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Addressing Bias in Non‐Probability Fisheries Surveys Using Multilevel Regression and Poststratification ApproachesNARA Subscribed
Quantifying harvest of fish stocks is challenging as census data are often unavailable, so surveys are required. Traditional probability‐based surveys use random sampling to obtain representative data that can be scaled to estimate total impact. However, these surveys are costly, so cheaper, non‐probability, citizen science surveys of self‐selected participants are becoming commonplace. Respondents in these surveys may not be...
The current study investigated whether physical activity, sleep quality, nutritional patterns, and their composite moderate mood-gait relationships in healthy young adults. Participants completed a baseline assessment and over the course of the semester up to five repeated walking gait and mood assessments. At baseline, participants completed self-reported measures of current physical activity levels (IPAQ), sleep quality over...
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...
The Product User’s Experience of Circular Economy Behaviors: An Interdisciplinary Delphi-Validated ModelNARA Subscribed
Adoption of Circular Economy (CE) behaviors, such as repair and sharing, remains slow, often due to high costs, inconvenience, limited rewards, or social undesirability. Accelerating the sustainability transition requires that consumers, or product users, experience these behaviors as predominantly positive. To address the lack of a comprehensive framework for understanding such experiences, this paper introduces the Product U...
Effective Connectivity Identifies Divergent Cerebro-Cerebellar Network Organization in SchizophreniaNARA Subscribed
Introduction functional impairments in schizophrenia may arise from disruptions in large-scale brain networks. Emerging evidence highlights the cerebellum’s role in cognitive and affective regulations, yet its directional influence remains poorly understood. This study examines effective connectivity (EC) within cortico-striato-cerebellar networks in schizophrenia and healthy adults. Methods resting-state functional magnetic r...
Clinician Perspectives on the Implementation of a Web-Based Tool to Support Shared Decision-Making for Mid-Adult HPV VaccinationNARA Subscribed
In 2019, the U.S. Advisory Committee on Immunization Practices recommended shared clinical decision-making (SCDM) for HPV vaccination among unvaccinated adults aged 27–45 years (i.e., mid-adult). However, the implementation of this recommendation is challenging. This study assessed a decision tool, HPV Decide, designed to facilitate SCDM for mid-adult HPV vaccination. We used exploratory sequential mixed methods to gather stak...
Connectivity is a multifaceted concept that has important implications for the management and conservation of marine and freshwater fishes. We developed a conceptual framework that encompasses multiple, interrelated categories of connectedness, including landscape (e.g., structural, functional) connectivity and ecological (e.g., trophic, genetic, demographic) connectivity, that together shape the flow of organisms, energy and...
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...
The increasing commercial value of holothurians has triggered considerable scientific interest. The aim of the study was to investigate Holothuria (Roweothuria) poli populations and sediment characteristics in two contrasting coastal areas in the same geographic region. The first (S1) consists of an exposed sandy, low organic material and well-oxygenated seabed. The other (S2) is sheltered, with a silty sediment, high labile o...
Consumer adoption of electrification technologies such as electric vehicles (EVs) and heat pumps (HPs) is critical for mitigating climate change. While previous research has focused on demographic factors, incentives, and technology attributes, we do not yet understand how consumers’ ability to discern fact from fiction about these technologies relates to their adoption interest. In a preregistered study, we conducted an onlin...
Mussels enhance digestive enzyme activity in preparation for stressful fluctuating environmentsNARA Subscribed
Elevated heat and low phytoplankton abundance are physiologically and ecologically challenging marine organisms of the northeast Pacific, including the mussel Mytilus californianus . During low tide, mussels are exposed to warm air and undergo anaerobic metabolism. Tidal variation coincides with daily fluctuations in food availability requiring flexible response systems (e.g., changes in digestive enzyme activity) to maintain...
The expansion and intensification of aquaculture have been widely adopted to support large-scale production, creating a reliance on high-protein feed ingredients such as soybean meal (SBM) and fish meal (FM). These ingredients, however, are costly and unsustainable, emphasizing the need for alternative plant-based protein sources for aquafeeds. This study assessed the nutritional and feed value of fermented rice bran meal (FRB...