Results 71 to 80 of about 1,209,483 (310)

The Monte Carlo Method for Semiconductor Device Simulation

, 1989
The book contains all the information considered necessary to set up a Monte Carlo simulator of an electronic device, starting from the knowledge of basic transport physics and continuing up to the general principles of the Monte Carlo technique and its ...
P. Lugli, Paolo Lugli, JACOBONI, Carlo, Carlo Jacoboni   +3 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Impact of functional MRI data preprocessing pipeline on default-mode network detectability in patients with disorders of consciousness

Frontiers in Neuroinformatics, 2013
An emerging application of resting-state functional MRI is the study of patients with disorders of consciousness (DoC), where integrity of default-mode network (DMN) activity is associated to the clinical level of preservation of consciousness.
Adrian eAndronache, Cristina eRosazza, Davide eSattin, Matilde eLeonardi, Ludovico eD'Incerti, Ludovico eMinati   +5 more
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Do predictors of motor recovery differ between robotic and conventional post-stroke rehabilitation?

Journal of NeuroEngineering and Rehabilitation
Background While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate patient characteristics that predict response to robot-assisted therapy.
Silvia Campagnini, Piergiuseppe Liuzzi, Marco Germanotta, Arianna Pavan, Alessio Fasano, Francesca Cecchi, Irene Giovanna Aprile, Andrea Mannini   +7 more
doaj   +1 more source

Effects of robot therapy on upper body kinematics and arm function in persons post stroke: a pilot randomized controlled trial

Journal of NeuroEngineering and Rehabilitation, 2020
Background Robot-based rehabilitation for persons post-stroke may improve arm function and daily-life activities as measured by clinical scales, but its effects on motor strategies during functional tasks are still poorly investigated.
Ilaria Carpinella, Tiziana Lencioni, Thomas Bowman, Rita Bertoni, Andrea Turolla, Maurizio Ferrarin, Johanna Jonsdottir   +6 more
doaj   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Hyunji Cha, Jimin Han, Ji‐Su Lim, Dae Hyeon Kwon, Won‐Jin Kwak, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +11 more
wiley   +1 more source

A Kinematic and EMG Dataset for Upper Limb and Hand Movement Analysis in Post-Stroke and Healthy Subjects

Scientific Data
This paper presents a kinematic and electromyographic (EMG) dataset of movements of upper limbs and hands during functional tasks in 3D space, such as reaching, grasping, lifting, and rotating objects.
Francesca Lucchetti, Gaia Bailo, Monia Cabinio, Alberto Marzegan, Arturo Nuara, Federica Rossetto, Simona Squartecchia, Ilaria Carpinella, Maurizio Ferrarin, Tiziana Lencioni   +9 more
doaj   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods

Scientific Reports
An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation, to their families, and healthcare providers. This study aimed at developing and validating externally patient-wise prognostic models of the global ...
Silvia Campagnini, Alessandro Sodero, Marco Baccini, Bahia Hakiki, Antonello Grippo, Claudio Macchi, Andrea Mannini, Francesca Cecchi   +7 more
doaj   +1 more source