The overarching goal of this dissertation is to evaluate if perceived stress and systemic inflammation are associated with cognitive decline, and if NSAID use among Boston Puerto Rican Health Study ...
A new Brazilian study has revealed the key role of the protein periostin and stellate pancreatic cells in allowing pancreatic ...
A new study from the University of Haifa suggests that disorders as different as Alzheimer’s, schizophrenia, and autism may ...
This review innovatively proposes the use of electrospinning to fabricate electroactive fibrous scaffolds, which mimic the structure of the extracellular matrix while providing electrical activity, ...
The PHISPLIT algorithm approximates actions of phi-functions for d-dimensional Kronecker sums of matrices using a mu-mode approach. The technique is based on a ...
Abstract: Computing matrix gradient has become a key aspect in modern signal processing/machine learning, with the recent use of matrix neural networks requiring matrix backpropagation. In this field, ...
A second look at the sequel that split the fandom. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. But here’s the thing: I recently rewatched ...
Streaming has undoubtedly changed how we watch movies. While nothing can replace the theatrical experience, the pros of streaming ultimately outweigh the cons. That being said, the prices are getting ...
Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. This image provided by the Allen Institute on ...
Abstract: We consider a generalization of the Laplace transform of Poisson shot noise defined as an integral transform with respect to a matrix exponential. We denote this as the matrix Laplace ...
The search for practical methods to represent and evaluate risk is undoubtedly a topic of methodological interest. In risk management, it is necessary to establish, through appropriate valuation ...
Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian ...
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