Digital Commons Network^™

The Exclusivity Of The Christian Faith: A Case For Christ-Alone In A Culture Of Relativism, Brandon Keith Sinclair

Masters Theses

The proposition of absolute and exclusive truth in a culture permeated by relativism is among the most important discussions of today. The answer to this dilemma is imperative. Relativism has not only taken captive secular society, it has infiltrated the thinking of many professing Christians. The traditional Christian message has always been one of exclusivity and Christ-alone. The challenge for the Christian Apologist in a culture of relativism is three-fold: Establish the existence of absolute and exclusive truth, nullify the arguments presented by relativism as unreasonable, illogical, and fallible, and to make a solid case for the unsurpassable uniqueness of …

Transient Tertiary Interactions And Persistence Of Interhelical Turns In The Denatured State Of A Helical Protein, Dustin Corey Becht

Graduate Student Theses, Dissertations, & Professional Papers

Protein folding is the natural process through which a linear polypeptide, originally encoded by a gene, adopts a distinct, three-dimensional structure capable of biological function. Over the last several decades, the denatured state ensemble (DSE), one of the two major populations adopted by a protein along with the native state, has been a topic of interest. Classically, the DSE has been interpreted as a collection of random-coil conformations devoid of any structural features. However, numerous studies have demonstrated that residual structure persists in the denatured state of proteins and may dictate the earliest stages of the protein folding process. Characterization …

The Ethiopian Staple Food Crop Enset (Ensete Ventricosum) Assessed For The First Time For Resistance Against The Root-Lesion Nematode Pratylenchus Goodeyi, Selamawit A. Kidane, Beira H. Meressa, Solveig Haukeland, Anne Kathrine Hvoslef-Eide, Danny L. Coyne

All Peer-Reviewed Publications

Summary – Pratylenchus goodeyi appears to be the most prevalent nematode pest of enset in Ethiopia, where it can occur in extremely high densities. However, the damage to yield or how different enset cultivars react to the nematode has yet to be determined. The current study therefore sought to establish a first assessment of these reactions by enset to P. goodeyi infection. Determining pest-resistant cultivars is an important task in developing management strategies. Our study evaluated nine enset cultivars to establish host response and identify potential sources of resistance. In addition, the pathogenicity of P. goodeyi was assessed on three …

Journal Of Ecology 2021 Global Rainfall-Seagrass Resilience-Swan River, Chanelle L. Webster, Kathryn M. Mcmahon, Paul S. Lavery, Simone Strydom, Marta Sánchez Alarcón, Kieryn L. Kilminster, Katherine Bennet, Sian Mcnamara

Research Datasets

The excel file contains: summary of daily maximum precipitation from global rainfall analysis, monthly change in seagrass indicators (biomass, leaf density etc); water quality data including salinity, temperature and light data. There are also .nc files containing precipitation data from 1979-2019.

Supplementary Table 11: Regional Zotu Table (Data As Relative Abundances), Charlie M. Phelps, Kathryn Mcmahon, Andrew Bissett, Rachele Bernasconi, Peter D. Steinberg, Torsten Thomas, Ezequiel M. Marzinelli, Megan J. Huggett

Research Datasets

This zOTU table is the relative abundances for the whole regional (combined WA and NSW) dataset.

Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change, Paul Radley, Eddie Van Etten, David Blake, Robert Davis

Research Datasets

Characterising patterns of habitat use is an important first step for effective conservation planning. Species restricted to low-lying islands are at greatest risk from climate change-related sea level rise, and requirements for breeding and foraging habitat may determine their risk from tidal inundation. The endangered Micronesian Scrubfowl (Megapodius laperouse senex) is a model species for understanding these impacts. This species faces the cumulative challenges of tourist visitation, invasive species, and rising sea levels, yet little is understood about its habitat use in the Rock Islands Southern Lagoon Conservation Area (RISL) of Palau. We studied the habitat requirements of …

Fmri Feature Extraction Model For Adhd Classification Using Convolutional Neural Network, Senuri De Silva, Sanuwani Udara Dayarathna, Gangani Ariyarathne, Dulani Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

Biomedical intelligence provides a predictive mechanism for the automatic diagnosis of diseases and disorders. With the advancements of computational biology, neuroimaging techniques have been used extensively in clinical data analysis. Attention deficit hyperactivity disorder (ADHD) is a psychiatric disorder, with the symptomology of inattention, impulsivity, and hyperactivity, in which early diagnosis is crucial to prevent unwelcome outcomes. This study addresses ADHD identification using functional magnetic resonance imaging (fMRI) data for the resting state brain by evaluating multiple feature extraction methods. The features of seed-based correlation (SBC), fractional amplitude of low-frequency fluctuation (fALFF), and regional homogeneity (ReHo) are comparatively applied to …

Automated Filtering Of Eye Movements Using Dynamic Aoi In Multiple Granularity Levels, Gavindya Jayawardena, Sampath Jayarathna

Computer Science Faculty Publications

Eye-tracking experiments involve areas of interest (AOIs) for the analysis of eye gaze data. While there are tools to delineate AOIs to extract eye movement data, they may require users to manually draw boundaries of AOIs on eye tracking stimuli or use markers to define AOIs. This paper introduces two novel techniques to dynamically filter eye movement data from AOIs for the analysis of eye metrics from multiple levels of granularity. The authors incorporate pre-trained object detectors and object instance segmentation models for offline detection of dynamic AOIs in video streams. This research presents the implementation and evaluation of object …

De Novo Prediction Of Drug–Target Interactions Using Laplacian Regularized Schatten P-Norm Minimization, Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

In pharmaceutical sciences, a crucial step of the drug discovery is the identification of drug–target interactions (DTIs). However, only a small portion of the DTIs have been experimentally validated. Moreover, it is an extremely laborious, expensive, and time-consuming procedure to capture new interactions between drugs and targets through traditional biochemical experiments. Therefore, designing computational methods for predicting potential interactions to guide the experimental verification is of practical significance, especially for de novo situation. In this article, we propose a new algorithm, namely Laplacian regularized Schatten p-norm minimization (LRSpNM), to predict potential target proteins for novel drugs and potential drugs for …

Large Scale Subject Category Classification Of Scholarly Papers With Deep Attentive Neural Networks, Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles

Computer Science Faculty Publications

Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category classification is a prerequisite for bibliometric studies, organizing scientific publications for domain knowledge extraction, and facilitating faceted searches for digital library search engines. Unfortunately, many academic papers do not have such information as part of their metadata. Most existing methods for solving this task focus on unsupervised learning that often relies on citation networks. However, a complete list of papers citing the current paper may not be readily available. In particular, new papers that have few …

A Tool For Segmentation Of Secondary Structures In 3d Cryo-Em Density Map Components Using Deep Convolutional Neural Networks, Yongcheng Mu, Salim Sazzed, Maytha Alshammari, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Although cryo-electron microscopy (cryo-EM) has been successfully used to derive atomic structures for many proteins, it is still challenging to derive atomic structures when the resolution of cryo-EM density maps is in the medium resolution range, such as 5–10 Å. Detection of protein secondary structures, such as helices and β-sheets, from cryo-EM density maps provides constraints for deriving atomic structures from such maps. As more deep learning methodologies are being developed for solving various molecular problems, effective tools are needed for users to access them. We have developed an effective software bundle, DeepSSETracer, for the detection of protein secondary structure …

Analysis Of Subtelomeric Rextal Assemblies Using Quast, Tunazzina Islam, Desh Ranjan, Mohammad Zubair, Eleanor Young, Ming Xiao, Harold Riethman

Computer Science Faculty Publications

Genomic regions of high segmental duplication content and/or structural variation have led to gaps and misassemblies in the human reference sequence, and are refractory to assembly from whole-genome short-read datasets. Human subtelomere regions are highly enriched in both segmental duplication content and structural variations, and as a consequence are both impossible to assemble accurately and highly variable from individual to individual. Recently, we developed a pipeline for improved region-specific assembly called Regional Extension of Assemblies Using Linked-Reads (REXTAL). In this study, we evaluate REXTAL and genome-wide assembly (Supernova) approaches on 10X Genomics linked-reads data sets partitioned and barcoded using the …

Systematizing Confidence In Open Research And Evidence (Score), Nazanin Alipourfard, Beatrix Arendt, Daniel M. Benjamin, Noam Benkler, Michael Bishop, Mark Burstein, Martin Bush, James Caverlee, Yiling Chen, Chae Clark, Anna Dreber Almenberg, Timothy M. Errington, Fiona Fidler, Nicholas Fox, Aaron Frank, Hannah Fraser, Scott Friedman, Ben Gelman, James Gentile, Jian Wu, Et Al., Score Collaboration

Computer Science Faculty Publications

Assessing the credibility of research claims is a central, continuous, and laborious part of the scientific process. Credibility assessment strategies range from expert judgment to aggregating existing evidence to systematic replication efforts. Such assessments can require substantial time and effort. Research progress could be accelerated if there were rapid, scalable, accurate credibility indicators to guide attention and resource allocation for further assessment. The SCORE program is creating and validating algorithms to provide confidence scores for research claims at scale. To investigate the viability of scalable tools, teams are creating: a database of claims from papers in the social and behavioral …

Acquired Organizational Immune And Its Impact On The Application Of Knowledge Management Strategies: Analytical Study Of The Opinions Of A Sample Of Lecturer Staff At The Technical College Of Engineering And The Technical Institute Of Amara, Fadhil Abbass Hassan

Journal of Economics and Administrative Sciences

The present study aims to reveal the extent of the influence of the acquired organizational immune through its dimensions (organizational vaccination, organizational learning, organizational memory, and benchmarking) in the application of knowledge management strategies in its two dimensions (codification strategy, personalization strategy) as well as clarifying that influential relationship between the study variables Because of its importance in reducing resistance to change by responding to the requirements of the environment. A set of main and sub-hypotheses emerged from the study, which was formulated in view of the hypothesis scheme of the study, and in order to achieve its objectives, answer …

Biological Constraints On Neural Network Models Of Cognitive Function, Friedemann Pulvermüller, Rosario Tomasello, Malte R. Henningsen-Schomers, Thomas Wennekers

School of Engineering, Computing and Mathematics

Neural network models are potential tools for improving our understanding of complex brain functions. To address this goal, these models need to be neurobiologically realistic. However, although neural networks have advanced dramatically in recent years and even achieve human-like performance on complex perceptual and cognitive tasks, their similarity to aspects of brain anatomy and physiology is imperfect. Here, we discuss different types of neural models, including localist, auto-associative, hetero-associative, deep and whole-brain networks, and identify aspects under which their biological plausibility can be improved. These aspects range from the choice of model neurons and of mechanisms of synaptic plasticity and …

The Coaches’ Eye: Exploring Coach Decision-Making During Talent Identification, Alexandra Hannah Roberts

Theses: Doctorates and Masters

For decades, researchers and practitioners interested in talent identification have discussed the coaches’ eye: the elusive ability that allows some coaches to ‘see’ qualities in an athlete that point to their talent or future potential. While there is significant anecdotal evidence of coaches who possess this ability, there is little empirical research supporting the validity or reliability of the coaches’ eye. Guided by ecological dynamics, this thesis employs mixed methodologies to explore the decision-making that underpins how high-level coaches identify talent in Olympic combat sports. These four studies captured the processes of thirty- four coaches during the talent identification process, …

An Exploration Of The Relationship Between Aphasia Therapy, Depression And Quality Of Life In Post-Stroke Patients After Rehabilitation At 12 And 26 Weeks After Stroke: A Verse Sub-Study, Alia Rashid Khan

Theses: Doctorates and Masters

Background: Depression is a common consequence of stroke, and people with aphasia (PWA) post-stroke have a higher risk of developing depression compared to stroke survivors without aphasia. However, current stroke interventions featuring aphasia therapy tend to neglect the effect of the treatment on mood. There is also a lack of evidence on the impact of stroke education and counselling on PWA in early stroke recovery. Additionally, the research on post-stroke depression often excludes or insufficiently describes PWA in study populations. The influence of direct aphasia therapy on depression in PWA is undetermined. This sub-study investigated: i) the effect of …

Investigating Self-Efficacy: Early Childhood Teachers’ Understanding Of Self-Efficacy, Dimity Franks

Theses: Doctorates and Masters

Students are experiencing an increased pressure to perform academically at a younger age with reports of the narrowing of curriculum and student disengagement. Current research literature suggests curricula should reflect the increased pressures students are facing. A focus on the social and emotional skills to support student learning is recommended to increase student engagement and enrichment and prepare students for their future. Self-efficacy is one element of social and emotional learning that demands attention. Self-efficacy is considered important for teachers to understand as it can predict how students approach their tasks as well as influence their levels of motivation and …

Assessment Of The Clinical Validity Of Ctdna Analysis For Melanoma Management, Anda-Gabriela Marsavela

Theses: Doctorates and Masters

Metastatic melanoma is responsible for almost 80% of all skin cancer-related deaths and the incidence of people affected continues to rise worldwide. The emergence of targeted therapy and immune-checkpoint inhibitors has improved the clinical management of melanoma, but durable survival benefit is only seen in a minority of patients. The use of these very expensive systemic therapies on all appropriate patients also poses a high economic burden on health systems across numerous countries. Currently, surveillance for treatment failure is not optimal. Thus, reliable and accurate biomarkers of patient disease status are urgently required.

Circulating tumour DNA (ctDNA) analysis has emerged …

Experimental And Cfd–Pbm Investigation Of An Agitated Bioreactor Using A Dual Helical Ribbon Impeller, Maryamsadat Amiraftabi

Theses: Doctorates and Masters

Throughout past decades, the management of solid waste by producing methane gas, as a renewable source of energy, has featured as an important research objective. Anaerobic digesters are widely used in countries with environmental initiatives and green approaches, where biogas produced from a bioreactor is a carbon neutral source of energy. Biogas contains 70% methane, 30% CO2 and some other gases. The by-product of an anaerobic digester is solid sludge that can be used as either fertilizer or compost.

Anaerobic digestion biogas plants can benefit industries by adding value to solid organic waste, reducing fossil fuel usage, eliminating solid waste …

Application Of The Vortex Fluid Device (Vfd) In Polysulfone Synthesis And Ultra-Filtration Membrane Fabrication For Water Treatment Purposes, Aghil Igder

Theses: Doctorates and Masters

Extensive studies have been performed to improve key properties of filtration membranes via controlling the fabrication process conditions as well as physical and/or chemical modification of the polymers used in membrane fabrication. The Vortex Fluid Device (VFD) is a newly invented platform which has found many applications in materials science and clean technology. The unique features of the VFD originate from a combination of different effects (e.g., micro-mixing, viscous drag, microfluidic flow, enhanced mass transfer) all resulting in faster, greener, and more efficient and better controlled chemical reactions. The main aims of this project are: (i) to investigate the utility …

Power Network And Smart Grids Analysis From A Graph Theoretic Perspective, Hossein Parast Vand

Theses: Doctorates and Masters

The growing size and complexity of power systems has given raise to the use of complex network theory in their modelling, analysis, and synthesis. Though most of the previous studies in this area have focused on distributed control through well established protocols like synchronization and consensus, recently, a few fundamental concepts from graph theory have also been applied, for example in symmetry-based cluster synchronization. Among the existing notions of graph theory, graph symmetry is the focus of this proposal. However, there are other development around some concepts from complex network theory such as graph clustering in the study.

In spite …

An Assessment Of Health Hazards Associated With The Use Of Water Mist Systems As A Cooling Intervention In Australia, Edmore Masaka

Theses: Doctorates and Masters

Water mist systems (WMS) installed and used for cooling ambient temperatures in public places fall within the category of premise plumbing. Premise plumbing refers to the water distribution networks that lie downstream of the water meter, and within buildings. The colonization of premise plumbing by opportunistic premise plumbing pathogens (OPPPs) such as Legionella pneumophila, Pseudomonas aeruginosa, Mycobacterium avium, Acanthamoeba and Naegleria fowleri is emerging as a challenge for public health and water quality management. Contrary to other premise plumbing features like showers and domestic taps that have been implicated in various waterborne infections, the health risks associated with WMS are …

Mindfulness Practices In Secondary Schools: Exploring Teachers’ Attitudes, And The Barriers And Facilitators To Achieving Teacher Buy-In To A Whole-School Approach, Willow Jefferies

Theses: Doctorates and Masters

Mindfulness practices are increasingly being introduced into schools as a whole-school approach, with teachers often responsible for implementing the exercises with their students. The aim of this research project was to explore the attitudes secondary teachers hold towards mindfulness practices and determine the barriers to and facilitators of teachers buying-in to a mindfulness initiative. A qualitative research methodology was utilised with twelve semistructured interviews conducted across three Perth metropolitan secondary schools. Interview questions were devised using both attitudinal constructs and the Revised Theoretical Domains Framework (TDF-R). In order to separately explore both teachers’ attitudes towards mindfulness practices and the barriers …

Unravelling The Potential Applications Of Extracellular Vesicles For The Clinical Management Of Melanoma Patients, Michael Edward Clark

Theses: Doctorates and Masters

Metastatic melanoma is the third most common cancer in Australia with global incidence increasing. After decades without effective systemic treatments for advanced melanoma, the advent of targeted and immune therapies has substantially improved patient survival. While this is encouraging, further research is needed as the majority of patients treated with targeted therapy ultimately develop drug resistance. Immunotherapy can achieve durable responses in many patients however, not all patients respond to current single or a combination of immune checkpoint inhibitors. Considering the cost and potential toxicities to patients being treated with these therapies, there is an urgent need to develop biomarkers …

Comparison Of The Patterns Of Spread Of Human Metapneumovirus (Hmpv) And Respiratory Syncytial Virus (Rsv) In Africa Using Virus Sequence Data, John W. Oketch

All Master’s Theses

Background: Human metapneumovirus(HMPV) and respiratory syncytial virus (RSV) are the leading causes of viral severe acute respiratory diseasein childhood. They are related viruses from the Pneumoviridaefamily andshow overlapping clinical, epidemiological and transmission features.Whether the two viruses also share similar patterns of geographic spread remains unknown; this may provide insight on common modalities of control. Materials and Methods:Using 232 HMPV and 842 RSV attachment (G) glycoprotein gene sequences obtained from Gambia, Zambia, Mali, South Africa, and Kenya,between August 2011andJanuary 2014,we conducted acomparative phylogenetic and phylogeographic analysesto explore the spatial-temporal patterns of HMPV and RSV across Africa using Bayesian discrete phylogeography. Results:HMPV …

Impact Of Metarhizium Anisopliae And Beauveria Bassiana On Bee Pollinators (Hymenoptera: Apidae), And Modelling Their Performance In Bee Colonies, Evanson Rigan Omuse

All Master’s Theses

Insect pollination sustains the biodiversity of 90% of wild plants, and 75% of crop species for food and nutritional security. Chemical pesticides used to manage arthropod pests constitute a key driver to the unprecedented declines of insect pollinators worldwide. Hence, biopesticides based on entomopathogenic fungi (EPF) are being promoted as safer alternatives. The effects of EPF on insect pollinators have not been investigated in detail for the application in pollinator-resourced crop systems.Thus, this study screened EPF isolates of Metarhizium anisopliae (ICIPE 7, ICIPE 20,ICIPE 62, ICIPE 69 and ICIPE 78), and Beauveria bassiana (ICIPE 284) for their effect on the …

Comparing Mitochondrial Gene Sequences Of Aedes Aegypti In East Africa To The Global Anthropophilic Strain, Brian Bwanya Edward

All Master’s Theses

Advances in genotyping methods have shed more light into mosquito genetics and improved our understanding of vector-borne disease transmission cycles. Outside of Africa, Aedes aegypti, the main vector of arboviruses such as dengue, chikungunya, yellow fever, and Zika viruses, prefers humans for a blood meal, resting and breeding in close association with human settlements. However, in its native African ecology, both domestic (Aedes aegypti aegypti) and sylvatic (forest) (Aedes aegypti formosus) lineages occur. Further, the African Ae. aegypti populations have been found to exhibit divergence in typically conserved mitochondrial cytochrome c oxidase subunit I (COI) genes and traits of epidemiological …

Perfomance Of Exotic Chicken Fed Insect-Based Diets Effect On Laying Capacity, Egg Characteristics And Economic Returns, Esther Khayanga Sumbule

All Master’s Theses

Increasing demand for soybean meal and fishmeal for use in formulating animal feeds has led to increased prices and moreover their availability in future might be limited. Insect rearing can be part of the solution because they take a short period to mature, require small space and fewer resources to start. This study was designed to evaluate the effect of substituting fishmeal (FM)with black soldier fly larvae (BSFLM) at different inclusion levels, as a protein source in exotic chick, grower, and layers diets. The following parameters were measured, weight gain, feed intake, feed conversion ratio (FCR), laying percentage, egg characteristics …

Design And Catastrophe: 51 Scientists Explore Evidence In Nature, Gordon J. Atkins

Faculty Publications

Review of

L. James Gibson, Ronny Nalin, and Humberto M. Rasi, eds. Design and Catastrophe: 51 Scientists Explore Evidence in Nature (Berrien Springs, Mich.: Andrews University Press, 2021). ISBN: 9781940980305 (Print). 240 pages (Hardback), US$24.99.