STEVENS-JOHNSON SYNDROME DUE TO ADVERSE DRUG REACTIONS: A CASE SERIES

Stevens-Johnson syndrome (SJS) is a rare, serious disorder affecting skin and mucous membranes. It is one of the few serious dermatological adverse effects of drugs encountered in clinical practice which is characterized by blisters and rash on skin, mucous membranes, swelling over face and lips, and hyperpigmentation. After that, the outer layer of affected skin becomes dead, sheds, and starts to heal after several days of inflicting injury. Here, we present a case series of ofloxacin and chloroquine induced SJS after the consent given by patients. First case is a 62 years old male received Ofloxacin and second patient is a 40 years old male received chloroquine. Both patients experienced a severe skin reaction which was diagnosed as SJS. The above-mentioned medications will be implicated in cases of SJS. We should prescribe these medications with extreme caution

Factors Influencing Adoption of Climate-Friendly Oxo-Biodegradable Jan Ausadhi Suvidha Sanitary Napkins among Women in India

With the aim of making and providing generic drugs available at a cheap cost to everyone across the country, "Pradhan Mantri Bhartiya Jan Ausadhi Pariyojana (PMBJP) was launched and under this PMBJP (can be translated in English as Prime Minister Indian Mass Medicine Scheme) scheme, Jan Ausadhi Suvidha Sanitary Napkins were launched to provide biodegradable sanitary napkins at less price for women of the country. Menstruation is a part of women’s life and menstrual hygiene product is the basic need for women to face this menstruation period. There are many health issues that were faced by women during menstruation and the sanitary napkins used during menstruation causes different pollution. For the purpose of safeguarding the health, financial affordability of Indian women this suvidha sanitary napkin was launched. Earlier in rural areas by abandoning non-biodegradable sanitary napkin a lot of pollution was caused but now it is under check. In order to assess the “Factors influencing adoption of climate-friendly Oxo- biodegradable Jan Ausadhi Suvidha Sanitary Napkins among women in India” Muzaffarpur district of Bihar was selected as locale of research and two blocks Muraul and Sakra have been selected for the study, as these blocks found with established structures of Jan Ausadhi Kendras. From each blocks 40 respondents were selected and all these selected respondents known to this scheme or having experience in using Jan Ausadhi Suvidha Sanitary napkins. So, total number of respondents were 80. Statistical tool such as Binary logistic analysis revealed that Profession and Annual income were significant at 5 percent level and variables like AWARE PMBJP and Marital status were significant at 10 percent level and all significant factors determine the adoption of climate-friendly bio-degradable Jan Ausadhi Suvidha Sanitary Napkins. The result of the study of the impact on women will surely be used to enhance the health status of women and also compliment Swachh Bharat Abhiyan

Volumetric and Dosimetric Inconstancy of Parotid Glands and Tumor in Head and Neck Cancer during IMRT

The treatment of head and neck cancer using external beam radiotherapy is commonly done with three field techniques, which involves bilateral parallel opposed beams and one anterior lower neck field. Conventional treatment is based on 2D fluoroscopic images where there is no facility to shield the organs at risk like parotid. The most common side effect of such conventional radiotherapy treatment is xerostomia. The incidence of radiotherapy-related xerostomia varies depending on the specific radiotherapy technique used and the dose delivered to the parotid glands. Dosimetric variation in the tumor and normal tissue including parotid glands due to volume shrinkage during intensity modulated radiotherapy is the leading challenges in radiotherapy delivery in head and neck malignancy in terms of acute and late radiation related toxicities. Therefore if the planning target volume and normal tissue anatomy are changing with time during intensity modulated radiotherapy, it would be beneficial and acceptable to adapt our treatment delivery to minimize normal tissue toxicities where it really matters

Synthesis and X-ray crystallographic investigation of N-(β-D-glycosyl)butanamides derived from GlcNAc and chitobiose as analogs of the conserved chitobiosylasparagine linkage of N-glycoproteins

International audienc

Low-temperature neutron diffraction structures of N-glycoprotein linkage models and analogues: structure refinement and trifurcated hydrogen bonds

International audienc

Towards Continuous Scientific Data Analysis and Hypothesis Evolution

Scientific data is continuously generated throughout the world. However, analyses of these data are typically performed exactly once and on a small fragment of recently generated data. Ideally, data analysis would be a continuous process that uses all the data available at the time, and would be automatically re-run and updated when new data appears. We present a framework for automated discovery from data repositories that tests user-provided hypotheses using expert-grade data analysis strategies, and reassesses hypotheses when more data becomes available. Novel contributions of this approach include a framework to trigger new analyses appropriate for the available data through lines of inquiry that support progressive hypothesis evolution, and a representation of hypothesis revisions with provenance records that can be used to inspect the results. We implemented our approach in the DISK framework, and evaluated it using two scenarios from cancer multi-omics: 1) data for new patients becomes available over time, 2) new types of data for the same patients are released. We show that in all scenarios DISK updates the confidence on the original hypotheses as it automatically analyzes new data

Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning

Forest inventory parameters play an important role in understanding various biophysical processes of forest ecosystems. The present study aims at integrating Terrestrial Laser Scanner (TLS) and ALOS PALSAR L-band Synthetic Aperture Radar (SAR) data to assess Aboveground Biomass (AGB) in the Barkot Forest Range, Uttarakhand, India. The integration was performed to overcome the AGB saturation issue in ALOS PALSAR L-band SAR data for the high biomass density forest of the study area using 13 plots. Various parameters, namely, Gray-Level Co-Occurrence Matrix (GLCM) texture measures, Yamaguchi decomposition components, polarimetric parameters, and backscatter values of HH and HV band intensity, were derived from the ALOS SAR data. However, TLS was used to obtain the diameter at breast height (dbh) and tree height for the sample plots. A total of 23 parameters was retrieved using TLS and SAR data for integration with the LiDAR footprint. The integration was performed using Random Forest (RF) and Artificial Neural Network (ANN). The statistical measures for RF were found to be promising compared with ANN for AGB estimation. The R2 value obtained for the RF was 0.94, with an RMSE of 59.72 ton ha−1 for the predicted biomass value. The RMSE% was 15.92, while the RMSECV was 0.15. The R2 value for ANN was 0.77, with an RMSE of 98.46 ton ha−1. The RMSE% was 26.0, while the RMSECV was 0.26. RF performed better in estimating the biomass, which ranged from 122.46 to 581.89 ton ha−1, while uncertainty ranged from 15.75 to 85.14 ton ha−1. The integration of SAR and LiDAR data using machine learning shows great potential in overcoming AGB saturation of SAR data