Results 71 to 80 of about 1,446,606 (252)

Dynamic analysis of stochastic transcription cycles [PDF]

, 2011
In individual mammalian cells the expression of some genes such as prolactin is highly variable over time and has been suggested to occur in stochastic pulses.
Davis, Julian R. E., Harper, Claire V., White, Michael R H, Mullins John J., Finkenstädt Bärbel, Davis, Julian R E, See Profile, Mullins, John J, Semprini Sabrina, John J Mullins, Harper Claire V., Sabrina Semprini, Davis Julian R. E., Finkenstaedt, Baerbel, Michael R H White, Friedrichsen, Soenke, Woodcock, Dan J., Spiller, David G., Rand, David A., Mullins, John J., Harper, Claire V; id_orcid, Spiller, David G.; id_orcid, Bärbel Finkenstädt, Woodcock Dan J., Julian R. E. Davis, Woodcock, Dan J, Spiller, David G, David A Rand, Friedrichsen Sönke, Julian R E Davis, David G. Spiller, Michael R. H. White, Ashall Louise, David A. Rand, Friedrichsen, Sönke, John J. Mullins, Dan J. Woodcock, Rand, D. A. (David A.), Spiller David G., White Michael R. H., White, Michael R. H., Louise Ashall, Sönke Friedrichsen, Semprini, Sabrina, Ashall, Louise, Rand, David A, David G Spiller, David A. R, Finkenstädt, Bärbel, Dan J Woodcock, Rand David A., Claire V. Harper, Claire V Harper   +52 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Stochastic Resonant Signaling in Enzyme Cascades [PDF]

, 2007
We observe the phenomenon of stochastic resonant signaling in signal amplification enzyme cascades, where certain optimal reaction rates minimize the average threshold-crossing time.
Papoian, Garegin A., Lan, Yueheng
core   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Stochastic Geometric Analysis of Energy-Efficient Dense Cellular Networks

IEEE Access, 2017
Dense cellular networks (DenseNets) are fast becoming a reality with the large scale deployment of base stations aimed at meeting the explosive data traffic demand.
Arman Shojaeifard, Kai-Kit Wong, Khairi Ashour Hamdi, Emad Alsusa, Daniel K. C. So, Jie Tang   +5 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Stochastic signaling for power constrained communication systems [PDF]

, 2011
Cataloged from PDF version of article.Includes bibliographical references leaves 93-97.In this thesis, optimal stochastic signaling problem is studied for power constrained communications systems.
Göken, Çağrı
core  

Rotary 3D Printing With Integrated Electroplating

Advanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria, Nicola Larovere, Moslem Mohammadi, Gianluca Percoco, Ali Zolfagharian, Gianni Stano   +5 more
wiley   +1 more source