Glioma is a worldwide malignancy, which displays significantly active metastasis and angiogenesis.Interaction between long non-coding RNAs (lncRNAs) microRNAs (miRNAs) has been shown to play crucial role in regulating tumor properties.However, the potential of lncRNA X-inactive specific transcript (XIST) function as miRNA regulator its relevance glioma tumorigenicity angiogenesis have so far remained unclear.Expression analysis XIST cells revealed significant up-regulation.Interestingly,...

CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 56:231-244 (2013) - DOI: https://doi.org/10.3354/cr01156 Northern Hemisphere temperature reconstruction during last millennium using multiple annual proxies Feng Shi1,2, Bao Yang2,*, Aurèlien Mairesse3, Lucien von Gunten4, Jianping Li1, Achim Bräuning5, Fengmei Yang6, Xia Xiao1 1State Key Laboratory of Numerical Modeling for...

To address challenges such as the frequent misdetection of targets, missed detections multiple high computational demands, and poor real-time detection performance in video surveillance external breakage obstacles on transmission lines, we propose a lightweight target algorithm incorporating ACmix mechanism. First, ShuffleNetv2 backbone network is used to reduce model parameters improve speed. Next, attention mechanism integrated into Neck layer suppress irrelevant information, mitigate...

The peculiar velocities of dark matter halos are crucial to study many issues in cosmology and galaxy evolution. In this study, by using the state-of-the-art deep learning technique, a UNet-based neural network, we propose reconstruct velocity field from redshift-space distribution halos. Through point-to-point comparison examination various statistical properties, demonstrate that, reconstructed is good agreement with ground truth. power spectra components, including magnitude, divergence...

In recent years, deep-learning detection algorithms based on automatic feature extraction have become the focus of defect detection. However, limited by industrial field conditions, insufficient number images in collected dataset restricts effect deep learning. this paper, an algorithm strip steel classification using improved GAN and EfficientNet was proposed. First, label deconvolution network is constructed, where image labels were deconvolved layer to obtain conditional masks that...

As one of the forerunners econarratology, Marco Caracciolo has been devoting himself to enriching patterns and methods this contextual approach narratology. Contemporary Fiction Climate Uncertainty: Narrating Unstable Futures, final volume his NARMESH trilogy, explores both formal experiential dimensions narrative through an ecological ecocritical perspective demonstrates "how reading (or engaging with in other media) may train audiences acceptance or embrace uncertainty as a fundamental...

Tumor hypoxia contributes to the development of resistance chemotherapeutic drugs in several human cancer cell lines. Atovaquone, an anti-malaria drug approved by US Food and Drug Administration, has recently demonstrated anti-cancer effects vitro vivo models. To assess potential atovaquone as agent under colorectal carcinoma, EpCAM+CD44+ colon stem cells were isolated from HCT-116 through magnetic-activated sorting. The efficacy on cytotoxicity, tumorsphere formation, apoptosis, invasion...

In order to estimate the position and orientation of an object with a single camera, novel measurement method based on pinhole camera model five reference points is presented.Taking specially designed planar target monocular vision system, projection line built.According model, coordinates in coordinate system are estimated least-squares algorithm.Thus worked out.Experimental result shows that precision angle less than 0.2 • , displacement 0.1 mm.

Objective: Aim of the study was to investigate pathomorphological changes in liver and triangular cord porta hepatis biliary atresia assess relationship between degree differentiation fibroblasts fibrosis scores. Methods: From September 2005 May 2006, 21 patients with (66 ± 20 days old) underwent a Kasai procedure. The biopsy remnant were conserved. Five cases cholestasis syndrome 10 choledochal cyst used as control group. Liver biopsies performed micro- ultrastructure assessed...

Narrative theory has long been excluded from studies on the relationship between environment and literature, partly because scholars in ecocriticism favour realistic nonfictional texts, which d...

The peculiar velocities of dark matter halos are crucial to study many issues in cosmology and galaxy evolution. In this study, by using the state-of-the-art deep learning technique, a UNet-based neural network, we propose reconstruct velocity field from redshift-space distribution halos. Through point-to-point comparison examination various statistical properties, demonstrate that, reconstructed is good agreement with ground truth. power spectra components, including magnitude, divergence...

The spatiotemporal distribution of source areas for the early immigration white-backed planthopper, Sogatella furcifera (Horvάth), at Xiushan in middle reach Yangtze River China, was analyzed with HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) and ArcGIS 10.0. analysis based on light trap data collected during April–July 2000–2012. synoptic meteorology backgrounds periods were by GrADS (Grid Analysis Display System). catches S. varied monthly annually. started April to...

To detect water and pesticide flow rate for variable-rate spray, a new type liquid Differential Pressure (DP) sensor was introduced in this paper. The main problem that we attempt to solve on-line measurement, know the each moment adjust desirable spray system. This DP is composed of straight pipe with two branch pipes (an upstream downstream pipe) ends sensor. A pressure difference between detected converted into voltage signal by transmitted microprocessor determine rate. Using as working...

In the study of cosmology and galaxy evolution, peculiar velocity density field dark matter (DM) play a crucial role in studying many issues. Here, we propose UNet-based deep learning to reconstruct real-space DM from spatial distribution sparse sample halos redshift space. By comparing testing various properties, demonstrate that reconstructed is good agreement with actual situation. At $k<0.3~h/{\rm Mpc}$, reconstruction components, including magnitude divergence, outperforms traditional...