Results 101 to 110 of about 22,990 (266)

Palatable‐Food–Driven Top‐Down Circuit Inhibits PVNCRF Activity to Mitigate Stress Via Peri‐PVNCRFR1 Neurons

open access: yesAdvanced Science, EarlyView.
Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong   +12 more
wiley   +1 more source

A New Theoretical Method for Solving Forward Kinematics of the Parallel Mechanisms Based on Transfer Matrix

open access: yesInternational Journal of Aerospace Engineering
The flexible parallel mechanism is widely utilized in precision instruments, thanks to its numerous advantages, such as high precision, frictionless operation, and seamless movements.
Jin Wang   +8 more
doaj   +1 more source

A Kinematical Analysis of Forward Handspring Motion

open access: yesKorean Journal of Sport Biomechanics, 2003
In this research was to analyze 3-D kinematics variables for handspring of basic motion in the heavy gymnastics in order to investigate kinematical difference between expert and novice. Therefore, the purpose of this research was provide quantitative information, systematic provision, rules, establishment of basic skill for improving skill and teaching
openaire   +2 more sources

Electrohydraulic Folding Ring Actuators for Radially Contracting Applications

open access: yesAdvanced Science, EarlyView.
This work presents an Electrohydraulic Folding Ring Actuator that combines high‐performance electrohydraulic actuation with origami‐inspired folding geometry to achieve constricting radial actuation. This integration yields significant inner lumen constriction, alongside a gripping force capable of holding objects exceeding four times the actuator's ...
Gavril Yong En Tan   +4 more
wiley   +1 more source

Forward Kinematics Analysis of 2RUS/RRS Parallel Mechanism

open access: yesJixie chuandong, 2018
The iterative search method( Newton or Quasi-Newton) is an important numerical method for solving the forward kinematics( FK) problem of parallel mechanisms. Due to the extremely displacement singularity in the limbs,the search space is easy to be out of
Geng Mingchao   +3 more
doaj  

Advanced quaternion forward kinematics algorithm including overview of different methods for robot kinematics [PDF]

open access: yesFME Transactions, 2014
Formulation of proper and efficient algorithms for robot kinematics is essential for the analysis and design of serial manipulators. Kinematic modeling of manipulators is most often performed in Cartesian space.
Vidaković Jelena Z.   +4 more
doaj  

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

open access: yesAdvanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee   +9 more
wiley   +1 more source

Modeling, Analysis and Evaluation of a Novel Compact 6-DoF 3-RRRS Needle Biopsy Robot

open access: yesMathematics
Robot-assisted surgical systems have been widely applied for minimally invasive needle biopsies thanks to their excellent accuracy and superior stability compared to manual surgical operations, which lead to possible fatigue and misoperation due to long ...
Jiangnan Wang   +8 more
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

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