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Multifaceted Destination Personality Traits: A Short Communication on Understanding from Tourists Perspective
This short communication is an extract from a major research work on destination branding, and this cull out of analysis focused on the multifaceted destination personality traits that the destinations possess and perhaps how such perceptions of tourists differ based on the selected personal factors. Though there are many studies in the destination branding literature, the evidence regarding the personality traits is still at the stage of progression, and approaches referring to multifaceted personality traits are unseen. After the pilot testing, a structured questionnaire was floated to 400 tourists who visited the selected destinations a district in Tamil Nadu, India, between June 2019 and February 2020, where 327 responses were finalized. The questionnaire had statements measuring the destinations personality traits and other questions on tourists characteristics. Combined mean calculation and multivariate results revealed that two personality traits, welcoming and friendly, were emphasized by the tourists and perceived in common. Also, personality traits such as spiritual and charming were found to be commonly perceived. The mean values also indicated the existence of multifaceted destination personality traits some inherent and some perceived. Marketers and others thereof have been recommended on the branding and advertising strategies based on the outcome of this communication. The limitations and scope of this research have been indicated. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
NLP-based Health Care- Hospital Recommendation Systems with Online Text Reviews by Patients Satisfaction
Recent times, these recommendations based on reviews play a vital role in the service industry. The hospital is assessing its quality of service using these surveys or studies posted in online forums. The ongoing pandemic also played a vital role in making the online review more popular. These statistical data and visualization are informative in representing the views of patient satisfaction towards health service. As the size of data is large and it is of varied size and format it is difficult to get consolidated results. The users share their emotions and feelings through this review. So, it is a challenge to assess the emotions of the patients. Sentiment analysis using machine learning makes our work easy in evaluating the scores visually. The reviews are analyzed using natural language processing (NLP), and the sentiment of the studies is analysed as positive, negative, and neutral using polarity ranking, which in turn is converted as the recommendation system based on patient reviews. This paper aims to propose a new method of recommending the hospital based on the sentiment of the previous user review. The thought of the user is collected from the various hospitals. The proposed (Healthcare Recommendation System) HRS system has nearly 0.5 mean absolute error, which states that the proposed HRS system is significantly effective. 2023 IEEE. -
Healthcare performance optimization
Healthcare systems worldwide are in huge pressure to enhance their performances for the rising demands to manage quality care, costs, and resource utilization efficiently. This research focuses on exploring Healthcare Performance Optimization. Specifically, it deals with efficiency in operations, patients, and resources. Strategic alignment is achieved through appropriate use of Key Performance Indicators (KPIs) in healthcare institutions. It's, therefore, an emerging approach integrating DEA and ML that helps address inefficiencies, predict outcomes, and create an opportunity for continuous improvement in the delivery of healthcare. The CCR and BCC-DEA models help determine technical and pure technical efficiency among healthcare providers. Simultaneously, Moreover, this research also focuses on sustainable healthcare and its role in the fight against climate change, resource depletion, and health disparities. Sustainable practices ensure that health care is accessible equitably while conserving resources and environmental integrity. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Fostering student engagement and empathy: The role of service learning in promoting mental health awareness and human rights advocacy
The chapter highlights the potential of integrating service learning into mental health and human rights curricula. It emphasizes the transformative impact of service learning in fostering student engagement, empathy, and social responsibility by blending theoretical frameworks, historical context, and practical models. Service learning emerges as a powerful tool for promoting positive change within communities and encouraging student activism on mental health and human rights issues. Advocating for ongoing exploration and implementation of service learning initiatives is crucial despite India's delayed implementation of the Mental Healthcare Act of 2017. Harnessing service learning's potential is essential for effectively addressing these critical issues. 2024, IGI Global. All rights reserved. -
Leading and learning in inhospitable terrain
This chapter explores the obstacles that minority women in K-12 education leadership must overcome, emphasizing the critical importance of acknowledging barriers and prejudices. Notwithstanding its underrepresentation, their leadership demonstrates a steadfast dedication to diversity and offers distinctive viewpoints. Mentorship programs, educational institutions, and policymakers all play a crucial role in promoting diversity via inclusive practices and supportive policies. The recommendations include fostering an environment of inclusiveness, providing training on diversity, implementing precise career trajectories, and acknowledging and commemorating the accomplishments of a wide range of individuals. Collaborative endeavours and inclusive approaches aim to establish educational leadership that is fair, diverse, and student-focused. Addressing inequalities is critical to establishing inclusive and resilient educational environments where mental health should be regarded as a fundamental right, highlighting the convergence of mental health and human rights. 2024, IGI Global. All rights reserved. -
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Network Based Detection of IoT Attack Using AIS-IDS Model
In recent days Internet of Things attained more familiarity. Although it is a promising technology, it tends to lead to a variety of security issues. Conventional methods such as IoT ecosystem based solutions were not suitable to give dilemmas to the system. A new system model called adaptive and intelligent Artificial Immune System (AIS) imitates the process of human being an immune system that consists of eligible properties of this varying environment. Therefore, it enhanced IoT security. Conventionally classifiers such as Random Forest Classifier, Recurrent Neural Network and K-nearest neighbours are used to classify the signals as normal or abnormal and predict malicious attacks. But unfortunately, these classifiers generated a high false alarm rate. Thus, a framework with maximum accuracy and minimum false alarm rate was required. In this work, the AIS model adopts the benefits of the Hopfield Neural Network (HNN) for classification. HNN classifier has a fixed weight, as it cannot be changed for its backpropagation property. This work optimally selects the fixed weight using Fast- Particle Swarm Optimization (F-PSO) and helps to enhance the accuracy of the HNN classifier. This classifier model then differentiates IoT attacks with a high detection rate and normal signal. Three datasets are taken to execute the proposed model and define its accuracy. The proposed Artificial Immune system using HNN for Intrusion Detection System (AIS-IDS) model exhibits 99.8% accuracy for the first dataset and minimum error value. The false alarm rate was minimized using danger theory and its high activation function; thus, the false alarm rate was minimized by up to 8% more than previous classifiers. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Magnetization induced skyrmion dynamics of a spin-orbit-coupled spinor condensate under sinusoidally varying magnetic field
We explore the spin texture dynamics of a harmonically trapped spin-1 BoseEinstein condensate with Rashba spinorbit coupling and ferromagnetic spin-exchange interactions under a sinusoidally varying magnetic field along the x-direction. This interplay yields an intrinsic spin texture in the ground state, forming a linear chain of alternating skyrmions at the saddle points of the magnetic field. Our study analyzes the spin-mixing dynamics for both a freely evolving and a controlled longitudinal magnetization. The spin-1 system exhibits the Einsteinde Haas effect for the first case, for which an exchange between the total orbital angular momentum and the spin angular momentum is observed, resulting in minimal oscillations about the initial position of the skyrmion chain. However, for the fixed magnetization dynamics, the skyrmion chain exhibits ample angular oscillations about the equilibrium position, with the temporary formation of new skyrmions to facilitate the oscillatory motion. For the case of fixed magnetization, this contrast now stems from the exchange between the canonical and spin-dependent contribution to the orbital angular momentum. The variation in canonical angular momentum is linked to the angular oscillations, while the spin-dependent angular momentum accounts for the creation or annihilation of skyrmions. We confirm the presence of scissors mode excitations in the spin texture due to the angular skyrmion oscillations. 2025 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. -
Nanoparticle aggregation kinematics on the quadratic convective magnetohydrodynamic flow of nanomaterial past an inclined flat plate with sensitivity analysis
The study focuses on the aggregation kinematics in the quadratic convective magneto-hydrodynamics of ethylene glycol-titania ((Formula presented.)) nanofluid flowing through an inclined flat plate. The modified Krieger-Dougherty and Maxwell-Bruggeman models are used for the effective viscosity and thermal conductivity to account for the aggregation aspect. The effects of an exponential space-dependent heat source and thermal radiation are incorporated. The impact of pertinent parameters on the heat transfer coefficient is explored by using the Response Surface Methodology and Sensitivity Analysis. The effects of several parameters on the skin friction and heat transfer coefficient at the plate are displayed via surface graphs. The velocity and thermal profiles are compared for two physical scenarios: flow over a vertical plate and flow over an inclined plate. The nonlinear problem is solved using the RungeKutta-based shooting technique. It was found that the velocity profile significantly decreased as the inclination of the plate increased on the other hand the temperature profile improved. The heat transfer coefficient decreased due to the increase in the Hartmann number. The exponential heat source has a decreasing effect on the heat flux and the angle of inclination is more sensitive to the heat transfer coefficient than other variables. Further, when radiation is incremented, the sensitivity of the heat flux toward the inclination angle augments at the rate 0.5094% and the sensitivity toward the exponential heat source augments at the rate 0.0925%. In addition, 41.1388% decrement in wall shear stress is observed when the plate inclination is incremented from (Formula presented.) to (Formula presented.). IMechE 2021. -
Numerical study of Reiner-Rivlin nanoliquid flow due to a rotating disk with Joule heating and non-uniform heat source using Bulirsch-Stoer algorithm
The flow of a Reiner-Rivlin hydromagnetic nanoliquid due to rotating disk in the presence of Joule heating and a non-uniform heat source is investigated. To control the volume fraction of nanoparticles on the surface of a disk, a realistic passive control strategy is used, taking the thermal jump condition into account. Nonlinear governing differential equations are solved numerically using the Bulirsch-Stoer technique and a parametric analysis is performed using graphical representations. Using the Response Surface Methodology (RSM), the interaction effects of the influential parameters on the rate of heat transfer are visualized via three-dimensional surface graphs and contours. Further, the optimum rate of the heat transfer is estimated through the RSM analysis. It is found that the surface drag demotes due to enhancement in the cross-viscosity coefficient. A rise in the space-dependent heat source augments the temperature profile. The heat transfer rate is negatively influenced by the Eckert number. Further, when thermal slip is augmented, the sensitivity of the heat transfer towards the Hartmann number decreases at the rate of 0.2267%, and the sensitivity towards the Reiner-Rivlin fluid parameter decrements at the rate of 0.0554%. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Reiner-Rivlin nanomaterial heat transfer over a rotating disk with distinct heat source and multiple slip effects
The thermodynamic features of the Reiner-Rivlin nanoliquid flow induced by a spinning disk are analyzed numerically. The non-homogeneous two-phase nanofluid model is considered to analyze the effect of nanoparticles on the thermodynamics of the Reiner-Rivlin nanomaterial, which also includes a temperature-dependent heat source (THS) and an exponential space-dependent heat source (ESHS). Further, the transfer of heat and mass is analyzed with velocity slip, volume fraction jump, and temperature jump boundary conditions. The finite difference method-based routine is used to solve the complicated differential equations formed after using the von-Karman similarity technique. Limiting cases of the present problem are found to be in good agreement with benchmarking studies. The relationship of the pertinent parameters with the heat and mass transport is scrutinized using correlation, which is further evaluated based on the probable error estimates. Multivariable models are fitted for the friction factor at the disk and heat transport, which accurately predict the dependent variables. The Reiner-Rivlin nanoliquid temperature is influenced comparatively more by the ESHS than by the THS. The Nusselt number is decreased by the ESHS and THS, whereas the friction factor at the disk is predominantly decremented by the wall roughness aspect. The increment in the non-Newtonian characteristic of the liquid leads more fluid to drain away in the radial direction far from the disk compared with the fluid nearby the disk in the presence of the centrifugal force during rotation. The increased thermal and volume fraction slip lowers the nanoliquid temperature and nanoparticle volume fraction profiles. 2021, Shanghai University. -
The economic impact of floods on the plantation sector: a study of selected districts in Kerala
The people of Kerala have suffered the worst natural calamity in the form of heavy flood in 2018 and this continued for a week. The flood and the landslide had created a havoc in the agricultural sector of Kerala. The worst affected sector in the vagary of nature was the plantation sector. The industry lost around Rs. 3.382 crore due to heavy floods (CDS). The floods and the landslide had a major impact on the major planation crops including rubber, tea, coffee and cardamom. Among the different districts, Wayanad was the worst affected district along with Kottayam and Pathanamthitta. In the given context, this study is an attempt to analyse the economic impact of floods in the plantation sector in Kerala. The study found that the farmers are facing the worst financial crisis due to low price and high cost of production. The major problems faced by farmers are the inadequacy of assistance, reduction in yield and lack of pure water, delay in getting support, repayment of the loan and so on. 2023, World Research Association. All rights reserved. -
Smart Certificates Using Blockchain: A Review
When making job offers, it is usual practice for businesses to check applicants academic credentials. The organization that issued the certificate must authenticate it for the employer to ensure that it is genuine. Because of the lengthy process involved in certificate verification, the selection process takes longer overall while establishing the legitimacy of a certificate. To address this issue, blockchain provides a verified distributed ledger along with a cryptography mechanism to thwart academic credential counterfeiting. The Blockchain also provides a standardized platform for document access, storage, and verification that takes the least amount of time. The review of the methodologies and performance of the same has been covered in the paper. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Detection of DoS Attacks Using Machine Learning Based Intrusion Detection System
Conventional intrusion detection systems are not always sufficient due to the increasing sophistication and frequency of Denial-of-Service (DoS) attacks. This work presents a novel solution to this problem by leveraging machine learning techniques to increase the precision and efficacy of real-time intrusion detection. The system keeps a careful eye on network traffic patterns, looking for any irregularities that would point to a denial-of-service attack. An Intrusion Detection System (IDS) that utilizes machine learning technologies - specifically, neural networks and support vector machines - allows for real-time adaptation to new attack patterns. A combination of rigorous simulations and real-world testing provides empirical support for the IDS's quick detection and mitigation of DoS threats. This initiative makes a major contribution to the development of cybersecurity defenses. 2024 IEEE. -
Slow Violence in Vikram Chandras Sacred Games: An Ecocritical Reading
This article gives insight into the ways in which enforcement and institutional vigilante activities portrayed in Vikram Chandras Sacred Games foreshadow the urban thicket of garbage dump yards and slum dwellings. The text will be analyzed from an ecocritical perspective to establish aspects of slow violence and its explicit and implicit results. Chandras plotline, regarding several entangled human tragedies against the background of refuse, urges a study of the novel through the lens of waste studies. However, he fails to address the reasons for the characters opinion of Mumbai being uninhabitable and infamous for treating human life as expendable. The novelist also seems to normalize the issues of inequalities in waste management and justifies the anthropocentric utilitarian perception of resources. The depictions of Mumbai gang wars against a disturbingly overlooked state of dilapidated lives and misplaced ideologies mention waste as being both created and ignored. Such representation also compels a close reading of consumerism and criminal aspiration. 2023, University of Zadar. All rights reserved. -
A Comparative Analysis of Blockchain and Large Language Models in Enhancing Telehealth Data Security
Healthcare is rapidly moving toward utilizing technologies that enhance the delivery, management, and security of healthcare. Telehealth has greatly streamlined access to medical care, especially in managing chronic diseases. The rapid development of IoT devices and digital health records posed critical challenges in data security and privacy, among other operational issues. A centralized system is vulnerable to breaches, and therefore, there is a need for more robust and decentralized solutions. There are risks involved in the current centralized system and a new stronger decentralized system is required. The blockchain has a way of providing safe, immutable ledgers with which health data can be managed; however, its static security measures need to be improved in the context of the kind of risks and at- tacks that may appear these days. This research looks to introduce Large Language Models into blockchain-based telehealth systems. LLMs enhance blockchain security through real- time detection of threats, anomalous behavior, and optimized execution of smart contracts as LLMs contain advanced processing and pattern recognition. This system combines both the merits of blockchains decentralized architecture and the intelligent analytics of LLMs to bring a dynamic and scalable framework of telehealth security, which enhances data privacy, operational transparency, and system resilience. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Econometric investigation of sectoral contributions to remittance inflows in Kerala using the VECM framework
The sustained outmigration from Kerala has significantly contributed to the surge in remittance inflows, which have become a critical driver of the states economic advancement. As India maintains its position as the worlds largest recipient of remittances, Kerala remains one of the most prominent subnational beneficiaries. Although remittances have historically played a pivotal role in shaping Keralas developmental trajectory, there is a growing imperative to channel these financial inflows into productive investments across various sectors of the economy. Within this context, an undisturbed system analysis identifies agriculture, industry, and services as key sectors potentially influenced by remittance flows. The present study utilises the Vector Error Correction Model (VECM) framework to investigate the sector-specific contributions to Keralas remittance-induced economic growth. This econometric approach facilitates an examination of both the long-term equilibrium relationships and short-term adjustments among the variables. The empirical findings highlight the differentiated impact of each sector, with particular emphasis on the significant role played by the agricultural and industrial sectors in attracting and sustaining remittance flows. The Author(s) 2026. -
The Impact of International Remittances on Public Debt Sustainability in Kerala: Evidence from the FMOLS Approach
Remittances from Keralas migrant workers and professionals constitute a vital financial inflow, surpassing their relative significance in most other Indian states. With public debt nearing 60 % of NSDP, these transfers offer a potential buffer for debt sustainability. Applying Oates theory within Bohns debt-sustainability framework using an FMOLS model, and validated through Johansen testing, this study examines the remittancedebt nexus from 1980 to 2023. FMOLS results indicate a deterioration of debt sustainability despite substantial remittance inflows. The findings emphasize the need to reduce market borrowings, enhance the fiscal role of remittances, and promote policies supporting formal transfer channels, source diversification, remittance-linked investment, and financial literacy among migrant households to strengthen Keralas long-term fiscal resilience and enable more productive use of remittances. 2025 the author(s), published by De Gruyter. -
Marketing of malayalam films through new media /
The research studies the marketing strategies used by Malayalam films through New Media. In this research new media includes Facebook, Twitter, YouTube, Whatsapp and instagram. For the past four years there is a new shift in the marketing of Malayalam films. More and more film makers are depending on new media for the marketing of Malayalam films. Through this research the researcher studies the current trends in the new media marketing of Malayalam films. -
Performance improvement of triple band truncated spiked triangular patch antenna
In this paper, the design of a novel triple band triangular microstrip patch antenna with inset feed is proposed. The triangular patch is designed for a resonant frequency of 2 GHz. The inset feed is placed at a depth of 1/3rd of height from the bottom of the patch for improved return loss. The insertion of two slots and two tabs causes the antenna to resonate at multiple frequencies. The proposed antenna resonates at three frequencies: 1.939 GHz, 2.515 GHz and 3.212 GHz. The truncation of the edges of the patch and the tabs improves the gain and directivity of the antenna. 2016 IEEE.