Digital Commons Network^™

The Value Of Saltbush Revegetation For Biodiversity In A Highly Fragmented Landscape, Robert A. Davis, Michael D. Craig, Tim S. Doherty, Jonathan D. Majer, Eddie J.B. Van Etten

Research outputs 2022 to 2026

Secondary salinization is a significant global issue affecting up to 1 billion hectares of land, impacting biodiversity and particularly vegetation. One form of revegetation that can provide a return to landholders is saltbush (Atriplex spp.), which provides forage for a wide range of livestock. The effectiveness of saltbush plantings in providing useful habitat for fauna in agricultural landscapes suffering from secondary salinity is poorly understood. We aimed to address this knowledge gap by surveying bird, ant, and spider communities, and quantifying vegetation structure and floristic composition in saltbush and native woodlands in agricultural landscapes affected by secondary salinization in Western …

Beyond Assumptions: What Students Really Think About School Wellbeing Programs, Amanda Madden

Research outputs 2022 to 2026

The study examined students’ perceptions of effective components in school-based wellbeing programs, addressing a critical gap where adolescent voices are absent. Data was gathered through a questionnaire, individual interviews, and focus groups conducted with 36 Year 12 students across three independent co-educational schools in Western Australia. Thematic analysis identified seven key components essential for effective wellbeing programming: targeted content providing respite from academic pressures, engaging and relatable presenters, strategic timing, developmental appropriateness, meaningful measurement, genuine teacher engagement, and authentic incorporation of student voice. Students valued practical, non-academic content and expressed scepticisms about teacher-delivered programs. Timing emerged as a previously underexplored …

Reflecting On Themes From Telehealth Consultations Early In The Pandemic: An Opportunity To Learn From Multiprofessional Colleagues, Maggie Meeks, Laura R. Joyce, John Dean, Lorna Davies, Tika Ormond, Philippa Seaton, Dale Sheehan, Dean Sutherland, Melanie Welfare, Arindam Basu

Research outputs 2022 to 2026

Aims: This study is aimed at documenting the reflections of New Zealand healthcare professionals on the use of synchronous telehealth consultations. Methods: A qualitative narrative inquiry was conducted to explore the practice of telehealth in New Zealand. Purposive sampling was used to identify clinicians from multiple professions who used telehealth during the initial phase of the COVID-19 pandemic. Fifteen semistructured interviews were conducted between October 2020 and May 2021 with clinicians from primary and secondary care, including multiple professional backgrounds. Interview transcripts were analysed thematically. Results: Six themes were identified: (1) equitable access: There were concerns regarding equitable access to …

A Knowledge-Driven, Ai-Assisted Cyber Defence Framework For Iomt Remote Patient Monitoring, Kulsoom S. Bughio, David M. Cook, Abdul M. Unar

Research outputs 2022 to 2026

The rapid adoption of Internet Medical Things (IoMT) technologies in remote patient monitoring has reshaped healthcare delivery by enabling continuous, real-time clinical observation outside traditional care settings. However, this shift has also expanded the cyber-attack surface across heterogeneous, resource-constrained medical devices, wireless networks, cloud services, and third-party platforms. In cyber warfare, healthcare has become an incorporated target of geopolitics, with hospitals, remote monitoring systems, and emergency health systems being used to broaden the attack surface for adversaries to exploit. Existing security approaches for IoMT environments remain largely manual, fragmented, and reactive, limiting their effectiveness in dynamically assessing vulnerabilities and supporting …

A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization For Dc–Dc Boost Converters With Hardware-In-Loop Validation, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

This paper proposes a universal hybrid model-free quantum–transfer learning controller with enhanced online grey wolf optimization algorithm (GWO–QTL) for DC–DC boost converter. This system has the characteristics of non-minimum phase behavior, parasitic effects, and fractional-order dynamics because of high frequency operation. These characteristics make analytical modeling complicated and make it difficult to have a single traditional controller that will operate reliably over different converter types. This motivates the creation of a unified model-free control framework that is able to learn directly from the behavior of the converter without relying on the topology specific models. Reinforcement learning, where an agent interacts …

Maternal Prebiotic Supplementation Modifies Associations Between Intrapartum Antibiotics And Infant Allergy, Summer V.M. Walker, Thomas R. Sullivan, Rachelle A, Pretorius, Nina D'Vaz, Johnny Lo, Johan Garssen, Jeffrey A. Keelan, Desiree Silva, Susan L. Prescott, Claus T. Christophersen, Debra J. Palmer

Research outputs 2022 to 2026

Background: Prebiotics promote growth of beneficial gut bacteria, whereas antibiotics can disrupt the microbial balance, reduce diversity, and potentially cause gut dysbiosis. This investigation aimed to determine whether antibiotic use before, during, or after birth altered the risk of infant allergic disease outcomes within a maternal prebiotic dietary supplementation trial. Methods: Maternal participants were allocated to consume daily prebiotics (galacto-oligosaccharides and fructo-oligosaccharides) or placebo (maltodextrin) powder from 18 to 20 weeks' gestation until 6 months postnatal. All infants had a family history of allergic disease. Maternal and infant antibiotic use was prospectively collected monthly throughout the trial intervention period, and …

Measuring Teachers’ Beliefs In Their Capacity To Use Differentiated Instruction In Their Classrooms: Development, Validation And Confirmation Of A Self-Efficacy Scale, Kathryn Gibbs, Stuart Woodcock, Nicole Dargue, Leah Le, Eunjae Park, Tom Porter, Gemma Scarparolo

Research outputs 2022 to 2026

The purpose of this study was to develop, validate and confirm a scale to gain a better understanding of teachers’ beliefs in their capacity to use differentiated instruction in their classrooms. Differentiation is an effective approach to teaching, designed to enable equitable learning opportunities for every student. Teachers are recommended to differentiate aspects of teaching, instruction, learning, assessment and the learning environment due to the increasing student heterogeneity within classrooms worldwide. Emerging literature has suggested that teacher self-efficacy may influence how teachers use this teaching approach. It is unknown if there is an existing scale that measures teachers’ self-efficacy when …

Text Messaging Programs To Support Family Literacy Practices: A Scoping Review, Lennie Barblett, Leanne Lavina, Nicola Johnson, Caroline Barratt-Pugh

Research outputs 2022 to 2026

Using bulk digital text messaging has been shown to be effective in many different fields such as health program interventions and supporting parents/carers. Evaluations of these interventions indicate positive changes in practice; however, it appears the potential of digital messaging through short message services (SMS) have not been fully taken advantage of in early childhood education. This scoping review using Arksey and O’Malley’s (2005) approach investigates the current practices of text messaging programs to support families in the development of preschool aged children’s language and literacy learning. Searches of five databases identified 16 articles that fitted our criteria. Results indicate: …

What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson

Research outputs 2022 to 2026

Teachers must equip students to navigate an increasingly complex world of unique challenges and opportunities, necessitating the development of a diverse range of transferable skills. These skills are embedded in the General Capabilities (GC) of the Australian school curriculum. Upper primary school teachers’ interpretations of one of the GC, Information and Communication Technology (ICT) learning progressions, was examined, as these skills have become increasingly important with the rise in generative and assistive artificial intelligence. Using an interpretivist paradigm, an exploratory study was used to determine the areas where 36 teachers differed in their interpretations of the learning progression. Data collected …

Protomix: Unified Prototype Learning For Semantic Change Detection In Remote Sensing, Hengzhi Chen, Kun Hu, Patrick Filippi, Wei Xiang, Thomas Francis Bishop, Zhiyong Wang

Research outputs 2022 to 2026

As an emerging topic, semantic change detection (SCD) in remote sensing aims to both identify the locations of changes before and after events and determine the land cover (LC) classes of changed regions. While deep learning has demonstrated its great potential for SCD, the following two fundamental challenges remain: large variations among the same LC class as well as close similarity between different LC classes, and the severe underutilization of massive unchanged regions, which dominate remote sensing scenes but lack detailed semantic annotations. To address these issues, we propose a novel prototype learning framework for SCD, namely ProtoMix, by leveraging …

Ecosystem Functions And Services - Landscaping For Water Quality (March 25, 2026 Gbnerr), Julia Peterson

UNH Cooperative Extension

No abstract provided.

Marketing Water Quality Friendly Services, Julia Peterson

UNH Cooperative Extension

No abstract provided.

2026 Water Quality Considerations In Landscaping, Thomas Swenson

UNH Cooperative Extension

2026 Water Quality Considerations in Landscaping

Estuary, Kelle Loughlin

UNH Cooperative Extension

No abstract provided.

Stormwater Best Management Practices, Kat Kelleher

UNH Cooperative Extension

No abstract provided.

Nh State Shoreland Water Quality Protection Act (Landscaping For Water Quality Workshop - 2026), Jay Aube

UNH Cooperative Extension

No abstract provided.

Water Resource Protection Principles And Strategies, Julia Peterson

UNH Cooperative Extension

No abstract provided.

Assessing And Understanding Soil Characteristics, Amy Papineau

UNH Cooperative Extension

No abstract provided.

Circle Actions On Oriented 4-Manifolds, Donghoon Jang, Oleg R. Musin

School of Mathematical & Statistical Sciences Faculty Publications

In this present paper, we consider an action of the circle group on a compact oriented 4-manifold. We derive the Atiyah–Hirzebruch formula for the manifold, and associate a graph in terms of data on the fixed point set. We show in the case of isolated fixed points that if an abstract graph satisfies the Atiyah–Hirzebruch formula, then there exists a corresponding 4-dimensional oriented S1-manifold.

‘The Way We Do Our Translation’: A Case Study Of Translation Policy For Spanish Speakers In The Public Parks Of Sonoma County, California, Gabriel González Núñez, Ángel María Casas Grageab, Christina Guerrero Harmon

Writing and Language Studies Faculty Publications

Signs in public spaces can provide essential information. Especially at times of crises, and in places where there are large populations who speak a minoritized language, translation is often employed to create multilingual signage for the benefit of the community. After all, translated signs appear because some authority considers that a certain message is important enough to be visibly communicated to the public, including those who do not speak the State’s preferred language. The decision as to whether to translate or not certain signs may seem arbitrary, but one would hope that it is the result of a guided policy …

Unraveling Posttranslational Modification Complexity: Advances In Quantitative Histone Proteoform Mass Spectrometry, Karl F Poncha, Alyssa T Paparella, Nicolas L Young

Faculty, Staff and Students Publications

Histone proteins and their posttranslational modifications are central to chromatin structure and function. These modifications often occur in combinations, generating a diverse array of histone proteoforms that contribute to the dynamic regulation of chromatin architecture. Advancements in mass spectrometry-based proteomics, particularly top-down and middle-down approaches, have significantly enhanced our ability to characterize these proteoforms and elucidate PTM crosstalk. This review provides an analysis of the epigenetic machinery involved in the addition, recognition, and removal of histone PTMs, emphasizing the complexity introduced by histone variants and combinatorial PTM patterns. We examine the challenges and limitations of traditional antibody-based methods for PTM …

Una Nueva Herramienta Para Estimar El Volumen Muscular Independientemente De La Edad, El Sexo Y El Nivel De Actividad Física, José J. Rivera-Sánchez, Laura P. Burgos-Morelos, Daniel Castillo-Castillo, Gerardo Méndez-Suárez, Juan C. Lopez-Alvarenga, Damián Carrillo-Ruíz

School of Medicine Publications

Antecedentes: Actualmente, la evaluación del volumen muscular requiere técnicas invasivas o de imagen, lo que aumenta los costos y retrasa la evaluación, y las mediciones antropométricas con frecuencia son inexactas.

Objetivo: Desarrollar una fórmula matemática para estimar el volumen del cuádriceps.

Material y métodos: Se evaluaron 127 sujetos: 40 adultos sedentarios de 20 a 35 años, 47 atletas adultos de 20 a 45 años y 40 adultos sedentarios de 70 a 94 años. Se dividieron en grupos de desarrollo y de validación. Se realizaron mediciones de variables antropométricas y fuerza de agarre, y se desarrolló la fórmula de predicción del …

Associations Of Blood Pressure Level And Variability With Cortical Thickness: A Cross-Sectional Analysis From The Maracaibo Aging Study, Romeo De Leon, Shana Garza, Silvia Mejia-Arango, Kristina Vatcheva, Sokratis Charisis, Claudia L. Satizabal, Luis J. Mena, Joseph H. Lee, Joseph D. Terwilliger, Eron Manusov

School of Medicine Publications

Background: Although high blood pressure (BP) level and variability are associated with Alzheimer's Disease (AD), their relationship with cortical thickness in brain regions that are associated with AD is unclear. Furthermore, the role of 24-hour BP has not been examined. We investigated the associations of office and ambulatory BP measures with cortical thickness in brain regions implicated in AD.

Methods: We performed a cross sectional analysis of 304 participants without dementia from a population-based study with office and 24-hour BP and magnetic resonance imaging (MRI) data. We considered cortical thickness values derived from 10 regions throughout the frontal, parietal, and …

Highly Variable Expressivity Of A Cnv Deletion Involving Tbx4 In Three Deceased Siblings With Lung Developmental Disorder And Their Mildly Affected Mother And Grandfather, Przemyslaw Szafranski, Tomasz Gambin, Michal Kadlof, Michał Denkiewicz, Dariusz Plewczynski, Hyun Jeong Kim, Gail Deutsch, Nahir Cortes-Santiago, Salmo Raskin, Paweł Stankiewicz

Faculty, Staff and Students Publications

Single nucleotide variants (SNVs) and copy-number variant (CNV) deletions involving TBX4 have been associated with pulmonary arterial hypertension, ischiocoxopodopatellar syndrome, and lethal lung developmental disorders (LLDDs). Thus far, all large CNV deletions encompassing entire TBX4 have been found to have arisen de novo. Here, we present a three-generation family with three neonate siblings who died within 35-66 days due to histopathologically diagnosed LLDD. Whole-genome sequencing identified an ~108-kb CNV deletion encompassing TBX4 in all three infants. The deletion was also found in their mother with a history of pneumonia and persistent thick upper airway secretions and in the maternal grandfather …

Reduced Threat-Related Neural Efficiency: A Possible Biomarker For Pediatric Anxiety Disorders, Julia O. Linke, Reut Naim, Simona P. Haller, Parmis Khosravi, Beck Scheinberg, Meghan E. Byrne, Anita Harrewijn, Ellen Leibenluft, Melissa A. Brotman, Anderson M. Winkler, Daniel Samuel Pine

School of Medicine Publications

Objective: Pediatric anxiety disorders are common and predict adult psychopathology, yet current treatments, such as cognitive-behavioral therapy (CBT), produce lasting remission in less than 50% of affected youths. To support the search for improved, mechanistically grounded interventions, this study evaluated neural efficiency, defined as similarity in functional connectivity between a threat task and rest, as a potential biomarker. The study evaluated neural efficiency in relation to anxiety diagnosis and treatment response.

Methods: The authors compared 103 youths with an anxiety disorder diagnosis (mean age, 12.5 years [SD=2.91], 62% female) to 103 youths with no psychiatric diagnosis (mean age, 13.4 years …

Pd-L1-Centric Whole Blood-Based Immune Signature Profiles Of Tuberculosis Patients During Therapy, Johanna Eggeling, Martina Sester, Christoph Lange, Jan Heyckendorf, Barbara Kalsdorf, Anna M Mandalakas, Andrew R Dinardo, David Lewinsohn, Dagmar Schaub, Tina Schmidt, Eva Tolosa, Maja Reimann, Patricia M Sánchez Carballo

Faculty, Staff and Students Publications

This prospective study investigated whole blood-based immune cell biomarkers for pulmonary tuberculosis (TB) immunoprofiling. Blood samples from 34 healthy controls and 51 tuberculosis patients were analyzed at three timepoints: Prior to therapy (T0), after 14 days of therapy (T1), and at the end of treatment (Te). Using multiparameter flow cytometry, 386 immune cell populations were analyzed. Predictive models were developed using two machine learning algorithms. A TB5LF change score, which was based on five cell populations, effectively distinguished tuberculosis patients from controls (AUC = 0.89) and tuberculosis patients before and at the end of treatment (AUC = 0.92). Similarly, the …

Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury

Dissertations

The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …

Variables Related To School Readiness Among Canadian Children With Attention Deficit Hyperactivity Disorder Symptomology, Carlye Brokl

Theses and Dissertations (Comprehensive)

Children with attention deficit hyperactivity disorder (ADHD) symptoms face challenges academically, behaviourally, and socioemotionally at entry to formal education. Yet, these symptoms are rarely investigated prior to school entry, reducing the time that parents can prepare by learning about the disorder, scaffolding their children’s skills, and mediating the risk of long-lasting consequences related to unpreparedness for school. Within the current study, we aimed to uncover specific skills and elements within children’s environments which may be targeted for intervention prior to entering formal education. More specifically, we examined the relationship between the home literacy environment (HLE), mental-state understanding, ADHD symptomology, and …

Envisioning The Role Of Community-Owned Stores & Aligning Federal Food Policies: A Participatory Approach To Food Security And Food Sovereignty In Sambaa K’E, Denendeh (Northwest Territories, Canada), Narayan Subramoniam

Theses and Dissertations (Comprehensive)

Northern Indigenous communities have relied on traditional food systems for meaningful, nutritious diets since time immemorial. But many Indigenous communities in remote northern regions of Canada still face disproportionately elevated levels of food insecurity due to climate change radically altering the availability for traditional foods, colonial food policies imposing Western diets, and the high costs of transporting store-bought foods. Extreme weather events such as wildfires further isolate fly-in remote communities increasing both the costs of transporting store-bought foods and the difficulties of harvesting traditional foods. There are many examples of community-based initiatives for supporting traditional and locally grown foods, however, …

Children's Peer Selection In Stem: The Influence Of Gender, Ethnicity, And Disability, Meagan Girard, Kim P. Roberts

Theses and Dissertations (Comprehensive)

The present study examined how children’s peer selection in STEM (science, technology, engineering, and mathematics) may be influenced by gender, ethnicity, and physical disability. Sixty-four children (ages 6-12) from elementary schools in Southwestern Ontario completed three tasks: a simulated peer selection task, an attribution of ability task, and a stereotype belief questionnaire. In the peer selection task, participants were repeatedly asked to select one peer from a set of AI-generated photographs showing children who differed by gender (male, female), ethnicity (White, Black, East Asian), and physical disability status (able-bodied user vs. nondisabled). The Peer Selection Task was based on the …