[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3668":3,"related-3668":48},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"search_phrases":21,"slug":22,"view_count":15,"doi":23,"paper":24,"created_at":47},3668,"Artificial intelligence and machine learning for organizational and system-level functions in primary health care: A scoping review protocol","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0329426","OBJECTIVE: Primary health care (PHC) is the cornerstone of health systems worldwide, yet faces growing pressures from aging populations, workforce shortages, and constrained resources. While artificial intelligence (AI) and machine learning (ML) are increasingly used for clinical tasks such as diagnostics and decision support, their potential to address organizational and system-level processes remains underexplored. This scoping review maps AI and ML applications targeting non-clinical, organizational, and system-level functions in PHC, examining techniques employed, application purposes, data sources, and implementation maturity, and identifying evidence gaps to inform future research. METHODS: This scoping review will be conducted using the Arksey and O'Malley framework and reported according to PRISMA-ScR. We will search Ovid MEDLINE, EBSCO CINAHL, Ovid Embase, Cochrane Library (Wiley), Ovid PsycINFO, and IEEE Xplore, as well as grey literature sources, from January 2010 to December 2025, with a pre-submission update. Two independent reviewers will screen titles, abstracts, and full texts. Eligible studies include empirical research describing, evaluating, implementing, or developing AI and ML applications at the meso-level (organizational, e.g., care scheduling, population stratification) and macro-level (system-wide, e.g., workforce planning, funding allocation) of PHC. Studies on micro-level clinical applications, non-empirical research, and secondary literature will be excluded. Applications will be classified using a two-layer taxonomy (AI technique family and core algorithm) and mapped to PHC building blocks adapted from WHO operational frameworks. Synthesis will examine technique-building block intersections, application purposes, data sources, implementation maturity, and evidence gaps. The protocol is registered in Open Science Framework (osf.io\u002Fwzj5x). CONCLUSIONS: This review will provide a timely synthesis of AI and ML applications at organizational and system levels of PHC, identifying which building blocks have been addressed, which remain underexplored, and where the field stands in terms of implementation readiness. The findings will inform a targeted research agenda and provide actionable evidence for decision-makers seeking to leverage AI and ML for PHC strengthening.","目的：初级卫生保健（PHC）是全球卫生体系的基石，然而正面临人口老龄化、劳动力短缺和资源受限带来的日益增大的压力。尽管人工智能（AI）和机器学习（ML）越来越多地应用于诊断和决策支持等临床任务，但其在解决组织层面和系统层面流程方面的潜力仍未得到充分探索。本范围综述旨在梳理针对PHC中非临床、组织及系统层面功能的AI和ML应用，考察所采用的技术、应用目的、数据来源和实施成熟度，并识别证据缺口以指导未来研究。方法：本范围综述将采用Arksey和O'Malley框架进行，并按照PRISMA-ScR报告。我们将检索Ovid MEDLINE、EBSCO CINAHL、Ovid Embase、Cochrane Library（Wiley）、Ovid PsycINFO和IEEE Xplore，以及灰色文献来源，检索时间范围为2010年1月至2025年12月，并在投稿前进行更新检索。两名独立评审员将筛选标题、摘要和全文。纳入标准为描述、评估、实施或开发PHC中观层面（组织层面，如照护排程、人群分层）和宏观层面（系统层面，如劳动力规划、资金分配）AI和ML应用的实证研究。微观层面临床应用研究、非实证研究和二次文献将被排除。应用将采用双层分类法（AI技术族和核心算法）进行分类，并映射至改编自WHO操作框架的PHC构建模块。综合分析将考察技术与构建模块的交叉点、应用目的、数据来源、实施成熟度和证据缺口。本方案已在开放科学框架（osf.io\u002Fwzj5x）注册。结论：本综述将对PHC组织和系统层面的AI和ML应用进行及时的综合梳理，识别哪些构建模块已被涉及、哪些仍未被充分探索，以及该领域在实施准备度方面的现状。研究结果将为有针对性的研究议程提供信息，并为寻求利用AI和ML加强PHC的决策者提供可操作的证据。",null,"PLoS ONE","2026-09-25T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该文为基层医疗中AI\u002FML组织与系统层面应用的范围综述方案，属医疗卫生信息化领域，与三农、农业信息化、智慧农业、数字乡村无关，不予入选。",[19],{"name":10,"url":6},[12],[],"Artificialintelligenceandmachinelearning-3668","10.1371\u002Fjournal.pone.0329426",{"doi":23,"openalex_id":25,"authors":26,"venue":10,"cited_by_count":15,"oa_url":38,"card":39,"direction":45,"ingested_from":46},"W7214380247",[27,30,33,35],{"name":28,"orcid":29},"Pablo Gálvez-Hernández","https:\u002F\u002Forcid.org\u002F0000-0002-6268-559X",{"name":31,"orcid":32},"Li‐Anne Audet","https:\u002F\u002Forcid.org\u002F0000-0002-7805-993X",{"name":34,"orcid":9},"Zahra Shakeri",{"name":36,"orcid":37},"Walter P. Wodchis","https:\u002F\u002Forcid.org\u002F0000-0003-2494-7031","https:\u002F\u002Fjournals.plos.org\u002Fplosone\u002Farticle\u002Ffile?id=10.1371\u002Fjournal.pone.0329426&type=printable",{"tldr":40,"method":41,"finding":42,"direction":43,"opportunity":44},"综述方案：梳理AI\u002FML在初级卫生保健组织与系统层面的非临床应用。","遵循Arksey和O'Malley框架与PRISMA-ScR，检索六大数据库及灰","方案将映射AI技术到WHO卫生系统模块，识别证据空白与实施成熟度。","其他","可将该组织\u002F系统层面AI综述框架迁移至农业信息化，研究AI在农业组织与政策层面的应用空白。","农业遥感与作物表型","openalex","2026-09-28T23:30:25.467244Z",{"total":49,"page":50,"page_size":49,"items":51},6,1,[52,83,123,154,194,229],{"id":53,"title":54,"url":55,"summary":56,"summary_zh":57,"content":9,"source_name":58,"source_url":55,"published_at":59,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":60,"sources":62,"tags":64,"search_phrases":65,"slug":66,"view_count":15,"doi":67,"paper":68,"created_at":82},3679,"Development of a Decision Support System for Selecting College Majors Based on an Expert System Using the Forward Chaining Method","https:\u002F\u002Fdoi.org\u002F10.37251\u002Fsynapsi.v1i2.3842","Purpose of the study: This study aims to develop a decision support system for selecting higher education majors based on users' personality characteristics using the RIASEC theory. The study also aims to analyze the software quality in terms of correctness, functionality, usability, and maintainability and to examine the suitability of system recommendations with users' preferred majors. Methodology: This study employed a Research and Development (R&D) approach with the Waterfall software development model. The system was developed using Visual Basic 6.0 and MySQL. RIASEC theory was used as the knowledge base, while decision tree representation and forward chaining were applied for the inference process. Software quality was evaluated through correctness, functionality, usability, and maintainability testing, involving 60 respondents and the Computer System Usability Questionnaire (CSUQ). Main Findings: The developed system achieved an error\u002FKLOC value of 0 and passed all 34 functionality tests with a 100% success rate. Usability obtained an average score of 72 and was categorized as feasible. All three maintainability aspects instrumentation, consistency, and simplicity meet the criteria. Furthermore, 46 of 60 respondents showed at least one preference matching the system recommendation, resulting in a feasibility rate of 76.67%. Novelty\u002FOriginality of this study: The novelty of this study lies in integrating RIASEC personality theory, decision tree knowledge representation, and forward chaining inference into a decision support system for higher education major selection. The study also combines recommendation development with comprehensive software quality evaluation, providing an integrated approach for educational decision support based on personality characteristics.","研究目的：本研究旨在开发一个基于RIASEC理论的决策支持系统，用于根据用户的人格特征选择高等教育专业。本研究还旨在从正确性、功能性、可用性和可维护性方面分析软件质量，并考察系统推荐结果与用户偏好专业之间的适配性。方法：本研究采用研究与开发（R&D）方法，并结合瀑布式软件开发模型。系统使用Visual Basic 6.0和MySQL开发。RIASEC理论被用作知识库，同时采用决策树表示和前向链推理进行推理过程。软件质量通过正确性、功能性、可用性和可维护性测试进行评估，涉及60名受访者，并使用计算机系统可用性问卷（CSUQ）。主要发现：所开发的系统实现了每千行代码0个错误（error\u002FKLOC）的值，并通过了全部34项功能测试，成功率为100%。可用性获得平均分72分，被归类为可行。可维护性的三个方面——可测性、一致性和简单性——均符合标准。此外，60名受访者中有46人至少有一项偏好与系统推荐相匹配，可行性率为76.67%。本研究的创新性\u002F原创性：本研究的创新之处在于将RIASEC人格理论、决策树知识表示和前向链推理整合到一个高等教育专业选择决策支持系统中。本研究还将推荐系统开发与全面的软件质量评估相结合，为基于人格特征的教育决策支持提供了一种集成方法。","SYNAPSI Journal of Information Systems and Informatics Education","2026-09-26T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":61},"该论文研究高校专业选择决策支持系统，与三农、农业信息化、智慧农业等主题无关，不予入选。",[63],{"name":58,"url":55},[12],[],"DevelopmentofaDecisionSupportSystemforSe-3679","10.37251\u002Fsynapsi.v1i2.3842",{"doi":67,"openalex_id":69,"authors":70,"venue":58,"cited_by_count":15,"oa_url":75,"card":76,"direction":81,"ingested_from":46},"W7214436605",[71,73],{"name":72,"orcid":9},"Cahyana",{"name":74,"orcid":9},"Nahrun Hartono","https:\u002F\u002Fcahaya-ic.com\u002Findex.php\u002FSYNAPSI\u002Farticle\u002Fdownload\u002F3842\u002F2220",{"tldr":77,"method":78,"finding":79,"direction":43,"opportunity":80},"开发基于RIASEC性格与正向推理的专家系统，为高校专业选择提供决策支持。","R&D与瀑布模型，Visual Basic 6.0和MySQL，决策树与正向推理","系统功能测试全通过，可用性可行，76.67%用户偏好与推荐匹配。","可将性格-专业匹配框架迁移至农业信息化人才培养或农户技术采纳决策支持。","农业人工智能与决策模型","2026-09-28T23:30:48.352932Z",{"id":84,"title":85,"url":86,"summary":87,"summary_zh":88,"content":9,"source_name":89,"source_url":86,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":90,"sources":92,"tags":94,"search_phrases":95,"slug":96,"view_count":15,"doi":97,"paper":98,"created_at":122},3664,"Development of the Range of Value (ROV) Method Based on Dynamic Weighting for Decision Support Systems","https:\u002F\u002Fdoi.org\u002F10.67449\u002Fjodesma.v1i3.12","Decision-making in complex environments requires an evaluation framework capable of integrating multiple criteria with different levels of importance and performance. This study proposes Dynamic-ROV, a modified Rank Order Value approach designed to evaluate alternatives through data-driven criterion weighting and utility-based assessment. The proposed procedure consists of decision matrix normalization, standard deviation-based criterion weighting, best and worst utility evaluation, final utility calculation, and ranking. The approach was applied to the selection of nine manager candidates using seven evaluation criteria. Its robustness was assessed through 28 sensitivity scenarios involving positive and negative changes in individual criterion weights, while its ranking consistency was further examined against SAW, MOORA, GRA, and SMART. The results show that Candidate M-02 achieves the highest final utility value of 0.3862 and obtains the first rank, whereas Candidate M-08 records the lowest utility value of 0.1179 and ranks ninth. The sensitivity analysis indicates that the principal ranking structure remains stable across all tested scenarios, with M-02 consistently occupying the first position and M-08 remaining in the last position. Comparative evaluation also demonstrates that Dynamic-ROV produces ranking patterns that are broadly consistent with the established MCDM methods. These findings indicate that Dynamic-ROV provides a reliable and stable framework for multi-criteria evaluation while offering a data-oriented mechanism for determining criterion importance and assessing alternative performance. The proposed approach can therefore serve as an alternative decision-support method for selection problems in organizational settings.","复杂环境中的决策需要一个能够整合多个具有不同重要性和表现水平的准则的评价框架。本研究提出Dynamic-ROV，一种改进的排序值（Rank Order Value）方法，旨在通过数据驱动的准则赋权和基于效用的评估来评价备选方案。所提出的流程包括决策矩阵归一化、基于标准差（standard deviation）的准则赋权、最优与最劣效用评估、最终效用计算以及排序。该方法被应用于使用七个评价准则对九名经理候选人进行选拔。其稳健性通过28个敏感性情景进行评估，这些情景涉及单个准则权重的正向和负向变化，同时其排序一致性进一步与SAW、MOORA、GRA和SMART进行了比较检验。结果表明，候选人M-02取得最高最终效用值0.3862并获得第一名，而候选人M-08录得最低效用值0.1179并排名第九。敏感性分析表明，主要排序结构在所有测试情景中保持稳定，M-02始终占据第一位，M-08始终位于最后一位。比较评估还表明，Dynamic-ROV产生的排序模式与已有MCDM方法大体一致。这些发现表明，Dynamic-ROV为多准则评价提供了一个可靠且稳定的框架，同时为确定准则重要性和评估备选方案表现提供了一种面向数据的机制。因此，所提出的方法可作为组织环境中选拔问题的替代性决策支持方法。","Journal of Decision Support Systems and Multi-Criteria Decision Making",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":91},"多准则决策方法论文，与三农、农业信息化、智慧农业等主题无关，不予入选。",[93],{"name":89,"url":86},[12],[],"DevelopmentoftheRangeofValue(ROV)MethodB-3664","10.67449\u002Fjodesma.v1i3.12",{"doi":97,"openalex_id":99,"authors":100,"venue":89,"cited_by_count":15,"oa_url":115,"card":116,"direction":121,"ingested_from":46},"W7214325612",[101,104,107,110,113],{"name":102,"orcid":103},"Erlin Windia Ambarsari","https:\u002F\u002Forcid.org\u002F0000-0002-3489-5821",{"name":105,"orcid":106},"Muhammad Waqas Arshad","https:\u002F\u002Forcid.org\u002F0000-0003-3262-5833",{"name":108,"orcid":109},"Gustian Rama Putra","https:\u002F\u002Forcid.org\u002F0000-0003-1051-4454",{"name":111,"orcid":112},"Yuwan Jumaryadi","https:\u002F\u002Forcid.org\u002F0000-0002-5757-6321",{"name":114,"orcid":9},"Febryo Ponco Sulistyo","https:\u002F\u002Fresearch.pilar.or.id\u002Findex.php\u002Fjodesma\u002Farticle\u002Fdownload\u002F12\u002F25",{"tldr":117,"method":118,"finding":119,"direction":81,"opportunity":120},"提出动态加权ROV多准则决策方法，用于候选人或方案排序评估。","基于标准差赋权与效用评估，用9名候选人7项指标及28种敏感性场景验证。","Dynamic-ROV排序稳定，与SAW、MOORA、GRA、SMART结果一致，M-02最优。","可将Dynamic-ROV迁移至农业技术采纳、农机选型或智慧农业项目优先序评估等场景。","智慧农业 \u002F 农业物联网","2026-09-28T23:30:11.646063Z",{"id":124,"title":125,"url":126,"summary":127,"summary_zh":128,"content":9,"source_name":129,"source_url":126,"published_at":59,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":130,"sources":132,"tags":134,"search_phrases":135,"slug":136,"view_count":15,"doi":137,"paper":138,"created_at":153},3662,"Using Artificial Intelligence Systems to Improve the Performance and Sustainability of Production Processes in The Iraqi Oil and Gas Sector","https:\u002F\u002Fdoi.org\u002F10.26437\u002F4dhk7451","Purpose: The purpose of this study is to analyse the relationship between artificial intelligence (AI) applications and the achievement of sustainability in the Iraqi oil and gas sector by exploring the available opportunities and potential risks associated with adopting intelligent technologies and proposing a roadmap for their effective utilisation. Design\u002FMethodology\u002FApproach: The study adopts a descriptive analytical approach supported by an applied exploratory method. AI is considered the independent variable and is measured through five dimensions: predictive and intelligent analytics systems, predictive maintenance, robotics and autonomous systems, big data analytics, and intelligent decision support systems. Sustainability is the dependent variable and is measured through its environmental, economic, and social dimensions. The study was conducted in 2025 within the Iraqi oil and gas sector, particularly companies operating in Basra Governorate. A total of 165 questionnaires were distributed, of which 151 valid responses were received, representing a response rate of 91.5%. The data were analysed using SPSS through reliability and validity tests and multiple regression analysis. Research Limitation: The study is limited to the Iraqi oil and gas sector, particularly companies operating in Basra Governorate, and the data were collected during 2025. The findings are based on questionnaire responses and may therefore have limited generalizability to other sectors or geographical contexts. Findings: The results indicate a statistically significant relationship between the application of AI technologies and the achievement of sustainability. The findings confirm that AI technologies contribute to improving operational performance while enhancing environmental, economic, and social sustainability within the Iraqi oil and gas sector. Practical Implication: The study recommends establishing an integrated system to periodically and systematically measure the impact of AI technologies on sustainability, enabling organisations to improve operational efficiency and support sustainable development objectives. Social Implication: The adoption of AI technologies can enhance environmental protection, improve workplace safety, and promote sustainable practices that contribute to broader social and economic development within the Iraqi oil and gas sector. Originality\u002FValue: The study contributes to the limited body of research on AI adoption and sustainability in the Iraqi oil and gas sector by examining AI through five technological dimensions and sustainability through its environmental, economic, and social dimensions, providing empirical evidence and a practical roadmap for the effective implementation of AI to support sustainability.","目的：本研究旨在通过探讨采用智能技术所带来的可用机遇与潜在风险，分析人工智能（AI）应用与伊拉克石油和天然气行业实现可持续发展之间的关系，并提出有效利用这些技术的路线图。设计\u002F方法\u002F路径：本研究采用描述性分析方法，并辅以应用探索性方法。人工智能被视为自变量，通过五个维度进行衡量：预测与智能分析系统、预测性维护、机器人技术与自主系统、大数据分析以及智能决策支持系统。可持续发展为因变量，通过其环境、经济和社会维度进行衡量。本研究于2025年在伊拉克石油和天然气行业开展，尤其是巴士拉省运营的企业。共发放165份问卷，回收有效问卷151份，回复率为91.5%。数据通过SPSS进行信效度检验和多元回归分析。研究局限：本研究仅限于伊拉克石油和天然气行业，尤其是巴士拉省运营的企业，数据于2025年收集。研究结果基于问卷回复，因此对其他行业或地理背景的推广性可能有限。研究发现：结果表明，人工智能技术的应用与实现可持续发展之间存在统计上显著的关系。研究结果证实，人工智能技术有助于改善运营绩效，同时增强伊拉克石油和天然气行业的环境、经济和社会可持续性。实践意义：本研究建议建立一个综合系统，定期、系统地衡量人工智能技术对可持续发展的影响，使组织能够提高运营效率并支持可持续发展目标。社会意义：采用人工智能技术可以加强环境保护、改善工作场所安全，并促进可持续实践，从而推动伊拉克石油和天然气行业更广泛的社会和经济发展。原创性\u002F价值：本研究为关于人工智能采用与可持续发展的有限研究文献作出了贡献，尤其是在","African Journal Of Applied Research",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":131},"研究聚焦伊拉克石油天然气行业的AI应用与可持续性，与三农、农业信息化、智慧农业、数字乡村等主题无关，不予入选。",[133],{"name":129,"url":126},[12],[],"UsingArtificialIntelligenceSystemstoImpr-3662","10.26437\u002F4dhk7451",{"doi":137,"openalex_id":139,"authors":140,"venue":129,"cited_by_count":15,"oa_url":147,"card":148,"direction":121,"ingested_from":46},"W7214422695",[141,143,145],{"name":142,"orcid":9},"R. Abduljalil Majeed Al-Hassan",{"name":144,"orcid":9},"M. Jasim Mohammed Alsalman",{"name":146,"orcid":9},"A. Basil Abdulkareem Albasri","https:\u002F\u002Fwww.ajaronline.com\u002Findex.php\u002FAJAR\u002Farticle\u002Fdownload\u002F2185\u002F928",{"tldr":149,"method":150,"finding":151,"direction":43,"opportunity":152},"研究伊拉克油气行业AI应用与可持续发展的关系，并提出实施路线图。","对巴士拉油气企业发放165份问卷，用SPSS做信效度与多元回归分析。","AI应用与可持续发展存在显著正相关，能提升运营绩效及环境、经济、社会可持续性。","可借鉴其AI-可持续性评估框架，迁移到农业场景，构建农业AI应用的综合可持续性评价体系。","2026-09-28T23:30:08.267365Z",{"id":155,"title":156,"url":157,"summary":158,"summary_zh":159,"content":9,"source_name":160,"source_url":157,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":161,"sources":163,"tags":165,"search_phrases":166,"slug":167,"view_count":15,"doi":168,"paper":169,"created_at":193},3629,"4-Dimensional Chess: Acoustic Localisation Reveals Nested Spatio-temporal Strategies in an Arboreal Communication Network","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.09.21.752596","1. Adaptive behavioural strategies require animals to simultaneously navigate social and ecological domains across multiple spatial and temporal scales. Although drones and computer vision have recently transformed the study of wild animal societies, many nocturnal species and those occupying structurally complex habitats remain inaccessible to these approaches, limiting our understanding of behaviour in natural settings. 2. We aimed to determine how behavioural strategies are organised across nested spatial and temporal scales within a wild communication network. 3. We used three-dimensional acoustic localisation and source separation to track individual male Hyperolius sp. A, a nocturnal African reed frog, within a natural rainforest chorus and quantify patterns of site fidelity, movement, spatial organisation, and call-timing interactions. 4. Males exhibited significant site fidelity across nights, while chorus spatial structure varied with local caller density. Within nights, individuals followed a stereotyped behavioural sequence, descending from elevated arboreal refugia before settling into lower calling positions near breeding sites. At finer temporal scales, call-timing interactions varied according to both local competitor density and the proximity of neighbouring rivals. 5. These findings demonstrate that behavioural strategies emerge across nested spatial and temporal scales and that long-term spatial positioning, short-term movement decisions, and moment-to-moment signalling interactions are tightly linked within natural communication networks. More broadly, acoustic localisation provides a powerful framework for studying behaviour in species and habitats that remain difficult to observe using conventional approaches.","1. 适应性行为策略要求动物在多个空间和时间尺度上同时应对社会与生态领域。尽管无人机和计算机视觉近来已改变了野生动物社会的研究，但许多夜行性物种以及栖息于结构复杂生境中的物种仍无法通过这些方法进行研究，这限制了我们对自然环境中行为的理解。2. 我们旨在确定行为策略如何在野生通信网络中以嵌套的空间和时间尺度进行组织。3. 我们利用三维声学定位和声源分离技术，在自然雨林合唱群中追踪雄性Hyperolius sp. A个体——一种夜行性非洲苇蛙，并量化其地点忠诚度、移动、空间组织和鸣叫时序互作模式。4. 雄性在夜间表现出显著的地点忠诚度，而合唱群的空间结构随局部鸣叫者密度而变化。在夜间，个体遵循固定的行为序列，先从高处树栖庇护所下降，然后定居于繁殖地附近的较低鸣叫位置。在更精细的时间尺度上，鸣叫时序互作随局部竞争者密度和邻近竞争对手的接近程度而变化。5. 这些发现表明，行为策略在嵌套的空间和时间尺度上涌现，且长期空间定位、短期移动决策和瞬时信号互作在自然通信网络中紧密关联。更广泛而言，声学定位为研究那些用传统方法难以观察的物种和生境中的行为提供了一个强有力的框架。","bioRxiv (Cold Spring Harbor Laboratory)",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":162},"该论文研究非洲雨林蛙类的声学定位与通讯网络行为，属基础动物行为生态学，与三农、农业信息化、智慧农业等主题无关。",[164],{"name":160,"url":157},[12],[],"4-DimensionalChess:AcousticLocalisationR-3629","10.64898\u002F2026.09.21.752596",{"doi":168,"openalex_id":170,"authors":171,"venue":160,"cited_by_count":15,"oa_url":187,"card":188,"direction":81,"ingested_from":46},"W7214363262",[172,175,178,181,184],{"name":173,"orcid":174},"Edmund W. Basham","https:\u002F\u002Forcid.org\u002F0000-0002-0167-7908",{"name":176,"orcid":177},"Luke C. Larter","https:\u002F\u002Forcid.org\u002F0000-0003-0758-1883",{"name":179,"orcid":180},"Patrick S. Champagne","https:\u002F\u002Forcid.org\u002F0000-0001-9125-8493",{"name":182,"orcid":183},"Douglas L. Jones","https:\u002F\u002Forcid.org\u002F0000-0002-7817-7629",{"name":185,"orcid":186},"Timothy H. Keitt","https:\u002F\u002Forcid.org\u002F0000-0002-4587-1083","https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002Fbiorxiv\u002Fearly\u002F2026\u002F09\u002F25\u002F2026.09.21.752596.full.pdf",{"tldr":189,"method":190,"finding":191,"direction":43,"opportunity":192},"用三维声学定位追踪非洲树蛙，揭示其跨时空尺度的嵌套行为策略。","三维声学定位与声源分离，在自然雨林合唱中追踪个体雄蛙。","雄蛙具夜间位点忠诚，合唱空间结构随密度变化，行为序列与鸣叫时序受竞争密度和邻近对手影响。","将声学定位与物联网结合，用于复杂生境下难观测物种的长期行为监测与生态网络分析。","2026-09-27T23:31:33.043317Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":199,"content":9,"source_name":200,"source_url":197,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":201,"sources":203,"tags":205,"search_phrases":206,"slug":207,"view_count":15,"doi":208,"paper":209,"created_at":228},3624,"USING QUALITY FUNCTION DEPLOYMENT AS A DECISION SUPPORT TOOL IN FOOD PRODUCT QUALITY MANAGEMENT","https:\u002F\u002Fdoi.org\u002F10.24874\u002Fijqr20.03-10","This study examines the application of Quality Function Deployment (QFD) as a structured decision-support framework for environmentally oriented food product development, with particular emphasis on the integration of consumer-derived quality requirements, technical characteristics, and quantitative environmental indicators.Unlike prior QFD applications relying on qualitative environmental proxies, the present study incorporates a simplified cradle-to-gate Life Cycle Assessment (LCA) to provide a more rigorous and quantitatively grounded basis for sustainability-related trade-off analysis.Blind sensory evaluation conducted with a Generation Z consumer panel (n = 100) identified key customer requirementstaste intensity, creaminess, freshness perception, aftertaste, and overall liking which were systematically mapped to controllable technical characteristics within an extended House of Quality (HOQ).The analysis reveals that taste intensity and overall liking are the primary drivers of consumer acceptance across both conventional dairy and plant-based yogurt-type products, with fermentation time emerging as the most strategically significant controllable process parameter.The HOQ correlation structure further exposes critical trade-offs between compositional intensificationparticularly fat contentand carbon footprint reduction objectives, demonstrating the framework's capacity to surface consequential managerial dilemmas.These findings contribute to the quality management and decision sciences literature by extending QFD beyond design-centric applications toward a comprehensive managerial decision-support tool that systematically reconciles consumer satisfaction with sustainability objectives in food product development contexts.","本研究探讨了质量功能展开(QFD)作为面向环境的食品产品开发的结构化决策支持框架的应用，特别强调消费者质量需求、技术特性与定量环境指标三者的整合。与以往依赖定性环境替代指标的QFD应用不同，本研究引入简化的“从摇篮到大门”生命周期评价(LCA)，为可持续性相关的权衡分析提供更为严谨且以定量数据为基础的依据。由Z世代消费者小组(n = 100)进行的盲法感官评价识别出关键顾客需求——味道强度、细腻度、新鲜感、余味和整体喜好度——并将其系统映射至扩展质量屋(HOQ)内可控的技术特性。分析表明，味道强度和整体喜好度是传统乳制品和植物基酸奶类产品中消费者接受度的主要驱动因素，而发酵时间则是最具战略意义的可控工艺参数。质量屋的相关结构进一步揭示了成分强化——尤其是脂肪含量——与碳足迹削减目标之间的关键权衡，表明该框架能够揭示具有重要管理意义的困境。这些发现通过将QFD从以设计为中心的应用拓展为综合性的管理决策支持工具，系统性地协调食品产品开发情境中的消费者满意度与可持续性目标，为质量管理与决策科学文献作出了贡献。","International Journal for Quality Research",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":202},"该论文研究食品产品质量管理中的QFD决策支持方法，与三农、农业信息化、智慧农业等主题无直接关联，不予入选。",[204],{"name":200,"url":197},[12],[],"USINGQUALITYFUNCTIONDEPLOYMENTASADECISIO-3624","10.24874\u002Fijqr20.03-10",{"doi":208,"openalex_id":210,"authors":211,"venue":200,"cited_by_count":15,"oa_url":197,"card":221,"direction":227,"ingested_from":46},"W7214289064",[212,215,218],{"name":213,"orcid":214},"Petronela Švikruhová","https:\u002F\u002Forcid.org\u002F0000-0003-1785-040X",{"name":216,"orcid":217},"Zuzana Kapsdorferová","https:\u002F\u002Forcid.org\u002F0000-0002-4244-5695",{"name":219,"orcid":220},"Dominika Čeryová","https:\u002F\u002Forcid.org\u002F0000-0003-2924-2284",{"tldr":222,"method":223,"finding":224,"direction":225,"opportunity":226},"将QFD结合简化LCA，用于食品产品开发中消费者需求与碳足迹的权衡决策。","扩展质量屋(HOQ)整合盲测感官评价(n=100)与摇篮到大门LCA。","发酵时间是最关键可控参数，脂肪含量与碳减排目标存在显著权衡。","农业绿色发展与碳","可将QFD-LCA框架拓展至更多农产品品类，并引入动态消费者偏好与供应链碳数据。","数字乡村与农业信息化","2026-09-27T23:30:59.335807Z",{"id":230,"title":231,"url":232,"summary":233,"summary_zh":234,"content":9,"source_name":235,"source_url":232,"published_at":236,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":237,"sources":239,"tags":241,"search_phrases":242,"slug":243,"view_count":15,"doi":244,"paper":245,"created_at":258},3559,"Multiscale dynamics and nonlinear associations of ecological quality in the Hangzhou Bay urban agglomeration, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffevo.2026.1955721","Ecological quality change in rapidly urbanizing regions is spatially heterogeneous, but assessments based on a single analytical scale may obscure local changes and alter the apparent factor importance. This study constructed a 2000–2024 Remote Sensing Ecological Index (RSEI) series for the Hangzhou Bay Urban Agglomeration using Google Earth Engine and Landsat imagery. Ecological changes were compared across 1, 3, 5, and 10 km grids and county units with XGBoost–SHAP model fitted to pooled observations from six benchmark years. Mean RSEI showed an early decline followed by sustained recovery, yielding a net increase of 0.0423. High values were concentrated in southwestern forested areas, whereas low values occurred mainly in the northern plain, densely urbanized bay areas, and urban-expansion corridors. The proportion of improved area increased from 75.34% at 1 km to 84.25% at the county scale. During 2015–2020, county-level aggregation increased the stable proportion while reducing the improved proportion, indicating that coarse units can mask opposing local changes. Land-use intensity had the largest relative mean absolute SHAP contribution at all scales (44.59%–55.43%), while the contribution of nighttime light intensity rose with aggregation and reached 20.33% at the county scale. These results demonstrate that ecological-change detection and interpretation of modeled associations are scale dependent, supporting a nested multiscale assessment framework.","快速城市化地区的生态质量变化具有空间异质性，但基于单一分析尺度的评估可能掩盖局部变化并改变因子重要性的表观结果。本研究利用Google Earth Engine和Landsat影像构建了2000—2024年杭州湾城市群遥感生态指数（RSEI）序列。在1、3、5和10 km网格及县级单元上比较了生态变化，并采用XGBoost–SHAP模型对六个基准年的汇总观测数据进行拟合。RSEI均值呈先下降后持续恢复的趋势，净增加0.0423。高值集中在西南部森林地区，低值主要出现在北部平原、高度城市化的湾区及城市扩张廊道。改善面积比例从1 km尺度的75.34%增至县级尺度的84.25%。2015—2020年期间，县级聚合提高了稳定比例而降低了改善比例，表明粗尺度单元可掩盖相反的局部变化。土地利用强度在所有尺度上均具有最大的相对平均绝对SHAP贡献（44.59%—55.43%），而夜间灯光强度的贡献随聚合程度上升，在县级尺度达到20.33%。这些结果表明，生态变化检测和模型关联解释具有尺度依赖性，支持构建嵌套多尺度评估框架。","Frontiers in Ecology and Evolution","2026-09-24T00:00:00Z",{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":238},"该文为杭州湾城市群生态质量遥感评估的生态学论文，与三农、农业信息化、智慧农业、数字乡村等主题无直接关联，不建议进入每日精选。",[240],{"name":235,"url":232},[12],[],"Multiscaledynamicsandnonlinearassociatio-3559","10.3389\u002Ffevo.2026.1955721",{"doi":244,"openalex_id":246,"authors":247,"venue":235,"cited_by_count":15,"oa_url":252,"card":253,"direction":45,"ingested_from":46},"W7214202972",[248,250],{"name":249,"orcid":9},"Zhiyuan Xu",{"name":251,"orcid":9},"Fuyan Ke","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fecology-and-evolution\u002Farticles\u002F10.3389\u002Ffevo.2026.1955721\u002Fpdf",{"tldr":254,"method":255,"finding":256,"direction":45,"opportunity":257},"构建杭州湾城市群2000-2024年RSEI序列，揭示生态质量的多尺度动态与非线性驱动关联。","Google Earth Engine与Landsat构建RSEI，结合XGBo","生态质量先降后升净增0.0423，改善区比例随尺度由75.34%升至84.25%，驱动因子重要性具尺","可将多尺度嵌套框架与非线性归因迁移至农田生态质量评估，探究耕地利用强度与夜间灯光的尺度效应。","2026-09-26T23:30:31.485495Z"]