Effect of Covid-19 Pandemic on Recreational Awareness and Quality of Life by Mehmet Demirel, Alper Kaya, Davut Budak, Mustafa Sabır Bozoğlu, Yusuf Er

“…Since the data did not have a normal distribution, that is, non-parametric distribution, besides descriptive statistical models, Mann Whitney U, Kruskal Wallis test, and correlation analysis were applied. …”
Get full text

An Analysis of Space Inequalities in Utilization of Urban in Abadan Services Oil by sadegh besharatifar, kohdadd mobinizadeh

“…For data collection using documentary and field methods, using service and socio-economic indicators as well as using quantitative models and statistics models Space is in the year 1397. The purpose of the research is to analyze and evaluate the spatial inequalities in utilization of urban services in Abadan oil. …”
Get full text

Developing Roadway Safety Models for Winter Weather Conditions Using a Feature Selection Algorithm by Bryce Hallmark, Jing Dong

“…When developing statistical models using such large-scale multivariate datasets, one of the challenges is to determine which explanatory variables should be included in the model. …”
Get full text

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety by Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson

“…Furthermore, the advantages and disadvantages of RNNs and traditional statistical modeling methods in processing time series data are discussed. …”
Get full text

The impact of parameter variation in the quantification of forensic genetic evidence by Camila Costa, Carolina Figueiredo, Sandra Costa, Paulo Miguel Ferreira, António Amorim, Lourdes Prieto, Nádia Pinto

“…To reach this goal, three PGS, based on different statistical models, were used to analyze real casework pairs of samples composed of a mixture with either two or three estimated contributors, and a single-source sample associated. …”
Get full text

Detection of Malignancy Associated Changes in Cervical Cell Nuclei Using Feed-Forward Neural Networks by Roger A. Kemp, Calum MacAulay, David Garner, Branko Palcic

“…These changes have been termed Malignancy Associated Changes (MACs). Using statistical models such as neural networks and discriminant functions it is possible to design classifiers that can separate these objects from truly normal cells. …”
Get full text

Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies by Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang

“…It is particularly difficult to detect and interpret these interacting mutation patterns, but by using Bayesian statistical modeling, it provides a groundbreaking opportunity to solve these problems. …”
Get full text

A Gateway Deployment Heuristic for Enhancing the Availability of Sensor Grids by Majid Hussain, Ki-Hyung Kim, Ali Hammad Akbar, Shehzad Khalid, Seung-Jin Bang, Mohsin Javed, Madiha Amjad

“…This research focuses on statistically modeling the energy consumption of single gateway sensor grids in terms of network availability by analyzing different energy consumption phenomena with communication as a grid-wide routing problem. …”
Get full text

Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder by Nicla Mandas, Maximiliano Mollura, Giulia Baldazzi, Parisa Sattar, Maria Mura, Elisa Casaglia, Michela Figorilli, Laura Giorgetti, Pietro Mattioli, Francesco Calizzano, Francesco Fama, Dario Arnaldi, Monica Puligheddu, Danilo Pani, Riccardo Barbieri

“…<italic>Methods:</italic> To this aim, an innovative framework combining a sleep transition model, by Markov chains, with an instantaneous assessment of autonomic state dynamics by statistical modeling of heart rate variability (HRV) dynamics through a point-process approach, was introduced. …”
Get full text

Technology license agreements as public–private partnerships for economic development: evaluations using surveys, input–output modeling, and regression analysis by Eric D. Raile, Eric K. Austin, Michael P. Wallner, Jeffrey Peterson, Brian Lewandowski, Derek Kapps, Bridger Sellegren, Joe Hutton

“…While the majority of license agreements with sales belong to smaller companies (which often attract additional investment), some large companies generate higher revenues. Further statistical modeling with the heavily anonymized data identifies features of license agreement situations that influence economic outcomes. …”
Get full text

Morphological analysis of cold-water coral skeletons for evaluating in silico mechanical models of reef-scale crumbling by Marta Peña Fernández, Josh Williams, Janina V. Büscher, Janina V. Büscher, J. Murray Roberts, Sebastian J. Hennige, Uwe Wolfram, Uwe Wolfram

“…Future in silico mechanical models should statistically model these variations to be used as monitoring tools for predicting risk of cold-water coral reefs crumbling.…”
Get full text

Relationships between Loneliness and Occupational Dysfunction in Community-Dwelling Older Adults: A Cross-Sectional Study by Daiki Nakashima, Keisuke Fujii, Yuta Kubo, Kyosuke Yorozuya

“…Seventy-four older adults (12 men and 62 women; mean age 73.9±8.3 years) completed a questionnaire survey that included the Japanese version of the UCLA Loneliness Scale Version 3 and the Classification and Assessment of Occupational Dysfunction (CAOD). Bayesian statistical modeling was used for a more stable estimation given the small sample. …”
Get full text

Modeling of the COVID-19 Cases in Gulf Cooperation Council Countries Using ARIMA and MA-ARIMA Models by Rahmatalla Yagoub, Hussein Eledum

“…This paper, therefore, subjected the daily reported COVID-19 cases of these three variables to some statistical models including classical ARIMA, kth SMA-ARIMA, kth WMA-ARIMA, and kth EWMA-ARIMA to study the trend and to provide the long-term forecasting of the confirmed, recovery, and death cases of the novel COVID-19 pandemic in the GCC countries. …”
Get full text

Systematic Review into Diagnostics for Post-Kala-Azar Dermal Leishmaniasis (PKDL) by Emily R. Adams, Inge Versteeg, Mariska M. G. Leeflang

“…We recommend well-designed diagnostic accuracy trials that evaluate, side-by-side, all currently available diagnostics, including clinical symptoms, serological, antigen, molecular, and parasitological tests and possible use of statistical modelling to evaluate diagnostics when there is no suitable gold standard.…”
Get full text

Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error by Maaike Walraad, Jonas Klingwort, Joep Burger

“…The design-based survey estimate was considerably lower than the CRC estimates, which are based on multiple data sources and statistical models. A likely explanation is measurement error in the survey, which is conceivable given the response burden of diary questionnaires. …”
Get full text

Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network. by Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji

“…However, limited data are available for this estimation in the introduction stage. Spatial statistical models have been used to address the lack of information by considering the observations of neighbors or integrating multiple data sources based on the assumption of spatial correlation. …”
Get full text

Optimization of Ultrasound Treatment of Beverage from Mango and Carrot with Added Turmeric Using Response Surface Methodology by Leticia X. Lopez-Martinez, Nill Campos-Gonzalez, Victor M. Zamora-Gasga, Jesús A. Domínguez-Avila, Sunil Pareek, Mónica A. Villegas-Ochoa, Sonia G. Sáyago Ayerdi, Gustavo A. Gonzalez-Aguilar

“…The beverages were subjected to different ultrasound conditions with varying exposure times (ET), sonication amplitudes (SA), and pulse cycles (PC) to obtain the highest values for response variables. Statistical modeling showed that a UT at 21 min ET, 100% SA, and 0.7 s PC, increased TSP, Trolox equivalent antioxidant capacity (TEAC), and ferric reducing antioxidant power (FRAP) by 15.5%, 45.1%, and 15.9%, respectively. …”
Get full text

Chikungunya intra-vector dynamics in Aedes albopictus from Lyon (France) upon exposure to a human viremia-like dose range reveals vector barrier’s permissiveness and supports local... by Viginier, Barbara, Cappuccio, Lucie, Garnier, Céline, Martin, Edwige, Maisse, Carine, Valiente Moro, Claire, Minard, Guillaume, Fontaine, Albin, Lequime, Sébastian, Ratinier, Maxime, Arnaud, Frédérick, Raquin, Vincent

“…In this study, we measured infection, dissemination, and transmission dynamics of chikungunya virus (CHIKV) in a field-derived Aedes albopictus population (Lyon, France) after oral exposure to a range of virus doses spanning human viraemia. Statistical modelling indicates rapid and efficient CHIKV progression in the vector mainly due to an absence of a dissemination barrier, with 100% of the infected mosquitoes ultimately exhibiting a disseminated infection, regardless of the virus dose. …”
Get full text

Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

“…The study demonstrates that the use of statistical models based on machine learning is relevant to predict PM2.5 concentrations from meteorological data.…”
Get full text

Assessing Methods to Measure Stem Diameter at Breast Height with High Pulse Density Helicopter Laser Scanning by Matthew J. Sumnall, Ivan Raigosa-Garcia, David R. Carter, Timothy J. Albaugh, Otávio C. Campoe, Rafael A. Rubilar, Bart Alexander, Christopher W. Cohrs, Rachel L. Cook

“…The stem classification method required comparatively little development of statistical models to provide estimates, which ultimately had a similar level of accuracy (RMSE < 1 cm) to PREV. …”
Get full text