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Analisis Pengaruh Kualitas Institusi Politik Terhadap Konsentrasi Pm2.5 Di Negara G20, Afif Dhia Pratama, Dwi Rahmayani

Jurnal Ekonomi dan Pembangunan Indonesia

This study aims to analyze the influence of political institutional quality, proxied by democracy, political globalization, and good governance, on PM2.5 concentration in G20 countries as well as prove the Environmental Kuznets Curve (EKC) Hypothesis and Pollution Halo Hypothesis (PHH) from 1998 to 2022. The Autoregressive Distributed Lag (ARDL) method is employed in this analysis. The results show that democracy reduces PM2.5 concentration only in the long run. However, good governance decreases PM2.5 concentration in the short term but increases it in the long run. Political globalization shows no significant influence on PM2.5 concentration. Furthermore, the study also revealed that …

Total Factor Productivity Industri Mikro Dan Kecil Di Kawasan Timur Indonesia, Marella Dea Manganti, Budyanra Budyanra

Jurnal Ekonomi dan Pembangunan Indonesia

The Micro and Small Industries (MSIs) sector, part of non-oil and gas processing industry, is a key driver of the Indonesia’s economy. However, in Eastern Indonesia (EI), the number of industries and workers in the MSIs sector does not match the level of output, unlike in Western Indonesia, where the industry is more stable and aligned. This difference is mainly due to variations in technological progress, known as Total Factor Productivity (TFP). This study analyzes TFP in the MSIs sector across provinces in EI from 2013 to 2022 using panel data regression. Results show that South Sulawesi has the highest …

Peran Kawasan Ekonomi Khusus (Kek) Terhadap Pertumbuhan Ekonomi Wilayah: Analisis Spasial Eksternalitas, Rizani Violita, Khoirunurrofik Khoirunurrofik

Jurnal Ekonomi dan Pembangunan Indonesia

This study examines the impact of SEZs in Indonesia on regional economic growth, including impacts on neighbouring regencies and cities, using a Dynamic Spatial Durbin Model. The study indicates the impact of SEZs is only evident in tourism SEZs, while manufacturing SEZs have no discernible impact. The impact of SEZs on regional growth is transient. The significant variables are prior regional growth, Domestic Investment (PMDN), Labor Force Participation Rate (TPAK), Availability of Information and Communication Technology, Human Development Index (HDI), and GRDP growth. Influencing variables in the surrounding areas include GRDP growth and the diffusion of information and communication technologies.

Examining The Relationships Among Land Surface Temperature, Surface Urban Heat Islands, Land Cover, And Societal Impacts In The Miami Metropolitan Statistical Area, Alanna D. Shapiro

Electronic Theses and Dissertations

Surface Urban Heat Islands (SUHI) and Land Surface Temperature (LST) are important to study because they can have large impacts on human and environmental health and well-being. The research described in this dissertation includes three separate but related studies of SUHI and LST. The first study evaluates historic LST trends in a multiscalar view and examines the impact of environmental and socioeconomic explanatory variables on LST. Results show that NDVI and impervious surfaces are significant explanatory variables for the dependent variable LST. The rate of change (RoC) of each of the regression models ranges between 0.29oC/decade and 1.56oC/decade. The second …

Perceptions Of Educational Settings, Taniya Davis

Electronic Theses and Dissertations

This study examined the influence of self-monitoring on cognitive performance under stereotype threat in an online academic setting. One hundred thirty-two Black and Hispanic participants completed a series of GRE-style questions following exposure to either a stereotype threat or control condition (Steele & Aronson, 1995). Participants also completed measures of self-monitoring (Gangestad & Snyder, 2000), academic motivation (Pintrich & De Groot, 1990), cognitive load (Kirschner, 2002), self-esteem (Crocker et al., 2003), and ethnic identity. Using multiple regression and mediation analyses conducted in Jamovi, self-monitoring emerged as the strongest and most consistent predictor of test performance. Academic motivation partially mediated this …

Movie Genre Classification Using Script Texts, Michael Roman Cuomo

Electronic Theses and Dissertations

Genres are used to classify movies so that they can be grouped with others that have similar themes and structures. These classifications are categories created by humans. In the process of creating a movie, a script is often the first creation to write and share ideas about a topic. The script contains large amounts of text that is used to describe the dialog, setting and direction of the film. Although the script contains important information for the film, the amount of text can present a challenge for machine learning algorithms. Often in studies on film classification, if text is used, …

Afit Generative Ai Teaching Guidebook, Afit Faculty Learning Community, Mark G. Bateman, Brett J. Borghetti, Allen W. Dukes, Nicholas C. Francis, Mike Frick, Bobbie Oh, Kevin Patterson, Hiren J. Patel, Mark G. Reith, Erick S. Tyndall, Teresa M. Walton, Torrey J. Wagner, Timothy S. Wolfe, Jonathan Zemmer

AFIT Documents

AFIT is proud to highlight the Generative AI Teaching Guidebook, a resource designed to provide military educators with practical insights, strategies, and use cases for integrating Generative AI (Gen AI) into their teaching practices. Developed through a collaborative effort involving AFIT faculty across various departments within the Graduate School of Engineering and Management and the School of Systems and Logistics, this digital resource serves as a starting point for educators exploring how to leverage Gen AI in their classrooms. It offers accessible examples and best practices, ensuring utility for instructors of all technical backgrounds. The guidebook provides a comprehensive overview …

Afit Generative Ai Teaching Guidebook Synopsis, Afit Faculty Learning Community, Mark G. Bateman, Brett J. Borghetti, Allen W. Dukes, Nicholas C. Francis, Mike Frick, Bobbie Oh, Kevin Patterson, Hiren J. Patel, Mark G. Reith, Erick S. Tyndall, Teresa M. Walton, Torrey J. Wagner, Timothy S. Wolfe, Jonathan Zemmer

AFIT Documents

The main objective of this work was to bring together various perspectives on how to envision incorporating Gen AI capabilities into the learning environment and identify some best practices for their implementation. Any instructor who is interested in these capabilities but does not necessarily have a technical background can find pragmatic use of the examples provided. While the examples have a wide range of applicability, they are meant to serve as a starting point for educators to explore what would be beneficial to their educational environment, from traditional classroom settings to online continuing education courses.

A Comprehensive Exploration Of 6g Wireless Communication Technologies, Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Md. Shahriar Uzzal, H. M. Dipu Kabir

Electrical & Computer Engineering Faculty Publications

As the telecommunications landscape braces for the post-5G era, this paper embarks on delineating the foundational pillars and pioneering visions that define the trajectory toward 6G wireless communication systems. Recognizing the insatiable demand for higher data rates, enhanced connectivity, and broader network coverage, we unravel the evolution from the existing 5G infrastructure to the nascent 6G framework, setting the stage for transformative advancements anticipated in the 2030s. Our discourse navigates through the intricate architecture of 6G, highlighting the paradigm shifts toward superconvergence, non-IP-based networking protocols, and information-centric networks, all underpinned by a robust 360-degree cybersecurity and privacy-by-engineering design. Delving into …

Optimizing Ai Language Models: A Study Of Chatgpt-4 Vs. Chatgpt-4o, Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Md Fayaz Bin Hossen, Muhammad Rezaur Rahman, Md. Shahadat Jaman

Electrical & Computer Engineering Faculty Publications

This paper presents a comparative analysis of OpenAI's GPT-4 and its optimized variant, GPT-4o, focusing on their architectural differences, performance, and real-world applications. GPT-4, built upon the Transformer architecture, has set new standards in natural language processing (NLP) with its capacity to generate coherent and contextually relevant text across a wide range of tasks. However, its computational demands, requiring substantial hardware resources, make it less accessible for smaller organizations and real-time applications. In contrast, GPT-4o addresses these challenges by incorporating optimizations such as model compression, parameter pruning, and memory-efficient computation, allowing it to deliver similar performance with significantly lower computational …

Differentiating Opioid Use Disorder From Healthy Controls Via Ml Analysis Of Rs-Fmri Networks, Ahmed Temtam, Megan A. Witherow, Liangsuo Ma, M. Shibly Sadique, F. Gerard Moeller, C. Kenneth, Dianne Wright, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Objectives/Goals: This work aims to identify functional brain networks that differentiate opioid use disorder (OUD) subjects from healthy controls (HC) using machine learning (ML) analysis of resting-state fMRI (rs-fMRI). We investigate the default mode network (DMN), salience network (SN), and executive control network (ECN), as well as demographic features. Methods/Study Population: This work uses high-resolution rs-fMRI data from a National Institute on Drug Abuse study (IRB #HM20023630) with 31 OUD and 45 HC subjects. We extract rs-fMRI blood oxygenation level-dependent (BOLD) features from the DMN, SN, and ECN. The Boruta ML algorithm identifies statistically significant features and brain activity mapping …

A Potentially Fruitful Path Toward A Cleaner And Safer Environment: Mxenes Uses In Environmental Remediation, Ali Mohammad Amani, Milad Abbasi, Atena Najdian, Farzaneh Mohamadpour, Seyed Reza Kasaee, Hesam Kamyab, Shreeshivadasan Chelliapan, Hanieh Ardeshiri, Lobat Tayebi, Ehsan Vafa, Sarah Mosleh-Shirazi, Alireza Jahanbin, Saravanan Rajendran, Daniel Simancas-Racines

Electrical & Computer Engineering Faculty Publications

The rapid industrialization of the world has resulted in severe environmental pollution, necessitating the development of new materials such as pollution remediation. Two-dimensional (2D) MXenes have emerged as a promising family of materials due to their unique physicochemical properties, making them ideal for environmental remediation. The article sheds light on the new opportunities of MXenes in the removal of organic and inorganic contaminants, including organic dyes, pharmaceuticals, heavy metals, radionuclides, and gas pollutants. MXenes also show excellent performance in photocatalytic degradation, adsorption, and microbial inactivation with environmental safety. Moreover, their application in recovering valuable elements from waste streams is also …

Energy-Aware Sensor Fusion Architecture For Autonomous Channel Robot Navigation In Constrained Environments, Mohamed Shili, Hicham Chaoui, Khaled Nouri

Electrical & Computer Engineering Faculty Publications

Navigating autonomous robots in confined channels is inherently challenging due to limited space, dynamic obstacles, and energy constraints. Existing sensor fusion strategies often consume excessive power because all sensors remain active regardless of environmental conditions. This paper presents an energy-aware adaptive sensor fusion framework for channel robots that deploys RGB cameras, laser range finders, and IMU sensors according to environmental complexity. Sensor data are fused using an adaptive Extended Kalman Filter (EKF), which selectively integrates multi-sensor information to maintain high navigation accuracy while minimizing energy consumption. An energy management module dynamically adjusts sensor activation and computational load, enabling significant reductions …

Quantifying Trapped Magnetic Vortex Losses In Niobium Resonators At Mk Temperatures, D. Bafia, B. Abdisatarov, R. Pilipenko, Y. Lu, G. Eremeev, A. Romanenko, A. Grassellino

Electrical & Computer Engineering Faculty Publications

Trapped magnetic vortices in niobium introduce microwave losses that degrade the performance of superconducting resonators. While such losses have been extensively studied above 1 K, we report here their direct quantification in the millikelvin and low-photon regime relevant to quantum devices. Using a high-quality factor 3D niobium cavity cooled through its superconducting transition in controlled magnetic fields, we isolate vortex-induced losses and find the resistive component of the sensitivity to trapped flux S to be approximately 2 n Ω/mG at 10 mK and 6 GHz. The decay rate is initially dominated by two-level system (TLS) losses from the native niobium …

An Overview Of Video Game Biometrics Collection And Considerations For Cyberbiosecurity, Lucas Potter, Christen Westberry, Xavier-Lewis Palmer

Electrical & Computer Engineering Faculty Publications

Over the past fifty years, the global cost of consumer electronics has significantly decreased, leading to greater accessibility to both biosensing systems and interactive entertainment platforms. This increased access has naturally resulted in higher usage of medical and entertainment electronics. However, the intersection of these technologies, combined with invasive data harvesting practices, has raised concerns about the potential misuse of biological signals to manipulate individuals' behavior both within and beyond the video game environment. Currently, biometric data in video games are employed in various ways, such as using Heart Rate Variability (HRV) as a performance metric and integrating eye tracking …

Détermination De La Concentration Des Métaux Dans L'Air Par Icp-Ms Avec Prélèvement Effectué Sur Filtre Encapsulé Digérable : Solu-Sert, Sébastien Gagné, Luminita Damian, Saphos Vlavianos

Environnementales

No abstract provided.

Détermination De La Concentration Des Métaux De La Faction Inhalable Dans L'Air Par Icp-Ms Avec Prélèvement Effectué Sur Dis, Sébastien Gagné, Luminita Damian, Isabelle Madore

Environnementales

No abstract provided.

A Liberatory Approach To Allyship: Lgbtq+ Ally Training At A Catholic University, Hugh Smeltekop, D. Chase James Catalano

Journal of Catholic Education

Teachings that undergird Catholic universities hold seemingly contradictory messages about affirming the dignity of LGBTQ+ people and adherence to some Catholic teachings. LGBTQ+ trainings that cultivate allyship are intended to increase individual awareness/ analysis, develop skills to support students, and align with aspects of the institutional culture and mission. Yet, there remains a paucity of research of how faculty and staff navigate what it means to act as an ally to LGBTQ+ populations. Using a multi-method exploratory design, we examined how faculty and staff at a Catholic university made meaning of their experiences attending an LGBTQ+ ally training. We utilized …

Addressing Teacher Turnover In Catholic Schools: Lessons Learned From The University Consortium For Catholic Education Model, Ronald D. Fussell, Maureen Cole

Journal of Catholic Education

The United States is experiencing a teacher shortage that threatens the vitality of Catholic Schools. Yet, specialized Catholic school teacher formation programs under the umbrella of the University Consortium for Catholic Education model consistently produce Catholic school teachers who are well-formed for their ministry and who tend to remain employed in Catholic schools. This qualitative, grounded theory study sought to answer these two research questions: 1) Why do Catholic school teachers who are graduates of UCCE teacher preparation programs commit to remaining employed in Catholic schools; and 2) How can the experiences of UCCE program graduates be applied to traditional …

Catholic School Teaching As Participation In The Common Good, John L. Beltramo

Journal of Catholic Education

Increasing rates of teacher attrition have exacerbated the shortage of teachers in regions of the United States. In response, some scholars have proposed initiatives that promote the professionalization of teaching, hoping to attract and retain new teachers through greater classroom autonomy and stronger professional development. Others have advocated for a vision of teaching as a vocation, through which teachers can find deeper meaning and thereby better tolerate challenging working conditions. While both conceptualizations of teaching hold compelling implications for the field, their lack of grounding in a broader conception of community ultimately limit the extent to which they can respond …

Exploring Catholic Faith In Shakespearean Drama: Toward A Philosophy Of Education, Francis T. Davis

Journal of Catholic Education

Book review on collected essays exploring how and why to use Shakespeare in Catholic education

Ml Model To Better Identify Instances Of Bullying Faced By Members Of The Lgbtq+ Community, Arslan Bisharat

Master's Theses

Cyberbullying poses a significant threat to online communities, with the LGBTQ+ community facing disproportionately higher rates of harassment. While existing cyberbullying detection systems have made progress in identifying general instances of online harassment, they often fail to capture the nuanced and context-dependent nature of LGBTQ+-targeted bullying. This thesis presents a novel approach to this challenge by developing SpectrumNet, an LGBTQ+-centric transformer-based model for cyberbullying detection. Our research was conducted in two phases. In Phase 1, we evaluated the effectiveness of pre-trained transformer models (RoBERTa, BERT, and GPT-2) in identifying LGBTQ+-related cyberbullying. Building on these findings, Phase 2 introduced SpectrumNet which …

A Qualitative Analysis Of Open Banking In Poland: The Perspective Of Market Experts, Sylwia Ciechanowska

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: The purpose of this article is to present an in-depth analysis of the development of open banking in Poland based on interviews conducted with market experts representing financial institutions and regulatory authorities. The article identifies both the benefits and implementation barriers of open banking, with particular emphasis on the quality of APIs (application programming interfaces), system interoperability, and the impact of regulatory frameworks on service innovation and security.

Methodology: This qualitative study was conducted using structured interviews with market experts representing banks, fintech companies, regulatory authorities, and independent industry consultants. The selection of experts was purposive, with …

Active Learning Seminar Assignment: Broken Windows Perusall Activity, Penny Geyer

Open Educational Resources

This collaborative reading assignment created by Professor Penny Geyer was created as part of a seminar on Active Learning using OERs in 2025. The assignment uses the social annotation tool, Perusall, to transform a traditional reading assignment into an active learning exercise that encourages close reading, peer engagement and structured discussion of the foundational text, "Broken Windows" by James Wilson and George Kelling.

Targeting Rna Polymerase I In Ewing Sarcoma Treatment, Alexis Bruce, Gavin Anchondo, Rebekah Carter, Sergio Guerrero Pacheco, Hema Sri Kambala, Elizabeth Cortez, Kyra Parker, Le Su

Research, Publications & Creative Work

Ewing sarcoma (ES) is a high-grade bone and soft tissue tumor in adolescents and young adults. Cytotoxic chemotherapy does not improve prognosis, especially for advanced ES patients who have a 5-year survival of 30% or less [1, 2]. Molecular targeted therapy emerges as a promising strategy to battle ES, given its unique driver mutations resulting from the fusion of the EWS and one of the ETS genes, but the feasibility of directly blocking EWS-ETS function has not yet been established [3]. To search for new therapeutic targets, we began with an analysis of the Cancer Dependency Map (DepMap) datasets that …

Setting The Stage For Success: Readiness And Connectedness As Antecedents Of Learning Continuance Intention In Online Learning, Yingqi Tang, Hungwei Tseng, Yu-Chun Kuo, Hsin-Te Yeh, Jianfang Liu

Research, Publications & Creative Work

Through a hierarchical multiple regression analysis, this study investigated how dimensions of online learning readiness and online connectedness influence students’ intentions to continue to take online courses. Data from 369 students who took at least one online course at a four-year public university showed that online learning readiness had a stronger relationship with continuance intention than online student connectedness, while online learning readiness had a significant correlation with online student connectedness. Online learning readiness and connectedness were indicators of online learning persistence. Factors such as age, computer/internet self-efficacy, self-directed learning, learner control, and facilitation influence students' intention to continue with …

Exploring The Factors That Influence K-12 Teachers’ Use Of Open Educational Resources, Yu-Chun Kuo, Yu-Tung Kuo, Hungwei Tseng

Research, Publications & Creative Work

The features of open educational resources (OERs) have the potential of enhancing teaching effectiveness and student learning experiences in K-12 education. Encouraging K-12 teachers to use OERs requires an understanding of the factors that have an influence on teachers’ decisions to adopt or use OERs in their teaching. In this regard, this study explored the factors related to how teachers perceived their use of OERs, including the perceived ease of use of OERs, perceived usefulness of OERs, intention to adopt OERs, attitudes, OER self-efficacy, and so on. The relationships of several proposed factors were explored. The participants were teachers from …

Exploring Minority Students’ Perceptions Of Using Open Educational Resources In A Computer Game Design Course, Yu-Tung Kuo, Yu-Chun Kuo, Hungwei Tseng

Research, Publications & Creative Work

With the increasing use of open educational resources (OERs) in higher education, and the potential of OERs to enhance student learning, this study investigated minority students’ perceptions of using OERs in learning computer programming. The influence of minority students’ OER perceptions on their learning outcomes, as well as the relationships of the perception variables were explored. The participants were minority students from an HBCU institution in the southeastern United States. Quantitative approaches were used to analyze the collected data. The results indicated that the minority students’ perceptions of using OERs had a significant influence on their perceived learning outcomes in …

Skinned Worlds: Virtual Reality And The Postbiological, Alicia Corts

Research, Publications & Creative Work

This paper explores the concept of “skinning” in educational virtual reality (VR) environments, reframing it as a dramaturgical and pedagogical act rather than a mere visual overlay. Through comparative analysis of The World of Hugo Simberg and C!ao: Piazza Navona Experience, the study investigates how design decisions shape user identity, agency, and the performance of learning. Drawing on performance theory, it examines how avatars – or their absence – guide learners through curated paths, subtly influencing perception and interaction. While both applications strip away overt self-representation, they open space for subversion, reflection, and imaginative engagement. The paper argues that skinning …

The Impact Of International Baccalaureate (Ib) Courses: Experience And Outcome Differences For Full Ib Diploma Earners Vs. Non-Diploma Earners In An Urban School In The Us, Christopher Jennens, Nilufer Guler

Research, Publications & Creative Work

This study examines differences in educational experiences and outcomes for high school(HS) students who participated in the International Baccalaureate (IB) Diploma Program and earned full diplomas compared to those who participated in the IB Diploma Program but did not earn the diploma. ACT scores, after-high school placement, and HS graduation rates of 256 participants were collected. 122 participants completed an online survey, and 12 participated in interviews. The results revealed that the educational outcomes and experiences for diploma and non-diploma earners were vastly similar. Diploma earners had significantly higher ACT scores, but their college entrance and other academic outcomes were …