Results 81 to 90 of about 1,195,901 (281)

Multidimensional optimization algorithms numerical results [PDF]

This paper presents some multidimensional optimization algorithms. By using the "penalty function" method, these algorithms are used to solving an entire class of economic optimization problems.
Iulian MIRCEA, Radu R. SERBAN, Radu SERBAN   +2 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

An Application of Modified S-CLSVOF Method to Kelvin-Helmholtz Instability and Comparison with Theoretical Result

Journal of Chemical Engineering of Japan
This study focuses on validating a two-phase flow solver based on the modified Simple Coupled Level Set and Volume of Fluid method (Uchihashi et al. 2023) through viscous Kelvin-Helmholtz instability simulations.
Naoki Shimada, Mako Sato, Yuta Yaegashi, Thorsten Koch, Thi Thai Le   +4 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

An improved arctic puffin optimization-based multi-objective approach with novel cascade dual FOPID control for frequency regulation in standalone microgrids

Energy Reports
Modern standalone microgrids face significant frequency stability challenges due to renewable intermittency, reduced inertia, and load fluctuations. To address this, we propose a novel cascade dual fractional-order proportional(P)–integral(I)–derivative ...
Anh-Tuan Tran, Minh Phuc Duong, Pham Truong, Jae Woong Shim, Chee Peng Lim   +4 more
doaj   +1 more source

Parameter Selection for PSO-Based Hybrid Algorithms and Its Effect on Crack Detection in Cantilever Beams [PDF]

Numerical Methods in Civil Engineering
The importance of the parameters of any optimization algorithm, especially meta-heuristic algorithms that have been created to simplify the solution of optimization problems, is inevitable.
Amin Ghannadiasl, Saeedeh Ghaemifard
doaj   +1 more source

Parallel Deterministic and Stochastic Global Minimization of Functions with Very Many Minima [PDF]

, 2011
The optimization of three problems with high dimensionality and many local minima are investigated under five different optimization algorithms: DIRECT, simulated annealing, Spall’s SPSA algorithm, the KNITRO package, and QNSTOP, a new algorithm ...
Castle, Brent S., Easterling, David R., Madigan, Michael L., Trosset, Michael W., Watson, Layne T.   +4 more
core   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

FEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li, Xi Xiao, Lingbin Qi, Chanyi Li, Sirui Song, Jiaying Qin, Zhigang Xue, Jinfeng Xue, Huaifang Li   +8 more
wiley   +1 more source

UniSchedApi: A comprehensive solution for university resource scheduling and methodology comparison

TESEA, Transactions on Energy Systems and Engineering Applications
This paper introduces UniSchedApi, an API-based solution that revolutionizes optimized university resource scheduling. The primary focus of the research is the detailed evaluation of two automatic resource allocation methods: Tabu Search (TS) and ...
Alexandra La Cruz, Luis Herrera, Jeisson Cortes, Andrés García, Erika Severeyn   +4 more
doaj   +1 more source

Distributed Stochastic Optimization of the Regularized Risk

, 2015
Many machine learning algorithms minimize a regularized risk, and stochastic optimization is widely used for this task. When working with massive data, it is desirable to perform stochastic optimization in parallel.
Matsushima, Shin, Vishwanathan, S. V. N., Yun, Hyokun, Zhang, Xinhua   +3 more
core