IMPLEMENTATION OF THE AL-QURAN LITERACY ERADICATION PROGRAM FOR INMATES AT CLASS IIA BANCEUY PRISON IN BANDUNG by Zidan Jabal Attoriq Baskara, Denny Nazaria Rifani

“…Suggestions for increasing the effectiveness of the program include increasing prisoner motivation through socialization, adding teaching staff, and special approaches for elderly prisoners. With these steps, it is hoped that this program can be more effective in achieving its goals, namely to foster prisoners to have better personalities and be ready to return to society with a deeper understanding of religion. …”
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Utilizing large language models for gastroenterology research: a conceptual framework by Parul Berry, Rohan Raju Dhanakshirur, Sahil Khanna

“…The framework outlines key steps to ensure accuracy, safety, and clinical relevance while mitigating risks associated with artificial intelligence (AI)-driven healthcare tools. …”
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Weak Preprocessing Iris Feature Matching Based on Bipartite Graph by Jin Zhang, Kangwei Wang, Rongrong Shi, Feng Xie, Qinghe Zheng, Ruizhe Zhang, Cheng Wu, Yiming Wang

“…However, these preprocessing steps often introduce distortions and struggle to adapt to multiresolution images, leading to inaccurate feature encoding. …”
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NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines by Uroš Mlakar, Iztok Fister, Iztok Fister

“…However, designing effective NARM solutions is a complex task involving multiple sequential steps, such as data preprocessing, algorithm selection, hyper-parameter tuning, and the definition of rule quality metrics, which together form a complete processing pipeline. …”
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Parenting in Digital Age: Scoping Review and Literature Review by E.M. Tsyganova, A.A. Bochaver

“…Relevant literature was selected following the steps of the model for systematic reviews and meta-analyses PRISMA in the Dimensions and eLibrary databases. …”
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Protocol for detecting oral squamous cell carcinoma in histopathology images using the momentum contrast framework by Xiaoyun Zhang, Yue Fang, Weibin Liao, Junyi Ma, Xin Gao, Min Gao, Junfeng Zhao

“…Here, we present a protocol for detecting OSCC in histopathology images using transfer learning. We describe steps for installing software and prerequisites, preparing datasets, and pretraining a model on images from various tissue types using the momentum contrast (MoCo) framework. …”
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The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion by Maja Reimann, Korkut Avsar, Andrew DiNardo, Torsten Goldmann, Gunar Günther, Michael Hoelscher, Elmira Ibraim, Barbara Kalsdorf, Stefan Kaufmann, Niklas Köhler, Anna Mandalakas, Florian Maurer, Marius Müller, Dörte Nitschkowski, Ioana Olaru, Cristina Popa, Andrea Rachow, Thierry Rolling, Helmut Salzer, Patricia Sanchez-Carballo, Maren Schuhmann, Dagmar Schaub, Victor Spinu, Elena Terhalle, Markus Unnewehr, Nika Zielinski, Jan Heyckendorf, Christoph Lange

“…Methods: Using a multi-step machine learning algorithm to identify an RNA-based algorithm to predict the remaining time to culture conversion at flexible time points during anti-tuberculosis therapy.  …”
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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…Workstream 3: evaluate effectiveness (18-month wait-list cluster randomised controlled trial with ethnography component; baseline: months −3 to 0; step one: months 1–9; step two: months 10–18; minimum clinically significant difference in glycated haemoglobin: 1.1 mmol/mol; target sample size: 66 practices). …”
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Implementation of Character-Based Child-Friendly Schools in Fulfilling Student Rights at SDN Gembongan by Ismi Nurazizah, An-Nisa Apriani

“…The data analysis technique was carried out in three steps, namely data reduction, data presentation, and drawing conclusions. …”
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Tennis Assistance Technology Based on Dynamic Time Warping Algorithm by Penggang Wang, Pengpeng Zhang, Guanxi Fan

“…This technology combines components such as normalization, support vector machine, joint detection, sparse matrix, and second-order stepping mode to improve algorithm performance and reduce computational complexity. …”
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Silicon orientations to grow semi-polar AlN by Ji-Li Li, Ye-Fei Li, Zhi-Pan Liu

“…Here we demonstrate that stepped Si(320) can establish a high-quality interface with the semi-polar AlN(22 $$\bar{4}1$$ 4 ¯ 1 ) as identified through machine-learning-based structure predictions that explored millions of potential interface configurations. …”
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Designing a Model of Maintenance and Sustainability of Expert Human Resources in the Government Organization Province with a Meta-combination Method by Majedreza Dahmardehkemmak, Vahid Pourshahabi, Amin Reza Kamalian, Habibollah Salarzehi

“…Finally, after going through the steps of the research, a suitable model for the maintenance and sustainability of expert human resources was presented in three layers of feasibility and implementation structure and support layer.Introduction Human capital is considered as the basic pillar of real wealth of organizations and the most vital part of intellectual capital. …”
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SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension by Jeevan Chapagain, Zak Risha, Rabin Banjade, Priti Oli, Lasang Tamang, Peter Brusilovsky, Vasile RUs

“…Annotated datasets are needed to train Artificial Intelligence/Machine Learning approaches for the automated assessment of student explanations. …”
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Densenet Model for Binary Glaucoma Classification Performance Assessment with Texture Feature by Wildan Jameel Hadi, Amal Sufiuh Ajrash, Sahar Muneam Salman, Mays jalal jasim, Mina Taha Ibrahim

“…The combination of digital image processing and deep learning techniques enables the development of automated approaches for detecting glaucoma. …”
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A UNet Model for Accelerated Preprocessing of CRISM Hyperspectral Data for Mineral Identification on Mars by P. Kumari, S. Soor, A. Shetty, A. M. Nair

“…The proposed model automates key preprocessing steps, such as smoothing and continuum removal, while preserving essential mineral absorption features. …”
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Paradigm of Integration of Islamic and Scientific Knowledge: Philosophical Reflection on Islamic Basic Education by Mhd Saleh, Sutrisno Sutrisno, Zainal Arifin, Maemonah Maemonah, Rahmat Solihin

“…The paradigm and concept of developing the integration of Islamic science and science in Islamic elementary education is carried out in six steps, namely, development of the integration paradigm, preparation of the curriculum, identification of related Islamic science and science, designing learning, reflection, and innovation. …”
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A review on computational tools for antidiabetic herbs research by Sanket Jadhav, Gargi Vaidya, Amisha Vora

“…This review highlights the key steps in in-silico drug discovery and compiles computational tools and their features focusing on their application in predicting drug-target interactions, optimizing drug-likeness, and assuming ADMET properties. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…Recent advancements in ocean sciences, particularly in data assimilation (DA), suggest that machine learning can emulate dynamical models, replace traditional DA steps to expedite processes, or serve as hybrid surrogate models to enhance forecasts. …”
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Unriddling Academic Dishonesty through the Lens of Teacher and Student Perceptions by Muhammad Saleem, Gulnaz Akram, Areeha Khan Durrani, Ali Raza Siddique

“…Their responses were audio taped and the collected data were transcribed by following transcription steps provided by Humble (2015). For data analysis, NVivo (12) was utilized and factors were extracted. …”
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Technology-Transferability Analysis of Universities and Public Research Institutes Using Deep Neural Networks by Jiho Lee, Seunghyun Lee, Cheol-Han Kim, Janghyeok Yoon

“…Therefore, this study proposes a UPRI technology-transferability prediction model for determining the linkages between UPRI technologies and technology transfer. The steps used in this study are as follows: 1) identifying transferred and non-transferred UPRI technologies using the global research identifier database and the United States patent assignment data; 2) defining patent indicators related to UPRI technology characteristics; 3) building a UPRI technology-transferability prediction model based on the application of deep learning to patent right transfer data; and 4) validating the constructed model’s performance and comparing it with baseline models. …”
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