Wireless capsule endoscopy(WCE)has the potential to fully replace conventional wired counterparts for its low invasiveness.Recent studies have attempted to expand the functions of capsules toward this goal.However,lim...Wireless capsule endoscopy(WCE)has the potential to fully replace conventional wired counterparts for its low invasiveness.Recent studies have attempted to expand the functions of capsules toward this goal.However,limitations in space and energy supply have resulted in the inability to perform multiple diagnostic and treatment tasks using a single capsule.In this study,we developed a dual-functional capsule robot(DFCR)for drug delivery and tissue biopsy based on magnetic torsion spring technology.The delivery module was shown to rotate the push rod with a thrust of 894 mN to release approximately 0.3 mL of semisolid drug.The biopsy module used a built-in blade to cut tissue with a shear stress of 22.87 MPa,producing a sample of approximately 1.8 mm3.Additionally,a five-degree-of-freedom permanent magnet drive system was developed.By adjusting the strength of the unidirectional magnetic field generated by an external magnet,the capsule can be wirelessly controlled to sequentially trigger the two functions.Ex vivo tests on porcine stomachs confirmed the feasibility of the prototype capsule(12 mm in diameter and 45 mm in length)in active movement,medication,and tissue biopsy.The newly developed DFCR further expands the clinical application prospects of WCE robots in minimally invasive surgery.展开更多
Creatinine level in urine is an important biomarker for renal function diseases,such as renal failure,glomerulonephritis,and chronic nephritis.The Au@MIL-101(Fe)was prepared by in situ growth of Au nanoparticles in MI...Creatinine level in urine is an important biomarker for renal function diseases,such as renal failure,glomerulonephritis,and chronic nephritis.The Au@MIL-101(Fe)was prepared by in situ growth of Au nanoparticles in MIL-101(Fe)as a selective SERS substrate.The Au@MIL-101(Fe)offers the great local surface plasmon resonance(SPR)effect due to gold nanoparticles aggre-gation inside metal-organic frameworks.The framework structure could enrich trace target samples and drag them into SPR hot spots.The optimal Au@MIL-101(Fe)composite substrate is used for analyzing creatinine in urine and the limit of detection is down to 0.1μmol/L and a linear relationship is ranging from 1μmol/L to 100μmol/L.展开更多
Autonomous vehicles(AVs)have the potential to enhance road safety,reduce fuel consumption,and alleviate traffic congestion.However,the computational demands of processing large volumes of sensory data for tasks like m...Autonomous vehicles(AVs)have the potential to enhance road safety,reduce fuel consumption,and alleviate traffic congestion.However,the computational demands of processing large volumes of sensory data for tasks like motion planning and trajectory forecasting impose critical challenges on limited onboard resources of AVs.Mobile edge computing(MEC)offers a solution by offloading these tasks to edge servers located in proximity of the vehicles.When AVs traverse remote areas lacking terrestrial infrastructures,low Earth orbit(LEO)satellites can fill this gap by providing edge computing services.In this paper,we propose a microservice-based framework for MEC-enabled hybrid satellite-terrestrial networks to support AVs.By decomposing monolithic applications into microservices deployed in containers,we enable scalable and flexible computing services.We address the challenges of microservice migration due to the mobility of AVs and LEO satellites by formulating a long-term optimization problem aimed at minimizing task and migration delays.An online Lyapunov-based algorithm is developed to solve this problem,reducing the decision space by scheduling periodic migrations and decomposing it into mixed-integer linear programming.Numerical results demonstrate that our proposed algorithm can achieve a nearly optimal results while maintaining a low execution time.展开更多
基金supported by the National Natural Science Foundation of China(No.52105072)Zhejiang Provincial Natural Science Foundation of China(No.LZ24E050004)+2 种基金Jiangsu Provincial Outstanding Youth Program(No.BK20230072)a grant from Suzhou Industrial Foresight and Key Core Technology Project(No.SYC2022044)grants from Jiangsu Qinglan Project and Jiangsu 333 High-level Talents.
文摘Wireless capsule endoscopy(WCE)has the potential to fully replace conventional wired counterparts for its low invasiveness.Recent studies have attempted to expand the functions of capsules toward this goal.However,limitations in space and energy supply have resulted in the inability to perform multiple diagnostic and treatment tasks using a single capsule.In this study,we developed a dual-functional capsule robot(DFCR)for drug delivery and tissue biopsy based on magnetic torsion spring technology.The delivery module was shown to rotate the push rod with a thrust of 894 mN to release approximately 0.3 mL of semisolid drug.The biopsy module used a built-in blade to cut tissue with a shear stress of 22.87 MPa,producing a sample of approximately 1.8 mm3.Additionally,a five-degree-of-freedom permanent magnet drive system was developed.By adjusting the strength of the unidirectional magnetic field generated by an external magnet,the capsule can be wirelessly controlled to sequentially trigger the two functions.Ex vivo tests on porcine stomachs confirmed the feasibility of the prototype capsule(12 mm in diameter and 45 mm in length)in active movement,medication,and tissue biopsy.The newly developed DFCR further expands the clinical application prospects of WCE robots in minimally invasive surgery.
基金We greatly appreciate the support of the National Natural Science Foundation of China(no.21475088)the International Joint Laboratory on Resource Chemistry(IJLRC)+2 种基金the Shanghai Key Laboratory of Rare Earth Functional MaterialsShanghai Engineering Research Center of Green Energy Chemical Engineering(18DZ2254200)the Shanghai Municipal Education Comnfittee Key Laboratory of Molecular Imaging Probes and Sensors.
文摘Creatinine level in urine is an important biomarker for renal function diseases,such as renal failure,glomerulonephritis,and chronic nephritis.The Au@MIL-101(Fe)was prepared by in situ growth of Au nanoparticles in MIL-101(Fe)as a selective SERS substrate.The Au@MIL-101(Fe)offers the great local surface plasmon resonance(SPR)effect due to gold nanoparticles aggre-gation inside metal-organic frameworks.The framework structure could enrich trace target samples and drag them into SPR hot spots.The optimal Au@MIL-101(Fe)composite substrate is used for analyzing creatinine in urine and the limit of detection is down to 0.1μmol/L and a linear relationship is ranging from 1μmol/L to 100μmol/L.
基金supported in part by the National Nature Science Foundation of China under Grant 62271318Shanghai Rising-Star Program under Grant 22QA1406100.
文摘Autonomous vehicles(AVs)have the potential to enhance road safety,reduce fuel consumption,and alleviate traffic congestion.However,the computational demands of processing large volumes of sensory data for tasks like motion planning and trajectory forecasting impose critical challenges on limited onboard resources of AVs.Mobile edge computing(MEC)offers a solution by offloading these tasks to edge servers located in proximity of the vehicles.When AVs traverse remote areas lacking terrestrial infrastructures,low Earth orbit(LEO)satellites can fill this gap by providing edge computing services.In this paper,we propose a microservice-based framework for MEC-enabled hybrid satellite-terrestrial networks to support AVs.By decomposing monolithic applications into microservices deployed in containers,we enable scalable and flexible computing services.We address the challenges of microservice migration due to the mobility of AVs and LEO satellites by formulating a long-term optimization problem aimed at minimizing task and migration delays.An online Lyapunov-based algorithm is developed to solve this problem,reducing the decision space by scheduling periodic migrations and decomposing it into mixed-integer linear programming.Numerical results demonstrate that our proposed algorithm can achieve a nearly optimal results while maintaining a low execution time.
