BACKGROUND Despite striking neuropsychological and behavioural differences between Alzheimer's disease (AD) and frontotemporal dementia (FTD), clinical diagnostic criteria failed to discriminate FTD from AD patients. We therefore developed the Middelheim Frontality Score (MFS), a disease-long clinical and behavioural assessment tool that measures frontal lobe features, and set up this prospecti...

BACKGROUND AND AIMS Activated myofibroblast-like cells, originating from hepatic stellate cells (HSC/MFs) or other cellular sources, play a key profibrogenic role in chronic liver diseases (CLDs) that, as suggested by studies in animal models or rat HSC/MFs, may be modulated by reactive oxygen intermediates (ROI). In this study, human HSC/MFs, exposed to different levels of superoxide anion (O(...

INTRODUCTION Previous studies have shown that the number of myoblastically differentiated fibroblasts known as myofibroblasts (MFs) is significantly increased in stiff joint capsules, indicating their crucial role in the pathogenesis of post-traumatic joint stiffness. Although the mode of MFs' function has been well defined for different diseases associated with tissue fibrosis, the underlying ...

Marfan syndrome (MFS) is an autosomal dominant inheritary disorder of the connective tissue. We report clinical features of a Chinese family with MFS and identify mutations in fibrillin-1 gene (FBN1). In this study, all three members of this family underwent complete ophthalmologic examinations. Two of the three members were diagnosed with MFS. Molecular genetic analysis was performed on the th...

In the past two decades, Micro Fluidic Systems (MFS) have emerged as a powerful tool for biosensing, particularly in enriching and purifying molecules and cells in biological samples. Compared with conventional sensing techniques, distinctive advantages of using MFS for biomedicine include ultra-high sensitivity, higher throughput, in-situ monitoring and lower cost. This review aims to summariz...

Combining multiple classiiers is an eeective technique for improving accuracy. There are many general combining algorithms, such as Bagging, Boosting, or Error Correcting Output Coding, that signiicantly improve classiiers like decision trees, rule learners, or neural networks. Unfortunately, these combining methods do not improve the nearest neighbor classiier. In this paper, we present MFS, a...

Combining multiple classi ers is an e ective technique for improving accuracy. There are many general combining algorithms, such as Bagging, Boosting, or Error Correcting Output Coding, that signi cantly improve classi ers like decision trees, rule learners, or neural networks. Unfortunately, these combining methods do not improve the nearest neighbor classi er. In this paper, we present MFS, a...

Naomi Shinomiya Hell was the first researcher to investigate the physiological adaptations to a meal-feeding scheme (MFS) in Brazil. Over a period of 20 years, from 1979 to 1999, Naomi's group determined the physiological and metabolic adaptations induced by this feeding scheme in rats. The group showed the persistence of such adaptations even when MFS is associated with moderate exercise train...

In this work we consider the inverse problem of detecting inclusions or cavities in an elastic body, using a single boundary measurement on an external boundary. We discuss the identifiability questions on shape reconstruction, presenting counterexamples for Robin boundary conditions or with additional unknown Lamé parameters. Using the method of fundamental solutions (MFS) we adapt a method in...

Textile wastewater is polluted by inorganic/organic substances, polymers, dyes, and microfibers (MFs), which are microplastics (MPs) natural fibers. This work aimed at the preliminary investigation of MFs MPs in textile industrial wastewater, evaluating removal efficiency an on-site treatment plant (WWTP). Ten samples inflows outflows WWTP a company (applying physic-chemical process) have been ...