Guided Texture Transfer Network for Mid-Infrared Satellite Image Super Resolution by Yeji Jeon, Youkyung Han, Kwang-Jae Lee, Yeseul Kim, Hanul Kim

“…Also, we propose a two-stage learning strategy to prevent the model from simply copying guidance values. …”
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The intensity of geomagnetic storms associated with the interplanetary magnetic field and solar wind parameters during Solar Cycle 24 by Anwar Santoso, Sismanto Sismanto, Rhorom Priyatikanto, Eddy Hartantyo, Dyah R. Martiningrum

“…We end with a regression formula that fits the data, with a coefficient of determination of 0.58, a root mean square error of 21.30 nT, and a mean absolute error of 15.87 nT. …”
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Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering by Fan Xu, Xin Shu, Xiaodi Zhang, Bo Fan

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Students' Financial Literacy Through Educational Materials Based on Banjar Cultural Values by Raihanah Sari, Herry Porda Nugroho Putro, Rochgiyanti Rochgiyanti, Ersis Warmansyah Abbas, Mohd Mahzan Awang

“…Two expert lecturers validated the teaching module, and two ninth-grade junior high school teachers evaluated its effectiveness. Data analysis utilized qualitative descriptive techniques and descriptive statistics to assess validation results and teacher responses. …”
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A Systematic Literature Review of Internal Quality Assurance in Early Childhood Education in Developed and Developing Countries by Yuli Pujianti, Siti Aminah, Entin Nuryati, Agus Mulyanto, Aimi Farina Sariff

“…Internal Quality Assurance (IQA) is a critical component in early childhood education (ECE) to ensure that learning services meet established standards and deliver high-quality educational experiences for young children. …”
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Faculty’s lived experiences in recognizing nursing students’ psychological support needs in Saudi Arabia by Samirh Said Alqhtani, Seham Alselami, Hend Alnajjar

“…The interviews were recorded, transcribed verbatim, and thematically analyzed using the NVivo program. Results Data analysis revealed four major themes: students’ emotional support, challenges of supporting students, recognition of distress and utilizing resources, and faculty training needs. …”
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First-year students’ perceptions of factors affecting academic writing by Phethani P. Mudau, Madoda Cekiso, Itani P. Mandende

“…This study employed focus group interviews, with each group consisting of five students (N = 25). Thematic analysis was used to analyse the collected data. Results: The study’s findings showed that switching from high schools to university writing can be difficult, particularly for students who must adapt to new requirements and expections. …”
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Fostering Entrepreneurial Mindset: Insights from Chemistry Students at a South African University by Noluntu Dyantyi-Gwanya, Nobathembu Faleni, Thobeka Ncanywa

“…The paper employed a qualitative research methodology in the form of open-ended questionnaires, adopted Bandura's social cognitive theory, and utilised thematic data analysis to achieve the set aim. The sample size consists of 10 purposively selected participants who attended the course. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

“…This research tackles the complex task of implementing domain adaptation for task of mitochondria segmentation in electron microscopy images obtained from various tissues and species, employing deep learning methodologies. A thorough analysis is conducted to evaluate the effectiveness of SAM in segmentation tasks in medical imaging and to measure its performance on volumetric datasets derived from electron microscopy, and show that it is powerful at segmenting instances even under challenging imaging conditions. …”
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Diseño, aplicación y evaluación de unidades híbridas en Educación Física: un estudio basado en la teoría de la autodeterminación (Design, apply and evaluation of hybrid units in P... by Pablo Uria-Valle, Alexander Gil-Arias

“…A 2 x 2 within-test time (pre-test and post-test) x gender (boys and girls) MANOVA was conducted for data analysis. After the hybrid SE/TGfU unit, both quantitative and qualitative findings showed improvements in students’ perceptions of need-support from the physical education teacher, basic psychological needs satisfaction, novelty, autonomous motivation, and intention to be physically active, compared to baseline values. …”
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TELEPROM Psoriasis: Enhancing patient-centered care and health-related quality of life (HRQoL) in moderate-to-severe plaque psoriasis by Gabriel Mercadal-Orfila, Gabriel Mercadal-Orfila, Piedad López Sánchez, Aranzazu Pou Alonso, Olatz Ibarra-Barrueta, Emilio Monte-Boquet, Joaquin Borrás Blasco, Nuria Padullés Zamora, Patricia Sanmartin-Fenollera, Cristina Capilla Montes, M. Ángeles Bernabéu Martínez, Salvador Herrera-Pérez

“…PROMs assessed were the Psoriasis Symptoms and Signs Diary and the Dermatology Life Quality Index at baseline, 1 month, 3 months, and 6 months. Data were analyzed using ANOVA, Student’s t-test, multiple regression, and machine learning algorithms to evaluate ePROMs evolution and response and satisfaction with Telepharmacy follow up.Key resultsThe analysis revealed significant influences of gender, employment status, educational level, and daily activity, but no effect of age, on responses to Patient-Reported Outcomes questionnaires. …”
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Game on or game over? Gamification from 360-degree perspective, perception, confidence, and challenges in simulation based nursing education: mixed-method study by Mohamed Hashem Kotp, Hasan Ahmed Awad Bassyouny, Mohamed Ahmed Aly, Rasha Kadri Ibrahim, Abdelaziz Hendy, Ahmed Shaaban Attia, Ahmed Khalaf Mekdad, Ahmed Ali Hafez, Sally Mohammed Farghaly Abdelaliem, Nadiah A. Baghdadi, Ahmed Hendy, Hossam Ali Ismail

“…Methods A convergent mixed-methods design was utilized, involving 115 nurse educators and 317 nursing students from eight nursing institutions in Cairo. Quantitative data were collected using the newly developed tools, which underwent rigorous validation through Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and reliability testing. …”
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The relationship between homework time and academic performance among K‐12: A systematic review by Liping Guo, Jieyun Li, Zheng Xu, Xiaoling Hu, Chunyan Liu, Xin Xing, Xiuxia Li, Howard White, Kehu Yang

“…The secondary outcomes were academic motivation and the quality of homework; − Study design: Treatment‐control group design or comparison group design studies. Data Collection and Analysis We reviewed the titles, abstracts, and full texts of the retrieved records. …”
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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…This study aimed to develop predictive models utilizing clinical and radiomic data to preoperatively differentiate stage III peripheral SCLC from NSCLC. …”
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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Moreover, an analysis of variance (ANOVA) test and box plot are used to thoroughly investigate this data to provide a more precise assessment of QOSCA’s robustness. …”
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Countering transnational organized groups using information and communication technologies for the illegal sale of drugs by S. I. Davidov, M. V. Kondratev, V. V. Polyakov

“…In particular, the possibilities of using systems operating on the basis of machine learning, contextual data analysis, honeypot are being disclosed. …”
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Government Digital Transformation and the utilization of Basic Public Health Services by China’s migrant population by Haowen Jia

“…Such scrutiny is crucial for the formulation of evidence-based policies that harness digital innovations to mitigate healthcare disparities. Methods The analysis employs data from the 2018 China Migrants Dynamic Survey, matched with details on the National Pilot Cities for Information Benefit to the Public policy at the prefecture city level, yielding a dataset comprising 113,905 observations. …”
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Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma by Zhen Chen, Yongjun Zhang

“…Immune-related co-expression modules were classified by weighted gene co-expression network analysis (WGCNA) analysis. The sequencing data of immune-related genes were comprehensively analyzed by introducing a new computational framework and 10 machine learning algorithms (a total of 101 combinations) to determine the prognostic genes, which were further combined to develop an immune prognostic signature (IMMPS) using the stepCox and Ridge methods. …”
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Factors Influencing Health Care Providers Payment Reforms in Central and Eastern European Countries by Costase Ndayishimiye, Marzena Tambor, Daiga Behmane, Antoniya Dimova, Alina Dūdele, Aleksandar Džakula, Barbora Erasti, Péter Gaál, Triin Habicht, Pavel Hroboň, Liubove Murauskienė, Tamás Palicz, Silvia Gabriela Scîntee, Lenka Šlegerová, Cristian Vladescu, Katarzyna Dubas-Jakóbczyk

“…A four-stage mixed methods approach was used: developing a theoretical framework and data collection form using existing literature, mapping payment reforms, consulting with national health policy experts, and conducting a comparative analysis. …”
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Transient Synchronization Stability in Grid-Following Converters: Mechanistic Insights and Technological Prospects—A Review by Yang Liu, Lin Zhu, Xinya Xu, Dongrui Li, Zhiwei Liang, Nan Ye

“…Building on existing studies, the paper further explores innovative applications of artificial intelligence (AI) in transient stability assessment, including stability prediction based on deep learning, data-physics hybrid modeling, and human–machine collaborative optimization strategies. …”
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