Ensemble Boosted Tree based Mammogram image classification using Texture features and extracted smart features of Deep Neural Network

/n This work proposes a technique of breast cancer detection from mammogram images. It is a multistage process which classifies the mammogram images into benign or malignant category. During preprocessing, images of Mammographic Image Analysis Society (MIAS) database are passed through a couple of filters for noise removal, thresholding and cropping techniques to extract the region of interest, followed by augmentation process on database to enhance its size. Features from Deep Convolution Neural Network (DCNN) are merged with texture features to form final feature vector. Using transfer learning, deep features are extracted from a modified DCNN, whose training is performed on 69% of randomly selected images of database from both categories. Features of Grey Level Co-Occurrence Matrix (GLCM) and Local Binary Pattern (LBP) are merged to form texture features. Mean and variance of four parameters (contrast, correlation, homogeneity and entropy) of GLCM are computed in four angular directions, at ten distances. Ensemble Boosted Tree classifier using five-fold cross-validation mode, achieved an accuracy, sensitivity, specificity of 98.8%, 100% and 92.55% respectively on this feature vector

Early Harappan interaction between Sindh and Gujarat, as evidenced by lithic tools

The spread and development of the Indus Valley Civilisation, also known as the Harappan civilisation, one of the oldest civilisations of the world, is still an enigma. Indus Valley Civilisation was spread over modern day India and Pakistan. The civilisation has been divided into three phases, Early or Pre-Harappan, Mature or Urban Harappan and Post- or Late Harappan. The Urban phase is very well studied and understood. However, this phase is the culmination of a process that started much earlier. A lot of effort during recent years has led to new discoveries and clues regarding the interactions during the Early Harappan period between now politically divided areas. Unfortunately, this struggle to understand the spread of Early Harappan cultural traits between these distinct regions is one on-going and far from over. Explorations and subsequent excavations at the site of Juna Khatiya, situated in Kachchh district of Gujarat, India have brought to light noteworthy evidence of the Early Harappan period in terms of artefacts and burials. Other than the ubiquitous pottery, these indications include a lithic blade industry comprising of various types of blades, various types of scrapers, points and associated lithic debitage. The tools are made out of locally available raw material (mostly chalcedony). However, the discovery of a few blades of chert imported from the Rohri hills (situated about 500 km as-the-crow-flies from Gujarat) in modern Pakistan is important. Rohri chert blades are significant since they are very distinct and easily identifiable. The wide distribution of standardised Rohri chert blades is also often regarded as a testimony to the Harappan efficiency in long distance trade and craft production. The technique used in the manufacturing of these blades is known as the crested guiding ridge, a technique not observed in Gujarat before this contact between Sindh (in modern Pakistan) and Gujarat (in modern India) developed. This paper highlights the contributions of lithic artefacts to understand the Early Harappan interactions between these two politically divided but culturally united regions

Evaluation of antidiarrheal activity of ethanolic extract of Holarrhena antidysenterica seeds in rats

Aim: The present study was conducted to evaluate the antidiarrheal effect of ethanolic extract of Holarrhena antidysenterica (Family - Apocynaceae) seeds against induced diarrhea in Wistar albino rats. Materials and Methods: The extract was evaluated for castor oil and Escherichia coli induced diarrhea. Extract was given at 100, 200, 400 mg/kg body wt. orally in both protocols. Standard antidiarrheal Loperamide was used at 5 mg/kg body wt. orally in castor oil induced protocol, while standard antibiotic Gentamicin at 8 mg/kg body wt. intraperitoneally was used in E. coli induced diarrhea. In castor oil induced protocol, the percentage inhibition of defecation was calculated for each group, whereas in E. coli induced protocol, change in fecal consistency, and body weight was recorded for each individual rat for 3 days. Results: The severity of castor oil induced diarrhea was reduced significantly (p<0.05) with H. antidysenterica seeds extract at 200 and 400 mg/kg body wt. which showed equivalent effectiveness like that of Loperamide treated groups. Similarly in E. coli induced diarrhea protocol, the mean change in body weight was significantly (p<0.05) higher in positive control, whereas no significant variation was observed in negative control, Gentamicin treated and H. antidysenterica treated group at 200 mg/kg and 400 mg/kg body wt., respectively. Conclusion: The study concluded that ethanolic extract of H. antidysenterica seeds effectively controlled diarrhea and decreased the severity of clinical signs of castor oil and E. coli induced diarrhea in Wistar rats

Enhancing Stability and Resistive Memory Performance: The Role of Graphene in Hybrid Perovskite Composites

Stability and performance retention are the two basic issues associated with halide perovskite-based electronic devices, and various efforts have been adopted to resolve these. A novel and one-step approach is lacking to enhance the device performance along with stability. Herein, we have cross-linked an organic–inorganic hybrid halide perovskite (FAPbBr3) with a graphene sheet, and the composite system is applied as a functional matrix in a resistive memory device. In situ synthesis of the graphene–perovskite composite enabled strong interaction between the two-dimensional graphene sheets and three-dimensional perovskite, which not only provided a moisture barrier to the surface of the perovskite but also enhanced the charge transport. X-ray photoelectron spectroscopy manifested the robust H2O resistance of the perovskite in the presence of graphene, and substantial stability of the composite system-based device could be observed after 15 days of ambient storage. Strong photoluminescence quenching in the case of the graphene–perovskite composite system signified the additional energy transfer channel for effective charge transport. This enhanced charge transfer observed in the graphene–perovskite composite system enabled improvement in switching the speed (SET, from 480 to 190 ns) of the memory device

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223