Robustness (evolution)

Analysis of inertial active particles in harmonic chains reveals multiple dynamical crossovers and non-Gaussian fluctuations, with experimentally testable signatures.

Analysis of seven EU countries reveals environmental taxes do not significantly drive sectoral eco-investments when controlling for economic scale, suggesting need for complementary policy mechanisms.

Colonial legacy and cultural proximity drive outward investment from Arab Maghreb Union countries, with distinct effects across greenfield investments and cross-border acquisitions, 2004–2022.

Formative assessment significantly predicts metacognitive skills in secondary students. A structural equation modeling study with 156 Lima students reveals strong positive associations supporting.

Study of 1958 OECD banks shows that negative interest rate policies reduce loan loss provisioning, with effects varying by inflation, bank size, and specialization.

Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.

VSDM version 0.3 provides Julia and Python tools for computing dark matter scattering rates in anisotropic detector materials through partial rate matrix calculations.

Integrated fuzzy MCDM framework comparing automated and manual warehousing systems across productivity, safety, costs, and flexibility with sensitivity analysis.

Graph neural network framework for assessing flood vulnerability in river basins. Identifies high-risk segments and flood-prone sub-basins by combining hydrological attributes with network topology.

Foundation models outperform conventional satellite methods for tree species classification in mountain forests, achieving high accuracy with minimal training data but requiring nonlinear classifiers.

Historical species composition data reveal how a coastal food web changed structurally over 125 years while maintaining stable trophic organization and energy transfer efficiency.

Study proposes learnable communication graphs for multi-agent systems, enabling dynamic information sharing that adapts to task demands and reduces computational resource consumption.

STORM combines dual vector quantized autoencoders to extract temporal and spatial stock features, creating diverse factor embeddings for improved asset pricing and portfolio management.

Analysis of Peru's mining sector reveals stable long-run equilibrium with global prices, yet slow adjustment to shocks reflects structural rigidity beyond commodity cycles.

Enhanced optimization algorithm for cloud load balancing achieves 25% improvement in resource utilization and outperforms standard metaheuristic approaches in benchmark testing.

Improved black-winged kite optimization algorithm combining multiple strategies to prevent local optima and enhance convergence, with application to predictive modeling.

Quantum-inspired decision framework reveals how AI markets reshape Chinese bank performance structures, showing top performers integrate fintech while legacy systems constrain adaptation.

Econometric analysis of Post Keynesian inflation model using 2002–2024 U.S. data finds diminished robustness and weakened wage-cost relationships during pandemic era.

Study analyzes geopolitical risk's negative impact on stock returns in Vietnam's emerging market, finding that firms sensitive to political uncertainty demand higher expected returns.

XGBoost machine learning model demonstrates superior accuracy for monthly tuberculosis forecasting in coastal urban environments compared to traditional ARIMA and Prophet approaches.