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Massive open online courses (MOOCs) are a currently trending e-learning platform that presumably attract thousands of participants because of boundless participation, are open to any person to enroll, are free to begin and are delivered completely online, thus contradicting the spatial limitations of a traditional classroom. This study aims to present the findings of a study among veterinary science students examining their perceptions of MOOCs. In total, 200 participants were randomly selected for the survey, out of which 177 responded, owing to a response rate of 88.7 per cent. Majority of the respondents (93 per cent) opined MOOCs supplement other learning methods and provide lifelong opportunity. A study report established that Coursera is the largest platform by user base (82 per cent), followed by Udemy (70 per cent), and 65 per cent knowledge seekers ranted the enormous propaganda about MOOCs are not because of the technology’s inherent edifying value, but because of the incredible potentials of lower costs. The participants in this survey valued their course and overall MOOC experience pleasing.

The aim of the study is to explore veterinary students’ perception of MOOCs featuring in their subject of interest. The questionnaire was written in English because it is the teaching language for undergraduates and postgraduates in most Indian higher education institutes, including the one used as a context for this study. The online questionnaires were electronically mailed to a sample of veterinary students (undergraduate and postgraduate) with a consent form seeking their permission for participation in this study and swearing them the confidentiality of their responses. The e-mail included information about the purpose of the study as well as the URL to the survey site, demographic questions on age, gender and education. This part was followed by an important research question asking if the student had heard about the new open online educational system (MOOCs) provided in websites, including Coursera, Edx, Udacity and FutureLearn, among others. Based on respondents’ answers, they were directed to different sections. Students who knew about MOOCs were asked various mode of getting enrolled in MOOCs. If they were not enrolled in any course, the respondents were asked about the limitations to their use. Enrolled students were questioned on their perspectives and experiences with MOOCs. For students who gained certificates, were enquired for their level of satisfaction, opinions about the integration of MOOCs into the veterinary field and hindrances encountered during accessing the course. Out of a total of 200 students who initially agreed to take part, 177 responses were received, with a response rate of 88.50 per cent, with no cases of missing data. The data were stored automatically in the hosted online survey service into a separate database after the submission of the responses. The descriptive data analyses (such as average) were led using the data analysis tool provided.

Even though most MOOCs do not provide academic credit or result in a degree, some of the biggest beneficiaries of MOOCs are students formally enrolled in an academic program, are provided a free mode to obtain additional academic assistance that would not otherwise be available (Parke Muth, 2018)15. Correspondingly, 93 per cent of the students opined MOOCs supplement other learning methods and provide lifelong opportunity. Learning has traditionally cost both money and time. With MOOCs, it now just costs time. In total, 24 per cent of the participants have discoursed free of cost as one of the intentions to choose their course. Almost every respondent (99 per cent) was interested toward online discussion forum, and 91 per cent preferred course materials containing video and audio files were pretty beneficial, while 88 per cent felt teaching through electronic whiteboard was the most advantageous criterion in their course. The study findings indicated that Coursera is the largest platform by user base (82 per cent), followed by Udemy (70 per cent).

The study considered veterinary science undergraduate (BVSc) and postgraduate (MVSc) students alone, veterinary faculties are not included for the survey. There was comparatively less participation of respondents who enrolled or successfully completed a MOOC, which makes the analysis of limitations and satisfaction less reliable. Hence, the study results cannot be generalized as a comprehensive report of veterinary science scholars’ perceptiveness.

Animal health involves household pets and their care, in addition to livestock health and protection from diseases like bovine babesiosis, bovine tuberculosis and heartwater. There are numerous MOOCs offering online, contact or blended interventions in veterinary science and animal health that afford professionals quick and easy options to obtain credentials, including courses in pharmacology and toxicology, practice management, veterinary and para-veterinary studies, veterinary tropical diseases, radiology and wildlife management. As it is necessary to gain an understanding of the veterinary students’ level of familiarity and their insight toward the MOOC concept, the study attempts to explore their knowledge through an online survey.

The purpose of this paper is to analyze the nature of returns and volatility spillovers between exchange rates and stock price in the IBSA nations (India, Brazil, South Africa).

The study uses VAR framework and the recently proposed Spillover measure of Diebold and Yilmaz to examine the returns and volatility spillover between exchange rates and stock prices of IBSA nations. In addition, multivariate GARCH with time varying variance‐covariance BEKK model is used as a benchmark against the spillover methodology proposed by Diebold and Yilmaz.

The results of multivariate GARCH model suggests the integration between stock and foreign exchange markets and indicates the existence of bi‐directional volatility spillover between stock and foreign exchange markets in the IBSA countries. Spillover results using the Diebold Yilmaz model suggest the bi‐directional contribution between stock and foreign exchange market, in terms of both returns and volatility spillovers. Overall, results confirm the presence of returns and volatility spillovers within the IBSA nations and, in particular, the stock markets play a relatively more important role than foreign exchange markets in the first and second moment interactions and spillovers.

The market participants may consider the relationship between the exchange rate and stock index to predict the future movement of each other effectively. Multinational companies interested in exchange rate forecasting may consider the stock market as an important attribute. There is an interesting implication for portfolio managers too because of the spillover stock and foreign exchange markets. This knowledge would help to create a fund which performs well. Moreover, the paper can help regulators and policy makers in IBSA nations to understand the structure of the market in a better way and then design their policies.

The study contributes to the literature by extending the existing studies on the spillover between stock price and exchange rate by investigating the issue for three emerging economies, India, Brazil and South Africa. Unlike most studies in the literature which focus on multivariate GARCH model, this is the first study which explores the issue of returns and volatility spillover between the stock prices and the exchange rates using spillover measure of Diebold and Yilmaz and much longer and recent daily data. Moreover, multivariate GARCH with time varying variance‐covariance BEKK model is used as a benchmark against the spillover methodology proposed by Diebold and Yilmaz.

Pakistan is an energy starving country that needs continuous supply of energy to keep up its economic speed. The aim of this paper is to assess the wind resource and energy potential of Quaidabad site for minimizing the dependence on fuels and improving the environment.

The Quaidabad site wind shear coefficient and turbulence intensity factor are investigated. The two-parameter k and c Weibull distribution function is used to analyze the wind speed of site. The standard deviation of the site is also assessed for a period of a year. The wind power density and energy density are assessed for a period of a year. The economic assessment of energy/kWh is investigated for selection of appropriate wind turbine.

The mean wind shear coefficient was observed to be 0.2719, 0.2191 and 0.1698 at 20, 40 and 60 m, respectively, for a period of a year. The mean wind speed is found to be 2.961, 3.563, 3.907 and 4.099 m/s at 20, 40, 60 and 80 m, respectively. The mean values of k parameters were observed to be 1.563, 2.092, 2.434 and 2.576 at 20, 40, 60 and 80 m, respectively, for a period of a year. The mean values of c m/s parameter were found to be 3.341, 4.020, 4.408 and 4.625 m/s at 20, 40, 60 and 80 m, respectively, for a period of a year. The major portion of values of standard deviation was found to be in between 0.1 and 2.00 at 20, 40, 60 and 80 m. The wind power density (W/m²) sum total values were observed to be 351, 597, 792 and 923 W/m² at 20, 40, 60 and 80 m, respectively, for a period of a year. The mean coefficient of variation was found to be 0.161, 0.130, 0.115 and 0.105 at 20, 40, 60 and 80 m, respectively. The sum total energy density was observed to be 1,157, 2,156, 2,970 and 3,778 kWh/m² at 20, 40, 60 and 80 m, respectively. The economic assessment is showing that wind turbine E has the minimum cost US$0.049/kWh.

The Quaidabad site is suitable for installing the utility wind turbines for energy generation at the lowest cost.

In this study, the deployment of an integrated Quality Function Deployment (QFD) decision framework is presented to help cities design targeted strategies to become “smart”. Arguably smart cities leverage advanced technologies to enhance their smartness to improve everyday urban life. To this end, a QFD – Analytic Hierarchy Process – Analytic Network Process (QFD-AHP-ANP) framework is proposed to deliver guidance for selecting the appropriate mix of smart technologies based on the specific smart needs of each city.

The AHP and ANP methods are incorporated into QFD to enhance its methodological robustness in formulating the decision problem. AHP accurately captures and translates the “Voice of the Experts” into prioritized “Smart City” dimensions, while establishing inter-relationships between these dimensions and “Smart City Technologies”. Meanwhile, ANP explores tradeoffs among the technologies, enabling well-informed decisions. The framework’s effectiveness is evaluated through an illustrative application in the city of Thessaloniki.

Applying the framework to this real-world context confirms its practicality and utility, demonstrating its ability to particularize local, social, political, environmental and economic trends through the resulting mix of technologies in smart urban development strategies.

The importance of this study lies in several aspects. Firstly, it introduces a novel QFD decision framework tailored for smart city strategic planning. Secondly, it contributes to the operationalization of the smart city concept by providing guidance for cities to effectively adopt smart technologies. Finally, this study represents a new field of application for QFD, expanding its scope beyond its traditional domains.

With the rise in demand and adoption of smart city initiatives, it is imperative to plan the railway infrastructure, as it will have a huge positive impact if adequately integrated into the planning process. Given the complexities involved, a whole systems thinking framework provides a useful platform for rail transport planners.

This paper proposes a simple, adoptable framework utilising systems thinking concepts and techniques taking into cognisance the key stakeholders. Milton Keynes in the United Kingdom is the adopted case study.

Selected systems thinking tools and techniques are adopted to develop a framework for mapping stakeholders and attributes when developing sustainable rail transport systems, taking note of their core functionalities and the complex systems wherein they exist.

The desire to build future (smart) cities is to effectively match infrastructural resources with a rapidly growing population, and the railway sector can play a strategic role in building a much more competitive low-carbon-emission transport system, which is a driving force for sustainable development.

The urban rail service has become vital to urban development as railway stations serve as hubs for sustainable mobility to meet local requirements. Moreover, it takes extra effort to input railway development into smart city plans, as it is a herculean task to get governments to focus on it with clarity of purpose in passing legislation.

The developed framework reduces complexities when planning and designing rail transport systems compared to many of the existing reductionist planning approaches. The simplicity of the framework would also make it easily adoptable by a wide range of users.

This study aims to assess housing affordability and estimate demand using a hedonic regression model in the context of Lucknow city, India. This study assesses housing affordability by considering various housing and household-related variables. This study focuses on the impoverished urban population, as they experience the most severe housing scarcity. This study’s primary objective is to understand the demand dynamics within the market comprehensively. An understanding of housing demand can be achieved through an examination of its characteristics and components. Individuals consider the implicit values associated with various components when deciding to purchase or rent a home. The components and characteristics have been obtained from variables relating to housing and households.

A socioeconomic survey was conducted for 450 households from slums in Lucknow city. Two-stage regression models were developed for this research paper. A hedonic price index was prepared for the first model to understand the relationship between housing expenditure and various housing characteristics. The housing characteristics considered for the hedonic model are dwelling unit size, typology, condition, amenities and infrastructure. In the second stage, a regression model is created between household characteristics. The household characteristics considered for the demand estimation model are household size, age, education, social category, income, nonhousing expenditure, migration and overcrowding.

Based on the findings of regression model results, it is evident that the hedonic model is an effective tool for the estimation of housing affordability and housing demand for urban poor. Various housing and household-related variables affect housing expenditure positively or negatively. The two-stage hedonic regression model can define willingness to pay for a particular set of housing with various attributes of a particular household. The results show the significance of dwelling unit size, quality and amenities (R² > 0.9, p < 0.05) for rent/imputed rent. The demand function shows that income has a direct effect, whereas other variables have mixed effects.

This study is case-specific and uses a data set generated from a primary survey. Although household surveys for a large sample size are resource-intensive exercises, they provide an opportunity to exploit microdata for a better understanding of the complex housing situation in slums.

All the stakeholders can use the findings to create an effective housing policy. The variables that are statistically significant and have a positive relationship with housing costs should be deliberated upon to provide the basic standard of living for the urban poor. The formulation of policies should duly include the housing preferences of the economically disadvantaged population residing in slum areas.

This paper uses primary survey data (collected by the authors) to assess housing affordability for the urban poor of Lucknow city. It makes the results of the study credible and useful for further applications.

States that the health of a population is determined by different socio‐economic, locational and cultural factors in society. Uses Bangladesh as a case study, showing how its health is affected by factors such as economics, food and nutrition, social factors, political issues, environmental issues, healthcare facilities and international issues. Concludes that the health of this nation is in a dismal state, with a population victim to food shortages, limited income and little healthcare access.

For India, having being endowed with a rich heritage of art and culture, copyright is perceived to offer potential rewards. The entertainment industry is one of the fastest growing sectors in the Indian economy. At present, India is not a signatory to the WIPO Internet Treaties, but the government has proposed amendments to the extant legislation to incorporate Digital Rights Management (DRM) as enshrined in them. Conventionally the western entertainment industry has viewed DRM as an important tool to combat piracy pervasive on the internet. DRM involves the application of a set of technical and legal mechanisms that allow copyright owners to control the access to their works, determine the types of permissible uses and terms of such uses and the ultimate distribution of their works in the digital world. With the growing popularity of Indian cinema abroad, the entertainment industry is attracting increasing foreign investment, is gradually being corporatised and thus it is felt that such investments need to be protected. DRM is considered to be one of the solutions as it prevents loss due to unlimited unauthorized reproduction of works, introduces more effective market segmentation and promotes the incentive to create, facilitating the maximum exploitation of works in the digital world. However, for India, a developing economy, such a path is to be treaded with caution. DRM is an extra‐statutory measure, with perceived potential impact on consumer privacy, innovation and limiting legitimate exceptions. A unique feature of the industry is that it is an extension of its dynamic indigenous folk and classical cultural tradition where the emphasis has been on adaptation and improvisation, drawing upon works in the public domain. Some experts observe that DRM poses a threat to such a tradition by artificially restricting the public domain.This paper explores the likely impact of the proposed introduction of the DRM provisions in the Indian Copyright Act, 1957 with its focus on Bollywood and the related music sector. Given the tension surrounding DRM, this paper examines the aforementioned issues, taking into consideration the promotion of the underlying objectives of copyright law. Noting that the case for strong copyright protection as a key for innovation is highly debatable, this paper argues that India should keep in mind the flexibilities under law as provided by various international treaties and in technology before adopting the DRM approach.

The purpose of this paper is to investigate the reflective properties of titania (TiO2) nanoparticle‐based coating.

TiO2 nanoparticles, synthesised by sol‐gel method, were characterised by X‐ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM), and ultraviolet‐visible absorption spectroscopy (UV‐vis). The coating material has been prepared by dispersing titania nanoparticles in an acrylic binder with different pigment to binder weight ratio. The reflectors were prepared by applying this coating material to different coating thicknesses to aluminium sheets.

In the study reported here, the coating material could produce reflectors with diffuse reflectance, ∼99 per cent, using coating material, having binder by weight ratio between 14 and 20 per cent, and thickness, 0.15 mm. On exposing the developed reflectors to different levels of illumination (upto 20,000 lux), they were still found to have diffuse reflectance of more than 96 per cent almost throughout the visible spectrum.

The fabricated reflectors find applications in commercial optical products, such as: reflective panels, luminaries, etc.

As of today, the reflective coatings used are of conventional type, which employ bulk TiO2 particles. In this study, we are reporting TiO2 nanoparticle‐based highly reflective coating. This is an original work, and, to the best of our knowledge, no one has ever reported on “TiO2 nanoparticle‐based reflective coatings”.