Regional Brain Activity During Rest and Gastric Water Load in Subtypes of Functional Dyspepsia: A Preliminary Brain Functional Magnetic Resonance Imaging Study

Yanwen Chen,Ruifeng Wang,Bo Hou,Feng Feng,Xiucai Fang,Liming Zhu,Xiaohong Sun,Zhifeng Wang,Meiyun Ke 대한소화기 기능성질환∙운동학회 2018 Journal of Neurogastroenterology and Motility (JNM Vol.24 No.2

Background/Aims Functional dyspepsia (FD) remains a great clinical challenge since the FD subtypes, defined by Rome III classification, still have heterogeneous pathogenesis. Previous studies have shown notable differences in visceral sensation processing in the CNS in FD compared to healthy subjects (HS). However, the role of CNS in the pathogenesis of each FD subtype has not been recognized. Methods Twenty-eight FD patients, including 10 epigastric pain syndrome (EPS), 9 postprandial distress syndrome (PDS), and 9 mixed-type, and 10 HS, were enrolled. All subjects underwent a proximal gastric perfusion water load test and the regional brain activities during resting state and water load test were investigated by functional magnetic resonance imaging. Results For regional brain activities during the resting state and water load test, each FD subtype was significantly different from HS (P < 0.05). Focusing on EPS and PDS, the regional brain activities of EPS were stronger than PDS in the left paracentral lobule, right inferior frontal gyrus pars opercularis, postcentral gyrus, precuneus, insula, parahippocampal gyrus, caudate nucleus, and bilateral cingulate cortices at the resting state (P < 0.05), and stronger than PDS in the left inferior temporal and fusiform gyri during the water load test (P < 0.05). Conclusions Compared to HS, FD subtypes had different regional brain activities at rest and during water load test, whereby the differences displayed distinct manifestations for each subtype. Compared to PDS, EPS presented more significant differences from HS at rest, suggesting that the abnormality of central visceral pain processing could be one of the main pathogenesis mechanisms for EPS.

Molecular Design and Engineering of Phosphopeptide Ligands to Target Lung Cancer Polo-like Kinase

Xiyan Yu,Yanwen Li,Ying Lou,Tong Wang 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.2

Polo-like kinase (Plk) plays a central role in centrosome cycle and is closely associated with the oncogenesis of lung cancer. The protein consists of a catalytic kinase domain (KD) and a regulatory polo-box domain (PBD); either direct inhibition of the KD’s catalytic activity or indirect disruption of the PBD–substrate interaction can be used to potentially suppress the pathological activation of lung cancer Plk. Here, we reported a successful molecular design and engineering of phosphopeptide ligands to target Plk PBD domain by integrating in silico modeling and in vitro assay. In the procedure, a helical peptide segment hps was derived from dimerization interface of the complex crystal structure of domain dimer using bioinformatics approach, which was then used as sequence template to generate potent phosphopeptide binders of Plk PBD domain in terms of a systematic residue mutation profile. Fluorescence anisotropy assays were conducted to substantiate the findings and conclusions obtaining from the molecular engineering. Consequently, three helical phosphopeptides, including the native hps and its two mutants hps-m1 and hps-m2, were successfully designed that can independently rebind to Plk PBD domain with a moderate or high affinity (Kd = 127, 26, and 5 μM, respectively). These peptide ligands can be considered as potent self-competitors to disrupt PBD dimerization in lung cancer metastasis. Structural and energetic analysis revealed that hydrophobic forces and van der Waals contacts confer strong stability for domain–peptide complex system, while hydrogen bonds and electrostatic interactions contribute specificity and selectivity to the complex recognition.

Optional Insurance Compensation Rate Selection and Evaluation in Financial Institutions

Xu Zhikun,Wang Yanwen,Liu Zhaohui 보안공학연구지원센터(IJUNESST) 2014 International Journal of u- and e- Service, Scienc Vol.7 No.1

Deciphering the neuroprotective effect of ascorbic acid mediated synthesis of iron oxide nanoparticles against Parkinson’s disease: an in vitro and in vivo approach

Linxi Li,Ping Luo,Shaochang Wu,Yanwen Wang 한국고분자학회 2023 Macromolecular Research Vol.31 No.10

One of the most prevalent neurological movement diseases affecting the geriatric population globally is Parkinson’s disease (PD). Recent studies have highlighted the potency of biomolecules in the generation of nanomaterials and also over their impact on neuroprotection. The objective of this research was to investigate the potential of iron oxide nanoparticles produced using ascorbic acid (AA-IONPs) against PD. Numerous analytical methods including UV–Vis analysis, Fourier-Transform Infrared Spectroscopy (FTIR), dynamic light scattering (DLS), and electron microscopy (SEM, TEM), were used to analyze the produced AA-IONPs. Nitric oxide, prostaglandin E2, and inflammatory cytokines analyses such as IL-6 and IL-1 were employed to assess the neuroprotective effect of synthesized AA-IONPs on inflammatory agent lipopolysaccharides driven murine microglial BV2 cells. And also Parkinson-induced C57BL/6 mice were given the nanoparticle treatment to confirm the in vivo effects of the produced nanoparticles. Our characterization findings had demonstrated that AA-IONPs have a significant role in acting as an ideal nano drug and may have the ability to reduce inflammation in in vitro murine microglial BV2. The outcomes of in vivo tests conclusively show that AA-IONPs had reduced neuroinflammation and enhanced motor coordination in Parkinson’s disease-induced rats.

Mechanical properties of coconut fiber-reinforced coral concrete

Cunpeng Liu,Fatimah De'nan,Qian Mo,Yi Xiao,Yanwen Wang 국제구조공학회 2024 Structural Engineering and Mechanics, An Int'l Jou Vol.90 No.2

This study examined the changes in the mechanical properties of coral concrete under different coconut fiber admixtures. To accomplish this goal, the compressive strength, splitting tensile strength, flexural strength and elastic modulus properties of coral concrete blocks reinforced with coconut fibers were measured. The results showed that the addition of coconut fiber had little effect on the cube and axial compressive strengths. With increasing coconut fiber content, the flexural strength and splitting tensile strength of the concrete changed substantially, first by increasing and then by decreasing, with maximum increases of 36.0% and 12.8%, respectively; additionally, the addition of coconut fibers resulted in a failure type with some ductility. When the coconut fiber-reinforced coral concrete was 7 days old, it reached approximately 74% of its maximum strength. The addition of coconut fiber did not affect the early strength of the coral concrete mixed with seawater. When the amount of coconut fiber was no more than 3 kg/m3, the resulting concrete elastic modulus decreased only slightly from that of a similar concrete without coconut fiber, and the maximum decrease was 5.4%. The optimal dose of coconut fiber was 3 kg/m3 in this study.

Implicit Detection of Hidden Processes with a Local-Booted Virtual Machine

Yan Wen,Huaimin Wang,Jinjing Zhao 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.4

Currently stealth malware is becoming a major threat to the PC computers. Process hiding is the technique commonly used by stealth malware to evade detection by anti-malware scanners. On the defensive side, previous host-based approaches will be defeated once the privileged stealth malware controls a lower reach of the system. The virtual machine (VM) based solutions gain tamper resistance at the cost of losing the OS-level process view. Moreover, existing VM-based approaches cannot introspect the preinstalled OS which is just the protecting concern for PC users. In this paper, we present a new VM-based approach called Libra which accurately reproduces the software environment of the underlying preinstalled OS within the Libra VM and provides an OS-level semantic view of the processes. With our new local-booting technology, Libra VM just boots from the underlying host OS but not a newly installed OS image. Thus, Libra provides a way to detect the existing process-hiding stealth malware in the host OS. In addition, instead of depending on the guest information which is subvertable to the privileged guest malware, Libra adopts a unique technique to implicitly construct the Trusted View of Process List (TVPL) from within the virtualized hardware layer. Our evaluation results with real-world hiding-process rootkits, which are widely used by stealth malware, demonstrate its practicality and effectiveness.

Research on the Method of Fault Diagnosis Based on Multiple Classifiers Fusion

Yan Wen,Jiwen Tan,Hong Zhan,Hao Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.2

In traditional fault diagnosis method, a large number of experiments are needed to get the optimal performance classifier which diagnoses type of fault. Because of classifier algorithm limit, there is no one classifier can be applied to all kinds of fault diagnosis. In order to avoid the disadvantages caused by single classifier approach, decision level fusion method based on multiple classifiers fusion is introduced in the field of fault diagnosis. The fusion method with fuzzy comprehensive evaluation is put forward and the basic evaluation model is set up. The reasonable distribution of classifiers weight that affects diagnosis result directly is vital. Firstly, the evaluation function which measures member classifier’s diagnostic accuracy and correctness is constructed based on the theory of information entropy. Then, weights are distributed to each classifier with entropy coefficient according to the value of evaluation function. Experiments are carried out to demonstrate the effectiveness of the proposed method and results show that fault recognition rate after fusion is higher compared with the single classifier method.

Robust Adaptive Sliding‑Mode Control for Permanent Magnet Spherical Actuator with Uncertainty Using Dynamic Surface Approach

Yan Wen,Guoli Li,Qunjing Wang,Xiwen Guo 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6

This paper presents a position tracking control method for a three degree-of-freedom permanent magnet spherical actuator (PMSA). The control method is designed based on a dynamic model of the PMSA with uncertainties including modelling errors and external disturbance. Sliding-mode surface are adopted to restrain and eliminate the efect of external disturbances. To compensate modelling errors, an adaptive law is employed to estimate unknown model parameters so that model information can be updated in real time. By the use of dynamic surface approach, three frst-order flters are introduced to avoid the explosion of derivative terms caused by traditional adaptive backstepping approach. The stability of the closed-loop system using the proposed controller is confrmed through Lyapunov theorem. The test bench consisted of the prototype of PMSA, the host computer, the current controller and the orientation detection device is established for experiments. Simulation and experimental results are provided to validate efectiveness of the proposed method.