Digital Commons Network^™

A Systematic Review Of Brief Cognitive Test Used Among The Veteran Population, Joel Mcpherson

Walden Dissertations and Doctoral Studies

The practice problem this DNP project addressed was the lack of a of consensus for a brief cognitive screening (BCS) tool that can be most predictive of mild cognitive disorder (MCI) and dementia in a Veteran Affairs (VA) outpatient clinic. Addressing this gap in practice is important because the veteran population may be at increased risk of MCI and dementia due to age, a history of traumatic brain injury, and posttraumatic stress disorder. This DNP project was a systematic review of the literature. A population, exposure, outcome (PEO) framework and the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) theory guided …

Forecasting Turkish Lira Via Combination Of Ann And Econometrics Approaches -An Emerging Market Case Study, Muhammad Asadullah, Nayab Jumani

Business Review

This study aims to forecast the Turkish Lira to US Dollar exchange rate from January 2011 to December 2024, withholding the 2024 data for forecasting. The study utilizes four econometric models (ARIMA, Naïve, exponential smoothing, and NARDL) along with one Artificial Neural Network model (ANN). It heeds the recommendation of Poon and Granger (2003) to combine these models and assess their predictive accuracy using two methods: equal-weights and variance-covariance. The study finds that the combined model outperforms individual models in predicting the exchange rate. The fusion of ANN and NARDL emerges as particularly effective in forecasting the Turkish Lira's performance. …

Closing In On The Patent Troll: State Legislatures’ Role In Combatting Trolling Behavior, Will Roberts

Minnesota Law Review Vols. 106:2 onward (2021-present)

In the United States, entities known as patent trolls purchase patents solely for the purpose of threatening and bringing litigation and present a significant threat to innovation and economic progress. The question is: Who will rise to the occasion and stop them? In the face of federal inaction, state legislatures have stepped in, enacting laws to combat bad faith assertions of patent infringement. This note_comment examines the efficacy and constitutionality of state anti-patent troll statutes, analyzing how they operate within the broader framework of federal patent law. State legislatures have taken various approaches to address patent trolling. Some statutes have …

Cone Beam Ct Dose Optimisation: A Review And Expert Consensus By The 2022 Estro Physics Workshop Igrt Working Group, Lydia J. Wilson, Andria Hadjipanteli, Daniella E. Østergaard, Evelien Bogaert, Kirstie F. Brown, Rianne Dejong, James Earley, Magali Edouard, Marina Khan, Josh Lindsay, Jessica Van Der Himst, George X. Ding, Tim Wood, Marianne C. Aznar, Nuria Jornet, Georgios Ntentas

Department of Radiation Oncology Faculty Papers

Image guided radiotherapy (IGRT) using kilovoltage cone-beam CT (CBCT) has become an indispensable tool to ensure the geometric accuracy of radiotherapy treatment delivery. Although significant technical advances have been made in reducing imaging dose, the repeated imaging procedures can still accumulate significant dose to healthy tissues. Despite the widespread use, we still lack clear guidance for optimisation and widely accepted frameworks for evaluating the quality and suitability of CBCT imaging protocols. To address this gap, the 2022 European Society for Radiotherapy and Oncology (ESTRO) Physics Workshop focused on image-quality and imaging-dose optimisation for IGRT using CBCT. This publication represents a …

Creative Readers: Arts Programming For Special Needs Inclusion At The Public Library, Elise May

Journal of the Arts and Special Education

Creative Readers, an arts & literacy inclusion program and winner of the 2017 National Arts and Humanities Youth Program Award, turns books into a multi-sensory experience for K- 6^th grade students offering all learners the ability to be challenged, motivated and successful. Using theater, art, movement and music each lesson enables participants to bring a book to life, increasing their love of literature while exploring their strength of expression through the arts. The program also offers a space for unique learners of all abilities, to socialize and work together creatively. High school volunteers are paired with participants to model …

The Next Four Years: Geographical Reflections On The Second Trump Administration, Caroline R. Nagel, Peter Hopkins

Faculty Publications

In this introductory essay, we reflect on the significance of the re-election of Donald Trump to the presidency in the United States, and we provide some context for interpreting Trump's second term. Two of Trump's early policy moves—the release of billions of gallons of water from reservoirs in California and the granting of refugee status to Afrikaners—portend four years of politics based on alternative facts, conspiracy theories, and racial grievances. Trump's political agenda has received a significant boost from Silicon Valley billionaires, who are keen to eliminate regulatory bureaucracy. Paradoxically, while allied with high-tech futurists, Trump's policies hearken to an …

Mat 301 - Applied Statistics And Data Analysis, Eric Aragundi

Open Educational Resources

Data analysis using standard statistical methods and relevant computer software. Emphasis on real-world data, interpretation, and misinterpretation of computer output.

This syllabus contains open source notebook about data analysis content.

Distinct Brain Age Gradients Across The Adult Lifespan Reflect Diverse Neurobiological Hierarchies, Nicholas Riccardi, Alex Teghipco, Sarah Newman-Norlund B.S., M.A., Roger Newman-Norlund Ph.D., Ida Rangus, Chris Rorden, Julius Fridriksson Ph.D., Leonardo Bonilha

Faculty Publications

‘Brain age’ is a biological clock typically used to describe brain health with one number, but its relationship with established gradients of cortical organization remains unclear. We address this gap by leveraging a data-driven, region-specific brain age approach in 335 neurologically intact adults, using a convolutional neural network (volBrain) to estimate regional brain ages directly from structural MRI without a predefined set of morphometric properties. Six distinct gradients of brain aging are replicated in two independent cohorts. Spatial patterns of accelerated brain aging in older adults quantitatively align with the archetypal sensorimotor-to-association axis of cortical organization. Other brain aging gradients …

Chromatic Quasisymmetric Functions Of The Path Graph, Farid Aliniaeifard, Shamil Asgarli, Maria Esipova, Ethan Shelburne, Stephanie Van Willigenburg, Tamsen Whitehead Mcginley

Mathematics and Computer Science

We show that the chromatic quasisymmetric function (CQF) of a labeled path graph on n vertices is not symmetric unless the labeling is the natural labeling  or its reverse. We also show that the star graph  with  has a nonsymmetric CQF for all labelings.

Volume 123, Number 2 - Sunday, May 25th, 2025, Saint Mary's College Of California

The Collegian

No abstract provided.

Course Portfolio: Csce 478/878 Introduction To Machine Learning, Hongzhi Guo

UNL Faculty Course Portfolios

This course portfolio was developed for CSCE 478/878: Introduction to Machine Learning, offered by the School of Computing at the University of Nebraska–Lincoln, as part of the Faculty-led Inquiry into Reflective and Scholarly Teaching (FIRST) project. The course provides an introduction to foundational machine learning concepts, models, and programming tools. It enrolls both undergraduate and graduate students from a wide range of academic backgrounds, including computer science, computer engineering, software engineering, biological systems engineering, chemical engineering, business-related fields, etc. Offered in Spring 2025, the course was peer-reviewed to support continuous improvement in teaching. The primary goals of this portfolio are …

Classification-Based Point Cloud Denoising And 3d Reconstruction Of Roadways, Chen Denghong, Pang Ning, Nie Wen, Feng Juqiang, Kan Jiliang, Zhang Jinjing

Coal Geology & Exploration

Objective The point cloud denoising and 3D reconstruction of roadways serve as a key step in the digital modeling and analysis of roadways. However, the conventional algorithm based on single filtering fails to effectively remove the noise at varying scales from point clouds. Meanwhile, the existing 3D reconstruction algorithms suffer from low modeling accuracy and high susceptibility to distortion. These necessitate developing methods and technologies to obtain high-quality point cloud data and construct high-accuracy 3D models for roadways. Methods This study proposed an adaptive classification-based point cloud denoising algorithm using neighborhood radius (R), minimum neighborhood point number ( …

A Method For Efficient Virtual-Physical Synchronization Of The Digital Twin System Of An Excavation-Supporting Robot Cluster Targeting Coal Pillars Between Mining Faces, Mao Qinghua, Sima Junlei, Ma Hongwei, Wang Chuanwei, Chen Yanzhang, Guo Wenjin, Cui Wenda, Cheng Jiashuai

Coal Geology & Exploration

Objective Virtual models for excavation-supporting robot clusters targeting coal pillars between mining faces encounter challenges like a large data size and anomalies in data transmission, which lead to poor virtual-physical synchronization. This study proposed a method for efficient virtual-physical synchronization of the digital twin (DT) system of an excavation-supporting robot cluster using 3D model lightweighting and a trajectory prediction and correction model. Methods Fit-controlling vertices were defined, and their collapse cost factor was introduced to improve the quadratic error metric (QEM) algorithm and to constrain the lightweighting process of the 3D model of an assembly while maintaining fits between components. …

Prevention Of And Response To International Crimes Against And Affecting Children, Diane Marie Amann

Scholarly Works

This submission endeavoured to aid the efforts of Parliament’s Standing Group on Atrocity Crimes to promote within the United Kingdom a comprehensive framework regarding international crimes. The submission stressed that prevention is the preferred course: ex ante prevention avoids present harms, inter-generational traumas, and future risks of retaliatory violence, while ex post responses, in the form of criminal proceedings, are likely to be random and selective, not comprehensive. It urged that when harm does occur, responses must aim not only to exact retribution, but also to repair injuries, heal societies, and foster peaceful settlements of disputes. To these ends, the …

Examining The Efficacy Of Dynamic Written Corrective Feedback (Dwcf) On Stabilized Grammatical Errors Among Adult Esl Learners In Writing, Mandana Abedini

Doctoral Dissertations

This study employed a quasi-experimental design to investigate the effectiveness of Dynamic Written Corrective Feedback (DWCF) in correcting stabilized grammatical errors among adult ESL learners. It examines the efficacy of Dynamic Written Corrective Feedback (DWCF) in addressing stabilized grammatical errors in adult ESL learners at the intermediate level of a writing course, focusing on a case study at a community college in the Bay Area, California. The research explores learners' perspectives on DWCF, examining its effectiveness in addressing stabilized grammatical errors and assessing the challenges and benefits of incorporating DWCF into English as a Second Language (ESL) instruction. The theoretical …

Route 404, Sarina C. Hamilton

B.F.A. Practicum Exhibition (ART 498)

Through graphic design and printmaking, I create work that unifies and connects people through shared experiences. I have developed a fascination with the universal experience of death and how it connects us all. While each of us experiences it differently, we all share in it-eventually, we all die. This realization has inspired me to express this commonality in my work.

I wanted to challenge myself to create something more than just a brand or product; I aimed to convey a complex and layered idea-something greater than myself. I often reflect on the trivial aspects of my daily life, which leads …

Does Choice Of Media Amplify Support For Political Violence?, Nathan Palomares

Political Science Student Papers and Posters

Acts of political violence have increased in frequency and exposure to American society via news media. Violent rhetoric is a common theme among many forms of media Americans consume, including social media, which has become an essential platform where Americans increasingly get political news information. The events of the January 6 Capitol Riots and the attempted assassination of President Donald Trump in late 2024 show how urgent the rise of political violence is and its destabilization of American Democracy. In this paper, I examine the relationship between the types of news media people consume and their potential to increase people’s …

Coos County Advisory Council Meeting Minutes, William Hastings, Heidi Barker

Advisory Council

No abstract provided.

Ecg-Based Biometric Key Generation Using Principal Component Analysis And Machine Learning, Ahmad Abadleh

Iraqi Journal for Computer Science and Mathematics

Biometric authentication techniques are fast becoming imperative methods for secure identifications in a wide range of applications, while most of the traditional systems are easily spoofed or forged. In this paper a new approach of deriving a unique biometric key from an electrocardiogram signal is presented owing to physiological uniqueness of heart activity. In this respect, by focusing on RR intervals extracted from ECG signals, the PCA is applied in order to reduce its dimensionality and then form a compact and distinctive biometric key. Thereafter, a Random Forest classifier was used in evaluating the effectiveness of features, where a high …

Retracted: Accurate Electrocardiogram Classification Of Heart Disease Using Deep Learning Network, Hadeel M. Saleh, Sahar Hamad Ahmed, Akeel Sh. Mahmoud

Iraqi Journal for Computer Science and Mathematics

Long short-term memory networks can effectively process complex temporal patterns in electrocardiogram data. These sequential models excel at classifying heart disease from the rich signals captured by electrocardiograms. However, traditional algorithms struggle with the intricate waveforms encoded in each heartbeat. Deeper architectures such as LSTM are better equipped to untangle the subtle variations between healthy sinus rhythms and lethal arrhythmias. In this study, an LSTM model was developed to diagnose disease from the PTB dataset. The network was trained using a fusion of deep learning schemes for sequential data. The model underwent several evaluations, from a confusion matrix mapping predictions …

Retracted: Intrusion Detection System For Iot Based On Modified Random Forest Algorithm, Omar Z. Akif, Sura Mazin Ali, Ann F. Sabih, Ahmed T. Sadiq, S. K. Subramaniam

Iraqi Journal for Computer Science and Mathematics

An intrusion detection system (IDS) is key to having a comprehensive cybersecurity solution against any attack, and artificial intelligence techniques have been combined with all the features of the IoT to improve security. In response to this, in this research, an IDS technique driven by a modified random forest algorithm has been formulated to improve the system for IoT. To this end, the target is made as one-hot encoding, bootstrapping with less redundancy, adding a hybrid features selection method into the random forest algorithm, and modifying the ranking stage in the random forest algorithm. Furthermore, three datasets have been used …

Retracted: Cipher Text To Secure Li-Fi System Using Hybrid Encryption Algorithm, Mohammed M. Ahmed, Satea H. Alnajjar

Iraqi Journal for Computer Science and Mathematics

It is important to pay attention to develop our security systems, due to the increase in cyberattacks and the development of their methods and the work to develop quantum computers capable of penetrating the solution of complex equations of encryption algorithms. The need to develop protection methods has emerged in line with the development of hackers to ensure the security and safety of users' data. In this research, work was done on the modern Li-Fi technology based on comparing the values with Kim's model and a distance of more than 13 km was reached in the fresh air. This technology …

“Honey, Life Is Just A Classroom:” Using Taylor Swift As A Pedagogical Tool For College Composition, Liz Thomae

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

As educators, we confront the challenge of cultivating a deeper understanding of writing in an age obsessed with utilitarianism, instant gratification, and pragmatism. Students come into our classrooms inundated with these messages of utility and often find subjects within the humanities, especially first year writing, boring and unhelpful. Especially with the rise of generative artificial intelligence (AI) use in our classrooms and society at large, we as pedagogues have our work cut out for us. I propose a pedagogical approach that bridges students' interests with essential writing skills by integrating Taylor Swift's music into the composition classroom. Swift's evolution as …

The Relationships Among Orthorexia Nervosa, Perfectionist Tendencies And Academic Achievement In Nutrition And Dietetics Students, Sophia Grace Owens

Master's Theses

Eating disorders can cause a disturbance in how the health of food is viewed (Cerniglia et al., 2017). If a person has disturbances in their eating behaviors that can cause harm to their health, but the behaviors do not fit into the criteria of a specific eating disorder, they fall into the category of a disordered eating pattern (Academy of Nutrition and Dietetics, 2018). Because of the stress the college environment can cause students, some college students may cling to anything they can control, which may be reflected in their dietary habits. Orthorexia Nervosa (ON), a disordered eating pattern, is …

Detection And Mitigation Of Out-Of-Band Channel Wormhole Attack In Wireless Network Using Propagation Delay, Harry May

Doctoral Dissertations

Wireless networks, susceptible to a range of attacks due to their simplicity and ease of evasion, face a significant threat from control data attacks, notably the elusive wormhole attack. Detecting and mitigating such attacks poses challenges, particularly in the absence of a digital signature. This dissertation introduces an innovative approach that utilizes the propagation delay associated with malicious nodes’ timing characteristics for detection, employing the Ad-hoc On-Demand Distance Vector (AODV) algorithm as its foundation. The inherent propagation delay in the AODV protocol is calculated for each node link along the entire communication path, offering a distinctive timing method that provides …

Dsa-Api: Data Standardization Automation Using Ai-Powered Apis, Andrew Asher Turner

Master's Theses

The common factor with current implementations of Artificial Intelligence (AI) is data. Companies are constantly looking for new ways to analyze data, but it comes in various formats: Text, Comma Separated Value (CVE), JavaScript Object Notation (JSON), Extensible Markup Language (XML), and Excel. How can AI be adapted to standardize formats for data analysis, integration, and digestion efficiently? Published research acknowledged that Machine Learning (ML) and AI can provide an automated method to speed up this process and limit the human decision-making error. With the advancement in AI, Application Programming Interfaces (APIs) prompt the idea that they can take in …

Electronic Medical Record Clinical Decision Support Across The Ob Continuum Of Care: Enhancing Doula Education And Usage, Jonese D. Randall

Doctor of Nursing Practice Final Manuscripts

Background: The United States is seeing an uptick in maternal deaths by 159% since 2019, with maternal mortality higher with cesarean procedures (Hoyert, 2020; Riches et al., 2024[LC1] ). UC San Diego Health NTSV C-Section rates between September 2024 – October 2024 ranged between 22-54%, well above the benchmark of 23.4% in California (Slone, n.d.). Doulas are trained to care for the mother before, during, and after birth by being an advocate, providing physical and emotional support, and being a continuous support person (Dekker, 2017). Doulas have been shown to improve birthing outcomes by providing these support mechanisms, particularly …

The Role Of A Lower Elementary Principal In Championing Co-Teaching As A Strategy To Promote Inclusive Education, Lauren Pigue Keen

Doctoral Dissertations

This qualitative autoethnographic study explores the role of a lower elementary principal in leading a co-teaching initiative to create a more inclusive educational environment for students with disabilities. Rooted in Lewin’s Change Theory, the study examines how personal experience, professional vision, and intentional leadership contributed to the implementation and expansion of co-teaching practices within an early childhood setting. The research focuses on the principal’s dual role as both a systems-level change agent and an insider experiencing the transformation firsthand. Data were collected through reflective narrative, stakeholder interviews, and document analysis to provide a comprehensive view of the leadership decisions, cultural …

Who Should Take Responsibility For Artificial Intelligence Actions And Outcomes? Perception Of Auditors As Users Of Ai Systems, Hanh Hoang Le

Doctoral Dissertations

As artificial intelligence (AI) systems become increasingly embedded in auditing processes, questions arise regarding how professional auditors perceive and allocate responsibility for AI-assisted decisions. This study investigates the effects of AI explainability and auditors’ perceived autonomy on perceived responsibility in the context of audit decision-making. Drawing on theories of moral responsibility and professional judgment, the study employs a 2x2 experimental design using hypothetical audit scenarios to manipulate levels of AI explainability and auditors’ autonomy. Hierarchical regression analysis reveals that perceived autonomy statistically significantly increases auditors’ perception of responsibility for AI-assisted decisionmaking, whereas AI explainability is not a significant predictor. Additionally, …

Competencies For Effective Stem Leadership: Essential Knowledge, Skills, Dispositions, And Practices To Inform Stem Education Programs And Support Program Leadership, Melissa Adams Wooley

Doctoral Dissertations

The purpose of this study was to identify a set of knowledge, skills, dispositions, and practices that are important for STEM leaders to consider as constructs of a STEM theory as they plan and implement a STEM program. The research design included a modified Delphi panel to gain consensus on the knowledge, skills, dispositions, and practices, called competencies, that effective STEM leaders consider when planning and implementing a STEM program. The panel participants were experts in STEM education. Based on the literature, the researcher identified the initial set of competencies. The panel identified ten additional competencies through the Delphi process, …