Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The duration of interaction events in a society is a fundamental measure of its collective nature and potentially reflects variability in individual behavior. Here we performed a high-throughput measurement of trophallaxis and face-to-face event durations experienced by a colony of honeybees over their entire lifetimes. The interaction time distribution is heavy-tailed, as previously reported for human face-to-face interactions. We developed a theory of pair interactions that takes into account individual variability and predicts the scaling behavior for both bee and extant human datasets. The individual variability of worker honeybees was nonzero but less than that of humans, possibly reflecting their greater genetic relatedness. Our work shows how individual differences can lead to universal patterns of behavior that transcend species and specific mechanisms for social interactions.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749354 | PMC |
| http://dx.doi.org/10.1073/pnas.2002013117 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effectiveness of deep brain stimulation in alleviating treatment-resistant schizophrenia: a systematic review.
Eur J Transl Myol
September 2025
Department of Psychiatry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran; Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran; Community Nursing Research Center, Zahedan University of Medical Sciences, Zahedan.
The complexity of schizophrenia, particularly in cases resistant to traditional pharmacological treatments, poses significant challenges for clinicians and researchers. This systematic review synthesizes existing evidence on the effectiveness of deep brain stimulation in treating treatment-resistant schizophrenia. Utilizing the PRISMA 2020 guidelines, a comprehensive literature search was conducted in March 2025 using the "Connected Papers" tool and other sources such as Web of Science, PubMed, PsycINFO, Embase, and Scopus, focusing on studies related to "deep brain stimulation," "treatment-resistant schizophrenia," and "refractory schizophrenia.
View Article and Find Full Text PDFConfinement, Jamming, and Adhesion in Cancer Cells Dissociating from a Collectively Invading Strand.
PRX Life
February 2025
Department of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA.
When cells in a primary tumor work together to invade into nearby tissue, this can lead to cell dissociations-cancer cells breaking off from the invading front-leading to metastasis. What controls the dissociation of cells and whether they break off singly or in small groups? Can this be determined by cell-cell adhesion or chemotactic cues given to cells? We develop a physical model for this question, based on experiments that mimic aspects of cancer cell invasion using microfluidic devices with microchannels of different widths. Experimentally, most dissociation events ("ruptures") involve single cells breaking off, but we observe some ruptures of large groups (~20 cells) in wider channels.
View Article and Find Full Text PDFConditional deep generative normative modeling for structural and developmental anomaly detection in the fetal brain.
Neuroimage
September 2025
Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston,
Fetal brain development is a complex and dynamic process, and its disruption can lead to significant neurological disorders. Early detection of brain aberrations during pregnancy is critical for optimizing postnatal medical intervention. We propose a deep generative anomaly detection framework, conditional cyclic variational autoencoding generative adversarial network (CCVAEGAN), that can identify structural brain anomalies using fetal brain magnetic resonance imaging.
View Article and Find Full Text PDFWhat determines health insurance ownership in Nepal? Findings from the Nepal multiple indicator cluster survey 2019.
J Health Serv Res Policy
September 2025
Lead - Information System and Population Services, HERD International, Kathmandu, Nepal.
ObjectiveIn Nepal, various health insurance schemes including community-based and national health insurance programmes have been implemented to reduce financial burdens on the population and improve access to health care, towards the goal of Universal Health Coverage. Despite these efforts, there are limited studies on health insurance ownership in Nepal. This study aimed to determine factors influencing insurance ownership at individual and household level in Nepal.
View Article and Find Full Text PDFUnveiling Origins of Mixed Quantum-Well Width Distributions in 2D Ruddlesden-Popper Perovskites via Machine Learning-Enabled Multiscale Simulations.
Small Methods
September 2025
Institute of Applied Mechanics, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei, 106216, Taiwan.
2D lead-halide perovskites have garnered considerable attention owing to their superior environmental stability and tunable optoelectronic properties, which can be precisely controlled through varying quantum well (QW) width (denoted by the integer n). However, the commonly observed phenomenon of mixed QW width distributions poses a major obstacle to achieving optimal device performance, necessitating an in-depth understanding of how QW width distributions depend on chemical composition and thermodynamic stability. In this work, a robust machine learning (ML)-based energy model is developed, rigorously benchmarked against first-principles calculations, enabling extensive molecular-level simulations of 2D perovskites with butylammonium (BA) and phenethylammonium (PEA) spacer cations.
View Article and Find Full Text PDF