Being there: A scoping review of grief support training in medical education. by Laura Sikstrom, Riley Saikaly, Genevieve Ferguson, Pamela J Mosher, Sarah Bonato, Sophie Soklaridis

“…Our synthesis of the literature indicates key gaps exist, specifically regarding the limited emphasis on improving physicians' communication skills around death and dying and the limited use of interactive and self-reflexive learning tools. Most trainings also had an overly narrow focus on bereavement grief, rather than a more broadly defined definition of loss.…”
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Enhancement of Latent Inhibition by Chronic Mild Stress in Rats Submitted to Emotional Response Conditioning by Liana Lins Melo, Elenice A. de Moraes Ferrari, Nancy Airoldi Teixeira, Guy Sandner

“…Prior exposure to the tone resulted in a decrease in learning that was greater in stressed animals. The results indicate an increase in latent inhibition induced by chronic mild stress. …”
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The mattering citizen: young adults with mental illness and complex needs’ experiences and perceived opportunities of social inclusion by Silje Nord-Baade, Silje Nord-Baade, Ottar Ness, Michael Rowe, Michael Rowe, Camilla Bergsve Jensen, Anne Landheim, Anne Landheim

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Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…Accurate recognition of emotion is achieved by training in an end-to-end deep learning fashion and taking into account multi-modal fusion. …”
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A Novel Long Short-Term Memory Predicted Algorithm for BDS Short-Term Satellite Clock Offsets by Tailai Wen, Gang Ou, Xiaomei Tang, Pengyu Zhang, Pengcheng Wang

“…To deal with this problem, we proposed a deep learning-based approach for BDS short-term satellite clock offset modeling which utilizes the superiority of Long Short-Term Memory (LSTM) derived from Recurrent Neural Networks (RNN) in time series modeling, and we call it QPLSTM. …”
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Development of a theoretical framework based on the MAPR model for stage-based, individualized mobile smoking cessation interventions through systematic literature review and exper... by Shuilian CHU, Hang JING, Lirong LIANG, Jun LI

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CenterNet-Elite: A Small Object Detection Model for Driving Scenario by Lingling Wang, Xiang Li, Xiaoyan Chen, Bin Zhou

“…With the rapid development of deep learning networks, the accuracy of generic object detection has consistently improved. …”
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Intelligent clustering using moth flame optimizer for vehicular ad hoc networks by Atif Ishtiaq, Sheeraz Ahmed, Muhammad Fahad Khan, Farhan Aadil, Muazzam Maqsood, Salabat Khan

“…Intelligent clustering using moth flame optimization is then proved by relative study with two variants of particle swarm optimization: multiple-objective particle swarm optimization and comprehensive learning particle swarm optimization and a variant of ant colony optimization: ant colony optimization–based clustering algorithm for vehicular ad hoc network. …”
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Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

“…Colorectal cancer, arising from adenomatous polyps, is a leading cause of cancer-related mortality, making early detection and removal crucial for preventing cancer progression. Machine learning is increasingly used to enhance polyp detection during colonoscopy, the gold standard for colorectal cancer screening, despite its operator-dependent miss rates. …”
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Creative-Motivated Citizen Science After-School STEAM Programme for Motivating Actions Related to the Oceanic Microplastics Problem by Tomomi Sayuda, Haruyuki Kinoshita, Fumitoshi Kato, Miles Pennington

“…Our goals are to encourage long-term community cooperation in research, learning about MP issues, and thinking about local solutions through this community participatory CS programme. …”
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Fast 3D Transmission Tower Detection Based on Virtual Views by Liwei Zhou, Jiaying Tan, Jing Fu, Guiwei Shao

“…However, traditional 3D target detection techniques, which involve searching the entire 3D space, are marred by low accuracy and high computational demands. Although deep learning-based 3D target detection methods have significantly improved detection precision, they rely on a large volume of 3D target samples for training and are sensitive to point cloud data density. …”
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Perceptions of Arabic Language Education Students on the Implementation of an Innovative Curriculum | Tashawwurat tullab qism ta'lim al-lughah al-'Arabiyyah hawla tanfidh al-manhaj... by Hizbullah Huda, M. Baihaqi, Ahmad Jundi Al Mubarak, Muh Zaenuri, Habib D, Iis Solihah, Fatihuddin Fatihuddin, Mohammed Islam

“…It turns out that not all students understand the concept of the Independent Learning-Campus Independent Curriculum (innovative curriculum). …”
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From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring by Guerbaoui Mohammed, El Faiz Samira, Ed-Dahhak Abdelali, Lachhab Abdeslam, Benhala Bachir, Bakziz Zakaria, Ichou Ismail, Selmani Abdelouahed

“…Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring.…”
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EXPLORING THE NEXUS BETWEEN WOMEN'S EMPOWERMENT PROGRAMS, EDUCATIONAL ATTAINMENT, AND AGE DIFFERENCES IN POVERTY ALLEVIATION IN NIGERIA by NNANA OKOI OFEM, TIKU ORU TAKIM, TANGBAN EGBE EBAGU, RITA NGOZI OKAFOR

“…Three theories were used to support the study which includes empowerment theory, participatory model and social learning theory. Findings reveals that educational empowerment Impact," underscores how varying educational levels among women significantly influence their participation in and perceived benefits from empowerment initiatives. …”
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Assessment of Student IPEC Competency Using Observer-Based Evaluation in Didactic Interprofessional Education Activities by Jacqueline Zeeman, Kimberly Sanders, Tia Belvin, Philip Rodgers

“…IPE competency requires multiple developmental experiences across diverse educational environments, including didactic and experiential learning. While literature outlines various IPE activities, gaps exist regarding IPE evaluation strategies with most published tools relying on self-evaluation. …”
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Impact of sleep quality on academic achievements of undergraduate medical students: a cross-sectional study from Saudi Arabia by Arwa Khaled, Dalia Almaghaslah, Ayesha Siddiqua, Geetha Kandasamy, Khalid Orayj

“…Sleep is essential for learning and memory consolidation. Good sleep is required for good academic performance. …”
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Data Mining Evidences Variabilities in Glucose and Lipid Metabolism among Fish Strains: A Case Study on Three Genotypes of Gibel Carp Fed by Different Carbohydrate Sources by Xuerong Song, Haokun Liu, Junyan Jin, Dong Han, Xiaoming Zhu, Yunxia Yang, Shouqi Xie

“…The results of the growth and physical responses were analysed by data visualization and unsupervised machine learning. As revealed by a self-organizing map (SOM) and the cluster of growth and biochemical indicators, CASV had superior growth and feed utilization and better regulation of postprandial glucose, followed by CASIII, while Dongting showed a high level of plasma glucose with poor growth performance. …”
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Secondhand Smoke Exposure and Brain Health Indicators in Cuban Preschoolers by Yaser Ramírez Benítez, Miriela Díaz Bringas, Rodneys Mauricio Jiménez-Morales, Ijang Bih Ngyah-Etchutambe, Linda S. Pagani

“…Being neurotoxic, it poses potential risks for child health and learning. In Cuba, there is limited research on the association of secondhand smoke with children’s brain health, especially in vulnerable populations like young children at home. …”
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Neuroprotective Effect of Wharton’s Jelly-Derived Mesenchymal Stem Cell-Conditioned Medium (WJMSC-CM) on Diabetes-Associated Cognitive Impairment by Improving Oxidative Stress, Neu... by Zohre Aghaei, Narges Karbalaei, Mohammad Reza Namavar, Masoud Haghani, Mahboobeh Razmkhah, Mahdi Khorsand Ghaffari, Marzieh Nemati

“…In the current study, we aimed to examine the effects of Wharton’s jelly-derived mesenchymal stem cell-conditioned medium (WJMSC-CM) on learning and memory, oxidative stress, apoptosis, and histological changes in the hippocampus of diabetic rats. …”
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Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models by Syed Mohsin Bokhari, Muhammad Shafi, Fazal Noor, Sarmad Sohaib, Saad Alqahtany, Mark Donnelly

“…The suggested SNN, SCNN, RSNN, and SCLSTM models attained accuracies of 84.35%, 93.04%, 94.68%, 99.76% respectively, exceeding standard machine learning approaches in both precision and recall for identifying expertise levels based on visual attention patterns. …”
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