Secondary metabolites from Centaurea ensiformis P.H. Davis

Centaurea ensiformis P.H. Davis was evaluated for its secondary metabolites. 20 different compounds have been isolated and identified; four phenolic compounds, one aminoacid, two acetophenone glycosides, three phenylpropanoide glycosides, one coumarin glucoside, four flavon glycosides, two neolignan glycosides, two megastigmane glycosides and schikimic acid methyl ester. © 2010 Elsevier Ltd.SBAG 106S197This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) Research Project (SBAG 106S197). -

Chemical constituents of Centaurea cadmea

WOS: 00025335430001

A note on the contact between Kurmanji Kurdish and Turkish at lexical and morphological level

Turkish-Kurdish social setting where the Turkish and Kurdish languages are in contact for a long time induces borrowing and change at different levels.This study explores the contact between Kurmanji Kurdish and Turkish that take place at both morphological and lexical level. The data consist of three hours of recordings of family talks on the phone. Corpus analysis of data obtained from audio and video recordings of a family talk on the phone was done. Preliminary findings revealed that verbs are borrowed from Turkish and then integrated into Kurdish. The changes that Turkish borrowed verbs undergo include the integration process of morphological elements and the combination of verbs with light verbs (kirin, bun) in Kurdish. The change that takes place in the integration process can be explained by interference and long-lasting contact between the two languages. The results are in line with the findings reported by Dorleijn and Bulut who suggested that the influence is mostly unidirectional, which in turn suggests that external language change results in borrowing of some particles and grammatical chunks from Turkish

Influenza Epidemiology And Influenza Vaccine Effectiveness During The 2016-2017 Season In The Global Influenza Hospital Surveillance Network (Gihsn)

BackgroundThe Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016-2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016-2017 influenza season.MethodsA RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30days from other hospitalisation with symptoms onset within the 7days prior to admission. Patients 5years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE=(1-aOR)x100, where aOR is the adjusted Odds Ratio comparing cases and controls.ResultsAmong 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62-37.27. Vaccination seemed to confer better protection against influenza B and in people 2-4years, or 85years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59-5.76) comparing pregnant with non-pregnant women.ConclusionsVaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn't allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.Wo