Results 71 to 80 of about 382,964 (309)

Adaptive Harmony Search for Tuned Liquid Damper Optimization under Seismic Excitation

Applied Sciences, 2022
In this study, the tuned liquid damper (TLD) device was optimized by the harmony search (HS) and adaptive harmony search algorithms (AHS). Using the harmony search algorithm, seismic excitations were directed at single and ten-story structures, and TLD ...
Ayla Ocak, Sinan Melih Nigdeli, Gebrail Bekdaş, Sanghun Kim, Zong Woo Geem   +4 more
doaj   +1 more source

The planar cell polarity protein Vangl2 interacts with the PDZ‐domains of Scribble but not with a unique PDZ‐like domain in Inturned

FEBS Letters, EarlyView.
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes, Jan Brysch, Carmen Gelze, Lilli Meier, Daniel Kümmel   +4 more
wiley   +1 more source

Directed search with stochastic resetting and multiple objectives

Journal of Physics Communications
In the present study, the dynamic growth and contraction behavior of nucleated cells in source cells can be simulated as a mathematical process that combines elements such as directed search, stochastic resetting and delay.
Yan Xu, Yiwen Shang
doaj   +1 more source

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice

BMC Bioinformatics, 2013
Background Protein structure prediction is an important but unsolved problem in biological science. Predicted structures vary much with energy functions and structure-mapping spaces.
Rashid Mahmood A, Newton MA Hakim, Hoque Md Tamjidul, Shatabda Swakkhar, Pham Duc, Sattar Abdul   +5 more
doaj   +1 more source

Rapidly Learning Bayesian Networks for Complex System Diagnosis: A Reinforcement Learning Directed Greedy Search Approach

IEEE Access, 2020
Bayesian networks are a popular diagnosis method, whose structures are usually defined by human experts and parameters are learned from data. For the increasing complexity of modern systems, building their structures based on physical behaviors is ...
Wenfeng Zhang, Wenquan Feng, Hongbo Zhao, Qi Zhao   +3 more
doaj   +1 more source

Direction-optimizing Breadth-First Search [PDF]

2012 International Conference for High Performance Computing, Networking, Storage and Analysis, 2012
Breadth-First Search is an important kernel used by many graph-processing applications. In many of these emerging applications of BFS, such as analyzing social networks, the input graphs are low-diameter and scale-free. We propose a hybrid approach that is advantageous for low-diameter graphs, which combines a conventional top-down algorithm along with
Scott Beamer, Krste Asanovic, David A. Patterson 0001   +2 more
openaire   +2 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

PPS-DMIA: Directed Mating With Infeasible Solution Archive in Push and Pull Search for Constrained Multi-Objective Optimization

IEEE Access
This paper proposes PPS-DMIA (Push and Pull Search with Directed Mating and Infeasible Archive), a novel evolutionary approach for constrained multi-objective optimization, which commonly arises in real-world optimization problems characterized by ...
Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato   +3 more
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Search Computing Challenges and Directions [PDF]

, 2010
Search Computing (SeCo) is a project funded by the European Research Council (ERC). It focuses on building the answers to complex search queries like "Where can I attend an interesting conference in my field close to a sunny beach?" by interacting with a constellation of cooperating search services, using ranking and joining of results as the dominant ...
CERI, STEFANO, BRAGA, DANIELE MARIA, CORCOGLIONITI, FRANCESCO, GROSSNIKLAUS, MICHAEL, VADACCA, SALVATORE   +4 more
openaire   +3 more sources