Search results for "A* algorithm"

showing 10 items of 2538 documents

NMR spectral assignment of substituted salicylaldoximes by inverse pulse techniques withz-gradient selection: correlation of NMR parameters with subs…

1997

chemistry.chemical_compoundChemistryAnalytical chemistrySubstituentInversePhysical chemistryGeneral Materials ScienceGeneral ChemistrySelection (genetic algorithm)Pulse (physics)Magnetic Resonance in Chemistry
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NMR Solution Conformation of the Proposed Recombin Like Structure D(CCGCGG)2

1997

Long repeated stretches of d(CCG) trinucleotide are the crucial mutation of gen that causes hereditary form of mental retardation (fragile X-syndrome). Moreover, the alternating (CG) dinucleotide is one of the candidates for Z-DNA conformation. Both sequences are part of the hexanucleotide d(CCGCGG)2- d(CCGCGG)2 forms different crystals depending on the crystallisation conditions. In one of these forms, the central alternating tetramer has a Z-DNA conformation, while the initial cytosine swings out and forms a Watson-Crick base-pair with the terminal guanine of a symmetry-related molecule. In this communication a detailed comparison between solid and solution spatial conformation by NMR of …

chemistry.chemical_compoundCrystallographychemistryTetramerlawGuanineMutation (genetic algorithm)Solid-stateMoleculeCrystallizationCytosinelaw.invention
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1127P Correlation of BRAF mutation status in circulating tumour DNA (ctDNA) with tumour biopsy and clinical outcomes in COLUMBUS

2020

chemistry.chemical_compoundOncologymedicine.diagnostic_testchemistrybusiness.industryMutation (genetic algorithm)BiopsyCancer researchMedicineHematologybusinessDNAAnnals of Oncology
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Erratum to “New time-dependent Monte Carlo algorithm designed to model three-phase batch reactor processes: applications on 2,4-dinitro-toluene hydro…

2003

Erratum to “New time-dependent Monte Carlo algorithm designed to model three-phase batch reactor processes: applications on 2,4-dinitro-toluene hydrogenation on Pd/C catalysts” [Chem. Eng. J. 91 (2003) 133–142] Giampaolo Barone a,b, Dario Duca a,b,∗ a Dipartimento di Chimica Inorganica ed Analitica, Universita di Palermo, Viale delle Scienze, I-90128 Palermo, Italy b Dipartimento di Scienze Farmaceutiche, Universita di Salerno, Via Ponte don Melillo, I-84084 Fisciano, Salerno, Italy

chemistry.chemical_compoundThree-phaseChemistryGeneral Chemical EngineeringBatch reactorEnvironmental ChemistryPhysical chemistryGeneral ChemistryStatistical physicsTolueneIndustrial and Manufacturing EngineeringMonte Carlo algorithmCatalysisChemical Engineering Journal
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Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission

2022

In the next few years, the new Copernicus Hyperspectral Imaging Mission (CHIME) is foreseen to be launched by the European Space Agency (ESA). This mission will provide an unprecedented amount of hyperspectral data, enabling new research possibilities within several fields of natural resources, including the “agriculture and food security” domain. In order to efficiently exploit this upcoming hyperspectral data stream, new processing methods and techniques need to be studied and implemented. In this work, the hybrid approach (HYB) and its variant, featuring sampling dimensionality reduction through active learning heuristics (HAL), were applied to CHIME-like data to evaluate the…

chlorophyll contentmachine learning regression algorithmactive learningGeneral Earth and Planetary Sciencesspaceborne imaging spectroscopyradiative transfer modelingGaussian process regressionnitrogen contentRemote Sensing
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GPU accelerated Monte Carlo simulations of lattice spin models

2011

We consider Monte Carlo simulations of classical spin models of statistical mechanics using the massively parallel architecture provided by graphics processing units (GPUs). We discuss simulations of models with discrete and continuous variables, and using an array of algorithms ranging from single-spin flip Metropolis updates over cluster algorithms to multicanonical and Wang-Landau techniques to judge the scope and limitations of GPU accelerated computation in this field. For most simulations discussed, we find significant speed-ups by two to three orders of magnitude as compared to single-threaded CPU implementations.

cluster algorithmsStatistical Mechanics (cond-mat.stat-mech)Computer scienceComputationNumerical analysisspin modelsMonte Carlo methodHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesStatistical mechanicsGPU computingPhysics and Astronomy(all)Computational Physics (physics.comp-ph)generalized-ensemble simulationsMonte Carlo simulationsComputational scienceCUDAHigh Energy Physics - LatticeSpin modelGeneral-purpose computing on graphics processing unitsGraphicsPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

2011

Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. Following Handl et al., it can be summarized as a three step process: (a) choice of a distance function; (b) choice of a clustering algorithm; (c) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Unfortunately, the high dimensionality of the data and their noisy nature makes cluster analysis of genomic data particul…

cluster validation indicesSettore INF/01 - InformaticaProcess (engineering)Computer sciencebusiness.industryGenomic datadistance functionMachine learningcomputer.software_genreObject (computer science)ClusteringCluster algorithmPredictive powerRelevance (information retrieval)Artificial intelligenceHigh dimensionalitybusinessCluster analysiscomputer
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Efficient checking of coherence and propagation of imprecise probability assessments

2000

We consider the computational difficulties in the checking of coherence and propagation of imprecise probability assessments. We examine the linear structure of the random gain in betting criterion and we propose a general methodology which exploits suitable subsets of the set of values of the random gain. In this way the checking of coherence and propagation amount to examining linear systems with a reduced number of unknowns. We also illustrate an example.

computationCoherent probability assessments propagation random gain computation algorithmsSettore MAT/06 - Probabilita' E Statistica MatematicaCoherent probability assessmentsrandom gainCoherent probability assessments; propagation; random gain; computation; algorithms.Coherent probability assessments; Propagation; AlgorithmsPropagationAlgorithms
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Probabilistic Logic under Coherence: Complexity and Algorithms

2005

In previous work [V. Biazzo, A. Gilio, T. Lukasiewicz and G. Sanfilippo, Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P, Journal of Applied Non-Classical Logics 12(2) (2002) 189---213.], we have explored the relationship between probabilistic reasoning under coherence and model-theoretic probabilistic reasoning. In particular, we have shown that the notions of g-coherence and of g-coherent entailment in probabilistic reasoning under coherence can be expressed by combining notions in model-theoretic probabilistic reasoning with concepts from default reasoning. In this paper, we continue this line of research. Based on the above sem…

conditional probability assessmentSettore MAT/06 - Probabilita' E Statistica MatematicaDivergence-from-randomness modelalgorithmsprobabilistic logicConditional probability assessments; probabilistic logic; g-coherence; g-coherent entailment; complexity and algorithms.Artificial IntelligenceProbabilistic logic networkprobabilistic logic under coherenceConditional probability assessmentsProbabilistic analysis of algorithmsNon-monotonic logicconditional constraintMathematicsg-coherent entailmentConditional probability assessments probabilistic logic g-coherence g-coherent entailment complexity and algorithms.Reasoning systemcomputational complexitymodel-theoretic probabilistic logicApplied Mathematicscomplexity and algorithmsProbabilistic logiclogical constraintProbabilistic argumentationg-coherenceconditional probability assessment logical constraint conditional constraint probabilistic logic under coherence model-theoretic probabilistic logic g-coherence g-coherent entailment computational complexity algorithmsProbabilistic CTLalgorithms; computational complexity; conditional constraint; conditional probability assessment; g-coherence; g-coherent entailment; logical constraint; model-theoretic probabilistic logic; probabilistic logic under coherenceAlgorithmAnnals of Mathematics and Artificial Intelligence
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GLI3 is rarely implicated in OFD syndromes with midline abnormalities

2011

A range of phenotypes including Greig cephalopolysyndactyly and Pallister-Hall syndromes (GCPS, PHS) are caused by pathogenic mutation of the GLI3 gene. To characterize the clinical variability of GLI3 mutations, we present a subset of a cohort of 174 probands referred for GLI3 analysis. Eighty-one probands with typical GCPS or PHS were previously reported, and we report the remaining ninety-three probands here. This includes nineteen probands (twelve mutations) who fulfilled clinical criteria for GCPS or PHS, forty-eight probands (sixteen mutations) with features of GCPS or PHS but who did not meet the clinical criteria (sub-GCPS and sub-PHS), twenty-one probands (six mutations) with featu…

congenital hereditary and neonatal diseases and abnormalitiesPallister-Hall SyndromeKruppel-Like Transcription FactorsNerve Tissue ProteinsBiologyBioinformaticsArticlePolydactylyMutationGLI3Mutation (genetic algorithm)GeneticsHumansAbnormalities MultipleSyndactylyGenetics (clinical)Human Mutation
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