bluuebunny/crossref_metadata_2025 huggingface dataset:
ELEMENTOS PARA UMA TEORIA DO DISCURSO
Authors: VIANA Nildo.
Published: March 2024

O presente texto aborda o problema do discurso. O objetivo é esboçar uma nova teoria do discurso. Por se tratar de um esboço e não de uma teoria acabada, apresentamos alguns elementos para o desenvolvimento de uma teoria do discurso. O pressuposto dessa nova teoria é o método dialético. Através desse método e seus procedimentos, especialmente o uso da categoria totalidade, torna-se possível uma análise crítica das abordagens do discurso e a constituição de uma nova teoria do discurso. O primeiro elemento para se constituir tal teoria é a elaboração de um conceito de discurso. A partir da constatação de que as várias definições de discurso são limitadas e problemáticas, apresentamos uma nova definição, que é o desenvolvimento e ampliação de uma definição anterior apresentada por nós em outra obra. Definimos discurso como uma relação social na qual um autor apresenta, sob forma falada ou escrita, um conjunto de enunciados que expressa uma mensagem complexa sobre algo e para algum destinatário. Essa definição é uma síntese do conceito, que desenvolvemos no decorrer do texto. O passo seguinte foi aprofundar a discussão sobre o discurso concebendo-o como totalidade e, para tanto, analisamos os seus elementos constitutivos. Assim, abordamos os signos, enunciados, proposições e argumentos, bem como a questão da estrutura, conjuntura, tema e outros que formam os elementos constitutivos de um discurso. O último elemento abordado para fundamentar uma nova teoria do discurso é a questão de sua constituição social. Esse aspecto é bastante discutido em outras abordagens, mas aqui ele é apresentado sob forma diferente, abordando a questão da autoria, da motivação, da função, entre outras. Em síntese, esse foi o trajeto no qual apresentamos os elementos básicos para o desenvolvimento de uma teoria do discurso.
MARCAS DE AFRICANIAS NA CHAPADA DIAMANTINA: O JIRO DO REIS E A FESTA DE SÃO SEBASTIÃO DA COMUNIDADE NEGRA RURAL DO MULUNGU
Authors: Rosa De Jesus Maria Eunice
Published: March 2024

O Jiro do Reis e a festa em louvor a São Sebastião constitui-se o lugar dereunir, congregar muitas pessoas as quais estão em constante movimento quando rezam,dançam e cantam no espaço sagrado da casa, afirmando a identidade de um grupo, umacomunidade. Assim, busquei compreender o Jiro do Reis e a festa em louvor a SãoSebastião como uma prática cultural que reestabelece o encontro e a fé, reforçando opertencimento a uma religião quando os sujeitos se unem para celebrar a vida e osSantos. Com isso, a pesquisa Etnográfica foi a minha escolha metodológica, uma vezque parece ser o caminho que melhor traduz a rotina diária e os eventos especiais osquais nos levam a uma compreensão das redes de significações do real entre asfestividades, as crenças, os modos de viver que são partilhados pelo sujeito e com seugrupo social. A partir desta pesquisa, espero contribuir para o reconhecimento eimportância que as manifestações religiosas têm para as comunidades negras rurais,bem como a participação das mulheres como guardiãs de saberes locais indispensáveisna formação sociocultural do lugar, pois as Mulheres do Mulungu, representando asmulheres negras nas suas diferentes atribuições cotidianas as quais fizeram parte douniverso desta pesquisa, quando donas do próprio discurso, elas se revelam pelos laçosde parentesco e de solidariedade. Além disso, elas se identificam pelo fortecompromisso que têm com a comunidade, preocupadas em manter viva e atuante asmarcas da cultura de um povo vivenciadas e transmitidas através de suas festividades
AMIZADE, TEMPO E MEMÓRIA: NARRATIVAS HUMANIZADAS DE VALTER HUGO MÃE
Authors: Rocha Filho Ulysses
Published: March 2024

O fio condutor de toda a obra de Hugo Mãe é sua busca por uma humanidade essencial concatenando a voz poderosa do narrador com os fatos memorialísticos que, invariavelmente, abarca gerações. a chamada pós-modernidade se faz presente na apresentação e no enredo tanto perene quanto contemporâneo. A chamada "tetralogia" de Hugo Mãe, da literatura portuguesa, tem muito a dialogar com as necessidades psicológicas do homem neste século XXI. Assim, partiremos de uma sistemática reflexiva sobre a amizade, o tempo e a memória para compreendermos os desdobramentos advindos de relatos múltiplos que as narrativas híbridas se tornam, dessa forma, espelhadas. O tema da fraternidade, literalmente a amizade entre pessoas que se doam ao semelhante, presente nos romances de Valter Hugo Mãe (nascido em Angola, 1971), com conotações épicas, pontua sua obra romanesca de forma bastante peculiar, senão inovadora. A começar pela inserção de uma escrita integralmente em letras minúsculas, com a intenção do leitor enxergar a literatura como liberdade completa de pensamento. Depois, as especificidades dos narradores díspares, a intertextualização entre seus romances com autoria do velho mundo ou a desconstrução de pressupostos de Sartre ou da teoria do chamado pós-modernismo e/ou da modernidade líquida devem ser abalizadas à luz de leituras das obras de Umberto Eco, Fredric Jameson ou Edward Said, dentre outros.
A HAPLOLOGIA EM PROGRAMAS DE RÁDIO E TV EM BELO HORIZONTE
Authors: EVANGELISTA Priscila Soares
Published: March 2024

Esta pesquisa aborda o fenômeno da haplologia e sua ocorrência na mídia falada em Belo Horizonte, MG. A haplologia é um fenômeno de natureza fonológica, que consiste na eliminação da última sílaba átona de uma palavra, ou da vogal desta sílaba, quando seguida de sílaba átona inicial de outra palavra. Os dados analisados foram coletados através de gravações em áudio de programas de rádio e TV, tais como: Rádio Band News FM Belo Horizonte, Os Donos da Bola e Brasil das Gerais, pertencentes às categorias informação e entretenimento. A partir da análise dos dados, verificou-se que alguns gêneros de programa são mais propícios a realização do fenômeno do que outros. Os gêneros Variedades e Esportivo por apresentarem um formato mais dinâmico tendem a usar fala mais espontânea, o que favorece a realização da haplologia. Já o gênero jornalístico (radiofônico), por apresentar notícia a ser ouvida apenas uma vez, tem a tendência de utilizar um discurso claro, uma fala mais policiada e lenta, o que inibe consideravelmente a realização do fenômeno. Logo, a categoria informação foi a que menos apresentou haplologia.
UM MÉTODO DE PESQUISA E ANÁLISE DA VARIAÇÃO E MUDANÇA LINGUÍSTICAS EM GRAMMATICAS DA LINGUA PORTUGUEZA
Authors: Moraes Jorge Viana de
Published: March 2024

Este trabalho tem por objetivo apresentar proposta metodológica de investigação na interface entre a História das Ideias Linguísticas e a Linguística Histórica. Nosso pressuposto é que, partindo de um corpus de 132 gramáticas, publicadas no período de mais de 500 anos (gramáticas portuguesas, brasileiras e do português como língua estrangeira), é possível investigar o fenômeno da mudança linguística em curso, a partir do que entendemos por línguas gramaticais (AUROUX 1998 apud LEITE 2009a), isto é, da evolução linguística por uma sucessão de gramáticas; gramáticas, no sentido proposto por Auroux enquanto instrumentos linguísticos (AUROUX 1992, 1998). Para fins de exemplificação, examinamos três gramáticas pertencentes ao referido corpus, das quais extraímos importantes informações linguísticas de uso, a fim de ilustrar a produtividade do método proposto. Quanto à metodologia propriamente dita, elegemos duas vertentes investigativas de significativa importância para a extração de dados que indiquem tanto a variação quanto a mudança em curso, presentes e registradas nas e pelas gramáticas. Essas se dão pelas linguagens registradas nas gramáticas, que podem ser vistas quer pelo 1. discurso do gramático (estatuto dos exemplos, sua sintaxe, seu estilo, seu levantamento lexicográfico e ou uso lexical, etc.), quer pela 2. Investigação da metalinguagem utilizada pelo gramático e/ou sua atitude linguística (HALLIDAY et al. (1974), sua descrição linguística [fonética/ortográfica; lexical; descrição morfossintática]; sua descrição e análise dos chamados Solecismos e Barbarismos. Como se poderá avaliar pelos resultados, ainda que ilustrativos e incipientes, tal metodologia pela análise da linguagem gramatical revela não poucos fenômenos de interesse para o linguista histórico.
Materials used in pulpotomy: an overview
Authors:   Department of Restorative Dental Science, College of Dentistry, Taibah University, Madinah Munawara, Saudi Arabia, Mirah Mahir
Published: March 2024

A pulpotomy is a dental method that can be used on both children and adults. Tooth decay can lead to an infection wherein the pulp inside the tooth gets affected. In such cases, a pulpotomy is performed, wherein the pulp present in the crown (the visible part of the tooth) is extracted while the pulp in the root canal is retained. Devitalization, preservation, and regeneration have been the three main directions that pulpotomy therapy for primary teeth has taken. Formocresol and electrocautery are examples of devitalization (mummification, cauterization), which is when vital tissue is intended to be destroyed. Treatment with glutaraldehyde and ferric sulphate is an example of preservation (minimum devitalization, noninductive), which is the retention of the most vital tissue without inducing reparative dentin. Calcium hydroxide has long been linked to regeneration (inductive, reparative), the activation of a dent in bridge. In the upcoming years, regeneration is anticipated to grow the fastest of the three categories.
Improve Solutions of Differential Transform Method for Jeffrey Hamel Magneto-hydrodynamic Non-Newtonian Casson Fluid Flow Problem
Authors: Ahmed Rasheed Khlefha  , Abeer Majeed Jasim
Published: March 2024

In this article, Magneto-hydrodynamic flow of a non-Newtonian Casson fluid in converging and diverging channels subject to stretching -shrinking cases is an important problem in the field of fluid flow that has been highlighted by the combination of the differential transformation method and the optimal method so-called optimal differential transformation method (ODTM). In this synthesis that is used achieves improved analytical results for this problem. This study examines the impact of several developing characteristics, including channel angle, stretching-shrinking parameter, Casson fluid parameter, Hartmann number, and Reynolds number with the velocity profiles. Results obtained from the DTM and the numerical method BVP4c are compared to those resulting from ODTM which consist of the collocation differential transform method (CDTM), the sub-domain differential transform method (SDTM), the least squares differential transform method (LSDTM), and the Galerkin differential transform method (GDTM). The comparison shows that the percentage errors of the optimal methods (ODTM) are more accurate than those of the DTM for a similar number of parts of the repeated series over a wide range of physical parameters. Finally, it can be said that the results of the proposed method for third-order nonlinear Jeffrey Hamel flow in the non-Newtonian Casson fluid problem are high accuracy.
A Numerical Study to Improve the Efficiency of Solar Collector used for water heating using Phase Change Material
Authors: Hazim A. Al-Zurfi  , Muna Ali Talib  , Qasim H. Hassan  , Ghaith J. Aljabri
Published: March 2024

Solar water heaters are an effective technology for harnessing renewable solar energy to provide hot water for households and businesses. However, their efficiency can be impacted by factors like intermittent sunshine, heat losses, and low radiation intensity. The aim of this study is to increase the efficiency of solar water heaters through the use of phase change materials (PCMs). PCMs have the ability to store latent heat during phase change, releasing it later when needed. This study uses numerical simulations to analyze the effect of integrating different PCMs into a flat plate solar collector design. The findings could then be validated experimentally and applied to improve the real-world performance of solar water heating systems. The PCMs are placed inside the collector to absorb heat during the day and release it after sunset to continue heating the water. The research seeks to determine the optimal PCM properties, structure, and placement within the collector to maximize heat storage and transfer. The efficiency and performance of the solar collector system with different PCM configurations have been compared to those of a conventional collector without PCM. The outcomes uncover that the use of suitable PCMs can significantly improve the efficiency and heat output of the solar collector, especially during periods of low radiation and after sunset. The optimal PCM configuration maintains higher water temperatures for longer, allowing solar water heating to continue into the evening. The results may provide valuable insights for using PCMs to boost the efficiency of solar thermal technologies
Bi-directional Forced Convective Stagnation Points Flow of Oldroyd-B Liquid with Joule Heating Effects: A Finite Difference Simulations
Authors: Bilal Ahmed
Published: March 2024

The impact of Joule heating for the three-dimensional stagnation point flow of non-Newtonian liquid (namely Oldroyd-B) nanomaterial has been inspected. The influence of mixed convection and the magnetic force is also considered. The flow is induced by the bidirectional stretched surface which moves linearly. The partial differential equations for the developed model are altered into dimensionless statements first. The numerical simulations with the implementation of a finite difference scheme are used for the numerical description. The physical description of parameters is presented against the flow parameters. The results reveal that there is a reverse change in velocity observed for both the relaxation time constant and the retardation constant. Furthermore, the heat transfer rate decreases as the ratio parameter increases. The thickness of the boundary layer increases due to the retardation time and can also be regulated by the application of a magnetic field. An increase in the magnetic parameter leads to an enhancement in temperature and an increase in thermal boundary layer thickness.
Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
Authors: Mostafa Radwan Behery
Published: March 2024

The development of renewable and clean energy has become more crucial to societies due to the increasing energy demand and fast depletion of fossil fuels. A state-of-the-art design for an augmented wind turbine has been introduced in the past years to increase the efficiency of compact horizontal axis wind turbines, exceeding the ideal Betz’s limit of the maximum energy captured from the wind. The optimization of the flanged diffuser - so-called diffuser augmented wind turbine DAWT - is investigated numerically using the multi-objective genetic algorithm “MOGA”. A 2D computational model is developed using ICEM CFD and solved by ANSYS Fluent. The Turbulence model selected is shear stress transport K-omega, with a pressure-based solver and a coupled algorithm scheme. The optimization objectives are to maximize the velocity ratio at the shroud throat and minimize shroud form dimensions. 517 design points were solved, and the design dimensions were categorized into four types: compact, small, medium, and large design. The results showed that the diffuser dimensions are the main parameters to increase velocity inside the shroud throat, where a long diffuser with a low converging angle drags more air inside the shroud, reaching in some cases more than double the upwind velocity. While the nozzle and flange are also effective in the different design types. It was found that a super long diffuser with a length ratio of 2.9 LD to throat diameter D is optimal with a diverging angle of 7.6˚, accompanied by a nozzle of ratio 1.2 LN/D and 12.6˚ converging angle and a flange length ratio of 0.6 LF/D. This optimal design increased the velocity ratio by almost 2.5 times.
KAJIAN EKSPERIMENTAL PENGARUH CAMPURAN ETANOL DAN PERTAMAX TERHADAP KONSUMSI BAHAN BAKAR MOTOR INJEKSI 125CC
Authors: Rauf Wawan
Published: March 2024

Abstract: Experimental Study of the Effect of a Mixture of Ethanol and Pertamax on Fuel Consumption of a 125cc Injection Motorcycle. Currently the need for petroleum is quite high. This is because transportation and industry still rely on petroleum as the main fuel. Ethanol has similar properties to Pertamax fuel which can be applied to every vehicle, especially two-wheeled vehicles. The aim of this research is to find out how the addition of ethanol to Pertamax fuel affects the amount of fuel consumed by injection motorbikes. The mixture percentages that will be tested are E10+P90, E20+P80, and E30+P70 respectively, and then the consumption results are compared with tests using pure Pertamax (E0+P100). The test results show that the use of Ethanol-Pertamax mixed fuel can be reduced when the percentage of the ethanol mixture is below 50%. Where the lowest fuel consumption is the E30+P70 mixture at 16.4% compared to pure Pertamax consumption.
Ethnodoxological Reflection on the Choral Arrangement ‘Zamina Mina Yeako Aba’: The Arranger’s Perspective
Authors: Essilfie George Mensah
Published: March 2024

This article examined the choral arrangement Zamina Mina Yeako Aba from an ethnodoxological perspective, drawing on an original music video, Zamina Mina Waka Waka, by the Zangalewa Band from Cameroon. Positioned as a composer, The researcher contextualized the choral arrangement against the historical and migration-related background of the Makossa ensemble. The study offered valuable insights into the choral arrangement of Zamina Mina Yeako Aba by exploring its linguistic and cultural origins. This article employed ethnomusicological and ethnodoxological approaches to scrutinize the choral arrangement, specifically focusing on the latter and exploring its cultural and spiritual aspects. This study examined the choral arrangement within its cultural setting, considering elements such as performance practices, compositional devices, cultural perspectives, and conversations with native Cameroonians and Ghanaians. Ethnodoxology, an interdisciplinary field, examines how various cultures articulate their worship through artistic mediums, particularly music in this instance. The article argued for fuller inclusion of Zamina Mina Yeako Aba and similar choral arrangements in global Christian worship and highlighted their inherent biblical themes. The significance of these arrangements extends beyond their musical qualities and highlights their role in preserving cultural heritage, promoting unity, and contributing to the broader landscape of global Christian music. This study showed how the seamless fusion of Western and African musical elements creates a synergistic effect. Through ethnodoxological insights into the choral arrangement, it reveals the deep connection between spirituality, tradition, and music in cross-cultural music-making.

Keywords: Ethnodoxology, Ethnomusicology, Zamina Mina, Makossa Ensemble, Cross-cultural Music Making, Cultural Heritage.
Implementation and verification of direct infinite elements in axisymmetric problems
Authors: Bakhtaoui Yacine , Chelghoum Abdelkrim
Published: March 2024

In the field of dynamic soil-structure interaction, the simulation of geotechnical massifs under non-vanishing time-averaged loads is often challenging, depending on factors such as load variations, the 3D model representation and the chosen model boundaries. This study aims to evaluate the effectiveness of the method developed recently by the authors under non-vanishing time-averaged loads. The evaluation involves comparing the results of a homogeneous axisymmetric model at two control points and the simulation of an axisymmetric bilayer. The aim is to demonstrate the robustness of the method in contrast to widely used dissipative devices in scenarios involving sudden loading. Using an implicit integration scheme in the time domain, the method is shown to be effective and correlations with reliable solutions and comparisons with common dissipative devices for sudden-load models are presented. This analysis leads to the conclusion that the proposed procedure adeptly addresses the challenges associated with the simulation of geotechnical masses under non-vanishing time-averaged loads.
Effect of lime on the stabilization of an expansive clay soil in Algeria
Authors: Driss Abdelmoumen Aala Eddine , Harichane Khelifa , Ghrici Mohamed
Published: March 2024

This paper presents the influence of lime addition on the geotechnical properties of an expansive Algerian clayey soil. The studied soil was classified as a fat clay (CH) with high plasticity according to the unified soil classification system (USCS). 2, 4 and 6% lime was added to the clay soil in order to studied their effect on the physical and mechanical properties of the studied soil. The pH variation, consistency limits, compaction, swell, unconfined compressive strength, mineralogical and microstructural analysis are particularly investigated. For the purpose of studying the effect of curing time on soil strength, treated specimens were cured for 1, 7 and 28 days. Tests results indicate that the pH of the studied soil was significantly increased after their treatment with lime, which indicates the beginning of chemical reactions between lime and clay soil. After lime treatment the studied soil become more friable and easier to work with a higher unconfined compressive strength (UCS) due to the flocculation of the soil structure and the production of new cementation products such as CSH and CAH
On the stability analysis of numerical schemes for solving non-linear polynomials arises in engineering problems
Authors: Shams Mudassir , Kausar Nasreen , Araci Serkan , Kong Liang
Published: March 2024

This study shows the link between computer science and applied mathematics. It conducts a dynamics investigation of new root solvers using computer tools and develops a new family of single-step simple root-finding methods. The convergence order of the proposed family of iterative methods is two, according to the convergence analysis carried out using symbolic computation in the computer algebra system CAS-Maple 18. Without further evaluations of a given nonlinear function and its derivatives, a very rapid convergence rate is achieved, demonstrating the remarkable computing efficiency of the novel technique. To determine the simple roots of nonlinear equations, this paper discusses the dynamic analysis of one-parameter families using symbolic computation, computer animation, and multi-precision arithmetic. To choose the best parametric value used in iterative schemes, it implements the parametric and dynamical plane technique using CAS-MATLAB$ ^{@}R2011b. $ The dynamic evaluation of the methods is also presented utilizing basins of attraction to analyze their convergence behavior. Aside from visualizing iterative processes, this method illustrates not only iterative processes but also gives useful information regarding the convergence of the numerical scheme based on initial guessed values. Some nonlinear problems that arise in science and engineering are used to demonstrate the performance and efficiency of the newly developed method compared to the existing method in the literature.
Stochastic comparisons of second-order statistics from dependent and heterogeneous modified proportional (reversed) hazard rates scale models
Authors: Lu Bin
Published: March 2024

In this paper, we investigate the problem of stochastically comparing the second-order statistics from dependent and heterogeneous samples following modified proportional hazard rates scale (MPHRS) and modified proportional reversed hazard rates scale (MPRHRS) models under Archimedean copula. We built some sufficient conditions for the usual stochastic order whenever the samples have different parameter vectors. Finally, some numerical examples were provided to illustrate the theoretical results.
Human Activity Recognition Using Convolutional Autoencoder and Advanced Preprocessing
Authors: Zaoui Chaimae , Benabbou Faouzia , Ettaoufik Abdelaziz , Sabiri Khadija
Published: March 2024

E-health systems rely on information and communication technology to support and improve various aspects of health services, delivery, and management. The success of artificial intelligence techniques has led to the emergence of a variety of systems designed to address a wide range of healthcare issues. In particular, gathering data on patient activity and behavior has enabled the development of reliable predictive systems for detecting chronic diseases and forecasting their progression. Human activity detection is a vast and emerging field, and various datasets have been collected for training different machine learning and deep learning (DL) models. The University of Milano Bicocca smartphone-based human activity recognition (UniMiB-SHAR) dataset is widely used for analyzing and recognizing human actions, including walking, running, and other daily activities. However, the autoencoder (AE) technique trained on this dataset yields poor performance. This paper aims to enhance the performance of AEs on the challenging UniMiB-SHAR dataset by introducing a convolutional AE model and employing novel preprocessing techniques, including normalization, magnitude, principal component analysis (PCA), and balancing methods such as SMOTEEN and ADASYNE. The experimental results demonstrate that the proposed AE model achieved successful performance, surpassing the state-of-the-art methods, with accuracies of 96.56% for activities of daily living (ADL), 98.86% for Fall, and 88.47% for the full dataset.
Enhancing Classification Performance through FeatureBoostThyro: A Comparative Study of Machine Learning Algorithms and Feature Selection
Authors: Bhende Deepali Omprakash , Sakarkar Gopal , Khandar Punam , Uparkar Satyajit S , Bhave Arvind
Published: March 2024

Early-stage prediction of a disease is an important and challenging task. The application of machine learning techniques is playing an important role in this era. Thyroid is one of the chronic endocrine diseases, and approximately 42 million people in India are affected by this disease. This paper presents a comprehensive investigation into the enhancement of classification performance through the novel ‘FeatureBoostThyro’ (FBT) model. The study evaluates various machine learning algorithms, including stochastic gradient descent (SGD), K nearest neighbor (KNN), logistic regression (LR), naive bayes (NB), and support vector machine (SVM), in conjunction with diverse feature selection methods. The research systematically explores the impact of feature selection techniques such as information gain, relief F, chi-square, gini index, forward selection, backward selection, recursive feature elimination, and LASSO on model performance across the chosen algorithms. The analysis reveals notable variations in performance metrics, including accuracy, precision, recall, and F1-score, providing valuable insights into the interplay between algorithm and feature selection. One main contribution of this research is the introduction of the FBT model, which consistently outperforms other models across various feature selection methods, making it a promising tool for addressing complex classification tasks. The findings contribute to a broader understanding of model selection and optimization in machine learning applications. The proposed model undergoes evaluation using two distinct datasets: the primary dataset acquired from Lata Mangeshkar Hospital in Nagpur and the secondary dataset obtained from the UCI dataset.
Aux origines de la revue Syria : à propos de trois lettres de Joseph Chamonard
Authors: al-Maqdissi Michel
Published: March 2024

Résumé –  Cet article donne une présentation sommaire de trois lettres rédigées en 1920 par Joseph Chamonard pendant sa présence à la tête du Service de l’archéologie et des beaux-arts. Ces documents conservés aux Archives du Louvre (DAO) mettent en lumière plusieurs éléments ambigus sur le début de l’implication des autorités françaises du Mandat dans la « question archéologique syrienne ». Les sujets abordés concernent les difficultés de mise en place du « Service des Antiquités », le manque de personnel, les activités de terrain, la création de musées et la situation en Cilicie. Joseph Chamonard propose plusieurs noms pour lui succéder et c’est finalement Charles Virolleaud qui est nommé par le général Gouraud en accord avec René Dussaud et Edmond Pottier.
Imitations, transpositions : Chypre et le Levant nord aux âges du Bronze moyen et du Bronze récent
Authors: Vilain Sarah
Published: March 2024

Résumé – Située au carrefour de voies maritimes majeures, l’île de Chypre joue un rôle central dans les échanges aux âges du Bronze moyen et du Bronze récent. Les céramiques qui y sont produites, appréciées aussi bien pour leur résistance que pour leurs qualités esthétiques, sont alors largement diffusées en Méditerranée orientale. Ces vases n’ont pas manqué d’inspirer les potiers levantins, menant à la création d’imitations et de nouvelles productions mêlant traits chypriotes et traits locaux. Outre ces créations en céramique, pendant l’âge du Bronze récent, circulent des vases en pierre dont les formes reproduisent elles aussi des modèles chypriotes. Si la présence d’importations nous apporte des enseignements sur les échanges commerciaux, l’élaboration d’imitations et de transpositions en pierre esquisse une image plus complexe et variée des interactions culturelles en Méditerranée orientale pendant le IIe millénaire av. n. è.
Aviation Cybersecurity
Authors: Asbaş Caner , Tuzlukaya Şule Erdem
Published: March 2024

Cybersecurity is a set of applications specialized for information and communication technology systems. Cybersecurity practices are conducted in cyberspace, and should be conducted both under the limitations and with the opportunities of this complex environment. Dynamic, totalistic, and adaptive approaches are required for cybersecurity; solely technical or financial measures would not be enough to ensure cybersecurity. Instead, a more holistic view that considers all aspects of cybersecurity would be more appropriate. In the aviation sector, where technical aspects are dominant and sensitivities are exceptionally high, it can be directly noticed that the associated complexities are heightened even further. This results in a requirement for a more concrete and detailed understanding and approach for cybersecurity in aviation. In this chapter, cybersecurity approaches and applications in aviation sector will be discussed extensively.
Enhancing Consumer Behavior and Experience Through AI-Driven Insights Optimization
Authors: Naveeenkumar N. , Rallapalli Sreekanth , Sasikala K. , Priya P. Vidhya , Husain Jakeer , Boopathi Sampath
Published: March 2024

This chapter delves into the role of AI-driven behavioral analytics in understanding, predicting, and enhancing consumer experiences. It highlights the integration of behavioral analytics, consumer experiences, and predictive modeling in reshaping market dynamics. The chapter explains the fundamental components of behavioral analytics, emphasizing its significance in understanding consumer preferences and decision-making processes. It also discusses the impact of AI-powered predictive analytics on consumer experiences, anticipating behaviors and fostering proactive strategies. It addresses ethical concerns like data privacy and algorithmic biases. The chapter provides a guide for practitioners, researchers, and businesses to harness AI's transformative potential in contemporary markets.
Emotional Intelligence in Understanding and Influencing Consumer Behavior
Authors: Tariq Muhammad Usman
Published: March 2024

This chapter explores how important emotional intelligence (EI) is in determining consumers' behaviour. The psychological foundations of emotional intelligence are examined, focusing on how consumers use EI to make decisions. The usefulness of theoretical frameworks, such as the ability and trait models, in comprehending customer preferences is investigated. The chapter also reviews several approaches to measuring customer sentiments, from sophisticated sentiment analysis to conventional surveys. To demonstrate how emotional intelligence (EI) improves consumer engagement and brand loyalty, case studies, best practices, and practical implementations of EI in digital marketing are provided. The chapter continues with a study of the effect of emotional intelligence (EI) on customer retention and a look at the new directions in emotional AI and its possible applications to consumer behaviour research.
Harnessing 6G for Consumer-Centric Business Strategies Across Electronic Industries
Authors: Ravisankar A. , Shanthi A. L. , Lavanya S. , Ramaratnam M. S. , Krishnamoorthy V. , Boopathi Sampath
Published: March 2024

The advent of 6G technology promises revolutionary advancements in connectivity, offering not just faster speeds but a paradigm shift in consumer experiences across electronic industries. This chapter delves into the realm of leveraging 6G beyond its connectivity prowess, exploring how it serves as a catalyst for innovative and consumer-centric business strategies. By examining its potential impact on various sectors—such as augmented reality, healthcare, autonomous vehicles, and smart cities—this chapter illuminates the transformative power of 6G. Through a detailed analysis of its capabilities, challenges, and the integration of AI, IoT, and edge computing, this chapter aims to provide insights into harnessing 6G's potential to drive a new wave of personalized and immersive experiences, redefining the landscape of consumer engagement in the electronic industry.
Artificial Intelligence in Protective Gear Design and Maintanence
Authors: Roy Rupayan , Laha Animesh , Chakraborty Apromita
Published: March 2024

This chapter investigates the application of artificial intelligence (AI) to the upkeep of safety equipment for employees across several industries. Wear and tear, exposure to dangerous materials, and other factors can reduce the effectiveness of protective equipment, making routine maintenance essential to ensuring that it stays functional and offers sufficient protection. It is explained how AI can be used for preventative maintenance, checks and repairs, and extending the lifespan of safety equipment. AI is capable of identifying tears or other damage in personal protective equipment (PPE), guiding repairs, and extending the lifespan of equipment. Incorporating AI into protective equipment maintenance can improve safety, save time and money, and as technology advances, it has the potential to completely change how protective equipment is maintained and managed. The chapter concludes that in order to preserve worker safety and wellbeing, enterprises should integrate AI into their strategy for maintaining protective equipment.
Energy Harvesting System Design and Analysis Using Biomimicry
Authors: Jain Vishal , Mitra Archan
Published: March 2024

This research explores energy harvesting systems through biomimicry, the practice of emulating natural processes for technological solutions. Addressing the need for sustainable and efficient energy sources, the study investigates the design and performance of biomimetic energy systems compared to conventional methods. Utilizing a mixed-methods approach, including literature review, case studies, and computational simulations, the research evaluates the efficiency, resilience, and environmental impact of these systems. Preliminary findings reveal that biomimetic designs offer enhanced efficiency and reduced ecological footprints, showcasing the potential of nature-inspired approaches in renewable energy. The study highlights the importance of further exploration in this field, particularly focusing on scalability and long-term sustainability.
Innovating Services: Navigating the Digital Frontier
Authors: Singh Yuvika , Bansal Esha , Chanana Nisha
Published: March 2024

In the contemporary digital landscape, service innovation stands as the linchpin for organizational success. This chapter embarks on a transformative journey into the heart of service innovation in the digital age. From disruptive technologies to revolutionary customer experiences, the chapter meticulously explores the multifaceted dimensions of service innovation. Drawing on real-world examples and cutting-edge research, this chapter illuminates the strategies, challenges, and opportunities that define service innovation in the dynamic digital era. Through this comprehensive exploration, it provides a nuanced understanding of the transformative role and profound significance that service innovation holds in ensuring organizational resilience and success amidst the dynamic digital landscape.
Revolutionizing Service Productivity
Authors: Govindaraj Manoj , Gnanasekaran Chandramowleeswaran , Kandavel R. , Khan Parvez , Hoang Sinh Duc
Published: March 2024

In this pivotal chapter, the authors embark on a comprehensive exploration of the transformative influence of artificial intelligence (AI) in reshaping service productivity across diverse industries. The chapter unfolds with a meticulous examination of the foundational principles of AI, shedding light on its various manifestations, from machine learning algorithms to natural language processing. Through real-world case studies, the authors navigate the tangible impact of AI on service delivery models, illuminating instances where organizations have successfully integrated AI to streamline operations, enhance customer experiences, and foster innovation. The chapter begins by establishing the fundamental role of AI in deciphering complex data sets, enabling organizations to extract actionable insights and make informed decisions. As the authors traverse the landscape of AI in service productivity, the chapter concludes by presenting a practical roadmap for organizations looking to integrate AI seamlessly into their operations.
Implementing Artificial Intelligence and Virtual Experiences in Hospitality
Authors: Talukder Mohammad Badruddoza
Published: March 2024

AI and virtual experiences have revolutionized the hotel and tourism business, offering new opportunities to improve visitor experiences, speed up processes, and increase customer satisfaction. Technology is transforming hospitality to boost efficiency and innovation in this fast-paced environment. Hotel websites and mobile apps need chatbots and virtual assistants to handle bookings, inquiries, and personalized advice efficiently. Virtual tours show hotels, facilities, and neighborhood activities to assist travelers in their choices. Travel businesses highlight destinations and provide customers with virtual tours before leaving. AI algorithms use demand, seasonality, and local events to improve hotel prices and revenue management. AI concierges offer real-time help and individualized recommendations. AI and virtual experiences are revolutionizing hotel administration and tourism, improving efficiency, guest satisfaction, and hospitality. Businesses that adopt these technologies stay ahead of the hotel industry and satisfy modern customers.
Artificial Intelligence (AI) for Tourism Start-Ups
Authors: Ghouse Suhail Mohammad , Chaudhary Monica
Published: March 2024

This chapter explores the dynamic intersection of artificial intelligence (AI) and the startup landscape within the tourism industry. It investigates how AI has the potential to revolutionize operations, innovation, and services for emerging businesses in tourism. Demonstrating AI's critical role in enhancing the tourism experience—ranging from personalized recommendations and chatbot-driven customer service to pricing optimization and demand forecasting—it showcases innovative solutions from notable startups like DeepL, Fetch.ai, and Lilium. The chapter includes brief case studies illustrating AI applications in tourism and emphasizes the pivotal role of investors in supporting these startups. It concludes by outlining future research directions, addressing strategies for maximizing AI benefits in tourism, managing privacy and security concerns, and navigating the evolving landscape of AI integration in travel.
Employer Branding
Authors: Pahuja Pallavi , Sharma Ruby , Batta Aaruni
Published: March 2024

In today's fiercely competitive job market, establishing a positive image of your company as an employer of choice is paramount. This is the essence of employer branding - a dynamic process that aims to attract and retain top talent by effectively communicating a company's culture, values, and employee value proposition (EVP). HR leaders are pivotal in shaping and sustaining a compelling employer brand. By embracing innovative HR practices, they can craft workplaces that not only lure in the best talent, but also facilitate their growth and development.
The Future of Medical Robotics and AI-Assisted Diagnostics
Authors: Qamar Roheen , Zardari Baqar Ali , Khang Alex
Published: March 2024

Artificial intelligence (AI) is the ability of a computer to do tasks that often require human intelligence, such as speech and picture recognition and decision-making. AI is being used in healthcare to automate processes that need a high degree of precision and accuracy, such diagnosis and medical picture processing. The rapid development of machine learning algorithms, which are often implemented through deep learning, along with the expansion of digital data and processing power facilitated by advancements in hardware technology, have a substantial impact on the healthcare industry. Artificial intelligence has advanced significantly in recent years and is now extensively utilized in the healthcare industry to automate a range of jobs that call for a high level of precision and accuracy. In the medical area, robots are revolutionizing surgery techniques, expediting the delivery of supplies and cleaning and freeing up healthcare professionals to concentrate on interacting and tending to patients.
E-Mobility in Electrical Energy Systems for Sustainability
Authors: Rajnath Yadav KrishnaKumar
Published: March 2024

The integration of e-mobility into electrical energy systems stands as a transformative initiative with profound implications for sustainability in the transportation sector. This study explores the multifaceted aspects of e-mobility, emphasizing its role in reducing reliance on fossil fuels, decreasing emissions, and promoting cleaner and more sustainable transportation solutions. Key considerations include the electrification of transportation, integration of energy storage, development of smart charging infrastructure, challenges and enhancements to the electrical grid, synergy with renewable energy sources, environmental benefits, lifecycle assessment, policy and incentives, and ongoing technological advancements. By delving into these aspects, this research aims to provide a comprehensive understanding of the interplay between e-mobility and electrical energy systems, contributing valuable insights to the broader discourse on sustainable transportation.
Ethical Considerations in AI Development
Authors: Singh Bhanu Pratap , Joshi Ankush
Published: March 2024

This chapter serves not only as a repository of ethical insights, but as a clarion call for a multidisciplinary and collaborative approach. Ethical considerations in AI development demand a collective effort, where technologists, ethicists, policymakers, and society engage in an ongoing dialogue. It is through such collaboration that we can envision and craft a future where AI technologies not only excel in technical prowess but also uphold the principles of fairness, accountability, and societal benefits. In essence, this chapter invites readers to embark on a reflective journey, encouraging a deeper understanding of the ethical intricacies that underlie AI development. It is a call to action, challenging us to wield the power of AI responsibly and ethically, shaping a future where technology becomes a force for positive societal transformation.
Security Analysis of the Cyber Crime
Authors: Shukla Ratnesh Kumar , Tiwari Arvind Kumar
Published: March 2024

The primary driver of this expansion is the internet user, who is expected to connect 64 billion devices worldwide by 2026. Nearly $20 trillion will be spent on IoT devices, services, and infrastructure, according to Business Insider. Many cybercrimes and vulnerabilities related to cybercrime are committed with the use of data. Asset management, fitness tracking, and smart cities and homes are examples of internet security applications. The average person will most likely own two to six connected internet security devices by the end of the year, a significant increase over the total number of cell phones, desktop computers, and tablets. Although data provides a plethora of opportunities for its users, some have taken advantage of these advantages for illegal purposes. In particular, a great deal of cybercrime is made possible by the gathering, storing, analyzing, and sharing of data as well as the widespread gathering, storing, and distribution of data without the users' knowledge or consent and without the required security and legal protections. Furthermore, because data gathering, analysis, and transfer happen at scales that governments and organisations are unprepared for, there are a plethora of cybersecurity threats. Protection, privacy, and system and network security are all related.
The Proposed Framework of View-Dependent Data Integration Architecture
Authors: Kumar Pradeep , Kumar Madhurendra , Kumar Rajeev
Published: March 2024

In this chapter the authors have proposed framework that have we are using various techniques to overcome the above mentioned challenges and proving the exact identification and extraction of WQI by classifying them according to their domain. The framework has been represented in system level design as a high level view of the view dependent data integration system and the architectural framework of the system design. Being a multi-database-oriented system, it is scalable to structure as well as unstructured data source. The wrapper and mediator module of the system is used to map the web-query-interface to the global schema of the integrated web query interfaces. In this the authors have implemented high level view of the system modeling from the end users' point of view; and the operational framework design also been represented.
Toward a More Ethical Future of Artificial Intelligence and Data Science
Authors: Shafik Wasswa
Published: March 2024

Examining the ethical aspects of artificial intelligence (AI) and data science (DS) recognizes their impressive progress in innovation while emphasizing the pressing necessity to tackle intricate ethical dilemmas. The chapter provides a detailed framework for navigating the changing environment, beginning with an examination of the increasing ethical challenges. The study highlights transparency, fairness, and responsibility as crucial for cultivating confidence in AI systems. The chapter emphasizes the urgent requirement to address problems such as algorithmic bias and privacy breaches with strong mitigation techniques. Furthermore, it promotes flexible policies that strike a balance between innovation and ethical safeguards. The examination of societal effects, particularly on various socioeconomic groups, economies, and cultures, is conducted thoroughly, with a focus on equity and the protection of individual rights. Finally, to proactively tackle future ethical challenges in technology, it is advisable to employ proactive solutions such as implementing AI ethics by design.