نتایج جستجو برای: descurania sophia

تعداد نتایج: 1539  

2009
Goverdhan Singh Florent Masseglia Céline Fiot Alice Marascu Pascal Poncelet

Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering (which has controversial properties). Unsupervised clustering for intrusion detection aims to i) group behaviours together depending on their similarity and ii) detect groups containing only one (or very few) behaviour(s). Such isolated behaviours seem to deviate from the model of nor...

Journal: Journal of Herbal Drugs 2017

Background & Aim:The main aim of this study was stabilizing D. Sophia beverage and reduce its sedimentation rate. Experimental: Xanthan and Carboxy methyl cellulose gums have been used in three levels (0.05, .01 and .02 gr/lit) and mixture of Guar-xanthan and carboxymethyl cellulose (each .1 g/l) and extracted dried gum from D. Sophia in (1, 2 an...

Several studies have tried to find an efficient agent to prevent or reverse gentamicin (Gm) induced acute kidney injury (AKI). In this study, we assessed the potential renal protective effects of Descurainia sophia (L.) Webb ex Prantl against Gm-induced nephrotoxicity in rats. Thirty-five male Wistar rats were categorized in five groups (n = 7 per group). Control group was treated with...

Journal: :Historia Mathematica 1986

Journal: :Études internationales 2007

Journal: :Journal of Advances in Medical and Biomedical Research 2021

The Effect of Descurainia Sophia Seed Extract on Nephrotoxicity Markers Induced by Acetaminophen in Mice

Journal: :EDIS 2021

The Featured Creatures collection provides in-depth profiles of insects, nematodes, arachnids and other organisms relevant to Florida. These are intended for the use interested laypersons with some knowledge biology as well academic audiences.

Journal: :Ghendtsche Tydinghen 1970

Journal: :Nova Revista Amazônica 2018

Journal: :Knowl.-Based Syst. 2008
David Patterson Niall Rooney Mykola Galushka Vladimir Dobrynin Elena Smirnova

In this paper, we present a novel textual case-based reasoning system called SOPHIA-TCBR which provides a means of clustering semantically related textual cases where individual clusters are formed through the discovery of narrow themes which then act as attractors for related cases. During this process, SOPHIA-TCBR automatically discovers appropriate case and similarity knowledge. It then is a...

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