I believe that, if the company continued disposing of their waste unsafely, they would not be conducting their business with respect or integrity. The potential danger to health outweighs the risk of creating less jobs for locals

An ethical code is important for technical writing because it ensures honesty and clarity. By practicing good ethics, writers build trust with their audience.

This represents a dramatic shift from the first part of the poem. Here, the speaker is stuck in a war zone. The life they once had of hearing birds chirping in their backyard no longer exists; instead, all they hear is the buzzing of the drones, the screams, and the rockets.

The speaker seems to be remembering their childhood. They are reminiscing a memory of their mother who has passed. Hearing their mother's voice grounds them.

I really like this section and think the idea of externalizing your ideas is super useful. I've noticed that when I sketch something out or explain it to someone else, I can spot the flaws way more easily than if I just keep it in my head. The Leonardo da Vinci example makes a lot of sense too as it shows even really smart people need a way to organize their thoughts. It's making me realize I should probably write down or sketch my ideas more often instead of trying to remember everything.

I really connect with this sentence because it reframes creativity as persistence rather than perfection. Too often, I feel pressure to come up with something “brilliant” on the first try, which only makes me freeze. Pauling’s idea reminds me that even bad ideas are valuable because they push me closer to better ones. It’s a freeing perspective: creativity isn’t about being right the first time, but about showing up again and again.

I often find that the questions that are worth solving are the most complex to answer, but the problems that I'm most capable of solving are often very niche and specific usage scenarios (e.g. filtering emails into 3 separate buckets). So I think a big part of being creative is also knowing where to set your scopes & boundaries. Often times it's more effective to solve part of the problem than trying to tackle the whole (e.g. Tesla solved the entire EV infrastructure from production to charging & maintenance, but not all EV companies need to do that in order to be considered an effective solution).

This is harder than it sounds because people often fear critiques. A great way I've found that helps is to leverage AI to critique your ideas. There are caveats to this though: use the AI too much and it'll start brainstorming for you, plus a lot of the suggestions it makes could be irrelevant/generic. From my practice, I found it the most helpful in inspiring me to think about the aspects that I missed.

I agree with this statement, as I feel like I experience this in my own personal life. I was raised in a way that prioritized family, which included the ability to support them. This meant that I needed a high-paying job, which is typically unattainable with a career that's more creative based. I feel like I had to suppress my creativity to pursue a career that was more logical. I agree that this is probably the case for many other students as well.

I really like how this section connects creativity to the act of expressing ideas instead of just thinking about them. I agree that externalizing thoughts makes it way easier to catch flaws. Whenever I try to hold everything in my head, I lose track of details or overestimate the quality of my idea. It’s also kind of motivating to think that even someone like da Vinci needed to write everything down to make sense of it.

I like this part because it reminds me that everyone is creative in their own way even if they don’t call themselves “designers.” I agree that students probably have the best ideas for improving lectures since we experience the problems firsthand. It’s validating to think that good design can start from simple reflections instead of some big expert process.

I feel that the speaker is regretting not chasing her dreams, and now she realizes how much time has passed.

The speaker calls her dreams "little", but we know that these dreams aren't insignificant as she holds these dreams close to her heart.

Haha, yes! this quote "publish or perish" really captures the pressure in academic life. It's still very real today. Researchers are often expected to constantly publish their work to stay relevant, get funding, and keep their jobs. We can definitely see this in our contemporary academic world, where success is often measured more by output than by impact or quality.

I thought it was interesting to read here how knowledge is constructed through children's everyday experiences with people and objects, as they actively try to understand the world and move through different stages of thinking.

Depending on the type of bulk you want, clean bulking can help increase muscle mass as well as lean body mass. This can prevent frailty.

Making note of a gender difference, which **may or may not ** open up my research to better serve the audience on my findings.

The Mediterranean diet has some great meals which match up well clean bulking.

A clean bulk can decrease frailty by as much as 74%.

A prevention method to combat frailty is to eat three balanced meals per day. This coincides with the ideas of clean bulking: eating at least three balanced meals a day.

Frailty = Bad Increase in illness, hospital stays, disability, infection, surgery issues, living in nursing home, etc.

On average, 10 percent of people above the age of 65 are frail. This percent only rises with age.

the rhetor in this is vincent acovino where as the rhetorical situation is that the rhetor is saying that this said company is making games through soulless machines which yes sparks debate because yes, AI is a long debated topic. this overall audience that the rhetor is waiting to is people who want to make video games and use generative AI. and, the context is that some people are sparking a debate because yes this is a debatable topic I agree on that. The time is now because yes now people are starting to build more AI machines. I don't think there is any genre or medium to this

Likely missed tenure

Synthesis: presenting the information from your perspective/argument

Challenging and questioning ideas presented to you can not only help you learn all sides of the story, but to create your own opinions based on questions and facts relevant to you, and it helps you learn to not take everything at face value.

Examining data from a unbiased viewpoint makes sure you are taking in the facts and only the facts. Altering data with personal opinions makes it lose lots of its credibility. Maintaining an unbiased stance gets you the most out of the data and information you have.

Someone who indicates that they use both "commonplace book" and "zettelkasten" systems. I'm curious how they differentiate the two, particularly because they seem to both be done on index cards.

Sort of sounds like zettles are her own ideas vs. commonplace for the ideas of others.

At 4:40 she seems to use linear numbering on her zettels and not Luhmann-artig numbering.

No. 113 New Feature! The ZIS: Zettelkasten Information Superhighway • Buttondown<br /> by [[Bob Doto]]<br /> accessed on 2025-10-06T16:40:32

This ties in with UX design because there is always intent in how to present interfaces. For example, arranging something in a specific way to help the interface flow better or to be mindful of the company's identity or the user's skill level.

Rhetoric is something that exists all around us. This means that it ties in to the structure of our lives and of society, down to the foundations. In the digital age where we communicate through application, it is important to adhere to the six characteristics of rhetorical discourse to provide useful precepts and present ideas/feeling to users in a better way

How we behave is a form of communication, as our actions can be interpreted by how we are acting in a certain moment.

This method in which this story is told almost reads like a news story. It makes the narrative sound transactional and dramatic, like you would see on a medical drama.

This sentence alone sends shivers down my spine. The concept of cutting into someone's head is enough to freak a reader out, but words like "snap" and "spatters" make it even more uncomfortable.

I love the use of onomatopoeia in this tense description; it really adds depth for all senses of imagination.

I'm watching The Pitt right now, which is a medical drama on HBO Max, and they format the show where each episode is an hour of a 15 hour shift. I see that formatting similarity in this essay, where time is mentioned often to create a sense of urgency. I think, especially in hospital settings, the fast-paced nature and feeling of running out of time is heightened by deliberately including that detail to audiences. It also highlights the fact that it is so early in the morning and so much action is already happening.

It's interesting how they humanized the clots the way they did. But with the sandwich it showed how much he had that she would get better.

The sound makes it easier for my brain to paint the picture.

I love the use of time stamps because it adds a sense of urgency and suspense to the story.

The use of dialogue adds more of a perspective and severity to the story.

Speaks a lot to her character and how strong a woman she was.

It's a creative way of saying she was suffering from a sort of brain tumor or sort of cancer.

I would want students who actively take notes because they are listening to the professor and writing down what’s important

I would definitely recommend getting in the right head space and limiting distraction! Some things to help would to be to go into a quiet room, without your phone, and breathe

Getting in the right head space, gathering you notes/supplies, review any needed material

These ideas are good ones if done right but, like everything there are factors which people are not going to expect until it happens.

There are these undertones that lie in the school system and it stems from their developing origins.

Students always have to will themselves to learn, the computers will not do it for them.

Technology is the inevitable future of everyone you lead the charge or you fall behind in more ways than one.

Development needs are always different depending on the country as the priorities change from country to country.

Internet culture really has had an influence on everything from the pros to the cons.

Technology in certain areas doesn't always help and in some cases it keeps students from learning as they solely rely on it.

Some institutions have been quick to roll out new tools as a way to better educate as they say but, some cases has it working in the opposite direction due to oversight of whether it would even help.

Media culture is still evolving but. where it is going is one some fear as it is shaped by certain people who should not be molding it.

More things are sold on the net than they are sold in person a feat many did not think possible.

The information world can bridge many countries but it is also very treacherous due to certain people using it.

Large strides in tech have been achieved but, some say it has stalled with fewer advancements coming out for the public.

When proposing new ideas it will always be a struggle when norms are already established.

The amount of forces in reality can be overwhelming at times but, a factor to deal with like anything in life.

They are almost the mandatory requirement for even certain things to access in the school system.

And whose opinion is this? Who is sexualizing them? Why are they sexualizing them?

Make sure to ask specific questions and find helpful answers

NOT A TOPIC, but the question you base the rest of your work on.

I believe it would be beneficial for discourse around AI to move away from terms like "hallucinations" because it forces the designers of these LLMs to have to address the actual problems with their product instead of bullshitting to consumers about the nature of AI.

If AI is a bullshit machine, does that make the system, its designers, or the user the bullshitter?

I find it interesting that people would call AI or LLMs liars. Based on this definition a person would have to concede that an LLM knew that the information it had was false but still presented it as true anyways. Giving the LLM a higher level of intelligence and agency then it otherwise has.

Lies acknowledge truth and aims to obscure it. Whereas bullshit throws out the truth altogether.

This framing challenges how AI misrepresentation is talked about in public discourse. The shift from saying AI has “hallucination” to calling it “bullshit” is significant because it affects how responsibility and agency are attributed to AI.

nice slide into suspense.

to make use of the inout function be sure to make a variable and assigned do = input ("What is your name?\n"0 this will bring the qurstion to come onto the users screen and then wait for a response

You can pass a string into the input function that would show up on theusers screen

thinking about how many cultures across the world once had very progressive views on, for instance, gender and sexuality, but colonization made its mark on the people's views to the point that those same nations are now extremely socially conservative. Philippines

ive heard it stated that the genocide in palestine is the first time in history that such an event has been broadcasted to the entire world in such an intimate manner thanks to social media. however, due to the way that algorithms work, everyone sees such a personalized version of content, news and information that we still have a fractured and divided base of people. those who are already predisposed to being anti-war are seeing and engaging with this never-ending stream of info, while others living right next to them might not hear of it at all.

ok im not gonna say that chimps arent hugely connected to humans because they are, and it is useful to observe their structures to compare them to humans in an attempt to understand human nature. THAT BEING SAID. bonobos are equally related to humans as chimps are, and their structures are much different. none of that patriarchal alpha male aggression is present in bonobo social structure. it's a matriarchal society that prioritizes gentleness in males and largely uses sex to resolve conflicts and bond socially (contrasting with chimps use of hunting and aggression to resolve conflicts).

im putting that out there because whenever i see chimps being pointed to as The Closest Relative To Humans, i want to challenge the notion that aggressive male behavior is the only example we can point to when discussing evolutionary human nature. thats all, soapbox over

My ideal learning situation would be different from most. I would prefer to learn by being around language all the time as well as taking classes.

Cognitive learning is like actively choosing to learn because you are interested.

Understanding ones different strategies for studying is very important. When in a study group, everyone will probably share a way of studying that works best for them. This is important to not disregard ones strategy, because for the certain idea of learning a new language, will optimize your knowledge on how you usually study. This way may be the same as your other study methods, or different. Learning a language is very different compared to learning math for instant.

People will learn more effectively in a situation they need to than a situation they have too.

Discrimination is one of the hardest things to get past as it is rooted in how people are raised or where and how they grew up some don't even know they are doing it.

The common language around those learning will always be the one that is learned more effectively because one is not trying they are actively doing.

Learning is done everywhere not just the school system and by the teachers in them.

Education is always compared with everyone and one that is in a way a contest of strength in education.

Education is that one thing everyone believes is a door way to greater opportunities and one that is deceiving in some cases.

Equal schooling is impossible to achieve due to to many factors that in the end can never be met all together.

That is why funds must be used wisely so that the students can be properly educated in their fields and not specifically in other fields specific to others.

It requires funds for education and the changing economies and those in charge will make it harder than when the parents were in school.

Unfortunate as the good s that cause the damage are so cheap the make and corporations choose that over healthy options.

Everything is a learning experience and everyday something new can be learned it should not be only the schools who educate everyone.

Appearances can always be deceiving the failures of schools can always be remedied for those who strive to persevere in the system.

Equality in school systems can be hard to achieve as it is connected to the country and how things are and will be.

It is a good mindset to strive for success even if your not there yet, you can eventually reach closer to it in the long run.

When one see's the hardships it means its even more worse that it looks.

When it comes to school funds you always have faith it goes to those who need it but, it goes more to services than to those who need it.

This article highlights Facebook's buy or bury technique in order to maintain its monopoly on other apps. Facebook failed to innovate when going mobile, which forced its hand to resort to this method. Facebook either bought out platforms or restricted access, which imposed their monopoly and stifled competition. This method caused the FTC to create a claim against facebook

I agree that a communication focused class seems to be better than just writing things down, it makes you think critically.

I can agree with this in the sense that for me the best way for learning is writing things down over and over again. With this, being able to retake quizzes and trying to get the correct answer a second time, and revealing it, help me actually learn more than just getting a simple test score back. Being able to show your mistakes and correct answers should be an important part of learning, not just one chance all about your grade.

Why is it rare to be surprised by the written evaluation?

accrediting bodies certify the operation of organizations as a whole. While professional associations and licensing bodies certify the work of individuals

Keep in mind the type of volunteers that organizations are getting.

Would an example of a noncash revune also be the space that the organization is consuming?

Agencies with the greater number of funding sources the more complex the agency's operations become whle agencies with a single funding source risk becoming rigid and overspecialized.

Emailing has shown to withstand the test of time despite being invented in the 1960s and 1970s. Email is a core platform for communications by businesses, people, etc. I found the date of origination of the email to be the biggest shocker.

I believe these different tactics are very important to understand. For me, I feel like I learned the kinesthetic tactic when I was younger, and used that a lot more. Then as I got older, for example, rewriting things over and over was the best and most efficient way for me to learn. Nowadays especially in college with so much diversity in learning opportunities I am using a mix of both. It depends on the subject matter of what style works best for me.

Within this exercise I didn't surprise myself much. I got most of them right first try. For me when I was looking at the sentences it was pretty easy to tell what one had the proper usage of grammar. I read the sentences out loud, and the one that was grammatically correct just sounded right. There were some that also sounded okay and right, but I could just tell very easily right of the back what one was the first grammatically correct one.

Setting up dichotomy between related fields of study that could be reconciled by cross-field dialogue

(1945-present) British translation theorist and scholar of comparative literature (according to Wikipedia).

Author of Translation Studies (1980) and Comparative Literature (1993), major publications in the field of literary criticism.

This source talks about bots on X, formerly known as twitter. Specifically it talks about bots activity during the Super Bowl in 2024. Elon Musk claimed that there had been billions of views and activity during Super Bowl Sunday, but it was uncovered that more than 70% of this and been bots. What interests me the most is advertising revenue, the more views a social media site like X gets, the more they can charge advertisers. So what happens if those views are by bots and they would never actually buy the thing being advertised. It takes away the platforms credibility completely and it makes me wonder what kind of consequences there are for it.

The Wikipedia article " All models are wrong" explores the famous saying of George Box, " All models are wrong but some are useful." This is said because it emphasizes that every model is a simplification of reality and therefore cannot be completely accurate. However, they still prove to be of value to us as they help us understand things about complex systems

I notice lots of people responded to this source, because it's really telling and ironic how Elon proclaimed that the bots on Twitter were a big problem discouraging him from purchasing the platform, yet we're seeing reports that his acquisition has only increased bot usage on the platform. And even though I feel that this data is likely accurate, is there a chance that, in line with our discussion of data being a simplification of reality, this bot traffic may be overestimated? Or even underestimated? It's something to think about.

Describes the kind of computer graphics called vector graphics. Basically vector graphics are special because they are shapes constructed on a cartesian plain as opposed to a raster model where pixels are assigned a color value and then a ton of those squares make up the image. Some use cases include graphic design, GIS, and CAD.

About 75.85% of Twitter traffic during the 2024 super bowl was fake bots accounts according to a cyber security firm. At the time, even most Twitter users could tell the increase in the number of unauthentic content, and this Superbowl situation shows how it's likely not all false

I find it incredibly funny that up to 76% of all traffic to advertisers on X during the 2024 Superbowl was fake especially because of Elon's claims that Twitter was heavily botted just a few years prior. X in my experience has been one of the most heavily botted platforms, so this data alligns with my experience aswell.

By reading this Wikipedia, I have a better understanding of Twitter. I think the overall history of Twitter is interesting, and Twitter is a social media platform with a huge global user base, making it a very influential platform.

Kareem Carr’s tweet reflects how discussions about math and data interpretation can become socially and politically charged, especially in online spaces. His experience, which gained attention from major outlets like Popular Mechanics and The New York Times, highlights how even technical subjects like mathematics are influenced by cultural and ideological debates. This connects to the chapter’s themes about the social dimensions of technology and knowledge, showing that data and algorithms are never entirely objective or separate from human values.

This is an interesting dilemma that I’ve noticed on example such as standardized testing or websites. The most noticeable solution is to place the first letters of your name and let the other identifying features such as your social security number or address let people know your full name. Though, it still is unfair that people have to deal with this since it could make people feel like their ancestors is weighing them down.

Use usage of 0 in mathematics, specifically the "0th derivative" of a function is interesting, as it represents the unaltered state of the function, as no change has been done to it yet. This say of thinking can also be uses on other elements that change quite often, with the number not representing the order of change, but the degree of change.

I’m glad to see Design Justice: Community-Led Practices to Build the Worlds We Need by Sasha Costanza-Chock in the bibliography. This work deeply connects design choices with power, oppression, and equity. It would be interesting to more explicitly surface how “data simplification” (in 4.2) is a design choice that can perpetuate injustice.

The title of this article caught my attention. I thought her example of 2 cups of vinegar and 2 cups of baking soda making 5 cups of foam was interesting. The article also shows how truth is not universal. Facts could be subjective to different people and different loopholes.

In this post, the person is asking what should they do if there last name is too long, and in the comment section, people are either helping or sharing same experience. I found this interesting because as a person with a short last name, I never thought it would be a problem for people. And why would the website designer put a limit on how long your last name should be; I don't quite understand the purpose of this limit and honestly I'm curious about why.

This Wikipedia page on Twitter provided me with a comprehensive overview of the platform's evolution from its founding to its current state, including its functional changes, shifts in user scale, and its impact in social and political spheres. After reading it, I realized that social media is not merely a tool for communication; it also plays a significant role in shaping public opinion, disseminating information, and even influencing policy decisions. This deepened my understanding of the course discussions on the power and responsibilities of social platforms.

This chapter looks at the numbers we use for counting and measuring. It introduces the definition of "imaginary numbers" and "complex number" which were invented to solve problems that were previously impossible. The chapter shows how all different types of numbers work together and what properties they have.

I think this one reminds me that data or technology can hurt people not only through bad system design, but also through how people use platforms. In real life, we know we should respect others, but on social media, people often forget this. They just argue to protect their opinion, even if their words really hurt others. For example, on Chinese platforms, I saw many NBA fanslike LeBron or Kobe fans argue about “who is better.” But these debates often become personal attacks, even cursing each other’s family. I think this is a kind of online data violence too, because people ignore the emotional impact of their words.

When I was reading Hoffmann's article, I was particularly impressed. She pointed out that "bad engineering decisions can lead to data violence" - this made me re-examine the viewpoint in Chapter 4 about "all data being a simplified representation of reality". When we are modeling or designing data systems, every seemingly technical choice can actually exclude or misunderstand the experiences of certain groups. This made me think of a table I saw earlier, where the gender options were only "male/female", without an option for "non-binary" - this seemingly was just a data constraint, but in fact it was a form of harm. Hoffmann's argument reminded me that ethics should not be considered after the system is completed, but should start from the very first step of data design.

I love that we are discussing fanfiction in relation to literature and communication. Often, people diminish fanfiction's legitimacy because of the demographics it is written by and the fact that it is often beginner writers (so it is less 'sophisticated') but it has value in our culture and many others. It displays a lot of the development of language and communication. Sorry, I'm discussing this in another class so it just.. in my head rn.

Can I keep the Pet I found? Legal requirements Take out everything after must complete hold period. Pretty sure on this but will need team to check.

I wonder, why does this happen? Is it some kind of attempt at shortcut or automation to make the developing process smoother for the developers, at the cost of how user friendly the interface ends up being? Essentially I feel like these results indicate that developers are using cost-cutting practices to make development finish quicker. This ultimately benefits the large majority of people who fall into easy categories, but is to the detriment of people who are outliers.

I think the choice of the desired range is essential when we create a dataset. Choosing targeted groups effectively can help us get a clear dataset and complete our tasks with higher efficiency.

This quote shows that design choices in social media are not neutral—they determine who benefits from the platform. When designers prioritize efficiency or profit over accessibility, marginalized groups often receive a worse experience. This reveals how social media systems frequently lack inclusivity, as their data and design decisions favor certain users while overlooking others.

This idea really resonates because it shows how technology designs force people to fit into boxes. For example, a freelance worker or gig worker using a professional networking site will be constantly prompted to list a single, current "Position" and "Company." This design assumes traditional full-time employment for every user, forcing them to choose one gig from their portfolio. And list themselves in a way that actually not accurately represent their flexible career.

This point I can relate to as well. I personally am a dual citizen and when asked what country I am from I have trouble answering. I was born in Germany, but I only lived there for a year before moving to the United States. So I ask myself, am I German or am I American? I've spent my entire life growing up in the United States and have a US citizenship, which just further convinces me that I am more American than I am German. Despite this, I still think that my German heritage is very strong as I speak, read, and write in German. However this still does not make me think that i am more german than American

When we answer simple questions such as “Where are you from” or “How many people are there in your family” in our daily lives, in fact, complex social identities, cultural backgrounds and statistical standards are often involved. when people ask me where I'm from, I often have to explain whether it's my place of birth, my nationality, or where I've lived for a long time. Data simplification helps us process information quickly, but it can also overlook the unique circumstances of individuals.

These examples of unclear examples are hard to understand and therefore answer. My parents immigrated from China to the US when they were extremely young which makes this question hard to decipher. A better way to ask this is where is your current residence which might still be confusing if you were on vacation but it should make enough sense for people to answer correctly.

While I think simplification in some case is not benefiting some individuals, however I do think for the most of time it is benefiting the majority. Simplification benefits efficiency, and most of the time, the answer to the question is very subjective. In the example that's giving here, some people will think that they are count as living in the house and some does not. Unless it is a government website which the truth matter, simplification does increase the efficiency.

A lot of large accounts on social media are ran by bots, or either human bots, as they have a systematic way of reposting something after a period of time. Often times, popular tweets are retweeted as new in order to farm likes and interactions. With the blue check Elon added allowed revenue to be created through tweets, further incentivizing such practices.

I really appreciated how it highlights that any dataset is already a selection — a simplification— and that those choices shape the story the data can tell. And I wonder: in practical terms, how might we audit or compare different simplification choices across platforms to surface which versions produce more (or less) ethical distortions?

For relationship status I would make a user choose from a list of options being taken, complicated, single, and single (not seeking). This would include not only people who's relationship status is complicated meaning they are not in a committed relationship but have some kind of relationship that is extra-platonic that they want to inform their followers about. This would also account for folks who either do not desire non-platonic relationships, are in a transitionary period, or for whatever reason do not want to be approached or perceived non platonically. I guess something this system does not account for is polyamorous and or open relationships, as storing data in the list format would be quite limiting because relationships like that are hard to pin down. The list of options would have to be miles long to account for everyone's situations.

I think that age would be relatively simple to store. I would constrain it to whole numbers from 1 to 110. I think its fair to put the cutoff at 110, there no-one that is going to be signing up for a social media that is older than 110. Applying this constraint to the response makes it so that there are no false submissions. For something like address the user would be given an open string to type what they want. There could also be the option of typing street address but giving a set of options for country, city, and zip code.

This paragraph dicsusses how low income neighboorhoods feel the effects of climate change more than wealthy neighboorhoods. Especially when food shortage is present this can also lead to aggression due to malutrition of important minerals and vitamins

This paragraph talks about how the conditions associated with increased heat are also associated with an increase in crime, such as more peeple beimg outside.

Relation between heat and rates of skin cancer

This means that due to the urban island heat effects those in more densly populated urban areas, which the usually the areas where minorities live are disproportionately effected by these effects

Already known for intense temperature change

Purpose of Paper

what is money? Originary thinking predominates thinking monetary pluralism in the early modern -- developmentalist thinking

What does it mean "on top"?

I have not heard of this before, but I think it's useful in the context of talking about resource intensive generative AI versus other forms of AI which are further down the ladder.

Fair. ChatGPT is much cheaper to start using than buying a new computer, and lightweight use isn't really consequential

This seems to imply that we're not really seeing much revenue yet because it's the applications that realise the value?

This paragraph introduces the importance of True and False values. It helps us to build a basic understanding of programming. I took a course using R Studio, and I found out that if I made some mistakes in my code, the results will be False.

An example of pernicious ignorance in social media interaction would be the lack of an option to pick pronouns for yourself on websites. For trans people this makes interacting a lot more welcoming as it keeps people from being misgendered.

People will ignore the feelings of the "photographed" and only consider the interests of the "audience" and "publisher". For instance, when people doing public events, blogger are more concerned about how many likes the photos they send out can get, but they ignore the privacy and consent of the people in the photos.

I think when doing data collection or research, it's quite hard to consider everyone's feelings or get full data. Because of that, I think researchers very easily cause bias, since people usually believe what they already think is right. For example, in the Marvel movie Shang-Chi, the writers thought they were showing respect to Chinese culture. But many Chinese audience felt it had a lot of stereotypes. This shows different people can see the same "data" in very different ways. I think research is also like if you only use one point of view, the result may not be correct for other people.

https://social.coop/@flancian/115328548391144963

I think this critique of human-centered design is very valid. While HCD has helped make products and services more usable, it sometimes treats people as isolated users rather than participants in a much larger ecosystem. However, no design can fully involve 100% of the people, so it’s understandable that designers focus on specific groups or needs. I think the challenge is finding a balance between addressing individual users and considering the broader systems that shape their experiences. This perspective makes me think more critically about how design decisions can unintentionally impact other parts of the system, even when the intention is to help people.

The DC Hokie One Stop Website link does not work.

Point of view - a mix of second person yet the girl’s first person memory. The dominant voice is addressing her daughter with “you” statements. The “you” statements are also filtered through the daughter’s perspective as she remembers her mother’s teachings. The mother’s voice is primary, but it’s the girl’s internal experience of these instructions that frames whose point of view it is.

Using a second-person perspective, this sentence reminds me of a mother who is teaching their daughter societal standards that encourages sexism with the fact that women can't do what men can do.

I am wondering what impact a variable like "time-spent together/time spent knowing each other" might have on MRE.

Data doesn’t capture nuance and context. It often chooses the simplest easiest to understand. This can be good but also harmful too. It creates unrealistic standards for many different things.

This has already happened (agree). I personally have moderately replaced the use of google by the use of AI as I have found AI to be far more efficient as a search engine. I understand the fundamentals of how an AI search engine works and so I typically will not critically think about the information being received and therefore I forget to question the logic presented. This of course is not good and when done frequently could replace your critical thinking capabilities.

This is certainty an interesting and comparable situation. If I am within my region of the state, I will try to avoid using GPS routes and go off of picture-based memory. But with the distant locations where GPS is needed, I will tend to easily forget the routes I had taken and will need to use GPS on the returning drive. This was a great example to use for how tech can moderately replace our ability to use navigation tactics through memory. Similar to how AI can overtime replace our ability to do once needed day to day tasks.

I didn't realize how much information is collected from these apps beyond the basic questions apps ask when you sign up. I think it could be useful in some cases like when you want to document more with less effort. However I also feel like as a result we have way less privacy than many people assume.

He’s using fear to make his points harder to forget

There’s a clear position of superiority towards the middle class from the writer. He really doesn’t think anything good from them

He repeats this word to help his argumentation and therefore be more effective on the reader’s mind

This is something I kind of want to learn about, and that is how exactly this compression algorithm works to get this kind of output. The ways images are compressed are always very consistent in how they appear, and very consistent in how bad they are, especially how they often create these sort of yellowish/greenish tones where there weren't before, or at least in the same way (see the yellowish area below the lips on this image).

This explanation of how sound is represented reminds me of my own experience using recording software. Previously, I only knew that recording produced an audio file, without delving into how these “sounds” are actually composed of a series of numbers. Understanding that electrical current variations are converted into a string of digits helps me grasp why sound quality changes with different sampling rates and bit depths. This realization makes me aware that the digitization process behind sound isn't merely technical—it's the foundation of our everyday auditory experience.

Weaving the IndyWeb

self

♖ HyperPost OrigoWeb folder

getting ready to be ready to launch the IndyWeb

The Permanent, Evergreen, Co-evolving

commons based,Peer produced Autonomous, Person-first Virtual Cloud Services

Control yOur Information flows, Control yOur Destiny

of Autonomous

Inter- - Planetary - Personal - Plays

over the Web

They showed that cfRNA data included transcriptional signatures which did not match type-specific transcriptional signatures from hematopoietic cells but did match signatures from intestine, liver, lungs, pancreas, heart, & kidney cells.

Then, they quantified each marker transcript in the public cfRNA data from healthy patients, and they used them to deconvolve how many of each cell type were present in each sample the cfRNA data.

Then, they took public scRNA-seq data (Tabula Sapiens) from cells with labeled types and used SVM to identify the smallest setof transcripts in those samples which discriminated cells of each type from each other.

Basically, they took public cfRNA data from healthy patients and identified transcripts. Then they showed that the transcripts they detected included marker transcripts for certain cell types.

"Στην κοσμοθεωρία ενός αποικιοκρατούμενου λαού, υπάρχει μια ακαθαρσία ή ένα ελάττωμα που απαγορεύει οποιαδήποτε οντολογική εξήγηση." Το apartheid δεν διακρίνει, εισάγει διακρίσεις. [Derrida.1983. Η τελευταία λέξη του ρατσισμού. (1992, σ.11)]

Η μεταφυσική των Μαύρων ... τα έθιμά τους καταργήθηκαν επειδή ήταν σε αντίθεση με έναν νέο πολιτισμό που επέβαλε τον δικό του. Ο Derrida σχετικά με την εννοιολόγηση του αρχείου εξηγεί πως «δεν υπάρχει πολιτική εξουσία χωρίς έλεγχο του αρχείου, αν όχι και της μνήμης» (Derrida, 1996:41-42)

τα αποικιοκρατικά ευρωπαϊκά συστήματα ταξινόμησης και δημιουργίας γνώσης σχηματοποιούν και νοηματοδοτούν ακόμη τις συλλογικές μνήμες λευκών και μαύρων αντίστοιχα βλ. παρακάτω στη σελ. 108 αναφέρεται:But I was haunted by a series of corrosive stereotypes: the Negro's sui generis...& στην σελ.119 : Δεν μπορώ να πάω σινεμά χωρίς να συναντήσω τον εαυτό μου. Περιμένω τον εαυτό μου. Λίγο πριν ξεκινήσει η ταινία, περιμένω τον εαυτό μου. Αυτοί που είναι μπροστά μου με κοιτάζουν, με κατασκοπεύουν, με περιμένουν.

I fully understand what he means. Showing who you are on the inside on the outside. Trying to find the courage to do that myself.

That’s amazing! Using the architecture methods of construction from that time period is very cool to me! Tar, linseed oil, and ox blood; i would love to see the buildings in person.

There is more to every culture than just the negative aspects.

"building"

antisemitism is nothing new

It was a terrorist attack.

Good for her.

No UMIs

Quote GPT: "Let’s break this down step by step and look carefully at the computational procedure they used, assessing both its strengths and weaknesses.

What They Did Right

1. Choice of Reference and Annotation

2. They used hg38 as the reference genome and the GENCODE v39 comprehensive transcript annotation set.

3. This is good practice, since hg38 is the current gold-standard reference, and GENCODE is the most complete and high-quality human transcript annotation resource.

4. Tool for Isoform Discovery (IsoQuant v3.3.1)

5. IsoQuant is designed for long-read transcriptome analysis and is well-suited to Oxford Nanopore data, which has unique error profiles compared to Illumina.

6. They set -d nanopore, which ensures that IsoQuant applies the correct error model and alignment heuristics.

7. Quality Control (SQANTI3)

8. They validated the assembled transcript models with SQANTI3, which is one of the standard tools for assessing structural and quality metrics of novel isoforms (junction accuracy, coverage, splice motif analysis, etc.).

9. This helps filter out false positives and adds confidence to reported novel isoforms.

10. Quantification Strategy

11. Using --gene quantification all and --transcript quantification all ensures they didn’t limit themselves to annotated transcripts, which is important for discovery.

Potential Weaknesses / Flaws

1. Batch Analysis of All FASTQs Together

2. They ran IsoQuant on all FASTQs in one batch.

3. This risks pooling artifacts across samples: rare or sample-specific isoforms may look more convincing when aggregated, but they might not be real if not supported in individual samples.

4. Ideally, one should assemble transcripts per sample first and then merge, to track sample-specific expression and minimize false discoveries.

5. Strandedness Setting (-stranded none)

6. For cfRNA, strandedness is often important to distinguish sense from antisense transcription.

7. By setting it to "none," they lose orientation information, which could inflate the number of apparent novel transcripts or misclassify antisense transcription as novel.

8. Loose Matching Strategy (-matching_strategy loose)

9. This increases sensitivity but at the cost of specificity.

10. Nanopore reads have higher error rates, and loose matching risks aligning spurious sequences as novel isoforms when they might be alignment artifacts.

11. Novel Transcript Reporting (--report_novel_unspliced true)

12. Allowing unspliced transcripts to be reported as novel might overcount pre-mRNA fragments or degraded cfRNA, which are abundant in plasma.

13. Without careful filtering, many of these could be biologically irrelevant.

14. SQANTI3 with Default Parameters

15. While SQANTI is robust, running it with defaults only may not be enough. For cfRNA (which is fragmented and low-abundance), more stringent filters (on junction support, read coverage, canonical splice motifs) are usually needed.

16. Otherwise, false positives could pass QC.

Overall Reliability

• Strengths: They used well-regarded tools (IsoQuant + SQANTI), a proper reference (hg38 + GENCODE), and applied the Nanopore-specific model. That’s a solid foundation.
• Weaknesses: They pooled samples, did not use strandedness, allowed loose matching, and reported unspliced transcripts—all of which tend to inflate the number of “novel” transcripts and may misclassify artifacts as biology. For cfRNA, which is already fragmented and noisy, these issues are magnified.

Conclusion

Their method is adequate for generating hypotheses about novel cfRNA transcripts, but the reliability of their discoveries is questionable without stronger filtering and sample-level validation. The key weaknesses (pooling, unstranded analysis, permissive matching, unspliced reporting) suggest their reported “novel transcripts” are likely overestimates.

If I were evaluating this, I’d say:

• Good first pass, but high false discovery rate.
• They should have assembled per-sample, used stranded protocols if possible, tightened alignment criteria, and reported only spliced, reproducible isoforms across samples."

They didn't do any validation or testing on a validation/test set, they just trained, subset features, and reported sens/spec

I appreciate when an author utilizes line breaks to "slow the readers pace" and add interest. I read a lot and so I have gotten used to speed reading. I think it is important to slow down when reading poetry but It has been a learning curve trying to stop my brain from grouping together words as to comprehend them quicker. It is especially helpful when the author forces you to slow down by breaking up words.

I think the starting image is particularly interesting because of its variety. The author gives us a visceral, layered, and somewhat disturbing image of moths being burned. This is then matched through metaphor with snow, something that is later described as a "simple." It's interesting to see how the author plays with description pulling you one way and then redirecting you another way.

It would be very interesting how this effect scales with model size. I'd be curious to see if particularly the larger ESM models cause more general latents to break down into more family specific groupings. This would mesh with some of the evidence of family specific overfitting that keeps popping up in the larger sized models.

The minute I read this sentence, I noticed that these "constraints" are not only (in theory) put in place to help the system work more efficiently; by a barely perceptible process, they mold our forms of expression. Remember how it was when I first used Twitter, and I always felt that 280 characters were too much in express everything clearly - thus got used to cut off the “redundant emotional words” and keep things simple? In a way, this pattern system was training me to “think in data”, where my thoughts could only be expressed within the character limit of what the algorithm would allow. That’s when I realised that data structures are never neutral — they have an enormous effect on how humans communicate. They frequently embody the value perspective of their designers.

I found this somewhat surprising but also understanding. With the modern-day internet, we are given the opportunity to read endless material that would otherwise prior to the internet take weeks to encounter. That being said the amount of resource has turned us into more decoders of information -- when we skim through an article and do not find the exact information that we need we go onto the next article and the cycle repeats -- thus causing us to become more like decoders rather than forming rich connections with the text.

I can for sure relate and agree to this. I find myself loosing focus almost instantly after reading a few paragraphs of content within a blog post -- so I end up skimming through it as fast as possible -- it helps me to stay focused; however, I miss any real deep analyzation of the text.

This critique echoes the collapse of “scientific management” illusions that began in the 20th century — from Frederick Taylor’s rigid time–motion systems to the Soviet five-year plans that mistook prediction for control. Both assumed the world could be tamed by spreadsheets. Reality didn’t comply. The most resilient builders, from postwar Japan’s lean factories to modern open-source movements, succeeded not through perfect plans but through constant adaptation — the art of staying awake in chaos.

History has shown again and again that the “real world” isn’t all that real — it’s mostly just collective fear dressed up as wisdom.

Si Star-Lord est un personnage relativement connu en raison de l'adaptation cinématographique récente des Gardians of the Galaxy, ce n'est pas le cas de Weirdworld. Un peu de contexte pourrait être bénéfique, en indiquant par exemple qu'il s'agit d'une série.

Testing this functions

Stop with the forsaken quotes!!!

• Nick (his family) has been wealthy for 3 generations in Midwest his great uncle started their family wealth) after nick graduated, he decided to move East to study bond business, his family was hesitant at first. Nick end up renting a small house outside the city. (His worn out house cost 80$) New life: old car, Finnish woman working for him that speaks to herself

Total Budget is £3.5M even if i want to change the amount of budget, as soon as i refresh the page, the amount goes back to £3.5M. we should be able to save the work or different changes we have made. Thanks.

!! That's quite interesting. This allows for a consistent framing of the organizations system regardless of fractal layer. X Stream Aligned team is solving this problem, beneath that, it is solving it by having a couple stream teams, a complicated subsystem team, and an enabling team. Those don't have to be visible on the top layer.

:|