Results 71 to 80 of about 15,810,582 (396)

Enhancing the Performance of the Mont Carlo Simulation for Generating Correlated Data: An Application to Climate Change [PDF]

مهندسی منابع آب, 2016
The Mont Carlo simulation is widely used for data generation based on specified distribution. However, generation of correlated data is only possible for specific distributions (bivariate normal), while it is required to deal with non-normal ...
B. Ghahraman, A. Ghahraman
doaj  

SAR image detection of sea targets based on two-step CFAR detector of KK distribution

The Journal of Engineering, 2019
In the detection of SAR image of sea targets, the simple statistical distribution models such as Gaussian distribution, normal distribution, Weibull distribution etc.
Song Jie, Cai Fu-qing, Liu Heng-yan, Xiong Wei   +3 more
doaj   +1 more source

Spot‐14 and its paralog Spot‐14R regulate expression of metabolic and thermogenic pathway genes in murine brown and beige adipocytes

FEBS Letters, EarlyView.
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez, Cristina Velez‐delValle, Claudia Patricia Hernández‐Mosqueira, Walid Kuri‐Harcuch   +3 more
wiley   +1 more source

SAR image target-detection method based on two-stage CFAR detector with G^0 distribution

The Journal of Engineering, 2019
CFAR detection algorithm is widely used in the typical target detection of SAR images. In SAR image target detection, the simple statistical distribution models, such as Gaussian distribution, normal distribution, Weibull distribution etc., are obviously
Cai Fu-qing, Song Jie, Liu Heng-yan, Xiong Wei   +3 more
doaj   +1 more source

Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation‐based methods

Health Science Reports, 2023
Background and Aims All fields have seen an increase in machine‐learning techniques. To accurately evaluate the efficacy of novel modeling methods, it is necessary to conduct a critical evaluation of the utilized model metrics, such as sensitivity ...
Alexander A. Huang, Samuel Y. Huang
doaj   +1 more source

Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires

Frontiers in Applied Mathematics and Statistics, 2022
The distribution of data points is a key component in machine learning. In most cases, one uses min-max-normalization to obtain nodes in [0, 1] or Z-score normalization for standard normal distributed data. In this paper, we apply transformation ideas in
Daniel Potts, Michael Schmischke
doaj   +1 more source

Normal Stress Distribution of Rough Surfaces in Contact

, 2000
We study numerically the stress distribution on the interface between two thick elastic media bounded by interfaces that include spatially correlated asperities.
Alex Hansen, Barabási, Bouchaud, Bouchaud, Bouchon, Brown, Brown, Brown, Dieterich, Dmowska, Feder, Fernando A. de Oliveira, G. George Batrouni, Hansen, Jean Schmittbuhl, Landau, Lòpez, Mehrabi, Mendelsohn, Måløy, Power, Sahimi, Sayles, Schmittbuhl, Scholz, Simonsen, Stanley   +26 more
core   +2 more sources

STAT3 expression is reduced in cardiac pericytes in HFpEF and its loss reduces cellular adhesion and induces pericyte senescence

FEBS Letters, EarlyView.
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek, Ariane Fischer, Mariano Ruz Jurado, Anita Tamiato, Tara Procida‐Kowalski, Jochen Wilhelm, Dennis Hecker, Maximilian Merten, Felicitas Escher, Badder Kattih, Valentina Puntmann, David John, Marcel H. Schulz, Eike Nagel, Stefanie Dimmeler, Guillermo Luxán   +15 more
wiley   +1 more source

Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers

, 2019
In this paper, an issue of building the RRC model using probability distributions other than beta distribution is addressed. More precisely, in this paper, we propose to build the RRR model using the truncated normal distribution.
B. Bergmann, D Yekutieli, DJ Hand, F Provost, F Wilcoxon, HA David, J Demšar, James O. Berger, JR Quinlan, L Breiman, L Kuncheva, M Friedman, M Hall, M Kurzynski, Marcin Majak, Marek Kurzynski, Marina Sokolova, N Johnson, Pawel Trajdos, R Lysiak, S Garcia, T Cover, T Woloszynski, Y Freund   +23 more
core   +1 more source

Ion channel function of polycystin‐2/polycystin‐1 heteromer revealed by structure‐guided mutagenesis

FEBS Letters, EarlyView.
Mutations in polycystin‐1 (PC1) or polycystin‐2 (PC2) cause autosomal‐dominant polycystic kidney disease (ADPKD). We generated a novel gain‐of‐function PC2/PC1 heteromeric ion channel by mutating pore‐blocking residues. Moreover, we demonstrated that PC2 will preferentially assemble with PC1 to form heteromeric complexes when PC1 is co‐expressed ...
Tobias Staudner, Juthamas Khamseekaew, M. Gregor Madej, Linda Geiges, Bardha Azemi, Christine Ziegler, Christoph Korbmacher, Alexandr V. Ilyaskin   +7 more
wiley   +1 more source