Search results for " Enhancement"

showing 10 items of 521 documents

"Figure 11" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 60-88% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 8" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron RdA 0-20% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 9" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 20-40% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 7" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 0-100% d+Au collisions. The nuclear modification factors $R_{dA}$ and $R_{AA}$ for minimum bias $d$+Au and Au+Au collisions, for the $\pi^{0}$ and $e^{\pm}_{HF}$. The two boxes on the right side of the plot represent the global uncertainties in the $d$+Au (left) and Au+Au (right) values of $N_{coll}$ . An additional common global scaling uncertainty of 9.7% on $R_{dA}$ and $R_{AA}$ from the $p+p$ reference data is omitted for clarity.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figures 3-6" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron yield, $d$+Au $\implies$ CHARGED X. Electrons from heavy flavor decays, separated by centrality. The lines represent a fit to the previous $p+p$ result [23], scaled by $N_{coll}$. The inset shows the ratio of photonic background electrons determined by the converter and cocktail methods for Minimum Bias $d$+Au collisions, with error bars (boxes) that represent the statistical uncertainty on the converter data (systematic uncertainty on the photonic-electron cocktail).

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 10" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 40-60% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figures 1-2" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron yield, Run-8 $p$ + $p$, $d$+Au collisions. Electrons from heavy flavor decays, separated by centrality. The lines represent a fit to the previous $p+p$ result [23], scaled by $N_{coll}$. The inset shows the ratio of photonic background electrons determined by the converter and cocktail methods for Minimum Bias $d$+Au collisions, with error bars (boxes) that represent the statistical uncertainty on the converter data (systematic uncertainty on the photonic-electron cocktail).

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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Lipid Nanoparticles as Potential Gene Therapeutic Delivery Systems for Oral Administration.

2017

Background Gene therapy has experimented an increasing attention in the last decades, due to its enormous potential applications in the medical field. It can be defined as the use of genes or genetic material (DNA, RNA, oligonucleotides) to treat or prevent a disease state, generally a geneticbased one. Application Other applications, like treating viral, bacterial or parasite infections or development of vaccines are gaining also interest. Efficient gene therapy is mainly dependent on the ability of the highly labile genetic material to reach the therapeutic target. For this purpose, different delivery systems have been designed and extensively investigated. Nanoparticles offer a broad ran…

0106 biological sciences0301 basic medicineGenetic enhancementAdministration OralComputational biologyBiologyGene deliveryPharmacology01 natural sciences03 medical and health sciencesDrug Delivery SystemsOral administration010608 biotechnologyNucleic AcidsDrug DiscoverySolid lipid nanoparticleGeneticsOral routeAnimalsHumansParasite InfectionsMolecular BiologyGeneGenetics (clinical)Drug CarriersGene Transfer TechniquesGenetic TherapyBiocompatible materialLipids030104 developmental biologyMolecular MedicineNanoparticlesCurrent gene therapy
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Engineering CRISPR guide RNA riboswitches for in vivo applications

2019

CRISPR-based genome editing provides a simple and scalable toolbox for a variety of therapeutic and biotechnology applications. Whilst the fundamental properties of CRISPR proved easily transferable from the native prokaryotic hosts to eukaryotic and multicellular organisms, the tight control of the CRISPR-editing activity remains a major challenge. Here we summarise recent developments of CRISPR and riboswitch technologies and recommend novel functionalised synthetic-gRNA (sgRNA) designs to achieve inducible and spatiotemporal regulation of CRISPR-based genetic editors in response to cellular or extracellular stimuli. We believe that future advances of these tools will have major implicati…

0106 biological sciencesRiboswitchComputer scienceGenetic enhancementBiomedical EngineeringBioengineeringComputational biology01 natural sciences03 medical and health sciencesSynthetic biologyGenome editing010608 biotechnologyHumansCRISPRClustered Regularly Interspaced Short Palindromic RepeatsGuide RNAQH426030304 developmental biologyGene Editing0303 health sciencesReproducibility of ResultsRNAMulticellular organismRiboswitchGenetic EngineeringRNA Guide KinetoplastidaBiotechnologyCurrent Opinion in Biotechnology
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Image Enhancement Algorithm for Optical Microstructural Characterization of Shape Memory TiNi Friction Stir Processed

2017

Abstract A key topic regarding TiNi alloys concerns the possibility to attain junctions that preserve the shape memory properties of material. Experimental tests, previously performed on TiNi sheet friction stir processed, have highlighted the need to develop an appropriate image analysis method to quantify the various phases percentages present in the characteristics zones of Friction Stir Welding process. A proper Image Processing procedure has been performed in order to quantify the amount of the martensitic phase and to detect its morphology modification along to the processed region. Particularly each micrographic image, firstly, has been denoised using the 2D Wavelet transform techniq…

0209 industrial biotechnologyFriction stir processingMaterials scienceWavelet transformImage processing02 engineering and technologyGeneral MedicineShape-memory alloyImage enhancement shape memory alloy friction stir processingHaar wavelet020901 industrial engineering & automationWavelet0202 electrical engineering electronic engineering information engineeringFriction stir welding020201 artificial intelligence & image processingAdaptive histogram equalizationAlgorithmProcedia Engineering
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