Results 61 to 70 of about 410,199 (271)
Filomat, 2020 This paper we study and establish the complete convergence and complete moment convergence theorems under a sub-linear expectation space. As applications, the complete convergence and complete moment convergence for negatively dependent random variables with CV (exp (ln? |X|)) < ?, ?
Wu, Qunying, Jiang, Yuanying
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Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
Molecular Oncology, EarlyView.The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Complete Moment Convergence for Arrays of Rowwise φ-Mixing Random Variables
Abstract and Applied Analysis, 2014 We investigate the complete moment convergence for maximal partial sum of arrays of rowwise φ-mixing random variables under some more general conditions. The results obtained in the paper generalize and improve some known ones.
Lulu Zheng, Yanfang Liu, Xuejun Wang
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Complete Convergence and Complete Moment Convergence for Maximal Weighted Sums of Extended Negatively Dependent Random Variables [PDF]
Acta Mathematica Sinica, English Series, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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FEBS Open Bio, EarlyView.This research protocol outlines a workflow for nuclear magnetic resonance (NMR)‐based metabolomics in the agri‐food sector. Using two case studies—strawberry leaves (solid matrix) and wine (liquid matrix)—it details the procedures for sample preparation, data acquisition, and processing.
Andrea Fernández‐Veloso +4 more
wiley +1 more source
Complete convergence of randomly weighted END sequences and its application
Journal of Inequalities and Applications, 2017 We investigate the complete convergence of partial sums of randomly weighted extended negatively dependent (END) random variables. Some results of complete moment convergence, complete convergence and the strong law of large numbers for this dependent ...
Penghua Li, Xiaoqin Li, Kehan Wu
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Complete and complete moment convergence for weighted sums of ρ̃-mixing random variables [PDF]
Journal of Mathematical Inequalities, 2018 Summary: In this paper, we establish complete convergence results and a complete moment convergence result and prove the equivalence of them for weighted sums of \(\tilde{\rho}\)-mixing random vari ables. Our results generalize and improve the results of \textit{L. E. Baum} and \textit{M. Katz} [Trans. Am. Math. Soc. 120, 108--123 (1965; Zbl 0142.14802)
Feng, Fengxiang +2 more
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FEBS Open Bio, EarlyView.Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava +3 more
wiley +1 more source
The Vanishing Moment Method for Fully Nonlinear Second Order Partial Differential Equations: Formulation, Theory, and Numerical Analysis [PDF]
, 2011 The vanishing moment method was introduced by the authors in [37] as a reliable methodology for computing viscosity solutions of fully nonlinear second order partial differential equations (PDEs), in particular, using Galerkin-type numerical methods such
Feng, Xiaobing, Neilan, Michael
core
Aging and Cancer, EarlyView.This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source