In this paper the dynamical network model of the interactions within a group of mobile robots is investigated and proposed as a possible strategy for controlling the robots without central coordination. Motivated by the results of the analysis of our simple model, we show that the system performance in the presence of noise can be improved by including long-range connections between the robots. Finally, a suitable strategy based on this model to control exploration and transport is introduced.
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http://dx.doi.org/10.1063/1.2166492 | DOI Listing |
J Transl Med
January 2025
Department of Neurosurgery, The Second Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, China.
Background: Spinal cord injury (SCI) triggers a complex inflammatory response that impedes neural repair and functional recovery. The modulation of macrophage phenotypes is thus considered a promising therapeutic strategy to mitigate inflammation and promote regeneration.
Methods: We employed microarray and single-cell RNA sequencing (scRNA-seq) to investigate gene expression changes and immune cell dynamics in mice following crush injury at 3 and 7 days post-injury (dpi).
Eur Phys J E Soft Matter
January 2025
Institut für Theoretische Physik 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91058, Bavaria, Germany.
We employ graph neural networks (GNN) to analyse and classify physical gel networks obtained from Brownian dynamics simulations of particles with competing attractive and repulsive interactions. Conventionally such gels are characterized by their position in a state diagram spanned by the packing fraction and the strength of the attraction. Gel networks at different regions of such a state diagram are qualitatively different although structural differences are subtile while dynamical properties are more pronounced.
View Article and Find Full Text PDFAesthetic Plast Surg
January 2025
Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1, Shuaifuyuan, Dongcheng District, Beijing, China.
Background: Perioral rejuvenation is challenging due to the lack of spatial anatomical understanding of the labiomandibular fold (LMF). The LMF's formation mechanism remains underexplored due to intricate relationships between musculature and subcutaneous structures. This study aimed to clarify the three-dimensional structures of the LMF using micro-computed tomography and histology.
View Article and Find Full Text PDFJ Mol Neurosci
January 2025
Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Alzheimer's disease (AD), a prevalent neurodegenerative disorder, is characterized by mitochondrial dysfunction and immune dysregulation. This study is aimed at developing a risk prediction model for AD by integrating multi-omics data and exploring the interplay between mitochondrial energy metabolism-related genes (MEMRGs) and immune cell dynamics. We integrated four GEO datasets (GSE132903, GSE29378, GSE33000, GSE5281) for differential gene expression analysis, functional enrichment, and weighted gene co-expression network analysis (WGCNA).
View Article and Find Full Text PDFSci Rep
January 2025
Engineering Research Center of Flexible Radiation Protection Technology, Universities of Shaanxi Province, Xi'an Polytechnic University, Xi'an, 710048, Shaanxi, China.
The impact of light radiation, a predominant energy release mechanism in nuclear explosions, on material properties is of critical importance. This investigation employed an artificial light source to replicate the effects of nuclear explosion radiation and utilized a physical information neural network (PINN) to examine the temperature evolution and corresponding changes in the mechanical properties of carbon fiber/epoxy composites (CFEC). A light source simulating nuclear explosion's light radiation was built to irradiate the CFEC, then measure the reflection spectrum and temperature of samples.
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