Salt stress in plants and amelioration strategies: alleviation of agriculture and livelihood risks after the Covid-19 pandemic.

Agriculture sustains the livelihoods of over 2.5 billion people worldwide. The growing nature of disasters, the systemic nature of risk, a more recent pandemic along with abiotic stress factors are endangering our entire food system. In these stressful environment, it is widely reprimanded that strategies should be encompassed to attain increased crop yield and economic returns which would alleviate food and nutritional scarcity in developing countries. To study the physiological responses to salt stress, Vigna radiata seedlings subjected to varying levels of salt stress (0, 25, 50, 100 and 200 mM NaCl) were evaluated by tracking changes in Chl a fluorescence, pigment content, free proline and carotenoids content by HPLC. The ability of plants to adapt to salt stress is related with the plasticity and resilience of photosynthesis. As salt concentration increased, chlorophyll fluorescence indices decreased and a reduction in the PSII linear electron transport rate was observed. Chlorophyll fluorescence parameters can be used for in vitro non-invasive monitoring of plants responses to salt stress. Overall, Vigna responded to salt stress by the changes in avoidance mechanism and protective systems. Chl fluorescence indices, enzymatic contents of POD, CAT and free proline were sensitive to salt stress. The study is significant to evaluate the tolerance mechanisms of plants to salt stress and may develop insights for breeding new salt-tolerant varieties.

Assessment of the awareness about COVID-19 and the following-up of guidelines for biomedical wastes in Jaipur city.

In this COVID-19 era, isolating people and reviewing their contacts has proven to be insufficient to control the COVID-19 pandemic as there was a huge gap between exposure to the virus and isolation due to the late onset of symptoms. This led to the spread of infection and people faced the consequences not only of viral infection, but also of financial and occupational crises. People followed best management practices, however, new variants emerged that caused infection. With little information on new COVID-19 variants and their transmission, the disease spread rapidly in humans. Until now, the link between the spread of COVID-19 and the disposal of biomedical waste with household waste has not been established. Therefore, the only way to prevent infection is to make people aware. It is still necessary to open the doors for research to find the possible cause of the appearance of a new variant of COVID-19. To cope with the situation, the level of awareness among the public and their action towards the prevention of spread of infection caused by COVID-19 and its emerging variants must be known. Therefore, a survey was conducted in Jaipur from January to February 2022 to find out the status of awareness. Results of the survey revealed that both people are aware about the infection caused by COVID-19 and its variants. They are also aware about the precautions to be followed to protect themselves from acquiring COVID-19 infection. Most of the people are using masks but not gloves to prevent themselves from the infection. Merely, 71.6% of young, 100% of adults, 40% of old people sanitize their masks and gloves before disposal. Only 66.5% people are using separate bags for the collection of wastes. Despite of awareness about biomedical waste, 25% of young never sanitize, and 26.13% of young seldom sanitizes their waste before disposal. Such types of cases were not observed in adults and old age groups. Similarly, 2.3% of young did not sanitize PPE kit prior to disposal. Results of this study revealed that there is awareness about the different strains of corona virus and biomedical wastes. However, some people showed casual behaviour in the waste disposal practices. The strict implementation of rules to dispose biomedical waste will be useful for dealing with biomedical waste in this pandemic period.

COVID-19 diagnostics: Molecular biology to nanomaterials.

The SARS-CoV-2 pandemic has claimed around 6.4 million lives worldwide. The disease symptoms range from mild flu-like infection to life-threatening complications. The widespread infection demands rapid, simple, and accurate diagnosis. Currently used methods include molecular biology-based approaches that consist of conventional amplification by RT-PCR, isothermal amplification-based techniques such as RT-LAMP, and gene editing tools like CRISPR-Cas. Other methods include immunological detection including ELISA, lateral flow immunoassay, chemiluminescence, etc. Radiological-based approaches are also being used. Despite good analytical performance of these current methods, there is an unmet need for less costly and simpler tests that may be performed at point of care. Accordingly, nanomaterial-based testing has been extensively pursued. In this review, we discuss the currently used diagnostic techniques for SARS-CoV-2, their usefulness, and limitations. In addition, nanoparticle-based approaches have been highlighted as another potential means of detection. The review provides a deep insight into the current diagnostic methods and future trends to combat this deadly menace.

Deep learning based model for classification of COVID -19 images for healthcare research progress.

As imaging technology plays an important role in the diagnosis and evaluation of the new coronavirus pneumonia (COVID-19), COVID-19 related data sets have been published one after another, but there are relatively few data sets and research progress in related literature. To this end, through COVID-19-related journal papers, reports, and related open-source data set websites, organize and analyze the new coronary pneumonia data set and the deep learning models involved, including computed tomography (CT) image data sets and X-ray (CXR) Image dataset. Analyze the characteristics of the medical images presented in these data sets; focus on open-source data sets, as well as classification and segmentation models that perform well on related data sets. Finally, the future development trend of lung imaging technology is discussed.

Mask Detection

Covid-19 is causing a severe health crisis in all over the world. India has also been gravely affected by it particularly during current 2nd wave. It's caused by novel coronavirus. There are some self-precautionary measures suggested to reduce the rate of mitigation of this disease, most important one among them is wearing a face mask. So, in this paper we are putting forward a system that will help authorities curb the spread of coronavirus by detecting the people who are not wearing a mask in a CCTV monitored area when a person not wearing face mask is detected , the system automatically forwards a message to the corresponding authority . The face mask recognition in this paper has been developed using a CNN model with the help of Tensor flow and Open CV. This system has been trained by providing a dataset of images either with or without a mask. Our system has a accuracy of 95.26% in real time .We sincerely hope that our study will be helpful in stopping the spread of coronavirus once implemented.

The State of Point-of-Care Teleultrasound Use for Educational Purposes: A Scoping Review.

Bedside ultrasound has been shown to change and direct patient management in the emergent setting. Demand, use, and diagnostic potential of point-of-care ultrasound (POCUS) has continually increased throughout the years. The ongoing COVID-19 pandemic and physical distancing have necessitated further POCUS innovation. With the advent of affordable portable ultrasound devices, teleultrasound teaching has become a more viable method of POCUS education, especially in resource-limited settings. Here, we provide a scoping review of the current state of teleultrasound, specifically its use for educational purposes.

Nanodiagnostics: A review of the medical capabilities of nanopores.

Modern diagnostics strive to be accurate, fast, and inexpensive in addition to properly identifying the presence of a disease, infection, or illness. Early diagnosis is key; catching a disease in its early stages can be the difference between fatality and treatment. The challenge with many diseases is that detectability of the disease scales with disease progression. Since single molecule sensors, e.g., nanopores, can sense biomolecules at low concentrations, they have the potential to become clinically relevant in many of today's medical settings. With nanopore-based sensing, lower volumes and concentrations are required for detection, enabling it to be clinically beneficial. Other advantages to using nanopores include that they are tunable to an enormous variety of molecules and boast low costs, and fabrication is scalable for manufacturing. We discuss previous reports and the potential for incorporating nanopores into the medical field for early diagnostics, therapeutic monitoring, and identifying relapse/recurrence.