Results 51 to 60 of about 106,374 (297)

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Parameters identification of unknown delayed genetic regulatory networks by a switching particle swarm optimization algorithm [PDF]

, 2011
The official published version can be found at the link below.This paper presents a novel particle swarm optimization (PSO) algorithm based on Markov chains and competitive penalized method.
Barabási, Cao, Chen, Chen, Clerc, Elowitz, Jian-an Fang, Kadirkamanathan, Koduru, Krohling, Li, Li, Liang, Mao, Mendes, Paulsson, Raser, Ratnaweera, Ren, Shi, Shi, Smolen, Smolen, Tang, van den Bergh, Wang, Wang, Wang, Wang, Wolpert, Yang Tang, Yao, Yu, Zhan, Zidong Wang   +34 more
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm

Systems and Soft Computing
With the development of information technology, computer technology has been increasingly applied to management. This study aims to address problems such as low efficiency, high cost, and unstable quality in engineering project management.
Xiu Luo, Zhouxin Yi
doaj   +1 more source

Cost Adaptation for Robust Decentralized Swarm Behaviour

, 2018
Decentralized receding horizon control (D-RHC) provides a mechanism for coordination in multi-agent settings without a centralized command center. However, combining a set of different goals, costs, and constraints to form an efficient optimization ...
Coates, Mark, Henderson, Peter, Meger, David, Vertescher, Matthew   +3 more
core   +1 more source

Optimizing Laying Hen Diet using Multi-Swarm Particle Swarm Optimization

TELKOMNIKA (Telecommunication Computing Electronics and Control), 2018
Formulating animal diet by accounting fluctuating cost, nutrient requirement, balanced amino acids, and maximum composition simultaneously is a difficult and complex task. Manual formulation and Linear Programming encounter difficulty to solve this problem.
Gusti Ahmad Fanshuri Alfarisy, Wayan Firdaus Mahmudy, Muhammad Halim Natsir   +2 more
openaire   +2 more sources

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Comprehensive approach to modeling and simulation of dynamic soft-sensing design for real-time building energy consumption

International Journal of Distributed Sensor Networks, 2017
This research develops a multi-layer hybrid soft-sensor model to improve the accuracy of building thermal load prediction using integrated data. The multi-layer hybrid model (autoregressive and particle swarm optimization neural network) hybridizes an ...
Kai Liu, Ting-Zhang Liu, Ping Fang, Zhan-Pei Li   +3 more
doaj   +1 more source

Improved dynamical particle swarm optimization method for structural dynamics [PDF]

, 2019
A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C., Cerrolaza Rivas, Miguel Enrique   +1 more
core   +2 more sources

A Novel Multi-Swarm Approach for Numeric Optimization [PDF]

International Journal of Intelligent Systems and Applications in Engineering, 2018
In order to solve the numeric optimization problems, swarm-based meta-heuristic algorithms can be used as an alternative to solve optimization problems. Meta-heuristic algorithms do not guarantee finding the optimal solution but they produce acceptable solutions in a reasonable computation time.
openaire   +2 more sources