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Article
Publication date: 14 April 2022

Priyanka Tripathi, Prabha S. Dwivedi and Shreya Sharma

The COVID-19 outbreak has significant psychological effects because of reduced support system and social quarantine, making women the worst-hit population of shadow pandemic, i.e…

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Abstract

Purpose

The COVID-19 outbreak has significant psychological effects because of reduced support system and social quarantine, making women the worst-hit population of shadow pandemic, i.e. domestic violence. While food shortages, unemployment and increased domestic-work burdens are the immediate effects of the lockdown, women at home have to bear its far-reaching impacts in the long term in the form of domestic abuse, making the study of the psychological impact of domestic violence against women imperative. This paper aims to identify the factors and causes responsible for domestic violence and its psychological impacts on women in different aspects. This paper further focuses on the reasons behind an escalation in psychological violence against women.

Design/methodology/approach

This paper is based on extrapolating data from various journal articles, Indian Government reports, newspaper articles and other printed materials that are recent, relevant and discuss domestic violence and mental stress during the COVID-19 pandemic. Researchers use Indian National Commission for Women’s (NCW) data on complaints received regarding violence against women and domestic abuse in the year 2020 and 15 journal articles that discuss domestic violence against women during the COVID-19 period in different countries to discuss social inequalities and power relations impact on women’ mental health.

Findings

The findings suggest that economic instability during the pandemic and social and cultural norms of India ignited psychological abuse against women during the pandemic. The number of monthly complaints of dowry death, dowry harassment and protection of women against domestic violence reflect on increased registered complaints in the postlockdown period in the year 2020. The number of monthly complaints received by the NCW from January 2020 to December 2020 in India represents that WhatsApp chat is a powerful tool for reporting domestic violence.

Originality/value

The pandemic lockdown has an adverse psychological impact on women, making them suffer from posttraumatic symptoms, substance abuse, panic attacks, depressions, hallucinations, eating disorders, self-harm, etc. This paper strives to reflect upon mitigation strategies to curb domestic violence in India.

Details

International Journal of Human Rights in Healthcare, vol. 16 no. 2
Type: Research Article
ISSN: 2056-4902

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Article
Publication date: 19 August 2022

Debashrita Dey and Priyanka Tripathi

This study aims to reflect on how the COVID-19 pandemic has intensified the social and economic vulnerability of Indian elderly women, thereby making them prone to varied forms of…

81

Abstract

Purpose

This study aims to reflect on how the COVID-19 pandemic has intensified the social and economic vulnerability of Indian elderly women, thereby making them prone to varied forms of abuse and denying them of the basic rights of secured existence.

Design/methodology/approach

This study was conducted by analyzing primary data from government sources that dealt with the aging Indian population and the common predicaments that elderly women experienced during the pandemic. A qualitative interview was conducted in three old-age homes in India where the experiences of 26 elderly female residents were documented for understanding their experiences during the pandemic. The secondary data collected from different newspaper articles and online resources also enabled in perusing the difficulties that they faced both at home and the caregiving space at the critical juncture of COVID-19.

Findings

Nearly 73% of the elderly population in the country has faced an incidence in different forms of abuse and exploitation during the subsequent waves of the pandemic. Disrespect and neglect were the most common type of mistreatment and around 23.1% reported physical assault. The elderly women were victimized further on socioeconomic grounds and their rights of living a secured and dignified life were significantly neglected.

Research limitations/implications

The basic premise of this paper operates on the ground that the family as an institution has shunned taking care of the responsibilities vis-a-vis the elderly and therefore formal institutions have been introduced to aid in the conventional caretaking responsibilities in the Indian societal structure. This situation became all the more grave during the pandemic and therefore needed much intervention. This paper follows the theoretical lens of gender theory and case study method to analyze the data.

Social implications

The HelpAge India report findings entail that elderly women/widows are doubly marginalized in the Indian society, and the COVID-19 pandemic has escalated the caregiver stress on manifold levels, thus exacerbating the problem. As most of the female senior citizens are economically dependent on their children and relatives, financial exploitation became one of the important premise that deprived them of a healthy living both at home and elderly caregiving institution. Despite the prevalence of certain elderly assistance schemes in the country, the older women’s needs and well-being got heavily impacted and their voice gets hardly recognized in the wider spectrum of sociopolitical events. To extend the requisite help and assistance to this socially vulnerable section, the government on September, 2021, launched a pan-India, toll-free helpline number “Elder Line” to provide relevant information on elderly legal and medical aid and guidance on procuring pension.

Originality/value

According to the secondary findings, a significant percentage of elderly women have been susceptible to physical and emotional abuse and factors such as widowhood, economic dependency, physical infirmity, cognitive impairment along with other stressors have aggravated their exposure to ill-treatment during the pandemic span. Thus, to recognize and mitigate the existing problems affecting the elderly subjects, the government should devise the necessary protocols and adopt essential measures to ensure the welfare of the marginalized section and protect their basic rights of a holistic existence.

Details

International Journal of Human Rights in Healthcare, vol. 17 no. 1
Type: Research Article
ISSN: 2056-4902

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Article
Publication date: 29 November 2023

Tarun Jaiswal, Manju Pandey and Priyanka Tripathi

The purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional…

51

Abstract

Purpose

The purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional encoder–decoder networks (DyCNN). Typical convolutional neural networks (CNNs) are unable to capture both local and global contextual information effectively and apply a uniform operation to all pixels in an image. To address this, we propose an innovative approach that integrates a dynamic convolution operation at the encoder stage, improving image encoding quality and disease detection. In addition, a decoder based on the gated recurrent unit (GRU) is used for language modeling, and an attention network is incorporated to enhance consistency. This novel combination allows for improved feature extraction, mimicking the expertise of radiologists by selectively focusing on important areas and producing coherent captions with valuable clinical information.

Design/methodology/approach

In this study, we have presented a new report generation approach that utilizes dynamic convolution applied Resnet-101 (DyCNN) as an encoder (Verelst and Tuytelaars, 2019) and GRU as a decoder (Dey and Salemt, 2017; Pan et al., 2020), along with an attention network (see Figure 1). This integration innovatively extends the capabilities of image encoding and sequential caption generation, representing a shift from conventional CNN architectures. With its ability to dynamically adapt receptive fields, the DyCNN excels at capturing features of varying scales within the CXR images. This dynamic adaptability significantly enhances the granularity of feature extraction, enabling precise representation of localized abnormalities and structural intricacies. By incorporating this flexibility into the encoding process, our model can distil meaningful and contextually rich features from the radiographic data. While the attention mechanism enables the model to selectively focus on different regions of the image during caption generation. The attention mechanism enhances the report generation process by allowing the model to assign different importance weights to different regions of the image, mimicking human perception. In parallel, the GRU-based decoder adds a critical dimension to the process by ensuring a smooth, sequential generation of captions.

Findings

The findings of this study highlight the significant advancements achieved in chest X-ray image captioning through the utilization of dynamic convolutional encoder–decoder networks (DyCNN). Experiments conducted using the IU-Chest X-ray datasets showed that the proposed model outperformed other state-of-the-art approaches. The model achieved notable scores, including a BLEU_1 score of 0.591, a BLEU_2 score of 0.347, a BLEU_3 score of 0.277 and a BLEU_4 score of 0.155. These results highlight the efficiency and efficacy of the model in producing precise radiology reports, enhancing image interpretation and clinical decision-making.

Originality/value

This work is the first of its kind, which employs DyCNN as an encoder to extract features from CXR images. In addition, GRU as the decoder for language modeling was utilized and the attention mechanisms into the model architecture were incorporated.

Details

Data Technologies and Applications, vol. 58 no. 3
Type: Research Article
ISSN: 2514-9288

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Article
Publication date: 2 November 2020

Nikhil Yadav, Priyanka Tandon, Ravindra Tripathi and Rajesh Kumar Shastri

The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.

533

Abstract

Purpose

The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.

Design/methodology/approach

The study uses the augmented Dickey–Fuller test for the presence of unit root, Johansen cointegration test for estimating the cointegration among the variables. Further, in the case of no cointegration found, the study employed the vector autoregression (VAR) model to estimate the long-run relationship and the Granger causality/Wald test for short-run relationship. The study also conducted tests for the prerequisites of the model: serial correlation, heteroskedasticity and normality of data.

Findings

The study found that both the variables, crude oil prices and Sensex are integrated of order 1, that is, I (1), and there is no cointegration between them. Further, the results proliferated from the VAR model unfold the marked effect of previous month crude oil prices (lag 1) on the movement of Indian stock market represented by Sensex considered as the benchmark index. Furthermore, VAR–Granger causality/block exogeneity Wald tests results indicated that there is a causal relationship between the crude oil prices and Sensex under the VAR environment. The model does not have any serial correlation and heteroskedasticity indicating toward the unbiased and robust estimates.

Research limitations/implications

The study is conducted till the year 2018, and data for the present period (post-2018) is excluded due to ongoing trade issues between the USA and oil-exporting countries such as Iran. The current COVID-19 outbreak has also put serious issues. Due to limited time and availability of standardized data, researchers have considered Sensex as equity index only, but for more generalized research outcome few other equity indexes could have been taken for study.

Originality/value

The study is completely original in nature and is an extensive study of the relationship between the crude oil price and Indian stock market with reference to causality between the variables.

Details

Benchmarking: An International Journal, vol. 28 no. 2
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 6 June 2023

Shekhar Saroj, Rajesh Kumar Shastri, Priyanka Singh, Mano Ashish Tripathi, Sanjukta Dutta and Akriti Chaubey

Human capital is a portfolio of rich skills that the labour possesses. Human capital has attracted significant attention from scholars. Nevertheless, empirical findings on the…

428

Abstract

Purpose

Human capital is a portfolio of rich skills that the labour possesses. Human capital has attracted significant attention from scholars. Nevertheless, empirical findings on the utility of human capital have often been divided. To address the research gap in the literature, the authors attempt to understand how human capital plays a significant role in financial development and economic growth nexus.

Design/methodology/approach

The authors rely on secondary data published by the World Bank. The authors use econometric tools such as the autoregressive distributive lag (ARDL) model and related statistical tests to study the relationship between human capital, India's financial growth and gross domestic product (GDP) growth.

Findings

Study findings suggest that human capital and financial development contribute significantly to economic growth. Further, the authors found that human capital has a positive and significant moderating effect on the path of joining financial development and economic growth.

Practical implications

The study contributes to the human capital debate. Despite the rich body of literature, the study based on World Bank data confirms the previous findings that investment in human capital is always useful for the financial and economic growth of the nation.

Originality/value

This paper reveals some unique findings regarding effect of financial development and economic growth nexus which opens the window of new dimension to think about their nexus. It also provides a different pathway to foster the economic growth by using human capital and financial development as together, especially in India.

Details

Benchmarking: An International Journal, vol. 31 no. 4
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 28 July 2022

Priyanka Sakare, Saroj Kumar Giri, Debabandya Mohapatra and Manoj Kr Tripathi

This paper aims to study the color change kinetics of lac dye in response to pH and food spoilage metabolites (ammonia, lactic acid and tyramine) for its potential application in…

182

Abstract

Purpose

This paper aims to study the color change kinetics of lac dye in response to pH and food spoilage metabolites (ammonia, lactic acid and tyramine) for its potential application in intelligent food packaging.

Design/methodology/approach

UV-Vis spectroscopy was used to study the color change of dye solution. Ratio of absorbance of dye solution at 528 nm (peak of ionized form) to absorbance at 488 nm (peak of unionized form) was used to study the color change. Color change kinetics was studied in terms of change in absorbance ratio (A528/A488) with time using zero- and first-order reaction kinetics. An indicator was prepared by incorporating lac dye in agarose membrane to validate the result of study for monitoring quality of raw milk.

Findings

Dye was orange-red in acidic medium (pH: 2 to 5) and exhibited absorbance peak at 488 nm. It turned purple in alkaline medium (pH: 7 to10) and exhibited absorbance peak at 528 nm. The change in absorbance ratio with pH followed zero-order model. Acid dissociation constant (pKa) of dye was found to be 6.3. Color change of dye in response to ammonia and tyramine followed zero-order reaction kinetics, whereas for lactic acid, the first-order model was found best. In the validation part, the color of the indicator label changed from purple to orange-red when the milk gets spoiled.

Originality/value

The study opens a new application area for lac dye. The results suggest that lac dye has potential to be used as an indicator in intelligent food packaging for detection of spoilage in seafood, meat, poultry and milk.

Details

Pigment & Resin Technology, vol. 53 no. 1
Type: Research Article
ISSN: 0369-9420

Keywords

Available. Content available
Book part
Publication date: 29 December 2023

Abstract

Details

World Healthcare Cooperatives: Challenges and Opportunities
Type: Book
ISBN: 978-1-80455-775-4

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Book part
Publication date: 29 December 2023

Sneha Kumari, V. G. Venkatesh, Priyanka Sunil Kothmire, M. P. Sukumaran Nair and K. K. Tripathy

The global healthcare industry is one of the largest and fastest-growing service industries in the world. The respective benefits of public and private healthcare systems are…

Abstract

The global healthcare industry is one of the largest and fastest-growing service industries in the world. The respective benefits of public and private healthcare systems are continually debated, but a third way – that of healthcare cooperatives – is emerging as an alternative method for managing the well-being of the population. There is a growing demand for bringing together successful cases and models of healthcare cooperatives across the world. This chapter focuses on the initiatives of successful healthcare cooperative models from different parts of the world. The chapter highlights the Health cooperative’s capability to deliver positive outcomes through healthcare services that are sustained through the collaborative efforts of their members, with remarkable examples and models established in every corner of the world. Such cooperatives provide hospitals and infrastructure, medical facilities, biotechnology, information technology, and all other healthcare services. With this objective, the chapter will help to understand the initiatives in healthcare cooperatives in different parts of the world.

Details

World Healthcare Cooperatives: Challenges and Opportunities
Type: Book
ISBN: 978-1-80455-775-4

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Article
Publication date: 5 March 2018

Sajjad Tofighy and Seyed Mostafa Fakhrahmad

This paper aims to propose a statistical and context-aware feature reduction algorithm that improves sentiment classification accuracy. Classification of reviews with different…

187

Abstract

Purpose

This paper aims to propose a statistical and context-aware feature reduction algorithm that improves sentiment classification accuracy. Classification of reviews with different granularities in two classes of reviews with negative and positive polarities is among the objectives of sentiment analysis. One of the major issues in sentiment analysis is feature engineering while it severely affects time complexity and accuracy of sentiment classification.

Design/methodology/approach

In this paper, a feature reduction method is proposed that uses context-based knowledge as well as synset statistical knowledge. To do so, one-dimensional presentation proposed for SentiWordNet calculates statistical knowledge that involves polarity concentration and variation tendency for each synset. Feature reduction involves two phases. In the first phase, features that combine semantic and statistical similarity conditions are put in the same cluster. In the second phase, features are ranked and then the features which are given lower ranks are eliminated. The experiments are conducted by support vector machine (SVM), naive Bayes (NB), decision tree (DT) and k-nearest neighbors (KNN) algorithms to classify the vectors of the unigram and bigram features in two classes of positive or negative sentiments.

Findings

The results showed that the applied clustering algorithm reduces SentiWordNet synset to less than half which reduced the size of the feature vector by less than half. In addition, the accuracy of sentiment classification is improved by at least 1.5 per cent.

Originality/value

The presented feature reduction method is the first use of the synset clustering for feature reduction. In this paper features reduction algorithm, first aggregates the similar features into clusters then eliminates unsatisfactory cluster.

Details

Kybernetes, vol. 47 no. 5
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 24 September 2024

Sheetal Bhagat, Suvidha Khanna, Priyanka Sharma and Dada Ab Rouf Bhat

The purpose of this study is to investigate the influence of credibility and information quality (IQ) of online food vloggers on consumer attitude and purchase intention towards…

177

Abstract

Purpose

The purpose of this study is to investigate the influence of credibility and information quality (IQ) of online food vloggers on consumer attitude and purchase intention towards street food consumption. It also examines the relationship between consumer attitude and purchase intention influenced by online food vlogger reviews in North India.

Design/methodology/approach

In order to evaluate the framework, primary data were gathered from 389 street food consumers located in Jammu, Chandigarh and Delhi – cities situated in northern India. The collected data were then subjected to analysis using the partial least squares-structural equation modeling (PLS-SEM) techniques.

Findings

The results indicate that the perceived value of street food, influenced by the credibility of food vloggers and the quality of information provided, has a positive impact on consumer attitude and purchase intention towards street food consumption. A positive impact of consumer attitude on the purchase and consumption of street food was also observed.

Originality/value

This research offers a thorough investigation into the elements that influence consumers' opinions regarding vloggers endorsements. The findings reveal that consumer's attitudes towards vloggers recommendations are mainly influenced by the quality of information provided, followed by credibility and the intention to make a purchase. Furthermore, this research is of significance to practitioners and academics interested in comprehending consumer behavior in the realms of tourism and food-related endeavors.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0158

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

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