Effect of Degumming Methods on the Degradation Behavior of Silk Fibroin Biomaterials

Luping Wang,Zuwei Luo,Qiang Zhang,Yupin Guan,Junyi Cai,Renchuan You,Xiufang Li 한국섬유공학회 2019 Fibers and polymers Vol.20 No.1

Degradation behavior is a key consideration in the field of silk fibroin (SF) biomaterials. Degumming to remove sericin is a prerequisite for SF purification; however, the impact of degumming on the degradation behavior of SF biomaterials has not been established. In this study, two different degumming systems, Na2CO3 and NaHCO3, were used. Na2CO3 exhibited higher degumming efficiency but caused greater degradation of the fibroin. The results demonstrated that NaHCO3 degumming could afford regenerated SF with higher molecular weight, resulting in SF films with higher mechanical strengths. The enzymatic degradation behaviors indicated that the SF films prepared by the Na2CO3 degumming process showed faster degradation, revealing that the choice of degumming method has a substantial impact on the biodegradation of SF-based materials. The results showed that manipulating the degumming conditions can be used to tune the molecular weight of the SF, in turn providing control over the degradation rate of SF biomaterials.

Impact of NR1I2, adenosine triphosphateebinding cassette transporters genetic polymorphisms on the pharmacokinetics of ginsenoside compound K in healthy Chinese volunteers

Luping Zhou,Lulu Chen,Yaqin Wang,Jie Huang,Guo Ping Yang,Zhi-Rong Tang,Yicheng Wang,Jianwei Liao,Gan Zhou,Kai-hua Wei,Zhenyu Li,Dongsheng Ouyang 고려인삼학회 2019 Journal of Ginseng Research Vol.43 No.3

Background: Ginsenoside compound K (CK) is a promising drug candidate for rheumatoid arthritis. Thisstudy examined the impact of polymorphisms in NR1I2, adenosine triphosphateebinding cassette (ABC)transporter genes on the pharmacokinetics of CK in healthy Chinese individuals. Methods: Forty-two targeted variants in seven genes were genotyped in 54 participants using SequenomMassARRAY system to investigate their association with major pharmacokinetic parameters of CK and itsmetabolite 20(S)-protopanaxadiol (PPD). Subsequently, molecular docking was simulated using theAutoDock Vina program. Results: ABCC4 rs1751034 TT and rs1189437 TT were associated with increased exposure of CK anddecreased exposure of 20(S)-PPD, whereas CFTR rs4148688 heterozygous carriers had the lowestmaximum concentration (Cmax) of CK. The area under the curve from zero to the time of the lastquantifiable concentration (AUClast) of CK was decreased in NR1I2 rs1464602 and rs2472682 homozygouscarriers, while Cmax was significantly reduced only in rs2472682. ABCC4 rs1151471 and CFTR rs2283054influenced the pharmacokinetics of 20(S)-PPD. In addition, several variations in ABCC2, ABCC4, CFTR, andNR1I2 had minor effects on the pharmacokinetics of CK. Quality of the best homology model of multidrugresistance protein 4 (MRP4) was assessed, and the ligand interaction plot showed the mode of interactionof CK with different MRP4 residues. Conlusion: ABCC4 rs1751034 and rs1189437 affected the pharmacokinetics of both CK and 20(S)-PPD. NR1I2 rs1464602 and rs2472682 were only associated with the pharmacokinetics of CK. Thus, thesehereditary variances could partly explain the interindividual differences in the pharmacokinetics of CK.

Impact of NR1I2, adenosine triphosphate-binding cassette transporters genetic polymorphisms on the pharmacokinetics of ginsenoside compound K in healthy Chinese volunteers

Zhou, Luping,Chen, Lulu,Wang, Yaqin,Huang, Jie,Yang, Guoping,Tan, Zhirong,Wang, Yicheng,Liao, Jianwei,Zhou, Gan,Hu, Kai,Li, Zhenyu,Ouyang, Dongsheng The Korean Society of Ginseng 2019 Journal of Ginseng Research Vol.43 No.3

Background: Ginsenoside compound K (CK) is a promising drug candidate for rheumatoid arthritis. This study examined the impact of polymorphisms in NR1I2, adenosine triphosphate-binding cassette (ABC) transporter genes on the pharmacokinetics of CK in healthy Chinese individuals. Methods: Forty-two targeted variants in seven genes were genotyped in 54 participants using Sequenom MassARRAY system to investigate their association with major pharmacokinetic parameters of CK and its metabolite 20(S)-protopanaxadiol (PPD). Subsequently, molecular docking was simulated using the AutoDock Vina program. Results: ABCC4 rs1751034 TT and rs1189437 TT were associated with increased exposure of CK and decreased exposure of 20(S)-PPD, whereas CFTR rs4148688 heterozygous carriers had the lowest maximum concentration ($C_{max}$) of CK. The area under the curve from zero to the time of the last quantifiable concentration ($AUC_{last}$) of CK was decreased in NR1I2 rs1464602 and rs2472682 homozygous carriers, while $C_{max}$ was significantly reduced only in rs2472682. ABCC4 rs1151471 and CFTR rs2283054 influenced the pharmacokinetics of 20(S)-PPD. In addition, several variations in ABCC2, ABCC4, CFTR, and NR1I2 had minor effects on the pharmacokinetics of CK. Quality of the best homology model of multidrug resistance protein 4 (MRP4) was assessed, and the ligand interaction plot showed the mode of interaction of CK with different MRP4 residues. Conlusion: ABCC4 rs1751034 and rs1189437 affected the pharmacokinetics of both CK and 20(S)-PPD. NR1I2 rs1464602 and rs2472682 were only associated with the pharmacokinetics of CK. Thus, these hereditary variances could partly explain the interindividual differences in the pharmacokinetics of CK.

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Zhou, Luping,Wang, Lei,Liu, Lingqiao,Ogunbona, Philip,Shen, Dinggang IEEE 2016 IEEE transactions on pattern analysis and machine Vol.38 No.11

<P>Due to its causal semantics, Bayesian networks (BN) have been widely employed to discover the underlying data relationship in exploratory studies, such as brain research. Despite its success in modeling the probability distribution of variables, BN is naturally a generative model, which is not necessarily discriminative. This may cause the ignorance of subtle but critical network changes that are of investigation values across populations. In this paper, we propose to improve the discriminative power of BN models for continuous variables from two different perspectives. This brings two general discriminative learning frameworks for Gaussian Bayesian networks (GBN). In the first framework, we employ Fisher kernel to bridge the generative models of GBN and the discriminative classifiers of SVMs, and convert the GBN parameter learning to Fisher kernel learning via minimizing a generalization error bound of SVMs. In the second framework, we employ the max-margin criterion and build it directly upon GBN models to explicitly optimize the classification performance of the GBNs. The advantages and disadvantages of the two frameworks are discussed and experimentally compared. Both of them demonstrate strong power in learning discriminative parameters of GBNs for neuroimaging based brain network analysis, as well as maintaining reasonable representation capacity. The contributions of this paper also include a new Directed Acyclic Graph (DAG) constraint with theoretical guarantee to ensure the graph validity of GBN.</P>

Design and Implementation of Vibration Energy Harvester Based on MSMA Cantilever Beam

Yang Jing,Wang Luping,Xu Jin 한국전기전자재료학회 2020 Transactions on Electrical and Electronic Material Vol.21 No.4

Vibration energy exists widely in nature, and the use of intelligent materials to harvest vibration energy to power microelectronic systems is a trend in the fi eld of new energy. In this paper, the inverse eff ect of magnetic shape memory alloy (MSMA) that is a new intelligent material, is used to design a new kind of vibration energy harvester, which is based on integrated cantilever beam. The structure of cantilever beam and magnetic fi eld loop are optimized, and the ideal structure model of vibration energy harvester is established. The magnetic fi eld is analyzed by using ANSYS fi nite element software. On the basis of developing the prototype of the harvester, the experimental platform is built and the harvester is tested. The results show that the output voltage of the MSMA vibration energy harvester based on cantilever beam can reach more than 300 mV, which has a wide frequency band of vibration energy harvesting, and possesses a good prospect for development and application.

RETURN CONTROL OF ELECTRONIC POWER STEERING UNEQUIPPED WITH AN ANGLE SEN

Shaosong Li,Luping Guo,Gaojian Cui,Zhixin Yu,Xiaohui Lu,Guodong Wang 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.2

A steering wheel may not be able to return to the center position due to friction torque in its mechanism. Thus, in this study, a return controller is developed to improve the returnability of an electric power steering vehicle without an angle sensor. The aligning moment is well estimated on the basis of a Kalman filter estimator. A trigger rule is also proposed to switch between assist and return controls. Finally, the compensation current for the return control is regulated in accordance with the aligning moment and vehicle speeds. Simulation and real vehicle results show that the proposed control system can significantly improve the returnability of the steering system.

Research and Experimental Analysis of Damping Characteristics of Magnetic Shape Memory Alloy

Zhang Qingxin,Fu Qihang,Wang Luping,Gao Yunhong 한국전기전자재료학회 2018 Transactions on Electrical and Electronic Material Vol.19 No.4

This paper systematically illustrates the deformation and damping mechanism of magnetic shape memory alloy (MSMA)and builds a damping mathematical model by using a single-degree-of-freedom vibration system. The results indicate thatabsorbed damping is proportional to the quadratic of external force and inversely proportional to the overall mass, the naturalfrequency and the total damping of the system when the system is in resonance. At the same time, the paper calculates therelative power and draws the stress–strain curve of mechanical property. The relations among temperature, stress, intensityof magnetic induction, and deformation of MSMA are studied through a static experiment. Meanwhile, an analysis of thedamping characteristic indicates that the external force is 25–30 N when the temperature ranges from 23 to 29 °C and thatthe deformation rate is the largest and the damping performance is the best at a magnetic induction strength of 0.55 T.

Electricity Load Forecast Emulation Research Based on the Multi-model Merit

Qingxin Zhang,Zhanbo Cui,Luping Wang,Yanki Zhou 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.4

Biomechanical Study of 3 Osteoconductive Materials Applied in Pedicle Augmentation and Revision for Osteoporotic Vertebrae: Allograft Bone Particles, Calcium Phosphate Cement, Demineralized Bone Matrix

Chongyu Jia,Renjie Zhang,Jiaqi Wang,Bo Zhang,Huaqing Zhang,Liang Kang,Luping Zhou,Cailiang Shen 대한척추신경외과학회 2023 Neurospine Vol.20 No.4

Objective: This study assessed biomechanical properties of pedicle screws enhanced or revised with 3 materials. We aimed to compare the efficacy of these materials in pedicle augmentation and revision. Methods: One hundred twenty human cadaveric vertebrae were utilized for in vitro testing. Vertebrae bone density was evaluated. Allograft bone particles (ABP), calcium phosphate cement (CPC), and demineralized bone matrix (DBM) were used to augment or revise pedicle screw. Post the implantation of pedicle screws, parameters such as insertional torque, pullout strength, cycles to failure and failure load were measured using specialized instruments. Results: ABP, CPC, and DBM significantly enhanced biomechanical properties of the screws. CPC augmentation showed superior properties compared to ABP or DBM. ABP-augmented screws had higher cycles to failure and failure loads than DBM-augmented screws, with no difference in pullout strength. CPC-revised screws exhibited similar strength to the original screws, while ABP-revised screws showed comparable cycles to failure and failure loads but lower pullout strength. DBM-revised screws did not match the original screws’ strength. Conclusion: ABP, CPC, and DBM effectively improve pedicle screw stability for pedicle augmentation. CPC demonstrated the highest efficacy, followed by ABP, while DBM was less effective. For pedicle revision, CPC is recommended as the primary choice, with ABP as an alternative. However, using DBM for pedicle revision is not recommended.

The applications of hybrid approach combining exact method and evolutionary algorithm in combinatorial optimization

Duan Suling,Jiang Shanlin,Dai Huan,Wang Luping,He Zhenan 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.3

Combinatorial optimization problems have very important applications in information technology, transportation, economics, management, network communication, and other fields. Since the problem size in real-scenario application is in large-scale, the demand for real-time and efficient solving approaches increases rapidly. The traditional exact methods guarantee the optimality of the final solution, but these methods can hardly solve the problem in acceptable time due to extremely high computational costs. Heuristic approaches can find feasible solutions in a limited time, while these approaches cannot meet the demand of solution quality. In recent years, hybrid algorithms based on exact methods and heuristic algorithms show outstanding performance in solving large-scale combinatorial optimization problems. The hybridization not only overcomes the shortcomings from single algorithm but also fully utilizes the search ability for population-based approaches as well as the interpretability in exact methods, which promotes the application of combinatorial optimization in real-world problems. This paper reviews existing studies on hybrid algorithms combining exact method and evolutionary computation, summarizes the characteristics of the existing algorithms, and directs the future research.