Cl4 Activation Mechanisms by Gas-Phase CHBr•– and CBr2•–: A Comparative Study

Liang Junxi,Wang Yanbin,Qimeige Hasi,Geng Zhiyuan 대한화학회 2013 Bulletin of the Korean Chemical Society Vol.34 No.2

The mechanisms concerning C-Cl activation of CCl4 by CHBr•– and CBr2 •– have been comparatively investigated in theory. Optimized geometries and frequencies of all stationary points on PES are obtained at the BhandHLYP/aug-cc-pVTZ level of theory, and then the energy profiles are refined at the QCISD(T) method with the aug-cc-pVTZ basis by using the BhandHLYP/aug-cc-pVTZ optimized geometries. Our calculated findings suggest that in the title reactions the major mechanisms consist of both Cl-abstraction and SN2 substitution reactions. Also, a succeeding pathway described by electron transfer was revealed before the initial Cl-abstraction products separate. Those are consistent with relevant experimental results.

CCl₄ Activation Mechanisms by Gas-Phase CHBr^•^– and CBr₂^•^–: A Comparative Study

Liang, Junxi,Wang, Yanbin,Hasi, Qimeige,Geng, Zhiyuan Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.2

The mechanisms concerning C-Cl activation of $CCl_4$ by $CHBr^{{\cdot}-}$ and $CBr{_2}^{{\cdot}-}$ have been comparatively investigated in theory. Optimized geometries and frequencies of all stationary points on PES are obtained at the BhandHLYP/aug-cc-pVTZ level of theory, and then the energy profiles are refined at the QCISD(T) method with the aug-cc-pVTZ basis by using the BhandHLYP/aug-cc-pVTZ optimized geometries. Our calculated findings suggest that in the title reactions the major mechanisms consist of both Cl-abstraction and $S_N2$ substitution reactions. Also, a succeeding pathway described by electron transfer was revealed before the initial Cl-abstraction products separate. Those are consistent with relevant experimental results.

The Identification of Six Novel Proteins with Fibronectin or Collagen Type І Binding Activity from Streptococcus suis Serotype 2

Hui Zhang,Junxi Zheng,Li Yi,Yue Li,Zhe Ma,Hongjie Fan,Chengping Lu 한국미생물학회 2014 The journal of microbiology Vol.52 No.11

Streptococcus suis, a major swine pathogen, is an emergingzoonotic agent that causes meningitis and septic shock. Bacterialcell wall and secreted proteins are often involved ininteractions with extracellular matrix proteins (ECMs), whichplay important roles in the initial steps of pathogenesis. Inthis study, 2D SDS-PAGE, western blotting-based bindingaffinity measurements, and microtiter plate binding assayswere used to identify cell wall and secreted proteins from S. suis that interact with fibronectin and collagen type І. Weidentified six proteins from S. suis, including three proteins(translation elongation factor G, oligopeptide-binding proteinOppA precursor, and phosphoglycerate mutase) thatshow both fibronectin and collagen type І binding activity. To the best of our knowledge, these three newly identifiedproteins had no previously reported fibronectin or collagentype І binding activity. Overall, the aim in this study was toidentify proteins with ECM binding activity from S. suis andit represents the first report of six new proteins from S. suisthat interact with fibronectin or collagen type І.

Visual Tracking with Online Incremental Deep Learning and Particle Filter

Shuai Cheng,Yonggang Cao,Junxi Sun,Guangwen Liu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.12

To solve the problem of tracking the trajectory of a moving object and learning a deep compact image representation in the complex environment, a novel robust incremental deep learning tracker is presented under the particle filter framework. The incremental deep classification neural network was composed of stacked denoising autoencoder, incremental feature learning and support vector machine to achieve the feature-extracting and classification of particle set. Deep learning is successfully taken to express the image representations obtained effectively. Unsupervised feature learning is used to learn generic image features and transfer learning transforms knowledge from offline training to the online tracking process. The incremental feature learning was consisted of adding features and merging features to online learn compact feature set. Linear support vector machine increases the discretion for target with similar appearance and is further tuned to adapt to appearance changes of the moving object. Compared with the state-of-the-art trackers in the complex environment, the results of experiments on variant challenging image sequences show that incremental deep learning tracker solves the problem of existent trackers more efficiently, it has better robust and more accurate, especially for occlusions, background clutter, illumination changes and appearance changes.

DIESEL HYBRID ELECTRIC VEHICLE HARDWARE SYSTEM

Song Junhua,Wang Junxi,Zhuo Bin,H. B. TANG,X. J. MAO 한국자동차공학회 2009 International journal of automotive technology Vol.10 No.4

A controller for a diesel hybrid electric vehicle based on a V-cycle development approach is investigated in this paper. The hardware and infra program of the Hybrid Control Unit (HCU) are discussed in detail. The hardware system is designed based on circuit simulation; while the infra system is written with assemble language. Time sharing mode, buffer sharing mode and multi-task schedule method are used to ensure real-time communication in the infra program design. Based on multi-thread technology, hardware in loop test system is also designed. The hardware in loop and bench tests show that the controller could meet the requirements of the hybrid electric vehicle (HEV) and communicate in real-time. Circuit simulation, HCU, infra program and hardware in loop test form the effective V-cycle development platform to design a hardware system for a diesel HEV controller. A controller for a diesel hybrid electric vehicle based on a V-cycle development approach is investigated in this paper. The hardware and infra program of the Hybrid Control Unit (HCU) are discussed in detail. The hardware system is designed based on circuit simulation; while the infra system is written with assemble language. Time sharing mode, buffer sharing mode and multi-task schedule method are used to ensure real-time communication in the infra program design. Based on multi-thread technology, hardware in loop test system is also designed. The hardware in loop and bench tests show that the controller could meet the requirements of the hybrid electric vehicle (HEV) and communicate in real-time. Circuit simulation, HCU, infra program and hardware in loop test form the effective V-cycle development platform to design a hardware system for a diesel HEV controller.

Application of Terahertz Spectroscopy and Imaging in the Diagnosis of Prostate Cancer

Ping Zhang,Shuncong Zhong,Junxi Zhang,Jian Ding,Zhenxiang Liu,Yi Huang,Ning Zhou,Walter Nsengiyumva,Tianfu Zhang 한국광학회 2020 Current Optics and Photonics Vol.4 No.1

The feasibility of the application of terahertz electromagnetic waves in the diagnosis of prostate cancer was examined. Four samples of incomplete cancerous prostatic paraffin-embedded tissues were examined using terahertz spectral imaging (TPI) system and the results obtained by comparing the absorption coefficient and refractive index of prostate tumor, normal prostate tissue and smooth muscle from one of the paraffin tissue masses examined were reported. Three hundred and sixty cases of absorption coefficients from one of the paraffin tissues examined were used as raw data to classify these three tissues using the Principal Component Analysis (PCA) and Least Squares Support Vector Machine (LS-SVM). An excellent classification with an accuracy of 92.22% in the prediction set was achieved. Using the distribution information of THz reflection signal intensity from sample surface and absorption coefficient of the sample, an attempt was made to use the TPI system to identify the boundaries of the different tissues involved (prostate tumors, normal and smooth muscles). The location of three identified regions in the terahertz images (frequency domain slice absorption coefficient imaging, 1.2 THz) were compared with those obtained from the histopathologic examination. The tissue tumor region had a distinctively visible color and could well be distinguished from other tissue regions in terahertz images. Results indicate that a THz spectroscopy imaging system can be efficiently used in conjunction with the proposed advanced computer-based mathematical analysis method to identify tumor regions in the paraffin tissue mass of prostate cancer.

ROS-activated CXCR2+ neutrophils recruited by CXCL1 delay denervated skeletal muscle atrophy and undergo P53-mediated apoptosis

Xiang Yaoxian,Dai Junxi,Li Yao,You Zongqi,Zhang Junpeng,Huang Xinying,Nie Shuqi,Chen Yujie,Xu Lei,Liu Fengming,Jiang Junjian,Xu Jianguang 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

Neutrophils are the earliest master inflammatory regulator cells recruited to target tissues after direct infection or injury. Although inflammatory factors are present in muscle that has been indirectly disturbed by peripheral nerve injury, whether neutrophils are present and play a role in the associated inflammatory process remains unclear. Here, intravital imaging analysis using spinning-disk confocal intravital microscopy was employed to dynamically identify neutrophils in denervated muscle. Slice digital scanning and 3D-view reconstruction analyses demonstrated that neutrophils escape from vessels and migrate into denervated muscle tissue. Analyses using reactive oxygen species (ROS) inhibitors and flow cytometry demonstrated that enhanced ROS activate neutrophils after denervation. Transcriptome analysis revealed that the vast majority of neutrophils in denervated muscle were of the CXCR2 subtype and were recruited by CXCL1. Most of these cells gradually disappeared within 1 week via P53-mediated apoptosis. Experiments using specific blockers confirmed that neutrophils slow the process of denervated muscle atrophy. Collectively, these results indicate that activated neutrophils are recruited via chemotaxis to muscle tissue that has been indirectly damaged by denervation, where they function in delaying atrophy.

The Effect of External DC Electric Field on the Atmospheric Corrosion Behaviour of Zinc under a Thin Electrolyte Layer

( Qinqin Liang ),( Yanyang ),( Junxi Zhang ),( Xujie Yuan ),( Qimeng Chen ) 한국부식방식학회(구 한국부식학회) 2018 Corrosion Science and Technology Vol.17 No.2

The effect of external DC electric field on atmospheric corrosion behavior of zinc under a thin electrolyte layer (TEL) was investigated by measuring open circuit potential (OCP), cathodic polarization curve, and electrochemical impedance spectroscopy (EIS). Results of OCP vs. time curves indicated that the application of external DC electric field resulted in a negative shift of OCP of zinc. Results of cathodic polarization curves measurement and EIS measurement showed that the reduction current of oxygen increased while charge transfer resistance (R_ct) decreased under the external DC electric field. Variation of OCP negative shift, reduction current of oxygen, and R_ct increase with increasing of external DC electric field strength as well as the effect of external DC electric field on double-layer structure in the electrode/electrolyte interface and ions distribution in thin electrolyte layer were analyzed. All results showed that the external DC electric field could accelerate the corrosion of zinc under a thin electrolyte layer.

Are the U.S. Exports to and Imports form Japan Cointgrated?

Wu, Yangru,Zhang, Junxi 세종대학교 국제경제연구소 1998 Journal of Economic Integration Vol.13 No.4

The size and duration of the U.S. bilateral trade deficit with Japan has raised concern from both politicians and the general public. This paper seeks to investigate the behavior of this deficit by conducting stationarity tests on the deficit and tests for long-run relationships between U.S. exports to and imports from Japan. We show that, if an endogenously searched break is properly accounted for, exports and imports are cointegrated with a coefficient of one, and the deficit appears to be stationary. Thus, in contrast to the public's perception, we conclude that the U.S.-Japan trade deficit may not be "too large." (JEL Classifications: F14, C22)

Study of the Flow Behavior and Defect Formation in Forming of Axisymmetrically Flanged and Multi-Scaled Parts

Ji Lai Wang,Ming Wang Fu,Junxi Yu,Xing Wang,Wenbin Yang 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.10

In microforming, the quality of microparts is one of the most critical issues. Folding caused by the abnormal material flow is one of the most common flow-induced defects in macroforming process. The identified formation mechanism of flow-induced defects in macro-forming process could be affected by the so-called size effects when the part dimension is scaled down to micro scale. Therefore, it is necessary to investigate the influence of size effects on the material plastic flow and deformation behavior in multiscaled deformation scenarios. To explore the formation mechanism of flow-induced defects, FE simulation is used to simulate the forming process. On the other hand, the multi-scaled forming was designed. To study the relationship of the flow-induced defect and sizes effects, forming of the axisymmetric parts with flanged features and different scales was conducted. The microstructure and plastic flow behavior of the deformed parts are also revealed. Based on the experimental and FEM simulation results, the formation of folding defects is mainly affected by the geometries and the sizes of the deformed flanged parts instead of grain sizes. In the cases by using material with coarse grains, the folding defect can be significantly reduced.