[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fowTlsl6Gmic3zWrLwM6EpssScaYfsfWDA4guuO-FXI4":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1206,"AI赋能“秒决策” 重庆大学构建智慧校园“数据基因”工程","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">在重庆大学沙坪坝校区、科学城校区，一份牵动数万师生学习工作生活的校区功能调整方案已经生成。过去，这样的重大决策需要各部门耗时数周人工收集碎片化数据，如今管理者输入指令，系统瞬间完成学生分布模拟、资源匹配计算、多方案优化比选——支撑这场效率变革的，正是重庆大学在数字教育领域构建的“数据基因”工程。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">破局：从数据孤岛到“教育DNA”解码\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">当高校普遍陷入数据沉睡、系统割裂的困境，重庆大学创新性提出核心命题：教育数字化转型的钥匙，在于识别数据中蕴含的“教育基因”。通过对教育活动本质的深刻解构，学校系统定义五类核心数据DNA：\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">成果类数据(价值标尺)——学生学习成效、学科发展指标，赋能教育评价改革；\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">管理类数据(决策中枢)——记录招生、教学、科研、人事、资产等教育活动的运行体征，具备实时监测、精准诊断、深度洞察、科学决策等能力；\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">共享类数据(服务纽带)——跨部门流通的安全标准化信息，是打破壁垒、整合服务、提升体验的核心引擎；\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">行为类数据(互动印记)——师生在线学习轨迹与交互热图，赋能教育教学模式创新；\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">资源类数据(能力基石)——课程资源、图书文献、实验设备、软件平台、专家库、场地设施等实体资产，是支撑教育活动开展的核心能量源。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“这不仅是技术分类，更是对教育生命密码的破译。”重庆大学相关负责人介绍，五类DNA如同生命体的不同系统，共同支撑起智慧教育有机体——成果类数据衡量成长价值，管理类数据提升运营质效，共享类数据打通服务壁垒，行为类数据捕捉教学反馈，资源类数据支撑能量供给，以此重构数字化教育的底层逻辑。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">变革：数据治理从“人治”到“智治”的质变飞跃\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">定义了DNA，如何唤醒沉睡的数据？面对126个系统、3万余张数据表的“语义巴别塔”，重庆大学实现突破性进展——构建以“治训用一体”大模型为核心引擎的大数据平台。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">基于此，该校开创性构建AI驱动的数据治理新范式：以“治训用一体”大模型为智能中枢，破解数据库“暗语”，将50万余个晦涩技术字段精准翻译为易懂业务术语，准确率达90%；绘制“数据关系地图”，在庞杂库表中智能重建主外键关联，扫除信息迷宫；构建智能分类体系、智能推荐引擎，将数据目录构建周期从数月压缩至数天，实现跨部门数据分析时效从“天”级缩短至“分钟”级。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">而最直观的变革实践之一，体现在牵动数万师生学习工作生活的校区功能调整中。输入一条调整指令(如“XX学院2024级学生从沙坪坝校区迁至科学城校区”)，系统瞬间启动智能推演引擎。通过“模拟学生分布变化(模拟不同校区功能调整下，两校区学生数量、层次、学院结构的动态迁移)、资源匹配度计算(精准计算校区功能调整后，两校区宿舍等资源的实时余缺)、多方案可视化比选(量化评估资源利用率、承载压力值)”系列预测，让方案制定时效从“数天人工协调”压缩至“分钟级响应”。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">据悉，基于大模型驱动的大数据平台实时汇聚全校数据，每日更新动态，形成“数据全景图”。“过去人工治理如同盲人摸象，现在AI成了‘决策导航仪’。”重庆大学相关负责人表示。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">引领：凝练“治理之问”的方法论输出\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">面对教育数字化转型的深水区，重庆大学的实践远不止于此，而是进一步思考聚焦教育管理场景，如何系统性地构建一个高效、可靠、易用的数据底座？\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">2025年8月，学校发布“教育数据编制30问”，将教育数据治理挑战凝练为聚焦四大维度核心痛点的30个问题。一是从业务出发，问清数据“为什么用”(价值之问)；二是基于数据目录本体设计，形成清晰的数据骨架(结构之问)；三是构建数据治理机制，确保数据管得住、质量好(治理之问)；四是关于技术实现路径，解决“如何落地”的关键挑战(路径之问)。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“它从业务本源出发，为教育数据治理提供了可复制的高校范式。”专家评价，这份“教育数据编制30问”，不仅仅是一份问题清单，更是一份构建未来智慧教育数据基座的行动指南。它清晰地指出教育数据的价值释放，始于清晰定义、科学组织、严格治理和高效落地的数据编目体系。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">从五类“教育DNA”的系统解码，到“治训用一体”AI大模型的智能破壁，再到“教育数据编制30问”的方法论输出，重庆大学的这场“数据基因”工程，远不止于构建一座智慧校园。它正在为数字时代的教育本质，刻写下一套可复制、可进化的“源代码”。当被问及终极目标，相关负责人给出坚定答案：“让每个教育数据细胞都跳动‘立德树人’的生命脉搏”。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】金台资讯  作者晏红霞  \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20250810A051P300\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20250810A051P300\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002F1b3cdfdcf7d447c59f694b7113794064\u002F教育生态.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002F1b3cdfdcf7d447c59f694b7113794064\u002F教育生态.jpg",0,1,222,"2025-08-12 17:14",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aa9b8135b-f961-4a5c-9445-478643844995%3A0.wav?Expires=1754998931&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=LIJoU%2B4HKCvo%2BRG%2BK8Ey6g8dUK8%3D",9332328,"a9b8135b-f961-4a5c-9445-478643844995","2025-08-12 17:03","AI Empowers \"Second-Level Decisions\" - Chongqing University Builds the \"Data Genome\" Project for Smart Campuses","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">In the Shapingba and Science City campuses of Chongqing University, a campus function adjustment plan that affects the learning and work life of tens of thousands of teachers and students has already been generated. In the past, such major decisions required various departments to spend weeks collecting fragmented data manually. Now, when managers input instructions, the system instantly completes student distribution simulation, resource matching calculation, and multi-solution optimization comparison — this efficiency transformation is supported by the \"Data Genome\" project that Chongqing University has built in the field of digital education.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Breaking Through: From Data Islands to \"Educational DNA\" Decoding\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">When universities generally fall into the dilemma of sleeping data and fragmented systems, Chongqing University proposed an innovative core proposition: the key to educational digital transformation lies in identifying the \"educational genes\" hidden in the data. By deeply deconstructing the essence of educational activities, the university systematically defined five types of core data DNA:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Achievement-related data (value benchmark) — student learning outcomes and discipline development indicators, empowering educational evaluation reform;\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Management-related data (decision-making center) — records the operational vital signs of educational activities such as enrollment, teaching, research, personnel, and assets, possessing capabilities for real-time monitoring, precise diagnosis, deep insight, and scientific decision-making;\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Shared data (service bond) — standardized information that flows across departments, which is the core engine for breaking down barriers, integrating services, and enhancing experiences;\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Behavioral data (interactive imprint) — online learning trails and interaction heat maps of teachers and students, empowering innovation in teaching and learning models;\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Resource-related data (capacity cornerstone) — physical assets such as course resources, library literature, experimental equipment, software platforms, expert databases, and venue facilities, which are the core energy source supporting educational activities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“This is not only a technical classification but also a decoding of the life code of education,” said a relevant official from Chongqing University. The five types of DNA are like different systems of a living organism, collectively supporting the intelligent educational organism — achievement-related data measures growth value, management-related data improves operational quality and efficiency, shared data breaks down service barriers, behavioral data captures teaching feedback, and resource-related data supports energy supply, thus redefining the fundamental logic of digital education.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Transformation: A Qualitative Leap from \"Human Governance\" to \"Smart Governance\"\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">After defining the DNA, how to awaken the dormant data? Faced with the \"semantic Babel\" of 126 systems and 30,000 data tables, Chongqing University has made breakthrough progress — building a big data platform centered around the \"Training, Governance, and Application Integration\" large model.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Based on this, the university has pioneered a new paradigm of AI-driven data governance: using the \"Training, Governance, and Application Integration\" large model as the intelligent hub, solving the database's \"code,\" accurately translating over 500,000 obscure technical fields into understandable business terms with an accuracy rate of 90%; drawing a \"data relationship map,\" intelligently reconstructing primary and foreign key associations within complex databases, eliminating the information maze; establishing an intelligent classification system and an intelligent recommendation engine, compressing the data catalog construction cycle from months to days, and shortening cross-departmental data analysis time from \"days\" to \"minutes.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">One of the most direct changes is reflected in the campus function adjustments that affect the learning and work life of tens of thousands of teachers and students. Inputting a single adjustment instruction (such as \"XX College's 2024 students move from Shapingba Campus to Science City Campus\"), the system immediately starts the intelligent simulation engine. Through a series of predictions including simulating changes in student distribution (dynamic migration of student numbers, levels, and college structures under different campus function adjustments), calculating resource matching degrees (real-time surplus and shortage of dormitory resources after the campus function adjustment), and visual multi-solution comparison (quantitative assessment of resource utilization rates and carrying pressure values), it compresses the scheme formulation time from \"several days of manual coordination\" to \"minute-level response.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">According to the information, the big data platform driven by the large model collects the university's data in real time daily, forming a \"data panorama.\" \"In the past, manual governance was like blind men feeling an elephant. Now, AI has become the 'decision navigation system,'\" said a relevant official from Chongqing University.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Leadership: Methodological Output of the \"Governance Question\"\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">Faced with the deep waters of educational digital transformation, Chongqing University's practice goes beyond that, further considering how to systematically build an efficient, reliable, and user-friendly data foundation focusing on educational management scenarios?\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">In August 2025, the university released the \"30 Questions on Educational Data Compilation,\" condensing the challenges of educational data governance into 30 questions focused on four core pain points. First, starting from the business perspective, clarifying the question of \"why use data\" (the value question). Second, based on the design of the data directory ontology, forming a clear data skeleton (the structural question). Third, building a data governance mechanism to ensure that data can be managed and of good quality (the governance question). Fourth, regarding the technical implementation path, solving the key challenge of \"how to implement\" (the path question).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">“It provides a replicable university model for educational data governance, starting from the business origin,” experts commented. This “30 Questions on Educational Data Compilation” is not just a list of questions but also an action guide for building the future smart educational data base. It clearly indicates that the release of educational data value starts with a well-defined, scientifically organized, strictly governed, and efficiently implemented data catalog system.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">From the systematic decoding of the five types of \"educational DNA,\" to the intelligent breakthrough of the \"Training, Governance, and Application Integration\" AI large model, and then to the methodological output of the \"30 Questions on Educational Data Compilation,\" Chongqing University's \"Data Genome\" project is far more than building a smart campus. It is writing a set of replicable and evolving \"source code\" for the essence of education in the digital age. When asked about the ultimate goal, the relevant person gave a firm answer: \"Let every educational data cell beat the life pulse of 'cultivating virtue and nurturing people'.\"\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source] Jintai Information Author Yan Hongxia \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20250810A051P300\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20250810A051P300\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（The website forwards this article to provide readers with more information. The content does not constitute investment or consumption advice. If there are any doubts about the facts of the article, please verify with the relevant parties. The views expressed in the article are not the views of the website and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A58237aa0-ef99-4756-8804-279386c0b10e%3A0.wav?Expires=1774838499&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=6xpVE7ZGzFSBft8k%2FZh%2BjlW2y8M%3D","58237aa0-ef99-4756-8804-279386c0b10e",13800618]