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Women’s basketball team celebrates [3], circa 1987
No full textPhotograph of the Clark University women’s basketball team celebrating, circa 1987.
All photographs in this collection were digitized between 2022 and 2023. The photographs in this collection are part of the Photographs and Media record group of Clark University’s Archives & Special Collections.https://commons.clarku.edu/basketball/1167/thumbnail.jp
Women’s basketball team makes a layup, unknown date
No full textPhotograph of Clark University women’s basketball team member making a layup, unknown date.
All photographs in this collection were digitized between 2022 and 2023. The photographs in this collection are part of the Photographs and Media record group of Clark University’s Archives & Special Collections.https://commons.clarku.edu/basketball/1185/thumbnail.jp
The potential for albedo-induced climate mitigation using no-till management in midwestern U.S. croplands
No full textNo-till management is often recognized for its environmental and economic benefits, but its potential to reduce climate warming is still uncertain. Beyond ongoing debate over its effects on soil carbon storage, no-till also leaves plant residue on the surface, which can reflect more sunlight. This increase in surface reflectivity, called albedo, may help mitigate climate change by reducing the energy absorbed by the land. Here, we assessed this climate benefit of no-till across the U.S. Corn Belt using conservation survey records, county-level tillage data, and satellite observations. We found that no-till increased land surface brightness during the dormant season, reducing absorbed solar energy by an estimated 50 grams of CO2 equivalent per square meter per year. Regionally, this could add up to 24 teragrams of CO2 equivalent per year in potential climate benefits. Areas with low adoption, especially those with dark, carbon-rich soils, offer the greatest opportunity for further mitigation. © The Author(s) 2025
Chat with the ’For You’ Algorithm: An LLM-Enhanced Chatbot for Controlling Video Recommendation Flow
No full textThe rise of short-form video platforms like TikTok, driven by algorithmic recommendations, fosters immersive flow experiences. While users value personalization and engagement, they also seek greater agency over their For You recommendations. This paper designs, prototypes, and evaluates TKGPT, an LLM-enhanced conversational interface that helps users articulate their interests and understand recommendations. Through qualitative interviews and a user study, we examine how the TKGPT influences algorithmic folk theories and the sense of agency. Findings show that users primarily use TKGPT to seek relevant videos, explain preferences, and exert control over the algorithm. The resulting For You videos better reflect user interests, enhance the understanding of algorithm, improve content relevance, and reduce feelings of exploitation. Notably, users’ sense of agency is significantly associated with their improved understanding of how the algorithm works. We discuss the opportunities and challenges of using conversational user interfaces to enhance user control over video recommendations. © 2025 Copyright held by the owner/author(s)
Hiring Preferences of Federally Recognized Tribes: Survey and Analysis
No full textIn the United States, there are currently 574 federally recognized Tribal nations. Both employers and applicants face challenges in the hiring process. Tribes may face challenges finding qualified applicants with the necessary skills for specific roles. A less-qualified employee may result in less impactful program outcomes, lower revenue, discouraged employees, and higher turnover rates. In addition, hiring an employee who doesn’t understand Tribal culture may result in ineffective programs, policies, and/or miscommunication. For those looking to work for a Tribal government, applicants often find challenges in that hiring preferences/policies (P&Ps) are different from Tribe to Tribe and not posted in standard locations. Unenrolled Native Americans may be placed lower on a hiring list or face ineligibility altogether. This research paper, survey and analysis explore these challenges
A forecasting model to predict the availability of staffing, equipment and facility needs for TeLeSANE services
No full textTeleSANEs are expert Sexual Assault Nurse Examiners (SANE) who use video-conferencing technology to ensure access to immediate and quality forensic nursing care in communities with little to no access to such expertise, and in communities in which low patient volume presents a challenge for SANEs to remain confident and competent. Patients who present for care post-assault generally represent a small proportion of emergency department case volume, yet they require specialized care and procedures that take several hours. Efficient and effective implementation of a TeleSANE program relies, in part, on being able to forecast the availability of trained nurses, telehealth equipment and facilities to respond to this episodic occurrence. In this chapter, we develop, apply, and evaluate a Monte Carlo simulation model that can be used to forecast TeleSANE nurse staffing, facility, and remote equipment needs, over a variety of potential scenarios, to help inform system performance and planning. © 2025 by Information Age Publishing. All rights reserved
A multi-criteria geographic information system screening approach for prioritizing response activities following a chemical, biological, or radiological incident
No full textThis paper describes the development of a decision support tool, the Priority Response Environmental Screening Tool (PRESTO), that was designed to provide a framework for analyzing geospatial information. The objective of a PRESTO analysis is to assist the U.S. Environmental Protection Agency (EPA), in partnership with state and local decision-makers, in informing the prioritization of locations for initial cleanup operations aimed at reducing risks to public health and the environment after a natural disaster or chemical, biological, or radiological (CBR) incident. In the event of a natural disaster or release of CBR contaminants, for example, EPA and its partners would need to determine which locations should be prioritized to prevent the spread of contamination and mitigate long-term risks. Decision makers are often hampered by having too little or too much data, such that it is not obvious how relevant data can be incorporated into a decision-making framework. PRESTO provides a flexible and adaptable framework to address the challenges of aggregating data in a meaningful way to facilitate quickly identifying and understanding the resulting information to inform decisions. To demonstrate how PRESTO could inform disaster response planning following a hypothetical CBR release, a 10-mile radius study domain centered on Philadelphia, PA was analyzed. Nine data sets measuring a range of issues reflecting risks to human health and the environment were used for this demonstration. The demonstration showed that there were substantial differences in which locations would be prioritized for response by using data aggregation schemes available within PRESTO for determining priority locations compared to relying on more commonly used data aggregation schemes. This is because PRESTO allows data sets reflecting high risks at a given location to be emphasized, even if other data sets reflect low risks because they represent different issues. Specifically, this analysis showed that in some locations in the northwest of the study area and in center city Philadelphia, very high risks that emanate from exceedingly high population densities (so the possibility that many more people would be affected by contamination) and from large areas with impervious surfaces (which would allow rapid spread of contamination via stormwater) are captured by using PRESTO. However, simpler analyses would not prioritize any locations in the center of the city. PRESTO also makes the data sets and associated issues that drive specific prioritization decisions readily accessible, such that motivations for decisions are transparent via easily understood graphical displays. © 2025 by Information Age Publishing. All rights reserved
The two-halide super exchange pathway in Cu(II) chains: synthesis, structure, and magnetic behavior of (2-X-3-methylpyridinium)2[CuX′4] (X, X′ = Cl, Br)
No full textReaction of CuX′2ꞏnH2O (X′ = Br, Cl) with 2-X-3-methylpyridine (X = Br, Cl) in aqueous acid gave (2-chloro-3-methylpyridinium)2[CuCl4] (1), (2-bromo-3-methylpyridinium)2[CuCl4] (2), (2-chloro-3-methylpyridinium)2[CuBr4] (3), (2-bromo-3-methylpyridinium)2[CuBr4] (4), while the reaction of 2-chloro-3-methylpyridinium bromide with CuBr2 in acetonitrile yielded the copper(II) trimer (2-chloro-3-methylpyridinium)2[Cu3Br8] (5). All compounds were characterized by single crystal X-ray diffraction. 1–4 crystalize in the monoclinic space group P21/n with a square planar arrangement of the halide ions about the copper center, which is located on a crystallographic inversion center. 5 crystallizes in the monoclinic space group P21/c and exhibits stacks of Cu3Br82− ions. Variable field and temperature magnetic measurements on 1–4 show modest antiferromagnetic interactions with the tetrabromidocuprates exhibiting stronger interactions. Fits to the uniform magnetic chain model yielded: 1, Curie constant (CC) = 0.438(2) emu-K/mol-Oe, J/kB = −4.63(5) K; 2, CC = 0.431(1) emu-K/mol-Oe, J/kB = −4.53(3) K; 3, CC = 0.415(2) emu-K/mol-Oe, J/kB = −21.6(2) K; 4, CC = 0.408(2) emu-K/mol-Oe, J/kB = −23.9(6) K. A Curie-Weiss correction employed in the fitting shows the chains to be highly magnetically isolated. © 2025 Informa UK Limited, trading as Taylor & Francis Group
Students picket during Black Student Union sit-in [2], February 20, 1969
No full textPhotograph of students picketing at Clark University during the Black Student Union\u27s sit-in on February 20, 1969.
All photographs in this collection were digitized between 2022 and 2023.
The photographs in this collection are part of the Photographs and Media record group of Clark University’s Archives & Special Collections.https://commons.clarku.edu/bsu/1011/thumbnail.jp
Students at Black Student Union dance, 1985
No full textPhotograph of Black Student Union members at a dance, April 1985.
All photographs in this collection were digitized between 2022 and 2023. The photographs in this collection are part of the Photographs and Media record group of Clark University’s Archives & Special Collections.https://commons.clarku.edu/bsu/1002/thumbnail.jp