Supporting the Spectrum Scholarship Program: perspectives from the Northern California and Nevada Medical Library Group.

The immediate past presidents and current president of the Northern California and Nevada Medical Library Group write to raise awareness of the American Library Association Spectrum Scholarship Program, share their approach to supporting Scholars in their region, and encourage Medical Library Association (MLA) chapters and MLA at large to build stronger infrastructures to support Black, Indigenous, and People of Color librarians who are in school and recently graduated.

Formative Research to Inform Market-Based Interventions to Increase Egg Purchase and Consumption in Tigray, Ethiopia.

Animal source foods (ASFs) have a demonstrated ability to improve child health yet are underutilized by many communities faced with malnutrition. Recognizing that improving knowledge about the benefits of consuming ASFs alone is not adequate to change behavior, the Studying Animal Food Markets in Rural Areas (SAFIRA) pilot project planned to test a market-based intervention to increasing the intake of ASFs by children 6-23 months in rural Tigray, Ethiopia. Our process of designing in-market behavior change strategies involved identifying the project's target ASF, cocreating and testing marketing interventions, and understanding barriers and enablers driving key retailer behaviors. Qualitative research methods including focus group discussions, key informant interviews, trials of improved practices, and transect walks were used throughout 2 rounds of formative research. The first round of formative research led the project to focus on eggs, and the second round resulted in an improved understanding of the Tigrayan local food markets and egg consumption. Consumers were receptive to nutrition messaging from trusted community members and consider eggs to be healthy and affordable relative to other ASFs. Despite a willingness on the part of egg retailers in Tigrayan markets to try new practices to market eggs to consumers, formative research revealed that retailers function primarily as aggregators, moving eggs toward urban markets, correcting a foundational assumption that households routinely purchase eggs at local markets. These findings demonstrate the importance of formative research to inform design-especially in the development of context-specific behavior change interventions situated within local marketplaces.

Suitability of Data-Collection Methods, Tools, and Metrics for Evaluating Market Food Environments in Low- and Middle-Income Countries.

Globalization is transforming food environments in low- and middle-income countries (LMICs) with implications for diets and nutrition. However, most food-environment assessments were developed for use in high-income countries. We evaluated the suitability of 113 data-collection assessments (i.e., methods, tools, and metrics) for eight dimensions of informal and formal market food environments for diverse contexts of LMICs. We used a scoring exercise and a survey of experts (n = 27). According to the scoring exercise, 10 assessments (8 methods, 1 tool, and 1 metric) were suitable without modification for informal markets. Suitability for formal markets was markedly higher, with 41 assessments (21 methods, 14 tools, and 6 metrics) found suitable without modification. Experts considered availability, accessibility, price, and affordability the most important dimensions of market food environments to evaluate in LMICs. Market-basket analysis and vendor audits (which include inventories) were ranked as the most suitable methods to assess multiple dimensions of market food environments, including availability, price, affordability, vendor and product characteristics, marketing, and regulation. Gaps in relevant assessments were found for convenience and desirability. Results demonstrate the need for the development, adaptation, and validation of assessments relevant for informal markets in a diverse range of LMIC contexts to support diets, nutrition, and health globally.

Characterization of Visual Scanning Patterns in Air Traffic Control.

Characterization of air traffic controllers' (ATCs') visual scanning strategies is a challenging issue due to the dynamic movement of multiple aircraft and increasing complexity of scanpaths (order of eye fixations and saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize the eye tracking data into simplified visual scanning strategies linguistically expressed by ATCs. As an intermediate step to automate the characterization classification process, we (1) defined and developed new concepts to systematically filter complex visual scanpaths into simpler and more manageable forms and (2) developed procedures to map visual scanpaths with linguistic inputs to reduce the human judgement bias during interrater agreement. The developed concepts and procedures were applied to investigating the visual scanpaths of expert ATCs using scenarios with different aircraft congestion levels. Furthermore, oculomotor trends were analyzed to identify the influence of aircraft congestion on scan time and number of comparisons among aircraft. The findings show that (1) the scanpaths filtered at the highest intensity led to more consistent mapping with the ATCs' linguistic inputs, (2) the pattern classification occurrences differed between scenarios, and (3) increasing aircraft congestion caused increased scan times and aircraft pairwise comparisons. The results provide a foundation for better characterizing complex scanpaths in a dynamic task and automating the analysis process.

Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects.

Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were addressed by (1) developing dynamic areas of interests (AOIs) in the form of either convex or rectangular shapes to represent the moving and shape-changing multielement objects, (2) introducing the concept of AOI gap tolerance (AGT) that controls the size of the AOIs to address the overlapping and visual angle error issues, and (3) finding a near optimal AGT value. The approach was tested in the context of air traffic control (ATC) operations where air traffic controller specialists (ATCSs) interrogated multiple moving aircraft on a radar display to detect and control the aircraft for the purpose of maintaining safe and expeditious air transportation. In addition, we show how eye tracking analysis results can differ based on how we define dynamic AOIs to determine eye fixations on moving objects. The results serve as a framework to more accurately analyze eye tracking data and to better support the analysis of human performance.