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Cities and regions tackle climate change mitigation but often focus on less effective solutions
Abstract Although the potential for cities and regions to contribute to global mitigation efforts is widely acknowledged, there is little evidence on the effectiveness of subnational mitigation strategies. Here we address this gap through a systematic review of 234 quantitative mitigation case studies. We use a meta-analytical approach to estimate expected greenhouse gas emissions reductions…
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Phylogenetic structure of body shape in a diverse inland ichthyofauna
Abstract Body shape is a fundamental metric of animal diversity affecting critical behavioral and ecological dynamics and conservation status, yet previously available methods capture only a fraction of total body-shape variance. Here we use structure-from-motion (SFM) 3D photogrammetry to generate digital 3D models of adult fishes from the Lower Mississippi Basin, one of the most…
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Association between levels of receptor binding domain antibodies of SARS-CoV-2, receipt of booster and risk of breakthrough infections: LA pandemic surveillance cohort study
Abstract Prevention of COVID-19 with vaccine requires multiple doses and updated boosters to maintain protection; however currently there are no tests that can measure immunity and guide clinical decisions about timing of booster doses. This study examined the association between the risk of COVID-19 breakthrough infections and receptor binding domain (RBD) antibody levels and receipt…
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Exploring Neuropsychiatry: Contemporary Challenges, Breakthroughs, and Philosophical Perspectives
Specialty
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Improved estimates of carbon dioxide emissions from drained peatlands support a reduction in emission factor
Abstract Under the United Nations Framework Convention on Climate Change, Annex 1 countries must report annual carbon dioxide (CO2) emissions from peatlands drained for extraction. However, the Tier 1 emission factor (EF) provided in the IPCC 2014 Wetland Supplement is based mainly on warm season data from a limited number of sites. Here we evaluate…
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Temperature variation in caves and its significance for subterranean ecosystems
Abstract Climate change affects all ecosystems, but subterranean ecosystems are repeatedly neglected from political and public agendas. Cave habitats are home to unknown and endangered species, with low trait variability and intrinsic vulnerability to recover from human-induced disturbances. We studied the annual variability and cyclicity of temperatures in caves vis-à-vis surface in different climatic areas.…
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Retroperitoneal totally endoscopic prosthetic repair of lumbar hernia
Abstract Lumbar hernia is a rare lateral abdominal wall hernia. Various surgical repair strategies have been recorded, but there is currently no unified standard. A Chinese surgeon recently revealed a novel technique for treating primary lumbar hernia called retroperitoneal totally endoscopic prosthetic repair (R-TEP). We have made a further exploration of this method and successfully…
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A positive feedback loop regulation between NOTCH1 and USP11 in T-cell leukemia
To the Editor: NOTCH1 is a transmembrane receptor in a highly conserved signaling pathway that controls cell fate decisions in various organisms and tissues. In contrast, its dysregulation is associated with developmental disorders transformation [1]. NOTCH1 is composed of extracellular and intracellular domains. Ligand binding of NOTCH1 extracellular domain leads to two consecutive cleavage steps…
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Muscle activity variability patterns and stride to stride fluctuations of older adults are positively correlated during walking
Abstract It has been found that fractal-like patterns are present in the temporal structure of the variability of healthy biological rhythms, while pathology and disease lead to their deterioration. Interestingly, it has recently been suggested that these patterns in biological rhythms are related with each other, reflecting overall health or lack of it, due to…
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Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions
The integration of Quality Management System (QMS) principles into the life cycle of development, deployment, and utilization of machine learning (ML) and artificial intelligence (AI) technologies within healthcare settings holds the potential to close the AI translation gap by establishing a robust framework that accelerates the safe, ethical, and effective delivery of AI/ML in day-to-day…