Plant exosomes: nano conveyors of pathogen resistance.

The entry of a pathogen into a plant host is a complex process involving multiple steps. Survival techniques from the pathogen and the defense mechanisms of the plant lead to a plethora of molecular interactions during the operation. Plant extracellular vesicles, especially the exosomes in the size range of 50-150 nm play a crucial role in plant defense.

Automated EEG-based screening of depression using deep convolutional neural network.

In recent years, advanced neurocomputing and machine learning techniques have been used for Electroencephalogram (EEG)-based diagnosis of various neurological disorders. In this paper, a novel computer model is presented for EEG-based screening of depression using a deep neural network machine learning approach, known as Convolutional Neural Network (CNN). The proposed technique does not require a semi-manually-selected set of features to be fed into a classifier for classification.

Periodontal Therapy with 0.25%Lemongrass Oil Mouthwash in Reducing Risk of Cardiovascular Diseases: A 3-Arm Prospective Parallel Experimental Study.

Background: Periodontal disease is associated with cardiovascular diseases because of its role in host immune-inflammatory response. Serum lipids are the commonest risk factors between periodontal disease and cardiovascular diseases.

Materials And Method: A double blinded randomised clinical trial was carried out among 45 subjects with generalised severe periodontitis.

EEG signal analysis: a survey.

The EEG (Electroencephalogram) signal indicates the electrical activity of the brain. They are highly random in nature and may contain useful information about the brain state. However, it is very difficult to get useful information from these signals directly in the time domain just by observing them.