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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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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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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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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Association of the body roundness index with chronic diarrhea and chronic constipation: findings based on the National Health and Nutrition Examination Survey 2005–2010 data by Yinda Wang, Fei Chen, Binzhong Zhang, Zhengwei Song

“…Results After comprehensive adjustment in the final statistical model (Model 3), the BRI demonstrated the statistically significant associations with diarrhea and persistent constipation. …”
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Challenges and opportunities for assessing trends of amphibians with heterogeneous data – a call for better metadata reporting by Klaus Henle, Reinhard A. Klenke, M. Benjamin Barth, Annegret Grimm-Seyfarth, Diana E. Bowler

“…We assessed the effects of data processing decisions to infer absences, the use of survey method information and the statistical model (generalised linear mixed-effect occurrence model [GLMM] versus occupancy-detection model) and compared the trends with expert opinions (Red Lists). …”
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Investigating the Effectiveness of Coal-Fired Power Plant Operations: Management, Technical and Air Pollution Aspects by Zamzam T. A. Ramly, Mohd Y. Ishak, Ahmad M. Abdullah, Marzuki Ismail, Samsuri Abdullah, Amalina Abu Mansor

“…This study seeks to find factors affecting coal-fired power generation efficiency and create a statistical model. The questionnaire covered five areas: best management practices, technology efficiency, cost efficiency, fuel efficiency, air pollution control, and the best available technique. …”
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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHAN... by Jiayi Chen

“…Overfitting using kernel function, long calculation period, the definition of prior distribution and lack of rank of heavy metal will affect the performance of the statistical model. Optimal model on this topic still remains controversy. …”
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A mechanistic-statistical approach to infer dispersal and demography from invasion dynamics, applied to a plant pathogen by Saubin, Méline, Coville, Jérome, Xhaard, Constance, Frey, Pascal, Soubeyrand, Samuel, Halkett, Fabien, Fabre, Frédéric

“…Gaussian, Exponential, and Exponential-power) differing in their frequency of LDD events. The statistical model relies on dedicated observation laws that describe two types of samples, clumped or not. …”
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Effect of supplementing phytase on piglet performance, nutrient digestibility and bone mineralisation by C. De Cuyper, L. Nollet, M. Aluwé, J. De Boever, L. Douidah, E. Vanderbeke, N. Outchkourov, S. Petkov, S. Millet

“…Incremental increases of phytase improved final body weight (BW) (P<0.001), average daily gain (ADG) (P<0.001) and feed conversion ratio (FCR) (P<0.01). The statistical model predicted a linear increase for daily feed intake (DFI), ADG and BW with increased phytase increments. …”
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Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning by Ryan Eusebi, Hui Su, Longtao Wu, Pingping Rong, Karthik Balaguru, Ruby Leung, Yong-Sang Choi, Pak Wai Chan, Jianping Gan, Mark DeMaria, Galina Chirokova

“…To investigate the impact and efficacy of using salinity information in state-of-the-art forecasting, we use a statistical model consisting of a variety of machine learning (ML) methods. …”
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Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…For ten years (until 2020), the participants in the study were monitored to determine the incidence of T2D. LR is a statistical model applied in dichotomous response variable modeling. …”
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 Increasing the resolution of malaria early warning systems for use by local health actors by Michelle V. Evans, Felana A. Ihantamalala, Mauricianot Randriamihaja, Vincent Herbreteau, Christophe Révillion, Thibault Catry, Eric Delaitre, Matthew H. Bonds, Benjamin Roche, Ezra Mitsinjoniala, Fiainamirindra A. Ralaivavikoa, Bénédicte Razafinjato, Oméga Raobela, Andres Garchitorena

“…Abstract Background The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. …”
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