Results 61 to 70 of about 106,374 (297)

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Decision-Making of Underwater Cooperative Confrontation Based on MODPSO

Sensors, 2019
This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm.
Na Wei, Mingyong Liu, Weibin Cheng
doaj   +1 more source

Multi-Exemplar Particle Swarm Optimization

IEEE Access, 2020
PSO and its variants have proven to be useful algorithms for tackling a wide range of optimization problems in recent decades. However, PSO and most of its variants only consider the influences caused by global best position and personal historical best ...
Wei Song, Ziyu Hua
doaj   +1 more source

An Airborne Multi-Sensor Task Allocation Method Based on Improved Particle Swarm Optimization Algorithm [PDF]

Xibei Gongye Daxue Xuebao, 2018
The characteristics of airborne multi-sensor task allocation problem are analyzed, and an airborne multi-sensor task allocation model is established. In order to solve the problems of local convergence and slow convergence of the traditional Particle ...

doaj   +1 more source

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes [PDF]

, 2018
We apply numerical methods in combination with finite-difference-time-domain (FDTD) simulations to optimize transmission properties of plasmonic mirror color filters using a multi-objective figure of merit over a five-dimensional parameter space by ...
Atwater, Harry A., Chen, Yuxin, Fleischman, Dagny, Fountaine, Kate T., Song, Jialin, Tokpanov, Yury S., Yue, Yisong   +6 more
core   +1 more source

Dynamic Multi-swarm Particle Swarm Optimization Based on Elite Learning [PDF]

2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
This paper presents a dynamic multi-swarm particle swarm optimization based on an elite learning strategy (DMS-PSO-EL). In DMS-PSO-EL, the whole evolutionary process is divided into a former stage and a later stage. The former and later stages are focus on the exploration and the exploitation, respectively. In the former stage, the entire population is
Xuewen Xia, Yichao Tang, Bo Wei, Ling Gui   +3 more
openaire   +2 more sources

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Dynamic search control-based particle swarm optimization for project scheduling problems

Advances in Mechanical Engineering, 2016
Many machinery manufacturings are categorized as multi-mode resource-constrained project scheduling problems which have attracted significant interest in recent years.
Ruey-Maw Chen, Yin-Mou Shen
doaj   +1 more source

Application of Grey Wolf Particle Swarm Optimization Hybrid Algorithm in Group Control Elevator [PDF]

Jisuanji gongcheng
An improved particle swarm-based multi-objective optimization scheduling algorithm for elevator group control is proposed to address unsatisfactory user experience and system energy consumption in Elevator Group Control Systems(EGCS).
MA Tao, SHE Shigang
doaj   +1 more source

Two-Stage Multi-Swarm Particle Swarm Optimizer for Unconstrained and Constrained Global Optimization

IEEE Access, 2020
This paper presents a new two-stage multi-swarm particle swarm optimizer (TMPSO), which employs the multi-swarm method and takes two-stage different search strategies in the whole iteration process. This new optimizer includes two versions: unconstrained
Qiang Zhao, Changwei Li
doaj   +1 more source