Digital Commons Network^™

All You Need Is Unary: End-To-End Bit-Stream Processing In Hyperdimensional Computing, Mehran Shoushtari Moghadam, M. Hassan Najafi

Faculty Scholarship

Hyperdimensional Computing (HDC) is a brain-inspired computing paradigm introduced to achieve energy efficiency with a lightweight and single-pass training model. Hypervectors (HVs) at the heart of the HDC systems play a fundamental role in elevating the accuracy and obtaining the desired performance. Image-based HV encoding requires two types of HVs: Position and Level HVs. State-of-the-art approaches utilize pseudo-random methods for generating these HVs, which might degrade system performance and cause higher power consumption due to poor randomness in HV generation. These conventional methods require iteratively calculating orthogonal Positional HVs for acceptable accuracy. This work proposes a fast, ultra-lightweight, and high-quality …

A Practical Guide To Light-Sheet Microscopy For Nanoscale Imaging: Looking Beyond The Cell, Stephanie N. Kramer, Jeanpun Antarasen, Cole R. Reinholt, Lydia Kisley

Faculty Scholarship

We present a comprehensive guide to light-sheet microscopy (LSM) to assist scientists in navigating the practical implementation of this microscopy technique. Emphasizing the applicability of LSM to image both static microscale and nanoscale features, as well as diffusion dynamics, we present the fundamental concepts of microscopy, progressing through beam profile considerations, to image reconstruction. We outline key practical decisions in constructing a home-built system and provide insight into the alignment and calibration processes. We briefly discuss the conditions necessary for constructing a continuous 3D image and introduce our home-built code for data analysis. By providing this guide, we aim to …

A 6-Month, Prospective, Randomized Controlled Trial Of Customized Adherence Enhancement Versus A Bipolar-Specific Educational Control In Poorly Adherent Adolescents And Young Adults Living With Bipolar Disorder, Jennifer B. Levin, Molly Mcvoy, Joy Yala, Jessica Black, Carla Conroy, Martha Sajatovic

Faculty Scholarship

Objective: Few studies have addressed medication adherence in adolescents and young adults (AYAs) with bipolar disorder (BD). This 6-month prospective randomized-controlled trial (RCT) tested customized adherence enhancement for adolescents and young adults (CAE-AYA), a behavioral intervention for AYAs versus enhanced treatment as usual (ETAU). Methods: Inclusion criteria were AYAs age 13–21 with BD type I or II with suboptimal adherence defined as missing ≥20% of medications. Assessments were conducted at Screening, Baseline, and weeks 8, 12 and 24. Primary outcome was past 7 day self-reported Tablets Routine Questionnaire (TRQ) validated by electronic pillbox monitoring (SimpleMed). Symptom measures included the Hamilton …

Navigating Life: Neuroscience And Inclusive Design In Wayfinding Systems, Stephanie Jost, Piper Hutson, James Hutson

Faculty Scholarship

Wayfinding, as conceptualized by Lynch, has transformed from traditional navigation methods reliant on visual cues and landmarks to modern systems that integrate digital technologies and neuroscience. This study addresses the need for accessible and consistent wayfinding systems that accommodate diverse user abilities, particularly in complex environments such as public transit, hospitals, and large institutions. Current systems often lack coordination, clear signage, and comprehensive coverage, leading to navigation challenges. Through a multi-method approach, including literature review and case study analysis, this research evaluates best practices for inclusive wayfinding. Key findings emphasize the importance of consistent visual design, strategic sign placement, and …

Administrative Arrest Warrants: Armed Encounters Outside The Judicial Process, Meg Penrose

Faculty Scholarship

This Article considers three related questions. First, is a person “seized” under the Fourth Amendment when law enforcement restricts a person’s movements in their home and limits their ability to leave or go about their business? Second, does the answer to this seizure inquiry turn on the person’s citizenship status? And third, how do lawyers ensure that courts discard bad law? This last question is not a qualitative assessment— with good and bad law being tied to one’s legal ideology. Rather, certain legal holdings, dating back over half a century, have been whittled away if not entirely eroded. When this …

Technoculture And Language Models In Archaeology: Reconstructing And Preserving Cultural Narratives Through Digital Humanities, James Hutson

Faculty Scholarship

Technoculture, which examines the intersection of culture and technology, has increasingly permeated archaeological practice, transforming both scholarly research and public engagement [1-3]. The introduction of digital tools such as virtual reality (VR), geographic information systems (GIS), and large language models (LLMs) has democratized access to archaeological knowledge, enabling communities to engage more actively with their cultural heritage [4-6]. This short article explores the mutual influence of technocultural studies and AI technologies on archaeology, with a focus on the preservation and reconstruction of cultural narratives through digital means.

The first aspect of this intersection lies in how technocultural tools are creating …

The National Security Exception At The Wto: Should It Just Be A Matter Of When Members Can Avail Of It? What About How?, Mona Pinchis-Paulsen, Kamal Saggi, Petros C. Mavroidis

Faculty Scholarship

The GATT security exceptions were practically in hibernation until recently. The recent WTO disputes panel activity concerning such exceptions is characterized by a standard of review that places the accent on ‘when’ action should be taken and not so much on ‘what’ action should be taken. We see two problems with this construction. First, the ‘when’ might be a function of privileged information that those possessing it might be unwilling to divulge in a transparent manner. Second, national security is an amorphous concept, and unless we disaggregate it, it is impossible to pronounce the appropriateness of measures adopted to pursue …

Barriers And Facilitators To Incorporating An Integrative Mind–Body Intervention In Youth With Type 2 Diabetes, Irina Bransteter, Molly Mcvoy, David W. Miller, Rose A. Gubitosi-Klug, Martha Sajatovic

Faculty Scholarship

Objective: There has been little to no qualitative research done with adolescents and young adults (AYA) with type 2 diabetes (T2D) that can guide creation of interventions for this demographic. Using qualitative research methods, a novel mind–body intervention called Intervention for Early Onset Type 2 Diabetes (INTEND) has been developed for AYA aged 15 to 20 years, with the goal of improving self-management and coping skills, by enhancing routine care with augmented education coupled with mind–body skills. Method: Qualitative interviews with AYA 15 to 20 years of age with T2D, their parents, and professionals caring specifically for this population were …

Impact Of Sars-Cov-2 (Covid-19) Infections On Mental Health Diagnoses In Youth With Chronic Illness, Molly Mcvoy, Rina Hung, Irina Bransteter, David W. Miller, Jeffrey A. Dusek, Martha Sajatovic

Faculty Scholarship

Objective: Stressors from the COVID-19 pandemic and limited availability of mental health care services have negatively impacted youth mental health in a significant way. In the first year of the pandemic, global prevalence of anxiety and depression increased by roughly 25% in pediatric populations. While the general trend is clear, this research aimed to explore the added mental health burden of acute COVID-19 on pediatric patients with chronic conditions and describe the differences in mental health outcomes between pediatric patients with 2 common chronic conditions (asthma and diabetes) to better understand specific factors that may increase susceptibility to mental health …

Impact Of Resin Molecular Weight On Drying Kinetics And Sag Of Coatings, Marola W. Issa, Christpher L. Wirth

Faculty Scholarship

Coating performance is influenced by factors inherent to formulation design and processing conditions. Understanding the complex interplay of these attributes enables for mitigating defects, such as sag, which is a gravity-driven phenomenon that impacts the aesthetic and functionality of a coating. The work herein investigates the impact of resin molecular weight and solvent choice on the drying kinetics and sag velocity in polymer films. These films, ranging in thickness from ~60 μm to ~120 μm were formulated with 45 % by weight polymer resin in one of two solvent packages with different relative evaporation rates (RER). Gravimetry was initially used …

What The Warhol Court Got Wrong: Use As An Artist Reference And The Derivative Work Doctrine, Jessica Silbey, Eva Subotnik

Faculty Scholarship

In Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith, the Supreme Court conflated “use as an artist reference” with preparing a “derivative work.” It did so on the erroneous assumption that permission to use a copyrighted work as an artist reference is a license to prepare a derivative work. But copyright law does not necessarily deem all uses of references for making new art to be the preparation of a derivative work. In other words, not all adaptations of an original work are infringing. Some may be neither derivative works nor substantially similar copies, and some may …

Critical Race Theory As Legal Epistemic Justice, Jasmine Gonzales Rose

Faculty Scholarship

“Critical Thinking: Not Critical Race Theory” and “Teach Truth: Not CRT,” proclaimed the front and back of a T-shirt on a fellow traveler passing in the airport. I was startled by the blatant misconceptions. The core pursuits of critical race theory (“CRT”) are to think critically, discover truth, and diversify knowledge about race and racism. Although I was aware of then-President Trump’s executive order barring federal diversity training and bills modeled after it, nothing had prepared me for the realization that my academic subfield had become so widely criticized that it was now the subject of T-shirt slogans. A few …

Diffuse Interface Modeling Of Non-Isothermal Stokes-Darcy Flow With Immersed Transmissibility Conditions, Hyoung Suk Suh

Faculty Scholarship

The coupling between free and porous medium flows has received significant attention since it plays an important role in a wide range of problems from fluid-soil interactions to biofluid dynamics. However, modeling this coupled process remains a difficult task as it often involves a domain decomposition algorithm in conjunction with a special treatment at the interface. The problem can become more challenging under non-isothermal conditions because it requires the iterative procedure at every time step to simultaneously meet the transient mass continuity, force equilibrium, and energy balance for the entire system. This article presents a diffuse interface framework for modeling …

A Magnetic-Directed Micro-Particle With Near-Ir Light Triggered Guest-Release Property, Jin Ge, Xiang Cheng, Lihan Rong

Faculty Scholarship

In this study, guest carriers, composed of magnetic-directed hydrogel particles with near-infrared (NIR)-light-triggered guest-release properties, are prepared via the one-pot method. The gel particles contain photostable NIR-responsive polypyrrole nanoparticles with temperature-sensitive poly(N-isopropyl acrylamide), the combination of which can induce the accelerated release of encapsulated drugs by 337% upon 5 minutes of NIR light irradiation based on the release profile of NRMG-1 at 10–15 min. Additionally, with magnetic iron oxide particles crosslinking the polyvinyl alcohol frames, these gel particles can form a physical barrier that decreases the release rate by 20% under an external magnetic field over 24 h. The magnetic …

Carbon-Sulfur Bond Elongation As The Promoting Reaction Coordinate In The Efficient Sub-Nanosecond Intersystem Crossing In Thianaphthene Derivatives, Cameron Griffith, Erqian Mao, Sean J. Hoehn, Sarah E. Krul, Carlos E. Crespo-Hernández

Faculty Scholarship

Thiophene derivatives have become integral to OLEDs, photovoltaics, and photodynamic therapy research. A deeper understanding of their excited state dynamics and electronic relaxation mechanisms is expected to provide important physical insights of direct relevance for these applications. In this study, thianaphthene (TN), 2-methylbenzothiophene (2MBT), and 3-methylbenzothiophene (3MBT) are investigated using femtosecond broadband transient absorption and steady-state spectroscopy techniques along with time-dependent density functional calculations in cyclohexane and acetonitrile. The photophysical properties and electronic relaxation mechanisms of these derivatives are elucidated. Small fluorescence quantum yields ranging from 0.4 to 1.1% are measured. It is demonstrated that excitation of TN at 290 …

Mhongoose: A Meerkat Nearby Galaxy H I Survey, Stacy S. Mcgaugh

Faculty Scholarship

The MHONGOOSE (MeerKAT H i Observations of Nearby Galactic Objects: Observing Southern Emitters) survey maps the distribution and kinematics of the neutral atomic hydrogen (H i) gas in and around 30 nearby star-forming spiral and dwarf galaxies to extremely low H i column densities. The H i column density sensitivity (3σ over 16 km s−1) ranges from ∼5 × 1017 cm−2 at 9000 resolution to ∼4 × 1019 cm−2 at the highest resolution of 700. The H i mass sensitivity (3σ over 50 km s−1) is ∼5.5×105 M at a distance of 10 Mpc (the median distance of the sample …

Living Collections: Biodiversity Cultivated At Public Gardens Has The Power To Connect Ecological Questions And Evolutionary Context, Jean H. Burns, Katharine L. Stuble, Juliana S. Medeiros

Faculty Scholarship

Combining ecological questions with evolutionary context generates novel insight into both ecology and evolution. However, our ability to draw broad inferences can be limited by the taxonomic diversity present within and across species at a site. Public gardens (including botanical gardens and arboreta) may focus solely on aesthetics in developing their gardens, but some public gardens include scientific inquiry and conservation at the core of their missions (Hohn, 2022). These scientifically oriented public gardens follow community standards of excellence (Hohn, 2022) to provide unique access to curated plant collections specifically designed to gather high levels of biodiversity, both among and …

Scheduling Meetings: Are The Odds In Your Favor?, Harsh Mathur

Faculty Scholarship

Abstract: Polling all the participants to find a time when everyone is available is the ubiquitous method of scheduling meetings nowadays. We examine the probability of a poll with m participants and ℓ possible meeting times succeeding, where each participant rejects r of the ℓ options. For large ℓ and fixed r/ℓ, we can carry out a saddle-point expansion and obtain analytical results for the probability of success. Despite the thermodynamic limit of large ℓ, the ‘microcanonical’ version of the problem where each participant rejects exactly r possible meeting times, and the ‘canonical’ version where each participant has a probability …

Association Between Residential Distance To Airport And Blood Lead Levels In Children Under 6 Living In North Carolina, 1992–2015, Abdul-Nasah Soale

Faculty Scholarship

Even with progress in lead poisoning prevention, research has consistently shown there is no safe blood lead level (BLL) for children.1 Behavioral and cognitive deficits are associated with lead exposure, even at low levels.2 Unfortunately, many piston-engine aircraft are still fueled by leaded aviation gas (avgas). The US Environmental Protection Agency (EPA) estimates that 5.2 million people live within 500m of an airport where avgas is used.3 Our past research in six North Carolina (NC) counties indicates that children living within 500m of airports where avgas is used have ∼4% higher BLLs than children who lived beyond 2,000m (reference group); …

The Incoherence Of Evidence Law, G. Alexander Nunn

Faculty Scholarship

What is the purpose of evidence law? The answer might seem intuitive. Evidence law exists, of course, to foster verdict accuracy, legitimacy, and efficiency. But these kindred aims often come into conflict. Policy tradeoffs are inescapable in evidence law, meaning that an evidentiary regime must clarify how its normative objectives cohere. Do accuracy, legitimacy, and efficiency work together on equal footing, such that the goal of a code is to maximize each objective to the extent possible? Or does one of evidence law’s aims take precedence over the rest? And if one goal takes priority, what is the role of …

The Limits Of Immigrant Resilience, Huyen Pham, Natalie C. Cook, Ernesto Amaral, Raymond Robertson, Suojin Wang

Faculty Scholarship

Economists have identified important adaptations that immigrant workers have made to weather economic crises. During times of economic contraction, immigrant workers have moved across industries or geographical locations, downshifted to part-time work, and accepted lower wages to stay employed. Evidence from the Great Recession (2007–2009) shows the benefits of that economic resilience: immigrant workers were more likely than native-born workers to remain continuously employed, to have shorter periods of unemployment when they lost their jobs, and to regain jobs more quickly in the recovery period. Of course, these adaptations had significant personal costs for immigrant workers and their families, but …

Even Laypeople Use Legalese, Eric H. Martinez, Francis Mollica, Edward Gibson

Faculty Scholarship

Whereas principles of communicative efficiency and legal doctrine dictate that laws be comprehensible to the common world, empirical evidence suggests legal documents are largely incomprehensible to lawyers and laypeople alike. Here, a corpus analysis (n=59 million words) first replicated and extended prior work revealing laws to contain strikingly higher rates of complex syntactic structures relative to six baseline genres of English.

Next, two pre-registered text generation experiments (n=286) tested two leading hypotheses regarding how these complex structures enter into legal documents in the first place. In line with the magic spell hypothesis, we found people tasked with writing official laws …

Materials Data Science Using Cradle: A Distributed, Data-Centric Approach, Thomas G. Ciardi, Arafath Nihar, Rounak Chawla, Olatunde Akanbi, Pawan K. Tripathi, Yinghui Wu, Vipin Chaudhary, Roger H. French

Faculty Scholarship

There is a paradigm shift towards data-centric AI, where model efficacy relies on quality, unified data. The common research analytics and data lifecycle environment (CRADLE™) is an infrastructure and framework that supports a data-centric paradigm and materials data science at scale through heterogeneous data management, elastic scaling, and accessible interfaces. We demonstrate CRADLE’s capabilities through five materials science studies: phase identification in X-ray diffraction, defect segmentation in X-ray computed tomography, polymer crystallization analysis in atomic force microscopy, feature extraction from additive manufacturing, and geospatial data fusion. CRADLE catalyzes scalable, reproducible insights to transform how data is captured, stored, and analyzed. …

Using Latent Variables To Improve The Management Of Depression Among Hemodialysis Patients, Douglas D. Gunzler, Martha Sajatovic, Ashwini R. Sehgal

Faculty Scholarship

Background: Screening for depression can be challenging among hemodialysis patients due to the overlap of depressive symptoms with dialysis or kidney disease related symptoms. The aim of this study was to understand these overlapping symptoms and develop a depression screening tool for better clinical assessment of depressive symptoms in dialysis patients. Methods: We surveyed 1,085 dialysis patients between March 1, 2018 and February 28, 2023 at 15 dialysis facilities in Northeast Ohio with the 9-item patient health questionnaire (PHQ-9) and kidney disease quality of life (KDQOL) instrument. To evaluate overlap across questionnaire items, we used structural equation modeling (SEM). We …

Limits To Asset Manager Adaptation, Madison Condon

Faculty Scholarship

In Our Lives in Their Portfolios, Brett Christophers provides an account of the rise of ‘asset manager society’ – a world in which the infrastructures of public life are converted from public to private ownership. Here I use Christophers’ analysis to comment on growing calls for asset manager investment in climate adaptation. The asset manager business model requires ever-escalating returns, a poor fit with the now unavoidable losses that climate change promises to bring.

Cross-Correlation Increases Sampling In Diffusion-Based Super-Resolution Optical Fluctuation Imaging, Jeanpun Antarasen, Benjamin Wellnitz, Stephanie N. Kramer, Surajit Chatterjee, Lydia Kisley

Faculty Scholarship

Correlation signal processing of optical three-dimensional (x, y, t) data can produce super-resolution images. The second-order cross-correlation function XC2 has been documented to produce super-resolution imaging with static and blinking emitters but not for diffusing emitters. Here, we both analytically and numerically demonstrate cross-correlation analysis for diffusing particles. We then expand our fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) analysis to use cross-correlation as a postprocessing computational technique to extract both dynamic and structural information on particle diffusion in nanoscale structures simultaneously. Cross-correlation maintains the same super-resolution as auto-correlation while also increasing the sampling rates to reduce aliasing for …

Materials Data Science Using Cradle: A Distributed, Data-Centric Approach, Thomas G. Ciardi, Arafath Nihar, Rounak Chawla, Olatunde Akanbi, Pawan K. Tripathi, Yinghui Wu, Vipin Chaudhary, Roger H. French

Faculty Scholarship

There is a paradigm shift towards data-centric AI, where model efficacy relies on quality, unified data. The common research analytics and data lifecycle environment (CRADLE™) is an infrastructure and framework that supports a data-centric paradigm and materials data science at scale through heterogeneous data management, elastic scaling, and accessible interfaces. We demonstrate CRADLE’s capabilities through five materials science studies: phase identification in X-ray diffraction, defect segmentation in X-ray computed tomography, polymer crystallization analysis in atomic force microscopy, feature extraction from additive manufacturing, and geospatial data fusion. CRADLE catalyzes scalable, reproducible insights to transform how data is captured, stored, and analyzed.

Experimental Investigation Of Heat Transfer And Pressure Drop In Copper Manifold Microchannel Heat Sinks, Yue Qiu, Huigang Wang, Jennifer Carter, James Mcguffin-Cawley, Chirag R. Kharangate

Faculty Scholarship

Over the past decade, various two-phase cooling solutions have been implemented to dissipate power in high heat flux electronic components. The manifold microchannel heat sink is an efficient thermal management solution that reduces heat resistance while also limiting the pumping power. However, there is limited work available on small form factor manifold microchannels with traditional heat sinking materials like copper. In this study, an experimental investigation is conducted to evaluate the heat transfer and pressure drop performance of copper manifold microchannel heat sinks using an environmentally friendly refrigerant, R1233zd(E), as the working fluid. A microchannel plate and a manifold plate, …

Machine Learning Boiling Prediction: From Autonomous Vision Of Flow Visualization Data To Performance Parameter Theoretical Modeling, Cho Ning Huang, Issam Mudawar, Chirag R. Kharangate

Faculty Scholarship

Flow boiling is a highly efficient configuration for meeting the high heat dissipation demands of thermal management systems. However, the complex physics of two-phase flow has hindered its broader application, especially in terms of quantifying visual information. Recent advancements in machine learning vision tools have revolutionized the analysis of phase change phenomena by enabling the digitalization of physically meaningful features such as void fraction, vapor-liquid interfacial behaviors, and liquid-solid wall wetting front areas en masse. In this study, we systematically investigate two-phase models that compute void fractions, heat transfer coefficients, and critical heat flux using live bubble data streams under …

L-Pbf High-Throughput Data Pipeline Approach For Multi-Modal Integration, Kristen J. Hernandez, Thomas G. Ciardi, Rachel Yamamoto, Mingjian Lu, Arafath Nihar, Jayvic Cristian Jimenez, Pawan K. Tripathi, John J. Lewandowski, Roger H. French, Laura S. Bruckman

Faculty Scholarship

Metal-based additive manufacturing requires active monitoring solutions for assessing part quality. Multiple sensors and data streams, however, generate large heterogeneous data sets that are impractical for manual assessment and characterization. In this work, an automated pipeline is developed that enables feature extraction from high-speed camera video and multi-modal data analysis. The framework removes the need for manual assessment through the utilization of deep learning techniques and training models in a weakly supervised paradigm. We demonstrate this pipeline’s capability over 700,000 high-speed camera frames. The pipeline successfully extracts melt pool and spatter geometries and links them to corresponding pyrometry, radiography, and …