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Many types of organisms disperse through heterogeneous environments as part of their life histories. For various models of dispersal, including reaction-advection-diffusion models in continuously varying environments, it has been shown by pairwise invasibility analysis that dispersal strategies which generate an ideal free distribution are evolutionarily steady strategies (ESS, also known as evolutionarily stable strategies) and are neighborhood invader strategies (NIS). That is, populations using such strategies can both invade and resist invasion by populations using strategies that do not produce an ideal free distribution. (The ideal free distribution arises from the assumption that organisms inhabiting heterogeneous environments should move to maximize their fitness, which allows a mathematical characterization in terms of fitness equalization.) Classical reaction diffusion models assume that landscapes vary continuously. Landscape ecologists consider landscapes as mosaics of patches where individuals can make movement decisions at sharp interfaces between patches of different quality. We use a recent formulation of reaction-diffusion systems in patchy landscapes to study dispersal strategies by using methods inspired by evolutionary game theory and adaptive dynamics. Specifically, we use a version of pairwise invasibility analysis to show that in patchy environments, the behavioral strategy for movement at boundaries between different patch types that generates an ideal free distribution is both globally evolutionarily steady (ESS) and is a global neighborhood invader strategy (NIS).
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http://dx.doi.org/10.1007/s00285-019-01339-2 | DOI Listing |
J Chem Phys
September 2025
Department of Physics and Astronomy and Stewart Blusson Quantum Matter Institute, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada.
Polymer dynamics is analyzed through the lens of linear dimensionality reduction methods, in particular principal and time-lagged independent component analysis (tICA). For a polymer undergoing ideal Rouse dynamics, the slow modes identified by these transformations coincide with the conventional Rouse modes. When applied to the Fourier modes of the segment density, we show that tICA generates dynamics equivalent to dynamic self-consistent field theory (D-SCFT) with a wavevector-dependent Onsager coefficient and a free energy functional subject to the random phase approximation.
View Article and Find Full Text PDFBiosens Bioelectron
September 2025
Department of Bioengineering, University of Texas at Dallas, Richardson, TX, 75080, USA; EnLiSense LLC, Allen, TX, 75013, USA. Electronic address:
Rapid detection of live Salmonella typhimurium in food is critical for preventing contamination and protecting public health. Traditional methods, though reliable, are slow, costly, and require centralized labs. Many existing biosensors primarily detect dead bacteria, increasing false-positive risks.
View Article and Find Full Text PDFAnal Chem
September 2025
Department of Chemistry, Southern University of Science and Technology, 518055 Shenzhen, China.
Electrochemiluminescence (ECL) imaging through closed bipolar nanoelectrode arrays (BPnEAs) has emerged as a promising method for in situ label-free wide-field electrochemical imaging. In this study, a cathodic ECL system based on [Ru(bpz)]/SO is combined with the BPnEAs fabricated on silicon nitride membrane windows through focused ion beam nanofabrication, enabling effective bipolar imaging of heterogeneous anodic electrocatalytic reactions. The shape, distribution, size, and material composition of individual electrodes within the array can be precisely controlled.
View Article and Find Full Text PDFSpecific protein detection plays a crucial role in biological analysis and clinical diagnostics, serving as an essential tool for disease diagnosis, therapeutic monitoring, and biological research. However, conventional methods such as immunofixation electrophoresis (IFE) and western blotting (WB) suffer from complex workflows, time-consuming operations, and limited quantification capabilities owing to intricate staining and de-staining procedures. In addition, these traditional immunological detection methods require extensive manual handling and specialized expertise, while low levels of automation restrict their applicability to high-throughput or large-scale analysis scenarios.
View Article and Find Full Text PDFMetal nanoparticles (MNPs) have emerged as vital components in nanotechnology due to their unique ability to concentrate light at the nanoscale. This property makes them especially valuable in biosensing applications, where high sensitivity is essential. At the same time, cellulose-based materials like paper offer an affordable, widely available, and versatile platform, making them ideal for the development of paper-based microfluidic analytical devices (μPADs).
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