10,000 Matching Annotations
  1. May 2026
    1. For example, it could be considered losing if a player fails to complete atask in a puzzle game, despite not actually competing against anotherentity.

      I would think that the more invested in gaming or a specific game a person is and the more that they perceive themselves as skilled, the more likely they are to become frustrated when playing. Extrapolating from the uses and gratifications theory, we can infer that a player who expects to perform well will become frustrated if they perform poorly, even if that performance is above average or in a non-competitive setting.

    2. Studieshave consistently found that participants who lost in a video game hadhigher levels of aggression and hostility post gameplay

      Obviously. I would infer that frustration is the main source of hostility between gamers. People are competitive and thus when their goal - winning - is blocked they take out their anger. Unluckily for everyone else, being behind a screen makes the other players seem like safe targets so the upset person or persons will freely let loose on others. This is also super unsatisfying for the frustrated person because their targets for venting aren't really tangible, and once they are upset they will probably lose even harder to their enemies.

    3. The impact of entertainment media on aggression has been dis-cussed for centuries. Even in the gladiatorial era of the Roman Empire,Tertullian (200) theorized that Christians might be seduced into sinfulbloodlust if they watched the gladiator games

      This is interesting. I think something important that I will bring up is that video games are so incredibly different from other forms of media. They need to be researched much more and can not be treated like other forms of media. There also needs to be understanding of the nuances of how and why people play and experience games. The whole "violence in video games" thing was so focused on imagery in games but most gamers today are focused on gameplay and incredible levels of aggression come from people playing relatively harmless looking games - think league of legends

    4. Initial studies that include competition indicate thatcompetition within video games does impact aggression, and that it is the competitive nature of violent videogames rather than the actual violence that has increased aggression. However, previous competitive video gamestudies have assumed levels of competition within video games or have used different games across conditions,both of which may have confounded results

      This is very interesting, and kind of exactly what I had hypothesized.

    5. with participants in the com-petitive condition demonstrating greater aggressive affect.

      This is interesting - they may have not reported a difference in competition level, but the competition created more aggression when it was reinforced through the conditions.

    6. Participants reported no significant difference between the compe-titive and low-competitive condition on the four-item competitivenessscale, F (1, 62) = 0.18, p = .68.

      I somewhat expected this. Scoreboards and time are not necessary to feel that you are competing. If you are playing a game with an opponent you will know and feel that you are competing. The choice of this study to use only one game was admirable, but you can't really make a 1v1 fps not competitive. I do think, however, that demonstrating how a game with direct competition leads to more aggression than one without is kind of a mute point. Also, an interesting point could be to see how emphasizing the importance of competition leads to aggression, like if the researchers encouraged some participants to win or even scolded them for losing, or if the game itself did this.

    7. A four-item scale (Elson et al., 2015) was used to assess if the vio-lence manipulation was successful. The items are: “You had to usephysical violence in this game”, “The characters in this game werehurt”, “Physical damage was inflicted on the characters in the game”,“You had to kill humans in this game”. Responses ranged on a 7-pointLikert scale from 1 (not at all) to 7 (extremely) and then all four itemswere averaged to give an overall violence score. The internal reliabilityof the four-item scale was good (α = 0.86)

      Okay so they were aware of this flaw. I've never taken psychology so I wasn't sure how much work they do to measure the accuracy and limitations of their experiments.

    8. This meant that participants had no indicationof whether they were winning or losing. In addition, before playing,participants in the low-competitive condition were informed that therewas no winning or losing. No time pressure was displayed and the videogame did not end after 10 min, rather the researcher came into theroom and informed participants to stop

      This is not a bad way to do it, although I would suspect that people with a high competitive drive would still feel the competition

    9. In the low-violent condition, the “Bio Rifle” was described to participants as apaintball gun which would freeze the opponent when hit enough times.In addition, when a player hit their opponent a “ping” noise would bemade rather than pain noises. Also, any text which stated that theplayer had “killed” their opponent was changed to “defeated” theiropponent

      ultimately whether you are killing or “defeating” your enemies, there is still a level of inherent violence and aggression. In the non-violent condition, researchers described the weapon used as a paintball gun, but there is certainly something still aggressive and violent about paintball in real life. It doesn’t matter how viscerally violent the actual fighting is, if you are engaging in direct competition where you need to attack your opponent in some way then aggression is inherent. In fact I would think aggression is likely in any kind of competition.

    Annotators

    1. Current successful examples of hybrid coralreef restorations that have reduced wave energy and coastal erosionrange from only ~0.1 km off the Marriott on Grand Cayman and~0.27 km off Maiden Island, Antigua, to ~0.55 km off CarreteraBayahibe, Dominican Republic (26).

      hybrid coral reef restoration is proven to be successful and can serve as a model for future restoration projects

    2. the greatest coastal flood hazard risk reductions of hy-brid coral reef restoration projects occur at shallow depths, close to

      where hybrid coral reef restoration is most effective

    3. The expectedannual benefit (EAB), in terms of the annual number of people thatcould gain protection because of potential coral reef restoration, is 2249(+13.0%) in Florida and 924 (+21.3%) in Puerto Rico (Table 1). TheEAB, in terms of the annual value of buildings that could gain protec-tion from potential coral reef restoration, is $161 million (+14.2%) inFlorida and $20 million (+24.6%) in Puerto Rico. The EAB, in terms ofthe annual value of economic activity that could gain protectionbecause of reef restoration, is $174 million (+12.2%) in Florida and$36 million (+22.1%) in Puerto Rico. The total EAB, adding directdamages and economic activity protected from coastal storm floodingby potential coral reef restoration, is $335 million in Florida and$56 million in Puerto Rico. Sectorally, the public would benefit relativelymore (+0.7% public versus +0.2% private) from coral reef restorationin Florida, whereas the private sector would benefit more (+3.6%public versus +51.9% private) from restoration in Puerto Rico.

      other than the amount of money restoration would cost and the manual labor that would take a lot of time for it, the long term benefits greatly outweigh the short term costs, creating an overall net benefit to the entire project

    4. Along 1005 km of shorelines of the state of Florida and the Com-monwealth of Puerto Rico, potential hybrid coral reef restorationwould cause the 100-year coastal flood zone to decrease by 19.7 km2,protecting 14,734 persons, $1.006 billion in property, and $797 millionin economic activity (2023 US dollars). This scenario would reducethe risk to people by 18.6%, property damage by 20.4%, and eco-nomic disruption by 14.9% less. Across the study area, potentialcoral reef restoration would cause the 1-in-100-year flood damagesto occur 20% less frequently.

      overall, coral reef restoration would cause floods to occur less frequently, and less intensely, greatly decreasing the amount of damage and people affected by flood damages

    5. coralreef restorations closer to shore in shallower water depths on narrowerreefs are generally more effective at reducing coastal flooding potentialthan deeper ones farther from shore on broader reef complexes

      where reef restoration would be the most effective

    6. Coral reefs’ hydrodynamic roughness and height cause increasedfriction and wave breaking that prevents coastal flooding from ex-tending farther inland,

      doesn't completely eliminate flooding, but reduces its impacts of communities that are further away from the shore, but still relatively close

    Annotators

    1. The 2026 Global Intelligence Crisis

      Summary of The 2026 Global Intelligence Crisis

      • Current Economic Context (2026): The article describes a 2026 landscape where unemployment is at 4.28%, AI capital expenditure accounts for 2% of GDP ($650bn), and over 2,800 data centers are planned for construction in the U.S.
      • The Diffusion Narrative: Contrary to fears of mass displacement, the author argues that the speed of AI adoption is following a traditional S-curve rather than an exponential explosion. Data shows that daily intensive use of AI for work remains stable rather than accelerating non-linearly.
      • Economic Constraints on AI: Recursive technology (AI improving itself) does not equate to recursive economic adoption. Deployment is bounded by physical capital, energy costs, and the marginal cost of compute. If compute becomes more expensive than human labor, substitution will stop.
      • Productivity as a Supply Shock: AI is framed as a positive supply shock that lowers costs and increases real income. History suggests that productivity surges expand the "consumption frontier" and create new industries rather than collapsing aggregate demand.
      • Labor Market Resilience: Software engineering job postings are rising (up 11% YoY in the provided data), and construction hiring is surging due to data center demand.
      • The Keynesian Parallel: Just as Keynes wrongly predicted a 15-hour work week in 1930, the author suggests humans will likely use AI gains to consume more and higher-quality services rather than withdrawing from the labor market.

      Hacker News Discussion

      • Skepticism Toward Statistics: Many commenters criticized the article for "lying with statistics." They pointed out that the 11% YoY rise in job postings uses a depressed scale on the Y-axis and a cherry-picked timeframe (late 2025 to early 2026) that ignores the massive crash from the 2022 hiring peak.
      • The "Vibe" of the Writing: Users debated the authorship of the post, with some calling it "AI slop" or an exaggerated version of McKinsey-style consulting prose, though others noted typos that suggested human authorship.
      • Impact of Tax Laws: Several participants attributed the 2022–2023 software job slump to Section 174 tax changes (requiring R&D amortization) rather than AI displacement, arguing that the recent "recovery" is just a normalization of those tax shocks.
      • Complement vs. Substitute: A central theme in the comments was whether AI enables "vibe coding"—allowing fewer engineers to do more, or allowing non-technical staff to build tools—and whether this ultimately increases the total volume of software projects or reduces the headcount of professional engineers.
      • Critique of Data Sources: There was a debate regarding the reliance on Indeed data, with some noting that while Indeed scrapes many sites, it may not accurately capture the hiring trends of elite tech startups that use specialized platforms like Greenhouse or Ashby.
    1. Growth factors (GFs) signal cells to proliferate — at current research-grade prices, they can dominate media costs. The slider below sets P(at least one scalable production route — e.g., autocrine cell lines, plant-based farming, or precision fermentation — reaches commercial scale by the projection year), switching between “expensive” and “cheap” GF price regimes. Code viewof p_recfactors = Inputs.range([0.1, 0.9], { value: urlNum("p_recfactors", 0.5), step: 0.05, label: html`P(Scalable <abbr style="cursor:help;text-decoration:underline dotted;" title="Growth Factor — signaling proteins like FGF-2, IGF-1, TGF-β that tell cells to proliferate. Currently the most expensive media component.">Growth Factor (GF)</abbr> technology)` })

      link to the learn/explainer page on the different types of potential GF innovation !

    1. Welcome to the typewriter club, and congratulations on your Royal HH.

      Preceded by the Royal KMM and the Royal KMG, the Royal HH was manufactured from 1952 to 1957 when it was replaced by the Royal FP, though it continued to sell well, even on the used market with newspaper advertising until the early 1980s.

      Here's a copy of the original manual from 1952: https://site.xavier.edu/polt/typewriters/royalhh.pdf

      The Royal HH was offered in Charcoal Grey smooth, Nile Green smooth, Horizon Blue smooth, Coral Rose, Gray Frieze, Royaltone Dark Gray wrinkle, Royaltone Light Gray wrinkle but far and away, the standard brown with green plastic keys was the most ubiquitous.

      Well known users of the Royal HH typewriter included: William F. Buckley, Jr., Charles Bukowski, George Burns, Herb Caen, Truman Capote, Bruce Catton, Patty Chayefsky, Don DeLillo, Alice Denham, James T. Farrell, Paul Fussell, Hugh Hefner, Elia Kazan, Sterling North, Robert B. Parker, Sylvia Plath, Mario Puzo, Robert Penn Warren, Eudora Welty, and William Zinsser. You can find photos of most of these writers with their machines at https://site.xavier.edu/polt/typewriters/typers.html.

      The Royal HH has appeared in movies including:

      These typewriters were especially appreciated by journalists:

      Newsroom at The Masters featuring dozens of Royal HH typewriters.

      img

      Spools and Ribbon:<br /> The spools for the standard Royal typewriters (Ten, H, KH, KHM, KMM, KMG, RP, HH, FP, Empress, 440, 660, etc.) have a custom metal mechanism for their auto-reverse. The spools are known as the T1 (which is the same as General Ribbon part # T1-77B , T1-77BR, and Nu-Kote B64.) If winding on universal ribbon onto them, remove the eyelette which isn't needed and may interfere with the auto reverse.

      If you're missing the original spools, Ribbons Unlimited carries them: https://www.ribbonsunlimited.com/6N064-Royal-Standard-Electric-Ribbon-64-p/6n064.htm or you might source an original metal pair from a local repair shop.

      Duane of Phoenix Typewriter has a video about how to change and spool up your Royal standard.

      Collector Sarah Everett can show you most of the functions on her YouTube Channel for Just My Typewriter: https://www.youtube.com/watch?v=v0Zvc1m-8aI.

      Some additional history can be found here: https://oztypewriter.blogspot.com/2012/11/on-this-day-in-typewriter-history_9.html.

      For additional resources on typewriters, collecting, repairing, and using them see: https://boffosocko.com/research/typewriter-collection/.

      Happy typing!

      Reply to u/MertwithYert at https://old.reddit.com/r/typewriters/comments/1swf5pn/ive_got_two_type_writers_id_greatly_appreciate/

    1. let's take the old man who lived on the second floor rightunderneath the room where the murder took place. At ten minutes after twelve on the night of the killing heheard loud noises in the upstairs apartment. He said it sounded like a fight. Then he heard the kid say to hisfather, "I'm gonna kill you.!” A second later he heard a body falling, and he ran to the door of his apartment,looked out, and saw the kid running down the stairs and out of the house. Then he called the police. They foundthe father with a knife in his chest.

      Juror 3 gives out a detailed summary of the murder. He also mentioned what the boy yelled right before stabbing his father.

    2. A kid kills his father. Bing! Just like that. Well, it's the element.They let the kids run wild. Maybe it serves ‘em right.

      Juror 10 introduces the murder to the whole jury in very simple terms.

    3. NO. 5: I never knew they locked the door.NO. 10: (blowing nose). Sure, they lock the door. What did you think?NO. 5: I don't know. It just never occurred to me.

      This part of the play shows how Juror 5 acts naive and afraid.

    4. This is the jury room in the county criminal court of a largeEastern city. It is about 4:00 P.M. The room is furnished with a long conference table and a dozen chairs. Thewalls are bare, drab and badly in need of a fresh coat of paint. Along one wall is a row of windows, which lookout on the skyline of the city's financial district. High on another wall is an electric clock. A washroom opens offthe jury room. In one corner of the room is a water fountain. On the table are pads, pencils, and ashtrays. Oneof the windows is open. Papers blow across the table and onto the floor as the door opens. Lettered on theoutside of the door are the words "Jury Room".

      The author is describing the design of the room.

    1. Verlon H. Pridgen Obituary It is with profound sadness and heartbreak that our family announces the passing of Verlon “Bill” Huey Pridgen on October 28th, 2024, at the age of 87 while surrounded by loved ones. Bill was born on February 1, 1937, to Morgan and Annie Pridgen in Samson, Alabama. He moved to Florida when he was young, where he lived out the rest of his life. While in high school in South Florida, Bill met the love of his life, Barbara Pridgen. Bill and Barbara married in 1957 and completed their family with their two children, Marc and Lesli. From 1959 to 1961, Bill proudly served in the United States Army. He was stationed at Fort Lewis in Washington and spent time serving in Germany. After retiring from the Army, Bill continued his lifelong career of working on typewriters. He eventually became the owner of McDavid Typewriter Service from 1970 to 2024. His love for all typewriters and his passion for repairing and restoring the machines earned him the endearing title of “Typewriter Genius”. As a devoted follower of Christ, Bill raised his family wrapped up in the love of God. He was an amazing role model and continually showed the love of God to those he encountered through his actions and words. He gave glory to God in all things. Bill was exceptionally committed to his church family at Trinity Baptist Church where he served in the choir and Cubbies. He also volunteered as a coach for their youth sports program. Exemplifying God always, Bill made the world a brighter place for 87 years. Bill is survived by a son, Marc (Donna) Pridgen; a daughter, Lesli (Greg) Wheeler; grandchildren, Ashley (John Robert) Pridgen-Blake, Gregory Wheeler Jr., Samantha (Curtis) Burkhardt, Alison (Garrett) Pridgen, Cindy Pridgen, Hannah Wheeler, Luke Wheeler, and Simon Wheeler; great-grandchildren, Skarlette Blake, Jackson Blake, and Lena Wheeler; and brothers, Donald (Sheila) Pridgen and Jerry (Marion) Pridgen. Bill was a cherished husband, father, grandfather, great-grandfather, and friend. He was preceded in death by his wife of 67 years, Barbara Pridgen; father, Morgan Pridgen; his mother, Annie Pridgen; and brothers, Gary Pridgen, and Robert Pridgen.Visitation will be held at 10am on Saturday, November 2nd, 2024, followed by the funeral service at 11am at Trinity Baptist Church at 3716 State Rd 21, Keystone Heights, FL, 32656. Interment will follow at Eliam Cemetery at 821 State Rd 21, Melrose, FL, 32666.In lieu of flowers, we ask that you donate to Haven Hospice to help their mission of honoring life by providing comfort, care, and compassion to individuals and families they serve. You can donate online at https://beyourhaven.org/donate or by mail to 4200 NW 90th Blvd, Gainesville, FL 32606. Cemetery Eliam Cemetery 821 State Road 21 Melrose FL 32666

      https://www.forestmeadowsfh.com/obituaries/Verlon-H-Pridgen?obId=42124630

    1. Still, the psychologist argues, “there’s no longer an excuse for releasing models that reinforce user delusions so readily.” “When one lab’s models can largely maintain safety across extended conversations, while others are willing to validate extremely harmful outcomes — up to and including a user’s suicidal ideation — it suggests this isn’t a flaw in the technology,” said Nicholls, “but a result of specific engineering and alignment choices.”

      The degree to which a model reinforces user delusions is not inherent to LLM-based tools per se, but instead

      "a result of specific engineering and alignment choices.”

    1. nd Cloudflare all use it. It's the foundation of HTTP/3 — the latest version of HTTP. But it's still not universal, so for most discussions, TCP is the safe default. The simple mental model: QUI
      1. The Fundamental Split Kernel Space: The privileged "inner sanctum" of the OS. It has direct access to hardware (Network Card, Memory, CPU). It is stable but hard to update. User Space: Where applications (Chrome, Nginx) live. It is restricted and cannot touch hardware directly; it must ask the Kernel to send data.
      2. HTTP/1.1 & HTTP/2 (The TCP Era) Location of Logic: Kernel Space. Division of Labor: App (User Space): Creates the HTTP request (Layer 7). OS (Kernel Space): Handles Layer 4 (TCP). It does the "Packaging & Sequencing," retransmission of lost packets, and flow control. The Bottleneck: To change how packets are handled, you have to update the whole Operating System. Every request requires a "Context Switch" (crossing the border from App to Kernel), which is slow.
      3. HTTP/3 (The QUIC/UDP Era) Location of Logic: User Space. Division of Labor: App (User Space): Handles both Layer 7 (HTTP) and the "Smart" parts of Layer 4 (QUIC). The app does its own packaging, sequencing, and encryption. OS (Kernel Space): Acts as a "dumb pipe" using UDP. It just tosses the app’s pre-packaged boxes out to the network card without looking inside. The Innovation: The transport logic is now a "library" inside the app, not a feature of the OS.
    1. Then a funny thing didn’t happen. The ebook didn’t vanquish its dead-tree forebear. In fact, demand for traditional print books has increased over the past 20 years and still outstrips that for ebooks. Many magazines and newspapers disappeared or went entirely online, but many didn’t. Print subscriptions at surviving newspapers have dramatically diminished, but a dedicated society of print readers remains.

      This has been the case for a long time, not just in niche markets and industries. There is a need for dedicated hard copies.

      I see this now with the tension between QR code menus and physical ones.

    1. To add a user to IAM Identity Center

      why are we adding users, is because we need to bind permission sets to a logical entity inside aws IAM identity center also. Unless we don't have this logical entity, IAM identity center can't bind permission sets/permission policies to actual users present in Google Workspace. There needs to be one-to-one mapping b/w the logical entities and the actual users. Using ssosync, we can automate the process of user creation.

    1. In order to better complete the study, we published the previously written research protocol after peer review. We will update this study according to the research protocol in the future.

      Title: The role of inflammation in depression: a scoping review protocol in mechanisms, evidence, and therapeutic potential

      Author: Yan Bo

      Journal: Research Connections

      DOI: https://doi.org/10.1093/rescon/vmag006

      Date: 21 March 2026

    1. online version of this textbook

      There is now the possibility to annotate the online version of the textbook using hypothesis, a social annotation platform. You'll need to create a (free) account on web.hypothes.is to add your own annotations and reply to other people's annotations. You can post your annotations publicly for all to see (like this post) or privately, if you are just taking notes for yourself. Participants in my classes are encouraged to post their annotations and replies in the class' private group. Ask me for the link, if you didn't receive it.

      If you don't want to see what other readers have highlighted and annotated, click on the "eye" button in the top-right corner of your browser to hide all annotations.

    1. Private IPs

      Devices in different homes (or networks) can absolutely have the same private IP address without any conflict. Why this works

      Private IPs are only meaningful inside a single local network.

      So:

      Your home Wi-Fi → its own “mini world” Your neighbor’s Wi-Fi → another separate “mini world”

      👉 These worlds don’t directly see each other

    1. "I want to forget," Martha said, and she stood alone in her hving room,

      One interpretation, within the context of Gilbert and Gubar's theory, is that this is the ultimate submission to the anxiety of authorship, the willing relinquishing of creativity. Yet, I feel that a more charitable read can be made. Like woman artists of history, Martha has struggled - with morality, with expectation - but has, despite it all, created. Though this may be, on the individual level, Martha unable to grapple with the anxiety of authorship, on a wider level, her creation - the dreams - remain in existence. In this way, she is like the foremothers of female literary history who "struggled in isolation that felt like illness, alienation that felt like madness, obscurity that felt like paralysis to overcome the anxiety of authorship that was endemic to their literary subculture." (13) Her work, persevering despite Martha's lack of memory, may provide the chance for other women to overcome the anxiety of authorship, even if she as an individual was unable to.

    2. And she went from being elated to—once again—being terrifred. "Whatif I say something wrong, make a mistake?""You will.""But .. . people could get hurt. People could die."

      This is, I believe, fundamental to the "anxiety of authorship" Martha experiences. Men throughout history, in both fiction and life, are allowed violence as heroes, struggle as a sign of moral character or personal depth, but women are rarely afforded the same logic. As Gilbert and Gubar say, "More, the masculine authority with which they construct their literary personae, as well as the fierce power struggles in which they engage in their efforts of self-creating, seem to the woman writer directly to contradict the terms of her own gender definition." (11) Indeed, the expectation placed on women is one of submission, benevolence, and motherhood; the masculinity of complex violence and moral struggle is not extended to them, especially in the act of creation, which, in the case of the task entrusted to Martha, would inevitably involve moral struggle and violence. Her authorship, her act of creation, would - by God's admittance - defy the socialization placed upon her.

    3. "You're truly free for thefirst time. What could be m.ore difficult than that?

      This moment is immediately ironic; Martha is, more than ever, not free. Even if this God is well-meaning, willing to view her as an equal to men of all race and status, they have immediately insisted upon intervening themself in her life, violating her right to normalcy, to being equal to others. How can she possibly be free when she is being held to the expectations of God, forced to see the truth beyond human existence, and be made Creator?

    4. "As I tell you aboutit, I want you to keep three people in mind: Jonah, Job, and Noah. Rememberthem. Be guided by their stories.

      As is central to Gilbert and Gubar's argument in "Infection in the Sentence," history, especially literary history, is patriarchal, and thus overwhelmingly male. It is unsurprising, then, that the stories God elects to use as a framework for Martha are all about men, and written by men. Gilbert and Gubar ask, of the female artist, "Does she have a muse, and what is its sex?" (10) and in this moment, God expects that Martha will find a sufficient muse in the parabolic stories of ancient men, completely unlike her.

    1. Before you work on improving your own life, you'll need to get an unbiased sense of where you currently are,

      remember focusing on this during the COVID period, and it was interesting to revisit it more deeply. One of the coaches at my school brought it up at the time, and initially, I didn’t think much of it. However, the more I read and learned, the more I began to understand the importance of taking care of yourself, through simple yet essential practices that nurture your soul, body, and spirit.

    1. The rule I kept was that I was not to cast blame. Icontinually kept an eye on the border between memoryand imagination. I understood that I agreed to be inthose moments of my told life, and took part in thestory. As I wrote, I was aware of using memory toconstruct something different from it, a process liketranslation from one language to another. I kept to truthas I knew it.

      In a way, avoiding the outing down of others is a way to stop the act of erasing one another. Letting the truth, even if it is just a person's truth, is letting them exist. In attempting to uphold some one's words, even a person you don't like is keeping them from dissapearing, as attacking someone, or trying remove their influence is in itself an act of erasure.

    2. To want to speak up is understandable. That’s what wedo as writers, as poets.

      The want to speak up, but not having anyone to talk to because of fear of getting ignored or being straight up ignored is common. My topic with college students overcoming their mental struggles is a good connection to my previous statement, because students can feel this way.

    3. As I reposted Stacy’s column on Facebook I almostintroduced it with: Owen and I often drive by the exit forAndrew Jackson’s Hermitage as we go between Tulsa andKnoxville. I am afraid to stop because I don’t know what Iwill do when confronted directly with the grave of this man. Irewrote because I worried how an interrogator could usethese words against me, to kill or torment me.

      This is an example of being included with her community. By reposting she is sharing more with her community and others.

    4. I go to historical sites, family sites,talk with people who know things, and read.

      I think by doing this could be helpful to try and understand what thoughts were like back then. It reminds me of something in the 1900's saying that in the next century, we will have flying cars, even though we currently don't. It was there point of view and personal belief that humanity would evolve to that point.

    1. The power of the process lies in the professional discussion about the learning and the sharing of effective strategies in preparing for the next stage of learning. This professional discussion generates new knowledge and is a catalyst for refining practice. In short, moderation is a strategy to examine and improve pedagogical practice.

      This is a continuous goal of mine to bring more effectively through PLC. I know we were able to engage in collaborative assessement, yet we were not able to really take action on the conversations, ideas and plan. The transfer to the classroom was not happening in some classrooms.

    1. have already learned that there is a high correlation between teacher expectations and student performance. During my study of school culture, one group emerged that possessed the ability to achieve higher levels of student performance and satisfaction in the classroom as compared to their colleagues. Their actions manifested their com- mitment to student success.

      What a powerful way to start this chapter- I have been reflecting on what makes a teacher effective and how this transfer to students learning. I wonder what is the key ingredient and this opening in has said it all- they are believers.

    1. he best feedback provides students with information about their progress or success and what course of action they can take to improve their understanding to meet the expected standard

      I connect to this statement through the realization of one of the teachers I worked with. She observed that when students receive feedback, they engage more deeply and are able to improve their work. This process also helped students develop a stronger sense of ownership over their learning.

    1. Mental disorder is a widely contested concept and there are longstanding debates on whether disorders are biological or social in nature.

      Ah the good old Nature vs Nurture debate once again. It's definately both. I wonder why Sociopath and Psychopath are not mentioned in this article

    1. AI is an incredibly powerful tool, and the key is learning how to use it without losing ourselves in it. Here’s how in five easy steps:1. Use AI as a thinking partner, not a crutchInstead of letting AI think for you, use it to enhance your thinking. For example, students can use AI to brainstorm ideas but still write their own essays. Professionals can use AI for research but critically evaluate those findings rather than blindly accepting them.

      I agree that AI should be used more as a "partner, not a crutch." I have used AI to help me understand instructions for assignments or material for upcoming exams, which has helped me to think things through and learn more effectively. Learning how to utilize AI more as a tool has made a significant difference in my learning, especially since having ADHD can make it hard for me to focus and process challenging material.

    2. Cognitive Load Theory tells us that our brains need a certain level of difficulty to process information deeply. If something is too easy – like, say, getting AI to write an essay for you – your brain doesn’t engage enough to form lasting knowledge.

      This is the first time I've heard of this theory, and It makes sense that learning requires a certain level of effort for information to be processed deeply and retained. If something is too easy, such as having AI write an essay for you, your brain may not engage as much, which can limit learning. However, I think this depends on how the tool is used. For example, if AI is used as a tool to support studying, such as explaining concepts or organizing ideas, it can still involve active thinking, help in understanding and retaining information. In contrast letting it write a paper requires no thinking skills and requires less active thinking.

    1. They found that people using the sites exhibited “a form of skimming activity,” hopping from onesource to another and rarely returning to any source they’d already visited. They typically read nomore than one or two pages of an article or book before they would “bounce” out to another site

      I'm not surprised by this research, but it made me think more because I've done the same thing. If my mom sends me a Facebook article that's more than a few paragraphs, I will choose to skim it to save time. I used to think I did this because I was busy, but this suggests that my brain has gotten used to a convenient quick read then a deeper one. It shows people prefer to get things done quickly rather than spending the time to fully read and understand them.

  2. social-media-ethics-automation.github.io social-media-ethics-automation.github.io
    1. Lauren Goode. I Called Off My Wedding. The Internet Will Never Forget. Wired, 2021. URL: https://www.wired.com/story/weddings-social-media-apps-photos-memories-miscarriage-problem/ (visited on 2023-12-07).

      This article discusses how social media algorithms can hold onto outdated versions of our lives, even after major personal changes. After she called off her wedding, platforms like Facebook and Pinterest continued to show her wedding ads and recommendations because the algorithms rely heavily on past behavior and engagement data rather than real time context. Definitely highlights how this is frustrating and painful, these systems can misrepresent people and not reflect who they are now.

    2. Kashmir Hill. How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did. Forbes, February 2012. URL: https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/ (visited on 2023-12-07).

      I've heard of this story soooo many times before hand. It truly is fascinating, at first, but when you look into it it becomes quite disturbing. How is Target knowing about a pregnancy before her father? More importantly, is Target building a profile on her? What are they doing with that data? So many questions come up from this story, and it really shows the extent to which data is being valued these days atleast in my eyes.

    3. Kashmir Hill. How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did. Forbes, February 2012. URL: https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/ (visited on 2023-12-07).

      This was a really cool and interesting read. I wonder what exactly the daughter was looking up that made Target absolutely sure that she was pregnant. I also found it very noble and humble that the dad reached out after and apologized to the manager; it was very sweet. But also, I bet the daughter was stressed out especially if as a high schooler, she was trying to hide the pregnancy.

    4. Elon Musk [@elonmusk]. Trashing accounts that you hate will cause our algorithm to show you more of those accounts, as it is keying off of your interactions. Basically saying if you love trashing *that* account, then you will probably also love trashing *this* account. Not actually wrong lol. January 2023. URL: https://twitter.com/elonmusk/status/1615194151737520128 (visited on 2023-12-07).

      This honestly makes a lot of sense. I think a trend on social media these days is influencers gaining traction by rage baiting their audience. People engage with negative content and that negative content keeps coming back, feeding into this negative mindset. Now it's clear to me that it's not only users that are pushing this forward, its also the companies designing these algorithms.

    1. Individual analysis focuses on the behavior, bias, and responsibility an individual has, while systemic analysis focuses on the how organizations and rules may have their own behaviors, biases, and responsibility that aren’t necessarily connected to what any individual inside intends.

      This whole idea from this chapter being the distinction between individual responsibility and systemic responsibility was pretty interesting. I think it's easy to blame individuals for interacting with things online, but it questions how much users can control the system. For example, if an algorithm is designed to reward engagement, then bad interactions gets boosted making it unfair to the responsibility on users when the system is promoting such behavior. When I personally use tik tok or instagram, I've noticed that when I try to avoid certain content, it would still show up anyways making me wonder how much choice do I really have versus how much is being shaped by the algorithm. This is why the broader discussions in ethics surrounding ideas like this questions if companies should be held accountable for the effects of their systems.

    1. However, the ease of travel had a disastrous unanticipated consequence when Yersina pestis, the bacterium that had caused the plague of Justinian and probably the Yamnaya-era depopulation, rose again to infect humans.

      It’s crazy and good we don’t get pandemics and diseases like this anymore.

    1. To understand what type of work suits us and to be able to convey that to others to get hired, we must become experts in knowing who we are. Gaining self-knowledge is a lifelong process, and college is the perfect time to gain and adapt this fundamental information. Following are some of the types of information that we should have about ourselves: Interests: Things that we like and want to know more about. These often take the form of ideas, information, knowledge, and topics. Skills/Aptitudes: Things that we either do well or can do well. These can be natural or learned and are usually skills—things we can demonstrate in some way. Some of our skills are “hard” skills, which are specific to jobs and/or tasks. Others are “soft” skills, which are personality traits and/or interpersonal skills that accompany us from position to position. Values: Things that we believe in. Frequently, these are conditions and principles. Personality: Things that combine to make each of us distinctive. Often, this shows in the way we present ourselves to the world. Aspects of personality are customarily described as qualities, features, thoughts, and behaviors.

      This give some things that explain what we can do and get out of learning more about ourselves

    1. people? What, exactly, do you hope to achieve out of the communication you initiate? An effective communicator understands the audience to whom they are trying to send a message.

      this is something I think a lot of people forgot that they actually need to be able to understand what they need from a conversation

    1. Just because you are facing a major exam in your engineering class (or math or science or English class) doesn’t mean everything else in your life comes to a stop. Perhaps that’s somewhat annoying, but that’s reality. Allergies still flare up, children still need to eat, and you still need to sleep. You must see your academic life as one segment of who you are—it’s an important segment, but just one aspect of who you are as a whole person.

      I always found it annoying that some teachers would make out exams to be some crazy thing but this kind off made me realize that it's just not the case and that even if I do bad on it I can still bring my grades up with other assingments.

    1. When you study, your biggest challenge may be to block out all the competing noise. And letting go of that connection to our friends and the larger world, even for a short amount of time, can be difficult. Perhaps the least stressful way to allow yourself a distraction-free environment is to make the study session a definite amount of time: long enough to get a significant amount of studying accomplished but short enough to hold your attention.

      This is something I always struggled with. I always found it hard to just get myself to start studying and found that it would take me awhile before I even started because I really didn't want to study.

    2. you need to develop a way to organize all your notes for each class so they remain together and organized. As old-fashioned as it sounds, a clunky three-ring binder is an excellent organizational container for class notes. You can easily add to previous notes, insert handouts you may receive in class, and maintain a running collection of materials for each separate course. If the idea of carrying around a heavy binder has you rolling your eyes, then transfer that same structure into your computer files. If you don’t organize your many documents into some semblance of order on your computer, you will waste significant time searching for improperly named or saved files.

      going to back to my previous notes and adding to them was always somewhat hard because I didn't really give myself the room to add stuff to them but this did help me a little bit on how to organize them.

    1. Bachelor of Arts (BA), Bachelor of Science (BS), Bachelor of Science in Nursing (BSN), and Bachelor of Fine Arts (BFA) are the most popular degree titles at this level and differ primarily in their focus on exploring a broader range of subject areas, as with a BA, versus focusing in more depth on a particular subject, as with a BS, BSN, or BFA. Regardless of whether a student is pursuing a BA, BS, BSN, or BFA, each of these programs requires a balance of credits or courses in different subject areas. In the United States, a bachelor’s degree comprises courses from three categories: general education courses, major courses, and electives. A fourth category of courses would be those required for a minor, which we will discuss in more detail in the section on majors and minors.

      I knew there was different kinds of degrees but not this many but this actually explained it pretty well. I want to do a nursing and this gave me some more information on what my degree will be looking like.

    1. What 4 engineers with 10+ years of experience say about staying relevant in the AI era
      • Human-Centric Engineering: Senior engineers emphasize that while AI excels at writing syntax, it cannot replicate the human ability to understand customer problems, business context, and the "why" behind a project.
      • Mastery of Fundamentals: Staying relevant requires a deep understanding of core computer science principles (data structures, algorithms, system design), as these allow engineers to vet and debug the often-flawed code generated by LLMs.
      • Strategic Tool Adoption: Rather than fearing AI, experienced developers view it as a sophisticated "power tool" or "junior pair programmer" that accelerates boilerplate tasks, allowing them to focus on high-level architecture.
      • Emphasis on Soft Skills: Communication, empathy, and leadership are highlighted as "durable skills" that AI cannot automate; being able to bridge the gap between technical constraints and business goals is more valuable than ever.
      • The "Judgment" Gap: AI models lack the foresight to predict long-term maintenance costs or technical debt; senior engineers are now increasingly acting as "editors" or "judges" of AI-generated solutions.
      • Continuous Adaptability: The consensus is that the role of an engineer is shifting from "writing code" to "solving problems," requiring a mindset that is willing to pivot and learn new paradigms as the tech stack evolves.
    1. I did no work for a year and no one noticed
      • The "Invisible" Employee: Leyla Kazim describes a year-long experiment in a previous corporate role where she essentially stopped working to see if anyone would notice.
      • Exploiting Managerial Gaps: Following a department restructure that left her with a vague role and a distracted manager, she realized her output wasn't being tracked or valued.
      • Performative Productivity: To maintain the illusion of work, she used "visual cues" of busyness, such as keeping complex spreadsheets open and spending 15 minutes a week fabricating data for slide decks that she knew would never be audited.
      • Time Reclaimed: Instead of performing job duties, she spent her office hours planning an extensive 10-month trip around the world, effectively using the company's time and salary to fund her personal exit strategy.
      • Existential Dread: Despite the "success" of the ruse, Kazim reflects on the soul-crushing nature of "meaningless theatre," noting that trading one's life force for a paycheck in a redundant role is a form of personal tragedy.
      • Final Resignation: She eventually resigned of her own accord, concluding that the experience proved "hard work" in a corporate setting is often more about perceived performance than actual utility.

      Hacker News Discussion

      • Moral and Personal Integrity: Many commenters argued that while "time theft" might feel like a victory against a cold corporation, it often leads to a loss of self-respect and professional skill atrophy.
      • The "Bullshit Jobs" Reality: Discussion centered on David Graeber's theory of "Bullshit Jobs," with users sharing their own stories of being stuck in roles where their absence would have zero impact on the organization.
      • Employer Resentment: Some users expressed frustration with the author, suggesting that this type of behavior justifies heavy-handed management, surveillance, and the replacement of human roles with AI.
      • Corporate Failure vs. Individual Ethics: There was a debate on whether the blame lies with the individual for being "dishonest" or with the organization for being so dysfunctional and bloated that a full-time employee could disappear for a year unnoticed.
      • The "Boreout" Phenomenon: Several participants noted that doing nothing is often more exhausting and mentally taxing than being busy, leading to a specific type of workplace depression known as "boreout."
    1. Ask HN: What skills are future proof in an AI driven job market?
      • Soft Skills and Judgment: Commenters emphasize that empathy, social skills, and the ability to build relationships remain highly valuable, as AI cannot truly navigate corporate politics or seek mutual human benefit.
      • Domain Expertise: While AI can generate code or content, humans are still required to provide the "judgment" to determine what is worth building and to foresee how architectural decisions will impact a project years down the line.
      • Physical Trades: Many users suggest that "blue-collar" trades—such as plumbing, electrical work, and construction—are the most future-proof because the physical dexterity and adaptability required for these tasks are far beyond current robotic capabilities.
      • Communication: Superior written and verbal communication is cited as a vital skill, both for leadership and for effectively "prompting" or directing AI tools to achieve specific professional goals.
      • Critical Thinking: The ability to identify when a task definition is wrong or when a product doesn't "make sense" for a human user is seen as a distinct human advantage over models that follow instructions literally.
      • Legal and Accountability Roles: Jobs that require a "human in the loop" for legal liability or ethical reasons—such as doctors, lawyers, and military personnel—are considered safer from complete automation.
      • Metalearning: The most important skill may be the ability to learn new tools quickly and discard old ones without emotional attachment, adapting as the technology evolves.
    1. The companies website isn't for the founder, the marketing manager, or the board. It's for the person you've never met - the customer weighing up a purchase, the lead chasing a phone number, the visitor sizing up your credibility or the member signing up to access gated content.Decision-makers tend to forget this because they're too close to it.
    1. Digital Sovereignty: Wire to Replace Signal as Standard in the Bundestag
      • Bundestag Security Shift: Bundestag President Julia Klöckner has recommended that members of the German Parliament switch from Signal to "Wire," a BSI-certified messenger, as the new standard for communication.
      • Digital Sovereignty: The move is framed as a step toward digital sovereignty, reducing reliance on US-based platforms like Signal or WhatsApp in favor of a service with European roots and German security certification.
      • Phishing Mitigation: A primary driver for the recommendation is security; Wire allows registration via email rather than a phone number, which is intended to hide a central identification feature and make phishing attacks more difficult.
      • BSI Certification: The "Wire Bund" version has been approved for data classified as "Verschlusssache – nur für den Dienstgebrauch" (Restricted) until 2028.
      • Human Factor vs. Technology: Critics and experts note that while Wire is secure, it is not a "panacea." Recent successful phishing attacks against politicians (including Klöckner herself) highlight that the human user is often the weakest link, regardless of the app's encryption.

      Hacker News Discussion

      • Vendor Lock-in Irony: Commenters pointed out the irony of moving from one vendor-locked system (Signal/US) to another (Wire/German-Swiss), questioning why the government didn't choose Matrix, which is an open standard used by NATO and other EU entities.
      • Deployment Details: A former developer shared that Wire was originally deployed for the Bundeskanzleramt using a Nix-based delivery method to allow for completely air-gapped server installations.
      • Skepticism of Motivation: Some users suggested the switch might be politically motivated or a way for Klöckner to deflect from her own experience being phished, rather than a purely technical security upgrade.
      • Data Privacy Concerns: Discussion arose regarding jurisdiction; while Signal is US-based, Wire is subject to German/Swiss law. This is seen as a benefit for EU sovereignty but also raises questions about local legal intercept requirements.
      • Technical Comparisons: Users debated the UX and backup reliability of Wire versus Signal, with some noting that Wire's media backup system has historically been less robust than Signal's.
    1. Both have the same serial again. Resellers like this are not doing any favours for the community. Brooksaw: https://www.ebay.com/itm/318227695061 Kyle’sLost&Found: https://www.ebay.com/itm/157839087546

      https://www.reddit.com/r/typewriters/comments/1t0569c/brooksaw_at_it_again_another_service_worth_2800/

      The typewriter community not appreciating Brooksaw Antiques buying a typewriter for $200 and then, upon receipt, posting it for $2,800 as "near mint" without any servicing beyond cleaning the slugs.

    1. The collector in me says you ought to get a Royal 10 as your 10th machine. But what do I know? I bought a Remington 17 as my 17th and I'm looking forward to the days I'll buy the milestone Remington Ten Forty or the eventual Hermes 3000! 😁

      If it helps, at Virtual Hermans 2022, Richard Polt recommended someone justify their continued typewriter collecting to their skeptical wife as an "investment" because typewriters are holding their value well.

      I personally don't have a typewriter collecting problem, I have a typewriter ribbon collecting problem that's compounded by need to both store and use them in their original historical context.

    1. There are concerns that echo chambers increase polarization, where groups lose common ground and ability to communicate with each other. In some ways echo chambers are the opposite of context collapse, where contexts are created and prevented from collapsing. Though others have argued [k16] that people do interact across these echo chambers, but the contentious nature of their interactions increases polarization. Along those lines, ff social media sites simply amplify content that gets strong reactions, they will ofte

      I think the argument that people do tend to intereact across these isolated chambers created by the algorithm is true, but it doesn't account for the full picture. Yes- people are able to see different opinions online, and sometimes the algorithm will provide as such. However, the algorithm feeds on enagement. Which one are people more likely to enage with, one disucssing a dicey topic fueled with emotional responses, or a rational analysis on the situation. The emotional responses attract both positive and negative reactions, which only feed into the cycle of engagement. However the anaylsis, eh, maybe some people will like it.

      As I stated earlier, people often feed into this cycle especially when fueled by negative emotions. This encourages the algorithm to keep promoting the content that a) gets you to keep thinking a certain way and b) content that opposes such views for you to get enraged by.

    1. Staring at walls to improve focus and productivity
      • The Problem: Information Overload
        • Modern individuals are "drowned in a sea of information."
        • Estimates suggest the average person consumed 34 GB of data daily in 2008, a figure that likely reached 87 GB by 2024.
        • This leads to a cycle of "brain fog," caffeine dependency, and dopamine-seeking behavior through media consumption.
      • The Solution: Wall Staring
        • The author adopted a routine from "Simple Lucas" to combat mental fatigue.
        • When hitting a productivity wall, the author sits and stares at a wall for 5–10 minutes.
        • The technique involves:
          • No screens or entertainment.
          • Activating the parasympathetic nervous system by using "out-of-focus" peripheral vision.
          • Attempting to "blank the mind" and think of nothing.
      • Results
        • Despite being surprisingly difficult and requiring mental effort similar to a physical workout, the practice effectively restores focus.
        • The author reports significant improvements in focus and motivation by breaking the dopamine loop.

      Hacker News Discussion

      • The Loss of "Disattention": The most upvoted comments argue that smartphones don't just steal attention, they steal "disattention"—the crucial downtime where the mind is allowed to wander.
      • Default Mode Network: Users noted that avoiding boredom prevents the brain from entering "default mode thinking," which is essential for creativity, stress reduction, and making associations between ideas.
      • Historical Context: Commenters cited Blaise Pascal’s famous quote: "All of humanity's problems stem from man's inability to sit quietly in a room alone."
      • Systemic Design: Some argued that smartphones are intentionally designed by third parties to be "attention-gathering" sanctuaries, stripping away user agency to ensure they never remain idle.
      • Reading While Walking: A side discussion emerged about people who read (books or Kindles) while walking, using peripheral vision to navigate, further highlighting the modern obsession with constant input.
  3. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 13, In Their Eyes Were Watching God, Janie marries Tea Cake, briefly fears he stole her money, but he returns, wins it back (after getting hurt), and they plan a new life together in the Everglades.

    2. in chapter 13, Janie woke up to find Tea cake gone and her hidden money is missing. Tea cake returns and explains that he used the money to treat friends and buy guitar.

    3. Jacksonville. Tea Cake’s letter had said Jacksonville. He had worked in the railroad shops up there before and his old boss had promised him a job come next pay day. No need for Janie to wait any longer. Wear the new blue dress because he meant to marry her right from the train. Hurry up and come because he was about to turn into pure sugar thinking about her. Come on, baby, papa Tea Cake never could be mad with you!

      Tea cake is telling Janie to come to Jacksonville quickly because he loves her and wants to marry her immediately.

    4. That morning Tea Cake got up earlier than Janie did. She felt sleepy and told him to go get some fish to fry for breakfast. By the time he had gone and come back she would have finished her nap out. He told her he would and she turned over and went back to sleep.

      She got used to sleeping in

    5. Tea Cake must be hunting all over the city for that fish. She kept that thought in front of her in order not to think too much.

      She knows somthing is off but then again she doesn’t know it’s almost like she has a weird feeling

    6. The train beat on itself and danced on the shiny steel rails mile after mile. Every now and then the engineer would play on his whistle for the people in the towns he passed by. And the train shuffled on to Jacksonville,

      They get married in Jacksonville and soon after tea cakes was gone

    7. My heart stopped when Tea Cake took Janie’s $200. After Logan’s greed and Jody’s control, I was sure this would be the betrayal. But the fact that Janie didn’t stay silent. she screamed at him and that he actually came back and won the money back? That changes everything. She’s not a victim here; she’s a partner.

    8. Jacksonville. Tea Cake’s letter had said Jacksonville. He had worked in the railroad shops up there before and his old boss had promised him a job come next pay day. No need for Janie to wait any longer. Wear the new blue dress because he meant to marry her right from the train. Hurry up and come because he was about to turn into pure sugar thinking about her. Come on, baby, papa Tea Cake never could be mad with you!

      Tea cup is trying to commit to Janie and writing to her

  4. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. In Their Eyes Were Watching God, the town gossips that Janie is acting improperly with Tea Cake and suspect he wants her money. Pheoby warns her, but Janie says she’s happy, in love, and choosing to live life her own way—even planning to marry him and leave town.

    2. Eatonville people were gossiping about Janie relationship with Tea Cake. She is planning on marrying Tea Cake. She wants to sell the store and start a new life.

    3. Poor Joe Starks. Bet he turns over in his grave every day. Tea Cake and Janie gone hunting. Tea Cake and Janie gone fishing. Tea Cake and Janie gone to Orlando to the movies. Tea Cake and Janie gone to a dance. Tea Cake making flower beds in Janie’s yard and seeding the garden for her. Chopping down that tree she never did like by the dining room window. All those signs of possession. Tea Cake in a borrowed car teaching Janie to drive. Tea Cake and Janie playing checkers; playing coon-can; playing Florida flip on the store porch all afternoon as if nobody else was there. Day after day and week after week

      People in town are talking and saying that tea cake is controlling Janie because they do everything together

    4. In chapter 12 is about how Janie loves tea cake and they are planning on getting married but the whole town doesn’t support them all because Janie is rich and tea cake is poor

    5. Oh dey got it all figgered out. Maybe it ain’t as bad as they say, but they talk it and make it sound real bad on her part.

      The towns people do not like tea cake and Janie together but Janie doesn’t care. They are very rude to her.

    6. Tea Cake and Janie gone hunting. Tea Cake and Janie gone fishing. Tea Cake and Janie gone to Orlando to the movies. Tea Cake and Janie gone to a dance

      Tea Cake and Janie have gotten closer and closer together way better then all her previous relationships with Joe or with Logan.

    7. Poor Joe Starks. Bet he turns over in his grave every day. Tea Cake and Janie gone hunting. Tea Cake and Janie gone fishing. Tea Cake and Janie gone to Orlando to the movies.

      People are mad that Janie is doing stuff with tea cake.

    1. In

      Try something like this maybe:

      In this chapter, we will consider models where the variance also depends on covariates. This leads to the following model specification:

      \begin{gather} Y_i \sim N(\mu_i, \sigma_i^2) \nonumber \ \mu_i = \beta_0 + X_{1i}\beta_1 + X_{2i}\beta_2 + \ldots X_{pi}\beta_p \nonumber \ \sigma^2_i = f(Z_i; \delta) \nonumber \end{gather}

      where \sigma_i^2 is written as a function, f(Z_i; \delta), of predictor variables (Z) and additional variance parameters \delta. The set of predictor variables (Z) may overlap with or be distinct from the predictors used in the mean model (X).

      If you don't go with this version, I think splitting up that long sentence into a few distinct sentences and removing the appositive expressions separated by "," in favor of something more readable that doesn't break up the flow as much.

    1. Very interesting work for those of us studying this niche topic of viral encephalitis in DBR1-deficient patients. The mechanistic explanation that dsRNA lariat accumulation desensitizes dsRNA sensors provides complementary and, in some respects, deeper insight of how DBR1 deficiency compromises the host's antiviral defense - adding to previous work by many of the same authors, such as Zhang et al. (2018), Chan et al. (2024), and Ru et al. (2025) that have contributed a great deal to our understanding of this pathology. I've been looking forward to its peer-review and publication ever since I first read it in the summer of 2025.

    1. Middlemas’ book is particularly valuable for the light it throws on the way in which British re-armament—for the sake of which Chamberlain was supposed to have ‘gained valuable time’ at Munich—was bedevilled and strangled by the Government’s insistence that nothing must be done to produce more than a minimal disturbance of the profitable operations of private enterprise in industry and commerce

      look this up

    1. In a number of investigations, artificial intelligence was analysed in the context of students.Among them are those in which the emphasis was on students' perceptions of AI, includingtheir attitudes, beliefs, and/or fears.
    2. AI technology influenced the area of communication in the educational process, with a focuson providing adequate feedback to students (Chassignol et al., 2018). According toWongvorachan et al. (2022, p. 95), feedback represents „a crucial component of studentlearning“ that enhances the level of their understanding.
    3. The results obtained were followed by a discussion and conclusion sectionproviding their consideration from the aspect of previous research, the cultural context inwhich the research was conducted, and consequential recommendations.
    4. When it comes to content and teaching, the application of AI can contribute to itscustomisation. Taking into account the heterogeneity among students, a better understandingof their learning requirements is necessary and therefore the educational content to bepersonalised to their needs (Bhutoria, 2022).

      The material that is taught in the classroom setting is very much generalized because it is for many different students who learn in different ways so sometimes students tend to reach for AI resources because they feel the need to customize and personalize their material.

    5. The potential benefits of personalised learning are numerous. Not only can its models reducestudent dropout rates and support the learning process, but they can also help to achievesustainable development goals (SDGs) presented by the UN General Assembly, such as thoserelated to ensuring equal quality education for all (SDG4) and reducing inequalities betweenonline and on-site approaches with special emphasis on students with disabilities (SDG 10)(Furini et al. 2022).

      Can help be helpful in reaching equity for any and all students. Of course there are specific ways to use AI in a way that can be helpful in expanding the learning process rather than just making it easier.

    6. As an alternative to a traditional concept,personalised learning can be defined as an “approach in which teaching is customisedaccording to the needs and abilities of an individual student” (Magomadov, 2020, p. 1).
    7. Like in many other areas, artificial intelligence has been applied in education, which has beeninfluenced by various factors and changes over the last few decades. Financial pressures onuniversities associated with the increased number of students and larger staff and operatingcosts, partly caused by the democratisation of higher education, make the use of AItechnology very attractive

      As the times have changed, the need to catch up to AI also has. Students are encouraged to use AI because it is implemented everywhere. Google had Gemini, there is ChatGPT, literally every other website uses some type of AI chat, desensitizing us to what AI can actually do and the effect that it actually has.

    8. At the same time, onecannot neglect the importance of student perceptions regarding it,

      Depending on the perceptions of AI and how students view it then that will change whether or not students. For example, students who have a negative perception on AI are less likely to use than those who have a positive perception.

    9. The increased significance of artificial intelligence (AI) and the possibilities to implement itin higher education can be identified in contemporary conditions.
    1. If most efficiency improvements came from a small handful of scale-dependent innovations, then existing models of the software intelligence explosion may be flawed.

      Explosion models fundamentally wrong

      Most AI safety models assume continuous innovation, but author shows progress from few scale-dependent innovations breaks these models.

    2. none explicitly account for training compute scaling being a source of software progress, so they could heavily overstate the importance of research effort.

      Research effort overvalued

      Most prioritize AI research effort for progress, but author shows compute scaling contributes more, potentially overvaluing R&D.

    3. Researchers have been throwing tons of effort into getting better training data. For example, Surge AI had a revenue of over $1 billion last August, and Scale AI was probably in a similar boat.

      Data industry > AI progress

      Most focus on algorithmic breakthroughs, but author shows data companies with $1B+ revenue drive more efficiency than algorithmic innovations.

    4. the error bars look almost comically wide in the graph above — across the different estimates, they range from around 1.1× to 300× per year!

      Progress estimates wildly uncertain

      Most treat software progress estimates as precise, but author reveals uncertainty spans orders of magnitude, making predictions unreliable.

    5. Almost all the evidence points to very fast software progress: each year, the training compute needed to get to the same capability declines several times — possibly even ten times or more.

      Progress much faster than thought

      Most believe AI progress is primarily from scaling compute, but author shows software progress could be 10x+ per year, dwarfing compute scaling.

    6. AI software progress is about reducing the training compute you need to get to the same level of capability, through better algorithms or data.

      Software progress redefined

      Most think software progress = better algorithms, but author says it's about reducing compute needed through better algorithms OR data.

    1. WIRED first learned about the campaign after this article’s author was invited by SM4 to participate. The details were later confirmed by several other content creators who received similar outreach.

      lol

    2. In an Instagram video posted on April 1, lifestyle influencer Melissa Strahle poses outdoors before an American flag as soft instrumental music plays. “AI lets me focus on what matters most,” she tells her 1.4 million followers. “We need to invest in American-made AI to ensure America leads the way in innovation and job creation.”

      lol

    1. Open Peer-Review

      Provide the website of the platform. Because when I tried to look it up, there are quite some website with similar name.

      If you use Generative AI for the development of this manuscript, in any instances of the section, you should declare it in the acknowledgement. The declaration could be something like this " The MARA AI was deployed for improving the [SECTIONS] of the manuscript". You need to explain in more detail in the acknowledgement, what aspect of the manuscript that developed by the agent.

      The methodology section is not detailed enough. You should explain how you retrieve the data, what PDB ID you use, what PUBCHEM ID for your ligand, how are you going to validate your docking method (with a standard drug, or with a decoy).

      Moreover, you should explain your PASS server Pa cut off

      No online generative AI bypass the HPC infrastructure, because they are using it anyway. It just relieve the need to use HPC in the end user side, not the server side.

      Can MARA AI help you to do MD? If it can do it, better you do the MD as well

      Can you ask the MARA AI to provide all the python and shell script deployed in this project? If they can't provide it, it is a concerning limitation as well. Because it is impossible to replicate the simulation. On the other hand, standard generative AI platform such as Claude and Codex could provide the source code, so replication is easy. You should discuss this in the study limitation.

      In bioinformatics, if you can't access the source code, it is not democratic at all. Better rephrase this wording into something else, such as "make it easier" or else.

    1. Taking the writing process seriously means not accepting one-size-fits-all ‘writing tips’. You need to find a source of writing insight that addresses your general writing situation and that resonates with your specific approach to writing.

      Against one-size-fits-all writing tips for bloggers.

    1. GO BACK ANDFIND OUTWHOM HE LOSTFIRST - HIMSELFOR ME'?THENCOME TOTAKE ME

      In the story of Draupadi from the Mahabharata and its comic version, the idea of the hero is strongly connected to gender roles. The male heroes, like the Pandavas, are supposed to protect honor and justice. However, in the court scene, when Draupadi is humiliated, they remain silent. This moment challenges the traditional image of the male hero. They have power, but they fail to act when it is most important.

      Draupadi shows a different kind of strength. She does not stay silent. She questions the men in the court and demands justice. This is important, because women in these stories are usually expected to be quiet and obedient. Draupadi breaks this role. She speaks with courage, even when she is alone. This changes the idea of the hero. The hero is not only the one who has power, but also the one who dares to speak against injustice.

      The language of the original Mahabharata is formal and serious, and it reflects a culture where male authority is strong. The comic version uses simple words and powerful images, which make the scene more emotional and easier to understand. It highlights the injustice more clearly and makes the silence of the men feel even stronger. This shows how modern versions can question older values and reveal the limits of traditional heroism.

      Overall, this story shows that gender defines who is expected to act and who is expected to suffer. But Draupadi’s voice challenges this idea and forces us to rethink what a true hero is.

    1. Sita Sings the Blues

      In the Ramayana and in Sita Sings the Blues, the idea of the hero changes because of gender. In the original text, Rama is shown as the perfect hero. He follows duty, honor, and social rules. Sita is expected to be loyal, quiet, and pure. Her role is not to act, but to accept. This shows a strong patriarchal view, where the man is the hero and the woman must support him, even if she suffers.

      In Sita Sings the Blues, this idea is challenged. The story gives more attention to Sita’s feelings and pain. We start to question Rama’s actions. He is still “the hero” by tradition, but emotionally he feels distant and even unfair. Sita, on the other hand, becomes stronger in a different way. She does not have power, but she endures pain with dignity. This changes the definition of a hero. The hero is no longer just the one who has control, but the one who survives injustice.

      The language and style of each version are very different. The Ramayana uses formal and traditional language, which supports the social rules of its time. It presents gender roles as normal and correct. In contrast, Sita Sings the Blues uses simple language, humor, and modern music. This makes the audience think more critically. It exposes the unfairness in the story instead of hiding it. The modern style breaks the authority of the old text and shows how culture and time can shape what we accept as “heroic.”

      This comparison shows that the idea of the hero is not fixed. It depends on gender roles and on the time in which the story is told. What was once seen as honorable can now be questioned. In this way, Sita’s silence in the past becomes a strong voice in the present.

    1. Figure 4.

      In the text, the larger circles are explained as different levels of protein complexing and interaction. It would be helpful to note that here in the figure description. I think it would also be good to mention whether the spatial distribution of circles is meaningful. Do two touching circles share something in common in ways that distant circles do not? Also, the key refers to small circles as complexes, but the description refers to them as individual proteins. This should be clarified. Finally, it would be good to distinguish between uncharacterized genes that have a UniProt function that is known, versus those that are not known, especially since some of these complex which are completely made up of uncharacterized proteins have annotated functions in this figure.

    2. 31 diverse eukaryotic species

      Firstly, I want to commend you for sampling Viridiplantae thoroughly in this reconstruction. These organisms are often skipped or under-sampled, especially when the focus is on human disease in evolutionary biology. I think it would be interesting to include more diversity within these separations. For example, within Viridiplantae, red and green algae which both add important early-diverging context to ancestral reconstruction, and within TSAR, adding brown algae or at least more species outside of the Plasmodium genus.

    3. while previous studies reported ∼500 OGs45,46.

      When looking at these references, the second reference doesn't seem to focus on LECA but a branch within Amorphea. The other does but it mentions a number closer to 700. I understand it is very likely that these are the best references to approximate OG hit expectations. If that is the case, it might be more informative to show that the gene hits in these studies are in the same OGs are those you identified (or quantify how closely they overlap).

    4. Figure 2.

      This is a small thing, but I noticed that LECA is marked as being on the tip of the root of your phylogeny. I believe it should actually be at the most ancestral node, at the other end of the root branch where Amorphea and Archeaplastida meet.

    5. Finally, by exploring these ancient protein interactions, we found new human gene-disease associations for bone density and congenital birth defects, illustrating the value of ancestral protein networks for modern functional genetics.

      This is super cool work leveraging conservation across deep evolutionary time scales. The core thesis is that the PPI that are old (and detectable) enough across these time scales should be fruitful for genotype-phenotype mapping in contexts like human disease, makes overall sense. The fact that you can point to specific examples where this works is also quite remarkable. However, I do wonder if there's potential interesting followup to more directly test the hypothesis of ancient homology -> relevance to disease. The approach outlined here may be just as useful on shorter (but still deep timescales) e.g. across vertebrates, where homology/conservation might still be informative, but there might be more ability to pick up signal on these sorts of relationships. It would be extremely interesting to see does e.g. Fig 6A changes as you alter the timescale of divergence in the selected species. Going shallower will likely come with the potential drawback of adding more noise in the analyses, but this is a relationship that is worth explicitly interrogating.

    1. The one real underlying asset, Workday's trillion-transaction dataset, is thinner than it sounds; what actually matters at runtime is how data connects to workflows, permissions, and integrations, and every layer of that stack is now a liability.

      大多数人认为Workday的大量交易数据是其核心资产和护城河,但作者认为这些数据价值被高估,而连接层才是关键。这一观点挑战了数据规模作为企业软件护城河的传统认知,暗示数据连接方式比数据量本身更重要。

    2. When customers renew at close to 100% every year, it's usually read as a sign the product is delightful. In Workday's case, it's a sign of something else: leaving is close to impossible.

      大多数人认为高续约率意味着客户满意,但作者认为这实际上反映了客户被锁定在系统中难以离开。这一观点挑战了软件行业常见的假设,即高续约率等于产品成功,而揭示了Workday的防御性商业模式。

    1. We introduce the Agent-Native Research Artifact (ARA), a protocol that replaces the narrative paper with a machine-executable research package structured around four layers

      大多数人认为传统论文格式将继续作为学术交流的主要形式,但作者主张完全用机器可执行的研究包取代叙事性论文,这挑战了数百年来的学术出版传统,暗示着学术交流的根本性变革。

    2. On RE-Bench's five open-ended extension tasks, preserved failure traces in ARA accelerate progress, but can also constrain a capable agent from stepping outside the prior-run box depending on the agent's capabilities.

      大多数人认为保留失败记录总是有益的,但作者发现这些记录可能会限制AI代理的创新能力,阻止它们跳出'先前运行的盒子'。这一反直觉观点表明,即使是改进的研究方法也可能存在意想不到的限制。

    3. Scientific publication compresses a branching, iterative research process into a linear narrative, discarding the majority of what was discovered along the way.

      大多数人认为科学论文完整记录了研究过程,但作者认为传统科学论文实际上丢弃了大部分发现,只呈现线性叙事,这构成了所谓的'故事税'。这种观点挑战了学术界对出版物完整性的普遍认知。

    1. By late 2025, total AI data center power capacity had reached roughly tens of gigawatts, which puts AI's electricity consumption at a scale comparable to the peak electricity demand of the state of New York

      AI数据中心总电力容量已达数十吉瓦,相当于纽约州高峰电力需求。这一数据点突显了AI产业对能源的巨大需求,以及由此带来的能源挑战和环境影响。随着AI计算能力继续增长,能源供应将成为制约AI发展的关键因素之一,可能推动行业向更节能的技术方向发展。

    2. Across leading AI companies where breakdowns are available, the chips and computing time to run them account for 54% to 62% of total spending

      AI硬件成本占AI公司总支出的一半以上(54%-62%),这凸显了计算资源在AI开发中的核心地位。如此高的比例表明,AI公司的竞争很大程度上转化为对计算资源的获取和利用能力的竞争。这也解释了为什么各大公司愿意为芯片支付高价并积极投资自研芯片。

    3. By the fourth quarter of 2025, the five largest chip designers had cumulatively shipped roughly 20 million AI chips

      这个数据点表明AI芯片市场已经达到相当规模,约2000万片。考虑到每片芯片价值数万美元,这个市场总价值已达数千亿美元级别。这个数字反映了AI硬件需求的爆炸性增长,但也需要考虑这是累积数据而非年度出货量,可能包含较早的芯片型号。

    1. We also learned that treating agents as rigid nodes in a state machine doesn't work well. Models get smarter and can solve bigger problems than the box we try to fit them in.

      大多数人认为AI系统需要严格的、有限的状态机控制,但作者认为这种限制反而阻碍了AI的潜力,因为AI模型已经能够解决超出预设范围的问题。这个观点挑战了人们对AI系统设计的传统认知,暗示我们应该给予AI更大的自主权而不是限制它。

    2. Our early versions of agentic work was only asking Codex to implement the task. That approach proved too limiting. Codex is perfectly capable of creating multiple PRs as well as reading review feedback and addressing it.

      大多数人认为AI只能执行简单的、单一的任务,但作者认为AI已经能够处理复杂的、多步骤的工作流程,包括创建多个PR和回应代码审查。这个观点挑战了人们对AI能力的传统认知,表明AI已经进化到能够理解并执行复杂的软件工程任务。

    3. When our engineers no longer spend time supervising Codex sessions, the economics of code changes completely. The perceived cost of each change drops because we're no longer investing human effort in driving the implementation itself.

      大多数人认为AI编程会增加监督成本,但作者认为通过Symphony系统,人类监督成本实际上大幅下降,因为AI能够自主完成大部分实现工作。这个观点挑战了人们对AI编程成本结构的普遍认知,暗示正确的AI编排可能根本性地改变软件开发的经济模型。

    4. Among some teams at OpenAI, we saw the number of landed PRs increase by 500% in the first three weeks.

      大多数人认为AI辅助编程只能带来适度的生产力提升,但作者认为Symphony系统实现了500%的代码合并增长率,这是一个惊人的数字。这个数据点挑战了人们对AI辅助编程效果的传统预期,表明正确的AI编排可能带来指数级的生产力提升。

    5. Six months ago, while working on an internal productivity tool, our team made a controversial (at the time) decision: we'd build our repo with no human-written code. Every line in our project repository had to be generated by Codex.

      大多数人认为软件开发必须由人类编写核心代码,但作者认为完全由AI生成代码是可行的,因为他们成功地构建了一个没有任何人工代码的仓库。这个观点挑战了软件开发的传统认知,暗示AI可能已经发展到能够独立完成整个项目的程度。

    1. The depth of recursion becomes a tunable compute axis at inference time, requiring no retraining. A small model, by reading itself, can iterate toward answers that neither it nor any of its workers could reach in a single pass.

      大多数人认为模型的能力受其规模和训练数据的限制,需要更大模型或重新训练才能提升性能。但作者提出小模型通过自我递归调用可以在推理时动态扩展能力,无需重新训练就能达到单个模型无法企及的高度。这挑战了规模即能力的行业共识,暗示小模型可能通过自省机制实现突破性能力。

    1. We estimate, with 90% confidence, that between 290,000 and 1.6 million H100-equivalents of compute were smuggled through the end of 2025.

      大多数人可能认为走私到中国的AI芯片数量在数万级别,但作者的估计显示实际数量可能高达数十万甚至上百万H100等效芯片,这一数量级远超公众认知,表明走私问题的严重程度被严重低估。

    2. The biggest driver of uncertainty on the diversion side is that we don't know what fraction of diversion has been observed. The large-scale smuggling schemes detected and reported so far could represent the majority of the volume, or they might be just a small fraction of the total flows.

      大多数人认为已曝光的大型走私案件代表了走私活动的主体,但作者指出这些已知的案件可能只是冰山一角,实际走私规模可能是已知的数倍,这挑战了我们对当前走私情况掌握程度的认知。

  5. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. He waited a week exactly to come back for Janie’s snub. It was early in the afternoon and she and Hezekiah were alone. She heard somebody humming like they were feeling for pitch and looked towards the door.

      He waited a week

    1. Whether distinct environmental perturbations engage overlapping or orthogonal sequence grammars within the disordered proteome remains an open question that requires systematic investigation.

      The collection of yeast strains you've built is a great resource for exploring how more environmental factors influence FRET behavior. It will be interesting to compare future datasets to what you've found here and start to characterize IDRs as sensitive to specific stresses vs. generally sensitive to environmental perturbations.

  6. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. They had him up for conversation every day the Lord sent. Most especial if Matt was there himself to listen. Sam and Lige and Walter were the ringleaders of the mule-talkers. The others threw in whatever they could chance upon, but it seemed as if Sam and Lige and Walter could hear and see more about that mule than the whole county put together. All they needed was to see Matt’s long spare shape coming down the street and by the time he got to the porch they were ready for him.

      They were the primary people who talked about Matt’s mule and seemed to know more about it than anyone else.

  7. drive.google.com drive.google.com
    1. One day the South will know that when these disinherited childrenof God sat down at lunch counters, they were in reality standing up for what is best in the Americandream and for the most sacred values in our Judaeo-Christian heritage, thereby bringing our nationback to those great wells of democracy which were dug deep by the founding fathers in theirformulation of the Constitution and the Declaration of Independence

      the point he's making is aw inspiring and even though our world isn't perfect we are a lot closer to that dream.

    2. It is true that the police have exercised a degree of discipline in handing the demonstrators. In thissense they have conducted themselves rather “nonviolently” in pubic. But for what purpose? Topreserve the evil system of segregation

      I'm not entirely sure but i think he's talking about police brutality towards black people which says a lot for the time and how its been handled now in the future.

    3. Where were their voices when the lips of Governor Barnett drippedwith words of interposition and nullification? Where were they when Governor Walleye gave ac la rio n call for defiance and hatred? Where were their voices of support when bruised and wearyNegro men and women decided to rise from the dark dungeons of complacency to the bright hills ofcreative protest

      The connections he's making and the point he's trying to make is really deep. he's asking why they say they are believer's but don't fallow gods word.

    4. Yes, I love the church. How could I do otherwise? l am in the ratherunique position of being the son, the grandson and the great-grandson of preachers.

      I relate to this personally being a preachers kid it seems like the church fallows you wherever you go.

    5. . compelled to carry the gospel of freedombeyond my own home town. Like Paul, I must constantly respond to the Macedonian call for aid.Moreover, I am cognizant of the interrelatedness of all communities and states. I cannot sit idly by inAtlanta and not be concerned about what happens in Birmingham. Injustice anywhere is a threat tojustice everywhere. We are caught in an inescapable network of mutuality, tied in a single garment ofdestiny. Whatever affects one directly, affects all indirectly. Never again can we afford to live with thenarrow, provincial “outside agitator” idea. Anyone who lives inside the United States can never beconsidered an outsider anywhere within its bounds.You deplore the demonstrations taking place In Birmingham. But your statement, I am sorry to say,fails to express a similar concern for the conditions that brought about the demonstrations. I am surethat none of you would want to rest content with the superficial kind of social analysis that dealsmerely with effects and does not grapple with underlying causes. It is unfortunate thatdemonstrations are taking place in Birmingham, but it is even more unfortunate that the city’s whitepower structure left the Negro community with no alternative.

      I thought that it was interesting how he connected it but i does make sense and as a Cristian I find the reason to be inspiring in a way.

    6. If I sought to answer all the criticisms that cross my desk, my secretaries would have little timefor anything other than such correspondence in the course of the day, and I would have no time forconstructive work.

      I definitely feel that sometimes when my day is packed it feels like I don't have time for anything else and it can feel extremely overwhelming.

    1. Another of Bartel’s vignettes shows that austerity was as much a dissolver of the Iron Curtain as mimetic desire. Hungary, which by 1988 had embarked on the Polish route of liberalization, made a headlong effort to reduce expenditure to placate the imf. This included a decision to postpone the overdue modernization of the border wall with Austria. In effect, the de facto dismantling of the Wall was undertaken in the service of cost-cutting.

      Remarkable

  8. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Joe said they must walk over the place and look around. They locked arms and strolled from end to end of the town. Joe noted the scant dozen of shame-faced houses scattered in the sand and palmetto roots and said, “God, they call this a town? Why, ’tain’t nothing but a raw place in de woods.”

      Sounded like they weren’t satisfied with what they saw and isn’t what they expected.

  9. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. But anyhow Janie went on inside to wait for love to begin. The new moon had been up and down three times before she got worried in mind.

      She felt more alone rather than wanting to find love.

    1. ‘remZazy a1am smoy Supyom TUL ‘PO autyoeur pur safpasu umo may Ang oj pey Aayy, quar aupppeur payfeo-os ‘sautypeur Tey} ued yey} 1amed ay} 103 yaam ev spud. AG peSreyp uayo 279M SIaxI0M

      With already lack of jobs open for women, small amount of pay, women would get deducted of their pay to pay for their work to go smoothly. And this money goes straight to the people in charge, the men.

    2. ‘sqof T8yy 0} UO poy 0} papaau Ajeyeradsap om sig Suryiom jo aSejueape jenxas aye) pure ‘woyonpord uMop Mojs so dn paads ‘any pue aI 0} 348 ayy. pey OuM ‘Usutatoy Jo Adrpur ayy 32 aram ayy yeyy punoy uswiom Suppo

      Shows men using their privelage to their advantage, well know the hiearchy

    1. We have always been here. We learned to respect and appreciate the land, water, plants and animals as living beings, and know them as our equals, as family; because without them there is no us. We were created here, and we shall remain.

      This is very deep and gives a highlight as to how much their culture means to them.

    1. ut fortunately there is quite sufficient to show that the arrangement of the drawbridge, portcullis, &c., bore very considerable resemblance to those of the western gateway of the inner ward at Caerphilly.

      SLAYYY shows how he used nearby buildings contemorary to the castle as a reference

    1. Figure 7. Shear environment and mechanical properties of edible protein‑based scaffolds

      The E-modulus measurements and texture profile analysis in Figure 7 are a nice addition to the paper — it's genuinely useful to know that soy scaffolds fall within a stiffness range reported to support MSC growth. A natural extension of this characterization would be to apply the same mechanical measurements to the pea and lentil scaffolds, which would help interpret the cell performance differences observed across scaffold types in Figure 9.

      At the moment it's not clear whether the superior attachment and biomass accumulation on soy scaffolds reflects something intrinsic to soy protein chemistry, or whether the three scaffold types are producing mechanically distinct structures under identical fabrication conditions. These are commercially sourced food-grade protein powders — pea, lentil, and soy — that likely differ in gelation behavior, water holding capacity, and network-forming properties during curing, meaning identical fabrication protocols could plausibly yield scaffolds with different stiffness, porosity, or surface roughness. If lentil scaffolds turn out to have a substantially different E-modulus or pore structure under these conditions, that would be a really informative finding — it would give the field a mechanistic handle on why material choice matters and when the soy preference might or might not generalize to other cell types or fabrication contexts.

      The paper also notes that a stiffness range of 35-60 kPa supports MSC culture, but this is currently only established for soy. Knowing whether pea and lentil fall within or outside this range would help readers understand whether the cell performance differences are likely to be mechanistically meaningful or more context-dependent. Given that the fabrication protocol and equipment are already in place, this feels like a characterization that would add a lot of interpretive value to an already interesting dataset.

    1. Co-culture temporal dynamics

      The time series is described as starting from "day of culture medium change," but the medium renewal process itself isn't described beyond "renewed every 4 to 5 weeks," leaving some important questions about how to interpret the temporal dynamics presented in Figure 4.

      What does medium renewal involve practically? If it involves centrifugation, the differential sedimentation properties of chain-forming Biddulphia versus small spindle-shaped L. merlionensis cells would substantially reshape the population ratio at day 0, and zoospores — being small and motile — would likely be lost in the supernatant. If it's a simple partial medium exchange with minimal disturbance, the population structure carries over largely intact. These two scenarios lead to very different interpretations of the day 4 zoospore observations. Similarly, since the ectoplasmic net is an extracellular structure, the degree of physical disturbance during renewal matters — gentle exchange leaves existing networks intact and ongoing, whereas vigorous pipetting or centrifugation could fragment networks and synchronize cells artificially, making the "establishment phase" at day 4 look like a natural infection initiation when it may actually reflect synchronized recovery from mechanical disruption.

      It's also not clear from the methods whether all experiments were performed on the original continuously passaged field isolate, or whether the co-culture was reconstituted using the separately maintained diatom isolate described later in the methods. If the former, both organisms have been co-passaged since 2020 and may have adapted to each other under lab conditions in ways that don't reflect natural infection dynamics. If the latter, at what ratio were the partners combined, and what was the physiological state of each at day 0? The methods also note that L. merlionensis was never successfully isolated in pure culture, which means there's no defined inoculum — but having a separately maintained naive diatom culture raises the question of whether a controlled infection experiment was attempted, which would have provided a cleaner starting point for the temporal framework and directly strengthened the parasitism interpretation in the conclusion.

    1. Launching in the UAE required a secure, low-latency solution that was auditable, compliant, and aligned with the requirements of local securities exchanges.

      It was about global expansion

      Scalability

    1. not only had the basic structure of the neoliberalization process already been laid out by Chilean economists in El Ladrillo, but its key features and overall framework were already under way by the appointment of Chicago Boy par excellence Sergio de Castro as senior adviser for the Ministry of Economics in September 14, 1973 (8). Leaving aside the instability generated by the military’s repressive violence and a dual state interregnum, the neoliberal ascension was also delayed, as noted, by conflicts within a junta split between a protectionist/corporatist and a neoliberal political economy.

      Junta split interesting

    1. Petitions / Jobs Profile

      It is possible the Govt. may deny the rarely deny the petitions for certain Job(s) and all work done by MTL such as inerviews, job offers and such will be all canceled. MTL will try to re-interview and re-hire those workers if possible but the Client and MTL stops working on those petitions/jobs.

      Petitions are only needed to be certified by the Govt only for non-domestic workers.

    2. Collect Pay Stub and Documents

      Generally once the Govt. has confirmed 'receipt' of the Group application, pay stubs are no longer needed. However, the Govt. may ask for additional pay stub or documentation for some people in the group. But the entire group is waiting for any individual(s) needed further reviews.

    3. For Out-of-Country Workers

      Out-of-Country : works by - 1. Working with a foreign agent (only for specific countries). The workers interface with the agent (and embassy) to process and get their VISA. 2. The Workers apply for and get their own VISA without MTL's involvement until they provide VISA into to MTL.

      Out of Country is simpler than In-Country because of the US govt. processing and documents requirements.

    4. If Foreign, MTL flags and changes travel and Visa statuses accordingly

      ** TRAVEL Part of the decisions are not made during this phase. This phese is mainly for documents and paper statuses and needs. Not traveling. Traveling come a later after getting hired.

      While most foreign candidates are handled by MTL and this list should help MTL gather a list and process them.

      However, if MTL marks specific candidates as Client is handling documents, they are excluded from MTL's processing list.

      Both Domestic and Foreign flows into -> whether documentation needs to be done/processed by MTL.

    5. Collect new Applications

      A full/completed profile must include resume, passport (out-of-country), visa applied for (requested) - this corresponds to MTL via assigned since it may not match what the applicant requested, current visa status (if any).

    6. checks applicant profile, makes changes, updates filing status

      Sometimes it can go the other directions as well as exceptions - form example: a person may have received a job offer without having a profile, so MTL will create the profile, and then fill out other data, check data for accuracy and completion and carry out relevant prior processes before starting the Document in Review phase.

    1. Identifying proteins and lipids enriched at Pex30 subdomains would shed light on mechanistic details of LD biogenesis.

      Great findings on the origins of LDs. Do you expect Pex30 levels to change depending on lipid availability/organismal stress? It would be interesting to see if it's upregulated in response to high PA levels

    2. Moreover, unlike the cells devoid of Pex30, cells expressing Pex30 TMD mutants exhibit a dominant negative effect on LD biogenesis as they show decreased LD formation at 5-hour timepoint

      Do you expect these mutations are strong enough to create a dominant negative effect in a wild-type Pex30 background?

    1. eLife Assessment

      This is a valuable study that investigates the role of the long non-coding RNA Dreg1 for the development, differentiation, or maintenance of group 2 ILC (ILC2). The authors generate Dreg1-/- mice and show solid evidence for a reduction of group 2 innate lymphoid cells (ILC2). However, the strength of evidence supporting and analysing the impact of Dreg1 on Gata3 expression, a transcription factor required for ILC2 cell fate decisions, remains incomplete. This study will be of interest to immunologists.

    2. Reviewer #1 (Public review):

      Summary:

      This study examines the role of the long non-coding RNA Dreg1 in regulating Gata3 expression and ILC2 development. Using Dreg1 deficient mice, the authors show a selective loss of ILC2s but not T or NK cells, suggesting a lineage-specific requirement for Dreg1. By integrating public chromatin and TF-binding datasets, they propose a Tcf1-Dreg1-Gata3 regulatory axis. The topic is relevant for understanding epigenetic regulation of ILC differentiation.

      Strengths:

      (1) Clear in vivo evidence for a lineage-specific role of Dreg1.

      (2) Comprehensive integration of genomic datasets.

      (3) Cross-species comparison linking mouse and human regulatory regions.

      Weaknesses:

      (1) Mechanistic conclusions remain correlative, relying on public data.

      (2) Lack of direct chromatin or transcriptional validation of Tcf1-mediated regulation.

      (3) Human enhancer function is not experimentally confirmed.

      (4) Insufficient methodological detail and limited mechanistic discussion.

      Comments on revisions:

      The authors have provided clear evidence that Dreg1 is necessary for ILC2 development, but their refusal to perform any mechanistic experiment remains a significant weakness. While their appeal to the 3Rs and the use of public datasets is noted, re-analyzing external data from heterogeneous sources cannot substitute for direct, internal validation of the Tcf1-Dreg1-Gata3 axis in their specific knockout model. This is particularly problematic because ILC2 progenitors, though rare, can be isolated from bone marrow, especially since assays like CUT&Tag and others are specifically designed for low cell numbers. By relying on public T-cell CRISPR screens to justify human ILC2 functions, the authors are substituting cross-cell-type correlation for definitive functional proof. Consequently, the manuscript currently describes a discovery of necessity without providing a verified molecular mechanism, which should be more explicitly reflected in the title and conclusions.

    3. Reviewer #2 (Public review):

      The authors investigate the role of the long non-coding RNA Dreg1 for the development, differentiation or maintenance of group 2 ILC (ILC2). Dreg1 is encoded close to the Gata3 locus, a transcription factor implicated in the differentiation of T cells and ILC, and in particular of type 2 immune cells (i.e., Th2 cells and ILC2). The center of the paper is the generation of a Dreg1-deficient mouse. The role of Dreg1 in ILC2 was documented by mixed bone marrow experiments. While Dreg1-/- mice did not show any profound ab T or gd T cell, ILC1, ILC3 and NK cell phenotypes, ILC2 frequencies were reduced in various organs tested (small intestine, lung, visceral adipose tissue). In the bone marrow, immature ILC2 or ILC2 progenitors were reduced whereas a common ILC progenitor was overrepresented suggesting a differentiation block. Using ATAC-seq, the authors find the promoter of Dreg1 is open in early lymphoid progenitors and the acquisition of chromatin accessibility downstream correlates with increased Dreg1 expression in ILC2 progenitors. Examining publicly available Tcf1 CUT&Run data, they find that Tcf1 was specifically bound to the accessible sites of the Dreg1 locus in early innate lymphoid progenitors. Finally, the syntenic region in the human genome contains two non-coding RNA genes with an expression pattern resembling mouse Dreg1.

      The topic of the manuscript is interesting. The article is focused on the first description of the Dreg1 knockout mouse and the specific effect of Dreg1 deficiency on ILC2 development.

      (1) The data of how Dreg1 contributes to the differentiation and or maintenance of ILC2 is not addressed at a very definitive level. Does Dreg1 affect Gata3 expression, mRNA stability or turnover in ILC2? Previous work of the authors indicated that knock-down of Dreg1 does not affect Gata3 expression (PMID: 32970351). The current data (Figure 2H) showed small differences in Gata3 expression in CHILP which were, however, not statistically significant. No differences were found in ILCP and ILC2P.

      (2) How Dreg1 exactly affects ILC2 differentiation remains unclear.

    4. Author response:

      The following is the authors’ response to the original reviews

      Public Reviews:

      Reviewer #1 (Public review):

      Summary:

      This study examines the role of the long non-coding RNA Dreg1 in regulating Gata3 expression and ILC2 development. Using Dreg1-deficient mice, the authors show a selective loss of ILC2s but not T or NK cells, suggesting a lineage-specific requirement for Dreg1. By integrating public chromatin and TF-binding datasets, they propose a Tcf1-Dreg1-Gata3 regulatory axis. The topic is relevant for understanding epigenetic regulation of ILC differentiation.

      Strengths:

      (1) Clear in vivo evidence for a lineage-specific role of Dreg1.

      (2) Comprehensive integration of genomic datasets.

      (3) Cross-species comparison linking mouse and human regulatory regions.

      Weaknesses:

      (1) Mechanistic conclusions remain correlative, relying on public data.

      We agree that the mechanistic conclusions are of our study are indeed correlative and we mention this in the discussion. The primary work of the study is the discovery of Dreg1's necessity for ILC2 development via the new knockout mouse model. Re-analysing good quality publicly available data on rare cell populations is an appropriate approach and in line with DORA guidelines for ethical research.

      (2) Lack of direct chromatin or transcriptional validation of Tcf1-mediated regulation.

      The most appropriate way to examine direct Tcf1 target genes in primary cells is to examine the association of Tcf1 binding with the changes that occur in Tcf1-bound genes after Tcf7 knockout. By analysing publicly available data on ILC progenitors we indeed did this. We revealed that Tcf1 bound to Dreg1 and that Dreg1 was not expressed when Tcf1 was knocked out in ILC progenitors. In addition we examined H3K27ac at the Dreg1 locus in the same ILC progenitors to demonstrate that Tcf1 appears to be important for decorating the Dreg1 gene with this histone modification. We believe that this analysis is sufficient to conclude that Tcf1 is required for the expression of Dreg1 in ILC progenitors.

      (3) Human enhancer function is not experimentally confirmed.

      We agree that the potential human enhancer of GATA3 we identified has not been confirmed in human ILC. However, a previous study showed clear evidence that this region has GATA3 enhancer activity in human T cells. Therefore, while not specific to ILC2s the region where the DREG1 homologues lie does indeed harbour enhancer activity.

      (4) Insufficient methodological detail and limited mechanistic discussion.

      We have now made the changes suggested by the reviewer to both the methods/figure legends and also the discussion.

      Reviewer #1 (Recommendations for the authors):

      The authors generated Dreg1-deficient mice and demonstrated that loss of this locus selectively reduces ILC2s but not T or NK cells, indicating a lineage-specific requirement for Dreg1 in ILC development. By analyzing publicly available chromatin accessibility and transcription factor-binding datasets, they link Dreg1 expression to Tcf1-dependent chromatin activation and extend their findings to human data by identifying a syntenic GATA3 enhancer that produces homologous Dreg lncRNAs in ILC2s. While the study addresses an interesting question, most of the mechanistic interpretations rely heavily on publicly available datasets rather than the authors' own functional evidence. To establish causality and reinforce the overall conclusions, I provide below some comments and suggestions for additional experiments and clarifications that would considerably strengthen the manuscript.

      (1) In Figure 3, the authors use public datasets to argue that Tcf1 regulates Dreg1 expression by modulating chromatin accessibility and H3K27ac at its locus. However, since these data are derived from heterogeneous external sources, the conclusions remain associative. To better support causality, the authors should generate matched datasets from their own sorted progenitor populations and perform CUT&Tag for Tcf1 and H3K27ac in wild-type and Tcf7 knockout progenitors to directly test whether Tcf1 binding establishes an active chromatin state at Dreg1. Also, complementing this with nascent RNA or pre-mRNA quantification would link chromatin activation to transcriptional output. These experiments are technically feasible in progenitors and would substantially strengthen the claim that Tcf1 directly drives Dreg1 activation during ILC development.

      We believe that utilising publicly available data sufficiently answers this question while also adhering to ethical considerations. The ILC populations used to produce the publicly available data were akin to those we examined in our analyses, and the data was of sufficient quality. Moreover, they enable us to access data from Tcf1-deficient mice. Redoing large-scale chromatin profiling on rare cell types would require hundreds of mice to achieve sufficient cell numbers. Repeating this solely for “originality” contradicts the 3Rs principles (replacement, reduction, refinement) if high quality public data already exists and we feel will require years of redundant work. In addition, we believe the fact that the data derive from heterogenous external sources, yet align well, only strengthen our conclusions. We have now added mention to our use of publicly available data in the discussion.

      (2) In Figure 4, the authors provide correlative evidence from public datasets suggesting that the human region syntenic to the murine Dreg1 locus acts as a distal enhancer of GATA3 and gives rise to two ILC2-specific lncRNAs. To substantiate this claim, the authors should perform CUT&Tag for H3K27ac in human ILC2s to confirm enhancer activation and use 3C or HiChIP to demonstrate physical interaction with the GATA3 promoter. These experiments should be doable by fusing pooled ILC2 samples and would provide more direct evidence that this region actively regulates GATA3 expression.

      Assessing the activity of a distal enhancer region on its target gene in primary human cells is extremely difficult, due to a number of technical and biological complications such as enhancer redundancy. This is why we chose to reanalyse an extensive enhancer deletion screen performed in human T cells by Chen et al., AJHG 2023. This analysis clearly showed deletion of the region we identified as harbouring Dreg1 homologues affected GATA3 expression, thus confirming its enhancer activity. While we agree with the reviewer that specific profiling of human ILC populations for H3K27ac and 3D genome architecture would provide further correlative evidence this will be a time-consuming and costly endevour with human material and ultimately the definitive proof in ILCs would require specific deletion of this region in ILC2s. We have mentioned this caveat in the discussion.

      (3) Several figure legends lack essential methodological details. Figure 1 should specify how NK and ILC populations were gated, including intermediate steps and markers used. The same applies to Supplementary Figure 1, and particularly to Supplementary Figure 2, where gating strategies for progenitors are shown but not explained. Figure 2 should also indicate that these analyses were performed in bone marrow. Clearer legends are crucial for interpreting and reproducing the data.

      We have made the suggested changes.

      (4) It is also unclear throughout the manuscript whether the authors performed any ATACseq experiments themselves or relied entirely on public datasets. This information should be stated explicitly in the main text and figure legends, not only in the Methods section. Similarly, the source of the ChIPseq or CUT&Run datasets should be clearly indicated alongside the relevant figures.

      We apologise for not making this clearer and have now clearly articulated if the data was public in the text.

      (5) As the authors themselves suggest, performing experiments that selectively suppress Dreg1 transcription using antisense oligonucleotides or CRISPR interference at the Dreg1 promoter would provide more valuable mechanistic insights. Conducting these experiments in their own system would allow them to determine whether Dreg1 functions through its RNA product or as a DNA enhancer element, thereby strengthening the causal link between Dreg1 activity and Gata3 regulation.

      We agree with the reviewer, however, this, in our opinion is beyond the scope of this manuscript. The strength of this manuscript lies in the findings from the novel Dreg1 knockout mouse strain. Future studies will focus on understanding how Dreg1 influences Gata3 expression.

      (6) The discussion would benefit from a clearer and more integrated explanation of how Dreg1 fits into the transcriptional network that controls ILC2 differentiation. The authors could elaborate on whether Dreg1 fine-tunes Gata3 expression or functions as part of a regulatory loop with Tcf1, and better explain how this mechanism might be conserved in humans. In addition, the authors should explicitly acknowledge the limitations of relying on publicly available datasets and emphasize the need for direct experimental validation to support their mechanistic interpretation.

      We have now made these suggested inclusions.

      Reviewer #2 (Public review):

      The authors investigate the role of the long non-coding RNA Dreg1 for the development, differentiation, or maintenance of group 2 ILC (ILC2). Dreg1 is encoded close to the Gata3 locus, a transcription factor implicated in the differentiation of T cells and ILC, and in particular of type 2 immune cells (i.e., Th2 cells and ILC2). The center of the paper is the generation of a Dreg1-deficient mouse. While Dreg1-/- mice did not show any profound ab T or gd T cell, ILC1, ILC3, and NK cell phenotypes, ILC2 frequencies were reduced in various organs tested (small intestine, lung, visceral adipose tissue). In the bone marrow, immature ILC2 or ILC2 progenitors were reduced, whereas a common ILC progenitor was overrepresented, suggesting a differentiation block. Using ATAC-seq, the authors find that the promoter of Dreg1 is open in early lymphoid progenitors, and the acquisition of chromatin accessibility downstream correlates with increased Dreg1 expression in ILC2 progenitors. Examining publicly available Tcf1 CUT&Run data, they find that Tcf1 was specifically bound to the accessible sites of the Dreg1 locus in early innate lymphoid progenitors. Finally, the syntenic region in the human genome contains two non-coding RNA genes with an expression pattern resembling mouse Dreg1.

      The topic of the manuscript is interesting. However, there are various limitations that are summarized below.

      (1) The authors generated a new mouse model. The strategy should be better described, including the genetic background of the initially microinjected material. How many generations was the targeted offspring backcrossed to C57BL/6J?

      The mice were backcrossed for at least 2 generations to C57BL/6. This information is now included in the methods section.

      (2) The data is obtained from mice in which the Dreg1 gene is deleted in all cells. A cell-intrinsic role of Dreg1 in ILC2 has not been demonstrated. It should be shown that Dreg1 is required in ILC2 and their progenitors.

      We now provide new mixed bone marrow irradiation chimera data that shows that the effect is intrinsic to Dreg1-deficient ILC2 cells (Figure 1F and Supplementary Figure 1E-G).

      (3) The data on how Dreg1 contributes to the differentiation and or maintenance of ILC2 is not addressed at a very definitive level. Does Dreg1 affect Gata3 expression, mRNA stability, or turnover in ILC2? Previous work of the authors indicated that knockdown of Dreg1 does not affect Gata3 expression (PMID: 32970351).

      We have indeed shown that Dreg1-deficient ILC2P have reduced levels of Gata3 (Figure 2H) however we have not determined the exact mechanisms by which Dreg1 controls ILC2 development.

      (4) How Dreg1 exactly affects ILC2 differentiation remains unclear.

      We agree with the reviewer, however, this article is focused on the first description of the Dreg1 knockout mice and the surprisingly specific effect on ILC2 development.

      Reviewer #2 (Recommendations for the authors):

      (1) Relating to point 2 of public review:

      It should be shown that Dreg1 is required in ILC2 and their progenitors. Mixed bone marrow chimeras would be an adequate strategy.

      We have now done this and clearly showed that the effect is intrinsic to Dreg1-deficient ILC2s.

      (2) Relating to point 3 of public review:

      Minimally, Gata3 expression should be analyzed in ILC2, ILC2P, and the ILC progenitors by qRT-PCR and antibody stain.

      We have indeed shown reduced Gata3 levels by antibody stain in Figure 2H.

      (3) Relating to point 4 of public review:

      The manuscript would benefit from additional data studying ILC2 differentiation in (competitive) adoptive transfer experiments or using in vitro differentiation assays.

      We have performed the mixed bone marrow chimera experiments which are testing the competitiveness of Dreg1-deficient bone barrow with control wildtype. In this case the WT ILC2s outcompeted the Dreg1-deficient ILC2s for the same niche.

    1. he natural next step is to combine different CREs in different combinations to explore potential synergistic effects and determine how far can transgene expression be pushed used these synthetic promoters.

      Another thing to consider: combining high-activity CREs with binding sites for heterologous transcriptional activators to create chimeric promoters that are strong, minimally disruptive, and chemically inducible.

      Lee et al. (2018) demonstrated ethanol-inducible expression in C. reinhardtii using the two-component AlcR-PalcA system from Aspergillus nidulans, but induction was modest (~1.74-fold) due largely to the weak transcriptional output of native PalcA in algae. Augmenting PalcA with the high-activity CREs from this study — particularly given the authors' finding that tandem CRE copies amplify output — could yield a robust, titratable system where gene expression is switched on simply by adding ethanol to the culture medium.

      Reference: Lee et al. (2018) Journal of Applied Phycology. https://doi.org/10.1007/s10811-018-1480-8

    1. Upon final publication, we will release a complete open build package designed to enable full replication and modification of the OLH platform. This package will include mechanical CAD files and 3D-printable part models, a detailed bill of materials with catalog numbers and supplier information, wiring diagrams and I/O mapping tables for all electrical and control components, step-by-step assembly and calibration documentation, and the full source code for hardware control, experiment scheduling, and data analysis. We are finalizing this documentation for public release and it is not yet posted in full due to the scope of the materials involved. For status updates or early access to in-progress documentation, contact emma.chory{at}duke.edu.

      Thank you for sharing the Open Liquid Handler, it's really inspiring to see a platform like this being built from scratch and implemented in the lab! Whenever the full repository is released, it would be great to see some more experiment details on the high throughput turbidostat. Specifically, the organisms being grown, the media types, plate types, how exactly the shaker was implemented, and OD data for your experiments. I look forward to learning more about the OLH when the build package is released!

  10. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 20 we see the story come back to where it started on the steps of her porch but we see that she is now at peace with herself that she has gained the confidence and courage to be alone she is satisfied with the life she has lived and is ready to settle down and live at peace with what adventure she has experienced.

  11. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 19 this shows the changing nature of humans when under extreme conditions like rabies. We see teacake slowly starts getting more aggressive and less active. We then get to the climax as he raises his gun at Janie ready to shoot and we feel the absolute shock after she shoots him it’s a roller coaster of emotions. The theme of this chapter shows love, tragedy, and the will to survive

    1. Now, how these algorithms precisely work is hard to know, because social media sites keep these algorithms secret, probably for multiple reasons: They don’t want another social media site copying their hard work in coming up with an algorithm They don’t want users to see the algorithm and then be able to complain about specific details They don’t want malicious users to see the algorithm and figure out how to best make their content go viral

      This point honestly shows me how capitalism overpowers morals and transparency. These companies may not want to show the algorithm because it would be revealed just how predatory it might be, though I think the biggest reason is to not let other companies use it. But because they are allowed to not reveal this algorithm, there is also no regulation on this. No regulation can have severe consequences on users of all ages (especially kids).

    1. Driven by both personal interest and political affiliation, Kast joined forces with other businessmen of the area and provided practical assistance to the military coup and its abducting/killing machine. As later trials would reveal, not only did Michael Kast provide local police and military units with trucks and drivers for arresting and disappearing left militants and radical workers and farmers, but he made sure to add workers from his own factory to the lists handed over. Moreover, as the unlikely survivor of a mass execution, Alejandro Bustos, would testify years later, Kast’s son (Christian Kast, sixteen at the time) was present during interrogations, torture, and executions.

      !

    1. This will inform our understanding of adaptation to extreme cold environments and the vulnerability of Antarctic species to their changing habitat.

      This is really beautiful work that is hypothesis-generating for both cell biology and climate change adaptation research, all in non-model organisms!

    2. when tested in H. antarcticus, SYTO12 strongly labelled only the previously identified perinuclear bodies

      If possible, it would be nice to see L. pholis SYTO12 staining here as well. Whether it’s more like H. antarcticus or mammalian cells, either way is interesting and informative!

    3. as perinuclear bodies are more prominent in H. antarcticus than L. pholis, these findings indicate cellular ‘digestion’ is less efficient in H. antarcticus.

      I'm curious about the species-specific differences in pH between these perinuclear bodies, as both nuclear proximity and temperature impact lysosomal pH in mammalian cells. If anything, I would expect H. antarcticus lysosomes and lysosome-related organelles to be more acidic. Lots of interesting follow-up directions here!

  12. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 18 we see a very pivotal chapter here as they compare the overwhelming power of the hurricane the rath and fury it possesses compared to the little power of humans. This chapter really brings together the title and the story as it shows that Janie can barely control her life very little power and freedom but the power of the storm the overwhelming complete power of Tod is over her and this demonstrates the reason why “ there eyes at on God” it brings a complete circle to the story.

  13. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 17 we see the pressure teacake is under and the jealousy we see him hit Janie as others admire him for it. We also see the jealousy he has as Mrs turner pushes Jaime towards her brother.

  14. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 16 here we see though the community almost looked perfect it is no where near that. In the under belly it is full of racism and division. People like Mrs turner trying to put herself or her brother above people like teacake cause they have lighter skin following the social norm of racism.

  15. pressbooks.library.torontomu.ca pressbooks.library.torontomu.ca
    1. Chapter 15 we see the complicatedness of a real love relationship. We see Janie’s jealousy erupt from her overwhelming love for teacake and we see her question him with urgency to know if he stills loves him. I think this feeds off of the gossip and rumors that she almost believed