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Blood–brain barrier breakdown and repair by Src after thrombin‐induced injury
TLDR
Thrombin mediates the life‐threatening cerebral edema that occurs after intracerebral hemorrhage and the mechanisms of thrombin‐induced injury to the blood-brain barrier are examined. Expand
Efficient and Enhanced Load Balancing Algorithms in Cloud Computing
TLDR
This work proposes a method that allocate resources based on the load of Virtual Machines (VMs) in a cloud computing environment, where a load predictor is used to predict the load on each node and according to the this, it allocate the resources. Expand
Psychiatric morbidity among adult patients in a semi-urban primary care setting in Malaysia
TLDR
The findings of this paper are broadly similar to the findings of studies done in other countries and are a useful guide to the probable prevalence of psychiatric morbidity in primary care in other similar settings in Malaysia. Expand
Dental unit waterline management: historical perspectives and current trends.
TLDR
The present study illustrates the conditions in waterline tubing that favor development of biofilms, and discusses the level of risk that such microbial growth poses for both dental professionals and their patients. Expand
Comparing the Behavior of Oversampling and Undersampling Approach of Class Imbalance Learning by Combining Class Imbalance Problem with Noise
TLDR
This paper compares the oversampling and undersampling approaches of class imbalance learning in noisy environment and tries to find out which is the better approach in such case. Expand
Markovian Queuing Model for Dynamic Spectrum Allocation in Centralized Architecture for Cognitive Radios
TLDR
A CR architecture followed by its equivalent mathematical model is proposed, which considers a centralized network where the master/controller of this ad-hoc network coordinates for spectrum allocation with the surrounding CR in the network. Expand
Two-stage Interval Time Minimization Transportation Problem with Capacity Constraints
TLDR
A polynomial time iterative algorithm is proposed which generates a sequence of pairs of Stage-I and Stage-II times which is considered as the global optimal solution for two-stage interval time minimization transportation problem with capacity constraints on each source-destination link. Expand
Mammogram Image Nucleus Segmentation and Classification using Convolution Neural Network Classifier
TLDR
This dissertation carries the masses problem and deals with its shape and texture feature for classification and uses CNN (Convolution neural networks) to evaluate the performance through defining accuracy, precision, and recall and also compare the results with existing logistic regression and neural network classification technique. Expand
COMPARISON OF ENERGY EFFICIENT DATA TRANSMISSION APPROACHES FOR FLAT WIRELESS SENSOR NETWORKS
In this paper we have analyzed energy efficient neighbour selection algorithms for routing in wireless sensor networks. Since energy saving or consumption is an important aspect of wireless sensorExpand
Epidemiology of COVID-19 and effect of public health interventions, Chennai, India, March - October 2020
TLDR
The combination of public health strategies controlled the COVID-19 epidemic in a large, densely populated city in India and is recommend continuing the interventions to prevent resurgence, even as vaccination is being rolled out. Expand
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