在陕西省测绘地理信息局的指挥大厅，巨大的弧形屏幕上，黄河陕西段蜿蜒的走势、两岸的地质构 成、重点区域的实时画面等清晰呈现。 目前，平台已系统整合了全域高精度实景三维数据、生态资源数据、经济社会数据及各类业务管理 数据，构建起覆盖省、市、县、乡四级的流域"一张图"，平台门户系统目前已有领导小组成员及省、 市、县三级100多个单位240余位工作人员注册。这一数字底座的价值正全面释放—— 在河道监测中，借助地形级实景三维数据实现全域分析，精准计算河道演变态势，为河道治理提供 科学依据； 在生态警示问题监测中，通过多期高精度倾斜模型与问题图斑、管理数据的空间综合分析，实现实 时精确掌握问题线索； 在河湖"四乱"、流域涉水问题项目治理中，利用水上水下一体化模型，为河道清淤、岸线修复等工 作提供准确数据支撑； 12月10日，平台管理员、自然资源部第二地形测量队生态监测中心高级工程师姬霖轻点鼠标，在陕 西省智慧黄河信息平台上，调出近日由视频监控自动识别的几处疑似乱搭乱建区域，通过AI研判与三 维模型叠加分析，精准确定目标区域和占地面积。"过去可能几周才能发现的隐患，如今实现了实时感 知、精准定位。"姬霖说。 这一高效操作的 ...

Core Insights - A research team from the University of Melbourne has developed an AI tool called "Digital Twin-Generative Pre-trained Transformer" (DT-GPT) that creates digital twins of patients and successfully predicts individual health conditions [1][2] Group 1: AI Tool Development - The DT-GPT model was trained using three datasets covering thousands of electronic health records [1] - The model analyzes medical data from patients with Alzheimer's disease, non-small cell lung cancer, and those in intensive care [1] Group 2: Predictive Capabilities - DT-GPT can generate a digital twin of patients and analyze their medical history, lab results, diagnoses, and treatment plans [1] - The model demonstrated superior accuracy in predicting health status changes compared to 14 other advanced machine learning models [1] - For over 35,000 ICU patients, DT-GPT accurately predicted changes in magnesium levels, blood oxygen saturation, and respiratory rates within 24 hours based on previous lab results [1] Group 3: Clinical Implications - This AI tool enables doctors to anticipate patient health deterioration, allowing for early intervention [2] - It can predict drug side effects and assist in customizing treatment plans based on individual patient characteristics, improving treatment outcomes [2] - The technology paves the way for a shift from passive to predictive and personalized medicine, potentially disrupting the clinical trial landscape [2]

Core Insights - The "Bay Area Eye" is a new cultural landmark in Shenzhen, symbolizing a shift from speed-focused construction to a more intelligent and quality-driven approach in urban development [1][6]. Project Overview - The "Bay Area Eye" covers an area of 66,000 square meters with a total construction area of 131,000 square meters, making it one of the largest bookstores globally and a cultural landmark in Bao'an District [2][3]. - The design concept is inspired by "Heaven and Earth," featuring two circular structures that represent the bookstore and a folk museum, complemented by square buildings [3]. Construction Challenges - The project faced significant complexity due to its large scale and unique architectural features, including numerous curved and large-span structures [3][5]. - The construction team utilized Building Information Modeling (BIM) technology to create a digital twin of the building, allowing for early detection of conflicts and optimization of various systems [4][7]. Technological Innovations - BIM technology enabled the integration of all professional drawings and data, facilitating a "one model to the end" approach, which minimized rework and waste during construction [4]. - A custom intelligent scaffolding software was developed to optimize the arrangement of scaffolding, resulting in a 25% reduction in material usage and increased efficiency [4]. Structural Integrity - The project utilized over 11,000 tons of steel, with significant challenges in connecting the two main areas through a large corridor [5][6]. - A closed-loop workflow involving simulation, measurement, and correction was employed to ensure precision in the construction of complex curved shapes [6]. Future Implications - The data from the "Bay Area Eye" will contribute to a City Information Model (CIM), supporting future smart city initiatives in Shenzhen [7]. - The project reflects a broader trend in Shenzhen, where BIM technology has become a standard in large public buildings and infrastructure projects [7].

Core Insights - The article discusses the evolution of the concept of "flow" from Mihaly Csikszentmihalyi's original work to the modern context, emphasizing the challenges posed by digital distractions in achieving flow experiences [1][2] - It highlights the shift in human attention from the physical world to the digital realm, which has fundamentally altered various aspects of life, including thinking, communication, and social interactions [2][3] - The emergence of artificial intelligence and its potential impact on human experiences and flow is explored, suggesting that while AI can enhance productivity, it may also diminish the sense of control necessary for achieving flow [4][5][6] Digital Distractions and Flow - The article illustrates how digital media can fragment attention, making it easier to become distracted rather than engaged in meaningful flow experiences [3][8] - It notes that while digital environments can provide instant gratification, they often lack the depth and challenge required for true flow, leading to a preference for "micro-flow" experiences over more fulfilling "macro-flow" experiences [8][9] Social Interactions and Well-being - Data from the American Time Use Survey indicates a significant decline in face-to-face social interactions among adults and teenagers, attributed to the rise of the internet and digital devices [7] - Research from Harvard University emphasizes the importance of high-quality interpersonal relationships for sustained happiness, suggesting that digital interactions cannot fully replace in-person connections [7] Future of Flow in a Digital Age - The article discusses the potential for AI to create digital twins that could perform tasks on behalf of individuals, which may lead to a loss of personal agency and the ability to experience flow [6][5] - It advocates for finding a balance between digital and physical interactions, encouraging individuals to consciously allocate time for real-world socialization to foster meaningful relationships [7] Characteristics of Flow - To achieve "macro-flow," individuals need clear goals, immediate feedback, and a balance between challenge and skill level, which are often lacking in digital environments [10][13][16] - The article contrasts "micro-flow," characterized by low complexity and immediate gratification, with "macro-flow," which involves deeper engagement and personal growth [9][10][16] Embracing Boredom for Flow - The authors suggest that embracing moments of boredom can lead to greater self-reflection and the potential for personal growth, as these moments allow for the exploration of future goals [17][19] - It emphasizes the importance of self-discipline in resisting the urge to fill every moment with digital distractions, thereby creating space for deeper thought and flow experiences [18][19]