"这份使命，承载着代代相传的赤子之心。"中国科学院国家空间科学中心主任王赤院士的话语，将 人们的思绪拉回20世纪60年代。 清晨的寒意还笼罩在雁栖湖畔的山脚下。1月27日一大早，在中国科学院与"两弹一星"纪念馆前， 一群人炽热的目光已投向比远山更辽远的星空——这天，中国科学院大学星际航行学院在此正式揭牌成 立。 如同一场跨越时空的对话。这片土地，曾见证钱学森等先辈在困顿中起步，将"两弹一星"的梦想锻 造成现实；同样在这里，一个关于星辰大海的更遥远的梦想正式启航。 仪式结束，人群散去。纪念馆静立依旧，一个新的起点已然锚定。仰望星空，行则将至。从这里出 发的，将是新一批扎根大地、敢闯未知的年轻人。他们的征途，不仅关乎技术突破，更承载着一个国家 探索浩瀚宇宙的梦想——让文明的灯火，照亮更遥远的星空。 彼时，国家百业待兴，中国科学院在钱学森、赵九章等科学家的倡议下，召开首次"星际航行座谈 会"，继而成立"星际航行委员会"。当前，面对从"近地轨道"迈向"深空探测"的新征程，人才培养成为 最迫切的课题。 作者：胡喆 星际航行学院首任院长朱俊强院士将学院定位为"三大高地"：基础研究高地、创新人才高地、 国际交流高地。这不仅 ...

（来源：法治日报） 转自：法治日报 □ 《法治周末》记者 尹丽 晨起，铺展画纸，勾勒一幅漫画。而后，出门上班，开启一天的工作。 这是 北京大学法学院教授吴志攀坚持了多年的习惯。于他而言，法学与漫画，不是割裂的存在——当法学的 严谨，邂逅漫画的浪漫；当严肃的条文，遇上幽默的图像，便碰撞出了独特的火花。 2025年年底，吴 志攀的两本新书问世。一本名为《图像与正义》，讲述图像时代法律所面临的种种挑战；另一本名曰 《法律就是生活》，用漫画描绘法律职场与社会生活日常。这两本书，无疑是"跨界"法律人两枚生动的 注脚。 在金融法领域深耕数十年，吴志攀著有《商业银行法论》《国际金融法》等经典著作，创刊《金融法 苑》丛书等。谈及当前我国金融法治建设的核心课题，他举"数字化转型及相关法律跟进"为例："支付 宝、微信支付普及，但不是建立在区块链上的，难以做跨境支付；数字人民币依托'账户+区块链'，采 用混合模式，走一条与美元稳定币不同的道路。中美之间数字金融博弈，不是输赢问题，而是谁更能惠 及老百姓。" 而从"知识领土""部门货币""单位信用"等独特研究视角的形成，也能看出吴志攀跨界的科 研能力。他总能从日常现象中捕捉新的学术亮 ...

Core Views - Beijing University Shenzhen Graduate School (PKUSZ) aims to integrate its research and teaching with the resources of the Greater Bay Area, focusing on academic innovation and societal service [2] - The establishment of the School of AI for Science (PKUSAI4S) in 2025 represents a strategic initiative to merge artificial intelligence with fundamental sciences, fostering interdisciplinary research and innovation [3][4] - The School of Intelligent Engineering (PKUSECE) emphasizes the integration of education, academic research, and industry, leveraging the advantages of the Greater Bay Area [7] Recruitment Areas - PKUSZ is recruiting in three core areas: - Integrated Circuit Science and Engineering, focusing on analog circuit design, micro-nano electronic devices, or electronic design automation for tenured or tenure-track assistant professors [8] - Computer Science and Technology, with emphasis on video and audio processing, XR/3D media processing, computer vision, computer graphics, haptic information processing, artificial intelligence, and robotics for tenure-track assistant professors [8] - Communication and Information Systems, concentrating on wireless communication, intelligent communication, the Internet of Things, and RF devices for tenured or tenure-track assistant professors [8] Academic Vision - The vision of PKUSZ is to accelerate scientific discovery and define the future of industries, promoting a collaborative and innovative academic environment [4] - The educational philosophy emphasizes fundamental principles, wisdom-driven approaches, and cross-disciplinary integration to shape the future [5]

Core Viewpoint - The ongoing academic debate surrounding the "Qin Inscription Stone" highlights its profound research value despite having only 37 characters, necessitating interdisciplinary collaboration to fully explore its significance [1][2] Group 1: Research Value and Interdisciplinary Collaboration - Experts emphasize the need to place the study of the "Qin Inscription Stone" within a multi-dimensional framework that includes national governance, ethnic interactions, cultural identity, and the revitalization of cultural relics to achieve breakthroughs in research related to Kunlun culture and Tibetan Plateau archaeology [1] - The integration of various academic disciplines, such as geography, geology, ecology, and resource studies, is essential for a comprehensive understanding of the historical context of "Kunlun medicine gathering" [1][2] Group 2: Methodologies and Technological Integration - Combining geological analysis of the stone's rock type, physics and climatology for weathering studies, and geographical research on the Zhaling Lake terrain can help uncover the preservation mystery of the inscription [2] - Utilizing geographic information technology to analyze water distribution, terrain slope, and snow conditions can aid in reconstructing the route taken by the medicinal gathering team from Xianyang to Zhaling Lake [2] - The study of local medicinal plants and mineral resources will contribute to understanding the specific contents of the gathered medicines [2]

Group 1 - The core viewpoint of the article is that Westlake University is actively recruiting faculty for its Center for Infectious Disease Research (CIDR) to advance research on emerging infectious diseases [2][3] - CIDR focuses on transformative scientific progress in understanding various infectious diseases, including influenza, tuberculosis, hepatitis B, and coronaviruses [2] - The university offers competitive salaries and startup funding to attract outstanding scientists in fields such as pathology, immunology, vaccine research, epidemiology, and drug discovery [3] Group 2 - Applicants are required to have a medical doctorate, PhD, or equivalent degree, along with significant postdoctoral research experience and a strong publication record [2] - The application process includes submitting a cover letter, CV, research statement, and three recommendation letters [4][7] - Applications will be reviewed on a rolling basis until the positions are filled, and inquiries can be directed to the provided email address [5]

Core Viewpoint - The "Lung Care AI Medical Monitoring System" developed by a multidisciplinary team from Anhui Normal University has won the special award at the 19th "Challenge Cup" National College Student Extracurricular Academic Science and Technology Works Competition, marking a historic breakthrough for the university and addressing the healthcare needs of COPD patients [1][2]. Group 1: Project Background and Motivation - The team, led by communication engineering student Yao Jun, established a COPD patient database in collaboration with a local hospital, highlighting the challenges faced by patients who require long-term monitoring and the burdens of traditional medical practices [2]. - Statistics from the National Health Commission indicate that there are nearly 100 million COPD patients in China, with a mortality rate of one person every 10 seconds and a low awareness and testing rate among patients [2]. - The team aimed to create a low-cost, radiation-free home monitoring solution to fill the monitoring gap for patients after hospital discharge, ensuring health protection is not limited by time, space, or economic factors [2][3]. Group 2: Research and Development Process - The project, named "Lung Care," reflects the team's commitment to using technology to make healthcare accessible, aiming to transform traditional medical monitoring into a home-based solution [3]. - The team faced challenges in developing a compact, intelligent, and affordable device, conducting extensive literature reviews and consultations with respiratory specialists to find innovative solutions [4]. - They discovered that non-radiative ultrasound detection could monitor lung structure and physiological parameters, leading to a significant improvement in monitoring accuracy by over 20% compared to traditional methods [4]. Group 3: Technological Innovations - The GSDNet algorithm, developed by Yao Jun, enables AI to identify correlations between lung ultrasound features and disease progression, addressing challenges in dynamic monitoring and early warning systems [5]. - The research has been published in reputable journals and conferences, with four international patents filed, including one that has been granted in the EU [6]. Group 4: Clinical Application and Impact - The team has transitioned from a competition-focused group to a research team, emphasizing the importance of collaboration and practical application of their findings [7]. - The COPD management system provides precise physiological data analysis, creating a health assurance system that enhances the effectiveness of medical services [7]. - Clinical trials in a hospital have shown that the AI monitoring system reduces patient visits, saving time and costs, aligning with the goal of minimizing patient burden [7]. Group 5: Future Aspirations - The team aspires for every COPD patient to afford and utilize their monitoring device, reflecting a commitment to societal responsibility and continuous improvement based on clinical feedback [8].

Core Insights - The study demonstrates that large language models (LLMs) can significantly assist physicians in overcoming technical barriers in medical AI research, with project completion rates increasing from 25% to 87% when using LLMs [11][12] - Despite the benefits, the research highlights potential risks associated with LLMs, including the possibility of dependency and the phenomenon of "hallucination" where AI may generate incorrect information [8][12] Study Overview - The research titled "The effectiveness of large language models in medical AI research for physicians: A randomized controlled trial" was published on November 26, 2025, in Cell Reports Medicine [4] - Conducted by a team from Sun Yat-sen University, the study involved a randomized controlled trial with 64 primary ophthalmologists, assessing the effectiveness of LLMs in an "automated cataract identification" project [6][7] Results - The intervention group using ChatGPT-3.5 had a total project completion rate of 87.5%, compared to 25.0% in the control group, and a non-assisted completion rate of 68.7% versus 3.1% [7] - After a washout period, 41.2% of successful intervention participants were able to complete new projects independently without LLM support [7] - Concerns were raised among participants, with 42.6% worried about mindlessly repeating AI-generated information and 40.4% fearing that AI could foster lazy thinking [7] Conclusion - The study concludes that while LLMs can democratize medical AI research and help physicians navigate technical challenges, the long-term risks associated with their use, such as dependency, require further investigation [8][12]

Core Insights - The conference titled "Cultural Mapping of Famous Mountains and Scenic Spots from the Perspective of Image History" was held in Taizhou, Zhejiang, focusing on the cultural significance of traditional Chinese maps and their interdisciplinary research implications [1][17] - The event gathered over 50 experts from more than 20 universities and research institutions, emphasizing the importance of cross-disciplinary dialogue in understanding historical geography, literature, landscape history, architectural history, and art history [1][4] Group Summaries Opening Ceremony - The opening ceremony featured speeches from key figures including Li Jianjun, Song Xueli, and Luo Zhengming, highlighting the significance of the conference and the collaborative efforts of the organizing institutions [3][4] Academic Contributions - Li Jianjun emphasized that ancient Chinese map culture is not merely geographical but a narrative of civilization and historical memory, advocating for a deeper understanding of how these maps reflect historical logic [4][6] - The conference is part of a series initiated in 2020, showcasing the evolution of the journal "Image History" and its role in promoting interdisciplinary research in material culture [5][6] Thematic Discussions - The conference included five thematic groups focusing on various aspects of map studies, including map literature, image studies, historical geography, landscape history, and architectural history, reflecting the growing interest in interdisciplinary approaches [8][10][12][13][15] - Each group presented specialized reports, exploring topics such as the analysis of historical maps, the relationship between traditional maps and modern representations, and the cultural implications of geographical depictions [10][12][13] Closing Remarks - The closing session highlighted the successful interdisciplinary dialogue established during the conference, with participants agreeing on the importance of continuing research in the field of map culture and its contributions to understanding traditional Chinese culture [15][17]

Core Insights - The application of AI has expanded beyond protein structure prediction to various fields such as chemistry, medicine, and neuroscience, driven by interdisciplinary research and recent awards recognizing such efforts [1][3][4] Group 1: Interdisciplinary Research - The trend of interdisciplinary research is gaining momentum, with many fields continuously intersecting with AI [3] - Scientists emphasize the importance of AI in understanding complex data, particularly in molecular science and biomedicine, where data volume is rapidly increasing [3][4] - Researchers are utilizing domestic chips to build AI computing platforms, competing with international research teams [1][4] Group 2: AI in Molecular Science and Medicine - In molecular science, AI is being used to analyze vast amounts of data, with new research directions emerging, such as virtual cell studies [3][4] - AI applications in medicine include predicting genetic diseases and understanding brain functions through large-scale neural modeling [5][6] Group 3: AI in Robotics and Sensor Technology - Embodied intelligence, a cross-disciplinary area involving AI and robotics, is paving the way for advancements in robot intelligence [6] - Current challenges in sensor design for embodied intelligence include limitations in existing materials and the need for more flexible and cost-effective solutions [6][7] - Future developments may include the integration of olfactory and gustatory sensors to enhance robots' capabilities in domestic environments [7]

Core Viewpoint - The article emphasizes that online public opinion is a complex phenomenon that reflects public attitudes and emotions towards social issues, and it should not be simplistically categorized as crisis management or a branch of communication studies [2][3]. Group 1: Nature and Characteristics of Online Public Opinion - Online public opinion is a manifestation of social discourse that is influenced by various factors, including political, social, economic, psychological, and legal aspects [3][4]. - The complexity of online public opinion requires a multidisciplinary approach for comprehensive understanding, integrating insights from political science, sociology, economics, psychology, communication studies, and law [3][4][18]. Group 2: Formation Mechanisms - The formation of online public opinion is rooted in social structures and psychological mechanisms, with feelings of social inequality and relative deprivation being significant underlying causes [5][7]. - Internet technology accelerates the formation and dissemination of public opinion, providing platforms for expression and reducing psychological barriers to sharing opinions [6][19]. Group 3: Stages of Development - Online public opinion typically progresses through three stages: occurrence, diffusion, and decline, each characterized by specific psychological mechanisms and public engagement [9][10]. - During the occurrence stage, an event triggers initial public interest; in the diffusion stage, information spreads rapidly, leading to diverse opinions; and in the decline stage, public attention shifts away from the issue [9][10]. Group 4: Governance Strategies - Effective management of online public opinion requires collaboration among multiple stakeholders, including government, enterprises, and various institutions [11][12]. - Governments play a crucial role in regulating and guiding public opinion, emphasizing the need for legal frameworks and timely communication to prevent misinformation [12][13]. - Enterprises must monitor public sentiment and respond to crises effectively to protect brand reputation, while also ensuring responsible content management on their platforms [14][15]. Group 5: Future Directions - The evolution of information technology presents both challenges and opportunities for online public opinion management, necessitating a focus on ethical considerations and cross-border collaboration [19]. - Future research should continue to explore innovative approaches to managing online public opinion, aiming to balance freedom of expression with the need for social order [19].