To Be competitive or not to be competitive: How performance goals shape human-AI and human-human collaboration by Spatola Nicolas

“…Performance (compared to control) goals increased reliance on the algorithm over peer assistance by selectively enhancing the perceived usefulness of the algorithm versus human assistance. …”
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University-Industry Collaboration in Dairy and Poultry Sectors of Andhra Pradesh: Status of Stakeholders’ Participation by Mahesh P, SUBRAHMANYESWARI Bodapati, Amol Patil

“…The study underscores the need for universities and industries to enhance collaboration for mutual benefits and the advancement of the livestock sector. …”
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Research on the Evolutionary Pathway of Science–Technology Topic Associations: Discovering Collaborative and Symmetrical Effects by Yin Feng, Zheng Li, Tao Zhang

“…Subsequently, we identified scientific and technological topics and formed science–technology topics to assess their similarity. Then, we selected 3040 pairs of collaborative topic pairs and categorized them into three distinct groups: weak, moderate, and strong correlation. …”
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Collaborative filtering-based Madura Island tourism recommendation system using RecommenderNet by Permana Kurniawan Eka, Rahmat Abdullah Basuki, Wicaksana Dyo Adya, Ardianto Dicky

“…Personalized tourism recommendations in Madura Island are limited, posing challenges for visitors in selecting destinations that match their preferences. …”
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Exploring the influence of collaborative leadership on the effectiveness of school improvement initiatives in Eswatini high schools by Naboth Mudavanhu Phebeni

“…The sample included five principals, five deputy principals, ten teachers, five parents, and two educational officers, purposefully selected to provide varied insights. Key findings reveal that collaborative leadership fosters a culture of accountability, shared vision, innovation, and professional trust among school communities. …”
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Monocular depth estimation via a detail semantic collaborative network for indoor scenes by Wen Song, Xu Cui, Yakun Xie, Guohua Wang, Jiexi Ma

“…Second, a detail‒semantic collaborative structure is established, which establishes a selective attention feature map to extract details and semantic information from feature maps. …”
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Incorporating generative conversational agents into collaborative argumentation: Do different customization strategies matter? by Xin Cui, Zhi-Qiang Ma, Xin-Ya You, Yuchen Chen, Jia-Jia Yao, Yun-Fang Tu

“…Collaborative argumentation allows groups to express, criticize, and integrate arguments to achieve the co-construction of collective knowledge. …”
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Tourism collaborative governance: The views of tourism small and medium-sized enterprises in rural areas by Takalani Ramukumba

“…It is recognised that collaborative governance of­fers better solutions to problems than those fashioned exclu­sively by government agencies. …”
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Advanced oxidation/air flotation collaborative treatment of high-sulfur oilfield produced water by Yue Dong, Zhenyu Wang, Le Zhang, Yabin Jin, Huan Zhang, Lanting Ma, Haijie Hu, Lei Han

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Spatio-Temporal Aware Collaborative Service Ranking Prediction in IoT-Enabled Edge Computing by Yuze Huang, Xiao Chen, Wenhui Zhang, Qianxi Li, He Li

“…With the rapid proliferation of services deployed on edge servers, selecting high quality services from a multitude of functionally similar offerings based on their rankings has become a critical issue. …”
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Smart education in remote areas: collaborative strategies to address challenges in Majene Regency, Indonesia by Sitti Sapiah, St. Maria Ulfah, Aco Nata Saputra, Rudi Hardi

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Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence by Siyang Liu, Nanliang Shan, Xianqiang Bao, Xinghua Xu

“…Unmanned platforms such as unmanned aerial vehicles, unmanned ground vehicles, and autonomous underwater vehicles often face challenges of data, device, and model heterogeneity when performing collaborative data processing tasks. Existing research does not simultaneously address issues from these three aspects. …”
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Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study by Sebastian Daniel Boie, Esther Glastetter, Michael Patrick Lux, Felix Balzer, Christof von Kalle, Christian Lenz, Ulrike Müller

“…After initial screening, we selected 104 medical questions, organized into 7 distinct categories: aftercare, bone health, ductal carcinoma in situ, diagnostics, nutrition and supplements, complementary medicine, and therapy. …”
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Designing a Model for Demand Side Management in Electricity Sector Based on Collaborative Governance by Gholamreza kazemian, Mohammadreza Raecy, Reza Vaezi, Vajollah Ghorbanizadeh

“…These experts were meticulously selected through purposive and snowball sampling methods, and the interviewing process was continued until theoretical saturation was attained. …”
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The radical innovation design comparator to evaluate the effectiveness of design solutions according to usage contexts by Bernard Yannou, Robin Lecomte, François Cluzel

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Selecting learning partners: memory for participation and competence by Oktay Ülker, Daniel Bodemer

“…For instance, in long-term collaborative educational settings, students often need to choose peers for academic support. …”
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Kolaborasi Aktor Pada Penanganan Kekerasan terhadap Perempuan Di Kabupaten Aceh Tamiang by Jayanti Sari, Neni Sriwahyuni, Susniwati

“…Added value is public value, which is the result of efficiency, democracy in institutions, and collaboration processes. There is a deliberation process which is a collaboration that forms mutual learning, building communities and employing interactive. …”
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Gorky and Moscow art theatre: selective affinities by Marie-Christine Autant-Mathieu

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Using the Practical, Robust Implementation and Sustainability Model to identify implementation determinants of a statewide diabetes learning collaborative in Kentucky by Aaron J. Kruse-Diehr, Borsika A. Rabin, Jessica Elliott, Vance Drakeford, Laura Wright, Brent McKune, Russell E. Glasgow, Key C. Douthitt, James W. Keck, Mary E. Lacy

“…These data will be used to refine the collaborative and select responsive implementation strategies to address identified barriers for an upcoming cohort of clinic participants in which we will evaluate this framework as a model for increasing referrals to, and engagement with, DSMES among patients living with diabetes from two healthcare systems in Appalachia Kentucky.…”
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C2F-Net: Coarse-to-Fine Multidrone Collaborative Perception Network for Object Trajectory Prediction by Mingxin Chen, Zhirui Wang, Zhechao Wang, Liangjin Zhao, Peirui Cheng, Hongqi Wang

“…Our approach includes a selective coarse-to-fine feature collaboration module that estimates perception levels of specific areas based on bird's-eye-view features, selectively collaborates on sparse features according to complementary information principles, and achieves efficient spatial feature interaction and fusion. …”
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