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Cyborg and Bionic Systems
Scopus
ISSN 2692-7632 · American Association for the Advancement of Science (AAAS) · 299 artikel di indeks
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Artikel Jurnal
Sensorimotor Integration by Targeted Priming in Muscles with Electromyography-Driven Electro-vibro-feedback in Robot-Assisted Wrist/Hand Rehabilitation after Stroke
Restoring precise muscular control in the poststroke wrist/hand (W/H) demands sensorimotor integration to correct compensatory neuroplasticity. However, current rehabilitation robots inadequately modulate ascending somatosensory pathways from specific muscles. This study developed an…
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Artikel Jurnal
Lamprey-Inspired Amphibious Suction Disc with Hybrid Adhesion Mechanism
Bioinspired adhesives mimicking octopuses, tree frogs, and geckos enable robots to grip and manipulate diverse surfaces. However, most existing systems use a single adhesion mechanism, limiting adaptability and hindering strong, reversible attachment across diverse surface conditions and…
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SimTac: A Physics-Based Simulator for Vision-Based Tactile Sensing with Biomorphic Structures
Tactile sensing in biological organisms is deeply intertwined with morphological form, such as human fingers, cat paws, and elephant trunks, which enables rich and adaptive interactions through a variety of geometrically complex structures. In contrast, vision-based tactile sensors in robotics have…
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A Domain Generalization Method for EEG Based on Domain-Invariant Feature and Data Augmentation
Brain–computer interface (BCI) technology, which controls external devices by directly decoding brain activities, has made important progress and practical applications in recent years in many fields. However, the domain bias issue in cross-domain applications remains a significant challenge in the…
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Brain Extracellular Space: From an Overlooked Dimension to Catalyst of a Novel Neuroscience Paradigm
Despite huge investment, therapies for brain disorders remain largely ineffective in clinical practice. Accumulating evidence indicates that this low translational success is closely linked to the long-standing overlook of the brain extracellular space (ECS) in preclinical research, clinical…
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Magnetic Tensegrity-Enabled Robotic Gripper with Adaptive Energy Barrier for UAV Perching
Equipping unmanned aerial vehicles (UAVs) with bistable robotic grippers allows them to perch on natural and artificial structures, extending mission duration by minimizing energy consumption during stationary operations. However, achieving both compliant triggering and powerful grasping remains a…
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Acoustic Rising Microbubbles for Efficient Liquid Operations
Efficient liquid manipulation is crucial in chemical engineering, biological research, clinical applications, and materials science. Bubbles, such as boiling, rising, and cavitating bubbles, have been widely employed to enhance mixing and mass transfer through their unique hydrodynamic behaviors…
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A Bioinspired Perceptual Sensor for Spatiotemporal Decoding of Haptic and Pain Stimuli in Prostheses
Phantom limb pain, a common sequela in lower-limb amputees, impairs their ability to accurately perceive and distinguish between haptic and pain sensations, thereby hindering residual limb function and reducing rehabilitation efficacy. Although existing prosthetic technologies seek to restore…
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A Hybrid Convolutional, Mamba and Spiking Neural Network Architecture Search for Seizure Prediction
In recent years, deep learning technology has played an increasingly important role in seizure prediction based on electroencephalogram signals. However, the performance of deep learning algorithms is often highly dependent on the design of their neural network architectures; the process of…
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Bio-Inspired Artificial Intelligence Multimorbidity Score for Human–Machine Clinical Risk Stratification
Multimorbidity is strongly associated with mortality, but existing comorbidity indices often generalize poorly across populations because they depend on fixed disease lists and context-specific weights. We developed the large-language-model-based multimorbidity score (LLM-MMS), a prompt-based…
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Optoelectronic Tweezers for Single-Cell Research: Principles, Applications, and Prospects
Single-cell studies offer rich insights into the cellular heterogeneity and function, providing a promising approach for precise diagnostics and personalized treatments. Single-cell research involves initial screening and in-depth analysis. Among available techniques, optoelectronic tweezers (OETs)…
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Enhancing Shape Sensing of Slender Medical Continuum Robot Using Carbon Nanotube Piezoresistive Fiber Bandage
Slender medical continuum robots with flexibility and highly redundant degrees of freedom are widely used in various minimally invasive surgery. However, when interacting with anatomical structures, the continuum robot adopts diverse shapes, posing challenges for operation and control. To achieve…
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Autonomous Microrobots for Spatiotemporally Active Therapeutic Delivery and Controlled Release
The clinical efficacy of many conventional passive drug delivery systems is frequently constrained by their low targeting efficiency, important off-target toxicity, and inadequate capacity for traversing biological barriers. Autonomous microrobots, as miniature intelligent platforms capable of…
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Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI
Steady-state visual evoked potential brain–computer interfaces offer a high-speed communication channel. However, traditional steady-state visual evoked potential paradigms often rely on strong flickering visual stimulation, which can lead to substantial visual fatigue. Moreover, the…
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Decoding the Bone–Eye Axis: Machine Learning for Age-Related Macular Degeneration Risk Prediction
Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss, yet systemic determinants of its risk remain incompletely understood. Bone mineral density (BMD), a marker of skeletal and biological aging, may reflect shared pathways linking systemic and retinal degeneration…
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Energy as a Common Currency for Understanding Embodied Evolution
Unlike living organisms, which persist by balancing energy intake, expenditure, and maintenance, embodied robots are often evaluated primarily by task performance, even when morphology, control, and environment jointly determine what can be sustained over time. This task-centered evaluation…
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Intracortical Microstimulation in Brain–Computer Interfaces: Evoking Perception and Plasticity
Intracortical microstimulation (ICMS), the activation of specific neuronal populations via microelectrodes implanted in the cortex, has emerged as a key technology for invasive brain–computer interfaces (BCIs). This article reviews the technical foundations and functional applications of ICMS…
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A Single-Source Dual-Drive Flexible Knee Assistive Exoskeleton for Elderly Daily Locomotion
The knees, as important parts in daily locomotion, carry the body weight and provide stability and flexibility. With the degradation of muscle and endurance, the elders get weak knee strength, which heavily affects their life quality. To address this issue, a single-source dual-drive flexible knee…
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Deep Generative Model of Macrophage Immune Response for Hepato-intestinal Tumor Therapy Optimization
Digestive tract cancers, including hepatobiliary and gastrointestinal malignancies, remain a major oncological burden globally. Immunotherapy efficacy rates are low, with only 15% to 30% of patients experiencing responses following treatment. Tumor-associated macrophages, which change phenotype…
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Artikel Jurnal
Physics-Informed Neural Networks Meet Multimodal Large Language Models: Biomechanical Simulation in Aortic Aneurysm
Axial dissections of the thoracic artery are common causes of death in people diagnosed with aortic dissection; however, decisions to intervene on ascending thoracic aortic patients are determined by the size of the ascending thoracic aorta based on its diameter. Diameter-based criteria fail to…