Coronary microcirculatory dysfunction, affecting over half of acute myocardial infarction (AMI) patients, correlates significantly with AMI prognosis. Nicorandil is an effective drug that markedly improves coronary mi...
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Coronary microcirculatory dysfunction, affecting over half of acute myocardial infarction (AMI) patients, correlates significantly with AMI prognosis. Nicorandil is an effective drug that markedly improves coronary microcirculation, but current clinical formulations of Nicorandil exhibit a relatively short half-life and lack cardiac selectivity. We formulated and synthesized a variety of mesoporous silica nanoparticles (MSNs) as a drug carrier for loading and delivering Nicorandil. We performed PEG modification on MSNs to enhance their biocompatibility. The SiO2@PEG showed good serum stability, maintained a uniform spherical structure with a particle size distribution centered within 200 nm and exhibits good dispersibility. SiO2@PEG-Nicorandil showed no significant impact on AC 16 cells' viability at concentrations up to 50 mu g/mL. SiO2@PEG-Nicorandil significantly enhanced the viability of AC16 cells under oxidative stress conditions, while concurrently reducing intracellular levels of reactive oxygen species (ROS) and Ca2+. For the rat coronary microvascular dysfunction model, the SiO2@PEG-Nicorandil group demonstrated a greater decrease in thrombus formation and the expression of inflammatory cytokines, outperforming the Nicorandil group. In vivo imaging revealed that within one hour post-injection of SiO2@PEG-Nicorandil-CY7, a notable increase in CY7 fluorescence intensity was observed in the cardiac region compared to surrounding tissues. Drug concentration measurements demonstrated that Nicorandil maintained a stable concentration in cardiac blood at 48 h in the SiO2@PEG-Nicorandil group. Taken together, SiO2@PEG-Nicorandil had exhibited superior cardiac-targeting capabilities and sustained-release properties. Within a specific concentration range, it demonstrated enhanced therapeutic effects in the treatment of coronary microcirculation disorders in rats when compared to conventional Nicorandil formulations.
In order to study to design a photoelectric intelligent platform based on multifunctional edge computing equipment by using photoelectric detection equipment TC505C, RK-Series Development Kits computing platform and N...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
In order to study to design a photoelectric intelligent platform based on multifunctional edge computing equipment by using photoelectric detection equipment TC505C, RK-Series Development Kits computing platform and Nvidia Jetson *** photoelectric intelligent platform can be used to run multiple target detection algorithms after design and *** as *** of all, after the first stage of the photoelectric intelligent platform is completed, the host computer can establish communication with the photoelectric detection equipment, carry out automatic or manual servo control on the photoelectric detection equipment, switch its visible and infrared field of view and view it in real time through the monitor, and realize simple tracking function through the image processing ***, after the second stage of the photoelectric intelligent platform is built, under the premise of ensuring the normal availability of servo function, a variety of target detection algorithms can be debugged on multifunctional edge computing ***, this paper uses the modular design concept to design, debug and implement the system in stages. Pay attention to the synchronous debugging of hardware and software functions of each module to ensure the stability of each module. Finally completed the design goals of each stage.
LiDAR odometry (LO) has gained popularity in recent years due to accurate depth measurement and robustness to illumination. Typically, the solutions based on scan-to-map matching mainly optimize current pose. To furth...
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LiDAR odometry (LO) has gained popularity in recent years due to accurate depth measurement and robustness to illumination. Typically, the solutions based on scan-to-map matching mainly optimize current pose. To further reduce the accumulated error of pose estimation, the fixed-lag smoothing that optimizes fixed-size poses simultaneously by matching corresponding point features of multiple frames becomes necessary. The integration of fixed-lag smoothing with LO still needs further exploration. In this paper, a general fixed-lag smoothing module is proposed, which can be appended to existing LO framework to improve the consistency of trajectory. Also, a fast scan-to-map matching module based on sparse features is developed to guarantee the real-time performance. Besides, the feature-centric feature management strategy is adopted in both scan-to-map matching and fixed-lag smoothing modules, which makes the proposed LO efficient. On this basis, a hierarchical estimation-based LiDAR odometry is presented, where low-level scan-to-map matching estimates pose of each frame by aligning associated features in the frame and corresponding surrounding map with high efficiency, and high-level fixed-lag smoothing further optimizes keyframe poses in a sliding window by matching associated features among multiple frames with high accuracy. As a result, a fast and accurate pose estimation is achieved, which is verified by experiments on the KITTI dataset, Newer College dataset, and an actual outdoor scenario.
This article confronts the formation control problem for a multirobotic fish system with event-triggered communication mechanism. A 3-D distributed formation control framework is proposed to drive the robotic fish age...
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This article confronts the formation control problem for a multirobotic fish system with event-triggered communication mechanism. A 3-D distributed formation control framework is proposed to drive the robotic fish agents to an anticipated configuration aligning with a moving target. In particular, a consensus-based formation control law is intended to realize the two-stage formation control process. Taking the energy-constrained occasions into consideration, the communication structure and event-triggered protocols are initially tailored. Meanwhile, the Lyapunov function is employed and the globally asymptotic stability of the proposed method is fully demonstrated. Afterwards, making use of the local measurements of triggering times, the unscented Kalman filter is introduced and a novel model-based event-triggered mechanism is put forward to further mitigate otiose communication consumption. Finally, adequate simulations and experiments are carried out to verify the effectiveness and robustness of the proposed scheme. Thereby, the proposed formation control frame offers great potential for future practical marine operations of the underwater multiagent systems.
Calibration is an important premise for vision-guided robot system, especially for precise industrial operations on curved surfaces. Most of existing methods focus on one or partial union of errors including assembly ...
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Calibration is an important premise for vision-guided robot system, especially for precise industrial operations on curved surfaces. Most of existing methods focus on one or partial union of errors including assembly error of the robot, relative pose error between the vision unit and the robot, or installation error of end effector, which is still challenging in practice. To solve this problem, this article proposes a new calibration method based on error correction matrix by which different manifestations of each error is unified. As the nonlinear equations formed by these matrices cannot be solved analytically, a numerical optimization solution based on Lie algebra is presented. Specifically, the matrices acquisition is formulated as the problem of minimizing the sum of distance deviations between actual and ideal tool center points. This problem is then solved by differentiating these matrices with a form of left multiplicative perturbation. In this way, a high precision joint calibration with multisource errors is achieved. The proposed method is verified by simulations and experiments.
This article proposes a novel barrier-based adaptive line-of-sight (ALOS) three-dimensional (3-D) path-following system for an underactuated multijoint robotic fish. The framework of the developed path-following syste...
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This article proposes a novel barrier-based adaptive line-of-sight (ALOS) three-dimensional (3-D) path-following system for an underactuated multijoint robotic fish. The framework of the developed path-following system is established based on a detailed dynamic model, including a barrier-based ALOS guidance strategy, three integrated inner-loop controllers, and a nonlinear disturbance observer (NDOB)-based sideslip angle compensation, which is employed to preserve a reliable tracking under a frequently varying sideslip angle of the robotic fish. First, a barrier-based convergence strategy is proposed to deal with probable along-track error disruption and suppress the error within a manageable range. Meanwhile, an improved adaptive guidance scheme is adopted with an appropriate look-ahead distance. Afterward, a novel NDOB-based sideslip angle compensation is put forward to identify the varying sideslip angle independent of speed estimation. Subsequently, inner-loop controllers are intended for regulation about the controlled references, including a super-twisting sliding-mode control (STSMC)-based speed controller, a global fast terminal sliding-mode control (GFTSMC)-based heading controller, and a GFTSMC-based depth controller. Finally, simulations and experiments with quantitative comparison in 3-D linear and helical path following are presented to verify the effectiveness and robustness of the proposed system. This path-following system provides a solid foundation for future marine autonomous cruising of the underwater multijoint robot.
In this article, a novel robotic penguin equipped with air lubrication system is developed. Through mimicking the agile movements of biological penguins, two degrees of freedom (DOF) wings including heaving and pitchi...
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In this article, a novel robotic penguin equipped with air lubrication system is developed. Through mimicking the agile movements of biological penguins, two degrees of freedom (DOF) wings including heaving and pitching motions, and a buoyancy-driven system for ascending and diving are particularly designed. Meanwhile, a complete 3-D dynamic model is established based on the Morrison equation, and the hydrodynamic parameters are determined with experimental results. Then, taking the bioinspired central pattern generators as the main actuation, the 3-D locomotion performance is discussed. More importantly, inspired by the leaping behavior of penguins, a unique air lubrication system is developed, and the obtained results verify the effectiveness of the mechatronic design. This work will offer valuable insight into the future development and control of next-generation versatile underwater vehicles capitalizing on the air lubrication mechanism.
Pseudo supervision is regarded as the core idea in semi-supervised learning for semantic segmentation, and there is always a tradeoff between utilizing only the high-quality pseudo labels and leveraging all the pseudo...
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