Design and statistical optimization of an effervescent floating drug delivery system of theophylline using response surface methodology by Srikanth Meka Venkata, Ee Li Chew, Sheshala Ravi

“…The optimum quantities of PEO and sodium bicarbonate, which had the highest desirability close to 1.0, were chosen as the statistically optimized formulation. No interaction was found between theophylline and PEO by Fourier Transformation Infrared spectroscopy (FTIR) and Differential Scanning Calorimetry (DSC) studies.…”
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Statistical Features of Polar Cap North and South Indices in Response to Interplanetary and Terrestrial Conditions: A Revisit by Jong‐Sun Park, Quan Qi Shi, Oleg A. Troshichev, Khan‐Hyuk Kim, Jih‐Hong Shue, Timo Pitkänen, Hui Zhang

“…Abstract In this study, we investigate statistical features of polar cap north (PCN) and south (PCS) indices in response to various interplanetary conditions (interplanetary magnetic field [IMF] orientation in three‐dimensions) and terrestrial conditions (seasonal and magnetic local time [MLT] locations of the index stations). …”
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Empirical Study on Emotional Perception and Restorative Effects of Suzhou Garden Landscapes: Text Mining and Statistical Analysis by Zhenyu Zhang, Xiaomeng Wang, Mu Jiang

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Research on Bridge Structure Reliability Evaluation due to Vessels Collison Based on a Statistical Moment Method by Tao Fu, Yang Liu, Zhixin Zhu

“…The statistical moment of the limited performance function is calculated through a quite small amount of confirmatory finite element analysis, and the structural reliability index and failure probability are obtained. …”
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The Procedure for Evaluating the Adsorption Energy Distribution from an Analysis of Thermodesorption Spectra Based on the Statistical Rate Theory by Tomasz Panczyk, Wladyslaw Rudzinski, Tadeusz Borowiecki, Anna Dominko

“…This method is based on an application of the Statistical Rate Theory developed by Ward et al . (1982). …”
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Rural Masonry Isolating Structure and LRB Experiment: Seismic Resistance Properties and Statistical Data Curve Analyses by Jiayao Zheng

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A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology by Sheetal Bisht, Kishan Singh Rawat

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Statistical Graphics in Czech Textbooks: A Comparative Content Analysis of Two Primary-Level Educational Areas by Tomáš Marek, Martina Maněnová

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Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection by Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, Salil bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

Subjects: “…Statistical techniques…”
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Estimation of zooplankton density with artificial neural networks (a new statistical approach) method, Elazığ-Türkiye by Bulut Hilal

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Bootstrap Statistical Model of Tooth Surface Deviation of Heat Treatment Deformation of Batch Spiral Bevel Gears by Weihao Sun, Jubo Li, Tianxing Li, Chuang Jiang, Songlin Wang, Jianxin Su

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New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector by Mohammed M. A. Almazah, Kalim Ullah, Eslam Hussam, Md. Moyazzem Hossain, Ramy Aldallal, Fathy H. Riad

“…Statistical distributions have great applicability for modeling data in almost every applied sector. …”
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Development, Validation and Statistical Correlation of RP–LC Methods for Determination of Atazanavir Sulfate in Capsule Dosage Form by A. Behera, D. G. Sankar, S. K. Moitra, S. C. Si

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Comparison of Statistical Methods to Graphical Methods in Rainfall Trend Analysis: Case Studies from Tropical Catchments by Upaka Rathnayake

“…Therefore, this paper presents a comparison analysis of statistical and graphical trend analysis techniques for two tropical catchments in Sri Lanka. …”
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Determining the Areas Most Affected by Flood and Statistical-Synoptic Analysis of Flood Events In East Azerbaijan Province by Mehdi Eslahi, Farnaz Pourasghar, Younes Akbarzadeh, Mohammad Omidfar, Naser Mansouri Derakhshan, Abbas Shahmary

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Preharvest Factors Affecting Quality on “Abate Fetel” Pears: Study of Superficial Scald with Multivariate Statistical Approach by Alessandro Bonora, Enrico Muzzi, Cristiano Franceschini, Alexandra Boini, Gianmarco Bortolotti, Kushtrim Bresilla, Giulio Demetrio Perulli, Melissa Venturi, Luigi Manfrini, Luca Corelli Grappadelli

“…In this study, we aimed to improve our understanding of the effect of different preharvest factors on SS development using a multivariate statistical approach. Pears (Pyrus communis L.) cv “Abate Fetel” were picked during two consecutive seasons (2018-2019 and 2019-2020) from twenty-three commercial orchards from three growing areas (Modena, Ferrara, and Ravenna provinces) in the Emilia-Romagna region of Italy. …”
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The Impact of Social Interaction, Academic Achievement, and Cognitive Flexibility Levels on Clinical Reasoning: Statistical Discourse Analysis by Cetin Toraman, Canan Akman, Aysen Melek Aytug-Kosan, Gunes Korkmaz

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Statistical Parametric Mapping Differences in Muscle Recruitment Patterns Between Comfort- and Performance-Oriented Saddle Positions by Sławomir Winiarski, Adam Kubiak, Adam Paluszak

“…The aim was to compare the EMG activity of muscles involved in propulsion and lumbar spine stabilisation across different positions. The Statistical Parametric Mapping (SPM) method was also used to analyse muscle activity throughout the pedalling cycle. …”
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Sustained release biodegradable solid lipid microparticles: Formulation, evaluation and statistical optimization by response surface methodology by Hanif Muhammad, Khan Hafeez Ullah, Afzal Samina, Mahmood Asif, Maheen Safirah, Afzal Khurram, Iqbal Nabila, Andleeb Mehwish, Abbas Nazar

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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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