Identifying potential duplicate cancer cases across state boundaries has been a topic of interest for many years. Duplicate cases could distort our understanding of the burden of cancer in a state, region, or even nationally, and waste cancer surveillance resources. This paper reports a pilot quality improvement project to use a publicly available tool to encrypt a standard set of patient identifiers and then link cases across state boundaries as a way to identify and reconcile possible duplicate cases among a group of neighboring states.
View Article and Find Full Text PDFIn light of increasing concerns about climate change and energy security, renewable energy has been seen as the most promising solution to fulfil future energy needs. This study examines the drivers of renewable energy consumption (REC) and the nexus between GDP growth, technological innovation, gross fixed capital formation, CO2 emissions, income inequality, and renewable energy consumption (REC) using annual data from BRICS countries. To this end, the study uses the augmented mean group (AMG) estimator, a second-generation estimator that takes slope homogeneity and cross-sectional dependence into consideration.
View Article and Find Full Text PDFBackground: Different researchers have studied the effects of different types of stretching on different muscle groups. Since distal muscles are fully activated and proximal muscles are sub-optimally activated; thus, we might see different responses to stretching in the proximal and distal groups of muscles depending on their muscle activation. Therefore, this study aimed to compare the acute effects of 2, 4, and 8 minutes of intermittent static stretching (SS) on the isometric maximum voluntary contraction force (MVCF) of proximal (Hamstring) and distal (Calf) groups of muscles.
View Article and Find Full Text PDFThis study examines the association among the green energy production (GEP), green technological innovation (GTI), and green international trade (GIT) on the ecological footprints (EFP). In addition, this research applies fully modified least square (FMOLS) to estimate the empirical outcomes, while dynamic least square (DOLS) is used to check the robustness of the outcomes. Although, the selection of the assessment technique depends on the order of integration of the selected series.
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