Search results for "Tribute"

showing 10 items of 1455 documents

The power of stories in Pediatrics and Genetics

2016

On the occasion of the opening ceremony of the 43rd Sicilian Congress of Pediatrics, linked with Italian Society of Pediatrics SIP, SIN, SIMEUP, SIAIP and SINP, held in Catania in November 2015, the Organizing Committee dedicated a tribute to Professor John Opitz and invited him to give a Masters Lecture for the attendees at the Congress. The theme expounded was “Storytelling in Pediatrics and Genetics: Lessons from Aesop and from Mendel”. The contribution of John Opitz to the understanding of pediatric clinical disorders and genetic anomalies has been extremely relevant. The interests of Professor John Opitz are linked not only to genetic disorders but also extend to historical medicine, h…

0301 basic medicineGeneticsPediatricsmedicine.medical_specialtyMaternal and child healthbusiness.industryTributepediatrics genetics historical medicine030105 genetics & heredityChild developmentPower (social and political)03 medical and health sciences030104 developmental biologyCommentaryMedicineOpening ceremonybusinessStorytellingTheme (narrative)
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Label Style and Color Contribution to Explain Market Price Difference in Italian Red Wines Sold in the Chinese Wine Market

2017

This study employs a hedonic price methodology to investigate the implicit price of individual labelling characteristics of Italian red wines sold in the Chinese market. Our results highlight the most important quality attributes (extrinsic and intrinsic) given in the label capable to explain price difference. In particular, reveal significant premium price for wine origin, identified in particular through the DOC/DOCG appellation given in the label, and for clean labels or labels with particular designs. On the contrary, a price discount has been revealed for Italian wines produced with local grape varieties and with a label characterised by warm colors. These results, partly in disagreeme…

0301 basic medicineMarketingWine030109 nutrition & dieteticsmedia_common.quotation_subject05 social sciencesChinese marketAdvertisingStyle (sociolinguistics)03 medical and health sciencesDifferential pricingCommerceLabellingSettore AGR/01 - Economia Ed Estimo Rurale0502 economics and businessMarket price050211 marketingQuality (business)BusinessBusiness and International ManagementChinese wine market hedonic model Italian wine quality attributes wine label styleFood ScienceWine industrymedia_commonJournal of International Food & Agribusiness Marketing
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Global emergence of the widespread Pseudomonas aeruginosa ST235 clone

2018

Abstract Objectives Despite the non-clonal epidemic population structure of Pseudomonas aeruginosa , several multi-locus sequence types are distributed worldwide and are frequently associated with epidemics where multidrug resistance confounds treatment. ST235 is the most prevalent of these widespread clones. In this study we aimed to understand the origin of ST235 and the molecular basis for its success. Methods The genomes of 79 P. aeruginosa ST235 isolates collected worldwide over a 27-year period were examined. A phylogenetic network was built, using a Bayesian approach to find the Most Recent Common Ancestor, and we identified antibiotic resistance determinants and ST235-specific genes…

0301 basic medicineMost recent common ancestorClone (cell biology)[ SDV.MP.BAC ] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriologymedicine.disease_causeGlobal HealthGenome[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyPrevalenceCluster Analysis[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]High-risk clonesPhylogenyComputingMilieux_MISCELLANEOUSMolecular EpidemiologyGeneral Medicine3. Good healthInfectious Diseases[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Pseudomonas aeruginosaEfflux[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]FluoroquinolonesMicrobiology (medical)Genotype030106 microbiologyEpidemic[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBacterial resistanceMicrobiology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingEvolution Molecular03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Antibiotic resistanceDrug Resistance BacterialmedicinePseudomonas InfectionsGenePseudomonas aeruginosaPathogenInternational clones[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationMultiple drug resistanceGenes Bacterial[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Multilocus Sequence Typing
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A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.

2018

International audience; In this article, a new Python package for nucleotide sequences clustering is proposed. This package, freely available on-line, implements a Laplacian eigenmap embedding and a Gaussian Mixture Model for DNA clustering. It takes nucleotide sequences as input, and produces the optimal number of clusters along with a relevant visualization. Despite the fact that we did not optimise the computational speed, our method still performs reasonably well in practice. Our focus was mainly on data analytics and accuracy and as a result, our approach outperforms the state of the art, even in the case of divergent sequences. Furthermore, an a priori knowledge on the number of clust…

0301 basic medicineNematoda01 natural sciencesGaussian Mixture Model[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]ComputingMilieux_MISCELLANEOUScomputer.programming_language[STAT.AP]Statistics [stat]/Applications [stat.AP]Phylogenetic treeDNA ClusteringGenomicsHelminth ProteinsComputer Science Applications[STAT]Statistics [stat]010201 computation theory & mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Data analysisEmbeddingA priori and a posteriori[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Health Informatics0102 computer and information sciences[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Laplacian EigenmapsAnimalsCluster analysis[SDV.GEN]Life Sciences [q-bio]/GeneticsModels Geneticbusiness.industryPattern recognitionNADH DehydrogenaseSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationVisualization030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONPlatyhelminths[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Programming LanguagesArtificial intelligence[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputerComputers in biology and medicine
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2016

The growth of next-generation sequencing (NGS) datasets poses a challenge to the alignment of reads to reference genomes in terms of alignment quality and execution speed. Some available aligners have been shown to obtain high quality mappings at the expense of long execution times. Finding fast yet accurate software solutions is of high importance to research, since availability and size of NGS datasets continue to increase. In this work we present an efficient parallelization approach for NGS short-read alignment on multi-core clusters. Our approach takes advantage of a distributed shared memory programming model based on the new UPC++ language. Experimental results using the CUSHAW3 alig…

0301 basic medicinePhysics020203 distributed computingMulti-core processorDistributed shared memoryMultidisciplinarySource codemedia_common.quotation_subjectNode (networking)02 engineering and technologyDynamic priority schedulingParallel computingBioinformatics03 medical and health sciences030104 developmental biologyScalability0202 electrical engineering electronic engineering information engineeringProgramming paradigmPartitioned global address spacemedia_commonPLOS ONE
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Toward shrimp consumption without chemicals: Combined effects of freezing and modified atmosphere packaging (MAP) on some quality characteristics of …

2015

The combined effects of freezing and modified atmosphere packaging (MAP) (100% N2 and 50% N2 + 50% CO2) on some quality characteristics of Giant Red Shrimp (GRS) (Aristaeomorpha foliacea) was studied during 12-month storage. In particular, the quality characteristics determined proximal and gas compositions, melanosis scores, pH, total volatile basic-nitrogen (TVB-N), thiobarbituric acid (TBA) as well as free amino acid (FAA). In addition, the emergent data were compared to those subject to vacuum packaging as well as conventional preservative method of sulphite treatment (SUL). Most determined qualities exhibited quantitative differences with storage. By comparisons, while pH and TVB-N sta…

0301 basic medicinePreservativeVacuumThiobarbituric acidNitrogenFood storageAristaeomorpha foliaceaModified atmosphere packagingVacuum packingAnalytical Chemistry03 medical and health scienceschemistry.chemical_compound0404 agricultural biotechnologyPenaeidaeSettore AGR/20 - ZoocoltureFood PreservationFreezingAnimalsFood scienceMelanosiSettore BIO/06 - Anatomia Comparata E CitologiaShellfish030109 nutrition & dieteticsSub-zero temperatureChemistryAtmosphereFood preservationFood Packaging04 agricultural and veterinary sciencesGeneral MedicineQuality attributeConventional preservative method040401 food scienceShrimpFood packagingFood StorageModified atmosphereFood ScienceFood chemistry
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GSaaS: A Service to Cloudify and Schedule GPUs

2018

Cloud technology is an attractive infrastructure solution that provides customers with an almost unlimited on-demand computational capacity using a pay-per-use approach, and allows data centers to increase their energy and economic savings by adopting a virtualized resource sharing model. However, resources such as graphics processing units (GPUs), have not been fully adapted to this model. Although, general-purpose computing on graphics processing units (GPGPU) is becoming more and more popular, cloud providers lack of flexibility to manage accelerators, because of the extended use of peripheral component interconnect (PCI) passthrough techniques to attach GPUs to virtual machines (VMs). F…

0301 basic medicineScheduleGeneral Computer ScienceComputer scienceDistributed computingnetworkingCloud computing02 engineering and technologycomputer.software_genre03 medical and health sciencesGPU resource management020204 information systems0202 electrical engineering electronic engineering information engineeringCloud computingGeneral Materials ScienceResource managementplatform virtualizationbusiness.industrycloud computingGeneral EngineeringVirtualizationShared resource030104 developmental biologyVirtual machineScalabilityGPU cloudificationlcsh:Electrical engineering. Electronics. Nuclear engineeringGeneral-purpose computing on graphics processing unitsbusinesscomputerlcsh:TK1-9971IEEE Access
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panISa: ab initio detection of insertion sequences in bacterial genomes from short read sequence data.

2018

Abstract Motivation The advent of next-generation sequencing has boosted the analysis of bacterial genome evolution. Insertion sequence (IS) elements play a key role in prokaryotic genome organization and evolution, but their repetitions in genomes complicate their detection from short-read data. Results PanISa is a software pipeline that identifies IS insertions ab initio in bacterial genomes from short-read data. It is a highly sensitive and precise tool based on the detection of read-mapping patterns at the insertion site. PanISa performs better than existing IS detection systems as it is based on a database-free approach. We applied it to a high-risk clone lineage of the pathogenic spec…

0301 basic medicineStatistics and ProbabilityLineage (genetic)Computer scienceAb initioComputational biologyBacterial genome size[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiochemistryGenome[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Insertion sequenceMolecular BiologyGenomic organizationHigh-Throughput Nucleotide SequencingSequence Analysis DNA[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyPipeline (software)[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]DNA Transposable Elements[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Genome BacterialSoftwareBioinformatics (Oxford, England)
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MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems

2016

This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of recordJorge González-Domínguez, Yongchao Liu, Juan Touriño, Bertil Schmidt; MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems, Bioinformatics, Volume 32, Issue 24, 15 December 2016, Pages 3826–3828, https://doi.org/10.1093/bioinformatics/btw558is available online at: https://doi.org/10.1093/bioinformatics/btw558 [Abstracts] MSAProbs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models. It can achieve high alignment accuracy at the expense of relatively long runtimes for large-sca…

0301 basic medicineStatistics and ProbabilitySource codeComputer sciencemedia_common.quotation_subject02 engineering and technologyParallel computingcomputer.software_genreBiochemistryExecution time03 medical and health sciences0202 electrical engineering electronic engineering information engineeringCluster (physics)Point (geometry)Amino Acid SequenceMolecular Biologymedia_commonSequenceMultiple sequence alignmentProtein multiple sequenceComputational BiologyProteinsMarkov ChainsComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsDistributed memory systemsMSAProbs020201 artificial intelligence & image processingMPIData miningSequence AlignmentcomputerAlgorithmsSoftware
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Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

0301 basic medicineStatistics and ProbabilitySource codeTheoretical computer scienceRetroelementsmedia_common.quotation_subjectRetrotransposon[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBiochemistryGenomeChromosomesBranching (linguistics)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SoftwareAnimalsComputer SimulationMolecular BiologyComputingMilieux_MISCELLANEOUSmedia_commoncomputer.programming_languageGeneticsGenomeModels Geneticbusiness.industry[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Python (programming language)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyDrosophila melanogasterComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Programming Languages[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Mobile genetic elements[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerSoftware
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