In order to quickly and accurately detect the instability of foundation piles on concrete Bridges, an improved convolutional neural network based image recognition method for concrete bridge pile ...foundations was proposed. In order to improve the image quality, the entropy threshold method is used to process the image, and the two-channel convolutional neural network is designed to extract the image features fully. The improved traditional Relu activation function avoids model underfitting. Support vector machine (SVM) was used to replace Softmax classifier to improve computing efficiency. The experiment of bridge pile foundation image recognition shows that the improved convolutional neural network has significantly improved the recognition rate of the real bridge pile foundation. No matter how many degrees the image is rotated, the method in this article always maintains a high recognition rate, and the recognition rate does not fluctuate much, indicating that the algorithm in this article has good robustness to rotation and translation. In summary, the average recognition rate of the 5 groups was 96.26%. The feasibility of this method in identifying bridge pile foundation is proved.
Vertically aligned nanocomposite thin films with ordered two phases, grown epitaxially on substrates, have attracted tremendous interest in the past decade. These unique nanostructured composite thin ...films with large vertical interfacial area, controllable vertical lattice strain, and defects provide an intriguing playground, allowing for the manipulation of a variety of functional properties of the materials via the interplay among strain, defect, and interface. This field has evolved from basic growth and characterization to functionality tuning as well as potential applications in energy conversion and information technology. Here, the remarkable progress achieved in vertically aligned nanocomposite thin films from a perspective of tuning functionalities through control of strain, defect, and interface is summarized.
Vertically aligned nanocomposite (VAN) thin films with controllable vertical interface, vertical lattice strain, and defects have enabled tremendous research activities in a variety of complex oxides. The remarkable progress achieved in VAN thin films is reviewed from a perspective of tuning functionalities through control of strain, defect, and interface.
Vertically aligned nanocomposite (VAN) oxide thin films have recently stimulated a significant amount of research interest owing to their novel architecture, vertical interfacial strain control and ...tunable material functionalities. In this work, the growth mechanisms of VAN thin films have been investigated by varying the composite material system, the ratio of the two constituent phases, and the thin film growth conditions including deposition temperature and oxygen pressure as well as growth rate. It has been shown that thermodynamic parameters, elastic and interfacial energies and the multiple phase ratio play dominant roles in the resulting microstructure. In addition, vertical interfacial strain has been observed in BiFeO3 (BFO)- and La0.7Sr0.3MnO3 (LSMO)-based VAN thin film systems; the vertical strain could be tuned by the growth parameters and selection of a suitable secondary phase. The tunability of physical properties such as dielectric loss in BFO:Sm2O3 VAN and low-field magnetoresistance in LSMO-based VAN systems has been demonstrated. The enhancement and tunability of those physical properties have been attributed to the unique VAN architecture and vertical strain control. These results suggest that VAN architecture with novel microstructure and unique vertical strain tuning could provide a general route for tailoring and manipulating the functionalities of oxide thin films.
Emodin is a natural occurring anthraquinone derivative isolated from roots and barks of numerous plants, molds, and lichens. It is found to be an active ingredient in different Chinese herbs ...including
Rheum palmatum
and
Polygonam multiflorum
, and it is a pleiotropic molecule with diuretic, vasorelaxant, anti-bacterial, anti-viral, anti-ulcerogenic, anti-inflammatory, and anti-cancer effects. Moreover, emodin has also been shown to have a wide activity of anti-cardiovascular diseases. It is mainly involved in multiple molecular targets such as inflammatory, anti-apoptosis, anti-hypertrophy, anti-fibrosis, anti-oxidative damage, abnormal, and excessive proliferation of smooth muscle cells in cardiovascular diseases. As a new type of cardiovascular disease treatment drug, emodin has broad application prospects. However, a large amount of evidences detailing the effect of emodin on many signaling pathways and cellular functions in cardiovascular disease, the overall understanding of its mechanisms of action remains elusive. In addition, by describing the evidence of the effects of emodin in detail, the toxicity and poor oral bioavailability of mice have been continuously discovered. This review aims to describe a timely overview of emodin related to the treatment of cardiovascular disease. The emphasis is to summarize the pharmacological effects of emodin as an anti-cardiovascular drug, as well as the targets and its potential mechanisms. Furthermore, the treatment of emodin compared with conventional cardiovascular drugs or target inhibitors, the toxicity, pharmacokinetics and derivatives of emodin were discussed.
Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete text data mining method in high-dimensional data ...space is proposed. First of all, through the data preparation and preprocessing step, we obtain the minimum data divergence and maximize the data dimension to meet the demand for data in high-dimensional space; second, we use the information gain method to mine the pre-processed discrete text data to establish an objective function to obtain the highest information gain; finally, the objective functions established in data preparation, preprocessing, and mining are combined to form a multi-objective optimization problem to realize local discrete text data mining. The simulation experiment results show that our method effectively reduces the time and improves the accuracy of data mining, where it also consumes less memory, indicating that the multi-objective optimization method can effectively solve multiple problems and effectively improve the data mining effect.
This study was to investigate the incidence, survival and prognostic factors of cervical cancer with distant organ metastasis, and to develop a nomogram to predict the prognosis of cervical cancer. ...We used the Surveillance, Epidemiology and End Results (SEER) database to screen patients diagnosed with cervical cancer from 2010 to 2014. The chi-squared test was used to analyse the differences in clinical characteristics, and we used Kaplan-Meier methods to perform survival analysis. Univariate and multivariate Cox proportional hazard regression models were used to estimate prognostic factors, and we developed a visual nomogram to judge the prognosis. We found that lung metastasis was the most common in cervical cancer patients with distant organ metastasis. Age, race, characteristics of the tumour, and therapy should be considered when analysing the prognosis of cervical cancer patients. The findings of this study may help clinicians to formulate individualised treatment strategies.
Impact Statement
What is already known on this subject? Distant organ metastasis of cervical cancer mainly involves lung, bone, liver and brain. Once it occurs, the survival and prognosis will be threatened seriously.
What the results of this study add? 4176 patients were included, and lung metastasis was the most common in cervical cancer with distant organ metastasis (3.5%). Additionally, age, race, tumour grade, histological type, T-stage, N-stage, lung, liver and bone metastasis and the treatment mode are significantly related to the outcomes of cervical cancer patients. Furthermore, we developed a nomogram that could predict the probability of three-year and five-year OS.
What the implications are of these findings for clinical practice and/or further research? The findings of this study may drive more and more studies focussing on the comprehensive prognostic assessment, diagnosis, and treatment of distant metastasis of cervical cancer. Besides, clinicians can utilise these findings to formulate individualised treatment strategies.
Abstract
Cervical cancer is one of the most prevalent gynecological malignancies. Although the functions of long non-coding RNA (lncRNA) plasmacytoma variant translocation 1 (PVT1) and c-Myc in ...tumorigenesis have been acknowledged, the roles of c-Myc and lncRNA-PVT1 in the proliferation of cervical cancer are still unclear. Our study is designed to demonstrate the regulatory network involving c-Myc and lncRNA-PVT1 in cervical cancer. Quantitative real-time PCR and western blot assays were performed in our research to estimate the expression levels of RNA and proteins. CCK8 assays were applied to demonstrate the viability of HeLa and SiHa cells. Immunofluorescence assay was then used to investigate the co-localization of lncRNA-PVT1 and miR-486-3p. Binding of c-Myc to the promoter region of PVT1 was identified by ChIP-assay. Functionally, upregulation of lncRNA-PVT1 enhanced the proliferation and viability of cervical cancer cells. Mechanistically, lncRNA-PVT1 sponged miR-486-3p and released its repression of extracellular matrix protein 1. Besides, c-Myc functioned as an activator of lncRNA-PVT1 and upregulated its expression by binding to the promoter of PVT1 in cervical cancer cells. lncRNA-PVT1 was upregulated by c-Myc and thus enhanced the proliferation of cervical cancer cells by sponging miR-486-3p.
The design of hydrogels with controllable drug-release properties remains challenging. Here we report a hydrogel made of hierarchical graphene oxide sheets and peptide assemblies for on-demand drug ...release. The hydrogel possesses high drug-sustainability and the release of drugs can be precisely and remotely controlled through external stimuli.
Mechanical flexibility of electronic devices has attracted much attention from research due to the great demand in practical applications and rich commercial value. Integration of functional oxide ...materials in flexible polymer materials has proven an effective way to achieve flexibility of functional electronic devices. However, the chemical and mechanical incompatibilities at the interfaces of dissimilar materials make it still a big challenge to synthesize high‐quality single‐crystalline oxide thin film directly on flexible polymer substrates. This study reports an improved method that is employed to successfully transfer a centimeter‐scaled single‐crystalline LiFe5O8 thin film on polyimide substrate. Structural characterizations show that the transferred films have essentially no difference in comparison with the as‐grown films with respect to the microstructure. In particular, the transferred LiFe5O8 films exhibit excellent magnetic properties under various mechanical bending statuses and show excellent fatigue properties during the bending cycle tests. These results demonstrate that the improved transfer method provides an effective way to compose single‐crystalline functional oxide thin films onto flexible substrates for applications in flexible and wearable electronics.
Flexible centimeter‐scaled single‐crystalline spinel ferrite oxide thin films are transferred onto plastic substrates using a simple method. The transferred thin films exhibit not only excellent fatigue property but also stable magnetic properties even under various bending statuses. The results provide evidence for a practical way to transfer target single‐crystalline functional oxide thin films onto flexible substrates for applications in flexible and wearable electronics.
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