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Teachers Technology Proficiency for Quality Learning and TeachingA Scoping Review
Teachers with solid technological backgrounds are better equipped to improve and transform the educational process to achieve a high-quality education. The Arksey and O'Malley framework was adopted for this scoping review, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used to choose journals. The study aimed to analyze international studies to ascertain the authors study design, teachers ICT proficiency, the study's significance, and potential areas for improvement. The findings suggested that teachers ICT proficiency would increase instructional efficacy, ultimately raising educational standards. The Author(s) 2025. -
Nonlinear optical studies of sodium borate glasses embedded with gold nanoparticles
Optical glasses possessing large third-order optical nonlinear susceptibility and fast response times are promising materials for the development of advanced nonlinear photonic devices. In this context, gold nanoparticle (NP)-doped borate glasses were synthesized via the melt-quench method. The nonlinear optical (NLO) properties of thus prepared glasses were investigated at different wavelengths (i.e., at 532nm using nanosecond pulses, at 750nm, 800nm, and 850nm wavelengths using femtosecond, MHz pulses). At 532nm, open aperture (OA) Z-scan signatures of gold NP-doped borate glasses demonstrated reverse saturable absorption (RSA), attributed to mixed intra-band and interband transitions, while in the 750?850nm region, the OA Z-scan data revealed the presence of saturable absorption (SA), possibly due to intra-band transitions. The NLO coefficients were evaluated at all the spectral regions and further compared with some of the recently reported glasses. The magnitudes of obtained NLO coefficients clearly demonstrate that the investigated glasses are potential materials for photonic device applications. 2018, Springer-Verlag GmbH Germany, part of Springer Nature. -
No right is absolute: the need for a more responsible use of social media
[No abstract available] -
Development of perceived prenatal maternal stress scale
Background: Pregnancy is a state, which is often associated with extreme joy and happiness. Women undergo a number of physiological and psychological changes during pregnancy, which are often stressful if aligned with other adverse life events, compromising their health and well-being. However, there exists no comprehensive psychological instruments for measuring this stress. Objectives: The study was conducted to develop a multidimensional scale to assess prenatal maternal stress (PNMS) comprehensively. Methods: The initial phase of the study focuses on developing items and assessing the content validity of these items. The second phase focuses on pilot-testing and field-testing the newly developed perceived PNMS scale (PPNMSS) among 356 pregnant women belonging to different parity and trimester from November 2015 to October 2016. Results: The underlying factor structure of the 28-item PPNMSS had explored using exploratory factor analysis. The final scale is retained with 15 items having considerable item loading under four major factors as follows: perceived social support, pregnancy-specific concerns, intimate partner relations, and financial concerns. Reliability of each of these dimensions was assessed using Cronbach's alpha. Convergent and divergent validity of the scale was assessed by correlating the scores with perceived stress scale and the World Health Organization (five) well-being index (1998 version). Conclusions: As a comprehensive scale, PPNMSS is efficient to measure PNMS, which facilitates an early detection of stress and depression among pregnant women and timely intervention by health care professionals. -
Social Entrepreneurship for Digital Governance Services: An Empirical Analysis of Government and Societal Supporting Factors
Purpose: In a fast-growing social entrepreneurship field, the societal entrepreneurial intention is vital to understand to meet social needs and create sustainable rural development. This research study aims to investigate e-governance service core constructs, Hockert's (2017) societal entrepreneurial intention (SEI) and the social cognitive career theory (SCCT) model core that determines rural societal entrepreneurs intention in establishing e-governance social service centres. Design/methodology/approach: Based on a convenient and purposive sampling method, 596 survey sample data were collected through an online questionnaire from an e-governance-based social entrepreneur in Karnataka, India. The partial least square-based structural equation modelling was utilised to analyse the survey data and conceptual model. Findings: The findings indicate that empathy, appointing agencies support (APS), perceived societal support (PSS), prior experience, and government support significantly predict societal entrepreneurship self-efficacy (SES). Hence, social image and perceived process support were insignificant in predicting societal entrepreneurial self-efficacy. Furthermore, societal self-efficacy significantly influences outcome expectations and societal entrepreneurship intention to embark on e-governance social service centres. Originality: The current study was the first to explore the fully integrated model approach of Hockertss societal entrepreneurial intention theoretical model, SCCT and e-governance service supporting factors in framing rural societal entrepreneurs intention in establishing e-governance social service centres development. Key points for practitioners: The study results provide valuable insights for governments, agencies, social entrepreneurs, and social communities to establish a framework for developing and efficiently operating digital seva service centres and generating a positive social impact in rural and distant regions. The Author(s) 2025. -
Critiquing the Regulation of Sand Mining in India: The Role of Social Workers
The soaring demand for sand driven by rapid urbanisation, population growth and increased global investment in infrastructure has intensified sand mining activities worldwide, with current extraction rates exceeding natural replenishment. The Government of India has strengthened legislation by amending existing laws and formulating new guidelines to govern sand mining operations. However, sand mining activities, both legal and illegal, have continued unabated, leading to various consequences across the country. The prevailing laws in India appear to be stringent but have failed in effective implementation at the grassroots level. Therefore, illegal and irregular sand extraction operations have continued to occur at an accelerated pace. The observations indicate that regulatory authorities are merely symbolic and ineffective in controlling and monitoring sand mining operations effectively at the community level. Further, the inefficiency of authorities has facilitated indiscriminate and illicit sand mining operations, resulting in significant social, economic and ecological repercussions. Considering these aspects, the present study advocates the use of social work methods, such as community organisation, social work research and social action, to address the issue effectively. Furthermore, it urges local authorities and policymakers to take action by setting up vigilance committees in every community, so that people themselves can monitor sand mining and protect their surroundings more effectively. The Author(s) 2026 -
Consumer perception and acceptance of minute maid pulpy orange in puducherry
International Journal of Management & Business Studies, 3 (2), pp. 119-121. ISSN-2230-2463 -
EFFICIENT NON-DEGRADABLE WASTE PROCESSING TECHNOLOGIES INTEGRATED WITH MANETS FOR SUSTAINABLE WASTE MANAGEMENT MODELS
In order to handle the growing amount of non-biodegradable trash, creative and sustainable solutions are becoming more and more necessary as the global waste management challenge grows. To create a complete and sustainable waste management model, this investigation suggests a revolutionary approach that combines Mobile Ad-hoc Networks (MANETs) with effective non-degradable waste processing technology. Utilising cutting-edge waste processing technology that can efficiently handle non-biodegradable materials including plastic, e-waste, and other persistent pollutants is the main goal of this. With the goal of reducing their negative effects on the environment and advancing the concepts of circular economy, these technologies include sophisticated sorting systems, chemical treatments, and recycling procedures. Furthermore, the efficiency and real-time monitoring of waste processing processes are improved by the incorporation of MANETs into the waste management paradigm. MANETs enable smooth data transmission and communication between the central control centres, waste processing units, and monitoring sensors that make up the waste management system. Because of this connectedness, waste processing activities can be dynamically optimised, facilitating prompt resource allocation and decision-making. In addition to addressing the environmental issues raised by non-biodegradable garbage, the suggested paradigm advances the creation of intelligent and networked waste management systems. Because MANETs are used, the system is scalable and adaptable, making it appropriate for a variety of urban and rural areas. The model incorporates the Ant Colony Optimisation (ACO) algorithm for resource allocation. The integration of ACO optimises resource allocation, contributing to the reduction of environmental footprints associated with waste processing. The interconnectedness facilitated by MANETs, in conjunction with ACO, enables dynamic optimisation of waste processing operations, ensuring prompt resource allocation and decision-making. This investigation envisions a sustainable waste management model that minimises pollution, promotes resource recovery, and establishes a robust framework for addressing the growing challenges of non-degradable waste on a global scale by combining cutting-edge waste processing technologies with a strong communication infrastructure. The results of the investigation have a significant impact on waste management procedures by encouraging a more ecologically friendly and sustainable way to deal with non-biodegradable garbage. 2024, Scibulcom Ltd. All rights reserved. -
Perception of online adult education in different countries
Adult education has gained immense popularity during a pandemic. Adult learners are able to meet their educational requirements through online education. Adult learners also prefer online education due to convenience and self-learning interests. Online education also poses challenges and discomfort to online learners. Statistics indicate a higher dropout rate among adult online learners due to various factors. This chapter focuses on the significant challenges adult online learners face and has identified tools, strategies, and techniques to empower and motivate them. This chapter will also help us to understand how tools and techniques, such as information and communication technology, allow us to increase the number of such learners in different countries. Information and communication technology tools are used in developed and developing countries to encourage and motivate adult learners to improve their education virtually at their convenience. 2023, IGI Global. All rights reserved. -
Accessing the role of critical success factors for successful ERP implementation at Indian SMEs: A statistical validation
Indian SMEs are also integral part of Indian economy; they also face numerous challenges in implementing technologies such as enterprise resource planning (ERP) systems, including a lack of human, technical and financial resources to support such initiatives. Like many other technological advances, ERP systems were initially implemented mostly at large organisations even in India. Their relative absence from Indian SMEs has probably been the main reason for the research focus on large Indian enterprise. A model is developed with the help of quantitative survey-based method to identify and rank the 30 CSFs and, then a framework has been proposed in terms of recommendations for managing these CSFs. It was determined whether the survey instrument was complete and clear or not with the help of pre-pilot survey of 30 questionnaires responses from the Indian ERP consultants. As a result, the initial survey instrument was extensively revised. For the final data collection, new revised survey instruments were then given via a survey to 500+ Indian ERP consultants. Copyright 2013 Inderscience Enterprises Ltd. -
A Survey Instrument for Ranking of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs
Bioinfo Business Economics, Vol-1 (1), pp. 06-12. ISSN-2249-1775 -
IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine
Presently, wearables act as a vital part of healthcare sector and they are able to offer exclusive perceptions about the person's health conditions. In contrast to traditional diagnosis in a hospital environment, wearables can give unrestricted access to real-time physiological data. COVID-19 epidemic is increasing at a faster rate with limited test kits. Hence, it becomes essential to develop a novel COVID-19 diagnostic model. Numerous studies were based on the utilization of artificial intelligence techniques on radiological images to precisely identify the disease. This chapter presents an efficient fusion-based feature extraction with multikernel extreme learning machine (FFE-MKELM) for COVID-19 diagnosis using internet of things (IoT) and wearables. Primarily, the wearables and IoT are used to capture the radiological images of the patient. The presented FFE-MKELM model incorporates Gaussian filtering based preprocessing for removing the noise that exists in the radiological image. Besides, directional local extreme patterns with deep features based on Inception v4 model are applied for the FFE process. In addition, MKELM model is utilized as a classification model to determine the appropriate class label of the input radiological images. Moreover, monarch butterfly optimization algorithm is applied to fine tune the parameters involved in the MKELM model. Experimental validation of the FFE-MKELM model is performed against benchmark dataset and the outcomes are inspected under different measures. The resultant simulation outcome ensured the betterment of the FFE-MKELM method by demonstrating an increased sensitivity of 97.34%, specificity of 97.26%, accuracy of 97.14%, and F-measure of 97.01%. 2022 Elsevier Inc. All rights reserved. -
MHD flow and nonlinear thermal radiative heat transfer of dusty prandtl fluid over a stretching sheet
Boundary layer flows and melting heat transfer of a Prandtl fluid over a stretching surface in the presence of fluid particle suspensions has been investigated. The converted set of boundary layer equations are solved numerically by RKF-45 method. Obtained numerical results for flow and heat transfer characteristics are deliberated for various physical parameters. Furthermore, the skin friction coefficient and Nusselt number are also presented in Tabs. 2 and 3. It is found that the heat transfer rates are advanced in occurrence of nonlinear radiation compered to linear radiation. Also, it is noticed that velocity and temperature profile increases by increasing Prandtl parameter. 2020 Tech Science Press. -
Radiative heat transfers of Carreau fluid flow over a stretching sheet with fluid particle suspension and temperature jump
The current study is to deliberate the flow and heat transfer of a Carreau fluid over a stretching sheet with fluid particle suspension. The temperature jump is also taken into account. The standard nonlinear system is resolved numerically via Runge-Kutta based shooting scheme. Role of substantial parameters on flow fields as well as on the fiction factor and heat transportation rates are determined and conferred in depth through graphs. It's found that the velocity profile decreases and temperature profile increases, with an increasing the values of Weissenberg parameter. Further, the higher thermal slip parameter reduces the thermal boundary layer thickness. The thermal boundary layer thickness of fluid and dust particles decreases with the rise in Prandtl number. 2017 The Authors -
Effect of nonlinear thermal radiation on double-diffusive mixed convection boundary layer flow of viscoelastic nanofluid over a stretching sheet
Background: The present exploration deliberates the effect of nonlinear thermal radiation on double diffusive free convective boundary layer flow of a viscoelastic nanofluid over a stretching sheet. Fluid is assumed to be electrically conducting in the presence of applied magnetic field. In this model, the Brownian motion and thermophoresis are classified as the main mechanisms which are responsible for the enhancement of convection features of the nanofluid. Entire different concept of nonlinear thermal radiation is utilized in the heat transfer process. Methods: Appropriate similarity transformations reduce the nonlinear partial differential system to ordinary differential system which is then solved numerically by using the RungeKuttaFehlberg method with the help of shooting technique. Validation of the current method is proved by having compared with the preexisting results with limiting solution. Results: The effect of pertinent parameters on the velocity, temperature, solute concentration and nano particles concentration profiles are depicted graphically with some relevant discussion and tabulated result. Conclusions: It is found that the effect of nanoparticle volume fraction and nonlinear thermal radiation stabilizes the thermal boundary layer growth. Also it was found that as the Brownian motion parameter increases, the local Nusselt number decreases, while the local friction factor coefficient and local Sherwood number increase. The Author(s). 2017. -
An Aqueous Phase TEMPO-Mediated Electrooxidation of Benzyl Alcohol at ?-CD-PPy-Modified Carbon Fibre Paper Electrode
A green and facile electrocatalytic method for the oxidation of benzyl alcohol in an acidic aqueous medium was developed using an anionic micellar system. ?-cyclodextrin-polypyrrole-modified carbon fibre paper (?-CD-PPy/CFP) electrode was successfully used in the oxidation of benzyl alcohol with TEMPO as the mediator. The modified electrode was characterized by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), fourier transform infrared spectroscopy (FTIR) and Raman spectroscopy. The modified electrode exhibited a strong electrocatalytic activity towards TEMPO-mediated oxidation of benzyl alcohol. [Figure not available: see fulltext.]. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Information Extraction Using Data Mining Techniques For Big Data Processing in Digital Marketing Platforms
In the dynamic landscape of digital marketing, harnessing the potential of big data has become paramount for informed decision-making. This study explores the integration of data mining techniques within big data processing frameworks to extract valuable information in digital marketing platforms. With the exponential growth of data generated through online interactions, social media, and e-commerce, traditional methods fall short of uncovering meaningful insights. This research focuses on leveraging advanced data mining algorithms to sift through vast datasets, identifying patterns, trends, and user behaviours. The proposed approach aims to enhance marketing strategies by extracting actionable intelligence from diverse data sources. Techniques such as association rule mining, clustering, and sentiment analysis will be employed to unveil hidden correlations, segment target audiences, and gauge consumer sentiment. The scalability of big data frameworks ensures efficient processing of massive datasets, allowing marketers to make real-time, data-driven decisions. Additionally, the study explores the challenges and opportunities associated with implementing data mining in big data environments for digital marketing. This research contributes to the evolving field of digital marketing by providing a comprehensive framework for extracting, processing, and utilizing information from big data. The findings promise to empower marketers with a deeper understanding of consumer behaviour, enabling the development of more personalized and effective marketing strategies in the ever-evolving digital ecosystem. 2023 IEEE. -
Study of two-dimensional, all-time dispersion of a solute in a fluid-saturated porous medium
The effect of interphase mass transfer on dispersion in a unidirectional flow through a horizontally extent of infinite porous channel is examined using the generalized dispersion model of Sankarasubramanian and Gill [91]. The model brings into focus three important coefficients namely the exchange coefficient, the convection coefficient and the dispersion coefficient. The exchange co- efficient exists due to interphase mass transfer. The effects of reaction rate parameter, ? porous parameter, ? and Brinkman number, ??, on the veloc- ity and thereby the convective and dispersion coefficients are discussed. The time-dependent dispersion coefficient and mean concentration distribution are computed and results are represented graphically for various values of ? ? and ??. The results have applications in heat exchangers, petroleum and chemical engineering problems, chromatography and bio-mechanical problems. -
Implementing quality healthcare strategies for improving service delivery at private hospitals in India /
Journal of Health Management, ISSN No. 0972-0634. -
Dynamic Pricing in Airline Industry
Asian Journal of Research in Business Economics and Management, Vol. 7, Issue 1, pp. 15-29, ISSN No. 2249-7307