来源：人民法院报 本报讯 近日，新疆维吾尔自治区和静县人民法院审结一起私自采挖野生雪莲的刑事案件，敲响了 非法采挖国家重点保护植物必受法律严惩的警钟。 今年7月，被告人王某与刘某在未取得相关行政部门审批许可的情况下，在和静县某地采挖雪莲44 株，二人在下山途中被民警当场查获。经鉴定，被采摘的雪莲属于国家二级重点保护野生植物。王某与 刘某被依法提起公诉。和静法院审理后认为，二被告人的行为已构成危害国家重点保护植物罪。鉴于王 某、刘某系初犯、偶犯，到案后如实交代犯罪事实，自愿认罪认罚，对其从轻处罚，遂判决被告人刘某 及王某犯危害国家重点保护植物罪，均判处有期徒刑三年，缓刑三年，并处罚金2000元。（黄雅倩） ...

Group 1 - The core viewpoint of the articles highlights the efforts of China Energy Group Shenhua Engineering Technology Co., Ltd. in supporting rural revitalization through consumption assistance and industrial development, showcasing the company's commitment to social responsibility [1][2][3] - The company has actively participated in various initiatives, such as the "Central Enterprise Consumption Assistance Welcoming Spring Action" and "Central Enterprise Consumption Assistance Promoting Agriculture Week," integrating consumption assistance into daily operations and employee welfare [1][2] - Over the past five years, the company has invested nearly 1.2 million yuan to help high-quality agricultural products from Qinghai Province's Gangcha County reach consumers, creating a positive cycle of "consumption equals assistance" [2] Group 2 - In terms of industrial assistance, the company has undertaken multiple key projects in Qinghai Province, focusing on local resource endowments and development needs, thereby enhancing infrastructure and stimulating rural revitalization [2][3] - A notable project is the 2.0034MW rooftop distributed photovoltaic power generation EPC project for the National Energy Group Qinghai Company, which was completed in just 44 days and marked the company's first entry into the Qinghai renewable energy market [2] - Another significant project is the Qinghai Lake Specialty Product Experience Center, which is the largest aid project in Qinghai Province, integrating photovoltaic architecture and smart building standards, aimed at showcasing local agricultural products and providing comprehensive trade services [3]

中国同中亚国家关系有着深厚的历史渊源、广泛的现实需求、坚实的民意基础。中国中亚合作取得丰硕 成果，离不开元首外交的战略引领和把舵定向。从2013年在哈萨克斯坦发表演讲时首次提出共同建 设"丝绸之路经济带"，到2022年将哈萨克斯坦作为新冠疫情后首访首站，再到今年首次赴中亚国家出席 中国—中亚峰会，习近平主席9次到访中亚、6次到访哈萨克斯坦，为中国中亚关系及中哈关系发展作出 顶层设计、指明前进方向、注入强劲动力。 一种精神，凝聚团结力量。习近平主席同中亚五国元首一致决定弘扬"中国—中亚精神"，是本届峰会最 突出的亮点。这一精神根植于中国与中亚国家2000多年的友好往来，巩固于建交30多年的团结互信，发 展于新时代以来的开放共赢。在"中国—中亚精神"指引下，中国和中亚国家坚守团结初心，实现了全面 战略伙伴关系、共建"一带一路"合作伙伴、双边和区域命运共同体"三个全覆盖"。今年9月，中亚五国 元首悉数赴华出席中国人民抗日战争暨世界反法西斯战争胜利80周年纪念活动，共同捍卫二战胜利成 果，维护战后国际秩序。习近平主席提出全球治理倡议后，哈萨克斯坦总统托卡耶夫第一时间公开支 持，充分彰显中哈互信互助的坚定意志。 一个主 ...

本报记者 姚雪青 培训操作技能。 樊春吉摄 企业导师指导苏州职业技术大学学生在车间实践。 叶 军摄 德国技术人员为苏州健雄职业技术学院学生 数据来源：教育部、苏州市教育局等 创新办学模式，深化产教融合、校企合作，鼓励企业举办高质量职业技术教育，探索中国特色学徒制。 ——摘自"十四五"规划纲要 围绕科技创新、产业发展和国家战略需求协同育人。 ——摘自"十五五"规划建议 "学校与企业，不用再二选一了!"手握"双兼双聘"工作合同，36岁的博士许正典对未来信心满满——他 既是苏州职业技术大学教师，也是苏州绿的谐波传动科技股份有限公司员工。这份工作合同，源自江苏 省苏州市吴中经济技术开发区机器人与智能制造产教联合体内的一场集中签约，8家高校与8家企业达成 共识，联合引育高层次人才。 "十四五"时期，吴中经开区机器人与智能制造产教联合体、太仓中德智能制造产教联合体，先后入选教 育部评选的国家级市域产教联合体名单。职业教育和地区产业发展如何双向奔赴？苏州的探索有哪些亮 点？记者进行了采访。 密切联动，校企合作更深入 "双重身份，也是双重动力。"许正典说，成为学校和企业联合引育的高层次人才后，自己在项目资源方 面获得了更多支 ...

Core Insights - The article emphasizes the potential of the Chinese economy, highlighting its stability, advantages, resilience, and significant potential for growth [1] - The recent milestones in the automotive industry, referred to as the "three 30 million," illustrate the rapid development and innovation within this sector [1] Automotive Industry Highlights - FAW-Volkswagen celebrated the production of its 30 millionth vehicle at the end of October, showcasing its transition to high-end manufacturing and the potential of the Chinese market [1] - Changan Automobile produced its 30 millionth Chinese brand vehicle on December 10, achieving the third 10 million milestone in just 4.5 years, reflecting significant advancements in quality, efficiency, and innovation [1] - Data from the China Association of Automobile Manufacturers indicates that in the first 11 months of this year, China's automobile production and sales exceeded 31 million units, with the country leading global vehicle exports and over half of new car sales being electric vehicles [1]

Core Insights - Artificial intelligence is becoming a key force driving transformation in the healthcare sector, focusing on precision in disease diagnosis, personalized treatment plans, efficient drug development, and intelligent health management [1][4]. Group 1: AI in Healthcare - AI is reconstructing the healthcare service paradigm by breaking down geographical barriers in medical resources, enhancing grassroots diagnosis, and ensuring precise health knowledge dissemination [4]. - Experts emphasize the importance of integrating AI in early identification and personalized intervention for neurological diseases, showcasing significant advancements in stroke prevention and treatment [4][5]. - The integration of AI with traditional Chinese medicine is highlighted as a means to innovate while preserving the essence of traditional practices [8]. Group 2: Medical Talent Development - High-quality discipline construction in public hospitals is essential for cultivating exceptional medical talent and improving healthcare service quality [6]. - A differentiated evaluation system is proposed to adapt to the "Healthy China" strategy, focusing on both innovative and clinical medical talents [7]. - Emphasis is placed on interdisciplinary collaboration and practical-oriented training to enhance the capabilities of medical professionals [7]. Group 3: Health Management Innovations - The "People's Good Doctor Family Health Care Service" project aims to create an intelligent, inclusive, and reliable health protection system for the public, utilizing AI technology [20]. - The launch of the "People's Good Doctor Corpus" aims to provide reliable information and verification services for healthcare professionals and the public [15]. - The establishment of the "People's Good Doctor·Zhong Nanshan Science Popularization Joint Laboratory" is intended to build a robust health science communication system [12]. Group 4: Future Directions - The conference highlighted the need for continuous optimization of medical talent training systems and the integration of digital technologies in healthcare [5][6]. - Discussions on the coexistence of medical humanities and AI suggest that AI can enhance the quality of medical services while promoting humanistic care [25].

Core Viewpoint - The integration of artificial intelligence (AI) in healthcare is seen as a means to enhance medical services and convey humanistic care, rather than being in opposition to medical humanities [1][5][6]. Group 1: AI and Medical Humanities - Experts agree that AI can significantly improve diagnostic accuracy and provide reliable data support for clinical diagnosis, complementing the principles of medical humanities [5]. - The development of AI should focus on creating a dialogue model that incorporates diverse humanistic elements, transitioning AI from a "precise tool" to a "compassionate assistant" [5]. - A three-tier management system is recommended to ensure the integration of AI and medical humanities, including the establishment of an AI ethics committee and quality control positions [6]. Group 2: AI in Grassroots Healthcare - AI technology can alleviate the workload of healthcare workers in grassroots settings, allowing more time for patient communication and enhancing the delivery of humanistic care [7]. - There is a need for medical professionals to effectively interpret and communicate AI screening results to address patients' doubts about AI [7]. - The integration of AI in traditional Chinese medicine is emphasized, with a focus on maintaining the core principles of personalized treatment while utilizing AI for support [7]. Group 3: Future Directions and Challenges - The potential of AI in private hospitals is highlighted, as they can build complete and accurate medical data systems from scratch, free from legacy constraints [8]. - The current limitations of AI in sensing patient emotional changes are acknowledged, with a call for the incorporation of humanistic factors to unlock further medical value [8]. - The importance of reforming medical education to meet the new demands of the AI era is stressed, aiming to cultivate medical professionals who can effectively utilize AI while discerning its information value [7].

数字化转型为医疗服务模式变革带来新机遇，也提出了新挑战。中日友好医院党委常委、副院长（主持行政工作）崔勇认为，公立医院推动医疗服务 从"经验医学"向"数据智能医学"转型，当前面临两大关键短板：一是医院间信息不通畅，数据壁垒尚未完全打破；二是海量院内数据难以有效转化为大数据 资源并赋能人工智能应用。他建议，医院应聚焦标准化建设与集成应用两大方向，着力构建统一数据平台，推动数据向人工智能生产力转化。同时，要重点 构建可信数据空间，在严格保护患者隐私的前提下开展数据治理工作。此外，可以建立多个优势病种专病数据库，积极推进人工智能研发。 "'数据大'不等于'大数据'。医院在数字化转型过程中，不能仅仅追求数据的数量，更要注重数据的质量和可用性。"首都医科大学附属首都儿童医学中 心、首都儿科研究所副所长谷庆隆说，"医院内海量数据因缺乏标准化规范难以转化为有效数字资产。对此，应考虑'做减法'，可以聚焦一些专病领域，建 立科学的数据治理体系，对专病数据进行清洗、整合和分析，挖掘出数据背后的潜在价值，为临床决策、科研创新和医院管理提供有力支持。" 首都医科大学附属北京妇产医院兼具单体医疗机构与北京市妇幼保健院双重职能，在数据资 ...

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