Objectives
To build and evaluate a deep learning radiomics nomogram (DLRN) for preoperative prediction of lung metastasis (LM) status in patients with soft tissue sarcoma (STS).
Methods
In total, 242 ...patients with STS (training set, n=116; external validation set, n=126) who underwent magnetic resonance imaging were retrospectively enrolled in this study. We identified independent predictors for LM-status and evaluated their performance. The minimum redundancy maximum relevance (mRMR) method and least absolute shrinkage and selection operator (LASSO) algorithm were adopted to screen radiomics features. Logistic regression, decision tree, random forest, support vector machine (SVM), and adaptive boosting classifiers were compared for their ability to predict LM. To overcome the imbalanced distribution of the LM data, we retrained each machine-learning classifier using the synthetic minority over-sampling technique (SMOTE). A DLRN combining the independent clinical predictors with the best performing radiomics prediction signature (mRMR+LASSO+SVM+SMOTE) was established. Area under the receiver operating characteristics curve (AUC), calibration curves, and decision curve analysis (DCA) were used to assess the performance and clinical applicability of the models.
Result
Comparisons of the AUC values applied to the external validation set revealed that the DLRN model (AUC=0.833) showed better prediction performance than the clinical model (AUC=0.664) and radiomics model (AUC=0.799). The calibration curves indicated good calibration efficiency and the DCA showed the DLRN model to have greater clinical applicability than the other two models.
Conclusion
The DLRN was shown to be an accurate and efficient tool for LM-status prediction in STS.
The treatment of glioblastoma has been a big challenge for decades in the oncological field mainly owing to its unique biological characteristics, such as high heterogeneity, diffusing invasiveness, ...and capacity to resist conventional therapies. The mRNA-based therapeutic modality holds many superior features, including easy manipulation, rapid and transient expression, and adaptive convertibility without mutagenesis, which are suitable for dealing with glioblastoma's complexity and variability. Synthetic anticancer mRNAs carried by various vehicles act as the ultimate attackers of the tumor across biological barriers. In this modality, specifically targeted glioblastoma treatment can be guaranteed by adding targeting molecules at certain levels. The choice of mRNA-bearing vehicle and administration method is a fully patient-tailored selection. This review covers the advantages and possible limitations of mRNA-based gene therapy, the
in vitro
synthesis of mRNA, the feasible methods for synthetic mRNA delivery and clinical therapeutic prospects of mRNA-based gene therapy for glioblastoma.
In this paper, by adding melamine and bentonite to the polyurethane (PU) foam, a porous composite material with heavy metal adsorption properties is obtained. The cell size of the PU porous composite ...foam was affected by the addition of melamine and bentonite particles. With the increase of particles amount, the cell size decreased. The compression performance of the composite foam increased by 54% after adding 8 wt% melamine particles. The optimal adsorption conditions such as pH, adsorption time, and initial concentration of PU porous composites were also explored. Result shows that porous composite foam had a good removal effect on Pb2+. Moreover, the Langmuir model, the Freundlich model, and the adsorption kinetic model are used to evaluate the adsorption capacity of the porous composite foam. It is of great significance to obtain porous composite with good heavy‐metal adsorption and high‐strength performance.
The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations ...management perspective.
The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem. Thus, doctors' work efficiency can be improved, patients' waiting time can be effectively reduced, and patients can be provided with more satisfactory medical services.
Outpatient service is divided into examination and diagnosis service according to lean thinking. CPLEX is used to solve the integer linear programming problem of outpatient service allocation, and the maximum working time is minimized by constraint solution.
A variety of values are taken for the relevant parameters of the outpatient service, using CPLEX to obtain the minimum and maximum working time corresponding to each situation. Compared with no refinement stratification, the work efficiency of senior doctors has increased by an average of 25%. In comparison, the patient flow of associate senior doctors has increased by an average of 50%.
In this paper, the method of outpatient capacity planning improves the work efficiency of senior doctors and provides outpatient services for more patients in need; At the same time, it indirectly reduces the waiting time of patients receiving outpatient services from senior doctors. And the patient flow of the associate senior doctors is improved, which helps to improve doctors' technical level and solve the problem of shortage of medical resources.
Wild plants represent a potential source of urban landscape trees.
Dcne. is a member of the
Lindl. Genus, which belongs to family Rosaceae Juss. It has great ornamental value. It can contribute to ...urban color foliage and fruit species. However, the most effective fertilizer application strategy required for its cultivation is unknown. Therefore, we conducted an orthogonal experiment to investigate the fertilizer type and level (pure nitrogen) using ten experimental groups, including an untreated control group. Pot experiments were used to determine the growth indices of seedlings, including plant height, basal diameter, and chlorophyll content post-fertilizer treatment. This study explored the most appropriate fertiler application model for the growth of
seedlings. The results revealed that enhanced seedling growth depended on the type and amount of fertilizer used, and their interaction. Fertilizer application increased the plant height by 2.67 cm to 12.26 cm, basal diameter by 0.39 cm to 0.75 cm, and chlorophyll content by 5.66 to 19.86. Among the different types of fertilizer, organic fertilizer increased the plant height by 0.42 cm to 9.59 cm and basal diameter by 0.01 cm to 0.05 cm, compared with the control group. Organic fertilizer had the maximum effect on seedling growth, especially at medium levels. The total growth of basal diameter and chlorophyll content was 1.58 ± 0.04 cm and 39.53 ± 2.37, respectively. Basal diameter is the most critical index in seedling reproduction . The study results suggest that the application of 4.06 g of organic fertilizer per plant was the most effective, and served as a basis for further field trials.
To prospectively investigate the relationships between serum tissue inhibitor metalloproteinase-1 (TIMP-1) and clinical outcomes in patients with acute ischemic stroke.
We derived data from the China ...Antihypertensive Trial in Acute Ischemic Stroke. Baseline serum TIMP-1 concentrations were measured in 3,342 participants. The primary outcome was the combination of death and major disability (modified Rankin Scale score ≥3) at 3 months after ischemic stroke, and secondary outcomes included major disability, death, and vascular events.
A total of 843 participants (25.2%) experienced major disability or died within 3 months. After adjustment for age, sex, admission NIH Stroke Scale score, and other important covariates, odds ratios or hazard ratios (95% confidence intervals) of 1-SD (0.17 ng/mL) higher log-TIMP-1 were 1.17 (1.06-1.29) for the primary outcome, 1.13 (1.02-1.25) for major disability, 1.49 (1.19-1.87) for death, and 1.34 (1.11-1.62) for the composite outcome of death and vascular events. The addition of serum TIMP-1 to conventional risk factors model significantly improved risk prediction of the primary outcome (net reclassification index 9.0%,
= 0.02; integrated discrimination improvement 0.2%,
= 0.03). Participants with both higher TIMP-1 and matrix metalloproteinase-9 levels simultaneously had the highest risk of all study outcomes.
Higher TIMP-1 levels were associated with increased risk of mortality and major disability after acute ischemic stroke. Our findings provided evidence supporting the important prognostic role of extracellular matrix biomarkers after acute ischemic stroke.
Rhomboid domain containing 1 (RHBDD1) gene, which was reported to be upregulated in human several cancer, was associated with carcinogenesis. However, the potential biological function of RHBDD1 in ...non-small cell lung cancer (NSCLC) carcinogenesis remains still not known. In this study, we aimed to investigate the role of RHBDD1 and its underlying molecular mechanism in NSCLC. The gene RHBDD1 expression was detected in NSCLC tissues and matched nontumor adjacent tissues. In vitro experiments, NSCLC cell lines (A549, H1650, H358 and H1299) were performed to investigate the biological function of RHBDD1 and its molecular mechanism. Our findings showed that the mRNA and protein expression levels of RHBDD1 were notably increased in human NSCLC tissues and cell lines, especially in A549 and H1650 cells. Moreover, silencing of RHBDD1 by RNAi notably inhibited NSCLC cell proliferation and increased cell apoptosis. Caspase-3/7 activity was remarkably increased in cells treated with RHBDD1 siRNA. RHBDD1 silencing notably reduced the number of invading cells. Furthermore, our findings showed that silencing of RHBDD1 notably inhibited the mRNA and protein expression levels of ZEB1 in A549 and H1650 cells. The phosphorylation of PI3K and AKT was also remarkably decreased by RHBDD1 silencing. ZEB1/AKT overexpression reversed the effect of RHBDD1 silencing on NSCLC cell growth and invasion. Taken together, our findings indicated that RHBDD1 silencing inhibited cell growth and invasion of non-small cell lung cancer by mediating ZEB1/PI3K/AKT signaling pathway, implying that RHBDD1 was possibly a potential diagnostic and therapeutic target for NSCLC treatment.
Dialogue systems have attracted growing research interests due to its widespread applications in various domains. However, most research work focus on sentence-level intent recognition to interpret ...user utterances in dialogue systems, while the comprehension of the whole documents has not attracted sufficient attention. In this paper, we propose DialGNN, a heterogeneous graph neural network framework tailored for the problem of dialogue classification which takes the entire dialogue as input. Specifically, a heterogeneous graph is constructed with nodes in different levels of semantic granularity. The graph framework allows flexible integration of various pre-trained language representation models, such as BERT and its variants, which endows DialGNN with powerful text representational capabilities. DialGNN outperforms on CM and ECS datasets, which demonstrates robustness and the effectiveness. Specifically, our model achieves a notable enhancement in performance, optimizing the classification of document-level dialogue text. The implementation of DialGNN and related data are shared through
https://github.com/821code/DialGNN
.
Display omitted
•Multi-scaled, hierarchical membrane has been fabricated for separation and photocatalysis by electrospraying and in-situ growth.•This multi-scaled, hierarchical structure endows the ...membrane with superhydrophilicity and underwater superoleophobicity.•The prepared membrane indicated an excellent photocatalytic ability for organic pollutant.•The membrane exhibits high permeate flux for oil/water separation.
Increasing oily wastewater is produced by various industrial, various oil-water separation technologies and materials have been developed to solve this issue. A facile method is proposed to build multi-scaled and hierarchical membranes with efficiently oil/water separation and photocatalysis. The multi-scaled, hierarchical membrane is fabricated by a hydrophilic polyacrylonitrile (PAN) electrospinning nanofibrous and PAN/TiO2 electrospraying spheres, then the polydopamine (PDA) decorated membrane via in-situ growth. This multi-scaled, hierarchical structure endows the membrane with superhydrophilicity (water contact angle ∼ 0°), and underwater superoleophobicity (oil contact angle ∼152°). And the multi-scaled, hierarchical membrane shows superior water permeation and hydrophilic properties than pure PAN membranes. In addition, the membrane indicates an excellent photocatalytic ability for organic pollutant (∼98 %). And after 5 cycles, the water flux still maintains a high level showing good recyclability. This multi-scaled, hierarchical nanofibrous membrane shows very promising application potentials in oil-water separation and photocatalysis.
Display omitted
•Zn2In2S5 shell effectively inhibits oxidation of oxygen vacancies on MoO3-x.•Zn2In2S5 can effectively regulate oxygen defect concentration of MoO3-x.•MoO3-x/Zn2In2S5 heterojunction ...exhibits superior CIP removal and ABR inactivation.•The correlation between pollutant active sites and degradation path was revealed.
Water pollution caused by organic pollutants and water-borne pathogens has posed a serious threat to human health. Herein, a fully encapsulated core–shell MoO3-x@Zn2In2S5 S-scheme heterojunction was constructed for efficient removal of ciprofloxacin (CIP) and disinfection of antibiotic-resistant bacteria (TC-E. coli). The excellent catalytic performance is attributed to the synergistic advantages of optimized oxygen defect concentration, the protection of oxygen vacancy and enhanced photogenerated carrier separation efficiency. The MO@ZIS-15 with optimum defect density can remove 92.6 % of CIP in 120 min and inactivate 7.7 log TC-E. coli in 75 min. Furthermore, the developed MO@ZIS-15 system has excellent anti-anion and organic matter interference ability, and also exhibit good utilization potentiality in practical water. Combining theoretical calculations and liquid chromatography-mass spectrometry (LC-MS), the structure–function correlation between different CIP active sites and degradation pathway are revealed. Toxicity prediction and cytotoxicity experiments demonstrated that photocatalytic treatment can effectively reduce the ecotoxicity of degradation products. This work provideds a novel vision to design high-efficiency plasma-based photocatalysts for the removal of organic contaminants and disinfection of antibiotic-resistant bacteria.
PDF
