Digital Commons Network^™

Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On the other hand, unpaired harmonization typically does not guarantee anatomy consistency, which is problematic because anatomical information preservation is paramount. The Schrödinger bridge framework has achieved state-of-the-art style transfer performance with natural images by matching distributions of unpaired images, but this approach can also introduce anatomy changes when applied to medical images. We show that such changes occur because the …

Personalized Persuasion In The Digital Age: A Data-Driven Approach To Effective Communication, Annye Braca

Doctoral

This thesis investigates the potential of Machine Learning (ML) to personalize persuasive marketing messages. It explores the identification of individuals receptive to specific persuasion techniques based on their psychometric profiles. By developing ML models that incorporate these profiles, the thesis aims to predict the impact of tailored messages and improve the effectiveness of marketing communication.

Development Of Holographic Optical Elements For Application In Wound Healing Monitoring, Pamela Stoeva

Doctoral

Growing global healthcare challenges, including the increasing prevalence of chronic wounds, necessitate the development of cost-effective, reusable, and readily accessible sensors for real-time wound monitoring. Such devices could extend basic healthcare to remote areas and support long-term space missions by facilitating on-the-spot wound assessment. Sensors that utilise Holographic Optical Elements (HOEs) are promising candidates due to their diverse sensing capabilities, advantageous physical properties (e.g., lightweight and flexibility), and suitability for mass manufacturing. The fundamental biochemical processes associated with wound healing are typically related to parameters such as oxygen levels, pH, temperature, and lactate concentration. Realtime quantification of these parameters enables …

Highly Sensitive Diffractive Optical Structures For Detection Of Volatile Organic Compounds, Faolan Radford Mcgovern

Doctoral

From aerospace to agriculture, sensors play a fundamental role in many aspects of modern life. Sensors form an integral part of the complex systems and devices required for the continued functioning and development of services and industries across society. The use of sensors is paramount in areas affecting human health, one such area being the monitoring of indoor air quality, in particular the detection of volatile organic compounds (VOCs). Human contact with VOCs has been associated with many health complications, including skin and eye irritation, cardiovascular damage, and cancers. Optical, electrical, gravimetric, and chemical sensors have been developed for VOC …

Plasmonic Down-Shifting Layers For Cylindrical Solar Concentrators, Kenneth Coldrick

Doctoral

The efficiency of photovoltaics (PVs) and photo-thermal (PT) systems is hindered by spectral mismatches and low thermal conductivity. A promising solution to address these issues can be the use of luminescent down-shifting (LDS) layers. This involves the incorporation of luminophores into solid or liquid layers that will act as spectral beam splitters (SBSs). In solid polymers, they form luminescent solar concentrators (LSCs), while in liquids, they act as working fluids and SBS for hybrid photovoltaic-photothermal (PVT) systems. This thesis will examine the energy conversion in both solid and liquid configurations through experimental, simulation, and economic analyses. An open-source model that …

Celebrating 25 Years Of Collaboration: A Bibliography Of Afit-Afrl’S Top 50 Most-Cited Works, Wheeler Hall, Michelle Burwinkel

AFIT Library Knowledge Base

This bibliography compiles the 50 most-cited collaborative publications between the Air Force Institute of Technology (AFIT) and the Air Force Research Laboratory (AFRL) from 2000 to early 2025, showcasing their interdisciplinary impact across advanced science and engineering. Spanning materials science, remote sensing, terahertz spectroscopy, nanomaterials, aerospace, fatigue mechanics, biomedical applications, communication systems, optics, machine learning, and hypersonic engineering, the works highlight innovative methodologies and transformative applications. This collection underscores AFIT-AFRL’s contributions to cutting-edge research, offering valuable insights for researchers, engineers, and stakeholders in defense and technology development.

How To Teach A Course On Land Use And Anti-Jewish Discrimination, Michael Lewyn

Scholarly Works

In 2022, I was asked to teach a one-week mini-course within a broader course on "Structural Barriers and the Pursuit of Equity," a course focusing on various forms of structural discrimination. The course is typically taught by over a dozen professors from various parts of Touro University, each of whom teaches for a week on a different topic. I chose to teach on issues related to land use law (because my scholarship focuses on that area) and in particular how land use law has been used by and against traditionally observant Jews (because that is the religious tradition I am …

Climate Nationalism, Gabriel Weil

Scholarly Works

Climate change is a global commons problem. The costs of emissions in any given country are mostly borne by foreigners. Absent strong measures to overcome this dynamic, pursuit of national self-interest will lead people and countries to underinvest in decarbonization, relative to what's best for the world as a whole. And we do see such underinvestment. Many countries are not on track to meet their Paris Agreement pledges, and those pledges, even if met, are not ambitious enough to meet the headline temperature stabilization goals of the agreement. This is the fairly banal pursuit of national interest in the climate …

The “Arm” That Saves You Might Also Strangle You: The Impact Of Sovereign Immunity On Economic Arms Of Tribes And How It Could Affect Others’ Willingness To Contract With Them, Josh Pumphrey

American Indian Law Review

No abstract provided.

A Patent System For Temple Grandin, Andrew Chin

Faculty Publications

This article explores the intersection of neurodiversity and innovation through the lens of Temple Grandin’s contributions to livestock handling systems and her philosophical alignment with the U.S. patent system. Drawing on cognitive research by Simon Baron-Cohen, archaeological insights from Penny Spikins, and personal reflections, I argue that autistic cognitive styles—characterized by heightened “folk physics” aptitudes and visual thinking—have historically driven technological progress. Grandin’s patented inventions, motivated by sensory-based empathy for animals, exemplify how neurodivergent inventors seek to embed their conceptions of ethical utility into the nation’s technological infrastructure. The article critiques modern patent litigation trends, advocating instead for a system …

Civic Duties And Cultural Change, Daniel B. Rice

Faculty Publications

What duties do Americans owe the state? Today, this question seems almost incomprehensible. Compulsions in the common interest are received coolly in our rights-obsessed culture, and the Supreme Court has never announced a framework for identifying the burdens of citizenship. Yet the concept of civic duty has played a central role in America’s constitutional tradition. From shoveling snow to repairing roads to fighting overseas, private individuals have long been forced to serve the public in ways menial and profound. Strangely, the discourse of obligation that legitimated numerous compulsions has faded from professional view. Judges’ mawkish tributes to liberty pay no …

Developing Lawyering Skills In The Age Of Artificial Intelligence: A Framework For Legal Education, Julie Kimbrough

Faculty Publications

This Article explores the emergence of generative artificial intelligence technology in legal education and law practice. It first offers historical perspective by examining the development of online legal research systems and other existing law practice technology tools that leverage artificial intelligence. This Article then proposes a framework for legal education based on twenty-first-century competencies that advance human interaction with legal technology tools. Next, this Article recommends that law schools incorporate these competencies into learning outcomes along with a holistic approach to teaching technology-driven lawyering skills as a strategy to narrow the learning gap between legal education and law practice. It …

Notice, Consent, And Choice-Of-Jurisdiction Clauses In The United States, John F. Coyle

Faculty Publications

Although choice-of-jurisdiction clauses are routinely enforced by courts in the United States, there are circumstances where they are subject to special scrutiny. One of these circumstances is when the party resisting the clause was not provided with proper notice as to the existence of the clause or the identity of the chosen jurisdiction. This Article first reviews the existing case law in this area and shows that while some U.S. courts have refused to enforce clauses for lack of notice, others do so as a matter of course. It then discusses several decisions where U.S. courts have held that notice …

Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda

Knowledge Engineering and Data Science

This study aims to address the communication hallenges faced by the Indonesian deaf community by developing an automatic classification model for Sistem Bahasa Isyarat Indonesia (SIBI) using data mining techniques. The main objective is to identify a practical algorithm for recognizing SIBI hand gestures to enhance accessibility and inclusiveness in digital communication. A comprehensive dataset consisting of 32,850 gesture samples representing SIBI alphabet signs was collected and processed through feature extraction, data cleaning, and normalization using Z-Transform and Min-Max methods. Two classification algorithms, K-Nearest Neighbor (KNN) and Random Forest, were implemented and evaluated using metrics such as accuracy, precision, recall, …

A Comparative Study Of Machine Learning Models For Javanese Wuku Classification: Exploring Svm, Naïve Bayes, And Cnn For Cultural Texts, Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almu'iini Ahda, Agung Bella Putra Utama

Knowledge Engineering and Data Science

This study rigorously evaluates machine learning models for classifying culturally significant Javanese Wuku texts from the “Keagamaan atau Spiritual” category, a domain challenged by unique linguistic nuances and limited digitized resources. We compared Support Vector Machine (SVM), Naïve Bayes, and Convolutional Neural Network (CNN) on texts from five pivotal Wuku types (Sinta, Galungan, Kuningan, Sungsang, Warigalit) sourced from sastra.org, aiming to identify the most effective computational approach. The dataset comprises N = 1419 documents (T = 751.290 tokens), with per-class document counts reported for all five Wuku types. Our evaluation uses accuracy, precision, recall, F1-score, and …

Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang

Journal of Scientific Information Research

[Purpose/significance]This paper explores the guiding role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the development of the Information Resource Management discipline with Chinese characteristics, providing significant insights for the innovative advancement of China's Information Resource Management discipline and strengthening the discourse power of Chinese social sciences. [Method/process]This paper systematically reviews the core elements of the development philosophy of the Information Resource Management discipline within Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era from a holistic perspective,elucidates the logical system of the development of the discipline from the diverse perspectives …

Identifying Research Paths Based On Main Path Analysis: A Case Study Of Knowledge Graphs, Ruibin Wei, Yidan Wang, Yan Xu

Journal of Scientific Information Research

[Purpose/significance]The main path analysis of citation networks can be used to identify important literature in specific fields and can achieve the extraction of mainstream research threads. This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research development. [Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform, then uses the HistCite software to generate a direct citation network of the literature, and then imports the data into Pajek to generate multiple main paths of the dataset, and …

The Evolution Of Research Methods In The Digital Humanities Perspective: A Quantitative Analysis Based On Cnki Data And A Large Language Model, Guangyao Sun, Dongbo Wang

Journal of Scientific Information Research

[Purpose/significance]This paper aims to explore the evolution trend of research methods in the field of digital humanities with the help of large language model technology. [Method/process]This paper mainly focuses on the data of CNKI journal articles, selects the general Chinese large language model GLM-4, uses prompt engineering and chain of thought to extract and cluster the abstract data, of papers and analyzes its evolution trend through quantitative processing. [Result/conclusion]The study shows that GLM-4 can well identify and extract research methods from complex abstract data. Analyzing the evolution trend in chronological order, it is found that research methods such as "interview …

Research On Emerging Technology Topic Identification Based On Bertopic, Dakun Wang, Bolin Hua

Journal of Scientific Information Research

[Purpose/significance]Identifying and foreseeing emerging technologies, bring technological first-mover advantages to enterprises and governments, and grasp technological development trends in a timely manner. [Method/process]This study uses BERTopic's topic modeling method to obtain domain topic distribution, and merges paper and patent topics based on the cosine similarity of topic vectors to identify emerging topics. [Result/conclusion]Using the BERTopic topic modeling method combined with index evaluation can effectively identify emerging topics and emerging terms.Taking the field of new energy vehicles as an example to carry out empirical research, using two methods: divided verification period and data verification method, 12 of the 16 identified topics …

The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim

Masyarakat: Jurnal Sosiologi

This article examines how dating applications operate as libidinal infrastructures that restructure and commodify intimacy within platform capitalism, using The Tinder Swindler as a cultural case study. Employing a visual-narrative approach within the framework of Critical Discourse Analysis, the film is analyzed to reveal the structural exploitation of user affect and desire. Grounded in Lacanian psychoanalysis and Baudrillard’s simulation theory, the study argues that these platforms capitalize on the subject’s ontological lack (manque) which fuels desire as the desire for the Other’s desire. This psychic lack sustains a perpetual pursuit of recognition that can never be fulfilled. The swindler’s hyper-curated …

Butyrate Attenuates High-Fat Diet Induced Glomerulopathy Through Gpr43-Sirt3 Pathway, Ying Shi, Lin Xing, Ruoyi Zheng, Xin Luo, Fangzhi Yue, Xingwei Xiang, Anqi Qiu, Junyan Xie, Ryan D. Russell, Dongmei Zhang

Health & Human Performance Faculty Publications

The incidence of obesity related glomerulopathy (ORG) is rising worldwide with very limited treatment methods. Paralleled with the gut-kidney axis theory, beneficial effects of butyrate, one of short-chain fatty acids produced by gut microbiota, on metabolism and certain kidney diseases have gained growing attention. However, the effects of butyrate on ORG and its underlying mechanism are largely unexplored. In this study, a mice model of ORG was established with high-fat diet (HFD) feeding for 16 weeks, and sodium butyrate treatment was initiated at the 8th week. Podocytes injury, oxidative stress, and mitochondria function were evaluated in mice kidney and validated …

An Explainable Ai And Optimized Multi-Branch Convolutional Neural Network Model For Eye Anemia Diagnosis, Kamel K. Mohammed, Nadia Dahmani, Rania Ahmed, Ashraf Darwish, Aboul Ella Hassanien

All Works

This paper proposes a novel, non-invasive approach to diagnosing eye anemia using deep learning techniques. Traditional methods, reliant on invasive procedures like venipuncture, are costly and can cause patient discomfort. Our model leverages a multi-branch convolutional neural network (CNN) architecture, incorporating the Hippopotamus Optimization (HO) algorithm and multiclass support vector machines (SVMs) for enhanced accuracy. To address data imbalance, we employ the Synthetic Minority Oversampling Technique (SMOTE) and data augmentation. The model is trained and evaluated on a dataset of 211 eye images. The model achieves a remarkable 97.06% accuracy, with a Receiver Operating Characteristic (ROC) curve demonstrating an Area …

Digital Transformation Of Education: An Integrated Framework For Metaverse, Blockchain, And Ai-Driven Learning, Mousa Al-Kfairy, Omar Alfandi, Ravi S. Sharma, Saed Alrabaee

All Works

The integration of Metaverse, Blockchain, and Artificial Intelligence (AI) has the potential to revolutionize the educational landscape by providing immersive, secure, and personalized learning environments. This study proposes a conceptual framework that combines these technologies to address the key challenges faced by contemporary education systems, including accessibility, engagement, security, and personalization. The Metaverse serves as the immersive platform, offering virtual classrooms, interactive simulations, and gamified learning experiences. Blockchain provides the foundation for secure and transparent academic records, enabling tamper-proof credential verification and decentralized data management. AI enhances the educational experience by powering adaptive learning systems, predictive analytics, and intelligent tutoring …

Leveraging Sentiment Analysis Of Food Delivery Services Reviews Using Deep Learning And Word Embedding, Dheya Mustafa, Safaa M. Khabour, Mousa Al-Kfairy, Ahmed Shatnawi

All Works

Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods via online platforms is a crucial tool for learning about a company’s performance. Many English-language studies have been conducted on sentiment analysis (SA). Arabic is becoming one of the most extensively written languages on the World Wide Web, but because of its morphological and grammatical difficulty as well as the lack of openly accessible resources for Arabic SA, like as dictionaries and datasets, there has not been much research …

Deep Learning Approaches For Eeg-Based Biometrics: A Systematic Review, Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheema

All Works

Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially because of its resistance to spoofing attacks. Many deep learning methods have been proposed for EEG-based biometric systems. This systematic review examines these methods in terms of their feature extraction ability and authentication performance. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search IEEE Xplore, PubMed, Web of Science, ScienceDirect, and Springer databases. Initially, we identified 285 relevant articles published between 2018 and 2024. After removing duplicates and applying …

"You Can't Buck Against The Railroad" And The Anarchist Radicals Who Ceased To Be: The Honest, Bleak Portrayal Of Social Darwinism In Frank Norris's The Octopus, Michelle Nicole Miani

Theses, Dissertations and Culminating Projects

During the latter half of the nineteenth century, when railroads were consolidating their control, their executives soon learned their power of controlling rates, and by extension, the entire economy. Dissecting the capitalist machine of the railroad corporations in California, Frank Norris’s 1901 novel The Octopus presents a fictionalized account of the very real circumstances of one fight against the monopoly, the Mussel Slough Tragedy of 1880 in the San Joaquin Valley. This thesis explores Norris’s presentation of the forces that drive humans to lack empathy for those around them as well as the forces that drive others to fight back …

Solar Stills Design And Evaluation Of: A Comprehensive Review, Suhaib J. Shbailat, Salwa Bouadila

Babylonian Journal of Mechanical Engineering

Modifications to the Distiller in the water desalination in desert territories, a set of models was suggested (including simple solar panel with single-slope basin). The improvements were classified into two types. the first was to cool the condenser, and the second was to portray the process of heating the evaporator. Five experiments were carried out in the Ouargla region with a dry desert climate. The study, experimental and theoretical, supported the claim that when a heat pump evaporator was added, production of pure water was increased. It was followed by steam condensation and exposing the condenser to sunlight. This was …

Trade Secrecy's Information Paradox, Christopher Buccafusco, Jonathan S. Masur, Deepa Varadarajan

Faculty Scholarship

Trade secret law is meant to encourage socially beneficial behaviors by permitting firms to protect their investments in the creation of valuable information. In theory, the ability to protect valuable information will make firms more likely to create that information in the first instance. But the law can also be used to shield socially harmful behaviors from public oversight. Firms can assert trade secret protection to prevent journalists, watchdogs, and criminal defendants from learning whether they are engaged in dangerous, wrongful, or biased activity. Ideally, trade secret law should sort socially beneficial uses from socially harmful ones, permitting only the …

The International Risk Governance Council: Reflections On A 20-Year Experiment In Support Of Improved Risk Governance, M. Granger Morgan, Marie-Valentine Florin, Igor Linkov, Kenneth A. Oye, Arthur C. Petersen, Ortwin Renn, Jonathan B. Wiener, Lan Xue

Faculty Scholarship

The International Risk Governance Council (IRGC) was a nonprofit foundation, based first as an independent, freestanding Swiss foundation in Geneva from 2003 to 2012, and then affiliated with École Polytechnique Fédérale de Lausanne in Lausanne from 2012 to 2023. IRGC's mission was to identify and improve the governance of emerging and systemic risks that have, or could have, impacts on human and environmental health, the economy and society, and overall sustainability. In this paper, we recount IRGC's history, describe its many reports, workshops, and conference activities (including tables referencing the many published products), and provide six brief case histories of …

The Hidden Cost Of Venture Capital, Emilie Aguirre

Faculty Scholarship

Founders, employees, consumers, and even funders increasingly expect businesses to pursue social goals alongside financial performance. Yet even the most committed firms have found it difficult to maintain social performance over time. Scholars in economics, management, and law have put forth several explanations for this “mission drift,” including inappropriate governance, poor management, lack of genuine commitment, and threat of takeovers. Puzzlingly, research to date primarily focuses on later-stage firms, even though the events and decisions that take place in a firm’s early stages can critically impact retention of its social performance.

Drawing from over five years of qualitative field research …