The aim of the present research is to determine the effects of financial information transparency and composition of board of directors on forecast accuracy of corporate earnings in companies. A corporation's key for success is hidden in its optimal direction. So it can be claimed that the secret of the eternal reputation of popular corporations lies in their efficient board of directors. One o...

AIMS To compare the estimates and projections of type 2 diabetes mellitus (T2DM) prevalence in Saudi Arabia from a validated Markov model against other modelling estimates, such as those produced by the International Diabetes Federation (IDF) Diabetes Atlas and the Global Burden of Disease (GBD) project. METHODS A discrete-state Markov model was developed and validated that integrates data on...

In this contribution we show the description, implementation and operation of an Operational Air Quality Forecasting System for industrial plants, urban and regional areas. The system is called OPANA (OPerational Atmospheric Numerical model for urban and regional Areas) and is the evolution and result of more than 10 years of research on sophisticated state-of-the-art numerical air quality mode...

Solid waste management is arguably one of the most important municipal services provided by government1. Given the rapid socio-economic changes that are projected to take place in the UK2 it is important that we plan our future waste management capacity to ensure the continuance of this valuable service. The Solid Waste Infrastructure Management System (SWIMS) model was designed to model the cu...

This thesis descnbes the research and development into the intelligent tutoring system called JASMINE (JAVA Adaptive Student Modelling In a NLP Environment). JASMINE is designed to address the ideas of adaptive and responsive, presentation and remediation in tutonng. Remediation is indicated when the confidence level of a given fragment of knowledge falls below a set mastery level. As a result,...

This paper is concerned with modelling time series by single hidden layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using simple existing techniques. The problem of selecting the number of hidden units is solved by sequentially applying Lagrange multiplier type tests, with the aim of avoiding t...

Within this paper the ability of the VARLEACH model to simulate ®eld results is presented. The evaluation was carried out in the framework of a European modelling validation exercise, adopting a standardised modelling protocol. Simulations were performed with and without a calibrated dataset as identi®ed by independent model users. Finally a simulation with a consensus parameter set was made. T...

Many species are shifting their distributions due to climate change and to increasing international trade that allows dispersal of individuals across the globe. In the case of agricultural pests, such range shifts may heavily impact agriculture. Species distribution modelling may help to predict potential changes in pest distributions. However, these modelling strategies are subject to large un...

Abstract Purpose-The purpose of this paper is to review a sample of the literature relating to Interpretive Structural Modelling (ISM) and its deployment for modelling purposes in the area of supply chain management (SCM). Design/methodology/approach- The literature is examined from the three perspectives. First, concept of ISM and examines ISM as modelling technique. Second, use of ISM by ...

A potential threat of pollution hydrolithosphere with petroleum and its products due to accidental technological leaks on a certain industrial object has been analyzed. The author's method mathematical modelling is described that allows perform an adequate dynamic lens in aquifer. Execution the resulting model forecast behavior conditions real geological hydro-geological cross-section.