bluuebunny/crossref_metadata_2025 huggingface dataset:
POMENOVANIA SIVEJ FARBY V SLOVENČINE V KONTEXTE SLOVANSKÝCH JAZYKOV SUSEDNÝCH AREÁLOV
Authors: ULICNA Martina , KVAPIL Roman
Published: May 2024

: The study presents linguistic material which, from a diachronic and synchronic point of view, presents the way the Slovak language names the colour grey, and also the figurative meanings that Slovak colour names denoting the colour of ash are able to express in comparison with other Slavic languages of neighbouring areas, i.e. Czech, Polish and Ukrainian. The conclusions presented in the study are based on the results of a comparative and contrastive analysis of linguistic material obtained by excerpting from collections of folklore, a historical dictionary, a dictionary of Slovak dialects, and textual corpora of contemporary Slovak, Czech, Polish, and Ukrainian, coupled with a quantitative characterization of the use of the given colour names in these genetically related languages. The analysed linguistic material is the basis for conclusions concerning the differences in the use of colour names denoting grey colour in the formation of multi-word names in Slavic languages and in the adoption of international terminology in which these names occur. A comparison with Slavic languages whose areas are located in the geographical neighbourhood of Slovak shows that the richness of lexical meaning of words denoting grey colour and their use in multi-word naming of terminological and non-terminological character may be wider in other languages than in Slovak. Compared to other Slavic languages, in Slovak the competition of two adjectives denoting grey colour can be observed not only in the basic meaning, but also in figurative meanings and in multi-word denotations of terminological and phraseological character.
NEUTRAL AND CONTEXT-DEPENDENT PHRASEOLOGISMS CONTAINING A SOMATIC COMPONENT IN THE ALBANIAN LANGUAGE AND THEIR TRANSLATION EQUIVALENTS IN SERBIAN
Authors: SIVAČKI Ana
Published: May 2024

One of the crucial reasons underlying the analysis conducted herein pertains to insufficiently explored mutual phraseological relations between Albanian and Serbian, coupled with a rather interesiting concept of existence of the neutral and context-dependent semantic fields. The subject of the paper includes contrastive formal-structural, semantic and conceptual analysis of phraseological units containing constituents of somatic origin in the Albanian language, which are contrasted with their translation equivalents in Serbian. The analysis is performed on the corpus excerpted from various monolingual and bilingual general and phraseological dictionaries, and it is performed on phraseological units containing the following somatic components: sy [eye], kokë [head], dorë [hand] / krah [hand, shoulder, wing], and këmbë [leg]. The degree of concordance between the observed somatic phraseologisms in Albanian and Serbian is determined by formal and semantic analysis, yielding three basic and generally accepted categories of inter-phraseological equivalence: complete (absolute), partial and zero. Moreover, further elaboration of the corpus through conceptual analysis and the pertinent postulation of conceptual metaphors or metonymies in addition to identifying other processes of phraseologization have been performed so as to determine neutral and context-dependent semantic fields and domains which gather the largest number of such phraseologisms. Since semantic neutrality (ambivalence) or context-dependence (bivalence) have so far not been considered by cognitive-linguistic research studies to a large extent, the purpose of this paper is to determine, inter alia, whether the addition of this category to the standard conceptual analysis is methodologically and scientifically justified.
ANALYSIS OF THE CONCEPTS OF "LIFE" AND "DEATH" IN CHINESE LINGUISTIC CULTURE
Authors: BOGDANOVA Anna R.
Published: May 2024

This article poses the question of the necessity for a comprehensive examination of Chinese linguistic culture, including the examination of mentality, concepts of the world in Chinese linguistic culture, and the examination of universal concepts of existentialism such as "life" and "death" and their reflection in Chinese linguistic culture. In this regard, terms such as linguoculture, concept, linguocultural concept, and language picture of the world are examined, and the contents of the concepts "life" and "death" are also revealed. The purpose of this study is to identify and describe the content of the concept "life and death" in the modern Chinese language picture of the world and to determine the way of their lexicographic representation. "Life" and "death" are two of the basic concepts that underlie the general development of human reality. They are universal but differ in national and cultural originality. The examination of concepts will reveal their linguocultural specifics. The relevance of the study is due to the fact that the understanding of life and attitude to life in any linguistic culture is a basic guideline of human behavior, which determines ethno-specific norms and stereotypes of communication, as well as the mentality of native speakers. An analysis of the verbal representation of the concepts "Life" and "Death" in Chinese linguistic culture shows not only the traditional but also the modern understanding of life and death and the attitude toward them.
Hemşirelik Öğrencilerinin Cinsel Mitler, Evlilik Dışı Cinsel İlişki ve Namus Beklentisine Yönelik Tutumları
Authors: Çıtak Bilgin Nevin , Böyük Mervenur
Published: May 2024

Amaç: Araştırma, hemşirelik bölümü öğrencilerinin cinsel mit, evlilik dışı cinsel ilişki ve namus beklentisine ilişkin tutumlarını ve etkileyen faktörleri değerlendirmek için yapılmıştır.
Yöntem: Kesitsel ve tanımlayıcı tipteki araştırma, Batı Karadeniz Bölgesi’nde bulunan bir üniversitede hemşirelik bölümünde eğitim gören 590 öğrenciyle gerçekleştirilmiştir. Veriler; kişisel bilgi formu, Cinsel Mitler Ölçeği (CMÖ), Evlilik Dışı Cinsel Yakınlığa Yönelik Tutum Ölçeği (EDCYYTÖ) ve Kadına İlişkin Namus Anlayışı Tutum Ölçeği (KİNATÖ) ile toplanmıştır. Verilerin değerlendirilmesinde tanımlayıcı analizler, One way Anova testi ve bağımsız gruplarda t testi kullanılmıştır.
Bulgular: Öğrencilerin CMÖ puan ortalaması 56.71±19.76, EDCYYTÖ puan ortalaması 70.45±18.64 ve KİNATÖ puan ortalaması 101.98± 18.07 olarak belirlenmiştir. Cinsel mitlere inanma, evlilik dışı cinsel yakınlığa ilişkin tutum ve kadına ilişkin namus anlayışını etkileyen temel faktörlerin; cinsiyet, cinsel konulara yönelik sağlık personelinden bilgi alma, cinsel yaşam ile ilgili konuları konuşma ve aktif cinsel yaşamın varlığı olduğu saptanmıştır. Sınıf düzeyi cinsel mitlere ve evlilik dışı cinsel yakınlığa ilişkin tutumu etkilerken, kadına ilişkin namus anlayışını etkilememiştir. Ebeveynlerin eğitim durumu cinsel mitlere inanmayı etkilerken, evlilik dışı cinsel yakınlığa ilişkin tutum ve kadına ilişkin namus anlayışını etkilememiştir. Yaşanılan coğrafi bölgenin ise cinsel mitlere inanma ve namus anlayışını etkilediği, evlilik dışı cinsel yakınlığa ilişkin tutumu etkilemediği saptanmıştır.
Sonuç: Hemşirelik öğrencilerinin cinsel mitler, evlilik dışı cinsel yakınlık ve kadına ilişkin namus anlayışı tutumunda demografik ve sosyo-kültürel faktörler etkili olabilir. Bu nedenle cinsellik ile ilgili bilgiler aktarılırken bu faktörler göz önünde bulundurulmalıdır.
Merits and Demerits of Cloud Computing for Business
Authors: Augustine Onwuzurike Maduabuchukwu
Published: May 2024

In today's world, cloud computing has become a new way of thinking about technology that promises many benefits to businesses. Businesses can cut down on capital costs, improve agility, and better use their resources by using virtualized and scalable computing resources provided over the Internet. Moving to the Cloud, however, brings new problems and risks that must be carefully considered. The article carefully considers the pros and cons of using the Cloud for businesses from a strategic point of view. We put together key benefits like lowering costs, growing, and being flexible in business by looking at literature from different areas, like management, computer science, and information systems. At the same time, we look at the most common risks, such as security issues, being locked into one vendor, following the rules, and losing control over data and systems. It also suggests a decision strategy that businesses can use to systematically figure out if cloud computing is a good fit for their specific operations. Our study adds to the body of academic knowledge by promoting a more complete understanding of the strategic effects of cloud computing. It also gives practitioners a strong analytical lens to help them understand the complexities of this paradigm shift.
Knowledge and Attitude on Initiation and Establishment of Breast Feeding Among Primi Mothers
Authors: M Irin Anitha. , Susila C. , D Sasikala. , A Merlin .
Published: May 2024

Introduction: The best nourishment for an infant's growth and development is human milk. Breastfeeding lowers infant mortality and morbidity, especially from infections like pneumonia, neonatal sepsis, and diarrhoea. First-time mothers, play a crucial role in nurturing their newborns, and knowledge about breastfeeding is paramount for several reasons. Every primi gravida mothers should know about breast feeding for the well being of their babies. Therefore, the purpose of this study was to evaluate primi mothers' knowledge and attitudes regarding the initiation and establishment of breastfeeding.  Methods: In this study, a survey approach & descriptive correlational research design was used. Using purposive sampling technique, 100 primi mothers who were between 34-38 weeks of gestation were selected in a tertiary care center, Chennai. Pre tested tools such as background variable proforma, structured questionnaire to assess the knowledge and modified Iowa Infant feeding scale to assess the attitude on breast feeding were used to collect the data.  Results: The study findings revealed that majority of the mothers were in the category of needs improvement (76%). Majority of the mothers had positive attitude towards initiation and establishment of breast feeding (85%).
D4.1 Scorecard methodology (tool) for coastal system restoration effects on ESS and BDV
Authors: Baptist Martin , Marijnissen Richard , Różyński Grzegorz , Musumeci Rosaria Ester , Marino Massimiliano , Borzi Laura , di Stefano Agata , Jolivet Morgane , Stocco Alice , Horneman Fabienne , Rova Silvia , Torresan Silvia , Furlan Elisa , Dabalà Caterina , Coccon Francesca , Critto Andrea , Pranovi Fabio , Bertomeu Ferran , Ibáñez Carles , Caiola Nuno , Hineva Elitsa , Andreeva Nataliya , Eftimova Petya , Prodanov Bogdan , Doncheva Valentina , Valchev Nikolay , Berg Shylee , Cognat Mathis
Published: May 2024

This deliverable presents the generation of EUNIS habitat maps for Europe as a whole and for each of the pilot areas in REST-COAST. Subsequently, it presents the assignment of semi-quantitative scores for the contribution of each EUNIS (sub)habitat to the five key ecosystem services applying the rank scale 0 (none), 1 (very low contribution), 2 (low contribution), 3 (medium contribution), 4 (high contribution) to 5 (very high contribution). It also describes the assignment of the IUCN Red List of Habitats to each of the depicted EUNIS (sub)habitats in the pilot areas. And finally, to assess coastal system behaviour and restoration effects on ecosystem services and biodiversity gains under climate change, a homogenised score card methodology is presented to overcome the problem of comparing minor changes (some percents) with major changes (tens of percents) in the total scores for ESS or BDV in each pilot area.
Let’s talk aliens - Stakeholder perceptions of an alien species differ in time and space
Authors: Henke Theresa , Novoa Ana , Bárðarson Hlynur , Ólafsdóttir Guðbjörg Ásta
Published: May 2024

Humans play an integral role in biological invasions, from aiding introductions of alien species to experiencing their impacts and holding the ability to manage them. The importance of understanding the dynamics of stakeholders’ perceptions on alien species is therefore increasingly recognized. In this study, we used anonymous online surveys to contrast recreational anglers’ perceptions towards European flounder (Platichthys flesus, Linnaeus, 1758) in Iceland, where it is classified as a potentially invasive species, to the perceptions prevailing amongst recreational anglers in the species’ native range. We furthermore explored potential temporal changes in the perception of Icelandic recreational anglers. Our results indicate that Icelandic recreational anglers have a highly negative perception towards the European flounder, while in its native range, recreational anglers have positive perceptions towards this species. In Iceland, we have furthermore detected a significant change towards less negative perceptions between the surveys administered in October 2019 and March 2023. Finally, we compared the results of the online surveys and novel, conservation culturomics tools to further explore stakeholder perceptions and public interest in Iceland. The comparison highlighted some limitations that should be considered when using culturomics in very small societies or for small languages. For example, the text mining approaches on newspaper articles and social media conservations detected neutral perceptions in the communication to the public and within the targeted stakeholder group via social media in contrary to the perceptions detected in the online surveys. Moreover, we detected short-term peaks in the public’s interest in European flounder and potential drivers of those peaks using Wikipedia pageviews but Google Trends provided mixed and unreproducible results. Overall, our study highlights that stakeholders’ perceptions towards an alien species as well as the public’s interest in it vary over time and space, though the drivers of these changes are often difficult to identify.
A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion
Authors: Yousuf Assila , George David Solomon
Published: May 2024

Singing voice conversion methods encounter challenges in achieving a delicate balance between synthesis quality and singer similarity. Traditional voice conversion techniques primarily emphasize singer similarity, often leading to robotic-sounding singing voices. Deep learning-based singing voice conversion techniques, however, focus on disentangling singer-dependent and singer-independent features. While this approach can enhance the quality of synthesized singing voices, many voice conversion systems still grapple with the issue of singer-dependent feature leakage into content embeddings. In the proposed singing voice conversion technique, an encoder decoder framework was implemented using a hybrid model of convolutional neural network (CNN) accompanied by long short term memory (LSTM). This paper investigated the use of activation guidance and adaptive instance normalization techniques for one shot singing voice conversion. The instance normalization (IN) layers within the auto-encoder effectively separated singer and content representations. During conversion, singer representations were transferred using adaptive instance normalization (AdaIN) layers. This singing voice system with the help of activation function prevented the transfer of singer information while conveying the singing content. Additionally, the fusion of LSTM with CNN can enhance voice conversion models by capturing both local and contextual features. The one-shot capability simplified the architecture, utilizing a single encoder and decoder. Impressively, the proposed hybrid CNN-LSTM model achieved remarkable performance without compromising either quality or similarity. The objective and subjective evaluation assessments showed that the proposed hybrid CNN-LSTM model outperformed the baseline architectures. Evaluation results showed a mean opinion score (MOS) of 2.93 for naturalness and 3.35 for melodic similarity. These hybrid CNN-LSTM techniques allowed it to perform high-quality voice conversion with minimal training data, making it a promising solution for various applications.
The build up construction for codes over a non-commutative non-unitary ring of order $ 9 $
Authors: Alahmadi Adel , Alihia Tamador , Solé Patrick
Published: May 2024

The build-up method is a powerful class of propagation rules that generate self-dual codes over finite fields and unitary rings. Recently, it was extended to non-unitary rings of order four to generate quasi self-dual codes. In the present paper we introduce three such propagation rules to generate self-orthogonal, one-sided self-dual, and self-dual codes over a special non-unitary ring of order 9. As an application, we classify the three categories of codes in lengths at most $ 7, $ up to monomial equivalence. Mass formulas for the three classes of codes considered ensure that the classification is complete.
A new hybrid classification algorithm for predicting student performance
Authors: Alharbi Abdulmajeed Atiah , Allohibi Jeza
Published: May 2024

Education is essential and increasingly crucial for the development of almost all countries worldwide. As educational data has become increasingly available, scholars have shown a growing interest in exploring the correlation between students' academic achievements and other factors that may impact their performance using machine learning algorithms. This research paper introduces a novel hybrid classifier that aims to predict the academic performance of students by using a combination of different single algorithms. The proposed hybrid classifier (PHC) is compared to six available classification algorithms (random forest (RF), C4.5, classification and regression trees (CART), support vector machines (SVM), naive Bayes (NB) and K-nearest neighbors (KNN)) using recall, precision, F1-score, and accuracy evaluation measures. Our experimental results reveal that the PHC classifier consistently outperforms the individual classifiers across multiple evaluation metrics. Specifically, the PHC classifier achieved an accuracy rate of 92.40%, surpassing the RF, C4.5, and CART classifiers, which were the next best performers. In terms of precision and F1 score, the PHC also demonstrated superior performance, indicating its robustness in correctly identifying positive instances and providing balanced accuracy. While the C4.5 classifier performed comparably to the PHC classifier concerning the recall metric, the hybrid model's overall performance highlights its effectiveness in leveraging the complementary strengths of the included classifiers. The suggested hybrid model has the potential to enhance students' academic performance and success more effectively and efficiently. It could benefit students, educators, and academic institutions. Additionally, it provides practical insights for educators and institutions striving to improve student achievement using predictive analysis.
Dynamic analysis of a Filippov blood glucose insulin model
Authors: Wu Qiongru , Yu Ling , Li Xuezhi , Li Wei
Published: May 2024

This paper proposed a Filippov blood glucose insulin model with threshold control strategy and studied its dynamic properties. Using Filippov's convex method, we proved the global stability of its two subsystems, the existence and conditions of the sliding region of the system were also given, and different types of equilibrium states of the system were also addressed. The existence and stability of pseudo equilibrium points were thoroughly discussed. Through numerical simulations, we have demonstrated that it is possible to effectively control blood sugar concentrations to achieve more cost-effective treatment levels by selecting an appropriate threshold range for insulin injection.
Exploring the responses of preclinical medical students and professors to flipped learning for the development of clinical reasoning
Authors: Si Jihyun
Published: May 2024

Purpose: This study developed and implemented case-based flipped learning using illness script worksheets and investigated the responses of preclinical students and professors to the intervention in terms of its effectiveness, design, and implementation.Methods: The study was conducted at a medical school in Korea, where the “clinical reasoning method” course, originally a lecture-oriented course, was redesigned into a flipped learning. In total, 42 second-year medical students and 15 professors participated in this course. After the class, online surveys were conducted, and a focus group interview was held with seven students to explore the students’ experiences in more detail.Results: In total, 37 students and seven professors participated in the survey. The mean score for all items is 3.12/4 for the student survey and 3.43/4 for the professor survey. The focus group interview results were categorized as the beneficial aspects and challenges for the development of clinical reasoning.Conclusion: The findings indicated that their responses to the intervention were generally positive, and it is thought to be an effective instructional method for fostering clinical reasoning skills in preclinical medical students.
Sortir de l’autorité ethnographique : la photographie documentaire dialogique
Authors: Hoelken Amandine Turri
Published: May 2024

La « dialogie » repose sur l’indépendance des personnages et des lecteurs, un inachèvement du dialogue et une approche polyphonique témoignant de différents points de vue. Appliquée à la photographie documentaire, cette démarche implique de nouvelles relations entre le photographe, les sujets et les spectateurs. Elle entraîne la collaboration et la participation de ces différents acteurs. L’étude des travaux de quatre photographes permettra d’éclairer les liens de la photographie documentaire dialogique et de l’ethnologie.
Enquêtes photographiques en établissements fermés
Authors: Méaux Danièle
Published: May 2024

Les travaux menés ces dernières années sur les prisons françaises par Mathieu Pernot et Maxence Rifflet ou sur les institutions psychiatriques par Jean-Robert Dantou et Claire Chevrier permettent de déceler une diversité de conduites qui rend ces artistes capables d’éviter toute position de surplomb à l’égard des personnes concernées et de mener des investigations sensibles, riches d’enseignements. Les travaux de ces photographes rencontrent incontestablement le champ des recherches en ethnologie ou en anthropologie.
Être affecté : politique, éthique et esthétique d’une exposition ethno-photographique
Authors: Cuny Cécile
Published: May 2024

Jeanne Favret-Saada désigne les réactions involontaires de l’enquêtrice lorsqu’elle est « prise » dans les systèmes de relations qu’elle entreprend de connaître par le fait d’« être affecté ». Cet article transpose cette catégorie à l’analyse d’une exposition photographique présentant des itinéraires réalisés avec des ouvriers et ouvrières de la logistique en France et en Allemagne. « Être affecté » entrecroise alors des questions politiques, éthiques et esthétiques qui relient personnes photographiées, photographes, enquêteurs et spectateurs de l’exposition.
Photographie et anthropologie : perspectives multimodales
Authors: Leon-Quijano Camilo
Published: May 2024

En partant d’une réflexion sur l’expérience photographique au sein de l’enquête ethnographique, cet article présente trois perspectives multimodales issues d’explorations créatives et sensorielles : la première touche aux démarches participatives permettant d’engager un dialogue réflexif ; la deuxième explore les dialogues sensibles entre photographies, sons et textes ; la troisième analyse l’exposition multimodale en repensant la manière dont les récits visuels issus d’une enquête ethnographique sont partagés.
« Qui désormais dira le réel ? » : The Book of Veles de Jonas Bendiksen
Authors: Dietschy Nathalie
Published: May 2024

Cet article propose de réfléchir au potentiel « mensonge » de la photographie à partir de l’ouvrage The Book of Veles (2021) de Jonas Bendiksen, dont le contenu a été généré sur ordinateur. Cette démarche révèle la difficulté à distinguer le vrai du faux dans le régime actuel des images et des textes générés par les algorithmes. Il réitère la question posée par Quentin Bajac il y a plus de dix ans, « qui désormais dira le réel ? », et suggère que ce pourrait être les machines.
Photographie et fonction d’analyseur de l’art contemporain
Authors: Paquet Suzanne
Published: May 2024

Après avoir défini ce qui est entendu par « analyseur », ce texte propose de vérifier, à travers une étude de cas, soit l’œuvre monumentale Seven Magic Mountains de l’artiste Ugo Rondinone, comment la photographie peut être considérée comme étant au cœur du travail d’analyseur qu’est susceptible d’accomplir l’art contemporain. L’enquête fait d’abord détour par le Land Art, pour ensuite circuler à travers diverses pages web et bon nombre d’images et ainsi démontrer que l’œuvre étudiée analyse le tourisme et le spectacle.
Gustave Roud, écrivain-photographe
Authors: Baetens Jan
Published: May 2024

Il s’agit d’examiner ici les rapports entre écriture poétique et production photographique dans l’œuvre de Gustave Roud (1897-1976). Le travail photographique de cet auteur, qui s’étale sur près de soixante ans, est resté peu connu de son vivant. L’article interroge les raisons de cet oubli, puis analyse la manière dont ses prises de vue ont été révélées à travers des livres qui construisent des rapports singuliers entre textes et images, tout en permettant de mieux cerner le concept-clé de « paradis ».
L’activité minière artisanale dans l’ouest du Kenya : entre dynamiques locales & dynamiques transfrontalières
Authors: Bohbot Joseph
Published: May 2024

Cet article met en lumière la particularité du comté de Kakamega, à l’Ouest du Kenya, dans le cadre des nouvelles ruées vers l’or en Afrique subsaharienne. Bien que situé à proximité de l’Ouganda et de la Tanzanie, le cas de Kakamega souligne des dynamiques nationales et locales propres au Kenya concernant l’autochtonie et l’accès à la ressource, ici aurifère. L’essor de l’orpaillage artisanal depuis 2017 est le fait de résidents locaux installés sur des terres privées. Seuls les techniques, l’outillage et l’or semblent traverser les frontières et inscrire cette zone d’orpaillage dans des dynamiques transfrontalières. L’article est organisé en deux parties, la première traite de dynamiques nationales et locales dans l’organisation de l’orpaillage et la seconde est centrée sur les circulations de manière à mettre en lumière ce contraste. Ce travail s’appuie sur des entretiens qualitatifs, de l’observation et de la documentation photographique réalisés durant deux périodes distinctes entre février et mai, en 2022 et en 2023 dans un espace allant du comté de Migori au comté de Kakamega.
Epopée familiale ou destins collectifs dans Enfant de bohème de Gilles Kepel
Authors: Quintin Fettouma
Published: May 2024

Notre article interroge l’intérêt que peut revêtir une biographie familiale à travers son mode d’écriture et ses enjeux comme celui de son inscription dans la grande Histoire. Par sa sagacité et ses voies tentaculaires, elle prend l’allure d’une épopée, investissant de la sorte, les sphères privée et publique. Ses personnages deviennent indissociables de l’univers auquel ils appartiennent : hommes et choses.
Usages et pratiques de la digitalisation des soins et des relations : ce que les outils numériques font à la PMA transfrontière
Authors: Malmanche Hélène , Rozée Virginie
Published: May 2024

Cet article explore divers aspects des usages des outils numériques dans le contexte de la procréation médicalement assistée (PMA) transfrontière, sur la base d’entretiens réalisés auprès de personnes ayant recours à une PMA « hors cadre ». Il met en évidence la place des pratiques numériques lors de la phase d’élaboration du projet parental puis de la mise en œuvre des traitements de PMA. L’article examine par ailleurs la façon dont les outils numériques concourent à l’élargissement des possibles procréatifs au sein du « marché de la fertilité », ainsi que les écueils et les défis inhérents à cette expérience. En comparant les pratiques numériques dans les prises en charge de PMA en France et à l’étranger, nous souhaitons déplacer le questionnement au-delà de l’opposition médecine publique/médecine privée, et ouvrir ainsi de nouvelles pistes de réflexion sur les fonctions et l’appropriation des outils numériques dans la relation de soin.
Leveraging Artificial Intelligence for Cybersecurity
Authors: S. Raja Shree , A. Jemshia Miriam , A. Nafees Muneera , V. Saranya
Published: May 2024

With the rapid evolution of technology and the growing threat landscape, the utilization of artificial intelligence (AI) in cybersecurity has gained significant attention. This chapter explores the implementation of AI techniques in various aspects of cybersecurity, highlighting their potential benefits, challenges, and future prospects. The authors delve into the application of AI in threat detection, vulnerability assessment, incident response, and user authentication. Additionally, they discuss the ethical considerations associated with AI-powered cybersecurity solutions. Through a comprehensive review of existing literature and case studies, this chapter aims to provide insights into the current state of AI integration in cybersecurity, paving the way for a more secure digital future.
Utilizations of AI in Cryptography
Authors: S. Meera , Kumar S. Dinesh , Sree R. Sharmikha , R. A. Kalpana , R. Deepika
Published: May 2024

AI procedures have had a considerable rundown of utilizations lately. Notwithstanding, the utilization of AI in data furthermore, network security isn't new. AI and cryptography share numerous things for all intents and purposes. The most obvious is the handling of a lot of information and enormous pursuit spaces. In its changing strategies, AI has been a fascinating field of study with gigantic potential for application. For thirty years, AI procedures, whether directed or unaided, have been applied in cryptographic calculations, cryptanalysis, steganography, among different information security-related applications. This chapter presents a refreshed review of uses of AI procedures in cryptography and cryptanalysis. The chapter sums up the exploration done here and gives ideas to future bearings in research.
Machine Learning Applications in Behavioural Authentication Data Using Gait Analysis
Authors: R. Beaulah Jeyavathana , Mohan Uma , S. Vanila
Published: May 2024

In an era marked by the increasing demand for secure and user-friendly authentication methods, the convergence of behavioral biometrics and machine learning offers a compelling solution. The proposed methodology elucidates the process of data collection, emphasizing the significance of diverse and contextually varied gait datasets. Feature extraction techniques, encompassing spatiotemporal parameters and joint kinematics, are detailed to facilitate the translation of raw gait data into informative features. Machine learning model selection, a pivotal aspect of the methodology, includes a strategic choice of algorithms tailored to gait analysis, with considerations spanning model complexity, interpretability, and performance. The authors present a review of pertinent literature, a robust methodology for data collection and analysis, experimental results, and a discussion of findings. This study demonstrates the potential of machine learning in leveraging gait analysis as a reliable and unobtrusive means of user identification with applications ranging from access control to healthcare monitoring.
Stochastic Quantum Bolt-Belief Neural Network-Based Insrusion Detection With Two-Fish Digital Hash Cryptography for Data Security
Authors: P. Kirubanantham , G. M. Karthik , S. Fowjiya , D. Senthil Kumar
Published: May 2024

Ensuring the security of wireless data transmission is a crucial element of intrusion detection systems (IDS) that rely on deep learning and cryptography. Therefore, this study introduces the stochastic quantum bolt-belief neural network (SQB-BNN) and two-fish digital hash cryptography (TFDC). The dataset was first preprocessed using the ProScalar Splash normalisation approach. Subsequently, the Qubit Lion optimisation algorithm (QLOA) is used to extract the attack-related characteristics. The stochastic quantum bolt-belief neural network assists in accurately detecting intruders. Finally, Two-Fish digital hash cryptographic technique ensures the secure storage of data files on the server. The whole experiment was conducted with the KDD Cup dataset under MATLAB environment. Therefore, the research has shown that the proposed method enhanced data storage security by effectively addressing security issues.
Randomized Round Crypto Security Encryption Standard for Secure Cloud Storage
Authors: K. Anitha , R. Anto Arockia Rosaline , A. Devipriya , P. Nancy , K. Vijaya
Published: May 2024

Due to the heightened expenses associated with maintaining extensive data storage infrastructure on-premises, many organizations face challenges in accommodating large volumes of data within their facilities. Data outsourcing proves beneficial for users as it alleviates the responsibility of storing and managing the data. While efforts have been made to establish a secure and reliable cloud platform for data storage, persistent concerns linger regarding the confidentiality and integrity of data and applications stored in the cloud. Consequently, there exists a critical necessity to establish a robust security framework for cloud-based data storage. In response to this, a proposal is presented for a secure block-level cloud storage system, leveraging the efficient randomized round encryption protocol for encryption and decryption, ensuring the storage and management of sensitive data in a secure manner.
A Smart Anomaly Detection Method in Cyber Physical Systems Using Machine Learning
Authors: Ramkumar P. , Shadaksharappa B. , Uma R. , Anitha Ruth J. , Valarmathi R.
Published: May 2024

Cyber-Physical systems (CPS) are recognized by a broad range of complicated multi-tasking fixings with good interaction which results in combining cyber areas within the actual physical world. Thinking about the substantial development of cyber physical methods as well as a result of the prevalent utilization of sensible communication and features equipment, brand new issues have emerged. With this regard, a brand new model of CPSs for an intelligent power grid are confronting various vulnerabilities and lots of attacks and threats. Anomaly detection is a crucial information evaluation undertaking as among the techniques for CPSs protection. As various anomaly detection techniques are provided, it's tough to evaluate the pros and cons of the strategies. In this particular chapter machine learning (ML) techniques for detection of anomalies are provided by way of a situation learning that shows the usefulness of machine learning methods at classifying false data injection (FDI) strikes.
Intrusion Detection System in Mobile Networks
Authors: Ramkumar P. , Saravanakumar E. , Uma R. , Mareeswari V. , H. S. Naveen
Published: May 2024

A mobile network is a systematic collection of mobile nodes that process information with one another without the help of another mounted vital arranger. In common usage, a node refers to any electronic device that possesses either the capability or the power to communicate with other electronic devices. If a node wants to connect with other nodes that are located outside of its range of direct verbal communication, it must rely on transitional nodes to pass along its message. The topology of the network will change in a dynamic way over the course of the years as nodes shift in and out of their positions, as a few opportunity nodes detach themselves from the network. The objective of the system has been presented to increase the output, the packet delivery ratio (PDR), and the lifetime of the packets by measuring the Intrusion detection system (IDS) with respect to specific criteria. In this chapter, an intrusion detection system has been discussed in a mobile network environment.
Implementing Intelligent Encryption Using Machine Learning for Digital Information Real-Time Images
Authors: Selvi S. Tamil , P. Visalakshi
Published: May 2024

Improving people's secrecy and data security is the goal of investigating the real-world use of machine learning for intelligent encryption of real-time picture text digital information in the big data domain. In addition, a preprocessing module to an existing convolutional neural network, AlexNet can be built, which helps with the unruly of actual image text data leakage and makes it easier to encrypt this data. A one-dimensional chaotic system called logistic-sine and a multi-dimensional chaotic system called Lorenz generate chaotic sequences that encode the image text. This strikes a balance between security and system responsiveness. This method builds a model for real-time picture text encryption by combining AlexNet with chaotic functions. After that, the model's performance is assessed through a simulation experiment.
Inspirational Women Leaders
Authors: Chanana Nisha
Published: May 2024

Embark on a captivating exploration of the multifaceted achievements of women leaders spanning diverse sectors in this enlightening book chapter. Delving into the realms of business and entrepreneurship, politics and governance, STEM and academia, and arts, media, and culture, the narrative unveils the triumphs and challenges of entrepreneurial trailblazers, innovators disrupting norms, global political leaders shaping policies, grassroots champions effecting community change, STEM luminaries propelling advancements, academic leaders influencing education, and creative visionaries reshaping cultural narratives. This collective panorama illuminates the diverse journeys, strategies, and impacts of women leaders globally, offering profound insights into their transformative roles across industries. As each chapter unfolds, it paints a rich tapestry of resilience, innovation, and determination, underscoring the imperative of diversity and inclusion in reshaping the narrative of leadership.
Equity for the Women in Workplace in Bangladesh
Authors: Khatun Fahmida , Nawrin Nadia , Mahbub Afrin , Islam Marium Binte
Published: May 2024

Despite women's significant strides in leadership roles, their representation remains disproportionately low. This chapter delves into the nuanced comprehension of gender equity within professional workplaces in Bangladesh. The objectives include identifying challenges faced by professional women, assessing unpaid care work, understanding work-life balance, soliciting suggestions from women, and developing policy recommendations. The methodology integrates a comprehensive approach, including literature reviews, primary data analysis through Microsoft forms, key informant interviews (KIIs), and focused group discussions (FGDs). The chapter focuses on Dhaka, involving white-collar workers across various sectors and career levels. It especially highlights challenges faced by female educators, individual barriers hindering career progression, and the lack of female role models in academia. The chapter suggests that through collaborative efforts, workplaces can prioritize inclusivity, equity, and support for all employees, promoting a harmonious work-life balance.
Contrast-induced Nephropathy: Incidence and Reversibility in Patients Undergoing High-risk Percutaneous Coronary Intervention
Authors: Sambyal Bharat Singh , Kansal Vishal , Nayak Akshay Kumar , Chauhan Prabhat , Jeldi Kavya
Published: May 2024

Introduction:

There is a paucity of data regarding contrast-induced nephropathy (CIN) in patients undergoing percutaneous coronary intervention (PCI) from this part of the world. The present study was thus planned to find the incidence and reversibility of CIN in patients undergoing high-risk PCI.

Materials and Methods:

A hospital-based observational study was conducted at the department of cardiology in a tertiary care hospital. The study included 50 consecutive cases undergoing high-risk PCI at the cardiac catheterization laboratory. CIN is characterized as either a relative increase in serum creatinine (S. Cr) of 25% or more or an absolute increase of 0.5 mg/dL or more, occurring within 48 h of exposure to contrast media. This is under the assumption that there are no other factors contributing to the increase in S. Cr.

Results:

The incidence of CIN in cases undergoing high-risk percutaneous interventions was 18% in the present study. On regression analysis, age above 70 years, hypertension and diabetes were identified as significant predictors of the development of CIN in patients undergoing cardiac procedures in the cardiac catheterization laboratory (P < 0.01). All the cases of CIN had a self-limiting course, and none of the cases required renal replacement therapy.

Conclusion:

CIN affects one out of every five to six cases undergoing high-risk PCI; however, almost all cases are reversible. Patients with preexisting comorbidities such as diabetes and hypertension have a significantly increased risk of development of CIN.
Beyond Nonalcoholic Fatty Liver Disease: The Expansive Realm of Metabolic Dysfunction-associated Steatotic Liver Disease
Authors: Samadarshi Samir , Kumar Dharmendra , Manrai Manish , Dawra Saurabh , Srivastava Sharad , Chandra Alok
Published: May 2024

Background:

The Delphi consensus statement has accepted the new fatty liver disease nomenclature. Steatotic liver disease (SLD) is an overarching term that encompasses various etiologies of steatosis. The name chosen to replace nonalcoholic fatty liver disease was metabolic dysfunction-associated SLD (MASLD). Patients having SLD along with underlying cardiometabolic risk factor(s) are labelled as MASLD. We carried out a cross-sectional study of patients with fatty liver visiting the gastroenterology department of a tertiary care hospital to determine the association of cardiometabolic risk factors with significant fibrosis.

Materials and Methods:

In this cross-sectional study, adults with evidence of fatty liver on abdominal ultrasonography with no history of heavy alcohol use were enrolled. Participants with evidence of chronic liver diseases (including chronic hepatitis, autoimmune hepatitis, and drug-induced hepatitis), people living with HIV/AIDS, and those with disseminated or advanced malignancy were excluded. Anthropometric assessment and hematological and biochemical tests were done, and all participants underwent transient elastography of the liver using FibroScan™.

Results:

All 135 patients were classified as MASLD as per the new nomenclature accepted by the Delphi consensus. Body mass index (BMI), waist circumference (WC), serum triglycerides (TG), and high-density lipoprotein (HDL) cholesterol were found to have a significant association with liver stiffness measurement (LSM) (adjusted r
2 0.23, P < 0.001). 32.5% of participants (n = 44) were found to have significant fibrosis on transient elastography. LSM was significantly higher in patients with metabolic syndrome.

Conclusion:

Metabolic syndrome is an important risk factor for significant fibrosis. Among various cardiometabolic risk factors, BMI, WC, and serum TG are associated with higher LSM. HDL levels correlate negatively with LSM. The new nomenclature focuses on these cardiometabolic risk factors and has broader applicability.
Mental Health Status of Caregivers of Persons with Neurological Disability
Authors: Srikanth Pallerla , Nirmala Berigai Parthasarathy
Published: May 2024

Introduction:

Neurological conditions have a long-term impact on the individual and their family and also affect one's general and mental health.

Materials and Methods:

This cross-sectional study aimed to assess the psychological morbidity among 50 primary caregivers of persons with a neurological disability and was conducted using a self-reporting questionnaire.

Results:

Most of them were female (64.0%), and predominantly, the caregiver was mother (50.0%). Most of the caregivers have reported felt nervous, tense, or worried during hospitalization (76.0%); felt unhappy during caregiving (86.0%); and faced difficulty to enjoy daily activities (74.0%). In addition to that, (98.0%) caregiver's have reported that their day to day work suffered, (70.0%) were unable to play a usual part in life.

Conclusion:

The study would highlight the need for screening the mental health of the caregivers of persons with neurological disabilities.
Neuroprotective Effect of Phoenix dactylifera (Date Palm) on Paraquat Triggered Cortico-Nigral Neurotoxicity
Authors: Edobor Hope Dike , Musa Sunday Abraham , Umana Uduak Emmanuel , Oderinde Gbenga Peter , Agbon Abel Nosereme
Published: May 2024

Background:

Herbicides including paraquat (PQ) have been reported to have deleterious effects on biological systems and normal functioning of the brain, especially regions related to motor functionality and coordination like the cerebrum and substantia nigra resulting in neurodegenerative conditions such as Parkinson's disease. Phoenix dactylifera has high nutritional value and is beneficial in the management and treatment of diverse ailments.

Aim:

This study assessed the protective properties of Aqueous fruit extract of P. dactylifera (AFPD) on PQ-triggered cortico-nigral neurotoxicity in rats. Neuroprotective properties of AFPD were assessed using beam walking performance (BWP) for motor coordination, oxidative stress biomarkers (Malondialdehyde [MDA], superoxide dismutase [SOD], and glutathione [GSH]) and histological examination (H and E stained) for cytoarchitectural changes. BWP across the study period revealed no motor coordination deficit with PQ exposure.

Materials and Methods:

Twenty-five rats were categorized into five groups (n = 5); the control was administered 2 ml/kg distilled H2O, another group received 11.35 mg/kg PQ, another received 11.35 mg/kg PQ + 10 mg/kg L-dopa as reference drug, while two other groups received 11.35 mg/kg PQ + 500 mg/kg AFPD and 11.35 mg/kg PQ + 1,000 mg/kg AFPD, respectively, for 28 days.

Results:

PQ-treated group revealed oxidative stress by significant elevation of MDA levels and decrease in antioxidant enzymes (SOD and GSH). Remarkable cytoarchitectural distortions were observed with PQ treatment. However, AFPD treatment showed ameliorative properties by a significant decrease in MDA levels and increased SOD and GSH activities. Mild distortion-to-relatively normal neuronal cytoarchitecture relative to the control was also observed with AFPD treatment.

Conclusion:

AFPD possesses potential neuroprotective properties against PQ-triggered pathological changes in cortico-nigral structures of Wistar rats.