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MicroRNA (miR)-224-5p has been reported to be associated with multiple types of cancer. However, its biological role and underlying mechanism in hepatocellular carcinoma (HCC) has yet to be fully elucidated. The aim of the present study was to investigate whether miR-224-5p mRNA expression level was increased in hepatocellular carcinoma and whether it was associated with poor prognosis. Decreased mRNA expression level of miR-224-5p was shown to suppress liver cancer cell migration, invasion and epithelial-mesenchymal transition (EMT). Mechanistically, E2F1 was found to regulate miR-224-5p expression by binding to its promoter region. Melanoregulin (MREG) was identified as the direct target of miR-224-5p by searching the TargetScan, miRDB and StarBase databases. Overexpression of MREG could attenuate liver cancer cell migration, invasion and EMT. Rescue experiments further confirmed that MREG was associated with the regulation of miR-224-5p in liver cancer. In addition, the E2F1/miR-224-5p axis was shown to promote liver cancer cell migration, invasion and EMT by regulating MREG expression. These results suggested that E2F1-induced upregulation of miR-224-5p may serve an important role in MREG-induced liver cancer cell migration, invasion and EMT, and highlights the regulatory function of miR-224-5p in liver cancer. Therefore, the E2F1/miR-224-5p/MREG axis may provide a theoretical basis for the clinical treatment of hepatocellular carcinoma.

Additional file 2.

As a public cultural institution, the task of museum accessibility is particularly important. Visual is the main source of information reception when visually impaired groups visit museums, and they have certain difficulties in finding, viewing and organizing visual information, which affects the formation of representations of collections in the brain. The survey results show that the infrastructure accessibility of museums is not perfect, information accessibility needs to be strengthened, and more importantly, psychological accessibility should be achieved.

Nowadays, the explosive growth of time series data and the idea of automatically classifying them brought chances of advanced analysis and machine cognitive processes in various domains. Hundreds of Time Series Classification (TSC) algorithms have been proposed during the last decade. Most of them need the large quantity of labeled training data for achieving good precision. However, we noticed that under most of the training scenarios, the large-scale supervised training datasets are not readily available. We thus proposed a few shot deep learning neural network framework PIN-BA (Prototypical Inception Network with Cross Branch Attention) for time series classification with only limited training data. We use CNN (Convolutional Neural Network) with branches of different reception windows for capturing the features of different time window scales. We design cross branch attention schemes based on prototypical networks to emphasize the crucial features' information during classification. A few experiments were conducted on the famous UCR Time Series Data Sets. Experimental results demonstrate that our proposed framework outperforms the other TSC models, such like 1NN-DTW and InceptionTime under the few shot training data scenarios.

The 2D BiOCl nanosheets with excellent photocatalytic activity were synthesized via the facile hydrothermal method by regulating the pH value of the precursor solution and using dulcitol (C6H14O6) as the surfactant. The photocatalysts were characterized by XRD, FT-IR, SEM, TEM, BET, XPS, ESR, O2-TPD, EIS, DRS and PL. The results of morphological and structural characterization indicate that the pH has a large effect on the thickness of the nanosheets and the exposure ratio of {0 0 1} facets. The photocatalytic property of the sample prepared at pH 4 showed excellent visible-light photocatalytic performance to degrade RhB owing to the small thickness, the exposed {0 0 1} facets and the optimum concentration of oxygen vacancy. Moreover, the reasonable photocatalytic mechanism was revealed by the active species trapping experiments and ESR characterization, which suggested O2− and h+ are the main active species in the present system.

Additional file 1: Figure S1. Intron and exon structures of the VQ genes in cucumber. The majority of the CsVQ genes only have one exon, except CsVQ2, CsVQ4, CsVQ7, CsVQ9, CsVQ25, and CsVQ27, which have two exons. Figure S2. Cis-elements in the promoters of CsVQ genes. Supplementary Table S1. Number of cis-elements related to various environmental stresses in the promoters of CsVQ genes. Supplementary Table S2. Primers used for quantitative PCR analysis in this study.

Nowadays, explosive growth of ontologies are used for managing data in various domains. They usually own different vocabularies and structures following different fashions. Ontology alignment finding semantic correspondences between elements of these ontologies can effectively facilitate the data communication and novel application creation in many practical scenarios. However, we noticed that, the traditional parametric ontology mapping methods still depend on individualistic abilities for setting proper parameters for mapping. When trying to utilize artificial neural networks for the automatic ontology mapping, the training data are found insufficient in most of the cases. This paper analyzes these problems, and proposes a few-shot ontology alignment model, which can automatically learn how to map two ontologies from only a few training links between their element pairs. The proposed model applies the Siamese neural network in computer vision on ontology alignment and designs an attention detection network learning the attention weights for different ontology attributes. A few experiments that conducted on the anatomy ontology alignment show that our model achieves good performance (94.3% of F-measure) with 200 training alignments without traditional parametric setting.

Porous BiOCl nanocubes with highly crystalline was successfully synthesized via a facile mannitol-assisted hydrothermal route. The results reveal that mannitol has great influence on BiOCl crystal structure and morphology, as well as photocatalytic activity. BiOCl (k = 0.190 min−1) exhibits excellent photocatalytic activities by the degradation of Rhodamine B (RhB) almost completely after 20 min visible-light irradiation. The enhanced photocatalytic-activity is owing to its highly crystalline, porous structure and positive valence band. This work provides a green strategy on synthesizing porous Bi-based nanocubes with highly active photocatalysis and offers new inside the importance of mannitol on the photocatalysis preparation process.

High content oxygen vacancies BiOCl consisted of thinner nanosheets was successfully synthesized assisted with ammonium sulfamate (AS) via a facile solvothermal route. X-ray powder diffractometer (XRD), X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), transmission electron microscope (TEM), UV–Vis diffused reflectance spectra (DRS), temperature programmed oxidation (O2-TPD), photoluminescence (PL), electrochemical impedance spectroscopy (EIS), and electron spin resonance (ESR) were applied to characterize the structure, morphology as well as the physicochemical properties of as-synthesized samples. The results confirm that AS and the mix solution pH have great effect on the BiOCl properties. BOC-2 (k = 0.484 min− 1) due to its high content oxygen vacancies exhibits 23 times high visible photocatalytic performance than BOC (k = 0.021 min− 1) for degradation of Rhodamine B (RhB), and enhanced photodegradation of antibiotic tetracycline hydrochloride (TC-HCl) solution. This work provides new insights on controllable synthesis of highly active BiOCl with different content oxygen vacancies.

The square-sharped BiOCl nanosheets with oxygen vacancies were successfully synthesized via a facile hydrothermal route using xylitol as surfactant. The as-prepared BiOCl samples were characterized by Powder X-ray Diffractometer (XRD), scanning electron microscope (SEM), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HRTEM), selected area electron diffraction (SAED), UV–Vis diffuse reflectance spectra (DRS), Brunauer–Emmett–Teller (BET), X-ray photoelectron spectroscopy (XPS) and Electron spin resonance (ESR). The as-prepared samples were phase-pure with the width and the thickness were about 50–400 nm and 20–50 nm respectively. Besides, the photodegradation performances showed the BiOCl nanosheets with 0.1 g concentration of xylitol (BOC-1) had the best photocatalytic activity under visible light due to its special polycrystalline structure, grain boundary and an optimum concentration of oxygen vacancies. The h+ and O2− were the two main active species during the photocatalytic process and the possible photocatalytic mechanism was proposed.

A feathery-shaped form of BiOCl (BOC-M) with a high concentration of oxygen vacancies was successfully synthesized using the ultrasound method at room temperature with maltitol as a surfactant. BOC-M was found to exhibit excellent visible-light photocatalytic activities for the degradations of the antibiotic tetracycline hydrochloride (TC-HCl) and rhodamine B (RhB), whose reaction rate was found to be approximately 3 times higher than that using bulk BiOCl (BOC). The enhanced visible photocatalytic performance of BOC-M was ascribed to its high concentration of oxygen vacancies, large specific surface area and strong hydrophilicity. Moreover, the photocatalytic reaction mechanism was further revealed by performing radical- and hole-trapping experiments and electron spin resonance spectroscopy (ESR). The results suggested that ˙O2− was the main active species during the degradation process. This work provided a facile and scalable method to synthesize maltitol-assisted Bi-based photocatalysts and shed light on the highly efficient catalysis offered by BiOCl resulting from the oxygen vacancies produced by the new synthetic route we developed.

Wearable and portable self-powered units have stimulated considerable attention in both the scientific and technological realms. However, their innovative development is still limited by inefficient bulky connections between functional modules, incompatible energy storage systems with poor cycling stability, and real safety concerns. Herein, we demonstrate a flexible solar-charging integrated unit based on the design of printed magnesium ion aqueous asymmetric supercapacitors. This power unit exhibits excellent mechanical robustness, high photo-charging cycling stability (98.7% capacitance retention after 100 cycles), excellent overall energy conversion and storage efficiency (ηoverall = 17.57%), and outstanding input current tolerance. In addition, the Mgion quasi-solid-state asymmetric supercapacitors show high energy density up to 13.1 mWh cm-3 via pseudocapacitive ion storage as investigated by an operando X-ray diffraction technique. The findings pave a practical route toward the design of future self-powered systems affording favorable safety, long life, and high energy.

Chemical vapor deposition synthesis of large domain hexagonal boron nitride (h-BN) with uniform thickness on Cu foils is of great challenge, originating from the extremely high nucleation densities and the reverse hydrogen etching competition reaction. We report herein the successful growth of wafer-scale high-quality h-BN monolayer film with the largest single crystalline domain sizes up to 72 micrometer in edge length using a folded Cu enclosure approach. The highly-confined growth space with this facile and unique approach enables the drastic decrease of nucleation centers together with the effective suppression of hydrogen etching reaction. It is revealed, for the first time, that the orientations of as-grown h-BN monolayers are strongly correlated with the crystalline facets of growth substrates, with the Cu (111) being the best substrate for growing high-quality single crystalline h-BN monolayer, consistent with the density functional theory calculations. The present study offers a practical pathway for growing high-quality h-BN films and deepens the fundamental understanding of h-BN growth process.

In solid mechanics Lagrangian motion descriptions are normally applied where a given reference volume is associated with the same set of material particles at all stages of deformation. Two forms of the Lagrangian description, the total Lagrangian description (TLD) and the updated Lagrangian description (ULD). are noted in the literature see for example [1–5].