Digital Commons Network^™

Assessing The Potential Involutionary Effects Of New Copyright Laws: A Techno-Legal Analysis Based On The Impact Of Web 3.0 On Copyright Protection, Alvin Hung

Seattle Journal of Technology, Environmental, & Innovation Law

As Internet technology evolves, legal professionals and academics must stay current and adapt to these inevitable technological changes. This article investigates the extensive influence of the latest version of the World Wide Web (the Web)—Web 3.0—on copyright laws based on a techno-legal analysis that considers the opportunities and challenges of this new technology. The principal version of copyright laws, the Digital Millennium Copyright Act (DMCA), was enacted in 1998 during the Web 1.0 era, signifying an impending need for appropriate updates in the new Web 3.0 era. This article traces the historical development of U.S. copyright laws by positing it …

Embracing The Flow: The Right To Menstrual Health As A Response To Climate Change Impacts In South Asia, Lea Kuhlmann

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

“I’Ll Have The Fish, Please” – Why Wild, Sustainable Fisheries In The United States Need Permanent Federal Protection, And Fast, Renee Larson

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

The Reality Of Assisted Reproductive Technology: A Call For The Prohibition Of Donor Anonymity, Gisell Mondragon

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

Regulation, Radiation, And Rationality: Calculating An Intersection Of Law And Economics To Enable Nuclear Power Innovation In The United States, Sandra Roettgering

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

“Vr”: Virtual Reality, Or Very Risky? Injuries And Liability From Virtual Reality Headsets, Andrew Stein

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

Impact Of Library Instruction Tutorial Format On Student Preference And Performance In First-Year Chemistry, Tara Stieglitz, Lindsey Whitson

Communications in Information Literacy

This research study investigates the effects of library instruction tutorial format (written versus video) on student preference and performance in chemistry education. The authors assessed the format of tutorials used to provide library instruction in an introductory chemistry course by observing 27 student participants as they took in instructions in either a video or a written format and then completed two chemistry information tasks. While participants expressed strong preferences for particular formats, neither the video tutorials nor the written instructions significantly improved task completion speed or performance. Rather, the authors determined that student preference alone is enough to justify the …

Rapid Cryogenic Electrical Characterization Of Materials And Devices Using Gifford-Mcmahon Cryocoolers, Margaret Marte, Bernardo Langa Jr., Patrick Johnson, Deepak Sapkota, Kathryn Evancho, Bernadeta Srijanto, Dale Hensley, Kasra Sardashti

Journal of the South Carolina Academy of Science

Thin-film heterostructures are necessary building blocks for superconducting and phononic quantum computing devices. Many new generations of quantum hardware demand extensive materials research to optimize performances at cryogenic temperatures (below 10 K). Here, we demonstrate compact cryogenic measurement systems capable of reaching sub-10K temperatures in less than three hours with the ability to measure AC/DC resistance and dielectric properties of thin-film materials. Our platform utilizes Gifford-McMahon (GM) cryocoolers as effective tools for providing high throughput cooling-warming cycles. We successfully used the GM-based measurement systems to measure 1) the superconducting transition temperature for Nb thin films (Tc ~7.8 K), and 2) …

Stochastic Point Process Modeling For Engineering Applications, Samarth Motagi

Doctoral Dissertations and Master's Theses

Hawkes model or self-exciting point process model is a branching point process model. The model classifies the dataset of discrete events to background and offspring events. It has been used to study interconnected events in many fields, but relatively little work exists in applying these concepts to engineering problems. In our research, we use a self-exciting point process model for two engineering applications: (a) To identify secondary crashes from a given traffic data and (b) To quantify the agglomeration state and size of nanoparticles from computationally generated carbon nanotube microstructure using stochastic percolation model and experimentally generated titanium nanoparticle microstructures. …

Re-Thinking Education For Sustainable Development: Key Learning Insights From The Sdsn Usa Transformative Education Summit 2023, Radhika Iyengar, Sumie Song, Deepak Sridhar, Wendy M. Purcell, Ann Nielsen, Iveta Silova, Matthew A. Witenstein, Wen-Wen Tung

Journal of Contemplative and Holistic Education

This paper summarizes key learning insights from the 2023 U.S. Summit on Transformative Education organized by the Sustainable Development Solutions Network USA. Over 400 members from higher education institutions, non-governmental organizations, think tanks, students, and teachers, joined the online event held February 23-25. The Summit created a bridge between social justice issues with an historical lens and sustainable development. Learning insights include those shared by session speakers, dialogue among participants during thematic conversations and regional networking forums, comments made by attendees on session Jamboards and the Zoom Chat function, and post-Summit feedback. A high-level thematic review was undertaken to cluster …

Race: An Efficient Redundancy-Aware Accelerator For Dynamic Graph Neural Network, Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue

Michigan Tech Publications

Dynamic Graph Neural Network (DGNN) has recently attracted a significant amount of research attention from various domains, because most real-world graphs are inherently dynamic. Despite many research efforts, for DGNN, existing hardware/software solutions still suffer significantly from redundant computation and memory access overhead, because they need to irregularly access and recompute all graph data of each graph snapshot. To address these issues, we propose an efficient redundancy-aware accelerator, RACE, which enables energy-efficient execution of DGNN models. Specifically, we propose a redundancy-aware incremental execution approach into the accelerator design for DGNN to instantly achieve the output features of the latest graph …

E-Cigarette Use And Respiratory Symptoms In Adults: A Systematic Review And Meta-Analysis, Mohammed M. Alqahtani, Faraj K. Alenezi, Mohammed A. Almeshari, Abdullah M. Alanazi, Ziyad Ben Taleb, Mohammad E Ebrahimi Kalan, Mary P. Martinasek, Rheese J. Mcnab, Rachel Culbreth, Mansour Alotaibi, Hassan Alijohani, Lynda T. Goodfellow, Taha T. Ismaeil, Saleh S. Algarni, Tareq F. Alotaibi, Mobarek K. Alqahtani, Hamoud Al-Ajel, Khalid S. Alwadeai, Nafea S. Almutairi, Eric Ford

APC Fund

Introduction:
Electronic cigarette (e-cigarette) use is gaining popularity among adults. Monitoring e-cigarette-induced respiratory symptoms is crucial for both clinical and regulatory purposes. We systematically reviewed the current literature to understand the prevalence of respiratory symptoms among exclusive e-cigarette users, dual users, and former smokers.

Methods:
Databases searched included PubMed, CINAHL, Cochrane Library, Embase, and Scopus. We included all English-language, empirical quantitative articles that explored the prevalence of e-cigarette-related respiratory symptoms. Random-effects models were utilized in conducting the meta-analyses. The quality of identified studies was evaluated using the NIH Study Quality Assessment Tools. This study is registered with PROSPERO(#CRD42020165973).

Results:
The …

Multilayer Perceptron Modeling For Social Dysfunction Prediction Based On General Health Factors In An Iranian Women Sample, Sajjad Bagheri, Sarvenaz Taridashti, Hojjatollah Farahani, Peter Watson, Elham Rezvani

Department of Psychology Faculty Scholarship and Creative Works

In the year 2022, this research conducted an in-person study involving 780 single or widowed women, aged between 20 and 70, falling within the bottom three economic deciles and possessing varying levels of education. All participants held educational qualifications below a high school diploma and were beneficiaries of charitable financial support in Khorasan province, Iran. The study aimed to investigate the predictive factors of social dysfunction in this specific demographic. Data collection spanned a 12-month period throughout 2022, with participants completing the GHQ-28 questionnaire during their visits to the charity office. Clinical in-person interviews were also conducted to gather comprehensive …

Vapor-Phase Synthesis Of Electrocatalytic Covalent Organic Frameworks, Syed Ibrahim Gnani Peer Mohamed, Shahriar Namvar, Tan Zhang, Hessam Shahbazi, Zhen Jiang, Andrew M. Rappe, Amin Salehi-Khojin, Siamak Nejati

Department of Chemical and Biomolecular Engineering: Faculty Publications

The inability to process many covalent organic frameworks (COFs) as thin films plagues their widespread utilization. Herein, a vapor-phase pathway for the bottom-up synthesis of a class of porphyrin-based COFs is presented. This approach allows integrating electrocatalysts made of metal-ion-containing COFs into the electrodes’ architectures in a single-step synthesis and deposition. By precisely controlling the metal sites at the atomic level, remarkable electrocatalytic performance is achieved, resulting in unprecedentedly high mass activity values. How the choice of metal atoms, i.e., cobalt and copper, can determine the catalytic activities of POR-COFs is demonstrated. The theoretical data proves that the Cu site …

Exploring The Coverage Of Cyberchondria Addiction In Newspapers: A Perspective From The Usa, Rifat Afrin, Mumtahina Obaid, Gayle Prybutok, Ahasan Harun, Victor R. Prybutok

Information Systems Faculty Publications

Objectives: The purpose of this study is to investigate how US newspapers reported cyberchondria from 2009 to 2021. Cyberchondria shares similarities with addiction, making it imperative to delve into its representation in media. Cyberchondria refers to an issue of excessive and repetitive internet searches for health information often accompanied by obsessive-compulsive behavior. The goal of this research is locate the frames that appear in cyberchondria coverage, look at how the frames have changed over the given time span, and assess the emotions that the news frames portray.

Method: After collecting the relevant news items, the study applies correspondence analysis, sentiment …

Deep-Learning Based Multiple-Model Bayesian Architecture For Spacecraft Fault Estimation, Rocio Jado Puente

Doctoral Dissertations and Master's Theses

This thesis presents recent findings regarding the performance of an intelligent architecture designed for spacecraft fault estimation. The approach incorporates a collection of systematically organized autoencoders within a Bayesian framework, enabling early detection and classification of various spacecraft faults such as reaction-wheel damage, sensor faults, and power system degradation.

To assess the effectiveness of this architecture, a range of performance metrics is employed. Through extensive numerical simulations and in-lab experimental testing utilizing a dedicated spacecraft testbed, the capabilities and accuracy of the proposed intelligent architecture are analyzed. These evaluations provide valuable insights into the architecture's ability to detect and classify …

Fintech And Entrepreneurship: An Assessment Model To Evaluate Policy Instruments For Fintech Adoption By Small And Medium Enterprises (Smes), Deemah Abdullah Alassaf

Dissertations and Theses

Small and medium enterprises (SMEs) are the engines that drive economic development. They are the backbone of the middle class as they provide social stability, innovation, inclusive growth, and poverty alleviation. SMEs contribute significantly to job creation, employment, tax provision and the Gross Domestic Product (GDP). However, they face inferior conditions and challenges when it comes to their financing compared to that of large enterprises, as well as having a high expectancy of failing. Because of these limitations, SMEs tend to grow slowly since building up higher credit is difficult for them, and in addition to this, they lack access …

A Pairing-Free Provable Secure And Efficient Identity-Based Identification Scheme With Anonymity, J. J. Chin, R. Kannan, V. T. Goh, S. C. Yip

School of Engineering, Computing and Mathematics

In this paper, we propose a Blind Identity-Based Identification (Blind IBI) scheme based on the Guillou-Quisquater (GQ) scheme. Our proposed scheme combines the benefits of traditional Identity-Based Identification (IBI) schemes that can authenticate a user’s identity without rely ing on a trusted third party with the Blind Signature (BS) scheme that provides anonymity. As a result, the proposed scheme assures absolute user privacy during the authentication process. It does not rely on a third party, yet the verifier can still be assured of the user’s identity with out the user actually revealing it. In our work, we show that the …

Improved Image Recognition Via Synthetic Plants Using 3d Modelling With Stochastic Variations, Chris C. Napier, David M. Cook, Leisa Armstrong, Dean Diepeveen

Research outputs 2022 to 2026

This research extends previous plant modelling using L-systems by means of a novel arrangement comprising synthetic plants and a refined global wheat dataset in combination with a synthetic inference application. The study demonstrates an application with direct recognition of real plant stereotypes, and augmentation via a plant-wide stochastic growth variation structure. The study showed that the automatic annotation and counting of wheat heads using the Global Wheat dataset images provides a time and cost saving over traditional manual approaches and neural networks. This study introduces a novel synthetic inference application using a plant-wide stochastic variation system, resulting in improved structural …

Effect Of Different Levels Of Postbiotic And Phytobiotic Combination On Growth Performance, Economic Production, And Immune Response Of Broiler Chickens, Jamil Mobarak Mahmoud Doski, Karwan Yaseen Kareem

Polytechnic Journal

A total of two hundred and eighty eight day old unsexed chicks from a Ross 308 cross were randomly assigned to eight treatment and four replicates and each replicator had twelve birds. The experimental groups includes, N-control= negative control (basal diet), P-control = basal diet + 0.01% Doxin200 (positive control) (w/w), 0.1% Pos+Phy = basal diet + 0.05% thyme oil (v/w) + 0.05% postbiotic, 0.2% Pos+Phy = basal diet + 0.1% thyme oil (v/w) + 0.1% postbiotic, 0.3% Pos+Phy = basal diet + basal diet + 0.15% thyme oil (v/w) + 0.15% postbiotic, and 0.4% Pos+Phy = basal diet + …

Utilization Of Semiconductor Nanocrystals In Cancer Diagnose And Treatment, Yasir Q. Almajidi, Ahmed A. Albadri, Mazen M. Jwaid, Yaseen T. Khalaf

Maaen Journal for Medical Sciences

In contemporary times, nanotechnology has emerged as a notably sophisticated technological discipline. It possesses an interdisciplinary and multidisciplinary nature, spanning a wide array of domains including medical science, engineering, biology, physics, materials science, and chemistry. Utilization of nanotechnology offers a significant advantage by enabling precise manipulation and control of properties to effectively address specific challenges in various applications. In the fields of science and biomedicine, there has been extensive exploration into the use of functional nanomaterials, emerging as rapidly advancing and captivating areas of research. Diverse types of nanomaterials, including silicon nanowires, quantum dots, carbon nanotubes, and gold/silver nanoparticles, which …

Hosting An International Graduate Student Orientation, Liza Weisbrod, Juliet T. Rumble, Adelia Grabowsky, Isabel Altamirano, Emily Sahib

Journal of Graduate Librarianship

In Fall 2022, Auburn University Libraries faculty and staff hosted an orientation event for newly arrived international graduate students. Highlights of the event included tours of major library service points, a shared meal, and a meet and greet for graduate students and subject librarians. A key takeaway for both groups was an increased awareness of the differences that exist between U.S. academic libraries and those in other countries. The authors discuss elements of the library orientation that worked well, and address lessons learned that will be used to improve future events.

Serving Graduate Students At A Community College Library, Daniel K. Blewett

Journal of Graduate Librarianship

Even though a community college library rarely attempts to offer the same depth of support found at a university, it can still serve the needs of local graduate students in two ways: through the library’s core collection of print and electronic resources, and through its on-site services, spaces, and librarian expertise. Graduate students need to know that these resources are available to them. The knowledge and ability of the librarian is key to supporting this patron group. This article is informed by the author’s experiences at the College of DuPage, a large comprehensive community college in northeastern Illinois.

Leveraging Existing Services To Support Evidence Synthesis Researchers Outside Of The Health Sciences, Elizabeth Kline

Journal of Graduate Librarianship

The author presents a case study for the development of an evidence synthesis service serving researchers outside of the health sciences at a large academic library. The purpose of this project was to highlight the importance of integrating existing core services and workflows that create seamless delivery of evidence synthesis support and yield quality service. The paper provides decisions that university libraries must consider as they are planning the implementation of these services.

The research-intensive nature of evidence synthesis projects provides liaison librarians with a perfect entry to deliver high-quality and relevant services, especially to graduate students and researchers. Through …

Stem's Missing Women: Why Biology's Undergraduate Pipeline Is Diverging From Career Paths, Rosemary Roberto

Graduate Student and Postdoctoral Fellow Symposium

No abstract provided.

Comparison Of Post Discharge Telephone Call Methods And Their Impact On Patient Outcomes And Satisfaction: An Integrative Review, Amanda T. Mikolay

Wisdom & Compassion: The LUSON Journal

Background: Discharge planning and education may directly influence patient outcomes, including patient satisfaction and readmission rates. Discharge processes and follow-up vary across departments and facilities. Follow-up telephone calls after patient discharge are commonly utilized; however, delivery techniques differ across healthcare areas. The purpose of this integrative review is to explore the various techniques of initiating post-discharge follow-up phone calls and their impact on patient outcomes and satisfaction. Method: A literature search across different Databases and the search engine Google Scholar yielded over 2,751 articles utilizing the Boolean phrases: (follow up or follow-up or post-discharge or following discharge or discharge …

Magnetic Field’S Effect On Two-Phase Flow Of Jeffrey And Non-Jeffrey Fluid With Partial Slip And Heat Transfer In An Inclined Medium, Sunday Lot, Waheed Oluwafemi Lawal, Adedapo Chris Loyinmi

Al-Bahir

In this paper, the effect of magnetic field on two –phase flow of Jeffrey and non-Jeffrey fluids in an inclined medium is investigated. The flow in both medium is assumed to be set in motion by constant pressure gradient. The electrical conductivity in the non-Jeffrey fluid in phase I is considered to be zero, so that the constant magnetic field strength Bo in the transverse direction only affects the Jeffrey fluid in phase II. The equations governed the flow of the fluid were solved using perturbation method. The effect of magnetic field, Jeffrey and thermal slip parameters on the temperature …

Movie Recommendation System Using Content Based Filtering, Sribhashyam Rakesh

Al-Bahir

The movie recommendation system plays a crucial role in assisting movie enthusiasts in finding movies that match their interests, saving them from the overwhelming task of sifting through countless options. In this paper, we present a content-grounded movie recommendation system that leverages an attribute-based approach to offer personalized movie suggestions to users. The proposed method focuses on attributes such as cast, keywords, crew, and genres of movies to predict users' preferences accurately. Through extensive evaluation, our content-grounded recommendation system demonstrated significant improvements in performance compared to conventional methods. The precision and recall scores increased by an average of 20% and …

Reducing Scour Hole Dimensions Around Bridge Circular Piers Using Hexagonal Collars, Heba Kassem, El-Masry A. A, Reda Diab

Mansoura Engineering Journal

Bridge failure, due to local scour at bridge circular pier foundations, has become a critical issue in river and bridge engineering, which might lead to transportation disruption, loss of lives and economic problems. Based on an experimental perspective, this study is focused on the influence of collar’s shape on decreasing scour depth at bridge piers that were explored. Hexagonal collars with three shapes were investigated (sloped, sloped with holes, and sloped with ribs). The collars were installed on the bed level with diameter equals to three times the diameter of pier. To achieve the results, experiments were performed in clear-water …

African American Students’ Academic And Web Programming Self-Efficacy, Learning Performance, And Perceptions Towards Computer Programming In Web Design Courses, Yu-Tung Kuo, Yu-Chun Kuo

College of Education Departmental Research

Computer programming has been included in computer literacy education in many countries in the last decade. This study examined the effects of gender and the prior programming experience of computer programming on academic and web programming self-efficacy and learning performance in the web design course among African American students, as well as their perceptions towards computer programming. This study’s 14-week web design course taught African American students multiple web programming languages, including HTML, CSS, and JavaScript, in order. A one-group pretest–posttest design was adopted in the experiment. The quantitative method was primarily used in data analysis. This study revealed that …