Chestnut Hill College is a private Catholic college in the Chestnut Hill section of Philadelphia, Pennsylvania. The college was founded in 1924 as a women's college by the Sisters of St. Joseph. It was originally named Mount Saint Joseph College.In 1980, the college established a coeducational graduate education program and started to admit male students to its undergraduate programs in 2003. As of 2012, a total of 2,318 students were enrolled in Chestnut Hill College's three constituent schools, with fewer than 900 as undergraduates.
Empirical research on perception and cognition has laid the foundation for visualization design, often distilled into practical guidelines intended to support effective chart creation. However, it remains unclear how well these research-driven insights are reflected in the guidelines practitioners actually use. In this paper, we investigate the research-practice gap in visualization design guidelines through a mixed-methods approach. We first collected design guidelines from practitioner-facing sources and empirical studies from academic venues to assess their alignment. To complement this analysis, we conducted surveys and interviews with practitioners and researchers to examine their experiences, perceptions, and challenges surrounding the development and use of design guidelines. Our findings reveal misalignment between empirical evidence and widely used guidelines, differing perspectives between communities, and key barriers that contribute to the persistence of the research-practice gap.
Reactive Oxygen Species (ROS) signaling is a conserved biological process with parallel functions in all evolutionary branches of life. Here, we identify Receptor for Activated C Kinase 1 (RACK1) as a conserved redox-regulated hub that integrates ROS signals to coordinate cellular stress responses. Using cysteine reactivity profiling in intestinal epithelial cells, we demonstrate that RACK1 undergoes NOX1-dependent oxidation at multiple residues, with C286 serving as a key regulatory site. Functional studies reveal that RACK1 negatively regulates NFκB signaling through redox-dependent interactions with upstream signaling complexes. Upon stress stimulation, RACK1 dynamically redistributes into membrane-less condensates that act as redox-privileged microenvironments enriched for hydrogen peroxide. We find that oxidized RACK1 condensates are conserved through evolution with analogous stress response behavior in bacteria and yeast indicating a ubiquitous and ancient stress sensor-effector system. Functionally, redox-dependent RACK1 activity links environmental stress to translational control, with oxidation promoting inhibition of protein synthesis. Furthermore, RACK1 mediates responses to diverse pathogen-associated stimuli, including viral and bacterial infection, highlighting its role in epithelial innate immune responses. Collectively, these findings establish RACK1 as a cellular node for redox signaling, operating within condensate-based microdomains to spatially encode oxidative signals and regulate environmental stress pathways in cells.
Psychotherapy is fundamentally a linguistic enterprise. Therefore, therapists need to understand the basics of how language functions. In this theoretical analysis, we introduce the cybernetic concept of "conversational domains" and use clinical examples to illustrate its relevance in the clinic. Conversational domains determine the questions that can be asked and the ways in which they can be answered. Clients often get stuck in narrow domains that do not contain the answers they seek. The job of the therapist is to help clients see beyond the limits of the conversational domain in which they have become ensnared. This can be accomplished primarily in two different ways. The therapist can focus the client's attention on the framework of the current conversation rather than its contents or they can respond to client utterances in oblique ways that shift the conversational trajectory. In this article, we outline the major characteristics of conversational domains and provide examples of the two major strategies for helping clients move from one domain to another.
Objectives:Mobile health (mHealth) technology has been utilized to offer self-management tools to people with pain, including symptom tracking. Existing mobile tracking applications (apps) for chronic pain management have demonstrated reliability, feasibility, improved coping, and reduced health care utilization. Unfortunately, adherence in using a pain app can be problematic with many not using or discontinuing its use early. The current study aimed to investigate the impact that pain self-efficacy, pain conceptualizations, and patient perception of pain care providers, have on engagement with a mobile pain tracking app.Methods:Seventy-six (N=76) individuals with chronic pain downloaded a pain app and completed questionnaires assessing their pain and use of a pain app 3 months after they had downloaded the app. Associations with engagement with the app, defined as the number of daily diaries completed, and demographic and self-report questionnaire data were examined.Results:Results showed that engagement with the app was unrelated to self-efficacy and pain conceptualization but significantly related to positive perceptions of their pain care providers. Patients with more severe pain were found to have lower self-efficacy, less understanding of the biopsychosocial model of pain, and lower satisfaction with their involvement in their pain care decisions. Surprisingly, those who engaged more with the app demonstrated lower self-efficacy as compared with those who used the pain app less.Discussion:These findings highlight the importance of the patient-provider relationship in engaging with mHealth technology for pain management. Results further imply that longer-term use of mHealth tools may not be perceived as adaptive or clinically helpful for certain individuals.
Data visualization creators often lack formal training, resulting in a knowledge gap in design practice. Large language models such as ChatGPT, with their vast internet-scale training data, offer transformative potential to address this gap. In this study, we used both qualitative and quantitative methods to investigate how well ChatGPT can address visualization design questions. First, we quantitatively compared the ChatGPT-generated responses with anonymous online Human replies to data visualization questions on the VisGuides user forum. Next, we conducted a qualitative user study examining the reactions and attitudes of practitioners toward ChatGPT as a visualization design assistant. Participants were asked to bring their visualizations and design questions and received feedback from both Human experts and ChatGPT in randomized order. Our findings from both studies underscore ChatGPT's strengths, particularly its ability to rapidly generate diverse design options, while also highlighting areas for improvement, such as nuanced contextual understanding and fluid interaction dynamics beyond the chat interface. Drawing on these insights, we discuss design considerations for future LLM-based design feedback systems.
