Efficacy and safety of epaminurad, a potent hURAT1 inhibitor, in patients with gout: a randomized, placebo-controlled, dose-finding study by Jae-Bum Jun, Hye-Soon Lee, Sang-Hyon Kim, Seung-Geun Lee, Doo-Ho Lim, Jinhyun Kim, Yong-Beom Park, Mie Jin Lim, Seung-Jae Hong, Hyo-Jin Choi, Shin-Seok Lee, Hyun Ah Kim, Jiwon Hwang, Chang-Hee Suh, Seungwoo Han, Jung-Yoon Choe, Wan-Hee Yoo, Jung Soo Song

“…The aims of the current study were to evaluate the urate-lowering efficacy and safety of epaminurad compared with placebo in patients with gout, and to determine the optimal dose. Methods This multicenter, randomized, double-blind, placebo-controlled, dose-finding phase 2b clinical trial, which incorporated a standard-treatment reference arm, enrolled patients aged 19–70 years with gout and sUA level ≥ 0.42 mmol/L. …”
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Modelling and optimization for cognitive radio networks with preemption backoff mechanism by Yuan Zhao, Zhiyu Xiang, Kang Chen, Zhisheng Ye, Qi Lu

“…At last, we design a cost function by compromising various performance indices and find the optimum parameter combination under the lowest system cost through the Transient Search Optimization (TSO) algorithm. …”
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Optimal control for system of stochastic differential equations with Lévy jumps by Md. Abdullah Bin Masud, Mostak Ahmed

“…The model includes time-dependent vaccination and isolation control strategies under parameter uncertainty. We solve the optimal control problem using Pontryagin’s Maximum Principle and perform numerical simulations to assess the influence of different noise sources on infection dynamics and control performance. …”
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Aerodynamics-guided machine learning for design optimization of electric vehicles by Jonathan Tran, Kai Fukami, Kenta Inada, Daisuke Umehara, Yoshimichi Ono, Kenta Ogawa, Kunihiko Taira

“…Current approaches to optimizing vehicle aerodynamics require a vast amount of computational studies and physical experiments, which are expensive when performing parameter sweeps over conceivable geometric configurations, suggesting the need for more efficient surrogate models to assist analysis. …”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…The fitting algorithm yielded a mean absolute error (MAE) of 0.0069, demonstrating a close alignment between simulated and observed data. The optimized parameter values were used to project future TB dynamics. …”
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Volute Optimization Based on Self-Adaption Kriging Surrogate Model by Fannian Meng, Ziqi Zhang, Liangwen Wang

“…Optimizing the volute performance can effectively improve the efficiency of a centrifugal fan by changing the volute geometric parameter, so the self-adaption Kriging surrogate model is used to optimize the volute geometric parameter. …”
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Differential evolution-optimized gold nanorods for enhanced photothermal conversion by Aimad Koulali, Piotr Radomski, Paweł Ziółkowski, Francesca Petronella, Luciano De Sio, Dariusz Mikielewicz

“…The aspect ratio (AR), defined as the ratio of the diameter to the length of the AuNRs, was a key parameter in the optimization process. The optimization results reveal that for shorter wavelengths, near-spherical AuNRs (AR of 0.71 and 0.75) demonstrate the highest efficiency, while for longer wavelengths, more elongated AuNRs (AR of 0.24 and 0.17) outperform others. …”
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Optimization of compressor unit operation using artificial intelligence technologies by Alexander E. Vlasov, Lyubov V. Lazareva

“…Based on the model, an optimizer was built using gradient descent, which, under established input data restrictions, finds the optimal operating parameters of the compressor unit in specified ranges that minimize fuel gas consumption. …”
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An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization by Yetao Ji, Jiaze Tu, Hanfeng Zhou, Wenyong Gui, Guoxi Liang, Huiling Chen, Mingjing Wang

“…First, an adaptive transformation parameter is proposed to make transformation more flexible between global search and local exploitation. …”
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Optimal equivariant architectures from the symmetries of matrix-element likelihoods by Daniel Maître, Vishal S Ngairangbam, Michael Spannowsky

“…Even though Lorentz invariance and permutation invariance over all reconstructed objects are the largest and most natural symmetry in the input domain, we find that they are sub-optimal in most practical search scenarios. …”
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Chemical kinetic models, reaction mechanism estimation, and thermodynamic parameters for the non-isothermal decomposition of trona ore by Ceren Eda Delikurt, Meltem Kizilca Coruh

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Chaos-Enhanced Fractional-Order Iterative Methods for the Stable and Efficient Solution of Nonlinear Engineering Problems by Mudassir Shams, Bruno Carpentieri

“…To address challenges related to memory effects and instability in existing approaches, the proposed scheme incorporates parameter optimization through chaos and bifurcation analysis. …”
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Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations by Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li, Yongshan Liang, Yubao Wang, Alexander Winkler, Shijie Jiang

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Parametric Optimization of Electric Discharge Machining for AISI 1045 Steel by Muhammad Mansoor Uz Zaman Siddiqui, Syed Amir Iqbal, Ali Zulqarnain, Adeel Tabassum

“… This study investigates the optimization of Electric Discharge Machining (EDM) parameters for AISI 1045. …”
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Using Laser Profilometry to Investigation FDM Printing Parameters for Outer-Perimeter Analysis and Surface Quality Improvement by Olha Kalman, Jozef Husár, Peter Lazorík

“…The results also showed that the samples printed with these optimized parameters had the lowest variability, underscoring the critical importance of precisely managing these factors. …”
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1.7 MV Tandem Accelerator Beam Tuning Optimization by JIANG Ran, LI Ailing, CUI Baoqun, TANG Bing, CHEN Haonan, WANG Yunfeng

“…During these trials, this paper not only scrutinized the algorithm’s performance but also implemented optimizations and enhancements based on empirical findings. …”
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Insights into Optimal Schemes of Radial Network Arch Pedestrian Bridge by Rimantas Belevičius, Dainius Rusakevičius, Saulius Valentinavičius

“…The main objective of the article is to find the optimal ranges of the cardinal topological, shape, and dimensional parameters that fully describe the constructional scheme of pedestrian radial network arch bridges of moderate spans. …”
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Optimal Microwave Ablation Conditions for the Efficient Lung Carcinoma Treatment by Marija Radmilović-Radjenović, Branislav Radjenović

“…Understanding these properties helps optimize MWA parameters, such as power, for better treatment outcomes. …”
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VGG-16 Accuracy Optimization for Fingerprint Pattern Imager Classification by Agus Andreansyah, Julian Supardi

“…The results of the study show the highest accuracy of 100% on the test data with the optimized parameters.These findings demonstrate that the optimized VGG-16 model successfully classifies fingerprint images with optimal performance. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The article addresses a relevant issue of improving the accuracy of spectral analysis in computerized systems by optimizing window functions used in the Discrete Fourier Transform (DFT). …”
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