Green management emerges as a pivotal strategy for sustainable development. This approach integrates environmental sustainability into organizational practices, aiming to reduce non-ecological impact while enhancing operational efficiency. This study explores how the general public’s growing interest in EmFi is reshaping financial services and influencing the creation of digital ecosystems across various industries and organizations. The risks of EmFi and AI, including cybersecurity, data privacy and regulatory compliance are highlighted by the study while it also stresses on how technological progress must (...) go hand in glove with green management practices. In the current scenario, AI has emerged as a critical driver of corporate value and strategy in this digital age. By enhancing business operations, decision-making processes, and customer interactions, AI is providing companies with competitive advantage and boosting financial performance in green waste management. The integration of AI into financial services, especially through EmFi, enables firms to optimize resource allocation, forecast market trends, and innovate more efficiently. Our research highlights the junction between Embedded Finance and Green Waste Management initiatives via AI during Bharat’s BRICS economic trajectory. It further provides practical recommendations for companies to navigate this evolving landscape, emphasizing the importance of AI literacy, innovation, and strong governance structures to manage both risks and opportunities effectively for Viksit Bharat (Developed Nation). (shrink)

AimThe aim of this study was to determine the presence of depressive symptoms and understand the potential factors associated with these symptoms among physicians in Bangladesh during the COVID-19 pandemic.MethodsA cross-sectional study using an online survey was conducted in between April 21 and May 10, 2020, among physicians living in Bangladesh. Participants completed a series of demographic questions, COVID-19-related questions, and the Patient Health Questionnaire-9. Descriptive statistics, test statistics were performed to explore the association between physicians’ experience of depression symptoms (...) and other study variables. Stepwise binary logistic regression was followed while conducting the multivariable analysis.ResultA total of 390 physicians completed the survey. Of them, 283 were found to be experiencing depressive symptoms. Predictors which were significantly associated with depressive symptoms were gender, the presence of sleep disturbance, being highly exposed to media coverage about the pandemic, and fear around COVID-19 infection, being assaulted/humiliated by regulatory forces and by the general public, while traveling to and from the hospital and treating patients during the countrywide lockdown.ConclusionThe findings of this study demonstrate that there is a high prevalence of depressive symptom among physicians especially among female physicians in Bangladesh during the COVID-19 pandemic. Immediate, adequate and effective interventions addressing gender specific needs are required amid this ongoing crisis and beyond. (shrink)

A prefrontal control system that is less mature than the limbic reward system in adolescence is thought to impede self-regulatory abilities, which could contribute to poor dietary choices and obesity. We, therefore, aimed to examine whether structural morphology of the prefrontal cortex and the amygdala are associated with dietary decisions and obesity in children and adolescents. Seventy-one individuals between the ages of 8–22 years participated in this study; each participant completed a computer-based food choice task and a T1- and T2-weighted (...) structural brain scans. Two indices of obesity were assessed, including age- and sex-specific body mass index and waist-to-height ratio. The behavioral task included rating 60 food stimuli for tastiness, healthiness, and liking. Based on each participant’s self-ratings, 100 binary food choices were then made utilizing a computer mouse. Dietary “self-control” was calculated as the proportion of trials where the individual chose the healthier food item over the total number of trials. Cortical thickness and amygdala subnuclei volumes were quantified using FreeSurfer 6.0 and CIT168 atlas, respectively. We found that WHtR was negatively associated with the thickness of bilateral superior frontal, left superior temporal, right insula, and right inferior temporal regions. We also found WHtR to be positively associated with the volume of the central nucleus region of the amygdala, after adjusting for the hemisphere, age, sex, and intracranial volumes. A similar data pattern was observed when BMIz was used. Moreover, we found that across all participants, thinner right superior frontal cortex and larger left CEN volumes predicted lower dietary self-control. These results suggest that differential development of the PFC and amygdala relate to obesity and dietary self-control. Further longitudinal studies are merited to determine causal relationships among altered PFC to amygdala neural circuitry, dietary self-control, and obesity. (shrink)

This book is about Addressing Gender Bias in Science & Technology.

Samarqand et le Sughd à l’époque ‘abbāsside: Histoire politique et sociale. By Yury Karev. Studia Iranica, Cahiers, vol. 55. Paris: Association pour l’Avancement des Études Iraniennes, 2015. Pp. 372. €40.

An economically viable and environmental friendly method of generating hydrogen for fuel cells is by the reaction of certain metals with steam, called metalsteam reforming (MSR). This technique does not generate any toxic by-products nor contributes to the undesirable greenhouse effect. From the standpoint of favorable thermodynamics, total environmental benignity, and attractive economics, iron appears to be the metal of choice for such a process. An inexpensive source of iron for the MSR is the steel industry's mill-scale waste via hydrogen (...) and carbothermic reduction, both of which are energy-intensive processes. These have been eliminated by a novel, solution-based room temperature technique producing nanoscale iron, thus obviating the sintering of iron or iron oxide and deactivation during the cyclic operation of MSR. Some preliminary results are presented of an investigation aimed at converting the mill-scale waste into nanoscale iron, which was subsequently used in generating hydrogen for proton exchange membrane fuel cells. (shrink)