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Wall jet nanofluid flow with thermal energy and radiation in the presence of power-law
The effectiveness of jet flow in the energy transfer process has made it very useful in industrial applications. These flows also have higher heat transfer coefficients than traditional cooling through convection. The appliances inclusive of the jet make effective use of fluid and enhance the heat transfer rate. The contemporary article investigates the jet flow of power-law nanofluid past a moving wall. The nanofluid is formed by suspending Cu and Al2O3 nanoparticles in water. Furthermore, the jet flow is analyzed in the presence of radiation, which is further assumed to be linear, and the application of Rosseland approximation is considered to be valid. Considering these aspects, the model is designed using partial differential equations (PDE), which are then converted to a system of non-linear ordinary differential equations (ODE) by implementing certain similarity transformations. Thus, the obtained system is solved using numerical methods, and the results are discussed with the help of graphs. The significant conclusions of the analysis were that the increase in the radiation parameter contributed to the increase in the temperature of the nanofluid. The increase in the Prandtl number reported a decrease in the amount of heat absorbed by the nanofluid. 2023 Taylor & Francis Group, LLC. -
A study on Challenges of Indian Hospitality Industry and Remedies For Sustainability in the Ever Changing Market Scenario.
VOLUME NO. 3 (2013), ISSUE NO. 11 (NOVEMBER) ISSN: 231-1009 -
Culinary influence on Bengaluru as a tourism destination /
International Journal of Recent Technology And Engineering, Vol.8, Issue 4, pp.766-774, ISSN No: 2277-3878. -
Hotel manager's perspective of managerial competency among graduating students of hotel management programme /
International Journal Of Computer And Mathematical Science, Vol.3, Issue 5, pp.593-612, ISSN No: 2347-8527. -
Synergistic advancements in energy storage: g-C3N4/NiFe2O4/PANI composite with augmented electrochemical capabilities
This study examines the electrochemical behaviour of a hybrid composite material of graphitic carbon nitride/Nickel ferrite/Polyaniline (g-C3N4/NiFe2O4/PANI) synthesized by hydrothermal method, coupled with in-situ polymerisation. The ensuing g-C3N4/NiFe2O4/PANI composite demonstrates superior characteristics for energy storage applications. Through a comprehensive analysis, we elucidate the combined effects of the distinct components, revealing improved electrochemical properties. The composite exhibits improved galvanostatic charge/discharge exhibiting a specific capacitance of 770 Fg?1 at 1 Ag?1 current density. This research underscores the perspective of the g-C3N4/NiFe2O4/PANI composite as a promising candidate for advanced energy storage systems. 2024 Elsevier Ltd -
A Phased approach to solve the University Course Scheduling System
International Journal of Computational Engineering Research Vol.3, Issue 4, pp. 258-261, ISSN No. 2250-3005 -
A study on IT enabled crowd sourcing /
International Journal of Trend in Research and Development, Special Issue, pp.12-14, ISSN: 2394-9333. -
Populism and the question of sovereignty in democracy with special reference to India
The sovereign manner of decision-making in a democracy is reckoned extremely crucial to stable governance. It is unfortunate, therefore, if the question of sovereignty acquires public attention predominantly in the wake of totalitarianist tendencies. It is the case now that with the emergence of several populist voices and nationalist sentiments, contemporary democracies actively debate the question of democratic sovereignty. This article is a critique of the complacency arising out of what is often wrongly perceived as the reassurances of the letter, or for that matter the spirit, of the constitutions of liberal democracies. Regardless of whether populism is traced within the electoral context or outside of it, the question of sovereignty offers a vantage point for understanding it from a theoretical perspective. In this regard, the article utilises the insightful yet contrasting notions of democratic sovereignty put forward by the philosophers Giorgio Agamben and Jacques Derrida. They approach the question of sovereignty from historical and/or linguistic points of view, illuminating the notions of sharing, sovereign violence and its overarching theological underpinnings. The articles findings, purposes and effects are meant to be educational and cultural in the first place. It employs, for the purpose of exemplification, a commentary on the Indian democratic scene. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Tuning the electronic dimensionality and bandgap in Cs2AgBiX6 (X = Br, Cl) for photovoltaic applications: a DFT-1/2 study of cation disorder
Nontoxic, stable, and experimentally realized lead-free halide double perovskites, Cs2AgBiX6 (X = Br, Cl), attracted much attention for solar cell applications. However, their reduced electronic dimensionality and indirect (wide) bandgap, limiting solar energy absorption efficiency, are not mostly suitable. To address such issues, we employ the computationally efficient DFT-1/2 + SOC method to study the electronic structure of cation-ordered and cation-disordered materials comparatively. Our study explores the impact of cation disorder in tuning the electronic dimensionality, demonstrating how the disorder effect reduces bandgaps, increases solar energy absorption, enhances band dispersion, and decreases carrier effective masses for better photovoltaic performance. We observe an evolution of the electronic dimensionality in the disordered systems, influencing the carrier effective masses and absorption properties. Fractional (and non-integer) electronic dimensionality appears to be an essential concept in understanding the optoelectronic properties. The direct bandgap, high absorption in the desired energy range, and mostly lower effective masses of the disordered systems make them suitable for solar cell applications. 2024 The Royal Society of Chemistry. -
Exosomal mediated signal transduction through artificial microRNA (amiRNA): A potential target for inhibition of SARS-CoV-2
Exosome trans-membrane signals provide cellular communication between the cells through transport and/or receiving the signal by molecule, change the functional metabolism, and stimulate and/or inhibit receptor signal complexes. COVID19 genetic transformations are varied in different geographic positions, and single nucleotide polymorphic lineages were reported in the second waves due to the fast mutational rate and adaptation. Several vaccines were developed and in treatment practice, but effective control has yet to reach in cent presence. It was initially a narrow immune-modulating protein target. Controlling these diverse viral strains may inhibit their transuding mechanisms primarily to target RNA genes responsible for COVID19 transcription. Exosomal miRNAs are the main sources of transmembrane signals, and trans-located miRNAs can directly target COVID19 mRNA transcription. This review discussed targeted viral transcription by delivering the artificial miRNA (amiRNA) mediated exosomes in the infected cells and significant resources of exosome and their efficacy. 2022 The Authors -
Where to Check Homework? The Emphasis on Supportive Feedback via Social Media by Teachers in CALL and Its Consequences on EFL Learners' Self-assessment, Academic Success, Academic Enjoyment
This study investigates the impact of Facebook-mediated supportive feedback on English as a Foreign Language (EFL) learners' self-assessment, academic enjoyment, and academic success in a Computer-Assisted Language Learning (CALL) context. Using a sequential exploratory methodology, this study holistically investigates the research objectives using qualitative and quantitative approaches. Two intact classrooms of lower-intermediate EFL students in an Iraqi language institute were selected; one class was designated as the experimental group receiving Facebook-mediated tasks and the other as the control group using conventional teaching strategies. Among the tools for data collecting were a teacher-made test, semi-structured interviews, and observation. Compared to the control group, the experimental groupwhich received extra Facebook-mediated tasks and conventional course materialsshowcased notably greater degrees of self-assessment, academic enjoyment, and academic success. Positive perceptions of Facebook-mediated interactions were found through the qualitative analyses of observations and interviews, thereby stressing learners' higher motivation, collaboration, and sense of community. The implications of the study are discussed. 2024, The Pacific Association for Computer Assisted Language Learning (PacCALL). All rights reserved. -
The intermix of social media in propelling the social change /
Indian Journal Of Applied Research, Vol.4, Issue 7, pp.540-541, ISSN No: 2249-555X. -
Shifting mold of media technology and content with main thrust on Pandora's Box /
Journal Of Media and Social Development, Vol.2, Issue 1, pp.528-539, ISSN No: 2320-8244. -
Dharma as a binary identity
The idea of Dharma has different connotation in History from that of religion as is popularly understood. While it is accepted as righteousness, it transcends the notion that Dharma represents piety, spirituality, belief and nobility. On the contrary, History is replete with instances of how religion, an institutionalized aspect of Dharma, was constantly articulated as representing Authority, Power, Status and Hierarchy. Due to these interpretations Dharma often was projected as a tool for realization of the above by various institutions, be they, political, social, cultural or economic, and Dharma provided legitimacy and justified their identities. The present paper juxtaposes this articulation in the context of Ancient and Medieval India, spanning a period approximately from 3rd century BCE to 10th century CE. It argues that the different trajectories that flowed between Dharma and various other secular institutions constantly witnessed divergence as well as assimilation at various points of time. 2015 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bengaluru), ISSN: 0253-7222. -
SAARC Regional Disaster Law: Need for Progressive Development
[No abstract available] -
Physical fitness recommender framework for thyroid patients using restricted boltzmann machines
These days, people can easily acquire the information from online sources. Individuals are generally using recommendation services before buying products considering the availability of online. Recommendation systems propose the relevant services or products to users. But sometimes people face issues while retrieving health related information from the recommender systems. A focus on keeping people healthy is one way to address the serious societal concern of healthcare domain. A health-based physical recommender system suggests workout plans for users using their activity level and health condition. A personalized approach is the most effective solution for the fitnessbased recommender framework based on user's desired characteristics. This article presents a personalized fitness recommender system for thyroid patients. The proposed fitness recommender model integrates the user's data like personal and health profile, preferences, calorie intake, and activity level. The proposed hybrid model is built using Restricted Boltzmann Machines (RBM) integrating content based and matrix factorization techniques. The results of experiments prove that the proposed hybrid model outperforms than content based, pure RBM and matrix factorization recommendation techniques. The current proposal achieves the personalization approach by incorporating user's thyroid health condition and exercise preferences in recommendation process. The recommended result of hybrid RBM method is revised based on user's new preferences. 2020, Intelligent Network and Systems Society. -
Design of personalized diet and physical activities recommendation framework for hypothyroid patients
These days, hypothyroid disease is quickly growing among individuals. In India, one out of eight women experiences hypothyroid disorder because of iodine deficiency. It is necessary to maintain the thyroid hormone levels because it may lead to thyroid cancer. There is a need to consume an adequate amount of iodine intake and other nutrients required to balance thyroid hormones levels. So, patients should follow a customized daily diet and exercise plan to meet their nutritional needs. These recommendations help hypothyroid patients to enhance their metabolism and to adjust thyroid hormones levels. Most of the existing online systems usually provide diet recommendations in general forms. Such recommendations are insufficient for any patient suffering from a specific disease. This paper provides a personalized recommendation framework to provide appropriate diet plans and physical activities to patients. These recommendations are based on their clinical data and personal choices. Validation of recommendations can be made by combining both domains like human expertise and computer technologies. BEIESP. -
Goodness of fit test for Rayleigh distribution with censored observations
We develop new goodness of fit tests for Rayleigh distribution based on fixed point characterization. We use U-Statistic theory to derive the test statistics. First we develop a test for complete data and then discuss, how the right censored observations can be incorporated in the testing procedure. The asymptotic properties of the test statistic in both uncensored and censored cases are studied in detail. Extensive Monte Carlo simulation studies are carried out to validate the performance of the proposed tests. We illustrate the procedures using real data sets. We also provide, a goodness of fit test for the standard Rayleigh distribution based on jackknife empirical likelihood. 2023, Korean Statistical Society. -
Parental Involvement in School Counseling Services: Challenges and Experience of Counselor
School counselors include parents as informants in school counseling for various reasons like for consultation and clients intervention which could lead to a different experience. The objective of the present study was to explore the challenges faced by school counselors when involving parents in the school counseling process and the ways they handle the challenges. The participants consisted of seven school counselors, with whom in-depth interviews were conducted. The subjective experiences of the school counselors were objectively interpreted by the researcher using interpretative phenomenological analysis. The research results were categorized into master and subordinate themes using double hermeneutics. The results revealed that although school counselors have their own individual perceptions of challenges and methods of handling parental inclusion in the school counseling context, there still exist similarities in their methods of handling. The study highlights school counselors beliefs about parents perceptions and expectations of counseling as well as parents reaction toward their childs problem as a challenge. The findings throw light on the need for stronger evidence-based practices and policies for school counseling programs. Training and competence-building programs for school counselors would improve the service delivery. 2018, National Academy of Psychology (NAOP) India. -
Normalized group activations based feature extraction technique using heterogeneous data for Alzheimers disease classification
Several deep learning networks are developed to identify the complex atrophic patterns of Alzheimers disease (AD). Among various activation functions used in deep neural networks, the rectifier linear unit is the most used one. Even though these functions are analyzed individually, group activations and their interpretations are still not explored for neuroimaging analysis. In this study, a unique feature extraction technique based on normalized group activations that can be applied to both structural MRI and resting-state-fMRI (rs-fMRI) is proposed. This method is split into two phases: multi-trait condensed feature extraction networks and regional association networks. The initial phase involves extracting features from various brain regions using different multi-layered convolutional networks. Then, multiple regional association networks with normalized group activations for all the regional pairs are trained and the output of these networks is given as input to a classifier. To provide an unbiased estimate, an automated diagnosis system equipped with the proposed feature extraction is designed and analyzed on multi-cohort Alzheimers Disease Neuroimaging Initiative (ADNI) data to predict multi-stages of AD. This system is also trained/tested on heterogeneous features such as non-transformed features, curvelets, wavelets, shearlets, textures, and scattering operators. Baseline scans of 185 rs-fMRIs and 1442 MRIs from ADNI-1, ADNI-2, and ADNI-GO datasets are used for validation. For MCI (mild cognitive impairment) classifications, there is an increase of 14% in performance. The outcome demonstrates the good discriminatory behaviour of the proposed features and its efficiency on rs-fMRI time-series and MRI data to classify multiple stages of AD. 2024 Vaithianathan et al.