965 research outputs found
Beyond the stage: how performing arts tourism shapes tourist perceptions and destination image
Purpose – This study works on inferring relationships among motivational factors, service concepts, perceived value, tourist satisfaction and the destination image of performing arts tourism. The study aims to establish the interconnectedness of these variables in understanding the mechanisms shaping the perceptions and behaviour that impact performing arts experiences for tourists. Design/methodology/approach – Data were gathered from 479 tourists attending performing arts in Dhofar as an Omani tourism destination, with personal experiences evaluating these performances. Findings – Motivational factors, especially social engagement, were proven to affect perceived value positively. Other studies had prior findings, emphasising the importance of social relationships in driving consumer loyalty and satisfaction. Of the other motivating factors, social interaction and knowledge gain, they found no significant effect, contradicting theories in literature. Supplementary and core service concepts had positive assets regarding the perceived value, revealing both these ideas’ roles in shaping tourists’ perceptions and experiences. Practical implications – Creating greater immersion into the performing arts experience by social engagement and fitting service concepts to what a tourist would prefer would give a more stimulating event for them that would entertain, inform and engage tourists, but furthermore, positively build the image of the destination. Originality/value – This study installs a venture wherein cultural consumption theory (CCT), SERVQUAL and expectation-confirmation theory (ECT) come together into a big framework for performing arts tourism. It is not just a mechanical combination, but rather it explores CCT’s idea of intrinsic tourist motivations, adapting SERVQUAL to serve the ephemeral service experiences of live performances and applies ECT to link expectation confirmation to cognitive and affective destination images. This study bridges some considerable gaps in previous research to explore the impacts of motivations, service perceptions and satisfaction on destination image, painting a more nuanced understanding of how performing arts tourism fits in sustainable tourism and destination branding, particularly in Dhofar
Mechanical properties and microstructure evolution in an aluminum 6082 alloy processed by high-pressure torsion
A spatial pattern analysis of the halophytic species distribution in an arid coastal environment
Obtaining information about the spatial distribution of desert plants is considered as a serious challenge for ecologists and environmental modeling due to the required intensive field work and infrastructures in harsh and remote arid environments. A new method was applied for assessing the spatial distribution of the halophytic species (HS) in an arid coastal environment. This method was based on the object-based image analysis for a high-resolution Google Earth satellite image. The integration of the image processing techniques and field work provided accurate information about the spatial distribution of HS. The extracted objects were based on assumptions that explained the plant-pixel relationship. Three different types of digital image processing techniques were implemented and validated to obtain an accurate HS spatial distribution. A total of 2703 individuals of the HS community were found in the case study, and approximately 82 % were located above an elevation of 2 m. The microtopography exhibited a significant negative relationship with pH and EC (r = -0.79 and -0.81, respectively, p < 0.001). The spatial structure was modeled using stochastic point processes, in particular a hybrid family of Gibbs processes. A new model is proposed that uses a hard-core structure at very short distances, together with a cluster structure in short-to-medium distances and a Poisson structure for larger distances. This model was found to fit the data perfectly well
sj-docx-1-cat-10.1177_10760296221107889 - Supplemental material for COVID-19 Infection in Patients with Comorbidities: Clinical and Immunological Insight
Supplemental material, sj-docx-1-cat-10.1177_10760296221107889 for COVID-19 Infection in Patients with Comorbidities: Clinical and Immunological Insight by Omnia El-Badawy, Nahla M. Elsherbiny, Doaa Abdeltawab, Doaa M. Magdy, Lamees M. Bakkar, Shimaa A. Hassan, Elham A. Hassan, Ahmed M. Thabet, Ahmed M. Ashmawy, Ehab F. Moustafa, Wael A. Abbas, Ahmad Bahieldeen Ahmad, Amal Rayan, Khaled Saad, Amira Elhoufey, Hosni A. M. Hussein, Ali A. Thabet and Asmaa M. Zahran in Clinical and Applied Thrombosis/Hemostasis</p
Potential Application of Intranasal Insulin Delivery for Treatment of Intracerebral Hemorrhage: A Review of The Literature
: Intracerebral hemorrhage (ICH) is a devastating subtype of stroke associated with high morbidity and mortality that is considered a medical emergency, mainly managed with adequate blood pressure control and creating a favorable hemostatic condition. However, to date, none of the randomized clinical trials have led to an effective treatment for ICH. It is vital to better understand the mechanisms underlying brain injury to effectively decrease ICH-associated morbidity and mortality. It is well known that initial hematoma formation and its expansion have detrimental consequences. The literature has recently focused on other pathological processes, including oxidative stress, neuroinflammation, blood-brain barrier disruption, edema formation, and neurotoxicity, that constitute secondary brain injury. Since conventional management has failed to improve clinical outcomes significantly, various neuroprotective therapies are tested in preclinical and clinical settings. Unlike intravenous administration, intranasal insulin can reach a higher concentration in the cerebrospinal fluid without causing systemic side effects. Intranasal insulin delivery has been introduced as a novel neuroprotective agent for certain neurological diseases, including ischemic stroke, subarachnoid hemorrhage, and traumatic brain injury. Since there is an overlap of mechanisms causing neuroinflammation in these neurological diseases and ICH, we believe that preclinical studies testing the role of intranasal insulin therapy in ICH are warranted
Chronique des travaux en Égypte, chronique 2023
Soutenus par l’Institut Français d’Archéologie Orientale du Caire, Ali Abdelhalim Ali (qui reprend les fonctions du professeur Shafia Bedier, décédée au mois de juin 2022), et Françoise Labrique ont codirigé en octobre 2022 une opération de terrain au temple des dieux Haroéris et Sobek à Kom Ombo. L’équipe réunissait les égyptologues Ali Abdelhalim Ali, professeur à l’université de Ayn Chams, Marion Claude, pensionnaire à l’IFAO, Françoise Labrique, professeur émérite de l’université de Cologne, Huzaifa Magdy Mohammed, égyptologue, assistant de Misr university for science and technology, Gaël Pollin, photographe de l’IFAO, l’inspecteur Sayed Hommosany et le restaurateur Emad Abdelaziz, du Ministère du Tourisme et des Antiquités.LAPI
Le traitement du nom dans Denier du rêve (1934) : la culture onomastique italienne de Marguerite Yourcenar
In 1934, Denier du rêve by Marguerite Yourcenar, was one of the first French novels, if not the first, to turn the spotlight on the contemporary Italian Fascist regime. The book is set in Rome, in 1933, and is built around a small number of characters from different geographical, social and cultural backgrounds and this determines the choice of anthroponyms with notable forms from a diatopic, diastratic and even diachronic point of view. For other characters, however, a Cratylian (Roland Barthes, 1971) function of the name should be singled out, as the forms of the name are loaded with implicit semantic information.
We would also like to dwell on some hypocoristic forms alien to the Italian onomastic heritage and ones which the author corrected in subsequent editions of the novel. The writer, in fact, takes one of the formal procedures used to create these kinds of names which requires the name to be shortened. However, while the method is well suited to certain types of formations, others prove insufficient to undergo this change and give rise to unconventional anthroponimic creations
Computational sarcasm detection and understanding in online communication
The presence of sarcasm in online communication has motivated an increasing number of computational investigations of sarcasm across the scientific community. In this thesis, we build upon these investigations. Pointing out their limitations, we bring four contributions that span two research directions: sarcasm detection and sarcasm understanding.
Sarcasm detection is the task of building computational models optimised for recognising sarcasm in a given text.
These models are often built in a supervised learning paradigm, relying on datasets of texts labelled for sarcasm.
We bring two contributions in this direction.
First, we question the effectiveness of previous methods used to label texts for sarcasm. We argue that the labels they produce might not coincide with the sarcastic intention of the authors of the texts that they are labelling.
In response, we suggest a new method, and we use it to build iSarcasm, a novel dataset of sarcastic and non-sarcastic tweets.
We show that previous models achieve considerably lower performance on iSarcasm than on previous datasets, while human annotators achieve a considerably higher performance, compared to models, pointing out the need for more effective models.
Therefore, as a second contribution, we organise a competition that invites the community to create such models.
Sarcasm understanding is the task of explicating the phenomena that are subsumed under the umbrella of sarcasm through computational investigation.
We bring two contributions in this direction.
First, we conduct an alaysis into the socio-demographic ecology of sarcastic exchanges between human interlocutors. We find that the effectiveness of such exchanges is influenced by the socio-demographic similarity between the interlocutors, with factors such as English language nativeness, age, and gender, being particualry influential. We suggest that future social analysis tools should account for these factors.
Second, we challenge the motivation of a recent endeavour of the community; mainly, that of augmenting dialogue systems with the ability to generate sarcastic responses. Through a series of social experiments, we provide guidelines for dialogue systems concerning the appropriateness of generating sarcastic responses, and the formulation of such responses.
Through our work, we aim to encourage the community to consider computational investigations of sarcasm interdisciplinarily, at the intersection of natural language processing and computational social science
Exploring Author Context for Detecting Intended vs Perceived Sarcasm
We investigate the impact of using author context on textual sarcasm detection. We define author context as the embedded representation of their historical posts on Twitter and suggest neural models that extract these representations. We experiment with two tweet datasets, one labelled manually for sarcasm, and the other via tag-based distant supervision. We achieve state-of-the-art performance on the second dataset, but not on the one labelled manually, indicating a difference between intended sarcasm, captured by distant supervision, and perceived sarcasm, captured by manual labelling.<br/
Exploring Author Context for Detecting Intended vs Perceived Sarcasm
We investigate the impact of using author context on textual sarcasm detection. We define author context as the embedded representation of their historical posts on Twitter and suggest neural models that extract these representations. We experiment with two tweet datasets, one labelled manually for sarcasm, and the other via tag-based distant supervision. We achieve state-of-the-art performance on the second dataset, but not on the one labelled manually, indicating a difference between intended sarcasm, captured by distant supervision, and perceived sarcasm, captured by manual labelling.<br/
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