Statistical indicators system characterizing state and course of modernization process as a factor of housing and public utility services system in regional development by R. Kh. Mutolapov

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Investigation of Machinability Characteristics of EDMed Inconel 825 Alloy under Multidimensional Parametric Modeling by Using Holistic Grey-PCA Statistical Models by Nitin Kumar Sahu, Mukesh Kumar Singh, Bupe Getrude Mutono-Mwanza, Atul Kumar Sahu

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Screening of Anti-Inflammatory Components of Qin Jin Hua Tan Tang by a Multivariate Statistical Analysis Approach for Spectrum-Effect Relationships by Feipeng Duan, Yisheng Li, Meizhen Zhao, Tianyong Hu, Xinquan Pan, Yue Feng, Fang Ma, Shuqi Qiu, Yiqing Zheng

“…Our study aimed to screen the active anti-inflammatory components of QJHTT using a multivariate statistical analysis approach for spectrum-effect relationships. …”
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Statistical classification methods for estimating sex based on five skull traits: A nonmetric assessment using 3D CT models by Yun taek Shim, Deog-Im Kim, Nahyun Aum, Seung gyu Choi, Young Seok Lee, Hyung Nam Koo, Yi-Suk Kim

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Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model by Zhenjiang Wu, Fengmei Yao, Adeel Ahmad, Fan Deng, Jun Fang

“…Compared to traditional correlation analysis and the geographical detector method, PLSPM, as a theoretically driven statistical method, can simultaneously process path relationships among multiple latent variables, effectively revealing the intensity and pathways of driving factors’ influences, while providing more credible and interpretable explanations for kNDVI variation mechanisms. …”
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Supervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study by Kanika Godani, Vishma Prabhu, Priyanka Gandhi, Ayushi Choudhary, Shubham Darade, Rupal Kathare, Prathiba Hande, Ramesh Venkatesh

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Mathematical and statistical approaches in epidemiological investigation of hospital infection: A case study of the 2015 Middle East Respiratory Syndrome outbreak in Korea. by Youngsuk Ko, Eunok Jung

“…Mathematical and statistical methods are invaluable in epidemiological investigations, enhancing our understanding of disease transmission dynamics and informing effective control measures. …”
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Multivariate Statistical Analysis Reveals the Heterogeneity of Lacustrine Tight Oil Accumulation in the Middle Permian Jimusar Sag, Junggar Basin, NW China by Yuce Wang, Jian Cao, Keyu Tao, Xiuwei Gao, Erting Li, Chunhua Shi

“…Here, we attempted multivariate statistical analysis to reveal the heterogeneity based on a case study in the lacustrine tight oil accumulation in the middle Permian Lucaogou Formation of the Jimusar sag, Junggar Basin, NW China. …”
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Depressive symptomatology in Brazil: perspectives of statistical and psychometrics analyses of the PHQ-9 at four time-points (2020–2023) in the COVID-19 pandemic by Andre Faro, Daiane Nunes, Derek Falk

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Peer Review of “Converting Organic Municipal Solid Waste Into Volatile Fatty Acids and Biogas: Experimental Pilot and Batch Studies With Statistical Analysis”

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Statistical Evaluations of the Reproducibility and Reliability of 3-Tesla High Resolution Magnetization Transfer Brain Images: A Pilot Study on Healthy Subjects by Kelly H. Zou, Hongyan Du, Shawn Sidharthan, Lisa M. DeTora, Yunmei Chen, Ann B. Ragin, Robert R. Edelman, Ying Wu

“…A sensitivity analysis of various model specifications and the corresponding ICCs was conducted. Our statistical methods may be generalized to many similar evaluative studies of the reliability and reproducibility of various imaging modalities.…”
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Statistical analysis on the validity of the cold plasma approximation for chorus waves based on Van Allen Probe observations and their effects on radiation belt electrons by AoJun Ren, Jiang Yu, Jing Wang, ZuZheng Chen, XiaoMan Liu

“…We here present a systematic statistical analysis on the validity of the cold plasma dispersion relation of chorus waves based on observations from the Van Allen Probes over the period from 2012 to 2018. …”
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Water Absorption Behavior of Teff (Eragrostis tef) Straw Fiber-Reinforced Epoxy Composite: RSM-Based Statistical Modeling and Kinetic Analysis by S. Venkatesa Prabhu, Vincent Herald Wilson, K. T. Anand, S. Jose, S. Sivamani, Chinnasamy Gomadurai, Melkamu Kifetew

“…In addition, the response surface-based statistical modeling which correlates water absorption, fiber loading, and time has been analyzed.…”
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Hydrogeochemical characterization of groundwater using water quality index and multivariate statistical analysis in Binji town and environs, Sokoto basin, Northwestern Nigeria by Ibrahim Mohammed Abdullahi, Lawali Abubakar, Garba Saidu, Hassan Yusuf

“…The main aim of the study was to characterize the groundwater in the study area through the application of indexing and statistical methods. Measured PH revealed 12 samples to be acidic and 15 samples to be alkaline with majority of the samples from dug wells having PH that indicates alkalinity. …”
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Evaluation of selected heavy metal and selenium pollution in water and sediments of Lake Eğirdir (Isparta/Türkiye) using statistical analysis and pollution indices by Özçelik Şule, Tekin-Özan Selda

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Statistical approach to synthesise biogenic silica nanoparticles from rice husk and conjugated with Justicia adhatoda extract as green, slow‐release biocide by Peerzada Gh Jeelani, C Ramalingam

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Statistical Analysis on Interlaminar Shear Strength of Nanosilica Addition with Woven Dharbai/Epoxy Hybrid Nanocomposites under Cryogenic Environment by Taguchi Technique by Muruganantham Ponnusamy, L. Natrayan, Pravin P. Patil, G. Velmurugan, Yirga Terefe Keno

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Comparison of Three Statistical Downscaling Methods and Ensemble Downscaling Method Based on Bayesian Model Averaging in Upper Hanjiang River Basin, China by Jiaming Liu, Di Yuan, Liping Zhang, Xia Zou, Xingyuan Song

“…To improve the simulation accuracy of downscaling methods, the Bayesian Model Averaging (BMA) method combined with three statistical downscaling methods, which are support vector machine (SVM), BCC/RCG-Weather Generators (BCC/RCG-WG), and Statistics Downscaling Model (SDSM), is proposed in this study, based on the statistical relationship between the larger scale climate predictors and observed precipitation in upper Hanjiang River Basin (HRB). …”
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Monte Carlo Simulation and Exact Statistical Mechanical Lattice Models as a Development Tool for Zeolite Multi-Component Adsorption Isotherm Derivation by G. Manos, L.J. Dunne, S. Jalili, A. Furgani, T. Neville

“…In this article, we discuss the methodological development of rapidly obtaining multi-component adsorption isotherms using the interplay between the essentially exact (in the statistical mechanical sense) lattice model and configurational bias Monte Carlo simulations. …”
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Proportional Assist Ventilation for Minimizing the Duration of Mechanical Ventilation (the PROMIZING study): update to the statistical analysis plan for a randomized controlled trial by Karen J. Bosma, Myriam Lafreniere-Roula, Arlene Jiang, Anna Heath, Yongdong Ouyang, Kaitlyn Wade, Pingzhao Hu, Karen E. A. Burns, Claudio M. Martin, Yoanna Skrobik, Sorcha Mulligan, Kevin E. Thorpe, Laurent Brochard, members of the Canadian Critical Care Trials Group and the REVA Network

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