Workforce Recruitment Through Pre‐Nursing Vocational and Education Training Schemes. A Qualitative Evaluation Through a Social Capital Lens by Marion Waite, Jane Appleton, Kathleen Greenway, Robert Crookston, Sanj Nathoo, Catherine Henshall

“…Limited placement opportunities hindered clinical learning, trainees from non‐traditional backgrounds were underrepresented, and the validity of the academic preparation was unclear. …”
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Measuring attitudes towards ethnic minority patients: the revalidated REMP-3 instrument for graduate healthcare practitioners by Stijn Schelfhout, Robin Vandecasteele, Sara Willems, Eva Derous, Stéphanie De Maesschalck

“…Starting from a robust theoretical underpinning and a rigorous methodological setup, the present study revalidates the EMP-3 instrument for physicians towards the REMP-3 instrument for graduate healthcare practitioners. …”
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Explainable Federated Framework for Enhanced Security and Privacy in Connected Vehicles Against Advanced Persistent Threats by Sudhina Kumar G K, Krishna Prakasha K, Balachandra Muniyal, Muttukrishnan Rajarajan

“…This research proposes a novel Federated Deep Neural Network (FDNN) framework with a privacy-preserving technique to address these concerns. This study presents the key challenges in the APT detection phase and outlines the novel contributions to the body of knowledge. …”
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Evaluating Objective Structured Practical Examination as a Formative Assessment Tool in Biochemistry: A Cross-sectional Study from a Medical College in Telangana, India by Amtul Rahman Amberina, Ravirala Tagore, B Ramya Sree

“…Overall, 124 (98.4%) students reported that the OSPE was a valuable learning experience and supported conducting similar sessions regularly. …”
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Platform Technology for Extended Reality Biofeedback Training Under Operant Conditioning for Functional Limb Weakness: Protocol for the Coproduction of an at-Home Solution (React2H... by Anirban Dutta, Abhijit Das

“… BackgroundFunctional neurological disorder (FND), including functional movement disorders (FMDs), arises from disruptions in the perception-action cycle, where maladaptive cognitive learning processes reduce the sense of agency and motor control. …”
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Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation by Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen

“…Real-time, on-device segmentation of rubber tree powdery mildew is crucial for smart agriculture, yet existing deep learning models often fail to balance accuracy with computational efficiency. …”
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Predicting Suitable Spatial Distribution Areas for Urban Trees Under Climate Change Scenarios Using Species Distribution Models: A Case Study of <i>Michelia chapensis</i> by Chenbin Shen, Xi Chen, Chao Zhou, Lingzi Xu, Mingyi Qian, Hongbo Zhao, Kun Li

“…Climate change has presented considerable challenges in the management of urban forests and trees. …”
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Effective Protection Against Status Epilepticus Caused by Lithium–Pilocarpine: Combination of Midazolam and Lacosamide by Cumaali Demirtas, Metehan Akca, Ugur Aykin, Yunus Emre Surmeneli, Hava Yildirim, Mehmet Yildirim

“…No negative effects were observed in learning and memory in all treatment groups, but it was determined that the motor functions of the animals treated with MDZ + fPHT were impaired compared to both the control group without any treatment and the MDZ group (p < 0.01). …”
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A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero

“…However, directly applying Vision Transformers for image restoration presents serious challenges, including feature extraction between local and global representations. …”
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Tensor RT optimized driver drowsiness detection system using edge device by Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg

“…The system uses transfer learning techniques for implementing CNN model algorithms to analyze live video from the camera module, allowing for real-time detection of driver behavior such as fatigue or distraction. …”
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A survey of essential anatomy from the perspective of anesthesiology, emergency medicine, obstetrics and gynecology, and orthopedics resident physicians by Derek J. Harmon, Mark H. Hankin, James R. Martindale, Iuliana Niculescu, Adrienne Aschmetat, Rachel E. Hanke, Andrew S. Koo, Shannon R. Carpenter, Pamela E. Emmanuel, Catherine M. Pokropek, Ksenia Koltun

“…Abstract Background Recent changes in anatomy curricula in undergraduate medical education (UME), including pedagogical changes and reduced time, pose challenges for foundational learning. Consequently, it is important to ask clinicians what anatomical content is important for their clinical specialty, which when taken collectively, can inform curricular development. …”
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Mastopexia com uso de implantes associados a retalho de músculo peitoral maior: técnica utilizada na Disciplina de Cirurgia Plástica da Unicamp Mastopexy with breast implants and t... by Andrea Boldrin Soares, Fernando Fabrício Franco, Endrigo Torezan Rosim, Brenda Artuzi Renó, Jussara Olivo Pinheiro Alves Hachmann, Marcelo de Campos Guidi, Marco Antonio de Camargo Bueno, Paulo Kharmandayan

“…CONCLUSIONS: Mastopexy with breast implants and the pectoralis major muscle flap technique is easy to perform, with a relatively short learning curve, good reproducibility, and satisfactory long-lasting results.…”
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A data generator for covid-19 patients’ care requirements inside hospitals by Juan A. Marin-Garcia, Angel Ruiz, Maheut Julien, Jose P. Garcia-Sabater

“…This paper presents the generation of a plausible data set related to the needs of COVID-19 patients with severe or critical symptoms. …”
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MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV by Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciaran Eising

“…This challenge has driven significant interest in learning-based approaches for trajectory prediction. …”
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3D Printing‐Based Hydrogel Dressings for Wound Healing by Xuan Zhou, Xunzhou Yu, Tingting You, Baohua Zhao, Lanlan Dong, Can Huang, Xiaoqing Zhou, Malcolm Xing, Wei Qian, Gaoxing Luo

“…Thereafter, the application of multi‐functional 3D printing‐based hydrogel dressings in a variety of wound environments is discussed in depth, including hemostasis, anti‐inflammation, antibacterial, skin appendage regeneration, intelligent monitoring, and machine learning‐assisted therapy. Finally, the challenges and prospects of 3D printing‐based hydrogel dressings for wound healing are presented.…”
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Premises, practices and politics of co-creation for urban sustainability transitions by Niki Frantzeskaki, Marcus Collier, Katharina Hölscher, Idil Gaziulusoy, Alessandro Ossola, Patricia Albulescu, Marcelline Bonneau, Sara Borgstrom, Stuart Connop, Adina Dumitru, Davide Geneletti, Leen Gorissen, Meike Levin-Keitel, Tadhg MacIntyre, Irina Mascinga, Siobhan McQuaid, Samuel Tabory, Timo von Wirth, Paula Vandergert, Peter Vos, Gil Penha-Lopes, Ina Säumel, Thomas Wachtel, Julia Wittmayer

“…We then present key practices and skills required for engaging in and organizing co-creation processes (i.e., how to co-create). …”
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Developing and validation of religious education curriculum in preschool by Zeinab Ashrafi Soltan-Ahmadi, Sadegh Maleki Avarsin, Javad Keyhan, jahangir yari

“…Shamshiri & Nowzari (2018) in presenting the local model of religious education for preschool children emphasized and necessitated the method of grounding by providing practical learning activities for the active participation of children in the process of religious education.…”
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Medicinal plants with neuroprotective potential in East African countries: A systematic review by Ibe Michael Usman, Ekom Monday Etukudo, Elna Owembabazi, Wusa Makena, Augustine Oviosun, Makeri Danladi, Vivian Ojiakor, Patrick Maduabuchi Aja, Emeka Anyanwu, Yanurkis Duranones Rosales, Mario Edgar Fernandez Diaz, Josiah Ifie, Ismahil Adekunle Adeniyi, Ilemobayo Victor Fasogbon, Victor Bassey Archibong

“…Background: The use of plant-derived natural compounds in the management of various human disease conditions has gained lots of attention in recent times; hence, the present study examined medicinal plants with neuroprotective potential in East Africa and their mechanism of action. …”
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Lux: A Generative, Multioutput, Latent-variable Model for Astronomical Data with Noisy Labels by Danny Horta, Adrian M. Price-Whelan, David W. Hogg, Melissa K. Ness, Andrew R. Casey

“…Here we present Lux: a data-driven framework for modeling stellar spectra and labels that addresses prior limitations. …”
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High-resolution mapping of orchard distribution across Italy by Francesco Lodato, Ryan Jayne, Marco Santonico, Maurizio Pollino, Flavio Bellino, Laura De Gara, Bruno Basso

“…Our method, which combines machine learning with Bayesian calibration, has proven effective in identifying more specific crops that are often present in particular regions and therefore underrepresented at the national level. …”
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