Digital Commons Network^™

Cropcapsnet: Enhanced Capsule Network For Crop Disease Classification, Juan Qin, Linfan Deng, Cong Li, Junjie He, Haibo Pen, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

The prevention and treatment of crop diseases are crucial for the development of smart agriculture. The classification of crop diseases based on deep learning for early disease monitoring and control has become the mainstream direction of research. This paper proposes a novel deep learning model called ”CropCapsNet”, which combines Squeeze-and-Excitation Inception (SE-Inception) module and has improved capsule structure for crop disease classification. The network first extracts shallow features of input samples through double-layer convolution, then uses SE-Inception to achieve deep multi-scale feature acquisition, and finally outputs classification results through an improved capsule structure. SE-Inception adds Squeeze-and-Excitation(SE) attention after each multi-scale …

Scalable Graph Indexing Using Gpus For Approximate Nearest Neighbor Search, Zhonggen Li, Xiangyu Ke, Yifan Zhu, Bocheng Yu, Baihua Zheng, Yunjun Gao

Research Collection School Of Computing and Information Systems

Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has a wide range of real-world applications. Numerous methods have been proposed to handle ANNS efficiently, while graph-based indexes have gained prominence due to their high accuracy and efficiency. However, the indexing overhead of graph-based indexes remains substantial. With exponential growth in data volume and increasing demands for dynamic index adjustments, this overhead continues to escalate, posing a critical challenge.In this paper, we introduce Tagore, a fasT library accelerated by GPUs for graph indexing, which has powerful capabilities of constructing refinement-based graph indexes such as NSG and Vamana. We first introduce …

Pilot-C: Physics-Informed Low-Distortion Optimal Trajectory Compression, Kefei Wu, Baihua Zheng, Weiwei Sun

Research Collection School Of Computing and Information Systems

Location-aware devices continuously generate massive volumes of trajectory data, creating demand for efficient compression. Line simplification is a common solution but typically assumes 2D trajectories and ignores time synchronization and motion continuity. We propose PILOT-C, a novel trajectory compression framework that integrates frequency-domain physics modeling with error-bounded optimization. Unlike existing line simplification methods, PILOT-C supports trajectories in arbitrary dimensions, including 3D, by compressing each spatial axis independently. Evaluated on four real-world datasets, PILOT-C achieves superior performance across multiple dimensions. In terms of compression ratio, PILOT-C outperforms CISED-W, the current state-of-the-art SED-based line simplification algorithm, by an average of 19.2%. For …

Learning To Be Trauma-Informed: An Examination Of Individual-Level Factors Predicting Perceptions Of And Response To Trauma-Informed Practice Trainings, Kelly Daniel

Electronic Theses and Dissertations

Trauma is a substantial threat to public health. As such, significant effort has been exerted into developing interventions which mitigate the consequences of trauma. Trauma-informed practice (TIP) aims to alleviate the effects of trauma by building policies and practices focused on safety, trust, transparency, support, collaboration, and empowerment. This study investigated how individual-level factors, including readiness for organizational change, perceived benefit of TIP training, and personal trauma history affect one’s ability to apply a TIP lens in a sample (n =100) of members of a graduate-level college. Further, it explored if one’s perceptions of and response to trauma-informed practice training …

The Impact Of Screentime In Childhood, Kyla P. Shirley

Informatics

The increased dependency on technological devices as a result of the digital age being upon us impacts a multitude of individuals from all age groups. For older groups, they might find an easier time navigating the world wide web due to their awareness of the potential dangers these digital spaces may bring. On the other hand, younger age groups are more susceptible to the dangers posed due to their lack of maturity which in turn makes them extremely vulnerable to being negatively impacted when using these electronic devices. The goal of this project was to generate awareness concerning screen time …

Assessing Post-Pandemic Engagement In The Supplemental Nutrition Program For Women, Infants, And Children (Wic) In Northeast Tennessee, Christen Minnick

Electronic Theses and Dissertations

Since 1974, the federal Supplemental Nutrition Program for Women, Infants, and Children (WIC) has provided healthy food resources, nutrition education, and provider referrals for families at risk for poor nutrition. Public health professionals have consistently presented evidence that WIC engagement reduces premature births and infant mortality, improves child health and development, and increases specialized care access for participants. While average monthly participation in WIC has increased since the program’s inception, trends indicate that only around half of eligible families have consistently engaged with the program since 2011. Research has linked declining WIC participation to administrative burden, citing learning, psychological, compliance, …

Principals’ Perceptions Of Their Preparedness To Facilitate And Support Technology Integration In Schools: A Case Study Of Four Rural Texas Principals, Christina J. Campbell Ed.D.

Electronic Theses and Dissertations

School administrators face the challenge of leading technology integration that provides meaningful learning opportunities to prepare students for 21st-century skills and careers. Research has shown that administrative leadership support, behaviors, assumptions, and policies impact technology integration in the classroom. The International Society for Technology in Education (ISTE) standards include guidelines for education leaders and their role in supporting educators using technology. However, leaders underestimate the impact of their leadership on effective use in the classroom. The purpose of this qualitative case study was to explore the perceptions of South Texas rural public school principals working in Chapman Independent School District …

Secondary Special Education Teachers: Perceptions On Burnout Since The Start Of Covid-19, Regina Perez

Electronic Theses and Dissertations

This study examined burnout among secondary special education (SPED) teachers following the COVID-19 pandemic, which significantly disrupted education and intensified teacher stress. Burnout, defined by emotional exhaustion, depersonalization, and reduced personal accomplishment, has been linked to teacher attrition and decreased student achievement. The problem addressed was the increased levels of burnout and stress among SPED teachers and the lack of sufficient administrative support to mitigate these effects. The purpose was to explore SPED teachers’ perceptions of burnout since the pandemic and identify the supports needed to reduce it. Using a qualitative case study design grounded in Maslach’s burnout theory, the …

Exploring The Role Of Christian Religiosity In The Acceptance Or Rejection Of Ai Chatbot Use Among Faculty At Church Of Christ Universities, Amos Gutierrez

Electronic Theses and Dissertations

Higher education institutions are navigating the benefits and challenges of generative AI chatbot use and preparing faculty and students to engage with these tools ethically and responsibly. The problem is that there are many challenges and barriers to using these technologies in higher education, and Christian higher education institutions must also address context-specific considerations regarding mission and vision rooted in biblical faith and practice. The purpose of this quantitative, nonexperimental, cross-sectional study using confirmatory factor analysis and multiple regression through structural equation modeling was to examine faculty perceptions of AI chatbots and how Christian religiosity moderates acceptance. An online survey …

The 4-Day School Week: Impacts On Rural Texas School Districts, Geoffery Bowdoin

Electronic Theses and Dissertations

This study examined how school administrators, teachers, and parents in rural Texas districts view the effects of the 4-day school week. Across Texas, a growing number of districts have adopted shorter calendars to address teacher shortages, boost morale, and manage tight budgets. The goal of this research was to gain a clearer understanding of how this schedule shift influences student performance, district finances, and teacher recruitment and retention. The study followed a qualitative descriptive approach. Data were collected through two means. Semistructured interviews were conducted with 12 school administrators, while 29 teachers and 42 parents completed surveys. Research participants came …

Leading With Strength: The Relationship Between Character Strength Awareness And Teacher Self-Efficacy, Ashton Lynn Knox

Electronic Theses and Dissertations

Traditional educational leadership practices have historically emphasized weakness-based approaches to leadership regarding teacher interventions. Emerging research grounded in positive psychology suggests that strength-based interventions may offer a more effective pathway for supporting educators. The purpose of this action research study was to examine the influence of character strength awareness on teacher self-efficacy. Guided by a strength-based leadership framework, the researcher investigated whether intentional character strength interventions could positively impact teachers’ perceptions of their instructional effectiveness. The study employed an action research design with 14 K–12 teachers from a rural public school district in Texas. Participants completed the Values in Action …

Freshwater Turtle Assemblages And Densities In Agricultural Ditches And Aquaculture Ponds Of Eastern Arkansas, Andrhea D. Massey, John D. Willson, Brett A. Degregorio

Biological Sciences Faculty Publications and Presentations

The Mississippi Alluvial Plain (MAP) of Arkansas is a landscape where many wetlands have been altered for use as aquaculture ponds or agricultural ditches. Commercial harvest of freshwater turtles within the MAP is not restricted or limited, with reported harvest numbers for 2019 alone exceeding 4000 for spiny softshell turtles (Apalone spinifera) and 39,000 for red-eared sliders (Trachemys scripta elegans). Herein, we attempt to provide baseline estimates of freshwater turtle densities and community composition in aquaculture ponds and agricultural ditches of eastern Arkansas, the habitat types most frequently trapped by commercial harvesters. We used a capture-mark-recapture approach over 3 summers …

Estimation Of 3d Facial Dynamics With Nonlinear Filters For Position Tracking, Thoa Thieu, Roderick Melnik

School of Mathematical & Statistical Sciences Faculty Publications

This study presents a comparative evaluation of three nonlinear state estimation filters, the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF), for the task of 3D facial landmark tracking. Using a publicly available dataset, we assess each filter's performance under both deterministic (noise-free) and stochastic (noisy) conditions. Metrics such as mean squared error (MSE), convergence rates of state and covariance estimates, and consistency over time are used to quantify tracking performance. Results show that the EKF consistently outperforms the UKF and PF, achieving faster convergence and lower estimation error, particularly in scenarios characterized by mild nonlinearity. …

Quantization For The Mixtures Of Overlap Probability Distributions, Asha Barua, Angelina Chavera, Ivan Djordjevic, Valerie Manzano, Sergio Soto Quintero, Mrinal Kanti Roychowdhury, Hilda Tejeda

School of Mathematical & Statistical Sciences Faculty Publications

Optimal quantization for mixed distributions has emerged as a compelling area of study. In this work, we have focused on a mixed distribution formed from two uniform distributions with partially overlapping supports. For this class of distributions, we have examined the structure of optimal sets of n-means and the corresponding nth quantization errors for all positive integers n. Initially, we explicitly determined the optimal sets and quantization errors for 1 < = n < = 6. Subsequently, we established several key lemmas and propositions and proposed an algorithm that facilitates the computation of optimal n-means and quantization errors for all n >= 5. Numerical results are also presented to illustrate the application of the algorithm in deriving these quantities. The findings of this study offer valuable insight and serve as a …

Variants Of Conway Checkers And K-Nacci Jumping, Glenn Bruda, Joseph Cooper, Kareem Jaber, Raul Marquez, Steven J. Miller

School of Mathematical & Statistical Sciences Faculty Publications

Conway Checkers is a game played with a checker placed in each square of the lower half of an infinite checkerboard. Pieces move by jumping over an adjacent checker, removing the checker jumped over. Conway showed that it is not possible to reach row 5 in finitely many moves by weighting each cell in the board by powers of the golden ratio such that no move increases the total weight.

Other authors have considered the game played on many different boards, including generalizing the standard game to higher dimensions. We work on a board of arbitrary dimension, where we allow …

Cognitive Frailty And Cardiometabolic Risk In Middle-Aged And Older Adults: Evidence From The Uk And China, Haiyang Yan, Jingjing Lang, Chengfeng Li, Samaneh Eftekhariranjbar, Guoyan Jiang, Jing Lei, Lixin Sun, Carlos J. Toro-Huamanchumo, Zhongyang Guan

Research outputs 2022 to 2026

Background: Cognitive frailty, a novel construct integrating cognitive and physical deficits, is increasingly recognized in aging research. Aims: This study aimed to examine the associations between cognitive frailty and cardiometabolic risk in two nationally representative cohorts from China and the United Kingdom. Methods: We analyzed data from 7,628 participants in the China Health and Retirement Longitudinal Study (CHARLS) and 4,703 participants from the English Longitudinal Study of Ageing (ELSA), all aged ≥ 50 years. Frailty was assessed using the frailty index (FI) in the main analysis. Cox proportional hazards models were applied to estimate hazard ratios (HRs) for incident cardiometabolic …

Exploring Convergence And Divergence In Seemingly Contrasting Perspectives On Training Perceptual-Cognitive Abilities For Sports Performance Through Moderated Dialogue, Jordan Cassidy, Daniel Kadlec, Job Fransen

Research outputs 2022 to 2026

Current Opinion article considers the diverging perspectives of two academics on the trainability and role of perceptual-cognitive abilities in sports performance, specifically applied to agility and sidestepping. This work uses a moderated dialogue approach between these two authors, each representing differing viewpoints: one advocating for the role of perceptual-motor skills through representative learning environments and another emphasising physical resilience. The article explores how fostering scientific discourse through moderated questions posed by a third party can be used to identify convergences and divergences in these perspectives. Both perspectives agree on the complexity of agility, the value of coupling perceptual skills with …

Impact Of Exercise In Patients With Pancreatic Cancer Across Different Treatment Phases: A Systematic Review, Linda Toniolo, Anita Borsati, Cristina Crespo-Garcia, Diana Giannarelli, Christian Ciurnelli, Gloria Adamoli, Lorenzo Belluomini, Ilaria Trestini, Daniela Tregnago, Federico Schena, Robert U. Newton, Salvatore Paiella, Roberto Salvia, Michele Milella, Sara Pilotto, Alice Avancini

Research outputs 2022 to 2026

Background: With a dismal prognosis of 8–10 % 5-year survival since diagnosis, pancreatic cancer remains one of the most aggressive oncological diseases. This work aimed to evaluate the effects of exercise medicine on safety and feasibility, physical fitness, body composition, patient-reported outcomes, and clinical outcomes across different treatment phases in patients with pancreatic cancer. Method: PubMed, Cochrane, and Scopus databases were systematically screened to identify single-arm studies and randomized/non-randomized controlled trials investigating a physical exercise intervention in patients with pancreatic cancer. The RoB 2 and ROBINS-I tools were used to evaluate study quality for randomized and non-randomized studies, respectively. Qualitative …

Exploring The Experiences And Needs Of Chinese Older Adults And Their Family Caregivers, Yu Huang

Research outputs 2022 to 2026

This multi-generational research project represents an academic partnership between Edith Cowan University (ECU) and Chung Wah Community Care (CWCC), conducted from February to August 2025. Through CWCC's established community participation programs, this collaboration provided both a rich platform for community engagement and an accessible entry point for an ECU Research Internship to collect and analyse in-depth data on the "homing" experiences of Chinese elderly immigrants in Australia.

The study employed a mixed-methods design, engaging 162 survey participants and 15 interview participants across CWCC's two service locations (Balcatta Hub and Willetton Hub) and one well-aged group of name as Evergreen College. …

Food Security Systems Change: A Case Study From Rural, Regional, And Remote Australia, Stephanie L. Godrich, Isabelle Chiera, Jess Doe, Saranne Herrington, Melissa Stoneham, Amanda Devine, Emily Humphreys

Research outputs 2022 to 2026

Food security(FS) refers to having sufficient physical, social, and economic food access at all times. People living in rural, regional, and remote (RRR) locations often face distinctive challenges to FS. Existing solutions, that aim to enhance FS, themselves face challenges when addressing these issues. This paper outlines the application of an adapted Systemic Innovation Lab (SIL) approach to enhance the function of existing community and government-led, -run or -operated initiatives (programs, interventions) in RRR Western Australia. It examines which systems change characteristics participating initiatives possess, to identify opportunities to support their transition to newer and more effective ways of addressing …

Postinactivity Exercise Training Improves Sarcopenia Traits In 40–60-Year-Old Women Regardless Of Fortified Milk Supplementation, Joanne Trezise, Ricardo M. Lima, Sally D. Poppitt, Aaron C. Fanning, Amanda Devine, Anthony J. Blazevich

Research outputs 2022 to 2026

Background: The term sarcopenia was introduced to describe the age-related decline in muscle mass, but current definitions also include measures of muscle strength and function. Menopause increases sarcopenia risk and may exacerbate the adverse effects of physical inactivity. Exercise training is a potent stimulus to restore muscle health, and nutritional supplementation can further improve the outcomes. The purposes of this study were to examine the changes in a set of sarcopenia-related phenotypes induced by a 14-day step-reduction period followed by a 12-week exercise training programme, with or without fortified milk supplementation in healthy 40–60-year-old females, and to determine whether menopausal …

Zero Day Malware Detection With Alpha: Fast Dbi With Transformer Models For Real World Application, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research outputs 2022 to 2026

The effectiveness of an AI model in accurately classifying novel malware hinges on the quality of the features it is trained on, which in turn depends on the effectiveness of the analysis tool used. Peekaboo, a Dynamic Binary Instrumentation (DBI) tool, defeats malware evasion techniques to capture authentic behavior at the Assembly (ASM) instruction level. This behavior exhibits patterns consistent with Zipf's law, a distribution commonly seen in natural languages, making Transformer models particularly effective for binary classification tasks. We introduce Alpha, a framework for zero-day malware detection that leverages Transformer models, Support Vector Machines (SVMs) and ASM language features. …

Interhemispheric Inhibition Modifies Reaction Time Of The Index Finger, Liam C. Tapsell, Christopher Latella, Anthony J. Blazevich, Janet L. Taylor

Research outputs 2022 to 2026

Interhemispheric inhibition (IHI) acts between hemispheres to decrease motor cortical excitability. IHI changes during movement preparation, but it is unknown whether altering IHI, independent of other factors, alters movement initiation. For the index finger abductor muscle (first dorsal interosseous; FDI), IHI is weaker during contralateral index abduction than adduction. Thus, this study aimed to modulate IHI through contralateral contraction and measure resultant changes in reaction time. Fifteen healthy participants (age 19–39 years) completed a reaction-time task requiring brief left index finger abduction. Prior to reactions, participants started either a sustained isometric abduction or adduction contraction of the right index finger. …

A Bayesian Optimisation With Segmentation Approach To Optimising Liquid Handling Parameters, Estefania Yap, Viet Huynh, Calvin Vong, Peter Vogel, Viv Louzado, Thomas Barnes, Buser Say, Michael Burke, Dana Kulić, Aldeida Aleti

Research outputs 2022 to 2026

The automation of liquid handling has become integral in speeding up pharmaceutical development for faster drug development and more affordable treatments. However, the optimal parameters which define the aspirate and dispense procedures vary between liquids and liquid volumes, limiting transfer accuracy and precision. Even state-of-the-art liquid handling devices offer predefined parameters for only a handful of liquids and volumes, resulting in novel parameter sets being defined via a manual, time-consuming process. In this study, we propose an experimental framework for automating the optimisation of liquid class parameters for arbitrary liquids. Within our framework, we propose an optimisation and segmentation algorithm, …

Application Of Plastic Waste As A Sustainable Bitumen Mixture—A Review, Nuha S. Mashaan, Thakur Chamlagai

Research outputs 2022 to 2026

Plastic waste is growing rapidly, while asphalt binders remain heavily reliant on petroleum bitumen. Incorporating recycled plastics into bitumen can divert waste and enhance pavement performance. This review compiles 251 experimental records from 56 studies to evaluate how plastic type, dosage, and processing conditions affect softening point, penetration, and viscosity. Across studies, plastics (PET, LDPE/HDPE/LLDPE, PP, and hybrids) consistently stiffen binders, reducing penetration and increasing softening point and viscosity, thereby improving rutting resistance while potentially raising mixing/compaction demands. Using grouped cross-validated machine-learning models (median baseline, ridge, random forest, XGBoost), we quantify the predictability of binder properties and show that nonlinear …

Defeating Evasive Malware With Peekaboo: Extracting Authentic Malware Behavior With Dynamic Binary Instrumentation, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research outputs 2022 to 2026

The accuracy of Artificial Intelligence (AI) in malware detection is dependent on the features it is trained with, where the quality and authenticity of these features is dependent on the dataset and the analysis tool. Evasive malware, that alters its behavior in analysis environments, is challenging to extract authentic features from where widely used static and dynamic analysis tools have several limitations. However, Dynamic Binary Instrumentation (DBI) allows deep and precise control of the malware sample, thereby facilitating the extraction of authentic behavior from evasive malware. Considering the limitations of malware analysis for use with AI, this research had two …

Hamstring Strength And Architectural Properties Are Associated With Running Biomechanics, Nicholas Ripley, Christopher Bramah, Paul Comfort, John Mcmahon

Research outputs 2022 to 2026

Applied muscular strain and hamstring strain capacity have a joint interaction on hamstring strain injury (HSI) with modifiable risk factors frequently assessed. However, to date there is limited observations on the interaction between these factors. The purpose of the present study was to observe if spatiotemporal characteristics, running kinematics and muscle activation were related to modifiable risk factors of HSI. Twenty-two competitive team sport athletes (24.7 ± 4.3 years, 1.82 ± 0.07 m, 84.9 ± 8.5 kg) participated whereby the Bicep femoris long head (BFLH) fascicle length assessed via ultrasound and isokinetic eccentric hamstring strength was assessed. With running assessment …

Looking At The Nose: Gender, Jewishness, And The Politics Of Visual Mediation, Laura Glitsos

Research outputs 2022 to 2026

The nose is a multisensory organ and a powerful bodily technology that helps orient the experience of consciousness in the material world, and yet, we have come to a socio-technological context so driven by ocularcentrism, largely as a result of the visual nature of social media and new media, that the nose is often reduced to just an idealised ‘shape’. This article explores how the contemporary construction and representation of the nose, especially on social media, is seated in a very long history of gendered and racialised politics. By examining the cultural and political implications of the nose through critical …

Cnn Based Deep Learning Modeling With Explainability Analysis For Detecting Fraudulent Blockchain Transactions, Mohammad Hasan, Mohammad Shahriar Rahman, Mohammad Jabed Morshed Chowdhury, Iqbal H. Sarker

Research outputs 2022 to 2026

In the era of growing cryptocurrency adoption, Blockchain has emerged as a leading player in the digital payment landscape. However, this widespread popularity also brings forth various security challenges, including the need to safeguard against fraudulent activities. One of the paramount challenges in this regard is the detection of fraudulent transactions within the realm of Bitcoin data. This task significantly influences the trust and security of digital payments. Yet, it's a formidable challenge given the relatively low occurrence of fraudulent Bitcoin transactions. While deep learning techniques have demonstrated their prowess in fraud detection, there remains a scarcity of studies exploring …

Trajectories Of Plant-Based Dietary Patterns And Their Sex-Specific Associations With Cardiometabolic Health Among Young Australian Adults, Laura E. Marchese, Sarah A. Mcnaughton, Gilly A. Hendrie, Priscila P. Machado, Therese A. O’Sullivan, Lawrence J. Beilin, Trevor A. Mori, Kacie M. Dickinson, Katherine M. Livingstone

Research outputs 2022 to 2026

Background: Plant-based diets are associated with favourable cardiovascular health markers. Although increasingly consumed among younger demographics, it is unclear how plant-based diet quality tracks from adolescence to young adulthood, and how this impacts cardiovascular health later in life. Thus, this study aimed to explore trajectories of plant-based dietary patterns from adolescence to young adulthood and investigate associations with cardiometabolic health markers in young Australian adults. Methods: Longitudinal data from 417 participants from the Raine Study were included. Semi-quantitative food frequency questionnaires conducted at 14, 20, and 27 years of were used to derive three plant-based diet quality index scores: an …