India Website Research Articles

EFFICACY OF AYURVEDA THERAPEUTICS IN PREVENTION AND MANAGEMENT OF COVID 19 PANDEMIC AND POST COVID RECOVERY PHASE: AN EVIDENCE BASED REVIEW

Corona virus disease 19 (COVID 19) is a dreaded disease caused by Severe Acute Respiratory Syndrome corona virus 2(SARS CO V2). This wide spread pandemic had taken whole world into custody, alone in India as per data available on myGov (Govt of India website) more than 3 cr. people affected and 4 lac surplus fatalities reported till 17 September 2021. Post COVID complications are also severe and hospitalisation is needed in some cases. Despite all the prophylactic and therapeutic measures been taken to contain the disorder, strategies to cure it thoroughly without other complications, is still a challenge. Though vaccination drive against COVID 19 is running successfully in India, medicines to minimise the impact and sufferings because of COVID is indispensable. Approaching holistically based on Dosha sidhanta Ayurveda therapeutics had shown favourable results in COVID positive patients. Ayurveda believes that disease manifestation is the result of imbalanced doshas, if we become competent to manage and pacify those doshas, disease can be cured. Vyadhipratyanik chikitsha (disease and symptoms targeting therapy) and Hetupratyanik chikitsha (cause and dosha targeting therapy) are the modules that are approached in Ayurveda system. Reviewing the previous work done in this field and observing COVID19 on Ayurveda parameters, Ayurveda medicines and therapeutics have been anticipated here to heal the scar impacted by precarious COVID 19. Much more researches and clinical interventions are required to establish kind of effective therapy.

Surgical Clinical Trials in India: Underutilized Opportunities.

Clinical trials in Surgery are central to research; however, very few surgical clinical trials are conducted in India. Such paucity of surgical trials is a cause for concern, and prompted us to explore the recent landscape of surgical trials in India. We reviewed all clinical trials from general surgery or subspecialties of general surgery registered with the Clinical Trials Registry of India website between 2018 to 15 th May 2021. Specific details such as the surgical subspecialty, study design, multicentric or single institution and funding were obtained. We found a total of 16,710 trials, out of these 4119 (24.6%) were related to all surgical fields. Only 136 (0.8%) trials were found from general surgery and its subspecialties. Most trials were registered from Central Government Institutions (48%), followed by State Government Medical Colleges (11%). Most number of trials was registered from GI surgery (32%). Most (90.5%) trials were single centre based. Common barriers to research are well known; if the State Government Medical Colleges can mentor a culture of research from an early stage of surgical training it can improve research productivity. Multicentre trials, involving smaller hospitals from tier 2 and tier 3 cities, are a potential solution to one of the major obstacles of surgical trials i.e. small number of patients; especially in this pandemic induced draught of elective surgical operations. A positive change in attitude of surgeons and provision of necessary funding can encourage more surgical clinical trials in India.

Graphic Design in Search of Its Identity

To encompass the multitude of activities currently attached to graphic design, scholars, practitioners, and other stakeholders have proposed a range of names in recent times. Owing to the expansion of the role and multiple proposed and prevalent nomenclatures in education and industry, some confusion and identity crisis exists. This study investigates and traces the journey of graphic design, how its roles and functions have evolved with time, and the challenge of assigning a universally acceptable nomenclature encompassing all that graphic design stands for now. Data has been collected from both primary and secondary sources to get a sense of the situation. The secondary sources helped understand the breadth of the problem, views of scholars, practitioners, and the education world. Primary sources helped establish the inconsistencies of nomenclature in graphic design education, mirroring the situation of graphic design’s expanded functions in the profession. Primary information has been collected from the design institutes’ official websites in India, government documents, and reports to understand prevalent names of similar study programmes. The paper calls for shared and renewed efforts by design associations, scholars, practitioners, and educationists to access the profession’s past, present, and future trajectory towards strengthening and reinforcing its identity

Is Sci-Hub Increasing Visibility of Indian Research Papers? An Analytical Evaluation

Sci-Hub, founded by Alexandra Elbakyan in 2011 in Kazakhstan has, over the years, emerged as a very popular source for researchers to download scientific papers. It is believed that Sci-Hub contains more than 76 million academic articles. However, recently three foreign academic publishers (Elsevier, Wiley and American Chemical Society) have filed a lawsuit against Sci-Hub and LibGen before the Delhi High Court and prayed for complete blocking these websites in India. It is in this context, that this paper attempts to find out how many Indian research papers are available in Sci-Hub and who downloads them. The citation advantage of Indian research papers available on Sci-Hub is analysed, with results confirming that such an advantage do exist.

The Effect of Age on COVID-19 Patient’s Outcome.

Background: The first case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified in Wuhan, China, in late 2019. In India the first case was reported on 30.01.2020, and first COVID-19 death occurred on10.03.2020.The CFR was 3.4% estimate by the World Health Organization (WHO) as of 03.03.2020. All age groups had significantly higher mortality compared with the immediately younger age group. The largest increase in mortality risk was observed in patients aged 60 to 69 years compared with those aged 50 to 59 years.Objective: To determine the effect of age on COVID-19 patient’s outcome.Methods: All the secondary data were collected either from the Indian institute statistics, Bangalore website or COVID-19 India website or github website or Indian government websites. The effect of age on COVID-19 patient’s outcome was determined. Results: Age at first quartile was 50 years in the deceased group whereas in recovered it was 25 years. The median age in the deceased group and recovered group were 59 and 34 years, respectively. Significant difference was observed in age between the deceased and recovered group. Age was showing a medium effect size (0.574) in the outcome of the COVID-19. The cut-off value of age for estimating risk of death was established by using ROC analysis. The cut-off value was 48 years. The sensitivity was 77.5% and the specificity was 78.8%. More than 48 years age group had a 13 times higher risk than the less than 48 years age group. Area under the curve was 0.855 (95% CI: 0.846 – 0.864).Conclusions: The present study suggest that the strong association between the age and outcome of COVID19 patients. We can predict the outcome of COVID19 patient based on their age. The outcome of COVID19 patient prediction may give better results with associated comorbid conditions. The cut off value of age for outcome was 48 yrs.

Banks and their technology investment decision are aligned or not – an experience of Indian banks

Purpose The purpose of this study is to measure the impact of technology spend on bank profitability focusing on Indian public and private sector commercial banks. The study also assesses the longevity duration of impact for both public and private sector banks. The trade-off is created between the bank’s profitability and technology spent across four identified columns: increase product sales, reduce cost, enhance employee efficiency and optimally use existing resources. Design/methodology/approach The metrics of four columns converted to measurable 11 financial alarming indicators and impact is again checked on profitability indicator ROE. The data used for empirical analysis for the study are between the year 2003 and 2019, across 12 public and 15 private banks. The interface between technology spend and profitability is measured using panel vector autoregression (VAR) and panel vector error correction model (VECM) and further the link between 11 financial indicators and profitability measures is established using panel data analysis. Findings The study found that there is a mixed effect of technology spent on profitability and performance of Indian banks, where public sector banks were found to be more unstructured over private sector banks. The study advises the optimal technology spend strategies to gain enhanced productivity for banking business which are to name a few – planned technology reserves, customer awareness campaigns for products, robust employee-customer motivation policy and customized technologies aligned to existing infrastructure. Originality/value The data was original and extracted from the Reserve bank of India website and respective banks’ annual reports.

Fragrance, Sunscreens, Botanicals, and Potential Allergens in Bestseller 'Fairness' Creams in the Indian Market: A Consumer Exposure Study.

Background:The skin lightening industry has seen exponential growth in India. Consumers often present to the dermatologist with adverse cutaneous reactions to these 'fairness' (skin lightening) creams. The composition of these creams has not received sufficient attention.Objective:To identify fragrance, sunscreens, botanicals and potential allergens in the bestseller 'fairness' creams available in the Indian market.Methods:Twenty fairness (or whitening or lightening) creams were selected based on the 'bestseller' creams of one of the largest electronic commerce websites in India, and availability in local stores and unlabelled brands were excluded. Fragrance, sunscreens, botanicals and potential allergens were identified from the ingredient labels.Results:Twenty bestseller fairness creams were included. The number of the listed ingredients in the fairness creams ranged from 6 to 49 (mean = 32.2). The most frequently listed ingredients included water, fragrance or parfum, glycerin, tocopherol/tocopherylacetate and titanium dioxide. Hydroquinone, monobenzyl hydroquinone, corticosteroids, tretinoin and mercury were not listed in any of the creams. Unspecified fragrance was listed in 19 (95%) creams and linalool (8,40%) was the most frequent specified fragrance. Titanium dioxide (14, 70 %) was the most common inorganic sunscreen and ethylhexyl methoxycinnamate (12 creams or 60% of creams) was the most common organic sunscreen. Twenty-seven botanicals were identified. Eight ingredients were potential allergens according to the Indian Cosmetic and Fragrance Series. The cost of the creams ranged from 95 to 1,095 in Indian rupees (mean 300.5).Conclusions:Consumers are exposed to a vast range of compounds in the quest for a lighter skin tone. Several potential allergens, particularly fragrance allergens, are present in addition to the eight allergens that were identified with the Indian Cosmetic and Fragrance Series. Increased awareness of the composition of skin lightening creams available in the market and strict regulation of these creams is needed.

Effects of the COVID-19 pandemic in India: An analysis of policy and technological interventions

ObjectivesFollowing a surge in cases of coronavirus disease 2019 (COVID-19) in June 2020, India became the third-worst affected country worldwide. This study aims to analyse the underlying epidemiological situation in India and explain possible impacts of policy and technological changes. MethodsSecondary data were utilized, including recently published literature from government sources, the COVID-19 India website and local media reports. These data were analysed, with a focus on the impact of policy and technological interventions. ResultsThe spread of COVID-19 in India was initially characterized by fewer cases and lower case fatality rates compared with numbers in many developed countries, primarily due to a stringent lockdown and a demographic dividend. However, economic constraints forced a staggered lockdown exit strategy, resulting in a spike in COVID-19 cases. This factor, coupled with low spending on health as a percentage of gross domestic product (GDP), created mayhem because of inadequate numbers of hospital beds and ventilators and a lack of medical personnel, especially in the public health sector. Nevertheless, technological advances, supported by a strong research base, helped contain the damage resulting from the pandemic. ConclusionsFollowing nationwide lockdown, the Indian economy was hit hard by unemployment and a steep decline in growth. The early implementation of lockdown initially decreased the doubling rate of cases and allowed time to upscale critical medical infrastructure. Measures such as asymptomatic testing, public–private partnerships, and technological advances will be essential until a vaccine can be developed and deployed in India. Public interest summaryThe spread of COVID-19 in India was initially characterized by lower case numbers and fewer deaths compared with numbers in many developed countries. This was mainly due to a stringent lockdown and demographic factors. However, economic constraints forced a staggered lockdown exit strategy, resulting in a spike in COVID-19 cases in June 2020. Subsequently, India became the third-worst affected country worldwide. Low spending on health as a percentage of gross domestic product (GDP) meant there was a shortage of hospital beds and ventilators and a lack of medical personnel, especially in the public health sector. Nevertheless, technological advances, supported by a strong research base, helped contain the health and economic damage resulting from the pandemic. In the future, measures such as asymptomatic testing, public–private partnerships, and technological advances will be essential until a vaccine against COVID-19 can be developed and rolled-out in India.

Perceived awareness, practices and perspectives on COVID-19 management among medical doctors in India: A repeated cross-sectional study

1. COVID19 India Website. https://www.covid19india.org/. Accessed October 10, 2020. Google Scholar

Identification and Analysis of Nitrogen Dioxide Concentration for Air Quality Prediction Using Seasonal Autoregression Integrated with Moving Average

Air quality is getting degraded every day, and this problem has by now caught the eyes of all the concerned authorities and people across the globe. In previous works, the forecasting could only be done for a very short interval of time, and the prediction was only reliable for up to 24 h. This work proposes a method that can be used to predict the Nitrogen dioxide (NO2) value, which in turn can be used to predict the air quality in the near future and warn the concerned authorities beforehand. The model used here is based on the concepts of autoregression and moving average. The primary reason for using these methods is the fact that the proposed model works on the concept of Time series analysis. The results show that proposed model Seasonal autoregression integrated moving average (SARIMA) performs better in terms of predicting future NO2 concentration with lower RMSE error when compared with Support vector machine and Linear regression on the dataset taken from a government of India website (data.gov.in) containing NO2 values in Delhi from the year 1987 to 2015. The results showed that the RMSE value (microgram per meter cube) computed using the proposed work was found to be 7.43 μg/m3, whereas for Support vector machine are 8.1 μg/m3 and for Linear regression are 8.5 μg/m3. Finally, the proposed model is also validated with the real-time one-week Delhi data for March 2020.

Evolution of higher education institution websites in India: a longitudinal study

Evolution of higher education institution websites in India: a longitudinal study

Non Performing Assets: A Burden on Banking Sector (An Assessment of Indian Commercial Banks’ Profitability)

After the evolution of new Industrial Policy 1991, banking system reforms became an important issue for the government. During this the reforms laid down by the Shri Narasimhan Rao Committee became quit important. It was at this time that the banking system was drastically transformed. These reforms adopted the international best practices to strengthen the functioning of banking industry. Many of these proposed reforms were implemented in the hopes of enhancing bank overall efficiency and lowering non-performing assets (NPA). The banks' profitability and financial efficiency would also improve as a result of this. For the purposes of this study, individual private sector banks, nationalised banks, and SBI and its affiliates were considered. The research is based on secondary data from the Reserve Bank of India's website for the years 2010 to 2017. The purpose of this research is to determine how banks have contributed to the growing threat and what the banking industry's trend has been in regards to these low-quality loans. The author has also attempted to research and analyse RBI's proposal to implement Basel III norms in the banking sector beginning in January 2013, as formulated by the Bank for International Settlements (BIS) in consultation with central banks operating in a number of countries around the world in their respective economies and following sound financial and operational policies.

A critical review of non-performing assets in the Indian banking industry

PurposeThe level of non-performing assets (NPAs) best indicates the soundness of the banking sector of a country. The purpose of this study is an effort to look into the contribution of the different banks individually to the NPA in the industry by looking into its growth pattern during the period 2010-2017. Further, the study is made to look into the effect of different groups of banks, namely, State Bank of India (SBI) and its associates, nationalised banks and private sector banks on the banking industry in this regard.Design/methodology/approachThe individual private sector banks, nationalised banks and SBI and its associates have been considered for the purpose of the study. The analysis is based on secondary data collected from the Reserve Bank of India website for the period 2010-2017. The geometric mean has been used as a statistical tool for arriving at the mean growth rate of gross NPAs. Further, refinement of the result is done by comparing the growth of gross NPAs of individual banks with that of the average growth rate.FindingsThe assessment of private sector banks reveals that the growth rate of NPAs is low as compared to the nationalised banks, as well as the SBI and its associates. The nationalised banks and the associate banks of SBI failed to handle the issue of poor loans effectively due to which the growth in such loans has been phenomenally high.Originality/valueThe research is interesting as the study period follows the financial crisis. There is no such previous study that has looked at the perspective of banking from this angle. The research is valuable from two angles. Firstly, it brings to light the situation of the different categories of banks with regard to NPAs. Secondly, the information can be useful for investors as the issue of poor loans is a relevant one for them because it has an impact on the profitability of banks and thereby the future prospects.

The construction of knowledge on “quality” in higher education: A study of universities’ websites in India

In the context of India, the current paper studies the ways in which select public and private universities are representing themselves on their own website. In the process, the objective is to reveal what claims on “quality” in higher education (HE), are made by these universities; and how and why marketing power/knowledge influences these claims. Adhering to a critical realist discourse analysis approach, the paper not only describes the discourse on “quality” in HE on the selected universities’ websites but also makes an attempt to explain why marketing power/knowledge has come to have causal influence over the ways of knowing about “quality” in HE. Invoking, a moderate constructionist theory which is compatible with critical realism, it is accepted that knowledge on “quality” in HE is constructed discursively. However, these constructions are also shaped by non-discursive factors such as materiality, structural, institutional and physical embodied elements. The paper finds marketing power/knowledge is invested in the statements—both visual and textual, particularly on private universities’ websites. As mainstream marketing literature and practice recognize HE as a service and conceptualizes student/parent as a consumer, these universities’ websites have emerged as a site of playing out internet marketing strategies. There is an emphasis on tangibilization of the so-called HE service so that a prospective “student/parent-consumer” can see and find it cognitively easy to understand “quality” in HE. Consequently, one finds an emphasis on the discourses of “rankings”, “recognitions”, and “infrastructure” on these websites. In addition to this, one also finds influence of post-modern marketing and post-modern attitude towards truth on these statements. Marketers believe more in the appeal of these statements than in their authenticity. However, instead of invoking a relativist approach where only cultural factors are invoked to explain these influences, this paper hints towards materiality such as the ephemerality of the web, among others, as causal factors shaping these discourses.

Evaluating state tourism websites using Search Engine Optimization tools

Applying Search Engine Optimization (SEO) tools such as TrafficEstimate and Twitter Search, Google Trends, Alexa, SimilarWeb, SEMRUSH, SEO Analyzer, and Moz-Open Site Explorer; this research comparatively evaluates tourism websites of the government of India and of five Indian states. The criteria for selecting state websites are the number of Foreign Tourists Arrival (FTA). Using each SEO tool, individual rank is given first and then the mode of ranks is taken to give the final ranking to six tourism websites. Though there is literature available on evaluating Indian government (central or state) run tourism websites, there is no research available on comparing and ranking state government tourism websites in the Indian context, using Search Engine Optimization tools presented in this research. The result shows that the government of India's website www.tourism.gov.in ranks fourth. Tourism websites of three states i.e. Delhi, Maharashtra, and Tamil Nadu ranks first, second, and third respectively.

Changing realty: altering paths of brand discovery for real estate websites in India

PurposeBrand awareness is a key cognitive metric and a vital component of consumer-based brand equity. Generating and maintaining brand awareness has been an important metric for brands and a significant outcome of advertising and promotional activities. Brand awareness has been studied over the years in the context of market share and mind share and is considered to be the fundamental starting point of a brand relationship. Most branding variables are challenged in their linear definitions by the multi-dimensionality of the connected online world. Consumers may start their brand journey with brand awareness and then proceed to explore higher options in a non-linear fashion. This challenges traditional advertising and brand salience models. In the web context, brand awareness could even happen with little prior cognitive processing. The purpose of this paper is to explore the little researched area of brand awareness in the context of Indian websites.Design/methodology/approachThe study leveraged technology to study the brand discovery behaviour of real estate website users in India. The authors looked at essentially modified processes such as the brand experience journey, specifically, the sources and antecedents of brand awareness for real estate websites. Considering the fact that direct and indirect traffic to a website is indicative of the brand awareness metrics, the authors analyse the metric as a basis of the comparison.FindingsBrand awareness in the digital world can be attributed as firm generated, user generated and, as the authors also discover, experience initiated. The altered dimensions have a profound impact on the brand advertising spends of not just digital brands, but all marketers who will find digital technology increasingly central to their brand communication efforts.Research limitations/implicationsBurgeoning websites and media proliferation have increased the source set for website discovery. Customers do not rely solely on advertising or chance encounter to discover a new brand. Usage of search engines remains the key point of discovery for brand awareness. Some of the respondents recognised websites from prior advertising exposure and selected the brand from the consideration set offered in the search results for their keyword search. In other cases, brand awareness followed brand experience as the users did not process the brand information or, in most cases, were not aware of the brand name prior to website visit. The quality of brand experience created brand awareness and had further implications, including brand visit intent.Practical implicationsWhile mass media television advertising and ubiquitous online advertising can build brand awareness, the impact of search engine advertising and search engine optimisation is equally significant, if not more important. Brand managers can additionally focus on branding on the search channel in the light of increasing search intensity. Beyond traditional keyword planning, this can be an enhanced branding platform for reaching out to specific behavioural or character traits of the target audience. Brand experience can mature from task completion to brand awareness and higher level values if the website includes key brand messages and goals.Originality/valueThis paper offers insight into the little known field of online brand management. Information intermediary websites are unique in their value proposition, and brand building is challenging. Real estate websites have grown in popularity, but have not merited researcher attention. This paper offers a unique perspective on branding websites, specifically in the context of emerging markets like India.

Evaluation of the indian institute of science education and research (IISER) library websites in India: A case study

Evaluation of the indian institute of science education and research (IISER) library websites in India: A case study

Library Websites of Central Universities in India: A Webometric Analysis

The central university library websites of India and their web impact factor (WIF), website analysis, web links and ranking were investigated in this study. Data were collected by using search engines such as Google, Yahoo and search engine optimisation tools, such as Backlink Watch and SEOquake add-on for Firefox browser. The result of the study indicates that the majority of the central university library websites in India have a higher number of web pages, and the numbers of link pages are less. Suggestions are given to improve the WIF of the examined library websites.

Forecasting road traffic accident deaths in India using seasonal autoregressive integrated moving average model

Background: As per World Health Organization (WHO) report 1.24 million people die each year as a result of road traffic accidents (RTA) globally. A vast majority of 20-50 million people suffer from non-fatal injuries, many of them ultimately end in disability. Forecasting RTA deaths could help in planning the intervention at the right time in an effective way.Methods: An attempt was made to forecast the RTA deaths in India with seasonal auto regressive integrated moving average (SARIMA) model. ARIMA model is one of the common methods which are used for forecasting variables as the method is very easy and requires only long time series data. The method of selection of appropriate ARIMA model has been explained in detail. Month wise RTA deaths for previous years data was collected from Govt. of India website. Data for 12 years (2001 to 2012) was extracted and appropriate ARIMA model was selected. Using the validated ARIMA model the RTA deaths are forecasted for 8 years (2013-2020).Results: The appropriate SARIMA (1,0,0) (2,1,0) 12 model was selected based on minimal AIC and BIC values. The forecasted RTA deaths show increasing trend overtime.Conclusions: There is an increasing trend in the forecasted numbers of road traffic accidental deaths and it also shows seasonality of RTA deaths with more number of accidents during the month of April and May in every years. It is recommended that the policy makers and transport authority should pay more attention to road traffic accidents and plan some effective intervention to reduce the burden of RTA deaths.

Empirical research on the adoption and diffusion of e-commerce portals

While many online businesses are spending much of their money on bringing the visitors to their websites, the rate at which the website visitors get converted to customers and do transactions is very less. This study investigated the various factors that affect the e-commerce conversion rate. Results of the online survey with 160 online consumers of various e-commerce websites in India indicate that visitor's experience, user interface experience, post purchase experience, streamlined checkout process, advertisement and promotion, and m-commerce significantly affect the visitor's willingness in doing transaction and becoming loyal customers.