Search results for "complexi"

showing 10 items of 1116 documents

Sphingomonas fennica sp. nov. and Sphingomonas haloaromaticamans sp. nov., outliers of the genus Sphingomonas.

2007

Bacterial isolates obtained from polychlorophenol-contaminated sites in Finland (strain K101T) and from a Dutch drinking water well (strain A175T) were characterized taxonomically. 16S rRNA gene sequence analysis, determination of DNA G+C content, physiological characterization, estimation of the ubiquinone and polar lipid patterns and fatty acid content revealed that strains K101T and A175T were similar to Sphingomonas wittichii RW1T but also showed pronounced differences. The DNA G+C contents of the two novel strains were 63.6 and 66.1 mol%, respectively. On the basis of these results, two novel species of the genus Sphingomonas are described, for which the names Sphingomonas haloaromatic…

DNA BacterialMolecular Sequence Datamedicine.disease_causeMicrobiologyDNA RibosomalSphingomonasMicrobiologySphingomonas haloaromaticamansTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYRNA Ribosomal 16SBotanymedicineEcology Evolution Behavior and SystematicsPhylogenySphingomonas fennicaBase CompositionbiologyGeneral Medicinebiology.organism_classification16S ribosomal RNASphingomonasGenus SphingomonasSphingomonas wittichiiTaxonomy (biology)BacteriaChlorophenols
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Computational Models That Matter During a Global Pandemic Outbreak

2020

The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to gu…

DYNAMICSComputer and Information SciencesAgent-based modelIMPACT010501 environmental sciences01 natural sciencesRigourModelling03 medical and health sciencesPolitical scienceHealth carePandemicComputer Science (miscellaneous)Pandemic Disease0105 earth and related environmental sciencesAgent-based modelDatabusiness.industry030503 health policy & servicesSocial distanceSOCIAL-SCIENCESGeneral Social SciencesCOVID-19Social complexityPublic Health Global Health Social Medicine and EpidemiologyData- och informationsvetenskapPublic relationsVDP::Social science: 200Transparency (behavior)Call to actionAgent-Based ModelsFolkhälsovetenskap global hälsa socialmedicin och epidemiologiPandemic diseasePolicyVDP::Samfunnsvitenskap: 2000305 other medical sciencebusinessJASSS - The Journal of Artificial Societies and Social Simulation
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FO^2 with one transitive relation is decidable

2013

We show that the satisfiability problem for the two-variable first-order logic, FO^2, over transitive structures when only one relation is required to be transitive, is decidable. The result is optimal, as FO^2 over structures with two transitive relations, or with one transitive and one equivalence relation, are known to be undecidable, so in fact, our result completes the classification of FO^2-logics over transitive structures with respect to decidability. We show that the satisfiability problem is in 2-NExpTime. Decidability of the finite satisfiability problem remains open.

Data processing Computer scienceclassical decision problem two-variable first-order logic decidability computational complexityddc:004Computer Science::Formal Languages and Automata Theory
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New results for finding common neighborhoods in massive graphs in the data stream model

2008

AbstractWe consider the problem of finding pairs of vertices that share large common neighborhoods in massive graphs. We give lower bounds for randomized, two-sided error algorithms that solve this problem in the data-stream model of computation. Our results correct and improve those of Buchsbaum, Giancarlo, and Westbrook [On finding common neighborhoods in massive graphs, Theoretical Computer Science, 299 (1–3) 707–718 (2004)]

Data streamDiscrete mathematicsGeneral Computer ScienceExtremal graph theorySpace lower boundsModel of computationCommunication complexityGraph theoryUpper and lower boundsTheoretical Computer ScienceExtremal graph theoryCombinatoricsGraph algorithms for data streamsAlgorithms Theoretical Computer SciencedGraph algorithmsCommunication complexityComputer Science(all)MathematicsTheoretical Computer Science
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Verbal ordinal classification with multicriteria decision aiding

2008

Abstract Professionals in neuropsychology usually perform diagnoses of patients’ behaviour in a verbal rather than in a numerical form. This fact generates interest in decision support systems that process verbal data. It also motivates us to develop methods for the classification of such data. In this paper, we describe ways of aiding classification of a discrete set of objects, evaluated on set of criteria that may have verbal estimations, into ordered decision classes. In some situations, there is no explicit additional information available, while in others it is possible to order the criteria lexicographically. We consider both of these cases. The proposed Dichotomic Classification (DC…

Decision support systemInformation Systems and ManagementGeneral Computer ScienceComputational complexity theoryComputer sciencebusiness.industryProcess (engineering)Management Science and Operations ResearchLexicographical orderObject (computer science)Machine learningcomputer.software_genreIndustrial and Manufacturing EngineeringSet (abstract data type)Modeling and SimulationArtificial intelligenceMedical diagnosisbusinesscomputerDecision analysisEuropean Journal of Operational Research
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A recurrent deep neural network model to measure sentence complexity for the Italian Language

2019

Text simplification (TS) is a natural language processing task devoted to the modification of a text in such a way that the grammar and structure of the phrases is greatly simplified, preserving the underlying meaning and information contents. In this paper we give a contribution to the TS field presenting a deep neural network model able to detect the complexity of italian sentences. In particular, the system gives a score to an input text that identifies the confidence level during the decision making process and that could be interpreted as a measure of the sentence complexity. Experiments have been carried out on one public corpus of Italian texts created specifically for the task of TS…

Deep Neural NetworksText Simplification Natural Language Processing Deep Neural NetworksSettore INF/01 - InformaticaComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAutomatic Text Complexity EvaluationNLP
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The dependency of the validity of information integration on cognitive variables and the judgement task

1980

Simple models of information integration focus essentially on the combination of the components of information. This research investigated whether cognitive variables in the constructs of intelligence and cognitive complexity, as well as concentration, could predict the conditions of simple models of judgement. As additional predictors, the two qualitative variables [type of information] and [experience of the judgement task] were introduced. Subjects judged three types of stimuli using the pair comparison method. The conditions of the judgement models were analysed in the framework of the conjoint-measurement approach. Five different regression functions provided mediocre approximations to…

Dependency (UML)Social PsychologySimple (abstract algebra)JudgementCognitive complexityPsychologySocial psychologyRegressionInformation integrationFocus (linguistics)Task (project management)European Journal of Social Psychology
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Weak and strong recognition by 2-way randomized automata

1997

Languages weakly recognized by a Monte Carlo 2-way finite automaton with n states are proved to be strongly recognized by a Monte Carlo 2-way finite automaton with no(n) states. This improves dramatically over the previously known result by M.Karpinski and R.Verbeek [10] which is also nontrivial since these languages can be nonregular [5]. For tally languages the increase in the number of states is proved to be only polynomial, and these languages are regular.

Deterministic pushdown automatonCombinatoricsDeterministic automatonProbabilistic automatonPushdown automatonQuantum finite automataBüchi automatonTwo-way deterministic finite automatonNondeterministic finite automatonComputer Science::Computational ComplexityComputer Science::Formal Languages and Automata TheoryMathematics
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High spatial resolution analysis of the iron oxidation state in silicate glasses using the electron probe

2018

The iron oxidation state in silicate melts is important for understanding their physical properties, although it is most often used to estimate the oxygen fugacity of magmatic systems. Often high spatial resolution analyses are required, yet the available techniques, such as μrXANES and μMössbauer, require synchrotron access. The flank method is an electron probe technique with the potential to measure Fe oxidation state at high spatial resolution but requires careful method development to reduce errors related to sample damage, especially for hydrous glasses. The intensity ratios derived from measurements on the flanks of FeLα and FeLβ X-rays (FeLβf/FeLαf) over a time interval (time-depend…

Dewey Decimal Classification::500 | Naturwissenschaften::540 | ChemieMaterials science010504 meteorology & atmospheric sciencesoxidationAnalytical chemistryreductionElectron010502 geochemistry & geophysics01 natural sciencesflank methodReduction (complexity)symbols.namesakeelectron beam damageGeochemistry and PetrologyOxidation stateElectron probe microanalysis (EPMA)High spatial resolutioniron (Fe) oxidation statesilicate glassSilicate glass0105 earth and related environmental sciencesGeophysicsddc:540Raman spectroscopysymbolsRaman spectroscopy
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The Importance of the Nurse’s Role in the Management of Complex Diabetic Outpatients: It is the Time to Manage Patient’s Multidimensions

2018

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Diabetes Quality of lifemedicine.medical_specialtyUltrasound scanComorbiditylaw.invention03 medical and health sciences0302 clinical medicineClinical pathwaylawMedicineTherapeutic ReconciliationClinical ComplexityNursing AssessmentDepression (differential diagnoses)PolypharmacyClinical pharmacology030214 geriatricsbusiness.industryOutpatientDiabetes MellituGeneral MedicineSettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatrichePatient Care ManagementNutritionistChronic DiseasePhysical therapyGeriatric Depression ScalebusinessBioelectrical impedance analysisNeeds AssessmentBiomedical Journal of Scientific & Technical Research
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