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Rosacea is a chronic inflammatory skin disease, characterized by transient flushing, persistent erythema, papules, pustules and telangiectasia. The pathogenesis of rosacea is complex. Although traditional therapies have been shown to improve the symptoms, the therapeutic effect is not satisfactory. In recent years, scholars at home and abroad have proposed new therapeutic approaches to treat rosacea and advancement has been achieved in the fields of topical injection therapy, systemic therapy and physical therapy. Injections of botulinum toxin (BTX) can improve the facial erythema and flushing as well as patients quality of life. Medications such as Tranexamic Acid (TXA) and metformin originally prescribed for other disorders have shown potential therapeutic effects on rosacea. Additionally, the treatment of either neurological or psychiatric disorders or digestive diseases that are comorbid with rosacea may also alleviate rosacea. This article reviews the recent advances in the treatment of rosacea, aiming to provide new insights for the clinical treatment.

Abstract To compare the efficacy and advantages of mini percutaneous nephrostomy (MPCN), micropercutaneous nephrostomy (MicroPCN), and retrograde ureteric stenting (RUS) in the treatment of acute upper urinary tract calculi (UUTC) obstruction with hydronephrosis and infection, and verify the safety and indications of clinical application of micropercutaneous nephrostomy. Clinical-epidemiological data of patients with acute upper urinary tract calculi obstruction and infection treated in Ningbo No.2 hospital were retrospectively collected from May 2019 to May 2023. 64 patients (20 patients in MPCN group, 13 patients in MicroPCN group, and 31 patients in RUS group) were eligible for analysis based on inclusion and exclusion criteria. P value

Abstract Background Acute kidney injury (AKI) is a major complication following cardiac surgery. We explored the clinical utility of iron metabolism indexes for identification of patients at risk for AKI after cardiac surgery. Methods This prospective observational study included patients who underwent cardiac surgery between March 2023 and June 2023. Iron metabolism indexes were measured upon admission to the intensive care unit. Multivariable logistic regression analyses were performed to explore the relationship between iron metabolism indexes and cardiac surgery-associated AKI (CSA-AKI). Receiver operating characteristic (ROC) curve was used to assess the predictive ability of iron, APACHE II score and the combination of the two indicators. Restricted cubic splines (RCS) was used to further confirm the linear relationship between iron and CSA-AKI. Results Among the 112 recruited patients, 38 (33.9%) were diagnosed with AKI. Multivariable logistic regression analysis indicated that APACHE II score (odds ratio [OR], 1.208; 95% confidence interval [CI], 1.003–1.455, P = 0.036) and iron (OR 1.069; 95% CI 1.009–1.133, P = 0.036) could be used as independent risk factors to predict CSA-AKI. ROC curve analysis showed that iron (area under curve [AUC] = 0.669, 95% CI 0.572–0.757), APACHE II score (AUC = 0.655, 95% CI 0.557–0.744) and iron and APACHE II score combination (AUC = 0.726, 95% CI 0.632–0.807) were predictive indicators for CSA-AKI. RCS further confirmed the linear relationship between iron and CSA-AKI. Conclusions Elevated iron levels were independently associated with higher risk of CSA-AKI, and there was a linear relationship between iron and CSA-AKI.

Background Primary healthcare institutions are the key link in hierarchical diagnosis and treatment, and national policies emphasize the need to deepen the "strong grassroots" reform and play its role as the "bottom of the net". Objective To understand the development and resource utilization of primary healthcare services in Beijing, and provide policy suggestions for optimizing the resource allocation of primary healthcare institutions in the next step. Methods Based on SHA2011, a combined method of stratified and simple random sampling was used to select a total of 29 medical and health institutions. A database was formed based on the International Classification of Diseases (ICD-10) coding to complete the accounting of recurrent health expenses in Beijing. The data concerning Beijing health expenses were derived from China Health Statistics Yearbook, Beijing Health Statistics Yearbook, Beijing Municipal Government Healthcare Subsidies Monitoring System, Beijing Public Health Information Center, and so on. The overview, funding sources, and functional flow of health expenses (including treatment service expenses and prevention service expenses) in primary healthcare institutions from 2014 to 2020 were analyzed. Results The recurrent health expenses for Beijing's primary healthcare institutions increased from 12.231 billion yuan to 32.761 billion yuan, with an average annual growth rate of 15.53%, and its proportion in health expenses increased from 7.93% to 13.61%. The inputs were mainly from medical insurance reimbursement programs and Beijing municipal government subsidies, while the proportion of household health expenses has decreased from 18.65% to 8.30%. The proportion of treatment service expenses fluctuated from 87.49% to 77.73%, mainly consumed by endocrine, traditional Chinese medicine and circulatory system diseases, accounting for more than 60.00% cumulatively. The main population of primary treatment services was elderly patients over 60 years old, and the proportion of expenses increased from 48.92% to 64.31%. The proportion of preventive service expenses fluctuated from 12.51% to 22.27%, and the resources of grassroots preventive services were mainly consumed by preventive services such as traditional Chinese medicine health management, immunization planning, health education, elderly health management, and chronic disease management. Conclusion The results of hierarchical diagnosis and treatment are initially obvious, and the primary healthcare resources develop rapidly, which plays an important role in the medical and health system of the capital. The government has assumed important funding responsibilities at the grassroots level, the personal burden of residents has declined, the grassroots patients are mainly elderly and chronic non-communicable disease patients, and the prevention service capacity has been continuously improved.

Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM) is a constellation with four instruments (launch date): GECAM-A/B (10 December 2020), GECAM-C (27 July 2022) and GECAM-D (13 March 2024), which are dedicated to monitoring gamma-ray transients in all-sky. The primary science objectives of GECAM include Gamma-Ray Bursts (GRBs), Soft Gamma-ray Repeaters (SGRs), high energy counterparts of Gravitation Wave (GW) and Fast Radio Burst (FRB), Solar Flares (SFLs), as well as Terrestrial Gamma-ray Flashes (TGFs) and Terrestrial Electron Beams (TEBs). A series of observations and research have been made since the launch of GECAM-A/B. GECAM observations provide new insights into these high-energy transients, demonstrating the unique role of GECAM in the “multi-wavelength, multi-messenger” era.

Passive IoT-based positioning systems are low-cost and taggable, making them suitable for scenarios that require the positioning of a large number of targets. Traditional passive IoT positioning is mostly applied to indoor scenarios such as asset management, material tracking. With the emergence of cellular passive IoT, passive IoT positioning technology will have a broader range of applications. On the basis of analyzing the principles and characteristics of different positioning technologies, the latest research progress of passive IoT positioning was introduced, and the passive IoT positioning technologies were summarized into three categories: geometrical measurement-based positioning methods, fingerprint feature-based positioning methods, and imaging technology-based positioning methods, according to their implementation principles. In view of the fact that most of the current research adopted the data obtained under the traditional passive IoT architecture and protocol for localization, the future development direction of passive IoT positioning technology was analyzed from three dimensions: architectures, protocols and data. The aim is to provide new ideas for researching passive IoT positioning technology.

Cooperative spectrum sensing is regarded as the foundation and a key stage of cognitive radio networks. The node allocation strategy during the spectrum detection process was directly determined by the results of joint spectrum sensing. Various methods for allocating cognitive terminals to enhance the efficiency and fairness of spectrum sensing were introduced. Aiming at the perceptual efficiency of different sub-bands, an indicator called the inefficient transmission parameter (ITP) was proposed to evaluate communication performance, and a closed-form expression solution to the perceptual efficiency optimization problem was provided. The designed scenarios included terminal pairs with the same frequencies having different perceptual properties and the same perceptual properties. For the perceived fairness among different sub-bands, two allocation algorithms were proposed: the arcuate allocation algorithm and the class division allocation algorithm. Fairness between sub-bands was measured by evaluating the worst perceived performance in the sub-band. In order to be applicable to actual scenarios, the frequency band property parameter was added to enhance fairness. This parameter was taken into account the priority and anti-interference ability of the main user using different frequency bands. Simulation results show that the proposed strategy significantly improves ITP in cognitive radio networks, especially when sub-band utilization is different, and the proposed arcuate allocation algorithm significantly improves the perceived fairness of the system.

To study the difference in the contents of phenolics and the antioxidant activities between two kinds of Hawk tea of different maturity levels, and to evaluate their qualities, the contents of 15 phenolic compounds were determined using LC-MS/MS method. Then, the antioxidant activities of two types of tea were evaluated using DPPH radical scavenging rate, ABTS+ radical scavenging rate, and Fe3+ ferric reducing antioxidant power (FRAP). And then, the contents of 15 phenolic compounds and the antioxidant activities between two kinds of Hawk tea of different maturity levels were analyzed by analysis of variance (ANOVA). Based on the contents of 15 phenolic compounds, hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least square-discriminant analysis (OPLS-DA) were used to classify two kinds of Hawk tea. Finally, the contribution of different phenolic compounds in Hawk tea to antioxidation was discussed by partial least square regression analysis (PLSR). The results were as follows: (1) The contents of catechin, p-coumaric acid, isoquercitrin, hyperoside, nicotiflorin, astragalin, kaempferol, quercetin, and afzelin in tender leaf tea were significantly higher than those in old leaf tea, among which the average contents of catechin, isoquercitrin, and astragalin were higher than those in old leaf tea by 1 039.43, 169.12 and 257.35 mg·100 g-1, respectively. The results of HCA, PCA, and OPLS-DA could distinguish two kinds of Hawk tea. (2) The ANOVA showed significant differences in DPPH radical scavenging rate, ABTS+ radical scavenging rate, and FRAP between two kinds of tea, with the tender leaf tea superior to the old leaf tea. (3) The PLSR suggested that isoquercitrin, catechin, astragalin, chlorogenic acid, hyperoside, p-coumaric acid, and kaempferol were the main phenolic compounds those contributed to the antioxidant activity of Hawk tea. This study can provide a reference for Hawk tea's quality control and application promotion.

In the context of large-scale and medium-and-long distance offshore wind power development， a comprehensive economic comparison has been made between fractional frequency transmission system （FFTS） and other transmission systems. An economic evaluation model based on the levelized cost of electricity （LCOE） for the FFTS system. This model takes into account the lifecycle， initial resource investment， operational losses， routine maintenance， decommissioning costs， and tax liabilities. By using an offshore wind farm as a case study， the paper analyzes the economic intervals of the FFTS and economic variability under various scenarios. The findings reveal that， for a 500 MW offshore wind farm， the economic interval extends from 80 to 250 kilometers； moreover， this range exhibits a notable degree of stability and demonstrates superior economic viability in contrast to traditional transmission systems across multiple scenarios.

Abstract Background Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery. However, the predictive value of single indictor still remains controversial. This study aimed to assess the predictive value of combining preoperative left atrial volume index (LAVI) and postoperative interleukin-6 (IL-6) for POAF in the patients receiving cardiac surgery. Methods Patients who admitted to Nanjing First Hospital during the study period between December 2022 and June 2023, and underwent open-heart surgery without a history of atrial fibrillation (AF) were enrolled. The relationships between predictors and POAF were investigated using logistic regression analysis. We determined the combined predictive value of LAVI and IL-6 for POAF by measuring the changes in the area under the receiver operating characteristic curve (AUC) and calculating the net reclassification improvements (NRIs) and integrated discrimination improvement (IDIs). Results 102 patients were enrolled in this study, and 50 participants developed POAF (49.0%). Patients who experienced POAF had higher levels of preoperative LAVI and postoperative IL-6 than those who did not. Regression analysis revealed that larger LAVI and higher level of IL-6 were independently associated with increased risk of POAF. The combined addition of LAVI and IL-6 to the predictive model resulted in an evident increase in the AUC. Incorporating both LAVI and IL-6 increased IDIs in all models. Conclusion Our results demonstrated that combined LAVI and IL-6 achieved a higher prediction performance for POAF.

The prediction of dust concentration in open-pit mine is a critical foundation for minimising dust pollution. In order to improve the prediction accuracy of dust concentration in an open-pit mine, the combined prediction algorithm model of GA-LSSVM and Elman-Adaboost based on the integration of error reciprocal approach was investigated. Firstly, the monitoring equipment of dust concentration and meteorological factors was installed in the open-pit mine site to collect important data, and the distribution law of dust concentration, meteorological and production intensity data was analyzed. The mutual information feature screening algorithm was utilised to efficientlyly remove the redundant and disruptive model prediction performance. The characteristic variables, according to the importance of information, select four indicators of stripping amount, temperature, humidity and wind direction, and then determine the input variables of the prediction model. The dust concentration prediction model was then developed using the genetic algorithm optimised least squares support vector machine (GA-LSSVM) and the Elman neural network optimised adaptive enhancement algorithm (Elman-Adaboost) models. The final prediction results were integrated using the error reciprocal method, and then the combined prediction model of dust concentration in open-pit mine in winter was constructed. Finally, the sample data is divided into a training set and a testing set in a 7:3 ratio to predict dust concentration, and the model evaluation index and test method are proposed. The results show that, using PM2.5 as an example, the model’s input variables are historical PM2.5 concentration data and external environmental factors selected based on mutual information. The evaluation indexes of the model include the correlation coefficient R2, root mean square error RMSE, and standard deviation SD. The combined model had an R2 of 0.893, RMSE of 11.697, and SD of 22.174. Compared to the GA-LSSVM model and Elman-Adaboost models, the R2 increased by 24.5% and 41.2% respectively, while the RMSE decreased by 31.0% and 36.7% respectively. When compared to the original sample data set SD (23.528), it is evident that the combined model clearly has higher prediction accuracy.

Background: All-trans retinoic acid (ATRA) and arsenic trioxide (ATO) have revolutionized the treatment of acute promyelocytic leukemia (APL). However, the management of high-risk APL has not been conclusively established. The optimal dosage of anthracycline in the induction has long been debated when ATO is added. Objectives: To explore the management of high-risk APL regarding the optimal dosage of anthracycline in the induction and the predicators of prognosis. Design: This was a retrospective study in the real-world setting. Methods: High-risk APL patients defined as white blood cell (WBC) greater than 10 × 10 9 /L who received ATO-based induction regimens were included. Data on clinical characteristics, treatment regimens, and prognosis including early death (ED) and overall survival (OS) were collected from medical records. Risk factors of ED and OS were analyzed. Results: This research included a total of 130 participants. Fifty (38.5%) patients received ATO+ATRA dual induction plus standard-dose anthracycline (ATO + ATRA + stDNR). Fifty-nine (45.4%) patients received ATO + ATRA with consecutive low-dose anthracycline (ATO + ATRA + ldDNR). Twenty-one (16.2%) patients were treated with ATO and various chemotherapies (ATO + others). Compared with the other two groups, the ATO + ATRA + stDNR group had the lowest ED rate of 4.0% (10.2% and 52.4%, respectively; p

BackgroundMedical staff often conduct assessments, such as food intake and nutrient sufficiency ratios, to accurately evaluate patients’ food consumption. However, visual estimations to measure food intake are difficult to perform with numerous patients. Hence, the clinical environment requires a simple and accurate method to measure dietary intake. ObjectiveThis study aims to develop a food intake estimation system through an artificial intelligence (AI) model to estimate leftover food. The accuracy of the AI’s estimation was compared with that of visual estimation for liquid foods served to hospitalized patients. MethodsThe estimations were evaluated by a dietitian who looked at the food photo (image visual estimation) and visual measurement evaluation was carried out by a nurse who looked directly at the food (direct visual estimation) based on actual measurements. In total, 300 dishes of liquid food (100 dishes of thin rice gruel, 100 of vegetable soup, 31 of fermented milk, and 18, 12, 13, and 26 of peach, grape, orange, and mixed juices, respectively) were used. The root-mean-square error (RMSE) and coefficient of determination (R2) were used as metrics to determine the accuracy of the evaluation process. Corresponding t tests and Spearman rank correlation coefficients were used to verify the accuracy of the measurements by each estimation method with the weighing method. ResultsThe RMSE obtained by the AI estimation approach was 8.12 for energy. This tended to be smaller and larger than that obtained by the image visual estimation approach (8.49) and direct visual estimation approach (4.34), respectively. In addition, the R2 value for the AI estimation tended to be larger and smaller than the image and direct visual estimations, respectively. There was no difference between the AI estimation (mean 71.7, SD 23.9 kcal, P=.82) and actual values with the weighing method. However, the mean nutrient intake from the image visual estimation (mean 75.5, SD 23.2 kcal, P

Summary: Background: Over 500,000 new cases are diagnosed with papillary thyroid cancer (PTC) globally per year, of whom the vast majority are in the low-risk stratification. Although thyroid-stimulating hormone (TSH) suppression is traditionally recommended for all postoperative PTCs in current guidelines, its necessity remains highly controversial in low-risk patients. Since relevant recommendations in current guidelines are still empirical, we aim to provide a direct, large-scale, real-world evidence. Methods: This large-scale real-world retrospective study included 11,140 low-risk PTC patients from two Chinese large-volume centers (Fudan University Shanghai Cancer Center [FUSCC] and Cancer Hospital of Chinese Academy of Medical Sciences [CH-CAMS]) treated from January 1, 2000 to June 30, 2022. The mean TSH level was calculated based on postoperative serum TSH values during follow-up. The primary outcome was the association between postoperative TSH level and structural recurrence assessed by Kaplan–Meier, log-rank, multivariate Cox regression analyses and equivalence testing by Two One-Sided Tests (TOST) procedure. Propensity score matching (PSM) was used to adjust for confounders among groups. Findings: A total of 11,140 patients with low-risk PTC were included with a median follow-up of 70 months. Based on the mean TSH level, we classified these patients into ≤0.5 (n = 1,504, 13.5%), (0.5–1] (n = 4,336, 38.9%), (1–2] (n = 4,285, 38.5%), (2–3] (n = 704, 6.3%) and >3 (n = 311, 2.8%) mU/L groups. After PSM adjusting for age, sex, T and N stage, 8991 patients were included in further analysis, for whom the log-rank analyses showed no significant differences between any two groups (all P > 0.05) in recurrence-free survival (RFS), locoregional recurrence-free survival (LRRFS) and distant metastasis-free survival (DMFS), and suppressed TSH was not associated with tumor recurrence in the multivariate Cox analysis (TSH > 2 group vs TSH ≤ 2 group: HR = 1.30, 95% CI = 0.85–2.01, P = 0.23). Furthermore, the TOST equivalence tests showed that tumor recurrence status of any two TSH groups were statistically comparable (all Bonferroni-corrected P values

Background: Schisandra chinensis (Turcz.) Baill (Schisandraceae) and Acorus tatarinowii Schott (Araceae Juss) (Sc-At) are two traditional Chinese medicinal herbs that are widely used in the treatment of neurological disorders such as insomnia. In our previous study, we found that Sc-At could improve the therapeutic efficacy of Alzheimer’s disease by affecting aromatase activity and estrogen levels, among other pathways. Material and methods: In this study, first, the ameliorative effect of Sc-At on cognitive dysfunction in Alzheimer’s disease model rats was verified by Y-maze test together with Elisa assay. Second, fecal untargeted metabolomics analysis was performed using a UPLC-Q-TOF/MS-based metabolomics approach. 16S rDNA sequencing was utilized to screen the differential flora between groups, and linear discriminantan alysis effect size (LEfSe) was used to find the target flora. Finally, Spearman correlation analysis was combined to find the relationship between differential flora and differential metabolites in feces. Results: (1) The results of Y-maze test and Elisa assay indicated that Sc-At could improve the cognitive dysfunction of AD model rats. (2) Metabolomics results showed that fecal metabolite levels were significantly different from those of rats in the blank group, and 18 potential biomarkers in feces were screened, mainly affecting linoleic acid metabolism, steroid hormone biosynthesis, sphingomyelin metabolism, riboflavin metabolism, etc. The 16S rDNA results showed that the abundance and diversity of intestinal flora in AD rats were destroyed, and the Sc-At treatment was able to reverse these changes. (3) Spearman’s correlation analysis showed a significant correlation between differential metabolites in feces and intestinal flora, further suggesting that Sc-At treats Alzheimer’s disease through the gut-brain axis. Conclusions: In this study, we explored the mechanism of Sc-At in the treatment of Alzheimer’s disease by integrating fecal untargeted metabolomics and 16S rDNA gene sequencing, and the results showed that Sc-At exerts therapeutic effects on Alzheimer’s disease by improving the intestinal flora and related metabolic pathways.

Современное строительство все чаще обращается к сборным технологиям, стремясь повысить эффективность и экологическую устойчивость проектов. Особенно в Китае, где данное направление показывает впечатляющие темпы развития, сборное строительство становится ключевым элементом стратегии устойчивого развития городской инфраструктуры. Цель данного исследования заключается в анализе типов строительных конструкций и соединений, широко используемых в сборном строительстве в Китае, с акцентом на их эффективность, стоимость, влияние на окружающую среду и устойчивость. Методология включает в себя библио­метрический анализ научной литературы и статистических данных, охватывающих последние годы, для выявления ключевых трендов и направлений развития в данной области. Основные результаты показывают, что Китай занимает лидирующие позиции в исследованиях и применении сборных технологий, особенно в области железобетонных и стальных конструкций. Различные типы сборных конструкций и методы соединений анализируются с точки зрения их применения и эффективности. На основе анализа определены основные проблемы и перспективы дальнейшего развития сборного строительства, включая необходимость стандартизации и улучшения качества соединительных элементов. Исследование подчеркивает значительный потенциал сборного строительства для содействия устойчивому развитию и эффективному использованию ресурсов в строительной отрасли.

Abstract The Rho GTPase activating protein family (ARHGAPs) is expressed in pancreatic adenocarcinoma (PAAD) but its function is unclear. The aim of this study was to explore the role and potential clinical value of ARHGAPs in PAAD. Using TCGA and GEO databases to analyze expression of ARHGAPs in PAAD and normal tissues. Survival curve was drawn by Kaplan–Meier. ARHGAPs were integrated analyzed by GEPIA2, TIMER, UCLCAN, cBioPortal and R language. Protein level and prognostic value were evaluated via IHC staining or survival analysis. We totally identify 18 differentially expressed (DE) ARHGAPs in PAAD. Among the 18 DE genes, 8 were positively correlated with tumor grade; abnorrmal expression of 5 was positively correlated with copy number variation; expression of 4 was positively correlated with promoter hypomethylation. Multivariate Cox regression identified ARHGAP5, ARHGAP11A, and ARHGAP12 as independent prognostic factors of PAAD. The function of ARHGAPs was mainly related to GTPase activity and signaling, axon guidance, proteoglycans in cancer and focal adhesion. Expression of 7 ARHGAPs was strongly correlated with immune infiltration. Immunohistochemistry showed increased protein levels of ARHGAP5, ARHGAP11A, and ARHGAP12 in PAAD tissues. Survival analysis confirmed a negative correlation between ARHGAP5, ARHGAP11A, and ARHGAP12 expression and patient prognosis. Multivariate Cox regression proved ARHGAP5, ARHGAP11A, and ARHGAP12 could serve as independent prognostic indicators for PAAD. Finally, this study verified ARHGAP5, ARHGAP11A, and ARHGAP12 as independent prognostic factors in PAAD, suggesting their significance for the diagnosis and treatment of PAAD.

Abstract Background Since COVID-19 became a global epidemic disease in 2019, pulmonary fibrosis (PF) has become more prevalent among persons with severe infections, with IPF being the most prevalent form. In traditional Chinese medicine, various disorders are treated using Sinomenine (SIN). The SIN’s strategy for PF defense is unclear. Methods Bleomycin (BLM) was used to induce PF, after which inflammatory factors, lung histological alterations, and the TGF-/Smad signaling pathway were assessed. By administering various dosages of SIN and the TGF- receptor inhibitor SB-431,542 to human embryonic lung fibroblasts (HFL-1) and A549 cells, we were able to examine proliferation and migration as well as the signaling molecules implicated in Epithelial-Mesenchymal Transition (EMT) and Extra-Cellular Matrix (ECM). Results In vivo, SIN reduced the pathological changes in the lung tissue induced by BLM, reduced the abnormal expression of inflammatory cytokines, and improved the weight and survival rate of mice. In vitro, SIN inhibited the migration and proliferation by inhibiting TGF-β1/Smad3, PI3K/Akt, and NF-κB pathways, prevented the myofibroblasts (FMT) of HFL-1, reversed the EMT of A549 cells, restored the balance of matrix metalloenzymes, and reduced the expression of ECM proteins. Conclusion SIN attenuated PF by down-regulating TGF-β/Smad3, PI3K/Akt, and NF-κB signaling pathways, being a potential effective drug in the treatment of PF.

Abstract Background Plasma microRNAs act as biomarkers for predicting and diagnosing diseases. Reliable non-invasive biomarkers for biochemical pregnancy loss have not been established. We aim to analyze the dynamic microRNA profiles during the peri-implantation period and investigate if plasma microRNAs could be non-invasive biomarkers predicting BPL. Methods In this study, we collected plasma samples from patients undergoing embryo transfer (ET) on ET day (ET0), 11 days after ET (ET11), and 14 days after ET (ET14). Patients were divided into the NP (negative pregnancy), BPL (biochemical pregnancy loss), and CP (clinical pregnancy) groups according to serum hCG levels at day11~14 and ultrasound at day28~35 following ET. MicroRNA profiles at different time-points were detected by miRNA-sequencing. We analyzed plasma microRNA signatures for BPL at the peri-implantation stage, we characterized the dynamic microRNA changes during the implantation period, constructed a microRNA co-expression network, and established predictive models for BPL. Finally, the sequencing results were confirmed by Taqman RT-qPCR. Results BPL patients have distinct plasma microRNA profiles compared to CP patients at multiple time-points during the peri-implantation period. Machine learning models revealed that plasma microRNAs could predict BPL. RT-qPCR confirmed that miR-181a-2-3p, miR-9-5p, miR-150-3p, miR-150-5p, and miR-98-5p, miR-363-3p were significantly differentially expressed between patients with different reproductive outcomes. Conclusion Our study highlights the non-invasive value of plasma microRNAs in predicting BPL.

Abstract Background Small bowel obstruction can occur during pregnancy, which, if missed, can lead to dire consequences for both the mother and foetus. Management of this condition usually requires surgical intervention. However, only a small number of patients are treated conservatively. Objective The objective was to review the literature to determine the feasibility of conservative management for small bowel obstruction. Methods A systematic search of the PubMed and Embase databases was performed using the keywords [small bowel obstruction AND pregnancy]. All original articles were then reviewed and included in this review if deemed suitable. Conclusion Conservative management of small bowel obstruction in pregnant women is feasible if the patient is clinically stable and after ruling out bowel ischaemia and closed-loop obstruction.

The loss of excitation fault of large condenser seriously affects the safety and stability of equipment and system. The reliability and selectivity of existing low-voltage and reactive power reverse criteria based on local static threshold are insufficient. In this paper, a loss of excitation protection principle based on intelligent identification of the global dynamic trajectory of the measured impedance is proposed, which can reflect the operating state of the condenser. From the point of view of kinematics, characteristic quantity time series that can accurately restore the measured impedance trajectory under loss of excitation and other conditions is formed, and statistics is further introduced to extract the highly explanatory features. Multiple kernel learning support vector machine (MKL-SVM) is trained by using the combination of global and local kernel functions of adaptive weights to ensure the learning ability of the classification model while enhancing its generalization ability. A two-stage recognition strategy based on the space distance of the classification core is proposed, which can improve the protection reliability while ensuring the system security. The model of condenser connected to power grid is built based on PSCAD simulation platform for verification, and simulation results show that the proposed method does not need to collect the electrical quantities at the rotor side with high identification accuracy, and it still has excellent applicability in the face of new energy access and unknown disturbances.

Throughout history, the influenza A virus has caused numerous devastating global pandemics. Macrophages, as pivotal innate immune cells, exhibit a wide range of immune functions characterized by distinct polarization states, reflecting their intricate heterogeneity. In this study, we employed the time-resolved single-cell sequencing technique coupled with metabolic RNA labelling to elucidate the dynamic transcriptional changes in distinct polarized states of bone marrow-derived macrophages (BMDMs) upon infection with the influenza A virus. Our approach not only captures the temporal dimension of transcriptional activity, which is lacking in conventional scRNA-seq methods, but also reveals that M2-polarized Arg1_macrophage cluster is the sole state supporting successful replication of influenza A virus. Furthermore, we identified distinct antigen presentation capabilities to CD4+ T and CD8+ T cells across diverse polarized states of macrophages. Notably, the M1 phenotype, exhibited by (BMDMs) and murine alveolar macrophages (AMs), demonstrated superior conventional and cross-presentation abilities for exogenous antigens, with a particular emphasis on cross-presentation capacity. Additionally, as CD8+ T cell differentiation progressed, M1 polarization exhibited an enhanced capacity for cross-presentation. All three phenotypes of BMDMs, including M1, demonstrated robust presentation to CD4+ regulatory T cells, while displaying limited ability to present to naive CD4+ T cells. These findings offer novel insights into the immunological regulatory mechanisms governing distinct polarized states of macrophages, particularly their roles in restricting the replication of influenza A virus and modulating antigen-specific T cell responses through innate immunity.

This study presents a comprehensive bibliometric analysis of speech acts within international scholarly periodicals spanning over a period of 11 years. Employing a quantitative approach, the study utilizes CiteSpace, a powerful bibliometric tool, to discern and examine emerging patterns, novel trends, and the pivotal themes inherent to the realm of speech acts as portrayed in international journals. The results shed light on the nuanced variations in these themes across various regions, including China, the United States, and England, encompassing a spectrum of multidisciplinary fields such as Engineering, psychology, environmental sciences, linguistics, and literature. While prior research has predominantly focused on the thematic aspects of language, linguistics, and philosophy, this study emphasizes the emergence of new trends within the integrated domains of artificial intelligence and language sciences. Overall, this study tends to highlight the need to integrate the novel approaches, computer science and deep learning with the linguistic perspective in speech act studies.

BackgroundThis study aims to elucidate the association between glycemia and the occurrence of multi-vessel lesions in participants undergoing coronary angiography.MethodsWe analyzed 2,533 patients with coronary artery disease who underwent coronary angiography. Of these, 1,973 patients, identified by the endpoint of multi-vessel lesions, were examined using univariate and multivariate logistic regression analyses to determine the relationship between glycemia levels and multi-vessel lesion occurrence.ResultsThe analysis included 1,973 participants, among whom 474 patients were identified with coronary multi-vessel lesions. Univariate logistic regression analysis demonstrated a positive correlation between glycemia and the occurrence of coronary multi-vessel lesions (OR 1.04; 95% CI 1.01–1.08; p = 0.02). The adjusted model indicated that for each unit increase in glycemia, the risk of developing coronary multi-vessel lesions increased by 4%, showing a significant correlation (p

By both the Charpy V-notched impact and the projectile tests, we here investigated the dynamic fracture behavior of a recently developed ultrastrong lightweight steel comprising a hierarchical martensitic matrix, dispersed ultra-fine-retained austenite grains and oriented δ-ferrite lamellas, the latter being due to high Al and Si contents employed for low-density design. This steel shows a superior combination of specific ultimate tensile strength and impact toughness to other ultrastrong steels and has successfully arrested a real steel-cored bullet shot. These are attributed to the densely textured δ-ferrite lamellas that can deflect the propagating cracks until they are trapped and enclosed besides austenite-to-martensite transformation crack closure, leading to more energy consumed before failure. These results suggest a new pathway for toughening ultrastrong lightweight steels.

The space environment is a very harsh operating environment, and space radiation can directly affect the operation of electronic devices causing total ionizing dose (TID), single event effect (SEE) and displacement damage (DD). For most devices TID and SEE are the two most dominant effects, the study of TID and SEE mechanism is one of the main tasks in modern spacecraft design. Previous studies show that there is a synergistic effect between TID and SEE. The TID will significantly affect the sensitivity of the SEE, and the effect rules and mechanisms are not consistent due to the different device process sizes and processes. There are few reports about the synergistic effect of SOI SRAM devices in the world, and the research on SOI SRAM with special memory cell structure has not been carried out. To further elucidate the synergistic effect between TID and SEE in SOI SRAM, an experimental study was conducted using a domestic 130 nm 7T SOI SRAM. The TID and SEE experiments were carried out at the China Institute of Atomic Energy TID test platform and HI-13 tandem accelerator SEE test platform. Before the SEE experiment, three groups of SOI SRAMs were irradiated by total dose of 300, 500 and 750 krad, respectively, and finally the change of the single event upset (SEU) cross section of the SOI SRAM after different doses TID irradiation was obtained. The experimental result shows that the SEU cross section of the SOI SRAM decreases to 80.5%, 66% and 50.5% at three LET values of 13.85, 21.8, and 37.4 MeV·cm2/mg after TID irradiation. There is no obvious difference found in the SEU cross section under different writing modes, which means that the synergistic effect of these devices has no data-dependent. The saturation cross section of the device also shows a trend of decreasing with increasing dose, up to 19.5%, and no significant change in the SEU threshold was found in this study. By analyzing the SEU cross section of flip-flop type 1→0 flip-flop and 0→1 flip-flop, it is found that the delay efficiency of the delay transistor N5 is the main reason for the influence on the SEU cross section. After the mechanism analysis, it is concluded that the delay transistor N5 has an increased equivalent off-state resistance due to the decrease of carrier mobility caused by TID, and this phenomenon is the main reason for the decrease of SEU cross section. The anti-SEE performance of SOI SRAM with special mechanism will be enhanced gradually with longer in-orbit time, which provides new insight for future electronic devices radiation-hardend.

Artificial Intelligence (AI) has garnered considerable attention from educators, policymakers, and scholars within the realms of education and social sciences, achieving notable historical significance. Employing bibliometric analysis, this paper aims to provide a comprehensive analysis of the most noticeable trend of using AI in education. The corpus comprises a dataset of publications sourced from Web of Science (WoS) and Scopus-indexed journals. It concentrates on contemporary scientific research and innovative methodologies within the education sector, particularly relevant to the intersection of education and technology in the AI era. The results reveal a significant rise in AI-related technological research beginning in 2018, with citations reaching their zenith in 2019. Furthermore, collaborative metrics indicate that the United States and China are leading in publication volume. In addition, the study highlights a rising interest in AI applications within education and healthcare, particularly in the context of the COVID-19 pandemic.

Abstract Background To compare the intermediate-term efficacy of PRESERFLO (PF) MicroShunt implantation with trabeculectomy (TE) in patients with primary open-angle glaucoma, focusing on longitudinal changes of functional and structural parameters. Methods This retrospective comparative study included 104 eyes of 104 patients who underwent TE and 83 eyes of 83 patients that underwent PF implantation between January 2019 and December 2020, with a minimum follow-up of two years. Baseline and postoperative intraocular pressure (IOP), number of IOP-lowering medications, visual field mean defect (MD) and peripapillary retinal nerve fibre layer (RNFL) thickness measured using optical coherence tomography were assessed and compared between groups. Results Baseline characteristics (age, sex, IOP, number of IOP-lowering medications, MD, RNFL thickness) were comparable between the two groups (all P > 0.05). During the two-year of follow-up, mean IOP decreased from 24.09 ± 1.15 mmHg and 21.67 ± 0.77 mmHg to 11.37 ± 1.13 mmHg (P

ObjectiveTo explore the relationship between the intestinal flora and the impairment of liver and kidney in HIV-infected men who have heterosexual sex with healthy women.MethodsFecal samples from 41 HIV-infected heterosexual men who have sex with women （PMSW） and 43 age- and BMI-matched healthy heterosexual men who have sex with women （NMSW） were collected and subjected to 16S rDNA sequencing. The blood levels of AST， ALT， TBIL， UREA， Cr， UA， β2-MG and other liver and kidney function indicators were measured. Bioinformatics methods were used to analyze the characteristics of the intestinal flora of the patients in these two groups， to compare the differential bacteria strains， and to analyze their correlation with liver and kidney function indicators.ResultsIn comparison with NMSW， the alpha diversity of intestinal flora was decreased in PMSW， and the beta diversity analysis showed significant differences in flora characteristics between the two groups （P4）. The comparison of liver and kidney function indexes revealed that AST， β2-MG levels were higher in PMSW than in NMSW， while TBIL was lower in PMSW than in NMSW. The number of patients with abnormal β2-MG was much higher in PMSW than in NMSW， and the difference was statistically significant （P

ABSTRACTChinese onion is a common vegetable in daily diet, especially in Southwest China. We collected 184 samples from farm and market in Chongqing Municipality during 2020–2021 and established a multi-residue method for analysis of 79 pesticide residues on Chinese onion. Sixty-three of 184 samples were found pesticide resdues, accounting for 34.2%. A total of 31 pesticides were detected, and 6 pesticides in 11 samples have exceeded the Chinese MRLs, 5.98% of all samples. The chronic and acute dietary exposure assessment showed the %ADI and the %ARfD value were 0.005%–5.46% and 0.03%–297.95%, respectively. The %ARfD of most pesticides were acceptable except for cyhalothrin (297.95%, children; 140.17%, adults) and carbofuran (107.94%, children). The study indicated that pesticide residues on Chinese onion had different concentration levels which were low commonly. The establishment of MRLs for several pesticides (cyfluthrin, carbendazim, propamocarb) in Chinese onion is required for better estimation of dietary risk.

Objective: The study aimed to evaluate the interobserver agreement among glaucoma subspecialists in diagnosing glaucoma and to explore the causes of diagnostic discrepancies. Methods: Three experienced glaucoma subspecialists independently assessed frequency domain optical coherence tomography, fundus color photographs, and static perimetry results from 464 eyes of 275 participants, adhering to unified glaucoma diagnostic criteria. All data were collected from the Wenzhou Glaucoma Progression Study between August 2014 and June 2021. Results: The overall interobserver agreement among the three experts was poor, with a Fleiss’ kappa value of 0.149. The kappa values interobserver agreement between pairs of experts ranged from 0.133 to 0.282. In 50 cases, or approximately 10.8%, the three experts reached completely different diagnoses. Agreement was more likely in cases involving larger average cup-to-disc ratios, greater vertical cup-to-disc ratios, more severe visual field defects, and thicker retinal nerve fiber layer measurements, particularly in the temporal and inferior quadrants. High myopia also negatively impacted interobserver agreement. Conclusions: Despite using unified diagnostic criteria for glaucoma, significant differences in interobserver consistency persist among glaucoma subspecialists. To improve interobserver agreement, it is recommended to provide additional training on standardized diagnostic criteria. Furthermore, for cases with inconsistent diagnoses, long-term follow-up is essential to confirm the diagnosis of glaucoma.

Researchers and environmental managers need big datasets spanning long time periods to accurately assess current and historical water quality conditions in fresh and estuarine waters. Using remote sensing data, we can survey many water bodies simultaneously and evaluate water quality conditions with greater frequency. The combination of existing and historical water quality data with remote sensing imagery into a unified database allows researchers to improve remote sensing algorithms and improves understanding of mechanisms causing blooms. We report on the development of a water quality database “EstuarySAT” which combines data from the Sentinel-2 multi-spectral instrument (MSI) remote sensing platform and water quality data throughout the coastal USA. EstuarySAT builds upon an existing database and set of methods developed by the creators of AquaSat, whose region of interest is primarily larger freshwater lakes in the USA. Following the same basic methods, EstuarySAT utilizes open-source tools: R v. 3.24+ (statistical software), Python (dynamic programming environment), and Google Earth Engine (GEE) to develop a combined water quality data and remote sensing imagery database (EstuarySAT) for smaller coastal estuarine and freshwater tidal riverine systems. EstuarySAT fills a data gap that exists between freshwater and estuarine water bodies. We are able to evaluate smaller systems due to the higher spatial resolution of Sentinel-2 (10 m pixel image resolution) vs. the Landsat platform used by AquaSat (30 m pixel resolution). Sentinel-2 also has a more frequent revisit (overpass) schedule of every 5 to 10 days vs. Landsat 7 which is every 17 days. EstuarySAT incorporates publicly available water quality data from 23 individual water quality data sources spanning 1984–2021 and spatially matches them with Sentinel-2 imagery from 2015–2021. EstuarySAT currently contains 299,851 matched observations distributed across the coastal USA. EstuarySAT’s primary focus is on collecting chlorophyll data; however, it also contains other ancillary water quality data, including temperature, salinity, pH, dissolved oxygen, dissolved organic carbon, and turbidity (where available). As compared to other ocean color databases used for developing predictive chlorophyll algorithms, this coastal database contains spectral profiles more typical of CDOM-dominated systems. This database can assist researchers and managers in evaluating algal bloom causes and predicting the occurrence of future blooms.

Central serous chorioretinopathy (CSC) is a leading cause of permanent vision loss, ranking fourth among macular diseases, trailing only age-related macular degeneration, diabetic retinopathy, and retinal vein obstruction. While mounting evidence implicates inflammation as a pivotal factor in the onset and advancement of CSC, the specific pathophysiological process and molecular mechanisms underlying inflammation remain incompletely understood. A complex network of cytokines, chemokines, and adhesion molecules interplay to trigger inflammatory and pathological cascades, highlighting the need for a comprehensive comprehension of the inflammation-related mechanisms behind CSC progression. In this piece, we examine the existing comprehension of CSC’s pathology and pathogenesis. Additionally, we present an overview of the mechanisms underlying the onset and progression of CSC inflammation, followed by a thorough analysis and discussion of the potential of targeted inflammatory intervention for both preventing and treating CSC.

Compared with surface temperature, the near-surface temperature is more related with human health. However, extensive researches have been conducted on the UHI effect globally using surface temperature considering its accessibility. In this study, a comparative analysis of near-surface and surface urban heat islands in the Yangtze River Delta Region is investigated. This study first proposed a spatialization method suitable for air temperature in highly urbanized areas with complex land cover. Based on this method, a dataset of 1-km gridded air temperature is developed, and an in-depth analysis of the changes of near-surface and surface heat island is further carried out. Results show that both the near-surface urban heat island intensity (NSUHII) and surface urban heat island intensity (SUHII) are rather strong over the past 20 years, presenting similar spatial distributions as well. However, in the rapidly expanding urban areas especially during summer and winter seasons, the difference in magnitude and time variations (R) between NSUHII and SUHII are pronounced. Hence, adaptions and mitigation strategies on NSUHI and SUHI should be developed and implemented separately in such occasions, which is especially important for developed areas such as Yangtze River Delta Region.

Abstract In this study, a method for assimilating FY4A advanced geostationary radiance imager (AGRI) cirrus‐effected radiances (CER) is investigated, and the impact of this method on water vapor analysis and rainstorm forecasting is examined through observing system simulation experiments and actual case experiments. The high proportion of inverted humidity profiles in the cirrus‐effected pixels is the main reason for the negative effect of assimilation in the mid‐to‐lower troposphere. To address this, relevant constraint conditions are incorporated into the cost function. The statistical results reveal that the addition of a CER assimilation improves the analysis increment of water vapor, with pattern correlation coefficients of 0.33, 0.35, and 0.20 at 200, 300, and 400 hPa, respectively, which are greater than those of a clear‐sky radiance assimilation (0.28, 0.33, and 0.17, respectively). Moreover, the inclusion of a CER assimilation greatly improves data utilization, and has a neutral to positive effect on precipitation forecasting.

BackgroundAcanthopanax senticosus (AS) can improve sleep, enhance memory, and reduce fatigue and is considered as an effective drug for Alzheimer’s disease (AD). The therapeutic effect and mechanism need to be further investigated.MethodsTo confirm the AS play efficacy in alleviating memory impairment in mice, 5×FAD transgenic mice were subjected to an open-field experiment and a novelty recognition experiment. Network pharmacology technique was used to analyze the information of key compounds and potential key targets of AS for the treatment of AD, molecular docking technique was applied to predict the binding ability of targets and compounds, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were also performed on the targets to derive the possible metabolic processes and pathway mechanisms of AS in treating AD. Quantitative real-time PCR (qRT-PCR) and western blot technique were carried out to validate the candidate genes and pathways.ResultsIn the open-field experiment, compared with the wild-type (WT) group, the number of times the mice in the AD group crossed the central zone was significantly reduced (P< 0.01). Compared with the AD group, the number of times the mice in the AS group crossed the central zone was significantly increased (P< 0.001). In the new object recognition experiment, compared with the WT group, the percentage of times the AD group explored new objects was significantly reduced (P< 0.05). Compared with the AD group, the AS group had an increase in the percentage of time spent exploring new things and the number of times it was explored (P< 0.05). At the same time, the donepezil group had a significantly higher percentage of times exploring new things (P< 0.01). By using network pharmacology technology, 395 common targets of AS and AD were retrieved. The Cytoscape software was used to construct the protein–protein interaction (PPI) network of common targets. Using the algorithm, nine key targets were retrieved: APP, NTRK1, ESR1, CFTR, CSNK2A1, EGFR, ESR2, GSK3B, and PAK1. The results of molecular docking indicate that 11 pairs of compounds and their corresponding targets have a significant binding ability, as the molecular binding energies were less than -7.0. In comparison to the AD group, the mRNA expression of the key target genes was significantly decreased in the AS treatment group (P< 0.001). The KEGG analysis showed that the MAPK signaling pathway was significantly enriched, and Western blot confirmed that the TRAF6 protein decreased significantly (P< 0.0001). Meanwhile, the levels of MAP3K7 and P38 phosphorylation increased, and there was also an increase in the expression of HSP27 proteins.ConclusionOur study indicates that the multi-component and multi-target properties of AS play an important role in the alleviation of anxiety and memory impairment caused by AD, and the mechanism is involved in the phosphorylation and activation of the MAPK signaling pathway. The results of this study could provide a novel perspective for the clinical treatment of AD.

ObjectiveTo analyze the HIV infection characteristics and influencing factors among the spouses of HIV/AIDS patients in Shanghai.MethodsA cross-sectional survey was conducted to collect demographic， behavioral， epidemiological and spousal HIV detection information of newly reported and married patients with HIV/AIDS in Shanghai from January 2018 to July 2022 in the comprehensive HIV prevention and control information system of Chinese Center for Disease Prevention and Control. Descriptive analysis was used to analyze the HIV positivity rate of the spouses of HIV patients and the influencing factors were analyzed by univariate and multivariate logistic regression models.ResultsA total of 1 233 subjects were investigated， and the first HIV-testing positivity rate of the spouses of HIV/AIDS patients was 29.3% （361/1 233）. There were statistically significant differences in the HIV-testing positivity rate among spouses of HIV/AIDS patients by different age， gender， education level， occupation， transmission route， quantity of non-marital sexual activities， quantity of homo-sexual activities， and baseline CD4 cell count level （P

ObjectiveTo determine the situation of vaccination certificate inspection and supplementary immunization among children attending kindergarten and primary school in Pudong New Area.MethodsThe study was conducted based on the annual report form“vaccination record inspection summary” of all community health service centers in Pudong New Area， Shanghai. Data related to vaccination certificate inspection and supplementary immunization among children attending kindergarten and primary school were retrieved in Pudong New Area from 2018 to 2021 and statistically analyzed.ResultsFrom 2018 to 2021， a total of 1 850 kindergartens and 887 primary schools in Pudong New Area inspected the vaccination certificates of children attending kindergarten and school，with a coverage rate of 100.00%. There were 375 407 children enrolled in kindergarten and primary school.A total of 373 820 children were inspected with an examination rate of 99.58%. The average certificate holding rate among children was 99.48%．The full-course immunization rate of eight national immunization programs vaccines was 94.95%. Furthermore， a total of 73 407 doses of eight national immunization vaccines were supplemented，with an average supplementary rate of 92.95%. The supplement rate increased annually．In terms of supplemented doses，the top three vaccines were meningococcal vaccine， measles vaccine and polio vaccine. As a vaccine of local immunization program in Shanghai， a total of 14 143 doses of varicella vaccine were supplemented with a supplementary rate of 86.99%.ConclusionIn Pudong New Area， vaccination certificate inspection of children attending kindergarten and primary school has been strictly performed . Inspection rate in the kindergartens and primary schools， children's certificate holding rate， full-course immunization rate and supplementary immunization rate remain high.

AIM: To evaluate the therapeutic effect of folic acid combined with decitabine on diabetic mice. METHODS: The diabetic model of db/db mice were randomly divided into model group, folic acid group, decitabine group, folic acid combined with decitabine group, and C57 mice as normal control group. The density of retinal blood vessels and retinal thickness were detected by fundus photography and optical coherence tomography, respectively. Pathological changes of retina were observed by hematoxylin-eosin (HE) staining. The homocysteine (Hcy) in serum was detected by enzyme linked immunosorbent assay (ELISA). TdT-mediated dUTP nick-end labeling (TUNEL) was used to detect apoptosis in retinal tissue. Evans blue dye was used to detect the permeability of retinal blood vessels. The platelet endothelial cell adhesion molecule-1 (CD31) and vascular endothelial growth factor receptor (VEGFR) protein were detected by Western blot. The 3-nitrotyrosine (3-NT) and 4-hydroxynonanine (4-HNE) were detected by immunohistochemistry. RESULTS: The density of retinal blood vessels, retinal thickness, retinal vascular permeability and the proportion of apoptotic cells of retinal tissue in the model group increased significantly than control group (P

In this study, a variable cross-sectional flexible pin of a megawatt wind turbine gearbox is taken as the research object, and the deflection curve equation of the variable cross-sectional flexible pin considering the influence of shear deformation is established. The deflection equation and slope-deflection equation of the variable cross-sectional flexible pin are obtained by using the Green's function method. The effectiveness of this method is verified by comparing with the calculation results of the engineering algorithm and the finite element method. The simulation model of the wind power gearbox is established using Romax software, and it is verified that the deformation characteristics of the variable cross-sectional flexible pin can improve the load distribution and load sharing coefficient. The influence of the supporting stiffness of the pin and gear mesh misalignment on the load sharing performance is investigated. The research results provide a theoretical basis for improving the load sharing performance of the wind turbine gearbox and the design optimization of the variable cross-sectional flexible pin.

Abstract Exploring the role of phase separation in intracellular compartment formation is an active area of research. However, the associations of phase separation with intestinal stem cell (ISC)-dependent regeneration and aging remain unclear. Here, we demonstrate that BuGZ, a coacervating mitotic effector, shows age- and injury-associated condensation in Drosophila ISC nuclei during interphase. BuGZ condensation promotes ISC proliferation, affecting Drosophila gut repair and longevity. Moreover, m6A reader YT521-B acts as the transcriptional and functional downstream of BuGZ. The binding of YT521-B promotor or m6A writer Ime4/ Mettl14 to BuGZ controls its coacervation, indicating that the promotor may accelerate the phase transition of its binding transcription factor. Hence, we propose that phase separation and m6A regulators may be critical for ameliorating ISC-dependent gut regeneration and aging and requires further study.

Abstract Objective The research was aimed to evaluate the subclinical left ventricular (LV) myocardial systolic dysfunction in T2DM patients with or without hypertension (HT) by global and segmental myocardial work (MW). Methods A total of 120 T2DM patients (including 60 T2DM patients with HT) and 70 sex- and age- matched normal controls were included. The global and segmental variables of work index (WI), constrictive work (CW), waste work (WW), work efficiency (WE), and CW/WW were analysed by non-invasive pressure-strain loop. Receiver operating characteristic (ROC) analysis was performed for detection the subclinical LV systolic dysfunction in T2DM patients with and without HT. Results The global work index (GWI), global CW (GCW), global WE (GWE), and GCW/global WW (GWW) of T2DM and T2DM patients with HT were significantly lower than normal controls (p

AZ91 alloy reinforced by carbon nanotubes coated with MgO（AZ91-MgO@CNTs） was prepared by powder metallurgy, hot extrusion and T4 treatment. The influences of MgO@CNTs content and load on the friction and wear property, surface wear morphology and debris topography of AZ91-MgO@CNTs composites were investigated under the dry sliding friction. The results show that MgO@CNTs can improve the wear properties of AZ91-MgO@CNTs. With increasing the content of MgO@CNTs, the strengthening effect of the wear properties of the composite increases and then decreases. Compared with AZ91-CNTs, AZ91-MgO@CNTs has smaller friction coefficient and lower abrasion loss, indicating that the MgO@CNTs is better than CNTs to improve the wear properties of AZ91 alloy. The main wear mechanism of AZ91-MgO@CNTs is abrasive wear under the load of 10 N. When the load is 50 N, there are three wear mechanisms appeared: abrasive wear, oxidation wear and adhesive wear.