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A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus
In order to prevent the extraordinary spread of sickness caused by Flavivirus, the healthcare business as well as public health are working tirelessly. Individual lives have been affected, but mosquito-infested public locations have made a considerable influence on the general publics health. Site adaptability, climate change, and inadequate healthcare services and surveillance all contribute to the spread of the virus. The potential dangers of this virus, on the other hand, have been uncovered through extensive and ongoing research in the healthcare business. Modern healthcare facilities may benefit from the reasoning capabilities and ever-evolving analysis techniques provided by artificial intelligence. More conclusive findings have been demonstrated in the realm of AI applications in healthcare domains such as cancer, neurology, and cardiology. A number of research works have justified the use of AI-oriented algorithms for intelligently handling unstructured and huge healthcare data. When it comes to using artificial intelligence (AI) to identify, forecast, diagnose, and treat disease using data from public health and biological databases, the current effort aims to undertake an extensive examination. There may be issues in integrating assistive technology into the current healthcare system, as well. Because of this review, we hope that by merging AI research with clinical and public health specialists, critical knowledge may be extracted from data in order to unchain the relevant information of Flavivirus disease from its chains. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Effect of audiovisual aids and blended teaching on english performance and self-confidence of IX standard students in government schools of Manipur
For a productive teaching-learning process, proper planning and direction is required since the process in itself is the key to a person's progress and development. Accordingly, resources which aid in the teaching and learning process should be selected judiciously and in harmony with the concept in question. Audiovisual aids are sensory objects and images which stimulate and emphasize the learning process. The use of visual aid in teaching has the potential to increase "human bandwidth": the capacity to absorb, to comprehend, and to effectively synthesize the information into new knowledge. Blended teaching is a kind of e-learning which utilizes a scope of instruments and instructive guides to make a learning environment interactive synchronously or asynchronously and improves the learning procedure by offering projects and courses electronically by means of various mixed media specialized devices. The result indicates that there is an impact of the use of audiovisual aids and blended teaching in English performance and self-confidence of the students. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
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Influence of career re-entry enablers on job search outcomes: COVID strengthening the disparity virus?
Women in India when faced with the predicament of managing their homes and work, many a times are forced to take a break from their job. On completion of their personal responsibilities when they contemplate re-entering work, they face numerous hindrances. Covid has only raised additional concerns in their career landscape. In this context based on the social cognitive career theory that adopts human agency perspective we theorize that women are not mere bystanders but themselves contribute to their life outcomes through their self-efficacy and resultant job search efforts. Using the components in the SCCT model (Social cognitive career theory) of career self-management (CSM), data from 385 respondents was analysed using Exploratory Factor Analysis, Confirmatory Factor Analysis and Structure Equation Modeling. The study confirmed the direct and indirect relationship between self-efficacy in job search behaviour, outcome expectations, search goals, search actions and the final job search outcome measured through the number of offers received. Implications of this study to the managers, family and society are also discussed. 2021 Ecological Society of India. All rights reserved. -
Exploring the mediating role of job and life satisfaction between workfamily conflict, familywork conflict and turnover intention
Purpose: This study investigates the influence of work-to-family and family-to-work conflict on turnover intention (career break), mediated through job and life satisfaction among Indian women in the service sector, using role conflict theory as the base. Design/methodology/approach: A total of 421 usable responses from women who had taken a career break were collected using a 36-item scale from six major metro cities in India through social and digital media platforms. A purposive-cum-snowballing sampling method was adopted. The hypotheses were tested using structural equation modeling (SEM) through AMOS. Findings: Findings suggest that job satisfaction (JS) is a significant predictor of turnover intention, both when work spills into the family domain, and family responsibilities spill into the work domain, thereby confirming the mediating influence of JS. Interestingly, life satisfaction (LS) only seems to mediate between inter-domain conflict and turnover intention partially. Research limitations/implications: This is a descriptive study, and is thereby limited in terms of its generalizability, specifically as it included respondents only from six major metro cities in India. Practical implications: The extended work-family conflict model could help managers structure organizational interventions that support women to deal with the challenges of managing the demands of both work and family domains, thereby reducing the negative influence on JS. Such initiatives could help reduce career breaks among women. Originality/value: We explored the cause of career breaks among Indian urban women employed in the service sector, using the extended model of inter-role conflict and their attitudes towards both life and job. 2024, Emerald Publishing Limited. -
Influence of family-work conflict on career break decision among Indian women: when family ties, tie you down!
The study is an attempt to understand the influence of the constructs in the family domain on the career break decision of women employed in the service sector in India a country facing a conundrum of rising female literacy and falling workforce participation. This study proposes a model that explores the direct and indirect relationship between the antecedents of family-work conflict and intention to quit. Data from a sample of 346 women, who had experienced career-break in service sector, was collected through purposive sampling. The researchers probed the relationship between family-work-conflict and intention to quit and mediating influence of job and life satisfaction. Hypotheses were tested though structural equation modelling. Results confirmed that role-overload and gender-stereotyped beliefs were found to be the most significant constructs. Job satisfaction came across as having mediating effect. Stakeholders need to facilitate a path that permits her to continue to nurture her family without having to give up her dreams. 2024 Inderscience Enterprises Ltd. -
"On the same page, but in different books?" exploring pedagogical beliefs of various stakeholders in management education
The declining MBA enrolment numbers and campus placements are indicators of an alarming situation in India. The key stakeholders comprising of teachers, students, and corporates desire the same outcome, which is students with high employability. This implies everyone is on the same page, but the falling salary packages and rising unemployment make one wonder if this page is from a different book for each stakeholder? Through this study, we tried to bring in more clarity on the perception of the stakeholders in such B-schools regarding their choice of pedagogy to be employed. Drawing on the body of literature and peer group discussions, this study identified 15 pedagogical methods employed in higher education. Thus, to explore the preferred pedagogy, an exploratory research was designed and owing to the categorical nature of the data collected over a seven-month period, correspondence analysis was applied. Data analysis confirmed the existence of a huge perceptual gap amongst the stakeholders about the appropriate pedagogy to be used in management education. Student engagement and application based learning emerged as the two most important dimensions of pedagogy in this study. The results and findings can be extended further to understand causes for this perceptual gap and identify measures to bridge the same to ensure that these B - schools yield job ready students resulting in MBA regaining its lost glory. 2019, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Study of the personal factors influencing voluntary turnover amongst women
In a country where the economic and social independence of a woman is dependent on the way households are structured and organised, the rise in their education and decline in their workforce participation rate is an indication of their paradoxical situation. In this study we evaluate the direct effect of the factors in the personal domain of women on her career break decision. The data from 402 Indian women was analysed using Exploratory Factor Analysis and Confirmatory Factor Analysis, which was then followed by Structural Equation Modelling to check the conceptual model developed through literature review. In present study support personal predictors to turnover intention outcome model, confirming the influence of role conflict, role expectation, role perception, stress, financial soundness, role overload and guilt. Role perception and expectation of women were most significant factors influencing turnover intention of women, implying that the most important change needed is for a change in their own mindset and those around them to arrest their exit from the workforce. 2021 Ecological Society of India. All rights reserved. -
Determinants of consumer retention strategies for telecom service industry in Central India
The telecommunication industry has witnessed a tremendous growth in recent times in India. It has not only been limited to voice calls, but also integrated into every aspect of human life. This has resulted in the rapid rise of market players, offering innovative products and services. In this changing scenario, we have tried to design and check a model of various factors such as loyalty, satisfaction and switching barriers (customer relationship management, alternative attractiveness and switching cost) influencing consumer retention strategies in Indian telecom service industry. A structured and undisguised questionnaire and a convenient sampling method have been used to collect the data from respondents from three most populous cities (Indore, Bhopal, and Ujjain) of Central India. Around 450 questionnaires were distributed, out of which 318 usable responses were received for final analysis. The instrument was checked for validity and reliability before the data was analyzed. The hypotheses were tested through Structure Equation Modelling (SEM) for direct effect, and Multiple Moderating Regression Analysis (MMRA) for moderating effect. The results suggested that loyalty, satisfaction, switching barriers and customer relationship management are positively related and have a direct influence on consumer retention, but the relationship with alternative attractiveness has been found weak. Switching cost, as moderating variable, was found to be very effective and showed significant deviation in the relationship between independent and dependent variables. Vinod Sharma, Sunny Joseph, Jeanne Poulose, 2018 -
Data-Driven Decision Making
This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
An Analytical Study on the influence of using Trimmed Gait Energy Images for Human Gait Biometrics using Deep Learning
Gait based human recognition is founded on the principle that every human being has a distinctive style of walking. With the rise in the use of video surveillance devices, gait is one of the most convenient biometrics to use, in forensics. This paper is an analytical study of the effect of using trimmed Gait Energy Images (GEI) for Human Recognition using different deep learning techniques. Gait energy images are a spatiotemporal, silhouette-based representation of the human gait. GEIs from the CASIA B Multiview dataset was used to build two other sets of data by subtracting the upper body Deep learning and transfer learning techniques including Convolution Neural Networks (CNN) and VGG16 algorithms had been implemented to carry out the recognition. Results showed that the performance of the model using upper body images gives a greater accuracy than the lower body images. It has also been observed that the accuracy of recognition provided by the upper part of the body is almost the same as that achieved by the whole body, which brings forth the idea that the upper part of the body is the most pertinent in Human Identification using Gait as a biometric. 2022 IEEE. -
Structured text programming to visualize the distribution of packages on a conveyor
Automation is a process of increasing production and reducing the downtime of any industry. With the integration of sensor data to the cloud using an OPC-VA communication protocol, the automation becomes more prominent and interesting. However, many existing industrial controllers do not support open platform communication unified architecture (OPC-VA) and it needs an IIoT device to connect the cloud. The existing programmable logic controller in any industry have to be connected to an IIoT device through Ethernet. Sensors connected to the controller will transmit the data to the IIoT device. The transmission can also be bidirectional. In this paper, a conveyor which distributes packages is simulated in Codesys and it is visualized in a human-machine interface (HMI) screen which is in-built in the software. The hardware set-up is made with the industrial controller to execute the same. A methodology to send the data from the controller to the cloud using open platform communication unified architecture (OPC-UA) is proposed 2023 IEEE. -
Enhancing Disease Prediction in Healthcare: A Comparative Analysis of PSO and Extreme Learning Approach
The healthcare business generates a tremendous quantity of data, and the goal is to collect it and use it effectively for analysis, prediction, and treatment. The best approach to disease management is disease prevention through early intervention. There are a number of methods that can advise you on how to treat a specific sickness, but much fewer that can tell you with any degree of certainty if you will actually get sick in the first place. Preprocessing, feature selection, feature extraction, and model training are all parts of the proposed method. The suggested layout includes a preprocessing stage that takes care of things like moving average, missing values, and normalization. Feature selection describes the process of selecting the most relevant features from a dataset. After gathering features, the models are trained using PSO-ELM. The proposed strategy is superior to the widely used PSO and ELM. 2023 IEEE. -
The Optimization of Output of Wind Turbine with the Ongoing Grid System through BP Method Using ANN
Wind turbines are intricate devices that need careful planning, evaluation, and installation to guarantee peak performance under a range of environmental circumstances. Comprehensive load calculations, performance evaluations, and iterative optimisation processes are all part of the design process. However, complex simulation techniques are required to adequately depict the non-linear behaviour of wind turbine systems because of their complicated structure. Automation of optimisation processes and simulation executions is crucial to optimise the design process and manage the large number of simulations that are needed. This work provides a thorough framework using back propagation (BP) and artificial neural networks (ANN) for simulation and optimization that will make it easier to manage and automate the execution of iterative simulations during the design and development of wind turbines. The framework's main goals are to make design load case simulations easier and optimise activities more automatically. The framework makes it possible to optimise wind turbine systems and explore design options more effectively by automating these procedures. Three example optimisation jobs illustrate the framework's versatility and functionality. 2024 IEEE. -
Value co-creation through search efforts and customer involvement impacting purchase intention of smart phones /
International Journal of Recent Technology And Engineering, Vol.8, Issue 3, pp.3894-3902, ISSN No: 2277-3878. -
Exploring the far-reaching consequences of malnutrition during pregnancy and beyond: A comprehensive review
In India, maternal and infant malnutrition continues to be a significant contributor to health problems. Fetal malnutrition can result from an inadequate nutrient supply, necessary nutrition services, and ideal practices before, during, and following pregnancy. This comprehensive review delves into the complex relationships among hormone changes, microbial ecosystems, and nutrition, and how these relationships affect the health of mothers and their offspring. The review highlights how important it is to maintain good nutrition during pregnancy and to comprehend the dietary modifications that pregnant people make on their own to create interventions that work. Important minerals like calcium, iron, folic acid, iodine, and vitamin D are covered. Acknowledging the mutualistic association between the eating habits of mothers and the diverse microbiomes found in their gut, vagina, and oral channels, the review explores the influence on hormone levels and their consequences during gestation. Diverse fetal developmental needs are depicted by the table that outlines food requirements for each of the three trimesters. The detrimental effects of poor prenatal nutrition on a mothers health and its repercussions for neonates are examined. The effects of malnutrition after delivery, including difficulties throughout pregnancy, healing periods, and general effects on mental and physical health, are well studied. The study, which adopts a worldwide viewpoint, finds that societal norms, information gaps, and poverty are the main causes of malnutrition. Prevention techniques are discussed, emphasizing the significance of taking a comprehensive approach to addressing this vital issue in both the Indian and global contexts. 2024 Visagaa Publishing House. -
Perception vs. reality: Analysing the nexus between financial literacy and fintech adoption
Fintech has revolutionized the financial services sector, fundamentally transforming how individuals and businesses manage their finances. However, effective and responsible utilization of these innovative services may require a certain degree of financial competence. To explore this possibility, this study investigates the nexus between financial literacy and fintech usage in the Indian context, considering two distinct measures of financial literacy. Primary data were collected conveniently from 391 respondents through a cross-sectional survey. Probit regression was applied to analyze the relationship between the two dimensions of financial literacy and the adoption of fintech services across three segments: mobile banking, mobile payments, and digital lending. The findings reveal a positive relationship between individuals subjectively perceived financial literacy and their propensity to use all three fintech services. Conversely, objectively measured financial literacy demonstrates a positive association only with the likelihood of using mobile banking. The study also identifies demographic characteristics as contributing factors to variations in fintech adoption. The studys findings hold value for policymakers and fintech service providers, as they underscore the importance of enhancing individuals subjective perceptions of their financial abilities to promote wider adoption of fintech services. Shamli Prabhakaran, Mynavathi L., 2023. -
Synthesis, in vitro and theoretical studies on newly synthesized deep blue emitting 4-(p-methylphenylsulfonyl-5-aryl/alkyl)oxazole analogues for biological and optoelectronic applications
In the present study, a series of 4,5-di-substituted oxazole derivatives (compounds 2a-p) were synthesized, using a novel methodology for the simultaneous determination of their biological and optoelectronic applications. Among the screened molecules, compounds 2j, 2 l and 2o showed very good antimicrobial potencies with MICs up to 1 g/mL. Furthermore, the photophysical parameters were estimated using theoretical and experimental techniques for optoelectronic applications. The excited-state dipole moment being higher than that of the ground state, investigated using solvato-chromatic method showed a redistribution of the electron densities in the excited state for the fluorophores. The HOMO-LUMO energies of the fluorophores estimated by using density functional theory (DFT) are found to be in good agreement with the experimental values. The electrophilic and nucleophilic sites were also recognized with the help of molecular electrostatic potential 3D plots using time-dependent-DFT computational analysis. The specific and non-specific interactions between the solutesolvent were analyzed by multiple linear regression analysis using Kamlet-Abound-Taft and Catalan parameters. Further, the global chemical reactivity descriptor parameter was also calculated. The photophysical properties of the fluorophores suggest that these may be considered as potential probes for OLED, solar cell, and chemosensor applications. 2022 Elsevier B.V. -
Lead-free inorganic metal perovskites beyond photovoltaics: Photon, charged particles and neutron shielding applications
Over the last few years, lead-free inorganic metal perovskites have gained impressive ground in empowering satellites in space exploration owing to their material stability and performance evolution under extreme space environments. The present work has examined the versatility of eight such perovskites as space radiation shielding materials by computing their photon, charged particles and neutron interaction parameters. Photon interaction parameters were calculated for a wide energy range using PAGEX software. The ranges of heavy charged particles (H, He, C, N, O, Ne, Mg, Si and Fe ions) in these perovskites were estimated using SRIM software in the energy range 1 keV10 GeV, and that of electrons was computed using ESTAR NIST software in the energy range 0.01 MeV1 GeV. Further, the macroscopic fast neutron removal cross-sections were also calculated to estimate the neutron shielding efficiencies. The examined shielding parameters of the perovskites varied depending on the radiation type and energy. Among the selected perovskites, Cs2TiI6 and Ba2AgIO6 displayed superior photon attenuation properties. A 3.5 cm thick Ba2AgIO6-based shield could reduce the incident radiation intensity to half its initial value, a thickness even lesser than that of Pb-glass. Besides, CsSnBr3 and La0.8Ca0.2Ni0.5Ti0.5O3 displayed the highest and lowest range values, respectively, for all heavy charged particles. Ba2AgIO6 showed electron stopping power (on par with Kovar) better than that of other examined materials. Interestingly, La0.8Ca0.2Ni0.5Ti0.5O3 demonstrated neutron removal cross-section values greater than that of standard neutron shielding materials - aluminium and polyethylene. On the whole, the present study not only demonstrates the employment prospects of eco-friendly perovskites for shielding space radiations but also suggests future prospects for research in this direction. 2022 Korean Nuclear Society