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This study aims to assess the scholarly publications on e-government research. It highlights the research areas, developments, and innovations made concerning the research methods and methodological frameworks used to explore e-government research with specific reference to the journal 'Transforming Government: People, Process and Policy' (TGPPP). Findings reveal that research papers have the dominant position. A total of 22 unique research methods were found to be used in different frequencies within the study period. Some emerging methods employed in e-government research are design science research (DSR), living lab study, and social network analysis. Many innovative methodological frameworks and models have been used to explore the research studies about various aspects of e-government research. The study offers a unique way to evaluate the publications on e-government research from the perspective of methodological innovations. The findings can be used to better understand the trends of e-government research.

Poverty is a challenge in the development and growth of a nation and hence a social and economic phenomenon. Elimination of poverty is a primary goal, and policies towards this are framed, but its success rate generally falls below the targeted goals. China is probably the only country that has eliminated ‘absolute poverty’ in 2020, by specifically implementing a targeted policy for elimination of poverty. The policy adopted by China may be replicated by other countries for similar positive results. The article analyses the specific policies for poverty elimination in China, giving some actual results from the field. It also makes a historical exploration of the poverty policies by China.

Healthcare systems around the world are beset by problems due to the lack of effective communication. Significant problems relating to patient medical records access, transition, and storage have persisted due to the lack of resources to adequately interact and track records between all main participants. To overcome this challenge, a nationwide Electronic Health Record (EHR) solution may be utilized. To further enhance EHR efficiency, Blockchain technology can be used to improve security, performance, and cost. In this survey, various literature proposing Blockchain-based EHR systems are discussed, along with their benefits and potential research gaps. Also Authors proposed a comprehensive architecture that could bridge all the gaps.

One hundred years have passed since the discovery of insulin—an achievement that transformed diabetes from a fatal illness into a manageable chronic condition. The decades since that momentous achievement have brought ever more rapid innovation and advancement in diabetes research and clinical care. To celebrate the important work of the past century and help to chart a course for its continuation into the next, the Canadian Institutes of Health Research’s Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health’s National Institute of Diabetes and Digestive and Kidney Diseases recently held a joint international symposium, bringing together a cohort of researchers with diverse interests and backgrounds from both countries and beyond to discuss their collective quest to better understand the heterogeneity of diabetes and thus gain insights to inform new directions in diabetes treatment and prevention. This article summarizes the proceedings of that symposium, which spanned cutting-edge research into various aspects of islet biology, the heterogeneity of diabetic phenotypes, and the current state of and future prospects for precision medicine in diabetes.

Allotment of nurses to patients is a critical task in terms of better treatment. Nurses should be appointed according to a patient's health condition, type of disease, and financial condition. Again, understaffing of nurses may hamper patient health and condition. Similarly, overstaffing of nurses is a waste of manpower. Adequate staffing of nurses is crucial. The authors propose a technique using game theory to meet overstaffing and understaffing of nurses. Game theory plays a vital role to meet the exact requirement. Nash equilibrium can be used for taking all possible decisions, like appointment of nurses in different categories for smooth treatment of patients. However, the final and most suitable decision can be taken using perfect Nash equilibrium. This technique is a perfect technique to implement in case of vital and critical decision points.

The awareness related to fertility is of great importance due to the change in lifestyle habits. Semen analysis is a reliable confirmatory test to check the fertility in men. The supervised machine learning models of base classifiers include Decision Tree, Logistic Regression and Naive Bayes classifiers in which logistic regression shows a promising accuracy of 88%. Comparing with the bagging ensemble method for the weakest classifier, the results show a leap in accuracy from 78.80% to 90.02%. The authors have also attempted to design a novel voting classifier which votes over the ensemble learners and creates a more complex model to give an accuracy of 89%. Apart from this, the authors have also analyzed the receiver operating characteristic (ROC) curve for Extra Tree classifier which shows a 66% of area under the curve (AUC). The validation procedure used is a 5 fold cross-validation. The authors have further analyzed the lifestyle habits responsible for contributing to this problem based on impurity-based feature selection and have obtained ‘Age' as the most crucial factor in declining seminal quality.

Governments globally are striving to improve citizens’ service delivery by adopting digital technologies, such as online portals and call centres. Although digitization provides an opportunity to improve citizens’ satisfaction, to design citizen centric e-government services, agencies need to proactively understand citizens’ experiences. This study explored the Google Play reviews of UMANG (an aggregated e-government mobile application of the Government of India). We aggregated 4,921 reviews provided from March 2020 to April 2021. We first theoretically (using the S-O-R framework) and empirically (link between sentiment polarity and user rating) examined the validity of user reviews to extract insights into citizens’ experiences. Subsequently, we extracted eight topics related to citizens’ experiences by using latent Dirichlet allocation, an unsupervised machine learning algorithm. The following topics were identified—perceived usefulness, ease of use, product feature experience, delivery turnaround time, technological experience, login experience, customer care experience, and payment experience. We validated identified topics by determining the inter-rater agreement between LDA and human rater output. Finally, we calculated the relative importance of the identified topics and topic-wise sentiment polarity. The findings of this study can help in designing citizen centric e-government services and prioritizing the right dimension of citizens’ experience.

The paper traces the origin of the Middle East conflict and discusses the gradual evolution of the Israel-Palestine conflict from a historical perspective. The paper discusses the peace negotiations undertaken for the region during different periods and the contribution of the international community in reaching a compromise formula. The paper discusses the emergence and the role of Hamas and how it gained political legitimacy. The paper concludes with the views of Israel and India perspective.

Purpose: The purpose of this paper is to examine the impact of a customer engagement-enabling platform on a value captured by the firm and value acquired by the customer. It explores the relevance of relational and expertise value for customers during the engagement process so as to ensure positive referrals about the service provider. Design/methodology/approach: Using a sample of 482 students, the study examines the customer engagement efforts of professional institutes that provide training to prepare for the civil service examinations of the Union Public Service Commission. The survey is confined to central areas of New Delhi, India. Statistical techniques including confirmatory factor analysis and structural equation modelling are used to analyse the data, and reliability and validity tests are performed. Findings: The findings reveal the indispensable role of service providers as creators of a meaningful effective learning process and of interpersonal relations with customers for generating more business through customer referrals. Research limitations/implications: The study validated the moderating role of relational value between customers’ expertise value and their referrals on the basis of motivation theory, which asserts that customers’ motivation to contribute to the organisation is driven by the individuals’ extrinsic relational need for belongingness, acceptance by like-minded individuals, and feedback, recognition and respect from employees of the organisation. Originality/value: The study contributes to the existing literature by integrating the well-developed social exchange and motivation theory so as to investigate the factors that propel customers’ positive word of mouth for the service provider.

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Glucagon-like-peptide-1 receptor agonists (GLP1RA) are incretin agents initially designed for the treatment of type 2 diabetes mellitus but due to pleiotropic actions are now used to reduce cardiovascular disease in people with type 2 diabetes mellitus and in some instances as approved treatments for obesity. In this review we highlight the biology and pharmacology of GLP1RA. We review the evidence for clinical benefit on major adverse cardiovascular outcomes in addition to modulation of cardiometabolic risk factors including reductions in weight, blood pressure, improvement in lipid profiles, and effects on kidney function. Guidance is provided on indications and potential adverse effects to consider. Finally, we describe the evolving landscape of GLP1RA and including novel GLP1 based dual/poly-agonist therapies which are being evaluated for weight loss, type 2 diabetes mellitus, and cardiorenal benefit.

Supplemental Digital Content is available in the text.

Purpose:In addition to its direct action on the liver to lower hepatic glucose production, insulin action in the central nervous system (CNS) also lowers hepatic glucose production in rodents after 4 hours. Although CNS insulin action (CNSIA) modulates hepatic glycogen synthesis in dogs, it has no net effect on hepatic glucose output over a 4-hour period. The role of CNSIA in regulating plasma glucose has recently been examined in humans and is the focus of this review.Methods and Results:Intransal insulin (INI) administration increases CNS insulin concentration. Hence, INI can address whether CNSIA regulates plasma glucose concentration in humans. We and three other groups have sought to answer this question, with differing conclusions. Here we will review the critical aspects of each study, including its design, which may explain these discordant conclusions.Conclusions:The early glucose-lowering effect of INI is likely due to spillover of insulin into the systemic circulation. In the presence of simultaneous portal and CNS hyperinsulinemia, portal insulin action is dominant. INI administration does lower plasma glucose independent of peripheral insulin concentration (between ∼3 and 6 h after administration), suggesting that CNSIA may play a role in glucose homeostasis in the late postprandial period when its action is likely greatest and portal insulin concentration is at baseline. The potential physiological role and purpose of this pathway are discussed in this review. Because the effects of INI are attenuated in patients with type 2 diabetes and obesity, this is unlikely to be of therapeutic utility.

To review new evidence that dietary monosaccharides enhance intestinal chylomicron secretion.

A major effort is currently underway to develop a large-scale treebank for Indian low resource Languages (ILRLs). Apart from that, a rich and large-scale treebank can be an essential resource for linguistic investigations. This paper presents the first publicly available treebank of Santali low resource Indian language. The treebank contains 307 tokens (51 sentences) in the Santali language. All the selected sentences are manually annotated following the Universal Dependency guidelines. The morphological analysis of the Santali treebank was performed using machine learning techniques. The Santali annotated treebank will enrich the Santali language resource and will help in building language technology tools for cross-lingual learning and typological research. We also built a preliminary Santali parser using a machine learning approach. Finally, the paper briefly discusses the linguistic analysis of the Santali UD treebank.

In this paper, interactions among fuzzy, rough, and soft set theory has been studied. The authors have examined these theories as a problem solving tool in association rule mining problems of data mining and knowledge discovery in databases. Although fuzzy and rough set have been well studied areas and successfully applied in association rule mining problem, but soft set theory needs more attention from both theoretical and practical side. Therefore, to make some improvement in this direction, the authors studied soft set theory and its interaction with fuzzy and rough set. Alongside, the authors have taken a numerical example related to a societal problem for realizing the practical importance of these theories.

Olfactory receptors (ORs) are responsible for recognition of odor molecules. The deoxyribonucleic acid (DNA) sequences of these receptors are severely affected by local mutations. Therefore, to study the changes among affected and non-affected ORs, the authors attempted to use unsupervised learning (clustering) algorithm. In this paper, they have used a scaled fuzzy graph model for clustering to study the changes before and after the local mutation on DNA sequences of ORs. Their simulation study at the fractional dimensional level confirms its accuracy.

Dyslipidemia is a prominent feature of type 2 diabetes and insulin resistance that contributes to increased atherosclerosis and cardiovascular disease (CVD) risks under these conditions. Incretin-based therapies (GLP-1 receptor agonists and DPP-4 inhibitors) have recently been developed and are approved for clinical use for treatment of type 2 diabetes. Besides improved glycemic control, other benefits are being increasingly appreciated, one of which is improved plasma lipid profile. This review aims to summarize the evidence and potential mechanism of such agents in humans in modulating fasting and postprandial lipoprotein metabolism.

AbstractLack of trust in online transactions has been cited, by scholars in the past, as the main reason for the dislike of online shopping. The objective of this paper is to develop a framework for studying the influence of website characteristics on Trust in online travel portals and empirically validate it. In the first phase, a causal model is developed in which the relative importance attached to the different website characteristics, to generate trust in online travel portals, are identified. In the next phase, a set of models has been proposed, that focus on the customers' personal variables, i.e., demographic and psychographic—that moderate the relationship between these antecedents of trust, and trust. Our empirical model offers insights into the relative importance of the website characteristics contributing to trust in travel portals across customers of varying psychographic and demographic values in India.

MicroRNAs (miRNAs) expressed in the hypothalamus are capable of regulating energy balance and peripheral metabolism by inhibiting translation of target messenger RNAs (mRNAs). Hypothalamic insulin resistance is known to precede that in the periphery, thus a critical unanswered question is whether central insulin resistance creates a specific hypothalamic miRNA signature that can be identified and targeted. Here we show that miR-1983, a unique miRNA, is upregulated in vitro in 2 insulin-resistant immortalized hypothalamic neuronal neuropeptide Y-expressing models, and in vivo in hyperinsulinemic mice, with a concomitant decrease of insulin receptor β subunit protein, a target of miR-1983. Importantly, we demonstrate that miR-1983 is detectable in human blood serum and that its levels significantly correlate with blood insulin and the homeostatic model assessment of insulin resistance. Levels of miR-1983 are normalized with metformin exposure in mouse hypothalamic neuronal cell culture. Our findings provide evidence for miR-1983 as a unique biomarker of cellular insulin resistance, and a potential therapeutic target for prevention of human metabolic disease.

This conference communication discusses insights from the roundtable discussion for reviving tourism in the post-pandemic era, conducted by the Centre for Marketing in Emerging Economies at the Indian Institute of Management, Lucknow, India. A varied group of eminent members from government, industry, and academia deliberated on the challenges, possible solutions, and way forward with regard to reviving the tourism sector amidst Covid-19 uncertainties. Major outcomes emerging from a roundtable discussion among experts were textually analysed. A survey was conducted among attendees to assess the degree of willingness to travel and related concerns. A framework was developed with a workable action plan for boosting tourism. Implications for practice and suggestions for future research are provided.

The paper is a brief analysis of the various discussions and news reported in media of four countries, after the abrogation of Art. 35(A) and Art. 370. The paper also discusses the historical genesis of the Kashmir dynamics and how the Kashmir conflict has assumed different perceptions and distinction amid the international community. The paper tries to present the depiction of Kashmir, after abrogation, to the international audience within the bilateral dimension between India and Pakistan. Adhering to the principle of neutrality, the paper presents some of the factual topics of discussion after the abrogation of the special status of Kashmir under Art. 370 and Art. 35A. The paper analyzes the news and debates in Chinese CGTN TV and Global Times; select American print media Washington Post, New York Times, and USA Today; the India Today TV and Pakistan’s Geo News and ARY News. The paper shows how the contents vary according to the suitability of the particular countries’ priority and policies.

Atypical antipsychotics (AAP) can induce hypertriglyceridaemia and type 2 diabetes. Weight gain contributes to these effects, but there is evidence that AAP can have acute metabolic effects on glycaemia independent of weight change. We undertook a single‐blind crossover study in eight healthy volunteers to assess whether the AAP olanzapine acutely increases triglyceride and free fatty acid in response to a high‐fat oral load (50 g fat with no carbohydrate) and whether these effects are attenuated by the dopamine D2 receptor agonist bromocriptine. Participants underwent three treatments in random order: Olanzapine 10 mg plus placebo (OL + PL), Olanzapine 10 mg plus bromocriptine 5 mg (OL + BR) and placebo plus placebo (PL + PL). Olanzapine increased plasma prolactin, an effect that was reversed by co‐administration of the D2 receptor agonist bromocriptine (P= .0002). There were no significant differences in postprandial triglyceride (P= .8), free fatty acid (P= .4) or glucose (P= .8). These results suggest that AAPs likely do not directly increase postprandial lipids but may do so indirectly via changes in body weight and/or glycaemia. Atypical antipsychotics are causally linked to gysglycaemia and dyslipidaemia. These effects are in part mediated by weight gain, but prior evidence suggests that these drugs may have direct effects on glucose acutely, in the absence of weight gain. Here, we assessed the acute effects of olanzapine on postprandial lipids, in the absence of dysglycaemia and weight gain. We found no acute effects of this atypical antipsychotic. This suggests that the dyslipidaemic effects are likely mediated by weight gain and/or dysglycaemia.