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Auroral Kilometric Radiation (AKR) is a common radio emission, which can contribute to the magnetosphere−ionosphere−atmosphere coupling. Similar emissions have been observed in all magnetic planet magnetospheres of the solar system. In this study, using observations from the FAST satellite from 30 August 1996 to 9 September 2001, the distribution of AKR in altitude = 500−4500 km and invariant latitude (|ILAT|) = 60°−80° has been analyzed. 63045 AKR samples have been identified with ~48% (52%) samples on the dayside (nightside). Of considerable interest, there is a distinct MLT asymmetry with the high occurrence rate in MLT = 05−08 and 18−22 (02−05 and 12−17) in the northern (southern) hemisphere. The distinct MLT asymmetry is associated with the direction of \begin{document}$B_x$\end{document} of the interplanetary magnetic field. In addition, the occurrence rate on the nightside clearly increases as the \begin{document}$AE^*$\end{document} index increases. This study further enriches the information and understanding of AKR in the magnetosphere as well as other similar radio emissions.

To fully bring into play the functions of aircraft engine blades, it is indispensable to perform regular inspections of engine blades, which currently rely on inefficient manual visual assessments. While artificial intelligence technology can be utilized, benchmark datasets are not available yet. To tackle these issues, in this work, we first construct two datasets that are collected from real blade defect images at different microscopic magnifications under an electron microscope and a metallographic microscope. Subsequently, we propose an efficient lightweight YOLOv8 framework, incorporating a hierarchical feature fusion module MS-Block for better multi-scale integration, as well as an Efficient Multi-Scale Attention (EMA) and Dilation-wise Residual (DWR) modules to enhance the detection of small targets and replace the loss function with Inner-IoU. The improved YOLOv8 demonstrates a noteworthy increase in mean average precision (mAP), achieving an enhancement of 1.5% on the Electron Microscope Taken (EMT) dataset and 1.8% on the Metallographic Microscope Taken (MMT) dataset compared to the original model. Our approach significantly surpasses the performance of contemporary target detection algorithms, thereby offering a robust solution for microscopic defect detection in aeroengines. This advancement not only streamlines the inspection process but also contributes to the overall safety and reliability of aircraft operations.

Abstract Plant HKTs (High-affinity K+ transporters) are essential transporters for ion transport and homeostasis and play crucial roles in plant growth and stress responses. However, the evolution of HKTs in Populus species and their functions require further investigation. In this study, we identified 16 HKTs from six Populus species. All poplar HKTs were classified as Class I HKTs because of their physiological relationships and the conservation of amino acids in key structures, which aligns with their conserved evolutionary coding sequences. The analysis of the protein domains, motifs and gene structures of 16 poplar HKTs revealed consistent conservation, with the exception of two members. The number of homologs and their chromosome locations indicated the differentiation of HKTs during poplar evolution and adaptation. Poplar HKTs can be classified into two subgroups on the basis of their physiological relationships and distinct protein structures. Gene expression pattern analysis revealed that poplar HKTs presented relatively high expression levels in roots and stems under salt stress. Furthermore, cis-element analysis and protein interaction predictions provide insights into the functions of HKTs under salt stress through the activation of ion transporters, proline content, and ATPases regulated by hormonal signals and MYB transcription factors. In conclusion, our research established a theoretical framework for investigating the evolutionary relationships and functional roles of HKTs in Populus species and offered valuable insights into the functions and underlying mechanisms of poplar HKTs in specific tissues under various stress conditions.

Abstract This study aims to explore the application value of big data technology (BDT) in enterprise information security (EIS). Its goal is to develop a risk prediction model based on big data analysis to enhance the information security protection capability of enterprises. A big data analysis system that can monitor and intelligently identify potential security risks in real-time is constructed by designing complex network analysis algorithms and machine learning models. For different types of security threats, the system uses feature engineering and model training processes to extract key risk indicators and optimize model prediction performance. The experimental results show that the constructed risk prediction model has excellent performance on the test set, and its Area Under the Curve reaches 0.95, indicating that the model has good differentiation ability and high prediction accuracy. In addition, in the multi-class risk identification task, the model achieves an average precision of 0.87. Compared with the traditional method, it has remarkably improved the early warning accuracy and response speed of enterprises to various information security incidents. Therefore, this study confirms the effectiveness and feasibility of applying BDT to EIS risk management, and the successfully constructed prediction model provides strong technical support for EIS protection.

Abstract Adjuvant endocrine therapy (AET) is essential for improving survival and reducing mortality and recurrence rates in breast cancer (BrCa) patients. However, the adherence to AET among BrCa patients is poor, and there is no scale to measure adherence to AET or the reasons for non-adherence among BrCa patients in mainland China. The aim of this study was to assess the psychometric properties of the simple Chinese version of the Medication Adherence Reasons (MAR) scale in BrCa patients undergoing AET. This study utilized a cross-sectional research design with two phases: (1) translation and cross-cultural adaptation of the original English version of the MAR scale into simple Chinese and (2) validation of the simple Chinese version of the MAR scale (s-ChMAR scale) in BrCa patients. Instrument assessments included content validity, face validity, item analysis, construct validity, criterion-related validity and reliability testing. This study recruited participants using convenience sampling to investigate adherence to AET among BrCa patients. Inclusion criteria were: (a) female, (b) aged 18 years or older, (c) diagnosed with Stage I to III BrCa, (d) completed primary treatment for hormone receptor-positive BrCa and had been on AET for more than six months but less than five years, (e) proficient in Mandarin, and (f) provided informed consent. Exclusion criteria included psychiatric illness, cognitive impairment, or a diagnosis of another cancer type. The sample size for exploratory factor analysis (EFA) was determined based on a ratio of five to ten participants per scale item to ensure sufficient statistical power. Data were collected from a sample of 325 participants who received AET for over six months. All the items had a content validity index (CVI) of more than 0.80. Regarding construct validity, the s-ChMAR scale fit a four-dimensional model, the same as the original MAR scale tested in asthma patients. The s-ChMAR scale had good internal reliability (Cronbach’s α = 0.896) and good stability (ICC = 0.837). In terms of quantifying non-adherence, the s-ChMAR scale identified a non-adherent participant rate of over 50%. The study findings support the reliability and validity of the s-ChMAR scale in measuring the non-adherence of Chinese BrCa patients to AET.

Abstract Recovery from spinal cord injury (SCI) is often impeded by neuroinflammation, scar formation, and limited axonal regeneration. To tackle these issues, we developed an innovative biomimetic drug delivery system using liquid nitrogen-treated M2 macrophages (LNT M2) which internalized paclitaxel (PTX) nanoparticles beforehand. These were incorporated into a gelatin methacryloyl (GelMA) scaffold, creating a multifunctional, injectable treatment for single-dose administration. The LNT M2 inherited the inflammatory factor/chemokine receptors from the living M2 macrophages and thus possessing significant inflammatory neutralizing effect. In addition, the scaffold provides slow, sustained release of PTX, promoting axonal regeneration and suppressing scar formation in SCI rats. The LNT M2-based dual-functional scaffold significantly enhances motor function, reduces neuroinflammation, and accelerates axonal regeneration by modulating the inflammatory microenvironment and preventing the formation of glial and fibrotic scars. This approach combines the regenerative effects of low-dose PTX with the immunoregulatory properties of LNT M2, leading to remarkable neurological recovery in SCI rats. Moreover, the scaffold’s straightforward preparation, ease of standardization, and “ready-to-use” nature make it a promising candidate for acute SCI intervention and future clinical applications. Graphical Abstract

Abstract Objective Hypertension increases the prevalence of depression to a certain extent and identification and diagnosis of depression frequently pose challenges for clinicians. The study aimed to construct and validate a scoring model predicting the prevalence of depression with hypertension. Methods 6124 individuals with hypertension were utilized from the 2007 to 2020 National Health and Nutrition Examination Survey database (NHANES), including 645 subjects that were assessed to have depressive symptoms, 390 in the development group and 255 in the validation group. Univariable and multivariable analyses were applied to analyze the impact of each parameter on depression with hypertension, resulting in establishment of a predictive model. Finally, the discriminability, calibration ability, and clinical efficacy of the model were verified for both the derivation set and validation set. Results Ten variables comprised this model: age, gender, race, poverty to income ratio (PIR), smoke, sleep hours, exercise, diabetes, congestive heart failure, stroke. The area under the receiver operating characteristic curve for the derivation and validating sets was 0.790 and 0.723, respectively, which showed excellent discriminability. The model also fitted well with the actual prevalence of depression with hypertension in calibration and decision curve analysis (DCA) demonstrated that the depression model was practically useful. Conclusion This scoring model may provide an additional perspective for evaluating the underlying risk factors of depression for hypertensive individuals.

Abstract Background Hepatitis B virus related compensated cirrhosis generally has a favorable prognosis until decompensation occurs. Bacterial infections are prevalent in Hepatitis B virus related decompensated cirrhosis.Bacterial infection and decompensated hepatitis B cirrhosis are mutually reinforcing. And it also interacts with and promotes certain decompensation-related events. However, the impact of bacterial infections on the progression from compensated to decompensated cirrhosis in Hepatitis B patients remains unclear. Methods We retrospectively analyzed the baseline characteristics of 1,011 patients with Hepatitis B virus related compensated cirrhosis. Using time-dependent regression analysis, we evaluated whether bacterial infections increase the risk of decompensation, defined as the occurrence of ascites, hepatic encephalopathy, or variceal bleeding. Results A total of 1,011 patients were retrospectively analyzed over a median follow-up period of 79 months. Bacterial infections were observed in 89 patients (8.8%). Respiratory and urinary tract infections were the most common bacterial infections.Decompensation occurred in 44.9% of patients with bacterial infections, compared to 9% of those without BIs. Patients with bacterial infections had a higher risk of decompensation ([OR] 1.024; 95% CI 1.016–1.032; p

Abstract A novel broadband dual‐polarised transmitarray antenna (TA) utilising tightly coupled cross dipole cells is proposed in this work. The transmitarray cell using the tightly coupling wideband principle comprises two radiation patches designed as two orthogonal planar dipoles with four interdigital capacitors, two meandered parallel plate transmission lines, and a ground. Each cell has a square shape and a dimension of approximately 0.28 λc where λc is the wavelength at central frequency 5.5 GHz. The transmitarray cell can achieve 475° phase shift at central frequency and transmission magnitude better than −2.5 dB within the working band. To verify the feasibility of this design, a tightly coupled dual‐polarised transmitarray antenna (TCDPTA) is modelled and manufactured. The transmitarray aperture size is approximately 4.1 λc × 4.1 λc. The simulation and measurement illustrate that the TCDPTA has stable and distortion‐free main beams whose side lobe levels are generally below −10 dB in the band of 3.0–8.0 GHz. The measured gain at central frequency is 16.2 dBi and peak gain is 19 dBi at 7.5 GHz. The working bandwidth is 90.9% and 3 dB gain bandwidth is 66.7%. The measured cross‐polarisation levels are below −15 dB at axial direction. This TA has potential applications for high‐date‐rate communication and high‐revolution radar imaging systems at C‐band.

Tiller number and grain size are important agronomic traits that determine grain yield in rice. Here, we demonstrate that DEFECTIVE TILLER GROWTH 1 (DTG1), a member of the casein kinase 1 protein family, exerts a co-regulatory effect on tiller number and grain size. We identified a single amino acid substitution in DTG1 (I357K) that caused a decrease in tiller number and an increase in grain size in NIL-dtg1. Genetic analyses revealed that DTG1 plays a pivotal role in regulation of tillering and grain size. The DTG1I357K allelic variant exhibited robust functionality in suppressing tillering. We show that DTG1 is preferentially expressed in tiller buds and young panicles, and negatively regulates grain size by restricting cell proliferation in spikelet hulls. We further confirm that DTG1 functioned in grain size regulation by directly interacting with Grain Width 2 (GW2), a critical grain size regulator in rice. The CRISPR/Cas9-mediated elimination of DTG1 significantly enhanced tiller number and grain size, thereby increasing rice grain yield under field conditions, thus highlighting potential value of DTG1 in rice breeding.

Abstract Background Extracellular vesicles (EVs) play a crucial role in intraspecies and interspecies communication, significantly influencing physiological and pathological processes. Outer membrane vesicles (OMVs) secreted by Gram-negative bacteria are rich in components from the parent cells and are important for bacterial communication, immune evasion, and pathogenic mechanisms. However, the extraction and purification of OMVs face numerous challenges due to their small size and heterogeneity. Results This study proposes an innovative strategy that combines traditional differential centrifugation (DC) with one-step ultracentrifugation (ODG) to develop a dual differential gradient centrifugation (DDGC) method for extracting outer membrane vesicles from Klebsiella pneumoniae. By comparing the DC and DDGC extraction methods, we found that OMVs extracted by DDGC exhibited more typical morphology, clearer backgrounds, and more uniform particle size distribution. The lipid polysaccharide (LPS) content in OMVs extracted by DDGC was significantly higher than that obtained by DC, and the outer membrane protein content was also greater, demonstrating enhanced biological activity. Biological activity assays indicated that OMVs extracted by DDGC showed stronger cytotoxicity to A549 lung epithelial cells, a significant decrease in cell viability, and higher levels of inflammatory factor expression(IL-6, TNF-α, IL-1β, and IL-8). Conclusion Our study demonstrates the advantages of the DDGC method in extracting K. pneumoniae OMVs, showing improvements in morphology, particle size distribution, protein content, and biological activity. This provides a solid foundation for further exploration of the biological functions of OMVs and their potential applications in the biomedical field.

Abstract Geopolitics events have a significant impact on financial markets in the process of global economic integration and financial liberalization. Focusing on the 2022 Russia-Ukraine conflict, this paper utilizes the TVP-VAR network connectedness approach to investigate its specific impacts on the connectedness of major global financial markets. It examines the dynamic evolution of high-frequency and low-frequency shocks on market correlations during the pre-conflict, initial, and stalemate stages, revealing the changes in risk transmission paths. Findings show that the conflict led to increased market interconnectedness. Low-frequency became a major part of the total spillover, signaling long-term structural changes. The stock and foreign exchange market initially responded swiftly, serving as starting points for risk diffusion. The commodity market has been risk receivers throughout the conflict period. Intra-market and cross-market linkages have also changed. The German stock market was the main source of risk spillovers in the conflict, influencing international market linkages. In the global financial market network, several stock markets were the primary risk transmitters in the early stage of the conflict, while foreign exchange markets took on this role during the stalemate period. In addition, gold continues to play a safe-haven role. Furthermore, the TVP-VAR model is used to quantitatively assess the extent of the impact of the conflict on the spillover effects of major global financial markets at different time points and lags. Based on these findings, this paper constructs diversified portfolios and proposes a series of targeted risk management recommendations, which provide a theoretical basis for future policy formulation under similar crises.

Abstract Background While the line joining the posterior superior iliac spine (PSIS) intersects a relatively stable sacral vertebra, it does not directly facilitate the localization of lumbar interspace or assist in the positioning for neuraxial anesthesia. Our study aimed to explore the potential of the PSIS line as a reference point and to determine its practical applicability in clinical settings. Methods We consecutively enrolled pregnant women with gestational ages ranging from 24 to 38 weeks scheduled for magnetic resonance imaging (MRI) examination. Two anesthesiologists used ink to mark the PSIS line through visual localization or palpation. Subsequently, an equilateral triangle was constructed with the PSIS line as the baseline, with the vertex intersected the lumbar spine towards the head. Marker capsules were then affixed to the vertex of PSIS-line-based triangle and PSIS line, and MRI was performed with participants in the supine position. The vertebral body or interspinous space intersected by the PSIS line and vertex was recorded. Results One hundred parturients were analyzed. The PSIS line intersected the L5 vertebral body, L5-S1 interspinous space, S1 vertebral body, S2 vertebral body, and S3 vertebral body in 11, 10, 62, 15, and 2 cases, respectively. Furthermore, the vertex of PSIS-line-based triangle intersected the L2 vertebral body, L2-3 interspinous space, L3 vertebral body, L3-4 interspinous space, and L4 vertebral body in 4, 7, 53, 20, and 16 cases, respectively. No significant correlation was detected between the vertebral levels intersected of the PSIS line and the parameters of height, weight, and gestational age. Conclusions The PSIS line commonly intersects S1 vertebral body, and vertebral levels intersected of the PSIS-line-based vertex rang from L2 to L4 vertebral body in pregnant women. The PSIS-line-based triangle has potential to aid identification of vertebral levels, which could be applied to neuraxial anesthesia. Trial registration The study was registered in Chinese Clinical Trials Registry(Ref. ID: ChiCTR-DDD-16010067).

Strong convective weather dominated by thunderstorm strong winds appeared in Liaoning Province in the evening of 25th June 2022. Eighty-two automatic weather stations across the province recorded thunderstorm strong winds of magnitude 8 or above. Among them, the Ma Sanjia Station in the northern part of Shenyang City, Liaoning Province, recorded wind speeds of 13 on the Beaufort scale (39.1 m·s-1), resulting in severe damage. By utilizing the minute-level observational data from automatic weather stations in Liaoning Province on June 25 from 17:00 BT to 22:00 BT, as well as conventional radiosonde, dual-polarization radar, and data from the European Centre for Medium-Range Weather Forecasts ERA5 reanalysis, an analysis and study were conducted on the formation mechanism of this thunderstorm strong wind event. The results are as follows. (1) Liaoning is located at the southwest quadrant of the northeast cold vortex, where the cold dry air on the western side of the vortex converged with warm moist air in the northern part of Liaoning Province on the evening of the 25th. (2) The Shenyang sounding curve exhibits a low-level warm and dry layer, a mid-low-level moist layer, and a mid-high-level dry and cold layer with an "X" shaped pattern. Additionally, it features strong vertical wind shear, which creates favorable conditions for the occurrence of severe convective weather. (3) The evolution of radar echoes in this process is consistent with the evolution of classic bow echoes; isolated thunderstorms in the initial stage lead to locally strong winds. Subsequently, multiple individual storms gradually merge into a bow echo. The interaction of negative buoyancy, momentum transport, and cold pool density currents collectively results in widespread thunderstorm winds in the Shenyang urban area. (4) Along the leading edge of the bow echo, shallow low-level gamma scale cyclones are present. The rotation of low-level cyclones forms perturbation low pressure near the ground, enhancing the downdraft, while the cyclones interact with the strong inflow jet on the rear side, leading to locally strong thunderstorm winds.

Abstract Dyskalemia are associated with an increased risk of mortality in patients undergoing maintenance hemodialysis (MHD). However, studies evaluating the impact of serum potassium variability on mortality in MHD patients are scarce. To investigate serum potassium variability and its association with prognosis in MHD patients, we conducted a retrospective study on maintenance hemodialysis patients from three campus of Renji Hospital between June 2018 and December 2022. The exposure of interest was serum potassium variability defined as the coefficient of variation of serum potassium levels (CVSP). Cox regression models and Kaplan-Meier survival analysis were used to assess the prognostic significance of serum potassium variability. In a subgroup analysis, the association between serum potassium variability and prognosis was investigated in patients within normal serum potassium concentration range. Total of 588 maintenance hemodialysis patients were included. During a median follow-up of 45 months (24, 54), 121 patients (20.6%) died. The survival analysis suggested significantly higher survival rates for both all-cause (p

In this study, the discrete element model of YCJ particles was established using reverse engineering reconstruction technology and EDEM software, and physical and virtual simulation experiments were conducted to calibrate the contact parameters. In addition, intrinsic parameters and contact parameters of YCJ during the brittle ripening period were measured directly. The heap angle was obtained through heap stacking experiments using the box extraction method, and MATLAB and Origin were utilized to obtain the heap angle. Factors and their ranges significantly affecting the heap angle were selected through Plackett-Burman experiments and steepest ascent experiments using the heap angle as the evaluation index. The physical heap angle of YCJ particles was 17.45°. The optimal combination of static and dynamic friction coefficients between YCJ particles was determined to be 0.395 and 0.446 through variance analysis and optimization calculations of the response surface optimization experiment. Using the optimal parameter combination for simulated heap stacking experiments, a simulated heap angle of 17.3° was measured, with an error of 0.86% compared to the physical heap angle. The results of physical grading and simulated grading experiments for YCJ particles were validated, and the accuracy error under the same operating conditions was 3.28%, with the particle motion state being basically consistent in physical and simulated experiments. The research results indicate that the particle model of YCJ and the calibrated discrete element simulation parameters are reliable, providing a reference for the calibration of contact parameters for fresh-eating jujubes.

Abstract Brain takes up approximately 20% of the total body oxygen and glucose consumption due to its relatively high energy demand. Glucose is one of the major sources to generate ATP, the process of which can be realized via glycolysis, oxidative phosphorylation, pentose phosphate pathways and others. Lactate serves as a hub molecule amid these metabolic pathways, as it may function as product of glycolysis, substrate of a variety of enzymes and signal molecule. Thus, the roles of lactate in central nervous system (CNS) diseases need to be comprehensively elucidated. Histone lactylation is a novel lactate-dependent epigenetic modification that plays an important role in immune regulation and maintaining homeostasis. However, there’s still a lack of studies unveiling the functions of histone lactylation in the CNS. In this review, we first comprehensively reviewed the roles lactate plays in the CNS under both physiological and pathological conditions. Subsequently, we’ve further discussed the functions of histone lactylation in various neurological diseases. Furthermore, future perspectives regarding histone lactylation and its therapeutic potentials in stroke are also elucidated, which may possess potential clinical applications.

Purpose – This paper analyzes the application of digital twin technology in the field of intelligent operation and maintenance of high-speed railway infrastructure from the perspective of top-level design. Design/methodology/approach – This paper provides a comprehensive overview of the definition, connotations, characteristics and key technologies of digital twin technology. It also conducts a thorough analysis of the current state of digital twin applications, with a particular focus on the overall requirements for intelligent operation and maintenance of high-speed railway infrastructure. Using the Jinan Yellow River Bridge on the Beijing–Shanghai high-speed railway as a case study, the paper details the construction process of the twin system from the perspectives of system architecture, theoretical definition, model construction and platform design. Findings – Digital twin technology can play an important role in the whole life cycle management, fault prediction and condition monitoring in the field of high-speed rail operation and maintenance. Digital twin technology is of great significance to improve the intelligent level of high-speed railway operation and management. Originality/value – This paper systematically summarizes the main components of digital twin railway. The general framework of the digital twin bridge is given, and its application in the field of intelligent operation and maintenance is prospected.

Abstract Background Developing a strong professional identity is crucial to helping nursing students pursing nursing career. Stress and coping are two factors that may influence professional identity. The relationship between nursing interns’ professional identity, coping, and perceived stress, however, has not received much attention in the literature. This study aimed to examine the role of coping as a mediator in the relationship between perceived stress and professional identity among nursing interns. Methods In September 2020, a cross-sectional study was done at a Chinese medical university. Data were collected online from 213 nursing interns via convenience sampling using the personal characteristics questionnaire, the professional identity scale for nursing students, the stress rating scale for nursing students in practice and the simplified coping style questionnaire. Multiple regression analysis, and a bootstrap approach with SPSS Process macro were adopted to examine the mediating role of coping on perceived stress and professional identity. Results The overall mean score for nursing interns’ professional identity was 3.30 ± 0.51. Perceived stress was negatively correlated with professional identity (r = -0.217, p

Abstract An improved 4H‐SiC SBD‐wall‐integrated trench metal‐oxide‐semiconductor (SWITCH‐MOS) with n‐bury and split‐gate is proposed. Under the premise of ensuring breakdown voltage (BV), the n‐bury layer can smooth the path to current conduction, which reduces the specific on‐resistance (RON, SP) and improves static characteristics. Besides, the split‐gate is able to transform the gate‐drain capacitance (CGD) and improve the dynamic characteristics. Therefore, a superior forward performance that SWITCH‐MOS always craves is achieved. According to the simulation results, compared to the conventional SWITCH‐MOS with almost the same BV, the proposed one reduces the RON, SP by 57% and the CGD by 59% while gaining equally advanced reverse performance. Its reverse conduction voltage is only −1.78 V, but its figure of merit reaches 1.67 GW/cm2 and 65 mΩ·nC, which is attractive for the application in power inverters.

In this study, we introduced a novel approach by using natural calcium phosphate-based ceramic whitlockite as the matrix, natural silicon-based ceramic wollastonite fiber as the secondary phase, and desktop-level DLP 3D printing as the fabrication method to develop an all-natural ceramic porous bone scaffold with excellent mechanical, degradable, biomineralization, and cell responses. The results demonstrated that, at a solid loading of 75 wt% and a sintering temperature of 1000 °C, the compressive strength of the whitlockite porous scaffold reached 20.0 MPa. With the incorporation of wollastonite fiber, the compressive strength of the composite ceramic scaffold further increased to 31.0 MPa, achieving a top-tier level for desktop-level DLP-printed porous ceramic bone scaffolds. This mechanical enhancement effect was mainly attributed to the grain refinement effect of WF on whitlockite and the fiber reinforcement effect of WF. Additionally, the degradation rate of the composite ceramic scaffold increased with higher WF content, attributed to the rapid degradation rate of WF and the microstructural changes in the whitlockite matrix induced by WF doping. Furthermore, the biomineralization capability and cellular response of the composite ceramic scaffold were enhanced with WF doping, due to the improved degradation ability promoting the release of calcium, phosphate, and silicon ions. This study further validates the applicability of desktop-level DLP for fabricating ceramic bone scaffolds and provides evidence of the potential of all-natural ceramic whitlockite/WF as bone scaffold materials.

Abstract The Indo-Pacific king mackerel, scientifically known as Scomberomorus guttatus, is a valued marine species that holds significant commercial importance in the Indo-Pacific region. However, the lack of genomic resources has hindered a comprehensive understanding of this species. In this study, we constructed a genome of Indo-Pacific king mackerel at the chromosome level using a combination of PacBio HiFi reads and a chromosome contact map (Hi-C). The resulting genome had high contig and scaffold N50 values of 8.84 Mb and 32.9 Mb, respectively. In the genome assembly, which is 797.66 Mb in size and consists of 24 chromosomes, we also identified 35.89% repetitive elements and predicted 25,886 protein-coding genes. Our study not only benefits to reveal the possible mechanism of adaptive evolution in this fish, but also offers insight for the future sustainable management of these valuable biological resources.

Abstract Background Developing a combined artificial intelligence (AI) and ultrasound imaging to provide an accurate, objective, and efficient adjunctive diagnostic approach for fetal heart ventricular septal defects (VSD). Methods 1,451 fetal heart ultrasound images from 500 pregnant women were comprehensively analyzed between January 2016 and June 2022. The fetal heart region was manually labeled and the presence of VSD was discriminated by experts. The principle of five-fold cross-validation was followed in the training set to develop the AI model to assist in the diagnosis of VSD. The model was evaluated in the test set using metrics such as mAP@0.5, precision, recall, and F1 score. The diagnostic accuracy and inference time were also compared with junior doctors, intermediate doctors, and senior doctors. Results The mAP@0.5, precision, recall, and F1 scores for the AI model diagnosis of VSD were 0.926, 0.879, 0.873, and 0.88, respectively. The accuracy of junior doctors and intermediate doctors improved by 6.7% and 2.8%, respectively, with the assistance of this system. Conclusions This study reports an AI-assisted diagnostic method for VSD that has a high agreement with manual recognition. It also has a low number of parameters and computational complexity, which can also improve the diagnostic accuracy and speed of some physicians for VSD.

Background: Data on SARSCoV-2 infection in children with hematological malignancies (HM) are limited. Here, we describe the clinical features of children with HM after SARS-CoV-2 infection and investigate the potential risk factors for disease severity. Methods: Children with HM and SARS-CoV-2 infection from five hospitals in five cities in Henan, China from October 2022 to January 2023 were retrospectively included. Clinical information and Coronavirus disease 2019 (COVID-19) vaccination status were collected for further analyses. Results: A total of 285 children with HM and SARS-CoV-2 infections were included. COVID-19 was asymptomatic in 3.2% of the patients (n = 9), mild in 89.1% (n = 254), moderate in 5.3% (n = 15), severe in 1.8% (n = 5), and critical in 0.7% (n = 2). Fever (92.4%) and cough (56.9%) were the most common symptoms. Most (249, 88.3%) children were managed at home during their COVID-19 illness. Of the 36 children admitted to the hospital, two required intensive care unit care, 11 required supplementary oxygen, and two non-invasive ventilation. A total of 283 (99.3%) children fully recovered and two (0.7%) died due to COVID-19. Significant risk factors for increased severity of infection in multivariable analyses were the presence of comorbidity (OR, 10.4; 95%CI, 2.8–38.7; p

Abstract Background The Aryl Hydrocarbon Receptor (AHR) is a transcription factor that regulates several biological processes. Its potential in anti-tumor immunotherapy is becoming clearer, yet no bibliometric studies on this topic exist. This study aims to understand the current research landscape and identify future directions through a bibliometric analysis of AHR’s anti-tumor immunological effects. Methods We conducted a comprehensive bibliometric analysis of AHR antitumor immunotherapy papers in the Web of Science Core Collection. Various aspects of the publications were analyzed, and research hotspots and future trends were identified using scientific bibliometric tools and statistical methods. Results We collected 592 English papers published between 2010 and 2023, with an almost annual increase. Most publications were from the USA, followed by China, Germany, and Italy. The journal “Frontiers in Immunology” had the most papers, and the most cited paper was Christiane A. Opitz’s “An endogenous tumour-promoting ligand of the human aryl hydrocarbon receptor.” The research is centered around AHR gene expression, with a growing focus on intestinal disease and the development of Programmed cell death ligand 1 (PD-L1) drugs. Conclusion This bibliometric study highlights the significance of AHR in immunomodulatory research, outlining the research trends and key contributors. It suggests AHR’s immune effects may mediate the process of colitis cancer transformation, providing valuable insights for future anti-tumor immunotherapy strategies based on AHR.

Abstract Endoplasmic reticulum (ER) membrane resident P5A-ATPases broadly affect protein biogenesis and quality control, and yet their molecular function remains debated. Here, we report cryo-EM structures of a P5A-ATPase, CtSpf1, covering multiple transport intermediates of the E1 → E1-ATP → E1P-ADP → E1P → E2P → E2.Pi → E2 → E1 cycle. In the E2P and E2.Pi states a cleft spans the entire membrane, holding a polypeptide cargo molecule. The cargo includes an ER luminal extension, pinpointed as the C-terminus in the E2.Pi state, which reenters the membrane in E2P. The E1 structure harbors a cytosol-facing cavity that is blocked by an insertion we refer to as the Plug-domain. The Plug-domain is nestled to key ATPase features and is displaced in the E1P-ADP and E1P states. Collectively, our findings are compatible with a broad range of proteins as cargo, with the P5A-ATPases serving a role in membrane removal of helices, although insertion/secretion cannot be excluded, as well as with a mechanistic role of the Plug-domain.

Abstract Plant evolution is driven by key innovations of functional traits that enables their survivals in diverse ecological environments. However, plant adaptive evolution from land to atmospheric niches remains poorly understood. In this study, we use the epiphytic Tillandsioideae subfamily of Bromeliaceae as model plants to explore their origin, evolution and diversification. We provide a comprehensive phylogenetic tree based on nuclear transcriptomic sequences, indicating that core tillandsioids originated approximately 11.3 million years ago in the Andes. The geological uplift of the Andes drives the divergence of tillandsioids into tank-forming and atmospheric types. Our genomic and transcriptomic analyses reveal gene variations and losses associated with adaptive traits such as impounding tanks and absorptive trichomes. Furthermore, we uncover specific nitrogen-fixing bacterial communities in the phyllosphere of tillandsioids as potential source of nitrogen acquisition. Collectively, our study provides integrative multi-omics insights into the adaptive evolution of tillandsioids in response to elevated aerial habitats.

Infectious muscle necrosis (IMN) caused by infectious myonecrosis virus (IMNV) broke out for the first time in Chinese shrimp in 2020, causing substantial economical loss to the shrimp farming industry. To understand the prevalence of Chinese IMNV in recent years, an epidemiological survey of IMNV was conducted in major Chinese shrimp farming areas between 2022–2023. Samples were analyzed using molecular biology and histopathology. A total of 829 samples were collected from Shandong, Jiangsu, Zhejiang, Hainan, Tianjin, Guangxi, Fujian, and Hebei. These samples included major farmed shrimp species, such as Penaeus vannamei, P. japonicas, P. chinensis, and Macrobrachium rosenbergii, as well as live feed, other aquatic economic species, and culture water. TaqMan real-time quantitative fluorescence RT-PCR (TaqMan RT-qPCR) was used for molecular detection. The skeletal muscle of diseased shrimp exhibited the typical plaque or diffuse white necrosis symptom of IMNV infection. IMNV was detected in major farmed shrimp species such as P. vannamei, P. japonicus, and P. chinensis. The positive samples were mainly distributed in Shandong, Hebei, Tianjin, and other provinces or cities around the Bohai Sea. In addition to farmed shrimp, IMNV-positive shrimp live bait (mainly Artemia) and offshore seawater filtered close to the farm was also detected. The IMNV-positive rates of samples collected in 2022 and 2023 were 6.27% (23/367) and 15.80% (73/462), respectively. The IMNV-positive TaqMan RT-qPCR samples were further analyzed using histopathological and in situ hybridization methods. The characteristic coagulation necrosis of IMNV infection was found in the white muscle tissue sections of the ventral and caudal segments of the diseased shrimp, with a clear blue-violet hybridization signal of the IMNV probe in the muscle tissue with pathological damage. The results of this study indicated a high positive rate of IMNV in cultured shrimp, biological live bait, and offshore seawater in many Chinese provinces between 2022–2023. Detection, monitoring, and early warning of IMNV infection in the shrimp farming process should be strengthened to reduce the risk of further spread and IMN epidemics.

Abstract Objective A single-center observational study to determine the clinical characteristics and therapeutic dose adjustments in women of reproductive age with infertility and non-classical 21-hydroxylase deficiency (NC-21OHD). Design A retrospective analysis of 20 women of reproductive age who were diagnosed with NC-21OHD during an infertility evaluation at Shengjing Hospital of China Medical University from January 2013 to May 2024 was performed. The clinical manifestations, auxiliary examinations, adjustment of glucocorticoid (GC) treatment during preconception and perinatal period, and pregnancy outcomes were analyzed. Results 14 of 16 patients (87.5%) had inappropriately elevated progesterone levels during the follicular phase. The average levels of 17α-hydroxyprogesterone, testosterone, androstenedione, and dehydroepiandrosterone sulfate in the follicular phase were also significantly increased. All 20 infertile patients received GC treatment before preparing for pregnancy. During the follow-up, six of 20 patients had seven conceptions. three patients had spontaneous abortions in the first trimester and four patients delivered babies (4/20). Three patients had a GC dose that was maintained throughout pregnancy and one had an increase in the GC dose starting in the second trimester. Of the remaining 16 patients, seven are still trying to conceive and nine had discontinued treatment. Conclusions An abnormal increase in the follicular phase progesterone level is the most common serologic marker for NC-21OHD among infertile women. Ovulation can be restored after GC treatment, but the proportion of successful conceptions remains low. The dose of GCs in most pregnant women remained unchanged throughout pregnancy.

Abstract Platinum is a key component of ovarian cancer systemic therapy. However, most patients will eventually face a recurrence, leading to chemotherapy resistance, especially against platinum. For individuals with platinum-resistant ovarian cancer (PROC), treatment options are limited, and their survival prospects are grim. The emergence of antibody–drug conjugates (ADCs) shows promises as a future treatment for PROC. This review synthesizes current research on the effectiveness of ADCs in treating PROC. It encapsulates the advancements and clinical trials of novel ADCs that target specific antigens such as Folate Receptor alpha (FRα), MUC16, NaPi2b, Mesothelin, Dipeptidase 3(DPEP3), and human epidermal growth factor receptor 2 (HER2), as well as tissue factor, highlighting their potential anti-tumor efficacy and used in combination with other therapies. The ADCs landscape in ovarian cancer therapeutics is swiftly evolving, promising more potent and efficacious treatment avenues.

Abstract To address the issue of low accuracy in soft sensor modeling of key variables caused by multi-variable coupling and parameter sensitivity in complex processes, this paper introduces a TSK-type-based self-evolving compensatory interval type-2 fuzzy Long short-term memory (LSTM) neural network (TSECIT2FNN-LSTM) soft sensor model. The proposed TSECIT2FNN-LSTM integrates the LSTM neural network with the interval type-2 fuzzy inference system to address long-term dependencies in sequence data by utilizing the gate mechanism of the LSTM neural network. The TSECIT2FNN-LSTM structure learning algorithm uses the firing strength of the network rule antecedent to decide whether to generate new rules to improve the rationality of the network structure. TSECIT2FNN-LSTM parameter learning utilizes the gradient descent method to optimize network parameters. However, unlike other interval type-2 fuzzy neural network gradient calculation processes, the error term in the LSTM node parameter gradient of TSECIT2FNN-LSTM is propagated backwards in the time dimension. Additionally, the error term is simultaneously transferred to the upper layer network to enhance network prediction accuracy and memory capabilities. The TSECIT2FNN-LSTM soft sensor model is utilized to predict the alcohol concentration in wine and the nitrogen oxide emission in gas turbines. Experimental results demonstrate that the proposed TSECIT2FNN-LSTM soft sensing model achieves higher prediction accuracy compared to other models.

Abstract Cellular communication network factor 2 (CCN2) is a secreted extracellular matrix-associated protein, and its aberrantly increased expression has been implicated in a diversity of diseases involving pathological processes of fibrosis, chronic inflammation, or tissue injury, which has promoted the evaluation of CCN2 as therapeutic targets for multiple disorders. However, human phenotypes associated with CCN2 deficiency have remained enigmatic; variants in CCN2 have not yet been associated with a human phenotype. Here, we collected families diagnosed with spondyloepimetaphyseal dysplasia (SEMD), and screened candidate pathogenic genes for families without known genetic causes using next-generation sequencing. We identified a monoallelic variant in signal peptide of CCN2 (NM_001901.2: c.65 G > C [p.Arg22Pro]) as the cause of SEMD in 14 subjects presenting with different degree of short stature, premature osteoarthritis, and osteoporosis. Affected subjects showed decreased serum CCN2 levels. Cell lines harboring the variant displayed decreased amount of CCN2 proteins in culture medium and an increased intracellular retention, indicating impaired protein secretion. And the variant weakened the stimulation effect of CCN2 on osteogenesis of bone marrow mesenchymal stem cells. Zebrafish ccn2a knockout model and osteoblast lineage-specific Ccn2-deficient mice (Ccn2 fl/fl ;Prx1 Cre ) partially recapitulated the phenotypes including low bone mass observed in affected subjects. Pathological mechanism implicated in the skeletal abnormality in Ccn2 fl/fl ;Prx1 Cre mice involved decreased bone formation, increased bone resorption, and abnormal growth plate formation. Collectively, our study indicate that monoallelic variants in CCN2 lead to a human inherited skeletal dysplasia, and highlight the critical role of CCN2 in osteogenesis in human.

Objective: To determine the efficacy and safety of the Yinmei Kuijie decoction combined with 5-aminosalicylic acid (5-ASA) in treating mildly to moderately active ulcerative colitis (UC) under real-world conditions. Methods: This multicenter, prospective, non-randomized, observational study will be conducted in real-world settings. A total of 204 eligible patients will be consecutively enrolled in the study. Patients in the combination treatment group will receive Yinmei Kuijie decoction in combination with 5-ASA, whereas those in the control group will be treated with 5-ASA alone. The primary endpoint will be a clinical response at week 12, defined as a ≥3 point and ≥30% reduction from baseline in the Mayo total score with ≥1 reduction in rectal bleeding or rectal bleeding score = 0 or 1. Secondary efficacy endpoints at week 12 will include health-related quality of life, mucosal healing, and inflammation indicators. Conclusion: The results of this study may provide evidence of the efficacy and safety of Yinmei Kuijie decoction combined with 5-ASA in treating patients with mildly to moderately active UC under real-world principles. The results will provide a basis for further confirmatory studies on the efficacy of Yinmei Kuijie decoction.

Abstract Objective To analyze the influencing factors and treatment options of cervical spondylotic myelopathy (CSM) complicated with traumatic central cord syndrome (TCCS). Methods A total of 243 patients with CSM admitted to our hospital from January 2021 to September 2022 were retrospectively analyzed, and then divided into the control group (n = 152) and the observation group (n = 91) according to the presence or absence of concurrent TCCS. The clinical data and imaging data of the two groups were compared, and multivariate logistic regression was used to analyze the influencing factors of CSM complicated with TCCS. Patients in the observation group were further divided into the zero notch anterior cervical interbody fusion device (Zero-P) group (n = 45) and the cervical spine locking plate (CSLP) group (n = 46) according to the treatment mode, and the perioperative indexes of the two groups were compared. The treatment effects were evaluated by the American Spinal Injury Association (ASIA) and the Japanese Orthopedic Association (JOA) before surgery, 1 week after surgery and 6 months after surgery. The height of intervertebral space and the cervical lordosis angle were measured. Results Multivariate logistic regression analysis showed that the injury mechanism (hyperextension injury), hand muscle weakness, cervical instability, age, degree of cervical spinal stenosis, degree of cervical spinal cord compression, and changes in intramedullary high signal were the risk factors, while the type of compression (soft), ASIA score and JOA score were the protective factor for CSM complicated with TCCS (P

Abstract Background The addition of wine lees to diets can make up for the deficiencies caused by traditional forages in beef cattle farming. However, the effects of different wine lees ratios on average daily weight, gastrointestinal microbial community structure and metabolites in Guanling crossbred cattle have been rarely studied. This study assessed the effects of feeds containing wine lees on weight gain, gastrointestinal microbial community structure, and metabolites in Guanling crossbred cattle and elucidated the metabolic responses induced by wine lees. Eighteen cows were randomly assigned to receive fed concentrate (C group), feed containing 15% wine lees (group A), or feed containing 30% wine lees (group B) for 60 days. Results The average daily weight gain of group A and group B increased by 76.75% and 57.65%, respectively, compared with group C. Microbial community analysis showed that wine lees increased the abundance of Prevotella_1 in the rumen, decreased the abundance of Ruminococcaceae UCG 011 and Lachnospiraceae_FCS020_group in the rumen, and increased the abundance of Tyzzerella_4, Family_Xlll_AD3011_group, Granulicella, and Eisenbergiella in the cecum. Metabolomics analyses showed that wine lees decreased the concentrations of indole-3-ethanol in the rumen, and complexity cecal metabolism. Notably, linoleic acid metabolism was significantly enriched in both the rumen and cecum. Mantel test analyses indicated that the adverse effects of WL were reduced by stimulating the metabolism of linoleic acid, α-linolenic acid, and tryptophan, and these changes were mediated by intestinal microorganisms. The Guanling cattle cecum was enriched for several unfavorable metabolic pathways when wine lees concentrations reached 30%, which increased the likelihood of intestinal lesions. Conclusion This study shows that WL supplementation alters gut microbiota and metabolic pathways, improving cattle growth and health. Moderate WL levels (15%) enhance gut health and beneficial pathways (e.g., linoleic and alpha-linolenic acid metabolism). However, higher WL inclusion (30%) may activate adverse pathways, raising the risk of intestinal damage. To maximize benefits and minimize risks, WL levels should be carefully managed.

Abstract Background The ecosystems of marine ranching have enhanced marine biodiversity and ecological balance and have promoted the natural recovery and enhancement of fishery resources. The microbial communities of these ecosystems, including bacteria, fungi, protists, and viruses, are the drivers of biogeochemical cycles. Although seasonal changes in microbial communities are critical for ecosystem functioning, the current understanding of microbial-driven metabolic properties and their viral communities in marine sediments remains limited. Here, we employed amplicon (16S and 18S) and metagenomic approaches aiming to reveal the seasonal patterns of microbial communities, bacterial-eukaryotic interactions, whole metabolic potential, and their coupling mechanisms with carbon (C), nitrogen (N), and sulfur (S) cycling in marine ranching sediments. Additionally, the characterization and diversity of viral communities in different seasons were explored in marine ranching sediments. Results The current study demonstrated that seasonal variations dramatically affected the diversity of microbial communities in marine ranching sediments and the bacterial-eukaryotic interkingdom co-occurrence networks. Metabolic reconstruction of the 113 medium to high-quality metagenome-assembled genomes (MAGs) was conducted, and a total of 8 MAGs involved in key metabolic genes and pathways (methane oxidation - denitrification - S oxidation), suggesting a possible coupling effect between the C, N, and S cycles. In total, 338 viral operational taxonomic units (vOTUs) were identified, all possessing specific ecological characteristics in different seasons and primarily belonging to Caudoviricetes, revealing their widespread distribution and variety in marine sediment ecosystems. In addition, predicted virus-host linkages showed that high host specificity was observed, with few viruses associated with specific hosts. Conclusions This finding deepens our knowledge of element cycling and viral diversity in fisheries enrichment ecosystems, providing insights into microbial-virus interactions in marine sediments and their effects on biogeochemical cycling. These findings have potential applications in marine ranching management and ecological conservation. Video Abstract

Abstract Advanced pancreatic ductal adenocarcinomas (PDACs) respond poorly to all therapies, including the first-line treatment, chemotherapy, the latest immunotherapies, and KRAS-targeting therapies. Despite an enormous effort to improve therapeutic efficacy in late-stage PDAC patients, effective treatment modalities remain an unmet medical challenge. To change the status quo, we explored the key signaling networks underlying the universally poor response of PDAC to therapy. Here, we report a previously unknown chemo-induced symbiotic signaling circuit that adaptively confers chemoresistance in patients and mice with advanced PDAC. By integrating single-cell transcriptomic data from PDAC mouse models and clinical pathological information from PDAC patients, we identified Yap1 in cancer cells and Cox2 in stromal fibroblasts as two key nodes in this signaling circuit. Co-targeting Yap1 in cancer cells and Cox2 in stroma sensitized PDAC to Gemcitabine treatment and dramatically prolonged survival of mice bearing late-stage PDAC, whereas simultaneously inhibiting Yap1 and Cox2 only in cancer cells was ineffective. Mechanistically, chemotherapy triggers non-canonical Yap1 activation by nemo-like kinase in 14-3-3ζ-overexpressing PDAC cells and increases secretion of CXCL2/5, which bind to CXCR2 on fibroblasts to induce Cox2 and PGE2 expression, which reciprocally facilitate PDAC cell survival. Finally, analyses of PDAC patient data revealed that patients who received Statins, which inhibit Yap1 signaling, and Cox2 inhibitors (including Aspirin) while receiving Gemcitabine displayed markedly prolonged survival compared to others. The robust anti-tumor efficacy of Statins and Aspirin, which co-target the chemo-induced adaptive circuit in the tumor cells and stroma, signifies a unique therapeutic strategy for PDAC.

A rice low temperature-induced albino variant was determined by the recessive ltia1 and ltia2 genes. LTIA1 and LTIA2 encode highly conserved mini-ribonucleases III located in chloroplasts and expressed in aerial parts of the plant. At low temperature, LTIA1 and LTIA2 redundantly affect chlorophyll levels, non-photochemical quenching, photosynthetic quantum yield of PS II and seedling growth. LTIA1 and LTIA2 proteins are involved in splicing of atpF and the biogenesis of 16S and 23S rRNA in chloroplasts. Presence/absence variation of LTIA1, the ancestral copy, was found only in japonica but that of LTIA2 in all rice subgroups. Accessions with LTIA2 presence tended to be distributed more remote from the equator compared to those with LTIA2 absence. LTIA2 duplicated from LTIA1 at the early stage of divergence of the AA genome Oryza species but deleted againin O. nivara. In cultivated rice, absence of LTIA2 is derived from O. nivara. LTIA1 absence occurred more recently in japonica.

Abstract Emerging research has shown that lactic acid bacteria in the intestines of newborns play a beneficial role in the growth, immune function, and metabolism of infants after birth. In this study, four strains of Lactobacillus were isolated from fecal samples of newborns, and a safe Lactiplantibacillus plantarum ZFM518 (ZFM518) strain was obtained after the screening, which showed excellent antibacterial activity and adhesion potential. The strain exhibited excellent ability to survive in acidic environments, simulated gastric juice, and simulated intestinal environments, respectively. ZFM518 had a bacteriostatic zone of 31.12 ± 0.33 mm against Staphylococcus aureus, a hydrophobic rate of 76.97% ± 3.35%, and a survival activity of 96.54% ± 0.14% under a simulated intestinal fluid environment. Moreover, ZFM518 can produce up to 161.11 ± 9.67 ng/mL of folate. A genome‐wide investigation of ZFM518 revealed that the majority of its genes were involved in the metabolism of amino acids, carbohydrates, adhesion, immunological defense, and antibacterial activity. In addition, only one antibiotic resistance gene of the antimicrobial peptide was annotated. These results indicate that ZFM518 is a new strain with a strong comprehensive ability and probiotic potential. This study can provide practical support for screening potential probiotics from infant feces and provide a theoretical basis for developing probiotic resources.

Abstract In recent years, the application of real scene 3D technology has become widespread in urban planning and cultural heritage protection. However, there has been relatively little attention paid to the construction of real scene 3D models for special natural landscapes such as caves. Given the global distribution of karst topography and the large number of naturally developed caves with diverse types, unique landscape styles, and significant scientific value, this paper enriches the research in this field. By combining ground-based and aerial remote sensing techniques, and based on 3D laser scanning and photogrammetry, we have successfully constructed a real scene 3D model of the internal structure of a karst cave with a precision better than 4 cm. Utilizing Unmanned Aerial Vehicle (UAV) oblique photography, we established a real scene 3D model of the external karst landform with a precision better than 2 cm. We also integrated the internal and external 3D models of the cave, developing a new, complete, and high-precision method for constructing real scene 3D models of karst cave landscapes. Furthermore, we proposed a method for texture reproduction in the dark environment inside the caves, enhancing the reproduction and visual appeal of the real interior. The establishment of high-precision real scene 3D models can not only serve as an effective tool for scientific research on caves but also, as replicas of the real world, play a crucial role in public dissemination and education, thereby enhancing public understanding of cave geological landscapes.

Abstract Background Our research endeavored to develop a robust predictive signature grounded in super-enhancer-related genes (SERGs), with the dual objectives of forecasting survival outcomes and evaluating the tumor immune microenvironment (TiME) in hepatocellular carcinoma (HCC). Methods HCC RNA-sequencing data were retrieved from The Cancer Genome Atlas (TCGA), and 365 patients were randomly assigned to training or testing sets in 1:1 ratio. SERGs of HCC were downloaded from Super-Enhancer Database (SEdb). On the basis of training set, a SERGs signature was identified, and its prognostic value was confirmed by internal and external validation (GSE14520) sets. We subsequently examined the model for potential functional enrichment and the degree of tumor immune infiltration. Additionally, we carried out in vitro experiments to delve into the biological functions of CBX2 gene. Results An SE-related prognostic model including CBX2, TPX2, EFNA3, DNASE1L3 and SOCS2 was established and validated. According to this risk model, patients in the high-risk group had a significantly worse prognosis, and their immune cell infiltration was significantly different from that of low-risk group. Moreover, the high-risk group exhibited a significant enrichment of tumor-associated pathological pathways. The SERGs signature can generally be utilized to screen HCC patients who are likely to respond to immunotherapy, as there is a positive correlation between the risk score and the Tumor Immune Dysfunction and Exclusion (TIDE) score. Furthermore, the downregulation of the CBX2 gene expression was found to inhibit HCC cell viability, migration, and cell cycle progression, while simultaneously promoting apoptosis. Conclusions We developed a novel HCC prognostic model utilizing SERGs, indicating that patients with high-risk score not only face a poorer prognosis but also may exhibit a diminished therapeutic response to immune checkpoint inhibitors (ICIs). This model is designed to tailor personalized treatment strategies to the individual needs of each patient, thereby improving the overall clinical outcomes for HCC patients. Furthermore, CBX2 is a promising candidate for therapeutic intervention in HCC.

Abstract Epithelial ovarian cancer (EOC) presents considerable difficulties in prognostication and treatment strategy development. Bevacizumab, an anti-angiogenic medication, has demonstrated potential in enhancing progression-free survival (PFS) in EOC patients. Nevertheless, the identification of individuals at elevated risk of disease progression following treatment remains a challenging task. This study was to develop and validate a deep learning (DL) model using retrospectively collected computed tomography (CT) plain scans of inoperable and recurrent EOC patients receiving bevacizumab treatment diagnosed between January 2013 and January 2024. A total of 525 patients from three different institutions were retrospectively included in the study and divided into training set (N = 400), internal test set (N = 97) and external test set (N = 28). The model’s performance was evaluated using Harrell’s C-index. Patients were categorized into high-risk and low-risk group based on a predetermined cutoff in the training set. Additionally, a multimodal model was evaluated, incorporating the risk score generated by the DL model and the pretreatment level of carbohydrate antigen 125 as input variables. The Net Reclassification Improvement (NRI) metric quantified the reclassification performance of our optimal model in comparison to the International Federation of Gynecology and Obstetrics (FIGO) staging model. The results indicated that DL model achieved a PFS predictive C-index of 0.73 in the internal test set and a C-index of 0.61 in the external test set, along with hazard ratios of 34.24 in the training set (95% CI: 21.7, 54.1; P

Abstract Background Compliance with medication is crucial for the favorable prognosis of children with epilepsy. The objective of this study was to assess the determinants of medication compliance and to construct a predictive model for the risk of non-compliance among pediatric epilepsy patients. Methods The study included children diagnosed with epilepsy and treated at our hospital between February 1 and September 30, 2023. We evaluated the demographic characteristics and medication compliance profiles of these patients. The predictive model’s performance was assessed using the receiver operating characteristic (ROC) curve to determine its sensitivity and specificity. Results A total of 168 children with epilepsy were analyzed. The rate of non-compliance with medication was found to be 32.74% (55 out of 168). Logistic regression identified the educational level of parents (OR = 2.844, 95% CI: 2.182–3.214), monthly household income (OR = 1.945, 95% CI: 1.203–2.422), the number of medications taken (OR = 1.883, 95% CI: 1.314–2.201), and the level of epilepsy knowledge received (OR = 2.517, 95% CI: 1.852–3.009) as significant factors influencing non-compliance (all p

Abstract Background Lung squamous cell carcinoma (LUSCs) is associated with high mortality (20–30%) and lacks of effective treatments. Almost all LUSC exhibit somatic mutations in TP53. Wee1, a tyrosine kinase, regulates the cell cycle at the G2/M checkpoint. In TP53-deficient cells, the dependence on G2/M checkpoints increases. PD0166285 is the first reported drug with inhibitory activity against both Wee1 and PKMYT1. Methods Protein expression was determined by Western blot analysis. Cell proliferation was assessed using cell colony formation and CCK-8 assays. Cell cycle was performed by PI staining with flow cytometry. Apoptosis was evaluated using Annexin V-Phycoerythrin double staining and flow cytometry. DNA damage was detected through comet assay and immunofluorescence assay. In vivo, apoptosis and anti-tumor effects were assessed using the TUNEL assay, a nude mouse model, and immunohistochemistry (IHC). Co-immunoprecipitation assay was used to detect protein–protein interactions. We analyzed Wee1, PKMYT1, and Stat1 expression in pan-cancer studies using the Ualcan public database and assessed their prognostic implications with Kaplan–Meier curves. Result PD0166285, a Wee1 inhibitor, effectively inhibits Wee1 activity, promoting cell entry into a mitotic crisis. Moreover, PD0166285 sensitizes cells to cisplatin, enhancing clinical outcomes. Our study demonstrated that PD016628 regulates the cell cycle through Rad51 and results in cell cycle arrest at the G2/M phase. We observed increased apoptosis in tumor cells treated with PD0166285, particularly when combined with cisplatin, indicating an enhanced apoptotic response. The upregulation of γ-H2AX serves as an indicator of mitotic catastrophe. Co-immunoprecipitation and data analysis revealed that apoptosis in LUSC is mediated through the Stat1 pathway, accompanied by decreased levels of Socs3. Furthermore, IHC staining confirmed significant differences in the expression of Phospho-CDK1 and γ-H2AX in LUSCs, suggesting involvement in DNA damage. Conclusions In summary, our study suggests that PD0166285, an inhibitor of Wee1, sensitizes LUSC cells to cisplatin and modulates DNA damage and apoptosis pathways through Rad51 and Stat1, respectively. These findings highlight the combination of PD0166285 and cisplatin as a promising therapeutic approach for treating LUSC.

Abstract The development of high-performance metal-free organic X-ray scintillators (OXSTs), characterized by a synergistic combination of robust X-ray absorption, efficient exciton utilization, and short luminescence lifetimes, poses a considerable challenge. Here we present an effective strategy for achieving augmented X-ray scintillation through the utilization of halogenated open-shell organic radical scintillators. Our experimental results demonstrate that the synthesized scintillators exhibit strong X-ray absorption derived from halogen atoms, display efficacious X-ray stability, and theoretically achieve 100% exciton utilization efficiency with a short lifetime (∼18 ns) due to spin-allowed doublet transitions. The superior X-ray scintillation performance exhibited by these organic radicals is not only exploitable in X-ray radiography for contrast imaging of various objects but also applicable in a medical high-resolution micro-computer-tomography system for the clear visualization of fibrous veins within a bamboo stick. Our study substantiates the promise of organic radicals as prospective candidates for OXSTs, offering valuable insights and a roadmap for the development of advanced organic radical scintillators geared towards achieving high-quality X-ray radiography.

Abstract Objective Diminished ovarian reserve (DOR) encompasses both reproductive and endocrine disorders, resulting in a decline in female fertility. This paper explored the mechanism of Yangjing Zhongyu Decoction (YJZYD) regulating mitochondrial dynamics of ovarian granulosa cells (GCs) to improve DOR. Methods DOR patients were treated with YJZYD, with ovarian volume (OV), antral follicle count (AFC), and endometrial thickness (EMT) detected. C57BL/6 female mice were treated by cyclophosphamide (Cy) intraperitoneal injection and YJZYD solution daily gavage, with serum anti-Mullerian hormone (AMH), follicle-stimulating hormone (FSH), luteinizing hormone (LH), and estradiol (E2) levels determined. Ovarian GCs (KGN) were interfered with 4-Hydroperoxy-Cyclophosphamide (4-HC) and treated with the MAPK/ERK pathway inhibitor or activator. Results DOR patients showed increased levels of serum AMH, E2, OV, AFC and EMT, while reduced FSH and LH levels after YJZYD treatment. After Cy induction, DOR mice exhibited irregular estrous cycles, diminished serum AMH and E2 levels, elevated FSH and LH levels, reduced follicle number and atresia follicle number, disorderly arranged GCs, and severe interstitial fibrosis. After 4-HC treatment, KGN proliferation and Bcl-2, MFN1, and MFN2 were suppressed, while apoptotic rate, Bax, Cleaved-caspase-3, and p-Drp1 (Ser616) levels, and mitochondrial fission and quantity increased. YJZYD promoted 4-HC-treated KGN proliferation, boosted mitochondrial fusion, and inhibited apoptosis and mitochondrial fission via the MAPK/ERK pathway. Conclusion YJZYD promoted ovarian GC proliferation and mitochondrial fusion, suppressed cell apoptosis and mitochondrial fission, and effectively improved DOR in mice by activating the MAPK/ERK pathway, providing a theoretical basis for the clinical application value of YJZYD in DOR treatment.

BackgroundDue to the strong sunlight in summer, the temperature on the vehicle deck rises significantly under solar radiation and the internal structures are heated, resulting in prominent heat stress problems in the cabin and seriously affecting the training performance of staff.ObjectiveTo study temperature variation patterns inside special vehicle cabins after being exposed to solar radiation, and the quantitative relationship of convection and radiative heat transfer between the vehicle interior environment and the human body, which will provide design reference for further cabin temperature control.MethodsUsing a solar radiation simulation experimental system, a 6 h exposure experiment was conducted on a special vehicle. The solar radiation intensity from 9:00 to 15:00 on a summer day at an open testing field site was used as the experimental conditions. The tested parameters included temperature on the surface of the vehicle deck (10 points), ambient temperature in the cabin (2 points), near body ambient temperature of testees, radiative heat flux, and total heat flux.ResultsThe temperature of vehicle deck, cabin, and near body increased with the rising solar radiation intensity before 13:30, and then gradually stabilized. The highest temperatures on the vehicle deck and inside the cabin reached 60.5 ℃ and 39.3 ℃, respectively. The highest ambient temperatures of near body for the 4 testees were 41.4 ℃, 41.1 ℃, 41.3 ℃, and 40.8 ℃, respectively, when the humidity inside the cabin was 48.7%. The ratio of radiative heat and convective heat acting on the human body varied over time. The heat transfer between personnel and the vehicle deck and cabin environment mainly exhibited human body heat dissipation until 9:30, when the ratio of radiative heat flux and convective heat flux of the the testees' head/face and chest/abdomen ranged from 1∶4 to 1∶7, and the ratio of the testees' feet was about 1∶3. During 10:00 to 11:00, the human body still exhibited heat dissipation towards the environment, with convective heat dissipation dominating towards the cabin environment, while the vehicle deck gradually began to transform radiative heat towards the human body, when the ratio of radiative heat flux to convective heat flux was 1∶3 to 1∶6. After 11:00, the main heat transfer pattern was from the surrounding environment to the human body, and the ratio of radiative heat flux to convective heat flux was 1∶9 to 1∶12, when the values of radiative heat flux and convective heat flux both significantly increased, and convective heat transfer was dominant.ConclusionThe temperature of the special vehicle deck, cabin environment, and near body ambient increases with higher solar radiation intensity. The radiative heat flux and convective heat flux between the cabin environment and the human body gradually increase with the radiation intensity and radiation time, and the quantitative relationship between the two changes with time. Among them, convective heat transfer is always the main heat transfer mode, and the impact of radiative heat transfer on the human body cannot be ignored.

The utilization of heavy-panicle hybrid rice exemplifies the successful integration of architectural enhancement and heterosis, which has been widely adopted in the southwest rice-producing area of China. Iterative improvement in disease resistance and grain quality of heavy-panicle hybrid rice varieties is crucial to promote their sustainable utilization. Here, we performed a molecular design breeding strategy to introgress beneficial alleles of broad-spectrum disease resistance and grain quality into a heavy-panicle hybrid backbone restorer line Shuhui 600 (R600). We successfully developed introgression lines through marker-assisted selection to pyramid major genes (Wxb + ALKA-GC + Pigm + Xa23) derived from three parents (Huanghuazhan, I135, I488), which significantly enhance grain quality and confer resistance to rice blast and bacterial blight (BB). The improved parental R600 line (iR600) exhibited superior grain quality and elevated disease resistance while maintaining the heavy-panicle architecture and high-yield capacity of R600. Moreover, the iR600 was crossed with male sterility line 608A to obtain a new heavy-panicle hybrid rice variety with excellent eating and cooking quality (ECQ) and high yield potential. This study presents an effective breeding strategy for rice breeders to expedite the improvement of grain quality and disease resistance in heavy-panicle hybrid rice.