Results 131 to 140 of about 19,884,535 (281)

Nonlinear acoustics in brass instruments using 2D complex modal bases

open access: yesActa Acustica
The modelling approach presented here aims at developing accurate, yet computationally efficient, numerical models of brass instrument resonators including nonlinear propagation, viscothermal losses and radiation effects in 2D axisymmetric domains.
Soares Filipe   +4 more
doaj   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim   +17 more
wiley   +1 more source

Fast Radial Basis Functions in Digital Engineering Applications

open access: yesEngineering Proceedings
Radial Basis Functions (RBFs), since their inception in the 1960s, have emerged as a key tool in digital engineering applications. As interpolators in multidimensional spaces, RBFs play a crucial role both in generic data science problems and in 3D space
Marco Evangelos Biancolini
doaj   +1 more source

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

open access: yesMolecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan   +8 more
wiley   +1 more source

VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems

open access: yesScientific Reports
Reduced Order Models (ROMs) are of considerable importance in many areas of engineering in which computational time presents difficulties. Established approaches employ projection-based reduction, such as Proper Orthogonal Decomposition.
Thomas Simpson   +4 more
doaj   +1 more source

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

open access: yesMolecular 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   +9 more
wiley   +1 more source

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

open access: yesMolecular 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   +12 more
wiley   +1 more source

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

open access: yesMolecular 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   +20 more
wiley   +1 more source

Reduced order models for small-scale turbopumps

open access: yes
openIn this study, the developments of reduced order models using Proper Orthogonal Decomposition (POD) applied to CFD data from small-scale turbopumps are investingated.
MIOLO, MARCO
core  

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