The Accountability of Stakeholders in Combating Domestic Violence with Women in India
access to justice; Domestic violence; intimate partner violence; stakeholders; woman
As per the Hindu tradition, women are considered as ardhangini and the western civilisation considers them as better half. Since ancient times, women have been considered as the epitome of love, kindness, care and above all the mother of mankind. But on the contrary, the most terrible and horrifying cruelties are imposed upon her. The predominant type of violence which is inflicted upon a woman is domestic violence also known as intimate partner violence. According to the World Health Organisation, almost one third, i.e., 27% of the women aged between 15 and 49 years, who have been in a relationship report that they have been subjected to some form of physical or sexual violence by their intimate partner. The issue of domestic violence has been addressed at both international and national levels, but still there exists a persistent gap in enforcing and implementing them. And this can be easily proved from the continuous rise in the cases of domestic violence worldwide, especially during the COVID times. The problem that needs to be addressed at hand is the role of several accountable stakeholders involved in the process of providing access to justice to the women affected by domestic violence. According to the Protection of Women from Domestic Violence Act (2005), in India, the several stakeholders include the protection officers, service providers, lawyers, police officers, shelter homes and judges. These are the people with whom the power to protect and help the women are vested, but instead the affected women fall a prey to this system due to various reasons like lack of resources, fewer power and many more which will be further discussed in the article. 2024 selection and editorial matter Dr. Shilpi Sharma and Baidya nath Mukherjee; individual chapters, the contributors.
Law and Emerging Issues: Proceedings of the International Conference on Law and Emerging Issues (ICLEI 2023), pp. 129-140.
https://doi.org/10.4324/9781003428213-14 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196683599&doi=10.4324%2f9781003428213-14&partnerID=40&md5=067a1bafdfc93328f043eac24d5faf9b
Singh M., School of Law, Christ (Deemed to be) University, Delhi-NCR, India, University Institute of Legal Studies, Chandigarh University, Punjab, India; Mathew M., School of Law, Christ (Deemed to be) University, Delhi-NCR, India
Application of artificial neural networks in optimizing MPPT control for standalone solar PV system
Artificial neural networks (ANN); Maximum power point tracking (MPPT); Perturb and observe (P&O); Photovoltaic (PV); Radial basis function network (RBFN)
Increasing demand of power supply and the limited nature of fossil fuel has resulted for the world to focus on renewable energy resources. Solar photovoltaic (PV) energy source being the most easily available, it is considered to have the potential to meet the ever increasing energy demand. Developing an intelligent system with Artificial Neural Networks (ANN) to track the Maximum Power Point (MPP) of a PV Array is being proposed in this paper. The system adopts Radial Basis Function Network (RBFN) architecture to optimize the control of Maximum Power Point Tracking (MPPT) for PV Systems. A PV array has non-linear output characteristics due to the insolation, temperature variations and the optimum operating point needs to be tracked in order to draw maximum power from the system. The output of the intelligent MPPT controller can be used to control the DC/DC converters to achieve maximum efficiency. 2014 IEEE.
Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014, pp. 162-166.
Institute of Electrical and Electronics Engineers Inc.
Singh M.D., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India; Shine V.J., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India; Janamala V., Department of Electrical and Electronics Engineering, Christ University Faculty of Engineering, Bangalore, India
Analysis of secure cloud storage provisioning for medical image management system
Blowfish; Cloud computing; Compression; Cryptography; Huffman coding
Medical images are considered to be the most sensitive images as it contains various health related sensitive information of an individual and it is necessary for the health care organization to maintain the sensitivity of these images without anybody misusing these data. When these images are transferred digitally through a network in order to store it in cloud for easy access for the authorities of the health care system, it is important to compress and encrypt these images to reduce the size and safeguard the information before storing and make sure that these images are transferred securely. In this paper, we use Huffman Coding technique in order to compress the image for easy transmission and to consume less storage space in cloud. To maintain the confidentiality of these images Blowfish encryption methodology is used. Once the image undergoes compression and encryption, the encrypted image is transferred and stored in a cloud storage. IAEME Publication.
International Journal of Mechanical Engineering and Technology, Vol-9, No. 3, pp. 162-173.
Singh M.L., Christ University, Karnataka, India; Senthilnathan T., Christ University, Karnataka, India
A Heuristic Model For Personalised Risk Assesment of PCOS
early diagnosis; Machine Learning; PCOS; Random Forest; Stacking; XGBoost
According to WHO 8-13% of women are affected by Polycystic Ovary Syndrome (PCOS) out of which 70% women remain undiagnosed, it is a common endocrine disorder necessitating early diagnosis for timely intervention. In this paper a heuristic model is developed for PCOS prediction, by combining XGBoost and Random Forest through stacking techniques. Class imbalance was addressed using Random Oversampling. Cross-validation demonstrated the meta-model's superior accuracy compared to individual XGBoost and Random Forest models, highlighting its potential for reliable PCOS prediction. It is observed that the best possible results that the meta-model was able to provide was a score of 93.5% which was acquired in the 4th sample, the lowest score was 87.90% attained in the 2nd sample. To finalise the results, the mean accuracy was calculated which is 90.98% with a standard deviation of 1.96. deterministic model offers reproducible results and interpretability, aiding clinical decision-making. Future research could explore additional biomarkers and probabilistic techniques for personalized risk assessment. 2024 IEEE.
4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 2024
https://doi.org/10.1109/ICIPTM59628.2024.10563299 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197698342&doi=10.1109%2fICIPTM59628.2024.10563299&partnerID=40&md5=8bf32a0d4e0b0cd5bf42e093b60a8f41
Singh N., School of Sciences, Christ (Deemed to Be University), Delhi, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi, India; Gupta V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi, India
Influence of radiative transfer on Rayleigh-Benard-Marangoni canvection in a couple-stress fluid saturated porous medium
The problem of Rayleigh-Benard-Marangoni convection in a couple-stress fluid saturated porous medium with thermal radiation is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy law is used to model the momentum equation. The fluid between the boundaries absorbs and emits thermal radiation. The boundaries are treated as black bodies. The absorption coefficient of the fluid is assumed to be the same at all wavelengths and to be independent of the physical state. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary Darcy-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter, the conduction-radiation parameter, the absorptivity parameter, the Marangoni number and the Biot number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures and tables.
Artificial Intelligence; Chatbots; ChatGPT; Education; Technology
An artificial intelligence based Chatbot, ChatGPT was launched by Open AI in November 2022. In the field of education, ChatGPT has several benefits as well as challenges. Chat GPT can be considered as an advanced and a powerful tool to enhance the learning experience. It adds value to the education system only when it is used wisely. However, it is important to understand that the challenges must be addressed. It may act as a good source for collating the information, but it is always advised by the researchers that ones own perspective must be added to draw inferences from the output generated by ChatGPT. Our study supports the finding that ChatGPT can be used for the generation of ideas or to learn a new language. It also becomes imperative for the faculties to motivate students to use ChatGPT and add their inferences as well. AI models like ChatGPT can provide assistance, answer questions and provide explanations on various topics, making learning more accessible and tailored to individual needs. With this paper, we aim to provide a more informed discussion around the usage of ChatGPT in education. 2023 IEEE.
Singh P.; Phutela N.; Grover P.; Sinha D.; Sinha S.
4th International Conference on Electrical, Communication and Computer Engineering, ICECCE 2023
Singh P., Symbiosis Centre for Management Studies, NOIDA Symbiosis International (Deemed University), Pune, Noida, India; Phutela N., Symbiosis Centre for Management Studies, NOIDA Symbiosis International (Deemed University), Pune, Noida, India; Grover P., Symbiosis Centre for Management Studies, NOIDA Symbiosis International (Deemed University), Pune, Noida, India; Sinha D., Christ (Deemed to be University), Bangalore, India; Sinha S., Christ (Deemed to be University), Bangalore, India
Cloud Computing, Machine Learning, and Secure Data Sharing enabled through Blockchain
Blockchain; Cloud Computing; Data; etc; Information; Machine Learning; Privacy; Secure Data Sharing; Security
Blockchain technologies are sweeping the globe. Cloud computing & secure data sharing have emerged as new technologies, owing to current advances in machine learning. Conventional machine learning algorithms need the collection & processing of training information on centralized systems. With the introduction of new decentralized machine learning algorithms & cloud computing, ML on-device information learning is now a reality. IoT gadgets may outsource training duties to cloud computing services to enable AI at the network's perimeter. Furthermore, these dispersed edges intelligence architectures bring additional issues, also including consumer confidentiality & information safety. Blockchain has been proposed as a viable alternative to these issues. Blockchain, as a dispersed intelligent database, has evolved as a revolutionary innovation for the future phase of multiple industries' uses due to its decentralized, accessible, & safe structure. This system also includes trustworthy automatic scripting running & unchangeable information recordings. As quantum technologies have proven more viable in the latest days, blockchain has faced prospective challenges from quantum computations. In this paper, we summarize the existing material in the study fields of blockchain-based cloud computing, machine learning, and secure data sharing, as well as a basic orientation to post-quantum blockchain to offer a summary of the existing state-of-the-art in these cutting-edge innovations. 2022 IEEE.
Singh R.; Chandra A.S.; Bbhagat B.; Panduro-Ramirez J.; Gaikwad A.P.; Pant B.
Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, pp. 282-286.
Singh R., Uttaranchal Institute of Technology, Uttaranchal University, Uttarakhand, India; Chandra A.S., Christ (Deemed to Be) University, Doctoral Scholar School of Business and Management, Karnataka, Bangalore, India; Bbhagat B., Chhatrapati Shivaji Maharaj University, Department of Computer Science & Information Technology, Navi Mumbai, India; Panduro-Ramirez J., Universidad Tecnolica Del Per Department of Business, Peru; Gaikwad A.P., Savitribai Phule Pune University, JSPM'S JSCOE-MCA Department, Maharashtra, Pune, India; Pant B., Graphic Era Deemed to Be University, Department of Computer, Science & Engineering, Uttarakhand, Dehradun, India
A comprehensive view of artificial intelligence (ai)-based technologies for sustainable development goals (sdgs)
AI; Disruptive Technologies; SDGs; Sustainable Business Model; Sustainable Development
Agenda 2030, aimed at sustainable and inclusive development through seventeen SDGs formulated by the United Nations (UN), has become a massive challenge for most nations around the world. Many countries are setting a plan of action for achieving carbon neutrality by 2050. Due to this, industries are under immense pressure to mitigate harmful emissions and incorporate SD in their business activities. In the past decade, AI has grown as the dominating technology which influences nearly every aspect of human life, i.e., society, business, environment, etc. This chapter provides a comprehensive view of AI-driven technological applications in achieving SDGs. It provides a snapshot of the emerging relationship between AI applications and sustainable development and how AI could be used to create sustainable business models. Large-scale adoption of AI-driven technologies has enormous potential from the sustainable development perspective. The purpose of this chapter is to map the application of AI-based technological tools and solutions with the various SDGs. Further, this chapter also extends the discussion on AI-based technology as an enabler of or barrier to addressing sustainable development issues. It provides an important insight for policymakers, practitioners, investors, and other stakeholders about the conducive influence of AI on society, governance, and ecology in line with the priorities underlined in the UN SDGs. 2024 Walter de Gruyter GmbH, Berlin/Boston.
Artificial Intelligence Enabled Management: An Emerging Economy Perspective, pp. 183-195.
Singh R., Institute of Business Management, GLA University, Mathura, Uttar Pradesh, India; Kumar K., School of Business and Management, Christ (Deemed to be University) NCR Campus, India; Khan S., Department of Industrial Engineering, University of Tabuk, Tabuk, 47512, Saudi Arabia
Analysing Collaborative Contributions and Sentiments in the Quantum Computing Ecosystem
Algorithms; Applications; Google; Hardware; IBM; Quantum computing; Transformative technology
Quantum computing, a revolutionary paradigm leveraging the principles of quantum mechanics, has emerged as a transformative technology with the potential to solve complex problems at unparalleled speeds. Within the quantum computing ecosystem, companies and research institutes play pivotal roles in advancing hardware, algorithms, and applications. This research explores the transformative landscape of quantum computing, focusing on key contributors such as Google, IBM, D-Wave, Azure, Amazon, Intel, EeroQ, and IonQ. Through sentiment analysis, topic modelling, and thematic analysis, the study aims to comprehensively understand the current state and trends within the quantum computing ecosystem. The findings unveil an overall positive sentiment and identified topics ranging from cloud computing services to quantum computing advancements. Thematic analysis provides actionable insights, emphasizing collaboration within the ecosystem. Rooted in the analysis of secondary data from key companies' articles, the methodology establishes a robust framework for discerning contributions, collaborations, and strategic orientations in quantum computing. 2024 IEEE.
Singh R.; Mahajan J.; Jain P.; Saxena A.; Saxena A.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Singh R., Christ University, Bengaluru, India; Mahajan J., Christ University, Bengaluru, India; Jain P., Christ University, Bengaluru, India; Saxena A., C-DAC, India; Saxena A., Christ University, Bengaluru, India
Imagining the sustainable future with Industry 6.0: A smarter pathway for modern society and manufacturing industries
Industry is defined as the production of goods and services through the transformation of raw materials and resources into valuable products. It involves the creation of finished products or services through various stages of production that may include manufacturing, processing, assembly, packaging, and distribution. Industries have played a significant role in the economic growth and development of nations throughout history. They have contributed to the creation of employment opportunities, the development of new technologies, and the improvement of living standards. Over the years, the industrial sector has gone through numerous changes, and each of these changes has been termed as an "Industry Revolution." 2024, IGI Global. All rights reserved.
Machine Learning Algorithms Using Scikit and TensorFlow Environments, pp. 318-331.
Singh R., BIT Mesra, India; Tyagi A.K., National Institute of Fashion Technology, New Delhi, India; Arumugam S.K., Christ University, Bangalore, India
MARS: Manual andAutomatic Robotic Sanitization onSocial Milieu
Sanitization is not a new term, but with the evolution of deadly COVID-19, the process came into the limelight quickly. The process was already utilized widely in hospitals, vaccination centers, food processing units, and medicine industries and suddenly became crucial in every domain related to our lives. Even though sanitization is considered the first line of defense against pandemic viruses like COVID-19, it is highly difficult to sanitize every nook and corner of bigger buildings and external structures like airports, railway stations, theaters, institutions, and hospitals. Slight carelessness to eliminate the virus from the sanitization process can reciprocate in the pandemic spread. Our proposed work deals with utilizing the accuracy and precision of robots to effectively sanitize bigger structures. The multi-faceted methodology of the work manages the comprehensive investigation of the robotic unit for the social setting. The concentrate additionally stretches out to refine the standard human behavioral reaction for modern robotic consideration in our lives. This will ease up the process and, at the same time, will reduce the chance of human error. The robotic structure is powered by a 12 V rechargeable battery, which has manual and automation cleaning modes. During manual mode, we control the robot with an Android application installed on the phone and connected with the robot through Bluetooth wireless connectivity. During automation, the mode robot moves in different directions and cleans and sanitizes the area independently. There is an ESP8266-based IoT connection unit to update the overall process for the cloud. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Singh R.K.; Bhardwaj P.; Annapurna B.; Prasad S.V.G.V.A.; Arokia Paul Rajan R.; Kiran S.
Lecture Notes in Networks and Systems, Vol-974, pp. 283-291.
Springer Science and Business Media Deutschland GmbH
Singh R.K., Department of CSE, Indian Institue of Technology, Punjab, Ropar, India; Bhardwaj P., Department of CSE, Indian Institue of Technology, Punjab, Ropar, India; Annapurna B., Department of CSE, Aditya College of Engineering, Andhra Pradesh, Surampalem, India; Prasad S.V.G.V.A., Department of Physics, PR Government College (A), Andhra Pradesh, Kakinada, India; Arokia Paul Rajan R., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Kiran S., Department of Computer Science, Rajiv Gandhi College of Engineering, Puducherry, India
PERCEIVED EMPLOYEE CONTRIBUTION IN RELATION TO RECREATIONAL FACILITIES: AN EXPLORATORY STUDY
As the society has shifted from the industrial to the information era, recreation activities in organisations represents ever more important area of social responsibility and organisational growth. Organisations of all hue and texture- governmental,private or commercial enterprises- will need well planned and aligned recreational facilities to ramp up their productivity.Todays challenging social context increasingly calls on the leadership expertise of these organisations to address the important issue of human resources ??burnout. Their charge is to contribute to quality of life of the people at their organisations in the dynamic context of new modes of communication, new information, changing demographics, changing attitudes towards work and play, individualism and globalisation. A recreation facility is provided in premises or precincts of an organisation,for fun,diversion,enjoyment relaxation,amusement and physical, psychological, spiritual or social well being of members of the organisation. Activities engaged in the facility are planned by management with the view to enhance productivity by looking at the well being and development of employees. It is inclusive of hiring recreation organisations services. The steel baron Andrew Carnegie endowed hundreds of public libraries across the country in the late nineteenth and early twentieth century, explaining, "How a man spends his time at work may be taken for granted but how he spends his hours of recreation is really the key to his progress in all the virtues." Among the important literatures, study by Sabarirajan, Meharajan & Arun. (2010) titled Positive correlation between welfare activities and employee attitude in textile mills, remains prominent beacon of welfare studies on Indian organisations. In this exploratory research the authors have established the positive influence of various welfare activities practiced in Indian organisations on employee attitudes including employee productivity.The study has concluded that,generally, welfare measures are recreational,medical, educational, housing, sanitation and so on. Every organization provides the statutory welfare measures but some organizations provides some more welfare facilities to the employees so that they may retain the employees and by improving their quality of work life. By the result of improved quality of work life among the employees their involvement in job gets increased and results in increased productivity of the organization. The organizations maintaining smooth relationship between workers and management, which leads to attainment of organisation goals. Recreational facilities has received a great deal of interest by human resources management, professionals and organisational behaviour researchers in Western countries over the years; however, its practice is fairly nascent in Indian organisations. The organisations in India are facing many diverse and complex challenges of the growing economy and ever increasing demands of the workplace. Recreational facilities at the place of work play bigger and a vital role in ensuring an organisational sustained productivity by systematically building team, leadership and communicative skills. Enhanced and informal contact amongst all employees across hierarchy enriches and secures retention of cultural, social and intellectual assets, its skill and inventiveness. This study analysed organisational employees perceptions of Recreational facilities, Recreation activities and Employee contribution as one of the consequences of recreational facilities. 202 employees from 10 organizations (5 manufacturing and 5 IT services) were surveyed. The judgemental sampling technique was adopted to draw the sample. A questionnaire was designed and pilot tested. The reliability of the questionnaire was above . 850 (Cronchbachs Alpha reliability). The major findings of the study were: 1.Statistical analysis and interpretation of data reveal that organisations have provided varying level of recreational facilities to their employees since the level of perception of importance of recreational facilities varied considerably.Overall, the perception of the facilities was moderate. 2. Employees perception of level of recreation activities provided was higher than recreational facilities although the perception varied considerably again. Employee perception of recreation facilities was high. 3.The level of perception of importance of employee contribution as a result of recreational facilities varied considerably in the range. The mean value was considerably high at mean value of 5.89, with standard deviation 1.00. 4.There was significant correlation between the perception of importance of recreational facilities and recreational activities and the level of employee contribution. Thus, the level of employee contribution has been found to be related to each of the perception of importance of recreational facilities and recreational activities. 5.Multiple linear regression of level of employee contribution on the independent variables of perception of importance of recreational facilities and perception of importance of recreational activities was found to be statistically significant. Both of the independent variables were found to have a significant impact on the level of employee contribution, and together explained 60.2% of the overall variation in level of employee contribution. 6.There were significant differences in the perception of importance of recreational facilities, recreation activities and the level of employee contribution across variable demographics. The study empirically indicates that employee contribution made to the organisation productivity is strongly linked to recreational facilities provided by the organisation to their employees.In addition,at the same time it also reveals that the employees perceive only moderate recreational facilities from their organisations.This means that the system of recreational facilities and recreation activities in the organisations is yet not formalised and is ad-hoc and haphazard. Organisations should dedicate efforts to increase perception of recreation among the employees by including the aspects and goals of recreation in the organisational strategy.
Development and validation of multi-dimensional scale of grit
adaptability; grit; non-cognitive trait; perseverance; spirited initiative; steadfastness
Positive psychology nurtures the potent qualities of individuals and aids them in carving a niche for themselves. Based on this theoretical foundation, a non-cognitive trait-like grit plays an imperative role in attaining high achievement. Previous studies have identified three dimensions of grit: perseverance of effort, consistency of interest and adaptability to situations. Recent research has criticized the dimension consistency of interest in a collectivist context. The present study provides an account of grit in view of eastern perspectives to check the suitability of the construct in India. Current findings provide a framework for the development and validation of Multi-Dimensional Scale of Grit reveals four dimensions of grit, namely, adaptability to situation, perseverance of effort, spirited initiative and steadfastness in adverse situations. It also provides an insight regarding the duration of goal attainment with respect to grit. The research conducted over three studies included Indian university students to develop and examine the psychometric properties of grit. Study 1 focused on item analysis and development of the factor structure through exploratory factor analysis. Study 2 confirmed the previously obtained factor structure through confirmatory factor analysis. In study 3, the psychometric properties of the scale were measured through test-retest reliability and validity, criterion, convergent and divergent. Results indicated that Multi-Dimensional Scale of Grit is a reliable and valid measure. It also indicated that the obtained 12 items and four dimensions were in synchronization with the relevant eastern perspective. 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
Singh S., Department of Psychology, CHRIST (Deemed to Be University), Delhi NCR, India; Chukkali S., Department of Psychology, CHRIST (Deemed to Be University), Delhi NCR, India
The Role of Perceived Organisational Support in Predicting Organisational Commitment and Organizational Citizenship Behavior in Professional Organizations
Job Satisfaction; Organisational Citizenship Behavior; Organisational Commitment; Organisational Performance; Perceived Organisational Support
The study examined the "role of perceived organisational support in predicting organisational commitment and organisational citizenship behaviour in professional organisations". The primary data was acquired through a questionnaire from 200 respondents (employees from the finance and technology sectors) via a stratified random sampling technique. Excel and SPSS 26 were utilised for data analysis, and Statistical tools such as Anova, regression and correlation were used. The results demonstrated that perceived organisational support (POS) positively influences organisational commitment. Moreover, it has been found that perceived organisational support (POS) and organisational citizenship behaviour (OCB) in professional organisations have a substantial correlation, and there are significant differences in the perception of organisational support, commitment, and OCB among professionals working in the technology and finance sectors. This study can assist decision-makers and managers in the finance and technology sector in creating a comprehensive plan for organisational support and development programs that effectively include employees in their job responsibilities. The study provides valuable insights into the importance of perceived organisational support in fostering organisational commitment and citizenship behaviour. 2024, Creative Publishing House. All rights reserved.
Singh S.; Dias R.; Irfan M.; Galv R.; Alexandre P.; Gonlves S.
Journal of Ecohumanism, Vol-3, No. 6, pp. 239-249.
https://doi.org/10.62754/joe.v3i6.4000 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205780780&doi=10.62754%2fjoe.v3i6.4000&partnerID=40&md5=e3d233e01baa86dbcb6f66a40057f67b
Singh S., GLA University, UP, Mathura, India; Dias R., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal, ESCAD-Instituto Politnico da Lusofonia, Lisboa, Portugal; Irfan M., Christ University, Bengaluru, India; Galv R., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal; Alexandre P., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal; Gonlves S., Instituto Politnico de Setal, Escola Superior de Cicias Empresariais, Setal, Portugal
Convergence of Health Expenditure and Health Outcomes in Central Europe and the Baltic Region
Baltic countries; convergence; health expenditure; health outcomes
This research work examines the convergence of health expenditure in Central Europe and the Baltic region. The study reveals the absolute convergence in per capita health expenditures, indicating similar health outcomes for all eleven countries of the region. However, there is a divergence in health expenditure and outcomes across the eleven countries. Notably, public health expenditure diverges in Denmark, Estonia, Finland, and Norway, while, private health expenditure converges in Poland, Russia, and Sweden. Despite an overall convergence in life expectancy at birth across the countries, mortality rates due to non-communicable diseases only converge in Estonia. 2024 Taylor & Francis Group, LLC.
Eastern European Economics, Vol-63, No. 1, pp. 111-124.
Singh S., Symbiosis Law School, Symbiosis International Deemed University, Pune, Noida, India; Jain R.U., Symbiosis Centre for Management Studies, Noida, Symbiosis International Deemed University, Pune, India; Kumar N., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India
Towards Automated and Optimized Security Orchestration in Cloud SLA
Cloud Computing; Orchestration; Security; Service Level Agreement
In cloud computing, providers pool their resources and make them available to customers. Next-generation computer scientists are flocking to the cutting-edge field of cloud computing for their research and exploration of uncharted territory. There are still several barriers that cloud service providers must overcome in order to provide cloud services in accordance with service level agreements. Each cloud service provider aspires to achieve maximum performance as per Service Level Agreements (SLAs), and this is especially true when it comes to the delivery of services. A cloud service level agreement (SLA) guarantees that cloud service providers will satisfy the needs of large businesses and offer their clients with a specified list of services. The authors offer a web service level agreementinspired approach for cloud service agreements. We adopt patterns and antipatterns to symbolize the best and worst practices of OCCI (Open Cloud Computing Interface Standard), REST (Representational State Transfer), and TOSCA (Topology and Orchestration Specification for Cloud Applications) with DevOps solutions, all of which API developers should bear in mind when designing APIs. When using this method, everything pertaining to the cloud service, from creation to deployment to measurement to evaluation to management to termination, may be handled mechanically. When distributing resources to cloud apps, our system takes into account the likelihood of SLA breaches and responds by providing more resources if necessary. We say that for optimal performance, our suggested solution should be used in a private cloud computing setting. As more and more people rely on cloud computing for their day-to-day workloads, there has been a corresponding rise in the need for efficient orchestration and management strategies that foster interoperability. 2023 International Journal on Recent and Innovation Trends in Computing and Communication. All rights reserved.
Singh S.; Kumar Bharti A.; Pandey H.; Kumar Yadav R.; Sharma D.; Shanker N.R.
International Journal on Recent and Innovation Trends in Computing and Communication, Vol-11, No. 3, pp. 215-222.
Auricle Global Society of Education and Research
https://doi.org/10.17762/ijritcc.v11i3.6339 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156087737&doi=10.17762%2fijritcc.v11i3.6339&partnerID=40&md5=17452575a6cc4701c65778fd5ec01b4b
Singh S., Research Scholar, Computer Science and Engineering, Maharishi University of Information and Technology, U.P., Lucknow, India; Kumar Bharti A., School of Computer Application, Babu Banarasi Das University, Lucknow, U.P., Lucknow, India; Pandey H., Computer Science and Engineering, Lucknow University, U.P., Lucknow, India; Kumar Yadav R.; Sharma D., School of Business Management, Christ University, U.P., Ghaziabad, India; Shanker N.R., Computer Science and Engineering, Aalim Muhamed Salegh College of Engineering, Tamil Naidu, Chennai, India
Determinants of health system efficiency in middle-east countries-DEA and PLS-SEM model approach
Behavioural framework; DEA model; Health outcomes; Malmquist TFP index; PLS-SEM model; Socioeconomic framework
This study presented a radically different approach to efficiency evaluation based on the impact of the Socioeconomic and Behavioral health determinants framework on health outcomes for the countries of Middle-East region. The level of education, employment, and the percentage of the population living in the rural area constitutes the socioeconomic framework. The prevalence of tobacco smoking and alcohol consumption formed the behavioral framework. The model considers life expectancy at birth and mortality rate from non-communicable diseases as health outcomes. The econometric models of the PLS-SEM, the DEA, and the Malmquist TFP index are used to analyze the data. The DEA results highlight differences in the impact of socioeconomic and behavioral health determinants on health outcomes across the countries of the Middle-East region. Finally, evidence from the Malmquist TFP index shows an improvement in health production between the periods 20062017. Moreover, a substantial gap in efficiency is observed between economically prosperous countries and others who are less well-off. Furthermore, socioeconomic and behavioral frameworks positively impact life expectancy at birth. Similarly, the two frameworks have a negative impact on the mortality rate from chronic non-communicable diseases. A higher impact on health outcomes is observed in the socioeconomic as a behavioral framework in the model. The studys results have contributed to the policymakers, citizens, and the countrys government to compare the health system efficiencies across the middle-east region, which would help achieve the health outcome more efficiently. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023.
Singh S.; Kumar N.; Rawandale C.J.; Bala M.M.; Gupta A.K.; Kapur P.K.
International Journal of System Assurance Engineering and Management, Vol-15, No. 5, pp. 1815-1827.
https://doi.org/10.1007/s13198-023-02159-w https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173030756&doi=10.1007%2fs13198-023-02159-w&partnerID=40&md5=3daff5d502a2f4de1b17b786d653ed90
Singh S., Symbiosis Centre for Management Studies, Noida, Symbiosis International (Deemed University), Pune, 412115, India; Kumar N., School of Business and Management, CHRIST (Deemed to be University), Bangalore, 560029, India; Rawandale C.J., Symbiosis Law School, Noida, Symbiosis International (Deemed University), Pune, 412115, India; Bala M.M., Department of Economics, SRM University-AP, Amaravati, 522503, India; Gupta A.K., Amity International Business School, Amity University, U.P, Noida, 201313, India; Kapur P.K., Amity Centre for Interdisciplinary Research, Amity University, U.P, Noida, 201313, India
Impact of COVID-19 on the Share Prices of Life Insurance Companies: A Case of Economic Sustainability in India
The outbreak of the novel Coronavirus (COVID-19) has caused many economic disruptions worldwide. In particular, the Indian insurance industry has been adversely affected due to the impact of the pandemic. Furthermore, this market volatility has caused a steep fall in the stock prices of life insurance companies in the country. The share prices of life insurance companies have been affected due to decreased demand and uncertain market conditions. This study has considered three life insurance scripts from NSE, namely SBI Life, HDFC Life, and ICICI PRU, for the period from April 2020 to July 2021; the data has been taken on a daily basis. The methodology adopted was one of moving average trading rules to ascertain the profitability of the rule. Market returns of life insurance companies are not satisfying for the investor. Due to the pandemic, the insurance sector has been one of the most hard-hit sectors due to claims and releases. Life insurance has performed poorly during the period of the study. According to the data, if an investor entered the market during that period, then their position would have been stable, but investors holding the stock would have suffered a huge loss during this period. Investors need to wait for better opportunities post COVID-19. 2024 selection and editorial matter, Shalini Singh, Bhavna Sharma, and Garima Madaan Dua.
Perspectives in Sustainable Management Practices, pp. 129-138.
https://doi.org/10.4324/9781032640488-17 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179193338&doi=10.4324%2f9781032640488-17&partnerID=40&md5=ba2d1cbeda38000c2cba83bdf0b063f2
Singh S., School of Commerce, Finance and Accountancy, Christ (Deemed to be University), NCR, Delhi, India; Sharma B.; Dua G.M., Denmark Technical University, Denmark
HEALTH EXPENDITURES AND HEALTH OUTCOMES IN CENTRAL EUROPE AND THE BALTIC REGION
Baltic region; health expenditures; health outcomes; seemingly unrelated regression
In Central Europe and the Baltic region, healthcare expenditure has been growing slightly faster than across the euro area and in OECD countries. However, health outcomes as regards chronic diseases prove to be modest in the euro area and OECD countries compared to Central Europe and the Baltic region. Panel data analysis and country-specific regressions were conducted using World Bank data spanning from 2000 to 2019. Evidence suggests a significant correlation between private and current health expenditures and reduced mortality from chronic diseases in males, females and the total population across the panel, leading to improved longevity. Yet, public health expenditure does not correlate with a substantial reduction in mortality or a higher lifespan among the population, whether considered collectively or among males and females separately. Similarly, an increase in current health expenditure by one unit leads to significant reductions in mortality from non-communicable diseases: by 29 percent in the total population, 22 percent in females and 36 percent in males. Public health spending in Lithuania and Russia has been shown to decrease mortality from non-communicable diseases. Furthermore, chronic mortality is associated with a significant decline in labour productivity: by 42 percent in the total population, 40 percent in males and 45 percent in females. Therefore, interventions implemented through public health systems may reduce mortality from chronic conditions in the study countries. (2023), (Immanuel Kant Baltic Federal University). All Rights Reserved.
Singh S.; Singh A.; Mohan A.; Batola M.; Kumar N.
Baltic Region, Vol-16, No. 2, pp. 126-143.
Singh S., Symbiosis International Deemed University, Lavale, Tal, Maharashtra, Pune, 412115, India; Singh A., Graphic Era Hill University, 600, Bell Road, Clement Town, Uttarakhand, Dehradun, 248002, India; Mohan A., Graphic Era Deemed to be University, 566/6, Bell Road, Clement Town, Uttarakhand, Dehradun, 248002, India; Batola M., Graphic Era Hill University, 600, Bell Road, Clement Town, Uttarakhand, Dehradun, 248002, India; Kumar N., Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India
Pan-generation investigation of sustainability factors in conjunction with personality aspects influencing consumer's perception towards sustainable marketing
Consumer attitude; Consumer perception; Generation X and Y; Green; Personality; Social; Sustainable marketing
Sustainability has become the goal of governments and organizations worldwide since the 2030 agenda of the United Nations was declared. The large number of products has emerged in the market that claims to be green and sustainable or promise to serve a social cause. Even though numerous studies that claim consumers are increasingly conscious of their choices and consumption behaviour there has been a marked gap between this awareness and the actual behaviour exhibited. In a quest to comprehend the curious gap between the attitude and behaviour of consumers, several studies have endeavored to find a plausible explanation. Marketing specialists have come up with several strategies in order to make sustainable marketing a success but inexplicably still fail to do so. This study proposes a conceptual framework that comprehensively explains the impact of external and internal drivers for a consumer's perception of products that claim to be sustainable in nature, which may eventually explain the attitude-behaviour gap. This has been constructed using well-established consumer behaviour and personality theories. Sample size was calculated using proportion to population method and was derived as 270. Judgment and convenience sampling were used to collect the data through a structured questionnaire. The study uncovered that age influences the attitudes of consumers and both Gen X (cohort born between 1965-79) and Y (cohort born between 1980-96) bear positive attitudes towards sustainable marketing. Pricing had a major influence as well, buyers who ranked high on the 'Conventional' and 'Realistic' interests of the RIASEC personality model had a more positive perception. 2021 Ecological Society of India. All rights reserved.
Indian Journal of Ecology, Vol-48, pp. 34-39.
Singh S., CHRIST (Deemed to be University), Delhi NCR, 201 003, India; Suresh A.S., CHRIST (Deemed to be University), Delhi NCR, 201 003, India; Sharma V., CHRIST (Deemed to be University), Delhi NCR, 201 003, India