Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation

BackgroundCOVID-19 severity is amplified among individuals with obesity, which may have influenced mainstream media coverage of the disease by both improving understanding of the condition and increasing weight-related stigma.ObjectiveWe aimed to measure obesity-related conversations on Facebook and Instagram around key dates during the first year

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Paradigm shifts for sustainable management of water hyacinth in tropical ecosystems: A review and overview of current challenges

For decades, the water hyacinth (WH) has progressively proven to be a prevalent invasive plant with significant environmental and socio-economic impacts.Its successful proliferation is enhanced by climate and hydrodynamic conditions (i.e., temperature, water flow regime, nutrient load) which strengthen the intrinsic characteristics of reproduction

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RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting [version 2; referees: 2 approved]

RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale.Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes.Ultimately, such controlled studies promise to reveal insights into molecular mechanisms of treatment effects, identify biomarkers, and realize persona

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End-to-end prediction of multimaterial stress fields and fracture patterns using cycle-consistent adversarial and transformer neural networks

The prediction of stress, strain fields or fracture patterns, along with other physical quantities as a function of boundary conditions and material microstructure, is an important objective of various physics-based simulation methods like finite element models or molecular dynamics modeling.However, such simulations may be expensive and can be cos

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