Search results for "EURA"

showing 10 items of 3336 documents

Perineural Invasion is a Strong Prognostic Moderator in Ampulla of Vater Carcinoma

2018

Objective Ampulla of Vater carcinoma (AVC) has a broad spectrum of different prognoses. As such, new moderators of survival are urgently needed. We aimed at clarifying the prognostic role of perineural invasion in AVC. Methods Using PubMed and SCOPUS databases, we conducted the first systematic review and meta-analysis on this topic. Results Analyzing 29 articles for a total of 2379 patients, we found that the presence of perineural invasion increased the risk of all-cause mortality more than 2 times (relative risk [RR], 2.07; 95% confidence interval [CI], 1.78-2.42 [P < 0.0001]; hazard ratio [HR], 2.72; 95% CI, 1.86-3.97 [P < 0.0001]), of cancer-specific mortality more than 6 times (…

Ampulla of Vatermedicine.medical_specialtyEndocrinology Diabetes and MetabolismPNIPerineural invasionPerineumGastroenterology03 medical and health sciencesBroad spectrum0302 clinical medicineEndocrinologypapilla PNI perineural VaterRisk FactorsInternal medicineInternal MedicinemedicineCarcinomaHumansNeoplasm InvasivenessVaterpapillaHepatologybusiness.industryHazard ratioAmpulla of VaterPrognosismedicine.diseaseConfidence intervalPancreatic Neoplasmsmedicine.anatomical_structure030220 oncology & carcinogenesisRelative riskMeta-analysisperineural030211 gastroenterology & hepatologyNeoplasm Recurrence LocalbusinessCarcinoma Pancreatic DuctalPancreas
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Polar bosons in one-dimensional disordered optical lattices

2013

We analyze the effects of disorder and quasi-disorder on the ground-state properties of ultra-cold polar bosons in optical lattices. We show that the interplay between disorder and inter-site interactions leads to rich phase diagrams. A uniform disorder leads to a Haldane-insulator phase with finite parity order, whereas the density-wave phase becomes a Bose-glass at very weak disorder. For quasi-disorder, the Haldane insulator connects with a gapped generalized incommesurate density wave without an intermediate critical region.

Anderson localization[PHYS.COND.GAS]Physics [physics]/Condensed Matter [cond-mat]/Quantum Gases [cond-mat.quant-gas]PACS : 67.85.-d 05.30.Jp 61.44.Fw 75.10.PqFOS: Physical sciences01 natural sciencesCondensed Matter::Disordered Systems and Neural NetworksUltracold atoms010305 fluids & plasmasDensity wave theoryCondensed Matter - Strongly Correlated ElectronsUltracold atomQuantum mechanics0103 physical sciencesAnderson localization010306 general physicsBosonPhase diagramPhysicsCondensed Matter::Quantum Gasesdipolar interactionsCondensed matter physicsStrongly Correlated Electrons (cond-mat.str-el)Parity (physics)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAubry-André transitionCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsQuantum Gases (cond-mat.quant-gas)PolarCondensed Matter::Strongly Correlated ElectronsCondensed Matter - Quantum Gases
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Machine Learning-Based Classification of Vector Vortex Beams.

2020

Structured light is attracting significant attention for its diverse applications in both classical and quantum optics. The so-called vector vortex beams display peculiar properties in both contexts due to the non-trivial correlations between optical polarization and orbital angular momentum. Here we demonstrate a new, flexible experimental approach to the classification of vortex vector beams. We first describe a platform for generating arbitrary complex vector vortex beams inspired to photonic quantum walks. We then exploit recent machine learning methods -- namely convolutional neural networks and principal component analysis -- to recognize and classify specific polarization patterns. O…

Angular momentumComputer sciencequantum opticquanutm informationphotonicsPrincipal component analysisGeneral Physics and AstronomyFOS: Physical sciencesMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networkSettore FIS/03 - Fisica Della Materiaquant-phPolarization0103 physical sciencesQuantum walk010306 general physicsQuantum opticsorbital angular momentum; machine learning; vector vortex beamsQuantum PhysicsQuantum opticsbusiness.industryVortex flowOptical polarizationVectorsVortexmachine learningConvolutional neural networksArtificial intelligencePhotonicsbusinessQuantum Physics (quant-ph)computerStructured lightPhysical review letters
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Amnesia and the hippocampus

2006

PURPOSE OF REVIEW: Long-term memory impairments have great medical significance and a considerable health and economic burden. Understanding their cognitive and neuroanatomical underpinnings is of crucial importance. Severe amnesia is usually observed following bilateral hippocampal pathology. This review addresses the precise role of the hippocampus and related medial temporal lobe structures in amnesia. RECENT FINDINGS: Disagreements exist over whether, following selective hippocampal damage: retrograde amnesia for episodic memories is temporally limited or extensive and ungraded; anterograde amnesia involves both recollective and familiarity processes. It is accepted that material specif…

Anterograde amnesiaHippocampusAmnesiaHippocampusTemporal lobeMemoryNeural PathwaysmedicineAnimalsHumansLearningSelective amnesiaAnterograde amnesia Hippocampus Memory Recollection and familiarity Retrograde amnesia Topographical amnesiaEpisodic memoryNootropic AgentsSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaRetrograde amnesiaAmnesia Anterogrademedicine.diseaseNeurologyParahippocampal GyrusAmnesia RetrogradeMemory consolidationAmnesiaNeurology (clinical)medicine.symptomPsychologyNeuroscienceCognitive psychology
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Embryonic neural cell adhesion molecules on human natural killer cells

1989

The neural cell adhesion molecules (NCAM) are surface glycoproteins that were first described in brain tissue. NCAM mediate adhesion in a variety of cell-cell interactions. In the present study we show that the so-called "embryonic" NCAM, i.e., the highly polysialylated forms of these proteins, are expressed on natural killer cells and some CD3+ cells in man. Homotypic binding of NCAM, believed to be of importance for cell-cell adhesion in neural tissues, appears not to be essential for NK cell-mediated killing. Yet, NCAM might be involved in NK cell migration, homing or related functions.

Antigens Differentiation T-LymphocyteCD3 ComplexCell Adhesion Molecules NeuronalT-LymphocytesCD3Blotting WesternImmunologyReceptors Antigen T-CellChromatography AffinityNatural killer cellCell–cell interactionmedicineHumansImmunology and AllergybiologyCell adhesion moleculeAntibodies MonoclonalCell migrationFlow CytometryPrecipitin TestsMolecular biologyEmbryonic stem cellCell biologyKiller Cells Naturalmedicine.anatomical_structurenervous systembiology.proteinNeural cell adhesion moleculeHoming (hematopoietic)European Journal of Immunology
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Solvent-free microwave-assisted extraction of polyphenols from olive tree leaves: Antioxidant and antimicrobial properties

2017

International audience; Response surface methodology (RSM) and artificial neural networks (ANN) were evaluated and compared in order to decide which method was the most appropriate to predict and optimize total phenolic content (TPC) and oleuropein yields in olive tree leaf (Olea europaea) extracts, obtained after solvent-free microwave- assisted extraction (SFMAE). The SFMAE processing conditions were: microwave irradiation power 250-350 W, extraction time 2-3 min, and the amount of sample 5-10 g. Furthermore, the antioxidant and antimicrobial activities of the olive leaf extracts, obtained under optimal extraction conditions, were assessed by several in vitro assays. ANN had better predic…

Antioxidantmedicine.medical_treatment[SDV]Life Sciences [q-bio]Pharmaceutical ScienceAntioxidantsAnalytical Chemistrychemistry.chemical_compoundDrug Discovery[SDV.IDA]Life Sciences [q-bio]/Food engineeringAntimicrobial; Antioxidant; Oleuropein; Olive leaves; Optimization; Solvent-free microwave extraction; Organic ChemistryOlive leavesMicrowaves04 agricultural and veterinary sciences040401 food scienceAnti-Bacterial AgentsChemistry (miscellaneous)Molecular MedicineAntioxidantAntibacterial activityOptimizationStaphylococcus aureusMicrobial Sensitivity TestsArticlelcsh:QD241-4410404 agricultural biotechnologyOlive leaflcsh:Organic chemistryOleuropeinOleaStaphylococcus epidermidismedicine[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringResponse surface methodologyPhysical and Theoretical ChemistryOleuropeinolive leaves; solvent-free microwave extraction; oleuropein; antioxidant; antimicrobial; optimizationChromatographyPlant ExtractsExtraction (chemistry)Organic ChemistryPolyphenolsolive leaves;solvent-free microwave extraction;oleuropein;antioxidant;antimicrobial;optimizationPlant LeaveschemistryPolyphenolYield (chemistry)Solvent-free microwave extractionSolventsAntimicrobialNeural Networks Computer
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Comparative study to predict toxic modes of action of phenols from molecular structures.

2013

Quantitative structure-activity relationship models for the prediction of mode of toxic action (MOA) of 221 phenols to the ciliated protozoan Tetrahymena pyriformis using atom-based quadratic indices are reported. The phenols represent a variety of MOAs including polar narcotics, weak acid respiratory uncouplers, pro-electrophiles and soft electrophiles. Linear discriminant analysis (LDA), and four machine learning techniques (ML), namely k-nearest neighbours (k-NN), support vector machine (SVM), classification trees (CTs) and artificial neural networks (ANNs), have been used to develop several models with higher accuracies and predictive capabilities for distinguishing between four MOAs. M…

Antiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringMachine learningcomputer.software_genreConstant false alarm ratePhenolsArtificial IntelligenceDrug DiscoveryTraining setModels StatisticalArtificial neural networkCiliated protozoanMolecular StructureChemistrybusiness.industryTetrahymena pyriformisGeneral MedicineLinear discriminant analysisSupport vector machineTest setTetrahymena pyriformisMolecular MedicineArtificial intelligenceNeural Networks ComputerBiological systembusinesscomputerSAR and QSAR in environmental research
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2016

Background Transcatheter aortic valve implantation (TAVI) has become the treatment of choice in patients with severe aortic valve stenosis who are not eligible for operative replacement and an alternative for those with high surgical risk. Due to high age and smoking history in a high proportion of TAVI patients, suspicious findings are frequently observed in pre-procedural chest computer tomography (CCT).

Aortic valvemedicine.medical_specialtySolitary pulmonary noduleMultidisciplinarybusiness.industryPleural effusionIncidence (epidemiology)Stroke volume030204 cardiovascular system & hematologymedicine.diseaseSurgery03 medical and health sciencesStenosis0302 clinical medicinemedicine.anatomical_structureAortic valve stenosisMedicine030212 general & internal medicineRadiologybusinessThoracic NeoplasmPLOS ONE
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The apolipoprotein(a) moiety of lipoprotein(a) interacts with the complement activation fragment iC3b but does not functionally affect C3 activation …

1992

A previous study has shown that complement component C3 binds to recombinant apolipoprotein(a) (r-apo(a)). In the present report we have investigated the interactions between lipoprotein(a) (Lp(a)), r-apo(a) and C3 in relation to complement activation and degradation. Neither Lp(a) nor r-apo(a) affected complement activation as indicated by sheep and rabbit red blood cell hemolytic assays, and by assessment of the amount of C3a generated in zymosan-activated human serum in the presence or absence of Lp(a). Crossed immunoelectrophoretic analyses indicated that Lp(a) retarded the migration of iC3b in complement-activated serum but had no effects on C3, C3b, C3c or C3dg. Recombinant apo(a) exh…

Apolipoprotein BLipoproteinsApoprotein(a)chemistry.chemical_compoundHumansComplement ActivationbiologyComplement C3Lipoprotein(a)N-Acetylneuraminic AcidComplement systemSialic acidApolipoproteinsBiochemistrychemistryLow-density lipoproteinComplement C3bSialic Acidsbiology.proteiniC3bElectrophoresis Polyacrylamide Gellipids (amino acids peptides and proteins)Cardiology and Cardiovascular MedicineImmunoelectrophoresis Two-DimensionalN-Acetylneuraminic acidLipoprotein(a)LipoproteinAtherosclerosis
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Development of handcrafted and deep based methods for face and facial expression recognition

2021

The research objectives of this thesis concern the development of new concepts for image segmentation and region classification for image analysis. This involves implementing new descriptors, whether color, texture, or shape, to characterize regions and propose new deep learning architectures for the various applications linked to facial analysis. We restrict our focus on face recognition and person-independent facial expressions classification tasks, which are more challenging, especially in unconstrained environments. Our thesis lead to the proposal of many contributions related to facial analysis based on handcrafted and deep architecture.We contributed to face recognition by an effectiv…

Apprentissage profondAnalyse d'images faciales[SPI.OTHER] Engineering Sciences [physics]/OtherMachine learningDeep neural networksDeep learningFacial image analysisRéseaux de neurones profondsApprentissage machineClassificationCnn
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