Results 31 to 40 of about 28,819 (266)

Switch Between El Nino and La Nina is Caused by Subsurface Ocean Waves Likely Driven by Lunar Tidal Forcing

Scientific Reports, 2019
The El Nino-Southern Oscillation (ENSO) is the dominant interannual variability of Earth’s climate system, and strongly modulates global temperature, precipitation, atmospheric circulation, tropical cyclones and other extreme events. However, forecasting
Jialin Lin, Taotao Qian
doaj   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Wind forecasting using Principal Component Analysis

, 2014
We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid, C. Skittides, Skittides, Christina, W.-G. Früh   +3 more
core   +1 more source

Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 [PDF]

, 2021
A substantial part of Arctic climate predictability at interannual timescales stems from the knowledge of the initial sea ice conditions. Among all sea ice properties, its volume, which is a product of sea ice concentration (SIC) and thickness (SIT), is ...
Yang, Shuting, Kruschke, Tim, Medhi Karami, Karami, Mehdi Pasha, F. Massonnet, Tian Tian, T. Koenigk, Torben Koenigk, Tian, Tian, Koenigk, Torben,, S. Yang, M. P. Karami, Koenigk, Torben, T. Kruschke, Karami, Pasha, François Massonnet, Massonnet, François, T. Tian, Shuting Yang, Tim Kruschke   +19 more
core   +1 more source

Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation

APL Machine Learning
The Atlantic Meridional Overturning Circulation (AMOC) is a significant component of the global ocean system, which has so far ensured a relatively warm climate for the North Atlantic and mild conditions in regions, such as Western Europe.
Zheng-Meng Zhai, Mohammadamin Moradi, Shirin Panahi, Zhi-Hua Wang, Ying-Cheng Lai   +4 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Predictive optimization using long short-term memory for solar PV and EV integration in relatively cold climate energy systems with a regional case study

Scientific Reports
The global shift toward sustainable energy and electric mobility addresses environmental concerns related to fossil fuels. While these alternatives are increasingly utilized in residential and commercial sectors, integrating renewable energy in building systems presents significant challenges.
Tao Hai, Ali B. M. Ali, Diwakar Agarwal, Ankit Punia, Megha Jagga, Ali E. Anqi, M. Ahmedi, Husam Rajab, Narinderjit Singh Sawaran Singh, Mohammad Taghavi   +9 more
openaire   +3 more sources

Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, EarlyView.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

The ‘Two oceans and one sea’ extended range numerical prediction system with an ultra-high resolution atmosphere-ocean-land regional coupled model

Atmospheric and Oceanic Science Letters, 2018
The ‘Two Oceans and One Sea’ area (West Pacific, Indian Ocean, and South China Sea; 15°S–60°N, 39°–178°E) is a core strategic area for the ‘21st Century Maritime Silk Road’ project, as well as national defense.
Shao-Qing Zhang, LIU Yang, Xiao-Hui Ma, Hong-Na Wang, Xue-Feng Zhang, Xiao-Lin Yu, Lv Lu   +6 more
doaj   +1 more source

Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network [PDF]

Nonlinear Processes in Geophysics, 2020
In this paper, the performance of three machine-learning methods for predicting short-term evolution and for reproducing the long-term statistics of a multiscale spatiotemporal Lorenz 96 system is examined.
A. Chattopadhyay, P. Hassanzadeh, P. Hassanzadeh, D. Subramanian, D. Subramanian   +4 more
doaj   +1 more source