Results 81 to 90 of about 1,429,531 (305)

Percolation in cluster-cluster aggregation processes [PDF]

Physical Review E, 1996
RevTex, 5 pages + 7 postscript figures, compressed using "uufiles"
Hasmy, Anwar, Jullien, Rémi
openaire   +4 more sources

Clustering analysis of railway driving missions with niching [PDF]

, 2012
A wide number of applications requires classifying or grouping data into a set of categories or clusters. Most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering.
Jaafar, Amine, Sareni, Bruno, Roboam, Xavier   +2 more
core   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Physical Health Portrait and Intervention Strategy of College Students Based on Multivariate Cluster Analysis and Machine Learning

Applied Sciences
With the rapid development of society and technology, the physical health of university students has become a critical concern, influencing both individual well-being and the national talent pool.
Rong Guo, Rou Dong, Ni Lu, Lin Yu, Chaoxian Chen, Yonglin Che, Jiajin Zhang, Jianke Yang   +7 more
doaj   +1 more source

Cluster–cluster aggregation with mobile impurities [PDF]

Journal of Sol-Gel Science and Technology, 2019
We considered the diffusion-limited cluster–cluster aggregation (DLCA) model in the presence of inert template (mobile impurities) for the simulation of mesoporous materials obtained through sol–gel processes. A computer algorithm based on the off-lattice version of the two-dimensional DLCA model with moving impurities is introduced.
Hashmy, Anwar, Woignier, Thierry, Primera, Juan   +2 more
openaire   +3 more sources

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

A Multidimensional Particle Swarm Optimization-Based Algorithm for Brain MRI Tumor Segmentation

Sensors
Particle Swarm Optimization (PSO) has been extensively applied to optimization tasks in various domains, including image segmentation. In this work, we present a clustering-based segmentation algorithm that employs a multidimensional variant of PSO ...
Zsombor Boga, Csanád Sándor, Péter Kovács   +2 more
doaj   +1 more source

Clustering technique and peer assessment in teaching writing recount text to junior high school students

ELT Forum: Journal of English Language Teaching, 2017
This study was conducted under the consideration of the observation in SMPN 39 Semarang that many students faced problems in learning to write a text.
Eka Yunita Widyawati, Novia Trisanti
doaj   +1 more source

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

FEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav, Bogdan I. Florea, Sebastian Geibel   +2 more
wiley   +1 more source

A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection

IEEE Access
To enhance public safety, crowd detection and prevention systems have essentially become a natural means to manage diverse crowded areas, such as urban settings, transportation hubs, and event venues.
Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan   +6 more
doaj   +1 more source