► Effect of heat treatment on microstructure and mechanical property of GWZK alloy is investigated. ► Volume fraction and distribution of RE precipitates is modulated by controlling formation of ...14H-LPSO structure. ► The best mechanical property is obtained from the alloy treated at 793K×10h+498K×16h. ► The performance is affected by optimization for combination between 14H-LPSO structure and RE precipitates.
The effects of solid solution and aging treatments on the microstructure evolution and mechanical property of the as-cast Mg–14Gd–3Y–1.8Zn–0.5Zr alloy are investigated in this study. The microstructures of the 14H type long period stacking ordered (LPSO) structure and RE precipitates in the conditioned alloys are observed and analyzed by XRD, SEM and TEM. The mechanical properties of the alloys are evaluated Vickers hardness and ambient-temperature tensile tests. The results show that the volume fraction of 14H-LPSO structure in the alloy increased gradually with continued solution. The maximum volume fraction of RE precipitates is obtained when the alloy is solid-solution-treated at 793K for 10h and subsequently aged at 498K for 16h, under this optimum condition the mechanical properties (ultimate tensile strength: 366MPa, yield strength: 230MPa, elongation: 2.8%) at ambient temperature are achieved. The good performance of the studied GWZK alloy results from the dense precipitation of 14H-LPSO structure and RE precipitates in the matrix during the solid solution and aging process.
Systems biology approaches can help understand pathogenesis of complex human diseases like cancers for identification of potential new therapeutic targets. Here in this study, we performed ...genome-wide screening for mRNA and lncRNA profiles in esophageal cancer to identify the novel cancer-related mRNA and lncRNA in esophageal squamous cell carcinoma (ESCC). We identified 1260 up-regulated/1445 down-regulated mRNAs and 402 up-regulated/741 down-regulated lncRNAs. Further functional analysis revealed differentially expressed genes (DEGs) of mRNA and lncRNA are related to different pathways. mRNA pathways are mainly involved in cell cycles while lncRNA pathways are for regulation and metabolic procession. Differentially expressed mRNAs/lncRNAs were validated with qPCR. At last, mRNA and lncRNA co-expression network were built and highly-connected networks were identified, which may provide a mechanism of mRNA expression regulation by lncRNA. In together, we used next generation sequencing data to explore the co-expression networks of lncRNA and mRNA, which may elucidate the functions and mechanisms of lncRNA in ESCC.
•Genome-wide screening for mRNA and lncRNA profiles in esophageal squamous cell carcinoma (ESCC) was performed.•3000 up-regulated/2517 down-regulated mRNAs and 402 up-regulated/741 down-regulated lncRNAs were identified.•mRNA and lncRNA co-expression network were built and highly-connected networks were identified for the first time in ESCC.
Graphene oxide (GO) membranes play an important role in various nanofiltration applications including desalination, water purification, gas separation, and pervaporation. However, it is still very ...challenging to achieve both high separation efficiency and good water permeance at the same time. Here, we synthesized two kinds of GO-based composite membranes i.e. reduced GO (rGO)@MoO2 and rGO@WO3 by in-situ growth of metal nanoparticles on the surface of GO sheets. They show a high separation efficiency of ∼100% for various organic dyes such as rhodamine B, methylene blue and evans blue, along with a water permeance over 125 L m−2 h−1 bar−1. The high water permeance and rejection efficiency open up the possibility for the real applications of our GO composite membranes in water purification and wastewater treatment. Furthermore, this composite strategy can be readily extended to the fabrication of other ultrathin molecular sieving membranes for a wide range of molecular separation applications.
•A costumed hybrid model is proposed for multi-product pipeline condition recognition based on process and data coupling.•A SPS model is established to simulate various unsteady and abnormal ...conditions.•Variable-length series processing is performed on the unsteady condition data.•A real pipeline and a simulated pipeline are used to verify the accuracy and stability of the proposed method.
It is significant for field monitoring and management to identify the operating state of the pipeline and prevent an abnormal accident from occurring. Aiming at the few unsteady and abnormal conditions data samples, different condition switching duration, and strong time-space characteristics of multi-product pipeline condition recognition, a hybrid model for condition recognition based on process and data coupling is proposed. First, collecting the relevant parameters of the real multi-product pipeline system and using Stoner Pipeline Simulator (SPS) to establish a simulation model. Based on the simulation model, performing the simulation of unsteady conditions and abnormal conditions to obtain the corresponding simulated data. Second, the reliability of the simulation model is verified by calculating the distribution similarity between the simulated data and the real pipeline data. Third, the simulated data and real data are processed by variable-length series and input into the proposed hybrid model for training and verification. The results show that the proposed hybrid model has high accuracy, precision, recall, and F1 score of 93.1%, 93.1%, 87.2%, and 84.7%, respectively, which has essential guiding significance for monitoring and ensuring the safe and stable operation of multi-product pipelines.
(AP) has been widely used in China for centuries to treat various diseases, and especially to treat inflammation. Diterpenoid lactones are the main anti-inflammatory components of AP. However, ...systematic chemical composition and biological activities, as well as key pharmacophores, of these diterpenoid lactones from AP have not yet been clearly understood. In this study, 17 diterpenoid lactones, including 2 new compounds, were identified by spectroscopic methods, and most of them attenuated the generation of TNF-α and IL-6 in LPS-induced RAW 274.7 cells examined by ELISA. Pharmacophores of diterpenoid lactones responsible for the anti-inflammatory activities were revealed based on the quantitative structure-activity relationship (QSAR) models. Moreover, new compounds (
and
) exerted anti-inflammatory activity in LPS microinjection-induced zebrafish, which might be correlated with the inhibition of the translocation of NF-κB p65 from cytoplasm to nucleus. Our study provides guidelines for future structure modification and rational drug design of diterpenoid lactones with anti-inflammatory properties in medical chemistry.
Pelargonic acid vanillylamide (PAVA), a capsaicin-type dacryagogue agent utilized for counter-terrorism and riot control, possesses a low stimulus threshold. This characteristic can lead to ...environmental contamination following its application and may easily result in secondary stimulation to personnel. Cobalt-doped Ti3C2-MXene nanosheets (Co3O4/Ti3C2@C) were synthesized for the purpose of activating peracetic acid (PAA) and degrading PAVA. A carbon layer was coated on the surface of Ti3C2-MXene nanosheets to address the challenge of poor oxygen resistance in MXenes, thus preventing a significant decline in surface reactivity. The BET surface area of Co3O4/Ti3C2@C was expanded to 149.6 m2/g, significantly exceeding that of Ti3C2 (13.0 m2/g) and Co3O4 (56.4 m2/g). With 0.5 mg/mL of Co3O4/Ti3C2@C and 0.35 mM of PAA, 100 mg/L of PAVA was completely degraded within 60 min. The augmented BET surface area and the presence of more active sites confer remarkable PAA activation and catalytic degradation properties toward PAVA. Parameters such as initial pH, PAVA concentration, catalyst dosage, and PAA concentration on PAVA degradation were systematically assessed. Furthermore, the reusability and stability of the nanocomposite were substantiated through recycling tests. Radical quenching experiments and electron paramagnetic resonance analysis demonstrated the acetylperoxy radical (CH3CO3) as the primary species responsible for PAVA degradation. This research serves as an illustration of the utilization of MXene and transition metal activated PAA in wastewater treatment.
Glass ceramics were successfully prepared from Cr-bearing slag and the effect of the slag content (40–70 wt%) on the crystallization behavior and morphology of the glass ceramics was investigated. ...The values of the crystallization activation energy and crystallization index for crystal growth calculated using various methods were consistent. The crystallization activation energies of the samples exhibited in the range of 165–252 kJ/mol, and it tended to decrease with increasing Cr-bearing slag content. The crystallization index results indicated that the crystallization mechanism of the samples is bulk crystallization. Additionally, the principal phase composition of the glass ceramics with Cr-bearing slag contents of 40, 50, and 60 wt% was diopside; however, anorthite precipitated as a second phase when the slag content was 65% or 70%. Furthermore, the results suggesting that the CMAS glass ceramics could also be synthesized from Cr-bearing slag without using an additional nucleating agent.
•Glass ceramics with 40–70 wt% Cr-bearing slag were successfully synthesized without using an additional nucleating agent.•The values of the crystallization kinetics parameters for crystal growth calculated using various methods were consistent.•Spinel can promote crystallization and the crystallization mechanism of the samples is bulk crystallization.•The crystalline phase of the obtained glass ceramics changes from diopside to diopside–anorthite.
To develop and validate a deep learning signature (DLS) from diffusion tensor imaging (DTI) for predicting overall survival in patients with infiltrative gliomas, and to investigate the biological ...pathways underlying the developed DLS.
The DLS was developed based on a deep learning cohort (n = 688). The key pathways underlying the DLS were identified on a radiogenomics cohort with paired DTI and RNA-seq data (n=78), where the prognostic value of the pathway genes was validated in public databases (TCGA, n = 663; CGGA, n = 657).
The DLS was associated with survival (log-rank P < 0.001) and was an independent predictor (P < 0.001). Incorporating the DLS into existing risk system resulted in a deep learning nomogram predicting survival better than either the DLS or the clinicomolecular nomogram alone, with a better calibration and classification accuracy (net reclassification improvement 0.646, P < 0.001). Five kinds of pathways (synaptic transmission, calcium signaling, glutamate secretion, axon guidance, and glioma pathways) were significantly correlated with the DLS. Average expression value of pathway genes showed prognostic significance in our radiogenomics cohort and TCGA/CGGA cohorts (log-rank P < 0.05).
DTI-derived DLS can improve glioma stratification by identifying risk groups with dysregulated biological pathways that contributed to survival outcomes. Therapies inhibiting neuron-to-brain tumor synaptic communication may be more effective in high-risk glioma defined by DTI-derived DLS.
A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
The exploitation of selective and sensitive dopamine (DA) sensors is essential to more deeply understand its biological function and diagnosis of related diseases. In this study, gold ...nanocluster-encapsulated hyperbranched polyethyleneimine (hPEI-Au NCs) has been explored as the specific and ratiometric DA nanoprobe through hPEI-assisted DA self-polymerization reactions. The Au NCs encapsulation not only provides a fluorescent internal reference but also enhances the DA self-polymerization by weakening the proton sponge effect of the hPEI layer. Rapid and sensitive DA detection is realized through the proposed hPEI-Au NC nanoprobe with a limit of detection of 10 nM. The favorable selectivity over other possible interferents including amino acids, sugars, and salts is due to the specific self-polymerization reaction. The DA analysis in urine samples with small relative standard deviations has been accomplished with an hPEI-Au NC nanoprobe.
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