Search

Abstract Background Dyslipidemia is prominently associated with adverse outcomes in patients with coronary artery disease (CAD). The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is a novel comprehensive lipid index. However, limited evidence exists on the relationship of the NHHR with the risk of adverse outcomes in patients with CAD. This study aimed to explore the associations between the NHHR and adverse outcomes and identify the optimal NHHR ranges linked to the lowest adverse outcome risk in patients with CAD undergoing percutaneous coronary intervention (PCI). Methods Among 2253 patients with CAD undergoing PCI, 2251 with available total cholesterol and HDL-C levels were analyzed. Furthermore, all patients were classified into quintiles based on the NHHR. The primary outcome was the incidence of MACCEs, comprising cardiac mortality, acute myocardial infarction, stroke, and repeat revascularization. Multivariable logistic regression analysis was used to assess the relationship between the NHHR and MACCEs. Moreover, restricted cubic spline (RCS) analysis was performed to quantify nonlinearity. Lastly, the consistency between these associations was confirmed by conducting subgroup and interaction analyses. Results A total of 270 patients experienced MACCEs over a median follow-up of 29.8 months (interquartile range, 25.6–34 months). After adjustment for confounding variables, the adjusted ORs (95% CIs) of the patients in quintiles 2, 3, 4, and 5 were 0.79 (0.52–1.20), 0.64 (0.42–0.99), 1.00 (0.67–1.48), and 1.17 (0.74–1.64), respectively (reference group: quintile 1). Additionally, RCS analysis demonstrated a U-shaped relationship between the NHHR and MACCEs, with an inflection point at an NHHR of 3.119 using a two-piecewise regression model. This relationship was consistent across the various subgroups, while significant interactions were not observed in these associations.The ORs and 95% CIs to the left and right of the inflection point were 0.734 (0.551–0.978) and 1.231 (1.038–1.460), respectively. Conclusions This study reveals a U-shaped association between baseline NHHR and MACCE incidence in patients with CAD undergoing PCI.

The frequent occurrence of coal burst seriously threatens the safe and efficient recovery of coal resources. The research on the mechanism of coal burst is the basis of prediction and disaster prevention. Aiming at the coal burst event under the condition that the stress environment is stable and not affected by dynamic load, the concept of local mine stiffness (LMS) is introduced. Taking the mining area with complex mining layout of the mine as the engineering background, the mechanical response of coal pillar in the process of large-scale mining is analyzed by comprehensively using numerical analysis and field measurement, The evolution of LMS in this process is investigated. It is pointed out that the mining leads to the reduction of LMS, the rapid accumulation of energy in the coal seam and its roof and floor system, and the rapid release of energy when the coal pillar is unstable, resulting in impact damage. The engineering verification is carried out by comparing the evolution of LMS with the mining and the field measured ground sound and microseismic data. The research shows that:①the deformation, load and elastic energy accumulation of coal pillar increase with the overall mining operation, but the LMS decreases. The mining space size and the distance between the mining space and the research area are the main influencing factors. The response degree of the two to the mining of the working face is significantly greater than that of the roadway excavation. The significant influence range of the mining of the working face on the LMS reduction is 3.67 times that of the roadway excavation, and the LMS reduction under the unit advancing distance is 6.41 times that of the roadway excavation.②The good correspondence between the evolution of local mine stiffness with the advancement of the working face and the on-site ground sound and microseismic data indicates that the reduction of local mine stiffness caused by coal mining directly affects the failure mode of coal pillars. The energy in the coal seams and their roof and floor systems accumulates rapidly with the reduction of local mine stiffness and is released rapidly when the bearing capacity of coal pillars decreases, resulting in impact damage. ③After using large-diameter drilling to weaken the coal body, the microseismic energy and frequency are significantly reduced, indicating that large-diameter drilling destroys the coal body in this area, reduces its post peak stiffness, and effectively realizes the impact prevention effect.

Fault-slip rockbursts are a major type of rockbursts in coal mine roadways, posing great hazards. Currently, there is a lack of systematic research on the entire process of fault-slip rockbursts, and prediction and prevention remain fundamental challenges. To achieve experimental simulation of fault-slip rockbursts, a testing system was developed, along with the development of low-strength high-brittleness similar simulation materials. A large-scale similar model containing faults and roadways was prepared, and a series of verification experiments were conducted, realizing the simulation of roadway shock failure and fault shear slip. The testing system is equipped with a triaxial six-face loading function, with a vertical loading capacity of 20 MPa and a model size of 1.50 m×0.75 m×0.75 m. The main frame innovatively adopts a key plate connection, ensuring high rigidity of the main frame. A honeycomb loading shell structure was invented, achieving oil cylinder group loading, which can meet the requirements of fault-slip rockburst simulation. A similar material suitable for fault-slip rockburst simulation was developed, which uses water glass as the binder, sodium fluosilicate as the curing agent, and talcum powder as the aggregate. The similar material has characteristics of both low strength and high brittleness, with a uniaxial compressive strength ranging from 3.44 to 7.81 MPa, an impact energy index of 9.2, and an elastic energy index of 8.83. Based on the test system and low-strength and high-brittleness materials, the bursting failure simulation of roadway under static load was realized, and the feasibility of simulating bursting failure of roadway using low-strength and high-brittleness materials was verified. The loading conditions of the critical equilibrium state of the roadway were obtained, with the continuous shedding of the roadway's side as a significant precursor characteristic of roadway damage. The shear slip of rough serrated faults was realized, confirming that the shear slip of rough faults would cause significant dynamic load disturbances to the roadway, obtaining a reasonable loading method for fault slip. The method of loading the top of the dynamic zone first and unloading the bottom later can achieve instantaneous slip of the fault and eliminate the influence on the static zone stress state.

Abstract The advent of immunotherapy has greatly improved the prognosis of non-small cell lung (NSCLC) patients. However, given its low response rate and high cost of treatment, the search for valuable predictive markers of treatment efficacy is necessary. Considering the complexity and heterogeneity of the tumour and tumour microenvironment, the construction of a multi-dimensional prediction model is necessary. Therefore, we aimed to integrate clinical parameters, radiomic features, and immune signature data from NSCLC patients receiving immunotherapy to construct a multi-dimensional prediction model to better predict the efficacy of immunotherapy. The current study enrolled 137 NSCLC patients who received immunotherapy. We collected baseline clinical information, CT images, and tumour tissue specimens. Using 3D-Slicer software, radiomic features were extracted from patient CT images, and tumor tissue samples obtained before immunotherapy were subjected to immunohistochemical staining. Then, the least absolute shrinkage and selection operator (LASSO) Cox regression analysis was applied to downscale the data, and the radiomic features and immune signatures associated with the prognosis of immunotherapy patients were identified. The modified lung immune predictive index (mLIPI), radiomics score (Radioscore), immune score and multi-dimensional model nomogram were constructed. The C-index and area under the curve (AUC) were applied to evaluate the predictive efficacy of the models. Three radiomic features and three immune signatures that could predict the efficacy of immunotherapy were eventually screened. Multivariate analysis showed that the mLIPI, Radioscore, and immune score were independent predictive factors for PFS and OS (P

Abstract Heat stress (HS) poses a significant challenge to plant survival, necessitating sophisticated molecular mechanisms to maintain cellular homeostasis. Here, we identify SICKLE (SIC) as a key modulator of HS responses in Arabidopsis (Arabidopsis thaliana). SIC is required for the sequestration of RNA DEBRANCHING ENZYME 1 (DBR1), a rate-limiting enzyme of lariat intronic RNA (lariRNA) decay, into stress granules (SGs). The sequestration of DBR1 by SIC enhances the accumulation of lariRNAs, branched circular RNAs derived from excised introns during pre-mRNA splicing, which in turn promote the transcription of their parental genes. Our findings further demonstrate that SIC-mediated DBR1 sequestration in SGs is crucial for plant HS tolerance, as deletion of the N-terminus of SIC (SIC1–244) impairs DBR1 sequestration and compromises plant response to HS. Overall, our study unveils a mechanism of transcriptional regulation in the HS response, where lariRNAs are enriched through DBR1 sequestration, ultimately promoting the transcription of heat stress tolerance genes.

Abstract pH value is a crucial index used to evaluate pork quality due to its direct impact on specific meat characteristics. This study investigated the genetic mechanisms influencing pH values through measurements taken from the longissimus dorsi muscle of Beijing Black pigs at 2 h (pH2h) and 24 h (pH24h) postmortem. A total of 614 Beijing Black pigs were subsequently genotyped using the Illumina Porcine 50K SNP Chip. Heritability estimates for pH2h and pH24h were found to be 0.19 and 0.25, respectively, with a genetic correlation of 0.53. Furthermore, we conducted both a genome‐wide association study (GWAS) and an RNA sequencing (RNA‐seq) analysis, the latter of which identified differentially expressed genes (DEGs) between high and low pH groups. We identified 31, 6, and 32 single‐nucleotide polymorphisms in the pH2h, pH24h, and pH2–24h traits, respectively. The GWAS results revealed the presence of the SYT5 gene in both the pH2h and pH2–24h traits, while the SNX13 gene was simultaneously identified in the pH24h and pH2–24h traits. The RNA‐seq results also found SYT5 to be highly expressed, while SNX13 did not exhibit differential expression. Moreover, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses based on the DEGs revealed potential links between pH levels and the glycogen metabolic process as well as associations with the regulation of cell proliferation and calcium ion transmembrane transport. Ultimately, SYT5 and SNX13 emerged as key candidate genes affecting pH values at 2 and 24 h, respectively. These findings contribute to a better understanding of the genetic mechanisms affecting pork quality and safety and offer insights for enhancing meat quality through genetic improvement.

Abstract This study aims to illustrate epidemiology of comorbid CVD in the real-world clinical setting of patients with psoriasis in China. We used data of adult patients with psoriasis who were registered in the register of China National Clinical Center for Skin and Immune Diseases between August 2020 and September 2021. Psoriasis was clinically diagnosed following the national guidelines. Univariate and multivariate logistic regression models were used to examine the factors associated with comorbid CVD in patients with psoriasis. Of the 11,560 psoriasis patients (age ≥ 18 years, mean age 41.87 years, 64.88% males), 236 were ascertained with CVD, with the overall prevalence being 2.62%. Multivariate logistic regression analysis suggested that the odds ratio (95% confidence interval) of CVD in psoriasis patients was 2.27 (2.03–2.54) for older age (per 10-year increment), 0.65 (0.48–0.90) for female, 2.07 (1.39–3.06) for obesity (BMI ≥ 28 vs.

Abstract With increases in life expectancy, the number of patients requiring joint replacement therapy and experiencing periprosthetic osteolysis, the most common complication leading to implant failure, is growing or underestimated. In this study, we found that osteolysis progression and osteoclast differentiation in the surface of the skull bone of adult mice were accompanied by significant expansion of lymphatic vessels within bones. Using recombinant VEGF-C protein to activate VEGFR3 and promote proliferation of lymphatic vessels in bone, we counteracted excessive differentiation of osteoclasts and osteolysis caused by titanium alloy particles or inflammatory cytokines LPS/TNF-α. However, this effect was not observed in aged mice because adipogenically differentiated mesenchymal stem cells (MSCs) inhibited the response of lymphatic endothelial cells to agonist proteins. The addition of the JAK inhibitor ruxolitinib restored the response of lymphatic vessels to external stimuli in aged mice to protect against osteolysis progression. These findings suggest that inhibiting SASP secretion by adipogenically differentiated MSCs while activating lymphatic vessels in bone offers a new method to prevent periprosthetic osteolysis during joint replacement follow-up.

Abstract Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)—the three dimensions in evaluating L2 speakers’ oral proficiency, and the subsequent impact indices on the oral performance of Chinese college students. To bridge this gap, this study used comparative analysis, Pearson analysis, and linear regression analysis to delve into the relationship and correlations between paired ASS indicators of “pronunciation”, “fluency”, “integrity”, “speed”, “duration”, and “overall”, while also analyzing the relationships between “overall” and other variables. These analyses were conducted using 956 audio clips of freshmen who took the College English Test-Spoken English Test Band 4 (CET-SET-4) in May 2022 in China. The findings reveal that (1) the ASS indicators and evaluation methods are similar but not identical to those employed in prior studies; (2) “pronunciation” encapsulates both the accuracy and fluency dimensions of CAF; (3) “pronunciation” and “integrity” have significant impacts on Chinese college students’ oral English performance in read-aloud tasks. The study suggests that future research should further investigate the specific pronunciation challenges faced by Chinese college students, such as phonetics, stress, and intonation. Additionally, it highlights the need to comprehend teachers’ attitudes and preferences towards ASS to enhance its effectiveness in assessing second language (L2) learners’ oral proficiency. The study would provide some references to teachers for oral English teaching design and students for their self-assessment of oral English proficiencies.

Abstract The Huang-Huai-Hai region accounts for 80% of China’s wheat production, leading to severe groundwater depletion and substantial environmental impacts. Here we present an optimization framework for wheat redistribution to reduce both water requirements and environmental impacts without compromising production. Our results show that environmental footprints can be reduced—blue water by 16%, grey water by 21%, and greenhouse gas emissions by 18%—while enhancing resource use efficiency, with irrigation water productivity improving by 21% and nitrogen use efficiency by 11%. Maintaining current production levels is achievable with these adjustments. Furthermore, allowing a 17–18% decrease in wheat production could result in a groundwater depth increase of 9.03–9.38 m by 2030, ensuring sustainable groundwater use. In regions experiencing groundwater depletion, blue water, grey water and greenhouse gas emissions could decrease by over one third. Our findings offer an alternative strategy for promoting sustainable agriculture in regions facing groundwater depletion worldwide.

Abstract Danshen, a prominent herb in traditional Chinese medicine (TCM), is known for its potential to enhance physiological functions such as blood circulation, immune response, and resolve blood stasis. Despite the effectiveness of COVID-19 vaccination efforts, some individuals still face severe complications post-infection, including pulmonary fibrosis, myocarditis arrhythmias and stroke. This study employs a network pharmacology and molecular docking approach to investigate the potential mechanisms underlying the therapeutic effects of candidate components and targets from Danshen in the treatment of complications in COVID-19. Candidate components and targets from Danshen were extracted from the TCMSP Database, while COVID-19-related targets were obtained from Genecards. Venn diagram analysis identified common targets. A Protein–Protein interaction (PPI) network and gene enrichment analysis elucidated potential therapeutic mechanisms. Molecular docking evaluated interactions between core targets and candidate components, followed by molecular dynamics simulations to assess stability. We identified 59 potential candidate components and 123 targets in Danshen for COVID-19 treatment. PPI analysis revealed 12 core targets, and gene enrichment analysis highlighted modulated pathways. Molecular docking showed favorable interactions, with molecular dynamics simulations indicating high stability of key complexes. Receiver operating characteristic (ROC) curves validated the docking protocol. Our study unveils candidate compounds, core targets, and molecular mechanisms of Danshen in COVID-19 treatment. These findings provide a scientific foundation for further research and potential development of therapeutic drugs.

Chinese soft-shelled turtle (Pelodiscus sinensis) is an important aquaculture species in China. However, with the continuous development of P. sinensis cultures, problems related to germplasm degradation and population mixing have become increasingly prominent. This has seriously affected the protection and utilization of germplasm resources by P. sinensis. To broaden the understanding of the germplasm resources of P. sinensis and improve the efficiency of germplasm identification, Super-GBS sequencing technology was used to conduct population genetic analysis of P. sinensis samples from six different populations distributed in five provinces. As a result, 1464,488 SNPs were identified. Genetic structure analysis revealed that the six P. sinensis populations could be divided into three sub-populations. The genetic differentiation coefficient of the DT and CY populations was very low (Fst=0.0088), indicating that differentiation had not yet occurred. Additionally, 15 KASP core markers for the identification of P. sinensis populations were developed using KASP typing technique for the first time. Genetic information can lay a foundation for the protection and utilization of germplasm resources by P. sinensis, and the fingerprinting database developed in this study provides a practical tool for authenticating P. sinensis.

Elderly individuals undergoing surgical procedures are often confronted with the peril of experiencing postoperative cognitive dysfunction (POCD). Prior research has demonstrated the exacerbating effect of sevoflurane anesthesia on neuroinflammation, which can further deteriorate the condition of POCD in elderly patients. Intermittent fasting (IF) restricts food consumption to a specific time window and has been demonstrated to ameliorate cognitive dysfunction induced by neuropathic inflammation. We subjected 18-month-old male mice to 16 hours of fasting and 8 hours of unrestricted eating over a 24-hour period for 0, 1, 2, and 4 weeks, followed by abdominal exploration under sevoflurane anesthesia. In this study, we aim to explore the potential impact of IF on postoperative cognitive function in aged mice undergoing sevoflurane surgery through the preoperative implementation of IF measures. The findings indicate two weeks of IF leads to a significant enhancement of learning and memory capabilities in mice following surgery. The cognitive performance, as determined by the novel object recognition and Morris water maze tests, as well as the synaptic plasticity, as measured by in vivo electrophysiological recordings, has demonstrated marked improvements. Furthermore, the administration of IF markedly enhances the expression of synaptic-associated proteins in hippocampal neurons, concomitant with a decreasing expression of pro-inflammatory factors and a reduced density of microglial cells within the hippocampal brain region. To summarize, the results of this study indicate that IF may mitigate inflammation in the hippocampal area of the brain. Furthermore, IF appears to provide a safeguard against cognitive impairment and synaptic plasticity impairment brought on by sevoflurane anesthesia.

Edge computing, a key technology in the Internet of Things, can help integrate real-time fault diagnosis into industrial applications. Lightweight and compression technologies are essential for deploying high-precision deep learning methods on resource-constrained edge computing systems. However, modeling accuracy is severely compromised by existing methods. To overcome this limitation, a new multi-stage pruning and distillation architecture was proposed in this study to compress a depthwise separable convolutional network for intelligent fault diagnosis of bearings in edge computing systems. The model was implemented on an NVIDIA Jetson Nano and verified using two bearing fault datasets. The results show that the proposed method can significantly reduce the calculation and reasoning time of the model and maintain high accuracy. The proposed method exhibits remarkable effectiveness, requires minimal memory, provides fast inference speeds, and is suitable for use in edge devices with less configuration.

Esophageal cancer (EC) is among the most aggressive malignancies, ranking as the seventh most prevalent malignant tumor worldwide. Lymph node metastasis (LNM) indicates localized spread of cancer and often correlates with a poorer prognosis, emphasizing the necessity for neoadjuvant systemic therapy before surgery. However, accurate identification of LNM in EC presents challenges due to the lack of satisfactory diagnostic techniques. Imaging techniques, including ultrasound and computerized tomography scans, have low sensitivity and accuracy in assessing LNM. Additionally, the existing serological detection lacks precise biomarkers. The intricate and not fully understood molecular processes involved in LNM of EC contribute to current detective limitations. Recent research has shown potential in using various molecules, circulating tumor cells (CTCs), and changes in the microbiota to identify LNM in individuals with EC. Through summarizing potential biomarkers associated with LNM in EC and organizing the underlying mechanisms involved, this review aims to provide insights that facilitate biomarker development, enhance our understanding of the underlying mechanisms, and ultimately address the diagnostic challenges of LNM in clinical practice.

Drug infusion therapy after surgery for urothelial carcinoma is an effective measure to reduce cancer recurrence rate. Hydrogels are drug carriers with good biocompatibility and high drug loading capacity, which can optimize the pharmacokinetics of drugs in the urinary system to improve the therapeutic effect. Compared with the traditional free drug in situ perfusion, the hydrogel drug loading system can still maintain effective drug concentration in the face of continuous urinary flushing due to its good mucosal adhesion effect. The significantly prolonged drug retention time can not only improve the therapeutic effect of drugs, but also reduce the discomfort and risk of urinary tract infections caused by frequent drug infusion, and improve patient compliance. In addition, the combination of hydrogel with nanoparticles and magnetic materials can also improve the mucosal permeability and targeting effect of the hydrogel drug loading system, so as to overcome the mucus layer of urinary epithelium and the physiological barrier of tumor and minimize the impact on normal tissue and cell functions. At present, the research of hydrogels for urothelial cancer treatment involves chemotherapy, immunotherapy, gene therapy, inhibition of metabolism and multi strategy synergistic therapy. This review summarizes the research progress of hydrogels for the treatment of urothelial carcinoma, hoping to provide a reference for the future research of safe, reliable, effective, and advanced hydrogels with little side effects.

Wilms tumor (WT) is the most common type of malignant abdominal tumor in children; it exhibits a high degree of malignancy, grow rapidly, and is prone to metastasis. This study aimed to construct a prognosis model based on anoikis-related genes (ARGs) and epithelial-mesenchymal transition (EMT)-related genes (ERGs) for WT patients; we assessed the characteristics of the tumor microenvironment and treatment efficacy, as well as identifying potential therapeutic targets. To this end, we downloaded transcriptome sequencing data and clinical data for WT and normal renal cortices and used R to construct and validate the prognostic model based on ARGs and ERGs. Additionally, we performed clinical feature analysis, nomogram construction, mutation analysis, drug sensitivity analysis, Connectivity Map (cMAP) analysis, functional enrichment analysis, and immune infiltration analysis. Finally, we screened the hub gene using the STRING database and validated it via experiments. In this way, we constructed a model with good accuracy and robustness, which was composed of seven anoikis- and EMT-related genes. Paclitaxel and mesna were selected as potential chemotherapeutic drugs and adjuvant chemotherapeutic drugs for the WT high-risk group by using the Genomics of Drug Sensitivity in Cancer (GDSC) and cMAP compound libraries, respectively. We proved the existence of a strong correlation between invasive immune cells and prognostic genes and risk scores. Next, we selected NTRK2 as the hub gene, and in vitro experiments confirmed that its inhibition can significantly inhibit the proliferation and migration of tumor cells and promote late apoptosis. In summary, we screened out the potential biomarkers and chemotherapeutic drugs that can improve the prognosis of patients with WT.

BackgroundGrass coverage (GC) under no-tillage systems in orchards signifcantly infuences underground carbon (C) and nitrogen (N) sequestration, primarily through promoting mineral nutrient utilization by rhizospheric microorganisms. However, the comprehensive impact of GC on microbial communities and plant responses using soil metabolomics remains inadequately recognized.MethodsWe investigated two rhizosphere types established since 2002: bristlegrass (Setaria viridis (L.) P. Beauv.) coverage (SC) and clean cultivation (CC) to assess their efects on soil parameters, enzyme activities, and key pear agronomic traits, including yield (single fruit weight (SFW)) and qualities (soluble solids content (SSC), and total soluble sugar (TSS)). We combined microbiological analysis (16S rRNA sequencing) and non-targeted metabolomics (UPLC-MS/MS and GC–MS) to explore how microbial communities infuence fruit agronomic traits and soil nutrient dynamics in pear orchards under SC conditions.ResultsOur fndings indicate that SC signifcantly enhances soil organic carbon (SOC), soil organic nitrogen (SON), the C:N ratio, and available nitrogen (AN). Moreover, SC leads to pronounced increases in soil enzyme activities involved in the C cycle and storage, including soil sucrase, β-glucosidase, polyphenol oxidase and cellulase. Microbiome analysis revealed substantial diferences in microbial community composition and diversity indices between SC and CC rhizosphere soils within the 0–40 cm depth. Metabolomic analysis demonstrated significant alterations in metabolite profiles across both the 0-20 cm and 20-40 cm layers under SC conditions. The identifed metabolites primarily involve sugar and amino acid-related metabolic pathways, refecting perturbations in C and N metabolism consistent with shifts in bacterial community structure. Several plant growth-promoting rhizobacteria (PGPRs) taxa (e.g., Haliangium, Bacteroides, mle1-7, Subgroup_22, Ellin6067, MND1, Flavobacterium, and Cellvibrio) were enriched under SC, associated with metabolites such as sucrose, N-acetyl-D-glucosamine, N-acetyl-L-glutamic acid, rhamnose, UDP-GlcNAc and D-maltose. These fndings suggest their roles in promoting C and N sequestration processes through sucrose synthesis and glycolytic pathways in the soil, which was signifcantly correlated with the formation of agronomic traits such as fruit yield, SFW SSC and TSS (p

In response to the poor active support effect of the surface protection components in soft coal roadway and the continuous expansion of the broken range of local exposed surrounding rock, which leads to the failure of anchor rod and cables, a mesh grouting surface type prestressed application technology has been developed. The authors conducted post mesh grouting tests on different specifications and models of metal mesh, and obtained the mechanical response characteristics of the support system during the application of active surface prestressing. Based on this, the post mesh grouting tests on the roof and two sides of the mesh under on-site conditions were carried out, verifying the applicability of post mesh grouting technology. The research results indicate that: ① There is a gap between the metal mesh and the coal wall, which leads to poor active support ability. The continuous expansion of the broken range of the exposed surrounding rock is the main controlling factor for the failure of anchor rod and anchor cable support. Filling the uneven structure around the contact surface between the metal mesh and the coal wall, increasing the active support ability of the protective surface components, and comprehensively sealing the surrounding rock are the technical means to improve the anchor mesh support system; ② Injecting and filling between the metal mesh and the surrounding rock can achieve the application of surface active pre-stress. The trend of surface stress change is mainly divided into: the initial stage of constant surface stress, the stage of increasing surface stress, and the stage of reducing surface stress to stable state; ③ During the process of grouting behind the mesh, the trend of changes in surface stress values is closely related to the grouting pressure and deformation of the metal mesh. During the process of increasing surface stress, the grouting pressure and deformation of the metal mesh also increase accordingly; ④ Grouting behind the mesh can effectively alleviate the stress concentration of the cable tray. During the process of increasing the surface stress value, the pre-tightening force of the cable with stress concentration can show a small decrease trend, while the pre-tightening force of the cable with relatively uniform stress shows a synchronous upward trend during the process of increasing the surface stress value. The technologies developed are expected to become supporting technologies for rock bolt support, providing technical and theoretical references for the treatment of complex and difficult roadway.

Abstract Background Ureteropelvic junction obstruction (UPJO) is the most common cause of pediatric congenital hydronephrosis, and continuous kidney function monitoring plays a role in guiding the treatment of UPJO. In this study, we aimed to explore the differentially expressed proteins (DEPs) in the urinary extracellular vesicles(uEVs) of children with UPJO and determine potential biomarkers of uEVs proteins that reflect kidney function changes. Methods Preoperative urine samples from 6 unilateral UPJO patients were collected and divided into two groups: differential renal function (DRF) ≥ 40% and DRF

Abstract Background Long non-coding RNAs (lncRNAs) play a crucial role in regulating gene expression vital for the growth and development of plants. Despite this, the role of lncRNAs in Chinese cabbage (Brassica rapa L. ssp. pekinensis) pollen development and male fertility remains poorly understood. Results In this study, we characterized a recessive genic male sterile mutant (366–2 S), where the delayed degradation of tapetum and the failure of tetrad separation primarily led to the inability to form single microspores, resulting in male sterility. To analyze the role of lncRNAs in pollen development, we conducted a comparative lncRNA sequencing using anthers from the male sterile mutant line (366–2 S) and the wild-type male fertile line (366–2 F). We identified 385 differentially expressed lncRNAs between the 366–2 F and 366–2 S lines, with 172 of them potentially associated with target genes. To further understand the alterations in mRNA expression and explore potential lncRNA-target genes (mRNAs), we performed comparative mRNA transcriptome analysis in the anthers of 366–2 S and 366–2 F at two stages. We identified 1,176 differentially expressed mRNAs. Remarkably, GO analysis revealed significant enrichment in five GO terms, most notably involving mRNAs annotated as pectinesterase and polygalacturonase, which play roles in cell wall degradation. The considerable downregulation of these genes might contribute to the delayed degradation of tapetum in 366–2 S. Furthermore, we identified 15 lncRNA-mRNA modules through Venn diagram analysis. Among them, MSTRG.9997-BraA04g004630.3 C (β-1,3-glucanase) is associated with callose degradation and tetrad separation. Additionally, MSTRG.5212-BraA02g040020.3 C (pectinesterase) and MSTRG.13,532-BraA05g030320.3 C (pectinesterase) are associated with cell wall degradation of the tapetum, indicating that these three candidate lncRNA-mRNA modules potentially regulate pollen development. Conclusion This study lays the foundation for understanding the roles of lncRNAs in pollen development and for elucidating their molecular mechanisms in regulating male sterility in Chinese cabbage.

Abstract Plasma proteins are considered the most informative source of biomarkers for disease diagnosis and monitoring. Mass spectrometry (MS)-based proteomics has been applied to identify biomarkers in plasma, but the complexity of the plasma proteome and the extremely large dynamic range of protein abundances in plasma make the clinical application of plasma proteomics highly challenging. We designed and synthesized zeolite-based nanoparticles to deplete high-abundance plasma proteins. The resulting novel plasma proteomic assay can measure approximately 3000 plasma proteins in a 45 min chromatographic gradient. Compared to those in neat and depleted plasma, the plasma proteins identified by our assay exhibited distinct biological profiles, as validated in several public datasets. A pilot investigation of the proteomic profile of a hepatocellular carcinoma (HCC) cohort identified 15 promising protein features, highlighting the diagnostic value of the plasma proteome in distinguishing individuals with and without HCC. Furthermore, this assay can be easily integrated with all current downstream protein profiling methods and potentially extended to other biofluids. In conclusion, we established a robust and efficient plasma proteomic assay with unprecedented identification depth, paving the way for the translation of plasma proteomics into clinical applications. Graphical Abstract

Abstract Dent and flint kernel architectures are important characteristics that affect the physical properties of maize kernels and their grain end uses. The genes controlling these traits are unknown, so it is difficult to combine the advantageous kernel traits of both. We found mutation of ARFTF17 in a dent genetic background reduces IAA content in the seed pericarp, creating a flint-like kernel phenotype. ARFTF17 is highly expressed in the pericarp and encodes a protein that interacts with and inhibits MYB40, a transcription factor with the dual functions of repressing PIN1 expression and transactivating genes for flavonoid biosynthesis. Enhanced flavonoid biosynthesis could reduce the metabolic flux responsible for auxin biosynthesis. The decreased IAA content of the dent pericarp appears to reduce cell division and expansion, creating a shorter, denser kernel. Introgression of the ARFTF17 mutation into dent inbreds and hybrids improved their kernel texture, integrity, and desiccation, without affecting yield.

Abstract Background Microbiota are closely associated with human health and disease. Metaproteomics can provide a direct means to identify microbial proteins in microbiota for compositional and functional characterization. However, in-depth and accurate metaproteomics is still limited due to the extreme complexity and high diversity of microbiota samples. It is generally recommended to use metagenomic data from the same samples to construct the protein sequence database for metaproteomic data analysis. Although different metagenomics-based database construction strategies have been developed, an optimization of gene taxonomic annotation has not been reported, which, however, is extremely important for accurate metaproteomic analysis. Results Herein, we proposed an accurate taxonomic annotation pipeline for genes from metagenomic data, namely contigs directed gene annotation (ConDiGA), and used the method to build a protein sequence database for metaproteomic analysis. We compared our pipeline (ConDiGA or MD3) with two other popular annotation pipelines (MD1 and MD2). In MD1, genes were directly annotated against the whole bacterial genome database; in MD2, contigs were annotated against the whole bacterial genome database and the taxonomic information of contigs was assigned to the genes; in MD3, the most confident species from the contigs annotation results were taken as reference to annotate genes. Annotation tools, including BLAST, Kaiju, and Kraken2, were compared. Based on a synthetic microbial community of 12 species, it was found that Kaiju with the MD3 pipeline outperformed the others in the construction of protein sequence database from metagenomic data. Similar performance was also observed with a fecal sample, as well as in silico mixed datasets of the simulated microbial community and the fecal sample. Conclusions Overall, we developed an optimized pipeline for gene taxonomic annotation to construct protein sequence databases. Our study can tackle the current taxonomic annotation reliability problem in metagenomics-derived protein sequence database and can promote the in-depth metaproteomic analysis of microbiome. The unique metagenomic and metaproteomic datasets of the 12 bacterial species are publicly available as a standard benchmarking sample for evaluating various analysis pipelines. The code of ConDiGA is open access at GitHub for the analysis of microbiota samples. Video Abstract

Abstract Background With rapid increase in the global use of various plastics, microplastics (MPs) and nanoplastics (NPs) pollution and their adverse health effects have attracted global attention. MPs have been detected out in human body and both MPs and NPs showed female reproductive toxicological effects in animal models. Miscarriage (abnormal early embryo loss), accounting for 15-25% pregnant women worldwide, greatly harms human reproduction. However, the adverse effects of NPs on miscarriage have never been explored. Results In this study, we identified that polystyrene (PS) plastics particles were present in women villous tissues. Their levels were higher in villous tissues of unexplained recurrent miscarriage (RM) patients vs. healthy control (HC) group. Furthermore, mouse assays further confirmed that exposure to polystyrene nanoplastics (PS-NPs, 50 nm in diameter, 50 or 100 mg/kg) indeed induced miscarriage. In mechanism, PS-NPs exposure (50, 100, 150, or 200 µg/mL) increased oxidative stress, decreased mitochondrial membrane potential, and increased apoptosis in human trophoblast cells by activating Bcl-2/Cleaved-caspase-2/Cleaved-caspase-3 signaling through mitochondrial pathway. The alteration in this signaling was consistent in placental tissues of PS-NPs-exposed mouse model and in villous tissues of unexplained RM patients. Supplement with Bcl-2 could efficiently suppress apoptosis in PS-NPs-exposed trophoblast cells and reduce apoptosis and alleviate miscarriage in PS-NPs-exposed pregnant mouse model. Conclusions Exposure to PS-NPs activated Bcl-2/Cleaved-caspase-2/Cleaved-caspase-3, leading to excessive apoptosis in human trophoblast cells and in mice placental tissues, further inducing miscarriage. Graphical Abstract

Background The potential impact of elevated intra-abdominal pressure (IAP) on residual renal function (RRF) has not been determined. The objective of this study was to investigate the relationship between IAP and the rate of RRF decline in newly initiated peritoneal dialysis (PD) patients, and to identify the optimal IAP threshold value for delaying the deterioration of RRF.Methods A cohort of 62 newly initiated PD patients who completed both 6- and 12-month follow-up evaluations was obtained using the Durand method. A logistic regression model was used to identify variables associated with a rapid decline in RRF. Receiver operating characteristic (ROC) curves were generated to determine the optimal threshold value. Another retrospective cohort analysis was performed to validate the identified critical value.Results For each 1 cmH2O increase in IAP, the risk of a rapid decline in the RRF increased by a factor of 1.679. Subsequent analysis revealed that patients in the high IAP group had more significant decreases in residual renal estimated glomerular filtration rate (eGFR) (Z = −3.694, p

Abstract The lack of a cure for osteoarthritis (OA), a prevalent joint disease among older individuals, remains an ongoing challenge. Obesity is a common risk factor for OA. Chondrocyte autophagy plays a crucial role in delaying the onset of OA. Our previous studies have demonstrated a significant elevation in the levels of oleic acid (OLA) and linoleic acid (LA) in the synovial fluid (SF) of patients with OA and obesity compared to those with OA alone, and an inhibitory effect of these molecules on the activation of autophagy. Accumulating evidence indicates a reciprocal regulatory relationship between autophagy and ciliogenesis; however, whether autophagy‐mediated ciliogenesis plays a significant role in the pathogenesis of OA remains unclear. In this study, we aimed to determine whether OLA and LA affect OA development via the regulation of chondrocyte autophagy‐mediated ciliogenesis. We found that both molecules inhibited this process in chondrocytes. Moreover, intracellular calcium and reactive oxygen species (ROS) levels increased simultaneously. Further, we explored the relationship between autophagy and ciliogenesis in chondrocytes. Activation of autophagy by rapamycin significantly attenuated the ciliogenesis inhibition caused by OLA and LA. Importantly, the downregulation of AKT and mTOR expression in chondrocytes reversed the autophagy‐mediated inhibition of ciliogenesis and the ROS‐accumulation‐mediated inflammation induced by OLA and LA. Taken together, our results suggest that OLA and LA induce calcium‐overload‐driven ROS accumulation via autophagy‐mediated ciliogenic disorders during OA pathogenesis. These findings demonstrate that targeting autophagy and ciliogenesis in chondrocytes is a protective strategy in the OA pathogenesis induced by OLA and LA.

Abstract Acquired resistance is a major obstacle to the therapeutic efficacy of osimertinib in lung adenocarcinoma (LUAD), but the underlying mechanisms are still not fully understood. Cancer‐associated fibroblasts (CAFs) are the most abundant stromal cell type in LUAD tumor‐microenvironment (TME) and have emerged as a key player in chemoresistance. However, the function of CAFs in osimertinib resistance is still unclear. Here, we showed that CAFs derived from osimertinib‐resistant LUAD tissues (CAFOR) produced much more colony‐stimulating factor 2 (CSF2) than those isolated from osimertinib‐sensitive tissues. CAFOR‐derived CSF2 activated the Janus kinase 2 (JAK2)/Signal transducer and activator of transcription 3 (STAT3) signaling pathway and upregulated lnc‐CSRNP3 in LUAD cells. Lnc‐CSRNP3 then promoted the expression of nearby gene CSRNP3 by recruiting chromodomain helicase DNA binding protein 9 (CHD9) and inhibited the phosphatase activity of the serine/threonine protein phosphatase 1 catalytic subunit α (PP1α), thereby induced osimertinib resistance by enhancing ribosome biogenesis. Collectively, our study reveals a critical role for CAFs in the development of osimertinib resistance and identifies the CSF2 pathway as an attractive target for monitoring osimertinib efficacy and overcoming osimertinib resistance in LUAD.

Abstract An apparent sexual dimorphism, such as growth rate and immunocompetence, is observed in the Chinese soft‐shelled turtle (Pelodiscus sinensis). The identification of sex‐related markers and candidate genes holds significance for the sex‐controlled breeding of P. sinensis. In this study, through an integration of whole‐genome resequencing and Sanger sequencing, 21 female‐specific single nucleotide polymorphisms (SNPs) were identified. Based on these SNPs, the rapid and cost‐effective molecular methodologies for genetic sex identification in P. sinensis were established. Of note, 19 validated SNPs are located within the zinc and ring finger 3 (ZNRF3) gene, which has been reported to be testis‐determining in mammals. Cloning of the ZNRF3 gene from P. sinensis (PsZNRF3) and analysis of its expression profile in tissues and in response to sex steroid hormone treatment demonstrated exhibiting a female‐biased expression pattern. These findings not only provide molecular markers for sex‐controlled breeding in P. sinensis but also open up a solid basis for revealing the sex‐determination mechanism of this species.

This article provides comprehensive data on degradation performance and microbial dynamics derived from a set of 24 lab-scale batch anaerobic digesters involving various types of inhibitors and the addition of zeolite as a support material. In the first series of 12 digesters, three inhibitors were investigated at the following concentrations: 20 g/L of sodium chloride, 400 mg/L of erythromycin, and 5 mg/L of S-metolachlor. Each inhibitor was tested in triplicate, along with a control condition without inhibition. A parallel series was set up identically, except that 15 g/L of zeolite was introduced into each digester to mitigate the inhibition and promote the degradation process. The provided data comprises information regarding the experimental setup, monitoring measurements that assess the degradation performance (production, composition, and apparent isotopic factor of biogas, pH, dissolved inorganic and organic carbon and volatile fatty acids concentrations), microbial samples information, and 16S rRNA gene sequencing data that decipher changes in microbial structure. This datapaper is associated with research article [1] and presents both the sequencing data and the associated physicochemical data in a structured table format. The sequencing data were generated using the Ion Torrent PGM sequencer and have been deposited in the European Nucleotide Archive (ENA) database at EMBL-EBI under accession number PRJEB65129 (https://www.ebi.ac.uk/ena/browser/view/PRJEB65129), with sample accession numbers ranging from ERS16257742 to ERS16257691 [2]. The data serves as a valuable resource for comparisons with data from other studies on lab-scale batch anaerobic digesters, particularly those utilizing zeolite as a support material or involving inhibition caused by similar types of inhibitors (salts, antibiotics, or pesticides).

PurposeLateral lymph node metastasis (LLNM) is very common in medullary thyroid carcinoma (MTC), but there is still controversy about how to manage cervical lateral lymph nodes, especially for clinically negative MTC. The aim of this study is to develop and validate a nomogram for predicting LLNM risk in MTC.Materials and methodsA total of 234 patients from two hospitals were retrospectively enrolled in this study and divided into LLNM positive group and LLNM negative group based on the pathology. The correlation between LLNM and preoperative clinical and ultrasound variables were evaluated by univariable and multivariable logistic regression analysis. A nomogram was generated to predict the risk of the LLNM of MTC patients, validated by external dataset, and evaluated in terms of discrimination, calibration, and clinical usefulness.ResultsThe training, internal, and external validation datasets included 152, 51, and 31 MTC patients, respectively. According to the multivariable logistic regression analysis, gender (male), relationship to thyroid capsule and serum calcitonin were independently associated with LLNM in the training dataset. The predictive nomogram model developed with the aforementioned variables showed favorable performance in estimating risk of LLNM, with the area under the ROC curve (AUC) of 0.826 in the training dataset, 0.816 in the internal validation dataset, and 0.846 in the external validation dataset.ConclusionWe developed and validated a model named MTC nomogram, utilizing available preoperative variables to predict the probability of LLNM in patients with MTC. This nomogram will be of great value for guiding the clinical diagnosis and treatment process of MTC patients.

BackgroundA high-fat diet (HFD) contributes to various metabolic disorders and obesity, which are major contributors to cardiovascular disease. As an essential regulator for heart homeostasis, cardiac resident macrophages may go awry and contribute to cardiac pathophysiology upon HFD. Thus, to better understand how HFD induced cardiac dysfunction, this study intends to explore the transcriptional and functional changes in cardiac resident macrophages of HFD mice.MethodsC57BL/6J female mice that were 6 weeks old were fed with HFD or normal chow diet (NCD) for 16 weeks. After an evaluation of cardiac functions by echocardiography, mouse hearts were harvested and cardiac resident CCR2- macrophages were sorted, followed by Smart sequencing. Bioinformatics analysis including GO, KEGG, and GSEA analyses were employed to elucidate transcriptional and functional changes.ResultsHyperlipidemia and obesity were observed easily upon HFD. The mouse hearts also displayed more severe fibrosis and diastolic dysfunction in HFD mice. Smart sequencing and functional analysis revealed metabolic dysfunctions, especially lipid-related genes and pathways. Besides this, antigen-presentation-related gene such as Ctsf and inflammation, particularly for NF-κB signaling and complement cascades, underwent drastic changes in cardiac resident macrophages. GO cellular compartment analysis was also performed and showed specific organelle enrichment trends of the involved genes.ConclusionDysregulated metabolism intertwines with inflammation in cardiac resident macrophages upon HFD feeding in mice, and further research on crosstalk among organelles could shed more light on potential mechanisms.

Objectives The objective of this study is to investigate the relationships between fear of cancer recurrence (FCR), social support and resilience, and further determine whether resilience mediates social support and FCR among Chinese patients with gastric cancer undergoing chemotherapy.Design Multicentre cross-sectional survey.Setting Four hospitals in Jiangsu Province, China, with grade-A tertiary hospital settings.Participants 755 patients with gastric cancer on chemotherapy across four hospitals in China were included from March 2021 to September 2022.Outcome measures The Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Connor-Davidson Resilience Scale (CD-RISC) and Social Support Rating Scale (SSRS) were used to test the model’s constructs. Statistical analyses were conducted by using IBM SPSS V.26.0 software. PROCESS V.3.4 macro was used to analyse the mediating role of resilience in the relationship between social support and FCR.Results The mean scores for SSRS, CD-RISC and FoP-Q-SF in patients with gastric cancer receiving chemotherapy were 41.55±7.79, 54.83±18.46 and 30.91±10.11, respectively. 43.3% (n=327) had psychological dysfunction, 56.8% (n=429) had low to medium resilience and 99.1% (n=748) had medium to robust social support. Significant differences exist among three variables, resilience positively correlated with social support, while FCR negatively correlated with resilience and social support (p

Abstract Serological tests for Epstein–Barr virus (EBV) antibodies have been widely conducted for the screening of nasopharyngeal carcinoma (NPC) in endemic areas. Further risk stratification of NPC can be achieved through plasma lipoprotein and metabolic profiles. A total of 297 NPC patients and 149 EBV‐positive participants are enrolled from the NCT03919552 and NCT05682703 cohorts for plasma nuclear magnetic resonance (NMR) metabolomic analysis. Small, dense very low density lipoprotein particles (VLDL‐5) and large, buoyant low density lipoprotein particles (LDL‐1) are found to be closely associated with nasopharyngeal carcinogenesis. Herein, an NMR‐based risk score (NRS), which combines lipoprotein subfractions and metabolic biomarkers relevant to NPC, is developed and well validated within a multicenter cohort. Combining the median cutoff value of the NRS (N50) with that of the serological test for EBV antibodies, the risk stratification model achieves a satisfactory performance in which the area under the curve (AUC) is 0.841 (95% confidence interval: 0.811‐0.871), and the positive predictive value (PPV) reaches 70.08% in the combined cohort. These findings not only suggest that VLDL‐5 and LDL‐1 particles can serve as novel risk factors for NPC but also indicate that the NRS has significant potential in personalized risk prediction for NPC.

This article presents comprehensive data derived from lab-scale batch anaerobic digesters that were subjected to inhibition by various sources of ammonia. To counter this inhibition, zeolite was introduced into selected digesters. The provided dataset offers a detailed depiction of degradation performance dynamics over time, as well as insights into both microbial and metabolic changes during the inhibition. In detail, 10 conditions were tested in triplicate. In a first series of 15 bioreactors ammonia was introduced to achieve a TAN concentration of 8 g/L, utilizing NH3 solution, NH4Cl salt, (NH4)2CO3 salt, or (NH4)2PO4 salt as inhibitors. A control condition without ammonia was also set up. A second series of 15 bioreactors was set up exactly as the first one, with the addition of zeolite at a concentration of 15 g/L. The data provided includes information on operational conditions, degradation performance measurements throughout the entire process (using biogas production and composition, dissolved organic and inorganic carbon, volatile fatty acids, pH, free and total ammonia nitrogen, apparent isotopic fractionation of biogas as indicators), microbial community analysis using 16S rRNA gene sequencing (50 samples analysed), and metabolomic analysis through liquid chromatography-mass spectrometry (LC-MS) (108 samples analysed). Sequencing data were generated by using IonTorrent PGM sequencer. The sequencing data have been deposited with links to project PRJEB52324, in ENA database from EBI (https://www.ebi.ac.uk/ena/browser/view/PRJEB52324). Sample accession numbers go from SAMEA14277573 to SAMEA14277621. The metabolomic data were generated using an LTQ Orbitrap XL mass spectrometer (Thermo Fisher Scientific, MA, US). The metabolomic data have been deposited to the EMBL-EBI MetaboLights database with the identifier MTBLS7859 (https://www.ebi.ac.uk/metabolights/MTBLS7859). This data can be used as a source for comparisons with other studies focusing on the inhibition of anaerobic digestion by ammonia, particularly in the context of exploring microbial or metabolomic dynamics during inhibition. Additionally it provides a multi-omic dataset (metataxonomic and metabolomic) with detailed associated metadata describing anaerobic digesters. The dataset is directly is associated to the research article titled “Inhibition of anaerobic digestion by various ammonia sources resulted in subtle differences in metabolite dynamics.” [1].

The purpose of our work is to analyze the effect of wave breaking on dual-polarized (vertical-vertical (VV) and vertical-horizontal (VH)) synthetic aperture radar (SAR) image in the C-band during tropical cyclones (TCs) based on the machine learning method. In this study, more than 1300 Sentinel-1 (S-1) interferometric-wide (IW) and extra wide (EW) mode SAR images are collocated with wave simulations from the WAVEWATCH-III (WW3) model during 400 TCs. The validation of the significant wave height (SWH) simulated using the WW3 model against Jason-2 altimeter data. The winds for S-1 SAR images are reconstructed using wind retrievals in VV and VH polarization. The non-polarized (NP) contribution σwb caused by wave breaking is assumed to be the result of the SAR-measured normalized radar cross-section (NRCS) σ0 minus the Bragg resonant roughness σbr without the distortion of rain cells during TCs. The σbr is simulated by imputing wave spectra from the WW3 model into the theoretical backscattering model. It is found that the ratio (σwb/σ0) in VV polarization is related to the wind speed, the wind direction relative with the flight orientation, and radar incidence angle. Following this rationale, the Adaptive Boosting (AdaBoost) model was used for the estimation of NP contribution σwb during TCs and are implemented for more than 300 dual-polarized S-1 images to validate the model. It is found that for the comparison between the sum of simulation NRCS and SAR observations, the root mean squared error (RMSE) is 1.95 dB and the coefficient (COR) is 0.86, which is better than a 2.83 dB RMSE and a 0.67 COR by empirical model. It is concluded that the AdaBoost model has a good performance on NP component simulation during TCs.

Titanium (Ti)-based metal-organic frameworks (Ti-MOFs) have attracted intensive research attention due to their low toxicity and high abundance of titanium. However, limited by the high reactivity of titanium species in the reaction system, the construction of Ti-MOFs still faces great challenges. Herein, we successfully introduced Ti into MOF-74 using a one-pot method. Powder X-ray diffraction (PXRD) combined with X-ray photoelectron spectroscopy (XPS) and inductively coupled plasma (ICP) spectroscopy confirmed that the Ti­(IV) ions were uniformly inserted into the MOF-74 structure. Our scanning electron microscopy (SEM)/energy-dispersive spectrometry (EDS) analysis showed that the Ti content was up to 44% with good sample homogeneity. The adsorption selectivity of Ti0.44/Ni0.56-MOF-74 at 1.0 bar and 298 K for C2H2/C2H4 and C2H2/CO2 (50/50, v/v) mixtures was 4.9 and 6.8, respectively, which are higher than that of pristine Ni-MOF-74. The results of our breakthrough simulation experiments revealed that the adsorption and separation performances of Ti0.44/Ni0.56-MOF-74 were greatly improved. This study provided insights for the construction of Ti-based bimetallic MOFs used for the separation of light hydrocarbons.

The accurate retrieval of sea-surface wind field data is crucial for weather forecasting and climate modeling. Despite this, the complexity of sea surface conditions poses significant challenges for satellite-based synthetic aperture radar (SAR) wind retrieval techniques. This study introduces a Bayesian inversion algorithm that incorporates azimuth cutoff wavelength information—a parameter previously underutilized and highly sensitive to varying wind conditions. We aimed to enhance the accuracy of SAR-derived wind estimations to enable more reliable interpretations of marine atmospheric dynamics. The methodology probabilistically combines SAR data with ancillary meteorological information and optimizes the retrieval process through a cost function that leverages the sensitivity of the azimuth cutoff to changes in wind vector fields. The proposed method was comprehensively validated using Sentinel-1 and Gaofen-3 SAR datasets against buoy measurements and wind estimations from scatterometers. The results demonstrated that the proposed method significantly improved the accuracy of wind speed estimations, especially under low-wind conditions and different sea-state conditions, without substantially increasing the computational burden. Although the wind direction retrieval displayed limited enhancement, the improved accuracy in wind speed estimations provides considerable benefits for operational meteorological applications. These findings suggest that the integration of azimuth cutoff information could be a critical step toward obtaining more accurate and reliable wind field retrievals from SAR data, thereby advancing the field of remote sensing and oceanography.

Many applications, such as agriculture and water monitoring, require frequent observations, as well as high spatial resolution. In practice, it is difficult to achieve both high resolution and temporal coverage for satellite sensors. Accordingly, several fusion algorithms for spatial and temporal images have been proposed. Among them, the unmixing-based methods are widely used. However, large-scale changes between categories cannot be detected accurately, as they cannot estimate the variance within individual categories, when the variances in the inhomogeneous areas are large. To solve these problems, a fusion method based on the frequency domain is proposed. It determines the reflectance of the high-resolution (HR) image using the frequency relationship between the HR image and the coarse-resolution one. It is faster and more accurate than the conventional spatial-domain-based fusion methods, as its operations are realized in the frequency domain. Both the large-scale textures and the small-scale textures can be preserved, even in the case of discern sudden or large-scale changes. Finally, experiments over simulated images and real satellite ones, using Landsat thematic mapper image and Sentinel-2 image, are carried out to demonstrate the performance of the proposed approach.

Abstract Background Ticagrelor is a novel receptor antagonist that selectively binds to the P2Y12 receptor, thereby inhibiting adenosine diphosphate (ADP)-mediated platelet aggregation. Compared to clopidogrel, ticagrelor has the advantages of a fast onset, potent effects, and a reversible platelet inhibition function, which make this drug clinically suitable for treating acute coronary syndrome (ACS), especially acute ST-segment elevation myocardial infarction (STEMI). Objective This review was performed to determine the basic characteristics, clinical effects, and adverse reactions of ticagrelor. Methods Relevant trials and reports were obtained from the MEDLINE, Embase, and Cochrane Library databases. Results Ticagrelor is rapidly absorbed by the body after oral administration, exhibits inherent activity without requiring metabolic activation, and binds reversibly to the P2Y12 receptor. Ticagrelor has been recommended in ACS treatment guidelines worldwide due to its advantageous pharmacological properties and significant clinical benefits. Ticagrelor inhibits platelet aggregation, inhibits inflammatory response, enhances adenosine function, and has cardioprotective effects. However, ticagrelor also causes adverse reactions such as bleeding tendency, dyspnea, ventricular pause, gout, kidney damage, and thrombotic thrombocytopenic purpura in clinical treatment. Therefore, it is necessary to pay attention to risk assessments when using ticagrelor. Conclusion Ticagrelor is a promising drug for the effective treatment of ACS. When using ticagrelor, individualized treatment should be provided based on the specific conditions of the patients to avoid serious adverse events.

Abstract Prostate cancer (PC) is one of the most common cancers in men and becoming the second leading cause of cancer fatalities. At present, the lack of effective strategies for prognosis of PC patients is still a problem to be solved. Therefore, it is significant to identify potential gene signatures for PC patients’ prognosis. Here, we summarized 71 different prognostic gene signatures for PC and concluded 3 strategies for signature construction after extensive investigation. In addition, 14 genes frequently appeared in 71 different gene signatures, which enriched in mitotic and cell cycle. This review provides extensive understanding and integrated analysis of current prognostic signatures of PC, which may help researchers to construct gene signatures of PC and guide future clinical treatment.

The propulsive characteristics of self-propelling 3D flexible foil are numerically studied. Two kinds of dynamic boundary techniques, namely the dynamic mesh technique and overlapping mesh technique, are used to realize the self-propulsion of flexible foil. The effects of aspect ratio (AR), characteristic thickness (d), and section shape on propulsive characteristics are numerically studied. Results demonstrate that the moving velocity increases monotonically with the consistent growth of AR, and a linear relationship is found between them. The peak value of propulsive efficiency can be acquired when AR = 1.0. Moreover, the growth of d shall produce a negative effect on moving velocity. It is suggested that the value of d should be smaller than 0.15 for the sake of acquiring high propulsive efficiency. As for the section shape effect, the foil with a rectangular shape presents the worst propulsive property, while the NACA0015 foil exhibits the best one. Furthermore, the typical vortex structures are also exhibited and analyzed. The conclusions acquired in this study are of great significance for designing a bionic underwater vehicle.

Research on helicopter dispatching has received considerable attention, particularly in relation to post-disaster rescue operations. The survival chances of individuals trapped in emergency situations decrease as time passes, making timely helicopter dispatch crucial for successful rescue missions. Therefore, this study investigates a collaborative helicopter rescue routing problem with time window and limited survival time constraints, solving it using an improved iterative greedy (IIG) algorithm. In the proposed algorithm, a heuristic initialization strategy is designed to generate an efficient and feasible initial solution. Then, a feasible-first destruction-construction strategy is applied to enhance the algorithm’s exploration ability. Next, a problem-specific local search strategy is developed to improve the algorithm’s local search effectiveness. In addition, the simulated annealing (SA) method is integrated as an acceptance criterion to avoid the algorithm from getting trapped in local optima. Finally, to evaluate the efficacy of the proposed IIG, 56 instances were generated based on Solomon instances and used for simulation tests. A comparative analysis was conducted against six efficient algorithms from the existing studies. The experimental results demonstrate that the proposed algorithm performs well in solving the post-disaster rescue helicopter routing problem.

Infrared small target detection is a key technology with a wide range of applications, and the complex background and low signal-to-noise ratio characteristics of infrared images can greatly increase the difficulty and error rate of small target detection. In this paper, an uncertainty measurement method based on local component consistency is proposed to suppress the complex background and highlight the detection target. The method analyzes the local signal consistency of the image. It then constructs a confidence assignment function and uses the mutation entropy operator to measure local uncertainty. Then, the target energy information is introduced through an energy-weighting function to further enhance the signal. Finally, the target is extracted using an adaptive threshold segmentation algorithm. The experimental results show that the algorithm can effectively detect small infrared targets in complex backgrounds. And, the algorithm is at the leading edge in terms of performance; the processing frame rate can reach 3051 FPS (frame per second), 96 FPS, and 54 FPS for image data with a resolution of 256 × 256, 1920 × 1080, and 2560 × 1440, respectively.

Procypris mera (Lin, 1933), also known as the Chinese ink carp, currently has a second-class protection status in China. Understanding the structure and characteristics of mitochondrial genes provides essential information for resource conservation and phylogenetic studies of P. mera. Here, we sequenced the mitochondrial genomes of three P. mera (WYL1-3) from three sites and performed phylogenetic analysis. The generated three genomes were 16,587 bp in length, comprising 13 protein-coding genes (PCGs), 22 tRNAs, two rRNAs, and two non-coding regions (control region (CR), D-loop, and light-stranded replication start OL), with a preference for codons ending in A or C. The mitochondrial genomes of WYL2 and WYL3 were identical, differing from that of WYL1 by only five single-nucleotide polymorphisms (SNPs). All mitochondrial PCGs had Ka/Ks ratios of less than one, suggesting purifying selection. Phylogenetic tree analysis based on amino acid sequences suggested that the genus Puntioplites is sister to all other genera of the subfamily Cyprinidae of China; the genus Procypris forms a monophyletic group; and the genera Carassioides, Carassius, and Cyprinus form a monophyletic group. This study contributes to our understanding of the phylogenetic relationships in subfamily Cyprininae in China and lays the foundation for resource conservation and management of P. mera.

Cultivated reserved land resources are pivotal for achieving food security and sustainable agricultural development. However, existing research on these resources often grapples with issues such as the lack of current data and underutilization of available data. This study focuses on Haishu District in Ningbo City of China, an economically developed area, and uses the third national land survey data to identify potential agricultural and construction lands suitable for conversion to cultivation. Through the application of the limiting factor method and the Analytic Hierarchy Process (AHP), the results indicate that the potentials of reserved cultivated land and the reclamation potential of construction land in Haishu District are estimated at 503.07 and 1527.50 ha, respectively. These lands are primarily rated as generally suitable and marginally suitable for agriculture, suggesting a moderate overall quality of reserved cultivated resources. This study emphasizes the practice of surveying reserved cultivated land, to boost effective land management and strategic development.

The flower coloration of Brassica crops possesses significant application and economic value, making it a research hotspot in the field of genetics and breeding. In recent years, great progress has been made in the research on color variation and creation of Brassica crops. However, the underlying molecular mechanisms and evolutional processes of flower colors are poorly understood. In this paper, we present a comprehensive overview of the mechanism of flower color formation in plants, emphasizing the molecular basis and regulation mechanism of flavonoids and carotenoids. By summarizing the recent advances on the genetic mechanism of flower color formation and regulation in Brassica crops, it is clearly found that carotenoids and anthocyanins are major pigments for flower color diversity of Brassica crops. Meantime, we also explore the relationship between the emergence of white flowers and the genetic evolution of Brassica chromosomes, and analyze the innovation and multiple utilization of Brassica crops with colorful flowers. This review aims to provide theoretical support for genetic improvements in flower color, enhancing the economic value and aesthetic appeal of Brassica crops.

Background: Pandy's test is used to assess the globulin level in cerebrospinal fluid (CSF). As a semi-quantitative manual method, the practicality and clinical value of Pandy's test has been challenged. Objective: We tend to summarize the relationship between CSF total protein (CSF-TP) quantification and Pandy's results, providing a formula to estimate Pandy's results merely by CSF-TP value. Methods: This retrospective study involved 1090 cases hospitalized in Huashan Hospital during 1/1/2023 to 20/4/2023. All samples were divided into six group based on their Pandy's results. Their corresponding CSF-TP quantitative results were subsequently analyzed and summarized. Another 364 patients were also gathered for verification. Results: The turbidity of samples won't affect examiners'ocular inspection and interpretation of Pandy's tests in positive groups. The results of Pandy's tests can be deduced based on CSF-TP quantitative results according to following rules: CSF-TP quantitative results 0–614 mg/L for Pandy negative (−), 615–1322 mg/L for extremely weak positive (±), 1323–2953 mg/L for weak positive (1+), 2954–6561 mg/L for medium positive results (2+), 6562–13007 mg/L for strong positive results (3+) and CSF-TP results >13007 for strongest positive (4+). The quantitative range above was experimentally verified as effective and correct by calculating the agreement rate through another 364 samples and the R ratio of each Pandy group was greater than 90 %. Conclusion: There is an excellent correlation between CSF-TP and Pandy's test. Therefore, CSF-TP quantification test through PROT Slides can be used to infer the results of Pandy's test to accelerate the abolish of this traditional manual test.

Abstract Human trophoblast cells are crucial for healthy pregnancy. However, whether the defective homologous recombination (HR) repair of dsDNA break (DSB) in trophoblast cells may induce miscarriage is completely unknown. Moreover, the abundance of BRCA1 (a crucial protein for HR repair), its recruitment to DSB foci, and its epigenetic regulatory mechanisms, are also fully unexplored. In this work, it is identified that a novel lnc‐HZ10, which is highly experssed in villous tissues of recurrent miscarriage (RM) vs their healthy control group, suppresses HR repair of DSB in trophoblast cell. Lnc‐HZ10 and AhR (aryl hydrocarbon receptor) form a positive feedback loop. AhR acts as a transcription factor to promote lnc‐HZ10 transcription. Meanwhile, lnc‐HZ10 also increases AhR levels by suppressing its CUL4B‐mediated ubiquitination degradation. Subsequently, AhR suppresses BRCA1 transcription; and lnc‐HZ10 (mainly 1‐447 nt) interacts with γ‐H2AX; and thus, impairs its interactions with BRCA1. BPDE exposure may trigger this loop to suppress HR repair in trophoblast cells, possibly inducing miscarriage. Knockdown of murine Ahr efficiently recovers HR repair in placental tissues and alleviates miscarriage in a mouse miscarriage model. Therefore, it is suggested that AhR/lnc‐HZ10/BRCA1 axis may be a promising target for alleviation of unexplained miscarriage.

Introduction Ultrasound-guided quadratus lumborum block and erector spinae plane block are widely used for postoperative analgesia in adult patients undergoing abdominal surgeries. This protocol aims to compare the analgesic effects between ultrasound-guided quadratus lumborum block and erector spinae plane block on postoperative pain in abdominal surgeries.Methods and analysis Four databases, including PubMed, EMBASE, Web of Science and the Cochrane Central Register of Controlled Trials (CENTRAL), will be searched. Randomised controlled trials that compared the analgesic effects between ultrasound-guided quadratus lumborum block and erector spinae plane block on postoperative pain in adult patients will be identified. The primary outcomes are time to the first analgesic request and postoperative analgesic consumption over 24 hours. Secondary outcomes will include postoperative pain scores and the incidence of side effects. RevMan V.5.3 software will be used for data processing and statistical analysis. The Grading of Recommendation, Assessment, Development and Evaluation approach will be used to assess the evidence quality of outcomes.Ethics and dissemination Ethical approval is not required for this study. Results of this present study will be submitted to a peer-reviewed journal.PROSPERO registration number CRD42023445802.