Experimental Validation of Antiobesogenic and Osteoprotective Efficacy of Ginsenoside CK via Targeting Lipid and Atherosclerosis Pathways.

The present study explored the possible antiobesogenic and osteoprotective properties of the gut metabolite ginsenoside CK to clarify its influence on lipid and atherosclerosis pathways, thereby validating previously published hypotheses. These hypotheses were validated by harvesting and cultivating 3T3-L1 and MC3T3-E1 in adipogenic and osteogenic media with varying concentrations of CK. We assessed the differentiation of adipocytes and osteoblasts in these cell lines by applying the most effective doses of CK that we initially selected.

Molecular-based laboratory testing confer accuracy over microscopical testing for tick identification.

As per published literature, the tick is the primary Lyme disease vector in British Columbia (BC), while the tick species is the dominant vector on the East Coast of Canada, with no . presence seen in BC. However, a recent publication reported presence of in BC which initiated this study to determine the accuracy of the microscopic identification of ticks received in the BC Centre for Disease Control (BCCDC) Public Health Laboratory and compare morphologic methods to molecular methods.

'We Need Equitable Exercise Opportunities': The Complexity of Leisure-Time Physical Activity and Its Relationship to Mental Health among Arab Canadians: The CAN-HEAL Study.

A growing body of evidence suggests that leisure-time physical activity (LTPA) impacts one's mental health (MH) positively. The suggested MH benefits of LTPA may present a promising avenue to promote the MH of immigrants/refugees, who often face various stressors that may impede their MH. The CAN-HEAL study aimed to examine LTPA needs as they pertain to MH among Arab Canadians.

Using articulatory feature detectors in progressive networks for multilingual low-resource phone recognitiona).

Systems inspired by progressive neural networks, transferring information from end-to-end articulatory feature detectors to similarly structured phone recognizers, are described. These networks, connecting the corresponding recurrent layers of pre-trained feature detector stacks and newly introduced phone recognizer stacks, were trained on data from four Asian languages, with experiments testing the system on those languages and four African languages. Later adjustments of these networks include the use of contrastive predictive coding layers at the inputs to those networks' recurrent portions.