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Untargeted Metabolomics Reveals Major Patterns of Metabolic Shifts in Potato Seed Tubers during StorageNARA Subscribed
To obtain comprehensive insight into metabolic changes in potato seed tubers during storage and to identify patterns associated with physiological ageing, we analysed tuber metabolite composition using untargeted metabolomics based on gas and liquid chromatography-mass spectrometry (GC–MS and LC–MS). During two seasons, seed tubers of four contrasting cultivars (Agria, Festien, Innovator, and Lady Claire) were produced in a si...
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...
Local and Landscape‐Level Environmental Conditions Drive Habitat Selection Across Terrestrial Mammal SpeciesNARA Subscribed
Aim Animal movements are a fundamental process affecting communities and ecosystems. Quantifying habitat selection across species and habitats is key for understanding how animals respond to environmental change. Currently, we lack comparative studies that examine how habitat selection varies across species traits and landscapes. We aim to quantify global patterns of habitat selection to help understand the fundamental drivers...
Alzheimer’s disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion te...
Diversity in Resource Use Strategies Promotes Productivity in Young Planted Tree Species MixturesNARA Subscribed
Mixed‐species forestry is a promising approach to enhance productivity, increase carbon sequestration, and mitigate climate change. Diverse forests, composed of species with varying structures and functional trait profiles, may have higher functional and structural diversity, which are attributes relevant to a number of mechanisms that can influence productivity. However, it remains unclear whether the context‐dependent roles...
Multi-centre normative brain mapping of intracranial EEG lifespan patterns in the human brainNARA Subscribed
Understanding healthy human brain function is crucial to identify and map pathological tissue within it. Whilst previous studies have mapped intracranial EEG (icEEG) from non-epileptogenic brain regions, they often neglect age and sex effects. Further, they are limited by small sample sizes due to the modality’s invasive nature. This study substantially expands the subject pool compared to existing literature, to create a mult...
Combining fish tracking methods is a promising way of leveraging the strengths of each approach while mitigating their individual weaknesses. Acoustic telemetry provides presence information as the fish move within receiver range, eliminating the need for tag recovery. Archival tags, on the other hand, record environmental variables on tag retrieval, enabling continuous path reconstruction of a fish beyond coastal regions. Thi...
Predicting the progression of MCI and Alzheimer’s disease on structural brain integrity and other features with machine learningNARA Subscribed
Machine learning (ML) on structural MRI data shows high potential for classifying Alzheimer’s disease (AD) progression, but the specific contribution of brain regions, demographics, and proteinopathy remains unclear. Using Alzheimer’s Disease Neuroimaging Initiative (ADNI) data, we applied an extreme gradient-boosting algorithm and SHAP (SHapley Additive exPlanations) values to classify cognitively normal (CN) older adults, th...
Positive Feedback on Climate Warming by Stream Microbial Decomposers Indicated by a Global Space‐For‐Time Substitution StudyNARA Subscribed
Decomposition of plant litter is a key ecological process in streams, whose contribution to the global carbon cycle is large relative to their extent on Earth. We examined the mechanisms underlying the temperature sensitivity (TS) of instream decomposition and forecast effects of climate warming on this process. Comparing data from 41 globally distributed sites, we assessed the TS of microbial and total decomposition using lit...
Simple GCM Simulations of Rainfall Over Northeast Brazil, Part 1: Systematic Effect of Canonical Sea Surface Temperature PatternsNARA Subscribed
The response of February to April (FMA) Northeast Brazil precipitation to tropical sea surface temperature anomaly (SSTA) patterns is analysed by making ensemble seasonal forecasts with a simple GCM. The physical and dynamical link between the SSTAs and regional precipitation is examined for a set of tropical Pacific and Atlantic SSTAs, both separately and in combination. Five canonical SSTA patterns are considered: El Niño (s...
Simple GCM Simulations of Rainfall Over Northeast Brazil, Part 2: Model Performance for Historical Seasonal ForecastsNARA Subscribed
A dynamical model is used as a simple GCM to perform historical forecasts for rainfall in northeastern Brazil for the years 1982–2020. The model is forced by empirically derived source terms and includes basic parameterisations to simulate vertical diffusion, convection and condensation. Ensemble forecasts with 38 members are initiated on 1st January using persisted tropical sea surface temperature anomalies (SSTAs). Rainfall...