نتایج جستجو برای: previously performance

تعداد نتایج: 1417365  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ارومیه - پژوهشکده ادبیات 1393

testing plays a vital role in any language teaching program. it allows teachers and stakeholders, including program administrators, parents, admissions officers and prospective employers to be assured that the learners are progressing according to an accepted standard (douglas, 2010). the problems currently facing language testers have both practical and theoretical implications but the first i...

Journal: :Journal of neurology, neurosurgery, and psychiatry 1980
M Feely M O'Callagan B Duggan N Callaghan

In a prospective study we used phenobarbitone to treat 13 new patients with epilepsy (eight adults and five children). Full seizure control was achieved in 11 patients and poor compliance was documented in one of the remaining two patients (in both of whom seizures were reduced by over 50%). Doses sufficient to give mean steady state plasma levels of more than 43 mumol/l (10 microgram/ml) appea...

2007
Lutz Naehrlich

The European Diagnostic Working Group presented comprehensive diagnostic algorithms for cystic fibrosis (CF) and confirmed the fundamental role of the sweat test for the diagnosis of CF. However, several important differences between well-accepted guidelines for sweat testing 3 and the recommendations of the Working Group need to be discussed. An adequate sweat sampling volume depends on the sa...

Journal: :International journal of epidemiology 2011
Allen Wilcox

The editors of IJE have commented on the surprising number of papers in their journal and other journals that fail to be cited even once. According to their most recent calculations, 17% of papers in IJE and 40% of those in Epidemiology achieve no recognition in the scientific literature. These numbers do not seem very plausible, so I decided to check. Using the most recent data available from ...

2017
Yuan Shi Craig A. Knoblock

We study the problem of improving a machine learning model by identifying and using features that are not in the training set. This is applicable to machine learning systems deployed in an open environment. For example, a prediction model built on a set of sensors may be improved when it has access to new and relevant sensors at test time. To effectively use new features, we propose a novel app...

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