17007 research outputs found
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AI Symposium Opening
No full textMichelle Hudiburg addresses the crowd during the symposiumhttps://digitalcommons.pittstate.edu/aisymp-photos-2025/1003/thumbnail.jp
Poster Break
No full textTwo attendees talking during the poster presentation sessionhttps://digitalcommons.pittstate.edu/aisymp-photos-2025/1021/thumbnail.jp
AI Symposium Q&A
No full textPSU employee asks a question during the Q&A session.https://digitalcommons.pittstate.edu/aisymp-photos-2025/1047/thumbnail.jp
Panelists and Symposium Committee
No full text[Clockwise from the back] Jorge Leon, Magdalene Moy, Santiago Morel Berni, Ryan McFarlane, John Kuefler, Andra Stefanoni, and Heather Carter.https://digitalcommons.pittstate.edu/aisymp-photos-2025/1001/thumbnail.jp
AI Symposium Sign
No full textAI Symposium sign outside the door of the event, the second panel speakers are on the stage.https://digitalcommons.pittstate.edu/aisymp-photos-2025/1008/thumbnail.jp
The Ability of ChatGPT to Aid in the Rapid Development of Inoculation Message Treatments: A Case Study and Recommendations
Get PDFOne of the most widely known types of AI technologies in recent years is ChatGPT. ChatGPT is a state-of-the-art language model that has revolutionized natural language processing by generating human-like text with context and coherence, enabling new possibilities for human-AI interaction (Brown et al., 2020). This case study reports on a 10-week conversational AI training initiative to assess whether ChatGPT4 can (a) identify the structural elements and features of conventional inoculation messages (i.e., forewarnings and preemptive refutations); (b) augment inoculation message design features (i.e., linguistic signatures, language, and length); (c) adapt messages for specific audiences (i.e., younger populations, experts); and finally, (d) independently replicate the inoculation message development process on a topic of its choosing. Twenty-one different inoculation messages previously used in published inoculation studies provided the instructional foundation for teaching ChatGPT. A combination of prompting techniques were used (i.e., sequential, active, iterative, and chain of thought prompts) to achieve the goals of the study. Using 29 different prompts we found a high degree of originality within the AI generated inoculation messages; however, structural weaknesses were prevalent regardless of originality. AI generated messages were more difficult to read and required an advanced education level to comprehend. The AI messages were not equivalent with the training exemplars, and, in general, contained higher percentages of complex wording. We also found that ChatGPT struggled with developing the explicit forewarning threat component and did not generate inoculation messages with more than two refutations. Several themes of metaphorical and figurative language were used by the conversational-AI. We describe and contextualize these findings and discuss considerations and recommendations for future study
EFFECT OF UNILATERAL AND BILATERAL RESISTANCE TRAINING ON PERFORMANCE TESTS OF COLLEGIATE SOFTBALL ATHLETES
Get PDFStrength and conditioning coaches typically have athletes perform either unilateral (UL) or bilateral (BL) lower body training, based on the perception that UL may be more sport-specific, and may enable lighter loads due to different stability requirements. A randomized controlled design was used to assess the effects of UL (n=6) and BL (n=5) on collegiate DII softball athletes. After three weeks of familiarization training, testing was done pre- and post- 8 weeks of the athletes’ Fall offseason training program. Performance testing consisted of strength (front squat, hex bar deadlift, front rack split squat, rear foot elevated split squat), change of direction (5-0-5 and 5-10-5), jump testing (vertical and horizontal), balance (modified Star Excursion Balance Test), softball-specific sprints (1st and 2nd - base), body composition (Bioimpedance analysis and Ultrasound), and rating of perceived exertion. A two-way ANOVA was run to determine differences between (group; BL vs. UL) and within (time; pre vs. post) on all variables. There were no significant interactions or group effects on any testing variable other than average weekly training volume (UL 63.6% less than BL). Strength tests, vertical jump and body composition increased similarly over time for both groups. Balance increased for UL only, but an ANCOVA demonstrated no significant group differences after controlling for different baseline values. Based on these results, both types of training may be equally effective, demonstrating a transfer of training effect regardless of modality. In addition, UL training may enable a reduced training volume which may be beneficial to athletes
Distribution of ticks and tick-borne disease in Southeast Kansas public recreational parks
No full textThe distribution of ticks and tick-borne diseases is not well-documented in southeast Kansas despite bordering one of the greatest hotspots for disease in the United States. The range and distribution of ticks has been changing over the past century because of anthropogenic factors such as habitat loss, climate change, and overabundance of white-tailed deer. Two public recreational parks with heavy human and pet traffic in Crawford County, Kansas were sampled to determine which ticks are present in the months of greatest activity. Ticks were collected using a flagging technique that promoted only collecting questing ticks. A total of 436 lone star ticks were the dominant tick species across both collection sites (90.5%, Males-202, Females-164, Nymphs-70). A total of 46 American dog ticks were also detected across both sites (9.5%, Males-24, Females-22). After grouping ticks into pools, both species of ticks were found to be carrying ehrlichiosis pathogens, with unusually high rates of E. ewingii detected in lone star tick pools (E. chaffeensis 12.9%, E. ewingii 21.0%). American dog tick pools carried a lower proportion of only E. ewingii (12.5%). Rickettsia spp., which could include pathogenic spotted fever rickettsiae, were also detected in both ticks (Lone star: 68.8% of pools; American dog: 18.5%). This data should be used to update public resources and better prepare local health departments. Continuing to monitor tick distribution and pathogen load will be vital as their range keeps changing
Biobased Polyesters Derived from 1,4- Butanediol and Various Aliphatic Diacids
No full textBiobased polyesters were synthesized from 1,4-butanediol and a series of aliphatic dicarboxylic acids, namely succinic acid, adipic acid, and sebacic acid using melt polycondensation. The resulting polymers poly(butylene succinate) (PPeS), poly(butylene adipate) (PPeA), and poly(butylene sebacate) (PPeSe) were characterized with intrinsic viscosity, nuclear magnetic resonance (NMR), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA) and tensile testing. All the polymers had a weight-average molecular weight of over 50,000 g/mol and melting temperature (Tm) ranging from 50 to 116 oC, PPeA exhibited a lower melting temperature due to semicrystalline structure and rapid crystallization. The even-even effect was observed, contributing to an increased tensile strength of PPeA. All the polymers exhibit good thermal stability, mechanical properties, and tensile properties compared to polyethylene. These biobased and potentially biodegradable polyesters appear to be promising for practical applications like packaging, biomedical materials, and environmentally friendly plastics
Developing FeCo-NC Alloy For Optimizing Electrocatalytic Activity In Water Splitting And Oxygen Reduction
No full textWith the increasing demand for sustainable energy, developing efficient electrocatalysts for key reactions like the oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and oxygen reduction reaction (ORR) is crucial. This study explores the design of a FeCo-NC/CNT alloy catalyst with tunable Fe/Co ratios to enhance catalytic performance. The catalyst was synthesized using hydrothermal and pyrolysis methods, forming a well-structured alloy supported by nitrogen-doped carbon. Characterization confirmed the successful integration of Fe and Co into the NC/CNT framework, improving conductivity and increasing active sites for reactions. Electrochemical tests showed that the Fe0.9Co0.1-CNT catalyst exhibited the best performance, with an OER overpotential of 247 mV, an HER overpotential of 71 mV at 10 mA/cm2 , and an ORR half-wave potential (E1/2) of 0.87 V vs. RHE. Its OER activity is comparable to iridium oxide, a standard noble metal catalyst, highlighting its potential as a cost-effective and efficient alternative. The synergy between Fe and Co in the NC/CNT matrix enhances reaction kinetics and electron transfer, making this catalyst a strong candidate for fuel cells, metal-air batteries, and water-splitting applications. This research emphasizes the importance of optimizing metal composition and catalyst structure to develop high-performance, affordable electrocatalysts, contributing to the advancement of sustainable energy technologies