Factorizations of almost simple groups with a factor having many nonsolvable composition factors [PDF]
arXiv, 2017 This paper classifies the factorizations of almost simple groups with a factor having at least two nonsolvable composition factors. This together with a previous classification result of the authors reduces the factorization problem of almost simple groups to the case where both factors have a unique nonsolvable composition factor.
arxiv
Modulation of neurotrophic signaling pathways by polyphenols [PDF]
, 2015 Polyphenols are an important class of phytochemicals, and several lines of evidence have demonstrated their beneficial effects in the context of a number of pathologies including neurodegenerative disorders such as Alzheimer's and Parkinson's disease. In
Firuzi, Omidreza +3 more
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Brain-derived neurotrophic factor and neurotrophin-3 activate striatal dopamine and serotonin metabolism and related behaviors: interactions with amphetamine [PDF]
, 1994 Mathew T. Martin‐Iverson +2 more
openalex +1 more source
Purification and characterisation of a brain‐derived neurotrophic factor/ neurotrophin‐3 (BDNF/NT‐3) heterodimer [PDF]
, 1994 Stefan Jungbluth +2 more
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Interpretable Sparse Proximate Factors for Large Dimensions [PDF]
arXiv, 2018 This paper proposes sparse and easy-to-interpret proximate factors to approximate statistical latent factors. Latent factors in a large-dimensional factor model can be estimated by principal component analysis (PCA), but are usually hard to interpret.
arxiv
Effects of lithium on inflammatory and neurotrophic factors after an immune challenge in a lisdexamfetamine animal model of mania [PDF]
, 2019 Objective: To evaluate whether an animal model of mania induced by lisdexamfetamine dimesylate (LDX) has an inflammatory profile and whether immune activation by lipopolysaccharides (LPS) has a cumulative effect on subsequent stimuli in this model.
Ascoli, Bruna Maria +5 more
core
The Infinite Hierarchical Factor Regression Model [PDF]
NIPS 2008, 2009 We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we propose a sparse variant of the Indian Buffet Process and couple this with a hierarchical model over factors, based on Kingman's coalescent. We apply this model to two problems (
arxiv
Brain-derived neurotrophic factor is an endogenous modulator of nociceptive responses in the spinal cord [PDF]
, 1999 Steve Thompson +4 more
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Brain-derived neurotrophic factor: role in depression and suicide [PDF]
, 2009 Depression and suicidal behavior have recently been shown to be associated with disturbances in structural and synaptic plasticity. Brain-derived neurotrophic factor (BDNF), one of the major neurotrophic factors, plays an important role in the ...
Dwivedi, Yogesh
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New Pivot Selection for Sparse Symmetric Indefinite Factorization [PDF]
arXiv, 2016 We propose a new pivot selection technique for symmetric indefinite factorization of sparse matrices. Such factorization should maintain both sparsity and numerical stability of the factors, both of which depend solely on the choices of the pivots. Our method is based on the minimum degree algorithm and also considers the stability of the factors at ...
arxiv