Nevirapine-induced Stevens-Johnson syndrome from a tertiary care hospital in Central India

A 42 year old man, a known case of AIDS receiving antiretroviral therapy – stavudine, lamivudine, and nevirapine since 4 weeks, was admitted with erythematous rash, with blisters, and abnormal liver function test. A diagnosis of Steven-Johnson syndrome was made excluding other opportunistic infection and differential diagnosis. Nevirapine was discontinued until the patient recovered. After recovery patient was started with stavudine, lamivudine, and efavirenz treatment without re-challenge with nevirapine

A case of Stevens-Johnson syndrome due to rifampicin

A 25 year old female known case of category II pulmonary Tuberculosis was on anti-coch’s treatment in the FDC of rifampicin, isoniazid, pyrazinamide, ethambutol and Streptomycin. Fifteen days after the commencement of Cat II anti TB treatment she developed diffuse erythematous rash on face, trunk and both extremities which turned into blisters. There were ulcers on oral and genital cavity. A diagnosis of Stevens Johnson’s syndrome was made. The patient had a history of cat I pulmonary TB and treated for 8 months and at the end of 8th month she was sputum smear negative. Four months later she had a relapse of sputum smear positive for pulmonary TB. She responded to the stoppage of drugs and oral/inj. Corticosteroids, antihistaminics and antibiotics

Secure Dissemination and Protection of Raster Data using Merkle Hash Tree based Cryptowatermarking

Due to rapid development in the Internet and other communication technologies, it becomes quite easy to copy and distribute multiple illegal copies of high value and sensitive data. Raster data is one of the high voluminous data and it requires huge efforts to sense and generate this data. Therefore, ownership protection as well as its integrity become one of the key problems in spatial information service. There are lot many schemes are available for watermarking and encryption individually, but if both are combined gives manifold advantages. This paper presents a cryptowatermarking scheme by combining watermarking and encryption to protect the copyright of raster data as well as to provide security dissemination level. We have proposed a scheme by employing double transposition, LSB substitution watermarking and Merkle Hash Tree for encryption and watermarking. It has been observed that the proposed scheme is not only robust against encryption attacks, but also has transparency, strongness, large data hiding capacity and correct extraction of watermark

Deep Learning based Facial Emotion Recognition

Human Facial expression is the mirror of human emotions playing very significant role in nonverbal communication. In many applications like human machine interface, medical diagnosis, AI based games, market research etc. needs facial expression recognition. Although it is very easy task for humans, its bit challenging for machines to detect and recognize correct emotions from series of human facial expressions. Since decade, many researchers have tried different image processing, machine learning and deep learning-based approaches to correctly identify human emotions. Some of them could able to identify emotions but with more complexity. WE have proposed CNN model with 4 convolution layer and 2 FC layers which is giving good accuracy over the existing models with less complexity. It is performing better for all classes except fear and disgust

Automated Non-invasive Diagnosis of Melanoma Skin Cancer using Dermo-scopic Images

Melanoma skin cancer is one of the deadliest cancers today, the rate of which is rising exponentially. If not detected and treated early, it will most likely spread to other parts of the body. To properly detect melanoma, a skin biopsy is required. This is an invasive technique which is why the need for a diagnosis system that can eradicate the skin biopsy method arises. It is observed that the proposed method is successfully detecting and correctly classifying the malignant and non-malignant skin cancer. Finally, a neural network is used to classify benign and malignant images from the extracted features. Keywords: Melanoma, non-invasive, skin lesion, neural network

Automated Non-invasive Skin Cancer Detection using Dermoscopic Images

Skin Cancer is resulting from the growth of the harmful tumour of the melanocytes the rates are rising to another level. The medical business is advancing with the innovation of recent technologies; newer tending technology and treatment procedures are being developed. The early detection of skin cancer can help the chance of increase in its growth in other parts of body. In recent years, medical practitioners tend to use non invasive Computer aided system to detect the skin cancers in early phase of its spreading instead of relying on traditional skin biopsy methods. Convolution neural network model is proposed and used for early detection of the cancer, and it type. The proposed model could classify the dermoscopic images into correct type with accuracy 91.2%

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Not AvailableThe role of microRNA in gene regulation during developmental biology has been well depicted in several organisms. The present study was performed to investigate miRNAs role in the liver tissues during carbohydrate metabolism and their targets in the farmed carp rohu, Labeo rohita, which is economically important species in aquaculture. Using Illumina-HiSeq technology, a total of 22,612,316; 44,316,046 and 13,338,434 clean reads were obtained from three small-RNA libraries. We have identified 138 conserved and 161 novel miRNAs and studies revealed that miR-22, miR-122, miR-365, miR-200, and miR-146 are involved in carbohydrate metabolism. Further analysis depicted mature miRNA and their predicted target sites in genes that were involved in developmental biology, cellular activities, transportation, etc. This is the first report of the presence of miRNAs in liver tissue of rohu and their comparative profile linked with metabolism serves as a vital resource as a biomarker.Not Availabl