An Ingenious Approach to Create Compassionate Teaching and Learning Environment

The topology of Teaching is changing its wings from a vibrant classroom to an ingenious active-based classroom. In this context, up-gradation to build an adaptable Covid-19 system that revamps the traditional way of Teaching tautology to a generic active learning-based system has been essential aid in the topology of Teaching and Learning mechanisms. A conventional adaptive active learning system that justifies the topology needs and pedagogy builds a passionate Teaching and Learning environment. This paper illustrates a pedagogy selected to outline the OSI Model in the Computer Networks and vibrant the deliberate classroom environment to an active learning classroom environment that inspires the classroom teaching form to a compassionate Tautology of Active Learning environment. The literature suggests many ways to imbibe a concept, but literature misrecollects the pedagogy's selection according to the topology. © 2022, Rajarambapu Institute Of Technology. All rights reserved.

TRNetCoV: Transferred Learning-based ResNet Model for COVID-19 Detection Using Chest X-ray Images

The novel coronavirus disease of 2019 (COVID-19) has caused a major outbreak in more than 160 countries and had spread widely all over the world. Scientists have proposed various techniques to detect and fight against this disease. Among them, medical imaging such as chest X-rays (CXRs) and CT scans are used widely for fast and immediate diagnosis. However, CXR image processing has already been proven to be an essential imaging modality while identifying cases of respiratory issues. Thus researchers are widely using this modality for COVID-19 estimation. Hence, the main objective of this chapter is to implement a Transferred-based ResNet model for COVID-19 detection (TRNetCoV network model). This is an automated deep transfer learning-based model using ResNet50. The proposed method is trained using CXR images of both COVID and Non-COVID cases. Finally, our proposed TRNetCoV model is evaluated on fine-tuning weights with various batch sizes, epochs, optimizers, and network architecture to improve the network performance. The results of this model had an accuracy of up to 98%. In addition, this model also proposes image preprocessing and data augmentation techniques to prevent the model's over-fitting problem. © 2022 selection and editorial matter, Om Prakash Jena, Bharat Bhushan, Utku Kose;individual chapters, the contributors.

The role of 108 GVK EMRI ambulance services in the management of behavioral emergencies in the state of Telangana.

Mental health is a major public health issue that calls for immediate steps by individuals and societies around the globe. Talking about mental health issues has always been considered a taboo, especially in lower-middle income countries. This paper assesses the role of GVK Emergency Management Research Institute (GVK EMRI) 108 Ambulance Services in the management of behavioral emergencies in the state of Telangana, India. Primary data collection was carried out in Devaryamjal village of Medchal District with people from both rural and urban setting. The use of management services for behavioral emergencies are described, and knowledge attitude and practices in communities regarding the use of these services are identified. The impact of the Covid-19 pandemic on the mental health of individuals is considered as well, and recommendations to strengthen 108 services for managing behavioral emergencies are suggested. As GVK EMRI is a first responder organization, understanding its role in the field of behavioral emergencies can fundamentally impact several lives. Findings indicate that mental health problems exist in communities, but individuals are reluctant to seek help. People from the urban setting were more open to talk about the topic. The awareness of 108 as an emergency response service was immaculate and a positive view was held about the services and the organization.

COVID-19 associated mucormycosis: A Descriptive Multisite Study from India.

BACKGROUND AND AIMS: Mucormycosis is an invasive fungal infection and carries a significant morbidity and mortality. A number of cases of mucormycosis have been reported in association with COVID-19. In this study, a consortium of clinicians from various parts of India studied clinical profile of COVID-19 associated mucormycosis (CAM) and this analysis is presented here. METHODS: Investigators from multiple sites in India were involved in this study. Clinical details included the treatment and severity of COVID-19, associated morbidities, as well as the diagnosis, treatment and prognosis of mucormycosis. These data were collected using google spreadsheet at one centre. Descriptive analysis was done. RESULTS: There were 115 patients with CAM. Importantly, all patients had received corticosteroids. Diabetes was present in 85.2% of patients and 13.9% of patients had newly detected diabetes. The most common site of involvement was rhino-orbital. Mortality occurred in 25 (21.7%) patients. On logistic regression analysis, CT scan-based score for severity of lung involvement was associated with mortality. CONCLUSION: Universal administration of corticosteroids in our patients is notable. A large majority of patients had diabetes, while mortality was seen in ∼1/5th of patients, lower as compared to recently published data.

Surgical Oncology Practice in the Wake of COVID-19 Crisis.

The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome (SARS-CoV-2) outbreak has placed unprecedented challenges globally dismantling healthcare systems and forcing rapid transformations of healthcare services. In patients with cancer, these changes are having profound effects on vital aspects of their care. It has been advised that hospitals discontinue elective surgery and work on triage of nonemergent surgical procedures during the pandemic. The purpose of this article is to highlight the recommendations and adapted workflow from the private and public tertiary level hospitals in India advising on the best practices and views on better patient management, redesigning of SOPs for OR, surgeon, and staff safety and resumption of cancer care especially from surgical perspective. Different concerns are addressed that are necessary to optimize the quality of care provided to COVID-19 patients and to reduce the risk of viral transmission to other patients or healthcare workers.