Search results for: Zhen Ji

Items from 1 to 20 out of 148 results

article

Regulation of drought tolerance in Arabidopsis involves the PLATZ4‐mediated transcriptional repression of plasma membrane aquaporin PIP2;8

Miao Liu, Chunyan Wang, Zhen Ji, Junyao Lu, more

Plant A/T‐rich protein and zinc‐binding protein (PLATZ) transcription factors play important roles in plant growth, development and abiotic stress responses. However, how PLATZ influences plant drought tolerance remains poorly understood. The present study showed that PLATZ4 increased drought tolerance in Arabidopsis thaliana by causing stomatal closure. Transcriptional profiling analysis revealed...

article

Charge Balanced Vacancy Engineering to Enhance the Thermoelectric Properties of GeMnTe₂

Lei Gao, Wenhao Li, Sitong Wei, Xinyue Yang, more

physica status solidi (b) > 260 > 3 > n/a - n/a

As a derivative of GeTe and MnTe, GeMnTe₂ exhibits a cubic structure with no phase transition. Compared to GeTe, it is considerably cheaper and has a significantly high carrier concentration compared to MnTe, making it an excellent thermoelectric (TE) material with promising applications. Herein, a charge‐balanced vacancy engineering strategy is employed, resulting in a significant improvement in...

article

Mutation spectrum and genotype‐phenotype correlation of inherited retinal dystrophy in Taiwan

Zhen‐Ji Chen, Keng‐Hung Lin, Shi‐Huang Lee, Ren‐Juan Shen, more

Clinical & Experimental Ophthalmology > 48 > 4 > 486 - 499

Background Inherited retinal dystrophy (IRD) is a group of irreversible retinal degenerative disorders with significant genotypic and phenotypic heterogeneity, which cause difficulty in making a precise clinical diagnosis. Furthermore, the mutation spectrum of IRD in Taiwan remains unknown. Therefore, our study focused on investigating the spectrum of mutations among Taiwanese families with IRD using...

article

Application effect of pneumatic tourniquet with individualized pressure setting in orthopaedic surgery of extremities: A meta‐analysis

Lei Ding, Cai‐yun Ding, Yun‐lei Wang, Mei‐lan Wang, more

Journal of Advanced Nursing > 75 > 12 > 3424 - 3433

Aims To evaluate the application effect of individualized pressure setting strategy of pneumatic tourniquet in orthopaedic surgery. Background Some individualized setting pressures of pneumatic tourniquet are lower than the standard pressure recommended in the textbook (Nursing of Operating Room, People's Military Publishing House, 2008). Design Meta‐analysis. Data Sources CL, WOS, PubMed,...

article

Functional characterization of CEP250 variant identified in nonsyndromic retinitis pigmentosa

Xiu‐Feng Huang, Lue Xiang, Xiao‐Long Fang, Wei‐Qin Liu, more

Human Mutation > 40 > 8 > 1039 - 1045

Retinitis pigmentosa (RP) is the most common manifestation of inherited retinal diseases with high degree of genetic, allelic, and phenotypic heterogeneity. CEP250 encodes the C‐Nap1 protein and has been associated with various retinal phenotypes. Here, we report the identification of a mutation (c.562C>T, p.R188*) in the CEP250 in a consanguineous family with nonsyndromic RP. To gain insights...

article

Study on the thermal deformation behavior and microstructure of FGH96 heat extrusion alloy during two-pass hot deformation

Bin Fang, Gao-feng Tian, Zhen Ji, Meng-ya Wang, more

International Journal of Minerals, Metallurgy, and Materials > 2019 > 26 > 5 > 657-663

The change rules associated with hot deformation of FGH96 alloy were investigated by isothermal two-pass hot deformation tests in the temperature range 1050–1125°C and at strain rates ranging from 0.001 to 0.1 s⁻¹ on a Gleeble 3500 thermo-simulation machine. The results showed that the softening degree of the alloy between passes decreases with increasing temperature and decreasing strain rates. The...

article

Preparation and radar-absorbing properties of Al₂O₃/TiO₂/Fe₂O₃/Yb₂O₃ composite powder

Yi-fan Zhang, Zhen Ji, Ke Chen, Cheng-chang Jia, more

International Journal of Minerals, Metallurgy, and Materials > 2017 > 24 > 2 > 216-221

Al₂O₃/TiO₂/Fe₂O₃/Yb₂O₃ composite powder was synthesized via the sol–gel method. The structure, morphology, and radar-absorption properties of the composite powder were characterized by transmission electron microscopy, X-ray diffraction analysis and RF impedance analysis. The results show that two types of particles exist in the composite powder. One is irregular flakes (100–200 nm) and the other...

article

Study on the preparation of Pt nanocapsules

Yi-fan Zhang, Zhen Ji, Ke Chen, Bo-wen Liu, more

International Journal of Minerals, Metallurgy, and Materials > 2017 > 24 > 1 > 109-114

Ag@Pt core-shell nanoparticles (Ag@Pt NPs) were prepared by a co-reduction method. Pt nanocapsules with diameters of less than 10 nm were obtained by an electrochemical method. Cyclic voltammetry (CV) scanning was used to cavitate the Ag@Pt NPs, and the morphology, structure, and cavitation conditions were studied. The results indicate that the effective cavitation conditions to obtain Pt nanoparticles...

article

Manganese functionalized mesoporous molecular sieves Ti-HMS as a Fenton-like catalyst for dyes wastewater purification by advanced oxidation processes

Haiyan Song, Jiang-An You, Chunxia Chen, Han Zhang, more

Journal of Environmental Chemical Engineering > 2016 > 4 > 4(PA) > 4653-4660

Mn contained (Ti-)HMS catalysts were synthesized by in situ method using manganese acetate as Mn source. The samples were characterized by a series of techniques including XRD, N₂ sorption, UV-vis, FT-IR and TEM, and their catalytic performance were tested in oxidative decolorization of methylene blue (MB) or rhodamine B (RhB) in model wastewater. Mn/Ti-HMS(50) as an optimized sample maintained highly...

article

Effect of 6-BA on Physiological Changes in Two Palm Seedlings Under Varied Temperaures

Ruan Zhi-ping, Yao Bi-yan, Li Zhen-ji

Journal of Northeast Agricultural University (English Edition) > 2016 > 23 > 3 > 1-9

The effects of 6-benzylaminopurine (6-BA) on several physiological indexes of Caryota mitis and C. obtusa seedlings treated at varied temperatures were conducted, the leaves of the two palm species were sprayed with 0, 25, 50 and 100 mg · L⁻¹ 6-BA solutions, the activities of superoxide dismutase (SOD), peroxidase (POD), and the contents of malondialdehyde (MDA), proline, soluble protein, chlorophyll...

chapter

A more efficient method for domain repeat detection in WD-40 proteins

Nuosi Wu, Jiarui Zhou, Zexuan Zhu, Zhen Ji

2016 IEEE Congress on Evolutionary Computation (CEC) > 4728 - 4733

2016 IEEE Congress on Evolutionary Computation (CEC)

Structural biology is a branch of molecular biology and biochemistry, aiming to understand the interaction of molecules like proteins by observing their structures. Crystallization is one of the most widely used methods to identify protein structure, yet it is laborious and time-consuming. Researchers are seeking assistance from computers. This paper implements an improved WDSP program for recognizing...

chapter

A comparative study on decomposition-based multi-objective evolutionary algorithms for many-objective optimization

Xiaoliang Ma, Junshan Yang, Nuosi Wu, Zhen Ji, more

2016 IEEE Congress on Evolutionary Computation (CEC) > 2477 - 2483

2016 IEEE Congress on Evolutionary Computation (CEC)

Many-objective optimization problems pose challenges to the Pareto-based multi-objective optimization algorithms. Recent studies have suggested that decomposition is a promising method to improve the performance of multi-objective evolutionary algorithms on many-objective optimization problem. Various methods based on decomposition have been developed to solve many-objective problems in recent years...

chapter

Metabolomics biomarker discovery using multimodal memetic algorithm and multivariate mutual information based feature selection

Jiarui Zhou, Zhen Ji, Zexuan Zhu, Shan He

2016 IEEE Congress on Evolutionary Computation (CEC) > 3193 - 3199

2016 IEEE Congress on Evolutionary Computation (CEC)

Metabolomics data has the nature of small sample number, high dimensional, and noisy, which poses great challenges on its analysis. In this paper we propose a novel filter feature selection algorithm, namely MMAFS, for the metabolomics biomarker discovery. The MMAFS utilizes a metaheuristics chain based multimodal memetic algorithm to effectively select both local and global optimal feature subgroups...

article

Enhanced Generation of Integration-free iPSCs from Human Adult Peripheral Blood Mononuclear Cells with an Optimal Combination of Episomal Vectors

Wei Wen, Jian-Ping Zhang, Jing Xu, Ruijun Jeanna Su, more

Stem Cell Reports > 2016 > 6 > 6 > 873-884

We previously reported the generation of integration-free induced pluripotent stem cells from adult peripheral blood (PB) with an improved episomal vector (EV) system, which uses the spleen focus-forming virus U3 promoter and an extra factor BCL-XL (B). Here we show an ∼100-fold increase in efficiency by optimizing the vector combination. The two most critical factors are: (1) equimolar expression...

chapter

Gene Clustering Using Particle Swarm Optimizer Based Memetic Algorithm

Zhen Ji, Wenmin Liu, Zexuan Zhu

Lecture Notes in Computer Science > Advances in Swarm Intelligence > Hybrid Algorithms > 587-594

K-means is one of the most commonly used clustering methods for analyzing gene expression data, where it is sensitive to the choice of initial clustering centroids and tends to be trapped in local optima. To overcome these problems, a memetic K-means (MKMA) algorithm, which is a hybridization of particle swarm optimizer (PSO) based memetic algorithm (MA) and K-means, is proposed in this paper. In...

chapter

Tuning Kernel Parameters with Different Gabor Features for Face Recognition

Linlin Shen, Zhen Ji, Li Bai

Lecture Notes in Computer Science > Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence > Kernel Methods and Support Vector Machines > 881-890

Kernel methods like support vector machine, kernel principal component analysis and kernel fisher discriminant analysis have recently been successfully applied to solve pattern recognition problems such as face recognition. However, most of the papers present the results without giving kernel parameters, or giving parameters without any explains. In this paper, we present an experiments based approach...

chapter

A SVM Face Recognition Method Based on Optimized Gabor Features

Linlin Shen, Li Bai, Zhen Ji

Lecture Notes in Computer Science > Advances in Visual Information Systems > Visual Biometrics > 165-174

A novel Support Vector Machine (SVM) face recognition method using optimized Gabor features is presented in this paper. 200 Gabor features are first selected by a boosting algorithm, which are then combined with SVM to build a two-class based face recognition system. While computation and memory cost of the Gabor feature extraction process has been significantly reduced, our method has achieved the...

chapter

Parallel Computing for Optimal Genomic Sequence Alignment

Zhihua Du, Zhen Ji, Feng Lin

Lecture Notes in Computer Science > Fuzzy Systems and Knowledge Discovery > Knowledge Discovery Theory and Algorithms > 532-535

This paper presents a new parallel algorithm, called “block-based wavefront”, to produce optimal pairwise alignment for biological sequences with reliable output and reasonable cost. It takes advantage of dynamic programming and parallel computing to produce optimal results in reasonable time. More importantly, the algorithm makes it possible for biologists to analyze datasets that were previously...

chapter

A New Algorithm for Reconstruction of Phylogenetic Tree

ZhiHua Du, Zhen Ji

Lecture Notes in Computer Science > Information Retrieval Technology > Poster Session > 472-477

The abstract should summarize the contents of the paper and should contain at least 70 and at most 150 words. It should be set in 9-point font size and should be inset 1.0 cm from the right and left margins. There should be two blank (10-point) lines before and after the abstract. This document is in the required format. In this paper, we present a new algorithm for reconstructing large phylogenetic...

chapter

A DWT Blind Image Watermarking Strategy with Secret Sharing

Li Zhang, Ping-ping Zhou, Gong-bin Qian, Zhen Ji

Lecture Notes in Computer Science > Advances in Multimedia Information Processing – PCM 2007 > Session-7: Digital Watermarking > 377-384

A blind image watermarking scheme based on secret sharing in discrete wavelet transform domain is proposed. Watermark was divided into n shadows according to secret sharing scheme. And t or more of those shadows can reconstruct the watermark, while t-1 or less shadows could not do it. In order to achieve optimum embedding strategy, a closed loop embedding process is proposed, which is modified iteratively...

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INFONA - science communication portal

Search results for: Zhen Ji

Regulation of drought tolerance in Arabidopsis involves the PLATZ4‐mediated transcriptional repression of plasma membrane aquaporin PIP2;8

Charge Balanced Vacancy Engineering to Enhance the Thermoelectric Properties of GeMnTe₂

Mutation spectrum and genotype‐phenotype correlation of inherited retinal dystrophy in Taiwan

Application effect of pneumatic tourniquet with individualized pressure setting in orthopaedic surgery of extremities: A meta‐analysis

Functional characterization of CEP250 variant identified in nonsyndromic retinitis pigmentosa

Study on the thermal deformation behavior and microstructure of FGH96 heat extrusion alloy during two-pass hot deformation

Preparation and radar-absorbing properties of Al₂O₃/TiO₂/Fe₂O₃/Yb₂O₃ composite powder

Study on the preparation of Pt nanocapsules

Manganese functionalized mesoporous molecular sieves Ti-HMS as a Fenton-like catalyst for dyes wastewater purification by advanced oxidation processes

Effect of 6-BA on Physiological Changes in Two Palm Seedlings Under Varied Temperaures

A more efficient method for domain repeat detection in WD-40 proteins

A comparative study on decomposition-based multi-objective evolutionary algorithms for many-objective optimization

Metabolomics biomarker discovery using multimodal memetic algorithm and multivariate mutual information based feature selection

Enhanced Generation of Integration-free iPSCs from Human Adult Peripheral Blood Mononuclear Cells with an Optimal Combination of Episomal Vectors

Gene Clustering Using Particle Swarm Optimizer Based Memetic Algorithm

Tuning Kernel Parameters with Different Gabor Features for Face Recognition

A SVM Face Recognition Method Based on Optimized Gabor Features

Parallel Computing for Optimal Genomic Sequence Alignment

A New Algorithm for Reconstruction of Phylogenetic Tree

A DWT Blind Image Watermarking Strategy with Secret Sharing

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