Background: Meningiomas are the most common benign central nervous system tumors.However, a sizeable fraction recurs, irrespective of histological grade.No molecular marker is available for prediction of recurrence in these tumors.Materials and Methods: We analyzed recurrent meningiomas with paired welding mirror with magnet parent and recurrent tu
Prediction of Tensile Strain Capacity for X52 Steel Pipeline Materials Using the Extended Finite Element Method
Strain-based design (SBD) plays an important role in pipeline design and assessment of pipelines subjected to geo-hazards.Under such hazards, a pipe 173rd airborne brigade patch can be subjected to substantial plastic strains, leading to tensile failure at locations of girth weld flaws.For SBD, the finite element method (FEM) can be a reliable tool
Spatial and temporal (1963-2012) variability of ichthyofauna in the large lowland Warta River, Poland
The Warta River is a tributary of the Odra (Oder) River.It is 795.2 km long.In 1986 the large Jeziorsko dam reservoir was constructed in the 306th km of its course.In the late 1980s, the river pollution assumed its highest level and stopped increasing as the former political system collapsed and many industrial plants went bankrupt.Unified fish ele
Evaluation of Pacific white shrimp (Litopenaeus vannamei) health during a superintensive aquaculture growout using NMR-based metabolomics.
Success of the shrimp aquaculture industry requires technological advances that increase production and environmental sustainability.Indoor, superintensive, aquaculture systems are being developed that permit year-round production of farmed shrimp at high densities.These systems are intended to overcome problems of disease susceptibility and of wat
Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images
Anomaly Detection (AD) has recently become an important barricini chocolate application of hyperspectral images analysis.The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background.One way to improve the performance and runtime of these algorithms is to use Dimensionality