Bioharvesting and improvement of nano-silica yield from bagasse by irradiated Curvularia spicifera by Amira G. Zaki, Samah A. Yousef, Yasmeen A. Hasanien

“…The attained SNps’ size ranged from 30.6–130.4 nm depending on the biotransformation conditions employed in the statistical model, which is available for numerous applications. …”
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OWNERSHIP CONCENTRATION’S MODERATING EFFECT ON DIVIDEND PAYOUT AND TOBIN’S Q OF LISTED CONSUMER GOODS FIRMS IN NIGERIA by Ovbe Simon Akpadaka

“…Utilizing a ex-post facto research design, and fixed effects regression for the statistical model to control for unobserved heterogeneity withing firms over time, ensuring a robust examination of the relationships under study. …”
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Reinspecting the Climate-Crop Yields Relationship at a Finer Scale and the Climate Damage Evaluation: Evidence from China by Yongbin Zhu, Yajuan Shi, Changxin Liu, Bing Lyu, Zhenbo Wang

“…This paper reinvestigated the climate-crop yield relationship with the statistical model at crops’ growing stage scale. Compared to previous studies, our model introduced monthly climate variables in the production function of crops, which enables separating the yield changes induced by climate change and those caused by inputs variation and technique progress, as well as examining different climate effects during each growing stage of crops. …”
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Optimization of the green synthesis of gold nanorods using aqueous extract of peeled sour guava as a source of antioxidants. by M Camila Patiño-González, Claudia E Echeverri-Cuartas, Sandra Torijano-Gutiérrez, Sandra Milena Naranjo-Rios, Natalia A Agudelo

“…The AuNRs were approximately 30 nm in size with an LSPR between 700 and 800 nm. Statistical model evaluation revealed a dependence between gold and time and gold-silver factors. …”
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Influence of fused deposition modelling printing parameters on tablet disintegration times: a design of experiments study by Kreft Klemen, Stanić Tijana, Perhavec Petra, Dreu Rok, Lavrič Zoran

“…Lastly, layer height did not influence the disintegration time. A statistical model with accurate fit (R2 = 0.928) and predictability (Q2 = 0.847) was created. …”
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Optimization of Aeration and Agitation Rate for Lipid and Gamma Linolenic Acid Production by Cunninghamella bainieri 2A1 in Submerged Fermentation Using Response Surface Methodolog... by Normah Saad, Peyman Abdeshahian, Mohd Sahaid Kalil, Wan Mohtar Wan Yusoff, Aidil Abdul Hamid

“…The optimization was carried out using response surface methodology based on a central composite design. A statistical model, second-order polynomial model, was adjusted to the experimental data to evaluate the effect of key operating variables, including aeration rate and agitation speed on lipid production. …”
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Innovative study on chalcopyrite flotation efficiency with xanthate and ester collectors blend using response surface methodology (B.B.D): towards sustainability by Imkong Rathi, Shravan Kumar

“…Validation experiments confirmed the results, aligning well with statistical model predictions. Calculated (SPI) value of 0.1241 capita kg-1 falls within the desirable range of 0 to 1, indicating the reliability-accuracy of the outcomes.…”
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Comparison of JPL and ESP Solar Proton Fluence Models Using the Background‐Subtracted RDSv2.0 Data Set by B. X. Zhu, K. Whitman, I. Jun, J. M. Ratliff

“…Several statistical models have been developed, including the JPL model and the Emission of Solar Protons (ESP) model. …”
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Assessing the Impact of Climate Change on Intensity-Duration-Frequency (IDF) Curves for the Qassim Region, Saudi Arabia by Mohammed ALRakathi, Abdullah Alodah

“…The IDF curves were generated for both historical and three projected future periods using Gumbel distribution, which proved to be the best-fitting statistical model, using six return periods: 2, 5, 10, 25, 50, and 100 years. …”
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A Study on the Holding Capacity Safety Factors for Torpedo Anchors by Luís V. S. Sagrilo, José Renato M. de Sousa, Edison C. P. Lima, Elisabeth C. Porto, Jane V. V. Fernandes

“…This paper presents a study on the calibration of reliability-based safety factors for the design of torpedo anchors considering the statistical model uncertainty evaluated using results from experimental tests and their correspondent finite-element-based numerical predictions. …”
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Bioinformatics Analysis of Transcriptomic Data Reveals Refined Functional Networks for the Self-Renewal of Mouse Spermatogonial Stem Cells by Min Wang, Wene Zhao, Fuqiang Wang, Xiufeng Ling, Daozhen Chen, Tao Zhou, Ying Wang

“…Using a dynamic statistical model, we identified a list of 1119 candidate genes for SSC self-renewal with the best enrichment of canonical markers. …”
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Kynurenines and aerobic exercise capacity in chronic kidney disease: A cross-sectional and longitudinal study. by Helena Wallin, Eva Jansson, Sophie Erhardt, Carin Wallquist, Britta Hylander, Stefan H Jacobson, Kenneth Caidahl, Anette Rickenlund, Maria J Eriksson

“…Including GFR in the statistical model, no kynurenines were independently associated with ExCap at baseline. …”
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Chronological Classification of Ancient Mortars Employing Spectroscopy and Spectrometry Techniques: Sagunto (Valencia, Spain) Case by M. Ramacciotti, S. Rubio, G. Gallello, M. Lezzerini, S. Columbu, E. Hernandez, A. Morales-Rubio, A. Pastor, M. de la Guardia

“…REE permitted to ascribe most of the masonries to the Roman Imperial period. Moreover, a statistical model was built by employing partial least squares discriminant analysis (PLS-DA) in order to classify the mortars from Roman Imperial period and from Islamic period due to the problematic overlapping between these two phases. …”
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Why PD-L1 expression varies between studies of lung cancer: results from a Bayesian meta-analysis by Preston Ngo, Wendy A. Cooper, Stephen Wade, Kwun M. Fong, Karen Canfell, Deme Karikios, Marianne Weber

“…Abstract PD-L1 expression is an important biomarker for the management of non-small cell lung cancer (NSCLC) but has been highly heterogeneous across studies. We developed a statistical model to reconcile conflicting estimates of PD-L1 prevalence by accounting for between-study variation in test sensitivity, specimen age, and laboratory count. …”
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Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Based on these results it is recommended to use a simple equation from a statistical model which can be quickly and efficiently integrated within a clinical setting…”
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Global seasonal urban, industrial, and background NO₂ estimated from TROPOMI satellite observations by V. Fioletov, C. A. McLinden, D. Griffin, X. Zhao, H. Eskes

“…The method is based on fitting satellite data by a statistical model with empirical plume dispersion functions driven by a meteorological reanalysis. …”
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Optimization of Acid Protease Production by Aspergillus niger I1 on Shrimp Peptone Using Statistical Experimental Design by Rayda Siala, Fakher Frikha, Samiha Mhamdi, Moncef Nasri, Alya Sellami Kamoun

“…Under the proposed optimized conditions, the experimental protease production (183.13 U mL−1) closely matched the yield predicted by the statistical model (172.57 U mL−1) with R2=0.914. Compared with the initial M1 medium on which protease production was 43.13 U mL−1, a successful and significant improvement by 4.25 folds was achieved in the optimized medium containing (g/L): hulled grain of wheat (HGW) 5.0; KH2PO4 1.0; NaCl 0.3; MgSO4(7H2O) 0.5; CaCl2 (7H2O) 0.4; ZnSO4 0.1; Na2HPO4 1.6; shrimp peptone (SP) 1.0. …”
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Calcium requirements in growing Japanese quail from 21 to 35 days post-hatch by Fahimeh Pourmollaei, Mahmoud Ghazaghi, Mohammad Rokouei, Farzad Bagherzadeh-Kasmani, Mehran Mehri

“…Body weight gain (BW gain; P = 0.04), tibia-Ca (P = 0.01), tibia ash (P = 0.01), and bone breaking strength (BBS; P = 0.01) increased quadratically with increasing dietary Ca levels, while feed conversion ratio (FCR) showed a tendency to decrease (P = 0.07). Based on the statistical model, the optimal Ca requirements for BW gain and FCR were estimated to range from 0.75 to 0.84 % and 0.74 to 0.83 %, respectively. …”
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Causal association among smoking, bitter beverage consumption, and risk of osteoporosis: a two-sample mendelian randomization-based study by Yanqian Wu, Jianqian Chao, Min Bao, Na Zhang, Leixia Wang

“…The inverse-variance weighted (IVW) method was used as the main statistical model. The stability and reliability of the results were verified by the Cochran’s Q test, the Egger-intercept test, and the leave-one-out analysis. …”
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A Comparative Evaluation of the Efficacy of Two Novel Desensitising Dentifrices by Ashley P. Barlow, Jane He, Cindy Tian, Peter Jeffery, Stephen C. Mason, Bao-Jun Tai, Han Jiang, Gareth D. Rees, Min Quan Du

“…A fixed-effects ANCOVA statistical model was applied to the Intent-To-Treat population using a two-sided 5% significance level. …”
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