Results 171 to 180 of about 20,295,200 (307)

Explicit Future Pattern-Enhanced Multivariate Time Series Forecasting. [PDF]

Entropy (Basel)
Li Y, Wei Y, Cai J, Cheng W, Lin Y.
europepmc   +1 more source

Identifying and characterising a plant GH1 β‐glucosidase that exhibits hydrolytic activity on N‐linked glucopyranoside

FEBS Open Bio, EarlyView.
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli, Carlotta Chiesa, Maher Abou Hachem, Ditte Hededam Welner   +3 more
wiley   +1 more source

Using large models and time series forecasting for market reaction analysis. [PDF]

PLoS One
He H, Li X.
europepmc   +1 more source

Compositional Time Series: Past and Present [PDF]

This survey reviews diverse academic production on compositional dynamic series analysis. Although time dimension of compositional series has been little investigated, this kind of data structure is widely available and utilized in social sciences ...
Juan M.C. Larrosa
core  

In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols

FEBS Open Bio, EarlyView.
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton, Fang Zhao, Reeta Davis, Meg Walsh, Kevin E O'Connor, David O'Connell, Tanja Narancic   +6 more
wiley   +1 more source

Time series data with and without anomalies from a continuous distillation plant. [PDF]

Sci Data
Muraleedharan A, Ferre A, Arweiler J, Jungjohann I, Jirasek F, Hasse H, Burger J.   +6 more
europepmc   +1 more source

Empirical Analysis of Time Series [PDF]

Time series occur in many fields of biology, physics, chemistry, engineering. Much work has been recently performed in statistical physics using specific mathematical techniques on various time series pertaining to so-called nonlinear phenomena.
Ausloos, M
core  

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Decomposition-Enhanced Network for financial time series forecasting. [PDF]

Sci Rep
Huang J, Sun Q, Zhang X, Du H, Xu Z.
europepmc   +1 more source

Scalable Motif Mining in Multidimensional Time Series

openLe time series (i.e., serie storiche) multimensionali sono sequenze di numeri che rappresentano delle misurazioni nel tempo, esse sono prodotte in diversi campi (e.g., ECG in ambito medico, sismogrammi in ambito geologico).
MONACO, FRANCESCO PIO
core