Search results for "SIM"

showing 10 items of 10139 documents

Metabolic detoxification: implications for thresholds.

2000

The fact that chemical carcinogenesis involves single, isolated, essentially irreversible molecular events as discrete steps, several of which must occur in a row to finally culminate in the development of a malignancy, rather suggests that an absolute threshold for chemical carcinogens may not exist. However, practical thresholds may exist due to saturable pathways involved in the metabolic processing, especially in the metabolic inactivation, of such compounds. An important example for such a pathway is the enzymatic hydrolysis of epoxides via epoxide hydrolases, a group of enzymes for which the catalytic mechanism has recently been established. These enzymes convert their substrates via…

040301 veterinary sciencesDNA damageEpoxide10050 Institute of Pharmacology and Toxicology610 Medicine & healthToxicology030226 pharmacology & pharmacyPathology and Forensic MedicineXenobiotics0403 veterinary science1307 Cell Biology03 medical and health scienceschemistry.chemical_compound0302 clinical medicineEnzymatic hydrolysis1312 Molecular BiologyAnimalsHumansComputer SimulationEpoxide hydrolaseMolecular BiologyCarcinogenchemistry.chemical_classificationEpoxide HydrolasesDose-Response Relationship Drug3005 Toxicology04 agricultural and veterinary sciencesCell Biology2734 Pathology and Forensic MedicineEnzymechemistryBiochemistryCovalent bondEpoxide HydrolasesInactivation MetabolicCarcinogensMicrosomes Liver570 Life sciences; biologyMutagensToxicologic pathology
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Return Migration Process in Policy and Practice

2019

AbstractThis chapter focuses on return migration processes in Latvia, integrating analysis of return migration policy and the experiences of return migrants. The analysis considers the extent to which return policy activities correspond to the needs and expectations of the target group, and addresses the role of this policy in the process of making the decision to return. The data used for the analysis are policy planning documents, The Emigrant Communities of Latvia survey and in-depth interviews. The main empirical evidence of the return experiences of migrants in the chapter comes from 18 in-depth interviews with Latvian returnees from various age and social status groups, who left Latvi…

05 social sciences0507 social and economic geographyLatvianlanguage.human_language0506 political sciencePolicy planningPolitical scienceAssimilation (phonology)050602 political science & public administrationlanguageDemographic economicsEmpirical evidence050703 geographySocial status
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Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

2019

Agent-Based Modelling has been used for social simulation because of the several benefits it entails. Social models are often constructed by inter-disciplinary teams that include subject-matter experts with no programming skills. These experts are typically involved in the creation of the conceptual model, but not the verification or validation of the simulation model. The Overview, Design concepts, and Details (ODD) protocol has emerged as a way of presenting a model at a high level of abstraction and as an effort towards improving the reproducibility of Agent-Based Models (ABMs) but it is typically written after a model has been completed. This paper reverses the process and provides non-…

050101 languages & linguisticsComputer scienceNetLogobusiness.industryProcess (engineering)05 social sciencesConceptual model (computer science)02 engineering and technologycomputer.file_formatMetamodeling0202 electrical engineering electronic engineering information engineeringVDP::Samfunnsvitenskap: 200020201 artificial intelligence & image processing0501 psychology and cognitive sciencesCode generationExecutableSoftware engineeringbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computerProtocol (object-oriented programming)computer.programming_languageSocial simulation
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Attention-based Model for Evaluating the Complexity of Sentences in English Language

2020

The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…

050101 languages & linguisticsComputer scienceText simplificationcomputer.software_genredeep-learningNLPDeep Learning0501 psychology and cognitive sciencestext simplificationBaseline (configuration management)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaArtificial neural networktext-complexity-evaluationbusiness.industryDeep learning05 social sciences050301 educationExtension (predicate logic)AutomationAutomatic Text SimplificationSupport vector machineArtificial intelligencebusiness0503 educationcomputerNatural language processingSentence
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Deep neural attention-based model for the evaluation of italian sentences complexity

2020

In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.

050101 languages & linguisticsExploitComputer science02 engineering and technologyText complexity evaluationMachine learningcomputer.software_genreTask (project management)Text Simplification0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMeasure (data warehouse)Deep Neural NetworksArtificial neural networkSettore INF/01 - Informaticabusiness.industryItalian languageNatural language processing05 social sciencesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Deep learningText ComplexityBinary classification020201 artificial intelligence & image processingArtificial intelligenceTest phasebusinesscomputerSentence
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Figure–Ground Spatial Relationships in Finnish Sign Language Discourse

2020

AbstractThis study is about expressing spatial relationships between Figure and Ground in Finnish Sign Language discourse and shows that the variation in this expression is primarily discourse dependent. The main findings are, first, that Ground mainly precedes Figure whether the Figure is new or a known referent within the discourse; the reverse order is possible only when the Figure is known. Second, the lexical signolla(‘have’) appears more frequently in expressing spatial relationships with a new Figure and less frequently with a known Figure but never in a construction with Figure preceding Ground; the formoli(‘had’), referring to the past, appears only in Figure preceding Ground const…

050101 languages & linguisticsLinguistics and LanguageHistorygroundP1-1091Sign languagespatial relationshipsLanguage and Linguistics030507 speech-language pathology & audiology03 medical and health sciencesviittomakielisequentiality0501 psychology and cognitive sciencesPhilology. Linguisticskeskustelunanalyysi05 social sciencesFigure–groundsimultaneityLinguisticsfigureFinnish sign languagefinnish sign languagesanajärjestyssuomalainen viittomakielidiscourse0305 other medical sciencelauseoppiOpen Linguistics
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Multi-class Text Complexity Evaluation via Deep Neural Networks

2019

Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learning algorithms in order to classify texts into complex or simple classes. In this paper, we try to go beyond the methodologies presented so far by introducing a preliminary system based on a deep neural network model whose objective is to classify sentences into more of two classes. Experiments have been carried out on a manually annotated corpus which has been preprocessed in order to make it suitable for the scope of the paper. The results sho…

050101 languages & linguisticsSettore INF/01 - InformaticaArtificial neural networkText simplificationbusiness.industryComputer science05 social sciencesText simplification02 engineering and technologyDeep neural networkMachine learningcomputer.software_genreClass (biology)Task (project management)Simple (abstract algebra)Automatic Text Complexity Evaluation0202 electrical engineering electronic engineering information engineeringDeep neural networks020201 artificial intelligence & image processing0501 psychology and cognitive sciencesArtificial intelligencebusinesscomputerScope (computer science)
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Breaking the Dominance of Dominant Voices: How the Therapist Promotes Assimilation by Facilitating Dialogue with the Client’s Problematic Voices

2019

Assimilation requires a dialogue between the client’s dominant and non-dominant internal voices, that is between the client’s usual self and his or her problematic experiences. This dialogue is est...

050103 clinical psychologyLinguistics and LanguageInformationSystems_MODELSANDPRINCIPLESSocial Psychology05 social sciencesAssimilation (phonology)Developmental and Educational Psychology050109 social psychology0501 psychology and cognitive sciencesPsychologySocial psychologyJournal of Constructivist Psychology
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Elaborating the assimilation model: Introduction to a special section on case studies of setbacks within sessions and therapeutic collaboration

2016

AbstractThis article introduces a Special Section of case studies that focus on therapeutic collaboration and setbacks in the process of assimilation with the aim of contributing to the evolution of the assimilation model of therapeutic change. The first study examined setbacks in two depression cases (a good vs. a poor outcome) treated with emotion-focused therapy. The second article traced how therapist activities and positions toward internal voices were associated with setbacks in a case treated with linguistic therapy of evaluation. The third article studied contributions of therapeutic collaboration for both advances and setbacks in assimilation in two contrasting cases treated with e…

050103 clinical psychologyPsychotherapist05 social sciencesAssimilation (biology)AmbivalenceNarrative therapy030227 psychiatryTherapeutic relationship03 medical and health sciencesClinical Psychology0302 clinical medicineSpecial section0501 psychology and cognitive sciencesGood outcomePsychologyPsychotherapy Research
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2017

Background/Objective: The Life Orientation Test-Revised (LOT-R) is often used to assess dispositional optimism. The aims of this study were to test psychometric properties of the LOT-R, to provide normative scores, and to test the association between optimism and several psychological, sociodemographic, and behavioral factors. Method: A randomly selected German general population community sample with an age range of 18-80 years (N = 9,711) was surveyed. Results: The Confirmatory Factor Analysis (CFA) proved two (correlated) factors: Optimism and Pessimism. Invariance tests across gender and age groups confirmed metric invariance. There were only small gender differences in the LOT-R total …

050103 clinical psychologymedicine.medical_specialtyeducation.field_of_studymedia_common.quotation_subject05 social sciencesPopulationPessimismConfirmatory factor analysisDevelopmental psychologyTest (assessment)03 medical and health sciencesClinical Psychology0302 clinical medicineOptimismEpidemiologymedicineNormative0501 psychology and cognitive sciencesMeasurement invariance030212 general & internal medicinePsychologyeducationmedia_commonInternational Journal of Clinical and Health Psychology
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