Digital Commons Network^™

A Mathematical Neutrosophic Offset Framework With Upside Down Logics For Quality Evaluation Of Multi-Sensor Intelligent Vehicle Environment Perception Systems, Qingde Li, Xiangheng Kong

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Reflexive Disruption Evolutionary Integral Model For Evaluating The Quality Of University Online Education Interactive Platforms Under Teaching Resource Integration, Jingjie Li, Xiaoying Zhu

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 87,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Communicating Wastewater-Based Surveillance Data To Drive Action, Kata Farkas, Devrim Kaya, Rasha Maal-Bared, Ahmad I. Al-Mustapha, Sarmila Tandukar, Ishi Keenum, Teemu Gunnar, Aaron Bivins, Matthew J Wade, Kyle Bibby, Tarja M. Pitkänen, Ananda Tiwari

Michigan Tech Publications

As exemplified during the COVID-19 pandemic, wastewater-based surveillance (WBS) can deliver near real-time, population-level pathogen data to guide public health action. Its impact, however, hinges on timely, transparent, and context-specific communication to stakeholders, including health authorities, policymakers, scientists, clinicians, and the public. This review examines current WBS communication practices, identifies persistent challenges, and proposes strategies to enhance relevance. Key challenges include data complexity, lack of standardised communication frameworks, ethical and privacy concerns, and variable stakeholder capabilities. The strategic use of digital platforms, such as dashboards, reports, press releases, and social media, alongside traditional media, can broaden reach and aid interpretation. …

Comprehensive Review Of In Vitro Approaches For Environmental Heavy Metal Exposure, Manas Warke, Madeline English, Camila Padilla, Lexie Gasco, Wendy Leisner, Rupali Datta, Smitha Rao

Michigan Tech Publications

Heavy metals are ubiquitous environmental pollutants, contaminating air, soil, and water via the erosion of natural deposits, as well as originating from anthropogenic sources, such as agriculture, industries, transportation, and landfills. The increasing utilization of heavy metals over the years, combined with the persistent nature of metals in the environment poses a direct threat to human and environment health. Although regulatory limits have been established for toxic metals, assessing the associated health risks using real-life exposure scenarios remains challenging. In this review, we summarize the development and use of in vitro models based two- and three-dimensional cell culture systems, focusing …

Nanostructured Zinc Stannate Perovskite Films Synthesized Via Molten Salt Modified-Solvothermal Method For Enhanced Piezoelectric Properties, Christopher Munoz, Alyssah Fuentes, Christian Alaniz, Tarik Dickens, Mohammed Jasim Uddin

School of Integrative Biological & Chemical Sciences Faculty Publications

Three dimensional (3D) piezoelectric zinc stannate (ZnSnO3) nanoweb arrays are synthesized using a molten salt modified solvothermal method and deposited in PDMS films for electrochemical analysis of its piezoelectric response. This work is a preliminary assessment of comparative piezoelectric efficacy influenced by changes in synthesis, effecting dimension and particle size. Advantages of hydrothermal, molten salt, and solvothermal synthesis methods were leveraged to facilitate several chemical and surface engineering techniques to enhance piezoelectric properties by increasing the surface area of zinc stannate nanoparticles. The combination of these treatments reduce the size of zinc stannate to approximately ∼40nm-80nm weblike networks. Scanning …

Durability Of Tannin-Citric Acid Modified Scots Pine Against Weathering And Fungal Exposures, Sheikh Ali Ahmed, Gianluca Tondi, Reza Hosseinpourpia

Michigan Tech Publications

Wood modification is essential to enhance the performance and longevity of wood as a material while maintaining its natural and sustainable characteristics. By modifying wood, its properties can be significantly improved without the need for toxic preservatives. Thus bio-based wood modification is vital for enhancing wood properties sustainably, reducing environmental impact, and meeting the demand for eco-friendly, non-toxic, and renewable material solutions. In this study, bio-based formulae were used on pine sapwood for enhanced decay and weathering resistance. Quebracho tannin solutions (20 %) with different concentrations of citric acid (CA) as a cross-linker were prepared and then vacuum-pressure impregnated in Scots …

Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar

Faculty Research, Scholarly, and Creative Activity

Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …

Nonlinear Diffusion, Hydrodynamic Cascades And Jamming In Kinetically Constrained Systems: Insights From Lattice Gas Models, Abhishek Raj

Dissertations, Theses, and Capstone Projects

This dissertation investigates non-linear diffusion processes and emergent dynamical phenomena in kinetically constrained lattice gases. Two central models are considered: a one-dimensional lattice gas exhibiting a diffusion cascade triggered by hydrodynamic nonlinearities and a triangular ladder exclusion model that undergoes a jamming transition. The former demonstrates stretched exponential decay consistent with non-perturbative long-time tails, while the latter illustrates how classical-quantum mappings yield insight into glassy dynamics and mobility constraints. Through a combination of numerical simulations, analytical perturbation theory, and mean-field approximations, the work uncovers mechanisms underlying anomalous transport, jamming transitions, and the breakdown of perturbative hydrodynamics.

Reinforcement Learning Based Resource Management In Edge Systems, Motahare Mounesan

Dissertations, Theses, and Capstone Projects

Modern end-user applications that are highly compute- and data-intensive, while being extremely latency- and accuracy-sensitive, are increasingly reliant on distributed computing. This paradigm spans a range of architectures, from cloud computing to in-device processing. Cloud computing, though scalable, often incurs high latency and cost, constraints that are particularly problematic for time-sensitive applications. In contrast, in-device computing on end or IoT devices is limited by resource constraints, making it inadequate for many complex workloads. Edge computing presents a compelling alternative by bringing computation closer to data sources, thereby reducing end-to-end latency and improving responsiveness. However, the inherent decentralized and dynamic nature …

Assessing The Effectiveness Of Crawlers And Large Language Models In Detecting Adversarial Hidden Link Threats In Meta Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

In the emerging field of Meta Computing, where data collection and integration are essential components, the threat of adversary hidden link attacks poses a significant challenge to web crawlers. In this paper, we investigate the influence of these attacks on data collection by web crawlers, which famously elude conventional detection techniques using large language models (LLMs). Empirically, we find some vulnerabilities in the current crawler mechanisms and large language model detection, especially in code inspection, and propose enhancements that will help mitigate these weaknesses. Our assessment of real-world web pages reveals the prevalence and impact of adversary hidden link attacks, …

September 2025, Office Of Research

Research Update

No abstract provided.

Gw250114: Testing Hawking’S Area Law And The Kerr Nature Of Black Holes, Jaclyn (Jax) Sanders, Ligo-Virgo-Kagra (Lvk)

Physics Faculty Research and Publications

The gravitational-wave signal GW250114 was observed by the two LIGO detectors with a network matched-filter signal-to-noise ratio of 80. The signal was emitted by the coalescence of two black holes with near-equal masses 𝑚1=33.6^+1.2 _−0.8⁢𝑀⊙ and 𝑚2=32.2^+0.8 _−1.3⁢𝑀⊙, and small spins 𝜒1,2≤0.26 (90% credibility) and negligible eccentricity 𝑒⁢≤0.03. Postmerger data excluding the peak region are consistent with the dominant quadrupolar (ℓ=|𝑚|=2) mode of a Kerr black hole and its first overtone. We constrain the modes’ frequencies to ±30% of the Kerr spectrum, providing a test of the remnant’s Kerr nature. We also examine Hawking’s area law, …

Underrepresentation Of African American Women Superintendents In The Public Schools Of Texas: Descriptions Of Their Lived Experiences, Shani R. Wyllie

Electronic Theses and Dissertations

The problem addressed through this study was the underrepresentation of African American women superintendents in the public-school districts of Texas, despite women making up a majority of the public-school workforce. The purpose of this transcendental phenomenological study was to describe the lived experiences of African American women superintendents regarding the support and barriers they encountered as they navigated their journeys to the position of public school district superintendent in Texas. The study was grounded in the Black feminist thought framework. Five semistructured interviews were conducted with currently serving African American women superintendents in Texas. The participants had been in the …

A “Re-Imagining The Economic Value Of Nursing” Summit Summary And Recommendations, Olga Yakusheva, Marianne E. Weiss, Tanya Mulvey, Anabel F. Castillo, Marcela Campoli

College of Nursing Faculty Research and Publications

In April 2024, the ANA Enterprise sponsored a “Re-imagining the Economic Value of Nursing” Summit to move the conversation forward on recognizing and leveraging the economic value of nursing within organizations across the US healthcare system. Invited participants engaged in a spirited dialogue about reconceptualizing nurses as critical assets in generating value within the production and financial dynamics of contemporary healthcare systems. This article summarizes the discussion and recommendations emerging from the summit.

In healthcare organizations and systems, nurse executives are the bridge between the production of patient care by the nursing workforce and the organizational financial performance. Historically, nursing …

Trump Epa’S Proposed Revocation Of Greenhouse Gas Endangerment Finding Raises Tangle Of Legal Issues, Michael B. Gerrard

Faculty Scholarship

On July 29, 2025, at an auto dealership in Indiana, Lee Zeldin, Administrator of the U.S. Environmental Protection Agency (EPA), announced a proposal to withdraw the Endangerment Finding for greenhouse gases (GHGs), which has been EPA’s legal basis for using the Clean Air Act to fight climate change. This action, which will surely be fought in court once it becomes final, raises a host of legal issues. This article discusses the legal basis for and significance of the Endangerment Finding; Zeldin’s principal arguments for revoking it, and challenges that will be raised to them; the range of possible outcomes in …

Improved Triboelectric Nanogenerator By As-Prepared Lithium Niobate For Energy Harvesting And Sensing Applications, Jahid Inam Chowdhury, Md. Wasikur Rahman, Md Arafat Hossain, Nicholas Dimakis, Mohammed Jasim Uddin

School of Integrative Biological & Chemical Sciences Faculty Publications

Triboelectric nanogenerators (TENGs) have garnered significant research interest due to their ability to harvest mechanical energy efficiently. In this study, we report a TENG composed of polydimethylsiloxane (PDMS) and polyvinyl alcohol (PVA) as triboelectric layers. To enhance charge generation in the PDMS composite polymer, we incorporated lithium niobate (LiNbO3) nanoparticles, leveraging their piezoelectric and ferroelectric properties. The LiNbO3 nanoparticles were synthesized using a solid-state reaction method, resulting in two distinct phases: triclinic LiNbO3 and monoclinic LiNb3O8. Various weight percentages of LiNbO3 and LiNb3O8 nanoparticles were added to the PDMS matrix to optimize power generation. The maximum open-circuit voltage (VOC) and …

Precise Mapping Of A Snake Venom Phospholipase A2 Interaction With A Human Nicotinic Acetylcholine Receptor, Ying Jia, Christine Vega, Anthony Hinojosa, Jocelyn Perales

School of Integrative Biological & Chemical Sciences Faculty Publications

The identification of selective molecules that interact with specific human nicotinic acetylcholine receptor (nAChR) subtypes is essential for elucidating their structure and function. Animal venoms, particularly snake venoms, offer a diverse repertoire of bioactive molecules that may selectively bind to human nAChR subtypes. In this study, we cloned transcripts encoding human nAChR subunits and successfully expressed their extracellular domains (ECDs) in yeast cells. We further examined the interactions between nAChR subunits and snake venom toxins, identifying that snake Asp49-phospholipase A2 (Asp49-1) strongly interacts with the human β2 and β4 subunits while exhibiting weaker interactions with α subunits. To delineate the …

A Settlement By “Any Other Name”: Evaluating The Sustainability Of Settlement Mechanisms, Dorcas Quek Anderson

Research Collection Yong Pung How School Of Law

Private settlements have been consistently encouraged by the Singapore civil justice system. Depending on the context, the settlement may take on many forms, including consent orders and settlement agreements. This begs the question of whether the exact form of settlement matters, or whether a settlement “by any other name” suffices. This article proposes the concept of “sustainable settlements” – comprising the measures of ease of enforcement, finality, and confidentiality – to holistically appraise the effectiveness of settlement mechanisms. The assessment of six settlement mechanisms using these measures clearly indicates that not every mechanism is equally sustainable. Exploring settlement amidst the …

Organization Research As An Applied Science: Lessons From Fields That Shape Practice And Policy, Stephen X. Zhang, Gokhan Ertug

Research Collection Lee Kong Chian School Of Business

As an applied science, our field aims to improve organizational effectiveness and solve practical problems (Hideg, DeCelles & Tihanyi, 2020; Pfeffer & Fong. 2002; Pillutla & Thau, 2013). However, despite the increasing sophistication in methods and greater emphasis on theory in recent decades, we have not made commensurate strides in relevance and impact. As we see it, the heart of this challenge is the culture in our field that demands novel theoretical advancement from every paper (Aguinis & Cronin, 2022), which may inadvertently constrain our ability to address pressing organizational challenges. Previous appeals to enhance our impact as an applied …

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization, Marco Mangano, Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Andrew Ning, Joaquim R. R. A. Martins

Faculty Publications

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor.We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass trade-offs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque …

Botulinum Neurotoxin Light Chain/A1 Uses Fast Synaptic Vesicle Cycling To Cleave Plasma Membrane Bound Snap-25, Alexander Gardner, Molly Sneller, William H. Tepp, Joseph T. Barbieri, Sabine Pellett

College of Nursing Faculty Research and Publications

Botulinum neurotoxins (BoNT) are the most potent protein toxins for humans, yet how BoNT-Light Chain/A1 (LC/A1) journeys to cleave intracellular SNAP-25 is understudied. Here we use a cell-based assay to measure cytosolic EGFP-LC/A1 intracellular trafficking and SNAP-25 cleavage in Neuro-2A cells. Intracellular LC/A1 associated on microtubules and co-localized with Rab GTPases involved in fast synaptic vesicles and endosome recycling. Multiple Dominant Negative (DN) Rabs GTPases involved in fast synaptic vesicles or endosome recycling inhibited LC/A1 trafficking to the intracellular plasma membrane and SNAP-25 cleavage. A cytosolic LC/A1 variant that bound the plasma membrane from the cytosol was insensitive to DNRab …

Neurologists' Perspectives On Sudep Communication: A Comparative Study Across Five European Countries, Rohit Shankar

Peninsula Medical School

Objectives: The leading cause of epilepsy mortality is Sudden unexpected death in epilepsy (SUDEP). National and international guidelines recommend that people with epilepsy are counseled on SUDEP risk at the point of diagnosis or at the earliest opportunity. This study compares neurologist views from five European countries on attitudes and relevance of SUDEP communication. Methods: A cross-sectional online survey of 17 Likert questions using validated themes was circulated via different ILAE and/or equivalent organizations using a non-discriminatory exponential snowballing technique, leading to a non-probability sampling. Data were analyzed using descriptive statistics, Kruskal–Wallis, Chi-square, and Fisher's exact tests. Significance was accepted …

Habit And The Potential For Actor Training With Immersive And Virtual Production Technology, John Matthews

School of Art, Design and Architecture

The advance of immersive and virtual technologies draws into starker contrast the analogue modalities of dominant approaches to actor training and makes more visible certain of their dynamics, which are analysed here using a philosophical framework of habit and habitus as propositionally causative. This technology is disruptive to habit and habitus in actor training and signifies potential to experiment with these dynamics to address extant problems in actor training. Problems in training habitus discussed here derive from trainers’ habits but arise primarily for trainees, and especially so for certain groups. I use Lazlo Pearlman and Deirdre McLaughlin’s critique of the …

A Comprehensive Review On The Recovery Of Lithium From Lithium-Ion Batteries And Spodumene, Asad Ali, Sadia Afrin, Abdul Hannan Asif, Yasir Arafat, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

The growing demand for Lithium-Ion batteries (LIBs) for use within varied electronics and electric vehicles (EVs) has raised concerns about the sustainability of lithium extraction from natural deposits. This study provides a comprehensive comparison of lithium recovery through mining of spodumene deposits, and the recovery of lithium from used batteries via recycling, in terms of technological, economic and environmental impacts. Lithium recovered through mining and refining operations prompt significant land disruption and soil contamination and possess large ecological, water and carbon footprints. Contrastingly, lithium recovered through battery recycling undergoes successive heat and chemical treatments, leading to waste minimisation and a …

Design Of Robust Adaptive Nonlinear Backstepping Controller Enhanced By Deep Deterministic Policy Gradient Algorithm For Efficient Power Converter Regulation, Seyyed Morteza Ghamari, Asma Aziz, Mehrdad Ghahramani

Research outputs 2022 to 2026

Power converters play an important role in incorporating renewable energy sources into power systems. Among different converter designs, Buck and Boost converters are popular, as they use fewer components and deliver cost savings and high efficiency. However, Boost converters are known as non–minimum phase systems, imposing harder constraints for designing a robust converter. Developing an efficient controller for these topologies can be difficult since they exhibit nonlinearity and distortion in high frequency modes. The Lyapunov-based Adaptive Backstepping Control (ABSC) technology is used to regulate suitable outputs for these structures. This approach is an updated version of the technique that uses …

Renewable-Based Isolated Power Systems: A Review Of Scalability, Reliability, And Uncertainty Modeling, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Hamid Soleimani, Asma Aziz

Research outputs 2022 to 2026

Electric power systems are increasingly becoming more decentralized. Many communities depend on isolated power systems that operate independently of the main grid. Remote, islanded, and isolated systems face challenges due to the intermittency and unpredictability of renewable energy sources. This paper reviews the current status of renewable integration and control in stand-alone power systems. It examines techniques to enhance system reliability through energy storage, hybrid systems, and advanced predictive models. Additionally, the issues related to connecting stand-alone systems, focusing on reliability and renewable penetration, are discussed. The scalability of stand-alone power systems is analyzed based on classifications of small-, medium-, …

Characterization Of A Mouse Model Of Osteoarticular Infection Using Clinical Isolates Of Staphylococcus Aureus, Philip M Roper, Jessica Beetner, Jennifer L Davis, Christine Shao, Jason Zhang, Linda Cox, Nitin Kumar Pokhrel, James E Cassat, Javier Rangel-Moreno, Gowrishankar Muthukrishnan, Deborah J Veis

2020-Current year OA Pubs

Osteoarticular infection, most commonly due to

Using Machine Learning Methods To Evaluate Undergraduates’ Executive Function In The Context Of Game-Based Measurement, Ming Chen

Dissertations, Theses, and Capstone Projects

Traditional performance-based measurements have faced criticism due to their potential to induce test fatigue and their limited ecological validity. In contrast, game-based assessments have demonstrated the capacity to engage participants effectively in tests and enhance ecological validity by replicating real-world scenarios. Nevertheless, conventional statistical approaches may prove insufficient in capturing the intricate, non-linear associations between participants' gaming performance and their cognitive capabilities. Leveraging the potential of machine learning (ML) techniques, which can model complex problems, offers a promising avenue for estimating students' performance in video games. This dissertation aims to explore various ML methods for the validation of three game-based …

Imagined Empires: Roman And Chinese Constructions Of One Another In Antiquity, Elizabeth S. Tsang

Dissertations, Theses, and Capstone Projects

This thesis examines how the Roman and Han Chinese empires conceptualized one another during the first centuries CE, despite never establishing sustained direct contact. It argues that mutual perceptions were shaped less by firsthand experience than by mediated reports, commodities, and the political interests of intermediaries. The study proceeds in four parts. The first explores how Roman authors employed the ethnonym Seres to frame China as a land of wonder, wealth, and alterity. The second analyzes the Chinese designation Da Qin, showing how it projected Han imperial ideals outward by casting Rome as a mirror-image polity. The third turns to …