Adaptability

Study applies Bayesian network modelling to predict employment outcomes and match vocational students with suitable majors, achieving 75% predictive accuracy and reducing skill-job mismatches.

Study challenges state-centric views of Chinese cultural engagement by analyzing the Zambia Shaolin Cultural Center as a collaborative assemblage where diverse actors negotiate and adapt practices.

Comparative analysis of growth curves and time series models for projecting adult obesity prevalence in China from 1975 to 2016, highlighting the Logistic model's superior accuracy.

Framework examines blockchain's potential in higher education governance, extending beyond operational credential verification to strategic oversight, funding, and review functions.

Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.

Adaptive BPM system for SMEs integrates machine learning and serverless architecture with cybersecurity, reducing operational costs by 25-30% and improving adaptability by 35-40% in developing.

Study of Indian crested porcupine population density, reproductive timing, and parental behavior across diverse Punjab habitats reveals seasonal variation and flexible social organization patterns.

Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.

Geopolitical risk assessment in aviation: analysis of armed conflict, sanctions, and cyber threats impacting international airport resilience and management strategies.