Severe Acute Respiratory Syndrome Corona Virus-2 infection is a universal threat in recent days, hence early diagnosis and treatment play a pivotal role in controlling the spread thereby preventing them to become endemic. A newer promising approach by Nanotechnology plays an essential role in targeting the specific pathogens for therapeutic and diagnosis of Viral infection. Certain Nano platforms like Microneedle array delivered Virus S1 subunit vaccines, spike protein nanoparticles, Lumazine synthase Nanoparticles, Silver Nanoparticles, Self-Assembling Protein Nanoparticles against Viral therapy are the upcoming applications as a therapeutic approach. Nucleic acid amplification techniques and Surface-enhanced Raman Spectroscopy shows a high specificity with the immunoassay strategy. In recent days, Colloidal Gold – Nanoparticles and silicon nanoparticles have been widely used as a point of care for quick detection of IgG and IgM antibodies obtained from the virus as a diagnostic approach. Additionally, the Nanoparticles serve as a significant improvement in Personal Protective Equipment and protect against exposure to the virus. As a result of repurposing as well as for the development of the drug, apparently, Nanoparticles themselves and their concomitant therapy or their carriers will be advantageous in making a therapeutic and diagnostic approach against Severe Acute Respiratory Syndrome Corona Virus-2 infections.
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) possess high mortality and morbidity across the globe. In India, BBV-152 (CovaxinTM) and ChAdOx1-nCOV (CovishieldTM) vaccines are now being used to limit the spread of SARS-CoV-2 Infection. A Cross sectional observational study was designed to analyze the Antibody immune response to SARS CoV-2 vaccine quantitatively among Health Care Workers and it was correlated with age, sex, other comorbidities and blood group. A total of 160 fully vaccinated HCWs, the Anti-SARS-CoV-2 level was estimated by using Chemiluminescence Immuno Assay. A protective immune response following the complete course of the SARS-CoV-2 vaccine should be ≥ 1.00 S/C. A total of 160 HCWs (82 Male, 78 Female) who had completed both the doses of Covishield (n=128) and Covaxin (n=32). Both the vaccine recipient had mild to moderate symptoms and none of the HCWs had severe adverse events after administration of vaccine. Out of which, 143 (89.3%) HCWs showed seropositive and 17 (10.7%) HCWs showed seronegative. There was no notable variation in sex and other co-morbidities. Significantly, reduced antibody titers towards SARS-CoV-2 vaccine was noted among individuals aged ≤ 60 years and O+ve Blood group. Both the vaccines obtained successful immune response after their complete course, even though there was a significantly higher seropositivity rate in Covishield in spite of Covaxin recipients. Further, genomic correlative advanced studies can conclude the significance of non-responsiveness to SARS-CoV-2 vaccines among the HCWs.
In this article, an Ultra-Wide Band (UWB) antenna for the pipeline crack detection process is proposed. A UWB antenna has been designed with the dimension of 32 x 32 mm2 and it resonates from 3 GHz to 10.8 GHz. The designed antenna produces a peak gain of 4.36 dB. A pair of UWB antennas are employed in various pipeline scenarios and the received pulse from antenna 1 to antenna 2 is used for further processing and detection of pipeline cracks. Through the suitable machine learning data classifier algorithm the dimension of the crack has been detected. The various features such as mean, standard deviation (σ), mean average deviation (mad), skewness, and kurtosis have been extracted from the received pulse. Then the three different machine learning algorithms namely Support Vector Machine (SVM), k-Nearest Neighbor (kNN), and Naïve Bayse (NB) were trained and tested using extracted features, and the dimension of the void has been identified. Out of these three machine learning algorithms, kNN provides better accuracy and precision. It predicts the small cracks with 100% accuracy having a dimension as small as 1 mm width.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.