Seerupkorsholm0822
The average distance error and mean squared error are the most frequently used performance metrics, in 14 and 17 publications, respectively. The time gains were considerable, going from hours or minutes for purely FEM-based simulations to milliseconds, when using ML.
ML algorithms can be used to accelerate FEM-based biomechanical simulations of anatomical structures, possibly reaching real-time responses. Fast and real-time simulations of anatomical structures, generated with ML algorithms, can help to reduce the time required by FEM-based simulations and accelerate their adoption in the clinical practice.
ML algorithms can be used to accelerate FEM-based biomechanical simulations of anatomical structures, possibly reaching real-time responses. Fast and real-time simulations of anatomical structures, generated with ML algorithms, can help to reduce the time required by FEM-based simulations and accelerate their adoption in the clinical practice.
Diacylglycerols as a fat substitute in meat products is a growing area of interest. This study was conducted to analyze the digestion rate, digestion extent, and changes in interfacial properties of lard, glycerolized lard (GL), and purified GL (PGL) in an emulsions system by pH-stat in vitro digestion.
PGL had significantly higher hydrolysis rate and final digestion extent than lard (P ≤ 0.05) during in vitro digestion. The analysis on diameter variations of lard, GL, and PGL during digestion indicated that the surface- and volume-weighted mean particle diameters of all samples had the same variation trend, but variation degree was different. Concurrently, the ζ-potential analysis of the lard, GL, and PGL during the digestion process showed that the absolute values of the ζ-potentials of the three types of lipids increased at first and subsequently decreased. The microstructure changes results for lard, GL, and PGL showed there was no obvious flocculation, and the particle size of lard throughout the digestion process was larger than that of GL and PGL.
This study showed that lard-based diacylglycerols had high digestibility characteristics and could be applied as a functional lipid in meat products to improve human health. © 2020 Society of Chemical Industry.
This study showed that lard-based diacylglycerols had high digestibility characteristics and could be applied as a functional lipid in meat products to improve human health. © 2020 Society of Chemical Industry.Long noncoding RNAs (lncRNAs) have been found to play essential roles in the occurrence and development of multiple human cancers. Accumulating evidence has shown that LINC00473, an oncogenic lncRNA, is upregulated in various human malignancies and related to poor clinical outcomes. Besides, LINC00473 overexpression can promote cell proliferation, migration, and invasion through multiple potential mechanisms, indicating that it may serve as a novel prognostic biomarker and therapeutic target for human cancers. Here, we reviewed the biological functions, molecular mechanisms, and clinical implications of LINC00473 in human cancers.
Gracilibacillus alcaliphilus SK51.001, a strain that produces β-CGTase (β-cyclodextrin glucanotransferase) (EC 2.4.1.19), was screened and isolated from Sudanese soil. The objective of this study was to sequence and characterize the β-CGTase gene from G. Talabostat alcaliphilus SK51.001.
According to 16S rRNA analysis of the strain and its morphological shape, it was identified as G. alcaliphilus. The β-CGTase gene was successfully cloned, sequenced, and expressed in Escherichia coli BL21. This gene showed 706 amino acid residues including 33 amino acids as a signal peptide. The active site residues of G. alcaliphilus SK51.001CGTase were described using enzyme modeling and docking with the products. The estimated molecular mass of G. alcaliphilus SK51.001CGTase was approximately 74 kDa as determined by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and the evaluation of the gel filtration showed approximately 85 kDa, which means G. alcaliphilus SK51.001CGTase is a monomer. The optimum temperature and pH of G. alcaliphilus SK51.001CGTase were 60 °C and 7.0 respectively. Gracilibacillus alcaliphilus SK51.001CGTase was comparatively stable at a pH levels between 6.0 and 9.0 and temperatures of 30-50 °C. The activity of G. alcaliphilus SK51.001CGTase was increased by Ni
, and Co
but inhibited by Al
and Fe
. The kinetic parameters of K
and V
were 2068.52 μg mL
and 0.13 μmol mL
min
, respectively.
Gracilibacillus alcaliphilus SK51.001CGTase could hydrolyze soluble starch into α-, β-, and γ-cyclodextrin in a ratio of 2 83 15% respectively. This high ratio production of β-CD could allow the enzyme to be used in β-CD production. © 2020 Society of Chemical Industry.
Gracilibacillus alcaliphilus SK51.001CGTase could hydrolyze soluble starch into α-, β-, and γ-cyclodextrin in a ratio of 2 83 15% respectively. This high ratio production of β-CD could allow the enzyme to be used in β-CD production. © 2020 Society of Chemical Industry.
Pancreas segmentation is a difficult task because of the high intrapatient variability in the shape, size, and location of the organ, as well as the low contrast and small footprint of the CT scan. At present, the U-Net model is likely to lead to the problems of intraclass inconsistency and interclass indistinction in pancreas segmentation. To solve this problem, we improved the contextual and semantic feature information acquisition method of the biomedical image segmentation model (U-Net) based on a convolutional network and proposed an improved segmentation model called the multiscale attention dense residual U-shaped network (MAD-UNet).
There are two aspects considered in this method. First, we adopted dense residual blocks and weighted binary cross-entropy to enhance the semantic features to learn the details of the pancreas. Using such an approach can reduce the effects of intraclass inconsistency. Second, we used an attention mechanism and multiscale convolution to enrich the contextual information and suppress learning in unrelated areas.
