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Abstract Background Rectal cancer is a common cancer worldwide and lacks effective prognostic markers. The development of prognostic markers by computational pathology methods has attracted increasing attention. This paper aims to construct a prognostic signature from whole slide images for predicting progression-free survival (PFS) of rectal cancer through an unsupervised artificial intelligence algorithm. Methods A total of 238 patients with rectal cancer from two datasets were collected for the development and validation of the prognostic signature. A tumor detection model was built by transfer learning. Then, on the basis of the tumor patches recognized by the tumor detection model, a convolutional autoencoder model was built for decoding the tumor patches into deep latent features. Next, on the basis of the deep latent features, the tumor patches were divided into different clusters. The cluster number and other hyperparameters were optimized by a nested cross-validation method. The percentage of each cluster from the patient’s tumor patches, which is hereafter called PCF, was calculated for prognostic signature construction. The prognostic signature was constructed by Cox proportional hazard regression with L2 regularization. Finally, bioinformatic analysis was performed to explore the underlying biological mechanisms of the PCFs. Results The accuracy of the tumor detection model in distinguishing tumor patches from non-tumor patches achieved 99.3%. The optimal cluster number was determined to be 9. Therfore, 9 PCFs were calculated to construct the prognostic signature. The prognostic signature achieved a concordance index of 0.701 in the validation cohort. The Kaplan-Meier survival curves showed the prognostic signature had good risk stratification ability. Through the bioinformatic analysis, several PCF-associated genes were identified. These genes were enriched in various gene ontology terms. Conclusion The developed prognostic signature can effectively predict PFS in patients with rectal cancer and exploration of the underlying biological mechanisms may help to promote its clinical translation.

Abstract The slope of open-pit mines is typically characterized by an interaction structure involving multiple weak layers, with these structural characteristics serving as key factors in determining rock slope stability. Under the influence of random factors such as engineering activities and geological structures, the weak layers of the slope and the intact rock layers undergo relative changes. This interaction leads to a more pronounced spatial variability in the geotechnical parameters that inherently exist. Consequently, twenty generalized models of the rock slope, each with different structural characteristics were established by varying the slope angle, weak layer dip, and slope height. The Latin Hypercube Sampling (LHS) method was employed to efficiently generate parameters random fields. Utilizing mathematics software and FLAC3D, these random fields were assigned to the numerical model via an independent program. The variations in statistical characteristics of both the deformation and safety factor of the slope were obtained through the strength reduction method. The results indicate that, for both bedding and anti-dip slopes with stochastic geotechnical parameters, an increase in the slope angle results in a decrease in the safety factor, albeit to varying degrees. Additionally an increase in slope height leads to a reduction in the safety factor of the bedding slope. Reducing the slope angle is more effective than decreasing the slope height in improving stability. As the angle of the weak layers increases, the mean safety factor of the bedding rock slope decreases, while that of the anti-dip slope increases. The stability of the anti-dip slope is significantly greater than that of the bedding slope. The dip of the weak layer has a pronounced effect on the stability of the bedding slope; as the dip angle increases, the failure mode shifts from slip failure along the weak layer to slip-toppling failure. In contrast, the potential slip surface of the anti-dip slope typically manifests as an arc shape that intersects multiple weak layers. The sensitivity of the safety factor to structural characteristics follows the order of slope angle, weak layer dip, and slope height from most to least significant.

Abstract Background Transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS) are common non-invasive brain stimulation (NIBS) methods for functional recovery after stroke. Motor imagery (MI) can be used in the rehabilitation of limb motor function after stroke, but its effectiveness remains to be rigorously established. Furthermore, there is a growing interest in the combined application of NIBS with MI, yet the evidence regarding its impact on the recovery of upper limb function after stroke is inconclusive. This meta-analysis aimed to demonstrate whether combining the two is superior to NIBS alone or MI alone to provide a reference for clinical decision-making. Methods PubMed, EMBASE, Cochrane Library, Web of Science, Science Direct, CNKI, WANFANG, and VIP databases were searched for randomized controlled trials on the effects of MI combined NIBS in motor function recovery after stroke until February 2024. The outcomes of interest were associated with body functions or structure (impairment) and activity (functional). The primary outcome was assessed with the Fugl-Meyer assessment of the upper extremity (FMA-UE) for motor function of the upper limbs and the modified Barthel Index (MBI) for the ability to perform daily living activities. For secondary outcomes, functional activity level was measured using wolf motor function test (WMFT) and action research arm test (ARAT), and cortical excitability was assessed using cortical latency of motor evoked potential (MEP-CL) and central motor conduction time (CMCT). The methodological quality of the selected studies was evaluated using the evidence‑based Cochrane Collaboration’s tool. A meta-analysis was performed to calculate the mean differences (MD) or the standard mean differences (SMD) and 95% confidence intervals (CI) with random-effect models. Results A total of 14 articles, including 886 patients, were reviewed in the meta-analysis. In comparison with MI or NIBS alone, the combined therapy significantly improved the motor function of the upper limbs (MD = 5.43; 95% CI 4.34–6.53; P

Abstract Diabetic kidney disease (DKD) is the main cause of deaths due to diabetes mellitus (DM). Due to the complexity of its onset, it is difficult to achieve accurate prevention and treatment. The classically activated macrophage (M1) polarization is a crucial proinflammatory mechanism of DKD, while the interaction and cascade effects of oxidative stress and inflammatory response remain to be elucidated. A urine proteomic analysis of patients with DM indicated that peroxiredoxin 2 (PRDX2) had the higher abundance in DKD. We recently found that PRDX of parasitic protozoa Entamoeba histolytica, which was similar to human PRDX2 in amino acid sequence and spatial structure, could activate the inflammatory response of macrophages through toll-like receptor 4 (TLR4). Hence, our study was designed to explore the role of PRDX2 in chronic inflammation during DKD. Combined with in vivo and in vitro experiments, results showed that the PRDX2 was positively correlated with DKD progression and upregulated by high glucose or recombinant tumor necrosis factor-α in renal tubular epithelial cells; Besides, recombinant PRDX2 could promote M1 polarization of macrophages, and enhance the migration as well as phagocytic ability of macrophages through TLR4. In summary, our study has explored the novel role of PRDX2 in DKD to provide a basis for further research on the diagnosis and treatment of DKD.

Abstract Background Mobile phone addiction (MPA) has numerous deleterious effects on college students, including depression, anxiety, cognitive impairments, and sleep disorders. Undergraduate nursing students play a crucial role as a significant reserve workforce in clinical nursing practice, and their compromised mental health status significantly influences the quality of nursing work and nurse-patient relationships in the future. Objectives This study aims to investigate the associations between neuroticism and MPA among undergraduate nursing students, the mediating effect of self-control and the moderating effect of psychological capital. Methods A total of 900 undergraduate nursing students participated in the survey, wherein the Eysenck Personality Questionnaire Short Form Scale China Version-Neuroticism Subscale (EPQ-RSC-N), Self-Control Scale (SCS), Positive Psychological Capital Questionnaire (PPQ), and Mobile Phone Addiction Tendency Scale (MPATS) were employed for assessment. To analyze the available data, various statistical methods were utilized, including common method bias test examination, descriptive statistics, chi-square tests, independent samples t-tests, Pearson’s correlation analyses, as well as the Hayes’ PROCESS Macro models 4 and 14. Results (1) The prevalence of MPA in this study was found to be 34.89%. (2) The MPA was positively correlated with neuroticism (r = 0.287, p

Abstract We present here the first-ever fossil flies from the family Deuterophlebiidae. The recent adults have an exceptionally brief lifespan, with males surviving only two hours. Their distinctive features include a complete reduction of mouthparts, and wing venation characterized by a dense net of false veins replacing most of true veins. Due to this distinctive venation the phylogenetic position of Deuterophlebiidae was unclear, compounded by the absence of fossils that could shed light on the early development of these characters. Two new genera and species are described from Burmese amber, Protodeuterophlebia oosterbroeki Krzemiński, Krzemińska & Soszyńska, gen. et sp. nov. and Cretodeuterophlebia courtneyi, Krzemiński, Skibińska & Kopeć, gen. et sp. nov. They date back the age of the family to the mid-Cretaceous. Notably, the fossils reveal first false veins and reduced mouthparts, suggesting a short lifespan in these Cretaceous mountain midges. A comparative analysis of wing venation indicated the Hennigmatidae as a plausible ancestral group to the Deuterophlebiidae. A syninclusion of mayfly indicates the coexistence of these short-lived insects during the same flight period. This synchrony extends to their brief time in flight aligning with the flow of fluid resin. The occurrence of these simultaneous events is extremely low, emphasizing the significance of these findings.

Abstract To study the flame propagating characteristic and its coupling effect with other parameters in the LPG pipeline, a typical pipeline model with two equal‐length branches perpendicular to each other is designed for experiment and simulation. Then, gas explosion scenarios are experimentally tested and numerically simulated, which is followed by the analysis of flame shape changing with time and peak temperature changing with space. Results show that when passing through the bifurcation, flame propagates to vertical branch B in a sharp knife shape affected by the strong vortex, reflected airflow, and compressed pressure wave in the pipeline with a diameter of 0.125 m. At the monitoring point that is 0.4 m away from the bifurcation point, the peak temperature of the vertical branch B is 57.87% bigger than that of the horizontal branch C, and its arrival time is 80% longer than that of the horizontal branch C, due to the existence of flame in vertical branch B. What's more, in both branches, the coupling results between peak temperature and peak velocity agree very well with the growth function, while the coupling results between peak temperature and peak pressure agree well with the decay function, providing aids to the optimal layout design of industrial pipeline branches as well as to the explosion suppression measures.

Sustainable rural development is predicated on a delicate balance between rural territorial functions and ecological constraints. While various functions can catalyze economic growth in rural settings, aligning them with inherent ecological variables is essential. An exhaustive analysis of Beijing’s Pinggu District elucidated specific supply-demand thresholds and evaluated the adaptability of current utilization within these boundaries, culminating in a novel optimization strategy. Notably, while locals place significant emphasis on production functions, the area’s topography and soil characteristics present palpable challenges to achieving these goals. We discovered that ‘shackle type’ predominantly characterize individual rural territorial functions, while ‘diversified weak function optimization type’ define multifunctional aspects, showcasing varied development paths and uncovering potential strategies for sustainable improvement. This study contributes a groundbreaking perspective to sustainable rural development, offering key insights and strategic recommendations for policy formulation.

Abstract Objective The number of workers engaged in informal employment in China has reached 200 million individuals, constituting a substantial contribution to the pursuit of high-quality development and the attainment of stable employment objectives. Nevertheless, the psychological well-being of informal workers cannot be overlooked. Therefore, this study aims to investigate the impact of informal employment on individuals’ psychological well-being. Methods Drawing on data from the 2020 China Family Panel Studies (CFPS) survey, this work employs ordinary least squares (OLS) models and instrumental variable analysis to empirically examine the impact of informal employment on the psychological well-being. Furthermore, different tests were utilised to analyse the mediating pathway through which informal employment affects the psychological well-being. Results Informal employment exhibits a significant negative impact on the psychological well-being, particularly among samples characterised by low educational levels, limited financial resources, and non-agricultural household registration. The exploration of the underlying mechanisms indicates that informal employment negatively affects the psychological well-being of workers through pathways that include reduced access to health entitlements, increased working hours, and decreased job satisfaction, particularly with the work environment. Conclusion A recommendation is proposed; namely, to further establish a social security system that caters to the needs of the informal employment population and supports and regulates the development of flexible employment forms, with the aim of protecting and enhancing the psychological well-being of the informal employment population.

Abstract Background Body roundness index (BRI) is an anthropometric measure related to obesity, combining waist circumference (WC) and height to more accurately reflect body fat. This study aims to investigate the relationship between BRI and the risk of hypertension using data from a prospective cohort study in Southwest China. Methods Data for the study were derived from Guizhou Population Health Cohort Study (GPHCS), established in 2010. A total of 9,280 participants (aged 18 to 95 years, mean 41.53 ± 14.15 years) from 48 townships across 12 districts/counties were surveyed at baseline through multistage stratified random cluster sampling. Cox proportional risk models were employed to analyze the association between BRI and the risk of hypertension, estimating hazard ratios (HRs) and 95% confidence intervals (CIs) after adjusting for confounding factors. The relationship between BRI and the onset time of hypertension was analyzed using the time failure acceleration model. Results Over a median follow-up period of 6.64 years, 1,157 participants were diagnosed with hypertension. After adjusting for confounding variables, each unit increase in BRI was associated with a 17% increase in hypertension risk (HR = 1.17, 95% CI: 1.11, 1.24, P for trend

Abstract The prevalence of autism spectrum disorders (ASDs) differs substantially between males and females, suggesting that sex-related neurodevelopmental factors are central to ASD pathogenesis. Numerous studies have suggested that abnormal brain specialization patterns and poor regional cooperation contribute to ASD pathogenesis, but relatively little is known about the related sex differences. Therefore, this study examined sex differences in brain functional specialization and cooperation among children with ASD. The autonomy index (AI) and connectivity between functionally homotopic voxels (CFH) derived from resting-state functional magnetic resonance imaging (rs-fMRI) were compared between 58 male and 13 female children with ASD. In addition, correlations were examined between regional CFH values showing significant sex differences and symptom scores on the autism behavior checklist (ABC) and childhood autism rating scale (CARS). Male children with ASD demonstrated significantly greater CFH in the left fusiform gyrus (FG) and right opercular part of the inferior frontal gyrus (IFGoperc) than female children with ASD. In addition, the CFH value of the left FG in male children with ASD was negatively correlated with total ABC score and subscale scores for sensory and social abilities. In contrast, no sex differences were detected in brain specialization. These regional abnormalities in interhemispheric cooperation among male children with ASD may provide clues to the neural mechanisms underlying sex differences in ASD symptomatology and prevalence. Autism spectrum disorders, sex, resting-state functional magnetic resonance imaging, cerebral specialization, interhemispheric cooperation.

Abstract Methods Web of Science, Cochrane library and PubMed were systematically searched up to January 2024 to identify studies examining the impact of financial incentives on diabetes management in patients. Studies were evaluated based on the robustness of their methodology, participant numbers, and quality scores. The Cochrane risk-of-bias tool was applied for randomized controlled trials, while the Newcastle–Ottawa Scale was used for non-randomized controlled trials to assess study quality. Due to the heterogeneity of the included studies, a narrative synthesis approach was utilized. Results In the study, we included 12 published research studies. Five studies investigated the influence of financial incentives on patient behavior, all demonstrating a significant positive impact on behaviors such as blood glucose monitoring, medication adherence, and physical activity. 10 studies analyzed the impact of financial incentives on HbA1c levels in diabetes patients. Among them, 5 studies reported that financial incentives could improve HbA1c levels through longitudinal historical comparisons. The other 5 studies did not find significant improvements compared to the control group. Three studies explored long-term effects, two studies targeting the adolescent population had no impact, and one study targeting adults had a positive impact. Conclusions In summary, this review found that financial incentives can positively influence patient behavior and enhance compliance, but their impact on HbA1c levels is inconsistent. Financial incentives may help adult patients maintain behavior even after the withdrawal of incentives.

Background: Acute myocardial infarction (AMI) carries a high short-term risk of death, even after percutaneous coronary intervention (PCI). Glucose variability (GV), measured by the glucose coefficient of variation (GluCV), is a potential risk factor for adverse outcomes. This study investigates GluCV's predictive value for in-hospital mortality in AMI patients undergoing PCI. Method: This study involved 2325 AMI patients who were admitted to the ICU and underwent PCI from the MIMIC-IV database. Patients were categorized into quartiles based on GluCV:

An inductive combination of plant growth regulators, inorganic salts, and fungi is essential for the formation of aromatic components in the xylem of Aquilaria sinensis. However, the dynamics of xylem physiology and the relationships between physiological properties and aromatic components after artificial induction remain unclear. In this study, the changes in physiological properties of A. sinensis xylem during induction were determined and analyzed under four induction treatments and a control group. The defense hormone contents of jasmonic acid, salicylic acid, aminocyclopropane-1-carboxylic acid, and abscisic acid obtained from the four induction treatments increased significantly. However, the concentrations of gibberellin and indoleacetic acid were decreased compared to the control group. An initially upward and then downward trend was observed in the main antioxidant enzyme activities. Additionally, malonaldehyde content decreased obviously, while proline content tended to increase and then decrease as induction continued. The total and soluble sugar content was evidently reduced after treatment, and the soluble sugar content recovered more rapidly with time. Thirty-three aromatic components were identified in all treatments, and the primary aromatic components were terpenes, aromatics and chromones, the relative contents of which varied among treatments. These results provide new insights for optimization and innovation of agarwood induction techniques by exploring the formation of aromatics in the xylem of A. sinensis and its physiological responses following induction with exogenous substances (ethephon, NaCl, CaCl2 and fungal mixed solution).

Background: Codonopsis pilosula is a traditional herb widely used in Asian countries. As regulatory institutions increasingly acknowledge its medicinal and food-related characteristics, the attention from scholars is expected to increase rapidly. However, an overview and reports on research focus on this promising herb are currently lacking. Therefore, the objective of this study was to fill this knowledge gap by conducting a systematic review of relevant literature to explore the developing history and research focus on C. pilosula. This research is of significant importance in gaining a deeper understanding of the potential benefits and application areas of C. pilosula. Method: The output, institutions, countries, authors, highly cited publications, frontier focus and funding agencies of C. pilosula were analyzed using VOSviewer, CiteSpace, and COOC software. Results: The development of C. pilosula experienced 3 stages: initial stage (1979–2002), fast stage (2003–2012), and explosive stage (2013-present), with each stage showing linear growth. Worldwide attention from 1292 institutions in 27 countries have been paid, with China leading in output and collaboration. Lanzhou University in China contributed most publications with Fangdi Hu as a core specialist facilitating collaborations in agricultural and pharmacological research. A stable cooperation network has formed among researchers from different fields, focusing on pharmacological activity, chemical constituents, quality control, and medication rules. The research focus updated timely with new scientific frontiers occur. Medication rules, data mining, molecular docking, traditional Chinese medicine, gut microbiota, and polysaccharide are frontier focus presently and in the near future. Significant attention and funding have been provided by the national and local government of Gansu province in China. Conclusion: Research on C. pilosula is thriving, particularly in China, with a promising future in traditional Chinese medicine and pharmacology. This study provides valuable insights for future research directions and contributes to the effective development of C. pilosula.

Abstract Background Colorectal cancer (CRC) arises from complex interactions between host and environment, which include the gut and tissue microbiome. It is hypothesized that epigenetic regulation by gut microbiota is a fundamental interface by which commensal microbes dynamically influence intestinal biology. The aim of this study is to explore the interplay between gut and tissue microbiota and host DNA methylation in CRC. Methods Metagenomic sequencing of fecal samples was performed on matched CRC patients (n = 18) and healthy controls (n = 18). Additionally, tissue microbiome was profiled with 16S rRNA gene sequencing on tumor (n = 24) and tumor-adjacent normal (n = 24) tissues of CRC patients, while host DNA methylation was assessed through whole-genome bisulfite sequencing (WGBS) in a subset of 13 individuals. Results Our analysis revealed substantial alterations in the DNA methylome of CRC tissues compared to adjacent normal tissues. An extensive meta-analysis, incorporating publicly available and in-house data, identified significant shifts in microbial-derived methyl donor-related pathways between tumor and adjacent normal tissues. Of note, we observed a pronounced enrichment of microbial-associated CpGs within the promoter regions of genes in adjacent normal tissues, a phenomenon notably absent in tumor tissues. Furthermore, we established consistent and recurring associations between methylation patterns of tumor-related genes and specific bacterial taxa. Conclusions This study emphasizes the pivotal role of the gut microbiota and pathogenic bacteria in dynamically shaping DNA methylation patterns, impacting physiological homeostasis, and contributing to CRC tumorigenesis. These findings provide valuable insights into the intricate host-environment interactions in CRC development and offer potential avenues for therapeutic interventions in this disease.

Abstract Background As indispensable reserves for the nursing workforce, undergraduate nursing students must possess self-directed learning abilities to consistently update their professional knowledge and adapt to the evolving demands of professional development. The acquisition of self-directed learning abilities can help undergraduate nursing students augment their theoretical knowledge and refine their clinical practice skills, thus fulfilling the demand from patients for high-quality nursing services. Hence, comprehending and investigating the factors that influence the development of self-directed learning abilities in nursing students is of paramount importance for nursing education and advancement of the nursing profession. Objectives This study investigated the status of and associations between perceived stress, psychological capital, and self-directed learning abilities among undergraduate nursing students. Additionally, it examines the mediating role of psychological capital in the relationship between perceived stress and self-directed learning abilities. Thus, aiming to provide nursing educators with new directions for enhancing self-directed learning abilities. Design A cross-sectional descriptive study. Methods In February and March 2023, 900 undergraduate nursing students from 10 nursing schools completed an online questionnaire. The questionnaire included measures of perceived stress, psychological capital, and self-directed learning ability. Data were analyzed using SPSS 27.0 and the PROCESS macro tool. Results The scores for perceived stress, psychological capital, and self-directed learning ability among undergraduate nursing students were 40.07 ± 5.90, 99.89 ± 16.59, and 87.12 ± 9.20, respectively. Self-directed learning abilities were negatively correlated with perceived stress (r = -0.415, p

Abstract Recent studies have shown the crucial role of podocyte injury in the development of diabetic kidney disease (DKD). Deubiquitinating modification of proteins is widely involved in the occurrence and development of diseases. Here, we explore the role and regulating mechanism of a deubiquitinating enzyme, OTUD5, in podocyte injury and DKD. RNA-seq analysis indicates a significantly decreased expression of OTUD5 in HG/PA-stimulated podocytes. Podocyte-specific Otud5 knockout exacerbates podocyte injury and DKD in both type 1 and type 2 diabetic mice. Furthermore, AVV9-mediated OTUD5 overexpression in podocytes shows a therapeutic effect against DKD. Mass spectrometry and co-immunoprecipitation experiments reveal an inflammation-regulating protein, TAK1, as the substrate of OTUD5 in podocytes. Mechanistically, OTUD5 deubiquitinates K63-linked TAK1 at the K158 site through its active site C224, which subsequently prevents the phosphorylation of TAK1 and reduces downstream inflammatory responses in podocytes. Our findings show an OTUD5-TAK1 axis in podocyte inflammation and injury and highlight the potential of OTUD5 as a promising therapeutic target for DKD.

Abstract Metabolic reprogramming is widely recognized as a hallmark of malignant tumors, and the targeting of metabolism has emerged as an appealing approach for cancer treatment. Mitochondria, as pivotal organelles, play a crucial role in the metabolic regulation of tumor cells, and their morphological and functional alterations are intricately linked to the biological characteristics of tumors. As a key regulatory subunit of mitochondria, mitochondrial inner membrane protein (IMMT), plays a vital role in degenerative diseases, but its role in tumor is almost unknown. The objective of this research was to investigate the roles that IMMT play in the development and progression of breast cancer (BC), as well as to elucidate the underlying biological mechanisms that drive these effects. In this study, it was confirmed that the expression of IMMT in BC tissues was significantly higher than that in normal tissues. The analysis of The Cancer Genome Atlas (TCGA) database revealed that IMMT can serve as an independent prognostic factor for BC patients. Additionally, verification in clinical specimens of BC demonstrated a positive association between high IMMT expression and larger tumor size (> 2 cm), Ki-67 expression (> 15%), and HER-2 status. Furthermore, in vitro experiments have substantiated that the suppression of IMMT expression resulted in a reduction in cell proliferation and alterations in mitochondrial cristae, concomitant with the liberation of cytochrome c, but it did not elicit mitochondrial apoptosis. Through Gene Set Enrichment Analysis (GSEA) analysis, we have predicted the associated metabolic genes and discovered that IMMT potentially modulates the advancement of BC through its interaction with 16 metabolic-related genes, and the changes in glycolysis related pathways have been validated in BC cell lines after IMMT inhibition. Consequently, this investigation furnishes compelling evidence supporting the classification of IMMT as prognostic marker in BC, and underscoring its prospective utility as a novel target for metabolic therapy.

Background: Soil salinization threatens food security and ecosystem health, and is one of the important drivers to the degradation of many ecosystems around the world. Soil microorganisms have extremely high diversity and participate in a variety of key ecological processes. They are important guarantees for soil health and sustainable ecosystem development. However, our understanding of the diversity and function of soil microorganisms under the change of increased soil salinization is fragmented. Aim of Review: Here, we summarize the changes in soil microbial diversity and function under the influence of soil salinization in diverse natural ecosystems. We particularly focus on the diversity of soil bacteria and fungi under salt stress and the changes in their emerging functions (such as their mediated biogeochemical processes). This study also discusses how to use the soil microbiome in saline soils to deal with soil salinization for supporting sustainable ecosystems, and puts forward the knowledge gaps and the research directions that need to be strengthened in the future. Key Scientific Concepts of Review: Due to the rapid development of molecular-based biotechnology (especially high-throughput sequencing technology), the diversity and community composition and functional genes of soil microorganisms have been extensively characterized in different habitats. Clarifying the responding pattern of microbial-mediated nutrient cycling under salt stress and developing and utilizing microorganisms to weaken the adverse effects of salt stress on plants and soil, which are of guiding significance for agricultural production and ecosystem management in saline lands.

Objective: To optimize the subcritical water extraction process for flavonoids from Mentha haplocalyx Briq. (mint) and assess the mitigating effects of peppermint flavonoids on H2O2-induced adrenal pheochromocytoma (PC12 cell) injury in rats. Methods: The subcritical water extraction process for mint flavonoids was optimized using single-factor and Box-Behnken response surface tests. A comparison was made with reflux extraction, ultrasonic-assisted extraction, and supercritical CO2 extraction methods. In vitro cell culture of PC12 cells was employed to establish an H2O2-induced PC12 cell injury model. The neuroprotective activity of mint flavonoids was analyzed using the MTT (methyl thiazolye tetrazolium, MTT) method. Results: The optimized extraction conditions were determined to be 142 ℃, 38 min, and 21:1 mL/g, resulting in a mint flavonoid yield of 14.07%±0.23%. This yield was significantly higher (P

Background: Small cell lung cancer (SCLC) is considered the most malignant subtype of lung cancer, and it has a restricted range of therapeutic choices. The emergence of immunotherapy has offered new possibilities for patients with SCLC. However, the scarcity of clinical specimens has hampered the progress of clinical studies and we still face a shortage of dependable indicators to forecast the effectiveness of immunotherapy for SCLC. Methods: In our study, we assessed the ImmuneScore and StromalScore of 81 SCLC samples obtained from the cBioPortal database. By comparing gene expression differences between the high and low immune scores groups, we identified 24 differentially expressed genes. Subsequently, an intersection was performed with genes that exhibited differential expression between normal and SCLC tissues, leading us to isolate the gene CHRNA6. To gain a deeper insight into the possible significance of CHRNA6 in SCLC, we singled out 50 genes that showed the most pronounced positive and negative associations with its expression. We then pinpointed hub genes for subsequent functional enrichment analyses by establishing a protein-protein interactions network. We additionally assessed the link between CHRNA6 expression in SCLC and characteristics of the immune microenvironment, along with the efficacy of immunotherapy, using the CIBERSORT, immunophenoscores (IPS), and tumor immune dysfunction and exclusion (TIDE) algorithms. Furthermore, we confirmed the prognostic impact of CHRNA6 expression in SCLC patients undergoing immunotherapy within a clinical cohort. Lastly, we obtained data from The Cancer Genome Atlas (TCGA) to investigate CHRNA6 expression in various tumors and its associations with genetic alterations, DNA methylation, copy number variation, clinicopathological characteristics, biological processes, immune microenvironment, prognosis, and drug sensitivity. Results: In SCLC, we found that CHRNA6 function was associated with immune activation pathways such as antigen presentation processing and positive regulation of adaptive immune response, and that CHRNA6 demonstrated a strong correlation with immune cells infiltration. In addition, analysis of the clinical cohort revealed that patients with SCLC who exhibited elevated expression of CHRNA6 experienced better responses to immunotherapy. Our pan-cancer analysis disclosed that the expression of CHRNA6 is dysregulated in a multitude of cancers, potentially due to genetic mutations, copy number gains, and DNA demethylation. The gene set enrichment analysis (GSEA) outcomes indicated that CHRNA6 participates in immune responses and may play a positive immune regulatory role in most cancers. Furthermore, CHRNA6 has been observed to have a notable relationship with immune checkpoints, immunomodulators, immune cell infiltration, patient outcomes, and drug sensitivity across various cancers. Conclusions: Our findings indicate that the CHRNA6 may act as a predictive indicator for SCLC patients receiving immunotherapy. The study also uncovers the aberrant expression of CHRNA6 in a range of human cancers and its potential roles in immunology and prognosis, offering novel perspectives for tailored cancer therapies.

B cells constitute a diverse and adaptable immune cell population with functions that can vary according to the environment and circumstances. The involvement of B cells in pregnancy, as well as the associated molecular pathways, has yet to be investigated. This review consolidates current knowledge on B cell activities and regulation during pregnancy, with a particular focus on the roles of various B cell subsets and the effects of B cell-derived factors on pregnancy outcomes. Moreover, the review examines the significance of B cell-associated autoantibodies, cytokines, and signaling pathways in relation to pregnancy complications such as pregnancy loss, preeclampsia, and preterm birth.

Anterior cruciate ligament (ACL) injury is a common sports injury, and ACL reconstruction is an effective surgery for this trauma. Most cases gain good recovery after surgery, while some patients may experience knee stiffness, which is characterized by joint fibrosis, leading to reduced joint mobility, pain, and dysfunction. Currently, various research studies have been conducted to unveil the mechanisms underlying this condition, identifying pre-, intra-, and post-operative risk factors, and testify the efficacy of different therapeutic methods against it. In this review, we summarize the current progress regarding the advancements in knee fibrosis after ACL reconstruction. The risk factors associated with knee fibrosis are systematically delineated, accompanied by an evaluation of the efficacy of various treatment modalities for both the prevention and mitigation of fibrosis. Furthermore, recommendations for future research directions are proposed, offering a foundational basis for subsequent investigations.

The line-structured light system is widely utilized for various 3D profile measurements due to its convenience and high efficiency. However, the existing calibration methods primarily focus on establishing the relationship between object points and image points, which imposes stringent requirements on the calibration target. To address this issue, a practical calibration method based on interpolation function is proposed in order to measure a specific 3D profile - namely, the diameter of a rotating workpiece during machining. Firstly, the light stripe projected onto an ordinary machined workpiece by a light plane is captured using a Charge-Coupled Device (CCD) camera and subsequently fitted to a quadratic elliptic curve after undergoing image processing. Subsequently, the cubic spline interpolation function is selected to directly establish a mapping relationship between geometric characteristics of the elliptic curve and the diameter measurement. Several experiments are conducted to evaluate the proposed methods. The experimental results demonstrate that compared with two comparison methods, our approach reduces the calibration error of linear structured light systems by 69 % and 51 %, respectively; furthermore, it enables restoration of smooth and detailed 3D models through parallel movement of the system. Moreover, our entire calibration process proves practicable in simplifying experimental procedures while remaining suitable for industrial inspection applications.

A rolling bearing plays a key role in the gearbox of the cold rolling mill transmission system. As a result, the degradation and failure of bearings can lead to unplanned shutdowns of the entire rolling mill system. Since on-site cold rolling mills work usually in non-steady lubrication rolling conditions originating form variations of multiple parameters, the uncertainty affecting bearing performance in a cold rolling mill transmission system increases, making it more difficult to assess health status and predict the remaining service life of bearings, Therefore, by establishing a coupling model describing the relationship for the rolling mill and normal /faulty gearboxes under non steady rolling conditions, quantitatively studies the influence of various rolling parameters of a rolling mill on the fatigue service life of bearings in the gearbox of the rolling mill transmission system, and verify the effectiveness of linear cumulative damage theory for bearing fatigue service life through experiments and on-site bearing vibration data. The results indicate that as the thickness of the strip steel inlet, lubricant viscosity, and rolling speed increase, or the thickness of the strip steel outlet and rolling roll radius decrease, the service life of bearings gradually decreases. As the fluctuation amplitude of various rolling parameters in the cold rolling mill increases, the service life of bearings in the gearbox of the rolling mill transmission system gradually shortens. Moreover, when the rolling parameter value or fluctuation amplitude increases to a specific values, the remaining service life of bearings will sharply decrease. Under the same rolling conditions, the service life of bearings in gearboxes with faults decreases more significantly than that in normal gearboxes.

Primary graft dysfunction (PGD) is a severe form of acute lung injury resulting from lung ischemia/reperfusion injury (I/R) in lung transplantation (LTx), associated with elevated post-transplant morbidity and mortality rates. Neutrophils infiltrating during reperfusion are identified as pivotal contributors to lung I/R injury by releasing excessive neutrophil extracellular traps (NETs) via NETosis. While alveolar macrophages (AMs) are involved in regulating neutrophil chemotaxis and infiltration, their role in NETosis during lung I/R remains inadequately elucidated. Extracellular histones constitute the main structure of NETs and can activate AMs. In this study, we confirmed the significant involvement of extracellular histone-induced M1 phenotype of AMs (M1-AMs) in driving NETosis during lung I/R. Using secretome analysis, public protein databases, and transwell co-culture models of AMs and neutrophils, we identified Cathepsin C (CTSC) derived from AMs as a major mediator in NETosis. Further elucidating the molecular mechanisms, we found that CTSC induced NETosis through a pathway dependent on NADPH oxidase-mediated production of reactive oxygen species (ROS). CTSC could significantly activate p38 MAPK, resulting in the phosphorylation of the NADPH oxidase subunit p47phox, thereby facilitating the trafficking of cytoplasmic subunits to the cell membrane and activating NADPH oxidase. Moreover, CTSC up-regulated and activated its substrate membrane proteinase 3 (mPR3), resulting in an increased release of NETosis-related inflammatory factors. Inhibiting CTSC revealed great potential in mitigating NETosis-related injury during lung I/R. These findings suggests that CTSC from AMs may be a crucial factor in mediating NETosis during lung I/R, and targeting CTSC inhition may represent a novel intervention for PGD in LTx.

ObjectivesThis current study is based on a set of visual motion sensitivity tests, investigating the correlation between visual motion sensitivity and diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM), thereby furnishing a scientific rationale for preventing and controlling DR.MethodsThis research was conducted by a combination of questionnaire collection and on-site investigation that involved 542 T2DM recruited from a community. The visual motion sensitivity determined the visual motion perception of the participants across three spatial frequencies (low, medium, and high) for both the first- and second-order contrast. The logistic regression model was adopted to investigate the relationship between visual motion sensitivity and DR prevalence. Besides, the Pearson correlation analysis was used to analyze the factors influencing visual motion sensitivity and restricted cubic spline (RCS) functions to assess the dose–response relationship between visual motion sensitivity and glycated hemoglobin.ResultsAmong 542 subjects, there are 162 cases of DR, with a prevalence rate of 29.89%. After adjusting factors of age, gender, glycated hemoglobin, duration of diabetes, BMI, and hypertension, we found that the decline in first- and second-order high spatial frequency sensitivity increased the risk for DR [odds ratio (OR): 1.519 (1.065, 2.168), 1.249 (1.068, 1.460)]. The decline in perceptual ability of second-order low, medium, and high spatial frequency sensitivity is a risk factor for moderate to severe DR [OR: 1.556 (1.116, 2.168), 1.388 (1.066, 1.806), 1.476 (1.139, 1.912)]. The first-order and the second-order high spatial frequency sensitivity are significantly positively correlated with glycated hemoglobin (r = 0.105, p = 0.015 and r = 0.119, p = 0.005, respectively).ConclusionVisual motion sensitivity especially for the second-order high spatial frequency stimuli emerges as a significant predictor of DR in T2DM, offering a sensitive diagnostic tool for early detection.

The process of formation of aromatic components for agarwood in Aquilaria sinensis is closely related to endophytic fungi and the result of complex multiple long-term joint interactions with them. However, the interactions between the aromatic components and endophytic fungi remain unclear during the formation of agarwood. In this study, precise mixed solution of hormones, inorganic salts, and fungi was used to induce its formation in A. sinensis, and sample blocks of wood were collected at different times after inoculation. This study showed that the aromatic compounds found in the three treatments of A. sinensis were primarily chromones (31.70–33.65%), terpenes (16.68–27.10%), alkanes (15.99–23.83%), and aromatics (3.13–5.07%). Chromones and terpenes were the primary components that characterized the aroma. The different sampling times had a more pronounced impact on the richness and diversity of endophytic fungal communities in the A. sinensis xylem than the induction treatments. The species annotation of the operational taxonomic units (OTUs) demonstrated that the endophytic fungi were primarily composed of 18 dominant families and 20 dominant genera. A linear regression analysis of the network topology properties with induction time showed that the interactions among the fungal species continued to strengthen, and the network structure tended to become more complex. The terpenes significantly negatively correlated with the Pielou evenness index (p

Abstract The EP300-ZNF384 fusion gene is an oncogenic driver in B-cell acute lymphoblastic leukemia (B-ALL). In the present study, we demonstrated that EP300-ZNF384 substantially induces the transcription of IL3RA and the expression of IL3Rα (CD123) on B-ALL cell membranes. Interleukin 3 (IL-3) supplementation promotes the proliferation of EP300-ZNF348-positive B-ALL cells by activating STAT5. Conditional knockdown of IL3RA in EP300-ZF384-positive cells inhibited the proliferation in vitro, and induced a significant increase in overall survival of mice, which is attributed to impaired propagation ability of leukemia cells. Mechanistically, the EP300-ZNF384 fusion protein transactivates the promoter activity of IL3RA by binding to an A-rich sequence localized at -222/-234 of IL3RA. Furthermore, forced EP300-ZNF384 expression induces the expression of IL3Rα on cell membranes and the secretion of IL-3 in CD19-positive B precursor cells derived from healthy individuals. Doxorubicin displayed a selective killing of EP300-ZNF384-positive B-ALL cells in vitro and in vivo. Collectively, we identify IL3RA as a direct downstream target of EP300-ZNF384, suggesting CD123 is a potent biomarker for EP300-ZNF384-driven B-ALL. Targeting CD123 may be a novel therapeutic approach to EP300-ZNF384-positive patients, alternative or, more likely, complementary to standard chemotherapy regimen in clinical setting.

The application of high-density and high-performance micro thermoelectric devices is still in its infancy, mainly restricted by the low performance of Bi2Te3-based thick film as well as the limited device integration. In this study, we proposed a dynamic regulation strategy to simultaneously strengthen the thermoelectric and mechanical properties for n-type Bi2Te3-based thick films. The effects of growth temperature and time on thermoelectric properties have been firstly explored. As the thermoelectric properties exhibit consistent degradation with increasing thickness at static growth temperature, an effective rising temperature method is introduced to dynamically regulate the nucleation rate and growing diffusion ability. Thus, the grain refinement with compact texture structure leads to a relatively large carrier mobility (77.1 cm2·V−1·s−1) and appropriate concentration (5.25 × 1019 cm−3) as well as further 12% improvement of power factor with an average value up to 12.0 μW·cm−1·K−2 over a wide temperature ranging from 313 K to 453 K. Furthermore, significant enhancement of mechanical property is also achieved with high elastic modules (56.03 GPa), hardness (0.63 GPa) and large energy dissipation capacity to prevent micro-cracks. This study provides a practical solution with dynamic temperature control to fabricate high-performance Bi2Te3 thick films with enhanced mechanical property and processing feasibility for micro thermoelectric devices.

Abstract Ulcerative colitis (UC) is a chronic, recurrent inflammatory bowel disease. UC confronts with severe challenges including the unclear pathogenesis and lack of specific diagnostic markers, demanding for identifying predictive biomarkers for UC diagnosis and treatment. We perform immune infiltration and weighted gene co-expression network analysis on gene expression profiles of active UC, inactive UC, and normal controls to identify UC related immune cell and hub genes. Neutrophils, M1 macrophages, activated dendritic cells, and activated mast cells are significantly enriched in active UC. MMP-9, CHI3L1, CXCL9, CXCL10, CXCR2 and S100A9 are identified as hub genes in active UC. Specifically, S100A9 is significantly overexpressed in mice with colitis. The receiver operating characteristic curve demonstrates the excellent performance of S100A9 expression in diagnosing active UC. Inhibition of S100A9 expression reduces DSS-induced colonic inflammation. These identified biomarkers associated with activity in UC patients enlighten the new insights of UC diagnosis and treatment.

Abstract Background Annulus fibrosis (AF) defects have been identified as the primary cause of disc herniation relapse and subsequent disc degeneration following discectomy. Stem cell-based tissue engineering offers a promising approach for structural repair. Menstrual blood-derived mesenchymal stem cells (MenSCs), a type of adult stem cell, have gained attention as an appealing source for clinical applications due to their potential for structure regeneration, with ease of acquisition and regardless of ethical issues. Methods The differential potential of MenSCs cocultured with AF cells was examined by the expression of collagen I, SCX, and CD146 using immunofluorescence. Western blot and ELISA were used to examine the expression of TGF-β and IGF-I in coculture system. An AF defect animal model was established in tail disc of Sprague-Dawley rats (males, 8 weeks old). An injectable gel containing MenSCs (about 1*106/ml) was fabricated and transplanted into the AF defects immediately after the animal model establishment, to evaluate its repairment properties. Disc degeneration was assessed via magnetic resonance (MR) imaging and histological staining. Immunohistochemical analysis was performed to assess the expression of aggrecan, MMP13, TGF-β and IGF-I in discs with different treatments. Apoptosis in the discs was evaluated using TUNEL, caspase3, and caspase 8 immunofluorescence staining. Results Coculturing MenSCs with AF cells demonstrated ability to express collagen I and biomarkers of AF cells. Moreover, the coculture system presented upregulation of the growth factors TGF-β and IGF-I. After 12 weeks, discs treated with MenSCs gel exhibited significantly lower Pffirrmann scores (2.29 ± 0.18), compared to discs treated with MenSCs (3.43 ± 0.37, p

Multi-label feature selection, an essential means of data dimension reduction in multi-label learning, has become one of the research hotspots in the field of machine learning. Because the linear assumption of sample space and label space is not suitable in most cases, many scholars use pseudo-label space. However, the use of pseudo-label space will increase the number of model variables and may lead to the loss of sample or label information. A multi-label feature selection scheme based on constraint mapping space regularization is proposed to solve this problem. The model first maps the sample space to the label space through the use of linear mapping. Second, given that the sample cannot be perfectly mapped to the label space, the mapping space should be closest to the label space and still retain the space of the basic manifold structure of the sample space, so combining the Hilbert-Schmidt independence criterion with the sample manifold, basic properties of constraint mapping space. Finally, the proposed algorithm is compared with MRDM, SSFS, and other algorithms on multiple classical multi-label data sets; the results show that the proposed algorithm is effective on multiple indicators.

Abstract Model predictive control (MPC)‐based permanent magnet synchronous motor (PMSM) drive system has high dependence on parameter accuracy, while the traditional single observer architecture makes it difficult to solve the multi‐parameter observation problem. The authors propose the hybrid observer architecture for MPC in this paper. By constructing an adaptive parameter observer and a sliding mode observer (SMO) working in parallel, the variable exchange mechanism between the observers is designed and the current prediction model is reconstructed. The sensorless control of the PMSM under parameter uncertainty is achieved without affecting the dynamic and steady‐state performance. Compared with the single SMO architecture, the proposed algorithm improves the position identification precision under the uncertainty of the motor resistance and inductance, reducing the dependence of model parameters and improving the performance of sensorless MPC under parameter uncertainty. The experimental results verify the effectiveness of the proposed algorithm.

Abstract A rotary motor combined with fibrous string demonstrates excellent performance because it is powerful, lightweight, and prone to large strokes; however, the stiffness range and force-generating capability of twisted string transmission systems are limited. Here, we present a variable stiffness artificial muscle generated by impregnating shear stiffening gels (STGs) into a twisted string actuator (TSA). A high twisting speed produces a large impact force and causes shear stiffening of the STG, thereby improving the elasticity, stiffness, force capacity, and response time of the TSA. We show that at a twisting speed of 4186 rpm, the elasticity of an STG-TSA reached 30.92 N/mm, whereas at a low twisting speed of 200 rpm, it was only 10.51 N/mm. In addition, the STG-TSA exhibited a more prominent shear stiffening effect under a high stiffness load. Our work provides a promising approach for artificial muscles to coactivate with human muscles to effectively compensate for motion.