Square a Multi-Digit Number on 8 Processors in a Parallel Computational Model by Andrii Tereshchenko

“…To verify the result of the calculation, the algorithm-program SquaringNumber2aa in the APL programming language is implemented. …”
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Newman's Error Analysis (NEA) in Solving Computational Thinking Problems on Indefinite Integral Material by Lisa Lisa, Elmanani Simamora, Mulyono Mulyono, E. Elvis Napitupulu, Asmin Panjaitan

“…The findings indicate that students with very high and high computational thinking skills did not make errors compared to those with moderate, low, and low computational thinking skills. …”
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An Efficient Computational Algorithm for the Nonlocal Cahn–Hilliard Equation with a Space-Dependent Parameter by Zhengang Li, Xinpei Wu, Junseok Kim

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Thermal Decomposition of Compounds Derived from 2H-Dihydropyran: A Computational Study by Pablo Ruiz, Sara Bucheli, Paula Fernández, Silvia Quijano, Jairo Quijano, Jair Gaviria

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Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review by Weiyi Wang, Shailendra Sawleshwarkar, Mahendra Piraveenan

“…We also highlight that in future, the use of computational and operations research tools such as game theory and linear programming, coupled with the large scale use of census and geographic information systems data, will greatly aid in the modelling, analysis and prevention of HPV.…”
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Discovery of bis-thiourea derivatives as potent tyrosinase inhibitors: combined experimental and computational study by Sahachai Sabuakham, Sutita Nasoontorn, Napat Nuramrum, Atit Silsirivanit, Thanyada Rungrotmongkol, Ratchanok Pingaew, Panupong Mahalapbutr

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Teaching design students machine learning to enhance motivation for learning computational thinking skills by Hung-Hsiang Wang, Chun-Han Ariel Wang

“…Although many design students may have limited experience with programming, incorporating accessible, no-code tools can help them confidently embrace computational methods, unlocking new pathways for creative exploration and innovation. …”
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Genes to diseases (G2D) computational method to identify asthma candidate genes. by Karine Tremblay, Mathieu Lemire, Camille Potvin, Alexandre Tremblay, Gary M Hunninghake, Benjamin A Raby, Thomas J Hudson, Carolina Perez-Iratxeta, Miguel A Andrade-Navarro, Catherine Laprise

“…This association has not been replicated in the Childhood Asthma Management Program (CAMP) cohort. Sequencing of the regions around rs7081735 revealed additional polymorphisms, but additional genotyping did not yield new associations. …”
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Convex Formulations for Antenna Array Pattern Optimization Through Linear, Quadratic, and Second-Order Cone Programming by Álvaro F. Vaquero, Juan Córcoles

“…By formulating the radiation pattern synthesis problem through a convex formulation, global optimality and computational efficiency are ensured. The paper introduces the mathematical foundations of the proposed methodologies, detailing the structure and benefits of each convex optimization model. …”
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A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa by Solomon Sunday Oyelere, Kehinde Aruleba

“…In today's era of technological evolution, programming education is crucial for shaping the future workforce and fostering innovation. …”
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Compartmental modeling approach for prediction of unreported cases of COVID-19 with awareness through effective testing program by Singh Abhishekh, Rana Vikash, Verma Vijai Shanker

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rDock: a fast, versatile and open source program for docking ligands to proteins and nucleic acids. by Sergio Ruiz-Carmona, Daniel Alvarez-Garcia, Nicolas Foloppe, A Beatriz Garmendia-Doval, Szilveszter Juhos, Peter Schmidtke, Xavier Barril, Roderick E Hubbard, S David Morley

“…Evolved from RiboDock, the program can be used against proteins and nucleic acids, is designed to be computationally very efficient and allows the user to incorporate additional constraints and information as a bias to guide docking. …”
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APPLICATION OF GPU-CUDA PARALLEL COMPUTING TO THE SMITH-WATERMAN ALGORITHM TO DETECT MUSIC PLAGIARISM by Alfredo Gormantara, Ferdianto Tangdililing, Sean Coonery Sumarta

“…Parallel computing relies on the capabilities of multi-core GPUs that can be programmed using CUDA. …”
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Application of Graphics Processor Unit Computing Resources to Solution of Incompressible Fluid Dynamics Problems by Redha Benhadj-Djilali, Arturas Gulevskis, Konstantin Volkov

“…The structure and memory organization of graphics processor units (GPUs) manufactured by NVIDIA and the use of CUDA programming technology to solve computational fluid dynamics (CFD) problems is reviewed and discussed. …”
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Application of computer vision in the assessment of the in vitro development of Oncidium sphacelatum Lindl., (Orchidaceae) protocorms by Vincenzo Bertolini, Javier Francisco Valle Mora, Ángel Natanael Rojas Velázquez

“…We report an application of computer vision designed to monitor the in vitro development of Oncidium sphacelatum Lindl., orchid protocorms. …”
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Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System by Mingyun Kang, Sebeen Yoon, Taehoon Kim

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Service function chain embedding algorithm with wireless multicast in mobile edge computing network by Kan WANG, Nan ZHAO, Junhuai LI, Huaijun WANG

“…To resolve the excessive system overhead and serious traffic congestion in user-oriented service function chain (SFC) embedding in mobile edge computing (MEC) networks,a content-oriented joint wireless multicast and SFC embedding algorithm was proposed for the multi-base station and multi-user edge networks with MEC servers.By involving four kinds of system overhead,including service flow,server function sustaining power,server function service power and wireless transmission power,an optimization model was proposed to jointly design SFC embedding with multicast beamforming.Firstly,with Lagrangian dual decomposition,the problem was decoupled into two independent subproblems,namely,SFC embedding and multicast beamforming.Secondly,with the L<sub>p</sub> norm penalty term-based successive convex approximation algorithm,the integer programming-based SFC embedding problem was relaxed to an equivalent linear programming one.Finally,the non-convex beamforming optimization problem was transformed into a series of convex ones via the path following technique.Simulation results revealed that the proposed algorithm has good convergence,and is superior to both the optimal SFC embedding with unicasting and random SFC embedding with multicasting in terms of system overhead.…”
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An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process by Wen-Chin Chen, An-Xuan Ngo, Jun-Fu Zhong

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Application of Computer Systems of Dynamic Modeling for Evaluation of Protection Behavior of Electric Power Lines by F. A. Romaniouk, I. V. Novash, А. A. Tishechkin, V. I. Roumiantsev, N. N. Bobko, E. V. Glinsky

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Helical Computed Tomography Has a Role in the Screening of Lung Cancer -- The Con Argument by Warren Davidson

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