334 research outputs found
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality
Both the path integral measure in field theory and ensembles of neural
networks describe distributions over functions. When the central limit theorem
can be applied in the infinite-width (infinite-) limit, the ensemble of
networks corresponds to a free field theory. Although an expansion in
corresponds to interactions in the field theory, others, such as in a small
breaking of the statistical independence of network parameters, can also lead
to interacting theories. These other expansions can be advantageous over the
-expansion, for example by improved behavior with respect to the universal
approximation theorem. Given the connected correlators of a field theory, one
can systematically reconstruct the action order-by-order in the expansion
parameter, using a new Feynman diagram prescription whose vertices are the
connected correlators. This method is motivated by the Edgeworth expansion and
allows one to derive actions for neural network field theories. Conversely, the
correspondence allows one to engineer architectures realizing a given field
theory by representing action deformations as deformations of neural network
parameter densities. As an example, theory is realized as an
infinite- neural network field theory.Comment: 49 pages, plus references and appendice
Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics
The large-scale organization of dynamical neural activity across cortex emerges through long-range interactions among local circuits. We hypothesized that large-scale dynamics are also shaped by heterogeneity of intrinsic local properties across cortical areas. One key axis along which microcircuit properties are specialized relates to hierarchical levels of cortical organization. We developed a large-scale dynamical circuit model of human cortex that incorporates heterogeneity of local synaptic strengths, following a hierarchical axis inferred from MRI-derived T1w/T2w mapping, and fit the model using multimodal neuroimaging data. We found that incorporating hierarchical heterogeneity substantially improves the model fit to fMRI-measured resting-state functional connectivity and captures sensory-association organization of multiple fMRI features. The model predicts hierarchically organized high-frequency spectral power, which we tested with resting-state magnetoencephalography. These findings suggest circuit-level mechanisms linking spatiotemporal levels of analysis and highlight the importance of local properties and their hierarchical specialization on the large-scale organization of human cortical dynamics
Magnetic Behaviour of Disordered Ising Ferrimagnet in High Magnetic Field
The magnetic behaviour of a disordered ferrimagnetic system Ap B1-p where
both A and B represent the magnetic atoms with respective spin SA = 1/2 and SB
= 1 in presence of high magnetic field is treated theoretically.Assuming the
magnetic interaction can be described through Ising Hamiltonian the approximate
free energy is obtained using the cluster-variational method. The field
dependence of the magnetization is then obtained for different concentration p
and exchange parameters (JAA, JBB and JAB). For p = 0.5,the magnetization M in
ferrimagnetic state and in absence of compensation temperature Tcm vanishes at
TC.Field induced reversal of M is found at switching temperature TS (<TC) which
is decreasing function of field H.A maximum in M is found above TS and the
maximum value of M increases with field.In ferrimagnetic state M increases
almost linearly at high H region. For system with large ferromagnetic JAA,the
compensation temperature Tcm is increasing function of JBB and JAB .The
decrease in compensation temperature is linear at small field and tends to
saturate at higher field.The sharpness of the magnetization reversal is
increased with H.For fully compensated state of the system with p = 2/3,the
magnetization in presence of H also exhibits switching behaviour at TS .For p =
0.2 the field induced reversal of magnetization occurs more sharply.The
orientational switching of the sublattice magnetization MA and MB with field
increases the Zeeman energy and is the origin of magnetization reversal at TsComment: 12 pages,9 Figure
The relationship between dark triad personality traits and sexting behaviors among adolescents and young adults across 11 countries
Background: Sexting is an increasingly common phenomenon among adolescents and young adults. Some studies have investigated the role of personality traits in different sexting behaviors within mainstream personality taxonomies like Big Five and HEXACO. However, very few studies have investigated the role of maladaptive personality factors in sexting. Therefore, the present study investigated the relationship between Dark Triad Personality Traits and experimental (i.e., sharing own sexts), risky (i.e., sexting under substance use and with strangers), and aggravated sexting (i.e., non-consensual sexting and sexting under pressure) across 11 countries. Methods: An online survey was completed by 6093 participants (Mage = 20.35; SDage = 3.63) from 11 different countries which covered four continents (Europe, Asia, Africa, and America). Participants completed the Sexting Behaviors Questionnaire and the 12-item Dark Triad Dirty Dozen scale. Results: Hierarchical regression analyses showed that sharing own sexts was positively predicted by Machiavellianism and Narcissism. Both risky and aggravated sexting were positively predicted by Machiavellianism and Psychopathy. Conclusions: The present study provided empirical evidence that different sexting behaviors were predicted by Dark Triad Personality Traits, showing a relevant role of Machiavellian-ism in all kinds of investigated sexting behaviors. Research, clinical, and education implications for prevention programs are discussed
The value of hepatic diffusion-weighted MR imaging in demonstrating hepatic congestion secondary to pulmonary hypertension
Studies of a Ring-Cleaving Dioxygenase Illuminate the Role of Cholesterol Metabolism in the Pathogenesis of Mycobacterium tuberculosis
Mycobacterium tuberculosis, the etiological agent of TB, possesses a cholesterol catabolic pathway implicated in pathogenesis. This pathway includes an iron-dependent extradiol dioxygenase, HsaC, that cleaves catechols. Immuno-compromised mice infected with a ΔhsaC mutant of M. tuberculosis H37Rv survived 50% longer than mice infected with the wild-type strain. In guinea pigs, the mutant disseminated more slowly to the spleen, persisted less successfully in the lung, and caused little pathology. These data establish that, while cholesterol metabolism by M. tuberculosis appears to be most important during the chronic stage of infection, it begins much earlier and may contribute to the pathogen's dissemination within the host. Purified HsaC efficiently cleaved the catecholic cholesterol metabolite, DHSA (3,4-dihydroxy-9,10-seconandrost-1,3,5(10)-triene-9,17-dione; kcat/Km = 14.4±0.5 µM−1 s−1), and was inactivated by a halogenated substrate analogue (partition coefficient<50). Remarkably, cholesterol caused loss of viability in the ΔhsaC mutant, consistent with catechol toxicity. Structures of HsaC:DHSA binary complexes at 2.1 Å revealed two catechol-binding modes: bidentate binding to the active site iron, as has been reported in similar enzymes, and, unexpectedly, monodentate binding. The position of the bicyclo-alkanone moiety of DHSA was very similar in the two binding modes, suggesting that this interaction is a determinant in the initial substrate-binding event. These data provide insights into the binding of catechols by extradiol dioxygenases and facilitate inhibitor design
The diagnostic and prognostic value of red cell distribution width in cardiovascular disease, current status and prospective
The red blood cell distribution width (RDW) is an index of the heterogeneity of circulating red blood cell size, which along with other standard complete blood count (CBC) parameters are used to identify hematological system diseases. Besides hematological disorders, several clinical studies have shown that an increased in the RDW may be associated with other diseases including acute pancreatitis, chronic kidney disease, gastrointestinal disorders, cancer, and of special interest in this review, cardiovascular disease (CVD). The diagnostic and prognostic value of RDW in different CVD (acute coronary syndrome, ischemic cerebrovascular disease, peripheral artery disease, atrial fibrillation, heart failure, and acute ischemic stroke) has been reviewed in this article, to provide an understanding how its measurement may be applied to improve the management of these conditions.Keywords: RDW, Biomarker, Cardiovascular disease
An Intergenic Non-Coding rRNA Correlated with Expression of the rRNA and Frequency of an rRNA Single Nucleotide Polymorphism in Lung Cancer Cells
Stimulation magnétique transcrânienne répétée (rTMS) dans le traitement de la schizophrénie : intérêts et perspectives
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