Exploring financial well-being of working professionals in the Indian context

Attainment of financial well-being is vital for individuals. Financial well-being further leads to satisfaction and happiness, which results in the overall well-being of an individual. Financial behavior and well-being assume greater importance in crises such as the COVID-19 pandemic. This study tests how working professionals' financial knowledge and attitude in a developing country relate to their financial well-being. The emphasis of the study is on determining the mediating effects of financial behavior. The study finds that financial knowledge alone may not result in an individual's financial well-being, and the relationship is mediated by financial behavior. This implies that acquiring knowledge and a positive financial attitude are important in the quest to attain financial well-being, but adopting healthy financial behavior is most important.

Covid-19 Analysis using Chest X-Rays and CT-Scan

COVID-19 is commonly known as a novel coronavirus disease, which is a highly contagious disease that emerged in China in late 2019. This disease is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It is a virus belonging to the large family of coronaviruses. The disease first emerged in Wuhan, China in 2019 and then quickly developed into a global pandemic, spreading to more than 213 countries. The well-known symptoms of COVID-19 are fever, shortness of breath, dry cough, and other symptoms. Pain or difficulty breathing may occur. Most of these symptoms point to signs of respiratory infections and lung abnormalities that can be detected by radiologists. So, chest xray and computed tomography images can be used with machine learning algorithms to find the disease.

Assessing the factors that influence the adoption of healthcare wearables by the older population using an extended PMT model

The present study aims to assess the intention of the older population to use healthcare wearable devices (HWDs) for wellness during life-threatening situations like COVID-19. The target population for the study was senior citizens (individuals aged above 60) living in Delhi and the national capital region. The respondents were aware that smartwatches could be used to monitor their health. Data from 534 respondents was collected using a structured questionnaire and nonprobability-based sampling method. The partial least squares structure equation model (PLS-SEM) was used to test the hypothesized model derived from the protection motivation theory (PMT) and constructs from previous studies on HWDs. Healthcare wearables offer new perspectives for gauging both health and technology-related dimensions. The present study is important as unlike existing studies, it discusses not only the utilitarian characteristics of HWDs but also their health-protective dimensions, which are crucial in times of life-threatening situations such as the COVID-19 pandemic. The findings indicate that there is a significant impact of both the protective and utilitarian dimensions of HWDs. The study assesses the perceived vulnerability and severity of the older population in COVID 19 and the intention to use HWDs to handle such health crises. The study confirms that perceived usefulness and information accuracy of HWDs, as well as self-efficacy, perceived severity, and perceived vulnerability of senior citizens are high during the COVID-19 pandemic, which significantly influences their intention to use HWDs.

Medical Chatbot using AI and NLP

The use of chatbots has grown rapidly across industries, including marketing, assistive systems, education, healthcare, cultural heritage, and entertainment. This paper discusses the incentives for using chatbots and explains how useful chatbots are in various contexts. As intelligent software and hardware, also known as intelligent agents, are developed and analyzed, Artificial Intelligence (AI) is becoming more and more integrated into daily lives. From manual labor to complex procedures, intelligent agents are capable of performing a wide range of tasks. One of the simplest and most common forms of intelligent human-computer interaction is the chatbot, which is a classic example of an artificial intelligence Human-Computer Interaction (HCI) system. A chatbot is described as "a computer program designed to simulate interaction with human users, particularly over the Internet." In addition to chatbots, it also called smart bots, interactive agents, digital assistants, and intelligent conversational objects. In the midst of the COVID-19 pandemic, going to the doctor is no longer an indulgence. A chatbot is a Natural Language Processing (NLP) based chatbot to help with basic medical questions. Only the best knowledge of a chatbot can be used to answer medical questions.

Limited implementation of California's Healthy Default Beverage law for children's meals sold online.

OBJECTIVE: To reduce children's sugar-sweetened beverage intake, California's Healthy-By-Default Beverage law (SB1192) mandates only unflavoured dairy/non-dairy milk or water be the default drinks with restaurant children's meals. The objective of this study is to examine consistency with this law for meals sold through online platforms from restaurants in low-income California neighbourhoods. DESIGN: This observational, cross-sectional study examines beverage availability, upcharges (additional cost) and presentation of beverage options consistent with SB1192 (using four increasingly restrictive criteria) within a random sample of quick-service restaurants (QSR) in Supplemental Nutrition Assistance Program Education eligible census tracts selling children's meals online from November 2020 to April 2021. SETTING: Low-income California neighbourhoods (n 226 census tracts). PARTICIPANTS: QSR that sold children's meals online via a restaurant-specific platform, DoorDash, GrubHub and/or UberEats (n 631 observations from 254 QSR). RESULTS: Seventy percent of observations offered water; 63 % offered unflavoured milk. Among all beverages, water was most likely to have an upcharge; among observations offering water (n 445), 41 % had an upcharge (average $0·51). Among observations offering unflavoured milk (n 396), 11 % had an upcharge (average $0·38). No observations upcharged for soda (regular or diet). Implementation consistency with SB1192 ranged from 40·5 % (using the least restrictive criteria) to 5·6 % (most restrictive) of observations. CONCLUSIONS: Based on observations from restaurant websites and three of the most popular online ordering platforms, most California QSR located in low-income neighbourhoods are not offering children's meal beverages consistent with the state's Healthy-By-Default Beverage law. As the popularity of online ordering increases, further work to ensure restaurants offering healthy default beverages with children's meals sold online is necessary.