Ciencias de la vida

Neptune’s tiny moons may be the wreckage of shattered ancient worlds

14/08/2026 - JWST has uncovered surprising clues that Neptune’s strange inner moons may be the wreckage of an ancient cosmic catastrophe. Researchers detected clay-like minerals on Larissa, Galatea, and...

Marine nematodes exhibit widespread symbiosis, novel chemoautotrophy, and evolutionary conservation of holobiont taxa

13/08/2026 - Microbial symbioses drive the evolutionary and functional diversification of eukaryotic clades, from single-celled protists to large invertebrates. However, our knowledge of host-associated...

Climate change impacts on global wheat (Triticum aestivum L.) production: A comprehensive meta‐analysis of stressors, risks, and adaptation strategies

12/08/2026 - Climate change is exerting profound and multidimensional pressures on global wheat (Triticum aestivum L.) production. Rising temperatures, higher vapor pressure deficit, and more frequent heatwaves...

Genetic diversity and population structure analysis of Ethiopian mustard (Brassica carinata A. Braun) accessions using simple sequence repeat markers

12/08/2026 - Brassica carinata A. Braun is an oilseed that originated in Ethiopia with a wide range of industrial and food applications. Exploring the genetic structure of the crop is crucial for breeding and...

You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors

- Analog Computing-in-Memory (ACiM) accelerates deep neural networks by keeping weights inside memory arrays and executing dot products in the analog domain. However, modern ACiM accelerators are often...

Control of hybrid wind-wave energy systems using reinforcement learning

- Integrating wave energy converters (WECs) with floating offshore wind turbines (FOWTs), to form hybrid wind-wave energy (HWWE) systems, is a promising approach to achieve further cost reduction for...

AIDC Microgrid Vulnerability Assessment Under Computing-Power Coordinated Attacks

- The rapid growth of large language model (LLM) services is accelerating the expansion of AI data centers (AIDCs), intensifying concerns over power system resource adequacy and rising carbon...

High-order Energy-stable and Charge-conservative Lagrangian FEM for 3D Incompressible Inductionless MHD equations with Variable Density

- In this paper, we consider the solution of variable-density, incompressible inductionless magnetohydrodynamic (MHD) equations with moving interface. We propose a high-order, energy-stable and...

Efficient Weak-Entropy PINN for Solving Hyperbolic Conservation Laws

- In recent years, neural networks have significantly advanced numerical solutions of partial differential equations (PDEs). However, solving PDEs with discontinuous solutions, such as hyperbolic...

A fifth-order divergence-free finite difference Hermite WENO scheme for ideal magnetohydrodynamics

- In this paper, we present a fifth-order finite difference divergence-free Hermite weighted essentially non-oscillatory (HWENO) scheme for the ideal magnetohydrodynamics (MHD) equations. In this...

Bayesian inference on beta diversity via feature allocation models with imperfect detection

- Beta diversity quantifies variation in species composition across ecological communities and is fundamental for understanding biodiversity patterns across space and environmental gradients....

Joint return levels of maximum temperature and minimum relative humidity by combining copulas with an extreme value framework for bimodal data

- Climate change has become a growing concern, particularly in regions experiencing increasingly frequent extreme events. In Brasília, the capital of Brazil, significant shifts in climate patterns...

Transfer Learning-Enabled Distortion Compensation for Amplitude-Phase-Time Block Modulation-Based Nonlinear Single-Carrier Wireless Communications

- Power amplifier (PA) nonlinearity and memory effects significantly limit the spectral compliance, reliability, and energy efficiency of communication systems. To address this, we propose a...

Eikonal Regularisation in Physics-Informed Neural Networks for Three-Dimensional Level-Set Advection: Transferability of Two-Dimensional Design Principles

- Physics-informed neural networks applied to the level-set formulation of interface advection commonly augment the residual and initial-condition losses with an eikonal regulariser, penalising the...

AirFlow: Context Preserving and Multi-Rate State Modeling for Air Quality Forecasting

- Accurate air quality forecasting is essential for public health and urban environmental management, but remains challenging because pollutant channels differ in periodicity and distribution drift,...

Satellite Trajectory Optimization via Proximal Policy Optimization for Space Debris Avoidance

- Collision avoidance systems are commonly used to avoid fragmentation events occurring in Low-Earth Orbit (LEO) and Geosynchronous Equatorial Orbit (GEO). However, these events have been growing in...

Life-Cycle Planning of Collector System for Deep-Sea Multi-Spatial Wind-PV-Tidal Farm

- This paper develops a life-cycle optimization model for the collector system (CS) of deep-sea co-located energy farms (CEFs), where co-located energy turbines (CETs) integrate wind, photovoltaic...

A nonlocal nonlinear Schr{ö}dinger model:well-posedness, local limit, and structure-preservingasymptotically compatible Fourier approximations

- In this paper, we introduce a nonlocal nonlinear Schrödinger (NLS) model on periodic domains, and establish its well-posedness, conservation laws, local limit, dispersion properties, and develop a...

High-order fully discrete multi-entropy-stable and bound-preserving schemes for relativistic Euler equations

- A discrete entropy inequality is the principal nonlinear stability estimate available for systems of conservation laws, and evaluating it presupposes a physically admissible state. So far, however,...

Beyond the Limits: Flexible and Congestion-Aware Cluster Scheduling for the Cloud

- Workload scheduling in cloud environments often relies on simplistic assumptions about application resource needs and hardware utilization. Overlooking application-level performance objectives and...

Demand-Aware Cooperative Transmission Design for Energy-Efficient LEO Satellite Networks

- Low Earth orbit (LEO) satellite networks are envisioned as a promising solution for providing ubiquitous connectivity and narrowing the digital divide. The extensive footprint of LEO satellite...