Organ donation is the donation of biological tissue or an organ of the human body from a living or dead person to a living recipient in need of a transplantation. Organ transplantation has made rapid strides over the last 6 decades and established its status from an experimental procedure to a well-established treatment modality. The great part of organ donation is most people can be organ donors. Nurses as being the largest part of any health care fleet can play a pivotal role in the dissemination of the right information, and nurse’s knowledge and commitment towards spreading awareness and motivating people pledging for organ donation are extremely important for the success of organ donation program.
The Mechanized Discourse Feeling Acknowledgment may be an intense handle because of the hole among acoustic characteristics and human feelings, which depends emphatically on the discriminative acoustic characteristics extricated for a given acknowledgment assignment. Distinctive people have different emotions and through and through a distinctive way to precise it. Discourse feeling do have distinctive energies, pitch variations are emphasized in case considering distinctive subjects. Subsequently, the discourse feeling location may be a requesting assignment in computing vision. Here, the discourse feeling acknowledgment is based on the Convolutional Neural Network (CNN) calculation which employments distinctive modules for the feeling acknowledgment and the classifiers are utilized to distinguish feelings such as joy, astonish, outrage, impartial state, pity, etc. The dataset for the discourse feeling acknowledgment framework is the discourse tests and the characteristics are extricated from these discourse tests utilizing LIBROSA bundle. The classification execution is based on extricated characteristics. At long last able to decide the feeling of discourse flag. Keywords: Deep Learning, Speech emotion, Tensor Flow, CNN
Background: There is a high risk for healthcare workers (HCWs) to get infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the ongoing pandemic, which may last for many months. Inadequate preparedness of the healthcare delivery system, such as shortage of personal protective equipment (PPE), lack of hand hygiene facilities, insufficient manpower capacity building may compromise the safety of HCWs and quality of care. Therefore, it is essential to ensure efficient workplace readiness for the HCWs for their safety and thereby the continued quality of care. Materials and methods: A cross-sectional web-based survey was conducted to assess workplace preparedness at healthcare facilities in northern India, especially the availability of PPE, HCWs capacity building, and mitigation effort taken by institutions. A 20-item structured, prevalidated questionnaire was circulated among nurses, doctors, premedical, and other categories of healthcare workers deployed at different level of healthcare facilities in conveniently selected states of northern India. This web-based survey was conducted during the month of April-June 2020, where 1,218 HCWs voluntarily participated. Results: Out of 1,218 participants, the majority of them reported adequate supply of PPE (804; 66%), availability of sufficient hand hygiene facility (802; 65.8%), organization of capability building and upskilling training program on COVID-19 for them (896; 73.6%), and perceived institute's excellent to good level of support while working with patients of COVID-19 (890; 73.1%). Conclusion: There was provision of adequate PPE, infection control facilities, upskilling of HCWs, and support system for the healthcare warriors in northern India to maintain adequate safety of HCWs and functionality of the healthcare system in this crucial time.
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