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Research on the Flame Simulation Method Based on the Particle System
Xumin Liu,Zilong Duan,Dawei Qian,Xiaojun Wang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12
In reality, flame is a common fluid scene. In this paper, we simulated flame by using improved particle system and detail the properties and changes of particles in the model. We realized a realistic color change and dynamic flickering flame characteristics. We used texture mapping method to render the flame and used the hierarchical programming structure to provide a simple and practical interactive flame simulation. We also designed and implemented demonstration system of flame simulation. Experiments show that using the flame image generated in this paper can not only satisfy the visual effect but also meet the real-time requirements.
Shu Jiang,Jing Yang,Dawei Qian,Jianming Guo,Er-xin Shang,Jin-ao Duan,Jun Xu 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.2
Ultra performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UPLC/Q-TOF MS)technique combined with MetabolynxTM software was usedfor analysis of the metabolites of quercitrin by the isolatedhuman intestinal bacteria from the human feces. Four metabolitesof quercitrin were detected and tentatively identifiedbased on the characteristics of their protonated ions. Themetabolites were metabolized by four main metabolic pathwaysincluding hydroxylation, demethylation, deglycosylationand ring-cleavage. Quercitrin was metabolized to the hydroxyquercitrinand desmethylquercitrin by themajority of theisolated intestinal bacteria such as Bacteroides sp. 54, and wasdegraded to the deglycosylated product quercetin by rhamnosidaseand further ring-cleavage metabolite 3,4-dihydroxybenzoicacid by the minority of the isolated bacteria such asBacteroides sp. 45. The metabolic pathways and most of themetabolites of quercitrin were reported for the first time.
Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model
( Xibin Jia ),( Chen Qian ),( Zhenghan Yang ),( Hui Xu ),( Xianjun Han ),( Hao Ren ),( Xinru Wu ),( Boyang Ma ),( Dawei Yang ),( Hong Min ) 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.1
Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively.
Yan Xian-Tao,Zhang Ziqi,Wang Yubao,Zhang Wenmiao,Zhang Longfei,Liu Yang,Chen Dawei,Wang Wenqiong,Ma Wenlong,Qian Jian-Ya,Gu Ruixia 한국응용생명화학회 2023 Applied Biological Chemistry (Appl Biol Chem) Vol.66 No.-
The ability of natural plants to treat chronic diseases is closely related to their antioxidant function. Lactic acid bacteria (LAB) fermentation is an effective way to improve the nutritional value, biological activity and flavor of food. This study investigated the pH, titratable acidity, total polysaccharide, total flavone, total saponin, total polyphenol, and antioxidant activity of the FH06 beverage before and after probiotic fermentation. Results: After fermentation, FH06 had lower contents of total polysaccharides, total flavonoids, total saponins and total polyphenols but higher titratable acidity. The antioxidant activity was tested by total antioxidant capacity (FRAP method) and DPPH· scavenging ability. The FRAP value significantly increased after fermentation (P < 0.05), and the maximum increase was observed for Lactobacillus fermentum grx08 at 25.87%. For DPPH· scavenging ability, the value of all fermentations decreased, and L. fermentum grx08 had the smallest reduction at 2.21% (P < 0.05). The results of GC–MS and sensory analysis showed that fermentation eliminated bad flavors, such as grass, cassia and bitterness, and highlighted the fruit aroma and soft sour taste. Conclusion: The FRAP value and sensory flavor of FH06 fermentation by L. fermentum grx08 were significantly improved, indicating its great potential as a functional food with both strong antioxidant activity and good flavor.