在广东云浮的良洞云秋养殖小区，现代化鸡舍里数千只羽毛黄褐的中华土鸡在智能化养殖系统的投喂下 吃着饲料。打开手机，农户就可以看到鸡群的生长数据和环境数据，包括用水量、活动量、采食量、温 度、湿度、光照度等。只要在屏幕上轻轻一点，就可以调动智能化系统，自动为鸡群添加饲料、加水或 清扫鸡舍。 中华土鸡是我国本土品种。我国有数千年的土鸡养殖历史，土鸡种类繁多。近年来，白羽鸡已占据国内 超半数肉鸡市场份额，生长周期较长的中华土鸡市场持续受到冲击。对此，养殖龙头温氏食品集团股份 有限公司（以下简称"温氏股份"）主动破局，通过运用人工智能、物联网、大数据等前沿科技，自研完 善育种体系，建构起贯通上下游的全产业链体系，重新擦亮了"中华土鸡"这一名片。 "中华土鸡肉质紧实、口感鲜美。如果说，过去'白羽鸡'解决了人们的吃鸡自由，那么未来'中华土鸡'则 将让营养和口感更上一层楼。随着消费者对高品质肉鸡需求的增长，中华土鸡将重回'餐桌C位'，未来 市场发展空间广阔。"温氏股份董事长温志芬在接受《证券日报》记者采访时表示。 打通"农场到餐桌" "有句老话'无鸡不成宴'，家宴时炖一锅金黄鲜香的土鸡汤，可以让味蕾得到满足。不过，以前购买、 ...

Group 1 - The "Guanghuo Xing Tianxia" spring action launch ceremony and home appliance promotion event will start on January 15 at the Tanzhou Convention Center in Foshan, with over 1,300 local home appliance companies participating [1] - Guangdong is a core region for China's home appliance industry, having achieved over 10 national firsts in various categories since the reform and opening up, including production volume of air conditioners and rice cookers [1] - The focus of Guangdong's manufacturing has shifted from "mass production" to "intelligent manufacturing" due to challenges such as rising costs and global supply chain changes [1] Group 2 - Guangdong home appliance companies are integrating IoT, AI, and big data into R&D and production, with the smart home appliance industry in the Guangdong-Hong Kong-Macao Greater Bay Area expected to account for nearly 30% of the global market by November 2025 [2] - Gree Electric has been recognized as a national "leading-level" smart factory, while Midea showcased its innovative technology at the Berlin International Consumer Electronics Show [2] - The event will feature a dual marketing strategy of "online + offline," utilizing major e-commerce platforms and live streaming to effectively reach consumers and enhance brand influence [2] Group 3 - The first quarter will see 18 supporting activities under the "Guanghuo Xing Tianxia" initiative, aimed at integrating resources from leading enterprises, research institutions, and industry associations to create a precise resource matching hub [3] - These supporting activities are crucial for building a healthy industrial ecosystem, transforming the event into a platform for technology exchange, industry connection, and cultural promotion [3] - The initiative aims to enhance the image of Guangdong manufacturing, showcasing not only production capacity but also innovation and advanced technology [3]

Group 1 - The core issue revolves around the case of Yao Qian, former director of the Technology Supervision Department of the China Securities Regulatory Commission (CSRC), who was investigated for corruption involving virtual currencies [1][7][32] - The investigation revealed that Yao Qian used hardware wallets to store virtual currencies, which were valued at several million yuan, as a means to accept bribes [3][28] - The case highlights the challenges of regulating new forms of corruption, particularly those involving virtual currencies, which are difficult to trace and monitor due to their decentralized nature [9][34] Group 2 - The investigative team utilized big data and information technology to uncover Yao Qian's illicit activities, including the discovery of "mask accounts" that he controlled, which were used to facilitate large transactions [12][37] - A significant finding was a transfer of 10 million yuan linked to a virtual currency trading account, which was traced back to Yao Qian's "mask account" and subsequently used for purchasing a villa [39][41] - The investigation also identified a key intermediary, Jiang Guoqing, who facilitated Yao Qian's corrupt transactions and was involved in the transfer of virtual currencies [16][43] Group 3 - The case of Yao Qian serves as a precedent for the anti-corruption efforts involving virtual currencies, demonstrating the importance of adapting regulatory frameworks to address new forms of corruption [21][48] - The use of blockchain technology allowed investigators to trace the flow of virtual currencies, providing a clear record of transactions that ultimately led to Yao Qian's admission of guilt [46][48] - The ongoing evolution of information technology, including artificial intelligence and big data, is crucial for enhancing the effectiveness of anti-corruption measures in the public sector [49][51]

Core Viewpoint - The article discusses the use of technology, particularly big data and artificial intelligence, in enhancing anti-corruption efforts within China's disciplinary inspection and supervision system, highlighting the case of Li Yong, a former executive at China National Offshore Oil Corporation (CNOOC), as a significant example of cross-border corruption [1][56]. Group 1: Technology in Anti-Corruption - The disciplinary inspection and supervision agencies are accelerating the construction of a digital system to enhance anti-corruption efforts using big data and AI [1][56]. - Recent efforts have focused on addressing cross-border corruption, which has become a challenge for authorities as corrupt individuals attempt to evade investigation by moving illicit funds abroad [1][56]. - The application of technology has significantly improved the efficiency and effectiveness of supervision and law enforcement in combating corruption [1][56]. Group 2: Li Yong's Case - Li Yong, former Deputy Secretary of the Party Committee and General Manager of CNOOC, is under investigation for serious corruption issues, particularly in overseas projects [5][60]. - Over 83% of the illicit funds in Li Yong's case originated from abroad, with investigations spanning 10 countries and regions [7][62]. - Li Yong's long tenure in the oil sector allowed him to disguise corrupt practices within seemingly legitimate project collaborations, making it difficult to trace the evidence of his wrongdoing [9][64]. Group 3: Investigation Techniques - The investigation into Li Yong was initiated based on various clues and suspicions regarding his involvement in corruption, leading to a data-driven approach for evidence gathering [11][66]. - The use of big data platforms allowed investigators to analyze Li Yong's business relationships and identify key individuals involved in corrupt activities [14][69]. - A businessman named Ren Fengde, who had close ties with Li Yong, was found to have received suspicious contracts, indicating a network of corruption [14][69]. Group 4: Corruption Mechanisms - Li Yong utilized his position to facilitate corrupt transactions, often using intermediaries to obscure the flow of illicit funds [23][78]. - He arranged for offshore accounts to hide the proceeds of corruption, complicating the tracing of these funds [31][86]. - The investigation successfully utilized international cooperation to gather evidence, demonstrating the effectiveness of cross-border legal collaboration in anti-corruption efforts [33][88]. Group 5: Consequences and Sentencing - Following the investigation, Li Yong was detained and later sentenced to 14 years in prison for bribery, along with a fine of 3 million RMB [53][108]. - The case serves as a cautionary tale about the consequences of corruption, highlighting the irreversible damage to personal and professional reputations [55][110].

1月14日，扬州市广陵区十届人大五次会议召开，郎俊区长作政府工作报告。 "十四五"时期地区生产总值连续跨越三个百亿台阶 报告说，"十四五"时期，全区地区生产总值连续跨越三个百亿台阶、预计达940亿元，规上工业产值年 均增长5%，服务业增加值年均增长5.6%，社会消费品零售总额超360亿元、较2020年增长32%。聚焦 区"513"主导产业体系精准招商，累计签约项目649个、总投资1568亿元。实施列省重大项目8个、市级 重大项目205个，总投资55亿元的恒润冷轧、20亿元的双新变压器等一批重大项目建成投产，总投资13 亿元的中航机载（600372）共性技术研发基地、10亿元的中化扬农研发创新基地开工建设。中欧智能制 造产业园创成全市首家省级国际合作园区，落户荷兰海沃重卡牵引座、德国慕贝尔稳定杆等项目。中意 美食产业园签约意大利星迪蓝冰淇淋、泰德尔红酒等项目。累计实际利用外资4.9亿美元。广陵新城获 批省软件名园、市人工智能产业园，落户运营阿里、盘古等头部跨境电商平台。 "五年来，高新技术企业从170家增加到254家，到2025年末，共有省潜在独角兽企业1家、省瞪羚企业4 家，省级以上专精特新企业93家。"郎俊 ...

摘要： 雍禾医疗的数字化实践，首先体现为诊疗过程的精准化与标准化。 雍禾医疗的系统性数字化建设，已超越单一工具的应用，形成了驱动医疗质量标准化、服务流程透明化、资源配置最 优化的核心能力。这不仅是其自身提升体验、构建壁垒的战略选择，也为整个毛发医疗行业向更高水平的标准化发 展，提供了切实可行的数字化范式。 在毛发医疗领域，传统的服务模式正面临诸多挑战：诊疗效果高度依赖医生个人经验，服务流程宛如"黑箱"，资源分 布不均使得优质医疗服务难以普惠。要破解这些挑战，数字化已成为关键引擎。 雍禾医疗前瞻性地将数字化、智能化置于战略核心，这并非简单地将线下流程"上网"，而是以人工智能与大数据为驱 动，从底层重构了诊疗、管理与服务的全链条。通过打造AI智能诊疗体系实现精准诊断，依托"禾帆"管理系统确保流 程透明与可追溯，创新"天网+地网"模式打破服务时空边界，雍禾正系统性地将技术力转化为医疗品质与患者体验的提 升能力，引领行业迈向一个更可信、更可感、更高效的新阶段。 更深远的创新在于，雍禾以数字化重构了医疗服务的空间与模式，即"天网+地网"融合生态。"天网"指具备合规资质的 互联网医院，提供在线问诊、检测与咨询；"地网"则 ...

新华财经北京1月14日电（记者董道勇）当前，诚信正逐步被资本市场量化、定价，北京国家会计学院 教授、致公党中央经济委员会委员胡明霞接受记者采访时表示，对上市公司而言，将诚信从"合规成 本"转化为"战略资产"，是价值创造的关键一跃。近年来，我国持续推动修复诚信生态，旨在重建商业 对真实的敬畏、职业判断对准则的遵从、市场对诚信的公允定价。 信任资本：超越合规的战略资产 胡明霞表示，对上市公司而言，将诚信从"合规成本"转化为"战略资产"，是价值创造的关键一跃。视诚 信为成本者，行为是防御性、最小化的，目标仅为"不出事"；而视诚信为资产者，其行为是进取性的 ——主动审慎披露，保持与市场坦诚沟通，其深知透明与可信赖能带来真实溢价。 "这体现为更稳定的投资者基础、更强的危机韧性、更低的融资成本及更牢固的伙伴关系。"胡明霞举例 说，在深交所"质量回报双提升"行动中表现优异的企业，共性正是通过清晰、一致、可信的沟通赢得长 期信任。 胡明霞认为，构建企业"信任"资产，需从"关键少数"入手，将诚信纳入高管聘任与考核核心维度；建立 诚信导向的长期激励机制，与经审计验证的长期业绩及ESG表现挂钩；在晋升与评优中实施"诚信一票 否决" ...

Core Viewpoint - The Ministry of Civil Affairs and seven other departments have jointly issued measures to promote the branding of elderly care services, aiming to elevate the sector from fragmentation and low standards to branding and standardization, thereby enhancing the silver economy [1][2]. Group 1: Market Potential and Demographics - The silver economy in China has significant growth potential, with the elderly population aged 60 and above expected to reach 310 million by the end of 2024 and over 400 million by 2035, leading to a market scale projected to exceed 30 trillion yuan [1]. - The branding of elderly care services is essential for the development of the silver economy, ensuring that the elderly can enjoy better care and services [1]. Group 2: Branding and Standardization - The current elderly care market suffers from fragmentation, with a lack of standardized services and low consumer trust, which the new measures aim to address by supporting chain-operated care services and encouraging trademark registration [1]. - The measures propose the establishment of distinctive signage for care service providers and the inclusion of brands in the "China Consumer Famous Products" list, transforming service providers from "general stores" to "flagship stores" [1]. Group 3: Technological Integration - The future of elderly care will require technological empowerment, with a projected increase in the care-dependent population to over 40 million in the next five years, creating a demand for over 5 million additional caregivers [2]. - The measures advocate for the integration of big data, cloud computing, artificial intelligence, and Beidou technology in health monitoring, safety alerts, and personalized services for the elderly, enhancing service quality [2]. Group 4: Sustainable Development and Market Dynamics - The branding initiative is expected to foster a fair competitive environment, driving market development and creating a sustainable cycle of improved services, increased consumption, and a more vibrant industry [2]. - The policy aims to transition elderly care services from quantity expansion to quality improvement, laying the groundwork for high-quality, large-scale, and professional development in the silver economy [2].

Core Viewpoint - In February, China's total electricity consumption reached 743.4 billion kilowatt-hours, marking an 8.6% year-on-year increase, with various sectors showing different growth rates [1] Electricity Consumption by Sector - The primary industry consumed 9.8 billion kilowatt-hours, up 10.2% year-on-year [1] - The secondary industry consumed 462.4 billion kilowatt-hours, reflecting a 12.4% year-on-year increase [1] - The tertiary industry consumed 142.0 billion kilowatt-hours, with a year-on-year growth of 9.7% [1] - Urban and rural residential electricity consumption totaled 129.2 billion kilowatt-hours [1] Cumulative Electricity Consumption - From January to February, total electricity consumption reached 1,556.4 billion kilowatt-hours, showing a 1.3% year-on-year increase [1] - The low growth rate in electricity consumption for the first two months was partly attributed to warmer average temperatures in January, leading to only a 0.1% year-on-year increase in residential electricity consumption [1] Sector-Specific Growth - The information transmission/software and information technology services sector saw a daily year-on-year electricity consumption growth of 13.5% from January to February [1] - Driven by advancements in artificial intelligence, big data, cloud computing, and 5G, the internet and related services sector experienced a daily year-on-year electricity consumption growth of 25.2% [1] - The wholesale and retail sector recorded a daily year-on-year electricity consumption growth of 9.0% [1] - The electric vehicle sector, particularly in charging and swapping services, saw a remarkable daily year-on-year electricity consumption growth of 40.1% [1]

Group 1 - The core viewpoint is that traditional manufacturing companies in China are the ones realizing performance amidst the global tech market surge, with the future bull market in China relying on physical assets and manufacturing capacity value [1] - Recommended investment sectors include upstream resources (copper, aluminum, lithium, oil, coal) benefiting from potential increases in physical asset consumption and midstream industries like basic chemicals and steel as PPI rebounds [1] - Domestic sectors such as food and beverage, aviation, and apparel are expected to benefit from price stabilization and recovery in domestic demand [1] Group 2 - The introduction of commercial real estate REITs is expected to accelerate market expansion, with 12 consumer REITs currently listed, benefiting from ample inventory and simplified regulations [3] - AI PCB copper powder materials are entering a prosperous cycle, with the copper powder industry expected to see rapid profit growth due to increased usage in PCB production [3] - The copper powder's processing fee is projected to significantly increase, as its usage in PCB production is expected to rise from 15% to over 27% by 2029 [3] Group 3 - Insurance capital has shown a strong interest in equity stakes, with 39 instances of shareholding this year, primarily favoring high-dividend stocks in banking, infrastructure, and logistics [5] - The liquid cooling market for data centers is projected to reach $21.8 billion by 2027, driven by increased efficiency and lower power usage effectiveness (PUE) [5] - Domestic manufacturers are expected to benefit from the rising demand for liquid cooling solutions in AI servers, with a focus on those capable of mass production of core components [5] Group 4 - The Shanghai Composite Index is experiencing a primary upward trend, with financial stocks driving market gains and trading volumes exceeding 3 trillion yuan [11] - Various style indices have adjusted, with cyclical and growth sectors experiencing notable corrections due to recent rapid increases and external market influences [11] - The growth sector is seeing a reduction in momentum for further adjustments, with a focus on sectors benefiting from domestic demand policies such as machinery, home appliances, and consumer electronics [11]