Results 81 to 90 of about 8,108,857 (251)

Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model. [PDF]

J Neuroeng Rehabil, 2023
Schweighofer N, Ye D, Luo H, D'Argenio DZ, Winstein C.   +4 more
europepmc   +1 more source

Invisible but not inaccessible—Revealing transient oligomers formed by intrinsically disordered proteins with solution NMR and complementary methods

FEBS Letters, EarlyView.
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley   +1 more source

HUTFormer: Hierarchical U-Net transformer for long-term traffic forecasting

Communications in Transportation Research
Traffic forecasting, which aims to predict traffic conditions based on historical observations, has been an enduring research topic and is widely recognized as an essential component of intelligent transportation.
Zezhi Shao, Fei Wang, Tao Sun, Chengqing Yu, Yuchen Fang, Guangyin Jin, Zhulin An, Yang Liu, Xiaobo Qu, Yongjun Xu   +9 more
doaj   +1 more source

Hierarchical attention network for multivariate time series long-term forecasting. [PDF]

Appl Intell (Dordr), 2023
Bi H, Lu L, Meng Y.
europepmc   +1 more source

Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

FEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

Long-Term and Short-Term Photovoltaic Power Generation Forecasting Using a Multi-Scale Fusion MHA-BiLSTM Model

Energies
As the proportion of photovoltaic (PV) power generation continues to increase in power systems, high-precision PV power forecasting has become a critical challenge for smart grid scheduling.
Mengkun Li, Letian Sun, Yitian Sun
doaj   +1 more source

Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk. [PDF]

Comput Intell Neurosci, 2022
Zhang J, Chen L.
europepmc   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Mitigating Long-Term Forecasting Bias in Time-Series Neural Networks via Ensemble of Short-Term Dependencies

Applied Sciences
Time-series forecasting is essential for predicting future trends based on historical data, with significant applications in meteorology, transportation, and finance.
Jiahui Wang, Wenqian Zhou, Fangshu Chen, Liming Wang, Ruijun Pan, Chengcheng Yu   +5 more
doaj   +1 more source

Enhancing long-term forecasting: Learning from COVID-19 models. [PDF]

PLoS Comput Biol, 2022
Rahmandad H, Xu R, Ghaffarzadegan N.
europepmc   +1 more source