Results 31 to 40 of about 272,494 (175)

The relation between coronary angiographic findings and lipoprotein (a) in patients with chronic stable angina with and without xanthelasma

open access: yesJournal of Medicine in Scientific Research, 2022
Introduction Atherosclerosis develops in many patients in the absence of classical risk factors. The serum level of lipoprotein [Lp (a)] is of utmost importance in such cases.
Emmanuel Louka Aziz, Mohamed A Morsy
doaj   +1 more source

Finite-size scaling investigation of the liquid-liquid critical point in ST2 water and its stability with respect to crystallization [PDF]

open access: yes, 2013
The liquid-liquid critical point scenario of water hypothesizes the existence of two metastable liquid phases---low-density liquid (LDL) and high-density liquid (HDL)---deep within the supercooled region. The hypothesis originates from computer simulations of the ST2 water model, but the stability of the LDL phase with respect to the crystal is still ...
arxiv   +1 more source

Preprocedural high - sensitivity C-reactive protein (hsCRP) decrease during intensive atorvastatin therapy: the presumable impact on atherosclerosis progression after coronary stenting [PDF]

open access: yesТерапевтический архив, 2019
Proinflammatory status is the risk factor for coronary atherosclerosis progression after coronary stenting (CS). Intensive statin treatment is associated with hsCRP concentration decline.
A M Shchinova   +11 more
doaj   +1 more source

The serum lipid profile of Parkinson\'s disease patients: A study from the Northwest of Iran

open access: yesCaspian Journal of Internal Medicine, 2021
Background: Parkinsonchr('39')s disease (PD) is defined as a long-lasting, neurological illness. Low levels of serum lipid fractions are related with a high risk of PD.
Samira Saedi   +7 more
doaj  

Parametric Linear Dynamic Logic [PDF]

open access: yesEPTCS 161, 2014, pp. 60-73, 2014
We introduce Parametric Linear Dynamic Logic (PLDL), which extends Linear Dynamic Logic (LDL) by temporal operators equipped with parameters that bound their scope. LDL was proposed as an extension of Linear Temporal Logic (LTL) that is able to express all $\omega$-regular specifications while still maintaining many of LTL's desirable properties like ...
arxiv   +1 more source

Effects of a Portfolio-Mediterranean Diet and a Mediterranean Diet with or without a Sterol-Enriched Yogurt in Individuals with Hypercholesterolemia [PDF]

open access: yesEndocrinology and Metabolism, 2020
Background A growing number of functional foods have been proposed to reduce cholesterol levels and the Portfolio Diet, which includes a combination of plant sterols, fibres, nuts, and soy protein, reduces low density lipoprotein cholesterol (LDL-C) from
Yvelise Ferro   +11 more
doaj   +1 more source

Rethinking Soft Label in Label Distribution Learning Perspective [PDF]

open access: yesarXiv, 2023
The primary goal of training in early convolutional neural networks (CNN) is the higher generalization performance of the model. However, as the expected calibration error (ECE), which quantifies the explanatory power of model inference, was recently introduced, research on training models that can be explained is in progress.
arxiv  

Inaccurate Label Distribution Learning [PDF]

open access: yesarXiv, 2023
Label distribution learning (LDL) trains a model to predict the relevance of a set of labels (called label distribution (LD)) to an instance. The previous LDL methods all assumed the LDs of the training instances are accurate. However, annotating highly accurate LDs for training instances is time-consuming and very expensive, and in reality the ...
arxiv  

Relationship between Physical Activity and Blood Lipid Profile in Residents of Yazd City (YaHS Study)

open access: yesMajallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, 2020
Introduction: Inadequate physical activity is one of the causes of fat disorders and regular physical activity is one of the important factors in correcting fat disorders.
Masoud Mirzaei, Farnaz Nekahi
doaj  

LDL: A Defense for Label-Based Membership Inference Attacks [PDF]

open access: yesarXiv, 2022
The data used to train deep neural network (DNN) models in applications such as healthcare and finance typically contain sensitive information. A DNN model may suffer from overfitting. Overfitted models have been shown to be susceptible to query-based attacks such as membership inference attacks (MIAs). MIAs aim to determine whether a sample belongs to
arxiv  

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