Object-Oriented Software for Fitness-For-Service Assessment of Cracked Cylinder Based on API RP 579 by Jirapong Kasivitamnuay, Pairod Singhatanadgid

“…The software development process included identifying the software specifications, designing the software structure, manipulating the information from the standard for programming, the graphical user interface design, and finally verification of the software. …”
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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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Financial and Economic Performance of the Russian Railways in the Context of Reform by D. A. Macheret, N. A. Valeev

“…The aim of the article is to identify trends in key financial and economic indicators of the Russian railways in the context of the structural reform of the industry. The objective of the study is to develop a methodology for the long-term management of the financial and economic performance of the railways, as well as recommendations for its sustainable growth. …”
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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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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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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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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

“…Therefore, in order to ensure the Pareto-optimality of the obtained solution, the suggested method has developed a new aggregation operator, an appropriate relaxation of the constraint set, and a well-structured extended Yager membership function. In addition, unlike other methods in the literature, the suggested method gives decision-makers the option to penalize the most unsatisfied objective function at a specific attained solution instead of starting from scratch and working their way through the problem. …”
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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

“…Therefore, in order to ensure the Pareto-optimality of the obtained solution, the suggested method has developed a new aggregation operator, an appropriate relaxation of the constraint set, and a well-structured extended Yager membership function. In addition, unlike other methods in the literature, the suggested method gives decision-makers the option to penalize the most unsatisfied objective function at a specific attained solution instead of starting from scratch and working their way through the problem. …”
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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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Assessing the effects of engineered oyster reefs on shoreline change using drones by Megan E. Geesin, Georgette L. Tso, Hannah Sirianni, Siddharth Narayan, Siddharth Narayan, Chris J. Baillie, Praveen D. Malali, Brandon J. Puckett, Justin T. Ridge, Rachel K. Gittman, Rachel K. Gittman

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PROGRAM COMPLEX FOR THE CALCULATION OF MECHANICAL CHARACTERISTICS OF AIR ELECTRICAL TRANSMISSION LINES by V. Mikhaylenko, V. Peyzel, A. Stepanova

“…The complex uses a structured database of all the structural elements of the OHL, which can be easily modified during operation. …”
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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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Multi-Area Sampling-Based Spatiotemporal Trajectory Planning for Autonomous Driving in Dynamic On-Road Scenarios by Shuhuan Ma, Zhiqiang Ning, Lixin Wei, Pengpeng Chai

“…Finally, the effectiveness of the proposed trajectory planning method is demonstrated in different overtaking scenarios of structured roads.…”
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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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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

“…Our analysis, conducted using SPSS24 and Structural Equation Modeling (SEM), highlighted that self-influence, family influence, learning environment, and teaching influence significantly drive student motivation. …”
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Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game by Shuaibin Guan, Xingjian Fu

“…To overcome the computational challenges of solving the HJI equation, a three-layer neural network structure comprising evaluation, execution, and disturbance networks is employed, integrated with the ADP algorithm to approximate the value function and optimize the control strategy iteratively. …”
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Relevant Elements of Standardisation of Federation’s Advisory Programs for Voluntary Sports Clubs by Marisa Moser, Matthias Buser, Siegfried Nagel

“…Data was gathered through semi-structured interviews with individuals and groups, including program participants and mentors working with the clubs throughout the program. …”
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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

“…The simulated machine learning possesses good generalisation capacity and an excellent learning structure. Managing batteries or auxiliary devices in order to maximise microgrid operating efficiency runs counter to the traditional optimisation laws. …”
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