Is “Globalization” the Main Cause of Wage Inequality?

Xiu ling Yin 한국유통과학회 2017 한국유통과학회 학술대회 논문집 Vol.2017 No.-

Trump, the new president of the United States, won the election victory for the reason of meeting the needs of the poor against globalization, which shows that anti-globalization is very popular in the United States. Is Globalization the main cause of rising wage inequality ?There are many theoretical and empirical literature on the relationship between globalization and wage inequality. This paper discusses the development of the theory in the past ten years, mainly discussing the trade model based on matching. Different scholars assume different scenarios, modify the models and get different conclusions. Matching can take a variety of forms. Workers can be matched with firms, with sectors, with managers, or with capital equipment, and the consequences of trade for wages depend on these particulars.

The Comparison of Trade Patterns between China and Korea : Competition and Interdependency

Xiu Ling Yin 한국유통과학회 2013 KODISA ICBE (International Conference on Business Vol.2013 No.-

In the past 20 years, both China and Korea has developed greatly in international trade. In some aspects, China has surpassed Korea, now the two countries are the most important trade partners with each other. At the same time, there arise som intense competitions in some fields. Through comparison, we know that China moves up the value chain in terms of gross trade production, but the change in value added trade is much more mixed. Korea is moving up the value chain much better than China. The big changes are a massive loss of competitiveness in primary goods and significant increases in competitiveness in transport equipment and machinery nec(not else classified). Measured by the switch from foreign to domestic sources for intermediates, The latter two sectors are typically considered high-tech so the substitution of Korean intermediates for imported intermediates suggests a move up the value chain in these sectors.

The Stabilization and 3D Visual Simulation of the Triple Inverted Pendulum based on CGA-PIDNN

Xiu-Ling Zhang,Hong-Min Fan,Jia-Yin Zang,Liang Zhao,Shuang Hao 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.4

Aiming at the triple inverted pendulum which is a strong coupling, multivariable, high-order and unsteady system, a design method of the controller based on PID neural network (PIDNN) optimized by cloud genetic algorithm (CGA) is proposed, this method is called CGA-PIDNN. CGA can be applied to learn and train the PIDNN connection weights. CGA can overcome the defect of the slow convergence rate and premature convergence for genetic algorithm (GA). PIDNN is a simple and normative network which is easy to be realized and has a good dynamic performance. The CGA-PIDNN control system of triple inverted pendulum is verified with MATLAB simulation test. The comparison results with the control effect of PIDNN control system optimized by standard GA (GA-PIDNN) are presented first. Then in LabVIEW environment, by using the combination of virtual reality technology and MATLAB, the three-dimensional (3D) animation simulation model of the triple inverted pendulum CGA-PIDNN control system is built. The simulation results indicate that CGA-PIDNN control method is effective, whose control effects are superior to those by GA-PIDNN control, it is believed that CGAPIDNN is effective and will become a promising candidate of control methods.

The inhibitory effect of pyrogallol on tyrosinase activity and structure: Integration study of inhibition kinetics with molecular dynamics simulation

Xiong, Shang-Ling,Lim, Gyu Tae,Yin, Shang-Jun,Lee, Jinhyuk,Si, Yue-Xiu,Yang, Jun-Mo,Park, Yong-Doo,Qian, Guo-Ying Elsevier 2019 INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES Vol.121 No.-

<P><B>Abstract</B></P> <P>Pyrogallol is naturally found in aquatic plant and has been proposed as a substrate of tyrosinase. In this study, we evaluated the dual effect of pyrogallol on tyrosinase as an inhibitor in the presence of L‑DOPA simultaneously via integrating methods of enzyme kinetics and computational molecular dynamics (MD) simulations. Pyrogallol was found to be a reversible inhibitor of tyrosinase in the presence of L‑DOPA and its induced mechanism was the parabolic non-competitive inhibition type (<I>IC</I> <SUB>50</SUB> = 0.772 ± 0.003 mM and <I>K</I> <SUB>i</SUB> = 0.529 ± 0.022 mM). Kinetic measurements by real-time interval assay showed that pyrogallol induced rapid inactivation process composing with slight activations at the low dose. Spectrofluorimetry studies showed that pyrogallol mainly induced regional changes in the active site of tyrosinase accompanying with hydrophobic disruption at high dose. The computational MD simulations further revealed that pyrogallol could interact with several residues near the tyrosinase active site pocket such as HIS61, HIS85, HIS259, ASN260, HIS263, VAL283, and ALA296. Our study provides insight into the mechanism by which hydroxyl group composing pyrogallol inhibit tyrosinase and pyrogallol is a potential natural anti-pigmentation agent.</P>

De novo assembly and characterization of antennal transcriptome reveal chemosensory system in Nysius ericae

Ya-Nan Zhang,Xiu-Yun Zhu,Qian Zhang,Cai-Yun Yin,Zhi-PingDong,Ling-Hua Zuo,Dao-Gui Deng,Liang Sun,Xiao-Ming Li 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.4

Chemosensory system plays important roles in insect behaviors, some key genes governing chemosensation can potentially be used as novel targets for pest control. Nysius ericae (Hemiptera: Lygaeidae) is a polyphagous insect pest found throughout Eurasia countries which causes damage to many important crops. Little is known about the chemosensory mechanisms of host location and mate choice in N. ericae at themolecular level. Here, we assembled the antennal transcriptome of N. ericae using Illumina sequencing technology. Analysis of the transcriptome data identified 148 candidate chemosensory genes, including 28 for odorant binding proteins (OBPs), 16 for chemosensory proteins (CSPs), 2 for sensory neuron membrane proteins (SNMPs), 83 odorant receptors (ORs), 12 ionotropic receptors (IRs), and 7 gustatory receptors (GRs). Our results greatly improve the gene inventory for N. ericae and provide valuable resources for analyzing the functions of some key genes. This information will aid in the development of better understanding of chemosensation in N. ericae, and indicate novel targets for managing its impact on agriculture. Chemosensory system plays important roles in insect behaviors, some key genes governing chemosensation can potentially be used as novel targets for pest control. Nysius ericae (Hemiptera: Lygaeidae) is a polyphagous insect pest found throughout Eurasia countries which causes damage to many important crops. Little is known about the chemosensory mechanisms of host location and mate choice in N. ericae at themolecular level. Here, we assembled the antennal transcriptome of N. ericae using Illumina sequencing technology. Analysis of the transcriptome data identified 148 candidate chemosensory genes, including 28 for odorant binding proteins (OBPs), 16 for chemosensory proteins (CSPs), 2 for sensory neuron membrane proteins (SNMPs), 83 odorant receptors (ORs), 12 ionotropic receptors (IRs), and 7 gustatory receptors (GRs). Our results greatly improve the gene inventory for N. ericae and provide valuable resources for analyzing the functions of some key genes. This information will aid in the development of better understanding of chemosensation in N. ericae, and indicate novel targets for managing its impact on agriculture.Chemosensory system plays important roles in insect behaviors, some key genes governing chemosensation can potentially be used as novel targets for pest control. Nysius ericae (Hemiptera: Lygaeidae) is a polyphagous insect pest found throughout Eurasia countries which causes damage to many important crops. Little is known about the chemosensory mechanisms of host location and mate choice in N. ericae at themolecular level. Here, we assembled the antennal transcriptome of N. ericae using Illumina sequencing technology. Analysis of the transcriptome data identified 148 candidate chemosensory genes, including 28 for odorant binding proteins (OBPs), 16 for chemosensory proteins (CSPs), 2 for sensory neuron membrane proteins (SNMPs), 83 odorant receptors (ORs), 12 ionotropic receptors (IRs), and 7 gustatory receptors (GRs). Our results greatly improve the gene inventory for N. ericae and provide valuable resources for analyzing the functions of some key genes. This information will aid in the development of better understanding of chemosensation in N. ericae, and indicate novel targets for managing its impact on agriculture.