Core Viewpoint - The excavation and research of the Camel Mountain paleontological site in Dalian has entered a new phase, integrating fossil protection and development with the region's tourism resources, aiming to establish a world-class cultural tourism IP in Northeast Asia [2][8]. Group 1: Excavation and Research Progress - The Camel Mountain site has yielded over ten thousand vertebrate fossil specimens, covering more than 120 species of mammals, including newly discovered species like the Dalian post-mole and Jinpu American leopard [5][6]. - The research team has established a high-resolution biostratigraphic framework for the late Cenozoic era in Northeast China, publishing over 30 papers in core journals [6][8]. - The excavation site, known as Jinyuan Cave, has a unique geological and biological significance, with a stratigraphic record spanning from 3.6 million to 300,000 years ago, documenting five major geological and biological events [4][6]. Group 2: Fossil Analysis and Findings - Fossils discovered include a complete specimen of a giant camel, which lived 1.8 million years ago, providing insights into the evolution of this species and its environment [5][6]. - Analysis of fossilized dung has revealed a complete food chain from 1.6 million years ago, indicating a diverse ecosystem with intermingled coniferous and broadleaf forests [6][8]. - The research has identified five significant biological turnover events that correspond with global climate fluctuations, such as a cooling event around 2.6 million years ago that led to the emergence of cold-adapted species like the woolly mammoth and woolly rhinoceros [6][8]. Group 3: Collaboration and Future Development - The collaboration between the Dalian Jinpu New Area and the Chinese Academy of Sciences has established a national-level research platform, ensuring professional scientific research while promoting fossil resource protection and utilization [8]. - The ongoing excavation and research efforts are expected to continue for at least another 50 years, with the current generation only beginning to uncover the site's potential [8].

Core Viewpoint - The ecological restoration of Jiuzhaigou, a UNESCO World Heritage site, has shown significant improvement after the 2017 earthquake, with effective disaster management and recovery efforts reported by scientists using satellite remote sensing and drones [1][2]. Group 1: Ecological Recovery - The monitoring and assessment conducted by the Aerospace Information Research Institute and Jiuzhaigou World Heritage Management Bureau indicate that the ecological landscape of Jiuzhaigou has significantly recovered over eight years [1]. - Vegetation coverage in Jiuzhaigou decreased from 83.35% to 79.64% after the earthquake but has gradually increased, reaching 80.91%, 81.68%, and 82.12% in 2022, 2023, and 2024 respectively [2]. - The proportion of low vegetation coverage areas has significantly decreased, while the proportion of medium to high vegetation coverage areas has increased, indicating a steady recovery of the ecosystem [2]. Group 2: Geological Disaster Management - The research team has been tracking landslides and collapses in the Jiuzhaigou area, finding that high-risk zones have decreased and low-risk zones have increased [2]. - In 2023, the number of landslides and collapses decreased by 65, with a reduction in area by 0.6 square kilometers compared to 2022 [2]. - Some landslide surfaces have begun to regrow vegetation, indicating stabilization by 2024 [2]. Group 3: Ongoing Challenges and Recommendations - Despite the overall positive recovery, there are still potential risks of landslides and debris flows in areas heavily impacted by the earthquake, necessitating continued disaster engineering management and ecological restoration efforts [3]. - Recommendations include enhancing research on the relationship between atmospheric precipitation, snowmelt, and groundwater to address climate change impacts on the landscape [3]. - A comprehensive assessment system that integrates natural and human factors is essential for effective heritage protection, ensuring that human activities do not interfere with natural recovery processes [3].

这一发现将推动学界重新审视古今气候系统的关联机制，进一步完善古今气候对比研究的理论框 架。该团队介绍，过去学界普遍认为，当前气候及环流变化与约13万年前的末次间冰期暖期具有相似幅 度，而本研究打破了这一传统认知。研究揭示，二者差异源于地球绕太阳运行轨道变化带来的太阳辐射 量差异：13万年前的末次间冰期暖期，地球轨道偏心率与岁差同步达到峰值，显著改变了驱动南极绕极 流的西风强度与分布。 记者近日从海南大学获悉，该校海洋碳氮循环与全球变化团队研究发现，在约13万年前的末次间冰 期暖期，南极绕极流南部边界流速达现代流速的3倍，整体南移超5个纬度，这一变化直接导致南极冰盖 消融加剧。相关研究成果近日发表于《自然·通讯》。 结合当前及未来地球轨道偏心率与岁差均呈低值且持续下降的趋势，研究人员进一步提出，未来南 极绕极流或向北移动，有望抵消气候变暖引发的南移趋势，为精准预测未来全球气候变化提供了关键基 准。 研究团队依托国际大洋发现计划（IODP）382航次，通过美国"决心号"科学钻探船，在南极斯科舍 海3000—4000米深海钻取沉积岩芯，创新采用分选粉砂粒径分析法，重建了末次间冰期南极绕极流的动 态演变历史。在洋流沉 ...

Group 1: Robotics and AI in Gaming - The interactive chess area at the exhibition was a major attraction, featuring multiple chessboards and a strong AI opponent that adapts to the player's skill level, with capabilities comparable to professional players in Go [2] - The chess-playing robot developed by Shanghai Yuanluobo Intelligent Technology Co., Ltd. utilizes a visual recognition system and precise mechanical arms, allowing it to dynamically adjust its strategy based on the opponent's skill level [2] - A children's chess robot designed for ages 3 to 12 was also showcased, supporting four types of chess games, indicating a focus on early education in gaming [2] Group 2: AI in Music Creation - The AI music creation tool, Tunee, allows non-professionals to easily create music by simply describing their feelings or stories, significantly lowering the barriers to music composition [3] - Tunee can generate lyrics, melodies, and even a personalized music video, showcasing its comprehensive functionality [3][4] - An intelligent guitar equipped with LED lights provides real-time visual guidance for beginners, enhancing the music learning experience [4] Group 3: MR Technology in Education - The MR glasses developed by Shenyang Jinran Technology Co., Ltd. transform any location into a virtual laboratory, allowing users to conduct experiments safely without the constraints of a physical lab [5] - The MR system includes 43 designed experimental courses that record user actions and generate performance reports, helping students identify areas for improvement [5][6] - Feedback from a school using the MR glasses indicated increased student interest and better understanding of experimental concepts [6]

Core Insights - The popularity of smartwatches during the recent "Double Eleven" shopping festival is attributed to their upgraded health monitoring features, particularly stress testing, which has become a major selling point [1] - However, there are concerns regarding the accuracy of these stress monitoring capabilities, as users report discrepancies between their actual stress levels and the readings provided by the devices [1] Smartwatch Monitoring - Most consumer-grade smartwatches assess stress primarily through heart rate variability (HRV), which reflects the autonomic nervous system's regulation [2] - HRV decreases under stress due to sympathetic nervous system activation and increases during relaxation due to parasympathetic dominance [2] - Smartwatches collect heart rate data and analyze it through algorithms to estimate the user's stress level, presenting it as a stress score [2] Discrepancies in User Experience - Factors such as physical conditions and lifestyle choices can lead to significant fluctuations in HRV, causing misinterpretations of stress levels by smartwatches [3] - Common scenarios include stable HRV readings after late-night activities leading to a false sense of well-being, or decreased HRV due to physical exertion or caffeine intake resulting in incorrect stress overload alerts [3] - The use of a one-size-fits-all model in these devices fails to account for individual differences in HRV baselines, leading to inaccurate assessments [3] Professional Medical Testing - Professional stress assessments utilize a multi-dimensional approach rather than relying on a single indicator, incorporating various physiological metrics [4] - The recognized physiological indicators for stress include autonomic nervous system metrics (like HRV), endocrine indicators (such as cortisol), immune indicators, and neurotransmitter levels [5] - Standardized testing protocols are essential, adhering to guidelines from organizations like the World Health Organization (WHO) to ensure accurate assessments [5] Stress Management Guidelines - Long-term exposure to stress can negatively impact health, making self-awareness of stress levels crucial for management [6] - Individuals can monitor their stress through physical symptoms, emotional states, and cognitive behaviors, seeking professional help if symptoms persist [6] - Effective stress relief strategies include simple, sustainable practices like light exercise, deep breathing, and engaging in hobbies to alleviate stress [7]

Core Insights - Researchers at Rice University have developed a new type of reactor that efficiently converts lithium from waste batteries into high-purity lithium hydroxide, paving a cleaner and more economical path for lithium resource recovery [1][2] Group 1: Technology and Process - The new electrochemical reactor simplifies the recycling process by directly generating high-purity lithium hydroxide from lithium ions in discarded cathodes, significantly reducing the number of processing steps [1] - The reactor has a compact design, measuring only 20 square centimeters, and has successfully operated for 1,000 hours while processing 57 grams of industrial black waste [1] - The purity of the recovered lithium hydroxide exceeds 99%, with an average recovery rate close to 90% [1] Group 2: Energy Efficiency - The technology demonstrates excellent energy efficiency, consuming only 103 kilojoules of energy per kilogram of waste in one mode, which is significantly lower than traditional acid leaching processes [1] - In another mode, the energy consumption is just 536 kilojoules per kilogram [1] Group 3: Versatility and Supply Chain Resilience - This method is applicable to various battery types, including lithium iron phosphate, lithium manganese oxide, and nickel manganese cobalt materials [1] - The reactor can even process complete lithium iron phosphate electrodes attached to aluminum foil without the need for scraping or pre-treatment, enhancing supply chain resilience [2]

Core Insights - The development of the world's first artificial intelligence (AI) attitude controller for satellites by scientists at the University of Würzburg represents a significant advancement in the autonomy of space systems [1][2] - The AI controller was successfully validated on a nanosatellite named InnoCube, demonstrating its ability to perform complete attitude maneuvers within a short time frame [1] - The project utilizes deep reinforcement learning technology, allowing the neural network to autonomously learn control strategies in a simulated environment, which is a departure from traditional fixed algorithms [1] Group 1 - The AI controller executed a complete attitude maneuver during a 9-minute satellite transit, adjusting the satellite's position with precision [1] - The innovative approach automates the parameter tuning process that traditionally takes months, enabling the controller to adapt to real environmental changes without manual calibration [1] - High-fidelity simulations were conducted on the ground before uploading the mature algorithms to the satellite, ensuring reliability in real space conditions [1] Group 2 - InnoCube serves as a platform for testing new concepts directly in orbit, highlighting its role in advancing space technology [2] - The wireless satellite bus SKITH, which replaces traditional wiring with wireless data transmission, reduces weight and potential failure points in the control system [2] - The validation of this AI controller opens new prospects for deep space exploration, where intelligent autonomous control systems will be crucial for spacecraft survival in interplanetary or deep space missions [2]

科技日报记者 王禹涵 近日，记者从隆基绿能科技股份有限公司获悉，该公司联合苏州大学、西安交通大学等研究团队研发的商业尺寸硅片级柔性叠层电池效率达29.8%，获德国 弗劳恩霍夫太阳能研究所认证，成为全球首个获权威认证的该类型电池效率世界纪录。该成果于11月10日在《自然》杂志在线发表。 晶硅-钙钛矿叠层电池技术通过融合两种半导体材料的优势，将理论效率大幅提高，是公认的新一代光伏技术。然而其商业化一直面临柔性与稳定性难以兼 顾的核心难题。 传统观念认为单晶硅是刚性脆性材料，研究团队通过将硅片厚度降至60微米，使其具备柔韧性，弯曲半径低于2厘米也不会破裂，但钙钛矿功能层在弯曲时 易分层失效的问题，仍制约着其实际应用。 为此，研究团队创新构建了"疏松加致密"的双层SnOx缓冲层结构，其中疏松层能像弹簧床垫一样吸收机械应力，致密层则确保高效的电荷传输。这一设计 有效化解了应力缓冲与高效传输的矛盾。 基于该技术，研究团队研制出厚度仅60微米的超薄全硅片柔性叠层器件，不仅实现了近30%的转换效率，还可实现对折，弯曲半径达1.5厘米，重量不到4.4 克，单位重量功率高达1.77瓦/克。实验室小面积器件效率经美国国家可再生能源 ...

Core Insights - The storage chip market is experiencing an unusual price inversion, where the older DDR4 memory is priced higher than the more advanced DDR5, with DDR4 32GB RDIMM prices exceeding $290, a rise of over 300% since the beginning of the year, while DDR5's price increase is less than half of that [1] - The price discrepancy is driven by deep-seated supply and demand issues, as many domestic data centers continue to use DDR4-compatible CPU platforms, while major DRAM manufacturers are phasing out DDR4 production [1][2] - The shift towards DDR5 is being propelled by AI applications, with DDR5 now accounting for over 90% of the global server DRAM market, but the domestic ecosystem is lagging in adaptation [2][3] Supply and Demand Dynamics - Major storage companies like Samsung and SK Hynix are focusing production on DDR5 and high-bandwidth memory for AI, leading to a continuous reduction in DDR4 production lines [2][4] - Some distributors are stockpiling DDR4 inventory, causing irrational price increases, with some transactions exceeding a 50% premium, indicating a departure from normal pricing mechanisms [2] Industry Challenges - The transition to DDR5 requires comprehensive support from CPUs, motherboards, and software, which poses a challenge for domestic manufacturers [3] - If the industry remains reliant on DDR4 technology, it risks falling behind in the global AI computing competition, as DDR4's price advantage has diminished due to its rising costs [4][3] Strategic Recommendations - Industry stakeholders are urged to recognize the opportunity presented by the transition to DDR5 rather than struggling in the distorted DDR4 market [5]

Core Insights - The 20th Global Forum on Human Settlements (GFHS) was held in Geneva, Switzerland, where Chinese company Abok Building Materials (Kunshan) Co., Ltd. received the "New Sustainable City and Human Settlements Award" for its LP Low-Carbon Intelligent Construction System [1] - The "New Sustainable City and Human Settlements Award" was established in 2005 to recognize innovation and leadership in sustainable urban and human settlement practices, with 19 projects awarded this year, 9 of which are from China [1] - The LP Low-Carbon Intelligent Construction System re-engineers traditional construction methods by transferring key processes to factory settings, utilizing specialized equipment and robots for standardized production, and employing AI algorithms for comprehensive process control [1][2] Industry Impact - The LP system's robots operate at approximately 9 times the efficiency of human labor, reducing construction cycles by about 40%, while enhancing quality consistency, safety, and management efficiency [2] - The LP system emphasizes "full-process green manufacturing," utilizing clean energy and photovoltaic systems, achieving "zero wastewater and low energy consumption" in production, and reducing material waste by approximately 10% [4] - Buildings constructed using the LP system can reduce carbon emissions by about 20% over their entire lifecycle compared to traditional construction methods, according to calculations from Tongji University [4] Collaborative Efforts - Abok Building Materials has established partnerships with universities such as Tongji University and Southeast University to create industry-academia-research centers and has contributed to local standards for prefabricated construction technologies [4] - The LP system has been implemented in regions including Jiangsu, Shanghai, and Sichuan, and is being exported internationally, forming an integrated output system of "technology + equipment + standards + training" [4]