An Indian Green Deal: Greening our way out of the pandemic

The Indian economy is facing a crisis at three different levels — health, economic and climate-change related. This ongoing crisis has given India an opportunity to change the course of development, a model where people, not profits, form the core. Based on the Indian economy's employment-generating capacity, we propose an Indian Green Deal (IGD) that generates jobs and fundamentally alters the carbon footprint of the economy. The programme is divided into three components – care economy, infrastructure, and green energy transition – to address the triple crises, respectively. We show that for the same amount spent, 3.5 jobs will be generated in green energy programme compared to one job in the fossil fuel sector. If the amount promised under the Covid package of the Indian government are spent on IGD, it would generate 22.7 million jobs every year. It also provides disaggregated evidence on the quality of jobs as well as gender and caste representation. As for financing, there are two ways in which it can be financed — an international carbon fund and/or domestic sources. An IGD, financed through these sources, addresses both the questions of the climate crisis and climate injustice in one go. © 2023 Elsevier B.V.

Using explainable deep learning in da Vinci Xi robot for tumor detection

Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed tomography (CT) scans for humans and animals. This paper proposes applications of deep learning in detecting cancerous cells inside patients via laparoscopic camera on da Vinci Xi surgical robots. The paper presents method for detecting tumor via object detection and classification/localizing using GRAD-CAM. Localization means heat map is drawn on the image highlighting the classified class. Analyzing images collected from publicly available partial robotic nephrectomy videos, for object detection, the final mAP was 0.974 and for classification the accuracy was 0.84.

Impact of COVID-19 on Mental Health in Adolescents: A Systematic Review.

Due to lack of sufficient data on the psychological toll of the COVID-19 pandemic on adolescent mental health, this systematic analysis aims to evaluate the impact of the pandemic on adolescent mental health. This study follows the PRISMA guidelines for systematic reviews of 16 quantitative studies conducted in 2019-2021 with 40,076 participants. Globally, adolescents of varying backgrounds experience higher rates of anxiety, depression, and stress due to the pandemic. Secondly, adolescents also have a higher frequency of using alcohol and cannabis during the COVID-19 pandemic. However, social support, positive coping skills, home quarantining, and parent-child discussions seem to positively impact adolescent mental health during this period of crisis. Whether in the United States or abroad, the COVID-19 pandemic has impacted adolescent mental health. Therefore, it is important to seek and to use all of the available resources and therapies to help adolescents mediate the adjustments caused by the pandemic.