美国莱斯大学研究人员开发出一种新型反应器，可将废旧电池中的锂高效转化为高纯度氢氧化锂，为锂资源回收开辟了一条更清洁、更经济的路径。相关 成果发表于新一期《焦耳》杂志。 新研发的电化学反应器通过再充电方式诱导废弃阴极中的锂离子进入水中，与氢氧化物结合，直接生成高纯度氢氧化锂，大幅简化了回收流程。 这一反应器结构紧凑，在实验中，研究人员将装置缩小至20平方厘米，并连续运行1000小时，处理了57克工业黑色废料。测试结果显示，回收的氢氧化锂 纯度超过99%，可直接用于新电池生产，平均回收率接近90%。 在能耗方面，该技术也表现优异：一种模式下，每千克废料仅消耗103千焦能量，远低于传统酸浸工艺；另一种模式也仅消耗536千焦。此外，这一方法适 用于多种电池类型，包括磷酸铁锂、锂锰氧化物和镍锰钴材料。更值得一提的是，它甚至能直接处理附着在铝箔上的完整磷酸铁锂电极，且无需刮除或预 处理。 团队强调，直接产出高纯度氢氧化锂不仅减少了加工步骤和废弃物，也增强了供应链韧性。 随着电动汽车在全球快速普及，报废电池数量激增，正成为一大环境挑战。传统回收方法不仅能耗高、流程复杂，且通常只能产出碳酸锂，需进一步加工 才能转化为电池制造 ...

Core Insights - The article discusses the impact of AI, particularly ChatGPT, on human language and communication, raising questions about the future of human expression and creativity in the face of increasing reliance on AI tools [1][2]. Group 1: Language Transformation - The widespread use of AI models like ChatGPT is leading to a homogenization of language, making it "overly correct" and lacking emotional depth [2][3]. - Certain words, such as "delve," have seen a significant increase in usage, indicating a shift towards AI-generated language patterns in academic and professional settings [2]. - Writing styles influenced by AI exhibit a unique rhythm that is deemed appropriate but ultimately lacks personality, leading to a loss of the "human touch" in communication [3]. Group 2: Cognitive Effects - Research indicates that reliance on AI for writing tasks results in decreased brain activity related to creativity and critical thinking, suggesting a trend towards cognitive laziness [4][5]. - Participants using AI tools reported a diminished sense of authorship and difficulty recalling their own written content, highlighting the outsourcing of thought processes to AI [5]. Group 3: Redefining Language Standards - The normalization of AI-generated content is leading to a redefinition of language standards, with many individuals unable to distinguish between human and AI-created text [6]. - Experiments show that exposure to AI-generated writing influences individuals to adopt longer, more convoluted sentence structures, even without explicit instruction to mimic AI [6]. - The article emphasizes the risk of losing unique and emotionally resonant writing as AI becomes more integrated into daily communication practices [6].

Core Insights - The first Quantum Computing + Biomedicine Technology Summit was held in Guangzhou, marking a significant step in integrating quantum technology with the biomedicine sector [1] - The launch of the "Pude" dedicated quantum scientific computing platform aims to provide low-cost and efficient quantum computing services to enterprises and research institutions in Guangzhou [1] Group 1: Quantum Computing Developments - The "Pude" platform is designed to be a leading public service platform for quantum computing in China, facilitating the deep integration of quantum technology with the real economy [1] - The introduction of quantum Gibbs sampling mechanisms into classical deep generative models represents a breakthrough in quantum-classical collaborative computing architecture [2] - The self-developed coherent light quantum computer by Boson Quantum is specialized for solving the Ising model, featuring high parallel computing capabilities [3] Group 2: Collaborations and Applications - Boson Quantum collaborates with various institutions, including Sun Yat-sen University and Shanghai Jiao Tong University, to enhance quantum computing applications in biomedicine [3] - China Mobile is developing platforms that integrate quantum computing with classical computing to improve efficiency in drug simulation and biomolecular structure prediction [2] - Guangzhou's health commission is planning to implement 21 quantum medical application scenarios in collaboration with multiple organizations [1]

11月10日，《自然》在线刊发隆基绿能联合苏州大学、西安交通大学等研究团队在硅基叠层电池研究方 向的进展。团队研发的超薄晶硅-钙钛矿叠层电池，经美国国家可再生能源实验室（NREL）认证，小面 积器件效率达33.4%；经德国弗劳恩霍夫太阳能研究所认证，商业尺寸硅片级柔性叠层电池效率达 29.8%。这是全球光伏领域首个经权威机构认证的柔性晶硅-钙钛矿叠层电池效率世界纪录。 近日，隆基绿能等在学术期刊《自然》上发表了两项研究成果，展示了我国光伏行业在前沿技术领域取 得的新进展。 创纪录效率的柔性叠层电池 11月13日，《自然》在线刊发隆基绿能联合中山大学、兰州大学团队研发的非晶-多晶杂化背接触结构 （HIBC）电池研究成果。背接触结构太阳电池通过将N型、P型接触区域及电极全部置于电池背面，最 大限度地减少正面的遮光损失。团队在隆基绿能自研的工业级泰睿硅片上实现了27.81%的认证效率、 87.55%的填充因子，两项指标均创造了新世界纪录。值得注意的是，杂化背接触结构是由我国团队首 创且经过验证的全新高效电池技术，具有完备的自主知识产权。团队开发的激光诱导局域晶化技术、原 位边缘钝化技术等均具备与现有生产线兼容的优势 ...

Core Insights - The first high-energy direct geometry inelastic neutron scattering time-of-flight spectrometer in China has been accepted and put into use, serving as an important platform for studying the dynamic properties of materials [1][2] - This spectrometer can detect the dynamic processes of atoms and molecules on a picosecond timescale, providing insights into how they vibrate, rotate, and transfer energy [1] - It fills a gap in inelastic neutron scattering above 100 meV in China, allowing for the measurement of both spatial distribution and energy changes of scattered neutrons [1] Technical Features - The spectrometer utilizes the non-charged and penetrating nature of neutrons to directly probe the microscopic movements within materials [1] - It can switch rapidly between multi-wavelength and single-wavelength modes using a Fermi chopper and bandwidth chopper, enhancing measurement capabilities [1] - The large detector area enables a white beam Laue camera mode, facilitating rapid detection of structural and magnetic information in single crystal materials [2] Research Applications - The spectrometer will provide critical microscopic structural dynamics information for frontier research in high-temperature superconductivity, quantum magnetism, thermoelectric material transport properties, ionic diffusion mechanisms in batteries, and biological material activity [2]

Core Insights - The successful financial recognition of data assets by Huayang Group marks a significant milestone in the coal industry, being the first of its kind in China [1] - The "Debt Collection Management Decision Analysis Dataset" has improved collection efficiency and reduced bad debt risk for Huayang Group [2] - The establishment of a management framework for data resource recognition and operation aims to transition data asset recognition from pilot projects to regular practice [2] Group 1 - Huayang Group, in collaboration with Shanxi Data Exchange Center, has completed the financial confirmation of data assets, showcasing industry leadership [1] - The data asset registration certificate was awarded to Huayang Group for the compliance registration of the "Debt Collection Management Decision Analysis Dataset" [1] - The data resource management framework emphasizes a collaborative mechanism covering the entire lifecycle from project initiation to ongoing management [2] Group 2 - Shanxi Data Exchange Center aims to enhance its service capabilities and build a business ecosystem centered on data asset management and financial innovation [3] - The center plans to leverage Shanxi's energy and computing resources to promote data compliance and security, contributing to the development of a national data factor market [3] - The transition of data from a cost to an asset is crucial for unlocking its value in the context of a growing digital economy [2]

一支多学科科研团队将尖端化学与人工智能（AI）技术相结合，发布了一项关于地球最早生命的重要 研究成果。该研究用AI解码33亿年前生命信号，不仅在古老岩石中发现了新的生命化学证据，还揭示 了产氧光合作用的分子痕迹，这比此前记录早了8亿多年，为理解生命起源与演化提供了全新视角。研 究发表于最新一期《美国国家科学院院刊》。 此次还发现了距今25.2亿年前岩石中光合作用的分子证据，表明产氧光合作用至少在那时已存在，比以 往通过碳分子保存的化学记录早了8亿多年。这一发现对理解地球大气氧化过程具有重要意义，也为复 杂生命的演化提供了关键线索。 研究显示，样本年龄显著影响信号保留程度：5亿年以内的年轻岩石大多保留强烈生物信号；5亿至25亿 年间的约三分之二仍可识别；而超过25亿年的岩石中，仅有47%保留可探测的生命痕迹。为此，模型不 仅给出"生命"或"非生命"的判断，还提供概率评分，通常以60%作为判定为生物来源的参考阈值。 （文章来源：科技日报） 该研究由美国卡内基科学研究所联合多所大学与机构共同完成。研究团队分析了406个样本，涵盖古代 沉积物、化石、现代动植物组织以及陨石等，旨在探索生命特征是否能在原始生物分子被地质 ...

Core Viewpoint - The article emphasizes the importance of understanding the flu and its prevention methods, particularly the risks associated with the misuse of antiviral medication Oseltamivir and the necessity of flu vaccination as the most effective preventive measure [2][3][5][10] Group 1: Misuse of Oseltamivir - There are claims that long-term use of Oseltamivir can prevent flu, which experts strongly oppose, stating that the drug should not be used casually [2] - Oseltamivir is effective only when taken within 48 hours of flu symptoms appearing, and its use for post-exposure prevention is limited to high-risk groups [2][3] - Misuse of Oseltamivir can lead to adverse effects such as nausea and potential neuropsychiatric reactions, as well as the risk of developing drug-resistant virus strains [3] Group 2: Understanding Flu vs. Common Cold - The article clarifies that flu is a serious respiratory illness caused by the influenza virus, distinct from common colds caused by other viruses, with significant differences in symptoms and complications [4][5] - Flu symptoms include high fever, muscle aches, and severe fatigue, while common colds typically present milder symptoms [4][5] - The World Health Organization reports that flu can lead to 3 to 5 million severe cases and 290,000 to 650,000 respiratory disease-related deaths annually [5] Group 3: Immunity and Vaccination - Immunity from a previous flu infection lasts only 6 to 8 months, not a lifetime, due to the virus's ability to mutate [6][7] - Vaccination is recommended for everyone aged 6 months and older, with the timing of vaccination being crucial for effectiveness [8][10] - Individuals with mild cold symptoms can receive the flu vaccine, but those with fever or severe symptoms should postpone vaccination [8][9]

牛奶及奶制品凭借丰富营养成为大众青睐的食物，但牛奶过敏问题威胁着我国众多婴幼儿的健康。 仅舔食米粒大小的奶滴，婴幼儿便瞬间全身起疹，继而陷入昏迷——生活中这类惊心动魄的场景，是牛 奶过敏患儿家长的噩梦。 在团队的另一间实验室里，南昌大学食品学院副院长、食物过敏创新团队骨干李欣正在带领团队成 员整理实验数据。 相关数据显示，约50%的牛奶过敏患儿在5岁至6岁时会逐渐对牛奶耐受，但严重过敏者不仅不易耐 受，而且过敏反应会延续至成年。 "你看这两杯奶，表面上相差无几，实则天差地别。"陈红兵摇晃着手中的烧杯，将其中一杯递向记 者说，"这杯是用我们研发的低敏乳粉冲的奶，专为'敏宝宝'设计，可以在保留牛奶核心营养的同时， 大幅降低致敏风险。" 造成过敏的元凶，是牛奶中的蛋白质。陈红兵介绍，乳清蛋白是牛奶蛋白质的主要组成成分，也是 营养全面的天然蛋白质。它能够提供优质氨基酸且易于消化吸收，但暗藏致敏隐患——其中的α-乳白蛋 白和β-乳球蛋白是牛奶中主要的过敏原，也是造成婴幼儿过敏的主要诱因。 "这类蛋白质在进入'敏宝宝'体内后，会引发免疫系统的过度反应。"陈红兵介绍，婴幼儿牛奶过敏 的症状复杂多样，既有突发性的皮肤瘙痒、黏 ...

Core Insights - The logistics industry is becoming the primary sector for the large-scale implementation of low-altitude economy, driven by high order volumes and mature development [2] - The rapid growth of drone logistics is supported by advancements in AI, 5G, big data, and cloud computing, which provide a solid foundation for the application of drones in express delivery [1][3] - The shortage of human resources in the logistics sector, particularly in courier services, is prompting the adoption of unmanned technologies to meet increasing delivery demands [1] Group 1: Industry Growth and Trends - The number of drone routes is expected to double in 2024 compared to the total established in the past decade, with over 500 new routes planned by a leading logistics company [1] - The average daily express delivery volume has surged from 100 million packages in 2019 to 729 million at peak last year, with projections to reach 1 billion packages daily in the future [1] - Major express companies are already operating over 1,000 drone takeoffs and landings daily at some distribution points, indicating a gradual realization of scale effects in drone logistics [2] Group 2: Technological Innovations - The introduction of passive IoT technology allows for the sensing of product information without unpacking, significantly reducing logistics time and costs [3] - AI safety technologies have expanded the operational range for drones, with previously restricted airspace now becoming accessible for safe flights, increasing suitable flying areas from 17% to 80% in some cities [3] - The integration of drones with other transport modes, such as ground stations and rail systems, has led to the development of a seamless logistics model that can save 60%-80% in time and reduce logistics costs by 30%-50% [5]