Power System Optimization and StabilityPower Systems Fault DetectionMicrogrid Control and OptimizationOptimal Power Flow DistributionEnergy Load and Power Forecasting
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What are the specific long-term treatment strategies required to mitigate the risk of developing chronic non-communicable diseases in children born to mothers with gestational diabetes mellitus?
Why this gap exists: While the retrieved literature consistently establishes that maternal gestational diabetes mellitus (GDM) increases the long-term risk of cardiometabolic diseases in offspring [1][2][3], it focuses primarily on pathogenesis and risk association rather than defining specific, evidence-based long-term treatment strategies for the children to mitigate these risks.
How do specific policy frameworks regarding social protection and food systems in low-income countries moderate the projected increase in child wasting and maternal undernutrition caused by economic shocks like the COVID-19 pandemic?
Why this gap exists: While the retrieved literature confirms the projected increase in child wasting and maternal undernutrition due to COVID-19 disruptions [0] and explores general concepts of food system resilience [2] and social protection [3], no study directly quantifies how specific policy frameworks moderate these projected outcomes, leaving the core interaction unresolved.
How do specific maternal microbiota profiles (gut, oral, or vaginal) during gestation correlate with the development of gestational diabetes mellitus (GDM) and subsequent long-term metabolic health in offspring?
Why this gap exists: While recent reviews [8] confirm GDM alters maternal gut microbiota and neonatal health, and older studies [0] note dysbiosis across maternal sites, the retrieved evidence lacks direct, longitudinal studies correlating specific gestational maternal microbiota profiles with the *long-term* metabolic health of offspring, leaving the core question unresolved.
Microbes in the Moonlight: How the Gut Microbiota Influences Sleep — arXiv preprint, 2025
What is the comparative efficacy of digital versus in-person delivery of mental health interventions for mitigating the increased risk of perinatal depression and anxiety in low-income and middle-income countries during future pandemic-like disruptions?
Why this gap exists: While abstracts [6] and [8] compare digital and in-person delivery during the pandemic, they are set in high-income contexts (Spain, unspecified high-income), and abstract [7] focuses on LMICs but lacks a comparative digital vs. in-person design, leaving the specific question of comparative efficacy in LMICs unresolved.
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024
What is the comparative effectiveness of telemedicine versus traditional in-person care in maintaining essential antenatal coverage and reducing maternal mortality in low-income and middle-income countries during future health system shocks?
Why this gap exists: While abstracts [4], [7], [8], and [9] discuss digital tools and maternity care in low- and middle-income countries, none provide a direct comparative effectiveness analysis of telemedicine versus in-person care regarding maternal mortality during health system shocks, leaving the specific question unresolved.
What is the comparative efficacy of digital or telehealth lactation support versus traditional face-to-face peer support on breastfeeding exclusivity rates during pandemic-related social restrictions?
Why this gap exists: While Abstract [3] confirms the general effectiveness of digital health interventions on breastfeeding practices and Abstract [0] notes the cancellation of face-to-face peer support during the pandemic, the retrieved evidence does not contain a direct comparative study between digital/telehealth lactation support and traditional face-to-face peer support specifically regarding exclusivity rates during social restrictions.