Results 141 to 150 of about 186,324 (294)

Surrogate-modeling for Pavement Maintenance Scheduling

Data Science for Transportation
Abstract Incorporating traffic dynamics into pavement maintenance scheduling improves decision quality by accounting for user delays, but it introduces significant computational challenges. Existing approaches rely on detailed macroscopic traffic flow models to evaluate the impact of maintenance activities on user.
Abhishek Kumar Prajapati, Ilgin Guler
openaire   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Application of Gaussian process regression as a surrogate modeling method to assess the dynamics of COVID-19 propagation. [PDF]

Procedia Comput Sci, 2022
Matveeva A, Leonenko V.
europepmc   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

CO₂-Optimization of Post-Tensioned Concrete Slab-Bridge Decks Using Surrogate Modeling. [PDF]

Materials (Basel), 2022
Yepes-Bellver L, Brun-Izquierdo A, Alcalá J, Yepes V.   +3 more
europepmc   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Retraction: Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling. [PDF]

PLoS One, 2021
PLOS ONE Editors.
europepmc   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Exploring Digital Twins of Nonlinear Systems through Meta-Modeling with Echo State Networks

Latin-American Journal of Computing
monitoring, and control rely on precise dynamic models that can capture the inherent nonlinearities of chemical systems. However, rigorous modeling of complex industrial processes can be computationally demanding.
Laisa Cristina Juffo Cristina Juffo Campos, Ana Carolina Spindola Rangel Dias, Wellington Betencurte da Silva, Julio Cesar Sampaio Dutra   +3 more
doaj  

A novel approach to inverse design of wind turbine airfoils using tandem neural networks

Wind Energy
The performance of a wind turbine and its efficiency majorly depends on wind‐to‐rotor efficiency. The aerodynamic design of the wind turbine blades using high‐fidelity tools such as adjoint‐computational fluid dynamics (CFD) is accurate but ...
Apurva Anand, Koushik Marepally, M Muneeb Safdar, James D. Baeder   +3 more
doaj   +1 more source