152 research outputs found
Smoothing and mean-covariance estimation of functional data with a Bayesian hierarchical model
Functional data, with basic observational units being functions (e.g.,
curves, surfaces) varying over a continuum, are frequently encountered in
various applications. While many statistical tools have been developed for
functional data analysis, the issue of smoothing all functional observations
simultaneously is less studied. Existing methods often focus on smoothing each
individual function separately, at the risk of removing important systematic
patterns common across functions. We propose a nonparametric Bayesian approach
to smooth all functional observations simultaneously and nonparametrically. In
the proposed approach, we assume that the functional observations are
independent Gaussian processes subject to a common level of measurement errors,
enabling the borrowing of strength across all observations. Unlike most
Gaussian process regression models that rely on pre-specified structures for
the covariance kernel, we adopt a hierarchical framework by assuming a Gaussian
process prior for the mean function and an Inverse-Wishart process prior for
the covariance function. These prior assumptions induce an automatic
mean-covariance estimation in the posterior inference in addition to the
simultaneous smoothing of all observations. Such a hierarchical framework is
flexible enough to incorporate functional data with different characteristics,
including data measured on either common or uncommon grids, and data with
either stationary or nonstationary covariance structures. Simulations and real
data analysis demonstrate that, in comparison with alternative methods, the
proposed Bayesian approach achieves better smoothing accuracy and comparable
mean-covariance estimation results. Furthermore, it can successfully retain the
systematic patterns in the functional observations that are usually neglected
by the existing functional data analyses based on individual-curve smoothing.Comment: Submitted to Bayesian Analysi
Study on measuring method of the angular displacement of muzzle vibration for the small caliber gun
In order to solving the key technique of the angular displacement of muzzle vibration for the small caliber gun, a measuring method of double eddy current displacement sensors for the angular displacement of muzzle vibration is proposed. Two sensors are installed at the measuring points which are distributed near the muzzle. Then, by the triangle transformation method, the vertical and horizontal linear displacement of the muzzle vibration can be transformed to the vertical and horizontal angular displacement. It has been verified by the firing test that the method is non-contact and has the capability of anti-muzzle-flash and anti-shock, and that the test accuracy can meet the requirement of the gun firing environment. By this method, the law of the angular displacement of muzzle vibration under three running firing is obtained during the process that after projectile exit, about three circles of attenuation vibration for the muzzle happen, and then the next projectile begins to leave the muzzle. It shows that the average value of the angular displacement of muzzle vibration is 1.93 minute in azimuth and 1.42 minute in elevation
The Seismic Acquisition Method Researching for the Complex Mountainous Terrain in YXL Area Qaidam Basin
YXL area is the concentration area of exploration activity with classic complicate surface feature in Qaidam Basin. So, its interference wave is development and the seismic data is in low signal-to-noise ratio (SNR) in the area. Through multiple seismic exploration collecting means, Acquisition techniques has obtained great breakthrough, and array technique has showed great affection. The geological tasks and seismic exploration difficulties of target area is aimed in the paper. The remained problems in the past seismic exploration is dissected, studying the noise interference feature and the effects for the array noise attenuation. And the positive roles of the stack response for the noise attenuation is discussed and to supply the high quality and the high precision data for the seismic in this area.Key words: Shot-receiving array; Stack array response; Geometry; Direction effect; Array weighted average effect; Signal-to-noise rati
The biodiversity and stability of alpine meadow plant communities in relation to altitude gradient in three headwater resource regions
Kobresia pygmaea meadow community diversities in relation to altitude gradients (4200, 4300, 4400, 4450) on free grazing grassland was studied in the range of Chenduo county, Yushu prefecture, Qinghai province. Species richness and diversity index of vegetations in the four altitudes were comparatively analyzed. The results showed that the shape of species richness responsive curves to altitude gradient is “Bell-shape”. There were the same 11 common species in the four communities. The relative abundance of K. pygmaea decreased along increasing altitude. Moreover, the fuzzy membership functions were used to calculate the degree of stability, showing medium altitude > high altitude > low altitude, which suggested that grass land vegetation in low altitude of the sampling site had lower diversity, and the grade of species vulnerability risks may be decided with the help of the degree of stability.Key words: Alpine meadow, Yangtze, Yellow and Yalu Tsangpo river source region, altitude gradient, species diversity, membership functions
A new sulfur bioconversion process development for energy- and space-efficient secondary wastewater treatment
Harvesting organic matter from wastewater is widely applied to maximize
energy recovery; however, it limits the applicability of secondary treatment
for acceptable effluent discharge into surface water bodies. To turn this
bottleneck issue into an opportunity, this study developed oxygen-induced
thiosulfatE production duRing sulfATe reductiOn (EARTO) to provide an efficient
electron donor for wastewater treatment. Typical pretreated wastewater was
synthesized with chemical oxygen demand of 110 mg/L, sulfate of 50 mg S/L, and
varying dissolved oxygen (DO) and was fed into a moving-bed biofilm reactor
(MBBR). The MBBR was operated continuously with a short hydraulic retention
time of 40 min for 349 days. The formation rate of thiosulfate reached
0.12-0.18 g S/(m2.d) with a high produced thiosulfate-S/TdS-S ratio of 38-73%
when influent DO was 2.7-3.6 mg/L. The sludge yield was 0.23-0.29 gVSS/gCOD,
much lower than it was in conventional activated sludge processes. Then, batch
tests and metabolism analysis were conducted to confirm the oxygen effect on
thiosulfate formation, characterize the roles of sulfate and microbial
activities, and explore the mechanism of oxygen-induced thiosulfate formation
in ERATO. Results examined that oxygen supply promoted the
thiosulfate-Sproduced/TdS-Sproduced ratio from 4% to 24-26%, demonstrated that
sulfate and microbial activities were critical for thiosulfate production, and
indicated that oxygen induces thiosulfate formation through two pathways: 1)
direct sulfide oxidation, and 2) indirect sulfide oxidation, sulfide is first
oxidized to S0 (dominant) which then reacts with sulfite derived from
oxygen-regulated biological sulfate reduction. The proposed compact ERATO
process, featuring high thiosulfate production and low sludge production,
supports space- and energy-efficient secondary wastewater treatment.Comment: Written by Chu-Kuan Jiang; edited by Yang-Fan Deng, Hongxiao Guo,
Guang-Hao Chen, Di Wu; Corresponding authors: Guang-Hao Chen, Di Wu; Last
author (team leader): Guang-Hao Che
Activated NK cells kill hepatic stellate cells via p38/PI3K signaling in a TRAIL-involved degranulation manner
NK cells are important in regulating hepatic fibrosis via their cytotoxic killing of hepatic stellate
cells (HSCs). NK cells are activated by both cytokines such as IL-12 and IL-18, and innate immune
stimuli such as ligation of TLRs. The secretion of IL-18 depends upon activation of the inflammasome,
whereas TLRs are stimulated by microbial products. In the case of NK cells, IL-18 acts synergistically
with stimulation of TLR3 to cause cell activation and cytotoxic function. In the present
study, we activated NK cells to kill HSCs via IL-18 and TLR3 ligand stimulation, and dissected the
signaling pathways or molecules critical for such activation or killing. We find that such activation
depends on signaling via the p38/PI3K/AKT pathway, and that the activatedNK cells mediate
HSC death in a TRAIL-involved mechanism. As liver fibrosis is a major global health problem with
no good solution, these results emphasize that the p38/PI3K/AKT pathway in NK cells may be a
novel drug target to promote fibrosis regression
HCV core protein inhibits polarization and activity of both M1 and M2 macrophages through the TLR2 signaling pathway
Hepatitis C virus (HCV) establishes persistent infection in most infected patients, and eventually causes chronic hepatitis, cirrhosis, and hepatocellular carcinoma in some patients. Monocytes and macrophages provide the first line of defense against pathogens, but their roles in HCV infection remains unclear. We have reported that HCV core protein (HCVc) manipulates human blood-derived dendritic cell development. In the present study, we tested whether HCVc affects human blood-derived monocyte differentiating into macrophages. Results showed that HCVc inhibits monocyte differentiation to either M1 or M2 macrophages through TLR2, associated with impaired STATs signaling pathway. Moreover, HCVc inhibits phagocytosis activity of M1 and M2 macrophages, M1 macrophage-induced autologous and allogeneic CD4+ T cell activation, but promotes M2 macrophage-induced autologous and allogeneic CD4+ T cell activation. In conclusion, HCVc inhibits monocyte-derived macrophage polarization via TLR2 signaling, leading to dysfunctions of both M1 and M2 macrophages in chronic HCV infected patients. This may contribute to the mechanism of HCV persistent infection, and suggest that blockade of HCVc might be a novel therapeutic approach to treating HCV infection
Regulatory NK cells mediated between immunosuppressive monocytes and dysfunctional T cells in chronic HBV infection
Background and aims HBV infection represents a major health problem worldwide, but the immunological mechanisms by which HBV causes chronic persistent infection remain only partly understood. Recently, cell subsets with suppressive features have been recognised among monocytes and natural killer (NK) cells. Here we examine the effects of HBV on monocytes and NK cells. Methods Monocytes and NK cells derived from chronic HBV-infected patients and healthy controls were purified and characterised for phenotype, gene expression and cytokines secretion by flow cytometry, quantitative real-time (qRT)-PCR, ELISA and western blotting. Culture and coculture of monocytes and NK cells were used to determine NK cell activation, using intracellular cytokines staining. Results In chronic HBV infection, monocytes express higher levels of PD-L1, HLA-E, interleukin (IL)-10 and TGF-β, and NK cells express higher levels of PD-1, CD94 and IL-10, compared with healthy individuals. HBV employs hepatitis B surface antigen (HBsAg) to induce suppressive monocytes with HLA-E, PD-L1, IL-10 and TGF-β expression via the MyD88/NFκ B signalling pathway. HBV-treated monocytes induce NK cells to produce IL-10, via PD-L1 and HLA-E signals. Such NK cells inhibit autologous T cell activation. Conclusions Our findings reveal an immunosuppressive cascade, in which HBV generates suppressive monocytes, which initiate regulatory NK cells differentiation resulting in T cell inhibition
Differential gene expression in Schistosoma japonicum schistosomula from Wistar rats and BALB/c mice
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