Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery. [PDF]
Lyu Z, Gu Y.
europepmc +1 more source
Unraveling Upconversion Dynamics Through Laplace Transforms
The decay‐time curves of Yb3+ unravel the upconversion luminescence dynamics under different pulse widths and repetition rates of the excitation source. The proposed model is both simple and clearly explains the trend of the luminescence dynamics in upconverting nanomaterials, offering an invaluable tool for future discoveries.
Gabriella Tessitore, Julien Gagnon
wiley +1 more source
Precise Identification of Higher-Order Repeats (HORs) in T2T-CHM13 Assembly of Human Chromosome 21-Novel 52mer HOR and Failures of Hg38 Assembly. [PDF]
Glunčić M +3 more
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Accessible interactive learning of mathematical expressions for school students with visual disabilities. [PDF]
Ali A, Khusro S, Alahmadi TJ.
europepmc +1 more source
Modelling of continuous low‐temperature emulsion co‐polymerization in 3D‐printed reactor
A kinetic model for the emulsion copolymerization of butyl acrylate/styrene at low temperatures is proposed and validated against experiments with a redox initiator system. The model was successfully transferred to a 3D‐printed tubular reactor and conversions of more than 80% and small particles sizes below 40 nm were observed.
Ferel Issa +2 more
wiley +1 more source
Are Mathematical and Musical Abilities Related Beyond Intelligence? [PDF]
Meier MA +6 more
europepmc +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
Localized statistics decoding for quantum low-density parity-check codes. [PDF]
Hillmann T +5 more
europepmc +1 more source
ABSTRACT Purpose To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo T2$$ {T}_2 $$ mapping. Methods Excitation and refocusing RF pulses were optimized for TSE using a differentiable extended phase graph model that incorporates the ...
Madison M. Augelli +3 more
wiley +1 more source

