Results 101 to 110 of about 51,964 (316)
Almost Sure Uniform Convergence of Stochastic Processes in the Dual of a Nuclear Space [PDF]
C. A. Fonseca-Mora
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Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 more
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Uncertain Zero-One Law and Convergence of Uncertain Sequence
This paper is concerned with situations in which the uncertain measure of an event can only be zero or one, and the uncertain zero-one laws are derived within the framework of uncertainty theory that can be seen as the counterpart of Kolmogorov zero-one ...
Zhiqiang Zhang, Weiqi Liu, Xiumei Chen
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Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
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Various limit theorems for ratios from the uniform distribution
In this paper, we consider the ratios of order statistics in samples from uniform distribution and establish strong and weak laws for these ratios.
Miao Yu, Sun Yan, Wang Rujun, Dong Manru
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Convergence in probability and almost sure with applications
The paper investigates convergence in probability of an adapted real-valued stochastic process when the time is tending to infinity. Provided convergence in law, the author presents conditions equivalent to the convergence in probability. Moreover, an almost surely convergent process is constructed in that case.
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Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge +6 more
wiley +1 more source
Almost sure exponential stability of delayed cellular neural networks
The stability of stochastic delayed Cellular Neural Networks (DCNN) is investigated in this paper. Using suitable Lyapunov functional and the semimartingale convergence theorem, we obtain some sufficient conditions for checking the almost sure ...
Chuangxia Huang, Yigang He, Lihong Huang
doaj

