A semantic model of selective dissemination of information for digital libraries

In this paper we present the theoretical and methodologicalfoundations for the development of a multi-agentSelective Dissemination of Information (SDI) servicemodel that applies Semantic Web technologies for specializeddigital libraries. These technologies make possibleachieving more efficient information management,improving agent–user communication processes, andfacilitating accurate access to relevant resources. Othertools used are fuzzy linguistic modelling techniques(which make possible easing the interaction betweenusers and system) and natural language processing(NLP) techniques for semiautomatic thesaurus generation.Also, RSS feeds are used as “current awareness bulletins”to generate personalized bibliographic alerts.

Improving Transition Outcomes: Capacity Building Forum: Dissemination of Promising Transition Practices

Information on the Promising Transition Practices shared at the September 28, 2007 Capacity Building Forum sponsored by Improving Transition Outcomes with Iowa Vocational Rehabilitation Services.

Driver scheduling problem modelling

The Drivers Scheduling Problem (DSP) consists of selecting a set of duties for vehicle drivers, for example buses, trains, plane or boat drivers or pilots, for the transportation of passengers or goods. This is a complex problem because it involves several constraints related to labour and company rules and can also present different evaluation criteria and objectives. Being able to develop an adequate model for this problem that can represent the real problem as close as possible is an important research area.The main objective of this research work is to present new mathematical models to the DSP problem that represent all the complexity of the drivers scheduling problem, and also demonstrate that the solutions of these models can be easily implemented in real situations. This issue has been recognized by several authors and as important problem in Public Transportation. The most well-known and general formulation for the DSP is a Set Partition/Set Covering Model (SPP/SCP). However, to a large extend these models simplify some of the specific business aspects and issues of real problems. This makes it difficult to use these models as automatic planning systems because the schedules obtained must be modified manually to be implemented in real situations. Based on extensive passenger transportation experience in bus companies in Portugal, we propose new alternative models to formulate the DSP problem. These models are also based on Set Partitioning/Covering Models; however, they take into account the bus operator issues and the perspective opinions and environment of the user.We follow the steps of the Operations Research Methodology which consist of: Identify the Problem; Understand the System; Formulate a Mathematical Model; Verify the Model; Select the Best Alternative; Present the Results of theAnalysis and Implement and Evaluate. All the processes are done with close participation and involvement of the final users from different transportation companies. The planner s opinion and main criticisms are used to improve the proposed model in a continuous enrichment process. The final objective is to have a model that can be incorporated into an information system to be used as an automatic tool to produce driver schedules. Therefore, the criteria for evaluating the models is the capacity to generate real and useful schedules that can be implemented without many manual adjustments or modifications. We have considered the following as measures of the quality of the model: simplicity, solution quality and applicability. We tested the alternative models with a set of real data obtained from several different transportation companies and analyzed the optimal schedules obtained with respect to the applicability of the solution to the real situation. To do this, the schedules were analyzed by the planners to determine their quality and applicability. The main result of this work is the proposition of new mathematical models for the DSP that better represent the realities of the passenger transportation operators and lead to better schedules that can be implemented directly in real situations.

Demand for pharmaceutical drugs: A choice modelling experiment

Despite the importance of supplier inducement and brand loyalty inthe drug purchasing process, little empirical evidence is to be foundwith regard to the influence that these factors exert on patients decisions. Under the new scenario of easier access to information,patients are becoming more demanding and even go as far asquestioning their physicians prescription. Furthermore, newregulation also encourages patients to adopt an active role in thedecision between brand-name and generic drugs. Using a statedpreference model based on a choice survey, I have found evidenceof how significant physicians prescription and pharmacists recommendation become throughout the drug purchase process and,to what extent, brand loyalty influences the final decision. Asfar as we are aware, this paper is the first to explicitlytake consumers preferences into account rather than focusingon the behavior of health professionals.

Building digital libraries in developing countries

Digital libraries (DL) are seen as the hope for developing countries in their struggle to access scientific and academic publications. However, building such libraries in developing countries is a real challenge. These countries usually face several difficulties, such as low computer and Internet penetration rates, poor ICT infrastructure, lack of qualified human resources, lack of financial resources, etc. Thus, it is imperative finding alternative mechanisms of building DL that best fit the specificities of these countries. This paper presents the process used for building a digital library at the University Jean Piaget of Cape Verde, created in a context of scarce access to printed materials and serious difficulties in accessing ICT resources. This paper also presents the challenges, the solutions and the adopted methodological framework.

Waste Reduction, Construction and Demolition Debris: Guide for Building, Construction and Environmental Professionals, Revised November 2008

This document is intended to lay the foundation for resource reduction strategies in new construction, renovation and demolition. If you have an innovative idea or information that you believe should be included in future updates of this manual please email Shelly Codner at scodner@region12cog.org or Jan Loyson at Jan.Loyson@Iowalifechanging.com. Throughout this manual, we use the term “waste reduction” to define waste management initiatives that will result in less waste going to the landfill. In accordance with the waste management hierarchy these practices include reducing (waste prevention), reusing (deconstruction and salvage), recycling and renewing (making old things new again) - in that order. This manual will explain what these practices are and how to incorporate them into your projects.

Which is the optimal sampling strategy for habitat suitability modelling

Designing an efficient sampling strategy is of crucial importance for habitat suitability modelling. This paper compares four such strategies, namely, 'random', 'regular', 'proportional-stratified' and 'equal -stratified'- to investigate (1) how they affect prediction accuracy and (2) how sensitive they are to sample size. In order to compare them, a virtual species approach (Ecol. Model. 145 (2001) 111) in a real landscape, based on reliable data, was chosen. The distribution of the virtual species was sampled 300 times using each of the four strategies in four sample sizes. The sampled data were then fed into a GLM to make two types of prediction: (1) habitat suitability and (2) presence/ absence. Comparing the predictions to the known distribution of the virtual species allows model accuracy to be assessed. Habitat suitability predictions were assessed by Pearson's correlation coefficient and presence/absence predictions by Cohen's K agreement coefficient. The results show the 'regular' and 'equal-stratified' sampling strategies to be the most accurate and most robust. We propose the following characteristics to improve sample design: (1) increase sample size, (2) prefer systematic to random sampling and (3) include environmental information in the design'

Supplemental Information to the August 2008 Education Task Force Report, August 2008

The Rebuild Iowa Education Task Force is composed of Iowans with experience and expertise related to the impact of the tornadoes, storms, and floods of 2008 on the educational system in Iowa. The massive damage greatly impacted educational facilities and enrollment, resulting in thousands of displaced students and significant long-term rebuilding needs. In addition, the education system is a “community center,” and in many ways acts as a first responder to Iowans experiencing the disasters. It is important to also recognize this role and the need for “non-educational” (and often non-quantifiable) supports as a part of the overall recovery effort. There are a few parts of the state that sustained significant structural and other damage as a result of the disasters. However, many school districts and educational institutions throughout the state experienced damage that resulted in re-allocating building usage, enrollment issues (because of housing and relocation issues in the community), or use of school facilities to assist in the recovery efforts (by housing displaced community agencies and providing temporary shelter for displaced Iowans). At this time, damage estimates are only estimates and numbers are revised often. Estimates of damage are being developed by multiple agencies, including FEMA, the Iowa Department of Education, insurance companies, and schools themselves, since there are many different types of damage to be assessed and repaired. In addition to structural damage, educational institutions and communities are trying to find ways to quantify sometimes unquantifiable data, such as future revenue capabilities, population declines, and impact on mental health in the long-term. The data provided in this report is preliminary and as up to date as possible; information is updated on a regular basis as assessments continue and damage estimates are finalized. Supplemental Information to the August 2008 Education Task Force Report

State of Iowa Historical Building : Built in 1987, 2001.

Information brochure on the State of Iowa Historical Building

The Impact of Digitization on the Management of Administrative Procedures : The Case of Building Permits

Information and Communication Technologies provide public administrations new ways to meet their users' needs. At the same time, e-Government practices support the public sector in improving the quality of service provision and of its internal operations. In this paper we discuss the impacts of digitization on the management of administrative procedures. The theoretical framework and the research model that we will use in this study help us tackle the question of how digitization transforms administrative procedures as, for example, in terms of time and roles. The multiplicity of institutions involved in issuing building permits led us to consider this administrative procedure as a very interesting case study. An online survey was first addressed to Swiss civil servants to explore the field, and here we present some of its results. We are currently undertaking an in-depth case study of the building permit procedures in three Swiss Cantons, which we will also present in this paper. We will conclude with a discussion and the future steps of this project.

Analysis, modelling and classification of geospatial data using machine learning

The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.

Five (or so) challenges for species distribution modelling

Species distribution modelling is central to both fundamental and applied research in biogeography. Despite widespread use of models, there are still important conceptual ambiguities as well as biotic and algorithmic uncertainties that need to be investigated in order to increase confidence in model results. We identify and discuss five areas of enquiry that are of high importance for species distribution modelling: (1) clarification of the niche concept; (2) improved designs for sampling data for building models; (3) improved parameterization; (4) improved model selection and predictor contribution; and (5) improved model evaluation. The challenges discussed in this essay do not preclude the need for developments of other areas of research in this field. However, they are critical for allowing the science of species distribution modelling to move forward.

Modelling diffusion of innovations in a social network

A simple model of diffusion of innovations in a social network with upgrading costs is introduced. Agents are characterized by a single real variable, their technological level. According to local information, agents decide whether to upgrade their level or not, balancing their possible benefit with the upgrading cost. A critical point where technological avalanches display a power-law behavior is also found. This critical point is characterized by a macroscopic observable that turns out to optimize technological growth in the stationary state. Analytical results supporting our findings are found for the globally coupled case.

What drives invasibility? A multi-model inference test and spatial modelling of alien plant species richness patterns in northern Portugal

Understanding and anticipating biological invasions can focus either on traits that favour species invasiveness or on features of the receiving communities, habitats or landscapes that promote their invasibility. Here, we address invasibility at the regional scale, testing whether some habitats and landscapes are more invasible than others by fitting models that relate alien plant species richness to various environmental predictors. We use a multi-model information-theoretic approach to assess invasibility by modelling spatial and ecological patterns of alien invasion in landscape mosaics and testing competing hypotheses of environmental factors that may control invasibility. Because invasibility may be mediated by particular characteristics of invasiveness, we classified alien species according to their C-S-R plant strategies. We illustrate this approach with a set of 86 alien species in Northern Portugal. We first focus on predictors influencing species richness and expressing invasibility and then evaluate whether distinct plant strategies respond to the same or different groups of environmental predictors. We confirmed climate as a primary determinant of alien invasions and as a primary environmental gradient determining landscape invasibility. The effects of secondary gradients were detected only when the area was sub-sampled according to predictions based on the primary gradient. Then, multiple predictor types influenced patterns of alien species richness, with some types (landscape composition, topography and fire regime) prevailing over others. Alien species richness responded most strongly to extreme land management regimes, suggesting that intermediate disturbance induces biotic resistance by favouring native species richness. Land-use intensification facilitated alien invasion, whereas conservation areas hosted few invaders, highlighting the importance of ecosystem stability in preventing invasions. Plants with different strategies exhibited different responses to environmental gradients, particularly when the variations of the primary gradient were narrowed by sub-sampling. Such differential responses of plant strategies suggest using distinct control and eradication approaches for different areas and alien plant groups.

Building the future: the Brazilian university library in 2010

Information technology will affect academic activities as well as the nature of the high education sector. This sector besides the need to assimilate these technologies will need to attend the requisites of market globalization and, as consequence, all theses changes will be reflected in the university library. Prospectives impacts will affect the structure (emphasis in user services, outsourcing of several services), in the financing aspect (growing of consortia in order to reduce costs), in services (electronic reference, support to long distance education programs, intelligent agents) and in the clientele (attending the great demand por high education which implies a diversity of people).