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Purpose This paper aims to explore the role of digital financial inclusion (DFI) in stabilizing the Islamic banking sector amidst the current COVID-19 pandemic. Design/methodology/approach This study has used the Panel-Corrected Standard Errors (PCSE), Two-Stage Panel Least Squares-Instrumental Variables (2SLS-IV) and Two-Step System Generalized Method of Moments (2SGMM) dynamic panel estimation method to investigate the DFI-Islamic banking stability nexus using an unbalanced panel data of 65 Islamic banks from six countries over the period 2011–2020. Findings The result suggests that greater implementation of DFI promotes Islamic banking stability, which reduces the default risk of the banks in the studied region. Consequently, incorporating DFI into the Islamic banking sector encourages inclusive economic growth that can keep the financial sector sustainable even in a crisis period like the current COVID-19 pandemic. Originality/value Unlike previous studies, the authors have focused mainly on DFI and the Islamic banking sector. This is one of the first to explore how DFI contribute to the stability and productivity of the Islamic banking sector during the pandemic. Also, this study provides fresh evidence on how the supply and demand side of DFI impact Islamic banking stability.

The poverty reduction and financial inclusion of Sustainable Development Goals (SDG) by 2030 can be significantly facilitated by the microfinance industry. However, it is pertinent to assess the sustainability of microfinance institutions (MFIs) in serving this purpose. The estimation of productivity of MFIs in Bangladesh gives a glimpse of their ability to fulfil the dual objectives of financial sustainability and social outreach. Hence, this study aims to measure the productivity of MFIs in Bangladesh using secondary data obtained from the Microfinance Information Exchange (MIX) market. The study employs Malmquist Productivity Index (MPI), which is an extension of the Data Envelopment Analysis (DEA) to estimate the overall, social and financial productivities of 26 MFIs in Bangladesh during the period from 2009 to 2018. In general, this study revealed that majority of the MFIs’ overall productivity score varies between 0.9 and 1.20. Moreover, we observed that the social and financial productivities of MFIs in Bangladesh progressed during the entire study period, except for the years 2011 and 2017. This development may be attributed to the average growth in catch-up and technological effect witnessed during the study period. The study has also applied sensitivity analysis by changing the output to evaluate the robustness of the overall productivity results; consequently, the new estimates followed a similar pattern (mostly) and further corroborate the outcomes of this study. JEL Classifications: C14, O43, G21

Purpose This paper aims to investigate how digital financial inclusion (DFI) can be a potential factor to maintain banking stability in Association of Southeast Asian Nations (ASEAN) countries and whether the relationship could bring a possible implication for the post-Covid-19 pandemic era. Design/methodology/approach Using an unbalanced panel data of 213 banks of 4 ASEAN countries, the study has deployed principal component analysis, ordinary least square, two-step dynamic system generalised method of moments and panel corrected standard errors techniques. Findings The empirical study finds that the full-fledged application of DFI accelerates the ASEAN banking stability which not only decreases the default risk of the banks but also upturns the financial mobility in the region. The results also suggest that ASEAN banks are, with the implementation of DFI, likely to uphold the banking sector stability by reducing liquidity crisis and non-performing loans during and in the post-Covid-19 era. Therefore, accelerating digital finance in ASEAN countries is considered as one of the significant means for the banking sector stability that subsequently leads to economic and financial resilience even in the face of any crises. Originality/value Prevailing studies have mostly investigated the association between financial inclusion and banking stability in different contexts. However, this study is unique to empirically investigate the association between DFI and the ASEAN banking stability.

The coronavirus disease 2019 (COVID-19) pandemic has triggered a worldwide unprecedented public health crisis. Initially, COVID-19 was considered a disease of the respiratory system, as fever and at least one respiratory symptom was used to identify a suspected COVID-19 case. But there are now numerous reports of COVID-19 patients presenting with myriads of extrapulmonary symptoms, however, a substantial number of patients are asymptomatic. Additionally, there are significant clinical and epidemiological variations of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection across different geographical locations. The updated research, thus, challenges the existing surveillance system that is mainly based on fever and respiratory symptoms. As countries are coming out of lockdown to save economic fallout, a revised surveillance strategy is required to effectively identify and isolate the infected patients. Besides, since developing countries are becoming the new epicenters of pandemic and there are limited resources for RT-PCR based tests, documenting the clinical spectrum can play a vital role in the syndromic clinical diagnosis of COVID-19. A plethora of atypical symptoms also aids in guiding better treatment and remains as a source for further research. It is, therefore, crucial to understand the common and uncommon clinical manifestations of SARS-COV-2 infection and its variability across different geographic regions.

The COVID-19 pandemic has inflicted the global economy and caused substantial financial losses. The energy sector was heavily affected and resulted in energy prices massively tumbling. The Russian invasion of Ukraine has fueled the energy maker more volatile. In such uncertain contexts, an Early Warning System (EWS) would efficiently contribute to stabilizing market swings. It will leverage the ability to control operating costs and pave the way for smooth economic recovery. Within this framework, we deploy Machine Learning (ML) models to forecast energy equity prices by employing uncertainty indices as a proxy for predicting energy market volatility. We empirically examine the comparative effectiveness of prevalent ML models and conventional approaches (regression) to forecast the energy equity prices by utilizing the daily data from 1/6/2011 to 18/1/2022 for four US uncertainty and eight energy equity indices. Results show that the Nonlinear Autoregressive with External (Exogenous) parameters (NARX) of Neural Networks (NN) scored significantly better accuracy than all other (25) ML models and conventional approaches. The study outcomes are beneficial for policymakers, governments, market regulators, investors, hedge and mutual funds, and corporations. They improve stakeholders' resilience to exogenous shocks, blaze the recovery path, and provide evidence-based for assets allocation strategies.

Purpose World legends and the scientific community have taken the devastating impact of poverty issue seriously which has been reflected in the growing trend of research in this area. Hence, this paper aims to conduct a bibliometric analysis on poverty alleviation literature, discuss the various dimensions of poverty alleviation and deliver some ideas for future research. Design/methodology/approach This study deploys a combined quali-quantitative method familiar as meta-literature review on 454 articles collected from the Web of Science (WoS) database with Social Science Citation Index (SSCI) coverage over the period 1971–2020. Using Rstudio, VOSviewer and Excel, the collected data have been analysed from different lenses. Findings This study considers the most contributing scientific actors like authors, journals, topics, institutions and countries as parameters for analysing articles. Based on the analysis from various perspectives, it determines five main research streams upon which it provides some potential research directions to be considered in future research. Research limitations/implications This study solely relies on the articles available in the WoS database with index in SSCI. However, it excludes analysing thousands of articles on the same topic available in other platforms. Originality/value This study provides a retrospective on the scientific works and collective efforts of scholars germane to poverty alleviation from the highest ranked journals, which would help better understand the literature development and the intellectual structure of this field.

Covid-19 has significantly changed the lives of millions of people worldwide, especially university students. The pandemic has a strong influence on university students, all of whom are concerned about their future. This paper addresses the issue of the impact of the pandemic on final-year internship students. The work’s goal is to illustrate how Covid-19 outbreaks in the last year have influenced final-year internship university students and their internships, internship opportunities, career prospects, psychological well-being, and motivation. The Covid-19 impact is so huge on education. The purpose of this study is to show how it hampers a specific sector, like university final year internship students. In the future, if anybody wants to know the situation of intern students at universities, they will get to know it. The work aims to examine and classify the fundamental problems that final year students have faced in finding an internship during the Covid-19 pandemic period, the obstacles they face in finding an internship, how universities help their students, how students get internships, why internship opportunities are getting limited, and how students overcome obstacles in finding an internship. To complete this research, first, we chose around 25 questions and worked on them to survey different university students in Bangladesh. The research was performed using reviews of different research papers and a survey approach. The survey has been developed using the Google Forms platform. Three hundred students who are currently studying at public and private universities in Bangladesh participated in the study. Students have been asked to answer 25 questions online. The data was evaluated concretely. Most of those students were from the last semester or last year of their university life. And in the end, we finally came to a conclusion about how the research worked. It creates a scenario where over 300 students have shared their thoughts on each aspect of the research questions. Whether they suffer or not, most of them find it pretty difficult to complete their internship because most of the participants were university final year students, and after completing all the research, the results can be written as if there was no situation like this, it would be much easier and more convenient for all the final year university interns.

With the continued spread of COVID-19 across the world, rapid diagnostic tools, readily available respurposable drugs, and prompt containment measures to control the SARS-CoV-2 infection are of paramount importance. Examples of recent advances in diagnostic tests are CRISPR technology, IgG assay, spike protein detection, and use of artificial intelligence. The gold standard reverse transcription polymerase chain (RT-PCR) has also been upgraded with point-of-care rapid tests. Supportive treatment, mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) remain the primary choice, while therapeutic options include antivirals, antiparasitics, anti-inflammatories, interferon, convalescent plasma, monoclonal antibody, hyperimmunoglobulin, RNAi, and mesenchymal stem cell therapy. Different types of vaccines such as RNA, DNA, and lentiviral, inactivated, and viral vector are in clinical trials. Moreover, rapidly deployable and easy-to-transport innovative vaccine delivery systems are also in development. As countries have started easing down on the lockdown measures, the chance for a second wave of infection demands strict and rational control policies to keep fatalities minimized. An improved understanding of the advances in diagnostic tools, treatments, vaccines, and control measures for COVID-19 can provide references for further research and aid better containment strategies.

Efficient purification is crucial to providing large quantities of recombinant therapeutic proteins, such as monoclonal antibodies and cytokines. However, affinity techniques for manufacturing protein therapeutics that use biomolecule-conjugated agarose beads that harness specific biomolecular interactions suffer from issues related to protein denaturation, contamination and the need to maintain biomolecule-specific conditions for efficient protein capture. Here, we report a versatile and scalable method for the purification of recombinant protein therapeutics. The method exploits the high-affinity and controllable host–guest interactions between cucurbit[7]uril (CB[7]) and selected guests such as adamantylammonium. We show that the Herceptin (the brand name of trastuzumab, a monoclonal antibody drug used to treat breast cancer) and the much smaller cytokine interferon α-2a can be purified by site-specifically tagging them with adamantylammonium using the enzyme sortase A, followed by high-affinity binding with CB[7]-conjugated agarose beads and the recovery of the protein using a guest with a stronger affinity for CB[7]. The thermal and chemical stability of CB[7] beads and their scalability, recyclability and low cost may also make them advantageous for the manufacturing of biosimilars. The high-affinity and controllable host–guest interactions between cucurbit[7]uril and selected guests enables a versatile and scalable method for the purification of recombinant protein therapeutics.

Considering the reverberations of financial crisis of 2007–09 that the banking industry terribly witnessed, this paper aims to estimate both the non-bias-corrected and bias-corrected efficiency by employing the data envelopment analysis and Simar–Wilson double bootstrapping regression techniques over the period of 2011–2017 and see how the financial inclusion impacts on Islamic banks. This study finds that most of the countries, except some Asian and Middle-Eastern countries, have inconsistent efficiency trends in Islamic banking sector. It also shows that financial inclusion is significantly allied with Islamic banking efficiency. Eventually, the results propose that Islamic banks are still bearing the consequence of that economic recession and, therefore, bank should focus more on financial inclusion since those banks having sound and inclusive financial environment are seen enjoying higher level of financial efficiency.

BackgroundAccidental poisoning is a leading cause of unintentional injuries among children in low-income and middle-income countries (LMICs). The overall aspect of this unintentional poisoning is poorly understood in Bangladesh. The objectives of this study were (1) to explore the socio-demographic factors and circumstantial context of accidental poisoning and (2) the prevalence of the type of substances causing it.MethodsA descriptive case series study was conducted from April 2019 to February 2020 at a tertiary level hospital of the capital city Dhaka in Bangladesh. Children under 10 years of age admitted to the hospital with accidental poisoning were enrolled in this study. Parents of hospitalised children were interviewed face-to-face using a structured questionnaire. Descriptive statistics were used for data analysis.ResultsA total of 223 children were recruited in this study. Children between 2 and 5 years (60%), men (61%) and children with agility (65.5%) were among the prevalent victims. The majority of cases occurred (65%) in a nuclear family setting. Most mothers (85%) of these children were non-working and most incidents took place in parents’ homes (~82%). Nearly 70% of the poisoning incidents took place in the presence of parents and over half of these occurred in the bedroom. Kerosene was the prevalent cause (33%) of accidental poisoning while insecticide/pesticide ranked second (26.5%) followed by medicines (17%) and household chemicals (12). In one-third (31.4%) of the cases, poisoning chemicals were stored in soft drink bottles while two-thirds (67.3%) of the cases were kept in containers other than original ones. Although over 80 parents somewhat knew that chemicals could be harmful to the children if ingested, most of them did not take the safety measures.ConclusionIn this present study we found that preschool-aged children were more victims of accidental poisoning mostly by ingesting kerosene and a majority of the incidents took place in the bedroom while parents were present at home. Our study findings would serve as a baseline for designing future intervention studies and policies.

IntroductionAccidental poisoning is a leading cause of unintentional injuries among children in developing countries. The overall aspect of this unintentional poisoning is poorly understood in Bangladesh. The objectives of this study were 1) to explore the socio-demographic factors and circumstantial context of accidental poisoning and 2) the prevalence of the type of substances causing it.MethodsA prospective cross-sectional study was conducted between April 2019 and February 2020 at a tertiary level hospital of the capital city Dhaka in Bangladesh. Children under 10 years of age admitted to the hospital with accidental poisoning were enrolled in this study. Parents of hospitalized children were interviewed face-to-face using a structured questionnaire. Descriptive statistics were used for data analysis. ResultsA total of 223 children were recruited in this study. Children between 2 to 5 years (60%), male (61%), and children with agile or aggressive behaviour (65.5%) were among the prevalent victims. Most cases (65%) occurred in a nuclear family setting. Most mothers (85%) of these children were non-working, and most incidents took place in parents’ homes (~82%). Nearly 70% of the poisoning incidents took place in parents' presence, and over half of these occurred in the bedroom. Kerosene was the prevalent cause (33%) of accidental poisoning while insecticide/pesticide ranked second (26.5%) followed by medicines (17%) and household chemicals (12). In one-third (31.4%) cases, poisoning chemicals were stored in soft-drinks bottles, while two-thirds (67.3%) were kept in containers other than original ones. Although over 80% of parents knew that chemicals could be harmful to the children if they were ingested, most of them did not take safety measures. ConclusionIn this present study, we found that preschool-aged children were more victims of accidental poisoning, primarily by ingesting kerosene. A majority of the incidents occurred in the bedroom while parents were present at home. Our study findings would serve as a baseline for designing future intervention studies and policies.

Mucormycosis, a secondary fungal infection, gained much attention in the ongoing COVID-19 pandemic. This deadly infection has a high all-cause mortality rate and imposes a significant economic, epidemiological, and humanistic burden on the patients and healthcare system. Evidence from the published epidemiological studies showed the varying prevalence of COVID-19-associated mucormycosis (CAM). This study aims to compute the pooled prevalence of CAM and other associated clinical outcomes. MEDLINE, Embase, Cochrane COVID-19 Study Register, and WHO COVID-19 databases were scanned to retrieve the relevant articles until August 2021. All studies reporting the prevalence of mucormycosis among COVID-19 patients were eligible for inclusion. Two investigators independently screened the articles against the selection criteria, extracted the data, and performed the quality assessment using the JBI tool. The pooled prevalence of CAM was the primary outcome, and the pooled prevalence of diabetes, steroid exposure, and the mortality rate were the secondary outcomes of interest. Comprehensive Meta-Analysis software version 2 was used for performing the meta-analysis. This meta-analysis comprised six studies with a pooled sample size of 52,916 COVID-19 patients with a mean age of 62.12 ± 9.69 years. The mean duration of mucormycosis onset was 14.59 ± 6.88 days after the COVID-19 diagnosis. The pooled prevalence of CAM (seven cases per 1000 patients) was 50 times higher than the highest recorded background of mucormycosis (0.14 cases per 1000 patients). A high mortality rate was found among CAM patients with a pooled prevalence rate of 29.6% (95% CI: 17.2–45.9%). Optimal glycemic control and the judicious use of steroids should be the approach for tackling rising CAM cases.

Financial inclusion has gone beyond the rhetoric surrounding social development and financial stability, but also expanding into pathos of arbitrage benefits made from cheap retail deposits by large banks and banks from technologically developed regions. This study investigates whether a higher degree of fintech-based financial inclusion (FFI) intensifies banks’ risk-taking by analysing data from 534 banks from 24 OIC countries. The results indicate that higher degree of FFI controls bank’s risk-taking behaviour. The nexus turns stronger in the post-industrial revolution 4.0 (IR4.0) era. Our results are robust across multiple proxies and estimation methods. We discuss how competition surrounding investing in fintech may expose the banks towards severe uncertainty.

Rubber tapping is a major occupation in Kanya Kumari district and it significantly adds to the economy of the country. There are nearly 126 rubber-based industries recognized by the District Industries Centre (DIC), providing employment to 1874 people'' .This study aims at analyzing the prevalence and risk factors associated with ocular injuries and diseases among rubber tappers in a rural area in Kanya Kumari. AIMS AND OBJECTIVES: 1. To assess the prevalence of ocular diseases and injuries in rubber tappers related to their occupation 2. To evaluate the risk factors associated with ocular diseases and injuries among rubber tappers METHODS: Rubber tappers attending the Ophthalmology Out-Patient department in Sree Mookambika Institute of Medical Sciences between 1.10.2020 to 30.11.2020 were evaluated for ocular injuries and diseases.A detailed history was obtained and ocular complaints were analyzed. After a thorough systemic and ocular examination, data was collected. The collected data were analyzed. RESULTS: The study was conducted for a time period of 2 months. Data was collected from all the rubber tappers attending the ophthalmology OPD in Sree Mookambika Institute of Medical Sciences. A total of 48 patients were evaluated. Among which 17 had foreign body exposure, 4 had corneal abrasion, 1 had fungal corneal ulcer, 16 had cataracts, 7 had refractive error,3 had pterygium. CONCLUSION: Occupation -related injuries are common amidst rubber tappers. The population dependent on this occupation is way too high to be left unattended or their health conditions ignored. The results obtained in this study throws light on the importance of awareness that needs to be advocated among employers and employees involved in rubber plantation and tapping. The use of protective eye goggles and other safety precautions must be propagated among the workers. The rubber tappers must be alerted about the consequences of ignoring safety precautions, specifically how it may lead to severe morbidity, sometimes even loss of vision.They must also be advised to undergo ophthalmic examination whenever necessary and on regular basis,as poor vision due to aging or even physiological refractive errors itself may lead to injuries due to compromised eyesight. After conducting this study,we came to the conclusion that the consciousness of the morbidity that may occur due to poor safety measures at work among the rubber tappers is nearly a flat line. Hence creating awareness and educating them regarding this becomes indispensable.

Due to the rapid spread of the novel coronavirus disease-2019 (COVID-19), cases in Bangladesh have continued to increase with a total number of confirmed cases of over 1.04 million and over 16,842 deaths (as of July 14, 2021). Such a surge in COVID-19 cases has caused detrimental impacts in all areas of human lives including students of all levels. The economic and psychological costs to students in higher learning institutions in Bangladesh are believed to be very high compared to other demographic groups in the country (Islam et al., 2020) as a large proportion of expenditure (29% of total education cost) is spent on private tutoring (Toaha, 2015). All the educational institutions in Bangladesh were (physically) closed since early March 2020 and will continue to be so until August 2021 (Ela et al., 2021; Xinhua, 2021).

Recent evidence has prompted the notion of gut-microbial signatures as an indirect marker of aging and aging-associated decline in humans. However, the underlying host-symbiont molecular interactions contributing to these signatures remain poorly understood. In this study, we address this gap using cheminformatic analyses to elucidate potential gut microbial metabolites that may perturb the longevity-associated NAD+ metabolic network. In silico ADMET, KEGG interaction analysis, molecular docking, molecular dynamics simulation, and molecular mechanics calculation predict a large number of safe and bioavailable microbial metabolites to be direct and/or indirect activators of NAD+-dependent sirtuin proteins. Our simulation results suggest dihydropteroate, phenylpyruvic acid, indole-3-propionic acid, phenyllactic acid, all-trans-retinoic acid, and multiple deoxy-, methyl-, and cyclic nucleotides from intestinal microbiota as the best-performing regulators of NAD+ metabolism. Retracing these molecules to their source microorganisms also suggest commensal Escherichia, Bacteroides, Bifidobacteria, and Lactobacilli to be associated with the highest number of pro-longevity metabolites. These findings from our early-stage study, therefore, provide an informatics-based context for previous evidence in the area and grant novel insights for future clinical investigation intersecting anti-aging drug discovery, probiotics, and gut microbial signatures.

In this paper, we investigate the differential impact of ESG activities on banks’ technical efficiency for conventional and Islamic banks. We employ a Data Envelopment Analysis (DEA) technique to determine the efficiency scores of the banks. Based on a sample of 14 conventional and 11 Islamic banks from 4 countries over the period 2011 - 2019, we find that average DEA-generated efficiency of conventional (Islamic) banks is about 38.8% (42.45%). Baseline Tobit regressions suggest that ESG has an overall positive impact on banks’ efficiency. Further, we analyze the relationship for conventional and Islamic banks separately. We find that the positive effect sustains for conventional banks but turns out to be insignificant for Islamic banks. Our individual ESG dimension-wise analyses suggest that environmental activities positively influence the efficiency of both conventional and Islamic banks, whereas social activities strengthen the efficiency of conventional banks only. We do not find any significant result in favor of governance-related initiatives. Our baseline results survive the robustness test based on Simar and Wilson (2007) two-stage efficiency analysis. Based on our findings, we argue that Islamic banks lack sufficient investment on ESG friendly initiatives. We recommend that Islamic banks increase their awareness of the benefits of ESG ratings and pay attention to improve their overall and dimension-wise ESG performance.