Modular, focused data science education improves biomedical learners' abilities: A study of the Data and Analytics for Research Training (DART) program. by Rose Hartman, Karen Joy Payton, Rose Franzen, Meredith Lee, Elizabeth Drellich, Ali Shokoufandeh, Jeffrey Pennington

“…The increasing availability of big data and adoption of sophisticated computational techniques in biomedical research has exciting implications for our scientific understanding of human health. …”
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Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

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Exploring medical students’ attitudes on computational thinking in a Saudi university: insights from a factor analysis study by Abdulaziz Althewini, Omar Alobud

“…The findings of the study indicate a notably positive disposition among students enrolled in medicine and health informatics programs toward computational thinking, surpassing the attitudes observed in other health disciplines. …”
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Application of Advanced Computational Building Performance Analysis Tools in the Architectural Design of Net-Zero Energy Buildings – Case Study. by Masły Dariusz

“…This article aims to explore the process of architectural design for net-zero energy buildings (NZEBs) through the application of the latest computer-based building performance analysis tools. …”
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Key Features of GPT Learning Paradigm by Madalina Pana

“…From the introduction of computers in the mid-20th century to the rise of the internet in the 2000s, each innovation has brought both excitement and apprehension. …”
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Application of Mixed-Integer Linear Programming Models for the Sustainable Management of Vine Pruning Residual Biomass: An Integrated Theoretical Approach by Leonel J. R. Nunes

“…However, key limitations, such as computational complexity and adaptability to dynamic environments, are noted. …”
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Role of Media in Promoting Civil Education and Awareness of Government Programs: A Case Study of Buyanja Sub-County Rukungiri District. by Ahumuza, Charity

“…The study examined the role of media in promoting civil education and awareness of government programs with reference to the Buyanja sub-county, Rukungiri District. …”
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Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments. by Sanaz Khalifani, Reza Darvishzadeh, Majid Montaseri, Sarvin Zaman Zad Ghavidel, Hamid Hatami Maleki, Mojtaba Kordrostami

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Parallel Gaussian Elimination Method by Muhammad Muhammad Ali

“…As we have been able to accelerate the three parallel methods and the speedup was one of the following:           Speedup =  ,  no. of processor is (50)             In general, the practical results and the suggested programs for these new algorithms proved to be better in performance than their analogues that are executed in computers of sequential processor in view of the two elements of execution time and algorithm time.…”
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Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming by Atchara Choompol, Sarayut Gonwirat, Narong Wichapa, Anucha Sriburum, Sarayut Thitapars, Thanakorn Yarnguy, Noppakun Thongmual, Waraporn Warorot, Kiatipong Charoenjit, Ronnachai Sangmuenmao

“…The models were evaluated based on classification accuracy, inference speed, and computational efficiency, with Technique for Order Preference by Similarity to Ideal Solution with Linear Programming (TOPSIS-LP) applied as a multi-criteria decision-making approach. …”
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An Efficient Framework for Peer Selection in Dynamic P2P Network Using Q Learning with Fuzzy Linear Programming by Mahalingam Anandaraj, Tahani Albalawi, Mohammad Alkhatib

“…This paper proposes a new approach to integrating Q learning into the fuzzy linear programming (FLP) paradigm to improve peer selection in P2P networks. …”
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Constant-delay enumeration for SLP-compressed documents by Martín Muñoz, Cristian Riveros

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A neural network-based programming paradigm for heat transport of Eyring-Powell fluid with physiological blood flow applications by Abaker A. Hassaballa, Ali Imran, Ines Hilali Jaghdam, Jongsuk Ro

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Effectiveness of in-service computer science teachers’ professional development in K-12 education: a systematic review and meta-analysis by Hongliang Ma, Yuhan Dong, Bin Jing, Yu Zeng, Jinmei Sun

“…Abstract Background With the growing emphasis on computer science (CS) education in K-12 schools, numerous professional development (PD) programs for in-service CS teachers (CS-PD) have been implemented over the past decades. …”
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Defining the functional domain of programmed cell death 10 through its interactions with phosphatidylinositol-3,4,5-trisphosphate. by Christopher F Dibble, Jeremy A Horst, Michael H Malone, Kun Park, Brenda Temple, Holly Cheeseman, Justin R Barbaro, Gary L Johnson, Sompop Bencharit

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Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 Pandemic by Cagatay Cebeci, Kasım Zor

“…Motivated by the circumstances, this research presents an hour-ahead and day-ahead electricity demand forecasting benchmark using Deep Polynomial Neural Networks (DNN) and Gene Expression Programming (GEP) methods. The DNN and GEP algorithms utilize on-site electricity consumption data collected from a university hospital for over two years with a temporal granularity of 15-minute intervals. …”
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An Analytical Method for Fast Optimization of Multireservoir Hydropower Systems Operations Considering Risk‐Return Tradeoffs by S. Jamshid Mousavi, Kumaraswamy Ponnambalam

“…Abstract Long‐term multireservoir operations optimization is challenging for existing optimization methods such as stochastic dynamic programming (SDP) and implicit stochastic programming (ISP) suffering from excessive computing time requirements. …”
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JWST Early Release Science Program TEMPLATES: Targeting Extremely Magnified Panchromatic Lensed Arcs and Their Extended Star Formation by Jane R. Rigby, Joaquin D. Vieira, Kedar A. Phadke, Taylor A. Hutchison, Brian Welch, Jared Cathey, Justin S. Spilker, Anthony H. Gonzalez, Prasanna Adhikari, M. Aravena, Matthew B. Bayliss, Jack E. Birkin, Emmy Bursk, Scott C. Chapman, Håkon Dahle, Lauren A. Elicker, Travis C. Fischer, Michael K. Florian, Michael D. Gladders, Christopher C. Hayward, Rose Hewald, Lily A. Kettler, Gourav Khullar, Seonwoo Kim, David R. Law, Guillaume Mahler, Sangeeta Malhotra, Eric J. Murphy, Desika Narayanan, Grace M. Olivier, James E. Rhoads, Keren Sharon, Manuel Solimano, Athish Thiruvengadam, David Vizgan, Nikolas Younker, TEMPLATES collaboration

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Evaluation of the clinical efficacy of anti-asthma pharmacotherapy in children using the software package based on the Fishburn method by O. V. Zhukova, I. V. Nikiforova

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Development of the automated system for assessing radiation risks to the population of the Russian Federation based on the data of radiation-hygienic certification of territories by R. R. Akhmatdinov, A. M. Biblin, L. V. Repin

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