Evidence-based anti-viral and immunomodulatory potential of Black cumin (Nigella sativaL.) in COVID-19

Currently, the whole world is facing a life-threatening novel coronavirus 2019 (COVID-19) pandemic. Natural products are well-known for their potential role against viral disease, and some anti-viral agents have been developed to combat these diseases. Herein, the authors investigated the possible effects of this Holy plant Nigella sativaL. (NS), against coronavirus, using evidence-based and mechanistic approaches to conclude the immune-boosting and alleviation of respiratory systemeffects of NS. The pharmacological studies established a prominent role in treating various respiratory, immune systems, cardiovascular, skin, and gastrointestinal disorders. Literature supported the significant anti-viral role and showed an inhibitory role for NS against MHV-A59 CoV (mouse-hepatitis virus–A59) infected Hela, i.e., HeLaCEACAM1a (HeLa-epithelial carcinoembryonic antigen-related cell adhesion molecule 1a) cell. NS is a safe herbal product or dietary supplement and could be an effective and affordable community adjuvant treatment for coronavirus in the current scenario.

HPV VACCINATION AWARENESS AND ITS RELATION TO ORAL AND OROPHARYNGEAL CANCER: A SINGLE CENTRE STUDY

Background - The recently developed HPV vaccine is highly effective against the HPV virus. It has met widespread acceptance amongst healthcare and public health professionals. However, there are still social barriers to vaccination that hampers the effects of preventing the disease caused by HPV. The primary goal of this study was to evaluate the survey responses regarding the knowledge, awareness, and vaccination status among dental professionals and students in a local population and to emphasize the relationship between HPV and the increasing incidence of oral and oropharyngeal cancers in the current scenario. Methodology - This study was a prospective analysis of a questionnaire collected from the dentist and dental students at The Faculty of Dental Sciences, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamilnadu, India; regarding their knowledge, awareness, and Human Papilloma Virus (HPV) - vaccination status.Results - 96% of the participants were aware of the HPV and only 4% were unaware of the virus. About 18.7 % of the participants were unaware of the modes of transmission of HPV. Only 66.6 % knew that HPV - 16 and 18 were responsible for Oral and cervical cancers. Conclusion - Understanding the barriers and hesitancy to vaccination is the crucial step to designing strategies that may aid in enhancing the vaccination

Stories: A Tool to Rejuvenate the Culture of Generation Z and Generation Alpha

Being the first social generation to have grown up with the internet and portable digital technology from a young age, Generation Z and Generation Alpha are seldom aware of affections, devotions, traditions, relationships, and cultures that form the basis for a convivial and serene life. They run in this digital world to cope with the current scenario, failing to take in love and affection. The literature reviews furnish the details that Generation Z and Alpha are bestowed with abundant knowledge and information by technology, but they fail to look at the essential parts of humanity. Hence, this paper aims to use stories as a tool to bring back the beam of happiness in the lives of future humans. The surveys that have been taken show that stories are loved by people of all ages, and so it is easy to educate and revive morals, mannerisms, traditional ideas, and cultures through them. Therefore, it is the need of the hour to rejuvenate these groups through stories to lead a peaceful life, which is the ultimate aim of birth. Stories also provide pleasure and activate the mind to think in the right way since the listener is out of the box.

Utilization of Electric Vehicles for Vehicle-to-Grid Services: Progress and Perspectives

With every passing second, we witness the effect of the global environmental impact of fossil fuels and carbon emissions, to which nations across the globe respond by coming up with ambitious goals to become carbon-free and energy-efficient. At the same time, electric vehicles (EVs) are developed as a possible solution to reach this ambitious goal of making a cleaner environment and facilitating smarter transportation modes. This excellent idea of shifting towards an entirely EV-based mobility industry and economy results in a range of issues that need to be addressed. The issues range from ramping up the electricity generation for the projected increase in consumption to developing an infrastructure that is large enough to support the higher demand for electricity that arises due to the market penetration of EVs. Vehicle to grid (V2G) is a concept that is largely in a testing phase in the current scenario. However, it appears to offer a solution to the issues created by a mobility sector that the constantly growing EV fleet will dominate. Furthermore, the integration of EVs with the grid seems to offer various cost-wise and environment-wise benefits while assisting the grid by tapping into the idle energy of parked EVs during peak hours. This review aims to present some of the possible ancillary service potentials of such a system while also discussing the potential challenges, impacts, and future market penetration capabilities of V2G technology.

Design of Optimal Deep Learning-Based Pancreatic Tumor and Nontumor Classification Model Using Computed Tomography Scans

Pancreatic tumor is a lethal kind of tumor and its prediction is really poor in the current scenario. Automated pancreatic tumor classification using computer-aided diagnosis (CAD) model is necessary to track, predict, and classify the existence of pancreatic tumors. Artificial intelligence (AI) can offer extensive diagnostic expertise and accurate interventional image interpretation. With this motivation, this study designs an optimal deep learning based pancreatic tumor and nontumor classification (ODL-PTNTC) model using CT images. The goal of the ODL-PTNTC technique is to detect and classify the existence of pancreatic tumors and nontumor. The proposed ODL-PTNTC technique includes adaptive window filtering (AWF) technique to remove noise existing in it. In addition, sailfish optimizer based Kapur’s Thresholding (SFO-KT) technique is employed for image segmentation process. Moreover, feature extraction using Capsule Network (CapsNet) is derived to generate a set of feature vectors. Furthermore, Political Optimizer (PO) with Cascade Forward Neural Network (CFNN) is employed for classification purposes. In order to validate the enhanced performance of the ODL-PTNTC technique, a series of simulations take place and the results are investigated under several aspects. A comprehensive comparative results analysis stated the promising performance of the ODL-PTNTC technique over the recent approaches.

Climate Change Scenarios and the Dragon Fruit Climatic Zoning in Brazil

BACKGROUND:The presente paper aims to compute climatological zones apt for the cultivation of pitaya based on trends in the occurrence of climate change events from the IPCC in Brazil. We used temperature and precipitation data from 4,942 cities collected on the NASA / POWER platform from 1990 to 2020 to elaborate on the current scenario. The climate change scenarios were obtained using the CHELSA platform (Climatologies at high resolution for the earth's land surface areas) and corresponded to the periods 2041-2060 and 2061-2080 associated with four IPCC climate change scenarios. The spatialization and interpolation of data occurred according to the aptitude classes designed to meet the thermal and water needs of the crop. RESULTS: Forecasts of increase in temperature indices and reduction in accumulated rainfall were found in all Brazil, but with greater impact in the North and Northeast regions, which had the greatest reduction in areas at low risk for the cultivation of pitaya. In the South and Southeast regions, a large part of the areas remained suitable for the production of this fruit until 2080. CONCLUSION:The results suggest that climate change does not benefit the cultivation of pitaya in some regions of Brazil because the dimensions of the areas apt for economic production be restricted.

Shorter blooms expected with longer warm periods under climate change: an example from a shallow meso-eutrophic Mediterranean lake

Satellite data from the Climate Change Initiative (CCI) lakes project were used to examine the influence of climate on chlorophyll-a (Chl-a). Nonparametric multiplicative regression and machine learning were used to explain Chl-a concentration trend and dynamics. The main parameters of importance were seasonality, interannual variation, lake level, water temperature, the North Atlantic Oscillation, and antecedent rainfall. No evidence was found for an earlier onset of the summer phytoplankton bloom related to the earlier onset of warmer temperatures. Instead, a curvilinear relationship between Chl-a and the temperature length of season above 20°C (LOS) was found with longer periods of warmer temperature leading to blooms of shorter duration. We suggest that a longer period of warmer temperatures in the summer may result in earlier uptake of nutrients or increased calcite precipitation resulting in a shortening of the duration of phytoplankton blooms. The current scenario of increasing LOS of temperature with climate change may lead to an alteration of phytoplankton phenological cycles resulting in blooms of shorter duration in lakes where nutrients become limiting. Satellite-derived information on lake temperature and Chl-a concentration proved essential in detecting trends at appropriate resolution over time.

Fixed and Mobile Low-Cost Sensing Approaches for Microclimate Monitoring in Urban Areas: A Preliminary Study in the City of Bolzano (Italy)

In the current scenario of massive urbanization and global climate change, an intelligent monitoring of the environmental variables is becoming fundamental to ensure good living conditions in cities. Indeed, the acquisition of data with high spatiotemporal resolution can enable the assessment of environmental vulnerabilities in urban areas towards the definition of responsive adaptation and mitigation strategies. In this context, the current work presents a two-fold approach based on low-cost cloud-connected sensors for (i) fixed and (ii) mobile monitoring of several environmental parameters. This paper, which focuses on the measurement aspects of the urban micro-climate, describes in detail the hardware and software components of both approaches, and how to exploit them for setting up a field campaign. The methods were tested in the city of Bolzano (Italy), demonstrating their suitability for identifying the spatial variability of the microclimate in relation to the urban morphology, and for highlighting the presence of the urban heat island and estimating its intensity.