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多地景区实施门票“免减优”政策多元化经营模式开辟营收“新赛道”_我的网站

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Brain-reading AI model reveals how different brain regions are linked to cognitive functions. Photo: Courtesy of Lu Han
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.
。央视网消息：今年以来，全国多地景区宣布实施门票减免等优惠举措，敞开大门迎接游客。推出优惠政策后，景区的客流出现了哪些变化？一起来看记者的探访。　　工作日的上午，浙江临安的大明山景区已经迎来了300多名来自全国各地的游客，他们在这里体验“矿洞小火车”、钢铁长城、高空栈道等徒步观景类项目。据悉，大明山景区此前门票价格为88元，今年1月1日起景区推出免门票的优惠政策，游客接待量明显提升。　　浙江临安大明山风景旅游发展有限公司负责人徐新称：“周末上千人是有的，比2023年肯定是增长的。

B | 免了门票之后，自驾游客人有10%到15%的增长。”　　记者来到了安徽的黄山风景区，不少游客正在排队等着打卡迎客松，它也是黄山风景区非常具有代表性的景点。记者了解到，就在3月份，安徽黄山风景区表示，在二季度非节假日的每个星期三，面向全球游客推出免门票的政策，在其他时间段，对周边8市市民和境外游客也推出半价的门票优惠，这也进一步带动了景区客流量的增长。　　除了黄山风景区之外，安徽省黄山市已有10个景区常态化不收门票，全市常年免门票景区总共达到了32处。数据显示，今年清明假期，黄山、池州、宣城、安庆的90个4A级以上景区合计接待游客约91万人次，同比增长52.6%。

C | 　　打破“门票依赖症” 多地探索多元经营模式　　一些景区免门票后迎来了更多的客流，但同时也面临着营收、管理的压力。

D | 许多景区也正在通过优化旅游结构，催生更多旅游消费场景和消费业态，进而拓展多元化的经营模式。继续来看报道。

E | 　　在浙江兰溪的兰湖景区，记者乘坐“时光小火车”穿梭在山林之间。“时光小火车”整个轨道长度约为1.6公里，乘坐下来大约需要15分钟。

F | 在此期间，游客会穿过花海田园，听林间阵阵的鸟鸣声，来共赴一场春日的美好时光。　　章霞是兰湖景区的负责人，她告诉记者，出于吸引更多游客以及打破单一门票收入经营模式的考量，景区自2023年元旦开始向全国游客免费开放。从数据上看，2023年全年景区客流约70万人，较免门票前增长了130%。　　章霞表示，兰湖景区每年的门票收入接近400万元，免门票后，景区通过打造游船观光车、水上项目、研学农场等新业态来提升景区的收入。　　浙江省兰溪市旅游开发有限公司负责人章霞称：“2023年的整体营收应该是1509万元，而我们之前（2019年）是1200万元，这个增长是非常大的。光餐饮一年的营收就有600万元，像我们的网红小火车一年的收入也有近400万元。”　　一年的丰收从一棵秧苗开始。在安徽黄山的西递村，村民们正在进行着插秧比赛。一般在每年正式插秧之前，这里都会举办非遗活动，叫作“开秧门”。游客们也可以参与进来，亲身体验插秧的辛勤与乐趣，感受浓厚的民俗氛围。　　据了解，黄山市的西递、宏村两个景区也同样推出了门票“免减优”政策。

G | 2023年全年，西递村门票收入较2019年减少一成多，但景区也打造了多样的文化消费新场景，比如花灯制作、闹灯会等体验活动，增加了游客在景区的停留时间，二次消费收入增长了近2倍。　　景区减免门票为自身赚取人气和口碑，通过“让利”带动消费，但业内人士也提醒，免门票措施并不适合对门票收入依存度较高的景区。