A novel approach for determining criteria weights: application in ranking materials for mechanical manufacturing processes by Duc Trung Do, Dung Hoang Tien, Bao Nguyen Chi, Van Duc Duong

“…Material selection is a complex challenge within Multi-Criteria Decision-Making (MCDM). …”
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Nurses’ Knowledge and Attitudes Regarding Artificial Intelligence Technology in Iraq by Islam Mohammed Khalil, Amean A Yasir

“…Objectives: Artificial intelligence (AI) can potentially improve the effectiveness, accuracy, and quality of nursing practice by reducing workload and freeing nurses to concentrate on complex decision-making and direct patient care. This study aimed to assess nurses’ attitudes toward and knowledge of AI technology. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Additionally, we can apply the discussed decision-making methodologies to resolve complex real-life applications, such as renewable energy, medical diagnosis, multi-robotic systems, social selections, and computational and environmental sciences.…”
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Recovery of Volatile Fatty Acids from Fermentation Broth Using Ethyl Acetate as Solvent by Igor F. Fioravante, Riann De Q. Nobrega, Jean Felipe Leal Silva

“…Among the various recovery methods, liquid-liquid extraction is a promising technique due to its high yield and selective separation of VFAs. Ethyl acetate has been identified as a potential solvent for this extraction process, owing to its low cost and favorable partitioning coefficient for VFAs. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…It was also confirmed that AI enablers with a path coefficient of 0.315 have a positive and significant effect on the adoption of these systems. …”
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Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…In this paper, the sensitive parameters for the prediction of total organic carbon content are selected based on the Pearson correlation coefficient matrix, and three machine learning methods are used to model the total organic carbon content. …”
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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization by Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

“…The proposed technique employs Legendre polynomials to parameterize two control actions (the feeding rates of glucose and xylose), and it uses a hybrid optimization algorithm combining Monte Carlo sampling with genetic algorithms for coefficient selection. Unlike traditional optimization approaches based on piecewise parameterization, which produce discontinuous control profiles and require post-processing, this method generates smooth profiles directly applicable to real systems. …”
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Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression by Nahed Zemouri, Hatem Mezaache, Zakaria Zemali, Fabio La Foresta, Mario Versaci, Giovanni Angiulli

“…This process effectively extracts meaningful components while reducing background noise, improving data quality, and minimizing uncertainty. The complexity of these components is assessed using entropy-based selection to retain only the most relevant features. …”
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An Efficient Topology Construction Scheme Designed for Graph Neural Networks in Hyperspectral Image Classification by Yu Zhang, Xin Li, Yaoqun Xu

“…Superpixel-based Graph Neural Networks (GNNs) have achieved remarkable success in hyperspectral image (HSI) classification tasks, primarily due to their ability to capture the implicit topological structure in the data while maintaining low computational complexity by propagating information between spatially adjacent superpixels. …”
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Evaluation of automated streaking patterns in urine culture for clinical workflow optimization by Yasuhide Kawamoto, Norihito Kaku, Norihiko Akamatsu, Fujiko Mitsumoto-Kaseida, Takahiro Takazono, Kosuke Kosai, Hiroo Hasegawa, Koichi Izumikawa, Hiroshi Mukae, Katsunori Yanagihara

“…This study highlighted the critical role of streaking pattern selection in automated streaking systems. While the performance varied depending on the bacterial load and sample complexity, certain patterns demonstrated superior single-colony isolation and consistency. …”
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Finite element ansysis and ISO calculation standard of tooth root bending strengthern of spiral beval gears by FENG Shaokun, WEI Bingyang, XIN Wen, CHENG Bo

“…The calculation of bending strength for spiral bevel gears is complex, making accurate evaluation extremely challenging. …”
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Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…Our Dense-ReLU-Dropout model, using RF and PCA for feature selection, achieves high accuracy with greater computational efficiency compared to existing methods that require more complex models or larger datasets. …”
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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
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Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…Southwest China (SWC) is characterized by complex topography, diverse climate types, and rich vegetation types. …”
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Problems and Prospects for the Application of Neural Networks for the Sphere of Education by T. M. Shamsutdinova

“…Obviously, the practical implementation of complex neural network systems of this level is a very difficult task and can be solved so far only at the level of individual subsystems. …”
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Calculation and Measurement of Dielectric Parameters of Ceramic and Ferroelectric Materials in the Microwave Range by V. S. Severikov, Kong Che Fam, V. I. Melnik

“…Therefore, it is important to determine not only the relative permittivity of the material, but also the control coefficient in the RF– microwave wavelength ranges.Aim. …”
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Simulation Research of Virtual Synchronous Machine Control System with Harmonic Suppression by CHENG Kun, DING Xiying, GONG Jingying, HAN Yan, LI Xiaodong

“…The output of each harmonic droop control is superimposed with the output of fundamental wave domain virtual synchronous machine control to obtain the input of the inverter, stability of the system is analyzed, and droop coefficient that satisfies stable operation of the system is selected. …”
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Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

“…Effective product functions (PFs) are then selected using the Pearson correlation coefficient, enabling signal reconstruction that suppresses noise interference while preserving fault impact components. …”
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Relationship between Core Stability Muscle Endurance and Static and Dynamic Balance in Basketball Players by farzaneh saki, masumeh Baghban

“…Objective: Balancing is the most basic function of the neuromuscular system in performing all simple and complex activities that contribute to health-related physical fitness. …”
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Clinical and Epidemiological Assessment of the Epidemic Process of COVID-19 in Hostels Depending on the Type of their Planning Device by A. V. Zadoroshnyy, N. Yu. Pshenichnaya, S. V. Ugleva, A. A. Erovichenkov, V. G. Akimkin, V. V. Maleev, D. V. Usenko

“…The contagiousness of the virus in combination with a long course of focal morbidity led to the development of severe forms of COVID-19. The coefficient of occurrence of severe forms of COVID-19 on average in isolated dormitories was equal to 1.1%, while in dormitories of the reported type, the studied coefficient was 11 times higher and averaged 11.6%.Conclusion. …”
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