Results 71 to 80 of about 1,215,846 (318)

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS 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

Clustering of Polysemic Words [PDF]

open access: yes, 2007
Cicurel L, Bloehdorn S, Cimiano P. Clustering of Polysemic Words. In: Decker R, Lenz H-J, eds. Advances in Data Analysis: Proceedings of the 30th Annual Conference of the German Classification Society (GfKl). Studies in Classification, Data Analysis, and
Lenz, Hans-Joachim   +4 more
core   +2 more sources

A Benchmark Suite for Clustering Algorithms [PDF]

open access: yes, 2022
A Framework for Benchmarking Clustering Algorithms Benchmark Suite Version 1.0.1 How to Cite: Please cite the following paper which describes the overall benchmarking methodology: Gagolewski M., A Framework for Benchmarking Clustering Algorithms, 2022,
Gagolewski, Marek
core   +1 more source

The process of clustering in Russia: dynamics and regional features of development

open access: yesЖурнал Белорусского государственного университета: География, геология, 2017
This article analyzes the characteristics of the formation of clusters and cluster policy in Russia’s regions. Improving the efficiency of the organization of the economic territory of the space – is the most important problem of the modern development ...
Tatiana F. Krejdenko   +2 more
doaj  

Profiling the Spatial Structure of London: From Individual Tweets to Aggregated Functional Zones

open access: yesISPRS International Journal of Geo-Information, 2018
Knowledge discovery about people and cities from emerging location data has been an active research field but is still relatively unexplored. In recent years, a considerable amount of work has been developed around the use of social media data, most of ...
Chen Zhong   +3 more
doaj   +1 more source

Deep Features and Clustering Based Keyframes Selection with Security

open access: yesRatio Mathematica, 2023
The digital world is developing more quickly than ever. Multimedia processing and distribution, however become vulnerable issues due to the enormous quantity and significance of vital information.
Prachi Chauhan   +2 more
doaj   +1 more source

On the Elusiveness of Clusters

open access: yesIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012
Rooted phylogenetic networks are often used to represent conflicting phylogenetic signals. Given a set of clusters, a network is said to represent these clusters in the "softwired" sense if, for each cluster in the input set, at least one tree embedded in the network contains that cluster.
S.M. Kelk (Steven)   +2 more
openaire   +4 more sources

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Multi-agent Behaviour Segmentation via Spectral Clustering [PDF]

open access: yes, 2007
18.02.14 KB. OK to add accepted version to spiral, AAAI permits.We examine the application of spectral clustering for breaking up the behaviour of a multi-agent system in space and time into smaller, independent elements.
Takács, B, Demiris, Y, Butler, S
core  

Clustering analysis of railway driving missions with niching [PDF]

open access: yes, 2012
A wide number of applications requires classifying or grouping data into a set of categories or clusters. Most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering.
Jaafar, Amine   +2 more
core   +1 more source

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