Group 1 - The inspection and testing industry in China has experienced rapid development, with stable revenue growth and improved quality and efficiency [1][2] - In 2024, the total revenue of the inspection and testing industry reached 487.597 billion yuan, representing a year-on-year growth of 4.41%, indicating a sustained positive growth trend [1] - The average revenue per institution increased by 515,100 yuan, and the average revenue per report rose by 110.89 yuan, reflecting a significant enhancement in the "value" of inspection and testing institutions and reports [1] Group 2 - The number of inspection and testing institutions in emerging fields such as new energy, new materials, and intelligent equipment continues to grow, with a higher proportion of institutions recognized as high-tech and specialized enterprises compared to the overall national level [1] - By the end of 2024, there were 6,025 institutions recognized as high-tech enterprises, accounting for 11.36% of the industry, which is 14.95 times the national average [1] - The number of domestic instruments and equipment in inspection and testing institutions reached 10.6701 million sets, with 9.9251 million sets being domestically produced, marking a year-on-year growth of 4.11% and a domestic equipment replacement rate exceeding 93% [2] Group 3 - The market regulatory authority plans to adapt to the trends of digitalization and intelligence in industry development, focusing on digital technology breakthroughs and demonstration applications in the inspection and testing service sector [2]

数字化转型已成为各行业转型升级的"必答题"，对于核能行业来说也不例外。中国核能行业协会发布的 《中国核能发展报告2025》显示，人工智能与核能呈现双向融合发展态势。一方面，核能行业积极推动 数智化升级，将人工智能技术应用于工程设计研发、工程建造、智能运维、智能决策等方面；另一方 面，核能作为低碳清洁、安全稳定的能源，也越来越受到人工智能算力行业的青睐。 术，可实时分析和预测核电站运行数据，及时发现潜在安全隐患，从而有效降低事故风险，保障核电站 安全运行。 融合应用任重道远 "信息技术的快速发展为核能行业数字化转型奠定了坚实基础。经过多年创新、积累、迭代，以大数 据、人工智能、区块链等为核心的数字信息技术正加速渗透经济社会各领域，也为核能行业数字化转型 提供了丰富技术工具。"中国核能行业协会信息化专业委员会主任、国家电力投资集团有限公司原董事 长王炳华说。 多位受访专家认为，核能行业数字化转型正由各环节、单业务层次应用，向跨业务、跨企业流通贯通与 融合应用迈进。 转型成果不断涌现 王炳华介绍，"十四五"以来，核能行业企业进一步加大数字化转型投入，创新成果不断孕育、诞生、爆 发。 中国核工业集团有限公司数字化中心 ...

近日，中国地质大学（武汉）地质微生物与环境全国重点实验室喻建新教授团队在中国科学院院士殷鸿福教 授带领下，三代地大人历经二十余年的野外植物化石采集，结合全球文献数据，构建了植物化石资料库，相关研 究成果《早三叠世：植被崩溃引发的超级温室时代》在《自然·通讯》发表。 当前，极端气候频繁发生，并不是简单的"天气变化"，可能与地球上热带森林面积减少存在正相关性。以古 示今，研究团队提出，森林不是可有可无，而是气候安全的"守门员"。 （受访单位供图） 在资料库基础上，上述研究团队制定了植物化石重建与数据规范化方案，开展沉积学证据分析，并对全球陆 表岩石类型及化学成分进行统计，首次绘制出二叠纪–三叠纪大灭绝前后至中三叠复苏阶段的全球陆地植被与岩性 演化的时空分布。 团队创新性地将植物化石资料引入气候–生物地球化学模型，进一步追踪与植物生理过程相关的关键元素迁移 模式（如光合作用效率、根系加速风化等）。研究首次实现了以数学方式定量表达植物对地球系统的响应与反馈 能力，明确指出二叠纪-三叠纪大灭绝让地球的热带森林几乎全军覆没——尤其是曾经在中国、东南亚等地茂盛生 长的巨型雨林，在极短的时间内崩塌殆尽，这场植物危机直接削弱了 ...

Core Viewpoint - The article highlights the journey of Lu Bao Group, led by Xu Bin, in transforming from a technology importer to a global leader in bridge expansion joints and road surface materials, emphasizing the importance of innovation and self-reliance in overcoming technological challenges in China [3][4][14]. Company Overview - Lu Bao Group, founded by Xu Bin, has captured over 65% of the global market share for large bridge expansion joints, showcasing its dominance in the industry [4]. - The company has developed a multi-directional bridge expansion joint device that has been successfully implemented in major projects like the Hong Kong-Zhuhai-Macao Bridge and the Hangzhou Bay Bridge, with zero replacements needed for core components [13][14]. Technological Innovations - Xu Bin's journey began with the purchase of a patent for a seamless bridge expansion joint technology, which led to the development of the first modular expansion joint in 1996 after facing challenges with imported products [11][13]. - The multi-directional expansion joint technology won the National Technology Invention Award (second prize) in 2007 and the China Patent Gold Award in 2009, marking significant recognition in the industry [14]. Material Development - In response to frequent cracking of steel bridge surfaces, Xu Bin initiated a project in 2008 to develop a new type of road surface material, ECO polyurethane, which took over a decade to perfect [15][16]. - The ECO material has demonstrated a lifespan of over 10 years on steel bridges and 20 to 30 years on concrete bridges, positioning it as a potential third major high-performance infrastructure material alongside cement and asphalt [17]. Industry Impact - The innovations from Lu Bao Group have not only established China as a leader in bridge expansion technology but have also inspired global research and development in similar fields, reinforcing the notion that true innovation stems from addressing critical challenges [3][17].

当多个CME相互碰撞时，它们的运行轨迹与强度都可能发生显著变化。这种合并还可能加速带电 粒子，改变磁场结构，使其对宇航员、卫星以及地面技术设施造成更严重威胁。"帕克"探测器的近距离 观察有助于科研人员更好地预测并应对这种空间环境效应。 太阳风是一种持续不断的带电粒子流，会穿越整个太阳系，对地球造成广泛影响。这些图像首次清 晰展示了太阳风从日冕释放后的演化过程，以及太阳磁场由北向南反转的关键边界，即"日球电流片"。 这些图像还首次以高分辨率捕捉到多个日冕物质抛射（CME）事件的相互碰撞过程。CME是太阳 喷发出的高速带电粒子团，是太空天气的主要驱动因素。"帕克"探测器显示，多个CME在空间中"叠 加"。 "帕克"探测器于2018年发射升空，任务是深入研究太阳外层大气——日冕。去年12月24日，它飞至 距离太阳表面约610万公里处，这是人类探测器首次进入太阳大气内部运行。此次飞行中，"帕克"利用 其宽视场成像仪拍摄了大量高清图像，记录了太阳日冕结构及太阳风的释放过程。 原标题："帕克"探测器拍到距太阳最近的图像 科技日报讯 （记者张佳欣）美国国家航空航天局（NASA）7月10日公布了一组震撼图像，即来 自"帕克" ...

Core Viewpoint - The construction industry is increasingly integrating technologies such as big data, IoT, and artificial intelligence, leading to improved efficiency and quality in traditional construction practices. The implementation of smart construction technologies is being accelerated by supportive policies and guidelines from the government [1][2]. Group 1: Policy and Technological Integration - The Central Committee of the Communist Party and the State Council issued guidelines to promote new urban infrastructure, emphasizing the collaboration between smart construction and industrialization [2]. - The guidelines include tasks such as deepening the application of Building Information Modeling (BIM) technology and promoting the integration of automated construction machinery and robotics [2][3]. - The Chongqing East Station project exemplifies the successful application of BIM and GIS technologies, showcasing the effectiveness of smart construction management platforms [2][3]. Group 2: AI Application and Challenges - The application of artificial intelligence in the construction industry is still in its early stages, with limited use in core areas such as design and analysis [4][5]. - Challenges include data privacy concerns, the need for high-quality training data, and the complexity of integrating multiple independent data systems [5][6]. - Despite these challenges, AI has the potential to optimize construction management, enhance safety, and break down information silos within the industry [5][6]. Group 3: Future Directions and Recommendations - To facilitate the deployment of AI in construction, local deployment of large models is recommended to ensure data privacy, although high computational costs remain a barrier [6]. - The industry is encouraged to collaborate in building a shared large model to enhance data quality and standardization, which is crucial for effective AI application [6].

Core Insights - The collaboration between UCLA's Broad Stem Cell Research Center and Aarhus University has successfully isolated adult stem cells from the gray mouse lemur, paving the way for stem cell therapies that are more aligned with human clinical needs [1][2] Group 1: Research Findings - The research team isolated muscle stem cells and mesenchymal stem cells from the gray mouse lemur, revealing that their behavior patterns are more similar to human stem cells than to those of mice [1] - The muscle tissue of the gray mouse lemur shows a high degree of microstructural similarity to human muscle, with faster division rates of muscle stem cells compared to those in mice [2] - The presence of fat cells in the gray mouse lemur's muscle tissue, which are absent in mice, is attributed to the unique adipogenic capabilities of mesenchymal stem cells, regulated by complement factor D protein [2] Group 2: Clinical Implications - The findings suggest that the gray mouse lemur is a more ideal model for human muscle research, providing new therapeutic targets for conditions such as muscle atrophy and age-related muscle loss [2] - The research team is exploring optimal delivery methods, dosage control, and timing for stem cell therapies to transition from laboratory settings to clinical applications [2]

Group 1 - The core idea of the news is the launch of the first summer camp in Berlin by Tongji University, aimed at enhancing educational exchanges and cooperation between China and Germany, with over 1,000 students expected to participate in overseas learning by 2025 [2][3][4] - The summer camp will involve 320 students and over 30 teachers from 17 departments of Tongji University, taking place in three phases [2][3] - The program is part of Tongji University's strategy to cultivate international and global talents, providing students with opportunities for immersive learning experiences in Germany [4][5] Group 2 - Tongji University has established partnerships with over 80 German universities and has initiated 55 dual degree programs, receiving nearly 1,000 German students annually [3] - The summer camp includes visits to various universities and companies, with courses covering topics such as global supply chain management and cross-cultural communication [6] - The initiative aims to foster a deeper understanding of German innovation and industry culture, enhancing students' global perspectives and cross-cultural competencies [5][6]

原标题：深潜水声世界 倾听海洋"心跳" 7月11日，辽阔的海洋深处，仿佛传来一声低沉的呜咽。我国水声工程、信息科学和水中兵器领域 杰出的科学家与教育家，航空声呐领域的开拓者和奠基人，中国工程院院士、西北工业大学教授马远良 在陕西省西安市溘然长逝，享年87岁。 倾注毕生心血，马远良用智慧倾听海洋的"心跳"，以赤子之心在深蓝疆域镌刻下永不消逝的声波航 迹。他所诠释的"敢想敢做、敢闯敢拼"的科学家精神，如同他毕生追寻的深海声呐信号，穿透时光的阻 隔，持续指引着后来者探索未知航程。 从"娃娃兵"到水声巨擘 1938年，马远良生于四川隆昌。他少年聪慧，志在北京大学物理系。然而，时代的召唤改变了他的 航向。1956年他毅然投身国防，成为西北工学院（西北工业大学前身）的一名学生。1958年，学校开办 水声工程专业，他成为首批赴中国人民解放军军事工程学院深造的8名学子之一，一头扎进神秘莫测 的"水声"世界。 深造期间，他初露锋芒。1959年暑假，他领头研制的"K4声管测量装置"，作为"国庆十周年"献礼展 出。这"麻雀虽小，五脏俱全"的装置首战告捷，点燃了他对水声事业的炽热火焰。1961年，他提前结束 深造返回西北工业大学投身 ...

Core Insights - The first phase of the Ali Primordial Gravitational Wave Detection Experiment has been completed, achieving its first light observation and successfully capturing clear images of radiation from the Moon and Jupiter at a frequency of 150 GHz, marking a significant step in China's efforts in primordial gravitational wave detection [1][2] - Primordial gravitational waves, produced during the Big Bang, are crucial for understanding the origins of the universe and are at the forefront of high-energy physics and astronomy research [1] - The experiment, initiated by a team led by Zhang Xinmin in 2014 and officially launched at the end of 2016, aims to construct a high-altitude gravitational wave telescope in the Ali region of Tibet at an elevation of 5,250 meters for sensitive ground detection of primordial gravitational waves in the northern sky [1][2] Project Development - After over eight years of development, the research team overcame challenges such as high-altitude hypoxia and successfully completed the installation and debugging of the telescope, enabling remote control and data transmission from Ali to Beijing, thus validating core design indicators [2] - The Ali Primordial Gravitational Wave Detection Experiment has become a major international collaboration project, led by the Chinese Academy of Sciences and involving 16 domestic and international research institutions, including Stanford University [1][2] - Currently, there are three main primordial gravitational wave detection experiment sites globally, with the other two led by the United States located in Antarctica and the Atacama Desert in Chile [2]