涉企网络"黑嘴"的本质，是披着舆论监督外衣的违法牟利行为，其运作甚至形成"产业闭环"。上游"内 容工厂"专职造假，中游"传播矩阵"扩大声势，下游"变现环节"直接索财……这些行为突破了法律红 线，必须坚决遏制。 合规产品因被虚构"质量问题"而滞销，正常经营主体遭遇付费删帖勒索……一些涉企网络"黑嘴"扭曲真 实信息，设下陷阱，影响企业正常经营。今年以来，中央网信办开展专项行动，整治涉企网络"黑嘴"与 算法典型问题，彰显守护良好网络生态、优化营商环境的坚定决心。 一方面，企业需要提高法治素养和防范意识，遇到"黑嘴"，应依照规范程序快速反应，避免相关证据灭 失、损失进一步扩大。另一方面，要推进全链条治理，形成网信部门监测移送线索、公安侦查追赃、市 场监管部门查处不正当竞争、司法机关依法审理裁定的治理合力。同时，还要升级技术监管，善用大数 据分析"黑嘴"账号特征、IP轨迹，开发虚假信息识别系统，推动平台建立"企业白名单"，在核实后强化 正面信息推荐，对冲"黑嘴"影响。 良好网络生态已经成为优质营商环境的重要组成部分。用好法治手段、明确平台责任、加快完善机制， 保障广大企业在网络空间的合法权益，让企业心无旁骛投入生产经营 ...

经查证，这套材料实为"表面文章"。凭借这套"包装"，朱某利顺利拿到许可证。苏某随即联系建筑公 司，可运来的并非"改良土壤的沙土"，而是黑泥、建筑垃圾、石块等。"这类土透气性差、会严重破坏 土壤耕作层，基本不能种植农作物、蔬菜。"土壤研究专家直言。 复垦修复方案明确了改良土壤需要的沙土量，但是为了倾倒更多固废，朱某利等人在具体施工时，采取 给好处费的方式，要求检查渣土车辆的人员尽可能少报、不报。所谓的"石斛种植负责人"，实际上并无 任何种植经验，日常主要工作是管理"土场"。 2020年12月，因固废倾倒超量、质量不达标，项目被多次要求停工整改，但朱某利并未收手。2021年9 月，他又以"土地未平整完，农业项目难推进"为由，再次故伎重施，非法倾倒固废。 至案发时，现场地形地貌完全被破坏，上百亩耕地（含基本农田42.48亩）的原耕作层遭到严重破坏。 经检测，非法倾倒物无毒无害，虽然表层覆盖了约20厘米的涂层，但可耕性较差，基本不具备农作物露 地种植条件。 白天是"绿意盎然"的农业项目，夜晚却有上百辆车在此疯狂倾倒黑泥、建筑垃圾、石块等。最高人民法 院近期公布的破坏耕地犯罪典型案例中，由江苏省南京法院审理的朱某利、苏 ...

Core Viewpoint - Recent investigations reveal that some high-end bedding products marketed as "A-class maternal and infant grade" and "high-density" are misleading consumers, with factories providing false labels and counterfeit testing reports [1] Group 1: Industry Issues - There are significant issues in the bedding industry, including the prevalence of counterfeit labels and testing reports, which mislead consumers about product quality [1] - E-commerce platforms have failed to effectively manage these issues, contributing to a low cost of illegal activities for some merchants in the home textile market [1] Group 2: Regulatory Actions - Some local authorities have initiated special rectification actions to address these problems this year [1] - There is a need for comprehensive governance from the source to the end of the supply chain, with an emphasis on increasing penalties for violations [1] Group 3: Recommendations - E-commerce platforms should enhance the review and management of merchants and sales personnel, establish a robust product quality monitoring system, and implement a blacklist system [1] - Consumers are advised to be cautious of "high-end" products priced significantly below market norms and to seek legal recourse if issues arise [1]

Core Viewpoint - The newly revised Shandong Province Patent Regulations aim to address challenges such as insufficient supply of high-value patents, low patent conversion efficiency, and difficulties in rights protection, emphasizing the need for improved patent quality and utilization [1][2]. Group 1: Legislative Background and Objectives - The revision of the patent regulations is necessary due to changes in national patent laws and the need to adapt to new situations in patent work, focusing on quality and application [1]. - The regulations are designed to establish a high-value patent cultivation mechanism, reward excellent patent projects, encourage employee inventions, and strengthen talent development [1]. Group 2: Key Provisions of the Regulations - The regulations consist of 33 articles and focus on enhancing the quality of patent applications, rewarding outstanding patent projects, and encouraging pre-application evaluations of patent value and market prospects [1]. - To promote patent conversion, the regulations require tracking and evaluation of patents formed from publicly funded research projects, with unimplemented patents after three years being included in a public implementation list [2]. Group 3: Strengthening Patent Protection and Management - The regulations establish a mechanism for coordination between patent administrative enforcement and judicial processes, enhancing collaboration among various legal entities [2]. - A public service system for patents will be established, including platforms for showcasing and trading patents, and a patent evaluation system to analyze patent rights and infringement risks before major projects [2]. Group 4: Implementation and Support - The implementation of the regulations is seen as a crucial step to address development challenges and align with national policies, with plans for supporting policies such as high-value patent cultivation centers and financial support for patent rights protection [2].

如何保障检验检测的真实性，备受社会关注。条例通过明晰检验检测机构和人员从业基本要求和行 为规范, 详细规定机构的信息公示义务，来压实机构和人员主体责任，划定行业底线。通过填补制度空 白，条例对检验检测全流程活动作出规范，实现了省内检验检测监管活动"无死角"。其中，通过明确委 托检测要求、规范样品获取与处置、严格检验检测报告的出具、健全追溯查证机制、建立风险报告机制 等，推动检验检测各环节可跟踪、可溯源。 为净化行业环境，条例要求创新监管方式，通过推进"互联网+监管"，依托信用评价实行分级分类 监管，合理确定监督检查频次、内容、方式以及其他管理措施，建立联合监管和信息共享机制，实现检 验检测违法线索互联、监管标准互通、处理结果互认。条例还要求建立举报奖励制度，明确检验检测机 构的违法违规行为类型，并加大了惩处力度，其中不仅提升了对机构和人员的财产罚上限，还增设对资 质许可条件无法整改满足要求或出具虚假检验检测报告情节严重的机构，由发证机关吊销资质许可证的 罚则。 9月30日，省十四届人大常委会第十七次会议表决通过了《江苏省检验检测条例》。这是全国第二 部关于检验检测行业的地方立法。 江苏检验检测机构种类多、数量 ...

如何保障检验检测的真实性，备受社会关注。条例通过明晰检验检测机构和人员从业基本要求和行为规 范,详细规定机构的信息公示义务，来压实机构和人员主体责任，划定行业底线。通过填补制度空白， 条例对检验检测全流程活动作出规范，实现了省内检验检测监管活动"无死角"。其中，通过明确委托检 测要求、规范样品获取与处置、严格检验检测报告的出具、健全追溯查证机制、建立风险报告机制等， 推动检验检测各环节可跟踪、可溯源。 为净化行业环境，条例要求创新监管方式，通过推进"互联网+监管"，依托信用评价实行分级分类监 管，合理确定监督检查频次、内容、方式以及其他管理措施，建立联合监管和信息共享机制，实现检验 检测违法线索互联、监管标准互通、处理结果互认。条例还要求建立举报奖励制度，明确检验检测机构 的违法违规行为类型，并加大了惩处力度，其中不仅提升了对机构和人员的财产罚上限，还增设对资质 许可条件无法整改满足要求或出具虚假检验检测报告情节严重的机构，由发证机关吊销资质许可证的罚 则。 本报讯(记者陈月飞)9月30日，省十四届人大常委会第十七次会议表决通过了《江苏省检验检测条 例》。这是全国第二部关于检验检测行业的地方立法。 江苏检验检 ...

Core Viewpoint - Jiangsu Yancheng Dongtai has transformed construction waste from an urban issue into a resource for the circular economy, achieving a 90% resource utilization rate of construction waste through comprehensive management practices [1][7]. Group 1: Source Management - Construction waste is now organized in designated areas, improving management efficiency significantly, with 108 property communities covering waste disposal points [3]. - The city has implemented a system where every construction site has a "waste ID," ensuring that all construction waste is properly documented and managed [3]. Group 2: Transportation Control - A digital management platform has been established for 169 dump trucks, allowing for real-time tracking of vehicle routes and waste transport [5]. - Collaborative efforts among police, traffic, and urban management have led to the interception of illegal dumping activities, with 12 cases being strictly dealt with this year [6]. Group 3: End Processing - Construction waste is processed into recycled materials, producing 200 cubic meters of concrete and 70,000 to 100,000 bricks daily, indicating high demand for these recycled building materials [7]. - The city has established a closed-loop system for waste management, with 32,000 tons of waste being repurposed into new materials, contributing to local infrastructure projects [7].

Core Points - The overall safety production situation in China has improved, with a 22.9% decrease in various production safety accidents in the first half of the year [1] - The implementation of the three-year action plan for safety production has led to significant achievements across various regions [2][3] Group 1: Safety Production Measures - The Tianjin Energy Group has enhanced its safety management through a real-time monitoring system that analyzes data for safety assessments [1] - In Tianjin, the government has reformed the gas operating license system to eliminate the "lifetime certificate" policy, effectively addressing the issues of small and scattered enterprises [2] - Zhejiang has established a four-party responsibility system to ensure safety production, involving government, regulatory departments, enterprises, and on-site workers [2] Group 2: Regional Achievements - In Zhejiang, safety production accidents and fatalities decreased by 16.8% and 15.7% respectively in 2024, with the number of major accidents at a historical low [3] - Jiangxi has implemented a series of measures leading to an 8.89% decrease in production safety accidents in 2024, achieving record lows in total accidents and major accidents [4] - The establishment of emergency management stations in towns like Jiangxi's Jiangtang has improved response times and safety awareness among the public [2][3]

Core Viewpoint - The newly revised "Interim Regulations on Express Delivery" will take effect on June 1, focusing on improving the governance of express packaging, aiming for a comprehensive governance approach involving various stakeholders [1][2]. Group 1: Strengthening Corporate Responsibility - The express delivery industry is a crucial part of modern services, with a projected business volume of 1.75 trillion pieces by 2024, maintaining its position as the world's largest for 11 consecutive years [2]. - The revised regulations emphasize the responsibility of express delivery companies in packaging governance, mandating optimization of packaging methods and structures while ensuring safety [2]. - Companies are required to establish and implement recycling management systems for packaging materials, enhancing the recycling rate [2]. Group 2: Promoting Collaborative Governance - The regulations clarify the responsibilities of various stakeholders, including government departments, express companies, industry organizations, and consumers, in the entire lifecycle of packaging [3]. - The establishment of a new governance model is anticipated, characterized by government guidance, corporate accountability, industry self-regulation, and public participation [3]. - Industry organizations are expected to play a significant role in creating green packaging innovation alliances and developing standards for sustainable packaging [3]. Group 3: Enhancing Public Participation - The regulations encourage government and media to conduct educational campaigns to raise public awareness about eco-friendly packaging [4]. - Express companies are incentivized to promote the reuse of packaging through rewards and discounts, highlighting the importance of public involvement in achieving green transformation [4]. Group 4: Improving Governance Standards - The regulations are expected to foster a positive interaction between legal frameworks and standard systems, enhancing the effectiveness of packaging governance [5][6]. - Two mandatory national standards have been established to limit excessive packaging and regulate hazardous substances in packaging materials, contributing to initial successes in packaging governance [6]. - The regulations stipulate penalties for companies that fail to comply with mandatory standards, ensuring accountability and effective implementation [6][7].

Core Viewpoint - The rise of AI-generated "quack doctors" poses significant risks to consumer safety, particularly in the healthcare sector, as these entities can easily deceive the public with fabricated identities and credentials [1][2][3][4] Group 1: AI-Generated Content and Its Implications - AI-generated products, such as "Miao Gu Jin Tie," are marketed as traditional remedies but are often backed by fraudulent claims and identities [1] - The technology allows for the creation of highly realistic images and narratives, making it difficult for consumers to discern authenticity [2] - The potential for misuse of AI in commercial settings raises concerns about false advertising and identity fraud [1][2] Group 2: Regulatory and Supervisory Measures - There is a pressing need for stringent regulations to combat AI-generated medical misinformation, with a focus on preemptive scrutiny of AI-generated content in healthcare [2][3] - Establishing a cross-departmental collaborative supervision mechanism is essential to address the entire supply chain, from fake certification agencies to product manufacturers [3] - Regulatory bodies must adopt a zero-tolerance approach towards AI-generated medical fraud and enhance legal frameworks to hold perpetrators accountable [2][3] Group 3: Technological Solutions and Future Directions - The implementation of AI technologies to detect and counteract AI-generated fraud is crucial, including the development of databases for identifying fake "doctors" [4] - Continuous monitoring of AI technology by platforms and regulatory agencies is necessary to improve detection capabilities and address vulnerabilities [4] - A comprehensive approach that combines technological advancements with regulatory reforms is required to dismantle the profit chains of AI-generated fraud in healthcare [4]