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At present, the application scenarios based on BIM+GIS technology are widely used in various infrastructure industries. However, in the process of 2D to 3D transformation, the application scenarios of multi-source heterogeneous data fusion in the reconstruction and expansion projects of long lines and highways have not yet been studied. This paper focuses on the reconstruction and expansion project of long-line expressway, classifies the data according to the characteristics of the project, establishes the model coding suitable for the whole life cycle, and proposes a model coding processing method based on json mapping form, which improves the maintenance of the model and coding. This paper proposes a set of data lightening methods for the whole process, aiming at data lightening for terrain and structural models with large volumes, and realizing the load lightening capability after large volumes of data enter the platform. At the same time, in order to ensure the consistency of model information data content and spatial location accuracy, a set of BIM and GIS data coupling verification method and a positioning method of coordinate system transformation between new and old structures are established. Finally, the application value of multi-source heterogeneous data fusion is verified through the reconstruction and expansion project data of a long expressway. The results show that the whole life cycle encoding mode using json mapping form improves the usability of the model and encoding. The lightweight processing of large data improves the loading capability of data.

Abstract S-nitrosylation (SNO) modification, a nitric oxide (NO)-mediated post-translational modification (PTM) of proteins, plays an important role in protein microstructure, degradation, activity, and stability. Due to the presence of reducing agents, the SNO modification process mediated by NO derivatives is often reversible and unstable. This reversible transformation between SNO modification and denitrification often influences the structure, activity, and function of proteins. The reversibility of SNO modifications also poses a challenge when verifying changes in the biological functions of proteins. Moreover, SNO modification of key signaling pathway proteins, such as caspase-3, NF-κB, and Bcl-2, can affect tumor proliferation, invasion, and apoptosis. The SNO-modified proteins play important roles in both promoting and inhibiting cancer, which indirectly confirms the duality and complexity of SNO modification functions. This article reviews the biological significance of various SNO-modified proteins in different cancers, providing a theoretical basis for determining whether the related changes of SNO-modified proteins are universal in cancers. Additionally, this review presents a comprehensive and detailed summary of the evolution of detection methods for SNO-modified proteins, providing a possible methodological basis for future research on SNO-modified proteins.

Small wetlands are essential for preserving global biodiversity, yet they are frequently neglected in conservation strategies due to vague definitions and a lack of research attention. In this study, we conducted thirty-six surveys via the point count method in the Xiaohongxiang Wetland, Anning City, Yunnan Province, China, from November 2023 to June 2024. We aimed to evaluate the impact of various habitats surrounding Xiaohongxiang Wetland (wetlands, villages, farmlands, cherry plantations and pine forests) on the taxonomic, functional and phylogenetic diversity of avian species and investigate the significance of these habitats for ecological conservation and restoration efforts. A total of 62 species were recorded. Small wetlands are vital for supporting common waterbirds, but may not safeguard rare species effectively. While cherry plantations and pine forests enhance avian diversity near wetlands, their low functional diversity could limit the ecological niches available to birds. This indicates that monoculture plantations might restrict the habitat variety needed for a diverse bird community. Our study found no clear phylogenetic clustering or overdispersion amongst bird species across habitats, suggesting that community assembly is shaped by competitive exclusion, habitat filtering and neutral processes. Despite a limited sample size, our results highlight a gap between taxonomic and functional diversity, indicating that multidimensional biodiversity metrics are essential for thoroughly evaluating wetland restoration and habitat impacts on bird diversity.

Abstract In random uncertain motor parameter identification field, there is low identification efficiency and ill-conditioned data coming from the second iteration involved in the uncertainty propagation and surrogate model between the motor parameters and the performance response. In this paper, the fourth-order moment method and trust region model management technology are combined to reduce the dependence of the surrogate model accuracy and improve the computational efficiency. In the framework, the inner layer calculates the cumulative probability under different motor performance response thresholds based on the fourth-order moment method, and obtain the probability density function of the calculated motor performance response. The outer layer transforms the random uncertain motor parameters identification into a deterministic optimization problem by minimizing the probability distribution between the calculated and the measured motor performance response. In the outer layer optimization, the trust region model management technology is used to divide the search interval of the entire parameter to be identified into a series of trust regions, construct a surrogate model on the trust region to calculate the motor performance response, and continuously update the trust region by comparing the response residuals between the calculated and measured motor performance response, so that the motor parameters to be identified continue to approach the interval where true values are located. At the same time, the genetic intelligent technology is introduced to further reduce the calculation cost. Finally, the probability distribution of random uncertain motor parameters is obtained according to the identified mean, standard deviation, skewness and kurtosis coefficients. The numerical results in the example verify that the random uncertain motor parameter identification can be effectively achieved by the proposed method.

Banana de-handing is an important part of banana post-harvesting operation. The traditional artificial de-handing model has problems such as labor intensity, inaccurate cutting, uneven cutting surface, unstable catching, and damage of banana fruit, etc. The mapping relationship between the characteristic parameters of the movement posture of the cutter and the influencing factors of the contact stress of banana crown cutting in unstructured environments, and the changing rules of the bumping contact stress of complex multi-shaped banana fruit with the physical property parameters of the cushioning material are the theoretical and technical difficulties that urgently need to be solved in the realization of banana mechanical de-handing. The future research (research on the coupling mechanism of visual cognition-mechanism cutting and low-destructive catching method of full-field continuous de-handing of bananas under multi-constraint scenarios) should: (1) create a database of banana crown, obtain the optimal banana crown recognition model, develop a recognition and locating system of the cutting line of banana crown and obtain its spatial location information; (2) establish the discrete element mechanical model of banana crown and the interaction model between banana crown and the cutter, clarify the stress change and the force wave transmission characteristics of the cutting process, construct the multi-objective optimization equation of the cutting performance, obtain the best combination of cutting parameters, and ascertain the mechanisms of synergistic locating and continuous cutting of banana crown; (3) establish the contact mechanical model of banana fruit drop-bump, parse the bumping characteristics between banana fruit and cushioning material, construct mathematical equations to quantitatively assess damage results, and determine the detract catching method of banana fruit that matches the de-handing mode in multi-constraint scenarios. This study showed that the real-time identification and spatial positioning of fruit, the mechanical properties of crown and the optimization of cutting performance, the damage mechanism of fruit and its loss-reducing harvesting method are the three key breakthroughs in realizing the robotization of de-handing. The current bottleneck problems and future research directions of intelligent banana de-handing were pointed out in this paper, which can provide a theoretical basis for the optimal design of banana de-handing devices and provide technical support for promoting the practical application of intelligent de-handing equipment.

Skin aging is an increasingly prominent topic in the context of healthy aging. During the aging process, the skin’s barrier function diminishes, its water content decreases, wrinkles begin to form, and changes occur in the gut microbiota composition. However, the relationship between gut microbiota and skin aging remains unclear. In this study, we explored skin rejuvenation in aged mice through fecal microbiota transplantation (FMT) using feces from young mice. The results demonstrated enhanced water retention, thickened stratum corneum, increased collagen content, and improved epithelial cell differentiation in aged mice following FMT. Notably, FMT particularly increased the abundance of Lactobacillus and Lactococcus in aged mice, which were nearly undetectable in untreated aged mice. Non-targeted and targeted metabolomics analyses indicated that FMT significantly elevated levels of tryptophan (Trp) and its microbiota metabolites (e.g., indole-3-lactic acid (ILA)) in the feces and serum of aged mice. Both Trp and ILA appeared to rejuvenate aged skin by activating the aryl hydrocarbon receptor (AhR) to promote epidermal cell differentiation. In conclusion, FMT from young mice rejuvenated aged skin via Trp-metabolizing bacteria (Lactobacillus and Lactococcus) and Trp-derived metabolites, suggesting that interventions targeting Trp metabolites may effectively improve skin aging.

Abstract Background Diabetes, occasionally diagnosed in orthodontic patients, can impede orthodontic tooth movement (OTM) by accumulating advanced glycation end products (AGEs) in the periodontium. This accumulation impairs the osteogenic differentiation of periodontal ligament stem cells (PDLSCs) due to alterations in the force-loaded microenvironment, yet the underlying mechanisms remain elusive. Methods Bioinformatics analysis of GSE112122 identified alterations in the mechanical regulation of histone methylation enzyme Lysine Demethylase 6B (KDM6B). OTM models were established in healthy and Nicotinamide/ Streptozotocin-induced type II diabetic rats. The impact of AGEs on mechanically induced osteogenesis and its correlation with KDM6B were evaluated by assessing the therapeutic effects of periodontal ligament injections of the AGEs/RAGE inhibitor FPS-ZM1. To investigate transcriptomic changes, we extracted human PDLSCs, which were subjected to RNA sequencing following the overexpression of KDM6B. Experimental validation further identified potential self-reinforcing loops and their associated antioxidative mechanisms. Results Mechanical forces upregulated KDM6B expression and function in PDLSCs, modulating extensive downstream osteogenesis-related transcriptional changes. Experiments with AGEs-treated and FPS-ZM1-treated samples demonstrated that AGEs impaired osteogenesis by compromising KDM6B mechanical responsiveness. A positive feedback loop between KDM6B and Wnt pathways was identified, inhibited by AGEs. This loop regulated superoxide dismutase 2 (SOD2), facilitating antioxidative stress and preventing stem cell ageing. Conclusions This study elucidates a novel mechanism by which AGEs influence the osteogenic process and antioxidative capacity of PDLSCs through the KDM6B/Wnt self-reinforcing loop under orthodontic force. Targeting the AGE/RAGE pathway or enhancing KDM6B may enhance orthodontic treatments for diabetic patients.

Abstract Acute kidney injury (AKI) is a common clinical problem, and patients who survive AKI have a high risk of chronic kidney disease (CKD). The acute protective effects of Cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors in AKI have been examined, there is still relatively little known regarding the impact of acute CDK4/6 inhibition on the chronic sequence of AKI. Therefore, we utilized the CDK4/6 inhibitor Palbociclib to examine the long-term effects of CDK4/6 inhibition in a rodent model of ischemic AKI. Palbociclib (Palb) was administered during the acute stage or post the acute stage of AKI and mice were sacrificed 21 days post injury. We found that Palb could cause renal senescence and renal fibrosis. Furthermore, dasatinib (D) plus quercetin (Q) were used to eliminate senescent cells in ischemic AKI murine model and Palb was administered post the treatment of D + Q. We found that Palb could reverse the senolytic and antifibrotic effects induced by D + Q, which indicates that the profibrotic effect of Palb could be ascribed to its pro-senescent effects. Our results demonstrate that CDK4/6 inhibitors treatment might be deleterious on the chronic sequence of AKI.

Abstract Background The distribution of fat and muscle mass in different regions of the body can reflect different pathways to mortality in individuals with diabetes. Therefore, we investigated the associations between whole‐body and regional body fat and muscle mass with cardiovascular disease (CVD) and non‐CVD mortality in type 2 diabetes (T2D). Methods Within the National Health and Nutrition Examination Survey 1999–2006, 1417 adults aged ≥50 years with T2D were selected. Dual‐energy X‐ray absorptiometry was used to derive whole‐body, trunk, arm, and leg fat mass and muscle mass indices (FMI and MMI). Mortality data until 31 December 2019 were retrieved from the National Death Index. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated from Cox proportional hazard models. Results A total of 1417 participants were included in this study (weighted mean age [standard error]: 63.7 [0.3] years; 50.5% female). Over a median follow‐up of 13.6 years, 797 deaths were recorded (371 CVD‐related and 426 non‐CVD deaths). Higher FMI in the arm was associated with increased risk of non‐CVD mortality (fourth quartile [Q4] vs. first quartile [Q1]: HR 1.82 [95% CI 1.13–2.94]), whereas higher FMI in the trunk or leg was not significantly associated with CVD or non‐CVD mortality. Conversely, higher arm MMI was associated with a lower risk of both CVD (Q4 vs. Q1: HR 0.51 [95% CI 0.33–0.81]) and non‐CVD (Q4 vs. Q1: HR 0.56 [95% CI 0.33–0.94]) mortality. There was a significant interaction between smoking status and arm FMI on non‐CVD mortality (P for interaction = 0.007). Higher arm FMI was associated with a higher risk of non‐CVD mortality among current or former smokers (Q4 vs. Q1: HR 2.67 [95% CI 1.46–4.88]) but not non‐smokers (Q4 vs. Q1: HR 0.85 [95% CI 0.49–1.47]). Conclusions Fat mass and muscle mass, especially in the arm, are differently associated with CVD and non‐CVD mortality in people with T2D. Our findings underscore the predictive value of body compositions in the arm in forecasting mortality among older adults with T2D.

Abstract Background Arthritis notably elevates mortality risk. It remains unclear whether the cardiovascular health (CVH) metrics improves the risk of all-cause mortality in patients with all types of arthritis. Methods This study data from the National Health and Nutrition Examination Survey to probe the link between CVH and all-cause mortality among arthritis sufferers in the United States. CVH evaluation employed the Life's Essential 8 metrics. Mortality outcomes were scrutinized using Cox proportional hazard regression models. Additionally, a restricted cubic spline analysis delineated the linear relationship between CVH and mortality. The study also delved into the singular impact of each CVH component on mortality. Results In the cohort of 5919 patients with arthritis, improved CVH was linked to lower all-cause mortality. Specifically, each 10-point increment in CVH score was associated with a substantial decline in all-cause mortality risk [unadjusted hazard ratio (HR): 0.77, 95% Confidence Interval (95% CI): 0.71–0.83, P

Nowadays, high-strength press-hardened steels (PHS) have gained wide applications in automotive body-in-white owing to excellent mechanical properties. Nevertheless, the fatigue properties of high-strength PHS and associated failure mechanisms have not been clearly revealed, which restricts their potential applications in other parts of automobiles involving fluctuating and repetitive stresses, such as wheels or beams. In this work, the fatigue behavior of 1900 and 2000 MPa grade PHS is systematically studied, with the main focus on the associated deformation and fatigue cracking mechanisms. The fatigue behavior of these two steels is similar, and the ratio of fatigue strength to tensile strength is around 0.5. The fatigue damage mechanism of high-strength PHS is dominated by surface cracking, as the fine martensite structures reduce the stress concentration and cracking at small-sized inclusions. This work can provide guidance for the application of high-strength PHS in alternating loads scenarios.

ObjectivesTransforming growth factor β1 (TGFβ1)-interleukin 11 (IL11) is a newly found critical signaling pathway in fibrotic diseases such as Graves’ orbitopathy (GO). It has now been confirmed that enhanced glycolysis plays a key role in the pathogenesis of GO. However, little is known about the relationship between glycolysis and IL11-mediated fibrosis in GO. This study aimed to identify the relationship between glycolysis and TGFβ1-IL11 signaling pathway and investigate the role of IL11 in glycolysis-facilitated fibrosis in GO.MethodsOrbital connective tissues were collected from GO and control patients. Primary orbital fibroblasts (OFs) were cultured from clinical tissues. Patient-derived xenografts were established via intraorbital transplantation of GO orbital tissue in humanized NCG mice. Protein levels were measured using Capillary Western Immunoassay (WES). Small interfering RNA (siRNA) was used to construct transfected OF strains. Lactate production was measured to assess glycolysis status. Animal models were assessed by T2-weighted magnetic resonance (MR) scan. Immunohistochemistry staining was applied to patients’ orbital connective tissues.ResultsOrbital connective tissues were collected from GO patients. Immunohistochemical (IHC) staining of GO tissues revealed the phenomenon of pyruvate dehydrogenase kinase 2 (PDK2)-enhanced glycolysis and upregulated IL11-IL11Rα pathway. In vitro experiments showed successful induction of fibrosis of patient-derived orbital fat/connective tissues, which could be alleviated by dichloroacetic acid (DCA). MRI images and analysis of hematoxylin and eosin (HE) and Masson-stained section demonstrated enhanced glycolysis in GO, facilitating fibrosis of the orbital tissue. Targeting PDK2 decreased IL11 expression to suppress fibrosis. In vivo experiment confirmed anti-fibrotic effect of inhibition of glycolysis.ConclusionsPDK2-enhanced glycolysis exacerbates fibrosis via IL11-IL11Rα signaling pathway, shedding light on a potential therapeutic role of metabolic modulators such as DCA in GO treatment.

Objective: The aim of this paper is to discover differentially expressed genes related to ferroptosis (DEFRGs) in patients with ST-segment elevation myocardial infarction (STEMI) and to construct a reliable prognostic signature that incorporates key DEFRGs and easily accessible clinical factors. Methods: We did a systematic review of Gene Expression Omnibus datasets and picked datasets SE49925, GSE60993, and GSE61144 for analysis. We applied GEO2R to find DEFRGs and overlapped them among the picked datasets. We performed functional enrichment analysis to explore their biological functions. We built an optimal model with least absolute shrinkage and selection operator (LASSO) penalized Cox proportional hazards regression. We tested the clinical value of the signature with survival analysis, ROC curve, decision curve analysis and a prognostic nomogram. We also confirmed the model externally with plasma samples from our center's patients. Results: A prognostic signature combining three overexpressed DEFRGs (ACSL1, ACSL4, TSC22D3) and two clinical variables (serum creatinine level, Gensini score) was established. The signature effectively classified patients into low- and high-risk groups. Survival analysis, ROC curve analysis, and DCA showed its robust predictive performance and clinical utility of the signature within two years after the onset of the disease. The external validation cohort confirmed the significant difference in major adverse cardiovascular events (MACEs) between the low- and high-risk groups. Conclusion: This study revealed DEFRGs in patients with STEMI and developed a prognostic signature that integrates gene expression levels and clinical factors for stratifying patients and predicting the risk of MACEs.

IntroductionSynbiotics have revealed the possibility of improving constipation through gut microbiota. The synergistic efficacy of Bifidobacterium animalis subsp. lactis BL-99 (BL-99) and fructooligosaccharide (FOS) on constipation have not been investigated.MethodsLoperamide-induced constipated mice model was established to explore the effect of BL-99, FOS, and BL-99+FOS on changes of defecation-related parameters, gut microbiota and metabolites.Results and discussionThe results showed that BL-99, FOS, and BL-99+FOS each alleviated constipation, with the synbiotic showing significant efficacy in the first black stool defecation time, fecal number, fecal weight, and the gastrointestinal transit rate (P < 0.05). Additionally, significant increased in serum 5-HT and IL-10 were observed in the BL-99+FOS group, alongside an increased relative abundance of Lachnospiraceae_NK4A136_group, Blautia, and Clostridium sensu stricto 1, while significantly reducing the relative abundance of Alistipes and Bacteroides. These changes facilitated alterations in short-chain fatty acids (SCFAs) metabolism, and were closely associated with the expression of genes related to the 5-HT pathway and the modulation of serum inflammatory factors. This study provides a theoretical basis for BL-99 and FOS synbiotics to improve constipation by regulating the gut microbiota and metabolites.

Calcification is a self-limiting disease, characterized by the deposition of calcium, causing severe pain, swelling, and movement disorder. It is mainly found in the shoulder joint but has also been reported in other joints such as the wrist, hip, knee, foot, and ankle. However, calcification of the medial collateral ligament (MCL) has been rarely reported. The patient was a 47-year-old female without any trauma, whose chief complaint was pain and impaired flexion–extension of the affected knee joint. The diagnosis was calcification of the MCL, subsequently demonstrated by imaging examination. Conservative treatment was initially attempted, followed by arthroscopic surgery, and the postoperative pathological results confirmed the calcified tendon. The patient had a favorable prognosis 1 month after the procedure. This study demonstrates that arthroscopic surgery can result in effective and swift recovery of clinical outcomes for patients with calcification of the MCL.

Riemerella anatipestifer (RA) is a significant poultry pathogen causing acute septicemia and inflammation. The function of protease RAYM_01812, responsible for gelatin degradation, is unexplored in RA pathogenesis. To elucidate its role, we generated a deletion mutant ΔRAYM_01812 (ΔRAYM) and complementary CΔRAYM_01812 (CΔRAYM) strain and revealed the protease’s role in extracellular gelatinase activity. By expressing full-length 76 kDa RAYM_01812 protein without signal peptide as well as seven partial structural domains fragments, we evidence that the N-terminal propeptide acts as an enzymatic activity inhibitor and it gets cleaved at A112. Also, we show that the β-fold sheet domain is necessary for enhancing the enzymatic protease activity. Sequential auto-proteolysis forms a stable 40 kDa enzyme. Then, testing the strains in duck sera indicated that the absence or presence of RAYM_01812 results in reduced or enhanced bacterial survival, respectively. Furthermore, we found that the protease is able to cleave IgY antibodies as well as the complement factors C3a and C5a, that the protease reduces C3a- or C5a-mediated monocyte chemotaxis, and results in enhanced membrane attack complex (MAC) formation on the surface of ΔRAYM compared to CΔRAYM. This suggests that RAYM_01812 plays a crucial role in protecting against the serum complement-mediated bactericidal effect through inhibiting MAC formation and monocyte chemotaxis. Animal infection assays showed a 1090-fold reduced virulence of ΔRAYM compared to RA-YM, evidenced by decreased tissue loading and weaker histopathological changes. In conclusion, RAYM_01812 acts as a vital virulence factor, enabling host innate immune defence escape through complement killing evasion and monocyte chemotaxis inhibition.

Abstract Background The intrusion of maxillary anterior teeth is often required and there are various intrusion modes with mini-implants in clear aligner treatment. The objective of this study was to evaluate the effectiveness of maxillary anterior teeth intrusion with different intrusion modes, aiming to provide references for precise and safe intrusion movements in clinical practice. Methods Cone-beam computed tomography and intraoral optical scanning data of a patient were collected. Finite element models of the maxilla, maxillary dentition, periodontal ligaments (PDLs), clear aligner (CA), attachments, and mini-implants were established. Different intrusion modes of the maxillary anterior teeth were simulated by changing the mini-implant site (between central incisors, between central and lateral incisor, between lateral incisor and canine), loading site (between central incisors, on central incisor, between central and lateral incisor, between lateral incisor and canine), and loading mode (labial loading and labiolingual loading). Ten conditions were generated and intrusive forces of 100 g were applied totally. Then displacement tendency of the maxillary anterior teeth and CA, and stress of the PDLs were analyzed. Results For the central incisor under condition L14 and for the canine under conditions L11, L13, L23, and L33, the intrusion amount was negative. Under other conditions, the intrusion amount was positive. The labiolingual angulation of maxillary anterior teeth exhibited positive changes under all conditions, with greater changes under linguoincisal loading. The mesiodistal angulation of canine exhibited positive changes under labial loading, while negative changes under linguoincisal loading except for condition L14. Conclusions The intrusion amount, labiolingual and mesiodistal angulations of the maxillary anterior teeth were affected by the mini-implant site, loading site, and loading mode. Labial and linguoincisal loading may have opposite effects on the intrusion amount of maxillary anterior teeth and the mesiodistal angulation of canine. The labiolingual angulation of the maxillary incisors would increase under all intrusion modes, with greater increases under linguoincisal loading.

Abstract Background Cardiometabolic diseases (CMDs) including type 2 diabetes, heart disease, and stroke have been linked to a higher risk of dementia. We examined whether high levels of cognitive reserve (CR) can attenuate the increased dementia risk and brain pathologies associated with CMDs. Methods Within the UK Biobank, 216,178 dementia-free participants aged ≥ 60 were followed for up to 15 years. Baseline CMDs and incident dementia were ascertained from medical records, medication use, and medical history. Latent class analysis was used to generate an indicator of CR (low, moderate, and high) based on education, occupational attainment, confiding in others, social contact, leisure activities, and television watching time. A subsample (n = 13,663) underwent brain MRI scans during follow-up. Volumes of total gray matter (GMV), hippocampus (HV), and white matter hyperintensities (WMHV) were ascertained, as well as mean diffusivity (MD) and fractional anisotropy (FA) in white matter tracts. Results At baseline, 43,402 (20.1%) participants had at least one CMD. Over a mean follow-up of 11.7 years, 6,600 (3.1%) developed dementia. The presence of CMDs was associated with 57% increased risk of dementia (HR 1.57 [95% CI 1.48, 1.67]). In joint effect analysis, the HRs of dementia for people with CMDs and moderate-to-high CR and low CR were 1.78 [1.66, 1.91] and 2.13 [1.97, 2.30]), respectively (reference: CMD-free, moderate-to-high CR). Dementia risk was 17% lower (HR 0.83 [0.77, 0.91], p

Abstract DNA N6-adenine methylation (6mA) has recently gained importance as an epigenetic modification in eukaryotes. Its function in lineages with high levels, such as early-diverging fungi (EDF), is of particular interest. Here, we investigated the biological significance and evolutionary implications of 6mA in EDF, which exhibit divergent evolutionary patterns in 6mA usage. The analysis of two Mucorales species displaying extreme 6mA usage reveals that species with high 6mA levels show symmetric methylation enriched in highly expressed genes. In contrast, species with low 6mA levels show mostly asymmetric 6mA. Interestingly, transcriptomic regulation throughout development and in response to environmental cues is associated with changes in the 6mA landscape. Furthermore, we identify an EDF-specific methyltransferase, likely originated from endosymbiotic bacteria, as responsible for asymmetric methylation, while an MTA-70 methylation complex performs symmetric methylation. The distinct phenotypes observed in the corresponding mutants reinforced the critical role of both types of 6mA in EDF.

Abstract Assessing the impact of past and future urban land expansion on ecosystem services (ESs) is essential for the sustainable management of urban landscapes. Despite recent progress, it remains challenging to determine the influence mechanism of different urbanization stages and areas on ESs and their trade-offs/synergies. Here, we analyzed the responses of four ESs and their trade-offs/synergies to the spatial and temporal differentiation of urbanization in the Su-Xi-Chang region of China from 1990 to 2050. The results showed that the relationship between ESs and urbanization followed a U-shaped curve from 1990 to 2050. Between 1990 and 2020, urbanization weakened trade-offs and enhanced lose-lose situations, exhibiting an S-shaped curve. From 2020 to 2050, lose-lose situations are expected to diminish, and the curve is projected to display a downward trend. Our findings suggest the implementation of compact urban development, sustainable agricultural practices, reforestation, and the conversion of farmland to lakes.

Objective Percutaneous vertebroplasty (PVP) is currently the most common surgical procedure for unstable Kummell disease (KD), but cement loosening or displacement often occurs after PVP. We had been using percutaneous pediculoplasty (PPP) or a self-developed bone cement bridging screw system to avoid this severe complication. This study intends to compare these novel surgical procedures through a 2-year follow-up evaluation. Methods From May 2017 to May 2021, 77 patients with single-level unstable KD were included in the PPP group, and 42 patients received the PVP-bone cement bridging screw system were included in the screw group. The changes in the vertebral body index (VBI), bisegmental Cobb angle, visual analogue scale (VAS) and Oswestry Disability Index (ODI) and the cement loosening rate and displacement rate at different follow-up time points were used to evaluate the clinical efficacy. Results There was no significant difference in VBI or bisegmental Cobb angle between the 2 groups (p > 0.05) before operation, immediately after operation and at 6-month follow-up, while at 1-year and 2-year postoperative evaluations, the screw group had higher VBI and bisegmental Cobb angle than the PPP group (p < 0.05). Before operation, immediately after operation, at 6-month and 1-year follow-up, there was no significant difference in VAS or ODI score between the 2 groups (p > 0.05), while at 2-year follow-up, the screw group still had higher VAS and ODI scores than the PPP group (p < 0.05). No bone cement displacement occurred in both groups, but the rate of bone cement loosening was 14.29% in group PPP, and 0 in screw group (p < 0.05). Conclusion This 2-year follow-up study shows that the PVP-bone cement bridging screw system combined therapy had better midterm treatment efficacy than the PVP-PPP combined therapy in patients with unstable KD, and the bone cement bridging screw system is a preferred therapy with better anti cement loosening ability.

Objectives: The American Heart Association defined cardiovascular–kidney–metabolic (CKM) syndrome as a novel multi-stage disorder. We examined the associations of CKM stages with premature mortality and the role of social determinants of health (SDOHs). Design: A prospective cohort study. Setting and participants: A nationally representative sample of US adults from NHANES 1999–2018. Measurements: CKM included 5 stages (stages 0–4), reflecting progressive pathophysiology. Premature mortality (deaths before 75 years) were ascertained via linkage to the National Death Index with follow-up until 2019. Cox proportional-hazards models adjusted for age, sex, race/ethnicity, medical history, and other confounding factors were used to calculate the hazard ratios (HR) and 95% CIs for CKM-mortality associations. Results: Among 27,909 participants (mean age 49.7 years, 49.0% females), 1762 premature deaths occurred over a median follow-up of 8.3 years. Compared with stage 0, the adjusted HRs for all-cause premature mortality at CKM stages 1–4 were 0.88 (95% CI 0.66–1.17), 1.31 (0.99–1.73), 1.94 (1.31–2.87), and 2.19 (1.61–2.98), respectively. For CVD premature mortality, the adjusted HRs for CKM stages 1–4 were 1.12 (0.46–2.72), 1.74 (0.71–4.28), 3.93 (1.53–10.12), and 6.48 (2.95–14.20), respectively. Among adults at CKM stages 3–4, unfavorable SDOHs, particularly not living with a partner, low family income, lack of private health insurance, unemployment, or ≥2 cumulative SDOHs (4.16, 95% CI 3.35–5.18) were associated with increased all-cause premature mortality. Among those at CKM stages 0–2, unfavorable SDOHs were also related to increased premature mortality. Conclusion: CKM stages 3–4, but not stages 1–2, were associated with increased risks of premature mortality compared with stage 0. The risks were increased by unfavorable SDOHs across CKM stages.

The growing demand for automation in the apple-harvesting industry remains challenging due to the complex and dynamic nature of orchard environments. This study presents an enhanced deep learning model designed to improve the accuracy and adaptability of recognition algorithms for robotic arm-based harvesting. Specifically, an optimized You Only Look Once (YOLO) v8n model was developed by integrating a dilation-wise residual–dilated re-parameterization block module, a generalized feature pyramid network, and the Scylla Intersection-over-Union loss function. The enhanced model was trained and evaluated on a comprehensive dataset, achieving precision, recall, F1 score, and mAP50 values of 81.43 %, 68.48 %, 74.40 %, and 81.68 %, respectively. These results indicate improvements of 1.06 %, 1.42 %, 1.28 %, and 1.61 % over the original YOLOv8n, while preserving comparable model parameters, computational efficiency, and detection speed. Furthermore, the enhanced model demonstrated superior overall performance compared to YOLOv5, YOLOv6, and RT-DETR. To validate its adaptability and robustness, the enhanced model was rigorously tested against the original YOLOv8n model diverse conditions, including varying growth stage, lighting environments, field of view, and levels of occlusion. In outdoor field experiments conducted under cloudy, low-light, and artificial lighting conditions, the model achieved localization errors of 2.43 mm (X-axis), 3.70 mm (Y-axis), and 1.28 mm (Z-axis), representing reductions of 19.27 %, 12.67 %, and 23.05 %, respectively. Furthermore, counting accuracy improved to 69.39 %, reflecting a 2.42 % increase over the original model. The results demonstrate the enhanced model's reliable performance and heightened precision for robotic arm-based apple harvesting in complex and challenging orchard environments. The study also provides a comprehensive analysis of the model's strengths, limitations, and avenues for future research. Ultimately, this work contributes to advancing agricultural automation, paving the way for smarter, more efficient, and sustainable farming practices.

BackgroundRapid economic growth in China has led to significant resource and environmental challenges, particularly in less economically developed regions. This study aims to identify effective strategies for achieving green, low-carbon development in these regions during the economic transition.MethodsWe employed the Fuzzy-Set Qualitative Comparative Analysis (fsQCA) method to scrutinize the impact of economic, demographic, industrial, and technological factors on low-carbon development across a selection of Chinese provinces, including Qinghai, Hunan, Beijing, Shanghai, Tianjin, Hainan, and Chongqing. This approach facilitates a nuanced exploration of the multifaceted determinants of low-carbon progress within the regional contexts of China.ResultsThe study identified three distinct paths to low-carbon development, each with unique prioritization characteristics. These paths are the traditional early low-carbon path, the semi-modernized mid-carbon path, and the post-modernized low-carbon path. Each path offers tailored strategies for less developed regions to enhance their environmental innovation capacity and global competitiveness.ConclusionThis research contributes a novel perspective for regional sustainable development in China by offering tailored low-carbon development strategies for less developed regions. The findings suggest that region-specific strategies, aligned with developmental stages and characteristics, are essential for ensuring balanced economic, social, and environmental development.

Chronic colonic inflammation might result in increased cell proliferation that poses risk of colitis-associated cancer(CAC), an aggressive subtype of colorectal cancer. This study aimed to investigate dietary intervention effect and mechanism of chitooligosaccharide(COS) on azoxymethane(AOM)/dextran sulfate sodium(DSS)-induced CAC development in mice. COS at dose of 500 mg/kg markedly suppressed colonic levels of tumor necrosis factor(TNF)-α, interleukin(IL)-1β, and IL-6 in CAC mice. Compared to CAC model controls, the number of colonic epithelial cells expressing Ki-67 and the colonic expression levels of cyclin D1 were decreased in COS-treated CAC mice. COS administration significantly down-regulated expression of micro(mi)RNA-155, toll-like receptor(TLR)4, nuclear factor-kappaB(NF-κB), phosphorylated signal transducer and activator of transcription protein 3(pSTAT3), and regenerating islet derived 3 gamma(Reg3g), whereas up-regulated the suppressors of cytokine signaling 1 (SOCS1) expression in CAC colons. Overall, COS exerted protective activity against AOM/DSS-induced colitis-associated carcinogenesis, mechanism of which was associated with its anti-proliferation effect possible via regulating miRNA-155/TLR4/Reg3g pathway.

Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease characterized by the progressive destruction of the neuromuscular junction (NMJ) and the degeneration of motor neurons, eventually leading to atrophy and paralysis of voluntary muscles responsible for motion and breathing. NMJs, synaptic connections between motor neurons and skeletal muscle fibers, are extremely fragile in ALS. To determine the effects of early electroacupuncture (EA) intervention on nerve reinnervation and regeneration following injury, a model of sciatic nerve injury (SNI) was first established using SOD1G93A mice, and early electroacupuncture (EA) intervention was conducted at Baihui (DU20), and bilateral Zusanli (ST36). The results revealed that EA increased the Sciatic nerve Functional Index, the structural integrity of the gastrocnemius muscles, and the cross-sectional area of muscle fibers, as well as up-regulated the expression of acetylcholinesterase and facilitated the co-location of α7 nicotinic acetate choline receptors and α-actinin. Overall, these results suggested that EA can promote the repair and regeneration of injured nerves and delay NMJ degeneration in SOD1G93A-SNI mice. Moreover, analysis of the cerebral cortex demonstrated that EA alleviated cortical motor neuron damage in SOD1G93A mice, potentially attributed to the inhibition of the cyclic GMP-AMP synthase-stimulator of interferon genes pathway and the release of interferon-β suppressing the activation of natural killer cells and the secretion of interferon-γ, thereby further inhibiting microglial activation and the expression of inflammatory factors. In summary, EA delayed the degeneration of NMJ and mitigated the loss of cortical motor neurons, thus delaying disease onset, accompanied by alleviation of muscle atrophy and improvements in motor function in SOD1G93A mice.

The study of groundwater evolution is of great significance for water resource protection and management, groundwater pollution control, and ecological environment protection. Experts and scholars have found that the hydrochemical processes and evolutionary patterns of groundwater are determined by both natural processes and human activities. However, there is relatively little research on the evolution of groundwater in mining areas where human activities have a significant impact. Therefore, to study the main controlling factors affecting the hydrogeochemical evolution of groundwater in mining areas, this paper proposes a method combining mixed ratio calculation and multivariate statistical analysis. Firstly, a total of 40 groundwater samples are classified into six clusters via hierarchical cluster analysis. By comprehensively analyzing the spatial location of the samples, it was found that there was no obvious distribution pattern of groundwater in space. Furthermore, the rationality of the cluster analysis is evaluated via principal component analysis. Next, hydrochemical and isotopic analyses were conducted to determine the source of groundwater in the mining area, and a three terminal element mixing model was established to identify the source of pollutants and calculate the terminal element mixing ratio. The research results indicate that groundwater in mining areas is formed by a mixture of shallow bedrock fissure water, deep bedrock fissure water, and rainwater, and the mixing effect is the main factor affecting the evolution of groundwater in mining areas, with a more significant impact than the depth of groundwater circulation. In addition, different types and degrees of water–rock interaction in different regions have altered the hydrochemical characteristics of groundwater in mining areas, such as the dissolution of multiple minerals, cation exchange, and common ion effects. Based on the above analysis results, a water circulation model for the mining area has been established. The findings of this study not only contribute to the protection of shallow fissure groundwater in the study area, but also provide a basis for investigating the groundwater evolution patterns in other metal mines.

Population mobility is becoming a common phenomenon worldwide which can contribute to the development of individuals and societies. This paper offers that the launch of HSR would facilitate population mobility and spatial disparity. We also find that the HSR connection mainly affects migration of people under 14 and 15 to 64 years old, with no effect on the old over 65. This implies that labor-led family migration has become the main form of movement under the effect of HSR. Furthermore, HSR connection has promoted the concentration of high-skilled labor and the outflow of low-skilled labor in large cities. This study offers useful insights for policy makers that concerns transport infrastructure and the issue of household and workforce structure it raises. JEL: O30, O18, D60, L31.

IntroductionWheat (Triticum aestivum L.) is among themost important crop worldwide. Given a growing population and changing climate, enhancing wheat yield is of great importance. Yield is closely associated with flower and spike development, and E-class genes play important roles in the flower and kernel development of plants. Currently, the absence of systematic analysis on the E gene family hinders our comprehension of their roles in plant growth and development.MethodsIdentify E-class genes based on homologous sequence searches. Analyze the identified E-class genes through a series of gene family analyses. Determine the expression levels of wheat E-class genes by searching public databases. Validate the functions of these genes by transforming them into Arabidopsis. Finally, determine the interactions between the genes through yeast two-hybrid experiments.ResultsFifteen E-class genes (TaEs) were identified in common wheat. Nine E-class genes were detected in five ancestral/closely related species, including one in Aegilops tauschii (AtE), one in T. Urartu (TuEs), two in T. turgidum (TtEs), two in T. dicoccoides (TdEs), and three in T. spelta (TsEs). The 24 E-class genes were classified into three subgroups using a phylogenetic approach. All genes were highly expressed in spikes, and most were only highly expressed at the floret meristem stage. The effects of TaSEP5-A on flowering and growth cycles were confirmed in homologous mutants and transgenic Arabidopsis thaliana. The E-class genes were able to regulate the growth cycle of Arabidopsis. Finally, we confirmed the interactions between TaSEP5-A and other wheat E-class genes based on yeast two-hybrid assays.DiscussionOur findings provide information regarding the E-class genes in wheat and will potentially promote the application of these genes in wheat improvement.

Transformer-based approaches have demonstrated remarkable performance in image processing tasks due to their ability to model long-range dependencies. Current mainstream Transformer-based methods typically confine self-attention computation within windows to reduce computational burden. However, this constraint may lead to grid artifacts in the reconstructed images due to insufficient cross-window information exchange, particularly in image super-resolution tasks. To address this issue, we propose the Multi-Scale Texture Complementation Block based on Spatial Relaxation Transformer (MSRT), which leverages features at multiple scales and augments information exchange through cross windows attention computation. In addition, we introduce a loss function based on the prior of texture smoothness transformation, which utilizes the continuity of textures between patches to constrain the generation of more coherent texture information in the reconstructed images. Specifically, we employ learnable compressive sensing technology to extract shallow features from images, preserving image features while reducing feature dimensions and improving computational efficiency. Extensive experiments conducted on multiple benchmark datasets demonstrate that our method outperforms previous state-of-the-art approaches in both qualitative and quantitative evaluations.

Abstract Background Low immune function after laparoscopic total gastrectomy puts patients at risk of infection-related complications. Low-dose naloxone (LDN) can improve the prognosis of patients suffering from chronic inflammatory diseases or autoimmune diseases. The use of LDN during perioperative procedures may reduce perioperative complications. The purpose of this study was to examine the effects of LDN on endogenous immune function in gastric cancer patients and its specific mechanisms through a randomized controlled trial. Methods Fifty-five patients who underwent laparoscopic-assisted total gastrectomy were randomly assigned to either a naloxone group (n = 23) or a nonnaloxone group (n = 22). Patients in the naloxone group received 0.05 µg/kg-1.h− 1naloxone from 3 days before surgery to 5 days after surgery via a patient-controlled intravenous injection (PCIA) pump, and patients in the nonnaloxone group did not receive special treatment. The primary outcomes were the rates of postoperative complications and immune function assessed by NK cell, CD3+ T cell, CD4+ T cell, CD8+ T cell, WBC count, neutrophil percentage, and IL-6 and calcitonin levels. The secondary outcomes were the expression levels of TLR4 (Toll-like receptor), IL-6 and TNF-α in gastric cancer tissue. Results Compared with the nonnaloxone group, the naloxone group exhibited a lower incidence of infection (in the incision, abdomen, and lungs) (P

Abstract Malocclusion, identified by the World Health Organization (WHO) as one of three major oral diseases, profoundly impacts the dental-maxillofacial functions, facial esthetics, and long-term development of ~260 million children in China. Beyond its physical manifestations, malocclusion also significantly influences the psycho-social well-being of these children. Timely intervention in malocclusion can foster an environment conducive to dental-maxillofacial development and substantially decrease the incidence of malocclusion or reduce the severity and complexity of malocclusion in the permanent dentition, by mitigating the negative impact of abnormal environmental influences on the growth. Early orthodontic treatment encompasses accurate identification and treatment of dental and maxillofacial morphological and functional abnormalities during various stages of dental-maxillofacial development, ranging from fetal stages to the early permanent dentition phase. From an economic and societal standpoint, the urgency for effective early orthodontic treatments for malocclusions in childhood cannot be overstated, underlining its profound practical and social importance. This consensus paper discusses the characteristics and the detrimental effects of malocclusion in children, emphasizing critical need for early treatment. It elaborates on corresponding core principles and fundamental approaches in early orthodontics, proposing comprehensive guidance for preventive and interceptive orthodontic treatment, serving as a reference for clinicians engaged in early orthodontic treatment.

Background: Physical entity interactions in mixed reality (MR) environments aim to harness human capabilities in manipulating physical objects, thereby enhancing virtual environment (VEs) functionality. In MR, a common strategy is to use virtual agents as substitutes for physical entities, balancing interaction efficiency with environmental immersion. However, the impact of virtual agent size and form on interaction performance remains unclear. Methods: Two experiments were conducted to explore how virtual agent size and form affect interaction performance, immersion, and preference in MR environments. The first experiment assessed five virtual agent sizes (25%, 50%, 75%, 100%, and 125% of physical size). The second experiment tested four types of frames (no frame, consistent frame, half frame, and surrounding frame) across all agent sizes. Participants, utilizing a head-mounted display, performed tasks involving moving cups, typing words, and using a mouse. They completed questionnaires assessing aspects such as the virtual environment effects, interaction effects, collision concerns, and preferences. Results: Results from the first experiment revealed that agents matching physical object size produced the best overall performance. The second experiment demonstrated that consistent framing notably enhances interaction accuracy and speed but reduces immersion. To balance efficiency and immersion, frameless agents matching physical object sizes were deemed optimal. Conclusions: Virtual agents matching physical entity sizes enhance user experience and interaction performance. Conversely, familiar frames from 2D interfaces detrimentally affect interaction and immersion in virtual spaces. This study provides valuable insights for the future development of MR systems.

Synthetic Aperture Radar (SAR) is a crucial remote sensing technology with significant advantages. Ship detection in SAR imagery has garnered significant attention. However, existing ship detection methods often overlook feature extraction, and the unique imaging mechanisms of SAR images hinder the direct application of conventional natural image feature extraction techniques. Moreover, oriented bounding box-based detection methods often prioritize accuracy excessively, leading to increased parameters and computational costs, which in turn elevate computational load and model complexity. To address these issues, we propose a novel two-stage detector, Burgs-rooted vertex offset encoding scheme (BurgsVO), for detecting rotated ships in SAR images. BurgsVO consists of two key modules: the Burgs equation heuristics module, which facilitates feature extraction, and the average diagonal vertex offset (ADVO) encoding scheme, which significantly reduces computational costs. Specifically, the Burgs equation module integrates temporal information with spatial data for effective feature aggregation, establishing a strong foundation for subsequent object detection. The ADVO encoding scheme reduces parameters through anchor transformation, leveraging geometric similarities between quadrilaterals and triangles to further reduce computational costs. Experimental results on the RSSDD and RSDD benchmarks demonstrate that the proposed BurgsVO outperforms the state-of-the-art detectors in both accuracy and efficiency.

This paper aims to review the research progress on the processing and utilization of functional rice and explore its potential to enhance human health. The research progress in the processing and utilization of colored rice, low-protein rice, high-resistant starch rice, micronutrient-enriched rice, and bioreactor rice was systematically analyzed through a comprehensive literature review. The impact of various processing techniques on the retention of nutritional components in functional rice was also discussed. This study found that functional rice exhibits great potential in terms of nutritional value, health effects, and market demand. However, issues such as the loss of bioactive components during processing, the maintenance of specific agronomic traits, and market acceptance still need to be addressed. The research and development of functional rice are significant for enriching people’s dietary choices and addressing global malnutrition and chronic disease problems. Future efforts should focus on further optimizing processing techniques and utilizing genetic engineering and molecular breeding technologies to enhance the nutritional value and agronomic traits of functional rice, thus meeting market demands and health objectives.

Alcoholization is an integral part of tobacco processing and volatile compounds are key to assessing tobacco alcoholization. In this study, a total of 154 volatiles from nine categories were determined by gas chromatography-ion mobility spectrometry (GC-IMS) from four grades of tobacco, of which 114 were better identified. And then, the dynamic trends of volatile compounds with significant changes in tobacco alcoholization were analyzed. The relevant volatiles with the alcoholization indices (AIs) (R > 0.8) were screened as indicators of tobacco alcoholization. Cinnamyl isobutyrate, linolenic acid alcohol, propanoic acid-M and propanoic acid-D in all tobacco samples were highly correlated with the AIs and tended to increase during the alcoholization process. In addition, linear discriminant analysis (LDA), back-propagation neural network (BPNN) and random forest (RF) classifiers were constructed for discrimination of tobacco AIs. Three classifiers trained with a combination of 20 volatiles achieved satisfactory results with area under the curve (AUC) of 0.95 (LDA), 0.94 (BPNN) and 0.97 (RF), respectively. The RF classifier gained optimal accuracy of 100 % and 96.1 % for the training and test sets, respectively. The study confirmed that GC-IMS can be used to characterize the changes of volatile compounds in tobacco during alcoholization and combined with machine learning to achieve the determination of AIs. The results of the study may provide a new means for the tobacco industry to monitor the alcoholization process and determine the degree of alcoholization.

Programmed cell death (PCD) is a fundamental biological process for maintaining cellular equilibrium and regulating development, health, and disease across all living organisms. Among the various types of PCD, apoptosis plays a pivotal role in numerous diseases, notably cancer. Cancer cells frequently develop mechanisms to evade apoptosis, increasing resistance to standard chemotherapy treatments. This resistance has prompted extensive research into alternative mechanisms of programmed cell death. One such pathway is oncosis, characterized by significant energy consumption, cell swelling, dilation of the endoplasmic reticulum, mitochondrial swelling, and nuclear chromatin aggregation. Recent research suggests that oncosis can impact conditions such as chemotherapeutic cardiotoxicity, myocardial ischemic injury, stroke, and cancer, mediated by specific oncosis-related proteins. In this review, we provide a detailed examination of the morphological and molecular features of oncosis and discuss various natural or small molecule compounds that can induce this type of cell death. Additionally, we summarize the current understanding of the molecular mechanisms underlying oncosis and its role in both normal physiology and pathological conditions. These insights aim to illuminate future research directions and propose innovative strategies for leveraging oncosis as a therapeutic tool against human diseases and cancer resistance.

Background Neuroinflammatory responses are closely associated with poststroke prognosis severity. This study aimed to develop a predictive model, combining inflammation‐derived markers and clinical indicators, for distinguishing functional outcomes in patients with subacute ischemic stroke. Methods and Results Based on activities of daily living assessments, ischemic stroke participants were categorized into groups with little effective (LE) recovery and obvious effective (OE) recovery. Initial biocandidates were identified by overlapping differentially expressed proteins from proteomics of clinical serum samples (5 LE, 5 OE, and 6 healthy controls) and differentially expressed genes from an RNA sequence of the ischemic cortex in middle cerebral artery occlusion mice (n=3). Multidimensional validations were conducted in ischemia–reperfusion models and a clinical cohort (15 LE, 11 OE, and 18 healthy controls). Models of robust biocandidates combined with clinical indicators were developed with machine learning in the training data set and prediction in another test data set (15 LE and 11 OE). We identified 194 differentially expressed proteins (LE versus healthy controls) and 174 differentially expressed proteins (OE versus healthy controls) in human serum, and 5121 differentially expressed genes (day 3) and 5906 differentially expressed genes (day 7) in middle cerebral artery occlusion mice cortex. Inflammation‐derived biomarkers TIMP1 (tissue inhibitor metalloproteinase‐1) and galactosidase‐binding protein LGLAS3 (galectin‐3) exhibited robust increases under ischemic injury in mice and humans. TIMP1 and LGALS3 coupled with clinical indicators (hemoglobin, low‐density lipoprotein cholesterol, and uric acid) were developed into a combined model for differentiating functional outcome with high accuracy (area under the curve, 0.8). Conclusions The combined model is a valuable tool for evaluating prognostic outcomes, and the predictive factors can facilitate development of better treatment strategies.

The fascial space of the oral and maxillofacial region contains loose connective tissues, which possess weak anti-infection ability and are often prone to infection, leading to acute suppurative inflammation and sepsis through blood. Although antibiotic use can reduce the probability of bacterial infections, owing to the emergence of antibiotic-resistant bacteria, the search for new antimicrobial drugs is imminent. Herein, we report a metal–organic framework (MOF) antibacterial material designed and synthesized with gallium (Ga) as the central atom, which possesses significant antibacterial, anti-inflammatory, and antioxidant effects. Our data suggested that GA-based MOFs (Ga–MOFs; 1 μg/mL) could sufficiently kill Porphyromonas gingivalis, Streptococcus pyogenes, and Staphylococcus aureus. Ga–MOFs exhibited a bactericidal effect against these three pathogens by disrupting biofilm formation, exopolysaccharide production, and bacterial membrane integrity. In addition, we found that 1 μg/mL of Ga–MOFs was not cytotoxic to human oral epithelial cell (HOEC) lines and it significantly reduced the adhesion of the three pathogens to HOEC. Ga–MOFs protect macrophages from excessive oxidative stress by scavenging excess intracellular reactive oxygen species and upregulating antioxidant gene levels, thereby enhancing cellular antioxidant defense. In addition, Ga–MOFs can promote the transformation of macrophages from the proinflammatory phenotype to the anti-inflammatory phenotype, thereby protecting oral health. Herein, novel Ga–MOF materials were chemically synthesized for therapeutic applications in oral infections, which provides new ideas for the development of novel nonantibiotic drugs to accelerate patient recovery.

Abstract The dried rhizomes of Coptis chinensis hold significance in Chinese medicine. Monocropping C. chinensis under the shade of a manmade scaffold, the primary planting mode, poses a threat to the ecological balance. In recent years, the practice of C. chinensis–Cunninghamia lanceolata understory cultivation has gained prevalence in southwest China. However, there is no evidence to suggest that understory cultivation enhances the viability, yield, or isoquinoline alkaloid content of C. chinensis. This study examined the physiological properties, yield indicators, and isoquinoline alkaloid content to investigate variations in C. chinensis in response to understory cultivation. Transcriptome analysis was conducted to elucidate potential mechanisms driving these alterations. The results indicate that understory cultivation significantly enhances the viability, yield, and levels of epiberberine, palmatine, and berberine in C. chinensis while reducing coptisine content. Transcriptomic analyses identified 2062 upregulated and 1853 downregulated genes in the understory cultivation system. Pathways such as “phenylpropanoid biosynthesis,” “zeatin biosynthesis,” “photosynthesis,” “tyrosine metabolism,” “isoquinoline alkaloid biosynthesis,” and “starch and sucrose metabolism” exhibited significant enrichment of differentially expressed genes (DEGs). DEGs involved in these pathways were thoroughly analyzed. INV, BGL-2, BGL-4, SPS-2, AMY-3, Psb B, Psb R, Psb S, Psa D, Psa E, Psa H, Psa O, Pet C, Pet H, deta, and b exhibited significant positive correlations with plant fresh weight, aboveground fresh weight, and underground fresh weight. 6-OMT-2 and COMT1-3 displayed significant positive correlations with coptisine content, but negative correlations with epiberberine, palmatine, and berberine content. ZOG-1, ZOG-3, TAT, PPO, POD-13 and UGT 73C5-1 showed noteworthy positive correlations with berberine content. Conversely, MIFH, POD-4, POD-5, and POD-8 displayed significant positive correlations with epiberberine, palmatine, and berberine content. POD-5, and POD-7 were significantly negatively correlated with coptisine content. Furthermore, gene expression levels determined by qRT–PCR aligned with the transcriptomic sequencing results, confirming the reliability of the transcriptomic findings. The results of this study contribute evidence elucidating potential mechanisms through which C. chinensis responds to understory cultivation. Graphical Abstract

The purpose of this study was to investigate the effect of parental autonomy support on adolescents’ exercise adherence and the combined mediating effects of psychological resilience and coping style. A total of 478 male adolescents were evaluated using the Parental Autonomy Support Scale (PASS), the Connor-Davidson Resilience Scale (CD-RISC), the Coping Inventory for Competitive Sport (CICS), and the Scale of Exercise Adherence (SEA). The combined mediating effects of resilience and coping style were validated through hierarchical regression and bootstrap analysis. The results showed that: (1) parental autonomy support had a significant positive effect on exercise adherence in adolescents; (2) resilience and coping style mediated the relationship between parental autonomy support and exercise adherence. Parental autonomy support can not only directly promote exercise adherence in adolescents, but also indirectly promote it through the combined mediating effects of resilience and coping style. The mediating effect model constructed in this study demonstrates the internal mechanism through which parental autonomous support can have a positive influence on exercise adherence. It provides valuable information that can be used to promote exercise adherence among male Korean adolescents.

In order to play the important role of safety culture in accident prevention, we use the method of safety culture improvement based on accident causation “2-4” model (24Model) to study the status quo of safety culture construction in a coal enterprise and put forward improvement measures. Firstly, the applicability of the safety culture level improvement method in our country under the vision of 24Model is clarified. Then, starting with the current situation of safety culture level and safety concepts, we carry out practical research. Finally, the improvement measures are put forward. The results show that the safety culture level of the enterprise is generally better than that of the domestic or the same industry with poor safety performance, and worse than that of the enterprise with good safety performance; the enterprise’s safety concepts involves 13 aspects of 32 elements; the first-line workers, monitors, professionals and management of the enterprise have a poor understanding of some elements, and only elements 3, 4, 6, 13 and 16 of these poorly understood elements are reflected in the enterprise’s safety concepts; fourteen improved safety concepts are proposed to improve the enterprise’s safety culture level.

Spectral computed tomography (CT) has a wide range of applications in material discrimination, clinical diagnosis and tissue representation. However, the photon counting detector measurements are subject to serious quantum noise caused by photon starvation, photon accumulation, charge sharing, and other factors, which will lead to a decrease in the quality of the reconstructed image and make clinical diagnosis more difficult. To tackle with this problem, this paper proposes a spectral CT reconstruction technique that exploits the spatial sparsity of inter-channel images and the high correlation of images between different energy channels. Specifically, similar patches from spatial and spectral domains are extracted to form the low-rank tensors. Then the tensor-train rank, which is derived from a well-balanced matricization technique, is adopted to depict the high correlation among different energy channels. To capture the self-similarity of the low-rank tensors, the L0-norm of the image gradient is employed for image smoothing. An efficient algorithm is devised to solve the reconstruction model utilizing the Alternating Direction Method of Multipliers. For the sake of testing and verifying the effectiveness of the proposed algorithm, numerical simulations and real data experiments are conducted. Qualitatively, the designed method demonstrates a clear advantage in image quality over the existing state-of-the-art algorithms. For instance, when taking the full energy bin image as an example, the proposed method reduces the Root Mean Square Error (RMSE) by 52.07%, 38.69%, 35.13%, 12.67%, respectively, compared to the competing methods. Quantitative and qualitative assessment indices have revealed that the suggested method has excellent noise suppression, artifact elimination, and image detail preservation properties.

ObjectiveAn optimal design scheme for the inertial stage structure of the diesel engine intake filter is proposed, in order to meet the requirements of high separation efficiency and low resistance loss at the same time.MethodsFirst, taking the inertial stage of a diesel engine intake filter as the research object, a fusion blade structure was established by the natural fusion of groove and blade. Then, numerical simulation was used to calculate the droplet separation efficiency and resistance loss characteristics, and compare them with commonly used blade structure schemes at present. Finally, the inertial stage performance test of the intake filter was carried out, and the numerical simulation results were verified by the test results.ResultsThe simulation results and test results show that the fusion-type airfoil structure keeps the uniform and continuous distribution of the airflow velocity field and pressure field as much as possible while making full use of inertia to separate droplets, taking into account the requirements of separation performance and resistance performance. The overall performance of the design scheme is optimal. Under standard conditions, the droplet separation efficiency is close to 99.9%, and the resistance loss is about 42 Pa.ConclusionThe design scheme of the blade structure can provide a technical reference for the design of the inertial stage of the filter that takes into consideration the droplet separation efficiency and resistance loss performance.

This article succinctly outlines the requirements for rice quality in Guangdong Province and the role of government regulatory policies in advancing high-quality rice breeding. By collecting the regional trial data of 1 101 rice varieties approved by Guangdong Province from 2004 to 2022, the number of varieties meeting the national or ministerial standards approved in each year were counted, and the progress of high-quality rice breeding in Guangdong was evaluated from the perspectives of quality index, resistance and yield. From 2004 to 2022, 106 varieties (combinations) meeting the quality of national standard (ministerial standard) (9.63% of all approved varieties) level Ⅰ and 320 varieties (combinations) reaching the quality of national standard (ministerial standard) (29.06%) level Ⅱ were approved by Guangdong. Notably, early season varieties exhibited lower quality rates compared with late season varieties. For rice quality traits, early-season trial varieties displayed lower compliance rates in the quality of national standard (ministerial standard) level Ⅱ, with chalkiness and chalky grain rate of 41.8% and 43.5%, respectively; the amylose content compliance rate in early-season trial varieties was only 37.32%, indicating that key improvements should be conducted in these three areas for new variety breeding. The average yield of rice varieties with quality meeting national standard level Ⅱ or above has consistently risen, indicating synergistic improvements in yield and rice quality during the high-quality rice breeding in Guangdong. Varieties meeting the national standard (ministerial standard) level Ⅱ or above also showed promising resistance rates against rice blast disease (85% at medium resistance or above) and bacterial blight disease (22.2% at medium resistance or above). Generally, while the percentage of hybrid rice varieties meeting high-quality standards is increasing, there is still a notable gap compared to conventional rice breeding. The proportion of high-quality rice varieties in Guangdong has been steadily growing, with a positive trend in "excellent, abundant and resistant" varieties. However, further optimization is possible. To cultivate high-quality rice varieties with double resistances, efforts should be put to enhance resistance to bacterial wilt disease. The evaluation and utilization of specific germplasm resources like local varieties should be increased to diversify the genetic background. This approach helps avoid variety homogenization, improves disease and stress resistance and strengthens the synergy between traditional and molecular breeding, enhancing overall breeding efficiency.

Oxidative stress is closely linked to aging. Probiotics, whether viable or heat-inactivated, have shown antioxidant properties; however, their effect and mechanism of action in reducing oxidative stress during aging remains underexplored. This study examined the effects of viable and heat-inactivated Lactiplantibacillus plantarum TY-Y10 (L. plantarum TY-Y10) on D-galactose (D-gal)-induced aging in mice, aiming to uncover potential anti-aging mechanisms. Mice were induced to age with D-gal injections, then treated with sodium ascorbate (positive control) or varying doses of L. plantarum TY-Y10 for eight weeks. After treatment, oxidative stress markers, gut microbiota, and liver health were analyzed. Results showed that L. plantarum TY-Y10 decreased malondialdehyde (MDA) and inflammatory markers while increasing antioxidant levels (glutathione, superoxide dismutase, catalase and glutathione peroxidase). Liver damage was reduced, and expression of Nrf2 and related antioxidant enzymes improved. Additionally, L. plantarum TY-Y10 enhanced the abundance of short-chain fatty acid-producing bacteria, boosting fecal short-chain fatty acid levels. In short, both viable and heat-inactivated L. plantarum TY-Y10 mitigated oxidative stress in aging mice by modulating gut microbiota and activating liver antioxidant pathways through the gut-liver axis.

The structure and physicochemical properties of starch were important factors to determine the quality of foxtail millet. While hybrid foxtail millet has made greater progress in yield, it has made slower progress in quality than conventional foxtail millet with a more complex genetic base, which was jointly influenced by the parents. However, there were no reports on the comparison of the starch structure and physicochemical properties of hybrid foxtail millets and their parents. In this study, the amylose content, morphology structure, granule size distribution, X-ray diffraction, short-range ordered structure, pasting properties, and thermal characteristics of starches derived from Changzagu 466 (466), Changzagu 333 (333), Changzagu 2922 (2922) and their parent materials were analyzed. The results showed that compared with male parents, the starches from three hybrid foxtail millets and their female parents had larger average particle size, d(0.1), d(0.5), and gelatinization enthalpy (ΔH), while the amylose content values of three hybrid foxtail millets were 26.0%, 28.8%, and 28.9%, which were between the parents (25.8~27.1%, 25.4~28.8%, and 23.6~29.5%), with conclusion temperature (Tc) being higher than the parents and having a lower breakdown viscosity. The peak viscosity of Changzagu 466 (466) and Changzagu 2922 (2922) was 5235.5 cP and 5190.8 cP, respectively, lower than that of their parents (5321.0~6006.0 cP and 5257.0~5580.7 cP), while the peak viscosity of Changzagu 333 (333) was 5473.8 cP, falling between the parental values (5337.5~5639.5 cP). The cluster analysis results showed that the starch structure and physicochemical properties of hybrid foxtail millet were significantly different from those of female parents, which were mainly influenced by male parents. The findings of this study will establish a theoretical foundation for the enhancement and innovation of high-quality foxtail millet germplasm resources, as well as the development of high-quality hybrid foxtail millet combinations.