Digital Commons Network^™

Mitigating Risk: Predicting H5n1 Avian Influenza Spread With An Empirical Model Of Bird Movement, Fiona Mcduie, Cory T. Overton, Austen A. Lorenz, Elliott L. Matchett, Andrea L. Mott, Desmond A. Mackell, Joshua T. Ackerman, Susan E.W. De La Cruz, Vijay P. Patil, Diann J. Prosser, John Y. Takekawa, Dennis L. Orthmeyer, Maurice E. Pitesky, Samuel L. Díaz-Muñoz, Brock M. Riggs, Joseph Gendreau, Eric T. Reed, Mark J. Petrie, Chris K. Williams

Faculty Research, Scholarly, and Creative Activity

Understanding timing and distribution of virus spread is critical to global commercial and wildlife biosecurity management. A highly pathogenic avian influenza virus (HPAIv) global panzootic, affecting 600 bird and mammal species globally and over 83 million birds across North America (December 2023), poses a serious global threat to animals and public health. We combined a large, long-term waterfowl GPS tracking dataset (16 species) with on-ground disease surveillance data (county-level HPAIv detections) to create a novel empirical model that evaluated spatiotemporal exposure and predicted future spread and potential arrival of HPAIv via GPS tracked migratory waterfowl through 2022. Our model was …

Next Steps For Assessing Ocean Iron Fertilization For Marine Carbon Dioxide Removal, Ken O. Buesseler, Daniele Bianchi, Fei Chai, Jay T. Cullen, Margaret Estapa, Nicholas Hawco, Seth John, Dennis J. Mcgillicuddy, Paul J. Morris, Sara Nawaz, Nishioka, Anh Pham, Kilaparti Ramakrishna, David A. Siegel, Sarah R. Smith, Deborah Steinberg, Kendra A. Turk-Kubo, Benjamin S. Twining, Romany M. Webb

Faculty Research, Scholarly, and Creative Activity

There are many potential approaches to marine carbon dioxide removal (mCDR), of which ocean iron fertilization (OIF) has the longest history of study. However, OIF studies to date were not primarily designed to quantify the durability of carbon (C) storage, nor how wise OIF might be as an mCDR approach. To quantify C sequestration, we introduce a metric called the “centennial tonne,” defined as 1,000 kg of C isolated from atmospheric contact for on average at least 100 years. We present the activities needed to assess OIF from a scientific and technological perspective, and additionally, how it might be responsibly …

Optimal Tool Path For Extrusion-Based Additive Manufacturing To Improve Geometrical Accuracy And Productivity, Robert Ehlers, Amir Armani

Faculty Research, Scholarly, and Creative Activity

The objective of this study was to improve the geometrical accuracy and productivity of extrusion-based additive manufacturing processes. Four algorithms were developed to adaptively change the track width in each layer (i.e., adaptive rastering); optimize the rastering orientation for each layer; adaptively change the layer thickness (i.e., adaptive slicing); and optimize the overall orientation of part. These algorithms were implemented in a commercial 3D printer and several case-studies were conducted to examine their efficacy (individually and combined). The results were compared with standard tool path planning software and indicated a significant improvement in both geometrical accuracy and productivity.

Rapid Simulation Framework For Superconducting Qubit Readout System Inverse Design And Optimization, Albert Lu, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Qubit readout is one of the most important operations in quantum computers. In superconducting quantum computers, the success of readout depends on many parameters and is difficult to optimize due to the high dimensionality of the problem. In this work, a rapid simulation framework that comprises an analytical model, a neural network (NN), and optimizers using the NN as a surrogate model is proposed. The analytical model is calibrated to the experimental result and allows rapid simulations to generate enough data to train NNs. Single and multi-objective optimizations are performed. It is shown that a better solution can be found …

Rescaling: Change Agency And The Emerging Geography Of Economic Relationships, Markus Grillitsch, Björn Asheim, Nichola Lowe, Sophie Kelmenson, Lea Fünfschilling, Karl Johan Lundquist, Yahia Mahmoud, Mikhail Martynovich, Pauline Mattsson, Magnus Nilsson, Johan Miörner, Torben Schubert

Faculty Research, Scholarly, and Creative Activity

In this paper, we propose a theoretical and conceptual framework for articulating and studying changes in the global economic landscape and illustrate this framework in the current context. The framework pivots around the notion of rescaling, which is interpreted from a human agency perspective. We disentangle three theoretically distinct dimensions of rescaling and show how they play together using concrete examples. The theoretical and conceptual framework links the intended and unintended consequences of globalisation to current rescaling efforts, and allows us to investigate when, why, and how changes to the geography of economic relationships occur.

Research On Teachers Of Color And Indigenous Teachers: Developing And Fortifying Policies That Diversify The Educator Workforce, Conra Gist, Travis J. Bristol, Saili Kulkarni

Faculty Research, Scholarly, and Creative Activity

This special issue expands upon the Handbook of Research on Teachers of Color and Indigenous Teachers (Gist & Bristol, 2022a) and the practitioner-focused Phi Delta Kappan special issue, “Learning from the Voices of Black, Indigenous and People of Color Educators: Charting New Directions for Research, Policy, and Practice” (Gist & Bristol, 2021). The co-created articles in this special issue highlight the combined expertise of policy makers and education researchers. While the Handbook featured empirical research, and the Phi Delta Kappan special issue featured research briefs and teacher testimonies, the policy-driven articles in this special issue explore how research can be …

Resume Content Generation Using Llama 2 With Adapters, Navaneeth Sai Nidadavolu, William B. Andreopoulos

Faculty Research, Scholarly, and Creative Activity

This paper presents a novel approach to enhancing the Llama language model for generating customized resumes tailored to domain-specific job descriptions. Unlike traditional methods that rely heavily on extensive fine-tuning, we implement scalable adapter modules to minimize parameter adjustments. This approach preserves the model's inherent ability to generate coherent and contextually appropriate language across diverse tasks, ensuring that its general linguistic capabilities remain intact. Additionally, we employ a prompting strategy to dynamically create a diverse and comprehensive dataset, ensuring high relevance to various job roles. Using a dataset of 10,000 job descriptions and resumes, our approach resulted in a 20% …

Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard

Faculty Research, Scholarly, and Creative Activity

There has been a recent explosion of articles on minimum sample sizes needed for analyzing qualitative data. The purpose of this integrated review is to examine this literature for 10 types of qualitative data analysis (5 types of saturation and 5 common methods). Building on established reviews and expanding to new methods, our findings extract the following sample size guidelines: theme saturation (9 interviews; 4 focus groups), meaning saturation (24 interviews; 8 focus groups), theoretical saturation (20–30+ interviews), metatheme saturation (20–40 interviews per site), and saturation in salience (10 exhaustive free lists); two methods where power analysis determines sample size: …

Selective Laser Melting And Mechanical Characterization Of Superalloys Made From Recycled Parts, Hugo Tupac-Yupanqui, Amir Armani

Faculty Research, Scholarly, and Creative Activity

Geometrically complex functional parts from recycled Inconel 718 were additively manufactured and characterized. Scrap parts were melted, recycled, and used in a new gas atomization process to produce the feedstock for a selective laser melting printer. Optimal print parameters were determined using finite element simulations. Standard test methods were employed to experimentally examine the properties of parts, including their density, anisotropic tensile behavior, chemical composition, and fracture surface. The results indicated that scrap Inconel 718 parts can be used to additively manufacture high-quality functional parts. As a case-study, an automotive turbocharger was resigned and additively manufactured based on the findings …

Study Of Using Variational Quantum Linear Solver For Solving Poisson Equation, Nithin Reddy Govindugari, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Quantum computing is promising in speeding up the system of linear equations (SLE) solving process. However, its performance is limited by noise. The variational quantum linear solver (VQLS) algorithm is expected to be more resilient to noise than gate-based quantum computing algorithms. This is because error correction is not available yet and VQLS is based on cost function minimization. In this paper, the gate insulator Poisson equation is solved using VQLS. The results are compared to technology computer-aided design (TCAD) results and gate-based quantum algorithm results. We show that, even without error-free qubits, the IBM-Q quantum computer hardware can solve …

The Applicability Of Llms In Generating Textual Samples For Analysis Of Imbalanced Datasets, Saroj Gopali, Faranak Abri, Akbar Siami Namin, Keith S. Jones

Faculty Research, Scholarly, and Creative Activity

In machine learning class imbalance is a pressing issue, where the model is biased towards the majority classes and underperforms in the minority classes. In textual data, the natural language processing (NLP) model bias significantly reduces overall accuracy, along with poor performance in minority classes. This paper investigates and compares the performance of transformer-based models, such as Multi-head Attention with the data levels and algorithmic levels approaches and BERT (Bidirectional Encoder Representations from Transformers) with LLM-based data augmentation. The research utilized the approaches, such as Random Over Sampler, Synthetic Minority Over-sampling Technique (SMOTE), SMOTEENN, data augmentation at word level, class …

The Role Of Intersectionality In Research On Teachers Of Color And Indigenous Teachers, Saili S. Kulkarni, Tanja Burkhard, David J. Johns

Faculty Research, Scholarly, and Creative Activity

This paper emphasizes the complexity and criticality of intersectionality in understanding the research on Teachers of Color and Indigenous Teachers (TOCIT). Cho and colleagues (2013) identified three dimensions of intersectional dialogues: how intersectionality has been used in research and teaching, how it has been used as a theory and methodology, and how it has been used in community organizations. As Cho and colleagues noted, what intersectionality does in theory is equally as important as what it does in practice. Therefore, we drew from the recently published Handbook of Research on Teachers of Color and Indigenous Teachers to highlight how intersectionality …

The Role Of Paradata In Algorithmic Accountability, Ciaran B. Trace, James A. Hodges

Faculty Research, Scholarly, and Creative Activity

This chapter examines how the doings of the algorithm (instantiated through its operations, actions, and steps) and its accompanying algorithmic system are revealed and explored through an engagement with the paradata created as a part of this data-making effort. In doing so, the chapter explores how the concept of paradata helps us understand how information professionals and domain stakeholders conceptualize accountable algorithmic entities and how this influences how they emerge as documented and describable entities. Two complementary frameworks for capturing and preserving paradata for accountability purposes are examined in the process. The first is associated with diplomatic theory and archival …

Towards A Context-Contingent Stage Theory Of Entrepreneurial Opportunity: Introducing The Petii Model, Xiaohong Iris Quan

Faculty Research, Scholarly, and Creative Activity

Understanding opportunity is a crucial aspect of entrepreneurship research. Existing studies have extensively examined individual factors in facilitating entrepreneurial activities such as new venture creation. Although there are some discussions on contextual factors, few connect context with the origin of entrepreneurship—opportunity. Recognising the objectivity of entrepreneurial opportunity, this theoretical article first proposes two types of opportunities—innovative opportunity and imitative opportunity—to understand the nature of opportunity. It then proposes a systematic framework—the PETII (Population, Economic status, Technological advancement, Industry life cycle, Institutions) model—to analyse the role of context in the distribution of opportunity. Furthermore, it examines how both objective contextual factors …

Youth Experiences In Gender–Sexuality Alliances Predict Academic Engagement But Not Disaffection Through Social–Emotional Wellbeing, V. Paul Poteat, Jerel P. Calzo, Hirokazu Yoshikawa, Daniel Kellogg, Robert A. Marx, Abigail Richburg, Arthur Lipkin

Faculty Research, Scholarly, and Creative Activity

Experiences in gender–sexuality alliances (GSAs) could predict youth's academic engagement through improved social–emotional wellbeing (indicated by school belonging, hope, and positive and negative affect). This study utilized three waves of data, each spaced 2–3 months apart, among 627 youth (87% LGBQ+, 45% trans/nonbinary, 48% youth of color) ages 11–22 (Mage = 15.13) in 51 GSAs in the United States in 2021–2022. Greater peer responsiveness in the GSA predicted increased academic engagement through increased wellbeing overall and specifically through hope and decreased negative affect. Advisor responsiveness and GSA leadership correlated with wellbeing and academic engagement in bivariate analyses but were not …

The Global Partners Program A New International Volunteer Opportunity For Ams Members, Walter Dabberdt, Darrel Baumgardner, Robert Bornstein, Gregory Carmichael, Richard Clark, Jeffrey Collett, Harindra Fernando, Efi Foufoula-Georgiou, Dev Niyogi, Mohan Ramamurthy, Alan Robock, Julie Winkler

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Roundtable On Warhol V. Goldsmith: An Introduction To Warhol V. Goldsmith, Amy Adler, Lionel Bently, Susan Bielstein, Johanna Burton, Martha Buskirk, Noam M. Elcott, Jane Ginsburg, Branden W. Joseph, Joan Kee, Liz Linden, Rebecca Tushnet, Graeme Williams, Winnie Wong

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Evaluating The Implementation Of A Relationship-Centered Communication Training For Connecting With Patients In Virtual Visits, Rachyl Pines, Marie C. Haverfield, Stephanie Wong Chen, Ethan Lee, Cati Brown-Johnson, Merisa Kline, Barbette Weimer-Elder

Faculty Research, Scholarly, and Creative Activity

The use of telehealth, specifically virtual visits, has increased and adoption continues. Providers need effective training for how to communicate with patients to develop a connection during virtual visits. This article describes the implementation and evaluation of a course called Mastering Presence in Virtual Visits. Results show that although providers perceive lack of time, technology issues, and lacking experiential knowledge as barriers to enacting course behaviors, the course was feasible and acceptable. Following the course, providers rated key course behaviors as helpful for practice, and 80.7% of providers were likely to recommend the course to a colleague. The course shifted …

Potential Use Of Poultry Farms By Wild Waterfowl In California's Central Valley Varies Across Space, Times Of Day, And Species: Implications For Influenza Transmission Risk, Claire S. Teitelbaum, Michael L. Casazza, Cory T. Overton, Jeffery D. Sullivan, Elliott L. Matchett, Fiona Mcduie, Austen A. Lorenz, Joshua T. Ackerman, Susan E.W. De La Cruz, Diann J. Prosser

Faculty Research, Scholarly, and Creative Activity

Interactions between wildlife and livestock can lead to cross-species disease transmission, which incurs economic costs and threatens wildlife conservation. Wild waterfowl are natural hosts of avian influenza viruses (AIVs), are often abundant near poultry farms, and have been linked to outbreaks of AIVs in poultry. Interspecific and seasonal variation in waterfowl movement and habitat use means that the risk of disease transmission between wild birds and poultry inevitably varies across species, space, and time. Here, we used GPS telemetry data from 10 waterfowl species in and near California's Central Valley, a region where both wild waterfowl and domestic poultry are …

Selective Partitioned Regression For Accurate Kidney Health Monitoring, Alex Whelan, Ragwa Elsayed, Alessandro Bellofiore, David C. Anastasiu

Faculty Research, Scholarly, and Creative Activity

The number of people diagnosed with advanced stages of kidney disease have been rising every year. Early detection and constant monitoring are the only minimally invasive means to prevent severe kidney damage or kidney failure. We propose a cost-effective machine learning-based testing system that can facilitate inexpensive yet accurate kidney health checks. Our proposed framework, which was developed into an iPhone application, uses a camera-based bio-sensor and state-of-the-art classical machine learning and deep learning techniques for predicting the concentration of creatinine in the sample, based on colorimetric change in the test strip. The predicted creatinine concentration is then used to …

Using Problem-Based Exploratory Training To Improve Pilot Understanding Of Autopilot Functions, Jordy K.Van Leeuwen, Annemarie Landman, Eric L. Groen, Randall J. Mumaw, Olaf Stroosma, Marinus M.Van Paassen, Max Mulder

Faculty Research, Scholarly, and Creative Activity

Previous research indicated a need to improve pilot training with regard to understanding of autopilot logic and behavior, especially in non-routine situations. Therefore, we tested the effect of problem-based exploratory training on pilots’ understanding of autopilot functions. Using a moving-base flight simulator, general aviation pilots (n = 45) were trained to diagnose failures either without foreknowledge and guidance (exploratory group), without foreknowledge but with some guidance (exploratory-guidance group) or with foreknowledge and full guidance (control group). They subsequently performed six test scenarios in which their understanding of the effects of failures was tested by requiring them to deduce the failures …

Forced Labor And Transportation: Multi-Disciplinary Perspectives, Kezban Yagci Sokat, Marisa Auguste, Christi Wigle, Chris Baglin

Faculty Research, Scholarly, and Creative Activity

Transportation plays a key role in combating human trafficking. This paper discusses data from the 2021 National Outreach Survey for Transportation (NOST), from the first ever United States Department of Transportation Combating Human Trafficking in Transportation Award winning project. Survey data collected from transportation personnel, victim service providers, and trafficking survivors reinforces the documented perceptions, limitations, and challenges in understanding and combating forced labor discussed among frontline workers. Among 173 respondents working in various state DOT construction units, only 26 % feel slightly or very confident (19 % and 7 %, respectively) about identifying labor trafficking in their work environment. …

Conditional Variational Transformer For Bearing Remaining Useful Life Prediction, Yupeng Wei, Dazhong Wu

Faculty Research, Scholarly, and Creative Activity

Transformer, built on the self-attention mechanism, has been demonstrated to be effective in numerous applications. However, in the context of prognostics and health management, the self-attention mechanism in the Transformer is not effective in selecting the most important features that are highly correlated with the remaining useful life (RUL) of a component. To address this issue, we developed a novel conditional variational transformer architecture consisting of four networks: two generative networks and two predictive networks. The first generative network uses the transformer encoder–decoder as well as both condition monitoring data and RUL as input to extract the most important features …

Reputation Or Court: Individualism, Collectivism, And The Choice Of Enforcement Mechanism In Exchange, Aidin Hajikhameneh

Faculty Research, Scholarly, and Creative Activity

Courts and reputation-based enforcement mechanisms are often employed to mitigate the problem of cheating in trade relationships. The choice between these two enforcement mechanisms is closely associated with individualistic/collectivistic cultural dispositions. Nevertheless, the selection of enforcement mechanism and how it relates to the reliability of third-party enforcement remains understudied. I designed a laboratory experiment in which the options for a safe local trade and a risky yet more profitable long-distance trade are available. When conducting Long-distance trade, subjects could employ a formal or an informal enforcement mechanism to oversee the trade relationships. I examined the subjects' choice of enforcement mechanism …

Transformational Leadership Of Library Chiefs And Its Mediating Effect On Job Satisfaction And Quality Of Work-Life, Catherine Era, Estela Dequito

Library Philosophy and Practice (e-journal)

In this study, chief librarians in the Province of South Cotabato were asked to assess the mediating role that transformational leadership played in the relationship between job satisfaction and quality of work-life. This work used descriptive correlational and mediation techniques in a non-experimental quantitative research design. The researcher questionnaires utilized in the research were adjusted to the goals of the investigation. Through stratified sampling, 83 librarians were chosen to participate in the survey. The statistical techniques used to analyze and interpret the data are mean and Pearson's r. The researcher utilized Google Forms, an online survey tool, to collect the …

Job Satisfaction Of Lis Professionals: Comparative Analysis Of Public/Private Sector’S University Of Karachi Sindh, Pakistan, Abida Hashmani, Naweed Sehar Dr., Areeba Rafiq, Ghulam Fareed

Library Philosophy and Practice (e-journal)

Abstract

Purpose of the study: the prime purpose of this research study is to investigate the fundamentals requirements for workplace satisfaction among library experts in both public and private sector university libraries of Karachi, Sindh.

Design / methodology/approach: the study explores the factors influencing the job satisfaction of Library professionals. Quantitative research design were used to accomplish the study further we have selected 150 professionals for this project. 95 where responded with complete data. The response ratio was 63% and Structured Questionnaire was used to gather data. The collected data were analyzed using statistical package SPSS- 5.

Findings: …

Consortium Building As Determinants Of Perceived Quality Service Delivery By Personnel In University Libraries In Benue State, Nigeria, Doocivir Faith Annune, Olalekan Abiola Awujoola Dr.

Library Philosophy and Practice (e-journal)

The university library is the educational nerve of the university that ensures that information resources are made available and that quality information services are delivered. Providing information services that are of quality in university libraries can however be influenced by a number of factors including consortium building. Thus, the study investigates consortium building as determinants of perceived quality service delivery by personnel in university libraries in Benue State, Nigeria. The descriptive survey research design was adopted for the study, population comprised all 262 library personnel in four university libraries in Benue State, Nigeria. Total enumeration method was used. A structured …

The Evolving Role Of Libraries In The Fourth Industrial Revolution: Navigating Digital Transformation, Abdullahi Olayinka Isiaka, Abdulfatai Soliu, Biliamin Abiola Aremu, Benjamin Adebisi Bamidele, Saidu Saba-Jibril, Adelani Rotimi Ibitoye

Library Philosophy and Practice (e-journal)

Abstract

This article explores the transformative impact of the Fourth Industrial Revolution (4IR) on libraries and their pivotal role in navigating the challenges and opportunities brought forth by rapid technological advancements. Libraries, traditionally perceived as repositories of books and information, are undergoing a profound metamorphosis in the digital age. The 4IR, characterized by breakthroughs in Artificial Intelligence, the Internet of Things, and Data Analytics, demands a redefinition of the library’s purpose and services. The first section introduces the concept of the 4IR and its key technological advancements. Emphasis is placed on understanding the dynamic landscape of the 4IR and the …

Influence Of User Satisfaction On Library Patronage Among Postgraduate Students In Ladoke Akintola University Of Technology, Ogbomoso, Oyo State, Nigeria, Adeola Adesoji Arinola Ph.D, Olatundun Oluwatoyin Oyewunmi Phd, Adewale Joel Sobalaje, Ezekiel Tubosun Olatunji

Library Philosophy and Practice (e-journal)

This study investigated the correlation between user satisfaction and library patronage among postgraduate students at Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria. A questionnaire was developed for data collection and validated, demonstrating a good reliability, with a coefficient of 0.847 (84.7%) for library patronage and 0.823 (82.3%) for user satisfaction. 120 responses were obtained and analyzed based on descriptive statistics (percentage, mean, average mean, and standard deviation) as well as inferential (Pearson Product Moment Correlation) statistics. The findings revealed a significant correlation between library patronage and user satisfaction (r= 0.000c, N = 120, P < 0.05) among postgraduate students of the University. The study concluded that adequate library customer care services and prioritizing meeting the essential needs of postgraduate students would enhance their satisfaction and consequently increase their library patronage. It was recommended that the university administration, in collaboration with the library management, address the issues that hinder effective utilization of the university library.

Webometrics Analysis Of Government Medical Colleges Of Bihar: A Study, Debashish Pandit Paul, Mohd. Aslam Khan, Anubhaw Kumar Suman

Library Philosophy and Practice (e-journal)

The study presents the webometrics analysis of 9 websites of Government Medical Colleges under the Health Department, Government of Bihar. The Purpose of in study to identify the web presence, domain analysis and other webometrics indicators of the selected website. The study uses SEO MOZ for data collection. It was found that the website of Sri Krishna Medical College and Hospital, Muzaffarpur (SKMCH) has the highest domain authority of 27 and the highest page authority of Nalanda Medical College and Hospital, Patna (NMCH) of 35. The study concluded that all websites should be inter-connected, well-maintained and …