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This paper aims to trace Tata Group’s role in responding to disability in the decades immediately following India’s independence until the preliberalization period of the Indian economy, i.e. from the 1950s to the 1990s.

This study’s methodology entailed a historiographical approach and archival engagement at Tata Archives (Pune, India) of the company documents. Materials and records of the Tata Company between 1942 and 1992.

Adopting the corporate culture lens, the study findings show that Tata Group demonstrated an active prosocial corporate approach toward disability. In a period governed by the ideology of a state-dominated developmental approach, Tata Group’s initiatives were related to medical interventions for a wide spectrum of disabilities, rehabilitation and efforts to ensure persons with disabilities (PWDS)’ livelihood.

Disability, in the neoliberalized economic landscape of India, is an emergent business issue for companies espousing workplace diversity. The historical understanding of business engagement with disability from postindependence to liberalization in India remains, however, limited. In postindependence India, the passive business response to disability emerged within an ethical and discretionary framework, with charity and philanthropy as the main modes of engagement. In this background, this paper explores Tata’s response to disability and PWDs, which was distinct.

This study aims to explore twin objectives. Initially, the study scrutinises the consequences of various pollution control acts and protocols signed by India to improve the air quality and then the study involves itself to investigate the aftermath of COVID-19 lockdown on the air quality of highly populated Mumbai city of India. The empirical analysis is facilitated by the application of Poirier’s Spline function approach on the secondary data compiled from the Maharashtra Pollution Control Board (MPCB). The corresponding structural shifting points are identified through the CUSUM of squares (CUSUMQ) test. The empirical results disclose that Kyoto Protocol and lockdown have positively influenced the air quality. This study ends with suitable policy prescriptions.

The purpose of this paper is to develop a replicable model that ensures Household Water Treatment and Safe Storage as well as water treatment facilities at the community level by providing total service coverage at community scale. An intervention was implemented in one of the low-lying areas of Basirhat Municipality (West Bengal, India) that included a number of action programs in order to address household- and community-level water-induced challenges.

A research study was undertaken to identify the root causes of the problems that are generally spawned from geomorphological, hydro-fluvial, climatic factors and processes and the situation becomes complicated when many other cumulative problem-contexts layovers the existing ones. A number of social and technological innovations were tested in the field and this paper critically examined the intervention processes and outcomes. It was implemented through participatory process by involving related stakeholders working at that scale so that necessary public acceptance is received for scaling up, at least, in the similar physical, social, economic and institutional contexts.

The problem conceptualization process, spatial assessment for contextualizing the problem, design of interventions for different scales, development of project deployment strategies from field-based learnings contributed in developing a total solution based on fusing of household-level technical solutions, social innovations and actions for community engagements towards sustainability. Mobilized community members in addressing local inundation and waterlogging crisis. Satellite image-based maps shown to make them understand the upper-lower connection of drainage. People also developed their own action plans and engaged themselves in resuscitation of an old canal, removed the garbage that resulted in improved drainage conditions in the area.

Pandemic due to COVID 19 and its related prolonged lock down, West Bengal State Assembly Election, closure of municipal governance system due to the forthcoming municipal election, closure of educational institutions, closure of Anganwadi Centre in the field area were the limitations. Due to the lock down, it was difficult for the team to maintain the time frame as well as the budget. As per the Election’s Code of Conduct gets released no public meeting was allowed without permission, people in the vicinity became suspicious, hence movement of the team members got restricted.

Due to the COVID protocols, the team could not organise mass training programs. It was difficult for the team members to commute in public/private transport, hence filed work got impacted. As the team could not access data from the health department, they developed a strategy of generation data on body mass index, mid-upper arm circumferences and waist-to-hip ratios to understand the status of health and nutrition of the community. It was difficult to access the Public Health Engineering Department’s laboratory situated in the municipality for water sample test. Cost escalated due to extension of the project time.

During the second phase (wave) when people lost access to health facilities they requested the team to stop field visit. Women’s empowerment through acquiring knowledge and skill on treatment and safe storage of drinking water at home. Men appreciated and recognized this, which improved the status of women in the society. Children after expressing their willingness to learn the new technology of water purification were given handholding training by their mothers and knowledge transfer has taken place in the next generation. Mobilized community members in addressing local inundation and waterlogging crisis. Satellite image-based maps to understand the upper-lower connection of drainage helped them develop their own action plans and engaged themselves in resuscitation of an old canal, removed the garbage that resulted in improved drainage conditions in the area.

Household-level solutions include supply of low cost, easy operable, sustainable water purifiers, community-level solution focused on securing water-related challenges at social/public gathering places and wider catchment area level solutions include the engagement of local communities to drain out stagnant waters by clearing drains, creating/digging small canals through collective actions. Geo-spatial techniques (topographical mapping, spatial survey, water quality tests) along with social methods such as participatory appraisals for gathering information on human health, public awareness campaigns and partnership development with local government agencies were the major activities performed as part of the implementation of interventions. It is imperative to mention that water-related challenges in the low-lying settlement areas of Basirhat Municipality have effectively been addressed by relying on necessary theoretical underpinnings (Disaster risk reduction/humanitarian principles) transmitted through application of scientific techniques and mediated through local people and their agencies.

The present research work is carried out for determining haemoprotozoan diseases in cattle and breast cancer diseases in humans at early stage. The combination of LeNet and bidirectional long short-term memory (Bi-LSTM) model is used for the classification of heamoprotazoan samples into three classes such as theileriosis, babesiosis and anaplasmosis. Also, BreaKHis dataset image samples are classified into two major classes as malignant and benign. The hyperparameter optimization is used for selecting the prominent features. The main objective of this approach is to overcome the manual identification and classification of samples into different haemoprotozoan diseases in cattle. The traditional laboratory approach of identification is time-consuming and requires human expertise. The proposed methodology will help to identify and classify the heamoprotozoan disease in early stage without much of human involvement.

LeNet-based Bi-LSTM model is used for the classification of pathology images into babesiosis, anaplasmosis, theileriosis and breast images classified into malignant or benign. An optimization-based super pixel clustering algorithm is used for segmentation once the normalization of histopathology images is conducted. The edge information in the normalized images is considered for identifying the irregular shape regions of images, which are structurally meaningful. Also, it is compared with another segmentation approach circular Hough Transform (CHT). The CHT is used to separate the nuclei from non-nuclei. The Canny edge detection and gaussian filter is used for extracting the edges before sending to CHT.

The existing methods such as artificial neural network (ANN), convolution neural network (CNN), recurrent neural network (RNN), LSTM and Bi-LSTM model have been compared with the proposed hyperparameter optimization approach with LeNET and Bi-LSTM. The results obtained by the proposed hyperparameter optimization-Bi-LSTM model showed the accuracy of 98.99% when compared to existing models like Ensemble of Deep Learning Models of 95.29% and Modified ReliefF Algorithm of 95.94%.

In contrast to earlier research done using Modified ReliefF, the suggested LeNet with Bi-LSTM model, there is an improvement in accuracy, precision and F-score significantly. The real time data set is used for the heamoprotozoan disease samples. Also, for anaplasmosis and babesiosis, the second set of datasets were used which are coloured datasets obtained by adding a chemical acetone and stain.

This paper aimed to examine the psycho-social aspects of coronavirus disease 2019 (COVID-19) in Pakistan. The study was conducted in Pakistan by using an online survey technique. The rationale to opt for this method was mainly based on the country's lock-down situations, social distancing and for the care of respondents.

A total of 1,536 individuals participated from different parts of the country. An attitudinal scale was administered consisting of statements to measure (dis)agreement of the individuals facing the current situations of COVID-19. The ethical considerations and confidentiality of the respondents were opted by describing the purpose of research on the first page of the questionnaire.

The study findings showed that the cost of personal protective equipment (PPE), social isolation and loss of intimacy have favourable positive effects on the psychological problems of individuals through the mediation of fake news and misinformation during COVID-19. Furthermore, the study findings were interpreted as per the effects of current situations of epidemic, i.e. COVID-19 on the psycho-social life of individuals.

This paper is purely limited to the quantitative approach including variables, i.e. COVID-19, risk of infection, social distancing, cost of PPE, social isolation, fake news and psychological problems.

The present research will enhance the awareness and knowledge regarding psychological problems faced by the individuals during COVID-19. It will be a significant addition to the existing body of knowledge in the field of health and well-being. It will also provide guidelines to students, research scholars, policymakers and academicians to develop policies in future to improve the health of people during epidemics such as COVID-19 and similar nature of outbreak in the future.

This paper focused on an important gap in the research on COVID-19 in the country in the context of COVID-19, risk of infection, social distancing, cost of PPE, social isolation, fake news and psychological problems.

The purpose of this paper is to identify talent segments within the millennial generation based on performance and intention to stay and differentiate them in terms of their expectations. Based on results, the paper proposes a customized approach to talent management.

The paper uses a mixed methodology, including 11 exploratory focus group discussions, followed by a survey involving 1,065 employees from nine information technology and business process management companies.

The paper creates a framework of talent segments (performing loyals, performing movers, developing loyals and developing movers) that have different values for the organization. Significant differences are observed in their PC expectations from the manager, PC expectations related to career growth and development and PC expectations related to job and work environment.

Researchers faced constraints in obtaining actual performance data from the organizations; therefore, a self-perception report of performance was used.

Organizations’ talent-management strategy must acknowledge and understand the differences in PC expectations of talent segments and offer tailored TM programs for maximum impact.

The paper challenges the old assumption of a uniform psychological contract (PC) that has guided the talent management strategy. Every talent segment has value and must be viewed on continuum rather than a binary construct of “Talent or no talent.”

This is one of the few studies which explores how the perception of PC expectations differs between talent segments. It contributes to literature on talent segments, PC and the millennial generation.

The purpose of this paper is to systematically review the functionalities, safety regulations and product applications of herb Stevia rebaudiana extract. This plant material is embedded with multiple functionalities such as antioxidant, antidiabetics, anti-inflammation and antimicrobial. The regulations released from global authorities are covered to ensure the safety premise of stevia. Besides, the product applications of the extract of aerial parts of the herb S. rebaudiana helps us to recognize its value from commercial side.

Relevant literatures are selected and obtained from main scientific databases such as Google Scholar, Web of Science, PubMed and trade magazines published between 2000 and 2023. The keywords and their possible combinations such as sweetening, antioxidant, antidiabetics, anti-inflammation, safety and product development were used to ensure the preciseness and completeness of literature searching. Major data such as sweetness, total phenolic content and dose together with latter critical conclusions from searched publications were appropriately used and discussed. In this review, approximately 150 scientific literatures were meticulously ordered and analyzed. In applications, it is the first time that sentiment analysis was used to obtain a market assessment of the stevia-containing products.

This review paper helps rearrange the scientific affairs of those stevia extract’s functions like sweetening, antioxidant, antidiabetics and inflammation. Sweetness indexes of steviol glycosides were summarized together for comparison while various in vitro and in vivo approaches were reviewed to quantify those functions’ capacities and to depict the related mechanism. The regulation of steviol glycoside compounds such as rebaudioside A was established by global authorities such as US Food and Drug Administration and Joint FAO/World Health Organization Expert Committee to ensure the safety endorsement before commercialization. Then, this study discussed about the market performance of stevia ingredients or products with the self-developed data analytics. This study also investigated the product development progress of stevia-containing food products in the categories of beverage, bakery, dairy and confectionery. Those stevia-containing food consumer goods can be acceptable by certain consumers.

This review paper precisely presents the evidential information about the stevia’s multiple functionalities with mechanisms and global regulation milestones. To the best of the authors’ knowledge, it is then the first time to probe the stevia-containing products’ market performance through data analytics.

The purpose of this paper is to explore the key performance indicators (PIs) that serve as a decision support tool in case of dairy supply chain practices and to analyze their interactions in the context of Indian dairy industry sector. A total of 11 PIs have been identified through the literature review and the opinions of an expert team consisting of managerial and technical experts from dairy industry and academics.

A solution methodology based on the interpretive structure modeling (ISM) technique is used to analyze the interactions among PIs and to propose a structural model. The developed model not only helps in understanding the contextual relationship among the PIs, but also in determining their interdependence to assess the supply chain performance in dairy industry. Further, the importance of PIs has been determined based on their driving and dependence power by using MICMAC analysis.

The ISM-based model suggests four PIs at first level, three PIs at second level, one PI at third level as well as one PI at fourth level and two PIs at fifth level. Model allocates to the effective information technology, brand management, responsiveness in shipment and accuracy and a control over wastages as the key PIs in the dairy industry sector. The effective traceability systems, cold chain infrastructure, quality management and the support for technological innovations are the next major PIs. There exists no autonomous PI in MICMAC analysis which proves the importance of identified PIs in the case study.

The proposed model is an attempt to capture the dynamics of milk processing sector and to incorporate all relevant constraints related to internal and external environments that would significantly improve the supply chain performance in the dairy industry.

The model developed in this study has been tested in the cooperative milk processing units based in India and also discussed with the experts from academics. This work may help practitioners, regulators and dairy industry professionals to focus their efforts toward achieving high performance by the effective implementation of the identified PIs.

In this study, 11 PIs are considered. Interactions among PIs are evaluated with the help of the ISM matrix. Out of the 11 PIs, six demonstrate both strong driving and dependence power as explained in the MICMAC analysis.