A Novel Model Using ML Techniques for Clinical Trial Design and Expedited Patient Onboarding Process.

Introduction: Clinical trials are critical for drug development and patient care; however, they often need more efficient trial design and patient enrolment processes. This research explores integrating machine learning (ML) techniques to address these challenges. Specifically, the study investigates ML models for two critical aspects: (1) streamlining clinical trial design parameters (like the site of drug action, type of Interventional/Observational model, etc) and (2) optimizing patient/volunteer enrolment for trials through efficient classification techniques.

Understanding the Medical Education Experiences of Low-Income Students Through a Maslow's Hierarchy of Needs Lens: An Exploratory Qualitative Study.

Background: Diversity in the physician workforce is critical for quality patient care. Students from low-income backgrounds represent an increasing proportion of medical school matriculants, yet little research has addressed their medical school experiences.

Objective: To explore the medical school experiences of students from low-income backgrounds using a modified version of Maslow's Hierarchy of Needs (physiologic, safety, love/belonging, esteem, and self-actualization) as a theoretical framework.

CEO's temporal orientation and entrepreneurial orientation of firm: The contingent effects of environmental characteristics.

Extending upper echelon theory perspective, the paper extends the past research literatures on the effects of CEO characteristics in determining strategic choices of firms, and examines the effects of CEO's temporal orientation on entrepreneurial orientation of firms. Moreover, examining the contingent effects of environmental munificence, complexity, and dynamism in the U-shaped relationship between CEO's temporal orientation and entrepreneurial orientation of firm contributes to the understanding of the boundary conditions and determines the strength of the relationship between CEO's temporal orientation and EO of firm. We test our hypotheses using panel data analysis of Indian firms during 2007-2016.

Trend and determinants of tobacco use among Indian males over a 22-year period (1998-2021) using nationally representative data.

Objective: Tobacco consumption is associated with an increased risk of morbidity and mortality. India is one of the largest consumers of tobacco worldwide. We assessed the trend of tobacco use among Indian males over a period of 20 years using data obtained from four rounds of the National Family Health Survey (NFHS).

Factors influencing perceptions of processed baby foods and feeding practices among Indian mothers: a qualitative investigation.

Objective: To explore how professionally qualified, working Indian mothers conceptualize healthy foods in general, perceive processed infant and baby foods available commercially and what feeding practices they actually follow with their children at home.

Design: Five focus groups with 8-12 participants were conducted around the participants' conceptualization of healthy food, their perceptions about commercially available processed baby and infant foods and their actual feeding practices that they routinely follow with their children. Discussion transcripts were analyzed using an inductive coding approach.

Spatial variation and risk factors of the dual burden of childhood stunting and underweight in India: a copula geoadditive modelling approach.

India has one of the highest burdens of childhood undernutrition in the world. The two principal dimensions of childhood undernutrition, namely stunting and underweight can be significantly associated in a particular population, a fact that is rarely explored in the extant literature. In this study, we apply a copula geoadditive modelling framework on nationally representative data of 104,021 children obtained from the National Family Health Survey 5 to assess the spatial distribution and critical drivers of the dual burden of childhood stunting and underweight in India while accounting for this correlation.

Determinants of public institutional births in India: An analysis using the National Family Health Survey (NFHS-5) factsheet data.

Background: Institutional births ensure deliveries happen under the supervision of skilled healthcare personnel in an enabling environment. For countries like India, with high neonatal and maternal mortalities, achieving 100% coverage of institutional births is a top policy priority. In this respect, public health institutions have a key role, given that they remain the preferred choice by most of the population, owing to the existing barriers to healthcare access.

Inhalant abuse among street-involved children and adolescents in India: Case for epistemic recognition and reorientation.

Contextualizing the void of research on inhalant abuse among adolescents as epistemic neglect, in this study, we use mixed-methods action research to understand inhalant abuse in a specific context in the Global South. Focusing on a large metropolitan city in Western India, we surveyed 158 street-involved children and adolescents (110 boys and 48 girls, age range from 5 to 17 years) in a group setting along with follow-up group interviews. Despite finding a high prevalence rate of inhalant abuse, our work suggests an absence of supporting structures and emphasizes the need to revisit our understanding and interpretation of substance-using behavior of street-involved youth.

Compact living or policy inaction? Effects of urban density and lockdown on the COVID-19 outbreak in the US.

The coronavirus pandemic has reignited the debate over urban density. Popular media has been quick to blame density as a key contributor to rapid disease transmission, questioning whether compact cities are still a desirable planning goal. Past research on the density-pandemic connection have produced mixed results.

An analysis of the dual burden of childhood stunting and wasting in Myanmar: a copula geoadditive modelling approach.

Objective: To analyze the spatial variation and risk factors of the dual burden of childhood stunting and wasting in Myanmar.

Design: Analysis was carried out on nationally representative data obtained from the Myan-mar Demographic and Health Survey conducted during 2015-2016. Childhood stunting and wasting are used as proxies of chronic and acute childhood undernutrition.

Cost of inaction: a framework to estimate the economic cost of missing a patient with tuberculosis in the Indian context.

Objectives: To estimate the economic impact of failure to find and treat tuberculosis disease and prevent tuberculosis infection from progressing to active disease.

Design: Estimating the economic cost of not finding and treating a patient suffering from tuberculosis.

Setting: Estimation methodology is developed in the Indian context, as informed by local costs and reported tuberculosis epidemiology.

A costing framework to compare tuberculosis infection tests.

Objective: To develop a framework to estimate the practical costs incurred from, and programmatic impact related to, tuberculosis (TB) infection testing-tuberculin skin tests (TST) versus interferon gamma release assay (IGRA)-in a densely populated high-burden TB area.

Methods: We developed a seven-step framework that can be tailored to individual TB programmes seeking to compare TB infection (TBI) diagnostics to inform decision-making. We present methodology to estimate (1) the prevalence of TBI, (2) true and false positives and negatives for each test, (3) the cost of test administration, (4) the cost of false negatives, (5) the cost of treating all that test positive, (6) the per-test cost incurred due to treatment and misdiagnosis and (7) the threshold at which laboratory infrastructure investments for IGRA are outweighed by system-wide savings incurred due to IGRA utilisation.

Impact of Glasgow Climate Pact and Updated Nationally Determined Contribution on Mercury Mitigation Abiding by the Minamata Convention in India.

India is one of the largest emitters of atmospheric anthropogenic mercury (Hg) and the third-largest emitter of greenhouse gases in the world. In the past decade, India has been committed to the Minamata Convention (2017) in addition to the Paris Climate Change Agreement (2015) and the Glasgow Pact (2021). More than 70% to 80% of India's mercury and carbon dioxide emissions occur because of anthropogenic activities from coal usage.

Transitioning diets: a mixed methods study on factors affecting inclusion of millets in the urban population.

Background: The increasing health challenge in urban India has led to consumers to change their diet preferences by shifting away from staple cereals and making way for healthier foods such as nutri-cereals like millets and other diverse food groups. Taking the case of millets, this study seeks to uncover the exact drivers for this shift of consumers away from a traditional cereal dense diet to a nutritionally more diverse diet that includes nutri-cereal. We also look at deterrents that dissuade consumers from shifting to millets.

Covid-19 cure perceptions and media use in India.

Background: During the early phases of Covid-19, social media platforms became a significant source of misinformation, and India emerged as a global hotspot. Studies show that 'miracle cure' for preventing and treating Covid-19 infection has been a prominent topic of misinformation. This study explores the extent to which beliefs in cure for Covid-19 in three prominent medical traditions popular in India are associated with the exposure to and trust in various sources from which the public access information.

Lights out? COVID-19 containment policies and economic activity.

This paper estimates how strongly COVID-19 containment policies have impacted aggregate economic activity. We use a difference-in-differences methodology to estimate how containment zones of different severity across India impacted district-level nighttime light intensity, as well as household income and consumption. From May to July 2020, nighttime light intensity was 9.

Temporal dynamics of justice climate and team innovation.

Team innovation-exploration and exploitation of useful and novel ideas by a team has been a topic of great importance for organizations in today's dynamic, complex, and competitive environment. Grounded in the social contagion theory of justice, we theorize a justice-to-innovation processual model based on within-team justice climate occurrences that change over time. We posit that collective and shared justice perceptions of team members construct dynamically based on justice-related work events.

Intervening on impostor phenomenon: prospective evaluation of a workshop for health science students using a mixed-method design.

Background: Unaddressed impostor feelings that impede developing interest in science and self-efficacy in conducting research have a dispiriting effect that perpetuates unsatisfactory diversity in the health science workforce when such feelings are experienced more by those historically underrepresented in the workforce. This warrants effective interventions to reduce the impact of impostor feelings and related factors that diminish career resilience. We examined the effects of a 90-minute workshop on impostor perceptions and growth mindset to raise awareness of impostor phenomenon (IP) and develop skills to manage IP successfully for students attending a 10-week summer research experience program.

Integrating poverty alleviation and environmental protection efforts: A socio-ecological perspective on menstrual health management.

Apt menstrual health management is crucial to the livelihood of low-income, bottom of the pyramid (BOP) women as well as to environmental conservation. However, knowledge is still scant about the factors underpinning women's preferences towards menstrual products, and whether and how the environmental impact of different solutions matter to women's choices. We address this gap by proposing a socio-ecological perspective to understand whether a product's low environmental impact enhances low-income women's uptake of sanitary napkins, thereby supporting poverty alleviation objectives but also efforts geared towards environmental protection.

Faculty Experiences of the Impostor Phenomenon in STEM Fields.

Successful people experiencing impostor phenomenon consider themselves less competent and less worthy of their positions or achievements. They attribute their success to luck, deceit, fraudulence, and others being kind to them instead of their own competence. Prior research has focused primarily on students in higher education; faculty experiences of impostor phenomenon in science, technology, engineering, and mathematics (STEM) fields are not well understood.

Technology, Megatrends and Work: Thoughts on the Future of Business Ethics.

To commemorate 40 years since the founding of the Journal of Business Ethics, the editors in chief of the journal have invited the editors to provide commentaries on the future of business ethics. This essay comprises a selection of commentaries aimed at creating dialogue around the theme . Of all the profound changes in business, technology is perhaps the most ubiquitous.

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review.

Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources. Despite such potential benefits and the increase in popularity of AI and BDA in the context of supply chains, research to date is dispersed into research streams that is largely based on the publication outlet. We curate and synthesise this dispersed knowledge by conducting a systematic literature review of AI and BDA research in supply chain resilience that have been published in the Chartered Association of Business School (CABS) ranked journals between 2011 and 2021.

A multi-type branching process model for epidemics with application to COVID-19.

In this paper we model an infectious disease epidemic using Multi-type Branching Process where the number of offsprings of different types follow non-identical Poisson distributions whose parameters may vary over time. We allow for variation in parameters due to the behavior of citizens, government interventions in the form of lockdown, testing and contact tracing and the infectiousness of the variant of the virus in circulation at a time-point in a location. The model can be used to estimate several unknown quantities of interest in an epidemic such as the number of undetected cases and number of people quarantined following contact tracing.