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Implication of emotional labor, cognitive flexibility, and relational energy among cabin crew: A review
The primary aim of the civil aviation industry is to provide a secured and comfortable service to their customers and clients. This review concentrates on the cabin crew members, who are the frontline employees of the aviation industry and are salaried to smile. The objective of this review article is to analyze the variables of emotional labor, cognitive flexibility, and relational energy using the biopsychosocial model and identify organizational implications among cabin crew. Online databases such as EBSCOhost, JSTOR, Springerlink, and PubMed were used to gather articles for the review. The authors analyzed 17 articles from 2001 to 2016 and presented a comprehensive review. The review presented an integrative approach and suggested a hypothetical model that can prove to be a signitficant contribution to the avaition industry in particular and to research findings of aviation psychology. 2018 Indian Journal of Occupational and Environmental Medicine | Published by Wolters Kluwer-Medknow. -
Artificial Intelligence Influence on Leadership Styles in Human Resource Management for Employee Engagement
In this work, we investigate how the revolutionary effects of AI on leadership styles in the field of human resource management (HRM) have impacted employee motivation. To investigate the intricate relationship between AI adoption, HR management, and employee morale, we use a mixed-method approach, combining quantitative survey data with qualitative interview results. Both Leadership Style Change (LS-Change) and Employee Engagement (EE) show a statistically significant positive correlation with AI adoption. In the new AI-enabled HRM environment, HR executives are shifting their methods of leadership, adopting more flexible styles, giving workers more autonomy, and improving lines of communication. This research links theory and practice by providing actionable advice to HR managers and business owners. In order to further develop the topic of AI-enhanced HRM, future studies should investigate longitudinal dynamics, cross-industry variances, cultural and ethical issues, cutting-edge AI applications, and employee perspectives. 2024 IEEE. -
Deep Learning Enabled Parent Involvement and Its Influence on Student Academic Achievement Analysis
Studying the substantial effect that Deep Learning Enabled Parent Involvement (DLEPI) has on kid academic success. Using a made-up data set and a neural network model, we find that parents' level of involvement, as measured by the Parental Involvement Score (PIS), is positively correlated with their children's academic performance. DLEPI, driven by cutting-edge deep learning algorithms, equips parents with unique insights and suggestions regardless of where they live, therefore promoting educational equality and diversity. This study underlines the potential of technology to reduce performance inequalities and highlights its central role in increasing parental participation. Critical elements for future study include ethical issues, real-world validation, effect evaluations over time, and chances for personalization. This research lays the groundwork for reinventing education in a future where DLEPI improves student outcomes and offers a more inclusive and personalized educational environment. 2024 IEEE. -
The Impact of Computer-Mediated Communication on Relationships and Social Interactions
Computer-mediated communication (CMC) has profoundly changed how we express or connect in the modern world. Various virtual platforms, like Instagram, WhatsApp, and online games, have transformed how we communicate, and there is an overlap between the virtual and the physical world. This reflective study uses a comprehensive literature synthesis to examine the transforming nature of CMC on relationships and socialization patterns. The findings emphasize the importance of a holistic approach to understanding technology in interpersonal communication. Through this study, we attempt to mitigate the potential harms of excessive internet use through digital literacy, reflecting on online interactions and mindfulness in using the medium, especially for school-age children. The main takeaway from this reflective research is that when using technology for communication, one should practice equality and fairness across the board. Both the real and virtual worlds operate on the same principles of similarity and social exchange to create relationships, even though these theories are based on traditional offline relationships. 2024 Taylor & Francis Group, LLC. -
Correlated variability of the reflection fraction with the X-ray flux and spectral index for Mrk 478
The X-ray spectrum of Mrk 478 is known to be dominated by a strong soft excess that can be described using relativistic blurred reflection. Using observations from XMM-Newton, AstroSat, and Swift, we show that for the long-term (?years) and intermediate-term (days to months) variability, the reflection fraction is anticorrelated with the flux and spectral index, which implies that the variability is due to the hard X-ray producing corona moving closer to and further from the black hole. Using flux-resolved spectroscopy of the XMM-Newton data, we show that the reflection fraction has the same behaviour with flux and index on short time-scales of hours. The results indicate that both the long- and short-term variability of the source is determined by the same physical mechanism of strong gravitational light bending causing enhanced reflection and low flux as the corona moves closer to the black hole. 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. -
A Search for X-Ray/UV Correlation in the Reflection-dominated Seyfert 1 Galaxy Markarian 1044
Correlated variability between coronal X-rays and disk optical/UV photons provides a very useful diagnostic of the interplay between the different regions around an active galactic nucleus (AGN) and how they interact. AGNs that reveal strong X-ray reflection in their spectra should normally exhibit optical/UV to X-ray correlation consistent with reprocessingwhereas the optical/UV emission lags behind the X-rays. While such correlated delay has been seen in some sources, it has been absent in others. Mrk 1044 is one such source that has been known to reveal strong X-ray reflection in its spectra. In our analysis of three long XMM-Newton and several Swift observations of the source, we found no strong evidence for correlation between its UV and X-ray lightcurves both on short and long timescales. Among other plausible causes for the nondetection, we posit that higher X-ray variability rather than UV and strong general relativistic effects close to the black hole may also be responsible. We also present results from the spectral analysis based on XMM-Newton and NuSTAR observations, which show the strong soft X-ray excess and iron K? line in the 0.3-50 keV spectrum that can be described by relativistic reflection. 2023. The Author(s). Published by the American Astronomical Society. -
Classification of Multiclass DDOS Attack Detection Using Bayesian Weighted Random Forest Optimized With Gazelle Optimization Algorithm
The increase in Distributed Denial of Service (DDoS) attacks poses a considerable threat to the security and stability of the current network, especially in Internet of Things (IoT) and cloud environments. Traditional detection methods often struggle with the inability to achieve a balance between detection accuracy and computational efficiency. In this manuscript, the Classification of Multiclass DDOS Attack Detection using Bayesian Weighted Random Forest Optimized with Gazelle Optimization Algorithm (DDOS-AD-BWRF-GOA) is proposed. First, the raw data is gathered from the CICDDoS2019 dataset. Then, input data are preprocessed utilizing Adaptive Bitonic Filtering for normalizing the values. The preprocessed data are fed to the Improved Feed Forward Long Short-Term Memory technique for selecting features that increase the model's execution time. The selected features are supplied to the Bayesian Weighted Random Forest (BWRF), which classifies the multiclass DDOS attack. In general, Bayesian Weighted Random Forest does not adopt any optimization methods to define optimal parameters to guarantee exact DDOS identification. Hence, GOA is proposed to optimize the Bayesian Weighted Random Forest classifier. The proposed method is implemented in MATLAB. The performance metrics, such as Accuracy, Precision, Recall, F1-score, Specificity, Error rate, and Computational time are evaluated. The proposed method attains 15.34%, 24.1%, and 18.9% higher accuracy and 12.4%, 18.24%, and 22.6% higher precision when analyzed with existing techniques: Hybrid deep learning method for DDOS detection and classification (HDL-DDOS-DC), Edge-HetIoT Defense against DDoS attack utilizing learning techniques (EHD-DDOS-LT), and Digital twin-enabled intelligent DDOS detection for autonomous core networks (DTI-DDOS-ACN), respectively. 2025 John Wiley & Sons Ltd. -
A critical review of determinants of financial innovation in global perspective
Financial innovation is the widely accepted process across the globe. 'What forces drive the financial innovation?' is the research question since long. Many studies were conducted in the past to answer and each study identified some or other factors that prominently driving financial innovation landscape in their respective economy. The present study critically review existing Literatures to suggest a comprehensive list of determinants. The study uses descriptive research design. A sample of 54 literatures focusing on financial innovation and it's determinants during the time period 1983 to 2018 is included in the study. Further, content analysis and descriptive statistics are used to explore the determinants. The study identified 23 different determinants of financial innovation and classify those under two bases. First, on the basis of influencing power and second on the basis of nature of the determinant. The study found that technological development, competition, firm size and regulations are the major sources of financial innovation from different categories. The study also raised the research agenda to study determinants of financial innovation in Asian context, as there are scanty literature covering Asian economies. 2021 Elsevier Ltd. All rights reserved. -
Detecting Infectious Disease Based on Social Media Data Using BERT Model
Seasonal diseases are those diseases that are widespread during a particular time of the year including monsoons, winter etc. In the absence of preventative measures, the human race remains vulnerable to the hazardous effects of seasonal diseases following regular patterns of increased inci- dence and transmission which remains a global concern. Dengue, Influenza, etc. are such types of diseases where every year many people get affected globally. The primary focus of this research paper is to understand the opinion of people regarding the seasonal diseases. The research paper covers sentiment analysis on textual data from social media where people have vocalized their sentiments or thinking regarding seasonal diseases and seasonal infectious diseases. Influenza, Dengue, Malaria, Japanese Encephalitis, and Chikungunya are the seasonal diseases that have been covered in this research paper. To achieve this, the language model Bidirectional Encoder Representations from Transformers (BERT) was used to verify the sentiments about the seasonal diseases. The result of the investigation hold the potential to significantly enhance our comprehension of societal sentiments, discerning between states of tranquility and concern among individuals. The outcome of the study will help healthcare department to plan the necessary actions. 2024 IEEE. -
RPA Revolution in the Healthcare Industry During COVID-19
Over the last year, the evolution in Robotic Process Automation (RPA) has been staggering. The automation it brings to applications has yielded efficiency, reduced operating costs, and decreased the time of research, development, and production. Industries have already integrated RPA into their workflow and are profoundly transforming into an intelligent automated industry with minimum human intervention, calling this the fourth industrial revolution. In this race of transformation, the healthcare industry is quite ahead of many other industries. It stood the test of time when COVID-19 was spreading rapidly and was also resilient against all odds. The system did experience an unprecedented crisis that depicted its weakness, fragility, and unpreparedness. The healthcare system was forced to adapt to a new paradigm. And though there was the loss of life and economy, we learned to evolve as a community to tackle this crisis. This chapter sheds light on the role of RPA and covers how these technologies can assist healthcare workers in their day-to-today activities, reviewing what the fourth industrial revolution would look like in the healthcare sector. The intelligent, automated system would provide a seamless experience of gathering information by various means, processing, and assisting healthcare workers to deliver quality treatment. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Comparing maritime piracy along the coasts of Africa: In search of a solution for the Gulf of Guinea
Merchant ships at sea have been under threat for centuries from criminal activities such as maritime piracy and armed robbery. Such acts have seen a rise in recent years, with new breeding grounds mushrooming across the globe. In Africa, such criminal activities are as old as maritime trade, with three severely affected regions, each with its own dynamics. While piracy on the eastern coast (Gulf of Aden) has been brought under control by international maritime forces and that on the south-eastern coast (Mozambique Channel) by local maritime forces, piracy on the western side (Gulf of Guinea) continues unabated and has become a matter of concern for the world's maritime fraternity. In an effort to find a solution for piracy in the Gulf of Guinea, this article aims to compare and analyse incidents of piracy along the coasts of Africa and understand whether the countermeasures adopted on the eastern coasts can be replicated on the western one. 2020 National Maritime Foundation. -
Blue ocean marketing- A promising strategy /
Vol. 7 No. 1 (2013) ISSN: 2278-5612 -
Compact Polarization Insensitive Triple-Band Bandstop Frequency Selective Surface forTerahertz Applications
In this article, a compact triple-band bandstop frequency selective surface (FSS) is designed for terahertz applications. The proposed FSS is a single-layer structure. The unit cell consists of cross-dipoles featuring three distinct arms. The designed FSS offers three bandstop responses centered at 0.34, 0.39, and 0.43 THz with 10-dB stopband bandwidths of 12, 5, and 14GHz, respectively. The filter operation is elucidated using surface current densities and an equivalent circuit model. The unit cell exhibits a surface area of 0.374?00.374?0, where ?0 is free space wavelength at lower resonance frequency. The proposed FSS exhibits excellent stability in incidence angles up to 40? and 80? for TE and TM polarization, respectively. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Design ofSIRW-Based Self-diplexing Slot Antenna withLow Cross-Polarization Level forMillimeter-Wave Applications
This article presents a miniaturized self-diplexing slot antenna utilizing a substrate-integrated rectangular waveguide (SIRW) for millimeter-wave applications. The proposed antenna is built using a rectangular cavity, a slot on the top conductor, and two microstrip-feed lines. The rectangular cavity is realized for operation at TE110 mode (26.5GHz), which is perturbed for radiation at two distinct frequency bands by loading a slot on the top conductor. Two microstrip-feed lines are employed for excitation of the slot, which generates two operating bands. For better understanding of radiation phenomena, the electric field distribution, equivalent circuit model, and parametric analysis are provided. To further validate the proposed design, a millimeter-wave self-diplexing antenna operating at 22 and 28GHz is built and full-wave simulated. The proposed antenna occupies a smaller footprint area of 0.396?g2 with an isolation greater than 20 dB. Additionally, the suggested antenna offers low cross-polarization level better than ?30 dB. The realized gain and efficiency of the proposed antenna at lower (upper) frequency bands are 5.5 dBi (5.4 dBi) and 90.6% (94%), respectively. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Understanding the determinants of financial and digital inclusion vulnerability among rural women in Odisha
Purpose This study aims to examine the degree of financial and digital inclusion vulnerability among rural women in Odisha and the factors contributing to financial and digital inclusion vulnerability. Design/methodology/approach To achieve this objective, the study gathers 400 samples from two districts in Odisha: Jagatsinghpur and Jharsuguda. Applying the Standardized Composite Index method, the study constructs two distinct indexes: the Financial Inclusion Vulnerability Index (FIVI) and the Digital Inclusion Vulnerability Index (DIVI) among the rural women of Odisha. The study further uses a multinomial logit regression model to examine how various social, economic and demographic factors influence rural women's vulnerability to financial and digital inclusion. Findings The findings specify that the financial inclusion vulnerability index for rural women is significantly lower than the digital financial vulnerability index. The regression results reveal that factors such as younger women, Scheduled Castes women, having primary education and larger family sizes increase the likelihood of financial inclusion vulnerability. Likewise, concerning DIVI, factors such as older women, women from Scheduled Castes, marital status, primary level of education and larger family sizes heighten the likelihood of digital inclusion vulnerability. Originality/value It investigates the extent of vulnerability related to both financial and digital inclusion among these women and examines the factors influencing this vulnerability in rural Odisha. Emerald Publishing Limited -
Financial Inclusion and Human Development in Indian States: Evidence from the Post-Liberalisation Periods
This article examines the existing synergy between financial inclusion and human development in Indian states during the post-liberalisation periods (19932015). Using both principal component analysis and panel data regression models, first, the impact of financial inclusion on human development is measured. Second, the reverse causality from human development to financial inclusion is estimated to know whether human development should be a pre-condition for ensuring greater financial inclusiveness in Indian states. It is found that financial inclusion has a positive and statistically significant impact on human development, along with other control variables such as social sector expenditure, per capita state gross domestic product and capital receipt. However, the lack of urbanisation (measured by the percentage of rural population) has a negative and significant impact on the process of human development in Indian states. On the other hand, since human development has also a significant reverse causal connection with financial inclusion, it is argued that ensuring financial inclusion through urbanisation measures would not only improve the level of human development in Indian states, but it would also sustain the process of inclusive development in itself due to the existing feedback loop with the later. 2022 Institute for Human Development. -
Does financial inclusion control corruption in upper-middle and lower-middle income countries?
Presence of corruption in a system is always a path breaker for transparent distribution of public services in the economy. Therefore, controlling corruption is a high priority for progress of a countrys growth. The main objective of this study was to empirically examine the impacts of financial inclusion on control of corruption in selected upper-middle and lower-middle income countries. Using cross-country annual data from 2004 to 2018, the study applied fixed effect, random effect, panel corrected standard errors, feasible general least square and 2SLS (two-stage least-squares regression) models to evaluate the impacts of financial inclusion on control of corruption across all samples from upper-middle and lower-middle income countries. The results from the upper-middle income (UMI) countries demonstrated that a basic level of financial inclusion has no impact on the control of corruption, whereas higher intensification of financial inclusion beyond the basic level positively impacts it. Similarly, the findings from lower-middle-income (LMI) countries indicated that financial inclusion up to a certain threshold level helps to control corruption, whereas financial inclusion above the threshold level negatively impacts the control of corruption. These empirical findings suggest that in the overall sample, financial inclusion plays an important role to control corruption. 2022, The Japan Section of the Regional Science Association International. -
Exploration of the dual fuel combustion mode on a direct injection diesel engine powered with hydrogen as gaseous fuel in port injection and diesel-diethyl ether blend as liquid fuel
The present study explores the possibilities of the use of diesel-diethyl ether (DDEE) blends as pilot fuel, and hydrogen (H2) as inducted gaseous fuel in a diesel engine operated on dual fuel mode (DFM). DEE was added to diesel in ratios of 525% in increasing steps of 5%, to prepare the DDEE5, DDEE10, DDEE15, DDEE20, and DDEE25 blends that were used as pilot fuel. In this current study, for hydrogen gas generation, a hydrogen production kit was fabricated which was powered by solar energy. The hydrogen gas was produced from the electrolysis of water-KOH solution. During the experiment, hydrogen was inducted through the engine intake port employing an electronic gas injector. The quantity of hydrogen injection was set constant of 0.2 lpm for all the test cases. DDEE-hydrogen (DDEE+H2) blends accomplished overall good results compared to diesel. DDEE20+H2 furnished optimal results compared to diesel and other DDEE+H2 blends. Peak cylinder pressure for DDEE20+H2 was 66.91 bar at 5.2oCA aTDC, and the maximum HRR was 32.75 J/deg.CA. Compared to diesel, the BTE of engine for DDEE20+H2 was augmented by about 0.6% and the BSFC was diminished by about 3.7%, at maximum load conditions. A decline in CO and HC emissions of 29.6%, and 35% were observed for DDEE20+H2 at maximum load condition, but the NO and CO2 emanation was observed to be higher by around 29.4%, and 17.4% in comparison to diesel respectively. 2023 Hydrogen Energy Publications LLC -
Effect of a surface polarized layer on the optical properties of a nematic cell
The optical properties of a cell of nematic liquid crystal presenting a tilted surface polarization submitted to an electric field are theoretically investigated. The origin of the surface polarization is assumed to be related to the interaction of the nematic molecules with the substrate and to the polar order due to the cell filling procedure. The analysis shows that the coupling of the surface polarization with the external field has different effects on the two surfaces limiting the sample. On one of them, the coupling gives rise, in an unbounded sample, to a continuous variation of the easy angle, whereas on the other one it is responsible for a first-order like transition of the easy axis orientation. For a sample of finite thickness our analysis shows that in the presence of a coupling between the two surfaces, operated by the elastic properties of the liquid crystal, the abrupt variation of the easy axis on one of the surfaces induces also on the other surface a discontinuity on the nematic surface orientation. The optical transmission of the cell versus the amplitude of the applied voltage, for an impinging monochromatic linearly polarized light, presents a discontinuity for the critical voltage at which the first-order transition of the surface tilt angles appears. 2023 Elsevier B.V. -
Psychological science and COVID-19: An agenda for social action.
This report summarizes what is known about the psychological impact of the COVID-19 pandemic and proposes ways for psychology organizations to engage in addressing pandemic-related challenges. A stress and coping framework is used to describe key factors that account for mental health difficulties resulting from the stress of pandemics including the pandemic course, political leadership and public response, cumulative stressors, risk and protective factors, and coping strategies. Psychology organizations could do much to provide help particularly to vulnerable healthcare and frontline workers, the elderly, and the socially isolated. They could offer clinical services and design prevention programs, train non-professional community workers to provide mental health first aid, assist NGOs and political leaders, and translate basic research on psychological factors that influence acceptance of public health measures. The pandemic occurs at a time of advanced connectivity that provides an opportunity for (a) scientific information exchange, (b) alleviation of distress of social isolation, but also (c) infodemic, unprecedented spread of hoaxes and online incitements to non-compliance with preventative measures. Psychologys role is not limited to addressing mental health needs but also includes promoting adjustment to changes in the economy, education and employment, and developing effective communication strategies that encourage acceptance of public health measures. (PsycInfo Database Record (c) 2021 APA, all rights reserved) 2021 Global Alliance for Behavioral Health and Social Justice