Results 51 to 60 of about 237,776 (294)

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Stochastic Collapse and Decoherence of a Non-Dissipative Forced Harmonic Oscillator

, 2004
Careful monitoring of harmonically bound (or as a limiting case, free) masses is the basis of current and future gravitational wave detectors, and of nanomechanical devices designed to access the quantum regime.
Abramovici A, Adler S L, Adler S L, Adler S L, Agarwal G S, Alberto J, Barish B C, Bocko M F, Bollinger J J Heinzen D J Itano W M Gilbert S L Wineland D J J C Zorn R R Lewis, Braginsky V B, Caves C M, Diósi L, Ghirardi G C, Ghirardi G C, Ghirardi G C, Gisin N, Gisin N, Gorini V, Isar A, Joos E, Karrlein R, Lindblad G, Pearle P, Pearle P, Shöllkopf W, Stephen L Adler, Weinberg S   +26 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

A new method of quantization of classical solutions [PDF]

, 1996
Using stochastic quantization method we derive equations for correlators of quantum fluctuations around the classical solution in the massless phi^4 theory. The obtained equations are then solved in the lowest orders of perturbation theory, and the first
C. Callan, D. V. Antonov, G. Parisi, J. D. Breit, L. N. Lipatov, N. G. Kampen Van, R. Dashen, Yu. A. Simonov   +7 more
core   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Computing the bounds on the loss rates [PDF]

Yugoslav Journal of Operations Research, 2002
We consider an example network where we compute the bounds on cell loss rates. The stochastic bounds for these loss rates using simple arguments lead to models easier to solve.
Fourneau J.-M., Mokdad L., Pekergin N.
doaj   +1 more source

Efficient Process Development for Laser Powder Bed Fusion of a Soft‐Magnetic Metallic Glass Composite

Advanced Engineering Materials, EarlyView.
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand, Priyanka Saha, Vidhiaza Leviandhika, Urban Wiklund, Alexander Elsen, Carolin Zintel, Lena Thorsson, Petra E. Jönsson   +7 more
wiley   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

The use of random process models and machine learning to analyze the operation of a taxi order service [PDF]

ITM Web of Conferences, 2019
The possibilities of constructing an effective forecast of the number of taxi service orders based on mathematical models are considered. A comparative analysis of the variances of forecasting errors for various stochastic models and models based on ...
Andriyanov Nikita, Sonin Vladislav
doaj   +1 more source

Stochastic ordering by g-expectations

, 2020
We derive sufficient conditions for the convex and monotonic g-stochastic ordering of diffusion processes under nonlinear g-expectations and g-evaluations. Our approach relies on comparison results for forward-backward stochastic differential equations and on several extensions of convexity, monotonicity and continuous dependence properties for the ...
Ly, Sel, Privault, Nicolas
openaire   +3 more sources