Core Insights - The introduction of new drugs, Lecanemab and Donanemab, offers new hope for Alzheimer's disease patients, marking a significant advancement in treatment options [1][3]. Mechanism of Action - Alzheimer's disease is characterized by the accumulation of toxic waste, such as beta-amyloid proteins, which disrupts memory pathways. Traditional treatments have focused on symptom management rather than addressing the underlying causes [2][3]. - Lecanemab targets soluble beta-amyloid proteins, while Donanemab focuses on insoluble amyloid plaques, indicating different stages of intervention in the disease process [3]. Clinical Application and Challenges - Donanemab has a notable advantage of requiring only one injection per month due to its larger antibody structure, which maintains stable blood concentration [3]. - Despite their potential, both drugs face challenges in clinical application, including high costs and the necessity for clear Alzheimer's diagnosis, which can be expensive and complex [5][6]. - Side effects such as brain edema and microhemorrhage have been reported with Donanemab, affecting a significant percentage of patients [4]. Future Directions - There is a need for breakthroughs in targeting tau protein abnormalities, as they are closely related to the severity of Alzheimer's symptoms. Current drug development targeting tau proteins has faced significant challenges [7][8]. - Ongoing research is exploring various factors influencing Alzheimer's progression, with advancements in early detection methods and potential new treatment approaches, including traditional Chinese medicine and surgical interventions [8].

Core Insights - The study indicates that maintaining a healthy lifestyle can significantly extend cognitive health lifespan by 4 to 5 years, even for individuals carrying the high-risk APOEε4 gene [1] Group 1: Research Findings - Over 10% of elderly individuals in China carry the APOEε4 allele, which increases the risk of cognitive impairment by 23% compared to the general population, with changes beginning in middle age [1] - The research involved a 15-year follow-up of 6,488 elderly individuals aged 65 and above, demonstrating the interaction between lifestyle choices and genetic risk factors [1][3] - The study emphasizes that lifestyle factors can influence the effectiveness of genetic predispositions on cognitive health [1] Group 2: Healthy Lifestyle Recommendations - Five key healthy lifestyle habits were identified: not smoking or having quit for over 10 years, abstaining from alcohol or having quit for over 10 years, consuming a diverse diet with at least 12 types of food daily, engaging in regular physical activity, and participating in cognitive social activities [2] - Elderly individuals with 4 to 5 of these healthy habits have a 27% lower risk of transitioning from cognitive health to cognitive impairment and a 43% lower risk of transitioning to death [2] - Even those with existing cognitive impairment have a 73% higher chance of reversing to cognitive health by adhering to these lifestyle habits [2] Group 3: Implications for Alzheimer's Disease Prevention - The findings shift the focus of Alzheimer's disease management from treatment to health maintenance, highlighting the importance of controllable factors over uncontrollable ones [3] - It is suggested that 45% of Alzheimer's cases could be prevented through various modifiable risk factors, and delaying the onset of the disease by one year could reduce prevention costs by over 40% [3] - Recommendations include integrating lifestyle interventions into public health services and enhancing education to dispel myths about dementia being unavoidable [3]

原标题：大块玻璃怎么裁最划算？软件算法给答案 记者5月9日从南京财经大学获悉，该校计算机与人工智能学院韩伟团队自主研发的玻璃套裁优化算 法及成套应用软件，以95%的平均利用率打破外国的软件垄断，在我国玻璃工业原料利用及智能化转型 方面取得重大突破。 韩伟团队自2010年开始致力于玻璃加工行业套裁优化算法与应用软件研究。10余年来，团队分别在 套裁算法和应用软件方面取得了理论突破和良好的经济效益。不同于传统运筹学解决方案，该团队采用 模拟退火、进化算法等启发式智能优化算法，致力于提高玻璃加工套裁工序的原料（玻璃原片）利用 率，即如何在给定尺寸的原片玻璃上，尽可能切割出不同尺寸的小玻璃，以充分利用原材料，使玻璃原 料套裁率有大幅度提升。 基于上述研究，该团队开发了玻璃加工业成套套料优化软件，迫使对手大幅度降价，目前相关软件 已经在国内玻璃加工行业若干头部企业和上市公司实现集团级部署应用。相关验收报告和历史数据表 明，该团队研发的应用软件相比于国外同类软件，在套料率和运行时间方面有明显优势，每年可节省原 料成本数千万元，同步构建"经济效益+环保效益"双赢格局，为我国玻璃加工行业高质量发展注入国产 创新动能。 "在玻 ...

Group 1 - The article highlights the life and contributions of Li Siguang, a prominent geologist in China, emphasizing his journey from a curious youth to a geological expert [1][2] - Li Siguang's early education and experiences, including his studies in Japan and the UK, shaped his understanding of geology and his commitment to scientific inquiry [1] - His significant findings, such as the identification of glacial remnants in North China and the discovery of oil reserves, challenged existing beliefs and contributed to China's geological knowledge [2][3] Group 2 - The article discusses Li Siguang's role in establishing the foundation for China's atomic energy program through his research and the introduction of uranium mining [3] - It also mentions his ongoing work in earthquake prediction, showcasing his dedication to advancing geological sciences until his last days [3] - Li Siguang's legacy is portrayed as one of strategic vision and national service, influencing various aspects of China's geological and energy sectors [3]

原标题：防范学生过度依赖生成式人工智能 《使用指南》明确了五大应用原则。一是坚持育人导向，强化素养本位。引导学生在生成式人工智 能技术使用过程中形成适应智能时代发展的价值观、必备品格和关键能力。二是坚持教育公平，尊重学 生差异。确保技术工具平等地惠及不同地区和个体，无障碍地服务有身体或认知障碍的特殊需求群体。 三是坚持价值引领，确保技术向善。营造健康有序、向上向善的人工智能教育生态。四是坚持需求驱 动，持续稳步推进。结合学校实际，有目的、有计划、有组织地选择、匹配与应用生成式人工智能技术 工具。五是坚持底线思维，保障安全可控。构建覆盖数据安全、伦理审查、内容监管和风险防控的全链 条保障机制，筑牢生成式人工智能技术在教育领域应用的安全底线。 为防范学生因过度依赖生成式人工智能而弱化独立思考能力，《使用指南》从制度规范、教学引导 与角色定位等维度建立系统性防范机制。一方面，明确禁止学生直接复制人工智能生成内容作为作业或 考试答案，并限制在创造性任务中滥用人工智能，从源头上杜绝"代劳式"使用行为。另一方面，强化教 师的引导职责，要求教师在教学实践中积极开展批判性思维训练，培养学生对技术输出内容的质疑精神 与甄别能力 ...

Core Viewpoint - The end of the mandatory energy storage policy marks a significant shift in the energy storage industry, prompting companies to adapt to market-driven dynamics rather than relying on policy incentives [1][4]. Market Transition - The new policy allows for a market-driven approach, with existing projects benefiting from a price guarantee while new projects will determine prices through competition [2][3]. - A "rush to install" is observed as companies expedite project completions to secure expected returns before the policy changes take full effect [2]. - Predictions indicate that China's new energy storage installations may exceed 30 GW this year, with cumulative capacity projected to reach between 236.1 GW and 291.2 GW by 2030 under different scenarios [3]. Technological Innovation - The removal of mandatory energy storage requirements necessitates that companies demonstrate their value in market-driven scenarios, focusing on technological advancements [4]. - Significant advancements in energy storage systems are evident, with standard container capacities exceeding 6 MWh, and some high-end products reaching over 9 MWh, doubling the capacity compared to 2023 [5]. - Innovations in battery cell technology, such as the introduction of 700 Ah long-cycle cells, enhance system efficiency and lifespan, with some systems achieving over 15,000 cycles [5][6]. AI Integration - The integration of AI into energy storage systems is emerging as a critical trend, with companies showcasing AI-driven management systems at industry events [7][8]. - AI technologies are enhancing operational efficiency, predictive maintenance, and safety monitoring, transforming energy storage systems into intelligent entities capable of autonomous decision-making [7][8]. - Challenges remain in data processing capabilities, which hinder the full potential of AI applications in the energy storage sector [8].

Core Viewpoint - The development of industrial green microgrids in China is accelerating, driven by technological advancements and supportive policies, but challenges remain in standardization and economic viability [3][5][6] Group 1: Technological and Market Developments - Continuous breakthroughs in microgrid technologies and equipment are being achieved, with a gradual improvement in the power auxiliary service market mechanism [3] - Microgrids, consisting of distributed power sources and energy storage devices, are recognized as a significant innovation for the efficient use of distributed energy [3][4] - The cost of wind and solar power generation has significantly decreased, enabling the widespread application of hydrogen energy and new energy storage technologies [5] Group 2: Policy Support and Implementation - Various policies have been introduced at the national and provincial levels to support the development of microgrids and related industries, such as the draft guidelines for industrial green microgrid construction in Henan Province [5] - Over 300 industrial green microgrid projects are currently under construction across the country, with notable examples in Shandong and Jiangsu provinces [5] Group 3: Challenges and Future Directions - Despite progress, the construction of industrial green microgrids faces challenges, including the need for improved economic benefits, standardization, and clearer business models [5][6] - Future development should focus on breaking traditional single forms and following a path of low-carbon, diversified, intelligent, electrified, and market-oriented approaches [6] - Recommendations include implementing energy-saving and carbon reduction actions, revising technical standards, and exploring innovative market-based investment and operation models [6]

"递进，代表着防灾减灾不同阶段，有着不同的防范应对节奏。"中国气象局应急减灾与公共服务司 司长王亚伟介绍，按照气象灾害发生演进及其防范应对进程顺序，递进式气象服务一般分为"趋势提 示、灾害提醒、预警发布"三个层级。 结合我国气候类型多样的实际，不同地区、不同行业在不同时段面临的自然灾害风险"共通性"不 强。因地制宜开展递进式气象服务，才能与地方防灾减灾救灾"节奏"高度契合。 原标题：递进式气象服务筑牢防灾减灾屏障 王亚伟表示，递进式气象服务基于无缝隙预报、精细化预警以及高密度实况等产品而开展。目前， 气象部门已建成陆海空天一体化综合气象观测系统，综合观测实力达国际先进水平。强对流天气预警时 间提前量达43分钟，台风24小时平均路径预报误差缩小到62公里，全球天气预报水平分辨率精细至12.5 公里，可提前8.1天准确预报北半球主要天气形势，智能数字预报系统中国区域产品精细到1公里、逐小 时。 今年的5月12日是第17个全国防灾减灾日，主题为"人人讲安全、个个会应急——排查身边灾害隐 患"。气象作为防灾减灾第一道防线，近年来，各级气象部门通过递进式气象服务，构建起"风险预判— 精准预警—靶向推送—联动响应"的全链 ...

Core Viewpoint - The Ministry of Finance and the Ministry of Industry and Information Technology have announced the launch of a pilot program for the digital transformation of small and medium-sized enterprises (SMEs) in approximately 34 cities starting in 2025, with a two-year implementation period [1][2]. Group 1 - The pilot program will focus on five key tasks: addressing enterprise needs, enhancing supply-demand dynamics, encouraging innovation, strengthening mechanism innovation, and optimizing measures through experience summarization [1][2]. - The pilot cities will prioritize the transformation of traditional industries while also promoting the development of strategic emerging industries and future industries [2]. - Specific sectors for digital transformation will include computer and communication electronic equipment manufacturing, general and specialized equipment manufacturing, and automotive manufacturing [2]. Group 2 - Selected SMEs for the digital transformation will be those in critical links of the industrial chain, with a focus on specialized, innovative, and larger-scale industrial SMEs [2]. - The pilot cities are encouraged to identify exemplary enterprises with strong foundational conditions and high return on investment to serve as models for replication [2]. - There is an emphasis on developing tailored digital technology products and solutions that meet the specific needs of SMEs in targeted sectors [2].

Core Viewpoint - The development of a novel "multi-axis conjugate motion device" by Xi'an Light Industry Watch Research Institute significantly enhances satellite antenna deployment without the need for electrical power, addressing previous limitations in satellite communication capabilities [1][2]. Group 1: Technology Innovation - The new antenna design allows for non-circular configurations that maximize effective area when deployed, improving satellite communication capacity and precision [1]. - The device operates without electric motors, reducing failure rates and enhancing reliability in extreme space conditions [2]. - The design incorporates a unique energy storage system that utilizes elastic materials to provide power for the deployment process [3]. Group 2: Mechanism and Functionality - The device consists of three core modules: an energy storage module, a conjugate transmission mechanism, and a controlled release system [3][4]. - The conjugate transmission mechanism employs a spatial cam design inspired by race track curves, enabling smooth conversion of linear motion into complex three-dimensional movements [3]. - The controlled release system is based on the escapement mechanism of mechanical watches, ensuring precise control over the deployment speed [4]. Group 3: Development Challenges - The development faced significant challenges in coordinating numerous cam mechanisms, necessitating innovative modeling techniques [5]. - The research team utilized motion simulation surface modeling technology to create a digital prototype, allowing for efficient optimization of the design [5]. - The integration of precision timing technology from watchmaking into aerospace applications represents a significant advancement in China's space technology capabilities [5].