bluuebunny/crossref_metadata_2025_split huggingface dataset:
One-step synthesis of Schiff base polymer doped with MWCNTs as electrode material for supercapacitors
Authors: He Mengyuan , Yu Min , Li Jieying , Zhang Mengjie , Xue Lili , Wang Wei 
Published: August 2024

Abstract

Schiff base polymer (TPB) and carbon nanotubes doping Schiff base polymers (TPB/MWCNTs-X, X = 2, 5, 8) were prepared by one-step synthesis method from 2,4,6-triamino-5-nitrosopyrimidine and 4,4'-biphenyldicarboxaldehyde. Scanning electron microscopy, X-ray diffraction, energy dispersive X-ray spectroscopy and Fourier transform-infrared spectroscopy were used to characterize the morphology and phase compositions. Sample TPB/MWCNTs-2 possess the optimal electrochemical performance, measurement results reveal that the specific capacitance of TPB/MWCNTs-2 electrode is 714 F g− 1 at a current density of 0.5 A g− 1 in the three-electrode system, and the capacity retention rate is still 76.6% in 5000 cycles with 10 A g− 1 current density. Furthermore, the asymmetric supercapacitor battery hybrid device (TPB/MWCNTs-2//AC) was established in 6 M KOH electrolyte with TPB/MWCNTs-2 and activated carbon (AC) serving as the positive and negative electrodes, respectively. The TPB/MWCNTs-2//AC device have the maximum energy density of 94.06 Wh kg− 1 with 0.5 A g− 1 current density, at the same time the device possesses 371.87 kg− 1 power density. Carbon nanotubes disrupted the π-π stacking of polymer molecular links and some microcosmic pore structures formed in the nanotubes doping process, and the carbon nanotubes are suitable for channeling of electrolyte ion diffusion from electrolyte solution body to the center of conductive polymer bulk.
Humic Acid Attenuates DSS-Induced Colitis, Increases MUC-2 Expression, and Restores Colonic Histoarchitectural Damage in Adult Male Wistar Rats
Authors: Omolaso Blessing Oluwagbamila , Adeniran Adeoti Gbemisola , Ogunmiluyi Oluwafunmbi Ebenezer , Adesanwo Julius Kayode , Akinwumi Adetutu , Ewonowo Kehinde , Akinsola Oluwatomiwa , Olorunnusi Temitope Abosede 
Published: August 2024

Abstract

This study investigates the role of humic acid (HA) in attenuating Dextran sulfate sodium (DSS)-induced UC in male Wistar rats. Twenty male Wistar rats were randomly assigned to groups (n = 5). Group 1 served as controls; Group 2 received 5% DSS alone; Group 3 received 5% DSS followed by humic acid (30 mg/kg); and Group 4 received 5% DSS followed by sulfasalazine (200 mg/kg). DSS was administered orally to induce colitis in Groups 2, 3, and 4. Colitis was induced for five days and drug treatment done for another 5 days Disease activity index was assessed on days 1, 3, 5, and 10. Animals were euthanized by cervical dislocation, colon specimens harvested for macroscopic assessment, histological and biochemical assays. Data were analyzed using one way ANOVA (p < 0.05). Results show humic acid treatment significantly attenuated DSS-induced colitis by reducing inflammation markers (TNF-α, interleukin-6, interleukin-1β, and arginase), lipid peroxidation (MPO) and restoring colonic histological integrity. Significant improvements were observed in colonic tissue nitrite levels and Muc-2 expression. Conclusively, HA shows promise as an alternative therapeutic for UC, offering antioxidant, anti-inflammatory, and mucosal barrier-protective effects.
Tumor Cell-Intrinsic Circular RNA CircFNDC3B Attenuates CD8+ T Cells Infiltration in Non-Small Cell Lung Cancer
Authors: Qiong Zhou , shan Wei , Xuan Xiang , lei Wang , hao Wang , jie Xing , bei Peng , lin Ye , Yue Qu , Long Chen , han Yang , yu Zhang , qian Xue , qi Ai , Ke Jiang 
Published: August 2024

Abstract

Tumor-infiltrating CD8+ T cells are related with a satisfactory immunotherapy efficacy and a survival benefit. However, the mechanisms underlying differential infiltration levels are largely unknown, especially the role of circular RNAs (circRNAs) involving in CD8+ T cells infiltration remain poorly understood. Here, we identify 9912 distinct circRNAs from four paired normal and tumorous tissues of non-small cell lung cancer (NSCLC). We discover that circFNDC3B, derived from exons 2 and 3 of the FNDC3B gene, is significantly upregulated in NSCLC. TFⅡ-I interacting with STAT1 could function as an activator of transcription, facilitating CXCL10 and CXCL11 expression. However, circFNDC3B could bind to TFⅡ-I forming an RNA-protein complexus, thereby competitively inhibited the interaction between TFⅡ-I and STAT1, decreased the level of CXCL10 and CXCL11, and restricted infiltration of CD8+ T cells eventually. Meanwhile, the mouse circFndc3b ortholog is also inversely correlated with the infiltration of CD8+ T cells, attenuating the PD-1 blockade therapy’s effectiveness. These results demonstrate a pivotal role of tumor cell-intrinsic circRNA in immune infiltration and validate circFNDC3B as a potential target to develop a better effective immunotherapy strategy of NSCLC.
Dynamic Compressive Behavior of Steel Fiber Reinforced Recycled Aggregate Concrete
Authors: Wei Fangfang , Chen Zhuoran , Shi Yilei , Luo Hao 
Published: August 2024

Abstract

Steel Fiber Reinforced Recycled Aggregate Concrete (SFRRAC) presents an innovative and sustainable alternative to promote environmental sustainability and resource efficiency.This paper reports an experimental study of the dynamic compressive behavior of SFRRAC with different volume contents under high strain rates (23.9 ~ 96.3s-1) .The Split Hopkinson Pressure Bar (SHPB) was applied for dynamic impact compression tests at different strain rates and indicated a significant strain rate strengthening effect on the dynamic compressive strength which demonstrated an increase ranging from 10–80% to prove that an increase in steel fiber contents can improve the material compressive behavior. Based on the improved Z-W-T model, the fitting error of the stress-strain curve of recycled concrete under impact load under different steel fiber content and different strain rate was only within 10%, which proved that the model has better fitting ability and can accurately describe the mechanical behavior of steel fiber recycled concrete under dynamic impact. The numerical simulation conducted using ANSYS/LS-DYNA offered a superior representation of the dynamic behavior and performance characteristics of concrete which proved the tendency of internal stress of recycled and the effectiveness and accuracy of impact simulation.
Sema4D Deficiency Enhances Glucose Tolerance Through Acceleration of GLUT2 Synthesis in Hepatocytes
Authors: Zhang Yanling , Jiang Xiaomei , Wu Dongsong , Huang Hao , Jia Guiqing , Zhao Gaoping 
Published: August 2024

Abstract

The glucose transporter 2 (GLUT2) is constitutively expressed in pancreatic beta cells and hepatocytes in mice. It is the most important receptor in glucose-stimulated insulin release and hepatic glucose transport. The Sema4D is a signaling receptor on cell membranes. The correlation between Sema4D and GLUT2 has not been reported previously. We investigated whether knockdown of Sema4D could exert a hypoglycemic effect based on the increased GLUT2 expression in Sema4D -/- mice hepatocytes. First, Sema4D -/- male mice exhibited significantly greater glucose tolerance than wild-type mice in a hyperglycemic environment. Secondly, Sema4D -/- mice had more retained GLUT2 in liver membranes after streptozotocin (STZ) injection according to an immunofluorescence assay. After STZ injection, Sema4D -/- male mice did not exhibit fasting hyperinsulinemia like wild-type mice. Finally, analysis of metabolomic and immunohistochemical data also revealed that Sema4D -/- mice produce hypoglycemic effects by enhancing the pentose phosphate pathway, but not glycogen synthesis. Thus, Sema4D may play an important role in the regulation of glucose homeostasis by affecting GLUT2 synthesis.
Synthesis of novel zeolite-supported zinc-cobalt bimetallic catalyst by co-precipitation-calcination method for efficient activation of persulfate to degrade tetracycline hydrochloride
Authors: Tang Chengjiao , Ren Dajun , Zhang Shuqin , Zhang Xiaoqing 
Published: August 2024

Abstract

Addressing the challenges posed by the high cost and limited efficiency of traditional Chinese medicine wastewater treatment, the development of a cost-effective and highly efficient catalyst for activating persulfate (PMS) to degrade organic pollutants holds significant practical importance. This research successfully synthesized a zinc-cobalt bimetallic catalyst supported on sepiolite (Zn-Co@SEP) using a straightforward co-precipitation-calcination method. Various characterization techniques, including scanning electron microscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, and X-ray photoelectron spectroscopy, validated the synthesis process. The introduction of sepiolite as a carrier provided additional active sites, facilitating the redox cycling of Co2+/Co3+ and Zn2+/Zn3+, which continuously generated reactive species. Zn-Co@SEP exhibited remarkable catalytic activity towards PMS, achieving a degradation efficiency of over 93% for TC (50 mg/L) within just 30 minutes in the Zn-Co@SEP/PMS system. The study systematically investigated the influence of Zn-Co@SEP dosage, PMS dosage, TC concentration, pH, and temperature on the degradation efficiency of the catalytic system. Notably, the Zn-Co@SEP/PMS system maintained high degradation rates for TC across a wide pH range (3–11) and demonstrated robust stability and recyclability, retaining a degradation rate of 89.56% after four cycles of reuse. Further experimental evidence from free radical quenching studies, electron paramagnetic resonance (EPR) experiments, and oxidative capacity potential (OCPT) results underscored the involvement of multiple radicals (1O2, SO4−•, O2−•, •OH) and electron transfer pathways in promoting TC degradation. In conclusion, this research contributes new insights into the synthesis of efficient PMS catalysts tailored for the degradation of antibiotic wastewater, addressing a critical need in environmental remediation.
The association between immune cells and epilepsy：Evidence from Mendelian randomization study and meta-analysis
Authors: Wang Xiangyi , Chen Shenggen , Li Man , Wu Luyan , Zhang Yuying , Lin 婉挥 , Zhu Chaofeng , Huang Huapin 
Published: August 2024

Abstract

Epilepsy is one of the most common serious brain diseases, affecting more than 70 million people. Complex immune-brain interactions can affect the development and function of epilepsy.Two-sample Mendelian randomized (MR) analysis was used to determine the causal relationship between 731 immune cells as exposure data and epilepsy, focal epilepsy (FE), and generalized epilepsy(GE) as outcome data based on the Genome-Wide Association Studies (GWAS) and Finngen R10 dataset. The main methods to evaluate causality were inverse variance weighted (IVW) and P < 0.05 was included in the primary results. Comprehensive sensitivity analyses were used to verify the robustness of results. Finngen R10 dataset and GWAS dataset was respectively used as discovery dataset and validation dataset to select common positive immune cell phenotypes. Finally, reverse MR analysis and meta-analysis were conducted to obtain more accurate results. The final results showed that CD19 on IgD + CD38- is the risk factor for epilepsy (P = 0.031 in the discovery dataset; P = 0.032 in the validation dataset) and CD38 on CD20- (P = 0.007 in the discovery dataset; P = 0.035 in the validation dataset) and CD64 on CD14 + CD16- monocyte (P = 0.019 in the discovery dataset; P = 0.020 in the validation dataset) respectively served as protective factor and risk element for GE based on two different datasets. The meta-analysis of the IVW results from both datasets further support the causal effects of CD19 on IgD + CD38- on epilepsy (odds ratio (OR) = 1.037,95% confidence interval (CI) = 1.012–1.063, P = 0.003), CD38 on CD20- on GE (OR = 0.877,95%CI = 0.777–0.989, P = 0.032) and CD64 on CD14 + CD16- monocyte on GE (OR = 1.044,95%CI = 1.017–1.071, P = 0.001).
Impact of High Pressure on the Volumetric Efficiency in Motor-Driven Two-Dimensional Piston Pumps
Authors: Chen Yong , Hua Congcong , Tong Chengwei , Zang Yiren , Ruan Jian 
Published: August 2024

Abstract

The two-dimensional (2D) piston pump utilizes a cam guide-roller two-degree-of-freedom (2DOF) motion mechanism, making it adaptable to a wide range of variable operating conditions and frequent loaded startups in the context of motor-driven systems. Volumetric efficiency, which measures the ratio of actual to theoretical output flow, is vital for optimizing hydraulic pump performance and reducing energy loss. This study established a mathematical model for the 2D piston pump, considering factors like axial internal and external leakage, circumferential leakage, backflow, fluid compressibility, turbulence, and flow coefficients. The model was built using a co-simulation environment integrating AMESim and Simulink. Simulation results showed that volumetric efficiency increases with higher rotational speeds and decreases with higher pressures. High-pressure backflow is a key factor in adversely affecting volumetric efficiency and requires special attention. Experimental validation was conducted across a speed range of 500--3000 r/min and pressure range of 1--28 MPa. The lowest efficiency recorded was 64.81\% at 500 r/min and 28 MPa, with a maximum deviation of 3.28\% from the simulation. At 3000 r/min and 28 MPa, the efficiency was 89.53\%, deviating by 1.69\% from the simulation. The close correspondence between experimental and simulation results validates the model's reliability in predicting volumetric efficiency.
Effects of tyndallized lactic acid bacteria separated from Phellinus linteus on inflammation and skin barrier damage induced by DNCB
Authors: Bak Seon Gyeong , Chandimali Nisansala , Park Eun Hyun , Lim Hyung Jin , Won Yeong-Seon , Kwon Hyuck Se , Lee Nayong , Oh Hyunjeong , Yun Soon-Il , Park Sang-Ik , Lee Seung Jae 
Published: August 2024

Abstract

Background
The fruiting bodies of the Sanghwang mushroom (Phellinus linteus) have a long history of use in folk medicine throughout Asia, particularly in Korea, Japan, and China. However, research on the Sanghwang mushroom is still at an early stage. In this study, we investigated the therapeutic potential of tyndallized lactic acid bacteria separated from Phellinus linteus (PL-tLB) in the context of atopic dermatitis.
Methods
Keratinocytes, represented by HaCaT cells, were subjected to TNF-α/IFN-γ stimulation followed by treatment with PL-tLB. The results confirmed PL-tLB's concentration-dependent suppression of inflammatory cytokines and chemokines. Atopic dermatitis is a complex, chronic inflammatory skin condition characterized by the dysregulation of skin barrier function. We further validated the efficacy of PL-tLB using an atopic-like mouse model induced by 2,4-Dinitrochlorobenzene (DNCB).
Results
The experimental model mice exhibited revealed an increase in ear thickness and mast cell infiltration after DNCB stimulation, which were subsequently reduced following treatment with PL-tLB. Real-time PCR analysis of ear tissue demonstrated reduced downregulated expression of inflammatory cytokines and chemokines after PL-tLB administration. Additionally, we assessed the expression of skin barrier and tight junction proteins, revealing improvements upon PL-tLB treatment.
Conclusions
These findings suggest that PL-tLB holds promise as a potential treatment and functional material for managing atopic dermatitis.
Carbonate system variation evidences the effect of seasonality in carbon uptake in a tropical seagrass meadow of South Caribbean
Authors: Bernal-Glen Daniel Felipe , Bernal César A. , Mancera-Pineda José Ernesto 
Published: August 2024

Abstract

We explore the variation of the carbonate system in the water column over a seagrass meadow under ecological restoration and its correlation with Net Primary Production (NPP), Net Calcification (NC) and Eutrophication, in a small coralline island within the Seaflower International Biosphere Reserve, Colombian Caribbean. We assessed one point within seagrass and another devoid of seagrass, during dry and rainy seasons. Dry season was characterized by higher levels of pHT (total scale), descending levels of Dissolved Inorganic Carbon (CT) along the day, and net fluxes of carbon towards the ocean. Rainy season presented lower pHT values and carbonate variables not correlated with hour in the meadow, while the area presented fluxes of CO2 towards the atmosphere. NPP in the rainy season decreased by 39% in the point without seagrass and by 95% in the seagrass respect to dry season. NC in the meadow registered values 3.2x higher in dry season than in rainy season. These phenomena evidenced a shift in NPP from seagrass to water column, a strong remineralization process, and loss of sheltering function for calcifying organisms localized in the meadow during rainy season. These findings coincide with previous evaluations in the island, which have shown lower rates of seagrass growth and organic carbon accumulation in sediment during rainy season. Possible explanations include carbon import from adjacent ecosystems and influence of cultural eutrophication. Our results suggest the importance of runoff and eutrophication control to protect carbon sequestration ability and improve the outcome of ecological restoration processes in tropical seagrasses.
Optimization of the Quantum Backpropagation Algorithm for Improving the Quantum Support Vector Machine
Authors: Ye Yiwen , Cai Shuiying , Lin Yunguo 
Published: August 2024

Abstract

The high-dimensional linear separability of the classic support vector machine is achieved through the kernel method, which maps data to a high-dimensional space. However, the kernel method involves estimating multiple parameters, which reduces the model's computational efficiency. To address this, some related works use quantum kernel estimation to replace the classic kernel method, thus reducing the computational load associated with parameter estimation in quantum support vector machines. Despite these improvements, quantum support vector machines face the challenge of establishing correlations between different data points through quantum entanglement to effectively capture the distribution characteristics of the data. Consequently, the model's accuracy is low when performing regression analysis on large datasets with complex distributions. To address this issue, an improved quantum backpropagation algorithm is introduced, utilizing controlled-Z gates to entangle qubits representing different data points. Additionally, to enhance the entanglement between qubits, the absolutely maximally entangled state is employed to further optimize the quantum backpropagation algorithm. This enhancement enables the algorithm to better capture the distribution characteristics of the data. Building on this, the quantum support vector machine model is improved to overcome the shortcomings of the existing model. A new algorithm is proposed, and the parameter count of the new algorithm's circuit is analyzed. Experimental results demonstrate that optimizing the quantum backpropagation algorithm to improve the quantum support vector machine leads to higher accuracy in regression analysis on real-world problems. Specifically, strengthening the degree of quantum entanglement makes the model more capable of capturing the distribution characteristics of complex datasets, resulting in more accurate fitting outcomes.
Numerical study and theoretical interpretation of the role of rafts in piled foundations on cohesive soils
Authors: Corigliano Matteo , Flessati Luca , Marveggio Pietro , Prisco Claudio Giulio di 
Published: August 2024

Abstract

Numerous European infrastructures have reached their intended lifespan and require reassessment according to the recent design standards, nowadays accounting seismic actions for. The current standard verification approach for piled bridge foundations still relies on oversimplifying assumptions, potentially leading to excessive over safety and to unsustainable design solutions. With the aim of improving the design process, without introducing any additional modelling complexity, in this paper the mechanical behaviour of a real piled foundation located on homogeneous clay layer have been numerically studied. Non-linear finite elements numerical analyses have been performed by assuming the soil to behave under undrained conditions. The role of pile-raft-soil coupling, typically neglected in the common design practice, is discussed and numerical results are employed to derive the interaction domain of the piled raft system. By interpreting the failure mechanisms and by using the limit equilibrium method, a simple analytical procedure is proposed to predict the interaction domain under general loading conditions, without performing any numerical analyses. The method is demonstrated to be suitable for pile lengths comparable with the raft major dimension. The procedure has been validated over different load combinations and design geometries.
Analysis of the characteristics of wind power and topography influence on it, with an approach to renewable energy generation
Authors: Derafshi Khabat , Motevalli Sadroddin , Bairamvand Reyhaneh , Ghobadi GholamReza Janbaz 
Published: August 2024

Abstract

There has been a growing demand for energy in the province of Mazandaran in recent years. Considering the capabilities of the province to generate new energy, recognizing and consuming wind energy as a source of renewable energy should be a planning priority. In this study, a statistical analysis of daily wind speed and direction at a height of 10 m in 15 synoptic meteorological stations of Mazandaran Province over a 12-year period (2006 to 2017) was conducted to provide a preliminary estimate of the extractable energy and spatial capacity of wind flow. In addition, the characteristics of wind speed and direction, Weibull probability distribution parameters and wind power potential and density of the stations were also determined. ArcGIS interpolation method (IDW) was used to prepare the calculated layers of the average speed, speed continuity, and power density of the wind at 10, 30, and 50 m heights. Furthermore, to examine the influence of topography on the wind variables, the Pearson correlation coefficient was used to evaluate the relationship between altitude, hillslope aspect, and slope indicators with each of the wind variables. A map of wind speed zones at 50 m height reveals that Baladeh station has a maximum wind speed in July. The correlation coefficient between wind speed and altitude above sea level was 0.677, indicating a 95 percent positive correlation (P-value 0.05). Accordingly, as the altitude of the meteorological stations in the province above sea level increases, the wind speed increases at a height of 10 meters above the ground.