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Neuromorphic computing has the potential to achieve the requirements of the next-generation artificial intelligence (AI) systems, due to its advantages of adaptive learning and parallel computing. Meanwhile, biocomputing has seen ongoing development with the rise of synthetic biology, becoming the driving force for new generation semiconductor synthetic biology (SemiSynBio) technologies. DNA-based biomolecules could potentially perform the functions of Boolean operators as logic gates and be used to construct artificial neural networks (ANNs), providing the possibility of executing neuromorphic computing at the molecular level. Herein, we briefly outline the principles of neuromorphic computing, describe the advances in DNA computing with a focus on synthetic neuromorphic computing, and summarize the major challenges and prospects for synthetic neuromorphic computing. We believe that constructing such synthetic neuromorphic circuits will be an important step toward realizing neuromorphic computing, which would be of widespread use in biocomputing, DNA storage, information security, and national defense.

Abstract Background Accumulating evidences indicate regional grey matter (GM) morphology alterations in pediatric growth hormone deficiency (GHD); however, large-scale morphological brain networks (MBNs) undergo these patients remains unclear. Objective To investigate the topological organization of individual-level MBNs in pediatric GHD. Methods Sixty-one GHD and 42 typically developing controls (TDs) were enrolled. Inter-regional morphological similarity of GM was taken to construct individual-level MBNs. Between-group differences of topological parameters and network-based statistics analysis were compared. Finally, association relationship between network properties and clinical variables was analyzed. Results Compared to TDs, GHD indicated a disturbance in the normal small-world organization, reflected by increased Lp, γ, λ, σ and decreased Cp, Eglob (all P FDR < 0.017). Regarding nodal properties, GHD exhibited increased nodal profiles at cerebellum 4-5, central executive network-related left inferior frontal gyrus, limbic regions-related right posterior cingulate gyrus, left hippocampus, and bilateral pallidum, thalamus (all P FDR < 0.05). Meanwhile, GHD exhibited decreased nodal profiles at sensorimotor network -related bilateral paracentral lobule, default-mode network-related left superior frontal gyrus, visual network -related right lingual gyrus, auditory network-related right superior temporal gyrus and bilateral amygdala, right cerebellum 3, bilateral cerebellum 10, vermis 1-2, 3, 4-5, 6 (all P FDR < 0.05). Furthermore, serum markers and behavior scores in GHD group were correlated with altered nodal profiles (P ≤ 0.046, uncorrected). Conclusion GHD undergo an extensive reorganization in large-scale individual-level MBNs, probably due to abnormal cortico-striatal-thalamo-cerebellum loops, cortico-limbic-cerebellum, dorsal visual-sensorimotor-striatal, and auditory-cerebellum circuitry. This study highlights the crucial role of abnormal morphological connectivity underlying GHD, which might result in their relatively slower development in motor, cognitive, and linguistic functional within behavior problem performance.

Abstract Background Whether endobiliary radiofrequency ablation (EB-RFA) changes the standard role of stent placement in treating unresectable malignant biliary obstruction (MBO) remains unclear. The aim of this study is to compare percutaneous EB-RFA and metal stent placement (RFA-Stent) with metal stent placement alone (Stent) in treating unresectable MBO using a propensity score matching (PSM) analysis. Methods From June 2013 to June 2018, clinical data from 163 patients with malignant biliary obstruction who underwent percutaneous RFA-Stent or stenting alone were retrospectively analyzed using a nearest-neighbor algorithm to one-to-one PSM analysis to compare primary and secondary stent patency (PSP, SSP), overall survival (OS) and complications between the two groups. Results Before matching, for whole patients, RFA-Stent resulted in longer median PSP (8.0 vs. 5.1 months, P = 0.003), SSP (9.8 vs. 5.1 months, P

Abstract Background At present, the guidelines for urology recommend percutaneous nephrolithotomy (PCNL) as the preferred treatment for staghorn renal calculi (SRC). However, for complete SRC, it has been questioned by clinicians and patients due to high residual stone rate, complications, repeated hospitalizations and high treatment cost. Anatrophic nephrolithotomy (ANL) is a traditional and classic method for the treatment of SRC. Due to its high trauma and high technical requirements, it is difficult to carry out in primary hospitals, and gradually replaced by PCNL. The purpose of this study is to compare the efficacy of PCNL and ANL in the treatment of complete SRC. Methods Overall, 238 patients with complete SRC were divided into mini-PCNL in lateral supine position group, (n = 190) and ANL group (n = 94) according to treatment for a retrospective cohort study. The calculi parameters, renal function index, comorbidities of calculi, surgical complications, length and frequency of hospitalization, treatment costs, results of postoperative satisfaction survey were compared between the two groups. Results The risk of the residual stone rate after mini-PCNL in lateral supine position was 239 times (OR = 238.667, P

Abstract Background Cervical spondylosis (CS), including myelopathy and radiculopathy, is the most common degenerative cervical spine disease. This study aims to evaluate the clinical outcomes of unilateral biportal endoscopy (UBE) compared to those of conventional anterior cervical decompression and fusion (ACDF) for treating unilateral cervical radiculopathy or coexisting cervical myelopathy induced by unilateral cervical herniated discs. Methods A prospective, randomized, controlled, noninferiority trial was conducted. The sample consisted of 131 patients who underwent UBE or ACDF was conducted between September 2021 and September 2022. Patients with cervical nerve roots or coexisting spinal cord compression symptoms and imaging-defined unilateral cervical radiculopathy or coexisting cervical myelopathy induced by unilateral cervical herniated discs were randomized into two groups: a UBE group (n = 63) and an ACDF group (n = 68). The operative time, blood loss, length of hospital stay after surgery, and perioperative complications were recorded. Preoperative and postoperative modified Japanese Orthopaedic Association (mJOA) scale scores, visual analog scale (VAS) scores, neck disability index (NDI) scores, and recovery rate (RR) of the mJOA were utilized to evaluate clinical outcomes. Results The hospital stay after surgery was significantly shorter in patients treated with UBE than in those treated with ACDF (p

The condition monitoring and fault diagnosis of the rolling bearings of the main fan in the mine are significant to the safety of coal mine production. The existing fault diagnosis methods of rolling bearing have the problems of insufficient training and accuracy when applied directly in actual working conditions. Moreover, the rolling bearings of the mine main fan are in normal operation for a long time, and the number of normal samples is much more than the faulty samples, so there is a sample imbalance problem. Therefore, this paper proposes a fault diagnosis method for rolling bearings of mine main fan based on transfer learning. The method takes the conventional rolling bearing data as the source domain data and the mine main fan rolling bearing data as the target domain data. Firstly, the one-dimensional vibration signal is converted into two-dimensional SDP images using the SDP method, and then the conventional rolling bearing fault diagnosis model is trained using sufficient source domain image samples. After training, the parameters of the diagnostic model are transferred to the mine main fan rolling bearing fault diagnosis model, and the lower layer network is locked and the higher layer network of the model is fine-tuned by the target domain image samples during the transfer process, and finally the mine main fan rolling bearing fault diagnosis model with optimized parameter weights is obtained. Meanwhile, in order to solve the sample imbalance problem, a weighted cross-entropy loss function is added to the model for training, so that the diagnosis model gives higher weights to the fault samples as a minority class and pays more attention to the fault samples in the diagnosis process, thus improving the diagnosis accuracy. In order to verify the effectiveness of the proposed method, this paper uses a conventional rolling bearing fault test bench and the rolling bearing data of the mine main fan fan in actual working conditions for experimental verification. The results show that the proposed method can accurately identify and classify the operating status of the mine main fan rolling bearings, and the accuracy rate is 99.28%.

Abstract Purpose Awake extubation and deep extubation are commonly used anesthesia techniques. In this study, the safety of propofol-assisted deep extubation in the dental treatment of children was assessed. Materials and methods Children with severe caries who received dental treatment under general anesthesia and deep extubation between January 2017 and June 2023 were included in this study. Data were collected on the following variables: details and time of anesthesia, perioperative vital signs, and incidence of postoperative complications. The incidence of laryngeal spasm (LS) was considered to be the primary observation indicator. Results The perioperative data obtained from 195 children undergoing dental treatment was reviewed. The median age was 4.2 years (range: 2.3 to 9.6 years), and the average duration of anesthesia was 2.56 h (range 1 to 4.5 h). During intubation with a videoscope, purulent mucus was found in the pharyngeal cavity of seven children (3.6%); LS occurred in five of them (2.6%), and one child developed a fever (T = 37.8 °C) after discharge. Five children (2.6%) experienced emergence agitation (EA) in the recovery room. Also, 13 children (6.7%) experienced epistaxis; 10 had a mild experience and three had a moderate experience. No cases of airway obstruction (AO) and hypoxemia were recorded. The time to open eyes (TOE) was 16.3 ± 7.2 min. The incidence rate of complications was 23/195 (11.8%). Emergency tracheal reintubation was not required. Patients with mild upper respiratory tract infections showed a significantly higher incidence of complications (P

Abstract Study design A systematic review and meta-analysis. Background The complexity of human anatomical structures and the variability of vertebral body structures in patients with scoliosis pose challenges in pedicle screw placement during spinal deformity correction surgery. Through technological advancements, robots have been introduced in spinal surgery to assist with pedicle screw placement. Methods A systematic search was conducted using PubMed, Cochrane, Embase, and CNKI databases and comparative studies assessing the accuracy and postoperative efficacy of pedicle screw placement using robotic assistance or freehand techniques in patients with scoliosis were included. The analysis evaluated the accuracy of screw placement, operative duration, intraoperative blood loss, length of postoperative hospital stay, and complications. Results Seven studies comprising 584 patients were included in the meta-analysis, with 282 patients (48.3%) in the robot-assisted group and 320 (51.7%) in the freehand group. Robot-assisted placement showed significantly better clinically acceptable screw placement results compared with freehand placement (odds ratio [OR]: 2.61, 95% confidence interval [CI]: 1.75–3.91, P

Abstract Background Osteoporotic vertebral compression fractures (OVCF) in the elderly increase refracture risk post-surgery, leading to higher mortality rates. Genome-wide association studies (GWAS) have identified susceptibility genes for osteoporosis, but the phenotypic variance explained by these genes has been limited, indicating the need to explore additional causal factors. Epigenetic modifications, such as DNA methylation, may influence osteoporosis and refracture risk. However, prospective cohorts for assessing epigenetic alterations in Chinese elderly patients are lacking. Here, we propose to conduct a prospective cohort study to investigate the causal network of DNA polymorphisms, DNA methylation, and environmental factors on the development of osteoporosis and the risk of refracture. Methods We will collect vertebral and peripheral blood from 500 elderly OVCF patients undergoing surgery, extract DNA, and generate whole genome genotype data and DNA methylation data. Observation indicators will be collected and combined with one-year follow-up data. A healthy control group will be selected from a natural population cohort. Epigenome-wide association studies (EWAS) of osteoporosis and bone mineral density will be conducted. Differential methylation analysis will compare candidate gene methylation patterns in patients with and without refracture. Multi-omics prediction models using genetic variants and DNA methylation sites will be built to predict OVCF risk. Discussion This study will be the first large-scale population-based study of osteoporosis and bone mineral density phenotypes based on genome-wide data, multi-time point methylation data, and phenotype data. By analyzing methylation changes related to osteoporosis and bone mineral density in OVCF patients, the study will explore the feasibility of DNA methylation in evaluating postoperative osteoporosis intervention effects. The findings may identify new molecular markers for effective anti-osteoporosis treatment and inform individualized prevention and treatment strategies. Trial registration chictr.org.cn ChiCTR2200065316, 02/11/2022.

Purpose: To evaluate the efficacy of retinal massage combined with autologous blood covering in the treatment of persistent macular holes following vitrectomy in eyes with high myopia. Settings and Design: Retrospective, consecutive case series in a tertiary eye center. Methods: A total of 12 highly myopic eyes with persistent macular holes after vitrectomy and internal limiting membrane peeling received combined retinal massage, air/fluid exchange, autologous blood covering, and gas/silicone oil tamponade. Best-corrected visual acuity, axial length, and optical coherence tomographic images before and after the treatment were compared. Results: The mean hole diameter before this intervention was 931.58 ± 244.58 μm (range, 508–1270), and the axial length was 30.39 ± 2.13 mm (range, 27.08–34.64). During the 6-month follow-up period, hole closure was achieved in eight eyes (66.67%). The mean best-corrected visual acuity improved significantly from 1.40 ± 0.50 logarithm of the minimum angle of resolution (logMAR) at baseline to 1.10 ± 0.30 logMAR (P < 0.05). No complications were observed. Conclusions: Combined retinal massage and autologous blood covering, which is easy to manipulate, can promote the closure of persistent macular holes after vitrectomy and improve vision in high myopia with an axial length less than 29 mm.

Background Although the optimization of brain oxygenation is thought to improve the prognosis, the effect of brain tissue oxygen pressure (PbtO2) for patients with severe traumatic brain injury (STBI) remains controversial. Therefore, the present study aimed to determine whether adding PbtO2 to intracranial pressure (ICP) monitoring improves clinical outcomes for patients with STBI. Methods PubMed, Embase, Scopus and Cochrane Library were searched for eligible trials from their respective inception through April 10th, 2024. We included clinical trials contrasting the combined monitoring of PbtO2 and ICP versus isolated ICP monitoring among patients with STBI. The primary outcome was favorable neurological outcome at 6 months, and secondary outcomes including the in-hospital mortality, long-term mortality, length of stay in intensive care unit (ICU) and hospital. Results A total of 16 studies (four randomized studies and 12 cohort studies) were included in the meta-analysis. Compared with isolated ICP monitoring, the combined monitoring was associated with a higher favorable neurological outcome rate at 6 months (RR 1.33, 95% CI [1.17–1.51], P

Summary: The sea cucumber Apostichopus japonicus, a key species in Chinese aquaculture, plays a significant evolutionary role within the Echinodermata phylum. However, the sex determination mechanism in this species remains poorly understood. Here, we conducted extensive sex surveys and sampling of eight wild populations, investigating the sex-related SNPs and insertion or deletions (indels) through bulk segregation analysis (BSA) and genome-wide association study (GWAS) analysis. Our findings suggest that A. japonicus employs a polygenic sex determination (PSD) system, with solute carrier family 8 (SLC8A) being the candidate gene for sex determination, encoding sodium-calcium exchanger (NCX1). The analysis of normalized sequencing depth reveals variations across chromosomes 6, 13, 14, 16, and 18, supporting the PSD system. We also identified 541.656 kb of male-specific sequences and screened five markers (C77185, C98086, C64977, C125, and C876) for molecular sex identification. Overall, this study provides new insights into A. japonicus sex determination, highlighting a complex multi-gene mechanism rather than a simple XX/XY system.

BackgroundThe mechanism of cognitive impairment in hemodialysis patients is multifactorial. The relationship between cerebral blood flow and the decline of cognitive function is poorly understood.ObjectiveTo investigate the association between cerebral blood flow variation and decline of cognitive function in older patients undergoing hemodialysis.MethodsIn this prospective observational cohort study of 121 older patients undergoing hemodialysis, we used transcranial Doppler ultrasound (TCD) to measure cerebral arterial mean flow velocity (MFV) throughout dialysis, assessed cognitive function at baseline and 12-month follow-up, and then analyzed associations between MFV and changes on cognitive scores.ResultsTCD recordings demonstrated a significant reduction in MFV throughout dialysis, which were significantly correlated with cumulative ultrafiltration volume (rho 0.356, p

The accumulation of the active pharmaceutical chemical in the environment usually results in environmental pollution to increase the risk to human health. Indomethacin is a non-steroidal anti-inflammatory drug that potentially causes systemic and developmental toxicity in various tissues. However, there have been few studies for its potential effects on cardiac development. In this study, we systematically determined the cardiotoxicity of acute indomethacin exposure in zebrafish at different concentrations with morphological, histological, and molecular levels. Specifically, the malformation and dysfunction of cardiac development, including pericardial oedema, abnormal heart rate, the larger distance between the venous sinus and bulbus arteriosus (SV-BA), enlargement of the pericardial area, and aberrant motor capability, were determined after indomethacin exposure. In addition, further investigation indicated that indomethacin exposure results in myocardial apoptosis in a dose-dependent manner in zebrafish at early developmental stage. Mechanistically, our results revealed that indomethacin exposure mainly regulates key cardiac development-related genes, especially genes related to the cardiac muscle contraction-related signaling pathway, in zebrafish embryos. Thus, our findings suggested that acute indomethacin exposure might cause cardiotoxicity by disturbing the cardiac muscle contraction-related signaling pathway and inducing myocardial apoptosis in zebrafish embryos.

Objective There are more and more cases of metro tunnel engineering crossing through miscellaneous fill strata featured by high porosity, low strength, and easy deformation, resulting in unclear land subsidence mechanism of the above metro tunnel construction, an in-depth analysis on the deformation characteristics of this strata is required. Method Leveraging the underground-excavated metro tunnel project at Kandan Sta. to Yushuzhuang Sta. interval on Beijing Subway Line 16, and based on an introductive description of the interval engineering, a layout scheme of monitoring profiles (three typical profiles are selected) and monitoring points is elaborated. The monitored data at each measuring point on the three profiles are analyzed, forming the land subsidence time-history curve and the subsidence rate time-history curve for each profile. The subsidence trough curves of profile I under five values of formation loss rate are calculated, and the field-measured land subsidence trough curves of profile I are compared with three theoretically calculated subsidence trough curves. In turn, the characteristics of construction stratum deformation of underground-excavated metro tunnel in construction waste backfill layer are obtained. Result & Conclusion The miscellaneous fill is prone to collapsible subsidence, and the stratum can undergo overall subsidence under the disturbance of metro construction, further resulting in stratum deformation characterized by larger subsidence amount and wide subsidence trough. When the tunnel full-profile is within the range of miscellaneous fill, the disturbance degree of stratum by tunnel excavation is amplified, at which point grouting reinforcement under inverted arch is an effective measure to control land subsidence.

Abstract We investigate the proposed holographic duality between the TsT transformation of IIB string theory on AdS3 × $$\mathcal{N}$$ with NS-NS flux and a single-trace $$T\overline{T }$$ deformation of the symmetric orbifold CFT. We present a non-perturbative calculation of two-point correlation functions using string theory and demonstrate their consistency with those of the $$T\overline{T }$$ deformation. The two-point correlation function of the deformed theory on the plane, written in momentum space, is obtained from that of the undeformed theory by replacing h with $$h+2\frac{\widetilde{\lambda }}{w}p\overline{p }$$ , where h is the spacetime conformal weight, $$\widetilde{\lambda }$$ is a deformation parameter, p and $$\overline{p }$$ are the momenta, and w labels the twisted sectors in the deformed symmetric product. At w = 1, the non-perturbative result satisfies the Callan-Symanzik equation for double-trace $$T\overline{T }$$ deformed CFT derived in [1]. We also perform conformal perturbations on both the worldsheet CFT and the symmetric orbifold CFT as a sanity check. The perturbative and non-perturbative matching between results on the two sides provides further evidence of the conjectured $${\text{TsT}}/T\overline{T }$$ correspondence.

Abstract The disintegration of red-bed soft rock exhibits a strong correlation with various geological disasters. However, the investigation into the evolutionary mechanisms underlying disintegration breakage has not yet received extensive exploration. In order to comprehensively examine the disintegration characteristics of red-bed soft rock, the slake durability tests were conducted to red-bed soft rocks of varying burial depths. Subsequently, an investigation was carried out to examine the disintegration characteristics and the evolution of disintegration parameters, including the coefficient of uniformity (Cu), coefficient of curvature (Cc), disintegration rate (DRE), disintegration ratio (Dr), and fractal dimension (D), throughout the disintegration process. Finally, employing the energy dissipation theory, an energy dissipation model was developed to predicate the disintegration process of samples at various burial depths. The findings demonstrate a decrease in the abundance of large particles and a concurrent increase in the abundance of small particles as the number of drying-wetting cycles increases. Furthermore, as the number of drying-wetting cycles increases, a significant alteration is observed in the content of particles larger than 10 mm, whereas the content of particles smaller than 10 mm undergoes only minor changes. The disintegration parameters, including the curvature coefficient, non-uniformity coefficient, disintegration rate, and fractal dimension, exhibit a positive correlation with the number of drying-wetting cycles. Conversely, the disintegration index demonstrates a decreasing trend with the increasing number of cycles. Nevertheless, as the burial depth increases, a notable trend emerges in the disintegration process, characterized by a gradual increase in the content of large particles alongside a progressive decrease in the content of small particles. Concurrently, the curvature coefficient, non-uniformity coefficient, disintegration rate, and fractal dimension exhibit a gradual decline, while the durability index experiences a gradual increase. In addition, based on the principle of energy dissipation, it is revealed that the surface energy increment of red-bed soft rock increases with the increase of the number of drying-wetting cycles, but decreases with the increase of burial depth. Ultimately, by leveraging the outcomes of energy dissipation analyses, a theoretical model is constructed to elucidate the correlation between surface energy and both the number of drying-wetting cycles and burial depth. This model serves as a theoretical reference for predicting the disintegration behavior of samples, offering valuable insights for future research endeavors.

Abstract Background To investigate the feasibility of Diffusion Kurtosis Imaging (DKI) in assessing renal interstitial fibrosis induced by hyperuricemia. Methods A hyperuricemia rat model was established, and the rats were randomly split into the hyperuricemia (HUA), allopurinol (AP), and AP + empagliflozin (AP + EM) groups (n = 19 per group). Also, the normal rats were selected as controls (CON, n = 19). DKI was performed before treatment (baseline) and on days 1, 3, 5, 7, and 9 days after treatment. The DKI indicators, including mean kurtosis (MK), fractional anisotropy (FA), and mean diffusivity (MD) of the cortex (CO), outer stripe of the outer medulla (OS), and inner stripe of the outer medulla (IS) were acquired. Additionally, hematoxylin and eosin (H&E) staining, Masson trichrome staining, and nuclear factor kappa B (NF-κB) immunostaining were used to reveal renal histopathological changes at baseline, 1, 5, and 9 days after treatment. Results The HUA, AP, and AP + EM group MKOS and MKIS values gradually increased during this study. The HUA group exhibited the highest MK value in outer medulla. Except for the CON group, all the groups showed a decreasing trend in the FA and MD values of outer medulla. The HUA group exhibited the lowest FA and MD values. The MKOS and MKIS values were positively correlated with Masson’s trichrome staining results (r = 0.687, P

ObjectiveTo develop a fully automated method combining solid-phase extraction with ultra-high performance liquid chromatography tandem mass spectrometry for the determination of 52 types of antibiotics in drinking water. MethodsThe water samples were adjusted to pH 2 using phosphoric acid. The antibiotics in the water samples were enriched and purified through solid-phase extraction membrane. Subsequently, the samples underwent two elutions with 10 mL of 5% ammonia methanol, followed by nitrogen-assisted drying to near-dryness. Finally, the volume was adjusted to 1 mL using a 5% methanol aqueous solution for analysis purposes. Separation was achieved using an ACQUITY UPLC BEH C18 chromatographic column (2.1×100 mm, 1.7 μm). A mobile phase consisting of a gradient elution system comprising of 0.1% formic acid-water-0.1% formic acid methanol was employed for this purpose. Mass spectrometry utilized positive ion scan multiple reaction monitoring (MRM) mode. ResultsWithin the range of 0.1 – 100 μg/L, all regression equations obtained for the 52 target analytes exhibited satisfactory linear relationships. The method detection limit ranged from 0.1 to 0.6 ng/L, while the recovery rate varied between 65.1% and 133.3%. Additionally, the relative standard deviation (RSD) ranged from 3.1% to 20.5%. ConclusionThe established method is a simple, rapid, and highly accurate and precise approach for the simultaneous detection of 52 types of antibiotics in drinking water.

AbstractObjective Atrial fibrillation (AF), the most common cardiac arrhythmia, presents significant health challenges, and the intricate connection between insomnia and AF has garnered substantial attention. This cohort study aims to investigate the relationship between insomnia and AF recurrences following radiofrequency ablation.Materials and Methods Data were retrieved from an electronic database of patients who underwent radiofrequency ablation for AF. The primary endpoint was AF recurrence. We utilized a multivariable Cox model, coupled with three propensity score methods, for analysis.Results Between January 1, 2017, and June 1, 2022, 541 patients who underwent radiofrequency ablation for AF were recorded in the database. After excluding 185 patients, the final cohort comprised 356 patients. Among them, 68 were afflicted by insomnia, while 288 were not. Over a median follow-up of 755 days, one patient died, and 130 (36.5%) experienced AF recurrence. Multivariate Cox regression analysis revealed that the insomnia group had a higher risk of AF recurrence compared to the non-insomnia group (HR: 1.83, 95% CI: 1.16–2.89). Further landmark analysis showed no significant difference in AF recurrence rates during the initial 1-year follow-up. However, beyond 1 year, the insomnia group demonstrated a significantly higher AF recurrence rate. As the number of insomnia symptoms increased, the risk of AF recurrence also rose significantly, indicating a dose-response relationship.Conclusion This study establishes a significant link between insomnia and long-term AF recurrence following radiofrequency ablation. It underscores the importance of identifying and addressing insomnia in patients with AF undergoing radiofrequency ablation.

Background: Non-alcoholic fatty liver disease (NAFLD), a chronic liver condition of increasing prevalence, is closely related to various metabolic disorders. Hemoglobin, a protein that transports oxygen in red blood cells, is the focus of this study, which seeks to investigate its potential association with NAFLD. Methods: We selected 6,516 eligible adult participants from the United States using the 2017–2020 National Health and Nutrition Examination Survey database for cross-sectional analyses. We analyzed the association of hemoglobin with NAFLD using weighted logistic regression models. Results: The study performed a weighted logistic regression modeling analysis, which verified that hemoglobin levels were positively associated with NAFLD, especially in the higher hemoglobin quartile groups. Subgroup analyses revealed no significant interactions, demonstrating the robustness of the model. The analysis of mediation effects showed that Gamma-Glutamyl Transferase, Alanine Aminotransferase, and triglycerides were important mediating variables in the relationship between hemoglobin and NAFLD. Conclusion: Increased hemoglobin levels were found to be significantly and independently associated with an increased NAFLD risk. This insight is crucial for the risk assessment and early detection of NAFLD, underscoring the need for heightened vigilance in individuals with higher hemoglobin levels.

Sulfate-reducing Bacteria (SRB) corrosion is a serious threat to the safety of marine pipelines.To reveal the influence of the corrosion behavior of X60 pipeline steel in the presence of SRB cultured in seawater and mud from the East China Sea The corrosion behavior of X60 pipeline steel was studied with weight loss measurements, microstructure and membrane composition analysis, electrochemical measurements The corrosion rate in sterile seawater is 0.11 mm/y, whereas, in SRB-infested seawater, it increases by 245 % to 0.38 mm/y. In sterile sea mud, the corrosion rate is 0.15 mm/y, but in SRB-infested sea mud, it increases by 87 % to 0.28 mm/y. In the corrosive environment of seawater and mud in the East China Sea, SRB significantly accelerates the microbial corrosion of X60 pipeline steel. These findings provide theoretical guidance for further research on SRB corrosion mechanisms and corrosion control of marine pipelines.

Background: The course of organ dysfunction (OD) in Corona Virus Disease 2019 (COVID-19) patients is unknown. Herein, we analyze the temporal patterns of OD in intensive care unit-admitted COVID-19 patients. Methods: Sequential organ failure assessment scores were evaluated daily within 2 weeks of admission to determine the temporal trajectory of OD using group-based multitrajectory modeling (GBMTM). Results: A total of 392 patients were enrolled with a 28-day mortality rate of 53.6%. GBMTM identified four distinct trajectories. Group 1 (mild OD, n = 64), with a median APACHE II score of 13 (IQR 9-21), had an early resolution of OD and a low mortality rate. Group 2 (moderate OD, n = 140), with a median APACHE II score of 18 (IQR 13-22), had a 28-day mortality rate of 30.0%. Group 3 (severe OD, n = 117), with a median APACHR II score of 20 (IQR 13-27), had a deterioration trend of respiratory dysfunction and a 28-day mortality rate of 69.2%. Group 4 (extremely severe OD, n = 71), with a median APACHE II score of 20 (IQR 17-27), had a significant and sustained OD affecting all organ systems and a 28-day mortality rate of 97.2%. Conclusions: Four distinct trajectories of OD were identified, and respiratory dysfunction trajectory could predict nonpulmonary OD trajectories and patient prognosis.

Introduction: Clostridium perfringens sepsis is a rare but serious clinical syndrome that is typically triggered by gastrointestinal disorders. We present a case of bloodstream infection caused by Clostridium perfringens in a liver cancer patient after comprehensive multicourse treatment. Case presentations: The patient, a 68-year-old male, experienced nausea, decreased appetite, and abdominal distension on the 15th day after receiving comprehensive multicourse treatment and transcatheter arterial chemoembolization (TACE). During admission, he developed fever, and blood culture results confirmed the presence of Clostridium perfringens. The patient was discharged with improved symptoms. Conclusion: Our findings underscore the rarity of Clostridium perfringens sepsis. For liver cancer patients, particularly those who have undergone TACE or radiofrequency ablation and who experience post treatment fever, vigilance for Clostridium perfringens bloodstream infection is crucial. Timely diagnostic assessments and proactive treatment can significantly enhance the survival prospects of these patients.

Introduction: Chronic insomnia in adults affects the health and quality of life of patients. Chinese patent medicines (CPMs) combined with benzodiazepines/non-benzodiazepines (BZDs/N-BZDs) are used frequently in routine clinical practice. However, evidence on the efficacy and safety of these combined interventions is lacking. A multiple treatment meta-analysis (MTMA) was conducted to evaluate the comparative efficacy and safety of 16 CPMs combined with BZDs/N-BZDs for the treatment of chronic insomnia in adults. Methodology: We systematically reviewed 171 randomized controlled trials (RCTs) involving 16,874 participants (8506 in intervention groups and 8368 in control groups) from the inception of several databases to 2023. This review encompassed electronic databases, regulatory-agency websites, and international registers of published trials involving adult patients with chronic insomnia who received CPM + BZDs/N-BZDs therapies. A random-effects MTMA was undertaken using Stata/MP17, RevMan (5.3), and R. Outcome measures were the Pittsburgh Sleep Quality Index (PSQI), overall efficacy rate, as well as the incidence of dry mouth, dizziness, and somnolence. Results: Our MTMA showed that BZD/N-BZD therapy as a co-intervention for Tianmengjiaonang (TMJN) was likely to be the optimal option for improving the PSQI (surface under the cumulative sorting curve (SUCRA) = 95.00 %), whereas shensongyangxinjiaonang (SSYXJN) had the highest probability of improving overall effectiveness (SUCRA = 88.20 %). Jiaotaiwan (JTW), Bailemian (BLMJN), and Wulinjiaonang (WLJN) had the highest probability of reducing the incidence of somnolence (SUCRA = 90.00 %), dry mouth (SUCRA = 72.90 %), and dizziness (SUCRA = 84.40 %). Conclusions: All CPMs in combination with BZDs/N-BZDs were more efficacious and safer than using BZDs/N-BZDs alone in adults with chronic insomnia. SSYXJN + BZDs/N-BZDs and TMJN + BZDs/N-BZDs are likely to be optimal CPMs because they improve overall efficacy and sleep quality and reduce the risk of adverse effects. However, the effects of these interventions may vary from person to person. Hence, patients, carers, and clinicians should carefully consider the efficacy, safety, and risk–benefit profile of all active interventions for patients with insomnia based on real-world data.

Electric vehicle (EV) charging spots require frequent inspections to identify potential safety hazards, and charging piles in charging spots exhibit a significant failure rate, necessitating maintenance. The efficiency and quality of inspection-maintenance are crucial components in the operation and management of charging spots, directly affecting the operation cost, service level, and user experience. The inspection-maintenance of EV charging spots requires two different types of personnel, and the impact on customer satisfaction cannot be ignored. In addition, the large-scale charging spots have further increased the difficulty of routing. A novel routing optimization problem for large-scale inspection-maintenance of EV charging spots is proposed in this paper, considering multiple types of personnel and composite customer satisfaction. While inspections can be carried out by general personnel, maintenance requires professional engineers. Composite customer satisfaction is with respect to the waiting time for maintenance of faulty charging spots and the duration of absence of professional engineers in the working station. A bi-objective routing optimization model is proposed, minimizing the cost of arranging personnel and traveling between charging spots, and the loss of composite customer satisfaction simultaneously. Due to the large scale of the problem caused by the enormous number of charging spots, an effective multi-stage solution approach is proposed. Finally, numerical experiments, managerial insights, and a case study are provided. The purpose of this research is to help the operators to decide the routes for inspection-maintenance of EV charging spots and offer valuable guidance in balancing operational efficiency with customer satisfaction.

Abstract Objectives The timing of tracheostomy for critically ill patients on mechanical ventilation (MV) is a topic of controversy. Our objective was to determine the most suitable timing for tracheostomy in patients undergoing MV. Design Retrospective cohort study. Setting and participants One thousand eight hundred eighty-four hospitalisations received tracheostomy from January 2011 to December 2020 in a Chinese tertiary hospital. Methods Tracheostomy timing was divided into three groups: early tracheostomy (ET), intermediate tracheostomy (IMT), and late tracheostomy (LT), based on the duration from tracheal intubation to tracheostomy. We established two criteria to classify the timing of tracheostomy for data analysis: Criteria I (ET ≤ 5 days, 5 days 10 days) and Criteria II (ET ≤ 7 days, 7 days 14 days). Parameters such as length of ICU stay, length of hospital stay, and duration of MV were used to evaluate outcomes. Additionally, the outcomes were categorized as good prognosis, poor prognosis, and death based on the manner of hospital discharge. Student’s t-test, analysis of variance (ANOVA), Mann–Whitney U test, Kruskal–Wallis test, Chi-square test, and Fisher’s exact test were employed as appropriate to assess differences in demographic data and individual characteristics among the ET, IMT, and LT groups. Univariate Cox regression model and multivariable Cox proportional hazards regression model were utilized to determine whether delaying tracheostomy would increase the risk of death. Results In both of two criterion, patients with delayed tracheostomies had longer hospital stays (p

The effective disposal of healthcare waste is a highly concerned issue. Healthcare waste collection poses transport risks and temporary storing risks, and the deliberation undertaken by decision-makers concerning waste collection entails potential scenario wherein some hospitals have not yet submitted their service requests and may submit their requests during the healthcare waste collection procedure. A routing optimisation problem for healthcare waste collection with temporary storing risks and sequential uncertain service requests is introduced. A two-stage decision-making is proposed and mathematical models corresponding to each stage are developed. Different solution algorithms are developed for different stages or different scales of instances, including the improved $\varepsilon $ -constraint method and Non-dominated Sorting Genetic Algorithm-II for the solution procedure in Stage 1, and the Compare-choose-move algorithm for the solution procedure in Stage 2. Finally, the models and algorithms are tested by numerical instances and several suggestions for healthcare waste collection have been proposed based on sensitivity analysis.

Abstract Purpose Colorectal cancer (CRC) screening has been implemented in Tianjin, China since 2012. The objective was to estimate the neoplasia detection rate in a high-risk population by age and sex and to investigate the potential factors associated with colorectal neoplasia. Patients and methods This study is based on data of the Tianjin CRC screening program from 2012 to 2020. Residents with a positive high-risk factors questionnaire (HRFQ) or a positive faecal immunochemical test (FIT) were identified as high-risk participants and were subsequently recommended for a free colonoscopy. Results A total of 4,117,897 eligible participants aged 40–74 years completed both a HRFQ and FIT, and 217,164 (5.3%) of them were identified as high-risk participants. Positive rates of preliminary screening increased with age and were higher in females than in males. For 57,971 participants undertaking colonoscopy, the detection rates of nonadvanced adenoma, advanced adenoma and CRC were 37.8%, 5.7% and 1.6%, respectively. Detection rates of advanced neoplasia increased from the age of 50 and were higher in males. For nonadvanced neoplasia, a strong increase was observed in males from the age of 40 and in females from the age of 50. Male sex had a greater impact on individuals aged 40–49 than on older individuals. Several factors including current smoking, drinking, and higher body mass index (BMI) were significantly associated with the presence of neoplasia, whereas, these associations were mainly restricted to individuals aged above 50 but not those aged 40–49 years. Conclusions These findings support that age-specific risk stratification and sex-specific initiating ages for CRC screening should be recommended to improve the accuracy and effectiveness of current screening strategy.

AbstractIntroduction There is a dearth of comprehensive studies on the association between serum electrolyte and adverse short-term prognosis of Chinese patients with acute decompensated heart failure (ADHF).Patients and methods A total of 5166 patients with ADHF were divided into four serum electrolyte-related study populations (potassium (n = 5145), sodium (n = 5135), chloride (n = 4966), serum total calcium (STC) (n = 4143)) under corresponding exclusions. Different logistic regression models were utilized to gauge the association between these electrolytes or the number of electrolyte abnormalities and the risk of a composite of all-cause mortality or 30-day heart failure (HF) readmission.Results In multivariable adjusted analysis, patients with potassium below 3.5 mmol/L (odds ratios (ORs) 1.45; 95% confidence interval (CI):1.07–1.95), 4.01–4.50 mmol/L (OR: 1.29, CI: 1.02–1.62), 4.51–5.00 mmol/L (OR: 1.43, CI: 1.08–1.90) and above 5.00 mmol/L (OR: 1.74, CI: 1.21–2.51) had an increased risk of outcome when compared with potassium at 3.50–4.00 mmol/L. Sodium levels were inversely related to the risk of a composite outcome (

Aptamer-based biosensors have been widely constructed and applied to detect diverse targets. Glutathione S-transferase (GST), a pivotal phase II metabolic enzyme, plays a critical role in biotransformation in vivo, and aberrant GST expression is associated with various health risks. Herein, aptamers targeting GST were systematically selected from a randomized single-stranded DNA (ssDNA) library of 79 nucleotides (nt) using a biotinylated GST-immobilized streptavidin agarose (SA) bead SELEX technology. Following rigorous screening across eight rounds, four aptamers with strikingly similar secondary structures emerged. Among these, Seq3 exhibited the highest affinity towards GST and was selected for further optimization. A semi-rational post-SELEX truncation strategy was then employed based on base composition analysis, secondary structure analysis and affinity assessment. This strategy enabled the systematic removal of redundant nucleotides in Seq3 without compromising its affinity, ultimately yielding a truncated aptamer, Seq3-3, which retains its specificity with a compact 39nt length. Building upon Seq3-3, a double-stranded fluorescent aptamer probe was ingeniously designed for the in vitro detection of GST. The detection mechanism hinges on the competitive displacement of the complementary chain from the probe, mediated by the target protein, leading to the separation of the antisense oligonucleotide from the double-stranded complex. This process triggers the restoration of the fluorescence signal, enabling sensitive detection, and the probe exhibits excellent response within a linear range of GST activity ranging from 0 to 1500 U/L. The results show that not only an efficient strategy for screening robust and practicable aptamers but also an ultrahighly sensitive detection platform for GST was established.

Many developing countries have experienced or are experiencing periods of rapid urbanization, and the sustainable development of resource-based cities has increasingly come under the spotlight. The extensive mining of resources, which once propelled the economic growth of these cities, has enabled the continuous construction of more urban districts. However, as these new districts become favored, the old districts in these cities tend to be overlooked. This neglect becomes particularly pronounced once the resources start to dwindle, with older districts, which lack contemporary facilities, declining over time. Dongsheng District, in China’s Ordos City, is a prime example of this phenomenon. In this study, we took Dongsheng District as the research subject to explore the urban renewal potential of old urban areas in resource-based cities in developing countries. First, we constructed an assessment system for evaluating the urban renewal potential of old urban areas in resource-based cities in developing countries. Using ArcGIS, we conducted a quantitative evaluation of the spatial distribution of urban renewal potential indicators in the assessment system. Second, we conducted a comparative analysis by juxtaposing the spatial distribution of urban renewal potential derived from the assessment system with the current land use and historical development of the study area to explore potential correlations. Third, we propose the distribution of urban renewal potential in old urban areas of resource-based cities in developing countries by discussing the research results. The research found that in relation to current land use, residential and commercial service areas are more likely to form high-potential plots. Urban villages are often considered to have high potential for urban renewal, but in these urban areas, they do not always exhibit significant urban renewal potential. Regarding the relationship with historical development, urban renewal potential generally shows a negative correlation with historical development, and most other specific indicators of urban renewal also show a correlation with historical development.

Objective Sulfate-reducing bacteria (SRB) pose a threat to the safe operation of shale-gas-gathering pipelines. Therefore, it is essential to explore the role played by SRB in dedicated pipelines. Methods In this work, the corrosion behavior of SRB was investigated by organic carbon starvation immersion experiments combined with cell number monitoring, corrosion weight loss recordings, morphology and profile observations and electrochemical measurements. Results In experiments with sodium lactate content ranging from 0–3500 ppm, the corrosion rate and pitting depth were the highest at 350 ppm. Conclusions The results indicated that the reduction in carbon sources leads to bacterial starvation, which directly obtains electrons from metals and exacerbates corrosion. It is not appropriate to use the content of bacteria to determine the strength of bacterial corrosion.

This study employs the two-dimensional Legendre polynomial fitting (2-D LPF) method to fit M2 tidal harmonic constants from satellite altimetry data within the region of 53°E–131°E, 34°S–6°N, extracting internal tide signals acting on the sea surface. The M2 tidal harmonic constants are derived from the sea surface height (SSH) data of the TOPEX/Poseidon (T/P), Jason-1, Jason-2, and Jason-3 satellites via t-tide analysis. We validate the 2-D LPF method against the 300 km moving average (300 km smooth) method and the one-dimensional Legendre polynomial fitting (1-D LPF) method. Through cross-validation across 42 orbits, the optimal polynomial orders are determined to be seven for 1-D LPF, and eight and seven for the longitudinal and latitudinal directions in 2-D LPF, respectively. The 2-D LPF method demonstrated superior spatial continuity and smoothness of internal tide signals. Further single-orbit correlation analysis confirmed generally higher correlation with topographic and density perturbations (correlation coefficients: 0.502, 0.620, 0.245; 0.420, 0.273, −0.101), underscoring its accuracy. Overall, the 2-D LPF method can use all regional data points, overcoming the limitations of single-orbit approaches and proving its effectiveness in extracting internal tide signals acting on the sea surface.

Nowadays, the microgrid system is characterized by a diversification of power factors and a complex network structure. Existing studies on microgrid fault diagnosis and troubleshooting mostly focus on the fault detection and operation optimization of a single power device. However, for increasingly complex microgrid systems, it becomes increasingly challenging to effectively contain faults within a specific spatiotemporal range. This can lead to the spread of power faults, posing great harm to the safety of the microgrid. The topology optimization of the microgrid based on deep reinforcement learning proposed in this paper starts from the overall power grid and aims to minimize the overall failure rate of the microgrid by optimizing the topology of the power grid. This approach can limit internal faults within a small range, greatly improving the safety and reliability of microgrid operation. The method proposed in this paper can optimize the network topology for the single node fault and multi-node fault, reducing the influence range of the node fault by 21% and 58%, respectively.

The development of pitting corrosion on L245 carbon steel in a culture medium solution containing sulfate-reducing bacteria (SRB) was investigated. The results showed that the occurrence of corrosion in L245 carbon steel is closely linked to the evolution of biofilm and product film. As the test duration extended, overall corrosion was inhibited. Simultaneously, bacteria beneath the film layer promoted the generation and development of pitting corrosion, and the aggregation of bacteria (colonies) led to the aggregation of pitting corrosion.

Objectives: The positive effects of tea on Alzheimer's disease (AD) have increasingly captured researchers' attention. Nevertheless, the quantitative comprehensive analysis in the relevant literatur is lack. This paper aims to thoroughly examine the current research status and hotspots from 2014 to 2023, providing a valuable reference for subsequent research. Methods: Documents spanning from 2014 to 2023 were searched from the Web of Science, and the R software, VOSviewer, and Citespace software were used for analysis and visualization. Results: A total of 374 documents were contained in the study. The rate of article publications exhibited a consistent increase each year from 2014 to 2023. Notably, China emerged as the leading country in terms of published articles, followed by the United States and India. Simultaneously, China is also in a leading position in cooperation with other countries. Molecules emerged as the most frequently published journal, while the Journal of Alzheimer's Disease secured the top spot in terms of citations. The identified main keywords included oxidative stress, amyloid, epigallocatechin gallate, and green tea polyphenol, among others. These focal areas delved into the antioxidative and anti-amyloid aggregation actions of tea's polyphenolic components. Furthermore, the particularly way in which epigallocatechin gallate delivers neuroprotective outcomes by influencing molecules related to AD represents a focal point of research. Conclusion: The increasing attention from researchers on the role of tea in ameliorating AD positions it as a hot spot in the development of anti-AD drugs in the development of future. Through our generalized analysis of the current landscape and hotspots regarding tea's application in AD, this study provides an estimable reference for future research endeavors.

BackgroundAcute Respiratory Distress Syndrome (ARDS) or its earlier stage Acute lung injury (ALI), is a worldwide health concern that jeopardizes human well-being. Currently, the treatment strategies to mitigate the incidence and mortality of ARDS are severely restricted. This limitation can be attributed, at least in part, to the substantial variations in immunity observed in individuals with this syndrome.MethodsBulk and single cell RNA sequencing from ALI mice and single cell RNA sequencing from ARDS patients were analyzed. We utilized the Seurat program package in R and cellmarker 2.0 to cluster and annotate the data. The differential, enrichment, protein interaction, and cell-cell communication analysis were conducted.ResultsThe mice with ALI caused by pulmonary and extrapulmonary factors demonstrated differential expression including Clec4e, Retnlg, S100a9, Coro1a, and Lars2. We have determined that inflammatory factors have a greater significance in extrapulmonary ALI, while multiple pathways collaborate in the development of pulmonary ALI. Clustering analysis revealed significant heterogeneity in the relative abundance of immune cells in different ALI models. The autocrine action of neutrophils plays a crucial role in pulmonary ALI. Additionally, there was a significant increase in signaling intensity between B cells and M1 macrophages, NKT cells and M1 macrophages in extrapulmonary ALI. The CXCL, CSF3 and MIF, TGFβ signaling pathways play a vital role in pulmonary and extrapulmonary ALI, respectively. Moreover, the analysis of human single-cell revealed DCs signaling to monocytes and neutrophils in COVID-19-associated ARDS is stronger compared to sepsis-related ARDS. In sepsis-related ARDS, CD8+ T and Th cells exhibit more prominent signaling to B-cell nucleated DCs. Meanwhile, both MIF and CXCL signaling pathways are specific to sepsis-related ARDS.ConclusionThis study has identified specific gene signatures and signaling pathways in animal models and human samples that facilitate the interaction between immune cells, which could be targeted therapeutically in ARDS patients of various etiologies.

Mesoscale eddies can significantly influence the surface and deep layers of the ocean, leading to diverse outcomes. Particularly, high-amplitude mesoscale eddies possess vertical structures that can reach thousands of meters, carrying greater kinetic energy. Accurately detecting such eddies is crucial for various applications, ranging from promoting marine economic development to ensuring navigational safety. This study presents a cutting-edge algorithm for mesoscale eddy identification, leveraging multi-task learning and multi-source data. Initially, we investigated the impacts of mesoscale eddies of different amplitudes on their surrounding environments. Following this, we compiled a multi-source dataset of mesoscale eddies in the South China Sea by leveraging the diverse attributes presented by eddies in various surface layers of the sea. Our approach involves extracting multiple features of mesoscale eddies from multi-source data and fusing them, along with designing a mix residual module to enhance feature extraction capabilities. Finally, we propose a novel method based on multi-task learning, which concurrently learns the segmentation and contour of mesoscale eddies. This is supported by an optimized loss function for simultaneous learning. Strict validation of mesoscale eddy detection in the South China Sea region demonstrates the effectiveness of the proposed method. The empirical results emphasize the algorithm’s capabilities in mitigating contour loss (a common challenge in deep network architectures), improving detection accuracy, and efficiently generating results for eddy contour and categorical segmentation tasks.

PurposeThis study aimed to explore the clinical characteristics of male breast cancer (MBC) patients and the factors influencing their prognosis.MethodsWe conducted a retrospective case series analysis of 117 MBC cases who were treated at Zhejiang Cancer Hospital from 2009 to 2022. Cox proportional hazard model was used to identify prognostic factors of MBC. Nomogram was constructed based on these factors, which was further evaluated by C-index and calibration curves.ResultsA total of 115 MBC cases were finally included in our analyses, with median diagnosis age of 59 years. Of these cases, 80.0% were estrogen receptor (ER) positive, 79.2% were progesterone receptor (PR) positive, 48.7% were human epidermal growth factor receptor 2 (HER2) negative, and 42.6% had Ki67 levels higher than 15%. 108 (93.9%) cases underwent radical mastectomy, while only 3 (2.6%) received breast-conserving surgery. The Logrank test suggested that lymphocyte-to-monocyte ratio (LMR) was negatively associated with both overall survival (OS) and disease-free survival (DFS) of MBC, while platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) were only positively associated with OS (all P-values < 0.05). Multivariate regression analysis showed that age (HR 1.08, 95% CI 1.03-1.13) was significant prognostic factors for OS. Meanwhile, age (HR 1.06, 95% CI 1.02-1.10), histological differentiation grade (poorly differentiated/undifferentiated vs. well-differentiated: HR 2.55, 95% CI 1.05-6.17), and TNM stage (IV vs. I: HR 31.59, 95% CI 6.01-165.93) were also significant prognostic factors for DFS. Nomograms were developed for DFS, with C-indexes of 0.782, indicating good predictive performance.ConclusionIncreased age, bigger tumor size, higher TNM stage, and lower histological differentiation grade were associated with poor MBC prognosis, and LMR, PLR, and NLR might be potential predictors for MBC prognosis.

Abstract Background Human pluripotent stem cell (hPSC)-derived hepatocyte-like cells (HLCs) can provide a valuable in vitro model for disease modelling and drug development. However, generating HLCs with characteristics comparable to hepatocytes in vivo is challenging. Extracellular matrix (ECM) plays an important role in supporting liver development and hepatocyte functions, but their impact on hepatocyte differentiation and maturation during hPSC differentiation remains unclear. Here, we investigate the effects of two ECM components—Matrigel and type I collagen on hepatic differentiation of human embryonic stem cells (hESCs). Methods hESC-derived HLCs were generated through multistage differentiation in two-dimensional (2D) and three-dimensional (3D) cultures, incorporating either type I collagen or Matrigel during hepatic specification and maturation. The resulting HLCs was characterized for their gene expression and functionality using various molecular and cellular techniques. Results Our results showed that HLCs cultured with collagen exhibited a significant increase in albumin and alpha-1 anti-trypsin expression with reduced AFP compared to HLCs cultured with Matrigel. They also secreted more urea than Matrigel cultures. However, these HLCs exhibited lower CYP3A4 activity and glycogen storage than those cultured with Matrigel. These functional differences in HLCs between collagen and Matrigel cultures closely resembled the hepatocytes of periportal and pericentral zones, respectively. Conclusion Our study demonstrates that Matrigel and collagen have differential effects on the differentiation and functionality of HLCs, which resemble, to an extent, hepatic zonation in the liver lobules. Our finding has an important impact on the generation of hPSC-HLCs for biomedical and medical applications.

Abstract In this work we study particular TQFTs in three dimensions, known as Symmetry Topological Field Theories (or SymTFTs), to identify line defects of two-dimensional CFTs arising from the compactification of 6d (2, 0) SCFTs on 4-manifolds M 4. The mapping class group of M 4 and the automorphism group of the SymTFT switch between different absolute 2d theories or global variants. Using the combined symmetries, we realize the topological defects in these global variants. Our main example is ℙ1 × ℙ1. For N M5-branes the corresponding 2d theory inherits ℤ N 0-form symmetries from the SymTFT. We reproduce the orbifold groupoid for theories with ℤ N 0-form symmetries and realize the duality defects at fixed points of the coupling constant under elements of the mapping class group. We also study other Hirzebruch surfaces, del Pezzo surfaces, as well as the connected sum of ℙ1 × ℙ1. We find a rich network of global variants connected via automorphisms and realize more interesting topological defects. Finally, we derive the SymTFT on more general 4-manifolds and provide two examples.

Abstract Objectives This study aims to develop a model based on intratumoral and peritumoral radiomics from fat-suppressed T2-weighted(FS-T2WI) images to predict the histopathological grade of soft tissue sarcoma (STS). Methods This retrospective study included 160 patients with STS from two centers, of which 82 were low-grade and 78were high-grade. Radiomics features were extracted and selected from the region of tumor mass volume (TMV) and peritumoral tumor volume (PTV) respectively. The TMV, PTV, and combined(TM-PTV) radiomics models were established in the training cohort (n = 111)for the prediction of histopathological grade. Finally, a radiomics nomogram was constructed by combining the TM-PTV radiomics signature (Rad-score) and the selected clinical-MRI predictor. The ROC and calibration curves were used to determine the performance of the TMV, PTV, and TM-PTV models in the training and validation cohort (n = 49). The decision curve analysis (DCA) and calibration curves were used to investigate the clinical usefulness and calibration of the nomogram, respectively. Results The TMV model, PTV model, and TM-PTV model had AUCs of 0.835, 0.879, and 0.917 in the training cohort and 0.811, 0.756, 0.896 in the validation cohort. The nomogram, including the TM-PTV signatures and peritumoral hyperintensity, achieved good calibration and discrimination with a C-index of 0.948 (95% CI, 0.906 to 0.990) in the training cohort and 0.921 (95% CI, 0.840 to 0.995) in the validation cohort. Decision curve analysis demonstrated the clinical usefulness of the nomogram. Conclusion The proposed model based on intratumoral and peritumoral radiomics showed good performance in distinguishing low-grade from high-grade STSs.

Abstract Objective To investigate the incidence of falls in elderly aged 65 years and above among outpatients and inpatients, and to analyze its related factors and identify prevention strategies. Methods A retrospective analysis was conducted on 451 patients aged 65 years and above who received comprehensive geriatric assessment in outpatients and inpatients from the Department of Geriatrics in the Second Xiangya Hospital from March 2021 to March 2022. According to whether there had been at least one fall in the past year, the patients were divided into a fall group and a non‐fall group. Data were collected from the We‐Chat applet of comprehensive geriatric assessment. A t test and chi‐square test were performed to compare the difference between the two groups. Logistic regression analysis was then conducted to identify factors associated with falls. Results (1) The incidence of falls among the outpatient and inpatient was 28.8%. (2) The rate of light, moderate, and heavy dependence on daily living ability and decreased mobile balance ability were higher in the fall group than those in the non‐fall group. The average calf circumference in the fall group was significantly lower than that in the non‐fall group. (3) The prevalence of diabetes and eye diseases in the fall group was significantly higher than that in the non‐fall group. (4) The percentage of insomnia and suspicious insomnia cases in the fall group was higher than that in the non‐fall group. The mean scores for dysphagia, frailty, and incontinence were higher and the mean malnutrition score was lower in the fall group than in the non‐fall group. (5) Multiple logistic regression analysis showed that frailty, insomnia, and malnutrition were independent influencing factors of fall (OR = 1.955, 1.652, 10.719, P = 0.044, 0.041, 0.025, respectively). Conclusions The incidence of falls among outpatients and inpatients aged 65 years and above is high. Frailty, insomnia, and malnutrition are the main factors influencing falls in these patients.

Abstract Along with the continuous breakthroughs and innovations in blockchain technology, various blockchain application scenarios are emerging, such as healthcare, e‐voting, and Internet of Things. However, in general, these applications need to be supported by blockchain systems with different characteristics. Different blockchain systems have significant differences in architecture, security, efficiency, and so on, which makes the exchange of information between applications have certain barriers. Therefore, the research of blockchain cross‐chain technology brings hope for breaking the information barriers between blockchain systems. This paper describes the basic principles and latest research of three mainstream cross‐chain technologies; then analyzes three innovative cross‐chain solutions of cross‐chain routing, smart contracts, and multi‐chain consensus; furthermore, discusses the application and security risks of cross‐chain technologies, and finally summarizes and outlooks on cross‐chain technologies.

The minimum error entropy (MEE) criterion finds extensive utility across diverse applications, particularly in contexts characterized by non-Gaussian noise. However, its computational demands are notable, and are primarily attributable to the double summation operation involved in calculating the probability density function (PDF) of the error. To address this, our study introduces a novel approach, termed the fast minimum error entropy (FMEE) algorithm, aimed at mitigating computational complexity through the utilization of polynomial expansions of the error PDF. Initially, the PDF approximation of a random variable is derived via the Gram–Charlier expansion. Subsequently, we proceed to ascertain and streamline the entropy of the random variable. Following this, the error entropy inherent to the linear regression model is delineated and expressed as a function of the regression coefficient vector. Lastly, leveraging the gradient descent algorithm, we compute the regression coefficient vector corresponding to the minimum error entropy. Theoretical scrutiny reveals that the time complexity of FMEE stands at O(n), in stark contrast to the O(n2) complexity associated with MEE. Experimentally, our findings underscore the remarkable efficiency gains afforded by FMEE, with time consumption registering less than 1‰ of that observed with MEE. Encouragingly, this efficiency leap is achieved without compromising accuracy, as evidenced by negligible differentials observed between the accuracies of FMEE and MEE. Furthermore, comprehensive regression experiments on real-world electric datasets in northwest China demonstrate that our FMEE outperforms baseline methods by a clear margin.