Microencapsulation of Bifidobacterium pseudocatenulatum G4 using natural matrices by Abdul Khalil, Khalilah

“…Skim milk concentration ranging from 6 to 10% (w/v) greatly enhanced cell growth with more efficient carbon and free amino nitrogen usage as well as higher production of -galactosidase. Through statistical modeling based on the Face Centered Central Composite Design (FCCD), the optimum concentration of combined skim milk and yeast extract was determined as 7.02 and 1.73% (w/v), respectively. …”
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Determination Of The Risk Factors And Injury Probability For Small Car Crashes In Klang Valley, Malaysia by Sisilia, Vivi

“…To achieve the aforementioned aim, the objective of this study was established to determine what the risk factors for small car crashes in Malaysia are and to develop a statistical model based on Binary Logistic Regression for predicting the probability of injury and non-injury accidents involving small cars.Fourteen hypotheses have been summarised from literature reviews and carried out into univariate and multivariate analyses to identify the risk factors and injury probability prediction model for small car crashes. …”
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Development of landslide risk maps using high resolution airborne LiDAR data by Mohd Yusof, Norbazlan

“…The objective of this research is firstly aims to identify optimized landslide conditioning parameters that influence the characteristic of landslides and optimise a spatial prediction of landslide hazard areas along the Jelapang and Gua Tempurung area of the North-South Expressway in Malaysia by using two statistical models, namely, logistic regression (LR) and evidential belief function (EBF). …”
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Development of halal plant-based hydrocolloids encapsulation for targeted delivery of bovine serum albumin by Mohamed, Hajaratul Najwa

“…The study was accomplished through the following approaches: 1) optimization of encapsulating matrices to produce controlledrelease formulation and improve encapsulation yield; 2) determination of protein release activities based on swelling rate (%) and in-vitro release during exposure to simulated gastric (SGF) and intestinal fluid (SIF); 3) determination of protein-polysaccharide interaction within the beads and bead morphology by using Fourier-Transform Infrared Spectroscopy (FT-IR) and Scanning Electron Microscopy, respectively. Statistical modeling based on the Face Centered Central Composite Design (FCCD) was employed for the optimization of encapsulating matrices. …”
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Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study by Annie J Browne, DPhil, Michael G Chipeta, PhD, Georgina Haines-Woodhouse, MSc, Emmanuelle P A Kumaran, MPH, Bahar H Kashef Hamadani, MPH, Sabra Zaraa, MPH, Nathaniel J Henry, BSc, Aniruddha Deshpande, MPH, Robert C Reiner, Jr, PhD, Nicholas P J Day, ProfFMedSci, Alan D Lopez, ProfPhD, Susanna Dunachie, ProfPhD, Catrin E Moore, DPhil, Andy Stergachis, ProfPhD, Simon I Hay, ProfDSc, Christiane Dolecek, PhD

“…Many low-income and middle-income countries (LMICs) lack surveillance capacity; we aimed to use multiple data sources and statistical models to estimate global antibiotic consumption. …”
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Ambient air pollution in relation to diabetes and glucose-homoeostasis markers in China: a cross-sectional study with findings from the 33 Communities Chinese Health Study by Bo-Yi Yang, PhD, Zhengmin (Min) Qian, ProfPhD, Shanshan Li, PhD, Gongbo Chen, MPH, Michael S Bloom, PhD, Michael Elliott, PhD, Kevin W Syberg, PhD, Joachim Heinrich, ProfPhD, Iana Markevych, PhD, Si-Quan Wang, MD, Da Chen, ProfPhD, Huimin Ma, PhD, Duo-Hong Chen, PhD, Yimin Liu, ProfPhD, Mika Komppula, PhD, Ari Leskinen, PhD, Kang-Kang Liu, PhD, Xiao-Wen Zeng, PhD, Li-Wen Hu, PhD, Yuming Guo, PhD, Guang-Hui Dong, ProfPhD

“…We calculated exposure to air pollutants using data from monitoring stations (PM with an aerodynamic diameter of 10 μm or less [PM10], sulphur dioxide, nitrogen dioxide, and ozone) and a spatial statistical model (PM with an aerodynamic diameter of 1 μm or less [PM1] and 2·5 μm or less [PM2·5]). …”
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Neutralising antibody titres as predictors of protection against SARS-CoV-2 variants and the impact of boosting: a meta-analysis by Deborah Cromer, PhD, Megan Steain, PhD, Arnold Reynaldi, PhD, Timothy E Schlub, PhD, Adam K Wheatley, PhD, Jennifer A Juno, PhD, Stephen J Kent, MD, James A Triccas, PhD, David S Khoury, PhD, Miles P Davenport, DPhil

“…We integrated the results of this analysis into our existing statistical model relating in-vitro neutralisation to protection (parameterised on data from ancestral virus infection) to estimate vaccine efficacy against SARS-CoV-2 variants. …”
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Mid- and long-term changes in satiety-related hormones, lipid and glucose metabolism, and inflammation after a Mediterranean diet intervention with the goal of losing weight: A ran... by J Hernando-Redondo, J Hernando-Redondo, J Hernando-Redondo, A Toloba, D Benaiges, D Benaiges, D Benaiges, D Benaiges, J Salas-Salvadó, J Salas-Salvadó, J Salas-Salvadó, MA Martínez-Gonzalez, MA Martínez-Gonzalez, MA Martínez-Gonzalez, D Corella, D Corella, R Estruch, R Estruch, R Estruch, FJ Tinahones, FJ Tinahones, E Ros, E Ros, E Ros, A Goday, A Goday, A Goday, A Goday, O Castañer, O Castañer, M Fitó, M Fitó

“…Anthropometric and classical cardiovascular risk factors were also determined. A multivariate statistical model was employed to compare the two groups. …”
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Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis by Qiongyi Hu, Wen Gong, Wen Gong, Jieyu Gu, Guannan Geng, Ting Li, Rui Tian, Zhitao Yang, Haocheng Zhang, Lingyun Shao, Tingting Liu, Liyan Wan, Jinchao Jia, Chengde Yang, Yi Shi, Hui Shi

“…The correlations between expression levels of miRNAs and clinical manifestations were analyzed using advanced statistical models. We found that plasma samples from AOSD patients showed a distinct miRNA expression profile. …”
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Prevention of acute respiratory viral infections and influenza in children during the peaks of seasonal morbidity: the results of the international double-blind placebo-controlled... by N. A. Geppe, A. V. Gorelov, O. V. Shamsheva, I. G. Sitnikov, E. P. Sitnikova, V. Yu. Steshin, I. M. Melnikova, N. L. Chernaya, O. I. Votyakova, I. N. Ehgamova, L. V. Lukashova, L. V. Yakovleva, T. V. Kovalenko, M. D. Velikoretskaya, M. A. Kudryashova

“…The average duration of the period from the first dose of the drug to the development of ARVI/influenza symptoms obtained as a result of the analysis of the statistical model was 428.8 [434.1] days for Anaferon for children group, that is 1.5 times higher than in Placebo group (275.8 [274.9] days; p=0.001 [p=0.0009]). …”
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Vulnerability of European ecosystems to two compound dry and hot summers in 2018 and 2019 by A. Bastos, R. Orth, M. Reichstein, P. Ciais, N. Viovy, S. Zaehle, P. Anthoni, A. Arneth, P. Gentine, P. Gentine, E. Joetzjer, S. Lienert, T. Loughran, P. C. McGuire, S. O, J. Pongratz, S. Sitch

“…To quantify changes in vegetation vulnerability to each compound event, we first train a set of statistical models for the period 2001–2017, which are then used to predict the impacts of DH18 and DH19 on enhanced vegetation index (EVI) anomalies from MODIS. …”
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Comparison of anatomical-based vs. nTMS-based risk stratification model for predicting postoperative motor outcome and extent of resection in brain tumor surgery by Meltem Ivren, Ulrike Grittner, Rutvik Khakhar, Francesco Belotti, Heike Schneider, Paul Pöser, Federico D'Agata, Giannantonio Spena, Peter Vajkoczy, Thomas Picht, Tizian Rosenstock

“…Background: Two statistical models have been established to evaluate characteristics associated with postoperative motor outcome in patients with glioma associated to the motor cortex (M1) or the corticospinal tract (CST). …”
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Measurement report: Characterisation and sources of the secondary organic carbon in a Chinese megacity over 5 years from 2016 to 2020 by M. Wang, Y. Duan, W. Xu, Q. Wang, Z. Zhang, Q. Yuan, X. Li, S. Han, H. Tong, J. Huo, J. Chen, S. Gao, Z. Wu, L. Cui, Y. Huang, G. Xiu, J. Cao, J. Cao, Q. Fu, S. Lee

“…Based on the 5-year measurements, the interannual, monthly, seasonal, and diurnal variations in OC and EC, as well as OC subtypes, i.e. secondary OC (SOC) and primary OC (POC), apportioned by the novel statistical model of the minimum <span class="inline-formula"><i>R</i>²</span> method, and the formation pathways of SOC, are presented. …”
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Estimating the impact of implementation and timing of the COVID-19 vaccination programme in Brazil: a counterfactual analysisResearch in context by Leonardo Souto Ferreira, Flavia Maria Darcie Marquitti, Rafael Lopes Paixão da Silva, Marcelo Eduardo Borges, Marcelo Ferreira da Costa Gomes, Oswaldo Gonçalves Cruz, Roberto André Kraenkel, Renato Mendes Coutinho, Paulo Inácio Prado, Leonardo Soares Bastos

“…In this work, we developed a Bayesian statistical model to estimate the number of deaths and hospitalisations averted by vaccination of older adults (above 60 years old) in Brazil. …”
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Stability of additive treatment effects in multiple treatment comparison meta-analysis: a simulation study by Mills E, Thorlund K

“…When additivity is strongly violated, the additive effects model is statistically inferior.Keywords: multiple treatment, meta-analysis, additive effects, statistical modeling…”
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Diffusion in the corpus callosum predicts persistence of clinical symptoms after mild traumatic brain injury, a multi-scanner study by Alexander Asturias, Alexander Asturias, Thomas Knoblauch, Thomas Knoblauch, Thomas Knoblauch, Alan Rodriguez, Alan Rodriguez, Cheryl Vanier, Cheryl Vanier, Caroline Le Tohic, Brandon Barrett, Matthew Eisenberg, Rachelle Gibbert, Lennon Zimmerman, Shaunaq Parikh, Anh Nguyen, Sherwin Azad, Leo Germin, Enrico Fazzini, Travis Snyder, Travis Snyder, Travis Snyder, Travis Snyder

“…DTI data was obtained from 8 different 3T MRI scanners and harmonized via ComBat harmonization. The statistical models used to explore the association between regional Fractional Anisotropy (FA) values and symptom presentation and time to symptom resolution were logistic regression and interval-censored semi-parametric Cox proportional hazard models, respectively. …”
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Estimation of HIV prevalence and burden in Nigeria: a Bayesian predictive modelling studyResearch in context by Amobi Andrew Onovo, Adedayo Adeyemi, David Onime, Michael Kalnoky, Baboyma Kagniniwa, Melaku Dessie, Lana Lee, Deidra Parrish, Bashorun Adebobola, Gregory Ashefor, Otse Ogorry, Rachel Goldstein, Helina Meri

“…This study describes how Bayesian statistical modeling may be used to estimate HIV prevalence at the state level in a reliable and timely manner. …”
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Upper limb sensorimotor recovery in Asian stroke survivors: a study protocol for the development and implementation of a Technology-Assisted dIgitaL biOmaRker (TAILOR) platform by Hsiao-Ju Cheng, Lay Fong Chin, Lay Fong Chin, Christoph M. Kanzler, Christoph M. Kanzler, Rea Lehner, Christopher W. K. Kuah, Christopher W. K. Kuah, Christopher W. K. Kuah, Simone Kager, Simone Kager, Eva Josse, Eva Josse, Tengiz Samkharadze, Ananda Sidarta, Pablo Cruz Gonzalez, Eloise Lie, Monika Zbytniewska-Mégret, Seng Kwee Wee, Seng Kwee Wee, Seng Kwee Wee, Seng Kwee Wee, Phyllis Liang, Phyllis Liang, Roger Gassert, Roger Gassert, Karen Chua, Karen Chua, Karen Chua, Karen Chua, Olivier Lambercy, Olivier Lambercy, Nicole Wenderoth, Nicole Wenderoth

“…The relationships between digital biomarkers and various domains will be explored to inform key aspects of upper limb recovery and its dynamics using correlation matrices. Multiple statistical models will be constructed to characterize the time course of upper limb recovery post-stroke. …”
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Population structure and antimicrobial resistance patterns of Salmonella Typhi and Paratyphi A amid a phased municipal vaccination campaign in Navi Mumbai, India by Kesia Esther da Silva, Kashmira Date, Nilma Hirani, Christopher LeBoa, Niniya Jayaprasad, Priyanka Borhade, Joshua Warren, Rahul Shimpi, Seth A. Hoffman, Matthew Mikoleit, Pankaj Bhatnagar, Yanjia Cao, Pradeep Haldar, Pauline Harvey, Chenhua Zhang, Savita Daruwalla, Dhanya Dharmapalan, Jeetendra Gavhane, Shrikrishna Joshi, Rajesh Rai, Varsha Rathod, Keertana Shetty, Divyalatha S. Warrier, Shalini Yadav, Debjit Chakraborty, Sunil Bahl, Arun Katkar, Abhishek Kunwar, Vijay Yewale, Shanta Dutta, Stephen P. Luby, Jason R. Andrews

“…Using Bayesian hierarchical statistical models, we found that spatial distance between cases was strongly associated with genetic clustering at a fine scale (<5 km). …”
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Paradoxical mortality of high estimated glomerular filtration rate reversed by 24‐h urine creatinine excretion rate adjustment: sarcopenia matters by Pei‐Yu Kao, Hung‐Chieh Yeh, Ying‐Fang Hsia, Ya‐Luan Hsiao, Jie‐Sian Wang, David Ray Chang, Shih‐Ni Chang, Hsiu‐Yin Chiang, Chin‐Chi Kuo

“…After adjustment for 24‐h U‐CER in the statistical model, the paradoxical increase in mortality risk for an eGFR of >90 mL/min/1.73 m2 returned to null. …”
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