Modelling Rainfall Prediction Using Data Mining Method - A Bayesian Approach

Weather forecasting has been one of the most technically difficult problems around the globe. Weather data is meteorological data. It can be used for weather prediction. Weather data has 36 attributes but only 7 attributes are most important to rainfall prediction. Data is pre-processed to use it in this Bayesian approach. It is the data mining prediction model for rainfall prediction. The model is trained using the training data set and has been tested for accuracy on test data. The meteorological centres use high computing and supercomputing power to run weather prediction model. To address the problem of compute intensive rainfall prediction model, this paper studies data intensive model using data mining technique. This model works with efficient accuracy and uses moderate amount of compute resources for rainfall prediction. Bayesian approach is used for rainfall prediction. It works well with good accuracy

Generation of transgenic mesenchymal stem cells expressing green fluorescent protein as reporter gene using no viral vector in caprine

502-509Mesenchymal stromal cells (MSC) are multipotent cells that can be derived from many different organs and tissues. While there are many ways to label and track cells each with strengths and weakness, the green fluorescent protein (GFP) is a reporter gene commonly employed. In the present study, caprine MSC were collected from bone marrow and cells were characterised with MSC specific markers. Passage 10 (P10) MSC cells were transfected using plasmid vector containing GFP as reporter gene with different concentrations of DNA and lipofectamine. Six different concentrations of DNA and lipofectamine as 1 µg DNA: 2 µL lipofectamine, 1 µg DNA: 2.5 µL lipofectamine, 1.2 µg DNA: 2.2 µL lipofectamine, 1.2 µg DNA: 2.5 µL lipofectamine, 1.5 µg DNA: 2.5 µL lipofectamine, 1.5 µg DNA: 3 µL lipofectamine were used. After 24 h and 48 h of transfection, caprine MSC were observed under florescent microscope. Highest transfection rate indicating green flourecscent MSC were found when the cells were transfected with 1.2 µg DNA: 2.2 µL lipofectamine and 1.5 µg DNA: 2.5 µL lipofectamine than other combinations. These cells have been propagated beyond 4th passage maintaining GFP expression. The results indicated that stable GFP positive MSC cells can be generated using the above protocol. These cells are being used for transplantation studies

A single intranasal administration of AdCOVID protects against SARS-CoV-2 infection in the upper and lower respiratory tracts

The coronavirus disease 2019 (COVID-19) pandemic has illustrated the critical need for effective prophylactic vaccination to prevent the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Intranasal vaccination is an attractive approach for preventing COVID-19 as the nasal mucosa is the site of initial SARS-CoV-2 entry and viral replication prior to aspiration into the lungs. We previously demonstrated that a single intranasal administration of a candidate adenovirus type 5-vectored vaccine encoding the receptor-binding domain of the SARS-CoV-2 spike protein (AdCOVID) induced robust immunity in both the airway mucosa and periphery, and completely protected K18-hACE2 mice from lethal SARS-CoV-2 challenge. Here we show that a single intranasal administration of AdCOVID limits viral replication in the nasal cavity of K18-hACE2 mice. AdCOVID also induces sterilizing immunity in the lungs of mice as reflected by the absence of infectious virus. Finally, AdCOVID prevents SARS-CoV-2 induced pathological damage in the lungs of mice. These data show that AdCOVID not only limits viral replication in the respiratory tract, but it also prevents virus-induced inflammation and immunopathology following SARS-CoV-2 infection