Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…A critical step of fault localization is predicting the residence of crashing faults, which involves determining whether a fault is located within the stack trace or outside it. …”
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An algorithm for selecting the parameters of a supercapacitor as part of an energy storage system of an electrical complex in case of voltage dips by Tokarev I.S., Shklyarsky Ya.E., Skvortsov I.V., Vasilkov O.S.

“…Based on the data obtained, an algorithm for determining a supercapacitor with the required nominal parameters that meet the criteria of technical and economic efficiency for the object under consideration has been formed. …”
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Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning by Intissar Dhrari Hajsalem, Yassine Ben Ayed

“…Nevertheless, a lot of current technologies are still insufficient to detect tumors, which is why we created an approach using advanced method to identify polyps.MethodsOur three-stage deep learning-based method requires constructing an Encoder-Decoder Network (EDN) to determine the Region of Interest (ROI) in preprocessing, feature selection with pretrained models such as VGG16, VGG19, ResNet50 and InceptionV3, and Support Vector Machine (SVM) classifier to separate affected individuals from normal ones during the classification stage. …”
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Pharmacogenetics as a Way for Personalizing Diuretic Therapy: Focus on Torasemide by N. M. Gafurova, E. V. Shikh, O. D. Ostroumova

“…The use of personalization methods is one of the ways to increase the efficiency and safety of pharmacotherapy with diuretics. …”
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Advancing Built-Up Area Monitoring Through Multi-Temporal Satellite Data Fusion and Machine Learning-Based Geospatial Analysis by Alessandro Vitale, Francesco Lamonaca

“…Compared to more conventional classification methods, the proposed integrated approach ensures scalability, reproducibility, and computational efficiency. …”
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Inventory and Financial Performance selected Publicly listed Manufacturing Indonesian and German Companies by S. P.D. Anantadjaya, P. W. Carmelita, S. Juhara, S. Irdiana, I. Moridu, E. Susanti, I. M. Nawangwulan

“…Inventory management is a fundamental supply chain management phase that affects the country’s economy.The purpose of the study is to determine the effectiveness of inventory management and its impact on the financial performance in the factoring industry, as it has become one of the leading sectors in boosting the development of the national economy.Descriptive and quantitative methods were used, which mainly relied on financial data for 2013–2017 on the selected publicly listed manufacturing companies in Indonesia and Germany based on the LQ45 and DAX stock index, respectively. …”
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Development of the national production of personal protective equipment: Problems of control over state certification and working conditions during martial law by O. Makarevych

“…The purpose of this study was to determine the effectiveness of the mechanisms of state control over the production of personal protective equipment under martial law and to develop recommendations for their improvement to improve product quality and employee safety. …”
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Evaluation of healthcare system's impact on economic growth (case study of the Russian Federation) by Yulia V. Karpovich, Olga A. Zhukova

“…The use of regression analysis will determine the degree of influence of these factors on economic growth. …”
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Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…As train intelligence continues to advance, numerous studies have emerged to explore lightweight techniques for object detection models on onboard equipment, for the purpose of improving calculation efficiency amidst limited resources. This paper proposed a parameter compression algorithm based on low-rank decomposition for the You Only Look Once (YOLO) series of object detection models, aiming to overcome the limited versatility of current lightweight treatment methods for these models. …”
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IDENTIFYING THE HR EXPECTATIONS – PILLAR FOR OPTIMIZING THE LEADERSHIP STYLE by Elena Mihaela ILIESCU, Florin LUNGU

“…With this premise in mind, the objective of this research is to highlight the importance of the new approach, emphasizing that through a better understanding of employee profiles and expectations, leaders can adjust their leadership methods to optimize organizational performance. By embracing an adaptive and personalized approach, leadership becomes a determining factor in increasing organizational performance and motivation. …”
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Educational creative task as the main teaching tool for formation of compositional abilities of prospective leaders of the studio of decorative and applied creativity by Ekaterina S. Sachkova

“…The method of diagnostics of level of formation of compositional abilities of students is the qualitative assessment by the expert on criteria of visual perception of results of accomplishment by students of control compositional tasks. …”
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Led source of light with high light circuit by R. R. Shiriev, A. N. Borisov, A. A. Valeev

“…Suggest a way to improve the heat transfer properties of the radiator of the LED light source.METHODS. When solving the tasks set, the method of retrospective-prospective meta-analysis was used, computer programs of automatic design systems and direct determination of technical parameters using measuring instruments were used.RESULTS. …”
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Pea dispersion as a basis for the production of fermented products by D. A. Samsonova, S. Barua, M. D. Gurda, N. V. Iakovchenko

“…The Methods. The research was conducted in the laboratories of the Faculty of Biotechnology of ITMO University. …”
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On the Issue of the Effectiveness of the Department for Registration of Medicines by A. V. Foteeva, N. A. Koneva, N. B. Rostova

“…Assessing critical steps in the generic drug registration process to improve the efficiency and organization of the Regulatory Affairs department.Materials and methods. …”
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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

“…Methods: Six ML algorithms were used to predict health insurance claims, and their performance was evaluated using various metrics. …”
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Feature Parameters Computation of Underground Coal Mining Space Coupled Probability Integral Model With SBAS-InSAR Subsidence Data by Yujie Wang, Jin Zhang, Yahong Liu

“…However, most of the existing localization methods are geophysical techniques, whose efficiency seems to be a challenge. …”
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Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model. by Rui Meng, Kristofer E Bouchard

“…However, many current methods fail to extract latent spaces that are clearly structured by exogenous variables. …”
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Ways to integrate artificial intelligence technologies into training programs for government and municipal employees by A. O. Bidzhiev, L. A. Filimoniuk

“…The conceptual change in the requirements to the professional competencies of public and municipal employees, consisting in the need to expand their knowledge, skills and abilities in the field of digital technologies and artificial intelligence technologies, which can significantly improve the efficiency and responsiveness of managerial decisions and public and municipal services, determines the need to integrate artificial intelligence technologies into training programs for public servants. …”
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RUSSIAN MEDICAL UNIVERSITIES IN INTERNATIONAL RANKINGS: COMPARISON OF SCIENTOMETRIC CRITERIA by M. B. Khrustalev, N. Yu. Turbina, A. A. Maksimova

“…The parameters of academic efficiency along with reputation indicators become the main criteria for inclusion in international and domestic rankings and thus affect the financial well-being of the university.The objective of this study is to compare the indicators of scientific activity of the largest Russian medical universities and the foreign non-English speaking university that conducts training in medicine, according to data obtained from scientometric databases and to determine the prospects for including Russian medical universities into the leading international rankings.Material and methods. …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…In the drug discovery process, traditional structure-based virtual screening methods, such as molecular docking, are often limited by empirical scoring functions. …”
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