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Article ; Online: Quantitative analysis of spatiotemporal changes and driving forces of vegetation net primary productivity (NPP) in the Qimeng region of Inner Mongolia

Huazhu Xue / Yunpeng Chen / Guotao Dong / Jinyu Li

Ecological Indicators, Vol 154, Iss , Pp 110610- (2023)

2023

Abstract: Vegetation is an essential component of terrestrial ecosystems, and understanding the drivers of vegetation change is of great importance for ecological management. In recent years, vegetation growth has increased under the combined effect of global ... ...

Abstract	Vegetation is an essential component of terrestrial ecosystems, and understanding the drivers of vegetation change is of great importance for ecological management. In recent years, vegetation growth has increased under the combined effect of global warming and human activities in Inner Mongolia. The net primary productivity (NPP) was used as an indicator to study the spatial and temporal changes in vegetation in the Qimeng Region (QR). The residual trend analysis method was used to analyze the relative contributions of climate variations (CV) and human activities (HA) to NPP changes across the QR, while their drivers were explored using a geographical detector approach to quantify the driving forces of NPP. The results show that (1) NPP exhibited a fluctuating growth trend from 2003 to 2020, with an overall growth rate of 2.91%/year. (2) Precipitation, GDP and population density were the dominant driving factors for the spatial distribution of NPP. The combined explanatory power of any two dominant factors exceeded the power of any dominant individual factor, and the interaction between climate and human factors had a significant effect on NPP. (3) The change in NPP was influenced by the combined effect of HA and CV, accounting for 37.69% of the total area, with the relative contribution of HA being 51.75%. Finally, the relative contribution of human activities was slightly higher than that of climate change, confirming the initial success of the Grain to Green Program as well as ecological conservation projects. This paper provides a scientific basis for the local government to carry out the conversion of cropland to forest.
Keywords	NPP ; Driving force ; Geographical detectors ; Inner Mongolia ; Ecology ; QH540-549.5
Subject code	910
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Payload Based Malicious HTTP Traffic Detection Method Using Transfer Semi-Supervised Learning

Tieming Chen / Yunpeng Chen / Mingqi Lv / Gongxun He / Tiantian Zhu / Ting Wang / Zhengqiu Weng

Applied Sciences, Vol 11, Iss 7188, p

2021 Volume 7188

Abstract: Malicious HTTP traffic detection plays an important role in web application security. Most existing work applies machine learning and deep learning techniques to build the malicious HTTP traffic detection model. However, they still suffer from the ... ...

Abstract	Malicious HTTP traffic detection plays an important role in web application security. Most existing work applies machine learning and deep learning techniques to build the malicious HTTP traffic detection model. However, they still suffer from the problems of huge training data collection cost and low cross-dataset generalization ability. Aiming at these problems, this paper proposes DeepPTSD, a deep learning method for payload based malicious HTTP traffic detection. First, it treats the malicious HTTP traffic detection as a text classification problem and trains the initial detection model using TextCNN on a public dataset, and then adapts the initial detection model to the target dataset based on a transfer learning algorithm. Second, in the transfer learning procedure, it uses a semi-supervised learning algorithm to accomplish the model adaptation task. The semi-supervised learning algorithm enhances the target dataset based on a HTTP payload data augmentation mechanism to exploit both the labeled and unlabeled data. We evaluate DeepPTSD on two real HTTP traffic datasets. The results show that DeepPTSD has competitive performance under the small data condition.
Keywords	malicious traffic detection ; HTTP payload ; Data augmentation ; Transfer learning ; semi-supervised learning ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Learning to Segment Human by Watching YouTube.

Xiaodan Liang / Yunchao Wei / Liang Lin / Yunpeng Chen / Xiaohui Shen / Jianchao Yang / Shuicheng Yan

IEEE transactions on pattern analysis and machine intelligence

2016 Volume 39, Issue 7, Page(s) 1462–1468

Abstract: An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer reasonable mask information for the whole human body. Inspired by this, based on popular deep ... ...

Abstract	An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer reasonable mask information for the whole human body. Inspired by this, based on popular deep convolutional neural networks (CNN), we explore a very-weakly supervised learning framework for human segmentation task, where only an imperfect human detector is available along with massive weakly-labeled YouTube videos. In our solution, the video-context guided human mask inference and CNN based segmentation network learning iterate to mutually enhance each other until no further improvement gains. In the first step, each video is decomposed into supervoxels by the unsupervised video segmentation. The superpixels within the supervoxels are then classified as human or non-human by graph optimization with unary energies from the imperfect human detection results and the predicted confidence maps by the CNN trained in the previous iteration. In the second step, the video-context derived human masks are used as direct labels to train CNN. Extensive experiments on the challenging PASCAL VOC 2012 semantic segmentation benchmark demonstrate that the proposed framework has already achieved superior results than all previous weakly-supervised methods with object class or bounding box annotations. In addition, by augmenting with the annotated masks from PASCAL VOC 2012, our method reaches a new state-of-the-art performance on the human segmentation task.
Language	English
Publishing date	2016-08-05
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2016.2598340
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Isolation, characterization, genomic sequencing, and GFP-marked insertional mutagenesis of a high-performance nitrogen-fixing bacterium, Kosakonia radicincitans GXGL-4A and visualization of bacterial colonization on cucumber roots

Sun, Shuaixin / Jiejie Cheng / Qiongjie Li / Yunpeng Chen / Zhenchuan Zhang / Zhengliang Lan

Folia microbiologica. 2018 Nov., v. 63, no. 6

2018

Abstract: A gram-negative bacterium GXGL-4A was originally isolated from maize roots. It displayed nitrogen-fixing (NF) ability under nitrogen-free culture condition, and had a significant promotion effect on cucumber growth in the pot inoculation test. The ... ...

Abstract	A gram-negative bacterium GXGL-4A was originally isolated from maize roots. It displayed nitrogen-fixing (NF) ability under nitrogen-free culture condition, and had a significant promotion effect on cucumber growth in the pot inoculation test. The preliminary physiological and biochemical traits of GXGL-4A were characterized. Furthermore, a phylogenetic tree was constructed based on 16S ribosomal DNA (rDNA) sequences of genetically related species. To determine the taxonomic status of GXGL-4A and further utilize its nitrogen-fixing potential, genome sequence was obtained using PacBio RS II technology. The analyses of average nucleotide identity based on BLAST+ (ANIb) and correlation indexes of tetra-nucleotide signatures (Tetra) showed that the NF isolate GXGL-4A is closely related to the Kosakonia radicincitans type strain DSM 16656. Therefore, the isolate GXGL-4A was eventually classified into the species of Kosakonia radicincitans and designated K. radicincitans GXGL-4A. A high consistency in composition and gene arrangement of nitrogen-fixing gene cluster I (nif cluster I) was found between K. radicincitans GXGL-4A and other Kosakonia NF strains. The mutants tagged with green fluorescence protein (GFP) were obtained by transposon Tn5 mutagenesis, and then, the colonization of gfp-marked K. radicincitans GXGL-4A cells on cucumber seedling root were observed under fluorescence microscopy. The preferential sites of the labeled GXGL-4A cell population were the lateral root junctions, the differentiation zone, and the elongation zone. All these results should benefit for the deep exploration of nitrogen fixation mechanism of K. radicincitans GXGL-4A and will definitely facilitate the genetic modification process of this NF bacterium in sustainable agriculture.
Keywords	bacterial colonization ; corn ; cucumbers ; fluorescence microscopy ; genetic engineering ; Gram-negative bacteria ; green fluorescent protein ; insertional mutagenesis ; multigene family ; mutants ; nitrogen fixation ; nitrogen-fixing bacteria ; phylogeny ; ribosomal DNA ; roots ; seedlings ; sustainable agriculture ; transposons
Language	English
Dates of publication	2018-11
Size	p. 789-802.
Publishing place	Springer Netherlands
Document type	Article
ZDB-ID	240503-9
ISSN	1874-9356 ; 0015-5632
ISSN (online)	1874-9356
ISSN	0015-5632
DOI	10.1007/s12223-018-0608-1
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.

Yunchao Wei / Xiaodan Liang / Yunpeng Chen / Xiaohui Shen / Ming-Ming Cheng / Jiashi Feng / Yao Zhao / Shuicheng Yan

IEEE transactions on pattern analysis and machine intelligence

2016 Volume 39, Issue 11, Page(s) 2314–2320

Abstract: Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training such a DCNN usually relies on a large number of images with pixel-level segmentation masks, and ...

Abstract	Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training such a DCNN usually relies on a large number of images with pixel-level segmentation masks, and annotating these images is very costly in terms of both finance and human effort. In this paper, we propose a simple to complex (STC) framework in which only image-level annotations are utilized to learn DCNNs for semantic segmentation. Specifically, we first train an initial segmentation network called Initial-DCNN with the saliency maps of simple images (i.e., those with a single category of major object(s) and clean background). These saliency maps can be automatically obtained by existing bottom-up salient object detection techniques, where no supervision information is needed. Then, a better network called Enhanced-DCNN is learned with supervision from the predicted segmentation masks of simple images based on the Initial-DCNN as well as the image-level annotations. Finally, more pixel-level segmentation masks of complex images (two or more categories of objects with cluttered background), which are inferred by using Enhanced-DCNN and image-level annotations, are utilized as the supervision information to learn the Powerful-DCNN for semantic segmentation. Our method utilizes 40K simple images from Flickr.com and 10K complex images from PASCAL VOC for step-wisely boosting the segmentation network. Extensive experimental results on PASCAL VOC 2012 segmentation benchmark well demonstrate the superiority of the proposed STC framework compared with other state-of-the-arts.
Language	English
Publishing date	2016-12-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2016.2636150
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Piperazine ferulate exerts antihypertensive effect and improves endothelial function in vitro and in vivo via the activation of endothelial nitric oxide synthase.

Jianzhi, Shao / Qizeng, Wang / Bin, Lin / Wenhui, Lin / Yunpeng, Chen / Chenrong, Fan / Lin, Zheng / Huiting, Chen

Cellular and molecular biology (Noisy-le-Grand, France)

2019 Volume 65, Issue 3, Page(s) 119–124

Abstract: To investigate the effect of piperazine ferulate (PF) on hypertension and endothelial function, and to assess the possible underlying mechanism. Human umbilical vein endothelial cells (HUVEC), adult male Wistar Kyoto (WKY) rats aged 12 to 14 weeks, and ... ...

Abstract	To investigate the effect of piperazine ferulate (PF) on hypertension and endothelial function, and to assess the possible underlying mechanism. Human umbilical vein endothelial cells (HUVEC), adult male Wistar Kyoto (WKY) rats aged 12 to 14 weeks, and spontaneously hypertensive (SH) and Sprague Dawley (SD) rats were used for this study. Cell viability, activities of angiotensin-converting enzyme (ACE) and heme oxygenase-1 (HO-1), in vivo NO synthesis, arterial systolic blood pressure, vascular function, expressions of endothelial NO synthase (eNOS) and phosphorylated-eNOS (p-eNOS) were determined or assessed as appropriate. The results of MTT assay showed the number of viable cells were significantly increased with increase in PF concentration (p < 0.05). The level of expression of ACE was significantly reduced with increase in PF concentration (p < 0.05), while the level of HO-1 expression significantly increased (p < 0.05). Results of DAF-FM fluorescent staining showed that the amounts of NO synthesized in vivo was significantly higher in aortic rings of SH and SD rats treated with PF than in the corresponding control groups (p < 0.05). Treatment with PF in vivo significantly improved impaired acetylcholine-induced aortic relaxation in SH rats. Total eNOS expression was significantly increased after treatment with PF (p < 0.05). The expressions of total eNOS and p-eNOS in both groups were not affected by PF when compared to the control group. These results indicate that PF exerts antihypertensive effect and improves endothelial function in vitro and in vivo via the activation of eNOS.
MeSH term(s)	Animals ; Antihypertensive Agents/pharmacology ; Aorta/drug effects ; Blood Pressure/drug effects ; Cell Survival/drug effects ; Endothelium, Vascular/drug effects ; Endothelium, Vascular/enzymology ; Endothelium, Vascular/pathology ; Endothelium, Vascular/physiopathology ; Heme Oxygenase-1/metabolism ; Human Umbilical Vein Endothelial Cells/drug effects ; Human Umbilical Vein Endothelial Cells/metabolism ; Humans ; Nitric Oxide/metabolism ; Nitric Oxide Synthase Type III/metabolism ; Peptidyl-Dipeptidase A/metabolism ; Phosphorylation ; Piperazine/chemistry ; Piperazine/pharmacology ; Rats, Inbred WKY ; Rats, Sprague-Dawley ; Systole/drug effects ; Tumor Necrosis Factor-alpha/pharmacology
Chemical Substances	Antihypertensive Agents ; Tumor Necrosis Factor-alpha ; Piperazine (1RTM4PAL0V) ; Nitric Oxide (31C4KY9ESH) ; Nitric Oxide Synthase Type III (EC 1.14.13.39) ; Heme Oxygenase-1 (EC 1.14.14.18) ; Peptidyl-Dipeptidase A (EC 3.4.15.1)
Language	English
Publishing date	2019-03-31
Publishing country	France
Document type	Journal Article
ZDB-ID	1161779-2
ISSN	1165-158X ; 0145-5680
ISSN (online)	1165-158X
ISSN	0145-5680
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 3812: Show issues

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Jg. 1995 - 2021: Lesesall (2.OG)
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Article ; Online: Silibinin Causes Apoptosis and Cell Cycle Arrest in Some Human Pancreatic Cancer Cells

Wei Shi / Ying Dong / Jun Chen / Yakun Ge / Quanshun Li / Yunpeng Chen / Yuanxin Zhang

International Journal of Molecular Sciences, Vol 12, Iss 8, Pp 4861-

2011 Volume 4871

Abstract: Silibinin, an effective anti-cancer and chemopreventive agent in various epithelial cancer models, has been reported to inhibit cancer cell growth through mitogenic signaling pathways. However, whether it can inhibit human pancreatic carcinoma growth and ...

Abstract	Silibinin, an effective anti-cancer and chemopreventive agent in various epithelial cancer models, has been reported to inhibit cancer cell growth through mitogenic signaling pathways. However, whether it can inhibit human pancreatic carcinoma growth and what are the underlying mechanisms is still not well elucidated. Here, we evaluated the inhibitory proliferation effects of Silibinin in pancreatic carcinoma growth and examined whether Silibinin modulates cell cycle and apoptosis. Our results indicate that Silibinin effectively inhibited the pancreatic carcinoma AsPC-1, BxPC-3 and Panc-1 cells’ proliferation and caused apoptosis. Silibinin induced a decrease in S phase and cell cycle arrest in G1 phase in AsPC-1 cells, but had no obvious changes in BxPC-3 and Panc-1 cell cycle. Furthermore, these results suggest that Silibinin might be a candidate chemopreventive agent for pancreatic carcinoma therapy.
Keywords	Silibinin ; cell proliferation ; apoptosis ; cell-cycle arrest ; pancreatic cancer ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	610 ; 500
Language	English
Publishing date	2011-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Genetic polymorphism of angiotensin converting enzyme and risk of coronary restenosis after percutaneous transluminal coronary angioplasties

Shen Wang / Yuxiang Dai / Lingling Chen / Zhibing Dong / Yunpeng Chen / Chenguang Li / Xin Zhong / Wenhui Lin / Jifu Zhang

PLoS ONE, Vol 8, Iss 9, p e

evidence from 33 cohort studies.

2013 Volume 75285

Abstract: BACKGROUND: In the past decade, a number of cohort studies studies have been carried out to investigate the relationship between the insertion/deletion polymorphism of the gene encoding angiotensin-converting enzyme and risk of restenosis after ... ...

Abstract	BACKGROUND: In the past decade, a number of cohort studies studies have been carried out to investigate the relationship between the insertion/deletion polymorphism of the gene encoding angiotensin-converting enzyme and risk of restenosis after percutaneous transluminal coronary angioplasties in patients. However, these studies have yielded contradictory results. Genetic association studies addressing this issue are frequently hampered by insufficient power. We therefore performed a meta-analysis of the published studies to clarify this inconsistency and to establish a comprehensive picture of the relationship between ACE I/D polymorphism and post-PTCA restenosis risk. METHODS: Databases including Pubmed, EMBASE, ISI Web of Science, EBSCO, Cochrane Library databases and CNKI were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. The random-effects model was applied, addressing heterogeneity and publication bias. RESULTS: A total of 33 cohort studies involving 11,099 subjects were included. In a combined analysis, the OR for post-PTCA restenosis of the ACE DD genotype was 1.61 (95% CI: 1.27-2.04; P<10(-5)). In the subgroup analysis by intervention, significantly increased risks were also found in PTCA-stent and PTCA-balloon for the DD genotype of the polymorphism. CONCLUSIONS: Our meta-analysis showed that the DD genotype of ACE I/D polymorphism was significantly associated with increased risk of restenosis, particularly for PTCA-stent.
Keywords	Medicine ; R ; Science ; Q
Subject code	610
Language	English
Publishing date	2013-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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