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Related Articles from SNS
Scouting ecological drivers of natural enemies in citrus orchards: implications for biological control in the Corsican agricultural landscape
1. Effective pest control requires a better understanding of natural enemy ecology, particularly how their distribution responds to landscape structure and local management. Agricultural intensification has simplified landscapes, reducing biodiversity and constraining pest control. Landscape-scale surveys are therefore needed to identify strategies that support natural enemies in agricultural systems.
Demographic history, geographic distance, and landscape features shape the genetic divergence of wild tigers in northeast India
Habitat fragmentation creates small, isolated populations that are vulnerable to inbreeding, genetic drift, and a high genetic load. For conservation management, it is essential to distinguish contemporary landscape resistance from historical demographic processes as drivers of these genetic patterns, especially for conservation priority regions such as northeast India, which intersects two major tigers conservation landscapes. We studied the genetic structure and landscape connectivity of...
Democracy on Rugged Landscapes: Phase Transitions in Optimal Voting Rules
arXiv:2606.02813v1 Announce Type: new Abstract: Laws and institutions shape individual outcomes through complex interactions with citizens' diverse circumstances, yet how different voting methods navigate this coupled landscape remains poorly understood. We model collective governance as optimization on NK fitness landscapes, where shared bits (laws) are updated by voting while individual bits (personal traits) remain fixed. A cross-dependency parameter $\alpha$ controls how legislation's...
Democracy on Rugged Landscapes: Phase Transitions in Optimal Voting Rules
arXiv:2606.02813v1 Announce Type: cross Abstract: Laws and institutions shape individual outcomes through complex interactions with citizens' diverse circumstances, yet how different voting methods navigate this coupled landscape remains poorly understood. We model collective governance as optimization on NK fitness landscapes, where shared bits (laws) are updated by voting while individual bits (personal traits) remain fixed. A cross-dependency parameter $\alpha$ controls how legislation's...
From Boundary Crossings to Global Connectivity: A Minimal Mechanism in Structured Agent-Based Landscapes
arXiv:2606.07344v1 Announce Type: new Abstract: This study investigates a minimal mechanism through which local mobility heterogeneity produces global reconfiguration in structured agent-based systems. Agents move in a multi-attractor landscape, where a small fraction exhibits higher-mobility exploratory dynamics while the remainder remain locally constrained. By comparing random-walk exploration, interface-sensitive dynamics, novelty-biased exploration, and a flat-landscape control, I...
Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks
arXiv:2604.09412v2 Announce Type: replace-cross Abstract: We study the population loss landscape of two-layer ReLU networks of the form $\sum_{k=1}^K \mathrm{ReLU}(w_k^\top x)$ in a realisable teacher-student setting with Gaussian covariates. We show that local minima admit an exact low-dimensional representation in terms of summary statistics, yielding a sharp and interpretable characterisation of the landscape. We further establish a direct link with one-pass SGD: local minima correspond...
Consensus-based adaptive sampling and approximation for high-dimensional energy landscapes
Announce Type: replace Abstract: We present a consensus-based framework that unifies phase space exploration with posterior-residual-based adaptive sampling for surrogate construction in high-dimensional energy landscapes. Unlike standard approximation tasks where sampling points can be freely queried, physical systems with complex energy landscapes such as molecular dynamics (MD) do not have direct access to arbitrary sampling regions due to the physical constraints and energy barriers; the...
Consensus-based adaptive sampling and approximation for high-dimensional energy landscapes
Announce Type: replace-cross Abstract: We present a consensus-based framework that unifies phase space exploration with posterior-residual-based adaptive sampling for surrogate construction in high-dimensional energy landscapes. Unlike standard approximation tasks where sampling points can be freely queried, physical systems with complex energy landscapes such as molecular dynamics (MD) do not have direct access to arbitrary sampling regions due to the physical constraints and energy...
Topology-aware reconstruction of cellular state landscapes from microscopy using self-supervised learning
Morphology and spatial organisation provide complementary readouts of cellular state. However, reconstructing continuous cellular state landscapes from imaging data remains challenging, particularly in dense biological cultures. Here we present SI-SimCLR, a spatially informed self-supervised learning framework that learns biologically informative representations directly from fluorescence microscopy images without requiring segmentation or manual annotation.
Reconnecting the last wild landscapes of the Javan leopard
Reconnecting the last wild landscapes of the Javan leopard Lisa Lock Scientific Editor Andrew Zinin Lead Editor Research from the University of Twente shows how the Javan leopard, one of the world's rarest big cats, survives on one of the most crowded islands on Earth. Using camera traps and spatial models, Andhika Chandra Ariyanto, a doctoral researcher at ITC, found that the cat depends on a wide range of prey and on recovering forests as much as on the protected reserves that conservation...