Objectives We evaluated the association between exposure to polycyclic aromatic hydrocarbons (PAHs) and immunological measurements using blood samples from coke oven workers exposed high low PAH levels. Methods A population-based cross-sectional study was conducted 2008–2009 with steel-rolling as control groups, respectively. Questionnaires on basic demographic information were administered. Personal breathing zone urine collected quantify personal intake biological response doses....

Autism spectrum disorder (ASD) is a neurodevelopmental disability with atypical traits in behavioral and physiological responses. These individuals ASD may be too subtle subjective to measure visually using tedious methods of scoring. Alternatively, the use intrusive sensors measurement psychophysical responses likely cause inhibition bias. This paper proposes novel experimental protocol for non-intrusive sensing analysis facial expression, visual scanning, eye-hand coordination investigate...

Modeling efforts are needed to predict trends in COVID-19 cases and related health outcomes, aiding the development of management strategies adaptation measures. This study was conducted assess whether SARS-CoV-2 viral load wastewater could serve as a predictor for forecasting cases, hospitalizations, deaths using copula-based time series modeling. RNA Chesapeake, VA, measured RT-qPCR method. A Gaussian copula (CTS) marginal regression model, incorporating an autoregressive moving average...

The objective of the study was to examine associations between environmentally relevant low metal concentrations and semen quality parameters in men. zinc (Zn), copper (Cu), cadmium (Cd), arsenic (As), selenium (Se), lead (Pb) seminal plasma urine were measured from 196 male human subjects Taiwan. Urinary Cd negatively associated with sperm viability (p = 0.006). Seminal Cu normal group (≥ 15 × 10(6)/ml) significantly lower than those abnormal 0.023). However, linear regression analysis...

Multivariate control charts are essential tools in multivariate statistical process control. In real applications, when a shifts, it occurs either location or scale. Several methods have been proposed recently to monitor the covariance matrix. Most of these use rational subgroups and used detect large shifts. this paper, we propose new accumulative method, based on penalized likelihood estimators, that uses individual observations is useful small persistent shifts sparsity present.

Statistical process control (SPC) applies the science of statistics to various controls in order provide higher-quality products and better services. Multivariate charts are essential tools multivariate SPC. Hotelling’s based on rational subgroups sample sizes larger than one very sensitive for detecting relatively large shifts mean vectors. However, it makes some restrictive assumptions (multivariate normal distribution) that usually difficult be satisfied real applications. Modern...

Count time series data are observed in several applied disciplines such as environmental science, biostatistics, economics, public health, and finance. In some cases, a specific count, usually zero, may occur more often than other counts. However, overlooking the frequent occurrence of zeros could result misleading inferences. this article, we develop copula-based regression model for zero-inflated Zero-inflated Poisson (ZIP), negative binomial (ZINB), Conway-Maxwell-Poisson (ZICMP)...

Discrete choice models (DCMs) are applied in many fields and the statistical modelling of consumer behavior. This paper focuses on a form experiment, best–worst scaling discrete experiments (DCEs), transition probability over time. The analysis was conducted by using simulated data (choice pairs) based from Flynn’s (2007) ‘Quality Life Experiment’. Most traditional approaches assume alternatives mutually exclusive time, which is questionable assumption. We introduced new copula-based model...

A bivariate distribution whose marginal are gamma and beta prime is introduced. The derived the generation of such sample shown. Extension results given in multivariate case under a joint independent component analysis method. Simulated applications they show consistency our approach. Estimation procedures for provided.

Count time series data with excess zeros are observed in several applied disciplines. When these zero-inflated counts sequentially recorded, they might result serial dependence. Ignoring the zero-inflation and dependence produce inaccurate results. In this paper, Markov count models based on a joint distribution consecutive observations proposed. The function of is constructed through copula functions. First- second-order chains considered univariate margins Poisson (ZIP), negative binomial...

Individuals with type 1 diabetes (T1D) are able to balance their blood glucose levels while engaging in a wide variety of physical activities and sports. However, insulin use forces them contend many daily training performance challenges involved fine-tuning medication dosing, activity levels, dietary patterns optimize participation performance. The aim this study was ascertain which variables related the management physically active individuals T1D have greatest impact on overall (reported...

A novel copula-based time series (CTS) model was developed for forecasting COVID-19 cases and trends based on wastewater SARS-CoV-2 viral load clinical variables. Wastewater samples were collected from pumping stations in five sewersheds the City of Chesapeake VA. quantified using reverse transcription droplet digital PCR (RT-ddPCR). The dataset included daily reported cases, hospitalization death cases. CTS development two steps: an autoregressive moving average (ARMA) analysis (step I),...

When a website is suddenly lost without backup, it maybe reconstituted by probing web archives and search engine caches for missing content. In this paper we describe an experiment where crawled reconstructed 300 randomly selected websites on weekly basis 14 weeks. The reconstructions were performed using our web-repository crawler named Warrick which recovers resources from the Web Infrastructure (WI), collective preservation effort of caches. We examine several characteristics over time...

A repeated measurement cohort study was conducted to determine whether 2-napthol can be a suitable biomarker for evaluating the magnitude of exposure PAHs from coke oven emissions. Time-course patterns urinary 2-naphthol levels in coke-oven workers were examined. Also, correlation between and personal breathing zone samples analyzed while examining adjusting possible confounding factors, such as smoking alcohol consumption, age human subjects. total 8 spot urine collected each high-exposure...

Much research has been conducted over the last half century in developing stochastic processes, and their dynamical nature. Typically, for time indexed temporal distribution is restricted to those having marginal distributions of a specified familiar lifetime family. Extensions models spatio-temporal setting can be challenging. We generalize results from spatial statistic that captures local correlation, Moran's index, frame describe model applied phenomena. The proposed approach leads novel...

Abstract There are specific challenges related to forensic dental radiology and difficulties in aligning X‐ray equipment teeth of interest. Researchers used 3D printing create a new device, the combined holding aiming device ( CHAD ), address positioning limitations current devices. Participants N = 24) , soft wax, modified external MEAD ) determine preference, radiographer's efficiency, technique errors. Each participant exposed six X‐rays per for total 432 scored. A significant difference...