Search

The Wide-Field Infrared Explorer (WISE) survey captured massive amounts of infrared astronomical object data, and different astronomical objects will show different characteristics. Especially spiral galaxies that are richer in colour than other astronomical objects. In addition, the Sloan Digital Sky Survey (SDSS) has obtained a large number of visible light images and their parameter. So this paper mainly explores the colour characteristics of WISE spiral galaxies, and uses SDSS, 2MASS, WISE, and MANGA parameters to analyse the differences between different classes and the commonality of the same class, so that provides help for astronomers to study infrared spiral galaxies. First, the RA and Dec. of the spiral galaxy samples were crossed in GalaxyZoo2. The flux data of w1, w2, and w3 bands in WISE were crossed for image synthesis. The Bootstrap Your Own Latent contrastive learning framework and K-means clustering were used to unsupervised classify the infrared spiral galaxy images. After multiple experiments, five classes of images were selected by referring to the best clustering results. Finally, the parameter of galaxies in SDSS, 2MASS, WISE, and MANGA catalogues were crossed, including redshift, 12 magnitudes that from visible light band to mid-infrared band, stellar formation rate, stellar metallicity, stellar velocity dispersion, etc. These parameters were qualitatively and quantitatively analyzed. The effectiveness of unsupervised clustering algorithms for handling unlabeled data is demonstrated and two special classes of galaxies are found. The analysis result shows that the distribution characteristics of different parameters of different classes of infrared spiral galaxies are different.

Bicalutamide (BCL) has been approved for treatment of advanced prostate cancer (Pca), and vitamin D is inevitably used in combination with BCL in Pca patients for skeletal or anti-tumor strategies. Therefore, it is necessary to study the effect of vitamin D application on the pharmacokinetics of BCL. We developed and validated a specific, sensitive and rapid UHPLC–MS/MS method to investigate the pharmacokinetic behaviours of BCL in rat plasma with and without the combined use of vitamin D. Plasma samples were extracted by protein precipitation with ether/dichloromethane (2:1 v/v), and the analytes were separated by a Kinetex Biphenyl 100A column (2.1 × 100 mm, 2.6 μm) with a mobile phase composed of 0.5 mM ammonium acetate (PH 6.5) in water (A) and acetonitrile (B) in a ratio of A:B = 35:65 (v/v). Analysis of the ions was run in the multiple reactions monitoring (MRM) mode. The linear range of BCL was 5–2000 ng mL−1. The intra- and inter-day precision were less than 14%, and the accuracy was in the range of 94.4–107.1%. The mean extraction recoveries, matrix effects and stabilities were acceptable for this method. The validated method was successfully applied to evaluate the pharmacokinetic behaviours of BCL in rat plasma. The results demonstrated that the pharmacokinetic property of BCL is significantly affected by combined use of vitamin D, which might help provide useful evidence for the clinical therapy and further pharmacokinetic study.

Liver transplantation (LT), resection (LR), and ablation (LA) are three curative-intent treatment options for patients with early hepatocellular carcinoma (HCC). We aimed to develop a prognostic calculator to compare the long-term outcomes following each of these therapies.A total of 976 patients with HCC within the Milan criteria who underwent LT, LR, and LA between 2009 and 2019 from four institutions were evaluated. Multistate competing risks prediction models for recurrence-free survival (RFS), recurrence within the Milan criteria (RWM), and HCC-specific survival (HSS) were derived to develop a prognostic calculator.During a median follow-up of 51 months, 420 (43%) patients developed recurrence. In the multivariate analysis, larger tumor size, multinodularity, older age, male, higher alpha-fetoprotein (AFP), higher albumin-bilirubin (ALBI) grade, and the presence of portal hypertension were significantly associated with higher recurrence and decreased survival rates. The RFS and HSS were both significantly higher among patients treated by LT than by LR or LA and significantly higher between patients treated by LR than by LA (all p 0.001). For multinodular HCC ≤3 cm, although LT had better RFS and HSS than LR or LA, LA was noninferior to LR. An online prognostic calculator was then developed based on the preoperative clinical factors that were independently associated with outcomes to evaluate RFS, RWM, and HSS at different time intervals for all three treatment options.Although LT resulted in the best recurrence and survival outcomes, LR and LA also offered durable long-term alternatives. This prognostic calculator is a useful tool for clinicians to guide an informed and personalized discussion with patients based on their tumor biology and liver function.

In this paper, we propose a convolutional neural network (CNN)-based photometric pipeline for the Sloan Digital Sky Survey (SDSS) images. The pipeline includes three main parts: the target source detection, the target source classification, and the photometric parameter measurement. The last part is completed using traditional methods. The paper mainly focuses on the first two parts and does not present the last. In the 1st part, a network named TSD-YOLOv4 is proposed to detect new sources missed by the SDSS photometric pipeline according to the PhotoObjAll catalogue of SDSS. In the second part, a target source classification network named TSCNet is constructed to classify sources into galaxies, quasars, and stars directly from photometric images. Experiments show that TSD-YOLOv4 outperforms other networks (Faster-RCNN, YOLOv4, YOLOX, etc.) in all metrics, with an accuracy of 0.988, a recall of 0.997, and an F1-score of 0.992, and TSCNet has good performance with a classification accuracy of 0.944 on the test set with 23 265 sources, and precision rates of 0.98, 0.908, and 0.918 for galaxies, quasars, and stars, respectively. On the other hand, the recall rates are 0.982, 0.903, and 0.921 for galaxies, quasars, and stars, respectively. The TSCNet has higher accuracy, fewer parameters, and faster inference speed than the leading astronomical photometric source classification network, the APSCNet model. In addition, the effect of magnitude distribution on the classification results is discussed in the experiments. The experiments prove that the proposed pipeline can be used as a powerful tool to supplement the SDSS photometric catalogue.

Stereotactic body radiation therapy (SBRT) has gradually been recognized as favorable curative treatment for localized prostate cancer (PC). However, the high rate of erectile dysfunction (ED) after traditional photon-based SBRT remains an ongoing challenge that greatly impacts the quality of life of PC survivors. Modern proton therapy allows higher conformal SBRT delivery and has the potential to reduce ED occurrence but its cost-effectiveness remains uninvestigated.A Markov decision model was designed to evaluate the cost-effectiveness of proton SBRT versus photon SBRT in reducing irradiation-related ED. Base-case evaluation was performed on a 66-year-old (median age of PC) localized PC patient with normal pretreatment erectile function. Further, stratified analyses were performed for different age groups (50, 55, 60, 65, 70, and 75 years) and threshold analyses were conducted to estimate cost-effective scenarios. A Chinese societal willingness-to-pay (WTP) threshold (37,653 US dollars [$])/quality-adjusted life-year [QALY]) was adopted.For the base case, protons provided an additional 0.152 QALY at an additional cost of $7233.4, and the incremental cost-effectiveness ratio was $47,456.5/QALY. Protons was cost-effective for patients ≤62-year-old at the WTP of China (≤66-year-old at a WTP of $50,000/QALY; ≤73-year-old at a WTP of $100,000/QALY). For patients at median age, once the current proton cost ($18,000) was reduced to ≤$16,505.7 or the patient had a life expectancy ≥88 years, protons were cost-effective at the WTP of China.Upon assumption-based modeling, the results of current study support the use of proton SBRT in younger localized PC patients who are previously potent, for better preservation of erectile function. The findings await further validation using data from future comparative clinical trials.

The keyword detection of Japanese speech in streaming media has a certain effect on our study of Japanese information and a certain promotion effect on Japanese teaching. Currently, there is a problem of stability in the detection model of Japanese speech keywords. In order to improve the detection effect of Japanese speech keywords in streaming media, based on SVM, this study constructed a detection model of Japanese speech keywords in streaming media based on support vector machine. Moreover, this study analyzes the problem of SVM probability output and the comprehensive problem of SVM confidence, etc. In addition, by comparing the effect of confidence synthesis with the arithmetic average method, we found that the confidence obtained by SVM can obtain a higher recognition rate under the same rejection rate and improve the overall performance of the system. Finally, this study uses the difference comparison test to analyze the performance of the model proposed in this study. The research results show that the algorithm proposed in this paper has good performance and can be used as a follow-up system algorithm.

Atmospheric aerosols can scatter and absorb the incident solar radiation, and thus impact the land carbon cycle by perturbating the radiation required for photosynthesis. Atmospheric aerosols inhibit the carbon uptake by terrestrial ecosystems through reducing the total amount of incident radiation, while the increased proportion of diffuse irradiance is known to promote photosynthesis. In the past few decades, with the rapid industrialization and urbanization, China has suffered from frequent haze pollution episodes, which have brought up severe environmental problems and ecological impacts. Here, we use a regional climate model, WRF-Chem, along with the offline driven Simplified Simple Biosphere Model (SSiB4) to investigate the impact of aerosol radiation effects on land biosphere carbon uptake capacity. The results show that the current aerosol loading has led to significant decrease in the incident solar radiation in China, which severely suppresses the gross primary production (GPP) and net primary production (NPP). Then, we assessed the influences of stringent emission and pollution control policies on terrestrial ecosystem carbon fluxes. By comparing the simulation results based on China’s ambitious carbon neutrality policies with the reference scenario with negligible emission control, we found that the carbon neutrality scenario with rigorous pollution control increases the incident solar radiation and thereby enhancing the carbon uptake of land biosphere. Under the current state of aerosol loading, the decrease of total amount of incident radiation dominates the suppression of terrestrial carbon uptake, while aerosol diffuse fertilization effect can only partly offset the inhibition of decreased solar radiation on plant photosynthesis. Our findings improve the understanding of the interactions between aerosol pollution and the land carbon cycle, and suggest an appreciable ecological benefit and a potential terrestrial carbon sink enhancement of stringent emission and pollution control actions.

The mobile cloud gaming industry has been rapidly growing over the last decade. When streaming gaming videos are transmitted to customers' client devices from cloud servers, algorithms that can monitor distorted video quality without having any reference video available are desirable tools. However, creating No-Reference Video Quality Assessment (NR VQA) models that can accurately predict the quality of streaming gaming videos rendered by computer graphics engines is a challenging problem, since gaming content generally differs statistically from naturalistic videos, often lacks detail, and contains many smooth regions. Until recently, the problem has been further complicated by the lack of adequate subjective quality databases of mobile gaming content. We have created a new gaming-specific NR VQA model called the Gaming Video Quality Evaluator (GAMIVAL), which combines and leverages the advantages of spatial and temporal gaming distorted scene statistics models, a neural noise model, and deep semantic features. Using a support vector regression (SVR) as a regressor, GAMIVAL achieves superior performance on the new LIVE-Meta Mobile Cloud Gaming (LIVE-Meta MCG) video quality database., Accepted to IEEE SPL 2023. The implementation of GAMIVAL has been made available online: https://github.com/lskdream/GAMIVAL

Supplementary Figures S1 - S9: Supplementary Figure S1. Regulation of PLIN2 and other LD coat protein genes in ccRCC tissue. Supplementary Figure S2. PPARγ function is not required for PLIN2 expression in ccRCC. Supplementary Figure S3. HIF-2alpha dependent PLIN2 expression promotes cell viability in nutrient deprived regions of 3D tumor spheroids. Supplementary Figure S4. PLIN2 is required for lipid storage, cell viability, and maintenance of ER homeostasis in A498 cells. Supplementary Figure S5. Validation of IRE-1alpha inhibitor, PERK inhibitor, and ATF6 siRNA in A498 cells. Supplementary Figure S6. Suppression of UPR signaling in A498 cells following PLIN2 depletion. Supplementary Figure S7. Energetic effects of PLIN2 depletion in ccRCC cell lines and evidence for suppression of beta-oxidation in ccRCC tumor tissue. Supplementary Figure S8. UPR or fatty acid synthesis modulation in PLIN2 depleted cells. Supplementary Figure S9. Lipid storage protects against brefeldin A induced ER stress.

Supplementary Tables S1 - S3: Table S1. Expression of triglyceride synthesis genes in primary ccRCC (n=480) compared to normal kidney (n=69) samples. Table S2. Expression of cholesterol synthesis genes in primary ccRCC (n=480) compared to normal kidney (n=69) samples. Table S3. Relative concentration of acyl-carnitines in 20 primary ccRCC tumors compared to matched adjacent normal kidney samples.

Supplementary Figure Legends: Legends for all supplementary figures.

Supplemental Table Legends: Legends for all supplementary tables.

The role of extrachromosomal circular DNA (eccDNA) has been highlighted. More recently, eccDNA-chromosome interactions were identified, suggesting a potential role of eccDNA in transcriptional regulation. Several databases currently provide valuable resources for the study of eccDNAs. However, these databases are primarily focused on Human eccDNAs and do not provide analysis of eccDNA-chromosome interaction and eccDNA gene expression in different tissues. Herein, to further integrate available resources for eccDNA data across multiple species, we developed the eccDB database. The current version of eccDB has collected a total of 1,317,182 eccDNAs in 424 samples from four species (homo sapiens, mus musculus, saccharomyces cerevisiae, and arabidopsis thaliana). eccDB provides regulatory and epigenetic information on eccDNA, including typical enhancers, super-enhancers, transcription factors, DNA methylation positions, risk SNPs, expression quantitative trait locus, chromatin accessibility regions, and chromHMM states. In particular, eccDB provides eccDNAs intrachromosomal and interchromosomal interaction analysis to predict the transcriptional regulatory functions of eccDNA. Moreover, eccDB identifies eccDNAs from unknown DNA sequences and analyzes the functional and evolutionary relationships of an eccDNA among different species. Overall, eccDB offers web-based analytical tools and a comprehensive resource for biologists and clinicians to decipher the molecular regulatory mechanisms of eccDNA. eccDB is freely available at http://www.xiejjlab.bio/eccDB

This file contains immunoblot evaluations of phospho-EGFR and EGFR expression in GIST cell lines to support Figure 1A.

This file shows that coordinated inhibition of IR and KIT has additive effect on cell viability in imatinib-resistant GIST cell line. This Figure is supplied in support of Figure 3B.

Genomic alterations of tumor suppressorsoften encompass collateral protein-coding genes that create therapeutic vulnerability to further inhibition of their paralogs. Here, we report that malic enzyme 2 (ME2) is frequently hemizygously codeleted with SMAD4 in gastric cancer. Its isoenzyme ME1 was upregulated to replenish the intracellular reducing equivalent NADPH and to maintain redox homeostasis. Knockdown of ME1 significantly depleted NADPH, induced high levels of reactive oxygen species (ROS), and ultimately cell apoptosis under oxidative stress conditions, such as glucose starvation and anoikis, in ME2-underexpressed cells. Moreover, ME1 promoted tumor growth, lung metastasis, and peritoneal dissemination of gastric cancer in vivo. Intratumoral injection of ME1 siRNA significantly suppressed tumor growth in cell lines and patient-derived xenograft–based models. Mechanistically, ME1 was transcriptionally upregulated by ROS in an ETV4-dependent manner. Overexpression of ME1 was associated with shorter overall and disease-free survival in gastric cancer. Altogether, our results shed light on crucial roles of ME1-mediated production of NADPH in gastric cancer growth and metastasis.Significance: These findings reveal the role of malic enzyme in growth and metastasis.Graphical Abstract: http://cancerres.aacrjournals.org/content/canres/78/8/1972/F1.large.jpg. Cancer Res; 78(8); 1972–85. ©2018 AACR.

Oncogenic KIT or PDGFRA receptor tyrosine kinase (RTK) mutations are compelling therapeutic targets in gastrointestinal stromal tumors (GIST), and treatment with the KIT/PDGFRA inhibitor imatinib is the standard of care for patients with metastatic GIST. Most GISTs eventually acquire imatinib resistance due to secondary mutations in the KIT kinase domain, but it is unclear whether these genomic resistance mechanisms require other cellular adaptations to create a clinically meaningful imatinib-resistant state. Using phospho-RTK and immunoblot assays, we demonstrate activation of KIT and insulin receptor (IR) in imatinib-resistant GIST cell lines (GIST430 and GIST48) and biopsies with acquisition of KIT secondary mutations, but not in imatinib-sensitive GIST cells (GIST882 and GIST-T1). Treatment with linsitinib, a specific IR inhibitor, inhibited IR and downstream intermediates AKT, MAPK, and S6 in GIST430 and GIST48, but not in GIST882, exerting minimal effect on KIT phosphorylation in these cell lines. Additive effects showing increased apoptosis, antiproliferative effects, cell-cycle arrest, and decreased pAKT and pS6 expression, tumor growth, migration, and invasiveness were observed in imatinib-resistant GIST cells with IR activation after coordinated inhibition of IR and KIT by linsitinib (or IR shRNA) and imatinib, respectively, compared with either intervention alone. IGF2 overexpression was responsible for IR activation in imatinib-resistant GIST cells, whereas IR activation did not result from IR amplification, IR mutation, or KIT phosphorylation. Our findings suggest that combinatorial inhibition of IR and KIT warrants clinical evaluation as a novel therapeutic strategy in imatinib-resistant GISTs. Cancer Res; 77(18); 5107–17. ©2017 AACR.

Figure legends for Figure S1-7.

Supplementary Figure S1. SMAD4 and ME2 copy number are frequently altered in human malignancies. Supplementary Figure S2. ME1 maintains cell survival during glucose deprivation. Supplementary Figure S3. Effects of ME1 on epithelial mesenchymal transition in gastric cancer. Supplementary Figure S4. Simultaneous knockdown of ME1 and ME2 in HGC27 cells significantly suppressed tumor growth in vivo. Supplementary Figure S5. Immunoblots show increased ME1 and decreased ME2 expression in the tumor tissues compared with corresponding normal tissues of PDX models. Supplementary Figure S6. ETV4 regulates ME1 expression in gastric cancer. Supplementary Figure S7. Clinical significance of ETV4/ME1 axis in gastric cancer.

Table S1. Primers sequence for qPCR Table S2. The correlation between clinicopathological parameters and ME1 expression Table S3. Univariate and multivariate analyses of various potential prognostic factors in GC patients

This file contains legends for figures supplied as supplementary data. Immunoblot evaluations of EGFR and phospho-EGFR in GIST cell lines and non-small cell lung cancer cell lines (A549 and PC-9). Actin stain is a loading control. Coordinated inhibition of IR and KIT has additive effect on cell viability in imatinib-resistant GIST430, as compared to either intervention alone, but not in imatinib-sensitive GIST882.

Objective To investigate the role of EGFR/STAT5 signaling pathway in the pathogenesis of rheumatoid arthritis (RA). Method Identifying the differentially expressed genes (DEGs) with bioinformatics analysis. Rheumatoid arthritis fibroblast-like synovial cells (RA-FLS) were collected from patients clinically and cultured in vitro. EGFR and STAT expression levels were detected in tissues using immunohistochemistry(IHC). Moreover the expression of downstream proteins of the EGFR/STAT5 pathway(IL-2, IL-15, Bcl-2, and Bcl-xL)were quantified in RA-FLS cells using western blot. Result It was found that EGFR expression was significantly different in RA synovium, and immunohistochemistry confirmed that EGFR and STAT5 was significantly expressed in RA synovium. Additionally, in vitro experiments using RA-FLS uncovered that protein expression levels of IL-2, IL-15, Bcl-2, and Bcl-xL were significantly increased compared to normal FLS. More importantly, the protein expression levels of IL-2, IL-15, Bcl-2, and Bcl-xL were significantly decreased after EGFR inhibitor use, while an opposite trend was observed when EGFR agonists were utilized. Conclusion Inhibiting EGFR/STAT5 signaling pathway results in the apoptosis of RA-FLS and prohibits the occurrence of RA-FLS inflammatory response, which can be used as a therapeutic target for RA.

A train of subsurface mesoscale eddies (SMEs) consisting of two cyclones and two anticyclones was observed in the northeastern South China Sea (NESCS) in 2015 by a mooring array. In contrast to the widely reported surface-intensified eddies, the SMEs had weak surface signals but showed maximum velocity at ∼370 m with a magnitude of 17.2 cm s−1. The SMEs generally propagated westward with a speed of ∼4.3 cm s−1, which resulted in a distinct ∼120-day-period oscillations in the moored time series. Based on the concurrent velocity, temperature, and salinity from the mooring array, three-dimensional structures of the SMEs were constructed, which were then used to quantify water mass transports induced by them. The results revealed that all these SMEs were vertically tilted with an influence depth exceeding 1000 m. Water mass analysis suggested that the cyclonic and anticyclonic SMEs trapped the northwest Pacific water and the NESCS local water, respectively. The cyclones transported 1.00 ± 0.25 Sv (1 Sv ≡ 106 m3 s−1) North Pacific Intermediate Water westward into the NESCS during the 2-yr observation period, accounting for 61.7% of the observed volume transport through the Luzon Strait between 25.8 and 27.4σ0. Furthermore, it also showed that both the trapping and stirring effects of the SMEs induced an eastward heat transport across the Luzon Strait, but the role of the former was much more important than the latter. The present results suggested that the SMEs near the Luzon Strait may provide a novel route for the intermediate-layer water exchange between the NESCS and Pacific.

Cholangiocarcinoma (CCA) is a type of highly malignant tumor originating from bile ducts. The prognosis of CCA is poor and the treatment options are limited. The biomarker study of CCA has made little progresses in recent years because of the difficulty to obtain CCA specimens. SOX9 is an important regulator of cholangiocyte proliferation and differentiation. We performed mRNA sequencing of CCA, retrieved TCGA data, and detected SOX9 expression in a large CCA cohort. With WNT3A stimulation, SOX9 expression and transcription was elevated by TCF7. Moreover, SOX9 was substantially up-regulated in CCA tissues and was identified as a prognostic biomarker of CCA. With mRNA sequencing and in vitro/vivo validation, we demonstrated that SOX9 enhanced the transcription and expression of FGF7 and FGFR2. FGF7 was significantly up-regulated in the bile and serum of CCA patients, and may promote CCA proliferation by activating FGFR2 in an autocrine pathway. co-expression of FGF7 and FGFR2 was a more sensitive marker for poor prognosis. SOX9-induced overexpression of FGF7 and FGFR2 was the key reason of SOX9-involved pemigatinib resistance. In conclusion, SOX9 and FGF7 were prognostic biomarkers of CCA. WNT3A-TCF7-SOX9 axis could induce pemigatinib resistance in two independent pathways: (1)SOX9 directly promotes FGFR2 transcription and expression; (2)SOX9 elevates FGF7 expression, which could be secreted from CCA cells and activates FGFR2 phosphorylation in an autocrine pathway.

Cardiovascular diseases are very harmful to human life and health. Reperfusion therapy is a standard method to treat cardiovascular diseases and has achieved high clinical effects. However, this treatment method is likely to cause myocardial ischemia-reperfusion injury. It has been reported that the Rho kinase inhibitor fasudil can interfere with cardiomyocyte apoptosis through the Rho-ROCK signaling pathway, so it is often used to treat cardiovascular diseases. The essay aims to research this specific influence of fasudil on cardiac damage in myocardial ischemia-reperfusion mouses through the Rho-ROCK signal path and its related mechanisms. Forty rats were taken as the research object, and the mouses were separated into control clusters. In the observation cluster of fasudil, the rat heart device was perfused by surgery. The rat coronary artery was ligated for 20 minutes to make the rat myocardial ischemia. Then, the ligation was loosened for myocardial perfusion to create a rat myocardial ischemia-reperfusion model. Observation group rats were perfused with quantitative fasudil, 80 minutes after ischemia-reperfusion, the ultrastructural changes and myocardial ischemic area of the rat myocardium were observed under a microscope, and the dynamic changes of the mouse heart were examined by flow cytometry. The PCR fluorescence method was used to explore the outlook layer of Rho-ROCK kinase activity to detect rat cardiomyocyte apoptosis. It is shown that under this intervention of fasudil, this expression level of Rho-ROCK kinase activity in the observation group was reduced by 18.3%, the myocardial cell apoptosis rate was decreased by 26.4%, and one area of myocardial ischemia can be reduced by 32.5%. The ultrastructure of the new object in rats is improved, and the left ventricular diastolic and systolic effect is enhanced. Therefore, the fasudil may decrease cardiac ischemia and focus on injured Rho-ROCK signal path activity.

Background and Aims: Liver fibrosis has been recognized as a significant risk factor for short-term outcomes after hepatectomy. Magnetic resonance elastography (MRE) showed higher diagnostic performance in staging liver fibrosis than other elastography modalities. This study aimed to assess the accuracy of predicting postoperative complications in patients with malignant liver tumors using liver stiffness measurement (LSM) by MRE. Methods: After a systematic review of the relevant studies, the sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve (AUC) for the diagnosis of postoperative complications were pooled using bivariate meta-analysis. Meanwhile, the pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the effect. Heterogeneity was explored by sensitivity analysis, univariate meta-regression, and subgroup analysis. The potential publication bias was evaluated by the Deek’s funnel plot test. Results: Eight studies comprising a total of 1,154 patients that predicted postoperative outcomes as their purpose were ultimately included in the quantitative analysis. The pooled results of the meta-analysis revealed that the pooled sensitivity, specificity, and AUC were 78% (95% CI: 69–85%, Higgins’s inconsistency index [I2] = 43.00), 75% (95% CI: 70–80%, Higgins’s inconsistency index [I2] = 72.53), and 0.83 (95% CI: 0.80–0.86), respectively. Preoperative LSM by MRE was significantly associated with the development of overall postoperative outcomes (OR 1.78, 95% CI: 1.49–2.08). Univariate meta-regression showed that advanced fibrosis stage (≥F3), HCC patient proportion and cut-off value significantly influenced the heterogeneity of the included studies. The AUC of several novel prediction models based on LSM by MRE ranged from 0.818 to 0.911. Conclusions: In conclusion, liver stiffness measured by MRE was a significant predictor of postoperative outcomes in patients undergoing liver resection. Future studies could focus on setting a prognostic model integrated with LSM by MRE in distinguishing patients at high risk of posthepatectomy complications.

Deep learning has been widely applied to intelligent fault diagnosis of rotating machines. In particular, convolutional neural network (CNN) improves the accuracy of diagnosis due to automatic feature extraction ability. However, CNN cannot make full use of the temporal information of the input signals. In order to overcome the above weaknesses, a new depth diagnositic framework called two stream convolution neural network with temporal information(TITSCNN) is proposed for bearing fault diagnosis. First, we obtain tempory signal through the difference of data points in the input signal. Next, tempory signal and original signal are used as input of two CNN branches respectively. Then, an attention mechanism is used to aggregate the features and assign weights to the features extrated by CNN adaptively. Finally, the learned high-level representations are fed into full connect layer to perform fault diagnosis. Experiments are conducted and the results showed that TITSCNN has higher accuracy compared to state-of-the-art methods. Further, experimental results demonstrated that TITSCNN has excellent noise immunity and transformation performance.