Factors related to professional commitment of nursing students: a systematic review and thematic synthesis by Hengxi Chen, Yali Chen, Ai Zheng, Xin Tan, Ling Han

“…The studies were quality assessed using Non-Randomized Studies (RoBANS), the JBI Critical Appraisal Checklist, the Newcastle–Ottawa Scale (NOS), Mixed-Method Appraisal Tool (MMAT), and data were analyzed using thematic analysis. A thematic synthesis was performed to identify descriptive themes across all included studies. …”
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge by Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller, Patrick Foley, Alejandro Aristizabal, David Zimmerer, Alexey Gruzdev, Jason Martin, Russell T. Shinohara, Annika Reinke, Fabian Isensee, Santhosh Parampottupadam, Kaushal Parekh, Ralf Floca, Hasan Kassem, Bhakti Baheti, Siddhesh Thakur, Verena Chung, Kaisar Kushibar, Karim Lekadir, Meirui Jiang, Youtan Yin, Hongzheng Yang, Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng, Xiaofan Zhang, Shaoting Zhang, Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Benedikt Wiestler, Himashi Peiris, Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Munawar Hayat, Gary Egan, Mehrtash Harandi, Ece Isik Polat, Gorkem Polat, Altan Kocyigit, Alptekin Temizel, Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils D. Forkert, Pauline Mouches, Matthias Wilms, Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar, Rohit Kalla, Vikas Kumar Anand, Ganapathy Krishnamurthi, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Divya Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph Maldjian, Gaurav Singh, Jianxun Ren, Wei Zhang, Ning An, Qingyu Hu, Youjia Zhang, Ying Zhou, Vasilis Siomos, Giacomo Tarroni, Jonathan Passerrat-Palmbach, Ambrish Rawat, Giulio Zizzo, Swanand Ravindra Kadhe, Jonathan P. Epperlein, Stefano Braghin, Yuan Wang, Renuga Kanagavelu, Qingsong Wei, Yechao Yang, Yong Liu, Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa, Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan, Agus S. Akbar, Ekaterina Kondrateva, Hua Yang, Zhaopei Li, Hung-Yu Wu, Johannes Roth, Camillo Saueressig, Alexandre Milesi, Quoc D. Nguyen, Nathan J. Gruenhagen, Tsung-Ming Huang, Jun Ma, Har Shwinder H. Singh, Nai-Yu Pan, Dingwen Zhang, Ramy A. Zeineldin, Michal Futrega, Yading Yuan, Gian Marco Conte, Xue Feng, Quan D. Pham, Yong Xia, Zhifan Jiang, Huan Minh Luu, Mariia Dobko, Alexandre Carré, Bair Tuchinov, Hassan Mohy-ud-Din, Saruar Alam, Anup Singh, Nameeta Shah, Weichung Wang, Chiharu Sako, Michel Bilello, Satyam Ghodasara, Suyash Mohan, Christos Davatzikos, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Christopher Hess, John Mongan, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, Raymond Y. Huang, Ken Chang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Ker^kovský, Tereza Kopr^ivová, Marek Dostál, Václav Vybíhal, Marco C. Pinho, James Holcomb, Marie Metz, Rajan Jain, Matthew D. Lee, Yvonne W. Lui, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Rivka R. Colen, Aikaterini Kotrotsou, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Martin Bendszus, Wolfgang Wick, Abhishek Mahajan, Carmen Balaña, Jaume Capellades, Josep Puig, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Hassan F. Shaykh, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, John Garrett, Matthew Larson, Robert Jeraj, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Bing Luo, Laila M. Poisson, Ning Wen, Martin Vallières, Mahdi Ait Lhaj Loutfi, David Fortin, Martin Lepage, Fanny Morón, Jacob Mandel, Gaurav Shukla, Spencer Liem, Gregory S. Alexandre, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Godwin Ogbole, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu Hikima, Mayowa Soneye, Farouk Dako, Adeleye Dorcas, Derrick Murcia, Eric Fu, Rourke Haas, John A. Thompson, David Ryan Ormond, Stuart Currie, Kavi Fatania, Russell Frood, Amber L. Simpson, Jacob J. Peoples, Ricky Hu, Danielle Cutler, Fabio Y. Moraes, Anh Tran, Mohammad Hamghalam, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Lisa Cimino, Cynthia Price, Brian Bialecki, Sailaja Marella, Charles Apgar, Andras Jakab, Marc-André Weber, Errol Colak, Jens Kleesiek, John B. Freymann, Justin S. Kirby, Lena Maier-Hein, Jake Albrecht, Peter Mattson, Alexandros Karargyris, Prashant Shah, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas

“…Abstract Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. …”
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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots by Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya

“…ChatGPT, an AI-based chatbot, offers coherent and useful replies based on analysis of large volumes of data. In this article, leading academics, scientists, distinguish researchers and engineers discuss the transformative effects of ChatGPT on modern education. …”
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Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

“…A wide array of predictive modeling techniques have been meticulously investigated, spanning from conventional statistical methodologies to more sophisticated machine learning algorithms. The primary focus of this research endeavor revolves around the predictive analysis of the Tehran Stock Exchange (TSE) Composite Index, wherein a novel hybrid neural network framework is employed. …”
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Intra action review of the cholera outbreak response in Kadoma city, Zimbabwe, 2024 by Clayton Munemo, Chido Zibanayi, Hamilton Gomba, Precious Banda, Sarah Tengawarima, Sikhanyisiwe Moyo, Daniel Chirundu

“…These included the use of the IMS to provide structured coordination, marking the first activation of all five core IMS functions for a cholera outbreak response in Kadoma. Daily analysis of surveillance data which supported informed decision-making. …”
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Biological heart and brain ageing in subjects with cardiovascular diseases by Elizabeth Mcavoy, Elizabeth Mcavoy, Elizabeth Mcavoy, Matthias Wilms, Matthias Wilms, Matthias Wilms, Matthias Wilms, Matthias Wilms, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

“…This dataset included 7,500 healthy females and 6,684 healthy males. The data from healthy subjects was used to train biological brain age prediction machine learning models. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…This study provides a scientific basis for high throughput and rapid prediction of unknown pollutants, data mining, nontargeted screening, etc.…”
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Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System by Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu

“…Reservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. …”
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Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

“…Our analysis reveals significant advancements in ET modelling through SIF partitioning. …”
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In-Season Automated Mapping of Xinjiang Cotton Based on Cumulative Spectral and Phenological Characteristics by Yongsheng Huang, Yaozhong Pan, Yu Zhu, Xiufang Zhu, Xingsheng Xia, Qiong Chen, Jufang Hu, Hongyan Che, Xuechang Zheng, Lingang Wang

“…Methods based on machine learning, and deep learning, rely on a large number of training samples, which is time-consuming and laborious. …”
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Incidentes críticos en el prácticum de estudiantes de Pedagogía en Educación Física: estudio cualitativo (Critical incidents in the practicum of Physical Education Pedagogy student... by Felipe Nicolás Mujica Johnson, Pablo Gajardo Cáceres, Angel Osorio González, Claudia Salas Salazar

“…Thirty-four Physical Education Pedagogy students from a private university in the Metropolitan Region of Chile participated. The data were collected with an anecdotal record by means of a portfolio and subjected to an inductive content analysis in the Atlas.ti 22 program. …”
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Addictive behaviour of adolescents and young men in the education system: Review of psychological and pedagogical research by S. A. Minyurova, O. V. Kruzhkova, I. V. Vorobyeva, A. I. Matveeva

“…In addition, difficulties in learning and interacting with other subjects of the educational environment may (among other things) be a factor stimulating the emergence of addictive behaviour as a form of care or compensation. …”
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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…Orchard inspection robots collect real-time data on tree growth and pest status, which is uploaded to the cloud for analysis by intelligent decision-making systems. …”
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Artificial Intelligence and Ethical Dimensions of Automated Traffic Enforcement: Implications for Public Health, Healthcare Equity, and Social Justice by Patricia Haley

“…The analysis reveals how machine learning and predictive analytics in automated enforcement create disproportionate burdens on marginalized populations through three specific mechanisms: (1) biased algorithmic design that targets low-income neighborhoods more intensively, (2) punitive traffic fine structures that impose greater relative financial hardship on economically disadvantaged families, and (3) opaque implementation practices that limit community understanding and participation. …”
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Excessive irrigation-driven greening has triggered water shortages and compromised sustainability by Xiaoyao Lu, Minzhong Zou, Gary Gan, Shaozhong Kang

“…Here, terrestrial water storage changes in the inland arid region of Northwest China are investigated through Gravity Recovery and Climate Experiment (GRACE) mission data combined with a water balance analysis. Machine learning is used to decompose the normalized difference vegetation index (NDVI) by agronomic drivers (irrigated cropland expansion (ICE) and increased nitrogen fertilizer (NFER)) and natural drivers (elevated atmospheric CO2 (eCO2) and heightened reference evapotranspiration) to quantify the long-term impacts of regional greening (i.e., NDVI increases) on terrestrial water storage anomaly (TWSA). …”
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Determinants of access to health facilities among under-five children with caregiver-reported fever in the context of seasonal malaria chemoprevention in Togo, 2020–2022 by Endeshaw Degie Abebe, Sikai Huang, Kevin Baker, Fantche Awokou, Meseret Zelalem, Tadesse Shiferaw Chekol, Abebe Tilaye Weldemichael, Sol Richardson

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Increased risk of COVID-19-related admissions in patients with active solid organ cancer in the West Midlands region of the UK: a retrospective cohort study by Peter Nightingale, Fahad Mahmood, Akinfemi Akingboye, Nabeel Amiruddin, Olorunseun O Ogunwobi

“…We aim to quantify the risk of hospitalisation in patients with active cancer and use a machine learning algorithm (MLA) and traditional statistics to predict clinical outcomes and mortality.Design Retrospective cohort study.Setting A single UK district general hospital.Participants Data on total hospital admissions between March 2018 and June 2020, all active cancer diagnoses between March 2019 and June 2020 and clinical parameters of COVID-19-positive admissions between March 2020 and June 2020 were collected. 526 COVID-19 admissions without an active cancer diagnosis were compared with 87 COVID-19 admissions with an active cancer diagnosis.Primary and secondary outcome measures 30-day and 90-day post-COVID-19 survival.Results In total, 613 patients were enrolled with male to female ratio of 1:6 and median age of 77 years. …”
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Parental psychological control and depressive symptomatology in Chinese junior middle school students: a moderated mediation model by Hailun Liu, Lili Fu, Xianqi Liang, Junhua Zhang, Li Zhang, Youhua Zhai, Jiayi Zhao

“…Method A questionnaire survey was conducted among 1991 middle school students using a depressive symptomatology scale, the psychological control sub-questionnaire, the Chinese version of the Connor-Davidson Resilience Scale, and the Perceived School Climate Scale. Data analysis included descriptive statistics, correlation analysis, and tests of the moderated mediation model. …”
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Enhancing Consumer Insights Through Multimodal Artificial Intelligence and Affective Computing by Ines Cesar, Ivo Pereira, Fatima Rodrigues, Vera L. Migueis, Susana Nicola, Ana Madureira, Jose Luis Reis, Jose Paulo Marques Dos Santos, Duarte Coelho, Daniel Alves De Oliveira

“…The growing interest in learning more about consumer behaviors through analytical techniques requires the integration of innovative approaches that relate their needs to strategic marketing procedures. …”
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THE PAINTINGS OF ILYA GLAZUNOV THROUGH THE PRISM OF THE METHODOLOGIES OF SERGEI EISENSTEIN AND LEV VYGOTSKY / ЖИВОПИСЬ ИЛЬИ ГЛАЗУНОВА СКВОЗЬ ПРИЗМУ МЕТОДОЛОГИИ СЕРГЕЯ ЭЙЗЕНШТЕЙНА... by KONSON G.R. / КОНСОН Г.Р.

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