RESUMO
We present the novel implementation of a non-differentiable metric approximation and a corresponding loss-scheduling aimed at the search for new particles of unknown mass in high energy physics experiments. We call the loss-scheduling, based on the minimisation of a figure-of-merit related function typical of particle physics, a Punzi-loss function, and the neural network that utilises this loss function a Punzi-net. We show that the Punzi-net outperforms standard multivariate analysis techniques and generalises well to mass hypotheses for which it was not trained. This is achieved by training a single classifier that provides a coherent and optimal classification of all signal hypotheses over the whole search space. Our result constitutes a complementary approach to fully differentiable analyses in particle physics. We implemented this work using PyTorch and provide users full access to a public repository containing all the codes and a training example.
RESUMO
Neisseria meningitidis infection should be considered in patients presenting with septic arthritis especially if Gram-negative diplococcic are observed on Gram-stain.
RESUMO
We have analysed homotypic adhesion induced by the phorbol ester TPA in EBV-immortalized Down's syndrome (trisomy 21) and normal lymphoblastoid cell lines. Our results show that the trisomy 21 cells aggregated more readily than normal cells. The aggregation of the two types of cell was blocked effectively by the addition of monoclonal antibodies to the alpha and beta chains (CD11a, CD18) of lymphocyte function-associated antigen (LFA-), but not by monoclonal antibodies to LFA-3 and the alpha chain of p150,95 (CD11c). Since TPA did not increase the expression of CD18 on trisomy 21 cells, we conclude that the increased adhesiveness is the result of over-expression of CD18 as a result of gene dosage.
