为进一步堵塞工作漏洞，我们坚持标本兼治，推动民政与医保、人社、公安、卫健等部门加强数据共 享，强化人员动态核查，保障适龄老人精准认定、死亡人员及时退出，同时督促相关单位加强政策宣 传，变"被动受理"为"主动服务"。 前不久，河南乡河南村一组的董大娘就真切感受到了整改带来的变化。在她即将迎来80岁生日之际，几 名村干部一起上门，为她收集资料、办理津贴申请。此前，乡民政工作人员通过户籍信息比对，发现董 大娘即将符合高龄津贴申领条件，及时向村里发出办理通知。考虑到老人行动不便且子女不在身边，村 干部主动上门为老人完成了"一对一"的全程代办。 我们将高龄津贴监管中形成的有效做法，拓展应用到其他惠民资金监管领域，推动建立长效机制。通 过"定期核查+常态抽查"等方式，层层压实责任，打好惠民资金监管组合拳，织密惠民政策落实责任 网，实现"查处一案、警示一片、治理一域"的综合效应。同时，通过定期开展"回头看"，确保问题整改 到位、制度执行到位、责任落实到位。（作者李宛励，单位：四川省雅安市汉源县纪委监委） 高龄津贴是我国社会保障体系的重要组成部分。这起"应享未享"典型案例，暴露出在惠民政策落实 的"最后一公里"上，仍存在责任 ...

近年来，为破解全区住房公积金领域办理环节多、流程繁、成本高、效率低等突出问题，自治区住 房城乡建设厅推进住房公积金"全链通办"改革，打造广西住房公积金服务一体化信息平台，通过打通与 公安、民政、不动产、市场监管、社保等部门和银行的数据共享通道，逐步实现住房公积金业务办理时 身份证、婚姻证明、房产信息等多项证明材料免提交，住房公积金贷款、住房公积金提取等18项高频事 项业务实现即时办结。 近日，自治区住房城乡建设厅上线"广西住房公积金服务一体化信息平台"，实现79项住房公积金服 务全程网办，全区住房公积金服务事项网办率超95％。当前，该平台在贺州市住房公积金管理中心和柳 州市住房公积金管理中心首批试点运行。 此外，该平台还接入了AI智能客服功能，不仅为缴存人和企业提供全天候、零等待智能咨询服 务，还能精准推送符合用户需求的业务信息，并通过对话式引导，协助用户完成高频业务全流程办理， 构建了"咨询—办理—办结"全链条闭环服务机制。（郭亚琼 姚琳尹） ...

医保信息系统行业发展历程 内容概要：随着信息技术的不断发展和医疗保障需求的日益增长，医保信息系统在医疗保障中发挥重要 作用。不仅简化了业务流程，提高了服务效率，还为医保基金监管、医疗服务质量评估等提供了有力支 撑。叠加国家政策积极推动医疗信息化建设，医保信息系统应用不断深化。近年来，我国医保信息系统 行业市场规模呈现上升趋势，尽管2022年受到全国范围内的疫情影响，医保信息平台的建设和验收进程 较预期有所推迟，但市场仍然展现出了多个积极信号，并展露出增长态势。到了2024年，中国医保信息 系统市场规模持续增长，达到48亿元，同比上涨6.4%。 相关上市企业：东软集团（600718）、久远银海（002777）、ST易联众（300096）、国新健康 （000503）、万达信息（300168）、卫宁健康（300253）、健麾信息（605186）、塞力医疗 （603716）、思创医惠（300078）、创业慧康（300451）等。 相关企业：平安医疗健康管理股份有限公司、创智和宇信息技术股份有限公司等。 关键词：医保信息系统行业产业链、医保信息系统行业市场规模、医保信息系统行业竞争格局、医保信 息系统行业发展趋势 一、 ...

双方还将共织监测预警"防护网"，通过开展联合监测与风险研判，共同提升对团雾、暴雨、大风、 冰雪等灾害性天气的预报预警能力和时效性，努力实现从被动应对到主动预警、超前布防的转变。在应 急联动方面，双方将完善分级响应和联动处置流程，确保在影响交通的恶劣天气发生时，能够快速响 应、信息互通、措施联动，保障路网畅通和出行安全。 日前，市交通运输局与市气象局签署合作框架协议，双方将在数据共享、监测预警、应急联动、科 技研发等领域深化合作，共同提升交通运输应对恶劣天气风险的能力。 相关负责人介绍，根据协议，双方将共建数据共享"高速路"，"通过合作打破信息壁垒，推动交通 流量、路网运行、工程建设等数据与气象监测、预报预警数据深度融合，为精准研判和决策提供坚实支 撑"。 此外，双方将围绕交通气象服务难点和需求，运用人工智能、大数据等手段提升交通气象服务的精 细化、智能化水平，共绘科技赋能"新蓝图"。（季杰 王为义 记者 单杉） ...

Core Insights - The "Xiangyanghong 18" research vessel is currently conducting scientific investigations in the East China Sea as part of the National Natural Science Foundation's shared voyage program for 2025 [1] - The research focuses on key scientific issues related to the marine environment in the East China Sea, encompassing multidisciplinary investigations in physical oceanography, marine chemistry, marine biology, and ecology [1] - The study aims to systematically reveal the patterns and mechanisms of changes in the marine environment, providing precise data support for marine resource development and environmental protection [1] Group 1 - The research vessel is executing the autumn segment of the scientific investigation task [1] - The crew is dedicated to their work, demonstrating a strong sense of responsibility and passion for science during the holiday period [1] - The project supports the National Natural Science Foundation's shared voyage platform, promoting collaborative innovation and data sharing in the field of marine science [1]

在乡村振兴战略向纵深推进的关键阶段，农商银行与供销社的合作不仅是资源互补的必然选择，更是破 解农村金融服务痛点、打通农业产业链堵点的重要抓手。 作为服务"三农"的重要力量，农商银行需始终坚持"以农为本"的初心，主动打破合作壁垒，在资源整合 中找准定位，在模式创新中提升效能，让金融服务与供销服务同频共振，为农业强、农村美、农民富持 续贡献金融力量，为乡村振兴战略的实施筑牢坚实根基。 笔者认为，作为扎根县域、服务"三农"的金融主力军，农商银行需主动作为，从产品、渠道、数据等多 维度探索合作路径，让双方走向深度合作，真正为农村经济发展注入金融活水。 （文章来源：证券日报） 数据共享与科技赋能，是推动双方合作提质增效的关键。在数字化时代，单一机构的信息壁垒往往制约 服务效率，农商银行需主动与供销社建立数据共享机制，整合双方的客户信息、交易流水、业务数据等 资源。通过大数据技术，农商银行可以更精准地掌握农户和涉农企业的经营状况。如依据供销社的农资 销售数据，预判农户的生产周期和资金需求，提前为农户规划信贷额度；依托农产品销售数据，为加工 企业提供融资支持，避免因资金短缺影响生产经营。在此基础上，农商银行还可联合供销社搭 ...

齐鲁晚报·齐鲁壹点 郭健 9月25日，泰安市政府新闻办召开新闻发布会。企业年度报告作为信用监管的核心环节，是各类经营主 体展示经营成果、树立市场信誉的重要窗口，也是经营主体必须履行的法定责任。为最大限度减轻企业 数据填报负担，自2024年12月起，市市场监管局联合人社、商务、税务、海关等9部门积极推进企业数 据填报"一件事"，推动部门间系统融合和数据共享，企业数据填报实现"一网通办、一次办好"，有效提 升了企业办事的获得感，相关经验做法得到省市场监管局的肯定认可。 问：人社部门在企业年报社保信息填报环节采取了哪些创新举措减轻企业负担？ 市社会保险事业中心党委委员、副主任车军回答： 泰安人社局为切实解决企业年报填报存在"多头跑、重复填"的问题，主要创新三项举措： 建立跨部门数据共享机制。依托全省数据共享平台，配合市场监督管理局建立跨部门数据共享机制，将 分散在社保系统的参保登记、缴费基数、本年度缴费额等数据信息实时汇聚，通过数据比对功能，实现 跨部门数据自动匹配共享，有效解决企业多头填报、重复填报、数据不一致的问题，实现企业数据"一 次填报、共享共用、结果通用"。 打造智能填报新模式。针对年报社保信息过去需企业 ...

Core Insights - Scientific intelligence is reshaping research paradigms and empowering industrial upgrades through AI integration in various scientific fields [1][2] - The "Hundred Teams, Hundred Projects" initiative aims to support at least 100 teams and projects within two years, fostering collaboration among AI talents, scientists, and engineers [1][2] - The average age of project leaders in the initiative is 35, highlighting a focus on young scientific talent [1] Group 1: Project Highlights - Professor Gao Yue from Fudan University developed electrolyte materials for lithium iron phosphate batteries, achieving 96% health status after 12,000 charge-discharge cycles and establishing production lines for large-scale manufacturing [2] - The initiative emphasizes cross-disciplinary collaboration and data sharing, which are crucial for driving original innovation [2] - The Zhu Tong team from Shanghai Chuangzhi Academy developed machine learning methods for quantum chemistry calculations, improving efficiency by three orders of magnitude compared to traditional methods [2][3] Group 2: Innovations in Engineering - The Zhou Ying team from Tongji University proposed an automated and intelligent full-link process for building design, increasing modeling and modification efficiency by over 10 times compared to traditional methods [3] - The Lin Zhouhan team from Shanghai Jiao Tong University built a specialized pre-trained model for wind power prediction, achieving the highest accuracy in national renewable energy forecasts for the first quarter of 2025 [3] Group 3: Characteristics of the Initiative - The "Hundred Teams, Hundred Projects" initiative showcases deep integration between young AI scientists and domain experts, creating an efficient collaborative innovation mechanism [4] - Some projects have already partnered with leading companies like CATL, demonstrating the advantages of the "AI scientist + domain expert + engineer" co-creation model [4] - Original breakthroughs in AI methodologies have been achieved, significantly accelerating the scientific discovery process [4] Group 4: Future Directions - The initiative will focus on transforming cutting-edge original achievements into real productive forces by creating industry solution showcases and building an open scientific intelligence cloud platform [5]

Core Insights - The "High-Resolution Meteorological Data Sharing Plan" launched by Zhongke Tianji aims to provide global meteorological data with a resolution of 12 kilometers and 3 kilometers for China, outputting data every hour for 15 days, addressing the challenges of high-quality commercial meteorological data acquisition and high costs [1] Group 1: Data and Technology - The data is sourced from Zhongke Tianji's self-developed "Global Regional Integrated Weather Numerical Simulation System," which utilizes the "Super Dynamics SD3" algorithm and the AI supercluster computing power from Zhongke Shuguang [1] - The AI supercluster is designed with an open architecture, featuring ultra-high performance, efficiency, reliability, and scalability, capable of supporting trillion-parameter model training and multi-modal model development [1] Group 2: Industry Applications - In the renewable energy sector, the plan provides meteorological data support for wind farms and photovoltaic power stations, enhancing energy generation efficiency and asset value through 46-day long-term simulations of wind speed and irradiance [2] - In the low-altitude economy, the plan offers detailed simulations and vertical atmospheric data below 3 kilometers, improving operational efficiency for low-altitude commercial applications [2] - In the transportation sector, simulations of severe weather conditions can assist in optimizing logistics for road, rail, and port operations, reducing energy consumption and operational costs [2] Group 3: Scientific Contribution - The data shared by Zhongke Tianji is recognized for its scientific significance, contributing to both scientific research and business applications, with a call for more enterprises to recognize the value of widespread data utilization [2]

Core Insights - The article highlights the successful digital transformation efforts in Tibet, particularly focusing on the implementation of cloud services and data sharing among local government units [1][2][4] - The initiative led to the creation of a traceable certification system for Tibetan yak meat, enhancing consumer trust and boosting sales [3][4] - Significant financial outcomes were achieved, including over 90 billion yuan in data-related investments and projects [3][4] Group 1: Digital Transformation Efforts - A total of 137 units were transitioned to cloud platforms within four months, marking a significant achievement in digital infrastructure development [2] - The local government had minimal prior experience with data sharing and cloud services, necessitating extensive training and support from the team [2][3] - The establishment of a comprehensive data policy framework and the creation of over 260 data products were key outcomes of the digital initiative [3][4] Group 2: Yak Meat Certification - The "Digital Yak" initiative was launched to address the issue of counterfeit yak meat, providing a reliable traceability system for consumers [3] - The implementation of an information system at farms allowed for detailed tracking of yak meat from breeding to processing, significantly increasing sales and consumer confidence [3] Group 3: Financial Impact and Future Prospects - The digital transformation efforts resulted in a tenfold increase in cloud services, data sharing, and computing power within the local government [4] - Future projects include a data investment signing worth over 10 billion yuan in Shenzhen and a planned computing power investment conference in Nanjing [3][4]