bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardiovascular Stroke Prevention and Management Using the Principles of Cellular Medicine
Authors: Olaniyi Oyesaga Oyindamola
Published: June 2024

Cerebrovascular disease generally refers to the abnormality of the brain, and it is usually caused by the pathologic process of blood vessels. After heart disease and cancer, stroke is the third most common cause of death in the developed world. Stroke can be classified based on the evolution and duration of the symptoms experienced by the patient. From the perspectives of human, family, and the society, stroke is a costly disease. In 2015, the total cost of stroke in the EU was estimated at about €45 Billion. Also, in the same year, the total direct and indirect cost of stroke in the United States of America was calculated as $103.50 billion annually. Meanwhile, stroke can be conveniently classified as two processes, based on pathologic anatomy and pathophysiology. The first process is; hpoxia, ischaemia, and infarction. This is usually caused by the pathology of blood supply and the impairment of oxygenation to the central nervous system (CNS) tissue. The second process is haemorrhage, and this is usually due to the rupture of blood vessels to the CNS. Most of the thrombotic arterial occlusions are caused by atherosclerosis, while primary brain parenchymal haemorrhage is most commonly due to hypertension. Cellular medicine is an approach to healthcare which focuses on the aetiology of diseases and develops treatment for the diseases by studying; biological processes, structures and functions of biomolecules, and cell physiology, in order to understand abnormal biological function at the cellular level. Research in the field of cellular medicine have revealed that atherosclerosis, the main cause of cardiovascular and cerebrovascular diseases, can be reversed using cellular medicine. The research also showed that atherosclerosis is an early form of full blown scurvy, thus both scurvy and atherosclerosis have the same cause, which is vitamin C deficiency.
Smart Accident Detection and Emergency Response System for Enhanced Road Safety
Authors: R Duganavar Basavraj , Vardhan S Aditya , Chinchanikar Chinmay , Magadu Nachiket , H K Harish
Published: June 2024

In the realm of road safety, prompt and accurate accident response is paramount to mitigating fatal injuries and saving lives. The existing approach, reliant on manual reporting to authorities or the injured party's ability to communicate with emergency services, introduces delays that can prove fatal. The presented system uses a combination of IoT modules to detect the accident and alert the EMS. It uses an accelerometer to detect the accident, a sim module equipped with a 2G sim to send an alert message consisting of the drivers details, car details, and crash location, acquired by the GPS module to the authorities and few selected individuals. The goal is to drastically reduce emergency response time, improving the likelihood of survival and quick recovery of the injured. This innovative approach not only addresses the current gaps in accident reporting but also contributes to an overall improvement in road safety infrastructure. This work uses a collection of sensors to identify an accident and point out the accident location. This data is sent as a text message to emergency services through which immediate help can be received.
Edge Computing and its Role in IoT: Analyze how Edge Computing is Transforming IoT by Processing Data at the Edge of the Network, Reducing Latency and Enhancing Data Security
Authors: H Patel Umang
Published: June 2024

An age of technological revolution has begun as a result of the Internet of Things (IoT) explosive growth, in which billions of gadgets gather and exchange data over several networks. The conventional cloud- centric approach of data processing faces substantial hurdles as Internet of Things (IoT) devices become more sophisticated and data-intensive. These challenges include high latency, bandwidth limits, and privacy concerns. By decentralizing data processing and moving it closer to the data source—the network's edge—edge computing emerges as a crucial solution. This study examines how edge computing is revolutionizing the Internet of Things by examining three of its main benefits: lower latency, better data security, and increased bandwidth economy. Edge computing expedites response times, strengthens data security, and maximizes network use by processing data locally. The fundamentals of edge computing, implementation difficulties, and prospective advancements that might further integrate edge computing with sophisticated IoT systems are all covered in the talk. In addition to changing IoT environments, this investigation seeks to demonstrate how edge computing is essential to real- time, safe, and effective data processing in an increasingly interconnected world.
Analysis of the Relationship Between Economic Growth, Inflation and Unemployment in Indonesia
Authors: KURNIAWAN Muhammad Lukman , PUDJIHARDJO M. , PRASETYIA Ferry
Published: June 2024

The aim of developing a country is for the welfare of society. the policy makers are currently focused on the level of economic growth, inflation and unemployment. According to theory, these variables are closely related. The porpuse of the study was to analyze the relationship between economic growth, inflation and unemployment in Indonesia. Method used Vector Error Correction Model (VECM) analysis and Granger Causality Test. The results of this research show that in the long term, inflation has a significant positive relationship with economic growth, and unemployment has a negative and insignificant relationship. In the short term, inflation has no relationship to economic growth, and unemployment has a significant relationship. The results of the causality test, economic growth, inflation and unemployment do not have interrelationship.
Romanies within the interlocking matrix of racialization: How Ciganos in Brazil became accused of introducing an infectious disease
Authors: FOTTA MARTIN
Published: June 2024

Brazilian medical texts sometimes forge a link between Ciganos (Romanies) and the spread of trachoma, an infectious eye disease. The form of the claim has become standardized into something like this: trachoma was brought to the country in the eighteenth century by Ciganos who were deported from Portugal to the provinces of Maranhão and Ceará. This article traces the origins of this claim to a group of early twentieth-century ophthalmologists from Northeast Brazil, particularly in Ceará. It reveals that several racial projects are folded into the claim and makes a case for the need to approach the dynamics of racialization of Romanies relationally. The analysis of the Romani societal position, characteristics ascribed to them in relation to other communities, and the ways those communities are racialized not only reveals new insights but breaches the continued insularity of Romani studies.

This article was published open access under a CC BY licence:
https://creativecommons.org/licences/by/4.0
.
Fashion and pilgrimage: Discourses constructing Romani identity
Authors: EGRI PETRA , BECK ZOLTÁN , BÓKAY ANTAL
Published: June 2024

Our study interprets the activities and products of Romani Design, a Budapest-based high fashion company. We discuss their creative technique and ideology, which programmatically construct a distinctive Romani identity in their fashion products. Their activities take part not just in the maistream world of fashion shows and fashion business but they also appear in special spaces of representation, for example, in a major city museum exhibition, mobilizing visual parallels with eighteenth-century artistic paintings. They also take part in a religious, ritual event, the dressing of the statue of the Virgin Mary in a church in the Romani community space of the Csatka pilgrimage feast. All three event spaces serve to position a “Gypsy” identity, as well as a confident but also contradictory Romani bodily-spiritual projection through objects and their placement.

This article was published open access under a CC BY licence:
https://creativecommons.org/licences/by/4.0
.
Secular Dynamics of Compact Three-planet Systems
Authors: Yang 杨 Qing 晴 , Tamayo Daniel
Published: June 2024

The secular Laplace–Lagrange orbital solution, decomposing eccentricities into a set of uniformly precessing eigenmodes, is a classical result that is typically solved numerically. However, in the limit where orbits are closely spaced, several simplifications make it possible to make analytical progress. We derive simple expressions for the eccentricity eigenmodes in a coplanar three-planet system where the middle planet is much less massive than its neighbors, and we show that these approximate the true eigenmodes of more general systems with three massive planets in various limits. These results provide intuition for the secular dynamics of real systems, and have applications for understanding the stability boundary for compact multiplanet systems.
Parametric Survey of Nonaxisymmetric Accretion Disk Instabilities: Magnetorotational Instability to Super-Alfvénic Rotational Instability
Authors: Brughmans Nicolas , Keppens Rony , Goedbloed Hans
Published: June 2024

Accretion disks are highly unstable to magnetic instabilities driven by shear flow, where classically, the axisymmetric, weak-field magnetorotational instability (MRI) has received much attention through local WKB approximations. In contrast, discrete nonaxisymmetric counterparts require a more involved analysis through a full global approach to deal with the influence of the nearby magnetohydrodynamic (MHD) continua. Recently, rigorous MHD spectroscopy identified a new type of ultralocalized, nonaxisymmetric instability in global disks with super-Alfvénic flow. These super-Alfvénic rotational instabilities (SARIs) fill vast unstable regions in the complex eigenfrequency plane with (near eigen)modes that corotate at the local Doppler velocity and are radially localized between Alfvénic resonances. Unlike discrete modes, they are utterly insensitive to the radial disk boundaries. In this work, we independently confirm the existence of these unprecedented modes using our novel spectral MHD code Legolas, reproducing and extending our earlier study with detailed eigenspectra and eigenfunctions. We calculate the growth rates of SARIs and MRI in a variety of disk equilibria, highlighting the impact of field strength and orientation, and find correspondence with analytical predictions for thin, weakly magnetized disks. We show that nonaxisymmetric modes can significantly extend instability regimes at high mode numbers, with maximal growth rates comparable to those of the MRI. Furthermore, we explicitly show a region filled with quasi-modes whose eigenfunctions are extremely localized in all directions. These modes must be ubiquitous in accretion disks, and play a role in local shearing box simulations. Finally, we revisit recent dispersion relations in the appendix, highlighting their relation to our global framework.
Identification and Quenching of Nugget Galaxies in the RESOLVE Survey at z = 0
Authors: Carr Derrick S. , Kannappan Sheila J. , Norris Mark A. , Sinha Manodeep , Palumbo Michael L. , Eckert Kathleen D. , Moffett Amanda J. , Polimera Mugdha S. , Bernstein Joel I. , Hutchens Zackary L. , Stark David V.
Published: June 2024

We present a complete census of candidate nuggets, i.e., dense galaxies likely formed by compaction with intense gas influx, within the volume-limited redshift z ∼ 0 REsolved Spectroscopy Of a Local VolumE (RESOLVE) survey. These nuggets span all evolutionary stages and 3 orders of magnitude in stellar mass (M
* ∼ 108 to 1011
M
⊙) from the dwarf to the giant regime. We develop selection criteria for our z ∼ 0 nugget candidates based on structure and introduce the use of environmental criteria to eliminate nugget-like objects with suspected non-compaction origins. The resulting z ∼ 0 nuggets follow expectations with respect to structure (i.e., density, size), population frequency, and likely origins. We show that the properties of our nugget census are consistent with permanent quenching above the gas-richness threshold scale (halo mass M
halo ∼ 1011.4
M
⊙), cyclic temporary quenching below the threshold scale, and feedback from active galactic nuclei (AGN) assisting in permanent quenching. As predicted in simulations, most nuggets quench within a halo mass range of M
halo ∼ 1011.45 to 1011.9
M
⊙. We find ∼0.29 dex scatter around the star-forming main sequence for candidate blue nuggets below the threshold scale, which is consistent with temporary quenching as seen in simulations. A transitional population of green nuggets appears above the threshold scale. AGN also become more common in nuggets above this scale, and we see a likely AGN excess in nuggets versus comparably selected non-nuggets. Our results provide the first observational confirmation of the mass-dependent, AGN-mediated shift from cyclic quenching to halo quenching in nuggets.
Peas-in-a-pod across the Radius Valley: Rocky Systems Are Less Uniform in Mass but More Uniform in Size and Spacing
Authors: Goyal Armaan V. , Wang Songhu
Published: June 2024

The ubiquity of “peas-in-a-pod” architectural patterns and the existence of the radius valley each presents a striking population-level trend for planets with R

p
≤ 4 R
⊕ that serves to place powerful constraints on the formation and evolution of these subgiant worlds. As it has yet to be determined whether the strength of this peas-in-a-pod uniformity differs on either side of the radius valley, we separately assess the architectures of systems containing only small (R

p
≤ 1.6 R
⊕), rocky planets from those harboring only intermediate-sized (1.6 R
⊕ < R

p
≤ 4 R
⊕), volatile-rich worlds to perform a novel statistical comparison of intra-system planetary uniformity across compositionally distinct regimes. We find that, compared to their volatile-rich counterparts, rocky systems are less uniform in mass (2.6σ) but more uniform in size (4.0σ) and spacing (3.0σ). We provide further statistical validation for these results, demonstrating that they are not substantially influenced by the presence of mean-motion resonances, low-mass host stars, alternative bulk compositional assumptions, sample size effects, or detection biases. We also obtain tentative evidence (>2σ significance) that the enhanced size uniformity of rocky systems is dominated by the presence of super-Earths (1 R
⊕ ≤ R

p
≤ 1.6 R
⊕), while their enhanced mass diversity is driven by the presence of sub-Earth (R

p
< 1 R
⊕) worlds.
Défis contemporains de la pédopsychiatrie de secteur. cmp/cmpp , pivots du secteur, du territoire
Authors: John Catherine
Published: June 2024

Acteurs majeurs du soin psychique, les cmp/cmpp , pivots du dispositif de secteur, accueillent sans discrimination une patientèle de 0 à 18 ans dans une démarche de prévention, de diagnostic et de soins. Demande croissante, pénuries de professionnels, moyens insuffisants, nécessité d’allier les approches neurodéveloppementales et psychodynamiques, recommandations de bonnes pratiques, les cmp/cmpp ont dû absorber les changements inhérents à ces nouvelles approches. Ils restent des lieux propices à l’éclosion d’une grande créativité au profit du patient et des familles.
Et si on soignait par les jeux vidéo ? Médiation thérapeutique par les jeux vidéo en pédopsychiatrie
Authors: Stora Michaël
Published: June 2024

Soigner par des jeux vidéo possède ses spécificités dont la vocation dans un cadre clinique est d’aider nos patients à jouer avec leurs représentations inconscientes. Les soignants désirant s’emparer de ce nouvel outil découvriront à quel point il peut avoir des effets soignants pour des pathologies diverses. C’est dans cette clinique spécifique que nous percevons à quel point les enfants et adolescents peuvent redevenir interacteurs de leurs traumatismes psychiques.
Comment taire se peut ? Enfance violée, sortir des sidérations par la pensée
Authors: Breugnot Christine
Published: June 2024

Face à la violence sexuelle faite aux enfants, le recours à la parole viendrait en modérer les effets. Le verrouillage de la parole produit une double peine, après celle de l’abus. Sortir du silence est un enjeu perpétuel. Le témoignage d’une enfance abusée est ici porté à l’appréciation d’une logique réflexive parce qu’il n’existe pas meilleur mouvement pour déconstruire la honte. À partir d’un dénouement singulier, nous accédons à la représentation d’un processus de rétablissement qui a fait appel à la force de vie, malgré l’effet de sidération et ses répétitions.
SERAFIN-PH, de la nomenclature de besoins au besoin de s’autoréaliser
Authors: Recham Ali
Published: June 2024

Afin d’enrichir le débat suscité par la réforme serafin-ph , il est question ici de la déconstruire pour la scruter sous l’angle du besoin, l’un de ses concepts clés. Confrontée à la notion de l’épanouissement personnel, la satisfaction des besoins, bien que nécessaire à toute prise en charge, est loin de constituer un espace de management, à l’instar de l’univers du jeu, favorable à l’autoréalisation.
Le rêve, entre actuel et origines
Authors: Lugrin Yves
Published: June 2024

Reprenant les travaux sur le rêve de S. Ferenczi, l’auteur montre comment Ferenczi garde à l’analyse sa fonction essentiellement thérapeutique, tout en accordant à l’organisme une capacité à l’autoguérison, par la fonction traumatolytique du rêve, tant pour les cicatrices des traumas primitifs que les commotions des traumas récents.
Le rêve, entre actuel et origines
Authors: Drossart Francis
Published: June 2024

Il sera question, à partir de cette allusion au film surréaliste de Hans Richter, de la fonction idéologique d’un certain type de « fantaisie totalitaire », en ce qu’elle s’oppose irréductiblement, de par l’écran- bêta , à la fonction alpha qu’exerce sur la pensée la barrière du rêve (Bion). Toute ressemblance avec des événements récents ne pourrait être que non-fortuite…
Le rêve, entre actuel et origines
Authors: Cognet Sylvie
Published: June 2024

S’interrogeant sur l’articulation entre l’image et le texte, le propos ici est d’en chercher les diverses origines dans les formations oniriques comme dans la création artistique. Ce faisant nous croiserons des auteurs et des exemples cliniques qui illustrent en quoi le processus mélancolique s’oppose à la perte nécessaire de l’objet, qui signe pourtant une avancée dans la cure du côté d’une possible symbolisation, et qui donne aux artistes le souffle créatif qu’est le Kulturarbeit .
Le rêve, entre actuel et origines
Authors: Barreau Jean-Jacques
Published: June 2024

À partir de l’expérience du rêve, comment définir un « penser en image » et le régime spécifique de l’expression du sensible dans la cure analytique ? Peut-on concevoir une pensée esthétique au-delà de la représentation et de la pensée logico-discursive ? Peut-on envisager une pensée qui n’opposerait pas le sensible à l’intelligible ? Avec l’image, sommes-nous au bord de la pensée ou au cœur de ce que l’on peut appeler la matrice visuelle de la pensée à partir de l’inscription des traces de perception ? Penser en image s’applique aux modes d’expression qui se manifestent dans la cure sous une forme hétérogène à l’ordre du discours, les rapports entre ces formes d’expression mobilisant aussi bien la dimension hallucinatoire du transfert que le champ de la parole et de l’énonciation. Le dispositif analytique ouvre sur une autre scène, au carrefour du langage verbal et du langage plastique, au carrefour de la pensée visuelle et de la pensée verbale. Nous suivrons quelques-uns des détours de la pensée freudienne dessinant, explicitement ou secrètement, une esthétique comme puissance et potentialité de la forme, puissance de présentation au-delà de la représentation.
L’exclusion sociale est-elle réductible à la situation d’assistance ?
Authors: Fouliard Jérémy , Richard Éléonore
Published: June 2024

Cet article propose de quantifier l’importance relative des différents déterminants du sentiment d’exclusion identifiés dans la littérature. En s’appuyant sur le volet 2018 de l’enquête « Statistiques sur les ressources et les conditions de vie » (« SRCV ») de l’Insee, il montre que l’assistance, telle que définie par la perception de transferts sociaux par les ménages, n’a pas d’effet additionnel sur le sentiment d’exclusion, une fois l’éloignement du marché du travail, le pays de naissance, la pauvreté matérielle et l’isolement géographique des individus pris en compte. En cela, ses résultats contribuent à éclairer le débat présent dans la littérature, en rejetant l’hypothèse selon laquelle l’émergence du sentiment d’exclusion serait avant tout imputable à la situation d’assistance qui unit l’individu à la société.
Telle sœur, tel frère ?
Authors: Bourguignon Abigail , Diter Kevin , Hargis Holly , Lignier Wilfried , Oehmichen Hélène , Pagis Julie , Vitores Julien
Published: June 2024

La sociologie a fait peu de place aux frères et sœurs dans la sociogenèse du genre. Fondé sur l’« Étude longitudinale française depuis l’enfance » (« Elfe »), et en interrogeant d’abord les pratiques ludiques les plus liées à une position de genre (les poupées et les voitures), cet article montre que les frères et sœurs contribuent par un effet d’entrainement à la différenciation de genre. Cet effet n’est cependant pas indépendant de l’implication parentale. Cette implication reste, d’une part, déterminante pour des pratiques moins polarisées du point de vue du genre (comme le dessin ou les puzzles), qui distinguent de fait différemment les ainé·es des cadet·tes. D’autre part, pour que les effets d’entrainement entre enfants existent, il faut que les parents les laissent à leurs jeux. Cet article interprète cette implication à géométrie variable en relation avec les stratégies de reproduction des parents : la reproduction de la position de classe, notamment par des jeux « éducatifs », semble concurrencer la reproduction du genre des enfants.
Minimal resolutions of threefolds
Authors: Chen Hsin-Ku
Published: June 2024

We describe the resolution of singularities of a threefold which has minimal Picard number. We describe the relation between this minimal resolution and an arbitrary resolution of singularities.
Rainbow connection numbers of some classes of $ s $-overlapping $ r $-uniform hypertrees with size $ t $
Authors: Farihati Sitta Alief , Salman A. N. M. , Putri Pritta Etriana
Published: June 2024

The rainbow connection concept was developed to determine the minimum number of passwords required to exchange encrypted information between two agents. If the information exchange involves divisions managing more than two agents, the rainbow connection concept can be extended to a hypergraph. In 2014, Carpentier et al. expanded the rainbow connection concept of graphs to hypergraphs. They implemented it on a minimally connected hypergraph, an $ r $-uniform complete hypergraph, an $ r $-uniform cycle hypergraph, and an $ r $-uniform complete multipartite hypergraph. However, they did not determine the rainbow connection numbers of hypertrees. A hypergraph $ \mathcal{H} $ is called a hypertree if there exists a host tree $ T $ such that each edge of $ \mathcal{H} $ induces a subtree in $ T $. Therefore, in this article, we consider the rainbow connection numbers of some classes of $ s $-overlapping $ r $-uniform hypertrees with size $ t $. For $ r\geq 2 $, $ 1\leq s < r $, and $ t\geq 1 $, an $ s $-overlapping $ r $-uniform hypertree with size $ t $ is an $ r $-uniform connected hypertree, with $ s $ being the maximum cardinality of the vertex set obtained from the intersection of each pair of edges. We provide the best lower bound of the rainbow connection number of a connected hypergraph. Then, we determine the rainbow connection numbers of six classes of $ s $-overlapping $ r $-uniform hypertrees with size $ t $.
The use of Tinkercad and 3D printing in interdisciplinary STEAM education: A focus on engineering design
Authors: Barbosa Ana , Vale Isabel , Alvarenga Dina
Published: June 2024

STE(A)M education (combining science, technology, engineering, art, and mathematics) has globally become a growing concern, being recognized as having the potential to prepare students for the challenges of the 21st century. However, the levels of integration of the involved disciplines, as well as their relevance, tend to vary. Engineering design (ED) is being used in educational contexts as an ideal STEAM content integrator to solve ill-structured real-world problems, using the practices of engineering as a problem-solving model. The present study aimed to understand how future elementary school teachers can solve an authentic problem that demands the construction of an artifact, using the ED process in the context of 3D printing, focusing on their performance, the perception of the role of the STEAM disciplines, and the potentials and challenges of computer-assisted design (CAD) and 3D printing. We conducted a qualitative exploratory study with 72 pre-service teachers of elementary education. The implementation was based on a didactical experience focused on solving an authentic problem through the ED process using Tinkercad and 3D printing. The research findings revealed that some of the participants did not follow the ED model exactly as it was presented, skipping or merging steps, but all were able to find a solution and reflect about how to improve it. The majority identified concepts associated with all of the STEAM subjects, although they found it easier to refer to mathematics and science topics. They valued the use of Tinkercad and 3D printing, which allowed them to easily build a virtual model and make it tangible, while also recognizing some challenges in the use of these technological resources. This study can contribute to the scarce literature about the interdisciplinary integration of 3D printing technology in STEAM education, promoting awareness of the overlaps in these disciplines and a more equitable disciplinary attention.
European Integration as Cultural Practice
Authors: Bajuk Senčar Tatiana
Published: June 2024

This book provides an anthropological analysis of the cultural formation, practices and experiences of the first generation of Slovenes working in the institutions of the European Union. On 1 May 2004, Slovenia became a full-fledged member of the European Union and was thus formally incorporated into the processes of European integration redefining the relations among EU member states. European integration processes take place at multiple, interlocking levels — from the level of government bodies to the level of individual social actors. The numerous Slovenes who were successful in attaining the positions available for citizens from new member states now work as Eurocrats at multiple locations across the EU’s institutional network. This work explores European integration from the perspective of Slovene Eurocrats by analyzing how Slovenes plot careers and lives in European terms.To this end, the author examines the experiences of Slovene Eurocrats in Brussels within the broader context of their life experiences and professional formation. As recent EU officials, Slovene Eurocrats provide many insights into European integration as an ongoing social process.
Fitocenološki opis podgorskih bukovih gozdov na mešani geološki podlagi v dolini Trebuše (zahodna Slovenija) / Phytosociological analysis of submontane beech forests on mixed (carbonate-silicate) bedrock in the Trebuša Valley (western Slovenia)
Authors: Dakskobler Igor
Published: June 2024

We conducted a phytosociological analysis of submontane beech forests on carbonate-silicate bedrock in the Trebuša Valley and in part also along the middle and lower course of the Idrijca and its right tributaries. Based on the analysis of diagnostic species and comparison with similar beech communities on mixed geological bedrock in the Upper and Central Soča Valley they are classified into the association Hacquetio-Fagetum sylvaticae and two new subassociations, blechnetosum spicant and seslerietosum autumnalis. In terms of phytogeography they are treated as a new geographical subvariant Hacquetio-Fagetum var. geogr. Anenone trifolia subvar. geogr. Daphne laureola. 
Izvleček
Fitocenološko smo raziskali submontanske bukove gozdove na karbonatno-silikatni geološki podlagi v dolini Trebuše in deloma tudi ob srednjem in spodnjem teku  Idrijce in njenih desnih pritokih. Na podlagi analize diagnostičnih vrst in primerjave s podobnimi bukovimi združbami na mešani geološki podlagi v Zgornjem in Srednjem Posočju jih uvrščamo v asociacijo Hacquetio-Fagetum sylvaticae in v dve novi subasociaciji, blechnetosum spicant in seslerietosum autumnalis. V fitogeograsfkem smislu jih vrednotimo kot novo geografsko subvarianto Hacquetio-Fagetum var. geogr. Anenone trifolia subvar. geogr. Daphne laureola.
Ključne besede: gozdna vegetacija, sinsistematika, Aremonio-Fagion, dolina Idrijce, Slovenija.
A Terracotta Mold Discovered in Chartres (France, Eure-et-Loir) with Original Iconography for Apollo
Authors: Androuin Loïc , Wavelet David
Published: June 2024

In this note, we introduce a mold for a terracotta figurine that represents the god Apollo, whose iconography is unprecedented in the products of central Gaul.
Terrecotte votive da Taranto. Un tentativo di contestualizzazione di materiali sequestrati
Authors: Managlia Irene
Published: June 2024

La quantità delle terrecotte votive restituite dai contesti sacri della Magna Grecia è accresciuta da lotti di materiale sottratto dalle autorità al mercato illegale che ha irrimediabilmente perso parte del proprio valore documentario. Il complesso di coroplastica che viene qui presentato è stato sequestrato nel 1979 ed è composto da 252 frammenti di statuette rappresentati perlopiù da testine femminili che coprono un arco cronologico compreso fra l’età arcaica e quella ellenistica. Lo studio tecnico e stilistico condotto fra il 2021 e il 2022 ha evidenziato le strette affinità dei manufatti con la produzione tarantina e ha posto le basi per un confronto del repertorio iconografico attestato nel corpus con le terrecotte emerse dagli scavi compiuti a Taranto nel corso dei decenni. Le testine potrebbero provenire dal santuario della Sorgente di Saturo, dove un complesso sistema di depositi votivi indica la dismissione dell’area dopo la conquista romana del 209 a.C.
Evolution of Higher Education in the Social Sciences From Traditional Classrooms to AI-Driven Learning Environments
Authors: Aktürk Onur
Published: June 2024

This chapter examines the evolving landscape of higher education in the social sciences, specifically the shift from traditional classroom settings to AI-powered learning environments. It contrasts the features of traditional and online education, highlighting the advantages and disadvantages of each approach. The chapter then delves into the positive impacts of artificial intelligence (AI) on higher education, showcasing how AI can personalize learning experiences, improve student outcomes, and streamline administrative tasks. However, the chapter also acknowledges the challenges associated with integrating AI into higher education, including issues of global inequality, uneven distribution of AI resources, and ethical concerns. By addressing both the opportunities and challenges, this chapter provides a comprehensive overview of the transformative potential of AI in higher education and its implications for the social sciences.
How Artificial Intelligence in Tourist Guidance Education Is Changing the Game
Authors: Demir Mahmut
Published: June 2024

This chapter explains the transformative impact of artificial intelligence (AI) on tourist guidance education, exploring the paradigm shift in teaching methodologies and industry practices. As AI technologies continue to advance, their integration into tourism education has revolutionized the way students acquire knowledge and skills essential for guiding travelers effectively. The chapter reviews incorporating AI-driven tools such as virtual reality simulations, chatbots, and machine learning algorithms into educational frameworks, fostering immersive and dynamic learning experiences. This chapter also underscores the economic implications, as AI-equipped guides contribute to the sustainability and competitiveness of tourist destinations.
Prospect of Smart Tourism Destination in Bangladesh
Authors: Talukder Mohammad Badruddoza , Muhsina Kamarun
Published: June 2024

The ongoing expansion of the tourism sector in Bangladesh has created opportunities for future development through the adoption of smart tourism destinations. The notion of smart tourism destinations encompasses incorporating every facet of a tourist's experience, including planning activities. By adopting this particular strategy, Bangladesh can cultivate a tourism industry characterized by enhanced cohesion and effectiveness, thereby augmenting the overall experience for both local and international tourists. This article emphasizes several vital aspects of smart destinations, such as heightened financial gains, enhanced tourism infrastructure, and bolstered sustainability efforts. Furthermore, this paper also addresses the difficulties associated with implementing the proposed approach. It explores potential strategies to overcome these challenges. The concept of smart tourism destinations in Bangladesh offers significant potential for growth and development in the tourism industry.
Entrepreneurial Education and Renewable Energy in Africa
Authors: Bhikraj Kival , Ramraj Andrisha Beharry , Govender Ramone
Published: June 2024

On a global scale, concerns exist regarding environmental sustainability and energy accessibility, availability, and security. Africa's renewable energy sector stands as a beacon of promise and challenge. This chapter delves into the critical intersection of entrepreneurial education relating to renewable energy in the African context. With the increasing global emphasis on sustainable development and the urgent need to address energy challenges, Africa stands at a pivotal juncture where innovative solutions are essential to foster growth. This chapter recognizes that a proficient entrepreneurial ecosystem coupled with a comprehensive understanding of renewable energy technologies can catalyze the continent's transition towards greener and more resilient energy systems and consequently bridge the gap between Africa's development drive and the required energy level.
Effects of Nature on Psychological Well-Being and Perception of the Meaning of Life
Authors: Kochetkova Tatjana
Published: June 2024

This chapter aims to contribute to building an empirical and conceptual basis for ecopsychology and environmental education by providing a picture of psyche-nature interaction. The chapter contributes to methods of environmental education by elaborating on a series of nature awareness exercises (see Appendix), which happened to be efficient and broadly applicable. It presents reports of these exercises as applied in a workshop with a group of students from the University for Humanistics (Utrecht, The Netherlands) at the Eifel National Park in Germany. The workshop lasted three days. The author intended to clarify the effects of nature awareness on the participants, especially on their subjective well-being and perception of the meaning of life. As a result, a “battery-recharging” effect of nature and its influence on young adults at four levels of awareness (external physical perception, internal (bodily) sensation, emotions, and existential meaning), were established. The chapter focuses on the episode of a night walk.
Transnational Buddhism and Ecological Awareness
Authors: Chawla Swati
Published: June 2024

The chapter explores the interplay among identity construction, environmentalism, and education within the Tibetan community in exile in India with a focus on the Tibetan Nuns Project. Drawing on Toni Huber's analysis of Tibetan self-representation in exile, the chapter examines the emergence of a modern, liberal Shangri-la image, informed by complex translational politics influenced by Western political traditions. The Tibetan exiled elite, through prolonged contact with the globalized cultural environment, adapted Western representational styles to reshape their self-image, challenging traditional perceptions of Tibet. Statements on the so-called ‘environmentalist' Tibetan identity emphasises a worldview and modes of behaviour that are described in terms of ‘completely modern' concepts and language with terms like ‘ecological balance,' interdependence, and ‘preservation.'
Re-Defining Tree Worship as Artistic Becoming for Environmental Education
Authors: Jain Shruti
Published: June 2024

Trees play a profound role in the spiritual rituals of the Shakta Tantric tradition, acting as a catalyst for the practitioner's spiritual transformation. Yet, the practice of tree worship often seems obscure to the modern mind, necessitating innovative approaches to integrate its essence into contemporary educational frameworks. This chapter endeavors to redefine worship as an artistic process that could potentially cultivate empathy, highlighting its capacity to deepen human connections with the environment by exploring the implications of adopting a tree-centric or arboromorphic perspective within educational frameworks.
Karma and Conservation
Authors: Kanojia Siddharth
Published: June 2024

Hindu philosophy renders a distinctive perspective concerning the way humans interact with the environment, as it is firmly anchored in old scriptures and customs. A belief that all life is interconnected and the understanding that the environment is an essential component of the cosmic order is paramount to this viewpoint. This chapter penetrates the fundamental ideas of Hindu philosophy that form the basis of environmental consciousness. It encompasses concepts like Dharma, an acronym for righteous duty, Karma, which means action and consequences, and Ahimsa, which means non-violence. The chapter inquires about the ethical underpinnings of environmental stewardship in Hindu philosophy while illustrating people's duty to preserve the universe's delicate balance with animals and plants. It gazes at how Vedic philosophies can promote thankfulness, environmental consciousness, and a sense of oneness with the natural world. The chapter further explores the symbolic meaning of customs such as Yajna (sacrificial offerings) and how they can encourage reciprocity with the environment.
Educating the Local Population About the Need of Environmental Protection Through Participatory Educational Theatre (PET) With a Focus on Sundarbans
Authors: Prakash Raghav , Naz Aliya , Chowdhury Abhiroop
Published: June 2024

Participatory and community theatre are applied from radical theatre traditions. Participatory education theatre (PET) has been aiding natural resource conservation projects around the globe. This book chapter elaborates on the role of PET as an effective tool in implementing socio-environmental projects. The genesis and evolution of PET from traditional theatrical forms are showcased in this chapter. The benefit of PET is turning the passive audiences into active participants, which helps in project implementation. As dramatic pretend play games (DPPG) help enlist behavioural changes in audience, PET also caters to more acceptability of any project's critical take-home message to a broader audience. This concept was tested in a socio-environmental project in the disaster-vulnerable Indian Sundarbans, with positive outcomes and has been instrumental in project compliance with the United Nations Sustainable Development Goal (SDG) 10 (reduce inequalities) targets by challenging the existing class, creed, and religion-based social dogmas.
Explainable AI in Healthcare
Authors: Upendran Shantha Visalakshi
Published: June 2024

With the advent of machine learning (ML)-based tools in the healthcare domain, various treatment methodologies like digital healthcare (HC) by integrating cross domain fusion from cross-modality imaging and non-imaging of health data and personalized treatments have been recommended to improve the overall efficacy of the healthcare systems. Due to the intensive need of skilled physicians to combat with the as the extraneous strength, the advantages of ML approaches include a larger range of functionalities such as filtering emails, identifying objects in images and analysing large volumes of complex interrelated data. It is observed that the massive amounts of healthcare data which have been generated everyday within electronic health records. In turn, the healthcare providers take a more predictive approach to come out with a more unified system which concentrates on clinical decision support, clinical practice development guidelines, and automated healthcare systems, thereby offering a broad range of features in precise manner such as improving patient data for better diagnosis, medical research for future references. This chapter provides a complete overview of a typical ML workflow comprises the predominant phases, namely data collection, data pre-processing, modelling, training, evaluation, tuning, and deployment, and the role of explainable artificial intelligence (XAI) mechanisms assists to integrate interoperability and explainability into the ML workflow. In general, XAI can be defined as the set of processes and methods that produces details or comprehensive justifications pertaining to the functioning of the model or easy to understand and trust the potential outcomes generated by ML techniques. The ultimate aim lies in explaining the interaction to the end user leads to a trustworthy environment. In addition to that, XAI assures the privileges with regard to the healthcare domain are dimension reduction, feature importance, attention mechanism, knowledge distillation, surrogate representations used to develop and validate a decision supporting tool using XAI. The positive growth of XAI nuanced the wider usage of aggregated, personalized health data to generate with ML models for diagnosis automation, prompt, and precise way of tailoring therapies with optimality and in a dynamic manner. XAI mechanisms ensure better decision making by letting the end-user know how the ML model derived the potential outcomes and medical results.
A Hybrid ArtInt Model to Predict Diabetic Retinopathy
Authors: Arumugam Prakash , Mohan Divya Bhavani
Published: June 2024

Diabetic retinopathy (DR) is retinal blood vessel damage caused by diabetes (DED). Untreated, the condition can cause blindness. Early visual impairment can be averted by monitoring and treating diabetes. Many scientists have developed machine learning techniques to detect DR earlier. Model results proved their usefulness. A WHO research predicts that 40–45% of the world's 347 million diabetics have DR. Early DR diagnosis and therapy can substantially slow visual loss. Current DR detection approaches entail skilled doctors manually analysing digital fundus images, which can cause miscommunication and postpone therapy. This study grades DR intensity as mild, moderate, or severe. A new AI model uses support vector machines and Vgg-16 to classify DR. The results suggest that integrating both models yields better outcomes than standard models.
Revolutionizing Drug Development
Authors: Giriprasath K. S. , Pandiyarajan P. , Santhosh C. , Aneesh K. , Vasanth R.
Published: June 2024

A disruptive age has begun with the convergence of drug development with artificial intelligence (AI), which has profoundly changed the field's traditional boundaries and potential. This chapter explores the numerous uses of artificial intelligence in the complex network of drug development. Through a thorough examination of the complex interactions between artificial intelligence (AI) and the intricacies of the drug development process, this chapter provides a sophisticated understanding of the difficulties encountered and the new opportunities that have arisen from this mutually beneficial partnership. This chapter provides a thorough description of the opportunities and challenges that are always changing within this quickly developing industry, acting as a compass for navigating the challenges associated in exploiting AI's potential in the field of drug discovery. By setting the foundation for ground-breaking findings, this chapter significantly advances our understanding and the growing integration of AI in the field of drug development.
Exploring Explainable AI in Healthcare
Authors: Padma Adla , Chithanuru Vasavi , Uppamma Posham , VishnuKumar R.
Published: June 2024

Artificial intelligence (AI) has revolutionized the healthcare industry by making decisions similar to human intelligence. However, the need to illustrate AI predictions based on healthcare data is a challenging task. To address this, Explainable AI (EXAI) has emerged to provide transparent explanations for machine-generated predictions and ensure accuracy in healthcare. This review emphasizes the importance of adopting EXAI in healthcare and discusses its concept of providing reliable AI-based solutions. The authors analyze the most recent developments in EXAI-based technologies and present research findings on their extensive implementation aspects, including the challenges and limitations of existing models. The importance of EXAI in healthcare extends from early disease prediction to intelligent diagnosis. Furthermore, this survey provides insights into the future perspectives of EXAI in healthcare, offering valuable research directions. Integrating EXAI into healthcare can enhance transparency, interoperability, and trust in AI-driven healthcare solutions.
A Multi-Objective Method Based on Tag Eigenvalues Is Used to Predict the Supply Chain for Online Retailers
Authors: Jiang Leilei , Hu Pan , Dong Ke , Wang Lu
Published: June 2024

E-commerce has grown quickly in recent years thanks to advancements in Internet and information technologies. For the majority of consumers, online shopping has emerged as a primary mode of shopping. However, it has become more challenging for businesses to satisfy consumer demand due to their increasingly individualized wants. To address the need for customized products with numerous kinds and small quantities, businesses must rebuild their supply chain systems to increase their efficiency and adaptability. The SI-LSF technique, which employs boosting learning in the target-relative feature space to lower the prediction error and enhance the algorithm's capacity to handle input-output interactions, is validated in this study using a genuine industrial dataset. The study successfully identifies the relationship between sales and sales as well as target-specific features by applying the multi-objective regression integration algorithm based on label-specific features to a real-world supply chain demand scenario.