Core Insights - The "Virtual Laboratory" developed by Stanford University aims to enhance scientific discovery through AI-driven collaboration among interdisciplinary teams [1][2] - The system operates similarly to traditional labs but is led by an AI Principal Investigator (AI PI) who assembles a team of virtual agents based on project needs [1] - The efficiency of the "Virtual Laboratory" significantly surpasses traditional methods, with discussions and meetings completed in seconds and minimal human intervention [1] Vaccine Development - The AI system has shown great potential in vaccine design, opting for smaller nanobodies over traditional antibodies to combat new virus variants [2] - Experimental results indicate that AI-designed nanobodies are structurally stable and exhibit superior binding capabilities to viral spike proteins compared to existing antibodies, effective against both original and new variants [2] - The research team is iteratively optimizing molecular designs by feeding experimental data back into the system [2] Data Analysis and Multidisciplinary Applications - The team has also developed data analysis agents to reassess complex datasets from published papers, revealing new findings often overlooked in traditional research [2] - The collaboration between experts from diverse backgrounds and advancements in AI technology has led to this groundbreaking approach, indicating a broad potential for the "Virtual Laboratory" across multiple disciplines [2]

Core Insights - The article highlights the operational efficiency and significance of the Sanxia Binhai Energy Storage Power Station, which is the largest string-type energy storage station in China, capable of discharging 400 MWh of clean energy into the grid [1][2]. Group 1: Operational Efficiency - The Sanxia Binhai Energy Storage Power Station performs an average of 1.5 charge and discharge cycles daily to meet the peak electricity demand in the Yangtze River Delta region during high-temperature periods [1]. - The station can release up to 800,000 kWh of clean energy during peak hours, which is equivalent to the daily electricity needs of 300,000 residents [1][2]. Group 2: Technological Advancements - The energy storage station acts as a "stabilizer" for the power system, providing rapid response capabilities to stabilize grid frequency fluctuations, thereby enhancing the consumption of renewable energy [2]. - As of the end of May, the station has completed 557 charge and discharge cycles, delivering a total of 18,600 MWh of energy to the grid, showcasing its high utilization rate [2]. Group 3: Cost Efficiency - The Sanxia Binhai Energy Storage Power Station operates independently, allowing it to directly connect to the grid and participate in power regulation services, which can reduce construction costs for renewable energy plants by over 10% [3]. - The "1-to-N" model allows wind and solar power plants to lease storage capacity, improving storage utilization rates to 88% [3].

Core Viewpoint - The research team from the University of Science and Technology of China has developed the world's fastest subcellular resolution 3D imaging technology for small animals, enabling the first detailed 3D mapping of the entire neural network in mice, which provides a new tool for studying peripheral nerve regulation networks and disease mechanisms [1][2]. Group 1 - The innovative imaging technology functions like a "super CT scanner" for small animals, completing full-body imaging of adult mice in just 40 hours, generating approximately 70TB of raw image data, equivalent to thousands of HD movies [2]. - The efficiency of this imaging technology has improved several to dozens of times compared to existing methods, with resolution enhanced from tissue-cell level to uniform subcellular level, allowing clear capture of individual nerve fibers with diameters of a few micrometers [2]. - This breakthrough enables precise analysis of the 3D connectivity of different types of peripheral nerves, including cranial, spinal, and autonomic nerves, providing technical support for mapping central-peripheral nerve structures and understanding disease mechanisms [2]. Group 2 - The technology is expected to address numerous unresolved questions in neurobiology, developmental biology, anatomy, and biomedicine, and can be applied in biomedical research and disease mechanism analysis, laying a solid foundation for the development of precise neural regulation therapies in the future [2].

Core Insights - The discovery of four new bat species in the Gaoligong region enhances China's biodiversity and provides significant data for global bat research [1] - The total number of known bat species in China has been updated to 167, with the Gaoligong region now accounting for 51 species [1] Group 1: Discovery and Research - The research team conducted multiple biodiversity surveys in the Gaoligong area of Yunnan Province, identifying four previously unrecorded bat species: Round-eared Bat, Golden-haired Bat, Hairy-footed Bat, and Short-footed Bat [1] - The findings indicate that the bat diversity in the Gaoligong region may have been underestimated, highlighting its importance in biodiversity conservation [1] Group 2: Ecological Importance - Bats play a crucial role in ecosystems by controlling insect populations and aiding in pollination and seed dispersal [1] - The discovery of new species contributes to a more comprehensive understanding of bat evolution, ecological habits, and their role in ecosystems [1] Group 3: Conservation Recommendations - The Gaoligong region is located at the intersection of three global biodiversity hotspots, making it rich in biodiversity but also highly threatened [2] - The research team recommends enhancing biodiversity protection efforts in the region, emphasizing the need to consider seasonal habitat requirements of species when formulating conservation measures [2]

科技日报讯 （记者张梦然 实习生周思彤）新一期《自然评论·生物多样性》杂志发表的一项研究显 示，基因编辑技术与传统保护手段结合，将成为拯救濒危物种的关键。 原标题：基因编辑技术将成濒危物种"救星" 不过，该技术存在多重风险：CRISPR等基因编辑技术可能产生脱靶效应，基因多效性在研究较少 的物种中难预判，"选择性清除"可能降低基因组多样性；公众质疑和监管滞后也构成阻碍。 专家强调，基因编辑无法替代传统保护，需在栖息地恢复、反盗猎等措施使种群回升后使用。它虽 非"万能药"，但在气候剧变和栖息地破碎化的当下，为濒危物种存续带来了新希望，成为生物多样性保 护的重要补充工具。 当前生物多样性锐减导致物种遗传多样性持续流失，而遗传多样性是物种适应环境和抵抗疾病的核 心。传统保护措施虽能增加种群数量，却无法恢复已丢失的基因多样性，其自然恢复往往需要数千年。 鉴于此，研究团队表示，博物馆的百年标本可提取已丢失的基因变体，经编辑后重新引入野生种 群。"辅助适应"策略还能从近缘物种引入关键基因，类似农业中番茄植入芥菜抗寒基因、栗树获得小麦 抗病基因的模式。 ...

"空调的热排放就像在城市地表放置了'小型热气球'，推动湿润空气快速上升，进而形成更多、更强的 局地暴雨。"黄津辉比喻说。 随着全球变暖，空调使用将更加频繁，这意味着城市的短时暴雨可能会更加频繁和剧烈。研究团队建议 从两方面应对：一方面需要提高空调设备的能效，减少废热排放;另一方面，在城市规划中，应更多地 考虑绿色基础设施，比如增加城市绿化、使用冷却路面材料等，以降低城市热岛效应，从而减轻空调废 热带来的负面影响。 近日，北京多地遭遇短时强降雨(俗称"城市暴雨")。记者从南开大学获悉，该校黄津辉教授团队的最新 研究指出，空调排放的废热可能显著增强城市夏季暴雨强度，这一发现为极端天气治理和城市规划提出 了新挑战。相关研究成果发表在《大气研究》上。 研究发现，空调在制冷过程中产生的大量废热排放到室外后，会显著改变城市天气模式。研究团队以深 圳—香港这一全球人口最密集、能源消耗最密集的沿海区域为例，利用高精度的气象模型，深入探索了 空调废热对夏季短时强降雨的影响。 研究结果显示：在开启空调的情景下，深圳城市地区的短时强降雨峰值强度平均提升约22%，香港则提 升约3%。具体而言，高密度高层建筑区域的降雨增强尤为明显。 ...

7月25日，中国科学院直属机关党委和科学出版社联合举办"弘扬科学家精神 树立良好作风学 风"——《百位著名科学家作风学风故事》出版座谈会。 "我们需要《百位著名科学家作风学风故事》这样的书，将老一辈科学家的精神传递给现在的青年 科技工作者。""书中写的不仅是事迹，更是中国科学界的精神坐标系。""我们要坚持初心，将科学家精 神内化于心外化于行。"会上，多位科研人员分享了书中科学家的感人故事，以及这些故事带来的深刻 启迪与激励。 "我与先生接触最多。博士毕业后，我每两三周去看望先生一次。"韩金林回忆道，"先生给我讲得 最多的是，我们的国家还很穷，科研经费有限，不能靠砸钱去和国外比拼，要发挥我们的聪明才智，用 最少的钱做出最好的成果。" 如今，韩金林正身体力行地传承着王绶琯先生的理念。他带领团队，始终将目光锁定在世界科技前 沿的重大科学问题上，早先他利用国外望远镜和文献数据，揭示了银河系磁场结构，成果进入多本国际 经典教科书；现在他正在利用"中国天眼"发现脉冲星，力争做出更大成果。 书中还有许多这样感人的故事：有的科学家为国家解决重大难题，却一生低调简朴，连一张公家信 纸都不肯私用，其淡泊名利的气节令人肃然起敬；有 ...

Core Viewpoint - The research team from the Chinese Academy of Sciences has developed a new method using high-resolution satellite remote sensing technology to quantify methane emissions from landfills, which is crucial for addressing climate change [1][2]. Group 1: Methane Emissions from Landfills - Landfills are the third-largest anthropogenic source of methane emissions, contributing approximately 18% of global anthropogenic methane emissions [1]. - The study successfully quantified methane emissions from 102 landfills globally, revealing that management practices significantly affect methane emissions [1]. - Open landfills, lacking strict protective measures, have an average methane emission intensity 4.8 times higher than scientifically managed landfills [1]. Group 2: Methodology and Findings - The research utilized advanced satellites with a spatial resolution of 30 meters and a spectral resolution of 10 nanometers, combined with innovative algorithms [1]. - The current global atmospheric research emission databases severely underestimate methane emissions from open landfills [1]. - The new method provides a systematic assessment of methane emissions differences based on landfill management practices, offering scientific evidence to correct existing database biases [1]. Group 3: Recommendations and Future Implications - The research team calls for the international community to enhance landfill facilities and establish a global satellite monitoring data-sharing platform [2]. - Satellite remote sensing technology can achieve unprecedented temporal and spatial resolution for quantifying methane emissions from landfills globally [2]. - The study is expected to shift monitoring models from isolated measurements to a large-scale, continuous monitoring system similar to weather forecasting [2].

Core Viewpoint - The research team from the Chinese Academy of Sciences has developed a new method using high-resolution satellite remote sensing technology to quantify methane emissions from landfills, which is crucial for addressing climate change [1][2]. Group 1: Research Findings - Landfills are the third-largest anthropogenic source of methane emissions, contributing approximately 18% of total emissions [1]. - The study successfully identified and quantified methane emissions from 102 landfills globally, utilizing advanced satellite technology with a spatial resolution of 30 meters and a spectral resolution of 10 nanometers [1]. - The management practices of landfills significantly affect methane emissions, with open landfills (lacking strict protective measures) exhibiting an average methane emission intensity 4.8 times higher than scientifically managed landfills [1]. Group 2: Implications and Recommendations - The research calls for the international community to enhance landfill facilities and suggests establishing a global satellite monitoring data-sharing platform to ensure equitable access to critical emission data for resource-limited countries [2]. - The new method improves monitoring precision and breadth, providing a reliable data foundation for formulating emission reduction policies [2]. - Experts have praised the study for its scientific value and potential applications, indicating it represents a breakthrough in remote sensing technology for solid waste management [2].

"空调的热排放就像在城市地表放置了'小型热气球'，推动湿润空气快速上升，进而形成更多、更强的 局地暴雨。"黄津辉说。 随着全球变暖，空调使用率大幅上升，这意味着城市的短时暴雨可能会更加频繁和剧烈。研究团队建议 从两方面应对：一方面需要提高空调设备的能效，减少废热排放；另一方面，在城市规划中，应更多地 考虑绿色基础设施，比如增加城市绿化、使用冷却路面材料等，以降低城市热岛效应，从而减轻空调废 热带来的负面影响。 该研究为城市气候适应和基础设施规划提供了重要参考，尤其是在高密度城市和快速城市化地区，如何 科学有效地管理和缓解空调废热的负面影响，或将成为未来城市可持续发展的关键。 研究结果显示，在开启空调的情景下，深圳城市地区的短时强降雨峰值强度平均提升约22%，香港则提 升约3%。具体而言，高密度高层建筑区域的降雨增强尤为明显。 黄津辉解释，空调废热主要通过增加城市地面的感热通量，显著抬升城市地表温度，加剧城市热岛效 应。这种额外的热量促使空气更剧烈上升，使城市空气中的湿气更易达到凝结高度，从而引发或增强强 对流降雨。 （文章来源：科技日报） 记者29日从南开大学获悉，该校黄津辉教授团队的研究发现，空调在制冷过程 ...