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Implementation of a subjective Visual Vertical and Horizontal Testing System Using Virtual Reality

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Computers, Materials & Continua 2021年第6期67卷 3669-3679页

作者： sungjin Lee Min Hong Hongly Va ji-Yun park Department of Software Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Korea Department of Neurology University of Ulsan college of MedicineUlsan University HospitalUlsan44033Korea

subjective visual vertical(SVV)and subjective visual horizontal(SVH)tests can be used to evaluate the perception of verticality and horizontality,respectively,and can aid the diagnosis of otolith dysfunction in clinical *** this study,SVV and SVH screen version tests are implemented using virtual reality(VR)equipment;the proposed test method promotes a more immersive feeling for the subject while using a simple equipment configuration and possessing excellent *** verify the performance of the proposed VR-based SVV and SVH tests,a reliable comparison was made between the traditional screen-based SVV and SVH tests and the proposed method,based on 30 healthy *** average results of our experimental tests on the VR-based binocular SVV and SVH equipment were−0.15◦±1.74 and 0.60◦±1.18,*** proposed VR-based method satisfies the normal tolerance for horizontal or vertical lines,i.e.,a±3◦error,as defined in previous studies,and it can be used to replace existing test methods.

关键词： subjective visual vertical subjective visual horizontal virtual reality unity3D FOVE HMD vestibular function tests diagnostic equipment

gscaLCA in R: Fitting Fuzzy Clustering Analysis Incorporated with Generalized Structured Component Analysis

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Computer Modeling in Engineering & Sciences 2022年第9期132卷 801-822页

作者： ji Hoon Ryoo Seohee park Seongeun Kim Heungsun Hwang Department of Education College of Educational SciencesYonsei UniversitySeoul03722South Korea Psychometrics Department American Board of Internal MedicinePhiladelphia19016USA Department of Educational Research Methodology School of EducationUniversity of North Carolina at GreensboroGreensboro27412USA Department of Psychology McGill UniversityMontrealH3A 0G4Canada

Clustering analysis identifying unknown heterogenous subgroups of a population(or a sample)has become increasingly popular along with the popularity of machine learning *** there are many software packages running clustering analysis,there is a lack of packages conducting clustering analysis within a structural equation modeling *** package,gscaLCA which is implemented in the R statistical computing environment,was developed for conducting clustering analysis and has been extended to a latent variable *** specifically,by applying both fuzzy clustering(FC)algorithm and generalized structured component analysis(GSCA),the package gscaLCA computes membership prevalence and item response probabilities as posterior probabilities,which is applicable in mixture modeling such as latent class analysis in *** a hybrid model between data clustering in classifications and model-based mixture modeling approach,fuzzy clusterwise GSCA,denoted as gscaLCA,encompasses many advantages from both methods:(1)soft partitioning from FC and(2)efficiency in estimating model parameters with bootstrap method via resolution of global optimization problem from *** main function,gscaLCA,works for both binary and ordered categorical *** addition,gscaLCA can be used for latent class regression as *** of profiles of latent classes based on the posterior probabilities is also available in the package *** paper contributes to providing a methodological tool,gscaLCA that applied researchers such as social scientists and medical researchers can apply clustering analysis in their research.

关键词： Fuzzy clustering generalized structured component analysis gscaLCA latent class analysis

Cauchy Problems for KdV-type Equations and Higher-Order Conditional Symmetries

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Communications in Theoretical Physics 2008年第3期49卷 545-548页

作者： LI ji-Na ZHANG Shun-Li ZUO su-Li Center for Nonlinear Studies Department of Mathematics Northwest University Xi＇an 710069 China Center of Nonlinear Science Ningbo University Ningbo 315211 China

We develop the generalized conditional symmetry （GCS） approach to solve the problem of dimensional reduction of Cauchy problems for the KdV-type equations. We characterize these equations that admit certain higherorder GCSs and show the main reduction procedure by some examples. The obtained reductions cannot be derived within the framework of the standard Lie approach.

关键词： KdV-type equations generalized conditional symmetry Cauchy problem

Priapism secondary to penile metastasis of rectal cancer

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World Journal of Gastroenterology 2009年第33期15卷 4209-4211页

作者： ji Chan park Wook Hyun Lee Min Kyu Kang suk Young park Division of Oncology Department of Internal MedicineThe Catholic University of KoreaDaejeon St. Mary's Hospital

Metastatic penile carcinoma is rare and usually originates from genitourinary tumors. The presenting symptoms or signs have been described as nonspecific except for priapism. Rectal adenocarcinoma is a very unusual source of metastatic penile carcinoma. We report a case of metastatic penile carcinoma that originated from the rectum. Symptomatic improvement occurred with palliative radiotherapy.

关键词： Penile neoplasms Neoplasm metastasis Priapism Rectal cancer

Changes in brain activation patterns according to cross-training effect in serial reaction time task An functional MRI study

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Neural Regeneration Research 2013年第7期8卷 639-646页

作者： Yong Hyun Kwon Jung Won Kwon ji Won park Department of Physical Therapy Yeungnam College of Science & Technology Department of Physical Therapy College of Health Science Catholic University of Daegu

Cross-training is a phenomenon related to motor learning, where motor performance of the untrained limb shows improvement in strength and skill execution following unilateral training of the homologous contralateral limb. We used functional MRI to investigate whether motor performance of the untrained limb could be improved using a serial reaction time task according to motor sequential learning of the trained limb, and whether these skill acquisitions led to changes in brain activation patterns. We recruited 20 right-handed healthy subjects, who were randomly allocated into training and control groups. The training group was trained in performance of a serial reaction time task using their non-dominant left hand, 40 minutes per day, for 10 days, over a period of 2 weeks. The control group did not receive training. Measurements of response time and percentile of response accuracy were performed twice during pre- and post-training, while brain functional MRI was scanned during performance of the serial reaction time task using the untrained right hand. In the training group, prominent changes in response time and percentile of response accuracy were observed in both the untrained right hand and the trained left hand between pre- and post-training. The control group showed no significant changes in the untrained hand between pre- and post-training. In the training group, the activated volume of the cortical areas related to motor function （i.e., primary motor cortex, premotor area, posterior parietal cortex） showed a gradual decrease, and enhanced cerebellar activation of the vermis and the newly activated ipsilateral dentate nucleus were observed during performance of the serial reaction time task using the untrained right hand, accompanied by the cross-motor learning effect. However, no significant changes were observed in the control group. Our findings indicate that motor skills learned over the 2-week training using the trained limb were transferred to the opposi

关键词： neural regeneration neuroimaging cross-training effects motor skill learning cortical activation cerebellar activation serial reaction time task functional MRI response time response accuracy primary motor cortex dentate nucleus vermis grants-supported paper photographs-containingpaper neuroregeneration

A computational method for wide-azimuth 3D dip-angle gathers using Gaussian beam migration

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Petroleum Science 2022年第5期19卷 2081-2094页

作者： su-Bin Zhuang jian-Ping Huang ji-Dong Yang Zhen-Chun Li School of Geosciences China University of Petroleum(East China)Qingdao266580ShandongChina

The dip-angle-domain common-image gather(DDCIG)is a key tool to separate the diffraction and reflection imaging *** with different spatial geometries produce different responses in *** with Kirchhoff migration,Gaussian beam migration(GBM)is more effective and robust to overcome the multipathing *** a ray-based method,it has explicit angle information naturally during the *** have developed a 3D DDCIG computational method using GBM,which obtain both the imaging result and angle-domain gathers with only one pass of *** angle-gather computation is based on geometrical optics,and multiple angle conversions are implemented under the rules of space geometry,which helps to avoid rounding errors and improve ***,the multi-azimuth joint presentation strategy is proposed to describe the characteristic of omnidirectional dip angles using a finite number of *** using a 2D model to illustrate application advantages of DDCIG,we apply the proposed method to two 3D models to test its feasibility and accuracy.A field data example further demonstrates the adaptability of our method to seismic imaging for a land survey.

关键词： Gaussian beam Dip-angle gathers 3D imaging Diffraction

Force-constant-decayed anisotropic network model:An improved method for predicting RNA flexibility

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Chinese Physics B 2022年第6期31卷 765-771页

作者： Wei-Bu Wang Xing-Yuan Li ji-Guo su Key Laboratory for Microstructural Material Physics of Hebei Province School of ScienceYanshan UniversityQinhuangdao 066004China The Sixth Laboratory National Vaccine and Serum InstituteBeijing 101111China

RNA is an important biological macromolecule,which plays an irreplaceable role in many life *** functions are largely determined by its tertiary structure and the intrinsic dynamics encoded in the ***,how to effective extract structure-encoded dynamics is of great significance for understanding RNA *** network model(ANM)is an efficient method to investigate macromolecular dynamical properties,which has been widely used in protein ***,the performance of the conventional ANM in describing RNA flexibility is not as good as that on *** this study,we proposed a new approach,named force-constant-decayed anisotropic network model(fcdANM),to improve the performance in investigating the dynamical properties encoded in RNA *** fcd-ANM,nucleotide pairs in RNA structure were connected by springs and the force constant of springs was decayed exponentially based on the separation distance to describe the differences in the inter-nucleotide interaction *** performance of fcd-ANM in predicting RNA flexibility was evaluated using a non-redundant structure database composed of 51 *** results indicate that fcd-ANM significantly outperforms the conventional ANM in reproducing the experimental B-factors of nucleotides in RNA structures,and the Pearson correlation coefficient between the predicted and experimental nucleotide B-factors was distinctly improved by 21.05%compared to the conventional ***-ANM can serve as a more effective method for analysis of RNA dynamical properties.

关键词： anisotropic network model B-factor RNA

Stability analysis for discrete linear systems with state saturation by a saturation-dependent Lyapunov functional

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控制理论与应用（英文版） 2012年第4期10卷 539-542页

作者： Xiaofu ji Mingwei REN Hongye su jinfeng GAO School of Electrical and Information Engineering Jiangsu University National Key Laboratory of Industrial Control Technology Institute of Cyber-systems and ControlZhejiang University Institute of Automation Zhejiang Sci-Tech University

This paper concerns the stability analysis problem of discrete linear systems with state saturation using a saturation-dependent Lyapunov functional. We introduce a free matrix characterized by the sum of the absolute value of each elements for each row less than 1, which makes the state with saturation constraint reside in a convex polyhedron. A saturation-dependent Lyapunov functional is then designed to obtain a sufficient condition for such systems to be globally asymptotically stable. Based on this stability criterion, the state feedback control law synthesis problem is also studied. The obtained results are formulated in terms of bilinear matrix inequalities that can be solved by the presented iterative linear matrix ineoualitv algorithm. Two numerical examoles are used to demonstrate the effectiveness of the nronosed method_

关键词： Discrete linear systems State saturation Saturation-dependent Iterative linear matrix inequality

A strategic flight conflict avoidance approach based on a memetic algorithm

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Chinese Journal of Aeronautics 2014年第1期27卷 93-101页

作者： Guan Xiangmin Zhang Xuejun Han Dong Zhu Yanbo Lv ji su jing School of Electronic and Information Engineering Beihang University National Key Laboratory of CNS/ATM Beihang University Aviation Data Communication Corporation

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.

关键词： Air traffic control Combinatorial optimization Conflict avoidance Genetic algorithm Memetic algorithm