Results 41 to 50 of about 3,901,168 (239)

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

Research and development of accounting system in grid environment [PDF]

, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The Grid has been recognised as the next-generation distributed computing paradigm by seamlessly integrating heterogeneous resources across administrative ...
Chen, Xiaoyu
core   +6 more sources

Collaborative grid infrastructure for molecular simulations: The eMinerals minigrid as a prototype integrated computer and data grid [PDF]

, 2005
This paper describes a prototype grid infrastructure, called the eMinerals minigrid, for molecular simulation scientists. which is based on an integration of shared compute and data resources.
Allan, R. J., Blanshard L, Tucker MG, Broadholt J, van Dam, K. K., Allan RJ, Bruin, R., Alexandrov, V.N., Tyer, R., Tucker, M. G., Emmerich W, Dove MT, Thandavan, A., Wilson, P., Tucker, M.G., Bruin R, Emmerich, W., Calleja M, Brodholt, J., Chapman C, Kleese van Dam, K., Chapmans, C., Tyer R, Alexandrov VN, Dover, .M.T., Allen, R.J., Dove, M. T., Kleese van Dam K, Thandavan A, Chapman, C., Alexandrov, V. N., Calleja, M., Blanshard, L., Alexandrov, V.N, Thandavan, A, Tyer, R.P, Kleese van Dam, K, Emmerich, W, Dove, M.T, Blanshard, L.J, Calleja, S, Bruin, R.P, Brodholt, J, Chapman, C, Tucker, M.G, Wilson, J.G, Allan, R.J   +46 more
core   +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

Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method

Results in Engineering
Temperature data exhibit obvious heterogeneity both in time and space. Long-term missing data can disrupt the continuous spatiotemporal heterogeneity and periodic characteristics of the original data, making it difficult to calculate the initial ...
Xiaolin Liu, Bo Wang, Shuanglong Jin, Zongpeng Song   +3 more
doaj   +1 more source

Development of a grid emulator for network integration studies [PDF]

, 2014
Includes bibliographical references.The economic and environmental side effects of fossil fuels have forced governments and authorities to investigate sustainable solutions. Main interest is focused on environment friendly benefits, provided by renewable
Khan, Akrama
core   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

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  

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

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source