oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 1 )

2019 ( 257 )

2018 ( 1488 )

2017 ( 1339 )

Custom range...

Search Results: 1 - 10 of 80964 matches for " Haiyun Liu "
All listed articles are free for downloading (OA Articles)
Page 1 /80964
Display every page Item
QTL Mapping for chinese northern-style steamed bread specific volume  [PDF]
Peng Wu, Bin Liu, Tao Zhou, Zhuokun Li, Jichun Tian, Haiyun Du, Jiteng Wang
Agricultural Sciences (AS) , 2011, DOI: 10.4236/as.2011.23028
Abstract: In this study, quantitative trait loci (QTLs) with additive effects, epistatic effects for CNSB specific volume in bread wheat (Triticum aestivum L.), were studied in cultivars Huapei 3 and Yumai 57 (Triticum aestivum L.). The DH population and the parents were planted in 2007 and 2008 in Tai’An and 2008 in Suzhou. QTL analyses were performed using the software of IciMapping v2.2 based on the mixed linear model. Five putative QTLs for CNSB specific volume were detected on 5 chromosomes where single QTLs explained 5.11% to 9.75% of phenotypic variations. All of them had negative effects on specific volume and were contributed by Yumai 57 alleles. Qsv-1B was detected in both environment 1 and 3 with 13.88% and 4.83% phenotypic variations which had positive effects and was transmitted by Huapei 3 alleles. Fourteen pairs of QTLs with epistatic effects were detected for specific volume. Seven major QTLs, Qsv-1B/Qsv-3A, Qsv-2D/Qsv-3A, Qsv-3A/Qsv- 5B1, Qsv-1B/Qsv-6D, Qsv-2D/Qsv-4D, Qsv-4A/ Qsv-6B and Qsv-3A/Qsv-7D could account for 13.88%、20.39%、18.88%、12.31%、18.78%、11.98%, and 17.05% of the phenotypic variation of specific volume. The information obtained in this study will be useful for manipulating the QTLs for CNSB specific volume property by molecular marker-assisted selection (MAS).
Adsorption behavior of ammonium by a bioadsorbent – Boston ivy leaf powder
Haiwei Liu,Yuanhua Dong,Haiyun Wang,Yun Liu
环境科学学报(英文版) , 2010,
Abstract: The adsorption behaviors of ammonium ions from aqueous solution by a novel bioadsorbent, the Boston ivy (Parthenocissus tricuspidata) leaf powder (BPTL) were investigated. The SEM images and FT-IR spectra were used to characterize BPTL. The mathematical models were used to analyze the adsorption kinetics and isotherms. The optimum pH range for ammonium adsorption by BPTL was found to be 5–10. The adsorption reached equilibrium at 14 hr, and the kinetic data were well fitted by the Logistic model. The intraparticle di usion was the main rate-controlling step of the adsorption process. The high temperature was favorable to the ammonium adsorption by BPTL, indicating that the adsorption was endothermic. The adsorption equilibrium fitted well to both the Langmuir model and Freundlich model, and the maximum monolayer adsorption capacities calculated from Langmuir model were 3.37, 5.28 and 6.59 mg N/g at 15, 25 and 35°C, respectively, which were comparable to those by reported minerals. Both the separation factor (RL) from the Langmuir model and Freundlich exponent (n) suggested that the ammonium adsorption by BPTL was favorable. Therefore, the Boston ivy leaf powder could be considered a novel bioadsorbent for ammonium removal from aqueous solution.
Identification of Nodal Kink in Electron-Doped (Nd1.85Ce0.15)CuO4 Superconductor from Laser-Based Angle-Resolved Photoemission Spectroscopy
Liu Haiyun,Liu Guodong,Zhang Wentao,Zhao Lin
EPJ Web of Conferences , 2012, DOI: 10.1051/epjconf/20122300005
Abstract: High-resolution laser-based angle-resolved photoemission measurements have been carried out on the electron-doped (Nd1.85Ce0.15)CuO4 high temperature superconductor. We have revealed a clear kink at ~60 meV in the dispersion along the (0,0)–(π,π) nodal direction, accompanied by a peak-dip-hump feature in the photoemission spectra. This indicates that the nodal electrons are coupled to collective excitations (bosons) in electron-doped superconductors, with the phonons as the most likely candidate of the boson. This finding has established a universality of nodal electron coupling in both hole- and electron-doped high temperature cuprate superconductors.
An automated and simple method for brain MR image extraction
Haiyan Zhang, Jiafeng Liu, Zixin Zhu, Haiyun Li
BioMedical Engineering OnLine , 2011, DOI: 10.1186/1475-925x-10-81
Abstract: The method uses an improved geometric active contour model which can not only solve the boundary leakage problem but also is less sensitive to intensity inhomogeneity. The method defines the initial function as a binary level set function to improve computational efficiency. The method is applied to both our data and Internet brain MR data provided by the Internet Brain Segmentation Repository.The results obtained from our method are compared with manual segmentation results using multiple indices. In addition, the method is compared to two popular methods, Brain extraction tool and Model-based Level Set.The proposed method can provide automated and accurate brain extraction result with high efficiency.Brain extraction which segments magnetic resonance (MR) head images into brain and non-brain region is often required for analyses of neuroimage data. Accurate and automated brain extraction plays an important role in the analyses because brain region should be isolated before other processing algorithms such as tissue classification, registration or cortical surface reconstruction can be made [1-3]. For example, functional images such as Functional magnetic resonance image (FMRI) and Positron Emission Tomography (PET) image usually contain few non-brain tissues, whereas high resolution MR images often contain some non-brain tissues(i.e., skin, fat, muscle, etc.), and if the non-brain tissues of MR images can be accurately removed beforehand, the registration robustness will be improved greatly [2]. Furthermore, as a pre-processing step, brain extraction is usually performed before a full segmentation of the brain region into grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF), so that the segmentation problem can be simplified [4,5]. On the other hand, brain extraction is also a difficult and time-consuming pre-processing step performed in neuroimage analysis due to the complexity of human brain anatomy and weak boundaries between brain and non-brain t
Dynamics and functions of the actin cytoskeleton during the plant cell cycle
PeiWei Liu,Ming Qi,XiuHua Xue,HaiYun Ren
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-011-4801-8
Abstract: In eukaryotic cells, the course of the cell cycle depends on correct cytoskeleton arrangement. The cell cycle consists of several phases, and in each of them the cytoskeleton has a unique structure and set of characteristics. The dynamics of the cytoskeleton together with its binding proteins greatly contribute to progression of the cell cycle. Here, we mainly review recent research on the dynamic distribution of the actin cytoskeleton and actin-binding proteins, and the mechanisms by which they affect the progression of the plant cell cycle.
A remark on Ishikawa iteration
Haiyun Zhou
Chinese Science Bulletin , 1997, DOI: 10.1007/BF03182637
Abstract:
Poly[[[tetraaquacobalt(II)]-μ-bipyridine] terephthalate]
Haiyun Xu
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536807064045
Abstract: The CoII atom in the title complex, {[Co(C10H8N2)(H2O)4](C8H4O4)}n, is coordinated by two N atoms of two bipyridine ligands and four O atoms of four water molecules in an octahedral geometry. The one-dimensional [Co(C10H8N2)(H2O)4]2+ cation chain is further extended into a supramolecular network via O–H...O hydrogen-bond interactions. The Co atom lies on a twofold rotation axis; another twofold rotation axis passes through the carboxylate carbon atoms and the attached ring C atoms.
Vision-Related Quality of Life and Self-Rated Satisfaction Outcomes of Rhegmatogenous Retinal Detachment Surgery: Three-Year Prospective Study
Haidong Zou, Xi Zhang, Xun Xu, Haiyun Liu, Lin Bai, Xian Xu
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0028597
Abstract: Background Subjective functional outcomes measurements, such as vision health-related quality of life (VRQoL) and self-rated satisfaction measures can provide helpful multidimensional vision health information that is more comprehensive than traditional objective measures, such as best corrected visual acuity (BCVA). The purpose of this study is to demonstrate 3-year longitudinal postoperative VRQoL and self-rated satisfaction changes after rhegmatogenous retinal detachment (RRD) surgery. Methodology/Principal Findings A prospective case series report was conducted in 92 RRD patients who underwent surgery during January 2004 through December 2006. Preoperative, 3-month, 1-year and 3-year postoperative patient VRQoL and self-rated satisfaction were assessed by face-to-face interviews. The importance of objective variables for predicting three dependent variables: CLVQOL composite scores change, 3-year postoperative CVLQOL composite score and self-rated satisfaction degree scores were calculated by stepwise multivariate linear or logistic regression analysis methods. Results The total CLVQOL composite scores change ranged between -48 and 90 (mean±standard deviation: 19.48±31.34), including positive changes in 62 patients. The self-rated satisfaction degree scores ultimately improved in 86 patients as compared with preoperative degrees. Statistically significant increases occurred only in the composite scores of subscale mobility and self-rated satisfaction degrees in the first 3 months, while the composite scores of the remaining subscales, and the total CLVQOL, BCVA in the RRD eye and weighted average BCVA, increased steadily throughout the first postoperative year. A better 3-year postoperative weighted average BCVA was associated with all of the 3 dependent outcome variables. Conclusions VRQoL of RRD patients improved substantially after surgery and they were satisfied with their postoperative vision. The BCVA, VRQoL and self-rated satisfactory degree scores recovered in different patterns, and supplemented each other in the RRD surgery outcomes evaluated. Surgeons are advised to pay closer attention to binocular vision in RRD patients, and make efforts to explain the results of surgery.
Viscosity of Liquid Conductor in Horizontal Magnetic Field
导电流体在水平磁场中的粘度

Zhang Wen,Liu Caichi,Wang Haiyun,
张雯
,刘彩池,王海云

半导体学报 , 2005,
Abstract: 采用回转振荡法,在向导电流体所在空间引入水平可调永磁磁场的条件下,测量研究了导电流体--液态汞(20℃)的粘度. 结果表明,液态汞的粘度随磁场强度的增大而增加,二者呈光滑的抛物线关系. 液态汞在磁场中粘度增加的现象与磁场导致的固态导电物质的磁粘滞效应现象相似,可以用磁场对带电运动粒子的作用简单直观地解释液态汞在磁场中粘度增加的机理. 这些研究成果为研究磁场直拉硅单晶生长提供了理论依据.
Predicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network Model
Naiqian Zhang?,Haiyun Wang?,Yun Fang?,Jun Wang?,Xiaoqi Zheng?,X. Shirley Liu
PLOS Computational Biology , 2015, DOI: 10.1371/journal.pcbi.1004498
Abstract: The ability to predict the response of a cancer patient to a therapeutic agent is a major goal in modern oncology that should ultimately lead to personalized treatment. Existing approaches to predicting drug sensitivity rely primarily on profiling of cancer cell line panels that have been treated with different drugs and selecting genomic or functional genomic features to regress or classify the drug response. Here, we propose a dual-layer integrated cell line-drug network model, which uses both cell line similarity network (CSN) data and drug similarity network (DSN) data to predict the drug response of a given cell line using a weighted model. Using the Cancer Cell Line Encyclopedia (CCLE) and Cancer Genome Project (CGP) studies as benchmark datasets, our single-layer model with CSN or DSN and only a single parameter achieved a prediction performance comparable to the previously generated elastic net model. When using the dual-layer model integrating both CSN and DSN, our predicted response reached a 0.6 Pearson correlation coefficient with observed responses for most drugs, which is significantly better than the previous results using the elastic net model. We have also applied the dual-layer cell line-drug integrated network model to fill in the missing drug response values in the CGP dataset. Even though the dual-layer integrated cell line-drug network model does not specifically model mutation information, it correctly predicted that BRAF mutant cell lines would be more sensitive than BRAF wild-type cell lines to three MEK1/2 inhibitors tested.
Page 1 /80964
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.