Effect of two deproteinized bone graft materials for socket preservation: a clinical and histological study by Marwa Madi, Nasser S. Al-Naief, Adel S. Alagl

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Cardiological Findings in Children and Adolescents Before and After Guanfacine Treatment for Attention Deficit and Hyperactivity Disorder by Bekir Yükcü, Bedia Sultan Önal, Cansu Çobanoğlu Osmanlı, Gülsüm Yitik Tonkaz, Berkan Şahin

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Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties by Éva Kenyeres, Alex Kummer, János Abonyi

“…This paper introduces a methodology for handling different types of uncertainties during robust optimization. In real-world industrial optimization problems, many types of uncertainties emerge, e.g., inaccurate setting of control variables, and the parameters of the system model are usually not known precisely. …”
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A New Hybrid Machine Learning Method for Stellar Parameter Inference by Sujay Shankar, Michael A. Gully-Santiago, Caroline V. Morley

“…Here we introduce a hybrid ML (HML) method combining automatic differentiation, interpolation, and Bayesian optimization to infer stellar parameters of stellar spectra. …”
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Green Technology Game and Data-Driven Parameter Identification in the Digital Economy by Xiaofeng Li, Qun Zhao

“…In addition, the stability of eight pure strategy equilibrium points is examined through Jacobian analysis, revealing the evolutionary trajectories and local stability features across various strategic configurations. These findings offer theoretical guidance for optimizing green policy design and identifying behavioral pathways, while establishing a foundation for data-driven modeling of dynamic evolutionary processes.…”
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Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization by Weijie Tan, Xi’an Feng

“…A novel gridless direction finding method is proposed via the low-rank covariance matrix approximation, which is based on a reweighted nuclear norm optimization. …”
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Optimizing sustainable blended concrete mixes using deep learning and multi-objective optimization by Rupesh Kumar Tipu, Preeti Rathi, Kartik S. Pandya, Vijay R. Panchal

“…The Multi-Objective Particle Swarm Optimization (MOPSO) algorithm finds multiple optimal solutions which simultaneously optimize three competing objectives that include strength maximization and cost minimization and cement reduction. …”
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Beta Diversity Patterns and Drivers of Macroinvertebrate Communities in Major Rivers of Ningxia, China by Qiangqiang Yang, Zeyu Wei, Xiaocong Qiu, Zengfeng Zhao

“…Fifty sampling points were set up along the major rivers of the Yellow River Irrigation Area (YRIA), the Central Arid Zone (CAZ), and the Southern Mountainous Area (SMA) in Ningxia in April, July, and October 2023. The findings demonstrate that the optimal parameter-based geographical detector (OPGD) model identified a 3000 m circular buffer as the spatial scale at which landscape structure most significantly influences water quality. …”
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An intelligent SWMM calibration method and identification of urban runoff generation patterns by Zixin Yang, Zixin Yang, Zixin Yang, Jiahong Liu, Jiahong Liu, Jiahong Liu, Youcan Feng, Youcan Feng, Youcan Feng, Jia Wang, Jia Wang, Hao Wang, Hao Wang, Hao Wang, Changhai Li, Changhai Li, Changhai Li

“…The accuracy of urban runoff simulation using the Storm Water Management Model (SWMM) largely depends on parameter calibration. This study proposes a universal and effective method to enhance model accuracy by optimizing parameter value ranges through an unsupervised intelligent clustering algorithm. …”
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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

“…Comparative analysis against recent state-of-the-art algorithms demonstrates that mHLOA achieves superior classification accuracy, selects a reduced yet highly effective feature subset, and exhibits robustness in high-dimensional FS tasks. These findings affirm the potential of mHLOA as a powerful optimization framework for advanced feature selection and complex optimization problems.…”
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On-board radar complex for high-precision direction finding of radio sources for autonomous guidance of winged UAVs by Eduard Tserne, Semen Zhyla, Anatoliy Popov, Dmytro Vlasenko, Denys Kolesnikov, Olha Inkarbaieva, Volodymyr Kosharskyi, Hlib Cherepnin

“…Objectives of the research: 1) analysis of the statistical theory of optimization of signal processing algorithms in radar systems; 2) synthesis of direction-finding algorithms for radio measurement sources capable of performing measurements with high accuracy and in a wide range of unambiguous measurement angles; 3) synthesis of the radio direction finder structural scheme and its simulation modelling; 4) design of radio direction finder receiving antennas capable of operating separately and in a complex; 5) justification of the choice of components for the input paths of receivers, parameters of ADC and microcomputers that make up the main components of the radar complex; 6) manufacturing of a working model of the radar complex; 7) experimental measurements in the laboratory. …”
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Hybrid Rotor Noise Optimization by Philipp Mandl, Laura Babetto, Eike Stumpf, Christian Breitsamter

“…These findings highlight the importance of rotor geometry optimisation during the early design stages in order to meet both performance and noise requirements.…”
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A Study on the Effect of Toroidal Propeller Parameters on Efficiency and Thrust by Ji Wu, Qingchun Wang, Hugh Deasy, Junyu Hang

“…Consequently, the study’s findings facilitate the selection of parameter combinations that yield higher efficiency or thrust coefficients.…”
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Influence of Spaying Parameters on the Property of Detonation Coatings Based on Ta by D.N. Kakimzhanov, Z.A. Satbayeva, M.K. Dautbekov, Y.S. Turabekov, R.M. Kuanyshbay, A.S. Rustemov

“…Additionally, the tests revealed that coatings produced at 60% fill exhibited superior corrosion resistance compared to the other samples. Based on these findings, the optimal barrel fill level for explosive gas was determined. …”
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Finite Mixture Model-Based Analysis of Yarn Quality Parameters by Esra Karakaş, Melik Koyuncu, Mülayim Öngün Ükelge

“…This study investigates the applicability of finite mixture models (FMMs) for accurately modeling yarn quality parameters in 28/1 Ne ring-spun polyester/viscose yarns, focusing on both yarn imperfections and mechanical properties. …”
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Impact of process parameters on the mechanical and surface properties of AA6082 by Bilgehan Tunca, Bahadır Karaca

“… This study investigates the effects of chemical composition, heat treatment, and processing parameters on the mechanical properties, microstructure, and surface quality of AA6082 aluminium alloy. …”
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Estimation of parameters and hypothesis testing of multivariate spatial autoregressive model by Sutikno, Purhadi, Fachrunisah, Fajar Dwi Cahyoko

“…The findings confirm that the proposed model yields unbiased and consistent parameter estimates. …”
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Effect of Spirulina on the Rumen Microbiota and Serum Biochemical Parameters of Lambs by Zhijun Wang, Xiangdong Liu, Muqier Zhao, Weiqin Ma, Yuxuan Wang, Yushan Jia, Gentu Ge

“…These results suggest that the addition of Spirulina is more beneficial for serum biochemical parameters and rumen microbiota of lambs. Overall, these findings contribute to the development of strategies to improve rumen microbial communities for healthy ecosystems on the Mongolian Plateau and provide a scientific basis for the use of Spirulina in feed.…”
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Evaluating dynamics of water yield and its driving forces in the Taihang Mountain Region, China by Bo Guo, Hui Yang, Chunyu Zhu, Ying Guo, Yuhan Zhao, Jiansheng Cao, Yanjun Shen

“…Furthermore, we applied the optimal parameters-based geographical detector (OPGD) to examine the influence of precipitation characteristics on water yield. …”
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Variational quantum multiobjective optimization by Linus Ekstrom, Hao Wang, Sebastian Schmitt

“…Solving combinatorial optimization problems on near-term quantum devices has gained a lot of attention in recent years. …”
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