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The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image.

This study proposed convolutional neural network (CNN) approach to predict COVID-19.

Prediction of COVID-19 using CNN.

The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.

This paper aims to investigate the specific tea tourism (TT) determinants. This paper uses the Porter’s Diamond model to critically examine how India and Sri Lanka gained a competitive advantage in the international market.

A cross-country study was conducted in which TT destinations in both India and Sri Lanka were considered for study. TT stakeholder perspectives were assessed through the Porter Diamond model, whereas data collection was based on a structured questionnaire that adopted the conceptual model (refer to the questionnaire as annex 1).

This study revealed that each determinant of Porter’s Diamond model (i.e. Factor Conditions – FC, Demand Conditions – DC, Related and Supporting Industry – RSI, Firm Strategy, Structure and Rivalry – SSR, Government – GO and Situational Force – SF) is playing a significant role in TT and India has an edge on Sri Lanka as a TT destination over each determinant of Porter Diamond model.

This study restricts its scope to the present TT stakeholders of India and Sri Lanka, comprising 6 latent variables and 31 indicators, offering opportunities for future research to tourists and local residents in TT using the same model variables, and indicators.

This study highlights the emerging TT destinations in India and Sri Lanka by sensitizing the competitiveness and comparativeness using Porter’s Diamond model through the partial least squares structural equation modeling.

This study reflects a unique way of exploring emerging TT destinations through Porter’s Diamond model, signifying the competitive advantage.

为了研究茶旅游的具体决定因素, 本文采用波特钻石模型批判性地检验印度和斯里兰卡如何在国际市场上获得竞争优势。

以印度和斯里兰卡作为茶旅游目的地进行的一项跨国研究。基于一项结构化问卷（附件1）进行数据收集, 并通过波特钻石模型评估茶旅游利益相关者的观点。

研究表明, 波特钻石模型的每个决定因素：因子条件（FC）、需求条件（DC）、相关和支持产业（RSI）、企业战略、结构和竞争（SSR）、政府（GO）和情境力量（SF）都在茶旅游中发挥着重要作用。作为茶旅游目的地, 印度比斯里兰卡在波特钻石模型的每个决定因素方面都更具有优势。

目前的研究范围仅限于印度和斯里兰卡目前的茶旅游利益相关者, 包括六个潜在变量和31个指标, 为未来研究茶旅游中游客和当地居民的未来研究使用相同的模型变量和指标提供了可能。

本研究使用波特钻石模型和PLS-SEM模型来突出印度和斯里兰卡作为新兴茶旅游目的地的竞争力和可比性。

这项研究展现了一种通过波特钻石模型来探索新兴茶旅游目的地的独特方法, 表明了它的竞争优势。

Para investigar los determinantes específicos del turismo del té, el documento actual emplea el modelo del Diamante de Porter, examinando de forma crítica, cómo India y Sri Lanka obtuvieron una ventaja competitiva en el mercado internacional.

Este estudio se llevó a cabo en dos destinos turísticos del té como India y Sri Lanka. Las perspectivas de las partes interesadas en el turismo del té se evaluaron a través del modelo del Diamante de Porter, mientras que la recopilación de datos se basó en un cuestionario estructurado, adaptado del modelo conceptual (consulte el cuestionario como anexo 1).

El estudio reveló que cada determinante del modelo del Diamante de Porter; Las condiciones de los factores (FC), las condiciones de la demanda (DC), la industria relacionada y de apoyo (RSI), la estrategia, la estructura y la rivalidad de la empresa (SSR), el gobierno (GO) y la fuerza situacional (SF) están desempeñando un papel importante en el turismo del té e India tiene una ventaja sobre Sri Lanka como destino de turismo de té sobre cada determinante del modelo de Porter.

El estudio actual restringe su alcance a las partes interesadas en el turismo del té de la India y Sri Lanka, que comprende seis variables latentes y 31 indicadores, ofreciendo oportunidades para futuras investigaciones a los turistas y residentes locales en el turismo del té utilizando las mismas variables e indicadores del modelo.

El presente estudio destaca los destinos emergentes del turismo del té en India y Sri Lanka, sensibilizando la competitividad y la comparabilidad, utilizando el modelo del diamante de Porter y el modelo PLS-SEM.

Este estudio refleja una forma única de explorar los destinos emergentes del turismo del té a través del modelo de diamante de Porter, lo que significa la ventaja competitiva.

The practices and arrangements within a family can create grounds for violence. Although we agree that family processes are important, we think that these explanations downplay the structure of families (nuclear, extended) and thereby the ways in which gender relations are organized. In this paper, domestic violence is explored as an intra-family dynamic that extends beyond the intimate partner relationship and which seeps into court rulings of cases of such violence.

Using archival data from 164 Supreme Court case decisions on domestic violence in India for the period 1995–2011, we examine both the patterns of conviction and the complexities of gender relations within the family by systematically coding the Court’s rulings.

Analysis of court rulings show that mothers-in-law were convicted in 14% cases and the husband was convicted in 41% cases. We call attention to the collective nature of the domestic violence crime in India where mothers-in-law were seldom convicted alone (3% of cases) but were more likely to be convicted along with other members of the family. Two dominant themes we discuss are the gendered nature of familial relations beyond the intimate partner relationship and the pervasiveness of such gendered relationships from the natal home to the marital family making victims of domestic violence isolated and “homeless.”

Future research may benefit from using data in addition to the judgments to consider caste and class differences in the rulings. An intersectionality perspective may add to the understanding of the interpretation of the laws by the courts.

Insights from this paper have important policy implications. As discussed in the paper, the unintended support for violence from the natal family is an indication of their powerlessness and therefore further victimization through the law will not help. It is critical that natal families re-frame their powerlessness which is often derived from their status as families with daughters. Considering that most women in India turn to their natal families first for support when they face violence in their marriages, policy must enable such families to act and utilize the law.

By examining court rulings on cases of domestic violence in India we focus on the power exerted by some women particularly within extended families which is central to understanding gender relations within institutions. These relations are legitimized by the courts in the ways they interpret the law and rule on cases.

This qualitative research examines the varied reasons for relocation to old age homes (OAHs) in contemporary India. The purpose of this study investigates the acceptance of institutional living in Lucknow (a Tier II city of India) and whether migration to OAHs is a voluntary decision. This study also examines the lifeworld of the older adult in these OAHs in an attempt to find out whether OAHs are conducive to positive ageing. Derivatively, the authors study their engagement/time use pattern and social networking patterns in the OAHs. Finally, the research seeks to learn whether OAHs are slowly substituting older adult care given within the family by offering the best of the facilities and services.

This qualitative research was conducted in two private OAHs in Lucknow, India. The findings of the study are based on 28 qualitative interviews conducted with the inmates, administrative staff and caretakers. The interviews were unstructured and open-ended and were supported by observations. The observation was not only made of the social setting but also the reaction of the participants. The idea was to develop an emic view of the subject by exploring valid narratives. Pseudonyms were used to report the finding so as to maintain the confidentiality of the research subjects.

This research moves beyond the traditional wisdom that people move to OAH because of the push factors within the family. OAHs in India have evolved over the years and high-end OAHs are equipped with modern amenities to cater to the upper class in their twilight years. Residents were found to lead active lives in OAHs and their common habitus and bonding capital helped them to face the vagaries of old age more confidently. Their active life and membership in various civic organizations challenge the contention of the role theory that the aged are more prone to lose rather than gain roles.

The originality of the research lies in the fact that the authors are extending the arguments made by the role theory of social ageing. The theory proposes that aged people are more likely to lose out roles rather than gain new ones. This study finds that the elderly tend to live a very active life in OAHs and engaged various civic organizations. Although they may lose/voluntarily give up the roles like the head of the household, spouse, etc., they acquire new roles in the context of OAHs.

To operate with high efficiency and minimise the risks of power failures, power systems require careful monitoring. The availability of real-time data is crucial for assessing the performance of the grid and assisting operators in gauging the present security of the grid. Traditional supervisory control and data acquisition (SCADA)-based systems actually employed provides steady-state measurement values which are the calculation premise of State Estimation. More often, however, the power grid operates under dynamic state and SCADA measurements can lead to erroneous and inaccurate calculation results. The introduction of the phasor measurement unit (PMU) which provides real-time synchronised voltage and current phasors with very high accuracy is universally recognised as an important aspect of delivering a secure and sustainable power system. PMUs are a relatively new technology and because of their high procurement and installation costs, it is imperative to develop appropriate methodologies to determine the minimum number of PMUs as well as their strategic placements to guarantee full observability of a power system. Thus, the problem of the optimal PMU placement (OPP) is formulated as an optimisation problem subject to various constraints to minimise the number of PMUs while ensuring complete observability of the grid. In this chapter, integer linear programming (ILP), genetic algorithm (GA) and non-linear programming (NLP) constrained models of the OPP problem are presented. A new methodology is proposed to incorporate several constraints using the NLP. The optimisation methods have been written in Matlab software and verified on the standard Institute of Electrical and Electronics Engineers (IEEE) 14-bus test system to authenticate their effectiveness. This chapter targets United Nations Sustainable Development Goal 7.

The alternative arrangements to traditional employment have become a promising area in the gig economy with the technological advancements dominating every work. The purpose of this paper is to explore the barriers to the entry of gig workers in gig platforms pertaining to the food delivery sector. It proposes a framework using interpretive structural modelling (ISM) for which systematic literature review is done to extract the variables. This analysis helps to examine the relationship between the entry barriers to gig platforms. The study further proposes strategies to reduce the entry barriers in gig sector which would help to enhance productivity and generate employment opportunities.

The study uses interpretive structural model (ISM) to ascertain the relationship between various entry barriers of the gig workers to the gig platforms. It also validates the relationship and understand the reasons of their association along with MICMAC analysis. The model was designed by consulting the gig workers and the experts allied to food delivery gig platforms namely Zomato and Swiggy.

It was observed that high competition, longer login hours and late-night deliveries are the significant barriers with high driving power and low dependence power. Poor payment structures and strict terms and conditions for receiving the incentives are interdependent on each other and have moderate driving and dependence power. The expenses borne by the gig workers, such as Internet, fuel and vehicle maintenance expenses have high dependence power and low driving power. Hence, they are relatively less significant than other barriers.

The study is confined to food delivery sector of India, without considering other important sectors of gig economy for generalizing the framework. As the study is based on forming an ISM framework through literature review only, it does not consider other research methods for analysing the entry barriers to the gig platforms.

The study attempts to dig out the low entry barriers for gig workers in food delivery platforms as there is a dearth of analysis of these factors. This study would weave them using ISM framework to help the gig platforms overcome these barriers at various levels, thus adding to the body of literature.

The study discusses the need for understanding relationship between the entry barriers in the form of ISM model to identify the dependent and driving factors of the same.

This paper aims to explore the challenges faced by start-ups during COVID-19 and highlight solutions for catering to the new-normal consumer behaviour. The study accounts for 15 deep-tech start-ups sailing through the pandemic and their responsiveness. This study brings forth insights and experiences from the Indian start-up founders and CEOs during COVID-19.

This study uses a qualitative approach and is exploratory and phenomenological. A purposive sample of 15 young start-ups founded between the years 2013–2020 by founders aged between 24 and 41 was selected for the study. The recorded telephonic interview was collected from the founders from April 2021 to September 2021. The thematic analysis of the study evolves from Braun and Clarke (2006) using the MAXQDA 2020.

The study emphasizes upon challenges faced by start-ups, crisis management of start-ups and the relevance of technology-based start-ups during challenging times. This research provides a qualitative framework to establish the role of the technology acceptance model (TAM) towards the adaptability, responsiveness and resilience demonstrated by the start-ups. The findings also highlight the solutions to address challenges faced by start-ups and road to recovery.

The study has great relevance and lessons for budding entrepreneurs during crisis management. The study has implications for corporations and governments in terms of setting up incubators and accelerators to support budding entrepreneurs.

The study is unique in highlighting the relevance and importance of TAM for start-ups during crisis management like COVID-19. The study thrusts upon the need of technology acceptance for better crisis management.

To augment the Insolvency and Bankruptcy Code, the Indian Government introduced the pre-packaged insolvency process exclusively for small and medium firms. This paper aims to critically review some of the key features of the process and also identifies potential glitches imminent in the initial years of implementation.

This study is descriptive and based on secondary data. The provisions of the pre-pack scheme, Insolvency and Bankruptcy Code and reports on the progress of insolvency resolution in India are used to substantiate the observations.

This study shows that pre-packs would certainly help enhance the small and medium enterprise insolvency resolution process in India. However, the ambitious time frame can be adhered to only if the institutional framework for bankruptcy is strengthened.

This paper is based on the initial regulatory provisions of the pre-pack process. Subsequent changes in regulations may affect the findings.

Some of the concerns in the process and the changes required to facilitate a smooth, speedy and efficient resolution process have been highlighted in this study.

Pre-packs are a very recent introduction to the insolvency regime in India. This paper makes a fervent attempt to explain the pre-pack process and the outcomes that can be expected in the early years after its rollout.

The micro, small and medium scale enterprises (MSMEs) faced various challenges in the ongoing COVID-19 pandemic, making it challenging to remain competitive and survive in the market. This research develops a model for MSMEs to cope with the current pandemic's operational and supply chain disruptions and similar circumstances.

The exhaustive literature review helped in identifying the constructs, their items and five hypotheses are developed. The responses were collected from the experts working in MSMEs. Total 311 valid responses were received, and the structural equation modeling (SEM) approach was used for testing and validating the proposed model.

Critical constructs identified for the study are-flexibility (FLE), collaboration (COL), risk management culture (RMC) and digitalization (DIG). The statistical analysis indicated that the four latent variables, flexibility, digitalization, risk management culture and collaboration, contribute significantly to the firm performance of MSMEs. Organizational resilience (ORS) mediates the effects of all the four latent variables on firm performance (FP) of MSMEs.

The current study's findings will be fruitful for the manufacturing MSMEs and other firms in developing countries. It will enable them to identify the practices that significantly help in achieving the firm performance.

The previous researches have not considered the effect of “organizational resilience” on the “firm performance” of MSMEs. This study attempts to fill this gap.

The purpose of this paper is to estimate the relationship between the current account (CA) and fiscal deficit (FD), and the real exchange rate for India, for the managed float period 1996 Q2 to 2015 Q4, after controlling for output growth and oil shocks. It also examines the cyclicality of the CA, the size of each shock, and assesses whether aggregate demand, forward-looking smoothing, or supply shocks dominate outcomes.

The authors use several variants of structural vector autoregression (SVAR), implemented with quarterly Indian data, to control for effects of oil prices, and the output cycle, and then see how FD shocks affect the current account deficit (CAD) and the real exchange rate. For robustness, the authors tried different identifications, changed variable definitions, added new variables, or substituted with other variables. The cyclicality issue is addressed by examining the effect of growth shocks. The relative size of each shock is assessed through co-movement decompositions of the forecast errors. Responses to shocks help identify dominant influences on India’s CAD.

The CAD is found to be countercyclical. A FD shock raises the CAD, but high impact growth shocks and large variance oil shocks lead to overall divergence of the deficits. There is some support for the aggregate demand channel, but it is moderated by supply shocks and compositional effects. Consumption is sticky rather than forward-looking.

The paper contributes to the literature by including supply shocks, compositional effects, cyclicality, real interest and exchange rate in a theoretically and empirically consistent way for the analysis of twin deficits. The large empirical literature on twin deficits in EMs has not yet done this. There is no study using quarterly data in an SVAR allowing the dynamic relationship between the variables to be explored. The extensions bring in the supply side and compositional effects qualify the working of both the channels, with empirical exercises supporting theoretical predictions.