The Use of Presuppositions in the Short Story of Zilkê Şixatê (Matchstick)

This study explores the use of presuppositions in the Kurdish short story, Zilkê Şixatê (The Matchstick), which is written in Northern Kurmanji dialect (hence, NK) by Isma’il Hajani. It attempts to determine which type of presupposition is the most recurring one in the short story and why it is so. The data in this study are analyzed descriptively and qualitatively. Yule’s (2006) classification which divides presupposition into six types has been employed: existential, factive, non-factive, lexical, structural, and counterfactual. The data of the research are sentences which contain presupposition triggers (i.e. linguistic forms to mark presuppositions). Applying the formula presented by Oktoma and Mardiyono (2013: 79), the results obtained throughout this paper show that different types of presuppositions have different percentages from the total number of presuppositions. They are (94) in number. It is noted that the most dominant type of presupposition used in the short story is the existential presupposition, manifesting definite descriptions of facts about real life, while the structural presuppositions have the lowest percentage. This shows that much of the story text is written to definitely describe the main theme, the characters and the events as they are. Finally, this study is particularly important because no other such studies have been conducted on the use of presuppositions in any literary work in NK. Therefore, this study occupies a crucial place in the research literature into pragmatic aspects of NK

The realisation and phonetic features of the glottal stop in Bahdini Kurdish

In Bahdini Kurdish (henceforth, BK), the realisation and the phonetic features of the glottal stop (GS) has not been extensively investigated and there is a debate about its phonemic status. In one hand, it is considered a phoneme that occurs only in a word-initial position. On the other hand, it is not con- sidered a phoneme but optionally produced at the beginning of vowel-initial words and does not affect meaning. The study aims at identifying the realisation of this sound experimentally, analyses its acous- tic features and whether it is affected by parameters such as vowel type, vowel position in the word and stress. The study is based on read speech produced by 10 BK native speakers. Then it is analysed phonetically using Praat to identify the presence/absence of the GS. Then the number of occurrences of the GSs are compared across vowel types, vowel position and stress. The results show that the GS is an epenthetic sound in BK that is inserted by the speakers to avoid onsetless syllables and to avoid vowel clusters. Different phonetic variations of the sound are realized in BK: A clear closure of the glottal stop, intermittent vocal folds vibrations during the GS closure, vocal folds vibrations start sim- ultaneously with the GS release. It appears not to be affected by stress but by position, as it is found more medially in V+V contexts than initially, and vowel quality as it is produced more before low vowels than non-low vowels

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

The value of open-source clinical science in pandemic response: lessons from ISARIC

International audienc

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use