Results 51 to 60 of about 15,956 (279)
Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji +7 more
wiley +1 more source
This paper proposes a heuristic multi-parameter optimization method for image and video reconstruction. The method is embedded in an evolutionary computation framework in which a set of parameters are encoded into chromosomes of an individual, and a ...
Zhi Dou, Lin Sun, Weiping Ding
doaj +1 more source
Stein's method on the second Wiener chaos : 2-Wasserstein distance [PDF]
In the first part of the paper we use a new Fourier technique to obtain a Stein characterizations for random variables in the second Wiener chaos. We provide the connection between this result and similar conclusions that can be derived using Malliavin ...
Arras, Benjamin +3 more
core +3 more sources
Inequalities for integrals of modified Bessel functions and expressions involving them
Simple inequalities are established for some integrals involving the modified Bessel functions of the first and second kind. In most cases, we show that we obtain the best possible constant or that our bounds are tight in certain limits.
Gaunt, Robert E.
core +1 more source
Clathrin Light Chain B (CLTB) drives hepatocellular carcinoma progression through dual pathways: intracellularly, it activates the NF‐κB–PCLAF axis to enhance small extracellular vesicle (sEV) uptake and tumor proliferation; extracellularly, CLTB‐enriched sEVs bind SH3KBP1 to inhibit its degradation, inducing angiogenesis and vascular leakage ...
Xiaoke Sun +7 more
wiley +1 more source
On the Accuracy of the Exponential Approximation to Random Sums of Alternating Random Variables
Using the generalized stationary renewal distribution (also called the equilibrium transform) for arbitrary distributions with a finite non-zero first moment, we prove moment-type error-bounds in the Kantorovich distance for the exponential approximation
Irina Shevtsova, Mikhail Tselishchev
doaj +1 more source
Shedding Light on Common Misinterpretations in Photocatalyst Characterization
For heterogeneous semiconductor‐based photocatalysts, Marschall et al. highlight common misconceptions in material synthesis, characterization, and performance evaluation, together with detailed explanations on how to avoid them. The guidelines thus presented can help to improve reporting of photocatalyst performance in environmental applications, such
Roland Marschall +2 more
wiley +1 more source
We introduce a generalized stationary renewal distribution (also called the equilibrium transform) for arbitrary distributions with finite nonzero first moment and study its properties.
Irina Shevtsova, Mikhail Tselishchev
doaj +1 more source
Abstract Indoor agriculture (IA) presents a pathway to producing leafy greens more sustainably by strictly controlling the growing environment, increasing the efficiency of water and land resources use, reducing pesticide application, and enhancing quality characteristics.
Joseph Seong +3 more
wiley +1 more source
The central limit problem for random vectors with symmetries
Motivated by the central limit problem for convex bodies, we study normal approximation of linear functionals of high-dimensional random vectors with various types of symmetries. In particular, we obtain results for distributions which are coordinatewise
A. Koldobsky +29 more
core +1 more source

