To the 110 anniversary since the birth of professor E.A.Vasyukova by Alexandr Sergeevich Ametov, Elena Valerievna Doskina, Irina Ivanovna Kochergina, Olga Mikhailovna Smirnova, Ekaterina Evgenyevna Mishina

“…The main areas of her research were the methods of diagnostics and treatment of diabetes, Cushing's disease, thyroid diseases, abnormalities of reproductive growth. …”
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Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Studies that discuss only the development of algorithms or applications for the assessment of diseases or unavailable full texts will be excluded. …”
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Carbon co-benefits of digital economy and green finance: empirical evidence from China by Yayun Ren, Xiaohang Xu, Yantuan Yu, Zhenhua Zhang

“…These findings are robust across various validation tests, including time-placebo test, alternative model specification, and double machine learning algorithms. According to mechanisms analysis, improving green technological innovation and human capital level are the main channels that DEGF produces carbon co-benefits. …”
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Shape optimization using a level set based mesh evolution method: an overview and tutorial by Dapogny, Charles, Feppon, Florian

“…In the first part of this work, we overview the main aspects of this numerical strategy. After a brief presentation of some necessary background material – related to shape optimization and meshing, among others – we describe the numerical schemes involved, notably when it comes to the practice of the level set method, the remeshing algorithms, and the considered optimization solver. …”
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Critical Thinking Skills of Slow Learners in Mathematical Problem-Solving: A Systematic Literature Review by Sulfiati, Irwan Akib, Muhammad Muzaini

“…Findings identify four main categories of errors (conceptual, principled, algorithmic, and computational) commonly encountered by slow learners, emphasising the necessity of tailored teaching methods and technological interventions. …”
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Methodological Tools for Evaluating Effectiveness of Capital Construction Projects of Oil Producing Enterprises by E. L. Chazov, V. P. Grakhov, O. L. Simchenko

“…Due to the fact that most of the large oil fields in Russia, characterized by high production costs, are at the final stage of development; the issue of cost optimization has become increasingly important in recent years. The main cost items at oil and gas enterprises are design and construction (reconstruction) of oil field facilities. …”
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Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data by Ladislav Zjavka

“…First, acceptable daily load sequences for the attached equipment are combined and determined according to the RE potential and charge states in accommodation to user needs and normal operation. The main motivation is a consequent day-to-day verification of algorithmically scheduled power consumption tasks in the proposed two-stage optimisation according to the system resources and user needs. …”
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Revolutionizing Midwifery Education : A Scoping Review of Artificial Intelligence Methods by Harridhil Silmi, Ari Indra Susanti

“…Despite these advancements, challenges such as ethical concerns (algorithmic bias, privacy issues), poor data quality, limited AI expertise among educators, and resistance to change in traditional learning environments were noted. …”
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Flow Improvement in Evacuation Planning with Budget Constrained Switching Costs by Ram Chandra Dhungana, Tanka Nath Dhamala

“…Many large-scale natural and human-created disasters have drawn the attention of researchers towards the solutions of evacuation planning problems and their applications. The main focus of these solution strategies is to protect the life, property, and their surroundings during the disasters. …”
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Systemic AL Amyloidosis and Precision Medicine by Axel Rüfer, Rahel Schwotzer

“…The severity of heart involvement and the burden of the pathological light chains are the main prognostic determinants in AL amyloidosis. This review discusses the diagnostic algorithms in suspected amyloidosis, the need for typing of the amyloid for prognostic and therapeutic reasons, and the recent developments in the risk-adapted treatment of AL amyloidosis. …”
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AI in Agriculture: Advanced Smart Irrigation for Enhanced Crop Yields by Rahman F.

“…The work presented here concentrates on designing and realizing an advanced AI driven smart irrigation system for tackling the main issues like water scarcity and inefficient irrigation practices that diminish crop productivity and waste resources. …”
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Analysis on Acoustic Disturbance Signals Expected During Partial Discharge Measurements in Power Transformers by Michał KUNICKI

“…Finally, observed properties also provide a solid basis for establishing or improving complete classification method based on the artificial intelligence algorithms.…”
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Artificial Intelligence Ethics in Organizational Human Resources Management by Behnoush Jovari

“…There are whispers about whether or not Artificial Intelligence (AI) will become more powerful in the field of competition with the human resources of organizations. The main problem for organizations to use AI is the mental ambiguity of their organizational resources about this intelligence in the field of professional ethics. …”
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Bridging Plant Biotechnology and Additive Manufacturing: A Multicriteria Decision Approach for Biopolymer Development by Aarthi S., Raja S., Maher Ali Rusho, Simon Yishak

“…A multicriteria decision-making (MCDM) approach, integrated with machine learning (ML) algorithms, is suggested to enable optimal material selection based on printability, biodegradability, and mechanical properties. …”
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Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance. by Soheil Mohammadi, Ali Jahanshahi, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Negin Frounchi, Ali Guermazi

“…<h4>Conclusion</h4>The results of this study imply the lower diagnostic performance of AI-based algorithms in knee meniscal injuries compared with clinicians.…”
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Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. …”
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Simultaneous Instance and Attribute Selection for Noise Filtering by Yenny Villuendas-Rey, Claudia C. Tusell-Rey, Oscar Camacho-Nieto

“…Removing or reducing noise can help classification algorithms focus on relevant patterns, preventing them from being affected by irrelevant or incorrect information. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…Stress monitoring may be supported by valid and reliable machine-learning algorithms. However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses. …”
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Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Processing of big volumes of satellite data and creating climatological datasets on breaks became possible owing to the development of algorithms for automatic identification of the ice breaks in images. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The main problem of using standard optimization methods is the need to change all parameters in same-size steps, regardless of the behavior of the gradient. …”
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