据悉，平台的实用价值已在多个领域得到验证。在药物工程领域，团队通过平台筛选出抗癫痫药加巴喷 丁的两种塑性共晶，其片剂抗拉强度较原料药分别提升8.5倍和5.7倍，有效解决了原药压片易碎裂的行 业难题。在功能材料方面，团队成功将脆性晶体PAPA改造为兼具弹性和光响应的柔性发光晶体，为新 型光驱动器件提供了可能。 目前，该平台已在Hugging Face开源。全球科研人员无需编程基础，只需绘制或输入分子结构，即可在 线获取性质预测结果与关键片段的可视化图表，通过科研人员的协同创新加速技术迭代升级。 由于缺乏高效的设计方法，柔性晶体的研发长期依赖于偶然发现。论文通讯作者、天津大学化工学院教 授龚俊波介绍，传统"试错式"研究不仅周期漫长、成本高昂，还难以定向调控晶体的机械性能，极大制 约了科研效率。 CrystalGAT平台通过融合图注意力神经网络与晶体工程技术，率先实现了有机分子晶体弹性、塑性及脆 性三大力学性质的精准预测与理性设计。其核心突破在于构建了"数据驱动－智能预测－靶点识别－结 构调控"的全链条技术范式。"平台通过深度学习海量数据，不仅能快速预测目标晶体的机械性能，更关 键的是，基于其注意力机制，可识别并可 ...

孩子常"分心"到底要不要治？ 开栏的话 近年来，大众对健康的关注已融入日常，对科学养生、疾病预防的知识需求也愈发迫切。然 而，优质科普资源较为稀缺，有的科普内容真假难辨，甚至可能误导公众。为此，本报今起推出"健康 指南"栏目，邀请权威专家为读者解读热点，提供可信、可用的健康"干货"。 临近期末考试，许多主打"快速提升专注力"的商品广告频繁出现在短视频中。这类广告称，相关产品可 以让孩子的专注力得到大幅提升，甚至能"治愈"注意缺陷多动障碍(ADHD)。 喧嚣的市场背后，是家长们的集体焦虑，更是对专注力概念的普遍误解与商业化滥用。那么，专注力究 竟是什么？五花八门的训练有效吗？孩子分心到何种程度才需要干预？带着这些疑问，科技日报记者专 访了天津市安定医院儿童青少年心理科专家。 简单短期练习难有大幅提升 不少家长看到孩子写作业分心、听课走神，就急于购买各类专注力训练产品，但首先得搞清楚，专注力 到底是什么。天津市安定医院儿童青少年心理科副主任医师雷彤介绍："专注力不仅能锁定目标，而且 能调动记忆、思维等'作战单元'协同攻坚，同时可以持续抵抗外界干扰。这是一个集主动选择、意志控 制、资源调配于一体的高级认知能力。" ...

近日，记者从中国电科院系统所获悉，该院牵头研发的"新型配电网高可靠保护"科技成果突破多源 协同、故障自愈等核心难题，构建起覆盖多场景的配电网保护技术体系，为新型电力系统建设筑牢安全 防线。 随着分布式电源大规模接入，传统配电网正向多源化、复杂化转型，电网故障特征发生深刻变化， 导致故障辨识难、处置慢等问题。为破解这一行业痛点，在团队负责人杨国生带领下，中国电科院联合 天津大学、山东大学、国网北京电力、南瑞继保、北京四方等产学研用多家单位历经十年攻关，依托重 大项目支持，取得三大核心突破：创新分布式电源自适应保护与控制协同技术，研发复杂拓扑线路高速 保护与恢复技术，攻克复杂非线性高阻接地故障灵敏辨识难题。 该成果实现配电网故障百毫秒级隔离与供电恢复，成功解决百毫安级微弱电流故障辨识难题。截至 目前，该成果已形成39项专利、41篇论文、6项标准及1部专著。基于该成果研制的13类新型保护设备在 30个省（区、市）的10（20）kV配电系统中应用超13万台，广泛服务电力、钢铁、轨道交通等行业， 部分设备已出口至海外12个国家。 作为新型电力系统安全运行的关键技术支撑，该成果不仅保障了首都及全国供电可靠性，更推动了 电 ...

Core Insights - The first cave training for astronauts in China has been successfully completed, involving 28 astronauts over a period of 6 days and 5 nights in Wulong District, Chongqing [1] Group 1: Cave Training Overview - Cave training simulates extreme conditions similar to space, such as isolation, confinement, and high risk, and was conducted in a selected cave after extensive site assessments across multiple provinces [2] - The training included tasks such as cave exploration, scientific research, resource management, and life support, with astronauts facing challenges like narrow passages, cliff climbing, and psychological stressors [2] Group 2: Objectives of Cave Training - The training aims to enhance astronauts' abilities in danger response, autonomous work, teamwork, emergency decision-making, scientific investigation, physical endurance, and psychological resilience in extreme environments [4] - The training also serves as a comprehensive assessment of astronauts, focusing on fostering their autonomy and psychological resilience through reduced support interventions [4] Group 3: Innovations in Training Methods - The cave training featured over ten subjects, including environmental monitoring and team psychological behavior training, while also conducting seven scientific studies on human interaction with extreme environments [3] - The training model was efficient, with astronauts completing cave and jungle training in a month, optimizing time and human resources [3] - New training methods and technologies have been developed, including mixed reality training devices and psychological endurance training systems, to enhance astronauts' capabilities [6][7]

Core Viewpoint - The establishment of the Jiangsu Undersea Communication and Sensing Key Laboratory aims to develop the "Undersea Information Highway" and explore intelligent observation networks, addressing the growing demand for data transmission and oceanic monitoring [1][2]. Group 1: Undersea Communication Development - Global data traffic is increasing exponentially, with over 95% of data transmitted via undersea cables, leading to a capacity crisis in marine communication [2]. - The laboratory is advancing the development of Spatial Division Multiplexing (SDM) technology, which enhances data transmission capacity by creating multiple channels within a single fiber [2]. - The laboratory's goal is to increase transmission rates by 1 to 4 times and system capacity by 2 to 10 times through innovative technology [3]. Group 2: Intelligent Observation Network - The laboratory aims to create a comprehensive sensing system for both shallow and deep seas, enhancing marine exploration and monitoring capabilities [4]. - The undersea sensing system integrates communication cables with sensors, allowing for real-time monitoring of oceanic conditions [5]. - The laboratory plans to develop a collaborative observation system that provides critical data for climate change monitoring and disaster prediction [5]. Group 3: Data Processing and Analysis - The undersea sensing system generates vast amounts of data, comparable to the information in a medium-sized library, necessitating advanced data processing techniques [6]. - The laboratory employs edge computing to enhance data quality through cleaning, formatting, and preliminary analysis, improving efficiency by 40% [6]. - The collaboration with China Ocean University focuses on developing intelligent algorithms for rapid processing of marine data, supporting timely decision-making for environmental monitoring and resource management [6]. Group 4: Future Goals and Innovation - The laboratory aims to build a leading academic platform in deep-sea technology and intelligent equipment innovation, integrating technological and industrial advancements [7]. - Over the next three years, the laboratory plans to establish high-level talent teams and achieve breakthroughs in key technologies, contributing to China's competitiveness in marine communication and sensing [7].

Group 1: Green Development as a National Strategy - Green development is highlighted as a distinctive feature of Chinese modernization, emphasizing the concept that "lucid waters and lush mountains are invaluable assets" [1] - The commitment to carbon peak and carbon neutrality is positioned as a global consensus, with green low-carbon development becoming a core area of international competition [1] - The elevation of green development to a national strategy reflects China's responsibility as a major power and is crucial for seizing future strategic development opportunities [1] Group 2: Achievements and Challenges in Green Transition - During the 14th Five-Year Plan period, China achieved historic milestones in green low-carbon transformation, including the establishment of the world's largest carbon trading market and a clean electricity supply system [2] - Water consumption per unit of GDP has decreased to below 50 cubic meters, and forest coverage has increased to over 25%, contributing to a quarter of the world's new greening area [2] - Despite these achievements, challenges remain, such as a high proportion of traditional industries and a coal-dominated energy structure, necessitating deeper pollution control in key areas [2] Group 3: Advancements in Clean Energy Technology - The 20th Central Committee emphasizes accelerating the construction of a new energy system and advancing carbon peak goals, guiding the development of clean energy technologies [3] - Significant advancements have been made in wind and solar energy, with wind turbine capacity exceeding 16 megawatts and solar cell efficiency records being repeatedly broken [3] - Future investments in clean energy should focus on building clean energy bases and ensuring that most new electricity demand is met by clean energy generation by the end of the 15th Five-Year Plan [3] Group 4: Circular Economy and Resource Utilization - Circular economy is identified as a key approach to transforming development methods and addressing resource constraints [4] - Technological advancements in clean production and resource recycling are expected to enhance the potential of traditional high-energy-consuming industries [4] - By 2024, the recycling volume of major resources in China is projected to reach approximately 401 million tons, with expectations of reaching around 4.5 billion tons by 2030 [4] Group 5: Digital Governance for Green Development - The 20th Central Committee stresses the importance of advancing digital governance, integrating technologies like AI and big data with green development [5] - China has established the largest ecological monitoring network globally, utilizing satellite and drone technologies for real-time pollution monitoring [5] - The national carbon trading market has surpassed a cumulative settlement amount of over 100 billion yuan, serving as a market-driven tool for emission reduction [5] Group 6: Collaboration in Innovation for Green Development - A systematic approach to supporting green development through technology is necessary, emphasizing the collaboration between policy, enterprises, and research institutions [7] - By the end of 2025, over 2.5 million enterprises related to the green economy are expected to exist in China, highlighting the need for collaboration in key technology breakthroughs [7] - Policies should incentivize investment in green technology and establish collaborative mechanisms across regions to foster innovation in green technology [8]

Core Viewpoint - The establishment of the Jiangsu Undersea Communication and Sensing Key Laboratory aims to develop an undersea information highway and explore intelligent observation networks, addressing the growing demand for data transmission and ocean monitoring [1][2]. Group 1: Undersea Communication Development - Global data traffic is increasing exponentially, with over 95% of data transmitted via undersea cables, leading to a capacity crisis in marine communication [2]. - The laboratory is advancing the development of Space Division Multiplexing (SDM) technology, which enhances data transmission capacity by creating multiple channels within a single fiber [2]. - The laboratory's goal is to increase transmission rates by 1 to 4 times and system capacity by 2 to 10 times through technological innovations [3]. Group 2: Intelligent Observation Network - The laboratory aims to create a comprehensive sensing system for both shallow and deep seas, enhancing marine exploration and monitoring capabilities [4]. - The undersea sensing technology integrates communication cables with sensors, allowing for real-time monitoring of ocean conditions [5]. - The laboratory plans to develop a collaborative observation system that provides critical data for climate change monitoring and disaster early warning [5][6]. Group 3: Data Processing and Analysis - The undersea sensing system generates vast amounts of data, comparable to the information in a medium-sized library, which requires effective processing to be useful [6]. - The laboratory employs edge computing to enhance data quality through cleaning, formatting, and preliminary analysis, improving efficiency by 40% [6]. - Advanced algorithms developed by China Ocean University support the rapid processing of marine data, facilitating timely decision-making for environmental monitoring and resource management [6]. Group 4: Future Goals and Innovation - The laboratory aims to build a leading academic platform in deep-sea technology and intelligent equipment innovation, focusing on integrating technological and industrial advancements [7]. - Over the next three years, the laboratory plans to establish high-level talent teams and achieve breakthroughs in key technologies, contributing to China's competitiveness in marine communication and sensing [7].

Core Insights - The event held on the 5th in Chongming showcased the latest research achievements in edible and medicinal fungi, with over 50 experts and representatives discussing industry development paths [1] - A series of cooperation intentions were established, including the unveiling of the National Edible Fungi Engineering Technology Research Center Chongming Station, focusing on technology research and results transformation [1] - Eight units presented quality projects covering various aspects such as technology research, variety innovation, model innovation, and brand operation [1] Industry Development - The Chongming District has identified the edible and medicinal fungi industry as a key development area, emphasizing agricultural technology innovation and establishing a solid foundation in variety cultivation and industrial chain development [2] - Five key projects, including the production base for water deer antler mushrooms and a substrate factory for double-capped mushrooms, are currently under construction [2] - The edible fungi industry is expected to significantly contribute to farmers' income and rural revitalization, with a focus on collaborative innovation and resource aggregation in the Yangtze River Delta region [2] Market Potential - By 2025, the total production of edible mushrooms in Chongming is projected to exceed 200 tons, with a total output value surpassing 10 million yuan, featuring prominent varieties such as Ganoderma lucidum, morel mushrooms, and large cap mushrooms [1]

Core Insights - The research team at Jiangnan University has developed a biosensor that combines nano-fluorescent probes with microfluidic droplet technology for the high-sensitivity detection of circulating tumor cells (CTCs) in whole blood [1][2] - CTCs are critical in cancer metastasis and are present in very low quantities, making their detection challenging [1] - The new droplet sensor shows a significant improvement in detection sensitivity, achieving stable detection down to 5 CTCs/mL [2] Group 1 - The biosensor can specifically identify CTCs and has been validated in clinical samples from colorectal cancer, cervical cancer, and liver cancer [2] - The research aims to provide reliable technological means for early cancer warning, dynamic efficacy assessment, and precise postoperative treatment [2] - The potential for industrial application of this technology is being actively pursued [2]

1月3日，记者从中国农业科学院棉花研究所获悉，该所研究员李付广、杨召恩团队绘制了陆地棉进化路 线图，揭示了染色体大片段变异调控种群遗传多样性、环境适应性的遗传机制，破解了纤维品质性状形 成的遗传架构，开辟了棉花优异种质创制的新路径。相关成果发表在国际学术期刊《自然·遗传学》 上。 该研究揭示了陆地棉泛基因组中广泛存在与抗病密切相关的结构变异。其中，通过对抗病免疫受体编码 基因NLR家族的分析，鉴定出了抗黄萎病新位点，揭示了NLR基因家族演化规律。同时，标记鉴定出了 69个与纤维品质相关的位点，其中62个为以前未检测到的新位点，还发现了调控纤维强度与种子大小的 多效基因等。 该研究还系统绘制了陆地棉中127个大尺度倒位的全基因组分布图谱，揭示其在抗虫性与纤维色泽等重 要性状中的关键作用。比如在A06染色体上，一个3.9Mb的倒位显著提升叶片表皮毛密度，并与抗虫性 相关；在A07染色体，Lc1位点所决定的棕色纤维表型由两种不同的倒位单倍型控制。上述功能倒位均 与区域内数百个基因紧密连锁，因此，在选择高抗虫性或理想纤维色泽时，可能会在无意中引入大量非 目标性状的基因，即"连锁累赘"。这一发现揭示了传统育种中性状改良 ...