Tianjiao Zhang

Wuyi University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Guohua Wang

Northeast Forestry University

Yadong Wang

Harbin Institute of Technology

Guangjun Nie

National Center for Nanoscience and Technology

Yao Li

Zhengzhou University

Yale Yue

Zhengzhou University

Qinghua Jiang

Harbin Institute of Technology

Xiao Zhao

National Center for Nanoscience and Technology

Xiaotu Ma

Peking University

Keman Cheng

National Center for Nanoscience and Technology

Qingqing Feng

Hefei University

Cooperative Institutions

Chinese Academy of Sciences

436

Institute of High Energy Physics

336

University of Chinese Academy of Sciences

267

University of Science and Technology of China

129

Peking University

125

A. Alikhanyan National Laboratory

116

Shanghai Jiao Tong University

111

Sun Yat-sen University

Tsinghua University

European Organization for Nuclear Research

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Explosion characteristics and mechanism of aluminum-reduced graphene oxide composite powder

Powder Technology (2022)

Haipeng Jiang Mingshu Bi Jiankan Zhang Fengqi Zhao Jiaying Wang

Autoignition temperature

10.1016/j.powtec.2022.117545

Cite

Citations (9)

Chromosome-level genome assembly of a triploid poplar Populus alba ’Berolinensis’

Authorea (Authorea) (2022)

Song Chen Yue Yu Xinyu Wang Sui Wang Tianjiao Zhang

Related studies have provided significant insights into polyploid breeding in recent years, but limited research was focused on trees. The genomic information for the growth and response to abiotic stress in polyploidy trees is still largely unknown. Populus alba ’ Berolinensis ’, also named “Yinzhong poplar”, is a triploid poplar in the northeast of China. This hybrid triploid poplar is widely used as landscape ornamentals in urban areas because of its fast growth and high tolerance to abiotic stress. As an artificially synthesized male allotriploid hybrid, the three monoploid genomes of P. alba ’ Berolinensis ’ originated from different poplar species, so it is the desired material for studying polyploidy genomic collaboration mechanisms. Therefore, we intensively studied the allelic genomic collaboration mechanism in P. alba ’ Berolinensis ’. This study generated a high-quality chromosome-level genome assembly for the P. alba ’ Berolinensis ’ consisting of 19 allelic chromosomes. Its three monoploid chromosomes are polymorphic with an average of 42.22 variant sites per allelic gene locus. Meanwhile, we found that stress related genes such as RD22 and LEA7 exhibited structure variations. The above information has all been deployed to our polyploid genome online analysis website TreeGenomes (https://www.treegenomes.com). These polyploid genomic related resources will provide critical foundations for the molecular breeding of P. alba ’ Berolinensis ’ and help us uncover the allopolyploidization effects on the resistance and traits of polyploidy species deeper in the future.

Polyploid

10.22541/au.163959687.72461949/v2

Cite

Citations (1)

AOPM: Application of Antioxidant Protein Classification Model in Predicting the Composition of Antioxidant Drugs

Frontiers in Pharmacology (2022)

Yixiao Zhai Jingyu Zhang Tianjiao Zhang Yue Gong Zixiao Zhang

Antioxidant proteins can not only balance the oxidative stress in the body, but are also an important component of antioxidant drugs. Accurate identification of antioxidant proteins is essential to help humans fight diseases and develop new drugs. In this paper, we developed a friendly method AOPM to identify antioxidant proteins. 188D and the Composition of k-spaced Amino Acid Pairs were adopted as the feature extraction method. In addition, the Max-Relevance-Max-Distance algorithm (MRMD) and random forest were the feature selection and classifier, respectively. We used 5-folds cross-validation and independent test dataset to evaluate our model. On the test dataset, AOPM presented a higher performance compared with the state-of-the-art methods. The sensitivity, specificity, accuracy, Matthew’s Correlation Coefficient and an Area Under the Curve reached 87.3, 94.2, 92.0%, 0.815 and 0.972, respectively. In addition, AOPM still has excellent performance in predicting the catalytic enzymes of antioxidant drugs. This work proved the feasibility of virtual drug screening based on sequence information and provided new ideas and solutions for drug development.

10.3389/fphar.2021.818115

Cite

Citations (3)

The Effect of Medical Choice on Health Costs of Middle-Aged and Elderly Patients with Chronic Disease: Based on Principal-Agent Theory

International Journal of Environmental Research and Public Health (2022)

Dongxu Li Min Su Xi Guo Weile Zhang Tianjiao Zhang

(1) Background: The discussion on how to reduce the health costs of chronic disease patients has become an important public health issue. Limited research has been conducted on how chronic disease patients' medical choice of public and private medical institutions affect health costs. (2) Methods: This study used the panel data composed of the China Health and Retirement Longitudinal Survey (CHARLS) from 2011 to 2018, adopted the quasi-natural experimental research method, and set up a control group and an experimental group that chose public medical institutions and private medical institutions, to analyze the association between the medical choice and health costs of chronic disease patients. (3) Results: Compared with chronic disease patients who chose private medical institutions, patients who chose public medical institutions increased their total cost by 44.9%, total out-of-pocket cost by 22.9%, and decreased the total out-of-pocket ratio by 0.117%, total drug cost out-of-pocket ratio by 0.075%, and drug cost ratio by 0.102%. (4) Conclusions: According to the triple principal-agent relationships, the resource advantages given by the government to public medical institutions, the salary incentive system of medical institutions, and the information asymmetry advantage held by physicians may be important factors for the increase in health costs for chronic disease patients.

Salary

10.3390/ijerph19137570

Cite

Citations (4)

An Approach for Prediction of Enhancers Based on the Bayesian Model

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2019)

Tianjiao Zhang Yadong Wang

Enhancers are DNA elements that regulate gene expression. Therefore, it is a challenging mission for researchers to predict the position of enhancers. With the development of high-throughput sequencing technology, a variety of computational methods have been developed to predict the positions of enhancers. However, the unsatisfactory prediction performance calls for further research in the field. Here, we developed a computational method based on the Bayesian model to predict the position of enhancers, which is called Enhancer-BAY. This method combines a variety of features, including DNase Hypersensitive Site (DHS), p300 and histone modifications. Our computational approach shows better predictive accuracy than the other five computational methods.

Computational model

10.1109/cisp-bmei48845.2019.8965929

Cite

Citations (0)

Island-corner barrier effect in two-dimensional pattern formation at surfaces

Physical review. B, Condensed matter (2001)

Jianxin Zhong Tianjiao Zhang Shengbai Zhang M. G. Lagally

Using rate-equation analysis, kinetic Monte Carlo simulations, and embedded-atom model calculations, we establish the crucial importance of island-corner crossing in determining the island morphology during submonolayer epitaxy. We show that compact islands can be formed only if adatoms can frequently cross island corners; conversely, without effective corner crossing the islands must be noncompact with fractional dimensionality. These conclusions provide the basis for understanding initial island morphologies in existing experiments.

Kinetic Monte Carlo

Island growth

10.1103/physrevb.63.113403

Cite

Citations (32)

Progress in Innate Immunity

Int J Genet (2009)

Tianjiao Zhang Fen Wang

Recently,there are tremendous progresses in the stuay of innate immunity,particularly in the identification and characterization of the pattem recognition receptors (PRRs) which recognize the pathogen associated molecular patterns (PAMPs).It has been well accepted that innate immunity not only provides the first line to protect host avoiding infection but also plsys an essential role to activate adaptive immunity.Without innate immunity,the adaptive immunity is feeble.Toll-like receptors are the key molecular sensor of innate immunity and the well-churacterized PRRs.The activated TLR signaling rapidly induces the expression of a variety of genes involved in the inflammatory and immune responses.All these new insights into TLRs and TLR signaling have been changing our understanding and treatment of infectious and inflammatory diseases. Key words: Toll-like receptor; Innate immunity; TLR signaling; Infection

Intrinsic immunity

10.3760/cma.j.issn.1673-4386.2009.05.002

Cite

Citations (0)

Depth acquisition with the combination of structured light and deep learning stereo matching

Signal Processing Image Communication (2019)

Fu Li Li Quanlu Tianjiao Zhang Yi Niu Guangming Shi

Structured Light

Depth map

10.1016/j.image.2019.04.001

Cite

Citations (25)

Characters of sedimentary facies and main control factors in upper fourth member of Shahejie formation in Qingnan sub-sag

Journal of Petroleum & Environmental Biotechnology (2016)

Tianjiao Zhang

Source

Cite

Citations (0)

Succinamic Acid Grafted Nanosilica for the Preconcentration of U(VI) from Aqueous Solution

Industrial & Engineering Chemistry Research (2017)

Fuyou Fan Duoqiang Pan Hanyu Wu Tianjiao Zhang Wangsuo Wu

Succinamic acid-functionalized nanosilica (SA@SiO2) was synthesized, characterized, and tested for hexavalent uranium preconcentration from contaminated aqueous solutions. The succinamic acid grafted nanosilica exhibited improved uranium preconcentration capacity in comparison with that of raw nanosilica. The effects of environmental conditions such as pH, ionic strength, solid concentration, foreign ions, and temperature on uranium(VI) preconcentration performance were investigated by batch technique in detail, and the related mechanism is discussed with the aid of X-ray photoelectron spectroscopy. Results showed that U(VI) preconcentration by SA@SiO2 was strongly dependent on pH while less dependent on ionic strength; the preconcentration was mainly dominated by inner-sphere surface complexation. The coexisting cations had no effects, while anions influenced U(VI) preconcentration significantly. The preconcentration of U(VI) was favorable at lower temperatures; the maximum preconcentration capacity was 44.5 mg/g at pH 4.0 ± 0.1 and T = 298 K. Thermodynamic parameters indicated that the preconcentration process was exothermic and spontaneous. The SA@SiO2 exhibited desirable selectivity for uranium and can be reused at least five times without decreasing capacity. Accordingly, the SA@SiO2 is a potential and suitable candidate for the preconcentration of U(VI) from a considerable volume of contaminated water.

10.1021/acs.iecr.6b04652

Cite

Citations (13)