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Technologies support dynamic audit capabilities during turbulence
Explore how technology enables audit firms to build dynamic capabilities during crises. Research on 237 Swedish auditors reveals technology's role in maintaining operational continuity during.
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Survey reviews mathematical modeling of infectious disease dynamics
Mathematical modeling frameworks for infectious disease dynamics integrate computational methods, network analysis, and machine learning to forecast epidemics and optimize public health interventions.
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EIC pseudodata could affect strong coupling estimates
Global PDF analysis of Electron Ion Collider impact on strong coupling determination across conservative and optimistic experimental scenarios within the MSHT framework.
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Explanation of Environmental Behaviors in Iranian Society: A Meta-Analysis of the Studies Published during 2005-2024
Meta-analysis of 54 studies (2005-2024) identifies behavioral tendency and attitudes as key predictors of environmental behavior in Iran, with increasing effect sizes in recent yeu2026
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Review links online misinformation to polarization and distrust
Study of 157 publications revealing how online misinformation fuels ideological polarization and institutional distrust through tri-directional feedback loops, with strategic framework for.
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Framework links biodiversity monitoring data to policy decisions
Unified framework standardizing biodiversity monitoring data collection and policy reporting under the Global Biodiversity Framework, integrating field observations with actionable indicators.
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Topic prioritization supports living guideline relevance
Learn how structured topic prioritization enables living guidelines to remain responsive to emerging evidence while efficiently allocating resources and maintaining clinical relevance in dynamic.
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Higher PCS-MDD linked to greater stress-related emotional variability
Longitudinal study examining how neural vulnerability markers predict stress-related emotional variability in adolescents using polyconnectomic depression risk scoring.
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MLOps optimizations for high-load recommendation systems
Engineering optimization of MLOps processes for high-load recommendation systems integrating streaming features, parameter servers, and online training for latency and quality under scale.
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Yasir Machmud’s victory was shaped by a multi-actor election network
Actor-Network Theory analysis of Yasir Machmud's 2024 legislative election victory in Bone Regency, examining how human and non-human actors form networks that produce electoral success.