Results 91 to 100 of about 1,434,136 (298)
Discretisation for odd quadratic twists [PDF]
, 2005 The discretisation problem for even quadratic twists is almost understood, with the main question now being how the arithmetic Delaunay heuristic interacts with the analytic random matrix theory prediction.
Conrey, J. Brian +3 more
core +3 more sources
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Learning-aided Stochastic Network Optimization with Imperfect State Prediction
, 2018 We investigate the problem of stochastic network optimization in the presence of imperfect state prediction and non-stationarity. Based on a novel distribution-accuracy curve prediction model, we develop the predictive learning-aided control (PLC ...
Ananthanarayanan G. +4 more
core +1 more source
On the Prediction of Growth Curves [PDF]
, 1996 The subject of this paper is generalized linear growth curve models. In the past, these types of growth curves have been studied by authors including J. Wishart, G.E.P. Box and C.R. Rao. Further attention was directed towards this subject ever since the publication of the seminal paper on the subject by R.F. Potthoff and S.N.
Jack C. Lee, Seymour Geisser
openaire +1 more source
Consistent Long-Term Yield Curve Prediction [PDF]
, 2012 We present an arbitrage-free non-parametric yield curve prediction model which takes the full (discretized) yield curve as state variable. We believe that absence of arbitrage is an important model feature in case of highly correlated data, as it is the case for interest rates.
Josef Teichmann, Mario V. W\\\"uthrich
openaire +2 more sources
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Frontiers in Cardiovascular MedicineBackgroundThis study is to examine the factors associated with short-term aortic-related adverse events in patients with acute type B aortic intramural hematoma (IMH).
Dujuan Meng +9 more
doaj +1 more source
The influence of regression curve parameters of creep behaviour on measured data prediction
MATEC Web of Conferences, 2017 This study deals with the study of the influence of regression curve parameters on prediction of possibilities of measured data. In this study, the necessary introduction to polymer materials issues and their material structure which influences their ...
Reznicek Martin +2 more
doaj +1 more source
Impeded Growth of Magnetic Flux Bubbles in the Intermediate State Pattern of Type I Superconductors
, 2005 Normal state bubble patterns in Type I superconducting Indium and Lead slabs are studied by the high resolution magneto-optical imaging technique. The size of bubbles is found to be almost independent of the long-range interaction between the normal ...
A. Hubert +12 more
core +1 more source
Molecular Oncology, EarlyView.The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source