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Mapping the spatial transferability of knowledge-guided machine learning: Application to the prediction of drain flow fraction.
Sci Total Environ
January 2025
Geological Survey of Denmark and Greenland (GEUS), Department of Hydrology, Copenhagen, Denmark.
Machine learning (ML) methods continue to gain traction in hydrological sciences for predicting variables at large scales. Yet, the spatial transferability of these ML methods remains a critical yet underexamined aspect. We present a metamodel approach to obtain large-scale estimates of drain fraction at 10 m spatial resolution, using a ML algorithm (Gradient Boost Decision Tree).
View Article and Find Full Text PDFAging-induced changes in lymphatic muscle cell transcriptomes are associated with reduced pumping of peripheral collecting lymphatic vessels in mice.
Dev Cell
December 2024
Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Electronic address:
Lymphatic muscle cells (LMCs) within the wall of collecting lymphatic vessels exhibit tonic and autonomous phasic contractions, which drive active lymph transport to maintain tissue-fluid homeostasis and support immune surveillance. Damage to LMCs disrupts lymphatic function and is related to various diseases. Despite their importance, knowledge of the gene transcriptional signatures in LMCs and how they relate to lymphatic function in normal and disease contexts is largely missing.
View Article and Find Full Text PDFComparative analysis of niche adaptation strategies of AOA, AOB, and comammox along a gate-controlled river-estuary continuum.
Water Res
December 2024
College of Water Science, Beijing Normal University, Beijing 100875, PR China.
Ammonia oxidizers are key players in the biogeochemical nitrogen cycle. However, in critical ecological zones such as estuaries, especially those affected by widespread anthropogenic dam control, our understanding of their occurrence, ecological performance, and survival strategies remains elusive. Here, we sampled sediments along the Haihe River-Estuary continuum in China, controlled by the Haihe Tidal Gate, and employed a combination of biochemical and metagenomic approaches to investigate the abundance, activity, and composition of ammonia-oxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and complete ammonia oxidizers (comammox).
View Article and Find Full Text PDFComparison of Adequacy of Anaesthesia (AoA) monitors with CONOX monitor regarding sevoflurane consumption during routine general anaesthesia: A randomised clinical trial.
Indian J Anaesth
November 2024
Department of Anaesthesiology and Critical Care, JIPMER, Puducherry, India.
Background And Aims: Adequacy of Anaesthesia (AoA) and CONOX are combined monitors that assess levels of anaesthesia and analgesia and give a comprehensive score. No studies have measured and compared the total consumption of inhaled anaesthetic agents while using these monitors. We designed a study to compare AoA and CONOX in terms of sevoflurane usage, fentanyl usage and recovery from the effects of anaesthesia.
View Article and Find Full Text PDFPredicting high variability in imageability ratings across age groups and its influence on visual word recognition.
Behav Res Methods
December 2024
Univ. Bordeaux, LabPsy, UR 4139, Bordeaux, France.
Article Synopsis
- Imageability, which gauges how easily a word can trigger a mental image, shows significant variability in ratings among different age groups (young, middle-aged, and older adults), raising questions about the reliability of these average ratings.
- Factors contributing to this variability include word length, frequency, emotional content, and the age at which the word is learned, which indicates that younger and older adults may perceive words differently.
- Despite inter-rater disagreements, the study found that imageability still significantly influenced visual word recognition in young adults, suggesting it can predict performance well, but emphasizes caution when dealing with smaller datasets.
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