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AI MEETS ADVOCACY: A PILOT STUDY ON TEACHING VICTIM ADVOCACY USING BOODLEBOX CHATBOT
Full text linkArtificial intelligence (AI) is increasingly used in the criminal justice system, including crime prediction, sentencing, and victim services. While AI tools offer benefits—such as identifying intimate partner violence and child abuse—scholars caution against bias, lack of transparency, and victim-blaming, particularly in apps and risk assessment models. Building on these insights, a new pedagogical model was developed to train future victim advocates using AI simulations. Through platforms like Boodlebox, students engage in structured, trauma-informed dialogues with AI chatbots such as ChatGPT and “Ruth” from the National Domestic Violence Hotline. The curriculum focuses on experiential learning, client-centered practice, and ethical engagement with technology. Combining both the evidence-based critique and hands-on learning, this model prepares students to navigate AI-integrated victim services with care, ensuring advocacy remains trauma-informed, responsive, and grounded in human dignity
Electrons Behaving Wave-like (The Ramsauer Townsend Effect)
Full text linkUsing Ramsauer-Townsend Effect, we explored the wave aspect of electrons, we observed constructive interference of electron wave scattering from Xe atoms
Palynological Analysis to interpret Inputs and Paleoenvironmental Conditions of Tidal Flat Sediments in the Wouri Estuary
Full text linkThis study examines the environmental significance of microfossils in specifically pollens, spore and cuticles in understanding paleoenvironment and sediments inputs in Tidal flats in the tropical Wouri estuary. Palynological slides of sediments from different depths with two sediment cores from the east and Western flanks of the Wouri estuary were examined using a trinocular microscope. Results showed the predominance of pollens families of Rhizophoraceae and Poaceae at different depths. Cuticles also varied with depth in both the West and east Wouri sediments cores. The Rhizophoraceae family are interpreted to indicate coastal and mangrove environment inputs into the sediments of the tidal flats, reflecting saline and intertidal conditions. Their presence in the sediment layers suggests periods of high sea levels or proximity to marine influences. In contrast, the presence of Poaceae pollen are interpreted to suggest inputs from drier environments such as savannahs and grasslands. The cuticles are interpreted to indicate cuticle marking shifts toward arid or more open landscapes. Additionally, plant cuticle analysis provides insight into how vegetation adapted to varying moisture levels, helping to differentiate between humid, dry, and coastal environments over time. By linking these microfossils to their respective paleoenvironments, this research contributes to understanding historical fluctuations in climate, sea levels, and plant distribution in the sediment in the tidal flats of the Wouri estuary
Examining Hearing Protection Use in Applied Technology: Frequency, Barriers, and Evidence of Hearing Loss
Full text linkThis study investigated the prevalence of hearing protection usage among applied technology instructors and students and explored factors contributing to non-compliance. Survey data was collected in addition to the completion of basic audiometry screening procedures. Results indicated that while hearing protection devices were as readily available as head and eye protection, they were worn less frequently. Many participants found hearing protection inconvenient or believed it interfered with communication. A gap in education and resources was identified. These findings highlight the need for improved education and reinforcement of hearing conservation practices to increase compliance among applied technology instructors and students
The Benefits of Implementing Medication Administration Simulation in the Undergraduate Nursing Pharmacology Course
Full text linkMedication administration is one of the most critical tasks for nurses. Yet, it can also be a source of anxiety and errors, especially for nursing students who are still building their skills. Many new nursing students struggle to feel confident and competent when administering medications in real clinical settings. Simulation-based learning offers a powerful way to address this challenge. Using realistic, hands-on scenarios, students can practice medication administration in a safe environment without harming patients. This approach helps students build critical skills, gain confidence, and reduce the likelihood of medication errors. Incorporating medication administration simulations into nursing pharmacology courses will improve the competency and confidence of nursing students, prepare them to provide safe patient care, and prevent medication errors
Initial Reliability of a Special Education Law Chatbot
Full text linkThere is a shortage of school psychologists across the nation (National Association of School Psychologists, n.d.), resulting in a need for practitioners to perform all aspects of their jobs as efficiently as possible to avoid burnout while ensuring adequate service delivery. While school psychologists are trained in 10 Domains of practice, Domain 10: Legal, Ethical, and Professional Practice, permeates all aspects of school psychological practice. Specifically, school psychologists are “state actors,” meaning they are an extension of their state’s authority, supported by state and federal laws, to educate and serve school-aged children, who are among our most vulnerable populations (NASP, 2020). As such, all aspects of school psychological practice heavily rely on the interpretation and application of federal and state special education laws (SpEd Law) to ensure processes, procedures, and services remain in compliance with these regulations. However, SpEd Law can often be cumbersome to navigate due to nuanced differences from state to state, ongoing changes to interpretation due to updated case law and legislative updates, and the cumbrous nature of legal documentation. Like many professionals, school psychology practitioners have explored technology-based tools, such as Artificial Intelligence (AI), as efficiency solutions to the growing shortage despite increasing demand for services (Krach & Corcoran, 2023). Generative AI and large language models (Zewe, 2023; Stöffelbauer, 2023) may offer a means for school psychologists to more efficiently navigate SpEd law. To that end, an FHSU team of school psychologists developed a chatbot, Kansas SpEd Law, to assist in navigating federal and Kansas special education law. Although casual interaction with the chatbot yielded output that appeared reliable, a more in-depth investigation of accuracy yielded an unacceptable amount of error for practical application of the chatbot. An overview of the chatbot, analysis of initial accuracy testing, and considerations for future development are offered
Resurrecting the Past: Engineering Ancestral Enzymes for Modern Bacterial Applications
Full text linkAncestral Sequence Reconstruction (ASR) is a computational technique that infers and resurrects ancient protein sequences to explore molecular evolution and enable protein engineering. By integrating phylogenetics and statistical modeling, ASR produces stable, mutation-tolerant enzymes ideal for directed evolution. This poster presents a workflow for reconstructing enzymes from pathogenic bacteria and highlights ASR’s value in uncovering novel functions and advancing applications in drug discovery and synthetic biology
Fibonacci Product Cordial Labeling of Generalized Triangular Snake and Other Graphs
Full text linkA Fibonacci Product Cordial labeling is an assignment of Fibonacci numbers to the vertices of a graph in a way that determines edge labels based on the product of vertex labels, modulo 2. The labeling is valid if the number of edges labeled 0 and 1 differ by at most 1. If a graph allows such a labeling, it is called a Fibonacci Cordial graph. We explore various snake graphs and Helm graphs that can have this type of labeling