Effect of propranolol on pharmacokinetics of clozapine in schizophrenic patients: a meta-analysis.

PURPOSE: Clozapine is the effective therapy for treatment-refractory schizophrenia. However, the use of clozapine is limited by its adverse effects. As propranolol is frequently used for the prevention and treatment of clozapine-induced tachycardia, we performed a meta-analysis to evaluate the effects of propranolol on steady state pharmacokinetics of clozapine in schizophrenic patients. METHODS: We included 16 retrospective studies on the effects of propranolol on steady state pharmacokinetics of clozapine in schizophrenic patients, with data from both generic and brand name treatment phases in eight clozapine bioequivalence studies conducted in a single center in China from 2018 to 2022. Review Manager 5.4 was used for meta-analysis of the included studies. RESULTS: The SMDs with 95% CIs of AUC0-12, Cmax,ss, C, and C were calculated to be 0.44 (0.23, 0.64), 0.40 (0.20, 0.61), 0.43 (0.22, 0.63), and 0.44 (0.23, 0.64), respectively. These findings proved that combination with propranolol would increase the systemic exposure of clozapine. T1/2 of clozapine was significantly longer in the presence of propranolol than in the absence of propranolol (SMD = 0.32, 95% CI [0.12, 0.52], p = 0.002). There was no statistically significant difference for T of clozapine in the presence or absence of propranolol (SMD = - 0.05, 95% CI [- 0.25, 0.15], p = 0.63). CONCLUSION: The combination with propranolol could significantly increase systemic exposure and extended T1/2 of clozapine, and thus need to be considered in prescribing decisions.

Antarctic Snow Failure Mechanics: Analysis, Simulations, and Applications.

Snow failure is the process by which the stability of snow or snow-covered slopes is destroyed, resulting in the collapse or release of snow. Heavy snowfall, low temperatures, and volatile weather typically cause consequences in Antarctica, which can occur at different scales, from small, localized collapses to massive avalanches, and result in significant risk to human activities and infrastructures. Understanding snow damage is critical to assessing potential hazards associated with snow-covered terrain and implementing effective risk mitigation strategies. This review discusses the theoretical models and numerical simulation methods commonly used in Antarctic snow failure research. We focus on the various theoretical models proposed in the literature, including the fiber bundle model (FBM), discrete element model (DEM), cellular automata (CA) model, and continuous cavity-expansion penetration (CCEP) model. In addition, we overview some methods to acquire the three-dimensional solid models and the related advantages and disadvantages. Then, we discuss some critical numerical techniques used to simulate the snow failure process, such as the finite element method (FEM) and three-dimensional (3D) material point method (MPM), highlighting their features in capturing the complex behavior of snow failure. Eventually, different case studies and the experimental validation of these models and simulation methods in the context of Antarctic snow failure are presented, as well as the application of snow failure research to facility construction. This review provides a comprehensive analysis of snow properties, essential numerical simulation methods, and related applications to enhance our understanding of Antarctic snow failure, which offer valuable resources for designing and managing potential infrastructure in Antarctica.

CEUS in prediction of early recurrence of hepatocellular carcinoma after curative resection and to stratify the risk of early recurrence: a retrospective observational study.

PURPOSE: Early recurrence (ER) after surgery is related to early death in patients with hepatocellular carcinoma (HCC) after radical resection. To explore the role of preoperative contrast-enhanced ultrasound (CEUS) in predicting ER of HCC after curative resection and to stratify the risk of ER. MATERIALS AND METHODS: This study evaluated consecutive 556 patients with HCC who were examined by CEUS during the 2 weeks before curative resection between January 2011 and December 2018. ER was defined as intrahepatic and/or extrahepatic recurrence within 2 year after resection of HCC. Univariate and logistic regression analyses were performed to identify independent risk factors for ER after surgical resection of HCC. Recurrence-free time (RFS) rates were analyzed and compared by log-rank test. RESULTS: ER occurred in 307 (55.2%) of the 556 patients. Univariate and multivariate analyses revealed that a tumor size ≥ 30 mm and satellite nodules seen on CEUS, DL(deep learning) radiomics reoccurrence score based on the frame of image with the maximum intensity of CEUS and an elevated alpha-fetoprotein level were significantly associated with ER (P < .05). Based on the number of predictors present, patients with CEUS LR-5 HCC were stratified into three risk subgroups: risk group 3 (high-risk patients, 4 predictors), risk group 2 (medium-risk patients, 2-3 predictors), and risk group 1 (low-risk patients, 0-1 predictor). The 2-year RFS rate was 19.4% in risk group 3, 40.9% in risk group 2, and 48.1% in risk group 1; the corresponding mean RFS times were 14.0 ± 2.9 months, 43.7 ± 6.6 months, and 55.5 ± 2.8 months, respectively (P < .001). CONCLUSIONS: Tumor size ≥ 30 mm and satellite nodules seen on CEUS, DL radiomics reoccurrence score based on the frame of image with the maximum intensity of CEUS and an elevated alpha-fetoprotein level can predict ER of HCC.

YOLOX-DG robotic detection systems for large-scale underwater concrete structures.

Large-scale complex underwater concrete structures have structural damage and the traditional damage detection method mostly uses manual identification, which is inaccurate and inefficient. Therefore, robotic detection systems have been proposed to replace manual identification for underwater concrete structures in ocean engineering. However, the highly corrosive and disruptive environment of the ocean poses great difficulties for the application. Here, we develop a manta ray-inspired underwater robot with well controllability to establish the damage datasets of underwater concrete structures, proposing the YOLOX-DG algorithm to improve the damage detection accuracy, and integrating the model into the robotic detection systems for underwater concrete damages. Eventually, the system is used for ocean testing in real applications (i.e., underwater marine harbors around the East China Sea), and satisfactory detection performance is obtained. The reported manta ray-inspired robotic detection system can be used to accurately monitor and analyze the underwater regions.

Liver resection versus microwave ablation for solitary and small (≤ 3 cm) HCC with early recurrence in different stages of liver cirrhosis: A propensity score matching study.

BACKGROUND: This study aimed to compare the effectiveness of liver resection (LR) and microwave ablation (MWA) in hepatocellular carcinoma (HCC) patients with early recurrence and varying stages of cirrhosis. METHOD: This study analyzed patients with HCC who underwent hepatectomy and experienced early tumor recurrence (≤3 cm) between December 2002 and December 2020 at the Tongji Hospital. Treatment effectiveness was assessed using a propensity score matching (PSM) analysis. RESULTS: This study included 295 patients (106, LR; 189, MWA), 86 patients in each of the 2 groups were chosen for further comparison, after PSM. After PSM, both LR and MWA demonstrated similar recurrence-free survival (RFS) and overall survival (OS) rates (p = 0.060 and p = 0.118, respectively). However, the LR group had more treatment-related complications. In patients with moderate or severe cirrhosis, no significant differences in RFS or OS rates were found between the LR and MWA groups (p = 0.779 and p = 0.772, respectively). In patients without cirrhosis or with mild cirrhosis, LR showed better RFS and OS rates than MWA (p = 0.024 and p = 0.047, respectively). Multivariate analysis after PSM identified moderate or severe cirrhosis and recurrence intervals ≤12 months as independent predictors of poor RFS and OS in patients with early recurrence of HCC. CONCLUSION: LR is more effective than MWA for early recurrence of HCC in patients without cirrhosis or with mild cirrhosis, showing improved RFS and OS rates. In patients with moderate or severe cirrhosis, the OS and RFS were statistically equal between the two therapies. However, MWA may be preferred owing to its low complication rate.

Portal vein velocity predicts portal vein system thrombosis after splenectomy with esophagogastric devascularization.

BACKGROUND: Portal vein system thrombosis (PVST) is a potentially fatal complication after splenectomy with esophagogastric devascularization (SED) in cirrhotic patients with portal hypertension. However, the impact of portal vein velocity (PVV) on PVST after SED remains unclear. Therefore, this study aims to explore this issue. METHODS: Consecutive cirrhotic patients with portal hypertension who underwent SED at Tongji Hospital between January 2010 and June 2022 were enrolled. The patients were divided into two groups based on the presence or absence of PVST, which was assessed using ultrasound or computed tomography after the operation. PVV was measured by duplex Doppler ultrasound within one week before surgery. The independent risk factors for PVST were analyzed using univariate and multivariate logistic regression analysis. A nomogram based on these variables was developed and internally validated using 1000 bootstrap resamples. RESULTS: A total of 562 cirrhotic patients with portal hypertension who underwent SED were included, and PVST occurred in 185 patients (32.9%). Multivariate logistic regression analysis showed that PVV was the strongest independent risk factor for PVST. The incidence of PVST was significantly higher in patients with PVV ≤ 16.5 cm/s than in those with PVV > 16.5 cm/s (76.2% vs. 8.5%, p < 0.0001). The PVV-based nomogram was internally validated and showed good performance (optimism-corrected c-statistic = 0.907). Decision curve and clinical impact curve analyses indicated that the nomogram provided a high clinical benefit. CONCLUSION: A nomogram based on PVV provided an excellent preoperative prediction of PVST after splenectomy with esophagogastric devascularization.

Pharmacokinetics and bioequivalence of two metoprolol succinate extended release tablets in healthy Chinese subjects under fasting and fed conditions.

AIMS: The aims of this study were to evaluate and compare the pharmacokinetic profiles and establish bioequivalence of test and reference metoprolol succinate extended-release (ER) tablets in healthy Chinese subjects under fasting and fed conditions. MATERIALS AND METHODS: Subjects were randomly assigned to either the fasting or the fed group and also to one of the two treatment sequences (test-reference or reference-test), according to which they received a single 47.5-mg dose of the test or reference metoprolol ER tablet in the study periods. During each period, blood samples were collected at pre-dose and at intervals up to 48 hours after dosing. Plasma concentrations of metoprolol were determined by liquid chromatography. The safety of both ER tablets was monitored throughout the study. RESULTS: 60 subjects were enrolled and all completed the study, with 30 participants each in the fasting and fed groups. In both groups, the 90% confidence intervals for AUC0-48h, AUC0-inf, and Cmax were within the acceptable bioequivalence range (80 - 125%). There were no significant differences in adverse event (AE) reporting between the subjects receiving test or reference ER tablet. No serious AEs occurred during the study period. CONCLUSION: The test metoprolol ER tablet was bioequivalent to the reference metoprolol ER tablet (Betaloc ZOK) in healthy Chinese subjects measured under both fasting and fed conditions. Both formulations were well tolerated by all study participants.

Study on Acoustic Emission Characteristics of Fatigue Damage of A7N01 Aluminum Alloy for High-Speed Trains.

Online monitoring of the fatigue damage process of A7N01 aluminum alloy base metal and weld seam was conducted based on acoustic emission (AE) and digital microscopic imaging technology. The AE signals were recorded during the fatigue tests and analyzed using the AE characteristic parameter method. Fatigue fracture was observed using scanning electron microscopy (SEM) to analyze the source mechanism of AE. The AE results show that the AE count and rise time can effectively predict the initiation of fatigue microcracks in A7N01 aluminum alloy. The digital image monitoring results of a notch tip verified the prediction of fatigue microcracks using the AE characteristic parameters. In addition, the AE characteristics of the A7N01 aluminum alloy under different fatigue parameters were studied, and the relationships between the AE characteristic values of the base metal and weld seam and the crack propagation rate were calculated using the seven-point recurrence polynomial method. These provide a basis for predicting the remaining fatigue damage in the A7N01 aluminum alloy. The present work indicates that AE technology can be used to monitor the fatigue damage evolution of welded aluminum alloy structures.

Postoperative adjuvant tyrosine kinase inhibitors combined with anti-PD-1 antibodies improves surgical outcomes for hepatocellular carcinoma with high-risk recurrent factors.

Background: The clinical value of postoperative adjuvant therapy (PAT) for hepatocellular carcinoma (HCC) remains unclear. This study aimed to explore the effect of PAT with tyrosine kinase inhibitors (TKIs) and anti-PD-1 antibodies on the surgical outcomes of HCC patients with high-risk recurrent factors (HRRFs). Methods: HCC patients who underwent radical hepatectomy at Tongji Hospital between January 2019 and December 2021 were retrospectively enrolled, and those with HRRFs were divided into PAT group and non-PAT group. Recurrence-free survival (RFS) and overall survival (OS) were compared between the two groups after propensity score matching (PSM). Prognostic factors associated with RFS and OS were determined by Cox regression analysis, and subgroup analysis was also conducted. Results: A total of 250 HCC patients were enrolled, and 47 pairs of patients with HRRFs in the PAT and non-PAT groups were matched through PSM. After PSM, the 1- and 2-year RFS rates in the two groups were 82.1% vs. 40.0% (P < 0.001) and 54.2% vs. 25.1% (P = 0.012), respectively. The corresponding 1- and 2-year OS rates were 95.4% vs. 69.8% (P = 0.001) and 84.3% vs. 55.5% (P = 0.014), respectively. Multivariable analyses indicated that PAT was an independent factor related to improving RFS and OS. Subgroup analysis demonstrated that HCC patients with tumor diameter > 5 cm, satellite nodules, or vascular invasion could significantly benefit from PAT in RFS and OS. Common grade 1-3 toxicities, such as pruritus (44.7%), hypertension (42.6%), dermatitis (34.0%), and proteinuria (31.9%) were observed, and no grade 4/5 toxicities or serious adverse events occurred in patients receiving PAT. Conclusions: PAT with TKIs and anti-PD-1 antibodies could improve surgical outcomes for HCC patients with HRRFs.

First-in-human phase I studies of YJ001 spray applied to local skin in healthy subjects and patients with diabetic neuropathic pain.

BACKGROUND: The study aimed to investigate the safety, pharmacokinetics (PK), and efficacy of YJ001 spray, a candidate drug for diabetic neuropathic pain (DNP) therapy. RESEARCH DESIGN & METHODS: Forty-two healthy subjects received one of four single doses (240, 480, 720, 960 mg) of YJ001 spray or placebo, and 20 patients with DNP received repeated doses (240 and 480 mg) of YJ001 spray or placebo via topical route of administration to the local skin of both feet. Safety, and efficacy assessments were performed, and blood samples were collected for PK analyses. RESULTS: The pharmacokinetic results revealed that the concentrations of YJ001 and its metabolites were low, and most of them were lower than the lower limit of quantitation. In patients with DNP, treatment with a 480 mg YJ001 spray dose significantly reduced pain and improved sleep quality compared with placebo. No serious adverse events (SAEs) or clinically significant findings of the safety parameters were observed. CONCLUSION: Systemic exposure to YJ001 and its metabolites is low after YJ001 spray is applied locally to the skin, which will reduce systemic toxicity and adverse reactions. YJ001 appears to be well tolerated and potentially effective in the management of DNP and is a promising new remedy for DNP.

Solitary Fibrous Tumor of the Prostate Shown on FAPI PET/CT.

ABSTRACT: Solitary fibrous tumors are fibroblast tumors that occur mainly in the peritoneum, extremities, and pleura. Here, we report the MRI, FDG PET/CT, and FAPI PET/CT findings of a rare prostate solitary fibrous tumor. A 57-year-old man was pathologically diagnosed with a solitary fibrous tumor. To detect any systemic metastases or other primary lesions, the patient underwent FDG PET/CT and FAPI PET/CT examination sequentially. Mild FDG uptake was observed in the primary prostatic lesion, but there was a significant uptake of FAPI in the prostate. This case highlighted that FAPI PET/CT may outperform FDG PET/CT in identifying solitary fibrous tumors.

High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System.

Stochastic resonance (SR), as a type of noise-assisted signal processing method, has been widely applied in weak signal detection and mechanical weak fault diagnosis. In order to further improve the weak signal detection performance of SR-based approaches and realize high-performance weak fault diagnosis, a global parameter optimization (GPO) model of a cascaded SR system is proposed in this work. The cascaded SR systems, which involve multiple multi-parameter-adjusting SR systems with both bistable and tri-stable potential functions, are first introduced. The fixed-parameter optimization (FPO) model and the GPO models of the cascaded systems to achieve optimal SR outputs are proposed based on the particle swarm optimization (PSO) algorithm. Simulated results show that the GPO model is capable of achieving a better SR output compared to the FPO model with rather good robustness and stability in detecting low signal-to-noise ratio (SNR) weak signals, and the tri-stable cascaded SR system has a better weak signal detection performance compared to the bistable cascaded SR system. Furthermore, the weak fault diagnosis approach based on the GPO model of the tri-stable cascaded system is proposed, and two rolling bearing weak fault diagnosis experiments are performed, thus verifying the effectiveness of the proposed approach in high-performance adaptive weak fault diagnosis.

Multiple doses of SHR-1222, a sclerostin monoclonal antibody, in postmenopausal women with osteoporosis: A randomized, double-blind, placebo-controlled, dose-escalation phase 1 trial.

SHR-1222, a novel humanized monoclonal antibody targeting sclerostin, has been shown to induce bone formation and decrease bone resorption at a single dose ranging 50-400 mg in our previous phase 1 trial. This study was a randomized, double-blind, placebo-controlled, dose-escalation phase 1 trial, which further investigated the safety, tolerability, pharmacokinetics (PK), pharmacodynamics (PD), and immunogenicity of multiple ascending doses of SHR-1222 in women with postmenopausal osteoporosis (POP). A total of 105 women with POP were enrolled and randomly assigned. Twenty-one received placebo and eighty-four received SHR-1222 sequentially (100 mg QM, n=4; 200 or 300 mg QM, n=20; and 400 or 600 mg Q2M, n=20). The most common adverse events included increased blood parathyroid hormone, increased low-density lipoprotein, increased blood alkaline phosphatase, increased blood cholesterol, back pain, and arthralgia, the majority of which were mild in severity without noticeable safety concerns. Serum SHR-1222 exposure (Cmax,ss and AUC0-tau,ss) increased in a greater than dose-proportional manner. Following multiple doses of SHR-1222, the bone formation markers (terminal propeptide of type I procollagen, bone-specific alkaline phosphatase, and osteocalcin) increased in a dose-dependent manner, whereas the bone resorption marker (ß-C-telopeptide) was downregulated. Accordingly, BMD gains in the lumbar spine, total hip, and femoral neck were observed. The maximum BMD increase from baseline at the lumbar spine was detected in the 300 mg QM cohort (14.6% vs. 0.6% in the placebo group on day 169). Six (6/83; 7.2%) subjects developed anti-SHR-1222 antibodies with no discernible effects on PKs, PDs, and safety. Thus, multiple doses of SHR-1222 showed an acceptable safety profile and dose-dependent plasma exposure in women with POP, and could improve their BMD rapidly and prominently by promoting bone formation and inhibiting bone resorption. These findings further support SHR-1222 as a potential alternative agent for the treatment of POP.

YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection.

Sperm detection performance is particularly critical for sperm motility tracking. However, there are a large number of non-sperm objects, sperm occlusion and poorly detailed texture features in semen images, which directly affect the accuracy of sperm detection. To solve the problem of false detection and missed detection in sperm detection, a multi-sperm target detection model, Yolov5s-SA, with an SA attention mechanism is proposed based on the YOLOv5s algorithm. Firstly, a depthwise, separable convolution structure is used to replace the partial convolution of the backbone network, which can ensure stable precision and reduce the number of model parameters. Secondly, a new multi-scale feature fusion module is designed to enhance the perception of feature information to supplement the positional information and high-resolution of the deep feature map. Finally, the SA attention mechanism is integrated into the neck network before the output of the feature map to enhance the correlation between the feature map channels and improve the fine-grained feature fusion ability of YOLOv5s. Experimental results show that compared with various YOLO algorithms, the proposed algorithm improves the detection accuracy and speed to a certain extent. Compared with the YOLOv3, YOLOv3-spp, YOLOv5s and YOLOv5m models, the average accuracy increases by 18.1%, 15.2%, 6.9% and 1.9%, respectively. It can effectively reduce the missed detection of occluded sperm and achieve lightweight and efficient multi-sperm target detection.

HCC treated with immune checkpoint inhibitors: a hyper-enhanced rim on Sonazoid-CEUS Kupffer phase images is a predictor of tumor response.

OBJECTIVES: We aimed to evaluate the efficacy of anti-programmed cell death 1 (PD-1)/programmed death-ligand 1 (PD-L1) antibody therapy by assessing the hyper-enhanced rim phenomenon of hepatocellular carcinoma (HCC) on Sonazoid-contrast-enhanced ultrasound (CEUS) Kupffer phase images. METHODS: This retrospective study included 61 patients with HCC who received anti-PD-1/PD-L1 antibody therapy from August 1, 2020, to January 31, 2022. We compared the progression-free survival (PFS) of patients with hyper-enhanced rim+ and hyper-enhanced rim-nodules and the time to nodule progression (TTnP) of hyper-enhanced rim+ and hyper-enhanced rim- nodules. RESULTS: Thirty-nine patients received postoperative therapy, and 22 patients had unresectable HCC. The mean PFS was 11.8 months (95% confidence interval [CI]: 8.7-14.9) for patients with hyper-enhanced rim+ HCC nodules and 16.5 months (95% CI: 14.9-18.1) for patients with hyper-enhanced rim- HCC nodules in the surgery group (p = 0.017). The mean PFS was 9.2 months (95% CI: 3.6-14.8) for patients with hyper-enhanced rim+ HCC nodules and 17.8 months (95% CI: 14.9-20.6) for patients with hyper-enhanced rim- HCC nodules in the non-surgery group (p = 0.015). For hyper-enhanced rim+ HCC nodules, TTnP for each nodule exceeding the specified threshold was 10.1 months, whereas that for hyper-enhanced rim- HCC nodules was 17.6 months (p = 0 .018). The disease control rate was 42.9% (3/7) for hyper-enhanced rim+ HCC nodules and 85.7% (21/24) for hyper-enhanced rim- HCC nodules (p = 0.013). CONCLUSIONS: The presence of hyper-enhanced rim on the Kupffer phase images obtained via the non-invasive Sonazoid-CEUS is a promising imaging biomarker for predicting unfavorable response with anti-PD-1/PD-L1 therapy in patients with HCC. KEY POINTS: • The mean progression-free survival was 11.8 months for patients with hyper-enhanced rim+ HCC nodules and 16.5 months for patients with hyper-enhanced rim- HCC nodules in the surgery group. • The mean progression-free survival was 9.2 months for patients with hyper-enhanced rim+ HCC nodules and 17.8 months for patients with hyper-enhanced rim- HCC nodules in the non-surgery group. • The disease control rate was 42.9% for hyper-enhanced rim+ HCC nodules and 85.7% for hyper-enhanced rim- HCC nodules (p = 0.013).

Repeat hepatectomy versus microwave ablation for solitary and small (≤3 cm) recurrent hepatocellular carcinoma with early or late recurrence: A propensity score matched study.

BACKGROUND: Repeat hepatectomy (RH) and microwave ablation (MWA) are frequently used procedures for the treatment of recurrent hepatocellular carcinoma (HCC) after curative resection. This study aimed to compare the long-term outcomes of RH and MWA for solitary and small HCC with early or late recurrence. METHOD: This retrospective study enrolled patients who underwent RH or MWA for solitary and small (≤3 cm) recurrent HCC at Tongji hospital between April 2006 and December 2020. Propensity score matching (PSM) was further employed to analyze the prognosis of different treatment methods. RESULTS: A total of 256 patients were analyzed, of whom 94 and 162 underwent RH and MWA, respectively. The overall treatment-related complication rate was higher in the RH group. Both recurrence-free survival (RFS) and overall survival (OS) rates of RH were significantly better than those of MWA. Multivariate analysis showed that MWA, early recurrence (within 24 months after initial resection), cirrhosis, and AFP >400 ng/ml were independent risk factors for poor prognoses of recurrent HCC. The stratified analysis demonstrated that MWA and RH had similar long-term outcomes in patients with early recurrence. Nevertheless, MWA had worse RFS and OS than RH in patients with late recurrence. The same results were obtained in the PSM analysis. CONCLUSION: The long-term outcomes of HCC patients with late recurrence were significantly better than those with early recurrence. RH should be the first choice for solitary small recurrent HCC patients with late recurrence, while MWA should be selected for those with early recurrence.

Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. AIM: To predict early recurrence (ER) and overall survival (OS) in patients with HCC after radical resection using deep learning-based radiomics (DLR). METHODS: A total of 414 consecutive patients with HCC who underwent surgical resection with available preoperative grayscale and contrast-enhanced ultrasound images were enrolled. The clinical, DLR, and clinical + DLR models were then designed to predict ER and OS. RESULTS: The DLR model for predicting ER showed satisfactory clinical benefits [area under the curve (AUC)] = 0.819 and 0.568 in the training and testing cohorts, respectively), similar to the clinical model (AUC = 0.580 and 0.520 in the training and testing cohorts, respectively; P > 0.05). The C-index of the clinical + DLR model in the prediction of OS in the training and testing cohorts was 0.800 and 0.759, respectively. The clinical + DLR model and the DLR model outperformed the clinical model in the training and testing cohorts (P < 0.001 for all). We divided patients into four categories by dichotomizing predicted ER and OS. For patients in class 1 (high ER rate and low risk of OS), retreatment (microwave ablation) after recurrence was associated with improved survival (hazard ratio = 7.895, P = 0.005). CONCLUSION: Compared to the clinical model, the clinical + DLR model significantly improves the accuracy of predicting OS in HCC patients after radical resection.

Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance.

As a powerful feature extraction tool, a convolutional neural network (CNN) has strong adaptability for big data applications such as bearing fault diagnosis, whereas the classification performance is limited when the quality of raw signals is poor. In this paper, stochastic resonance (SR), which provides an advanced feature enhancement approach for weak signals with strong background noise, is introduced as a data pre-processing method for the CNN to improve its classification performance. First, a multiparameter adjusting bistable Duffing system that can achieve SR under large-parameter weak signals is introduced. A hybrid optimization algorithm (HOA) combining the genetic algorithm (GA) and the simulated annealing (SA) is proposed to adaptively obtain the optimized parameters and output signal-to-noise ratio (SNR) of the Duffing system. Therefore, the data optimization based on the multiparameter-adjusting SR of Duffing system can be realized. An SR-based mapping method is further proposed to convert the outputs of the Duffing system into grey images, which can be further processed by a normal CNN with batch normalization (BN) layers and dropout layers. After verifying the feasibility of the HOA in multiparameter optimization of the Duffing system, the bearing fault data set from the CWRU bearing data center was processed by the proposed fault enhancement classification and identification method. The research showed that the weak features of the bearing signals could be enhanced significantly through the adaptive multiparameter optimization of SR, and classification accuracies for 10 categories of bearing signals could achieve 100% and those for 20 categories could achieve more than 96.9%, which is better than other methods. The influences of the population number on the classification accuracies and calculation time were further studied, and the feature map and network visualization are presented. It was demonstrated that the proposed method can realize high-performance fault enhancement classification and identification.

New Insights into the Deposition of Zearalenone in Minipigs: A Suitable Bioindicator for Internal Exposure.

The detrimental footprint of mycotoxins in agriculture and on animal production has been widely recognized, especially in swine. Despite an increased number of research evaluating the toxicokinetics of mycotoxins in animal organisms, the absorption, distribution, metabolization, and excretion (ADME) patterns of zearalenone (ZEN) need further understanding. Furthermore, in vivo bioindicator for ZEN exposure in individual pigs has yet to be characterized. This study explored the ADME of ZEN in Bama Aroma pigs, a Chinese miniature pig breed, that has been used herein as a swine model. The findings revealed that ZEN was mainly metabolized into α-zearalenol (α-ZOL), and both ZEN and α-ZOL were mostly found in conjugated forms in the plasma, urine, and bile. The concentration and composition patterns of ZEN and its metabolites were tissue-specific, implying that the small intestine, liver, kidney, and lung play different roles in ZEN metabolism. The plasma concentrations of ZEN + α-ZOL highly correlated (R2 = 0.993) with the ZEN dietary exposure and may be utilized as a bioindicator to investigate animal exposure and mitigation efficacy of mycotoxin detoxifiers. This research would provide both fundamental information and a useful animal model for ZEN toxicity and detoxification studies.

Anatomical liver resection improves surgical outcomes for combined hepatocellular-cholangiocarcinoma: A propensity score matched study.

Background: The efficacies of anatomical resection (AR) and non-anatomical resection (NAR) in the treatment of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) remain unclear. This study aimed to compare the prognostic outcomes of AR with those of NAR for cHCC-CCA. Method: Patients diagnosed with pathology-confirmed cHCC-CCA, and who underwent curative resection at Tongji hospital between January 2010 and December 2019 were included in this retrospective study. A one-to-one propensity score matching (PSM) analysis was used to compare the long-term outcomes of AR to those of NAR. Results: A total of 105 patients were analyzed, of whom 48 (45.7%) and 57 (54.3%) underwent AR and NAR, respectively. There were no significant differences in short-term outcomes between the two groups, including duration of postoperative hospital stay, the incidence of perioperative complications, and incidence of 30-day mortality. However, both, the 5-year overall survival (OS) and recurrence-free survival (RFS) rates of AR were significantly better than those of NAR (40.5% vs. 22.4%, P=0.002; and 37.3% vs. 14.4%, P=0.002, respectively). Multivariate analysis showed that NAR, multiple tumors, larger-sized tumors (>5 cm), cirrhosis, lymph node metastasis, and vascular invasion were independent risk factors for poor prognoses. Stratified analysis demonstrated similar outcomes following AR versus NAR for patients with tumors > 5cm in diameter, while AR had better survival than NAR in patients with tumors ≤5 cm in diameter. After PSM, when 34 patients from each group were matched, the 5-year OS and RFS rates of AR were still better than those of NAR. Conclusion: Patients with cHCC-CCA who underwent AR had better long-term surgical outcomes than those who underwent NAR, especially for those with tumors ≤5 cm in diameter. However, no differences in the risk of surgical complications were detected between the two groups.