In deep learning (DL)–based human action recognition (HAR), considerable strides have been undertaken.Nevertheless, the precise classification of sports athletes’ actions still needs to be completed.Primarily attributable to the exigency for exhaustive datasets about sports athletes’ actions and the enduring quandaries imposed
INTRODUCTION: This study investigated the effect of acupuncture treatment on attack frequency, pain intensity, and disability in patients with migraine without aura that receives prophylaxis treatment.METHODS: Eighty-four patients with migraine without aura were randomized to the intervention group (IG; n=42) and control group (CG; n=42).IG receive
Near-infrared persistent luminescence (PersL) nanoparticles (NPs) have great potential in biomedical applications due to their ability to continuously emit tissue-penetrating light.Despite numerous reports on the distribution, biological decada tequila safety and other consequences of PersL NPs in vitro and in vivo, there has been a lack of studies
Lifelong infection of the gastric mucosa by Helicobacter pylori can lead to peptic ulcers and gastric cancer.However, how the bacteria maintain chronic colonization in the face of constant mucus and epithelial cell turnover in the stomach is unclear.Here, we present a new model of how H.pylori establish and persist in stomach, which involves the co
Motorized transport is one of the main contributors to anthropogenic CO 2 emissions, which cause global warming.Other emissions, like nitrogen oxides or carbon monoxide, are detrimental to human health.A prominent way to understand and thus be able to minimize emissions is by using traffic simulations to evaluate different scenarios.In that way, on