Design, Synthesis, Biological Evaluation and in Silico Studies of Curcumin Pyrrole Conjugates

Curcumin conjugated heterocyclic compounds are potent candidates with drug likeness against various bacterial pathogens. A set of curcumin-based pyrrole conjugates (CPs) were synthesized and characterized by FT-IR, 1H and 13C NMR and HR-MS techniques. The results of free radical scavenging activity of the synthesized CPs, evaluated by FRAP and CUPRAC assays, showed the potency of these compounds as effective antioxidants. CP3 exhibits the highest antioxidant activity amongst the CPs. The bactericidal efficacy of CPs was screened against ESKAP bacterial pathogens, and CPs were found to possess better antibacterial property than curcumin, specifically against staphylococcus aureus bacteria. In addition, serum albumin (BSA and HSA) binding interaction of these CPs were determined by UV-visible and fluorescence spectrophotometric techniques. In-silico molecular docking study was performed to determine the binding patterns of molecular targets against Staphylococcus aureus tyrosyl tRNA synthetase, and serum albumin proteins. The structure-activity relationship showed that the presence of multiple phenolic hydroxyl groups, and electron withdrawing groups on the structure of CP molecule, enhances its antioxidant and antibacterial activity, respectively.

Utility of myxedema score as a predictor of mortality in myxedema coma

OBJECTIVE

Myxedema crisis (MC) is a rare condition. There is a dearth of data regarding the predictors of mortality in MC. Predictive scores for mortality specific to the clinical and biochemical profile of MC are still lacking.

DESIGN AND METHODS

All consecutive patients presenting with MC from September 2006 to December 2020 comprised the new cohort. Patients managed between January 1999 and August 2006 comprised the old cohort. Both cohorts were compared for the determination of secular trends. Combined analysis of both the cohorts was done for clinico-demographic profile and predictors of mortality. Myxedema score (MS) and qSOFA (Quick Sequential Organ Failure Assessment) score were evaluated in all the patients.

RESULTS

A total of forty-one patients (new cohort; n = 18 and old cohort; n = 23) were enrolled into the study. There was a female predominance (80.5%). Nearly half (51.2%) of the patients were newly diagnosed with hypothyroidism on admission. Overall mortality was 60.9%. On comparative analysis among survivors and non-survivors, female gender (OR 20.4, p value 0.018), need for mechanical ventilation (OR16.4, p value 0.009), in-hospital hypotension (OR 9.1, p value 0.020), and high qSOFA score (OR 7.1, p value 0.023) predicted mortality. MS of > 90 had significantly higher mortality (OR-11.8, p value - 0.026) while MS of > 110 had 100% mortality. There was no change in secular trends over last 20 years. There was no difference in outcome of patients receiving oral or IV levothyroxine.

CONCLUSION

Myxedema crisis is associated with high mortality despite improvement in health care services. The current study is first to elucidate the role of the MS in predicting mortality in patients with MC.

A review of reverse logistics and closed-loop supply chains in the perspective of circular economy

Purpose

This paper presents a systematic literature review of the various aspects of reverse logistics (RL) and closed-loop supply chains (CLSC) in implementing and achieving circular economy (CE) motives. CE is identified as a method of embracing imperishability into the economic structure, helping shift from a linear to a condition leading to ecological and social benefits.

Design/methodology/approach

Systematic literature was used to review a total of 80 peer-reviewed articles are included in the study and covers different concepts related to the implementation of CE, such as cost-saving, network design, sustainable RL, waste management and extended producer responsibility.

Findings

The findings reveal that the research in the domain is in a growing phase, and in recent years, a lot of attention has been given by researchers across the globe. However, further research is required in crucial areas for the adoption of CE, such as retail reverse logistics, pharmaceutical industries and resource recycling industry.

Practical implications

The study discusses the business needs and solutions for industries. Key enablers and barriers are listed along with the main activities involved in each sector in CLSC. Managers can design a pathway to decide which lever to use to overcome a particular challenge.

Originality/value

The work contributes theoretically by developing research themes in RL and CLSC practices applied to CE. It also provides theoretical and practical implications of the study, which can be used as a signboard for further research.

Mesenchymal Stem Cell Therapy for Patients with Post COVID ARDS on ECMO Referred for Lung Transplantation - Single Center Experience from India

Purpose

India experienced a devastating second wave of the covid 19 pandemic triggered by the delta variant, which peaked in end of April and early May 2021 with average daily new cases hitting 300,000 to 400,000 and daily death toll reaching 3000 to 3500. ECMO emerged as an option for severe post covid ARDS and was offered in many centers across India for patients who were worsening despite full ventilatory support and prone positioning. A small minority of these patients who showed no improvement despite several weeks on ECMO were referred for lung transplantation to our center. Out of the 63 ECMO pts we received for Lung Transplantation 5 patients received Mesenchymal Stem Cell (MSC) infusion over and above standard treatment after getting necessary clearance from hospital Ethics committee and consent from patients’ family

Methods

We conducted a case control study on critically ill post covid ARDS patients on ECMO referred for lung transplantation to our center. 5 patients received 2 million umbilical cord derived MSCs/kgwt infused over 30 minutes, for 3 doses on days 0, 3 and 6 and was compared to other local ECMO patients (control group; n=58). The primary outcome was safety and secondary outcome was all cause mortality.

Results

All 5 patients tolerated MSC infusions well with no side effects observed. Out of the 5 patients who received MSC infusions 3 pts (60%) recovered and were weaned off ECMO successfully. 1 pt (20%) did not improve and expired, 1 pt (20%) did not recover and underwent successful lung transplantation and was discharged home. In the ECMO control group, 15 patients (26%) recovered without transplant, 23 pts (40%) underwent successful lung transplantation and 20 pts (34%) expired.

Conclusion

MSC IV infusion is safe and well tolerated without side effects in covid ARDS pts on ECMO. The efficacy of MSC in repairing the covid destroyed lung should be further evaluated in large randomised controlled studies.

Airway Complications After Lung Transplant for Post Coronaviral Disease (COVID-19) Acute Respiratory Distress Syndrome (ARDS) Related End Stage Lung Disease: Single Centre Experience

Purpose

Severe COVID-19 ARDS related end stage lung fibrosis with irreversible changes is a newer indication for lung transplantation with acceptable survival rate. Airway complication post lung transplant is a major source of morbidity and mortality with incidence as high as 25 to 49 percent. Patients with end stage COVID-19 fibrosis are likely to be clinically deconditioned with long duration of extracorporeal oxygenator (ECMO) support, high burden of sepsis and prolonged respiratory support which may affect the airways post lung transplantation.

Methods

This is a retrospective observational study after obtaining institutional ethical clearance. We reviewed electronic medical data of patients who underwent lung transplantation for post COVID-19 ARDS related fibrosis. We evaluated the incidence and type of airway complications and the various therapeutic interventions applied for its management.

Results

Between May 2020 and September 2021 our centre performed 23 bilateral lung transplants for end stage COVID-19 ARDS related fibrosis. 22 patients were on ECMO support with mean duration of 50.9 days before transplantation. All patients underwent lung transplantation with central Veno-Arterial ECMO support with mean organ ischaemia time of 360±154 minutes. The incidence of airway complication in our study group was 56%. We observed anastomotic narrowing in 3(13%), distal airway narrowing in 4(17%) and sloughing/coating of anastomotic site in 5(22%) patients. Nonspecific inflammatory polypi around the bronchial anastomotic site were noticed in 4(17%) and mild airway anastomotic dehiscence in 2 subjects. 8(34%) patients required serial bronchoscopy and balloon dilatation; 2 among them mandated additional cautery usage. 2 cases underwent polypectomy, further 4 subjects needed bronchial stent placement. 5 (21%) recipients were discharged with Tracheostomy while rest were successfully decannulated in the ward.

Conclusion

We observed a high incidence of airway complications in post lung transplant for COVID-19 ARDS related fibrosis. Early detection, timely management and serial follow up is of paramount importance in this subset of patients.

Performance analysis of Indian states based on social–economic infrastructural investments using data envelopment analysis

Purpose

This study investigates the performance of Indian states based on infrastructural investment in social and economic sectors using data envelopment analysis (DEA). Most of the studies in the literature are based on how different elements of infrastructure such as transport, energy, education, healthcare system affect the economy of different countries/regions. In this study, we consider these elements under two different sub-systems, namely, social and economic infrastructure and measure the cooperative efficiency for competitive growth.

Design/methodology/approach

A four-stage DEA approach is proposed for the analysis of a sample of 28 Indian states for the years 2011, 2013 and 2015 under consideration. First stage calculates the per capita GDP contribution, while stage-2 evaluates the efficiency of investments in social infrastructure followed by the efficiency analysis in economic infrastructure in stage-3. Finally, fourth stage evaluates the co-operative efficiency for the overall performance.

Findings

The findings of three different cases based on population sizes, viz., highly populated, moderately populated and less populated regions suggest that the government can identify the top and poor performers. It also studies the variations in efficiency tally of states using Malmquist indices.

Practical implications

This kind of study will vigilant government and local authorities on the investments made in all the states for social and economic infrastructure and establish a competitive environment among state governments to compete for improved infrastructural growth.

Originality/value

This study is the first of its kind in developing countries like India, which focuses on efficiency analysis using DEA based on two sub-sectors of social–economic infrastructural investments.

Empowering human resource functions with data-driven decision-making in start-ups: a narrative inquiry approach

Purpose

Across industries, firms want to adopt data-driven decision-making (DDDM) in various organizational functions. Although DDDM is not a new paradigm, little is known about how to effectively implement DDDM and which problem areas to focus on in these functions. This study aims to enable start-ups to use DDDM in human resources (HR) by studying five HR domains using a narrative inquiry technique and aims to guide managers and HR practitioners in start-ups to enable data-driven decisions in HR.

Design/methodology/approach

This study adopts the narrative inquiry technique by conducting semi-structured interviews with HR practitioners and senior members handling HR functions in start-ups. Interview memos are thematically analyzed to identify repeated ideas, concepts or elements that become apparent.

Findings

The study findings indicate that start-ups need to have canned operational reports with right attributes in each of these HR domains, which members should use when performing HR tasks. Few metrics, like cost-to-hire in recruitment, distinctly surfaced relatively higher in importance that each start-up, should compute and use in decision-making.

Practical implications

Managers, HR practitioners and information technology implementation teams will be able to consume the findings to effectively design or evaluate HR processes or systems that empower decision-making in a start-up.

Originality/value

Start-ups have a fast-paced culture where creativity, relationships and nimbleness are valued. Prevalent decision models of larger organizations are not suitable in start-ups’ environments. This study, being cognizant of these nuances, takes a fresh approach to guide start-ups adopt DDDM in HR and identify key problem areas where decision-making should be enabled through data.

Remission in Cushing's disease is predicted by cortisol burden and its withdrawal following pituitary surgery

AIM

To ascertain the predictors of remission and relapse in patients of Cushing's disease (CD) undergoing pituitary transsphenoidal surgery (TSS).

METHODS

Patients with CD subjected to TSS over 35 years at a tertiary care center were included. Patients were grouped into remission and persistent disease at 1 year after surgery, and were further followed up for relapse. Demographic, clinical, biochemical, histological, radiological and post-operative follow-up parameters were analyzed.

RESULTS

Of the 152 patients of CD, 145 underwent TSS. Remission was achieved in 95 (65.5%) patients at 1 year. Patients in remission had shorter duration of symptoms prior to presentation (p = 0.009), more frequent presence of proximal myopathy (p = 0.038) and a tumor size of < 2.05 cm (p = 0.016) in comparison to those with persistent disease. Post-TSS, immediate post-operative 0800-h cortisol (< 159.85 nmol/L; p = 0.001), histological confirmation of tumor (p = 0.045), duration of glucocorticoid replacement (median 90 days; p = 0.001), non-visualization of tumor on MRI (p = 0.003), new-onset hypogonadism (p = 0.001), 3-month 0800-h cortisol (< 384.9 nmol/L; p = 0.001), resolution of diabetes (p = 0.001) and hypertension (p = 0.001), and recovery of hypothalamic-pituitary-adrenal axis (p = 0.018) favored remission. In logistic regression model, requirement of glucocorticoid replacement (p = 0.033), and resolution of hypertension post-TSS (p = 0.003) predicted remission. None of the parameters could predict relapse.

CONCLUSION

The study could ascertain the predictors of remission in CD. Apart from the tumor characteristics, surgical aspects and low post-operative 0800-h cortisol, the results suggest that baseline clinical parameters, longer glucocorticoid replacement, and resolution of metabolic complications post-TSS predict remission in CD. Long-term follow-up is essential to look for relapse.

Distribution planning problem of a supply chain of perishable products under disruptions and demand stochasticity

Purpose

The emergence of risk in today's business environment is affecting every managerial decision, majorly due to globalization, disruptions, poor infrastructure, forecasting errors and different uncertainties. The impact of such disruptive events is significantly high for perishable items due to their susceptibility toward economic loss. This paper aims to design and address an operational planning problem of a perishable food supply chain (SC).

Design/methodology/approach

The proposed model considers the simultaneous effect of disruption, random demand and deterioration of food items on business objectives under constrained conditions. The study describes this situation using a mixed-integer nonlinear program with a piecewise approximation algorithm. The proposed algorithm is easy to implement and competitive to handle stationary as well as nonstationary random variables in place of scenario techniques. The mathematical model includes a real-life case study from a kiwi fruit distribution industry.

Findings

The study quantifies the performance of SC in terms of SC cost and fill rate. Additionally, it investigates the effects of disruption due to suppliers, transport losses, product perishability and demand stochasticity. The model incorporates an incentive-based strategy to provide cost-cutting in the existing business plan considering the effect of deterioration. The study performs sensitivity analysis to show various “what-if” situations and derives implications for managerial insights.

Originality/value

The study contributes to the scant literature of quantitative modeling of food SC. The research work is original as it integrates a stochastic (uncertain) nature of SC simultaneously coupled with the effect of disruption, transport losses and product perishability. It incorporates proactive planning strategies to minimize the disruption impact and the concept of incremental quantity discounts on lot sizes at a destination node.

Blockchain technology in supply chain operations: Applications, challenges and research opportunities

Blockchain is a technology with unique combination of features such as decentralized structure, distributed notes and storage mechanism, consensus algorithm, smart contracting, and asymmetric encryption to ensure network security, transparency and visibility. Blockchain has immense potential to transform supply chain (SC) functions, from SC provenance, business process reengineering to security enhancement. More and more studies exploring the use of blockchain in SCs have appeared in recent years. In this paper, we consider a total of 178 articles and examine all the relevant research done in the field associated with the use of blockchain integration in SC operations. We highlight the corresponding opportunities, possible societal impacts, current state-of-the-art technologies along with major trends and challenges. We examine several industrial sectors such as shipping, manufacturing, automotive, aviation, finance, technology, energy, healthcare, agriculture and food, e-commerce, and education among others that can be successfully revamped with blockchain based technologies through enhanced visibility and business process management. A future research agenda is established which lays the solid foundation for further studies on this important emerging research area.

Examining the role of dialogic communication and trust in donation-based crowdfunding tasks using information quality perspective

Purpose

The study explores the role of dialogic public communication and information quality (IQ) in evaluating the operational performance of donation-based crowdfunding (DBC) tasks. These tasks are primarily used to support disaster relief operations. The authors also test the influence of cognitive trust and swift trust as moderating variables in explaining the relationship between both IQ and dialogic communication with operational performance.

Design/methodology/approach

The authors used a primary survey to test the hypotheses. A total of 203 responses were collected from multiple crowdfunding platforms. The authors used archival data from task creators on donation-based crowdfunding platforms, and a structured questionnaire is also used to collect responses. Data are analyzed using Warp PLS 6.0. Warp PLS 6.0 works on the principle of partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Findings

The authors found out that the operational performance is explained significantly by the quality of information and its association with dialogic public communication. The results support the arguments offered by dialogic public communication theory and trust transfer theory in assessing the operational success of DBC. The study also confirms that cognitive trust positively moderates the relationship between IQ and organizational public dialogic communication and operational performance. It is also revealed that the duration of the DBC task has no significant control over dialogic public communication.

Practical implications

The study lays practical foundations for task creators on DBC platforms and website designers as it sets the importance of both IQ and dialogic communication channels. The communication made by the task creator and/or the DBC platforms with the donors and potential donors in the form of timely and appropriate information forms the key to the success of any DBC task. The study also helps task creators choose a suitable platform to improve performance.

Originality/value

The authors propose a unique framework by integrating two theoretical perspectives: dialogic public relation theory and trust transfer theory in understanding the operational performance of donation-based crowdfunding tasks. The authors address DBC tasks catering to disaster relief operations by collecting responses from task creators on DBC platforms. The study uniquely positions itself in the area of information and communication.

Benchmarking publication metrics for Indian business researchers

Purpose

There is no particularly efficient way to measure research output, but effectual assessment of research output is necessary to motivate and encourage researchers to enhance their research performance and disseminate knowledge. The purpose of this paper is to highlight the exacerbating pressure on Indian academics to deliver incessantly in terms of research output and identify an agreeable way to increase research output. The metric explores trends in management publications by Indian academics and presents an overview of collaborative practices by Indian management researchers that could shine a light on the trends of collaborative publishing future.

Design/methodology/approach

The study focuses on publications in the area of Business and Management. Scopus was used with advanced filters to draw relevant research papers. Data were then sorted and filtered on the basis of quality determined through Australian Business Deans Council rankings and diverse bibliometric information to understand the pattern of research output of Indian academics.

Findings

The research found that the rate of collaboration with researchers from the home country is low for top rated publications. Majority of publications were listed in Scopus indexed journals, whereas a handful featured in A and A* journals. A and A* journals were predominantly co-authored with academics from universities outside the country. Tradeoff was achieved by majority of authors by getting published in B, followed by C category journals to achieve research outputs.

Research limitations/implications

The study is limited to publications in the area of Business and Management and may be extended to other disciplines such as economics, engineering, law, medical sciences, etc., to understand publishing trends at universities in the country. The study can also be conducted in understanding a similar dilemma with academics at other countries that are evolving in research culture.

Practical implications

The study would help management researchers to dig deep into the root cause and understand why and how collaborations within and outside the country impact the quality of publications. The results would further encourage ranking agencies to award suitable grades to colleges that promote collaboration within the country as well as international collaboration. The study also conducts a benchmarking exercise of the institutions in the country that would be useful for researchers, journals and colleges.

Originality/value

While earlier studies have highlighted the importance of foreign collaborations in academic publishing, there are a handful of studies that have focused on the role of collaboration within the home country. The practice of Indian authors collaborating with Indian counterparts at other universities would help understand the expertise of researchers at different universities and encourage the collaboration process and quality of publications in the country.

The design and planning of an integrated supply chain for perishable products under uncertainties

Purpose

This paper aims to design an optimal supply chain network and to develop a suitable distribution planning under uncertainty for perishable product's supply chain. The ultimate goal is to help in making decisions under uncertain environments.

Design/methodology/approach

In this paper, stochastic programming is used under conditions of demand, supply and process uncertainties, and a non-linear mathematical model is developed for perishable product’s supply chain. Authors’ study considers disruptions in transportation routes and also within the facilities and investigates optimal facility location and shipment decisions while minimising the total supply chain cost. A scenario-based approach is used to model these disruptions. The retailer level uncertainty due to demand-supply mismatch is handled by incorporating the newsvendor model into the last echelon of supply chain network. In this paper, two policies are proposed for making decisions under uncertain environments. In the first one, the expected cost of the supply chain is minimised. To also consider the risk behaviour of the decision maker, authors propose the second policy through a conditional value-at-risk approach.

Findings

Authors discuss the model output through various examples that are provided via a case study from the milk industry. The supply chain design and planning of the disruption-free model are different from those of the resilient model.

Practical implications

Authors’ research benefits the perishable products industries which encounter the disruption problems in their transportation routes as well as in the facilities. Authors have demonstrated the research through a real-life case in a milk industry.

Originality/value

The major contribution of authors’ work is the design of the supply chain network under disruption risks by incorporating aspects of product perishability. This work provides insight into areas such as the simultaneous consideration of demand, supply and process uncertainties. The amalgamation of newsvendor model and the approximation of the non-linearity of retailer level cost function especially in the context of supply chain under uncertainty is the first of its kind. We provide a comprehensive statistical study of uncertainties that are present in the supply chain in a unique manner.

Health risks from PAHs and potentially toxic elements in street dust of a coal mining area in India

Polycyclic aromatic hydrocarbons (PAHs) and potentially toxic elements (PTEs) (Ba, Zn, Pb, Cu, Cr, Ni, As, Co) were determined in the road dusts of a coal mining area (Dhanbad, India) to assess their content and potential human health risks. Dust samples were collected from sign boards of the heavy traffic road connecting Dhanbad and Sindri. The total PAHs (∑PAHs, all values in mg/kg) content in the road dust samples varied from 3.98 to 13.1, with carcinogenic PAHs content of 14.8-34.4% of the ∑PAHs. Phenanthrene (2.72), fluorene (0.715) and pyrene (0.575) are the major PAHs. Principal component analysis revealed that these PAHs are probably originated from pyrogenic (coal combustion and traffic emission) and petrogenic (coal dust, tyre and road particles) sources. Among the PTEs, the mean content was higher for Ba (293 mg/kg) followed by Zn (224), Pb (128), Cu (52.6), Cr (45.2), Ni (22.0), As (17.5) and Co (8.11). The overall pollution load index varied from 0.43 to 1.0. Source analysis showed that PTEs in the road dust of the study site were derived from traffic emission (Zn, Fe, Mn, Co and Pb), coal dust (Cr, As and Ni) and soil (K, Mg, Ba, Sr and Ca). In general, the PTEs are lower, but the PAHs contents were elevated in the road dust samples. Although the exposure risks from PTEs are low, the risk to children (expressed as hazardous quotient) for As and Pb is near to the permissible limit of 1.0. Cancer risk from PAHs for adult (4.8 × 10^-6) and child (5.3 × 10^-6) has exceeded the acceptable limit of 10^-6.

Modelling the readiness factors for agility in healthcare organization: a TISM approach

Purpose

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

Design/methodology/approach

The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.

Findings

This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.

Research limitations/implications

This research focuses mainly on readiness factors for agility in healthcare sector.

Practical implications

Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.

Originality/value

In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

Efficiency analysis of Indian banking industry over the period 2008–2017 using data envelopment analysis

Purpose

The purpose of this paper is to estimate the relative efficiencies of banks of the Indian domestic banking sector by employing various models of data envelopment analysis (DEA) using the panel data of the recent decade (2008–2017). The paper provides a comparative analysis of these models based on the efficiency outputs. It compares the performance of banks based on their ownership and sizes and studies the decade-long trend of productivity using Malmquist indices.

Design/methodology/approach

This paper estimates overall technical, pure technical and scale efficiencies of 21 public sector banks and 17 private banks. It compares the descriptive statistics of efficiency estimates found out through 18 different DEA models and compares them using two non-parametric statistical tests. It studies the difference in efficiencies based on ownership and size by applying the same statistical tests. It employs the Malmquist index method to study the technological and technical progress in the banks’ productivity over the decade of FY 2008–FY 2017.

Findings

During FY 2016–2017, only 9 out of 38 banks were overall technically efficient with the whole sample having a mean overall technical inefficiency of 5 percent with scale inefficiency contributing more than pure technical inefficiency. The comparative study ascertains that private sector and public sector banks (PSBs) possess efficiencies that are similar based on super-efficiency slack-based model – variable returns to scale and non-oriented, a model that the authors argue to be the most suitable for the real-life business banking scenarios whereas the private sector banks possess better efficiency than the PSBs. The Malmquist indices prove that private sector banks have a higher increase in productivity based on both technological progress and efficiency improvements whereas PSBs had a loss of efficiency and comparatively less improvement in technology.

Research limitations/implications

This study has a limitation of choosing a single model of inputs and outputs. Improved insights can be drawn by employing more models based on different inputs and outputs. Further, relevance of each input and output can be examined using a regression-based feedback mechanism (Ouenniche and Carrales, 2018). The influence of environmental factors on the efficiencies can be studied using second-stage regression models and the relationship between efficiency scores and financial ratios can be examined.

Originality/value

This study is based on the panel data of the recent decade (2008–2017) and provides insights into the efficiency scenario of the Indian banking industry and how it changed over the past decade, to the leadership of banks, the banking regulators and the policy makers. The comparative analysis of DEA models based on a sample of Indian banks is first of its kind in the Indian context and helps the researchers to select an appropriate model and delve into further research on the same.

Metamagnetic transition and observation of spin-fluctuations in the antiferromagnetic Heusler compound Pd2MnIn

We report detailed investigations on the structural, magnetic, magneto-transport and calorimetric aspects of a partially ordered Heusler compound Pd₂MnIn. The sample shows antiferomagnetic (AFM) state below around 120 K, though positive paramagnetic Curie temperature signifies a complex magnetic ground state with the presence of both ferromagnetic (FM) and AFM correlations. A clear spin-flop type metamagnetic transition is observed as evident from the magnetization and resistivity data. However, non-saturation of magnetization even at 145 kOe of applied field implies that the high field state may be a spin canted state, originating from the enhanced FM correlations by field induced conduction electron spin polarization. The sample shows a profound quadratic temperature dependence of resistivity below about 20-25 K indicating a spin-fluctuation dominated low temperature region. Previous electronic structure calculations show the existence of a subtle balance between superexchange mediated AFM state and an RKKY (Ruderman-Kittel-Kasuya-Yoshida) interaction mediated FM state in Pd₂MnIn. Such competing AFM-FM correlations can be accounted for the observed spin fluctuations.

Effect of Linagliptin on Incretin-axis and Glycaemic Variability in T1DM

BACKGROUNDS AND OBJECTIVES

Short-term studies have demonstrated potential therapeutic efficacy of dipeptidyl peptidase 4 inhibitors (DPP4 inhibitors) in patients with poorly controlled T1DM. In this study we evaluated the effect of DPP4 inhibitor, linagliptin, on glycaemic control and variability, and incretinaxis in well controlled T1DM patients to mitigate the effect of glucotoxicity on incretin secreting cells.

METHODS

Twenty T1DM patients were randomized to receive either linagliptin (10 patients, dose-5 mg/day) or placebo (10 patients), in addition to insulin for 3 months. HbA1C, continuous glucose monitoring (CGM) and mixed meal test (MMT) were performed before and at the end of the study period.

RESULTS

HbA1C reduction and change in glycaemic variability and insulin requirement in the linagliptin group did not attain the level of statistical significance. The increase in AUC GLP1 (Area under curve for GLP1) and decrease in AUC glucagon (Area under curve for glucagon) during the MMT in linagliptin group were also statistically insignificant.

INTERPRETATIONS AND CONCLUSIONS

Linagliptin is not effective in reducing HbA1C and glycaemic variability in relatively well controlled T1DM patients.

First report of Chikungunya virus circulation during a dengue outbreak in Arunachal Pradesh, a Northeastern state of India

Dengue has become a major public health problem in Pasighat, Arunachal Pradesh since 2012 outbreak. This region is rich in Aedes mosquitoes, the common vector for Dengue and Chikungunya (CHIK), however, active surveillance of CHIK is lacking in this part of India. Therefore, this study has been undertaken to detect the presence of CHIKV infection during 2014 and 2015 dengue outbreak in Arunachal Pradesh. A total of 116 (52 during 2014 and 64 during 2015 outbreak) dengue negative serum samples were collected from General Hospital, Pasighat and were screened for the presence of CHIK IgM antibodies. All the samples were further processed for CHIKV RNA detection by RT-PCR using specific primers. Phylogenetic tree was constructed by Neighbor Joining method using Kimura-2 parameter model. A total of 8 samples were found to be positive for IgM antibodies. RT-PCR showed CHIKV RNA positivity in 2 samples. Both of these samples belonged to 2014 outbreak. Phylogenetic tree revealed that the CHIKV circulating during the outbreak belonged to Eastern, Central and Southern African genotype. Sequence analysis showed two uniform nucleotide substitutions. Circulation of CHIKV masked by dengue is reported from this study. Therefore, CHIKV diagnosis should be made as a routine test in areas where dengue is already endemic so as to prevent misdiagnosis of the disease and to check its accomplishment before commencing an outbreak.

Glassy magnetic ground state and Kondo-like behaviour in Mn10FeGe8 alloy

We report a detailed investigation of the ground-state magnetic properties of newly synthesized [Formula: see text] [Formula: see text] alloy. The sample can be thought of being derived by substituting one Mn atom by Fe of the parent compound [Formula: see text] [Formula: see text]. Fe-substitution leads to a drastic change in the magnetic ground state as well as to the magneto-transport properties of the parent alloy. On cooling below 250 K, [Formula: see text] [Formula: see text] undergoes a transition from paramagnetic phase to a state having significant ferromagnetic correlations. The ground state is found to be canonical spin glass (CSG) type in nature as evident from the dc magnetization and ac susceptibility measurements. Interestingly, the resistivity data shows an upturn at low temperature below about 30 K, mimicking Kondo-like behaviour. [Formula: see text] [Formula: see text] turns out to be a rare example among 3d transition metal alloys, where a Kondo-like state coexists within a CSG phase.

Effect of Skin Application of Dorogov's Antiseptic-Stimulant on Behavioral Reactions in Rats

Local application of the Dorogov's antiseptic-stimulant onto the skin of 2-month-old male Sprague-Dawley rats in a low dose (0.5 g/kg/day) for 1 week increased motor and ultrasonic activity of experimental animals and the content of activated c-Fos⁺ neurons on the cingular, motor, insular, and pyriform cortex and in the striatum.

The inheritance of juvenile onset primary open angle glaucoma

Juvenile onset open angle glaucoma (JOAG) affects patients before 40 years of age, who present with high intraocular pressure and deep steep cupping of the optic nerve head. While it was considered to be inherited in an autosomal dominant fashion, recent studies have shown an autosomal recessive pattern as well as sporadic occurrence of the disease in several families. In this review, we analyze the genetic basis of the disease along with common mutations and their association with JOAG. We also analyzed the inheritance patterns in a large group of unrelated JOAG patients (n = 336) from Northern India wherein the prevalence of familial occurrence was assessed and segregation analysis performed, to determine the mode of inheritance.