A three-step synthesis strategy for the automatic synthesis of operating procedures in batch processoperations is presented in this paper.The first step is pre-operation which consists of a set of checks that mustbe c...A three-step synthesis strategy for the automatic synthesis of operating procedures in batch processoperations is presented in this paper.The first step is pre-operation which consists of a set of checks that mustbe considered before starting the basic process operation.The second step is operation which is described by a setof basic control instructions.The third step is post-operation described by a set of instructions that must becarried out when the basic process operation is terminated.The three-step synthesis method has been imple-mented as part of a prototype recipe management system.展开更多
BACKGROUND Liver cancer has a high incidence and mortality worldwide,especially in China.Herein,we investigated the therapeutic effect and mechanism of tetrahydrocurcumin against hepatocellular carcinoma(HCC),with a f...BACKGROUND Liver cancer has a high incidence and mortality worldwide,especially in China.Herein,we investigated the therapeutic effect and mechanism of tetrahydrocurcumin against hepatocellular carcinoma(HCC),with a focus on the of phosphoinositide 3-kinases(PI3K)/AKT signaling pathway.AIM To investigate the effects and mechanism of tetrahydrocurcumin in HCC cell lines HepG2 and Huh7.METHODS Using Metascape,we analyzed the potential targets of tetrahydrocurcumin in HCC.Molecular docking validation was performed using SYBYL2.0.Cell Counting Kit-8,wound healing,and transwell assays were performed to evaluate the effects of tetrahydrocurcumin on HepG2 and Huh7 cell migration,invasion,and apoptosis.The expression of PI3K/AKT signaling pathway-related proteins was detected by western blotting.RESULTS Network pharmacology and molecular docking showed that tetrahydrocurcumin has high binding affinity for phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha.In vitro experiments demonstrated that tetrahydrocurcumin suppressed the migration and invasion of liver cancer cells,promoted their apoptosis,and downregulated the expression of p-PI3K,p-AKT,and B cell leukemia/lymphoma 2,while upregulating caspase-3,p53,and B cell leukemia/lymphoma 2 associated X.CONCLUSION In summary,tetrahydrocurcumin suppresses PI3K/AKT signaling,promotes apoptosis,and prevents the migration and invasion of liver cancer cells.展开更多
Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metavers...Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avatar interactive applications, e.g., augmented reality navigation,which consumes intensive computing resources. It is inefficient and impractical for vehicles to process avatar tasks locally. Fortunately, migrating avatar tasks to the nearest roadside units(RSU)or unmanned aerial vehicles(UAV) for execution is a promising solution to decrease computation overhead and reduce task processing latency, while the high mobility of vehicles brings challenges for vehicles to independently perform avatar migration decisions depending on current and future vehicle status. To address these challenges, in this paper, we propose a novel avatar task migration system based on multi-agent deep reinforcement learning(MADRL) to execute immersive vehicular avatar tasks dynamically. Specifically, we first formulate the problem of avatar task migration from vehicles to RSUs/UAVs as a partially observable Markov decision process that can be solved by MADRL algorithms. We then design the multi-agent proximal policy optimization(MAPPO) approach as the MADRL algorithm for the avatar task migration problem. To overcome slow convergence resulting from the curse of dimensionality and non-stationary issues caused by shared parameters in MAPPO, we further propose a transformer-based MAPPO approach via sequential decision-making models for the efficient representation of relationships among agents. Finally, to motivate terrestrial or non-terrestrial edge servers(e.g., RSUs or UAVs) to share computation resources and ensure traceability of the sharing records, we apply smart contracts and blockchain technologies to achieve secure sharing management. Numerical results demonstrate that the proposed approach outperforms the MAPPO approach by around 2% and effectively reduces approximately 20% of the latency of avatar task execution in UAV-assisted vehicular Metaverses.展开更多
文摘A three-step synthesis strategy for the automatic synthesis of operating procedures in batch processoperations is presented in this paper.The first step is pre-operation which consists of a set of checks that mustbe considered before starting the basic process operation.The second step is operation which is described by a setof basic control instructions.The third step is post-operation described by a set of instructions that must becarried out when the basic process operation is terminated.The three-step synthesis method has been imple-mented as part of a prototype recipe management system.
基金the Central Government Guidance Local Science and Technology Development Fund,No.2023JH6/100100021Liaoning Province Education Department Foundation of China,No.JYTMS20231393+2 种基金Scientific Research Project of Liaoning Province Education Department,No.SYYX2019015Science and Technology Fund of Shenyang Medical College,No.20171004,Shenyang Medical College Master’s Science and Technology Innovation Fund,No.Y20220509Liaoning Provincial Department of Education Scientific Research Project,No.LJ212410164032.
文摘BACKGROUND Liver cancer has a high incidence and mortality worldwide,especially in China.Herein,we investigated the therapeutic effect and mechanism of tetrahydrocurcumin against hepatocellular carcinoma(HCC),with a focus on the of phosphoinositide 3-kinases(PI3K)/AKT signaling pathway.AIM To investigate the effects and mechanism of tetrahydrocurcumin in HCC cell lines HepG2 and Huh7.METHODS Using Metascape,we analyzed the potential targets of tetrahydrocurcumin in HCC.Molecular docking validation was performed using SYBYL2.0.Cell Counting Kit-8,wound healing,and transwell assays were performed to evaluate the effects of tetrahydrocurcumin on HepG2 and Huh7 cell migration,invasion,and apoptosis.The expression of PI3K/AKT signaling pathway-related proteins was detected by western blotting.RESULTS Network pharmacology and molecular docking showed that tetrahydrocurcumin has high binding affinity for phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha.In vitro experiments demonstrated that tetrahydrocurcumin suppressed the migration and invasion of liver cancer cells,promoted their apoptosis,and downregulated the expression of p-PI3K,p-AKT,and B cell leukemia/lymphoma 2,while upregulating caspase-3,p53,and B cell leukemia/lymphoma 2 associated X.CONCLUSION In summary,tetrahydrocurcumin suppresses PI3K/AKT signaling,promotes apoptosis,and prevents the migration and invasion of liver cancer cells.
基金supported in part by NSFC (62102099, U22A2054, 62101594)in part by the Pearl River Talent Recruitment Program (2021QN02S643)+9 种基金Guangzhou Basic Research Program (2023A04J1699)in part by the National Research Foundation, SingaporeInfocomm Media Development Authority under its Future Communications Research Development ProgrammeDSO National Laboratories under the AI Singapore Programme under AISG Award No AISG2-RP-2020-019Energy Research Test-Bed and Industry Partnership Funding Initiative, Energy Grid (EG) 2.0 programmeDesCartes and the Campus for Research Excellence and Technological Enterprise (CREATE) programmeMOE Tier 1 under Grant RG87/22in part by the Singapore University of Technology and Design (SUTD) (SRG-ISTD-2021- 165)in part by the SUTD-ZJU IDEA Grant SUTD-ZJU (VP) 202102in part by the Ministry of Education, Singapore, through its SUTD Kickstarter Initiative (SKI 20210204)。
文摘Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avatar interactive applications, e.g., augmented reality navigation,which consumes intensive computing resources. It is inefficient and impractical for vehicles to process avatar tasks locally. Fortunately, migrating avatar tasks to the nearest roadside units(RSU)or unmanned aerial vehicles(UAV) for execution is a promising solution to decrease computation overhead and reduce task processing latency, while the high mobility of vehicles brings challenges for vehicles to independently perform avatar migration decisions depending on current and future vehicle status. To address these challenges, in this paper, we propose a novel avatar task migration system based on multi-agent deep reinforcement learning(MADRL) to execute immersive vehicular avatar tasks dynamically. Specifically, we first formulate the problem of avatar task migration from vehicles to RSUs/UAVs as a partially observable Markov decision process that can be solved by MADRL algorithms. We then design the multi-agent proximal policy optimization(MAPPO) approach as the MADRL algorithm for the avatar task migration problem. To overcome slow convergence resulting from the curse of dimensionality and non-stationary issues caused by shared parameters in MAPPO, we further propose a transformer-based MAPPO approach via sequential decision-making models for the efficient representation of relationships among agents. Finally, to motivate terrestrial or non-terrestrial edge servers(e.g., RSUs or UAVs) to share computation resources and ensure traceability of the sharing records, we apply smart contracts and blockchain technologies to achieve secure sharing management. Numerical results demonstrate that the proposed approach outperforms the MAPPO approach by around 2% and effectively reduces approximately 20% of the latency of avatar task execution in UAV-assisted vehicular Metaverses.
