Results 81 to 90 of about 2,638,880 (299)

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems

Energies, 2018
To efficiently manage unstable wind power generation, precise short-term wind speed forecasting is critical. To overcome the challenges in wind speed forecasting, this paper proposes a new convolutional neural network algorithm for short-term forecasting.
Chiou-Jye Huang, Ping-Huan Kuo
doaj   +1 more source

Sub-hourly forecasting of wind speed and wind energy

Renewable Energy, 2020
Abstract The need to have access to accurate short term forecasts is essential in order to anticipate the energy production from intermittent renewable sources, notably wind energy. For hourly and sub-hourly forecasts, benchmarks are based on statistical approaches such as time series based methods or neural networks, which are always tested against ...
Dupré, Aurore, Drobinski, Philippe, Alonzo, Bastien, Badosa, Jordi, Briard, Christian, Plougonven, Riwal   +5 more
openaire   +3 more sources

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Evaluation of simple wind power forecasting methods applied to a long-term wind record from Scotland [PDF]

, 2012
We present an analysis of the ability to predict the power output from a nominal wind turbine or wind farm a few hours ahead using only locally available data – either the current and recent wind speed or power output. A third method combines the current
Fruh, Wolf-Gerrit; id_orcid
core  

Soft Computing Methods with Phase Space Reconstruction for Wind Speed Forecasting—A Performance Comparison [PDF]

, 2019
This article presents a comparison of wind speed forecasting techniques, starting with the Auto-regressive Integrated Moving Average, followed by Artificial Intelligence-based techniques.
Juan. J. Flores, HECTOR RODRIGUEZ RANGEL, RODRIGO LOPEZ FARIAS, Juan Flores, Mario Graff, Héctor Rodríguez, Rodrigo Lopez-Farias, José R. Cedeño González, MARIO GRAFF GUERRERO, José Cedeño, Felix Calderon   +10 more
core   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Forecasting of Tropical Storm Wind Speeds Based on Multi-Step Differencing and Artificial Neural Network

Journal of Marine Science and Engineering
The tropical storm is a severe wind disaster that frequently attacks coastal structures and infrastructure facilities. Accurate wind speed forecasting of tropical storms, based on real-time measured data, has become a critical issue in the engineering ...
Tianyou Tao, Peng Deng, Fan Xu, Yichao Xu   +3 more
doaj   +1 more source

A Multistep Wind Speed Forecasting System Considering Double Time Series Features

IEEE Access, 2020
Multistep wind speed forecasting is of great significance for wind energy utilization. To further improve the performance of multistep wind speed forecasting, a new multistep forecasting strategy is proposed based on the basic wind speed multistep ...
Lei Zhang, Keqilao Meng, Yan Jia, Jianlong Ma, Rihan Hai   +4 more
doaj   +1 more source

A deep learning-based evolutionary model for short-term wind speed forecasting : A case study of the Lillgrund offshore wind farm

, 2021
Due to expanding global environmental issues and growing energy demand, wind power technologies have been studied extensively. Accurate and robust short-term wind speed forecasting is crucial for large-scale integration of wind power generation into the ...
Alexander, Bradley,, Alexander, B, Tjernberg, L.B., Garcia, Davide Astiaso,, Astiaso Garcia, D., Wagner, M., Astiaso Garcia, D, Abbasnejad, E., Nezhad, MM, Abbasnejad, E, Mirjalili, S, Mirjalili, Seyedali,, Wagner, Markus,, Wagner, M, Alexander, B., Neshat, M., Tjernberg, LB, Nezhad, Meysam Majidi,, Nezhad, M.M., Neshat, Mehdi,, Neshat, M, Abbasnejad, Ehsan,, Bertling, Lina,, Mirjalili, S.   +23 more
core   +1 more source