Organizational interventions and strategies for COVID-19 pandemic management in acute care setting: A qualitative interview study with nurse leaders in German hospitals by Maria Zink, Johannes Wendsche, Steffi G. Riedel-Heller, Franziska Jung, Marlen Melzer

“…Participants: The study included 30 nurse leaders from nine different hospitals, representing a diverse sample in terms of hospital characteristics (ownership, hospital size, regional distribution, and level of care) and participant demographics. Methods: Data were collected through semi-structured interviews, transcribed, and analyzed using qualitative content analysis in MAXQDA. …”
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Behavioral tests for the assessment of social hierarchy in mice by Hao Zheng, Dantong Chen, Zilong Zhong, Ziyi Li, Meng Yuan, Zhenkun Zhang, Xiaoping Zhou, Guohui Zhu, Hongwei Sun, Lin Sun

“…Additionally, developments in artificial intelligence and deep learning could enhance individual recognition and behavioral analysis, potentially reducing reliance on chemical markers or implanted devices.…”
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Deciphering Socio-Spatial Integration Governance of Community Regeneration: A Multi-Dimensional Evaluation Using GBDT and MGWR to Address Non-Linear Dynamics and Spatial Heterogene... by Hong Ni, Jiana Liu, Haoran Li, Jinliu Chen, Pengcheng Li, Nan Li

“…These findings recalibrate urban regeneration paradigms, demonstrating that data-driven socio-spatial integration is not a theoretical aspiration but an achievable governance reality.…”
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Piloting the Extension for Community Healthcare Outcomes (ECHO) Pediatric Oncology Telehealth Education Program in Western Kenya: Implementation Study by Tyler Severance, Gilbert Olbara, Festus Njuguna, Martha Kipng'etich, Sandra Lang'at, Maureen Kugo, Jesse Lemmen, Marjorie Treff, Patrick Loehrer, Terry Vik

“…The discussion used dialogue education to promote learning and engagement among participants, with mentorship from the expert team. …”
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Comparative evaluation of hybrid and individual models for predicting soybean yellow mosaic virus incidence by Yunish Khan, Vinod Kumar, Amel Gacem, Anurag Satpathi, Parul Setiya, Kumari Surbhi, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, Ahmad J. Obaidullah, Krishna Kumar Yadav, Ozgur Kisi

“…Specifically, six multivariate models Stepwise Multiple Linear Regression (SMLR), Artificial Neural Networks (ANN), Least Absolute Shrinkage and Selection Operator (LASSO), Ridge Regression (RR), Elastic Net (ELNET), and SMLR_ANN both direct and with Principal Component Analysis (PCA)-were developed using 20 years of data (2001 to 2020) to predict the severity of soybean disease in Pantnagar, Uttarakhand. …”
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Spatiotemporal Variation and Driving Factors of Carbon Sequestration Rate in Terrestrial Ecosystems of Ningxia, China by Yi Zhang, Chunxiao Cheng, Zhihui Wang, Hongxin Hai, Lulu Miao

“…Based on ground observation data and multimodal datasets, the optimal machine learning model (EXT) was used to invert a 30 m high-resolution vegetation and soil carbon density dataset for Ningxia from 2000 to 2023. …”
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“I know your problems; take your bag and go home”: a qualitative study using the social-ecological model to understand drivers of suboptimal school and social participation among s... by Yovitha Sedekia, Saidi Kapiga, Onike Mcharo, John Luwayi, Siwema Keya Sasi, Clare Tanton, Belen Torondel, Jennifer Rubli, Giulia Greco, Philip Ayieko, Elialilia Okello

“…We used NVivo 12 software to code data and employed thematic analysis using the social-ecological model. …”
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Structural Disorder by Octahedral Tilting in Inorganic Halide Perovskites: New Insight with Bayesian Optimization by Jingrui Li, Fang Pan, Guo‐Xu Zhang, Zenghui Liu, Hua Dong, Dawei Wang, Zhuangde Jiang, Wei Ren, Zuo‐Guang Ye, Milica Todorović, Patrick Rinke

“…The rapid convergence of the PES with about 200 DFT data points in 3D searches demonstrates the power of active learning and strategic sampling with Bayesian optimization. …”
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A Mixed-Method Study on the Effectiveness of Using ChatGPT in Academic Writing and Students’ Perceived Experiences by Eka Apriani, Sholihatul Hamidah Daulay, Fitria Aprilia, Abdul Gafur Marzuki, Idi Warsah, Dadan Supardan, Muthmainnah

“…These classes were then assigned to either an experimental group, which received 14 sessions using ChatGPT as a learning tool for academic writing, or a control group, which received 14 sessions using non-generative tools. …”
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Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting by Valeriy Y. Ivanov, Donghui Xu, M. Chase Dwelle, Khachik Sargsyan, Daniel B. Wright, Nikolaos Katopodes, Jongho Kim, Vinh Ngoc Tran, April Warnock, Simone Fatichi, Paolo Burlando, Enrica Caporali, Pedro Restrepo, Brett F. Sanders, Molly M. Chaney, Ana M. B. Nunes, Fernando Nardi, Enrique R. Vivoni, Erkan Istanbulluoglu, Gautam Bisht, Rafael L. Bras

“…This shifts the overwhelming burden of computation to the trivial problem of data storage, and enables forecasting of both flood hazard and its uncertainty at scales that are vital for time‐critical decision‐making before and during extreme events. …”
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THE PLACE OF PROFESSIONAL EDUCATION SYSTEM IN FORMATION OF GRADUATES’ COMPETITIVENESS by G. F. Shafranov-Kutsev, G. Z. Efimova

“…In the course of empirical stage, social questionnaire survey was conducted among the working youth (N=956). Acquired data were processed using the license version of the SPSS programme. …”
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Combating antibiotic resistance using guidelines and enhanced stewardship in Kenya: a protocol for an implementation science approach by Jesse Gitaka, Moses Kamita, Dominic Mureithi, Davies Ndegwa, Moses Masika, Geoffrey Omuse, Moses Ngari, Francis Makokha, Peter Mwaura, Ronald Mathai, Francis Muregi, Matilu Mwau

“…This study, employing an implementation science approach, aims to address the knowledge gap in this area and provide critical data as well as practical experiences when using antibiotic guidelines and stewardship programmes in the public health sector. …”
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Multi-temporal investigation of sand wave migration patterns in the Taiwan Bank through fusion of satellite imagery and deep neural networks by Jiaxin Cui, Xianglong Jin, Xiaowen Luo, Ziyin Wu, Jieqiong Zhou, Jihong Shang, Dineng Zhao, Hongyang Wan

“…Leveraging a Visual Geometry Group neural network algorithm, this research combines limited in situ depth measurements with SAR-derived data to reconstruct high-resolution bathymetry. Analysis of sand wave dynamics from 2012 to 2018, including symmetry coefficient calculations and regional case studies, revealed coherent migration patterns consistent with established theories of shallow-water sand wave dynamics in Taiwanese waters. …”
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Intermittent hypoxemia during hemodialysis: AI-based identification of arterial oxygen saturation saw-tooth pattern by Hanjie Zhang, Andrea Nandorine Ban, Peter Kotanko

“…While 891 (21.9%) segments showed saw-tooth pattern, 3,184 (78.1%) did not. In the test data set, the rate of correct SaO2 pattern classification was 96% with an area under the receiver operating curve of 0.995 (95% CI: 0.993 to 0.998). …”
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Deciphering the causal landscape: genetic insights into sporadic vestibular schwannoma risk factors through Mendelian Randomization by Yuyang Liu, Hui Feng, Hengchao Ma, Jing Li, Yang Yu, Hua Zhao, Xiaoguang Wang, Yun Li, Jun Zhang, Qi Liu

“…Objective This study aims to investigate the causal effects of various genetically predicted risk factors on sporadic vestibular schwannoma utilizing a Two-Sample Mendelian Randomization (MR) approach to enhance understanding of its etiology and inform prevention strategies. Methods Leveraging data from genome-wide association studies (GWAS), we analyzed 29 risk factors across five categories: related diseases, lifestyle habits, nutritional status, learning ability, and laboratory indicators. …”
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Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations by Zyad T. Saleh, Majdi Rababa, Rami A. Elshatarat, Muna Alharbi, Bandar Naffaa Alhumaidi, Majed S. Al-Za’areer, Reem Ahmad Jarrad, Tahany Fareed Al Niarat, Wesam T. Almagharbeh, Khaled Mohammed Al-Sayaghi, Doaa El Sayed Fadila

“…Methods The study surveyed nursing faculty from Jordan and the United States using a self-reported questionnaire. Data were analyzed using descriptive statistics and Multivariate Analysis of Covariance to assess variations in perceptions based on AI chatbot usage frequency and faculty characteristics. …”
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A Benchmark Dataset for Sentinel-2 Based Forest Type Classification in the Siberian Summergreen-Evergreen Forest Transition Zone by Femke van Geffen, Ronny Hansch, Begum Demir, Stefan Kruse, Ulrike Herzschuh, Birgit Heim

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New Diabetes Questionnaire to add patients’ perspectives to diabetes care for adults with type 1 and type 2 diabetes: nationwide cross-sectional study of construct validity assessi... by Unn-Britt Johansson, Sixten Borg, Katarina Eeg-Olofsson, Bo Palaszewski, Maria Svedbo Engström, Soffia Gudbjörnsdottir, Stefan Franzén, Janeth Leksell

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Optimization of thermal efficiency and energy consumption in a hybrid infrared heating technique: Artificial intelligence and computational simulations by Fangfang Liu, Hany S. El-Mesery, Ahmed H. ElMesiry, Mansuur Husein, Amer Ali Mahdi

“…It investigates how varying infrared radiation intensities (1500, 3500, and 5500 W/m²), air temperatures (40, 50, and 60 °C), and airflow rates (0.3, 0.7, and 1.0 m/s) were assessed to optimize drying time, energy usage, thermal efficiency, specific energy consumption, and effective moisture diffusion coefficients. The collected data were analyzed using a self-organizing map and principal component analysis. …”
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Diagnostic Challenges and Patient Safety: The Critical Role of Accuracy – A Systematic Review by Alharbi TAF, Rababa M, Alsuwayl H, Alsubail A, Alenizi WS

“…Technological advancements, including artificial intelligence (AI) and machine learning, were found to significantly enhance diagnostic precision. …”
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