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To improve fuel efficiency, advanced combustion engines are being designed to minimize the amount of heat wasted in the exhaust. Hence, future generations of catalysts must perform at temperatures that are 100°C lower than current exhaust-treatment catalysts. Achieving low-temperature activity, while surviving the harsh conditions encountered at high engine loads, remains a formidable challenge. In this study, we demonstrate how atomically dispersed ionic platinum (Pt2+) on ceria (CeO₂), which is already thermally stable, can be activated via steam treatment (at 750°C) to simultaneously achieve the goals of low-temperature carbon monoxide (CO) oxidation activity while providing outstanding hydrothermal stability. A new type of active site is created on CeO₂ in the vicinity of Pt2+, which provides the improved reactivity. These active sites are stable up to 800°C in oxidizing environments.

Background Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons, leading to motor and non-motor symptoms. Despite advances in PD research, the molecular mechanisms underlying its pathogenesis remain incompletely understood. Recent studies have highlighted the potential role of circular RNAs (circRNAs) in neurodegenerative diseases. This study aims to investigate the regulatory role of circPRDM5 in PD, focusing on its interactions with miR-433-3p and HDAC6. Methods Bioinformatics tools were used to identify circPRDM5 and its potential interaction with miR-433-3p. Peripheral blood samples were collected from 20 PD patients and healthy controls to measure circPRDM5, miR-433-3p, and HDAC6 expression. For in vivo studies, an MPTP-induced PD mouse model was established, and circPRDM5 knockdown was achieved via tail vein injections of shRNA constructs. Behavioral tests, histological analysis, and immunohistochemistry were used to evaluate motor function and neuronal integrity. In vitro, SH-SY5Y neuroblastoma cells were treated with MPP⁺ to induce PD-like characteristics, followed by transfection with circPRDM5 knockdown constructs and miR-433-3p mimics or inhibitors. Cell viability, lactate dehydrogenase (LDH) release, apoptosis, and autophagy were measured through CCK-8 assay, flow cytometry, western blotting, and immunofluorescence. Results CircPRDM5 expression was significantly elevated in PD patients and MPTP-induced PD mice, with knockdown of circPRDM5 alleviating motor deficits and neuronal damage in vivo. In vitro, circPRDM5 knockdown in SH-SY5Y cells reduced MPP + -induced cellular damage, apoptosis, and autophagy. Bioinformatics analysis identified miR-433-3p as a target of circPRDM5, and its downregulation in PD patients and MPP + -treated cells was observed. Dual-luciferase and RNA pull-down assays confirmed that circPRDM5 functions as a sponge for miR-433-3p, which regulates HDAC6 expression. HDAC6 was found to be upregulated in PD and contributed to neuronal damage. Furthermore, HDAC6 overexpression reversed the protective effects of circPRDM5 knockdown, highlighting the role of the circPRDM5/miR-433-3p/HDAC6 axis in PD pathology. Conclusions This study reveals that circPRDM5 promotes neuronal damage in PD by sponging miR-433-3p and upregulating HDAC6, contributing to apoptosis and autophagy. Knockdown of circPRDM5 reduces PD-like symptoms in both cellular and animal models, providing a potential therapeutic target for PD. Targeting the circPRDM5/miR-433-3p/HDAC6 axis may offer new opportunities for disease-modifying treatments in PD.

Carrier-based aircraft recovery is a critical and challenging phase in maritime operations due to the turbulent airwake generated by aircraft carriers, which significantly increases the workload of flight control systems and pilots. This study investigates the airwake effects of an aircraft carrier under varying wind direction conditions. A high-fidelity mathematical model combining delayed detached-eddy simulation (DDES) with the overset grid method was developed to analyze key flow characteristics, including upwash, downwash, and lateral recirculation. The model ensures precise control of aircraft speed and trajectory during landing while maintaining numerical stability through rigorous mesh optimization. The results indicate that the minimum lift occurs in the downwash region aft of the deck, marking it as the most hazardous zone during landing. Aircraft above the deck are primarily influenced by ground effects, causing a sudden increase in lift that complicates arresting wire engagement. Additionally, the side force on the aircraft undergoes an abrupt reversal during the approach phase. The dual overset mesh technique effectively captures the coupled motion of the hull and aircraft, revealing higher turbulence intensity along the glideslope and a wider range of lift fluctuations compared to stationary hull conditions. These findings provide valuable insights for optimizing carrier-based aircraft recovery procedures, offering more realistic data for simulation training and enhancing pilot preparedness for airwake-induced disturbances.

The wake behind an aircraft carrier under heavy wind condition is a key concern in ship design. The Chinese Liaoning ship’s upturned bow and the island on the deck could cause serious flow separation in the landing and take-off area. The flow separation induces strong velocity gradients and intense pulsations in the flow field. In addition, the sway of the aircraft carrier caused by waves could also intensify the flow separation. The complex flow field poses a significant risk to the shipboard aircraft take-off and landing operation. Therefore, accurately predicting the wake of an aircraft carrier during wave action motion is of great interest for design optimization and recovery aircraft control. In this research, the aerodynamic around an aircraft carrier (i.e., Liaoning) was analyzed using the computational fluid dynamics technique. The validity of two turbulence models was verified through comparison with the existing data from the literature. The upturned bow take-off deck and the right-hand island were the main areas where flow separation occurred. Delayed detached eddy simulation (DDES), which combines the advantages of LES and RANS, was adopted to capture the full-scale spatial and temporal flow information. The DDES was also coupled with the overset grid to calculate the flow field characteristics under the effect of hull sway. The downwash area at 15° starboard wind became shorter when the hull was stationary, while the upwash area and turbulence intensity increased. The respective characteristics of the wake flow field in the stationary and swaying state of the ship were investigated, and the flow separation showed a clear periodic when the ship was swaying. Comprehensive analysis of the time-dependent flow characteristic of the approach line for fixed-wing naval aircraft is also presented.

CeO2 nanooctahedrons, nanorods, and nanocubes were prepared by the hydrothermal method and were then used as supports of Cu-based catalysts for the water-gas shift (WGS) reaction. The chemical and physical properties of these catalysts were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), N2 adsorption/desorption, UV-Vis spectroscopy, X-ray photoelectron spectroscopy (XPS), hydrogen temperature-programmed reduction (H2-TPR) and in situ diffuse reflectance infra-red fourier transform spectroscopy (DRIFTS) techniques. Characterization results indicate that the morphology of the CeO2 supports, originating from the selective exposure of different crystal planes, has a distinct impact on the dispersion of Cu and the catalytic properties. The nanooctahedron CeO2 catalyst (Cu-CeO2-O) showed the best dispersion of Cu, the largest amount of moderate copper oxide, and the strongest Cu-support interaction. Consequently, the Cu-CeO2-O catalyst exhibited the highest CO conversion at the temperature range of 150–250 °C when compared with the nanocube and nanorod Cu-CeO2 catalysts. The optimized Cu content of the Cu-CeO2-O catalysts is 10 wt % and the CO conversion reaches 91.3% at 300 °C. A distinctive profile assigned to the evolution of different types of carbonate species was observed in the 1000–1800 cm−1 region of the in situ DRIFTS spectra and a particular type of carbonate species was identified as a potential key reaction intermediate at low temperature.

Polyimide (PI) fiber is a promising and high-performance polymer fiber with high temperature resistance and low density; however, much energy is needed during the thermal imidization process. Here, PI fiber with excellent mechanical properties and high-temperature resistance was fabricated via the dry-jet wet spinning method for polyamic acid (PAA) precursor fiber, followed by stretching and thermal imidization reaction at a lower temperature. With the increase of the stretching ratio, the mechanical properties of the PI fiber increase significantly. When the stretching was twice as long, the tensile strength and initial modulus of the fiber were as high as 6.23 and 114.13 cN·dtex–1, respectively. Fourier transform infrared results revealed that all samples were completely imidized at 260 °C. The resulting PI fibers exhibit only 5% weight loss at 539.53 °C, and its limiting oxygen index (LOI) can reach up to 32.6%, showing excellent high temperature resistance and flame-retardant properties as well as commendable mechanical performance, which compare favorably with those of other imidization methods.

Objectives The objective of this study is to evaluate the value of S100‐A8 protein as a diagnostic marker for spinal tuberculosis and to explore its role in the potential pathogenesis of spinal tuberculosis (STB). Methods The peripheral blood of 100 spinal tuberculosis patients admitted to the General Hospital of Ningxia Medical University from September 2018 to June 2021 were collected as the observation group, and the peripheral blood of 30 healthy medical examiners were collected as the control group. Three samples from the observation group and three samples from the control group were selected for proteomics detection and screening of differential proteins. Kyoto Encyclopedia of Genes (KEGG) was used to enrich and analyze related signaling pathways to confirm the target protein. The serum expression levels of the target proteins were determined and compared between the two groups using enzyme‐linked immunosorbent assay (ELISA). Statistical methods were used to evaluate the value of target protein as a diagnostic marker for STB. A macrophage model of Mycobacterium tuberculosis infection was constructed and S100‐A8 small interfering RNA was used to investigate the molecular mechanism of the target protein. Results S100‐A8 protein has the value of diagnosing spinal tuberculosis (AUC = 0.931, p < 0.001), and the expression level in the peripheral blood of the observation group (59.04 ± 19.37 ng/mL) was significantly higher than that of the control group (43.16 ± 10.07 ng/mL) (p < 0.05). S100‐A8 protein expression showed a significant positive correlation with both CRP and ESR values (p < 0.01). Its AUCs for combined bacteriological detection, T‐SPOT results, diagnostic imaging, antacid staining results, and pathological results were 0.705 (p < 0.05), 0.754 (p < 0.01), 0.716 (p < 0.01), 0.656 (p < 0.05), and 0.681 (p < 0.01), respectively. Lack of S100‐A8 leads to a significant decrease in the expression levels of TLR4 and IL‐17A in infected macrophages. Conclusion S100‐A8 protein is differentially expressed in the peripheral blood of patients with spinal tuberculosis and healthy individuals and may be a novel candidate biomarker for the diagnosis of spinal tuberculosis. The feedback loop on the S100‐A8‐TLR4‐IL‐17A axis may play an important role in the inflammatory mechanism of spinal tuberculosis. Studying differentially expressed proteins in the STB patients from a proteomic perspective. Apply S100‐A8 protein as a diagnostic marker for STB. Exploring the S100‐A8/TLR4/IL‐17A axis in the pathogenesis of STB.

Purpose This study aims to explore the environmental and easy-care benefits of diacetate fiber blended textiles, emphasizing their potential in enhancing sustainability and reducing carbon emissions in the textile industry. It addresses the pressing need for innovative materials that combine functional advantages with reduced environmental impacts. Design/methodology/approach A comprehensive series of experiments was conducted to assess the easy-care properties of fabrics blended with diacetate fibers. These properties include stain resistance, wash dimensional stability and antistatic performance, using standardized textile testing methods. The experimental setup involved a variety of fabric blends tested under simulated conditions that mimic real-world usage to evaluate the effectiveness of diacetate fibers in practical applications. Findings The inclusion of diacetate fibers significantly enhances several easy-care properties of the textiles. Fabrics containing these fibers showed improved stain resistance, particularly in blends with polyester and cotton, which also exhibited better dimensional stability after washing. Antistatic properties were notably better in diacetate-polyester blends compared to other fiber compositions. Furthermore, the research demonstrated that these fabrics require fewer wash cycles, effectively reducing water and energy consumption, thereby contributing to environmental sustainability. Originality/value This study is among the first to systematically quantify the multiple benefits of diacetate fiber blends in textiles, providing a dual focus on environmental impact and practical textile care. The findings offer new insights into the use of sustainable fiber technologies in reducing the ecological footprint of the textile industry while maintaining material performance, supporting the advancement toward a more sustainable fashion industry.

Lithium is known as the “white petroleum” of the electrification era, and the global demand for lithium grows rapidly with the quick development of new energy industry. The aqueous solutions, such as salt lake brine, underground brine, and seawater, have large lithium reserves, thus this kind of lithium resource has become a research hotspot recently. Compared with other lithium extraction technologies, electro-sorption method shows good prospects for practical applications with advantages in the aspects of efficiency, recovery ratio, cost, and environment. Herein, this review covers recent progress on electro-sorption technology for lithium recovery from aqueous solutions, including the concept illustration, research progress of the applied working electrodes and counter electrodes, and the evaluation indicators of electro-sorption system. Meanwhile, some prospects for the development of this technology are also proposed. We hope this review is beneficial for the construction of high-efficient electrochemical lithium recovery system to achieve an adequate lithium supply in the future.

Growing interest in the development of a hydrogen economy means that CO oxidation is increasingly important for upgrading H2-rich fuel gas streams for fuel cells. CeO2-supported catalysts are the most promising candidates for the catalytic oxidation of CO because of their high activity. In the present work, DFT+U calculations were performed to investigate the stability and CO oxidation reactivity of Ptn (n = 1−4) clusters supported on CeO2(111) (Pt/CeO2) and Pt-doped CeO2(111) (Pt/(Pt−Ce)O2) surfaces. The Pt clusters showed similar nucleation behavior on both CeO2 and (Pt−Ce)O2 surfaces. Further, the formation of oxygen vacancies (Ov) was facilitated because of surface charge depletion caused by the dopant Pt. Our DFT results suggest that the interfacial OV plays an important role in the CO oxidation reaction cycle, and the calculated energy barrier for the CO oxidation reaction on the Pt/(Pt−Ce)O2 surface is approximately 0.43 eV lower than that on the surface of the undoped catalyst, suggesting enhanced CO oxidation reactivity. Therefore, the chemical modification of the CeO2 support via doping is an effective strategy for improving the catalytic performance of Pt/CeO2.