Effectiveness of Work and Technology Projects in Acquiring Scientific Skills of First Secondary Students with Emphasis on Fundamental Transformation Document of Education by Mokhtar Zakeri, Marjan Moayeri

“…Methods: The research was carried out using a qualitative method and an inductive coding system. The studied population consisted of managers, students, and teachers of the first secondary level in Hormozgan province, Iran. …”
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What is the value of teaching basic science as part of the medical curriculum? by Gabriela da Silva Xavier, Iro Ntonia

“…By using open and axial coding, we undertook a structured thematic analysis approach, exploring themes as guided by our research aim. …”
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Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

“…After an initial preprocessing of the training series, the detected weather and binary-coded load combination time interval samples are used in the training. …”
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Sentient Intercultural Self-Efficacy: Constructing Intercultural Competence in Health Sciences students by DEBBIE ÁLVAREZ-CRUCES, JUAN MANSILLA-SEPÚLVEDA, ALEJANDRA NOCETTI-DE-LA-BARRA

“…Semi-structured interviews, lasting 40 to 50 minutes, were conducted with students in their last year of training tocomply with the intensity sampling. Theoretical sampling was achieved using the Constant Comparative Methods, interview refinements, and data saturation by program and university topropose theoretical codes. …”
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Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications by Alessandro Cerioli, Lorenzo Petrosino, Daniele Sasso, Clement Laroche, Tobias Piechowiak, Luca Pezzarossa, Mario Merone, Luca Vollero, Anna Sabatini

“…The current study aims to train and benchmark AI models tailored for the detection of microplastic in water from scattered signals. …”
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Fine-Tunned Segment Anything Model (SAM) for Reservoir Extractions Compared With Popular CNNs: An Experiment for Space-Borne Synthetic-Aperture Radar Images by Nguyen Hong Quang, Hanna Lee, Eui-Myoung Kim, Gihong Kim

“…Almost all models segmented highly accurate lake areas fitted well with ground-truth masks, nevertheless, the SAM (code link) presented the most well-performance model. …”
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Comparative Assessment of Reactogenicity and Immunogenicity of Commercial Influenza Inactivated Vaccines: Polymer-Subunit Grippol plus, Subunit Influvac, Split Vaccine Waxigrip by S. M. Kharit, D. A. Lioznov, A. A. Ruleva, I. V. Fridman, N. V. Chirun, V. A. Aprjatina

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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…However, existing open-source tools are often distributed as source code or Docker containers, requiring advanced programming skills that hinder accessibility for non-programmers, such as clinicians. …”
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TourismNER: A Tourism Named Entity Recognition method based on entity boundary joint prediction by Kai Gao, Jiahao Zhou, Yunxian Chi, Yimin Wen

“…To address these existing problems, we propose a tourism named entity recognition model that jointly predicts entity boundaries, adopting a training strategy of data preprocessing to enhance the model’s ability for tourism named entity boundary recognition, while our model introduces a pre-trained Bert model as well as BiLSTM coding to enhance the representation of the model’s contexts, and uses a combined predictor of Biaffine and MLP to enhance the model’s recognition performance for boundaries, as well as introducing label smoothing cross entropy to smooth the target labels during the training process. …”
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High-Speed Running and Sprinting Thresholds in Elite Female Team Sports: A Systematic Review by Raúl Nieto-Acevedo, Alfonso de la Rubia, Enrique Alonso-Pérez-Chao, Moisés Marquina Nieto, Carlos García-Sánchez

“…Over the past decade, participation in female team sports has increased significantly, leading to greater interest in monitoring their training and competition load using wearable technology. …”
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Karandu (Gong): History, Functions, and Symbols in the Life of the Tolaki People in 17th -20th Century Southeast Sulawesi by Akhmad Marhadi, Syahrun Syahrun, Basrin Melamba, Marwati Marwati, Hayari Hayari

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TCI-Net: Structural Feature Enhancement and Multi-Level Constrained Network for Reliable Thin Crack Identification on Concrete Surfaces by Shiming Li, Fengtao Yan, Zhijie Li, Qingfeng Hu, Shiqian Xu, Shilian Liu

“…Furthermore, to assess its practical effectiveness, the trained model is validated on real-world data collected from complex tunnel environments. …”
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Perspectives of primary care nurses on the organization of the COVID-19 vaccine rollout: a qualitative study by Rhiannon Lyons, Maria Mathews, Lindsay Hedden, Julia Lukewich, Emily Gard Marshall, Jennifer E. Isenor, Jamie Wickett, Emilie Dufour, Leslie Meredith, Dana Ryan, Sarah Spencer, Crystal Vaughan, Cheryl Cusack

“…We applied a thematic analysis approach and analyzed codes related to the organization of the COVID-19 vaccination rollout. …”
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Mental health literacy and associated factors among traditional healers of Jimma town, southwest, Ethiopia 2020: a community based, cross-sectional study by Gudeta Mideksa, Elias Tesfaye, Yimenu Yitayih, Yohanes Sime, Kemal Aliye, Abraham Tamirat Gizaw

“…The collected data were coded and entered into EpiData version 4.6 and exported to SPSS version 25.0 for analysis. …”
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Gestión de Aula del alumnado universitario en una propuesta de Aprendizaje Servicio en Educación Física en Comunidades de Aprendizaje (University Students’ classroom management in... by Francisco Javier Giles Girela, Enrique Rivera García, Carmen Trigueros Cervantes

“…Methodologically, information was obtained through critical incident narratives of university students, analysed qualitatively through the categorical analysis using coding matrices with NVivo software. The main research findings focus on the need to use disruptive methodologies, such as Service-Learning, in order to improve management skills in initial training. …”
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The Impact of the Osteopathic and Allopathic Merger on Foot and Ankle Case Log Volumes: A 2014-2023 ACGME Report Analysis by Samuel Shepard DO, Jesse A. Raszewski DO, MS, Ania Bartholomew DO, Gerrit Franko BS, Antonios Karvelas BS, Jim Brown BS, Oakk Wynn BS, Safet Hatic DO

“…The year 2020 marked a milestone change in residency training, as the Allopathic (MD) and Osteopathic (DO) residency accreditation merger resulted in unified graduate medical education training. …”
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Knowledge and occupational practices of beauticians and barbers in the transmission of viral hepatitis: A mixed-methods study in Volta Region of Ghana. by Silas Adjei-Gyamfi, Abigail Asirifi, Clotilda Asobuno, Felix Kwame Korang

“…During the qualitative stage, the process of coding, and mind mapping via thematic analysis was carried out. …”
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Hidden curriculum within nutrition education in medical schools by Stephen Martin, Lauren Ball, Elizabeth Sturgiss, Kirsty Douglas

“…Introduction Previous attempts to enhance medical nutrition education have typically focussed on students’ acquiring nutrition knowledge or skills. Given that medical training uses an apprenticeship model of training, surprisingly few studies have explored the ‘hidden curriculum’ that students experience regarding expectations of behaviour, roles and responsibilities regarding nutrition. …”
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DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

“…The use of neural network analysis of data on risk factors in comparison with the processing of information that forms a clinical picture allows the diagnosis of a potential disease with cholecystitis before the onset of symptoms. The training of the artificial neural network with a quantitative output coding the age of probable hospitalization made it possible to generate an array of values, signifficantly (α ≤ 0.001) not differing from the empirical data. …”
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Handling Heterogeneous Traffic  for Software Defined Data-Center Network Using Spike Neural Network by Sanarya Jamal AL-Azawee, Nadia Adnan Shiltagh Al-Jamali

“…The suggested model's usefulness is demonstrated by its efficient training procedure, which provides rapid and accurate results. …”
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