In this paper, simulations with the Soil Water Atmosphere Plant (SWAP) model are performed to quantify the spatial variability of both potential and actual evapotranspiration (ET), and soil moisture content (SMC) caused by topography-induced spatial wind and radiation differences. To obtain the spatially distributed ET/SMC patterns, the field scale SWAP model is applied in a distributed way for...

BACKGROUND In epidemiological studies, small-scale spatial variation in air quality is estimated using land-use regression (LUR) and dispersion models. An important issue of exposure modeling is the predictive performance of the model at unmeasured locations. OBJECTIVE In this study, we aimed to evaluate the performance of two LUR models (large area and city specific) and a dispersion model i...

in addition to graft clarity, an acceptable refractive error is essential to consider a corneal transplant successful. the most common complication of penetrating keratoplasty (pk) is postkeratoplasty astigmatism which can result in decreased visual acuity, anisometropia, and mono-ocular diplopia. these complications can cause patient dissatisfaction, in spite of a successful transplant. intrao...

patients and methods the current methodological study went through three consecutive phases. in the first phase, the concept of sexual satisfaction was defined and analyzed by the hybrid model approach. in the second phase, an item pool was generated by the findings of the first phase. finally, the psychometric properties of the scale were evaluated in the third phase. all data analyses were pe...

Given the significance and complex nature of soil organic carbon in the context of the global carbon cycle, the need exists for more accurate and economically feasible means of soil organic carbon analysis and its underlying spatial variation at regional scale. The overarching goal of this study was to assess both the spatial and temporal variability of soil organic carbon within a subtropical ...

Existing methods on facial expression recognition (FER) are mainly trained in the setting when multi-class data is available. However, to detect alien expressions that absent during training, this type of cannot work. To address problem, we develop a Hierarchical Spatial One Class Facial Expression Recognition Network (HS-OCFER) which can construct decision boundary given class (called normal c...

Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and high-throughput screening of imaging data. Such data increasingly become available in the clinical and research environments with an ever increasing spatial resolution. In this text we exhaustively analyze the state-of-the-art in 3-D biomedical texture analysis to identify the specific needs o...