Pedestrian detection is widely used in real-time surveillance, urban traffic, and other fields.As a crucial direction in pedestrian detection, dense pedestrian detection still faces many unresolved challenges.Existing methods suffer from low detection accuracy, high miss rates, large model parameters, and poor robustness.In this paper, to address t
Abstract Meaningful engagement and partnerships with people who use drugs are essential to conducting research that is relevant and impactful in supporting desired outcomes of drug consumption as well as reducing drug-related harms of overdose and COVID-19.Community-based participatory research is a key strategy for engaging communities in research
I hypothesize that the distribution of barren-ground caribou (Rangifer tarandus granti) is affected by multiple, interrelated factors.These factors include, but are not limited to, terrain and snow characteristics as well as predation pressure and habitat.To test this hypothesis, I attributed caribou locations derived from satellite telemetry over
The information bottleneck method is a generic clustering framework from the field of machine learning which allows compressing an observed quantity while retaining as much of the mutual information it shares with the quantity of primary relevance as possible.The framework was recently used to design message-passing soda cap earrings decoders for l
The monoaminergic hypothesis of depression has provided the basis for extensive research into the pathophysiology of mood disorders and has been magnolia parka of great significance for the development of effective antidepressants.Current antidepressant treatments not only increase serotonin and/or noradrenaline bioavailability but also originate a