The monitoring of surface-water quality followed by water-quality modeling and analysis are essential for generating effective strategies in surface-water-resource management. However, worldwide, particularly developing countries, studies limited due to the lack a complete reliable dataset surface-water-quality variables. In this context, several statistical machine-learning models were assesse...

In many urban areas, groundwater has been exploited neglecting to wet and dry periods owing to of surface water deficit. In this study, using the percent of normal rainfall index, 36 year (1971-2008) were studied and a drought event and a wet event were determined. The reason to choose two consecutive years is the effect of early wet period on groundwater quality. Physicochemical characteristic...

BACKGROUND With the current funding climate and need for advancements in implementation science, there is a growing demand for grantsmanship workshops to increase the quality and rigor of proposals. A group-based implementation science-focused grantsmanship workshop, the Implementation Development Workshop (IDW), is one methodology to address this need. This manuscript provides an overview of t...

BACKGROUND Clinical practice guidelines recommend objective nutritional assessments in managing chronic kidney disease (CKD) patients but were developed while referencing to a North-American population. Specific recommendations for assessing muscle mass were suggested (mid-arm circumference, MAC; corrected mid-arm muscle area, cAMA; mid-arm muscle circumference, MAMC). This study aimed to asses...

Spatial interpolation methods are widely used in various fields and have been studied by several scholars with one or a few specific sampling datasets that do not reflect the complexity of the spatial characteristics and lead to conclusions that cannot be widely applied. In this paper, three factors that affect the accuracy of interpolation have been considered, i.e., sampling density, sampling...

We present TARGIT’s Xbone memory-based analytics server and define the concept of an Inverted Data Warehouse (IDW). We demonstrate the high-performance analytics properties of this particular design, as well as its resistance to failures. Additionally, we present a large scale solution in which TARGIT Xbone and IDW are implemented incorporating Google search data. The solution is used for so-ca...

In this paper, we implement and compare the accuracy of ordinary kriging, lognormal ordinary kriging, inverse distance weighting (IDW) and splines for interpolating seasonally stable soil properties (pH, electric conductivity and organic matter) that have been demonstrated to affect yield production. The choice of the exponent value for IDW and splines as well as the number of the closest neigh...

The received signal strength (RSS) based Wi-Fi fingerprinting method is one of the most potential and easily deployed approaches for a reliable indoor positioning system. However, due to labor intensive time-consuming radio map construction process, interpolation often incorporated. To ensure interpolated robust against environmental noise RSS fluctuations, we propose two novel methods, termed ...

Precipitation data provide a crucial input for examining hydrological issues, including watershed management and mitigation of the effects floods, drought, landslides. However, they are collected frequently from scarce often insufficient network ground-based rain-gauge stations to generate continuous precipitation maps. Recently, maps derived satellite have not been sufficiently linked rain gau...