Species distribution models predict a poleward migration for marine ectotherms with ocean warming. However, a key limitation in current species distribution models (SDM) is that they do not account for population-specific heterogeneity in physiological responses to temperature change resulting from local adaptations and acclimatization. To address this gap, we developed a novel, Physiology Integrated BioClimate Model (PIBCM) that combines habitat-specific metabolic thermal physiological tolerance of a species into a bioclimate envelope model. Using a downscaling approach, we also established a fine-resolution coastal sea-surface temperature data set for 2050-2080, that showed a high degree of location-specific variability in future thermal regimes. Combining predicted temperature data with the PIBCM model, we estimated habitat distribution for a highly eurythermal intertidal minnow, the Atlantic killifish (Fundulus heteroclitus), a species that likely presents a best-case-scenario for coastal vertebrates. We show that the killifish northern boundary shifts southwards, while distinct habitat fragmentation occurs in the southern sub-population (due to migration of adjacent fish populations to the nearest metabolically optimal thermal habitat). When compared to current SDMs (e.g., AquaMaps), our results emphasize the need for thermal physiology integrated range shift models and indicate that habitat fragmentation for coastal fishes may reshape nursery habitats for many commercially and ecologically important species.
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http://dx.doi.org/10.1038/s41598-022-25419-4 | DOI Listing |
Introduction: Managing cognitive demand is critical for aviation safety. Yet, accurately assessing pilot workload during complex flight maneuvers remains challenging. This study evaluated an integrated methodology combining real-time cognitive engagement indicators to provide a comprehensive assessment and assess the reliability of physiological and subjective measures for monitoring operator state.
View Article and Find Full Text PDFIntroduction: As military environments integrate more complex technological systems, operators increasingly require more assistance from automation. When used properly, automation can significantly enhance performance; however, proper use is predicated on the operator's trust in the automation (TIA). TIA, like trust among people, is influenced by biological, psychosocial, and behavioral aspects.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Thoracic Surgery, The Affiliated LiHuiLi Hospital of Ningbo University, Ningbo, Zhejiang, China.
Background: Deoxyribose nucleic acid (DNA) methylation is an important epigenetic modification that plays an important role in the occurrence and development of tumors. Identifying key methylation-driven genes that affect the prognosis of lung squamous cell carcinoma (LUSC) can provide direction for targeted therapy research.
Methods And Results: Methylation and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA).
Adv Anat Pathol
January 2025
Department of Pathology and Laboratory Medicine, Weill Cornell Medicine/New York-Presbyterian Hospital, New York, NY.
Uterine mesenchymal tumors are a diverse group of tumors that can display a broad range of morphologic, immunohistochemical, and molecular profiles and are associated with varied clinical behaviors. In recent years, they have increasingly been classified by their underlying molecular alterations, leading to a more precise separation of diagnostic entities. As their diagnostic criteria have been refined, so too have the features that can be used to predict clinical outcomes.
View Article and Find Full Text PDFEur J Neurol
January 2025
Division of Intensive Care, Department or Anesthesiology, Pharmacology, Intensive Care and Emergency Medicine, University Hospital of Geneva, Geneva, Switzerland.
Background: Outcome prediction in Status epilepticus (SE) aids in clinical decision-making, yet existing scores have limitations due to SE heterogeneity. Serum albumin is emerging as a readily available prognostic biomarker in various clinical conditions. This study evaluates hypoalbuminemia in predicting short- and long-term mortality.
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