Results 61 to 70 of about 164,389 (293)

Comparison of the Kinematic Pattern of Knee Joint Flexion in Healthy and Genu Valgum and Genu Varum Children During Jumping

open access: yesBiyumikānīk-i varzishī, 2021
Objective Genu valgum and genu varum are considered as the most common abnormalities of the knee joint in the lower extremity. Identifying of the mentioned abnormalities in the early stages of life can prevent the occurrence of later problems in the ...
Hamed Jalalvand   +2 more
doaj  

Learning fast accurate movements requires intact frontostriatal circuits

open access: yesFrontiers in Human Neuroscience, 2013
The basal ganglia are known to play a crucial role in movement execution, but their importance for motor skill learning remains unclear. Obstacles to our understanding include the lack of a universally accepted definition of motor skill learning ...
Britne eShabbott   +9 more
doaj   +1 more source

Adaptive Twisting Metamaterials

open access: yesAdvanced Materials, EarlyView.
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri   +6 more
wiley   +1 more source

Searching for Critical Conditions During Lifeboat Launching – Simulations

open access: yesPolish Maritime Research, 2017
The article describes numerical simulations of the process of lifeboat launching at the ship’s side. The research aimed at finding the values of ship motion parameters which appear to be most dangerous for people in the lowered lifeboat due to the ...
Dymarski Czesław   +2 more
doaj   +1 more source

Deep Learning Analysis of Solid‐Electrolyte Interphase Microstructures in Lithium‐Ion Batteries

open access: yesAdvanced Materials Interfaces, EarlyView.
A transformer‐based deep learning model is developed for segmenting and analyzing high‐resolution TEM images of the solid‐electrolyte interphase (SEI) in lithium‐ion batteries. The model is trained on DFT‐based simulated images and predicts SEI grain and grain boundaries, revealing key microstructural features that govern ion transport and degradation.
Ishraque Zaman Borshon   +4 more
wiley   +1 more source

Reshaping of Gait Coordination by Robotic Intervention in Myelopathy Patients After Surgery

open access: yesFrontiers in Neuroscience, 2018
The Ossification of the Posterior Longitudinal Ligament (OPLL) is an idiopathic degenerative spinal disease which may cause motor deficit. For patients presenting myelopathy or severe stenosis, surgical decompression is the treatment of choice; however ...
Sandra Puentes   +9 more
doaj   +1 more source

Influence of Micropillar Height Modulation on Droplet Evaporation and Wetting State Transitions

open access: yesAdvanced Materials Interfaces, EarlyView.
Controlling droplet evaporation dynamics is crucial across many fields. Here, it demonstrates laser‐fabricated polymer micropillar arrays with tailored height variations to regulate evaporation behavior. While all arrays exhibit superhydrophobic wetting, their distinct height profiles effectively slow evaporation and alter evaporation modes ...
Prabuddha De Saram   +2 more
wiley   +1 more source

Sensor-Based Identification of Singularities in Parallel Manipulators

open access: yesActuators
Singularities are configurations where the number of degrees of freedom of a robot changes instantaneously. In parallel manipulators, a singularity could reduce the mobility of the end-effector or produce uncontrolled motions of the mobile platform. Thus,
Jose L. Pulloquinga   +3 more
doaj   +1 more source

Extending Research on Deception in Sport – Combining Perception and Kinematic Approaches

open access: yesFrontiers in Psychology, 2019
The spatio-temporal demands of many high performance sport contexts require a strategic interplay between anticipation from early kinematic cues and the appropriate movement strategy.
Josefine Panten   +3 more
doaj   +1 more source

Hygromnemics: Programmable Material Memory Matter Actuators via Wet Pre‐Constraining

open access: yesAdvanced Materials Technologies, EarlyView.
Humidity‐based pre‐constraining creates hygromnemics‐shape memory matter. From identical biocomposites actuation in dry and wet states is obtained via hygromnemic and hygromorphic actuation, respectively. Hygromnemic actuators present long‐ and short‐term shape memory abilities.
Charles de Kergariou   +5 more
wiley   +1 more source

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