In two trials in patients with moderate-to-severe plaque psoriasis, the anti–interleukin-17A monoclonal antibody secukinumab was more effective than placebo and etanercept. Infectious complications ...occurred more often with secukinumab than with placebo.
Psoriasis is a chronic, immune-mediated inflammatory skin disease that is associated with substantial impairment of physical and psychological quality of life.
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Our understanding of the pathogenesis of psoriasis was advanced by the discovery of the class of type 17 helper T (Th17) cells, which regulates innate and adaptive immunity. The proinflammatory cytokine interleukin-17A is the primary effector of Th17 cells, but it is also produced by other cell types in psoriatic lesions, including γδ T cells, neutrophils, and possibly mast cells.
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Interleukin-17A stimulates keratinocytes to secrete chemokines and other proinflammatory mediators that recruit additional inflammatory cells, including neutrophils, . . .
In this paper, we combine inertial sensing and sensor network technology to create a pedestrian dead reckoning system. The core of the system is a lightweight sensor-and-wireless-embedded device ...called NavMote that is carried by a pedestrian. The NavMote gathers information about pedestrian motion from an integrated magnetic compass and accelerometers. When the NavMote comes within range of a sensor network (composed of NetMotes), it downloads the compressed data to the network. The network relays the data via a RelayMote to an information center where the data are processed into an estimate of the pedestrian trajectory based on a dead reckoning algorithm. System details including the NavMote hardware/software, sensor network middleware services, and the dead reckoning algorithm are provided. In particular, simple but effective step detection and step length estimation methods are implemented in order to reduce computation, memory, and communication requirements on the Motes. Static and dynamic calibrations of the compass data are crucial to compensate the heading errors. The dead reckoning performance is further enhanced by wireless telemetry and map matching. Extensive testing results show that satisfactory tracking performance with relatively long operational time is achieved. The paper also serves as a brief survey on pedestrian navigation systems, sensors, and techniques.
Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recently some works try ...to explore financial news to improve the prediction. Effective indicators, e.g., the events related to the stocks and the people’s sentiments toward the market and stocks, have been proved to play important roles in the stocks’ volatility, and are extracted to feed into the prediction models for improving the prediction accuracy. However, a major limitation of previous methods is that the indicators are obtained from only a single source whose reliability might be low, or from several data sources but their interactions and correlations among the multi-sourced data are largely ignored.
In this work, we extract the events from Web news and the users’ sentiments from social media, and investigate their joint impacts on the stock price movements via a coupled matrix and tensor factorization framework. Specifically, a tensor is firstly constructed to fuse heterogeneous data and capture the intrinsic relations among the events and the investors’ sentiments. Due to the sparsity of the tensor, two auxiliary matrices, the stock quantitative feature matrix and the stock correlation matrix, are constructed and incorporated to assist the tensor decomposition. The intuition behind is that stocks that are highly correlated with each other tend to be affected by the same event. Thus, instead of conducting each stock prediction task separately and independently, we predict multiple correlated stocks simultaneously through their commonalities, which are enabled via sharing the collaboratively factorized low rank matrices between matrices and the tensor. Evaluations on the China A-share stock data and the HK stock data in the year 2015 demonstrate the effectiveness of the proposed model.
CUORE sensitivity to $$0\nu \beta \beta $$ decay Alduino, C.; Alfonso, K.; Artusa, D. R. ...
European physical journal. C, Particles and fields,
08/2017, Letnik:
77, Številka:
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Journal Article
Recenzirano
Odprti dostop
We report a study of the CUORE sensitivity to neutrinoless double beta (0νββ) decay. We used a Bayesian analysis based on a toy Monte Carlo (MC) approach to extract the exclusion sensitivity to the ...0νββ decay half-life (T1/20ν) at 90% credibility interval (CI) – i.e. the interval containing the true value of T1/20ν with 90% probability – and the 3σ discovery sensitivity. We consider various background levels and energy resolutions, and describe the influence of the data division in subsets with different background levels. If the background level and the energy resolution meet the expectation, CUORE will reach a 90% CI exclusion sensitivity of 2·1025 year with 3 months, and 9·1025 year with 5 years of live time. Under the same conditions, the discovery sensitivity after 3 months and 5 years will be 7·1024 year and 4·1025 year, respectively.
ABSTRACT We describe directed searches for continuous gravitational waves (GWs) in data from the sixth Laser Interferometer Gravitational-wave Observatory (LIGO) science data run. The targets were ...nine young supernova remnants not associated with pulsars; eight of the remnants are associated with non-pulsing suspected neutron stars. One target's parameters are uncertain enough to warrant two searches, for a total of 10. Each search covered a broad band of frequencies and first and second frequency derivatives for a fixed sky direction. The searches coherently integrated data from the two LIGO interferometers over time spans from 5.3-25.3 days using the matched-filtering -statistic. We found no evidence of GW signals. We set 95% confidence upper limits as strong (low) as 4 × 10−25 on intrinsic strain, 2 × 10−7 on fiducial ellipticity, and 4 × 10−5 on r-mode amplitude. These beat the indirect limits from energy conservation and are within the range of theoretical predictions for neutron-star ellipticities and r-mode amplitudes.
Patients with acute kidney injury frequently have pulmonary complications. Similarly ischemic acute kidney injury or bilateral nephrectomy in rodents causes lung injury characterized by pulmonary ...edema, increased pulmonary capillary leak and interstitial leukocyte infiltration. Interleukin-6 is a pro-inflammatory cytokine that is increased in the serum of patients with acute kidney injury and predicts mortality. Here we found that lung neutrophil infiltration, myeloperoxidase activity, the neutrophil chemokines KC and MIP-2 and capillary leak all increased within 4h following acute kidney injury in wild-type mice. These pathologic factors were reduced in interleukin-6-deficient mice following acute kidney injury or bilateral nephrectomy. The lungs of mutant mice had reduced KC but MIP-2 was similar to that of wild type mice. Wild-type mice, treated with an interleukin-6 inactivating antibody, had decreased lung myeloperoxidase activity and KC levels following acute kidney injury. Our study shows that interleukin-6 contributes to lung injury following acute kidney injury.
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