Core Viewpoint - The influence of the family of origin on individuals is complex and cannot be simplified, as it involves not only parental impact but also peer and ancestral influences [1][5][6]. Group 1: Psychological Theories and Cultural Context - The mainstream psychological theories in China have historically been based on Western perspectives, with many popular psychology books using Chinese cases to illustrate these theories [1]. - Yang Wensheng has been developing a psychological counseling theory more suited to Chinese culture, culminating in the publication of "The Methods and Arts of Short-term Psychological Counseling: The World of Two-Element Psychological Therapy" [1][16]. Group 2: Case Studies and Examples - An example from "The Book of Yan" illustrates successful psychological guidance, where a dream interpretation led to a positive outcome for a king suffering from illness [3]. - Yang Wensheng categorizes issues stemming from the family of origin into five types: excessive love, insufficient love, harsh love, indulgent love, and fragile love [5]. Group 3: Perspectives on Family Influence - There are differing academic views on the impact of the family of origin, with some arguing that peer influence is more significant than parental influence during childhood [5]. - Yang acknowledges the undeniable influence of the family of origin but emphasizes that it should not be viewed as an absolute determinant of one's psychological state [6]. Group 4: Authenticity of Narratives - Yang highlights the importance of the authenticity of individuals' narratives regarding their family backgrounds, noting that some recollections may be distorted or fabricated [7]. - He stresses that no family is perfect and that individuals must take responsibility for their lives rather than attributing all issues to their family of origin [7][8]. Group 5: Professional Limitations in Counseling - The concept of "professional violence" in psychological counseling refers to the potential harm caused by counselors who rigidly apply theories without considering individual feedback [9][11]. - Yang emphasizes the need for counselors to remain humble and open to feedback, recognizing their own limitations and the importance of adapting their approach based on client responses [11][12]. Group 6: Common Psychological Issues Among Students - The psychological issues faced by elite students are often similar to those of the general population, including academic pressure, interpersonal relationships, and emotional challenges [12][13]. - Yang notes a shift in the nature of these issues over the years, with an increase in anxiety and depression among students due to modern communication methods and societal expectations [12]. Group 7: Integration of Life Wisdom - Yang argues that life wisdom and common sense should not be undervalued in psychological counseling, as they provide essential insights into human behavior and relationships [14]. - He shares personal experiences that shaped his understanding of human interactions, emphasizing the importance of treating everyone as equals, regardless of their social status [14].

Core Insights - The tourism industry is undergoing a transformation driven by digitalization and the reshaping of the consumer industry chain, moving from a traditional service model to an integrated ecosystem [1] - The demand for travel is shifting from "functional satisfaction" to "experience-driven," with innovations such as artificial intelligence, low-altitude economy, and immersive technology reshaping the underlying logic of the tourism industry [1] - The focus is on rebuilding the "tourism+" industry chain through five dimensions: technological upgrades, scenario innovation, business model restructuring, service upgrades, and reshaping the consumer chain [1] Industry Trends - By 2025, the online travel industry is experiencing an unprecedented AI race, with platforms like Tongcheng Travel, Fliggy, and Mafengwo rapidly updating their AI products [2] - Online travel platforms are integrating the Deep-Seek model to enhance itinerary planning, intelligent customer service, and supply chain optimization [2] - Key trends include accelerated product iterations, reduced user decision-making time, AI replacing online customer service, and a high demand for technical talent [2][10] Product Development - All surveyed online travel platforms have integrated Deep-Seek, with an average product iteration cycle of 1-2 months [4] - Mafengwo launched its AI travel assistant "AI Xiaoma," which fully integrates Deep-Seek and its own vertical fine-tuning model [4] - Fliggy's AI product "Ask" and Tuniu's AI assistant "Xiaoniu" have also been rapidly launched, indicating a competitive environment [4][5] User Experience Enhancement - AI products are helping users shorten decision-making time and improve itinerary planning, with some platforms developing "budget management" features [7][8] - Mafengwo's "AI Xiaoma" supports real-time Q&A, itinerary planning, and personalized recommendations, while Fliggy's "Ask" includes multiple professional assistant functions [7][8] - The average browsing time for users planning trips to destinations like Xinjiang and Australia is significantly reduced with the help of AI [8] Talent and Investment - The demand for technical roles such as algorithm engineers and AI product managers is increasing due to investments in AI customer service and itinerary planning [10][11] - Companies like Ctrip and Tongcheng Travel are actively hiring for these positions, with salaries ranging from 20,000 to 50,000 yuan per month [11] - R&D expenses are rising, with Ctrip reporting a 16% year-on-year increase in Q4 2024 R&D costs, and Tongcheng Travel's service development expenses also increasing [11] Challenges and Future Outlook - Current AI technology is not mature enough to replace complex tasks, with many platforms relying on human-AI collaboration for personalized services [13][14] - The future of the industry may involve a battle between content-driven platforms and supply chain-based online travel platforms, with AI enhancing service frequency [15] - Overall, both capital and national policies are optimistic about the application prospects of AI in the tourism industry [16]

Group 1 - Meituan has launched its AI tool "Meituan Jibai" aimed at hotel operators, focusing on efficient customer acquisition, long-term management, and service transformation to enhance guest satisfaction [1][2] - The CEO of Meituan, Wang Xing, emphasizes a proactive strategy in AI development, advocating for leveraging resources to capitalize on disruptive technologies rather than merely defending existing assets [1][3] - The hotel and travel sector is entering an AI era, with Meituan preparing to support the industry's AI ecosystem development and planning to release an AI travel assistant for consumers [3][4] Group 2 - The integration of AI in Meituan's hotel services aims to improve operational efficiency and enhance user experience by providing dynamic business suggestions and personalized customer service [2][4] - Meituan's core local commerce segment, which includes its hotel and travel business, reported a revenue of 64.324 billion yuan in Q1, reflecting a year-on-year growth of 17.8% [3][6] - Meituan has made significant investments in AI and large model companies, indicating a forthcoming surge in AI applications across its various business lines [5][6] Group 3 - The company has invested heavily in AI technologies, with over half of its strategic investments focused on hard tech, including robotics and AI [6][7] - In Q1, Meituan's R&D expenditure reached 5.8 billion yuan, marking a 15% increase year-on-year, and the company is developing multiple AI application assistants for external users [6][7] - The competitive landscape in the travel industry is intensifying, with other players like Tongcheng and Ctrip also launching AI-driven services [3][6]

以下文章来源于21世纪商业评论 ，作者何己派 21世纪商业评论 . 《21世纪商业评论》敏感于一切商业新知、商业产品、商业模式和商业英雄，敏感于新公司的新玩意、老公司 的新改造、旧话题的新表达、老商业的新颠覆，为您提供最新鲜实用的商业养分。 研发药物，大笔融资。 来源：21世纪商业评论 记者：何己派 编辑：鄢子为 三位麻省理工的博士，延迟现金到账的时间。 5月26日，晶泰科技发布公告，联合创始人温书豪、马健及赖力鹏博士，自愿延长所持股票禁售期一 年。 原本，三人在6月中旬就可套现，尝到财务自由的甜头；现在其承诺，到2026年6月12日止，不会出 售手头股票。 | THE OF THE FOR THE | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 姓名 | 职务 | 任职日期 | 性别 | 出生年份 | 年龄 | 最新薪酬(万元) | 最新持股数(万股) | | > 温书豪 | 董事长,执行董事 | 2023-11-27 | | 1982 | 43 | 4,910.40 | 80,993.85 | | ■> 蒋一律 | 执 ...

Core Viewpoint - Tongcheng Travel's performance is steadily growing driven by the release of public travel demand, AI technology revolution, and global expansion [1][4] Financial Performance - In Q1 2025, Tongcheng Travel achieved revenue of 4.377 billion yuan, a year-on-year increase of 13.2%; adjusted EBITDA reached 1.159 billion yuan, up 41.3% [2][3] - The company reported a 40% year-on-year increase in international ticket sales and a 50% increase in international hotel night stays [2] Business Segments - The three core business segments of transportation, accommodation, and vacation all experienced double-digit growth in Q1 2025, with transportation revenue increasing by 15.2% to 2 billion yuan, accommodation revenue rising by 23.3% to 1.19 billion yuan, and vacation revenue growing by 20% to 603 million yuan [1][2] - The annual service user count reached 1.96 billion, with annual paying users hitting a record high of 247 million [2] AI Integration - Tongcheng Travel has advanced its AI capabilities, achieving a 43% improvement in efficiency and an 80% increase in booking efficiency through the integration of "Chengxin AI" and DeepSeek [3] - The AI system can generate personalized travel plans based on user input, enhancing user experience and operational efficiency [3] Market Outlook - The CEO of Tongcheng Travel expressed optimism about the growing travel market, particularly among non-first-tier city consumers, and plans to continue focusing on the mass travel market while enhancing AI capabilities [4]

在数字化浪潮汹涌澎湃的当下，人工智能（AI）技术宛如一股强劲的东风，正深刻地重塑着文旅行业 的格局。从在线旅游平台（OTA）到酒店行业，AI的融入带来了前所未有的变革，为整个文旅产业注 入了新的活力与发展契机。 OTA平台接入AI：突破传统困境，重塑竞争优势 在过去很长一段时间里，OTA平台面临着诸多发展瓶颈。盈利模式上，主要依赖交易佣金的模式逐渐显 露疲态，创新乏力，难以挖掘更多利润增长点。人力成本方面，随着业务规模的不断扩张，处理海量的 用户咨询、订单管理等工作，使得人力成本大幅攀升，压缩了利润空间。而AI技术的出现，为OTA平 台突破这些困境提供了可能。以大数据分析与机器学习为核心的AI技术，能够对平台积累的海量用户 数据进行深度挖掘。通过分析用户的搜索历史、预订偏好、消费习惯等信息，精准把握用户需求，从而 实现从传统的"广撒网"式营销向精准营销的转变，提升营销效率与投入产出比，开辟新的盈利路径。 据悉，飞猪推出的多智能体驱动的AI产品"问一问"，它像专业的旅游服务从业者一样思考问题、执行任 务，并基于飞猪在供应链、服务等领域的专有数据以及全网的出行及玩法内容，为用户提供真实、可用 的旅行方案。例如，用 ...

据了解，四维医学成立于2008年，前身为上海交通大学医学院医学信息远程监测研发中心，是一家高科 技企业，目前上海交通大学仍拥有其10%股权。作为国内最大规模的远程心电图（ECG）诊断服务解决 方案企业，四维医学主要从事心电图、远程超声影像诊断、人工智能远程诊断创新业务等。 公开资料显示，晶泰控股自2015年由三位麻省理工学院的物理学家创立后，在AI制药领域不断深耕。 2024年6月公司在港交所上市，构建了基于量子物理、以人工智能赋能和机器人驱动的创新型研发平 台。 根据公告，此次收购的对价将以现金方式悉数结清。以四维医学截至2024年12月31日未经审计财务报表 数据来看，2024年公司收入为3961万元，净利润为525万元 。据此计算，此次收购使四维医学全部股权 的市销率为7.0倍，市盈率高达52.9倍。 不过，晶泰控股董事会认为，该交易对价符合与其业务性质相似的五家上市公司的比较数据，公平合 理，符合公司及股东的整体利益。 在业绩承诺方面，长江商报奔腾新闻记者注意到，卖方及担保人向买方承诺，四维医学在截至2025年12 月31日止财政年度来自上海地区项目的主营业务收入不得少于2700万元。尽管这一收入保证 ...

2025年，在线旅游行业掀起了一场前所未有的AI竞速战。截至5月，包括同程旅行、飞猪、马蜂窝等在 内的平台均加速更新AI产品。今年，在线旅游平台均密集接入大模型DeepSeek，试图在行程规划、智 能客服、供应链优化等领域抢占先机。为此，深蓝智库调研了业内多家主要在线旅游平台，并采访了多 位研究该领域的业内专家，围绕在线旅游企业角力AI总结出行业发展趋势，产品加速迭代、缩短用户 决策时间、AI取代在线客服、技术人才需求量大均成为新趋势，不过当下行业也面临技术不成熟、信 任度仍待提升等问题。业内专家认为，AI驱动的旅游业需突破"技术工具化"的初级阶段，呼吁政策层面 开放数据共享与标准共建，将成为下一阶段竞争的关键变量。 平均1—2个月产品迭代 在深蓝智库采访调研的平台中，所有的在线旅游平台均接入了DeepSeek。深蓝智库调研时还发现，今 年所有在线旅游平台都在加速AI产品的迭代，平均每1—2个月都会优化或升级AI产品。 近日，马蜂窝自研AI旅行助手"AI小蚂"正式上线。据悉，马蜂窝将完成全面技术升级的"AI小蚂"全量接 入DeepSeek大模型的同时，还集成了马蜂窝的垂直精调模型。在"AI小蚂"上线的前不久， ...

Core Insights - The article highlights the significant potential of AI in the healthcare sector, particularly in remote medical services and diagnostics, with a focus on the acquisition of Shanghai Siwei Medical Technology Co., Ltd. by Jingtai Holdings for 250 million yuan [1][2][3] Company Summary - Jingtai Holdings has acquired 90% of Shanghai Siwei Medical, the largest remote ECG diagnostic service provider in China, to enhance its AI healthcare business and support drug development [1][2] - The acquisition will enable Jingtai to integrate clinical, molecular, and imaging data to develop precise and efficient remote diagnostic tools for cardiovascular diseases [2][6] - Jingtai aims to leverage Siwei's extensive structured ECG data and clinical experience to create a high-efficiency remote medical and AI-assisted diagnostic platform [6][7] Industry Summary - Cardiovascular diseases are the leading cause of death in China, accounting for over 45% of total deaths, with a significant market for ECG monitoring, estimated at 21 billion yuan [3][4] - The remote ECG testing market is projected to reach 10 billion yuan by 2022, driven by the increasing demand for advanced healthcare solutions amid a shortage of specialized medical professionals [3][4] - Government policies, such as the "Healthy China 2030" initiative, are promoting the integration of AI in healthcare, encouraging the development of remote medical services [4][5]

Core Insights - The article emphasizes the importance of optimizing resource allocation in grassroots healthcare to enhance service delivery and meet public demands for accessible medical services [1][3] Group 1: Grassroots Healthcare Improvement - The establishment of a tight-knit county medical community is being explored in various regions, with county hospitals leading the integration of medical resources to provide efficient healthcare services [1][2] - The implementation of remote electrocardiogram (ECG) diagnostic centers allows for seamless data transmission and rapid diagnosis, significantly improving emergency response times for acute myocardial infarction patients [2][3] - Enhancing the capabilities of community hospitals and village clinics is crucial for addressing common illnesses and ensuring that patients can receive care close to home [2][3] Group 2: Resource Allocation and Technology Integration - The integration of technology in healthcare resource distribution is essential, particularly in rural areas, where improving diagnostic capabilities is as important as providing medical equipment [3] - The establishment of 172 tight-knit county medical communities across the province demonstrates a commitment to comprehensive healthcare coverage [3] - The "county-managed, township-utilized" model for healthcare personnel aims to facilitate the movement of medical staff and improve patient referral processes [3] Group 3: Educational Services Enhancement - The article draws parallels between healthcare and education, highlighting the need for comprehensive service delivery in higher education institutions to support student needs effectively [4] - The implementation of a "one-stop" student service model in universities enhances the management of student affairs through digital infrastructure and data-driven solutions [4] - The focus on integrating resources and utilizing technology in educational settings aims to address student demands and improve overall service quality [4]