Results 141 to 150 of about 26,791,362 (287)

Numerical Prediction of Two-Phase Flow through a Tube Bundle Based on Reduced-Order Model and a Void Fraction Correlation. [PDF]

Entropy (Basel), 2021
Dubot C, Allery C, Melot V, Béghein C, Oulghelou M, Bonneau C.   +5 more
europepmc   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

Molecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau, Daniel Pincher, Clifford Young, Nicholas Chappell, Noor A. Lokman, Parul Mittal, Leigh Donnellan, Martin K. Oehler, Doug A. Brooks, Peter Hoffmann   +9 more
wiley   +1 more source

A Data-Driven Space-Time-Parameter Reduced-Order Model with Manifold Learning for Coupled Problems: Application to Deformable Capsules Flowing in Microchannels. [PDF]

Entropy (Basel), 2021
Boubehziz T, Quesada-Granja C, Dupont C, Villon P, De Vuyst F, Salsac AV.   +5 more
europepmc   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

Reduced Order Kalman Filtering without Model Reduction

, 2007
This paper presents all optimal discrete time reduced order Kalman filter. The reduced order filter is used to estimate a linear combination of a subset of the state vector.
Simon, Daniel J.
core  

Overcoming platinum resistance by the disulfiram metabolite CuET in novel preclinical models of human carcinomas

Molecular Oncology, EarlyView.
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis, Tereza Buchtová, Jirina Bartkova, Marie Lund Bay, Christoffer Lynge Halvorsen, Zuzana Machacova, Zdenek Skrott, Martin Mistrik, Ekaterina Dulina, Miguel Andujar‐Sanchez, Estrid Høgdall, Tine Henrichsen Schnack, Claus Høgdall, Berit Jul Mosgaard, Marie Boennelycke, Jacob Brink Laursen, Allan Jensen, Susanne K. Kjær, Tuula Kallunki, Robert Strauss, Jiri Bartek   +20 more
wiley   +1 more source

An outer membrane vesicle‐associated two‐track model for enterotoxigenic Bacteroides fragilis oncogenesis

Molecular Oncology, EarlyView.
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi, Sang‐Hyeon Yoo, Ki‐Jong Rhee   +2 more
wiley   +1 more source

Multi-fidelity reduced-order surrogate modelling

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated.
Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz   +5 more
openaire   +5 more sources

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Stabilizing Control For Higher Order Systems Via Reduced Order Model - A Passivity Based Approach

, 2004
In this paper a methodology for design of stabilizing control for high order system via reduced order model is presented. In the first part a method is proposed for the reduction of original higher order passive system to a lower order stable model ...
Shingare, Prashant, Abhyankar, H. K., Bandyopadhyay, B.   +2 more
core   +1 more source