Digital Commons Network^™

Register Blocking: An Analytical Modelling Approach For Affine Loop Kernels, Theologos Anthimopulos, Georgios Keramidas, Vasilios Kelefouras, Iakovos Stamoulis

School of Engineering, Computing and Mathematics

For the past several decades, optimizing compilers have been aprimary area of focus in both industry and academia. This continued research interest is a testament to the complexity of thistask, primarily stemming from the vast number of parameters thatmust be explored to attain near-optimal results. One of the keycompiler optimizations is "Register Blocking (RB)" also known as"Register-level Tiling" or "unroll-and-jam". RB can strongly reducethe number of executed Load/Store (L/S) instructions, and as aconsequence the number of data accesses in memory hierarchy,but due to its inherent complexities, fine-tuning is essential for itseffective implementation. To address this problem, in this work anew …

How Are Entanglement Entropies Related To Entropy Bounds?, Emily Adlam

Philosophy Faculty Articles and Research

In this paper we seek to understand what current knowledge of entanglement entropies suggests about the appropriate way to interpret the covariant entropy bound. We first begin by arguing that just as in the classical case, a universal bound on the von Neumann entropy could have either an epistemic or ontological origin. We then consider several possible ways of explaining the bound as a consequence of features of the entanglement entropy. We discuss consider area laws in condensed matter and quantum field theory, arguing that they suggest an epistemic reading of the bound. We also discuss the ‘spacetime from entanglement’ …

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository With Genomic And Pathologic Annotations Enables Deep Learning Analysis, Brian S White, Xing Yi Woo, Soner Koc, Todd Sheridan, Steven B Neuhauser, Shidan Wang, Yvonne A Evrard, Li Chen, Ali Foroughi Pour, John D Landua, R Jay Mashl, Sherri R Davies, Bingliang Fang, Maria Gabriela Raso, Kurt W Evans, Matthew H Bailey, Yeqing Chen, Min Xiao, Jill C Rubinstein, Brian J Sanderson, Michael W Lloyd, Sergii Domanskyi, Lacey E Dobrolecki, Maihi Fujita, Junya Fujimoto, Guanghua Xiao, Ryan C Fields, Jacqueline L Mudd, Xiaowei Xu, Melinda G Hollingshead, Shahanawaz Jiwani, Saul Acevedo, Pdxnet Consortium, Brandi N Davis-Dusenbery, Peter N Robinson, Jeffrey A Moscow, James H Doroshow, Nicholas Mitsiades, Salma Kaochar, Chong-Xian Pan, Luis G Carvajal-Carmona, Alana L Welm, Bryan E Welm, Ramaswamy Govindan, Shunqiang Li, Michael A Davies, Jack A Roth, Funda Meric-Bernstam, Yang Xie, Meenhard Herlyn, Li Ding, Michael T Lewis, Carol J Bult, Dennis A Dean, Jeffrey H Chuang

Faculty, Staff and Students Publications

Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of the intact tissue of immunocompromised mice. Histologic imaging via hematoxylin and eosin (H&E) staining is routinely performed on PDX samples, which could be harnessed for computational analysis. Prior studies of large clinical H&E image repositories have shown that deep learning analysis can identify intercellular and morphologic signals correlated with disease phenotype and therapeutic response. In this study, we developed an extensive, pan-cancer repository of >1,000 PDX and paired parental tumor H&E images. These images, curated from the PDX Development and Trial Centers Research Network Consortium, had a …

Influence Of Polypyrrole On Phosphorus- And Tio2-Based Anode Nanomaterials For Li-Ion Batteries, Chiwon Kang, Kibum Song, Seungho Ha, Yujin Sung, Yejin Kim, Keun-Young Shin, Byung Hyo Kim

Faculty, Staff and Student Publications

Phosphorus (P) and TiO2 have been extensively studied as anode materials for lithium-ion batteries (LIBs) due to their high specific capacities. However, P is limited by low electrical conductivity and significant volume changes during charge and discharge cycles, while TiO2 is hindered by low electrical conductivity and slow Li-ion diffusion. To address these issues, we synthesized organic–inorganic hybrid anode materials of P–polypyrrole (PPy) and TiO2–PPy, through in situ polymerization of pyrrole monomer in the presence of the nanoscale inorganic materials. These hybrid anode materials showed higher cycling stability and capacity compared to pure P and TiO2. The enhancements are attributed …

A/B Testing Of User Enrollment Forms To Enhance Diversity In The Biomedical Workforce Via The National Research Mentoring Network: User-Centered Design Case Study, Toufeeq Ahmed Syed, Erika L Thompson, Jason Johnson, Zainab Latif, Nan Kennedy, Damaris Javier, Katie Stinson, Jamboor K Vishwanatha

Faculty, Staff and Student Publications

BACKGROUND: The National Research Mentoring Network (NRMN) is a National Institutes of Health-funded program for diversifying the science, technology, engineering, math, and medicine research workforce through the provision of mentoring, networking, and professional development resources. The NRMN provides mentoring resources to members through its online platform-MyNRMN.

OBJECTIVE: MyNRMN helps members build a network of mentors. Our goal was to expand enrollment and mentoring connections, especially among those who have been historically underrepresented in biomedical training and the biomedical workforce.

METHODS: To improve the ease of enrollment, we implemented the split testing of iterations of our user interface for platform registration. …

Evaluating Artificial Intelligence On The Efficacy Of Preference Assessments For Preservice Speech-Language Pathologists, Brenna Griffin, Elizabeth R. Lorah, Christine Holyfield, Nicolette Caldwell, John Nosek

Curriculum and Instruction Faculty Publications and Presentations

Individuals with intellectual and developmental disabilities (IDD) face many barriers to meaningful inclusion, including limited language and communication skills. Professionals, such as speech-language pathologists (SLPs), can provide personalized instruction to promote skill development and inclusion. Providing opportunities for individuals to express preferences and choice, such as the multiple stimulus without replacement preference assessment (MSWO; DeLeon & Iwata 1996), within these programs, further increases skill acquisition and social interaction. However, limitations in professionals’ knowledge and skills in performing assessments can be another barrier to meaningful inclusion for individuals with IDD and traditional training methods can be challenging and time consuming. …

Media Optimization Techniques For Microalgae Through Technological Advancements: A Mini Review, Khairul A. Radzun, Hasan M. Agha, Nur Farrahim F. Abdullah, Mas I. Ahmad, Igor Ivanovski, Amjad A. Mohammed, Abdulmutalib Alabeed Alkamil

AUIQ Complementary Biological System

Microalgae have been classified as the most primitive plant species and the ability to grow rapidly makes it very suitable for biomass cultivation by using different technologies over the past years. Microalgal biomass can be used for various productions such as biofuels, food, supplements, and more as it is categorized as environmentally friendly throughout the cultivation process. Nutrients play one of the most important roles in cultivating microalgae besides other factors such as temperature, pH, salinity, inorganic carbon, oxygen, light intensity, and carbon dioxide availability. The technology has become much more advanced in cultivating microalgae for maximizing lipid or biomass …

The Theological Method Of Thomas Aquinas In The Beatific Vision, Kent T. Maitland

Liberty Theological Review

This essay posits that Thomas Aquinas’s Beatific Vision may not be a biblically accurate conception of the Christian’s eternal destiny because it is grounded in a problematic theological method. For Aquinas, theology is a science for deducing the saving knowledge of God, which can only be discovered through Scripture. The integrity of Scripture’s place of prominence, however, is undermined by the apparent usefulness of other sources for interpreting Scripture’s meaning. His use of other sources in interpreting Scripture is justified by a hermeneutic that emphasizes the importance of Scripture’s figurative meaning over the literal in determining its usefulness for theological …

Towards Environmentally Sustainable Preservation Of Heritage Buildings, Rozal Rozal Yousef Hanna1, Ayman Gamal El-Din Abd El- Tawab2, Walaa Abou El- Haggag Mehanna3

Journal of Engineering Research

The construction industry, characterized by its intricate processes and extensive stakeholder networks, stands at the cusp of a digital revolution. The adoption of blockchain-smart contract (BCSC) technology is at the heart of this transformation. This research delves deep into the BCSC within the construction arena to provide comprehensive insight into its probable applications, inherent challenges, and potential future trajectories. Leveraging the PRISMA analysis technique, a curated collection of relevant academic research articles was assembled, shedding light on the existing body of knowledge regarding the application of BCSC technology in construction. The authors developed an innovative user interface tool customized to …

Review: Protection Of Wooden Structures With Nano-Titanium Dioxide Coating, Zienab Zienab A. Ahmed1*, And M. M. Mosallem2

Journal of Engineering Research

Wood is widely used for various purposes with good performance. Wood works as the main material for furniture, monuments, decorations and constructions. which has the close relationship with human. Durability of wood is important in ensuring an appropriate life for the structure being designed. Wooden construction deteriorates easily due to UV radiation and weather conditions. Many of wood types need a preservative treatment. Several compounds are available for chemical protection, but not all are completely safe for human health. New technologies with low environmental impact and economically feasible are developed, which improves the life cycle of wood. Titanium dioxide is …

Urbanism Strategies For Linking Existing And New Cities, Naglaa J. Q. Mo’Men Abdel-Qader Ebrahim1, Mohsen Bayad2

Journal of Engineering Research

New cities, designed for urban growth outside existing metropolitan regions, face challenges in street infrastructure due to rapid expansion. Efficient control of mobility is crucial as cities grow. Sustainable transportation involves factors like infrastructure, public transit, delivery networks, affordability, efficiency, air quality, health, and reduced emissions. Commuting between established and new urban areas is common, leading to issues like urban sprawl, longer travel times, and congestion in developing countries. The challenge is to improve accessibility while addressing air quality, traffic, congestion, noise, built environment, emissions, and sprawl. This study aims to explore factors influencing mobility choices in Egypt, focusing on …

Safety In P–12 Engineering Courses Within The Southern United States, Tyler S. Love

Journal of Pre-College Engineering Education Research (J-PEER)

Engineering education programs, especially at the P–12 level, pose inherent legal and ethical responsibilities pertaining to safety that cannot be ignored. Cultivating safer practices and habits during the design and hands-on development of engineering solutions starts well before students enter higher education engineering programs. P–12 engineering education programs play a critical role in enhancing safety awareness, developing safer habits, and improving safety culture, which has an influence on the safety practices that students carry with them into higher education programs and the workplace. This study analyzed the safety factors and accident occurrences reported by 305 P–12 engineering educators from the …

Holomorphic Functional Calculus Approach To The Characteristic Function Of Quantum Observables, Andreas Boukas

Journal of Stochastic Analysis

No abstract provided.

Improved Efficiency And Sensitivity Analysis Of 3-D Agent-Based Model For Pain-Related Neural Activity In The Amygdala, Kayla Kraeuter, Carley Reith, Benedict J. Kolber, Rachael Miller Neilan

Spora: A Journal of Biomathematics

Neuropathic pain is caused by nerve injury and involves brain areas such as the central nucleus of the amygdala (CeA). We developed the first 3-D agent-based model (ABM) of neuropathic pain-related neurons in the CeA using NetLogo3D. The execution time of a single ABM simulation using realistic parameters (e.g., 13,000 neurons and 22,000+ neural connections) is an important factor in the model’s usability. In this paper, we describe our efforts to improve the computational efficiency of our 3-D ABM, which resulted in a 28% reduction in execution time on average for a typical simulation. With this upgraded model, we performed …

Utilizing Collaborating Biomedical Deep Model For Diagnosis Of Ultrasonography Tumor Images, Maytham N. Meqdad, Seifedine Kadry

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Artificial intelligence models are the most common methods of diagnosing various diseases today. In the meantime, the use of deep learning for faster diagnosis with less error, which is usually less expensive than other methods, is noteworthy. However, these methods are expensive due to the problems of accessing data, including care data such as hospitals and clinics. This article presents a novel federated learning-based approach for ultrasound mammography image classification. In this method, the clients possess their own datasets and are trained to use them. Then, the server, with the help of the trained clients, obtains the best parameters for …

Quasi – Monte Carlo Estimation For Functional Generalized Linear Mixed Models, Ruvini Jayamaha

Waldo Library Student Exhibits

Functional Data Analysis (FDA) is a topic of growing interest in the Statistics community. The data in FDA are smooth curves or surfaces in time or space which can be conceptualized as functions.

We propose a Functional Generalized Linear Mixed Model (FGLMM) to fit EEG data and estimate the parameters using Quasi-Monte Carlo Method.

This proposed model deals with non-Gaussian scalar response, functional predictor, and random effects. We relax the assumption of link and variance functions.

On The Number Of Linear Regions Of Convolutional Neural Networks With Piecewise Linear Activations, Huan Xiong, Lei Huang, Wenston J.T. Zang, Xiantong Zhen, Guo Sen Xie, Bin Gu, Le Song

Machine Learning Faculty Publications

One fundamental problem in deep learning is understanding the excellent performance of deep Neural Networks (NNs) in practice. An explanation for the superiority of NNs is that they can realize a large family of complicated functions, i.e., they have powerful expressivity. The expressivity of a Neural Network with Piecewise Linear activations (PLNN) can be quantified by the maximal number of linear regions it can separate its input space into. In this paper, we provide several mathematical results needed for studying the linear regions of Convolutional Neural Networks with Piecewise Linear activations (PLCNNs), and use them to derive the maximal and …

Math 75: Introduction To Linear Algebra, Sarah K. Merz

Pacific Open Texts

This text is intended to use in a first course of Linear Algebra with a prerequisite of Calculus 1. Topics covered include systems of linear equations, matrix operations and inverses, linear transformations, Markov chains, determinants, eigenvalues and eigenvectors, diagonalization, vector geometry, projections and planes, homogeneous coordinates, subspaces, spanning sets, linear independence, orthogonality, fundamental subspaces, and least squares.

Testing Of An Organic Metal Halide Perovskite For Fast Neutron Detection, Wyatt Panaccione, Zhifang Shi, Praneeth Kandlakunta, Taylor M. Nichols, Susan White, Jinsong Huang, Lei R. Cao

Student Publications

In this work, we synthesized and characterized the Methylhydrazinium Lead Trichloride MHyPbCl₃(CH₃NH₂NH₂PbCl₃) perovskite as a fast neutron detector. The high hydrogen density of MHyPbCl3 enables efficient energy conversion from a fast neutron into a recoiled proton through the 1H(n,n)1H elastic scattering interaction, thereby, allowing for direct charge detection. Through IV characterization and X-Ray excitation, the crystal demonstrated a high resistivity at 4.43E11 ω cm and a good mobility-lifetime product (μτ) of 9.1E-3 ^cm2/_V respectively, under C₆₀/BCP/Cu and Au contact configuration to form an ohmic-ohmic …

Catalysing Growth: State Of Asean University Innovation And Entrepreneurship: Report 2024, Abdullah Khurshid, Dexter Ye Kai Tan, Gabrielle Lay Khim Tan

Research Collection Institute of Innovation and Entrepreneurship

Over the past few years, Southeast Asia has captured global attention with its remarkable economic growth, driven by strong tailwinds. This has led to the expansion of its middle-class consumer base that is actively participating in while benefitting from the region’s rapidly expanding digital economy. In such a climate, there is tremendous potential for Innovation and Entrepreneurship (I&E) to be a critical economic driver. Homegrown startups in different Southeast Asian countries have introduced technology-first solutions that have scaled across the region, pushing businesses to innovate rapidly. Moreover, startups promote inclusive growth by leveraging scalable internet platforms and novel technologies to …

The Reality Of Spreading The Culture Of Entrepreneurship That Stimulates Development, The Viewpoint Of Students Of The Jordanian University Of Science And Technology, Khalid Hammouri, Erwah Albataineh

An-Najah University Journal for Research - B (Humanities)

The study population consisted of (570) male and female students from of the Jordanian University of Science and Technology. The study sample was chosen by simple random method, and it consisted of (230) male and female students The analytical descriptive approach was applied, also a tool has prepared to measure of the reality of spreading the culture of entrepreneurship that stimulates development. The study's results indicated the following: - The reality of spreading the culture of entrepreneurship that stimulates development, of students of the Jordanian University of Science students was rated high. - There were no statistically significant differences at …

Gauss Newton Method For Solving Variational Problems Of Pdes With Neural Network Discretizaitons, Wenrui Hao, Qingguo Hong, Xianlin Jin

Mathematics and Statistics Faculty Research & Creative Works

The numerical solution of differential equations using machine learning-based approaches has gained significant popularity. Neural network-based discretization has emerged as a powerful tool for solving differential equations by parameterizing a set of functions. Various approaches, such as the deep Ritz method and physics-informed neural networks, have been developed for numerical solutions. Training algorithms, including gradient descent and greedy algorithms, have been proposed to solve the resulting optimization problems. In this paper, we focus on the variational formulation of the problem and propose a Gauss–Newton method for computing the numerical solution. We provide a comprehensive analysis of the superlinear convergence properties …

Immigrant-Origin Students At The University Of Southern Maine [Report], Marina Chakmakchi Mppm, Ll.M.

Global Talent Navigator

Document providing the full report. Consists of 62 pages plus appendices.

Executive Summary and Highlights

The University of Southern Maine (USM) is uniquely positioned to serve as a regional educational hub for New Americans. USM helps New Americans to achieve their educational goals, become self-sufficient, and thrive in Maine’s communities. This report and its findings aim to guide future endeavors in attracting and retaining immigrant-origin students. The proposed recommendations will foster an inclusive campus, ultimately contributing to the well-being of the entire student population at USM. This report attempts to offer system improvements to effectively address the needs of immigrant-origin …

The Innovator - Summer 2024, Matthew Hamel

Faculty Affairs & Research Newsletters - The Innovator

No abstract provided.

Implementation Of A Mindfulness Approach To Emotional Regulation In A Public High School., Kaelin Cherise Shay

Doctor of Nursing Practice Papers

According to the Gallup and Walton Family Foundation-State of American Youth Survey for 2023, schools in the United States received an average grade of C+ when it comes to supporting their students’ mental health, highlighting a potential area for improvement in the school system (Wilcoxon & Marken, 2023). This quality improvement project aimed to teach high school students about emotional regulation using a mindfulness platform and evidence-based techniques designed for the school environment. The sessions focused on improving the students’ understanding of emotions and emotional regulation and helping them apply techniques to regulate emotions in a healthy manner.

This project …

Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cross-exchange crypto trading presents inherent risks, particularly for centralized exchanges. Investors observe exacerbating crypto volatility and counterparty risk and would like to quantify these elements of crypto trades. The multiple exchanges require a multivariate view on the structures of risk spillover across exchanges. Here, a Multivariate Heterogeneous AutoRegression (MHAR) model is designed and analyzed, accommodating the stylized facts of crypto markets, including 24/7 trading and the long-memory effect on return variations. The proposed MHAR approach clearly reveals the intensity of interconnectedness among exchanges during extreme events, e.g., the Bitcoin market. Additionally, one observes extremely volatile eigenvector centralities of Futures Exchange …

Air Force Institute Of Technology Research Report 2022, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and Management, as well as AFIT's research centers. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting entities within the Institution.

Air Force Institute Of Technology Research Report 2021, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and Management, as well as AFIT's research centers. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting entities within the Institution.

If Subsequent Results Are Too Easy To Obtain, The Proof Most Probably Has Errors: Explanation Of The Empirical Observation, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Many modern mathematical proofs are very complex, checking them is difficult; as a result, errors sneak into published proofs, even into proofs published in highly reputable journals. Sometimes, the errors are repairable, but sometimes, it turns out that the supposedly proven result is actually wrong. When the error is not noticed for some time, the published result is used to prove many other results -- and when the error is eventually found, all these new results are invalidated. This happened several times. Since it is not realistic to more thoroughly check all the proofs, and we want to minimize the …

Why Angles Between Galactic Center Filaments And Galactic Plane Follow A Bimodal Distribution: A Symmetry-Based Explanation, Julio C. Urenda, Vladik Kreinovich

Departmental Technical Reports (CS)

Recent observations have shown that the angles between the Galaxy Center filaments and the Galactic plane follow a bimodal distribution: a large number of filaments are approximately orthogonal to the Galactic plane, a large number of filaments are approximately parallel to the Galactic plane, and much fewer filaments have other orientations. In this paper, we show this bimodal distribution can be explained by natural geometric symmetries.