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Background: Autism spectrum disorder (ASD) is a multifactorial, pervasive, neurodevelopmental disorder, of which intestinal symptoms collectively represent one of the most common comorbidities. Methods: In this study, 1,222 children with ASD and 1,206 typically developing (TD) children aged 2-7 years were enrolled from 13 cities in China. Physical measurement and basic information questionnaires were conducted in ASD and TD children. The Childhood Autism Rating Scale (CARS), Social Responsiveness Scale (SRS), and Autism Behavior Checklist (ABC) were used to evaluate the clinical symptoms of children with ASD. The six-item Gastrointestinal Severity Index (6-GSI) was used to evaluate the prevalence of intestinal symptoms in two groups. Results: The detection rates of constipation, stool odor, and total intestinal symptoms in ASD children were significantly higher than those in TD children (40.098% vs. 25.622%, 17.021% vs. 9.287%, and 53.601% vs. 41.294%, respectively). Autistic children presenting with intestinal comorbidity had significantly higher scores on the ABC, SRS, CARS, and multiple subscales than autistic children without intestinal symptoms, suggesting that intestinal comorbidity may exacerbates the core symptoms of ASD children. Conclusion: Intestinal dysfunction was significantly more common in autistic than in TD children. This dysfunction may aggravate the core symptoms of children with ASD.

Abstract The rapid development of UAV communication technology makes it have application potential in wireless systems. However, for the optimization problem of UAV base station providing communication for ground personnel in the disaster area under special natural disasters, traditional deep reinforcement learning is used. Algorithms cannot solve such problems well. This article proposes the AD3QN algorithm combined with the attention mechanism, which can communicate with disaster victims on the ground better and more quickly, providing better information collection for rescue missions and completing the task of communication optimization. In the mission simulation environment, in order to make the environment more realistic, we innovatively designed the ground user distribution model, air-to-ground communication model, and electromagnetic interference model. Finally, the effect of the proposed algorithm is evaluated by comparing different deep reinforcement learning algorithms. The results show that the algorithm we proposed can provide communication services faster and has higher practicability in terms of algorithm.

Abstract Background and purpose To determine the risk factors for puncture-related complications after the distal transradial approach (dTRA) for cerebrovascular angiography and neuroendovascular intervention and to explore the incidence and potential mechanisms of procedural failure and puncture-related complications. Materials and methods From February to November 2023, 62 patients underwent dTRA in our department. Demographic, clinical, and procedural data were collected retrospectively. Postoperative puncture-related complications were defined as a syndrome of major hematoma, minor hematoma, arterial spasm/occlusion, arteriovenous fistula, pseudoaneurysm, and neuropathy. Univariate and multivariate logistic regressions were performed to identify significant factors contributing to puncture-related complications. Results Forty-five diagnostic cerebral angiograms and 17 neurointerventions were performed or attempted with dTRA in 62 patients. Procedural success was achieved via dTRA in 47 (75.8%) patients, whereas 15 (24.2%) required conversion to other approaches. Reasons for failure included puncture failure (n = 8), inability to cannulate due to arterial spasm (n = 6), and inadequate catheter support of the left vertebral artery (n = 1). 17.0% (8/47) of patients had postoperative puncture-related complications. Minor hematoma occurred in 8.5% (4/47) of patients, arterial spasm/occlusion in 6.3% (3/47), and neuropathy in 2.1% (1/47). No major complications were observed. On stepwise multivariable regression analysis, BMI (OR = 0.70, 95%CI 0.513 to 0.958; p = 0.026) was an independent risk factor for puncture-related complications, with a cut-off of 24.8 kg/m2 (sensitivity 66.7% and specificity 87.5%). Conclusion Our cohort is the first study of risk factors for puncture-related complications after neurointerventional interventions with dTRA. This study has shown that a low BMI (

Abstract Neurons often grow highly branched and cell-type specific dendrite morphologies to receive and integrate information, which is the basis of precise neural circuit formation. Previous studies have identified numerous mechanisms that promote dendrite branching. In contrast, it is much less understood how this process is negatively regulated. Here we show that EAT-17/EVI5 acts together with the dynein adaptor protein BICD-1 and the motor protein dynein in C. elegans epidermal cells to restrict branching of PVD sensory dendrites. Loss-of-function mutants of these genes cause both ectopic branching and accumulation of the dendrite branching ligand SAX-7/L1CAM on epidermal plasma membranes. Mutants of genes regulating endo-lysosomal trafficking, including rab-5/RAB5 and dyn-1/DNM1, show similar defects. Biochemical characterization, genetic analysis, and imaging results support that EAT-17 and BICD-1 directly interact with each other and function in the endocytic degradation pathway to remove ectopically localized dendrite branching ligands to restrict abnormal branching.

Earth’s near space, located in the region between 20 and 100 km above sea level, is characterized by extreme conditions, such as low temperature, low atmospheric pressure, harsh radiation, and extreme dryness. These conditions are analogous to those found on the surface of Mars and in the atmosphere of Venus, making Earth’s near space a unique natural laboratory for astrobiological research. To address essential astrobiological questions, teams from the Chinese Academy of Sciences (CAS) have developed a scientific balloon platform, the CAS Balloon-Borne Astrobiology Platform (CAS-BAP), to study the effects of near space environmental conditions on the biology and survival strategies of representative organisms in this terrestrial analog. Here, we describe the versatile Biological Samples Exposure Payload (BIOSEP) loaded on the CAS-BAP with respect to its structure and function. The primary function of BIOSEP is to expose appropriate biological specimens to the harsh conditions of near space and subsequently return the exposed samples to laboratories for further analysis. Four successful flight missions in near space from 2019 to 2021 have demonstrated the high reliability and efficiency of the payload in communicating between hardware and software units, recording environmental data, exposing sample containers, protecting samples from external contamination, and recovering samples. Understanding the effects of Earth’s near space conditions on biological specimens will provide valuable insights into the survival strategies of organisms in extreme environments and the search for life beyond Earth. The development of BIOSEP and associated biological exposure experiments will enhance our understanding of the potential for life on Mars and the habitability of the atmospheric regions of other planets in the solar system and beyond.

BackgroundPrevious research on chlorinated paraffins (CPs) in fine particulate matter (PM2.5) has predominantly focused on short- and medium-chain chlorinated paraffins (SCCPs and MCCPs), and few studies could simultaneously determine short-, medium-, and long-chain chlorinated paraffins (LCCPs). Simultaneous extraction and determination of SCCPs, MCCPs, and LCCPs in PM2.5 could provide technical support for their environmental monitoring and human health risk assessment.ObjectiveTo establish a method based on QUEChERS pretreatment method in conjunction with ultra-performance liquid chromatography-quadrupole/orbitrap high resolution mass spectrometry for simultaneously determining the levels of SCCPs, MCCPs, and LCCPs in PM2.5. MethodsThe extraction solvents, extraction salts, and extraction steps of a QuEChERS method were optimized. The extraction efficiencies of the target substances were compared under 4 extraction solvents [acetonitrile, dichloromethane, and n-hexane solvents in sequence; acetonitrile: dichloromethane: n-hexane = 1: 1: 2 (v/v/v) mixed solvent; 1% acetic acid-acetonitrile: dichloromethane: n-hexane = 1: 1: 1 (v/v/v) mixed solvent; acetonitrile: dichloromethane: n-hexane = 1: 1: 1 (v/v/v) mixed solvent], 2 dehydrated salts (anhydrous MgSO4+NaCl and anhydrous Na2SO4+NaCl), 2 purification salts (C18 and PSA), and 4 vortex time (5, 7.5, 10, and 12.5 min) conditions. Then internal standard was utilized to estimate linear range and detection limit of the refined QuEChERS approach. ResultsThe linearities of SCCPs, MCCPs, and LCCPs were good in the range of 10~1000 ng·mL−1 with the correlation coefficients all greater than 0.96. The method detection limits (MDLs) ranged from 0.01 to 0.29 ng·m−3. The spiked recoveries of SCCPs, MCCPs, and LCCPs at the low, medium, and high concentrations were 77.38%-81.64%, 93.11%-99.78%, and 87.41%-101.39%, respectively, and the relative standard deviations (RSDs) were 2.90%-12.84%. This method was used to determine the CPs levels in 11 PM2.5 samples from Shijiazhuang. The positive rates of ∑SCCPs, ∑MCCPs, and ∑LCCPs were all 100%, the concentration ranges were 0.24-2.18 ng·m−3 (mean 0.84 ng·m−3), 0.17-1.67 ng·m−3 (mean 0.70 ng·m−3), and 0.01-0.16 ng·m−3 (mean 0.04 ng·m−3), respectively, and the percentages to ΣCPs were 52.95%, 44.39%, and 2.66%, respectively. ConclusionThe method established in this study is simple, time-saving, solvent saving, and can simultaneously detect SCCPs, MCCPs, and LCCPs in PM2.5, which is suitable for the determination of PM2.5 samples in large quantities, and can also provide a reference for the detection methods of other halogenated organic compounds in PM2.5.

Abstract Supramolecular polymers possess great potential in catalysis owing to their distinctive molecular recognition and dynamic crosslinking features. However, investigating supramolecular electrocatalysts with high efficiency in oxygen reduction reaction to hydrogen peroxide (ORHP) remains an unexplored frontier. Herein, we present organic polymers for ORHP by introducing cyclodextrin-containing noncovalent building blocks, affording these supramolecules with abundant dynamic bonds. The electronic states and reaction kinetics are further well-modulated via a host-guest strategy, resulting in appropriate regional electron binding force and controllable chemical activity. Notably, integrating supramolecular units into phenyl group-containing model covalent polymer achieves a production rate of 9.14 mol g−1 cat h−1, with 98.01% Faraday efficiency, surpassing most reported metal-free electrocatalysts. Moreover, the dynamic bonds in supramolecular catalysts can effectively regulate the binding ability of oxygen intermediates, leading to high reactivity and selectivity for the 2e− pathway. Supported by theory calculation and in situ experiment, C atoms (site–1) adjacent to the –C = N (N) group are potential active sites. This work pioneers host-guest strategy and provides inspiring ideas for the ORHP process.

Abstract Phase change materials have been widely exploited in active metasurfaces due to their large index contrast. Despite recent advances in phase-change metasurfaces, it remains a challenge to integrate diverse reconfigurable optical functionalities into a single metasurface. Here, we demonstrate an effective strategy to realize reconfigurable wavefront control by combining a Ge2Sb2Te5-rod array with laser writing technology. Through arbitrarily modifying the position and power of laser source, the laser writing process helps to realize site-selective and multi-level phase change of Ge2Sb2Te5 rods. Due to multi-level switching for optical properties of Ge2Sb2Te5 material, the Ge2Sb2Te5-rod array offers complete phase control and high amplitude modulation. Subsequently, various optical devices are designed in numerical simulation, including a phase-only hologram, dynamic meta-deflectors, a grayscale image and a perfect absorber. The structured Ge2Sb2Te5-based metasurface with the combination of laser writing technology offers an effective way to explore various types of optical functionalities in the same device.

Abstract Objective This meta-analysis aims to compare the clinical efficacy of mesh non-fixation and fixation in laparoscopic transabdominal preperitoneal (TAPP) inguinal hernia repair, systematically evaluating the application value of the mesh non-fixation technique in clinical settings. Methods A computerized search of PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov databases was conducted to identify randomized controlled trials (RCTs) comparing mesh non-fixation and fixation in TAPP inguinal hernia repair. Meta-analysis was performed using RevMan 5.3 software, and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) evidence grading system was employed for outcome quality assessment. Publication bias analysis was performed using Begg’s test. A trial sequential analysis (TSA) was performed using TSA 0.9.5.10 Beta software. Results A total of nine RCTs involving 1,879 inguinal hernia patients were included. Meta-analysis results demonstrated that, compared to the fixation group, the non-fixation group exhibited significantly lower seroma occurrence rate [RR = 0.43, 95% CI (0.20, 0.89), P = 0.02, heterogeneity P = 0.28, I²=22%], Visual Analog Scale (VAS) pain score at 6 months postoperatively [MD=-0.21, 95% CI (-0.29, -0.12), P

Abstract Purpose Mutations in ARID1A frequently occur in colorectal cancer (CRC) cells. However, there are currently no clinical treatment options specifically addressing this aberration. The preliminary in vitro experiments revealed a synthetic lethal interaction between ARID1A and Aurora kinase A (AURKA) in colorectal cancer (CRC) cells. Methods We collected samples from 80 CRC patients and evaluated the efficacy of AURKA inhibitor (AURKAi) using the ATP-tumor chemosensitivity assay (ATP-TCA) on untreated ARID1A-proficient (ARID1A +) and ARID1A-deficient (ARID1A-) CRC patient samples. In addition, we validated this result by a clonogenic assay. Additionally, we examined the effects of AURKA inhibitors on cell cycle progression and apoptosis in ARID1A + and ARID1A- CRC patient samples using flow cytometry. Results The results showed that AURKAi selectively inhibited the growth of ARID1A- CRC cells. Furthermore, AURKA inhibitors significantly increased G2/M arrest and induced apoptosis in ARID1A- cells. Conclusion We believe that AURKAi hold promise as potential therapeutics for ARID1A mutation colorectal cancer patients.

Introduction: Escherichia coli (E. coli) is a significant commensal gram-negative bacterium that can give rise to various diseases. The roles of Toll-like receptor 2 (TLR2) and the NOD-like receptor pyrin domain-containing protein 3 (NLRP3) inflammasome in sepsis induced by E. coli infection remain unclear. Methods: In vivo, we investigated differences in mortality, production of inflammatory mediators, organ damage, neutrophil count, and bacterial load during E. coli infection in C57BL/6J mice, as well as in mice deficient in TLR2 or NLRP3. In vitro, we investigated the impact of E. coli on the activation of TLR2 and NLRP3 in macrophages and the influence of TLR2 and NLRP3 on the activation of inflammatory signaling pathways and the secretion of inflammatory mediators in macrophages induced by E. coli infection. Results: TLR2-deficient (TLR2−/−) and NLRP3-deficient (NLRP3−/−) mice exhibit significantly increased mortality and organ damage after E. coli infection. These mice also show elevated levels of TNF-α and IL-10 in serum and peritoneal lavage fluid. Additionally, TLR2−/− and NLRP3−/− mice display heightened neutrophil recruitment and increased bacterial load in the blood. Furthermore, macrophages from these mice demonstrate a significant reduction in the activation of the MAPK signaling pathway. Conclusion: TLR2 and NLRP3 play crucial roles in modulating inflammatory mediator expression, immune cell recruitment, and bactericidal activity, thereby preventing excessive tissue damage and reducing mortality in E. coli-induced sepsis.

Abstract The conversion of methanol over zeolites offers a sustainable alternative for fuels and chemicals production. However, a complete understanding of the competing reaction pathways, particularly those leading to C-C bond formation, remains elusive. This work presents a novel mechanism for selective methanol conversion in ZSM-5 zeolites, involving a Brønsted acid site (BAS)-mediated Meerwein–Ponndorf–Verley (MPV) reduction pathway. Employing a multidimensional solid-state NMR spectroscopy combined with isotopic labeling and theoretical calculations, we identify this pathway for acetaldehyde reduction with methanol, directly contributing to ethene formation. This mechanism, involving carbenium ion intermediates like 1-hydroxyethane or 1-methoxyethane ions, contrasts with the well-established Lewis acid-catalyzed MPV process. Based on reactant adsorption modes, we propose two distinct reaction routes for BAS-MPV reduction, bridging the gap between direct and hydrocarbon pool mechanisms in methanol conversion. We further demonstrate the applicability of this pathway to acetone, highlighting its broader role in the early stages of the reaction.

Highlights The review provides a brief overview of the basic structure, operating mechanism, and key performance indicators of flexible graphene field-effect transistors. The review details the preparation strategy of flexible graphene field-effect transistors focusing on material selection and patterning techniques. The review analyzes the latest strategies for developing wearable and implantable flexible biomedical sensors based on flexible graphene field-effect transistors.

Abstract Background Androgen insensitivity syndrome (AIS) is a rare genetic disorder characterized by resistance to androgens, mainly due to mutations in the androgen receptor (AR) gene. It can manifest as complete AIS, partial AIS and mild AIS. While there have been studies linking specific AR gene mutations to AIS phenotypes, different clinical AIS phenotypes are also reported in patients with the same AR gene mutation. So far, the precise correlations between phenotypes and genotypes remain incompletely understood. Methods We conducted a thorough investigation involving four patients diagnosed with different types of AIS from a single Chinese family. Clinical manifestations, laboratory examinations, and fertility outcomes were well-documented. Furthermore, we performed genetic sequencing to detect possible pathogenetic variants. Results Whole exome sequencing identified a hemizygous missense variant (c.2263T > C; p.Phe755Leu) of AR gene in all four affected patients with different degrees of undermasculinisation and heterogeneous spermatogenesis. The proband, diagnosed with partial AIS, opted for treatment with donated sperm due to non-obstructive azoospermia, while their older sibling, diagnosed with complete AIS, was raised as a girl. His two maternal uncles were both diagnosed with mild AIS, the older uncle fathered two girls naturally, whereas the younger uncle utilized assisted reproductive technology to conceive a boy because of severe oligoasthenozoospermia. Conclusion Our study first identified the same AR variant (c.2263T > C;p.Phe755Leu) in four affected patients displaying highly diverse phenotypes of AIS and fertility outcomes, thereby significantly expanding the phenotypic spectrum of AIS. Notably, we presented a clear insight into different fertility outcomes of AIS patients with identical AR (c.2263T > C;p.Phe755Leu) variant, which provided reliable evidence that males harboring this variant may obtain biological offspring naturally or in combination with assisted reproductive technology. Furthermore, our study underscored the potential role of androgen concentration in shaping the phenotypic diversity of AIS, warranting further investigation.

Abstract Rapid glucose supply is crucial for animal survival during stress response. How the timescale of stress-induced glucose release precisely controlled by hypothalamic corticotropin-releasing hormone (CRH) neurons remains unclear. Here, we show that stress-induced hyperglycemia can be divided into at least two stages in male mice: the first fast stage is mediated by hypothalamus (paraventricular to ventromedial hypothalamus)-sympathetic (raphe pallidus nucleus to intermediolateral nucleus)-liver (HSL) axis activity; the second delayed stage is mediated by adrenal activity. Blocking the activity of HSL axis impairs predatory evoked flight responses, indicating that the HSL pathway activity is necessary for stress coping. We further reveal the intracellular signal cascade for CRH signal in the hypothalamus, which is mediated by GABAA receptor β3 subunit phosphorylation at S408/409, results in prevention of GABAA receptor membrane recruitment. Thus, we uncovered the precise timescale of glucose supply during stress which is mediated by adrenal independent HSL and adrenal dependent pathway respectively.

Abstract Aims The value of the systemic immune‐inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF). Methods This analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi‐acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan–Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose–response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality. Results The Kaplan–Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 109/L) was significantly greater than that in the low SII group (SII

Abstract The microscopic reaction pathway plays a crucial role in determining the electrochemical performance. However, artificially manipulating the reaction pathway still faces considerable challenges. In this study, we focus on the classical acidic water oxidation based on RuO2 catalysts, which currently face the issues of low activity and poor stability. As a proof-of-concept, we propose a strategy to create local structural symmetry but oxidation-state asymmetric Mn4-δ-O-Ru4+δ active sites by introducing Mn atoms into RuO2 host, thereby switching the reaction pathway from traditional adsorbate evolution mechanism to oxide path mechanism. Through advanced operando synchrotron spectroscopies and density functional theory calculations, we demonstrate the synergistic effect of dual-active metal sites in asymmetric Mn4-δ-O-Ru4+δ microstructure in optimizing the adsorption energy and rate-determining step barrier via an oxide path mechanism. This study highlights the importance of engineering reaction pathways and provides an alternative strategy for promoting acidic water oxidation.

Abstract Background The impact of dynamic changes in the degree of atherosclerosis on the development of prediabetes remains unclear. This study aims to investigate the association between cumulative atherogenic index of plasma (CumAIP) exposure during follow-up and the development of prediabetes in middle-aged and elderly individuals. Methods A total of 2,939 prediabetic participants from the first wave of the China Health and Retirement Longitudinal Study (CHARLS) were included. The outcomes for these patients, including progression to diabetes and regression to normal fasting glucose (NFG), were determined using data from the third wave. CumAIP was calculated as the ratio of the average AIP values measured during the first and third waves to the total exposure duration. The association between CumAIP and the development of prediabetes was analyzed using multivariable Cox regression and restricted cubic spline (RCS) regression. Results During a median follow-up period of 3 years, 15.21% of prediabetic patients progressed to diabetes, and 22.12% regressed to NFG. Among the groups categorized by CumAIP quartiles, the proportion of prediabetes progressing to diabetes gradually increased (Q1: 10.61%, Q2: 13.62%, Q3: 15.65%, Q4: 20.95%), while the proportion regressing to NFG gradually decreased (Q1: 23.54%, Q2: 23.71%, Q3: 22.18%, Q4: 19.05%). Multivariable-adjusted Cox regression showed a significant positive linear correlation between high CumAIP exposure and prediabetes progression, and a significant negative linear correlation with prediabetes regression. Furthermore, in a stratified analysis, it was found that compared to married individuals, those who were unmarried (including separated, divorced, widowed, or never married) had a relatively higher risk of CumAIP-related diabetes. Conclusion CumAIP is closely associated with the development of prediabetes. High CumAIP exposure not only increases the risk of prediabetes progression but also hinders its regression within a certain range. These findings suggest that monitoring and maintaining appropriate AIP levels may help prevent the deterioration of blood glucose levels.

In view of the frequent occurrence of rockburst in the coal pillars of high-stress roadways in deep underground coal mines in China, the types and mechanisms of rockburst in coal pillars are studied by means of field investigation, theoretical analysis, numerical simulation and engineering test. A new method of preventing rockburst by releasing energy and modifying the coal pillars of high-stress roadways is put forward. Based on the method proposed, a series of research work such as the principle research, technical system design and underground industrial test are carried out. Based on the main force source types of coal pillar rockburst in roadways, combined with many typical cases of rockburst, the coal pillar rockburst in roadways in China is divided into three types: basic stress superposition type, additional stress induced type and self-creep instability type. The mechanical models and engineering criteria of the occurrence mechanism of coal pillar rockburst in roadways are established and deduced respectively, which reveals its occurrence mechanism. In this paper, a method of preventing rockburst by combining fracturing with grouting in high-stress roadway in deep mine is proposed. The principle of preventing rockburst is embodied in two aspects: “energy release” and “modification”. The underground industrial test shows that the crack initiation pressure of elastic core coal is about 40 MPa, and the overall maximum fracturing width is 19.5 m. The field monitoring proves that the method proposed can reduce the energy accumulation level of roadway coal pillar and increase the overall impact threshold of roadway coal pillar. A complete technical system of coal pillar energy release modification and erosion prevention in high stress roadways of deep underground coal mines is designed, including the “evaluation-inspection-check” method of impact risk of isolated coal body, the energy release technology of elastic nuclear hydraulic fracturing and the whole grouting reinforcement modification technology. The “vibration-stress-displacement” three-field monitoring equipment for the elastic nuclear fracturing of coal pillars in roadways and the PS-Z-A/B type inorganic two-component quick-setting integral grouting modified material have been developed.

Abstract LiDAR systems that rely on classical signals are susceptible to intercept-and-recent spoofing attacks, where a target attempts to avoid detection. To address this vulnerability, we propose a quantum-secured LiDAR protocol that utilizes Gaussian modulated coherent states for both range determination and spoofing attack detection. By leveraging the Gaussian nature of the signals, the LiDAR system can accurately determine the range of the target through cross-correlation analysis. Additionally, by estimating the excess noise of the LiDAR system, the spoofing attack performed by the target can be detected, as it can introduce additional noise to the signals. We have developed a model for target ranging and security check, and conducted numerical simulations to evaluate the Receiver Operating Characteristic (ROC) of the LiDAR system. The results indicate that an intercept-and-recent spoofing attack can be detected with a high probability at a low false-alarm rate. Furthermore, the proposed method can be implemented using currently available technology, highlighting its feasibility and practicality in real-world applications.

Abstract Background The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) Index, serves as an effective tool for evaluating body fat (BF) levels. This research seeks to clarify the association between the CUN-BAE Index and metabolic dysfunction-associated steatotic liver disease (MASLD) from a gender perspective. Methods The study utilized data from a comprehensive health assessment initiative known as “Human Dock”, involving 14,251 participants. MASLD was diagnosed using abdominal ultrasound, primarily evaluated based on the following sonographic features: hepatorenal echo contrast, vascular blurring, deep attenuation, liver brightness. First, we evaluated the association of MASLD with the CUN-BAE Index using multivariate logistic regression. Second, we visualized this association and estimated potential threshold effect points using the restricted cubic spline (RCS) regression model. Ultimately, we evaluated the ability of the CUN-BAE Index to detect MASLD through receiver operating characteristic (ROC) curves. Results The female-to-male ratio was 1:1.08, with a MASLD prevalence rate of 17.59%. Following the adjustment for confounding variables, an increase of one unit in the CUN-BAE Index corresponded to a 14% increase in the risk of MASLD for males and an 18% increase for females. RCS analysis revealed an S-shaped relationship between MASLD prevalence and the CUN-BAE Index for both genders, with potential threshold effect points at approximately 30 in females and 15 in males. Beyond these threshold points, the prevalence of MASLD increased rapidly. Further subgroup analyses indicated significant differences in the relationship of the CUN-BAE Index with MASLD within age and body mass index (BMI) subgroups in females, with a stronger association observed in younger and non-obese female participants. Additionally, ROC analysis revealed that the CUN-BAE Index possesses a strong ability to distinguish MASLD in both genders, especially in females. Conclusions This research is the first to identify a positive relationship between the CUN-BAE Index and MASLD. The CUN-BAE Index appears to be more suitable for early screening of MASLD in females.

Abstract Chimeric antigen receptor T (CAR-T) cell therapy has greatly improved the prognosis of relapsed and refractory patients with large B-cell lymphoma (LBCL). Early identification and intervention of patients who may respond poorly to CAR-T cell therapy will help to improve the efficacy. Ninety patients from a Chinese cohort who received CAR-T cell therapy and underwent 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scans at the screening stage (median time to infusion 53.5 days, range 27–176 days), 1 month and 3 months after CAR-T cell infusion were analyzed, with RNA-sequencing conducted on 47 patients at the screening stage. Patients with maximum diameter of the largest lesion (Dmax)

To explore the effect of flaxseed gum on the stability and nutritional characteristics of flaxseed milk. The degummed flaxseeds were obtained by dry method, and the effects of different degumming rates on the nutrient release and the stability of flaxseed milk were comprehensively investigated. The particle size, zeta potential, viscosity, turbiscan stability index, rheological properties, microstructure, total solids content, total phenol content and protein content of different samples were measured and analyzed. The results showed that the absolute potential value of flaxseed milk increased and the particle size, stability index and viscosity decreased after degumming. With a degumming rate of 4.0%, the absolute potential value of flaxseed milk increased from 26.72 mV to 29.60 mV, the D[4,3] decreased from 34.90 μm to 22.60 μm, and the viscosity was reduced by 9.95%, it showed a shear thinning behavior, and the droplet distribution was uniform. With a degumming rate of 6.30%, the total solids content and the protein content of flaxseed milk reached 7.73 g/100 mL and 2.15 g/100 mL, with an increase of 5.03% and 18.78%, respectively. These results indicated that moderate degumming facilitate the stability and the protein release of flaxseed milk. The research provides a reference for high-value processing and utilization of flaxseed.

Abstract Climate and land use/land cover (LULC) changes have far-reaching effects on various biological processes in wildlife, particularly interspecific interactions. Unfortunately, interspecific interactions are often overlooked when assessing the impacts of environmental changes on endangered species. In this study, we examined niche similarities and habitat overlaps between wild Crested Ibis and sympatric Egret and Heron species (EHs) in Shaanxi, China, using Ecological niche models (ENMs). We aimed to forecast potential alterations in habitat overlaps due to climate and LULC changes. The results showed that although EHs possess a broader niche breadth compared to the Crested Ibis, they still share certain niche similarities, as indicated by Schoener’s D and Hellinger’s I values exceeding 0.5, respectively. Notably, despite varying degrees of habitat reduction, the shared habitat area of all six species expands with the changes in climate and LULC. We suggest that with the climate and LULC changes, the habitats of sympatric EHs are likely to suffer varying degrees of destruction, forcing them to seek refuge and migrate to the remaining wild Ibis habitat. This is primarily due to the effective conservation efforts in the Crested Ibis habitat in Yangxian County and neighboring areas. Consequently, due to the niche similarity, they will share and compete for limited habitat resources, including food and space. Therefore, we recommend that conservation efforts extend beyond protecting the Crested Ibis habitat. It is crucial to control human activities that contribute to LULC changes to safeguard the habitats of both Crested Ibis and other sympatric birds.

Abstract Background Gastroesophageal reflux disease (GERD) and cholecystitis share overlapping symptoms, including belching, acid reflux, and heartburn. Despite this, the causal relationship between these two conditions remains unclear. This study aimed to investigate the causal link between GERD and cholecystitis using a Mendelian randomization (MR) approach. Methods A two-sample MR analysis was conducted using the inverse variance weighted (IVW), weighted median, weighted mode, and MR-Egger method to assess the causal effects of GERD on the cholecystitis risk. Genome-wide association studies (GWASs) on GERD (N cases = 129080; N controls = 473524) and cholecystitis (N cases = 1930; N controls =359264) were obtained from the IEU Open GWAS project. Various techniques were employed to assess pleiotropy and heterogeneity. Results Seventy-seven single nucleotide polymorphisms from GERD GWASs were selected as instrumental variables (IVs). The primary IVW method revealed a significant association between GERD and an increased risk of cholecystitis (odds ratio = 1.004; 95% confidence interval = 1.003–1.005, p = 2.68 × 10− 9). The absence of heterogeneity and pleiotropy in the data supports the reliability of the results. Conclusions GERD was positively associated with the risk of cholecystitis. This study provides insights into potential avenues for the development of prevention strategies and treatment options for cholecystitis in patients with GERD. These findings contribute to our understanding of the complex interplay between GERD and cholecystitis.

Abstract Background This study aimed to identify the roles of L-tryptophan (Trp) and its rate-limiting enzymes on the receptivity of bovine endometrial epithelial cells. Real-time PCR was conducted to analyze the differential expression of genes between different groups of bovine endometrial epithelial cells. Western blot was performed to detect Cyclooxygenase-2 (COX2) expression after treatment with Trp or kynurenine (the main metabolites of Trp). The kynurenine assay was used to examine if Trp or prostaglandin E2 (PGE2) can increase the production of kynurenine in the bovine endometrial epithelial cells. Results Trp significantly stimulates insulin growth factor binding protein 1 (IGFBP1) expression, a common endometrial marker of conceptus elongation and uterus receptivity for ruminants. When bovine endometrial epithelial cells are treated with Trp, tryptophan hydroxylase-1 remains unchanged, but tryptophan 2,3-dioxygenase 2 (TDO2) is significantly increased, suggesting tryptophan is mainly metabolized through the kynurenine pathway. Kynurenine significantly stimulates IGFBP1 expression. Furthermore, Trp and kynurenine significantly increase the expression of aryl hydrocarbon receptor (AHR). CH223191, an AHR inhibitor, abrogates the induction of Trp and kynurenine on IGFBP1. PGE2 significantly induces the expression of TDO2, AHR, and IGFBP1. Conclusions The regulation between Trp / kynurenine and PGE2 may be crucial for the receptivity of the bovine uterus.

Abstract Background The role of the geriatric nutritional risk index (GNRI) as a prognostic factor in intensive care unit (ICU) patients with acute kidney injury (AKI) remains uncertain. Objectives The aim of this study was to investigate the impact of the GNRI on mortality outcomes in critically ill patients with AKI. Methods For this retrospective study, we included 12,058 patients who were diagnosed with AKI based on ICD-9 codes from the eICU Collaborative Research Database. Based on the values of GNRI, nutrition-related risks were categorized into four groups: major risk (GNRI

This study investigates the utilization of artificial intelligence (AI) for feature engineering in the education sector, highlighting its potential to enhance individualized learning and improve academic outcomes. The correlation analysis, performed using a correlation matrix of the feature set, indicated that specific pairings of characteristics exhibit a strong association, resulting in the ineffectiveness of conventional models. In order to tackle this issue, we utilized three sophisticated machine learning methodologies: Adaptive Lasso (ALasso), Artificial Neural Networks (ANN), and Support Vector Regression (SVR). The ALasso model discovered several influential characteristics, namely Gender (X5), Education (X1), Hours of Work (X4), and Marital Status (X6), that significantly affect salaries. Subsequently, a comparative evaluation of these methods was conducted using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). The results demonstrated that SVR outperformed the other techniques, with the most optimal RMSE of 0.595 and MAE of 0.423. These findings emphasize the significance of using data-driven strategies in policymaking and propose further investigation into the use of AI methods in various educational contexts to improve the identification of features and the performance of models.

Rapeseed (Brassica napus L.) seedlings are rich in vitamin C (Vc), which is beneficial for humans. Understanding the genetic variance in Vc content has practical significance for the breeding of “oil–vegetable dual-purpose” rapeseed. In this study, the joint segregation analysis of a mixed genetic model of the major gene plus polygene was conducted on the Vc content in rapeseed seedlings. Six generations, including two parents, P1 (high Vc content) and P2 (low Vc content), F1, and the populations of F2, BC1P1, and BC1P2 from two crosses were investigated. Genetic analysis revealed that the genetic model MX2-A-AD was the most fitting genetic model, which indicates that Vc content is controlled by two additive major genes plus additive and dominance polygenes. In addition, the whole heritability in F2 and BC1P1 was higher than that in BC1P2. The largest coefficient of variation for Vc content appeared in the F2 generation. Therefore, for Vc content, the method of single cross recross or single backcross are suggested to transfer major genes, and the selection in F2 would be more efficient than that in other generations. Our findings provide a theoretical basis for the quantitative trait locus (QTL) mapping and breeding of Vc content in rapeseed seedlings.

ObjectivesPyrophyllite, as a sealed pressure medium, has been widely used in high-pressure research for laboratories and industrial synthesis. A highly efficient pressure transfer medium can generate higher cell pressure at the same loading force. The use of a highly efficient pressure transfer medium reduces the risk of anvil rupture and production costs. Therefore, it is important to develop a suitable and efficient pressure-transmitting pyrophyllite.MethodsThe pressure calibration of four pyrophyllites from different localities at room temperature was conducted in a 6 × 8 MN multi-anvil large-volume press. The relationship between loading force and cell pressure at room temperature was established. The influence of mineral composition changes in pyrophyllite on pressure-transmitting efficiency was studied using X-ray diffraction.ResultsBy investigating the influence of mineral composition changes in pyrophyllite on pressure-transmitting efficiency, the results are as follows: (1) When achieving the same cell pressure, the required loading force for Pyrophyllite 4 is 10% lower than those for the other three pyrophyllites, indicating that Pyrophyllite 4 has the best pressure-transmitting efficiency. (2) As cell pressure increases, the relationship between cell pressure and loading force begins to deviate from linearity, and the pressure-transmitting efficiency of pyrophyllite gradually decreases. When the cell pressure exceeds 5.00 GPa, applying higher loading force does not significantly increase the cell pressure. (3) Higher hardness minerals (such as Diaspore, Boehmite) in pyrophyllite can effectively improve pressure-transmitting efficiency in the low-pressure stage (cell pressure 2.55-3.68 GPa). When the minerals in pyrophyllite undergo phase transformation to form new minerals with higher hardness (such as Muscovite and Kaolinite) in the high-pressure stage (cell pressure of 5.50 GPa), pressure-transmitting efficiency can be effectively improved.ConclusionsPyrophyllite 4 has better pressure-transmitting efficiency than Pyrophyllite 2 does in the high-pressure stage, but it is prone to failure in sealing due to the changes in mineral composition. However, Pyrophyllite 2 shows good elastic recovery effect and sealing performance and can stably complete compression and decompression work. Considering both pressure-transmitting efficiency and sealing effect, Pyrophyllite 2 has better application value and economic benefits.

Abstract Background UV-B, an important environmental factor, has been shown to affect the yield and quality of rice (Oryza sativa) worldwide. However, the molecular mechanisms underlying the response to UV-B stress remain elusive in rice. Results We perform comprehensive metabolic profiling of leaves from 160 diverse rice accessions under UV-B and normal light conditions using a widely targeted metabolomics approach. Our results reveal substantial differences in metabolite accumulation between the two major rice subspecies indica and japonica, especially after UV-B treatment, implying the possible role and mechanism of metabolome changes in subspecies differentiation and the stress response. We next conduct a transcriptome analysis from four representative rice varieties under UV-B stress, revealing genes from amino acid and flavonoid pathways involved in the UV-B response. We further perform a metabolite-based genome-wide association study (mGWAS), which reveals 3307 distinct loci under UV-B stress. Identification and functional validation of candidate genes show that OsMYB44 regulates tryptamine accumulation to mediate UV-B tolerance, while OsUVR8 interacts with OsMYB110 to promote flavonoid accumulation and UV-B tolerance in a coordinated manner. Additionally, haplotype analysis suggests that natural variation of OsUVR8 groupA contributes to UV-B resistance in rice. Conclusions Our study reveals the complex biochemical and genetic foundations that govern the metabolite dynamics underlying the response, tolerance, and adaptive strategies of rice to UV-B stress. These findings provide new insights into the biochemical and genetic basis of the metabolome underlying the crop response, tolerance, and adaptation to UV-B stress.

Abstract Purpose Recent observational studies have highlighted the role of altered gut microbiota (GM) in the activation of the host immune system and the resulting of gastric cancer (GC). However, the exact causal relationship and mechanisms of action are still not fully understood. Materials and methods Genetic data from published genome-wide association studies (GWASs) were employed to determine the causal effects of 207 taxa and 205 bacterial pathways on GC via two-sample Mendelian randomization (MR) and two-step mediation MR analysis. In this study, 731 immune cell traits served as potential mediators. An inverse variance-weighted (IVW) estimation, augmented by a range of alternative estimators, notably the Bayesian-weighted MR method, was employed as the primary methodological approach. Results Four taxa and five bacterial pathways were found to be negatively correlated with GC, whereas one taxon and two bacterial pathways were a positively correlated with GC. Reverse causality was not found in the reverse MR analysis. Additional validation was performed using a sensitivity analysis. Mediation MR analyses revealed that the GM influences GC through various phenotypes of 16 immune cells that act as mediators. For example, s_Alistipes_sp_AP11 was found to inhibit GC through NKT %T cell (total effect: -0.3234, mediation effect: 0.0212). This mediating effect further highlights the complex relationship among GMs, immune cell traits, and their combined effects on GC. Conclusions Our findings highlight the genetic connection between specific GMs and GC, emphasizing the potential role of immune cells as mediators, and offering valuable perspectives on potential therapeutic strategies that manipulating the GM to address GC.

Abstract Direct methane conversion to high-value chemicals under mild conditions is attractive yet challenging due to the inertness of methane and the high reactivity of valuable products. This work presents an efficient and selective strategy to achieve direct methane conversion through the oxidative coupling of methane over a visible-responsive Au-loaded CeO2 by photon-phonon co-driven catalysis. A record-high ethane yield of 755 μmol h−1 (15,100 μmol g−1 h−1) and selectivity of 93% are achieved under optimised reaction conditions, corresponding to an apparent quantum efficiency of 12% at 365 nm. Moreover, the high activity of the photocatalyst can be maintained for at least 120 h without noticeable decay. The pre-treatment of the catalyst at relatively high temperatures introduces oxygen vacancies, which improves oxygen adsorption and activation. Furthermore, Au, serving as a hole acceptor, facilitates charge separation, inhibits overoxidation and promotes the C-C coupling reaction. All these enhance photon efficiency and product yield.

ObjectiveThis study uses the structural load inversion method to conduct a dynamic response state analysis of a floating wind turbine tower under wave action. MethodBased on a semi-submersible wind turbine, the measurement data is simulated in the time domain, and the mass-normalized modes of the tower are calculated using a frequency-domain simulation model of the floating wind turbine. Both are used as inputs to a joint input-state estimation (JIS) algorithm to conduct the structural load inversion and real-time state analysis of the floating wind turbine tower. ResultsThe results show that when using the simulated data of tower nodes as inputs to the JIS algorithm, the estimated tower root loads and node responses agree well with the simulated results, achieving high-precision inversion. ConclusionThe inversion results verify that the JIS algorithm is effective and can be used for the real-time state analysis of floating wind turbines to ensure their long-term safe and stable operation.

Abstract Reporting the results of quality indicators can narrow the gap in the quality of care between hospitals. While most studies rely on outcome indicators, they may not accurately measure the quality of care. Process indicators are not only strongly associated with treatment outcomes, but are also more sensitive to whether patients are treated accurately, enabling timely intervention. Our study aims to investigate whether process indicators provide a more reasonable assessment of hospital quality of care compared to outcome indicators. Data were sourced from the Specific Disease Medical Service Quality Management and Control System in China. A total of 113,942 patients with breast cancer treated in 298 hospitals between January 2019 and April 2023 were included in this retrospective study. The rankability of 11 process indicators was calculated and used as a weight to create a new composite indicator. The composite indicators and outcome measures were compared using the O/E ratio categories. Finally, in order to determine the impact of different years on the results, a sensitivity analysis was conducted using bootstrap sampling. The rankability ( $$\rho$$ ρ ) values of the eleven process indicators showed significant differences, with the highest $$\rho$$ ρ value for preoperative cytological or histological examination before surgery (0.919). The $$\rho$$ ρ value for the outcome indicator was 0.011. The rankability-weighting method yielded a comprehensive score ( $$\rho$$ ρ = 0.883). The comparison with categorical results of the outcome indicator has different performance classifications for 113 hospitals (37.92%) for composite scores and 140 (46.98%) for preoperative cytological or histological examinationbefore surgery. Process indicators are more suitable than outcome indicators for assessing the quality of breast cancer care in hospitals. Healthcare providers can use process indicators to identify specific areas for improvement, thereby driving continuous quality improvement efforts.

Abstract We aimed to build a deep learning-based pathomics model to predict the early recurrence of non-muscle-infiltrating bladder cancer (NMIBC) in this work. A total of 147 patients from Xuzhou Central Hospital were enrolled as the training cohort, and 63 patients from Suqian Affiliated Hospital of Xuzhou Medical University were enrolled as the test cohort. Based on two consecutive phases of patch level prediction and WSI-level predictione, we built a pathomics model, with the initial model developed in the training cohort and subjected to transfer learning, and then the test cohort was validated for generalization. The features extracted from the visualization model were used for model interpretation. After migration learning, the area under the receiver operating characteristic curve for the deep learning-based pathomics model in the test cohort was 0.860 (95% CI 0.752–0.969), with good agreement between the migration training cohort and the test cohort in predicting recurrence, and the predicted values matched well with the observed values, with p values of 0.667766 and 0.140233 for the Hosmer–Lemeshow test, respectively. The good clinical application was observed using a decision curve analysis method. We developed a deep learning-based pathomics model showed promising performance in predicting recurrence within one year in NMIBC patients. Including 10 state prediction NMIBC recurrence group pathology features be visualized, which may be used to facilitate personalized management of NMIBC patients to avoid ineffective or unnecessary treatment for the benefit of patients.

Abstract Circular RNAs (circRNAs) as biomarkers for cancer detection have been extensively explored, however, the biogenesis mechanism is still elusive. In contrast to linear splicing (LS) involved in linear transcript formation, the so-called back splicing (BS) process has been proposed to explain circRNA formation. To investigate the potential mechanism of BS via the machine learning approach, we curated a high-quality BS and LS exon pairs dataset with evidence-based stringent filtering. Two convolutional neural networks (CNN) base models with different structures for processing splicing junction sequences including motif extraction were created and compared after extensive hyperparameter tuning. In contrast to the previous study, we are able to identify motifs corresponding to well-established BS-associated genes such as MBNL1, QKI, and ESPR2. Importantly, despite prevalent high false positive rates in existing circRNA detection pipelines and databases, our base models demonstrated a notable high specificity (greater than 90%). To further improve the model performance, a novo fast numerical method was proposed and implemented to calculate the reverse complementary matches (RCMs) crossing two flanking regions and within each flanking region of exon pairs. Our CircCNNs framework that incorporated RCM information into the optimal base models further reduced the false positive rates leading to 88% prediction accuracy.

Abstract Observational data suggest a link between gut microbiota and immune-related vasculitis, but causality remains unclear. A bidirectional mendelian randomization study was conducted using public genome-wide data. The inverse-variance-weighted (IVW) method identified associations and addressed heterogeneity.Families Clostridiaceae 1 and Actinomycetaceae correlated positively with granulomatosis with polyangiitis risk, while classes Lentisphaeria and Melainabacteria, and families Lachnospiraceae and Streptococcaceae showed negative associations. Behçet's disease was positively associated with the risk of family Streptococcaceae abundance. And other several gut microbiota constituents were identified as potential risk factors for immune-related vasculitis. Furthermore, combining positive association results from the IVW analysis revealed numerous shared gut microbiota constituents associated with immune-related vasculitis. MR analysis demonstrated a causal association between the gut microbiota and immune-related vasculitis, offering valuable insights for subsequent mechanistic and clinical investigations into microbiota-mediated immune-related vasculitis.

Abstract Background Increased level of stromal tumor-infiltrating lymphocytes (sTILs) are associated with therapeutic outcomes and prognosis in triple-negative breast cancer (TNBC). This study aimed to investigate the associations of clinicopathologic and sonographic features with sTILs level in TNBC. Methods This study included invasive TNBC patients with postoperative evaluation of sTILs after surgical resection. Tumor shape, margin, orientation, echo pattern, posterior features, calcification, and vascularity were retrospectively evaluated. The patients were categorized into high-sTILs (≥ 20%) and low-sTILs (

Abstract Background Hypokalemic rhabdomyolysis is a rare clinical manifestation of primary aldosteronism, making its diagnosis challenging, particularly when it becomes the primary presenting symptom. Herein, we present a case of primary aldosteronism with hypokalemic rhabdomyolysis and conduct a related literature review. Case presentation We report the case of a 54-year-old Chinese male patient who presented with intermittent weakness over the past year and was admitted with sudden limb paralysis for 2 days. The final diagnosis was primary aldosteronism accompanied by hypokalemic rhabdomyolysis syndrome. By reviewing the related Chinese and English literature, we noticed that only a few cases were published since 1978. After excluding irrelevant literatures, we summarized and analyzed 43 patients of with primary aldosteronism accompanied by hypokalemic rhabdomyolysis syndrome. All patients showed good recovery, with normalized blood potassium levels, and a majority achieved normalized blood pressure. Some patients still required medication for blood pressure control. Conclusions Primary aldosteronism rarely causes rhabdomyolysis; the occurrence of severe hypokalemia and rhabdomyolysis should prompt consideration of primary aldosteronism in the differential diagnosis. Early detection and treatment are crucial for determining patient prognosis.

Abstract Background This study aimed to assess the effectiveness of the BOPPPS model (bridge-in, learning objective, pre-test, participatory learning, post-test, and summary) in otolaryngology education for five-year undergraduate students. Methods A non-randomized controlled trial was conducted with 167 five-year undergraduate students from Anhui Medical University, who were allocated to an experimental group and a control group. The experimental group received instruction using the BOPPPS model, while the control group underwent traditional teaching methods. The evaluation of the teaching effectiveness was performed through an anonymous questionnaire based on the course evaluation questionnaire. Students’ perspectives and self-evaluations were quantified using a five-point Likert scale. Furthermore, students’ comprehension of the course content was measured through a comprehensive final examination at the end of the semester. Results Students in the experimental group reported significantly higher scores in various competencies compared to the control group: planning work (4.27 ± 0.676 vs. 4.03 ± 0.581, P