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ObjectiveTo explore the ideal pretarsal shows and morphological characteristics of double eyelids in Chinese populations through a morphometric analysis.MethodsThis study employed a convenience sampling method to survey Chinese adults who did not reside abroad for an extended period (with cumulative overseas stay of over one year). From November 2023 to May 2024, electronic questionnaires were distributed to collect attractiveness ratings of nine different images (including one image featuring single eyelid and eight images with varying pretarsal shows and morphologies of double eyelids). Stratified comparisons were conducted based on gender, age, occupation, etc., to determine the ideal pretarsal show and morphology of double eyelids. Quantitative analysis was performed on the aesthetic features of the nine images depicting double eyelids to validate and elucidate the survey findings.ResultsA total of 493 questionnaires were filled out, and 397 valid questionnaires were included for data analysis after quality control. As for the whole cohort, the images feathering 2 mm double eyelid were deemed to be the most attractive, with the in-fold type scoring (3.72±0.97) points and the out-fold type scoring (3.65±1.04) points. The next was 1 mm, followed by 3 mm, single eyelid, and finally, 4 mm. As for morphology, in-fold type achieved higher scores than out-fold type in images with the same pretarsal show. However, statistically significant differences were only found in ratings for the images with 3 mm and 4 mm double eyelids (all P < 0.05). Stratified analysis based on gender, age, occupation, and other factors yielded results that were largely consistent with those of the overall population.The quantitative analysis of aesthetic characteristics of double eyelids revealed that when the pretarsal show was 2 mm, both the Chen's ratio of the in-fold and out-fold type were 0.630, which closely approximates the golden ratio.ConclusionsThis study validates that the pretarsal show of 2 mm and the presence of either an in-fold or out-fold morphology are considered optimal for double eyelids among Chinese individuals. These findings hold significant implications for the planning of double eyelid surgeries, assessment of surgical outcomes, and evaluation of other periocular procedures associated with double eyelid surgeries.

In recent years, the number of patients with vaginal relaxation has increased year by year, and the minimally invasive vaginal contraction has been carried out more and more widely in clinical practice, but the treatment normalization and safety have not been thoroughly studied. We summarized six cases of characteristics and treatment measures for patients with various complications after minimally invasive vaginal contraction surgery from September 2021 to December 2023 at Department of Plastic and Aesthetic Surgery, Peking Union Medical College Hospital. The patients' age ranged from 26 to 44 years. Two cases accepted vaginal contraction with embedded vaginal thread, and four accepted vaginal contraction with acellular allogenic dermis. One patient showed vaginal hyper-tightness, one patient showed subcutaneous suture nodules, two patients showed explosion of acellular allogenic dermis, and three patients showed vaginal infection symptoms such as yellow leucorrhea and peculiar smell. All patients had sexual pain and discomfort. One patient underwent vaginal orifice dilation, one patient underwent suture extraction and secondary vaginal contraction, one patient underwent acellular allogenic dermis extraction and immediate vaginal contraction, two patients underwent acellular allogenic dermis extraction and secondary vaginal contraction, and one patient underwent secondary vaginal contraction. The symptoms of all six patients were relieved after treatment. Despite the short operation time and fast postoperative recovery of minimally invasive vaginal contraction, there are still complications after surgery, causing physical and mental damage to patients. Plastic surgeons, therefore, should be cautious in the treatment process to avoid collateral damage, so that patients get the best treatment effect.

Facial anthropometry has profound importance in clinical diagnosis and the recognition of abnormal facial features. With the development of anthropometry, facial anthropometry has emerged as an independent research field and is widely applied in disciplines such as plastic surgery and cranio-maxillofacial surgery. This paper reviews the evolution of facial anthropometry and discusses its future trends in the context of artificial intelligence (AI). Currently, 3D facial imaging technology can accurately capture and reconstruct the three-dimensional morphology of facial soft tissues, and enhance the precision and objectivity of measurements, thus becoming the new "gold standard" for facial anthropometry. It not only provides reference for disease diagnosis and surgical planning but also plays a crucial role in evaluating cosmetic outcomes and aging research. In recent years, AI technology has developed rapidly, enabling direct recognition of abnormal facial features. Although facial recognition systems based on two-dimensional images are relatively mature, they have to struggle to fully capture facial features as they are limited by the dimensionality of information. While three-dimensional image-based recognition boasts high accuracy, it faces challenges in the recognition and classification of abnormal facial features due to limitations in the number of training samples. The integration of AI and facial anthropometry has effectively promoted automatic recognition technology for facial landmarks, thus providing more precise and interpretable methods for assessing disease-related facial features. Future research should focus on building reliable three-dimensional facial databases to further improve the accuracy of facial recognition. Additionally, developing facial recognition systems based on small sample sizes is necessary to provide robust support for the recognition of facial features associated with rare and special diseases.

Abstract Sugarcane molasses is an ideal economical raw material for ethanol production because of its wide availability, low cost and nutrient content. However, benzoic acid compounds with toxic effects on yeast cells are commonly found in sugarcane molasses. At present, the molecular mechanism of the toxic effects of benzoic acid on Saccharomyces cerevisiae has not been elucidated. Here, the toxic effect of exogenous benzoic acid on S. cerevisiae GJ2008 cells was studied, and the genes differentially expressed in S. cerevisiae GJ2008 after 1.2 g/L benzoic acid stress were identified via Illumina RNA-Seq technology. The results indicated that benzoic acid significantly inhibited yeast cell growth, prolonged their rapid growth period, and ultimately reduced their biomass. During ethanol fermentation using 250 g/L sucrose under 1.2 g/L benzoic acid stress, several adverse effects were observed, such as high residual sugar content, low ethanol concentration and low fermentation efficiency. In addition, the cell morphology was damaged, the cell membrane permeability increased, intracellular nucleic acid and protein leakage increased, and the malondialdehyde content significantly increased. Moreover, the cells protected themselves by significantly increasing the intracellular glycerol content. Fourier transform infrared spectroscopy proved that benzoic acid could reduce the degree of unsaturation and increase cell membrane permeability by changing the yeast cell wall and cell membrane composition, leading to cell damage and even death. Transcriptomic analysis revealed that under benzoic acid stress, the expression of genes associated with sucrose and starch metabolism, thiamine metabolism, the glycolysis pathway, fructose and mannose metabolism, galactose metabolism and ABC transporters was significantly downregulated. The expression of genes related to ribosomes, lipid metabolism, ribosome biosynthesis, nucleic acid metabolism, arginine and proline metabolism, RNA polymerase, metabolism related to cofactor synthesis, and biosynthesis of valine, leucine, and isoleucine was significantly upregulated. These results indicated that benzoic acid inhibited glycolysis and reduced sugar absorption and utilization and ATP energy supply in yeast cells. In response to stress, genes related to the ribosome bioanabolic pathway were upregulated to promote protein synthesis. On the other hand, the expression of ELO1, SUR4, FEN1 and ERG1 was upregulated, which led to extension of long-chain fatty acids and accumulation of ergosterol to maintain cell membrane structure. In conclusion, this paper provides important insights into the mechanism underlying the toxicity of benzoic acid to yeast cells and for realizing high-concentration ethanol production by sugarcane molasses fermentation.

Abstract Traffic density is a crucial indicator for evaluating the level of service, as it directly reflects the degree of road congestion and driving comfort. However, accurately predicting real-time traffic density has been a significant challenge in Intelligent Transportation Systems (ITS) due to the nonlinear and spatial-temporal dynamic complexity of traffic density. In this paper, we propose a novel Model-enhanced Spatial-Temporal Attention Network (MSTAN), which constructs a spatial-temporal traffic kernel density model using the Kernel Density Estimation (KDE) method to process the spatiotemporal data and calculate the probabilities of various spatiotemporal events. These probabilities are input into the attention mechanism, enabling the model to recognize the inherent connection between dynamic and distant events. Through this fusion, the network can deeply learn and analyze the spatial-temporal properties of traffic features. Furthermore, this paper utilizes the attention mechanism to dynamically model spatial-temporal dependencies, capturing real-time traffic conditions and density, and constructs a spatial-temporal attention module for learning. To validate the performance of the proposed MSTAN model, experiments are conducted on two public datasets of California highways (PeMS04 and PeMS08). The experimental results demonstrate that the MSTAN model outperforms existing state-of-the-art baseline models in terms of prediction accuracy, thus proving the effectiveness of the model both theoretically and practically.

ObjectiveTo compare and understand the trends in quality control data changes in public and private medical institutions specializing in plastic and aesthetic major in China over the past three years.MethodsThe national quality control center of plastic and aesthetic major formulated quality control indicators, collected indicator data through the National Clinical Improvement System, conducted feedback verification on the data, organized and summarized the final data, and convened expert committees to analyze the data change trends.ResultsIn the past three years, the number of both public and private medical institutions specializing in plastic and aesthetic major has shown an upward trend. The number of doctors increased significantly in 2022, with over 90% of doctors in public institutions (about 70% in private institutions) receiving higher education. In recent years, the proportion of doctors from other specialties engaging in plastic and aesthetic activities has increased. The proportion of inpatients seeking aesthetic treatments has also increased. Among outpatient patients, the proportion of injection procedures was relatively low. About one-third of private medical institutions have not yet adopted an electronic medical record system.ConclusionsData feedback is the cornerstone of medical quality control in Chinese plastic and aesthetic major. Existing data indicates that the related industry is developing steadily, but there is still room for improvement in terms of some indicator data. However, due to the limited data from private medical institutions, it is still necessary to encourage them to improve their reporting enthusiasm in order to conduct a more comprehensive assessment in the future.

Localized scleroderma (LoS) is a chronic autoimmune skin disorder characterized by fibrosis and hardening of the skin and subcutaneous tissues, potentially affecting deeper tissues and other organs. Currently, China lacks evidence-based guidelines for the diagnosis and management of LoS, which poses a challenge to disease recognition and leads to significant variation in treatment strategies across medical centers. To address this problem, we plan to establish a nationwide, multidisciplinary expert team through the Chinese Society of Plastic Surgery to initiate the development of the Chinese Guideline for the Diagnosis and Management of Localized Scleroderma. The guideline aims to standardize the diagnosis and treatment procedures for LoS, improve clinical diagnostic and therapeutic capabilities, and enhance patient outcomes through early identification and intervention. The guideline will adhere to international standards, with recommendations formed through evidence evaluation and multiple rounds of expert discussions. Although evidence-based data on LoS specific to the Chinese population is currently limited, and no unified gold standard for disease assessment exists, the clinical expertise of multidisciplinary specialists will play a pivotal role in the guideline's formulation. We anticipate that this guideline will provide LoS patients with higher-quality medical care and enhance patient awareness and engagement, which may ultimately help reduce social and healthcare burden. This proposal outlines the background, methodology, and anticipated value of the guideline, with the hope of providing guidance for its rigorous development and successful publication.

Abstract Light field imaging contains abundant scene structure information, which can improve the accuracy of salient object detection in challenging tasks and has received widespread attention. However, how to apply the abundant information of light field imaging to salient object detection still faces enormous challenges. In this paper, the lightweight attention and residual convLSTM network is proposed to address this issue, which is mainly composed of the lightweight attention-based feature enhancement module (LFM) and residual convLSTM-based feature integration module (RFM). The LFM can provide an attention map for each focal slice through the attention mechanism to focus on the features related to the object, thereby enhancing saliency features. The RFM leverages the residual mechanism and convLSTM to fully utilize the spatial structural information of focal slices, thereby achieving high-precision feature fusion. Experimental results on three publicly available light field datasets show that the proposed method surpasses the existing 17 state-of-the-art methods and achieves the highest score among five quantitative indicators.

This study introduces a pioneering design concept termed the “dual-feedback healing mechanism”, which investigates the relationship between oxidation products and protective coatings. Specifically, it focuses on channeling oxidation products generated at exposed cracks in the substrate to interact with the antioxidant coatings, enabling a self-repair mechanism for cracks. BNf/SiBN was chosen as the ceramic matrix, while the Si‒O‒Al system served as the antioxidant coating. The dynamic process of obtaining Si–O–Al (SOAC) coating involving the pyrolysis of organic precursors and the dual-feedback healing mechanism were systematically investigated. These findings indicate that when the temperature surpasses 1150 °C, the exposed BN fibers at the cracks are oxidized, transforming into B2O3(g). Subsequently, B2O3(g) reacts with SiO2, forming a SiBO mixture. The mixture effectively diminishes the viscosity of the coating, enabling it to flow and form a fresh protective layer that effectively blocks O2 infiltration. Consequently, after oxidation at 1500 °C, the coated samples experience a mere 3% weight loss. This technology emphasizes the interconnectivity during material transformation, utilizing matrix oxidation products as a driving force for self-healing of the coating. This approach achieves intelligent-like, targeted closure of oxygen pathways, thereby pioneering a novel concept and direction for the advancement of antioxidant coatings. Consequently, this approach not only enhances our understanding of the fundamental nature of “self-healing” but also holds significant potential in the development of reparable antioxidant coatings.

Biological reinforcement is a new branch that has developed in the field of engineering geology in recent years, among which, the microbially induced calcium carbonate precipitation (MICP) reinforcement technology is an effective method. MICP reinforcement technology utilizes the metabolic activity of widely existing microorganisms in nature to induce the precipitation of calcium carbonate with cementing and filling effects, thereby improving the strength of soil, reducing its permeability, and enhancing its engineering performance. Over the past two decades, significant progress has been made in theoretical research, model experiments, and field trials of MICP reinforcement technology. To promote a deeper understanding of MICP reinforcement technology, this paper systematically introduced the reinforcement mechanism and influencing factors of microbial-induced calcium carbonate reinforcement technology based on the current research on MICP reinforcement technology. In addition, the application of MICP reinforcement technology was discussed thoroughly. The current problems and challenges of MICP technology were analyzed in depth. The results show that the strengthening mechanism of MICP is formed based on microbial-induced mineralization, which includes the filling and cementation of soil pores by calcium carbonate precipitation. The influencing factors of the solidification effect of MICP mainly are the properties of bacterial solution and cementing solution, pH , temperature, soil type, and reinforcement method, by influencing the formation of calcium carbonate and cementing effect. The MICP reinforcement technology has shown great potential in soil reinforcement, crack resistance, impermeability, wind erosion resistance, and remediation of contaminated water/soil. At present, the MICP reinforcement technology still has some problems, including solidification uniformity, soil durability, economic benefits, environmental safety, and sustainability. To solve these problems, it is necessary to further integrate microbiology, soil mechanics, materials science, environmental science, and other disciplines to conduct in-depth research, which will help deepen the understanding of MICP reinforcement technology, promote MICP technology to achieve more comprehensive development in the engineering geological field, and further promote application of this technology.

Sepsis triggers myocardial injury and dysfunction, leading to a high mortality rate in patients. Cardiomyocyte apoptosis plays a positive regulatory role in septic myocardial injury and dysfunction. However, the mechanism is unclear.

Abstract Background In the management of complex diseases, the strategic adoption of combination therapy has gained considerable prominence. Combination therapy not only holds the potential to enhance treatment efficacy but also to alleviate the side effects caused by excessive use of a single drug. Presently, the exploration of combination therapy encounters significant challenges due to the vast spectrum of potential drug combinations, necessitating the development of efficient screening strategies. Methods In this study, we propose a prediction scoring method that integrates heterogeneous data using a weighted Bayesian method for drug combination prediction. Heterogeneous data refers to different types of data related to drugs, such as chemical, pharmacological, and target profiles. By constructing a multiplex drug similarity network, we formulate new features for drug pairs and propose a novel Bayesian-based integration scheme with the introduction of weights to integrate information from various sources. This method yields support strength scores for drug combinations to assess their potential effectiveness. Results Upon comprehensive comparison with other methods, our method shows superior performance across multiple metrics, including the Area Under the Receiver Operating Characteristic Curve, accuracy, precision, and recall. Furthermore, literature validation shows that many top-ranked drug combinations based on the support strength score, such as goserelin and letrozole, have been experimentally or clinically validated for their effectiveness. Conclusions Our findings have significant clinical and practical implications. This new method enhances the performance of drug combination predictions, enabling effective pre-screening for trials and, thereby, benefiting clinical treatments. Future research should focus on developing new methods for application in various scenarios and for integrating diverse data sources.

BackgroundEfficient bedside neurofunctional monitoring is crucial for managing disorders of consciousness (DoC). Ultrafast Power Doppler Imaging (uPDI) outperforms traditional Ultrasound in bedside for assessing the microcirculatory system. However, intracranial blood flow imaging traditionally faces limitations due to the skull’s impedance. This constraint is circumvented in common post-craniectomy DoC patients, who present a unique observational window for uPDI.MethodsWe conducted uPDI scans on five DoC patients of different ages and consciousness levels who had undergone decompressive craniectomy. We compared the imaging results from uPDI with traditional PDI and identified the physiological and pathological conditions with uPDI.ResultsDetailed microvascular images of both cortical and subcortical areas were obtained using uPDI through the craniectomy window. Notably, uPDI demonstrates high sensitivity and imaging depth, revealing microvessels as small as 320 μm in diameter at 4 cm depth, and detecting blood flow signals up to 6 cm beneath the scalp.ConclusionThrough the decompressive cranial windows of DoC patients, we obtained cerebral microvascular images with significantly higher sensitivity without the need for contrast agents.SignificanceOur research provides a novel bedside cerebral microcirculation imaging method for patients with DoC, offering convenient neurofunctional assessment to improve the clinical management of DoC patients.

Abstract Understanding the fine‐scale spatial distribution of heavy metal contamination is crucial for effective environmental capacity control and targeted treatment of polluted areas. This article presents the latest dataset on the occurrence of common heavy metals in the soils of the Yangtze River Basin. The dataset was compiled by reviewing peer‐reviewed literature published between 2000 and 2020. Rigorous quality control procedures were employed to ensure the accuracy of the data, including the extraction of detailed geographic locations and concentrations of heavy metals. The dataset includes 7867 records of heavy metal occurrences (Zn: 1045, Cu: 1140, Pb: 1261, Cr: 980, Cd: 1242, Ni: 649, As: 821, Hg: 729) in the soils of the Yangtze River Basin, distributed at four scale levels: province, prefecture, county, and township or finer. The results indicate that the distribution of heavy metal concentrations is relatively scattered, with higher concentrations in cities and regions with developed industry and agriculture. Cd has the highest exceedance rate (33.90%), indicating significant local contamination. Heavy metals, such as Zn at 11.96%, Ni at 12.63%, and As at 9.74%, also exceeded standard levels at certain sampling points. Cr had the lowest exceedance rate of 1.33%. This updated dataset provides essential information on the current status of heavy metals contamination in the soils of the Yangtze River Basin. It can be used for further ecological and health risk assessments and for developing strategies to remediate and prevent heavy metal contamination in the region.

Previously, eosinophils were primarily regarded as effector toxic cells involved in allergic diseases and parasitic infections. Nevertheless, new research has shown that eosinophils are diverse and essential for immune regulation and tissue homeostasis. Their functional plasticity has been observed in patients with inflammatory diseases, cancer, infections, and other disorders. Although eosinophils are infrequently observed within the liver during periods of homeostasis, they are recruited to the liver in various liver diseases, including liver parasitosis, acute liver injury, autoimmune liver disease, and hepatocellular carcinoma. Furthermore, eosinophils have demonstrated the capacity to promote liver regeneration. This article explores the multifaceted roles of eosinophils in liver diseases, aiming to provide insights that could lead to more effective clinical therapies for these conditions.

Objective: The potential survival benefits of adjuvant immunotherapy for resectable NSCLC after neoadjuvant chemoimmunotherapy, and the optimal number of adjuvant immunotherapy cycles, remain uncertain. This study aims to evaluate the prognostic impact of adjuvant immunotherapy and determine the optimal number of cycles. Methods: A total of 438 patients who received neoadjuvant chemoimmunotherapy between August 2019 and June 2022 across four hospitals were enrolled in this study, with a median follow-up time of 31.3 months. Recurrence-free survival (RFS) and overall survival (OS) were estimated using Kaplan-Meier methods and tested by log-rank test. Unstratified Cox proportional hazards models were fitted to the subgroups. Results: In this multi-center cohort, 29.7% of patients (n = 130) achieved a pathologic complete response. Patients who received adjuvant immunotherapy experienced significant survival benefits compared with those who did not (RFS: hazard ratio [HR] = 0.63, 95% confidence interval: 0.41–0.98, p = 0.037; OS: hazard ratio = 0.27, 95% confidence interval: 0.13–0.57, p < 0.001). Subgroup analyses found that patients with a squamous histologic type, positive PD-L1 expression, and those with a major pathologic response particularly benefited from adjuvant immunotherapy. In addition, we found that six cycles of adjuvant immunotherapy served as a threshold for better prognostic differentiation, suggesting that six or more cycles may be more beneficial. Conclusions: Our study found that the addition of adjuvant immunotherapy to neoadjuvant chemoimmunotherapy is significantly associated with improved RFS and OS in patients with resectable NSCLC. We also identified that six cycles of adjuvant immunotherapy may be the optimal regimen for these patients.

ObjectiveThis research project aimed to identify and analyze the top 30 drugs most commonly associated with kidney stone formation using data from the U.S. Food and Drug Administration’s Adverse Event Reporting System (FAERS) database. The study will focus on determining the reported Odds ratio (ROR) and Proportional Report ratio (PRR) of each identified drug to assess its potential risk of contributing to the development of kidney stones in order to effectively manage and reduce the overall burden of kidney stones worldwide.BackgroundKidney stones are a common urinary system disease, and their formation is influenced by multiple factors, including medications, metabolic syndrome, environmental factors, genetic susceptibility, urinary tract abnormalities, and obstructive pathology. Among these factors, medications are an important and clearly defined cause of kidney stone formation. Currently, drug-induced kidney stones account for 1%–2% of all cases of kidney stones. Although the proportion may appears modest, its contribution to the overall prevalence of kidney stones should not be overlooked. The high incidence and frequent recurrence of kidney stones pose significant challenges to prevention efforts. Therefore, a thorough understanding of which medications may trigger stone formation is crucial for effectively managing and reducing the burden of this global health issue.MethodThis study utilized the FDA Adverse Event Reporting System (FAERS) database maintained by the U.S. Food and Drug Administration to extract raw data from 1 January 2010, to 31 March 2024. Duplicate data was removed following the FDA-recommended method. Subsequently, data related to drug-induced kidney stones was extracted by linking the DEMO table, DRUG table, and REAC table using specific primaryid numbers, resulting in a total of 37,781 drug records and 37,027 demographic records. The data was sorted based on the frequency of drug-induced kidney stones, and the top 30 drugs associated with kidney stone formation were selected for analysis. The primary analytical methods employed were disproportionality analyses, calculating the Reporting Odds Ratio (ROR) with its 95% Confidence Interval (CI) and Proportional Reporting Ratio (PRR) to reveal the association between drugs and adverse kidney stone events.ResultsWe ranked the 30 most common drugs based on their ROR and PRR values. The three drugs most commonly associated with kidney stones were Atazanavir (ROR 46.35, 95% CI 43–50, PRR 44.9), Topamax (ROR 19.44, 95% CI 17.66–21.40, PRR 19.19), and Prevacid (ROR 12.67, 95% CI 11.62–13.82, PRR 12.57). Drug categories most commonly associated with kidney stones were antiretroviral drugs, proton pump inhibitors, and antiepileptic drugs.ConclusionOur research has summarized a list of potential drug categories associated with kidney stones. Clear understanding of the risk and frequency of drug-induced kidney stones caused by specific medications can reduce the likelihood of patients developing the condition. Clinical doctors should keep vigilant during diagnosis and treatment processes, and communicate relevant risk information to patients.

The TC4 alloy has become an ideal material for marine engineering due to its excellent corrosion resistance, high specific strength and light weight in seawater. However, components made from TC4 alloys often come into contact with parts such as propellers and turbine engine blades, leading to severe fretting wear during operation and significantly reducing their service life. In this study, the untreated TC4 alloy samples were used as the control group, and the samples after 240 min of surface mechanical attrition treatment (SMAT) were selected to investigate the fretting wear behavior under different load conditions in artificial seawater environment. The results show that the friction coefficient of TC4 alloy remains relatively unaffected by load variations, both before and after SMAT treatment. With the increase of load, the fretting regime gradually changed from gross slip to partial slip, and the wear depth, volume and wear rate increased. Under the same load, the wear volume of TC4 alloy after SMAT treatment is significantly reduced, indicating that its wear performance has been improved.

In this study, we evaluated the copy number variation in the genomes of two groups of Beichuan-white goat populations with large differences in litter size by FST method, and identified 1739 genes and 485 missense mutations in the genes subject to positive selection. Through functional enrichment, ITGAV, LRP4, CDH23, TPRN, RYR2 and CELSR1 genes, involved in embryonic morphogenesis, were essential for litter size trait, which received intensive attention. In addition, some mutation sites of these genes have been proposed (ITGAV: c.38C > T; TPRN: c.133A > T, c.1192A > G, c.1250A > C; CELSR1: c.7640T > C), whose allele frequencies were significantly changed in the high fecundity goat group. Besides, we found that new mutations at these sites altered the hydrophilicity and 3D structure of the protein. Candidate genes related to litter size in this study and their missense mutation sites were identified. These candidate genes are helpful to understand the genetic mechanism of fecundity in Beichuan white goat, and have important significance for future goat breeding.

Background: The Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria were proposed for predicting bleeding risk in patients undergoing percutaneous coronary intervention (PCI). However, there is a lack of research evaluating the risk of in-hospital bleeding following PCI for acute coronary syndrome (ACS) utilizing the ARC-HBR criteria. Methods and results: This study involved 1013 ACS patients who underwent PCI and dual antiplatelet therapy. There were 63 cases of in-hospital bleeding events (6.22 %). According to the ARC-HBR criteria, patients classified as HBR had a significantly greater bleeding rate than non-HBR patients (15.81 % vs. 1.99 %, p

Eggs, a rich source of protein, vitamins, and minerals, rapidly decline in nutritional quality post-laying due to physicochemical changes, exacerbated by poor storage. Chitosan, a biodegradable antibacterial polysaccharide, has the ability to enhance the preservation of egg when it combined with Slightly acidic hypochlorous water (SAHW). This study investigates the potential of chitosan-SAHW composite films for preserving egg quality by systematically evaluating the films’ properties across different SAHW concentrations. Results showed increased film density and decreased moisture content with SAHW addition. Optimal mechanical properties were observed at 20 mg/L SAHW, while 40 mg/L SAHW films were most effective against microbes. Eggs coated with these films, especially at 20 mg/L and 30 mg/L SAHW, maintained quality significantly better over 49 days, reducing weight loss, preserving the Haugh unit, and stabilizing pH. These findings suggest chitosan-SAHW films effectively extend egg shelf life, warranting further research for broader applications.

Double elastic shock waves are rarely observed in two-dimensional (2D) materials and normally unexpected for elastically isotropic 2D crystals such as graphene. With large-scale molecular dynamics simulations, we show that in single-crystal graphene shock-loaded along nonzigzag and nonarmchair directions, double elastic shock waves (quasilongitudinal and quasitransverse) can emerge. Quantitative acoustic wave equation analysis reveals that shock-induced symmetry reduction in lattice, as well as in elastic stiffness tensor, gives rise to the normally unexpected quasitransverse wave following the quasilongitudinal wave. [ABSTRACT FROM AUTHOR]

The incidence of malnutrition is approximately 88% in patients with head and neck receiving radiotherapy. Malnutrition may increase the occurrence of radiation-related adverse effects, decrease the treatment effectiveness of radiotherapy, and negatively impact the quality of life. This study aims to explore the efficacy of quantitative targeted exercise combined with full-scale refined nutrition management for improving nutrition in patients with head and neck cancer receiving radiotherapy. Eighty patients with head and neck cancer receiving radiotherapy were randomly divided into two groups: a full-scale refined nutrition management (FRNM) group and a quantitative targeted exercise combined with FRNM (QE-FRNM) group at a ratio of 1:1. Before radiotherapy, the energy ratio of all patients were calculated for implemented FRNM and diet guide. Patients in the QE-FRNM group received FRNM combined with a 6-week quantitative target exercise program (aerobic exercise or elastic band resistance exercise). This program was developed as a personalized plan based on the patient's mobility, as discussed by the team. It was scheduled for 5 times a week, lasting 15 minutes each session. The primary endpoint was the BIM value after one month of radiotherapy. The secondary endpoints included the level of albumin and hemoglobin, the grade of radiation-induced oral mucositis, psychological state and quality of life (Qol). The baseline characteristics in two groups were well balance. Patients in QE-FRNM group had better BMI than these in FRNM group (19.24±3.64 vs. 17.44±3.71, p=0.032). Patients in QE-FRNM group had higher levels of Alb and Hb than these in FRNM group (Alb: 42.65±4.07 g/L vs.36.41±3.29 g/L, p=0.001; Hb: 132.94±10.06 g/L vs.105.39±9.85 g/L, p=0.000). The incidence of grade 3-4 radiation-induced oral mucositis was significantly lower in QE-FRNM group compared with FRNM group (30% vs. 52%, p=0.024). The SAS anxiety scores after radiotherapy were significantly lower in patients receiving QE-FRNM compared with patients receiving FRNM (38.35±1.25 vs. 47.56 ±1.62, p=0.002). QE-FRNM significantly improved Qol compared to FRNM for patients receiving radiotherapy (9.61±0.4 vs. 8.63±0.27, p=0.000). Quantitative target exercise combined with full-course refined nutrition management could improve the nutritional status, reduce the incidence of oral mucositis, relieve the anxiety and improve the Qol for patients with head and neck cancer receiving radiotherapy. This study was registered with the China Clinical Trial Center (registration number: ChiCTR2300071214). [ABSTRACT FROM AUTHOR]

Radiation therapy is an important treatment for patients with head and neck cancer. Due to the influence of cancer itself and the damage of normal tissue caused by radiation therapy, patients often experience various side effects such as dysphagia, oral mucositis, pain and dry mouth. These symptoms not only decrease the patient quality of life, but also lead to negative effects for patient prognosis. Therefore, how to effectively manage and control these symptoms is an important issue in patient with head and neck tumors receiving radiotherapy. The new symptom management model based on (Patient-reported Outcomes, PRO) can monitor the status of patients in real time by self-reporting symptom information, and discover abnormal symptoms in time and deal with them according to preset warning values. Several studies showed that PRO-based symptom management improved patient clinical outcomes, reduced complications, and increased patient satisfaction. We hypothesized that the model based on PRO-active symptom management could effectively reduce patient complications, improve patient quality of life, and increase patient satisfaction. This study was a prospective randomized controlled clinical study. Patients with head and neck tumor receiving radiotherapy were randomly divided into two groups: PRO-based symptom management group (intervention group) and usual care group (control group). A total of 110 patients with aged 18-70 years old were planned to enrolled in this study. All patients received intensity modulated radiation therapy (IMRT), with a total dose of 60-66Gy. Patients in intervention group fill in a scale one week before radiotherapy and every week after radiotherapy to actively report their symptoms, functional status, quality of life and other information. The system automatically monitors the extent of the patient's symptoms and judges their severity. When the preset score of target symptoms (fatigue, dry mouth, decreased appetite, oral mucosal irritation, pain, etc.) exceed the warning value (≥4 points), the study nurse will report to the doctor, and then the doctor will take the appropriate symptom intervention measures for the patient according to the warning symptom score. In the control group, patients only receive routine care and symptom monitoring without symptom monitoring. The primary endpoint was to compare patients' complication between the two groups during radiotherapy, and the secondary endpoints included grade of symptom severity and quality of life. Inapplicability. Inapplicability. [ABSTRACT FROM AUTHOR]