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Viscosity-sensitive and AIE-active bimodal fluorescent probe for the selective detection of OCl? and Cu2+: a dual sensing approach via DFT and biological studies using green gram seeds
A novel dual-mode viscosity-sensitive and AIE-active fluorescent chemosensor based on the naphthalene coupled pyrene (NCP) moiety was designed and synthesized for the selective detection of OCl? and Cu2+. In non-viscous media, NCP exhibited weak fluorescence; however, with an increase in viscosity using various proportions of glycerol, the fluorescence intensity was enhanced to 461 nm with a 6-fold increase in fluorescence quantum yields, which could be utilized for the quantitative determination of viscosity. Interestingly, NCP exhibited novel AIE characteristics in terms of size and growth in H2O-CH3CN mixtures with high water contents and different volume percentage of water, which was investigated using fluorescence, DLS study and SEM analysis. Interestingly, this probe can also be effectively employed as a dual-mode fluorescent probe for light up fluorescent detection of OCl? and Cu2+ at different emission wavelengths of 439 nm and 457 nm via chemodosimetric and chelation pathways, respectively. The fast-sensing ability of NCP towards OCl? was shown by a low detection limit of 0.546 ?M and the binding affinity of NCP with Cu2+ was proved by a low detection limit of 3.97 ?M and a high binding constant of 1.66 103 M?1. The sensing mechanism of NCP towards OCl? and Cu2+ was verified by UV-vis spectroscopy, fluorescence analysis, 1H-NMR analysis, mass spectroscopy, DFT study and Job plot analysis. For practical applications, the binding of NCP with OCl? and Cu2+ was determined using a dipstick method and a cell imaging study in a physiological medium using green gram seeds. 2024 The Royal Society of Chemistry. -
Use of blockchain technology for smart health-care services: a critical perspective of ethnic minority group
Purpose: The essence of blockchain governance is a far departure from the cryptocurrency or Bitcoin that has led to innovation and changing the outline of medical services. The major challenge in medical services is the lack of accessibility of medical services and lack of awareness. A large group of the population belonging to an ethnic minority has a high rate of complications, re-operation and graft rejection. To connect with a minority group and address privacy and safety issues, blockchain-based e-health-care services have massive potential in the medical industry, especially from the perspective of the social aspect. Design/methodology/approach: The study proposed a framework that describes the complex interplay of different stated factors, including perceived ease of use, trust, perceived usefulness and perceived security and privacy. The paper uses structural equation modeling to understand the ethnic minority groups readiness to adopt blockchain-based e-health-care services. Findings: It was found that all the direct relationships between variables are supported by the findings and have a significant positive relationship with the adoption intention. The tested framework will help regulatory bodies and marketers to develop support health-care service mechanisms for ethnic minority groups by addressing their issues related to security and privacy. Originality/value: Blockchain-based e-health-care services have massive potential in the medical industry, although, its actual diffusion has not been explored much, with particular reference to an ethnic minority group. This study will explore the diffusion of smart health-care services with respect to ethnic minority group. 2023, Emerald Publishing Limited. -
Blockchain for customer transparency in e-commerce a survival of fittest not fastest
Blockchain has been envisioned as the most disruptive technology in the landscape of ecommerce. There has been an array of challenges for e-commerce retailers to handle like transparency, immutability, reliability and disintermediation. The paper is an attempt to understand consumer acceptance towards new technology where the primary focus would be transparency and plans for human salvation by combating the environment and ethical challenges. The study emphasises the prospective use of blockchain technology in ecommerce industry which has been coupled with the vagueness of these issues. Unified theory of acceptance and use of technology (UTAUT) has been used as the base model to understand the consumer behaviour towards using blockchain technology as a new platform with special reference to fashion apparel sector. Providing traceability of product with an objective of consumer transparency in this mould will change the way of doing online shopping and will have more onus on retailers. Copyright 2023 Inderscience Enterprises Ltd. -
Impact of Mahatma Gandhi National Rural Employment Guarantee Act on Rural Credit System in India: A Standard Logit Difference in Difference Approach
The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) of India is one of the most extensive social safety nets programs in the developing world. The initiative attempts to enhance rural livelihoods in India by lowering rural poor vulnerability and misery. The programs nature and extent of execution vary from state to state. Using panel data sets from the Indian Human Development Survey (IHDS), which covering India for two waves, 200405 and 201112. We used a quasi-experimental approach, such as the difference-in-difference technique of effect evaluation, to quantify the programs influence on rural families credit and debt structures. The empirical analysis shows evidence of changing the behavior of taking loans from formal sources among non-poor households actively participating in the MGNREGA program. But the difference-in-difference results shows that among poor households participating in the MGNREGA scheme, the tendency to depend on formal sources to take loans is still insignificant. That means informal lending sources are still more prevalent among poor people. This tendency has not changed even after the initiation of this program. The article finishes with policy recommendations for successfully targeting the program, notably the social safety net benefits to disadvantaged households in India. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Decision-making using regression analysis: a case study on Top Tier Holidays LLP
Research methodology: This study aims to investigate the factors that contribute to the overall tour experience and services provided by Top Tier Holidays. The study is mixed in nature, and the researchers have used analytical tools to analyse the data factually. Multiple regression using MS Excel is used in the study. Case overview/synopsis: This case is based on the experiences of a real-life travel and tour company located in New Delhi, India. The case helps understand regression analysis to identify independent variables significantly impacting the tour experience. The CEO of the company is focused on improving the overall customer experience. The CEO has identified six principal determinants (variables) applicable to tour companies success. These variables are hotel experience, transportation, cab driver, on-tour support, itinerary planning and pricing. Multiple regression analysis using Microsoft Excel is conducted on the above determinants (the independent variables) and the overall tour experience (the dependent variable). This analysis would help identify the relationship between the independent and dependent variables and find the variables that significantly impact the dependent variable. This case also helps us appreciate the importance of various parameters that affect the overall customer tour experience and the challenges a tour operator company faces in the current competitive business environment. Complexity academic level: This case is designed for discussion with the undergraduate courses in business management, commerce and tourism management programmes. The case will build up readers understanding of linear regression with multiple variables. It shows how multiple linear regression can help companies identify the significant variables affecting business outcomes. 2023, Emerald Publishing Limited. -
Sustainable Computing: A Determinant of Industry 4.0 for Sustainable Information Society
Rapid advancement in technology and continuous environmental degradation have attracted the attention of practitioners toward sustainable solutions. This study intends to promote Industry 4.0 information society research by comprehending sustainable ICT adoption in businesses to promote sustainable information society (SIS). Further, it extends the theory of planned behavior model and deploys a quantitative research approach. The findings from PLS-SEM confirm the perceived environmental responsibility (PER), a precursor for attitude (ATT), perceived behavioural control (PBC), and subjective norm (SN). Further, there is a significant positive influence of ATT, PBC, and SN on the adoption intention of sustainable ICT practices followed by the effect of adoption intention on sustainable information society (SIS). This study bridges the literature gap through a novel attitude behavior gap model and provides a possible understanding of how businesses might contribute to the creation of sustainable development and information society. 2022 Nishant Kumar et al. -
Solution of a dengue fever model via fractional natural decomposition and modified predictor-corrector methods
In this paper, we solved a model of a well-known infectious disease called dengue fever via fractional natural decomposition and modified Predictor-Corrector (PC) methods. A study of the dengue epidemic in the Cape Verde Islands off the coast of West Africa in 2009 has been resumed here for a better understanding of the results. The results are obtained using Liouville-Caputo and new generalized Caputo-type fractional derivatives. The numerical simulations are presented for various orders of given derivatives. Existence and uniqueness analysis of the given problem are also performed in the new generalized Caputo sense. The explored results are verified using figures. The main target of this paper is to explore the different dynamics of the given dengue fever model via two types of fractional numerical algorithms. 2024 World Scientific Publishing Company. -
Magnetohydrodynamic flow of williamson nanofluid due to an exponentially stretching surface in the presence of thermal radiation and chemical reaction
A steady MHD boundary layer flow of Williamson nanofluid over an exponential stretching surface through a porous medium is considered. The effects of Brownian motion and thermophoresis have examined in the energy transport equation. The influences of solar radiation and chemical reaction are taken into the account. The governing boundary layer equations with the boundary conditions are transformed into nonlinear ordinary differential equations with the help of selected exponential type of similarity variables. They are then solved numerically using well-known Shooting technique along with Runge-Kutta-Fehlberg method. The numerical results are presented through graphs and a table to discuss the characteristics of different flow fields versus pertinent parameters. Comparisons with previously published work have been conducted and the results are found to be in good agreement. It is found that temperature field is enhanced for the larger Brownian motion, thermophoresis parameter and radiation parameter effects. 2017 by American Scientific Publishers. All rights reserved. -
Mixed convection 3D radiating flow and mass transfer of eyring-powell nanofluid with convective boundary condition
Three-dimensional mixed convection flow, heat and mass transfer of Eyring-powell fluid over a convectively heated stretched sheet is inspected in this paper. The encouragement of Brownian motion, thermophoresis, convective condition and thermal radiations are accounted. Appropriate transformations are used to reduce the principal PDE's into set of coupled highly nonlinear ODE's which are then solved numerically using RKF fourth-fifth order method. The consequence of several parameters on flow, heat and mass transfer characteristics are deliberated with the help of graphs and tables. It is observed that the temperature and concentration profiles diminish for higher values mixed convection parameter. Further, the temperature and its related boundary layer thickness is increases with increasing the Biot number and thermal radiation effects. 2018 Trans Tech Publications, Switzerland. -
Utilization of Iron Ore Tailings for the Production of Fly Ash - GGBS-Based Geopolymer Bricks
In India, million tons of manufacturing ravages such as ground-granulated blast furnace slag (GGBS), fly ash and mine tailings, are endangering. These ravages turn out to be injurious as they are landfilled close to the production sites and somewhere else. Since these manufacturing ravages include silica, alumina, calcium, etc., it is probable to formulate these as unprocessed resources to produce building substance which diminishes the carbon trace. In this circumstance, this analysis observes on utilizing iron ore tailings and slag sand as a substitution for clay or natural sand for the construction of steady geopolymer obstruct. Furthermore, in this analysis, geopolymer is utilized as a binder rather than cement. Expansion of geopolymer binder-oriented bricks with fly ash and GGBS has been implemented in this study. The analysis consists of automatic possessions of the geopolymer bricks. Sodium silicate (Na2SiO3) and sodium hydroxide (NaOH) resolution have been employed as alkaline activators. The proportion of alkaline liquid to aluminosilicate solid quotient and fraction of binder encompass foremost control on the force of brick. The bricks were casted and cured at ambient warmth. The compressive strength was tested at 7, 14 and 28 days. 2017 World Scientific Publishing Company. -
Impact of sentimental factors on stock portfolio returns an empirical analysis
This study aims to introduce an integrated model for understanding the influence of various sentimental factors in conjunction with macroeconomic factors on portfolio returns across ten industry sectors within the US market. These sentimental factors are categorized into market-wide, consumer, and individual stock market factors to assess their impact on industry portfolio returns. Employing the Autoregressive Distributed Lag (ARDL) model, the study evaluates the effects of macroeconomic and sentimental factors on stock market portfolio returns. The findings reveal a negative relationship between short-term interest rates and portfolio returns in specific industry sectors like manufacturing, telecom, and wholesale/retail. The study finds a positive relationship between the Hi-tech sector's risk spread and portfolio returns. Market sentimental factors positively influence portfolio returns of durable, non-durable, utility, and other sectors. Individual sentimental factors negatively impact portfolio returns in hi-tech, utility, durable, energy, and other sectors. The stock market-related individual, sentimental factor of the number of IPOs has a positive impact on portfolio returns in the energy sector and a negative impact on portfolio returns in other sectors. Consumer sentimental factors are significant positive determinants for portfolio returns in durable, energy, telecom, health, and other sectors. Discounts on closed-end funds may provide vital fundamental information regarding lower future earnings for stocks in the durable and energy sectors. The study provides valuable insights for investors to optimize their portfolio strategies in response to macroeconomic and sentimental factors within specific industry sectors. 2024 The Authors -
Modeling Environmentally Conscious Purchase Behavior: Examining the Role of Ethical Obligation and Green Self-Identity
Due to environmental degradation, using environment-friendly products has become necessary to reduce carbon emissions. However, the consumption of such products is still below expectations because these products are usually costlier than their traditional counterparts. The current study aims to investigate consumer behavior towards environment-friendly products using Ajzens theory of planned behavior as a theoretical model. The study seeks to examine the role of the key determinates of environmentally conscious purchase behavior, such as ethical obligation and green self-identity. A total of 386 responses were collected from consumers living in a few major cities of northern India using purposive sampling. The data were analyzed using structural equation modeling in Amos 22.0. The results demonstrated that attitudes towards environment-friendly products perceived behavioral control and green self-identity as the major determinants of green purchase intentions. In addition, attitude was reported to mediate the effect of ethical obligation on green purchase intentions and green self-identity was found to moderate the effect of attitude on green purchase intentions. Additionally, green self-identity was also reported to moderate the relationship between ethical obligation and attitude. The study adds value to the existing literature by signifying the role of green self-identity and ethical obligation in stimulating consumers green purchase intentions. The findings of the study are also meaningful for marketers and policymakers. 2023 by the authors. -
Transient analysis of the reinforced concrete framed structure with steel fibres when subjected to blast loads
In the recent past in major cities all over the world, public structures are vulnerable to blast loads caused by explosions either accidentally or intentionally. The purposeful causes are not on solidified military targets however on significant regular civilian structures, similar to business, monetary and urban focuses. The study of fortified solid Ground + 3 Storied structure exposed to impact burdens have picked up significance, as routinely the strengthened solid structures are not intended for shoot stacks the same number of the stacking codes due not command for the equivalent and because of the way that measuring the greatness of the impact burden is hard to appraise. In any case, the structures are defenceless to harm from the blast. To secure the life of individuals and to limit the harm to the structure, it has turned out to be basic to consider the impact of impact stacks too notwithstanding the customary burdens, considered according to the overarching codes, during the investigation and plan of every single open structure. The charge weights of the explosive used on the structure are 8kg, 16 kg and 24kg. The equivalent blast pressure subjected on the structure is determined, to study its corresponding effects for stand-off distances of 3000 mm and 6000mm using surface blast load. The behavior of the structure is studied by varying the parameters and verified which of these parameters can be critical to the performance of the structure. The response of the ground floor + 3 upper storied reinforced concrete skeletal structure is studied for understanding the variation of the displacements, strains and stresses for the parameters considered. The 3D modeling of structure and structural components were produced by utilizing of PTC CREO 3.0. Discretization (meshing) of structural also its components were used in HYPERMESH. Static analysis and blast load analysis was carried out using ANSYS. A reinforced concrete structure can be designed and constructed to passively control the effects of the blast loads on the structure by including steel fibers to the concrete to improve its performance by reducing the deflections and the strain rates based on the standoff distance and the charge weight used in the explosion. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India
The emergence of high-speed internet (5G) services and the demonetization of the Indian currency by the Government of India in the year 2016 served as catalysts for the growth of banking services, such as internet/mobile banking. The main objective of the study was to investigate the role of perceived financial cost, perceived risk, and trust in the adoption of mobile banking services by users. The study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) to explain the adoption of mobile banking services by young Indian customers. The data from 253 users of age between 1830 years were collected through a survey questionnaire and were analyzed using structural equation modeling with Amos 22.0. The results revealed that performance expectancy, effort expectancy, social influence, and perceived financial cost exhibited a significant positive influence on behavioral intentions. However, the facilitating conditions were found to exert no effect on actual use. In addition, the results demonstrate that both perceived risk and perceived trust moderate the relationship between behavioral intention and the actual use of mobile banking. The results of the study provide some novel insights into how perceived risk and perceived trust shape the interplay between behavioral intention and the actual use of mobile banking services. The inferences drawn from the study may enhance the understanding of the transformation of behavioral intention into the adoption and actual use of mobile banking services. 2023 by the authors. -
Analysis of the photo-thermal excitation in a semiconducting medium under the purview of DPL theory involving non-local effect
Non-local theory comprises a unique characteristics by analyzing the effects of all points of the body on a single point of the material. The present study enlightens the propagation of photo-thermal waves in a semiconductor by adopting the two phase lag theory of thermoelasticity in the frame of non-local effect. Normal mode analysis has been employed to obtain the exact expressions of the field quantities such as temperature, components of the displacement, carrier density, and components of the stress. Each field quantity is found to be influenced by the non-local parameter as well as phase lags. Quantitative results are determined in the time-domain by adopting a suitable technique of Laplace transform inversion which exhibit the influence of the non-locality effect on the distributions of field variables. Significant differences have been attributable to the studied fields due to the non-locality effect. Also, computational results are compared with the corresponding results obtained by using single phase lag theory proposed by Lord and Shulman (LS model)LS model single phase lag model (LS model). 2022, Springer Nature B.V. -
Characterization of thermal damage of skin tissue subjected to moving heat source in the purview of dual phase lag theory with memory-dependent derivative
This investigation is devoted to exhibit the thermal damage of skin tissue exposed to a moving heat source. Modelling of the problem is performed by adopting dual phase lag theory of bio heat transfer in context of memory dependent derivative. Laplace transform technique has been adopted to represent the analytical solutions of temperature and thermal damage of skin tissue. Thermal damages to the tissues are calculated by the extent of the denatured protein employing with the Arrhenius equation. In order to predict the significance of memory dependent derivative approach, computational results of temperature and thermal damage are evaluated in the frame of different kernel functions as well as time-delay. For the purpose of exhibiting the attractiveness of the present model, obtained results are compared with the results corresponding to the absence of memory dependent derivative. Also, the impact of the velocity of moving heat source has been precisely investigated on temperature variation and thermal damage of skin tissue using quantitative results. Authors believe that this study will be helpful to study the thermal treatment of several diseases such as hyperthermia. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Technology acceptance model and customer engagement: mediating role of customer satisfaction
The primary aim of this study is to examine the influence of the technological acceptance model on customer engagement. An additional aim of this study is to examine the mediating effect of customer satisfaction in the relationship between the technology acceptance model and customer engagement. The present study gathered primary data from users of retail banking services in specific metropolitan areas in India. The participants were chosen based on their considerable expertise in utilizing online, digital, and mobile banking platforms and their substantial knowledge of implementing advanced e-banking strategies. The application of confirmatory factor analysis investigated measurement validity. The studys findings indicate a significant correlation between emotional and rationalengagement, mediated via perceived usefulness. Additionally, the study revealed that the relationship between perceived usefulness and emotional engagementis mediated by customer satisfaction. Furthermore, it can be observed that this factor entirely mediates the relationship between transaction cost and emotional engagement. The studys findings suggest that customer satisfaction is a complete mediator in the association between transaction cost and rational engagement. The results of this study make a valuable contribution to the current body of literature on the technological acceptance model, customer satisfaction, and customer engagement. The Author(s), under exclusive licence to Springer Nature Limited 2023. -
Data analysis in road accidents using ann and decision tree
Road accidents have become some of the main causes for fatal death globally. A report tells that road accident is the major cause for high death rate other than wars and diseases. A study by World Health Organization (WHO), Global status report on road safety 2015 says over 1.24 million people die every year due to road accidents worldwide and it even predicts by 2020 this number can even increase by 20-50%. This can affect the GDP of the Country, for developing countries this can affect adversely. This paper shows the use of data analytics techniques to build a prediction model for road accidents, so that these models can be used in real time scenario to make some policies and avoid accidents. This paper has identified the attributes which has high impact on accident severity class label. IAEME Publication. -
Chemical Reaction Effects on Nano Carreau Liquid Flow Past a Cone and a Wedge with Cattaneo-Christov Heat Flux Model
Chemical reaction aspect is utilized for heat mass transfer analysis of nano non-Newtonian liquid flow past a cone and a wedge. Flow is steady, laminar and two dimensional created due to a cone and a wedge. The Carreau liquid and Cattaneo-Christov heat flux models are utilized. The magneto-nano Carreau liquid material occupies the porous space. The relevant PDEs are rendered into coupled non-linear ODEs via appropriate transformations before treated them numerically through Runge-Kutta and Newton's method. The computed results are plotted for employing the various values of physical constraints on the profiles of velocity, temperature and nanoparticle volume fraction. Moreover, vitiation of the friction factor, Nusselt number and Sherwood number against physical parameters are presented numerically. It is figured out that convective heating and Brownian motion effects are constructive for thermal boundary layer growth. Aspect of chemical reaction is significant to control the solute layer growth and mass transfer rate. 2017 Walter de Gruyter GmbH, Berlin/Boston. -
Comprehensive study of the physicochemical properties of three-component deep eutectic solvents and their implications for microbial and anticancerous activity
Sustainable chemistry centers on substituting perilous solvents and materials with eco-conscious alternatives. Deep eutectic solvents (DES) hold substantial potential in this arena. This inquiry includes the formulation of three-component eutectic solvents and an exhaustive scrutiny of their physical and chemical attributes. These encompass solubility, boiling point, pH, density, viscosity, surface tension, refractive index, contact angle, conductivity, Fourier-transform infrared spectroscopy, polarized optical microscopy, thermogravimetric analysis, and differential scanning calorimetry. Furthermore, a biological exploration featured two bacterial strains and two fungal strains. The entire spectrum of ten three-component DES was administered to these microorganisms to discern plausible impacts. In addition, the biomedical promise of these DES was unveiled through anticancer assays employing MCF-7 and HeLa cell lines. The outcomes were favorable, underscoring robust anticancer potency, thereby hinting at future oncological utility. These interdisciplinary endeavors envelop the progression of sustainable solvent innovation, meticulous physicochemical scrutiny, microbial analysis, and anticancer appraisal. This study propels inventive resolutions with ecological and biomedical reverberations by amalgamating these distinct yet interconnected facets. 2024 Indian Chemical Society