DC Electrical Resistivity Studies in YBCO/BZT Composites

Bulk YBCO sample is prepared using chemical route method. BZT is used as composite because its properties can be utilized for pinning effect that enhances critical current density. The sample is characterized by the ρ vs. T measurement performed by FOUR PROBE METHOD. Data are collected by computer controlled programming and analyzed for different behaviors. SEM is done to study the grain morphology. It is found that by increase in the weight percentage of BZT in the sample, the transition temperature decreases and from the SEM images, the grains become elongated in sizes. This elongation is advantageous for pinning purpos

Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network

Worldwide, oral cancer is the sixth most common type of cancer. India is in 2nd position, with the highest number of oral cancer patients. To the population of oral cancer patients, India contributes to almost one-third of the total count. Among several types of oral cancer, the most common and dominant one is oral squamous cell carcinoma (OSCC). The major reason for oral cancer is tobacco consumption, excessive alcohol consumption, unhygienic mouth condition, betel quid eating, viral infection (namely human papillomavirus), etc. The early detection of oral cancer type OSCC, in its preliminary stage, gives more chances for better treatment and proper therapy. In this paper, author proposes a convolutional neural network model, for the automatic and early detection of OSCC, and for experimental purposes, histopathological oral cancer images are considered. The proposed model is compared and analyzed with state-of-the-art deep learning models like VGG16, VGG19, Alexnet, ResNet50, ResNet101, Mobile Net and Inception Net. The proposed model achieved a cross-validation accuracy of 97.82%, which indicates the suitability of the proposed approach for the automatic classification of oral cancer data

<b style="">Traditional medicinal practices among the tribal people of Malkangiri district, Orissa, India</b>

430-435An ethnobotanical survey of some tribal areas revealed that 34 plant species are used by tribal people of Malkangiri district, Orissa. The use of traditional medicine was observed to be wide-spread and prevalent over modern medicine in the study area. In present paper plants for various diseases have been discussed along with their uses, botanical names with family, local names, plant parts used and medicinal preparation along with dosage and mode of administratio