Digital Commons Network^™

A Language Model’S Capability To Make Reasoned Decisions In Administrative Law, Robert Diab

Dalhousie Law Journal

This paper calls into question a common set of assumptions about the use of artificial intelligence in administrative law in Canada. While some assume that AI (AI) may be useful for assisting a decision-maker where core rights are affected, the prevailing view is that it cannot be relied upon to make final decisions, due mainly to functional limitations: AI cannot give reasons and its outcomes are fraught with bias and opacity that cannot be overcome. The prevailing view, however, took shape in response to earlier, more limited forms of AI. Large language models can be used in a way that …

Ai-Powered Synthetic Biology: Current Situation, Challenges, And Future Perspectives, Izem Olcay Sahin, Nuriye Gokce, Duygu T. Yildirim, A. Baki Yildirim, Hilal Akalın, Donald Martin, Tommaso Beccari, Oscar Vicente, Iza Radecka, Fideline Tchuenbou-Magaia, Robert S. Marks, Ratnesh Lal, Satya Prakash, Adam Mechler, Mario Petrov Milkov, Svetlana Fotkova Georgieva, Ilia Iliev, Kosi Gramatikoff, Ed Judge, Milica Markovic, Radka Kaneva, Galina Aleksieva Yaneva, Nadya Vasileva Agova, Nikoleta Dobromirova Ivanova, Mariya Kiryakova Tsvetkova, Ivelin Rosenov Iliev, Michel Salzet, Kisung Ko, Michele Maffia, Chiara Coppola, Matteo Bertelli

Research Outputs: 2025-Present

Synthetic biology has evolved from a set of engineering aspirations to an operationally sophisticated discipline, and artificial intelligence (AI) is its fastest-growing accelerant. This review traces that convergence across six interlocking domains: systems-level biological modeling, de novo protein engineering, metabolic and microbial programming, multi-omics data integration, regulatory element design, and clinical translation. For each domain, we survey established results, integrate findings from 2010–2026 literature, and articulate the trajectories that will define the next decade. Emerging themes include physics-informed neural networks for mechanistically constrained biological modeling, drug design, and federated learning architectures that allow global omics collaboration without centralizing sensitive data, …

Nb–Zr Interdiffusion In The (Hf,Ta,Ti,Nb)B2–(Hf,Ta,Ti,Zr)B2 High-Entropy Boride System, Ana C. Feltrin, Yue Zhou, Stefano Curtarolo, Gregory E. Hilmas, William G. Fahrenholtz

Materials Science and Engineering Faculty Research & Creative Works

Niobium (Nb) presents a challenge for achieving homogeneous solid solutions in high-entropy boride and carbide ceramics. In this work, we synthesized (Hf,Ta,Ti,Zr)B₂ (Zr-HEB) and (Hf,Ta,Ti,Nb)B₂ (Nb-HEB) ceramics by boro/carbothermal reduction, followed by densification via spark plasma sintering (SPS). Diffusion couples were prepared to investigate the interdiffusion behavior of Nb and zirconium (Zr) in these complex systems at temperatures between 2000°C and 2200°C. Aside from Nb and Zr, the other elements exhibited no significant concentration gradient across the diffusion interface. Nb exhibited lower diffusion coefficients ((Formula presented.) Nb = 1.7 x 10⁻¹⁷–1.2 x 10⁻¹⁶ m^{2 …}

Neural Network Technologies In The Automatical Control Systems Of Absorption Process For Pureficating Natural Gas, Abdishukurov Maqsudovich Shavkat Mr, Xuecheng Li Li Xuecheng Mr

Technical science and innovation

Analysis of methods and algorithms for synthesizing adaptive control systems for technological processes based on the neural network approach is carried out in this search. The stages of mathematical modeling of complex technological processes using neural network technology were considered. Additionally, an algorithm for solving the interpolation and extrapolation problem that arises in the training process a neural network to control system was proposed. At the final stage of this article, algorithms based on neural network technology are synthesized for the control system for the parameters of the technological process of natural gas purification by absorption

The Challenge: Magazine For The Center For Gifted Studies (No. 60 Summer 2026), Julia Link Roberts

Gifted Studies Publications

Magazine created by and about the WKU Center for Gifted Studies.

Midweek Memo, Georgia Southern University

Midweek Memo

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Artificial Intelligence Based Predictive Simulation And Decision-Support Framework For Full Scale Wastewater Treatment Systems, Muhammad Hassnain, Cameron Veal, Sarada M.W. Lee, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Full scale wastewater treatment plants (WWTPs) generate extensive sensor and laboratory datasets that remain challenging to translate into real-time operational insight, while increasing hydraulic variability, energy constraints, tightening effluent regulations, and events such as sensor faults, hydraulic shocks, and effluent-quality excursions require predictive decision-support tools beyond conventional mechanistic modelling. This study presents a full-scale, industry-deployed artificial intelligence (AI) framework integrating machine learning (ML), simulation, and operational boundary definition across a nitrogen-removal WWTP in Australia. Up to nine years of high-frequency online instrumentation data (≤419,000 records per target; 5–30 min resolution) and ~3000 laboratory samples were used to train and evaluate …

Optimal Co2 Storage Interval In Heterogeneous Tight Formation: Implications For Long-Term Carbon Sequestration, Yujie Yuan, Yuxin Cao, Emad A. Al-Khdheeawi, Maxim Lebedev, Zhenjiang You, Reza Rezaee, Stefan Iglauer, Lai Chang Zhang, Zhuo Feng

Research outputs 2022 to 2026

The efficiency of CO2 geo-sequestration relies heavily on the storage capacity and sealing integrity of the heterogeneous strata. Tight formations offer substantial advantages for long-term CO2 geological storage, however, the stratigraphic variability and lithological heterogeneity introduce substantial uncertainty in real-world engineering applications. Particularly, for tight formations with pronounced heterogeneous lithologies, traditional methods oversimplify their impact on CO2 geo-sequestration. To address this challenge and identify the most effective intervals for CO2 geo-sequestration, we investigated the middle Permian Lucaogou Formation (P2l) in the Jimusar Sag, Junggar Basin, Northwest China, a region known for its strong lithological heterogeneity. By integrating multi-scale analytical techniques, …

Sliding Mode Control In Grid-Tied Inverters: Techniques, Applications, And Future Directions, Taimoor Muzaffar Gondal, Asma Aziz, Daryoush Habibi, Iftekhar Ahmad

Research outputs 2022 to 2026

Sliding mode control (SMC) has emerged as a robust and adaptive strategy for grid-tied inverters. It has unique attributes which make it an appropriate control choice under increasingly complex power systems. However, there are a limited number of review articles which comprehensively explore the true potential of SMC for grid-tied inverter applications. This systematic review has been structured to explore SMC techniques with respect to certain challenges, i.e., stability challenges, unbalanced conditions, low inertia scenarios, and harmonics distortion. The classification of various SMC techniques is presented with respect to their control law and sliding surfaces design. The comparative analysis indicates …

A Comparative Evaluation Of Experimentally Validated Finite Element Modeling Strategies To Simulate Compression-After-Impact Behavior Of Multidirectional Cfrp Laminates With Barely Visible Impact Damage, Niildiip Chandraa, Vinh Tung Le, Arief Yudhanto, Abhendra K. Singh, Douglas E. Smith

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Abstract The finite element-based approaches to predict compression-after-impact (CAI) performance of carbon fiber reinforced polymer (CFRP) subject to a low-velocity impact rely on assumptions about compressive failure mechanisms within the barely visible impact damage (BVID). Comprehensive evaluations of finite element (FE) models concerning accuracy, efficiency, and validity with respect to experimental tests are limited. This study explores several finite element-based approaches developed in ABAQUS Explicit to predict the residual strength and related compressive failure mechanisms of multidirectional CFRP laminates. Drop-weight impact experiments followed by CAI tests employing 3D Digital Image Correlation (DIC) were used to validate our FE models by …

Tailoring Crushing Responses Of Hexagonal Crash Box Filled With Additively Manufactured Lattice Structures By Assessing The Influence Of Material Parameters, L. D. Lumanauw, A. Jusuf, M. H. Jarwadi, L. Gunawan, T. Sebaey, A. Yudhanto

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Hexagonal crash boxes offer superior crashworthiness compared to other cross-sectional geometries, and their performance can be further enhanced by integrating additively manufactured lattice fillers. This study investigates the quasi-static crushing behavior of hexagonal crash boxes filled with hexagonal close-packed (HCP) lattice structures fabricated via stereolithography (SLA). Finite element models developed in ABAQUS/Explicit, validated against quasi-static compression experiments, show discrepancies below 5%, indicating that polymeric lattice fillers provide modest performance gains, achieving a crushing force efficiency (CFE) of 20%–25%. Replacing polymeric lattices with metallic fillers, namely 316L stainless steel and Ti–6Al–4V titanium alloy, substantially increases energy absorption, with Ti–6Al–4V delivering the …

Nascent Titanium-/Silicon-Containing Particle Formation In Corona-Discharge-Assisted Combustion, Chanakya Bagya Ramesh, Frank Daoru Han, Yang Wang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Adding plasmas to a flame has been shown to introduce high concentrations of charges, ions, and radicals to the said flame. This technique of adding plasma to a flame is called plasma-assisted combustion (PAC), and this addition has been shown to make a flame more stable and efficient. At the same time, PAC has also been shown to alter particle formation during combustion. Here, we investigate the effect of a high-frequency (∼21 kHz) alternating current (AC) corona discharge on particle formation and growth in a premixed flame, especially at the initial stages (with particle sizes below 10 nm). We first …

Rhetorical Physics And The Laws Of Language: A Comparative Analysis Of President Trump And President Macron At The United Nations 2025, David Edmund Allen

Research outputs 2022 to 2026

The paper features a textual analysis of the UN speeches made by the US President Donald Trump and by France’s President Macron. President Trump’s speech was made in the absence of a teleprompter and lasted almost an hour. President Macron’s speech was representative of a more standard diplomatic speech. Both speeches are analyzed using a variety of models and techniques. The analysis incorporates an exploration of Manin’s link of Zipf’s law to concepts from information theory and algorithmic complexity, Tao’s concepts applied to power laws, ‘E pluribus unum’, out of many, one, plus a completely new application of Villermaux’s universal …

Waste Material Utilization In Civil Engineering Applications: Advances, Challenges, And Future Directions—A Scoping Review, Chathurika Dassanayake, Nuha S. Mashaan, Ridmi Galagedara

Research outputs 2022 to 2026

This PRISMA-guided scoping review examines the use of waste materials in civil engineering as a sustainable approach to reducing environmental impacts, conserving natural resources, and supporting circular economy principles. The rapid growth of urbanization, industrialization, mining, and agricultural activities generates large amounts of waste materials, including fly ash, ground granulated blast-furnace slag, bauxite residue, mining tailings, waste rock, acid-mine drainage sludge, waste plastics, post-consumer vulcanized rubber, recycled construction materials, and agricultural ashes. The disposal of these materials often creates serious environmental and land-use problems, making their reuse increasingly important. In this context, civil engineering is one of the most promising …

Magnetic Field-Induced Transformation In Polycrystalline Ni2mnal Heusler Type Magnetic Shape Memory Alloy, Choji J. Daches, Joseph W. Newkirk, Mario Buchely, Laura N. Bartlett

Materials Science and Engineering Faculty Research & Creative Works

The martensitic and magnetic transformations, as well as the mechanical properties, of Ni₂MnAl alloys in as-cast (AC) and heat-treated (HT) conditions were investigated. Magnetic-field-induced strain was evaluated via magnetostriction, with reversible strains of 0.14% and 0.2% achieved in the martensitic phase at 2 K for the AC and HT alloys, respectively. Transformation temperatures and Curie temperatures were determined under constant applied magnetic field, revealing that γ-phase inclusions in the AC microstructure suppress antiferromagnetic domain response, yielding a lower magnetization (∼8.4 emu g⁻¹) compared to the HT alloy (∼13.4 emu g⁻¹). Both alloys exhibited hysteretic behavior in the martensitic state and …

Unveiling Corrosion Behavior And Passive Film Performance Of L12-Strengthened Ni28cr15cu8ti8fe26-Xco15+X Multi-Principal Element Alloys, Liran Huang, Zhiqiang Fu, Chenliang Chu, Shiyu Liu, Xiaohui Qin, Yunzhu Shi, Yongxiang Tan, Haiming Wen

Materials Science and Engineering Faculty Research & Creative Works

L12 precipitates are usually induced into face-centered cubic (FCC) multiple-principal element alloys (MPEAs) to improve their moderate yield strength; however, the precipitation also influences the corrosion resistance. This study investigated the corrosion behavior and passive film performance of a series of L1₂-strengthened Ni₂₈Cr₁₅Cu₈Ti₈Fe_26-xCo_15+x (x = 0, 3, 6, and 9 at.%) MPEAs in 3.5 wt.% NaCl solution. The size and density of the L1₂ nanoprecipitates were regulated via tuning Fe and Co content. With decreasing Fe/Co ratio, the radii of these nanoprecipitates gradually increased within the …

Thiol-Based Neuroprotective Copolymers Acutely Restore Redox Metabolism And Mediate Vasogenic Edema In A Mouse Model Of Traumatic Brain Injury, Evan T. Curtis, Brandon Z. Mcdonald, Aria W. Tarudji, Aaron M. Priester, Anthony J. Convertine, Forrest M. Kievit

Materials Science and Engineering Faculty Research & Creative Works

Effective pharmaceutical interventions for treating the secondary damage associated with traumatic brain injury (TBI) are limited due to poor delivery into the brain, insufficient target engagement, and an incomplete understanding of the pathophysiological changes that occur post-impact. Thus, nanoparticles (NP), which have an enhanced permeation and retention-like effect within the perturbed blood-brain barrier, have grown as a potential candidate for treating TBI. We have investigated the antioxidant capacity of thiol-based NP, termed neuroprotective copolymers (NPC3), and their ability to neutralize reactive oxygen species (ROS) and lipid peroxidation products (LPOx). Here, we assessed the efficacy of NPC3 for alleviating the secondary …

Finite-Temperature Grain-Boundary Segregation In High-Entropy Carbides, Marium M. Mou, Tarek Md Anamul Haque, Samuel E. Daigle, Josiah Roberts, William G. Fahrenholtz, Jon Paul Maria, Douglas E. Wolfe, Eva Zurek, Stefano Curtarolo, Donald W. Brenner

Materials Science and Engineering Faculty Research & Creative Works

High-entropy carbides are promising candidates for extreme-temperature environments, but their grain-boundary chemistry remains difficult to resolve because segregation involves both chemical disorder and finite-temperature configurational sampling. Here, we quantify temperature-dependent grain-boundary segregation in high-entropy carbides using a universal message-passing atomic cluster expansion (MACE) machine learning interatomic potential combined with a hybrid Monte Carlo–molecular dynamics workflow. A 53.1 (Formula presented.) (Formula presented.) symmetric tilt grain boundary was sampled for six representative high-entropy carbide compositions containing group IV, V, and VI transition metals at 300 and 2000 K. Element-resolved metal-sublattice composition profiles reveal composition-dependent segregation modes. Several chemistries exhibit selective near-boundary enrichment …

Vehicle Autonomy To Ecosystem Intelligence: A Systematic Review Of Dynamic Vision Architectures In Surface Mining Operations, Nana Yaa Damtewaa Anti, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Autonomous Haulage Systems (AHS) have significantly transformed surface mining operations by improving safety, productivity, and operational consistency. Currently, AHS predominantly rely on vehicle-centric perception architectures. Onboard LiDAR, radar, cameras, and Global Navigation Satellite Systems (GNSS) perform sensing, interpretation, and decision-making within individual systems. These processes enable collision avoidance and path tracking. However, they are limited in their ability to consider the broader, dynamic mining environment characterized by dust, terrain degradation, geotechnical instability, heterogeneous traffic, and rapidly evolving operational conditions. This paper presents a systematic review of dynamic vision systems of AHS in surface mining. It critically analyzes the transition from …

Higher-Order Statistical Analysis Of Inter-Arrival Times For Radiation Detector Deadtime Characterization And Paralysis Factor Determination, Abdallah Wazzan, Shoaib Usman, Tayfun Akyurek

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

All real detectors exhibit hybrid behavior that combines both paralyzable and non-paralyzable which requires improved characterization techniques. This study investigates the relationship between detector deadtime parameters and higher-order statistical for inter-arrival time distributions to develop advanced detector characterization. Two comprehensive Monte Carlo simulation approaches were employed using MATLAB: a full radioactive decay curve analysis spanning approximately 4.5 half-lives of Cobalt-60 and Vanadium-52 sources, and a fixed count rate analysis covering practically achievable laboratory conditions (440 to 1,000,000 counts per second). The hybrid deadtime model was implemented with deadtimes ranging from 2.5 to 50 μs for the full simulation and from …

Thermal And Mechanical Properties Of Zirconium Carbide Manufactured Via Ceramic On-Demand Extrusion, Clare Sabata, Yue Zhou, Jeremy L. Watts, Gregory E. Hilmas

Materials Science and Engineering Faculty Research & Creative Works

Zirconium carbide (ZrC) was fabricated by material extrusion additive manufacturing (AM) followed by pressureless sintering at 2000°C for two hours, achieving a relative density of 90.3 %. SEM analysis revealed grains of 4.6 ± 1.8 μm; XRD confirmed single phase ZrC. A stoichiometry of ZrC_0.92 was determined by XPS. Four-point flexure testing exhibited a strength of 331.3 ± 57.1 MPa and Young's modulus of 232.8 ± 13.1 GPa. Vickers hardness was 13.6 ± 1.0 GPa and 11.6 ± 0.5 GPa at 4.91 and 9.81 N, respectively. Indentation fracture resistance was 2.9 ± 0.2 MPa⋅m^1/2; Griffith analysis confirmed …

Dimpled Surfaces For Thermal Performance Enhancement In Solar Collectors, Furqan Jamil, Baig, Amna Adil, Aasia Farrukh

Research outputs 2022 to 2026

With escalating environmental concerns, solar energy is a feasible approach to support a sustainable environment, considering the pressing need to move away from fossil fuels. Optimizing solar collector’s efficiency improves energy capture and lowers carbon emissions. One innovative technique is to the surface of solar collectors. The heat transfer is greatly increased by adding such tiny indentations, encouraging turbulence in the incoming working fluid. The article reviews the effect of dimples on the efficiency of various collector applications, including flat plate collector, solar water heaters, solar air collectors, parabolic trough solar collectors, photovoltaic thermal systems, desalination, and many others. The …

Pfas Quantification Using Solid Phase Extraction And Low Field Nuclear Magnetic Resonance (Spe-Nmr), Nicholas N.A. Ling, Ghasemi, Ella Shilliday, Masoumeh Zargar, Einar Fridjonsson, Michael L. Johns

Research outputs 2022 to 2026

Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals that are highly resistant to biodegradation. Due to their bioaccumulation, long-term persistence, and adverse human health effects, they have been classified as organic pollutants. The leaching of PFAS into water sources has resulted in their detection in global drinking water supplies. To mitigate adverse health effects and minimise environmental damage, regulations regarding maximum allowable PFAS concentrations in water have been imposed. Traditional PFAS in water quantification methods, such as liquid chromatography–mass spectrometry (LC–MS), gas chromatography–mass spectrometry (GC–MS), and high-performance liquid chromatography (HPLC), have intrinsic limitations that pose challenges in such PFAS analysis. …

Effect Of Anisotropic Hydraulic Conductivity On Groundwater Seepage Into A Rectangular Tunnel In Submerged Sand, Deki Yangzom Ghaley, Sanjay Kumar Shukla

Research outputs 2022 to 2026

Managing groundwater seepage around tunnels is critical to tunnel design, particularly when the tunnel is constructed below the water table. Accurate seepage flow patterns and water inflow prediction under ordinary and critical conditions are imperative to mitigate potential tunnel construction and service disasters. In the past, an in-depth study on the anisotropic hydraulic conductivity of the soil mass that may affect the seepage condition has not been carried out. In this work, this aspect has been investigated numerically for a rectangular tunnel submerged within a homogeneous sand mass, considering the anisotropic hydraulic conductivity ratio (kz / kx, kz = vertical …

Harnessing Tio2-Based Nanofilaments: A Pathway To Enhanced Optoelectronic Performance In Dye-Sensitized And Perovskite Light Harvesters, Zahraa Ismail, Tarek A. Elmelegy, Hassan Nageh, Sameh Abdellatif

Mechanical Engineering

This study explores the integration of TiO2-based nanofilaments into dye-sensitized solar cells (DSSCs) and perovskite solar cells (PSCs) to enhance their optoelectronic performance. Despite the advancements in one-dimensional lepidocrocite TiO2 nanofilaments, there remains a significant gap in understanding their optical scattering mechanisms and dual applicability in both types of solar cells. We synthesized TiO2 nanofilaments and compared their performance to conventional P25 TiO2 in terms of morphology, electrical, and optical properties. The results indicate that the DSSC utilizing nanofilaments achieved a short-circuit current density of 8.2 mA/cm² and a power conversion efficiency (PCE) of 6.9%, compared to 7.1 mA/cm² and …

2026 Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Reviewing The Perioperative Process For Gastrostomy Tube Care: A Qualitative Study, Douglas J. Fox Iii, Owen N. Ferriola, Allen J. Huang, Nicholas A. Long, Joan C. Bruce, Erin M. Morris, Jeannette M. Joly, Carleen V. Cuevas, Terry Fisher, Kuojen Tsao

Summer Research Program Abstracts

No abstract provided.

Optimizing Biomechanical Conditioning For Human Intestinal Organoids With An Enteric Nervous System, Cash L. Davis, Rachel Bordelon, Madushani Herath, Younus A Zuberi, Allison L. Speer

Summer Research Program Abstracts

No abstract provided.

Configuring Agentic Ai Coding Tools: An Exploratory Study, Matthias Galster, Seyedmoein Mohsenimofidi, Jai Lal Lulla, Muhammad Auwal Abubakar, Christoph Treude, Sebastian Baltes

Research Collection School Of Computing and Information Systems

Agentic AI coding tools increasingly automate software development tasks. Developers can configure these tools through versioned repository-level artifacts such as Markdown and JSON files. We present a systematic analysis of configuration mechanisms for agentic AI coding tools, covering Claude Code, GitHub Copilot, Cursor, Gemini, and Codex. We identify eight configuration mechanisms spanning from static context to executable and external integrations and, in an empirical study of 2,853 GitHub repositories, examine whether and how they are adopted, with a detailed analysis of Context Files, Skills, and Subagents. First, Context Files dominate the configuration landscape and are often the sole mechanism in …

Cryptic Habits: The Hidden Lives Of Midsouth Entomologists. Interview With Dr. Jerome Goddard, Mississippi Public Health Entomologist And Fiction Novelist, C. J. Peterson, Jerome Goddard

Midsouth Entomologist

No abstract provided.