Core Insights - Childhood obesity has become a significant issue, with 1 in 5 children classified as overweight or obese, which poses long-term health risks [2][3][4] - The establishment of the "Fudan Pediatric Medical Alliance for Weight Management" aims to address childhood obesity through a comprehensive health management approach [2][5] Group 1: Childhood Obesity Statistics - As of 2022, 159 million children and adolescents globally suffer from obesity, with the obesity rate for children approximately four times higher than in 1990 [3] - In China, the overweight and obesity rate among children aged 6-17 is nearly 20%, while for children under 6, it is 10.4% [3] - The rising obesity rates in rural areas are concerning, with some regions surpassing urban obesity rates [3] Group 2: Weight Management Strategies - The alliance aims to create a comprehensive service system for weight management, focusing on early screening, intervention, and treatment for overweight children [2][5] - A multi-level approach involving families, schools, communities, and hospitals is essential for effective weight management [4][5] - The use of technology, such as AI and wearable devices, will enhance monitoring and early intervention strategies [4][5] Group 3: Collaborative Efforts - The alliance will leverage a multidisciplinary team, integrating expertise from endocrinology, nutrition, psychology, and traditional Chinese medicine [5] - Collaboration with parents, teachers, community doctors, and specialists is crucial for a new model of children's health management [5] - The Fudan Pediatric Medical Alliance has already partnered with 96 medical units to improve pediatric capabilities and establish a tiered diagnosis and treatment system [5]

证券日报网讯1月13日，迪阿股份（301177）在互动平台回答投资者提问时表示，公司高度重视人工智 能、大数据等数智化技术在珠宝领域的布局。在持续加强主营业务核心竞争力的基础上，公司积极探 索、研究前瞻性技术领域比如智能穿戴、AI辅助设计等，力求拓展新的业务增长机遇。 ...

该公司成立于2017年12月，法定代表人为谢式禹，经营范围含职业中介活动、互联网信息服务、基础电信业务、工业互联网数据服务、企业管理、工业工程 设计服务、人工智能公共数据平台、人工智能行业应用系统集成服务等。股东信息显示，该公司由海南省国有资本运营有限公司及上述新增股东共同持股。 松果财经讯，天眼查工商信息显示，近日，海南省信息产业投资集团有限公司发生工商变更，新增海南省国改增本股权投资基金合伙企业（有限合伙）、海 南省国改产业投资合伙企业（有限合伙）为股东，注册资本由3亿人民币增至约3.4亿人民币，增幅约14%。 | | 查老板 查关系 查风险 省公司 都在用的商业查询工具 | | --- | --- | | | 海南省信息产业投资集团有限公司 × 天眼一下 国家中小企业发展子基金旗下机构 | | 基本信息 108 | 法律诉讼 14 经营风险 经营信息 331 公司 | | 工商信息 历史工商信息 | | | 企业名称 | 海南省信息产业投资集团有限公司 | | | 曾用名 海南省信息产业投资有限公司 | | 统一社会信用代码 2 | 91460000MA5T2GYK73 注册资本 2 34127.479 ...

格隆汇1月13日丨迪阿股份(301177.SZ)在互动平台表示，公司高度重视人工智能、大数据等数智化技术 在珠宝领域的布局。在持续加强主营业务核心竞争力的基础上，公司积极探索、研究前瞻性技术领域比 如智能穿戴、AI辅助设计等，力求拓展新的业务增长机遇。 ...

中国经济网北京1月13日讯（记者 成琪）1月10日至11日，北京大学主办的第二十三届中国文化产业新 年论坛"智能与文化：人类文明的价值共创"在京召开。北京大学文化产业研究院牵头、联合国内外文化 产业领域专家学者编纂的"文化产业蓝皮书"《中国文化产业发展报告（2024-2025）》发布。 第三部分以"数智赋能与融合创新"为主题，回应人工智能、大数据等颠覆性技术对文化产业带来的深刻 影响。该部分重点分析数字技术在公共文化服务、演艺产业、数字出版、文化数据治理等领域的关键应 用与融合模式，并从文化与科技深度耦合的视角，进一步深化对艺术创新方法论与场景化新业态生成机 制的理论认知。 第四部分围绕"文旅业态与场景创新"展开。立足文旅融合高质量发展的实践前沿，系统梳理数字文旅体 验、沉浸式文旅场景、科技赋能工业遗产与社区活化等新兴业态的发展路径与典型案例，深入分析新场 景对区域经济、文化认同与消费结构升级的综合带动效应。 第一部分为"总报告"。该部分从全局视角出发，系统总结2024—2025年中国文化产业发展的宏观态势、 基本特征与阶段性成果，深入分析产业结构调整、增长动能转换及面临的突出问题，勾勒出中国文化产 业在新发 ...

Core Viewpoint - The collaboration between Future Science City Real Estate Co., Ltd. and Beihome marks a significant partnership in the real estate sector, focusing on the development of residential land in Changping District, Beijing, utilizing C2M strategies for effective marketing and design consultation [1][2] Group 1: Project Details - The project covers a total area of 43,000 square meters with a planned construction area of approximately 82,200 square meters, consisting of three sub-plots, with a total price of 1.2426 billion yuan [1][2] - This collaboration represents Beihome's fourth new housing project in Beijing, following successful projects such as Zhao Tang Lan Yue and Chang'an Hua Xi Fu [1] Group 2: Sales Performance - The C2M model has proven effective, as evidenced by the success of Zhao Tang Lan Yue, which achieved 1.86 billion yuan in sales with a nearly 90% sales rate and over 540 units signed within four months [2] - Chang'an Hua Xi Fu also demonstrated strong sales performance, achieving "three openings and three sellouts" with a complete sellout within 100 days [2]

Core Viewpoint - The joint measures released by eight government departments aim to foster the development of the elderly care service industry and promote the silver economy through technological innovation and market-oriented approaches [1][3]. Group 1: Brand Development - Support for the establishment of distinctive branding for chain elderly care service providers to enhance brand recognition [4]. - Encouragement for elderly care service providers to implement trademark strategies and register distinctive logos [4]. - Promotion of well-known brands in the elderly care sector through various initiatives to create exemplary brands and leading enterprises [4]. Group 2: Market Supply and Demand - Optimization of elderly care services and age-friendly products by integrating community resources and encouraging home care services [6]. - Establishment of platforms for supply and demand matching to enhance resource utilization in elderly care services [6]. - Encouragement for e-commerce platforms and supermarkets to create dedicated sections for elderly products to facilitate consumption [6]. Group 3: Technological Empowerment - Promotion of technological advancements in elderly care, including the use of big data, cloud computing, and AI for health monitoring and personalized services [7]. - Support for the development of elderly care robots and smart home technologies to meet the needs of daily care and emotional support [7]. - Encouragement for the exploration of advanced technologies such as brain-machine interfaces and exoskeleton robots to assist elderly individuals with declining physical functions [7]. Group 4: Development Environment Optimization - Creation of a fair competitive environment by reforming the classification of elderly care institutions and ensuring no restrictive clauses in government procurement processes [8]. - Establishment of standards and certification systems for elderly products and services to guide procurement decisions [8]. - Protection of elderly rights through educational initiatives and strict regulation against fraudulent practices targeting the elderly [8]. Group 5: Support for Operational Factors - Improvement of government services to provide efficient guidance and information on elderly care facilities and policies [11]. - Streamlining of licensing processes for elderly care institutions to facilitate easier access to necessary permits [11]. - Support for stable operations of elderly care facilities through land supply and financial assistance for construction and operational costs [11].

1月13日，民政部举行专题新闻发布会，介绍《关于培育养老服务经营主体 促进银发经济发展的若干措 施》有关情况。养老服务司司长李邦华在会上表示，《若干措施》提出，大力支持科技赋能养老服务。 推动大数据、人工智能、北斗技术运用到老年人健康监测和个性化服务等场景，鼓励养老服务机器人产 业发展，支持智能设备开发企业嵌入养老机构试点试用，为养老服务智能化发展、改善老年人服务体验 指明方向。 ...

Core Viewpoint - The Ministry of Civil Affairs and seven other departments have introduced measures to foster the elderly care service sector and promote the silver economy through technological advancements and product development [1] Group 1: Encouragement of Technological Development - The measures encourage breakthroughs in elderly care technology and product research and development [1] - There is a focus on the digital transformation of elderly care services, utilizing big data, cloud computing, artificial intelligence, and Beidou technology for health monitoring and personalized services [1] Group 2: Support for Robotics and Cross-Industry Collaboration - The initiative promotes the development of elderly care robots to meet the daily care, emotional support, and social needs of the elderly [1] - It aims to facilitate collaboration and technological integration across industries, including robotics, medical rehabilitation, and smart home technologies [1] Group 3: Product Development and Application - The measures advocate for the acceleration of research and development in embodied intelligence technology, new materials, genetic technology, and rehabilitation aids [1] - There is an emphasis on exploring advanced technologies such as brain-machine interfaces, exoskeleton robots, and muscle exosuits to support elderly individuals with declining physical functions [1] Group 4: Enhancing User Experience - Support is provided for the integration of smart elderly care devices and rehabilitation robots into care institutions, enhancing user experience through shared services, equipment leasing, and pilot testing [1] - The initiative encourages collaboration between various elderly care institutions and smart product developers to create demonstration and experience areas for elderly-friendly technology [1]

Core Viewpoint - The futures market is facing new challenges and opportunities driven by the deep adjustment of the global economic landscape and the acceleration of the digital technology revolution [2] Group 1: Industry Challenges - The futures hedging industry lacks specialized talent, comprehensive market information coverage, and sufficient risk assessment and control capabilities, making it difficult to make quick trading decisions [3] Group 2: Company Initiatives - Shenwan Futures has developed an intelligent service platform for industrial hedging, achieving significant breakthroughs in the futures industry since May 2024, providing effective strategies for Zhejiang Runfu Supply Chain Co., Ltd. [4] Group 3: Client Needs - Zhejiang Runfu, a steel trading company, emphasizes the importance of hedging operations in the futures market due to the increasingly complex supply-demand relationship in the steel market [5][6] Group 4: Smart Hedging Platform - The SmartGPT platform, developed by Shenwan Futures in collaboration with its parent securities company, utilizes a "WDD" architecture to capture both direct business signals and complex nonlinear information, enhancing service efficiency and quality [7] - The platform leverages deep learning to identify complex data logic, market risks, and trading opportunities, providing more scientific and precise risk pricing for financial institutions [7][8] Group 5: Implementation Process - The implementation process involves data standardization, daily analysis of macro and industry data, and model parameter adjustments, with continuous optimization based on out-of-sample data [10] Group 6: Project Outcomes - The intelligent service platform has received multiple awards, including the "Outstanding Achievement Award" at the 18th "Golden Fair" and has been recognized as a demonstration case in the financial technology innovation pilot program [12] - The application of the platform is expected to significantly enhance service to the real economy, improve market efficiency, strengthen compliance risk control, and ensure financial security [12]