Core Insights - Researchers from the University of Maine and the University of Cincinnati have developed a new method for creating a waterproof barrier using edible fungi, which shows potential as an alternative to plastic coatings [1] Group 1: Research and Development - The new waterproof membrane is formed by combining fungi with wood fibers, creating a protective layer that effectively blocks water, oil, and grease [1] - The materials used for the membrane include fluffy wood fibers primarily composed of cellulose nanofibers, which naturally possess hydrophobic properties [1] - The process involves growing the edible turkey tail mushroom with fibers to create a protective coating on various surfaces, including denim, polyester felt, birch veneer, and paper [1] Group 2: Performance and Characteristics - The research indicates that the fungi must grow for at least three days to form an effective waterproof barrier, with the new membrane not significantly increasing the thickness of the materials but altering their color to yellow, orange, or brown mottled patterns [1] - Treated fabrics and papers exhibit water droplets that bead and roll off, while untreated materials absorb water quickly [2] - The fungal coating is also effective in blocking the penetration of various liquids, including n-heptane, toluene, and castor oil [2]

Core Insights - A recent study published in *Nature* reports advancements in detecting quantum dynamics through a "time-reversal" scheme by Google's Quantum AI team and collaborators [1] - The long-term goal of quantum computing is to create machines that achieve quantum advantage, surpassing classical computers in specific practical tasks [1] Group 1: Quantum Computing Advancements - The research addresses challenges in quantum computing, particularly the need to reduce noise and overcome defects to achieve quantum advantage [1] - A significant issue is the detection of quantum dynamics in systems with many components, which can be unpredictable and difficult to track [1] Group 2: Time-Reversal Scheme - The team utilized the "time-reversal" method in a superconducting quantum processor to measure out-of-time-order correlators (OTOC), which are essential for characterizing chaotic behavior in quantum systems [1] - The experiment demonstrated sensitivity to genuine quantum effects over sufficiently long time scales, allowing for substantial sampling of the processor during the propagation and reversal dynamics [1] Group 3: Implications for Future Research - Measuring OTOC can reveal microscopic properties of quantum systems that classical computing cannot access, enhancing the potential for robust demonstrations of quantum advantage in the future [2] - The circuits used in the demonstration are simplified models, but the findings suggest applicability to real physical systems [2]

Core Insights - The urban-level unmanned transport network has been officially launched, providing standardized and scalable solutions for urban unmanned delivery scenarios [1] - The domestic unmanned delivery market is experiencing an explosive growth rate of 60% annually, with expectations to exceed 500 billion yuan in scale over the next three years [1] - The unmanned transport network is centered around the Chongqing Intelligent Connected Vehicle Demonstration Zone, featuring four core platforms to meet safety and regulatory needs [1] Summary by Sections Unmanned Delivery Market - The unmanned delivery market in China is projected to grow at an annual rate of 60%, potentially reaching over 500 billion yuan in the next three years [1] - Current implementations are limited to small areas, primarily in parks, necessitating advancements in safety compliance and precise control for large-scale deployment [1] Technology and Infrastructure - The platform is developed collaboratively by Chongqing High-tech Zone, universities, and automotive companies, utilizing a three-tier testing system of "platform + closed site + open road" [2] - The testing framework incorporates complex road conditions specific to Chongqing, such as long tunnels and steep slopes, to ensure accurate road operation rights and licensing for unmanned vehicles [2] Logistics Optimization - The platform addresses end logistics challenges by integrating resources across people, vehicles, routes, and goods, which helps reduce logistics costs by over 10% and shortens delivery times by one-third [2] - A comprehensive solution has been established in the Chongqing Intelligent Connected Vehicle Demonstration Zone, with plans for continued promotion to enhance the smart connected vehicle industry and smart city development [2]

Core Insights - The launch of Genos, the world's first deployable genomic universal foundational model with over 100 billion parameters, was announced by BGI Life Sciences Research Institute and Zhijiang Laboratory [1][2] - Genos supports ultra-long context analysis of up to one million base pairs and achieves precise identification at single-base resolution [1] - The model integrates high-quality human genomes from various authoritative public resources, covering 636 "telomere-to-telomere" level genomes, enhancing the understanding of human genetic diversity [1] Model Performance - Genos demonstrates a 92% accuracy rate in interpreting pathogenic mutations directly related to clinical applications, which increases to 98.3% when combined with scientific foundational models [1] - The model surpasses existing best-level models in multiple comprehensive evaluations [1] Accessibility - Genos is fully open-sourced on platforms like HuggingFace and Modao, offering two versions with 1.2 billion and 100 billion parameters to meet diverse needs [2]

记者22日从西北工业大学获悉，该校机电学院陶凯教授团队近日成功研制出一款通体透明、形似水母的 仿生机器人。这款被称为"水下幽灵"的机器人隐藏在水中时肉眼几乎无法分辨，能够实现水下环境的智 能探测与实时监测。 研究人员将人工智能（AI）技术深度集成于这一仿生平台。通过搭载微型摄像头模组和嵌入式AI处理 芯片，机器人已成功实现在动态水环境中的稳定悬停，并能精准识别特定水下目标。 陶凯表示，低功耗、低噪声和高仿生特性，使这款机器人在深海隐蔽监测、生态敏感区域观测及水下设 施精细巡检等场景中具有独特优势，为深海极端环境探测面临的关键技术瓶颈提供了创新解决方案。 （文章来源：科技日报） 该机器人直径仅120毫米，重量56克，由创新水凝胶电极材料制成，搭载团队自主研发的静电液压肌肉 驱动器，可精准模拟水母利用涡环推进的灵动姿态，在水下实现高效且近乎无声的"静默"运行。其整机 驱动阵列功耗极低，仅为28.5毫瓦，为长期隐蔽水下作业提供了可能。 ...

Core Insights - The NOvA and T2K experiments have achieved more precise measurements regarding neutrino mass differences and neutrino-antineutrino oscillation asymmetry, enhancing the understanding of neutrino behavior [1][2] - These findings may contribute to exploring the matter-antimatter asymmetry in the universe, which is crucial for understanding the origin of cosmic matter [1] Group 1: Experimental Findings - The joint analysis of data from NOvA and T2K has improved the statistical significance of results, leading to more accurate measurements of neutrino mass differences and oscillation asymmetry [2] - The results provide precise estimates of parameters controlling the differences between neutrino and antineutrino oscillations, suggesting potential violations of symmetry between the two [2] Group 2: Collaboration and Methodology - The combined analysis enhances the sensitivity of both experiments, highlighting the value of collaboration in particle physics research [3]

Core Insights - China's wind power sector is enhancing its innovation capabilities and overall competitiveness, with record-breaking achievements in large-capacity units, blade lengths, and hub heights, leading to a continuous decrease in investment and construction costs [1] - The new national contribution targets announced in September aim for wind and solar power generation capacity to exceed six times the 2020 levels by 2035, targeting 3.6 billion kilowatts [2] - The cumulative installed capacity of wind power in China has reached 580 million kilowatts, doubling since 2020, and the country has maintained its position as the world's largest wind power installer for 15 consecutive years [3] Summary by Sections Innovation and Competitiveness - The wind power sector is experiencing significant technological advancements, which are crucial for expanding projects, improving efficiency, and reducing costs [4] - The CWP 2025 showcased nearly a thousand exhibitors presenting the latest technologies and achievements in the global wind power industry [4] National Goals and Policies - The "Wind Energy Beijing Declaration 2.0" sets ambitious targets for annual new installed capacity during the 14th Five-Year Plan, with at least 12 million kilowatts added each year, including 1.5 million kilowatts from offshore wind [2] - The declaration emphasizes collaboration among government, industry, academia, and research to enhance technological innovation and accelerate the commercialization of new technologies [2] Current Capacity and Future Projections - As of now, wind power generation accounts for approximately 11% of the total electricity consumption in China, highlighting its role as a critical energy supply source [3] - By 2030, the cumulative installed capacity of wind power is expected to reach 1.3 billion kilowatts, with projections of 2 billion kilowatts by 2035 and 5 billion kilowatts by 2060 [2] Technological Advancements - China CRRC showcased the world's largest offshore wind turbine, capable of generating up to 100 million kilowatt-hours of clean energy annually, sufficient for 55,000 households [5] - New technologies, including AI, are enhancing the efficiency and stability of wind power systems, significantly reducing inspection costs and improving operational efficiency [5]

Core Insights - The World Meteorological Organization (WMO) reports a significant increase in global atmospheric CO2 concentration, reaching a record high of 423.9 ppm in 2024, an increase of 3.5 ppm from 2023 [1] - The report indicates a continuing acceleration in the annual growth rate of atmospheric CO2, which has quadrupled since the 1960s [1] - The last time CO2 levels were similar to current concentrations was 3 to 5 million years ago, before the emergence of humans [1] Group 1 - The three main causes for the sharp increase in CO2 concentration are ongoing fossil fuel emissions, rampant wildfires releasing large amounts of CO2, and a weakened carbon absorption capacity of global land and oceans [1] - Despite international calls for emissions reduction, fossil fuel emissions remain high, highlighting the urgent need to curb fossil fuel use [1] - The 2024 El Niño phenomenon is expected to exacerbate global temperatures and trigger extreme weather events, further impacting carbon absorption capabilities in critical regions like the Amazon [1] Group 2 - The WMO warns that excessive CO2 will continue to contribute to warming effects on Earth for centuries, leading to more frequent extreme weather events [2]

Core Insights - The world's first "dual-tower one machine" solar thermal energy storage power plant has entered full system trial operation, marking a breakthrough in tower-type solar thermal power generation technology [1][4] - The project is part of the national "14th Five-Year Plan" and aims to provide stable power supply for large-scale wind and solar energy bases in China [4] Project Overview - The solar thermal energy storage power plant has an installed capacity of 100,000 kilowatts and features an innovative configuration of "two heat-absorbing towers and one steam turbine generator set" [3] - The two heat-absorbing towers are approximately 200 meters high and are spaced about 1 kilometer apart, surrounded by nearly 27,000 heliostats with a total reflective area of 800,000 square meters [3] - The heliostats utilize special ultra-white glass with a reflection efficiency of 94%, allowing for solar tracking [3] Technology and Efficiency - The "dual-tower one machine" model employs dynamic focusing technology to adapt to varying solar angles, improving optical efficiency by approximately 24% compared to the "single tower single machine" model [3] - The thermal energy collected is stored in high-temperature molten salt at 565°C, enabling stable heat storage and allowing for 24-hour uninterrupted power supply [3][4] Operational Significance - The full system trial operation is a critical transition from construction to operational phase, ensuring the project meets safety and stability requirements for full-chain operation [4] - The solar thermal power generation complements wind and solar power, providing rapid energy release during low output periods, thus stabilizing grid frequency [4] Environmental Impact - Upon commissioning, the solar thermal energy storage plant is expected to provide 1.8 billion kilowatt-hours of clean electricity annually, equivalent to saving approximately 580,000 tons of standard coal and reducing carbon dioxide emissions by about 1.53 million tons [4]

Core Insights - The article discusses a significant advancement in the production of green hydrogen and high-value chemicals through the electrolysis of water and glycerol conversion, achieved by researchers at the Chinese Academy of Sciences [1] Group 1: Technology and Innovation - Researchers have successfully addressed the issue of catalyst deactivation at high current densities by adding trace amounts of copper ions to the reaction solution [1] - The addition of copper ions allows the catalyst to maintain high catalytic activity by acting as a self-repairing "dynamic armor" [1] - For example, using cobalt oxide supported on nickel foam, the generation efficiency of formic acid increased from 62.2% to 99.3% at a current density of 800 mA/cm², outperforming previously reported catalysts [1] Group 2: Industrial Application and Scalability - The technology demonstrates good scalability and is applicable to other metal catalysts and various biomass feedstocks [1] - The research team successfully produced large-sized electrodes measuring 6x6 cm, which operated continuously and stably for over 100 hours, producing 13.2 grams of oxidized products per hour, indicating strong industrial application potential [1]