Results 41 to 50 of about 20,816 (262)
Irregular distribution of wind power prediction
Wind power is volatile and uncertain, which makes it difficult to establish an accurate prediction model. How to quantitatively describe the distribution of wind power output is the focus of this paper.
Kun YUAN +5 more
doaj +1 more source
A Novel Strategy for Wind Speed Prediction in Wind Farm
The empirical mode decomposition (EMD) is well known for predicting wind speed.However, but the joint application of relevance vector machine (RVM) and empirical mode decomposition in wind speed forecasting is seldom found in the field. This paper proposes a relevance vector machine model based on empirical mode decomposition to predict the wind speed ...
Yang Guang, Ziqiang Hu, Xinrong Liu
openaire +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Short-term Wind Speed Prediction Based on Wavelet Packet Decomposition and BP Neural Network
In this paper, a short-term wind speed prediction method based on BP neural network and wavelet packet decomposition was proposed to solve the problem of insufficient accuracy of wind speed prediction introduced by unstable wind speed signals.
WANG Ning +6 more
doaj
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Accurate wind speed prediction can help the power department to perceive the change rule of wind power in advance, reduce the impact of wind power grid connection, and then improve the wind power consumption rate.
Lijuan Zhu, Wei Hu
doaj +1 more source
Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
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 +3 more
wiley +1 more source
A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Accurate and reliable wind speed prediction plays a significant role in ensuring the reasonable scheduling of wind power resources. However, wind speed sequences often exhibit complex characteristics such as instability and volatility, which create ...
Jie Du +3 more
doaj +1 more source
Wind Power Prediction Based on PSO-SVR and Grey Combination Model
As a kind of green, clean and renewable energy, wind power generation has been widely utilized in various countries in the world. With the rapid development of wind energy, it is also facing prominent problems.
Yi Zhang, Hexu Sun, Yingjun Guo
doaj +1 more source
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 +16 more
wiley +1 more source

