and it s quite emotionally tough and sometimes you feel like you take on their struggles because they re not able to be at the bedside. this merciless disease has taken its toll on so many staff. malachi started as a nurse exactly a year ago. in the peak, he cared for four patients at once. he was meant to care forjust one. i mean, there were three deaths in the last 24 hours here, on this ward, yeah. and that s a lot. and then you turn around and there s still 12 other patients. it sjust not feasible, you can t carry on like this for a long time. with case numbers now falling, the nhs is turning its attention to its next mammoth task dealing with the backlog of operations that have been delayed by the pandemic. there s a whole group of patients who ve been waiting to be seen in clinic and then go on a waiting list. so the backlog will be, will be huge. the nhs is starting cautiously to look beyond the upheaval inflicted by covid. but this could be a brief moment of calm, a
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Federated learning (FL) strives to enable collaborative training of deep models on the distributed clients of different data without centrally aggregating raw data and hence improving data privacy. Nevertheless, a central challenge in training classification models in the federated system is learning with non-IID data. Most of the existing work is dedicated to eliminating the heterogeneous influence of non-IID data in a federated system. However, in many real-world FL applications, the co-occurrence of data heterogeneity and long-tailed distribution is unavoidable. The universal class distribution is long-tailed, causing them to become easily biased towards head classes, which severely harms the global model performance. In this work, we also discovered an intriguing fact that the classifier logit vector (i.e., pre-softmax output) introduces a heterogeneity drift during the learning process of local training and global optimization, which harms the convergence as well as model performa
monkeys offer the face of this planet. reporter: the long tailed and pig-tailed macaques are now classified as endangered. china used to supply the monkeys, but when the pandemic struck, beijing shut the door and cambodian breeding facilities like these filmed by nbc news stepped in to fill the orders. what is that leading to in terms of the international trade of monkeys right now? this trade is so violent, it s so dark, it s so shady. reporter: just last month the department of justice charged two cambodian government officials and six others linked to this breedding facility with illegally exploiting monkeys caught in the wild to the u.s. some cambodian monkeys have ended up at this massive facility in texas. last year an executive was convicted of lying to federal agents about visits to monkey suppliers in cambodia. the facility is now under new ownership and says it s not importing from cambodia. for dr. jones-engel the concern goes beyond where the monkeys are coming from.
Oscar Thomas is a 21-year-old wildlife photographer and author, studying Zoology and Ecology here at Otago University. Oscar is a Blake Ambassador, and a recipient of Otago’s True Young Explorers Scholarship. His book, “A Naturalist's Guide to the Birds of New Zealand'' was