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ObjectiveResearches have identified ATPase H+ transporting V0 subunit d2 (ATP6V0D2) as a significant factor in various cancers. However, its prognostic value in breast cancer (BRCA) and its biological role in BRCA cells remain unclear.MethodsIn this research, we examined the varying expression levels of ATP6V0D2 in both BRCA and normal breast tissue by utilizing information derived from databases including the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO), along with clinical samples. Survival studies were carried out to investigate the link between ATP6V0D2 levels and prognosis in BRCA patients. A series of enrichment analyses identified possible pathways associated with the differentially expressed genes in BRCA. The relationships among ATP6V0D2 expression, immune characteristics, and gene mutation were evaluated using Spearman’s test. Finally, the expression of ATP6V0D2 was identified by quantitative real-time polymerase chain reaction (RT-qPCR) alongside western blot analysis. Additionally, Cell Counting kit-8 (CCK-8), Colony formation, Transwell, Scratch healing, and Mouse xenograft tumor assays were conducted to assessed the impact of ATP6V0D2 knockdown on the biological functions in TNBC.ResultsATP6V0D2 exhibited high expression in a range of cancers and correlated with unfavorable prognosis in BRCA. Functional enrichment analyses revealed enrichment of extracellular matrix-receptor interaction, focal adhesion, and the signaling pathway of tumor growth factor-beta in the high ATP6V0D2 expression group. Additionally, ATP6V0D2 was closely associated with immune checkpoints. Its expression positively associated with the infiltration levels of macrophage and neutrophil, but inversely with CD8+ T and plasmacytoid dendritic cells. Mutation analysis revealed that PIK3CA, linked to decreased OS, exhibited a higher mutation rate in the ATP6V0D2 high expression group. Furthermore, ATP6V0D2 knockdown inhibited TNBC cells invasion, migration, and proliferation abilities.ConclusionATP6V0D2 acts as a promising indicator for both diagnosis and prediction of outcomes in breast cancer and could potentially be a novel therapeutic target for BRCA.

Fiberglass-reinforced ultraviolet cured-in-place pipe (UV–CIPP) composite material is one of the most trenchless materials for underground pipelines’ rehabilitation. In this paper, the bending resistance and damage evolution mechanism of glass fiber-reinforced UV-CIPP composites were investigated under the influence of glass fiber structure, the number of layers of glass fibers, the angle of fiber layups, and the thickness of the material by high-definition video, SEM and infrared thermal imaging. The results indicate that the damage evolution modes of UV-CIPP materials mainly include: (1) fiber pull-out and overall fiber bundle tensile failure caused by strong interfacial bonding, (2) fiber/matrix debonding and delamination, fiber fracture, and matrix cracking caused by weak interfacial bonding. Furthermore, among the seven different fiberglass structures of UV-CIPP materials, the [0°/90°] warp-knit axial/short-cut felt fiberglass fabric exhibit the best flexural performance, with a bending strength of 412 MPa and a bending modulus of 16.1 GPa for the 4 layers glass fiber fabric. Moreover, in the bending process of UV-CIPP materials, the surface temperature rises primarily due to fiber break, the temperature transition aligning with the stress transition. Finally, the energy release is mainly caused by the failure of the glass fibers, but the resin contributed comparatively little. This study provides a scientific reference for the structural design and optimization of UV-CIPP materials.

[Introduction] The RGL system (Rod Position Indication and Rod Control System) is one of the important control systems in nuclear power unit, its performance is directly related to the availability of nuclear power unit when the double-hold fault happen in the RGL system, the entire control rod group will be locked, and the control rods cannot move in time during the transient test, load reducing operation or load raising operation of the unit, which may lead to the shut down of the reactor. [Method] Based on the experience feedback of the double-hold fault of the RGL system in a CPR1000 unit, this paper analyzed and researched the cause of the double-hold fault from the perspective of design principles. [Result] The analysis results indicate that the moment controller in the controller software misjudges the state of the MG rack, and thus outputs the wrong signal, which leads to the triggering of the double-hold fault. [Conclusion] Software defect is an important factor causing double hold fault of RGL system.

Multi-task learning can extract the correlation of multiple related machine learning problems to improve performance. This paper considers applying the multi-task learning method to learn a single task. We propose a new learning approach, which employs the mixture of expert model to divide a learning task into several related sub-tasks, and then uses the trace norm regularization to extract common feature representation of these sub-tasks. A nonlinear extension of this approach by using kernel is also provided. Experiments conducted on both simulated and real data sets demonstrate the advantage of the proposed approach.