Although CGE models have received heavy usage, they are often criticized as being insufficiently validated. Key parameters are often not econometrically estimated, and the performance of the model as a whole is rarely checked against historical outcomes. As a consequence, questions frequently arise as to how much faith one can put in CGE results. In this paper, we employ a novel approach to the...

This paper discusses the characteristics of Birchwood gasification using the simulated results of a Computational Fluid Dynamics (CFD) model. The CFD model is developed and validated with the experimental results obtained with the fixed bed downdraft gasifier available at the University of Agder (UIA), Norway. In this work, several parameters are examined and given importance, such as producer ...

Information processing in neuronal networks relies on the precise synchronization of ensembles of neurons, coordinated by the diverse family of inhibitory interneurons. Cortical interneurons can be usefully parsed by embryonic origin, with the vast majority arising from either the caudal or medial ganglionic eminences (CGE and MGE). Here, we examine the activity of hippocampal interneurons duri...

Growing water scarcity is one of the central challenges for sustainability in China, given its burgeoning industry and huge population, especially in the arid and semi-arid inland river basin where precipitation is very limited. Industrial transformation is an important engine of economic growth, which is required to be implemented by governments at all levels in China. Economic models have gen...

This research refines computable general equilibrium (CGE) modeling for estimating business interruption losses from utilities lifeline disruptions and for estimating the reduction of losses (benefits) from mitigation. The behavioral content of CGE production functions is shown to be able to embody the adaptive behavior of lifeline utility service demand in particular and business operations in...

Structural glycobiology has traditionally been a challenging field due to a limited set of tools available to investigate the diverse and complex glycan molecules. However, we cannot ignore that glycans play critical roles in health as well as in disease, and are present in more than 50% of all proteins and on over 80% of all surface proteins. Chemoenzymatic glycoengineering (CGE) methods are a...

We show how the paradigm of learning-based testing (LBT) can be applied to automate speci cation-based black-box testing of reactive systems using term rewriting technology. A general model for a reactive system can be given by an extended Mealy automata (EMA) over an abstract data type (ADT). A nite state EMA over an ADT can be e ciently learned in polynomial time using the CGE regular inferen...

In this paper we calibrate two static computable general equilibrium (CGE) models with respectively 16 and 5,999 representative households. Aggregated and disaggregated household categories are consistently embedded in a 2000 social accounting matrix for Vietnam, mapping on a one-to-one basis to each other. Distinct differences in poverty assessments emerge when the impact of trade liberalizati...

We discuss how to avoid aggregation bias in large-scale global Computable General Equilibrium (CGE) models by reducing the need of pre-model aggregation, based on the combination of algorithmic improvements and a filtering approach which removes small transactions. Using large-scale sensitivity analysis, we show the impact of pre-aggregation and filtering on model size, model solution time and ...

This paper uses a multi-period economic-environmental CGE modelling framework to analyse the impacts of natural population change and the relaxation of migration constraints in a labour-constrained economy. Population and environmental concerns are core elements of sustainable economic development policy in the target economy of Jersey. Specifically, CGE model simulations are used to track the ...