Digital Commons Network^™

Marine Environmental Effects On A Graphene Reinforced Epoxy Adhered Single Lap Joint Between Metals And Cfrp, Rudi Fry-Taylor, Maozhou Meng, Xinyu Wang

School of Engineering, Computing and Mathematics

This study investigates the marine environmental effects on the bonding strength of graphene nanoplatelets (GNPs) reinforced adhesive for a metal/composite single lap joint. Samples were immersed for periods of 1, 2 and 3 weeks in a 50 °C, 3.5% NaCl solution, with the purpose of the heat being the creation of an environment in which simulated an increased ageing period in the joint structure. In a dry condition, the use of GNPs produced a slight increase in lap shear strength of 17% and 14% in the carbon fibre reinforced plastics (CFRP) composite laminate to aluminium and stainless-steel joints respectively. Post …

Active Learning For Efficient Soil Monitoring In Large Terrain With Heterogeneous Sensor Network, Hui Chen, Ju Wang

Publications and Research

Soils are a complex ecosystem that provides critical services, such as growing food, supplying antibiotics, filtering wastes, and maintaining biodiversity; hence monitoring soil health and domestication is required for sustainable human development. Low-cost and high-resolution soil monitoring systems are challenging to design and build. Compounded by the sheer size of the monitoring area of interest and the variety of biological, chemical, and physical parameters to monitor, naive approaches to adding or scheduling more sensors will suffer from cost and scalability problems. We investigate a multi-robot sensing system integrated with an active learning-based predictive modeling technique. Taking advantage of advances in …

Hamiltonian Structure Of 2d Fluid Dynamics With Broken Parity, Gustavo Machado Monteiro, Alexander G. Abanov, Sriram Ganeshan

Publications and Research

Isotropic fluids in two spatial dimensions can break parity symmetry and sustain transverse stresses which do not lead to dissipation. Corresponding transport coefficients include odd viscosity, odd torque, and odd pressure. We consider an isotropic Galilean invariant fluid dynamics in the adiabatic regime with momentum and particle density conservation. We find conditions on transport coefficients that correspond to dissipationless and separately to Hamiltonian fluid dynamics. The restriction on the transport coefficients will help identify what kind of hydrodynamics can be obtained by coarse-graining a microscopic Hamiltonian system. Interestingly, not all parity-breaking transport coefficients lead to energy conservation and, generally, the …

Single Inclusive Hadron Production In Dis At Small X: Next To Leading Order Corrections, Filip Bergabo, Jamal Jalilian-Marian

Publications and Research

We calculate the one-loop corrections to single inclusive hadron production in Deep Inelastic Scattering (DIS) at small x in the forward rapidity region using the Color Glass Condensate formalism. We show that the divergent parts of the next to leading order (NLO) corrections either cancel among each other or lead to x (rapidity) evolution of the leading order (LO) dipole cross section according to the JIMWLK evolution equation and DGLAP evolution of the parton-hadron fragmentation function. The remaining finite parts constitute the NLO (α_s) corrections to the LO single inclusive hadron production cross section in DIS at …

Ecological Niche Comparison Among Closely Related Tree Species Of Lauraceae Using Climatic And Edaphic Data, Laura J. Giraldo-Kalil, Gonzalo E. Pinilla Buitrago, Andrés Lira-Noriega, Francisco Lorea-Hernández, Juan Núñez-Farfán

Publications and Research

ABSTRACT:

Edaphic specialization is considered to promote ecological differentiation among closely related species of Damburneya (Lauraceae) occurring in sympatry. However, little is known about the effects of soil and other key environmental factors like climate on the ecological niche and distribution of these tree species. Here, we assessed the role of climate and soil on niche divergence and potential distribution of four Damburneya species whose distributions span Central America and Mexico. We performed ecological niche modeling with MaxEnt using three sets of environmental data: climatic-only, edaphic-only, and a combination of both, to characterize species niches and suitable distribution areas. Niche …

Multivariate Cross-Validation And Measures Of Accuracy And Precision, Ute Mueller, Sangga Rima Roman Selia, Raimon Tolosana-Delgado

Research outputs 2022 to 2026

Cross-validation and performance measures are standard components in the evaluation of a geostatistical model. These are well established in the univariate case, but measures for multivariate geostatistical modeling have not received as much attention. In the case of a single target variable, the univariate approaches remain valid, but in the fully multivariate case where a vector of variables needs to be estimated, the evaluation needs to be based on all estimates simultaneously. An extension of cross-validation and associated performance measures to the fully multivariate case is presented and discussed for the case of regionalized compositions. The method is demonstrated by …

A Systematic Literature Review Of Between-Class Ability Grouping In Australia: Enduring Tensions, New Directions, Olivia Johnston, Becky Taylor

Research outputs 2022 to 2026

Ability grouping of students into separate classes within a school can be called ‘between-class ability grouping’. This practice has persisted in Australia despite evidence that it is socially inequitable and does not improve academic outcomes. A systematic review of peer-reviewed literature about between-class ability grouping in Australia from 2012-2022 reveals only N=28 papers that meet the inclusion criteria. These papers are critiqued and synthesised into four main findings that characterise Australian research about between-class ability grouping from 2012-2022. The findings reveal a lack of substantive inquiry with most studies having limited scope and drawing on outdated or overly generalised data. …

Identification And Validation Of Igg N-Glycosylation Biomarkers Of Esophageal Carcinoma, Huiying Pan, Zhiyuan Wu, Haiping Zhang, Jie Zhang, Yue Liu, Zhiwei Li, Wei Feng, Guiqi Wang, Yong Liu, Deli Zhao, Zhiyi Zhang, Yuqin Liu, Zhe Zhang, Xiangtong Liu, Lixin Tao, Yanxia Luo, Xiaonan Wang, Xinghua Yang, Feng Zhang, Xia Li, Xiuhua Guo

Research outputs 2022 to 2026

Introduction: Altered Immunoglobulin G (IgG) N-glycosylation is associated with aging, inflammation, and diseases status, while its effect on esophageal squamous cell carcinoma (ESCC) remains unknown. As far as we know, this is the first study to explore and validate the association of IgG N-glycosylation and the carcinogenesis progression of ESCC, providing innovative biomarkers for the predictive identification and targeted prevention of ESCC. Methods: In total, 496 individuals of ESCC (n=114), precancerosis (n=187) and controls (n=195) from the discovery population (n=348) and validation population (n=148) were recruited in the study. IgG N-glycosylation profile was analyzed and an ESCC-related glycan score was …

Normal Redefined: Exploring Decontextualization Of Lorises (Nycticebus & Xanthonycticebus Spp.) On Social Media Platforms, Luke F. Quarles, Kim Feddema, Marco Campera, K. A.I. Nekaris

Research outputs 2022 to 2026

Introduction: Decontextualization is a concept from psychology whereby new words are learned outside of the context of the here-and-now. Decontextualized language is used for discussing abstract concepts and is crucial to the development of academic language. When it comes to images, a dearth of context can lead to a lack of clarity, such as the use of ambiguous decontextualized images in environmental communication, leading to the promotion of greenwashing. Here we refer to decontextualization as the removal of wildlife from their wild ecological context. Images and videos of globally threatened species are increasingly popular on social media. Showing such taxa …

Heterogeneous Activation Of Persulfate By Macroscopic Nitrogen-Doped Graphene Oxide Cubes For The Degradation Of Antibiotic Contaminants In Water, Rajan A. K. Hirani, Abdul H. Asif, Nasir Rafique, Lei Shi, Shu Zhang, Martin Saunders, Wenjie Tian, Shaobin Wang, Hongqi Sun

Research outputs 2022 to 2026

As a sustainable and green approach, carbocatalysis, a metal-free strategy, has shown exceptional results in advanced oxidation processes (AOPs). Nonetheless, the recovery of these catalysts has been a major shortcoming over the years. Herein, three-dimensional nitrogen-doped graphene macrostructures (3D-NGMs), in the form of macro cubes, were synthesised by a simple cross-linking and thermal annealing procedure, after which they were employed in the activation of peroxydisulfate (PS) for the degradation of sulfamethoxazole (SMX). The catalytic cubes were loaded with different amounts of nitrogen precursor to investigate the role of nitrogen configuration in the sp2 hybridised carbon network on AOPs. NGC3 cubes …

A Review Of Multi-Factor Authentication In The Internet Of Healthcare Things, Tance Suleski, Mohiuddin Ahmed, Wencheng Yang, Eugene Wang

Research outputs 2022 to 2026

Objective: This review paper aims to evaluate existing solutions in healthcare authentication and provides an insight into the technologies incorporated in Internet of Healthcare Things (IoHT) and multi-factor authentication (MFA) applications for next-generation authentication practices. Our review has two objectives: (a) Review MFA based on the challenges, impact and solutions discussed in the literature; and (b) define the security requirements of the IoHT as an approach to adapting MFA solutions in a healthcare context. Methods: To review the existing literature, we indexed articles from the IEEE Xplore, ACM Digital Library, ScienceDirect, and SpringerLink databases. The search was refined to combinations …

Photocatalytic Reforming Of Lignocellulose: A Review, Xinyuan Xu, Lei Shi, Shu Zhang, Zhimin Ao, Jinqiang Zhang, Shaobin Wang, Hongqi Sun

Research outputs 2022 to 2026

Biomass has been considered as a promising energy resource to combat the exhaustion of fossil fuels, as it is renewable, sustainable, and clean. Photocatalytic reforming is a novel technology to utilize solar energy for upgrading biomass in relatively mild conditions. This process efficiently reforms and recasts biomass into hydrogen and/or valuable chemicals. To date, lignocellulose, including cellulose, hemicellulose and lignin, has attracted extensive studies in facile photocatalytic valorisation. This review summarizes and analyzes the most recent research advances on photoreforming of lignocellulose to provide insights for future research, with a particular emphasis on the reformation of lignin because of its …

An Integrative Review Of Project Portfolio Management Literature: Thematic Findings On Sustainability Mindset, Assessment, And Integration, Masoud Aghajani, Gesa Ruge, Kam Jugdev

Research outputs 2022 to 2026

Sustainability integration in project portfolio management helps shape strategic, organizational, and project-based contexts. The authors conducted a structured literature review from 2000 to 2021 and developed a novel integrative framework presenting a holistic view highlighting three substantive research themes: sustainability mindset, sustainability assessment, and sustainability integration in project portfolio processes. Noteworthy progress has been made at the strategic and portfolio levels toward framing a sustainability mindset (definition, values, and principles) and developing frameworks/tools for sustainability assessment and project portfolio selection. However, areas for more research include integrating sustainability into project portfolio processes, reporting, and organizational learning for portfolio improvement.

Catalytic Pollutant Upgrading To Dual-Asymmetric Mno2@Polymer Nanotubes As Self-Propelled And Controlled Micromotors For H2o2 Decomposition, Yangyang Yang, Kunsheng Hu, Zhong-Shuai Zhu, Yu Yao, Panpan Zhang, Peng Zhou, Pengwei Huo, Xiaoguang Duan, Hongqi Sun, Shaobin Wang

Research outputs 2022 to 2026

Industrial and disinfection wastewater typically contains high levels of organic pollutants and residue hydrogen peroxide, which have caused environmental concerns. In this work, dual-asymmetric MnO2@polymer microreactors are synthesized via pollutant polymerization for self-driven and controlled H2O2 decomposition. A hollow and asymmetric MnO2 nanotube is derived from MnO2 nanorods by selective acid etching and then coated by a polymeric layer from an aqueous phenolic pollutant via catalytic peroxymonosulfate (PMS)-induced polymerization. The evolution of particle-like polymers is controlled by solution pH, molar ratios of PMS/phenol, and reaction duration. The polymer-covered MnO2 tubing-structured micromotors presented a controlled motion velocity, due to the reverse …

Corrigendum: Evolution, Ecology, And Zoonotic Transmission Of Betacoronaviruses: A Review, Herbert F. Jelinek, Mira Mousa, Eman Alefishat, Wael Osman, Ian Spence, Dengpan Bu, Samuel F. Feng, Jason Byrd, Paola A. Magni, Shafi Sahibzada, Guan K. Tay, Habiba S. Alsafar

Research outputs 2022 to 2026

In the published article, there was an error in the legend for Figure 1 as published. The figure legend did not indicate that it has been adapted from Plowright et al. (2017). Copyright permission was obtained from Springer Nature to adapt Figure 1 from Plowright et al. (2017). The corrected legend appears below. Figure 1. Zoonotic risk distribution, pathway to spillover, and the multimodal role of the determinants of spillover. The zoonotic risk is demonstrated by the accumulated distribution of reservoir hosts and vectors that play a role in the pathway to spillover. The risk of spillover is determined by …

How Elementary Teachers Implement The Eureka Mathematics Curriculum To Improve Mathematics Outcomes, Shannell A. Swan-Clarke

Walden Dissertations and Doctoral Studies

Many states use research-based mathematics curricula as an instructional tool to improve mathematics performance outcomes on state assessment scores. The problem was that despite the implementation of a research-based curriculum, students at XYZ Elementary School (pseudonym) had underperformed on the Partnership for Assessment of Readiness for College and Careers standardized mathematics tests since 2018. The purpose of this basic qualitative study was to discover the implementation practices of teachers using the Eureka Mathematics Curriculum to improve student outcomes at XYZ Elementary School. Dewey’s experiential learning theory was used to support and explore ideas involving the influences of curriculum implementation on …

Understanding Teachers’ Perceptions Of Pedagogy In Teaching Mathematics To English Language Learners, David Suh

Walden Dissertations and Doctoral Studies

The number of socially and linguistically varied students at two local high schools in a southwestern state located in the United States has greatly increased. Since the 2018-2022 school years, English language learners (ELLs) scored low on the state achievement mathematics test scores. The problem was teachers were challenged to support the mathematics achievement of Grade 9-12 ELLs. The purpose of this qualitative study was to explore the perceptions of the teachers’ challenges in supporting the mathematics achievement of Grade 9-12 ELLs. The conceptual framework for this study was Vygotsky’s sociocultural theory, which helped to inform the study in giving …

A Sociotechnical Systems View Of Computer Self-Efficacy And Usability Determinants Of Technical Readiness, Stefani L. Tucker

Walden Dissertations and Doctoral Studies

The specific research problem was that it is unknown whether computer self-efficacy and usability determine technical readiness in hourly and exempt information technology support employees in the United States. The purpose of this correlational study was to examine the relationship between computer self-efficacy and technical readiness, usability and technical readiness, and computer self-efficacy, usability, and technical readiness in hourly and exempt information technology support employees in the United States. Sociotechnical system theory suggests that every transaction has a human and technical aspect; thus, the theoretical framework. The convenience sample included 136 information technology support employees aged 18-70. The regression results …

Understanding U.S. Customers' Intention To Adopt Robo-Advisor Technology, Deborah Wall

Walden Dissertations and Doctoral Studies

Finance and information technology scholars wrote that there is a literature gap on what factors drive investors in Western financial markets to use a Robo-advisor to manage their investments. The purpose of this qualitative, single case study with embedded units is to understand the adoption intentions of retail investors in U.S. markets to use a Robo-advisor instead of a human advisor. A single case study design addressed the literature gap, and qualitative data from seven semi=structured interviews, reflective field notes, and archival data were triangulated to answer the research question. This study was grounded in a theoretical framework that includes …

Effective Strategies To Sustain Small African American Food Service Businesses Beyond 5 Years, Alvin West

Walden Dissertations and Doctoral Studies

AbstractAfrican American small food service business owners contribute to national and local economies; however, only 45% of them sustain their businesses beyond 5 years. African American small food service business owners are concerned with the lack of effective business strategy implementation, as it is the number one predictor of actual business failure. Grounded in the general systems theory, the purpose of this qualitative multiple case study was to explore strategies African American small food service business owners used to sustain their businesses beyond 5 years. The participants were seven African American small food service business owners in the southeastern United …

Exclusive 𝝅⁻ Electroproduction Off The Neutron In Deuterium In The Resonance Region, Y. Tian, R. W. Gothe, V. I. Mokeev, G. Hollis, M. J. Amaryan, W. R. Armstrong, H. Atac, H. Avakian, L. Barion, M. Battaglieri, I. Bedlinskiy, B. Benkel, F. Benmokhtar, A. Bianconi, L. Biondo, A. Biselli, F. Bossù, S. Boiarinov, M. Bondì, J. Zhang, Et Al., The Clas Collaboration

Physics Faculty Publications

New results for the exclusive and quasifree cross sections off neutrons bound in deuterium 𝛾_vn(p) → pπ− (p) are presented over a wide final state hadron angle range with a kinematic coverage of the invariant mass (W) up to 1.825 GeV and the four-momentum transfer squared (Q²) from 0.4 to 1.0 GeV². The exclusive structure functions were extracted and their Legendre moments were obtained. Final-state-interaction contributions have been kinematically separated from the extracted quasifree cross sections off bound neutrons solely based on the analysis of the experimental data. These new results will serve as …

Scattered Spectra From Inverse Compton Sources Operating At High Laser Fields And High Electron Energies, Geoffrey A. Krafft, Balša Terzić, Erik Johnson, G. Wilson

Physics Faculty Publications

As Compton x-ray and gamma-ray sources become more prevalent, to understand their performance in a precise way, it becomes important to be able to compute the distribution of scattered photons precisely. For example, codes have been developed at Old Dominion University which were used to understand the performance of the Dresden Compton Source in detail. An ideal model would (i) include the full Compton effect frequency relations between incident and scattered photons, (ii) allow the field strength to be large enough that nonlinear effects are captured, and (iii) allow the effects of electron beam emittance to be introduced and studied. …

Observation Of Large Missing-Momentum (E, E' P) Cross-Section Scaling And The Onset Of Correlated-Pair Dominance In Nuclei, I. Korover, A. W. Denniston, A. Kiral, A. Schmidt, A. Lovato, N. Rocco, A. Nikolakopoulos, L. B. Weinstein, E. Piasetzky, O. Hen, M. J. Amaryan, Giovanni Angelini, H. Atac, N. A. Baltzell, L. Barion, M. Battaglieri, I. Bedlinskiy, Fatiha Benmokhtar, A. Bianconi, Z. W. Zhao, Et Al., Clas Collaboration

Physics Faculty Publications

We report the measurement of 𝒙_B scaling in (e,e′p) cross-section ratios off nuclei relative to deuterium at large missing momentum of 350 ≤ _Pmiss ≤ 600 MeV/c. The observed scaling extends over a kinematic range of 0.7 ≤ 𝒙_B ≤ 1.8, which is significantly wider than 1.4 ≤ 𝒙_B ≤ 1.8 previously observed for inclusive (e,e′) cross-section ratios. The 𝒙_B-integrated cross-section ratios become constant (i.e., scale) beginning at p_miss ≈ kF, the nuclear Fermi momentum. Comparing with theoretical calculations we find good agreement with generalized contact formalism calculations for high missing …

Fabrication And Testing Of A Prototype Rf-Dipole Crabbing Cavity, S. U. De Silva, J. R. Delayen, H. Park

Physics Faculty Publications

Crabbing cavities are essential in particle colliders to compensate the luminosity degradation due to beam collision at a crossing angle. The 952.6 MHz 2-cell rf-dipole crabbing cavity system was proposed for the Jefferson Lab Electron-Ion Collider to restore the head-on collisions of electron and proton bunches at the interaction point. A prototype cavity was designed and developed to demonstrate the performance of multi-cell rf-dipole structures. This paper presents the fabrication process and cold test results of the first 2-cell rf-dipole prototype cavity.

Construct Validity Of The Capq And Pai In A Sample Of College Students, Tiffany Grezmak, Jennifer B. Levin, Amir M. Poreh

Archives of Assessment Psychology

This study assessed the normative equivalence and construct validity of the Cleveland Adaptive Personality Questionnaire (CAP-Q, Poreh and Levin 2019), a relatively brief multi-scale personality inventory developed to assess personality traits and psychopathological states. The CAP-Q was administered concurrently with the Personality Assessment Inventory (PAI; Morey, 1991) to a sample of 109 college students. The standard scores for matching scales, computed using non-aged-corrected norms, were equivalent, with the CAP-Q age-corrected norms producing better fitting data. Additional analyses showed adequate convergent validity with highly correlated matching scales. Additionally, the multi-scale profiles were comparable across both non-elevated and elevated profiles. Overall, this …

Towards The Development Of Smoothed Particle Hydrodynamics Model For Oscillating Water Column Devices, Guixun Zhu

School of Engineering, Computing and Mathematics Theses

The Oscillating water column (OWC) device is a type of wave energy converter (WEC) that has received wide investigation. Integrating OWC with breakwaters can reduce construction and maintenance costs. However, there is a risk of damage to these OWC devices under extreme sea conditions. This thesis focuses on the study of OWC devices based on the Smoothed Particle Hydrodynamics (SPH) model. The SPH method, a fully Lagrangian approach that simulates fluid problems using a set of moving particles carrying physical properties, is particularly well-suited to simulating flows with large deformation. The SPH model can therefore handle the strong non-linear situations …

Mobilenetv1-Based Deep Learning Model For Accurate Brain Tumor Classification, Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, Omega John Unogwu, Indu Bala

Mesopotamian Journal of Computer Science

Brain tumors are among the most dangerous diseases that lead to mortality after a period of time from injury. Therefore, physicians and healthcare professionals are advised to make an early diagnosis of brain tumors and follow their instructions. Magnetic resonance imaging (MRI) is operated to provide sufficient and practical data in detecting brain tumors. Applications based on artificial intelligence contribute a very large role in disease detection, provide incredible accuracy and assist in creating the right decisions. In particular, deep learning models, which are a significant part of artificial intelligence, have the ability to diagnose and process medical image datasets. …

An Examination Of The Influence Of Ethnic Identity, Spirituality, And Social Support As Predictors Of Resilience Among Black Male College Graduates Born In The United States, Sandy Belizaire

Dissertations

Problem

This study aimed to assess the influence of ethnic identity, spirituality, and social support on resilience among Black males (BM) who were born in the United States of America and are recent college graduates. The achievement gap between BM and their counterparts is among education's most infuriating problems. Educators are more likely to dissuade Black men from going to college, and those who enroll drop out before they graduate (Noguera 2003; Wilborn 2013).

Method

This study employed a non-experimental, quantitative correlation research design using self-report questionnaires. The target population for this study was American-born Black males who were graduates …

Dynamic Function Learning Through Control Of Ensemble Systems, Wei Zhang, Vignesh Narayanan, Jr-Shin Li

Publications

Learning tasks involving function approximation are preva- lent in numerous domains of science and engineering. The underlying idea is to design a learning algorithm that gener- ates a sequence of functions converging to the desired target function with arbitrary accuracy by using the available data samples. In this paper, we present a novel interpretation of iterative function learning through the lens of ensemble dy- namical systems, with an emphasis on establishing the equiv- alence between convergence of function learning algorithms and asymptotic behavior of ensemble systems. In particular, given a set of observation data in a function learning task, we …

Cooperative Deep Q -Learning Framework For Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan

Publications

In this article, we address two key challenges in deep reinforcement learning (DRL) setting, sample inefficiency, and slow learning, with a dual-neural network (NN)-driven learning approach. In the proposed approach, we use two deep NNs with independent initialization to robustly approximate the action-value function in the presence of image inputs. In particular, we develop a temporal difference (TD) error-driven learning (EDL) approach, where we introduce a set of linear transformations of the TD error to directly update the parameters of each layer in the deep NN. We demonstrate theoretically that the cost minimized by the EDL regime is an approximation …