Results 91 to 100 of about 2,659,274 (336)

Toward 3D Retrieval of Exoplanet Atmospheres: Assessing Thermochemical Equilibrium Estimation Methods

open access: yesThe Planetary Science Journal, 2023
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

open access: yesAdvanced Materials Technologies, EarlyView.
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

open access: yesAdvanced Photonics Research, EarlyView.
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

New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings [version 2; peer review: 1 approved, 3 approved with reservations]

open access: yesF1000Research
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

Polymonadic Programming [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2014
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]

open access: yes, 2009
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

open access: yes, 2018
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

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
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

Development of a 3D Human Colon Model Along with Bioelectronics for the Induction and Monitoring of Diseases

open access: yesAdvanced Science, EarlyView.
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

A degressive quantum convolutional neural network for quantum state classification and code recognition

open access: yesiScience
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

Home - About - Disclaimer - Privacy