Transferable adversarial examples highlight the vulnerability of deep neural networks (DNNs) to imperceptible perturbations across various real-world applications. While there have been notable advancements in untargeted transferable attacks, targeted attacks remain a significant challenge. In this work, we focus on generative approaches for attacks. Current reducing overfitting surrogate models and source data domain, but they often overlook importance enhancing transferability through...

Acoustic holography (AH) provides a promising technique for arbitrary acoustic field reconstruction, supporting many applications like robotic micro-nano manipulation, neuromodulation, volumetric imaging, and virtual reality. In AH, three-dimensional (3D) fields quantified with complex-valued pressures are reconstructed by virtue of two-dimensional (2D) holograms. Phase-only hologram (POH) is recently regarded as an energy-efficient way which typically implemented dynamically programmable...

Depressive disorder is the leading cause of disability and suicidality worldwide. Metabolites are considered indicators regulators depression. However, pathophysiology prefrontal cortex (PFC) in depression remains unclear.A chronic unpredictable mild stress (CUMS) model a maturation rodent was used to investigate metabolic changes PFC. Eighteen male Sprague-Dawley rats were randomly divided into CUMS control groups. The sucrose preference test (SPT) forced swimming (FST) employed evaluate...

Background: Chaihu-Shugan-San is a classical prescription to treat depression. According the traditional Chinese medicine (TCM) principle, 2 decomposed recipes in exert synergistic effects, including Shu Gan (stagnated Gan-Qi dispersion) and Rou (Gan nourishment alleviate pain). However, specific mechanism of on depression its compatibility rule remain be explored. Objective: We aimed explore anti-depression mechanisms analyze advantage TCM Chaihu-Shugan-San. Methods: The chronic...

Corticosteroids are widely used for the treatment of acute central nervous system injury. However, their bioactivity is limited by short half-life. Sustained release glucocorticoids can prolong efficacy and inhibit scar formation at site nerve In present study, we wrapped anastomotic ends rat sciatic with a methylprednisolone sustained-release membrane. Compared methylprednisone alone or microspheres, microsphere membrane reduced tissue adhesion inhibited anastomosis. It also increased...

In order to effectively improve the power quality and utilize railway regenerative braking energy in high-speed traction supply system, this paper adopts Modular Multilevel Converter type Railway Power Conditioner (MMC-RPC) with distributed super-capacitor (SC) storage (ES) scheme. Firstly, single-phase MMC mathematical model is established, compensation characteristics of MMC-RPC are derived. Secondly, Virtual Synchronous Generator (VSG) control strategy adopted provide inertial support....

Brain-Computer Interface (BCI) has gained remarkable prominence in biomedical community. While BCI holds vast potential across diverse domains, the implantation of neural electrodes poses multifaceted challenges to fully explore power BCI. Conventional rigid face problem foreign body reaction induced by mechanical mismatch biological tissue, while flexible electrodes, though more preferential, lack controllability during implantation. Researchers have explored various strategies, from...

Nanorobotic manipulation inside Scanning Electron Microscope (SEM) is widely used in nanomaterial characterization and assembly tasks. However, tedious time-consuming hardware regulations, like axis alignment, are still critical mandatory to keep the functionality of nanorobot systems. This paper proposes a novel zooming-free hand-eye self-calibration method for nanorobotic SEM circumvent regulation problem, which applicable wide range system configurations. The relationship calibration...

Selective contactless manipulation of organisms with intrinsic mobility from heterogeneous mixture is essential for biomedical engineering and microbiology. Acoustic manipulation, compared to its optical, magnetic, electrostatic counterparts, provides superior bio-compatibility additive-free properties. In this study, we present an acoustic system capable selectively trapping, translating, rotating, orienting individual in-Petri dish organism using a phased transducer array microscope, by...

The surface cleaning of photovoltaic panel is an urgent industrial problem, for not only determining power conversion efficiency, but also possibly leading to permanent damage panels. Cleaning robot the most competitive solution this problem. reported robots can be classified into three categories, on-board mobile robot, wall-mounted robots, and vehicle-mounted robots. Regarding large scale cleaning, a must equipped with agile ability move across panels clean different arrays. On-board have...

Despite of the promising advancements in last decade, majority scanning electron microscope (SEM)-based nanomanipulation tasks remain manually performed. Even automated tasks, human intervention is required, at least during task preparatory stage, where both object interest and robot end-effector are adequately enclosed field view (FOV) SEM moderate magnification. This paper proposes a fully visual servo control method for workspace navigation nanorobot that actively maintains position...

Acoustic holography (AH) is a promising technique for precise noncontact micro-nano robotic manipulation. It encodes three-dimensional (3D) acoustic field acting as virtual end-effector into two-dimensional (2D) hologram, whereby the desired reconstruction made possible. Most traditional methods to implement AH, such 3D printed holographic lens and phased array of transducers (PAT), have limitations dynamic dexterous Furthermore, existing iterative optimization algorithms calculate 2D...

The paper investigates the problem of visual tracking on moving object in nanomanipulation inside scanning electron microscope (SEM). Image noise is a primary concern when dealing with problem, which includes inherent statistical and that induced by motion distortion. A method SEM image denoising algorithm proposed. well incorporated robot innovatively leveraging Jacobian matrix technique. denosing removes provides more realistic image. On basis, template matching utilized to achieve plane....

In order to improve the performance of target detection model based on convolutional neural network, and make bounding box representing object location contain as complete original information possible, this paper improved loss function regression part YOLOv3 network. A new metric, Asymmetric Intersection over Union (AIoU), is proposed measure similarity between prediction truth. Theoretical analysis shows that AIoU can better guide direction after introducing asymmetry. Experiments show...

Phase-only acoustic holography is a fundamental and promising technique for contactless robotic manipulation. Through independently controlling phase-only hologram (POH) of phase array transducers (PAT) simultaneously driving each channel by sophisticated circuits, certain field dynamically generated in working medium (e.g., air, water or biological tissues) at moment. The profile PAT required precisely as per arbitrary expected the sake versatile stable However, most conventional methods...

Ultrahigh voltage lines are playing an important role for today's power transmission. The electromagnetic pollution produced by these ultrahigh is one of the main environmental problems. Taking 500kv transmission and transformation in Shangcai-Henan as example, radiation 500KV has been tested this work. An algorithm using curve-fitting also proposed improving data precision. Simulation results have shown effectiveness algorithm.

Ultrafast acoustic holography (AH) enabling dynamic contactless micro-nano robotic manipulation has recently attracted wide attention. As an advanced technique, AH encodes specific three-dimensional (3D) field on a two-dimensional (2D) hologram whereby realizing holographic reconstruction with high fidelity. However, current approaches face the limitation of encoding time, accuracy and flexibility, thus, leading to inapplicability for precise manipulation. Here, we develop approach overcome...