Abstract
This paper designs a temperature control system. AT90S8535 is a kind of excellent performance and has the development potential of microcontrollers. In this paper, the artificial ...intelligence algorithm and PID adaptive algorithm are used to optimize the system control process. Fuzzy rules are used to adjust PID in the control system. Control parameters can be set automatically. This new algorithm can eliminate the phenomenon of PID saturation integral and improve the response speed while reducing overshoot. The system is stable, reliable, and easy to install. It can effectively realize remote temperature acquisition and control with low cost and low power consumption of terminal nodes. The system achieves the purpose of safe and reliable data transmission.
Autophagy, as an important non-selective degradation mechanism, could promote tumor initiation and progression by maintaining cellular homeostasis and the cell metabolism as well as cell viability. ...CircCDR1as has been shown to function as an oncogene in cancer progression, however, it remains largely unknown as to how autophagy is regulated by circCDR1as in oral squamous cell carcinoma (OSCC). In this study, we validated the functional roles of circCDR1as in regulation of autophagy in OSCC cells and further investigated how circCDR1as contributed to cell survival via up-regulating autophagy under a hypoxic microenvironment by using combination of human tissue model, in vitro cell experiments and in vivo mice model. We found that hypoxia promoted the expression level of circCDR1as in OSCC cells and elevated autophagy. In addition, circCDR1as further increased hypoxia-mediated autophagy by targeting multiple key regulators of autophagy. We revealed that circCDR1as enhanced autophagy in OSCC cells via inhibition of rapamycin (mTOR) activity and upregulation of AKT and ERK
pathways. Overexpression of circCDR1as enhanced OSCC cells viability, endoplasmic reticulum (ER) stress, and inhibited cell apoptosis under a hypoxic microenvironment. Moreover, circCDR1as promoted autophagy in OSCC cells by sponging miR-671-5p. Collectively, these results revealed that high expression of circCDR1as enhanced the viability of OSCC cells under a hypoxic microenvironment by promoting autophagy, suggesting a novel treatment strategy involving circCDR1as and the inhibition of autophagy in OSCC cells.
Aim
To investigate the abnormalities of the upper gastrointestinal tract in liver transplant (LT) recipients, especially the prevalence of Helicobacter pylori infection and the incidence of chronic ...atrophic gastritis (CAG), and to explore the efficacy and safety of H pylori eradication treatment.
Methods
Endoscopic screening was performed prospectively on LT recipients who received regular follow‐up in our center. A group of healthy subjects with same age and sex was selected as a control group at a ratio of 1:3 with propensity score matching. All H pylori‐positive recipients received Bismuth‐containing quadruple therapy (esomeprazole 20 mg + clarithromycin 500 mg + amoxicillin 1 g + bismuth 220 mg, all of the medicines were applied twice daily, for 14 days).
Result
The prevalence of H pylori infection was significantly lower in LT group than control group 12/102 (11.8%) vs 98/306 (32.0%), P < .001, whereas the prevalence of CAG was similar between the two groups 48/102 (47.1%) vs 138/306 (45.1%), P = .731. Meanwhile, the incidence of reflux esophagitis 18/102 (17.6%) vs 31/306 (10.1%), P = .043 and bile regurgitation 19/102 (18.6%) vs 30/306 (9.8%), P = .018 were higher in LT group. No correlation between the incidence of upper gastroduodenal abnormalities and postoperative time after liver transplantation was found. The success rate of H pylori eradication therapy was 100% (10/10). The blood concentration of immunosuppressants was 1.7‐3.6 times above baseline values during H pylori eradication therapy; however, no severe adverse effects were observed during the proceed with dose adjustments of the immunosuppressants.
Conclusion
Although the prevalence of H pylori infection was lower in LT recipients than in control subjects, the prevalence of CAG was like that of the general population. H pylori eradication therapy was safe and effective after liver transplantation in our preliminary study.
A new microwave device called the cascaded type of coupled resonator decoupling network (C-CRDN) is proposed in this paper. The four-port device can be used to reduce the interference between two ...radio systems that work in adjacent or even contiguous frequency bands. A C-CRDN is cascaded between the two antennas to be decoupled and the I/O ports of their radio systems, respectively. The coupling matrix of a C-CRDN can be designed to meet the required isolation and return-loss specifications. To prove the concept, a fourth- and sixth-order C-CRDN using coaxial combline cavities are designed, fabricated, and measured according to the characteristics of a testing array that consists of two high-gain sleeve dipoles working in the adjacent time-division long-term evolution and wireless fidelity bands. The measured results have demonstrated that the proposed C-CRDN can effectively mitigate the coexistence interference between the two collocated systems by providing at least 20-dB isolation improvement and enhanced matching performance. The proposed technique is general and can find many applications in heterogeneous wireless systems.
Optical encryption based on single-pixel imaging (SPI) has made great advances with the introduction of deep learning. However, the use of deep neural networks usually requires a long training time, ...and the networks need to be retrained once the target scene changes. With this in mind, we propose an SPI encryption scheme based on an attention-inserted physics-driven neural network. Here, an attention module is used to encrypt the single-pixel measurement value sequences of two images, together with a sequence of cryptographic keys, into a one-dimensional ciphertext signal to complete image encryption. Then, the encrypted signal is fed into a physics-driven neural network for high-fidelity decoding (i.e., decryption). This scheme eliminates the need for pre-training the network and gives more freedom to spatial modulation. Both simulation and experimental results have demonstrated the feasibility and eavesdropping resistance of this scheme. Thus, it will lead SPI-based optical encryption closer to intelligent deep encryption.
Heterogeneous activation of persulfate by Cu-hemin MOFs/BN under visible-light irradiation.
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•Bio-inspired hemin-MOFs supported on 2D boron nitride (BN) were successfully ...fabricated.•The Cu-hemin MOFs/BN composites with both Cu and Fe active sites showed an enhanced catalytic activity for PS activation.•Reaction conditions were optimized considering the effects of initial pH, catalyst concentration and PS dosage.•ESR analysis and quenching experiments revealed the SO4– and OH were responsible for the BPA degradation.
The wide variety applications of Bisphenol A (BPA) have resulted in the world wide concerns because of its toxicity and estrogenic activity. Thus, it is critical to explore efficient method for the degradation of BPA. In this study, biomimetic metal-organic-frameworks (MOFs), composed of hemin as the organic linkage and copper ions as the nodes, supported on two-dimensional boron nitride (BN) have been fabricated via facile one-pot hydrothermal approach. The multifunctional Cu-hemin-MOFs/BN composites were applied to activate persulfate (PS) for the degradation of bisphenol A (BPA). Results showed that over 99% of BPA (40 mg/L) was degraded in 30 min under visible-light irradiation with a fast degradation kinetic (0.10 min−1). As compared with the traditional homogeneous catalysts, these Cu-hemin-MOFs based heterogeneous catalysts hold the advantages of high efficiency, easily separation, recycle and reuse without introducing secondary pollution. The BN not only acted as stabilizer to support the hemin-MOFs but also worked as adsorbents for the pre-concentration of the pollutants. Meanwhile, Cu-hemin-MOFs with dual active sites of the Fe and Cu were responsible for the PS activation, leading to the efficient degradation of BPA. Electron spin resonance (ESR) and radicals quenching experiments revealed the SO4– and OH were the main active radicals for the BPA oxidation. These findings indicated the synergistically combination of the hemin-MOFs with the 2D BN nanoplates endowed the composites with multifunctional properties, leading to the excellent catalytic activity for the oxidation of pollutants. This study provides new insights into the design and fabrication of novel MOF-based heterogeneous catalysts for the application in environmental remediation.
Basically, Mg–Al layered double hydroxide (LDH) coatings are prepared on the surface of micro-arc oxidation (MAO) coated magnesium (Mg) alloys at a high temperature or a low pH value. This scenario ...leads to the growth rate of LDH coating inferior to the dissolution rate of the MAO coating. This in turn results in limited corrosion resistance of the composite coating. In this study, a Mg–Al LDH coating on MAO-coated Mg alloy AZ31 is prepared through a water bath with a higher pH (13.76) at a lower temperature (60 °C). FE-SEM, EDS, XRD, XPS, and FT-IR are applied to analyze the surface morphology, chemical compositions, and growth process. Electrochemical polarization, electrochemical impedance spectroscopy (EIS) and hydrogen evolution tests are employed to evaluate the corrosion resistance of the samples. The results disclose that the MAO coating is completely covered by the nanosheet-structured LDH coating with a thickness of approximately 3.8 μm. The corrosion current density of the MAO-LDH composite coating is decreased four orders of magnitude in comparison to its substrate; the presence of a wide passivation region in anodic polarization branch demonstrates its strong self-healing ability, indicating the hybrid coating possesses excellent corrosion resistance. The formation mechanism of the LDH coating on the MAO-coated Mg alloy is proposed. Furthermore, the cytocompatibility is assessed via an indirect extraction test for MC3T3-E1 pre-osteoblasts, which indicates an acceptable cytocompatibility of osteoblasts for the composite coating.
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•High pH and low temperature balance MAO dissolution rate and LDH growth rate.•EDTA-2Na accelerates the growth of LDH.•MAO-LDH coating shows a wider passivation zone and a seal-healing ability.•MAO-LDH coating has an acceptable biocompatibility for MC3T3-E1 osteoblasts.•The growth mechanism of MAO-LDH coating is proposed.
Acetaminophen (APAP) overdose is the most frequent cause of drug-induced acute liver failure. The purpose of this study was to investigate whether paeonol protected against APAP-induced ...hepatotoxicity. Mice treated with paeonol (25, 50, 100 mg/kg) received 400 mg/kg acetaminophen intraperitoneally (i.p.) and hepatotoxicity was assessed. Pre-treatment with paeonol for 6 and 24 h ameliorated APAP-induced hepatic necrosis and significantly reduced the serum alanine aminotransferase (ALT) and aspartate transaminase (AST) levels in a dose-dependent manner. Post-treatment with 100 mg/kg paeonol ameliorated APAP-induced hepatic necrosis and reduced AST and ALT levels in the serum after APAP administration for 24 h. Western blot revealed that paeonol inhibited APAP-induced phosphorylated JNK protein expression but not p38 and Erk1/2. Moreover, paeonol showed anti-oxidant activities with reducing hepatic MDA contents and increasing hepatic SOD, GSH-PX and GSH levels. Paeonol dose-dependently prevented against H2O2 or APAP-induced LDH releasing and ROS production in primary mouse hepatocytes. In addition, the mRNA levels of pro-inflammatory genes such as TNF-α, MCP-1, IL-1β and IL-6 in the liver were dose-dependently reduced by paeonol pre-treatment. Pre-treatment with paeonol significantly inhibited IKKα/β, IκBα and p65 phosphorylation which contributed to ameliorating APAP-induced hepatic inflammation. Collectively, the present study demonstrates paeonol has a protective ability against APAP-induced hepatotoxicity and might be an effective candidate compound against drug-induced acute liver failure.
Objective
This study aimed to quantitatively evaluate the left ventricular myocardial work of patients with chronic kidney disease (CKD) by echocardiographic pressure–strain loop (PSL) analysis.
...Methods
Ninety‐three patients with CKD and forty‐two age‐ and sex‐matched controls were included in the study. CKD patients were divided into group 1 (stages 2–4) and group 2 (stage 5). Left ventricular blood pressure was estimated noninvasively according to echocardiographic valvular events and brachial artery systolic pressure. Left ventricular myocardial work parameters were acquired by echocardiographic PSL analysis.
Results
The CKD groups had a significantly lower global work index (WI), global work efficiency (GWE), global constructive strain (GCW) and global longitudinal strain (GLS) and higher global waste work (GWW) than the control group. Segmental analysis showed that the myocardial WI, work efficiency (WE), and constructive work (CW) were lower in group 2 than the control group (P < .05), while the regional myocardial waste work (WW) was higher (P < .05). A Pearson correlation analysis revealed that GWE and GWW have good correlations with the LVEF and GLS. A multiple regression analysis showed that the systolic blood pressure (SBP), estimated glomerular filtration rate (eGFR), end‐diastolic volume (EDV), and GLS were associated with global work index (GWI) (b′ = 0.476, 0.252, −0.407, and −0.355, P < .05).
Conclusions
Left ventricular PSL analysis can be applied to assess global and regional myocardial work in CKD patients. This approach may serve as a noninvasive method for the detection of left ventricular systolic dysfunction at an early stage.
•Machine learning (ML) models can determine the rainfall flooding threshold as a line. projected in a plane spanned by two principal components, thereby providing a binary result (flood or no ...flood).•Compared to the conventional critical rainfall curve, the proposed models, especially the subspace discriminant analysis, greatly raise the accuracy (ACC) to 96.5% and lowering the false alert rate to 25%.•Rainfall threshold based flood prediction can be executed rapidly and simply, this method allows decision makers time for a high-level assessment of flood risk, providing valuable lead time for citizens in the flood-prone areas to be warned.
Urban pluvial flooding is a threatening natural hazard in urban areas all over the world, especially in recent years given its increasing frequency of occurrence. In order to prevent flood occurrence and mitigate the subsequent aftermath, urban water managers aim to predict precipitation characteristics, including peak intensity, arrival time and duration, so that they can further warn inhabitants in risky areas and take emergency actions when forecasting a pluvial flood. Previous studies that dealt with the prediction of urban pluvial flooding are mainly based on hydrological or hydraulic models, requiring a large volume of data for simulation accuracy. These methods are computationally expensive. Using a rainfall threshold to predict flooding based on a data-driven approach can decrease the computational complexity to a great extent. In order to prepare cities for frequent pluvial flood events – especially in the future climate – this paper uses a rainfall threshold for classifying flood vs. non-flood events, based on machine learning (ML) approaches, applied to a case study of Shenzhen city in China. In doing so, ML models can determine several rainfall threshold lines projected in a plane spanned by two principal components, which provides a binary result (flood or no flood). Compared to the conventional critical rainfall curve, the proposed models, especially the subspace discriminant analysis, can classify flooding and non-flooding by different combinations of multiple-resolution rainfall intensities, greatly raising the accuracy to 96.5% and lowering the false alert rate to 25%. Compared to the conventional model, the critical indices of accuracy and true positive rate (TPR) were 5%-15% higher in ML models. Such models are applicable to other urban catchments as well. The results are expected to be used to assist early warning systems and provide rational information for contingency and emergency planning.
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