Core Insights - The latest research published in the New England Journal of Medicine demonstrates that rapid genome sequencing and interpretation can be completed within hours, marking a significant advancement in clinical medicine and offering the potential for more precise and timely treatment for critically ill infants [1][2]. Group 1: Research Findings - Current rapid genome sequencing methods typically take several days from sample collection to report issuance, whereas many critical care decisions in neonatal intensive care units must be made within hours [1]. - The research team, in collaboration with Boston Children's Hospital, Broad Clinical Laboratory, and Roche Sequencing Solutions, developed an efficient workflow that allows for sample collection in the morning and diagnosis report completion by the afternoon [1]. - The team utilized Roche's sequencing solutions prototype to analyze 15 human samples, achieving remarkable speed in sample processing, with the fastest instance taking just over 3 hours from DNA extraction to obtaining genetic variation data [1]. Group 2: Implications for Clinical Practice - This breakthrough brings the field closer to achieving "bedside genome sequencing," which could be integrated into routine diagnostic standards in intensive care units [2].

沙特阿卜杜拉国王科技大学研究人员在微芯片设计领域创下新纪录，成功研制出全球首个面向大面积电 子器件的6层堆叠式混合互补金属氧化物半导体（CMOS）芯片。此前公开报道的混合CMOS堆叠层数 从未超过两层，这一突破标志着芯片集成密度与能效迈上新台阶，有助电子设备的小型化和性能提升。 CMOS芯片几乎存在于所有电子设备中，从手机、电视到卫星和医疗仪器。与传统硅基芯片相比，混合 CMOS芯片在大面积电子领域更具优势，有望在柔性电子、智慧医疗和物联网等领域发挥重要作用。 在微芯片设计中，核心目标就是在更小的空间里实现更高性能。此次研究通过优化多个关键步骤，为垂 直扩展与功能密度的进一步提升提供了一条可行路径。 （文章来源：科技日报） 长期以来，半导体行业一直依靠缩小晶体管尺寸来提高集成密度，但已接近量子力学的极限，同时成本 也在急剧上升。要继续推进芯片性能，必须走出平面扩展的思路，垂直堆叠晶体管是最具潜力的方向之 一。 芯片多层堆叠的最大挑战在于制造温度。常规工艺往往需要几百摄氏度的高温，这在添加新层时可能会 损坏下层结构。而新方法中，所有工艺步骤的温度均未超过150℃，多数步骤甚至接近室温完成，显著 降低了材料受损风 ...

Core Insights - The development of a novel three-dimensional human brain tissue platform, termed "miBrain," represents a significant advancement in modeling human brain complexity for neurological disease research and drug development [1][2][5] Group 1: Model Characteristics - miBrain is the first in vitro model to integrate all six major cell types of the human brain, including neurons, astrocytes, oligodendrocytes, microglia, endothelial cells, and pericytes, creating a functional neurovascular unit [2][3] - The model is derived from induced pluripotent stem cells (iPSCs) and replicates key physiological features of human brain tissue, such as neural signaling, immune response, and blood-brain barrier functionality [2][3] Group 2: Research Applications - miBrain's modular design allows for precise genetic editing of specific cell types, enabling the simulation of pathological states caused by specific gene mutations while controlling for other genetic factors [3][4] - The model has been utilized to study the impact of different apolipoprotein E (ApoE) genotypes on Alzheimer's disease pathology, demonstrating that astrocytes carrying the ApoE4 variant can drive key pathological processes independently [3][4] Group 3: Implications for Drug Development - The introduction of miBrain marks a shift towards more physiologically relevant brain models, overcoming limitations of traditional single-cell or animal models that often fail to translate findings to human conditions [5][6] - Future enhancements to miBrain, such as incorporating microfluidic systems and single-cell RNA sequencing, aim to further refine the model's accuracy in mimicking live brain conditions and understanding neuronal heterogeneity [6]

Core Viewpoint - The coal washing and selection process is crucial for improving coal quality and promoting clean utilization, with significant advancements expected in technology and management practices [1][2] Group 1: Current State and Challenges - The current coal washing situation in China shows a mix of advanced and outdated capacities, with issues in clean production levels and insufficient utilization of coal gangue [1] - There is a need for further regulation and guidance to achieve higher levels of development in coal washing [1] Group 2: Future Goals and Initiatives - By the end of the 14th Five-Year Plan, coal washing facilities are expected to meet the needs of raw coal selection, with continuous optimization of washing capacity structure and significant progress in intelligent coal washing plant construction [1] - The original coal selection rate is anticipated to steadily increase, and the connection between coal products and their upstream and downstream processes will become smoother [1] Group 3: Key Tasks and Technological Advancements - The document outlines seven key tasks focused on enhancing washing capacity, promoting intelligent construction, improving clean and efficient production levels, and strengthening technological research and pilot applications [1][2] - Key equipment development will include large-scale crushing and sorting, centrifugal dewatering, and pressure filtration, with an emphasis on increasing the domestic production rate of electronic components [2] - The establishment of a theoretical system for dry coal selection and the promotion of intelligent dry coal selection technology are also highlighted as priorities [2]

Core Viewpoint - The article highlights the advancements in customs supervision technology, particularly the development of the "Wood Identification" AI system, which significantly enhances the efficiency and accuracy of wood species identification in customs inspections [1][2]. Group 1: Technological Advancements - The "Wood Identification" AI system was launched in November 2021 by Zhangjiagang Customs, marking a pioneering effort in the national customs system [1]. - The system utilizes portable image capture terminals to collect high-definition images of wood and harmful organisms, employing AI image recognition technology to identify wood species within 5-10 minutes [1]. - The system has undergone five iterations to improve image clarity and color accuracy, allowing for precise capture of wood texture and color differences [1]. Group 2: System Capabilities and Implementation - The "Wood Identification" system can currently identify 145 common wood species, 110 types of weed seeds, and 32 types of insects [2]. - The system has been implemented across 45 ports and laboratories in 22 direct subordinate units nationwide, promoting standardized operations and enforcement at customs [2]. - The integration of the "Wood Identification" system facilitates a unified platform for customs enforcement, ensuring consistent standards and assessments [2].

Core Insights - Volcano Engine has released a series of updates for the Doubao large model, including Doubao 1.6, which natively supports multiple thinking lengths, and new models such as Doubao Voice Synthesis Model 2.0 and Doubao Voice Replication Model 2.0 [1] Group 1: Model Updates - Doubao 1.6 introduces four thinking lengths (minimum, low, medium, high) to balance model performance, latency, and cost for enterprises, making it the first model in China to support "tiered thinking length adjustment" natively [2] - Doubao 1.6lite is a lighter version of the flagship model, offering faster inference speed and a 53.3% reduction in overall usage costs compared to Doubao 1.5pro in the most commonly used input range of 0-32k [2] - The Smart Model Router, a solution for intelligent model selection, has been launched, allowing automatic selection of the most suitable model for task requests, optimizing both performance and cost [2] Group 2: Market Performance - As of the end of September, the daily token usage for Doubao has exceeded 30 trillion, representing an over 80% increase since the end of May [1] - According to IDC, Volcano Engine holds a 49.2% market share in China's public cloud large model service market, ranking first [1]

Core Insights - The 2025 Intelligent Connected Vehicle Conference showcased advancements in China's electric vehicle industry, highlighting innovations in autonomous driving and smart technology [1] - China's automotive industry has achieved significant breakthroughs during the 14th Five-Year Plan, with electric vehicle production and sales reaching new heights, making China the world's largest exporter of automobiles [1][5] - Continuous innovation in battery technology and smart systems is transforming vehicles into intelligent mobility platforms, enhancing user experience and safety [3][4] Group 1: Industry Developments - The conference featured a fully autonomous Robotaxi operation model and a new generation of self-driving cars equipped with 33 high-precision sensors for comprehensive environmental recognition [1] - The integration of domestic chips in electric vehicles is a testament to the growth of China's semiconductor industry, with a full-scale model demonstrating products from ten major domestic chip companies [1] - The automotive industry has seen a fourfold increase in battery charging efficiency over the past five years, with a domestic vehicle localization rate exceeding 95% [3] Group 2: Technological Innovations - A new flexible battery material developed by the Chinese Academy of Sciences can withstand 20,000 cycles of bending, improving energy density by 86% when used in composite cathodes [2] - The "vehicle-road-cloud integration" system enhances driving safety by providing real-time traffic signal and road condition information to vehicles, addressing challenges in autonomous driving [4] - AI applications in Chinese automotive companies are rapidly advancing, with significant growth in electric vehicle exports, which reached 1.758 million units in the first nine months of the year, a 89.4% increase year-on-year [5]

Core Points - The newly issued "Management Measures for the Administration of Journals under the China Association for Science and Technology" aims to clarify the responsibilities and standards for charging publication fees in academic journals [1][2] - The measures address various regulatory challenges faced by journals, including issues related to political orientation, management systems, content quality, and business cooperation [2] - The China Association for Science and Technology oversees over 500 journals, which have shown positive development trends but still face challenges such as insufficient attraction of high-level results and non-compliance in management [2][3] Group 1 - The management measures specify that the sponsoring units are responsible for reviewing the methods, principles, and standards for charging publication fees [1] - Violations identified include improper business practices such as selling or renting journal numbers, allowing advertising partners to interfere in editorial processes, and conducting unauthorized forums or awards [1][2] - The measures emphasize the importance of academic self-discipline, scientific ethics, research integrity, and information security in the context of digital publishing and media convergence [2] Group 2 - The China Association for Science and Technology plans to enhance the implementation of the management measures by strengthening guidance and inspection of journal publishing, improving evaluation mechanisms, and increasing accountability for management responsibilities [3] - The goal is to elevate the quality and standards of journals within the association's system, contributing to the establishment of world-class scientific journals [3]

Core Insights - The successful completion of the first phase of the Zhuque-3 rocket's maiden flight, including propellant loading and static ignition tests, marks a significant milestone for the company [1] - The Zhuque-3 rocket is designed for large constellation networking tasks, featuring a large payload capacity, low cost, and reusability [2] Group 1 - The Zhuque-3 rocket's maiden flight consists of two phases: the first phase involves propellant loading and static ignition tests, while the second phase focuses on orbital launch and attempting first-stage recovery [1] - The first phase of testing has validated the entire process from horizontal transport to vertical operation, ensuring the compatibility of the rocket system with the launch site system [1] - Following the completion of the first phase, the company will analyze the test data to refine processes and plans, ensuring quality and safety before proceeding to the second phase [1] Group 2 - The Zhuque-3 rocket, officially initiated in August 2023, has a diameter of 4.5 meters for the first and second stages, a fairing diameter of 5.2 meters, and a total length of 66.1 meters, with a launch mass of approximately 570 tons and a thrust exceeding 750 tons [2] - The rocket's main structure is made of stainless steel, and the first stage is equipped with nine TQ-12A liquid oxygen-methane engines, along with a reaction control system, grid fins, and landing legs for high-precision return and soft landing [2]

团队采用一种精确的电化学技术，实际测得的嵌入速率远低于以往报道的数值。基于这些数据，团队提 出了新的耦合离子-电子转移理论。该理论指出，真正的电化学限速步骤并非是锂离子的嵌入，而是电 子转移过程，即电极材料被还原以准备接收锂离子的过程。锂离子的嵌入与电子的转移相互促进，共同 决定了反应的整体速率，这为理解电池反应动力学提供了更精确的理论基础。 此次新模型表明，锂离子嵌入电极并非一个孤立的离子行为，而是必须伴随着电子的同步转移。也就是 说，只有当电解质中的电子同时转移到电极材料中，还原该材料以容纳锂离子时，嵌入反应才能高效进 行。这一发现挑战了长期以来的主流假设。过去几十年中，人们在测量锂嵌入速率时经常得到彼此矛盾 的结果，不同实验室的测量值甚至可相差十亿倍，这使得建立统一的理论框架变得异常困难。 美国麻省理工学院团队首次系统测量了多种电池材料中的锂离子嵌入速率，并基于实验数据提出了一种 全新的理论模型，研究人员凭借简单公式即可设计出下一代电池。新成果使电池主导反应机制更快、更 可控，从而显著提升电池的充放电速度和使用寿命，并为人们理解不同材料和界面的反应行为提供了统 一理论视角。研究成果发表在最新一期《科学》 ...