Results 261 to 270 of about 1,195,838 (307)

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

Advanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang, Kejia Li, Ning Wang, Zhen Li, Zhiyong Zhang, Rocky S. Tuan, Yangzi Jiang   +6 more
wiley   +1 more source

Hierarchical clustering of the pre-exam anxiety levels in physically inactive and active adolescent students from 56 countries: an observational study using PISA program data. [PDF]

Front Sports Act Living
Encarnação S, Teixeira JE, Forte P, Leite LB, Sortwell A, Branquinho L, Ferraz R, Afonso P, Vaz P, Monteiro AM.   +9 more
europepmc   +1 more source

Risk factors for metabolic syndrome in the premetabolic state assessed using hierarchical clustering study in a health screening group. [PDF]

Sci Rep
Park SJ, Kim YN, Oh BK, Kang J.
europepmc   +1 more source

The novel hierarchical clustering approach using self-organizing map with optimum dimension selection. [PDF]

Health Care Sci
Tripathi K.
europepmc   +1 more source

Precision DNA methylation typing via hierarchical clustering of Nanopore current signals and attention-based neural network. [PDF]

Brief Bioinform
Dai Q, Chen H, Yi WJ, Zhao JN, Zhang W, He PA, Liu XQ, Zheng YF, Shi ZX.   +8 more
europepmc   +1 more source

Improving high throughput manufacture of laser-inscribed graphene electrodes via hierarchical clustering. [PDF]

Sci Rep
Qian H, Moreira G, Vanegas D, Tang Y, Pola C, Gomes C, McLamore E, Bliznyuk N.   +7 more
europepmc   +1 more source

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HIERARCHICAL SPHERICAL CLUSTERING

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002
This work introduces an alternative representation for large dimensional data sets. Instead of using 2D or 3D representations, data is located on the surface of a sphere. Together with this representation, a hierarchical clustering algorithm is defined to analyse and extract the structure of the data.
Vicenç Torra, Sadaaki Miyamoto
openaire   +2 more sources

Incremental Clustering for Hierarchical Clustering

2018 5th International Conference on Computational Science/ Intelligence and Applied Informatics (CSII), 2018
This paper proposes a clustering algorithm for updating clusters without reclustering when a point is inserted. We define the center and the radius of the cluster, and update clustering results of points using them. We introduce the concept of outliers and also consider the change in the number of clusters caused by data insertion.
Kakeru Narita, Teruhisa Hochin, Hiroki Nomiya   +2 more
openaire   +2 more sources

Personalized Hierarchical Clustering

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06), 2006
A hierarchical structure can provide efficient access to information contained in a collection of documents. However, such a structure is not always available, e.g. for a set of documents a user has collected over time in a single folder or the results of a web search.
Korinna Bade, Andreas Nürnberger
openaire   +1 more source