Results 71 to 80 of about 2,998,558 (396)
A Joint Learning Approach for Semi-supervised Neural Topic Modeling [PDF]
Topic models are some of the most popular ways to represent textual data in an interpret-able manner. Recently, advances in deep generative models, specifically auto-encoding variational Bayes (AEVB), have led to the introduction of unsupervised neural topic models, which leverage deep generative models as opposed to traditional statistics-based topic ...
arxiv
A correlated topic model of Science [PDF]
Topic models, such as latent Dirichlet allocation (LDA), can be useful tools for the statistical analysis of document collections and other discrete data. The LDA model assumes that the words of each document arise from a mixture of topics, each of which is a distribution over the vocabulary.
arxiv +1 more source
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez+3 more
wiley +1 more source
The silent barrier: exploring data availability in Small Island Developing States
Objective. To quantify three aspects of data-related developmental progress across 57 Small Island Developing States (SIDS) recognized by the United Nations: statistical capacity measured using the Statistical Performance Indicators (SPI), data ...
Ian Richard Hambleton, Selvi Jeyaseelan
doaj +1 more source
Financial Applications of Random Matrix Theory: a short review [PDF]
We discuss the applications of Random Matrix Theory in the context of financial markets and econometric models, a topic about which a considerable number of papers have been devoted to in the last decade.
Bouchaud, J. P., Potters, M.
core +1 more source
Topics in statistical mechanics
This thesis aims to showcase the versatility of statistical mechanics. It splits into two parts: firstly, applications of Doi-Peliti field theory to filament growth and branching processes, and secondly, wetting phenomena on structured surfaces. In Chapter 1, I derive the Doi-Peliti field theory; the derivation starts with stochastic processes that ...
openaire +3 more sources
Ion channel function of polycystin‐2/polycystin‐1 heteromer revealed by structure‐guided mutagenesis
Mutations in polycystin‐1 (PC1) or polycystin‐2 (PC2) cause autosomal‐dominant polycystic kidney disease (ADPKD). We generated a novel gain‐of‐function PC2/PC1 heteromeric ion channel by mutating pore‐blocking residues. Moreover, we demonstrated that PC2 will preferentially assemble with PC1 to form heteromeric complexes when PC1 is co‐expressed ...
Tobias Staudner+7 more
wiley +1 more source
A Spectral Algorithm for Latent Dirichlet Allocation [PDF]
The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g., the words in each document are generated as a mixture of several active ...
Anandkumar, Animashree+4 more
core +2 more sources
Empirical Research in Statistics Education
In this ICME-13 Topical Survey, we provide a review of recent research into statistics education. We focus our review on empirical research that has been published in established educational journals or the proceedings of important conferences that ...
Andreas Eichler, Lucía Zapata-Cardona
semanticscholar +1 more source
The protonated form of butyrate, as well as other short‐chain fatty acids (SCFAs), is membrane permeable. In acidic extracellular environments, this can lead to intracellular accumulation of SCFAs and cytosolic acidification. This phenomenon will be particularly relevant in acidic environments such as the large intestine or tumor microenvironments ...
Muwei Jiang+2 more
wiley +1 more source