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Lithology classification is important in mineral resource exploration, engineering geological exploration, and disaster monitoring. Traditional laboratory methods for the qualitative analysis of rocks are limited by sampling conditions and analytical techniques, resulting in high costs, low efficiency, and the inability to quickly obtain large-scale geological information. Hyperspectral remote sensing technology can classify and identify lithology using the spectral characteristics of rock, and is characterized by fast detection, large coverage area, and environmental friendliness, which provide the application potential for lithological mapping at a large regional scale. In this study, ZY1-02D hyperspectral images were used as data sources to construct a new two-layer extreme gradient boosting (XGBoost) lithology classification model based on the XGBoost decision tree and an improved greedy search algorithm. A total of 153 spectral bands of the preprocessed hyperspectral images were input into the first layer of the XGBoost model. Based on the tree traversal structural characteristics of the leaf nodes in the XGBoost model, three built-in XGBoost importance indexes were split and combined. The improved greedy search algorithm was used to extract the spectral band variables, which were imported into the second layer of the XGBoost model, and the bat algorithm was used to optimize the modeling parameters of XGBoost. The extraction model of rock classification information was constructed, and the classification map of regional surface rock types was drawn. Field verification was performed for the two-layer XGBoost rock classification model, and its accuracy and reliability were evaluated based on four indexes, namely, accuracy, precision, recall, and F1 score. The results showed that the two-layer XGBoost model had a good lithological classification effect, robustness, and adaptability to small sample datasets. Compared with the traditional machine learning model, the two-layer XGBoost model shows superior performance. The accuracy, precision, recall, and F1 score of the verification set were 0.8343, 0.8406, 0.8350, and 0.8157, respectively. The variable extraction ability of the constructed two-layer XGBoost model was significantly improved. Compared with traditional feature selection methods, the GREED-GFC method, when applied to the two-layer XGBoost model, contributes to more stable rock classification performance and higher lithology prediction accuracy, and the smallest number of extracted features. The lithological distribution information identified by the model was in good agreement with the lithology information verified in the field.

Adsorption desulfurization of fuel oil is regarded as one of the most promising technologies for obtaining clean fuel because it can remove refractory sulfur compounds at ambient temperature and pressure. Studies indicate that HKUST-1, as an important type of metal–organic framework (MOF), is a potential candidate for adsorption desulfurization of fuel oil. In this work, we report that defective HKUST-1 can be rapidly synthesized at room temperature with the aid of NH4F and exhibit superior adsorption desulfurization performance compared to conventional HKUST-1 by the solvothermal method. Moreover, the influence of adsorption parameters on the desulfurization performance of HKUST-1 prepared with the aid of NH4F was investigated. We used 50 mg of HKUST-1-5 synthesized with 5 wt% added NH4F to adsorb 5 g of model oil with a sulfur concentration of 1000 ppm at 25 °C for 1 h, and the adsorption capacity of the adsorbent reached 23.8 mgS/g, 46.8 mgS/g and 36.8 mgS/g for benzothiophene (BT), dibenzothiophene (DBT) and 4,6-dimethyldibenzothiophene (4,6-DMDBT), respectively, which are higher values than those of conventional HKUST-1. Such performance can be mainly attributed to its relatively small particle size and the presence of more unsaturated Cu sites. The results of regeneration experiments show that HKUST-1-5 still maintains excellent adsorption performance after four cycles. These findings highlight the great potential of this material as an efficient adsorbent for adsorption desulfurization of fuel oil.

A new amphipathic lindqvist-type polyoxometalate-based TiO 2 nanofibres catalysts ( 50-DTA-MoO-TiO 2 NF , DTA = CH 3 (CH 2 ) 11 (CH 3 ) 3 N, MoO = Mo 6 O 19 2- , TiO 2 NF = TiO 2 nanofibres, the weight percentage of DTA-MoO was 50%) was obtained by electrospinning and applied in desulfurization of fuel. This catalyst presented outstanding desulfurization performance and reusability. Graphic Abstract The amphipathic lindqvist-type polyoxometalate-based TiO 2 nanofibres were prepared successfully and examined as heterogeneous catalysts in removal of sulfur-containing compounds. At 333 K, 100% desulfurization efficiency of 500 ppm DBT model oil was achieved using 0.010 g 50-DTA-MoO-TiO 2 NF as catalyst in 40 min with O/S molar ratio of 2:1 in ECODS.

Background Spinal cord injury (SCI) is a common trauma in clinical practices. Subacute SCI is mainly characterized by neuronal apoptosis, axonal demyelination, Wallerian degeneration, axonal remodeling, and glial scar formation. It has been discovered in recent years that inflammatory responses are particularly important in subacute SCI. However, the mechanisms mediating inflammation are not completely clear. Methods The gene expression profiles of GSE20907, GSE45006, and GSE45550 were downloaded from the GEO database. The models of the three gene expression profiles were all for SCI to the thoracic segment of the rat. The differentially expressed genes (DEGs) and weighted correlation network analysis (WGCNA) were performed using R software, and functional enrichment analysis and protein–protein interaction (PPI) network were performed using Metascape. Module analysis was performed using Cytoscape. Finally, the relative mRNA expression level of central genes was verified by RT-PCR. Results A total of 206 candidate genes were identified, including 164 up-regulated genes and 42 down-regulated genes. The PPI network was evaluated, and the candidate genes enrichment results were mainly related to the production of tumor necrosis factors and innate immune regulatory response. Twelve core genes were identified, including 10 up-regulated genes and 2 down-regulated genes. Finally, seven hub genes with statistical significance in both the RT-PCR results and expression matrix were identified, namely Itgb1, Ptprc, Cd63, Lgals3, Vav1, Shc1, and Casp4. They are all related to the activation process of microglia. Conclusion In this study, we identified the hub genes and signaling pathways involved in subacute SCI using bioinformatics methods, which may provide a molecular basis for the future treatment of SCI.

Background Enhance recovery after surgery (ERAS) is a new and promising paradigm for spine surgery. The purpose of this study is to investigate the effectiveness and safety of a multimodal and evidence-based ERAS pathway to the patients undergoing anterior cervical discectomy and fusion (ACDF). Methods The patients treated with the ACDF-ERAS pathway were compared with a historical cohort of patients who underwent ACDF before ERAS pathway implementation. Primary outcome was length of stay (LOS). Secondary outcomes included cost, MacNab grading, complication rates and 90-day readmission and reoperation. And perioperative factors and postoperative complications were reviewed. Results The ERAS protocol was composed of 21 components. More patients undergoing multi-level surgery ( n  ≥ 3) were included in the ERAS group. The ERAS group showed a shorter LOS and a lower cost than the conventional group. The postoperative satisfaction of patients in ERAS group was better than that in conventional group. In addition, the rate of overall complications was significantly higher in the conventional group than that in the ERAS group. There were no significant differences in operative time, postoperative drainage, or 90-day readmission and reoperation. Conclusions The ACDF-tailored ERAS pathway can reduce LOS, cost and postoperative complications, and improve patient satisfaction without increasing 90-day readmission and reoperation.

The stage separation of hypersonic vehicles is critically challenged by severe aerodynamic interference, which induces significant attitude deviations and jeopardizes subsequent flight missions. This study investigates open-loop and closed-loop attitude control methods utilizing lateral jets to stabilize the forebody during separation. Dynamic CFD-based numerical simulations were conducted for a tandem hypersonic vehicle, analyzing trajectories and aerodynamic characteristics under free separation, open-loop, and closed-loop control. Results show that open-loop control achieves a maximum forebody pitch angle of only 0.27° at α=0°, but performance degrades drastically to 24.88° at α=2.5°, highlighting its sensitivity to freestream variations. In contrast, a cascade PID-based closed-loop control system dynamically adjusts lateral jet total pressure, reducing the maximum pitch angle to 0.006° at α=0° and maintaining it below 0.2° even at α=5.0°. The closed-loop system exhibits periodic fluctuations in jet pressure, with amplitude increasing alongside angle of attack, yet demonstrates superior robustness against aerodynamic disturbances. Flow field analysis reveals enhanced shockwave interactions and vortex dynamics under closed-loop control, effectively mitigating pitch instability. While open-loop methods are constrained to specific conditions, closed-loop control significantly broadens applicability across variable flight environments.

UiO-67(Zr), as a member of Zr-based metal–organic frameworks (MOFs), has attracted much attention owing to its merits, involving large surface area, high pore volume, and good structural stability. However, it is generally inactive in many catalytic reactions due to a lack of active sites. In this work, we report a new strategy, combining vapor-assisted synthesis with acid treatment to create abundant active sites in UiO-67(Zr), resulting from defects. The effects of some synthetic parameters were systematically investigated. As a result, an optimized material named UiO-67(Zr)-V-0.5FA-H, obtained by acid-treating UiO-67(Zr) and prepared with the addition of 0.5 mL formic acid via a vapor-assisted method, exhibited outstanding catalytic performance in the oxidation of dibenzothiophene (DBT), which can completely oxidize DBT in 9 min at 30 °C using H2O2 as the oxidant. The calculated turnover frequency reached 150.4 h−1, surpassing those of most reported Zr-MOFs catalysts. In addition, it is demonstrated that UiO-67(Zr)-V-0.5FA-H is a heterogeneous catalyst and can be reused without obvious activity loss.

Caerin peptides exhibit a dual role in cancer treatment by directly killing cancer cells and modulating the tumour microenvironment to enhance anti-tumour immunity. This study investigates the mechanisms underlying caerin 1.1/1.9-induced acute cell death in epithelial cancer cells and explores their therapeutic potential. HeLa, A549, and Huh-7 cancer cell lines were treated with caerin 1.1/1.9 peptides. Morphological observations, flow cytometry, lactate dehydrogenase (LDH) release, and IL-18 secretion assays revealed the occurrence of pyroptosis following treatment. Specifically, a 1-h treatment with caerin 1.1/1.9 induced pyroptosis in HeLa, A549, and Huh-7 cells, characterised by cell swelling, membrane bubbling, and the release of IL-18 and LDH. Western blotting confirmed the upregulation of pyroptosis markers, including caspase-3, cleaved caspase-3, and GSDME-N fragments. These findings highlight the significant role of caerin peptides in inducing acute pyroptosis, a form of programmed cell death that enhances the immunogenicity of dying cancer cells, thus potentially improving the effectiveness of immunotherapies. This research underscores the therapeutic potential of caerin 1.1/1.9 peptides in cancer treatment, providing a foundation for developing new anti-cancer strategies that leverage both direct cytotoxic effects and immune modulation to achieve more effective and sustained anti-tumour responses.

Cervical cancer remains a significant global health challenge, particularly in developing countries where access to HPV vaccination is limited. We previously demonstrated that caerin 1.1/1.9 (F1F3) peptides inhibit tumour growth in vitro and in vivo by inducing pyroptosis, followed by apoptosis and immune activation. In this study, we elucidate the molecular mechanisms underlying F1F3-induced pyroptosis in HeLa cells. Our results show that F1F3 triggers pyroptosis independently of GSDME, as evidenced by comparable IL-18 and LDH release in both wild type and GSDME knockout cells. Cross-linking mass spectrometry identified the interaction of F1 to KHDRBS1 and F3 to DDX5, respectively. Knockout of either KHDRBS1 or DDX5 enhanced HeLa cell sensitivity to F1F3 and significantly elevated IL-18 secretion. Notably, KHDRBS1-deficint tumours displayed accelerated growth yet responded more robustly to F1F3 treatment, suggesting a context-dependent tumour-suppressive role of KHDRBS1. These findings uncover a previously uncharacterised pathway regulated by KHDRBS1-DDX5 and demonstrate that F1F3 can effectively interfere with this axis to induce anti-tumour immune responses, highlighting their potential as novel therapeutic agents for cervical cancer.

Neuroendocrine prostate cancer (NEPC) arises from prostate adenocarcinoma after endocrine treatment failure and implies lethality and limited therapeutic options. Deciphering the molecular mechanisms underlying transdifferentiation from adenocarcinoma to NEPC may provide valuable therapeutic strategies. We performed a pan-cancer differential mRNA abundance analysis and identified that Kinesin-like protein (KIF1A) was highly expressed in NEPC. KIF1A knockdown impaired neuroendocrine(NE) features, including NE marker gene expression, stemness, and epithelial–mesenchymal transition (EMT), whereas KIF1A overexpression promoted these processes. Targeting KIF1A inhibited the growth of NE differentiated prostate cancer (PCa) cells in vitro and in vivo. Mechanistically, KIF1A bound with O-linked N-acetylglucosamine transferase (OGT) and regulated its protein expression and activity. Nuclear accumulation of OGT induced by KIF1A overexpression promoted intranuclear O-GlcNAcylation of β-catenin and OCT4 in nucleus. More importantly, our data revealed that OGT was critical for KIF1A induced NE differentiation and aggressive tumor growth. An OGT inhibitor, OSMI-1, can significantly inhibited NE differentiated PCa cell proliferation in vitro and tumor growth in vivo. Our findings showed that KIF1A promotes NE differentiation to NEPC by regulating the OGT-mediated O-GlcNAcylation. Targeting O-GlcNAcylation may impede the development of NEPC for a group of PCa patients with elevated KIF1A expression.