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. …”
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Analytical Quality by Design approach in development and optimization of HPLC method for assay of angiotensin – converting enzyme inhibitor in tablets by Veronika Popovska Jakimovska, Ana Atanasova, Filip Gogu, Maja Stevanoska, Emilija Arsovska Popovska, Packa Antovska, Suzana Trajkovic Jolevska, Jasmina Tonic Ribarska

“…The aim of this study was to implement a software which uses experimental design plans as an efficient and fast tool for development of method for quantitative determination of content of ACE inhibitor in tablets. Using statistical models in method development and optimization, the effect of each factor on responses of interest were calculated and the data were used to find the optimal chromatographic conditions. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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. …”
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Modeling the Phylogenetic Rates of Continuous Trait Evolution: An Autoregressive–Moving-Average Model Approach by Dwueng-Chwuan Jhwueng

“…The rates of continuous evolution plays a crucial role in understanding the pace at which species evolve. Various statistical models have been developed to estimate the rates of continuous trait evolution for a group of related species evolving along a phylogenetic tree. …”
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The contributions of language and inhibitory control to false belief reasoning over time by Jill G. de Villiers, Peter de Villiers

“…However, the empirical studies so far have fallen short, in that they generally have too few participants for adequate statistical modeling; they do not include control variables; or they are cross-sectional rather than longitudinal, making inferences about causal direction much more tenuous.MethodsThe present study considers the role of these different variables in the development of false belief reasoning over several months of testing, with 258 children aged three to five years. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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