Methodological potential of institutional research in modern economic science by Yu.V.

“…The importance of a systemic approach to solving insufficiently structured and complex economic problems, its value for the preliminary structuring of a qualitative problem in conditions of limited information in order to establish relationships between its components and its solution, has been clarified. …”
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Programming of skilled football players training process in the second cycle of specially created training during the year by V.M. Kostiukevich, V.A. Stasiuk, N.Yu. Shchepotina, A.A. Dyachenko

“…The structure of microcycles includes programs of trainings. …”
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The Relationship between Foreign Direct Investments and EU Funding During the 2007–2013 Programming Period by Łukasz Cywiński

“…In contrast to analysis of previous programming periods, the results did not indicate that there was a statistically significant relationship between structural or cohesion funds and the stock of FDI. …”
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Evolutionary Search for Polynomial Lyapunov Functions: A Genetic Programming Method for Exponential Stability Certification by Roman Pykhnivskyi, Anton Ryzhov, Andrii Sobchuk, Yurii Kravchenko

“…The approach is based on genetic programming, a variant of genetic algorithms where the search space consists of hierarchical tree structures. …”
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Providing Models of the Compressive Strength of Square and Rectangular (S/R) Concrete Confined Using Genetic Programming by Yaser Moodi

“…The accurate prediction of the compressive strength of FRP (Fiber-Reinforced Polymer)-confined is essential for structural engineers and designers. Several experimental studies have been conducted on concrete confined with FRP sheets. …”
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Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking by J. Kyle Brubaker, Kyle E. C. Booth, Akihiko Arakawa, Fabian Furrer, Jayeeta Ghosh, Tsutomu Sato, Helmut G. Katzgraber

“…Abstract The peptide-protein docking problem is an important problem in structural biology that facilitates rational and efficient drug design. …”
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Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems by Tuong M. Vu, Charlotte Buckley, Hao Bai, Alexandra Nielsen, Charlotte Probst, Alan Brennan, Paul Shuper, Mark Strong, Robin C. Purshouse

“…The framework exploits the implicit ontology of an existing human-built generative model to propose and test a plurality of new candidate model structures. Genetic programming is used to automate this search process. …”
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What is the biggest motivator for 10 th-graders when learning programming? Case study in Vietnam by Hung Tran Van, Hoa Nguyen Thi, Kiet Tran Ly Anh, Kiet Nguyen Ba Tuan

“…Motivation is one of the important elements in the learning process, particularly for complex subjects like programming, which demand consistent engagement and strong problem-solving abilities. …”
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Supply Chain Management Using Evolutionary Algorithms by Skitsko Volodymyr I., Voinikov Mykola Yu.

“…A comparative analysis is carried out and recommendations are provided for the selection of the appropriate algorithm, taking into account the characteristics of the problem, in particular, the structure of the solution (coding), the discreteness or continuity of variables, and the speed of getting into the local optimum. …”
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Design and Application of Reliability Calculation Program Based on Secondary Development of ABAQUS by ZOU Hong, WU Jian, XU Zhichun, YANG Li

“…As a kind of finite element analysis software,ABAQUS is widely used in nonlinear simulation field,but there is no universal and mature reliability calculation module.Therefore,it is necessary to establish a general reliability calculation program for Monte Carlo simulation based on finite element model to meet the automation requirements of reliability calculation of various structures in ABAQUS.This paper firstly puts forward the design idea and main functions of reliability calculation program in ABAQUS,including random number generation,model batch building,automatic result extraction and so on;then,develops the pre-processing and post-processing modules of ABAQUS with Python language for modularizing the main functions of the program;finally,introduces the application method of this reliability calculation program in detail taking the reliability calculation process of the finite element model of a simply supported steel truss bridge as an example.This reliability calculation program can effectively improve the degree of automation in the process of structural reliability calculation,and reduce the calculation time,which has great reference value in engineering application.…”
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Correction: Senn et al. The Community Structure of eDNA in the Los Angeles River Reveals an Altered Nitrogen Cycle at Impervious Sites. <i>Diversity</i> 2023, <i>15</i>, 823 by Savanah Senn, Sharmodeep Bhattacharyya, Gerald Presley, Anne E. Taylor, Rayne Stanis, Kelly Pangell, Daila Melendez, Jillian Ford

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Binary program taint analysis optimization method based on function summary by Pan YANG, Fei KANG, Hui SHU, Yuyao HUANG, Xiaoshao LYU

“…Taint analysis is a popular software analysis method, which has been widely used in the field of information security.Most of the existing binary program dynamic taint analysis frameworks use instruction-level instrumentation analysis methods, which usually generate huge performance overhead and reduce the program execution efficiency by several times or even dozens of times.This limits taint analysis technology’s wide usage in complex malicious samples and commercial software analysis.An optimization method of taint analysis based on function summary was proposed, to improve the efficiency of taint analysis, reduce the performance loss caused by instruction-level instrumentation analysis, and make taint analysis to be more widely used in software analysis.The taint analysis method based on function summary used function taint propagation rules instead of instruction taint propagation rules to reduce the number of data stream propagation analysis and effectively improve the efficiency of taint analysis.For function summary, the definition of function summary was proposed.And the summary generation algorithms of different function structures were studied.Inside the function, a path-sensitive analysis method was designed for acyclic structures.For cyclic structures, a finite iteration method was designed.Moreover, the two analysis methods were combined to solve the function summary generation of mixed structure functions.Based on this research, a general taint analysis framework called FSTaint was designed and implemented, consisting of a function summary generation module, a data flow recording module, and a taint analysis module.The efficiency of FSTaint was evaluated in the analysis of real APT malicious samples, where the taint analysis efficiency of FSTaint was found to be 7.75 times that of libdft, and the analysis efficiency was higher.In terms of accuracy, FSTaint has more accurate and complete propagation rules than libdft.…”
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Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach by Zhi Wu, Ao Li, Qirun Sun, Shu Zheng, Jingtao Zhao, Pengxiang Liu, Wei Gu

“…In order to solve the “curse of dimensionality” problem in multi-stage stochastic planning model, the approximate dynamic programming algorithm is used to solve it. The case study is based on the typical structure of the diamond distribution network and realistic data of an actual district in Shanghai, China. …”
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Automatic Closed-loop Test of Displayer Frequent Turning on and Turning off Based on Script Programming by XIA Yinbo, YANG Ying, WU Weizhen, REN Xianghui

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The Technological Bridge: R Programming’s Utility in Converting Social Media Data for Quantitative Financial Analysis by Litvinenko Alexey, Samuli Saarinen, Litvinenko Anna

“…With the aim to enhance the predictive power of traditional financial models using alternative data sources, the paper outlines comprehensive guidelines with specific technical steps, from scripting an API to extracting data from Reddit and X, through cleaning and tokenising to incorporating the data into regression models using R programming. The study addresses the growing need in financial economics to incorporate alternative data streams by offering a structured, replicable process for transforming high-volume, unstructured online content into statistically valid variables, thereby bridging the gap between qualitative market sentiment and quantitative modelling.…”
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Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game by Shuaibin Guan, Xingjian Fu

“…This paper investigates an adaptive dynamic programming (ADP) optimal tracking control algorithm for multi-UAV systems based on zero-sum game theory, addressing external disturbances during flight. …”
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Integrating AI and Multi-objective Optimization for Enhanced Microgrid Energy Management Using Quadratic Programming by Agrawal Priyanka, Thethi H. Pal, Mohammad Q., Gupta Navya, Asha V., Reddy K. Jyothsna

“…Using the AI approaches and the quadratic programming driven multiobjective optimisation, this paper proposes a universal framework for smart microgrid energy management. …”
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Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study by Danang Setiawan, Hilmi Akbar Wijaya

“…This paper presents a framework of structured decision-making for poultry farms to obtain the highest possible profit and minimize loss occurrence by utilizing an optimal harvesting schedule.…”
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Penalized Intuitionistic Fuzzy Goal Programming Method for Solving Multi-Objective Decision-Making Problems by Demmelash Mollalign Moges, Berhanu Guta Wordofa, Allen Rangia Mushi

“…This research study focused on establishing a novel method by combining the penalty function method with an interactive goal programming methodology for addressing multi-objective decision-making problems in an intuitionistic fuzzy environment. …”
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Penalized Intuitionistic Fuzzy Goal Programming Method for Solving Multi-Objective Decision-Making Problems by Demmelash Mollalign Moges, Berhanu Guta Wordofa, Allen Rangia Mushi

“…This research study focused on establishing a novel method by combining the penalty function method with an interactive goal programming methodology for addressing multi-objective decision-making problems in an intuitionistic fuzzy environment. …”
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