Results 91 to 100 of about 9,261,553 (282)

The strong law of large numbers for extended negatively dependent random variables

, 2010
A sequence of random variables is said to be extended negatively dependent (END) if the tails of its finite-dimensional distributions in the lower-left and upper-right corners are dominated by a multiple of the tails of the corresponding finite ...
Ng, KW, Kai W. Ng, Anyue Chen, Chen, A, Yiqing Chen, Chen, Y, Anyue Chena, Yiqing Chena, Kai W. Ngb   +8 more
core   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Global sensitivity analysis in stability problems of steel frame structures

Journal of Civil Engineering and Management, 2016
Slender steel frame structures are characterised by a number of imperfections which may reduce their load carrying capacity drastically. This article studies the effects of these imperfections on the load carrying capacity of a single storey steel plane ...
Zdeněk Kala
doaj   +1 more source

Generating Correlated Ordinal Random Values [PDF]

, 2011
Ordinal variables appear in many field of statistical research. Since working with simulated data is an accepted technique to improve models or test results there is a need for providing correlated ordinal random values with certain properties like ...
Leisch, Friedrich, Kaiser, Sebastian, Träger, Dominik   +2 more
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

FEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph, Andrea B. Pham, Kiara E. Bornes, Razan H. Hammad, Chelsea A. Rousseve‐Ross, Thomas M. Huckaba, Terry J. Watt, Tasha B. Toro   +7 more
wiley   +1 more source

Machine learning based survival prediction for liver cancer using cancer registry linked study from the cancer public library database

Scientific Reports
Prognostic factors differ between young and older patients with liver cancer, but research on predictive models is lacking. We aimed to develop mortality prediction models for younger and older patients with liver cancer and identify key variables.
Ha Ye Jin Kang, Wooyeong Jang, Kwang Sun Ryu   +2 more
doaj   +1 more source

Early Warning of Abnormal Operating Modes via Feature Extraction from Cross-Section Frame at Discharge End for Sintering Process

Sensors
Abnormal operating modes in the iron ore sintering process often lead to reduced productivity and inferior sinter quality. The timely early warning of such modes is therefore essential in maintaining stable production and ensuring product quality.
Xinzhe Hao, Sheng Du, Xian Ma, Mengxin Zhao   +3 more
doaj   +1 more source

PREDICTING DEMAND FOR COTTON YARNS [PDF]

Annals of the University of Oradea: Fascicle of Textiles, Leatherwork, 2017
Predicting demand for fashion products is crucial for textile manufacturers. In an attempt to both avoid out-of-stocks and minimize holding costs, different forecasting techniques are used by production managers.
SALAS-MOLINA Francisco, DÍAZ-GARCÍA Pablo   +1 more
doaj  

Multivariate probability distribution for categorical and ordinal random variables

, 2023
We propose a multivariate probability distribution for categorical and ordinal random variables. To this end, we use the Grassmann distribution in conjunction with dummy encoding of categorical and ordinal variables.
Arai, Takashi
core