Digital Commons Network^™

Thermophilic Microorganisms For Bioremediation Of Industrial Pollutants Including Hydrocarbons And Heavy Metals, Isha Dharsandia, Narendra Kumar, Ananya Tiwari, Amit K. Jaiswal

Research Outputs: 2025-Present

Industrialization and urbanization have led to the constant discharge of hazardous pollutants such as effluents, hydrocarbons, and heavy metals, which pose a grave threat to ecological balance and human beings' well-being. Traditional physiochemical techniques for the treatment of environmental pollutants are energy-intensive, expensive, and inefficient in extreme environments. Hence, there is a need to explore alternative strategies to address the above problems. Thermophiles are microorganisms that grow in high temperatures, and they have recently been regarded as viable sources for bioremediation due to their metabolic resilience, enzyme stability, and resistance to industrial conditions. The current paper presents an in-depth literature …

Investigation Of Different Aeration Strategies For The Production Of Kombucha With Defined Co-Cultures, Marie Ludszuweit, Leon Bender, Gayatri Mehta, Martin Hageböck, Brian Gibson, Martin Senz

Research Outputs: 2025-Present

Kombucha fermentation is a complex process influenced by many different process parameters and the dynamics of the microorganisms present. Since no universally established standards exist for large-scale production of kombucha, manufacturers still need to acquire the knowledge to establish controllable and reproducible processes. The aim of this study was to investigate the extent to which the kombucha fermentation process can be influenced by varying the oxygenation regime and the initial pH value. For this purpose, co-culture fermentations with the yeast Zygosaccharomyces bailii and the acetic acid bacterium Komagataeibacter hansenii were carried out under defined conditions, varying the type and intensity …

Biogenic Chitosan-Encapsulated Cu/Zno Nanocomposite Surface Coating Inhibits Mdr Pseudomonas Aeruginosa Biofilm Establishment On Orthopedic Implants, Bushra Uzair, Zukhra Abbasi, Fehmida Fasim, Shoaib Alam, Apori Samuel Obeng, Furong Tian

Research Outputs: 2025-Present

Orthopedic implant-associated infections (IAIs), predominantly caused by Pseudomonas aeruginosa, represent a major clinical challenge due to antibiotic resistance and biofilm formation, which together contribute to their chronic nature. This research presents a biogenic biofilm-resistant chitosan encapsulated Cu/ZnO nanocoating (CS-Cu/ZnO NC) synthesized using Euphorbia thymofolia metabolites and applied on orthopedic implant surface (Tubular bone locked stainless steel plates). The synthesized CS-Cu/ZnO NCs were characterized physicochemically (UV–Vis, FTIR, XRD, SEM) and biologically (antibacterial, antibiofilm, antivirulence, hemolysis and cytotoxicity). Microstructural analysis using UV–Visible Spectroscopy (UV–Vis), X-ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy (SEM) confirmed the successful synthesis, crystallinity …

Between Guidelines And Guilt: Parenting Through The Chaos Of Screen-Time Discourse, Stephanie C. Milford

Research outputs 2022 to 2026

Digital parenting today is shaped by shifting guidelines, moralised discourse, and often unstable institutional advice, leaving families navigating uncertainty without meaningful support. Drawing on governmentality theory and media studies, this piece examines how screentime discourse can position parents as primarily responsible for risks that are in part, produced by systems outside the home. Using the Australian policy reversal on YouTube as a case study, it highlights how inconsistent guidance can erode parental confidence and at times sustain cycles of shame and surveillance. Rather than consistently addressing structural factors such as platform design and algorithmic amplification, media and policy narratives displace …

Praxis: The Missing Theory To Practice Link In Maximising Early Childhood Science Opportunities, Pauline Roberts, Patricia R. Collins

Research outputs 2022 to 2026

Science teaching in early years contexts has been identified as deficient due to poor educator confidence, lack of content knowledge, or minimal opportunities being made available for science experiences. To identify strategies to counteract these factors, this study explored how these deficiencies are enacted in learning contexts by examining the beliefs and practices of educators across three early learning sites. The focus of this study was threefold: to gather the perception of educators in relation to early childhood science; explore the learning environments; and observe the interactions facilitated by the educators to develop scientific knowledge and skills for young children. …

Generative Artificial Intelligence (Genai) In Procurement And Supply Chain Management: Applications, Opportunities And Challenges, Vinay Singh, Laurie Hughes, Mousa Ahmed Albashrawi, Il Jeon, Yogesh K. Dwivedi

Research outputs 2022 to 2026

Purpose: This article aims to explore the transformative potential of generative artificial intelligence (GenAI) in procurement and supply chain management (SCM), with a focus on its practical applications, strategic implications and integration challenges. Design/methodology/approach: Adopting a conceptual approach, this article presents the authors’ views and arguments, supported by a review of existing literature and informed by insights from discussions with industry experts. The discussion in this conceptual article is anchored in the supply chain operations reference model. Findings: This research addresses critical questions regarding the practical and strategic impacts of GenAI, emphasizing its ability to simulate scenarios, deliver real-time insights …

Enhancing Physical Performance With Ischemic Preconditioning: A Systematic Review And Meta-Analysis Of Moderators And Performance Outcomes, Yilin Zhang, Kai Xu, Hao Kong, Mingyue Yin, Chenghao Liu, Yun Xie, Liam Kilduff, Gustavo R. Mota, Olivier Girard

Research outputs 2022 to 2026

This study examined the effects of ischemic preconditioning (IPC) on physical performance, considering the influence of timing, warm-up (WU), participant characteristics, and IPC protocols structure. A total of 90 trials (1,439 participants) were retrieved from three databases and assessed using PICOS criteria. Multilevel meta-analyses with cluster-robust variance adjustments were conducted to calculate pooled effect sizes (Hedge’s g). Risk of bias and certainty of evidence were assessed using the RoB 2 tool and GRADE framework. IPC produced a trivial but significant improvement in physical performance (g = 0.13, P < 0.01), which persisted after excluding SHAM effects (g = 0.10; P < 0.01). Significant improvements were observed for maximum repetitions, time to failure, and power output, but not for jump ability, strength, or oxygen uptake. Comparable benefits were found for anaerobic (g = 0.15) and aerobic (g = 0.10) exercise, with greater effects in males and less-trained participants. Performance was further enhanced when IPC was followed by WU (g = 0.16), with the optimal IPC-to-WU interval being ~42 minutes. Without WU, the effective IPC window narrowed to 6–7 minutes. In practice, IPC can enhance physical performance, independently of sham effects, moderated by sex, training level, and WU. For competition or testing, the most effective strategy appears to be 3 or 4 × 5-min IPC protocol, followed by a 42-min interval, standardized warm-up, and endurance testing. For mechanistic studies, WU should be excluded, and testing conducted 6-7 minutes post-IPC. Future research should target women, middle-aged individuals, and elite athletes.

Refuelling Behaviour And Electric Vehicle Uptake: Evidence From A Behavioural Transition Framework In Western Australia, Navid Hashemi Taba, Khatavakhotan

Research outputs 2022 to 2026

This study examined how refuelling routines, price responsiveness and discount expectations relate to readiness to replace a conventional petrol vehicle with an electric vehicle in Western Australia. A structured survey of nonelectric vehicle owners was administered in Perth (n = 442; conventional petrol n = 408; hybrid n = 34). Protocol-based cleaning and distributional diagnostics guided nonparametric inference and segmentation. Refuelling frequency comparisons between conventional and hybrid vehicle owners indicated higher visit frequency and monthly consumption among the former (monthly consumption: median 150 L vs. 92 L; U = 6963.5, z = 4.48, p < 0.001), whereas within conventional vehicle owners, no significant association was observed between monthly consumption and stated willingness to adopt an electric vehicle (U = 6633.0, p = 0.671). Expected petrol price discounts were tightly centred (median 10%; interquartile range 5%–15%), yet cluster analysis revealed a distinct segment combining high discount expectations (≈22%) and higher monthly consumption (∼211 L). Correlation between consumption and discount expectations was negligible (r ≈ 0.03, p > 0.05). These findings suggest that adoption-related …

Thermoregulation And Associated Disorders: 3pm-Guided Holistic Approach Bridging Innovative And Traditional Chinese Medicine, Zhuo Wang, Liu, Yueqiang Xu, Weijie Cao, Youxin Wang, Haifeng Hou, Xiuhua Guo, Olga Golubnitschaja, Wei Wang, Yuguang Du, Suboptimal Health Study Consortium, European Association For Predictive, Preventive, Personalised Medicine

Research outputs 2022 to 2026

Accurately performed thermoregulation is life-important for the human body. Therefore, a relatively narrow temperature range of 36.5–37 °C, which all our biochemical reactions are adapted to, is rigorously kept by the body allowing for the most effective kinetics of all physiological processes. In contrast, feeling inappropriately cold or too hot in the environment with comfortable temperature ranges are symptoms of an altered or even disordered thermoregulation described for a number of syndromes as well as patient cohorts. The rationale of the paper is to contribute to the paradigm shift from reactive to proactive healthcare considering thermoregulation deficits as an important …

Investment Law, Justice, And Sustainable Development, Frank Emmert, Begaiym Esenkulova

GHEA21 Open Educational Resources

This book is focused on international investment law, justice, and sustainable development. It is intended as a study and research resource for anyone interested in investment law and investor-state dispute settlement (ISDS). It is widely recognized that states receiving foreign direct investment (FDI) often greatly benefit from it, as FDI is one of the driving forces of economic development. Nevertheless, FDI can also cause environmental harm, social unrest, a ‘race-to-the-bottom’ in regulatory standards as well as other negative consequences, if not properly regulated. As FDI may have a double-edged impact, both positive and negative, it is important for states not …

Immigration Judges: The Unfortunate Bellwether For Declining Federal Public-Sector Labor Rights, Hon. Mimi Tsankov

California Western International Law Journal

No abstract provided.

First Displaced Vertex Search For Electroproduced Dark-Sector Strongly Interacting Massive Particles By The Hps Experiment, P. H. Adrian, N. A. Baltzell, M. Battaglieri, M. Bondí, S. Boyarinov, C. Bravo, S. Bueltmann, P. Butti, V. D. Burkert, D. Calvo, T. Cao, M. Carpinelli, A. Celentano, G. Charles, L. Colaneri, W. Cooper, B. Crowe, C. Cuevas, A. D' Angelo, N. Dashyan, M. De Napoli, R. De Vita, A. Deur, M. Diamond, R. Dupre, H. Egiyan, T. Eichlersmith, L. Elouadrhiri, R. Essig, V. Fadeyev, C. Field, A. Filippi, A. Freyberger, S. Gaiser, M. Garçon, N. Gevorgyan, F. X. Girod, N. Graf, M. Graham, K. A. Griffioen, A. Grillo, M. Guidal, R. Herbst, M. Holtrop, J. Jaros, R. P. Johnson, G. Kalicy, M. Khandaker, V. Kubarovsky, E. Leonora, K. Livingston, L. Marsicano, T. Maruyama, S. Mccarty, J. Mccormick, B. Mckinnon, K. Moffeit, O. Moreno, C. Munoz Camacho, T. Nelson, S. Niccolai, A. Odian, R. O'Dwyer, M. Oriunno, M. Osipenko, R. Paremuzyan, S. Paul, E. Peets, N. Randazzo, B. Raydo, B. Reese, A. Rizzo, P. Schuster, Y. G. Sharabian, G. Simi, A. Simonyan, V. Sipala, A. Spellman, D. Sokhan, M. Solt, S. Stepanyan, H. Szumila-Vance, L. Tompkins, N. Toro, S. Uemura, M. Ungaro, H. Voskanyan, L. B. Weinstein, B. Wojtsekhowski

Physics Faculty Publications

The Heavy Photon Search experiment (HPS) is a fixed-target, electron beam experiment designed to search for 𝑒⁺⁢𝑒⁻ mass resonances and displaced decays using a forward acceptance spectrometer. This paper details the search for naturally long-lived “dark” vector mesons (𝑉_𝐷) arising from a dark sector of beyond-Standard-Model strongly interacting massive particles, characterized by a QCD-like 𝑆⁢𝑈⁢(3)_𝐷 symmetry and coupled to the Standard Model photon via a new 𝑈⁢(1)𝐷 gauge interaction mediated by the “heavy photon,” or 𝐴′. The results are based on an integrated luminosity of 10 608  nb⁻¹ collected during the 2016 HPS …

Critical Success Factors For An Effective Security Risk Management Program: An Exploratory Case Study, Jason A. Williams, Humayun Zafar, Saurabh Gupta

Faculty Articles

This paper evaluates the perceived effectiveness of the security risk management (SRM) programs at a Fortune 500 firm. Layers of management and staff participated in the study. Perceived effectiveness of their SRM programs was based on nine critical success factors (CSFs). Interviews confirmed six initial CSFs (Executive Management Support, Organizational Maturity, Open Communication, Risk Management Stakeholders, Team Member Empowerment, and Holistic View of an Organization) that were extracted from the literature. They were confirmed and synthesized with three additional CSFs (Security Maintenance, Corporate Security Strategy, and Human Resource Development). Implications for SRM are discussed.

K-Long Facility At Jlab, Moskov Amaryan

Physics Faculty Publications

In this talk I present the outline of K-long Facility (KLF) at JLab [1]. It was approved by PAC48 in 2020 to run for 200 days of beamtime, equally divided between liquid hydrogen and deuterium targets, to measure dozens of hyperon states predicted by CQM and LQCD but not yet established. This facility also will allow to measure Kπ scattering in different channels to observe the so-called ᴷ scalar meson and measure its width and position with unprecedented accuracy. Finally, it will be shown that exotic baryons can be measured at this facility in formation reactions with a two-body final …

Ai-Enabled Digital Twins And Optimization Workflows For Accelerator Control, M. Yadav, A. Seryi, B. Terzic, J. Bird, J. Delayen, K. Makino, K. Ahmed, L. Van Riesen-Haupt, Q. Su, S. De Silva, S. Hossain, T. Griffin, T. Satogata

Physics Faculty Publications

We propose to develop advanced ML models, such as physics informed neural network (PINN) based surrogate models, to accurately represent accelerator phase space transport. These surrogate models will enable precise diagnosis and prediction of beam phase space evolution along the beamline, facilitating real-time control and optimization. The developed models will be tested using the Upgraded Injector Test Facility (UITF) at Thomas Jefferson National Accelerator Facility (JLab), providing a pathway toward ML-driven enhanced diagnostics and beamline control in operational accelerator environments. The primary aim will be to facilitate this by developing machine learning models that outperform traditional simulations in speed and …

Regulating Crisis Pregnancy Centers After Nifla And Dobbs: Controversies Over When Government Is Imposing An Orthodoxy About Abortion, Linda C. Mcclain

Faculty Scholarship

How does this broader sense of Barnette’s proscription of government from imposing “what shall be orthodox” implicate governmental restrictions on reproductive autonomy? Battles over reproductive freedom centrally implicate objections that government is unconstitutionally imposing a gender orthodoxy. Arguments for a right of personal autonomy embodying an antitotalitarian principle of liberty are arguments for a right to resist governmental imposition of an orthodoxy— for example, an idea about the natural or traditional role of women as mothers together with a view about how best to respect the sanctity of life. Rights to reproductive autonomy, grounded in personal autonomy and equality, …

Digital Colonialism In Ai-Enhanced Sustainability Education: A Decolonial Systematic Review, Matthew Sauber

Faculty Scholarship 2026

As artificial intelligence reshapes higher education globally, its integration into sustainability programs raises urgent questions about equity, epistemological justice, and the reproduction of colonial power structures through technological systems. Education for Sustainable Development (ESD) is premised on inclusive, justice-oriented pedagogy, yet the AI tools increasingly deployed in these programs originate predominantly from the Global North and embed Western epistemological assumptions. This study investigates how AI integration in higher education sustainability programs operates as a form of digital colonialism, creating systematic inequities that contradict ESD’s foundational commitments. We conducted a decolonial systematic review synthesizing 61 empirical studies identified through structured searches …

Taking Scale Seriously In Technology Law, Mark P. Mckenna, Woodrow Hartzog

Faculty Scholarship

Issues of scale—the relationship between the amount of an activity and its associated costs and benefits—permeate discussions around law and technologies. Indeed, it’s not much of an exaggeration to say that scale is the reason for most technology regulation.

But it’s not always clear how lawmakers and judges conceptualize “scale” when approaching questions around automated technologies. Scale is often used intuitively, just to mean “more.” But scale is not always just about more—scale can introduce new harms and benefits along different dimensions, not simply costs or efficiencies of greater magnitude.

In this Article, we argue for a more sustained interrogation …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

Corporate Law's Duty Of Data Loyalty, Andy Serwin, Neil Richards, Woodrow Hartzog, Ryan Durrie

Faculty Scholarship

Privacy law used to be a relatively tidy field, involving a few interesting but discrete topics like press disclosures of private facts, wiretapping, and the processing of personal data by internet companies. But as the digital revolution continues to disrupt area after area of human activity and software “is eating the world,” the core concerns of privacy law such as “when is it appropriate to process personal data?” have similarly entered field after field. Today, most fields of law, including discrimination law, antitrust, and international law, have found it necessary to reckon with the questions of informational harm and power …

Never Cool Enough: Legal And Policy Challenges To Keeping Data Centers And Communities Empowered In A Warming World, Cristina M. Banahan, Diana B. Wilkinson

Lewis & Clark Law Review

In a rapidly evolving world, artificial intelligence (AI) and cryptocurrency are two technologies at the forefront of the future. Although these developments promise many potential societal benefits and revenue, they come with a price. The data processing required to operate these new technologies demands a large amount of energy, using water to cool the systems and enable them to run without overheating. With such high water and energy demands, the benefits from these technological advancements come at a steep environmental cost. Despite the negative environmental impacts of these data centers, the Trump Administration continues to roll back environmental protections. The …

The Sec And Climate Litigation, Lisa Benjamin

Lewis & Clark Law Review

The controversy surrounding the SEC’s climate-related financial disclosure rule continues. This Essay updates my previous work on this issue, where I identified two opportunities and two obstacles to the SEC promulgating final rules on climate-related financial risk disclosures. The two opportunities were a shifting political landscape under the then-Biden Administration (which took a whole-of-government approach to addressing the climate crisis) and rising investor concern over the risks that climate change posed to their investments. The two obstacles I identified were business resistance to disclosure rules, and rising judicial hostility to the SEC. Today, the political landscape has shifted dramatically and …

Quo Warranto In The Aftermath Of Loper Bright, Dennis Hall

Lewis & Clark Law Review

In 2024, the Supreme Court did away with Chevron deference in Loper Bright Enterprises v. Raimondo. One previously undiscussed consequence of this decision is how it opens the door to a broader use of quo warranto corporate charter revocation. Quo warranto is a legal remedy held by the states that has fallen into relative obscurity, but it has the power to regulate large corporations that have strayed from the bounds of acceptable activity. This Comment examines the history of corporations and corporate oversight regulation in the United States, as well as the history of quo warranto as a remedy. Additionally, …

Cfd-Coupled Multi-Objective Optimization Of A Solid Oxide Electrolysis Cell Stack, Erin Webb

Theses, Dissertations and Capstones

Solid oxide electrolysis cells (SOECs) can convert steam into hydrogen with lower electrical demand than lower-temperature electrolysis technologies. Their performance depends on coupled fluid flow, heat transfer, species transport, and electrochemical behavior, which makes optimization difficult because improving one response can negatively affect another. Detailed computational fluid dynamics (CFD) can capture these interactions, but the computational cost makes trial-and-error design impractical. This thesis develops a three-dimensional model of a two-cell planar SOEC stack in ANSYS Fluent and couples it directly to a customized NSGA-II in MATLAB. Each candidate design is evaluated using the CFD model rather than a surrogate. Eight …

Robust Broadband Characterization Of Flexible Absorbers, Sheet Material, And Liquids Using A Coaxial Structure, Joseph Christopher Stecher

Masters Theses

Modern high-frequency measurement systems require reliable calibration and sample positioning to ensure measurement fidelity. This thesis presents three studies addressing practical limitations in broadband material parameter extraction and instrumentation.

The first study introduces a modified Nicolson–Ross–Weir (NRW) technique for flexible, compression-sensitive materials from 100 MHz to 18 GHz. Rigid 3D-printed spacers ensure precise sample positioning, and a T-matrix–based de-embedding procedure removes spacer effects. Validation using microstrip measurements and full-wave simulation confirms accurate permittivity extraction across compression levels.

The second study extends NRW to sheet materials enabling accurate material characterization. Independent validation using toroidal inductors with leakage correction and parallel-plate capacitors …

Empirical-Based Model Of Spatio-Temporal Errors, Godwin Naaba Ndaa

Masters Theses

This research develops an empirical model to characterize spatial-temporal InSAR errors and improve the accuracy of deformation time-series analysis. Using standardized Sentinel-1 HyP3 products and MintPy, the study quantifies how correlated noise affects velocity precision and validates the results against continuous GNSS velocities.

Residual velocities are near-Gaussian, with σ ~0.92–2.04 cm/yr and ~1 cm/yr on average. Variograms show power-law spatial structure with a non-zero nugget implicating troposphere and decorrelation while errors drop exponentially with more acquisitions; spatial uncertainty is strongly affected by unwrapping errors, coherence, and tropospheric noise, not simply troposphere.

A comparative assessment of on-demand cloud processing with other …

Assessment And Comparison Of Selected Carbon Ablation Models In Hypersonic Free-Flight And Arc-Jet Conditions, Andrew Steven Heider

Masters Theses

Accurate prediction of ablative thermal protection system (TPS) performance is critical for hypersonic vehicle design. However, numerical prediction of ablation remains challenging because results are influenced by complex physics and the choice of surface chemistry model and assumptions made in material response calculations. The objective of this work is to evaluate several carbon ablation models and their implementation within modern computational fluid dynamics (CFD) codes. Numerical simulations were performed using NASA’s LAURA flow solver and the commercial CFD code ANSYS Fluent, which coupled Navier-Stokes with surface chemistry models describing carbon oxidation, nitridation, and sublimation reactions. Several reaction sets were considered, …

Optimal Slotting In Hybrid Warehousing For Industry 4.0, Teng Yang

Masters Theses

In the era of Industry 4.0, the warehouse management system (WMS) employed by many firms prescribes hybrid storage, i.e., products with high turnover, called fast movers, are kept in random storage for a short time duration before being shifted to a dedicated storage area, while products with low turnover, called slow movers, remain in random storage. From dedicated storage, the products are dispatched to the customer. The challenge for managers is selecting the slot in dedicated storage to assign to each product while demand data change because of fluctuating market conditions; this problem is referred to as slotting in the …

Public Preferences And Trade-Offs In Critical Mineral Mining Development In The United States, Bamidele Joseph Ajiga

Masters Theses

Rising demand for battery-critical minerals has increased U.S. mining efforts, but projects often face public opposition. There is limited work on how individuals in affected regions evaluate trade-offs between economic and environmental risks.

This research applies a discrete choice experiment to examine individual preferences for proposed battery-critical minerals mining projects in Missouri, Minnesota, and Idaho. 1908 respondents evaluated hypothetical mining projects defined by jobs, state tax revenue, the proportion of tailings reprocessed, groundwater impacts, and surface water impacts, under gold and silver versus battery-critical mineral framings.

Conditional and mixed logit models were used to assess the importance of attributes, demographic …

Calcium Based Carbon Negative Fillers And Additives: Effects On Hydration And Performance Of Low-Carbon Cement Systems, Smita Bhowmick Shithi

Masters Theses

Cement production is a major source of global CO₂ emissions creating an urgent need for carbon-negative fillers and functional additives that lower clinker use while maintaining cement performance. This thesis investigates the effects of organic mineral salts as fillers and additives on cement hydration, fresh properties, compressive strength and pore structure. In the first study, ordinary Portland cement (OPC) was partially replaced with calcium carbonate or calcium oxalate to enable a direct comparison under controlled particle size distribution (PSD). Rheology, flowability, hydration kinetics, phase evolution, mechanical performance and water absorption were evaluated. Calcium carbonate promoted early hydration through nucleation and …