While lightweight ViT framework has made tremendous progress in image super-resolution, its uni-dimensional self-attention modeling, as well homogeneous aggregation scheme, limit effective receptive field (ERF) to include more comprehensive interactions from both spatial and channel dimensions. To tackle these drawbacks, this work proposes two enhanced components under a new Omni-SR architecture. First, an Omni Self-Attention (OSA) block is proposed based on dense interaction principle,...

Crohn's disease (CD) is a relapsing and chronic inflammatory bowel disease. Recent advances have highlighted that dysfunction of the barrier function formed by polarized monolayer columnar epithelial cells plays crucial role in pathophysiology CD. At present, we reported diosmetin increased cell viability reducing levels TNFα IL-6 lipopolysaccharide (LPS)-treated colonic Caco-2 cells. Meanwhile, conferred direct effect on maintaining integrity permeability increasing expression proteins...

To ensure the safe and stable operation of oxidant supply system in liquid oxygen (LOX)/kerosene rocket engines, cryogenic visualization experiments on direct contact condensation gaseous jets crossflow are conducted using as working fluid. The mass flux (GOX) is 200-800 kg/m2s, while temperature LOX 101 K. Under these operating conditions, violent oscillations occur. address this problem, paper proposes an image processing program to facilitate study flow patterns, oscillation frequency,...

Depth map super-resolution (DSR) plays an indispensable role in 3D vision. We discover non-trivial spectral phenomenon: the components of high-resolution (HR) and low-resolution (LR) depth maps manifest same intrinsic phase, phase RGB is a superset them, which suggests that phase-aware filter can assist precise use cues. Motivated by this, we propose phase-preserving DSR paradigm, named IPPNet, to fully exploit inter-modality collaboration mutually guided way. In nutshell, novel...

Stirred membrane reactors allow for catalyst recycling and product separation. However, fouling becomes a major problem limiting such reactors. In this work, the dynamic process mechanism of constant pressure filtration were investigated through experiments combined with computational fluid dynamics (CFD) simulation. The results show that according to Hermia model, model at high shear position is cake low due different particle accumulation speeds. Second, stronger rate or lower...

Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic human activity scenes. In industrial scenes, there are often variety of unpredictable anomalies, the method can play significant role these scenarios. However, lack applicable datasets methods specifically tailored for production scenarios due concerns regarding privacy security. To bridge this gap, we propose new dataset,...

A flexible CoNi@CNF electrochemical catalyst was developed using coaxial electrostatic spinning technology. The distribution and content of CoNi alloy nanoparticles on the surface carbon fibers were adjusted by regulating feed speed ratio outer inner axes spinning. results indicate that distributed fiber increased from 26.7 wt.% to 38.4 with an increase in axis. However, excessive precipitation leads segregation internal alloy, which is unfavorable for exposure active sites during...

Speckle noise is an inherent property of SAR images, which will reduce the performance targets recognition. The contour and shape in speckle images may be changed. Although convolution neural network has been widely used field recognition, it learns by automatically extracting features, CNN model still sensitive to noise. In this paper, multiplicative simulate influence single-source multi-source on recognition studied. By constructing different level data sets, we explore impact for three...

Radio environment map is an effective tool for electromagnetic awareness and spectrum resource management, which can be constructed by spatial interpolation methods. In order to improve the quality of radio construction, this paper applies machine learning technologies proposes a random forest algorithm improved golden jackal optimizer. Initially, establish regression model based on method using data measurement points. Then optimize parameters with help At last, utilize optimized...

Background: Crohn’s disease (CD) is a chronic and relapsing inflammatory bowel disease. Although barrier dysfunction has been shown to play crucial role in the pathophysiology of CD, but strategies drugs targeting integrity for treatment CD are limited.Hypothesis/Purpose: Diosmetin may be useful maintain colonic epithelial cells. Clarify molecular mechanisms diosmetin regulating barrier-related proteins.Methods: Barrier was evaluated by transepithelial electrical resistance (TEER)...

While lightweight ViT framework has made tremendous progress in image super-resolution, its uni-dimensional self-attention modeling, as well homogeneous aggregation scheme, limit effective receptive field (ERF) to include more comprehensive interactions from both spatial and channel dimensions. To tackle these drawbacks, this work proposes two enhanced components under a new Omni-SR architecture. First, an Omni Self-Attention (OSA) block is proposed based on dense interaction principle,...

A off-axis deposition method, which aligns the edge of substrate to normal plasma plume and makes at center substrate, is used deposit large-area DLC films. The distance between target time are optimized obtain uniform large area films on K9, fused silica glasses ZnS with diameter 50 mm. It shown that thickness uniformity method much better than on-axis method. for compared, possibility preparing discussed. In addition, transmission coated improved.

As the development of technology liquid crystal monitors, mobile communication terminal products with cameras integrally installed in have become more popular consumers. These must satisfy some requirements, for example, lens system a sufficient resolution and size larger than actual sensor consideration an assembly tolerance. In this paper, we provide high performance compact structure, which comprises small number lenses is terminal. system, both first second positive powers, third has...

At present, the acquisition cost of synthetic aperture radar (SAR) images is much higher than that optical images. The smaller azimuth granularity SAR target images, data acquisition. Therefore, on premise satisfying recognition accuracy convolutional neural network (CNN), increasing training set can effectively reduce and improve effective utilization data. In this paper, uniform down sampling in different degrees are used as set. origin three categories targets Moving Stationary Target...