Search results for "Map"

showing 10 items of 3484 documents

Documenting carved stones from 3D models. Part II - Ambient occlusion to reveal carved parts.

2021

10 pages; International audience; Revealing carved parts in rock art is of primary importance and remains a major challenge for archaeological documentation. Computational geometry applied to 3D imaging provides a unique opportunity to document rock art. This study evaluates five algorithms and derivatives used to compute ambient occlusion and sky visibility on 3D models of Mongolian stelae, also known as deer stones. By contrast with the previous companion work, models are processed directly in 3D, without preliminary projection. Volumetric obscurance gives the best results for the identification of carved figures. The effects of model resolution and parameters specific to ambient occlusio…

Archeology[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyConservationDocumentation01 natural sciencesSoftwareComputer graphics (images)Rock artVolumetric obscuranceProjection (set theory)Deer stoneSpectroscopyComputingMethodologies_COMPUTERGRAPHICSbusiness.industry010401 analytical chemistryVisibility (geometry)Mongolia021001 nanoscience & nanotechnologyComputational geometry0104 chemical sciencesIdentification (information)ArchaeologyChemistry (miscellaneous)Late bronze ageAmbient occlusionRock art0210 nano-technologyScale (map)businessGeneral Economics Econometrics and Finance
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Mapping child maltreatment risk: a 12-year spatio-temporal analysis of neighborhood influences.

2017

Abstract Background ‘Place’ matters in understanding prevalence variations and inequalities in child maltreatment risk. However, most studies examining ecological variations in child maltreatment risk fail to take into account the implications of the spatial and temporal dimensions of neighborhoods. In this study, we conduct a high-resolution small-area study to analyze the influence of neighborhood characteristics on the spatio-temporal epidemiology of child maltreatment risk. Methods We conducted a 12-year (2004–2015) small-area Bayesian spatio-temporal epidemiological study with all families with child maltreatment protection measures in the city of Valencia, Spain. As neighborhood units…

Area-specific risk estimationTime FactorsGeneral Computer ScienceHealth geographyPoison controlNeighborhood influenceslcsh:Computer applications to medicine. Medical informaticsSuicide preventionOccupational safety and health03 medical and health sciences0302 clinical medicineSpatio-Temporal AnalysisResidence CharacteristicsRisk FactorsEnvironmental healthInjury preventionHumans0501 psychology and cognitive sciences030212 general & internal medicineChild AbuseChildSocioeconomic statusChild maltreatmentResearch05 social sciencesPublic Health Environmental and Occupational HealthAbsolute risk reductionHuman factors and ergonomicsSmall-area studyGeneral Business Management and AccountingSocial ClassSocioeconomic FactorsSpainlcsh:R858-859.7Disease mappingSpatial inequalityBayesian spatio-temporal modelingPsychology050104 developmental & child psychologyInternational journal of health geographics
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Enhancer trap infidelity in Drosophila optomotor-blind

2013

Reporter gene activity in enhancer trap lines is often implicitly assumed to mirror quite faithfully the endogenous expression of the "trapped" gene, even though there are numerous examples of enhancer trap infidelity. optomotor-blind (omb) is a 160 kb gene in which 16 independent P-element enhancer trap insertions of three different types have been mapped in a range of more than 60 kb. We have determined the expression pattern of these elements in wing, eye-antennal and leg imaginal discs as well as in the pupal tergites. We noted that one pGawB insertion (omb (P4) ) selectively failed to report parts of the omb pattern even though the missing pattern elements were apparent in all other 15…

Arthropod AntennaeNerve Tissue ProteinsEyeGenes ReporterEnhancer trapAnimalsDrosophila ProteinsWings AnimalDrosophila (subgenus)EnhancerPromoter Regions GeneticGeneGeneticsReporter genebiologyPupaChromosome MappingPromoterExtremitiesbiology.organism_classificationImaginal discMutagenesis InsertionalEnhancer Elements GeneticImaginal DiscsInsect ScienceDrosophilaT-Box Domain ProteinsDrosophila ProteinResearch Paper
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Determinants and Congruence of Species Richness Patterns across Multiple Taxonomic Groups on a Regional Scale

2012

Applying multiple generalized regression models, we studied spatial patterns in species richness for different taxonomic groups (amphibians, reptiles, grasshoppers, plants, mosses) within the German federal state Rhineland-Palatinate (RP). We aimed (1) to detect their centres of richness, (2) to rate the influence of climatic and land-use parameters on spatial patterns, and (3) to test whether patterns are congruent between taxonomic groups in RP. Centres of species richness differed between taxonomic groups and overall richness was the highest in the valleys of large rivers and in different areas of southern RP. Climatic parameters strongly correlated with richness in all taxa whereas land…

Article SubjectEcologySpecies diversityRegression analysisBody size and species richnessBiologyTaxonlcsh:ZoologySpatial ecologyAnimal Science and ZoologySpecies richnessTaxonomic ranklcsh:QL1-991Scale (map)International Journal of Zoology
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Methodological advances in brain connectivity

2012

Determining how distinct neurons or brain regions are connected and communicate with each other is a crucial point in neuroscience, as it allows to investigate how the functional integration of specialized neural populations enables the emergence of coherent cognitive and behavioral states. The general concept of brain connectivity encompasses different aspects: structural connectivity is related to the description of anatomical pathways and synaptic connections; functional connectivity investigates statistical dependencies between spatially separated brain regions; effective connectivity refers to models aimed at elucidating driver-response relationships. The study of these different modes…

Article SubjectImmunology and Microbiology (all)Computer scienceModels NeurologicalNeurophysiologyElectroencephalographylcsh:Computer applications to medicine. Medical informaticsMachine learningcomputer.software_genreModels BiologicalBrain mappingGeneral Biochemistry Genetics and Molecular BiologySynchronization (computer science)medicineHumansNeuronsConnectivityBrain MappingComputational modelBiochemistry Genetics and Molecular Biology (all)Quantitative Biology::Neurons and CognitionGeneral Immunology and MicrobiologyArtificial neural networkFunctional integration (neurobiology)medicine.diagnostic_testbusiness.industryModeling and Simulation; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Applied MathematicsApplied MathematicsBrainComputational BiologyMagnetoencephalographyElectroencephalographyGeneral MedicineMagnetoencephalographyEditorialModeling and SimulationMultivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E Informaticalcsh:R858-859.7Transfer entropyArtificial intelligenceNetworksbusinesscomputerSoftware
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Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a small sicilian catchment

2012

Artificial Neural Network Landslide Susceptibility MappingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
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Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature

2020

Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated attacks. To support this, both researchers and practitioners need to be familiar with current methods of ensuring cybersecurity (CyberSec). In particular, the use of artificial intelligence for combating cybercrimes. However, there is lack of summaries on artificial intelligent methods for combating cybercrimes. To address this knowledge gap, this study sampled 131 articles from two main scholarly databases (ACM digital library and IEEE…

Artificial intelligence and cybersecuritycybersecurityGeneral Computer ScienceComputer scienceinformation securitysystematic reviewsprotocols02 engineering and technologyIntrusion detection systemtekoälyComputer securitycomputer.software_genre01 natural sciencesDomain (software engineering)systematic reviewGeneral Materials Sciencekirjallisuuskatsauksettietoturvakyberturvallisuussystemaattiset kirjallisuuskatsauksettietoverkkorikoksetkyberrikollisuusbusiness.industry010401 analytical chemistryGeneral Engineeringartificial intelligence021001 nanoscience & nanotechnology0104 chemical sciencesSupport vector machinekoneoppiminenmachine learningcomputer crimeArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringSystematic mappingIntrusion prevention system0210 nano-technologybusinesscomputerlcsh:TK1-9971Qualitative researchIEEE Access
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Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

2016

The choice of the proper resolution in landslide susceptibility mapping is a worth considering issue. If, on the one hand, a coarse spatial resolution may describe the terrain morphologic properties with low accuracy, on the other hand, at very fine resolutions, some of the DEM-derived morphometric factors may hold an excess of details. Moreover, the landslide inventory maps are represented throughout geospatial vector data structure, therefore a conversion procedure vector-to-raster is required.This work investigates the effects of raster resolution on the susceptibility mapping in conjunction with the use of different algorithms of vector-raster conversion. The Artificial Neural Network t…

Artificial neural networkResamplingEnvironmental EngineeringGeospatial analysis010504 meteorology & atmospheric sciencesComputer scienceArtificial neural network; Grid-cell size; Landslide susceptibility mapping; Resampling; Vector-to-raster conversion; Ecological Modeling; Environmental Engineering; Software0208 environmental biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTerrain02 engineering and technologycomputer.software_genre01 natural sciencesArray data structureGrid-cell sizeImage resolutionLandslide susceptibility mapping0105 earth and related environmental sciencesArtificial neural networkEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVector-to-raster conversionLandslidecomputer.file_format020801 environmental engineeringPolygonRaster graphicscomputerAlgorithmSoftwareEnvironmental Modelling & Software
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Four Remarkable Additions to the Biodiversity of Chinese Mosses

2022

Four species of moss genus Schistidium are reported for the first time from China. All of them have been found in the Xinjiang Uyghur Autonomous Region. Ecological and distributional details of the newly recorded species are provided and their local distribution is mapped. Photographs of the species are attached. Checklist of Schistidium species and identifying key are added. Considering the present records, Schistidium consists of 15 species in China.

AsiaEcologychecklist; identifying keyphytogeographydistribution mapsbryophytes; ChinaXinjiang Uyghur Autonomous RegionMusciPlant ScienceSchistidiumAsia; bryophytes; China; distribution maps; Musci; phytogeography; <i>Schistidium</i>; Xinjiang Uyghur Autonomous Region; checklist; identifying keyEcology Evolution Behavior and SystematicsPlants
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In silico and in vitro comparative analysis to select, validate and test SNPs for human identification.

2007

Abstract Background The recent advances in human genetics have recently provided new insights into phenotypic variation and genome variability. Current forensic DNA techniques involve the search for genetic similarities and differences between biological samples. Consequently the selection of ideal genomic biomarkers for human identification is crucial in order to ensure the highest stability and reproducibility of results. Results In the present study, we selected and validated 24 SNPs which are useful in human identification in 1,040 unrelated samples originating from three different populations (Italian, Benin Gulf and Mongolian). A Rigorous in silico selection of these markers provided …

Asialcsh:QH426-470lcsh:BiotechnologyIn silicoPolymorphism Single Nucleotide; Heterozygote Detection; Gene Frequency; Humans; Africa; Europe; Computational Biology; Sequence Analysis DNA; Forensic Anthropology; Asia; Chromosome MappingSingle-nucleotide polymorphismBiologyHeterozygote DetectionGenomePolymorphism Single NucleotideGene Frequencylcsh:TP248.13-248.65GeneticsHumansPolymorphismAllele frequencySelection (genetic algorithm)GeneticsGenetic Carrier ScreeningChromosome MappingComputational BiologySingle NucleotideDNASequence Analysis DNAHuman geneticsEuropelcsh:GeneticsSettore MED/03 - Genetica MedicaAfricaSNPs HUMAN IDENTIFICATION comparative analysisForensic AnthropologyHuman genomeDNA microarraySequence AnalysisBiotechnologyResearch ArticleBMC genomics
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