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Abstract This study aimed to investigate the regulatory mechanisms that influenced autophagy in Steroid-induced necrosis of the femoral head (SONFH) by constructing a competing endogenous RNA (ceRNA) network. Blood sample data from the SONFH patients were obtained from the Gene Expression Omnibus (GEO) database under the accession number GSE123568. Autophagy-related genes were identified from the Human Autophagy Database (HADb). Differential analysis and weighted gene co-expression network analysis (WGCNA) were performed on the GSE123568 dataset to screen for core genes and validation was performed with the validation set. Based on the GEO dataset (GSE74089), we performed differential lncRNA analysis. Meanwhile, we utilized three databases, namely miRDB, TargetScan, and StarBase, to predict the miRNAs of target genes and corresponding lncRNAs. Cytoscape software was used to construct and visualize the ceRNA networks. We also employed reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to quantify their expression levels. A total of 1692 differentially expressed genes (DEGs) were identified in the GSE123568 dataset. By intersecting with the HADb database, 47 autophagy-related genes were identified from these DEGs. Furthermore, we found the significant correlation between RNF144B and 37 autophagy genes. Importantly, we established a regulatory axis involving TUG1, hsa-miR-31-5p, and RNF144B., and both TUG1 and RNF144B were upregulated, while hsa-miR-31-5p was downregulated in the SONFH cell model. A TUG1-hsa-miR-31-5p-RNF144B axis was related to autophagy genes, which potentially provided insights into the RNA interactions triggering autophagy in SONFH.

Abstract The over 4,100 species of bird lice are classified into 214 genera in the parvorders Amblycera and Ischnocera. Congeneric species of bird lice usually share much similarity in morphology and in mitochondrial (mt) genome organization. Two recent studies, however, reported substantial intra-genus variation in mt genome organization in bird lice. Both the ancestral single-chromosome mt genome and a fragmented mt genome with two or three minichromosomes were observed in the genera Austromenopon and Laemobothrion. To better understand intra-genus variation in mt genome organization, we sequenced the complete mt genome of the white spoonbill louse Ibidoecus plataleae and compared it with that of the glossy ibis feather louse Ibidoecus bisignatus reported previously. We found that I. plataleae had a fragmented mt genome with 12 minichromosomes; each minichromosome was 2,798 to 3,628 bp in size and had 2 to 6 genes. This is in stark contrast to the mt genome of I. bisignatus, which has all genes on a single chromosome, 14,909 bp in size. This is the most drastic intra-genus variation in mt genome organization observed to date in animals, indicating an unprecedented rapid process of mt genome fragmentation in the genus Ibidoecus. The divergence time between I. plataleae and I. bisignatus is currently unknown but is estimated to be less than 23 million years. Either many minichromosal split events occurred after I. plataleae diverged from I. bisignatus, or one minichromosome splits into multiple minichromosomes in a single event. Sequencing and comparing more Ibidoecusi species will help understand the unusual mt genome fragmentation in this genus.

Abstract Background Tuberculosis (TB) remains a major global health threat. Despite ongoing efforts to control and eradicate TB, various factors including socioeconomic issues, policy modifications, and unexpected public health crises like COVID-19 pandemic have posed new obstacles to achieving TB elimination. This study aims to analyze the changes in global tuberculosis burden over the past 32 years, and provide scientific support for global initiatives targeting the eradication of TB in the post-pandemic period. Methods The data for this study were obtained from the Global Burden of Disease (GBD) 2021 database, with age-standardized incidence rate (ASIR), prevalence rate (ASPR), mortality rate (ASDR), and disability-adjusted life years (DALYs) as the primary assessment indicators. Dynamic changes in the TB burden were analyzed by estimating the annual percentage changes (EAPCs). The attributable ratios of six main risk factors to TB burden were calculated, and the correlation between the Socio-Demographic Index (SDI) and the TB burden was analyzed using Pearson correlation tests. Results The global TB incidence decreased from 8.6 million cases in 1990 to 8.4 million cases in 2021, with a corresponding decline in deaths. However, the TB burden remains higher among men than women. The highest incidence and mortality rates were observed in the age group of 15–69 years, with a notable gender disparity, especially in Eastern Europe. These rates were generally elevated in low-income and lower-middle-income regions, with significantly higher Age-Standardized Incidence Rates and Age-Standardized Death Rates in males compared to females. A significant negative correlation was found between SDI values and TB burden. Analyzing risk factors from the Global Burden of Disease study, it was determined that globally, dietary risks, high body-mass index, high fasting plasma glucose, low physical activity, tobacco, and alcohol use were the main contributors to TB age-standardized Disability-Adjusted Life Years, with tobacco and alcohol use having the most significant impact. Analysis of risk factors suggests that tailored public health interventions for specific genders and regions can effectively lessen the TB burden.

Abstract Background Limited research has explored the potential association between the Triglyceride-Glucose (TyG) and mortality, especially in individuals with Helicobacter pylori (H. pylori) infection. This study seeks to investigate the correlation between the TyG index and H. pylori infection and investigate whether the associations between the TyG index exposure and all-cause mortality are mediated by H. pylori infection. Methods The study utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018, incorporating a final sample size of 2,187 participants. Both univariable and multivariable-adjusted logistic regression analyses were employed to examine the relationship between H. pylori infection and relevant covariates. To assess the association between TyG index, and all-cause mortality in individuals with or without H. pylori infection, Cox regression analysis, and restricted regression cubic spline analysis were implemented. Results A significant positive correlation was observed between the TyG index and an elevated risk of H. pylori infection [OR 1.157, 95% CI (1.383 ~ 1.664)]. This correlation persisted even after adjusting for confounding factors [OR 1.189, 95% CI (1.003, 1.411), P

Rainfall infiltration not only changes the seepage field of the slope, but also reduces the soil strength, which is easy to induce landslide. The soil in the slip zone often shows strain softening during the landslide process. However, the research of the two-parameter strength reduction method based on the strain softening model is still in its infancy, and the influence of seepage field has been ignored when analyzing the stability of landslides in the previous studies. The red-brown soil in the Liupanshui area has strong water retention and obvious strain softening characteristics, and many large and medium-sized landslides have occurred in this area. Understanding the disaster-causing mechanism according to the characteristics of red-brown soil is conducive to the prevention and control of landslides. A three-dimensional geological model was established for the Zhoujiapo landslide in Jichang town, Liupanshui city. Based on the fluid-structure interaction theory of unsaturated soil, a mathematical model of the interaction between the flow field and the stress field of slope was established. The rainwater seepage and the stability of the landslide were simulated by using the finite element and the two-parameter strength reduction method considering the strain softening of the soil. The results show that after rainfall, the rainwater mostly flows into the lower edge and gully along the slope in the surface soil in the tangential and transverse directions rather than all vertical infiltration. The saturation at the bottom of the gully increases significantly and the intensity decreases the most compared to other areas at the upper edge. With time extension of rainfall, a plastic penetration zone along the gully is formed in the slope, which greatly reduces the stability of the landslide. Compared with the classical reduction method, the stability coefficient obtained by the double reduction method considering strain softening in the rainfall process changes from small to large, but the difference was within 4%. It can be seen that the negative impact of red-brown soil strain softening on landslide stability is not significant and weakens with rainfall. The prevention and control of such landslides should focus on reducing the permeability of gully soil. This study provides a theoretical basis for the prevention and control of similar landslides.

Objective: This study aimed to evaluate the efficacy of acupuncture in treating allergic rhinitis (AR) in animal models of the disease, and to explore the underlying mechanism of acupuncture in AR. Methods: Related literature was retrieved from multiple databases, including China National Knowledge Infrastructure (CNKI), Wan Fang databases, SinoMed databases, VIP database, PubMed, EMBASE, the Cochrane Library, up to September 2023. The inclusion criteria were focused on animal experiments that investigated the effect of acupuncture therapy on animal models of AR. Studies combining acupuncture with other Chinese medicine therapies were excluded. Data were extracted independently by two reviewers using standardized forms. A total of 75 studies were finally included. The risk of bias in individual studies was evaluated using the Systematic Review Centre for Laboratory animal Experimentation (SYRCLE) tool, and the quality of reporting was evaluated according to Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines. Meta-analyses and plotting were conducted using STATA 17.0 and RevMan 5.4. When heterogeneity was present, a random effects model was applied. Subgroup, meta-regression and sensitivity analyses were also performed. Results: The SYRCLE scores ranged from 3 to 7, and the ARRIVE scores ranged from 6.5 to 11 points. Meta-analysis results demonstrated that acupuncture could significantly down-regulate EOS counts in both blood and nasal mucosa, and reduce the serum levels of IL-5, compared to the AR model group. The results of the qualitative analysis showed that acupuncture could reduce the behavior scores of AR, down-regulate serum levels of IL-4, IgE and sIgE, as well as up-regulate IFN-γ levels. Subgroup analysis results suggested that the different interventions might contribute to the observed heterogeneity. Conclusion: Our results demonstrate that acupuncture effectively alleviates the nasal allergic symptoms in animal models, inhibits immune and inflammatory signaling transduction, and reduces the release of inflammatory mediators. This study highlights the potential of acupuncture as a promising therapeutic option for AR, however, further studies are required to fully understand its mechanisms of action.

Abstract While associations between periodontitis and an elevated risk of cancer have been suggested, the results of existing observational studies have been inconsistent, also leaving room for further investigation into the underlying mechanisms. This study was designed to delve into the possible causal link between periodontitis and 20 standard cancers while concurrently identifying potential mediators. We initiated a Mendelian randomization analysis that drew from either publicly accessible or personally obtained genome-wide association study (GWAS) datasets. The inverse variance weighting (IVW) method served as our primary tool for analysis. To ensure the strength and consistency of our results, we implemented additional strategies, including weighted median, weighted mode, MR-Egger regression, and MR pleiotropy residual sum and outlier (MR-PRESSO), bolstered by funnel plots. Our analysis unveiled an elevated risk of head and neck cancer concomitant with periodontitis (p = 0.041, OR 0.999, 95% CI 0.999–1.000), specifically a heightened risk of oropharyngeal cancer (p = 0.022, OR 0.999, 95% CI 0.999–1.000). As a result of probing into potential mediators, Fusobacterium nucleatum emerged as a likely intermediary in the promoting effect of periodontitis on oropharyngeal cancer (p = 0.021, OR 0.999, 95% CI 0.998–1.000). Inversely, basal cell carcinoma and endometrial cancer demonstrated an association with an increased incidence of periodontitis (basal cell carcinoma: p = 0.020, OR 0.987, 95% CI 0.976–0.998; endometrial cancer: p = 0.027, OR 0.984, 95% CI 0.970–0.998). However, periodontitis exerted no significant causal impact on the 19 other common cancers or the three subtypes of head and neck cancer. To conclude, our results support the theory that periodontitis contributes to an enhanced risk of head and neck cancer, particularly oropharyngeal cancer, with Fusobacterium nucleatum functioning as a potential intermediary.

Objective To compare the clinical outcomes of a modified arthroscopic triple‐row (TR) repair technique with the suture bridge (SB) repair technique in treating L‐shaped delaminated rotator cuff tears. Various surgical techniques for L‐shaped delaminated rotator cuff tears have been reported, many of which aid in increasing the contact area and pressure of the rotator cuff. However, there is still debate over which technique yields superior results. Methods From January 2017 to March 2020, 61 cases of L‐shaped delaminated rotator cuff tears were included in this study. Of these, 34 cases underwent the modified arthroscopic triple‐row repair technique, while 27 cases were addressed with the suture bridge repair technique. Functional assessment was conducted using the American Shoulder and Elbow Surgeons (ASES) score, the University of California Los Angeles (UCLA) shoulder score, the Constant score (CS), and the visual analogue scale (VAS) score. Magnetic Resonance Imaging (MRI) assessments for rotator cuff healing were performed at the 24‐month postoperative mark. Statistical evaluations were conducted using SPSS for Windows (Version 25.0, IBM, Armonk, NY, USA), employing the Wilcoxon signed‐rank test to compare preoperative and postoperative data and ROM differences, and the Mann–Whitney U test for statistical differences in clinical outcome scores between the two groups. A p‐value of less than 0.05 was considered statistically significant. Results Comparative analysis of the preoperative and final follow‐up scores revealed a substantial enhancement in shoulder function, as indicated by the ASES, UCLA, CS, and VAS scores, with statistical significance (p

Laser additive manufacturing (LAM) has attracted significant interest in developing Al alloys due to its potential to fabricate structural components at low cost and high efficiency. Nevertheless, LAM Al alloys still suffer many issues, including heterogeneous microstructure, various defects, and poor mechanical properties, significantly hindering the advancement of LAM Al alloys. This article seeks to provide a comprehensive overview of the current advancements made in the field of LAM Al alloys and attempts to establish an in-depth relationship between microstructural characteristics, defects, and performances. Development status and limitations of LAM technologies are described, microstructural characteristics of Al alloys in LAM are introduced, mechanisms of formed defects and corresponding mitigation measures are discussed, and current quality improvement strategies are summarized. Following the research of previous work, this review will provide an outlook on overcoming the existing challenges and provide a helpful resource and reference for the development of LAM Al alloys.

Abstract Background Toxoplasma gondii and Neospora caninum are closely related protozoan parasites that are considered important causes of abortion in livestock, causing huge economic losses. Hunan Province ranks 12th in the production of beef and mutton in China. However, limited data are available on the seroprevalence, risk factors and molecular characterization of T. gondii and N. caninum in beef cattle and goats in Hunan province, China. Methods Sera of 985 beef cattle and 1147 goats were examined for the presence of specific antibodies against T. gondii using indirect hemagglutination test (IHAT) and anti-N. caninum IgG using competitive-inhibition enzyme-linked immunoassay assay (cELISA). Statistical analysis of possible risk factors was performed using PASW Statistics. Muscle samples of 160 beef cattle and 160 goats were examined for the presence of T. gondii DNA (B1 gene) and N. caninum DNA (Nc-5 gene) by nested PCR. The B1 gene-positive samples were genotyped at 10 genetic markers using the multilocus nested PCR-RFLP (Mn-PCR-RFLP). Results Specific IgG against T. gondii were detected in 8.3% (82/985) and 13.3% (153/1147) and against N. caninum in 2.1% (21/985) and 2.0% (23/1147) of the beef cattle and goats, respectively. Based on statistical analysis, the presence of cats, semi-intensive management mode and gender were identified as significant risk factors for T. gondii infection in beef cattle. Age was a significant risk factor for T. gondii infection in goats (P 3 years was a significant risk factor for N. caninum infection in beef cattle (P

The quantitative prediction of more process parameter variables for fewer layer geometry variables is challenging in wire-laser DED. This study’s novelty is combining machine learning models with a non-dominated sorting genetic algorithm-II (NSGA-II) to predict process parameters for desired layer geometries accurately. Thirty single-layer deposition experiments are conducted to obtain response data of layer geometries to process parameters. Two support vector regression (SVR) models are trained by these data to predict the layer height and width, respectively, and the mean absolute percentage errors (MAPEs) of these models are 4.16% and 1.76%. A reverse system, consisting of both SVR models and the NSGA-II algorithm, is designed to search the optimal process parameters for the desired layer geometries. The maximum MAPE between the actual layer geometry deposited by the predicted process parameters and the desired layer geometry is less than 5.5%, providing solid confirmation of this methodology’s reliability.

ABSTRACT Blastocystis are common digestive tract parasites in humans and animals, extensively parasitic in humans and other primates. They exhibit extensive genetic diversity; Currently, 17 subtypes (STs) and some populations called non mammalian and avian STs (NMASTs) have been proposed. To understand the infection status and genotype distribution of Blastocystis sp. in wild mouse, this study used PCR technology to study the fecal DNA samples of 111 Leopoldomys edwardsi and 117 Berylmys bowersi collected from Guangdong and Chongqing. Among 228 fecal samples, 4 samples were positive for Blastocystis sp., with a total infection rate of 1.8% (4/228). Four positive samples formed two subtypes of ST3 and ST4, all of which were zoonotic genotypes. This article aims to investigate the infection status and genotype distribution of wild mouse Blastocystis sp., which will help reduce the infection of this pathogen to animals and thereby reduce their risk of zoonotic transmission.

To investigate the ability of sulfonated polyetheretherketone (SPEEK) to promote the proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) and compare the effects of different degrees of sulfonation (DS), SPEEK was made with two different DS. The L-SPEEK group had a lower DS, while the H-SPEEK group had a higher DS. The physicochemical properties of both species were evaluated by scanning electron microscopy (SEM), capitilize Fourier transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), X-ray diffraction (XRD) and differential scanning calorimetry (DSC). Then, proliferation and osteogenic differentiation between the two groups and with pure polyetheretherketone (PEEK) were compared after surface inoculation of bone marrow mesenchymal stem cells (BMSCs). Scanning electron microscopy (SEM) revealed that the surface of the PEEK substrates could be smooth or coarse, and the degree of roughness increased with increasing sulfonation. FTIR spectroscopy showed that both the L-SPEEK and H-SPEEK samples contained sulfonic acid. TGA and XRD revealed that the components in the two groups were the same, but the intensities were different. After BMSC inoculation, a CCK8 assay revealed that the cells proliferated more on the H-SPEEK surface and little on the L-SPEEK surface compared with the PEEK surface. Then, osteogenic differentiation was verified by immunofluorescence staining for OCN and Runx2, which indicated that H-SPEEK had the greatest effect on improving differentiation. The results of alizarin red staining (ARS) and alkaline phosphatase staining (APS) also revealed this trend. Sulfonation can change the microsurface of PEEK, which can improve both BMSC proliferation and osteogenic differentiation.

Resumo Fundamento: O antibiótico quimioterápico antraciclina doxorrubicina (DOX) pode induzir cardiotoxicidade cumulativa e levar à disfunção cardíaca. RNAs não codificantes longos (lncRNAs) podem funcionar como importantes reguladores na lesão miocárdica induzida por DOX. Objetivo: Este estudo tem como objetivo investigar o papel funcional e o mecanismo molecular do RNA antisense lncRNA OXCT1 1 (OXCT1-AS1) na lesão celular miocárdica induzida por DOX in vitro. Métodos: Cardiomiócitos humanos (AC16) foram estimulados com DOX para induzir um modelo de lesão celular miocárdica. A expressão de OXCT1-AS1, miR-874-3p e BDH1 em células AC16 foi determinada por RT-qPCR. A viabilidade das células AC16 foi medida pelo ensaio XTT. A citometria de fluxo foi empregada para avaliar a apoptose de células AC16. Western blotting foi utilizado para avaliar os níveis proteicos de marcadores relacionados à apoptose. O ensaio repórter de luciferase dupla foi conduzido para verificar a capacidade de ligação entre miR-874-3p e OXCT1-AS1 e entre miR-874-3p e BDH1. O valor de p

Objective: The purpose of this study is to analyze the inherent relationship between the score values and the biomechanical characteristics of the forward kicking motion, we aim to identify the fundamental variables influencing the score values of the forward kicking motion and establish the key biomechanical factors that effectively trigger scoring in the forward kicking motion.Methods: The DaeDo electronic scoring system was used with the Vicon optical motion capture system and the Kistler 3D force platform to obtain kinematic and kinetic variables of the front roundhouse kick motion. Linear bivariate correlation analysis and principal component analysis were used to analyze the associations between kinematic, kinetic variables, and scoring values, and summarize key biomechanical factors for effectively scoring.Results: The peak ankle plantar flexion angle and knee extension torque of the kicking leg showed a significant negative correlation with scoring values (r < 0, p < 0.05), while other variables showed no statistical significance. The peak knee flexion angle and hip extension angular velocity of the supporting leg showed a significant positive correlation with scoring values (r > 0, p < 0.01), while the peak ankle plantar flexion torque showed a significant negative correlation with scoring values (r < 0, p < 0.05), and other variables showed no statistically significant correlation. The absolute values of eigenvectors of the first and second principal components, which included hip angular velocity, ankle angle, knee torque, and hip torque, were relatively large, indicating their strong influence on effective scoring triggering.Conclusion: Maintaining ankle dorsiflexion and a larger knee flexion angle in the kicking leg is favorable for triggering scoring. Higher knee flexion angle and hip extension angular velocity in the supporting leg are also advantageous for triggering scoring. “Body posture” and “Strength” are key factors that effectively trigger scoring.

To address the issue of reliable communication under complicated scenarios, an online learning-assisted intelligent OFDM receiver was proposed.The variations of the channel environment could be precepted by the receiver, and the optimal parameters of the receiver under the current scenario were obtained by collecting data and training online.In the channel estimation module of the OFDM system, a performance comparator based on the mean square error of noisy channel samples was designed as the indicator of channel environment variations.To accelerate the online training progress, a lightweight neural network structure was applied.The proposed method was further implemented and verified based on universal software radio peripherals.The numerical simulation and over-the-air experimental results demonstrate that the proposed receiver can perceive and adapt to new environments effectively, and outperforms existing machine learning methods in terms of receiving performance and convergence rate with a limited number of pilots.

For the purpose of meeting the requirements of wrist-worn wearable devices for human-computer interaction and for measuring human physiological parameters, especially dynamic physiological parameters, the collaborative work of various sensors is essential to provide sufficient perceptual information. This study introduces a Wrist Information Detection Sensor Based on Pinhole Imaging (WIDSP). This sensor utilizes the principle of pinhole imaging, employing an image sensor to capture motion and physiological signals at the wrist. Through the processing and analysis of image data, it can achieve the recognition of hand movements and the measurement of human physiological parameters. In the evaluation experiments, the displacement compensation function of WIDSP enhanced the recognition rate of mouse-like movements from 94.67% to 97.33%. Additionally, this sensor achieved a heart rate measurement with less than 2% error, demonstrating WIDSP's broad prospects in wrist information perception applications.

Abstract Fungal pathogens typically use secreted effector proteins to suppress host immune activators to facilitate invasion. However, there is rarely evidence supporting the idea that fungal secretory proteins contribute to pathogenesis by transactivating host genes that suppress defense. We previously found that pathogen Magnaporthe oryzae induces rice Bsr-d1 to facilitate infection and hypothesized that a fungal effector mediates this induction. Here, we report that MoSPAB1 secreted by M. oryzae directly binds to the Bsr-d1 promoter to induce its expression, facilitating pathogenesis. Amino acids 103-123 of MoSPAB1 are required for its binding to the Bsr-d1 promoter. Both MoSPAB1 and rice MYBS1 compete for binding to the Bsr-d1 promoter to regulate Bsr-d1 expression. Furthermore, MoSPAB1 homologues are highly conserved among fungi. In particular, Colletotrichum fructicola CfSPAB1 and Colletotrichum sublineola CsSPAB1 activate kiwifruit AcBsr-d1 and sorghum SbBsr-d1 respectively, to facilitate pathogenesis. Taken together, our findings reveal a conserved module that may be widely utilized by fungi to enhance pathogenesis.

Abstract Background Kirsten rat sarcoma (KRAS) and mutant KRASG12D have been implicated in human cancers, but it remains unclear whether their activation requires ubiquitination. This study aimed to investigate whether and how F-box and leucine-rich repeat 6 (FBXL6) regulates KRAS and KRASG12D activity in hepatocellular carcinoma (HCC). Methods We constructed transgenic mouse strains LC (LSL-Fbxl6 KI/+ ;Alb-Cre, n = 13), KC (LSL-Kras G12D/+ ;Alb-Cre, n = 10) and KLC (LSL-Kras G12D/+ ;LSL-Fbxl6 KI/+ ;Alb-Cre, n = 12) mice, and then monitored HCC for 320 d. Multiomics approaches and pharmacological inhibitors were used to determine oncogenic signaling in the context of elevated FBXL6 and KRAS activation. Co‑immunoprecipitation (Co-IP), Western blotting, ubiquitination assay and RAS activity detection assay were employed to investigate the underlying molecular mechanism by which FBXL6 activates KRAS. The pathological relevance of the FBXL6/KRAS/extracellular signal-regulated kinase (ERK)/mammalian target of rapamycin (mTOR)/proteins of relevant evolutionary and lymphoid interest domain 2 (PRELID2) axis was evaluated in 129 paired samples from HCC patients. Results FBXL6 is highly expressed in HCC as well as other human cancers (P

Carbon fiber-reinforced composites have been widely used in the aerospace industry because of their superior comprehensive performance, including high strength, low density, fatigue resistance, long service life, etc. The interface between the fiber reinforcement and the matrix is one of the key factors that determines the performance of the composites. The construction of covalent bonding connections between the components has proven to be an effective strategy for improving the interfacial bonding strength but always reduces the toughness. In this work, dual silane coupling agents are applied to covalently connect cellulose nanocrystals (CNCs) onto carbon fibers, constructing hierarchical interfacial connections between the fibers and the epoxy matrix and significantly improving the interfacial bonding strength. As a result, the tensile strength of the epoxy composites increased from 519 MPa to nearly 900 MPa, which provides a potential approach for significantly improving the mechanical performance of composites.

Landslide susceptibility measures the probability of landslides occurring under certain geo-environmental conditions and is essential in landslide hazard assessment. Landslide susceptibility mapping (LSM) using data-driven methods applies statistical models and geospatial data to show the relative propensity of slope failure in a given area. However, due to the rarity of multi-temporal landslide inventory, conventional data-driven LSMs are primarily generated by spatial causative factors, while the temporal factors remain limited. In this study, a spatiotemporal LSM is carried out using machine learning (ML) techniques to assess rainfall-induced landslide susceptibility. To achieve this, two landslide inventories are collected for southwestern Pennsylvania: a spatial inventory and a multi-temporal inventory, with 4543 and 223 historical landslide samples, respectively. The spatial inventory lacks the information to describe landslide temporal distribution; there are insufficient samples in the temporal inventory to represent landslide spatial distribution. A novel paradigm of data augmentation through non-landslide sampling based on domain knowledge is applied to leverage both spatial and temporal information for ML modeling. The results show that the spatiotemporal ML model using the proposed data augmentation predicts well rainfall-induced landslides in space and time across the study area, with a value of 0.86 of the area under the receiver operating characteristic curve (AUC), which makes it an effective tool in rainfall-induced landslide hazard mitigation and forecasting.

High-resolution imagery captured by drones can detect critical components on high-voltage transmission towers, providing inspection personnel with essential maintenance insights and improving the efficiency of power line inspections. The high-resolution imagery is particularly effective in enhancing the detection of fine details such as screws. The QYOLO algorithm, an enhancement of YOLOv8, incorporates context queries into the feature pyramid, effectively capturing long-range dependencies and improving the network’s ability to detect objects. To address the increased network depth and computational load introduced by query extraction, Ghost Separable Convolution (GSConv) is employed, reducing the computational expense by half and further improving the detection performance for small objects such as screws. The experimental validation using the Transmission Line Accessories Dataset (TLAD) developed for this project demonstrates that the proposed improvements increase the average precision (AP) for small objects by 5.5% and the F1-score by 3.5%. The method also enhances detection performance for overall targets, confirming its efficacy in practical applications.

IntroductionMicrobial carbon (C) and nutrient limitation exert key influences on soil organic carbon (SOC) and nutrient cycling through enzyme production for C and nutrient acquisition. However, the intercropping effects on microbial C and nutrient limitation and its driving factors between rhizosphere and bulk soil are unclear.MethodsTherefore, we conducted a field experiment that covered sugarcane–peanut intercropping with sole sugarcane and peanut as controls and to explore microbial C and nutrient limitation based on the vector analysis of enzyme stoichiometry; in addition, microbial diversity was investigated in the rhizosphere and bulk soil. High throughput sequencing was used to analyze soil bacterial and fungal diversity through the 16S rRNA gene and internal transcribed spacer (ITS) gene at a phylum level.ResultsOur results showed that sugarcane–peanut intercropping alleviated microbial C limitation in all soils, whereas enhanced microbial phosphorus (P) limitation solely in bulk soil. Microbial P limitation was also stronger in the rhizosphere than in bulk soil. These results revealed that sugarcane-peanut intercropping and rhizosphere promoted soil P decomposition and facilitated soil nutrient cycles. The Pearson correlation results showed that microbial C limitation was primarily correlated with fungal diversity and fungal rare taxa (Rozellomycota, Chyltridiomycota, and Calcarisporiellomycota) in rhizosphere soil and was correlated with bacterial diversity and most rare taxa in bulk soil. Microbial P limitation was solely related to rare taxa (Patescibacteria and Glomeromycota) in rhizosphere soil and related to microbial diversity and most rare taxa in bulk soil. The variation partitioning analysis further indicated that microbial C and P limitation was explained by rare taxa (7%–35%) and the interactions of rare and abundant taxa (65%–93%).ConclusionThis study indicated the different intercropping effects on microbial C and nutrient limitation in the rhizosphere and bulk soil and emphasized the importance of microbial diversity, particularly rare taxa.

Inflammatory cytokines have crucial roles in the pathogenesis of tuberculosis (TB), and interleukin (IL)-27 and IL-35 have a pro-inflammatory and anti-inflammatory effect on many diseases, including infectious diseases. Therefore, we evaluated the relationship between IL-27 and IL-35 gene polymorphism, expression levels, and pulmonary TB (PTB) susceptibility. Nine single-nucleotide polymorphisms (SNPs) in the IL-27 gene (rs181206, rs153109, and rs17855750) and the IL-35 gene (rs4740, rs428253, rs9807813, rs2243123, rs2243135, and rs568408) were genotyped by the SNPscan technique in 497 patients with PTB and 501 controls. There was no significant difference regarding the genotype and allele frequencies of the above SNPs in the IL-27 and IL-35 genes between patients with PTB and controls. Haplotype analysis showed that the frequency of the GAC haplotype in the IL-35 gene was significantly decreased in patients with PTB when compared to controls (p = 0.036). Stratified analysis suggested that the frequency of the IL-27 rs17855750 GG genotype was significantly increased in patients with PTB with fever. Moreover, the lower frequency of the IL-35 rs568408 GA genotype was associated with drug-induced liver injury in patients with PTB. The IL-35 rs428253 GC genotype, as well as the rs4740 AA genotype and A allele, showed significant relationships with hypoproteinemia in patients with PTB. When compared with controls, the IL-27 level was significantly increased in patients with PTB. Taken together, IL-35 gene variation might contribute to a protective role on the susceptibility to PTB, and IL-27 and IL-35 gene polymorphisms were associated with several clinical manifestations of patients with PTB.

To address the problems of poor robustness and high complexity of current physical layer user authentication algorithms, a lightweight convolutional neural network (CNN) channel feature extraction algorithm was proposed to reduce the channel state response required for training by changing the form of network input, and a multi-user physical layer channel feature-assisted authentication mechanism was established based on this algorithm to design a detailed process from user registration to authentication, and multi-user authentication and network parameter update online were completed.Simulation results show that the proposed algorithm can complete multi-user authentication, obtain good detection performance with smaller training rounds, and require fewer training samples than existing multi-user authentication algorithms.

In order to support diverse service demands of communication scenarios, 5G adopts the mixed-numerology system based on orthogonal frequency division multiplexing (OFDM).The mixed-numerology systems still have the problem of high peak-to-average power ratio (PAPR).Furthermore, its design structure makes it difficult to apply traditional PAPR suppression methods straight forwardly, in which mixed signals are generated by superimposing multiple sub-signals with different parameters.An optimization model for minimizing PAPR in mixed-numerology systems was established based on tone reservation method.Utilizing the characteristic of single-peak of time-domain kernel, the multiple copies were generated in different numerologies based on the peak position of the mixed signal.The mixed time-domain kernel was then superimposed to reduce the peaks of the mixed signal.Since the proposed algorithm didn’t require inverse fast Fourier transform (IFFT)/ fast Fourier transform (FFT) operations during iteration, it had relatively low computational complexity.Simulation results show that the proposed algorithm effectively reduces the PAPR of mixed signals.

Abstract Enzymes achieve high catalytic activity with their elaborate arrangements of amino acid residues in confined optimized spaces. Nevertheless, when exposed to complicated environmental implementation scenarios, including high acidity, organic solvent and high ionic strength, enzymes exhibit low operational stability and poor activity. Here, we report a metal-organic frameworks (MOFs)-based artificial enzyme system via second coordination sphere engineering to achieve high hydrolytic activity under mild conditions. Experiments and theoretical calculations reveal that amide cleavage catalyzed by MOFs follows two distinct catalytic mechanisms, Lewis acid- and hydrogen bonding-mediated hydrolytic processes. The hydrogen bond formed in the secondary coordination sphere exhibits 11-fold higher hydrolytic activity than the Lewis acidic zinc ions. The MOFs exhibit satisfactory degradation performance of toxins and high stability under extreme working conditions, including complicated fermentation broth and high ethanol environments, and display broad substrate specificity. These findings hold great promise for designing artificial enzymes for environmental remediation.

Pyrops candelaria is one of the common pests of fruit trees, but the research on the pathogenic microorganisms it may carry is very limited. Therefore, it is essential to reveal the pathogenic microbes it carries and their potential hazards. This study found a new virus from the transcriptome of P. candelaria, which was first reported in P. candelaria and named PyCaV (Pyrops candelaria associated virus). RACE and bioinformatics assay revealed that the full length of PyCaV is 10,855 bp with the polyA tail, containing a single open-reading frame (ORF) encoding a polyprotein consisting of 3171 amino acid (aa). The virus has a typical iflavirus structure, including two rhv domains, an RNA helicase domain (HEL), a 3C cysteine protease domain (Pro), and an RNA–dependent RNA polymerase domain (RdRp). Further phylogenetic analysis revealed that this virus belongs to family Iflaviridae and sequence alignments analysis suggested PyCaV is a new member in an unassigned genus of family Iflaviridae. Further in-depth analysis of the virus infection showed that PyCaV is distributed throughout the whole P. candelaria, including its head, chest, and abdomen, but more PyCaV was identified in the chest. The distribution of PyCaV in different parts of P. candelaria was further explored, which showed that more PyCaV was detected in its piercing–sucking mouthparts and chest viscera. Statistical analysis showed that the PyCaV infection was affected by time and location.

Wire and arc additive manufacturing (WAAM) offers promise in creating large complex structures due to its flexibility and high material deposition rates. The nickel-based alloy IN718 is favoured for WAAM due to its weldability and compatibility. However, WAAM can introduce issues like anisotropic grain structure, porosity, and residual stresses which can lead to directional variations in tensile, fatigue, and fracture behaviour. This paper studied the WAAM process of IN718, utilising cold metal transfer (CMT). The optimised CMT-WAAM parameters for IN718 were identified to as a wire feed speed of 8–10 m/min and a torch travel speed of 0.5–0.7 m/min, resulting in stable deposition and minimal defects. Nevertheless, columnar grain structures were observed in the build direction (BD), with coarse grains in the wall-length direction (WD). This anisotropic microstructure coupled with stress concentrators, contributes to the directional dependence observed in tensile properties, fatigue endurance, and crack growth. The investigation revealed superior ductility in the BD compared to the WD. Interestingly, the fatigue endurance testing showed a longer life in the WD compared with the BD, attributed to stronger stress concentrators in the BD specimens. However, when examining a cracked specimen, the fatigue crack propagated faster in the WD rather than the BD.

Abstract Background Limited research has been conducted on the potential relationship between the dietary inflammation index (DII) and mortality, particularly in individuals with Helicobacter pylori (H. pylori) infection. This study aimed to investigate the association between the DII and H. pylori infection, as well as their respective impacts on all-cause mortality in a cohort of individuals with or without H. pylori infection. Methods Data from the 1999–2018 National Health and Nutrition Examination Survey (NHANES) were utilized for this study, with a final of 4370 participants included. Both univariable and multivariable-adjusted logistic regression analyses were employed to explore the relationship between H. pylori infection and pertinent covariates. Cox regression analysis, as well as restricted regression cubic spline analysis, were utilized to assess the association between DII and all-cause mortality among individuals with or without H. pylori infection. Results The findings demonstrated a positive correlation between DII scores and H. pylori infection, even after adjusting for potential confounding factors. Moreover, higher DII scores were significantly associated with an elevated risk of mortality exclusively in individuals with H. pylori infection, while no such association was observed in the uninfected population. Additional analysis using restricted cubic spline modeling revealed a positive linear relationship between DII scores as a continuous variable and the adjusted risk of all-cause mortality specifically in H. pylori-infected patients. Conclusion The results of this study indicated that DII was positively correlated with an increased risk of H. pylori infection and was associated with a heightened risk of all-cause mortality solely in individuals with H. pylori infection. Consequently, DII might serve as a useful tool for risk stratification in the H. pylori-infected population among U.S. adults. Further research is warranted to elucidate the underlying mechanisms and potential clinical implications of these findings.

The rapid spread of the coronavirus disease (COVID-19) pandemic in over 200 countries poses a substantial threat to human health. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19, can be discharged with feces into the drainage system. However, a comprehensive understanding of the occurrence, presence, and potential transmission of SARS-CoV-2 in sewers, especially in community sewers, is still lacking. This study investigated the virus occurrence by viral nucleic acid testing in vent stacks, septic tanks, and the main sewer outlets of community where confirmed patients had lived during the early days of the epidemic in Wuhan, China. The results indicated that the risk of long-term emission of SARS-CoV-2 to the environment via vent stacks of buildings was low after confirmed patients were hospitalized. SARS-CoV-2 were mainly detected in the liquid phase, as opposed to being detected in aerosols, and its RNA in the sewage of septic tanks could be detected for only four days after confirmed patients were hospitalized. The surveillance of SARS-CoV-2 in sewage could be a sensitive indicator for the possible presence of asymptomatic patients in the community, though the viral concentration could be diluted more than ten times, depending on the sampling site, as indicated by the Escherichia coli test. The comprehensive investigation of the community sewage drainage system is helpful to understand the occurrence characteristics of SARS-CoV-2 in sewage after excretion with feces and the feasibility of sewage surveillance for COVID-19 pandemic monitoring.

Maize tassel detection is essential for future agronomic management in maize planting and breeding, with application in yield estimation, growth monitoring, intelligent picking, and disease detection. However, detecting maize tassels in the field poses prominent challenges as they are often obscured by widespread occlusions and differ in size and morphological color at different growth stages. This study proposes the SEYOLOX-tiny Model that more accurately and robustly detects maize tassels in the field. Firstly, the data acquisition method ensures the balance between the image quality and image acquisition efficiency and obtains maize tassel images from different periods to enrich the dataset by unmanned aerial vehicle (UAV). Moreover, the robust detection network extends YOLOX by embedding an attention mechanism to realize the extraction of critical features and suppressing the noise caused by adverse factors (e.g., occlusions and overlaps), which could be more suitable and robust for operation in complex natural environments. Experimental results verify the research hypothesis and show a mean average precision (mAP@0.5) of 95.0%. The mAP@0.5, mAP@0.5–0.95, mAP@0.5–0.95 (area=small), and mAP@0.5–0.95 (area=medium) average values increased by 1.5, 1.8, 5.3, and 1.7%, respectively, compared to the original model. The proposed method can effectively meet the precision and robustness requirements of the vision system in maize tassel detection.