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Nursing Students' Evaluation Of Primary Health Care Clinical Placements - A Cross-Sectional Study, Debbie Procter, Megan Lee, Debbie Massey, Kylie Mccullough, Karen Strickland Jul 2026

Nursing Students' Evaluation Of Primary Health Care Clinical Placements - A Cross-Sectional Study, Debbie Procter, Megan Lee, Debbie Massey, Kylie Mccullough, Karen Strickland

Research outputs 2022 to 2026

Aim: Evaluate quality and satisfaction of nursing students' Primary Health Care clinical placements. Background: There is growing recognition of the need to expand the Primary Health Care nursing workforce, with positive clinical placement experiences considered essential for preparing and inspiring future careers in these settings; however, few graduate nurses choose this career path. Design: A cross-sectional study design using purposive sampling. Participants: Data were sourced from National Placement Evaluation Centre's 2023/2024 dataset using the validated PET–Nursing survey. The tool includes 20 items across two subscales - Clinical Environment and Learning Support, with the final item assessing overall placement satisfaction. Surveys …


Using Μ-Xrf To Quantify Redox Features In Bottomland Hardwood Forest Soils, Jaslyn Ilene Herold Jul 2026

Using Μ-Xrf To Quantify Redox Features In Bottomland Hardwood Forest Soils, Jaslyn Ilene Herold

Electronic Theses and Dissertations Archive

Secondary soil iron-manganese concentrations (FMC) form because of soil redox reactions and influence the cycling and availability of key nutrients and toxins in wetland ecosystems. However, the effects of landscape position and soil age on FMC formation are not well understood. This study examines the µ-XRF spectroscopy of FMC from soils sampled along terrace, floodplain, and channel landscapes in a bottomland hardwood forest in the Mississippi Embayment of western Kentucky. We found that FMC area is linked to epi- and endosaturation. The 25 µm resolution µ-XRF chemical maps show decreasing area with depth in episaturated conditions along the terrace and …


Challenge-Based Ex Vivo Immune Profiling Reveals Stimulus-Dependent Peripheral Immune Reprogramming In Alzheimer's Disease, C. A. Naranjo-Galvis, Jovanny Zabaleta, Ney Alliey Rodriguez, Luisa Matilde Salamanca-Duque Jul 2026

Challenge-Based Ex Vivo Immune Profiling Reveals Stimulus-Dependent Peripheral Immune Reprogramming In Alzheimer's Disease, C. A. Naranjo-Galvis, Jovanny Zabaleta, Ney Alliey Rodriguez, Luisa Matilde Salamanca-Duque

School of Medicine Publications

Altered immune function is increasingly recognized as a contributor to Alzheimer's disease (AD); however, it remains unclear whether peripheral immune alterations reflect constitutive inflammation or stimulus-dependent changes in immune responsiveness. Addressing this distinction is critical for understanding immune dysregulation in neurodegenerative diseases. In this study, we applied a challenge-based ex vivo immune profiling approach to characterize functional immune responsiveness in patients with AD and in cognitively healthy older adults. Peripheral blood mononuclear cells were exposed to defined innate, antigenic, and mitogenic stimuli, and cytokine and β-amyloid (Aβ) responses were quantified in culture supernatants. Diagnosis-by-stimulus interaction effects were assessed using generalized …


Association Of Ultra-Processed Food Intake With Insulin Secretion And Sensitivity In Mexican American Children: Results From The Safari Study, Hemant Kulkarni, Rector Arya, Srinivas Mummidi, Sharon P. Fowler, Roy G. Resendez, Juan C. Lopez-Alvarenga, Vidya Farook, John Blangero Jul 2026

Association Of Ultra-Processed Food Intake With Insulin Secretion And Sensitivity In Mexican American Children: Results From The Safari Study, Hemant Kulkarni, Rector Arya, Srinivas Mummidi, Sharon P. Fowler, Roy G. Resendez, Juan C. Lopez-Alvarenga, Vidya Farook, John Blangero

Human Genetics Publications

Background/Objectives: There is increasing interest in and evidence for the role of ultra-processed foods (UPFs) in cardiometabolic risk. We tested the hypothesis that UPF intake score derived from dietary history is associated with measures of insulin secretion and sensitivity in a family setting even when the process of type 2 diabetes is still to ensue. Methods: We used data from our well-characterized San Antonio Family Assessment of Metabolic Risk Indicators in Youth (SAFARI) study cohort of nondiabetic children (aged 6–17 years). Dietary history was assessed using the Block Food Frequency Questionnaire. Outcomes of interest were 19 clinically useful indexes of …


Skilful Attacking Trades Off With Defensive Ability In Hermit Crabs, Joshua Le Pla, Sarah M. Lane, Mark Briffa Jul 2026

Skilful Attacking Trades Off With Defensive Ability In Hermit Crabs, Joshua Le Pla, Sarah M. Lane, Mark Briffa

School of Biological and Marine Sciences

The ability to win contests is crucial for securing the valuable resources individuals need to survive and reproduce. Fighting ability can thus be a vital determinant of fitness, and much research has been carried out to characterize the traits that influence fighting ability, or resource-holding potential (RHP). RHP is known to be influenced by a wide range of traits including morphology, physiology, vigour and, more recently, skill. These traits are typically analysed in isolation to identify their individual contributions to winning fights. However, relatively little is known about how different RHP traits may interact and potentially trade off against one …


Peripheral Nerve Sensory Fibers Are Recruited With Less Current And Greater Selectivity By Conventional Waveforms Compared With High-Frequency Waveforms, Janie Provencher, Harrison T. Finn, Janet L. Taylor, Simon C. Gandevia, Jane E. Butler, Martin E. Héroux Jul 2026

Peripheral Nerve Sensory Fibers Are Recruited With Less Current And Greater Selectivity By Conventional Waveforms Compared With High-Frequency Waveforms, Janie Provencher, Harrison T. Finn, Janet L. Taylor, Simon C. Gandevia, Jane E. Butler, Martin E. Héroux

Research outputs 2022 to 2026

Transcutaneous spinal stimulation aims to target dorsal spinal roots, which deliver sensory information to the spinal cord. However, the stimulation waveform that most effectively recruits sensory fibers at the lowest intensity has not been identified. The purpose of this study was to compare conventional and high-frequency burst-modulated stimulation waveforms in their ability to recruit sensory fibers, as assessed by H-reflex threshold, recruitment characteristics, and motor fiber activation. In participants with intact neurological function (n ¼ 12), soleus H-reflex recruitment curves were recorded for 10 stimulation waveforms: a conventional waveform (400 μs), serving as the reference condition, high-frequency burst-modulated waveforms (2, …


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 Jul 2026

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, …


Valorisation Potential Of Microalgae As A Sustainable Source Of Lipids And Health Promoting Compounds, Bozena Mccarthy Jul 2026

Valorisation Potential Of Microalgae As A Sustainable Source Of Lipids And Health Promoting Compounds, Bozena Mccarthy

Theses

The transition toward a circular bioeconomy requires sustainable strategies for managing and valorising food industry effluents while reducing reliance on environmentally damaging raw materials such as palm oil, which is associated with deforestation, biodiversity loss and greenhouse gas (GHGs) emissions. Microalgae represent a promising platform for converting nutrient rich industrial by-products into biomass and high-value compounds for food, nutraceutical and bio-based applications. Dairy processing generates large quantities of whey, creating environmental challenges due to its high organic load. Improved whey treatment and valorisation strategies are therefore essential for enhancing sustainability in food production systems. In this study, the biomass productivity …


Larger Is Not Always Better: Exploring Small Open-Source Language Models In Logging Statement Generation, Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu Jul 2026

Larger Is Not Always Better: Exploring Small Open-Source Language Models In Logging Statement Generation, Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Developers use logging statements to create logs that document system behavior and aid in software maintenance. As such, high-quality logging is essential for effective maintenance; however, manual logging often leads to errors and inconsistency. Recent methods emphasize using large language models (LLMs) for automated logging statement generation, but these present privacy and resource issues, hindering their suitability for enterprise use. This paper presents the first large-scale empirical study evaluating small open-source language models (SOLMs) for automated logging statement generation. We evaluate four prominent SOLMs using various prompt strategies and parameter-efficient fine-tuning techniques, such as Low-Rank Adaptation (LoRA) and Retrieval-Augmented Generation …


Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar Jul 2026

Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in safety-critical applications such as logistics, surveillance, disaster response, and urban air mobility. While their autonomy enables powerful capabilities, it also introduces vulnerabilities due to hardware faults, software defects, communication failures, and adversarial interference. This survey presents a comprehensive review of research studies closely related to UAV anomalies published between 2015 and 2025, covering 111 papers from academic and industrial sources. We introduce a unified five-pillar taxonomy—anomaly generation, prevention, detection, recovery, and analysis—that organizes existing work across the full anomaly management lifecycle. In contrast to prior surveys that focus primarily on detection algorithms, …


Variational Speculative Decoding: Rethinking Draft Training From Token Likelihood To Sequence Acceptance, Xiandong Zou, Jianshu Li, Jing Huang, Pan Zhou Jul 2026

Variational Speculative Decoding: Rethinking Draft Training From Token Likelihood To Sequence Acceptance, Xiandong Zou, Jianshu Li, Jing Huang, Pan Zhou

Research Collection School Of Computing and Information Systems

Speculative decoding accelerates inference for (M)LLMs, yet a training-decoding discrepancy persists: while existing methods optimize single greedy trajectories, decoding involves verifying and ranking multiple sampled draft paths. We propose Variational Speculative Decoding (VSD), formulating draft training as variational inference over latent proposals (draft paths). VSD maximizes the marginal probability of target-model acceptance, yielding an ELBO that promotes high-quality latent proposals while minimizing divergence from the target distribution. To enhance quality and reduce variance, we incorporate a path-level utility and optimize via an Expectation-Maximization procedure. The E-step draws MCMC samples from an oracle-filtered posterior, while the M-step maximizes weighted likelihood using …


Train In Vain: Functionality-Preserving Poisoning To Prevent Unauthorized Use Of Code Datasets, Yuan Xiao, Yuchen Chen, Jiaming Wang, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen Jul 2026

Train In Vain: Functionality-Preserving Poisoning To Prevent Unauthorized Use Of Code Datasets, Yuan Xiao, Yuchen Chen, Jiaming Wang, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen

Research Collection School Of Computing and Information Systems

The widespread availability of large-scale code datasets has accelerated the development of code large language models (CodeLLMs), raising concerns about unauthorized dataset usage. Dataset poisoning offers a proactive defense by reducing the utility of such unauthorized training. However, existing poisoning methods often require full-dataset poisoning and introduce transformations that break code compilability. In this paper, we introduce FunPoison, a functionality-preserving poisoning approach that injects short, compilable weak-use fragments into executed code paths. FunPoison leverages reusable statement-level templates with automatic repair and conservative safety checking to ensure side-effect freedom, while a type-aware synthesis module preserves type correctness, suppresses static-analysis warnings, and …


Inpatient Versus Outpatient Management Of Bilateral Optic Nerve Head Elevation Presentation To A Tertiary Emergency Department, Mengchen Suo, Johnny Lo, Fred K. Chen Jul 2026

Inpatient Versus Outpatient Management Of Bilateral Optic Nerve Head Elevation Presentation To A Tertiary Emergency Department, Mengchen Suo, Johnny Lo, Fred K. Chen

Research outputs 2022 to 2026

Introduction: Increased accessibility to fundus cameras has changed the referral pattern for patients with suspected bilateral optic nerve head elevation (BONHE) presenting to emergency departments (EDs). We aim to review the management of these patients to streamline the process. Methods: A retrospective review of patients with suspected BONHE referred to a tertiary centre ED between 2017 and 2022. We collected demographics, referral source, clinical assessment, neuroimaging and retinal imaging results. Final diagnosis and treatment outcomes were compared between those managed as inpatients and those managed as outpatients. Results: 100 patients were referred to the ED with a suspected BONHE. Most …


An Emergent Seafood Nationalism Takes Hold In The United States, Owen Temby Jul 2026

An Emergent Seafood Nationalism Takes Hold In The United States, Owen Temby

School of Earth, Environmental, & Marine Sciences Faculty Publications

This paper introduces the concept of ‘seafood nationalism’ to describe how, since 2024–2025, the United States increasingly uses tariffs, trade remedies, food safety enforcement and origin-based rules to favour American seafood over foreign products. Federal actions include Executive Order 14276, Restoring American Seafood Competitiveness, which directs agencies to address unfair trade practices, unsafe imports and to develop a coordinated seafood trade strategy. Additional measures include a tariff package imposing a 10% duty on nearly all seafood imports and 30% on seafood from China, as well as new anti-dumping and countervailing duty orders on warm-water shrimp. This paper presents Gulf …


Hsv-1 Us3 Hijacks Conserved Actin Regulatory Complexes To Drive F-Actin Remodeling, Md Imran Hossain, Md Arifuzzaman, Md Mehedi Hasan, Seung Jong Park, Leila Rahimian, Ojasvi Dutta, Vladimir Chouljenko, Harikrishnan Mohan, Reza Ghavimi, Konstantin G. Kousoulas Jul 2026

Hsv-1 Us3 Hijacks Conserved Actin Regulatory Complexes To Drive F-Actin Remodeling, Md Imran Hossain, Md Arifuzzaman, Md Mehedi Hasan, Seung Jong Park, Leila Rahimian, Ojasvi Dutta, Vladimir Chouljenko, Harikrishnan Mohan, Reza Ghavimi, Konstantin G. Kousoulas

Computer Science Faculty Research & Creative Works

The herpes simplex virus 1 (HSV-1) US3 is a multifunctional serine/threonine kinase that promotes HSV-1 replication and spread. But its role and the mechanisms by which US3 regulates actin cytoskeletal remodeling remain poorly defined. We combined flow cytometry, confocal microscopy, immunoprecipitation-mass spectrometry (IP-MS), protein complex mapping, and machine learning to characterize US3-mediated F-actin dynamics. Flow cytometry and confocal microscopy showed that wild-type HSV-1 induces significant F-actin remodeling, while the ΔUS3 mutant displays F-actin levels comparable to uninfected cells, identifying US3 as a key regulator. IP-MS identified 47 high-confidence US3 interactors enriched in conserved actin regulatory complexes, including Arp2/3 nucleation machinery, …


The Anchored: Issue 4, Summer 2026, Writer's Club Of The Hope-Western Prison Education Program Jul 2026

The Anchored: Issue 4, Summer 2026, Writer's Club Of The Hope-Western Prison Education Program

The Anchored

The Anchored is a quarterly publication of the Writer’s Club of the Hope-Western Prison Education Program.


Pearson Syndrome: Expanding The Clinical Spectrum Of A Mitochondrial Cytopathy-A Case Report, Alizah Faisal, Hooria Waqas, Hania Masood, Armeen Butt, Saad Rahman, Muhammad Sheraz Hameed, Syed Rafay Hussain Zaidi, Ali Iqbal, Muhammad Usama Naveed Jul 2026

Pearson Syndrome: Expanding The Clinical Spectrum Of A Mitochondrial Cytopathy-A Case Report, Alizah Faisal, Hooria Waqas, Hania Masood, Armeen Butt, Saad Rahman, Muhammad Sheraz Hameed, Syed Rafay Hussain Zaidi, Ali Iqbal, Muhammad Usama Naveed

Department of Medicine Faculty Papers

BACKGROUND: Pearson syndrome (PS) is a rare multisystem mitochondrial disorder characterized by single large-scale mitochondrial DNA deletions (SLSMDs). It typically presents in infancy with refractory sideroblastic anemia, exocrine pancreatic insufficiency, and failure to thrive. Due to its heterogeneous manifestations and resemblance to other hematological conditions, early diagnosis remains a clinical challenge.

CASE PRESENTATION: A south asian male infant presented with persistent pancytopenia, severe anemia unresponsive to intravenous and oral iron and multivitamin supplements, exocrine pancreatic insufficiency, failure to thrive, and metabolic acidosis. Born to consanguineous parents, the child had a significant family history of early infant deaths and hematological abnormalities. …


Multi-Angle Dynamic Light Scattering Experiments With Real-Time Autocorrelation Using Field-Programmable Gate Arrays, Spiros Simotas Jul 2026

Multi-Angle Dynamic Light Scattering Experiments With Real-Time Autocorrelation Using Field-Programmable Gate Arrays, Spiros Simotas

Theses and Dissertations from DePaul University

Dynamic light scattering (DLS) determines particle size from temporal fluctuations in coherently scattered light. Here a field-programmable gate array (FPGA) computes intensity autocorrelations in real time, and an automated diffractometer with custom 3D-printed cuvette, laser, homing, and GT2-gear mounts enables multi-angle measurements. Square-wave timing tests at 1 Hz, 100 Hz, and 10 kHz verified the correlator response. Calibrated latex spheres were then measured at seven scattering angles from 32.5◦ to 44.5◦. Each autocorrelation function was fit to the standard single-exponential form g(τ ) = B + βe−2Γτ with weights from analytic per-lag Poisson uncertainties σg = pg/N based on coincidence …


Prototyping Of A Spectropolarimetry Module For Lenslet-Based Integral Field Spectrographs, Manasa Lakshmi Narasimhan Jul 2026

Prototyping Of A Spectropolarimetry Module For Lenslet-Based Integral Field Spectrographs, Manasa Lakshmi Narasimhan

Theses

Integral-field spectropolarimetry enables simultaneous spatial, spectral, and polarization measurements. Observations of polarized light allow researchers to map magnetic fields, distinguish scattering from intrinsic emission, and characterize the geometry of sources illuminating the large-scale dust distribution within and around galaxies. In tandem with spectral information, polarized emission can be used to detail the kinematics of dust expelled from galaxies and to probe the underlying spectrum of scattered light—measurements that help constrain key open questions such as the missing baryon problem and the role of feedback in galaxy evolution. However, spectropolarimetry is a rare capability among ground-based observatories. This thesis showcases a …


Comparing Deposition-Dependent Variations In Tungsten Oxide Thin-Film Composition Using X-Ray Photoelectron Spectroscopy, Tevfik Ozkaynak Jul 2026

Comparing Deposition-Dependent Variations In Tungsten Oxide Thin-Film Composition Using X-Ray Photoelectron Spectroscopy, Tevfik Ozkaynak

Theses

In this work, tungsten oxide thin films were fabricated using magnetron sputter deposition and electron beam evaporation under varying oxygen conditions to produce a range of stoichiometries, including substoichiometric compositions near WO₂.₇. The primary goal was to evaluate how reliably X-ray photoelectron spectroscopy (XPS) can quantify the stoichiometry of WOₓ thin films, determine how deposition conditions influence measured composition and oxidation states, and assess how argon ion sputtering, used for surface cleaning, alters tungsten oxidation states and affects XPS based stoichiometry. The films were analyzed using XPS under ultra-high vacuum conditions. Survey spectra were used to identify elemental composition, while …


Bison Health Network Newsletter, July 2026, Bison Health Network Jul 2026

Bison Health Network Newsletter, July 2026, Bison Health Network

Bison Health Network News

Newsletter Content:

Updates
Network Demographics
Health Highlight: Clostridial Disease
Proper vaccine handling matters.
Management practices help reduce risk.


Assessing The Imprint Of Eccentricity In Gravitational-Wave Signatures, Natalie Malagon Jul 2026

Assessing The Imprint Of Eccentricity In Gravitational-Wave Signatures, Natalie Malagon

Theses

The gravitational wave signal from merging compact binaries encodes information about their orbital and intrinsic properties. Over the last few years, state-of-the-art waveform models have begun to incorporate the effects of orbital eccentricity into their estimated signal. Over a similar period, many groups have applied these waveforms to characterize whether the imprint of eccentricity is present and, if so, measure this time-evolving property (at a suitably-defined reference point). In this work, we present a comprehensive analysis of 173 confident sources identified in the O1 through O4a observing runs of the International Gravitational Wave Network (LIGO-Virgo-KAGRA). Using the RIFT parameter inference …


Large Language Model-Driven Agents In Virtual Reality For Inclusive Communication Training, Ziming Li Jul 2026

Large Language Model-Driven Agents In Virtual Reality For Inclusive Communication Training, Ziming Li

Theses

Vocational training programs aimed at improving the employability and autonomy of autistic individuals primarily focus on enhancing social communication skills. However, developing and implementing such training activities often demands significant time and effort from job coaches, who must adapt to various interview and workplace scenarios while customizing the training to meet the specific needs of autistic trainees. These challenges create barriers for job coaches to efficiently train autistic individuals and objectively evaluate their performance. To address these challenges, this dissertation explores the use of virtual reality (VR) and large language model (LLM)-driven agents to create customizable and interactive training platforms …


The Use Of Assisted Repeated Reading To Increase Fluency And Comprehension Among Adolescent English Language Learners, Matthew J. Wentzell Jul 2026

The Use Of Assisted Repeated Reading To Increase Fluency And Comprehension Among Adolescent English Language Learners, Matthew J. Wentzell

School of Education and Leadership Student Capstone Theses and Dissertations

Wentzell, M. (2026). The Use of Assisted Repeated Reading to Increase Fluency and Comprehension Among Adolescent English Language Learners

The purpose of this study was to examine the impact of audio-assisted repeated reading on fluency and comprehension among adolescent English learners and gauge their opinions on the intervention and its impact on their reading ability. Areas of exploration within the literature review included the evolution of fluency research, the relationship between fluency, prosody, and comprehension, and fluency within the context of English learners. Additionally, the literature review encompassed the strategy of repeated reading with and without audio-assistance and its …


The Limits Of Disclosure: Artificial Intelligence, Arbitration, And The Illusion Of Informed Consent, Rishi Batra Jul 2026

The Limits Of Disclosure: Artificial Intelligence, Arbitration, And The Illusion Of Informed Consent, Rishi Batra

Journal of Dispute Resolution

Consider the following scenario: A warehouse worker brings a wage and hour claim against her employer under her state's labor code. Her employment contract, which she signed on her first day of work, contains a mandatory arbitration clause that she did not negotiate, did not fully read, and — like most employees in her situation — did not fully understand. An arbitrator is appointed, a hearing is held, and an award is issued in the employer's favor several weeks later, denying the employee's claims entirely. The award is well-organized and internally consistent, addressing each of the worker's claims with what …


A Decade Of Change: Technology’S Impact On Negotiation Deepens In The Age Of Ai, Noam Ebner Jul 2026

A Decade Of Change: Technology’S Impact On Negotiation Deepens In The Age Of Ai, Noam Ebner

Journal of Dispute Resolution

When people consider the notion of negotiation changing, they tend to look first toward that magnificent negotiation construct, “the table.” Here are some immediately apparent areas of table-novelty: • There is often a screen on our table, rather than another person sitting across from us. • The table we “go” to negotiate at is not in our office or that of our counterpart; rather, it is a communications system such as email or an online platform developed by a third-party provider. • The table, in its online-platform form, sometimes structures process and facilitates communication in ways that our trusty old …


Reports Of Legal Writing’S Death Are Greatly Exaggerated: Why Generative Ai Will Not Kill The Craft, Jayne T. Woods Jul 2026

Reports Of Legal Writing’S Death Are Greatly Exaggerated: Why Generative Ai Will Not Kill The Craft, Jayne T. Woods

Journal of Dispute Resolution

In preparing for this essay, I typed the phrase “legal writing is” into Google to see how common searches finished the thought. The only completed thought to appear was “legal writing is hard.” Amen. Legal writing is an amalgamation of logical reasoning, cognitive psychology, classical rhetoric, legal terminology, legal citation, and proper grammar and style, all of which must result in a product accessible to readers of all education levels. When generative AI arrived, producing cogent, plausible legal prose in seconds, it led many to believe that writing, generally, and legal writing, specifically, had reached the end of days.


Beyond City Limits: Access To Adr And Child Client-Directed Counsel In Missouri’S Rural Family Courts, Reghan Matlock Jul 2026

Beyond City Limits: Access To Adr And Child Client-Directed Counsel In Missouri’S Rural Family Courts, Reghan Matlock

Journal of Dispute Resolution

Reba McEntire once sang, “Don’t trust your soul to no backwoods southern lawyer”—a warning that still echoes in today’s debates about rural justice and representation. The catchy murder ballad captures a story driven by dramatic family ties and a broken justice system. While the song exaggerates for effect, it taps into a realistic concern: an existing divide in access to justice between rural and urban communities. This divide impacts all areas of law, including family law—where concerns about confidentiality and privacy are heightened because small communities make it difficult to shield sensitive matters from public view. The divide is troubling, …


Mapping Dna Methylation Signatures To Identify Epigenetic Variation Across Subcortical Regions Of The Human Posttraumatic Stress Disorder Brain, Hongyu Li, Yujing Liu, Yiming Shi, Jiawei Wang, Tuan P Nguyen, Yuhan Xie, Wangjie Zheng, Youshu Cheng, Dianne A Cruz, Jennifer L Modliszewski, Rosemarie Terwilliger, Alexa-Nicole Sliby, José Jaime Martínez-Magaña, Janitza L Montalvo-Ortiz, John D Roache, Lynnette A Averill, Stacey Young-Mccaughan, Paulo R Shiroma, Bertrand R Huber, David A Lewis, Jill Glausier, Paul Holtzheimer, Matthew J Friedman, Jing Zhang, Alan L Peterson, Chadi G Abdallah, Amir Valizadeh, Xinyu Zhang, Ke Xu, John H Krystal, Ronald S Duman, Hongyu Zhao, David L Corcoran, Douglas E Williamson, Matthew J Girgenti Jul 2026

Mapping Dna Methylation Signatures To Identify Epigenetic Variation Across Subcortical Regions Of The Human Posttraumatic Stress Disorder Brain, Hongyu Li, Yujing Liu, Yiming Shi, Jiawei Wang, Tuan P Nguyen, Yuhan Xie, Wangjie Zheng, Youshu Cheng, Dianne A Cruz, Jennifer L Modliszewski, Rosemarie Terwilliger, Alexa-Nicole Sliby, José Jaime Martínez-Magaña, Janitza L Montalvo-Ortiz, John D Roache, Lynnette A Averill, Stacey Young-Mccaughan, Paulo R Shiroma, Bertrand R Huber, David A Lewis, Jill Glausier, Paul Holtzheimer, Matthew J Friedman, Jing Zhang, Alan L Peterson, Chadi G Abdallah, Amir Valizadeh, Xinyu Zhang, Ke Xu, John H Krystal, Ronald S Duman, Hongyu Zhao, David L Corcoran, Douglas E Williamson, Matthew J Girgenti

Staff and Researcher Publications

Background: Posttraumatic stress disorder (PTSD) is a mental disorder that may occur in the aftermath of severe psychological trauma. Epigenetic changes in the brain may play a critical role in understanding the neurobiology of PTSD by linking environmental traumatic stress exposure to lasting alterations in gene expression that shape neuronal function.

Methods: We examined 1,065,750 DNA methylation (DNAm) sites from 171 donors including neurotypical controls and PTSD and major depressive disorder (MDD) cases across 6 regions implicated in the fear circuitry of the brain. We performed RNA sequencing (RNA-seq) to examine changes in gene expression and linked these changes to …


Glacier Elevation Difference Data For The Conterminous U.S., Andrew G. Fountain, Bryce Allen Glenn, Christopher Mcneil, Brian Menounos Jul 2026

Glacier Elevation Difference Data For The Conterminous U.S., Andrew G. Fountain, Bryce Allen Glenn, Christopher Mcneil, Brian Menounos

Geology Faculty Datasets

Historic and recent elevation data for the glaciers in the conterminous US were differenced to estimate glacier mass and volume change.

Historic glacier elevations were obtained from the USGS National Elevation Dataset (https://doi.org/10.15760/geology-data.04), a digitized product from the USGS 1:24,000 paper topographic maps that included the glacier extent (Gesch, 2007). Recent glacier elevations were derived from aerial lidar and from satellite radar. The lidar data were largely obtained from the USGS 3D Elevation Program (Stoker and Miller, 2022; US Geological Survey, 2024), and filtered by acquisition date using only those data collected between mid-summer and early autumn. The …