Augmenting Electroencephalogram Transformer for Steady-State Visually Evoked Potential-Based Brain-Computer Interfaces [0.03%]
基于稳态视觉诱发电位脑机接口的电生理数据增强变压器模型研究
Jin Yue,Xiaolin Xiao,Kun Wang et al.
Jin Yue et al.
Objective: Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain-computer interface (BCI) systems requires effective electroencephalogram (EEG) decoding through deep learning. However, challenges persist due to dat...
Ergonomic Insect Headgear and Abdominal Buckle with Surface Stimulators Manufactured via Multimaterial 3D Printing: Snap-and-Secure Installation of Noninvasive Sensory Stimulators for Cyborg Insects [0.03%]
基于多材料3D打印的符合人体工程学规范的昆虫头盔和腹部束带：用于非侵入性感觉刺激器的赛博格昆虫的一键式安装技术
Phuoc Thanh Tran-Ngoc,Kewei Song,Thu Ha Tran et al.
Phuoc Thanh Tran-Ngoc et al.
Insects have been integrated with electronic systems to create cyborg insects for various practical applications by utilizing their inherent adaptability and mobility. Nevertheless, most cyborg insects' preparation depends on the invasive m...
Dang Zhang,Liang Lin,Chao Deng et al.
Dang Zhang et al.
Biological imaging has revolutionized tissue analysis by revealing morphological and physiological dynamics, yet faces inherent limitations in penetration depth and resolution. Micro/nanomotors (MNMs), with autonomous propulsion and spatiot...
Federated Metadata-Constrained iRadonMAP Framework with Mutual Learning for All-in-One Computed Tomography Imaging [0.03%]
一种联合元数据约束的iRadonMAP框架及其互学习在一站式CT成像中的应用研究
Hao Wang,Xiaoyu Zhang,Hengtao Guo et al.
Hao Wang et al.
With the increasing use of computed tomography (CT), concerns about radiation dose have grown. Deep-learning-based methods have shown great promise in improving low-dose CT image quality while further reducing patient dose. However, most de...
BioCompNet: A Deep Learning Workflow Enabling Automated Body Composition Analysis toward Precision Management of Cardiometabolic Disorders [0.03%]
BioCompNet：一种深度学习工作流，通过自动化身体组成分析实现心血管代謝障碍的精准管理
Jianyong Wei,Hongli Chen,Lijun Yao et al.
Jianyong Wei et al.
Growing evidence highlights the importance of body composition (BC), including bone, muscle, and adipose tissue (AT), as a critical biomarker for cardiometabolic risk stratification. However, conventional methods for quantifying BC componen...
An Integrated Monolithic Synaptic Device for C-Tactile Afferent Perception and Robot Emotional Interaction [0.03%]
一种集成单片突触器件用于C-体感觉传入和机器人情感交互
Yue Li,Lu Yang,Qianbo Yu et al.
Yue Li et al.
C-tactile afferents are low-threshold mechanoreceptors that innervate the hairy skin of mammals, essential for emotional interactions. Replication of such a mechanism could facilitate emotional interactions between humans and embodied intel...
Bridging the Gap to Bionic Motion: Challenges in Legged Robot Limb Unit Design, Modeling, and Control [0.03%]
迈向仿生运动：步行机器人腿机构设计、建模与控制面临的挑战
Junhui Zhang,Jinyuan Liu,Huaizhi Zong et al.
Junhui Zhang et al.
Motivated by the agility of animal and human locomotion, highly dynamic bionic legged robots have been extensively applied across various domains. Legged robotics represents a multidisciplinary field that integrates manufacturing, materials...
Model-Based Control of a Continuum Manipulator with Online Jacobian Error Compensation Using Kalman Filtering [0.03%]
基于模型的 continuum 机械臂控制及其雅可比误差的 kalman 在线补偿方法研究
Yujia Zhai,Jihao Xu,Hangjie Mo et al.
Yujia Zhai et al.
Flexible continuum robots exhibit excellent adaptability to a wide range of tasks and environments. However, accurate and efficient modeling and control remain challenging due to their inherent nonlinearities. In this article, a hybrid mode...
Bioinspired Microtexturing for Enhanced Sweat Adhesion in Ion-Selective Membranes [0.03%]
受生物启发的微纹理化技术增强离子选择性膜的汗液粘附性能
Marc Josep Montagut Marques,Takayuki Masuji,Mohamed Adel et al.
Marc Josep Montagut Marques et al.
Advancements in health wearable technology hold the potential to prevent critical health issues such as hyponatremia and other hydration-related conditions often triggered by intense physical activities. Approaches to address this issue inc...
Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement Learning [0.03%]
生物神经元网络中的动态连接可塑性和采样效率：与深度强化学习的比较研究
Moein Khajehnejad,Forough Habibollahi,Alon Loeffler et al.
Moein Khajehnejad et al.
In this study, we investigate the complex network dynamics of in vitro neural systems using DishBrain, which integrates live neural cultures with high-density multi-electrode arrays in real-time, closed-loop game environments. By embedding ...