Core Viewpoint - The original play "Yuan Longping," created by Southwest University, premiered recently and is part of the China Association for Science and Technology's 2025 initiative to promote stage plays about scientists [1][2]. Group 1: Play Overview - The play is based on the true story of Yuan Longping, known as the "Father of Hybrid Rice," and incorporates historical resources and autobiographical materials [1]. - The cast consists of over 40 students and young teachers from Southwest University, selected from over a thousand applicants through three rounds of interviews [1]. Group 2: Narrative Structure - The play employs a narrative framework featuring Yuan Longping in his later years, using a flashback technique to connect significant moments in his life across 11 scenes [2]. - Key scenes include Yuan's academic breakthrough at Southwest Agricultural College, his dedication to serving the country, and the challenges faced in preserving rice strains [2]. Group 3: Future Plans - Following the premiere, Southwest University plans to launch a tour called "He Xia Dream: Youth Action," performing at various educational and social venues [2]. - The initiative aims to inspire youth to inherit and promote the spirit of scientists and engage in technological innovation through innovative formats like "theater + discussion" and "stage + rice field" [2].

以往观测中，天文学家曾在类似系统中发现已经形成的大质量行星，如类木星天体。论文第一作 者、荷兰莱顿大学教授梅丽莎·麦克卢尔指出，行星的最初固体部分，即"微行星"，必须形成得更早， 在更原始的阶段。 在太阳系中，第一批在靠近地球轨道附近冷凝出的固态物质，如今仍保存在古老的陨石中。这些陨 石富含结晶矿物，主要由一氧化硅组成，这种矿物只能在年轻恒星周围原始星盘极高温环境中凝结形 成。通过对这些原始岩石的放射性定年，天文学家能够确定太阳系的形成时间。 而在此次观测中，天文学家发现，在HOPS-315及其周围的原始星盘中，不仅存在固态的结晶矿 物，还存在气态的一氧化硅。这表明这些矿物正处于由气态转变为固态的初始阶段，也就是凝固刚刚开 始的关键时刻。 原标题：太阳系外"起点时刻"现象首次捕获 科技日报北京7月17日电 （记者张佳欣）据最新一期《自然》杂志报道，国际天文学家团队首次精 准捕获到太阳系外一个新生恒星及其行星系统形成的"起点时刻"现象。他们借助欧洲阿塔卡马大型毫 米/亚毫米阵列望远镜和詹姆斯·韦布空间望远镜，观察到第一批行星形成物质（刚开始凝固的高温矿 物）的诞生。这是天文学家首次在如此早期的阶段识别出一个行星 ...

Core Insights - The James Webb Space Telescope (JWST) has been operational since July 2022, capturing approximately 550 terabytes of cosmic data and generating over 1,600 significant research findings, enhancing humanity's understanding of the universe [1] Group 1: Discoveries and Observations - JWST is designed to observe the "cosmic dawn," the first billion years after the universe's birth, revealing early bright galaxies existing just 300 million years post-Big Bang [2] - The telescope has identified "baby" galaxies that are only 600 million years old but already exhibit structures similar to the Milky Way [2] - JWST discovered mysterious "small red dots," which are distant, dense, bright, and red star clusters, with potential explanations for their brightness being dense young star groups or heated gas from supermassive black holes [3] Group 2: Atmospheric Studies - JWST has advanced the study of exoplanet atmospheres, detecting complex chemical compositions such as hydrogen sulfide, ammonia, carbon dioxide, methane, and sulfur dioxide in gas giant planets [4] - The telescope successfully detected traces of carbon monoxide or carbon dioxide in the thin atmosphere of the rocky exoplanet 55 Cancri e, located 40 light-years away [5] Group 3: Stellar Evolution and Planetary Systems - JWST may have detected planetary candidates orbiting white dwarfs, suggesting that planets can survive the death of their stars [6] - The telescope revealed the scale of water plumes on Europa, showing a massive cloud structure over 9,600 kilometers in diameter, significantly larger than previously observed [7] Group 4: Future Exploration - JWST is expected to continue its operations for over 20 years, providing opportunities for further exploration of cosmic mysteries and enhancing our understanding of the universe [7]

Core Insights - The dialogue between Wang Jian and Jensen Huang highlights the rapid advancements in AI capabilities and its potential to surpass human intelligence in problem-solving [1][2] - Both leaders agree that AI will enhance human creativity and intelligence rather than replace it, similar to how airplanes extend human reach [2] - The importance of open-source models in advancing AI technology is emphasized, with examples of transformative models like DeepSeek and Kimi [3] Group 1: AI Development and Capabilities - Jensen Huang predicts that the next wave of AI development will focus on physical AI, which will integrate more deeply with the human physical world [1] - AI has evolved from being taught by humans to being able to think, reason, and independently complete tasks through reinforcement learning [1][2] - The leaders believe that AI will enrich human wisdom in scientific endeavors [2] Group 2: Open Source and Innovation - Open-source models are seen as crucial for the advancement of AI, benefiting both the Chinese and global AI landscapes [3] - The leaders note that open-source innovations can drive efficiency across various industries, including healthcare and finance [3] - Huang emphasizes that open-source models can ensure the safety of AI through global review mechanisms [3] Group 3: Future of Chip Technology - Huang discusses the future of chip innovation, indicating a shift from traditional methods of distributing computing power across different silicon materials [4] - The development of composite chips and advanced packaging technologies like Co-Packaged Optics (CPO) is underway to achieve higher functionality [4] - Both leaders express optimism about the potential for AI technology innovation and development over the next 20 years [4]

Core Viewpoint - The development of DMTO technology is pivotal for the coal-to-olefins industry in China, significantly reducing carbon emissions and enhancing resource utilization efficiency [6][8]. Group 1: DMTO Technology and Its Impact - DMTO technology has been under research since the 1980s, with the first industrial application successfully launched in 2010, producing 1.8 million tons annually [6]. - The technology has evolved to its third generation, with a single unit capable of processing 3.6 million tons of methanol per year, and contracts for 36 units have been signed, totaling over 24 million tons of olefins per year [6]. - DMTO technology is crucial for alleviating oil supply shortages and ensuring energy security, with a significant reduction in CO2 emissions compared to traditional coal utilization methods [6][8]. Group 2: Market Trends and Future Prospects - The shift towards "chemical new materials" in the petrochemical industry is accelerating, driven by the dual carbon goals and increasing renewable energy capacity [8][9]. - The demand for high-end chemical products and new materials is expected to grow, despite a projected decline in refined oil demand by 2050 [8]. - DMTO technology, utilizing coal as a stable and cost-effective raw material, is positioned to meet the increasing demand for olefins and chemical products [8][9]. Group 3: Challenges in Energy Transition - The complexity of China's energy and industrial systems poses challenges for scientific decision-making and the identification of effective technological pathways for energy transition [12]. - The integration of artificial intelligence in research and production processes is still in the exploratory phase, with significant potential to enhance efficiency and innovation in the chemical industry [12][23]. Group 4: Strategic Recommendations - To achieve a successful energy transition, a systematic approach combining original breakthroughs and technological integration is essential, particularly in hydrogen energy and carbon capture, utilization, and storage (CCUS) [15]. - The collaboration between traditional coal chemical processes and renewable energy sources is vital for achieving low-carbon and zero-carbon production methods [16][17]. Group 5: Innovation and Research Development - The relationship between basic research and industrial application can create a virtuous cycle, as demonstrated by the development of DMTO technology over the past decades [21][22]. - The rapid advancement of artificial intelligence presents new opportunities for the chemical industry, enabling a shift from laboratory experiments to industrial applications [23].

Core Viewpoint - The launch of the Kunda mobile energy storage robot by Dalian Kunda Automation Co., Ltd. is set to revolutionize the charging model for electric vehicles, shifting from a traditional "find the charging station" approach to a more convenient "charging station finds the vehicle" model [1] Group 1: Technological Breakthroughs - The maturity of lithium battery technology and significant cost reductions have created an optimal window for mobile energy storage products, with the price per watt-hour of lithium batteries in China dropping from over 1 yuan to around 0.3 yuan [2] - The Kunda mobile energy storage robot project is expected to officially launch in the second half of 2024, having overcome two major technical barriers: energy management and high-load mobility [2] - The company has successfully integrated energy storage units, power conversion units, charging and discharging units, and an intelligent battery management system (BMS), which optimizes charging efficiency and extends battery life [2] Group 2: Urban Energy Service Upgrade - The Kunda mobile energy storage robot features a compact and flexible design, making it suitable for complex environments like limited parking spaces [3] - The product addresses the "parking anxiety" of electric vehicle owners by providing "unmanned charging" capabilities, allowing for energy replenishment without the need for a charging station [3] - An intelligent energy management platform will be developed to dynamically allocate charging resources based on urban activity hotspots, similar to the dispatching of shared bicycles [3] Group 3: Market Promotion and Future Prospects - Dalian Kunda has made substantial progress in market promotion, having established deep cooperation intentions with Dalian Urban Construction Investment Group Co., Ltd., with mass production expected to begin soon [4] - The pricing range for the Kunda mobile energy storage robot is anticipated to be between 180,000 to 220,000 yuan [4] - Future product iterations will integrate automatic navigation and unmanned dispatch capabilities, leveraging advanced technologies such as 5G and the Internet of Things to enhance product intelligence and explore applications in the civilian energy storage sector [4]

记者17日从中国科学院国家空间科学中心获悉，该中心科研人员系统分析了月球阿波罗盆地内斜长 岩的出露情况，成功识别出51处纯斜长岩出露点。它们分布在阿波罗盆地的北缘、南缘、盆底及中央峰 环结构上。这意味着嫦娥六号从阿波罗盆地带回的月球样品，或包含代表原始月壳成分的斜长岩。相关 研究发表于《地球物理学研究杂志：行星》。 月球正面和背面为什么不同，一直是个谜。科学家认为，早期月球像个滚烫的岩浆海，冷却时，富 含钙的斜长岩因为自重较轻浮到表面，形成了最古老的原始月壳。此前美国的阿波罗任务从月球正面带 回过这种斜长岩样品，但样本代表性不足，且空间覆盖范围有限。月球背面的原始月壳与正面是否一 样，学术界一直不太清楚。 嫦娥六号样品取自月球背面阿波罗盆地。该区域被撞击多次，月壳较薄，地质非常复杂，各种物质 混在一起。这给科学家解读嫦娥六号样品带来了不小的挑战。 在这项最新研究中，科研人员利用"月亮女神"月球探测器多波段成像仪获取观测数据，并将嫦娥六 号样品与已知月球岩石数据库、模拟光谱以及阿波罗任务带回的斜长岩样品进行比对，成功找到了51处 明显含有斜长岩的岩石出露点。分析显示，这些地方的斜长石纯度极高，属于纯斜长岩。"它 ...

Core Insights - The demand for computing power is surging, driven by intelligent computing, with electricity being the ultimate requirement for this power [1] - The new green electricity aggregation supply model in Jiaxing, Zhejiang, has shown positive results in meeting computing power needs through local renewable energy consumption [1] Group 1: Green Electricity Supply Model - Jiaxing's model allows renewable energy to be precisely used to meet computing power demands, utilizing technologies like joint forecasting of computing load and renewable power [1] - The implementation of the power-computing-carbon cross-network adjustment plan aims to promote the use of green electricity in data centers, addressing energy consumption and renewable energy absorption issues [1] Group 2: Computing Power Infrastructure - Jiaxing is developing the Yangtze River Delta Intelligent Computing Center, with five 1024 computing clusters established, accounting for approximately 60% of Zhejiang's total computing power [1] - The information port in Pinghu experienced a 297% year-on-year increase in electricity consumption from January to May, with 48% of its electricity sourced from local offshore wind power [1] Group 3: Cooling and Energy Efficiency - A customized water storage cooling system has been proposed for the Pinghu information port, which includes the construction of two water storage tanks to reduce peak electricity load and save cooling costs by 2.06 million yuan annually [2] - The information port plans to connect its adjustable resources to Jiaxing's virtual power plant management platform, with an expected total adjustment capacity of 283,000 kilowatts by the end of 2026 [2]

Core Viewpoint - The article highlights the significant contributions of Zhou Yao to the field of entomology in China, emphasizing his efforts to establish a national identity in insect classification and biological pest control methods, ultimately aiming to reverse the historical narrative that has marginalized Chinese contributions in this field [1][5]. Group 1: Zhou Yao's Background and Education - Zhou Yao was a prominent entomologist who studied at the University of Naples under a leading authority in insect classification, becoming the only Eastern student in his program [3]. - He returned to China in 1938 amidst the outbreak of war, prioritizing national service over further studies, and later chose to work at the Northwest Agricultural College to contribute to agriculture and education [3]. Group 2: Innovations in Pest Control - In the 1940s, Zhou Yao developed a biological pest control method using parasitic wasps to combat wheat pests, which proved effective and saved millions of acres of wheat fields [4]. - He founded China's first national entomological society and a private insect research institute during wartime, demonstrating leadership in the field [4]. Group 3: Contributions to Chinese Entomology - Zhou Yao worked to establish a historical narrative for Chinese entomology, uncovering significant achievements in pest management from ancient texts, leading to the publication of a groundbreaking work in 1957 [5]. - He played a crucial role in founding the journal "Insect Systematics and Evolution," which connected China with the global scientific community [5]. Group 4: Legacy and Impact - Zhou Yao's lifelong dedication resulted in the collection of over 400,000 insect specimens and the discovery of 372 new species, significantly enhancing China's entomological resources [6]. - His contributions have established a foundation for ongoing research in biodiversity, with his museum housing 1.5 million specimens, marking it as a key institution in global biological diversity studies [6].

Core Viewpoint - The successful commissioning of the 3rd unit of the Jiangsu Changzhou Power Plant's second phase expansion project marks a significant advancement in energy supply and demonstrates innovative technologies in coal-fired power generation [1][2]. Group 1: Technological Innovations - The 3rd unit is the first in the country to utilize a fully domestic nuclear power distributed control system, enhancing safety, operational efficiency, and intelligence in coal-fired power generation [2]. - It incorporates high-efficiency flexible reheating technology, increasing main and reheating steam temperatures by over 50°C, which reduces coal consumption by more than 6 grams per kilowatt-hour [2]. - The integration of "multi-route storage + energy storage powder warehouse" technology significantly reduces the time for changing coal types from hours to minutes, improving the unit's responsiveness to grid demands [2]. Group 2: Environmental and Operational Impact - The project includes facilities for processing urban sludge, promoting resource recovery and environmental sustainability through an integrated drying and co-firing method [3]. - Upon full operation, the project is expected to generate 16 billion kilowatt-hours of electricity annually, accounting for approximately one-quarter of Changzhou's total electricity consumption [3]. - The company anticipates saving about 15,000 tons of standard coal each year, which translates to a reduction of approximately 40,000 tons of carbon dioxide emissions, contributing to regional energy structure optimization and enhanced power supply stability [3].