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Background: Whether machine learning (ML) can assist in the diagnosis of Crohn's disease (CD) and intestinal tuberculosis (ITB) remains to be explored. Methods: We collected clinical data from 241 patients, and 51 parameters were included. Six ML methods were tested, including logistic regression, decision tree, k-nearest neighbor, multinomial NB, multilayer perceptron, and XGBoost. SHAP and LIME were subsequently introduced as interpretability methods. The ML model was tested in a real-world clinical practice and compared with a multidisciplinary team (MDT) meeting. Results: XGBoost displays the best performance among the six ML models. The diagnostic AUROC and the accuracy of XGBoost were 0.946 and 0.884, respectively. The top three clinical features affecting our ML model's result prediction were T-spot, pulmonary tuberculosis, and onset age. The ML model's accuracy, sensitivity, and specificity in clinical practice were 0.860, 0.833, and 0.871, respectively. The agreement rate and kappa coefficient of the ML and MDT methods were 90.7% and 0.780, respectively (P< 0.001). Conclusion: We developed an ML model based on XGBoost. The ML model could provide effective and efficient differential diagnoses of ITB and CD with diagnostic bases. The ML model performs well in real-world clinical practice, and the agreement between the ML model and MDT is strong. [ABSTRACT FROM AUTHOR]

Due to several complex factors such as the type, size, and shape of target object, vision-assisted robot grasping technology still faces serious challenges. In this research, a deep learning-based robot hand vision grasping algorithm was developed considering semi-structural environmental constraints. The proposed algorithm could build a deep learning network on the basis of the desired object, perform object recognition, category classification and position judgment, and complete robot hand-grasping tasks. The obtained experimental results demonstrated that the proposed algorithm effectively solved the problem of recognizing and classifying multi-category objects in a semi-structured environment, improving recognition rate and grasping rate and reducing collision rate. [ABSTRACT FROM AUTHOR]

Xylanase is a novel and safe flour additive that effectively enhances dough properties and baking quality. To explore new sources of xylanase and evaluate its application in bread baking, xylanase from Caldicellulosiruptor owensensis was heterogeneously expressed in Escherichia coli by fusion with Sumo tag. The enzymatic properties of the xylanase SumoXyn and its impact on bread quality were investigated. The xylanase from Caldicellulosiruptor owensensis was efficiently expressed in E.coli and the enzyme was obtained with high purity by simply heating the cell lysate at 75 °C for 30 minutes. Nano DSF analysis showed that the Tm value of this enzyme was 83.5 °C. The optimum pH of the enzyme was 9.0, but it still had more than 60% activity at pH 5-10. Treated in pH 4-10 buffer for 24 h, SumoXyn still had more than 80% residual activity. SumoXyn displayed the highest activity at 80 °C, but it still has 50% of the highest activity at 100 °C, and the residual activity was about 75% after heating at 75 °C for 1 h, indicating that Sumoxyn had good pH stability and thermal stability. Using bagasse xylan as substrate, the Vmax was 2 354.52 μmol/(min·mg), the Kmwas 2.26 mg/mL and the Kcat was 214.68 S-1. Using 200 g high gluten whole wheat flour to make bread, the effects of SumoXyn supplemented with 3 mg, 6 mg, 9 mg, respectively, on the quality of whole wheat bread were investigated. It was found that with the increase of SumoXyn supplemented, the specific volume and elasticity of bread increased, the hardness and chewability decreased, and the quality of whole wheat bread was significantly improved. These findings suggest that SumoXyn has great potential as a flour improver. [ABSTRACT FROM AUTHOR]

Based on the investigation of the welding behavior of the heterogeneous high strength steel under the coupling of multi factors of welding parameters, PLC was used to control the laser welding process, the welding process of HC550/DP780 high strength steel was optimized by orthogonal experiment. The results showed that, the laser power is the most important influence on the weld width, the width and the tensile strength of the HC550/DP780 heterogeneous high strength steel, followed by welding speed and defocusing amount; The optimum welding parameters of HC550/DP780 unequal thickness and high strength steel are A2B2C2, which the laser power is 1200 W, the welding speed is 2000 mm/min, the defocusing amount is −0.5 mm; tensile strength and elongation of HC550/DP780 welding joint under optimized welding parameters are 998.6 MPa and 11.9%, the fracture location in the HC550 base metal heat affected zone, which shows ductile fracture characteristics. Keywords: HC550/DP780, PLC control, Laser welding, Welding process

The effects of welding current and welding speed on the forming, microstructure and mechanical properties of Q890D steel/AZ31 alloy dissimilar metal welded joints were studied, and the mechanism of welding parameters on the interface zone of Q890D steel/AZ31 alloy dissimilar metal welded joints was analyzed. With the increase of welding current, the alpha-Mg grains in weld zone coarsen obviously, the thickness of interfacial layer increases, the unconnected defects decrease, and the crack sensitivity increases. With the increase of welding speed, the alpha-Mg grains in weld zone refine obviously, the thickness of interfacial layer decreases and the local unconnected defects increase. With the increase of welding current or welding speed, the tensile strength of the welded joint increases first and then decreases, when the welding current is 85 A and the welding speed is 45 cm/min, the welded joint has the highest strength and better appearance. The influence of welding current and welding speed on mechanical properties of Q890D steel/AZ31 alloy MIG welded joint is mainly related to the change of welding line energy and microstructure of interface zone. Keywords: Q890D steel/AZ31 alloy, MIG welding, Welding parameters, Microstructure, Mechanical properties

If the appearance of an eco-friendly textile fabric is problematic, the product quality will be substantially deteriorated. Defect measurement is one of the most important quality control measures for eco-friendly textile fabrics. Compared to previously employed manual measurements, the application of image processing technology for the detection of eco-friendly textile defects is characterized by high efficiency and high precision. In this study, the main objectives of textile reinforcement based on texture enhancement are as follows: (1) Summarize the description methods of texture maps in a certain space and a certain frequency and investigate the gray-scale co-occurrence matrix of textile fabrics, which aimed at the characteristics of a unique texture of textile fabrics, the texture of the background caused by noise, and the texture of the defect area. The error between them was analyzed; (2) Apply a scheme based on principal component analysis-non local means to improve the eco-friendly textile quality. The image information used in the calculation process of the neighborhood similarity in nonlocal average filtering algorithm (NLM) includes the problem of an excess amount due to noise, and the NLM method is employed to estimate the parameters. On the other hand, to remove the noise, it is also possible to display the texture image content of the textile fabric, which is more conducive to the defect detection; and (3) Apply a texture-based textile defect measurement method, that is, a class-separable characteristic between non-defective and defect textures, which increases the measurement of the gray matrix characteristics that distinguish the defect regions and improves the correctness of the detected texture. [ABSTRACT FROM AUTHOR]

Background: Helicobacter pylori ( H.pylori ) infection is an important factor in the occurrence of human gastric diseases, but its pathogenic mechanism is not clear. N6-methyladenosine (m6A) is the most prevalent reversible methylation modification in mammalian RNA and it plays a crucial role in controlling many biological processes. However, there are no studies reported that whether H. pylori infection impacts the m6A methylation of stomach. In this study, we measured the overall level changes of m6A methylation of RNA under H. pylori infection through in vitro and in vivo experiment. Methods: The total quantity of m6A was quantified in gastric tissues of clinical patients and C57 mice with H. pylori infection, as well as acute infection model [ H. pylori and GES-1 cells were cocultured for 48 h at a multiplicity of infection (MOI) from of 10:1 to 50:1]. Furthermore, we performed m6A methylation sequencing and RNA-sequencing on the cell model and RNA-sequencing on animal model. Results: Quantitative detection of RNA methylation showed that H. pylori infection group had higher m6A modification level. M6A methylation sequencing identified 2,107 significantly changed m6A methylation peaks, including 1,565 upregulated peaks and 542 downregulated peaks. A total of 2,487 mRNA was upregulated and 1,029 mRNA was downregulated. According to the comprehensive analysis of MeRIP-seq and RNA-seq, we identified 200 hypermethylation and upregulation, 129 hypermethylation but downregulation, 19 hypomethylation and downregulation and 106 hypomethylation but upregulation genes. The GO and KEGG pathway analysis of these differential methylation and regulatory genes revealed a wide range of biological functions. Moreover, combining with mice RNA-seq results, qRT- PCR showed that m6A regulators, METTL3, WTAP, FTO and ALKBH5, has significant difference; Two key genes, PTPN14 and ADAMTS1, had significant difference by qRT- PCR. Conclusion: These findings provide a basis for further investigation of the role of m6A methylation modification in H. pylori -associated gastritis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Li, Lin, Cheng, Chi, Luo, Tang, Zhao, Shu, Liu and Xu.)

This study aimed to identify author, country, institutional, and journal collaborations and assess their impact, along with knowledge base, as well as identify existing trends, and uncover emerging topics related to matrix metalloproteinase and pancreatic-cancer research. A total of 1474 Articles and reviews were obtained from the Web of Science Core Collection and analyzed by Citespace and Vosviewer. CANCER RESEARCH, CLINICAL CANCER RESEARCH, and FRONTIERS IN IMMUNOLOGY are the most influential journals. The three main aspects of research in matrix metalloproteinases-pancreatic cancer-related fields included the pathogenesis mechanism of pancreatic cancer, how matrix metalloproteinases affect the metastasis of pancreatic cancer, and what role matrix metalloproteinases play in pancreatic cancer treatment. Tumor microenvironment, pancreatic stellate cells, drug resistance, and immune cells have recently emerged as research hot spots. In the future, exploring how immune cells affect matrix metalloproteinases and reshape the tumor microenvironment may be the key to curing pancreatic cancer. This study thus offers a comprehensive overview of the matrix metalloproteinases-pancreatic cancer-related field using bibliometrics and visual methods, providing a valuable reference for researchers interested in matrix metalloproteinases-pancreatic cancer., Competing Interests: None., (AJTR Copyright © 2022.)