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Effect of the TiO2 Nanoparticles on the Growth Behavior of Intermetallics in Sn/Cu Solder Joints
Shengyan Shang,Anil Kunwar,Jinye Yao,Yanfeng Wang,Haitao Ma,Yunpeng Wang 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.2
In order to investigate the effect of TiO2 nanoparticles on growth behavior of interfacial Cu6Sn5 intermetallics compounds(IMCs) in Pb-free Sn/Cu system, the solder joints are fabricated by using flux doped with different content (0.0–2.0 wt% offlux) and particle diameter (5 nm and 50 nm) of TiO2 . In context of isothermal reflow soldering at 250 °C and subsequentair cooling, the increase in reflow duration from 10 to 120 s was characterized with an increment in IMC layer thicknessand grain size, due to the enhancement of Cu flux contribution for Ostwald ripening during constant temperature reflow andprecipitation kinetics during cooling. The increased proportion of TiO2 nanoparticles in flux was found to reduce the growthof IMC layer and grain size. The suppression effect on IMC was more pronounced for 5 nm particles as compared to the 50nm TiO2 . The TiO2 nanoparticles, adsorbed on IMC plane can retard the growth of the latter. Presence of sufficient amountof a given sized TiO2 nanoparticles among IMCs, by increasing the effective stress at the localized interfaces, and causingthe breaking of brittle Cu6Sn5 during growth stage; can help in the inhibition of IMC whisker formation. Particle diameterand mass proportion of TiO2 nanoparticles are important for soldering materials design.
An Approach of Information Extraction Based on Dom Tree and Weight Value
Haitao Wang,Shufen Liu 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.10
Eliminating noisy information and extracting information content from web pages are increasing to become an important research issue in information retrieval field. In this paper, we present an approach of information extraction based on Dom tree and weight value calculation, which contains the following steps, parse the web page to construct the Dom tree, extract the title and keywords, calculate the weight value and obtain the content. The experimental result shows that this method has the higher accuracy ratio by the various themes content extraction.
Haitao Zheng,Meng Wang,Lixin Jiang,Haidi Chu,Jinchen Hu,Jinyao Ning,Baoyuan Li,Dong Wang,Jie Xu 대한암학회 2016 Cancer Research and Treatment Vol.48 No.2
Purpose The importance of long noncoding RNAs (lncRNAs) in tumorigenesis has recently been demonstrated. However, the role of lncRNAs in development of thyroid cancer remains largely unknown. Materials and Methods Using quantitative reverse transcription polymerase chain reaction, expression of three lncRNAs, including BRAF-activated long noncoding RNA (BANCR), papillary thyroid cancer susceptibility candidate 3 (PTCSC3), and noncoding RNA associated with mitogen-activated protein kinase pathway and growth arrest (NAMA), was investigated in the current study. Results Of the three lncRNAs (BANCR, PTCSC3, and NAMA), expression of BANCR was significantly up-regulated while PTCSC3 and NAMA were significantly down-regulated in papillary thyroid carcinoma (PTC) compared to that in normal tissue. BANCR-knockdown in a PTC-derived cell line (IHH-4) resulted in significant suppression of thyroid stimulating hormone receptor (TSHR). BANCR-knockdown also led to inhibition of cell growth and cell cycle arrest at G0/G1 phase through down-regulation of cyclin D1. In addition, BANCR was enriched by polycomb enhancer of zeste homolog 2 (EZH2), and silencing BANCR led to decreased chromatin recruitment of EZH2, which resulted significantly reduced expression of TSHR. Conclusion These findings indicate that BANCR may contribute to the tumorigenesis of PTC through regulation of cyclin D1 and TSHR.
An Improved Classification Course Based on Mapreduce
Haitao Wang,Shunfeng Liu,Zongpu Jia 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
It is an importance step for near-duplication detection to perform file classification in the data mining field, in this paper an improved classification course is proposed which consists of training and test course corresponding to its algorithm respectively. It utilizes the MapReduce computing model created by Google to conduct the classification calculation. Specially, the Sogou news data with various data amounts which simulated the massive data set was used for testing effectiveness and a comparative evaluation on execution time and speedup was accomplished on the experimental circumstance. The results obtained shows that the classification course obviously reduces the execution times greatly and gains the ideal speedup ratio when increasing data amounts, achieves the better performance.
Effects of pore clusters on the permeability, formation factor and porosity exponent of porous media
Haitao Wang 한국자원공학회 2020 Geosystem engineering Vol.23 No.2
Micropore and pore evolution both severely influence pore structure and transport properties. The micropore connects isolated pores to predominate connected pore cluster while the pore evolution generates isolated pores. Therefore, investigating separate impacts of predominate and remaining pore clusters is the first step to modify the existing electrical resistivity and permeability models with consideration of the micropore and pore evolution. The main pore clusters in six porous media including sandstone and carbonate were first extracted. Then, the pore geometry, topology, electrical resistivity and permeability from the main pore cluster compared with them from all the pore clusters in the same porous medium. The calculations of pore morphological and the petrophysical properties were all based on the pore networks extracted from the porous media by maximal ball method. The predominant pore cluster mainly determined the pore geometry, electrical resistivity and permeability of the corresponded porous medium. However, the isolated pore clusters from pore evolution undermined the pore connectivity. The developments of the remaining pore clusters slightly affected the electrical resistivity and permeability while seriously impacted the porosity exponents. Therefore, the micropore could increase the pore connectivity, and then slightly increase the permeability and reduce the electrical resistivity.
A fluorescent probe for colorimetric detection of bisulfite and application in sugar and red wine
Haitao Chen,Xiaoming Wu,Jialin Wang,Hao Wang,Feiyan Tao,Shaoxiang Yang,Hongyu Tian,Yongguo Liu,Baoguo Sun 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.4
A new fluorescent probe made from (E)-2-(benzo[d]thiazol-2-yl)-3-(6-hydroxynaphthalen-2-yl) acrylonitrile(Probe 1) was synthesized for the determination ofbisulfite concentrations in real food samples (red wine andsugar). Adding bisulfite to a Probe 1 solution caused amarked decrease in fluorescence intensity and a visualcolor change from yellow to light yellow. This distinctcolor response indicates that Probe 1 could be used as avisual sensor for bisulfite. Probe 1 can detect bisulfitequantitatively in the range 0–400 lM with a detection limitof 0.10 lM. This makes Probe 1 a convenient signalinginstrument for determining bisulfite levels in sugar and redwine samples.
Haitao Wang 한국자원공학회 2019 Geosystem engineering Vol.22 No.5
The interpretation of electrical resistivity for assessing the saturation in rocks with complicated pore structures and various pore types requires the intrinsic parameters quantifying pore structures incorporated in modified resistivity models. Therefore, the objectives are to investigate pore types effect on the pore morphology and electrical resistivity and to determine the key pore morphological parameters for each pore type. The maximal ball method was applied to extract the pore networks of the reconstructed pore-scale models using a process-based method, and the pore morphology was characterized using a pore-network analysis and a random walk simulation. The resistivity was simulated using a finite element method. The key parameters determined by the Morris screening method for the fractured, isolated and connected vuggy models were the Euler number, the cross-sectional pore-to-throat area ratio (PTAR) and the pore radius, respectively. The qualitative relationships between the Euler number, the PTAR and the porosity exponent for the fractured and vuggy models were determined and validated using three Coquinas carbonates. This investigation will help to elucidate the variations of the porosity exponent and to further derive a new electrical resistivity model that correlates the pore morphology to the resistivity in fractured and vuggy carbonate reservoirs.
( Haitao Wang ),( En-hou Han ) 한국부식방식학회 2017 Corrosion Science and Technology Vol.16 No.2
The interactions between corrosion pits on stainless steel under loading conditions are studied by using a cellular automata model coupled with finite element method at a mesoscopic scale. The cellular automata model focuses on a metal/film/electrolyte system, including anodic dissolution, passivation, diffusion of hydrogen ions and salt film hydrolysis. The Chopard block algorithm is used to improve the diffusion simulation efficiency. The finite element method is used to calculate the stress concentration on the pit surface during pit growth, and the effect of local stress and strain on anodic current is obtained by using the Gutman model, which is used as the boundary conditions of the cellular automata model. The transient current characteristics of the interactions between corrosion pits under different simulation factors including the breakdown of the passive film at the pit mouth and the diffusion of hydrogen ions are analyzed. The analysis of the pit stability product shows that the simulation results are close to the experimental conclusions