Prescriptive analytics applications in sustainable operations research: conceptual framework and future research challenges.

In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of interest for both academicians and practitioners. As prescriptive analytics has transitioned from its inception to an emerging topic, there is a need to review existing literature in order to ascertain development in this area. There are a very few reviews in the related field but not specifically on the applications of prescriptive analytics in sustainable operations research using content analysis. To address this gap, we performed a review of 147 articles published in peer-reviewed academic journals from 2010 to August 2021. Using content analysis, we have identified the five emerging research themes. Through this study, we aim to contribute to the literature on prescriptive analytics by identifying and proposing emerging research themes and future research directions. Based on our literature review, we propose a conceptual framework for studying the impacts of the adoption of prescriptive analytics and its impact on sustainable supply chain resilience, sustainable supply chain performance and competitive advantage. Finally, the paper acknowledges the managerial implications, theoretical contribution and the limitations of this study.

An international multicenter survey reveals health care providers' knowledge gap in childhood central nervous system tumors.

Childhood central nervous system (CNS) tumors have longer delays in diagnosis than do other pediatric malignancies because health care providers (HCPs) lack awareness about clinical presentation of these tumors. To evaluate the knowledge gap among HCPs, we conducted a global cross-sectional survey. The survey consisted of a set of CNS tumor knowledge questions focused on symptoms, signs, and imaging indications. The survey was disseminated to HCPs via email (November 2018-March 2020). Participants had to complete a pre-test survey, attend an education seminar on CNS tumors, and complete a post-test survey. The knowledge gap was evaluated using pre-test and post-test scores. We received 889 pre-test and 392 post-test responses. Most respondents were from Asia (73.1% of pre-test responses; 87.5% of post-test responses). The median pre-test score was 40.0% (range: 13.1-92.9%). A high percentage of correct answers were given in post-test responses (median score: 77.1%, range: 14.9-98.2%). In the pre-test, 18.7% of participants accurately responded that Cushing's triad was a less common symptom, and 15.0% recognized that children aged > 10 years are at risk of late diagnosis. Surprisingly, 21.9% falsely reported that patients with malignancy experienced the longest pre-diagnostic symptom interval, and 54.5% of respondents wrongly selected medulloblastoma as the most common CNS tumor. Overall, pediatricians demonstrated a greater knowledge gap on both surveys than did other specialties.  Conclusion: Pre- and post-test surveys revealed significant knowledge gaps in childhood CNS tumors among HCPs. Thus, raising professional awareness on clinical presentations of CNS tumors through educational strategies is important to address this knowledge deficit. What is Known: • Diagnostic delay in childhood central nervous system (CNS) tumors continues to be a significant problem that negatively impacts the quality of life and treatment sequelae. • Lack of medical education on CNS tumors is a contributing factor to this problem. What is New: • Most health care providers do not realize that low-grade tumors are the most common neoplasm in children. • Health care providers fail to recognize that teenagers and adolescents are a vulnerable age group for diagnostic delays, with the longest pre-diagnostic symptom interval.

Towards a green economy in Europe: does renewable energy production has asymmetric effects on unemployment?

Renewable energy production is necessary for digital society; it is also beneficial for labor market and sustainable development. This paper examines the impact of renewable energy production on unemployment rate by employing panel NARDL-PMG and robust asymmetric quantile regression for European countries from 1991 to 2019. The results reveal that renewable energy production significantly reduced unemployment in European countries in long run. The renewable energy production effect is found significant in the asymmetric model, specifically, in European countries; a positive change in renewable energy production has a negative significant impact on unemployment, and a negative change in renewable energy production has a positive significant impact on unemployment in long run. The GDP, investment, and technology innovation process are found to be triggered in labor market by reducing the unemployment rate in the long run. In addition, the asymmetric effects of renewable energy production on unemployment growth are robust in the different quantile regression. The findings suggest some insightful policy implications for government officials and policymakers.

Chronic Kidney Disease Increases Cerebral Microbleeds in Mouse and Man.

Brain microbleeds are increased in chronic kidney disease (CKD) and their presence increases risk of cognitive decline and stroke. We examined the interaction between CKD and brain microhemorrhages (the neuropathological substrate of microbleeds) in mouse and cell culture models and studied progression of microbleed burden on serial brain imaging from humans. Mouse studies: Two CKD models were investigated: adenine-induced tubulointerstitial nephritis and surgical 5/6 nephrectomy. Cell culture studies: bEnd.3 mouse brain endothelial cells were grown to confluence, and monolayer integrity was measured after exposure to 5-15% human uremic serum or increasing concentrations of urea. Human studies: Progression of brain microbleeds was evaluated on serial MRI from control, pre-dialysis CKD, and dialysis patients. Microhemorrhages were increased 2-2.5-fold in mice with CKD independent of higher blood pressure in the 5/6 nephrectomy model. IgG staining was increased in CKD animals, consistent with increased blood-brain barrier permeability. Incubation of bEnd.3 cells with uremic serum or elevated urea produced a dose-dependent drop in trans-endothelial electrical resistance. Elevated urea induced actin cytoskeleton derangements and decreased claudin-5 expression. In human subjects, prevalence of microbleeds was 50% in both CKD cohorts compared with 10% in age-matched controls. More patients in the dialysis cohort had increased microbleeds on follow-up MRI after 1.5 years. CKD disrupts the blood-brain barrier and increases brain microhemorrhages in mice and microbleeds in humans. Elevated urea alters the actin cytoskeleton and tight junction proteins in cultured endothelial cells, suggesting that these mechanisms explain (at least in part) the microhemorrhages and microbleeds observed in the animal and human studies.