Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis by Lijuan Yi, Ting Shuai, Jingjing Zhou, Liang Cheng, Maria F. Jiménez-Herrera, Xu Tian

“…Predictors were selected based on prior literature and theoretical frameworks related to compassion fatigue in nursing. Latent profile analysis was used to classify compassion fatigue levels, and potential predictors were identified through univariate analysis and least absolute shrinkage and selection operator (LASSO) regression. …”
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Epidemiological characteristics of dementia and its correlation with multimorbidity among people aged 65 and above by Sijing Zhou, Bangan Luo, Hui Cao, Xi Zhang, Dongxin Wang

“…Results: Out of the 5,979 individuals sampled, 5,616 completed the survey, with 785 cases (13.98 %) identified with dementia. …”
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Investigation of the pathogenic potential and the possibility of cross-species transmission of H5 avian influenza viruses detected on the territory of the Russian Federation in 201... by Nikolay G. Zinyakov, Alena D. Grekhneva, Artem V. Andriyasov, Evgeniya V. Ovchinnikova, Nelli A. Guseva, Anton A. Kozlov, Zoya B. Nikonova, Pavel D. Zhestkov, Dmitry B. Andreychuk, Ilya A. Chvala

“…Results. Analysis revealed a predominance of viruses with replication complexes adapted to avian cells. …”
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Reproduction and Wing Differentiation of Gynoparae Are Regulated by Juvenile Hormone Signaling in <i>Aphis gossypii</i> by Liuyu Wang, Jingli Lv, Xiangzhen Zhu, Kaixin Zhang, Qingyu Shi, Li Wang, Weihua Ma, Jichao Ji, Junyu Luo, Jinjie Cui

“…After the application JH analog kinoprene to the first instar nymphs, almost all treated individuals failed to complete wing differentiation, and most lost the ability to produce progeny, suggesting the destructive effect of JH on wing differentiation and reproduction of gynoparae. …”
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The Use of Large Language Models for Translating Buddhist Texts from Classical Chinese to Modern English: An Analysis and Evaluation with ChatGPT 4, ERNIE Bot 4, and Gemini Advance... by Xiang Wei

“…The evaluation criteria include word translation accuracy, the ability to recognize and correctly interpret specific meanings within both classical and modern contexts, and the completeness of phrases without omitting or unnecessarily adding words. …”
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Caveolin-1 inhibits the proliferation and invasion of lung adenocarcinoma via EGFR degradation by Jiahui Dong, Ruiping Du, Yani Zhang, Bo Hong, Gengyun Sun

“…Scratch test was used to compare cell migration ability. Transwell assay was used to compare cell invasion ability. …”
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The development and validation of a multi-dimensional medical students’ learning self-efficacy questionnaire for clinical education by Chia-Ter Chao, Jyh-Chong Liang

“…Learning self-efficacy (SE) assesses how learners understand and evaluate their ability to polish their learning process. Learning clinical medicine requires prolonged training, traditionally premised on longitudinal immersion in patient care. …”
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Comparative analysis of the performance of the large language models ChatGPT-3.5, ChatGPT-4 and Open AI-o1 in the field of Programmed Cell Death in myeloma by Wu Kun, Tao Bo, Li Yuntao, Cheng Shenju, Li Yanhong, Luo Shan, Zeng Yun, Nie Bo, Shi Mingxia

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Association between admission inflammatory indicators and 3-year mortality risk in geriatric patients after hip fracture surgery: a retrospective analysis of a prospective cohort s... by Yimin Chen, Yimin Chen, Yimin Chen, Chao Tu, Chao Tu, Chao Tu, Gang Liu, Gang Liu, Gang Liu, Weidong Peng, Weidong Peng, Weidong Peng, Jing Zhang, Jing Zhang, Yufeng Ge, Yufeng Ge, Yufeng Ge, Zhelun Tan, Zhelun Tan, Zhelun Tan, Mingjian Bei, Mingjian Bei, Mingjian Bei, Feng Gao, Feng Gao, Feng Gao, Maoyi Tian, Maoyi Tian, Minghui Yang, Minghui Yang, Minghui Yang, Xinbao Wu, Xinbao Wu, Xinbao Wu

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A longitudinal mixed methods social network analysis to evaluate a peer-led housing program for older men returning from incarceration: Study protocol & pre-implementation results by Brandy F. Henry, Derek A. Kreager, Joy Gray, Kristina Brant, Gary Zajac, Divine Lipscomb, Sarah Brothers, David R. Schaefer, Nicolette Bardele, Andrea Hazelwood

“…Methods We use mixed methods and longitudinal social network analysis to evaluate the program, while also applying implementation science to document program development. …”
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A study of dynamic functional connectivity changes in flight trainees based on a triple network model by Lu Ye¹, Liya Ba¹, Dongfeng Yan¹

“…This enhancement may be relevant to cognitive abilities such as decision-making, memory, and information integration. …”
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Provider advice, pregnant persons’ expectations, and actual gestational weight gain among United States military health care beneficiaries: a secondary analysis of a randomized con... by Erin Solomon, Abby McPhail, Zoran Bursac, Melissa A. Little, G. Wayne Talcott, Rebecca A. Krukowski

“…In this study, we explore the influence of these factors on GWG in a military population in this secondary analysis of data from a randomized controlled trial. …”
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Application of Data Mining Methods in the Design and Creation of New Products and Services by A. A. Bryzgalov, E. V. Yaroshenko

“…The main reason for the research is to show organizations the ability to design and create innovative products.Research methods are empirical in nature, based on the collection and accumulation of data on consumer behavior in the market and their subsequent analysis. …”
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Evaluating associations between patient-to-nurse ratios and mortality, process of care events and vital sign documentation on paediatric wards: a secondary analysis of data from th... by Orsola Gawronski, Corrado Cecchetti, Emanuela Tiozzo, Marta Luisa Ciofi degli Atti, Massimiliano Raponi, Karen Dryden-Palmer, Christopher S Parshuram, George Tomlinson, Immacolata Dall'Oglio, Leah Szadkowski, Ari Robin Joffe

“…Nurses from hospitals with a higher patient-to-nurse ratio had lower ratings for their ability to influence care and reduced documentation of most individual vital signs and of the complete set of vital signs.Conclusions The data from this study challenge the assumption that lower patient-to-nurse ratios will improve the safety of paediatric care in contexts where ratios are low. …”
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Effects of 12&amp;nbsp;weeks of Head-Down Strong Abdominal Breathing Training on Gait and Cognitive Function in Patients with Chronic Obstructive Pulmonary Disease by Song F, Ding K, Sun W, Huang Q, Jiang R, Xiang H, Sun M

“…This study tested whether simple breathing exercises—with or without body position changes—could improve walking ability and cognitive health in people with stable COPD.What did the researchers do?…”
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Radar Waveform Recognition With ConvNeXt and Focal Loss by Liping Luo, Jie Huang, Yang Yang, Dexiu Hu

“…A method of automatic recognition of radar waves based on time-frequency analysis (TFA) and ConvNeXt model is proposed in the paper. …”
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Strategic Data Pattern Visualisation by Carol E. Cuthbert, Noel J. Pearse

“…Data decision-making systems are viewed as a primary resource, while complementary resources are (1) their completeness of vision (i.e., strategy and innovation) and (2) their ability to execute (i.e., operational capabilities). …”
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EFFICIENCY OF AN INDIVIDUAL REHABILITATION PROGRAM FOR PATIENTS WITH RHEUMATOID ARTHRITIS by E V Orlova, D E Karateev, V N Amirdjanova

“…IRP improves functional ability and motion activity (hand grip strength, power, symmetry of movements, load distribution) and quality of life in RA patients immediately after its completion.…”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Thus, the use of modern machine learning methods in economics allows us to obtain accurate forecasts, identify patterns in economic data, and make strategic decisions based on objective analysis.Conclusion. The application of machine learning methods in the national economy offers significant potential for improving economic analysis and decision-making. …”
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What activities do patients hope to perform following anatomic total shoulder arthroplasty but are unable to? Looking beyond patient-reported outcome measures by Alexander E. White, MD, Nicolas Pascual-Leone, MD, Anthony Finocchiaro, BS, Christopher M. Brusalis, MD, David M. Dines, MD, Joshua S. Dines, MD, Andreas Kontaxis, PhD, Samuel A. Taylor, MD, Lawrence V. Gulotta, MD, Michael C. Fu, MD, MHS

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