Digital Commons Network^™

Children And Young People's Self-Reported Experiences Of Asthma And Self-Management Nursing Strategies: An Integrative Review, H. Kemble, Mandie Foster, J. Blamires, R. Mowat

Research outputs 2022 to 2026

Aim: To explore children and young people's (CYP) (5–24 years of age) self-reported experiences of asthma self-management strategies (ASMS) with nursing involvement across various settings. Background: Childhood asthma is an increasingly significant health issue, highlighting the importance of acquiring self-management skills to optimise future health outcomes. Registered nurses play a pivotal role in delivering appropriate, personalized self-management support. Methods: This integrative review searched four electronic databases: Cumulated Index to Nursing and Allied Health Literature via Elton B. Stephens Company, Medical Literature Analysis and Retrieval System Online (MEDLINE), Object, View and Interactive Design (OVID), and PubMed, that followed the Preferred Reporting …

Allied Health Professionals Knowledge And Clinical Practice In Telehealth Exercise Behavioural Change For Multiple Sclerosis, Georgios Mavropalias, Shavaughn L. Baynton, Shaun Teo, Sarah J. Donkers, Fleur Eca Van Rens, Yvonne C. Learmonth

Research outputs 2022 to 2026

Background: The growing importance of telehealth in multiple sclerosis (MS) necessitates an understanding of current practices and training needs of health professionals. We aimed to evaluate the knowledge, preparedness, and training preferences of Australian allied health professionals (AHPs) in telehealth exercise therapy and exercise behavioural change for MS patients to inform the development of educational training. Methods: An online survey was completed by 58 Australian AHPs, including 34 physiotherapists, 14 exercise physiologists, and 10 occupational therapists, focusing on their current practices, preparedness, and training preferences in telehealth exercise and behavioural change for MS. The survey included multiple-choice, Likert scale, and …

Resilient Forward Osmosis Membranes Against Microplastics Fouling Enhanced By Mwcnts/Uio-66-Nh2 Hybrid Nanoparticles, Mitra Golgoli, Javad Farahbakhsh, Mohadeseh Najafi, Mehdi Khiadani, Michael L. Johns, Masoumeh Zargar

Research outputs 2022 to 2026

The escalating presence of microplastics (MPs) in wastewater necessitates the investigation of effective tertiary treatment process. Forward osmosis (FO) emerges as an effective non-pressurized membrane process, however, for the effective implementation of FO systems, the development of fouling-resistance FO membranes with high-performance is essential. This study focuses on the integration of MWCNT/UiO-66-NH2 as metal-organic frameworks (MOFs) and multi-wall carbon nanotubes (MWCNT) nanocomposites in thin film composite (TFC) FO membranes, harnessing the synergistic power of hybrid nanoparticles in FO membranes. The results showed that the addition of MWCNT/UiO-66-NH2 in the aqueous phase during polyamide formation changed the polyamide surface structure, and …

Application Of Event Cameras And Neuromorphic Computing To Vslam: A Survey, Sangay Tenzin, Alexander Rassau, Douglas Chai

Research outputs 2022 to 2026

Simultaneous Localization and Mapping (SLAM) is a crucial function for most autonomous systems, allowing them to both navigate through and create maps of unfamiliar surroundings. Traditional Visual SLAM, also commonly known as VSLAM, relies on frame-based cameras and structured processing pipelines, which face challenges in dynamic or low-light environments. However, recent advancements in event camera technology and neuromorphic processing offer promising opportunities to overcome these limitations. Event cameras inspired by biological vision systems capture the scenes asynchronously, consuming minimal power but with higher temporal resolution. Neuromorphic processors, which are designed to mimic the parallel processing capabilities of the human brain, …

High–Strength Porous Tinbzrtafe Alloys Fabricated By Sintering Of Nanocomposite Powder Precursor With Space Holder Technique, Yuhua Li, Yuxin He, Rong Zhao, Libin Niu, Juxin Qu, Lai Chang Zhang

Research outputs 2022 to 2026

Although introducing high porosity in biomedical Ti alloys can reduce their elastic modulus and promote new bone ingrowth, relieving the stress–shielding effect and implant failure, this also causes a decline in the alloys’ mechanical strength. In this work, a new preparation method for the high–strength and high–porosity Ti65Nb23.33Zr5Ta1.67Fe5 (TNZTF, at.%) alloy was suggested by sintering nanocomposite powder precursor in combination with the use of a space holder technique, in which NH4HCO3 is adopted to achieve a porous structure. The highly porous TNZTF alloy possesses a homogeneous fine–grained microstructure consisting of equiaxed α–Ti and a small amount of FeTi2, the latter …

Label-Free Surface-Enhanced Raman Spectroscopy Coupled With Machine Learning Algorithms In Pathogenic Microbial Identification: Current Trends, Challenges, And Perspectives, Jia Wei Tang, Quan Yuan, Xin Ru Wen, Muhammad Usman, Alfred Chin Yen Tay, Liang Wang

Research outputs 2022 to 2026

Infectious diseases caused by microbial pathogens remain a primary contributor to global health burdens. Prompt control and effective prevention of these pathogens are critical for public health and medical diagnostics. Conventional microbial detection methods suffer from high complexity, low sensitivity, and poor selectivity. Therefore, developing rapid and reliable methods for microbial pathogen detection has become imperative. Surface-enhanced Raman Spectroscopy (SERS), as an innovative non-invasive diagnostic technique, holds significant promise in pathogenic microorganism detection due to its rapid, reliable, and cost-effective advantages. This review comprehensively outlines the fundamental theories of Raman Spectroscopy (RS) with a focus on label-free SERS strategy, reporting …

Strengthening Power Systems For Net Zero: A Review Of The Role Of Synchronous Condensers And Emerging Challenges, Hamid Soleimani, Daryoush Habibi, Mehrdad Ghahramani, Asma Aziz

Research outputs 2022 to 2026

System strength is both supplied and demanded in a power system during normal operations and in the presence of disturbances. This is characterised by stable voltage and frequency, supporting renewable generation such as wind and solar. Because the retirement of synchronous generators reduces system strength supply, and the connection of new inverter-based resource (IBR) generators increases demand, there is an urgent need for new sources of system strength. This paper provides an overview of the challenges brought about by grid modernisation. It highlights tangible solutions provided by synchronous condensers (SCs) to bolster grid strength, stability, and reliability while accommodating the …

Testing Multiple Environmental Dna Substrates For Detection Of The Cryptic And Critically Endangered Burrowing Freshwater Crayfish Engaewa Pseudoreducta, Kathryn L. Dawkins, Paul Nevill, Brian Chambers, Shane Herbert, Quinton F. Burnham

Research outputs 2022 to 2026

Effective conservation of endangered species depends on knowledge of their distributions, but species detection can often be challenging. An example of this is provided by the Critically Endangered Margaret River burrowing crayfish (Engaewa pseudoreducta), which is highly cryptic. Due to the burrowing habit of this crayfish, detection of this species currently requires a great deal of effort, the results are often non-conclusive, and, as it involves manual excavation of their burrows, the habitat of this and other species is destroyed in the detection process. In response to these challenges, this study developed and optimized a species-specific probe-based qPCR assay targeting …

The Mccusker Subjective Cognitive Impairment Inventory (Mcsci): A Novel Measure Of Perceived Cognitive Decline, Hamid R. Sohrabi, Brandon E. Gavett, Michael Weinborn, Craig P. Speelman, Romola S. Bucks, Ralph N. Martins

Research outputs 2022 to 2026

Background: Subjective cognitive decline (SCD), i.e. self/other-reported concerns on one’s cognitive functioning without objective evidence of significant decline, is an indicator of dementia risk. There is little consensus on reliability and validity of the available SCD measures. Therefore, introducing a novel and psychometrically sound measure of SCD is timely.

Objective: The psychometric properties of a new SCD measure, the McCusker Subjective Cognitive Impairment Inventory–Self-Report (McSCI-S), are reported.

Methods: Through review of previously published measures as well as our clinical and research data on people with SCD, we developed a 46-item self-report questionnaire to assess concerns on six cognitive domains, namely, …

The Relationship Between Diet, Depression, And Alzheimer's Disease: A Narrative Review, Hilal Salim Said Al Shamsi, Stephanie R. Rainey-Smith, Samantha L. Gardener, Hamid R. Sohrabi, Rodrigo Canovas, Ralph N. Martins, Warnakulasuriya Mary Ann Dipika Binosha Fernando

Research outputs 2022 to 2026

Purpose of Review: This narrative review evaluates the role of diet in the relationship between depression and Alzheimer's disease (AD). Recent Findings: AD and depression are often comorbid, and depression appears to independently increase the future risk of AD. Evidence suggests diet influences the risk of both conditions directly and indirectly. Diet impacts neurochemical and biological processes that may affect the development and progression of depression and cognitive dysfunction. The dietary components offering the greatest protection against depression and AD are yet to be determined. Current evidence highlights the importance of polyphenolic compounds, folate, B vitamins, and polyunsaturated fatty acids, …

Toward Biodefence: A Framework For The Mitigation Of Malicious Threats To Livestock Production Enterprises In Australia, Deborah Evans, Michael Coole, David J. Brooks

Research outputs 2022 to 2026

Biosecurity underpins the Australian agricultural sector, estimated to be worth $51 billion in exports and trade, $50 billion in tourism, $5.7 trillion in environmental assets, and more than 1.6 million jobs. Given the value to the Australian economy and the potential consequences of a deliberately introduced biological agent, measures to prevent malicious biosecurity threats are critical for national security. Using the framework of Situational Crime Prevention (SCP), the study examined recommended biosecurity practices for cattle production enterprises in Australia and explored the extent to which the Australian biosecurity framework is underpinned by preventative security. The study found the existing biosecurity …

Consensus Guidelines For The Monitoring And Management Of Metachromatic Leukodystrophy In The United States, Laura A Adang, Joshua L Bonkowsky, Jaap Jan Boelens, Eric Mallack, Rebecca Ahrens-Nicklas, John A Bernat, Annette Bley, Barbara Burton, Alejandra Darling, Florian Eichler, Erik Eklund, Lisa Emrick, Maria Escolar, Ali Fatemi, Jamie L Fraser, Amy Gaviglio, Stephanie Keller, Marc C Patterson, Paul Orchard, Jennifer Orthmann-Murphy, Jonathan D Santoro, Ludger Schöls, Caroline Sevin, Isha N Srivastava, Deepa Rajan, Jennifer P Rubin, Keith Van Haren, Melissa Wasserstein, Ayelet Zerem, Francesca Fumagalli, Lucia Laugwitz, Adeline Vanderver

Faculty, Staff and Students Publications

Metachromatic leukodystrophy (MLD) is a fatal, progressive neurodegenerative disorder caused by biallelic pathogenic mutations in the ARSA (Arylsulfatase A) gene. With the advent of presymptomatic diagnosis and the availability of therapies with a narrow window for intervention, it is critical to define a standardized approach to diagnosis, presymptomatic monitoring, and clinical care. To meet the needs of the MLD community, a panel of MLD experts was established to develop disease-specific guidelines based on healthcare resources in the United States. This group developed a consensus opinion for best-practice recommendations, as follows: (i) Diagnosis should include both genetic and biochemical testing; (ii) …

First-In-Human Hyperpolarized Mri For Tumor Metabolism In Hnscc, Stephen Y Lai, Vlad C Sandulache, Dawid Schellingerhout, Clifton D Fuller, Yunyun Chen, Christopher M Walker, James A Bankson

Faculty, Staff and Student Publications

This case report describes the use of hyperpolarized magnetic resonance imaging (MRI) in a patient with head and neck squamous cell carcinoma (HNSCC) to demonstrate its translational viability.

Progressive Thrombocytopenia, Splenomegaly, And Abnormal Tone In An Infant With Growth Faltering, Gal Barak, Gail Demmler-Harrison, Linda Rossetti, Venée N Tubman, Ameya S Walimbe, Rathi Asaithambi

Faculty, Staff and Students Publications

A 4-month-old full-term female presented with growth faltering associated with progressive feeding difficulty, rash, abdominal distension, and developmental delays. She was found to have disconjugate gaze, abnormal visual tracking, mixed tone, bruising, and splenomegaly on examination. Initial workup was notable for thrombocytopenia and positive cytomegalovirus (CMV) immunoglobulin G and immunoglobulin M antibodies. She initially presented to the infectious diseases CMV clinic, where she was noted to have severe malnutrition, prompting referral to the emergency department for hospital admission to optimize nutrition with nasogastric tube feeding and facilitate additional evaluation. An active CMV infection with viruria and viremia was confirmed, but …

When Trust In Ai Mediates: Ai News Use, Public Discussion, And Civic Participation, Seungahn Nah, Fanjue Liu, Chun Shao, Ekaterina Romanova, Gwiwon Nam

College of Communication Faculty Research and Publications

Artificial intelligence (AI), since its marked proliferation in the mid-2010s, has significantly penetrated various sectors, becoming a transformative force that necessitates ongoing refinement of communication strategies and political dynamics by stakeholders. Drawing on the Orientation-Stimulus-Reasoning-Orientation-Response (O-S-R-O-R) model, this study delves into the role of AI news consumption in participatory democracy. Using data from a nationwide survey (N = 1,252), the study assesses a mediation model that proposes a multilayered process through which AI news consumption facilitates civic participation. The findings reveal that AI news consumption across different media platforms is positively linked with civic participation, facilitated by both online …

Spatial Microsimulation Of Carbon Tax Incidence: An Application To Washington State, Nathan W. Chan, Susan Stratton Sayre

Economics: Faculty Publications

Understanding carbon tax incidence is critical. However, standard approaches for calculating the incidence of subnational policies are prone to inaccuracy due to coarse aggregation. We evaluate an alternative approach: a spatial microsimulation (SMS) method that generates granular household-level incidence estimates. SMS provides unique and more nuanced insights into the distributional consequences of carbon taxes, including across geographies. We demonstrate this method for a recent carbon tax initiative in Washington State and counterfactual variations on its revenue recycling provisions. Comparing across counterfactuals, we pinpoint how different targeting provisions in revenue recycling designs will have disparate consequences for the progressivity/regressivity of the …

Negotiating Police Reform, Cynthia Alkon

Faculty Scholarship

In the summer of 2020, after the murder of George Floyd, the national conversation around police reform intensified and was part of a conversation with students at Texas A&M University School of Law. Students wanted more discussion and teaching about police, police misconduct, police reform, and defunding the police. Following those discussions, I created a simulation on local level police reform that, as of this writing, I have used twice in my negotiation class. Simulations are helpful teaching tools in a variety of settings, including law schools. Simulations can be particularly useful to help students discuss difficult topics in different …

Depressive Symptoms Are Associated With C-Reactive Protein In Older Adults With Obesity, Henry D Heisey, Clifford Qualls, Dennis T Villareal, Martha Belen Segoviano-Escobar, Maria Liza Duremdes Nava, Jennifer R Gatchel, Mark E Kunik

Faculty, Staff and Students Publications

OBJECTIVES: To test the hypothesis that depressive symptoms vary with high-sensitivity C-reactive protein (hs-CRP), among older adults with obesity.

METHODS: This was a cross-sectional, secondary analysis of baseline data from two related lifestyle intervention trials. The study sample comprises 148 consecutively recruited, community-dwelling older adults (age >=65 years) without severe psychiatric illness and with body mass index >=30 kg/m

RESULTS: Sample mean GDS score was 2.7 (SD 3.0, range 0 - 14). A significant multivariate model of GDS scores (R

CONCLUSIONS: In older adults with obese BMI, male sex and higher hs-CRP are associated with depression, even in a group …

Evaluation Of Tibial Slope On Radiographs In Pediatric Patients With Tibial Spine Fractures: An Age- And Sex-Matched Study, Chang Ho Shin, Akbar N Syed, Morgan E Swanson, Indranil V Kushare, Kevin G Shea, Asteroid, Theodore J Ganley, Soroush Baghdadi, Aristides I Cruz, Henry B Ellis, Peter D Fabricant, Theodore J Ganley, Daniel W Green, Alicia Kerrigan, Julia Kirby, Mininder Kocher, Indranil V Kushare, R Jay Lee, James P Macdonald, Scott D Mckay, Shital N Parikh, Neeraj M Patel, Yi-Meng Yen, Gregory A Schmale, Kevin G Shea, R Justin Mistovich

Faculty, Staff and Students Publications

BACKGROUND: A recent study has reported that the radiographic measurement of posterior tibial slope (PTS) is larger in male pediatric patients with tibial spine fractures (TSF) than in controls. However, they found no difference in PTS between female patients and controls.

PURPOSE: (1) To identify whether PTS is larger in female pediatric patients with TSF than in female controls and (2) to validate the relationship between PTS and pediatric TSF in male patients.

STUDY DESIGN: Cross-sectional study; Level of evidence, 3.

METHODS: After an a priori power analysis, 84 pediatric patients with TSF (50 female patients and 34 male patients) …

Seagrass Ecosystem Recovery: Experimental Removal And Synthesis Of Disturbance Studies, Spencer J. Tassone, Carolyn J. Ewers Lewis, Karen J. Mcglathery, Michael L. Pace

Michigan Tech Publications

Net global losses of seagrasses have accelerated efforts to understand recovery from disturbances. Stressors causing disturbances (e.g., storms, heatwaves, boating) vary temporally and spatially within meadows potentially affecting recovery. To test differential recovery, we conducted a removal experiment at sites that differed in thermal stress for a temperate seagrass (Zostera marina). We also synthesized prior studies of seagrass recovery to assess general patterns. Seagrass shoots were removed from 28.3 m2 plots at edge and central sites of a meadow in South Bay, Virginia, USA. We hypothesized faster recovery for edge plots where greater oceanic exchange reduces thermal stress. Contrary to …

Privacy-Preserving Information Fusion Technique For Device To Server-Enabled Communication In The Internet Of Things: A Hybrid Approach, Amal Al-Rasheed, Rahim Khan, Tahani Alsaed, Mahwish Kundi, Mohamad Hanif Md. Saad, Mahidur R. Sarker

Artículos científicos

Due to the overwhelming characteristics of the Internet of Things (IoT) and its adoption in approximately every aspect of our lives, the concept of individual devices’ privacy has gained prominent attention from both customers, i.e., people, and industries as wearable devices collect sensitive information about patients (both admitted and outdoor) in smart healthcare infrastructures. In addition to privacy, outliers or noise are among the crucial issues, which are directly correlated with IoT infrastructures, as most member devices are resource-limited and could generate or transmit false data that is required to be refined before processing, i.e., transmitting. Therefore, the development of …

July 2024 Louisiana Bar Exam, Louisiana Supreme Court Committee On Bar Admissions

Louisiana Bar Exams

No abstract provided.

Guess Who?: First-Time In-Court Identifications And Due Process, Natalie Beers

Washington and Lee Law Review

Juries believe eyewitnesses. When an identifying eyewitness takes the stand and points to a defendant in a courtroom, the jury is more likely to render a guilty verdict. But how reliable is that identification? What if the eyewitness is on the stand identifying a perpetrator for the first time, in the court room, rather than at the police station with a lineup or photo array? How do those suggestive circumstances implicate a criminal defendant’s due process rights?

First-time in-court identifications are inherently suggestive. While the Supreme Court has acknowledged the suggestive nature of similar identifications, it did not directly address …

The Brain Is In Your Court: Evaluating Intellectual Property Infringement Audience Through The Lens Of Neuroscience, Madyson Kent

Washington and Lee Law Review

To protect creations of the mind, the law needs to understand the mind. Thankfully, the rapidly emerging field of neuroscience provides an invaluable glimpse into the inner workings of the human brain. Now that scientific instruments provide a window into the living brain, it is time to reexamine the way intellectual property law decides the outcomes of infringement lawsuits.

Critically examining neuroscience in the context of the law helps to answer the most fundamental question in an intellectual property lawsuit: Was there infringement? A judicial hesitancy to understand the thought processes of artists and creators results in relying on the …

Role Of Partial Requirement Tariffs And Standby Charges In Microgrid Adoption In Ohio, Matthew R. Fulton, Andrew R. Thomas

All Maxine Goodman Levin School of Urban Affairs Publications

Utility partial load tariffs can be used to enable microgrids to be connected to distributions systems. While partial load tariffs can be avoided by connecting the microgrid directly to the transmission grid, this strategy is likely to be more effective for larger microgrids (e.g. 10 MW). But partial load tariffs – if suitably designed -- can be very useful to enabling smaller microgrid development.

North Atlantic Arctic Crisis Workshop (Naacw), Coastal Response Research Center/Center For Spills & Environmental Hazards (Crrc/Cse), Unh Department Of Security Studies And The New England Arctic Network (Nean), Ted Stevens Center For Arctic Security Studies

Coastal Response Research Center

On December 12-13, 2023, the U.S. Department of Defense (USDOD) Ted Stevens Center for Arctic Security Studies (TSC) held a workshop at the University of New Hampshire (UNH) entitled the North Atlantic Arctic Crisis Workshop (NAACW). The workshop was facilitated by the UNH Center for Spills and Environmental Hazards (CSE) which is co-located with NOAA’s Coastal Response Research Center (CRRC). Many workshops have been held to address security issues in the Bering, Beaufort, and Chukchi Seas, but few have focused on the North Atlantic Arctic (NAA), though there are many potential climate change, infrastructure and environment-related challenges that could arise …

Identifying Goalkeeper Movement Timing From Single-Camera Broadcast Footage Through Pose Estimation: A Pilot Study, Reddy Chethan, Woohyoung Jeon

Health & Kinesiology Faculty Publications and Presentations

Featured Application: This research describes a methodology for identifying the moment when a goalkeeper initiates their save attempt in the frontal plane, providing a way to benchmark the timing component of a save attempt. This study explores how open-source pose estimation can be utilized to identify goalkeeper dive initiation during soccer penalty kicks. The purpose of this study is to provide an accessible, low-cost heuristic methodology for identifying goalkeeper dive initiation. This study uses single-camera broadcast footage (1080 p resolution, 50 frames per second) of all 41 penalty shootout kicks attempted during the 2022 FIFA Men’s World Cup. We isolated …

Balloon Borne Gps-Enabled Radiosondes That Enable Simultaneous Multi-Point Atmospheric Sensing With A Single Ground Station, Peter A. Ribbens

Doctoral Dissertations and Master's Theses

Radiosondes are balloon borne atmospheric instruments that are a critical tool for understanding dynamics in the lower layers of the atmosphere. The low-cost radiosondes developed in the Space and Atmospheric Instrumentation Lab have been further developed to improve the system's use as a science-quality atmospheric instrument that is unique in its ability to simultaneously track multiple sondes with a single ground station. Sensors to measure temperature and pressure were added to improve measurements of the atmospheric state. A printed circuit board shield and 3D-printed shell were designed to make mass manufacturing possible. A thermistor-based temperature sensor was developed and tested …

Optimization Of A Plate Beam System For Energy Harvesting Using A Piezoelectric Material, Jose Manuel Almendros Espantaleon

Doctoral Dissertations and Master's Theses

With a continuously growing demand for power, driven by the need to reduce our environmental footprint, this research provides an examination of the potential of energy harvesting with smart materials technology and its practical applications. The energy harvesting system considered here works on generating energy through vibrations of a piezoelectric material beam which will undergo sustained vibrations due to flow of air over its surface. It is assumed that sustained limit cycle oscillations of this system will occur at the flutter velocity. This research creates an optimization framework to obtain the best values of parameters that will result in the …

Digital Nucleic Acid Memory: Up-Scaling Ssdna Synthesis Of Novel P11453.1 Scaffold For Dna Origami, Jeremy Naftzger, Audrey Thompson, Benjamin Balzer, Luke Woodbury, Eric J. Hayden

Idaho Conference on Undergraduate Research

The limitations of conventional memory materials, both in physical and economic aspects, necessitate the development of novel memory materials and methods. Digital Nucleic Acid Memory (dNAM) is one such memory method, which leverages DNA’s high information density, stability, and energy efficiency for non-volatile long-term memory applications, such as archival storage. dNAM uses DNA origami to form an information matrix where fluorescent DNA strands can bind to represent Binary 1’s and 0’s. This process is dependent on the size of the DNA Origami, therefore being dependent on the size of the ssDNA scaffold. The custom novel ssDNA scaffold P11453.1 is synthesized …