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Estimation and monitoring of cable tension is of great significance in the structural assessment of cable-supported bridges. For short cables, the traditional cable tension identification method via frequency measurement has large errors due to the influence of complex boundaries, which affect the accuracy of estimation. A new cable tension estimation method based on mode shape identification with a multiple sensor arrangement on the cable can take the influence of boundary conditions into account and its accuracy has been verified. However, it requires more sensors compared to the traditional frequency-based method, which will significantly increase the cost of long-term monitoring in practice. Therefore, a novel approach for cable tension monitoring considering both cost and accuracy is further proposed in this study. The approach adopts multiple sensors to measure the influence of boundary conditions. Then, only a single sensor is required for long-term monitoring of the cable. In this paper, an analytical model of the cable is firstly established. The influence of boundary conditions is calculated, which ensures the accuracy of mode shape identification. Furthermore, a field experiment is carried out to verify the effectiveness of the new approach. The results have demonstrated the effectiveness and accurateness of the proposed method in long-term short cable tension monitoring. [ABSTRACT FROM AUTHOR]

Mefatinib (MET306) is a novel second-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) designed to address the highly unmet clinical need of gefitinib-induced resistance and irreversibly bind to mutated tyrosine kinase domain of EGFR and human epidermal growth factor receptor 2 (HER2). In this study, a liquid chromatography–tandem mass spectrometry method was established and validated for determining MET306 in non-small cell lung cancer patients and a backpropagation artificial neural network was developed and constructed to predict the pharmacokinetic process. The mobile phase was water containing 5 mM ammonium acetate and acetonitrile at a flow rate of 0.3 mL min−1, within a 4.5 min run time. MET306 was separated on a Hypersil Gold-C18 at 40 °C and subjected to mass analysis using positive electrospray ionization. A total of 524 data were used as development groups and 145 data were used as testing groups. The final established Northern Goshawk Optimization-Backpropagation Artificial Neural Network (NGO-BPANN) model consisted of one input layer with 6 neurons, 1 hidden layer with 10 nodes, and 1 output layer with one node processed by MATLAB2021a.The calibration range of MET306 was 0.5–200 ng mL−1 with the correlation coefficient r ≥ 0.99. Accuracies ranged from 97.20 to 110.80% and the inter- and intra-assay precision were less than 15%. The ranges of extraction recoveries were 104.95% to 112.09% for analyte and internal standard and there was no significant matrix effect. The storage stability under different conditions was in accordance with the bioanalytical guidelines. The time-concentration profiles of the measured and predicted concentrations of MET306 by NGO-BPANN agree well. An NGO-BPANN model was developed to predict the plasma concentration and pharmacokinetic parameters of MET306 in the first time. [ABSTRACT FROM AUTHOR]

This study presents a generative adversarial network (GAN) called conditional Wasserstein GAN‐gradient penalty (CWGAN‐GP)&DenseNet and ResNet, and a convolutional neural network (CNN) called improved CNN to complete underwater sonar image classification. Specifically, to solve the problem of insufficient underwater sonar image data, the CWGAN‐GP&DR is developed to expand underwater sonar image data set. Besides, to improve the analysis and utilisation of the feature map and reduce the misclassification rate of categories with similar probabilities, improved CNN is proposed to complete the final underwater sonar image classification. Finally, compared with other methods, the CWGAN‐GP&DR generate better underwater sonar images and effectively expand the underwater sonar image data set. Moreover, compared with the original data set and other expanded data set, the highest accuracy rate of 85.00% can be obtained on the CWGAN‐GP&DR expanded data set by CNN. Furthermore, CNN, CNN‐bais and improved CNN are used to perform classification experiments on each data set, and the accuracy of the improved CNN is the highest on all data sets and reached the highest accuracy of 87.71% on CWGAN‐GP&DR expanded data set. The experimental results demonstrate that the proposed method can effectively improve the performance of underwater sonar image classification. [ABSTRACT FROM AUTHOR]

[Display omitted] Ce-based three-dimensional (3D) mesoporous microspheres with Mn homogeneous incorporation were synthesized. The CeMn-0.4, characterized by a Ce/Mn molar ratio of 6:4, demonstrated exceptional catalytic activity and stability. The formation of CeMn solid solution strengthened the Ce-Mn interaction, yielding higher concentrations of Ce3+ and Mn4+. Mn4+ initiated toluene preliminary activation owing to its robust oxidative properties, while Ce3+ contributed to oxygen vacancy generation, enhancing the activation of gaseous oxygen and lattice oxygen mobility. Integrating experiments and Density Functional Theory (DFT) calculations elucidated the oxygen reaction mechanisms. A portion of oxygen was converted into surface reactive oxygen species (O ads) that directly oxidized toluene. Additionally, the presence of oxygen vacancies promoted the participation of oxygen in toluene oxidation by converting it into lattice oxygen, which was crucial for the deep oxidation of toluene. Diffuse Reflectance Fourier Transform Infrared Spectroscopy (DRIFTS) indicated the accumulation of benzene-ring intermediates on the catalyst surface hindered continuous toluene oxidation. Thus, the abundant oxygen vacancies in CeMn-0.4 played a pivotal role in sustaining the oxidation process by bolstering the activation of gaseous oxygen and the mobility of lattice oxygen. [ABSTRACT FROM AUTHOR]

Abstract: In this paper, we give a new method to solve the quantum colored Yang–Baxter matrix equation (QCYBE), and a class of solutions to the QCYBE is given. [Copyright &y& Elsevier]

Conductive hydrogels have attracted considerable attention due to their promising applications in a variety of fields. However, conductive hydrogels prepared by conventional strategies usually suffer from poor mechanical properties and low fatigue resistance. In this study, a synergistic strategy to fabricate macroporous conductive hydrogels (PC‐hydrogels) by introducing macroporous structure to the hydrogels is reported. The polypyrrole can distribute uniformly in the hydrogel network, thus endowing the hydrogels with good electrical conductivity and outstanding fatigue resistance. Moreover, the combination of stiff polypyrrole and soft hydrogel network can enhance the mechanical properties of the hydrogel. As a result, the PC‐hydrogels show negligible performance degradation after being compressed for more than 1200 cycles. Furthermore, the PC‐hydrogels‐based sensors can detect a variety of human motions with different intensities and ranges. The outstanding mechanical reliability and electrical conductivity make these PC‐hydrogels suitable for application in areas of strain sensors and wearable devices. Macroporous conductive hydrogels (PC‐hydrogels) that combine stiff conductive polymers with a soft hydrogel network in the porous structure possess outstanding mechanical durability. The conductivity shows strong strain dependence which results in the strain sensor based on PC‐hydrogels that can detect a variety of human motions with different intensities and ranges, such as standing, walking, running, and jumping. [ABSTRACT FROM AUTHOR]

Aims: To investigate the drug‐drug interaction (DDI) of ciprofol injectable emulsion and mefenamic acid capsules in healthy subjects. Methods: Twenty healthy subjects were enrolled in this single‐centre, open‐label, two‐period DDI study. Ciprofol (0.4 mg kg−1) was administered as a single dose on days 1 and 5. A 500‐mg oral loading dose of mefenamic acid was given on day 4 followed by a 250‐mg maintenance dose every 6 h (a total of eight doses). Blood samples for pharmacokinetic analyses were collected. Depth of anaesthesia was monitored using the Modified Observer's Assessment of Alertness and Sedation (MOAA/S) scale and Bispectral Index scores (BISs). Results: Compared with administration of ciprofol alone, administration with mefenamic acid showed no significant difference in exposure. The geometric mean ratios (GMRs) and their 90% confidence intervals (CIs) for maximum plasma concentration (Cmax), area under the plasma concentration‐time curve calculated from 0 to the last measurement point (AUC0‐last) and AUC to infinity (AUC0‐inf) were 91.6% (86.5‐96.9%), 103.3% (100.3‐106.4%) and 107.0% (101.2‐113.2%), respectively. The MOAA/S and BIS curves for the two treatment periods essentially coincided, indicating that the anaesthesia effect of ciprofol was not affected by mefenamic acid. Seven subjects (35%) reported eight adverse events (AEs) when ciprorol was administered alone and 12 subjects (60%) reported 18 AEs when ciprofol was administered in combination with mefenamic acid. All AEs were mild. Conclusions: Mefenamic acid, a UGT1A9 inhibitor, had no significant effect on the pharmacokinetics and pharmacodynamics of ciprofol in healthy subjects. Ciprofol was safe and well tolerated when administered with mefenamic acid. [ABSTRACT FROM AUTHOR]

With the increasing popularity of fuel cells, improving their power density and the fuel cell system efficiency has become very topical. This study used the curved wing vortex generator to generate a secondary flow in the cathode flow channel to improve the performance of the proton exchange membrane fuel cell (PEMFC). The curved wing's structure and arrangement effects on the performance of fuel cells were numerically simulated. Next, to summarize the combined effects of cathode operating conditions on the performance of PEMFC, this study used the response surface method to assess the influence of operating conditions variables on the performance target of PEMFC with curved wings. The combined effects of cathode operating conditions, namely temperature, pressure, reactant stoichiometry, and relative humidity, on the system efficiency and power density of the fuel cell system were investigated. The predictive correlations between these variables were also fitted. The installation of curved wings promoted the diffusion of reactants, as well as improved the uniformity of temperature distribution and the discharge of liquid water in the fuel cell, enhancing its overall performance. Among the four operating parameters under study, the most significant effect on the fuel cell power density was provided by the temperature, followed by pressure, humidity, and reactant stoichiometry. The fuel cell efficiency was the most significantly improved by increasing the relative humidity, while temperature increase had the second‐best impact, followed by pressure, and reactant stoichiometry. [ABSTRACT FROM AUTHOR]

Enhancing the resistance of SCR (Selective Catalytic Reduction) catalyst to K poisoning can be effectively achieved through modification. This study investigated the impact of transition metal modification on improving the ability of Ce/TiO 2 (CT) catalysts to resist K poisoning by DFT (Density functional theory) calculations. Mo-, Nb-, and W-doping could effectively suppress the adsorption of K. O v (oxygen vacancy) formation and hydrogenation reactions were both facilitated due to the modification of Cu, Co and Sb. The Cu-doping had a significant contribution to the adsorption of NH 3 and NO, and showed the best resistance to K poisoning in the adsorption of reactive species. Additionally, Cu-doping decreased the energy barriers for NH 3 dehydrogenation, NH 2 NO generation and decomposition, and NO 2 formation on CT catalyst, and weakened the inhibition effect of K on the above elementary reactions. Consequently, this provided an effective improvement in the k-poisoning tolerance of the CT catalysts. [Display omitted] • A method for screening modified elements based on DFT calculation was reported. • M-doping benefits hydrogenation, oxygen vacancy formation, and adsorption of NH 3 /NO. • M-doping mitigated the toxic effect of K in adsorption energy and energy barrier. • The modification effect of Cu was better than that of Co, Sb, Mo, Zr, Nb, W. • CCuT extremely weakened the inhibition of E-R and L-H mechanisms by K. [ABSTRACT FROM AUTHOR]

Abstract: In this paper, we give a new method to solve the quantum coloured Yang–Baxter matrix equation (QCYBE), and the general solution for a kind of QCYBE is given. [Copyright &y& Elsevier]

Long-term studies have shown that virus infection affects the energy metabolism of host cells, which mainly affects the function of mitochondria and leads to the hydrolysis of ATP in host cells, but it is not clear how virus infection participates in mitochondrial energy metabolism in host cells. In our study, HUVEC cells were infected with HSV-1, and the differentially expressed genes were obtained by microarray analysis and data analysis. The viral gene encoding protein UL16 was identified to interact with host protein ANT2 by immunoprecipitation and mass spectrometry. We also reported that UL16 transfection promoted oxidative phosphorylation of glucose and significantly increased intracellular ATP content. Furthermore, UL16 was transfected into the HUVEC cell model with mitochondrial dysfunction induced by d-Gal, and it was found that UL16 could restore the mitochondrial function of cells. It was first discovered that viral protein UL16 could enhance mitochondrial function in mammalian cells by promoting mitochondrial metabolism. This study provides a theoretical basis for the prevention and treatment of mitochondrial dysfunction or the pathological process related to mitochondrial dysfunction. [ABSTRACT FROM AUTHOR]

The success of clustering algorithms in object segmentation depends on the quality of the evaluation criterion. However, sonar images are seriously affected by noise. Most of the existing evaluation criteria such as the Davies Bouldin (DB) criterion only considers their pixel value, and sonar image information extraction is not sufficient. As a result, they fail to achieve good underwater object segmentation results. To overcome this problem, this study proposes an improved DB criterion with pulse ‐coupled neural network (PCNN), which is called the DB‐PCNN. In the calculation process of DB‐PCNN, the role of internal activity items in PCNN is considered, which can make better use of pixel information in adjacent space on the sonar image. The experimental results show that DB‐PCNN can further improve the accuracy of underwater object segmentation and has certain adaptability to different optimisation frameworks. [ABSTRACT FROM AUTHOR]

The success of clustering algorithms in object segmentation depends on the quality of the evaluation criterion. However, sonar images are seriously affected by noise. Most of the existing evaluation criteria such as the Davies Bouldin (DB) criterion only considers their pixel value, and sonar image information extraction is not sufficient. As a result, they fail to achieve good underwater object segmentation results. To overcome this problem, this study proposes an improved DB criterion with pulse -coupled neural network (PCNN), which is called the DB-PCNN. In the calculation process of DB-PCNN, the role of internal activity items in PCNN is considered, which can make better use of pixel information in adjacent space on the sonar image. The experimental results show that DB-PCNN can further improve the accuracy of underwater object segmentation and has certain adaptability to different optimisation frameworks. [ABSTRACT FROM AUTHOR]

In order to improve the high-temperature performance, antiaging performance, and storage stability of rubber asphalt, nano-organic montmorillonite (NOMMT) was mixed with rubber asphalt. Macroscopic influences of NOMMT on rubber asphalt were measured through penetration, softening point, ductility, rotational viscosity tests, dynamic shear rheology test, and bending beam rheology test at low temperature and were conducted on rubber asphalt with different contents of NOMMT. Then, the microscopic mechanism of NOMMT on the microscopic performance of rubber asphalt was studied through using scanning electron microscopy (SEM), infrared spectroscopy (IR), and differential scanning calorimetry (DSC). The results showed that the rubber particles were smoother, uniform, and dispersed after NOMMT was introduced, and the compatibility between NOMMT and crumbed rubber powder was good. Some stable structures were formed in the composite modified asphalt. The disappearance of alcohol phenol and the increase in related groups such as alkane, benzene, and hydrocarbon indicated that chemical reaction occurred between NOMMT and rubber asphalt, resulting in the changes of the performance of the composite modified system, so that high-temperature stability, antiaging properties, and storage stability were improved but its low-temperature performance was decreased. [ABSTRACT FROM AUTHOR]