This study identifies TOPK as a dual‐function target in gastric cancer: it drives tumor cell proliferation and migration, and under IFN‐γ stimulation, phosphorylates eIF4F complex component eIF4A1 to enhance STAT1 mRNA translation, thereby promoting PD‐L1/IDO1‐mediated tumor immunometabolic evasion.
Junbing Chen +16 more
wiley +1 more source
Robust Adaptive Beamforming With Subspace Projection and Covariance Matrix Reconstruction
In this paper, we present a subspace projection and covariance matrix reconstruction (SPCMR) algorithm for adaptive beamforming to improve the robustness against large SV mismatch.
Xiaoyu Ai, Lu Gan
doaj +1 more source
Deep learning effectively identifies and predicts modes but faces performance reduction under few-shot learning conditions. In this paper, a time series prediction framework for small samples is proposed, including a data augmentation algorithm, time ...
Yu-Lei Zhang +5 more
doaj +1 more source
Microglial GPR35 Ameliorates Epileptogenesis and Neuroinflammation via PDGFA Domain 2 Signaling
Activation of microglial G protein–coupled receptor 35 (GPR35) by L‐kynurenic acid (L‐Kyna) initiates a platelet‐derived growth factor A (PDGFA)–dependent phosphoinositide 3‐kinase–protein kinase B (PI3K–AKT) signaling cascade that dampens hippocampal neuroinflammation, thereby restraining epileptogenesis, lowering seizure susceptibility, and ...
Qi Wang +17 more
wiley +1 more source
NONPARAMETRIC CORRELOGRAM TO IDENTIFY THE GEOGRAPHIC DISTANCE OF SPATIAL DEPENDENCE ON LAND PRICES [PDF]
The spatial autocorrelation measurement of land prices uses a covariance function to describe the spatial dependence and it can be identified as a geographic distance on the correlogram.
Winsy WEKU +3 more
doaj +1 more source
On the causal interpretation of acyclic mixed graphs under multivariate normality [PDF]
In multivariate statistics, acyclic mixed graphs with directed and bidirected edges are widely used for compact representation of dependence structures that can arise in the presence of hidden (i.e., latent or unobserved) variables.
Drton, Mathias +2 more
core
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong +12 more
wiley +1 more source
Recursive fusion estimation for mobile robot localization under multiple energy harvesting sensors
This paper is concerned with the recursive fusion estimation‐based mobile robot localization (RL) problem by employing multiple energy harvesting sensors (EHSs).
Yanyang Lu, Hamid Reza Karimi
doaj +1 more source
An investigation into the Multiple Optimised Parameter Estimation and Data compression algorithm
We investigate the use of the Multiple Optimised Parameter Estimation and Data compression algorithm (MOPED) for data compression and faster evaluation of likelihood functions.
Anthony Lasenby +6 more
core +1 more source

