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Development and validation of a machine learning model for predicting positive blood cultures using vital signs in ICU patients
Genomic and phenotypic characterization of a multidrug-resistant Streptococcus pneumoniae 19 F ST320 isolate from a pediatric SARS-CoV-2 case in Yogyakarta, Indonesia
Human milk-derived Bifidobacterium longum subsp. infantis CCFM1269 alleviates food allergy by modulating gut microbiota and restoring intestinal barrier
Thickness-dependent structural evolution of a-C:H layers formed by one-step Ar/CH4 plasma reduction for direct Cu bonding
Spatial preferences and characteristics of physical activity areas among senior citizens in urban community parks of Nanchang, China
Identification of NFE2L2 as a key biomarker associated with pyroptosis in gliomas through bioinformatics and experiments
Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach
Automated estimation of drain output in postoperative patients using deep learning on clinical images
Deep learning-based multimodal radiopathomics for preoperative prediction of lymph node metastasis in papillary thyroid carcinoma
Neural network aided fractional-order second-order sliding mode controller for frequency stabilization of wind integrated nonlinear power system
In silico analysis of PERK interactions with engineered alpha lactalbumin peptides using molecular dynamics simulations
Infrasound sensation is mediated by intracochlear electrical potentials
An empirical comparison of AI assisted software refactoring tools
Photosensitized oxidation of polyA-polyU-based RNAs incorporating a guanosine with a 1O2 trajectory pattern distinctive from that for DNA
Hypoxic CA9 variant as a potential prognostic marker in gastric and breast cancers
Infraslow modulation of theta synchrony in the hippocampus circuit during REM sleep
Initial lateral stress radiographs predict instability in fragility fractures of the pelvis type I and II: a prospective observational study
Individual and collective gains from cooperation and reciprocity in a dynamic-network Prisoner’s Dilemma driven by extraversion, openness, and agreeableness
Abstract How do stable personality differences shape cooperation when social ties can form and dissolve? We model a repeated Prisoner’s Dilemma on an endogenous network in which three continuous Big Five traits map to transparent local mechanisms: Extraversion sets a target number of partners, Openness determines how broadly agents search beyond friends-of-friends, and Agreeableness sets a baseline willingness to cooperate. At each encounter, agents combine this baseline with the partner’s directly observed history; there are no trait labels, gossip, or global reputations. Ties form when agents are under-connected and are cut when they become over-connected, with cuts prioritising partners who have defected more often. We vary network size (N=30–200), population composition, and the balance between trait-driven and history-driven behaviour. Three robust patterns emerge. First, cooperate first, then reciprocate—high initial willingness to cooperate combined with history-sensitive response—produces systems that are simultaneously more prosperous, fairer, and safer. Second, personality has predictable conditional effects: Agreeableness helps when history matters but hurts when behaviour is mostly trait-driven; Extraversion amplifies the environment; Openness has little net payoff effect. Third, the network reorganises accordingly: degree assortativity stays near zero, whereas agreeable agents increasingly connect to one another when cooperation takes hold.