Learning-based query optimization for multi-probe approximate nearest...
AbstractApproximate nearest neighbor search (ANNS) is a fundamental problem that has attracted widespread attention for decades. Multi-probe ANNS is one of the most important classes of ANNS methods,...
View ArticleFace gear generating grinding residual model based on the normal cutting...
AbstractThe generating grinding method has the characteristics of high machining accuracy and high efficiency. Therefore, it is widely used in the finishing process of the face gear tooth surface. The...
View ArticleFive-axis flank milling error model of a face gear considering the tool tip...
AbstractThe five-axis flank milling process of sculptured surfaces is an intricate process involving time-varying and nonlinear characteristics under the multiphysics coupling effect. The milling force...
View ArticleEngineering Escherichia coli for efficient assembly of heme proteins
AbstractBackgroundHeme proteins, such as hemoglobin, horseradish peroxidase and cytochrome P450 (CYP) enzyme, are highly versatile and have widespread applications in the fields of food, healthcare,...
View ArticleHeterologous expression and characterization of novel GH12 β-glucanase and...
AbstractBackgroundThe combination of cellulase and lytic polysaccharide monooxygenase (LPMO) is known to boost enzymatic saccharification of cellulose. Although the synergy between cellulases (GH5, 6...
View ArticleRecombinant expression of IGF-1 and LR3 IGF-1 fused with xylanase in Pichia...
AbstractInsulin-like growth factor-1 (IGF-1) is a pleiotropic protein hormone and has become an attractive therapeutic target because of its multiple roles in various physiological processes, including...
View ArticleClinical observation and finite element analysis of femoral stable...
Abstract PurposeThis study was designed to compare clinical outcomes of the femoral stable interlocking intramedullary nail (FSIIN) with proximal femoral nail anti-rotation (PFNA) for the treatment...
View ArticleSelective venous sampling in primary hyperparathyroidism caused by ectopic...
AbstractBackgroundAs an invasive technique, selective venous sampling (SVS) is considered a useful method to identify a lesion’s location to increase the success rate of secondary surgery in patients...
View ArticleStudy of the surface generation mechanism and roughness distribution in...
AbstractPrevious models for predicting the surface topography of internal splines do not consider the correlation between the tool and workpiece geometry and the cutter edge wear. In this work,...
View ArticleStudy on electrochemical machining of involute internal spline of Cr-Co-Mo-Ni...
AbstractCr-Co-Mo-Ni high-hardness steel is widely used in critical mechanical transmission components. It has the difficult-to-cut characteristic because of its high hardness and high strength. In the...
View ArticleUnsupervised Deep Transfer Learning Model for Tool Wear States Recognition
AbstractHeavy worn tools can cause severe cutting vibrations, leading to a decrease in the surface quality of the workpiece. It is important to monitor tool states and replace the worn tool in time....
View ArticleExploring the cellulolytic and hemicellulolytic activities of manganese...
AbstractBackgroundA cost-effective pretreatment and saccharification process is a necessary prerequisite for utilizing lignocellulosic biomass (LCB) in biofuel and biomaterials production. Utilizing a...
View ArticleChronobiology discrepancies between patients with acute type a aortic...
AbstractBackgroundThe present study aimed to investigate the differences in chronobiology and prevention between patients with acute type-A aortic dissection (ATAAD) complicated with sleep apnea...
View ArticleDevelopment of an efficient protein expression system in the thermophilic...
AbstractBackgroundThermophilic fungus Myceliophthora thermophila has been widely used in industrial applications due to its ability to produce various enzymes. However, the lack of an efficient protein...
View ArticleA novel necroptosis signature for predicting survival in lung adenocarcinoma
AbstractBackgroundTo explore the necroptosis-related genes (NRGs) signature and its predictive values in lung adenocarcinoma (LUAD).MethodsThe training cohort consisted of tumor samples from The Cancer...
View ArticleSTA-Former: enhancing medical image segmentation with Shrinkage Triplet...
AbstractConvolutional neural networks (CNNs) have found extensive use in medical image segmentation tasks. However, they encounter limitations in capturing long-range semantic interactions. Conversely,...
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Production of cello-oligosaccharides from corncob residue by...
AbstractThe cellulose-rich corncob residue (CCR) is an abundant and renewable agricultural biomass that has been under-exploited. In this study, two strategies were compared for their ability to...
View ArticlePrediction of surface topography in face gear grinding based on dynamic...
AbstractConsidering the influence of manufacturing parameters, precisely predicting the post-grinding tooth surface topography is of great significance for improving transmission performance and...
View ArticleSub-trajectory clustering with deep reinforcement learning
AbstractSub-trajectory clustering is a fundamental problem in many trajectory applications. Existing approaches usually divide the clustering procedure into two phases: segmenting trajectories into...
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