Results 111 to 120 of about 260,119 (338)
Introdução: Em 2013 foi introduzida em Portugal a classificação quanto à dispensa de medicamentos não sujeitos a receita médica de dispensa exclusiva em farmácia, uma subclassificação dos medicamentos não sujeitos a receita médica.
Ana Paula Martins+4 more
doaj +1 more source
Investigation of the Jahn-Teller Transition in TiF3 using Density Functional Theory
We use first principles density functional theory to calculate electronic and magnetic properties of TiF3 using the full potential linearized augmented plane wave method.
A. Briley+29 more
core +1 more source
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs [PDF]
Latent Dirichlet Allocation(LDA) is a popular topic model. Given the fact that the input corpus of LDA algorithms consists of millions to billions of tokens, the LDA training process is very time-consuming, which may prevent the usage of LDA in many scenarios, e.g., online service.
arxiv
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu+38 more
wiley +1 more source
Large‐scale studies indicate a strong relationship between the gut microbiome, type 2 diabetes mellitus (T2DM), and atherosclerotic cardiovascular disease (ASCVD). Here, a higher abundance of the type III secretion system (T3SS) virulence factors of Enterobacteriaceae/Escherichia‐Shigella in patients with T2DM‐related‐ASCVD, which correlates with their
Yao‐Yuan Zhang+15 more
wiley +1 more source
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks
In this paper, we present a novel approach to perform deep neural networks layer-wise weight initialization using Linear Discriminant Analysis (LDA). Typically, the weights of a deep neural network are initialized with: random values, greedy layer-wise ...
Alberti, Michele+4 more
core +1 more source
Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai+5 more
wiley +1 more source
Modeling Climate Change Issues in Indonesia Based on Media Headlines
Climate change has become a global issue affecting all countries in the last decades. This phenomenon poses a concern to Indonesia as it is one of the climate change’s epicenters. Various studies have shown that climate change can harm multiple community
Anang Kunaefi, Aris Fanani
doaj +1 more source
The self-organizing fuzzy (SOF) logic classifier is an efficient and non-parametric classifier. Its classification process is divided into an offline training stage, an online training stage, and a testing stage.
Wenhua Du+12 more
doaj +1 more source
Variable Selection for Latent Dirichlet Allocation [PDF]
In latent Dirichlet allocation (LDA), topics are multinomial distributions over the entire vocabulary. However, the vocabulary usually contains many words that are not relevant in forming the topics. We adopt a variable selection method widely used in statistical modeling as a dimension reduction tool and combine it with LDA. In this variable selection
arxiv