977 resultados para Knowledge creating
Resumo:
La finalitat de la recerca, concebuda com a recerca aplicada ha consistit en confegir un manual d’història de Catalunya (Catalunya+suma) especialment destinat a la immigració. El treball havia de contextualizar aspectes generals d’història política, social i cultural (endògenes), amb les aportacions, ètniques i culturals (exògenes) rebudes a Catalunya al llarg del temps i que han configurat al capdavall la societat catalana, entesa com a formació cultural i socio-política, les variables de la qual han estat en contínua coevolució. Per tant tractar la dialèctica de com, en un període de temps, les aportacions exògenes és converteixen en endògenes, i sempre en una perspectiva temporal i històrica, ha estat l’objectiu del treball. La recerca bibliogràfica i la transposició didàctica han estat les principals components metodològiques. S’han tingut especialment en compte les aportacions de la historiografia contemporània, tot i que s’ha fet un esforç per integrar coneixement generat dels del punt de vista de l’arqueologia i l’antropologia, història de l’art, sociologia, etc. Pel que fa a la recerca didàctica el tret més important ha estat, precisament, el procés de transposició didàctica destinat a convertir el saber disciplinar en saber comprensible. El projecte “Multiculturalitat i interculturalitat en la Història de Catalunya” ha generat un estudi històric i didàctic de síntesi sobre història del país que es concreta en el manual “Catalunya+Suma”. Es tracta d’un manual d‘història de Catalunya dirigit a un horitzó d’ampli espectre i de manera molt especial als immigrants. Cal destacar també que el treball te un caràcter inicial i iniciàtic i que te possibilitats de desenvolupament posterior a partir de l’elaboració de materials didàctics i guies patrimonials expressament adreçada a la immigració i entorns afins. El manual “Catalunya+suma" vol incidir, prioritàriament en la formació inicial i permanent de la immigració, i en els espais formals, i no formals, d’ensenyament i aprenentatge.
Resumo:
Advances in neuroscience research over the last few decades have increased our understanding of how individual neurons acquire their specific properties and assemble into complex circuits, and how these circuits are affected in disease. One of the important motives driving neuroscience research is the development of new scientific techniques and interdisciplinary cooperation. Compared to developed countries, many countries on the African continent are confronted with poor facilities, lack of funding or career development programs for neuroscientists, all of which deter young scientists from taking up neuroscience as a career choice. This article highlights some steps that are being taken to promote neuroscience education and research in Africa.
Resumo:
The pace of development of new healthcare technologies and related knowledge is very fast. Implementation of high quality evidence-based knowledge is thus mandatory to warrant an effective healthcare system and patient safety. However, even though only a small fraction of the approximate 2500 scientific publication indexed daily in Medline is actually useful to clinical practice, the amountof the new information is much too large to allow busy healthcare professionals to stay aware of possibly important evidence-based information.
Resumo:
The purpose of this study was to assess the knowledge and attitude of health care professionals regarding their use of universal precaution measures at a public emergency service. The study also aimed to assess the rates of occupational accidents involving biological substances among those workers. This study was performed with 238 workers, from June to November 2006, using univariate and multivariate analysis. The chance of not adopting precaution measures was 20.7 (95% CI: 5.68 - 75.14) times greater among drivers compared to physicians. No significant association was found between adopting universal precaution measures. The occupational accident rate was 20.6% (40.8% involving sharp-edged objects). The risk of physicians having an occupational accident was 2.7(95% CI: 1.05 - 7.09) times higher than that of drivers. The fact that a staff member had adequate knowledge about universal precaution measures was insufficient to foster compatible attitudes towards reducing the risk of transmitting infectious agents and causing occupational accidents.
Resumo:
Background: To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results: To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions: We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.
Resumo:
This paper introduces Collage, a high-level IMS-LD compliant authoring tool that is specialized for CSCL (Computer-Supported Collaborative Learning). Nowadays CSCL is a key trend in elearning since it highlights the importance of social interactions as an essential element of learning. CSCL is an interdisciplinary domain, which demands participatory design techniques that allow teachers to get directly involved in design activities. Developing CSCL designs using LD is a difficult task for teachers since LD is a complex technical specification and modelling collaborative characteristics can be tricky. Collage helps teachers in the process of creating their own potentially effective collaborative Learning Designs by reusing and customizing patterns, according to the requirements of a particular learning situation. These patterns, called Collaborative Learning Flow Patterns (CLFPs), represent best practices that are repetitively used by practitioners when structuring the flow of (collaborative) learning activities. An example of an LD that can be created using Collage is illustrated in the paper. Preliminary evaluation results show that teachers, with experience in CL but without LD knowledge, can successfully design real collaborative learning experiences using Collage.
Resumo:
The increasing volume of data describing humandisease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the@neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the system’s architecture is generic enough that it could be adapted to the treatment of other diseases.Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers cliniciansthe tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medicalresearchers gain access to a critical mass of aneurysm related data due to the system’s ability to federate distributed informationsources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access andwork on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand forperforming computationally intensive simulations for treatment planning and research.
Resumo:
This manuscript reports on a project to examine the feasibility of extensive radio frequency identification (RFID) tagging to determine product provenance in the meat production industry. The investigators examined existing technologies and meat production processes as well as emerging technologies in RFID tagging to assess the potential of RFID technologies for provenance assurance. While RFID technologies hold tremendous promise for traceability, the current state of the technology and production process creates challenges for effectively creating full traceability. However, RFID holds tremendous potential for improving processing throughput, which will help make RFIDbased traceability more attractive for adoption by meat processors.
Resumo:
Although both are fundamental terms in the humanities and social sciences, discourse and knowledge have seldom been explicitly related, and even less so in critical discourse studies. After a brief summary of what we know about these relationships in linguistics, psychology, epistemology and the social sciences, with special emphasis on the role of knowledge in the formation of mental models as a basis for discourse, I examine in more detail how a critical study of discourse and knowledge may be articulated in critical discourse studies. Thus, several areas of critical epistemic discourse analysis are identified, and then applied in a study of Tony Blair’s Iraq speech on March 18, 2003, in which he sought to legitimatize his decision to go to war in Iraq with George Bush. The analysis shows the various modes of how knowledge is managed and manipulated of all levels of discourse of this speech.
Resumo:
The objective of this study was to identify vulnerability to tuberculosis (TB) related to knowledge about the disease among 76 nursing students and professionals. A quantitative descriptive study was conducted using a closed questionnaire for the collection of data regarding transmission, preventive and biosafety measures, diagnosis, and prejudice regarding the disease. The SAS software version 9.1.3 was used for data analysis, with the level of significance set at 5% (p < 0.05). Nursing students and professionals showed a vulnerability to TB related to knowledge about transmission, preventive and biosafety measures, and diagnosis of the disease. With respect to transmission, vulnerability was higher among nursing professionals. The results indicate the need for investment by healthcare institutions surrounding this topic in view of the important role of nursing in the establishment of strategies for prevention and control of the disease.
Global connexity and circulation of knowledge. Aspects of Anthropology of Knowledge in Latin America
Resumo:
Abstract Since its creation, the Internet has permeated our daily life. The web is omnipresent for communication, research and organization. This exploitation has resulted in the rapid development of the Internet. Nowadays, the Internet is the biggest container of resources. Information databases such as Wikipedia, Dmoz and the open data available on the net are a great informational potentiality for mankind. The easy and free web access is one of the major feature characterizing the Internet culture. Ten years earlier, the web was completely dominated by English. Today, the web community is no longer only English speaking but it is becoming a genuinely multilingual community. The availability of content is intertwined with the availability of logical organizations (ontologies) for which multilinguality plays a fundamental role. In this work we introduce a very high-level logical organization fully based on semiotic assumptions. We thus present the theoretical foundations as well as the ontology itself, named Linguistic Meta-Model. The most important feature of Linguistic Meta-Model is its ability to support the representation of different knowledge sources developed according to different underlying semiotic theories. This is possible because mast knowledge representation schemata, either formal or informal, can be put into the context of the so-called semiotic triangle. In order to show the main characteristics of Linguistic Meta-Model from a practical paint of view, we developed VIKI (Virtual Intelligence for Knowledge Induction). VIKI is a work-in-progress system aiming at exploiting the Linguistic Meta-Model structure for knowledge expansion. It is a modular system in which each module accomplishes a natural language processing task, from terminology extraction to knowledge retrieval. VIKI is a supporting system to Linguistic Meta-Model and its main task is to give some empirical evidence regarding the use of Linguistic Meta-Model without claiming to be thorough.
Resumo:
Using a sample of patients with coronary artery disease, this methodological study aimed to conduct a cross-cultural adaptation and validation of a questionnaire on knowledge of cardiovascular risk factors (Q-FARCS), lifestyle changes, and treatment adherence for use in Brazil. The questionnaire has three scales: general knowledge of risk factors (RFs); specific knowledge of these RFs; and lifestyle changes achieved. Cross-cultural adaptation included translation, synthesis, back-translation, expert committee review, and pretesting. Face and content validity, reliability, and construct validity were measured. Cronbach’s alpha for the total sample (n = 240) was 0.75. Assessment of psychometric properties revealed adequate face and content validity, and the construct revealed seven components. It was concluded that the Brazilian version of Q-FARCS had adequate reliability and validity for the assessment of knowledge of cardiovascular RFs.
Resumo:
We present a cross-sectional study that aims to describe the sociodemographic and clinical conditions of individuals with diabetes mellitus and to analyze their knowledge of treatment five years after the end of an educational program in which they took part. In 2010, 40 individuals who had participated in a diabetes educational program for 12 months in 2005 at a primary care service were interviewed. A form was used for data collection that included their knowledge of the notion, physiopathology, and treatment of the disease; exercise; nutrition; foot care; self-monitoring of capillary blood glucose at home; hypoglycemia; chronic complications; special situations; and family support. The results showed that the volunteers incorporated the information about the notion, physiopathology, and treatment of the disease; exercise; foot care; self-monitoring; care associated with hypoglycemia; chronic complications; and special situations. In contrast, nutrition and family support require further reinforcement. It is concluded that five years after the end of the educational program, the participants kept most of the information provided.