Results 51 to 60 of about 4,148,793 (318)
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting [PDF]
arXiv, 2020 Multivariate time series forecasting is widely used in various fields. Reasonable prediction results can assist people in planning and decision-making, generate benefits and avoid risks. Normally, there are two characteristics of time series, that is, long-term trend and short-term fluctuation.
arxiv
Characteristics of the Kelch domain containing (KLHDC) subfamily and relationships with diseases
FEBS Letters, EarlyView.The Kelch protein superfamily includes 63 members, with the KLHDC subfamily having 10 proteins. While their functions are not fully understood, recent advances in KLHDC2's structure and role in protein degradation have highlighted its potential for drug development, especially in PROTAC therapies.
Courtney Pilcher +6 more
wiley +1 more source
MOZAIC Time-Term Analysis [PDF]
Geophysical Journal International, 1976 Summary The time-term approach to the interpretation of refraction travel-time data is extended to deal with observation systems which are not, at first sight, suitable for time-term analysis. This so-called MOZAIC method is based on the premise that there exist areas of equal delay time to any refractor and that the distribution of such areas can ...
openaire +2 more sources
‘Individual sovereignty’ in pandemic times – A contradiction in terms?
Political Geography, 2021 During the Covid-19 pandemic, appeals to ‘individual sovereignty’ have brought together a wide range of political actors across Europe, united in their rejection of face masks, ‘social distancing’, and other forms of state-imposed regulation of behavior and mobility.
Bialasiewicz, Luiza, Eckes, Christina
openaire +3 more sources
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
FEBS Letters, EarlyView.α2 → 8 polysialic acid elicits poor immunogenicity. Small‐angle scattering shows a supramolecular structure with parallel‐chain binding, although in different forms at μm and mm calcium. The major histocompatibility complex requires molecular weights around 2000 Da to produce antibodies, and 2000 Da polysialic oligomers will bind in these structures ...
Kenneth A. Rubinson
wiley +1 more source
Multiple D2-Brane Action from M2-Branes [PDF]
Int.J.Mod.Phys.A24:3039-3052,2009, 2008 We study the detail derivation of the multiple D2-brane effective action from multiple M2-branes in the Bagger-Lambert-Gustavsson (BLG) theory and the Aharony-Bergman-Jafferis-Maldacena (ABJM) theory by employing the novel Higgs mechanism. We show explicitly that the high-order F^3 and F^4 terms are commutator terms, and conjecture that all the high ...
arxiv +1 more source
Long-term timing of four millisecond pulsars [PDF]
Astronomy and Astrophysics, 2010 We have timed four millisecond pulses, PSRs J1721-2457, J1745-0952, J1810-2005, and J1918-0642, for up to a total of 10.5 years each using multiple telescopes in the European Pulsar Timing Array network: the Westerbork Synthesis Radio Telescope in The Netherlands, the Nancay Radio Telescope in France and the Lovell telescope at Jodrell Bank in the UK ...
Michael Kramer +10 more
openaire +6 more sources
FEBS Letters, EarlyView.Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma +8 more
wiley +1 more source
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting [PDF]
arXiv, 2023 Long-term time series forecasting is a vital task and has a wide range of real applications. Recent methods focus on capturing the underlying patterns from one single domain (e.g. the time domain or the frequency domain), and have not taken a holistic view to process long-term time series from the time-frequency domains.
arxiv