FORMATION OF A POSITIVE IMAGE OF THE FUTURE TEACHER OF HIGHER SCHOOL AS A COMPONENT OF THEIR PROFESSIONAL TRAINING by Tamara Poyasok, Olena Bespartochna

“…The state of research of the issue of professional image formation in foreign and domestic scientific achievements is clarified and the content of the concept of «professional image of a teacher» is specified. The structure of the teacher’s professional image is highlighted, which reflects the basic requirements for it, and which consists of natural, personal, professional, behavioral components that are basic, as well as visual, auditory, olfactory and kinesthetic components that are the part of the symbolic block. …”
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Enhancing maize above-ground biomass estimation through multispectral, digital and LiDAR fusion on UAV platforms by Ziheng Feng, Zheqing Yang, Liunan Suo, Ke Wu, Zhiyao Ma, Haiyan Zhang, Jianzhao Duan, Wei Feng

“…To address this limitation, plant density (PD) and spacing between two plants (STP) were extracted from digital imagery, while slope (SL) was calculated using LiDAR data. A plant structure factor (PS) was developed using PD and STP to quantify planting characteristics. …”
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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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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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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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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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Drifting long-lived. To the 50th anniversary of the opening of the “North Pole -22” station by V. V. Lukin

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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

“…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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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

“…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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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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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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Relationships among thriving at work, organisational commitment and job satisfaction among Chinese front-line primary public health workers during COVID-19 pandemic: a structural e... by Di Jiang, Jingjing Wang, Lei Guo, Yuanmin Jia, Mo Yi, Zeyi Zhang, Ou Chen, Baosheng Zhao

“…Objectives This study aims to explore the mediating effect and influence mechanism of organisational commitment on the association among thriving at work and job satisfaction among frontline primary public health workers (PHWs) in China during the COVID-19 pandemic.Design This study is a cross-sectional written survey.Setting We included 20 primary care units in northern provinces of China.Participants A total of 601 PHWs who worked in primary organisations and against COVID-19 on the front line were included.Methods We collected the data from the participants’ written questionnaire (Minnesota Satisfaction Questionnaire, thriving at work scale and organisational commitment scale), and programmed AMOS V.26.0 to develop a structural equation model (SEM) based on the relationships among the three variables.Results The thriving at work scores of the primary PHWs were (M=3.17, SD=0.65), and job satisfaction was (M=3.05, SD=0.69); the scores of their thriving at work, organisational commitment and job satisfaction were all significantly correlated (p&lt;0.01); and the SEM indicated that organisational commitment had a significant partial mediating effect between thriving at work and job satisfaction. …”
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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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