This study evaluated the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) forecast bias in different precipitation (light rain, moderate rain, heavy rain and very heavy rain) by comparing the ground-based observations in three countries. Then the correlations between GFS precipitation forecast errors and the aerosol loading are investigated extensively to examin...

in cartilage regeneration in the temporomandibular joint, although those are somehow effective for a variety of cells 2. Despite such promising clinical successes of GFs for tissue regeneration, controversies still hound their clinical use for tissue regeneration of the oral and maxillofacial area. The biggest debate deals with the oncogenic potential of GFs. Many tumors including malignancies ...

In computer systems today, speed and responsiveness is often determined by network and storage subsystem performance. Faster, more scalable networking interfaces like Fibre Channel and Gigabit Ethernet provide the scaffolding from which higher performance implementations may be constructed, but new thinking is required about how machines interact with network-enabled storage devices. We have de...

Ozone (O3) has become the major factor for exceeding air pollution standards in many Chinese cities, especially more economically developed and densely populated regions, such as eastern China. In this study, we applied Weather Research Forecasting/Community Multiscale Air Quality (WRF/CMAQ) model to predict quality, evaluated influences of different chemical initial conditions on O3 forecasts ...

Continuously indexed Gaussian fields (GFs) is the most important ingredient in spatial statistical modelling and geo-statistics. The specification through the covariance function gives an intuitive interpretation of its properties. On the computational side, GFs are hampered with the big-n problem, since the cost of factorising dense matrices is cubic in the dimension. Although the computationa...

Continuously indexed Gaussian fields (GFs) is the most important ingredient in spatial statistical modelling and geo-statistics. The specification through the covariance function gives an intuitive interpretation of its properties. On the computational side, GFs are hampered with the big-n problem, since the cost of factorising dense matrices is cubic in the dimension. Although the computationa...

c-Kit(pos) cardiac progenitor cells (CPCs) represent a successful approach in healing the infarcted heart and rescuing its mechanical function, but electrophysiological consequences are uncertain. CPC mobilization promoted by hepatocyte growth factor (HGF) and IGF-1 improved electrogenesis in myocardial infarction (MI). We hypothesized that locally delivered CPCs supplemented with HGF + IGF-1 (...

Continuously indexed Gaussian fields (GFs) are the most important ingredient in spatial statistical modelling and geostatistics. The specification through the covariance function gives an intuitive interpretation of the field properties. On the computational side, GFs are hampered with the big n problem, since the cost of factorizing dense matrices is cubic in the dimension. Although computatio...

In this short note we discuss several perspectives on the notion of Guarded Fragments (GFs) of first-order logic first introduced by Andréka, van Benthem and Németi. We focus on computational aspects, discussing some applications of GFs together with issues like the design of effective decision methods for specific reasoning tasks and the role of GFs in explaining the general good behavior of m...

OBJECTIVE Embryo-like gingival healing properties are attributed to the gingival fibroblast (GF) and could be used as a model for other types of healing dysfunctions. Abdominal aortic aneurysm (AAA) formation is associated with elastin degradation and increase in matrix metalloproteinase (MMP)-9 activity. We aimed to validate the concept of using GF healing properties in arteries. METHODS AND...