Multi‐scale model predicting friction of crystalline materials
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Materials Interfaces"
DOI: 10.1002/admi.202100914
Abstract: A multi‐scale computational framework suitable for designing solid lubricant interfaces fully in silico is presented. The approach is based on stochastic thermodynamics founded on the classical thermally activated 2D Prandtl–Tomlinson model, linked with first principles… read more here.
Keywords: scale model; multi scale; friction; model predicting ... See more keywords
Establishment of a nine‐gene prognostic model for predicting overall survival of patients with endometrial carcinoma
Sign Up to like & getrecommendations! Published in 2018 at "Cancer Medicine"
DOI: 10.1002/cam4.1498
Abstract: Endometrial carcinoma (EC) is the most common malignant tumor of the female genital tract in developed countries. The prognosis of early stage EC is favorable, but a subset faces high risk of cancer progression or… read more here.
Keywords: risk; model predicting; predicting overall; prognostic model ... See more keywords
Development of a model predicting the risk of eight major postoperative complications after esophagectomy based on 10 826 cases in the Japan National Clinical Database
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Surgical Oncology"
DOI: 10.1002/jso.25800
Abstract: Esophagectomy is a highly invasive procedure with a high incidence of complications. The objectives of this study were to create risk prediction models for postoperative morbidity associated with esophagectomy and to test their performance using… read more here.
Keywords: risk eight; risk; predicting risk; model predicting ... See more keywords
Nomogram and Validity of a Model for Predicting Malnutrition in Patients on Liver Transplant Lists
Sign Up to like & getrecommendations! Published in 2018 at "Digestive Diseases and Sciences"
DOI: 10.1007/s10620-018-5079-3
Abstract: BackgroundMalnutrition is associated with increased morbimortality in liver transplant patients, and it is important to identify factors related to nutritional status in these patients.AimsDetermine variables associated with malnutrition and create a nomogram in liver transplant… read more here.
Keywords: malnutrition; model predicting; validity model; liver transplant ... See more keywords
Establishment and evaluation of a model for predicting 3-month mortality in Chinese patients with hepatic encephalopathy
Sign Up to like & getrecommendations! Published in 2018 at "Metabolic Brain Disease"
DOI: 10.1007/s11011-018-0333-0
Abstract: Hepatic encephalopathy (HE) is a serious complication of liver disease. To establish a model for predicting 3-month mortality in patients with HE in China. This retrospective study included 609 patients with HE admitted to the… read more here.
Keywords: model predicting; predicting month; group; mortality ... See more keywords
A model for predicting the frost-heave effect of a pile embedded in the frozen soil
Sign Up to like & getrecommendations! Published in 2018 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2017.10.005
Abstract: Abstract A model for predicting the frost-heave effect on a single pile embedded in the frozen soil is proposed in this study. In the model, the half-space saturated soil is considered to be composed of… read more here.
Keywords: frozen soil; model predicting; frost heave; pile ... See more keywords
A model for predicting missing items on the Health of the Nation Outcome Scale (HoNOS).
Sign Up to like & getrecommendations! Published in 2019 at "Comprehensive psychiatry"
DOI: 10.1016/j.comppsych.2019.06.005
Abstract: HoNOS is one of the most widely used clinician rated outcome measures in mental health services. A commonly encountered problem is that one or more of the 12 individual HoNOS items is left uncompleted (missing… read more here.
Keywords: predicting missing; items health; honos; missing items ... See more keywords
A discrete micromechanical model for predicting HSC compressive strength based on a yield design approach
Sign Up to like & getrecommendations! Published in 2018 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2018.04.197
Abstract: Abstract This paper presents a discrete micromechanical model for predicting high strength concrete compressive strength. A numerical model is proposed based on a Voronoi tessellation which represents concrete as a set of aggregates interacting within… read more here.
Keywords: strength; model predicting; discrete micromechanical; model ... See more keywords
Micromechanics based multi-level model for predicting the coefficients of thermal expansion of hybrid fiber reinforced concrete
Sign Up to like & getrecommendations! Published in 2018 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2018.09.030
Abstract: Abstract This study is involved with presenting a multi-level micromechanical model for predicting the coefficients of thermal expansion (CTE) of randomly distributed and oriented short hybrid fiber reinforced concrete (HFRC), which includes the cement paste… read more here.
Keywords: model predicting; predicting coefficients; multi level; level ... See more keywords
Radiomics-based model for predicting pathological complete response to neoadjuvant chemotherapy in muscle-invasive bladder cancer.
Sign Up to like & getrecommendations! Published in 2021 at "Clinical radiology"
DOI: 10.1016/j.crad.2021.03.001
Abstract: AIM To develop and validate a radiomics-based model for predicting response to neoadjuvant chemotherapy (NAC) using baseline computed tomography (CT) images in patients with muscle-invasive bladder cancer (MIBC). MATERIALS AND METHODS A radiomics signature for… read more here.
Keywords: radiomics based; response; model predicting; model ... See more keywords
Accelerated oxidation method and simple kinetic model for predicting thermooxidative stability of edible oils under storage conditions
Sign Up to like & getrecommendations! Published in 2021 at "Food Packaging and Shelf Life"
DOI: 10.1016/j.fpsl.2021.100739
Abstract: Abstract A kinetic model for predicting thermooxidative stability of fats under storage conditions is developed and parametrized using induction periods (IPs) measured at different temperatures and oxygen pressures using the Oxitest method. The model does… read more here.
Keywords: predicting thermooxidative; thermooxidative stability; storage conditions; kinetic model ... See more keywords