Results 61 to 70 of about 9,441 (247)
Strong laws of large numbers for arrays of rowwise independent random elements
Let {Xnk} be an array of rowwise independent random elements in a separable Banach space of type p+δ with EXnk=0 for all k, n.
Robert Lee Taylor, Tien-Chung Hu
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A bimetallic Mn–Ca nanoreactor (MCC) is developed as a non‐nucleotide STING nanoagonist for cancer metalloimmunotherapy. MCC induces Ca2+ overload and hydroxyl radical generation, resulting in mitochondrial damage and mtDNA release. The released mtDNA cooperates with Mn2+ to robustly activate cGAS–STING signaling.
Xin Wang Mo +7 more
wiley +1 more source
The Almost Sure Convergence for Weighted Sums of Linear Negatively Dependent Random Variables [PDF]
In this paper, we generalize a theorem of Shao [12] by assuming that is a sequence of linear negatively dependent random variables. Also, we extend some theorems of Chao [6] and Thrum [14]. It is shown by an elementary method that for linear negatively
doaj
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Almost Sure Convergence for the Robbins-Monro Process
In this paper we investigate the almost sure convergence of the Robbins-Monro process $x_{n+1} = x_n - a_n(y_n - \alpha)$ under assumptions about the conditional distribution of $y_n$ given $x_n$ which involve the existence of first moments or something closely related. The process $x_n$ can converge almost surely even when the series $\sum^\infty_{n=1}
Goodsell, C. A., Hanson, D. L.
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This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Some Almost Sure Convergence Theorems for Branching Processes [PDF]
In this paper, we shall be concerned with a super-critical Galton-Watson process {Z 0 = l,Z1 Z2;…} whose non-degenerate offspring distribution has 1 < m = EZ 1 < ∞ and var A 1 = σ2 ∞. The Galton-Watson process evolves in such a way that the probability generating function of Z n is the n-th functional iterate of the probability generating function of Z
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Topological van der Waals contacts represent a new class of electrodes for 2D semiconductors, enabling precise control of the Schottky barrier height (SBH) and contact resistance (RC) through interlayer distance and orbital hybridization engineering. In Se‐based transition metal dichalcogenides, these contacts achieve an ultralow SBH of 7 meV, RC of 0.
Soheil Ghods +15 more
wiley +1 more source
General Convergence Rates by the Delayed Sums Method
In this study, we propose a delayed sums method to investigate the convergence rates of partial sums. This approach enables general and systematic treatment of the convergence behavior of partial sums, encompassing and extending classical results such as
Cheng Hu, Shangshang Yang, Tonghui Wang
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Stability of reaction-diffusion recurrent neural networks (RNNs) with continuously distributed delays and stochastic influence are considered. Some new sufficient conditions to guarantee the almost sure exponential stability and mean square exponential ...
Chuangxia Huang +3 more
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