Digital Commons Network^™

Ecogeomorphic Feedbacks Influence Elevation Change Across Microtidal Wetland Settings Of Coastal Louisiana, Carol Wilson, Tracy Quirk, Donald R. Cahoon, Gregg A. Snedden, Leigh Anne Sharp

Faculty Publications

No abstract provided.

Nature-Based Therapy In The Uae: Leveraging Ecosystems To Alleviate Depression And Anxiety, Aya Abdul Karim Al-Taani, Mahmoud Mohammad Al-Gharaibeh, Ahmed A. Al-Taani

All Works

This review synthesizes current evidence on the relationship between natural ecosystems and mental health outcomes with a particular focus on arid and rapidly urbanizing contexts such as the United Arab Emirates (UAE). It introduces the Multi-Ecosystem Therapeutic Framework for Arid Urban Environments, which moves beyond generalized "nature exposure" models by systematically linking distinct environmental systems to mental health outcomes through identifiable psychological, physiological and social mechanisms. The framework is structured around three interconnected components: ecosystem types (urban green spaces, desert landscapes, mountain environments and blue spaces), mediating mechanisms (including psychological restoration, stress reduction, physical activity and social interaction) and mental …

Hed-Id: A Federated Expert System For Interpretable And Resource-Adaptive Intrusion Detection On Edge Devices, Kushboo Nasir, Sahar K. Badri, Asad Khattak, Daniyal M. Alghazzawi, Mohammed Yahya Alghamdi, Mona Alkhozae, Abeer Almakky, Rania M. Alhazmi, Muhammad Zubair Asghar

All Works

The proliferation of edge computing in industrial and IoT networks necessitates expert systems that support accurate, interpretable, and resource-efficient intrusion detection under strict privacy and computational constraints. This paper presents HED-ID, a fully integrated federated expert system designed for real-time, edge-oriented anomaly detection. The system combines: (i) a stacked bidirectional GRU (BiGRU) architecture with hybrid temporal–spatial attention for sequential and feature-level anomaly modeling, (ii) a resource-adaptive Grey Wolf Optimizer (A-GWO) that modulates exploration–exploitation behavior based on real-time CPU utilization and Bayesian epistemic uncertainty, with formal convergence proof under bounded resource shifts (Appendix A), (iii) federated SHAP, which aggregates local explanations …

Fine-Tuning Large Language Models For Binary And Multiclass Target-Specific Hate Speech Detection, Sanaa Kaddoura, Sumaia Al-Kohlani

All Works

Social media platforms are widely used by individuals from diverse demographic backgrounds to share their opinions and daily experiences. The anonymity provided by these platforms has increased the prevalence of hate speech, causing significant psychological harm to targeted groups. Existing hate speech detection approaches predominantly rely on binary classification, which fails to capture the lexical and contextual diversity of hate categories, leading to the misclassification of hate against minority groups. This study addresses this limitation by evaluating the effectiveness of five large language models (LLMs) for target-specific multiclass hate speech detection across six classes. The evaluation uses a dataset of …

Thermally-Driven Equiaxation Of Columnar Grains And Α″ Nanoparticles Enabling Isotropic Β-Ti Alloys With Strength–Ductility Synergy Manufactured By Laser Powder Bed Fusion, Lei Qin, Shengfeng Zhou, Jianbo Jin, Huan Yang, Kunmao Li, Cheng Deng, Yujie Yuan, Lai-Chang Zhang

Research outputs 2022 to 2026

The transient thermal cycling characteristics during laser powder bed fusion (LPBF) induce elemental segregation and columnar growth, resulting in significant mechanical anisotropy and strength–ductility trade-off in titanium alloys. In order to break through this bottleneck, this work proposes a strategy of inducing equiaxation of columnar grains through recrystallization and regulating the morphology of the α″ phase (from an acicular shape to nanoparticles) to synergistically optimize the uniformity, strength and ductility of LPBF-fabricated Ti-35Nb-5Cu-xMo (Ti355x, x = 0, 1, 2, 4 wt%) alloys. The results demonstrate that LPBF-fabricated Ti355x alloys display equiaxed/columnar microstructures with significant mechanical anisotropy and strength–ductility trade-off. After …

Transcutaneous Auricular Vagus Nerve Stimulation Paired With Task-Specific Training For Improving Walking And Balance In Chronic Stroke: A Double-Blind, Randomised Controlled Feasibility Trial, Ashraf N.H. Gerges, Jeric Uy, Lewis Ingram, Susan Hillier, Joanne Bouckley, Ellana Welsby, Ines Serrada, Taya Hamilton, Saran Chamberlain, Brenton Hordacre

Research outputs 2022 to 2026

Background: Transcutaneous auricular vagus nerve stimulation (taVNS) paired with task-specific training has shown promise for improving upper-limb motor recovery after stroke but its effects on gait and balance remain unclear. This study evaluated the feasibility and safety of taVNS paired with task-specific training and explored preliminary effects on walking and balance outcomes in adults with chronic stroke.

Methods: A double-blinded, sham-controlled trial was conducted to evaluate active versus sham taVNS paired with task-specific training (15 one-hour sessions over six weeks). Feasibility metrics included recruitment, participant experience, adverse events (AEs), and blinding effectiveness. Clinical outcomes (walking speed, endurance, gait parameters, and …

Acute Effects Of Accentuated Eccentric Loading On Mean Concentric Velocity During Resistance Training: A Systematic Review And Meta-Analysis, Jiahao Yang, Tsuyoshi Nagatani, Paul Comfort, Kristina L. Kendall, G. Gregory Haff

Research outputs 2022 to 2026

Background: Accentuated eccentric loading (AEL) may acutely enhance the concentric (CON) barbell velocity after the additional eccentric (ECC) load is removed, however there are inconsistent results regarding the effectiveness of this practice within the scientific literature. Objective: The aims of the present study were to: (1) examine the acute effects of applying AEL, only on the first repetition of a set, on mean barbell velocity during the CON phase of the first 3 repetitions of the set and (2) investigate the influence of the magnitude of ECC load, loading differential and exercise selection on the acute effects of AEL. Methods: …

Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou

Research outputs 2022 to 2026

Objectives: To evaluate the progression from non-radiographic axial spondyloarthritis (nr-axSpA) to radiographic axial spondyloarthritis (r-axSpA) in a Chinese cohort, identify associated risk factors in both clinical and imaging arms, and enable risk stratification based on these factors. Methods: Overall, 572 patients with nr-axSpA were enrolled with a median follow-up of 5 years. Cox proportional hazard regression analyses were conducted to identify potential risk factors associated with the progression from nr-axSpA to r-axSpA in both clinical and imaging arms. A risk-scoring system was then developed by assigning each independent predictor a weight based on its regression coefficient. Patients were subsequently categorized …

Scalable And Interpretable Fraud Detection In Fintech: Evidence From A Hybrid Tabnet–Graph Neural Network Framework, Haseeb Ahmad, Istiaque Bhuiyan, Tanvir Bhuiyan, Ariful Hoque

Research outputs 2022 to 2026

This study proposes a fraud detection framework for FinTech that integrates tabular deep learning with relational graph reasoning. We address a key limitation of state-of-the-art tabular fraud models: their assumption that transactions are independent, despite evidence that modern fraud often arises from coordinated infrastructure reuse (e.g., shared devices, email domains, accounts, and addresses). Using the IEEE-CIS Fraud Detection dataset (≈590,540 e-commerce transactions), we develop a hybrid architecture that combines TabNet, chosen for its built-in interpretability on tabular data, with a GraphSAGE encoder trained on a leakage-free heterogeneous entity graph constructed strictly from historical training transactions. Unseen entities in validation and …

Women’S Empowerment And Child Stunting In Peru: A Nationally Representative Analysis, Marisella Chumán-Sánchez, Brando Ortiz-Saavedra, Leonardo J. Uribe-Cavero, Anita P. Llamo-Vilcherrez, Joshua W. Moxey, Carlos J. Toro-Huamanchumo

Research outputs 2022 to 2026

Background: Child stunting remains a persistent public health challenge in Peru. Although women’s empowerment has been linked to improved child health, evidence on its domain-specific relationship with stunting remains limited. The objective of this study was to assess the association between women’s empowerment, across attitudes towards violence, social independence, and decision-making, and child stunting in Peru.

Methods: We conducted an analytical cross-sectional study using nationally representative data from the 2021 Demographic and Family Health Survey (ENDES), including 16,650 mother-child pairs. Analyses of women’s empowerment were conducted in a sub-sample with complete SWPER data (n = 12,696). Stunting was defined as …

Harnessing Surface Chemistry: A Comprehensive Review On The Role Of Functional Groups In Antifouling Membrane Design, Mohadeseh Najafi, Javad Farahbakhsh, Roham Ghanbari, Masoumeh Zargar

Research outputs 2022 to 2026

Membrane fouling remains a major barrier to reliable and cost-effective water treatment, motivating surface engineering strategies that suppress foulant attachment while preserving permeability and selectivity. This review critically examines antifouling membrane design through a functional-group-centred framework, focusing on grafted monomers and polymer architectures that regulate interfacial hydration, charge, polarity, and steric interactions. Oxygen-, nitrogen-, sulfur-, phosphorus-containing, zwitterionic, and multifunctional chemistries are comparatively evaluated across organic fouling, biofouling, colloidal deposition, and scaling. The analysis demonstrates that antifouling performance is governed not only by functional group identity but also by grafting density, chain conformation and mobility, spatial uniformity, and anchoring stability. Oxygen-rich …

Labor Mobility, Managerial Evaluation Risk, And Corporate Performance Disclosures, Justin Hung Nguyen, Buhui Qiu, Cameron Truong

Research outputs 2022 to 2026

This study documents that managers of firms with greater labor mobility (LM) face higher personal evaluation risk (i.e., higher likelihood of performance-driven forced turnover), especially among firms with more transparent performance disclosures. Moreover, managers of high-LM firms tend to adopt lower-quality performance disclosures (i.e., lower financial statement readability, earnings quality, and accounting conservatism) to mitigate their personal evaluation risk. The effect of LM on performance disclosure quality is stronger for firms whose managers are more concerned about personal evaluation risk, but is weaker for firms headquartered in states that restrain mobility. Finally, low-quality disclosures by high-LM firms attract a valuation …

Psychosocial, Mental, And Suboptimal Health Measures Are Not Affected By Provision Of Abdominal Aortic Calcification Imaging Results: A 12-Week Rct, Simone Radavelli-Bagatini, Lauren C. Blekkenhorst, Catherine P. Bondonno, Jack Dalla Via, Marc Sim, Abadi K. Gebre, James Dimmock, John T. Schousboe, Richard J. Woodman, Kun Zhu, Pawel Szulc, Ben Jackson, Wei Wang, Markus P. Schlaich, Douglas P. Kiel, Wai H. Lim, Amanda Devine, Moira Sim, Robin M. Daly, Jonathan M. Hodgson, Joshua R. Lewis

Research outputs 2022 to 2026

Introduction: The provision of abdominal aortic calcification imaging results can elicit cardiovascular disease risk–reducing behaviors. However, its impact on psychosocial, mental, and suboptimal health measures is less clear.

Methods: Secondary analyses of a previously reported 12-week, single-blind RCT including 240 community-dwelling older Australian males and females were conducted. Participants were provided with abdominal aortic calcification imaging results and cardiovascular disease risk–reducing educational resources (abdominal aortic calcification+education, n =121) or education alone (control+education, n =119). Psychosocial distress, mental health score, and suboptimal health status were estimated using validated questionnaires. Linear mixed models were used to compare changes between groups across 12 …

Secondary Outcomes Of The Early Collaborative Intervention Eaci On Salivary Cortisol Co Regulation In Preterm Infants And Mothers, Evalotte Mörelius, Charlotte Sahlén Helmer, Thomas Abrahamsson, Elvar Theodorsson, Ulrika Birberg Thornberg

Research outputs 2022 to 2026

The Early Collaborative Intervention (EACI) aims to strengthen early parent–infant relationships among moderate to late preterm infants in neonatal intensive care. This randomized controlled trial evaluated whether EACI influences mother–infant salivary cortisol co-regulation in mother–infant dyads, as well as infant cortisol reactivity and breast milk exposure during early infancy. Secondary outcomes were assessed in 54 dyads in the intervention group and 41 in the standard care group at one and four months’ corrected age. Salivary cortisol was collected before and after a bath at one month and a still-face procedure at four months. Significant mother–infant salivary cortisol co-regulation was observed …

Slushies Before School: Exploring How Nearby Food Outlets Impact The Eating Behaviours Of Secondary Students In Perth, Western Australia, Sharonna Mossenson, Klug, Joelie Mandzufas, Jacinta Francis, Siobhan Hickling, Lukar Thornton, Gina Trapp

Research outputs 2022 to 2026

The external school food environment, comprising food outlets and marketing near schools, shapes what young people eat. Yet little is known about how Australian adolescents perceive and navigate these environments. Focus groups were conducted with 31 school students (Years 7–12) from Perth, Western Australia, to explore their experiences of the external school food environment and its influence on their food-related behaviours. Transcripts were thematically analysed and six themes were identified. Accessibility emphasised proximity, transport links, opening hours and speed of service, with older students using outlets as social spaces. Availability of slushies, energy drinks, snacks and fast-food meal deals influenced …

Efficient Charging Scheduling Through Coordination Of Electric Vehicle Platoons And Charging Stations, Liwan Qi, Bochun Wu, Shoubo Li, Yi Gong, Wei Ni

Research outputs 2022 to 2026

This paper focuses on charging allocation in a vehicle-to-infrastructure (V2I) communications-enabled electric vehicle (EV) network with heterogeneous traffic flows, where manned EVs and EV platoons coexist, and each EV platoon may have a different size and travel speed. In such a network, hybrid traffic flows pose significant challenges since platoons with multiple EVs can easily cause severe station overloading and increase the total time cost for charging service, particularly when large platoons occur. To tackle this issue, a centralized approach is proposed to plan charging allocation and optimize the velocities of manned EVs and EV platoons with the assistance of …

Natural Gas Hydrate Production And Co2 Storage Via Clathrate Hydrates: Challenges And Opportunities, Abdirahman Hassan Mohamed, Aliyu Adebayo Sulaimon, Haylay Tsegab, Bhajan Lal, Stefan Iglauer, Muhammad Ali

Research outputs 2022 to 2026

One of the most demanding environmental and economic challenges of this era is that of supplying the increasing global energy demand while reducing and neutralizing the CO2 footprint. In this regard, the provision of a secure and diversified energy supply and the sequestration of CO2 into geological formations are currently of great significance. However, the buoyant nature of CO2 under the temperature and pressure conditions of typical geological sites leads to the risk of CO2 leakage, and thus necessitates long-term monitoring. Therefore, the hydrate-based sequestration of CO2 beneath oceanic sediments has become a desirable alternative to conventional geologic sequestration in …

Cardiovascular Disease And Fracture Risk In People With Type 2 Diabetes: A Nationwide Matched Case–Control Study, Aksayan Arunanthy Mahalingasivam, Annika Vestergaard Kvist, Joop P. Van Den Bergh, Cassandra Smith, Joshua R. Lewis, Peter Vestergaard, Nicklas Højgaard Hessellund Rasmussen

Research outputs 2022 to 2026

To examine, among people with type 2 diabetes (T2D), whether cardiovascular disease (CVD) phenotypes and cardiovascular medications are associated with any fracture as the primary outcome and major osteoporotic fracture (MOF) as a secondary outcome. Nationwide registry-based matched case–control study in Denmark (2013–2021) among people with T2D. Cases were individuals with T2D who sustained an incident fracture (n = 12,390), and controls were fracture-free individuals with T2D matched 1:3 by age, sex, T2D onset date, and weighted Charlson Comorbidity Index (n = 37,170). The exposures were overall CVD, prespecified clinical CVD phenotypes (acute myocardial infarction (AMI), stroke, heart failure, atrial …

Anaemia In Pregnancy In Rural New South Wales: A Retrospective Study Of Prevalence, Risk Factors, And Guideline Adherence, Yuanwei Zhang, Esther Adama, Uchechukwu Levi Osuagwu

Research outputs 2022 to 2026

Aim: To determine the prevalence of anaemia in pregnancy in rural New South Wales (NSW) and assess the alignment of screening and treatment practices with the 2020 Australian Pregnancy Care Guidelines (APCG).

Methods: A retrospective cohort study at the Regional Hospital using records from 301 women who gave birth between 1st January and 4th September 2024. Data were sourced from eMaternity and PowerChart systems, focusing on haemoglobin and ferritin levels, demographic factors, iron deficiency risk factors, and birth outcomes.

Results: Iron deficiency was identified in 61.8% of women, with 6.0% diagnosed with iron deficiency anaemia (IDA). These rates were lower …

Comparative Analysis Of Amino Acid And Bioactive Peptide Profiles During Time-Resolved Fermentation Of Wheat And Stout Brewer's Spent Grain By Lactiplantibacillus Plantarum, Minh Quoc Ha, Angéla Juhász, Teguh Santoso, Mitchell G. Nye-Wood, Mathilde Berthevas, Zhiyu Zhao, Eileen Kitundu, Tony Chen, Michelle L. Colgrave, Thao T. Le

Research outputs 2022 to 2026

Brewers’ spent grain (BSG), a protein- and fibre-rich brewing by-product, contains bioactive compounds, yet techniques to fully recover and utilise these bioactive fractions remain underdeveloped. This study investigated the proteolytic transformation of two BSG types, wheat and stout BSG, during 10 days of fermentation with Lactiplantibacillus plantarum . Discovery and targeted LC-MS/MS proteomics were used to characterise the proteome, peptide release, and free amino acid profiles of BSG throughout fermentation. Proteomic analysis identified 503 proteins in wheat BSG and 340 in stout BSG. Wheat BSG generated higher peptide diversity than stout BSG (1,227 vs. 436 peptides, respectively), with peptide release …

Effects Of Lower Limb Joint Manipulation On Squat Strength And Ankle Range Of Motion: A Sham-Controlled Double-Blind Randomised Cross-Over Trial, Reneigh Morley-Hart, Barrett Losco, Alasdair R. Dempsey, G. Gregory Haff, Sasha L. Aspinall

Research outputs 2022 to 2026

Background: The back squat is a commonly prescribed exercise for developing lower body strength. The ability to squat can be affected by reduced ankle dorsiflexion range of motion (DF-ROM), leading to limited squat depth and dysfunctional compensatory movement patterns.

Objective: To investigate the effect of high-velocity low-amplitude lower limb manipulations on 1 repetition maximum (1RM) back squat strength, sagittal plane ankle kinematics during a squat, and active DF-ROM in individuals with asymptomatic deficits in DF-ROM.

Methods: Twenty-six enrolled; Twenty-four analysed resistance-trained participants with asymptomatic deficits in DF-ROM participated in this double-blind randomised sham-controlled cross-over trial. Interventions involved high-velocity low-amplitude joint …

My Story Is Good… It’S Not Like That For All: Uneven Access To Contraception Among Incarcerated Women In New South Wales, Australia, Helene Smith, Basil Donovan, Jocelyn Jones, Tony Butler, Paul Simpson

Research outputs 2022 to 2026

Background: Evidence indicates high levels of unmet contraceptive need among justice-involved women, linked to intersecting vulnerabilities such as housing instability, substance use, violence and poor mental health. In Australia, limited research has explored how women in prison navigate access to family planning services. This study aimed to examine the experiences of incarcerated women in New South Wales (NSW) in accessing contraception and making fertility-related decisions.

Methods: The study formed part of the Second Sexual Health and Attitudes of Australian Prisoners (SHAAP-2) study. Seventeen women aged 19–45 were recruited from two NSW correctional centres. Semi-structured qualitative interviews were conducted face-to-face or …

Be Watchful Of “Perfect Mediocracy” In Tourism Research!, Songshan (Sam) Huang

Research outputs 2022 to 2026

No abstract provided.

A Consolidated Mössbauer Spectrum For Undisturbed Soils From Gusev Crater, Mars, Paulo De Souza

Research outputs 2022 to 2026

Mossbauer analyses from MIMOS II data collected on Mars provided breakthrough insights into iron mineralogy of the planet’s surface. Resulting from limited measurement time, science operations were divided among multiple instruments, restricting the detection of minor Fe-bearing mineral phases (below 5% WSA). MIMOS II records Mössbauer spectra at 10 K intervals, and to enhance signal to noise ratios, spectra from different intervals were combined, when applicable. For instance, temperature variations between 190 K and 270 K in basaltic samples do not significantly impact the spectra, allowing data from all intervals to be integrated. By combining MIMOS II data from various …

Characterization Of Droplet Size And Their Distribution Using Low Operating Conditions In A Rotary Bell Cup Spray-Field Via Shadowgraph, Murad Ali Channa, Mehdi Khiadani, Yasir M. Al-Abdeli

Research outputs 2022 to 2026

This study characterises droplet size and distribution across axial (x/D) and radial (r/D) locations in the spray field of a rotary bell-cup atomizer under low operating conditions. Shadowgraph was used to measure droplet size and distribution at 16 dimensionless locations in both directions. Two low rotational-speed ranges, 3–3.5 krpm (case I) and 8–8.5 krpm (case II), were achieved using shaping-air of 30–100 L/min under turning-air of 50 and 60 L/min, respectively, at a constant flow rate of 0.5 L/min. The Sauter mean droplet diameter ranged from ∼ 45–98 µm in case I and narrowed to ∼ 45–85 µm in case …

The Effectiveness Of Cluster Vs. Rest-Redistribution Set Configurations To Maintain Movement Velocity During Resistance Training: A Systematic Review And Bayesian Network Meta-Analysis, Tsuyoshi Nagatani, Christopher Latella, Jiahao Yang, Kristina L. Kendall, Shayne Vial, Paul Comfort, Eric J. Drinkwater, G. Gregory Haff

Research outputs 2022 to 2026

Background: Alternative set structures such as cluster sets (CS) and rest-redistribution (RR) are often used as a more effective method for preserving movement velocity during resistance training than traditional sets (TS). However, only a limited number of studies have directly compared CS and RR, and their relative effectiveness has not been comprehensively synthesized. The aim of this present study was to systematically synthesize the existing literature examining acute effects of CS and RR on movement velocity during resistance training, compare CS and RR using Bayesian network meta-analyses, and examine potential moderators of these effects using Bayesian network meta-regressions.

Methods: Two …

Efficient Removal Of Methyl Orange Dye Via A Mnfe₂O₄/Go Nanocomposite With A Ctab Dual-Layer Surfactant Coating, Taher Karami, Soleiman Bahar, Reza Mostafazadeh

Research outputs 2022 to 2026

This study investigated the adsorption of methyl orange (MO) from aqueous solutions using a novel MnFe₂O₄/GO nanocomposite coated with cetyltrimethylammonium bromide (CTAB). The dual-layer surfactant modification facilitates both electrostatic and lipophilic interactions. This enhancement significantly improves dye removal efficiency. The adsorption process was monitored using spectrophotometry at 464 nm, with various characterization techniques confirming the structural and magnetic properties of the nanocomposite. The optimized parameters for maximum adsorption include a 2-minute ultrasonic dispersion, pH 6.8, and a surfactant-to-adsorbent ratio of 1, achieving a maximum adsorption capacity of 285.7 mg/g. The kinetic data followed a pseudo-second-order model, whereas the adsorption isotherm …

Advancing Digital Technology Teacher Education Through The 3c Model, Peter Curtis, Michael D. Carey, Natalie Mcmaster, David A. Martin

Research outputs 2022 to 2026

The integration of digital technologies into teacher education is a significant development to prepare educators for the demands of contemporary classrooms. However, current teacher education programs often fall short in supporting pre-service teachers to understand the pedagogical shift toward embedding coding and computational thinking (CT) skills. In response, this paper presents the 3C Model (Context, Capabilities and Computational focus), a research-informed pedagogical framework designed to support pre-service and in-service teachers in delivering structured, curriculum-aligned instruction in coding and CT. Drawing on recent research, its findings, and its implementation in teacher education contexts, the 3C Model is presented as an innovative …

Revisiting Ulam Stability For Boundary Value Problems, Martin Bohner, Snezhana Hristova, Agnieszka B. Malinowska, Ewa Girejko

Mathematics and Statistics Faculty Research & Creative Works

The main goal of this paper is to apply Ulam stability theory to boundary value problems for dynamic equations, while addressing several common misconceptions found in the existing literature. We identify the key issues that arise when applying Ulam stability to such problems and propose three distinct approaches to overcome them. To enhance clarity and accessibility, we begin with nonlinear ordinary differential equations and subsequently extend the analysis to nonlinear dynamic equations on time scales. Since a time scale is defined as any nonempty closed subset of the real numbers, our results are applicable to dynamic equations on continuous, discrete, …

Helixcross – Design And Development Of An Ai-Powered Cross-Examination Simulation For Forensic Expert Testimony Training, Mark Barash, Bruce Budowle

Faculty Research, Scholarly, and Creative Activity

Forensic testimony is where science meets the courtroom, and it is one of the critical forensic skills taught largely by apprenticeship. An examiner who overstates a match, mishandles a probability, or cannot support a method under direct or cross-examination can weaken the evidence in precisely the cases that rely on it. Yet in most forensic laboratories, testimony preparation remains largely informal, mentor-dependent, and unscalable. Consequently, many practitioners first face rigorous cross-examination at trial. To address this gap, HelixCross, an alpha-stage, publicly accessible, prompt-engineered large language model (LLM) agent, was developed. It uses retrieval-augmented generation (RAG) to simulate defense counsel cross-examination …