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Solving
Kinds of Solving Terms modified by Solving Selected AbstractsSEMANTICS-ASSISTED PROBLEM SOLVING ON THE SEMANTIC GRIDCOMPUTATIONAL INTELLIGENCE, Issue 2 2005Liming Chen In this paper we propose a distributed knowledge management framework for semantics and knowledge creation, population, and reuse on the grid. Its objective is to evolve the Grid toward the Semantic Grid with the ultimate purpose of facilitating problem solving in e-Science. The framework uses ontology as the conceptual backbone and adopts the service-oriented computing paradigm for information- and knowledge-level computation. We further present a semantics-based approach to problem solving, which exploits the rich semantic information of grid resource descriptions for resource discovery, instantiation, and composition. The framework and approach has been applied to a UK e-Science project,Grid Enabled Engineering Design Search and Optimisation in Engineering (GEODISE). An ontology-enabled problem solving environment (PSE) has been developed in GEODISE to leverage the semantic content of GEODISE resources and the Semantic Grid infrastructure for engineering design. Implementation and initial experimental results are reported. [source] CORPORATE CITIZENSHIP AND URBAN PROBLEM SOLVING: THE CHANGING CIVIC ROLE OF BUSINESS LEADERS IN AMERICAN CITIESJOURNAL OF URBAN AFFAIRS, Issue 1 2010ROYCE HANSON ABSTRACT:,Our concern in this article is corporate civic elite organizations and their role in social production and urban policy in the United States. Recent urban literature has suggested that the power and influence of CEO organizations has declined and that there has been some disengagement of corporate elites from civic efforts in many urban areas. Yet while these trends and their likely consequences are generally acknowledged, relatively little empirical research has been conducted on the nature and extent of the shifts in corporate civic leadership and on how these shifts have affected the civic agendas of central cities and metropolitan regions. In this study we obtain data from 19 large metropolitan areas in order to more systematically examine shifts in corporate civic leadership and their consequences. Our results suggest that the institutional autonomy, time, and personal connections to the central cities of many CEOs have diminished and that the civic organizations though which CEOs work appear to have experienced lowered capacity for sustained action. These trends suggest that while many CEOs and their firms will continue to commit their time and their firms' slack resources to civic enterprises, the problems they address will differ from those tackled in the past. We discuss the important implications these shifts have for the future of corporate civic engagement in urban problem solving and for the practice of urban governance. [source] Clustering: An Essential Step from Diverging to ConvergingCREATIVITY AND INNOVATION MANAGEMENT, Issue 1 2007Marc Tassoul Within the context of new product development processes and the Creative Problem Solving (CPS) process, the authors have come to the view that clustering is to be seen as a separate step in the process of diverging and converging. Clustering is generally presented as part of the converging stages, and as such categorized as a selection technique, which in the authors' view does not do justice to this activity. It is about expanding knowledge, about connecting ideas, and connecting ideas to problem statements, functionalities, and values and consequences. It is about building a shared understanding, in other words about ,making sense', an essential creative activity in the development of concepts and, although different from a more freewheeling divergent phase, can be as creative and maybe even more so. Four kinds of clusterings are distinguished: object clustering, morphological clustering, functional clustering and gestalt clustering. Object clustering is mainly aimed at categorizing ideas into an overviewable set of groups of ideas. No special connections are being made, other then looking for similarities. Morphological clustering is used to split up a problem into subproblems after which the ideas generated are considered as subsolutions which can then be combined into concepts. Functional clustering is interesting when different approaches can be chosen to answer some question. It permits a more strategic choice to be made. Gestalt clustering is a more synthesis like approach, often with a more metaphoric and artistic stance. Collage is a good example of such clustering. General guidelines for clustering are: use a bottom-up process of emergence; postpone early rationalisations and verbalisations; start grouping ideas on the basis of feeling and intuition; and use metaphoric names to identify clusters. [source] Technology Forecasting: From Emotional to EmpiricalCREATIVITY AND INNOVATION MANAGEMENT, Issue 2 2001Michael S. Slocum Technology Forecasting has evolved from being a methodology based on emotional responses to one predicated on data collection. The Theory of Inventive Problem Solving (TRIZ) is a theory based on empirical data that relates technological evolution to the same stages of biological macro-evolution. This paper will explore the major emotional forecasting methods as well as discuss part of TRIZ Technology Forecasting called Maturity Mapping. The reader will briefly be introduced to eight evolutionary trends based on TRIZ. [source] A Systems Analysis Experiential Case Study: Repeatable Real-World Problem SolvingDECISION SCIENCES JOURNAL OF INNOVATIVE EDUCATION, Issue 2 2010Priscilla A. Arling First page of article [source] Solving, Estimating, and Selecting Nonlinear Dynamic Models Without the Curse of DimensionalityECONOMETRICA, Issue 2 2010Viktor Winschel We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids to overcome the curse of dimensionality for approximations. We apply sparse grids to a global polynomial approximation of the model solution, to the quadrature of integrals arising as rational expectations, and to three new nonlinear state space filters which speed up the sequential importance resampling particle filter. The posterior of the structural parameters is estimated by a new Metropolis,Hastings algorithm with mixing parallel sequences. The parallel extension improves the global maximization property of the algorithm, simplifies the parameterization for an appropriate acceptance ratio, and allows a simple implementation of the estimation on parallel computers. Finally, we provide all algorithms in the open source software JBendge for the solution and estimation of a general class of models. [source] The Relation between Observational Measures of Social Problem Solving and Familial Antisocial Behavior: Genetic and Environmental InfluencesJOURNAL OF RESEARCH ON ADOLESCENCE, Issue 4 2001Erica L. Spotts Deficits in social problem-solving skills are often associated with antisocial behavior, particularly in children's extrafamilial relationships. The current study was designed to examine this association in several new ways: the association was examined at two times in an adolescent sample within the context of the family; genetic models were used to estimate genetic and environmental effects on observational measures of problem solving and antisocial behavior and on the association between the two. The analyses were conducted as part of the Nonshared Environment in Adolescent Development project, consisting of 720 families at Time 1 (mean adolescent age: 14.5 years) and 440 families at Time 2 (mean adolescent age: 16.1 years). Genetic influence was found for antisocial behavior, but not for problem solving. The findings of shared environmental influences on these measures and their association are unusual in the behavioral genetic literature and are important in that respect. [source] Book Review: More Practical Problem Solving in HPLC.JOURNAL OF SEPARATION SCIENCE, JSS, Issue 3 2005Edited by: Stavros Kromadis. [source] Learning as Problem Design Versus Problem Solving: Making the Connection Between Cognitive Neuroscience Research and Educational PracticeMIND, BRAIN, AND EDUCATION, Issue 2 2008Jason L. Ablin ABSTRACT, How can current findings in neuroscience help educators identify particular cognitive strengths in students? In this commentary on Immordino-Yang's research regarding Nico and Brooke, I make 3 primary assertions: (a) the cognitive science community needs to develop an accessible language and mode of communicating applicable research to educators, (b) educators need proper professional development in order to understand and relate current research findings to practice in the classroom, and (c) the specific research on Nico and Brooke clearly suggests that educators need to rethink the classroom as a place not of problem solving but rather problem design in order to further understand and use the cognitive strengths of each individual student. [source] Reflections on the Program for Community Problem SolvingNATIONAL CIVIC REVIEW, Issue 2 2000Jarle Crocker First page of article [source] Problem Solving Through DesignNEW DIRECTIONS FOR TEACHING & LEARNING, Issue 95 2003Wayne A. Nelson To design is to solve problems. The author describes a model of problem solving through design that can be used to restructure courses, programs of study, or entire institutions. [source] Book review: Scenario Visualization: An Evolutionary Account of Creative Problem SolvingAMERICAN JOURNAL OF HUMAN BIOLOGY, Issue 1 2009Allison B. Kaufman No abstract is available for this article. [source] The effects of creative problem solving training on creativity, cognitive type and R&D performanceR & D MANAGEMENT, Issue 1 2002Ching, Wen Wang The effects of Creative Problem Solving (CPS) training on creativity, cognitive type, and R&D performance were investigated with 106 R&D workers of a large government,owned manufacturing company in Taiwan. Seventy,one of them volunteered to participate in the CPS training and were divided into three groups. Each group received 12 hours of CPS training and two follow,up training sessions over a one,year long period in a time,series design. The ,Circle Test of the Torrance Test of Creative Thinking', and the ,Myers,Briggs Type Indicator' were administered before and after the CPS training. R&D performance averaged over the past three years before the CPS training and one year after the pretest were obtained from the company. Results showed that participant's scores on fluency and flexibility of ideas were higher after the CPS training. There was also an increase in the number of persons being classified as extrovert or feeling type of cognition. In terms of R&D performance, the participants' number of co,authored service projects increased significantly from pretest to posttest, whereas no such change was observed among those 35 R&D workers who did not participated in the CPS. [source] Democracy as Problem Solving: Civic Capacity in Communities Across the Globe by Xavier de Souza BriggsCITY & COMMUNITY, Issue 1 2010Archon Fung No abstract is available for this article. [source] Evaluation of the Ages and Stages Questionnaires in identifying children with neurosensory disability in the Magpie Trial follow-up studyACTA PAEDIATRICA, Issue 12 2007Ly-Mee Yu Abstract Aim: To evaluate performance of the Ages and Stages Questionnaires (full ASQ), and a shortened version (short ASQ), in detecting children with severe neurosensory disability in the Magpie Trial follow-up study. Methods: All children, born to women in the Magpie Trial and selected for follow-up, with a completed full 30 items and/or short 9-items ASQ were included in this analysis. Sensitivity and specificity, corrected for verification bias, were computed to assess detection ability. Results: Of the 2046 children who completed a full ASQ, 406 (19.8%) failed the assessment, 54 of whom had confirmed neurosensory disability. Adjusted sensitivity and specificity (95% confidence intervals) were 87.4% (62.9,96.6%), and 82.3% (80.5,83.9%), respectively. Two of the five domains in the full ASQ (Fine Motor and Problem Solving) contributed little to detection ability. Sensitivity and specificity for the short ASQ were 69.2% and 95.7%, respectively. Conclusions: Sensitivity of the full ASQ for severe neurosensory disability is generally good, and does not appear to be much reduced by restricting questions to three out of the five domains. The short ASQ reported here reduced performance, although this might be improved by a different choice of questions or scoring system. [source] Parent-completed developmental screening in a Norwegian population sample: a comparison with US normative dataACTA PAEDIATRICA, Issue 11 2004H Janson Aim: To compare normative data of a Norwegian translation of the Ages and Stages Questionnaires with original US normative data. Methods: Norwegian-born mothers randomly selected from the population register completed Norwegian translations of the Ages and Stages Questionnaires, a series of 19 age-specific child development screening questionnaires each made up of 30 items in five domains: Communication, Gross Motor, Fine Motor, Problem Solving, and Personal-Social. Domain score group differences with original US normative data on 10 age-specific questionnaires (for ages 4, 8, 12, 16, 20, 24, 30, 36, 48, and 60 mo) were investigated. The Norwegian data consisted of 1341 children, varying between 82 and 176 per age interval. Results: On the whole, parents' reports of their children's development were very similar in the two data sets. Only five out of 50 mean comparisons revealed a mean difference either greater than a Cohen's d of 0.5 or greater than the smallest increment on a domain score. The variation in scores tended to be somewhat smaller in the Norwegian sample. Conclusion: It seems reasonable to expect that domain scores on the Ages and Stages Questionnaires may be interpreted in the same way in Norway and the United States, and these results may also generalize to other Western settings. These findings from a true random sample also increase the confidence in the original normative data. [source] SEMANTICS-ASSISTED PROBLEM SOLVING ON THE SEMANTIC GRIDCOMPUTATIONAL INTELLIGENCE, Issue 2 2005Liming Chen In this paper we propose a distributed knowledge management framework for semantics and knowledge creation, population, and reuse on the grid. Its objective is to evolve the Grid toward the Semantic Grid with the ultimate purpose of facilitating problem solving in e-Science. The framework uses ontology as the conceptual backbone and adopts the service-oriented computing paradigm for information- and knowledge-level computation. We further present a semantics-based approach to problem solving, which exploits the rich semantic information of grid resource descriptions for resource discovery, instantiation, and composition. The framework and approach has been applied to a UK e-Science project,Grid Enabled Engineering Design Search and Optimisation in Engineering (GEODISE). An ontology-enabled problem solving environment (PSE) has been developed in GEODISE to leverage the semantic content of GEODISE resources and the Semantic Grid infrastructure for engineering design. Implementation and initial experimental results are reported. [source] Abductive Diagnosis Using Time-Objects: Criteria for the Evaluation of SolutionsCOMPUTATIONAL INTELLIGENCE, Issue 1 2001Elpida T. Keravnou Diagnostic problem solving aims to account for, or explain, a malfunction of a system (human or other). Any plausible potential diagnostic solution must satisfy some minimum criteria relevant to the application. Often there will be several plausible solutions, and further criteria will be required to select the "best" explanation. Expert diagnosticians may employ different, complex criteria at different stages of their reasoning. These criteria may be combinations of some more primitive criteria, which therefore should be represented separately and explicitly to permit their flexible and transparent combined usage. In diagnostic reasoning there is a tight coupling between the formation of potential solutions and their evaluation. This is the essence of abductive reasoning. This article presents an abductive framework for diagnostic problem solving. Time-objects, an association of a property and an existence, are used as the representation formalism and a number of primitive, general evaluation criteria into which time has been integrated are defined. Each criterion provides an intuitive yardstick for evaluating the space of potential solutions. The criteria can be combined as appropriate for particular applications to define plausible and best explanations. The central principle is that when time is diagnostically significant, it should be modeled explicitly to enable a more accurate formulation and evaluation of diagnostic solutions. The integration of time and primitive evaluation criteria is illustrated through the Skeletal Dysplasias Diagnostician (SDD) system, a diagnostic expert system for a real-life medical domain. SDD's notions of plausible and best explanation are reviewed so as to show the difficulties in formalizing such notions. Although we illustrate our work by medical problems, it has been motivated by consideration of problems in a number of other domains (fermentation monitoring, air and ground traffic control, power distribution) and is intended to be of wide applicability. [source] A software player for providing hints in problem-based learning according to a new specificationCOMPUTER APPLICATIONS IN ENGINEERING EDUCATION, Issue 3 2009Pedro J. Muñoz-Merino Abstract The provision of hints during problem solving has been a successful strategy in the learning process. There exist several computer systems that provide hints to students during problem solving, covering some specific issues of hinting. This article presents a novel software player module for providing hints in problem-based learning. We have implemented it into the XTutor Intelligent Tutoring System using its XDOC extension mechanism and the Python programming language. This player includes some of the functionalities that are present in different state-of-the-art systems, and also other new relevant functionalities based on our own ideas and teaching experience. The article explains each feature for providing hints and it also gives a pedagogical justification or explanation. We have created an XML binding, so any combination of the model hints functionalities can be expressed as an XML instance, enabling interoperability and reusability. The implemented player tool together with the XTutor server-side XDOC processor can interpret and run XML files according to this newly defined hints specification. Finally, the article presents several running examples of use of the tool, the subjects where it is in use, and results that lead to the conclusion of the positive impact of this hints tool in the learning process based on quantitative and qualitative analysis. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 17: 272,284, 2009; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20240 [source] The development of a geospatial data Grid by integrating OGC Web services with Globus-based Grid technologyCONCURRENCY AND COMPUTATION: PRACTICE & EXPERIENCE, Issue 14 2008Liping Di Abstract Geospatial science is the science and art of acquiring, archiving, manipulating, analyzing, communicating, modeling with, and utilizing spatially explicit data for understanding physical, chemical, biological, and social systems on the Earth's surface or near the surface. In order to share distributed geospatial resources and facilitate the interoperability, the Open Geospatial Consortium (OGC), an industry,government,academia consortium, has developed a set of widely accepted Web-based interoperability standards and protocols. Grid is the technology enabling resource sharing and coordinated problem solving in dynamic, multi-institutional virtual organizations. Geospatial Grid is an extension and application of Grid technology in the geospatial discipline. This paper discusses problems associated with directly using Globus-based Grid technology in the geospatial disciplines, the needs for geospatial Grids, and the features of geospatial Grids. Then, the paper presents a research project that develops and deploys a geospatial Grid through integrating Web-based geospatial interoperability standards and technology developed by OGC with Globus-based Grid technology. The geospatial Grid technology developed by this project makes the interoperable, personalized, on-demand data access and services a reality at large geospatial data archives. Such a technology can significantly reduce problems associated with archiving, manipulating, analyzing, and utilizing large volumes of geospatial data at distributed locations. Copyright © 2008 John Wiley & Sons, Ltd. [source] The Sieve Model: An innovative process for identifying alternatives to custody evaluationsCONFLICT RESOLUTION QUARTERLY, Issue 3 2009Robert B. Silver This article reviews the development of the Sieve Model, conceived from dissatisfaction with adversarial processes that encouraged endless destructive fighting and depletion of financial and emotional family resources. Adversarial approaches discourage constructive problem solving and cooperation and are very hard on children. Rather than a piecemeal approach toward divorce, a systemic model was conceived. The Sieve Model is being implemented in the 20th Judicial Circuit of the State of Florida through differentiated case management, after a study revealed that protracted cases primarily involved disputes over children. Families are invited to use pertinent elements in an individualized fashion. Family law professionals are challenged to develop other solution-based efforts akin to mediation to assist families of divorce. The Sieve Model encourages participants to practice solving problems rather than creating them, decreasing divorce brutality and postjudgment conflicts. [source] An Eco-innovation Case Study of Domestic Dishwashing through the Application of TRIZ ToolsCREATIVITY AND INNOVATION MANAGEMENT, Issue 1 2001Elies Jones The benefits of applying a structured method such as TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch: the Russian theory of inventive problem solving) to Eco-innovation are examined through use of two problem-solving tools from TRIZ in an Eco-innovation case study. A novel problem hierarchy model has been integrated to help identify the systems and sub-systems level innovations required for Eco-innovation. The benefits and shortcomings of the TRIZ tools, and the potential contribution of the problem hierarchy model in the innovation process are discussed. [source] What is problem solving?CRIMINAL BEHAVIOUR AND MENTAL HEALTH, Issue 4 2001A review of theory, applications, research Introduction Structured training or therapy programmes designed to develop cognitive problem-solving skills are now widely used in criminal justice and mental health settings. Method This paper describes the conceptual origins and theoretical models on which such programmes are based, and provides a historical overview of their development. Theoretical formulations of problem-solving deficits have also been used to inform the design of intervention programmes, and a number of studies and evaluations of such interventions are reviewed, with particular reference to criminal and other antisocial behaviour. Discussion In recent years there has been steadily growing supportive evidence for the benefits of this approach. However, there are also several aspects of its application that require further investigation, and some of the remaining questions are identified. Copyright © 2001 Whurr Publishers Ltd. [source] POLICING CRIME AND DISORDER HOT SPOTS: A RANDOMIZED CONTROLLED TRIAL,CRIMINOLOGY, Issue 3 2008ANTHONY A. BRAGA Dealing with physical and social disorder to prevent serious crime has become a central strategy for policing. This study evaluates the effects of policing disorder, within a problem-oriented policing framework, at crime and disorder hot spots in Lowell, Massachusetts. Thirty-four hot spots were matched into 17 pairs, and one member of each pair was allocated to treatment conditions in a randomized block field experiment. The officers engaged "shallow" problem solving and implemented a strategy that more closely resembled a general policing disorder strategy rather than carefully designed problem-oriented policing responses. Nevertheless, the impact evaluation revealed significant reductions in crime and disorder calls for service, and systematic observations of social and physical disorder at the treatment places relative to the control places uncovered no evidence of significant crime displacement. A mediation analysis of the isolated and exhaustive causal mechanisms that comprised the strategy revealed that the strongest crime-prevention gains were generated by situational prevention strategies rather than by misdemeanor arrests or social service strategies. [source] PROBLEM-ORIENTED POLICING IN PRACTICE,CRIMINOLOGY AND PUBLIC POLICY, Issue 2 2005GARY CORDNER Research Summary: Interviews and surveys were used to measure the extent of problem-oriented policing (POP) by individual police officers in the San Diego Police Department. Officers tended to engage in small-scale problem solving with little formal analysis or assessment. Responses generally included enforcement plus one or two more collaborative or nontraditional initiatives. Policy Implications: Despite 15 years of national promotion and a concerted effort at implementation within the San Diego Police Department, POP as practiced by ordinary police officers fell far short of the ideal model. It may be unreasonable to expect every police officer to continuously engage in full-fledged POP. [source] Can solving of wordchains be explained by phonological skills alone?DYSLEXIA, Issue 1 2010Arve E. Asbjørnsen Abstract The present study focussed on the determinants for effective solving of the Wordchains Test (WCT) in a normative sample of Norwegian junior high-school students. Forty voluntary participants from a rural school district in Western Norway completed the WCT along with tests of general intellectual capacity, single word and non-word reading, auditory working memory, and visual scanning. All measures correlated significantly with each other except for general non-verbal abilities were not correlated with visual scanning. A stepwise multiple regression analysis, using the WCT as the dependent variable, yielded a model that included single word reading, letter recognition, and working memory as independent variables. This model accounted for 75% of the variance in WCT performance. This finding suggests that phonological skills only have an indirect influence on WCT performance. Thus, the core deficit in dyslexia, i.e. impaired phonological skills, may be related to the development of word recognition skills, but have no direct effect on the WCT performance in a normative sample. Copyright © 2009 John Wiley & Sons, Ltd. [source] Executive functions in children with dyslexiaDYSLEXIA, Issue 2 2005Astrid Reiter Abstract There is little data available concerning the executive functions of children with dyslexia. The small number of existing studies in this field focus on single aspects of these functions such as working memory. The aim of the present study was therefore to assess a variety of aspects of executive functioning in children with dyslexia. Forty-two children with dyslexia and 42 non-dyslexic children were examined using a neuropsychological test battery. The test battery consisted of standardised tests examining the assessment of working memory, concept formation, inhibition, flexibility, problem solving and fluency functions. Comparison between the test performance of non-dyslexic children and children with dyslexia revealed obvious difficulties of children with dyslexia in tests measuring working memory. Inhibition of inappropriate reactions was impaired in children with dyslexia in more demanding tests, but not in simple ones. Furthermore, children with dyslexia displayed impairments of both verbal and figural fluency functions. While in comparison to non-dyslexic children no disturbances of concept formation were observed, problem solving seemed to be partially impaired. The present findings suggest that children with dyslexia demonstrate impairments in a variety of executive functions. This should be considered in the development of new concepts in the treatment of dyslexia. Copyright © 2004 John Wiley & Sons, Ltd. [source] Beyond Accountability and Average Mathematics Scores: Relating State Education Policy Attributes to Cognitive Achievement DomainsEDUCATIONAL MEASUREMENT: ISSUES AND PRACTICE, Issue 4 2005Laura M. Desimone We found moderate correlations among four policy attributes (consistency, specificity, authority, and power), which suggest that in many states, at least in design, standards-based reform is working as advocates imagined,aligned content standards and assessments established, backed up by detailed guidelines and frameworks, incentivized by rewards and sanctions, and supported with extra resources and programs for struggling students and their teachers. Our findings suggest that specificity and authority may be related to improvements in procedural knowledge, and no change in problem solving or conceptual understanding, while power (accountability) may be associated with a small decrease in all types of learning. We found that disadvantaged students showed gains in procedural knowledge and did not lose ground in either conceptual understanding or problem solving. Implications for developing an improved theory of policy effects on achievement are discussed. [source] Avoiding Misconception, Misuse, and Missed Opportunities: The Collection of Verbal Reports in Educational Achievement TestingEDUCATIONAL MEASUREMENT: ISSUES AND PRACTICE, Issue 4 2004Jacqueline P. Leighton The collection of verbal reports is one way in which cognitive and developmental psychologists gather data to formulate and corroborate models of problem solving. The current use of verbal reports to design and validate educational assessments reflects the growing trend to fuse cognitive psychological research and educational measurement. However, doubts about the trustworthiness or accuracy of verbal reports may suggest a potential reversal of this trend. Misconceptions about the trustworthiness of verbal reports could signal misuse of verbal reports and, consequently, waning interest and missed opportunities in the description of cognitive models of test performance. In this article, misconceptions of verbal reports are addressed by (a) discussing the value of cognitive models for educational achievement testing; (b) addressing pertinent issues in the collection of verbal reports from students; and (c) concluding with avenues for a more productive union between cognitive psychological research and educational measurement. [source] Electronic Tongues Employing Electrochemical SensorsELECTROANALYSIS, Issue 14 2010Manel del, Valle Abstract This review presents recent advances concerning work with electronic tongues employing electroanalytical sensors. This new concept in the electroanalysis sensor field entails the use of chemical sensor arrays coupled with chemometric processing tools, as a mean to improve sensors performance. The revision is organized according to the electroanalytical technique used for transduction, namely: potentiometry, voltammetry/amperometry or electrochemical impedance. The significant use of biosensors, mainly enzyme-based is also presented. Salient applications in real problem solving using electrochemical electronic tongues are commented. [source] | |||||||||||||||||||||||||||||||||||||||||||||||||