186 research outputs found
Cross-Correlation Forecast of CSST Spectroscopic Galaxy and MeerKAT Neutral Hydrogen Intensity Mapping Surveys
Cross-correlating the data of neutral hydrogen (HI) 21cm intensity mapping
with galaxy surveys is an effective method to extract astrophysical and
cosmological information. In this work, we investigate the cross-correlation of
MeerKAT single-dish mode HI intensity mapping and China Space Station Telescope
(CSST) spectroscopic galaxy surveys. We simulate a survey area of
of MeerKAT and CSST surveys at using Multi-Dark N-body
simulation. The PCA algorithm is applied to remove the foregrounds of HI
intensity mapping, and signal compensation is considered to solve the signal
loss problem in the HI-galaxy cross power spectrum caused by the foreground
removal process. We find that from CSST galaxy auto and MeerKAT-CSST cross
power spectra, the constraint accuracy of the parameter product can reach to , which is about one order
of magnitude higher than the current results. After performing the full MeerKAT
HI intensity mapping survey with 5000 deg survey area, the accuracy can be
enhanced to . This implies that the MeerKAT-CSST cross-correlation can
be a powerful tool to probe the cosmic HI property and the evolution of
galaxies and the Universe.Comment: 17 pages, 11 figures, 3 tables. Accepted for publication in RA
Electroacupuncture Alleviates Postoperative Cognitive Dysfunction in Aged Rats by Inhibiting Hippocampal Neuroinflammation Activated via Microglia/TLRs Pathway
Neuroinflammation has been suggested to be involved in the pathogenesis of postoperative cognitive dysfunction (POCD). Electroacupuncture (EA) is an irreplaceable method in traditional Chinese medicine that is used for treating neurodegenerative diseases in clinical and experimental studies. The aim of this study was to examine whether EA improves cognitive dysfunction caused by surgery and to investigate the pathological mechanism of TLR2 and TLR4 in the hippocampus of aged rats. A rat model of POCD was established and treated with EA or minocycline. Both EA- and minocycline-treated rats performed significantly better than untreated operated rats in spatial memory tasks of the Morris water maze (MWM) test, spending comparatively greater amounts of time in the target zone during the probe test. Additionally, decreased levels of proinflammatory cytokines (IL-1β, IL-6, TNF-α, and HMGB1) and decreased TLR2 and TLR4 protein expression in the hippocampus of EA- and minocycline-treated rats were detected. Our data suggested that EA treatment alleviated the cognition performance deficit and neuroinflammation in aged rats following surgery, which may be mediated by inhibiting the expression of hippocampal neuroinflammatory cytokines through the microglia/TLR2/4 pathway
Contribution of Atmospheric Oxygenated Organic Compounds to Particle Growth in an Urban Environment
Gas-phase oxygenated organic molecules (OOMs) can contribute substantially to the growth of newly formed particles. However, the characteristics of OOMs and their contributions to particle growth rate are not well understood in urban areas, which have complex anthropogenic emissions and atmospheric conditions. We performed long-term measurement of gas-phase OOMs in urban Beijing during 2018-2019 using nitrate-based chemical ionization mass spectrometry. OOM concentrations showed clear seasonal variations, with the highest in the summer and the lowest in the winter. Correspondingly, calculated particle growth rates due to OOM condensation were highest in summer, followed by spring, autumn, and winter. One prominent feature of OOMs in this urban environment was a high fraction (similar to 75%) of nitrogen-containing OOMs. These nitrogen-containing OOMs contributed only 50-60% of the total growth rate led by OOM condensation, owing to their slightly higher volatility than non-nitrate OOMs. By comparing the calculated condensation growth rates and the observed particle growth rates, we showed that sulfuric acid and its clusters are the main contributors to the growth of sub-3 nm particles, with OOMs significantly promoting the growth of 3-25 nm particles. In wintertime Beijing, however, there are missing contributors to the growth of particles above 3 nm, which remain to be further investigated.Peer reviewe
Modulation of Ca2+ Signals by Epigallocatechin-3-gallate(EGCG) in Cultured Rat Hippocampal Neurons
Green tea has been receiving considerable attention as a possible neuroprotective agent against neurodegenerative disease. Epigallocatechin-3-gallate (EGCG) is the major compound of green tea. Calcium signaling has profound effects on almost all aspects of neuronal function. Using digital calcium imaging and patch-clamp technique, we determined the effects of EGCG on Ca2+ signals in hippocampal neurons. The results indicated that EGCG caused a dose-dependent increase in intracellular Ca2+ ([Ca2+]i). This [Ca2+]i increase was blocked by depleting intracellular Ca2+ stores with the endoplasmic reticulum Ca2+ pump inhibitor thapsigargin and cyclopiazonic acid. Furthermore, EGCG-stimulated increase in [Ca2+]i was abolished following treatment with a PLC inhibitor. However, EGCG inhibited high-voltage activated Ca2+ currents (IHVA) and NMDA-induced inward currents (INMDA). These data suggest that EGCG triggers a cascade of events: it activates phospholipase C (PLC), mobilizes intracellular Ca2+ stores, raises the cytosolic Ca2+ levels, and inhibits the VGCC and NMDA receptors-mediated Ca2+ influx through a process that remains to be determined
Comprehensive targeted super-deep next generation sequencing enhances differential diagnosis of solitary pulmonary nodules
Anomalous stopping of laser-accelerated intense proton beam in dense ionized matter
Ultrahigh-intensity lasers (10-10W/cm) have opened up new
perspectives in many fields of research and application [1-5]. By irradiating a
thin foil, an ultrahigh accelerating field (10 V/m) can be formed and
multi-MeV ions with unprecedentedly high intensity (10A/cm) in short
time scale (ps) are produced [6-14]. Such beams provide new options in
radiography [15], high-yield neutron sources [16], high-energy-density-matter
generation [17], and ion fast ignition [18,19]. An accurate understanding of
the nonlinear behavior of beam transport in matter is crucial for all these
applications. We report here the first experimental evidence of anomalous
stopping of a laser-generated high-current proton beam in well-characterized
dense ionized matter. The observed stopping power is one order of magnitude
higher than single-particle slowing-down theory predictions. We attribute this
phenomenon to collective effects where the intense beam drives an decelerating
electric field approaching 1GV/m in the dense ionized matter. This finding will
have considerable impact on the future path to inertial fusion energy.Comment: 8 pages, 4 figure
Energy loss enhancement of very intense proton beams in dense matter due to the beam-density effect
Thoroughly understanding the transport and energy loss of intense ion beams
in dense matter is essential for high-energy-density physics and inertial
confinement fusion. Here, we report a stopping power experiment with a
high-intensity laser-driven proton beam in cold, dense matter. The measured
energy loss is one order of magnitude higher than the expectation of individual
particle stopping models. We attribute this finding to the proximity of beam
ions to each other, which is usually insignificant for relatively-low-current
beams from classical accelerators. The ionization of the cold target by the
intense ion beam is important for the stopping power calculation and has been
considered using proper ionization cross section data. Final theoretical values
agree well with the experimental results. Additionally, we extend the stopping
power calculation for intense ion beams to plasma scenario based on Ohm's law.
Both the proximity- and the Ohmic effect can enhance the energy loss of intense
beams in dense matter, which are also summarized as the beam-density effect.
This finding is useful for the stopping power estimation of intense beams and
significant to fast ignition fusion driven by intense ion beams
Detection of the Diffuse Supernova Neutrino Background with JUNO
As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO
Potential of Core-Collapse Supernova Neutrino Detection at JUNO
JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve
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