bluuebunny/crossref_metadata_2025 huggingface dataset:
A NIRCam-dark Galaxy Detected with the MIRI/F1000W Filter in the MIDIS/JADES Hubble Ultra Deep Field
Authors: Pérez-González Pablo G. , Rinaldi Pierluigi , Caputi Karina I. , Álvarez-Márquez Javier , Annunziatella Marianna , Langeroodi Danial , Moutard Thibaud , Boogaard Leindert , Iani Edoardo , Melinder Jens , Costantin Luca , Östlin Göran , Colina Luis , Greve Thomas R. , Wright Gillian , Alonso-Herrero Almudena , Bik Arjan , Bosman Sarah E. I. , Crespo Gómez Alejandro , Dicken Daniel , Eckart Andreas , García-Marín Macarena , Gillman Steven , Güdel Manuel , Henning Thomas , Hjorth Jens , Jermann Iris , Labiano Álvaro , Meyer Romain A. , Peiβker Florian , Pye John P. , Ray Thomas P. , Tikkanen Tuomo , Walter Fabian , van der Werf Paul P.
Published: June 2024

We report the discovery of Cerberus, an extremely red object detected with the MIRI Deep Imaging Survey (MIDIS) observations in the F1000W filter of the Hubble Ultra Deep Field. The object is detected at signal-to-noise ratio (S/N) ∼ 6, with F1000W ∼ 27 mag, and undetected in the NIRCam data gathered by the JWST Advanced Deep Extragalactic Survey (JADES), fainter than the 30.0–30.5 mag 5σ detection limits in individual bands, as well as in the MIDIS F560W ultradeep data (∼29 mag, 5σ). Analyzing the spectral energy distribution built with low-S/N (<5) measurements in individual optical-to-mid-infrared filters and higher-S/N (≳5) measurements in stacked NIRCam data, we discuss the possible nature of this red NIRCam-dark source using a battery of codes. We discard the possibility of Cerberus being a solar system body based on the <0.″016 proper motion in the 1 yr apart JADES and MIDIS observations. A substellar Galactic nature is deemed unlikely, given that the Cerberus’s relatively flat NIRCam-to-NIRCam and very red NIRCam-to-MIRI flux ratios are not consistent with any brown dwarf model. The extragalactic nature of Cerberus offers three possibilities: (1) a z ∼ 0.4 galaxy with strong emission from polycyclic aromatic hydrocarbons—the very low inferred stellar mass, M
⋆ = 105–106
M
⊙, makes this possibility highly improbable; (2) a dusty galaxy at z ∼ 4 with an inferred stellar mass M
⋆ ∼ 108
M
⊙; and (3) a galaxy with observational properties similar to those of the reddest little red dots discovered around z ∼ 7, but Cerberus lying at z ∼ 15, with the rest-frame optical dominated by emission from a dusty torus or a dusty starburst.
Absorption in the Spectrum of a Background AGN by C ii* by the Supernova Remnant G354-33
Authors: Raymond John C. , Griscom Connor
Published: June 2024

A number of very large, very faint supernova remnants (SNRs) have been discovered in the past few years. Those in the Galactic halo occur in low density gas, so they might be more easily observed in absorption than in emission. The SNR G354-33 is a shell of faint UV and optical filaments about 10° in diameter. Here we point out that a spectrum of the QSO J2017-4516 used study the galaxy cluster J2016-4517 shows an absorption line from the excited fine structure level of C ii at −50 km s−1. Absorption features of Si ii and Si iii are also seen at this velocity. The observed column density compares well with shock wave models. Doppler shifted C ii* absorption features provide an excellent means to find and characterize SNR shocks because they arise from compressed gas.
Einasto Gravitational Potentials have Difficulty to Hold Spherically Symmetric Stellar Systems with Cores
Authors: Sánchez Almeida Jorge
Published: June 2024

It was known that an ideal spherically symmetric stellar system with isotropic velocities and an inner core cannot reside in a Navarro, Frenk, and White (NFW) gravitational potential. The incompatibility can be pinned down to the radial gradient of the NFW potential in the very center of the system, which differs from zero. The gradient is identically zero in an Einasto potential, also an alternative representation of the dark matter (DM) halos created by the kind of cold DM defining the current cosmological model. Here we show that, despite the inner gradient being zero, stellar cores are also inconsistent with Einasto potentials. This result may have implications to constrain the nature of DM through interpreting the stellar cores often observed in dwarf galaxies.
Lattice radiotherapy in inflammatory breast cancer: report of a first case treated with curative aim
Authors: Parisi Silvana , Sciacca Miriam , Critelli Paola , Ferrantelli Giacomo , Chillari Federico , Venuti Valeria , Napoli Claudio , Shteiwi Issa , Siragusa Carmelo , Brogna Anna , Pontoriero Antonio , Ferini Gianluca , Santacaterina Anna , Pergolizzi Stefano
Published: June 2024

Inflammatory breast cancer (IBC) is a rare, aggressive form of breast cancer characterized by poor prognosis. The treatment requires a multidisciplinary approach, with neoadjuvant chemotherapy, surgery, and radiation therapy (RT). Particularly, high doses of conventional RT have been historically delivered in the adjuvant setting after chemotherapy and mastectomy or as radical treatment in patients ineligible for surgery. Here, we report the case of a 49-year-old woman patient with IBC unsuitable for surgery and treated with a combination of lattice RT and fractionated external beam RT concurrent with trastuzumab, with a curative aim. One year after RT, the patient showed a complete response and tolerable toxicities. This is the first reported case of a not-operable IBC patient treated with this particular kind of RT.
Development and validation of a rapid, simple, and reliable UPLC-MS/MS method for the quantification of vancomycin in human plasma
Authors: Do Chau Minh Vinh Tho , Nguyen Thanh Sil , To Bich Tram , Le Thi Diem Tien , Huynh Huynh Anh Thi , Ngoc Do Tuyen
Published: June 2024

Vancomycin is a critical antibiotic frequently utilized in clinical settings, with therapeutic drug monitoring (TDM) strongly advised to optimize treatment efficacy and mitigate the risk of adverse effects. However, current methods for measuring vancomycin levels in human plasma are hindered by long analysis times and complicated sample preparations. Thus, this study developed and validated a novel UPLC-MS/MS method for a rapid (with a running time of 3.5 min) and simple analysis of plasma vancomycin. To quantify vancomycin concentration in human plasma, we have developed and validated the UPLC-MS/MS method with high sensitivity, specificity, and accuracy, meeting the strict criteria according to the Food and Drugs Administration (FDA) guidelines for validation biological analysis methods. Vancomycin and atenolol (internal standard) underwent positive electrospray ionization (ESI+) and detection in multi-reaction monitoring (MRM) mode. The selected MRM transitions were m/z 725.66→144.16 for vancomycin and m/z 267.29→189.96 for atenolol. Plasma samples were precipitated using a simple mixture containing acetonitrile, methanol, and formic acid as a pH adjuster. The separation was performed using the Poroshell 120 Phenyl Hexyl Column (4.6 × 150 mm, 2.7 μm) maintained at 25 °C for 3.5 min. Isocratic elution with a mobile phase (methanol and 0.1% formic acid in a 40:60 v/v ratio) at a flow rate of 0.5 mL/min was employed. The method showed linearity (0.1–75 μg/mL) with a coefficient of determination above 0.9994 and a lower limit of quantification at 0.1 μg/mL. Precision, both intraday and interday, was below 10%, and accuracy ranged from 91.70% to 111.57%. System suitability, selectivity, stability, carryover, dilution, recovery, and matrix effect validation results all met acceptable criteria. The established UPLC-MS/MS method is expected to be a rapid, simple, and reliable tool for drug monitoring and pharmacokinetic studies, enhancing patient care during vancomycin administration.
Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques
Authors: Ballester Cristina , Furió Dolores
Published: June 2024

The integration of renewable generation sources into wholesale electricity markets is expected to reduce day-ahead marginal prices. This effect has been widely evidenced by previous literature and is commonly referred to as the merit order effect. However, the factors influencing the components of final prices, other than the day-ahead market price, have not been subjected to as much study. Nevertheless, they may prove crucial in understanding the dynamics between the interrelated trading segments in the wholesale electricity market. Furthermore, in the context of the energy transition process, the penetration of intermittent renewable energy sources (mainly wind and solar photovoltaic) and the non-storability of electricity at a large scale may result in increased market balancing needs and costs. The objective of this study was to identify the primary drivers of final wholesale electricity prices in the Iberian electricity market, apart from the day-ahead market price, using machine learning techniques. The results indicate that the share of renewable generation in the day-ahead market is a significant factor influencing both the cost of managing technical constraints, which aims to address network capacity issues, and the cost of managing balancing processes and resolving adjustment issues by the TSO. However, both of these costs can be readily accommodated by the market, as they represent a minimal percentage of the final price. These findings are of interest to both practitioners and regulators, as they provide a better understanding of the functioning of the market and have implications for the restructuring of the market towards a more sustainable and competitive electricity system.
Practical generalized finite-time synchronization of duplex networks with quantized and delayed couplings via intermittent control
Authors: Yang Ting , Cao Li , Zhang Wanli
Published: June 2024

This paper investigates the practical generalized finite-time synchronization (PGFETS) of duplex networks with quantized and delayed couplings. Given that continuous transmission of signals will increase the load and cost of communication, we introduce quantized couplings in the model. Then, via the theorem of finite-time stability, the PGFETS is proposed based on the fact that PGFETS is much more extensive and practical than classical finite-time synchronization. Some sufficient criteria are formulated to achieve the goal of synchronization by utilizing quantized intermittent control schemes. Lastly, the validity of the theoretical results is illustrated by numerical simulations.
On strong geodeticity in the lexicographic product of graphs
Authors: Gajavalli S. , Berin Greeni A.
Published: June 2024

The strong geodetic number of a graph and its edge counterpart are recent variations of the pioneering geodetic number problem. Covering every vertex and edge of $ G $, respectively, using a minimum number of vertices and the geodesics connecting them, while ensuring that one geodesic is fixed between each pair of these vertices, is the objective of the strong geodetic number problem and its edge version. This paper investigates the strong geodetic number of the lexicographic product involving graph classes that include complete graph $ K_{m} $, path $ P_{m} $, cycle $ C_{m} $ and star $ K_{1, \, m} $ paired with $ P_{n} $ and with $ C_{n} $. Furthermore, the parameter is studied in the lexicographic product of, arbitrary trees with diameter-2 graphs whose geodetic number is equal to 2, $ K_{n}-e $ with $ K_{2} $ and their converses. Upper and lower bounds for the parameter are established for the lexicographic product of general graphs and in addition, the edge variant of the aforementioned problem is studied in certain lexicographic products. The strong geodetic parameters considered in this paper have pivotal applications in social network problems, thereby making them indispensable in the realm of graph theoretical research. This work contributes to the expansion of the current state of research pertaining to strong geodetic parameters in product graphs.
Unveiling solitons and dynamic patterns for a (3+1)-dimensional model describing nonlinear wave motion
Authors: Riaz Muhammad Bilal , Kazmi Syeda Sarwat , Jhangeer Adil , Martinovic Jan
Published: June 2024

In this study, the underlying traits of the new wave equation in extended (3+1) dimensions, utilized in the field of plasma physics and fluids to comprehend nonlinear wave scenarios in various physical systems, were explored. Furthermore, this investigation enhanced comprehension of the characteristics of nonlinear waves present in seas and oceans. The analytical solutions of models under consideration were retrieved using the sub-equation approach and Sardar sub-equation approach. A diverse range of solitons, including bright, dark, combined dark-bright, and periodic singular solitons, was made available through the proposed methods. These solutions were illustrated through visual depictions utilizing 2D, 3D, and density plots with carefully chosen parameters. Subsequently, an analysis of the dynamical nature of the model was undertaken, encompassing various aspects such as bifurcation, chaos, and sensitivity. Bifurcation analysis was conducted via phase portraits at critical points, revealing the system's transition dynamics. Introducing an external periodic force induced chaotic phenomena in the dynamical system, which were visualized through time plots, two-dimensional plots, three-dimensional plots, and the presentation of Lyapunov exponents. Furthermore, the sensitivity analysis of the investigated model was executed utilizing the Runge-Kutta method. The obtained findings indicated the efficacy of the presented approaches for analyzing phase portraits and solitons over a wider range of nonlinear systems.
Inference of stress-strength reliability based on adaptive progressive type-Ⅱ censing from Chen distribution with application to carbon fiber data
Authors: Ahmed Essam A. , Al-Essa Laila A.
Published: June 2024

In this paper, we used the maximum likelihood estimation (MLE) and the Bayes methods to perform estimation procedures for the reliability of stress-strength $ R = P(Y < X) $ based on independent adaptive progressive censored samples that were taken from the Chen distribution. An approximate confidence interval of $ R $ was constructed using a variety of classical techniques, such as the normal approximation of the MLE, the normal approximation of the log-transformed MLE, and the percentile bootstrap (Boot-p) procedure. Additionally, the asymptotic distribution theory and delta approach were used to generate the approximate confidence interval. Further, the Bayesian estimation of $ R $ was obtained based on the balanced loss function, which came in two versions here, the symmetric balanced squared error (BSE) loss function and the asymmetric balanced linear exponential (BLINEX) loss function. When estimating $ R $ using the Bayesian approach, all the unknown parameters of the Chen distribution were assumed to be independently distributed and to have informative gamma priors. Additionally, a mixture of Gibbs sampling algorithm and Metropolis-Hastings algorithm was used to compute the Bayes estimate of $ R $ and the associated highest posterior density credible interval. In the end, simulation research was used to assess the general overall performance of the proposed estimators and a real dataset was provided to exemplify the theoretical results.
Les défis de l’enseignement de la danse à distance : entre absurdité et opportunité
Authors: Papi Cathia , Dugré Geneviève
Published: June 2024

Cet article porte sur le développement des cours de danse de loisir à distance durant la pandémie. Les recherches dans le domaine et les entretiens menés avec 34 professeurs de danse mettent en évidence que former à la danse à distance soulève un grand nombre de défis, au point qu’il est possible de se demander s’il est pertinent d’enseigner la danse à distance. Tandis que pour quelques professeurs enseigner une danse à distance semble absurde tant cette activité implique un contact humain, notamment pour les danses de couple, pour d’autres, cette pratique a été l’occasion de développer certains aspects de leurs enseignements, de maintenir provisoirement les liens avec leurs apprenants, voire de se perfectionner avec les cours à distance diffusés par d’autres artistes partout dans le monde. Cependant, de l’impossibilité de toucher autrui au manque d’espace à domicile, de la confusion des repères spatiaux aux décalages sonores, les professeurs de danse qui souhaitent enseigner à distance ont dû repenser leurs cours et adapter leurs pratiques à ce mode de formation.
Approches des mécanismes psychologiques et sociaux du divorce de parents d’enfants handicapés : étude de cas
Authors: Kellou Nassima , Mimouni Badra Moutassem
Published: June 2024

Élever un enfant handicapé avec troubles du spectre autistique (TSA) est une épreuve difficile pour les parents et leur impose des défis au quotidien. Le handicap grave de l’enfant constitue pour les parents un lourd fardeau physique, mental, psychologique et social. Comment faire face à la blessure narcissique et au regard stigmatisant de l’autre ? Dans cet article, nous allons montrer, à travers l’étude de deux familles comme cas cliniques, comment le handicap va user les forces et la patience des parents et désorganiser la relation de couple. La blessure narcissique, la culpabilité et la stigmatisation sont des mécanismes psychologiques et sociaux qui vont parfois déséquilibrer la relation de couple et mener jusqu’au divorce.
Cassiodore, professeur de dialectique dans le Commentaire sur les Psaumes.
Authors: Ferré Michel
Published: June 2024

Après avoir été démis des fonctions administratives qu’il a exercées longtemps auprès des rois ostrogoths, Cassiodore (vie s.) a réservé ses écrits aux membres du célèbre monastère qu’il a fondé à Vivarium. Dans sa monumentale Expositio Psalmorum destinée aux novices, il a voulu non seulement faire l’exégèse du texte biblique mais aussi apporter à ses lecteurs les rudiments des arts libéraux, notamment ceux de la dialectique (ou logique). Cet article a pour objet de montrer comment Cassiodore, se plaçant sous le patronage d’Augustin, conçoit l’orthodoxie de l’étude de la dialectique, puis par quels procédés pédago­giques il fait passer son enseignement. Vient ensuite l’étude de la syllogistique catégorique et de la syllogistique hypothétique à travers l’application qu’en fait Cassiodore dans son commentaire. Une attention particulière est portée pour finir à la rigoureuse démonstration donnée par Cassiodore concernant la fameuse querelle théologique des Trois Chapitres. Les lieux dialectiques de l’Ex­positio montrent le caractère artificiel de cette tentative de réconciliation de la cul­ture profane et du commentaire biblique. Le meilleur de l’entreprise de Cassio­dore reste l’enthousiasme de son auteur.
Les lieux de privation de liberté, des lieux politiques (XIXe-XXe siècles) : introduction
Authors: Launay Maxime , Rosell Léo , Sambuis Yann
Published: June 2024

L’approche par les lieux, souvent délaissée pas l’histoire politique à l’exception des lieux de pouvoir, offre pourtant des perspectives heuristiques fécondes. Propice au changement d’échelle et aux approches transdisciplinaires, elle a ainsi connu un regain d’intérêt depuis quelques années, plusieurs travaux interrogeant différents lieux du politique. Les lieux de détention, d’enfermement et de privation de liberté appartiennent indéniablement à cette catégorie. Au croisement d’enjeux qui intéressent tant le pouvoir politique que la politique au sens de lutte concurrentielle pour la conquête et la conservation de ce pouvoir, ces lieux recouvrent une large variété de réalités, des bastilles politiques à proprement parler aux bagnes coloniaux, aux prisons militaires ou aux lieux de résidence surveillée des opposants à un régime. Ils sont ainsi l’objet d’un renouvellement historiographique qui place au cœur de l’étude le lieu de la privation de libertés. Ce texte introductif entend revenir sur les enjeux épistémologiques autour du concept de lieu, de son investissement par l’histoire politique et de l’objet singulier que forment les lieux de privation de liberté.
La société d’économie politique de Lyon (1859-1929) : itinéraire d’un groupe d’influence représentatif du libéralisme anglophile français
Authors: Andriot Antonin
Published: June 2024

Fondée en 1866, la Société d’économie politique de Lyon est la deuxième du genre après celle de Paris en 1841. Rassemblant dès ses origines l’essentiel des milieux d’affaires du Rhône, notamment dans les milieux de la banque et de la soierie, ses membres se donnent pour tâche de promouvoir le libéralisme économique et plus particulièrement le libre-échange, afin de développer les échanges commerciaux de leur ville. Très vite, compte tenu des atouts industriels lyonnais, les ambitions deviennent nationales et internationales, et les personnages les plus influents de la région comme Henri Germain, Édouard Aynard ou Auguste Isaac s’investissent pour renforcer les liens avec le voisin britannique. Par intérêt commercial mais aussi par sympathie libérale, la société d’économie politique de Lyon va pour longtemps devenir un bastion de l’anglophilie en France, enviant la politique douanière britannique, copiant la politique sociale du Royaume-Uni et poussant à faire des deux pays des partenaires incontournables.
De la révocation à la déportation : Édouard Herriot, un parcours de privation de libertés (1940-1945)
Authors: Sambuis Yann
Published: June 2024

Le 10 juillet 1940, Édouard Herriot, qui avait pesé de tout son poids politique pour tenter d’empêcher le recours à Pétain, fait le choix de l’abstention. Désormais président d’une Chambre fantôme, il est révoqué de son mandat de maire de Lyon le 20 septembre 1940 et condamné à une quasi-impuissance politique. Sa volonté affirmée de défendre malgré tout l’institution parlementaire et les principes républicains est à l’origine d’un processus de privation progressive de libertés qui aboutit à sa déportation en Allemagne. D’abord retiré volontairement dans sa résidence iséroise de Brotel jusqu’en 1942, il mène avec Jules Jeanneney, le président du Sénat une « résistance légale » et manifeste publiquement son opposition au régime, conduisant les autorités de Vichy à l’assigner officiellement à résidence, avant de le faire arrêter et incarcérer à Évaux-les-Bains (Creuse), puis de le remettre aux autorités allemandes. Détenu par la Gestapo en Lorraine, il est déporté en 1944 dans un sanatorium proche de Potsdam. Cette itinérance carcérale typique des parlementaires républicains emprisonnés par Vichy se double d’un processus de privation graduelle des libertés politiques et civiques. Cet itinéraire original est analysé en suivant deux axes. Le lien de causalité entre l’activité politique maintenue par Herriot et la privation progressive de ses libertés est interrogé afin de déterminer dans quelle mesure la « résistance passive » d’Édouard Herriot est à l’origine de son arrestation puis de sa déportation. La correspondance entre itinérance carcérale et parcours de privation des libertés permet de mettre en lumière l’utilisation de l’incertitude géographique et de sa mise en scène par le système répressif vichyste.
« Biribi en Savoie » : la fin du dernier bagne de l’armée française (Fort d’Aiton, 1972)
Authors: Launay Maxime
Published: June 2024

Bien des lignes ont été écrites sur l’histoire des bagnes que l’armée française avait organisés en Afrique du Nord pour punir les « fortes têtes » entre 1830 et 1962. On sait moins que le dernier avatar de cet « archipel punitif », analysé par Dominique Kalifa dans son ouvrage Biribi, se trouvait en Savoie et qu’il n’a fermé qu’en 1972. Pendant dix ans, c’est dans un fort discret et austère, à Aiton, que sont enfermés par mesure disciplinaire les hommes du rang des trois armées. Un régime d’exception y a cours : hérité du temps des colonies, il trahit un mépris de la dignité humaine. Cet article se propose de comprendre comment, dans le contexte de l’après Mai 68, le pénitencier militaire du fort d’Aiton devient un lieu politique. Les soldats qui y sont envoyés, qu’ils soient condamnés par un tribunal ou sanctionnés sur le plan disciplinaire, constituent aux yeux de l’administration un danger pour la valeur morale du corps de troupe. Cependant, la mise à l’agenda de l’armée et de sa juridiction d’exception comme « problème public » au début des années 1970 incite la société à jeter un autre regard sur cette institution disciplinaire devenue scandaleuse, l’inscrivant dans un combat séculaire contre les procédures d’exception. Cette mobilisation conduit in fine à la fin du dernier bagne de l’armée française en 1972.
Les députés du PCF privés de leur liberté (1939-1943) : la prison comme lieu politique
Authors: Gouven Florent , Rosell Léo
Published: June 2024

Souvent présentée comme un monde hermétique aux situations de rupture politique majeure, la prison serait une institution punitive par essence immobile. Notre article propose d’historiciser l’univers carcéral en étudiant les caractéristiques de l’internement des députés du Parti communiste français (PCF) entre octobre 1939 et février 1943. La question de l’enfermement de ces parlementaires en contexte de guerre permet d’explorer les logiques répressives successives de l’appareil d’État, le positionnement idéologique de l’organisation partisane et le vécu des détenus. La prison semble doublement apparaître comme un lieu politique. Elle se révèle être, d’une part, un espace où s’affrontent des stratégies politiques duales : si les pouvoirs publics usent de l’internement pour mettre à l’index des opposants, le mouvement communiste en fait un champ d’action pour défendre dès l’automne 1939 son orientation dite de « guerre impérialiste ». D’autre part, malgré les difficultés de leur quotidien carcéral, les députés emprisonnés conçoivent leur incarcération comme le temps d’une activité militante singulière. Sur le versant archivistique, notre analyse mobilise à la fois les sources de la répression étatique, les documents internes au PCF et des « ego-documents » – tels que les carnets et les lettres écrits en prison –, ainsi que des récits et des souvenirs de la détention.
HYBRID OPTIMIZATION-ENABLED FUNCTIONAL CONNECTIVITY-BASED PIVOTAL REGION EXTRACTION AND TRANSFER LEARNING FOR AUTISM SPECTRUM DISORDER DETECTION
Authors: Kavitha Nair R. , Ranjana P.
Published: June 2024

Autism Spectrum Disorder (ASD) is a neuro development-based disability caused by variations in the brain which occur during the early stages of human life. This may cause impact on social skills and communication of an individual. Autism is a highly challenging issue to diagnose at the early stages. ASD is one of the important problems to diagnose because it starts manifesting at low ages. However, diagnosing ASD is difficult due to its complex symptoms as well as an inadequate number of neurobiological indications. This paper aims to detect ASD based on pivotal region extraction and Feedback-Henry Jellyfish Optimization-Convolution Neural Network with Transfer Learning (FHJO_CNN with TL) is developed in this work. Here, an autistic brain image is acquired from the data sample and it is fed to the pre-processing stage. By utilizing the Kalman filter and Region of Interest (RoI), selection pre-processing is done. After that, functional connectivity-based pivotal region extraction is performed based on the proposed FHJO, where the FHJO is an incorporation of Feedback-Henry Gas Optimization (FHGO) and Jelly Fish (JS) algorithms, where, FHGO is the combination of Henry Gas Solubility Optimization (HGSO), and Feedback Artificial Tree (FAT) algorithm. Thereafter in feature extraction, features like Local Binary Pattern (LBP), and Speeded Up Robust Features (SURF), statistical features are excerpted. Finally, ASD classification is done utilizing the proposed FHJO_CNN with TL. The performance of the proposed method is evaluated using the ACERTA-ABIDE dataset and the evaluation reveals that FHJO_CNN with TL attained values of accuracy, sensitivity and specificity which are 94.08%, 95.09%, and 93.59% respectively.
Drone Swarms in Industry 5.0
Authors: Ranjan Chikesh , Chakraborty Bipllab , Srinivas J. , Kumar Kaushik
Published: June 2024

The integration of drone swarms in Industry 5.0 marks a significant advancement in industrial automation and optimization. This chapter explores the typical applications of drone swarms within Industry 5.0, emphasizing their transformative impact across various sectors. In manufacturing, drone swarms facilitate efficient inventory management, autonomous inspections, and streamlined logistics, enhancing operational efficiency and productivity. In agriculture, they enable precision farming practices through aerial imaging, crop monitoring, and targeted interventions. In construction, drone swarms play a crucial role in site mapping, progress monitoring, and safety inspections, revolutionizing project management and ensuring worker safety. Moreover, in transportation and logistics, drone swarms offer innovative solutions for last-mile delivery, warehouse management, and traffic monitoring, contributing to the seamless integration of Industry 5.0 principles.
Challenges and Innovations in YOLO-Based Drone Detection for the Industry 5.0 Revolution
Authors: Dankan Gowda V. , Jagtap Madan Mohanrao , Tarambale Manoj , Prasad K. D. V. , Rayar Vijay
Published: June 2024

The Industry 5.0 revolution emerges as an amalgamation of advanced technological systems with human touch onset. In this transformative time, drone technologies have become essential pieces for varied uses and their detection poses a reliable identification. Several challenges that arise when implementing YOLO-based models for drone detection are thoroughly analyzed in this chapter. It clarifies the advanced innovations that got introduced to address these challenges making effective drone detection in the framework of Industry 5.0. By studying practical cases, innovations in deep learning and YOLO models' adaptability, the chapter provides an overview of the present situation and potential future for drone detection as we move into a new stage of industrial progress.
Advancing Drone Communication Frameworks With Blockchain in Industry 5.0 Applications
Authors: Dankan Gowda V. , Kauser S. K. Heena , Shaik Nazeer , Prasad K. D. V. , Bhardwaj Ravindra
Published: June 2024

In Industry 5.0 a number of technological developments are seen to support human-machine collaboration. This evolution is central to the inclusion of drones, which are increasingly becoming irreplaceable resources in multiple industrial fields. The ability to communicate well and securely is vital for them. This chapter explores the revolutionary frameworks that utilize the power of blockchain technology to improve drone communication in the scope of Industry 5.0 applications. By investigating the operational structure of blockchain, its built-in security provisions and how it effectively fits with drone networks, a thorough comprehension of its underlying influence in drone communications is developed. Real-world examples and case studies also help to illuminate the practicalities and advantages of these frameworks, taking a look at how interconnected aerial systems in Industry 5.0 will evolve from here on out.
Drones in Health
Authors: Bhandari Dibash , Arun Kumar D. T. , Sharath P. C.
Published: June 2024

A drone is a compact flying robot that can be designed to fly automatically as well as remotely controlled. Unmanned aerial vehicles (UAVs) are drones that were first developed for military use in the early 20th century They were primarily used for functions such as target practice, surveillance, and explosives delivery. . Drones have proven invaluable in rapidly delivering critical medical supplies such as drugs, vaccines and life-saving organs to remote areas with limited access to healthcare. This capability can be used to improve the lack of access to health services, especially in remote areas, and to provide immediate assistance in emergencies and disaster relief operations. This study covers the various roles of drones in healthcare, focusing on their use in emergency situations, supporting telemedicine, delivering medical supplies and monitoring public health. Drones have played an important role in solving health care problems by providing remote consultations, improving the transportation of essential medical supplies and assisting in disaster relief.
Environmental Monitoring and Conservation Using Drones
Authors: Raj E. Fantin Irudaya , Manimala K. , Rani E. Francy Irudaya , Darwin S.
Published: June 2024

Environmental monitoring and conservation are critical to safeguarding our planet's fragile ecosystems and natural resources. In recent years, the integration of drone technology has revolutionized these efforts, providing an efficient and versatile means of data collection and analysis. This chapter delves into the multifaceted landscape of environmental monitoring and conservation using drones, offering a comprehensive exploration of the technology's applications, benefits, challenges, and prospects. Their deployment has led to groundbreaking advancements in various domains, including wildlife preservation, forest management, air and water quality assessment, and disaster response. The present chapter addresses these challenges and offers insights into potential solutions. It also delves into the intricacies of drone technologies, from sensor payloads to data analysis techniques, highlighting their pivotal role in achieving meaningful environmental insights.
Navigating Environmental Behaviour
Authors: Sailesh Bhaskar , Reddy Kiran
Published: June 2024

Tourists are pivotal in steering the sustainable trajectory of destinations, given their significant impact on growth and development through environmental behavior. The rise of regenerative tourism accentuates the imperative of responsible environmental conduct for ensuring positive outcomes in travel experiences. Environmental behavior of tourists is complex, shaped by attitudes, perceptions, and awareness. Globally, inadequate environmental behavior poses dire consequences for tourism destinations, leading to their deterioration. This not only influences tourists' preferences towards sustainable destinations but also burdens tourism businesses and local communities, limiting their options. This chapter delves into regenerative tourism principles, scrutinizes environmental behavior intricacies, and explores challenges and opportunities in fostering responsible conduct within regenerative tourism.
Sustainable Bytes
Authors: Al-Romeedy Bassam Samir
Published: June 2024

In this chapter, the authors delve into the significance of digital literacy and skills within the tourism sector, specifically focusing on their role in advancing sustainable tourism practices. They explore how digital literacy and skills play pivotal roles in the industry and shed light on the challenges associated with attaining and effectively employing these competencies. Additionally, the chapter underscores the implications of integrating digital literacy and skills into sustainable tourism strategies, policies, and educational initiatives. These implications hold practical significance for a range of stakeholders in the tourism sector, including policymakers, educators, and professionals. By acknowledging the importance of digital literacy and skills, stakeholders can devise strategies and policies conducive to incorporating these proficiencies into sustainable tourism practices, ultimately leading to improved sustainability outcomes in the industry.
Effect of Psychological Pricing on Consumer Buying Behaviour
Authors: Roy Srijaa
Published: June 2024

Consumer behaviour is a topic most sought after when it comes to creating successful marketing practices that affect consumers' psychology, acting as a stimulus and inducing them to make purchases. Evidence explains that the psychological pricing strategy communicates with the subconscious mind of consumers, creating a perceptual illusion. This makes the deal seem more appealing to them. This chapter entails a practical study examining the impact of psychological pricing strategies on consumers' buying behaviour. This study has used authentic primary data that has been collected directly from consumers in India based on their buying experiences when encountering psychological pricing. The findings of this research show how socio-demographic factors like age, income, education, gender and family size influence consumers' buying behaviour when encountered with psychological pricing and if psychological patterns such as the anchoring heuristics, recency bias, scarcity effect and halo effect can overpower the influence of psychological pricing strategies in consumer buying behaviour.
Leveraging Marketing Strategies to Help Consumers Make Decisions Using Metaverse Technologies
Authors: Tarnanidis Theodore , Gkiouzepas Lampros
Published: June 2024

Metaverse technologies have become ground-breaking tools, changing the way businesses interact with consumers and analyze their behavior. This research examines innovative Metaverse marketing strategies that focus on enhancing customer experiences and comprehending consumer behavior through cutting-edge technologies, platforms, and models. Businesses can create interactive and realistic experiences for their clients in a vibrant and immersive setting provided by the Metaverse. Companies can create virtual storefronts by utilizing VR and AR technologies, allowing customers to explore products and services in visually compelling ways. The chapter provides a summary of the origins of the metaverse in marketing, with further explanations about the immersive technologies employed in the creation of marketing strategies. The main trends and their implications are presented, along with a discussion of the current state of the art research in marketing, which was originally developed by the ‘father of modern marketing,' Philip Kotler.
Role of Youtube and Instagram Advertising in Attracting Gen-Z Consumers in Delhi-NCR
Authors: Dutta Sarthak Kumar , Manna Supriyo
Published: June 2024

Similar to a rising global trend, Gen-Z consumers in Delhi-NCR are spending more time on social media sites such as YouTube and Instagram. Understanding how advertising on these sites affects their purchasing decisions is critical. This study investigates the influence of YouTube and Instagram advertising in recruiting Generation Z customers. Based on a recent study that highlighted entertainment, informativeness, customization, and irritation as important elements impacting advertising value on YouTube, this chapter analyzes how these features influence brand awareness and purchase intention among Gen-Z consumers in Delhi-NCR. The study predicts that, like YouTube, Instagram commercials that are entertaining, informative, and personalized will be more effective in attracting Gen-Z customers. In contrast, irritating advertisements will have a negative influence. By evaluating these aspects, the study provides useful insights for marketers looking to use YouTube and Instagram advertising to effectively attract Gen-Z consumers in Delhi-NCR.
Future Nano and Biorobots Miniaturized Machines for Biotechnology and Beyond
Authors: Choubey Abhishek , Choubey Shruti Bhargava
Published: June 2024

Biorobotics and nanobots represent a cutting-edge area of biotechnology with tremendous promise to transform scientific research, environmental monitoring, and healthcare delivery. In this chapter, the authors explore their cutting-edge ideas, applications, and advances, showing their ability to radically change future industries like industry medicine. This chapter's primary objective is to explore both existing and emerging applications of bio-robots and nanobots in healthcare, environmental monitoring, environmental inspection, and materials science research. These technological advancements offer real-time diagnostics, minimally invasive surgery, and targeted drug delivery as well as environmental quality evaluation through bio-robot water quality evaluation and nanobot pollution detection at unprecedented scales. Furthermore, bio-robots and nanobots have proven invaluable for scientific study fields like neuroscience, synthetic biology, and materials science.
Predictive Modelling for Employee Retention
Authors: Thaiyub Ahamed , Ramakrishnan Akshay Bhuvaneswari , Vasudevan Shriram Kris , Murugesh T. S. , Pulari Sini Raj
Published: June 2024

Organizations face enormous issues when it comes to employee turnover, which is why they need to develop accurate predictive models for retention. The purpose of this chapter is to present a three-tiered machine learning approach for predicting employee turnover that makes use of resume parsing, performance analysis, and advanced algorithms. In addition, the authors make use of Intel oneAPI, which is a unified programming model that is increasingly becoming the industry standard, in order to improve the scalability and performance of the solution. The system that is offered delivers full HR (human resource) analytics, which enables firms to make educated decisions regarding recruiting and retention tactics. The results of the experimental evaluation show that the solution is effective in providing an accurate forecast of attrition, which paves the way for proactive retention measures. The approach enhances system performance by utilizing oneAPI, which in turn ensures that it is scalable over a variety of different hardware architectures.
To compare the detection of S. aureus carriage in Healthcare Workers of Pediatric Intensive Care Units using Robertson’s Cooked Meat medium with and without 10% NaCl
Authors: Sharma Ravita , Agrawal Gopal , Rahangdale Hina , Shrikhande Sunanda
Published: June 2024

Background: about 20% of the world’s population has been colonized by Staphilococcus aureus in the long term. Nasal carriage of S. aureus is an important risk factor for sepsis. In most cases, asymptomatic colonized Healthcare Workers (HCWs) can serve as reservoirs of infection for spreading S. aureus strains to susceptible patients. Aims: detecting S. aureus carriage in hospital staff working in Neonatal (NICU) and Pediatric Intensive Care Unit (PICU) in a tertiary care hospital. Materials and Methods: swabs from the anterior nares and web spaces of both hands of HCWs were processed. Swabs were cultured on Mannitol Salt Agar (MSA) with & without enrichment by RCM with 10% NaCl. After incubating for 48 hours, subculture from RCM was done on MSA. S. aureus was identified using standard microbiological techniques. The antimicrobial susceptibility testing was carried out as per Clinical and Laboratory Standards Institute (CLSI) 2024 guidelines. Results: S. aureus carriage rate was 18.8%. The carriage was higher in males than in females. It was higher in residents (38.1%) than in nursing staff (5.6%). Higher isolation of S. aureus was observed after enrichment with 10% NaCl. Methicillin resistance was as high as 77.8% in S. aureus isolates from HCW carriers. All isolates were found sensitive to mupirocin. Conclusions: to monitor the carriage of S. aureus in HCWs, RCM with 10% NaCl should always be used along with MSA. Eighteen point eight percent of HCWs in this study were found to be carriers of S. aureus. The study emphasizes the need for regular surveillance of HCWs. Methicillin resistance was very high (77.8%). Healthcare centers are supposed to monitor patients continuously and provide proper treatment.
Cross-cultural adaptation, reliability, and validity of the Turkish version of the Exercise Therapy Burden Questionnaire for individuals with chronic diseases
Authors: Sari F. , Sari S.
Published: June 2024

Objective. Chronic diseases, which caused 36 million deaths in 2008, are the most common cause of death worldwide. Exercise is one of the non-pharmacological treatment methods. Although exercise benefits are well known, more than half of the population does not exercise due to the burden of exercise. The objectives of the current study were to evaluate the Turkish version of the Exercise Therapy Burden Questionnaire (ETBQ-T) and to investigate its reliability and validity.
Methods. A total of 100 participants (female: 69, male: 31) who were diagnosed with at least one chronic disease participated in the translation validity and reliability analysis of the study. Cross-cultural adaptation of the ETBQ-T was performed according to Beaton’s guidelines. The ETBQ-T, the European Quality of Life 5 Dimensions (EQ-5D), pain, satisfaction, and self-efficacy were applied for convergent validity. The ETBQ-T was retested to examine its reliability after 7 days.
Results. The internal consistency and reliability were excellent (intraclass correlation coefficient=0.959; Cronbach’s α=0.919). The standard error of measurement was reported as 5.35. The minimum detectable difference was also demonstrated at 1.35. The ETBQ-T had a good correlation with pain (r=0.545, p<0.001), satisfaction (r=-501, p<0.001), and self-efficacy (r=-0.579, p<0.001). However, the correlation of the ETBQ-T with EQ-5D (r=0.340, p=0.001) was weak. A factor was extracted, accounting for 58.289% of the total variation. There were no floor or ceiling effects.
Conclusions. The ETBQ-T is a reliable and valid tool to evaluate the exercise burden in the Turkish population with chronic disease.
On the early uses of the word ‘gout’: novel evidence and a critical assessment of the published literature
Authors: Galassi F.M. , Ingaliso L. , Papa V. , Lorenzi R. , Percivaldi E. , Varotto E.
Published: June 2024

Recognized since antiquity, gout is still a relevant pathology with rising prevalence and incidence. This study aims to assess the reference accuracy in journal articles mentioning the early use of the word ‘gout’. Specifically, it investigates whether the term was indeed coined in the 13th century by the Dominican monk Randolphus of Bocking, as widely believed. Several historical sources in their original Latin were consulted to test the hypothesis of literary mentions predating Randolphus of Bocking’s description. At the same time, biomedical articles spanning the last two decades were perused using specific keywords in different combinations to determine the accuracy level of references related to the earliest use of the word ‘gout’. The results showed that several biomedical publications wrongly ascribed the origin of the word ‘gout’ to Randolphus of Bocking. Indeed, various texts predate his mention by many years. In particular, gutta, the Latin word used to indicate a host of rheumatological conditions including gout, is recorded as early as the 10th century in a biography dedicated to the martyred nun Saint Wiborada of St. Gall. Written by Swiss monks between AD 960 and 963, this text should be regarded as containing the earliest known adoption of the word. For this reason, scholars should now avoid quoting Randolph of Bocking’s description as the first use of the word ‘gout’ in Western literature.