Results 131 to 140 of about 1,239,914 (289)

Evolutionary dynamics on sequential temporal networks. [PDF]

PLoS Comput Biol, 2023
Sheng A, Li A, Wang L.
europepmc   +1 more source

Near‐Infrared Emitting Lanthanide Catecholate Giant Single Crystals – Morphology Control and Photon Down‐Conversion

Advanced Functional Materials, EarlyView.
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr, Alexander Biewald, Andre Mähringer, Thaddäus J. Koller, Peter Mayer, Markus Döblinger, Achim Hartschuh, Dana D. Medina   +7 more
wiley   +1 more source

Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets

Machine Learning with Applications
In this study, we adapt three spatial-temporal graph neural network models to the unique characteristics of crude oil, gold, and silver markets for forecasting purposes.
Parisa Foroutan, Salim Lahmiri
doaj   +1 more source

Fixation probability in evolutionary dynamics on switching temporal networks. [PDF]

J Math Biol, 2023
Bhaumik J, Masuda N.
europepmc   +1 more source

Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)

Advanced Functional Materials, EarlyView.
Luminescent MOF‐76 materials based on Eu(III) and mixed Eu(III)/Y(III) show rapid and reversible changes in emission intensity in response to O2 with very short response times. The effect is based on triplet quenching of the linker ligands that act as photosensitizers. Average emission lifetimes of a few milliseconds turn out to be mostly unaffected by
Zhenyu Zhao, Christian Weinberger, Jakob Steube, Matthias Bauer, Martin Brehm, Michael Tiemann   +5 more
wiley   +1 more source

Deep temporal networks for EEG-based motor imagery recognition. [PDF]

Sci Rep, 2023
Sharma N, Upadhyay A, Sharma M, Singhal A.   +3 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Day-Ahead Probabilistic Prediction Model for Photovoltaic Power Based on Combined Deep Learning

Zhongguo dianli
To accurately quantify the uncertainty in the predicted photovoltaic (PV) power in complex scenarios, a short-term probabilistic prediction method for PV power based on a combination of temporal convolutional networks-attention mechanism-long short-term ...
Yan GAO, Hanbin WU, Jixin ZHANG, Huaming ZHANG, Pei ZHANG   +4 more
doaj   +1 more source

Atrophy in behavioural variant frontotemporal dementia spans multiple large-scale prefrontal and temporal networks. [PDF]

Brain, 2023
Eldaief MC, Brickhouse M, Katsumi Y, Rosen H, Carvalho N, Touroutoglou A, Dickerson BC.   +6 more
europepmc   +1 more source

Temporal Phylogenetic Networks and Logic Programming

, 2005
The concept of a temporal phylogenetic network is a mathematical model of evolution of a family of natural languages. It takes into account the fact that languages can trade their characteristics with each other when linguistic communities are in contact,
Erdem, Esra, Lifschitz, Vladimir, Ringe, Don   +2 more
core   +1 more source