Results 41 to 50 of about 2,490,590 (283)
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Interactive Content Based Image Retrieval using Multiuser Feedback
JOIV: International Journal on Informatics Visualization, 2017 Retrieving images from large databases becomes a difficult task. Content based image retrieval (CBIR) deals with retrieval of images based on their similarities in content (features) between the query image and the target image.
M. Premkumar, R. Sowmya
doaj +1 more source
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Query dependent pseudo-relevance feedback based on wikipedia [PDF]
, 2009 Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from an initial search are assumed to be relevant and used for PRF.
Xu, Yang +5 more
core +2 more sources
Patent query reduction using pseudo relevance feedback [PDF]
, 2011 Queries in patent prior art search, being full patent applications, are very much longer than standard ad hoc search and web search topics. Standard information retrieval (IR) techniques are not entirely effective for patent prior art search because of ...
Magdy, Walid +3 more
core +3 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Query expansion based on relevance feedback and latent semantic analysis [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important ...
Marziea Rahimi, Morteza Zahedi
doaj +1 more source
Sub-word indexing and blind relevance feedback for English, Bengali, Hindi, and Marathi IR [PDF]
, 2010 The Forum for Information Retrieval Evaluation (FIRE) provides document collections, topics, and relevance assessments for information retrieval (IR) experiments on Indian languages. Several research questions are explored in this paper: 1. how to create
Johannes Leveling +3 more
core +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
The Image Retrieval and Relevance Feedback Methods Based on Region
Journal of Algorithms & Computational Technology, 2008 Traditional image retrieval method based on global features can only extract low-level features, which are far from the semantics that human expects. So there is a huge gap between low-level features and high-level semantics.
Cen Wei-Hua, Ye Shao-Zhen
doaj +1 more source