Results 81 to 90 of about 988,863 (326)

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou, Konstantina Dipla, Danai Faitatzidou, Fotini Iatridi, Areti Georgiou, Artemios Karagiannidis, Erasmia Sampani, Chrysostomos Dimitriadis, Aggelos Koutlas, Andreas Zafeiridis, Pantelis Sarafidis   +10 more
wiley   +1 more source

Towards Understanding Community Interests With Topic Modeling

IEEE Access, 2018
Community plays an important role in shaping a network. Quantitatively interpreting a community is necessary for graph generalization which is used for privacy preserving, summarization, and dimensionality reduction in social network mining.
Feng Wang, Kenneth Orton, Paul Wagenseller, Kuai Xu   +3 more
doaj   +1 more source

Jointly Modeling Topics and Intents with Global Order Structure

, 2015
Modeling document structure is of great importance for discourse analysis and related applications. The goal of this research is to capture the document intent structure by modeling documents as a mixture of topic words and rhetorical words.
Chen, Bei, Tian, Tian, Yang, Nan, Zhang, Bo, Zhou, Ming, Zhu, Jun   +5 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation [PDF]

, 2013
Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the Document Neural Autoregressive Distribution Estimator (DocNADE) was ...
Larochelle, Hugo, Zhang, Yu-Jin, Zheng, Yin   +2 more
core  

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Topic selection for text classification using ensemble topic modeling with grouping, scoring, and modeling approach

Scientific Reports
TextNetTopics (Yousef et al. in Front Genet 13:893378, 2022. https://doi.org/10.3389/fgene.2022.893378 ) is a recently developed approach that performs text classification-based topics (a topic is a group of terms or words) extracted from a Latent ...
Daniel Voskergian, Rashid Jayousi, Malik Yousef   +2 more
doaj   +1 more source

Redundancy-aware topic modeling for patient record notes. [PDF]

PLoS ONE, 2014
The clinical notes in a given patient record contain much redundancy, in large part due to clinicians' documentation habit of copying from previous notes in the record and pasting into a new note.
Raphael Cohen, Iddo Aviram, Michael Elhadad, Noémie Elhadad   +3 more
doaj   +1 more source

A Topic Modeling Toolbox Using Belief Propagation [PDF]

, 2012
Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interests and touches on many important applications in text mining, computer vision and computational biology.
Zeng, Jia
core  

Fuzzy Approach Topic Discovery in Health and Medical Corpora

, 2017
The majority of medical documents and electronic health records (EHRs) are in text format that poses a challenge for data processing and finding relevant documents.
Gangopadhyay, Aryya, Karami, Amir, Kharrazi, Hadi, Zhou, Bin   +3 more
core   +1 more source