Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

“…Subsequently, we highlight the main AI and ML models used in resistance prediction, including but not limited to Support Vector Machines, Random Forests, and Deep Learning networks. …”
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Implementation of Machine Learning in Flat Die Extrusion of Polymers by Nickolas D. Polychronopoulos, Ioannis Sarris, John Vlachopoulos

“…The dataset encompassed variations in die geometry by varying the gap under a restrictor, polymer rheological and thermophysical properties, and processing conditions, including throughput rate and temperatures. …”
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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

“…The ProAPT model utilizes a Markov Decision Process to simulate and assess potential threats, dynamically adapting to the evolving security landscape. …”
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With romantic gifts to the contemporary popular literature: On the issue of the phenomenon of fan fiction and its genre-poetic aspects by Alekseeva, Ulyana Sergeevna

“…Special attention is paid to lyrical experiences. The romantic vector determines the genre priorities. Genres: alternative universe, drama, angst follow immediately after romance, which takes first place on Ficbook. …”
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Mechanosensitive molecular interactions in atherogenic regions of the arteries: development of atherosclerosis by E. L. Mishchenko, A. M. Mishchenko, V. A. Ivanisenko

“…A terrible disease of the cardiovascular system, atherosclerosis, develops in the areas of bends and branches of arteries, where the direction and modulus of the blood flow velocity vector change, and consequently so does the mechanical effect on endothelial cells in contact with the blood flow. …”
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Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry by Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi

“…Four algorithms were used: an Artificial Neural Network (ANN), Random Forest Regression (RFR), Linear Regression (LR), and Support Vector Regression (SVR). The dataset used consisted of nine numeric sensor variables. …”
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Quantifying uncertainty in robotics trajectories: A time-dependent approach using polynomial chaos expansion by Keenjhar Ayoob, Tayyab Zafar, Amir Hamza, Zhonglai Wang

“…In addition, neural networks and support vector regression models are also employed for performance comparison. …”
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Thermodynamic Analysis of Catalytic Urea Steam Reforming for Decentralized Hydrogen Production by Leticia M. S. Barros, Bruna G. Floriam, Jean Felipe Leal Silva, Verena S. Bombonatti, Aulus R. R. Bineli, Chayene G. Anchieta, Rubens Maciel Filho

“…Urea (CO(NH2)2) is a hydrogen vector that has been underexplored in the literature but holds potential due to its well-established supply chain, non-toxic nature, and affordability. …”
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Antifungal activity of Chaetomium globosum transformated with an endochitinase gene, chbi, from Trichoderma viride by LU Jian-ping, LIN Fu-cheng, LI De-bao

“…In order to find out the roles of endochitinase during biocontrol process in Chaetomium globosum, a 42 kDa endochitinase gene (chbi) cloned from the genomic DNA of Trichoderma viride was transferred to C. globosum isolates CG10 and CG12 separately by fungal transformation vector pECHBI. …”
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HEARING CORRECTION METHOD BASED ON PSYCHOACOUSTICALLY MOTIVATED FREQUENCY TRANSPOSITION IN A SPEECH SIGNAL by M. I. Porhun, M. I. Vashkevich

“…The purpose of the work was to develop a speech signal processing method for the hearing pathologies correction based on psychoacoustically motivated transposition of high-frequency components of the signal spectrum to the low-frequency region with subsequent frequency-dependent amplification. …”
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Cultural Approach to Education in the East: Consolidating Practices and Prospects for Russia by Margarita A. Yurchenko

“…The analysis yielded some guidelines that could fit into the Russian context while promoting the values of a multipolar world and encouraging young Russians to adopt a more active social position: 1) infrastructure provision; 2) personnel selection; 3) involvement of all subjects of the academic process as a guarantee of success; 4) interdisciplinary vector of modernization of academic content and methods. …”
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Techno-Economic Assessment of Hydrogen-Based Power-to-Power Systems: Operational Strategies and Feasibility Within Energy Communities by Lucia Pera, Marta Gandiglio, Paolo Marocco

“…Within this framework, hydrogen emerges as a promising energy storage vector, offering a viable solution to the flexibility challenges caused by the inherent variability of RESs. …”
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Graph-based fault diagnosis for rotating machinery: Adaptive segmentation and structural feature integration by Moirangthem Tiken Singh

“…Combining graph-theoretic analysis with statistical signal processing eliminates the need for resource-intensive models, making it ideal for industrial fault diagnosis and predictive maintenance applications.…”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

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Detection of Orienting Response to Novel Sounds in Healthy Elderly Subjects: A Machine Learning Approach Using EEG Features by Emine Elif Tülay

“…Different classifiers including Support Vector Machine (SVM) with Linear and Polynomial kernels, Linear Discriminant Analysis (LDA), and Naive Bayes were fed by ERSP features obtained from varying frequency bands and time domains. …”
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Sentiment Analysis of Public Satisfaction with the 'INFO BMKG' Application using Naive Bayes, SVM, and KNN by Natasya Aditiya, Pratomo Setiaji, Supriyono Supriyono

“…This research employs three classification algorithms—Naive Bayes, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—to categorize user reviews into positive, neutral, or negative sentiments. …”
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Differential proteomics and functional research following gene therapy in a mouse model of Leber congenital amaurosis. by Qinxiang Zheng, Yueping Ren, Radouil Tzekov, Yuanping Zhang, Bo Chen, Jiangping Hou, Chunhui Zhao, Jiali Zhu, Ying Zhang, Xufeng Dai, Shan Ma, Jia Li, Jijing Pang, Jia Qu, Wensheng Li

“…To clarify the proteomic differences in LCA eyes, a cohort of retinal degeneration 12 (rd12) mice, an LCA2 model caused by a mutation in the RPE65 gene, were injected subretinally with an AAV vector (scAAV5-smCBA-hRPE65) in one eye, while the contralateral eye served as a control. …”
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Models and methods of strategic business management during armed conflict by I. O. Bobyliev, N. М. Chupryna

“…The results of the study show that effective strategic management in wartime includes crisis management, decentralisation of decision-making, development of multi-vector strategies, and use of modern digital solutions. …”
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An enhanced machine learning approach with stacking ensemble learner for accurate liver cancer diagnosis using feature selection and gene expression data by Amena Mahmoud, Eiko Takaoka

“…We employed a feature selection process to identify the most relevant gene expressions associated with liver cancer. …”
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Exploiting Contextual Word Embedding of Authorship and Title of Articles for Discovering Citation Intent Classification by Muhammad Roman, Abdul Shahid, Muhammad Irfan Uddin, Qiaozhi Hua, Shazia Maqsood

“…Text information can contribute well if new natural language processing techniques are applied to capture the context of text data. …”
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