A network-analysis-based comparative study of the throughput behavior of polymer melts in barrier screw geometries

2014 ◽  
Author(s):  
M. Aigner ◽  
T. Köpplmayr ◽  
C. Kneidinger ◽  
J. Miethlinger
2009 ◽  
Vol 85 (2) ◽  
pp. 169-186 ◽  
Author(s):  
M. C. Rufino ◽  
P. Tittonell ◽  
P. Reidsma ◽  
S. López-Ridaura ◽  
H. Hengsdijk ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0221833
Author(s):  
Aleksandre Gogaladze ◽  
Niels Raes ◽  
Jacobus C. Biesmeijer ◽  
Camelia Ionescu ◽  
Ana-Bianca Pavel ◽  
...  

2019 ◽  
Vol 230 ◽  
pp. 255-265 ◽  
Author(s):  
Enrica Imbert ◽  
Luana Ladu ◽  
Almona Tani ◽  
Piergiuseppe Morone

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1553
Author(s):  
Majd Abazid ◽  
Nesma Houmani ◽  
Jerome Boudy ◽  
Bernadette Dorizzi ◽  
Jean Mariani ◽  
...  

This work addresses brain network analysis considering different clinical severity stages of cognitive dysfunction, based on resting-state electroencephalography (EEG). We use a cohort acquired in real-life clinical conditions, which contains EEG data of subjective cognitive impairment (SCI) patients, mild cognitive impairment (MCI) patients, and Alzheimer’s disease (AD) patients. We propose to exploit an epoch-based entropy measure to quantify the connectivity links in the networks. This entropy measure relies on a refined statistical modeling of EEG signals with Hidden Markov Models, which allow a better estimation of the spatiotemporal characteristics of EEG signals. We also propose to conduct a comparative study by considering three other measures largely used in the literature: phase lag index, coherence, and mutual information. We calculated such measures at different frequency bands and computed different local graph parameters considering different proportional threshold values for a binary network analysis. After applying a feature selection procedure to determine the most relevant features for classification performance with a linear Support Vector Machine algorithm, our study demonstrates the effectiveness of the statistical entropy measure for analyzing the brain network in patients with different stages of cognitive dysfunction.


This paper is totally based on a critical review of Transport Network Analysis in a Upper Assam district of State of Assam in India. It’s a comparative study between ASTC Bus Services and Traveller Services from Jorhat District (Centre) to Tinsukia, Dibrugarh, Sibsagarh, Golaghat, Lakhimpur and Dhemaji District. There have only 11 ASTC Bus Services and More than (on Average) 15 Traveler Service in every district. The ASTC Bus Services were fixed for riding every day but Traveller Services are not fixed. It is flexible on time and demand by the passengers situations. From these it is clear that the government (ASTC) bus service are very less than the traveler services in this Upper Assam. There have many factors for the shortage of Govt. service and increase of Traveller Services. For this there have face many problems by passenger like travel fare, capacity of arrangement of seats, lack of comfortness of travelling etc.


2021 ◽  
Vol 12 (1) ◽  
pp. 706-711
Author(s):  
Mansi Singh ◽  
Chandni Deb ◽  
Ashna Prasad ◽  
Naveen Renji

The following paper consists of an overall comparative study of Social Network Analysis. The comparative study provides detailed information and is carried out based on the different models approached for Social Network Analysis. Social network analysis is a method capable of monitoring the interactions in an online environment.SNA can be used to reveal important information about the sentiments of different actors, such as the general activity and the active groups.


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