Core Insights - Yunnan Baiyao's smart factory has been recognized as the first certified "Lighthouse Factory" in the global traditional Chinese medicine health product sector, marking a significant achievement in digital manufacturing and intelligent management within the toothpaste industry [1][2] - The certification is considered the "Oscar of manufacturing," highlighting the factory's innovative integration of traditional agriculture with modern technology to create a smart manufacturing system that is transparent, traceable, and perceptible [1] Group 1 - The smart factory has deployed over 7,500 sensors to establish a comprehensive digital management system covering the entire production process [1] - The factory has broken down production processes into 56 minimal functional units, enabling "one-click switching" to address efficiency bottlenecks in multi-category production [1] - Quality control innovations include a "data-driven full-link quality traceability model," which has reduced product release audit times by 55% and decreased active ingredient detection time from 710 minutes to 2 minutes, achieving a 355-fold efficiency improvement [1] Group 2 - The company extends its intelligent practices across the entire industry chain, creating a digital closed-loop from agriculture to industry to market [2] - In the upstream herbal medicine segment, satellite remote sensing and AI yield forecasting are used to establish a digital management system for key quality characteristics of suppliers, enabling rapid responses to large orders and small batch personalized demands [2] - Consumers can scan codes to trace raw material sources, production processes, and testing results, forming a positive feedback loop of market response, R&D optimization, and production iteration [2] - Yunnan Baiyao plans to replicate its "smart manufacturing" model across other product lines, including traditional Chinese medicine health products and wellness foods, promoting technology experiences such as multi-category production switching and full-link quality traceability to support industry upgrades [2]

Core Viewpoint - The article discusses the increased likelihood of motion sickness in electric vehicle (EV) passengers compared to traditional fuel vehicles, attributing this to the differences in vehicle dynamics and sensory feedback mechanisms [1][4]. Group 1: Causes of Motion Sickness in Electric Vehicles - Motion sickness, or motion sickness, occurs due to conflicting signals between the vestibular system and visual perception, leading to symptoms like dizziness and nausea [1]. - The instantaneous high torque characteristic of electric motors results in rapid changes in vehicle motion, which can overwhelm the vestibular system before the visual system can adjust, exacerbating discomfort [2][3]. - The absence of familiar engine noise in electric vehicles removes a key sensory cue that helps passengers gauge vehicle behavior, further complicating the coordination of sensory information [2][3]. Group 2: Individual Differences in Motion Sickness - Individual susceptibility to motion sickness varies significantly, influenced by factors such as vestibular system sensitivity, age, and physical condition [5]. - Children and the elderly are particularly vulnerable due to the developmental stage of their vestibular systems and the natural decline in function, respectively [5]. Group 3: Mitigation Strategies - Recommendations for reducing motion sickness include acupuncture to lower vestibular sensitivity, medication for prevention, and gradual acclimatization to electric vehicle dynamics [6]. - Technological advancements in electric vehicles could help minimize sensory conflicts by optimizing driving algorithms and implementing adaptive control systems to adjust vehicle behavior based on real-time data [6][7]. - Ongoing research aims to predict and mitigate motion sickness in electric vehicle passengers by analyzing physiological responses and adjusting vehicle systems accordingly [7].

英国利物浦大学科学家领衔的国际团队研制出一种名为Novltex的新型抗生素。测试表明，该抗生素对 多种致命超级细菌展现出持续抑制性，标志着对抗抗生素耐药性的努力取得重要进展。相关成果发表于 新一期《药物化学杂志》。 抗生素耐药性被列为人类面临的十大健康威胁之一，每年导致近500万人死亡。世界卫生组织发布的一 份急需新型抗生素的"优先病原体"名单，其中包括耐甲氧西林金黄色葡萄球菌和粪肠球菌。Novltex对 这两种细菌均表现出强效且快速的杀灭作用。 与传统抗生素不同，Novltex以脂质Ⅱ为靶点。脂质Ⅱ是细菌细胞壁的重要组成部分，不易发生突变。 这意味着Novltex可提供持久的耐药保护，有望应对现代医学中的一大难题。 团队此前曾开发出泰斯巴汀的简化合成版本。泰斯巴汀是从土壤细菌中分离出的一种环肽类抗生素，对 多种耐药菌具有显著活性。在此基础上，他们构建并测试了一个合成泰斯巴汀库，优化了多项关键性 能。 在最新研究中，受泰斯巴汀和另一种抗生素克洛维菌素启发，团队开发出新型抗生素Novltex。Novltex 避免了昂贵原料的使用，可用于构建大量候选分子以供优化，并靶向不易突变的脂质Ⅱ。这种高效、耐 用与可量产特 ...

Core Viewpoint - The emergence of AI-generated research outputs is sparking intense debate in academia regarding "idea plagiarism," where AI-generated papers may appropriate others' research methods or core ideas without proper attribution [1][2]. Group 1: Incidents of "Idea Plagiarism" - A case involving a tool named "The AI Scientist" developed by Sakana AI has been highlighted, where a researcher found that an AI-generated manuscript closely resembled his own research methods without citation [2]. - The "whistleblower team" reported that multiple AI-generated manuscripts exhibit a pattern of appropriating others' ideas without direct text copying, raising concerns about the originality of these outputs [2][3]. - An evaluation of AI-generated research proposals revealed that 24% of the works achieved a similarity rating of 4-5, indicating a high degree of similarity to existing research [3]. Group 2: Definitions and Disagreements on Plagiarism - The development team of "The AI Scientist" denied the plagiarism allegations, arguing that the AI-generated manuscripts differ in hypotheses and application areas, and that citation issues are common among human researchers [4]. - There is a divergence in academic opinion regarding what constitutes plagiarism, with some experts suggesting that the similarity levels do not meet the threshold for plagiarism [4][5]. - The definition of plagiarism is further complicated by differing views on whether intent should be a factor, with some experts arguing that AI's lack of subjective awareness complicates the issue [5]. Group 3: Challenges to the Academic System - The rise of AI-generated research poses significant challenges to the existing academic framework, as the volume of papers increases, making it difficult for researchers to verify the novelty of their ideas [6][7]. - Current methods for detecting "idea plagiarism" are inadequate, with existing tools failing to identify the sources of AI-generated papers effectively [7]. - The process used by "The AI Scientist" to verify originality is criticized for being overly simplistic, as it may overlook key literature and not match the judgment of domain experts [7]. Group 4: Need for Clear Standards - There is a consensus in academia on the necessity to establish clear guidelines for the use of AI research tools [8]. - The development team of "The AI Scientist" acknowledges the quality issues in AI-generated papers and suggests that these tools should primarily be used for idea generation, with researchers responsible for verifying the reliability of the outputs [8]. - The academic community faces the challenge of balancing the potential benefits of AI in research with the need for academic integrity [8].

Core Insights - The research team from the University of Tokyo has achieved "quantum squeezing" of nanoscale particles, reducing their motion uncertainty below the quantum mechanical zero-point fluctuations, which opens new pathways for fundamental physics research and advances technologies like high-precision sensing, autonomous driving, and navigation without GPS signals [1][2]. Group 1 - The macroscopic physical world follows classical mechanics, while the microscopic world adheres to quantum mechanics, characterized by inherent uncertainty [1]. - Quantum squeezing refers to generating quantum states with uncertainty smaller than zero-point fluctuations, crucial for understanding natural phenomena and developing next-generation technologies influenced by quantum effects [1][2]. - The research team utilized glass-made nanoscale particles suspended in a vacuum and cooled to their lowest energy state to minimize uncertainty, successfully demonstrating quantum squeezing by achieving a narrower speed distribution than the lowest energy state [2]. Group 2 - The achievement of quantum squeezing was the result of overcoming numerous technical challenges over several years, including additional fluctuations from particle suspension and minor disturbances in the experimental environment [2]. - The suspended nanoscale particle system is highly sensitive to environmental changes, making it an ideal platform for studying the transition between quantum and classical mechanics, and laying the groundwork for the development of new quantum devices [2].

高邮市委书记田醒民介绍，高邮抢抓发展新机遇，将省级高新区作为低空经济产业发展"主战场"。此 外，该市正在建设中的低空经济科技产业园，集研发制造、运营服务、人才引培与应用示范于一体，将 全力推动低空经济产业蓄势起航。"打造低空经济新高地，是扬州把握新机遇、培育新动能的战略抉 择。"扬州市委常委、宣传部部长张长金表示，扬州市低空经济产业学院的成立，将为扬州抢占新赛 道、发展新质生产力注入强劲动能。 （文章来源：科技日报） 9月20日，扬州市低空经济产业学院揭牌仪式暨产业发展研讨会在江苏省扬州市高邮市举行。中国工程 院院士、武汉大学教授张祖勋，以及中国工程院院士，中南大学校长、教授李建成等专家学者及相关领 域嘉宾出席活动。 "成立低空经济产业学院是学校服务国家产业战略、深化产教科城融合发展的重要举措。"扬州市职业大 学党委书记马顺圣表示。记者了解到，近年来，扬州市紧扣"制造强市"目标，立足航空材料、线缆等产 业基础，重点布局工业无人机、eVTOL核心部件及通航整机制造等产业集群。同时，该市以智慧物 流、应急救援等场景开放为牵引，加速科研成果转化和低空经济业态培育。 ...

Core Viewpoint - The establishment of Hubei Big Data Academy aims to create a comprehensive digital talent cultivation matrix, setting a "Hubei model" for digital talent development [1] Group 1: Talent Development Strategy - The academy focuses on a four-dimensional approach: internal training, external training, certification empowerment, and ecological public welfare [1] - An internal training series includes the "Smart Lecture Hall," which collaborates with Hubei Big Data Group to foster a continuous learning environment for employees [1] - The external training series offers customized courses for government departments, state-owned enterprises, and investment platforms, covering policy regulations, technical training, and innovation services [1] Group 2: Certification and Public Welfare - The academy aims to facilitate career advancement by localizing national occupational standards and providing a pathway for job certification and skills enhancement [1] - Monthly themed training events will be held in collaboration with ecological partners, focusing on data elements, data security, and application scenarios to promote the data industry ecosystem in Hubei [1] Group 3: Professional Course Empowerment - The academy collaborates with major tech companies like Alibaba Cloud, Baidu, Douyin, Huawei, and iFlytek to build a digital ecosystem and develop systematic course offerings in artificial intelligence and data elements [2] - A "industry demand + practical ability + vocational certification" integration system is being established to ensure a closed loop from education to employment [2] - A professional faculty team is being formed, combining academic, practical, and policy expertise to enhance the quality of education [2]

Core Insights - Douyin has implemented AI large model technology for rumor governance, resulting in a 67% reduction in rumor exposure over the past quarter [1][2] - The AI model actively reviews trending information, analyzes content, and determines its authenticity, significantly reducing the processing time from days to hours [1] - The "AI Douyin Truth-Seeking" feature has been upgraded to provide users with links to comprehensive information on potentially misleading content [1][2] Group 1: AI Implementation and Effectiveness - Douyin's AI model can identify the credibility of information sources, including authoritative media and historical rumor databases [1] - The accuracy rate of the AI model in identifying rumors is currently at 85% and is expected to improve further [1] - The "AI Douyin Truth-Seeking" feature is estimated to achieve nearly 100 million exposures per day [2] Group 2: Rumor Management Strategies - Douyin has established a rumor governance ecosystem through various initiatives, including hot topic operations and collaboration with media [2] - The rumor operation team actively verifies the authenticity of information related to rumors, collaborating with local authorities to address specific cases [2] - Despite advancements, challenges remain in completely eliminating rumors due to subjective fabrication and the dynamic nature of information [3]

Core Insights - The research team led by researcher Kuang Guangli from the Hefei Institute of Physical Science has made significant progress in developing the core system of the "Strong Light Magnetic Experimental Device" [1] - The team successfully tested and validated the microwave power source system, achieving a stable output of 32 megawatts for 12 hours, marking a critical step towards the overall assembly of the device [1][2] - The "Strong Light Magnetic Experimental Device" is the first high-end research platform in China that integrates free electron lasers, strong magnetic fields, and ultra-low temperature environments, aimed at exploring new electronic materials, particularly low-power materials [1] Technical Achievements - The microwave power source system, described as the "heart" of the infrared free electron laser system, features a complex structure with key components including high-power traveling wave tubes, high-voltage pulse modulators, high-power waveguides, and solid-state amplifiers [2] - The system operates in deep collaboration with vacuum systems, water cooling systems, machine protection systems, and central control EPICS systems to provide a reliable power source for electron beam acceleration [2] - During the development process, the research team overcame several technical challenges, including electromagnetic compatibility, parameter matching, and high-voltage arc protection, culminating in a successful 12-hour full-power test on September 10 [2]

一场9月19日在西藏自治区日喀则市江孜县热龙乡燃放的烟花秀，引发了广泛讨论和关注。其中最核心 的担忧是，这场烟花表演到底会对当地高原环境造成什么样的伤害？一旦造成破坏，环境能修复到原来 模样吗？人们还提出质疑，烟花秀审批程序是否合法合规？针对这些疑问，科技日报记者对相关专家进 行了采访。 更令人担忧的是程序合规性问题。依据相关法律法规，可能对环境与生态造成显著影响的项目，必须依 法开展环境影响评价。然而，该项目在启动前未进行法定环评，审批程序存在严重瑕疵。"没有环评就 是违规。"张惠芳说。 张惠芳表示，任何在高敏感区域开展的活动，必须严格遵守生态环境保护法律法规，坚守生态红线，以 科学评估为前提、以审慎决策为原则，绝不能以"环保营销"之名行生态破坏之实。 西藏是重要的国家生态安全屏障和国家生态文明高地，生态战略地位极为重要。"青藏高原是中华水 塔，世界生物多样性中心之一，生态环境非常脆弱，一旦被破坏极难恢复，需要几十年甚至上百 年。"植物学者刘公社告诉记者。 热龙乡属于典型的高山草甸生态系统，海拔极高、生态环境极端脆弱。"此种生态环境一旦遭到破坏， 几乎不可能恢复至原生状态。"张惠芳介绍，高寒草甸植被生长缓慢 ...