Future marine biofuels in the port of Seattle region by Swaroop Atnoorkar, Kevin Zhang, Kelcie Kraft, Kristin C. Lewis, Emily Newes, Dane Camenzind, Steve Peterson

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Nutritional optimization for bioprocess production of staphyloxanthin from Staphylococcus aureus with response surface methodology: promising anticancer scaffold targeting EGFR inh... by Ahmed M. Nosair, Ahmed A. Abdelaziz, Amal M. Abo-Kamer, Lamiaa A. Al-Madboly, Mahmoud H. Farghali

“…The most optimal conditions resulted in the highest production of STX of OD456 = 0.328, which is approximately 1.5-fold greater than the yield (OD456 = 0.215) obtained from OFAT optimization. …”
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Development and Optimization of <i>Kunzea ericoides</i> Nanoemulgel Using a Quality by Design Approach for Transdermal Anti-Inflammatory Therapy by Koushik Yetukuri, Marakanam Srinivasan Umashankar

“…Nanoemulgels enhance percutaneous drug delivery, sustain release profiles, and improve bioavailability. A central composite design was employed to optimize critical formulation parameters, with ANOVA confirming a statistically significant impact on particle size and drug release kinetics (<i>p</i> < 0.05). …”
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Hyperspectral analysis and inversion model study of water content in magnetite by Yang Bai, Xiaoxiao Xie, Jiuling Zhang, Yuna Jia, Handi Wang

“…Traditional detection methods struggle with complex ore compositions. This study developed a hyperspectral model to estimate moisture in Hebei magnetite. …”
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Design of a Morphing Aircraft Based on Model Predictive Control by Wei Ren, Yingjie Wei, Cong Wang

“…Considering the existence of composite disturbances during the morphing process, a robust model predictive control (RMPC) strategy is proposed, using set containment as the performance index. …”
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Modeling the compressive strength behavior of concrete reinforced with basalt fiber by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom, Paul Awoyera, Siva Avudaiappan

“…Abstract This research investigates the compressive strength behavior of basalt fiber-reinforced concrete (BFRC) using machine learning models to optimize predictions and enhance its practical applications. …”
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Improved active vibration control of a cantilever beam using MFC actuators with Hammerstein model-based hysteresis modeling and VSS-FxLMS control algorithm by Hafiz Muhammad Umar, Lei Zhang, Ruichen Yu, Zhiyuan Gao

“…This study aims to enhance active vibration control in a cantilever beam using macro fiber composite (MFC) actuators. To address the challenge of accurately modeling the complex hysteresis behavior of MFC actuators, an advanced hysteresis modeling technique is employed, integrating a non-symmetric Bouc–Wen model with an Auto-Regressive model with eXogenous inputs (ARX). …”
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Mechanisms and Optimization of Foam Flooding in Heterogeneous Thick Oil Reservoirs: Insights from Large-Scale 2D Sandpack Experiments by Qingchun Meng, Hongmei Wang, Weiyou Yao, Yuyang Han, Xianqiu Chao, Tairan Liang, Yongxian Fang, Wenzhao Sun, Huabin Li

“…A composite optimization strategy—combining high-concentration slugs (0.7% AOS), salt-resistant polymer-enhanced foaming, and multi-round profile control—achieves a 67% reduction in gas channeling. …”
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Deep analysis of chemically treated Jute/Kenaf and glass fiber reinforced with SiO2 nanoparticles by utilizing RSM optimization by S. Jothi Arunachalam, R. Saravanan, T. Sathish

“…An analysis of variance (ANOVA) was conducted to understand the impact of these treatment conditions on the composite properties. To optimize the flexural and hardness attributes, the study employed the desirability function (DF) and response surface methodology (RSM). …”
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Cost-Based Optimal Allocation of Shunt Capacitors in Radial Distribution Networks Considering Load Types Using Crow Search Algorithm by Stephen W. Mathenge, Edwell. T. Mharakurwa, Lucas Mogaka

“…Power flow analysis was conducted via the Backward/Forward Sweep (BFS) method on the IEEE 33-bus system, incorporating four load models: Constant impedance (CZ), constant current (CI), constant power (CP), and composite ZIP. …”
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Active Razor Shell CaO Catalyst Synthesis for Jatropha Methyl Ester Production via Optimized Two-Step Transesterification by A. N. R. Reddy, A. A. Saleh, M. S. Islam, S. Hamdan

“…A five-factor-five-level, two-block, half factorial, central composite design based response surface method was employed for experimental analysis and optimization of Jatropha methyl ester (JME) yield. …”
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Usage of magnetic activated carbon as a potential adsorbent for aniline adsorption from wastewater by Seyed Hatef Hashemi, Mansooreh Soleimani

“…The Sips isotherm and pseudo-second-order models showed the best fit, with R2 values > 0.98 and 0.99, respectively. …”
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MODELING OF INFORMATION TECHNOLOGY OF MATERIAL RESOURCES MANAGEMENT OF A CONSTRUCTION COMPANY by Maryna Novozhylova, Vladyslav Kramarenko, Olga Chub

“…The following methods are used: system analysis, structural analysis, mathematical modeling of complex systems and processes, multicriteria optimization. …”
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Dataset of SCAPS-1D simulated halide perovskite solar cells with SHAP and machine learning-based PCE optimizationZenodo by Ivan E. Novoselov, Alexander M. Gvozdev, Andrey A. Smirnov, Ivan S. Zhidkov

“…The data collection process involved systematically modeling a range of device configurations by varying perovskite compositions, layer thicknesses, and combinations of charge transport layers. …”
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Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

“…A comparative analysis of various machine learning algorithms revealed that an optimized XGBoost model demonstrated superior predictive performance, achieving an R² value of 0.943 and an RMSE of 1.423 for the test dataset. …”
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ANFIS modelling of the strength properties of natural rubber latex modified concrete by Efiok Etim Nyah, David Ogbonna Onwuka, Joan Ijeoma Arimanwa, George Uwadiegwu Alaneme, G. Nakkeeran, Ulari Sylvia Onwuka, Chinenye Elizabeth Okere

“…This study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS), a hybrid AI model that integrates fuzzy logic and neural networks for precise property prediction. …”
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Relationship Between Fat-to-Muscle Ratio and Nonalcoholic Fatty Liver Disease in Middle-Aged and Older Adults with Type 2 Diabetes: Cross-Sectional Study by Zhang L, Sun Y, Zhao Y, Wu X, Han X

“…FMR was established as an independent predictor of fatty liver through multifactorial regression modeling, revealing a risk ratio of 28.171 (95% CI 7.008– 113.248, p&lt; 0.001) in males, while the risk ratio for females was 3.259 (95% CI 1.221– 8.700, p=0.018), indicating higher predictive value in males.Conclusions: FMR was significantly and independently linked to an increased risk of NAFLD in middle-aged and elderly individuals with T2DM, a discovery that underpins the rationale for enhancing targeted interventions and prognostic management for patients with diabetes mellitus and fatty liver disease.Keywords: type 2 diabetes mellitus, fat-to-muscle ratio, non-alcoholic fatty liver disease, body composition…”
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Treatment decisions and surgery variables are predictors of better physical function after total hip and knee arthroplasty: a retrospective cohort study by Janis Nikkhah, Lukas Schöner, Carlos J. Marques, Christoph M. Pros, Reinhard Busse

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Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…In order to further improve the prediction ability of the model, the competitive adaptive reweighting method (CARS) was used to optimize the characteristic band, and a prediction model was established by combining random forest regression (RFR), least squares support vector regression (LSSVR) and particle swarm optimization least squares support vector regression (PSO-LSSVR). …”
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Efficient Removal of Micro-Sized Degradable PHBV Microplastics from Wastewater by a Functionalized Magnetic Nano Iron Oxides-Biochar Composite: Performance, Mechanisms, and Materia... by Huaguo Xia, Nini Duan, Beisi Song, Yuan Li, Hongbin Xu, Ying Geng, Xin Wang

“…The results showed that PHBV removal efficiency correlated positively with MFe@BC dosage, achieving an adsorption capacity of 13.14 mg/g and a removal efficiency of 98.53% at an optimal dosage of 1.5 g/L. Adsorption kinetics fit a pseudo-second-order model (R² = 0.9999), and the isotherm followed the Langmuir model (R² = 0.8440), yielding a theoretical maximum capacity of 31.96 mg/g. …”
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