A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves by James M. Trauer, Angus E. Hughes, David S. Shipman, Michael T. Meehan, Alec S. Henderson, Emma S. McBryde, Romain Ragonnet

“…Under our assumption of widespread immunity against severe outcomes from recent vaccination, incorporating an additional effect of the main vaccination programs rolled out during 2022 on transmission did not further improve model fit. …”
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Investigating the impact of generative AI integration on the sustenance of higher-order thinking skills and understanding of programming logic by Jemimah Nathaniel, Solomon Sunday Oyelere, Jarkko Suhonen, Matti Tedre

“…These findings offer a practical model for integrating GenAI into programming education.…”
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A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit by Yin-Wen Chang, Michael Collins

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Optimizing the Spectrum and Power Allocation for D2D-Enabled Communication Systems Using DC Programming by Guomei Gan, Yanhu Huang, Qiang Wang

“…The resource allocation problem is formulated as a mixed integer programming problem which is difficult to solve. To reduce the computational complexity, the original problem is decomposed as two subproblems in terms of the subcarrier assignment and power allocation. …”
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An optimal peer selection for peer-to-peer video content distribution using fuzzy linear programming approach by M. Anandaraj, Naganandhini S.

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Etude on Recursion Elimination by Nikolay Shilov

“…Transformation-based program verification was a very important topic in early years of theory of programming. …”
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JUSTIFICATION OF THE STRUCTURE OF A SET OF MODELS FOR THE DEVELOPMENT AND IMPLEMENTATION OF REGIONAL PROGRAMS, TAKING INTO ACCOUNT ASSOCIATED RISKS by A. I. Denisova

“…The paper considers the computational and analytical tools for the development and implementation of support for development programs and shows the need for its improvement. …”
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Efficient Behavior Factor Estimation in Moment-Resisting Reinforced Concrete Frames through Gene Expression Programming by Niloufar Azhdari, Seyed Shaker Hashemi, Saeid Javidi, Abdorreza Fazeli

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A Novel Machine Learning Model and a Web Portal for Predicting the Human Skin Sensitization Effects of Chemical Agents by Ricardo Scheufen Tieghi, José Teófilo Moreira-Filho, Holli-Joi Martin, James Wellnitz, Miguel Canamary Otoch, Marielle Rath, Alexander Tropsha, Eugene N. Muratov, Nicole Kleinstreuer

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Version v1.3.6 - PeriLab - Peridynamic Laboratory by Christian Willberg, Jan-Timo Hesse, Anna Pernatii

“…As a result, it is particularly well-suited for large-scale problems, offering improved computational efficiency.…”
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Bioinformatics Interpretation of Exome Sequencing: Blood Cancer by Jiwoong Kim, Yun-Gyeong Lee, Namshin Kim

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Two Level Kazakh Morphology by Züleyha Yiner, Atakan Kurt

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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

“…It provides a comprehensive approach to processing and analyzing large volumes of Arabic news data by integrating semantic field analysis, NLP, and computational linguistics. Using quantitative methods, Arabic news articles were collected and processed with Python, a popular programming language in data analysis, and applied various NLP techniques and machine learning models to accurately extract semantic fields. …”
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A method for benchmarking genetic screens reveals a predominant mitochondrial bias by Mahfuzur Rahman, Maximilian Billmann, Michael Costanzo, Michael Aregger, Amy H Y Tong, Katherine Chan, Henry N Ward, Kevin R Brown, Brenda J Andrews, Charles Boone, Jason Moffat, Chad L Myers

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Instructional Process of Design-Based Learning Integration on Computational Thinking: A Framework for Effective Teaching in Course of Physics Experiment Design by Suritno Fayanto, I Nyoman Sudana Degeng, Syaad Patmanthara, Saida Ulfa

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Dynamics of transcriptional programs and chromatin accessibility in mouse spermatogonial cells from early postnatal to adult life by Irina Lazar-Contes, Rodrigo G Arzate-Mejia, Deepak K Tanwar, Leonard C Steg, Kerem Uzel, Olivier Ulrich Feudjio, Marion Crespo, Pierre-Luc Germain, Isabelle M Mansuy

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Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

“…This study presents a Constraint Programming (CP)-based optimization framework that integrates Virtual Charging Station Mapping (VCSM) and sensor fusion positioning to decouple spatiotemporal charging conflicts and applies a dynamic topology adjustment algorithm to enhance computational efficiency. …”
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Improving students’ programming performance: an integrated mind mapping and generative AI chatbot learning approach by Xindong Ye, Wenyu Zhang, Yuxin Zhou, Xiaozhi Li, Qiang Zhou

“…To assess the effectiveness of this learning method and to investigate whether there are differences in the impact of various types of mind mapping-supported GenAI chatbots on students’ programming academic performance, computational thinking, and programming self-efficacy, the research team conducted a quasi-experimental study. …”
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ОБУЧЕНИЕ ПРОГРАММИРОВАНИЮ И ПОДГОТОВКА К ОЛИМПИАДАМ ШКОЛЬНИКОВ ГОМЕЛЯ (БЕЛАРУСЬ) by Долинский М.С.

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Smoothing Techniques and Augmented Lagrangian Method for Recourse Problem of Two-Stage Stochastic Linear Programming by Saeed Ketabchi, Malihe Behboodi-Kahoo

“…The augmented Lagrangian method can be used for solving recourse problems and obtaining their normal solution in solving two-stage stochastic linear programming problems. The augmented Lagrangian objective function of a stochastic linear problem is not twice differentiable which precludes the use of a Newton method. …”
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