Large Language Models And Identity: A Reflexive Approach, Nicholas Austin Nielsen

Cal Poly Humboldt theses and projects

This project explicates theories of identity, technology, and capitalism and uses an auto ethnographic approach in order to apply that explication at a personal level. The project responds to AI rhetoric in business and pedagogy and the instability surrounding perspectives on job security, the role of technology in Higher Education, and existential representations of the human. By deconstructing identity, ideology, cultural contexts, and technologic rhetorics, the goal is to further the scholarship surrounding Large Language Model applications in pedagogy and offer a personal, therapeutic approach to feelings of economic and existential discontent and fear experienced by students and educators regarding …

Whose Decolonization? Prospects For Decolonizing African Art Music, Kofi Agawu

Publications and Research

Although they date back to the 1960s—the decade of African independence—decolonization discourses have gained a new visibility in today’s academies and social media. Targets of decolonization include universities (and numerous practices within), archives, museums, political and economic systems, and individuals from previously colonized nations. Questions remain, however, about what, why, and how to decolonize. This article explores the prospects for decolonizing African art music, a repertoire formed from the twin forces of missionization and colonization. Eschewing a big-picture approach, the author focuses on samples of African choralism, African pianism, African opera, and African symphonism to show that the dividing lines …

Enhancing Intrusion Detection Systems With Adaptive Neuro-Fuzzy Inference Systems, Jitender Sharma, Sonia ., Karan Kumar, Pankaj Jain, Pankaj Jain, Hussein Alkattan

Mesopotamian Journal of CyberSecurity

Network security has become increasingly critical in recent years. Among the various aspects of network security and considering several approaches to network security, intrusion detection systems (IDSs) have gained considerable attention. The prominence of this factor, among other factors of network security, is due to its ability to address the complex and uncertain nature of security breaches. Whenever data flow over the network, precise categorization of normal and malicious data is necessary. Past IDS systems lack precise categorization. Thus, the present study focuses on the use of the adaptive neuro-fuzzy inference system (ANFIS) as a classifier to categorize network instances …

Relationship Between School Climate And Effectiveness, Michele D. Franklin Mrs

Murray State Theses and Dissertations

Abstract

The purpose of this quasi-experimental study was to explore the relationship between school climate and school effectiveness in six rural elementary schools. School effectiveness was defined by state reading, math, and index achievement scores. The districts’ Studer Education Survey and the KSA’s Quality of School Climate and Safety survey assessment data were combined to determine each school’s climate score. The Multi-Tiered Systems of Support (MTSS) framework guided the study. The study examined a rural school district’s focus on providing a system of support for reading, math, social emotional learning (SEL), and behavior (SEB) that influenced school climate and ultimately …

Multisensory Naturalistic Decoding With High-Density Diffuse Optical Tomography, Kalyan Tripathy, Zachary E Markow, Morgan Fogarty, Mariel L Schroeder, Alexa M Svoboda, Adam T Eggebrecht, Bradley L Schlaggar, Jason W Trobaugh, Joseph P Culver

2020-Current year OA Pubs

SIGNIFICANCE: Decoding naturalistic content from brain activity has important neuroscience and clinical implications. Information about visual scenes and intelligible speech has been decoded from cortical activity using functional magnetic resonance imaging (fMRI) and electrocorticography, but widespread applications are limited by the logistics of these technologies.

AIM: High-density diffuse optical tomography (HD-DOT) offers image quality approaching that of fMRI but with the silent, open scanning environment afforded by optical methods, thus opening the door to more naturalistic research and applications. Although early visual decoding studies with HD-DOT have been promising, decoding of naturalistic auditory and multisensory stimulus information from HD-DOT data …

Tracking The Evolving Role Of Artificial Intelligence In Implementation Science: Protocol For A Living Scoping Review Of Applications, Evaluation Approaches And Outcomes [Version 2; Peer Review: 2 Approved], Guillaume Fontaine, Byron J Powell, Et Al.

2020-Current year OA Pubs

BACKGROUND: Artificial intelligence (AI) offers significant opportunities to improve the field of implementation science by supporting key activities such as evidence synthesis, contextual analysis, and decision-making to promote the adoption and sustainability of evidence-based practices. This living scoping review aims to: (1) map applications of AI in implementation research and practice; (2) identify evaluation approaches, reported outcomes, and potential risks; and (3) synthesize reported research gaps and opportunities for advancing the use of AI in implementation science.

METHODS: This scoping review will follow the Joanna Briggs Institute (JBI) methodology and the Cochrane guidance for living systematic reviews. A living scoping …

Protocol For The Asian Cohort For Alzheimer's Disease (Acad) Study, Pei-Chuan Ho, Walter A Kukull, Et Al.

2020-Current year OA Pubs

INTRODUCTION: To address knowledge gaps in Alzheimer's disease (AD) research, the Asian Cohort for Alzheimer's Disease (ACAD) Study will recruit over 5000 participants of Asian descent aged 60 or older in the United States and Canada. The current focus is on participants with Chinese, Korean, or Vietnamese ancestry, with the goal of characterizing both genetic and non-genetic risk factors. ACAD has assembled a culturally and linguistically appropriate data collection protocol, as well as a biosample collection protocol. Recruitment strategies follow community-based participatory research (CBPR) approaches to encourage research participation and engage Asian communities in brain health education.

METHODS: The ACAD …