Results 91 to 100 of about 82,940 (314)
Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
Extending Reliability of mmWave Radar Tracking and Detection via Fusion With Camera
IEEE Access, 2019 In this paper, a new radar-camera fusion system is presented. The fusion system takes into consideration the error bounds of the two different coordinate systems from the heterogeneous sensors, and further a new fusion-extended Kalman filter is utilized ...
Renyuan Zhang, Siyang Cao
doaj +1 more source
Certain Bounds for the Differences of Means [PDF]
, 2002 Let Pn,r(x) be the generalized weighted power means. We consider bounds for the differences of means in the following forms(β = 0)
Peng Gao, Gao, Peng
core
Error Bounds for Computer Arithmetics [PDF]
2019 IEEE 26th Symposium on Computer Arithmetic (ARITH), 2019 This note summarizes recent progress in error bounds for compound operations performed in some computer arithmetic. Given a general set of real numbers together with some operations satisfying the first standard model, we identify three types A, B, and C of weak sufficient assumptions implying new results and sharper error estimates.
openaire +1 more source
Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization
Molecular Oncology, EarlyView.In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu +13 more
wiley +1 more source
Error estimates for a physics-informed neural network in solving KdV equations
Machine Learning: Science and TechnologyThis paper aims to provide error bounds on physics-informed neural network (PINN) in solving Korteweg–de Vries (KdV) equations. We prove that a neural network equipped with two hidden layers and the tanh activation function can reduce the partial ...
Jia Guo, Ziyuan Liu, Chenping Hou
doaj +1 more source
A Note on Bounds for the Estimation Error Variance of a Continuous Stream With Stationary Variogram
, 1998 In this paper, by the use of an Ostrowski type integral inequality for double integrals, we establish an upper bound for the estimation error variance of a continuous stream with stationary ...
Dragomir, Sever S, Barnett, Neil S
core
Bounding errors of Expectation-Propagation
, 2016 Expectation Propagation is a very popular algorithm for variational inference, but comes with few theoretical guarantees. In this article, we prove that the approximation errors made by EP can be bounded. Our bounds have an asymptotic interpretation in the number $n$ of datapoints, which allows us to study EP's convergence with respect to the true ...
Guillaume P. Dehaene, Simon Barthelmé
openaire +3 more sources
Molecular Oncology, EarlyView.Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
Ruin Probability Approximations in Sparre Andersen Models with Completely Monotone Claims
Risks, 2019 We consider the Sparre Andersen risk process with interclaim times that belong to the class of distributions with rational Laplace transform. We construct error bounds for the ruin probability based on the Pollaczek−Khintchine formula, and develop ...
Hansjörg Albrecher, Eleni Vatamidou
doaj +1 more source