Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

“…Four basic ML algorithms including support vector machine (SVM), K-nearest neighbor (kNN), decision tree (DT), and naive Bayes (NB), and five deep learning models including convolutional neural network (CNN), long-short term memory (LSTM), bidirectional long short-term memory (BiLSTM), and CNN-BiLSTM were used to process the EMG signals recorded under different gaits. …”
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Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review by Aleksandar Aleksić, Danijela Tadić, Nikola Komatina, Snežana Nestić

“…Failure Mode and Effects Analysis (FMEA) is a proactive management technique widely used to improve the reliability of products and processes across various business sectors. Due to rapid changes stemming from uncertain environments, numerous studies have proposed different approaches to enhance the effectiveness of the FMEA method. …”
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Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…The OzNet-mRMR-NB model integrates VGG19 for feature extraction, mRMR for feature selection, and Naive Bayes for classification, while Logistic Regression processes flattened feature vectors. The Ensemble CNN, leveraging ResNet and VGG19, outperforms the other models with a testing accuracy of 92.43 %, an AUC score of 0.92, precision of 0.93, and an F1-score of 0.92. …”
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Pixels relationship analysis for extracting building footprints by A. Emelyanov, A. Emelyanov, V. Knyaz, V. Knyaz, V. Kniaz, V. Kniaz, D. Artist

“…First, a convolutional neural network is used to train the binary semantic segmentation model and then regularization and vectorization processes are performed. The main difference from existing methods is a new regularization method based on compiling a neighborhood matrix for each point belonging to the “building” class. …”
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HUMAN RIGHTS CONTENT OF MODERN DIGITAL STRATEGY OF THE EUROPEAN UNION by Natalia V. Bocharova, Oleksander M. Bykov

“…The article is devoted to the study of the process of development of methodological approaches to legal regulation in the field of information and informatization in the EU, with emphasis on the provision of human rights in the conditions of the information society and the definition of vectors of democratic development. …”
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The Metaparadigm of Scientific Knowledge and Interdisciplinary Perspectives on Legal Culture by Maksim V. Zaloilo

“…The purpose of the research is to assess the prospects for applying methods and approaches from the humanities and exact sciences to understand the genesis, prerequisites, patterns, features, trends, and vectors of the evolution of legal culture as a distinct cognitive challenge and a multifaceted phenomenon within state-legal reality. …”
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EDUCATION AND EDUCATIONAL SYSTEM MANAGEMENT: STATUS, TRENDS, PROBLEMS AND PROSPECTS by V. P. Panasyuk

“…The current stage of development of education in Russia, characterized by the continuation of reforms and intense innovation processes, require essential changes in management. …”
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AN ASSESSMENT METHOD FOR THE CONTROL SYSTEMS QUALITY by Г. І. Манко

“…To demonstrate the use of the criterion of information uncertainty, simulation of the PID controller was carried out using Scilab/Xcos tools. The vectors of input and output values ​​obtained as a result of modeling were processed using the formulas introduced in this article. …”
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Direct current electrical fields inhibit cancer cell motility in microchannel confinements by Benjamin Karem Naggay, Saeed Khomeijani Farahani, Xu Gao, Andrew Holle, Ralf Kemkemer

“…In vitro, many cell types respond to electrical fields by migrating along the corresponding electrical field vectors. This process is known as galvano- or electrotaxis. …”
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The Marginal Character’s Specificity in the Texts of German Writers Representing the 1968 Generation by Maryna Orlova

“…These protagonists are the expressions of various types of marginalization, representing those marginal heroes that evolve from the hero-rebel, the hero-lumpen and the hero-emigrant with different vectors for the development of their further marginalization.…”
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DEVELOPMENT OF THE AXIOSPHERE OF THE FUTURE TEACHER IN THE DIALOGUE SPACE OF MODERN EDUCATION by N. A. Astashova, S. K. Bondyreva, A. P. Smantser

“…Introduction. The vector of development of the education system, the choice of its contents, quality and results of training, style and spirit of the relationship of its participants, degree of their informative activity, intellectual and cultural growth are firstly caused by valuable attitudes of participants of the educational process. …”
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FAP-CAR-T cells reduce dystrophic muscle fibrosis, improving adeno-associated virus gene transfer efficacy by Maxime Ferrand, Céline J. Rocca, Guillaume Corre, Valentina Buffa, Sophie Frin, Francine Garnache-Ottou, Elodie Bôle-Richard, Sonia Albini, Isabelle Richard, Anne Galy

“…Single cell transcriptomics revealed that FAP-CAR-T cells triggered cellular interactions with otherwise inactive muscle resident macrophages and depleted specific subsets of FAP-highly-expressing fibro-adipogenic progenitor cells, pointing to their importance in the fibrosis process. Reducing fibrosis with FAP-CAR-T cells enhanced adeno-associated virus (AAV) microdystrophin gene transfer in the model by increasing vector copies, demonstrating that fibrosis is a restriction factor for AAV gene delivery in skeletal muscle. …”
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Equivalent method for DFIG wind farms based on modified LightGBM considering voltage deep drop faults by Xuecheng Liu, Peixiao Fan, Jun Yang, Song Ke, Binyu Ma, Yangzhou Pei, Jian Xu

“…The factors influencing the Crowbar action state and trip-off state of wind turbines are identified, and a feature vector for wind turbine operating states is constructed. …”
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Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish by Yi-Ming Cao, Yan Zhang, Qi Wang, Ran Zhao, Mingxi Hou, Shuang-Ting Yu, Kai-Kuo Wang, Ying-Jie Chen, Xiao-Qing Sun, Shijing Liu, Jiong-Tang Li

“…With the skin spectra of fish, five ML methods, including the extreme learning machine (ELM), random forest (RF), radial basis function (RBF), back propagation (BP), and least squares support vector machine (LS-SVM) methods, were used to predict the PUFAs and EPA + DHA contents. …”
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Alternative therapeutic approaches for combating multi-drug-resistant bacteria: Reverse vaccinology against Enterobacter cloacae by Gabriela Guerrera Soares, Marcelo Silva Folhas Damas, Pedro Mendes Laprega, Rebecca Elizabeth Shilling, Eduarda Oliva Ribeiro Rangel, Louise Teixeira Cerdeira, Murillo Rodrigo Petrucelli Homem, André Pitondo-Silva, Andrea Soares da Costa-Fuentes, Maria-Cristina da Silva Pranchevicius

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Cost-effective strategies for CAR-T cell therapy manufacturing by Luiza Abdo, Leonardo Ribeiro Batista-Silva, Martín Hernán Bonamino

“…Key factors driving these costs include the need for personalized, autologous treatments, transportation to specialized facilities, reliance on viral vectors requiring advanced laboratories, and lengthy cell expansion processes. …”
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Host‐Specificity and Network Structure of Tick Microbiota in Co‐Distributed Species From the Iberian Peninsula by Víctor Noguerales, José de laFuente, Sandra Díaz‐Sánchez

“…These insights enhance our understanding of the complex relationships between ticks, their microbiota, and the surrounding environment, which can lead to improved strategies for managing vectors and controlling pathogens.…”
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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…Six predictive models were assessed for accuracy and generalization: Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbor (KNN), Linear Model (LM), Dragonfly Algorithm-based Deep Neural Network (DNN-DA), and Improved Grey Wolf Optimizer-based Deep Neural Network (DNN-IGWO). …”
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Spectral purification improves monitoring accuracy of the comprehensive growth evaluation index for film-mulched winter wheat by Zhikai Cheng, Xiaobo Gu, Yadan Du, Zhihui Zhou, Wenlong Li, Xiaobo Zheng, Wenjing Cai, Tian Chang

“…Four machine learning algorithms, partial least squares, support vector machines, random forests, and artificial neural network networks (ANN), were used to build the winter wheat growth monitoring model under film mulching, and accuracy evaluation and mapping of the spatial and temporal distribution of winter wheat growth status were carried out. …”
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Scenario forecasting for students’ professional future by V. S. Tretyakova

“…It is established that this structure consists of four content blocks: 1) the desired image of the professional future of the student; 2) analysis of the student potential in accordance with the desired image; 3) the process of transition of the person from the current state to the desired (implementation of the trajectory of development, control); 4) evaluation of results (analysis of achievements, causes and consequences of changes; correction of the vector of development). …”
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