Objectives We evaluated the association between exposure to polycyclic aromatic
hydrocarbons (PAHs) and immunological measurements using blood samples from coke oven …

Missing values in tabular data restrict the use and performance of machine learning,
requiring the imputation of missing values. Arguably the most popular imputation algorithm is …

Autism spectrum disorder (ASD) is a neurodevelopmental disability with atypical traits in
behavioral and physiological responses. These atypical traits in individuals with ASD may be …

The objective of this study was to develop a novel copula-based time series (CTS) model to
forecast COVID-19 cases and trends based on wastewater SARS-CoV-2 viral load and …

The objective of the study was to examine the associations between environmentally relevant
low metal concentrations and semen quality parameters in men. The concentrations of …

The objective of the cross-sectional study was to assess whether exposure to polycyclic
aromatic hydrocarbons (PAHs) from coke oven emissions contributed to alteration of semen …

Research on assessment and monitoring methods has primarily focused on fisheries with
long multivariate data sets. Less research exists on methods applicable to data-poor fisheries …

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 …

Multivariate control charts are essential tools in multivariate statistical process control. In real
applications, when a multivariate process shifts, it occurs in either location or scale. Several …

Count time series data with excess zeros are observed in several applied disciplines. When
these zero-inflated counts are sequentially recorded, they might result in serial dependence. …