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Blockchain is an emerging technology that can transform many sectors in the age of digitization. By adding more transparency to the transitions of information and physical items, blockchain is considered a disruptive innovation that has the power to alter conventional supply chain activities. In these circumstances, blockchain technology must also be implemented in the supply chain. While implementing blockchain technology, supply chain partners face a number of barriers. As a result, the main goal of this research is to explore the prime barriers to the adoption of blockchain technology in the supply chain. In order to achieve these goals, we reviewed the literature and sought the advice of industry experts to identify the 10 main barriers to the adoption of blockchain technology. Further, the DEMATEL approach is used to categorize the finalized barriers into influential and influenced groups. The finding of this study suggests that “influential group” barriers demand more attention from the supply chain partners to minimize these barriers. The top influencing factors are “unwillingness of information sharing”, “lack of trust among SC partners” and “lack of technological advancement” and these barriers demand quick attention from supply chain stakeholders. This study looks into the barriers that stand in the way of effectively implementing blockchain in the supply chain, which will help managers do so.

Glioblastoma is the most aggressive form of brain tumor, accounting for the highest mortality and morbidity rates. Current treatment for patients with glioblastoma includes maximal safe tumor resection followed by radiation therapy with concomitant temozolomide (TMZ) chemotherapy. The addition of TMZ to the conformal radiation therapy has improved the median survival time only from 12 months to 16 months in patients with glioblastoma. Despite these aggressive treatment strategies, patients' prognosis remains poor. This therapeutic failure is primarily attributed to the blood-brain barrier (BBB) that restricts the transport of TMZ from reaching the tumor site. In recent years, nanomedicine has gained considerable attention among researchers and shown promising developments in clinical applications, including the diagnosis, prognosis, and treatment of glioblastoma tumors. This review sheds light on the morphological and physiological complexity of the BBB. It also explains the development of nanomedicine strategies to enhance the permeability of drug molecules across the BBB.

Prospective studies regarding tuberculous myelitis are lacking. We aimed to prospectively evaluate patients with tuberculous myelitis to identify the features that distinguish tuberculous myelitis from other myelitis.This was a prospective study. Patients presenting with paraparesis/quadriparesis, and MRI showing myelitis were included. All patients were subjected to clinical, neuroimaging, and laboratory evaluation. Diagnosis of definite tuberculous myelitis was made if GeneXpert test in CSF was positive. Probable tuberculous myelitis was diagnosed if there was evidence of tuberculosis elsewhere in the body. Patients were treated with methylprednisolone and antituberculosis treatment. Patients were followed for 6 months. We compared the clinical, laboratory, and neuroimaging parameters and response to treatment of tuberculous myelitis with other myelitis. P values were adjusted using the Benjamini-Hochberg (BH) procedure to control false discovery rate.We enrolled 52 patients. Eighteen (34.6%) patients had tuberculous myelitis. Headache (P = 0.018) was significantly more common in tuberculous myelitis. The CSF protein (P 0.001), and CSF cell count (P 0.001) were significantly higher in tuberculous myelitis. On neuroimaging, a LETM was common in tuberculous myelitis. Spinal meningeal enhancement (14; 77.8%), extra-axial collection, and CSF loculation (6; 33.4%), arachnoiditis (3;16.7%), and concomitant spinal tuberculoma (2;11.1%) were other common imaging features of tuberculous myelitis. Tuberculous myelitis patients showed a better response (P = 0.025) to treatment.Tuberculous myelitis was seen in approximately 35% of all myelitis cases, in a high tuberculosis endemic zone. Headache, markedly elevated CSF protein and spinal meningeal enhancement were distinguishing features. Tuberculous myelitis patients responded well to corticosteroids.

PurposeCircular supply chain management (CSCM) has the potential to compensate for the drawbacks of the linear supply chain model. Therefore, the objective of this study is to identify and prioritise the significant enablers related to the effective management of the circular supply chain (CSC).Design/methodology/approachThe significant enablers of CSCM are identified through a two-step process of literature review and grey-Delphi approach. Further, an integrated grey-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied to prioritise these enablers.FindingsThis study proposes a grey-based framework to identify and evaluate the enablers associated with CSCM. A total of 12 significant CSCM enablers are finalised per the proposed framework. The findings suggest that the top three enablers are "long-term planning", "development of CE culture" and "alignment of CE goals with strategic objectives". These enablers require the attention of the top management and supply chain partner on priority.Research limitations/implicationsThis study identifies 12 enablers through the literature review, so there is a possibility to overlook some significant enablers. However, the expert's input is used to finalise and analyse the enablers, which can be biased towards their working level.Originality/valueThis study proposes a grey-based framework to identify and analyse the CSC enablers rarely investigated in the contemporary literature. The paper is strong in methodological contributions and gives practitioners and researchers a better framework for CSCM.

PurposeHalal integrity assurance is the primary objective of Halal supply chain management. Several halal-related risks are present that have the potential to breach halal integrity. Therefore, this study aims to develop the framework for the assessment of halal-related risk from a supply chain perspective.Design/methodology/approachRisk related to halal is identified through the combined approach of the systematic literature review and experts’ input. Further, these risks are assessed using the integrated approach of intuitionistic fuzzy number (IFN) and D-number based on their severity score. This integrated approach can handle fuzziness, inconsistency and incomplete information that are present in the expert’s input.FindingsEighteen significant risks related to halal are identified and grouped into four categories. These risks are further prioritised based on their severity score and classified as “high priority risk” or “low priority risks”. The findings of the study suggests that raw material status, processing methods, the wholesomeness of raw materials and common facilities for halal and non-halal products are more severe risks.Research limitations/implicationsThis study only focusses on halal-related risks and does not capture the other types of risks occurring in the supply chain. Risks related to halal supply chain management are not considered in this study. Prioritisation of the risks is based on the expert’s input which can be biased to the experts' background.Practical implicationsThe proposed risk assessment framework is beneficial for risk managers to assess the halal related risks and develop their mitigation strategies accordingly. Furthermore, the prioritisation of the risks also assists managers in the optimal utilisation of resources to mitigate high-priority risks.Originality/valueThis study provides significant risks related to halal integrity, therefore helping in a better understanding of the halal supply chain. To the best of the authors' knowledge, this is the first comprehensive study for developing a risk assessment model for the halal supply chain.

This article examines the impact of domestic remittances on the labour supply of men and women in recipient households in rural India. Applying the instrumental variable approach to data from the National Sample Survey, estimates indicate that remittances have a negative effect on the labour force participation of left‐behind household members. They do not seem to affect participation in regular salaried work but cause a decline in participation in casual wage work and unpaid family work, and an increase in self‐employment, especially among female household members. Additionally, the receipt of remittances significantly increases women's participation in household duties outside the labour market.

This study explores the potential of the Deep Learning (DL) approach to develop a model for basin-scale drought assessment using information from a set of primary hydrometeorological precursors, namely air temperature, surface pressure, wind speed, relative humidity, evaporation, soil moisture and geopotential height. The novelty of the study lies in extracting the information from the hydrometeorological precursors through the efficacy of the DL algorithm, based on a one-dimensional convolutional neural network. Drought-prone regions, from where our study basins are selected, often suffer from the vagaries of rainfall that leads to drought-like situations. It is established that the proposed DL-based model is able to capture the underlying complex relationship between rainfall and the set of aforementioned hydrometeorological variables and, subsequently, shows its promise for the basin-scale meteorological drought assessment as revealed through different performance metrics and skill scores. The accuracy of simulating the correct drought category, among the seven categories, is also high (>70%). Moreover, in general, the skill of any climate model is much higher for the primary meteorological variables as compared with other secondary or tertiary variables/phenomena, like droughts. Thus, the novelty of the proposed DL-based model also lies in the improved assessment of ensuing basin-scale meteorological droughts using the projected meteorological precursors and may lead to new research directions. HIGHLIGHTS This study explores the potential of Deep Learning (DL) approach to capture the hidden complex hydrometeorological association.; A DL-based model is developed for basin-scale drought assessment using the hidden complex relationship from a set of primary hydrometeorological precursors.; DL may be effective to use simulated primary hydrometeorological variables from climate models to assess more complex phenomena.

Este articulo examina el impacto de las remesas de migrantes internos en la oferta de trabajo de hombres y mujeres de los hogares receptores en la India rural. Las estimaciones con variables instrumentales y datos de la National Sample Survey indican que el efecto es negativo. Las remesas no parecen afectar a la participacion en el trabajo asalariado regular, pero se asocian a una disminucion de la participacion en el trabajo asalariado ocasional y en el trabajo familiar no remunerado y a un aumento del empleo no subordinado, especialmente entre las mujeres del hogar. Ademas, las remesas aumentan significativamente la participacion femenina en las tareas domesticas.

SARS-CoV-2, previously named 2019 novel coronavirus (2019-nCoV), has been associated with the global pandemic of acute respiratory distress syndrome. First reported in December 2019 in the Wuhan province of China, this new RNA virus has several folds higher transmission among humans than its other family member (SARS-CoV and MERS-CoV). The SARS-CoV-2 spike receptor-binding domain (RBD) is the region mediating the binding of the virus to host cells via Angiotensin-converting enzyme 2 (ACE2), a critical step of viral. Here in this study, we have utilized in silico approach for the virtual screening of antiviral library extracted from the Asinex database against the Receptor binding domain (RBD) of the S1 subunit of the SARS-CoV-2 spike glycoprotein. Further, the molecules were ranked based on their binding affinity against RBD, and the top 15 molecules were selected. The affinity of these selected molecules to interrupt the ACE2-Spike interaction was also studied. It was found that the chosen molecules were demonstrating excellent binding affinity against spike protein, and these molecules were also very effectively interrupting the ACE2-RBD interaction.Furthermore, molecular dynamics (MD) simulation studies were utilized to investigate the top 3 selected molecules' stability in the ACE2-RBD complexes. To the best of our knowledge, this is the first study where molecules' inhibitory potential against the Receptor binding domain (RBD) of the S1 subunit of the SARS-CoV-2 spike glycoprotein and their inhibitory potential against the ACE2-Spike has been studied. We believe that these compounds can be further tested as a potential therapeutic option against COVID-19.

PurposeHalal supply chain management (HSCM) is an emerging research area and is in the early stage of evolution. This study aims to identify 11 critical factors towards effective management of a Halal supply chain (HSC) and provides a framework for the HSCM by evaluating Halal practices' impact on sustainability performance measures empirically.Design/methodology/approachA structured questionnaire-based survey has been carried out to collect data for analysis. The statistical analysis is accomplished by exploiting merits of factor analysis and structural equation modelling (SEM).FindingsThe results imply that out of 11 critical factors, nine factors on effective management of the HSC are statistically significant, and impacts of two critical factors are positive but statistically insignificant. In the structural model, the path coefficient of all success indicators are positive and statistically significant. In terms of the path coefficient of sustainable performance measures of HSC, all three dimensions, economic, environmental and social, are positive and statistically significant.Research limitations/implicationsThe research extends Halal and supply chain management's literature by proposing Halal as a standard quality control system, as it focuses on wholesome consumption. Effective management of the HSC is positively related to the firms' sustainable performance, thus helping managers make the organisation sustainable in the long term.Practical implicationsThe research extends the literature of Halal and supply chain management by proposing Halal as a standard quality control system, which focuses on wholesome consumption. Effective management of the HSC is positively related to the sustainable performance of the firms, thus helps managers in making the organisation sustainable in the long term.Originality/valueThe result of the study underlines that sustainable performance measures are embedded in HSCM. This research develops a new paradigm in the research of HSCM and sustainability.

After COVID, Original equipment manufacturers (OEMs), suppliers, and distributors are seeking to streamline their local, and global supply chains, the issue has gained attention in how they identify, analyze and manage their procurement and supply chain processes with stakeholders. The use of supply chain adoption with green technology has been found to be preferred in international trade, which is forcing the Indian manufacturing, and services sector to realign their CSR (Corporate social responsibility) goals. Interviews have been conducted with a mix of manufacturing and service firms in India to map their sustainable procurement in green supply chain practices. The use of MAXQDA software for conducting thematic analysis to support the inductive theory and trend-building practices to know “what, why, and how” from interview responses. Each sector, manufacturing, and service showed distinct trends that divorce their approach to green SCM, and supply chain strategy for sustainable procurement though they have spread awareness about sustainable procurement with stakeholders, emphasizing economic benefits. Additionally, they pursued jointly to address environmental issues and extend societal benefits as a CSR effort. Variances in approaches in manufacturing are market-linked, time-based, and demand-driven while services firms showed green technology pledges as CSR initiatives along with an environmental emphasis in downstream SCM activities.

Resource depletion is a concern for the global economy; many think that available resources on the planet will not be able to cater to an ever‐growing population. Thus, economies are trying to become circular, leaving behind the linear tradition linear approach. In the circular economy (CE), physical resources and energy are made to loop back into the supply chain (SC) for a more extended period. Proper selection of suppliers is an essential criterion towards proper execution of the CE principle in SC. In this research, we have constructed a framework for evaluating the supplier concerning the CE implementation. Further, this research identifies the criterion and sub‐criterion, which are pertinent for evaluating the supplier in CE context. Fuzzy‐based ‘Criteria Importance Through Inter‐Criteria Correlation (CRITIC)’ method is justifiably applied to determine the aggregated weights of the criteria. Finally, ‘Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)’ method is used to determine the suppliers' ranking in the Indian automobile industry. Six criteria and 24 sub‐criteria are obtained as per recent literature and then inputs from experts. ‘Environment’ criterion came out as the most favourable criterion with a subjective weight of 0.230. The current research is one of the first such attempts to provide criteria for supplier selection in a CE environment. The developed framework would help organisations in implementing CE‐based supplier selection. The identified criteria and sub‐criteria would provide organisations with means to evaluate suppliers and help suppliers develop an effective and efficient CE based on the SC.

This paper evaluates the impact of migration on the labour market outcomes of non-migrant workers in India using unit-level data from the ‘Employment Unemployment and Migration Survey’ (NSSO 64th Round, 2007–2008). After correcting for endogeneity bias of migration using an instrument variable approach, the overall results of the study suggest that the inflow of migrant workers increases the wages of non-migrant workers but does not affect their employment. Disaggregating the analysis by sectors, the study finds a positive wage effect in the formal sector, which is more pronounced among the high-skilled workers. In the informal sector, the results indicate an adverse employment effect among both high- and low-skilled workers. The positive wage effect in the formal sector suggests complementarity between migrant and non-migrant workers. The adverse employment effect in the informal sector is possibly due to a preference for migrant workers over non-migrant workers. The estimated results are consistent with alternate specifications.

Copyright © 2022 Baig, Yousuf, Khan, Khan, Ahmad, Alshahrani, Hassan and Dong.Cyclin-dependent kinases (CDKs) play significant roles in numerous physiological, and are considered an attractive drug target for cancer, neurodegenerative, and inflammatory diseases. In the present study, we have aimed to investigate the binding affinity and inhibitory potential of selonsertib toward CDK6. Using the drug repurposing approach, we performed molecular docking of selonsertib with CDK6 and observed a significant binding affinity. To ascertain, we further performed essential dynamics analysis and free energy calculation, which suggested the formation of a stable selonsertib-CDK6 complex. The in-silico findings were further experimentally validated. The recombinant CDK6 was expressed, purified, and treated with selonsertib. The binding affinity of selonsertib to CDK6 was estimated by fluorescence binding studies and enzyme inhibition assay. The results indicated an appreciable binding of selonsertib against CDK6, which subsequently inhibits its activity with a commendable IC50 value (9.8 μM). We concluded that targeting CDK6 by selonsertib can be an efficient therapeutic approach to cancer and other CDK6-related diseases. These observations provide a promising opportunity to utilize selonsertib to address CDK6-related human pathologies.

It’s been more than 2 years since the first outbreak of COVID-19, and still the pandemic is devastating the world and is standing as significant threat to the worldwide medical settings. The reports of new variants, absence of globally approved therapeutics are the major reasons responsible for the continuously increasing number of cases and mortalities. The main protease (Mpro) of SARS-CoV-2 is a well reported and a key therapeutic target for designing drugs to treat COVID-19. The medicinal properties of mushrooms and its derived natural compounds are well established. Here in this study, we have performed the virtual screening of mushroom-derived compounds against the SARS-CoV-2 Mpro. Cordycepin was found to be the most active compound against Mpro. The compound was further isolated from C. militaris and in vitro assay was performed to confirm its antivirals potential against SARS-CoV-2. Our findings show cordycepin to be a promising candidate against COVID-19.

The concept of circular economy (CE) attracts the attention of industries and academia; however, the implementation of CE faces many barriers. Therefore, the primary purpose of this study is to identify and prioritize significant barriers toward the implementation of CE. In order to accomplish these objectives, the barriers of CE implementation are identified through an extensive literature review and finalized through experts’ inputs. After finalizing the barriers, we appropriately applied a fuzzy CRITIC (CRiteria Importance Through Intercriteria Correlation) approach to prioritize the barriers. Further, the identified barriers are analyzed using the Pareto rule. The results suggest that laws and regulations-related barriers and management-related barriers are the most critical barriers toward the implementation of a circular economy. Further, the lack of environmental laws and regulations, insufficient financial resources, lack of financial incentives and a higher cost related to recycled materials in the supply chain are the most significant barriers in industries. The novelty of this paper is that the identified barriers toward the implementation of CE are generic as well as industry-specific.

Phospholipases A2 (PLA2s) belong to a superfamily of enzymes responsible for hydrolysis of the sn-2 fatty acids of membrane phospholipids to release arachidonic acid. PLA2s are the rate limiting enzyme for the downstream synthesis of prostaglandins and leukotrienes that are the main mediators of inflammation. The extracellular forms of this enzyme are also called the secretary phospholipase A2 (sPLA2) and are distributed extensively in most of the tissues in the human body. Their integral role in inflammatory pathways has been the primary reason for the extensive research on this molecule. The catalytic mechanism of sPLA2 is initiated by a histidine/aspartic acid/calcium complex within the active site. Though they are known to have certain housekeeping functions, certain mutations of sPLA2 are known to be implicated in causation of certain pathologies leading to diseases such as atherosclerosis, cardiovascular diseases, benign fleck retina, neurodegeneration, and asthma. We present an overview of human sPLA2 and a comprehensive compilation of the mutations that result in various disease phenotypes. The study not only helps to have a holistic understanding of human sPLA2 mutations and their clinical implications, but is also a useful platform to initiate research pertaining to structure-function relationship of the mutations to develop effective therapies for management of these diseases.

Acridoids, commonly known as grasshoppers and locusts, are cosmopolitan, hervivorous, notorious pests of agricultural crops, potential bio-indicators for land management and one of the most dominant groups of class Insecta. This is the first report on diversity and distributional pattern of these insects from Terai region of Uttarakhand. Present explorations were made to know species diversity, species compostion, abundance and distributional pattern of Acridoid fauna in Udham Singh Nagar, Terai region of Uttarakhand, India. A total number of 847 specimens of acridoids were collected from seven different sites of Udham Singh Nagar having 22 species and 14 genera belonging to 2 families, 7 subfamilies, and 11 tribes by sweep net and hand picking method during the survey period 2017–2018. Family Acrididae was found to be more diverse with 20 species (87%) followed by family Pyrgomorphidae with only 3 species (13%). Among subfamilies of family Acrididae, the subfamily Oxyinae was found to be most abundant and Gomphocerinae was least abundant. On the basis of number of genera, subfamily Oedipodinae was most dominant, followed by Catantopinae. On the basis of number of species, subfamily Oedipodinae was again found to be most dominant with 6 species followed by Oxyinae with 5 species, Catantopinae, Hemiacridinae, Gomphocerinae, Acridinae with 2 species each and the least dominant was Spathosterninae with only 1 species. The diversity indices for acridoid have been calculated for the first time from Terai region of Uttarakhand. Across the survey, Simpson’s diversity index (D’) & Shannon diversity index (H′) was calculated as 0.8333 & 2.195 respectively, which means that the acridoid population is moderately diverse in the surveyed area.

In the volatile globalised market, risk management of the supply chain is essential, but it becomes vital to the management of faith-based supply chains. Therefore, this study aims to identify and ...

Purpose In a globalised environment, market volatility makes risk management an essential component of the supply chain. Similar to conventional supply chains, a Halal supply chain (HSC) is also affected by several factors making it vulnerable to risks. Therefore, the purpose of this study is to identify and analyse the elements of Halal supply chain management (HSCM) and their significant risk dimensions. Design/methodology/approach In total, 72 risk elements of HSCM are identified through a review of contemporary scientific literature along with news items and official websites related to risk management of conventional supply chain management, HSC and sustainable supply chain. Further, 42 risk elements are finalised using fuzzy Delphi and then these risk elements are categorised into 7 dimensions. The interrelationships among the risk dimensions as well as risk elements are developed using fuzzy DEMATEL. Findings Results suggest that production, planning, logistic & outsourcing and information technology-related risk are prominent risk dimensions. The causal relationships among the significant risk dimensions and elements related to the HSCM may help managers and policy planners. Research limitations/implications This study faces a challenge due to inadequate availability of the literature related to risk management in the area of HSCM. Further, this study has used inputs from experts, which can be biased. Originality/value To the best of the author's knowledge, it is the first comprehensive study towards investigating the interrelationships among the risks in the context of the HSCM.

Purpose Halal supply chain management (HSCM) is an emerging business and research area; there is a need to motivate researchers towards exploring the links between HSCM and sustainable performance of the organisation. Therefore, the purpose of this study is to develop a conceptual framework in order to link the HSCM with sustainable performance. Design/methodology/approach This review based paper identifies eleven critical factors for effective management of the Halal supply chain (HSC) and provides a conceptual framework for an HSCM after due consultative inputs from experts. The exploratory paper tries to integrate success measures of HSCM through integrity, process quality and customer satisfaction to sustainable performance measures. Findings Halal label is considered just like a kosher label or a green label or an organic label, which provides confidence to consumers on the Halal aspect of products and services. Some part of the society thinks that Halal products carry a higher value; therefore, the industry wants to identify if HSCM is sustainable. The same is measured comprehensively through environmental performance, social performance and economic performance. Animal welfare, fair trade and perceived benefits, better quality, wholesome with ethical practices help in sustainable development. Originality/value This paper tries to contribute to the research of HSCM with sustainable performance measures being embedded in the system. The model, along with researchers, may also help managers of firms dealing with Halal products in understanding how much sustainable their organisation is. This research is from a non-Islamic, democratic country which is multicultural and has large numbers of Halal consumers.

The inflow of international remittances to Kerala has been increasing over the last three decades. It has increased the income of recipient households and enabled them to spend more on human capital investment. Using data from the Kerala Migration Survey-2010, this study analyses the impact of remittance receipts on the households’ healthcare expenditure and access to private healthcare in Kerala. This study employs an instrumental variable approach to account for the endogeneity of remittances receipts. The empirical results show that remittance income has a positive and significant impact on households’ healthcare expenditure and access to private healthcare services. After disaggregating the sample into different heterogeneous groups, this study found that remittances have a greater effect on lower-income households and Other Backward Class (OBC) households but not Scheduled Caste (SC) and Scheduled Tribe (ST) households, which remain excluded from reaping the benefit of international migration and remittances.

PurposeThe successful transition towards the circular economy is a requirement of this technological era. The objective of this study is to identify critical success factors behind the successful transition to the circular economy.Design/methodology/approachA systematic literature review and experts' inputs are used to identify the major critical success factors of a successful transition towards a circular economy. Further, DANP is applied to discover the interrelationships among the critical success factors dimensions by analyzing causal relations between the relevant critical success factors. Additionally, the ranking of significant critical success factors for the successful transition towards the circular economy is determined.FindingsThis study has used the DANP methodology to understand the relationships among the five dimensions and the twenty-two critical success factors and identified the key influencing critical success factors through their global weights. Research findings suggest that “vision regard to a circular economy” has the highest weights, followed by “financial sustainability” which is regarded as the most important CSF.Research limitations/implicationsThe outcomes of this work may help organizations on issues related to the transition of the linear economy towards circular economy, in understanding the degree of importance of the each critical success factors, based on which the organizations can formulate an effective strategy to systematically emphasize critical success factors as per their importance for the successful transition towards circular economy.Originality/valueThis study tries to explore and analyze critical success factors of the transition from the linear economy to a circular economy. Further, the finding of this study provides deeper insights into academia and mangers that helps to formulate their action plan for moving towards the circular economy.

Purpose Halal is an emerging business sector and is steadily gaining popularity among scholars and practitioners. The purpose of this paper is to critically evaluate and review the reported literature in the broad area of Halal using bibliometric technique and network analysis tools. Moreover, this paper also proposes future research directions in the field of Halal. Design/methodology/approach This paper employed a systematic review technique followed by bibliometric analysis to gain insight and to evaluate the research area associated with Halal. Furthermore, data mining techniques are used for analysing the concerned article title, keywords and abstract of 946 research articles obtained through the Scopus database. Finally, network analysis is used to identify significant research clusters. Findings This study reports top authors contributing to this area, the key sub-research areas and the influential works based on citations and PageRank. We identified from the citation analysis that major influential works of Halal are from the subject area of biological science and related areas. Further, this study reports established and emerging research clusters, which provide future research directions. Research limitations/implications Scopus database is used to conduct a systematic review and corresponding bibliometric study; the authors might have missed some peer-reviewed studies not reported in Scopus. The selection of keywords for article search may not be accurate for the multi-disciplinary Halal area. Also, the authors have not considered the banking/financial aspects of Halal. The proposed four research clusters may inform potential researcher towards supporting the industry. Originality/value The novelty of the study is that no published study has reported the bibliometric study and network analysis techniques in the area of Halal.

Gupta AK, Pokhriyal R, Das U, et al. Neuropsychiatr Dis Treat. 2019;15:2073–2085. The authors wish to advise of typographical errors in Figures 1 and 2 and Table 3, the correct unit of apolipoprotein E concentration is μg/ml, and not pg/ml. Page 2077, Figure 1A, y axis, the text “CSF apolipoprotein E (pg/ml)” should read “CSF apolipoprotein E (μg/ml)”. Page 2077, Figure 2, x axis, the text “CSF apolipoprotein E (pg/ml)” should read “CSF apolipoprotein E (µg/ml)”. Page 2079, Table 3, Cut-off values to differentiate neurological controls from the disease column, Apolipoprotein E and Apolipoprotein E or α-synuclein rows, the text “>3.4 pg (Parkinson’s disease)” should read “>3.4 µg (Parkinson’s disease)” and “ The authors apologize for these errors and any inconvenience. Read the original article

In the present work, analysis of concrete pavements using ANSYS software has been attempted. ANSYS is a finite element method-based software. The concrete slab has been modeled with solid 45 brick element and spring elements for soil. Analysis was carried out for a wide range of load and slab soil combination. The soil as “Winkler type” represented by elastic springs and their stiffness was derived from modulus of sub-grade reaction. The influence of any particular base or sub base on edge stresses was not studied here. The model will be then subjected to number of varying input parameters like the change in the thickness of pavement slab, sub-grade material to winkler foundation, modulus of elasticity by adding metal chips in different percentage like 10%, 20%, 30% and also intensity of loads. It is aimed to compare the stresses of the model study with classical approach of Westergaards and IRC 58- 2002 method. Westergaards equation under estimate edge wheel load stresses when compared with those obtained from ANSYS. For generating the charts, edge loading condition was considered which is critical case for wheel load stresses. Also, it was aimed to compare the results with those given by IRC 58 – 2002 design charts. Design charts were developed in thesis work yield the same value of pavement thickness as that of IRC 58 – 2002 method.

The recent emergence of novel SARS-CoV-2 variants has threatened the efforts to contain the COVID-19 pandemic. The emergence of these “variants of concern” has increased viral transmissibility or immune escape and has supplanted the ancestral strains. The novel variants harbored by the B.1.617 lineage (Kappa and Delta) carry mutations within the receptor-binding domain of spike (S) protein (L452R + E484Q and L452R + T478K), the region binding to the host receptor. The double mutations carried by these novel variants are primarily responsible for an upsurge number of COVID-19 cases in India. In this study, we thoroughly investigated the impact of these double mutations on the binding capability to the human host receptor. We performed several structural analyses and found that the studied double mutations increase the binding affinity of the spike protein to the human host receptor (ACE2). Furthermore, our study showed that these double mutants might be a dominant contributor enhancing the receptor-binding affinity of SARS-CoV-2 and consequently making it more stable. We also investigated the impact of these mutations on the binding affinity of two monoclonal antibodies (Abs) (2-15 and LY-CoV555) and found that the presence of the double mutations also hinders its binding with the studied Abs. The principal component analysis, free energy landscape, intermolecular interaction, and other investigations provided a deeper structural insight to better understand the molecular mechanism responsible for increased viral transmissibility of these variants.