Emergent constraints on future projections of the western North Pacific Subtropical High

Xiaolong Chen,Tianjun Zhou,Peili Wu,Zhun Guo,Minghuai Wang 한국기상학회 2023 한국기상학회 학술대회 논문집 Vol.2023 No.4

Comprehensive Evaluation of the Designing Scheme of Remote Students Practice Project by AHP Method

Xiaolong Chen 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.12

We fully study the various factor indexes involved, use the AHP to build an integrated-assessed mathematic model of hierarchy of good distinct and structure of high efficiency and calculate the weight assessment indicator of each hierarchy. This paper uses AHP to build the general objective function of the designing scheme of students practice property. By the statistical analysis of the tip of various property indexes of mass property data, we choose the corresponding subordinating degree functions in the fuzzy mathematic field to determine the appropriate subjection function, calculate the relevant degree of membership, and finally conduct the integrated assessment of mathematic model of the design of remote students practice system. The paper uses C# language in the developing environment of VS2010 to develop the fuzzy-comprehensive-assessment software system of the designing scheme of students, and, we also use the software to analysis the systematic reliability of this scheme by living example. Through this work, we could offer a scientific and rational theory of technology to students for the support of remote Students practice projects research department.

Joint Beamforming and Power Allocation Cognitive Radio Networks under Imperfect CSI

Jie Chen,Wen Xi,Xiaolong Sun 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.1

Traditional beamforming and power control algo-rithms in cognitive radio (CR) are based on the assumption of perfect channel state information (CSI) however; this may lead to performance degradation in realistic systems. In this paper, the problem of joint beamforming and power control is investigated in underlay CR networks with imperfect CSI. Our objective is to maximize the sum utility of secondary users (SUs) under the primary users (PUs) interference power constraints and the transmission power constraint of SUs. First, the joint beamforming and power control problem is formulated under game theory framework, where the SUs compete with each other over the beamforming vectors and transmission power level made available by the PUs. Moreover, the channel uncertainty is described using ellipsoid sets and the interference power constraints can be converted into robust interference power constraints. Besides, Nash equilibrium (NE) is considered as the solution of this game. Finally, simulation results show that the proposed scheme can converge to a locally optimal pair of beamforming vector and transmission power level in the presence of channel uncertainty.

Bacterial Community Structure and Function Shift in Rhizosphere Soil of Tobacco Plants Infected by Meloidogyne incognita

Wenjie Tong(Wenjie Tong),Junying Li(Junying Li),Wenfeng Cong(Wenfeng Cong),Cuiping Zhang(Cuiping Zhang),Zhaoli Xu(Zhaoli Xu),Xiaolong Chen(Xiaolong Chen),Min Yang(Min Yang),Jiani Liu(Jiani Liu),Lei Yu 한국식물병리학회 2022 Plant Pathology Journal Vol.38 No.6

Root-knot nematode disease is a widespread and catastrophic disease of tobacco. However, little is known about the relationship between rhizosphere bacterial community and root-knot nematode disease. This study used 16S rRNA gene sequencing and PICRUSt to assess bacterial community structure and function changes in rhizosphere soil from Meloidogyne incognita-infected tobacco plants. We studied the rhizosphere bacterial community structure of M. incognita-infected and uninfected tobacco plants through a paired comparison design in two regions of tobacco planting area, Yuxi and Jiuxiang of Yunnan Province, southwest China. According to the findings, M. incognita infection can alter the bacterial population in the soil. Uninfested soil has more operational taxonomic unit numbers and richness than infested soil. Principal Coordinate Analysis revealed clear separations between bacterial communities from infested and uninfested soil, indicating that different infection conditions resulted in significantly different bacterial community structures in soils. Firmicutes was prevalent in infested soil, but Chloroflexi and Acidobacteria were prevalent in uninfested soil. Sphingomonas, Streptomyces, and Bradyrhizobium were the dominant bacteria genera, and their abundance were higher in infested soil. By PICRUSt analysis, some metabolism-related functions and signal transduction functions of the rhizosphere bacterial community in the M. incognita infection-tobacco plants had a higher relative abundance than those uninfected. As a result, rhizosphere soils from tobacco plants infected with M. incognita showed considerable bacterial community structure and function alterations.

Modeling and Analysis for Output Impedance of Buck Converters

Xiaolong Yue,Shuhao Yang,Yin Chen,Fang Zhuo,Yunqing Pei 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6

In distributed power systems, the impedance model of power modules is very important because of the close relationship between impedance and stability. For buck converters with a sinusoidal current perturbation at the output terminal, the output voltage will contain multiple components in frequency domain. The output impedance characteristics of power converters are actually single input multiple output (SIMO). However, traditional models and modeling methods only take the perturbation frequency into account and ignore the other components. The obtained impedance models, with single input single output (SISO) forms, are actually simplifications of the real impedance. In this paper, the output impedance of buck converters with SIMO characteristics is modeled by a matrix based method. Detailed analysis shows that it is reasonable to only consider the perturbation frequency itself in low frequency regions, but in high frequency regions, especially those around the switching frequency and its multiples, the corresponding low frequency component is also very significant and should be taken into account. Simulation and experimental results validate the accuracy and effectiveness of the proposed modeling method and conclusions.

Mass trapping of apple leafminer, Phyllonorycter ringoniella with sex pheromone traps in apple orchards

Xiaolong Li,Shubao Geng,Hanjie Chen,정철의,Chunliang Wang,Hongtao Tu,Jinyong Zhang 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.1

The apple leafminer, Phyllonorycter ringoniella Matsumura (Lepidoptera: Gracillariidae), is an important insect pest of apple, with four to six generations a year in Korea, Japan, and China. The effect of mass trapping with sex pheromone traps on P. ringoniellawas investigated in apple orchards in 2015 in Yinchuan, China. Trap density treatments were 0, 75, 150, and 225/ha in the Control, T1, T2, and T3 orchard blocks, respectively. Average numbers of male catches permonitoring trapwere significantly lower in T2 and T3 treatments and highest in the control. Control efficiencies estimated fromthe leaf damage were 86.67±4.71, 97.23±3.93, and 100% in T1, T2, and T3, respectively. Significant within-tree migration of the moths from the lower part to the upper part was indicated by the shift of trap catches from lower (1–2 m high) to upper portions (3 m high) of the tree from early August. Mass trapping with sex pheromone traps can be one effective and environmentally friendly method to reduce the P. ringoniella populations in apple orchards. Trap density of 150/ha and hanging at 2 m height was recommended for growers to control and monitor its population, respectively

Effectiveness of a home-based exercise program among patients with lower limb spasticity post-stroke: A randomized controlled trial

Chen Shaomin,Chang Lv,Wu Jiaozhen,Chengwei Zhou,Xiaolong Shui,Yi Wang 한국간호과학회 2021 Asian Nursing Research Vol.15 No.1

Purpose: To evaluate the effectiveness of advanced practice nurseeguided home-based rehabilitation exercise program (HREPro) among patients with lower limb spasticity post-stroke. Methods: This randomized controlled study recruited 121 patients with lower limb spasticity poststroke. Intervention (n = 59) and control (n = 62) groups underwent 12-month HREPro and conventional rehabilitation, respectively, after discharge. The FugleMeyer assessment of spasticity measurement, modified Ashworth scale of motor function, 10-Meter Walk Test of walking ability, and Barthel index of activities of daily living (ADL) were evaluated at 0, 3, 6, and 12 months after discharge. Results: Significant differences were found in spasticity degree, motor function, walking ability, and ADL at 6 and 12 months after discharge between the control and intervention groups. Lower limb spasticity and ADL in the intervention group were significantly improved. Conclusion: HREPro is effective for rehabilitation of patients with lower limb spasticity post-stroke and has favorable home application.

Dynamic optimization design of the suspension parameters of car bodymounted equipment via analytical target cascading

Jie Chen,Yangjun Wu,Limin Zhang,Xiaolong He,Shijie Dong 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.5

Under dynamic conditions, the dynamic force between the suspended equipment and the car body is substantially increased. This increase not only affects the ride comfort but also substantially raises the likelihood of fatigue damage to the suspended equipment. A multiobjective analytical target cascading (ATC) optimization is proposed to improve the ride comfort of high-speed trains and reduce the vibration of the suspended equipment. A mathematical simulation model of the vehicle equipment system is established, and the acceleration frequency-response function expression of the car body and the suspension system is obtained. The comfort index of the car body and the acceleration root mean square (RMS) of the suspended equipment are calculated by combining the German vertical irregular track spectrum and the comfort filter function. Meanwhile, the ATC method is used to optimize the car body comfort index and the acceleration RMS of the underframe suspended equipment. Then, the availability of the optimization method is evaluated via numerical simulation. Compared with the original suspension scheme of the underframe equipment, when the running speed of the vehicle is 300 km/h, the RMS value of the vibrational acceleration of the underframe equipment after optimization decreases by 19.9 %, and the ride comfort indexes at the car body center and above the front and rear bogies are improved by 6.4 %, 0.1 %, and 1.1 %, respectively. Simulation results demonstrate that ATC optimization can improve the railway vehicle ride comfort and reduce the vibration of the suspended equipment. This paper provides a new approach to the suspension parameter design of equipment.

Optimal design of a six-axis vibration isolator via Stewart platform by using homogeneous Jacobian matrix formulation based on dual quaternions

Yao Li,XiaoLong Yang,Hongtao Wu,Bai Chen 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.1

A six-axis vibration isolation system is essential to high-precision space systems for attenuating vibrations on precise instruments. The kinematic optimal design is researched for the space six-axis vibration isolator via Stewart mechanism. Jacobian matrix is the basis of the kinematic performance index. However, the conventional Jacobian matrix is not usually dimensionally homogeneous due to the inhomogeneous physical units, caused by the different mathematical representations of the rotation and translation. In this paper, we propose a dual quaternion approach to derive the dimensionally homogeneous Jacobian matrix of a general six-axis parallel mechanism. Two quaternions are used to parameterize the rotation and translation of the platform. The dimensionally scaling factor for the generalized Jacobian matrix is defined as the ratio of the norms of the two quaternions. The dimensionally homogenous Jacobian matrix is then obtained and applied to the optimal design of the six-axis vibration isolator. The performance index of isotropy is considered to make the isolator minimum kinematic coupling in its working configuration.

CDH17 nanobodies facilitate rapid imaging of gastric cancer and efficient delivery of immunotoxin

Jingbo Ma,Xiaolong Xu,Chunjin Fu,Peng Xia,Ming Tian,Liuhai Zheng,Kun Chen,Xiaolian Liu,Yilei Li,Le Yu,Qinchang Zhu,Yangyang Yu,Rongrong Fan,Haibo Jiang,Zhifen Li,Chuanbin Yang,Chengchao Xu,Ying Long,J 한국생체재료학회 2022 생체재료학회지 Vol.26 No.4

Background: It is highly desirable to develop new therapeutic strategies for gastric cancer given the low survival rate despite improvement in the past decades. Cadherin 17 (CDH17) is a membrane protein highly expressed in cancers of digestive system. Nanobody represents a novel antibody format for cancer targeted imaging and drug delivery. Nanobody targeting CHD17 as an imaging probe and a delivery vehicle of toxin remains to be explored for its theragnostic potential in gastric cancer. Methods: Naïve nanobody phage library was screened against CDH17 Domain 1-3 and identified nanobodies were extensively characterized with various assays. Nanobodies labeled with imaging probe were tested in vitro and in vivo for gastric cancer detection. A CDH17 Nanobody fused with toxin PE38 was evaluated for gastric cancer inhibition in vitro and in vivo. Results: Two nanobodies (A1 and E8) against human CDH17 with high affinity and high specificity were successfully obtained. These nanobodies could specifically bind to CDH17 protein and CDH17-positive gastric cancer cells. E8 nanobody as a lead was extensively determined for tumor imaging and drug delivery. It could efficiently co-localize with CDH17-positive gastric cancer cells in zebrafish embryos and rapidly visualize the tumor mass in mice within 3 h when conjugated with imaging dyes. E8 nanobody fused with toxin PE38 showed excellent anti-tumor effect and remarkably improved the mice survival in cell-derived (CDX) and patient-derived xenograft (PDX) models. The immunotoxin also enhanced the anti-tumor effect of clinical drug 5-Fluorouracil. Conclusions: The study presents a novel imaging and drug delivery strategy by targeting CDH17. CDH17 nanobodybased immunotoxin is potentially a promising therapeutic modality for clinical translation against gastric cancer.