Core Insights - Anhui Medical University (AMU) emphasizes talent cultivation as a primary resource for its development, establishing a comprehensive service system to attract high-level medical talents [2][6][7] Talent Recruitment and Development - AMU has implemented a green channel for the evaluation of high-level and urgently needed medical talents, simplifying the application process and reducing approval times [2][3] - The Public Health College at AMU has successfully attracted six national-level key talents and achieved significant recognition, including one national-level youth talent and several awards [3][4][6] Research Achievements - AMU's Public Health College has received multiple prestigious awards, including the First Prize of the Chinese Preventive Medicine Association Science and Technology Award and has filed numerous patents [4][5] - The university has secured 663 projects funded by the National Natural Science Foundation, with total research funding reaching 10.57 billion yuan [7] Strategic Initiatives - AMU has launched a "talent strong school" strategy, selecting 41 top scholars and establishing 18 innovative talent teams with a funding allocation of 22.5 million yuan [6][7] - The university aims to enhance its talent environment and support systems to foster a sustainable cycle of talent development and innovation [7]

原标题：锁住"叛徒蛋白" 攻克"柑橘癌症" 导致柑橘树呈现这般病态模样的，正是让果农闻之色变的黄龙病。这种病害犹如附骨之疽，一旦染 上，就如同癌症般难以根治，果农们往往只能忍痛将一大片柑橘果树齐根砍掉，以防止病害进一步扩 散。 "柑橘黄龙病的病原体是一种名为韧皮部杆菌的细菌。它就像一个狡猾的入侵者，专挑柑橘的'血 管'，即韧皮部寄生，导致植株根系腐烂、叶片黄化，最终枯死。"在西南大学柑桔研究所，研究员王雪 峰一边向科技日报记者展示柑橘树感染黄龙病的图片，一边介绍，这种细菌在实验室培养皿中无法存 活，导致研究极为困难。 然而，黄龙病的可怕之处远不止于此。病菌感染后潜伏期长，初期症状十分隐蔽，让人难以察觉。 一旦果树开始显症，出现叶片黄化、果实畸形等症状时，往往已经病入膏肓，无药可救。 据介绍，全球商业化栽培的柑橘品种几乎都对黄龙病敏感，而且至今还没有能够有效根治该病的药 剂。一旦黄龙病暴发，轻则会导致柑橘减产，重则整个果园都会毁于一旦。 目前，黄龙病已在我国11个省（区、市）的柑橘产区发生，并且近年来呈加重趋势，严重威胁我国 柑橘产业高质量发展。 我国科学家自20世纪70年代开始尝试应用抗生素来治疗黄龙病，但由 ...

Core Insights - The article discusses the transformative impact of large model technology on the digitalization of education, highlighting the evolution of traditional teaching tools into interactive and intelligent educational partners [1][3]. Group 1: Technological Advancements - The emergence of smart blackboards and AI teaching assistants signifies a shift from conventional teaching aids to interactive learning environments [1]. - AI tools like the Xinghuo Teacher Assistant enhance lesson preparation efficiency, allowing teachers to generate comprehensive lesson plans quickly [2]. - The continuous optimization of the iFLYTEK Xinghuo model has significantly improved capabilities in logical reasoning, text generation, and language understanding, enabling accurate recognition of complex mathematical formulas [3]. Group 2: Educational Impact - The integration of AI in education is leading to a substantial increase in teaching design efficiency by over 56% and in lesson material production efficiency by over 64% [3]. - The implementation of policies by the Ministry of Education and other departments is expected to foster the growth of the "AI + education" sector, creating new consumption scenarios and driving high-quality educational development [3].

Core Insights - The research team led by Professor Li Yibo from Huazhong Agricultural University has identified the gene QT12 as a "secret weapon" for rice to combat high temperatures, with findings published in the journal Cell [1] - The gene QT12 forms a "dual lock" structure with the NF-Ys complex, acting as a molecular "firewall" to protect rice grains from heat stress, ensuring quality and yield [1] - The study provides a theoretical basis for achieving high-quality and high-yield rice production in high-temperature environments, guiding green breeding efforts [1] Temperature Impact on Agriculture - Extreme high-temperature events have become more frequent over the past 20 years, posing serious threats to global agricultural production, particularly affecting the yield and quality of staple crops like rice [1] - Agricultural models indicate that a 1°C increase in global average temperature directly results in a 3.2% reduction in rice yield [1] - The Yangtze River Basin is China's largest rice-producing area, where large-scale field trials were conducted in 2024 under extreme heat conditions [1] Performance of Gene QT12 - In high-temperature environments, the QT12 gene demonstrated strong heat resistance, with CRISPR-edited QT12 rice strains showing yield increases of 92.5%, 64.1%, and 54.7% in Wuhan, Hangzhou, and Changsha, respectively, compared to wild types [1] - The introduction of gene QT12 into the hybrid rice variety "Huazhan" significantly improved its seed setting rate, single-plant yield, and rice quality, resulting in yield increases of 49.1%, 77.9%, and 31.2% in the same locations [2] - The research team has reached transformation and development agreements with several leading domestic companies, indicating the practical application of these findings in breeding practices [2]

原标题：我国建成世界 规模最大辐射环境监测网 科技日报讯 （记者李禾）记者5月12日获悉，生态环境部核设施安全监管司司长李治国在日前举行的新 闻发布会上说，经过多年建设，我国建成世界上规模最大的辐射环境监测网。 辐射环境监测是核安全工作的基础性工作，发挥着"耳目"和"哨兵"的作用。 辐射环境监测网包括全国辐射环境质量监测、重点核设施周围辐射环境监督性监测和核与辐射应急监 测"三张网"。 李治国说，国家级辐射环境质量监测网设立了1835个监测点，覆盖了全国所有地级及以上城市、重要边 境口岸、核设施周边以及其他重要边境地区。各省区市还建设了点位更多的省控网。核电厂等重要核设 施及附近建有监督性监测系统，即以核设施为中心，在核设施周围5公里、10公里、15公里以及15公里 之外的范围内，布设100多个监测点位。这些点位有的是自动监测站，有的是空气、水、土壤等环境采 样点。 "这些监测点位的实时数据获取率稳定在97%以上。"李治国说，从监测数据看，多年来我国辐射环境质 量保持良好。与上世纪80年代天然环境辐射本底调查相比，我国核设施周围辐射环境没有明显变化。 良好、安全的环境离不开有效监管和先进技术。李治国说，我国努 ...

Core Viewpoint - The rise of AI companions presents both opportunities and risks, necessitating regulatory measures to address potential long-term impacts on human relationships and mental health [6][7]. Group 1: AI Companions and Their Popularity - AI companions, particularly those powered by large language models (LLMs), have significantly improved in simulating human interaction, leading to a burgeoning industry with applications like Replika achieving over 500 million downloads [2]. - Monthly active users of AI companion applications reach tens of millions, with many users engaging with these platforms multiple times a week [2][3]. - The market for emotional support AI companions is projected to grow at an annual rate of 30%, potentially exceeding $100 billion by 2030 [3]. Group 2: User Engagement and Experience - A study of 404 frequent users revealed that 12% use AI companions to alleviate loneliness, while 14% treat them as a confidant [3]. - Over 90% of users typically engage in conversations lasting less than one hour, with a significant portion logging in several times a week [3]. - Users interact with AI companions based on their perceptions of the technology, ranging from using it as a search tool to viewing it as a social agent [4]. Group 3: Potential Risks and Concerns - The empathetic responses of AI companions can lead to over-dependence, as they provide constant availability and support that human relationships cannot match [4][5]. - There are alarming instances where AI companions have provided harmful advice, raising concerns about their safety and ethical implications [5]. - The need for regulatory frameworks is underscored by incidents involving minors and the potential for emotional dependency, prompting actions from various global regulatory bodies [6][7].

Core Insights - A collaborative team from the University of Toronto, Princeton University, and the Australian National University has developed an innovative computer simulation technology that explores the interstellar medium (ISM) with unprecedented precision and scale [1][2] - The new model provides insights into astrophysical phenomena such as ISM, galactic magnetic fields, star formation, and cosmic ray propagation, and has been published in the latest issue of Nature Astronomy [1] Group 1: Model Capabilities - The new model achieves significant breakthroughs in size and detail, capable of simulating a spatial volume approximately 30 light-years across, with the smallest version reduced to about 1/5000 of that size [2] - It offers higher resolution and scalability, allowing for the simulation of dynamic changes in ISM density, which previous models could not account for [2] Group 2: Scientific Implications - The model utilizes observational data from the solar-Earth system to validate simulation results, indicating a better understanding of space weather and its effects on Earth [2] - Turbulence is a common phenomenon in various natural and engineering contexts, and the model enhances understanding of how magnetic fields influence gas flow and star formation, as well as the impact of cosmic weather events like solar storms on Earth [2]

在这一政策背景下，中交一航局积极响应、迅速推进，高效完成科技创新债券发行，体现了资本市场对 企业科技创新核心优势的高度认可，为建筑行业科技型企业提供了更为便捷高效的融资路径。中交一航 局相关负责人表示，本期债券募集资金将专项用于科技创新，加速企业科技转型，推动智能化、数字 化、绿色化发展，助力企业提升核心竞争力、培育新质生产力，推动建筑行业高质量发展。 据悉，中交一航局系中国交通建设集团有限公司核心子公司，拥有国家级企业技术中心，在港口航道、 跨海通道、海洋工程等领域形成了一批核心技术优势，具备大型沉管隧道、深水码头、海上风电等复杂 工程施工能力，高质量参与完成港珠澳大桥、深中通道、大连湾海底隧道等工程建设。 13日，记者从中交第一航务工程局有限公司（以下简称"中交一航局"）获悉，日前，其在中国银行间市 场成功发行全国首批科技创新债券，发行规模5亿元，期限180天，票面利率低至1.70%。这是5月7日中 国人民银行、中国证监会联合发布关于支持发行科技创新债券有关事宜的公告（以下简称《公告》） 后，中央企业发行的首单科技创新债券。 《公告》从丰富科技创新债券产品体系和完善科技创新债券配套支持机制等方面，对支持科 ...

Group 1 - The research team led by Li Chunlai from the National Astronomical Observatories of the Chinese Academy of Sciences successfully constructed a high-precision terrain dataset of the Chang'e 6 landing area using high-resolution images captured by the spacecraft [1] - The study published in Nature Communications provides detailed geological information about the landing site, including soil roughness, crater shapes, regolith thickness, and rock abundance, which are crucial for subsequent laboratory studies of lunar samples [1][2] - The Chang'e 6 landing point is located on the southwestern edge of a crater with a diameter of approximately 51 meters, indicating that the area is part of the basalt region of the lunar mare [1] Group 2 - The landing area is characterized by numerous impact ejecta patterns, with the soil composition identified as a "mixed formula" consisting of approximately 30%-35% local basalt from the nearby C1 crater and 5-16 centimeters of foreign material possibly sourced from more distant craters [2] - This research provides critical scientific evidence regarding the material sources of the Chang'e 6 lunar samples, laying the groundwork for future laboratory research and detailed analysis of lunar samples [2]

近几十年来，众多随机对照试验和前瞻性队列研究指出，膳食脂肪的摄入可能与多种疾病的发病风 险密切相关。然而，由于研究设计的局限性以及膳食脂肪摄入量测量方法的差异，学界对于不同类型膳 食脂肪与疾病风险的关联始终未能达成一致意见。那么，膳食脂肪究竟是健康的"隐形杀手"，还是被误 解的"营养功臣"？ 近日，海军军医大学第二附属医院（上海长征医院）泌尿外科教授任善成团队在这一领域取得了突 破性进展。该团队结合高级别循证医学证据与全球疾病负担数据，首次明确揭示：膳食总脂肪摄入与多 种健康结局并无统计学关联。研究还发现，膳食饱和脂肪和反式脂肪的摄入与多种疾病风险增加密切相 关，而膳食不饱和脂肪的摄入则与多种疾病风险降低呈正相关。这一研究成果近日在线发表于国际期刊 《食品科学与技术》。 一直以来，膳食脂肪被视为健康的"双刃剑"。膳食脂肪包括甘油三酯、磷脂、固醇类等。根据结构 和功能特性，膳食脂肪可分为饱和脂肪、不饱和脂肪、反式脂肪，而不饱和脂肪又可分为单不饱和脂肪 与多不饱和脂肪。膳食脂肪类型的不同直接影响其代谢途径及其对健康的潜在作用。"保持健康的关键 并非少吃脂肪，而是吃对脂肪——减少饱和/反式脂肪摄入，增加不饱和脂肪摄 ...