Identifying and Validating Indicators of Ritualism in the Iranian Higher Education System: A Mixed-Methods Study by Seyed Hedayat Davarpanah, Reza Hoveida, Mostafa Bagherian Far

“…Each interview lasted between 25 and 75 minutes. Data analysis was performed concurrently with data collection, employing thematic analysis to interpret the findings. …”
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Teacher - an architect of children preschool education during pandemic Covid – 19 by Jolanta Andrzejewska, Bożena Grzeszkiewicz, Ewa Lewandowska

“…Research material was gathered by filling the questionnaires by preschool teachers and then subsequently analysis the data. Moreover, this procedure allows teachers and educators to share their views about challenges they needed to fulfill, such as providing online preschool education. …”
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The future in the structure of the subjective image of a student professional life by D. P. Zavodchikov, E. V. Lebedeva, A. A. Sharov

“…The study employs survey methods; the methods of mathematical and statistical data processing: comparative analysis and factor analysis were carried out using the IBM SPSS Statistics v.20 program. …”
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Exploring the Psychometric Properties of a Tool to Assess the Talents of Children with Special Needs in Indonesia by Subagya Subagya, Munawir Yusuf, Priyono Priyono, Erma Kumala Sari, Arsy Anggrellanggi

“…Results: The qualitative analysis revealed that the talents of children with special needs in Indonesia can be categorized into six areas: cognitive, language, movement, social and emotional skills, learning and education, and daily life skills. …”
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Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks by Zhenzhen Li, Jingwen Li, Sifan Li, Yangyang Wang, Jihan Wang

“…<b>Conclusions:</b> This study demonstrated the application of machine learning in genomic data analysis for identifying gene subsets relevant to AML diagnosis and classification, which could aid in improving the understanding of the molecular landscape of AML. …”
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Music Curriculum Requirements for the General Education System of Islamic Republic of Iran by Mosatafa Safapour Quchani, Behrooz Mahram

“…Data analysis was carried out using Alsedeh's qualitative document analysis method, Brady's adaptive model, and open and axial coding. …”
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TRIM29 alleviates intervertebral disc degeneration through the PI3K/AKT/mTOR pathway by Qinghua Yang, Junfei Feng, Hongyuan Xu, Tao Kang, Qingjun Wei, Hua Jiang

“…Integrated analysis of RNA sequencing data, coupled with validation through polymerase chain reaction (PCR), western blot analysis, and immunohistochemistry in both clinical samples and IDD animal models, revealed a significant correlation between tripartite motif containing 29 (TRIM29) expression and IDD progression. …”
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Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification by Apeksha Aggarwal, Vibhav Sharma, Anshul Trivedi, Mayank Yadav, Chirag Agrawal, Dilbag Singh, Vipul Mishra, Hassène Gritli

“…Many successful studies related to analysis of language such as sentiment analysis and analysis of images such as image classification have been performed. …”
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Informational Approaches in Modelling Social and Economic Relations: Study on Migration and Access to Services in the European Union by Florentina-Loredana Dragomir-Constantin, Camelia Madalina Beldiman, Monica Laura Zlati

“…The applied methodology includes attribute distribution analysis, identification of hidden patterns through clustering algorithms (K-Means and Expectation-Maximisation) and training of classifiers using regression decision trees with linear leaf models (M5P) corresponding to interdependent data processing and integration modules, exploratory analysis module, machine learning and decision-making modules, oriented to support public policies through explainable scenarios and predictive-evaluative structures. …”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…In the second stage, we draw inspiration from the field of brain-like trusted AI to construct a robust, in-depth, and unbiased evaluation and interpretability framework involving three dimensions: Permutation Importance (PI) analysis, Partial Dependence Plot (PDP) analysis, and model complexity analysis. …”
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A workplace organisational intervention to improve hospital nurses’ and physicians’ mental health: study protocol for the Magnet4Europe wait list cluster randomised controlled tria... by Peter Griffiths, Jonathan Drennan, Jackie Bridges, Luk Bruyneel, Jane Ball, Linda H Aiken, Douglas M Sloane, Anners Lerdal, Matthew McHugh, Herbert Smith, Anne Marie Rafferty, Reinhard Busse, Walter Sermeus, Julia Köppen, Lars E Eriksson, Kaat Siebens, Matthew D McHugh, Anne Scott, Ingeborg Strømseng Sjetne, Sydney Anstee, Peter Van Bogaert, Rikard Lindqvist, Linda Aiken, Douglas Sloane, Hans De Witte, Wilmar B Schaufeli, Hans De Witte, Simon Dello, Dorothea Kohnen, Claudia Bettina Maier, Lisa Smeds Alenius, Mary Del Guidice, Timothy Cheney, Claudia Maier, Joan Kleine, Elaine Lehane Vera McCarthy, Noeleen Brady, Monica Bukkøy Kjetland, Paul Van Aken, Danny Van Heusden

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Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

“…Analysis of historical data allowed us to determine the optimal parameters of the models and obtain forecast values for time periods (months). …”
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Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA) by Ana Marusic, Bright I Nwaru, Syed Ahmar Shah, Meredith Wallace, Dat Tran, Daniil Lisik, Rani Basna, Tai Dinh, Ryan P Browne, Jeffrey L Andrews, Absalom Ezugwu, Joaquín Torres-Sospedra, Hieu-Chi Dam, Philippe Fournier-Viger, Christian Hennig, Marieke Timmerman, Matthijs J Warrens, Eva Ceulemans, Tina M Hernandez-Boussard

“…Introduction Cluster analysis, a machine learning-based and data-driven technique for identifying groups in data, has demonstrated its potential in a wide range of contexts. …”
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Equipping community health workers in Rwanda to deliver a gender transformative parenting program to prevent violence against women and children at scale by Kate Doyle, Kate Doyle, Isha Bhatnagar, Emmanuel Karamage, Jean Paul Tuyisingize, Chantal Muhimpundu, Ange Marie Yvette Nyiransabimana, François Regis Cyiza, Fidèle Rutayisire, Silas Ngayaboshya, Webster Mavhu, Webster Mavhu

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Providing Enhanced Access to Child Health Services (PEACH) at Sydney Children’s Hospital Network: a study protocol by Karen Zwi, Raghu Lingam, Nan Hu, Jahidur Rahman Khan, Michael Hodgins, Seaneen Wallace, Anna Kearns, Rezwanul Rana, Safa Majidi, Anna van Beek, Ashlie Nobilo, Barb Vernon

“…Providing Enhanced Access to Child Health Services (PEACH) is an organisation-wide quality improvement project that aims to achieve equivalent health outcomes in CYP from priority populations compared with their non-priority population peers.Methods and analysis PEACH creates an equity-focused learning health system using electronic medical record (eMR) patient data and qualitative methodology exploring staff and service user experiences. …”
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Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese by Dan Zhou, Ming Wu, Qilong Tan, Liyang Sun, Yuanxing Tu, Weifang Zheng, Yun Zhu, Min Yang, Kejia Hu, Fang Hu, Xiaohang Xu, Hanyi Zhou, Tian Luo, Fangming Yang, Fuqiang Li, Xin Jin, Huakang Tu, Wenyuan Li, Kui Wu, Xifeng Wu

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Occupational Health and Safety Management System of a South African University Setting by Ntombenhle Mtikitiki, Benett Siyabonga Madonsela, Thabang Maphanga, Karabo Shale, Xolisiwe Sinalo Grangxabe, Tshidi Mokgatsane Baloyi

“…Data analysis was carried out using the thematic analysis approach. …”
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Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer by Yunxia Zhao, Li Li, Shuqi Yuan, Zixin Meng, Jiayi Xu, Zhaogen Cai, Yijing Zhang, Xiaonan Zhang, Tao Wang

“…This study introduces an Artificial Intelligence-Assisted RBP Signature (AIRS) model to improve prognostic accuracy and guide personalized treatment.MethodsData from 14 BC cohorts (9,000+ patients) were analyzed using 108 machine learning model combinations. …”
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Analysing Open-source Images to Assess Face Mask Usage for Epidemiological Studies by Dr Hang Ding, Mrs Ashley Quigley, Professor Raina MacIntyre

“…Current results support our open-source analysis strategy with AI innovations for mask use estimation using open-source data. …”
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Knowledge of companion animals’ practitioners on stem-cell based therapies in a clinical context: a questionnaire-based survey in Portugal by Rafael S. Lopes, João Requicha, Nuno Carolino, Eduardo Costa, Pedro Carvalho

“…After an internal validation, the survey was released online for three months in Portuguese veterinary social network groups. Data were collected and descriptive analysis and Chi-square test were performed. …”
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