6 Loại Vitamin Tuyệt Đối Không Nên Tự Ý Bổ Sung

https://www.youtube.com/watch?v=DEvJSu7VPfs 6 Loại Vitamin Tuyệt Đối Không Nên Tự Ý Bổ Sung: Calcium carbonate, D2 ecocalciferol, B12 cyanocobalamin : https://www.webmd.com/drugs/cyanocobalamin; acid folic (vs. Folate) => nguyên nhân của ung thư, giảm hệ miễn dịch, bệnh kéo dài dai dẳng. Đột biến gene MTHFR ( MTHFR stands for methylenetetrahydrofolate reductase, a gene that makes an enzyme used to process folate (vitamin B9). Common variants like C677T and A1298C affect up to 50% of people. Major medical groups do not recommend routine testing for these common types because they rarely cause health problems or change medical treatment); Vitamin A nhân tạo có trong kem dưỡng da, tích tụ nơi gan nhiều độc tố, dị tật cho thai nhi, cản trở hấp thụ vit D và calci,tránh xa chất retin paramitate hay retin acetate, magnesium oxide, không có giá trị và gây iêu chảy.

Ẩm Thực và Sức Khoẻ Cho Người Cao Niên

https://www.youtube.com/watch?v=A6wr6GvhAQw Muốn Sống Thọ Cứ Ăn 8 Món Này Hết Thiếu Máu Não, Đau Đầu Chóng Mặt, Rối Loạn Tiền Đình: cháo trứng, canh ngải cứu, trà ngải cứu, (soup) hành tây vài lát hành trong salad; đậu nành, canh đậu phụ với nấm, cá béo (cá thu, cá hồi, cá mòi), dâu tằm, hạt óc chó, Vừa phải, đều đặn. Không nên ăn quá nhiều một lần. NỘI DUNG CHÍNH 00:00 - Giới thiệu nội dung 00:19 - Những dấu hiệu thường được cho là máu lên não không đủ 00:43 - Vì sao một số vấn đề não bộ khó nhận biết sớm? 01:19 - Những biểu hiện nhẹ nhưng không nên chủ quan 02:09 - Sai lầm khi tự ý dùng thực phẩm bổ sung 03:28 - Rủi ro khi lạm dụng sản phẩm không rõ nguồn gốc 04:11 - Không coi thường những tín hiệu bất thường của cơ thể 05:02 - Vai trò của bữa ăn và giấc ngủ 05:30 - Trứng gà trong chế độ ăn uống hằng ngày 19:34 - Năm thói quen hỗ trợ sức khỏe não bộ và mạch máu https://www.youtube.com/watch?v=fyLVMWok2kM KHÔNG THỂ TIN ĐƯỢC: Đây là 5 loại trái cây âm thầm đẩy người già vào nguy cơ ĐỘT QUỴ : không tiêu thụ trái cây chín, ngọt, béo về đêm (sau 7g tối) Sầu riêng (nhiều calori, đường, mỡ, Kali cao), nho (không tiêu thụ vào ban đêm vì hàm lượng đường quá cao); chuối chín, trái vải, mít chín. Gan, tụy và thận suy giảm theo tuổi tác nên càng phải tránh dùng các trái cây này https://www.youtube.com/watch?v=Y0HOVsmGEko Hâm Lại 4 Món Ăn Này, Bạn Đang Âm Thầm Nuôi Tế Bào UNG THƯ https://www.youtube.com/watch?v=dX4LE0Nr_Qo Loại Gia Vị Này Có Thể Gây Đột Quỵ Chỉ Sau Một Đêm

The real reason many Americans are cutting ties with their parents and siblings

https://theconversation.com/why-do-some-moms-cut-ties-with-their-kids-46453 Why do some moms cut ties with their kids https://theconversation.com/as-more-americans-go-no-contact-with-their-parents-they-live-out-a-dilemma-at-the-heart-of-shakespeares-king-lear-239916 As more Americans go ‘no contact’ with their parents, they live out a dilemma at the heart of Shakespeare’s ‘King Lear’ https://theconversation.com/the-real-reason-many-americans-are-cutting-ties-with-their-parents-and-siblings-283957?utm_source=firefox-newtab-en-us The real reason many Americans are cutting ties with their parents and siblings Published: August 17, 2026 8:37am EDT The path to estrangement is usually gradual, marked by mounting tensions and unresolved conflicts. Nick Lehr/The Conversation via ChatGPT Luna, 26, no longer speaks to her father. There was no single betrayal, no dramatic rupture. What ended the relationship was his insistence on obedience and dominance. “In his head it’s like, ‘I’m the father, you’re the daughters, we do things my way,’” she told me. Luna explained to him that she was “not willing to have a relationship like that,” and her terms for contact were simple: “We could only have a relationship where you understand that I’m a person, and I’m not just gonna do whatever you want me to do whenever you want me to.” He refused to accept those terms. So after numerous attempts to make it work, she walked away. Family estrangement has become a fixture of talk shows, advice columns and social media. It’s also the subject of my new book, “Families We Lose.” Much of the current media coverage on estrangement tends to frame it as an epidemic that is the product of therapy culture. My research suggests that this framing misses what is actually happening. I conducted 68 in-depth interviews with adults who went no-contact with a parent, sibling, grandparent or other relative. (All participant names, including Luna’s, are pseudonyms used to protect their privacy.) I found that estrangement is less a story of trauma or selfishness, and more a clash between competing expectations: an insistence on loyalty, duty and forgiveness on one hand, and the longing for respect, emotional safety and personal growth on the other. Falling birth rates raise the stakes Estrangement is fairly common. In a 2022 study, my colleagues and I used national survey data that followed parent-child relationships over several decades. In that period, 26% of adult children in the U.S. experienced a period of estrangement from their fathers, and 6% reported a period of estrangement with their mothers. Our findings were consistent with what sociologist Karl Pillemer found in his 2020 national survey, which showed that 27% of Americans were estranged from a relative, or roughly 67 million people. Headlines often treat numbers like these as evidence of a sudden crisis. But no study has tracked estrangement rates over time, and nothing in the existing data shows that it is skyrocketing. Yet estrangement can have different consequences today. People have far fewer children than in most of human history, so the loss of one relationship may carry greater weight. Two generations ago, a parent might have had several other children with whom to maintain close ties; today, many parents have only one or two. Smartphones, meanwhile, have created expectations of constant contact and connection within families. Even adult children who have quietly distanced themselves by moving away or limiting contact may still find themselves fielding regular requests for connection through texts, phone calls and social media. This can be stressful, emotionally taxing and make it difficult to establish boundaries. Those I interviewed often had difficult childhoods, and some had experienced abuse. But they rarely pointed to childhood as the proximate cause of the estrangement, instead citing the poor quality of their relationships with parents and other relatives in adulthood. ‘Kinship culture clash’ For them, the path to estrangement was usually gradual, marked by mounting tensions and unresolved conflicts. It emerged out of the recognition that a parent or sibling would not, or could not, treat them the way they desired. For most, this looked like accountability and growth, intentional connection, mutual respect and safety. Molly, 36, described a lack of accountability as motivation for her estrangement from her mom, Cindy, a decade ago. Molly told Cindy: “You’ve done all these horrible things. I just need you to acknowledge it. I feel like I’m owed an apology.” Molly felt that her desire for accountability was a basic need of any relationship, noting, “I didn’t feel like that was asking too much, but apparently it was. I put the ball back in her court, and she’s just sitting on it.” To what extent are family ties unconditional? Natalija Grigel/iStock via Getty Images Most of the people I interviewed recognized that they had different definitions of what family should look like and feel like. In my book, I call this a “kinship culture clash.” Divorce offers a familiar example of this kind of shift. For most of American history, marriage was an institution shaped by economics, law, religion and social pressure. You stayed married because that was what one did, and there were few alternatives that didn’t leave one spouse – usually the woman – socially ostracized and financially destitute. Then, as sociologists Andrew Cherlin, Anthony Giddens and Stephanie Coontz have argued, marriage transformed into a relationship judged by its ability to provide love and support, promote ideals like fairness and lead to personal growth. Once a marriage started being thought of as an arrangement that needed to work for each spouse, divorce became thinkable, then ordinary. Should family ties always bind? The family you are born into can carry the same tension. Ties to parents and siblings are often expected to be permanent and unconditional, reinforced by cultural norms and laws that bind parents and children to one another, even when children become adults. For example, in adulthood, 27 states have filial piety laws that require adult children to bear financial and, in some cases, direct caregiving responsibility for aging parents. This is part of what I term “compulsory kinship.” Under this framework, you show up at Thanksgiving no matter what was said last year, because your family is your family. You take your dad into your home to care for him when he gets sick, because he’s your father. This model does help many Americans. It can ensure aging parents have adult children to care for them, while adult children may have a place to call “home,” no questions asked. In contrast, the estranged people I talked to for my book adhere to what I call “democratized kinship,” and it generally reflects views of contemporary marriage. Family bonds require mutual respect, reciprocity and support in order to continue. Under this model, genetics take a back seat: Anyone can become family, just like anyone can become a spouse, but no one is automatically family. Neither family framework is new, and neither belongs to a single generation. Some people have always held family of origin relatives to distinct standards of care. Queer people have been building chosen families for generations. But what I chart in this book is the conflict between these two ways of thinking. Estrangement often happens when these two ideas of family collide and cannot be reconciled – when one member insists that biological or origin ties and hierarchies reinforce the family unit, and another insists that behavior does. That is Luna’s story. Her father drew on the logic of age and hierarchy – “Because I’m your father and I said so” – and she demanded to be treated as a person first and a daughter second. A family that works for you People who leave their families of origin are not rejecting family altogether. In a recent study drawing on these same interviews, I show that estrangement operates as a catalyst for what I call “redoing family.” Adults who cut off their relatives can still create kinship networks. Marina Khromova/iStock via Getty Images After cutting off contact with a family member or multiple relatives, people commonly went on to rebuild kinship networks, drawing friends, partners, in-laws and neighbors into roles once reserved for blood relatives, and constructing new family units organized around support and reciprocity. Luna is not on her own because she no longer talks to her father. Her family today includes her sister, whom she talks to multiple times a day, and a large group of friends. “I think you can have your chosen family, and whoever in your biological family you connect to,” she told me. “Everybody just gets to choose who they feel they have a real, intimate, deep connection with. And that’s your family.” She didn’t want less family. She simply wanted a family that works.

10 Bài Kiểm Tra Giúp Nhận Biết NÃO BỘ Còn TRẺ Hay ĐÃ LÃO HÓA SỚM

https://www.youtube.com/watch?v=ylYsw-HAihY 10 bài KIỂM TRA nhận biết NÃO BỘ của cô bác còn TRẺ hãy ĐÃ LÃO HÓA SỚM

Random thoughts from a wheelchair ---AI and Mathematics Education

Random thoughts from a wheelchair First, I would like to express my appreciation for the London Mathematical Society on this excellent initiative and thank the society for choosing our Institute for its first global meeting. On behalf of VIASM, I would like to extend our warmest welcome to our colleagues from the UK and all of you. In the capacity of scientific director of the VIASM, it incurs to me to say a few words on the scientific theme of this meeting, which is mathematics and AI. I take this opportunity to share some philosophical thoughts on this hot topic. Although I have no technical knowledge about AI, I can say that over the last half year or so, there has not been a single day without me reflecting on this fascinating phenomenon, which can be compared to a gigantic meteorite traveling toward our planet at the speed of light. Please bear with me as I indulge myself in speculation. When you listen to people like Sam Altman, you get the impression that his company spent billions of dollars to build this thing, which he’s sorry will destroy us all. According to Altman, this is a sort of man-made disaster that we have no choice but to contribute to it. We need to use all the water we have, heat up our atmosphere even more, to build this monster that will take away all our jobs. Doesn’t what Altman says make artificial intelligence look more like human stupidity? In the previous industrial revolutions, when steam machines and electricity replaced human muscles, large-scale disasters unfolded. Were wars to win new markets to absorb industrial surplus production, or unprecedented depression and unemployment direct consequences of the industrial revolution? It’s difficult to determine, but the advent of steam machines and electricity has likely contributed to large-scale disasters in the first half of the twentieth century. It would be, however, unfair to blame these great inventions, because at the core, they free us from not-so-enjoyable labor. We should blame our incapacity to renovate our socio-economic model to incorporate this whole new production capacity. This finally occurs in a somewhat organic manner, as the production workforce transitions to service work. The second half of the twentieth century was a period of global prosperity. Global prosperity was sustained by precarious world peace, except in some places, such as our own country. The nineteenth-century Industrial Revolution initially made human life worse, but ultimately improved it. But there were some unintended consequences. The second half of the twentieth century witnessed a brand new public health issue: for the first time in human history, a significant part of the population of some countries became obese. This could have been predicted because when we use our muscles less, we become obese. By extrapolation, we may predict that the public health issue for the second half of the twenty-first century could well be mental obesity. But it doesn’t need to be that way. If we believe Sam Altman, AI will replace humans in all the work that humans do, and as a result, humans no longer have to work. It will cause serious economic distress on one side and mental obesity on the other side. I believe that our economist will have the wonderful task of devising a viable economic model, in which many desk jobs created after the last industrial revolution will disappear with the advent of AI, but in which new jobs will be created. Muti Yung, who spoke here on Monday, shared a similar viewpoint. Although it is quite clear that many desk jobs will be replaced by AI, AI obviously cannot respond to all human needs. Beyond our basic survival and biological needs, as humans, we need to flourish intellectually and spiritually. No machine can replace us in our being alive and flourishing in intellect and spirituality. I want to believe that the progress of technology will reduce our mundane burden of staying alive and free our time and energy, allowing us to flourish. Again, I would like to leave the economic question to the economists, but I doubt that the current economic model, built on the constraints of the steam engine and electricity, would remain valid. In other words, we should not agree with Sam Altman, who believes that the goal is to build a super machine capable of crushing human intelligence, because that is the law of the free market. The law of the free market is a fascinating theory, a remarkable product of human intelligence, but it should not supersede our primary goal of staying alive and flourishing. Like many of you, I spent some time dialoging with different AI models, and I enjoyed their company. They are inhuman in their constant availability, but they are quite human in the sense that they are entertaining and unreliable. I don’t take any of their responses as truth, but the conversation with them helps me to keep thinking about a specific topic, eventually shaping my understanding of that topic. If we want to learn something, the current AI could already be a great learning mate. Yesterday, Bui Hai Hung gave a general presentation of LLM for dummies. He explains that at its core, LLM is still a statistical parrot, but one that has the whole internet in its memory. It is thus a talkative learning mate, which may impress us with its wit and clarity of expression. We must, however, be doubly cautious, as a statistical parrot is at its core unreliable. My experience is that when I ask a deeper question on a topic I know well, the answer is almost always wrong or misleading. But when I ask a question on a topic that I don’t know well, its response sounds believable. So please remain doubly cautious. From a mathematician’s point of view, the most obvious defect of LLM is its complete lack of ability to formulate a theory. By theory, I mean a system of definitions and basic logical statements upon those definitions, which allow us to speak of some specific phenomenon in a precise and concise way. As humans, we need concise formulation because we cannot parse too long sentences. That’s why we need theories. Furthermore, the more precise and concise the formulation, the more beautiful it appears to our eyes. On the contrary, the machine can parse long sentences. In fact, as I understand Bui Hai Hung’s talk, for the LLM, there is only one very long sentence that the system builds word by word. In its current architecture, LLM appears to be intrinsically incapable of constructing theory. Instead of building more powerful machines on the same architecture, which would require more water and electricity, the search for models incorporating similar constraints to human minds may be necessary to create an AI model that is a truly intelligent learning mate. From a teacher’s point of view, the challenge presents differently. The current AI models are already capable of solving most of the problems we normally ask our students. But for us, teachers, this has no positive value because we don’t need the response to our problems, but we want our students to find it. To put it briefly, AI in its current form does more harm than good to mathematics education. As we ask economists to find new modalities for economic transactions in the AI area, we have to ask ourselves to reinvent the way we teach mathematics and assess our students’ progress. It will take more than me speculating idly in this wheelchair to find out how, but I believe that solution exists. Whether it is inquiry-based learning or a return to oral examinations, we need to work things out systematically because the stakes are high. We don’t want to be in the situation again of asking our students to use the so-called “scientific calculator” simply because we haven’t thought out how to integrate real scientific computation into our curriculum. This is all I have to say. In the advent of AI we need to reassess every aspect of how we live collectively, how we exchange goods, services and ideas. AI is capable to free us from many boring and mundane tasks and let us to concentrate our minds on more essential questions pertaining to our intellectual and spiritual flourishing. Before getting there, without carefully thoughtfully and deeply reorganizing our collective existence, it may lead first to disaster with significant human tolls, before any improvement. Thank you for your attention. Source: from Ngo Bao Chau's Facebook Translated by Claude (AI) in https://mqtrinh.github.io/other/resources/ngo/

Trước Khi Gọi Cấp Cứu, Hãy Tìm Cách Giúp Tránh Nguy Hiểm Nếu Bạn Đau Tim và Ở Nhà Một Mình

https://www.youtube.com/watch?v=fMDJw8vBS38 Nếu Bị Đau Tim Khi Đang Ở Một Mình, Bạn Sẽ Nguy Hiểm Nếu Không Biết Điều Này

Trứng và Podcast Tim Mạch

https://www.youtube.com/watch?v=-ueVLjZPYe4 Ăn Trứng Đúng Cách – Những Thức Ăn Thức Uống Cần Tránh Dùng Chung Với Trứng https://www.youtube.com/watch?v=uU4A_4_UzZo Liệu Bạn Có Đang Mắc Bệnh Mạch Vành?