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Report 17—Revisions To The Articles Of Organization And Procedure Of The Commission On Stratigraphic Nomenclature Of The Americas, Lynn T. Dafoe, Robert B. Macnaughton, Marie-Perre Aubry, Carlton E. Brett, James R. Lehane, Fernando Núñez-Useche, Randall C. Orndorff, Frank Brunton, Lucy E. Edwards, Richard H. Fluegeman, Howard Harper, Robert Matthew Joeckel, Norman P. Lasca, B. H. Tew

Conservation and Survey Division: Faculty and Staff Publications

Several revisions to the Articles of Organization and Procedure for the North American Commission on Stratigraphic Nomenclature have been adopted following the 75th, 79th, and 80th annual meetings of the Commission in 2020, 2024 and 2025, respectively. Of these, the most substantial change was revision of Article III regarding membership composition of the Commission and the addition of new member organizations from Central and South America and the Caribbean region. As a result, the Commission also voted to change its name to be more inclusive of the expanding membership, with approval of the name: Commission on Stratigraphic Nomenclature of the …

The Hypocrisy Of Data Governance, Zubair Shafiq, Olivia Figueira, Athina Markopoulou, Woodrow Hartzog, Michael Lavine

Faculty Scholarship

“Data governance” is an empty term, like a Rorschach inkblot just waiting to be filled with meaning. Tech companies take advantage of this ambiguity to craft narratives about their data-governance capabilities to fit their audience and purpose. On one hand, tech companies brag about their data-governance capabilities when it fits their business model (for example, to advertisers) and public image (for example, to their customers). On the other hand, tech companies claim that meaningful data governance is challenging or impossible when accountability is demanded.

In this Article, we argue that tech companies systematically misrepresent or selectively ignore their data-governance capabilities. …

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 …

Romanist-Bourgeois Property And The Development Of The Modern Capitalist World System, Anna Di Robilant

Faculty Scholarship

This article examines the role of Romanist-bourgeois property law in the development of the modern capitalist world system, focusing on how nineteenth-century jurists deliberately crafted and adapted Roman law-based property doctrines to address the evolving social relations of production in both Europe and its peripheries. Rather than viewing legal concepts as merely reflective of broader economic transformations, the author highlights the active role played by a professional class of jurists in shaping property law to legitimize and structure emergent capitalist class dynamics. The article critically engages with competing scholarly perspectives that either privilege market expansion or downplay class relations, arguing …

The Anti-Federalism Of Hr1, Nicole Huberfeld

Faculty Scholarship

The budget reconciliation bill signed on July 4, 2025 (“HR1”) weakened the Patient Protection and Affordable Care Act (ACA) and its core goal of near-universal health insurance coverage. To maintain 2017 tax cuts, Congress curtailed the ACA’s Medicaid eligibility expansion; simultaneously, HR1 limited the kinds of options states have been able to exercise within Medicaid while pushing the costs of deep cuts down to states. This essay argues that HR1 embodies an anti-federalism approach, and that anti-federalism is not the same as federalizing health reforms. In the past, Congress sometimes federalized health care or public health reforms to respond to …

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, …

Poincaré Invariance And The Unruh Effect, Alexandre Deur, Stanley J. Brodsky, Craig D. Roberts, Balša Terzić

Physics Faculty Publications

In quantum field theory, the vacuum is popularly considered to be a complex medium populated with virtual particle + antiparticle pairs. To an observer experiencing uniform acceleration, it is generally held that these virtual particles become real, appearing as a gas at a temperature that grows with the acceleration. This is the Unruh effect. However, it has been shown that vacuum complexity is an artifact produced by treating quantum field theory in a manner that does not manifestly enforce causality. Choosing a quantization approach that patently enforces causality, the quantum field theory vacuum is barren, bereft even of virtual particles. …

Unpolarized Gpds At Small X And Non-Zero Skewness, Yuri V. Kovchegov, M. Gabriel Santiago, Huachen Sun

Physics Faculty Publications

We study the small-x asymptotics of unpolarized generalized parton distributions (GPDs) and generalized transverse momentum distributions (GTMDs). Unlike the previous works in the literature, we consider the case of non-zero (but small) skewness while allowing for non-linear contributions to the evolution equations. We first show that unpolarized GPDs and GTMDs at small x are related to the eikonal dipole amplitude N, whose small-x evolution is given by the BK/JIMWLK evolution equations, and to the odderon amplitude 𝒪, whose evolution is also known in the literature. We then show that the effect of non-zero skewness ξ ≠ 0 is to modify …

Next-To-Next-To-Leading Power Corrections To Unpolarized Semi-Inclusive Deep Inelastic Scattering, Ian Balitsky, Alexei Prokudin

Physics Faculty Publications

Semi-Inclusive Deep Inelastic Scattering (SIDIS) is a key tool for exploring the three-dimensional structure of the nucleon through Transverse Momentum Dependent parton distributions and fragmentation functions. While leading-power contributions to the SIDIS cross-section are well established, next-to-leading power (NLP) corrections of order 1/Q and next-to-next-to-leading power (NNLP) corrections of order 1/Q²  to the hadronic tensor have only recently begun to be systematically investigated. These corrections are essential for reliable phenomenology and interpretation of modern high-precision data. In recent papers by one of the authors, NNLP corrections to the Drell-Yan process were derived using the rapidity factorization formalism. In the present …

Inverse Problem In The Large Momentum Effective Theory Framework, Herve Dutrieux, Joe Karpie, Christopher J. Monahan, Kostas Orginos, Anatoly Radyushkin, David Richards, Savvas Zafeiropoulos

Physics Faculty Publications

One proposal to compute parton distributions from first principles is the large momentum effective theory (LaMET), which requires the Fourier transform of matrix elements computed nonperturbatively. Lattice quantum chromodynamics (QCD) provides calculations of these matrix elements over a finite range of Fourier harmonics that are often noisy or unreliable in the largest computed harmonics. It has been suggested that enforcing an exponential decay of the missing harmonics helps alleviate this issue. Using nonperturbative data, we show that the uncertainty introduced by this inverse problem in a realistic setup remains significant without very restrictive assumptions, and that the importance of the …

Reaching The Intrinsic Performance Limits Of Superconducting Nanowire Single-Photon Detectors Up To 0.1 Mm Wide, Kristen M. Parzuchowski, Eli Mueller, Bakhrom G. Oripov, Benedikt Hampel, Ravin A. Chowdhury, Sahil R. Patel, Daniel Kuznesof, Emma K. Batson, Ryan Morgenstern, Robert H. Hadfield, Varun B. Verma, Matthew D. Shaw, Jason P. Allmaras, Martina J. Stevens, Alex Gurevich, Adam N. Mccaughan

Physics Faculty Publications

Superconducting nanowire single-photon detectors combine high detection efficiency, low noise, and excellent timing resolution, making them a leading platform for photon-counting applications. However, despite decades of materials and fabrication research, detector performance has never been shown to match theoretical performance expectations. Here, we demonstrate in situ tuning of a detector from its typical, suboptimal operation, to a regime limited only by material quality, allowing the device to reach its intrinsic performance limit. Our approach is based on current-biased superconducting “rails” placed on either side of the detector that redistribute current across its width to achieve peak performance. This technique reduces …

Rf Design Progress Of The 197 Mhz Crab Cavity For Eic, B. Xiao, J. C. Brutus, A. Blednykh, Z. Conway, J. Cox, J. R. Delayen, S. U. De Silva, R. Fernandes, J. Guo, D. Holmes, N. Huque, G. Li, Z. Li, J. B. Mandel, S. Verdú-Andrés, G. Wang, Q. Wu, W. Xu

Physics Faculty Publications

The interaction region (IR) crab cavity system is a special RF system designed to compensate for the luminosity loss caused by the 25 mrad crossing angle at the interaction point (IP) of the Electron-Ion collider (EIC). The configuration includes six crab cavities in the Hadron (proton or ion) Storage Ring (HSR) - four operating at 197 MHz and two at 394 MHz - installed on each side of the IP, along with one 394 MHz crab cavity on each side of the IP in the Electron Storage Ring (ESR). This paper presents the recent progress in the RF design of …

Real-Time Neck Posture Classification Using A Lightweight Wearable Imu Pendant, Muntaser Syed, Alfred Sjöqvist, Noah Sedlik, Tsing Liu

Electrical Engineering and Computer Science Student Publications

Poor neck posture during prolonged device use contributes to musculoskeletal disorders affecting millions worldwide. Existing posture monitoring solutions rely on camera-based systems or complex multi-sensor arrays, limiting their practicality for continuous daily use. We present a lightweight, chest-worn pendant using a single 6-axis IMU (accelerometer and gyroscope) for real-time classification of seven neck posture states: neutral, mild flexion, moderate flexion, severe flexion, extension, lateral tilt, and lying. Our approach employs an ensemble architecture combining bidirectional LSTM, Transformer encoder, and 1D-CNN models with learnable fusion weights. To address limited training data, we apply aggressive data augmentation (30x multiplication) including noise injection, …

Bond Behavior Of Uhpc-Nsc Interfaces For Bridge Deck Repair Under Flexural Loading, Larissa Santiago La Banca

Graduate Studies Theses and Dissertations 2026

The use of ultra-high performance concrete (UHPC) has increased due to its superior mechanical properties and strong bond with normal-strength concrete (NSC). It is widely used as a repair material, particularly in bridge decks, where maintenance remains a challenge. However, the interface between UHPC and NSC is often the weakest region of the composite system and requires careful evaluation.

This study investigates the bond behavior between UHPC and NSC using different surface preparations, test setups, and UHPC materials. The experimental program included unreinforced beams with vertical interfaces tested under three- and four-point flexural loading, and reinforced slabs with horizontal interfaces …

Experimental Characterization Of Obstacle-Driven Ddt And The Performance Of Relief Dump Tanks In Detonation Systems, Bryan Suarez

Graduate Studies Theses and Dissertations 2026

This study investigates the lifecycle of a detonation event in a modular detonation
tube facility. It focuses on the mechanisms of deflagration-to-detonation transition
(DDT) and the effectiveness of a pressure relief system. With a stoichiometric
hydrogen-oxygen mixture, the research aims to characterize the effect of
interchangeable turbulator obstacles on the DDT process. By varying blockage
ratios and obstacle geometries in the pre-detonation section. This study identifies
how physical characteristics influence transition efficiency. The experimental data
collected includes pressure spikes and wave speed which were then used to
validate against the Chapman-Jouguet (CJ) theory at initial pressures of 350 Torr
and …

Dystop: Dynamic Staleness Control And Topology Construction For Asynchronous Decentralized Federated Learning, Yizhou Shi, Qianpiao Ma, Yan Xu, Junlong Zhou, Ming Hu, Yunming Liao

Research Collection School Of Computing and Information Systems

Federated Learning (FL) has emerged as a potential distributed learning paradigm that enables model training on edge devices (i.e., workers) while preserving data privacy. However, its reliance on a centralized server leads to limited scalability. Decentralized federated learning (DFL) eliminates the dependency on a centralized server by enabling peer-to-peer model exchange. Existing DFL mechanisms mainly employ synchronous communication, which may result in training inefficiencies under heterogeneous and dynamic edge environments. Although a few recent asynchronous DFL (ADFL) mechanisms have been proposed to address these issues, they typically yield stale model aggregation and frequent model transmission, leading to degraded training performance …

Purified Zero-Shot Sketch-Based Image Retrieval, Yang Zhou, Jingru Yang, Jin Wang, Kaixiang Huang, Guodong Lu, Shengfeng He

Research Collection School Of Computing and Information Systems

Sketches, as a new solution in multimedia systems that can replace natural language, are characterized by sparse visual cues such as simple strokes that differ significantly from natural images containing complex elements such as background, foreground, and texture. This misalignment poses substantial challenges for zero-shot sketch-based image retrieval (ZS-SBIR). Prior approaches match sketches to full images and tend to overlook redundant elements in natural images, leading to model distraction and semantic ambiguity. To address this issue, we introduce a distraction-agnostic framework, purified cross-domain matching (PuXIM), which operates on a straightforward principle: masking and matching. We devise a visual-cross-linguistic (VxL) sampler …

“Well Done, My Good And Faithful Servant”: Ai-Generated Religious Imagery, White Evangelical U.S. American Christian Nationalism, And Political Martyrdom, Miriam Wolff

Faculty Publications - Communications

Following the 2025 assassination of conservative activist Charlie Kirk, social media platforms became saturated with AI-generated religious imagery framing him as a Christian martyr. This article examines how generative AI intensifies the production of sacred political meaning within white evangelical U.S. American Christian nationalist discourse. Focusing on Senator Ted Cruz's X post depicting Jesus embracing Kirk alongside the caption “Well done, My good and faithful servant,” this study employs rhetorical-iconographic analysis informed by visual rhetoric, iconography, and political theology. The analysis demonstrates how the post mobilizes familiar Christian visual conventions, scriptural language, and algorithmic circulation to frame Kirk's death as …

Higher Order Affordances For Serve Reception In Volleyball, Danilo G. Arruda, Bethany Freeman, Jeffrey B. Wagman, Thomas A. Stoffregen

Faculty Publications – Psychology

Using a head-mounted virtual reality system, we investigated the ability of skilled volleyball players to perceive virtual volleyball serves, and to use such information to control their actions in receiving serves. We compared shorter and taller groups of competitive players, and we varied the height of incoming serves. In two experiments, we found that, with very rare exceptions, participants used either an overhead or underhand technique to receive serves. Technique selection was reliably related to serve height, such that the overhead technique was used for higher serves and the underhand technique for lower serves. In Experiment 1, participants were free …

Hybridization Of Genetic Algorithm, Principal Component Analysis And Deep-Learning For Networks Intrusion Detection Systems, Mostafa A. R. Eltokhy, Hend M. A. Mahmoud, Mohammad Sammany

Trends in advanced sciences and technology

With cyber-attacks on the rise, the demand for precise and efficient Intrusion Detection Systems (IDS) is more critical than ever. Traditional machine learning methods struggle with high false alarm and poor detection rates. IDS are crucial for creating secure digital environments by classifying and responding to network intrusions. However, the large volume of inputs for classification often leads to reduced accuracy and misclassification errors. To address this problem, Principal Component Analysis (PCA) is used to optimize the number of classifier inputs, enhancing simplicity without compromising accuracy. A significant challenge in PCA for feature selection lies in determining the best cutoff …

Prediction Of Phytocompounds For Environmental Sustainability: A Framework Using Computational Tools, Ankita Halder, Sayoni Dam, Sisir Nandi, Asmita Samadder

Trends in advanced sciences and technology

In response to the abruptly elevated environmental impact caused by the usage of chemical-based synthetic compounds in agricultural fields and pharmaceutical pollution, phytocompound-based products have become the choice of use for their ability to foster environmental sustainability. The potential of new phyto-based compounds has been explored in agriculture, phytoremediation, etc. Computer-based in silico prediction through ADMETlab 2.0, SwissADME, and Way2Drug software secured an important role in screening of these phyto-based compounds in terms of lethal concentration (LC₅₀FM, LC₅₀DM), Bioconcentration Factors, IGC50, and role in the TOX21 pathway ahead of their environmental exposure. These aforementioned softwares also …

Empirical Modeling For Prediction Green-Nanofluids Stability Using Minitab Software Towards In Using As Sustainable Coolants, Basma Abdelmoniem, Azza Barakat, Nariman E. Elbaly, Abdelhay.M Abdelhay, Mohamed O. Helmy

Trends in advanced sciences and technology

This research study uses empirical modeling to predict the stability of nano-green fluids, which are designed with a full factorial experimentation design. All experiments were designed, and the analysis was performed by Minitab software. The stability of Al₂O₃/CNT-castor oil was measured by zeta potential, and Al₂O₃/ CNT-jojoba oil was measured by visual sedimentation over days. The dependent variables in each design are magnetic stirring and sonication bath times with three levels for each oil type. The resulting empirical models proved highly effective, with R-squared values exceeding 95% for all formulations. Specifically, the models for castor oil stability reached R-squared values …

Modelling And Optimization Of Solution Polymerization Of Ethylene Using Artificial Intelligence, Owolabi, R.U, Raji M.A, Usman M.A

Trends in advanced sciences and technology

This research project focuses on the modeling and optimization of the solution polymerization of ethylene, using artificial intelligence (AI) via machine learning (ML) tools specifically PYTHON programming language enabled workspaces (jupyter notebook and google colab). The objective of the research was to develop a robust empirical model capable of predicting the polymer yield and mol. wt. based on key process parameters, and to identify optimal conditions that maximize yield and mol. wt. while ensuring operational safety and efficiency.

A comprehensive dataset containing process parameters gotten from previous experimental works was used for model development while predicting missing parameters to ensure …

Chemical And Thermal Degradability Of Nano-Al2o3 And Mwcnt-Enhanced Jojoba And Castor Oils For Sustainable Machining Application, Basma Abdelmoniem, Abdelhay M. Abdelhay, Nariman E. Elbaly, Mohamed O. Helmy, Azza Barakat

Trends in advanced sciences and technology

In this work, castor and jojoba oils were used to prepare nanofluids. Medium molecular weight carbon nanotubes (MWCNTs) and 0.1 wt% Al₂O₃ were used in two process steps. Sodium dodecyl sulfate (SDS) was used as a surfactant. Single and hybrid nanoparticle systems were developed to improve homogeneity. The chemical stability and interfacial interactions of the prepared nanofluids were investigated using Fourier transform infrared spectroscopy (FT-IR). The results showed that neither alumina (Al₂O₃) nor multi-walled carbon nanotubes (MWCNTs) affected the chemical structure of the lubricant. To ensure the thermal stability of the modified oils at temperatures up …

Integrated Seismic And Sequence Stratigraphic Analysis Of The Abu Madi Formation, Baltim Field, Nile Delta, Egypt, Nouran Mostafa Eissa, Mostafa Toni, Alhussein Adham Basheer, Amr Talaat, Amir Ismail

Trends in advanced sciences and technology

Despite the economic significance of the Messinian Abu Madi Formation as a primary gas reservoir target in the Nile Delta Basin, a high-resolution, field-scale integration of seismic sequence stratigraphy with quantitative petrophysical characterization remains lacking for the Baltim area. This study addresses this gap by presenting an integrated seismic sequence stratigraphic and petrophysical analysis of the Upper Miocene Abu Madi Formation within the prolific Baltim gas fields, offshore Nile Delta, Egypt. The objectives are to characterize its depositional architecture, delineate reservoir distribution, and assess hydrocarbon potential. The workflow synthesizes well log data from five key wells with a grid of …

Enhanced Hydrophilicity And Self-Cleaning Properties Of Tio₂ Thin Films On Glass For Photovoltaic Applications: Influence Of Precursor Concentration And Light Irradiation, Fatma Refaat, Hany Hashem, Mohamed Mahmoud Gouda, Ibrahim Ahmed, Khaled Abdelwahed, Ahmed Bakr El Basaty

Trends in advanced sciences and technology

This study investigates the modification of glass substrates with TiO₂ thin films to enhance surface hydrophilicity and self-cleaning behavior. The films were deposited on glass by spin coating using different precursor concentrations, followed by thermal treatment. Structural and optical properties were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and UV–Vis spectroscopy, while surface wettability was evaluated through water contact angle measurements. XRD confirmed the formation of pure anatase TiO₂, while FTIR spectra verified the presence of Ti–O and Ti–O–Ti bonds. Wettability analysis showed that films prepared with the lowest precursor concentration exhibited the …

Exploring The Potential Of Different Solar Photovoltaic Technologies For Green Hydrogen Production In West Africa: Technical, Economic And Environmental Prospects, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo, Samson Oladayo Ayanlade, Ayodeji Joseph Akinremi, Abayomi Temitope Layeni

Trends in advanced sciences and technology

Greenhouse gas (GHG) emissions in West Africa have remained a challenge due to the region's huge dependence on fossil fuels in meeting its energy demand. The need for an alternative and sustainable means of meeting this energy demand, coupled with the rapid depletion of fossil fuels, has become inevitable. Green hydrogen, produced via renewable energy-powered water electrolysis, has become a pivotal element in achieving a zero-carbon economy. This study explores the techno-economic feasibility of a 1 MW solar plant, considering four different PV array technologies, i.e., Mono-crystalline (m-Si), Poly-crystalline (p-Si), Heterojunction Silicon (HIT-Si), and Amorphous Silicon (a-Si) for green hydrogen …

Probabilistic Reactive Power Planning With Static Synchronous Compensators Deployment In Renewable-Rich Power Systems Using The Cuckoo Catfish Optimizer, Mohammed Sonbol Ebrahim M.Sonbol, Omar Hanafy Abdalla Omar H. Abdalla, Hady Habib Fayek Hady H. Fayek, Abdulla Mohammed Shaheen Abdulla M. Shaheen

Trends in advanced sciences and technology

This paper presents a cost-optimized reactive power planning framework to determine the optimal location and ratings of Static Synchronous Compensators in renewable-rich power systems. The proposed methodology formulates a comprehensive cost-objective function that incorporates both investment and operational costs while considering normal and contingency (N−1) operating condition. Load variability and uncertainties associated with solar irradiance and wind speed are incorporated into the cost fitness function. These uncertainties are modeled using the point estimation method, generating 144 probabilistic scenarios that represent both daytime and nighttime operating conditions. The proposed approach ensures the minimum required number of Static Synchronous Compensators while maintaining …

Black Widow Optimization Of Hybrid Renewable-Hydrogen Microgrids For Cost-Effective Water Pumping In Off-Grid Systems, Ayodeji Akinsoji Okubanjo, Ignatius Kema Okakwu, Samson Oladayo Ayanlade, Abayomi Temitope Layeni, Etinosa Noma-Osaghae, Christian Chukwuemaka Ike, Olufemi Peter Alao, Ayodeji Joseph Akinremi, Ayo Isaac Oyedeji

Trends in advanced sciences and technology

The intermittent nature of renewable energy resources, together with limited infrastructure in off-grid communities, presents major obstacles to sustainable water supply. To overcome these challenges, this study develops a Black Widow Optimization (BWO)-based framework for the optimal sizing of a hybrid renewable–hydrogen microgrid integrating photovoltaic (PV) systems, wind turbines, battery energy storage, and hydrogen storage for reliable and cost-effective water pumping applications. The optimization goals are to reduce the Levelized Cost of Water (LCOW), Levelized Cost of Hydrogen (LCOH), and Net Present Cost (NPC), while system reliability and energy efficiency are quantified using the probability of unmet water demand (PUWD) …

Performance Investigation Of A Humidification And Dehumidification Desalination System Using A Simple Bubble Column Dehumidifier, Fifi N.M. Elwekeel, Mostafa. S . Faramawy, Mahmoud Abdelmagied, Wael I.A. Aly

Trends in advanced sciences and technology

The present research investigates a humidification-dehumidification desalination (HDH) system that includes a simple bubble column dehumidifier. The studies are carried out under a variety of operating settings, such as saltwater temperature (50 ^oC-70 ^oC), saltwater flow rate (50×10^-3-120×10^-3 kg/s), bubble column sparger hole sizes (0.7 mm-1 mm), and chilled water level (3.5 cm-4.5 cm). The results indicate that the maximum productivity is 0.209 kg/h and the average specific energy consumption is 18.2 kWh/l. At 4 cm chilled water level and 70°C saltwater temperature, the average GOR is 16.8% and 4.7% higher than at 3.5 cm …