Formononetin (FMNT), a flavonoid identified from the Chinese herb Astragalus membranaceus, possesses anti-inflammatory or anti-oxidative properties in different human diseases. This study aims to comprehensively elucidate function of FMNT atherosclerosis and its underlying mechanisms. Online public databases were used identify drug-disease targets. Protein-protein interaction (PPI), Gene Ontology (GO), Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment applied explore potential...

Hybrid sedimentary shales (HSS) are key components of continental shale oil resources. The inherent heterogeneity HSS lead to rapid variations in content and mobility, complicating sweet spot prediction. Previous studies have classified lithofacies assessed content. However, favourable for mobility remains debated. This study the Shahejie Formation from Dongpu Depression, Bohai Bay Basin into massive argillaceous (Lithofacies I), bedded II), laminated calcareous III) based on texture,...

As face editing scenarios have become popular, the inpainting technique has a hot topic. Although some existing methods can inpaint faces with preserved identity information, they fail to solve more flexible problem that fills "holes" identity-specific content from other faces. In this work, we propose disentangle and subject-agnostic framework affects both full partial-face guidance of reference image. The consists an encoding module, inference module generative module. extracts embedding...

In this article, we have introduced a novel system design framework for dynamic, data-driven processing of multispectral video streams using LD techniques. The is motivated by the need efficient and accurate in wide variety systems air ground environments. This framework, called LDspectral, designed to incorporate selection subsets bands as core, front-end step process. Band subset opens up large space adaptation that influences key metrics, including accuracy computational efficiency. We...

An event camera is a novel bio-inspired sensor that effectively compensates for the shortcomings of current frame cameras, which include high latency, low dynamic range, motion blur, etc. Rather than capturing images at fixed rate, an produces asynchronous signal by measuring brightness change each pixel. Consequently, appropriate algorithm framework can handle unique data types event-based vision required. In this paper, we propose object tracking using to achieve long-term stable objects....

Traditional object detectors require extensive instance-level annotations for training. Conversely, few-shot detectors, which are generally fine-tuned using limited data from unknown classes, tend to show biases toward base categories and susceptible variations within these samples. To mitigate challenges, we introduce a Two-Stage Fine-Tuning Approach (TFA) named Extreme R-CNN, designed operate effectively with extremely original samples through the integration of sample synthesis knowledge...

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Honglei Li, Jennifer E. Michaels, Sang Jun Lee, Thomas Michaels; Quantification of surface wetting in plate-like structures via guided waves. AIP Conf. Proc. 17 May 2012; 1430 (1): 217–224. https://doi.org/10.1063/1.4716233 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers...

This paper describes a wavelet artificial neural network (ANN) for signal classification, and applies it transformer Fault Detection with dissolved gas analysis (DGA). The weights of the are replaced by functions corrected conjugate gradient method in training iteration. Preliminary simulation results show ANN DGA can get 95% correct diagnosis rate, superior then BP ANN. Besides, precondition techniques input data is studied, suitable algorithm play an important role

In intelligent transportation systems, various sensors, including radar and conventional frame cameras, are used to improve system robustness in challenging scenarios. An event camera is a novel bio-inspired sensor that has attracted the interest of several researchers. It provides form neuromorphic vision capture motion information asynchronously at high speeds. Thus, it possesses advantages for systems cameras cannot match, such as temporal resolution, dynamic range, well sparse minimal...

The event camera is a novel bio-inspired sensor that has attracted the interest of many researchers. As neuromorphic vision, different from traditional frame-based cameras. It such advantages for high-speed object detection conventional cameras can't match, e.g., high temporal resolution, dynamic range (HDR), sparse and minimal motion blur. In this paper, we propose EventMD an adaptive framework moving using event-based dataset collected real traffic scenes event-camera Celex-V. key...

Occlusion in facial photos poses a significant challenge for machine detection and recognition. Consequently, occluded face recognition camera-captured images has emerged as prominent widely discussed topic computer vision. The present standard methods have achieved remarkable performance unoccluded but performed poorly when directly applied to datasets. main reason lies the absence of identity cues caused by occlusions. Therefore, direct idea recovering areas through an inpainting model...

This study aims to investigate the clinical acceptability of 18F-FDG Patlak imaging in a high-sensitivity short-axial PET/CT scanner by comparing various protocols and employing deep learning-based denoising algorithm. involved 15 patients who received dual-time injection (80% dose administered at first remaining 20% second starting 80 min post-injection). Four were generated account for different arterial input functions (AIF), whole-body passes (3, 4, 5, 6, 7 × 5 min/pass) obtained between...

According to the motion characteristics of GNSS receiver carrier under high dynamic conditions, a signal statistical model conditions is established. In order solve problem that depth traditional CMT algorithm will become shallow while nulling widened, widening and deepening based on Gauss distribution proposed. The preprocesses data by projection transformation, extracts interference components from sampled signal, enhances weighting coefficients, widens deepens nulling, constructs new...

We propose a new image steganographic method that offers high payload and low distortion. The proposed affects the histogram slightly, which will be helpful to resist attacks based on characteristic function of histogram. scramble secret message (especially format) cover make pixels all gray scales evenly distributed in blocks, use diamond coding embed scrambled into image. Scrambling transform is cyclical, thus stego-image can recovered. Experimental results reveal our approach achieves...

A new diagnostic apparatus for online detecting gases dissolved in transformer oil is described, which polytetrafluoroethylene membrane with microholes used to separate H/sub 2/, CO, CH/sub 4/, C/sub 2/H/sub 4/ and 6/ from the oil. Mixed are further separated single gas by multiple chromatograph columns, then they detected a sensitive hot wire detector. The whole supervising system inexpensive proved be useful practice.

One of the important factors affecting monitoring receiver ranging accuracy GPS is channel delay error, and effect variation in especially high latitude environment temperature on must be taken into consideration. A statistical analysis carried out data which varies with by using online self-correcting method Paper. From results, it clear that regularly, receiver's can effectively improved modifying according to temperature.