Core Insights - The article emphasizes the transformation of underutilized land into productive industrial spaces, showcasing successful case studies in Jiangsu province, where old factories have been revitalized to enhance economic output and efficiency [1][5][6] Group 1: Land Utilization and Transformation - Jiangsu province faces limited land resources, necessitating the revitalization of idle and inefficient land to unlock development potential [1] - The transformation of old factories into modern industrial parks has led to significant improvements in land utilization metrics, such as increased building area and higher tax revenue per acre [2][3] - Successful case studies include the Hua Cheng Industrial Park, which increased its building area from 5,000 square meters to 28,000 square meters and improved its land utilization rate [2] Group 2: Policy and Strategic Initiatives - Local governments are adopting a "tear down and rebuild + precise investment attraction" strategy to address the challenges of low-efficiency land [2] - Jiangsu's natural resources departments are prioritizing the redevelopment of low-efficiency land as a key strategy for industrial upgrading and expanding development space [5] - By 2025, Jiangsu plans to implement low-efficiency land redevelopment across 241,400 acres, with a total of 1,084,400 acres targeted during the 14th Five-Year Plan [5] Group 3: Economic Impact and Future Outlook - The revitalization of low-efficiency land is seen as a critical driver for high-quality development, shifting the focus from new land acquisition to maximizing existing resources [5][6] - The successful transformation of industrial parks has led to increased tax revenues, with some areas seeing per-acre tax revenue rise from 7,000 yuan to 1,000,000 yuan [3] - The article highlights the broader implications of these transformations for sustainable development, emphasizing ecological priorities and improved living standards [5][6]

吴中区委书记、区长万利表示，吴中将以全域智能场景应用开放为牵引，建立"机器人场景供需资源 库"，构建完善"政产学研金服用"融合贯通机制，形成"场景应用催生创新，场景需求驱动供给"的良性 循环，推动机器人产业从"功能叙事"向"场景叙事"深刻转变。 "需求源于场景，场景孕育市场。"苏州市机器人产业协会秘书长瞿卫新认为，吴中区紧抓全域智能这一 核心，通过场景开放先行先试，助推企业完成从概念到落地的跨越，将为打造"全国机器人产业集群第 一区"产业地标提供更强支撑。 "通过开放真实场景，助力企业实现商业化落地，将资本市场估值转化为实际应用产值。"吴中区工信局 局长石燕华介绍，吴中区打造全域智能开放场景，旨在整合无人机、无人船、无人车、具身智能机器人 等终端设备，构建软硬件一体、覆盖多领域的应用生态。 为了激励企业创新应用场景，大会成立具身智能产业投资机构联盟，引导资本聚焦关键技术突破与产业 孵化，促进产业链协同与创新资源对接。截至目前，吴中区已设立机器人产业基金39只，总规模达160 亿元，以"真金白银"为产业赋能。江苏省具身智能机器人技术重点实验室、具身智能概念验证中心、具 身智能中试平台等一批高能级校地合作平台同步 ...

本报讯(苏仁轩陈月飞)1月19日，省十四届人大常委会第二十次会议在南京开幕。受省委书记、省人大 常委会主任信长星委托，省人大常委会常务副主任樊金龙主持第一次全体会议。省人大常委会副主任张 爱军、魏国强、夏心旻、周广智、张宝娟和秘书长陈建刚出席会议。常务副省长马欣到会作人事任免案 说明、有关情况报告。副省长沈剑荣、省法院院长夏道虎，省检察院、省监委负责同志列席会议。 会议听取有关人事任免案说明。拟任命人员作了发言。 省政府有关负责同志作了关于2024年度省级预算执行和其他财政收支审计查出问题整改情况的报告，关 于2025年度民生实事项目实施情况和2026年度民生实事项目编排情况的报告。 省人大法制委负责同志作了关于省保障和促进宜兴陶瓷高质量发展条例草案、省财会监督条例草案审议 结果的报告。省人大常委会代表工委负责同志作了关于省实施代表法办法修订草案的说明。 省政府提交了关于提请审议省无线电管理条例修订草案、通榆河水污染防治条例修正草案的议案。受省 政府委托，省工业和信息化厅、生态环境厅负责同志分别作说明。省人大财经委、环资城建委分别提交 审议意见报告。 省人大常委会法工委负责同志作了关于2024年以来备案审查工 ...

Core Insights - The article emphasizes the importance of aligning talent cultivation with industry demands in the context of rapid digital economy growth and AI technology application [1] - AI technology is seen as a transformative force in reshaping the collaboration between academia and industry, addressing existing challenges in talent training and resource allocation [2] Group 1: Challenges in Traditional Education-Industry Collaboration - Traditional education-industry collaboration faces issues such as outdated talent training plans that do not reflect industry needs, leading to a mismatch between graduates and job market requirements [2] - Resource allocation for practical training is uneven, hindering the enhancement of practical teaching [2] - The loose relationship between academia and industry prevents sustainable cooperation [2] Group 2: AI-Driven Solutions for Collaboration - AI can reorganize information transmission, resource allocation, and value creation chains to address the aforementioned challenges [2] - Technologies like natural language processing and big data analysis can dynamically match talent training needs with industry structure [2] - Virtual reality and simulation technologies can create virtual training environments, enhancing students' practical experiences [2] Group 3: Innovative Co-Education Models - The collaboration model is shifting from "one-way output" to "mutual empowerment," utilizing AI to transform production processes into educational topics [3] - AI technology allows for the dynamic optimization of learning courses and practical methods based on real-time data from students and industry needs [3] Group 4: Curriculum Reconstruction - AI can establish a flexible curriculum adjustment system, breaking away from rigid traditional course structures [4] - Course development can leverage AI to extract key competency requirements from industry reports and forums [4] - Project-based learning can be integrated with AI virtual simulations to enhance practical training [4] Group 5: Personalized Education - AI can facilitate personalized talent development by matching student capabilities with job requirements [4] - Learning management systems can track student performance and generate tailored learning paths [4] Group 6: Systematic Support for AI-Driven Collaboration - A collaborative mechanism involving a council of academic and industry experts is necessary for effective co-education [5] - Establishing standards for AI technology and data security is crucial for resource sharing and rights clarification [5] Group 7: Resource System Development - Investment in AI infrastructure is essential for building collaborative education platforms [6] - A dynamic database for industry demand can support curriculum development and teaching reforms [6] - A strong integration of resources between academia and industry is needed to create a mutually beneficial environment [6] Group 8: Teacher Development - A "dual-teacher" model is proposed to enhance educators' skills in AI applications and industry developments [6] - Initiatives for teacher mobility between academia and industry can foster practical teaching [6]

Group 1 - The core viewpoint of the articles highlights that China's automotive industry is expected to maintain its global leadership, with total vehicle production and sales projected to exceed 34 million units by 2025, and new energy vehicles (NEVs) surpassing 16 million units, marking 11 consecutive years at the top globally [1][2] - In 2025, NEVs are anticipated to account for 50.8% of domestic new car sales, establishing themselves as the dominant force in the market [1] - The export of vehicles is expected to exceed 7 million units, with overseas markets becoming a new growth driver for the industry [1] Group 2 - The success of China's NEVs is attributed to a well-established supply chain, enabling rapid component development and enhancing consumer trust in product delivery and after-sales service [2] - China's automotive industry has developed a comprehensive and efficient industrial system, supplying 70% of global battery materials and 60% of power batteries, creating a comparative advantage [2] - Policy support, including long-term special bonds and targeted loans for technological innovation, has played a crucial role in driving the industry's growth and transformation towards green and intelligent manufacturing [2] Group 3 - The shift from low-cost competition to technological innovation and value enhancement has allowed Chinese automotive brands to improve their image and profitability [3] - The transition from being perceived as "new entrants" to gaining consumer trust reflects the industry's evolution from "Made in China" to "Intelligent Manufacturing in China" [3] - The focus on quality and innovation positions the industry for future growth in smart and connected vehicle markets, indicating a robust economic foundation driven by innovation [3]

走进南京市政协文史馆，一面五星红旗居中陈列，熠熠生辉，这是2025年6月6日即南京市政协成立70周 年纪念日当天，在天安门广场庄严升起的中华人民共和国国旗。从首都北京的晨曦到古都南京的殿堂， 这面承载重大意义的旗帜，象征着南京市政协七十载履职初心与时代使命的交汇。 2025年，是"十四五"收官与"十五五"谋篇布局的关键之年，也是南京在高质量发展道路上矢志"挑大 梁、勇争先"的重要一年。翻开市政协的年度履职画卷，映入眼帘的是一幅幅生动的场景：在人工智能 实验室里，委员与科学家们为一个技术瓶颈热烈讨论；在保障房社区消防站工地前的一次次检查，中小 学校园餐桌旁的细致询问，提案督办的脚步带来实实在在的安全感；在老山的碳通量观测塔下，政协委 员就生态环境监测埋设的传感器正悄然记录着森林的"呼吸"；在《提案正协商》栏目的镜头前，一场关 于"智慧养老"的对话牵动了数万家庭的心……智慧在一线涌动，共识在协商中凝聚。全年410份高质量 建言、782件提案、923篇社情民意信息，化作城市前行的跫跫足音，与党委政府中心工作同频，与千万 市民的期盼共振。 固本铸魂： 思想引领深植根脉 理论清醒，行动方能坚定。2025年，南京市政协组 ...

新华社布鲁塞尔1月17日电 多名欧洲议会议员17日说，鉴于美方对格陵兰岛的威胁，去年7月欧美达成 的贸易协议将无法获得通过。他们同时呼吁使用反胁迫工具回应美国加征关税。 社会民主党党团负责贸易事务的副主席、欧洲议会国际贸易委员会副主席凯瑟琳·范布伦普特也呼吁动 用反胁迫工具。她认为，美国利用关税和经济威胁强行推行非法领土主张的行为"令人发指"，这种情况 下批准欧美贸易协议"并非务实，而是愚蠢"。社会民主党党团成员、欧洲议会国际贸易委员会主席贝恩 德·朗格表示，"我们起草反胁迫措施法案时所设想的情况正在发生……我呼吁欧盟委员会立即启动相关 程序并展开调查。" 在此前达成的欧美贸易协议中，欧盟需取消对美国产工业品的关税并为美海产品和农产品提供优惠市场 准入，以换取美国对大多数欧盟输美商品征收15%的关税。《政治报·欧洲版》网站17日报道，有消息 证实，欧洲议会不会推进对该协议的批准程序，这将令欧美贸易战前景充满不确定性。 欧洲议会最大党团欧洲人民党主席曼弗雷德·韦伯在一份声明中说，欧美之间不断加剧的紧张局势意味 着欧洲议会不会支持该协议。鉴于美方对格陵兰岛的威胁，该党现阶段无法批准该协议，对美国相关产 品的零关税 ...

交汇点讯 北方强冷空气正加速东移南下，自1月18日夜里起，江苏将迎来一次明显的降温、降雪及大风 天气过程。江苏省气象台首席预报员喜度解读，本轮降雪的最强时段锁定在19日至20日上午，全省将经 历"雨雪+大风+断崖式降温"三重考验，后续还将面临持续低温冰冻天气，需重点做好防范应对。 新华日报·交汇点记者 张宣 冷空气带来的降温幅度尤为显著，堪称"断崖式"降温。预计未来48小时，全省最低气温降幅达8～ 10℃，局部地区可达11～12℃。其中，19日至21日徐州、宿迁、淮安、扬州、泰州、南京、镇江和常州 地区48小时最低气温将下降10℃左右，连云港、盐城、南通、无锡和苏州地区下降8～9℃。伴随降温的 还有强劲北风，陆上风力可达7～8级，江河湖库及近海海面风力8～9级，18日夜里到19日，连云港海 区、盐城海区和南通海区还将出现阵风9级左右的偏北大风。 降雪过后，低温冰冻将成为主要天气特点。21日至24日，全省将持续低温，过程最低气温出现在21日至 23日早晨：淮北地区-9℃到-13℃，东南部地区-4℃到-6℃，其他地区-6℃到-9℃。受降雪残留影响，全 省大部分地区届时可能出现道路结冰，对交通出行构成较大威胁。 目 ...

Core Insights - The article highlights the significant ecological improvements in Taihu Lake, with a focus on the successful management and restoration efforts leading to increased biodiversity and improved water quality [1][3][6]. Group 1: Ecological Restoration and Biodiversity - Taihu Lake has seen a threefold increase in bird species over the past decade, with 243 species recorded, including 7 national first-class protected species and 32 second-class protected species [1]. - The comprehensive nutrient index of Taihu Lake's water in Wuxi has dropped to 51.5, and the biodiversity index has reached an "excellent" level, marking the best water quality since 2007 [1][3]. Group 2: Sediment Management - The "Taihu Star" and "Taihu Light" dredging platforms have processed 3 million cubic meters of sediment since their launch in March 2024, equivalent to removing the sediment from 3.2 standard swimming pools daily [2][3]. - Wuxi has completed over 5 million cubic meters of sediment removal in the past year, accounting for more than 70% of the total sediment removal in Taihu Lake since 2007 [3]. Group 3: Pollution Control and Wastewater Treatment - Wuxi has invested over 100 billion yuan annually in Taihu Lake management over the past four years, focusing on controlling pollution from industrial, domestic, and agricultural sources [5]. - The new underground wastewater treatment plant in Wuxi has a daily processing capacity of 100,000 tons, serving approximately 857,000 residents and over 500 enterprises [4]. Group 4: Integrated Water Management - Wuxi's river systems contribute about 85% of the inflow to Taihu Lake and bear approximately 75% of the pollution load, making them critical for both water supply and pollution control [6]. - By 2025, all 13 major rivers entering Taihu Lake are expected to achieve Class II water quality, a significant improvement from 8 rivers in 2024 [6]. Group 5: Community Engagement and Tourism - The reopening of the "Taihu Scenic" boat tours has attracted 2.97 million visitors in one year, showcasing the achievements in lake management and promoting regional tourism [7]. - The ongoing efforts in ecological restoration and pollution control have transformed Wuxi into a model for sustainable urban development, enhancing the quality of life for residents and visitors alike [7].

Group 1 - The meteorological department predicts that from the night of January 18 to the morning of January 20, most areas in the province will experience moderate to heavy snow, with some areas facing blizzard conditions. From January 21 to 24, the entire province will face freezing challenges [1] - Emergency management departments across the province are taking swift action to prevent risks associated with the low-temperature rain, snow, and freezing disasters, ensuring the safety of people's lives and property as well as social order stability [1] - The Wuxi Disaster Prevention and Mitigation Committee held a video conference to deploy detailed work, emphasizing the implementation of a two-way direct communication mechanism for warning information and work directives [1] Group 2 - The Xuzhou Disaster Prevention and Mitigation Committee Office organized relevant departments to conduct tabletop exercises simulating severe cold air leading to widespread low-temperature rain, snow, and freezing disasters [2] - Xuzhou released important weather response work tips to various sectors, including education, fire, transportation, and emergency management, clarifying work priorities and prevention requirements [2] - The Nantong Emergency Management Bureau organized experts to conduct safety inspections and guidance in enterprises, focusing on key devices and pipelines' frost protection and maintenance [2]