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Angus cattle, originally from Scotland, have been selectively bred for over 400 years, making them one of the most prominent beef breeds globally. Known for their adaptability, natural polled traits, and high-quality beef, Angus cattle have been intensively selected for growth, body size, and feed efficiency. This study investigates the genetic diversity, selection history, and key genomic regions across five Angus populations...
Integrating artificial intelligence and multi-omics data for precision oncology in endometrial cancer: a narrative reviewNARA Subscribed
Endometrial cancer (EC) is the most common gynaecological malignancy worldwide, yet the prognosis for advanced and recurrent disease remains poor, highlighting the need for improved diagnostic, prognostic, and therapeutic decision-making frameworks. Conventional approaches, including histopathology, imaging, and single-layer molecular profiling, provide essential clinical information but may not fully capture EC’s biological h...
Gulf sturgeon are federally listed as “threatened” and are native to seven rivers along the northern Gulf of Mexico. Populations natal to the Pascagoula River have one verified spawning reach in the lower Bouie River, near Hattiesburg, MS. This reach is modified by four aggregate mining areas, referred to as pits. Researchers observed post-spawn Gulf sturgeon over-summering in pits rather than migrating to downstream holding a...
Predicting permeability from Nuclear Magnetic Resonance (NMR) data is a fundamental yet challenging task in reservoir characterization, primarily due to the uncertainty associated with surface relaxivity ( $$\rho $$ ρ ) parameters. In this work, we investigate the feasibility of using Machine Learning (ML) to estimate permeability from $$T_2$$ T 2 distributions and quantify how $$\rho $$ ρ uncertainty affects predictive accura...
Photogrammetry has become an essential tool in medical and research fields for generating high-fidelity 3D models from 2D images. However, optimizing the imaging and processing parameters remains a challenge, particularly for fresh brain specimens, where repeated imaging is not feasible. This study systematically evaluates the impact of various Metashape alignment settings on 3D reconstruction outcomes, analyzing 12,600 config...
Polyendocrine metabolic ovarian syndrome (PMOS) is a complex endocrine–metabolic disorder affecting up to 18% of women worldwide and remains the leading cause of anovulatory infertility. Despite extensive research, current treatments primarily target symptoms, including menstrual irregularities, hyperandrogenism, and metabolic dysfunction, without addressing the underlying molecular and tissue-level disturbances. Advances in m...
Patient-Specific Adaptation of a Mechano-Regulatory Bone-Healing Model Using Longitudinal Loading DataNARA Subscribed
Patient-specific simulation frameworks are increasingly used to support orthopaedic trauma decision-making, yet robust coupling of longitudinal loading data to mechano-regulated healing models remains challenging. Here, we present a workflow that links patient-specific finite element mechanics to an established mechano-regulatory reaction-diffusion healing model and updates boundary conditions longitudinally using weekly knee...
Promoting Research Excellence in Down Syndrome: Proceedings of the 5th International Conference of the Trisomy 21 Research SocietyNARA Subscribed
Down syndrome (DS), or trisomy 21 (T21), represents the most common genetic cause of intellectual disability worldwide and is associated with a wide range of medical, developmental, and neurodegenerative conditions, including a universal predisposition to early-onset Alzheimer’s disease (AD). Since its establishment in 2014, the Trisomy 21 Research Society (T21RS) has provided a global forum for advancing DS research across di...
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...
Assembling the Neotropical Tree Flora: Andean Uplift and the Historical Biogeography of the Brazil Nut Family (Lecythidaceae)NARA Subscribed
Aim The assembly of tropical tree floras is complex, involving many lineage‐specific histories; however, focusing on the biogeographic history of diverse clades can reveal general patterns. We investigated the historical biogeography of the ecologically important Brazil nut clade (Lecythidoideae) to: (1) expand prior phylogenies with greater sampling of the early branching Andean‐centered subclades; (2) infer the ages and disp...
Water pollution drives environmental degradation in a seasonally influenced Neotropical coastal riverNARA Subscribed
Aquatic and coastal ecosystems are increasingly altered by human activities, particularly through the removal of riparian vegetation, pollution, urbanization, and biological invasions. This study aimed to assess environmental conditions and identify a gradient of human disturbance in the Guaraguaçu River, located on the coastal plain of southern Brazil and subjected to multiple stressors. To achieve this, we evaluated land use...