Core Viewpoint - The 26th typhoon "Phoenix" is expected to make landfall in the southwestern coast of Taiwan on the afternoon to night of November 12, following significant damage caused in the Philippines after its landfall on November 9 [1][2]. Group 1: Typhoon Characteristics - Typhoons can still form and be active in November, which is not unusual, as the Northwest Pacific and South China Sea are the only regions globally where typhoons can occur year-round [1]. - The period from April to December is the main time for typhoons to make landfall [1]. - Historical data shows that from 2001 to 2024, there have been eight years with the occurrence of double typhoons in November [1]. Group 2: Typhoon Intensity and Impact - Generally, typhoons in November may be weaker due to cooler weather, but this is not always the case; warmer sea temperatures can still lead to the formation of strong or even super typhoons [1]. - The 2013 Typhoon "Haiyan" was a notable example, causing catastrophic impacts in the Philippines and Vietnam, with over 6,300 deaths in the Philippines and economic losses exceeding $2 billion [2]. Group 3: Typhoon Path and Forecast - The predicted path of "Phoenix" shows a northwest turn, then a shift to the northeast, influenced by the subtropical high and the southwest wind trough in South China [2]. - The typhoon is expected to bring strong winds and heavy rainfall to eastern and southern coastal areas of China, particularly in southeastern Fujian and eastern Taiwan, with warnings for potential geological disasters and urban flooding [3]. Group 4: Future Typhoon Activity - Current monitoring indicates that there is a low likelihood of additional typhoons forming in the Northwest Pacific and South China Sea in the near future, aside from "Phoenix" [4].

Core Insights - The article discusses the development of an "artificial ocean carbon cycling system" that captures CO2 from seawater and converts it into valuable chemical products, addressing both ocean acidification and carbon neutrality goals [1][4]. Group 1: Carbon Capture Technology - The research focuses on efficient carbon capture from seawater, overcoming challenges such as membrane swelling and electrode contamination that limit traditional methods to less than 10 hours of continuous operation [2]. - A new electrochemical carbon capture device was designed, achieving over 500 hours of stable operation with a CO2 capture efficiency exceeding 70%, and a cost of approximately $229.9 per ton of CO2 captured, which is significantly lower than current industry standards [4]. Group 2: Bioconversion of Captured CO2 - The research team developed a "microbial cell factory" that utilizes formic acid, derived from captured CO2, to produce biodegradable plastic monomers such as succinic acid and lactic acid [5]. - Stable carbon isotope labeling experiments confirmed that the carbon atoms in succinic acid originated from the initially captured CO2, demonstrating the system's potential for sustainable material production [5]. Group 3: Future Industrial Applications - The research team aims to create an integrated "green factory" that continuously captures CO2 from seawater and converts it into green plastic materials, showcasing the industrial potential of the system [6]. - The system could produce a diverse range of products, including biodegradable straws, packaging materials, and environmentally friendly detergents, contributing to the reduction of ocean acidification and promoting a circular economy [6].

11月12日，同济大学党委常委、副校长许学军在教育部新闻发布会上透露，当前同济大学正全力打造一 所面向未来的科技中学。 "我们在筹建过程中，正是按照这样一种体系化的设计，从课程、师资到空间做到大学和中学的充分衔 接和融合。"许学军说。 许学军表示，《关于加强中小学科技教育的意见》提出，要依托高校探索建立大中小科技教育共同体， 为科技教育提供人才与组织支撑。大学要在课程建设上发挥"引领"作用。充分发挥学科优势与科研积 累，将前沿学术成果转化为中小学科技教育可理解、可实施的指导方案，帮助中小学教师更新教育理 念、优化课程设计。大学要在师资培育上发挥"赋能"作用。通过"国家优秀中小学教师培养计划"、中小 学科技教师高级研修班等项目，定向培养高素质科技教育师资，系统提升他们的学科知识储备、科学素 养与教学能力。探索建立"双聘"机制，鼓励大学教师到中小学担任科技教育导师或兼职教师，提升中小 学科技教育质量。大学要在资源共享上发挥"贯通"作用。主动将优质通识课程、教授科普讲座等转化为 线上资源，加大帮扶和支教力度，服务和支援教育资源薄弱地区，让偏远地区共享高质量科技教育资 源。 （文章来源：科技日报） ...

Core Insights - Researchers from Rice University, in collaboration with Los Alamos and Sandia National Laboratories, have developed a new signal control method that can determine the direction of a signal with an accuracy of 0.1 degrees, improving upon existing technologies by approximately tenfold [1][2] - This breakthrough is likened to equipping 6G communication signals with "instant GPS," addressing the challenge of quickly aligning high-frequency signals, which is crucial for ultra-high-speed data communication [1][2] Group 1 - The high-frequency bands are expected to be a key support for future 6G networks, catering to high-data applications such as wireless virtual reality headsets and real-time perception systems [1] - The developed method allows for almost instantaneous connections, enabling wireless links to be established or restored with extremely low latency, facilitating automatic identification and alignment of devices within milliseconds or even picoseconds [1][2] Group 2 - The technology functions like a "lighthouse" emitting multi-colored light, where each color's intensity varies randomly in different directions, allowing receivers to deduce their precise position relative to the transmitter [2] - The use of a super-thin electronic surface enables the scattering of signals into unique patterns based on direction and frequency, creating distinct "electromagnetic fingerprints" for rapid signal source identification [2] - This foundational breakthrough resolves the issue of rapid alignment of 6G signals, paving the way for widespread applications in wireless VR, holographic communication, and remote precision surgery, all of which require near-zero latency for massive data transmission [2]

Group 1 - The East Asia Summit New Energy Forum has officially established a secretariat, marking a new phase of institutionalized and normalized cooperation in the region's new energy sector [1] - The forum has attracted over 2,800 participants since its inception in 2013, serving as a crucial link for East Asia's new energy collaboration [1] - The energy demand in East Asia accounts for 35% of the global total, with a high reliance on traditional energy sources, necessitating the construction of a regional energy community through interconnected power grids and joint research [1][2] Group 2 - Yunnan Province aims to build a cooperative system based on its industrial practices, establishing a new energy technology cooperation alliance to promote open sharing of research facilities and data resources [2] - Yunnan has a new energy installed capacity of 68 million kilowatts, providing solid support for regional cooperation [2] - The province has formed advantages in multiple industries, including a "1+4+4" layout in the photovoltaic sector, and has launched the first green hydrogen full industry chain demonstration project in the country [2][3] Group 3 - The forum includes thematic reports, keynote speeches, and roundtable discussions to promote consensus among member countries on new energy technology transformation and regional collaborative innovation [3] - The establishment of the forum secretariat is seen as a model for global regional energy cooperation [3]

Core Points - China has submitted the "2035 Nationally Determined Contribution Report" to the UN Framework Convention on Climate Change, outlining its goals for reducing greenhouse gas emissions and increasing the share of non-fossil energy consumption by 2035 [1][2] Group 1: Emission Reduction Goals - By 2035, China's total greenhouse gas emissions are targeted to decrease by 7% to 10% from peak levels, with a goal of achieving better results [1] - The share of non-fossil energy consumption in total energy consumption is expected to exceed 30% [1] - Installed capacity for wind and solar power is aimed to reach over six times that of 2020, targeting 360 million kilowatts [1] Group 2: Technological Innovation and Support - The report emphasizes the need for significant scientific research and technological innovation to support climate change mitigation efforts [1] - A series of policies and actions will be implemented focusing on legal frameworks, greenhouse gas control, and climate adaptation, with technology innovation being a key driving force [2] Group 3: Ecosystem and Carbon Sink Enhancement - Actions will be taken to enhance the carbon sink capacity of ecosystems, including promoting efficient agricultural practices and integrated protection of natural resources [2] - By 2035, the area of ecological protection red lines is expected to be no less than 3.15 million square kilometers, with a forest coverage rate target of over 26% [2] Group 4: Climate Change Adaptation - The report calls for strengthening monitoring, early warning, and risk assessment capabilities related to climate change [2] - By 2035, a comprehensive flood prevention and disaster reduction system is expected to be established, significantly improving flood safety and response capabilities [2]

但这一切终究只是推测。没人真正亲眼见证其发生。 这是大自然在纳米尺度上写下的精妙光学诗篇。 在加拿大阿尔伯塔省的荒野深处，埋藏着仿佛不属于地球的斑彩石。它不像普通的化石那样灰暗沉 闷，反而闪烁着霓虹灯般的色彩：绿如深海，红似火焰，蓝若极光，紫如暮霭。转动它，颜色便随之流 动变幻，如同把整个彩虹封存进了岩层。它的精彩不输宝石，但其真实身份，是一块距今7000万年的菊 石壳化石——一种早已灭绝的海洋生物的遗骸。 可为什么一块死去的贝壳，能比活着的珊瑚还要绚丽？长久以来，科学家推测它的美来自贝壳内部 一种叫珍珠层的结构。这种结构由无数极薄的霰石矿物片层堆叠而成，层与层之间夹着微量的有机物 质，就像千层蛋糕一样精密。当光线照进去，会在这些微小的层间反复反射、干涉，最终把白光"拆 解"成五颜六色的光谱，就像水面上的油膜或孔雀羽毛那样。 原来，所有样本的珍珠层都是由霰石片层堆叠而成，但斑彩石的结构格外"讲究"，它的片层之间留 有极其精确的4纳米宽的空隙。这大约是头发丝直径的十万分之一！正是这个微小却关键的间隙，让光 线在其中发生强烈的反射与干涉，激发出最饱和、最明亮的色彩。更神奇的是，这些片层厚度几乎完全 一致，排列也极 ...

Core Insights - A new signal control method developed by researchers from Rice University in collaboration with Los Alamos and Sandia National Laboratories can determine the direction of signals with an accuracy of 0.1 degrees, improving precision by approximately 10 times compared to existing technologies [1] - This advancement is likened to equipping 6G communication signals with "instant GPS," addressing the challenge of quickly aligning high-frequency signals, which is crucial for ultra-high-speed data communication [1] Summary by Sections Technology Development - The new method allows for almost instantaneous connections between transmitters and receivers, enabling high-precision angle estimation of signals in a very short time [1] - The technology is expected to facilitate low-latency wireless links, allowing devices to automatically identify and align with each other in milliseconds or even picoseconds [1] Application Potential - High-frequency bands are anticipated to be key for future 6G networks, supporting applications such as wireless virtual reality headsets and real-time perception systems that require high data rates [1] - The ability to quickly and accurately lock onto signals will enhance the reliability and intelligence of 6G networks, paving the way for smart cities and applications like wireless VR, holographic communication, and remote precision surgery [3] Methodology - The research team utilized a super-thin electronic surface that scatters signals into unique patterns based on the direction and frequency of the waves, creating distinct "electromagnetic fingerprints" for each direction [2] - Receivers can determine the signal source within a few picoseconds by comparing received patterns with a pre-established signal library [2]

Core Insights - A self-driven experimental system developed by the University of Chicago's Pritzker School of Molecular Engineering can autonomously synthesize and optimize materials without continuous human intervention [1][2] - This system integrates robotic automation and machine learning algorithms to create a closed-loop operation from experiment execution to performance measurement and result analysis [1][2] Group 1: System Overview - The system focuses on Physical Vapor Deposition (PVD) technology, which is sensitive to temperature, time, material purity, and environmental conditions, making accurate predictions challenging [2] - Traditional methods require manual adjustments and typically take over a day per experiment, leading to inefficiencies [2] - The new robotic system automates all PVD steps, including sample handling, film preparation, and performance testing [2] Group 2: Machine Learning Integration - Collaboration with computer scientists led to the development of specialized machine learning algorithms that guide the system in synthesis and analysis while dynamically adjusting experimental conditions [2] - Users only need to input desired film performance metrics, and the machine learning model autonomously plans the experimental path [2] Group 3: Performance Validation - The system was tested by aiming to produce silver films with specific optical properties, achieving the target in an average of just 2.3 experiments [3] - The self-driven system was able to explore various process conditions comprehensively, accomplishing what would take human teams weeks in just a few runs [3] Group 4: Cost Efficiency - The entire setup is significantly cheaper than previously developed commercial automated systems, costing an order of magnitude less [4]

Core Points - China has officially submitted the "2035 Nationally Determined Contribution Report" to the UN Framework Convention on Climate Change, outlining its commitment to climate change mitigation and technological innovation [1] - The report sets ambitious targets for reducing greenhouse gas emissions and increasing the share of non-fossil energy consumption by 2035 [1][2] Group 1: Emission Reduction Goals - By 2035, China's total greenhouse gas emissions are expected to decrease by 7% to 10% from peak levels, with a target for non-fossil energy consumption to exceed 30% of total energy consumption [1] - Wind and solar power generation capacity is aimed to reach over six times the 2020 levels, targeting 360 million kilowatts [1] - Forest stock is projected to exceed 24 billion cubic meters, with new energy vehicles becoming the mainstream of new vehicle sales [1] Group 2: Technological and Policy Innovations - The report emphasizes the need for significant scientific research and technological innovation to support climate change mitigation efforts [1][2] - Policies will focus on green low-carbon technology upgrades, promoting green manufacturing and service industries, and establishing a green low-carbon industrial chain [2] - A series of actions will be implemented to enhance the legal framework, greenhouse gas emission control, and climate change adaptation [1][2] Group 3: Ecosystem and Carbon Sink Enhancement - Initiatives will include agricultural emission reduction and carbon sequestration actions, promoting efficient cultivation techniques [2] - The report outlines plans for integrated protection and systematic management of ecosystems, with a target of maintaining at least 3.15 million square kilometers of ecological protection red lines and achieving a forest coverage rate of over 26% by 2035 [2] - A carbon sink monitoring and accounting system will be established to track ecosystem carbon sequestration capabilities [2] Group 4: Climate Change Adaptation - The report calls for enhanced monitoring, early warning, and risk assessment capabilities related to climate change [2] - By 2035, a comprehensive flood prevention and disaster reduction system is expected to be in place, significantly improving flood safety and response capabilities [2] - Restoration efforts for coastal wetlands are projected to cover approximately 50,000 hectares [2]