Results 41 to 50 of about 141,430 (348)

Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain

BioMed Research International, 2017
This paper introduces a method for feature extraction and emotion recognition based on empirical mode decomposition (EMD). By using EMD, EEG signals are decomposed into Intrinsic Mode Functions (IMFs) automatically. Multidimensional information of IMF is
Zhuang Ning, Ying Zeng, Li Tong, Chi Zhang, Hanming Zhang, Bin Yan   +5 more
semanticscholar   +1 more source

EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy

Brain Science, 2019
The classification recognition rate of motor imagery is a key factor to improve the performance of brain–computer interface (BCI). Thus, we propose a feature extraction method based on discrete wavelet transform (DWT), empirical mode decomposition (EMD),
Na Ji, Liangdi Ma, Hui Dong, Xuejun Zhang   +3 more
semanticscholar   +1 more source

Forecasting Stock Price Based on Frequency Components by EMD and Neural Networks

IEEE Access, 2020
Predicting stock price based on the features of raw data has been a significant but challenging task for researchers. Various frequency components of the raw stock price series represent characteristics of stock prices in different time scales. Therefore,
Wangwei Shu, Qiang Gao
semanticscholar   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab

CPT: Pharmacometrics & Systems Pharmacology, 2022
Avelumab (anti–PD‐L1) is an approved anticancer treatment for several indications. The JAVELIN Gastric 100 phase III trial did not meet its primary objective of demonstrating superior overall survival (OS) with avelumab maintenance versus continued ...
Nadia Terranova, Jonathan French, Haiqing Dai, Matthew Wiens, Akash Khandelwal, Ana Ruiz‐Garcia, Juliane Manitz, Anja vonHeydebreck, Mary Ruisi, Kevin Chin, Pascal Girard, Karthik Venkatakrishnan   +11 more
doaj   +1 more source

Short-Term Electricity Load Forecasting Model Based on EMD-GRU with Feature Selection

Energies, 2019
Many factors affect short-term electric load, and the superposition of these factors leads to it being non-linear and non-stationary. Separating different load components from the original load series can help to improve the accuracy of prediction, but ...
Xin Gao, Xiaobing Li, Bing Zhao, Weijia Ji, Xiao Jing, Yang He   +5 more
semanticscholar   +1 more source

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

Temporal and spatial adaptation of transient responses to local features

Frontiers in Neural Circuits, 2012
Interpreting visual motion within the natural environment is a challenging task, particularly considering that natural scenes vary enormously in brightness, contrast and spatial structure.
David C O'Carroll, Paul eBarnett, Karin eNordström, Karin eNordström   +3 more
doaj   +1 more source

A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD

Complex, 2020
The stock market is a chaotic, complex, and dynamic financial market. The prediction of future stock prices is a concern and controversial research issue for researchers. More and more analysis and prediction methods are proposed by researchers.
Yujun Yang, Yimei Yang, Jianhua Xiao
semanticscholar   +1 more source