background and objective: early determination of antibacterial susceptibility increases the success of therapy, decreases unnecessary use of antibacterial agents and side-effects, and lowers the overall healthcare cost. materials and methods: a rapid colorimetric method for antibacterial susceptibility testing named qui-sensitest (inovative biotechnology organization, istanbul, turkey) was eval...

Abstract Recent advances in remote sensing techniques and computer algorithms allow accurate, abundant, high-resolution geometric information retrieval for rock mass characterization from 3D point clouds. The automatic application of the extracted local scale rockfall susceptibility assessment, where discontinuities characteristics play a major role rocky slope stability, requires step by logic...

Principles of echo shifting with a train of observations was used to perform magnetic susceptibility-weighted magnetic resonance imaging with bolus-tracking in 14 patients with spondylotic myelopathy to assess changes in perfusion parameters of the spinal cord before and after decompression surgery for cervical spondylotic myelopathy. The mean transit time (MTT), bolus arrival time (T0), and ti...

The clear need for accurate landslide susceptibility mapping has led to multiple approaches. Physical models are easily interpreted and have high predictive capabilities but rely on spatially explicit and accurate parameterization, which is commonly not possible. Statistical methods can include other factors influencing slope stability such as distance to roads, but rely on good landslide inven...

BACKGROUND Moyamoya disease is an idiopathic vascular disorder of intracranial arteries. Its susceptibility locus has been mapped to 17q25.3 in Japanese families, but the susceptibility gene is unknown. METHODOLOGY/PRINCIPAL FINDINGS Genome-wide linkage analysis in eight three-generation families with moyamoya disease revealed linkage to 17q25.3 (P<10(-4)). Fine mapping demonstrated a 1.5-Mb ...

The prediction performance of several machine learning models for regional flash flood susceptibility is characterized by variability and regionality. Four typical models, including multilayer perceptron (MLP), logistic regression (LR), support vector (SVM), random forest (RF), are proposed to carry out modeling in order investigate the rules different predicting susceptibility. original data 1...

Landslides can cause severe damage to both the environment and society, many statistical, index-based, inventory-based methods have been developed assess landslide susceptibility; however, it is still challenging choose most effective method properly identify major driving factors for specific regions. Here, we applied four machine learning algorithms, adaptive boosting (AdaBoost), gradient-boo...

literature and culture are two inseparable issues. when we talk about the culture, the literature can also appear unconsciously, because the culture is composed of thoughts, feelings and emotions and the styles and personal ways of society, which as a general rule, can appear in terms of principles and respectful rules. the literature on the other hand, discloses and transmits these concepts to...