In recent years, self-supervised learning has made tremendous progress in closing the gap to supervised learning due to the rapid development of more sophisticated approaches like SimCLR, MoCo, and SwAV.However, these Phat Company achievements are primarily evaluated on common benchmark datasets.In this paper, we focus on evaluating self-supervised
Deep learning (DL) models have shown promise in detecting chronic kidney disease (CKD) from fundus photographs.However, previous studies have utilized a serum FRIZZ CONTROL CREAM creatinine-only estimated glomerular rate (eGFR) equation to measure kidney function despite the development of more up-to-date methods.In this study, we developed two set
Community-based conservation (CBC) is widely recognized as an important strategy (locally, nationally, and internationally) in efforts to conserve biodiversity.This article examines approaches to improve the effectiveness of CBC by resolving tensions between government institutions and local communities, in terms of respective environmental steward
Social networking sites (SNSs) have become ubiquitous in our everyday lives, and for all its communicative benefits, excessive SNS use has been associated with a range of negative health implications.In the present study, the authors use eye-tracking methodology to explore the relationship between individual differences in personality, mental well-