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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach
Published 2025-07-01“…This innovative design enables simultaneous optimization of regression coefficients and penalty parameters, circumventing the need for ad hoc selection of optimal penalty parameters—a long-standing challenge in conventional LASSO estimation. …”
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Does the COVID-19 pandemic affect the asset allocation performance? Evidence from a composite asset selection approach
Published 2025-08-01“…Abstract This study utilizes version 6 of the regression analysis of time series (RATS) software package to implement the estimation of the bivariate diagonal generalized autoregressive conditional heteroscedasticity (GARCH) model combined with a composite asset selection approach including two hybrid performance measures to solve ‘the trade-off problem between return and risk’ and ‘the inconsistent results from different performance measures’ in the problem of asset allocation within a group of minimum variance portfolios during the pre-COVID-19 and COVID-19 periods. …”
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Branched Sulfonated Polyimide/Sulfonated Methylcellulose Composite Membranes with Remarkable Proton Conductivity and Selectivity for Vanadium Redox Flow Batteries
Published 2020-02-01“…Among all bSPI/s‐MC composite membranes, the optimized bSPI/s‐MC‐20 % composite membrane has the best proton selectivity of 2.45×105 S min cm−3, which is 14.4 times as high as the Nafion 115 membrane. …”
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Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial
Published 2025-04-01“…The method addresses key challenges, including adapting pairwise comparisons to penalized regression, optimizing model selection through subject-level cross-validation, and defining performance metrics via a generalized concordance index. …”
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Selection of Optimal Conditions for the Separation of Curcuminoids by High-performance Capillary Electrophoresis (HPCE) Using Micellar Electrokinetic Chromatography (MEKC)
Published 2022-05-01“…However, the problem of the analysis of curcuminoids in the composition of plant and medicinal objects remains relevant. …”
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Precise Genotype Selection in “PSL2-Xa21” Rice Introgression Lines Using Whole Genome Sequencing
Published 2025-06-01“…Results demonstrated the effectiveness of combining advanced backcross breeding with WGS-assisted selection to develop high-yielding, BB-resistant rice lines. …”
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Selection of optimal polymer joining technology: Insights and decision support through interrelated case studies using CARCACS method
Published 2024-12-01“…The second case study refines this selection by examining various laser welding systems, with fibre lasers emerging as the optimal choice. …”
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Modifying metal ion ratios in nickel-aluminum layered double hydroxide/reduced graphene oxide composites for selective electrochemical detection of antibiotics
Published 2024-12-01“…While electrochemical sensors are promising, they cannot often distinguish between overlapping electrochemical interactions from multiple ATBs, resulting in poor analyte selectivity. To overcome this challenge, we design electrocatalysts consisting of nickel aluminum layered double hydroxides (NiAl-LDH) and their composites by altering the metal ion ratio to adjust the surface properties and selectivity of sensors. …”
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Selection of the optimal version of the rolling rings of stand no. 7 of mill 150 of OJSC “BSW Management Company of Holding “BMC” from various types of high-speed steel, providing...
Published 2020-01-01“…In this regard, there is a need to select the optimal option for the manufacture of rolling rings that can withstand such loads for a sufficiently long period of time. …”
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Microstructure development, mechanical properties and underlying mechanism of micro-TiN-reinforced AlSi10Mg composites fabricated by selective laser melting
Published 2023-01-01“…In this study, aluminum matrix composites reinforced with micro-TiN were fabricated using selective laser melting (SLM) technique. …”
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Providing a Roadmap for the Adaption of Agricultural Sector to Water Scarcity Conditions (Case Study: Selected Crops of Tajan Basin, Iran)
Published 2024-09-01“…Materials and MethodsThe Linear Programming (LP) Model quantifies an optimal way of integrating constraints to satisfy the objective function to optimize crop production and profits for irrigation farmers. …”
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The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese <i>Cyperus esculentus</i> L.
Published 2025-01-01“…In addition, to further enhance the prediction performance of the models, various preprocessing and variable selection algorithms were utilized to optimize the prediction models. …”
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SELECTING THE OPTIMUM SCHEME OF THE SEPARATION OF HYDROCARBON GASES BY DISTILLATION
Published 2018-06-01“…The heat costs in distillation columns were determined for the purpose of separating a four-component gas mixture in gas fractionators with various component selection sequences. A method for selecting the optimal scheme was developed. …”
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Assessment of the bioaccessibility of zinc in the selected biofortified food grains
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Selective Microwave Pretreatment of Biomass Mixtures for Sustainable Energy Production
Published 2025-07-01“…Methods for the improvement of regional lignocellulosic resources (wood and agriculture waste) were studied and analyzed using blends with optimized compositions and a selective pretreatment of the blends using microwaves to enhance their thermochemical conversion and energy production efficiency. …”
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Selective light transmission in agrivoltaics: Modeling light spectra and photosynthetic rate
Published 2025-09-01“…While most existing systems use opaque crystalline silicon panels, their shading can reduce crop yields, spurring interest in wavelength-selective solar photovoltaics (WSPV). WSPV technologies optimize light transmission for plant growth while converting less-used wavelengths into electricity, enabling more efficient sunlight sharing. …”
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