Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration by Xinyue Hao, Emrah Demir, Daniel Eyers

“…Practically, it offers actionable insights for designing collaborative infrastructures that are both ethically aligned and organizationally resilient. As AI ecosystems grow more complex and decentralized, our findings highlight the need for reflexive governance mechanisms to support adaptive, interpretable, and accountable human–machine decision-making.…”
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Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning by Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Drk Müller

“…This work presents a novel human-in-the-loop control strategy for Internet of Things (IoT)-based TRVs using Deep Reinforcement Learning (DRL). …”
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Integrated Systemic Modeling of Production Scheduling, Maintenance, and Quality Control in Closed-Loop Supply Chains by Javad Rahim, Ali Morovati Sharifabadi, Davood Andalib Ardakani

“…By addressing the interconnected challenges of maintenance, scheduling, and quality control, this research offers a practical and holistic solution for CLSCs, contributing to improved operational resilience, customer satisfaction, and alignment with sustainability objectives. The decision-making process provides valuable insights and confident recommendations for future research.…”
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Upcycling food waste for microalgae cultivation toward lipid production in a closed-loop and system-integrated circular bioeconomy by Guowei Wu, Jun Wei Roy Chong, Kuan Shiong Khoo, Doris Ying Ying Tang, Pau Loke Show

“…To overcome these barriers and facilitate scale-up, this review highlights integrative strategies such as metabolic engineering, automated cultivation systems, and a closed-loop microalgae-based biorefinery. Moreover, life cycle assessment (LCA) is emphasized as a tool to assess environmental performance and inform policy decisions, supporting alignment with Sustainable Development Goals (SDG 12 and SDG 13). …”
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Enhancing transportation agility through neuroadaptive AI and behavioural decision intelligence by Eias Al Humdan

“…This adaptive mechanism ensures that transport platforms evolve toward more human-aligned, context-aware decision-making, enhancing both agility and resilience over time.By advancing this novel, human-centric model, the study extends the agility discourse into the transportation domain, emphasizing the critical link between cognitive awareness, real-time adaptation, and long-term system learning. …”
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The benefits of the dairy value chain to inclusive sustainable development in European highlands: a systems thinking approach by Andrea Ceppatelli, Claudio A. Pozo, Celeste M. Bonnet, Alexandros Siampanopoulos, Mariana Vogg, Peg Strankman, Enrico Sturaro, Jean-François Tourrand, Liz Wedderburn

“…A systems thinking approach was applied to develop a conceptual map (Causal Loop Diagram, CLD) describing the contribution of the dairy value chain to ISDH, through the interpretation of the viewpoints of interviewed actors. …”
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Modeling the Interactions Between Smart Urban Logistics and Urban Access Management: A System Dynamics Perspective by Gaetana Rubino, Domenico Gattuso, Manfred Gronalt

“…At the center, there is a Causal Loop Diagram (CLD) that illustrates dynamic interdependencies among fleet composition, access regulations, logistics productivity, and environmental externalities. …”
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A Comprehensive Survey of Explainable Artificial Intelligence Techniques for Malicious Insider Threat Detection by Khuloud Saeed Alketbi, Abid Mehmood

“…Finally, the survey identifies key directions for future research, including privacy-preserving AI, human-in-the-loop explainability, and the development of benchmarking frameworks tailored to ITD applications. …”
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Survey on multi-agent reinforcement learning methods from the perspective of population by XIANG Fengtao, LUO Junren, GU Xueqiang, SU Jiongming, ZHANG Wanpeng

“…Finally, the frontier research directions were prospected from five aspects: benchmark platform development, two-layer optimization architecture, adversarial strategy learning, human-machine collaborative value alignment and adaptive game decision-making loop, providing reference for the research on relevant frontier key issues of multi-agent reinforcement learning in multimodal environments.…”
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TELOS Feasibility Analysis for Application Development Project using System Dynamics Approach by Sinta Mulyani Dwi Putri, Endang Chumaidiyah, Iphov Kumala Sriwana

“…The model enables proactive identification of critical phases and supports more informed decision-making, improving alignment with organizational objectives and overall project success.   …”
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Application of Artificial Intelligence Large Language Model in Power Equipment Operation and Maintenance by Xiaohong Chen, Wenrun Fu, Chaoming Liu, Zehong Liu, Junpeng Li, Zhiliang Hu, Dongbin Hu

“…To address these challenges, this study combines knowledge graph retrieval-augmented generation, multimodal alignment, fine-tuning and continuous learning, and other big model application optimization techniques to construct an AI-LLM power equipment maintenance system. …”
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Artificial intelligence of things for sustainable smart city brain and digital twin systems: Pioneering Environmental synergies between real-time management and predictive planning by Simon Elias Bibri, Jeffrey Huang

“…Together, they establish a synergistic feedback loop: UB's real-time insights continuously inform UDT's strategic simulations, while UDT's long-range forecasts iteratively refine UB's operational decision-making. …”
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YOLOv8 framework for COVID-19 and pneumonia detection using synthetic image augmentation by Uddin A Hasib, Raihan Md Abu, Jing Yang, Uzair Aslam Bhatti, Chin Soon Ku, Lip Yee Por

“…XAI visualizations (Grad-CAM heatmaps) highlighted anatomically plausible focus areas aligned with clinical markers of COVID-19 and pneumonia, thereby validating the model's decision-making process. …”
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Exploring the integration of medical and preventive chronic disease health management in the context of big data by Yueyang Wang, Yueyang Wang, Ruigang Deng, Xinyu Geng

“…The integration of explainable AI (XAI) and blockchain—secured care pathways enhances clinical decision—making while ensuring GDPR—compliant data governance. …”
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Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications by Jianhua Liu, Jiadi Yu, Minglu Li, Luqun Li, Dazhi Li, Shigen Shen

“…A closed-loop evolutionary game equilibrium is considered to solve the dynamic game. …”
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Comparative analysis of Egypt's malaria elimination strategies and implementation science: Pathways to achieve malaria-free status for other African countries. by Chukwuka Elendu, Dependable C Amaechi, Rhoda C Elendu, Sehajmeet Kaur Saggi, Tochi C Elendu, Emmanuel C Amaechi, Ijeoma D Elendu, Kanishk Dang, Opeyemi P Amosu, Omoyelemi F Idowu, Toluwanimi S Oseni

“…Routine monitoring systems, continuous feedback loops, and responsive adaptation mechanisms were central to achieving these outcomes. …”
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Conscious and Unconscious Gender Bias in Competence Evaluations: Mental Representations of Project Managers by Rocío Poveda-Bautista, Jose Antonio Diego-Mas, Hannia González-Urango, Carmen Corona-Sobrino

“…However, when consciously evaluating specific competences, participants displayed preferences that challenged these biases, suggesting a misaligned relationship between unconscious perceptions and explicit decisions. Unconscious gender bias operates as a hidden variable within the complex system of organizational decision-making, creating feedback loops that reinforce traditional stereotypes. …”
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Air Quality-Driven Traffic Management Using High-Resolution Urban Climate Modeling Coupled with a Large Traffic Simulation by Janek Laudan, Sabine Banzhaf, Basit Khan, Kai Nagel

“…Building on prior work that establishes the coupling of the MATSim traffic model with the PALM-4U urban climate model, this second part focuses on implementing a feedback loop to inform traffic management decisions based on simulated air pollution concentration levels. …”
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Framework for quantitative evaluation of carbon reduction performance in zero-waste industrial parks by LIAO Kailingli, FENG Zeshi, TIAN Jinping, CHEN Lyujun

“…The framework comprised six core steps: determining objectives and scope, establishing waste flow diagrams, selecting disposal technologies, investigating emission levels, identifying carbon reduction performance, and evaluating results with decision support. Additionally, two nested inner loops, measure improvement and emission control, were incorporated to dynamically track synergistic carbon reduction benefits and identify technical pathways for zero-waste park development. …”
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Wide-Field Kerr Microscopy and Magnetometry on Cr₂Ge₂Te₆ Exfoliated van-der-Waals Flakes by Ivan Soldatov, Burak Ozer, Saicharan Aswartham, Sebastian Selter, Louis Veyrat, Bernd Buchner, Rudolf Schafer

“…From the loop character one can indirectly infer on the existence or suppression of band domains, which are the equilibrium patterns above a film thickness of about 7nm. …”
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