Results 101 to 110 of about 17,798 (304)

Optimal Sequential Investigation Rules in Competition Law [PDF]

Although both in US antitrust and European competition law there is a clear evolution to a much broader application of "rule of reason" (instead of per-se rules), there is also an increasing awareness of the problems of a case-by-case approach.
Jürgen-Peter Kretschmer, Georg von Wangenheim, Wolfgang Kerber   +2 more
core  

Performance of a physical surrogate in the sequential approximate optimization of space trusses

, 2011
PurposeThe purpose of this paper is to propose physically based varying fidelity surrogates to be used in structural design optimization of space trusses.
Silvana Maria B. Afonso, Marcelo Ferreira da Silva, Bernardo Horowitz   +2 more
core   +1 more source

On the effect of numerical noise in approximate optimization of forming processes using numerical simulations [PDF]

, 2014
The coupling of Finite Element (FE) simulations with approximate optimization techniques is becoming increasingly popular in forming industry. By doing so, it is implicitly assumed that the optimization objective and possible constraints are smooth ...
Wiebenga, J.H., van den Boogaard, Antonius H.; id_orcid   +1 more
core   +1 more source

Optimal parallelization of a sequential approximate Bayesian computation algorithm [PDF]

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), 2012
Jean-Michel Marin, Pierre Pudlo, Mohammed Sedki   +2 more
openaire   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

Molecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi, Mandy Berndt‐Paetz, Eileen Lerner, Gregoire Najjar, Anca Azoitei, Krishna Pal Singh, Shailendra Kumar Gupta, Olaf Wolkenhauer, Cagatay Günes, Otmar Huber, Marc‐Oliver Grimm, Daniel Steinbach   +11 more
wiley   +1 more source

Constrained Optimization Involving Expensive Function Evaluations: A Sequential Approach

This paper presents a new sequential method for constrained non-linear optimization problems.The principal characteristics of these problems are very time consuming function evaluations and the absence of derivative information.
Brekelmans, R.C.M., Hamers, H.J.M., Hertog, D. den, Driessen, L.   +3 more
core  

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

Estimation of Finite Sequential Games [PDF]

I study the estimation of finite sequential games with perfect information. The major challenge in estimation is computation of high-dimensional truncated integration whose domain is complicated by strategic interaction.
Shiko Maruyama
core  

Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks

Scientific Reports
This study introduces an innovative multi-objective optimization method based on sequential approximation optimization (SAO) and radial basis function (RBF) networks to enhance the injection molding process for liquid silicone optical lenses.
Hanjui Chang, Shuzhou Lu, Yue Sun, Yuntao Lan   +3 more
doaj   +1 more source