Results 31 to 40 of about 8,651,360 (289)
Ilkom Jurnal Ilmiah, 2017 Identifikasi wajah merupakan masalah sulit terutama ketika informasi dari fitur wajah tidak cukup atau terbatas. Misalnya dalam segmentasi mulut pemelajar, dimana objek yang diamati tergolong rumit, terutama ciri utama wajah yaitu, mata, mulut, hidung ...
Anas Anas
doaj +1 more source
The Column Density Probability Density Function of Cygnus-X
The Astronomical JournalThe density distribution within molecular clouds offers critical insights into their underlying physical processes, which are essential for understanding star formation.
Yuchen Xing, Keping Qiu
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Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +1 more source
The probability density function of spectral correlation function estimates
EURASIP Journal on Advances in Signal ProcessingSince published in 1988, the FFT Accumulation Method (FAM) has been used extensively to compute the Spectral Correlation Function (SCF) and the Spectral Coherence Function (SCoF) to obtain or detect cyclic features of cyclostationary signals.
Miguel Tavares, José Gerald, João Goes
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On the Smoothing of Probability Density Functions
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1958 Summary We consider the estimation of a probability density function by linear smoothing of the observed density. A basis for estimation is obtained by assuming that the ordinates of the true density function have a prior distribution such that adjacent ordinates are highly correlated.
openaire +2 more sources
Probability density estimation with tunable kernels using orthogonal forward regression [PDF]
, 2010 A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia +3 more
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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Not All Probability Density Functions Are Tomograms
EntropyThis paper delves into the significance of the tomographic probability density function (pdf) representation of quantum states, shedding light on the special classes of pdfs that can be tomograms. Instead of using wave functions or density operators on Hilbert spaces, tomograms, which are the true pdfs, are used to completely describe the states of ...
Liubov A. Markovich +2 more
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Probability density estimation from optimally condensed data samples [PDF]
, 2003 The requirement to reduce the computational cost of evaluating a point probability density estimate when employing a Parzen window estimator is a well-known problem.
Chao, H., Girolami, M.
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source