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Showing 301 - 320 results of 3,247 for search 'collaborative selection', query time: 0.12s Refine Results
  1. 301

    The Role of Digital Opinion Leaders in Dengue Prevention Through Health Promotion and Public Health Collaboration: Qualitative Semistructured Interview Study by Andrew Green, Shishi Wu, Alberta Di Pasquale, Tikki Pang

    Published 2025-04-01
    “…They were selected based on their active online presence, dissemination of dengue-related content, and substantial social media followings. …”
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    Article
  2. 302

    An exploration of faculty perspectives towards interprofessional education and collaborative practice during international electives in health professions training institutions in... by Faith Nawagi, Ian Guyton Munabi, Andre Vyt, Sarah Kiguli, Aloysius Gonzaga Mubuuke

    Published 2023-10-01
    “…However, in Africa, there is limited literature on these perspectives on interprofessional education and collaborative practice (IPECP) during IEs. Therefore, this study explored faculty perspectives toward IPECP within an international elective context from selected African institutions…”
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    Article
  3. 303
  4. 304

    Playful Computational Thinking Learning in and Beyond Early Childhood Classrooms: Insights from Collaborative Action Research of Two Teacher-Researchers by Grace Yaxin Xing, Alice Grace Cady, X. Christine Wang

    Published 2025-07-01
    “…To address this gap, we conducted a collaborative action research project and asked these two questions: (1) How can teachers effectively prepare and design a playful learning CT program using tangible CT toys? …”
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    Article
  5. 305

    Microscopic-Level Collaborative Optimization Framework for Integrated Arrival-Departure and Surface Operations: Integrated Runway and Taxiway Aircraft Sequencing and Scheduling by Chaoyu Xia, Yi Wen, Minghua Hu, Hanbing Yan, Changbo Hou, Weidong Liu

    Published 2024-12-01
    “…This paper investigates the microscopic-level collaborative optimization framework for IADS operations, i.e., the problem of coordinating aircraft scheduling on runways and taxiways. …”
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    Article
  6. 306
  7. 307

    Patient and public involvement in research: a survey on experience, opinions and training needs of gynecologic oncologists in two collaborative groups in Italy by Cinzia Colombo, Pasquale Paletta, Antonella Savarese, Sandro Pignata, Paola Mosconi, Elena Biagioli

    Published 2025-03-01
    “…This survey aimed to investigate opinions, experience and training needs on Patient and Public Involvement (PPI) of clinicians and nurses from two Italian collaborative groups in gynecologic oncology research. …”
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    Article
  8. 308

    Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study by Yi Xie, Yi Xie, Xinmeng Wang, Huiwen Yang, Huiwen Yang, Jiayao Zhang, Honglin Wang, Zineng Yan, Jiaming Yang, Zhiyuan Yan, Zhiwei Hao, Pengran Liu, Yijie Kuang, Zhewei Ye, Zhewei Ye

    Published 2025-07-01
    “…Swarm learning (SL), a decentralized machine learning framework, addresses these limitations by enabling collaborative model training through secure parameter aggregation while preserving data locality. …”
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    Article
  9. 309

    Transdisciplinarity: an imperative for information behaviour research by Sarah Polkinghorne, Paul Bowell, Lisa M. Given

    Published 2024-06-01
    “…Information behaviour research can be enriched by the concept of transdisciplinarity — a collaborative approach addressing complex societal problems, with actionable research outcomes. …”
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    Article
  10. 310
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  12. 312

    Human Factors Influencing the Implementation of Cobots in High Volume Distribution Centres by Wim Lambrechts, Jessica S. Klaver, Lennart Koudijzer, Janjaap Semeijn

    Published 2021-05-01
    “…In this study, we investigate implementation processes of collaborative order picking robots (cobots) and focus on the influence of human factors on their implementation in high volume distribution centres. …”
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  13. 313
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  15. 315

    Mapping cropland in Yunnan Province during 1990–2020 using multi-source remote sensing data with the Google Earth Engine Platform by Meiqi Wang, Liang Huang, Bo-Hui Tang, You Yu, Zixuan Zhang, Qiang Wu, Jiapei Cheng

    Published 2024-01-01
    “…First, a multiresolution collaborative sample selection method was proposed and sample labels with resolutions better than 30 m from 1990 to 2015 were obtained. …”
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    Article
  16. 316

    A Guide to Selecting Participatory Research Methods Based on Project and Partnership Goals by Stephanie R. Duea, Emily B. Zimmerman, Lisa M. Vaughn, Sónia Dias, Janet Harris

    Published 2022-05-01
    “…This article provides an overview for selecting participatory research methods based on project and partnerships goals.…”
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    Article
  17. 317

    Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi

    Published 2025-07-01
    “…Emphasizing the importance of interdisciplinary collaboration, the study underscores the potential of feature selection in transformative applications such as personalized medicine, cancer diagnosis, and drug discovery. …”
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    Article
  18. 318

    Performance Analysis of Relay Subset Selection for Amplify-and-Forward Cognitive Relay Networks by Kiran Sultan, Ijaz Mansoor Qureshi, Aqdas Naveed Malik, Muhammad Zubair

    Published 2014-01-01
    “…The effectiveness of relay subset selection is shown through simulation results.…”
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    Article
  19. 319

    Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

    Published 2021-05-01
    “…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
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    Article
  20. 320

    Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

    Published 2021-05-01
    “…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
    Get full text
    Article