Fairleigh Dickinson University

Cultivating Social Interprofessional Identity: Service Learning for Post-Pandemic Student, Clinician and Family Development

Date presented: April 25, 2026 Primary Author and Speaker: Lauren Arnone, laurenarnone@hotmail.com

Capacity Utilization and Its Impact on Airline's Financial Performance: Evidence From the U.S. Airline Industry

ABSTRACT Capacity utilization, operationalized as passenger load factor, is the airline industry's primary efficiency metric, yet evidence on its financial return remains inconsistent. We attribute the contradictions to two deficiencies: econometric methods that conflate cross‐se...

Ecological Momentary Assessment Reveals Greater Anxiety and Marked Instability of Urinary Urgency in Overactive Bladder

Abstract Introduction and Hypothesis Overactive bladder (OAB) is highly prevalent and frequently co-occurs with anxiety. Although cross-sectional studies associate anxiety and OAB symptoms, anxiety and lower urinary tract symptoms (LUTS) vary in daily life. We applied ecological...

Plant Voxel Generator (PlantVG): a low-cost semi-automated method for creating voxel models of plant cells

Lodging, the structural failure of herbaceous stems due to abiotic factors like wind, significantly reduces crop yield and is a major challenge to global food security. Improving lodging resistance requires enhancing the stem’s tissue material properties, a complex, high-level ph...

The genome sequence of Dermanura phaeotis (Chiroptera, Phyllostomidae, Stenodermatinae; Miller, 1902)

We present a genome assembly from an individual male Dermanura phaeotis (Chordata; Mammalia; Chiroptera; Phyllostomidae). The genome sequence is 2.2 Gb in span. The majority of the assembly is scaffolded into 30 chromosomal pseudomolecules, with the X and Y sex chromosomes assemb...

Attitudes Toward a University Food Insecurity Program

Food insecurity affects over 30% of United States college and university students. Furthermore, food insecurity has been linked to poor academic performance among college students. This study assesses attitudes toward a food insecurity program, which was implemented at a large, p...

High-accuracy lung region segmentation and injury classification using deep networks

This study developed and evaluated a hybrid deep learning framework for automated lung segmentation and multi-class severity classification in chest CT scans, addressing key methodological gaps including heterogeneous dataset labeling, pseudo-label bias in segmentation, limited i...