693 research outputs found
5-Bromo-2-methoxy-4-{[(4-methoxyphenyl)imino]methyl}phenol monohydrate
The crystal structure of the title compound, C15H14BrNO3·H2O, has a trans configuration about the central C=N double bond. An intramolecular O—H⋯O hydrogen bond occurs in the main molecule. The crystal packing is stabilized by strong O—H⋯O and O—H⋯N hydrogen bonds
Monitoring Breast Tumor Lung Metastasis by U-SPECT-II/CT with an Integrin αvβ3-Targeted Radiotracer 99mTc-3P-RGD2
Purpose: The purpose of this study was to evaluate the capability of u-SPECT-II/CT to monitor the progression of breast cancer lung metastasis using 99mTc-3P-RGD2 as a radiotracer
The Effect of Bacteria on Seed Germination in Sorghum and Rape Under Cadmium and Petroleum Conditions
A large amount of oil hydrocarbons and heavy metals have been discharged into the environment and caused soil polluted. Petroleum and cadmium in soil accumulated in crops and lead to threaten human healthy through the food chain. In this experiment, seeds of sorghum and rape were germinated in deferent concentrations of petroleum and cadmium, and the effect of Peptococcus activus sp. SH3-3-9 on the germination was studied. The results showed that petroleum and cadmium inhibited seeds germination, and the effects were stronger as their concentrations increased. Peptococcus activus sp.SH3-3-9 had the role of enhancing seed germination, which indicates it has high potential in plant-microbial remediation of petroleum and cadmium in soil
New Graviton Mass Bound from Binary Pulsars
In Einstein's general relativity, gravity is mediated by a massless metric
field. The extension of general relativity to consistently include a mass for
the graviton has profound implications for gravitation and cosmology. Salient
features of various massive gravity theories can be captured by Galileon
models, the simplest of which is the cubic Galileon. The presence of the
Galileon field leads to additional gravitational radiation in binary pulsars
where the Vainshtein mechanism is less suppressed than its fifth-force
counterpart, which deserves a detailed confrontation with observations. We
prudently choose fourteen well-timed binary pulsars, and from their intrinsic
orbital decay rates we put a new bound on the graviton mass, at the 95% confidence level, assuming a flat
prior on . It is equivalent to a bound on the graviton Compton
wavelength . Furthermore, we
extensively simulate times of arrival for pulsars in orbit around stellar-mass
black holes and the supermassive black hole at the Galactic center, and
investigate their prospects in probing the cubic Galileon theory in the near
future.Comment: 14 pages, 10 figures; accepted by PR
Joint constraints on cosmological parameters using future multi-band gravitational wave standard siren observations
Gravitational waves (GWs) from the compact binary coalescences can be used as
standard sirens to explore the cosmic expansion history. In the next decades,
it is anticipated that we could obtain the multi-band GW standard siren data
(from nanohertz to a few hundred hertz), which are expected to play an
important role in cosmological parameter estimation. In this work, we give for
the first time the joint constraints on cosmological parameters using the
future multi-band GW standard siren observations. We simulate the multi-band GW
standard sirens based on the SKA-era pulsar timing array (PTA), the Taiji
observatory, and the Cosmic Explorer (CE) to perform cosmological analysis. In
the CDM model, we find that the joint PTA+Taiji+CE data could provide
a tight constraint on the Hubble constant with a precision. Moreover,
PTA+Taiji+CE could break the cosmological parameter degeneracies generated by
CMB, especially in the dynamical dark energy models. When combining the
PTA+Taiji+CE data with the CMB data, the constraint precisions of and are and , meeting the standard of precision
cosmology. The joint CMB+PTA+Taiji+CE data give in the CDM
model and and in the CDM model,
which are comparable with or close to the latest constraint results by
CMB+BAO+SN. In conclusion, it is worth expecting to use the future multi-band
GW observations to explore the nature of dark energy and measure the Hubble
constant.Comment: 12 pages, 6 figures; accepted for publication in Chinese Physics
Effects of Inoculants (Chlorobium limicola and Rhodopseudo-monas palustris) on Nutrient Uptake and Growth in Cucumber
Rhizobacteria is a prosperous for promoting plant growth for the superiority of reducing environmental damages. Two Strains of Chlorobium limicola and Rhodopseudomonas palustris were supplied in the experiment as potential inoculants for cucumber. Significant enhancement of the availability of macronutrient elements N, P and K were observed in soil, and further improvement on the uptake of them was also obtained in cucumber plants. Accumulation of essential micronutrients of Fe and Zn were detected both in roots and in shoots. The two stains increased chlorophyll and carotinoid synthesis, plant height, stem diameter, wet weight and dry weight. Various dose has significantly effect on plant growth stimulation, C. Limicola with 107 cells mL-1 and R. Palustris with 108 cells mL-1 seem to be better on the whole
cis-Dichloridobis(1,10-phenanthroline)cobalt(II) dimethylformamide solvate
In the title complex, [CoCl2(C12H8N2)2]·C3H7NO, which has twofold rotation symmetry, the CoII cation is coordinated by two 1,10-phenanthroline (phen) molecules and two chloride ligands in a distorted octahedral geometry. In the crystal structure, a cavity is created by six complex molecules connected by C—H⋯π interactions and non-classical C—H⋯Cl hydrogen bonds. The cavities are occupied by the disordered dimethylformamide solvent molecule. The C and N atoms of the C—N bond in the solvent molecule also lie on a crystallographic twofold rotation axis; the remaining atoms of the solvent are statistically disordered (ratio 0.5:0.5) about this axis
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
Model-based reinforcement learning (MBRL) is recognized with the potential to
be significantly more sample efficient than model-free RL. How an accurate
model can be developed automatically and efficiently from raw sensory inputs
(such as images), especially for complex environments and tasks, is a
challenging problem that hinders the broad application of MBRL in the real
world. In this work, we propose a sensing-aware model-based reinforcement
learning system called SAM-RL. Leveraging the differentiable physics-based
simulation and rendering, SAM-RL automatically updates the model by comparing
rendered images with real raw images and produces the policy efficiently. With
the sensing-aware learning pipeline, SAM-RL allows a robot to select an
informative viewpoint to monitor the task process. We apply our framework to
real-world experiments for accomplishing three manipulation tasks: robotic
assembly, tool manipulation, and deformable object manipulation. We demonstrate
the effectiveness of SAM-RL via extensive experiments. Supplemental materials
and videos are available on our project webpage at
https://sites.google.com/view/sam-rl.Comment: Submitted to IEEE International Conference on Robotics and Automation
(ICRA) 202
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