From black to green: Quantifying the impact of economic growth, resource management, and green technologies on CO2 emissions.

In an exploration of environmental concerns, this groundbreaking research delves into the relationship between GDP per capita, coal rents, forest rents, mineral rents, oil rents, natural gas rents, fossil fuels, renewables, environmental tax and environment-related technologies on CO2 emissions in 30 highly emitting countries from 1995 to 2021 using instrumental-variables regression Two-Stage least squares (IV-2SLS) regression and two-step system generalized method of moments (GMM) estimates. Our results indicate a significant positive relationship between economic growth and CO2 emissions across all quantiles, showcasing an EKC with diminishing marginal effects. Coal rents exhibit a statistically significant negative relationship with emissions, particularly in higher quantiles, and mineral rents show a negative association with CO2 emissions in lower and middle quantiles, reinforcing the idea of resource management in emissions reduction. Fossil fuels exert a considerable adverse impact on emissions, with a rising effect in progressive quantiles. Conversely, renewable energy significantly curtails CO2 emissions, with higher impacts in lower quantiles. Environmental tax also mitigates CO2 emissions. Environment-related technologies play a pivotal role in emission reduction, particularly in lower and middle quantiles, emphasizing the need for innovative solutions. These findings provide valuable insights for policymakers, highlighting the importance of tailoring interventions to different emission levels and leveraging diverse strategies for sustainable development.

Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care.

Although health care delivery is becoming increasingly digitized, driven by the pursuit of improved access, equity, efficiency, and effectiveness, progress does not appear to be equally distributed across therapeutic areas. Oncology is renowned for leading innovation in research and in care; digital pathology, digital radiology, real-world data, next-generation sequencing, patient-reported outcomes, and precision approaches driven by complex data and biomarkers are hallmarks of the field. However, remote patient monitoring, decentralized approaches to care and research, "hospital at home," and machine learning techniques have yet to be broadly deployed to improve cancer care. In response, the Digital Medicine Society and Moffitt Cancer Center convened a multistakeholder roundtable discussion to bring together leading experts in cancer care and digital innovation. This viewpoint highlights the findings from these discussions, in which experts agreed that digital innovation is lagging in oncology relative to other therapeutic areas. It reports that this lag is most likely attributed to poor articulation of the challenges in cancer care and research best suited to digital solutions, lack of incentives and support, and missing standardized infrastructure to implement digital innovations. It concludes with suggestions for actions needed to bring the promise of digitization to cancer care to improve lives.

Trends in diversity, equity and inclusion publications in neurological journals: 2015-2020.

BACKGROUND: Contemporary information on health equity related efforts by scientific neurological journals, as measured by publications related to diversity, equity and inclusion (DEI) and health disparities related to social determinants of health (SDH) are lacking. OBJECTIVE: To assess the yearly rates of DEI and SDH related publications in the highest cited general neurology and neurological sub-specialty journals and compare them to the highest cited medical journals over a 6-year period. METHODS: We included publications from 15 general neurology and neurological subspecialty journals between January 1st 2015 to December 31st 2020. For comparison we included the 15 most cited medical journals as measured by H-Index. We performed a PubMed search in each of the listed journals using key MeSH terms. Two-proportions Z-test and chi-square trend analyses were used to compare differences between journal types. RESULTS: Total yearly proportion of DEI and SDH related publications in neurological journals was 3.9% compared to 6.2% in the highest cited medical journals for years 2015 to 2020 (p=0.001). There was no change in overall trend in publications related to DEI and SDH topics in neurological (ρ = -0.082, p=0.45) or highest cited medical journals between 2015 and 2020 (ρ = -0.065, p=0.54). CONCLUSION: Neurological journals had a significantly lower yearly proportion of DEI and SDH related publications compared to top-cited medical journals. Despite heightened awareness of racial/ethnic health disparities and inequities driven by SDH there was no change in related publications in neurological journals between 2015-2020.

Quality Assessment of Sitopaladi Churna Using High-Performance Liquid Chromatography Coupled with Multivariate Analysis.

"Sitopaladi churna," a well-known formulation of Ayurveda, is prescribed to treat the disease like Bronchitis, Pneumonia, allergic conditions, viral infection of the respiratory tract and as a natural antioxidant. A novel method based on reversed-phase high-performance liquid chromatography (RP-HPLC) coupled to photodiode array detector was established and validated for sitopaladi churna. Here, HPLC fingerprints data obtained for 28 samples including standard sample were then treated to chemometric analysis like principal component analysis and hierarchical clustering analysis for further analysis to evaluate the differences in market samples of sitopaladi churna. Additionally, one major marker compound, piperine was quantified and it also facilitated for relative retention time. The simulative mean spectrum was also generated. The validation results showed that the developed method was simple, precise and stable. Thus, the developed chromatographic method adjoined with multivariate analysis can be used as an efficient and practical approach for quality assessment of sitopaladi churna.

A comparative quantitative & qualitative assessment in orthodontic treatment of white spot lesion treated with 3 different commercially available materials - In vitro study.

BACKGROUND: To comparatively evaluate the esthetic improvement of white-spot lesions (WSLs) treated by: BiominF, CPP-ACP paste with fluoride & ICON resin infiltration, using Spectrophotometer & Diagnodent. MATERIAL AND METHODS: The study was done using 72 sound permanent extracted premolars, divided into four groups (18 teeth per group). After taking the ethical approval the study was commenced. WSLs were created on human premolars and randomly assigned to four groups: Group A: Artificial Saliva, Group B: CPP-ACP with fluoride, Group C: BiominF, Group D: Resin infiltration (Icon). The color change (∆E) of each specimen was measured with a Spectrophotometer (VITA Easy Shade Compact), and fluorescence loss (∆Q) was measured by a laser fluorescence device (DIAGNOdent, Kavo, Biberach, Germany), at different time points after treatment: baseline (0 weeks), 2 weeks, 4 weeks, and 6 weeks. RESULTS: The ∆E and ∆Q baseline values for the four groups before the treatments did not differ significantly. Icon treatment improved the WSL color significantly and gave the lowest ∆E (5.12± 3.92) & ∆Q (1.64 ±0.72) compared with other treatments at end of 6 weeks (P< .01). In the BiominF and CPP-ACP with fluoride treatment groups, ∆Q & ∆E showed significant recovery compared with the baseline values (P< .05). CONCLUSIONS: Within the limitations of the study, it can be concluded that all the three remineralizing agents used in the study could effectively remineralize artificial enamel caries and showed improvement in color change and fluoresence as compared to the baseline. Therefore they can be effectively used for the treatment of the white spot lesions. Key words:White spot lesions(WSL), Resin infiltration (ICON), BiominF, CPP-ACP with fluoride.

Assessment of Various Nutritional Parameters in Geriatric Patients Who underwent Different Prosthodontic Treatments.

BACKGROUND: Some relation exists between oral and general health with progressive aging. Certain risk factors are common between oral and systemic diseases. Absence of teeth also affects the oral health by altering the quality of life. Hence, the nutritional changes occurring in elderly patients following prosthodontic rehabilitation are evaluated. MATERIALS AND METHODS: A total of 250 patients who underwent prosthodontic treatment for missing teeth were included for the study. Twice measurement of nutritional parameters was done: Initially at the time of diagnosis and then 5 months following commencement of the prosthodontic treatment. Dental analysis, evaluation of the diet, anthropometric assessment, and analysis of serum biochemical values were done in all the patients and tabulated records were maintained. Independent Student's t test and Tukey's test were done to assess the level of significance. RESULTS: A total of 250 patients were included for the study. The complete denture (CD) group showed the highest alteration in the mean values of the nutritional parameters followed by the removable partial denture group. A significant change was seen in the body mass index, protein, carbohydrate, and iron levels among the different patients who were grouped based on the mode of treatment modality. The CD group showed significantly higher mean change in carbohydrates value compared with mean change in patients receiving fixed treatment. CONCLUSION: Both nutrition and diet form an integral part of the prosthodontic treatment to maintain the health of elderly population. CLINICAL SIGNIFICANCE: With the advancement in the level of edentulism, rehabilitation by prosthetic treatment has become progressively important to restore and improve dietary parameters.