Results 31 to 40 of about 3,049 (238)
Unraveling liquid polymorphism in silicon driven out-of-equilibrium [PDF]
J. Chem. Phys. 153, 054502 (2020), 2020 Using nonequilibrium molecular dynamics (NEMD) simulations, we study the properties of supercooled liquids of Si under shear at T=1060K over a range of densities encompassing the low-density liquid (LDL) and high-density liquid (HDL) forms. This enables us to generate nonequilibrium steady-states of the LDL and HDL polymorphs, that remain stabilized in
arxiv +1 more source
Structural Properties of High and Low Density Water in a Supercooled Aqueous Solution of Salt [PDF]
J. Phys. Chem. B 115(6), 1461-1468 (2011), 2011 We consider and compare the structural properties of bulk TIP4P water and of a sodium chloride aqueous solution in TIP4P water with concentration c = 0.67 mol/kg, in the metastable supercooled region. In a previous paper [D. Corradini, M. Rovere and P. Gallo, J. Chem. Phys.
arxiv +1 more source
Urinary Neopterin and Microalbuminuria in Patients Treated by Low-density Lipoprotein Apheresis
Pteridines, 2005 Low-density lipoprotein (LDL)-apheresis is a method of extracorporeal elimination of LDL-cholesterol in patients with severe primary lipoprotein disorders.
Cermanová Melanie +8 more
doaj +1 more source
Label Distribution Learning from Logical Label [PDF]
arXiv, 2023 Label distribution learning (LDL) is an effective method to predict the label description degree (a.k.a. label distribution) of a sample. However, annotating label distribution (LD) for training samples is extremely costly. So recent studies often first use label enhancement (LE) to generate the estimated label distribution from the logical label and ...
arxiv
Asian Journal of Transfusion Science, 2017 Familial hypercholesterolemia (FH) is an autosomal dominant disorder due to mutation of apolipoprotein-B receptor gene causing severe dyslipidemia. Lifestyle modification and medical treatment attenuate the disease progression, but as these fail to ...
Kanchan Dogra +8 more
doaj +1 more source
Exploiting Multi-Label Correlation in Label Distribution Learning [PDF]
arXiv, 2023 Label Distribution Learning (LDL) is a novel machine learning paradigm that assigns label distribution to each instance. Many LDL methods proposed to leverage label correlation in the learning process to solve the exponential-sized output space; among these, many exploited the low-rank structure of label distribution to capture label correlation ...
arxiv
Weighted Linear Dynamic Logic [PDF]
EPTCS 226, 2016, pp. 149-163, 2016 We introduce a weighted linear dynamic logic (weighted LDL for short) and show the expressive equivalence of its formulas to weighted rational expressions. This adds a new characterization for recognizable series to the fundamental Sch\"utzenberger theorem. Surprisingly, the equivalence does not require any restriction to our weighted LDL.
arxiv +1 more source
Finite-size scaling investigation of the liquid-liquid critical point in ST2 water and its stability with respect to crystallization [PDF]
, 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
Rheumatology & Autoimmunity, 2023 Background The prognosis of focal segmental glomerulosclerosis patients with nephrotic syndrome is estimated to be 10%–20% in 5 years and 30%–50% in 10 years, leading to end‐stage kidney disease.
Shinji Kitajima +12 more
doaj +1 more source
Antioxidants, 2021 Aims: An abundance of epidemiological evidence demonstrates that elevated lipoprotein(a) (Lp(a)) represents a significant contributing risk factor towards the development of cardiovascular disease.
Tina Z. Khan +7 more
doaj +1 more source