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This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal information of each pixel and the overall ordinal information is used to divide the local patch into subregions which are used for accumulating the LIOPs respectively. Therefore,(More)
Blood–brain barrier (BBB) leakage plays a key role in cerebral ischemia–reperfusion injury. It is quite necessary to further explore the characteristic and mechanism of BBB leakage during stroke. We induced a focal cerebral ischemia model by transient middle cerebral artery occlusion in male rats for defining the time course of BBB permeability within 120 h(More)
Heroin has been shown to elevate dopamine (DA) level. It is well known that an increase in DA oxidative metabolism leads to increased reactive oxygen species (ROS) formation, and thus, ROS have been frequently associated with neuronal cell death due to damage to carbohydrates, amino acids, phospholipids, and nucleic acids. This study investigated whether(More)
Previous work has shown that hydroxysafflor yellow A (HSYA), extracted from Carthamus tinctorius L. markedly extended the coagulation time in mice and exhibited a significant antithrombotic effect in rats. The present study was conducted to demonstrate further its neuroprotective effects on cerebral ischemic injury in both in vivo and in vitro studies. In(More)
—In the last few years, deep learning has lead to very good performance on a variety of problems, such as object recognition, speech recognition and natural language processing. Among different types of deep neural networks, convolutional neural networks have been most extensively studied. Due to the lack of training data and computing power in early days,(More)
Boron (B) deficiency is a worldwide problem, and Brassica napus is one of the most sensitive crops to B deficiency. To better understand the B starvation response of Brassica napus, we conducted a comparative proteomic analysis of seedling stage Brassica napus root between B-sufficient and B-limited conditions: 45 differentially expressed proteins were(More)
Convolutional-deconvolution networks can be adopted to perform end-to-end saliency detection. But, they do not work well with objects of multiple scales. To overcome such a limitation, in this work, we propose a recurrent attentional convolutional-deconvolution network (RACDNN). Using spatial transformer and recurrent network units, RACDNN is able to(More)
Plant architecture attributes, such as plant height, ear height, and internode number, have played an important role in the historical increases in grain yield, lodging resistance, and biomass in maize (Zea mays L.). Analyzing the genetic basis of variation in plant architecture using high density QTL mapping will be of benefit for the breeding of maize for(More)
This paper aims to build robust feature descriptors by exploring intensity order information in a patch. To this end, the local intensity order pattern (LIOP) and the overall intensity order pattern (OIOP) are proposed to effectively encode intensity order information of each pixel in different aspects. Specifically, LIOP captures the local ordinal(More)
Glioblastoma (GBM) is the most common and aggressive primary brain tumor. Great interest persists in useful therapeutic targets in GBM. Aberrant expression of long non-coding RNAs (lncRNAs) has been functionally associated with many cancers. Here, we elucidated the function and the possible molecular mechanisms of lncRNA XIST in human glioblastoma stem(More)