Search results for "FINGER"

showing 10 items of 400 documents

Sampling strategy in molecular microbial ecology: influence of soil sample size on DNA fingerprinting analysis of fungal and bacterial communities.

2003

Assessing soil microbial community structure by the use of molecular techniques requires a satisfactory sampling strategy that takes into account the high microbial diversity and the heterogeneous distribution of microorganisms in the soil matrix. The influence of the sample size of three different soil types (sand, silt and clay soils) on the DNA yield and analysis of bacterial and fungal community structure were investigated. Six sample sizes from 0.125 g to 4 g were evaluated. The genetic community structure was assessed by automated ribosomal intergenic spacer analysis (A-RISA fingerprint). Variations between bacterial (B-ARISA) and fungal (F-ARISA) community structure were quantified b…

Soil testRibosomal Intergenic Spacer analysisSoil scienceBiologyMicrobiologyPolymerase Chain Reaction03 medical and health sciencesSoilMicrobial ecologyBotanyDNA Ribosomal SpacerBiomass[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSSoil Microbiology030304 developmental biology2. Zero hunger0303 health sciencesPrincipal Component AnalysisPolymorphism GeneticBacteriaEcology030306 microbiologyCommunity structureFungiSoil classificationDNA15. Life on landBIOLOGIE MOLECULAIRESoil typeDNA Fingerprinting[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial population biologySoil waterElectrophoresis Polyacrylamide GelEnvironmental microbiology
researchProduct

Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint

2020

The potential of nondestructive prediction of egg freshness based on near-infrared (NIR) spectra fingerprints would be beneficial to quality control officers and consumers alike. In this study, handheld NIR spectrometer in the range of 740 nm to 1070 nm and chemometrics were used to simultaneously determine egg freshness based on marked date of lay for eggs stored under cold and ambient conditions. The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA). Linear discriminant analysis (LDA) was used to build identification model to predict the category of freshness, while partial least square regression (PLS-R) wa…

SpectrometerArticle Subjectbusiness.industry010401 analytical chemistry0402 animal and dairy scienceCold storagePattern recognitionQC350-46704 agricultural and veterinary sciencesOptics. LightLinear discriminant analysis040201 dairy & animal science01 natural sciencesAtomic and Molecular Physics and Optics0104 chemical sciencesAnalytical ChemistryChemometricsFingerprintPartial least squares regressionPrincipal component analysisCalibrationArtificial intelligencebusinessSpectroscopyMathematicsJournal of Spectroscopy
researchProduct

Soil REE patterns as tracers of the emplacement of metal-rich anthropogenic materials. A case study in Moa (Cuba)

2019

Purpose: Are rare earth element (REE) patterns employable as tracers in human interventions of bulk soil disturbances, when high concentrations of metals are involved in the in situ soil disturbance? In terms of bulk soil disturbance, it is difficult to distinguish between bulk soil disturbances and emplacement of new earthen material. Chemical fingerprinting, in particular REE plus yttrium, is applied across many fields, but predominantlyin tracking the sources of potential environmental contaminants. Materials and methods: The REE normalised patterns (HNO 3 :HF:HCl 3:1:1 digestion, ICP-MS) of two Calcaric Cambisols were compared with those of a Geric Ferralsol (Novic, Technic) originated …

StratigraphySettore AGR/13 - Chimica AgrariaBulk soilchemistry.chemical_elementSoil science010501 environmental sciences01 natural sciencesMiningSoil disturbance0105 earth and related environmental sciencesEarth-Surface ProcessesRare-earth elementAnomaly (natural sciences)Continental crust04 agricultural and veterinary sciencesYttriumOverburdenchemistryLanthanoidSettore AGR/14 - PedologiaEarth-Surface ProcesseYLOIDSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceREYChemical fingerprintingJournal of Soils and Sediments
researchProduct

A convolutional neural network for virtual screening of molecular fingerprints

2019

In the last few years, Deep Learning (DL) gained more and more impact on drug design because it allows a huge increase of the prediction accuracy in many stages of such a complex process. In this paper a Virtual Screening (VS) procedure based on Convolutional Neural Networks (CNN) is presented, that is aimed at classifying a set of candidate compounds as regards their biological activity on a particular target protein. The model has been trained on a dataset of active/inactive compounds with respect to the Cyclin-Dependent Kinase 1 (CDK1) a very important protein family, which is heavily involved in regulating the cell cycle. One qualifying point of the proposed approach is the use of molec…

Structure (mathematical logic)0303 health sciencesVirtual screening010304 chemical physicsPoint (typography)Computer sciencebusiness.industryDeep learningProcess (computing)Pattern recognition01 natural sciencesConvolutional neural networkDrug designSet (abstract data type)03 medical and health sciencesDeep LearningVirtual Screening0103 physical sciencesMolecular fingerprintsEmbeddingArtificial intelligencebusinessBioactivity prediction030304 developmental biology
researchProduct

"Towards a "fingerprint" of paper network; separating forgeries from genuine by the properties of fibre structure"

2014

A novel method is introduced for distinguishing counterfeit banknotes from genuine samples. The method is based on analyzing differences in the networks of paper fibers. The main tool is a curvelet-based algorithm for measuring the distribution of overall fiber orientation and quantifying its anisotropy. The use of a couple or more appropriate parameters makes it possible to distinguish forgeries from genuine samples as concentrated point clouds in a two- or three-dimensional parameter space. Furthermore, the techniques of making watermarks is investigated by comparing genuine and counterfeit €50 banknotes. In addition, the so-called wire markings are shown to differ significantly from each…

Structure (mathematical logic)Engineeringta114business.industryFiber orientationPoint cloudFingerprint recognitionCounterfeitFingerprintCurveletComputer visionArtificial intelligencebusinessta216Digital watermarking
researchProduct

Biomechanical comparison between the modified rolling-hitch and the modified finger-trap suture techniques

2016

Purpose: The purpose of this study was to characterize the biomechanical effect of two grasping suture techniques used during ligament reconstruction: the modified rolling-hitch (MRH) and the modified finger-trap (MFT). Methods: Flexor profundus tendons were harvested from fresh pig hind-leg trotters. Each specimen was mounted on an electro-mechanic universal testing machine (Instron 3367). In half of all tendons (15 specimens), the suture was passed around the tendon following the MRH knot (Group 1). In the remaining half of all tendons (15 specimens), the suture was passed over a distance of 30 mm according to the MFT suture technique (Group 2). As per standard intra-operative technique, …

SwineTendons03 medical and health sciences0302 clinical medicineSuture (anatomy)Finger InjuriesSettore MED/33 - Malattie Apparato LocomotoremedicineAnimalsOrthopedics and Sports MedicineOrthodontics030222 orthopedicsUniversal testing machineSuturesbusiness.industrySuture TechniquesSignificant differenceStiffness030229 sport sciencesGeneral MedicinePlastic Surgery ProceduresTendonmedicine.anatomical_structureLigamentSurgerymedicine.symptomMFT modified finger-trap grasping suture tendon suture suture ligament reconstructionbusinessArchives of Orthopaedic and Trauma Surgery
researchProduct

"Master-Slave" Biological Network Alignment

2010

Performing global alignment between protein-protein interaction (PPI) networks of different organisms is important to infer knowledge about conservation across species. Known methods that perform this task operate symmetrically, that is to say, they do not assign a distinct role to the input PPI networks. However, in most cases, the input networks are indeed distinguishable on the basis of how well the corresponding organism is biologically well-characterized. For well-characterized organisms the associated PPI network supposedly encode in a sound manner all the information about their proteins and associated interactions, which is far from being the case for not well characterized ones. He…

Theoretical computer scienceBasis (linear algebra)business.industryComputer scienceFingerprint (computing)Process (computing)Master/slaveENCODETask (computing)Bioinformatics network analysisArtificial intelligencebusinessBiological networkOrganism
researchProduct

Asymmetric Comparison and Querying of Biological Networks

2011

Comparing and querying the protein-protein interaction (PPI) networks of different organisms is important to infer knowledge about conservation across species. Known methods that perform these tasks operate symmetrically, i.e., they do not assign a distinct role to the input PPI networks. However, in most cases, the input networks are indeed distinguishable on the basis of how the corresponding organism is biologically well characterized. In this paper a new idea is developed, that is, to exploit differences in the characterization of organisms at hand in order to devise methods for comparing their PPI networks. We use the PPI network (called Master) of the best characterized organism as a …

Theoretical computer scienceFinite-state machineMatching (graph theory)Computer scienceApplied MathematicsFingerprint (computing)Process (computing)Computational BiologyViterbi algorithmModels BiologicalAutomatonBioinformatics network analysissymbols.namesakeSequence Analysis ProteinLinearizationProtein Interaction MappingGeneticssymbolsProtein Interaction Domains and MotifsSequence AlignmentAlgorithmsBiological networkBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
researchProduct

Transcriptional Activity and Nuclear Localization of Cabut, the Drosophila Ortholog of Vertebrate TGF-β-Inducible Early-Response Gene (TIEG) Proteins

2011

Background Cabut (Cbt) is a C2H2-class zinc finger transcription factor involved in embryonic dorsal closure, epithelial regeneration and other developmental processes in Drosophila melanogaster. Cbt orthologs have been identified in other Drosophila species and insects as well as in vertebrates. Indeed, Cbt is the Drosophila ortholog of the group of vertebrate proteins encoded by the TGF-s-inducible early-response genes (TIEGs), which belong to Sp1-like/Kruppel-like family of transcription factors. Several functional domains involved in transcriptional control and subcellular localization have been identified in the vertebrate TIEGs. However, little is known of whether these domains and fu…

Transcription GeneticNuclear Localization SignalsActive Transport Cell Nucleuslcsh:MedicineGene ExpressionBiochemistrybehavioral disciplines and activities03 medical and health sciencesModel Organisms0302 clinical medicineTransforming Growth Factor betaMolecular Cell Biologymental disordersGeneticsTranscriptional regulationAnimalsDrosophila Proteinslcsh:ScienceBiology030304 developmental biologyGeneticsZinc finger transcription factor0303 health sciencesMultidisciplinarybiologySchneider 2 cellslcsh:RfungiProteinsAnimal Modelsbiology.organism_classificationFusion proteinCellular StructuresDorsal closure3. Good healthRepressor ProteinsDrosophila melanogasterGene Expression RegulationVertebrateslcsh:QDrosophila melanogaster030217 neurology & neurosurgeryDrosophila ProteinNuclear localization sequenceTranscription FactorsResearch ArticleDevelopmental BiologyPLoS ONE
researchProduct

Convolutional architectures for virtual screening

2020

Abstract Background A Virtual Screening algorithm has to adapt to the different stages of this process. Early screening needs to ensure that all bioactive compounds are ranked in the first positions despite of the number of false positives, while a second screening round is aimed at increasing the prediction accuracy. Results A novel CNN architecture is presented to this aim, which predicts bioactivity of candidate compounds on CDK1 using a combination of molecular fingerprints as their vector representation, and has been trained suitably to achieve good results as regards both enrichment factor and accuracy in different screening modes (98.55% accuracy in active-only selection, and 98.88% …

Virtual screeningComputer sciencelcsh:Computer applications to medicine. Medical informaticsMachine learningcomputer.software_genre01 natural sciencesBiochemistryDrug design03 medical and health sciencesUser-Computer InterfaceStructural Biology0103 physical sciencesRepresentation (mathematics)lcsh:QH301-705.5Molecular BiologyBioactivity predictionSelection (genetic algorithm)030304 developmental biologySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesVirtual screening010304 chemical physicsbusiness.industryApplied MathematicsResearchProcess (computing)Deep learningComputer Science Applicationslcsh:Biology (General)Molecular fingerprintslcsh:R858-859.7Artificial intelligenceDNA microarraybusinesscomputerAlgorithmsBMC Bioinformatics
researchProduct