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Objective·To investigate the expression and clinical significance of geranylgeranyl diphosphate synthase1 (GGPS1) in lung squamous cell carcinoma (LUSC) by bioinformatics and immunohistochemistry.Methods·Firstly, the transcriptome data of LUSC tissues and paired normal tissues were downloaded from UCSC Xena platform. The data were standardized and differentially expressed by R language, and verified by UALCAN database. UALCAN and LinkedOmics databases were used to analyze the relationship between GGPS1 expression and clinicopathological features in LUSC patients. The Kaplan-Meier Plotter database was used to explore the effect of GGPS1 expression on prognosis in LUSC patients. The least absolute shrinkage and selection operator (LASSO) regression analyses were applied to screen gene correlation coefficients and risk scores. The diagnostic value of GGPS1 for LUSC was evaluated by nomogram and calibration curve. The protein-protein interaction (PPI) network of GGPS1 was constructed by using STRING and GeneMANIA databases. R language was used to select the differential genes related to GGPS1, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed. The expression of GGPS1 in LUSC patients was detected by immunohistochemistry, and its correlation with clinicopathological features and prognosis was analyzed.Results·Through the TIMER2.0 database, it was found that GGPS1 expression was increased in most tumors and was highly expressed in LUSC. The expression of GGPS1 in LUSC was higher than that in adjacent tissues in UCSC Xena and UALCAN databases (both P

In order to eliminate the characteristics of long payback period and external economy of green building investment, and realize the accurate evaluation of green building cost and benefit. Based on the new estimation method, this paper constructs the system dynamics(SD) model of incremental cost-effectiveness of green building, and the rationality of the model is further tested and judged. This paper studies the change law of incremental cost and benefit of green building energy saving from the perspective of SD model. The incremental benefit of green building is greater than the incremental cost, and the time balance between them is about 8.0 years. The conclusion can provide enlightenment for the further development of green building.

We demonstrated experimentally direct femtosecond writing of ferroelectric domains in lithium niobate on insulator. The fabricated ferroelectric domain structures were characterized using Cherenkov second harmonic microscopy and piezoresponse force microscopy. We also experimentally explored the far-field second harmonic generation from the laser-induced ferroelectric domain structures. This study opens the door for direct laser writing of lithium niobate-based integrated photonic circuits, which typically require on-chip frequency conversion and wavefront control. [ABSTRACT FROM AUTHOR]

Water pollution has always been an inescapable challenge in the development of human society. Photocatalytic technology is regarded as a promising strategy for water pollution control. In this work, a novel Cu2O/TiO2@Ti3C2Tx MXene photocatalyst is constructed to create diverse electron transport pathways, thereby promoting charge separation and achieving superior photocatalytic performance. The synergistic effects of composite photocatalytic materials are instrumental in degrading organic dyes under visible light. The successful construction of a heterojunction structure between Cu2O and in situ generated TiO2 mitigates charge recombination post-separation, significantly extending the lifetime of photogenerated carriers. Additionally, the incorporation of Ti3C2Tx serves as an effective conductive medium, facilitating the separation and transfer of photogenerated charges within the material. Therefore, the Cu2O/TiO2@Ti3C2Tx MXene composites exhibit exceptional photocatalytic activity, showcasing the best performance, achieving a degradation rate of 71.5% after 3 h of visible light irradiation. These findings underscore the potential of this new compound in enhancing photocatalytic organic degradation, highlighting the promising application prospects of photocatalytic materials. [ABSTRACT FROM AUTHOR]

Yersinia enterocolitica is a gram-negative foodborne pathogen that can form biofilms on the surfaces of food and food processing equipment. Biofilms can enhance strain viability and affect food safety. In this study, Y. enterocolitica strain C1967-1 isolated from quick-frozen food, which has a strong ability to form biofilms, was evaluated. Proteomics analysis was used to analyze the differences in protein expression between the biofilms and planktonic bacteria. Gene Ontology (GO) enrichment analysis demonstrated that, among the top nine GO categories with the highest degree of enrichment, seven showed downregulation trends in biofilms. Only GO:0046873 (metal ion transmembrane transporter activity) did not show significant upregulation or downregulation trends in biofilms. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results suggested that the top 20 KEGG pathways with the highest degree of enrichment mainly involved metabolism of carbohydrates, amino acids, and lipids. The subcellular localization analysis results revealed that 45.65% of differential proteins were located in the cytoplasm. The upregulated protein MgtA of the biofilm was selected from GO:0046873, and the gene mgtA was knocked out to further verify the proteomics data. The results indicated that the knockout of mgtA did not inhibit strain growth. However, the biofilm amount of ΔmgtA was reduced by approximately 80%, and the structure of the biofilm was loosened. In summary, these results provide an important theoretical basis for the biofilm formation mechanism of Y. enterocolitica and the prevention of bacterial biofilm formation in the food industry. [ABSTRACT FROM AUTHOR]

The 12-lead electrocardiogram (ECG) is crucial in assessing patient decisions. However, portable ECG devices capable of acquiring a complete 12-lead ECG are scarce. For the first time, a deep learning-based method is proposed to reconstruct the 12-lead ECG from Frank leads (VX, VY, and VZ) or EASI leads (VES, VAS, and VAI). The innovative ECG reconstruction network called M2Eformer is composed of a 2D-ECGblock and a ProbDecoder module. The 2D-ECGblock module adaptively segments EASI leads into multi-periods based on frequency energy, transforming the 1D time series into a 2D tensor representing within-cycle and between-cycle variations. The ProbDecoder module aims to extract Probsparse self-attention and achieve one-step output for the target leads. Experimental results from comparing recorded and reconstructed 12-lead ECG using Frank leads indicate that M2Eformer outperforms traditional ECG reconstruction methods on a public database. In this study, a self-constructed database (10 healthy individuals + 15 patients) was utilized for the clinical diagnostic validation of ECG reconstructed from EASI leads. Subsequently, both the ECG reconstructed using EASI and the recorded 12-lead ECG were subjected to a double-blind diagnostic experiment conducted by three cardiologists. The overall diagnostic consensus among three cardiology experts, reaching a rate of 96%, indicates the significant utility of EASI-reconstructed 12-lead ECG in facilitating the diagnosis of cardiac conditions. [ABSTRACT FROM AUTHOR]