A Practical Micropipette-Image Calibration Method for Somatic Cell Microinjection

Information Science, Automation, Life Sciences, Cell Biology,
micropipette calibration   somatic cell microinjection   automation technology   micromanipulation   image processing  

Micropipette-Image Calibration Method Based on Micromanipulation System for Somatic Cell Microinjection Research Background Microinjection is a technique that employs a fine micropipette to inject a precise amount of genetic material, drugs, or other exogenous substances directly into cells or tissues. This technology plays a pivotal role in biomed...

Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning in USV

Engineering, Information Science, Computer Science, Automation,
Probabilistic Neural Networks   Model Predictive Control   Unmanned Surface Vehicles   Reinforcement Learning   Uncertainty Propagation  

A New Approach to Model Predictive Control for Unmanned Surface Vehicles (USV): A Probabilistic Neural Network-Based MBRL Framework Academic Background Unmanned Surface Vehicles (USVs) have seen rapid development in recent years within the field of marine science, finding extensive applications in scenarios such as marine transportation, environmen...

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
few-shot learning   degradation modeling   remaining useful life prediction   restricted-learning network   observation credibility inference   engineering systems   data-driven methods  

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling Academic Background In complex engineering systems, multiple sensors are widely used to monitor the degradation processes of equipment and predict their Remaining Useful Life (RUL). However, ensuring predictive performance remains challenging when...

Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection

Information Science, Computer Science, Automation, Medicine, Oral Sciences, Medical Imaging,
dental CBCT   semi-supervised learning   lesion detection   oral-anatomical knowledge   3D image segmentation  

Academic Background and Research Motivation In the field of dental healthcare, Cone Beam Computed Tomography (CBCT) is a widely used three-dimensional imaging technique. CBCT provides three-dimensional images of the oral cavity and is particularly effective in diagnosing odontogenic lesions. However, the segmentation of CBCT images—labeling each vo...

Influence of Visual-Inertial Sensor-to-Segment Calibration on Upper Limb Joint Angles Estimation

Influence of Visual-Inertial Sensor-to-Segment Calibration on Upper Limb Joint Angles Estimation

Information Science, Automation, Artificial Intelligence, Medicine, Orthopedics, Sports Medicine,
visual-inertial sensors   joint angles estimation   calibration methods   multi-body inverse kinematics   upper limb rehabilitation  

Research on Upper Limb Joint Angle Estimation Based on Visual-Inertial Sensors and the Impact of Calibration Methods Academic Background Upper limb dysfunction, especially in post-stroke patients, significantly impacts their ability to perform daily activities. Rehabilitation training is a critical method for restoring upper limb function, but its ...

Multi-Task Aquatic Toxicity Prediction Model Based on Multi-Level Features Fusion

Chemistry, Computational Chemistry, Environmental Chemistry, Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence, Medicine, Environmental and Public Health,
aquatic toxicity   deep learning   multi-task model   molecular fingerprints   molecular graph features  

Academic Background With the growing threat of organic compounds to environmental pollution, studying the toxic responses of different aquatic organisms to these compounds has become crucial. Such research not only helps assess the potential ecological impacts of pollutants on the overall aquatic ecosystem but also provides significant scientific f...

Flexible No-Drift Data Glove Using Ultrathin Silicon for the Metaverse

Chemistry, Nanoscience, Materials Science, Metallic Materials, Information Science, Semiconductors and Information Devices,
no-drift sensor   ultrathin silicon   data glove   human-machine interface   metaverse  

Academic Background With the rapid development of the Metaverse, human-machine interface (HMI) technology has become a key link between virtual space and human users. Among these, gesture recognition technology is particularly important in the Metaverse, especially the precise capture of finger movements. Traditional bending sensors used for gestur...

Deep-Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring

Chemistry, Nanoscience, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence, Life Sciences, Bioengineering,
E-skin   Metal-organic framework   Deep learning   Health monitoring   Motion detection   Biomolecular sensing   Artificial intelligence  

Deep Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring Academic Background Electronic skin (e-skin) is a technology capable of sensing physiological and environmental stimuli, mimicking human skin functions. In recent years, the potential applications of e-skin in fields such as robotics, sports science, and healthcare monitori...

Investment Micro-Casting 3D-Printed Multi-Metamaterial for Programmable Multimodal Biomimetic Electronics

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Medicine, Life Sciences, Bioengineering,
3D printing   multi-metamaterial   biomimetic electronics   programmable   modal sensing  

Research on Multi-material Biomimetic Electronics Based on Investment Micro-casting 3D Printing Academic Background With the rapid development of biomimetic electronics, electronic skin (E-skin) and flexible sensors that mimic human perceptual functions have shown broad application prospects in robotics, medical devices, and human-computer interact...

An Inkjet-Printable Organic Electrochemical Transistor Array with Differentiated Ion Dynamics for Sweat Fingerprint Identification

An Inkjet-Printable Organic Electrochemical Transistor Array with Differentiated Ion Dynamics for Sweat Fingerprint Identification

Engineering, Electrical Engineering, Materials Science, Organic Polymeric Materials, Information Science, Artificial Intelligence, Medicine,
inkjet printing   organic electrochemical transistor   ion dynamics   sweat identification   artificial intelligence   health monitoring  

Sweat Fingerprint Identification Technology Based on Ion Dynamics: Research on Inkjet-Printed Organic Electrochemical Transistor Arrays Academic Background Sweat, as a non-invasive biomarker, contains rich physiological information that can reflect human health conditions, such as hydration balance and disease markers. However, sweat has complex co...