Self-supervised learning Apparel methods have received much attention in skeleton-based human action recognition.These methods rely on pretext tasks to utilize unlabeled data and learn an effective feature encoder.In this paper, a novel self-supervised learning method is proposed.First, we design a new pretext task called view enhanced jigsaw puzzl
Abstract Background Despite several effective treatment options available for prostate cancer, it remains the second leading cause of cancer death in American men.Thus, there is a great need for new treatments to improve outcomes.One such strategy is to eliminate cancer through the expression of cytotoxic genes specifically in prostate cells by gen
Streamflow is often the only variable used to evaluate Candles hydrological models.In a previous international comparison study, eight research groups followed an identical protocol to calibrate 12 hydrological models using observed streamflow of catchments within the Meuse basin.In the current study, we quantify the differences in five states and
The movement of organisms facilitated by anthropogenic activities is a serious threat to marine diversity, especially for endemic species that may be outcompeted from non-indigenous species (NIS).In this study, we have analyzed communities inhabiting the north of the Gulf of Aqaba, Red Sea, employing environmental DNA (eDNA) metabarcoding.That gulf
A method of organizing electron-wave interaction at the multiplied frequency of the signal wave is proposed.This type Ring Holder of electron-wave interaction provides multiplied-frequency electron bunching, which leads to formation of an intense harmonic of the electron current at a selected multiplied frequency of the signal wave.This effect is a