The agriculture directorate is using a modified version of the GTAP model to analyse the impact of agriculture and non-agriculture reform. This analysis is part of an overall project that analyses policy reform using a "top-down" approach that integrating a variety of modeling techniques. Global and regional analysis is carried out using general equilibrium (modified GTAP), while at the other e...

Lake depth is an important characteristic for understanding many lake processes, yet it is unknown for the vast majority of lakes globally. Our objective was to develop a model that predicts lake depth using map-derived metrics of lake and terrestrial geomorphic features. Building on previous models that use local topography to predict lake depth, we hypothesized that regional differences in to...

City of Kahramanmaras has witnessed a rapid growth in the last five decades due to its agricultural and industrial potential. Urbanization has brought great challenges to the sustainable development of cities, especially in developing countries. A modeling system that could provide regional assessments of future development and explore the potential impacts of different regional management scen...

We completed a two-step regional analysis of a coastal groundwater basin to (1) assess regional suitability for managed aquifer recharge (MAR), and (2) quantify the relative impact of MAR activities on groundwater levels and sea water intrusion. The first step comprised an analysis of surface and subsurface hydrologic properties and conditions, using a geographic information system (GIS). Surfa...

BACKGROUND The European Community has made a commitment to colorectal cancer (CRC) screening, but regional considerations may affect the design of national screening programs. We developed a decision analytic model tailored to a pilot screening program for high-risk persons in Spain with the aim of informing public policy decisions. MATERIALS AND METHODS We constructed a decision analytic Mar...

Achieving optimal program performance requires deep insight into the interaction between hardware and software. For software developers without an indepth background in computer architecture, understanding and fully utilizing modern architectures is close to impossible. Analytic loop performance modeling is a useful way to understand the relevant bottlenecks of code execution based on simple ma...

Aim of this paper is to review and compare different business process modeling techniques, reveal their capabilities and use a combination of their elements to create a model of applicable simulation solution that is easy to understand on the one hand but enables integration of innovative complex dynamics on the other hand. We develop a simulation solution proposal that is based on three layers...

Cognitive tasks are characterized by sequences of stable states, which are thought to re#ect distinct steps of neurocognitive processing. Here, we investigate a stability measure, derived from adaptive multivariate autoregressive (AMVAR) modeling of cortical "eld potentials, as an index for relating changes in large-scale neural activity to changes in cognitive state. We show that this stabilit...

Culinary systems, the practice of preparing a refined combination of ingredients that is palatable as well as socially acceptable, are examples of complex dynamical systems. They evolve over time and are affected by a large number of factors. Modeling the dynamic nature of evolution of regional cuisines may provide us a quantitative basis and exhibit underlying processes that have driven them i...

Identifying interactions among brain regions from structural magnetic-resonance images presents one of the major challenges in computational neuroanatomy. We propose a Bayesian data-mining approach to the detection of longitudinal morphological changes in the human brain. Our method uses a dynamic Bayesian network to represent evolving inter-regional dependencies. The major advantage of dynamic...