Showing 1,801 - 1,809 results of 1,809 for search '((((certification OR certification) OR classifications) OR modifications) OR modification)', query time: 0.10s Refine Results
  1. 1801
  2. 1802

    Traitement précoce des LCH irréductibles du nouveau-né by Assi, Chahine

    Published 2014
    “…Parmi elles, 8 étaient initialement bilatérales avec un côté réductible : – 3 LCHI bilatérales ; – type de LCH – hanches luxées irréductibles selon la classification de Couture et al. ou Tönnis 3 et 4 ; – l’examen clinique montre une rétraction marquée des adducteurs et une impossibilité de réduction de la luxation ; – l’échographie montre une hypertrophie du cartilage acétabulaire, voire convexe et une inversion du limbus. …”
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  3. 1803

    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer by Andrea Remo (447375)

    Published 2015
    “…<h3>Background</h3><p dir="ltr">Inflammatory breast cancer (IBC) is the most rare and aggressive variant of breast cancer (BC); however, only a limited number of specific gene signatures with low generalization abilities are available and few reliable biomarkers are helpful to improve IBC classification into a molecularly distinct phenotype. …”
  4. 1804

    Impact of obesity on patients with ventilator-associated pneumonia: the paradox continues by El Labban, Mohamad

    Published 2023
    “…Further subclassification of the obesity group according to BMI is as follows: BMI 30-40 (151 (3.5%), BMI 40-50 (143 (3.3%), BMI above 50 (95 (2.2), and without BMI classification (108 (2.5%). The Mean age in both groups was around 58 years, 66% were females in the group with obesity compared to 40% in the control group. …”
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  5. 1805

    Disease-Associated α-Synuclein Aggregates as Biomarkers of Parkinson Disease Clinical Stage by Nour Majbour (3528548)

    Published 2022
    “…</p><h3>Discussion</h3><p dir="ltr">We showed that combining SAA and ELISA assays is a more promising diagnostic tool than SAA alone, providing information about the disease stage by correlating with clinical measures of disease severity.</p><h3>Classification of Evidence</h3><p dir="ltr">This study provides Class III evidence that CSF-seeded αSyn oligomers can accurately discriminate patients with PD and normal controls and CSF-seeded αSyn oligomers levels correlate with PD severity.…”
  6. 1806

    Transforming Towards Secure Global Trade for Customs Administrations Powered by Blockchain by Abunqira, Hussam

    Published 2020
    “…The first method reported significant results that can provide classification with 83% in terms of accuracy. While, the accuracy in the extended work for the first method achieved a higher accuracy of 92%. …”
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  7. 1807

    Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019 by Hmwe Hmwe Kyu (8674014)

    Published 2022
    “…We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. …”
  8. 1808

    What’s So Great About Home? by Marroum, Marianne

    Published 2008
    “…Physically scattered all over Beirut, they moved intellectually in different circles and became increasingly feminist in their orientation.4 Other critics, such as Mona Amyuni, reject Cooke’s classification of al-Shaykh as a Beirut Decentrist because none of her works were written while in Lebanon. …”
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  9. 1809

    Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models by AL SHAMSI, ARWA AHMED

    Published 2023
    “…The study of thoughts, feelings, judgments, values, attitudes, and emotions regarding goods, services, organizations, persons, tasks, occasions, titles, and their attributes is known as sentiment analysis and it involves a polarity classification task for recognizing positive, negative, or neutral text to quantify what individuals believe using textual qualitative data. …”
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