一诺倾情
【传统文化】暖意融融，乐享冬至——山倾城幼儿园冬至节气系列活动_我的网站
一 | 冬至大如年 人间小团圆 冬 至 2024年12月21日冬至，是我国二十四节气之一，也是我们的传统节日。
二 |
Chinese scientists have developed a “brain-reading” AI model that could help predict the risk of depression among adolescents up to four years in advance by analyzing how humans respond to facial expressions, a technology expected to inspire future development of embodied intelligent humanoids capable of perceiving human emotion and thoughts through nuanced facial cues.
WHO data show that around 332 million people worldwide have depression, about one-third of whom have treatment-resistant forms of the condition. In China, an estimated 95 million people suffer from depression, National Business Daily reported, citing statistics from the China Mental Health Survey.
Using data from a population-based longitudinal adolescent cohort recruited across several European countries, the research team led by Lu Han, assistant professor at the School of Artificial Intelligence, Shenzhen University, has built an AI model that predicted which 19-year-olds were more likely to develop depression at the age of 23. The predictions were backed up by an independent clinical cohort of individuals with depression. The team’s paper was published in the journal Science Advances this month.
According to Lu, the study used brain scans taken at age 19 to predict depression-related symptoms at age 23. The study focuses on adolescence because the transition from adolescence to early adulthood is a key developmental period when depressive symptoms can increase rapidly. The earlier risks are identified, the greater the opportunity for prevention, Lu told the Global Times on Monday, adding that the findings need to be further validated in middle-aged and older adults and across different ethnic groups in future research.
In this study, the researchers analyzed data from adolescents in the IMAGEN, a population-based longitudinal cohort recruited across several European countries. At age 19, participants underwent an fMRI emotional-face task, and their emotional symptoms were assessed using standardized questionnaires. Genetic data obtained from blood samples were also analyzed, and participants were followed up at age 23. The researchers examined whether neural representations of angry faces at age 19 were associated with emotional symptoms and could predict elevated emotional symptoms four years later.
According to Lu, people without depression can more easily distinguish emotional changes based on others’ facial expressions and respond accordingly – for example, responding with friendliness to a smiling expression. But people with depression cannot do this, and are more likely to assume people are angry with them.
A brain-aligned deep-learning model developed by Lu’s team suggested that those participants whose brains were less able to distinguish between different facial emotions and tended to perceive others as angry were more likely to develop symptoms of depression and anxiety in adulthood.
The hypothesis that adolescents at risk of depression may respond differently to other people’s facial expressions than those without such risk based on the negative information processing bias long observed in depression research: people at risk of depression are more likely to notice, interpret, or remember negative social information, Lu said.
The researchers focused on angry facial expressions because they signal social threat and rejection, which are closely linked to interpersonal difficulties and negativity bias associated with depression. They hope to further understand how this bias develops within the visual system.
Building on this, they created a deep learning model, which mimics how the brain processes visual information, to predict how the brain encodes abstract emotional concepts such as anger.
They found that 19-year-olds whose response to facial expressions was skewed in favour of negative emotions or memories were the most likely to develop some form of depression.
Based on these findings, Lu’s team then developed a marker that can identify possible warning signs.
According to Lu, the study found that the computational biomarker was linked to the depression-related variant rs11123030 and polygenic risk for depression, suggesting that genetic susceptibility may affect emotional perception. It also provided predictive information beyond family stress and socioeconomic factors, complementing rather than replacing environmental risk factors. Therefore, depression is neither purely genetic nor purely psychological, but a complex mental disorder arising from the interplay of genetic susceptibility, brain development, emotional and cognitive processes, and life experiences.
According to Lu, the study is also expected to advance AI by aligning deep neural networks with human brain activity and using parameter perturbations to probe neural mechanisms, allowing models to both predict and explain how biases may arise.
The findings suggest that future affective computing and embodied AI should go beyond simply labeling facial expressions, incorporating visual details while preventing prior assumptions from overriding real-time sensory input, Lu said, adding that the findings could provide valuable insights for developing more interpretable robotic perception systems that more closely emulate the way humans process emotions.
。为了传承中华优秀传统文化，让孩子们亲自体验和感受冬至习俗和节气特点，在冬至节气到来之际，山倾城幼儿园开展了“快乐冬至”系列活动，带孩子们开启了冬日之旅。 中|国|传|统|二|十|四|节|气 冬至快乐系列活动 01 饺子手工 在北方冬至节有吃饺子的习俗，因为饺子有“消寒”之意，至今民间还流传着“冬至不端饺子碗，冻掉耳朵没人管”的民谚，孩子们用彩泥和彩纸捏出了一份份美味的饺子，祝愿大家冬至快乐，平安幸福。 冬至大如年 02 冬至祝福语 冬天到了，天气逐渐变冷，夜晚逐渐变长，小朋友们为大家送去了最真挚的祝福！ 冬至大如年 03 手指谣 喜气洋洋“包饺子”，调饺子皮、和面、切面、擀面、拿馅儿、放馅儿、包捏……孩子们用手指谣的形式记住了包饺子的过程，让这个冬至过的更加有意义！ 冬至大如年 04 自制奶茶 传统的姑苏人家，会在冬至夜喝冬酿酒，冬酿酒用糯米或者黄米，加入桂花酿造。
三 | 作为北方的孩子，我们受到启发，决定自制冬至的第一杯奶茶。 先将茶叶倒入锅中，翻炒出茶香；加入200ml纯净水，煮到水沸腾，冒出茶香；再加入250ml鲜牛奶，继续加热，加热至奶茶微微冒泡；加入适量糖浆、玫瑰花、红枣、枸杞等配料。等待再次沸腾，就制作完成啦~ 冬至大如年 中|国|传|统|二|十|四|节|气 冬至节气诗词 冬至，作为中国二十四节气的一个重要节点，这是地球赤道以北地区白昼最短、黑夜最长的一天 《冬至》 唐·杜甫 年年至日长为客，忽忽穷愁泥杀人 江上形容吾独老，天边风俗自相亲 杖藜雪后临丹壑，鸣玉朝来散紫宸 心折此时无一寸，路迷何处见三秦 《邯郸冬至夜思家》 唐·白居易 邯郸驿里逢冬至，抱膝灯前影伴身 想得家中夜深坐，还应说着远行人 冬至大如年 中|国|传|统|二|十|四|节|气 三候水泉动 二候麋角解 一候蚯蚓结 古风 【完】 编辑|刘芸嘉 初审|薛鸿艳 终审|张铁丽 中|国|传|统|二|十|四|节|气。
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Published on:11:35:49