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Critical slowing down for predicting controller induced loss of control in quadrotors

- We develop a novel forecasting scheme to anticipate controller induced loss of control (LOC) in quadrotors and evaluate it on real LOC flight data from four different quadrotors. For this, early...

Passive wearable physiology tracks a state-level material-hardship gradient in resting heart rate

- Resting heart rate is an established marker of cardiovascular risk, but population-scale measurement has depended on clinical or survey instruments. We ask whether passively sensed consumer-wearable...

Language as a Material Interface for Creative LLM Interaction

- Although directive prompting is the predominant way to interact with Large Language Models (LLMs), many creative practices rely on language that is open-ended, associative, phonaesthetic, symbolic,...

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification

- Accurate vegetation-community classification is essential for ecological monitoring, habitat assessment, and evidence-based environmental management in heterogeneous landscapes. Existing studies...

MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoning

- Recent Vision-Language Models (VLMs) have achieved remarkable success in visual understanding, driven by the growing availability of high-quality image-text pairs. However, the performance of VLMs...

Validation of a Real-Time Manual Wheelchair Simulator through Biomechanical and Perceptual Measures: A Comparison with Overground Propulsion

- Purpose: Manual wheelchair simulators can provide a safe and controlled environment for propulsion training, biofeedback, and biomechanical assessment. However, their ecological validity must be...

The Fallacy of Sustainable Generative AI: Limitations in EU Environmental Regulation of Data Centres and Paths Forward

- In the age of Artificial Intelligence (AI), Large Language Models, Generative AI and larger frontier AI models, data centres create a significant environmental burden on electricity grids and fresh...

Fast boundary-aware spatial intensity estimation on complex domains

- Spatial intensity maps are routinely used to summarize point patterns on geographically constrained regions, such as islands, coastlines, watersheds, ecological reserves, and administrative areas...

Identifiability of linear stochastic state-space models with application to ecology

- State-space models are dynamical systems defined by a latent and an observed process. In ecology, stochastic state-space models in discrete time are most often used to describe the imperfectly...

Exceptional brain and ecological diversity in the earliest snakes

22/07/2026

Transforming rice production constraints into opportunities: Coordinated innovation for sustainable agrosystems in Asia

17/07/2026 - Rice (Oryza sativa L.) production remains central to global food security, particularly across Asia, where both wetland and upland cultivation systems dominate. These agroecosystems face distinct...

Extraction workflow determines marker-specific recovery and reproducibility in leaf-litter eDNA metabarcoding

16/07/2026 - Forest-floor leaf litter is a dynamic and structurally complex ecological transition zone and thus a promising substrate for terrestrial eDNA metabarcoding. Yet, extraction workflows for this...

Open-Source Intelligence and Music Information Retrieval for Geographic Attribution of Musical Affect and the Ecological Limits of Population Inference

- A common intuition holds that a region's music mirrors the temperament of its people, so that melancholic melodies mark melancholic populations. We test the measurable half of that intuition and...

NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images

- We present NEEDL-Bench, a microscopy detection benchmark for Swiss Needle Cast (SNC), a fungal disease of Douglas-fir trees. Douglas-fir is a keystone species of major ecological and economic...

Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data

- Automatically retrieving videos from large camera-trap datasets remains challenging. Text-to-Video retrieval (TVR) methods based on large video-language models (VLMs) have potential to retrieve...

Graph statistics: An emerging discipline in non-Euclidean data analysis

- The explosive growth of complex data has catalyzed the emergence of graph statistics as a fundamentally new discipline in data science. Unlike traditional statistics, which operates primarily within...

Parameter-Efficient Vision-Language Adaptation with Continuous Metadata Conditioning for Animal Re-Identification

- Long-term animal re-identification (ReID) must remain robust to gradual morphological evolution and seasonal appearance shifts. Although recent vision-language models provide strong pretrained visual...

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps

- Multi-object tracking (MOT) has achieved strong performance on benchmarks dominated by short video sequences. However, such datasets do not adequately evaluate long-term identity preservation, where...

Ecological Pathways to Inclusion: Mesosystemic School-University Transition Partnerships for Students With Specific Learning Difficulties

04/07/2026 - Sage Open, Volume 16, Issue 3, July-September 2026. Students with Specific Learning Difficulties (SpLD) often experience uneven transitions into higher education (HE), shaped less by individual...

Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation

- The accuracy of existing leaf-wood segmentation methods for tree point clouds varies across forest types and sites. Self-supervised learning (SSL) on point clouds has improved the generalization of...

Local equations for the generalized Lotka-Volterra model on sparse asymmetric graphs, by David Machado Pérez, Pietro Valigi, Tommaso Tonolo, Maria Chiara Angelini

07/07/2026 - Real ecosystems are characterized by sparse and asymmetric interactions, posing a major challenge to theoretical analysis. We introduce a method to study the generalized Lotka-Volterra model with...