Search

It is a trend that the function of software radar system is defined by software in the future. However, it requires high-level computing performance of system hardware and data transmission bandwidth. In this paper, heterogeneous parallel high performance computing technology is introduced into the field of software radar. According to the system function logic, the hardware platform system of software radar is constructed, and a specific general hardware platform architecture is designed based on an advanced heterogeneous parallel computing technology. In this platform, an independent high-speed acquisition card is used to complete the acquisition and A/D (Analog-to-Digital) conversion of echo signals. FPGA blade heterogeneous servers are used to complete the real-time radar signals process. In addition, GPU heterogeneous supercomputers are integrated to realize data processing and display control. InfiniBand network and disk array provides for high-speed data transmission and storage. Through performance analysis, the hardware platform can achieve the modern radar’s performance requirements of in computing speed and transmission bandwidth.

This study aimed to analyze the feasibility of removing Alizarin red S (ARS) used as model pollutant from aqueous solutions using the preparative porous silica composites (PSCs) as adsorbents which were prepared via hydrothermal approach. The physicochemical properties of materials were characterized by means of Transmission electron microscope (TEM), Scanning electron microscope (SEM), Energy dispersive spectrometer (EDS), Brunauer-Emmett-Teller (BET) method, Barret-Joyner-Halenda (BJH) method, Fourier Transform Infrared Spectrometer (FTIR) and X-Ray Diffractometer (XRD). PSCs possessed the specific surface area were 731.6 m2/g, 420.9 m2/g, 294.6 m2/g, respectively. The presence of silica structures was confirmed by FTIR spectra. In order to confirm efficiency of composites as adsorbents and reveal adsorption mechanism, the impacts of pH, contact time, initial ARS concentration, temperature on adsorption were conducted. The adsorption experiment results showed that the adsorption efficiency of ARS onto PSC-3 was better than that of PSC-1 and PSC-2 at pH = 11. Furthermore, the adsorption kinetic models, isotherm models and thermodynamic model were analyzed for comprehensive adsorption process. The maximum adsorption capacity of PSC-3 for ARS was 43.1 mg/g. The pseudo-second-order kinetic model and Sips isotherm model were more suitable for experimental results. The adsorption process was endothermic according to the adsorption thermodynamic model. The free energy of adsorption required for ARS onto PSCs was less than 8 kJ/mol, indicating physical adsorption. What's more, PSC-3 possessed advantages of higher adsorption capacity and shorter equilibration time. Overall, these results made it potentially applicable as an effective adsorbent for ARS dye from effluent. [ABSTRACT FROM AUTHOR]

Current commercial H9 avian influenza viruses (AIVs) vaccines cannot provide satisfactory antibody titers and protective immunity against AIVs in duck. Toll like receptors (TLR) ligand as AIVs adjuvants can activate dendritic cells to improve immune responses in multiple animals, while the studies were absent in duck. Therefore, we investigated TLR ligands pam2CSK4, poly (I:C) and/or imiquimod enhance immune responses to inactivated H9N2 avian influenza antigen (H9N2 IAIV) in peripheral blood monocyte-derived dendritic cells (MoDCs) and duck. In vitro, we observed that transcription factor NF-κB, Th1/Th2 type cytokines (IFN-γ, IL-2 and IL-6) and the ability of catching H9N2 IAIV antigen were significantly up-regulated when H9N2 IAIV along with TLR ligands (pam2CSK4, poly (I:C) and imiquimod, alone or combination) in duck MoDCs. Also, the best enhancement effects were showed in combination of pam2CSK4, poly (I:C) and imiquimod group, whereas IFN-α showed no significant enhancement in all experimental groups. In vivo, the results demonstrated that the percentages of CD4+/ CD8+ T lymphocytes, the levels of Th1/Th2 type cytokines and H9N2 HI titers were significant enhanced in combination of pam2CSK4, poly (I:C) and imiquimod group. However, pam2CSK4 alone or combining with imiquimod showed no enhancement or additive effects on Th1 cytokines (IFN-γ and IL-2), Th2 cytokines (IL-6) and HI titers in Muscovy duck, respectively. Taken together, our results concluded that not all TLR ligands showed enhancement of immune responses to H9N2 IAIV in duck. The combination of poly (I:C), imiquimod and pam2CSK4 that can be an effectively adjuvant candidate for H9N2 AIVs inactivated vaccine in duck, which provide novel insights in explore waterfowl vaccine. [ABSTRACT FROM AUTHOR]

Objective. Muscle artifacts (MA) and electrode motion artifacts (EMA) in electrocardiogram (ECG) signals lead to a large number of false alarms from cardiac diagnostic systems. To reduce false alarms, it is necessary to improve the performance of the diagnostic algorithm in noisy environments by removing excessively noisy signals. However, existing methods focus on signal quality assessment and contain too many artificial features. Here, we present a novel method to flexibly eliminate noisy signals without any artificial features. Approach. Our method contains an improved lightweight deep neural network (DNN) to capture the signal portions damaged by EMA and MA, uses the sample entropy to quantize noisy portions, and discards those portions that exceed a defined threshold. Our method was tested in conjunction with Pan-Tompkins (PT), Filter Bank (FB), and 'UNSW' R-peak detection algorithms along with two heartbeat classification algorithms on datasets synthesized from the MIT-BIH Noise Stress Test Database, the China Physiological Signal Challenge 2018 Database and the MIT-BIH Arrhythmia Database. Main results. For PT R-peak detection algorithms, the sensitivity (Se) increased noticeably from 89.01% to 99.42% in the synthesized datasets with a signal-to-noise ratio of 6 dB. With the same datasets, the Se of the FB algorithm increased about 9.29%, and a 3.64% increase occurred in the Se of the 'UNSW' algorithm. For heartbeat classification algorithms, the overall F1-score increased about 6% in the synthesized one-heartbeat datasets. It is the first study to utilize a DNN to capture noisy segments of the ECG signal. Significance. Too many false alarms can cause alarm fatigue. Our method can be utilized as the preprocessing before signal analysis, thereby reducing false alarms from the ECG diagnostic systems. [ABSTRACT FROM AUTHOR]

Purpose: Oxidative stress plays a central role in heat stress-induced gastrointestinal injury. Punicalagin (PUN), a major polyphenol abundant in pomegranate fruit, husk and juice, exhibits antioxidative effects. In this study we used a heat stress model to investigate the intestinal protection effect of PUN and the underlying mechanisms.Materials and methods: IEC-6 cells were pretreated with PUN for 6 h and exposed to 42 °C for 6 h. Intracellular reactive oxygen species levels, malondialdehyde, nitrogen oxide, and superoxide dismutase activity were measured. IEC-6 cells were treated with PUN at different times and doses, the protein levels of haeme oxygenase-1 (HO-1) were evaluated. The nuclear translocation of the transcription factor NF-erythroid 2-related factor (Nrf2) and the phosphorylation level of PI3K/Akt were also investigated.Results: PUN significantly decreased the heat stress-induced cell death and apoptosis. Heat stress increased reactive oxygen species, malondialdehyde and nitrogen oxide production, while it decreased superoxide dismutase activity. These effects were markedly inversed when the cells were pretreated with PUN. Furthermore, PUN treatment induced the expression of HO-1 and increased Nrf2 nuclear translocation in a time- and dose-dependent manner. The Nrf2-related cytoprotective effects of PUN were via the PI3K/Akt signalling pathway, as LY294002, a specific PI3K/Akt inhibitor, suppressed the PUN-induced nuclear translocation of Nrf2, the HO-1 up-regulation and the protective effect of PUN against oxidative stress.Conclusions: PUN protects IEC-6 cells against oxidative stress by up-regulating the expression of HO-1 via a mechanism that involves PI3K/Akt activation and Nrf2 translocation. [ABSTRACT FROM PUBLISHER]

PurposePatchouli alcohol (PA) is used to treat gastrointestinal dysfunction. The purpose of this study was to ascertain the function of PA in the regulated process of oxidative stress in rat intestinal epithelial cells (IEC-6).Materials and methodsOxidative stress was stimulated by exposing IEC-6 cells to heat shock (42 °C for 3 h). IEC-6 cells in treatment groups were pretreated with various concentrations of PA (10, 40, and 80 ng/mL) for 3 h before heat shock.ResultsHeat shock caused damage to the morphology of IEC-6 cells, and increased reactive oxygen species (ROS) level and malondialdehyde (MDA) content. Moreover, mRNA and protein expression by target genes related to oxidative stress in heat shock were also altered. Specifically, the mRNA expression byHSP70,HSP90, GSH-px,NRF2ndHO-1were all increased, and Nrf2 and Keap1 protein expression were increased after heat shock. However, pretreatment with PA weakened the level of damage to the cellular morphology, and decreased the MDA content caused by heat shock, indicating PA had cytoprotective activities. Pretreatment with PA at high dose significantly increased generation of intracellular ROS. Compared with the heat shock group alone, PA pretreatment significantly decreased the mRNA expression byHSP70,HSP90,SOD,CAT,GSH-px,KEAP1andHO-1. Furthermore, the high dose of PA significantly increased Nrf2 protein expression, while both the intermediate and high dose of PA significantly increased HO-1 protein expression.ConclusionHeat-shock-induced oxidative stress in IEC-6 cells, and PA could alleviate the Nrf2-Keap1 cellular oxidative stress responses. [ABSTRACT FROM PUBLISHER]

Heat stress is important in the pathogenesis of intestinal epithelial barrier dysfunction. Ferulic acid (FA), a phenolic acid widely found in fruits and vegetables, can scavenge free radicals and activate cell stress responses. This study is aimed at investigating protective effects of FA on heat stress-induced dysfunction of the intestinal epithelial barrier in vitro and in vivo. Intestinal epithelial (IEC-6) cells were pretreated with FA for 4 h and then exposed to heat stress. Heat stress caused decreased transepithelial electrical resistance (TER) and increased permeability to 4-kDa fluorescein isothiocyanate (FITC)-dextran (FD4). Both effects were inhibited by FA in a dose-dependent manner. FA significantly attenuated the decrease in occludin, ZO-1 and E-cadherin expression observed with heat stress. The distortion and redistribution of occludin, ZO-1 and E-cadherin proteins were also effectively prevented by FA pretreatment. Moreover, heat stress diminished electron-dense material detected in tight junctions (TJs), an effect also alleviated by FA in a dose-dependent manner. In an in vivo heat stress model, FA (50 mg/kg) was administered to male Sprague–Dawley rats for 7 consecutive days prior to exposure to heat stress. FA pretreatment significantly attenuated the effects of heat stress on the small intestine, including the increased FD4 permeability, disrupted tight junctions and microvilli structure, and reduced occludin, ZO-1 and E-cadherin expression. Taken together, our results demonstrate that FA pretreatment is potentially protective against heat stress-induced intestinal epithelial barrier dysfunction. [ABSTRACT FROM AUTHOR]

Reactive oxygen species (ROS) and oxidative stress are thought to play a central role in potentiating macrophage activation, causing excessive inflammation, tissue damage, and sepsis. Recently, we have shown that punicalagin (PUN) exhibits anti-inflammatory activity in LPS-stimulated macrophages. However, the potential antioxidant effects of PUN in macrophages remain unclear. Revealing these effects will help understand the mechanism underlying its ability to inhibit excessive macrophage activation. Hemeoxygenase-1 (HO-1) exhibits antioxidant activity in macrophages. Therefore, we hypothesized that HO-1 is a potential target of PUN and tried to reveal its antioxidant mechanism. Here, PUN treatment increased HO-1 expression together with its upstream mediator nuclear factor-erythroid 2 p45-related factor 2 (Nrf2). However, specific inhibition of Nrf2 by brusatol (a specific Nrf2 inhibitor) dramatically blocked PUN-induced HO-1 expression. Previous research has demonstrated that the PI3K/Akt pathway plays a critical role in modulating Nrf2/HO-1 protein expression as an upstream signaling molecule. Here, LY294002, a specific PI3K/Akt inhibitor, suppressed PUN-induced HO-1 expression and led to ROS accumulation in macrophages. Furthermore, PUN inhibited LPS-induced oxidative stress in macrophages by reducing ROS and NO generation and increasing superoxide dismutase (SOD) 1 mRNA expression. These findings provide new perspectives for novel therapeutic approaches using antioxidant medicines and compounds against oxidative stress and excessive inflammatory diseases including tissue damage, sepsis, and endotoxemic shock. [ABSTRACT FROM AUTHOR]

Dysregulated activation of inflammation plays an important role in the development and progression of neuronal damage, and limiting the production of reactive oxygen species (ROS) can suppress the inflammatory signals. Nuclear factor erythroid 2-related factor 2 (Nrf2) is a redox-sensing transcription factor that drives an adaptive cellular defense in response to oxidative stress. However, the implications of Nrf2 in sodium fluoride (NaF)-stimulated microglia and the underlying mechanisms remain obscure. In this study, we demonstrated that NaF activated the Nrf2 signaling and enhanced the downstream antioxidant protein levels, including heme oxygenase-1 and quinine oxidoreductase 1. NaF induced oxidative stress, as indicated by increased ROS level and malondialdehyde content, and reduced superoxide dismutase activity. Moreover, NaF promoted the nuclear translocation of NF-κB, thus increased the production of the pro-inflammatory cytokines tumor necrosis factor-α, interleukin (IL)-6, and IL-1β. However, these effects were relieved by overexpression of Nrf2. Meanwhile, knockdown of Nrf2 by shRNA exacerbated NaF-induced oxidative stress and inflammation in BV-2 cells and primary cultured microglia. Mechanistically, NaF-induced Nrf2 activation is AMPK/p38 dependent, as deletion of AMPK using siRNA blocked the activating effect of NaF on p38 and Nrf2. Notably, treatment of N-Acety- l -Cysteine attenuated AMPK/p38-dependent Nrf2 activation in microglia exposed to NaF. In conclusion, these data demonstrated for the first time that Nrf2 activation exerts a neuroprotective effect on NaF-stimulated redox imbalance and inflammation that is dependent on the AMPK/p38 pathway. • NaF-stimulated redox imbalance and inflammation. • NaF activated the Nrf2 signaling in BV-2 cells and primary cultured microglia. • Nrf2 activation exerts a neuroprotective effect on NaF-stimulated redox imbalance and inflammation. • ROS-AMPK-p38 signaling is the upstream signaling pathway involved in NaF-induced Nrf2 activation. [ABSTRACT FROM AUTHOR]

Automatic segmentation is important for esophageal OCT image processing, which is able to provide tissue characteristics such as shape and thickness for disease diagnosis. Existing automatical segmentation methods based on deep convolutional networks may not generate accurate segmentation results due to limited training set and various layer shapes. This study proposed a novel adversarial convolutional network (ACN) to segment esophageal OCT images using a convolutional network trained by adversarial learning. The proposed framework includes a generator and a discriminator, both with U-Net alike fully convolutional architecture. The discriminator is a hybrid network that discriminates whether the generated results are real and implements pixel classification at the same time. Leveraging on the adversarial training, the discriminator becomes more powerful. In addition, the adversarial loss is able to encode high order relationships of pixels, thus eliminating the requirements of post-processing. Experiments on segmenting esophageal OCT images from guinea pigs confirmed that the ACN outperforms several deep learning frameworks in pixel classification accuracy and improves the segmentation result. The potential clinical application of ACN for detecting eosinophilic esophagitis (EoE), an esophageal disease, is also presented in the experiment., Competing Interests: The authors declare that there are no conflicts of interest related to this article., (© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.)