Substituted 1,4-naphthoquinones for potential anticancer therapeutics: In vitro cytotoxic effects and QSAR-guided design of new analogs by Veda Prachayasittikul, Prasit Mandi, Ratchanok Pingaew, Supaluk Prachayasittikul, Somsak Ruchirawat, Virapong Prachayasittikul

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Synthesis, biological investigation, and in silico studies of 2-aminothiazole sulfonamide derivatives as potential antioxidants by Apilak Worachartcheewan, Ratchanok Pingaew, Veda Prachayasittikul, Setthawut Apiraksattayakul, Supaluk Prachayasittikul, Somsak Ruchirawat, Virapong Prachayasittikul

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ABOUT PRODUCTION-TRANSPORT PROBLEM REDUCTION TO THE TWO-LEVEL PROBLEM OF DISCRETE OPTIMIZATION AND ITS APPLICATION by E. Ivokhin, V. Navrodskiy, D. Apanasenko

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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

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SUPPORT VECTOR MACHINE METHOD FOR PREDICTING INVESTMENT MEASURES by Olga V. Kitova, Igor B. Kolmakov, Ilya A. Penkov

“…The base features of support vector method over traditional econometric techniques for improving the forecast quality are described. Computer modeling results in terms of tuning support vector machine models developed with programming language Python for predicting some investment measures are shown.…”
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Optimal double acceptance sampling inspection plans based on inverted Nadarajah-Haghighi distribution by Mehran Naghizadeh Qomi, Zohre Mahdizadeh

“…Two real data sets are given for illustrating the results.Originality/Value: Two-point method is used to find the best plan by using nonlinear programing optimization problem. All computations are performed by the R software.…”
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Range Space and Similarity Transformation Using Symbolic Mathematics in Python by Chainarong Wisassakwichai, Prasert Phaochoo

“…These theorems are transformed into abstract data models and represented as programmatic objects using object-oriented programming to process input and output data. Two classes, ‘rangeSpace’ and ‘similarTrnsfrm,’ were created to handle computations related to range space and similarity transformation, respectively. …”
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Fault localization approach for null pointer exception by Shu-juan JIANG, Xing-ya WANG, Yan-mei ZHANG, Wei LI, Xiao-lin JU, IUYing-qi L

“…A novel approach to locate the fault for null pointer exception is presented.The approach first computes the static slice guided by the runtime stack,then conducts a null-pointer analysis and aliases analysis on the sliced program and obtains the suspicious statements that throw null-pointer exceptions,and finally generates a fault localization report.The experimental study indicates that,although time spent in runtime stack information collecting and aliases transferring,the proposed approach can narrow the searching space of the problem with runtime stack,and discover the value transfer process with aliases analysis,thereby eliminating false negative and false positive,and improving the effectiveness of fault localization.…”
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Large Language Model-Driven Framework for Automated Constraint Model Generation in Configuration Problems by Roberto Penco, Damir Pintar, Mihaela Vranić, Marko Šoštarić

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An empirical study of local‐decision‐making‐based software customization in distributed development by Ahmed S. Ghiduk, Abdulrahman M. Qahtani

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MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic by Eyad Algahtani

“…MP-SPILDL targets accelerating both hypothesis search and hypothesis evaluation by aggregating the computing power of multi-core CPUs with their vector/SIMD instructions and multi-GPUs in a Hadoop cluster. …”
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Performance Guarantees of Recurrent Neural Networks for the Subset Sum Problem by Zengkai Wang, Weizhi Liao, Youzhen Jin, Zijia Wang

“…Various methods have been developed to address this issue, including backtracking techniques, dynamic programming approaches, branch-and-bound strategies, and Monte Carlo methods. …”
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Security by Design: Aspirations and Realities in a Regulatory Context by Lee A Bygrave

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Effects of Different Ranges of Loads on Physical Performance Using Velocity-Based Resistance Training by Javier Riscart-López, Juan Sánchez-Valdepeñas, Fernando Colomina-Clemens, Esteban Crespo-García, Guillermo de Castro-Maqueda, Miguel Ángel Rosety-Rodríguez, Juan Antonio León-Prados, Fernando Pareja-Blanco

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A Linear Algebraic Framework for Dynamic Scheduling Over Memory-Equipped Quantum Networks by Paolo Fittipaldi, Anastasios Giovanidis, Frederic Grosshans

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Solution Methods for the Multiple-Choice Knapsack Problem and Their Applications by Tibor Szkaliczki

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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

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Assessing car-sharing as a circular economy strategy: the case of Taiwan by Hsiu-Ching Shih, Yun-Cheng Lee, Hao-Yen Yang, Li-Heng Chen, Hwong-wen Ma

“…This study aims to develop a methodology that combines linear programming and a computable general equilibrium model to assess how consumer behavior affects the potential of car-sharing to replace private car usage in densely populated cities such as those in Taiwan and how the resultant potential influences the repercussion effect across industries. …”
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Reconstructing rearrangement phylogenies of natural genomes by Leonard Bohnenkämper, Jens Stoye, Daniel Doerr

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Artificial Intelligence Assistive Tool for Radiotherapy Plan Evaluation Based on Analysis of Integral Dose by Shriram Rajurkar, Teerthraj Verma, MLB Bhatt, S P Mishra, P Deshmukh, D Sargar

“…Conclusion: It is found that ID increases as the number of beams increases. The Python program used in this study for the calculation of ID, as an AI assistive tool for plan evaluation, can be run on the TPS or on a side-by-side computer which may be helpful in finalizing radiotherapy plans.…”
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