Role of career factors on marital satisfaction of nurses by Saeedeh Askarian Omran, Farzaneh Sheikholeslami, Rasoul Tabari, Ehsan Kazemnejhad leili, Ezzat Paryad

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YUNet_LLMClaimReport: An Enhanced Automobile Insurance Fraud Detection and Automated Claim Report Generation Using Large Language Models by P. Anand Kumar, S. Sountharrajan

“…The model can be generalized to the Kaggle Car Damage Detection dataset (mAP50: 0.90), providing a scalable solution to insurance processes. The code and sample data are open sourced.…”
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Relationship Between Aggression and Addiction Tendency Among University Students by Merrikh Rounaghi, Sedigheh Pakseresht, Shahla Asiry, Zahra Atrkar Roushan

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The Relationship between Burnout Dimensions and Psychological Symptoms (Depression, Anxiety and Stress) Among Nurses by Seyed Valiollah Mousavi, Maryam Ramezani, Iraj Salehi, Abas Ali Hossein Khanzadeh, Farzaneh Sheikholeslami

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MapSAM: adapting segment anything model for automated feature detection in historical maps by Xue Xia, Daiwei Zhang, Wenxuan Song, Wei Huang, Lorenz Hurni

“…Experimental results show that it adapts well to various features, even when fine-tuned with extremely limited data (e.g. 10 shots). The code is available at https://github.com/Xue-Xia/MapSAM.…”
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A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning by Forrest Corcoran, Christopher E. Parrish, Lori A. Magruder, J. P. Swinski

“…The procedures and source code are publicly available and will enhance the value of the new ICESat‐2 bathymetry data product, ATL24, which is scheduled for release in Fall 2024. …”
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Survival analysis using machine learning in transplantation: a practical introduction by Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas, Fernando Giron-Luque

“…All analyses were supported by step-by-step code to ensure reproducibility. Findings. The RSF model obtained a C-index of 0.774, an IBS of 0.090. …”
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ViPeR: Vision-Based Surgical Phase Recognition by Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Ginnie Jeng, Ashorne Mahenthiran, Kostantinos E. Morris, Harrison L. Love, Chandru P. Sundaram, Kaushik Roy

“…Surgical phase recognition is a critical, yet challenging, problem in computer vision, with significant implications for automated surgical training, intraoperative assistance, and workflow optimization. …”
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Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools by Sergio Aquino-Brítez, Pablo García-Sánchez, Andrés Ortiz, Diego Aquino-Brítez

“…This study analyzes the energy consumption during both training and inference of representative DL architectures, including AlexNet, ResNet18, VGG16, EfficientNet-B3, ConvNeXt-T, and Swin Transformer, trained on the Imagenette dataset using TITAN XP and GTX 1080 GPUs. …”
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Global Health Education in UK Medical Schools (GHEMS) study protocol by Soham Bandyopadhyay, Thomas Shortland, Shavinthi W Wadanamby, Hannah S Thomas, Binay Gurung, Melika Akhbari, Isobel Trout, Rashida Patel, Karisma Sharma, J Edward Fitzgerald, Adrian D Smith

“…Collaborators at each centre will independently code all timetabled global health learning events (compulsory, optional, or pre-elective), conforming to a pre-devised standard framework that will enable description of teaching events in terms of course year, duration, teaching format, and teaching content. …”
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ANALYSIS OF THE LAST CHANGES IN THE LEGISLATION AND FEATURES OF THEIR APPLICATION by A. V. Veselov, V. I. Veselov

“…The composition of expenses of organizations for training employees, recorded for profit tax purposes, has been expanded. …”
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Application of artificial intelligence in triage in emergencies and disasters: a systematic review by Azadeh Tahernejad, Ali Sahebi, Ali Salehi Sahl Abadi, Mehdi Safari

“…The protocol of this study was registered in PROSPERO with the code CRD42023471415. To find relevant studies, the databases PubMed, Scopus and Web of Science (ISI) were searched without a time limit until September 2024. …”
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Enabling data‐driven collaborative and reproducible environmental synthesis science by Julien Brun, Nicholas J. Lyon, Angel Chen, Ingrid Slette, Gabriel De La Rosa, Jennifer E. Caselle, Frank W. Davis, Martha R. Downs

“…Developing reproducible workflows requires the development of code. We describe tools and practices that have been successful in fostering collaborative coding and scaling on remote servers, enabling teams to iterate more efficiently. …”
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Community perceptions of ethics and professionalism of community health workers: a qualitative exploration by Vijayaprasad Gopichandran, Sudharshini Subramaniam, Balasubramanian Palanisamy, Priyadarshini Chidambaram

“…These findings provide useful insights to develop a code of ethics for community health workers and training of community health workers on ethics and professionalism.…”
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Safety of Systems Integrating Fire Protection Equipment – Risks, Gaps, Recommendations by Wojciech Wróblewski, Dorota Seliga

“…It has been found that cybercriminals can use various techniques: denial-of- service (DoS) attacks, man-in-the-middle attacks, remote code execution and social engineering, to disrupt systems. …”
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An evaluation of the ambulatory diagnosis and treatment of seborrheic dermatitis in PWH in a regional healthcare system by David Perez, Seble G. Kassaye, Carly Herbert, Deniz Ozisik, Aniket Kini, Adam Visconti

“…Using a cross-sectional design, we analyzed a random sample of 100 persons 18 years or older with a diagnosis of HIV and more than one visit to a regional primary care or HIV clinician with an ICD code for treatment of seborrheic dermatitis. Results Seborrheic dermatitis was the most common specific inflammatory dermatosis among PWH in the healthcare system. …”
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Multiview 2D/3D image registration in minimally invasive pelvic surgery navigation by Fujiao Ju, Ya Wang, Jingxin Zhao, Mingjie Dong

“…Single-view methods often lack depth information, while multiview approaches typically rely on large-scale training datasets, which may not always be available in clinical scenarios. …”
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Teaching design students machine learning to enhance motivation for learning computational thinking skills by Hung-Hsiang Wang, Chun-Han Ariel Wang

“…Although many design students may have limited experience with programming, incorporating accessible, no-code tools can help them confidently embrace computational methods, unlocking new pathways for creative exploration and innovation. …”
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Synergy-CLIP: Extending CLIP With Multi-Modal Integration for Robust Representation Learning by Sangyeon Cho, Jangyeong Jeon, Mingi Kim, Junyeong Kim

“…These contributions provide a robust foundation for advancing multi-modal representation learning and exploring new research directions. The code is available at <uri>https://github.com/JoSangYeon/Synergy-CLIP</uri>…”
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FEATURES OF THE INDIVIDUAL STYLE OF TRANSLATOR’S PROFESSIONAL ACTIVITY: THE RESULTS OF A SURVEY by Lavnikov Oleh

“…The author describes the procedure of questionnaire development (determining the content of the questionnaire, choosing the right type of questions, determining the number and order of questions) and processing the survey results (assigning a code number to each questionnaire, determining the frequency of each statement on all the questions). …”
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