In network theory, a question of prime importance is how to assess network vulnerability in a fast and reliable manner. With this issue in mind, we investigate the response to external perturbations of coupled dynamical systems on complex networks. We find that for specific, nonaveraged perturbations, the response of synchronous states depends on the eigenvalues of the stability matrix of the unperturbed dynamics, as well as on its eigenmodes via their overlap with the perturbation vector. Once averaged over properly defined ensembles of perturbations, the response is given by new graph topological indices, which we introduce as generalized Kirchhoff indices. These findings allow for a fast and reliable method for assessing the specific or average vulnerability of a network against changing operational conditions, faults, or external attacks.
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http://dx.doi.org/10.1103/PhysRevLett.120.084101 | DOI Listing |
Cell Signal
January 2025
Department of Breast and Thyroid Surgery, The Qinghai Provincial People's Hospital, Xining 810007, China. Electronic address:
This study utilizes single-cell RNA sequencing data to reveal the transcriptomic characteristics of breast cancer and normal epithelial cells. Nine significant cell populations were identified through stringent quality control and batch effect correction. Further classification of breast cancer epithelial cells based on the PAM50 method and clinical subtypes highlighted significant heterogeneity between triple-negative breast cancer (TNBC) and non-triple-negative breast cancer (NTNBC).
View Article and Find Full Text PDFJ Glob Antimicrob Resist
January 2025
Microbiology Unit, Clinical Pathology Department, Piacenza General Hospital, Piacenza, Italy; Medicine and Surgery Department, University of Parma, Parma, Italy.
Objectives: Infections by Carbapenem-Resistant Enterobacterales in hospitals represent a severe threat but little is known on outbreaks in rehabilitation wards caused by Klebsiella pneumoniae producing Klebsiella pneumoniae Carbapenemase (KPC-Kp). We report an outbreak by KPC-Kp, in a Neurorehabilitation Unit in Italy, analysed through Whole-Genome Sequencing (WGS) for transmission routes reconstruction to improve management of KPC-Kp infections in rehabilitation units.
Methods: We investigated cases and KPC-Kp isolates collected from February to October 2022 from hospital surveillance.
Matrix Biol
January 2025
Department of Surgery, Emory University, Atlanta, GA, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Research Services, Atlanta VA Medical Center, Decatur, GA, USA. Electronic address:
Arterial endothelial cells (ECs) reside in a complex biomechanical environment. ECs sense and respond to wall shear stress. Low and oscillatory wall shear stress is characteristic of disturbed flow and commonly found at arterial bifurcations and around atherosclerotic plaques.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Discipline of Chemistry, The University of Newcastle, University Drive, Newcastle, New South Whales 2308, Australia; School of Chemistry, Monash University, Wellington Road, Melbourne, Victoria 3800, Australia. Electronic address:
Microplastics are ubiquitous and appear to be harmful, however, the full extent to which these inflict harm has not been fully elucidated. Analysing environmental sample data is challenging, as the complexity in real data makes both automated and manual analysis either unreliable or time-consuming. To address challenges, we explored a dense feed-forward neural network (DNN) for classifying Fourier transform infrared (FTIR) spectroscopic data.
View Article and Find Full Text PDFNeural Netw
January 2025
Institute of Cognitive Sciences and Technologies, National Research Council, Padova, Italy. Electronic address:
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, constantly striving to minimize prediction errors to restrict themselves to life-compatible states. Over the past years, many studies have shown how human and animal behaviors could be explained in terms of active inference - either as discrete decision-making or continuous motor control - inspiring innovative solutions in robotics and artificial intelligence.
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