Search results for " kinetic"

showing 6 items of 416 documents

"Figure 9c-3" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN) …

2023

The quark-number-scaled $v_2$ ($v_2/n_q$) of identified hadrons are shown as a function of the kinetic energy per quark, KE$_T/n_q$ in 0–10% centrality [panel (a)] in Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The error bars (shaded boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown are type A and B only.

transverse kinetic energyAu Au —> $p$ $\bar p$midrapiditycentralityppg123transverse momentum200.0
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"Figure 10b-3" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN)…

2023

The quark-number-scaled $v_2$ ($v_2/n_q$) of identified hadrons are shown as a function of the kinetic energy per quark, KE$_T/n_q$ in 10–40% centrality [panel (b)] in Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The $v_2$ of $\Lambda$ and K$^0_S$ are measured by STAR collaboration [21]. The error bars (open boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown on the results from this study are type A and B only.

transverse kinetic energyAu Au —> $p$ $\bar p$midrapiditycentralityppg123transverse momentum200.0
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"Figure 8b-3" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN) …

2023

Identified hadron $v_2$ in central (0–20% centrality, left panels) Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Panels (a) and (b) show $v_2$ as a function of transverse momentum $p_T$. The $v_2$ of all species for centrality 0–20% has been scaled up by a factor of 1.6 for better comparison with results of 20–60% centrality. The error bars (shaded boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown are type A and B only.

transverse kinetic energyAu Au —> $p$ $\bar p$midrapiditycentralityppg123transverse momentum200.0
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Dipeptidyl Enoates As Potent Rhodesain Inhibitors That Display a Dual Mode of Action

2015

Dipeptidyl enoates were prepared through a high-yielding two-step synthetic route. They have a dipeptidic structure with a 4-oxoenoate moiety as a warhead with multiple reactive sites. Dipeptidyl enoates were screened against rhodesain and human cathepsins B and L, and were found to be potent and selective inhibitors of rhodesain. Among them (S,E)-ethyl 5-((S)-2-{[(benzyloxy)carbonyl]amino}-3-phenylpropanamido)-7-methyl-4-oxooct-2-enoate (6) was the most potent, with an IC50 value of 16.4 nm and kinact/Ki=1.6×106 m−1 s−1 against rhodesain. These dipeptidyl enoates display a reversible mode of inhibition at very low concentrations and an irreversible mode at higher concentrations. Inhibition…

trypanosomiasisStereochemistrysleeping sicknessCathepsin LDrug Evaluation PreclinicalChemistry Techniques SyntheticInhibition kineticsCysteine Proteinase InhibitorsBiochemistryCathepsin BInhibitory Concentration 50Structure-Activity RelationshipinhibitorsDrug DiscoveryHumansMoietyMolecular Targeted TherapyGeneral Pharmacology Toxicology and PharmaceuticsIC50Volume concentrationrhodesainPharmacologyChemistryOrganic ChemistryDual modeDipeptidesTrypanocidal AgentsCombinatorial chemistryMolecular Docking SimulationCysteine EndopeptidasesKineticsdipeptidyl enoatesTrypanosomiasis AfricanDocking (molecular)Molecular MedicineCysteine thiolateChemMedChem
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The effects of locomotor pattern diversity and ageing on the lower limb joint mechanics and loading during human walking and running

2015

urheiluvammatmekaniikkavariabilityvaikutuksetkuormitustyylitlihaksetgait patternjoint kineticsjalatjuoksukävelykuluminenlocomotionnilkattekniikkaikääntyminenniveletageingvammatbiomekaniikkaliikuntavammat
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Numerical Simulations of the Flow Field of a Submerged Hydraulic Jump over Triangular Macroroughnesses

2021

The submerged hydraulic jump is a sudden change from the supercritical to subcritical flow, specified by strong turbulence, air entrainment and energy loss. Despite recent studies, hydraulic jump characteristics in smooth and rough beds, the turbulence, the mean velocity and the flow patterns in the cavity region of a submerged hydraulic jump in the rough beds, especially in the case of triangular macroroughnesses, are not completely understood. The objective of this paper was to numerically investigate via the FLOW-3D model the effects of triangular macroroughnesses on the characteristics of submerged jump, including the longitudinal profile of streamlines, flow patterns in the cavity regi…

velocitylcsh:Hydraulic engineering010504 meteorology & atmospheric sciencesGeography Planning and Development0207 environmental engineering02 engineering and technologyAquatic Science01 natural sciencesBiochemistrySettore ICAR/01 - IdraulicaPhysics::Fluid Dynamicssymbols.namesakelcsh:Water supply for domestic and industrial purposeslcsh:TC1-978triangular macroroughnesseShear stressFroude numberStreamlines streaklines and pathlines020701 environmental engineeringHydraulic jump0105 earth and related environmental sciencesWater Science and Technologylcsh:TD201-500TKEbed shear stress coefficientFLOW-3D modelsubmerged hydraulic jumpTurbulenceMechanicsSupercritical flowTurbulence kinetic energyJumpsymbolsGeologytriangular macroroughnessesWater
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