The tendency of all humans to experience loneliness at some point in their lives implies that it serves an adaptive function. Building on biological theories of herding in animals, according to which collective movement emerges from local interactions that are based on principles of attraction, repulsion and alignment, we propose an approach that synthesizes these principles with theories of loneliness in humans. We present here the 'herding model of loneliness' that extends these principles into the psychological domain. We hold that these principles serve as basic building blocks of human interactions and propose that distorted attraction and repulsion tendencies may lead to inability to align properly with others, which may be a core component in loneliness emergence and perpetuation. We describe a neural model of herding in humans and suggest that loneliness may be associated with altered interactions between the gap/error detection, reward signaling, threat and observation-execution systems. The proposed model offers a framework to predict the behavior of lonely individuals and thus may inform intervention designs for reducing loneliness intensity.
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http://dx.doi.org/10.1093/scan/nsae005 | DOI Listing |
Langmuir
January 2025
School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, P. R. China.
Understanding the interfacial interaction mechanisms between oil and minerals is of vital importance in the applications of petroleum production and environmental protection. In this work, the interactions of dodecane with mica and calcite in aqueous media were investigated by using the drop probe technique based on atomic force microscopy. For the dodecane-mica interactions, the electrical double layer (EDL) repulsion dominated in 10 mM NaCl solution, and a higher pH facilitated the detachment of dodecane.
View Article and Find Full Text PDFChaos
January 2025
School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China.
The precise amplitude and period of neuronal oscillations are crucial for the functioning of neuronal networks. We propose a chain model featuring a repulsive coupling at the first node, followed by attractive couplings at subsequent nodes. This model allows for the simultaneous regulation of both quantities.
View Article and Find Full Text PDFLangmuir
January 2025
School of Advanced Engineering, Kogakuin University, Tokyo 192-0015, Japan.
Arsenocholine-containing methacrylate (MTAsB) inspired by marine organisms was synthesized by the reaction of 2-bromoethyl methacrylate and trimethylarsine to investigate its polymerization behavior and the fundamental properties of the resulting polymer. Controlled radical polymerization of MTAsB proceeded in the presence of a copper catalyst and imidazolium chloride at 60 °C for 8 h to give a water-soluble polycation with a 94% yield. The smaller amount of nonfreezing water and intermediate water of poly(MTAsB) was observed compared with that of the ammonium-containing polycations.
View Article and Find Full Text PDFSoft Matter
January 2025
Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Microfluidic chips are powerful tools for investigating numerous variables including chemical and physical parameters on protein aggregation. This study investigated the aggregation of bovine serum albumin (BSA) in two different systems: a vial-based static system and a microfluidic chip-based dynamic system in which BSA aggregation was induced successfully. BSA aggregation induced in a microfluidic chip on a timescale of seconds enabled a dynamic investigation of the forces driving the aggregation process.
View Article and Find Full Text PDFEur 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.
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