Core Insights - The Yangtze River Ecological Environment Protection and Restoration Joint Research Center has developed over 200 key technologies and equipment since its establishment, providing more than 1,800 technical solutions to 66 cities along the river [1][2] - Compared to non-stationed cities, the improvement in water quality in stationed cities is 18.3% higher in 2024 than in 2018 [1] - The center has established a comprehensive technical system for phosphorus pollution control and a full-chain technical system for water ecological investigation, assessment, and restoration [2] Group 1 - The Yangtze Center has gathered 305 research institutions and over 5,000 researchers to address ecological issues in the Yangtze River basin [2] - The center has created the largest ecological environment scientific data center and smart decision-making platform in the Yangtze River basin [2] - The ecological environment protection efforts have entered a new stage of "initial recovery" and "strengthening," but challenges remain, such as the health of small watersheds and uncertainties due to global climate change [2][3] Group 2 - The Ministry of Ecology and Environment plans to deepen technological breakthroughs during the 14th Five-Year Plan period to consolidate ecological governance achievements [3] - There is a focus on addressing issues like comprehensive management of small watersheds and pollution prevention during flood seasons [3] - The establishment of the Yangtze Ecological Environment Scientific Observation Research Network aims to support ecological protection efforts through advanced technologies like artificial intelligence [3]

Core Insights - The integration of "quantum + supercomputing" is gradually entering the military sector, emphasizing the need to enhance operational demand perception and maintain sensitivity to technological applications [2] - The center has completed all nodes of its preliminary research project on schedule, with overall progress ahead by approximately six months [2] - The center aims to develop a new military demand response and technical solution design mechanism in the fields of cloud-native, artificial intelligence, and quantum technology by early 2025 [2] Group 1 - The center is actively adapting to changes in warfare, technology, and adversaries, combining operational demands with technological advancements [2] - Research teams are working on the "cyber + perception" empowerment system to improve real-time discovery, precise identification, cross-domain integration, and rapid service capabilities in combat environments [3] - The center has transformed scattered reconnaissance and mapping data into a unified "situation map" and "fact source," receiving unanimous praise from frontline units [3] Group 2 - The center's leadership emphasizes the importance of materializing advanced concepts into usable equipment for warfare [2] - Researchers are deeply integrated with frontline tasks to ensure alignment in demand reporting, process control, and acceptance delivery [2][4] - Future plans include continued collaboration with military units to better serve their needs [4]

Core Viewpoint - Recent advancements in mineral resource exploration in China, particularly in chromium ore and unconventional oil and gas, have been reported by the Ministry of Natural Resources and the China Geological Survey [1] Group 1: Chromium Ore Exploration - A joint effort between the China Geological Survey and the Xinjiang Uygur Autonomous Region's Natural Resources Department has led to the discovery of the Salt Lake 27 ore cluster, identifying 20 ore bodies with an average grade of 30.73%, marking the largest mineral discovery in the region in nearly 40 years [1] - Chromium ore is classified as a strategic mineral in China, essential for smelting special alloys containing cobalt, nickel, and tungsten, and is critical for industries such as aerospace, automotive, and shipbuilding [1] Group 2: Unconventional Gas Exploration - Collaboration with the Hubei Provincial Geological Bureau has resulted in a breakthrough in industrial gas flow within the Lower Permian shale formation in western Hubei, expanding shale gas exploration from the Sichuan Basin to the western Hubei region [1] - The project has added 1329.5 billion cubic meters of geological resources of shale gas, reinforcing the resource foundation for the shale gas base in western Hubei [1] - The theoretical understanding of reservoir formation and efficient recovery techniques developed from this project will provide significant guidance for shale gas exploration in complex structural areas, holding substantial theoretical and practical significance [1]

Core Viewpoint - The "Artificial Intelligence + Manufacturing" initiative aims to deeply integrate AI technology with the manufacturing industry, enhancing innovation and application capabilities by 2027 [1] Group 1: Key Objectives - By 2027, China aims to achieve reliable supply of key AI technologies, maintain a leading position in industry scale and empowerment, and promote the application of 3-5 general large models in manufacturing [1] - The initiative plans to launch 1000 high-level industrial intelligent entities and create 100 high-quality datasets in industrial fields, along with promoting 500 typical application scenarios [1] - The goal includes nurturing 2-3 globally influential ecosystem-leading enterprises and a number of specialized small and medium-sized enterprises, while establishing 1000 benchmark enterprises [1] Group 2: Key Tasks - The initiative outlines seven key tasks including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecosystem expansion, safety protection, and international cooperation [1] - In the area of innovation foundation, there will be a focus on enhancing AI computing power, supporting the development of high-end training chips, and creating high-performance algorithm models tailored for manufacturing [2] - The intelligence upgrade will involve empowering key industries, promoting smart factory development, and encouraging leading enterprises to implement AI applications [2] Group 3: Product Development - The initiative emphasizes the iteration of smart equipment, integrating AI technology into the development and manufacturing of major technical equipment like aircraft and ships, and advancing smart low-altitude equipment [3] - There will be a push for upgrading smart terminals, fostering innovation in AI-enabled products such as smartphones and smart home devices, and establishing testing bases for humanoid robots [3] - Policies will be reinforced to guide enterprises in differentiated development, prevent "involution" competition, and attract more social capital for investment in AI and manufacturing technologies [3]

Core Insights - The integration of "quantum + supercomputing" is gradually entering the military sector, driven by the need to enhance operational demand perception and maintain technological sensitivity [1] - The center is focusing on cloud-native, artificial intelligence, and quantum technology to establish a new mechanism for military demand response and technical solution design in the cyber domain by early 2025 [1] - The center has completed all nodes of its preliminary research project on schedule, with overall progress ahead by approximately six months [1] Group 1 - The center's leadership emphasizes the importance of transforming advanced concepts into tangible military equipment, highlighting the need for deep integration with frontline tasks [2] - A research team is developing a "cyber + perception" empowerment system to enhance real-time detection, precise identification, cross-domain integration, and rapid service capabilities in combat environments [2] - The team has successfully transformed fragmented reconnaissance and mapping data into a unified "situation map" and "fact source," receiving unanimous praise from frontline units [2] Group 2 - The center plans to continue its close collaboration with military units to better serve their needs in future operations [3]

Core Viewpoint - The innovative technology developed by the team led by Academician Li Can from the Dalian Institute of Chemical Physics can convert toxic hydrogen sulfide into clean energy and high-value chemical products, marking a significant advancement in addressing environmental pollution from industries such as natural gas and petrochemicals [1][2]. Group 1: Technology Development - The technology for the complete electro-catalytic decomposition of hydrogen sulfide into hydrogen and sulfur has been recognized as internationally leading and is recommended for scale-up and application [1]. - The research team has successfully built a pilot demonstration facility in Xinxiang, capable of processing 100,000 cubic meters of hydrogen sulfide annually, achieving over 1,000 hours of stable operation [1][2]. - The technology has led to the production of sulfur with a purity greater than 99.95% and high-purity hydrogen gas exceeding 99.999% [1]. Group 2: Environmental Impact - Hydrogen sulfide, a common byproduct in natural gas extraction, oil refining, and coal chemical processes, poses significant health risks and environmental pollution, including acid rain formation [1]. - Utilizing renewable energy sources to drive this technology can effectively eliminate pollution while recovering substantial amounts of "green hydrogen," contributing to a clean and low-carbon energy system in China [3]. Group 3: Industrial Application - The technology provides a new pathway for the complete elimination and resource utilization of hydrogen sulfide, offering dual resource recovery of hydrogen and sulfur, which can enhance the production of clean low-carbon hydrogen in various industrial sectors [3]. - Future applications of this technology are expected to be promising in coal chemical, petrochemical, and oil and gas extraction industries [3].

研究团队瞄准接触式传热，给热池内壁做了层超滑处理，让固态的相变材料不粘壁，靠自身重力一直紧 贴底部热源，近距离接受不断传来的热量，使"热池"全程保持高传热速率。该方法不依赖特殊的相变材 料，只通过优化相变热池内壁环境实现高效传热。 这一核心思路最终落地为"全固态复合表面"，其由能脉冲加热的薄膜（预热层）与覆盖在薄膜表面 的"类液涂层"（滑移界面）组成。"就像在锅底涂了一层超顺滑的特殊涂层，再用小火快速预热锅底， 把一块黄油放上去。不仅不粘锅，还能自己滑动着快速熔化。"范利武介绍，除此以外相变材料会在自 身重力作用下持续下沉，把熔化产生的液膜压得更薄，全程紧贴加热表面高效传热。"该技术最核心的 优势，是实现了'快充'与'高储'的双赢。"范利武说。 （文章来源：科技日报） 浙江大学能源工程学院研究员范利武团队与其合作者提出全新的"滑移强化接触熔化"机制，用"全固态 复合表面"给相变热池内壁做了个"滑溜溜的改造"，为打破储能量大与充放热速度快之间的矛盾，提升 相变热池的性能提供了新思路。相关研究成果8日发表在国际期刊《自然》上。 电池是现代生活不可或缺的设备，而"热池"作为热能存储装置，与电池原理相似，可实现热量的 ...

Core Viewpoint - The newly released "Regulations on the Supervision and Management of Platform Rules for Online Trading" aims to standardize the formulation, modification, and execution of platform rules, ensuring fair practices and protecting the rights of all parties involved in online transactions [1] Group 1: Regulatory Focus - The regulations target online trading platform operators as the "key minority" responsible for maintaining order in online transactions [1] - The regulations emphasize the need for platforms to fulfill their responsibilities in the formulation and execution of platform rules [1] Group 2: Obligations and Mechanisms - Platforms are required to establish mechanisms for public information disclosure, soliciting public opinions, setting transition periods, and providing complaint channels [1] - The regulations mandate platforms to create effective communication and negotiation mechanisms for significant rule changes and dispute resolution [1] Group 3: Restrictions on Platform Rules - Platforms are prohibited from imposing unreasonable restrictions on the autonomous business activities of operators within the platform [1] - The regulations prevent platforms from charging unreasonable fees, penalties, or damages, and from undermining consumer rights or shifting responsibilities unfairly [1] - Practices such as "big data price discrimination" and arbitrary changes to platform rules that harm member rights are explicitly forbidden [1]

科技日报记者 刘园园 据介绍，此次发布的"坤安"2.0，是中铝集团以国家战略需求为指引，紧密围绕行业痛点难点，将人工智能技术全面融入有色金属工业全链条，构建的覆盖 生产全流程的智能化发展体系。"坤安"2.0将驱动地质勘探、矿产开采、冶炼加工、再生利用等全场景业务流程变革。 大会期间还举行了有色金属行业高质量数据集联盟成立仪式和"坤安杯"AI应用创新大赛颁奖仪式，发布了《面向有色金属行业数智化安全治理框架》。 推动人工智能与实体经济深度融合，是有色金属行业迈向高质量发展、培育新质生产力的必由之路。中铝集团持续推动人工智能科技创新与产业创新深度融 合，示范引领行业数智化转型升级。2024年12月，中国有色金属工业协会与中铝集团共同发布有色金属行业首个人工智能大模型"坤安"及18个具有行业推广 潜力的场景落地应用。2025年以来，中铝集团将人工智能的触角深入产业核心环节，推进建设百余个应用场景。此次成果发布会从中筛选出52个场景正式发 布，建成8个行业高质量数据集，在行业全领域场景落地应用中取得显著成效。 据悉，有色金属行业高质量数据集联盟由中国有色金属工业协会和中铝集团联合发起，首批10家成员单位涵盖有色金属行业 ...

Core Insights - The article highlights the significant role of AI in early cancer detection, particularly in identifying pancreatic cancer that may be missed by doctors [1][2] Group 1: AI Technology and Impact - The DAMO PANDA AI model, developed by Alibaba's DAMO Academy, has analyzed over 180,000 CT scans at Ningbo University Affiliated People's Hospital, leading to the discovery of 24 cases of pancreatic cancer, with 14 being early-stage [1] - The AI system is capable of amplifying and capturing subtle lesions in CT images that are difficult for the human eye to detect, thereby improving early cancer detection rates, especially in opportunistic screening scenarios [2] Group 2: Collaborative Efforts and Regulatory Approval - The pancreatic cancer AI early screening project is a collaborative pilot initiative involving multiple institutions, including Ningbo University Affiliated People's Hospital, Shanghai Pancreatic Disease Research Institute, Jiaxing Second Hospital, and several community hospitals [2] - The PANDA model received "breakthrough medical device" designation from the U.S. Food and Drug Administration (FDA) in April last year, which accelerates the review process for advanced diagnostic tools to be made available to patients and healthcare providers [2]