Core Viewpoint - The GraMOS technology developed by the Sanford Consortium for Regenerative Medicine at UC San Diego accelerates the development and maturation of brain organoids, providing new insights into neurodegenerative diseases like Alzheimer's and enabling real-time control of robotic devices by organoids [1][2]. Group 1: Technology Overview - GraMOS utilizes the unique optoelectronic properties of graphene to convert light signals into gentle electrical stimulation, promoting connections and communication between neurons [2]. - This method mimics the natural input signals received by the brain, facilitating the development of neural networks without invasive techniques [2]. - Regular application of GraMOS leads to stronger neural connections, more organized neural networks, and improved communication efficiency, particularly in organoid models derived from Alzheimer's patients [2]. Group 2: Applications and Implications - The technology opens new pathways for research into neurological diseases, brain-machine interface development, and the integration of living neural tissue with technological systems [1][2]. - A proof-of-concept experiment demonstrated the integration of graphene-connected brain organoids into a robotic system, allowing the robot to respond to environmental stimuli in just 50 milliseconds [2]. - The research signifies a major breakthrough in the application of graphene in neuroscience, nanotechnology, and neuroengineering, potentially leading to a powerful platform for studying neurodegenerative diseases and developmental brain disorders [2][3]. Group 3: Future Prospects - GraMOS has two primary applications: accelerating the maturation of the nervous system for more physiologically relevant disease observation and enabling brain organoids to respond to external environments, showcasing significant potential in AI [3]. - The combination of graphene's multifunctionality with the biological characteristics of brain organoids is redefining the boundaries of neuroscience, potentially leading to transformative changes in basic research, AI, and medical engineering [3].

Core Viewpoint - The demand for electricity in Qinghai is steadily increasing, prompting the State Grid Qinghai Electric Power Company to implement intelligent power supply systems to ensure the stability and safety of the power grid during peak summer demand [1][2] Group 1: Intelligent Inspection Systems - The company has introduced helicopter inspections, which act as "eyes in the sky," to quickly and accurately identify potential hazards such as broken wires and damaged insulators, significantly improving inspection efficiency in complex terrains [1] - Drones have become the primary inspection tool in canyons and urban areas, equipped with various precision detection devices to conduct detailed inspections in hard-to-reach areas, replacing thousands of kilometers of manual inspections and saving labor and material costs [1] Group 2: Monitoring and Management Systems - The centralized monitoring center utilizes a panoramic monitoring platform that continuously updates operational parameters, environmental information, and real-time images of transmission lines above 330 kV in Qinghai [2] - The monitoring system allows for remote centralized supervision of transmission line status, enabling timely detection of anomalies and shifting the approach from reactive to proactive risk management [2] - The integration of helicopter and drone inspections with data intelligence platforms forms a comprehensive intelligent inspection system, enhancing the company's ability to respond to the growing electricity demand and complex operational environment [2]

不仅如此，该栋建筑还实现动力电池的梯次利用。大楼底部安装有14块退役的汽车动力电池，可存储绿 电1500度，移峰填谷，供用电高峰期或阴雨天使用。 此外，特来电总部基地大楼地下停车库运用了由企业自主研发的全自动极速立体泊车系统。除了让停车 更加智能高效外，这套停车系统里还藏着新能源汽车给大楼反向供电的黑科技。在这里，每天只需要选 取300辆电车各为大楼提供10度电，就可解决大楼近一半的能耗，每位车主还能享受每度电差价1.2元的 收益。 8月24日，记者从特来电新能源股份有限公司(以下简称"特来电")获悉，特来电总部基地大楼于近日投 用，成为全球首座超阶零碳大楼。该建筑依托光伏发电、梯次储能以及新能源汽车反向放电技术，可实 现100%绿能替代。 特来电总部基地大楼位于山东省青岛市崂山区，建筑面积约4.3万平方米，总高度117米，共有23层办公 区，日均用电量约6000度。该栋建筑东、西、南三个外立面均安装建筑一体化光伏玻璃幕墙，可将吸收 的太阳能转化为源源不断的电能，日发电量达1500度，可实现全楼最高25%的绿能替代。 ...

Core Insights - The integration of AI and mathematics is significantly enhancing research efficiency and enabling breakthroughs in mathematical theories [1][3][6] - AI's ability to verify mathematical results and assist in theorem proving is a key advantage, allowing researchers to focus on original contributions rather than rediscovering established results [3][4][9] - The development of AI tools and models is fostering a new era of mathematical research, with notable collaborations yielding new mathematical theorems [6][7][8] Group 1: AI's Impact on Research Efficiency - AI greatly improves the efficiency of mathematical research by validating results and expanding researchers' thinking [3] - AI can assist in precise semantic searches, helping researchers identify previously established theories and avoid redundant work [4][5] - The ability of AI to bridge different theories and tools enhances researchers' understanding and inspires deeper exploration [5] Group 2: Representative Achievements - Significant achievements in the field include collaborations between AI teams and mathematicians, leading to the formulation of new mathematical theorems [6][7] - AI's capability to analyze data and suggest function forms accelerates the research process by revealing hidden relationships between variables [7] Group 3: Challenges and Future Directions - Despite progress, challenges remain, particularly in the verification of mathematical expressions and the need for a formalized language to eliminate ambiguities [9][10] - The establishment of high-quality mathematical datasets is crucial for training AI models effectively, necessitating collaboration among mathematicians [10] - The push for digital transformation in mathematics aims to create a simulator for mathematical reasoning, enhancing AI's practical application in research [9]

随着大模型逐渐变成学习、工作中不可或缺的生产力工具，其伴生的问题也日益凸显。AI经常 会"一本正经地胡说八道"，生成看似合理的虚假信息；一些人利用AI工具代写作业甚至毕业论文，极大 冲击着学术诚信和规范；AI生成内容的流畅性和逻辑性越来越强，人类识别困难，但论文AI率检测系 统有待完善，论文被误判的问题时有发生……如何精准识别AI生成内容，成为亟待解决的问题。 南开大学计算机学院媒体计算实验室近日取得的一项研究成果，或为解决这些难题提供可行方案。 该成果创新性地提出直接差异学习（DDL）优化策略，教会AI用"火眼金睛"辨别人机不同，实现AI检 测性能的巨大突破。相关成果论文已被ACM MM 2025（第33届ACM国际多媒体会议）接收。 团队还提出了一个全面的测试基准数据集MIRAGE，该数据集使用13种主流的商用大模型以及4种 先进的开源大模型，生成了接近10万条"人类—AI"文本对。 "MIRAGE是目前唯一聚焦商用大语言模型检测的基准数据集。如果说之前的基准数据集是由少且 能力简单的大模型命题出卷，那么MIRAGE则是由17个能力强大的大模型联合命题，形成一套高难度、 又有代表性的检测试卷。"论文通讯作 ...

科技日报讯 （记者张添福）8月23日，中国华能在青海省共和光伏园区建成投产全球首个5兆瓦商用级 钙钛矿光伏实证基地，标志着我国钙钛矿光伏技术从实验室阶段迈向规模化示范应用。 据悉，该项目将验证先进钙钛矿光伏在强紫外高辐照环境下的发电性能与可靠性，支撑我国钙钛矿光伏 技术迭代升级。中国华能将进一步构建钙钛矿光伏"技术研发－技术服务－成果转化"体系，打造钙钛矿 光伏科技攻关"国家队"，支撑国家光伏产业高质量发展。 ...

Group 1 - The article discusses the psychological and physical challenges children face as they transition back to school after a long break, highlighting the importance of parental support and intervention [1][2] - Experts suggest that parents should observe their children's behavior for signs of psychological issues, such as persistent negative changes in speech, emotions, and actions lasting more than a week [1] - Recommendations include maintaining a stable emotional environment, adjusting to school routines a week in advance, and engaging in outdoor activities for about 40 minutes daily to help children regain their energy and focus [1] Group 2 - The role of physical exercise is emphasized as a means to address psychological issues in children, with sports providing various educational benefits, including resilience and respect for rules [2] - It is advised that children engage in diverse physical activities, including individual, team, and recreational sports, while avoiding early specialization to prevent potential injuries [2] - In case of serious psychological issues, parents are encouraged to seek professional medical guidance for appropriate treatment methods, which may include medication, psychological therapy, and behavioral interventions [2] Group 3 - The article highlights the increased risk of infectious diseases during the back-to-school season, particularly in crowded settings like schools and daycare centers [3] - Attention is drawn to respiratory and intestinal infectious diseases, with a specific note for children in southern regions to enhance their immunity against vector-borne diseases [3]

团队强调，这一效果并非仅仅延缓或预防衰老，而是切实逆转了已发生的损伤。此外，FTL1还会 减缓老年小鼠海马细胞的代谢速度，不过，使用一种能促进新陈代谢的化合物处理细胞，可有效抵消 FTL1带来的负面影响。最新发现有望催生特异性阻断FTL1的疗法，为对抗认知衰老开辟了全新路径。 研究表明，一旦降低老年小鼠海马体中的FTL1含量，其神经连接便重新变得密集，在记忆测试中 的表现也大幅提升，实现了大脑功能和结构的"返老还童"。 大脑中负责学习和记忆的关键区域——海马体，尤其容易受到衰老的影响。研究团队对比了年轻与 老年小鼠海马体中的基因和蛋白表达，发现唯有FTL1的表达水平存在显著差异：老年小鼠体内该蛋白 更多，神经连接更少，认知能力也明显下降。 当团队人为提高年轻小鼠的FTL1水平后，其大脑状态和行为表现与老年小鼠相似。在体外实验 中，那些经过基因编辑、能够大量产生FTL1的神经元，不再形成正常细胞应有的分支状突起，反而只 长出简单的单臂状结构。 美国加州大学旧金山分校科学家发现，大脑衰老背后隐藏着一种名为FTL1的关键蛋白。实验显 示，过量FTL1蛋白会导致小鼠记忆力衰退、大脑神经连接减弱以及细胞反应迟钝。一旦阻 ...

传统观点认为，月球晚期火山活动可能与富水或放射性元素有关，但嫦娥五号、六号样品推翻了这 一假说。基于对嫦娥六号两类玄武岩的对比，研究团队提出了一个新的热动力机制：随着月球冷却，其 岩石圈不断增厚，深部岩浆难以直接喷出，只能滞留在月幔浅部辉石岩层的底部。这些"被卡住的"岩浆 可向上传导热量，从而触发浅部月幔部分熔融，导致火山喷发。 论文第一作者、中国科学院广州地球化学所副研究员汪程远介绍，研究还发现，月球正面和背面的 晚期火山岩石化学特征存在差异，表明月球正面和背面的月幔组成可能不同，这为理解月球的不对称演 化提供了新线索。 （原载于《科技日报》 2025-08-25 第01版） 月球"晚年"仍存在火山活动的奥秘揭开。通过系统研究嫦娥六号月球样品，来自中国科学院广州地 球化学研究所等单位的研究团队，成功揭示月球"晚年"火山活动的热驱动机制。相关研究成果8月23日 在线发表于《科学进展》杂志。 长期以来，科学家普遍认为月球在30亿年前就已"休眠"，但嫦娥五号和六号任务带回的样品显示， 月球在20亿至28亿年前仍有火山喷发。到底是什么提供了热量，让月球在衰老期还保持"活力"？ 在这项研究中，研究团队在嫦娥六号样品中 ...

这台设备有望降低量子电学标准使用成本，并可让全球科研人员更方便地使用。 （文章来源：科技日报） 将两种量子标准整合在一起极具挑战性，因为两台设备都依赖脆弱的量子现象，而这些现象只能在极低 温下观察到，且需要使用低温冰箱才能实现。传统上，其中一台设备需要磁场，而磁场会干扰另一台设 备的运行。 新的"一箱式"方法通过使用一种新型材料解决了这一问题。该材料可在无需磁场的情况下实现量子特 性，使得此前必须分开的两套量子系统可在同一个低温冰箱中同时运行。团队利用这套设备获得了安 培、欧姆和伏特的测量值，误差仅在百万分之一量级。 美国国家标准与技术研究院研发出一台量子设备，可在单一系统中同时测量电流、电阻和电压。这 种"一箱式"测量方法有望大幅简化量子电学标准的操作，降低科研成本。相关论文发表于最新一期《自 然·电子学》杂志。 测量电力时，团队需要确定电流的安培数、电阻的欧姆数以及电压的伏特数。但在开始测量之前，必须 首先统一这些单位的标准。这通常需要两台独立的量子设备。 ...