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Abstract Objectives This study was performed to investigate the relationship between hemoglobin, albumin, lymphocyte and platelet (HALP) score and Oxford classification severe tubular atrophy/interstitial fibrosis (T2) in IgA nephropathy (IgAN). Methods The clinical data and pathological findings of patients with IgA nephropathy diagnosed through renal biopsy at Hangzhou Hospital of Traditional Chinese Medicine between June 1, 2019 and May 31, 2022 were retrospectively collected and analyzed. The HALP score was calculated as hemoglobin (g/L) × albumin (g/L) × lymphocytes (/L)/ platelets (/L). According to the quartile of HALP scores in the study population, the subjects were divided into four groups: Quartile 1 ( 53.25). According to the extent of tubular atrophy/interstitial fibrosis, patients were categorized into mild to moderate injury (T0 + T1, ≤ 50%) and severe injury (T2, > 50%). The relationship between HALP score and severe tubular atrophy/interstitial fibrosis was investigated using Spearman's rank correlation coefficient, logistic regression analysis, restricted cubic splines (RCS), and receiver operating characteristic (ROC) curve analysis. Results A total of 895 patients diagnosed with IgAN were included in this study, with an average age of 40.97 ± 12.261 years. Among them, 384 (42.9%) were male and 61 (6.8%) exhibited severe tubular atrophy/interstitial fibrosis. Multifactorial logistic regression analysis revealed that HALP independently influenced T2 (OR = 0.952, 95% CI 0.923–0.982, P = 0.002). Compared to Quartile 1, patients in Quartile 4 exhibited a significantly reduced risk of T2 (OR = 0.205, 95% CI 0.058–0.722, P = 0.014). Restricted cubic splines analysis revealed a linear inverse association between HALP and T2 risk (nonlinear P = 0.896). Furthermore, the receiver operating characteristic curve demonstrated that HALP possessed predictive value for T2 (AUC = 0.693, Jorden index = 0.324), and the cutoff value of HALP score is 36.54. Conclusions The risk of severe renal tubular atrophy/interstitial fibrosis is higher in IgAN patients with low HALP. HALP greater than 36.54 May reduce the risk of severe tubular atrophy/interstitial fibrosis.

Abstract Triple-negative breast cancer (TNBC) continues to pose a significant obstacle in the field of oncology. Dysregulation of lipid metabolism, notably upregulated ketogenesis, has emerged as a hallmark of TNBC, yet its role in metastasis has been elusive. Here, by utilizing clinical specimens and experimental models, the study demonstrates that increased ketogenesis fosters TNBC metastasis by promoting the up-regulation of β-hydroxybutyrate (β-OHB), a key ketone body. Mechanistically, β-OHB facilitates β-hydroxybutyrylation (Kbhb) of Calpastatin (CAST), an endogenous calpain (CAPN) inhibitor, at K43, blocking the interaction with CAPN and subsequently promoting FAK phosphorylation and epithelial‒mesenchymal transition (EMT). In conclusion, the study reveals a novel regulatory axis linking ketogenesis to TNBC metastasis, shedding light on the intricate interplay between metabolic reprogramming and tumor progression.

Home appliance manufacturers are increasingly focusing on building smarter home systems by incorporating user feedback to enhance products and services. To support this, we designed a federated learning (FL) system that includes a reputation mechanism to help manufacturers leverage customer data to train machine learning models. First, it downloads the initial model provided by the manufacturer and trains it with local data. Then, it asks customers to sign their models and upload them to the blockchain. To protect customer privacy, we implemented differential privacy and introduced a new normalization technique. In addition, we also attract more customers to participate in crowdsourced FL tasks by rewarding their contributions, thereby ensuring that the datasets for model training are robust and diverse. This system not only promotes collaboration between customers and manufacturers, but also facilitates the development of more responsive and smarter home appliance systems through advanced FL and blockchain technologies.

Abstract Background and purpose Magnetic resonance imaging is indispensable for the preoperative diagnosis of glioma. This study aimed to investigate the role of the apparent diffusion coefficient values as predictors of survival in patients with gliomas. Methods and materials A retrospective analysis was conducted on 101 patients with gliomas who underwent surgery between 2015 and 2020. Diffusion-weighted MRI was performed before the surgery. The regions of interest were categorized into parenchymal area, non-enhancing peritumoral area, and necrotic or cystic area. All the patients were divided into three subgroups: the parenchyma group, the non-enhancing peritumoral signal abnormality group, and the necrosis or cyst group. Univariate and multivariate analyses were performed using COX regression. Results In the parenchymal group, Ki67, P53, IDH, and the high or low ADC values were identified as independent prognosticators for disease-free survival, while Ki67, IDH, and the high or low ADC values for overall survival. In the non-enhancing peritumoral signal abnormality group, Ki67, P53, IDH, and the ADC parenchymal area/ADC non−enhancing peritumoral area ratio were identified as independent prognostic factors for disease-free survival, while Ki67, IDH, and the ADC parenchymal area/ADC non−enhancing peritumoral area ratio for overall survival. In the necrosis or cyst group, Ki67 was significantly associated with disease-free survival, while Ki67 and the ADC value of the necrotic or cystic area for overall survival. Conclusions The ADC values, including the ADC value in the parenchymal area, the ADC parenchymal area/ADC non−enhancing peritumoral area ratio, and the ADC value in the necrotic or cystic area, can serve as an efficient and potential index for predicting the survival of patients with glioma.

Abstract Excessive production of reactive oxygen species (ROS) around titanium implants under diabetic conditions causes persistent inflammation, leading to poor osseointegration and even implant failure. Surface modification is an effective way to promote ROS clearance, alleviate inflammation, and stimulate bone formation. In this study, a multifunctional coating is fabricated by introducing cerium (Ce)-containing mesoporous bioactive glass nanoparticles (Ce-MBGNs) onto the titanium surface via an electrophoretic deposition method. The incorporation of Ce-MBGNs remarkably improves surface hydrophilicity by increasing the surface areas. The bioactive ions are appropriately released, thereby promoting mesenchymal stem cell proliferation and differentiation under diabetic conditions. The conversion between Ce(III) and Ce(IV) endows Ce-MBGNs coating with antioxidative nanoenzymes properties to scavenge diabetes-induced ROS, resulting in macrophage polarization towards the anti-inflammatory phenotype. The therapeutic effect of Ce-MBGNs-modified titanium implants is also verified in diabetic rats by inhibiting inflammatory responses and accelerating early osseointegration. Taken together, the findings reveal that the ROS-scavenging and immunomodulation activity of the Ce-MBGNs coating contributes to enhanced osseointegration, and provides a novel implant surface for diabetic patients.

Abstract Background The incidence of secondary tracheal tumours following lung cancer surgery is notably low. Patients with tracheal tumours typically present with symptoms such as coughing, sputum production, haemoptysis, wheezing, stridor, and dyspnoea. In cases of peripheral structure invasion, symptoms may further extend to hoarseness and dysphagia. Initial symptoms may be notably non-distinct. However, the development of pronounced airway symptoms often signifies a critical condition. Case presentation A 70-year-old male with severe chest tightness and asthma was transferred to our hospital for emergency treatment. He had undergone left pneumonectomy for non-small cell carcinoma of the left upper lobe of the lung 3 years prior. The examination confirmed that a secondary tumour originated from the left main bronchus and extended to the carina, occupying 90% of the diameter of the tracheal lumen. To relieve the patient’s emergency airway, we chose right thoracoscopic resection of the tracheal tumour assisted by cardiopulmonary bypass (CPB), which provides extracorporeal lung support and a good surgical field. Conclusion In patients with secondary tracheal tumours after left pneumonectomy for lung cancer, perioperative airway management is challenging for anaesthesiologists, and patients’ oxygenation should receive close attention. This article describes the airway management process of this patient for reference.

Abstract Background The relationship between sedentary time, physical activity, and chronic back pain remains unclear. The study aims to investigate whether sedentary time and physical activity predict chronic back pain and morphological brain changes. Methods This cohort study recruited adults aged 37–73 years enrolled between 2006 and 2010, with follow-up until 2014. The total cohort comprised 33,402 participants (mean age: 54.53). Data were collected on daily sedentary time, physical activity, lifestyle factors, and health outcomes. Results After nearly 8-year follow-up, 3,006 individuals (9.00%) reported chronic back pain in total. Individuals with daily sedentary time exceeding 6 h had a 33% higher risk of chronic back pain compared to those with sedentary time of 2 h or less (RR, 1.33, 95%CI, 1.17–1.52). Sedentary time was also associated with decreased grey matter volume in several brain regions, including bilateral primary somatosensory cortex (S1), secondary somatosensory cortex, putamen, primary motor cortex (M1), insula, hippocampus, amygdala, as well as right supplementary motor area, left medial frontal cortex, and right anterior cingulate cortex (FDR-corrected p-value

【Objective】Grain thickness is one of the controlling factors affecting rice yield and taste quality of rice. QTL mapping for grain thickness in rice was conducted by using recombinant inbred lines (RIL) with the indica-japonica cross (V20B/CPSLO17) genetic background and major QTLs of grain thickness were obtained, providing a scientific basis for the discovery of new grain thickness genes and the development of functional molecular markers.【Method】Based on the highdensity genetic linkage map and the indica-japonica cross genetic background of RIL populations, combined with the grain thickness phenotype data of RIL populations under three different ecological environments (Guiyang, Guizhou in 2020; Guiding, Guizhou in 2021; Sanya, Hainan in 2021), QTL mapping and genetic effect analysis were performed by the ICIM-ADD method of IciMapping 4.0 software.【Result】The study showed that the grain thickness trait in rice exhibited a continuous unimodal distribution under all three ecological environments and was not affected by planting environmental factors significantly. Five grain thickness QTLs (qGT3-1, qGT5-1, qGT5-2, qGT8-1, and qGT10-1) were detected on chromosomes 3, 5, 8, and 10 in rice under the three different ecological environments. The beneficial alleles of these five QTLs were all from the parent V20B, with LOD values ranging from 3.431 to 14.081 and a range of phenotypic contribution rates from 5.479% to 26.483%. Two QTLs (qGT5-1 and qGT5-2) had a phenotypic contribution rate greater than 10%, with qGT5-2 being the only one repeatedly detected in two planting environments (Guiyang, Guizhou in 2020 and Sanya, Hainan in 2021), explaining 26.483% and 14.933% of the population's phenotypic variance, respectively. The physical distance of QTL qGT5-2 on the chromosome was about 3.9 kb, with only one candidate gene (LOC_Os05g07920); the physical distance of qGT8-1 was about 2.3 kb, with only one candidate gene (LOC_Os08g10360).【Conclusion】Grain thickness in rice is a quantitative genetic trait regulated by multiple genes. qGT5-2 is major QTL with stable heredity and high contribution rate for grain thickness, which has significant application potential in the discovery of grain thickness regulatory genes and the breeding of new high-quality and high-yield rice varieties.

Objective Coastal wetlands, a unique type of wetland with complex hydrologic and biogeochemical cycles, have ignificant carbon sequestration potential. Research on soil organic carbon (SOC) is critical for understanding carbon cycle, climatic regulation, and ecosystem health. Methods This study focused on four typical vegetation types grown in the coastal wetlands of Lianyungang, namely, Mudflats, Seepweed, Spartina alterniflora and Reeds. We analyzed the distribution characteristics of soil organic carbon content across different plant communities, and utilized statistical methods such as pearson correlation analysis, redundancy analysis (RDA), and structural equation modeling (SEM) to explore the regulatory effects of plant community characteristics and soil physicochemical properties on soil organic carbon. Particular attention was given to the relationships between environmental factors of coastal wetlands and soil organic carbon content. Results Horizontally, the soil organic carbon content of the different plant communities decreased in the following order: Reeds ((7.79±4.72) g/kg)>Spartina alterniflora ((7.42±3.14) g/kg)>Seepweed ((4.95±3.40) g/kg)>Mudflats ((3.66±1.90) g/kg). Vertically, the soil organic carbon content decreased with increasing depth within 0-50 cm. Additionally, significant correlations were found between SOC content and soil physicochemical properties, as well as plant community characteristics. The results of the redundancy analysis indicate that soil organic carbon content is negatively correlated with BD (bulk density) in different wetland types but is positively correlated with SWC (soil water content), height, diameter, coverage, AGB (above ground biomass) and BGB (below ground biomass). The structural equation model showed that the soil water content was the most important factor affecting soil organic carbon content in coastal wetlands. Conclusion These findings can not only promote a better understanding of coastal wetlands from their ecosystem structure and function but also provide relevant data support for policy making on global climate change.

Abstract Background Low-density lipoprotein cholesterol (LDL-C) is acknowledged as an independent risk factor (IRF) for atherosclerotic cardiovascular disease. Nevertheless, studies on the impact of LDL-C on microvasculature are still scarce. The retina, abundant in microvasculature, can now be examined for microvascular alterations through the novel, non-invasive, and quantitative optical coherence tomography angiography (OCTA) technique. Methods In this cross-sectional study, 243 patients from the geriatric department were recruited (between December 2022 and December 2023). Individuals were classified into four groups based on their LDL-C levels: Group 1 (≤ 1.8 mmol/L), Group 2 (> 1.8 mmol/L to ≤ 2.6 mmol/L), Group 3 (> 2.6 mmol/L to ≤ 3.4 mmol/L), and Group 4 (> 3.4 mmol/L). The OCTA results including retinal vessel density (VD), foveal avascular zone (FAZ) area, macula thickness, and retinal nerve fiber layer (RNFL) thickness were contrasted across these groups. T-tests, analysis of variance, Welch’s tests, or rank-sum tests were employed for statistical comparisons. In cases where significant differences between groups were found, post-hoc multiple comparisons or rank-sum tests were performed for pairwise group comparisons. Spearman’s correlation coefficient was employed to perform bivariate correlation analysis to evaluate the relationship between LDL-C levels and various OCTA measurements. Multivariable regression analysis was used to evaluate the association between LDL-C levels and various OCTA measurements. Linear regression analysis or mixed-effects linear models were applied. Results It was discovered that individuals with LDL-C levels exceeding 2.6 mmol/L (Groups 3 and 4) exhibited reduced VD in the retina, encompassing both the optic disc and macular regions, compared to those with LDL-C levels at or below 2.6 mmol/L (Groups 1 and 2). A negative correlation among LDL-C levels and retinal VD was identified, with r values spanning from − 0.228 to -0.385. Further regression analysis presented β values between − 0.954 and − 2.378. Additionally, no notable disparities were detected among the groups regarding FAZ area, macular thickness, and RNFL thickness. Conclusions The outcomes of this study suggest that elevated LDL-C levels constitute an IRF for decreased VD across the entire retina. Trial registration NCT05644548, December 1, 2022.

Abstract Background Concerns have been raised regarding changes in lipid profiles among patients with chronic hepatitis B (CHB) during tenofovir alafenamide fumarate (TAF) treatment. We aimed to evaluate the effect of TAF treatment on the lipid profiles of patients with CHB. Methods A total of 430 patients with CHB from three hospitals were retrospectively included, including 158 patients treated with TAF and 272 patients treated with tenofovir disoproxil fumarate (TDF). Results In this multicenter cohort, the cumulative incidence of dyslipidemia was notably higher in the TAF group than in the TDF group (P

Abstract Background The nursing industry's stability and progress are adversely affected by the high attrition rate and shortage of nurses; therefore, it is critical to investigate the variables that influence the professional stability of nurses. The sense of professional mission and career success have positive significance for reducing nurses' job burnout. The purpose of this study is to explore the potential mediating role of psychological resilience in this relationship. Methods Self-reported questionnaires were utilized by 335 intensive care unit (ICU) nurses to assess their sense of professional mission, psychological resilience, and career success in this cross-sectional study. A structural equation model was developed to validate the relationship between the variables. Results There is a correlation among sense of professional mission, psychological resilience and career success. Significant mediating effect of psychological resilience exists between sense of professional mission and career success. Conclusions In this study, psychological resilience plays an intermediary role between sense of professional mission and career success, which provides support for further understanding the mechanism between sense of professional mission and career success and bolstering the case for devising comprehensive intervention strategies for psychological resilience. Nursing managers should focus on nurses' sense of professional mission and psychological resilience, and implement strategies to enhance nurses' psychological resilience in order to boost their career success.

Abstract Background Although stroke is prevalent among Chinese, individuals with stroke may become more disabling if they have concomitant neck pain (NP) and low back pain (LBP). However, the prevalence and factors associated with post-stroke spinal pain among Chinese remain unknown. The current study used the 2018 cohort data from the China Health and Aged Care Tracking Survey (CHARLS) to determine the prevalence and factors associated with increased post-stroke NP and LBP in China. Methods The CHARLS study was conducted on four cohorts of nationally representative samples of individuals aged 45 years and above from 30 provincial-level administrative units in China. We used data from the 2018 cohort of the CHARLS survey to determine the prevalence and factors associated with NP and LBP in the non-stroke and post-stroke populations. Participants aged 45 years or older who reported to have NP, and/or LBP were identified. The study was statistically analyzed using t-test, and ANOVA analysis of variance. A multiple logistic regression model was used to identify factors significantly associated with NP and/or LBP in the non-stroke and post-stroke populations. Results A total of 19,816 individuals participated in the 2018 survey. The final inclusion of 17,802 subjects who met the criteria included 16,197 non-stroke and 885 stroke participants. The prevalence of NP and LBP in non-stroke population was 17.80% (95% CI: 17.21–18.39) and 37.22% (95% CI: 36.47–37.96), respectively. The prevalence of NP and LBP in the target stroke population was 26.44% (95% CI: 23.53–29.35) and 45.42% (95% CI: 42.14–48.71), respectively, and the difference was statistically significant (p

Abstract Clear cell renal cell carcinoma (ccRCC) is characterized by a high incidence and mortality rate. Despite advancements in therapeutic interventions, the prognosis for renal cancer patients remains suboptimal. Of late, methylation modifications have emerged as promising molecular targets for tumor assessment and treatment, yet their potential has not been fully investigated in the context of ccRCC. Transcriptomic and clinical data were extracted from The Cancer Genome Atlas, Gene Expression Omnibus, and ArrayExpress databases, leading to the identification of 57 methylation-related genes (MRGs). Utilizing DESeq2 analysis, Cox regression analysis, and the LASSO regression algorithm, a Methylation-Related Risk Score (MARS) was constructed. Cluster analysis, Gene Ontology (GO) analysis, clinical feature analysis, immune infiltration analysis, and mutation analysis were further employed to evaluate the model. Our investigation identified six pivotal prognostic MRGs and established a risk score predicated on m6A/m5C/m1A/m7G regulatory factors. This score was validated across two external cohorts and can be utilized to assess individual immune infiltration statuses and predict responses to immunotherapy. Moreover, cluster analysis delineated two distinct m6A/m5C/m1A/m7G gene clusters. We have developed and validated a robust prognostic signature based on genes associated with m6A, m5C, m1A, and m7G modifications. This gene signature demonstrates significant prognostic value in assessing survival outcomes, clinical characteristics, immune infiltration, and responses to immunotherapy in ccRCC patients. This finding provides valuable insights for refining precision treatment strategies.

Delays in infected wound healing are usually a result of bacterial infection and local inflammation, which imposes a significant and often underappreciated burden on patients and society. Current therapies for chronic wound infection generally suffer from limited drug permeability and frequent drug administration, owing to the existence of a wound biofilm that acts as a barrier restricting the entry of various antibacterial drugs. Here, we report the design of a biocompatible probiotic-based microneedle (MN) patch that can rapidly deliver beneficial bacteria to wound tissues with improved delivery efficiency. The probiotic is capable of continuously producing antimicrobial substances by metabolizing introduced glycerol, thereby facilitating infected wound healing through long-acting antibacterial and anti-inflammatory effects. Additionally, the beneficial bacteria can remain highly viable (>80 %) inside MNs for as long as 60 days at 4 °C. In a mouse model of Staphylococcus aureus-infected wounds, a single administration of the MN patch exhibited superior antimicrobial efficiency and wound healing performance in comparison with the control groups, indicating great potential for accelerating infected wound closure. Further development of live probiotic-based MN patches may enable patients to better manage chronically infected wounds.

Abstract Background Previous evidence suggests that low-quality embryos may send negative signals to the endometrium and affect the receptivity of the endometrium. This study aimed to evaluate the influence of transferring an additional low-quality embryo with a high-quality embryo on the pregnancy outcome. Methods A total of 1506 fresh embryo transfer cycles between January 2018 and June 2020 were included. The patients were separated into two groups: a single embryo transfer group (SET, patients receiving a single high-quality embryo) and a double embryo transfer group (DET, patients receiving a high-quality embryo and a low-quality embryo). Main outcome measures including multiple pregnancy rate and live birth rate were discussed. Overall, in the primary analysis, patients who receive an additional low-quality embryo improved the live birth by 8.7% and multiple pregnancy rate by 10.0%. In women aged less than 35 years, compared with SET, DET increased the birth rate by 6.0% but resulted in a 13.5% increase in multiples. Women of 35 years above, adding a low-quality embryo increased the live birth rate by only 2.2% but increased multiples by 14.7%. In patients with one cycle of ET, the same results were obtained. In patients with multiple cycles of ET and adding a low-quality embryo, the live birth rate was similar to SET but with a 14.7% increase in multiples. Conclusions Compared to DET, we prefer to transfer a high-quality embryo. Nevertheless, in women 35 years or older or in patients with multiple cycles of embryo transfer, adding a low-quality embryo did not significantly improve live birth but increased the multiple rate.

This paper proposes algorithms for computing the reduced Gröbner basis of the vanishing ideal of a finite set of points in the frame of ideal interpolation. We also consider the case that the points have multiplicity conditions. First, we introduce the definition of "reverse" reduced team and compute the interpolation monomial basis of a single point ideal interpolation problem; then we translate the interpolation condition functionals into formal power series via Taylor expansion; this will help convert the general ideal interpolation problem to a single point ideal interpolation problem; and finally, the reduced Gröbner basis is read from formal power series by Gaussian elimination. Our algorithm has a polynomial time complexity, and an example is given to illustrate its effectiveness.

Abstract Objectives To explore the value of radiomic features derived from pericoronary adipose tissue (PCAT) obtained by coronary computed tomography angiography for prediction of coronary rapid plaque progression (RPP). Methods A total of 1233 patients from two centers were included in this multicenter retrospective study. The participants were divided into training, internal validation, and external validation cohorts. Conventional plaque characteristics and radiomic features of PCAT were extracted and analyzed. Random Forest was used to construct five models. Model 1: clinical model. Model 2: plaque characteristics model. Model 3: PCAT radiomics model. Model 4: clinical + radiomics model. Model 5: plaque characteristics + radiomics model. The evaluation of the models encompassed identification accuracy, calibration precision, and clinical applicability. Delong’ test was employed to compare the area under the curve (AUC) of different models. Results Seven radiomic features, including two shape features, three first-order features, and two textural features, were selected to build the PCAT radiomics model. In contrast to the clinical model and plaque characteristics model, the PCAT radiomics model (AUC 0.85 for training, 0.84 for internal validation, and 0.81 for external validation; p 0.05). Conclusion Radiomic feature analysis derived from PCAT significantly improves the prediction of RPP as compared to clinical and plaque characteristics. Radiomic analysis of PCAT may improve monitoring RPP over time. Critical relevance statement Our findings demonstrate PCAT radiomics model exhibited good performance in the prediction of RPP, with potential clinical value. Key Points Rapid plaque progression may be predictable with radiomics from pericoronary adipose tissue. Fibrous plaque volume, diameter stenosis, and fat attenuation index were identified as risk factors for predicting rapid plaque progression. Radiomics features of pericoronary adipose tissue can improve the predictive ability of rapid plaque progression. Graphical Abstract

Abstract A scalable, reusable, and broad-coverage unified material knowledge representation shows its importance and will bring great benefits to data sharing among materials communities. A knowledge graph (KG) for materials terminology, which is a formal collection of term entities and relationships, is conceptually important to achieve this goal. In this work, we propose a KG for materials terminology, named Materials Genome Engineering Database Knowledge Graph (MGED-KG), which is automatically constructed from text corpus via natural language processing. MGED-KG is the most comprehensive KG for materials terminology in both Chinese and English languages, consisting of 8,660 terms and their explanations. It encompasses 11 principal categories, such as Metals, Composites, Nanomaterials, each with two or three levels of subcategories, resulting in a total of 235 distinct category labels. For further application, a knowledge web system based on MGED-KG is developed and shows its great power in improving data sharing efficiency from the aspects of query expansion, term, and data recommendation.

Abstract The discovery of novel two-dimensional (2D) multiferroic materials is attractive due to their potential for the realization of information storage and logic devices. Although many approaches have been explored to simultaneously introduce ferromagnetic (FM) and ferroelectric (FE) orders into a 2D material, the resulting systems are often plagued by weak magnetoelectric (ME) coupling or limited room-temperature stability. Here, we present a superlattice strategy to construct non-centrosymmetric AM2X4 multiferroic monolayers, i.e., intercalating transition metal ions (A) into the tetragonal-like vacancies of transition metal dichalcogenide bilayers (MX2). Starting from 960 intercalated AM2X4 compounds, our high-throughput calculations have identified 21 multiferroics with robust magnetic order, large FE polarization, low transition barrier, high FE/FM transition temperature, and strong ME coupling. According to the origin of magnetism, we have classified them into twelve type-a, seven type-b, and two type-c multiferroics, which exhibit different ME coupling behavior. During the switching of polarization, the reversal of skyrmions chirality, the transition of the magnetic ground state from FM to antiferromagnetic, and the changes in spin-polarized electron distribution were observed in type-a, type-b, and type-c 2D multiferroic materials, respectively. These results substantially expand the family of 2D ferroic materials and pave an avenue for designing and implementing nonvolatile logic and memory devices.

Background: Different risk factors are responsible for the occurrence of coronary artery disease (CAD). Among these, the main factors are dyslipidemia, dysglycaemia, and endothelial inflammation. The aim of the study was to analyze the levels of lipids, glucose, and cytokine in patients with different coronary heart diseases. Methods: A total of 2147 patients diagnosed with coronary atherosclerosis, stable angina, unstable angina, acute non-ST-segment elevation infarction (NSTEMI) and acute ST-segment-elevation myocardial infarction (STEMI) at the Cardiovascular Center of Beijing Tongren Hospital from February 2022 to April 2023. The data were gathered from the medical record system.Nonparametric Wilcoxon test was used for statistical analysis of continuous variables, and chi-square test was used for statistical analysis of categorical variables among multiple groups. Results: Compared with coronary atherosclerosis group, acute myocardial infarction group showed a significant increase in IL-6 level (p

BackgroundThere are numerous symptoms related to cancer and its treatments that can affect the psychosomatic health and quality of life of patients with cancer. The use of electronic symptom management systems (ESMSs) can help patients with cancer monitor and manage their symptoms effectively, improving their health-related outcomes. However, patients’ adhesion to ESMSs decreases over time, and little is known about their real experiences with them. Therefore, it is necessary to gain a deep understanding of patients’ experiences with ESMSs. ObjectiveThe purpose of this systematic review was to synthesize qualitative studies on the experiences of patients with cancer using ESMSs. MethodsA total of 12 electronic databases, including PubMed, Web of Science, Cochrane Library, EBSCOhost, Embase, PsycINFO, ProQuest, Scopus, Wanfang database, CNKI, CBM, and VIP, were searched to collect relevant studies from the earliest available record until January 2, 2024. Qualitative and mixed methods studies published in English or Chinese were included. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement checklist) and the ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) statement were used to improve transparency in reporting the synthesis of the qualitative research. The Critical Appraisal Skills Program (CASP) checklist was used to appraise the methodological quality of the included studies, and a meta-synthesis was conducted to interpret and synthesize the findings. ResultsA total of 21 studies were included in the meta-synthesis. The experiences of patients with cancer using ESMSs were summarized into three major categories: (1) perceptions and attitudes toward ESMSs; (2) the value of ESMSs; and (3) barriers, requirements, and suggestions for ESMSs. Subsequently, 10 subcategories emerged from the 3 major categories. The meta-synthesis revealed that patients with cancer had both positive and negative experiences with ESMSs. In general, patients recognized the value of ESMSs in symptom assessment and management and were willing to use them, but they still encountered barriers and wanted them to be improved. ConclusionsThis systematic review provides implications for developing future ESMSs that improve health-related outcomes for patients with cancer. Future research should focus on strengthening electronic equipment and technical support for ESMSs, improving their functional contents and participation forms, and developing personalized applications tailored to the specific needs and characteristics of patients with cancer. Trial RegistrationPROSPERO CRD42023421730; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=421730

Objective To investigate the impact of urinary iodine concentration (UIC) and post-stimulatory thyroglobulin (ps-Tg) levels on the therapeutic efficacy of differentiated thyroid cancer (DTC) patients after initial radioiodine therapy, and to analyze the validity of these indicators as prognostic factors. Methods A total of 213 DTC patients received initial radioiodine therapy from June 2022 to September 2023. Demographic data and UIC were collected before and after therapy. Thyrotropin, thyroglobulin (Tg), and thyroglobulin antibody levels were assessed. Iodine uptake rate was measured, and therapeutic efficacy was evaluated 6 months post-therapy. Statistical tests were used for data comparison, and logistic regression analysis for response factors. Results Post-therapy UIC and pre-post UIC difference were significantly correlated with Tg levels but not with reaching excellent response (ER) indicated by suppression of Tg levels below 0.2 ug/L. Ps-Tg levels related to therapeutic efficacy, while UIC did not correlate with outcomes. ROC curve analysis found optimal ps-Tg cut-off points for the low-intermediate and high-risk groups classified by primary tumor size, invasion, metastasis, and pathological type. Conclusion Post-treatment UIC and pre-post UIC difference correlate with ps-Tg levels. Ps-Tg levels are an associated factor for DTC, but UIC changes, despite correlation with ps-Tg, are not significantly related to outcomes and cannot be used as a prognostic factor.

BackgroundThe role of long non-coding RNAs (lncRNAs) in the invasion and metastasis of gastric cancer remains largely unclear.MethodsIntegrating transcriptome data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, differentially expressed genes were identified in gastric cancer. Using the Catalogue of Somatic Mutations in Cancer (COSMIC) database-curated gene set, lncRNAs associated with invasion and metastasis were identified. The Cox analyses were performed to identify prognostic lncRNAs. The competing endogenous RNA (ceRNA) regulation network was constructed to identify hub lncRNAs in gastric cancer. Functional and pathway analyses were used to investigate the function of identified lncRNAs. RT-qPCR and Transwell assays were used to investigate the expression in gastric cancer tissues and functions in gastric cancer cell lines.ResultsBased on GEO and TCGA databases, 111 differentially expressed lncRNAs were identified between gastric cancer and normal samples. A total of 43 lncRNAs were significantly correlated with hallmark genes of cancer invasion and metastasis. Among them, as a hub lncRNA in the invasion-related ceRNA regulation network, FAM87A showed potential regulation on MAPK signaling and transforming growth factor (TGF) signaling cascade, such as TGFB2, TGFBR1, and TGFBR2. Furthermore, FAM87A also showed a significant correlation with cell adhesion molecules, such as Integrin alpha 6 (ITGA6) and Contactin-1 (CNTN1). RT-qPCR experiments showed that FAM87A expression was upregulated in gastric cancer tissues compared to normal samples (n = 30). Transwell assays showed that FAM87A knockdown inhibited the migration and invasion abilities of gastric cancer cells in vitro. Notably, clinical data analysis showed that lncRNA FAM87A could be an independent factor for the overall survival of patients with gastric cancer.ConclusionLncRNA FAM87A may play a pivotal role in regulating migration and invasion of gastric cancer cells. FAM87A could be a potential biomarker for the overall survival of patients with gastric cancer.

Abstract Background Clear cell renal cell carcinoma (ccRCC), the most common pathological subtype of kidney cancer, accounts for approximately 70% to 80% of all cases. Histone deacetylase 10 (HDAC10) belongs to the HDAC class IIb subgroup, one of the histone deacetylases (HDAC) family. Previous studies suggest that HDAC10 may regulate the development of multiple tumor types. The specific molecular mechanisms employed by HDAC10 in the etiology of ccRCC still need to be discovered. Methods The analysis included examining HDAC10 expression levels and their clinical importance within a cohort of inpatients and ccRCC patients documented in the Tumor Genome Atlas (TCGA). Moreover, the biological functions and underlying molecular mechanisms of HDAC10 were investigated. Results HDAC10 showed increased expression in ccRCC tumor tissues. Subsequent analysis revealed overexpression of HDAC10 was associated with advanced clinical phenotype and unfavorable prognosis. The absence of HDAC10 significantly decreased ccRCC cell proliferation and migration capabilities. Mechanistic research suggests that HDAC10 may promote RCC development by activating the Notch-1 pathway and downregulating PTEN expression levels. Conclusion In summary, HDAC10 can modulate critical biological processes in ccRCC, including proliferation, migration, and apoptosis. Notably, the Notch-1 pathway and PTEN serve as crucial signaling pathways and target genes through which HDAC10 regulates the progression of ccRCC. These findings offer a novel outlook for ccRCC treatment.

Abstract Background Prediction of lymph node metastasis (LNM) is critical for individualized management of papillary thyroid carcinoma (PTC) patients to avoid unnecessary overtreatment as well as undesired under-treatment. Artificial intelligence (AI) trained by thyroid ultrasound (US) may improve prediction performance. Methods From September 2017 to December 2018, patients with suspicious PTC from the first medical center of the Chinese PLA general hospital were retrospectively enrolled to pre-train the multi-scale, multi-frame, and dual-direction deep learning (MMD-DL) model. From January 2019 to July 2021, PTC patients from four different centers were prospectively enrolled to fine-tune and independently validate MMD-DL. Its diagnostic performance and auxiliary effect on radiologists were analyzed in terms of receiver operating characteristic (ROC) curves, areas under the ROC curve (AUC), accuracy, sensitivity, and specificity. Results In total, 488 PTC patients were enrolled in the pre-training cohort, and 218 PTC patients were included for model fine-tuning (n = 109), internal test (n = 39), and external validation (n = 70). Diagnostic performances of MMD-DL achieved AUCs of 0.85 (95% CI: 0.73, 0.97) and 0.81 (95% CI: 0.73, 0.89) in the test and validation cohorts, respectively, and US radiologists significantly improved their average diagnostic accuracy (57% vs. 60%, P = 0.001) and sensitivity (62% vs. 65%, P

Background: Consumption of hydrogen-rich water (HRW) has been shown to have anti-inflammatory and metabolic-modulatory benefits. Objective: A randomized, placebo-controlled trial was conducted to assess the potential blood uric acid-lowering effects of HRW consumption with different doses (low and high doses) and duration (4 and 8 weeks) in patients with hyperuricemia. Methods: The Placebo group consumed three bottles of ordinary drinking water (330 mL per bottle), the Low-HRW group consumed two bottles of HRW (330 mL per bottle, H2 ≥ 4.66 mg/L) and a bottle of ordinary water, and the High-HRW group consumed three bottles of HRW daily for 8 weeks. The primary outcome was the blood uric acid levels following different time points (4 and 8 weeks) compared to baseline. Results: A total of 100 participants completed the entire trial (32 in Placebo, 35 in Low-HRW, and 33 in High-HRW groups). The high-dose of HRW was more effective than low-dose HRW in controlling blood uric acid. Following an 8-week period, the High-HRW group exhibited a significant reduction in blood uric acid levels compared to the baseline (488.2 ± 54.1 μmol/L to 446.8 ± 57.1 μmol/L, P

Abstract Topological magnetic states are promising information carriers for ultrahigh‐density and high‐efficiency magnetic storage. Recent advances in two‐dimensional (2D) magnets provide powerful platforms for stabilizing various nanometer‐size topological spin textures within a wide range of magnetic field and temperature. However, non‐centrosymmetric 2D magnets with broken inversion symmetry are scarce in nature, making direct observations of the chiral spin structure difficult, especially for antiferromagnetic (AFM) skyrmions. In this work, it is theoretically predicted that intrinsic AFM skyrmions can be easily triggered in XY‐type honeycomb magnet NiPS3 monolayer by alloying of Cr atoms, due to the presence of a sizable Dzyaloshinskii–Moriya interaction. More interestingly, the diameter of the AFM skyrmions in Ni3/4Cr1/4PS3 decreases from 12 to 4.4 nm as the external magnetic field increases and the skyrmion phases remain stable up to an external magnetic field of 4 T. These results highlight an effective strategy to generate and modulate the topological spin texture in 2D magnets by alloying with magnetic element.

Abstract Accurately and quickly predicting hydrogen embrittlement performance is critical for the service of metal materials. However, due to multi‐source heterogeneity, existing hydrogen embrittlement data are missing, making it impractical to train reliable machine learning models. In this study, we proposed an ensemble learning training strategy for missing data based on the Adaboost algorithm. This method introduced a mask matrix with missing data and enabled each round of training to generate sub‐datasets, considering missing value information. The strategy first trained a subset of features based on the existing dataset and a selected method and continuously focused on the combination of features with the highest error for iterative training, where the mask matrix of the missing data was used as the input to fit the weights of each base learner using a neural network. Compared with directly modeling on highly sparse data, the predictive ability of this strategy was significantly improved by approximately 20%. In addition, in the testing of new samples, the predicted mean absolute error of the new model was successfully reduced from 0.2 to 0.09. This strategy offers good adaptability to the hydrogen embrittlement sensitivity of different sizes and can avoid interference from feature importance caused by filling data.

CD19 is a surface antigen on B cells that regulates B cell activation and proliferation, participating in B cell signaling. It is expressed in all B cell lineage tumor diseases, making CD19 a significant marker for detecting B cell tumor diseases and an important target for related immunotherapies. In recent years, with the deepening research on canine and feline diseases and the establishment of animal models, the demand for cat CD19 monoclonal antibodies (mAbs) has been steadily increasing. We successfully prepared cat CD19-specific monoclonal antibodies using a KLH-conjugated cat CD19 peptide as an antigen and optimized the antibody production method. The obtained monoclonal antibodies' molecular and cellular affinities were identified using CD19 peptides, eukaryotic overexpressed proteins, and peripheral blood mononuclear cells (PBMCs). The results indicate that the CD19-3H9 and CD19-8A7 monoclonal antibodies prepared in this study specifically bind to the CD19 molecule, demonstrating their suitability for use in ELISA, Western blot, and cell assays. This study successfully produced cat CD19 monoclonal antibodies with specificity and optimized the antibody preparation method, laying the foundation for the diagnosis and targeted drug combination therapy of B cell tumor diseases in both humans and pets.

Devices such as cell phones, vehicles, and smart home systems often generate time-series data that are crucial for developing effective AI applications. However, directly analyzing and using these local data could violate user privacy. Although synthetic data offer a promising alternative to real data, current methods for synthesizing time-series data either require servers to first collect large amounts of real user data or fail to offer adequate privacy protection for training generative models. In order to address the limitations in existing solutions, we introduce FedSTDG, an innovative framework for the distributed synthesis of time-series data under strict local differential privacy (LDP) guarantees. Our approach combines federated learning (FL) with a recurrent Wasserstein autoencoder (RWAE) to train generative models without the need to collect real local data directly. Additionally, we propose an enhanced LDP-FL mechanism that incorporates a private dimension selection algorithm and an adaptive learning rate adjustment algorithm. Our approach substantially reduces privacy risks during FL training and improves the model utility compared to existing LDP-FL methods. Extensive experiments on open-source datasets show that synthetic data generated by our framework can reduce downstream prediction errors by 20% to 85% compared to baseline models under equivalent privacy constraints. Furthermore, the framework offers stronger privacy protection and robustness compared to traditional nonprivate FL mechanisms.

Semisupervised change detection (CD) methods have garnered increasing attention due to their capacity to alleviate the dependency of fully-supervised methods on a large number of pixel-level labels. These methods predominantly leverage generative adversarial network architecture and consistency regularization technology. However, they encounter challenges associated with background noise from cross-temporal images. In this article, we propose a novel multilevel consistency-regularization-based semisupervised CD approach that incorporates Fourier-based frequency transformation and a reliable pseudolabel selection scheme. Specifically, we replace the low-frequency spectrum of one temporal image with a frequency domain transformation derived from the corresponding image in the same bitemporal remote sensing image pair, enhancing the model's capability to discern meaningful changes amidst background noise, thereby contributing to more robust CD. Furthermore, excessively high pseudolabel thresholds in consistency regularization methods may result in the underutilization of valuable unlabeled data. To address this issue, we design a straightforward sigmoid-like function to dynamically adjust the selection threshold for the reliable pseudolabel selection scheme. This strategy takes into consideration the learning status throughout the entire training process, ensuring more effective utilization of unlabeled information. We demonstrate significant performance improvements across three widely-used public datasets, namely, LEVIR-CD, WHU-CD, and CDD. Notably, on the three datasets with only 1% labeled data, our method achieved an $\text{IoU}^{c}$ of 71.29%, 63.90%, and 51.00%, outperforming existing state-of-the-art methods by 2.84%, 1.21%, and 0.98%, respectively. These results robustly substantiate the effectiveness of our approach, showcasing its potential in scenarios where labeled data is limited.

Abstract There are limited therapeutic options for patients with advanced prostate cancer (PCa). We previously found that heat shock factor 1 (HSF1) expression is increased in PCa and is an actionable target. In this manuscript, we identify that HSF1 regulates the conversion of homocysteine to cystathionine in the transsulfuration pathway by altering levels of cystathionine-β-synthase (CBS). We find that HSF1 directly binds the CBS gene and upregulates CBS mRNA levels. Targeting CBS decreases PCa growth and induces tumor cell death while benign prostate cells are largely unaffected. Combined inhibition of HSF1 and CBS results in more pronounced inhibition of PCa cell proliferation and reduction of transsulfuration pathway metabolites. Combination of HSF1 and CBS knockout decreases tumor size for a small cell PCa xenograft mouse model. Our study thus provides new insights into the molecular mechanism of HSF1 function and an effective therapeutic strategy against advanced PCa.

Abstract Multiferroic materials offer a promising avenue for manipulating digital information by leveraging the cross-coupling between ferroelectric and ferromagnetic orders. Despite the ferroelectricity has been uncovered by ion displacement or interlayer-sliding, one-unit-cell of multiferroic materials design and wafer-scale synthesis have yet to be realized. Here we develope an interface modulated strategy to grow 1-inch one-unit-cell of non-layered chromium sulfide with unidirectional orientation on industry-compatible c-plane sapphire. The interfacial interaction between chromium sulfide and substrate induces the intralayer-sliding of self-intercalated chromium atoms and breaks the space reversal symmetry. As a result, robust room-temperature ferroelectricity (retaining more than one month) emerges in one-unit-cell of chromium sulfide with ultrahigh remanent polarization. Besides, long-range ferromagnetic order is discovered with the Curie temperature approaching 200 K, almost two times higher than that of bulk counterpart. In parallel, the magnetoelectric coupling is certified and which makes 1-inch one-unit-cell of chromium sulfide the largest and thinnest multiferroics.

Abstract Purification of ethylene (C2H4) as the most extensive and output chemical, from complex multi-components is of great significance but highly challenging. Herein we demonstrate that precise pore structure tuning by controlling the network hydrogen bonds in two highly-related porous coordination networks can shift the efficient C2H4 separation function from C2H2/C2H4/C2H6 ternary mixture to CO2/C2H2/C2H4/C2H6 quaternary mixture system. Single-crystal X-ray diffraction revealed that the different amino groups on the triazolate ligands resulted in the change of the hydrogen bonding in the host network, which led to changes in the pore shape and pore chemistry. Gas adsorption isotherms, adsorption kinetics and gas-loaded crystal structure analysis indicated that the coordination network Zn-fa-atz (2) weakened the affinity for three C2 hydrocarbons synchronously including C2H4 but enhanced the CO2 adsorption due to the optimized CO2-host interaction and the faster CO2 diffusion, leading to effective C2H4 production from the CO2/C2H2/C2H4/C2H6 mixture in one step based on the experimental and simulated breakthrough data. Moreover, it can be shaped into spherical pellets with maintained porosity and separation performance.

The high lattice thermal conductivity of half-Heuslers (HHs) restricts the further enhancement of their thermoelectric figure-of-merit (ZT). In this study, multiscale scattering centers, such as point defects, dislocations, and nanoprecipitates, are synchronously introduced in a n-type ZrNiSn-based HH matrix through Nb doping and Hf substitution. The lattice thermal conductivity is substantially decreased from 4.55 (for the pristine ZrNiSn) to 1.8 W·m−1·K−1 at 1 123 K via phonon scattering over a broad wavelength range through the adjustment of multiscale defects. This value is close to the theoretically estimated lowest thermal conductivity. The power factor (PF) is enhanced from 3.25 (for the pristine ZrNiSn) to 5.01 mW·m−1·K−2 for Zr0.66Hf0.30Nb0.04NiSn at 1 123 K owing to the donor doping and band regulation via Nb doping and Hf substitution. This can be ascribed to the synergistic interaction between the lowering of the lattice thermal conductivity and retention of the high PF. Consequently, a ZT value of as high as 1.06 is achieved for Zr0.66Hf0.30Nb0.04NiSn at 1 123 K. This work demonstrates that these actions are effective in jointly manipulating the transport of electrons and phonons, thereby improving the thermoelectric performance through defect engineering.

The unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) network, where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint, the system computation latency constraint, and the system communication latency constraint, a joint scheme of bandwidth allocation and UAV 3D trajectory was proposed to minimize the total energy consumption of the network.The corresponding non-convex optimization problem that is difficult to solve was converted into two sub-optimization problems, which are the UAV 3D trajectory optimization subproblem by fixing bandwidth allocation, and the user equipment bandwidth allocation subproblem by fixing UAV 3D trajectory.Experiments demonstrate that the energy consumption of the proposed algorithm is less than that of the other two typical algorithms.Furthermore, the theoretical basis for solving the limited resource and energy problem in UAV-assisted MEC network was provided.

This is an essay in the field of ceramics and composites. For decades, space exploration has been a hot topic. With the launch of Chang'e 5, China officially opened the first extraterrestrial celestial body sampling return journey. The lunar base construction program in China is officially on the agenda. Lunar exploration is the first step for human to conduct deep space exploration, and the utilization of lunar in-situ resources is of great significance for lunar exploration. Additive manufacturing is an effective means to carry out in-situ lunar resource utilization to build a lunar base. This paper describes the basic properties of lunar soil and the characteristics and composition of simulated lunar soil, and focuses on summarizing the current research progress of simulated lunar soil additive manufacturing in China and abroad. Important challenges are presented for the key technology of additive manufacturing for the lunar weathering layer (i.e., lunar soil). The development prospect of additive manufacturing technology and possible ways of implementation are discussed around China's lunar base construction project.

Background: To determine the effect of continuous care based on mobile application on patients' quality of life and self-care ability after mechanical heart valve replacement. Methods: Ninety patients who underwent cardiac mechanical valve replacement in the cardiovascular surgery department of a tertiary general hospital in Guizhou Province from September 2020 to January 2022 were selected for the study. The subjects were randomly divided into a control group and an intervention group using the SPSS25.0 software, with 45 patients in the two groups. The control group received routine nursing care during hospitalization, health education the day before discharge, and regular telephone and outpatient follow-up 6 months after discharge. Based on the control group's care, the intervention group received Mobile APP continuous care for 6 months. The effectiveness of patient's quality of life, medication adherence, international normalized ratio (INR) value compliance rates and self-care ability following mechanical heart valve replacement were evaluated the day before discharge and at the 1, 3 and 6 months after discharge. Results: Scores of quality of life, warfarin medication adherence, and self-care ability rose considerably in the intervention group compared to the control group, and the differences were statistically significant. Conclusion: The mobile phone application (APP) 's continuity of care could improve patients' quality of life, medication adherence, INR value compliance rates, and self-care ability. Clinical Trial Registration: No: ChiCTR2400081250. Registered 27 February, 2024, https://www.chictr.org.cn.

Drylands cover more than 40% of global land surface and will continue to expand by 10% at the end of this century. Understanding the resistance mechanisms of native species is of particular importance for vegetation restoration and management in drylands. In the present study, metabolome of a dominant shrub Campylotropis polyantha in a dry-hot valley were investigated. Compared to plants grown at the wetter site, C. polyantha tended to slow down carbon (C) assimilation to prevent water loss concurrent with low foliar reactive oxygen species and sugar concentrations at the drier and hotter site. Nitrogen (N) assimilation and turn over were stimulated under stressful conditions and higher leaf N content was kept at the expense of root N pools. At the drier site, roots contained more water but less N compounds derived from the citric acid cycle. The site had little effect on metabolites partitioning between leaves and roots. Generally, roots contained more C but less N. Aromatic compounds were differently impacted by site conditions. The present study, for the first time, uncovers the apparent metabolic adaptations of C. polyantha to hostile dryland conditions. However, due to the limited number of samples, we are cautious about drawing general conclusions regarding the resistance mechanisms. Further studies with a broader spatial range and larger time scale are therefore recommended to provide more robust information for vegetation restoration and management in dryland areas under a changing climate.

Tapiscia sinensis Oliv. (T. sinensis), known as the Yingjiao tree, belongs to the Staphyleaceae family. It is a deciduous tree species endemic to China and represents an ancient species from the Tertiary glacial relics, possessing significant ecological and economic value. This study is based on 154 effective distribution points of T. sinensis in China and 12 environmental factors. Using integrated modeling and ArcGIS software (v10.8), the potential geographic distribution of T. sinensis under climate change was predicted to assess its future impact on distribution and ecological niche. Additionally, on-site surveys were conducted to compare the characteristics of T. sinensis forest communities across different habitability zones. The study also proposes conservation strategies based on the influence of climate change on the distribution of T. sinensis and the characteristics of its forest communities. The results indicate that (1) the current highly suitable areas for T. sinensis are primarily located in the municipal regions where Chongqing, Hubei, Hunan, and Guizhou provinces meet, covering an area of 20.44 × 104 km2. (2) In three suitable community categories, T. sinensis is consistently a subdominant species, with the community in moderately suitable areas being the most diverse and exhibiting higher stability and evenness. (3) Under future climate change scenarios, the potential distribution area for T. sinensis will gradually decrease with rising temperatures. It will shift toward northern higher latitude regions, with the degree of ecological niche migration also increasing. (4) Conservation measures for T. sinensis primarily involve in situ and ex situ protection approaches. These results provide a theoretical basis for the scientific management and resource conservation of T. sinensis.

Alzheimer’s disease (AD) is a complicated neurodegenerative condition with two forms: familial and sporadic. The familial presentation is marked by autosomal dominance, typically occurring early in individuals under 65 years of age, while the sporadic presentation is late-onset, occurring in individuals over the age of 65. The majority of AD cases are characterized by late-onset and sporadic. Despite extensive research conducted over several decades, there is a scarcity of effective therapies and strategies. Considering the lack of a cure for AD, it is essential to explore alternative natural substances with higher efficacy and fewer side effects for AD treatment. Bioactive compounds derived from mushrooms have demonstrated significant potential in AD prevention and treatment by different mechanisms such as targeting amyloid formation, tau, cholinesterase dysfunction, oxidative stress, neuroinflammation, neuronal apoptosis, neurotrophic factors, ER stress, excitotoxicity, and mitochondrial dysfunction. These compounds have garnered considerable interest from the academic community owing to their advantages of multi-channel, multi-target, high safety and low toxicity. This review focuses on the various mechanisms involved in the development and progression of AD, presents the regulatory effects of bioactive components with definite structure from mushroom on AD in recent years, highlights the possible intervention pathways of mushroom bioactive components targeting different mechanisms, and discusses the clinical studies, limitations, and future perspectives of mushroom bioactive components in AD prevention and treatment.

Introduction Dementia is a growing public health concern, and providing long-term care for individuals affected by this condition is challenging for their family caregivers. While researchers have explored various intervention options to provide psychological support for dementia caregivers, mentalising imagery therapy (MIT) has gained significant recognition as an effective programme. Despite its significance and effectiveness, there is a lack of comprehensive scoping reviews of MIT in dementia caregiving. Thus, conducting such a review can provide valuable insights into the status and outcomes of MIT, identify gaps in existing research and provide recommendations for a more effective clinical practice.Methods and analysis This study proposes a scoping review conducted according to the Joanna Briggs Institute, Arksey and O’Malley’s methodological framework, as well as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension. PubMed, Web of Science, Embase, Scopus, CINAHL and PsycINFO databases will be searched while grey literature will be retrieved via Google Scholar. Covidence will be used to manage the literature selection process and remove duplicate publications. Two researchers will independently screen the literature according to the inclusion criteria, with any discrepancies resolved through discussions with a third researcher. Data will be presented in a structured tabular format, with a narrative synthesis providing an overview of the findings on the identified research gaps and the effectiveness of MIT in the field of dementia caregiving.Ethics and dissemination In a scoping review, no ethical approval is necessary. The results will be published in a peer-reviewed journal.Trial registration number The scoping review protocol has been registered with Open Science Framework (https://doi.org/10.17605/OSF.IO/FHRG8).

ObjectiveThe haemoglobin, albumin, lymphocyte, and platelet (HALP) score, a convenient and composite laboratory biomarker, can reflect inflammation and systemic nutritional status. This study was performed to investigate the effect of the HALP score on the prognosis of patients with IgA nephropathy (IgAN).MethodsThis is a retrospective single centre study that enrolled 895 biopsy-confirmed IgAN patients from June 2019 to June 2022 who were followed for more than 1 year. Kaplan–Meier curves and Cox regression analyses were performed to determine the relationship between HALP and adverse outcomes. The restricted cubic splines was used to identify the possible associations. The optimal cut-off value of HALP for renal poor outcome was identified by the area under the receiver operating characteristic curve (AUC).ResultsA total of 895 patients finally participated in the study and were divided into three groups (tertial 1-3) according to the baseline HALP score. More severe clinicopathologic features were observed in the lower HALP group, and Kaplan−Meier analysis showed patients in tertial 1 had a higher risk of kidney failure than the other groups (log-rank=11.02, P= 0.004). Multivariate Cox regression revealed that HALP score was an independent risk factor for renal prognosis in IgAN (adjusted HR: 0.967, 95% CI: 0.945-0.990, P = 0.006). The results of subgroup analysis suggested that HALP was more important in patients under the age of 50, BMI ≤ 23.9 and eGFR ≤ 90 mL/min/1.73 m2. The best cut-off HALP for renal survival was 38.83, sensitivity 72.1%, and specificity 55.9% (AUC: 0.662). Patients were further grouped according to HALP cut-off values and propensity matched. Multivariate Cox regression analysis revealed that HALP remained an independent predictor of IgAN in the matched cohort (HR 0.222, CI: 0.084-0.588, P=0.002).ConclusionHALP is a novel and potent composite parameter to predict kidney outcome in patients with IgAN.

Abstract Personalized healthcare management is an emerging field that requires the development of environment‐friendly, integrated, and electrochemical multimodal devices. In this study, the concept of integrated paper‐based biosensors (IFP−Multi) for personalized healthcare management is introduced. By leveraging ink printing technology and a ChatGPT–bioelectronic interface, these biosensors offer ultrahigh areal‐specific capacitance (74633 mF cm−2), excellent mechanical properties, and multifunctional sensing and humidity power generation capabilities. More importantly, the IFP−Multi devices have the potential to simulate deaf‐mute vocalization and can be integrated into wearable sensors to detect muscle contractions and bending motions. Moreover, they also enable monitoring of physiological signals from various body parts, such as the throat, nape, elbow, wrist, and knee, and successfully record sharp and repeatable signals generated by muscle contractions. In addition, the IFP−Multi devices demonstrate self‐powered handwriting sensing and moisture power generation for sweat‐sensing applications. As a proof‐of‐concept, a GPT 3.5 model‐based fine‐tuning and prediction pipeline that utilizes recorded physiological signals through IFP−Multi is showcased, enabling artificial intelligence with multimodal sensing capabilities for personalized healthcare management. This work presents a promising and ecofriendly approach to developing paper‐based electrochemical multimodal devices, paving the way for a new era of healthcare advancements.

Drowning is a common cause of childhood morbidity and mortality worldwide. Anoxia, hypothermia, and metabolic acidosis are mainly responsible for this morbidity. Drowning may lead to multiple organ damage, especially cardiac damage, in cases in which severe hypothermia and hypoxemia occur. We report a case of a 4-year-old girl who was admitted to our hospital’s Emergency Department because of drowning. She had elevated troponin I concentrations and ST-segment elevation with T wave inversion. However, cardiovascular computed tomography showed no obvious abnormalities in the coronary arteries. We suggest that cardiac damage in this situation is caused by coronary artery spasms. To the best of our knowledge, this is the first case of cardiac damage with electrocardiographic changes after drowning in a preschool child.

The assessment of total antioxidant capacity (TAC) is crucial for evaluating overall antioxidant potential, predicting the risk of chronic diseases, guiding dietary and nutritional interventions, and studying the effectiveness of antioxidants. However, achieving rapid TAC assessment with high sensitivity and stability remains a challenge. In this study, Ce/Fe-MOF with abundant oxygen vacancies was synthesized using microplasma for TAC determination. The microplasma synthesis method was rapid (30 min) and cost-effective. The presence of oxygen vacancies and the collaboration between iron and cerium in Ce/Fe-MOF not only enhanced the catalyst's efficiency but also conferred multiple enzyme-like properties: peroxidase-like, oxidase-like, and superoxide dismutase mimetic activities. Consequently, a simple colorimetric assay was established for TAC determination in vegetables and fruits, featuring a short analysis time of 15 min, a good linear range of 5–60 μM, a low detection limit of 1.3 μM and a good recovery of 91 %-107 %. This method holds promise for rapid TAC assessment in agricultural products.

Abstract Bile duct tumor thrombosis (BDTT) is a complication mostly observed in patients with advanced hepatocellular carcinoma (HCC), causing jaundice and associated with poor clinical outcome. However, its underlying molecular mechanism is unclear. Here, we develop spontaneous preclinical HCC animal models with BDTT to identify the role of BMI1 expressing tumor initiating cells (BMI1high TICs) in inducing BDTT. BMI1 overexpression transforms liver progenitor cells into BMI1high TICs, which possess strong tumorigenicity and increased trans-intrahepatic biliary epithelial migration ability by secreting lysosomal cathepsin B (CTSB). Orthotopic liver implantation of BMI1high TICs into mice generates tumors and triggers CTSB mediated bile duct invasion to form tumor thrombus, while CTSB inhibitor treatment prohibits BDTT and extends mouse survival. Clinically, the elevated serum CTSB level determines BDTT incidence in HCC patients. Mechanistically, BMI1 epigenetically up-regulates CTSB secretion in TICs by repressing miR-218-1-3p expression. These findings identify a potential diagnostic and therapeutic target for HCC patients with BDTT.

Brake pads play a vital role in controlling the operation of high-speed trains with over 300 km/h. Currently the copper-based composites produced by powder metallurgy techniques have been proved as one of the ideal materials. However，the braking performance is strongly influenced by the chemical composition, production, microstructure as well as the working conditions. The intrinsic mechanism of the thermal fade and wear loss under thermal and mechanical coupled influence has not yet been fully revealed. As of late, machine learning algorithms have attracted widespread attention and extraordinary results has been accomplished in materials science and engineering. In this study the algorithms for predicting the braking performance of copper-based brake pads are developed. A new PM copper-based alloy, was designed via the models of the coefficient of friction (COF) and wear loss. The braking test results of this alloy show that the average COF was 0.37 at stable stage I and thermal recession decrease only 0.012 at stage II when under 350 km/h/0.48 MPa continuous braking for 10 times. And the total wear loss is only 1.30 g when under braking from 200 km/h to 350 km/h with pressure from 0.31 MPa to 0.48 MPa. Compared with the commercial brake pads, our designed alloy exhibits excellent braking performance with COF for thermal fade reduced to 21% and the total wear loss reduced to 20%.