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【立方招采通】河南艺术中心2487万元音响设备采购项目招标/郸城县中医院发布超1亿元医疗设备采购意向
Sou Hu Cai Jing· 2025-05-09 10:21
5月9日【立方招采通】标讯亮点包括工程建设、医疗药械、商务服务、金融服务等项目。其中:河南艺 术中心设备更新项目音响设备采购项目和郸城县中医院医疗设备购置项目可重点关注。 河南艺术中心设备更新项目音响设备采购项目采购方式为公开招标,项目资金来源为财政资金,本次项 目为河南艺术中心大剧场、小剧场、音乐厅的音响扩声系统、调音系统及话筒系统的改造升级。验收合 格后质保期不少于3年。资格要求:进口产品须提供国内总代理授权书;非授权代理商须提供制造商在 国内总代理的授权书及针对本项目的授权书。本项目不接受联合体投标。 郸城县中医院医疗设备购置项目采购需求为:购置医疗设备61台(套),主要购置设备包括中医康复理 疗设备、直线加速器、CT、彩超、治疗仪、监护仪、呼吸机等,配套建设智慧医院网络系统。预算金 额约1.11亿元,预计采购时间为2025年6月。 项目类型:设备采购 采购单位:河南艺术中心 项目名称:河南艺术中心设备更新项目音响设备采购项目 招标方式:公开招标 预算金额:2487.16万元 项目概况:本次项目为河南艺术中心大剧场、小剧场、音乐厅的音响扩声系统、调音系统及话筒系统的 改造升级,包含但不限于设备的供货、运 ...
十亿分之一克水体污染物,1分钟“揪出”!
Ke Ji Ri Bao· 2025-04-28 22:46
Core Insights - The China Agricultural Academy of Agricultural Quality Standards and Testing Technology Research Institute has developed the world's first intelligent monitoring system for agricultural non-point source pollution, which enables real-time monitoring of high-risk antibiotics and pesticide residues in flowing water bodies [1][2] Group 1: Technological Breakthroughs - The research team led by Cheng Jie has achieved breakthroughs in materials, technology, and equipment to address the challenges of monitoring non-point source pollution, which is characterized by its dispersion, concealment, and complexity [2] - A new type of nano-composite material with molecular recognition and signal enhancement capabilities has been developed, improving stability by over five times compared to traditional adsorbents and significantly enhancing sensing performance [3] - The system can detect three categories of nine pesticides and three categories of ten antibiotics with a sensitivity of nanograms per milliliter (ng/mL), allowing for the detection of pollutants at concentrations as low as one billionth of a gram in one milliliter of water [3] Group 2: Operational Efficiency - The monitoring system can operate continuously for 180 days without human intervention, reducing operational costs by 70% and significantly improving monitoring efficiency [3][4] - In a demonstration project in the Haihe River basin, labor costs were reduced by approximately 60%, while monitoring frequency increased threefold [4] Group 3: Application and Impact - The system has been successfully applied in the Taihu and Haihe River basins, achieving an accuracy rate of over 90% in pollution warnings through real-time data uploads to a cloud platform and GIS technology [5] - The system allows for precise pollution source tracing, aiding management departments in implementing targeted remediation measures [6] - Future enhancements will include the detection of new pollutants such as perfluorinated compounds, endocrine disruptors, and microplastics, expanding the monitoring scope [6]