Biodiesel production from Sesamum indicum L. seed oil: An optimization study by F.A. Dawodu, O.O. Ayodele, T. Bolanle-Ojo

“…Transesterification of Sesamum indicum L. oil was carried with methanol in the presence of sodium methoxide and the parameters affecting the reaction; vegetable oil/methanol molar ratio, catalyst concentration, reaction temperature and time were fully optimized by employing Central Composite Design method (CCD). A quadratic polynomial was developed to predict the response as a function of independent variables and their interactions and only the significant factors affecting the yield were fitted to a second-order response surface reduced 2FI model. …”
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Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach. by Wei-Hsuan Lo-Ciganic, Julie M Donohue, Eric G Hulsey, Susan Barnes, Yuan Li, Courtney C Kuza, Qingnan Yang, Jeanine Buchanich, James L Huang, Christina Mair, Debbie L Wilson, Walid F Gellad

“…Nine of the top 30 most important predictors in the integrated model were human services and criminal justice variables. …”
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The current status of nano-hydrogel preparations for osteochondral repair: Systematic Review by Abebe Feyissa Amhare, Abebe Feyissa Amhare, Lichun Qiao, Huan Deng, Jinyan Lin, Jun Wang, Wei Wang, Jing Han

“…However, heterogeneity in design parameters, lack of standardized outcome measures, and variable reporting quality limited direct comparisons.ConclusionNano-hydrogels show strong potential as biomimetic scaffolds for osteochondral repair, offering customizable mechanical and biological properties. …”
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Navigating high-dimensional process-structure–property relations in nanocrystalline Pt-Au alloys with machine learning by Saaketh Desai, Manish Jain, Sadhvikas J. Addamane, David P. Adams, Remi Dingreville, Frank W. DelRio, Brad L. Boyce

“…Traditional studies often examine a limited number of process-structure–property variables, striving to elucidate mechanisms governing material response. …”
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X-Ray Reflection Signatures of Supermassive Black Hole Binaries by Julie Malewicz, David R. Ballantyne, Tamara Bogdanović, Laura Brenneman, Thomas Dauser

“…These are imprinted in the resulting composite spectra and the double-peaked and time-variable relativistic Fe K α line profiles. …”
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Widespread pH increase and geochemical trends in fifty boreal lakes: Evidence, prediction and plausible attribution to climate and permafrost thaw impacts across northeastern Alber... by J.J. Gibson, A. Jaggi, F.J. Castrillon-Munoz

“…Study focus: Evidence for trends in chemical composition of lakes, including pH increases are provided using Mann-Kendall statistics, geochemical modelling, δ18O, δ2H, and δ13C, which are compared to trend statistics for climate, water balance, and groundwater indicators. …”
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The Impact of Synchronicity on Block Trading: Moderating Role of Media Coverage by Mehrab Nasiry, Hossien Fakhari, Esfandiar Malekian

“…The results of the Multivariate regression model based on composite data showed that the number and block trading ratio have a positive effect on stock price synchrony. …”
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Development Research on Integrating CNC Machine Tool with Plasma for Online Surface Heat Treatment by Shao-Hsien Chen, Bo-Ting Wang

“…In the screening experiment, the interaction of factors was discussed using a full factorial experiment. The Central Composite Design was combined with the Lack-of-Fit test for the optimization experiment, and the R2 coefficient was used to determine whether the regression model is appropriate. …”
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Optimizing Xylanase Production: Bridging Statistical Design and Machine Learning for Improved Protein Production by Merve Aslı Ergün, Başak Esin Köktürk-Güzel, Tuğba Keskin-Gündoğdu

“…The extreme gradient boosting (XGBoost) regression model was applied to predict xylanase activity under different experimental conditions, accurately predicting xylanase activity and identifying the significance of each variable. …”
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Item performance of the scale for the assessment and rating of ataxia in rare and ultra‐rare genetic ataxias by Alzahra Hamdan, Andrew C. Hooker, Xiaomei Chen, Andreas Traschütz, Rebecca Schüle, ARCA Study Group, EVIDENCE‐RND consortium, Matthis Synofzik, Mats O. Karlsson

“…SARA is now considered a primary end point in several ataxia treatment trials, but its underlying composite item measurement model has not yet been tested. …”
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Metabolomics approach for geographical origin discrimination of Cecropia peltata by untargeted UHPLC-Q-Orbitrap-HRMS by Yancho Zarev, Anzhelika Dakovska, Yuliana Christopher, Orlando O. Ortiz, Yostin Añino, Iliana Ionkova, Andrés Rivera Mondragón

“…In conclusion, this study highlights the chemical variability within C. peltata based on its geographic location. …”
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Computed tomography based radiomics signature for predicting the expression of vascular endothelial growth factor in pediatric patients with nephroblastoma by Ma Fu, Han Qi, Suyue Zhu, Yan Gao, Yanlin Li, Jian Wu, Dongsheng Zhu

“…Clinical elements, such as clinicopathological information and CT imaging characteristics, were used to create a clinical model. With the inclusion of a radiomics signature and clinical characteristics, a composite nomogram was created. …”
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Optimization of the Predicting of the Influenza Vaccine Strains by E. P. Kharchenko

“…WHO recommends the composition of the vaccine strain for each influenza season. …”
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Maternal metabolic profiling across body mass index groups: An exploratory longitudinal study by Hege Nyhus Skytte, Marie Cecilie Paasche Roland, Jacob Juel Christensen, Kirsten Bjørklund Holven, Tove Lekva, Nina Gunnes, Trond Melbye Michelsen

“…GWG did not seem to affect the metabolic profile, regardless of BMI group when BMI was treated as a dichotomous variable, ≥25 kg/m2 (yes/no). Conclusions Overweight or obese women had smaller pregnancy‐related metabolic alterations than normal‐weight/underweight women. …”
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Evaluating the construct validity of the health promotion literacy scale: a confirmatory factor analysis in Taiwan’s university social responsibility context by Yu-Ming Wang, Chia-Hui Hung, Yi-Ching Li, Yung-Chuan Ho, Cheng-Yi Huang

“…The structural equation model displayed a good fit, suggesting that personal growth, responsibility for citizenship, and social interaction were latent variables of the Health Promotion Literacy-based Scale on a USR curriculum. …”
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Specific soil factors drive the differed stochastic assembly of rhizosphere and root endosphere fungal communities in pear trees across different habitats by Yunfeng Liu, Yunfeng Liu, Zhenzhou Wang, Xiang Sun, Xueli He, Yuxing Zhang

“…Procrustes analysis, variance partitioning analysis, and ordination regression analysis were employed to explore the ecological relationships between soil factors and fungal community composition.ResultsThe rhizosphere fungal community exhibited higher richness, greater diversity and lower structural variability compared to the root endosphere. …”
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Genome-wide identification and diversity of FAD2, FAD3 and FAE1 genes in terms of biotechnological importance in Camelina species by Rostyslav Y. Blume, Vitaliy Y. Hotsuliak, Tara J. Nazarenus, Edgar B. Cahoon, Yaroslav B. Blume

“…Finally, fatty acid composition of seed lipids in different Camelina species was characterized, suggesting potential variability in the activity of fatty acid elongation/desaturation pathways may vary among these taxa. …”
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Chief Executive Office Characteristics Effect on Financial Reporting Quality in Vietnam: The Moderating Role of Firm Size by Nguyet Nga Tran Thi, Diem Ngo

“…Methodology: The study uses a data sample of 459 Vietnamese listed companies in the period 2016 to 2023, through Feasible Generalized Least Squares (FGLS) regression with the dependent variable representing the quality of financial statements measured by the E Score model. …”
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Altered precipitation and nighttime warming reshape the vertical distribution of soil microbial communities by Suo Liu, Jingyi Ru, Xue Guo, Qun Gao, Sihang Deng, Jiesi Lei, Jian Song, Changchun Zhai, Shiqiang Wan, Yunfeng Yang

“…ABSTRACT Soil depth determines microbial community composition. Yet, it remains largely unexplored how climate changes affect the vertical distribution of soil microbial communities. …”
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Effects of preweaning calf daily gain and feed intake on first-lactation performance: A meta-analysis by Wen Jiang, Jingjun Wang, Shangru Li, Shuai Liu, Yimin Zhuang, Shengli Li, Wei Wang, Yajing Wang, Hongjian Yang, Wei Shao, Zhijun Cao

“…Further multivariate mixed model analyses demonstrated that, when the effects of the 3 independent variables were considered collectively, only ADG exhibited a significant positive effect on 305-d milk yield and fat production during the first-lactation period. …”
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