...-bot networks, compared to human-only ones. In two experiments– one where interactants were embedded in a patterned indirect reciprocity network and either knew or did not know that bots were present, and another entailing one-shot interactions between humans and bots– we demonstrate that reputation...

... genes. Promoter sequence comparisons revealed that variation in DNA-binding sites within cis-regulatory regions contributes to gene expression rewiring. Finally, transcriptome–phenotype maps revealed abundant neutral networks connecting diverse QDR transcriptomes with no loss of resistance, hallmarks...

... networks. To test our method, we collected original data in Tanganyika Province of the Democratic Republic of the Congo (N = 5,311), a setting where reliable estimates of crude death rates (CDR) are in high demand. Qualitative fieldwork suggested testing two different types of personal networks...

... by scale mismatches and spatial autocorrelation, both of which are exacerbated by the hierarchical structure of dendritic stream networks. Our goal was to relate lamprey presence–absence to ecological drivers and predict the distribution of lampreys across the Goose Lake basin. Methods Using a data set...

... network designed to encapsulate the multifaceted nature of complex urban mobility within one unified model, bridging the gap between the heterogeneous behaviors of individuals and the collective behaviors emerging from the entire population. As the first generative deep learning model to integrate micro...

... Fisheries Society 2025. 2025 This work is written by (a) US Government employee(s) and is in the public domain in the US. ABSTRACT Objective Digital representations of stream networks are integral components of spatial analyses to describe species distributions and habitat extents, but users should...

... difficult to reconcile with evidence that rate information is linearly conserved in cerebellar signalling. We present an alternative interpretation of cell morphologies and network architecture in the light of linear communication. Parallel fibre synaptic memory has a supporting role in the network...

... substantial noise, leading to high false-positive and low recall rates in existing SV detection algorithms. This paper presents an SV detection method based on graph convolutional networks (GCNs). The model first represents node features through a heterogeneous graph, leveraging the GCN to precisely identify...

...; IFT, inhibition function test; SFT, switching function test; VST, visuospatial sketch test; PLT, phonological loop test. ^*P < 0.05. Fig. 2 Network-level PC changes in WMT and control groups. ^*P < 0.05. Fig. 3 Node-specific PC comparisons between WMT...

... using GeneCards, OMIM, and TTD. A protein–protein interaction (PPI) network was constructed from vortioxetine targets also involved in glioblastoma to identify core (hub) targets, which were then characterized by GO and KEGG pathway enrichment analyses using DAVID. Cytoscape was utilized to generate...

... keys. Hyperledger blockchain technology enables secure medical data sharing, patient visit data storage, and EHR link recording in external databases via multiple channels. After decryption, the Optimized Deep Belief Network–based approach diagnoses epilepsy using real-time EEG datasets...

... theoretical framework. Neuroimaging datasets from 60 MDD and 60 healthy controls were obtained from the Canadian Biomarker Integration Network in Depression database, including structural magnetic resonance imaging (MRI) and resting-state functional MRI (rsfMRI). The cerebral cortex was parcellated using...

... for understanding its etiology and pathogenesis. Network propagation methods have emerged and been widely employed in disease gene prediction, but most of them focus on static biological networks, which hinders their applicability and effectiveness in the study of progressive diseases. Moreover, there is currently...

... deteriorates under strong violations of the identifiability assumption. The software implementation of our method is available as the Python package micodag . Bayesian network Identifiability Mixed-integer programming Structural equation model Page 1 of 17 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20...

... element modeling morphogenesis network science plant development topology Accepted Manuscript Investigating plant morphogenesis using 3D digital organs Tejasvinee A. Mody, Ratula Ray and Kay Schneitz* Plant Developmental Biology, TUM School of Life Sciences, Technical University of Munich, Freising...

... have directly compared the strength of this association with the contribution of other Alzheimer’s disease biomarkers. ^{17 , 18} Network analysis, a technique employed to map covariance topographies in functional neuroimaging that represent patterns of connectivity, ¹⁹ has been...

..., and reproduction in any medium, provided the original work is properly cited. Abstract We introduce RWRtoolkit, a multiplex generation, exploration, and statistical package built for R and command-line users. RWRtoolkit enables the efficient exploration of large and highly complex biological networks generated...

... bimaterial interfaces along fault zones. We detect and analyze FZHW recorded in the waveforms from the local MONGAN (MONitoring of the GANos Fault) seismic network along the Ganos section of the North Anatolian Fault Zone, northwestern Türkiye, between October 2017 and July 2019. MONGAN covers the Ganos...

... for electrophysiological changes induced by drugs. An MEA parameter, network burst frequency (NBF), was increased in a concentration-dependent manner by some of the drugs tested, demonstrating reproducibility. Rats were intraperitoneally or intravenously given the drugs at doses that did and did not cause convulsions...

... on the inner bone surface. Understanding paralysis-induced vasculature changes may help to prevent and treat bone loss in these conditions. botulinum toxin a blood flow mechanical unloading bone loss synchrotron imaging osteocyte network analysis vascular porosity UNCORRECTED MANUSCRIPT Botulinum toxin...