Search results for "PG"

showing 10 items of 1521 documents

Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider

2020

Particles beyond the Standard Model (SM) can generically have lifetimes that are long compared to SM particles at the weak scale. When produced at experiments such as the Large Hadron Collider (LHC) at CERN, these longlived particles (LLPs) can decay far from the interaction vertex of the primary proton–proton collision. Such LLP signatures are distinct from those of promptly decaying particles that are targeted by the majority of searches for new physics at the LHC, often requiring customized techniques to identify, for example, significantly displaced decay vertices, tracks with atypical properties, and short track segments. Given their non-standard nature, a comprehensive overview of LLP…

HIGH-ENERGYbeyond the Standard Modellarge hadron colliderPhysics::Instrumentation and DetectorsPROTON-PROTON COLLISIONSPhysics beyond the Standard Modelbeyond the standard model01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)high-luminosity lhcHigh Energy Physics - Phenomenology (hep-ph)MAGNETIC MONOPOLESlong-lived [particle]high-energy collider experimentsdecay: vertexscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]long-lived particlesQCproposed [detector]Physicslifetimedark gauge forcesLarge Hadron ColliderCMSROOT-S=13 TEVroot-s=13 tevPhysicsnew physics: search forscale: electroweak interactionhep-phATLASelectroweak interaction [scale]vertex [decay]upgrade [detector]High Energy Physics - Experiment; High Energy Physics - Experiment; High Energy Physics - Phenomenologydetector: upgradeSettore FIS/02 - Fisica Teorica Modelli e Metodi Matematiciprimary [vertex]ddc:High Energy Physics - PhenomenologyCERN LHC CollLarge Hadron Colliderbaryon asymmetryvertex: primaryLHCcolliding beams [p p]exclusion limitspp collisionsParticle Physics - ExperimentsignatureNuclear and High Energy PhysicsParticle physicsp p: scatteringCERN LabPAIR PRODUCTIONcollider phenomenologyreviewFOS: Physical sciencesDARK GAUGE FORCES530search for [new physics]BARYON ASYMMETRY0103 physical sciencesddc:530010306 general physicsnumerical calculationsParticle Physics - PhenomenologyEXCLUSION LIMITSmagnetic monopolesPP COLLISIONS010308 nuclear & particles physicshep-exbackgroundbibliographyshowersMAJORANA NEUTRINOSCollisiontracksLHC-Bdetector: proposedhigh-luminosity LHCpair productionMATHUSLAPhysics and Astronomy[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]proton-proton collisionshigh-energymajorana neutrinosparticle: long-livedp p: colliding beamsPhysics BSMexperimental results
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A procedure to evaluate coincidence-summing correction values in gamma-ray spectrometry with HPGe detectors

2009

The spectrometric analysis of a gamma-emitter sample measured in "close geometry" can be affected by errors due to coincidence-summing effects that can occur when two or more coincident photons (real coincidences) within the resolution time of the spectrometric system are emitted. The probability that these effects occur depends primarily on the nuclide decay scheme, the sample-detector distance and detector intrinsic-efficiency whereas results independent from the sample nuclide activity. Coincidence-summing corrections of the photopeak areas are requested, in particular, when the gamma ray spectrometric analysis is aimed to efficiency or activity determination. In this work is reported a …

HPge detectorsgamma-ray spectrometrySettore ING-IND/20 - Misure E Strumentazione Nuclearicoincidence-summing
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Hsp60 expression in skeletal muscle increase after endurance training

2014

HSPS Pgc1 alpha C2C12 cells.
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Brief an Garlieb H. Merkel

1797

Ms. 930a, Nr. 6, Bl. 15r-16r Bruiningk, Karl Axel Christer Freiherr von. Brief an Garlieb H. Merkel, Halle, den 3. Oct[ober] 1797 Autora rokraksts / Autograph, vācu val. / Deutsch, [3] lpp. / S. Attēlu numuri / Bildnummern: 930a-006-1 – 930a-006-2-3 Der spätere Verfechter für die Bauernbefreiung in Livland und Reformer landwirtschaftlicher Methoden Karl Alexander Christer von Bruiningk drückt im Alter von 16 Jahren Merkel gegenüber seinen Dank und seine Bewunderung aus. Zum Zeitpunkt des Schreibens befindet sich der Autor im „Königlichen Pädagogium“ in Halle, also einem Teil der Franckeschen Stiftungen. Diese Muster-Bildungsanstalt war einer der Stationen von Bruiningks Bildungsweg, die meh…

Halles pedagoģijas skoladzimtbūšanaPāvils I Romanovs (Krievijas impērijas ķeizars)Franckesche StiftungenGesetzgebung 1807/1808"Latvieši"LiteraturMerķelis Garlībs Helvigs (1769-1850)Bruiningk Ludolf August von (?-1802)zemnieku brīvlaišana„Hamburgische Schrift“ [gemeint die Zeitschrift „Hamburgischer Correspondent“]Halles Frankes fondiBauernbefreiungBruiningk Karl Axel Christer Freiherr (1782-1848)Merkel Garlieb Helvig (1769-1850)literaūra„Die Letten“:HUMANITIES and RELIGION [Research Subject Categories]Apgaismības laikmetsFranzösische RevolutionLeibeigenschaftHallesches PädagogiumKaiser Paul I von RusslandFranču revolūcijaAufklärunglikumdošana 1807/1808
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Biological properties of carotenoids extracted from Halobacterium halobium isolated from a Tunisian solar saltern

2013

Abstract Background Bioactive molecules have received increasing attention due to their nutraceutical attributes and anticancer, antioxidant, antiproliferative and apoptosis-inducing properties. This study aimed to investigate the biological properties of carotenoids extracted from Archaea. Methods Halophilic Archaea strains were isolated from the brine of a local crystallizer pond (TS7) of a solar saltern at Sfax, Tunisia. The most carotenoid-producing strain (M8) was investigated on heptoma cell line (HepG2), and its viability was assessed by the MTT-test. The cells were incubated with different sub-lethal extract rates, with carotenoid concentrations ranging from 0.2 to 1.5 μM. Antioxida…

HalobacteriumTunisiaAntioxidantCell Survivalmedicine.medical_treatmentHepG2 human cancer cellsArchaea Halobacteria Solar saltern Carotenoids HepG2 human cancer cellsBiologymedicine.disease_causeAntioxidantsMicrobiologyHalobacteriachemistry.chemical_compoundNutraceuticalSettore BIO/10 - BiochimicamedicineHumansSeawaterViability assayFood scienceSettore BIO/06 - Anatomia Comparata E CitologiaCell ShapeCarotenoidchemistry.chemical_classificationSolar salternHep G2 CellsGeneral MedicineArchaeaCarotenoidsHalophileOxidative StressComplementary and alternative medicinechemistryCell cultureArachidonic acidOxidative stressResearch Article
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Deep Convolutional Neural Network Based Object Detection Inference Acceleration Using FPGA

2022

Object detection is one of the most challenging yet essential computer vision research areas. It means labeling and localizing all known objects of interest on an input image using tightly fit rectangular bounding boxes around the objects. Object detection, having passed through several evolutions and progressions, nowadays relies on the successes of image classification networks based on deep convolutional neural networks. However, as the depth and complication of convolutional neural networks increased, detection speed reduced, and accuracy increased. Unfortunately, most computer vision applications, such as real-time object tracking on an embedded system, requires lightweight, fast and a…

Hardware AcceleratorsAccélérateur matérielApprentissage profondObject detection[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDétection d'objetsDeep learningConvolutional Neural NetworkCnnFpga
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A Novel Systolic Parallel Hardware Architecture for the FPGA Acceleration of Feedforward Neural Networks

2019

New chips for machine learning applications appear, they are tuned for a specific topology, being efficient by using highly parallel designs at the cost of high power or large complex devices. However, the computational demands of deep neural networks require flexible and efficient hardware architectures able to fit different applications, neural network types, number of inputs, outputs, layers, and units in each layer, making the migration from software to hardware easy. This paper describes novel hardware implementing any feedforward neural network (FFNN): multilayer perceptron, autoencoder, and logistic regression. The architecture admits an arbitrary input and output number, units in la…

Hardware architectureFloating pointGeneral Computer ScienceArtificial neural networkComputer scienceClock rateActivation functionGeneral EngineeringSistemes informàticsAutoencoderArquitectura d'ordinadorsComputational scienceneural network accelerationFPGA implementationdeep neural networksMultilayer perceptronFeedforward neural networks - FFNNFeedforward neural networkXarxes neuronals (Informàtica)General Materials Sciencelcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971systolic hardware architectureIEEE Access
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A Specialized Architecture for Color Image Edge Detection Based on Clifford Algebra

2013

Edge detection of color images is usually performed by applying the traditional techniques for gray-scale images to the three color channels separately. However, human visual perception does not differentiate colors and processes the image as a whole. Recently, new methods have been proposed that treat RGB color triples as vectors and color images as vector fields. In these approaches, edge detection is obtained extending the classical pattern matching and convolution techniques to vector fields. This paper proposes a hardware implementation of an edge detection method for color images that exploits the definition of geometric product of vectors given in the Clifford algebra framework to ex…

Hardware architectureMultispectral MR images.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniColor histogramComputer scienceColor imagebusiness.industryColor image edge detectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFPGA prototypingApplication-specific processorColor quantizationEdge detectionConvolutionComputer Science::Hardware ArchitectureComputer Science::Computer Vision and Pattern RecognitionRGB color modelComputer visionArtificial intelligenceClifford algebrabusinessImage gradient
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Communication Interface Generation For HW/SW Architecture In The STARSoC Environment

2006

Mapping the application functionality to software and hardware requires automated methods to specify, generate and optimize the hardware, software, and the interface architectures between them. In this paper, we present a methodology flow to hardware-software communication synthesis for system-on-a-chip (SoC) design through STARSoC (Synthesis Tool for Adaptive and Reconfigurable System-on-a-Chip) tool for rapid prototyping. Our concept consists of a set of hardware and software processes, described in C-code, communicates through the streams channels. This methodology consists in analyzing dependences of data between processes and synthesis a custom architecture to interface it. Firstly, we…

Hardware architectureResource-oriented architectureComputer sciencebusiness.industryInterface (computing)Software prototypingcomputer.software_genreSoftware frameworkComputer architectureEmbedded systemComponent-based software engineeringReference architecturebusinesscomputerFPGA prototype2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006)
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HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study

2022

Heterogeneity is a problem in storing and exchanging data in a digital health information system (HIS) following semantic and structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as a structural standard may explain other information models, (e.g., personal, physiological, and behavioral data from heterogeneous sources, such as activity sensors, questionnaires, and interviews) with semantic vocabularies, (e.g., Systematized Nomenclature of Medicine—Clinical Terms (SNOMED-CT)) to connect personal health data to an electronic health record (EHR). We design and develop an intuitive health coaching (eCoach…

Health Records PersonalHL7; FHIR; SNOMED-CT; PHR; PGHD; PHR-S FM; interoperability; eCoach; TSDElectronic Health RecordsSystematized Nomenclature of MedicineElectrical and Electronic EngineeringBiochemistryInstrumentationProof of Concept StudyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Atomic and Molecular Physics and OpticsAnalytical ChemistrySemanticsSensors; Volume 22; Issue 10; Pages: 3756
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