Search results for "Natural language"

showing 10 items of 650 documents

The EDNAP mitochondrial DNA population database (EMPOP) collaborative exercises: organisation, results and perspectives.

2003

This paper presents an overview of the organisation and the results of the collaborative exercises (CE) of the European DNA Profiling (EDNAP) Group's mitochondrial DNA population database project (EMPOP). The aim of the collaborative exercises was to determine whether uniformity of mtDNA sequencing results could be achieved among different laboratories. These were asked to sequence either the complete mtDNA control region or the two hypervariable regions HVI (16024-16365) and HVII (73-340) from DNA extracts, buccal swabs or bloodstains, proceeding in accordance with the protocol and strategies used in each individual laboratory. The results of the collaborative exercises were employed to id…

Quality ControlMitochondrial DNAPopulationContext (language use)Biologycomputer.software_genreDNA MitochondrialPolymerase Chain ReactionPathology and Forensic MedicinePopulation DatabaseHumansCooperative BehavioreducationDNA PrimersmtDNA control regionGeneticsProtocol (science)education.field_of_studybusiness.industryClinical Laboratory TechniquesSequence Analysis DNAForensic MedicineHypervariable regionGenetics PopulationDNA profilingArtificial intelligencebusinessDatabases Nucleic AcidLawcomputerNatural language processingForensic science international
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Sensory evaluation based on verbal judgments

1999

Studies of the repeatability and the homogeneity of expert panel scores in sensory profiling show that lasting and reliable evaluations of food products are difficult to obtain: strong inter- and intra-individual differences are commonly observed. Our hypothesis is that this variability is due to quantification methods that consist of asking panelists to furnish quantitative values (by attributing a numerical point to perceived intensity) and that using natural language in the form of verbal judgements in a hierarchical tree would allow improving the reliability of sensory evaluations. This hypothesis was tested by comparing a numerical value scale and a specific hierarchical semantic scale…

Quantification methods[SDV]Life Sciences [q-bio]Sensory systemcomputer.software_genreSensory analysis03 medical and health sciences0404 agricultural biotechnology0302 clinical medicineProfiling (information science)ComputingMilieux_MISCELLANEOUSbusiness.industryREPETABILTE04 agricultural and veterinary sciencesRepeatability040401 food scienceSensory Systems030227 psychiatry[SDV] Life Sciences [q-bio]Food productsSemantic differentialArtificial intelligencebusinessPsychologySocial psychologycomputerNatural languageNatural language processingFood Science
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Unsupervised quantitative methods to analyze student reasoning lines: Theoretical aspects and examples

2019

[This paper is part of the Focused Collection on Quantitative Methods in PER: A Critical Examination.] A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means of two different clustering methods, a hierarchical one and a nonhierarchical one. We start from the coding procedures needed to obtain analyzable data from the questionnaire and from a definition of a correlation coefficient suitable for measuri…

Quantitative analysiPhysics educationLC8-6691Mathematical modelbusiness.industryPhysicsQC1-999Physics educationGeneral Physics and Astronomycomputer.software_genreSpecial aspects of educationEducationCluster analysisStatistical analysisArtificial intelligencebusinessMathematics instructioncomputerNatural language processingCoding (social sciences)Physical Review Physics Education Research
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On the class of languages recognizable by 1-way quantum finite automata

2000

It is an open problem to characterize the class of languages recognized by quantum finite automata (QFA). We examine some necessary and some sufficient conditions for a (regular) language to be recognizable by a QFA. For a subclass of regular languages we get a condition which is necessary and sufficient. Also, we prove that the class of languages recognizable by a QFA is not closed under union or any other binary Boolean operation where both arguments are significant.

Quantum PhysicsComputer Science::Programming LanguagesFOS: Physical sciencesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Computer Science::Computational ComplexityQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Bottom-quark mass from finite energy QCD sum rules

2011

Finite energy QCD sum rules involving both inverse and positive moment integration kernels are employed to determine the bottom quark mass. The result obtained in the $\bar{\text {MS}}$ scheme at a reference scale of $10\, {GeV}$ is $\bar{m}_b(10\,\text{GeV})= 3623(9)\,\text{MeV}$. This value translates into a scale invariant mass $\bar{m}_b(\bar{m}_b) = 4171 (9)\, {MeV}$. This result has the lowest total uncertainty of any method, and is less sensitive to a number of systematic uncertainties that affect other QCD sum rule determinations.

Quantum chromodynamicsPhysicsNuclear and High Energy PhysicsParticle physicsQCD sum rulesHigh Energy Physics - Lattice (hep-lat)High Energy Physics::PhenomenologyInverseFísicaFOS: Physical sciencesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Bottom quarkHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)High Energy Physics - LatticeHigh Energy Physics::ExperimentSum rule in quantum mechanicsEnergy (signal processing)
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Determination of m¯b/m¯c and m¯b from nf=4 lattice QCD+QED

2021

We extend HPQCD's earlier ${n}_{f}=2+1+1$ lattice-QCD analysis of the ratio of $\overline{\mathrm{MS}}$ masses of the $b$ and $c$ quark to include results from finer lattices (down to 0.03 fm) and a new calculation of QED contributions to the mass ratio. We find that ${\overline{m}}_{b}(\ensuremath{\mu})/{\overline{m}}_{c}(\ensuremath{\mu})=4.586(12)$ at renormalization scale $\ensuremath{\mu}=3\text{ }\text{ }\mathrm{GeV}$. This result is nonperturbative. Combining it with HPQCD's recent lattice $\mathrm{QCD}+\mathrm{QED}$ determination of ${\overline{m}}_{c}(3\text{ }\text{ }\mathrm{GeV})$ gives a new value for the $b$-quark mass: ${\overline{m}}_{b}(3\text{ }\text{ }\mathrm{GeV})=4.513(2…

QuarkQuantum chromodynamicsPhysicsParticle physics010308 nuclear & particles physicsComputer Science::Information RetrievalHigh Energy Physics::LatticeHigh Energy Physics::PhenomenologyComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Lattice QCDMass ratio01 natural sciencesRenormalizationLattice (order)0103 physical sciencesHigh Energy Physics::Experiment010306 general physicsPhysical Review D
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Bayesian Modelling of Confusability of Phoneme-Grapheme Connections

2007

Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia. This has motivated the use of Literate, a computer game for training this skill, in several Finnish schools and households as a tool in the early prevention of reading disability. In this paper, we present a Bayesian model that uses a student's performance in a game like Literate to infer which phoneme-grapheme connections student currently confuses with each other. This information can be used to adapt the game to a particular student's skills as well as to provide information about the student's learning progress to their parents and teachers. We apply our model to …

Reading disabilityComputer sciencebusiness.industryBayesian probabilityDyslexiaGraphemecomputer.software_genreBayesian inferencemedicine.diseasemedicineArtificial intelligencebusinesscomputerNatural language processingNatural languageSeventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
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Layout attributes and recall

2003

The spatial arrangement of elements such as icons in a computer interface may influence learning the interface. However, the effects of layout organization on users' information processing is relatively little studied so far. The three experiments of this paper examined two attributes of layouts: spatial grouping by proximity and semantic coherence. Learning was assessed by tasks in which 30 participants recalled icon-like items' labels, locations, or both as a series of study-recall trials. The results show that layout organization interacts with task demands. Semantic organization improves recall of labels, and spatial grouping supports recall of locations. When both labels and locations …

RecallComputer sciencebusiness.industryInterface (computing)Information processingGeneral Social Sciencescomputer.software_genreSemanticsTask (project management)Human-Computer InteractionArts and Humanities (miscellaneous)Chunking (psychology)Developmental and Educational PsychologyArtificial intelligenceUser interfacebusinesscomputerSpatial organizationNatural language processing
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Recall of common and uncommon words from pure and mixed lists

1980

Recall of high- and low-frequency words in the conventional free recall paradigm was compared with recall of the same words when subjects were required to count backward before and after the presentation of each word. The addition of this distractor task was associated with a reduction in the high-frequency advantage otherwise found with pure lists containing only high- or low-frequency words. This finding is attributed to the disruption of organizational processes. In contrast, the low-frequency advantage found with conventional presentation of mixed lists, containing high- and low-frequency words, was not reduced by distraction. These findings indicate that the frequency effects obtained …

Recallbusiness.industryRecall testContrast (statistics)General Medicinecomputer.software_genreWord lists by frequencyOrganizational processesFree recallDistractionArtificial intelligencePsychologybusinesscomputerSocial psychologyNatural language processingWord (group theory)Journal of Verbal Learning and Verbal Behavior
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Corpus Analysis and Register Variation: a field in need of an update

2013

Abstract This study reviews the development of research on register variation (RV) over the last century to the present, emphasizing the influence of corpus analyses on its greatest advances and also on its major weaknesses and ambiguities. In search of practical and useful methods to analyse language registers, in the second part of the paper, the authors sketch a different approach to RV which has been used over the last ten years in language teaching at university level and professional communication training.

Register (sociolinguistics)Professional communicationCorpus analysisbusiness.industryComputer scienceLanguage educationcomputer.software_genreField (computer science)LinguisticsSketchFILOLOGIA INGLESACorpus analysisVariation (linguistics)Corpus linguisticsLanguage educationGeneral Materials ScienceArtificial intelligenceLanguage registersEnglish varietiesbusinesscomputerNatural language processing
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