The patient and public involvement of adults with cerebral palsy in doctoral research during the pandemic: ref lections on the process, chal lenges, impact and experiences

Background: Cerebral palsy (CP) is a lifelong disability, where people experience complications as they age in addition to their underlying condition. Including the views of people with CP through public and patient involvement (PPI) ensures that research is relevant and meaningful in addressing their concerns. However, there is a lack of evidence on incorporating the voices of adults with CP in the research process. Further, there is no guidance on how to involve people with CP in PPI during the COVID-19 pandemic. Therefore, this paper aims to provide an overview of how adults with CP were involved in a doctoral research process during the pandemic. Methods: This paper describes the PPI process and its impact at various stages of the doctoral research process and reflects on the experiences from the perspective of the researcher and adults with CP. Results: A panel of adults with CP was established and consulted throughout the research to support development of the research question, study documentation, data collection, analysis, interpretation and dissemination of findings. The researcher and adult reflections highlighted the value of collaboration and the positive impact on research at each stage. Although meetings were adapted due to the pandemic, the values of PPI were adhered to throughout the doctoral research. Conclusion: Involving adults with CP positively impacts the research process and ensures meaningful change. Reflective findings may help other researchers involve adults with CP and adapt to remote PPI processes.

Organic LED Farming for Self Sustainability During Post COVID-19

An organic LED (Light emitting diode) farming using artificial intelligence is the way to increase crop production effectively with LED lights. Users can able to select specific range of wavelength to induce targeted photomorphogenic, bio chemical, or physiological plant responses. LED can prevent physiological disorder that are commonly existing in indoor environments, and helps in reducing if pest and diseases pressure in growing plants.

Real Time Face Mask Identification Using Deep Learning

Corona virus disease (COVID-19), one of the most life-threatening diseases which is highly harmful to the people in all over the world. The government of all countries in the world are in the situation to make effective steps to prevent the spread of COVID-19 in the society. If this situation continuous means the extinction of human beings may possible. So, the foremost action towards the virus is to stop spreading from the infected to the non-infected persons. To prevent spreading of the virus, one has to maintain social distancing from other people and personal hygiene. The main mode of transmission of the COVID-19 is by the droplets of saliva and the discharge from the nose. The governments laid a strict rule to wear a mask in the public places to prevent the spreading of the virus. Various technological techniques are well applied in pandemic studies. In this case we applied a deep learning algorithm to determine whether or not an individual is wearing a face mask. This research resulted in identification of face mask in the public places which results in the lowering of spread of the virus. This model is developed using the Convolutional Neural Network (CNN). It extracts the facial landmarks of the person and finds the face mask region. It is trained by datasets and predicts the result.