M. Ho results 413
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Drivers of ecosystem metabolism in temperate kelp forests: A high‐resolution aquatic eddy covariance studyNARA Subscribed
Kelp forests are highly productive coastal ecosystems that sustain organic carbon cycling and diverse food webs; however, their ecosystem metabolism remains insufficiently quantified due to a lack of suitable in situ methods. In this study, the aquatic eddy covariance technique was used to quantify oxygen (O 2 ) flux and net ecosystem metabolism in Ecklonia cava forests along Jeju Island, Korea. We also applied partial least s...
As marine development extends into deep and far-offshore waters, fixed breakwaters become increasingly costly and difficult to construct and may have greater environmental impacts. Floating breakwaters (FBs) offer flexible deployment across a wide range of water depths and have therefore received growing attention. Yet the dominant wave attenuation mechanisms and key hydrodynamic responses differ among FB configurations, makin...
Heterogeneity in the association between APOE ε4 carrier status and dementia risk by modifiable and non-modifiable risk factorsNARA Subscribed
Dementia is a major public health challenge, and Apolipoprotein E ( APOE ) ε4 is strongly associated with all-cause dementia, particularly Alzheimer’s disease (AD). We aim to quantify the overall contribution of modifiable lifestyle, adiposity, socioeconomic status (SES), and health conditions occurring before dementia, to the association between ε4 genotype and the development of all-cause dementia, with AD examined as a majo...
A metabolomic clock of population ageing: cross-cohort validation and associations with frailty and cognitive functionNARA Subscribed
Understanding the links between metabolism, ageing, and age-related phenotypes may clarify the role of ageing in disease onset and improve risk prediction. We conducted a cross-cohort assessment of biological age using broad-spectrum LC–MS metabolomics of 3,686 plasma samples in 2,295 participants, aged 20–89, from the UK Airwave study ( N = 960) and the Irish Longitudinal Study of Ageing ( N = 1,335). The nucleoside N 2 ,N 2...
Synthesis, characterization, and process optimization of natural coagulants from jackfruit and durian seeds for turbidity removalNARA Subscribed
Starch was extracted from jackfruit and durian seeds using distilled water and alkaline methods, with higher yields obtained via distilled water (27.7% and 18.4%, respectively). The extracted starches were cationized using 3-chloro-2-hydroxypropyltrimethylammonium chloride (CTA) to enhance coagulation performance. Characterization confirmed successful functionalization, with particle size increases of 32% (jackfruit) and 45% (...
Synergistic Effects of Acetic Acid and Ethanol on Offspring Production and Gallery Expansion by Fungus-Farming Ambrosia BeetlesNARA Subscribed
Wood-boring ambrosia beetles and their offspring obligately depend on cultivated fungi that they maintain within host trees. Stressed trees produce at least two potent antimicrobials, ethanol and acetic acid, which typically suppress the growth of most fungi. Ethanol facilitates the growth of ambrosia beetles’ fungal mutualists and thus aids in host colonization; however, acetic acid’s effects are unknown. Here, we evaluated t...
The Asia region harbors exceptional chondrichthyan (shark, ray, and chimaera) diversity but faces intense fishing pressure. The Important Shark and Ray Areas (ISRA) process provides a collaborative, evidence-based framework to identify critical habitats and inform spatial management. We assessed ISRAs across the Bay of Bengal, Southeast Asia, and the Northwest Pacific to characterize their extent, ecological significance, and...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...