Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study by Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos

“…Various antihypertensive drugs exhibit differential effects on PWV, but the extent to which these effects vary depending on individual patient characteristics is not well understood. Given the complexity of selecting the most appropriate antihypertensive medication for reducing PWV, machine learning (ML) techniques offer an opportunity to improve personalized treatment recommendations. …”
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Sensitivity of Band-Pass Filtered In Situ Low-Earth Orbit and Ground-Based Ionosphere Observations to Lithosphere–Atmosphere–Ionosphere Coupling Over the Aegean Sea: Spectral Analy... by Wojciech Jarmołowski, Anna Belehaki, Paweł Wielgosz

“…This study demonstrates a rich complexity of the time–frequency ionospheric signal spectrum, dependent on the measurement type and platform. …”
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The Effectiveness of Instruction Based on the Four-Component Instructional Design (4C-ID) Model on Meaningful Learning and Critical Thinking in Sixth-Grade Students of Ardabil by Nader Heidari Raziabad, Vahid Rahimzadeh, Ali Khaleghkhah

“…Educational design is a teaching and learning tool that makes educational materials more effective and efficient (Qasemi Samani et al., 2020). The theoretical perspective of the model (4C-ID) is that complex skill training should be guided by principles that promote learning and transfer of learning (Wade & et al, 2020). …”
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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

“…The RBF algorithm with highest Coefficient of Determination (R2) value of 0.81 and the lowest Mean Absolute Errors (MAE) and Root Mean Square Error (RMSE) values of 148.61 kg.ha-1, and 185.31 kg.ha-1, respectively, was the most accurate algorithm and, therefore, selected as the metaClassifier for the E-B algorithm. …”
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Sustainable planning of solar plants: bibliometry and integration of GIS-multicriteria methods by Gustavo Leite Gonçalves, Lucia Maria de Araujo Lima Gaudencio, Rui de Oliveira, Ruth Silveira do Nascimento

“…In summary, the examined methodological model proves effective for selecting locations for solar plant installation and operation sustainably and efficiently. …”
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Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…The material library represents a significant contribution to addressing the challenges posed by CDW management, promoting a more efficient use of resources and reducing the environmental impact of construction and demolition activities. …”
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從工具示能性與關係行動主體之觀點 探討偏鄉教育系統賦能策略之研究 Investigating the Construction of Empowerment Action Models in Remote Educational Systems Through the Lenses of Tool Affordance and Relational Age... by 陳佩英 Peiying Chen, 洪琴雯 Chin-Wen Hung

“…Conclusion In conclusion, the complex problems embedded in rural schools in terms of structure and system still require policy support. …”
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A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…The main problem is to extract and select the right features to use in the classification stage. …”
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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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Theoretical and numerical modeling of a shallow foundation stiffness based on the theory of elastic half-space by Pakos Wojciech, Helowicz Andrzej

“…Model A represents a complex three-dimensional numerical model that consists of a reinforced concrete frame structure, which has a soil layer beneath it. …”
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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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Fast real-time detection and counting of thrips in greenhouses with multi-level feature attention and fusion by Zhangzhang He, Xinyue Chen, Ying Gao, Yu Zhang, Yuheng Guo, Tong Zhai, Xiaochen Wei, Huan Li, Haipeng Zhu, Yongkun Fu, Zhiliang Zhang, Zhiliang Zhang

“…Their tiny size, rapid reproduction, and wide host range make them prone to outbreaks, necessitating precise and efficient population monitoring methods. Existing intelligent counting methods lack effective solutions for tiny pests like thrips. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…As an emerging rapid manufacturing technology, 3D printing has been widely applied in numerous fields such as aerospace, shipbuilding, and wind power, by virtue of its advantage in efficiently fabricating components with complex structures and integrated functions. …”
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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm for a given task. …”
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Identification of Potential Inhibitors of Histone Deacetylase 6 Through Virtual Screening and Molecular Dynamics Simulation Approach: Implications in Neurodegenerative Diseases by Anas Shamsi, Moyad Shahwan, Azna Zuberi, Nojood Altwaijry

“…Selective inhibitors have thus been the focus of development over the past decade, though no selective and potent HDAC6 inhibitor has yet been approved. …”
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Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning by Tingwei Song, Liang Guo, Qian Sun, Guizhen Gao, Jing Chen, Qikun Zhang

“…This study integrated hyperspectral technology with machine learning algorithms to model complex nonlinear relationships and to select the optimal SWHC model. …”
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Information-Theoretical Analysis of Team Dynamics in Football Matches by Yi-Shan Cheng, Acer Yu-Chan Chang, Kenji Doya

“…We focused on how collective behaviors arise from the interdependence of individual actions, examining team coordination and dynamics through player positions and movements to identify emergent properties. Specifically, we selected relative distance to the field’s center, center of mass (CoM) and clustering coefficients based on velocity similarity and inverse distance as macroscopic features to capture the key aspects of team structure, coordination, and spatial relationships. …”
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The Study of Constructivistic Learning Experience, Democratic Attitude, Learning Independence & Learning Motivation of Senior High School Students at Wajo Regency South Sulawesi by Muhammad Arafah, Syamsu Rijal, Sumarni, Suriyah Satar, Besse Sulfiani

“…SEM results show that constructivist biology learning experiences positively influence learning motivation (path coefficient = 0.228), as does learning independence (path coefficient = 0.430). …”
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