The AutoI approach for the orchestration of autonomic networks

2010 ◽  
Vol 66 (3-4) ◽  
pp. 243-255 ◽  
Author(s):  
Daniel Fernandes Macedo ◽  
Zeinab Movahedi ◽  
Javier Rubio-Loyola ◽  
Antonio Astorga ◽  
Giannis Koumoutsos ◽  
...  
Keyword(s):  
Autonomic Networks

scholarly journals Hippocampal morphometry in sudden and unexpected death in epilepsy

Neurology ◽  
2019 ◽  
Vol 93 (8) ◽  
pp. e804-e814 ◽  
Author(s):  
Alyma Somani ◽  
Anita-Beatrix Zborovschi ◽  
Yan Liu ◽  
Smriti Patodia ◽  
Zuzanna Michalak ◽  
...  
Keyword(s):  
Granule Cell ◽  
Hippocampal Sclerosis ◽  
Qualitative Evaluation ◽  
Granule Cell Layer ◽  
Parahippocampal Gyrus ◽  
Unexpected Death ◽  
Cell Dispersion ◽  
Autonomic Networks ◽  
Left And Right ◽  
The Right

ObjectiveTo determine hippocampal morphometric measures, including granule cell dispersion and features of malrotation, as potential biomarkers for sudden unexpected death in epilepsy (SUDEP) from an archival postmortem series.MethodsIn a retrospective study of 187 archival postmortems from 3 groups, SUDEP (68; 14 with hippocampal sclerosis [HS]), non-SUDEP epilepsy controls (EP-C = 66; 25 with HS), and nonepilepsy controls (NEC = 53), Nissl/hematoxylin & eosin–stained sections from left and right hippocampus from 5 coronal levels were digitized. Image analysis was carried out for granule cell layer (GCL) thickness and measurements of hippocampal dimensions (HD) for shape (width [HD1], height [HD2]) and medial hippocampal positioning in relation to the parahippocampal gyrus (PHG) length (HD3). A qualitative evaluation of hippocampal malrotational (HMAL) features, dentate gyrus invaginations (DGI), and subicular/CA1 folds (SCF) was also made.ResultsGCL thickness was increased in HS more than those without (p < 0.001). In non-HS cases, increased GCL thickness was noted in EP-C compared to NEC (p < 0.05) but not between SUDEP and NEC. There was no difference in the frequency of DGI, SCF, measurements of hippocampal shape (HD1, HD2, or ratio), or medial positioning among SUDEP, EP-C, and NEC groups, when factoring in HS, coronal level, and age at death. Comparison between left and right sides within cases showed greater PHG lengths (HD3) on the right side in the SUDEP group only (p = 0.018).ConclusionsNo hippocampal morphometric features were identified in support of either excessive granule cell dispersion or features of HMAL as definitive biomarkers for SUDEP. Asymmetries in PHG measurements in SUDEP warrant further investigation as they may indicate abnormal central autonomic networks.

Ontology-Based Network Management for Autonomic Communications

2010 ◽  
pp. 9-26
Author(s):  
Dimitris Kanelopoulos
Keyword(s):  
Network Management ◽  
State Of The Art ◽  
Intelligent Network ◽  
Data Correlation ◽  
Combine Data ◽  
Communication Services ◽  
Commercial Networks ◽  
Autonomic Networks ◽  
Core Components ◽  
Autonomic Communications

This chapter is focused on state-of-the art issues in the area of ontology-based autonomic communications and it considers how ontologies can be useful for network management as a way to achieve semantic interoperability among different network management models. In addition, it presents the autonomic communications paradigm as a possible solution to the ever-growing complexity of commercial networks due to the increasing complexity of individual network elements, the need for intelligent network and communication services and the heterogeneity of connected equipment. Finally, the chapter analyses how ontologies can be used to combine data correlation and inference technologies in autonomic networks. Such technologies are used as core components to build autonomic networks.

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