Results 71 to 80 of about 14,302 (309)

Ultra-short-term wind speed forecasting based on support vector machine with combined kernel function and similar data

EURASIP Journal on Wireless Communications and Networking, 2019
The accuracy of wind power prediction is very important for the stable operation of a power system. Ultra-short-term wind speed forecasting is an effective way to ensure real-time and accurate wind power prediction. In this paper, a short-term wind speed
Jian He, Jingle Xu
doaj   +1 more source

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

Wind Speed Forecasting Using Attention-Based Causal Convolutional Network and Wind Energy Conversion

Energies, 2022
As one of the effective renewable energy sources, wind energy has received attention because it is sustainable energy. Accurate wind speed forecasting can pave the way to the goal of sustainable development.
Zhihao Shang, Quan Wen, Yanhua Chen, Bing Zhou, Mingliang Xu   +4 more
doaj   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

Integrated Machine Learning and Enhanced Statistical Approach-Based Wind Power Forecasting in Australian Tasmania Wind Farm

Complexity, 2020
This paper develops an integrated machine learning and enhanced statistical approach for wind power interval forecasting. A time-series wind power forecasting model is formulated as the theoretical basis of our method.
Fang Yao, Wei Liu, Xingyong Zhao, Li Song   +3 more
doaj   +1 more source

Validating wind field models for power system impact studies [PDF]

, 2012
To integrate wind power into the electrical power system studies need to be made of its impact. Wind plants are stochastic in nature and this makes them differ from traditional plants. One method to model the stochastic nature of wind plants is to create
D. Infield, K. Bell, Plumley, Charles Edward, Hill, David, Bell, Keith, D. McMillan, McMillan, David, Infield, David, D. Hill, C. Plumley   +9 more
core   +1 more source

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

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

Short-term wind prediction using an ensemble of particle swarm optimised FIR filters

, 2013
Due to the large and increasing penetration of wind power around the world, accurate power production forecasts are required to manage power systems and wind power plants.
Dowell, Jethro, Dowell, J., Weiss, Stephan, S. Weiss, J. Dowell, Weiss, S.   +5 more
core   +1 more source