Results 91 to 100 of about 2,659,274 (336)
Characterizing exoplanetary atmospheres via Bayesian retrievals requires assuming some chemistry model, such as thermochemical equilibrium or parameterized abundances.
Michael D. Himes +2 more
doaj +1 more source
Tunable Mass Transport and Enhanced Electrochemical Performance of CO2 Laser Engraved Electrodes
This work introduces vector‐mode CO2 laser engraving as a rapid strategy to fabricate electrochemical sensors with tunable mass transport. Spiral electrodes can behave as disk electrodes, outperforming conventional raster‐engraved devices in current density and sensitivity.
Davi M. De Farias +2 more
wiley +1 more source
Multimodal Luminescence from LaAlO3:Eu3+ via Trap Modulation for High‐Temperature Applications
LaAlO3:Eu3+ (LAO:E) phosphor exhibiting multimode luminescence enabled by multilevel traps spanning shallow to deep states is reported. These traps ensure controlled charge storage and release at room and elevated temperatures. Experimental studies and theoretical calculations reveal the trapping–detrapping mechanism, highlighting LAO:E as a promising ...
Abdulelah Alolayan +3 more
wiley +1 more source
Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalised fuzzy soft set and its applications. However, to the best of the author’
Mihret Alamneh Taye +2 more
doaj +1 more source
Monads are a popular tool for the working functional programmer to structure effectful computations. This paper presents polymonads, a generalization of monads. Polymonads give the familiar monadic bind the more general type forall a,b. L a -> (a -> M b)
Michael Hicks +4 more
doaj +1 more source
NP-completeness of Certain Sub-classes of the Syndrome Decoding Problem [PDF]
The problem of Syndrome Decoding was proven to be NP-complete in 1978 and, since then, quite a few cryptographic applications have had their security rely on the (provable) difficulty of solving some instances of it. However, in most cases, the instances
Finiasz, Matthieu
core
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
Direct prediction of 3D body pose and shape remains a challenge even for highly parameterized deep learning models. Mapping from the 2D image space to the prediction space is difficult: perspective ambiguities make the loss function noisy and training ...
Gehler, Peter V. +4 more
core +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
We present a functional three‐dimensional in‐vivo‐mimicking human colon (3D‐IVM‐HC) model engineered via Freeform Reversible Embedding of Suspended Hydrogels bioprinting with gelatin methacrylate (GelMA)/alginate hydrogels. This 3D non‐animal model replicates crypt‐like architectures, epithelial polarization, and stromal–tumor interactions, showing ...
Jorge Alfonso Tavares‐Negrete +7 more
wiley +1 more source
Summary: With the rapid development of quantum computing, a variety of quantum convolutional neural networks (QCNNs) are proposed. However, only 1/2n2 features of an n-qubits input are transferred to the next layer in a quantum pooling layer, which ...
Qingshan Wu +5 more
doaj +1 more source

