Results 101 to 110 of about 59,334 (307)

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

FEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic [PDF]

The Cryosphere
A novel generation of sea-ice models with elasto-brittle rheologies, such as neXtSIM, can represent sea-ice processes with an unprecedented accuracy at the mesoscale for resolutions of around 10 km.
C. Durand, T. S. Finn, A. Farchi, M. Bocquet, G. Boutin, E. Ólason   +5 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Neural space mapping optimization for EM-based design of RF and microwave circuits [PDF]

, 2000
We review Neural Space Mapping (NSM) optimization for electromagnetic-based design of RF and microwave circuits. NSM optimization exploits our Space Mapping-based neuromodeling techniques to efficiently approximate a suitable mapping at each iteration.
Bandler, John W., Ismail, Mostafa A., Zhang, Qi J., Rayas-Sánchez, José E., Bakr, Mohamed H.   +4 more
core  

Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches

Mathematics
Metaheuristics are powerful optimization techniques that are well-suited for addressing complex combinatorial problems across diverse scientific and industrial domains.
Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Microwave device modeling exploiting generalized space mapping [PDF]

, 2000
We present a comprehensive framework to engineering device modeling which we call Generalized Space Mapping (GSM). GSM significantly enhances the accuracy of available empirical models of microwave devices by utilizing a few relevant full-wave EM ...
Bandler, John W., Ismail, Mostafa A., Rayas-Sánchez, José E.   +2 more
core  

Impact of base points distributions on the polynomial surrogate modeling of a substrate integrated waveguide with microstrip transitions

, 2010
Surrogate modeling using a polynomial approximation of a coarse model of a Substrate Integrated Waveguide (SIW) with microstrip transitions is presented in this paper.
Cordero-Baltazar, D. E., Rayas-Sánchez, José E.   +1 more
core   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Machine learning surrogate for 3D phase-field modeling of ferroelectric tip-induced electrical switching

npj Computational Materials
Phase-field modeling offers a powerful tool for investigating the electrical control of the domain structure in ferroelectrics. However, its broad application is constrained by demanding computational requirements, limiting its utility in inverse design ...
Kévin Alhada–Lahbabi, Damien Deleruyelle, Brice Gautier   +2 more
doaj   +1 more source