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Abstract The sustainable treatment and reuse of waste slurry in slurry shield construction have gained significant attention. This paper explores the application of magnetic flocculation technology for treating slurry. The CFD-DEM coupling method simulates the migration of magnetic flocs during centrifugation. Two evaluation indexes of magnetic content of floc residue (MCFR) and magnetic seed recovery rate (MSRR) are introduced. The study examines how magnetic seed concentration, feed rate, and differential speed affect floc movement, magnetic seed separation, and recovery, proposing directions for optimizing separation technology. Due to computational limitations, the simulation focuses exclusively on the process from floc entry into the decanter centrifuge to its exit at the drum’s end. Results indicate that changes in centrifugal parameters significantly affect floc movement, with feed rate showing the strongest positive correlation with MSRR, followed by differential speed. As magnetic seed concentration increases, both MCFR and MSRR rise. However, when concentration becomes too high, MSRR begins to decrease. Feed rate strongly influences magnetic floc behavior, with MCFR and MSRR showing complementary trends. Through the transformation of the separation equipment, the MSRR can be increased to 93.4%.

Abstract Background Endoscopic surgery provides good cosmetic results while ensuring therapeutic outcomes. This study aimed to evaluate the efficacy, safety, and cosmetic outcome of endoscopic surgery for benign breast tumors. Methods In total, 108 patients were enrolled and divided into endoscopic or open surgery groups based on the patients' voluntary decisions. Surgical information, complications, postoperative pain, and postoperative cosmetic scores were compared. Results The endoscopic surgery group and open surgery group included 46 and 62 patients, respectively. Patients who underwent endoscopic surgery had longer operative times (p

Abstract Background Pumpkin (Cucurbita moschata) is an important vegetable crop that often suffers from low-temperature stress during growth. However, the molecular mechanism involved in its response to chilling stress remains unknown. In this study, we comprehensively investigated the effect of chilling stress in pumpkin seedlings by conducting physiological, transcriptomic, and metabolomic analyses. Results Under chilling stress, there was an overall increase in relative electrical conductivity, along with malondialdehyde, soluble sugar, and soluble protein contents, but decreased superoxide dismutase and peroxidase activities and chlorophyll contents in seedling leaves compared with controls. Overall, 5,780 differentially expressed genes (DEGs) and 178 differentially expressed metabolites (DEMs) were identified under chilling stress. Most DEGs were involved in plant hormone signal transduction and the phenylpropanoid biosynthesis pathway, and ERF, bHLH, WRKY, MYB, and HSF transcription factors were induced. Metabolomic analysis revealed that the contents of salicylic acid (SA), phenylalanine, and tyrosine increased in response to chilling stress. The findings indicated that the SA signaling and phenylpropanoid biosynthesis pathways are key to regulating the responses to chilling stress in pumpkins. Conclusion Overall, our study provides valuable insights into the comprehensive response of C. moschata to chilling stress, enriching the theoretical basis of this mechanism and facilitating the development of molecular breeding strategies for pumpkin tolerance to chilling stress.

Abstract Background Acute mesenteric ischemia (AMI) usually presents with abrupt and severe abdominal pain associated with nausea and vomiting. This case is notable due to the occurrence of AMI secondary to acute systolic heart failure caused by new onset complete heart block. Case Presentation A 65-year-old male presented with sudden onset epigastric pain. ECG showed complete AV block and acute ischemia, and a subsequent CTA revealed complete occlusion of the mid superior mesenteric artery. His emergent left heart catheterization showed non-occlusive coronary artery disease. The patient underwent emergent laparotomy and SMA thrombectomy. Postoperative complications included worsening congestive heart failure and persistent bradycardia, requiring a permanent pacemaker. The patient was discharged to a skilled nursing facility in stable condition. Conclusions This case highlights the diagnostic challenges of AMI in the setting of acute heart failure and new onset AV block mimicking acute cardiac events and emphasizes the importance of a multidisciplinary approach in managing such complex cases.

Abstract The stress disturbances induced by deep tunnel excavation are a key factor leading to the instability and failure of surrounding rock. To investigate the stress evolution in surrounding rock, this study utilizes a physical simulation system for deep caverns to replicate the actual excavation process of tunnels. The study quantitatively analyzes changes in the magnitude and orientation of surrounding rock stresses, and validates the experimental results through numerical analysis. The study revealed that: (1) In elasto-plastic tests, the trajectories of the principal stress axes at the vault and bottom are symmetrical about the XZ plane, whereas in elastic tests, they exhibit symmetry about the origin. (2) The experimental and numerical simulation results of the principal stress axis evolution at four key monitoring points (vault, shoulder, waist, and bottom) are consistent. Using FLAC3D, the regions between these points were further divided, identifying seven distinct regions of surrounding rock, each characterized primarily by one of the four representative patterns, with the shoulder region acting as a transitional zone. (3) Regardless of whether the surrounding rock is in an elastic or elasto-plastic state, the evolution of the principal stress magnitudes and their angles with the coordinate axes remained entirely consistent.

Abstract Objective To report a new case of gastroblastoma and conduct an exhaustive review of the clinical, morphological, immunohistochemical, molecular features, diagnosis, treatment, and prognosis, to enhance understanding of this condition. Methods We retrospectively analyzed the case of a 50-year-old woman diagnosed with gastroblastoma and conducted a review and summary of relevant literature. Results To date, 27 cases have been reported, including the present case. The mean patient age at the time of presentation was 35.0 years (range, 5–74 years), and the disease showed no sex predilection. The most common location was the gastric antrum, and the average lesions size was 5.7 cm (range, 1.3–15 cm). Most patients underwent gastrectomy(n = 23), while several underwent ESD(n = 2) or EFTR(n = 1). Fusion genes were identified, including MALAT1–GLI1(n = 8), EWSR1-CTBP1(n = 1), PTCH1:GLI2(n = 1), and ACTB-GLI1(n = 1)Four patients had metastasis and one of them dead of disease. Immunohistochemical (IHC) analysis revealed that pancytokeratin was always positive in epithelioid components, while vimentin and CD10 were always positive in mesenchymal components. CD56 were often positive in both two components. Conclusion A comprehensive evaluation of clinical and pathological features is crucial for accurate diagnosis. Partial gastrectomy and EFTR could be an appropriate treatment. The risk factors that affect the prognosis need more cases to be clearly defined. We present this exhaustive literature review to increase awareness of gastroblastoma, better characterize the disease, and provide a reference point for gastroblastoma research in the future.

Backgrounds Takotsubo cardiomyopathy (TTC), also known as stress-induced cardiomyopathy, is a condition characterized by transient left ventricular dysfunction without coronary artery obstruction. Methods We utilized label-free quantitative proteomics to analyze protein expression in a murine model of TTC, induced by a high dose of isoproterenol (ISO) injection. Results We found that a single high dose of ISO injection in mice could induce stress-related cardiac dysfunction.The proteomic analysis revealed 81 differentially expressed proteins (DEPs) between the ISO and control groups—39 were upregulated, and 42 were downregulated. Key pathways enriched by Gene Ontology (GO) analysis included collagen fibril organization, cholesterol biosynthesis, and elastic fiber assembly. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment indicated significant changes in unsaturated fatty acid biosynthesis, glutathione metabolism, steroid biosynthesis, and ferroptosis. Key hub proteins identified by the protein-protein interaction (PPI) network included Ntrk2, Fdft1, Serpine1, and Cyp1a1. Gene set enrichment analysis (GSEA) showed upregulation in terpenoid backbone biosynthesis, oxidative phosphorylation, and ferroptosis, with downregulation in pathways such as systemic lupus erythematosus and Rap1 signaling. Conclusions This study employed high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify key proteins associated with energy metabolism, oxidative stress, inflammation, and cell death in TTC. These findings provide new insights into the molecular mechanisms of stress-induced myocardial injury and may offer potential therapeutic targets for mitigating cardiovascular damage under stress conditions.

Background: The incidence and mortality of lung cancer are high, and treatment with epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) is the preferred first-line treatment for patients suffering from non-small cell lung cancer (NSCLC) with EGFR mutations. However, EGFR-TKI resistance leads to treatment failure. Yifei-Sanjie pill (YFSJ) is a novel type of Chinese patent medicine for lung cancer. The development of YFSJ has progressed for more than 30 years; however, little is known about the molecular mechanisms associated with the inhibition of drug resistance. Methods: In this study, flow cytometry and transcriptome sequencing were used in vitro to explore the anticancer effect of Yifei-Sanjie pill (YFSJ) on EGFR-TKI-resistant cell lines and to identify potential molecular mechanisms associated with the inhibition of drug resistance. Results: We found that in vitro, YFSJ and YFSJ combined with gefitinib significantly reduced the viability of H1975 and H1650 cells, which is dose-dependent at 24 and 48 h. PI3K, Akt and mTOR were downregulated, while after 24 and 48 h of treatment with YFSJ alone and in combination with gefitinib, LC3A and LC3B were up-regulated in both cell lines. Conclusion: YFSJ reduced the viability of EGFR-TKI-resistant cell lines, reducing resistance to gefitinib. This might be caused by a decrease in the PI3K/Akt/mTOR pathway and an increase in autophagy.

Objective To explore the relationship between the serum uric acid to creatinine (UA/Cr) ratio and the prevalence of hypertension.Methods In this cross-sectional study, we included 8571 individuals from the China Health and Nutrition Survey. Logistic regression analysis and restricted cubic spline (RCS) were used to analyze the relationship between the UA/Cr ratio and hypertension.Results Compared with individuals without hypertension, individuals with hypertension had higher UA/Cr ratios. Multivariate logistic regression analysis showed that a higher UA/Cr ratio was closely related to a higher risk of hypertension (as a continuous variable, OR: 1.054, 95% CI: 1.014-1.095, p = 0.007; as a categorical variable, Q3 vs. Q1, OR: 1.183, 95% CI: 1.011-1.384, p = 0.035; Q4 vs. Q1, OR: 1.347, 95% CI: 1.146-1.582, p

The pathogenesis of fatty liver is highly intricate. The role of the gut-liver axis in the development of fatty liver has gained increasing recognition in recent years. This study was conducted to explore the role of bile acid signaling and gut barrier in the pathogenesis of fatty liver. A total of 100 “Jing Tint 6” laying hens, 56-week-old, were used and fed basal diets until 60 weeks of age. At the end of the experiment, thirty individuals were selected based on the degree of hepatic steatosis. The hens with minimal hepatic steatosis (< 5 %) were chosen as healthy controls, while those with severe steatosis (> 33 %) in the liver were classified as the fatty liver group. Laying hens with fatty liver and healthy controls showed significant differences in body weight, liver index, abdominal fat ratio, feed conversion ratio (FCR), albumin height, Haugh unit, and biochemical indexes. The results of bile acid metabolomics revealed a clear separation in hepatic bile acid profiles between the fatty liver group and healthy controls, and multiple secondary bile acids were decreased in the fatty liver group, indicating disordered bile acid metabolism. Additionally, the mRNA levels of farnesoid X receptor (FXR) and genes related to bile acid transport were significantly decreased in both the liver and terminal ileum of hens with fatty liver. Moreover, the laying hens with fatty liver exhibited significant decreases in ileal crypt depth, the number of goblet cells, and the mRNA expression of tight junction-related proteins, alongside a significant increase in ileal permeability. Collectively, these findings suggest that disordered bile acids, suppressed FXR-mediated signaling, and impaired intestinal barrier function are potential factors promoting the development of fatty liver. These insights indicate that regulating bile acids and enhancing intestinal barrier function may become new preventive and therapeutic strategies for fatty liver in the near future.

Abstract In van der Waals heterostructures (vdWHs), the manipulation of interlayer stacking/coupling allows for the construction of customizable quantum systems exhibiting exotic physics. An illustrative example is the diverse range of states of matter achieved through varying the proximity coupling between two-dimensional (2D) quantum spin liquid (QSL) and superconductors within the TaS2 family. This study presents a demonstration of the intertwined physics of spontaneous rotational symmetry breaking, hidden magnetism, and Ising superconductivity (SC) in the three-fold rotationally symmetric, non-magnetic natural vdWHs 6R-TaS2. A distinctive phase emerges in 6R-TaS2 below a characteristic temperature (T *) of approximately 30 K, which is characterized by a remarkable set of features, including a giant extrinsic anomalous Hall effect (AHE), Kondo screening, magnetic field-tunable thermal hysteresis, and nematic magneto-resistance. At lower temperatures, a coexistence of nematicity and Kondo screening with Ising superconductivity is observed, providing compelling evidence of hidden magnetism within a superconductor. This research not only sheds light on unexpected emergent physics resulting from the coupling of itinerant electrons and localized/correlated electrons in natural vdWHs but also emphasizes the potential for tailoring exotic quantum states through the manipulation of interlayer interactions.

BackgroundIAH0968 is an afucosylated anti-epidermal growth factor receptor 2 (HER2) monoclonal antibody which improved the activity of antibody-dependent cellular cytotoxicity (ADCC) and superior anti-tumor efficacy.MethodsTo determine the maximum tolerated dose (MTD) with dose-limiting toxicity (DLT), a single institution, phase Ia/Ib study was undertaken, using 3 + 3 design. The primary endpoints were safety, tolerability and preliminary clinical activity. Eighteen patients were evaluable for safety and fifteen patients were suitable for efficacy analysis. Dose escalations were 6 mg/kg (N = 2), 10 mg/kg (N = 7), 15 mg/kg (N = 5), and tolerable up to 20 mg/kg (N = 4).ResultsOnly one DLT was found at dosage 10 mg/kg, and no MTD was reached. The most common Grade 3 treatment-related adverse events (TRAEs) were hypokalemia (5.6%), supraventricular tachycardia (5.6%), interval extension of QTC (5.6%), and infusion reaction (5.6%). Grade 4 TRAE was arrhythmia (5.6%). No serious TRAE or Grade 5 was reported. 22.2% of patients had a TRAE leading to dose adjustment and 16.7% of patients had a TRAE resulting in discontinuation of IAH0968. After a median follow-up of 9.7 months (range, 3.7 - 22.0), the objective response rate (ORR) was 13.3% (2/15), the disease control rate (DCR) was 53.3% (8/15), and median progression-free survival (mPFS) was 4.2 months (95% CI: 1.4 - 7.7), and the median duration of disease control (DDC) was 6.3 months (95% CI: 2.9–not reached), with 4/15 responses ongoing.ConclusionsIn HER2-positive heavily pretreated metastatic patients, IAH0968 demonstrated promising clinical activity with durable responses and tolerable safety profiles.Clinical trial registrationClinicalTrials.gov, identifier NCT04934514.

Background: Rectal cancer (RC) is one of the most common types of cancer worldwide. With the development of artificial intelligence (AI), the application of AI in preoperative evaluation and follow-up treatment of RC based on magnetic resonance imaging (MRI) has been the focus of research in this field. This review was conducted to develop comprehensive insight into the current research progress, hotspots, and future trends in AI based on MRI in RC, which remains to be studied. Methods: Literature related to AI based on MRI and RC, as of November 2023, was obtained from the Web of Science Core Collection database. Visualization and bibliometric analyses of publication quantity and content were conducted to explore temporal trends, spatial distribution, collaborative networks, influential articles, keyword co-occurrence, and research directions. Results: A total of 177 papers (152 original articles and 25 reviews) were identified from 24 countries/regions, 351 institutions, and 81 journals. Since 2019, the number of studies on this topic has rapidly increased. China and the United States have contributed the highest number of publications and institutions, cultivating the most intimate collaborative relationship. The highest number of articles derive from Sun Yat-sen University, while Frontiers in Oncology has published the highest number of relevant articles. Research on MRI-based AI in this field has mainly focused on preoperative diagnosis and prediction of treatment efficacy and prognosis. Conclusions: This study provides an objective and comprehensive overview of the publications on MRI-based AI in RC and identifies the present research landscape, hotspots, and prospective trends in this field, which can provide valuable guidance for scholars worldwide.

Commented article: WHANG, H. Moral thought: evaluation on the moral education and virtue cultivation of traditional Chinese music. Trans/Form/Ação: Unesp journal of philosophy, v. 47, n. 5, e02400167, 2024. Available at: https://revistas.marilia.unesp.br/index.php/transformacao/article/view/14871.

Overweight/obesity among adolescents in Shandong Province, China, has been rising, posing significant public health challenge. Comprehensive investigation is needed to develop effective interventions. Following the Strengthening the Reporting of Observational Studies in Epidemiology guidelines, a stratified random cluster sampling approach was used from September to October 2023 across 17 cities in Shandong Province. The study included 165 middle schools, surveying 99,638 students aged 12 ∼ 15. After applying exclusion criteria, 97,356 students (97.71% effective rate) completed anthropometric measurements and questionnaires. Overweight/obesity were assessed based on national and international standards. Univariable chi-square test and multivariable logistic regression were used to analyze factors influencing overweight/obesity. In 2023, the overweight/obesity rate among 12 ∼ 15-year-olds in Shandong was 19.75%. Significant factors included sex, age, residence, family income, parental weight status and activity, mother’s gestational diabetes history, birth weight, physical activity, sleep, screen time, homework, and diet. Girls, older adolescents, and those with physically active parents or who themselves engaged in over 1.5 hours of daily physical activity had lower odds of being overweight/obese. Adequate sleep and frequent consumption of vegetable and fruit were also protective. Higher odds were associated with urban residence, high family income, overweight/obese parents, maternal gestational diabetes, high birth weight, excessive screen time, extensive homework, and frequent fast food consumption. Overweight/obesity in Shandong adolescents is influenced by multiple determinants. Holistic interventions addressing genetic, behavioral, and environmental factors are essential for promoting healthier lifestyles and reducing the prevalence in this demographic.

Objective: To observe the effects of Danggui Shaoyao powder (DSP) on hepatic lipid metabolism and further explore its mechanism of action by peroxisome proliferator-activated receptor (PPARγ)-liver X receptor (LXRα)-adenosine triphosphate (ATP)-binding cassette transporter A1 (ABCA1) pathway regulation. Methods: Eight C57BL/6J male mice were selected as the control group, and 24 ApoE−/− male mice were randomly divided into the atherosclerosis model (AS) group, atorvastatin calcium (AC) group, and DSP group (n = 8 each group). To establish an AS model, ApoE−/− mice were fed a high-fat diet for 16 weeks. Pathologic changes in the aortic vasculature and liver were identified using Oil Red O staining. Triglyceride (TG), cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) levels were determined in the livers using a single-reagent GPO-PAP method. Fluorescence quantitative polymerase chain reaction and western blot were used to observe and evaluate the mRNA and protein expression of the PPARγ-LXRα-ABCA1 intermediates in the liver. Results: After 16 weeks of a high-fat diet, ApoE−/− mice showed more Oil Red O staining in the aorta and liver compared to the CONT group. Compared to the AS group, the DSP and AC treatment reduced aortic plaque and hepatic lipid deposition to varying degrees. Furthermore, DSP significantly reduced the hepatic lipid area in ApoE−/− mice (P

Abstract Background Inflammatory bowel disease (IBD), comprising Crohn's disease (CD) and ulcerative colitis (UC), is a heterogeneous state of chronic intestinal inflammation. Intestinal innate immunity, including innate immune cells, defends against pathogens and excessive entry of gut microbiota, while preserving immune tolerance to resident intestinal microbiota, and may be characterized by its capacity to produce a rapid and nonspecific reaction. The association between microbiota dysbiosis and the pathogenesis of IBD is complex and dynamic. When the intestinal ecosystem is in dysbiosis, the reduced abundance and diversity of intestinal gut microbiota make the host more vulnerable to the attack of exogenous and endogenous pathogenic gut microbiota. The aim of our study was to comprehensively assess the relationship between microbial populations within UC, the signaling pathways of pathogenic gut microbe therein and the inflammatory response, as well as to understand the effects of using PE&AFWE (poppy extract [Papaver nudicaule L.] and Artemisia frigida Willd. extract) on UC modulation. Methods A UC mouse model was established by inducing SPF‐grade C57BL/6 mice using dextrose sodium sulfate (DSS). Based on metagenomic sequencing to characterize the gut microbiome, the relationship between gut microbiota dysbiosis and gut microbiota was further studied using random forest and Bayesian network analysis methods, as well as histopathological analysis. Results (1) We found that the 5 gut microbiota with the highest relative abundance of inflammatory bowel disease UC model gut microbiota were consistent with the top 5 ranked natural bacteria. There were three types of abundance changes in the model groups: increases (Chlamydiae/Proteobacteria and Deferribacteres), decreases (Firmicutes), and no significant changes (Bacteroidetes). The UC model group was significantly different from the control group, with 1308 differentially expressed species with abundance changes greater than or equal to 2‐fold. (2) The proportion of the fecal flora in the UC group decreased by 37.5% in the Firmicutes and increased by 14.29% in the proportion of Proteobacteria compared to the control group before treatment. (3) The significantly enriched and increased signaling pathways screened were the ‘arachidonic acid metabolic pathway’ and the ‘phagosomal pathway’, which both showed a decreasing trend after drug administration. (4) Based on the causal relationship between different OTUs and the UC model/PE&AFWE administration, screening for directly relevant OTU networks, the UC group was found to directly affect OTU69, followed by a cascade of effects on OTU12, OTU121, OTU93, and OTU7, which may be the pathway of action that initiated the pathological changes in normal mice. (5) We identified a causal relationship between common differentially expressed OTUs and PE&AFWE and UC in the pre‐ and post‐PE&AFWE‐treated groups. Thereby, we learned that PE&AFWE can directly affect OTU90, after which it inhibits UC, inhibiting the activity of arachidonic acid metabolic pathway by affecting OTU118, which in turn inhibits the colonization of gut microbiota by OTU93 and OTU7. (6) Histopathological observation and scoring (HS) of the colon showed that there was a significant difference between the model group and the control group (p

Adopting the classical theory of hydrocodes, the constitutive relations of concretes are separated into an equation of state (EoS) which describes the volumetric behavior of concrete material and a strength model which depicts the shear properties of concrete. The experiments on the EoS of concrete is always challenging due to the technical difficulties and equipment limitations, especially for the specimen size effect on the EoS. Although some researchers investigate the shock properties of concretes by fly-plate impact tests, the specimens used in their tests are usually in one size. In this paper, the fly-plate impact tests on concrete specimens with different sizes are performed to investigate the size effect on the shock properties of concrete materials. The mechanical background of the size effect on the shock properties are revealed, which is related to the lateral rarefaction effect and the deviatoric stress produced in the specimen. According to the tests results, the modified EoS considering the size effect on the shock properties of concrete are proposed, which the bulk modulus of concrete is unpredicted by up to 20% if size effects are not accounted for.

Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. Traditional machine learning techniques rely heavily on feature extraction, where weak feature extraction can lead to suboptimal features and poor classification performance. In contrast, ML-based methods, particularly deep learning approaches like convolutional neural networks (CNNs), automatically extract relevant features from raw data, improving the accuracy and adaptability of the damage identification process. This study developed a time–frequency-based data-driven approach aiming to improve the effectiveness of traditional data-driven structural damage identification approaches for large complex structures. Firstly, the structural acceleration signals in the time domain were converted into two-dimensional images via the Gram angle difference field (GADF). Subsequently, the characteristic feature in the image data was studied by convolutional neural networks (CNNs) to predict the structural damage conditions. An experimental study on a scale model of a cable-stayed bridge was conducted to identify the damage of stay cables under the moving vehicle load on the main girders. The CNN was employed to extract the characteristic features from the time-varying monitoring data of vehicle–bridge interactions. The CNN parameters were optimized to conduct the structural damage classification task. The performance of the proposed method was evaluated by comparing it with various traditional pre-trained networks. The effect of environmental noise on the prediction accuracy was also investigated. The numerical results show that the ResNet model has the best performance in terms of damage identification accuracy and convergence speed, achieving higher accuracy and faster convergence compared to the other four traditional networks. The method can accurately identify damage on bridges using insufficient sensors on the bridge deck, which has valuable potential for application to real-world bridges with monitoring data. As the Signal-to-Noise Ratio (SNR) decreases from 20 dB to 2.5 dB, the prediction accuracy of ResNet decreases from 86.63% to 62.5%, which demonstrates the robustness and reliability in identifying structural damage.

BackgroundThis study investigated the association between vasoactive medication exposure and mortality risk in patients with sepsis using the norepinephrine equivalent (NEE) score and vasoactive-inotropic score (VIS).MethodsThis retrospective cohort study included adult patients with sepsis requiring vasoactive agents. The data were extracted from the Medical Information Mart for Intensive Care IV database. The primary outcome was 28-day mortality. Multivariate Cox regression was used to elucidate the relationship between vasoactive medication exposure and 28-day mortality, as quantified by the VIS and NEE score. Hazard ratios with 95% confidence intervals (CI) for 28-day mortality were generated, and forest plots were constructed to present the results of univariate and multivariate analyses. The Kaplan–Meier method was used to analyze the cumulative incidence of 28-day mortality. A nomogram was constructed to predict the prognosis of patients with sepsis.ResultsThe present study encompassed 9,032 patients diagnosed with sepsis who received vasoactive therapy, of which 4,229 patients were further analyzed at the second hour after the onset of sepsis. Distinct variations in demographic data were observed between survivors (n = 3,265, 77.21%) and non-survivors (n = 964, 22.79%). Multivariate analysis indicated that several factors, including VIS >15.04 (p = 0.001), NEE >0.10 (p

BackgroundPostmenopausal osteoporosis (PMOP) increases fracture risk in women. Though traditional treatments are slow to act, combining romosozumab with conventional therapy shows promise. Despite its growing use, studies on effectiveness are limited. This study aims to systematically evaluate the combined therapy’s impact on pain relief, disease progression, and adverse reactions in PMOP patients.MethodsDatabases including PubMed, EMBASE, ScienceDirect, and the Cochrane Library were searched from their inception to September 2023 to identify randomized controlled trials (RCTs) evaluating the role of romosozumab in PMOP. Random or fixed effect models were employed for statistical analysis. Two reviewers independently assessed the quality of the included studies and extracted the data. The meta-analysis was conducted using RevMan 5.4 software.ResultsSix RCTs with a total sample size of 17,985 cases were included. The incidence of vertebral fractures was compared and analyzed after 12 and 24 months of treatment. Romosozumab significantly reduced the incidence of vertebral fractures at 24 months (OR = 0.36; 95% CI: 0.35–0.52) but not at 12 months (OR = 0.39; 95% CI: 0.14–1.05). It was also associated with a decreased incidence of nonvertebral fractures (OR = 0.79; 95% CI: 0.66–0.94) and clinical fractures at 24 months (OR = 0.70; 95% CI: 0.59–0.82) compared to standard therapy. Romosozumab demonstrated a significant improvement in percentage change in bone mineral density (BMD) [mean difference (MD) = 10.38; 95% CI: 4.62–16.14] and in hip joint BMD (MD = 4.24; 95% CI: 2.92–5.56). There was no notable difference in adverse reactions compared to standard care (p > 0.05). Funnel plots displayed a predominantly symmetrical pattern, suggesting no evidence of publication bias in the selected literature.ConclusionCombining romosozumab with conventional therapy effectively treats PMOP, significantly reducing vertebral, non-vertebral, and clinical fractures while increasing BMD in the hip, femoral neck, and lumbar spine. However, further high-quality studies are needed for validation.

IntroductionWith the rising demand for medical services and the associated burden, work-related stress and mental health issue have garnered increased attention among healthcare workers. Anxiety, cognitive impairment, and their comorbidities severely impact the physical and mental health as well as the work status of healthcare workers. The network analysis method was used to identify the anxiety and cognitive impairment among mental healthcare workers using the Generalized Anxiety Disorder Scale (GAD-7) and the Perceived Deficit Questionnaire for Depression (PDQ-D). We sought to identify the core symptoms associated with the comorbidity of anxiety and cognitive impairment in mental healthcare workers.MethodsThe study was conducted by Shandong Daizhuang Hospital and Qingdao Mental Health Center in China from September 13, 2022, to October 25, 2022, involving a total of 680 healthcare workers as participants. GAD-7 and PDQ-D were utilized to assess anxiety and cognitive impairment, respectively. Regularized partial correlation network analysis was employed to examing the expected influence and predictability of each item within the network. Statistical analysis and visualization of the network were performed using R software.ResultsThe mean total score for anxiety was 3.25, while the mean total score for cognitive symptoms was 15.89. PDQ17 “Remembering numbers”, PDQ12 “Trouble get started” and PDQ20 “Trouble make decisions” emerged as central symptoms in the anxiety-cognition network. GAD6 “Irritable”, GAD5 “Restlessness” and GAD1 “Nervousness or anxiety” were identified as the most critical bridge symptoms connecting anxiety and cognition. Gender was found to be unrelated to the global strength of the network, edge weight distribution, or individual edge weights.ConclusionUtilizing central and bridge symptoms (i.e., Remembering numbers, Trouble get started, Trouble make decisions, Irritable, Restlessness and Nervousness or anxiety) as primary intervention points may aid in mitigating the serious health consequences of anxiety, cognitive impairment, and comorbidities anxiety and cognitive impairment for mental healthcare workers.

IntroductionElectrical stimulation of the brain has shown promising prospects in treating various brain diseases. Although biphasic pulse stimulation remains the predominant clinical approach, there has been increasing interest in exploring alternative stimulation waveforms, such as sinusoidal stimulation, to improve the effectiveness of brain stimulation and to expand its application to a wider range of brain disorders. Despite this growing attention, the effects of sinusoidal stimulation on neurons, especially on their nonlinear firing characteristics, remains unclear.MethodsTo address the question, 50 Hz sinusoidal stimulation was applied on Schaffer collaterals of the rat hippocampal CA1 region in vivo. Single unit activity of both pyramidal cells and interneurons in the downstream CA1 region was recorded and analyzed. Two fractal indexes, namely the Fano factor and Hurst exponent, were used to evaluate changes in the long-range correlations, a manifestation of nonlinear dynamics, in spike sequences of neuronal firing.ResultsThe results demonstrate that sinusoidal electrical stimulation increased the firing rates of both pyramidal cells and interneurons, as well as altered their firing to stimulation-related patterns. Importantly, the sinusoidal stimulation increased, rather than decreased the scaling exponents of both Fano factor and Hurst exponent, indicating an increase in the long-range correlations of both pyramidal cells and interneurons.DiscussionThe results firstly reported that periodic sinusoidal stimulation without long-range correlations can increase the long-range correlations of neurons in the downstream post-synaptic area. These results provide new nonlinear mechanisms of brain sinusoidal stimulation and facilitate the development of new stimulation modes.

Purpose: Management of obstructive colorectal cancer (OCRC) can be achieved through either emergent resection of the primary tumor (single operation), or the creation of temporary decompression stoma or self-expandable metallic stents (SEMS) insertion followed by tumor resection (staged procedure). The aim of the study was to compare the short-term outcomes of single and staged surgery in acute non-metastatic elderly OCRC patients. Methods: Twenty-two elderly patients (aged over 75) scheduled to receive either single surgery (n ​= ​14) or staged surgery (n ​= ​8) for the management of acute OCRC were enrolled from 2012 to 2017. The stoma rate, postoperative complications were compared. Results: The stoma rate was 42.9% in single surgery group and 25% in SEMS group. No difference was found in the rate of total complications (50% vs 25%, P ​= ​0.25). In the single surgery group, four patients (28.6%) experienced SSIs, and pneumonia occurred in three patients (21.4%), whereas none of the patient in staged surgery had infection related complication. Overall, the rate of infection related complication in single surgery group (50%) was significantly higher than that in staged surgery group (P ​= ​0.015). Conclusions: Either single or stage surgery is feasible for acute elderly OCRC patients. However, single surgery is associated with significant increase in infection related complication.

Abstract Epidemiological investigations indicate that parental drug abuse experiences significantly influenced the addiction vulnerability of offspring. Studies using animal models have shown that paternal cocaine use and highly motivated drug-seeking behavior are important determinants of offspring addiction susceptibility. However, the key molecules contributing to offspring addiction susceptibility are currently unclear. The motivation for cocaine-seeking behavior in offspring of male rats was compared between those whose fathers self-administered cocaine (SA) and those who were yoked with them and received non-contingent cocaine administrations (Yoke). We found that paternal experience with cocaine-seeking behavior, but not direct cocaine exposure, could lead to increased lever-pressing behavior in male F1 offspring. This effect was observed without significant changes to the dose-response relationship. The transcriptomes of ventral tegmental area (VTA) in offspring were analyzed under both naive state and after self-administration training. Specific transcriptomic changes in response to paternal cocaine-seeking experiences were found, which mainly affected biological processes such as synaptic connections and receptor signaling pathways. Through joint analysis of these candidate genes and parental drug-seeking motivation scores, we found that gamma-aminobutyric acid receptor subunit gamma-3 (Gabrg3) was in the hub position of the drug-seeking motivation-related module network and highly correlated with parental drug-seeking motivation scores. The downregulation of Gabrg3 expression, caused by paternal motivational cocaine-seeking, mainly occurred in GABAergic neurons in the VTA. Furthermore, down-regulating GABAergic Gabrg3 in VTA resulted in an increase in cocaine-seeking behavior in the Yoke F1 group. This down-regulation also reduced transcriptome differences between the Yoke and SA groups, affecting processes related to synaptic formation and neurotransmitter transmission. Taken together, we propose that paternal cocaine-seeking behavior, rather than direct drug exposure, significantly influences offspring addiction susceptibility through the downregulation of Gabrg3 in GABAergic neurons of the VTA, highlighting the importance of understanding specific molecular pathways in the intergenerational inheritance of addiction vulnerability.

Abstract It has been previously established that paternal development of a strong incentive motivation for cocaine can predispose offspring to develop high cocaine-seeking behavior, as opposed to sole exposure to the drug that results in drug resistance in offspring. However, the adaptive changes of the reward circuitry have not been fully elucidated. To infer the key nuclei and possible hub genes that determine susceptibility to addiction in offspring, rats were randomly assigned to three groups, cocaine self-administration (CSA), yoked administration (Yoke), and saline self-administration (SSA), and used to generate F1. We conducted a comprehensive transcriptomic analysis of the male F1 offspring across seven relevant brain regions, both under drug-naïve conditions and after cocaine self-administration. Pairwise differentially expressed gene analysis revealed that the orbitofrontal cortex (OFC) exhibited more pronounced transcriptomic changes in response to cocaine exposure, while the dorsal hippocampus (dHip), dorsal striatum (dStr), and ventral tegmental area (VTA) exhibited changes that were more closely associated with the paternal voluntary cocaine-seeking behavior. Consistently, these nuclei showed decreased dopamine levels, elevated neuronal activation, and elevated between-nuclei correlations, indicating dopamine-centered rewiring of the midbrain circuit in the CSA offspring. To determine if possible regulatory cascades exist that drive the expression changes, we constructed co-expression networks induced by paternal drug addiction and identified three key clusters, primarily driven by transcriptional factors such as MYT1L, POU3F4, and NEUROD6, leading to changes of genes regulating axonogenesis, synapse organization, and membrane potential, respectively. Collectively, our data highlight vulnerable neurocircuitry and novel regulatory candidates with therapeutic potential for disrupting the transgenerational inheritance of vulnerability to cocaine addiction.

Abstract Autonomic dysfunction is a common complication of type 2 diabetes mellitus (T2DM). However, the character of dysfunction varies in different reports. Differences in measurement methodology and complications might have influenced the inconsistent results. We sought to evaluate comprehensively the relationship between abnormal glucose metabolism and autonomic function at rest and the response to exercise in healthy individuals and T2DM patients. We hypothesized that both sympathetic and parasympathetic indices would decrease with the progression of abnormal glucose metabolism in individuals with few complications related to high sympathetic tone. Twenty healthy individuals and 11 T2DM patients without clinically evident cardiovascular disease other than controlled hypertension were examined. Resting muscle sympathetic nerve activity (MSNA), heart rate variability, spontaneous cardiovagal baroreflex sensitivity (CBRS), sympathetic baroreflex sensitivity and the MSNA response to handgrip exercise were measured. Resting MSNA was lower in patients with T2DM than in healthy control subjects (P = 0.011). Resting MSNA was negatively correlated with haemoglobin A1c in all subjects (R = −0.45, P = 0.024). The parasympathetic components of heart rate variability and CBRS were negatively correlated with glycaemic/insulin indices in all subjects and even in the control group only (all, P

During long-term operation, oil and gas pipelines are often subjected to corrosion caused by complex environmental factors, which can lead to serious safety incidents. Therefore, accurately assessing the extent of corrosion damage and predicting the remaining life of pipelines has become a critical issue in the safety management of oil and gas pipelines. This paper aims to propose a high-precision corrosion rate prediction model and, based on this model, provide an accurate evaluation of the pipeline’s remaining life to enhance the operational safety and reliability of oil and gas pipelines. First, the MFO-LSSVM model is employed to precisely predict the corrosion rate of oil and gas pipelines. This model combines the Moth-Flame Optimization (MFO) algorithm and Least Squares Support Vector Machine (LSSVM), which significantly improves the prediction accuracy under complex environmental conditions. Building on this, a combination of Long Short-Term Memory (LSTM) and Deep Neural Networks (DNN) is used to predict the remaining life of the pipelines, capturing the time-dependent and nonlinear characteristics of the corrosion rate. Experimental results demonstrate that the MFO-LSSVM model achieves outstanding accuracy in corrosion rate prediction, with a root mean square error (RMSE) of 0.0023 and a mean absolute error (MAE) of 0.17%. For the remaining life prediction, the LSTM-DNN model shows a mean square error (MSE) of 0.0004 and a coefficient of determination (R2) of 0.9999, significantly outperforming other individual models and closely aligning with the actual values. This multi-stage prediction framework effectively enhances the model’s robustness and accuracy in complex environments. The innovation of this study lies in the development of a multi-stage prediction framework combining the MFO-LSSVM and LSTM-DNN models. The MFO-LSSVM model provides highly accurate corrosion rate predictions, while the LSTM-DNN model captures the time-evolution and nonlinear effects, leading to improved precision in corrosion damage assessment and remaining life prediction. This approach effectively overcomes the limitations of traditional models in complex environments and offers both theoretical support and practical value for the safety management of oil and gas pipelines.

To reduce traffic congestion, it is particularly important to use advanced technology to predict urban traffic flow. Therefore, a dynamic traffic pattern prediction model is proposed, which includes convolutional neural network, long and short term memory network and attention mechanism. The validity of the prediction model is verified by the loss function and the average absolute percentage error. In addition, the study also constructs a model for user travel pattern and parking point recognition based on deep learning and mobile signaling data. The performance of the recognition model is verified by the accuracy and other indicators. The research outcomes demonstrated that the max average absolute percentage error of the dynamic traffic mode prediction model was 7.8%, and the mini value was 2.9%. The average accuracy of the user travel pattern recognition model was 83.34%, and that of the parking point recognition model was 88.56%.The dynamic traffic model recognition and prediction model designed by the research institute has better results, and has practical guiding significance in smart city traffic management.

Multiple modal data fusion can provide valuable and diverse information for remote sensing image segmentation. However, the existing fusion methods often lead to feature loss during the fusion of various modal data, and the complementarity among multimodal features is insufficient. To address these problems, we propose a multimodal gated segmentation network for remote sensing images based on the frequency decomposition. Complementary information from multimodal features is extracted by establishing a long-distance correlation between the low-frequency components of different modal data. In addition, high-frequency detailed features of different modal data are preserved by residual connection. The adaptive gated fusion method is then used to control the information flow between the complementary information and each modality feature map, enabling adaptive fusion between multimodal features. These operations can effectively improve the adaptability of the proposed method in various scenarios and data changes. Extensive experiments demonstrate that the proposed method has good effectiveness, robustness, and generalization and achieved state-of-the-art performance in several remote sensing image semantic segmentation tasks.

The shrub/dwarf tree Haloxylon ammodendron is a prevalent woody plant used to combat desertification in the arid and semi-arid regions of northwestern China. Despite its drought resistance, artificial stands of this species experience significant degradation approximately ten years post-afforestation. Stumping, which involves cutting a portion of the above-ground part of shrubs/trees, is a common practice aimed at reducing water consumption and enhancing the growth of these stands. However, the impact of stumping on the sap flow of H. ammodendron remain inadequately understood, posing challenges to the sustainable management of these artificial stands. In this study, we monitored the sap flow of H. ammodendron subjected to various stumping treatments in the Ulan Buh Desert using the PS-TDP8 tree sap flow monitoring system. Concurrently, we measured several meteorological factors with an automatic weather station. We examined the changes in sap flow velocity following stumping and its response to meteorological factors to elucidate water use during growth. Our findings indicate that both the change in sap flow velocity and characteristics were closely associated with the degree of stumping. The initiation time of sap flow for H. ammodendron under different stumping treatments was earlier than that of the control group. The daily mean value and daily accumulation of sap flow followed the order: 50% stumping > control (no stumping) > 75% stumping > 100% stumping. Sap flow velocity and daily sap flow accumulation increased at 50% stumping but decreased at 75% and 100% stumping. Stumping altered the relationships between sap flow velocity and meteorological factors, with the correlation coefficient between these variables decreasing as the degree of stumping increased. The sap flow following stumping was primarily influenced by both the degree of stumping and meteorological factors. These results may contribute to a better understanding of water transport during the growth of H. ammodendron following stumping.

Background: Identifying white matter (WM) microstructural similarities and differences between major depressive disorder (MDD) and bipolar disorder (BD) is an important way to understand the potential neuropathological mechanism in emotional disorders. Numerous diffusion tensor imaging (DTI) studies over recent decades have confirmed the presence of WM anomalies in these two affective disorders, but the results were inconsistent. This study aimed to determine the statistical consistency of DTI findings for BD and MDD by using the coordinate-based meta-analysis (CBMA) approach. Methods: We performed a systematic search of tract-based spatial statistics (TBSS) studies comparing MDD or BD with healthy controls (HC) as of June 30, 2024. The seed-based d-mapping (SDM) was applied to investigate fractional anisotropy (FA) changes. Meta-regression was then used to analyze the potential correlations between demographics and neuroimaging alterations. Results: Regional FA reductions in the body of the corpus callosum (CC) were identified in both of these two diseases. Besides, MDD patients also exhibited decreased FA in the genu and splenium of the CC, as well as the left anterior thalamic projections (ATP), while BD patients showed FA reduction in the left median network, and cingulum in addition to the CC. Conclusions: The results highlighted that altered integrity in the body of CC served as the shared basis of MDD and BD, and distinct microstructural WM abnormalities also existed, which might induce the various clinical manifestations of these two affective disorders. The study was registered on PROSPERO (http://www.crd.york.ac.uk/PROSPERO), registration number: CRD42022301929.

Due to its inherent advantages, shield tunnelling has become the primary construction method for urban tunnels, such as high-speed railway and metro tunnels. However, there are numerous technical challenges to shield tunnelling in complex geological conditions. Under the disturbance induced by shield tunnelling, sandy pebble soil is highly susceptible to ground loss and disturbance, which may subsequently lead to the risk of surface collapse. In this paper, large-diameter slurry shield tunnelling in sandy pebble soil is the engineering background. A combination of field monitoring and numerical simulation is employed to analyze tunnelling parameters, surface settlement, and deep soil horizontal displacement. The patterns of ground disturbance induced by shield tunnelling in sandy pebble soil are explored. The findings reveal that slurry pressure, shield thrust, and cutterhead torque exhibit a strong correlation during shield tunnelling. In silty clay sections, surface settlement values fluctuate significantly, while in sandy pebble soil, the settlement remains relatively stable. The longitudinal horizontal displacement of deep soil is significantly greater than the transverse horizontal displacement. In order to improve the surface settlement troughs obtained by numerical simulation, a cross-anisotropic constitutive model is used to account for the anisotropy of the soil. A sensitivity analysis of the cross-anisotropy parameter α was performed, revealing that as α increases, the maximum vertical displacement of the ground surface gradually decreases, but the rate of decrease slows down and tends to level off. Conversely, as the cross-anisotropy parameter α decreases, the width of the settlement trough narrows, improving the settlement trough profile.

Abstract Lung adenocarcinoma (LUAD) remains one of the most lethal malignancies worldwide, with a high mortality rate and unfavorable prognosis. Endoplasmic reticulum (ER) stress is a key regulator of tumour growth, metastasis, and the response to chemotherapy, targeted therapies and immune response. It acts via responding to misfolded proteins and triggering abnormal activation of ER stress sensors and downstream signalling pathways. Notably, the expression patterns of ER-stress-related-genes (ERSRGs) are indicative of survival outcomes, especially in the context of immune infiltration. Through consensus clustering of prognosis-associated ERSRGs, we delineated two distinct LUAD subtypes: Cluster 1 and Cluster 2. Comprehensive analyses revealed significant disparities between these subtypes in terms of prognosis, immune cell infiltration, and tumor progression. Leveraging the robustness of LASSO regression and Multivariate stepwise regression, we constructed and validated an ER Stress-associated risk signature for LUAD. This signature underwent assessments for its prognostic value, correlation with clinical attributes, and interaction within the tumour immune microenvironment. By integrating this signature with multivariate cox analysis of distinct pathological stages, we devised an enhanced nomogram, validated through various statistical metrics, with an area under the curve for overall survival at 1, 3, and 5 years post-diagnosis being 0.79, 0.80, and 0.81, respectively. In conclusion, our findings introduce a composite signature of 11 pivotal ERSRGs, holding promise as a potent prognostic tool for LUAD, and offering insights for immunotherapeutic and targeted intervention strategies.

Objective: To investigate the efficacy and mechanism of Mahuang Lianqiao Chixiaodou decoction (MLCD) in intervening in the “internal and external crosstalk” between skin barrier dysfunction and immune inflammation in an atopic dermatitis-like (AD-like) mouse model via the NOD-like receptor protein 3 (NLRP3) pyroptosis pathway. Methods: AD-like model mice were induced with 2,4-dinitrofluorobenzene and treated with MLCD or mometasone furoate gel (MF, positive control) for 7 days. Pathological changes in skin tissue were examined using Masson or methamphetamine blue staining. A smart skin analyzer, flow cytometry, fluorescence quantitative polymerase chain reaction, and western blotting were used to observe and evaluate skin barrier dysfunction, immune inflammatory responses, and skin cell pyroptosis in AD-like mice. Results: MLCD and MF improved skin damage and reduced pathological tissue damage and mast cell infiltration in AD-like mice to varying degrees. MLCD significantly reduced skin pigmentation and inflammatory status (P = .005 and P = .038, respectively), increased the percentage of splenic CD4+CD3+ T cells (P = .022), decreased the CD8+CD3+ T cell percentage (P = .044), decreased the CD8+CD3+/CD3+ ratio (P = .031) and increased the CD4+CD3+/CD8+CD3+ ratio (P = .027). MLCD also significantly decreased the mRNA expression levels of cell scorch-related factors NLRP3, casp-1, interleukin (IL)-1β, and IL-18 (P = .027, P

Abstract Heart rate (HR) is a crucial physiological signal that can be used to monitor health and fitness. Traditional methods for measuring HR require wearable devices, which can be inconvenient or uncomfortable, especially during sleep and meditation. Noncontact HR detection methods employing microwave radar can be a promising alternative. However, the existing approaches in the literature usually use high-gain antennas and require the sensor to face the user’s chest or back, making them difficult to integrate into a portable device and unsuitable for sleep and meditation tracking applications. This study presents a novel approach for noncontact HR detection using a miniaturized Soli radar chip embedded in a portable device (Google Nest Hub). The chip has a $$6.5 \text{ mm } \times 5 \text{ mm } \times 0.9 \text{ mm }$$ 6.5 mm × 5 mm × 0.9 mm dimension and can be easily integrated into various devices. The proposed approach utilizes advanced signal processing and machine learning techniques to extract HRs from radar signals. The approach is validated on a sleep dataset (62 users, 498 h) and a meditation dataset (114 users, 1131 min). The approach achieves a mean absolute error (MAE) of 1.69 bpm and a mean absolute percentage error (MAPE) of $$2.67\%$$ 2.67 % on the sleep dataset. On the meditation dataset, the approach achieves an MAE of 1.05 bpm and a MAPE of $$1.56\%$$ 1.56 % . The recall rates for the two datasets are $$88.53\%$$ 88.53 % and $$98.16\%$$ 98.16 % , respectively. This study represents the first application of the noncontact HR detection technology to sleep and meditation tracking, offering a promising alternative to wearable devices for HR monitoring during sleep and meditation.

In order to improve the performance of target detection and solve the problem of self-interference and mutual interference between multiple targets and multiple users, a radar communication integration system based on serial time division CC-CDMA was proposed.Firstly, the code division multiplexing mechanism was used to adjust the spread spectrum sequence of different subcodes in the complementary code to the signals on different time slices at the transmitter through the generalized PTM sequence to generate the integrated signal of radar communication.Secondly, the receiving end of the radar processed the data twice, and the point-by-point minimization method was used to fuse the processing results to improve the target detection capability of the radar subsystem.Lastly, at the receiving end of communication, the subcodes corresponding to the spread spectrum sequence at the transmitting end were used to de-amplify the received signals, and the bit error ratio was further reduced by interleaved coding and Hamming coding.Simulation results show that compared with other radar communication integration systems, the proposed system has lower bit error rate, higher Doppler resolution and better side lobe suppression performance.

Background: Colorectal cancer (CRC) is one of the most common tumors worldwide, with rising numbers of elderly patients affected. Nutritional status significantly influences tumor prognosis. We aimed to investigate the association of subcutaneous and visceral adipose tissue and skeletal muscle mass with the prognosis of the oldest-old patients with CRC, after surgery. Patients: We retrospectively reviewed 210 patients >75 years who underwent surgical treatment at the Department of Gastrointestinal Surgery, Beijing Hospital, between December 2010 and December 2020. Materials: Subcutaneous adipose, visceral adipose, and skeletal muscle areas were measured using BMI_CT. The cut-off values of the CT measurements were then confirmed using receiver operating characteristic (ROC) curve analysis. Results: Subcutaneous adipose tissue index (SATI), visceral adipose tissue index (VATI), and total adipose tissue index (TATI) were significantly associated with sex and BMI. Notably, the oldest-old CRC patients with high SATI, VATI, and TATI scores exhibited significantly higher rates of wound complications and reduced postoperative hospitalization durations. Intriguingly, patients with high VATI and TATI demonstrated significantly better 5-year Overall survival (OS), Cancer-specific survival (CSS), and Disease-free survival (DFS) than patients in the other groups. Similar results were observed in patients with a high visceral-to-subcutaneous fat ratio (VSR) and skeletal muscle index (SMI) scores. Conclusion: Significantly improving skeletal muscle content while concurrently managing the total adipose content, especially visceral adipose tissue, may aid in extending the survival time of oldest-old patients with CRC after surgery.

Background: Low-dose ionizing radiation-induced protection and damage are of great significance among radiation workers. We aimed to study the role of glutathione S-transferase Pi (GSTP1) in low-dose ionizing radiation damage and clarify the impact of ionizing radiation on the biological activities of cells. Results: In this study, we collected peripheral blood samples from healthy adults and workers engaged in radiation and radiotherapy and detected the expression of GSTP1 by qPCR. We utilized γ-rays emitted from uranium tailings as a radiation source, with a dose rate of 14 μGy/h. GM12878 cells subjected to this radiation for 7, 14, 21, and 28 days received total doses of 2.4, 4.7, 7.1, and 9.4 mGy, respectively. Subsequent analyses, including flow cytometry, MTS, and other assays, were performed to assess the ionizing radiation’s effects on cellular biological functions. In peripheral blood samples collected from healthy adults and radiologic technologist working in a hospital, we observed a decreased expression of GSTP1 mRNA in radiation personnel compared to the healthy controls. In cultured GM12878 cells exposed to low-dose ionizing radiation from uranium tailings, we noted significant changes in cell morphology, suppression of proliferation, delay in cell cycle progression, and increased apoptosis. These effects were partially reversed by overexpression of GSTP1. Moreover, low-dose ionizing radiation increased GSTP1 gene methylation and downregulated GSTP1 expression. Furthermore, low-dose ionizing radiation affected the expression of GSTP1-related signaling molecules. Conclusions: This study shows that low-dose ionizing radiation damages GM12878 cells and affects their proliferation, cell cycle progression, and apoptosis. In addition, GSTP1 plays a modulating role under low-dose ionizing radiation damage conditions. Low-dose ionizing radiation affects the expression of Nrf2, JNK, and other signaling molecules through GSTP1.

Aberrant intestinal epithelial barrier function is the primary pathology of Ulcerative colitis (UC), making it a desirable drug target. In this study, our small-molecule compound AI-34 exerted a significant protective effect in an LPS-induced epithelial barrier injury model. In vitro, AI-34 treatment significantly decreased cell permeability, increased transmembrane resistance, and maintained the junctional protein (ZO-1 and E-cadherin) levels in monolayer cells. Using the LiP-small molecule mapping approach (LiP-SMap), we demonstrated that AI-34 binds to 14-3-3ζ. AI-34 promoted the interaction between 14-3-3ζ and β-catenin, decreasing the ubiquitination of β-catenin and thus maintaining intestinal epithelial barrier function. Finally, AI-34 triggered the stabilization of β-catenin mediated by 14-3-3ζ, provoking a significant improvement in the DSS-induced colitis model. Our findings suggest that AI-34 may be a promising candidate for UC treatment.

Abstract Josephson tunneling in twisted cuprate junctions provides a litmus test for the pairing symmetry, which is fundamental for understanding the microscopic mechanism of high temperature superconductivity. This issue is rekindled by experimental advances in van der Waals stacking and the proposal of an emergent d+id-wave. So far, all experiments have been carried out on Bi2Sr2CaCu2O8+x (Bi-2212) with double CuO2 planes but show controversial results. Here, we investigate junctions made of Bi2Sr2-xLaxCuO6+y (Bi-2201) with single CuO2 planes. Our on-site cold stacking technique ensures uncompromised crystalline quality and stoichiometry at the interface. Junctions with carefully calibrated twist angles around 45° show strong Josephson tunneling and conventional temperature dependence. Furthermore, we observe standard Fraunhofer diffraction patterns and integer Fiske steps in a junction with a twist angle of 45.0±0.2°. Together, these results pose strong constraints on the d or d+id-wave pairing and suggest an indispensable isotropic pairing component.

As a green environmentally-friendly material, rubberised concrete (RuC), which has the characteristics of low elastic modulus, large deformation capacity, high damping, good energy dissipation and good crack resistance, has attracted extensive attention and research in the civil engineering discipline. However, most of existing studies are based on experimental tests on RuC material properties, and there has been no numerical study based on meso-scale modelling of RuC yet. To more comprehensively investigate the RuC dynamic material properties without conducting intensive experimental tests, this study developed a high-fidelity meso-scale model considering coarse and fine aggregates and rubber crumbs to numerically investigate the mechanical properties of rubberised concrete under different strain rates. The meso-scale model was verified against both quasi-static compressive testing data and Split Hopkinson Pressure Bar (SHPB) dynamic testing data. Using the verified numerical model, the dynamic properties of rubberised concrete with various rubber content (0%–30%) under different strain rates were studied. The numerical results show that the developed meso-scale model can use to predict the static and dynamic properties of rubberised concrete with high accuracy. The dynamic compressive strength of the rubberised concrete increases with the increment of the strain rate, and the strain rate sensitivity increases with the rubber content ranging from 0 to 30%. Based on intensive numerical simulation data, empirical DIFs is used as a function of strain rate and rubber content to predict the dynamic strength of rubberised concrete.

Abstract Background In this study, relationships between clinicopathologic characteristics and progression‐free survival (PFS) of patients after thymomectomy were analyzed to provide valuable suggestions regarding the treatment of thymoma. Methods Data from 187 thymoma patients undergoing surgery at Beijing Tongren Hospital between January 1, 2006, and December 31, 2015, were retrospectively reviewed. We explored the risk factors for PFS among sex, age, thymoma‐associated MG, completeness of resection, histologic type and TNM stage, and investigated their interrelationship. Results Among the 187 patients, 18 patients (9.63%) had tumor recurrence/metastasis, and all of whom had in situ recurrence or pleural metastasis, and most of them (10 of 18 patients) had MG symptoms that reappeared or were aggravated. Fifteen patients (8.02%) died, and myasthenic crisis was a leading cause. Based on Cox regression analysis, only age (HR = 3.16; 95% CI: 1.44–6.91; p = 0.004) and the completeness of resection (HR = 9.03; 95% CI: 2.58–31.55; p = 0.001) were independent risk factors for PFS. Furthermore, we found that the completeness of resection was related to the histologic type (p = 0.009) and TNM stage (p

Traditional horizontal-axis wind turbines (HAWTs) have limited efficiency in low-wind speed regions. In this paper, an integrated energy system (IES) incorporating vertical-axis wind turbines (VAWTs) is proposed; this IES is located in an oilfield management area, which can utilize the low-wind speed resources more efficiently and improve renewable energy consumption, and it also introduces a demand response model based on thermal inertia (TI), thus smoothing out the volatility caused by the VAWT. Typical output scenarios are obtained through stochastic optimization to deal with wind turbine and photovoltaic output uncertainties, and an optimal scheduling model is proposed to minimize the system operating cost. Finally, a simulation study was conducted in a micro-oilfield management area in Shandong Province, China, to demonstrate the performance of the proposed system. The results show that the IES using a VAWT and TI can increase the renewable energy consumption capacity by 87% over the conventional HAWT system, change the user behavior, increase the economic efficiency by 12%, and achieve the smoothing of load-side fluctuation of electric and thermal loads, peak shaving, and valley filling. This paper provides a feasible solution for an IES in low-wind speed areas.

Background: Deeper depth of response (DpR) after induction therapy, especially gain of negative minimal residual disease (MRD), has been linked to prolonged survival in multiple myeloma (MM). However, flow-MRD examination focuses on the numbers but not on the biological characteristics of residual plasma cells (PCs). Objectives: To explore whether the genetic features of residual tumor cells affect the survival time of patients with MM. Design: A retrospective cohort study. Methods: We investigated the clonality of cytogenetic abnormalities (CAs) of the residual PCs using interphase fluorescence in situ hybridization (iFISH) in the National Longitudinal Cohort of Hematological Diseases in China (NCT04645199). Here, a longitudinal cohort of 269 patients with patient-paired diagnostic and post-induction iFISH results was analyzed. Results: Persistent CAs after induction therapy were detected in about half of the patients (118/269, 43%), and patients with undetectable CAs showed significantly improved survival compared with those with genetically detectable MRD [median progression-free survival (mPFS): 59.7 versus 35.7 months, p < 0.001; median overall survival (mOS): 97.1 versus 68.8 months, p = 0.011]. In addition, different patterns of therapy-induced clonal evolution were observed by comparing the clonal structure of residual PCs with paired baseline samples. Patients who maintained at a high risk during follow-up had the worst survival (mPFS: 30.5 months; mOS: 54.4 months), while those who returned to lower risk or had iFISH− at both time points had the best survival (mPFS: 62.0 months, mOS: not reached). Conclusion: These findings highlighted the prognostic value of genetic testing in residual tumor cells, which may provide a deep understanding of clonal evolution and guide clinical therapeutic strategies.

Introduction: With recent advances in breast cancer (BC) treatment, the disease-free survival (DFS) of patients is increasing and the risk factors for recurrence and metastasis are changing. However, a dynamic approach to assessing the risk of recurrent metastasis in BC is currently lacking. This study aimed to develop a dynamically changing prediction model for recurrent metastases based on conditional survival (CS) analysis. Methods: Clinical and pathological data from patients with BC who underwent surgery at the Affiliated Hospital of Qingdao University between August 2011 and August 2022 were retrospectively analysed. The risk of recurrence and metastasis in patients with varying survival rates was calculated using CS analysis, and a risk prediction model was constructed. Results: A total of 4244 patients were included in this study, with a median follow-up of 83.16 ± 31.59 months. Our findings suggested that the real-time DFS of patients increased over time, and the likelihood of DFS after surgery correlated with the number of years of prior survival. We explored different risk factors for recurrent metastasis in baseline patients, 3-year, and 5-year disease-free survivors, and found that low HER2 was a risk factor for subsequent recurrence in patients with 5-year DFS. Based on this, conditional nomograms were developed. The nomograms showed good predictive ability for recurrence and metastasis in patients with BC. Conclusion: Our study showed that the longer patients with BC remained disease-free, the greater their chances of remaining disease-free again. Predictive models for recurrence and metastasis risk based on CS analysis can help improve the confidence of patients fighting cancer and help doctors personalise treatment and follow-up plans.

AbstractThe increase in the number and severity of seismic disasters has put communities in danger, especially in rapidly developing and densely populated areas. Traditional seismic vulnerability and risk assessment methods, including field investigation, are accurate at the building scale; however, their low-efficiency and high-cost characteristics limit the application of these methods in urban-scale regions with high-speed development and risk exposure. To address this issue, multisource remote sensing interpretation, support vector machine (SVM) and geographic information science (GIScience) technologies are combined to test the performance and efficiency of a urban-scale macroscopic seismic vulnerability and risk assessment method in the Lixia District of Jinan City, Shandong Province, China, which is characterized by rapid development, a variety of building types, and moderate-to-low seismic risk. First, a traditional field survey was conducted in Lixia District, and a building attribute information database was constructed. Second, the vulnerability proxies of building attribute information and building seismic vulnerability were estimated based on the EMS-98 standard and the SVM. Finally, vulnerability proxies established based on the RISK-UE model were applied to the Lixia database, and the vulnerability and risk assessment under different seismic intensities were estimated with the experimental accuracy verified. The results showed that the SVM method can obtain stable and accurate results in urban scale vulnerability assessment. The mean building vulnerability index in Lixia District is 0.43, which indicates that the overall seismic performance is good. Most of the area falls within the seismic intensity range of VII-X degrees and would experience slight to moderate damage. The results of the study contribute to enhancing the precision and efficacy of large-scale seismic risk assessment, and they can be used by relevant departments to create tailored emergency plans and reduce seismic hazard losses. Additionally, these results can aid in achieving the climate action goal (SDG13) of the United Nations Sustainable Development Goals (SDGs).

The study of temporal and spatial variations of nitrate in groundwater under different soil nitrogen environments is helpful to the security of groundwater resources in agricultural areas. In this paper, based on 320 groups of soil and groundwater samples collected at the same time, geostatistical analysis and multiple regression analysis were comprehensively used to conduct the evaluation of nitrogen contents in both groundwater and soil. From May to August, as the nitrification of groundwater is dominant, the average concentration of nitrate nitrogen is 34.80 mg/L; The variation of soil ammonia nitrogen and nitrate nitrogen is moderate from May to July, and the variation coefficient decreased sharply and then increased in August. There is a high correlation between the nitrate nitrogen in groundwater and soil in July, and there is a high correlation between the nitrate nitrogen in groundwater and ammonium nitrogen in soil in August and nitrate nitrogen in soil in July. From May to August, the area of low groundwater nitrate nitrogen in 0–5 mg/L and 5–10 mg/L decreased from 10.97% to 0, and the proportion of high-value area (greater than 70 mg/L) increased from 21.19% to 27.29%. Nitrate nitrogen is the main factor affecting the quality of groundwater. The correlation analysis of nitrate nitrogen in groundwater, nitrate nitrogen in soil and ammonium nitrogen shows that they have a certain period of delay. The areas with high concentration of nitrate in groundwater are mainly concentrated in the western part of the study area, which has a high consistency with the high value areas of soil nitrate distribution from July to August, and a high difference with the spatial position of soil ammonia nitrogen distribution in August.