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Hydro-mechanical properties of compacted chalkNARA Subscribed
Historically, chalk has always been widely used as a building material in public works projects such as dams, dikes and pavements. Given its characteristics as an evolving rock, its properties and behavior are well mastered by its users, not always with rational but rather empirical methods. This study examines the hydro-mechanical behavior of chalk correlating these findings with its physical and microstructural characteristi...
Understanding how demographic dynamics interact with environmental heterogeneity is central to explaining patterns of genomic variation in the marine realm. Indo‐Pacific bottlenose dolphins ( Tursiops aduncus ) occur along most of the Australian coastline, from tropical to temperate waters, encompassing pronounced differences in temperature, salinity, chlorophyll‐a concentration and ocean currents. Using whole‐genome sequencin...
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...
Phenotypic Characterization of Growth and Yield Parameters of Selected Grain Forage Sorghum Accessions for Drought ToleranceNARA Subscribed
Sorghum is a vital cereal crop recognized for its resilience under marginal soil and stress conditions. To identify high-yielding, climate-resilient accessions for breeding, this study implemented a two-stage, dual-year approach that is rarely reported in grain forage sorghum research. First, 26 accessions alongside BARI Jowar-1 were evaluated under well-watered conditions to assess genetic diversity in agronomic traits. Signi...
A Scoping Review of Mosquito Vector Range Shifts: Widespread Expansions and Evidence Gaps in Climate AttributionNARA Subscribed
As global temperatures rise, concerns about shifting mosquito ranges—and accompanying changes in the transmission of malaria, dengue, and other diseases—are mounting. However, systematic evidence for climate‐driven changes in mosquito ranges remains limited. We conducted a scoping review following PRISMA ‐ ScR guidelines of studies documenting expansions or contractions in medically important mosquito species. In total, 178 st...
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...