Calvin Digital Commons (Calvin University)
Not a member yet
13315 research outputs found
Sort by
A Business Block, Corsica, S.D.
No full textA postcard with a black and white photograph of a business block in Corsica, S.D.Today, the building is at 210 E. Main St.. Two automobiles are visible in the photograph.
Visible businesses: Fenenga & Co.https://digitalcommons.calvin.edu/hh_bult_postcards/1222/thumbnail.jp
L. Boonstra\u27s Buttermilk Wagon
No full textA black and white photograph postcard of L. Boonstra\u27s Buttermilk Wagon. Possibly in Totowa, New Jersey?https://digitalcommons.calvin.edu/hh_bult_postcards/1894/thumbnail.jp
A House With People On The Porch With Two Trees
No full textA black and white photograph postcard featuring a house, the Keppel home, surrounded by trees with four individuals on a porch.https://digitalcommons.calvin.edu/hh_bult_postcards/2430/thumbnail.jp
View of Walker, Michigan
No full textA black and white photograph postcard of a street view of Walker, Michigan with A.J. Roesink\u27s General Store included. A Model T automobile and an Interurban streetcar are also visible in the photograph.
Potentially a chloride print.https://digitalcommons.calvin.edu/hh_bult_postcards/2493/thumbnail.jp
Voice Interaction With Conversational AI Could Facilitate Thoughtful Reflection and Substantive Revision in Writing
No full textWriting well requires not only expressing ideas but also refining them through revision, a process facilitated by reflection. Prior research suggests that feedback delivered through dialogues, such as those in writing center tutoring sessions, can help writers reflect more thoughtfully on their work compared to static feedback. Recent advancements in multi-modal large language models (LLMs) now offer new possibilities for supporting interactive and expressive voice-based reflection in writing. In particular, we propose that LLM-generated static feedback can be repurposed as conversation starters, allowing writers to seek clarification, request examples, and ask follow-up questions, thereby fostering deeper reflection on their writing. We argue that voice-based interaction can naturally facilitate this conversational exchange, encouraging writers’ engagement with higher-order concerns, facilitating iterative refinement of their reflections, and reduce cognitive load compared to text-based interactions. To investigate these effects, we propose a formative study exploring how text vs. voice input influence writers’ reflection and subsequent revisions. Findings from this study will inform the design of intelligent and interactive writing tools, offering insights into how voice-based interactions with LLM-powered conversational agents can support reflection and revision
Evaluating impacts of the trichloroethylene metabolite S-(1,2-dichlorovyinyl)-L-cysteine on transcriptomic responses and cytokine release in a macrophage model: implications for pregnancy outcomes
No full textTrichloroethylene (TCE) is a volatile synthetic chemical used in various industrial processes like metal degreasing. Large amounts of TCE have been released into the environment. Exposure to TCE can occur through routes, such as inhalation for workers using TCE or ingestion of drinking water in contaminated areas. Macrophages are key immune cells in virtually all tissues in the human body, including the fetal membranes, making them a plausible target for DCVC-induced immunotoxicity. Macrophages are critical for maintaining anti-microbial defenses during pregnancy, but little data exists on TCE immunotoxicity during pregnancy. We previously showed that the TCE metabolite, S-(1,2-dichlorovinyl)-L-cysteine (DCVC), down-regulates immune functions in fetal membranes. To gain insight into immune functions impacted by DCVC, we treated a macrophage cell model (THP-1 cells) with DCVC followed by stimulation with bacterial or fungal toxins relevant for intrauterine infections: lipopolysaccharide (LPS), lipoteichoic acid (LTA), or zymosan. DCVC inhibited toxin-stimulated release of cytokines (e.g. TNFα and IL-1β) for all three microbial toxins. We then conducted benchmark dose modeling and compared benchmark doses for DCVC cytotoxicity vs. cytokine suppression and determined that inhibition of cytokine release was the more potent endpoint compared to cytotoxicity. Finally, we analyzed a previously generated transcriptomic dataset from THP-1 cells stimulated with LPS, with or without DCVC treatment. We identified transcription factors that were enriched with DCVC and/or LPS treatment, including NF-kB and Vitamin D receptor (VDR). Our findings show that DCVC potently alters cellular and molecular macrophage immune responses involved in defense against intrauterine pathogens
Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing
No full textThis paper explores interaction designs for gen-erative AI interfaces that necessitate human in-volvement throughout the generation process.We argue that such interfaces can promotecognitive engagement, agency, and thoughtfuldecision-making. Through a case study in textrevision, we present and analyze two interac-tion techniques: (1) using a predictive-text in-teraction to type the assistant’s response to arevision request, and (2) highlighting potentialedit opportunities in a document. Our imple-mentations demonstrate how these approachesreveal the landscape of writing possibilities andenable fine-grained control. We discuss impli-cations for human-AI writing partnerships andfuture interaction design directions
Does Change in Faith Maturity Reflect Maturation? Establishing Strict Measurement Invariance for the Faith Maturity Scale Across Time
No full textDespite its early focus on religious development and faith maturation, the psychology of religion and spirituality field underutilizes longitudinal designs; work is needed to reduce barriers to the longitudinal study of the processes by which faith matures. As a first step, the present study examines the invariance structure of the Faith Maturity Scale across three time points to assess the reliability and structure of the scale over time. The confirmatory factor analytic method was used to examine data from 572 college students. Configural, metric, scalar, and residual/strict models were tested. Findings support the full strict residual longitudinal invariance model, providing evidence of longitudinal invariance in factor structure, item loadings, intercepts, and residuals. These findings suggest that longitudinal changes in vertical and horizontal faith maturity reflect changes in the constructs themselves rather than artifacts of measurement, providing evidence for continued use of the Faith Maturity Scale longitudinally. (PsycInfo Database Record (c) 2025 APA, all rights reserved
From Listening to Action: Building Effective Community-Academic Partnerships in Environmental Health [Lightning talk]
No full textThe slides from a lightning talk given at the Michigan Premier Public Health Conference in Muskegon, MI on October 28, 2025