The present study was designed to characterize the chemical constituents of Guge Fengtong Tablet(GGFTT).Based on the chromatographic retention behavior,fragmentation pathways of chemical components and the published l...The present study was designed to characterize the chemical constituents of Guge Fengtong Tablet(GGFTT).Based on the chromatographic retention behavior,fragmentation pathways of chemical components and the published literatures,a diagnostic ion filtering strategy with electrospray ionization quadrupole time-of-flight tandem mass spectrometry(HPLC-ESI-Q-TOF/MS) was established to identify the multiple bioactive constituents of GGFTT.The rapid identification of forty-seven components,including 18 phenolic acids,8 saponins,14 gingerol-related compounds,and 7 diarylhepatonoids,was accomplished using this newly developed method.The coupling of HPLC-ESI-Q-TOF/MS with the diagnostic ion filtering strategy was useful and efficient for the in-depth structural elucidation of chemical compounds of GGFTT.展开更多
Fiber-reinforced composites are an ideal material for the lightweight design of aerospace structures. Especially in recent years, with the rapid development of composite additive manufacturing technology, the design o...Fiber-reinforced composites are an ideal material for the lightweight design of aerospace structures. Especially in recent years, with the rapid development of composite additive manufacturing technology, the design optimization of variable stiffness of fiber-reinforced composite laminates has attracted widespread attention from scholars and industry. In these aerospace composite structures, numerous cutout panels and shells serve as access points for maintaining electrical, fuel, and hydraulic systems. The traditional fiber-reinforced composite laminate subtractive drilling manufacturing inevitably faces the problems of interlayer delamination, fiber fracture, and burr of the laminate. Continuous fiber additive manufacturing technology offers the potential for integrated design optimization and manufacturing with high structural performance. Considering the integration of design and manufacturability in continuous fiber additive manufacturing, the paper proposes linear and nonlinear filtering strategies based on the Normal Distribution Fiber Optimization (NDFO) material interpolation scheme to overcome the challenge of discrete fiber optimization results, which are difficult to apply directly to continuous fiber additive manufacturing. With minimizing structural compliance as the objective function, the proposed approach provides a strategy to achieve continuity of discrete fiber paths in the variable stiffness design optimization of composite laminates with regular and irregular holes. In the variable stiffness design optimization model, the number of candidate fiber laying angles in the NDFO material interpolation scheme is considered as design variable. The sensitivity information of structural compliance with respect to the number of candidate fiber laying angles is obtained using the analytical sensitivity analysis method. Based on the proposed variable stiffness design optimization method for complex perforated composite laminates, the numerical examples consider the variable stiffness design optimization of typical non-perforated and perforated composite laminates with circular, square, and irregular holes, and systematically discuss the number of candidate discrete fiber laying angles, discrete fiber continuous filtering strategies, and filter radius on structural compliance, continuity, and manufacturability. The optimized discrete fiber angles of variable stiffness laminates are converted into continuous fiber laying paths using a streamlined process for continuous fiber additive manufacturing. Meanwhile, the optimized non-perforated and perforated MBB beams after discrete fiber continuous treatment, are manufactured using continuous fiber co-extrusion additive manufacturing technology to verify the effectiveness of the variable stiffness fiber optimization framework proposed in this paper.展开更多
Eleutherococcus sessiliflorus fruit(ESF),a wild botanical resource with hypoglycemic and hypolipidemic potential,serves as a promising natural source for developingα-glucosidase(α-Glu)and pancreatic lipase(PL)inhibi...Eleutherococcus sessiliflorus fruit(ESF),a wild botanical resource with hypoglycemic and hypolipidemic potential,serves as a promising natural source for developingα-glucosidase(α-Glu)and pancreatic lipase(PL)inhibitors to manage metabolic disorders,primarily in nutraceutical and functional food.An integrated strategy was devel-oped for the rapid screening ofα-Glu and PL inhibitors from ESF in this study.Firstly,comprehensive annotation of 90 ESF compounds via mass defect filtering(MDF),diagnostic product ions(DPIs),neutral loss(NLs),and database matching analysis.Secondly,affinity ultrafiltration(AUF)coupled with UHPLC-Q-Orbitrap HRMS screened 28 potentialα-Glu and 24 potential PL inhibitors.Following this,molecular docking simulations were performed to prioritize candidate inhibitors based on computational criteria,including a binding energy threshold of less than6.0 kcal/mol and an analysis of key interactions,such as hydrogen bonds.Finally,five main compounds(20,41,48,73,76)were selected as the most promising candidates for further evaluation of enzymatic activity and content determination in ESF.Among them,chiisanoside and chlorogenic acid demon-strated dual inhibitory activity against bothα-Glu(IC_(50)=0.89±0.16 and 1.19±0.03 mg/mL)and PL(IC_(50)=1.14±0.21 and 1.41±0.02 mg/mL),and were also quantified as abundant compounds in ESF.By establishing an integrative strategy that links phytochemical analysis to bioactive compound screening,this study elucidated the hypoglycemic and hypolipidemic potential of ESF,thereby promoting its development as a functional food resource.展开更多
The skyline-join operator, as an important variant of skylines, plays an important role in multi-criteria decision making problems. However, as the data scale increases, previous methods of skyline-join queries cannot...The skyline-join operator, as an important variant of skylines, plays an important role in multi-criteria decision making problems. However, as the data scale increases, previous methods of skyline-join queries cannot be applied to new applications. Therefore, in this paper, it is the first attempt to propose a scalable method to process skyline-join queries in distributed databases. First, a tailored distributed framework is presented to facilitate the computation of skyline-join queries. Second, the distributed skyline-join query algorithm （DSJQ） is designed to process skyline-join queries. DSJQ contains two phases. In the first phase, two filtering strategies are used to filter out unpromising tuples from the original tables. The remaining tuples are transmitted to the corresponding data nodes according a partition function, which can guarantee that the tuples with the same join value are transferred to the same node. In the second phase, we design a scheduling plan based on rotations to calculate the final skyline-join result. The scheduling plan can ensure that calculations are equally assigned to all the data nodes, and the calculations on each data node can be processed in parallel without creating a bottleneck node. Finally, the effectiveness of DSJQ is evaluated through a series of experiments.展开更多
基金supported by a project of the National Science&Technology Pillar Program during the Twelfth Five-year Plan Period(No.2012BAI29B07)the National Natural Science Foundation of China(No.81202898)
文摘The present study was designed to characterize the chemical constituents of Guge Fengtong Tablet(GGFTT).Based on the chromatographic retention behavior,fragmentation pathways of chemical components and the published literatures,a diagnostic ion filtering strategy with electrospray ionization quadrupole time-of-flight tandem mass spectrometry(HPLC-ESI-Q-TOF/MS) was established to identify the multiple bioactive constituents of GGFTT.The rapid identification of forty-seven components,including 18 phenolic acids,8 saponins,14 gingerol-related compounds,and 7 diarylhepatonoids,was accomplished using this newly developed method.The coupling of HPLC-ESI-Q-TOF/MS with the diagnostic ion filtering strategy was useful and efficient for the in-depth structural elucidation of chemical compounds of GGFTT.
基金supports for this research were provided by the National Natural Science Foundation of China(No.12272301,12002278,U1906233)the Guangdong Basic and Applied Basic Research Foundation,China(Nos.2023A1515011970,2024A1515010256)+1 种基金the Dalian City Supports Innovation and Entrepreneurship Projects for High-Level Talents,China(2021RD16)the Key R&D Project of CSCEC,China(No.CSCEC-2020-Z-4).
文摘Fiber-reinforced composites are an ideal material for the lightweight design of aerospace structures. Especially in recent years, with the rapid development of composite additive manufacturing technology, the design optimization of variable stiffness of fiber-reinforced composite laminates has attracted widespread attention from scholars and industry. In these aerospace composite structures, numerous cutout panels and shells serve as access points for maintaining electrical, fuel, and hydraulic systems. The traditional fiber-reinforced composite laminate subtractive drilling manufacturing inevitably faces the problems of interlayer delamination, fiber fracture, and burr of the laminate. Continuous fiber additive manufacturing technology offers the potential for integrated design optimization and manufacturing with high structural performance. Considering the integration of design and manufacturability in continuous fiber additive manufacturing, the paper proposes linear and nonlinear filtering strategies based on the Normal Distribution Fiber Optimization (NDFO) material interpolation scheme to overcome the challenge of discrete fiber optimization results, which are difficult to apply directly to continuous fiber additive manufacturing. With minimizing structural compliance as the objective function, the proposed approach provides a strategy to achieve continuity of discrete fiber paths in the variable stiffness design optimization of composite laminates with regular and irregular holes. In the variable stiffness design optimization model, the number of candidate fiber laying angles in the NDFO material interpolation scheme is considered as design variable. The sensitivity information of structural compliance with respect to the number of candidate fiber laying angles is obtained using the analytical sensitivity analysis method. Based on the proposed variable stiffness design optimization method for complex perforated composite laminates, the numerical examples consider the variable stiffness design optimization of typical non-perforated and perforated composite laminates with circular, square, and irregular holes, and systematically discuss the number of candidate discrete fiber laying angles, discrete fiber continuous filtering strategies, and filter radius on structural compliance, continuity, and manufacturability. The optimized discrete fiber angles of variable stiffness laminates are converted into continuous fiber laying paths using a streamlined process for continuous fiber additive manufacturing. Meanwhile, the optimized non-perforated and perforated MBB beams after discrete fiber continuous treatment, are manufactured using continuous fiber co-extrusion additive manufacturing technology to verify the effectiveness of the variable stiffness fiber optimization framework proposed in this paper.
基金supported by the National Natural Science Foundation of China(Nos.82174235 and 81773694).
文摘Eleutherococcus sessiliflorus fruit(ESF),a wild botanical resource with hypoglycemic and hypolipidemic potential,serves as a promising natural source for developingα-glucosidase(α-Glu)and pancreatic lipase(PL)inhibitors to manage metabolic disorders,primarily in nutraceutical and functional food.An integrated strategy was devel-oped for the rapid screening ofα-Glu and PL inhibitors from ESF in this study.Firstly,comprehensive annotation of 90 ESF compounds via mass defect filtering(MDF),diagnostic product ions(DPIs),neutral loss(NLs),and database matching analysis.Secondly,affinity ultrafiltration(AUF)coupled with UHPLC-Q-Orbitrap HRMS screened 28 potentialα-Glu and 24 potential PL inhibitors.Following this,molecular docking simulations were performed to prioritize candidate inhibitors based on computational criteria,including a binding energy threshold of less than6.0 kcal/mol and an analysis of key interactions,such as hydrogen bonds.Finally,five main compounds(20,41,48,73,76)were selected as the most promising candidates for further evaluation of enzymatic activity and content determination in ESF.Among them,chiisanoside and chlorogenic acid demon-strated dual inhibitory activity against bothα-Glu(IC_(50)=0.89±0.16 and 1.19±0.03 mg/mL)and PL(IC_(50)=1.14±0.21 and 1.41±0.02 mg/mL),and were also quantified as abundant compounds in ESF.By establishing an integrative strategy that links phytochemical analysis to bioactive compound screening,this study elucidated the hypoglycemic and hypolipidemic potential of ESF,thereby promoting its development as a functional food resource.
文摘The skyline-join operator, as an important variant of skylines, plays an important role in multi-criteria decision making problems. However, as the data scale increases, previous methods of skyline-join queries cannot be applied to new applications. Therefore, in this paper, it is the first attempt to propose a scalable method to process skyline-join queries in distributed databases. First, a tailored distributed framework is presented to facilitate the computation of skyline-join queries. Second, the distributed skyline-join query algorithm （DSJQ） is designed to process skyline-join queries. DSJQ contains two phases. In the first phase, two filtering strategies are used to filter out unpromising tuples from the original tables. The remaining tuples are transmitted to the corresponding data nodes according a partition function, which can guarantee that the tuples with the same join value are transferred to the same node. In the second phase, we design a scheduling plan based on rotations to calculate the final skyline-join result. The scheduling plan can ensure that calculations are equally assigned to all the data nodes, and the calculations on each data node can be processed in parallel without creating a bottleneck node. Finally, the effectiveness of DSJQ is evaluated through a series of experiments.
