Results 61 to 70 of about 15,164,145 (290)

User oriented access to secure biomedical resources through the grid [PDF]

, 2006
The life science domain is typified by heterogeneous data sets that are evolving at an exponential rate. Numerous post-genomic databases and areas of post-genomic life science research have been established and are being actively explored. Whilst many of
Watt, J, Ajayi, O, Jiang, J, Ajayi, O., Sinnott, R, Jiang, J., Sinnott, R.O., Stell, A, Stell, A.J., Watt, J.   +9 more
core  

What is sand? Result from a UNEP/GRID-Geneva expert discussion

, 2022
The Global Sand Observatory Initiative (GSOI) is UNEP/GRID-Geneva’s response to requests to identify knowledge gaps under the UNEA-4 Mineral Resource Governance resolution (UNEP/EA.4/Res.19).
UNEP/GRID-Geneva
core   +1 more source

Analysis of the Enhancement Effect of a Virtual Synchronous Generator on the Small Disturbance Synchronization Stability of a Grid-Following Renewable Energy Station

Energies
Grid-following (GFL) renewable energy stations may experience phase-locked loop (PLL)-dominated small-disturbance synchronization instability in weak grids, while grid-forming (GFM) devices can improve the damping of this mode.
Bo Bao, Xiuxian Song, Cong Fu, Zhenyu Lei, Shun Li, Lei Chen   +5 more
doaj   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad, Pouya Metanat, Michael Thomas, Luke W. Bonham, Tyson Lam, Mehmet Kurt, Hong Nguyen, Tara Ellingson, Mauro Zucchelli, Stefano Casagranda, Quin Lu, Andreas M. Rauschecker, Leo Sugrue, Luis E. Savastano, Christopher P. Hess, Kamalini Ranasinghe, S. Andrew Josephson, Bruce L. Miller, Jennifer S. Yokoyama, Gil D. Rabinovici, Peter A. Ljubenkov, Lawren VandeVrede, Kambiz Nael   +22 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Control Loops Passivation Design of Weak-Grid-Tied Grid-Following Inverters for Maximum Power Transfer Capability Improvement

, 2023
The theoretical maximum power transfer capability of the phase-locked loop (PLL)-based grid-following inverters can be limited under weak-grid conditions due to the non passivity of control loops.
Weihua Zhou (16896600), Behrooz Bahrani (11400987), Nabil Mohammed (13129188)   +2 more
core   +1 more source

A Middleware Independent Grid Workflow Builder for Scientific Applications [PDF]

, 2009
particular workflow engines built into Grid middleware, or are application specific and are designed to interact with specific software implementations.
Johnson, David, Kornmayer, H, Meacham, Ken. E   +2 more
core   +2 more sources

RTDS-based evaluation of coexisting grid-forming and grid-following inverter technologies for renewable-integrated AC, DC, and hybrid microgrids

International Journal of Electrical Power & Energy Systems
Microgrids facilitate scalable integration of distributed energy resources (DERs), particularly inverter-based resources (IBRs) interfacing photovoltaic and wind generation systems, while enhancing system reliability, resilience, and operational ...
Nabil Mohammed, Shehab Ahmed, Charalambos Konstantinou, Josep M. Guerrero   +3 more
doaj   +1 more source