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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Impact of corporate social responsibility of integrated petroleum engineering enterprises on the performance of their activities by S. V. Frolova

“…The assessment carried out in the integrated structures of oil engineering enterprises can further form the basis for the formed program of measures to involve employees in innovative activity and increase the level of motivation and establishment of CSR policy in the integrated company.…”
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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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TLS and immune cell profiling: immunomodulatory effects of immunochemotherapy on tumor microenvironment in resectable stage III NSCLC by Chaopin Yang, Chaopin Yang, Jinqi You, Jinqi You, Yizhi Wang, Yizhi Wang, Si Chen, Si Chen, Yan Tang, Yan Tang, Hao Chen, Hao Chen, Haoran Zhong, Ruyue Song, Hao Long, Hao Long, Tong Xiang, Ze-Rui Zhao, Ze-Rui Zhao, Jianchuan Xia, Jianchuan Xia

“…The complex interactions between immune cell subtypes and tertiary lymphoid structures (TLSs) within the tumor microenvironment (TME) may influence prognosis and the response to immunochemotherapy. …”
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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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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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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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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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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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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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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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Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement by Junpeng Zhu, Yi Zhou, Xiaofeng Dong, Li Zhou, Qiong Zhu, Yue Yuan

“…Accordingly, this paper proposes a reconfiguration method of distribution network considering the enhancement of reliability, which reconfigures the network structure both under normal operation conditions and outage scenarios, and considers factors such as power loss, load distribution and voltage quality considered in conventional reconfiguration methods. …”
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Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy by Roberta Papa, Francesco Balducci, Giulia Franceschini, Marco Pompili, Marco De Marco, Josep Roca, Rubèn González-Colom, David Monterde

“…AMG algorithm was applied and descriptive analysis performed. A dashboard structure was developed to exploit the results of the tool. …”
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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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ON THE PROBLEMS OF BILEVEL OPTIMIZATION UNDER RCPLD CONSTRAINT QUALIFICATIONS by L. I. Minchenko, S. I. Sirotko

“…Multilevel optimization problems often arise in various applications (in economics, ecology, power engineering and other areas) when modeling complex systems with a hierarchical structure associated with independent actions of subsystems. …”
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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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