3,813 research outputs found
Rapidity bin multiplicity correlations from a multi-phase transport model
The central-arbitrary bin and forward-backward bin multiplicity correlation
patterns for Au+Au collisions at = GeV are
investigated within a multi-phase transport (AMPT) model. An interesting
observation is that for GeV Au+Au collisions, these two
correlation patterns both have an increase with the pseudorapidity gap, while
for GeV Au+Au collisions, they decrease. We mainly
discuss the influence of different evolution stages of collision system on the
central-arbitrary bin correlations, such as the initial conditions, partonic
scatterings, hadronization scheme and hadronic scatterings. Our results show
that the central-arbitrary bin multiplicity correlations have different
responses to partonic phase and hadronic phase, which can be suggested as a
good probe to explore the dynamical evolution mechanism of the hot dense matter
in high-energy heavy-ion collisions.Comment: 7pages, 6 figures, accepted for publication in EPJ
Triaqua(2,2′-bipyridine N,N′-dioxide-κ2 O,O′)(5-nitrobenzene-1,3-dicarboxylato-κO 1)zinc(II)
In the title compound, [Zn(C8H3NO6)(C10H8N2O2)(H2O)3], the ZnII ion is coordinated in a distorted octahedral geometry by three water molecules, one O atom from a 5-nitrobenzene-1,3-dicarboxylate ligand and two O atoms from a chelating 2,2′-bipyridine N,N′-dioxide ligand. An extensive network of O—H⋯O hydrogen bonds is formed between the water molecules and the carboxylate groups. C—H⋯O interactions are also present
Trace initial interaction from final state observable in relativistic heavy ion collisions
In order to trace the initial interaction in ultra-relativistic heavy ion
collision in all azimuthal directions, two azimuthal multiplicity-correlation
patterns -- neighboring and fixed-to-arbitrary angular-bin correlation patterns
-- are suggested. From the simulation of Au + Au collisions at 200 GeV by using
the Monte Carlo models RQMD with hadron re-scattering and AMPT with and without
string melting, we observe that the correlation patterns change gradually from
out-of-plane preferential one to in-plane preferential one when the centrality
of collision shifts from central to peripheral, meanwhile the anisotropic
collective flow v_2 keeps positive in all cases. This regularity is found to be
model and collision energy independent. The physics behind the two opposite
trends of correlation patterns, in particular, the presence of out-of-plane
correlation patterns at RHIC energy, are discussed.Comment: 5pages, 4figure
Photosynthetic characteristics and nitrogen distribution of large-spike wheat in Northwest China
AbstractThe leaf photosynthesis and nitrogen (N) translocation in three large-spike lines and control cultivar (Xi'nong 979) of winter wheat (Triticum aestivum L.) were studied in 2010–2011 and 2011–2012. The objectives of this study were to investigate the differences in the physiological characteristics of large-spike lines and control cultivar and identify the limiting factors that play a role in improving the yield of breeding materials. The average yield, grain number per spike, kernel weight per spike, and 1000-kernel weight of the large-spike lines were 16.0, 26.8, 42.6, and 15.4%, respectively, significantly higher than those of control. The average photosynthetic rates (Pn) were not significant between the large-spike lines and control cultivar during the active growth period. The average PSII maximum energy conversion efficiency (Fv/Fm), PSII actual quantum efficiency (ΦPS??), photochemical quenching coefficient (qP), PSII reaction center activity (Fv‘/Fv‘) and water-use efficiency (WUE) of the large-spike lines were 1.0, 5.1, 3.6, 0.8, and 43.4%, respectively, higher than those of the control during the active growth stages. The N distribution proportions in different tissues were ranked in the order of grains<culms+sheathes<ra-chis+glumes<flag leaves<penultimate leaves<remain leaves. This study suggested that utilization of the large-spike wheat might be a promising approach to obtain higher grain yield in Northwest China
Self-templating and in situ assembly of a cubic cluster-of-clusters architecture based on a {Mo24Fe12} inorganic macrocycle
Engineering self-templating inorganic architectures is critical for the development of bottom-up approaches to nanoscience, but systems with a hierarchy of templates are elusive. Herein we describe that the cluster-anion-templated (CAT) assembly of a {CAT}⊂{Mo24Fe12} macrocycle forms a giant ca. 220 nm3 unit cell containing 16 macrocycles clustered into eight face-shared tetrahedral cluster-of-clusters assemblies. We show that {CAT}⊂{Mo24Fe12} with different CATs gives the compounds 1–4 for CAT=Anderson {FeMo6} (1), Keggin {PMo12} (2), Dawson {P2W18} (3), and {Mo12O36(HPO3)2} (4) polyoxometalates. “Template-free” assembly can be achieved, whereby the macrocycle components can also form a template in situ allowing template to macrocycle to superstructure formation and the ability to exchange the templates. Furthermore, the transformation of template clusters within the inorganic macrocycle {Mo24Fe12} allows the self-generation of an uncapped {Mo12O36(HPO3)2} in compound 4
A SiO J = 5 - 4 Survey Toward Massive Star Formation Regions
We performed a survey in the SiO line toward a sample of
199 Galactic massive star-forming regions at different evolutionary stages with
the SMT 10 m and CSO 10.4 m telescopes. The sample consists of 44 infrared dark
clouds (IRDCs), 86 protostellar candidates, and 69 young \HII\ regions. We
detected SiO line emission in 102 sources, with a detection
rate of 57\%, 37\%, and 65\% for IRDCs, protostellar candidates, and young
\HII\ regions, respectively. We find both broad line with Full Widths at Zero
Power (FWZP) 20 \kms and narrow line emissons of SiO in objects at various
evolutionary stages, likely associated with high-velocity shocks and
low-velocity shocks, respectively. The SiO luminosities do not show apparent
differences among various evolutionary stages in our sample. We find no
correlation between the SiO abundance and the luminosity-to-mass ratio,
indicating that the SiO abundance does not vary significantly in regions at
different evolutionary stages of star formation.Comment: 25 pages, 9 figures, 5 tables, accepted for publication in Ap
The Binding of Platinum (II) Complexes to Rabbit Skeletal Muscle G-Actin Induces Conformation Changes
The binding of cis-diamminedichloroplatinum (DDCP) and cis-diaquodiammine platinum (DADP) to
rabbit skeletal muscle G-actin and the consequent conformation changes were studied as the function of the
Pt/actin molar ratio (R) and time by intrinsic and NPM labeled fluorescence, CD spectra as well as gelfiltration
chromatography. The results indicated that the unhydrolyzed DDCP can react with G-actin in
presence of Cl- ion. The reaction differs from that of its hydrolysis product DADP in a higher specificity and
a lower capacity. Both of them induced exposure of the tryptophane residues and labeled Cys374 and the
increase in α-helix content depending on R, but the conformation changes caused by DADP are more
significant than DDCP at the same R. These are related to the binding of DADP to groups other than thiols.
The rate constants of conformation change suggested that DADP quenched the intrinsic fluorescence more
rapid. The temporal change in fluorescence of NPM labeled actin has a biphasic feature: in the first 16
minutes, the fluorescence was quenched, then it recovered slowly, indicating a multi-step reaction including
high affinity platinum binding → labeled Cys374 moving to hydrophilic environment → low affinity platinum
binding → Cys374-related conformation compacting in sequence
Rethinking Image Editing Detection in the Era of Generative AI Revolution
The accelerated advancement of generative AI significantly enhance the
viability and effectiveness of generative regional editing methods. This
evolution render the image manipulation more accessible, thereby intensifying
the risk of altering the conveyed information within original images and even
propagating misinformation. Consequently, there exists a critical demand for
robust capable of detecting the edited images. However, the lack of
comprehensive dataset containing images edited with abundant and advanced
generative regional editing methods poses a substantial obstacle to the
advancement of corresponding detection methods.
We endeavor to fill the vacancy by constructing the GRE dataset, a
large-scale generative regional editing dataset with the following advantages:
1) Collection of real-world original images, focusing on two frequently edited
scenarios. 2) Integration of a logical and simulated editing pipeline,
leveraging multiple large models in various modalities. 3) Inclusion of various
editing approaches with distinct architectures. 4) Provision of comprehensive
analysis tasks. We perform comprehensive experiments with proposed three tasks:
edited image classification, edited method attribution and edited region
localization, providing analysis of distinct editing methods and evaluation of
detection methods in related fields. We expect that the GRE dataset can promote
further research and exploration in the field of generative region editing
detection
Quantum molecular dynamic simulations of warm dense carbon monoxide
Using quantum molecular dynamic simulations, we have studied the
thermophysical properties of warm dense carbon monoxide under extreme
conditions. The principal Hugoniot, which is derived from the equation of
state, shows excellent agreement with available experimental data up to 67 GPa.
The chemical decomposition of carbon monoxide has been predicted at 8 GPa by
means of pair correlation function. Based on Kubo-Greenwood formula, the dc
electrical conductivity and the optical reflectivity are determined, and the
nonmetal-metal transition for shock compressed carbon monoxide is observed
around 43 GPa
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