The anterior commissure (AC) is one of the important commissure projections in the brain that conveys information from one side of the nervous system to the other. During development, the axons from the anterior AC (aAC) and the posterior AC (pAC) course in the same dorsoventral plane and converge into a common fascicle for midline crossing. Previously, we reported that Tsukushi (TSK), a member...

BACKGROUND Complaints of arm, neck and shoulder are common in Western societies. Of those consulting a general practitioner (GP) with non-traumatic arm, neck or shoulder complaints, about 50% do not recover within 6 months. Kinesiophobia (also known as fear of movement/(re)injury) may also play a role in these complaints, as it may lead to avoidance behaviour resulting in hypervigilance to bodi...

Swinkels-Meewisse et al. (2003) examined some of the psychometric properties of both the Dutch Tampa Scale for Kinesiophobia (TSK-DV) and the Fear-Avoidance Beliefs Questionnaire (FABQ) in acute low back pain patients. We congratulate the authors for their work; early identification of acute (low back) pain patients at risk of becoming chronic may be of prime importance to reduce both economic ...

This paper presents a new approach of achieving inverse model control (IMC) of nonlinear plants with TaSe Takagi-Sugeno-Kang (TSK) fuzzy system. The inverse control law, designed for the control of nonlinear plant dynamics, is derived directly based on approximate model method and it is implemented using TaSe TSK fuzzy system modeling. The robust stability of the IMC is analyzed using Lyapunov ...

This study suggests new learning laws for Adaptive Network based Fuzzy Inference System that is structured on the basis of TSK type III as a system identifier. Stable learning algorithms for consequence parts of TSK type III rules are proposed on the basis of the Lyapunov stability theory and some constraints are obtained. Simulation results are given to validate the results. It is shown that i...

In an intelligent manufacturing context, the smooth operations of mechanical equipment in production process enterprises and timely fault diagnosis during have become increasingly important. However, effect traditional depends on feature extraction quality experts’ empirical knowledge, which is inefficient costly, cannot match needs manufacturing. The TSK fuzzy system has a strong approximation...

To test the Turkish version of The Self-Efficacy for Home Exercise Programs Scale (SEHEPS-T) in patients with musculoskeletal diseases validity and reliability. performance scale was evaluated 122 varying diseases, repeated to assess its test-retest questionnaire applied included a Demographic Socioeconomic Characteristics Form, SEHEPS-T, (EXSE), Tampa Kinesiophobia (TSK). Exploratory Factor An...

Abstrad A Fuzzijed TSK-type Recurrent Neiiral Fuzzy Network (FTRNFN) for handling furry temporal information is proposed in this paper. The inputs and oulputs of FTRNFN are fuzzy pattems represented by Gaussian or isosceles triangular membership functions. In structure, FTRNFN is a recurrent fizzy nefwork constructed from a series of recurrent fuzzy +then rules with TSK-t)pe Consequent parts. T...

In this paper, a multi-objective constrained optimization model is proposed to improve interpretability of TSK fuzzy models. This approach allows a linguistic approximation of the fuzzy models. Three different multi-objective evolutionary algorithms (MONEA, ENORA and NSGA-II) are used together with neural network techniques. These algorithms are checked out in the approximation of a dynamic non...

This paper presents aspects concerning the implementation of an adaptive Gravitational Search Algorithm (GSA) in the optimal tuning of fuzzy controllers. Takagi-Sugeno-Kang proportionalintegral fuzzy controllers (TSK PI-FCs) are designed and tuned for a class of nonlinear servo systems. The adaptive GSA is based on five stages to solve the optimization problems with objective functions which de...