Kennesaw State University

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    Dynafeat: Novel Framework for Dynamic Fusion for Emotion Adaptation and Transition in Real-Time Using Physiological Data

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    Current affective computing approaches largely treat emotional states as static events, such as happy or sad, ignoring the continuous nature of real-world emotional transitions. This static paradigm fails to capture how emotion emerges, evolves, and dissipates over time. This dissertation proposes DynaFEAT (Dynamic Fusion for Emotion Adaptation and Transition), a comprehensive methodological framework utilizing a dynamic fusion of multimodal signals to analyze and decode these emotional changes in a continuous setting. First, we present DEJA-VU (Dynamic Emotional Journey Analysis in Virtual Universe), a validated multimodal dataset (EEG, ECG, EMG, GSR) collected from 28 participants in Virtual Reality, specifically engineered to induce systematic transitions between emotional states. Second, utilizing this data, we address the century-old James-Lange vs. Cannon-Bard debate on physiological precedence. By applying Granger Causality and the Directionality Asymmetry Index (DAI), we demonstrate that precedence is not a fixed hierarchy but a context-dependent dynamic (Double Dissociation): affiliative states (Joy) exhibit a Body-First reflexive loop, while threat states (Fear) utilize a Brain-First command structure. Finally, we decode the grammar of emotional transitions using Dynamic Time Warping and Deep Learning (Bi-GRU). We identify distinct topological signatures for specific transition types and propose the Decomposition Hypothesis, demonstrating that universal emotional signals (U) can be recovered from idiosyncratic physiological baselines (P) through cross-session calibration. This work establishes a new standard for modeling emotions in motion, shifting the focus of affective systems from static recognition to dynamic regulation. Keywords: Affective Computing, Virtual Reality, Multimodal Fusion, Deep Learning, Psychophysiolog

    Student Engagement in High School Mathematics Blended Learning Classrooms

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    Engagement is a student’s interest, participation, and motivation in the learning process and is a cornerstone of success in the classroom. The COVID-19 Pandemic overturned the traditional classroom, making the task of fostering engagement nearly impossible. Although pandemic-related research has largely focused on mental health and academic achievement, less attention has been given to instructional models promoting engagement in remote learning environments. Self-directed learning (SDL) is one model offering students digital autonomy and access to teachers and peers. This study examined the longitudinal data of student perceptions of their engagement through the COVID-19 Pandemic at an alternative high school and their preferences for either face-to-face or SDL classes after their return to in-person learning. This mixed-methods study utilized an explanatory sequential method using three different engagement-related surveys. The historical SEI data trends showed a decline in engagement before and at the beginning of the pandemic, and slow growth during the pandemic. A t-test confirmed that student-teacher relationships were stronger in SDL mathematics classes than in face-to-face classes. Themes related to student feelings of frustration, isolation, and student autonomy were prevalent throughout the pandemic. Implications from this research suggest that teachers, teacher educators, and administrators should focus on individualized relationships with students in all class types, as well as building SDL content to improve interactions with peers and the mathematical content

    The Effect of WOC Nurse Rounding on At-Risk Patients in the ICU in Reducing HAPIs: An Integrative Review

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    Hospital-acquired pressure Injuries (HAPIs) are a “never event” and a nursing quality indicator closely monitored by hospitals. Pressure injury prevention strategies have been widely researched and used to reduce HAPI rates; however, despite this research, HAPI rates, especially in the intensive care unit (ICU), remain high. Prevention is a complex, individualized process that requires nursing understanding and application. Wound, Ostomy, and Continence nurses (WOC nurses) are specially trained and certified in wound management and can provide tremendous clinical insight into risk and prevention factors. This integrative review examines whether WOC nurse rounding in the ICU reduces HAPI rates

    Helping Craft Beer Hunters Make Their Next Great Beer Discovery

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    The number of craft beer producers and consumers in the United States has increased dramatically over the last ten years. This manuscript provides an overview of the craft beer marketplace in the United States with a focus on the craft brewers and retailers as well as the consumers who favor craft beers. Craft beer enthusiasts are a “consumption community” or, a group of consumers who share a deep involvement with the craft beer category. This study presents a list of common business practices designed to appeal to this unique consumer group

    UC-1274 Cloud-Native CI/CD Pipeline

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    This project documents a 12-week capstone implementing a cloud-native CI/CD pipeline using industry-standard DevOps tools. The system integrates Jenkins for continuous integration, Kubernetes for container orchestration, GitOps (ArgoCD) for automated deployments, DevSecOps practices including RBAC and vulnerability scanning, and comprehensive monitoring using Prometheus and Grafana. Mentored by Sudheer Amgothu, Principal Cloud Operations Engineer

    2025 Georgia Library Association Election Results

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    Monroe Work\u27s Contributions to Public Sociology

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    Abstract Monroe Work was a Chicago School trained sociologist, criminologist, and researcher who, despite not being well-known in the social sciences, produced a body of research that is exemplified in what is now known as public sociology. Work was associated with prominent sociologist and activist W.E.B. Du Bois while working in Savannah, Georgia, and later with Booker T. Washington, with whom he worked at the Tuskegee Institute, heading the records and research department. Work was a talented researcher who worked behind the scenes with both Du Bois and Washington to provide needed research in a time of intense racial conflict. Work’s contributions to public sociology, notably his work on minority farm ownership, minority public health, and his lynching reports, are examined in this essay

    Women\u27s Perceptions of Gender Inequality in the Divorce Process in Iran

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    This study explores the experiences of Iranian women in the divorce process, focusing on their perceptions of inequality from the viewpoints of women in Iranian family courts. Qualitative data were gathered from 10 interviews, including 10 women, and field observations in homes, workplaces, and courthouses. We focus on Iranian women\u27s views on gender inequality during divorce, assessing legal, economic, and sociocultural factors. Thematic analysis identified three main areas of inequality: legal, economic, and sociocultural, revealing the complex obstacles women face during divorce. The study shows how family support, education, religiosity, and employment status shape women\u27s experiences. The findings highlight the significant impact of legal biases and societal norms on women\u27s well-being and empowerment. Despite legislative reforms aimed at gender parity, cultural misconceptions and religious expectations continue to obstruct women\u27s access to their rights during divorce. Polygamy laws and patriarchal beliefs further exacerbate gender inequalities, restricting women\u27s autonomy in economic and social realms. The study also underscores the crucial role of women\u27s financial independence in transforming family dynamics and reducing the effects of gender inequality. Economic empowerment through education and employment is essential for achieving gender equality in divorce. The intersection of factors like education, employment, and religious beliefs complicates women\u27s decision-making and access to rights

    Farm Chemicals as Indicators of Sediment Sources in Iowa Rivers

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    Determination of the source of sediment in rivers and streams is important in order to effectively implement a program to reduce its concentration. This project uses agricultural chemicals as indicators of current sources of sediment from farm fields in the Cedar River, Iowa watershed. We hypothesized that the relations of sediment, nitrogen, and phosphorous yields to precipitation would indicate whether sediment originated from erosion of fields or from channel bank erosion of floodplains. The changes in sediment, nitrate, and phosphorus in the channel in response to rainfall events were determined. In simple regressions, all three variables have similar slopes when regressed on seven-day precipitation sums. On the basis of the results of the regressions, it appears that, for the months used for this project, the major source of channel sediment is agricultural land

    Native Texans\u27 Perception of Yankees

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    Texas now ranks as the third most populous state in the United States. Over the past 40 years, much of the population growth can be attributed to migration from outside the state\u27s boundaries. Not all native Texans look favorably on the new growth patterns. Yankee is a term which some native Texans tend to label any new resident who does not enter from Mexico. The purpose of this paper is to delineate those states which are perceived by native Texans to produce Yankees. A second goal is to provide insight into the perception that native Texans have regarding the word Yankee. The data for the study were acquired by administering a questionnaire to 787 native Texans. The study group represented five different age categories, a wide range of occupations, both male and female respondents, and every major region in Texas. A cartographic representation of Yankee states produces some interesting patterns regarding hardcore Yankee states, non-Yankee states, and states of transition. The perception of Yankees by native Texans is described by more than 300 different vocabulary words and produces an image that is fascinating but not especially complimentary

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