10,000 Matching Annotations
  1. Last 7 days
    1. AbstractStrain-level metagenomic classification is essential for understanding microbial diversity and functional potential, but remains challenging, par- ticularly in the absence of prior knowledge about the composition of the sample. In this paper we present MADRe, a modular and scalable pipeline for long-read strain-level metagenomic classification, enhanced with Metagenome Assembly-Driven Database Reduction. MADRe com- bines long-read metagenome assembly, contig-to-reference mapping reas- signment based on an expectation-maximization algorithm for database reduction, and probabilistic read mapping reassignment to achieve sensi- tive and precise classification. We extensively evaluated MADRe on sim- ulated datasets, mock communities, and a real anaerobic digester sludge metagenome, demonstrating that it consistently outperforms existing tools by achieving higher precision with reduced false positives. MADRe’s de- sign allows users to apply either the database reduction or read classi- fication step individually. Using only the read classification step shows results on par with other tested tools. MADRe is open source and pub- licly available at https://github.com/lbcb-sci/MADRe.

      This work has been peer reviewed in GigaScience (see https://doi.org/10.1093/gigascience/giag030), which carries out open, named peer-review. These reviews are published under a CC-BY 4.0 license and were as follows:

      Reviewer 1:

      I have no significant concerns with the MADRe methodology, and the current datasets provide sufficient evidence of its strain-level performance. However, several issues still need to be addressed.

      The reponse states: "However, we observed a limitation when Centrifuger cannot confidently assign a read to a specific reference sequence (for example, when multiple chromosomes belong to the same strain). In such cases, it often classifies the read under the NCBI strain-level taxid, which in some instances is identical to the species-level taxid. This makes it impossible to directly and fairly compare those classifications with other tools that operate at the sequence level."

      Although I agree this issue may not substantially affect the overall conclusions, the current handling of strain-level evaluation for Centrifuger is not sufficiently rigorous. The underlying problem is that Centrifuger (and Kraken2) rely on nodes.dmp and names.dmp, where the lowest taxonomic rank is often species or subspecies. As a result, these tools cannot report strain-level abundances directly in their standard output. A more appropriate solution would be to assign custom, unique strain-level taxIDs for all reference genomes, allowing proper classification at the strain level. This approach has been discussed in https://github.com/mourisl/centrifuger/issues/18 and https://github.com/jenniferlu717/Bracken/issues/113. Additionally, Centrifuger has an extra program, centrifuger-quant, that uses the EM algorithm to estimate abundance. The read assignment results produced by Centrifuger do not apply the EM algorithm.

      In the similarity experiment, some strains exhibit extremely high similarity, which makes proportional read distribution practically impossible for MADRe. To better characterize the performance limits of MADRe for accurate strain classification and abundance estimation, I recommend including additional simple synthetic mixtures at different combinations of similarity and coverage depth. Because long reads vary widely in length, read counts alone can be misleading. I strongly encourage reporting strain abundances rather than raw read counts, as abundances are more relevant for downstream applications. Finally, the authors should clarify whether MADRe's limitations in detecting low-abundance strains (referring more to low coverage) is entirely determined by the performance of the assembly tool, or whether additional factors influence this limitation.

      In Figure 4, please specify the sequencing technology used for sim_high. "calculated usin fastANI" →"calculated using fastANI".

    1. CASE ILLUSTRATION 2 The parent of a 3-year-old boy reports that her son throws himself on the floor, throws objects, and screams … usually when he does not get his own way. This seems to happen daily. At his child care center, he has begun to bite other children when he is angry, and other parents have begun to complain about him.

      .

    2. CASE ILLUSTRATION 1 (CONTD.) On further questioning in this case, the parents reported that their baby falls asleep immediately after daytime feeds and sleeps for 3–5 consecutive hours thereafter. Since this baby did not adapt to an acceptable day/night schedule, the doctor recommended waking the baby up after no more than 2–3 hours of daytime sleep. Parents were to occupy their infant’s daytime hours by walking around, talking, playing music, and other activities. It was recommended that nighttime feeds be made minimally stimulating: soften the lights, produce minimal noise, and avoid “fun” interactions at night. Although sleeping and feeding “on demand” does not need to be discouraged if parents find it acceptable, in this case the infant’s pattern was distressing to the parents. After 5–6 days of compliance with this schedule, it became easier for the parents to keep their daughter awake during the day, and they settled for a nighttime feed before they went to bed at 11 p.m. and another feed at 4 a.m.

      .

    3. Emotional intelligence is defined as the ability to identify one’s own feelings, to identify the feelings of others, and to solve problems that involve emotional issues.

      .

    4. Cognitive behavioral therapy (CBT) comprises a series of techniques based on the notion that there is a close relationship between a person’s thoughts, feelings, and behavior.

      .

    5. In anxious-avoidant attachment, the infant shows reduced affect and interest toward the caregiver and treats the stranger and caregiver in a similar manner.

      .

    6. Attachment theory explains how infants respond to this vulnerability by developing a strong emotional relationship with a primary caregiver in the first year of life.

      .

    1. *

      Yicong Wang:

      Coding was done with the help of: ChatGPT, and Visual Studio Code.

      Digital Platform was Supported By: Hypothes.is, and GitHub.

      Bibliography: Handian (The Chinese Dictionary). https://www.zdic.net.

      Hanyu Da Cidian (The Dictionary of Classical Chinese). https://homeinmists.ilotus.org/hd/hydcd.php. Accessed 9 Apr. 2026.

      Luo, Hui. “Mastering a Minor Tradition: Pu Songling and the Chinese Ghost Tale.” A Companion to World Literature, 19 Dec. 2019.

      Pu, Songling. Strange Tales from Liaozhai. Translated by Sidney L. Sondergard, Jain Publishing, 2008.

      Quan jiao hui zhu ji ping Liaozhai zhiyi (trange Tales from the Studio of Leisure and The Anthology of Commentaries ). Edited by Ren Duxing, 4 vols., People's Literature Publishing House, 2016.

      Werner, Sarah. Studying Early Printed Books, 1450–1800: A Practical Guide. Wiley, 2019.

    2. *

      Yicong Wang: This edition is only used for the course assignment for BKS 2000 at the University of Toronto.

      Editor's Introduction of the Timeless Readership Edition: The Painted Skin is a chapter from the Strange Tales from a Studio of Leisure, a Chinese anthology of supernatural stories written by Pu Songling (1640-1715), first published in 1680. Luo Hui at the Victoria University of Wellington mentioned that this particular book is "arguably the most read, studied, translated, staged, and filmed ghost story collection in the world," with a long history of popular reception and adaptation.

      In its long history of adaptation and reception, the main body or story itself is not the only part that intrigues me. It would be noticeable that this text has an abundance of commentary tradition, especially the in-text commentaries written by literati commentators published with certain editions, as a part of the main texts in the 18th and 19th centuries. One could argue that in those editions, what attracted the readers was the minds of both the author and their fellow readers.

      With the help of the web-commenting tool hypothes.is, and the platform GitHub, this edition can reappear the in-text commentary tradition by the 18th and 19th century commentators, while I enable the contemporary readers to add their commentaries by highlighting the text-cloud buttons. Both commentaries and editors’ notes are displayed only if the readers click the button, so it would be the readers’ choice to let them appear or not.

      For the in-text commentary tradition of this book, when going over editions of hundreds of years, a diverse type of in-text commentary could be found, the most common ones included in the Strange Tales from a Studio of Leisure are: Zhu: philology Notes, Jiao: textual variations, and Ping: commentaries on texts/ contents. This edition will include the Ping, which was the commentary on the texts, ranging from more casual commentaries to more serious ones with moral lessons.

      In the process of researching 18th and 19th-century commentaries, it would be noticeable that the four commentators that I have included in this edition are commonly perceived as the "most well-known" ones, and have been included in most of the earlier and contemporary commented editions. However, other commentaries, either existing only in manuscripts or not massively printed, are relatively less represented. In my editing process, I kept the argument of Sarah Werner in mind. "We work with what we have, but we can try to remember there’s a lot we don’t have." It would always be worth remembering that these commentaries could not represent the complete and comprehensive commentary tradition of the 18th and 19th centuries of China.

      As there would be an accumulation of commentaries as time goes by, the ongoing resonances and conversations would have the potential to demonstrate the continuity of a relatively more timeless reader’s community over hundreds of years.

    3. 💬

      Fang Shuyan: Why say "painted" when talking about skin? It is about making the appearance seductively charming; why say "skin" when talking about paint? It is about the foul human shell. Those in the world who like Wang see the fine appearance and forget about the foulness of the human shell; they think the women's eyebrows are curve like the far mountains, their eyes are clear like the water of autumn, their hair on the temples is like clouds, their cheeks are like peaches, their lips are red like cherries, their teeth are neat like the seeds of gourds; and their breasts like fox nut, soft waists like willows, steps like golden lotuses, tender flesh like rosemallow, these gather the most pleasant analogies.* Once hang out with the concubine, they try to escape from their shrew-like wives; when they hold hands and go back home with their concubines, they feel satisfaction like butterflies following them. Not as soon as Wang saw the body of the woman, he died of her. Hanging the fly swatter, but she was still breaking the door of his bedroom, when the fiendish ghost opened her mouth, Wang's belly was broken, his heart was gone and dead. Alas! The one who beheaded the ghost was the ghost herself, not the Daoist Priest. The one who took Wang’s heart was Wang himself, not the ghost. If the ghost did not hurt people, she could not be suffered from the wooden sword; if Wang did not desire lust, how could his wife suffer from the pain of losing her husband and the shame of eating phlegm? From this, we could see that the beautiful appearances are actually foul human shells, and even more, they are scary. Those crazy ones can not realize that.

      方舒巖: 皮曷云畫?冶容也。畫曷云皮?臭囊也。乃世見容忘臭如王生者,以爲眉若遠山,眼如秋水,云鬢桃腮,櫻唇犀齒,與夫鷄頭乳、楊柳腰、金蓮步、芙蓉脂肉,聚天下之怡情悦目者悉備於此。*一旦抱裯獨走,遂逃獅吼之憂;携手同歸,我慰蝶隨之慕,有不待玉體横陳,而魂已消于阿堵矣。蠅拂懸,寢門折,獰鬼口張,心亡肚裂。嗚呼!斬獰鬼首者獰鬼也,非道士也。掬王生心者王生也,非獰鬼也。設獰鬼能不害人,則可以免乎木劍;王生能不漁色,又何至使其妻遭夫亡之慘,復拒食唾之羞?由是觀之,較視玉容爲臭皮囊更爲毛髮悚然。其如狂且之不悟何。

    4. 💬

      Dan Minglun: (The beggar) coughed out phlegm to turn into the human heart; the magic was strange; the one who was forced to eat it would suffer. I do not know, after Wang was revived, whether he would be beating his breast and grieved enough, like how painful (his wife was) .

      但明倫: 咯痰唾以爲人心,仙術則奇;所苦者,强啖之人耳。不知其復活以後,亦嘗撫膺而痛心及此否。

    5. 💬

      Dan Minglun: The one who was willing to die for a beautiful woman, what's the point of him being alive? Those who loved others' beautiful women, others would love their beautiful woman, their beautiful women would also love someone else.“There are plenty of men who can be your husband out there, so why do you want this one alive?” This was the warning from the immortal, which cannot be treated as crazy words.

      但明倫:彼固愛佳人而甘心就死者,活之何爲? 彼愛人之佳人,人亦將愛彼之佳人,彼之佳人且將轉而愛人矣。「人盡夫也,活之何爲?」此仙人警人語也,勿作瘋顛語看。

    6. 💬

      Dan Minglun: The beautiful woman, but actually an old woman, a demon, and lied down while howling like pigs, turning into dense smoke. When having pleasure in the quilt, it may be called "having all sorts of wonderful things."

      但明倫:麗人也,而老嫗矣、厲鬼矣,且卧嗥如猪,變作濃煙矣。衾裯中得意時,可謂無美不備矣。

    7. 💬

      Feng Zhenluan: The men who marry a second wife (might refer to a concubine) had an extremely dark heart, and the heart should be taken out and eaten.

      馮鎮巒: 納後婦者其心黑,應攫取而食之。

    8. 💬

      Dan Minglun: That escapee had already been on your bed. If she was not aiming for breaking your belly and getting your heart, why would she sleep with you? That was only the consequence that people can see; there would be more severe consequences that cannot be seen and traced, your parents, wife, brothers, friends, they all could not know, where would you find people to revive you?

      但明倫: 彼在亡之人,固已登子之牀矣。不爲裂肚掬心,何以與子寢合乎?然此其共見者耳;更有甚於裂肚掬心而無形跡可窺者,父母、妻子、兄弟、朋友、皆不得知,何處求人而活之哉?

    9. *

      Yicong Wang:

      This Annotation refers to the allusions used in the commentary by Feng Zhenluan.

      • 魯男子: Man in the Lu State: First mentioned in The Book of Poetry, telling the story of a man from the Lu State, who had no lust for women, refused to stay with a woman in a night of rainstorm. This term was later commonly used in classical Chinese to refer to a man with no lust for women.
      • 北邙 Beimang Mountain: The mountain was the place of plenty of premodern Chinese nobles' tombs; the name of this mountain was commonly used to refer to tombs in classical Chinese.
    10. 💬

      Dan Minglun: Even if she was really an escapee, how could he just be greedy and keep her hidden? It was actually inviting the ghost into his house, his wife advised him, yet he would not listen; the Daoist priest warned him, yet he would not awaken. How deeply seductive beauty can be!

      但明倫:即令真是在亡之人,又豈可貪而匿之?明明引鬼入宅,妻勸之而不從,道士言之而不悟,色之迷人甚矣哉!

    11. *

      Yicong Wang: The base text is from the Jain Publishing Company’s edition, edited and translated by Sidney L. Sondergard.

      This edition also includes the Qing Dynasty's Commentaries (1644—1912), from editions edited by Ren Duxing, published by People's Literature Publishing House.

      The digital reading platform edition is edited, and the historical comments are translated into English by Yicong Wang.

    12. *

      Yicong Wang: This Annotation refers to the allusions used in the commentary by Fang Shuyan.

      These analogies of females' appearances are all commonly used analogies in classical Chinese.

    13. 💬

      He Shouqi: The evil spirit flirted with Wang so well; those who do not know how to control themselves will all fall into her trap. However, the evil spirit is scary indeed; the temptations that are not evil spirits are also scary, a decent gentleman should be cautious about that. The Daoist priest gave Wang a fly swatter, but it could not save Wang's life in the end, the Daoist priest was of no use; the crazy man let Wang's wife eat his coughed-up phlegm, and that could revive Wang, Who was that crazy man?

      何守奇:魅挑生之言甚工。使非有以自持,無不入其彀中矣。然魅之爲魅可畏,非魅之魅仍可畏,是故君子慎之。道士以蠅拂授王生,終不能救王生之死,是道士不濟。瘋者以咯痰啖生妻,乃竟能致王生之生,彼瘋者何人?

    Annotators

    1. an agent does not care about the structure, unless you specifically ask it to. But even in this case you have to review the changes.

      【启发】「AI 天然不在意结构,除非你明确要求」——这个发现定义了人类工程师在 AI 时代最不可替代的职责:做代码结构的「守门人」。这与 Every 文章里「每个人都是管理者」的洞见形成呼应:人类的工作从「执行代码」转变为「审查代码质量并为 AI 设定标准」。对工程团队文化的启发:代码 Review 的重要性不是在下降,而是在上升——因为现在需要 Review 的代码量是以前的 10 倍。

    2. LLMs are pretty good at picking up the style in your repo. So keeping it clean and organized already helps.

      【启发】「整洁的代码库会教会 AI 模仿它的风格」——这是一个良性循环的起点。好代码 → AI 学习好风格 → AI 生成更好的代码 → 代码库更整洁。反之亦然:烂代码 → AI 学习烂风格 → 越来越多的烂代码。这意味着代码库的初始质量会被 AI 放大——好的变得更好,烂的变得更烂。技术债的「利息」在 AI 时代将以更高的复利增长。

    3. When you give a task to your agent, make sure you also explain how the code should be organized. Not only value, but also structure.

      【启发】这条实操建议揭示了一个普遍被忽视的 Prompt 盲区:大多数人给 AI 下达编程任务时,只描述「做什么」,从不描述「怎么组织」。这相当于只告诉一个新员工「实现这个功能」,却从不告诉他「我们的代码规范是什么」。对所有使用 Vibe Coding 的人来说,这条建议应该成为标准操作流程的一部分——在每次任务 Prompt 中,主动加入结构约束。

    4. Robert Martin in Clean Architecture talks about code as having two properties: value (it works, it's fast, etc.) and structure (how code is organised).

      【启发】把 Robert Martin 的「价值 vs 结构」二元框架带入 AI Agent 时代,是一个极聪明的理论嫁接。AI 天然只关心「价值」(能跑通、能完成任务),却倾向于忽略「结构」(代码是否整洁、是否可维护)。这意味着在 AI 驱动的开发工作流中,「守护结构」必须成为人类工程师的核心职责——这是 AI 无法自发完成的工作,也因此成了人类不可替代的价值所在。

    5. poorly organized code means agents need to read, "understand", and make changes to more files than necessary - polluting their context and costing you tokens.

      【启发】技术债从「慢慢损害可维护性」变成了「立刻损害你的账单」。这是一个全新的技术债量化维度——不再只能用「未来的工时」来衡量,而可以用「每次 AI 调用的 token 超支」来实时计算。这为「说服管理层重视代码质量」提供了一个全新的、财务可量化的论据:烂代码不只是技术问题,它在每次 AI 执行任务时都在直接产生额外费用。

    6. Context is basically how many things a machine can keep in its operational memory - it's not so different from the very human cognitive load.

      【启发】「上下文窗口 = 认知负荷」——这个类比是整篇文章最有洞察力的一句话。它把一个技术概念(context window)与一个人类体验(认知疲劳)无缝连接。启发在于:所有帮助人类减少认知负荷的代码实践——模块化、清晰命名、单一职责——现在也在帮助 AI 减少 token 消耗。「对人友好的代码 = 对 AI 友好的代码」,这个等式比我们想象的成立得更彻底。

    7. their productivity is affected by the state of the codebase.

      【启发】这句话的深远意义在于:它把 AI Coding Agent 与人类开发者置于同一评价维度。这不是「AI 是否能替代人」的问题,而是「AI 受代码质量影响的方式是否与人类相同」。答案是肯定的——这意味着几十年来软件工程师积累的代码质量实践,不是因为 AI 的到来而失效,而恰恰因为 AI 的到来而变得更加重要。技术债从「慢慢影响人」变成了「立刻影响 AI 的 token 消耗」。

    1. 💬

      Dan Minglun: She was clearly a beautiful woman, yet had a bluish-green face and jagged, saw-like teeth, only wearing a coloured-painted human skin? Those in the world who confuse people with gaudiness are actually those people who wear human skin, and paint them with coloured pen every day. Alas, that is so scary!

      但明倫:明明麗人也,而乃翠面鋸齒,徒披采繪之人皮者乎?世之以妖冶惑人者,固日日鋪人皮,執采筆而繪者也。吁!可畏矣!

    2. 💬

      Feng Zhenluan: Everyone would see her and call her a beauty, but I would see her as a fiendish ghost. If everyone had my eyes, they would all be man with no lust for women (Man in the Lu State).* My heart is like a dead tree, abstinent like the sage, deity, or Buddha. Otherwise, if the mind is deluded by desires, I will be dust in the grave (under the Beimang Mountain)."

      馮鎮巒: 人見呼佳人,我見如獰鬼,人人如我眼,便是魯男子 。此心即枯木,聖賢仙佛矣,不然心眼迷,北邙 山下土。

    3. 💬

      He Shouqi: The evil spirit flirted with Wang so well; those who do not know how to control themselves will all fall into her trap. However, the evil spirit is scary indeed; the temptations that are not evil spirits are also scary, a decent gentleman should be cautious about that. The Daoist priest gave Wang a fly swatter, but it could not save Wang's life in the end, the Daoist priest was of no use; the crazy man let Wang's wife eat his coughed-up phlegm, and that could revive Wang, Who was that crazy man?

      何守奇:魅挑生之言甚工。使非有以自持,無不入其彀中矣。然魅之爲魅可畏,非魅之魅仍可畏,是故君子慎之。道士以蠅拂授王生,終不能救王生之死,是道士不濟。瘋者以咯痰啖生妻,乃竟能致王生之生,彼瘋者何人?

    4. *

      Yicong Wang: This Annotation refers to the allusions used in the commentary by Fang Shuyan.

      These analogies of females' appearances are all commonly used analogies in classical Chinese.

    5. 💬

      Dan Minglun: Death was about to come, but he did not awake. How clear that priest's advice to him; but when he first heard it, he doubted it; when he rethought about it, he thought it was crazy. Loyal advice is harsh to the ear; it is always this case!

      但明倫:死將臨而不悟,其言何等真切;乃初聞之而疑,轉思之,且以爲妄矣。忠言逆耳,固如是夫!

    6. *

      Yicong Wang: I suggest emending this translation of "southern courtyard" to "southern courtyard of the household." The translation "southern courtyard" could be confusing in showing the place where Wang’s younger brother lived, as it does not fit enough to show how the whole family was living in one complex, and each smaller family lived in one part of the complex, in premodern China, by the time the author lived.

    7. 💬

      Feng Zhenluan: The heart after that will not be the heart before; the previous heart desired for sexual lust, what will the new heart desire? I would like to ask.

      馮鎮巒:此後之心非向日之心也,向日之心好色,此後之心何好,吾欲問之。

    8. *

      Yicong Wang: The base text is from the Jain Publishing Company’s edition, edited and translated by Sidney L. Sondergard.

      This edition also includes the Qing Dynasty's Commentaries (1644—1912), from editions edited by Ren Duxing, published by People's Literature Publishing House.

      The digital reading platform edition is edited, and the historical comments are translated into English by Yicong Wang.

    9. 💬

      Dan Minglun: Even if she was really an escapee, how could he just be greedy and keep her hidden? It was actually inviting the ghost into his house, his wife advised him, yet he would not listen; the Daoist priest warned him, yet he would not awaken. How deeply seductive beauty can be!

      但明倫:即令真是在亡之人,又豈可貪而匿之?明明引鬼入宅,妻勸之而不從,道士言之而不悟,色之迷人甚矣哉!

    10. 💬

      Feng Zhenluan: The men who marry a second wife (might refer to a concubine) had an extremely dark heart, and the heart should be taken out and eaten.

      馮鎮巒: 納後婦者其心黑,應攫取而食之。

    11. 💬

      Dan Minglun: That escapee had already been on your bed. If she was not aiming for breaking your belly and getting your heart, why would she sleep with you? That was only the consequence that people can see; there would be more severe consequences that cannot be seen and traced, your parents, wife, brothers, friends, they all could not know, where would you find people to revive you?

      但明倫: 彼在亡之人,固已登子之牀矣。不爲裂肚掬心,何以與子寢合乎?然此其共見者耳;更有甚於裂肚掬心而無形跡可窺者,父母、妻子、兄弟、朋友、皆不得知,何處求人而活之哉?

    12. 💬

      Dan Minglun: The beautiful woman, but actually an old woman, a demon, and lied down while howling like pigs, turning into dense smoke. When having pleasure in the quilt, it may be called "having all sorts of wonderful things."

      但明倫:麗人也,而老嫗矣、厲鬼矣,且卧嗥如猪,變作濃煙矣。衾裯中得意時,可謂無美不備矣。

    13. 💬

      Fang Shuyan: Why say "painted" when talking about skin? It is about making the appearance seductively charming; why say "skin" when talking about paint? It is about the foul human shell. Those in the world who like Wang see the fine appearance and forget about the foulness of the human shell; they think the women's eyebrows are curve like the far mountains, their eyes are clear like the water of autumn, their hair on the temples is like clouds, their cheeks are like peaches, their lips are red like cherries, their teeth are neat like the seeds of gourds; and their breasts like fox nut, soft waists like willows, steps like golden lotuses, tender flesh like rosemallow, these gather the most pleasant analogies.* Once hang out with the concubine, they try to escape from their shrew-like wives; when they hold hands and go back home with their concubines, they feel satisfaction like butterflies following them. Not as soon as Wang saw the body of the woman, he died of her. Hanging the fly swatter, but she was still breaking the door of his bedroom, when the fiendish ghost opened her mouth, Wang's belly was broken, his heart was gone and dead. Alas! The one who beheaded the ghost was the ghost herself, not the Daoist Priest. The one who took Wang’s heart was Wang himself, not the ghost. If the ghost did not hurt people, she could not be suffered from the wooden sword; if Wang did not desire lust, how could his wife suffer from the pain of losing her husband and the shame of eating phlegm? From this, we could see that the beautiful appearances are actually foul human shells, and even more, they are scary. Those crazy ones can not realize that.

      方舒巖: 皮曷云畫?冶容也。畫曷云皮?臭囊也。乃世見容忘臭如王生者,以爲眉若遠山,眼如秋水,云鬢桃腮,櫻唇犀齒,與夫鷄頭乳、楊柳腰、金蓮步、芙蓉脂肉,聚天下之怡情悦目者悉備於此。*一旦抱裯獨走,遂逃獅吼之憂;携手同歸,我慰蝶隨之慕,有不待玉體横陳,而魂已消于阿堵矣。蠅拂懸,寢門折,獰鬼口張,心亡肚裂。嗚呼!斬獰鬼首者獰鬼也,非道士也。掬王生心者王生也,非獰鬼也。設獰鬼能不害人,則可以免乎木劍;王生能不漁色,又何至使其妻遭夫亡之慘,復拒食唾之羞?由是觀之,較視玉容爲臭皮囊更爲毛髮悚然。其如狂且之不悟何。

    14. 💬

      Dan Minglun: The one who was willing to die for a beautiful woman, what's the point of him being alive? Those who loved others' beautiful women, others would love their beautiful woman, their beautiful women would also love someone else.“There are plenty of men who can be your husband out there, so why do you want this one alive?” This was the warning from the immortal, which cannot be treated as crazy words.

      但明倫:彼固愛佳人而甘心就死者,活之何爲? 彼愛人之佳人,人亦將愛彼之佳人,彼之佳人且將轉而愛人矣。「人盡夫也,活之何爲?」此仙人警人語也,勿作瘋顛語看。

    15. *

      Yicong Wang:

      Coding was done with the help of: ChatGPT, and Visual Studio Code.

      Digital Platform was Supported By: Hypothes.is, and GitHub.

      Bibliography: Handian (The Chinese Dictionary). https://www.zdic.net.

      Hanyu Da Cidian (The Dictionary of Classical Chinese). https://homeinmists.ilotus.org/hd/hydcd.php. Accessed 9 Apr. 2026.

      Luo, Hui. “Mastering a Minor Tradition: Pu Songling and the Chinese Ghost Tale.” A Companion to World Literature, 19 Dec. 2019.

      Pu, Songling. Strange Tales from Liaozhai. Translated by Sidney L. Sondergard, Jain Publishing, 2008.

      Quan jiao hui zhu ji ping Liaozhai zhiyi (trange Tales from the Studio of Leisure and The Anthology of Commentaries ). Edited by Ren Duxing, 4 vols., People's Literature Publishing House, 2016.

      Werner, Sarah. Studying Early Printed Books, 1450–1800: A Practical Guide. Wiley, 2019.

    16. 💬

      Dan Minglun: (The beggar) coughed out phlegm to turn into the human heart; the magic was strange; the one who was forced to eat it would suffer. I do not know, after Wang was revived, whether he would be beating his breast and grieved enough, like how painful (his wife was) .

      但明倫: 咯痰唾以爲人心,仙術則奇;所苦者,强啖之人耳。不知其復活以後,亦嘗撫膺而痛心及此否。

    17. *

      Yicong Wang: This edition is only used for the course assignment for BKS 2000 at the University of Toronto.

      Editor's Introduction of the Timeless Readership Edition: The Painted Skin is a chapter from the Strange Tales from a Studio of Leisure, a Chinese anthology of supernatural stories written by Pu Songling (1640-1715), first published in 1680. Luo Hui at the Victoria University of Wellington mentioned that this particular book is "arguably the most read, studied, translated, staged, and filmed ghost story collection in the world," with a long history of popular reception and adaptation.

      In its long history of adaptation and reception, the main body or story itself is not the only part that intrigues me. It would be noticeable that this text has an abundance of commentary tradition, especially the in-text commentaries written by literati commentators published with certain editions, as a part of the main texts in the 18th and 19th centuries. One could argue that in those editions, what attracted the readers was the minds of both the author and their fellow readers.

      With the help of the web-commenting tool hypothes.is, and the platform GitHub, this edition can reappear the in-text commentary tradition by the 18th and 19th century commentators, while I enable the contemporary readers to add their commentaries by highlighting the text-cloud buttons. Both commentaries and editors’ notes are displayed only if the readers click the button, so it would be the readers’ choice to let them appear or not.

      For the in-text commentary tradition of this book, when going over editions of hundreds of years, a diverse type of in-text commentary could be found, the most common ones included in the Strange Tales from a Studio of Leisure are: Zhu: philology Notes, Jiao: textual variations, and Ping: commentaries on texts/ contents. This edition will include the Ping, which was the commentary on the texts, ranging from more casual commentaries to more serious ones with moral lessons.

      In the process of researching 18th and 19th-century commentaries, it would be noticeable that the four commentators that I have included in this edition are commonly perceived as the "most well-known" ones, and have been included in most of the earlier and contemporary commented editions. However, other commentaries, either existing only in manuscripts or not massively printed, are relatively less represented. In my editing process, I kept the argument of Sarah Werner in mind. "We work with what we have, but we can try to remember there’s a lot we don’t have." It would always be worth remembering that these commentaries could not represent the complete and comprehensive commentary tradition of the 18th and 19th centuries of China.

      As there would be an accumulation of commentaries as time goes by, the ongoing resonances and conversations would have the potential to demonstrate the continuity of a relatively more timeless reader’s community over hundreds of years.

    1. Introduction The initial stage is an introduction, which should start with the sound hook sentence to engage the reader in what a writer plans to share. One example is: “A community is generally defined by people in a group who live together in a particular area, or a group of people who are considered a unit because of their shared interests or background.” Then, introduce the topic with its background in a couple of sentences. The writer will then end the paragraph with a powerful thesis statement, which points to the necessity of topic research. The writer’s goal is to do everything possible to lure the audience’s interest in the initial paragraph. Define the topic. Provide short background information. Introduce who your intended audience is. State what your driving research question is. Create a thesis statement by identifying the scope of the informative essay (the main point you want your audience to understand about your topic).

      Introduction and the main 5 points to focus on.

    2. These are sources from the mainstream academic literature: books and scholarly articles. Academic books generally fall into three categories: (1) textbooks written with students in mind, (2) monographs which give an extended report on a large research project, and (3) edited-volumes in which each chapter is authored by different people. Scholarly articles appear in academic journals, which are published multiple times a year in order to share the latest research findings with scholars in the field. They’re usually sponsored by some academic society. To get published, these articles and books had to earn favorable anonymous evaluations by qualified scholars.

      Tier one peer reviewed academic publications, The three categories.

    3. The Five W’s and How, Image by Gerd Altmann from Pixabay. The purpose of an informative essay, sometimes called an expository essay, is to educate others on a certain topic. Typically, these essays aim to answer the five Ws and H questions: who, what, where, when, why, and how. For this essay, you will focus on one or two driving questions about your topic, which will drive your research and help you reach a conclusion. The question can be one that emerged from your Exploratory Essay or it can be a brand-new question about your topic that you are interested in researching. The point of an informative essay is not to convince others to take a certain action or stance; that role is expressly reserved for persuasive essays. Instead, the main objective is to highlight specific information about your topic. In this project, you may be asking “after researching general aspects about my topic, what do I want others to understand about it?” Of course, if your informative essay is interesting enough, it may move readers to learn more about the subject, but they’ll have to come to that on their own, thanks to the wealth of interesting information you present.

      The five W's and how image is expressed.

    1. AbstractIt has been empirically established that genome mixing between divergent species can trigger meiotic aberrations, ultimately leading to the emergence of asexual reproduction through the production of unreduced gametes in various metazoan lineages. Yet, it remains poorly understood how such asexual hybrids cope with co-inherited differences in sex determination systems, diverged regulatory networks, and chromosomal incompatibilities— especially in the context of increased ploidy. Addressing these questions requires high-quality, chromosome-level reference genomes of the parental species involved in hybrid formation.Here, we present the first chromosome-level genome assemblies for three hybridizing Cobitis species (C. elongatoides, C. taenia, and C. tanaitica), providing a comprehensive framework to investigate the genetic and cytogenetic basis of hybrid sterility and the transition to asexuality. By integrating genome scaffolding, male/female pooled sequencing, and molecular cytogenetics, we uncover extensive structural variation among homologous chromosomes of the three species, despite their overall syntenic conservation.Population-level Pool-Seq analyses further revealed that each species possesses a distinct, non-homologous sex chromosome, highlighting sex chromosome turnover even among recently diverged lineages. These assemblies enabled the design of chromosome-specific painting probes, which we applied to meiotic metaphase I spreads of diploid hybrids. This approach revealed striking differences in the pairing success of orthologous chromosomes, with some (e.g., Ch01B) frequently forming bivalents, while others (e.g., Ch01A, Ch05, Ch20) failed to do so and remained unpaired.Our results demonstrate that chromosome-specific features, shaped by structural evolution and sex-linked divergence, contribute unequally to hybrid meiotic failure. Together, this work provides a high-resolution genomic and cytogenetic framework to understand how interspecific hybridization gives rise to clonality, and how the architecture of inherited parental genomes shapes the success or breakdown of meiosis in hybrid vertebrates.

      This work has been peer reviewed in GigaScience (see https://doi.org/10.1093/gigascience/giag031), which carries out open, named peer-review. These reviews are published under a CC-BY 4.0 license and were as follows:

      Reviewer 2:

      This study presents the first chromosome-level genome assemblies for three hybridising Cobitis species (C. elongatoides, C. taenia, and C. tanaitica) to investigate the genomic and cytogenetic basis of hybrid sterility and the transition to asexuality. They provide large mount of integrated data including genome scaffolding, male/female pooled sequencing (Pool-Seq), and molecular cytogenetics, and found extensive structural variation among homologous chromosomes of the three species, despite overall karyotype conservation. They further used population-level Pool-Seq analyses further revealed that each species possesses distinct, non-homologous sex chromosomes. Overall, the analyses are comprehensive and results are solid, which is suitable to this journal. I have only several minor concerns. 1. The Background is too long, with many short paragraphs, you can short it with 4-5 paragraphs. 2. Methods: there is no Ethics statement, please add it. 3. Table 1, should be moved to supplementary files. 4. Figure 4 is not easy to see.

    2. AbstractIt has been empirically established that genome mixing between divergent species can trigger meiotic aberrations, ultimately leading to the emergence of asexual reproduction through the production of unreduced gametes in various metazoan lineages. Yet, it remains poorly understood how such asexual hybrids cope with co-inherited differences in sex determination systems, diverged regulatory networks, and chromosomal incompatibilities— especially in the context of increased ploidy. Addressing these questions requires high-quality, chromosome-level reference genomes of the parental species involved in hybrid formation.Here, we present the first chromosome-level genome assemblies for three hybridizing Cobitis species (C. elongatoides, C. taenia, and C. tanaitica), providing a comprehensive framework to investigate the genetic and cytogenetic basis of hybrid sterility and the transition to asexuality. By integrating genome scaffolding, male/female pooled sequencing, and molecular cytogenetics, we uncover extensive structural variation among homologous chromosomes of the three species, despite their overall syntenic conservation.Population-level Pool-Seq analyses further revealed that each species possesses a distinct, non-homologous sex chromosome, highlighting sex chromosome turnover even among recently diverged lineages. These assemblies enabled the design of chromosome-specific painting probes, which we applied to meiotic metaphase I spreads of diploid hybrids. This approach revealed striking differences in the pairing success of orthologous chromosomes, with some (e.g., Ch01B) frequently forming bivalents, while others (e.g., Ch01A, Ch05, Ch20) failed to do so and remained unpaired.Our results demonstrate that chromosome-specific features, shaped by structural evolution and sex-linked divergence, contribute unequally to hybrid meiotic failure. Together, this work provides a high-resolution genomic and cytogenetic framework to understand how interspecific hybridization gives rise to clonality, and how the architecture of inherited parental genomes shapes the success or breakdown of meiosis in hybrid vertebrates.

      This work has been peer reviewed in GigaScience (see https://doi.org/10.1093/gigascience/giag031), which carries out open, named peer-review. These reviews are published under a CC-BY 4.0 license and were as follows:

      Reviewer 1:

      The authors assembled the genomes of three Cobitis species native to Eurasia in an attempt to investigate the effects of structural variants on hybrid meiotic failure. This is certainly an interesting topic given the advances in our abilities to study hybridization that have been enabled by modern genomic sequencing methods, and the evolutionary consequences of asexually-reproducing species that result from rare instances of these hybrid events.

      Major comments: The introduction of the manuscript is well-written and focused on the topic at hand. Language was mostly clear throughout the manuscript. However, the paper overall is very lengthy and would benefit from extensive revision. Personally, I think the assembly and annotation of the three genomes is worthy of being a paper (genome report) on its own. Extraction of this material into a separate manuscript would allow the authors to hone the remainder of the paper into a much more concise and focused manuscript. Some aspects of the methods section related to genome assembly and annotation could be clarified and/or bolstered. Presentation of methods is mostly clear, but the description of genome annotation methods is a bit tough to follow. This procedure included many complicated steps and may benefit from a flow chart, even if included only as a supplemental figure.

      Several important quality control steps pertaining to genome assembly and DNA/RNA sequence processing were not mentioned. Authors do not report methods used for quality filtering or trimming. They do not report any process for removal of sequencing adapters. Additionally, they do not report screening of the genome assemblies for contamination from other species. These are critical steps in producing high-quality genome assemblies that need to be addressed.

      Presentation of statistics describing genome assembly quality, contiguity, and completeness could be improved. Authors might want to take some inspiration from statistics required for reporting in genome reports published by other journals, such as G3 or Genome Biology and Evolution. Sequencing depth is not reported in any context for the initial assemblies. Only log-transformed values are available in a single figure. Throughout the manuscript, authors conflate sequencing coverage (the proportion of a genome or genomic region that has been sequenced) with sequencing depth (the number of times a base or genomic region has been sequenced).

      For the sex-linked primers designed by the authors - I would recommend development of an internal positive control that would be expected to amplify in both sexes and be easily distinguishable from the sex-linked locus by size or fluorescent label. This allows the users to distinguish between failed PCRs and identification of the homogametic sex. This is especially important because the fish selected for marker development were collected from a relatively small portion of the species' distributions (Figure 1) so there could be population-specific differences that affect reliability of these markers for identifying sex. This is a problem I regularly encounter in my own work for wide-ranging species.

      I was also surprised that the authors did not conduct a GWAS analysis. That seems to be a fairly typical analysis included in studies of this type to elucidate sex-linked SNPs. It would add to an already extensive manuscript; however, this could add an additional argument for splitting this manuscript in two. It would provide more space to include it in a more focused manuscript.

      The results section contains many statements that would be more appropriate in the Methods section, or could be deleted entirely because they are redundant with statements already present in the Methods section. Additionally, there are some sentences that are more appropriate for inclusion in the Discussion section because they are interpretive. I have included examples under the 'Minor comments' section of this review. Some of the material presented as results in the Supplementary tables is presented in a confusing manner, and appears to contain errors (see examples in 'Minor comments' section below).

      The first several paragraphs of the Discussion section either repeat material already covered in the Results section, or go on tangents that are not directly related to the main purpose of the paper. However, some of it could be more appropriate to include in a genome report if the authors split the manuscript in two.

      Given the above issues, I find that the paper needs extensive editing and possibly more analytical work (if some of the methodological deficiencies were overlooked in the analysis phase as well as the writing phase of this project). It is unlikely this work could be accomplished in the normal window for a revision. Therefore, I regrettably suggest rejection of the manuscript.

      Finally, I have no meaningful experience with FISH probes or chromosomal painting so unfortunately, I can't provide much comment on those portions of the paper.

      Minor comments: Line 291: please provide specific version number for Hisat2 Line 319: version numbers for D-Genies and SyRI missing Line 331: version number for NGenomeSyn missing Line 439-440: Authors provide N50 values, but the paper would benefit from providing some additional metrics, such as N90 and L90, to help readers gauge the contiguity of these genomes. Line 442 - 443: I'm having a hard time understanding how the authors are calling these 'chromosome-level' assemblies when nearly a third (>30%) of the genome of two species (C. tanaitica and C. elongatoides) could not be assembled into chromosomal scaffolds. Line 457 - 458: Either the term 'topologically associated domains' is missing, or the authors need to remove the parentheses from around TADs if it was defined earlier in the manuscript. Line 470: change 'less' to 'fewer' Line 483 - 486: The statements that observed patterns of repeat families 'suggest' something are interpretive and should be moved to the discussion. Line 499 - 500: This sentence repeats content of the methods section. I suggest deleting it. Line 540 - 564: If I am understanding correctly, the discussion of 'coverage' here would be more accurately described as 'depth' since the authors seem to be talking about average sequencing depth in different areas of the genome. Furthermore, authors never provide untransformed measures of sequencing depth in any context (the initial genome assemblies, pool-seq data, re-sequenced individuals, etc.). Therefore, it is difficult to determine if the differences being discussed here are derived from data with enough statistical power to measure differences in sequencing depth between male and female fish. Lines 614 - 619: This could be explored with GWAS Lines 635 - 641: Much of this paragraph is a description of methods and belongs in the Methods section. Lines 664 - 667: Much of this is interpretive - more appropriate for the discussion. Lines 700 - 711: This paragraph has little or no relevance to the main topic of this paper (hybrid meiotic failure). Line 745: remove "loci's" Line 813 - 815: PMER was already defined earlier in the paper. Line 854: I suggest removal of "the first of their kind in an asexually reproducing vertebrate," because such statements rarely age well, and the concept behind the paper is interesting enough to stand on its own without pointing out the novelty of it being the 'first' time it was detected. References section: Capitalization of article titles varies from one reference to the next. Scientific names are sometimes italicized; other times they are not. Table 2: 'L50' and 'Number of Chromosomes' are always going to be integers. Why are there two significant digits to the right of the decimal point? Supplementary Figure S2: 'Cobitis' should be italicized. Supplementary Table S7: This table presents pre- and post-HiC values in a confusing manner that is nonsensical and probably erroneous. For example, the N50 values seem problematic. How do you have a 154 Kbp pre-HiC N50 contig value for C. elongatoides, but a 154 Mbp post-HiC N50 contig value for the same species? This is longer than the longest reported chromosome for any species (C. taenia) in Supplementary Table S8 (99 Mbp). Supplementary Table S10: I don't know what the percentages in line 33 refer to?

    1. Plagiarism is the act of misrepresenting someone else’s work as your own.

      Simple as that! Whether you're paraphrasing or using direct quotes, always make sure to cite!

    2. Your research paper presents your thinking about a topic, supported and developed by other people’s ideas and information, so it is crucial to always distinguish between the two

      Have your main idea and find supporting information to make your research paper stronger.

    3. When you do choose to quote directly from a source, follow these guidelines: Make sure you have transcribed the original statement accurately. Represent the author’s ideas honestly. Quote enough of the original text to reflect the author’s point accurately. Never use a stand-alone quotation. Always integrate the quoted material into your own sentence by creating a signal phrase. Use ellipses (…) if you need to omit a word or phrase. Use brackets [ ] if you need to replace a word or phrase. Make sure any omissions or changed words do not alter the meaning of the original text. Omit or replace words only when absolutely necessary to shorten the text or to make it grammatically correct within your sentence. Write away from the quote. Create an original sentence following the quote that introduces the connection you are making between your argument and the quoted material. Include correctly formatted citations that follow the assigned style guide.

      Important guidelines to follow.

    4. No process is right or wrong; find the one that best suits you.

      You'll be most successful when you're authentic and write in your preferred writing style. Just make sure to follow the guidelines!

    5. The introduction should grab the readers’ attention, provide background information, and present the writer’s thesis.

      Think about your intended audience and put yourself in their shoes. What would capture your attention?

    6. although transferring your ideas and research into words is exciting, it can also be challenging.

      This is why it’s important to research and write about something you’re actually interested in! It might be challenging, but it’s worth it when you enjoy learning and researching about the topic.

    1. Code is upstream of all other applications because it's the core building block for any piece of software, so AI's accelerating impact on code should accelerate every other domain.

      「代码是所有其他应用的上游」——这是整篇报告最具战略眼光的一句话。AI 对编程的渗透不只是一个行业的故事,而是所有行业 AI 化的基础设施升级。当构建软件的成本下降 10 倍时,所有依赖软件的垂直行业的 AI 工具建设成本也随之下降。这解释了为什么编程 AI 的爆发不只是「一个热门赛道」,而是整个 AI 产业链的放大器。对智谱 AI 的启示:代码能力的提升是所有企业 Agent 场景的先决条件。

    2. if AI can do only 50 percent of a human's tasks, the importance of the non-automatable tasks likely goes up since they become the bottlenecks, increasing their relative value.

      「部分自动化悖论」:当 AI 完成一半工作时,剩余不可自动化的工作反而变得更重要、更值钱——因为它们成了生产的瓶颈。这意味着 AI 的局部进展可能不会均匀地分配收益,而是集中在那些「恰好不能被自动化」的稀有能力持有者身上。这是一个对「AI 替代论」的精妙反驳,也是理解「AI 时代哪种技能更值钱」的正确框架。

    3. Support teams are high volume and high turnover, and thus need to train new reps in a fast and standardized way. To do so, they have clearly articulated standard operating procedures (SOPs) that guide the work of each rep. These SOPs create clear rules and guidelines that AI agents can model themselves off of.

      AI 在客服领域成功的秘密竟然是:这个行业为了管理人类员工的高流失率,被迫建立了极其清晰的 SOP 文档——而这恰好是训练 AI Agent 的完美素材。这是一个意外的历史巧合:企业因为人类问题(高离职率)被迫文档化了所有流程,然后 AI 来了,直接把这些文档变成了自己的「培训手册」。低价值工作被最彻底地文档化,反而最容易被 AI 替代。

    4. because coding has a tight human-in-the-loop workflow, with developers still overseeing the development process today, these tools enable accelerated output while still making space for human judgment to review, edit, and iterate.

      「人在环路」是编程 AI 爆发的关键因素,而非阻碍。这个洞见颠覆了常见的「人机协作摩擦论」:恰恰是因为开发者需要审查代码,AI 生成的错误有人把关,企业才愿意大规模部署。这说明 AI 在「可验证 + 人类兜底」的领域最容易突破——其他领域想复制这个成功模式,需要先建立同等的验证机制。

    5. Coding is the dominant use case for AI by nearly an order of magnitude.

      「比第二名多了将近一个数量级」——这句话说明企业 AI 市场目前几乎等同于「编程 AI 市场」。Support、Search 加在一起,可能也远不及 Coding 一项。这个数据的深远含义是:当前所有关于「AI 正在改变哪些行业」的讨论,其实主要在说软件工程这一个领域。其他行业的「革命」大多还停留在叙事层面,而非收入层面。

    6. 29% of the Fortune 500 and ~19% of the Global 2000 are live, paying customers of a leading AI startup.

      令人震惊的渗透率:三年内,近三分之一的财富 500 强已经是 AI 创业公司的付费客户——而且是真实部署、而非试点。这打脸了 MIT「95% AI 试点失败」的结论。更值得注意的是「qualify」的定义:必须签署顶层合同、完成试点转化、在组织内上线。这三个条件滤掉了大量「假采用」,说明这 29% 是真金白银的生产级部署。

    1. When you're thinking about what tasks to hand over to your agent, start with the papercuts—small recurring annoyances that add up over a day.

      「从小痛点开始」——这是整篇文章最有操作性的一条建议,也最反直觉。大多数人在考虑 AI 时会想「它能帮我做什么大事」,但 Every 的实践告诉我们:真正的效率革命来自消除每天数十个 2 分钟的摩擦点。这与「原子习惯」的逻辑完全相同:不是做一件大事,而是把一百件小事自动化。AI Agent 的最大价值可能不在于完成宏大任务,而在于彻底消除所有「本不应该是人做」的工作。

    2. Ask five people at Every where their Plus One falls on the tool-to-coworker continuum and you'll get five different answers.

      同一家公司、同样密集使用 AI 的五个人,对「AI 是工具还是同事」有完全不同的答案——而且使用频率与这个判断无关(Austin 用 Montaigne 最多,却坚持视其为「工具」)。这说明人类对 AI 的认知框架不是由使用量决定的,而是由个人哲学和心理边界决定的。这个多元共存的现象将是未来 AI 工作场所最复杂的管理挑战之一。

    3. Agents gain credibility by doing. The fastest way to get other people to trust and use your Plus One is to have it execute tasks in public.

      「AI 通过公开执行任务获得信任」——这个发现颠覆了传统的工具推广逻辑。通常新工具靠演示或培训推广,但 Montaigne 的案例说明:AI Agent 的最佳「推销方式」是让它当众做到事情。这与人类职场的信任建立机制高度相似——新员工也是通过公开完成任务获得同事信任的。AI 正在复现人类职场的社会动力学,这令人不安又令人着迷。

    4. We're writing the etiquette in real time.

      「我们正在实时编写礼仪」——这句话是整篇文章最深刻的元洞察。Every 不只是在使用 AI,他们在做的是为「人机协作时代」制定行为规范。当向 R2-C2(AI)还是向 Dan(人类)反馈 bug 成为一个需要思考的问题时,说明社会还没有这套礼仪。Every 是在用自己的公司做田野调查,而这份调查的结果将影响未来数十年的工作文化。

    1. In UTAUT, Venkatesh extended TAM by incorporating two constructs not directly related to a system's perceived properties, but derived from external aspects: social influence and facilitating conditions. Additionally, UTAUT posits four mediating factors that moderate the impact of each key construct on usage intention and behavior, namely gender, age, experience, and voluntariness of use.

      sentences that implicitly or explicitly mention theory

    2. While our key focus is to build a theoretical model that explains the process through which older adults accept (or reject) mobile technology, which can provide theoretical guidelines when designing a technology, and which may also be able to generate new investigations and experiments.

      sentences that implicitly or explicitly mention theory

    3. Azjen's theory of planned behavior [1, 2] posits that a specific behavior is the result of an intention to carry it out, and that intention is determined by attitudes, norms, and the perception of control over the behavior. Drawing upon this theory of planned behavior, Davis et al. developed the technology acceptance model (TAM) [10].

      sentences that implicitly or explicitly mention theory

    4. To summarize, existing models of technology acceptance can provide a partial explanation of older adults' behaviors of mobile technology acceptance. However, we also identified critical elements that are not represented in the existing models. Components in red boldface in Figure 3 provide a preview of the new elements we have identified and their relationship to the components proposed in earlier models.

      sentences about extending existing theoretical models with research findings

    5. by triangulating our empirical findings with existing theoretical models from the literature, we found out that the existing models of technology adoption require new theory components to be able to describe technology adoption processes of our participants. In particular, we identified an additional phase that is prominent among the participants, intention to learn, but did not appear in prior models. Then, we identified three new factors that significantly influence their technology acceptance but which are, again, not represented in the existing models: self-efficacy, conversion readiness, and peer support.

      sentences about extending existing theoretical models with research findings

    6. we found out that the existing models of technology adoption require new theory components to be able to describe technology adoption processes of our participants. In particular, we identified an additional phase that is prominent among the participants, intention to learn, but did not appear in prior models. Then, we identified three new factors that significantly influence their technology acceptance but which are, again, not represented in the existing models: self-efficacy, conversion readiness, and peer support.

      sentences about extending existing theoretical models with research findings

    1. n the final step of the research writing process, you will revise and polish your paper. You might reorganize your paper’s structure or revise for unity and cohesion, ensuring that each element in your paper flows into the next logically and naturally.

      Always check for mistakes before finalizing research.

    2. Knowing how to write a good research paper is a valuable skill that will serve you well throughout your career. Whether you are developing a new product, studying the best way to perform a procedure, or learning about challenges and opportunities in your field of employment,

      In most jobs each indvidual is usually conducting research.

    1. Then, by triangulating our empirical findings with existing theoretical models from the literature, we found out that the existing models of technology adoption require new theory components to be able to describe technology adoption processes of our participants.

      sentences about extending existing theoretical models with research findings

    1. None who fish In the tiny stream that drains out into a ditch Can ever fish up a pearl.

      Metaphor → meaning is rare / inaccessible Suggests futility or limitation of human search

    2. Boys who were in love with me even now Linger with the very unkempt hair and lanky legs

      vivid description of youth years, boys in an alley, "unkempt hair" when she was younger

    3. A pair of cherries as ear-rings And dress my nails with dahlia petals

      Beautification, the yearning to beautify yourself, inability to express that

    4. Life may be a cigarette lighting Up in the narcotic pause between

      Sensory imagery (touch, sight) “narcotic pause” → time slowed / altered state Love reduced to momentary, physical experience

    1. The human's job is to curate sources, direct the analysis, ask good questions, and think about what it all means. The LLM's job is everything else.

      【启发】这句话是对未来知识工作分工的最清晰定义:人负责「品味、方向、意义」,AI 负责「执行、维护、连接」。这不是「AI 替代人」的叙事,而是「AI 承担所有繁琐工作,人专注于真正重要的判断」。对团队 AI 工具设计的启发:最好的 AI 工具设计应该让人的时间 100% 用在「只有人才能做的事」上——而这个边界,正在随着 AI 能力的提升不断向内收缩。

    2. The idea is related in spirit to Vannevar Bush's Memex (1945) — a personal, curated knowledge store with associative trails between documents. The part he couldn't solve was who does the maintenance. The LLM handles that.

      【启发】Karpathy 把 LLM Wiki 定位为 1945 年 Memex 愿景的实现——80 年前 Vannevar Bush 描述了「个人知识存储与关联路径」的理想,唯一未解的问题是「谁来维护」。LLM 解决了这最后一块拼图。这个历史视角的启发是:很多「未来技术」其实早已有完整的概念框架,缺的只是执行层的突破。识别这类「概念成熟但执行缺位」的领域,是找到 AI 最有价值应用场景的方法论。

    3. Think of fan wikis like Tolkien Gateway — thousands of interlinked pages covering characters, places, events, languages, built by a community of volunteers over years. You could build something like that personally as you read, with the LLM doing all the cross-referencing and maintenance.

      【启发】把「托尔金百科全书」这种社区多年协作成果,变成个人可以独立构建的成就——这是 AI 赋能个人最令人振奋的愿景之一。它意味着「知识深度」不再是团队规模的函数,而是「持续投入时间」的函数。对 AI 硬件和个人工具设计的启发:未来最有价值的个人 AI 工具,可能是「让一个人产生团队级知识密度」的系统。

    4. Humans abandon wikis because the maintenance burden grows faster than the value. LLMs don't get bored, don't forget to update a cross-reference, and can touch 15 files in one pass. The wiki stays maintained because the cost of maintenance is near zero.

      【启发】这句话精准定位了 LLM 的「比较优势」所在:不是创造力,不是洞察力,而是「永不厌倦的维护」。人类知识库失败的根本原因是维护摩擦——而这恰好是 LLM 最擅长的。这对所有知识密集型组织的启发是:凡是人类会因「太繁琐而放弃」的知识维护任务,都是 LLM 的最佳应用场景。

    5. good answers can be filed back into the wiki as new pages. A comparison you asked for, an analysis, a connection you discovered — these are valuable and shouldn't disappear into chat history.

      【启发】「探索本身就是知识」——这个洞见解决了对话 AI 的最大损耗问题:每次有价值的对话结束后,洞见消失在聊天记录里。LLM Wiki 把「问答」变成「知识入库」的触发器。对 AI Buzzword 频道的启发:每次深度讨论后,应该让 AI 把关键洞见直接写入 Wiki,而不是让它沉没在对话历史里。

    6. Obsidian is the IDE; the LLM is the programmer; the wiki is the codebase.

      【启发】这个比喻极具启发性:把知识库管理类比为软件工程——Obsidian 是 IDE,LLM 是程序员,Wiki 是代码库。这个框架的深远意义是:知识工作可以借鉴软件工程的全套工具链——版本控制(git)、代码审查(lint)、持续集成(自动 ingest)、重构(wiki 清理)。知识管理的「工程化」不是比喻,而是字面意义上可操作的。

    7. the wiki is a persistent, compounding artifact. The cross-references are already there. The contradictions have already been flagged. The synthesis already reflects everything you've read.

      【启发】「复利型知识资产」——这个概念彻底改变了知识工作的经济学。传统笔记系统的价值随条目增多而线性增长,而 LLM Wiki 的价值随每次 ingest 指数级增长,因为每篇新内容都会更新所有相关页面、标注矛盾、强化综合。对个人知识管理的启发:真正的知识护城河不是「读了多少」,而是「知识之间的连接有多深」——而 AI 正好擅长维护这种连接。

    8. Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki — a structured, interlinked collection of markdown files that sits between you and the raw sources.

      【启发】这句话从根本上重新定义了 LLM 与知识的关系:从「查询时召回」升级为「持续编译」。RAG 是每次临时拼凑,而 LLM Wiki 是把知识「编译」成可积累的中间层。对 AI 产品设计者的启发是:真正有价值的 AI 工具不是搜索引擎,而是「知识编译器」——每次交互都在为下次交互铺路,而不是从零开始。

    1. While that is of concern, it raised a wider issue where there may be insufficient clarity: at what point or with what type of contribution would it become incumbent on a researcher to acknowledge the input of Generative AI? Is the inclusion of AI-generated text the appropriate boundary?

      The question of "When should one acknowledge the input of Generative AI" is again a pretty open question, but for now it feels fair to state "When AI is used to help with the article, or write, or has any input, in which case one should disclose what the AI helped with or wrote and to what degree.".

    2. Many HEIs recommend the use of Microsoft Bing Co-pilot as any information inputted into the chatbot can be ringfenced to within that institution as part of their Microsoft subscription,

      (Part 1 of selected quote + Data) (2)

      One must consider that companies, again, don't often consider morality, unless the "m" in morality stands for "money". Microsoft may just be saying that to collect more data, what they do with that data is past what I could know.

    3. ‘It depends’ was a commonly used phrase:I think it depends what you’re using it for. If you’re asking it to write something from scratch, which you would then use in your work, then it’s not your own writing/creation, so I find that completely unethical. In terms of editing, I believe it is acceptable because I am inputting my own text.Depends how they are using AI. If it’s for writing, then that’s problematic. However if it’s a support tool then cannot see this as an issue (although cannot be relied upon).The conclusion reached by some was that clear guidance was needed quickly:I am not aware if the university has a policy on the use of AI in doctoral research/writing (or indeed at any other levels of study at the institution). If it has, it needs to be publicised more widely, and if it hasn’t got one, it needs to create one pronto!

      Problems are rarely if ever solved by solely one end of the spectrum or the other. Context is key. In this case, it depends how one uses the AI, what situation it is being used for, and why they're using it.

    4. Because AI is trained on the works of others with no citations which in a way could be considered a form of plagiarism except even the author does not know what the original source is.I’ve never been able to view Gen-AI as something that magically “produces” content, but instead as a commodified theft of other people’s content.However, the most common ethical concern mentioned was in the opposite direction: the worry of LLMs retaining researchers’ inputted material and using it to reply to other users’ queries. These concerns included issues of both intellectual property and data-security:Since Generative AI is a deep-learning model, which produces answers/solutions based on the big data that it has collected (also I assume that the AI would not yet be able to filter information such as personal data), we cannot certainly say that using AI for doctoral research is free from a risk of personal data breaches.My concern would be that my original research findings then become part of the general information online. This may impact on my ability to publish.

      Because of a mixture of legally questionable sourcing (AI works off of what is online, sometimes not even citing) and legally questionable data control, (The companies that run these LLMs have an incentive to keep the data given to them, as it is worth money. Regardless of what they say they do with the data.) conversing with an AI on one's original work or having it create text for you carries the risk of it either plagiarizing off of the user, or the user accidentally plagiarizing off of someone else's work due to the AI's nature.

    5. Much like use of Generative AI in research support, using such tools in the process of doctoral writing uncovered a spectrum of what was considered appropriate boundaries of use. There seemed to be a consensus that Generative AI should not be used to create large amounts of text for the author, as that would denigrate their credibility as a developing scholar. However, the use of Generative AI for functional language checks and to make adjustments to pre- written work with the aim to ‘improve’ it for an academic audience was deemed more acceptable

      It seems I have reached the same consensus that most have reached: LLMs should not be used in place of the writer, but instead in the ways it can work as a tool. (Though, I do find it questionably reliable to trust an AI to "improve" one's writing, because of the previously mentioned quality issues.)

    6. ‘improving’ their writing, particularly regarding conciseness, grammar, and achieving an ‘academic tone’:I use ChatGPT to double check my writing. I have an open tab where I have trained GPT to understand my style of writing. There I ask ChatGPT to read paragraphs or sections of my work, and give me an improved version that is clearer, more engaging, yet academic.I have submitted previously written paragraphs to GPT with a set of specific instructions to proof-edit the text in order to shorten sentences and/or make them more readable based on the specified criteria.Here, again, are allusions to efficiency – some respondents ‘training’ ChatGPT to understand their writing style or using ‘specific’ prompts to generate a desired output, whereas others would take output and rewrite it to ensure it maintained their linguistic ‘style’. Some respondents were more critical of Generative AI’s ability to produce anything that was stylistically distinctive (or functional) and went beyond surface-level:. . . the current ChatGPT is very waffle-y so I think it’s quite obvious AI is being used and makes everyone’s work sound the same.I’m less interested in the plagiarism arguments around this stuff than a) the fact that every-thing it outputs is utter shite (meaningless drivel, structurally flimsy, stylistically awful).

      (Part 2 of selected quote + Data) (1)

    7. Generative AI was perceived as a useful editor for a PGR’s work, particularly where English may not be their first language. It was used less frequently to generate text beyond basic planning. Respondents who used Generative AI for writing felt that it was helpful for 200R. ENGLISH ET AL.

      (Part 1 of selected quote + Data) (1)

      It is claimed here that Generative AI could serve as an editor for writers, especially those who learned English as a second language. However, again, there are problems with that.

      As is inherent with AI, at least in its current state, it is prone to making errors or missing specific parts of language or slang. Additionally, in the context of writing something with a specific style, AI is overwhelmingly prone to slowly "forgetting" what you asked of it. That includes if one asks it to write a certain way. If one simply never reminds the LLM, or can't tell that it returned to it's normal tone, (One of questionable quality for good writing.) the user could end up spending a ton of time having the AI write something in its style, instead of having it write that in their style. Arguments as to this being acceptable or not aside, what LLMs often produce is indeed sometimes "utter shite".

    8. The other frequently cited use of Generative AI in research tasks was its use to generate programming code. Respondents cited using Generative AI to help with R programming language. Again, this was framed as time-saving:It speeds up programming (proposes new lines, which saves time on typing, can write a piece of generic code from a simple prompt). It can also sometimes solve errors.I have also used ChatGPT to help me write code (R and JavaScript). e.g. I wanted to create a nice-looking output table for some descriptive statistics and I didn’t know how to do this.Simply reducing the time it takes to type out code is a benefit, particularly if the prompt is short. In producing visually pleasing outputs that may be difficult or time-consuming to realise, Generative AI was felt to lessen learning time and speed up outputs. This further extended to Generative AI fixing code:[Fixing] my coding errors in a way that maximises amount of time that I can spend on my research rather than trying to fix coding bugs.

      The use of LLMs to generate code could possibly be useful at lower levels, but when one is trying to make something complex, the amount of time it takes for the AI to not make some error of some kind is exponentially higher. In order to fix these things, one would have to have enough coding knowledge to know how to write the code and where an error may be. At that point, it would probably be faster to just write out the code itself instead of prompting an AI for something that could very much have an error or two or three or more. The time sink from fixing those errors probably outweighs the time gained through asking an AI to write the code for you. Additionally, a LLM could end up using an inefficient method that works in the short term, but causes problems in the long term, which one might miss until it's too late.

    9. It is not clear how much time is saved by the individual when they are having to double- check ChatGPT output to ensure reliability, or whether this considerably outweighs using another tool for the job.

      The funny part is, this could vary significantly depending on what sources are the most popular or pop up first, or if the topic itself has a lot of research done on it. It could save a large amount of time, or it could be a complete waste of time, if the AI happens to completely hallucinate all of its information.

    10. There was awareness, however, that the output of some Generative AI tools regarding references may not be ‘real’:I experimented with asking chat GPT about what follow-up papers had been written on a first paper. I realised very quickly it made papers up.

      This is exactly why I would not trust the word of a LLM in their current state, especially not for important tasks. Imagine having to rely on a colleague that makes up stuff half the time for the sake of it, and rarely if ever properly fact checks their work.

      I have to say there is a weird irony in it. There is an inherent risk formed if one can't fact check what an AI produces, because the AI won't bother to fully fact check itself. Negligence all the way down

    11. A few participants also raised the possibility of Generative AI as something that could help level the playing-field for PGRs who would otherwise not have the advantages available to others:I think this technology has a range of huge applications in research, specifically for disabled researchers, and researchers who work in institutions with less administrative support than others.

      It is said that a participant argued here that LLMs could be useful for those with disabilities. To which I must ask a question: How does this help those people in particular? Sure, when used as a tool or as another point of view and not as something to solve the problem entirely, it could help them as it would help anyone. But I can't think of any specific disability that LLMs would reasonably help with more than average in the workplace.

      Though, I do agree it could help those with less support from the administration, albeit at most slightly more than average. This is due to the AI filling the empty role of another perspective, somewhat making up for the loss caused by an unsupportive administration.

    12. The most used word to describe the technology was ‘tool’ (46 times in free-text responses) with many PGRs viewing Generative AI as simply a technological resource like any other:This is a tool, the same as Word, Excel, Google, WhatsApp, YouTube and others.It’s a tool – like Word or Excel. If trained properly, it can be used for any purpose.

      LLMs are indeed often described as tools and can also be used as tools. The difference to something like a calculator, again, is that you can't just put any question you want into a calculator in about any format and possibly get a correct (?) end result. To use a calculator you have to at least understand the basics behind what calculations you're inputting. With a LLM, you could just screenshot a problem or a question and have it do... everything. Oftentimes, incorrectly, and the said AI won't tell you "This could be incorrect, or is based on questionable data" a vast majority of the time. Essentially, one could get to the point where they have a problem that the AI cannot produce a reliable answer for. Because of this, if the user lacks the knowledge to solve the problem themself, they simply cannot fix the issue at hand.

    13. None of the seven PGRs who included such text in the work submitted for doctoral assessment reported that they made it clear to the reader that Generative AI tools had been used (six reported they did not, one answered ‘not sure’) (See Table 3).

      Interesting that of the 7 people who did use AI in their work they submitted for doctoral assessment, none of them disclosed their usage. (Well, one was unsure, but I would say that leans pretty far towards "Did not disclose/make clear") I have to wonder, of those who used AI in their work, what percent actually checked what the AI gave them?

    14. No Generative AI tools were used in the research or writing of this paper

      Don't have much to comment on in this section, being the methods used. Though, it is interesting how the use or non-use of AI is often mentioned now.

    15. There is more uncertainty regarding where and when LLMs can acceptably assist with writing academic research. Where are the lines to be drawn between using Generative AI to improve the standard of a researcher’s writing, generating an abstract from an already written article, contributing to body text or even being credited as a co-author (Dwivedi et al., 2023; Tlili et al., 2023)? The fundamental difference between the questions sur-rounding the use of Generative AI by taught students and those concerning researchers, be they staff or postgraduate, is the issue of originality. LLMs can create an apparently ‘new’ piece of writing but, in reality, are simply predicting the most appropriate sequence of words from existing text in their database, adjusted based on interactions with the user (García-Peñalvo, 2023).

      There is plenty of controversy as to what is acceptable usage of artificial intelligence, and what is not.

      I doubt there is an exact line to be drawn, the "placement" should vary depending on the situation. If there had to be one, I would argue it's the question of "Are you the one doing the actual work and making ideas, or is the AI?"

    16. McDonald et al., 2024

      McDonald's is a large brand, and so would likely run on different goals compared to an education system. Whatever makes them the most money. Though, it is true that many places are incorporating AI.

    1. ···

      The self-referential loop is already formalized:

      inductive KernelReduction where * | beta -- Interaction (S-matrix application) * | delta -- Measurement (definition unfolding) * | iota -- Quantum branching (constructor pattern match) * | zeta -- Decoherence (let-binding fixation) * | eta -- Gauge invariance (extensional equality)

    2. bit

      pun intended

      • Every proof session IS a physical process (Layer 1: Computation)
      • that generates bits of information (Layer 2: proved sorrys)
      • that formalize the laws governing the computer running it (Layer 3: Physics)
    1. The method of proof here is truly amazing. If the generalized Riemann hypothesis is true, then the theorem is true. If the generalized Riemann hypothesis is false, then the theorem is true. Thus, the theorem is true!!

      |true|

    1. Consistently, the indoor environmental quality, shape and layout of the buildings, use of color clear distribution organization of spaces, ease of orientation, and adequate visual contact with the outside contribute to defining more adequate conditions of well-being for humans. Unfortunately, the combination of IEQ and functional issues of the built environment is not considered with the risks of unbalanced solutions in cases of both new and existing buildings. Therefore, most literature about university campuses is focused on the evaluation of only IEQ (e.g., objective, subjective, and integrated investigations) and related impact on work and learning performances

      This passage highlights an important issue in building design research, especially in university environments. I agree that factors like layout, color, spatial organization, and visual connection to the outside all play a key role in occupant well-being, not just IEQ alone. It is concerning that many studies focus only on environmental quality while ignoring functional and spatial aspects, which can lead to incomplete or unbalanced design solutions. A more integrated approach is needed to fully support health, comfort, and learning performance in built environments.

    2. The relationship between the quality of the architectural space and IEQ is a topic that is acquiring growing importance in the disciplinary debate. This implies an anthropocentric approach to the indoor built environment design in compliance with the basic principles of ergonomics/human factors [15,16,17]. This is especially because the indoor environment has a potential impact on occupants’ health and productivity, affecting their physical and psychological conditions

      This passage rightly emphasizes the strong link between architectural quality and Indoor Environmental Quality (IEQ). I agree that an anthropocentric, ergonomics-based approach is essential because indoor environments directly affect both physical health and psychological well-being. Good design is therefore not just about aesthetics or structure, but also about improving comfort, productivity, and overall quality of life for occupants.

    3. The scientific and industrial revolutions and the subsequent technological progress resulted in the breaking of the balance between man and nature up to climatic changes, whose effects are starting to be irreversible [1]. To restore that equilibrium, specific solutions aimed at saving energy in buildings are necessary. Hence, the stringent need to build NZEB (Nearly Zero Energy Building) [2,3,4,5,6,7], whose design requires a holistic approach based upon the principles of sustainability.

      This passage clearly explains how industrial and technological progress has disrupted the natural balance, contributing to climate change. I agree that adopting Nearly Zero Energy Buildings (NZEB) is a crucial step toward reducing energy consumption and environmental impact. It’s also important that the design approach is holistic, considering not just energy efficiency but also materials, user behavior, and overall sustainability. This makes the solution more effective and long-term in addressing environmental challenges.

    4. A methodology focused on the subjective evaluation of the IEQ giving relevance to users and their fruition needs is also proposed. Main findings from a specific subjective investigation carried out at the Fisciano Campus of the University of Salerno (Italy) demonstrate that the subjective approach is a valuable tool to make more sustainable intervention strategies.

      This approach is particularly strong because it shifts the focus from purely technical measurements of Indoor Environmental Quality (IEQ) to the actual experiences of the people using the space. I think emphasizing subjective evaluation is very important, since comfort, satisfaction, and usability can vary widely between individuals and cannot always be fully captured through objective data alone. By giving importance to users’ needs and how they interact with the environment, the methodology becomes more practical. The findings from the case study at the University of Salerno further support this idea, showing that user feedback can directly inform more effective and sustainable interventions. In my opinion, combining subjective insights with technical assessments can lead to better decision-making, ensuring that renovations not only meet environmental standards but also improve occupant well-being and functionality. Overall, this reinforces the value of integrating user perception into sustainable building design and management.

    5. Indoor built environments’ design and management require a holistic approach inspired by ergonomic principles and sustainability criteria. This is especially in case of renovation of existing buildings where any kind of intervention requires the direct feedback of occupants. This work deals with two aspects of these issues, often studied separately: the quality of interior spaces, in terms of Indoor Environmental Quality (IEQ), and the quality of the architecture in terms of orientation and wayfinding.

      This statement highlights an important and often overlooked connection between environmental comfort and user experience in buildings. I think it is especially valuable that it emphasizes a holistic approach, combining ergonomic principles with sustainability, rather than treating them as separate goals. In many cases, building design focuses heavily on technical performance, like energy efficiency or air quality, while neglecting how people actually interact with and navigate the space. By linking Indoor Environmental Quality (IEQ) with orientation and wayfinding, the approach recognizes that a truly effective indoor environment must support both physical comfort and cognitive ease. I also agree with the point about involving occupants, particularly in renovation projects. Existing buildings come with real users who have lived experiences, and their feedback can reveal practical issues that design standards alone might miss.

    1. This case brought out into the open the problems of requests for euthanasia andassisted suicide by psychiatric patients, and so it is to Dr. Van Gaal that we turn next

      some rewording needed

    Annotators