Results 111 to 120 of about 26,988,257 (328)

Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles

Nuclear Fusion
Model-based plasma scenario development lies at the heart of the design and operation of future fusion powerplants. Including turbulent transport in integrated models is essential for delivering a successful roadmap towards operation of ITER and the ...
L. Zanisi, A. Ho, J. Barr, T. Madula, J. Citrin, S. Pamela, J. Buchanan, F.J. Casson, V. Gopakumar, JET Contributors   +9 more
doaj   +1 more source

Processing of Extremely High Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest—Part B: 3-D Contest

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016
In this paper, we report the outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society.
A.-V. Vo, L. Truong-Hong, D. F. Laefer, D. Tiede, S. dOleire-Oltmanns, A. Baraldi, M. Shimoni, G. Moser, D. Tuia   +8 more
doaj   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data

Remote Sensing
High-dimensional meteorological data offer a comprehensive overview of meteorological conditions. Nevertheless, predicting regional high-dimensional meteorological data poses challenges due to the vast scale and rapid changes.
Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan   +5 more
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Reviews of Geospatial Information Technology and Collaborative Data Delivery for Disaster Risk Management

ISPRS International Journal of Geo-Information, 2015
Due to the fact that geospatial information technology is considered necessary for disaster risk management (DRM), the need for more effective collaborations between providers and end users in data delivery is increasing. This paper reviews the following:
Hiroyuki Miyazaki, Masahiko Nagai, Ryosuke Shibasaki   +2 more
doaj   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Benchmarking Multimodal Deep Fusion Strategies for Heterogeneous Neuroimaging and Cognitive Data Using a Controlled Sex Classification Task

Brain Sciences
Background/Objectives: Multimodal data fusion is increasingly applied in neuroinformatics to integrate heterogeneous sources of information. However, the optimal strategies for combining modalities with markedly different dimensionality, scale, and noise
Chiara Camastra, Assunta Pelagi, Andrea Quattrone, Alessia Sarica   +3 more
doaj   +1 more source

Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security

Journal of Integrative Agriculture, 2014
Remote sensing, in particular satellite imagery, has been widely used to map cropland, analyze cropping systems, monitor crop changes, and estimate yield and production.
Yun SHI, Shun-ping JI, Xiao-wei SHAO, Hua-jun TANG, Wen-bin WU, Peng YANG, Yong-jun ZHANG, Shibasaki Ryosuke   +7 more
doaj   +1 more source

Multimodal data fusion for cancer biomarker discovery with deep learning

Nature Machine Intelligence, 2023
S. Steyaert, Marija Pizurica, D. Nagaraj, Priya Khandelwal, T. Hernandez-Boussard, A. Gentles, O. Gevaert   +6 more
semanticscholar   +1 more source