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From Niche To Norm: Plant-Based Labelling Strategies To Shift Social Norms To Support Plant-Based Food Choices, Houkje Adema, Marleen C. Onwezen, Ellen J. Van Loo, Liam Dwyer, Ellen Van Kleef

Department of Agricultural Economics Faculty Publications

Plant-based labels aim to promote plant-based choices by highlighting which products are plant-based. However, these labels are often applied selectively, leaving many more plant-based products unlabelled. We argue that this may unintentionally communicate that plant-based options are more ‘niche’ rather than the ‘norm’, and thereby hinder normalisation of plant-based consumption. Across two incentive-compatible experiments with representative Dutch samples in a simulated online supermarket, we examined how labelling interventions influence perceived availability of plant-based options, descriptive and injunctive social norms for choosing plant-based, and plant-based choices. In Study 1 (N = 1474), we manipulated the number of plant-based products labelled as …

The Development And Validation Of A Portable Monitoring System For Real-World Prosthetic And Orthotic Performance Assessment, Emily Wyatt

USF Tampa Graduate Theses and Dissertations

Laboratory-based motion capture systems are widely used for gait analysis but are limited by high cost, infrastructure requirements, and restricted external validity. Inertial measurement units (IMUs) offer a portable and low-cost alternative for assessing gait in both controlled and real-world environments; however, their accuracy and clinical utility require validation. The purpose of this thesis was to develop and evaluate a portable monitoring system using IMUs to quantify spatiotemporal gait parameters and gait asymmetry in both laboratory and community settings, with a focus on prosthetic and orthotic users.

Phase 1 of this study evaluated the agreement between IMU-derived gait metrics and …

Interview No. 1838, Victor J. Perches

Combined Interviews

Victor J. Perches recounts his childhood in South El Paso, along with his attendance at Douglass Elementary, Guillen Middle School, and Bowie High School in the 1970s and 1980s. According to Victor, Douglas Elementary was a very safe and supportive place. The teachers provided support for students who had difficulty succeeding due to economic problems in the neighborhood . He recalls there were meals, activities, and other events available to students who lived in Salazar Housing Project, making them less likely to join gangs due to being occupied. Perches talked candidly about the social situation in his area, poverty, gang …

Child Protection Workers’ Perceptions Of Burnout And Work Dissatisfaction, Ashley-Camille Jackson

Walden Dissertations and Doctoral Studies

Child protection workers work in a stressful and demanding occupation, subject to high staff turnover and inexperienced staff. This situation has created problems for child protection workers in doing their jobs effectively—for example, handling their daily tasks and caseload—leading to potential burnout and work dissatisfaction. Existing literature has explained how burnout begins to develop as a response to chronic exposure to job-related stressors, to a point of emotional exhaustion and reduced personal accomplishment. Researchers have found that work-related conditions have contributed to the development of burnout, especially when attempting to define how one could be overworked and how much labor …

Peruvian Pinniped Teeth Trace Element Data-Tracking Ecosystem Variabilites Through Trace Element Record Found In Peruvian Pinniped Dentin, Dimitrios Giarikos, Amy Hirons, Ally E. Sheehan, Radleigh Santos

SECLER Data

The South American sea lion (Otaria byronia; SASL) and the Peruvian fur seal (Arctocephalus australis; PFS) are apex predators within the Humboldt Current ecosystem, where population dynamics respond to both natural variability and anthropogenic pressures, including El Niño–Southern Oscillation (ENSO) events and coastal mining. This study quantified 18 trace elements (TEs) in canine dentin from both species collected at Punta San Juan, Peru using laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) to evaluate long-term environmental exposure. Because dentin is deposited incrementally, it preserves a chronological chemical archive reflecting ontogenetic shifts in diet and habitat use. Overall, TE concentrations were broadly similar …

From Protocol To Action: Critical Perspectives On Earthquake Preparedness In Mexico, Sandra Vaiciulyte, David A. Novelo-Casanova, Thalia Anagnos, Gerardo Suárez

Faculty Research, Scholarly, and Creative Activity

Purpose – This study explores perceptions and reactions to earthquake preparedness education, earthquake early warning (EEW) systems and earthquake drill protocols in Mexico, as well as potential strategies to make these earthquake preparedness tools more effective and meaningful. Design/methodology/approach – Eleven Focus Groups were conducted with 109 students from diverse academic and social backgrounds of the two largest public universities in Mexico. The findings were validated on a broader participant group using questionnaires, focused solely on the drill, administered to two populations at two distinct institutions following the 2025 National Earthquake Drill in Mexico City. Findings – Focus group findings …

Activation-Guided Layer Selection For Lora, Aditya Dawadikar, Pooja Shyamsundar, Rashmi Vishwanath Bhat, Navrati Saxena

Faculty Research, Scholarly, and Creative Activity

Low-Rank Adaptation (LoRA) has become a widely adopted parameter-efficient fine-tuning (PEFT) technique for large language models (LLMs). LoRA’s benefits stem from its light weight and modular adapters. Standard LoRA applies adapters uniformly across all Transformer layers, implicitly assuming that each layer contributes equally to task adaptation. However, LLMs are found to have internal substructures that contribute in a disproportionate manner. In this work, we provide a theoretical analysis of how LoRA weight updates are influenced by a layer’s activation magnitude. We propose Act-LoRA, a simple activation-guided layer selection strategy for selective Low-Rank Adaptation. We evaluate this strategy for both encoder-only …