Heterogeneity of Harmful Constituent Profiles in Smokeless Tobacco Products from Five African Countries.

Addictive, toxic, and carcinogenic constituents present in smokeless tobacco (SLT) products are responsible for the harmful effects associated with SLT use. There are limited data on levels of such constituents in SLT products used in Africa, a region with high prevalence of SLT use and the associated morbidity and mortality. Manufactured and custom-made SLT products were purchased from five African countries (South Africa, Uganda, Mauritania, Nigeria, and Zambia) using a standard approach for sample collection, labeling, and storage. Moisture content, pH, total and unprotonated (biologically available) nicotine, five tobacco-specific N-nitrosamines (TSNA), 10 polycyclic aromatic hydrocarbons (PAH), five metals and metalloids (As, Cd, Cr, Ni, and Pb), nitrate, and nitrite were analyzed. A total of 54 samples representing 15 varieties of manufactured SLT products and 13 varieties of custom-made SLT products were purchased and analyzed. In all samples, the total nicotine ranged from 1.6 to 20.5 mg/g product and unprotonated nicotine accounted for 5.3-99.6% of the total nicotine content. The sum of all five TSNA ranged from 1.6 to 100 µg/g product, with significant within-country variations observed across both the manufactured and custom-made varieties. Significant variations were also found for PAH, metals and metalloids, nitrates, and nitrites. This is the most comprehensive report on the chemical profiling of products from African countries. This is also the first study illustrating the variability of harmful constituents within the same types and brands of African SLT. Our findings emphasize the need for consumer education and interventions to reduce SLT use in Africa. The data reported here can be useful to regulators in considering measures to prevent the occurrence of high levels of known toxicants and carcinogens in manufactured products.

Evaluation of Osteogenic Potential of Fucoidan Containing Chitosan Hydrogel in the Treatment of Periodontal Intra-Bony Defects-A Randomized Clinical Trial.

Periodontal diseases significantly impact about half of the global population, and their treatment often encompasses relieving symptoms as well as regenerating the destroyed tissues. Revolutionary research in the management of periodontal disease includes biomaterials, a boon to re-generative dentistry owing to their excellent biological properties: non-toxicity, anti-inflammatory, biocompatibility, biodegradability, and adhesion. This study aimed to fabricate an injectable fucoidan containing chitosan hydrogel and prove its effectiveness in periodontal bone regeneration. The injectable hydrogel was prepared using the sol-gel method and was subjected to various physical, chemical, and biological characterizations to understand its efficacy in formation of new bone. The effectiveness of the developed hydrogel was assessed in periodontal bony defects to study the soft and hard tissue changes. A total of 40 periodontitis patients with bony defects were recruited and randomized into two groups to receive fucoidan-chitosan hydrogel and concentrated growth factor, respectively. Customized acrylic stents were used to guide the hydrogel placement into the defect site. Post-surgical changes in clinical parameters were assessed at 3, 6, and 9 months to appreciate the soft and hard tissue changes using repeated measures analysis of variance and Bonferroni's post hoc test. Significance was kept at 5%. The porosity, water uptake of the prepared hydrogel showed good efficacy, with particle size of the fucoidan containing chitosan hydrogel of 6.000 nm. The MG-63 osteoblasts cell line revealed biocompatibility, biodegradability and showed slow and sustained drug release, increased cell proliferation, and enhanced alkaline phosphatase secretion. Mineralization assay was greatest in the fucoidan containing chitosan hydrogel. Clinically, it exhibited significantly lower probing depth values and a higher mean improvement in clinical attachment level as compared to the concentrated growth factor (CGF) group at the end of 3 and 6 months (p < 0.05). The mean of the defect fills in the fucoidan containing chitosan group was 1.20 at the end of 9 months (p < 0.001) as compared with defect fills observed in the CGF group. The presence of fucoidan in the hydrogel significantly contributed to bone regeneration in humans, thus strengthening its potential in tissue engineering. Fucoidan-chitosan will be a promising biomaterial for bone tissue regeneration.

Impact of technology on the relation between disaggregated energy consumption and CO2 emission in populous countries of Asia.

All around the world, but particularly in developing nations, carbon dioxide emissions are on the rise, and climate change and global warming are brought on by an increase in CO2 emissions. This article provides an overview of the technological effect on energy consumption in the residential, transport, and industrial sector and its ultimate effect on the environment. Using the STIRPAT-Kaya-EKC model for the years 1990 to 2020, this study looked at the threshold impact of technological advancements on the link between disaggregated energy use and CO2 emissions for a panel of 10 Asian countries using the panel threshold regression. Findings demonstrate that the EKC phenomenon is present in the chosen Asian region. Findings also suggest that technology has a threshold influence on the relationship between energy use and carbon emissions; however, this effect varies across sectors.

The dynamic relationship between green tax incentives and environmental protection.

The purpose of this study is to examine the impact of green tax incentives such as investment tax credit and taxable income deductions related to the environmental sustainability and climate change which are becoming more popular in developing countries, whereas introducing green tax incentives related to the environment and climate change helps and meets the sustainability objectives of growth and development. For this purpose, we selected the top 100 listed companies on the Swedish stock market (SSM), Nasdaq Stockholm (SN), in order to better understand the real facts and figures of green tax environment. This study uses a longitudinal research design because sample observations vary across firms and over a short time and conducts probit and logistic regression to identify the beneficiaries of the tax incentives. The findings show that different firm-level characteristics significantly impact the probability of being an ITC beneficiary.

Senescence in oral lichen planus as assessed by the immunohistochemical evaluation of senescence marker protein-30 (Regucalcin).

Background: Oral lichen planus is a T-cell-mediated chronic inflammatory disease affecting approximately 1% to 2% of the population, the etiology of which is currently unknown. The objectives of this study were to observe if senescence occurs in oral lichen planus, through the assessment of the immunohistochemical expression of a novel marker for senescence called Senescence marker protein-30 or regucalcin, and compare the expression to that in oral lichenoid reaction and non-specific inflammation. Subjects and Methods: The study material consisted of 30 cases of oral lichen planus, 15 cases of oral lichenoid reaction and 15 cases of non-specific inflammation. The number of positive cells in ten randomly selected high power fields were counted in the epithelium and the connective tissue separately and the mean was determined. Results: Mann-Whitney U test was used to statistically analyze if there was any significant difference in the expression of Senescence marker protein-30 between oral lichen planus, oral lichenoid reaction and non-specific inflammation. Even though a greater expression was seen in the oral lichen planus cases than oral lichenoid reaction, the difference in both the epithelium and connective tissue was not statistically significant. Conclusion: This study shows that in addition to the already known mechanisms like apoptosis and increased cell proliferation rates, the activated T-lymphocytes may also trigger a senescent change in the cells of oral lichen planus. As with the other mechanisms, this is also seen only in a small proportion of the cases.

Do drivers of renewable energy consumption matter for BRICS economies? Nexus among technological innovation, environmental degradation, economic growth, and income inequality.

In light of increasing concerns about climate change and energy security, renewable energy has been seen as the most promising solution to fulfil future energy needs. This study examines the drivers of renewable energy consumption (REC) and the nexus between GDP growth, technological innovation, gross fixed capital formation, CO2 emissions, income inequality, and renewable energy consumption (REC) using annual data from BRICS countries. To this end, the study uses the augmented mean group (AMG) estimator, a second-generation estimator that takes slope homogeneity and cross-sectional dependence into consideration. For robustness, the pooled mean group (PMG) estimator has also been utilized. The findings of both estimators indicate that carbon emissions, technological innovation, and gross fixed capital formation exert adverse and significant impacts on REC. The findings also show that the use of renewable energy will rise as income inequality declines. We also employ the Dumitrescu and Hurlin (DH) granger causality test. The results of the analysis demonstrate a one-way causal association between income inequality and REC. This finding confirms that a reduction in income inequality will have a major impact on the adoption of renewable energy sources.

Ensemble hybrid model for Hindi COVID-19 text classification with metaheuristic optimization algorithm.

A SARS-CoV-2 virus has spread around the globe since March 2020. Millions of people infected worldwide with coronavirus. People from every country expressed their sentiments about coronavirus on social media. The aim of this work is to determine the general public opinion of Indian Twitter users about coronavirus. The Hindi tweets posted about COVID-19 is used as input data for sentiment analysis. The natural language processing is applied on input data for feature extraction. Further, the optimal features are selected from the pre-processed data using the metaheuristic based Grey wolf optimization technique. Finally, a hybrid of convolution neural network(CNN) and a long short-term memory (LSTM) model pair is employed to categorize the sentiments as positive, negative, and neutral. The outcome of the proposed model is compared with other machine learning techniques, namely, Random Forest, Decision Tree, K-Nearest Neighbor, Naive Bayes, Support vector machine (SVM), CNN, LSTM, LSTM-CNN, and CNN-LSTM. The highest accuracy of 87.75%, 88.41%, 87.89%, 85.54%, 89.11%, 91.46%, 88.72%, 91.54%, and 92.34% is obtained by Random Forest, Decision Tree, K-Nearest Neighbor, Naive Bayes, SVM, CNN, LSTM, LSTM-CNN, and CNN-LSTM, respectively. The proposed ensemble hybrid model gives the highest 95.54%, 91.44%, 89.63%, and 90.87% classification accuracy, precision, recall, and F-score, respectively.

Post-COVID-19 investor psychology and individual investment decision: A moderating role of information availability.

This study aims to investigate the influence of psychological biases on the investment decision of Chinese individual investors after the pandemic of COVID-19 with a moderating role of information availability. A cross-sectional method with a quantitative research approach was employed to investigate the hypothesized relationships among variables. The snowball sampling technique was applied to collect the data through a survey questionnaire from individual investors investing in the Chinese stock market. Smart-PLS statistical software was used to analyze the data and for the estimation of hypotheses. Results indicated that overconfidence, representative bias, and anchoring bias have a significant and positive influence on investment decisions during the post-Covid-19 pandemic; however, the availability bias has insignificant and negative effects on the investment decision during the post-COVID-19 pandemic. Moreover, findings indicated that information availability has a significant moderating role in the relationship of psychological biases with the investment decision during the post-COVID-19 pandemic. This study contributes to the body of knowledge regarding behavior finance, psychological biases, and investment decision in emerging stock markets. The findings of the present study improve the understanding that how investors' psychology affects their investment decisions.

The relationship between staple food crops consumption and its impact on total factor productivity: does green economy matter?

The agriculture sector is a key driver of economic growth and provides employment opportunities across the globe generally. However, in today's world, agricultural product demand is more influenced by taste, prices, and nutritional value due to climatic variation. The study has analyzed the current situation grain productivity by using the data of farm inputs and major grain crops of Pakistan from (1960-2020). The study consists of a two-stage analysis in the first stage, the total factor productivity (TFP) variable is obtained by using the parametric Tornqvisit-Theil index output-input-aggregation method separately for each crop; rice, maize, and wheat. After that, the unit root test is used to check the stationarity and trend of the variables in the long run. Subsequently, the autoregressive distributed lag (ARDL) model is applied to check the existence of cointegration in the long run and short run among the variables. The results of the study disclosed that the consumption of rice has a positive relationship with its total factor productivity, but, wheat and maize have a negative long-run cointegration relationship with the respective productivities. The study results have shown that the consumption pattern of staple crops has substantially changed, due to climatic variation, and the current food consumption trend is revealing new dimensions and trends owing to variation in climate change and anthropogenic pressure which demands to adapt climate resilient farm practices.

Does green environmental innovation really matter for carbon-free economy? Nexus among green technological innovation, green international trade, and green power generation.

This study examines the association among the green energy production (GEP), green technological innovation (GTI), and green international trade (GIT) on the ecological footprints (EFP). In addition, this research applies fully modified least square (FMOLS) to estimate the empirical outcomes, while dynamic least square (DOLS) is used to check the robustness of the outcomes. Although, the selection of the assessment technique depends on the order of integration of the selected series. Before estimation, some diagnostic tests are also performed to ensure the reliability of the data set. Furthermore, the empirical outcomes of the present analysis are twofold: at begin, this research discovered a negative relationship between GEP and EFP. Secondly, this research reveals that GTI has also an adverse impact on EFP along with GIT, which is unsurprising. Results imply that advancement in green technological innovations tends to improve the EQ by reducing the level of EFP.

Photoredox Hydroxy-arylation of the Terminal Double Bond of N-Substituted 3-Methyleneisoindolin-1-ones in Visible Light.

Mild and efficient ruthenium-catalyzed hydroxy-arylation of the terminal double bond of N-substituted 3-methyleneisoindolin-1-ones is described. The reaction takes place with aryl diazonium salt as the arylating reagent and water as the hydroxyl source in visible light at ambient temperature. The strategy entails vicinal difunctionalization of alkene and enables construction of 3-benzyl-3-hydroxyisoindolin-1-one heterocyclic scaffolds in moderate to good yields. C-C and C-O bonds are formed in one pot without any external additive and oxidant through an in situ generation of a carbocation intermediate in green light.

Does environmental sustainability affect the renewable energy consumption? Nexus among trade openness, CO2 emissions, income inequality, renewable energy, and economic growth in OECD countries.

This study investigates the impact of carbon emissions, real oil prices, income inequality, economic growth, and trade openness on renewable energy consumption (REC) in twenty-three (23) OECD economies. The study employs the Westerlund panel cointegration technique to verify the existence of long-run equilibrium and the Augmented Mean Group (AMG) estimator to assess the long-run relationship between the variables, which allows for slope heterogeneity and cross-sectional dependency. Moreover, the panel causality test of Dumitrescu and Hurlin (DH) is utilized to gauge the causal relationship between the variables. The findings of our study reveal that REC is positively related to economic growth, real oil prices, income inequality, and trade openness, but negatively related to CO2 emissions in OECD countries. In addition, there is one-way causality from GDP per capita to renewable energy consumption and a bidirectional causality between income inequality and REC. Furthermore, the results indicate that OECD policymakers and governments should regard foreign trade as a "clean energy fostering mechanism" while developing energy demand policies that are environmentally friendly.

Phytomedicines explored under in vitro and in silico studies against coronavirus: An opportunity to develop traditional medicines.

The widespread COVID-19 pandemic, caused by novel coronavirus SARS-CoV-2, has emanated as one of the most life-threatening transmissible diseases. Currently, the repurposed drugs such as remdesivir, azithromycine, chloroquine, and hydroxychloroquine are being employed in the management of COVID-19 but their adverse effects are a matter of concern. In this regard, alternative treatment options i.e., traditional medicine, medicinal plants, and their phytochemicals, which exhibit significant therapeutic efficacy and show a low toxicity profile, are being explored. The current review aims at unraveling the promising medicinal plants, phytochemicals, and traditional medicines against SARS-CoV-2 to discover phytomedicines for the management of COVID-19 on the basis of their potent antiviral activities against coronaviruses, as demonstrated in various biochemical and computational chemical biology studies. The review consists of integrative and updated information on the potential traditional medicines against COVID-19 and will facilitate researchers to develop traditional medicines for the management of COVID-19.

Evaluation of Platelet-Rich Fibrin Matrix as a Regenerative Material in the Surgical Management of Human Periodontal Intraosseous Defects - A Randomized Controlled Trial.

Background: Platelet-rich fibrin matrix (PRFM) has not been extensively studied as other platelet concentrates such as Choukron's platelet-rich fibrin (PRF). This randomized controlled trial aimed to evaluate PRFM regenerative ability in human periodontal intrabony defects. Materials and Methods: Fifteen patients (age: 30-55 years) having probing pocket depth (PPD) ≥6 mm, and radiographic evidence of bilateral vertical intrabony defects were recruited. A split-mouth design was used in each patient; one quadrant of the arch was treated with open flap debridement (OFD) alone (control group) and the other quadrant with OFD + PRFM (test group). The PRFM was prepared by dual-spin technology using a patented thixotropic separator gel. Outcome measures comprising plaque index, gingival index (GI), PPD, clinical attachment level (CAL), depth of the defect, defect fill (DF), and percentage of DF (PDF) were recorded at baseline, after 3 months and 6 months. The parameters were applicably analyzed using the Friedman test, Fisher's exact test, t-test, paired t-test, repeated measures ANOVA, and Post Hoc-Bonferroni correction. Results: The GI, a net reduction in CAL, and PPD of the test group were significantly better than the control group at 3 months and 6 months (P < 0.05), while DF and PDF showed significant results at 6 months (P < 0.05). A consistent early wound healing index of 1 at 1 week was displayed in the test group (66.7%) in comparison to the control group (33.7%). Conclusion: PRFM can be a clinically significant periodontal regenerative material in the treatment of vertical intraosseous defects.

Impact of COVID-19 pandemic on the livelihood of employees in different sectors.

Employee loyalty is a complex, multifaceted construct that has been defined through numerous perspectives, including philosophical and psychological. This article, we studied the impact of wage recession on employee loyalty, the same was studied by Linz et al, 2013. We decided to study employee loyalty during this pandemic period. Based on this the study objectives are framed to determine the various dimensions of employee loyalty, the impact of wage recession on loyalty and problems faced by employees those who work from home. The study population is college teachers and ITians. In these two sectors adopted a change in their working mode (i.e work from home) and faced wage recession. ITians don't face many issues since it is not new for them but for the teaching community, work from home is an entirely new concept. Teachers try to learn to work in a new platform like google meet, zoom app, cisco Webex meet and give assignments online and conduct exams in virtual mode, leading them to prepare themselves for a changing environment. The work from home created more stress for teachers but for ITians the family intervention and network issues created more stress. Apart from these issues, the employer also reduces the payment from 10% to 50%. Both are the major contributors of employee loyalty. A questionnaire was designed based on the suggestions of HR managers. The data was collected through the virtual mode from 96 professors and 74 ITians in and around Chennai. We measured the key factors which affect employee loyalty like salary, treatment by organization, career focus, job involvement, job satisfaction, wellbeing and work recognition. The study findings revealed that pay reduction does not affect loyalty much. Lack of communication creates more work stress among the employees. This virtual mode of working increased more working hours and responsibility but poor recognition by employers. Our study results reveal that most of the respondents have moderate loyalty and if the work of employees continues to be unrecognized which may decrease the loyalty in future.

Revealing the effectiveness of technological innovation shocks on CO2 emissions in BRICS: emerging challenges and implications.

The debate on technological innovation shocks and its effect on the environment are of great interest to academicians and environmentalists worldwide. At present, primary focus of this research is to investigate the asymmetric technology shocks and its impact on CO2 emissions for BRICS economies. The linear and non-linear panel ARDL models are applied to compute both short-run and long-run dynamics of technology shocks and CO2 emissions. Asymmetric estimates confer that a positive shock in patents reduces the CO2 emissions by 0.418%, whereas negative shock increases the CO2 emissions by 0.854%. Contrariwise, the trademark positive shock increases the carbon emissions by 0.416% and vice versa. The non-linear analysis provides an opportunity to measure the direction and magnitude of positive and negative shocks in technology on the environmental quality of BRICS economies. Hence, policymakers and environmentalists should devise their strategies by keeping in mind the impacts of positive and negative shocks.

Emergency Preparedness and Modish Practices among Primary Healthcare Delivery Systems Facilitated through Public-private Partnership Models in a South Indian Metropolitan City: A Descriptive Cross-sectional Study.

Background and aim: Access to health care is supposed to be a basic human right but the present scenario of the healthcare sector in India displays a large disparity in the healthcare services provided by the public and private sectors with wide variations in the infrastructure and services delivered by both sectors. Hence, public-private partnership (PPP) in healthcare delivery is an urgent and essential component that needs attention to ameliorate this gap. The aim of this study was to assess the current practices in healthcare services provided through PPPs in Bengaluru city. Materials and methods: A cross-sectional questionnaire survey was conducted among primary healthcare centers (PHC) run under PPP in Bengaluru city, Karnataka, India. The pretested self-designed structured questionnaire consisted of 18 items regarding the current practices of PPP at the primary healthcare level. Descriptive statistics were used to describe the data. Results: A total of 15 PPPs at the primary healthcare level were identified and included in the study. All of the participants provided basic healthcare services, some participants (33%) provided specialized services, and some (27%) mobile healthcare services. The overall impression of the medical officers in charge interviewed was that PPPs are better than individual endeavors by both public and private sectors. They also believed that it was important to have policies and guidelines in place to monitors aspects like the functioning of the setup, risk sharing, etc. Conclusion: The results indicated that all the participants were at the primary healthcare level and mostly involved in preventive practices. It is also important to look at venturing into services that provide curative services as well. Oral health, however, did not prominently feature at any point and is another area that requires attention. How to cite this article: Mukherji I, Eshwar S, Srivastava BK, et al. Emergency Preparedness and Modish Practices among Primary Healthcare Delivery Systems Facilitated through Public-private Partnership Models in a South Indian Metropolitan City: A Descriptive Cross-sectional Study. Int J Clin Pediatr Dent 2022;15(2):153-158.

Can money supply endogeneity influence bank stock returns? A case study of South Asian economies.

This study tests the Post-Keynesian theory regarding bank stock returns and money supply endogeneity in the context of South Asian countries. This study uses panel data set from different sources over twenty-eight (28) years. The research uses different econometric techniques before switching to the generalized method of moments (GMM). The empirical results indicate a significant positive effect of net interest rate margins on bank loans in South Asian countries, whereas a positive relationship exists between foreign to local interest rates and the money supply. The findings depict that positive associations exist between inflation and money supply of banks, and between the money supply and bank stock returns. More specifically, the GMM results show that the money supply has positively affected the stock prices of banks suggesting strong policies for the stakeholders of these economies for the sake of economic growth and sustainable development.

Application of Willems Method as an Age Estimator in Early Adolescents of Bangalore Population.

INTRODUCTION: Dental age (DA) assessment is a reliable method for chronological age (CA) estimation used for criminal, forensic, and anthropologic purposes. Age estimation also provides valuable information when the birth date is unavailable, as in case of migrants. Furthermore, the CA of living people is important for employment and marriage purpose. OBJECTIVES: The aim of the present study is to check the reliability of the Willems method in the population of Bangalore. MATERIALS AND METHODS: The study was conducted on 205 (109 boys and 96 girls) participants by their radiographic records in the department of forensic odontology using modified Demirjian's method by Willem et al. RESULTS: A total of 205 subjects were selected for the study, among which 109 (53.2%) were boys and 96 (46.8%) were girls. The mean CA was 12.23 ± 1.75 and the mean DA was 12.20 ± 1.99. Willems method seems to be reliable in estimating DA in Bangalore populations. CONCLUSION: This study showed that the Willems method gave near precise estimation of the CA.

Controlling environmental pollution: dynamic role of fiscal decentralization in CO2 emission in Asian economies.

The "environment" has become one of the important and debatable topics of the world and policymakers identifying the new predictors of CO2 emissions. Therefore, some economies have been promoting fiscal decentralization to encourage environmental quality by granting more financial autonomy to provincial and sub-national governments. Therefore, this study evaluates the dynamic effect of fiscal decentralization on CO2 in selected nine Asian economies using a fresh dynamic panel ARDL model from 1984 to 2017. The empirical findings show that fiscal decentralization has asymmetric effects on CO2 emissions because a positive change in revenue and expenditure decentralization reduced CO2 emissions in Asia. Moreover, a negative change in expenditure decentralization has also enhanced CO2 emissions in the long run. Thus, clean environmental policies and recommendations can be revised and proposed based on nonlinear findings in the modern era.