Articles

<b>Background:</b><b> </b>Educational attainment is generally associated with reduced reliance on Social Security and disability benefits; however, the Minorities' Diminished Returns (MDRs) theory suggests that the socioeconomic benefits of education are weaker for minoritized populations. This study investigates the relationship between educational attainment and welfare receipt among American Indian/Alaska Native (AIAN) and White adults in the United States. <b>Objective:</b><b> </b>Using the MDRs framework, we analyzed data from the National Health Interview Survey (NHIS) 2023 to examine how educational attainment impacts welfare receipt among AIAN and White adults. <b>Methods:</b><b> </b>We analyzed a nationally representative sample of AIAN and White adults from the NHIS 2023 dataset. Welfare receipt was assessed as the receipt of any public assistance or welfare payments from state or local welfare offices. Educational attainment was categorized into three levels: less than high school (reference), high school diploma to some college, and college degree or higher. Logistic regression models were used to assess the relationship between educational attainment and welfare receipt, with separate analyses for AIAN and White adults to evaluate differential effects. <b>Results:</b> Higher educational attainment (high school diploma to some college and college degree or higher) was associated with lower odds of welfare receipt across both groups. However, the protective effect of a college degree was significantly weaker for AIAN adults compared to White adults. Consequently, AIAN adults remain at a higher risk of welfare reliance even with higher education, consistent with the Minorities' Diminished Returns (MDRs) framework. <b>Conclusions:</b> Although educational attainment generally reduces welfare reliance, this protection is less pronounced for AIAN adults than for White adults. This discrepancy suggests that structural factors, segregation, and social stratification may undermine the economic and health benefits of education for racialized groups in the U.S. Addressing these disparities requires policy interventions that extend beyond education, emphasizing quality job opportunities, healthcare access, and reduced labor market discrimination for individuals with advanced educational credentials, regardless of race.

<b>Background: </b>Chronic medical conditions are major drivers of healthcare spending, morbidity, and mortality in the United States, as well as critical indicators of health disparities. The disproportionately high rates of chronic medical conditions among Black, Latino, and American Indian and Alaska Native adults compared to non-Latino Whites highlight the urgent need to examine the factors contributing to these disparities. While higher socioeconomic status is generally associated with better health outcomes, this benefit may be diminished for racialized and minoritized populations. <b>Objective:</b> This study investigates the protective effects of educational attainment and income-to-poverty ratio on the prevalence of chronic medical conditions and examines whether these effects vary across racial and ethnic groups, specifically among Black, Latino, and American Indian and Alaska Native adults compared to non-Latino White adults. <b>Methods:</b> Using data from the 2023 National Health Interview Survey (NHIS), this cross-sectional study analyzed the association between educational attainment and chronic medical conditions across racial and ethnic groups. Logistic regression models were employed to assess whether the strength of the relationship between education and chronic medical conditions differed by racial/ethnic group, controlling for key demographic and socioeconomic covariates. Sample size was 29,373 which was reflective of 256,566,689 US population. <b>Results:</b> Consistent with the theory of Minorities' Diminished Returns, findings showed that the protective effects of higher educational attainment on chronic medical conditions were significantly weaker for Black, Latino, and American Indian and Alaska Native adults than for their non-Latino White counterparts. Even among individuals with higher education, Black, Latino, and American Indian and Alaska Native adults faced elevated risks of chronic medical conditions. <b>Conclusion:</b> While educational attainment generally reduces the prevalence of chronic medical conditions, this protective effect is moderated by racial and ethnic background. Structural barriers limit the health benefits of educational attainment. This underscores the need for policies that address structural inequities—such as low-quality education and occupational segregation—that constrain the protective health effects of educational attainment for minoritized groups.

<b>Background: </b>Research on Minorities’ Diminished Returns (MDRs) consistently reveals that social determinants of health, especially educational attainment, do not yield equal health benefits across racial and ethnic groups in the United States. MDRs suggest that social stratification, segregation, lower education quality, and labor market discrimination contribute to diminished health returns of education among minoritized groups. However, few studies have tested the relevance of MDRs in American Indian and Alaska Native (AIAN) populations compared to non-Hispanic White adults. <b>Objectives:</b> This study aimed to examine the strength of the inverse association between educational attainment and hypertension prevalence, hypothesizing that the protective effect of education on hypertension risk is reduced among AIAN adults relative to non-Hispanic Whites. <b>Methods:</b> Using data from the 2023 National Health Interview Survey (NHIS), we analyzed a nationally representative sample of adults aged 18 and older. Logistic regression models examined the association between educational attainment and self-reported hypertension diagnosis, stratified by racial/ethnic group (AIAN vs. non-Hispanic White). Models were adjusted for key covariates, including age, gender, income, and insurance status. <b>Results:</b> Higher educational attainment was associated with a lower prevalence of hypertension in the combined sample of AIAN and non-Hispanic White adults. However, this protective association was significantly weaker among AIAN adults compared to non-Hispanic White adults, as evidenced by a significant interaction between race and education. <b>Conclusion:</b> AIAN adults exhibit a higher prevalence of hypertension even at higher levels of educational attainment compared to non-Hispanic White adults, supporting the relevance of MDRs for AIAN populations. This finding underscores the need for public health interventions that address structural barriers and contextual factors unique to AIAN populations. Policies focused solely on educational access may be insufficient to reduce hypertension risk among AIAN adults without addressing broader social and structural inequities.

Over the past few decades, cardiovascular disease and related complications have surpassed all others as the important causes of death on a universal scale. At the moment, they are the important cause of mortality universal, including in India. It is important to know how to find cardiovascular problems early so that patients get better care and prices go down. This project utilizes the UCI Heart Disease Dataset to develop ML and DL models capable of detecting cardiac diseases. Heart illness was categorized using Convolutional Neural Network (CNN) models, which are able to detect intricate patterns in supplied data. A confusion matrix rating, an F1-score, a ROC curve, accuracy, precision, and recall were some of the measures used to grade the model. It did much better than the Neural Network, Deep Neural Network (DNN), and Gradient Boosted Trees (GBT) models, with 91.71% accuracy, 88.88% precision, 82.75% memory, and 85.70% F1-score. Comparative study showed that CNN was the most accurate model. Other models had different balances between accuracy and recall. The experiment results show that the optional CNN model is a decent way to identify cardiovascular disease. This means that it could be used in healthcare systems to find diseases earlier and treat patients better.

<b>Background: </b>Education is widely recognized as a key driver of wealth generation, providing individuals with the opportunity to enhance their socioeconomic status. However, the effectiveness of education in generating wealth varies significantly across different social groups. In the United States, research has shown that Black individuals experience weaker economic returns on education compared to their White counterparts, a phenomenon explained by the theory of Minorities' Diminished Returns (MDRs). Although MDRs have been documented in various countries, their relevance to caste-based disparities in India remains unexplored. <b>Objective: </b>This study aims to investigate the caste-based diminished returns of education on wealth in India. We hypothesize that the returns on educational attainment, in terms of wealth generation, will be weaker for individuals from Scheduled Castes (SCs) compared to those from higher castes, using data from the India Demographic and Health Surveys (DHS). <b>Methods: </b>This study was a cross-sectional analysis of DHS -2019/2021 data from India, examining the relationship between educational attainment and wealth across different caste groups (scheduled castes and non-scheduled castes). Multivariate regression models will be employed to assess the interaction between caste and education in predicting wealth outcomes, controlling for relevant covariates such as age, gender, and region. <b>Results: </b>The study is expected to find that the returns on education, in terms of wealth, are significantly weaker for individuals from Scheduled Castes compared to those from higher castes. This would indicate that caste-based discrimination continues to hinder the economic progress of Scheduled Castes, even when they achieve similar levels of education as their upper-caste counterparts. <b>Conclusion: </b>The findings of this study will extend the MDR framework to the Indian context, demonstrating that caste-based disparities result in diminished returns on education for wealth generation. This study underscores the need for targeted policies that address the specific barriers faced by Scheduled Castes in translating educational attainment into economic success and highlights the ongoing impact of caste-based discrimination in India.

The active pharmaceutical ingredients (API) are very critical substances for generic drugs. Any issue in the global supply chain for sourcing APIs heavily impacts generic drugs demands in the market. It is imperative to keep a close eye on the API supply in order to spot possible priorities for domestic manufacturing as well as bottlenecks in the US pharmaceutical supply chain. Most of the API's are manufactured in countries like India and China, and any issue in the manufacturing or supply of the API's may critically impact generic drug production globally. The Government and regulatory agencies must take initiatives to mitigate the risk of supply chain interruptions in the API business.

The Internationalization of higher education has plummeted since the 2010 tightening of migration policies. This study aims to examine the retention and graduation rates of international students at Northern Arizona University (NAU). Using a quantitative analysis approach, the study utilized secondary data from the Center for International Admission and Recruitment Office at NAU to examine the university’s recruitment, graduation, and retention strategies. The aim was to evaluate the impact of internationalization strategies on application and enrolment numbers. The study sample consisted over 2000 international students from fourteen countries, including China, India, Vietnam, Kuwait, Nepal, Ghana, Nigeria, United Kingdom, Spain, Germany, Canada, Mexico, France, and Iran in four cultural groups (Asia, Europe, Africa, and North America). A random sampling technique was used to select these countries partly because of their highest applications, enrolment numbers, as well as their adoption of recruitment strategies like those used by higher education institutions in the United States. A descriptive graphic representation, focusing on full-time undergraduate students during fall semesters, specifically freshmen international students, is illustrated. To facilitate a cross-country comparison of international students, this study presents an analysis of retention and graduation data across different countries spanning the past five years, from 2016 to 2020.

Artificial intelligence (AI) based triage and diagnostic systems are increasingly being used in healthcare. Although these online tools can improve patient care, their reliability and accuracy remain variable. We hypothesized that an artificial intelligence (AI) powered triage and diagnostic system (MayaMD) would compare favorably with human doctors with respect to triage and diagnostic accuracy. We performed a prospective validation study of the accuracy and safety of an AI powered triage and diagnostic system. Identical cases were evaluated by an AI system and individual Indian healthcare practitioners (HCPs) to draw comparison for accuracy and safety. The same cases were validated with the help of consensus received from an expert panel of 3 doctors. These cases in the form of clinical vignettes were provided by an expert medical team. Overall, the study showed that the MayaMD AI based platform for virtual triage was able to recommend the most appropriate triage ensuring patient safety. In fact, the accuracy of triage recommendation by MayaMD was significantly better than that provided by individual HCPs (74% vs. 91.67%, p=0.04) with consensus being used as standard.

The outbreaks and quick spread of severe-acute-respiratory-syndrome-coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19), have badly affected the whole world due to continuous emergence-and-transmission of the latest-new viral-genomes forming new-variants revealing patterns of the SARS-CoV-2 outbreak-and-global-pandemic with badly affecting advanced-medical-science-technology-communication-agriculture-agronomy-plant-breeding-horticulture, health-environment-socio-economy, and different-issues. India's emphasis on okra, the ‘Nature's-Gift to Human-Disease-Free-Healthy-Life’ and the most ‘Economically-Important-Number-One-Consumption Vegetable-Crops’ is destroyed by various-diseases causing pathogens like the root-knot (RK)-diseases caused by the nematodes, <i>Meloidogyne incognita</i> (Kofoid &#x26; White) Chitwood, and easily checked by many chemical-pesticides. But it causes different carcinogenic effects on the environment and our life. So it is an urgent need to develop potential biomedicines. The pretreatments with ultra-high-diluted-biomedicines (UHDBMs) Gall 200C and Nematode 200C, prepared from okra-root-galls (ORG) and nematode-females (NF) respectively, applied by foliar spray@ 20 ml/plant, are highly effective against the root-knot-disease of okra, Abelmoschus esculentus (L.) Moench Cv. Ankur-40, with the increasing growth of plants and fruits-production. The UHDBMs-Gall 200C is more effective than the Nematode 200C. Both the pretreatments-UHDBMs are responsible for induce-systemic-acquired-defense-response of the pretreated-plants through the expression of pathogenesis-related (PR)-proteins-genes (22-14 numbers), which are more or less similar-molecular-range (295kD-11kD) of many coronavirus, which will be responsible for preventing-RK and COVID-19 like virus-diseases by inducing-defense-resistance or increasing innate-immunity respectively, and advanced in medical-science, technology, communication, agriculture, agronomy, plant breeding, horticulture, health, environment, socio-economy, and different application-issues with pollution-free globe, developing new-preventive typical-biomedical vaccines or treatments methods or drug development and research against the ‘21<SUP>st</SUP>-Century Global Pandemic COVID-19 like Any Viral Diseases’ which lead to optimal contributions to the field of policymaking drug and vaccine development emphasizing new or important aspects of the study, and synthetic production of UHDBMs will be more practical implications, and social implications in the future research. And the farmers and the world would be benefitted most; by collecting and uprooting gall-roots after harvesting for cost-effective bio-controlling plant-diseases, and profit from shelling-and-buying of whole plants, fruits, and gall-roots also, and helps for the benefit of global health by developing the most cost-effective, personalized, non-toxic, easily-preparable, easily-maintainable, easily-available and suppliable, vaccines or treatments methods from their own product.

Mucormycosis or black fungus although a rare fungal infection but has potential to be lethal and thus requires immediate treatment. The immune system is weakened due to SARS-CoV-2 and the body becomes susceptible and vulnerable to other infections as people are immune compromised. The immune system becomes weakened due to COVID-19 treatment especially in patients who are taking steroids making the body prone to attack by black fungus. As the black fungus cases are increasing in India, the country is facing shortage in medicaments in face of dual crisis. An epidemic of black fungus is sweeping India in the wake of a severe surge in COVID-19 cases. Experts are of the opinion that the cause is a combination of factors. These factors might include contaminated oxygen equipment and use of steroid drugs to treat certain COVID-19 patients.

Education stratum of India as well as world are worst-hit by Covid-19 and has imposed lockdown originating deleterious effect on academic life. A sheer number of learners ceased moving educational institutions and all pedagogies halted in India. Catastrophe has behaved as a stimulant for the educational institutions to cultivate and choose for platforms with technologies which were previously noviced. Education sector has been challenging to weather the crux with alternative strategy and digitizing the challenges to hoover the menaces of the pandemic. Hypothesis of digital study has prognosis to impact the ventures of higher education for eon. Findings evince that despite digital learning is a nice adventure for little skills, varying illiberalities partake. Learners are crunched and academy also exclusively in unstable job. It has yet to be established the scope whereupon digital study would climactically cover for conventional study. Covid-19 conundrum has divulged prefacing dilemma and disparities clamoring synergetic attempt to contemplate even so pandemic’s approach. This deliberate paper illuminates sparse impeccable education in India and has discussed the positive and negative impacts of Covid-19. The paper also contributes a methodical substantiation of the experience and lessons digested from the impact of the pandemic on the transitional education panorama, and the dissemination and acceptance of e-learning in education. To end, few suggestions along with policy recommendations have been made to meet didactics during the pandemic contingency.