Core Insights - The intelligent hybrid bridge inspection vehicle control system, developed by a team from Wuhan University of Science and Technology and Wuhan Keda Electric Control Equipment Co., has successfully completed its first full system power-on operation at the Xinshi Jinsha River Grand Bridge [1][2] - This bridge inspection vehicle is China's first dual-directional hybrid intelligent bridge inspection vehicle located at the bottom of a bridge, utilizing lithium iron phosphate batteries and diesel power for combined charging operations [1] - The successful operation of the system marks a significant breakthrough in intelligent bridge inspection technology, providing strong technical support for bridge inspection and maintenance [1] Company and Industry Summary - The Xinshi Jinsha River Grand Bridge, a critical engineering project connecting Yibin City in Sichuan Province and Suijiang County in Yunnan Province, spans 1867 meters with a main span of 680 meters and a width of 25.5 meters, handling substantial traffic flow and maintenance responsibilities [1] - The research team has integrated high-precision multi-sensors, advanced intelligent control, and machine learning algorithms to enable the intelligent bridge inspection vehicle to detect, repair, and maintain concrete main beams, bridge bottoms, and supports, ensuring operational safety through a dual-sensor redundancy design [1] - The equipment supports 4G/5G remote monitoring and fault diagnosis, with a modular design for easy upgrades and maintenance, significantly enhancing the intelligence and reliability of bridge operation and maintenance [2] - The successful power-on operation of the system validates its reliability in real-world environments, laying the groundwork for future large-scale promotion of intelligent inspection technologies in infrastructure safety management [2]

Core Points - The article discusses the memorial service for Yang Zhenning, a Nobel Prize-winning physicist and a prominent figure in Chinese science, who passed away at the age of 103 [2][3][24] - The public response to his passing reflects a deep respect for his contributions to science and his patriotism, with many individuals traveling from various locations to pay their respects [6][36][38] Group 1 - Yang Zhenning's memorial service took place at Babaoshan Revolutionary Cemetery, attended by a large crowd dressed in mourning attire, symbolizing collective grief [3][4][6] - The service was marked by personal tributes, with attendees leaving flowers and notes expressing their admiration and gratitude for Yang's impact on their lives [10][14][19] - Many attendees, including students and professionals, shared how Yang's work and philosophy inspired them, highlighting his role as a mentor and guiding figure in their academic and personal journeys [14][18][25] Group 2 - The establishment of a memorial room at Tsinghua University’s Institute for Advanced Study allowed the public to express their condolences, with reports of around 3,000 visitors daily [6][36] - The article emphasizes the importance of honoring scientists like Yang Zhenning, who have made significant contributions to both science and national pride, fostering a culture of respect for scientific achievement [32][38] - Personal stories from attendees illustrate the profound emotional connection many felt towards Yang, showcasing how his legacy continues to inspire future generations [19][37]

同时，系统架构与通讯标准均为未来"无人驾驶+智慧矿山"预留接口，为矿山自动化、数字化运营奠定 坚实基础，形成"矿山能源生态的重构"。项目系统年发电量达1.95亿千瓦时，可满足每日700辆电动重 卡和40台电动装载机的充电需求。此次投运标志着我国新能源矿卡和重卡产业实现三大突破：首次将光 储充技术深度耦合应用于重载运输场景;首创"充电+换电"双模式协同补能体系，将补能时间由数小时压 缩至分钟级;建立矿区能源系统全生命周期管理模型。 近日，全球首个"2880kW光储充一体化搭配1056度超充矿卡"示范项目在内蒙古鄂尔多斯市正式投运。 该项目通过"光伏发电+智能储能+超级快充"技术矩阵，推出2880kW液冷超充系统，刷新全球矿卡补能 速度纪录。1056度超大电池搭配光伏绿电与储能系统，构建"自发、自储、自充"绿电闭环，让矿山 从"用外电"走向"造绿电"。 ...

Core Insights - The total profit of industrial enterprises above designated size in China reached 53,732 billion yuan from January to September, marking a year-on-year increase of 3.2%, the highest growth rate since August of the previous year, indicating a trend of accelerated recovery [1] - High-tech manufacturing has shown significant growth, with profits in this sector increasing by 8.7% year-on-year, contributing 1.6 percentage points to the overall profit growth of industrial enterprises [1] Group 1: High-Tech Manufacturing - High-tech manufacturing profits experienced a substantial increase of 26.8% in September alone, contributing 6.1 percentage points to the monthly profit growth of all industrial enterprises [1] - The growth in high-tech manufacturing is identified as a crucial driver for the high-quality development of industrial enterprises [1] Group 2: Industry-Specific Performance - In the aerospace sector, profits from the manufacturing of aerospace vehicles and equipment grew by 11.3% [2] - The smart and automated sectors saw remarkable profit increases, with smart consumer devices, electronic components, and specialized electronic equipment manufacturing profits rising by 81.6%, 39.7%, and 25.5% respectively [2] - Precision instrument manufacturing also showed strong performance, with profits in optical instrument manufacturing and specialized instrument manufacturing increasing by 45.2% and 17.5% respectively [2] Group 3: Equipment Manufacturing - The profit of the equipment manufacturing sector rose by 9.4% year-on-year, surpassing the average growth rate of all industrial enterprises by 6.2 percentage points, contributing 3.4 percentage points to the overall profit growth [2] - All eight sub-sectors within equipment manufacturing reported profit growth, with notable increases in railways, shipbuilding, aerospace, electronics, and electrical machinery, with profits growing by 37.3%, 12%, and 11.3% respectively [2]

记者10月27日从中国科学院新疆理化技术研究所获悉，该所桂东伟研究员团队历时五年编纂的《世 界绿洲分布数据与编目》近期发布。这一成果全面厘定了全球绿洲的确切数量与面积，建立了世界第一 份覆盖全球、多维度、跨学科的绿洲系统名录，填补了全球绿洲数字化编目工作的空白。 绿洲是干旱区荒漠基质上因稳定水源驱动形成的非地带性地理单元，是干旱区生物的重要栖息地， 也是人类生产生活的基础和人类文明的重要载体。长期以来，全球绿洲分布数字化的基础性研究存在缺 失，严重制约了绿洲科学的定量研究与系统性发展。 （原载于《科技日报》 2025-10-28 06版） 桂东伟介绍，《世界绿洲分布数据与编目》共包含54个数据文件，由全球变化科学研究数据出版系 统世界数据中心出版并提供共享服务，向全世界免费开放。 该研究选取了绿洲所在的大洲、国家、河流和绿洲面积这四个最能体现绿洲特征的属性，对全球绿 洲进行编码，使每个面积大于1平方千米的绿洲都被赋予了唯一的ID。绿洲由此有了明确的"身份"。 桂东伟表示，未来，通过定期更新绿洲编目信息，科研人员可以精准捕捉绿洲的扩张、萎缩等动态 过程。这将为科学评估生态系统健康状态和演变趋势提供量化依据。 针 ...

Core Viewpoint - The successful assembly of the world's first hydrogen-ammonia dual-fuel gas turbine unit in Inner Mongolia marks a significant breakthrough in zero-carbon hydrogen-ammonia dual-fuel power generation technology, providing new support for the construction of a global clean energy system [1] Group 1: Technology and Innovation - The gas turbine unit is developed by Mufan Power, a high-tech enterprise invested by Envision Group, and is the first in China capable of generating power using 100% ammonia fuel [1] - The hydrogen-ammonia gas turbine is an efficient zero-carbon innovative power generation device, particularly advantageous in scenarios of new energy consumption and long-term energy storage [1] - The unit features unique dual-fuel combustion technology, possesses 100% independent intellectual property rights, and utilizes fully domestically produced components [1] Group 2: Performance and Capacity - The annual power generation capacity of a single unit can reach up to 70 million kilowatt-hours [1] - It is the only power generation device globally that can switch between three fuels: hydrogen, ammonia, and natural gas [1] Group 3: Industry Impact - The technology will successfully establish a complete industrial chain loop from "wind-solar green electricity - green hydrogen-ammonia - green electricity," forming a complete ecosystem from energy production to consumption [1]

Core Points - The "Tibet Autonomous Region Glacier Protection Directory" has been officially completed, marking a significant advancement in ecological protection in high-altitude areas of China [1][2] - A total of 223 glaciers have been included in a graded protection system, based on a comprehensive survey of over 50,000 glaciers conducted in 2023 [1] - The directory categorizes glaciers into three levels: 21 glaciers as Level I, 112 as Level II, and 90 as Level III, based on ecological, scientific, and rarity values [1][2] Summary by Sections Glacier Protection Mechanism - The directory establishes a scientific protection mechanism for glaciers in Tibet, which is the first systematic effort to protect glacier resources in the region [1] - It provides a basis for glacier rights registration and ecological red line delineation, along with differentiated management measures to reduce human impact on fragile glacier ecosystems [1] Legislative Framework - The compilation of the directory is a concrete implementation of the "Tibet Autonomous Region Glacier Protection Regulations" enacted last year [2] - Experts emphasize the critical role of glaciers as "solid water reservoirs" and "climate indicators" in maintaining water resource balance and biodiversity [2] Future Management Plans - The Tibet Autonomous Region plans to implement a dynamic updating mechanism for the directory, revising it every five years and making it publicly available [2] - Future management will combine graded and local management approaches, strictly approving land use in glacier areas and enhancing glacier protection management efficiency [2]

Core Viewpoint - The development of a miniaturized airborne gas sensing module by a team at Civil Aviation University of China enables drones to detect carbon monoxide (CO) concentrations as low as one part per million and create three-dimensional concentration distribution maps, marking a significant advancement in low-altitude environmental sensing technology [1][4]. Group 1: Technological Breakthrough - The new technology integrates hardware and software, allowing the sensor to function as an organic part of the drone's perception system, enhancing its ability to monitor environmental conditions [4]. - The gas sensing module, which is the size of a coin, utilizes nanocomposite materials to achieve high-performance CO detection, with a detection limit down to one part per million and a response time reduced to seconds [4][5]. - The system can provide early warnings for lithium battery thermal runaway by detecting CO, a characteristic gas produced during the early decomposition of the battery's electrolyte [4][5]. Group 2: Applications and Industry Impact - The technology has completed laboratory validation and initial flight tests, showing excellent performance stability, and is moving towards industrialization with partnerships in various sectors including environmental protection and emergency management [6]. - In smart environmental monitoring, drone fleets can conduct regular, grid-based surveillance to create high-resolution real-time 3D pollution maps and identify pollution sources accurately [6]. - In emergency rescue scenarios, drones can quickly arrive at accident sites and create real-time 3D diffusion maps of toxic gas clouds, providing precise guidance for rescue operations and public evacuation [6][7].

Core Insights - Generative AI (GenAI) is emerging as a powerful engine driving advancements in life sciences, enhancing the potential of biotechnologies like CRISPR and cell engineering, with promising applications in drug development, precision medicine, and brain-computer interfaces [1][2]. Group 1: Economic Impact - GenAI is projected to create an economic value of approximately $60 billion to $110 billion annually for the pharmaceutical and healthcare industries, significantly improving efficiency and innovation across the entire value chain [2]. - The time frame for drug value realization has decreased from 9.8 years to about 7.1 years over the past 20 years, a reduction of 18 months, due to GenAI accelerating the development, approval, and market entry of therapies [2]. Group 2: Precision Medicine - GenAI is facilitating a shift from a one-size-fits-all approach to personalized healthcare, considering individual genetic traits, lifestyle, and environmental factors [3]. - By 2025, multi-modal models capable of processing text, images, genomic data, and real-time health monitoring will become mainstream, enhancing diagnostic efficiency and clinical decision-making [3]. Group 3: Brain-Computer Interfaces - GenAI is enabling seamless neural signal decoding, allowing direct communication between the brain and digital devices, thus opening new pathways for human-computer interaction [4]. - A non-invasive brain-computer interface system developed by UCLA researchers has shown significant improvements in the performance of paralyzed patients in controlling devices through intention decoding [4][5]. Group 4: Challenges and Considerations - The development of GenAI faces challenges, particularly regarding model interpretability and transparency, which can affect trust and hinder widespread adoption in medical settings [5]. - Concerns about data privacy and security arise from the need for large datasets to train AI models, highlighting the importance of addressing these issues as GenAI continues to evolve [5].

这类有机芯片的最大优势在于其低功耗特性。由于其运作机制更接近生物神经系统，因此在待机或非活 跃状态下几乎不消耗能量，这可能为未来的计算设备带来显著的能效和经济优势。 此外，与依赖稀有金属、高能耗制造过程和难以降解的传统电子元件相比，真菌基设备具有可生物降 解、原材料易得和生产成本低廉的特点，有助于减少电子垃圾，推动可持续发展。虽然真菌用于计算的 概念并非首次提出，但这项研究首次系统地展示了如何将常见食用菌训练成具备实用功能的忆阻系统， 并探索了其性能极限。 长期以来，蘑菇因其强大的适应性和独特的生物结构而备受关注。它们内部由细密的菌丝网络构成，这 种天然的导电潜力使其成为生物电子学领域极具前景的材料。团队此次发现，通过特定方式培养并脱水 处理后的香菇和蘑菇样本，可连接到电路中。在施加不同电压和频率的电流后，表现出稳定的记忆效 应。这种效应与传统半导体芯片中的忆阻行为相似，意味着这些有机材料能像计算机内存一样，在断电 后仍保留信息。 团队在蘑菇的不同部位接入电极，利用其组织内部的差异性导电特性进行测试。两个月的实验表明，当 用作随机存取存储器时，这些基于真菌的忆阻器每秒可完成高达5850次信号切换，准确率约为9 ...