Early accounts of the ecology of the Vermilion River Area /

This report is part of a series of reports on areas of Illinois where a public-private partnership has been formed to protect natural resources. The reports provide information on the natural and human resources of the areas as a basis for managing and improving their ecosystems. The determination of resource rich areas and development of ecosystem-based information and management programs in Illinois are the result of three processes-- the Critical Trends Assessment Program, the Conservation Congress, and the Water Resources and Land Use Priorities Task Force.

Embarras River area assessment /

"Critical Trends Assessment Program."--Cover.

Headwaters area assessment /

"Critical Trends Assessment Program."--Cover.

La Moine River area assessment.

"The La Moine River Area Assessment, part of a series of statewide regional assessments, examines approximately 1,855 square miles in west-central Illinois. The report provides information on the natural and human resources of the area as a basis for managing and improving its ecosystem. The development of ecosystem-based information and management programs in Illinois are the result of three processes -- the Critical Trends Assessment Program, Conservation Congress, and Water Resources and Land Use Priorities Task Force."--P. iii, v. 2. Information and management programs in Illinois are the result of three processes -- the Critical Trends Assessment Program, the Conservation Congress, and the Water Resources and Land Use Priorities Task Force."--P. iii, v. 2.

Kinkaid area assessment /

Kinkaid Creek has its headwaters in the northwestern portion of Jackson County and flows southeast until it meets the Big Muddy near Grimsby. Kinkaid Lake, formed when Kinkaid Creek was impounded about 30 years ago, is located in Jackson County. The report provides information on the natural and human resources of the area as a basis for managing and improving its ecosystems. The development of ecosystems-based information and management programs in Illinois are the result of three processes-- the Critical Trends Assessment Program, Conservation Congress, and Water Resources and Land Use Priorities Task Force.

Mackinaw River area assessment.

"The Mackinaw River Area Assessment examines an area situated along the Mackinaw River in the central part of Illinois. Because significant natural community and species diversity is found in the area, it has been designated a state Resource Rich Area. This report is part of a series of reports on Illinois Resource Rich Areas where a public-private partnership has been formed. These assessments provide information on the natural and human resources of the areas as a basis for managing and improving their ecosystems. The determination of resource rich areas and development of ecosystem-based information and management programs in Illinois are the result of three processes -- the Critical Trends Assessment Program, the Conservation Congress, and the Water Resources and Land Use Priorities Task Force."--P. iii, v.1.

Mississippi Western Five area assessment /

The Mississippi Western Five Area Assessment, part of a series of statewide regional assessments, examines 1,630 square miles, falling within portions of seven Illinois counties in western Illinois-- Henderson, Henry, Knox, Mercer, Warren, as well as very small parts of Hancock and Rock Island counties and also falls within the physiographic region called Galesburg Till Plain. The report provides information on the natural and human resources of the area as a basis for managing and improving its ecosystems. The development of ecosystem-based information and management programs in Illinois are the result of three processes-- the Critical Trends Assessment Program, Conservation Congress, and Water Resources and Land Use Priorities Task Force.

Design concept evaluation based on rough number and information entropy theory

Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

Natural Language Generation enhances human decision-making with uncertain information.

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different informa- tion presentations for uncertain data and, for the first time, measure their effects on human decision-making. We show that the use of Natural Language Genera- tion (NLG) improves decision-making un- der uncertainty, compared to state-of-the- art graphical-based representation meth- ods. In a task-based study with 442 adults, we found that presentations using NLG lead to 24% better decision-making on av- erage than the graphical presentations, and to 44% better decision-making when NLG is combined with graphics. We also show that women achieve significantly better re- sults when presented with NLG output (an 87% increase on average compared to graphical presentations).

Collection-Level Subject Access in Aggregations of Digital Collections: Metadata Application and Use

Problems in subject access to information organization systems have been under investigation for a long time. Focusing on item-level information discovery and access, researchers have identified a range of subject access problems, including quality and application of metadata, as well as the complexity of user knowledge required for successful subject exploration. While aggregations of digital collections built in the United States and abroad generate collection-level metadata of various levels of granularity and richness, no research has yet focused on the role of collection-level metadata in user interaction with these aggregations. This dissertation research sought to bridge this gap by answering the question “How does collection-level metadata mediate scholarly subject access to aggregated digital collections?” This goal was achieved using three research methods: • in-depth comparative content analysis of collection-level metadata in three large-scale aggregations of cultural heritage digital collections: Opening History, American Memory, and The European Library • transaction log analysis of user interactions, with Opening History, and • interview and observation data on academic historians interacting with two aggregations: Opening History and American Memory. It was found that subject-based resource discovery is significantly influenced by collection-level metadata richness. The richness includes such components as: 1) describing collection’s subject matter with mutually-complementary values in different metadata fields, and 2) a variety of collection properties/characteristics encoded in the free-text Description field, including types and genres of objects in a digital collection, as well as topical, geographic and temporal coverage are the most consistently represented collection characteristics in free-text Description fields. Analysis of user interactions with aggregations of digital collections yields a number of interesting findings. Item-level user interactions were found to occur more often than collection-level interactions. Collection browse is initiated more often than search, while subject browse (topical and geographic) is used most often. Majority of collection search queries fall within FRBR Group 3 categories: object, concept, and place. Significantly more object, concept, and corporate body searches and less individual person, event and class of persons searches were observed in collection searches than in item searches. While collection search is most often satisfied by Description and/or Subjects collection metadata fields, it would not retrieve a significant proportion of collection records without controlled-vocabulary subject metadata (Temporal Coverage, Geographic Coverage, Subjects, and Objects), and free-text metadata (the Description field). Observation data shows that collection metadata records in Opening History and American Memory aggregations are often viewed. Transaction log data show a high level of engagement with collection metadata records in Opening History, with the total page views for collections more than 4 times greater than item page views. Scholars observed viewing collection records valued descriptive information on provenance, collection size, types of objects, subjects, geographic coverage, and temporal coverage information. They also considered the structured display of collection metadata in Opening History more useful than the alternative approach taken by other aggregations, such as American Memory, which displays only the free-text Description field to the end-user. The results extend the understanding of the value of collection-level subject metadata, particularly free-text metadata, for the scholarly users of aggregations of digital collections. The analysis of the collection metadata created by three large-scale aggregations provides a better understanding of collection-level metadata application patterns and suggests best practices. This dissertation is also the first empirical research contribution to test the FRBR model as a conceptual and analytic framework for studying collection-level subject access.

POSTDATA – Towards publishing European poetry as linked open data

POSTDATA is a 5 year's European Research Council (ERC) Starting Grant Project that started in May 2016 and is hosted by the Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain. The context of the project is the corpora of European Poetry (EP), with a special focus on poetic materials from different languages and literary traditions. POSTDATA aims to offer a standardized model in the philological field and a metadata application profile (MAP) for EP in order to build a common classification of all these poetic materials. The information of Spanish, Italian and French repertoires will be published in the Linked Open Data (LOD) ecosystem. Later we expect to extend the model to include additional corpora. There are a number of Web Based Information Systems in Europe with repertoires of poems available to human consumption but not in an appropriate condition to be accessible and reusable by the Semantic Web. These systems are not interoperable; they are in fact locked in their databases and proprietary software, not suitable to be linked in the Semantic Web. A way to make this data interoperable is to develop a MAP in order to be able to publish this data available in the LOD ecosystem, and also to publish new data that will be created and modeled based on this MAP. To create a common data model for EP is not simple since the existent data models are based on conceptualizations and terminology belonging to their own poetical traditions and each tradition has developed an idiosyncratic analytical terminology in a different and independent way for years. The result of this uncoordinated evolution is a set of varied terminologies to explain analogous metrical phenomena through the different poetic systems whose correspondences have been hardly studied – see examples in González-Blanco & Rodríguez (2014a and b). This work has to be done by domain experts before the modeling actually starts. On the other hand, the development of a MAP is a complex task though it is imperative to follow a method for this development. The last years Curado Malta & Baptista (2012, 2013a, 2013b) have been studying the development of MAP's in a Design Science Research (DSR) methodological process in order to define a method for the development of MAPs (see Curado Malta (2014)). The output of this DSR process was a first version of a method for the development of Metadata Application Profiles (Me4MAP) (paper to be published). The DSR process is now in the validation phase of the Relevance Cycle to validate Me4MAP. The development of this MAP for poetry will follow the guidelines of Me4MAP and this development will be used to do the validation of Me4MAP. The final goal of the POSTDATA project is: i) to be able to publish all the data locked in the WIS, in LOD, where any agent interested will be able to build applications over the data in order to serve final users; ii) to build a Web platform where: a) researchers, students and other final users interested in EP will be able to access poems (and their analyses) of all databases; b) researchers, students and other final users will be able to upload poems, the digitalized images of manuscripts, and fill in the information concerning the analysis of the poem, collaboratively contributing to a LOD dataset of poetry.

Role of financial and other information in trade credit decisions in SMEs: An international study

Trade credit is an important source of finance for SMEs and this study investigates the use of the financial statements and other information in making trade credit decisions in smaller entities in Finland, the UK, USA and South Africa. The study adds to the literature by examining the information needs of unincorporated entities as a basis for making comparisons with small, unlisted companies. In-depth, semi-structured interviews in each country were used to collect data from the owner-managers of SMEs and from credit rating agencies and credit insurers. The findings provide insights into similarities and differences between countries and between developed and developing economies. The evidence suggests that there are three main influences on the trade credit decision: formal and report-based information, soft information relating to social capital and contingency factors. The latter dictate the extent to which hard/formal information versus soft/informal information is used.

Hibridizando o ensino de inglês na Escola de Aprendizes- Marinheiros do Espírito Santo

Esta pesquisa teve por objetivo avaliar o desempenho em inglês como L2 de alunos submetidos a atividades em uma abordagem híbrida com o uso de ferramentas da internet na Escola de Aprendizes-Marinheiros do Espírito Santo. Quarenta alunos de duas turmas intactas foram divididos em dois grupos, o experimental (ensino tradicional + ambiente virtual) e o controle (ensino tradicional apenas). O referencial teórico revisou a literatura sobre a abordagem de ensino de línguas estrangeiras baseada em tarefas, metodologias híbridas de ensino de L2, multiletramentos e novas tecnologias. A metodologia de pesquisa usada foi mista com dados qualitativos e quantitativos. O estudo avaliou o impacto de atividades on-line na aprendizagem de L2 e no desenvolvimento da autonomia e do letramento digital. Três tarefas usando variados sítios da internet foram administradas ao grupo experimental, seguidas de um questionário para cada uma, usado para a avaliação qualitativa. A análise quantitativa foi feita por meio de pré e pós-testes analisados estatisticamente. Para esta pesquisa-ação, foram utilizados questionários, entrevistas semiestruturadas e o diário da professora-pesquisadora como instrumentos de coleta de dados. De forma geral, os resultados não mostraram ganhos estatisticamente significativos no tratamento, porém a análise qualitativa das impressões dos alunos-participantes sobre as tarefas realizadas revelou que a abordagem híbrida de ensino de L2 pode ajudar os alunos a desenvolver a autonomia, motivação, um maior contato com a língua-alvo e o letramento digital.

Tecnologias e metodologias na ensinagem de inglês no século XXI : elaboração e análise de webquests

Este trabalho tem como objetivo geral apresentar mecanismos de análise e validação de propostas de material didático na forma de Webquests e, com base nesses mecanismos, elaborar e validar três propostas de material didático em forma de WebQuests criticamente situados para a ensinagem de inglês como língua adicional. As WebQuests elaboradas visam priorizar o desenvolvimento do letramento digital crítico e da competência comunicativa em inglês como língua adicional do aprendiz. A WebQuest se insere na perspectiva de uma metodologia que tem esse mesmo nome e consiste na proposta de uma pesquisa orientada e organizada em etapas em que toda ou grande parte do conteúdo a ser acessado e necessário para a realização da(s) tarefa(s) encontra-se disponível online (DODGE, 1995). A metodologia deste estudo é de cunho qualitativo e também se insere na perspectiva da metodologia de desenvolvimento. O design metodológico dessa investigação foi organizado em três etapas, quais sejam, a análise de necessidades, a elaboração de três WebQuests e a análise das WebQuests elaboradas a partir de uma rubrica. A revisão de literatura, que constituiu parte da análise de necessidades, sugere que as demandas do século XXI exigem maior atenção e investimento para o desenvolvimento de letramentos múltiplos e críticos, de competências comunicativas e interacionais e de formação de cidadania. A análise de WebQuests disponíveis para ensinagem de inglês no principal sítio brasileiro de WebQuests, que compôs a segunda parte da análise de necessidades desse estudo, evidenciou a escassez de WebQuests que abordam de forma significativa tanto as questões do letramento digital crítico quanto os aspectos da competência comunicativa na língua adicional do indivíduo. A análise de necessidades como um todo forneceu subsídios relevantes para o processo de elaboração das WebQuests propostas neste estudo, que também se embasou nas diretrizes e princípios do modelo WebQuest e em grande parte do seu embasamento teórico. Como fase final deste estudo, as três WebQuests elaboradas foram submetidas à validação a partir de uma rubrica criada especialmente para esse propósito. Os resultados das análises de validação das três WebQuests elaboradas sugerem que a proposta desses materiais é válida sob o ponto de vista teórico, pois mostram que as ferramentas criadas vão ao encontro da proposta do modelo WebQuests de Dodge (1995, 2001) e das recomendações de qualidade sugeridas por Bottentuit Junior e Coutinho (2008a, 2012), bem como estão ancoradas na teoria sócio-construtivista e do ensino situado e nos princípios metodológicos da abordagem de ensino baseada em tarefas e da abordagem de ensino de conteúdos diversos por meio da língua (CLIL). Concluímos que as três WebQuests são materiais de ensinagem de inglês que fogem do enfoque tradicional conteudista historicamente voltado para o ensino de vocabulário e gramática na língua-alvo, extrapolando os objetivos linguísticos para alcançar também objetivos sociais e culturais da ensinagem de inglês como língua adicional, na medida em que se trabalha paralelamente (e intencionalmente, por entender que ambos se complementam) o desenvolvimento da competência comunicativa e do letramento digital crítico do indivíduo, contribuindo, assim, para a sua formação cidadã e colaborando para a “inclusão” do aprendiz no mundo social e digital.

Efficient aggregate computations in large-scale dense WSN

We focus on large-scale and dense deeply embedded systems where, due to the large amount of information generated by all nodes, even simple aggregate computations such as the minimum value (MIN) of the sensor readings become notoriously expensive to obtain. Recent research has exploited a dominance-based medium access control(MAC) protocol, the CAN bus, for computing aggregated quantities in wired systems. For example, MIN can be computed efficiently and an interpolation function which approximates sensor data in an area can be obtained efficiently as well. Dominance-based MAC protocols have recently been proposed for wireless channels and these protocols can be expected to be used for achieving highly scalable aggregate computations in wireless systems. But no experimental demonstration is currently available in the research literature. In this paper, we demonstrate that highly scalable aggregate computations in wireless networks are possible. We do so by (i) building a new wireless hardware platform with appropriate characteristics for making dominance-based MAC protocols efficient, (ii) implementing dominance-based MAC protocols on this platform, (iii) implementing distributed algorithms for aggregate computations (MIN, MAX, Interpolation) using the new implementation of the dominance-based MAC protocol and (iv) performing experiments to prove that such highly scalable aggregate computations in wireless networks are possible.