斯坦福大学携手Elsevier，发布2025全球前2%顶尖科学家榜单，中国学者大放异彩！其中清华有746位学者入选，全球大学排名第四，超越斯 坦福。南京大学周志华和腾讯张正友双双进入全球前1000。 当地时间9月19日，斯坦福大学和国际权威学术出版社爱思唯尔（Elsevier）共同发布了「斯坦福2025全球前2%顶尖科学家榜单」。 这份榜单是学术界关注度最高的爱思唯尔发布的年度清单之一。 清华国内第一，周志华张正友全球前1千 清华大学入选年度Top10大学，共746位学者入选该榜单，稍落后于牛津大学，强过斯坦福大学，位居第四。 | Institute | Scientist Count | | --- | --- | | Harvard Medical Sch ... | 1184 | | College of Engineering | 805 | | University of Oxford | 751 | | Tsinghua University | 746 | | Stanford University | 718 | | University College Lo ... | 715 | | Un ...

Core Viewpoint - Xiangcai Co., Ltd. reported a total operating revenue of 1.144 billion yuan for the first half of 2025, reflecting a year-on-year growth of 4.63% and a net profit attributable to shareholders [1] Business Performance - The securities business, as the core segment of Xiangcai Co., Ltd., performed well, with its wholly-owned subsidiary, Xiangcai Securities, achieving an operating revenue of 792 million yuan, a year-on-year increase of 9.29% [1] - Brokerage business revenue reached 445 million yuan, showing a year-on-year growth [1] Strategic Focus - The company aims to create a competitive advantage in wealth management by integrating brokerage, credit business, and financial technology, including AI advisory services, leading to significant performance growth in the first half of the year [1] - In investment banking, the company focuses on regional development, emphasizing a customer-centric approach [1] Operational Efficiency - The company continues to prioritize cost reduction and efficiency improvement in its industrial segment, optimizing asset management through adjustments in personnel structure, product offerings, and operational models [1] - Xiangcai Co., Ltd. has actively reduced trade scale to enhance the competitiveness of its existing assets [1] Technological Advancements - The company is strategically investing in artificial intelligence, data mining, and next-generation information technology to build a financial technology ecosystem, which supports the digital transformation of Xiangcai Securities [1] Mergers and Acquisitions - In March, Xiangcai Co., Ltd. announced a plan to issue A-shares to all shareholders of Dazhihui as part of a stock swap merger, aiming to integrate Dazhihui's product, technology, and traffic advantages with Xiangcai Securities' licenses, operational capabilities, and network layout [1] Future Outlook - The company plans to continue focusing on its securities business, promoting digital transformation and technological empowerment, while enhancing collaboration with strategic partners like Dazhihui to optimize service structure and improve comprehensive financial service capabilities [1]

Group 1 - Business analysis (BA) and business intelligence (BI) serve different purposes within organizations, with BA focusing on predicting future trends and BI concentrating on analyzing historical data [1][2] - BA aims to identify growth opportunities, optimize business processes, and enhance efficiency through predictive analytics [7][9][10] - BI's primary goals include historical data analysis, reporting, and data visualization to provide insights into past performance [12][14][15] Group 2 - The key components of BA include predictive models, machine learning algorithms, and data mining techniques, which help in forecasting future trends [20][23][45] - BI relies on dashboards, scorecards, and data warehouses to present historical performance data and facilitate decision-making [46][48][52] Group 3 - Both BA and BI utilize similar tools for data collection, integration, and preparation, such as SQL, Python, and R, but differ in their analytical approaches [55][58] - BA employs statistical analysis and predictive modeling tools, while BI focuses on reporting and visualization tools [55][62] Group 4 - BA and BI complement each other by improving data usage and decision-making within organizations, with BI providing a foundation for BA to build upon [63][65] - The integration of BA and BI enhances operational efficiency and strategic planning, allowing organizations to be proactive rather than reactive [66][67] Group 5 - The main distinction between BA and BI lies in their perspective: BA is future-oriented and predictive, while BI is past-oriented and descriptive [68]

Core Viewpoint - The article highlights the journey of Zhou Xiao, a young female academic in artificial intelligence, emphasizing her unique path from architecture to computer science and her commitment to using data-driven methods to improve urban development and social issues [7][36]. Group 1: Background and Education - Zhou Xiao, a "post-90s" girl, is an assistant professor at Renmin University and the only female faculty member in the Gaoling Artificial Intelligence Institute [4][34]. - Initially studying architecture, she later transitioned to land economics at Cambridge University, where she sought to integrate technology and data into her work [5][15]. - In 2015, she decided to switch to computer science, despite having no prior coding experience, driven by a desire to use data to support urban planning [6][12]. Group 2: Research Focus and Achievements - Zhou's research focuses on the intersection of big data and urban development, particularly how cultural investments can drive economic growth in underdeveloped areas [24][28]. - Her first significant research paper, which examined the economic effects of the London Olympics, was published in a prestigious journal, marking her successful transition into the field of computer science [28][30]. - Between 2017 and 2018, she published three papers on how spatiotemporal big data can aid in understanding urban activities and resource allocation [29]. Group 3: Current Work and Philosophy - At Renmin University, Zhou emphasizes the importance of "AI+" and aims to develop AI solutions that address real-world problems, such as optimizing elderly care facilities in urban areas [41][42]. - She believes that AI's potential lies in its integration with big data and domain-specific knowledge, which can significantly impact various sectors [40]. - Zhou encourages her students to pursue research that is both innovative and applicable, fostering a learning environment that values exploration and personal freedom in academic pursuits [48][49].