objective(s): osteoarthritis (oa), as a known degenerative joint disease, is the most common form of arthritis. in this study, we aimed to elucidate unclear pathogenesis of oa. materials and methods: rabbit models of oa were established by the transection of the anterior cruciate ligament. rabbits were randomly divided into three equal groups: the experimental group (oa modeling, treated with e...

How can disparate neural and behavioral measures be integrated? Turner and colleagues propose joint modeling as a solution. Joint modeling mutually constrains the interpretation of brain and behavioral measures by exploiting their covariation structure. Simultaneous estimation allows for more accurate prediction than would be possible by considering these measures in isolation.

The human knee joint has a three dimensional geometry with multiple body articulations that produce complex mechanical responses under loads that occur in everyday life and sports activities. To produce the necessary joint compliance and stability for optimal daily function various menisci and ligaments are present while muscle forces are used to this effect. Therefore, knowledge of the complex...

this study aims at presenting a numerical model for predicting grout flow and penetration length into the jointed rock mass using universal distinct element code (udec). the numerical model is validated using practical data and analytical method for grouting process. input data for the modeling, including geomechanical parameters along with grout properties, were obtained from a case study. the...

PURPOSE Patellofemoral (PF) pain is common among athletes and may be caused by increased subchondral bone stress as a result of increased stress in the cartilage of the femur or patella. This article presents a modeling pipeline to estimate in vivo cartilage stress in the PF joint. METHODS The modeling pipeline uses the finite element method to calculate stresses and strains in the PF joint c...

Emotion lexica are commonly used resources to combat data poverty in automatic emotion detection. However, vocabulary coverage issues, differences construction method and discrepancies framework representation result a heterogeneous landscape of detection resources, calling for unified approach utilizing them. To this, we present an extended lexicon 30,273 unique entries, which is merging eight...

This paper describes a novel framework for statistical parametric speech synthesis in which statistical modeling of the speech waveform is performed through the joint estimation of acoustic and excitation model parameters. The proposed method combines extraction of spectral parameters, considered as hidden variables, and excitation signal modeling in a fashion similar to factor analyzed traject...