Results 71 to 80 of about 637,325 (290)

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS 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   +2 more
wiley   +1 more source

Semantic Variation in Online Communities of Practice [PDF]

open access: yes, 2017
We introduce a framework for quantifying semantic variation of common words in Communities of Practice and in sets of topic-related communities. We show that while some meaning shifts are shared across related communities, others are community-specific ...
Del Tredici, Marco, Fernández, Raquel
core   +1 more source

Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data [PDF]

open access: yes, 2016
Scholars often seek to understand topics discussed on Twitter using topic modelling approaches. Several coherence metrics have been proposed for evaluating the coherence of the topics generated by these approaches, including the pre-calculated ...
Fang, Anjie   +3 more
core   +1 more source

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

open access: yesFEBS 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   +5 more
wiley   +1 more source

Proceedings of the 4th International Conference on Service Life Design for Infrastructure (SLD4) [PDF]

open access: yes, 2018
SLD4 is a conference on Service Life Design for Infrastructures which is jointly organised by Delft University and Tongji University as part of the RILEM week 2018 in Delft, The Netherlands.
Rodriguez, Claudia Romero   +4 more
core  

Comment about constraints on nanometer-range modifications to gravity from low-energy neutron experiments

open access: yes, 2006
A topic of present interest is the application of experimentally observed quantum mechanical levels of ultra-cold neutrons in the earth's gravitational field for searching short-range modifications to gravity.
Alexandrov Y A   +5 more
core   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Leveraging Topic Modelling to Analyze Biomedical Research Trends from the PubMed Database Using LDA Method

open access: yesJurnal Sisfokom
Biomedical research has become an essential entity in human life. However, finding trends related to research topics in the health sector contained in the repository is a challenging matter.
Yuri Pamungkas
doaj   +1 more source

Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya.

open access: yesPLoS ONE, 2021
Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully ...
Leacky Muchene, Wende Safari
doaj   +1 more source

Multilingual Dynamic Topic Model

open access: yesProceedings - Natural Language Processing in a Deep Learning World, 2019
Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets. In this paper we present the multilingual dynamic topic model (ML-DTM), a novel topic model that combines DTM with an existing multilingual topic modeling method to capture crosslingual topics that evolve
Zosa, Elaine, Granroth-Wilding, Mark
openaire   +2 more sources

Home - About - Disclaimer - Privacy