Digital Commons Network^™

Towards Primary Health Care Education Reform: A Reflexive Thematic Analysis Of Nursing Supervisors' Perceptions, Experiences And Challenges, Debbie Procter, Mccullough, Debbie Massey, Karen Strickland

Research outputs 2022 to 2026

Aim: To explore Primary Health Care nurses' experiences of supervising nursing students on clinical placements and their perceptions of academic preparation for placement and future employment. Background: Primary Health Care nurses are essential workers within sustainable health systems but pre-registration educational preparation and access to clinical experiences can be limited. Previous research correlates positive clinical experiences with workforce intentions. Furthermore, nursing supervisors are pivotal to maximising student experiences and education, yet little is known about their perceptions, challenges, and views about how current curriculum prepares students to commence professional careers in primary care. Understanding their perceptions may inform curriculum, improve …

Central Bank Financial Strength, Credibility, And Global Market Risk: Evidence From Southeast Asian Economies, Mega Fauziah, Hermanto Siregar, Solikin M. Juhro, Tanti Novianti, Sigit Wibowo

Bulletin of Monetary Economics and Banking

This paper examines central bank credibility in the context of its financial strength, independence, and global market uncertainty in five Southeast Asian countries between 2005 and 2023. We find that the global market risk indicated by VIX reveals that these Southeast Asian economies, despite achieving considerable central bank independence and institutional development, remain fundamentally constrained by global market conditions in maintaining their credibility, measured by the difference between the inflation rate and its target in the same year. We argue that in emerging economies exposed to global uncertainty, central bank profitability, conditional on its independence, is vital for central banks …

Puzzling Behavior In Monetary Policy Transmission: New Evidence From Central Asian Economies, Elyor Davlatov, Judit Sági

Bulletin of Monetary Economics and Banking

The misidentification of monetary policy shocks typically produces the price, and the exchange rate puzzles in empirical studies. Numerous identification approaches have been introduced in the VAR literature, and these approaches have been applied to address anomalies in various countries. This study examines how well these identification approaches have worked in resolving price and exchange rate puzzles under state dominance in the financial sector in a highly dollarized and shallow financial market environment of Central Asian Economies (CAEs). First, a baseline Vector Autoregression (VAR) model with short-run restrictions is estimated using Cholesky factorization, with anomalous results observed for both prices …

Bank Soundness Index For Indonesia: The Generalized Dynamic Principal Component Analysis Approach, Yusita Octina Budiyanti, Nasrudin Nasrudin

Bulletin of Monetary Economics and Banking

In Indonesia, the Bank Soundness Index (BSI) serves as an early warning instrument for assessing the stability of Conventional Commercial Banks (CCBs) and Islamic Commercial Banks (ICBs). This study develops the BSI employing the Generalized Dynamic Principal Component Analysis (GDPCA) methodology and incorporates the fundamental indicators from the Financial Soundness Indicators released by the IMF. The BSI for CCBs is formulated using three primary components, with the Operating Expense to Operating Income ratio assigned the greatest weight. Likewise, the BSI for ICBs is constituted by three primary components, with the Liquid Asset ratio carrying the greatest weight. The developed BSI …

Oil Futures Reactions To Monetary Policy Surprises: A High-Frequency Analysis, Syed Mujahid Hussain Dr., Basel Awartani, Farrukh Javed, Iqbal Khadaroo Dr., Nader Virk Dr.

Bulletin of Monetary Economics and Banking

This study examines how oil futures respond to monetary policy shocks arising from FOMC and ECB target-rate announcements, using high-frequency data. The results indicate that both sets of announcements significantly influence oil futures prices. However, FOMC decisions have a more pronounced effect on oil futures, whereas ECB interest rate surprises predominantly have a limited impact on the oil futures return and volatility. The analysis further uncovers an asymmetric response to positive versus negative interest rate shocks. These findings enhance the understanding of how monetary policy surprises are transmitted to oil futures markets. Therefore, these results have important implications for policymakers …

Offline And Thriving: Understanding The Professional And Personal Lives Of Non-Social Media Users In A Digitally Dominant Era, Bhargava Mantena

Dissertations

Existing research has treated voluntary social media abstinence as the absence of users rather than as a condition worth study. This mixed-methods study examined its psychological and occupational correlates. Adults aged 21 to 65 reporting abstinence from all major platforms for six months or more completed three validated instruments measuring mental well-being, work engagement, and perceived social isolation; a purposive subsample of 12 took part in semi-structured interviews. The analysis set comprised 120 participants, below the 128 indicated by the a priori power analysis. Research Question 1 could not be tested as approved, because no active-user comparison group was recruited; …

Autonomy, Adolescents, And Artificial Intelligence, Michael J. S. Beauvais

Journal of Science & Technology Law

In this essay, I explore the potential implications of adolescent use of AI assistants on the development of adolescents’ capacities for autonomy. Thinking through these issues from the perspective of first principles is, I believe, needed in order to sharpen our understanding of some of the issues AI assistants pose for young people. A clear analysis will suggest which legal or policy prescriptions should follow.

I first give an overview of adolescent use of AI assistants, noting their popularity and the variety of use contexts. Drawing upon the work of Catriona Mackenzie, I then outline a relational conception of autonomy …

Front Matter

Journal of Science & Technology Law

No abstract provided.

Patents And Incentives To Assign, License, Or Litigate, Keith N. Hylton

Faculty Scholarship

This paper presents a model of the activity of patent intermediaries and potential infringers in a system of costly patent litigation.  Because the intermediary, in comparison to the inventor, has a more credible threat to sue, both the revenue from infringement litigation and the intrinsic value of the patent are greater in the intermediary’s hands.  The central finding is that intermediaries license patents to potential infringers when infringement litigation is inefficient. Intermediaries tend to acquire high-quality patents from inventors and assign low-quality patents to potential infringers. Another issue this model addresses is the differential between the private and the social …

Ai Slop, Jessica Silbey, Woodrow Hartzog

Faculty Scholarship

The term “AI slop” has become popular to describe the output of generative AI systems seen as voluminous, low quality, or the result of little effort. When AI-generated music and videos flood platforms, they are called slop. Peer-reviewed journals and legal tribunals are drowning in low-quality and low-reliability AI slop submissions.  Employees are seen to be producing mountains of slop in their reports and communications with each other. The term has inertia and heft, and the phenomenon has significant consequences. Most of them are not good.

But the boundaries of “AI slop” and its usefulness in policy discussions are not …

Observations Of Foxing On Albumen: A Technical Analysis Of Three Photographs, Margaret Canfield

Art Conservation Master's Projects

This project centers around three albumen landscape photographs from the 1870s and 1880s. The three photographs all display severe, yet visually different foxing and staining. The project explores the cause of the foxing on each photograph and how that affects the photographic structure. The analytical techniques utilized were technical imaging, x-radiography, optical microscopy, x-ray fluorescence mapping, Fourier-transform infrared spectroscopy, scanning electron microscopy with energy dispersive x-ray spectroscopy, and microflora isolation.

A Framework For Automated Quantity Extraction From .Ifc Models And Normalized Bid Comparison, Asmaa Mohamed Farouk

Theses and Dissertations

Accurate bid comparison remains a major challenge in construction tendering due to

differences in Bill of Quantities formats, item naming conventions, and pricing methods across

contractor submissions. These variations require time-consuming manual work and often lead to

subjective decisions. This research presents a computational framework that uses Building

Information Modeling through the .ifc file format, combined with text analysis techniques for

automated bid normalization.

The developed system uses a dual-component approach. Phase 1 extracts quantities from .ifc

model files using 3D geometric calculations, automated element classification. Phase 2 uses text

mining with a domain-specific dictionary of construction terms to interpret …

Religious Change In The Context Of Modernity: Innovation, Restoration, And Decline, Feyza Akova, Amy Lawton, Diane Winston

Sociology Faculty Research and Scholarship

In this paper we examine how the modern conditions of the twenty-first century and the contemporary United States context shape religious change and religious life. Rather than treating modernity as a force that only weakens religion, as classical secularization accounts have largely argued (Berger 1963; Chaves 1994; Wallis and Bruce 1992), or as a context that promotes vitality primarily through pluralism and competition, as the religious economy paradigm suggests (Finke and Iannaccone 1993; Finke and Stark 1992, 2000; Iannaccone 1994), we show how it can also shape and produce broad patterns of religious change with particular attention to various characteristics …

Mechatronics: Fundamentals, Design, Integration, And Validation, Guoming Zhu

Mechatronics

This textbook is a product of Co-DREAM OER (Collaborative Development of Robotics, Mechatronics, and Advanced Manufacturing Open Educational Resources), an initiative funded by the U.S. Department of Education to develop open educational resource textbooks on robotics, mechatronics, and advanced manufacturing processes. The texts are written for students enrolled in 2-year associate’s, 4-year bachelor’s, and graduate-level courses. This specific text has been created by a team of scholars, students, support staff, and other professionals from across the country. It is intended for mechatronics courses for 4-year bachelor’s and graduate-level programs.

What Matters For Bar Success: Doctrinal Performance, Coursework Exposure, And First-Time Bar Passage, Jason Scott, Rob Hunter, Andrea Pals

AccessLex Institute Research

This study examines how enrollment and academic performance in doctrinal law courses relate to first-time bar passage. Drawing on a large, multi-institutional data set, we estimate the associations between doctrinal GPA, course completion, credit accumulation, and first-time bar passage using regression adjustment and doubly robust methods designed to reduce selection bias. Across all models, performance in doctrinal coursework emerges as the strongest and most consistent predictor of first-time bar passage, far outweighing the influence of credit accumulation or course completion. Although greater exposure to doctrinal and skills-based coursework is positively associated with bar passage, these effects are comparatively modest, reinforcing …

Decolonial Human Rights Practice: Tactics, Obstacles, And Futures, Sarah Knuckey, Anjli Parrin, Gulika Reddy

Faculty Books

Human rights advocacy takes place within a deeply unequal world. As activists seek to protect rights, they struggle against the global economic and political power imbalances that drive violations. Movements for human rights are engaged in an internal struggle as well: against a human rights ecosystem that has long favored Global North organizations at the expense of civil society in the Global South. Decolonial Human Rights Practice: Tactics, Obstacles, and Futures explores the ongoing struggle of human rights organizations to confront and dismantle the coloniality of human rights advocacy.

Through a granular study of everyday advocacy practice which builds upon …

2026 Safety Belt Usage Survey In Kentucky, Erin Lammers-Staats, Derek S. Young, Kenneth R. Agent

Kentucky Transportation Center Research Report

No abstract provided.

Kentucky Transportation Cabinet Secretary’S Office Of Safety ‘Safety Academy’, Gabriel Dadi, Farshid Taherpour, Amanda Casolare

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) Safety Academy was developed to provide a structured and practical safety training program that strengthens safety leadership, planning, communication, employee engagement, hazard recognition, and continuous improvement across KYTC operations. The program was refined over the course of multiple discussions with Cabinet representatives to ensure that the content reflected the needs and responsibilities of KYTC personnel. The final Safety Academy consists of six modules: Safety Academy Welcome, Safety Leadership, Safety Planning, Safety Engagement, Hazard Recognition, and Safety Academy Closeout and Evaluation. The modules combine instructional content with discussions, practical examples, group exercises, and KYTC-related scenarios to …

Trustworthy And Explainable Malware Threat Intelligence Through Social Media Analytics And Nature-Inspired Optimization, Feras Al-Obeidat, Muhammad Saad Rashad, Muhammad Amin, Waqas Ali, Bilal Khan, Sajid Anwar

All Works

The convergence of media analytics, Cyber threat Intelligence (CTI) and trustworthy artificial intelligence has become essential for modern cybersecurity systems operating over large-scale, heterogenous data sources. In particular, Social Media Intelligence (SOCMINT) and Open Source Intelligence (OSINT) provide high-volume, real-time signals that complement structured CTI frameworks for early-stage malware and adversarial threat detection. However, integrating these unstructured and dynamic sources with Structured Threat Information Expression (STIX) remains challenging due to its hierarchical complexity, semantic redundancy, and computational overhead in resource-constrained environments. This paper proposes an explainable and optimized intelligence pipeline (BERT-STIX) that unifies SOCMINT, OSINT, and STIX-based CTI using deep …

Diffusion-Informed Joint Segmentation Enhances Detection Of Thalamic Atrophy In Parkinson’S Disease, Gozde Kizilates-Evin, Ani Kicik, Emel Erdogdu, Dilek Betul Saridede, Sevim Cengiz, Basar Bilgic, Hasmet A. Hanagasi, Esin Ozturk-Isik, Tamer Demiralp, Ali Bayram

All Works

The thalamus is a critical subcortical hub that relays sensorimotor information and regulates higher-order cognitive processes. Accurate delineation of thalamic nuclei is essential for elucidating disease mechanisms and tracking clinical progression. In this study, we compared two segmentation approaches implemented in FreeSurfer: the conventional structural method and a joint framework that integrates diffusion tensor imaging. Magnetic resonance imaging (MRI) data from 24 healthy controls (HC), 27 patients with cognitively normal Parkinson’s disease (PD-CN), and 33 Parkinson's disease patients with mild cognitive impairment (PD-MCI) were analyzed. Segmentation methods were compared in HC to assess their effect on volume estimates. Group comparisons …

Deployment-Oriented Evaluation Of Temporal And Spatial Forecasting Approaches For Electric Vehicle Charging Demand In Energy Systems, Maher Alaraj, Eyob Solomon Getachew

All Works

Accurate short-term electric vehicle (EV) charging demand forecasting is important for charging infrastructure operation, grid management, and energy-system planning. This study presents a deployment-oriented and reproducible evaluation of temporal, spatial, and unified spatio-temporal forecasting approaches for day-ahead EV charging demand prediction. Using publicly available charging-session data aggregated at hourly resolution across ZIP-code regions, we compare persistence and ARIMA baselines, XGBoost, Long Short-Term Memory (LSTM) networks, Graph Convolutional Networks (GCNs), and a unified GCN+LSTM architecture under a consistent preprocessing pipeline, leakage-free validation protocol, and rolling-origin evaluation framework. For the Boulder ZIP-code dataset considered in this study, temporal information provided the dominant …

Dustmambanet: A Hybrid Inceptionv3–State-Space Network For Robust Solar Panel Dust Detection, Kadhim Hayawi, Sakib Shahriar

All Works

To develop a robust, scalable vision-based model for automatic detection and quantification of dust accumulation on solar photovoltaic panels, overcoming limitations of existing convolutional and attention-based methods and supporting proactive maintenance. We propose DustMambaNet, a hybrid model that consists of a pretrained InceptionV3 convolutional neural network as a feature extractor and two selective state space sequence modules. The state space modules use gated depthwise convolutions to represent long-range spatial dependencies that are of linear complexity, after rearranging spatial features to form sequences. The network provides a binary classification of dust with a severity index (DSI) and a continuous one. All …

Folding The 4-H Clove-Air, Claes Thelemarck

UNH Cooperative Extension

No abstract provided.

Remembering The Great Gumpert, Susan Drucker

Proceedings of the New York State Communication Association

No abstract provided.

A Gary Gumpert Remembrance, Lewis Freeman

Proceedings of the New York State Communication Association

No abstract provided.

Gary Gumpert As Mentor, Teacher, Friend, Thom Gencarelli

Proceedings of the New York State Communication Association

No abstract provided.

Remembering Gary Gumpert, Mary L. Kahl

Proceedings of the New York State Communication Association

No abstract provided.

Remembering Gary Gumpert, Lance Strate

Proceedings of the New York State Communication Association

Thoughts on Gary Gumpert.

Finding One’S “Voice” Within A World Of Generative Generics: Exploring Human-Forward Strategies For Framing Student Assignments, Evelyn Plummer

Proceedings of the New York State Communication Association

The onset of A.I. applications has brought much consternation to all sectors of education. In the current phase, we are exploring the effective yet ethical adoption of A.I. tools. However, the presumption remains that A.I. is to be used for enhancing time efficiency & data comprehensiveness—as if those factors represent the best of all human endeavors. However, this GIFTS addresses a different learning objective: maintaining one’s authentic voice amid the generative tools which enable the outsourcing of one’s thinking, writing, and expression. The goal is to help students exercise autonomy and adaptation rather than relying on generated material which neither …

Personalizing Assignments In The Ai Era: The Role Of Engaged Pedagogy, Ann Liao

Proceedings of the New York State Communication Association

Generative artificial intelligence (Gen AI) has taken the academic world by storm.  This G.I.F.T.S. paper argues that personalizing academic assignments may curb students’ tendency to copy and paste content from Gen AI outputs.  I demonstrate how I personalized a written assignment in one of my courses.  A total of 81 paper grades were analyzed, and no significant difference was found between students who engaged in personalizing their learning and those who did not.  Final course grades showed the same result.  Although no statistically significant difference was detected, personalizing assignments remains a valuable way to engage students in the Gen AI …