The Functional Signature of Decision Making Across Dyads During a Persuasive Scenario: Hemodynamic fNIRS Coherence Measure by Michela Balconi, Roberta A. Allegretta, Carlotta Acconito, Federica Saquella, Laura Angioletti

“…The study highlights the importance of interactional dynamics in shaping decision outcomes and underscores the potential of fNIRS as a non-invasive tool for monitoring brain activity in clinical and collaborative settings.…”
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Fuzzy Coalition Graphs: A Framework for Understanding Cooperative Dominance in Uncertain Networks by Yongsheng Rao, Srinath Ponnusamy, Sundareswaran Raman, Aysha Khan, Jana Shafi

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Enhancing commit message quality in software capstone projects with generative AI by Andrés Neyem, Agustín Rios-Letelier, Kevin Céspedes-Arancibia, Juan Pablo Sandoval Alcocer, Marcelo Mendoza

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A Systematic Review of Extended Reality (XR) Technologies in Agriculture and Related Sectors (2022–2024) by Maryam Bigonah, Fatemeh Jamshidi, Aparana Pant, Sanjaya Poudel, Sasikiran Reddy Nallapareddy, Atefeh Charmchian Langroudi, Daniela Marghitu

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Analysis of the Interaction of Robots as Part of a Robotic System for Biomaterial Aliquotation by Sergey Khalapyan, Larisa Rybak, Dmitry Malyshev, Vladislav Cherkasov, Vladislav Vorobyev

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TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection by Jiayuan Li, Zhen Wang, Nan Xu, Chuanlei Zhang

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A qualitative study of students’ perspectives on barriers to and challenges in health informatics research in Iran by Hamed Nadri, Heshmatollah Asadi, Nasim Aslani, Ali Garavand

“…Abstract Background Health Informatics (HI) is a crucial field of study that combines computer science, medical science, and information science to develop and produce information systems and software that support healthcare providers. …”
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Natural Products for Drug Discovery in Cognitive Disabilities: Bibliometric Hotspots, Research Trends, Conceptual Framework, and Future Directions by Mohammed Albratty, Maryam Halawi, Ali Mufraih Albarrati

“…Thematic maps and Sankey diagrams revealed the research focus, geographic trends, and collaboration. Alzheimer’s disease dominates the field, alongside topics such as oxidative stress, neuroprotection, and molecular docking. …”
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Using big data to analyze long-haul vs regional-short-haul trips for medium- and heavy-duty vehiclesMendeley Data by Kimberly Collins, Raffi Der Wartanian, Yunfei Hou, Sai Kalyan Ayyagari, Bhavik Pankaj Khatri

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CFD-APSO Co-Optimization for Enhanced Heat Dissipation in a <i>Camellia oleifera</i> Harvester Engine Compartment by Wenfu Tong, Kai Liao, Lefeng Zhou, Haifei Chen, Hong Luo, Jichao Liang

“…To address these heat dissipation challenges, this study proposes a collaborative optimization approach integrating computational fluid dynamics (CFD) simulation with an Adaptive Particle Swarm Optimization (APSO) algorithm. …”
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Roles of health promotion researchers in the planning stages of a global urban health promotion initiative: understandings identified from an interview-based case study by Sophie Meyer, Sophie Meyer, Nathalia González-Jaramillo, Annika Frahsa, Annika Frahsa

“…We used a global initiative to promote governance for health and wellbeing in five cities of different low-and middle-income countries as a case study to analyze senior-level researchers’ understanding of their role within the initiative.MethodsWe conducted a qualitative content analysis, supported by computer-assisted qualitative data analysis software, of verbatim interview transcripts from semi-structured qualitative interviews with the full sample of senior-level health promotion researchers (n = 5) who supported implementation of the initiative.ResultsWe identified three diverging types of local researchers’ roles understandings: (1) active deep involvement in collaborative arrangements, (2) balancing between active involvement and passively supporting, and (3) passively supporting the initiative. …”
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

“…The proposed approach, NHM-HCS (Novel Hadamard Matrix-based Hybrid Compressive Sensing) introduces a collaborative method incorporating data compression, efficient cluster head selection, and optimal routing. …”
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Enhancement of GPU-accelerated smoothed particle hydrodynamics (SPH) method with dynamic parallelism by Liwen Xue, Shenglong Gu, Songdong Shao

“…Compared with the conventional CPU-GPU collaborative framework, the Dynamic Parallelism can enable the dynamic device-side kernel launching and synchronization, effectively mitigate the latency caused by the CPU-GPU communication bottlenecks, thereby boosting the end-to-end computational throughput of SPH solvers. …”
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Climate change and sustainable livelihood in south Asia: A bibliometric analysis by Humood Fahm Albugami, Md Kaikubad Ali, Saddam Hossain, Hanan Zaffar, Naved Ahmad

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Community evolution prediction based on feature change patterns in social networks by Jingyi Ding, Guojing Sun, Tiwen Wang, Licheng Jiao, Junzhao Du, Jianshe Wu, Hongfei Wang, Ruohui Cheng

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A Dynamic and Timely Point-of-Interest Recommendation Based on Spatio-Temporal Influences, Timeliness Feature and Social Relationships by Jun Zhu, Haifeng Lin, Zhinan Gou, Yiqing Xu, Hongying Liu, Ming Tang, Li Wang, Shu Li, Bing Hu

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Pre-Service Teachers’ Perceptions of Their Digital Competencies and Ways to Acquire Those through Their Studies and Self-Organized Learning by Katrin Göltl, Roland Ambros, Dominik Dolezal, Renate Motschnig

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Precision Medicine in Lung Cancer Screening: A Paradigm Shift in Early Detection—Precision Screening for Lung Cancer by Hsin-Hung Chen, Yun-Ju Wu, Fu-Zong Wu

“…This review explores the current landscape and future directions of precision medicine in lung cancer screening, emphasizing the need for interdisciplinary collaboration and population-specific strategies to realize its full potential in reducing the global burden of lung cancer.…”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. Collaboration programs involving clinicians and computer scientists must be aimed at structuring and processing robust datasets that can be used in various settings, from acute to different chronic pain conditions. …”
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Trustworthy Reputation for Federated Learning in O-RAN Using Blockchain and Smart Contracts by Farhana Javed, Josep Mangues-Bafalluy, Engin Zeydan, Luis Blanco

“…This paper proposes a blockchain-enabled framework to enhance trust, transparency, and collaboration in Open Radio Access Network (O-RAN) infrastructures through Federated Learning (FL). …”
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