Digital Commons Network^™

Passed Through Or Pushed Back? Exchange Rate Effects On Manufacturing Trade Prices In Indonesia And The Asean Plus Three, Fatikha Rizky Kurnia, Miguel Angel Esquivias, Wee-Yeap Lau, Unggul Heriqbaldi

Bulletin of Monetary Economics and Banking

This study analyzes the Exchange Rate Pass-Through (ERPT) on export and import prices in Indonesia’s manufacturing trade with ASEAN Plus-three countries (China, Japan, and South Korea) using monthly data from 2016 to 2022. Employing the Nonlinear (NARDL) models, we examine the degree and asymmetry of ERPT across five key manufacturing sectors for each partner. The NARDL model confirms asymmetric price responses to currency appreciation and depreciation in several sectors. The findings reveal significant sectoral and country-specific variations. Some export sectors experience complete pass-through in the short term but shift to negative complete passthrough in the long run. Meanwhile, imports from …

Investigation Of The Lower Block Rows In The King’S Chamber Of The Great Pyramid Using Ultrasonic Testing With Shear Wave Arrays, Benedikt Maier, Amr G. Hamza, Alejandro Ramirez-Pinero, Khaled Taie, Thomas Schumacher, Olga Popovych, Mohamed Elkarmoty, Mehdi Tayoubi, Hany Helal, Christian U. Grosse

Civil and Environmental Engineering Faculty Publications and Presentations

This study investigates the internal geometry of the granite block rows in the King’s Chamber (KC) of the Great Pyramid of Giza using Non-destructive testing (NDT) with ultrasonic testing (UST) using shear wave echo arrays. As part of the ScanPyramids (SP) project measurement campaigns in 2022, the lower two block rows of all four walls were examined using ultrasonic shear-wave echo arrays (PD8000, Screening Eagle Technologies). The measurement strategy initially included rapid overview acquisitions using an 8-channel UST device to identify potential areas of interest. High-resolution, detailed measurements were then performed at these locations, particularly along the north wall (NW) …

Critical Care Nurses’ Self-Efficacy In Responding To Emergency Code Situations, Nesheemah Sabree

Walden Dissertations and Doctoral Studies

No abstract provided.

The Mascarene Archipelago, A Data-Poor Region For Mobulid Rays: First Records, Seasonal Patterns And Conservation Implications, Joanna Harris, Estelle Crochelet, Prashant Mohesh, Guy M.W. Stevens

School of Biological and Marine Sciences

The distribution and seasonal occurrence of manta and devil rays (mobulids) remain poorly understood across much of the Western Indian Ocean, particularly within remote island systems. Here, we present the first synthesis of species-level mobulid records for the Mascarene Archipelago (La Réunion, Mauritius and Rodrigues) using a combination of direct and passive citizen-science observations collected between 2014 and 2026. A total of 107 sightings were documented from 75 sighting events, comprising Mobula birostris (n = 29), M. thurstoni (n = 40), M. alfredi (n = 5), M. tarapacana (n = 2) and unidentified Mobula spp. (n = 31). One M. …

The Relationships Between Perceived Quality Of Sexual Educational Experiences From Multiple Sources And Sexual Wellbeing Outcomes In A Sample Of U.S. College Women, Alex Diede

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Sexual education comes from many sources and is important for sexual wellbeing. Much of the research on relationships between sexual education and sexual wellbeing has examined specific sources (e.g., schools or parents) and outcomes related to sexual risk-reduction, such as contraceptive use (e.g., Lameiras-Fernández et al., 2021; Widman et al., 2016). Less is known about the relationships between sexual education and positive sexual wellbeing outcomes. This study used a sample of college women to examine the relationships between the perceived quality of sexual education before college from four sources (i.e., caregivers, school, peers, self) and sexual wellbeing outcomes, including ego-focused …

The Roots Of Sexual Violence In Utah: A Framework For Understanding Harm, Susan R. Madsen

Marketing and Strategy Faculty Publications

Sexual violence in Utah is not an anomaly, a private tragedy, or the result of individual deviance. It is a patterned, predictable outcome of cultural norms, social systems, and power structures that shape how people understand gender, authority, and worth. Despite Utah’s reputation for strong families, close‑knit communities, and deep religious commitment, the state continues to report higher‑than‑national‑average rates of rape, child sexual abuse, and other forms of gender‑based harm. These realities demand a deeper understanding of why violence persists—and what can be done to prevent it.

This white paper synthesizes decades of national and international research, Utah‑specific data, and …

Hierarchical Bayesian Evidence On Cbdc Adoption: The Case Of Indonesia’S Digital Rupiah, Akbar Syahid Rabbani, Jongsu Lee

Bulletin of Monetary Economics and Banking

This study analyzed accessibility, privacy, transferability, and interest rates related to the adoption of Digital Rupiah, Indonesia’s Central Bank Digital Currency (CBDC), among rural and urban consumers. Findings from a hierarchical Bayesian model show that mobile applications are the main acquisition channel, and enhanced transferability with bank accounts and electronic money boosts consumer utility. However, there are concerns about fully anonymous transactions, differentiated by socio-demographic profiles (age, income, education, and knowledge). Scenario analysis suggests the potential CBDC adoption rate in Indonesia could range from 38% to 55%, influenced by privacy levels and the central bank’s interest rates.

Is Fdi A Panacea? Unveiling Spillover Effects On Efficiency And Risk In Indonesian Manufacturing, Fichrie Fachrowi Adli, Dyah Wulan Sari, Dian Enggar Lintang Pertiwi, Mohammad Zeqi Yasin

Bulletin of Monetary Economics and Banking

This study builds on Javorcik (2004), who argues that countries attract Foreign Direct Investment (FDI) with the expectation that spillovers will benefit local firms. However, empirical evidence on this effect remains inconsistent. This research addresses the gap by examining the impact of horizontal spillovers not only on production efficiency but also on production risk. It also accounts for firm heterogeneity in the manufacturing sector by classifying technological intensity using unsupervised machine learning, specifically K-means clustering, into three categories based on OECD (2011): High Technology (HT), Medium Technology (MT), and Low Technology (LT). The study uses data from Statistik Industri (SI) …

Structure–Optical Property Relationships In Amm′Q3 Chalcogenides, Ayat Tassanov, Huiju Lee, Daniel W. Spainhour, Yi Xia, James M. Hodges

Mechanical and Materials Engineering Faculty Publications and Presentations

Ten ACuHfQ₃ (A = Na, K, Rb, Cs; Q = S, Se, Te) chalcogenides were prepared via high-temperature solid-state methods and structurally characterized using single-crystal X-ray diffraction. The type-I AMM′Q₃ structures are defined by the arrangement of HfQ₆ octahedra (O) and CuQ₄ tetrahedra (T) in their layers, which adopt either OTOT (Cmcm, Pnma) or OOTT (Pnma, P2₁/m) connectivity. UV–vis absorption and photoluminescence spectra indicate optical band gaps ranging from 1.2 to 1.7 eV and reveal that OTOT and OOTT variants have direct and indirect band gaps, …

Identifying Parkinson’S Disease From Gait Biomechanics Using A Participant-Level Machine Learning Analysis Pipeline, Li Jin

Faculty Research, Scholarly, and Creative Activity

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor control, balance, and gait impairments that significantly elevate fall risk. Traditional gait analysis focuses on spatiotemporal parameters, while gait variability, asymmetry, and balance measures offer more sensitive indicators of PD-related motor deficits. Machine learning studies using wearable gait data frequently report high classification accuracy but lack biomechanical interpretability and methodological rigor. Using the PhysioNet Gait in Parkinson’s Disease database, 93 individuals with PD and 72 healthy controls were analyzed during level-ground walking. Key biomechanical differences were identified: stride time coefficient of variation was significantly higher in PD bilaterally (left …

Re: Conditional Approval Letter For Butte Priority Soils Operable Unit Draft Final Leak Detection Monitoring Plan (Dated May 13, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Poe: A Clarinet And Percussion Album, Paul Andrew Hayes

Electronic Theses and Dissertations Archive

​A clarinet and percussion duo is an underutilized chamber ensemble. This recording project focuses on repertoire that is more accessible to the performer and listener, and offers a varied selection of instruments in the percussion parts. In this project, some percussion parts feature Middle Eastern instruments. It contains three commissioned works: Poe by Andy Harnsberger, Light on the Ice by Josh Gottry for clarinet and marimba, and Quicksand by Marco Schirripa for clarinet and riq. Also included in the project are two works not well represented in recordings: Jubb Jannin by Yousif Sheronick for clarinet and bendir, and Three Pieces …

Transport And Interfacial Dynamics Of Electrochemical Formation Processes In Li-Based Batteries, Penghao Zhang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Next-generation high-capacity batteries often rely on electrochemical formation processes rather than conventional intercalation alone. Such processes include lithium metal deposition and Li–O2 discharge-product formation, in which new phases form at the electrochemical interface during operation. As a result, the measured response reflects both electrochemical driving forces and the evolving product morphology. This coupling makes it difficult to interpret electrochemical data, microscopic observations, or model results in isolation. This dissertation examines this problem through three main studies and one preliminary extension on Li–O2 batteries and lithium metal deposition, each addressing a different factor that affects how electrochemical product formation is measured, …

Photoluminescent Studies Of Metal-Organic Frameworks For Small Molecule Sensing, Julia T. Dematteo

USF Tampa Graduate Theses and Dissertations

Metal–organic frameworks (MOFs) are highly tunable nanoporous materials with broad applications in gas separation, drug delivery, light harvesting, and chemical sensing. The incorporation of photoactive components into MOFs enables the development of optical sensors capable of detecting a wide range of analytes. Porphyrins and metalloporphyrins are particularly attractive for such applications due to their high molar absorptivity, strong emission quantum yields, and versatile interactions with chemical species.

In this work, two porphyrinic MOFs, PCN-222 and MOF1(Cd), are investigated. Both frameworks utilize tetrakis(4-carboxyphenyl)porphyrin (TCPP) as the organic linker, imparting optical functionality to the materials. Integration of TCPP into the framework induces …

Reading Echoes Of Homer In Plato: Finding Philosophical Insights By Reading Plato's Dialogues As Poiēsis, Stephen R. Lasse

USF Tampa Graduate Theses and Dissertations

Reading Echoes of Homer in Plato: Assessing the legitimacy of the macro-level thesis that approaching Plato from the poetic tradition starting with Homer generates philosophical insights not available when reading his dialogues as the first installments in the Western tradition of philosophy. It begins by identifying equivocal nuances in the dramatic content of Plato’s dialogues that are left unexplored by the current standard approach that attributes a progressive developmentalist approach to Plato’s authorial intent before suggesting an alternative unitarian approach to Plato as an author who maintains an unchanged point of view throughout his corpus of work. It then identifies …

Exploring Gene Regulatory Neural Network Biocomputing Of Bacteria, Adrian Merle Ratwatte

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Artificial Intelligence (AI) has evolved from brain-inspired algorithms into a discipline that increasingly integrates with biological systems. While silicon-based platforms have advanced machine learning, they remain limited in energy efficiency and operation in environments beyond silicon. This motivates biological computing as an alternative, enabling efficient, resource-aware, and reconfigurable computing within living systems. This dissertation addresses these limitations by introducing a bacterial computing framework that models Gene Regulatory Networks (GRNs) as Gene Regulatory Neural Networks (GRNNs). The GRNN mirrors the structure and function of Artificial Neural Networks (ANNs) through gene-gene interactions across trans-omic layers, enabling natural, self-regulating information processing within living …

Interview With Geoffrey 'Geoff' Alger, Geoffrey 'Geoff' Alger, Logan Dovalina

Rio Grande Valley Oral Histories

Geoff Alger (b. 1961, Glen Cove, New York) was interviewed on June 23–24, 2026, at his home in McAllen, Texas, by Logan Dovalina. The interview covers Alger’s life and career as a museum professional deeply rooted in Rio Grande Valley history.

Alger recounts his family’s 1971 move from Long Island to McAllen, his parents’ museum careers (McAllen International Museum, Museum of South Texas History, Confederate Air Force), and his own path from a teenage volunteer to decade-long employment at the Confederate Air Force museum. He discusses later roles as curator and exhibits specialist at museums in Oregon and the Valley …

A Novel Cryptographic Technique Using Amino Acid Compositions Enhanced By Artificial Intelligence Models, Omar Fitian Rashid, Mohammed Ahmed Subhi, Humam Al-Shahwani, Mohammed Khaleel Hussein

Mesopotamian Journal of Computer Science

Encryption plays a vital role in securing sensitive digital data, and traditional cryptographic systems are usually not immune to high-level attackers. The current approaches often base on the use of traditional mathematical models that become more vulnerable to contemporary cyberattacks. The purpose of the current paper is to suggest a new cryptography method that would combine the properties of amino-acid based encoding with artificial intelligence to improve data security. The technique builds amino acid and binary encoding tables, and performs structured mappings along with using a secure key that is produced by permuting a cryptographically secure pseudorandom number generator. Randomized …

Agrarian Livelihoods At Risk: Land Acquisition Conflicts And Local Resistance In The Trans Sulawesi Railway Project, Indonesia, Ahmad Ismail, Putri Nadiah M, Safriadi Safriadi, Yahya Yahya, Pawennari Hijjang, Munsi Lampe, Muhammad Basir, Semiarto Aji Purwanto

Forest and Society

This article explores the socio-political and ecological dimensions of land acquisition in the context of Indonesia's Trans Sulawesi Railway Project, focusing on Salenrang Village in Maros Regency, South Sulawesi. Grounded in a critical ethnographic method, the research examines how affected agrarian communities respond to dispossession through differentiated strategies, ranging from passive acceptance and conditional negotiation to symbolic and moral resistance. These responses are shaped by unequal access to land tenure recognition, fragmented compensation mechanisms, and exclusion from participatory decision-making processes. Drawing on political ecology, critical agrarian studies, and the theory of everyday resistance, the study situates infrastructure development as a …

Ooottafagvah = ???, Matthew Storm Dds

Virginia Dental Journal

No abstract provided.

Partial Newspaper From The Metropolitan Record

Colonel Francis S. Belton Mexican War Letters

Obituary of Francis S. Belton published in the Metropolitan Record newspaper

Managing Neurological Disorders In The Dental Practice- Schizophrenia, Elisabeth Busch Rdh, Bsdh, Laurie Callahan Bsdh, Rdh, Courtney Jones Rdh, Bsdh, Joan Pellegrini Rdh, Bsdh, Ms. Phd

Virginia Dental Journal

No abstract provided.

Visionarium, June 2026, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Toward A Metric For Disciplinary Learning In The Age Of Ai: The Unblooms™ Metacognitive Awareness Scale And Discernment Rate In Ai-Mediated Learning, Tina R. Austin

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Telling students to “reflect on their own thinking” has become insufficient in AI-mediated learning environments. When students are rewarded for polished outputs, cognitive offloading to AI tools becomes rational, and traditional snapshot assessments (single-moment evaluations of task completion) produce false signals about whether durable learning has occurred. This problem is sharpened by the broader shift in AI learning tools toward Socratic tutors, study modes, Khan Academy's Khanmigo, and agentic systems that can shape the learner’s process over time. Lodge and Loble (2026) distinguish beneficial cognitive offloading, which frees working memory for intrinsic learning, from detrimental outsourcing, which bypasses the cognitive …

Metacognition As Disciplinary Infrastructure In Ai-Mediated Learning, Tina R. Austin, Jason Gulya, Nick Potkalitsky

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Metacognition is often presented as a response to generative AI’s disruption of teaching and learning, yet the term has become too generalized to guide practice. In AI-mediated environments, asking students merely to “reflect on your thinking” is insufficient. Because AI tools can redistribute cognitive labor, their educational value depends on how students use them and whether that use supports disciplinary forms of reasoning. This essay argues that metacognition must be understood as disciplinary infrastructure: students cannot effectively monitor their thinking without understanding the epistemological and ontological demands of the field in which they are working. Classrooms therefore become sites where …

Optimizing Human Capital In Ai-Enabled Architectures: A Systems Constraint And Capability Analysis, Jeremy A. Schlegel, Jennifer Daffinee

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Artificial intelligence (AI) comprises not only models, but full socio-technical systems involving data pipelines, instrumentation, human-machine interfaces, deployment architectures, and organizational processes for design, monitoring, and evaluation. Using a systems-oriented analytical framework, this paper argues that despite accelerating advances in AI capabilities, human capital remains the enduring and dominant system constraint. Human interfaces define throughput limits in areas such as prompt engineering, data-stream curation, adjudication of model outputs, and the orchestration of hybrid automation workflows including robotics, scraping, and digitization. Synthesizing emerging research across human-AI interaction, machine-learning lifecycle management, organizational adoption, and adult learning theory, we present a socio-technical evaluation …

Ai As A Creative Collaborator In Music: Exploring Human-Centered Innovation In Large Musical Contexts, Nicholas Caluori, Noah D. Taylor

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

AI-driven audio tools are reshaping musical creation, yet the most consequential shift is not automation of artistry but reconfiguration of collaboration, metacognition, and quality control within large ensembles. This paper examines how generative audio models, vocal synthesis platforms, and stem-splitting technologies can function as creative partners in music arranging and composition workflows, particularly in musical contexts where artistic coordination and interpretive judgment remain paramount. We position AI in music creation as analogous to the calculator in mathematics: widely available, efficiency-enhancing, and therefore unavoidable, while still requiring disciplined human oversight to preserve intent, style, and accountability. The paper surveys practical implementation …

Law Or Flaw: A Double – Blind Study Comparing Student Comprehension Of Real And Ai Generated Legal Case Briefs, Grant Shostak, Nick Wintz, Melissa A. Petkovsek

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In recent years, the U.S. legal system has seen an increase of legal filings using fictitious court cases or legal propositions generated by artificial intelligence (AI) (Stokel-Walker, 2026). Rules of professional responsibility require that lawyers review filings in which AI was used to ensure their accuracy (Missouri Bar, Office of Legal Ethics Counsel, 2024, Opinion No. 2024‑11) Despite this mandate, filings with fictitious cases and incorrect statements of law are being filed. Besides posing a threat to the parties to an action, such filings may set an unwarranted precedent for future cases. They also tie up court resources searching for …

Reflexivity As A Metacognitive Skill: A Conceptual Triadic Learning Alliance Framework For Ethical Human-Ai Collaboration In Education, Jennifer Young

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

As artificial intelligence (AI) is integrated into education and workforce development, the ability to engage reflexively with technology may represent an emerging metacognitive skill. This paper conceptualizes reflexivity as an intentional, cyclical process of recognizing assumptions, reflecting on human-AI interactions, and responding with ethical discernment. Drawing from counselor education and supervision models that emphasize self-awareness and metacognitive reflection, the paper proposes a conceptual framework for cultivating ethical reflexivity in AI-augmented learning and decision-making environments. Through conceptual analysis and integration of the Triadic Learning Alliance (TLA) model, the framework identifies potential strategies for professionals and students to monitor cognitive biases, critically …

Disciplining The "Unrestrained" Child Through Moral Rectification: The "Civilizing" Role Of The Us Educational System, Unleashing An Era Of Assimilation, Urnisha Dutta

Impact: A Journal of Community and Cultural Inquiry in Education

Moral education in the US frequently has centered on cultivating “civic sense” and developing citizens who are morally akin to the dominant culture’s ideals. Although implemented as preventive measures (to avoid an otherwise inevitable suspension), these interventions are colored with dominant cultural sentiments that visualize differences as immoral. The idea of disciplining the “unrestrained” child thus aligns with a Western historical “civilizing” mission that aims at creating “moral citizens” through cultural erasure and behavioral transformation. This article discusses the unpleasant reality of moral education in the US educational system, demonstrating an inherent acculturation politics underlying behavior rectification initiatives. The essay …