Psychological pathways in enterprise participation in university-industry collaboration: how does social cognitive theory explain participation willingness? by Jun Liu

“…This study constructs an analytical framework based on social cognitive theory to systematically examine how multiple cognitive factors and environmental factors influence enterprise decision-making in UIC participation.PurposeTo reveal how observational learning, self-efficacy, outcome expectations, and policy support jointly influence enterprises’ decision-making process in UIC participation, and to explore the moderating role of organizational characteristics in this process.MethodsThrough a questionnaire survey of 300 enterprises in China’s coastal regions, this study employed Structural Equation Modeling (SEM) to analyze the influence mechanisms of observational learning, self-efficacy, outcome expectations, and policy support on enterprises’ willingness to participate in UIC.ResultsThe research found that: (1) observational learning, self-efficacy, and outcome expectations have significant positive impacts on enterprise participation willingness (β = 0.285, 0.312, 0.356, p < 0.001), with outcome expectations showing the strongest direct effect; (2) risk and cost perceptions significantly inhibit participation willingness (β = −0.245, p < 0.001), this indicates enterprises carefully weigh potential benefits against perceived risks when making UIC participation decisions; (3) policy support indirectly promotes participation willingness by enhancing enterprise self-efficacy (β = 0.298, p < 0.001); (4) enterprises’ innovation capabilities and resource endowments positively moderate the relationship between policy support and participation willingness (β = 0.187, p < 0.01).ConclusionThis research extends the application of social cognitive theory in inter-organizational collaboration research, provides empirical evidence for policy design and enterprise practice, and emphasizes the need to enhance UIC effectiveness through capacity building, differentiated policy support, and risk management.…”
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Basic Training in Palliative Medicine for Internal Medicine Residents: Pilot Testing of a Canadian Model in Switzerland by Andreas Samuel Ebneter, Ebru Kaya, Petra Mair, Barbara Affollter, Steffen Eychmueller

“…Objective: To pilot two versions of a PC nonspecialist curriculum for IM residents in Swiss PC units. Methods: In the pilot phase, two curricula—short immersion (3–10 weeks, based on the University of Toronto's Internal-Medicine PC Rotation) and standard nonspecialist (11–18 weeks, based on the Canadian Society of Palliative Care Physician Competencies)—were assessed using a mixed-method online survey. …”
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The data mining and high-performance network model of tourism electronic word of mouth for analysis of factors influencing tourists’ purchasing behavior by Wei Chen

“…Abstract This study establishes a deep learning model for personalized travel recommendations based on factors that affect tourists’ purchases to provide users with more accurate and personalized travel recommendations. …”
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Interprofessional education in geriatric medicine: towards best practice. A controlled before–after study of medical and nursing students by Sanja Thompson, Kiloran Metcalfe, Katy Boncey, Clair Merriman, Lorna Catherine Flynn, Gaggandeep Singh Alg, Harriet Bothwell, Carol Forde-Johnston, Elizabeth Puffett, Caroline Hardy, Liz Wright, James Beale

“…Objectives To investigate nursing and medical students’ readiness for interprofessional learning before and after implementing geriatric interprofessional education (IPE), based on problem-based learning (PBL) case scenarios. …”
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A Radio Frequency Interference Screening Framework—From Quick-Look Detection Using Statistics-Assisted Network to Raw Echo Tracing by Jiayuan Shen, Bing Han, Yang Li, Zongxu Pan, Di Yin, Yugang Feng, Guangzuo Li

“…Meanwhile, current deep learning-based algorithms are often unable to locate the range of RFI coverage in the azimuth direction. …”
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Customer Experience towards the Product during a Coronavirus Outbreak by Sobia Wassan, Tian Shen, Chen Xi, Kamal Gulati, Danish Vasan, Beenish Suhail

“…It introduces a deep-based learning method called DSC (deep sentiment classifier) to determine whether or not to recommend the reviewed product thoroughly. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…The results of this study suggest that the performance of MLP-based models is positively correlated with the number of parameters. …”
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Detecting Misinformation: Identifying False News Spread by Political Leaders in the Global South by Valerie Wirtschafter, Frederico Batista Pereira, Natália Bueno, Nara Pavão, Jo˜ao Pedro Oliveira dos Santos, Felipe Nunes

“… We provide and examine an approach for detecting false stories that circulate as text and without hyperlinks, which are commonly found in the Global South. Our text-based approach relies on a combination of false stories identified by fact-checkers, supervised learning methods, natural language processing, and human review. …”
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Enhanced mask R-CNN for luminaire detection through brightness balancing and distribution-guided optimization in tunnels by Xiaoqiong Qin, Bintao Xu, Chenchen Wang, Lirui Liu, Linfu Xie, Rong Liu, Mingwei Hu, Xiangsheng Chen

“…Luminaire detection methods based on deep learning encounter challenges in tunnel luminaire detection due to the complex environment and unfavorable lighting conditions. …”
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DREAM3: network inference using dynamic context likelihood of relatedness and the inferelator. by Aviv Madar, Alex Greenfield, Eric Vanden-Eijnden, Richard Bonneau

“…Methods that learn regulatory associations based on unit-less metrics, such as Mutual Information, are attractive in that they scale well and reduce the number of free parameters (model complexity) per interaction to a minimum. …”
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A Small Group Interview Evaluating the Impact of a Widening Access Programme on Student Confidence and Their Medical School Applications by Ryan B, Haque E, Leggett A, Aamir S, Rashid S, Belgamwar S

“…This study examined Lancashire Access Medics: a widening participation programme in the North-West of England led by junior doctors and medical students for Year 12 and Year 13 pupils.Materials and Methods: The programme used an outcome-based curriculum with regular online group and individual sessions to support pupils. …”
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Development of a Virtual Pediatric Telemedicine Training Program by Joanne Murren-Boezem, Cynthia M. Zettler-Greeley, Andrea Ali-Panzarella, Patricia Solo-Josephson

“…Exposure to various teaching methods, one-on-one time with attending physicians, and exposure to telemedicine clinical guidelines resulted in positive overall experiences. …”
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MODEL PEMBELAJARAN SAINS BERBASIS PROSES KREATIF-INKUIRI UNTUK MENINGKATKAN BERPIKIR KREATIF DAN PEMAHAMAN KONSEP SISWA SMP by M. B. Panjaitan, M. Nur, B. Jatmiko

“…Students’ responds in learning material implementation are very positive. …”
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Videomängude disain noortele täiskasvanutele. Psühholoogilise heaolu edendamine koosloome kaudu / Participatory Video Game Design for Young Adults: Enhancing Psychological Well-bei... by Taavi Varm

“…The methodology combines art-based action research, participatory design, and metacognitive learning into an integrated framework that enables safe, collaborative and meaningful exploration of mental health themes. …”
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Developing Students' Research Skills Through Field Work by Mussakhan Ryskul, Borankulova Dina, Bülent Aksoy, Issakov Yerlan, Aliaskarov Duman, Nurbol Ussenov

“…These results provide a foundation for refining fieldwork-based instructional methods, contributing to both theoretical advancements in geography education and practical improvements in teaching approaches. …”
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Diabetes Education Program for Nursing Students: A Systematic Review and Meta‐Analysis by Jeong‐Ah Ahn, Eun‐Mi Kim, Jung Eun Lee, Kyoung‐A Kim

“…Despite this, technology‐based methods demonstrated favourable effects on knowledge and self‐efficacy against traditional education. …”
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A Technical Note on AI-Driven Archaeological Object Detection in Airborne LiDAR Derivative Data, with CNN as the Leading Technique by Reyhaneh Zeynali, Emanuele Mandanici, Gabriele Bitelli

“…The review highlights the transformative potential of these approaches, revealing their capability to automate feature detection and classification, thus enhancing efficiency and accuracy in archaeological research. CNN-based methods, employed in 32 of the reviewed studies, consistently demonstrate high accuracy across diverse archaeological features. …”
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Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

“…This study conducts an in-depth literature review analysis of FCD in the transportation field based on the Web of Science (WOS) database from 2000 to 2023, employing bibliometric methods and knowledge graph technologies. …”
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Emergency Department Slit Lamp Interdisciplinary Training Via Longitudinal Assessment in Medical Practice by Samara Hamou, Shayan Ghiaee, Christine Chung, Maureen Lloyd, Kelly Khem, Xiao Chi Zhang

“…While emergency physicians (EP) should diagnose and treat these ophthalmologic emergencies, many trainees report limited ocular exposure and insufficient training throughout their residency to confidently conduct a thorough slit-lamp exam. Methods: We created an interdisciplinary, simulation-based mastery learning (SBML) curriculum to teach emergency attending physicians how to operate the slit lamp with multimodal learning methodology at a tertiary academic center. …”
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Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence by David Peiris, James O'Donovan, Niall Winters, Shobhana Nagraj, Laurenz Langer, Promise Nduku, James Robson, Pallab Maulik, Chris Paton

“…Introduction This paper maps the evidence published between 2000 and 2018 on the use of mobile technologies to train community health workers (CHWs) in low- and middle-income countries (LMICs) across nine areas of global healthcare, including the neglected areas of disability and mental health.Methods We used an evidence mapping methodology, based on systematic review guidelines, to systematically and transparently assess the available evidence-base. …”
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