Results 81 to 90 of about 23,658 (304)
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Advanced Science, EarlyView.Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
An Analog-Digital Hardware for Parzen-Based Nonparametric Probability Density Estimation
IEEE AccessProbability estimation measures the likelihood of different outcomes in a statistical context. It commonly involves estimating either the parameters or the entire distribution of a random variable.
Djordje Stankovic +4 more
doaj +1 more source
Asymptotic Theory for Zero Energy Density Estimation with Nonparametric Regression Applications [PDF]
A local limit theorem is given for the sample mean of a zero energy function of a nonstationary time series involving twin numerical sequences that pass to infinity.
Peter C. B. Phillips, Qiying Wang
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Advanced Science, EarlyView.Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li +13 more
wiley +1 more source
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density. [PDF]
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas for estimating a smooth density on [0, 1]. We consider a parametrization of Beta distributions in terms of mean and scale parameters and construct a ...
Rousseau, Judith
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Crop Insurance Design and On‐Farm Risk Adaptation
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT The United States spends billions annually on crop insurance premium subsidies, yet the prevailing distance‐based guarantee design unintentionally rewards risk‐taking by linking subsidies to yield variability. We consider a simple redesign: define guarantees in terms of probability so that coverage reflects a consistent likelihood of indemnity.
Gerald Van Tassell, Alan P. Ker
wiley +1 more source
Application of Clustering in the Non-Parametric Estimation of Distribution Density
Nonlinear Analysis, 2006 This paper discusses a multimodal density function estimation problem of a random vector. A comparative accuracy analysis of some popular non-parametric estimators is made by using the Monte-Carlo method.
T. Ruzgas, R. Rudzkis, M. Kavaliauskas
doaj +1 more source
Nonparametric Estimation and Symmetry Tests for Conditional Density Functions. [PDF]
We suggest two new methods for conditional density estimation. The first is based on locally fitting a log-linear model, and is in the spirit of recent work on locally parametric techniques in density estimation.
Hyndman, R.J., Yao, Q.
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How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang +4 more
wiley +1 more source
Feasible Multivariate Nonparametric Estimation Using Weak Separability [PDF]
One of the main practical problems of nonparametric regression estimation is the curse of dimensionality. The curse of dimensionality arises because nonparametric regression estimates are dependent variable averages local to the point at which the ...
Joris Pinkse
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