Kidney health for all: preparedness for the unexpected in supporting the vulnerable.

As the rate of natural disasters and other devastating events caused by human activities increases, the burden on the health and well-being of those affected by kidney disease has been immeasurable. Health system preparedness, which involves creating a resilient system that is able to deal with the health needs of the entire community during times of unexpected disruptions to usual care, has become globally important. In the wake of the COVID-19 pandemic, there is a heightened awareness of the amplification of negative effects on the renal community. Paradoxically, the complex medical needs of those who have kidney diseases are not met by systems handling crises, often compounded by an acute increase in burden via new patients as a result of the crisis itself. Disruptions in kidney care as a result of unexpected events are becoming more prevalent and likely to increase in the years to come. It is therefore only appropriate that the theme for this year's World Kidney Day will focus on Kidney Health for All: preparedness for the unexpected in supporting the vulnerable.

A Study on Consumer Preference over the Retail Format during and Post Covid Pandemic and Adoption of Digital Technologies to Meet Shopper's Expectations

This The COVID-19 lockdown had mandated to redesign operations, trigger innovations and embrace contemporary technologies to sustain in retail business. Significant changes in consumption pattern, types of products opted, and place of purchase were observed. This research work studied the shopping behavior of millennial retail customers during the period of lockdown and after relaxations with respect to place of purchase of essential items. Understanding the Millinials preference over the various retail formats including small shops, Modern trade E commerce sites during and post lockdown is the major objective of this research. The researcher has collected samples from Two hundred and fifty respondents residing in various parts of Tamil Nadu representing Metros, Urban, Semi Urban and Rural. Areas including Chennai, Coimbatore, Vellore, Salem, Madurai, Trichy, Pollachi, Rajapalayam, Bhavani, Kumbakonam, Siruvallur, Poolavadi, Pollavadu, Vellodu and Kattukottai has been identified using the method of convenient sampling for collecting data from the Millinials. Chi-Square and descriptive statistics were conducted as a apart of data analysis. The results implies that Place of Residence and level of Annual Income affects the choice of retailer of millennial customers. Increase in store traffic was observed in modern trade for Groceries (20%), FMCG (24%) and Packaged Food Products (14%) after lockdown restrictions were relaxed. The researcher has also analyzed customer expectations while shopping in online and offline stores through which the authors listed relevant digital technologies for enhancing the shopping experience electronic document is a 'live' template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. © 2022 IEEE.

Wearable Tag for Human Health Monitoring System

With the growing elderly population and the importance of a seamless infant care system, wearable tags are vital for continually monitoring health conditions, researching behaviours, detecting events such as falls, tracking location, and so on. With the advancement of wearable technology, several researchers are developing a solution for establishing a seamless human health monitoring system that can be used both indoors and outdoors. The proposed method has a Convolutional Neural Network (CNN) algorithm for recognizing the human biological signals like Temperature (T), Blood Pressure (BP), ECG (S) and Oxygen level (O) and tracking the location (L) of person. Also, the sensed data gets stored in the cloud for analysing the historical data and predict a future event. is the proposed method has obtained a 99.8% accuracy, less complex and compatible to use over other IoT wearable devices and provide a complete report when the authorized person intends to know the status of health and all by using a mobile phone. The proposed Wearable Tag is required to overcome the impact of present COVID-19 scenario. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Identification of Mucormycosis in post Covid-19 case using Deep CNN

Patients infected by coronavirus disease 2019, particularly in India, are more likely to develop rhino-orbital mucormycosis, which has risen in frequency. Diabetes mellitus (DM) is a renowned chance element during COVID-19 infection and mucormycosis (fungal infection of the gut) (fungal infection). This research aims to conduct a methodical review of the paper to ascertain the characteristics of people who have mucormycosis and COVID-19. We conducted a keyword search of the electronic dataset database from its inception until June 2021, and the findings are presented in the following report. This work compiled all of the fine-grained information from case history records of patients with COVID-19 and mucormycosis worldwide. We next examined the patient steroid usage, health characteristics, mucormycosis location, associated comorbidities, and prognosis of COVID-19 patients, among other things. Many cases of mucormycosis are recorded in people who have been infected with COVID-19, with an additional few other cases reported from other parts of the globe. Most instances (82 percent) occurred in India, with Mucormycosis being found in the vast majority of males (80 percent) and about 40 percent of COVID-19 patients who were active and recovered. Patients with pre-existing diabetes were found to have DM in above 80 percent of patients. The DKA (Diabetic ketoacidosis) was found in 15 percent of patients with pre-existing diabetes. Corticosteroids were utilized to treat COVID-19 in 76.3 percent of individuals studied. Mucormycosis of the nose and sinuses was the most prevalent kind (88.9 percent), followed by rhino-orbital mucormycosis (14 percent ). (56.7% ). In 30.7 percent of the instances, there was a death to record. Diabetes, prolonged corticosteroid usage, and the presence of COVID-19 all appear to be associated with an increase in mucormycosis. Every effort should be made to maintain optimum glucose levels in COVID-19 patients, with corticosteroids used sparingly. Image binarization is a good approach for image segmentation. Finally, the bacterial edge is removed using the four-neighbor corrosion approach. If the correct data is identified, the bacterium's size is determined, and the mass of the bacteria density is approximated. The density accuracy of the test has an absolute error of less than 0.015, which fulfills the technical criteria.