Digital Commons Network^™

Me Too? Incentivising States To Adopt Consent-Based Sex Education, Seth Reiner

Faculty Scholarship

In November 2018, Columbia University published a study showing that students who received formal sex education before entering college that included training in refusing unwanted sex were half as likely to be assaulted as those who had not. That study claims to be the first to research sex education’s effect on sexual violence instead of its impact on pregnancy or HIV prevention. A different study, conducted by Planned Parenthood in 2015, shows confusion around the definition of sexual consent itself: it found that 19% of people strongly agreed that not saying “no” indicated consent for more sexual activity, whereas 20% …

Technologies Of Language Meet Ideologies Of Law, Anya Bernstein

Faculty Scholarship

This Article challenges this new prevailing wisdom, puts legal corpus linguistics in the context of other meaning-making technologies, and suggests an approach for analyzing any technology of language in the law. One of my aims is to caution against technological exceptionalism—a view that computerized, automated, or big-data approaches are somehow special, perhaps more trustworthy, less subjective, and most likely to succeed. Rather, I argue that we should ask the same questions and make the same demands of any method of interpretation.

Any technology, after all, is only as useful as the way it is used: Technology depends on technique. So …

Teacher Perceptions On Preparedness And Implementation Of Embedding 21st Century Skills Into Instructional Practices In Indiana Secondary Schools, Amanda Ferriell Landrum

All-Inclusive List of Electronic Theses and Dissertations

Teachers in Indiana are at a crossroads of college and career preparation. With ever changing benchmarks for Indiana high school graduation, it has become imperative for schools across our state to prepare students for life after K-12. Research has shown that embedding 21st century skills of collaboration, communication, creativity, and critical thinking into instructional practices is a necessity of a new work force needed for the flat world brought about by a global economy. The purpose of this study was to determine Indiana teacher perceptions on their preparedness to embed 21st century skills into their teaching. Did their university and …

The Problem-Solving Mode: Social Scientists Back Home And The Limits Of Critique, Czarina Saloma-Akpedonu

Sociology & Anthropology Department Faculty Publications

Abundant debates on the problematic positioning of intellectuals in the Global South are typically confined to migrant scholars and to the insider/outsider binary vis-à-vis their object/subject of study. Yet intellectuals back home—both those returning and those who never left—must also forge through the fraught politics of location and epistemic privilege as the other side of the same coin. Nowhere is the politics of location perhaps more striking than in the social sciences and among social scientists based in the Global South who have mostly been trained in Western universities or in Westernized local universities. As academics who mobilize knowledge in …

Large Reductions In Match Play Physical Performance Variables Across A Professional Football Season With Control For Situational And Contextual Variables, Matthew Springham, Sean Williams, Mark Waldron, Darren Burgess, Robert Usher Newton

Research outputs 2014 to 2021

This investigation examined match play physical performance across a professional football season using a multicamera computerized tracking system. A linear mixed-effects model, controlling for situational and contextual variables, identified decreases in team average total distance (TD): season quarter 1 (Q1) (11,047 m) > season quarter 2 (Q2) (10,473 m) ( = ; ES = ), season quarter 3 (Q3) (10,449 m) ( < 0.001; ES = ), and season quarter 4 (Q4) (10,385 m) ( < 0.001; ES = ); work rate (WR): Q1 (115 m/min) > Q3 (108 m/min) ( < 0.001; ES = ), Q4 (107 m/min) ( < 0.001; ES = ); Q2 (109 m/min) > Q4 (107 m/min) ( = 0.003; ES = ); high-speed running distance (HSR): Q1 (1,051 m) > Q2 (813 m) ( = 0.006; ES = ); number of high-speed runs (NHSR): Q1 (87) > Q2 (65) ( …

Biopsychosocial Risk Factors And Knowledge Of Cervical Cancer Among Young Women: A Case Study From Kenya To Inform Hpv Prevention In Sub-Saharan Africa, Irene Ngune, Fatch Kalembo, Barbara Loessl, Lucy W. Kivuti-Bitok

Research outputs 2014 to 2021

Background Cervical cancer is the second most common female reproductive cancer after breast cancer with 84% of the cases in developing countries. A high uptake of human papilloma virus (HPV) vaccination and screening, and early diagnosis leads to a reduction of incidence and mortality rates. Yet uptake of screening is low in Sub-Saharan Africa and there is an increasing number of women presenting for treatment with advanced disease. Nine women in their twenties die from cervical cancer in Kenya every day. This paper presents the biopsychosocial risk factors that impact on cervical cancer knowledge among Kenyan women aged 15 to …

A Holistic Review Of Cybersecurity And Reliability Perspectives In Smart Airports, Nickolaos Koroniotis, Nour Moustafa, Francesco Schiliro, Praveen Gauravaram, Helge Janicke

Research outputs 2014 to 2021

Advances in the Internet of Things (IoT) and aviation sector have resulted in the emergence of smart airports. Services and systems powered by the IoT enable smart airports to have enhanced robustness, efficiency and control, governed by real-time monitoring and analytics. Smart sensors control the environmental conditions inside the airport, automate passenger-related actions and support airport security. However, these augmentations and automation introduce security threats to network systems of smart airports. Cyber-attackers demonstrated the susceptibility of IoT systems and networks to Advanced Persistent Threats (APT), due to hardware constraints, software flaws or IoT misconfigurations. With the increasing complexity of attacks, …

Towards Geostatistical Learning For The Geosciences: A Case Study In Improving The Spatial Awareness Of Spectral Clustering, Hassan Talebi, L. J. M. Peeters, Ute Mueller, R. Tolosana-Delgado, K. G. Van Den Boogaart

Research outputs 2014 to 2021

The particularities of geosystems and geoscience data must be understood before any development or implementation of statistical learning algorithms. Without such knowledge, the predictions and inferences may not be accurate and physically consistent. Accuracy, transparency and interpretability, credibility, and physical realism are minimum criteria for statistical learning algorithms when applied to the geosciences. This study briefly reviews several characteristics of geoscience data and challenges for novel statistical learning algorithms. A novel spatial spectral clustering approach is introduced to illustrate how statistical learners can be adapted for modelling geoscience data. The spatial awareness and physical realism of the spectral clustering are …

Mechanisms Underpinning An Improvement In Dynamic Muscle Force Production Following A High-Intensity Warm-Up, Cody J. Wilson

Theses: Doctorates and Masters

The present research explored the mechanisms underpinning the enhancement of voluntary knee extensor torque after (1) extensive task-specific practice, and then (2) brief, intense warm-up exercise (conditioning activity; CA) as part of a complete warm-up routine. The same warm-up was completed in two Experiments (detailed below). In Experiment 1, voluntary (180⁰·s-1; T180) and electrically-evoked (isometric) knee extensor torques and electromyogram (EMG) and muscle temperature (Tm) data were recorded before and after (1) extensive task-specific practice where peak voluntary knee extensor performance was achieved, and (2) two isokinetic CAs matched for total concentric contraction time (CA60: 5 repetitions at 60⁰·s-1 vs. …

Determining Ground-Level Composition And Concentration Of Particulate Matter Across Regional Areas Using The Himawari-8 Satellite, Miles Sowden

Theses: Doctorates and Masters

Speciated ground-level aerosol concentrations are required to understand and mitigate health impacts from dust storms, wildfires and other aerosol emissions. Globally, surface monitoring is limited due to cost and infrastructure demands. While remote sensing can help estimate respirable (i.e. ground level) concentrations, current observations are restricted by inadequate spatiotemporal resolution, uncertainty in aerosol type, particle size, and vertical profile. One key issue with current remote sensing datasets is that they are derived from reflectances observed by polar orbiting imagers, which means that aerosol is only derived during the daytime, and only once or twice per day.

Sub-hourly, infrared (IR), geostationary …

An Investigation Into The Spatial Distribution, Habitat Selection And Resource Usage Of The Red Fox (Vulpes Vulpes) Inhabiting Urban Reserves Within Perth, Western Australia, Michael Thomas Main

Theses: Doctorates and Masters

I attempted to track a population of urban foxes in Kings Park, but due to collar failure, only one collar was retrieved. The GPS telemetry data from this fox produced home range estimates for minimum convex polygon (MCP) and kernel density (KD) of 0.302 km² and 0.331 km², respectively. The fox was predominantly active at night, with a ten-fold increase in movement during nocturnal periods when compared to daytime movements. Roads and man-made tracks were important for facilitating movement of the fox through its home range, with almost 97% of location fixes recorded within 100m of these features. The fox …

Our Covid-19 Artwork: Children From Around The World Share Their Experiences, Bernie Carter, Mandie Foster, Therese O'Sullivan, Angela A. Quaye, The International Network For Child And Family Centered Care

Research outputs 2014 to 2021

We gave children the opportunity to share a piece of artwork that
reflected something about their experience of life during COVID-19
restrictions (March-May 2020). The descriptions, stories and poems
presented in this e-book have been transferred verbatim from the
original submissions.

For each submission, we asked about the level of COVID-19
restrictions experienced by the child at the time of their entry. These
levels consisted of:

* None (no change to normal living routine)
* Minimal (e.g. still attending school, but not allowed to play with
friends after school)
* Some (e.g. still attending school, but not allowed to play …

A Review Of Nyoongar Responses To Severe Climate Change And The Threat Of Epidemic Disease—Lessons From Their Past, Francesca Robertson, Jason Barrow

Research outputs 2014 to 2021

Nyoongar people have lived in the South West of Western Australia for at least 50,000 years. During that time, they experienced significant climate change, including wide variations in temperature and rainfall, and hundreds of metres’ difference in sea levels. Nyoongar people have a long memory, and climate change is described in their stories and in the knowledge they hold about how life was lived in earlier times. There are artifacts and places that have been manipulated to be productive despite severe drought. COVID-19 disrupted the writing of this article, and the authors felt it appropriate to include Nyoongar responses to …

Biplots For Compositional Data Derived From Generalized Joint Diagonalization Methods, Ute Mueller, R. Tolosana Delgado, E. C. Grunsky, J. M. Mckinley

Research outputs 2014 to 2021

Biplots constructed from principal components of a compositional data set are an established means to explore its features. Principal Component Analysis (PCA) is also used to transform a set of spatial variables into spatially decorrelated factors. However, because no spatial structures are accounted for in the transformation the application of PCA is limited. In geostatistics and blind source separation a variety of different matrix diagonalization methods have been developed with the aim to provide spatially or temporally decorrelated factors. Just as PCA, many of these transformations are linear and so lend themselves to the construction of biplots. In this contribution …

Anti-Uterine Fibroid Effect Of Standardized Labisia Pumila Var. Alata Extracts In Vitro And In Human Uterine Fibroid Cancer Xenograft Model, Norfahana Zakaria, Khamsah S. Mohd, Mohammed A. A. Saeed, Loiy E. A. Hassan, Armaghan Shafaei Darestani, Fouad S. R. Al-Suede, Abdul H. Memon, Zhari Ismail

Research outputs 2014 to 2021

Background: Uterine fibroids are a common type of solid tumor presenting in women of reproductive age. There are very few alternative treatment available from conventional treatment involving surgeries. Labisia pumila var. alata or locally known as ‘Kacip Fatimah’ was widely used as traditional medicine in Malaysia. This plant has been used to maintain a healthy female reproductive system. The present study aimed to evaluate anti fibroid potential of L. pumila extracts through in vitro apoptosis activity against uterine leiomyoma cells (SK-UT-1) and in uterine leiomyoma xenograft model. Evaluation of bioactive markers content were also carried out. Methods: Apoptotic induction of …

A Secure And Energy-Aware Approach For Cognitive Radio Communications, Haitham Khaled, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung

Research outputs 2014 to 2021

The cognitive radio (CR) technique has revealed a novel way of utilizing the precious radiospectrum via allowing unlicensed users to opportunistically access unutilized licensed bands. Using sucha technique enables agile and flexible access to the radio spectrum and can resolve the spectrum-scarcityproblem and maximize spectrum efficiency. However, two major impediments have been limiting thewidespread adoption of cognitive radio technology. The software-defined radio technology, which is theenabling technology for the CR technique, is power-hungry and this raises a major concern for battery-constrained devices such as smart phones and laptops. Secondly, the opportunistic and open nature ofthe CR can lead to major …

Gait Entrainment In Coupled Oscillator Systems: Clarifying The Role Of Energy Optimization In Human Walking, Ryan T. Schroeder

Theses: Doctorates and Masters

Empirical evidence suggests that parameters of human gait (e.g. step frequency, step length) tend to minimize energy expenditure. However, it is unclear if individuals can adapt to dynamic environments in real time, i.e. continuously optimize energy expenditure, and to what extent. Two coupled oscillator systems were used to test the learned interactions of individuals within dynamic environments: (1) experienced farmworkers carrying oscillating loads on a flexible bamboo pole and (2) individuals walking on a treadmill while strapped to a mechatronics oscillator system providing periodic forces to the body. Reductionist trajectory optimization models predicted energy-minimizing gait interactions within the coupled oscillator …

Deriving Statistical Inference From The Application Of Artificial Neural Networks To Clinical Metabolomics Data, Kevin M. Mendez

Theses: Doctorates and Masters

Metabolomics data are complex with a high degree of multicollinearity. As such, multivariate linear projection methods, such as partial least squares discriminant analysis (PLS-DA) have become standard. Non-linear projections methods, typified by Artificial Neural Networks (ANNs) may be more appropriate to model potential nonlinear latent covariance; however, they are not widely used due to difficulty in deriving statistical inference, and thus biological interpretation. Herein, we illustrate the utility of ANNs for clinical metabolomics using publicly available data sets and develop an open framework for deriving and visualising statistical inference from ANNs equivalent to standard PLS-DA methods.

Power Output, Cadence, And Torque Are Similar Between The Forward Standing And Traditional Sprint Cycling Positions, Paul F. J. Merkes, Paolo Menaspà, Chris R. Abbiss

Research outputs 2014 to 2021

Purpose: Compare power output, cadence, and torque in the seated, standing, and forward standing cycling sprint positions.

Methods: On three separated occasions (ie, one for each position), 11 recreational male road cyclists performed a 14 seconds sprint before and directly after a high-intensity lead-up. Power output, cadence, and torque were measured during each sprint. Results: No significant differences in peak and mean power output were observed between the forward standing (1125.5 ± 48.5 W and 896.0 ± 32.7 W, respectively) and either the seated or standing positions (1042.5 ± 46.8 W and 856.5 ± 29.4 W; 1175.4 ± 44.9 W …

Improving Science Teaching Through The Use Of Video Reflection And A Pck-Based Teaching Framework, Dallas Bruce

Theses: Doctorates and Masters

Effective teaching and teachers are vital for improved outcomes in Science, Technology, Engineering and Mathematics (STEM) education and scientific literacy. Supporting the goals of contemporary science education calls for constructivist learning approaches, with an emphasis on inquiry-based, student-centred learning, which demands that teachers develop a wider repertoire and more innovative pedagogical skills. Pedagogical Content Knowledge (PCK) research was used to prepare a conceptual framework of effective teaching skills and knowledge areas which was used in a teacher professional development (PD) initiative. This qualitative study employed a case study methodology with a small group of experienced, secondary Science teachers. An ethnographic, …

Web Content Management System And Accessibility Awareness: A Comparative Study Of Novice Users And Accessibility Outcomes, Fatima Artiba Diaz

Theses: Doctorates and Masters

Since its creation, the Web has progressively developed and become a vital source of information in every domain and for almost all people. It is crucial to guarantee that the information contained on the Web is available for everyone, especially for people with special needs. Removing accessibility barriers is fundamentally based on tools, skills and support of all contributors, particularly the content creators, to ensure information is navigable and usable in the context of the end users experience. Web Content Management Systems play a significant role in structuring, storing and provision content to the Web and have evolved to address …

Iot-Mqtt Based Denial Of Service Attack Modelling And Detection, Naeem Firdous Syed

Theses: Doctorates and Masters

Internet of Things (IoT) is poised to transform the quality of life and provide new business opportunities with its wide range of applications. However, the bene_ts of this emerging paradigm are coupled with serious cyber security issues. The lack of strong cyber security measures in protecting IoT systems can result in cyber attacks targeting all the layers of IoT architecture which includes the IoT devices, the IoT communication protocols and the services accessing the IoT data. Various IoT malware such as Mirai, BASHLITE and BrickBot show an already rising IoT device based attacks as well as the usage of infected …

English Proficiency Of Vietnamese Business Graduates: Requirements Of Government, Private Universities, And Foreign Employers, Tien Tung Le

Theses: Doctorates and Masters

English is the global language of business, trade, tourism, technology, science and politics. It is also the official language in many foreign companies (Kam, 2002) and proficiency in English is therefore an advantage for acquiring employment in foreign companies where the working environment is multilingual, professional and highly competitive.

As a dynamic developing country in Southeast Asia, Vietnam has attracted substantial foreign investment since the introduction of Doi Moi or the Renovation policy in 1986. Over the last three decades, a number of foreign companies have established themselves in the country, creating numerous employment opportunities for young Vietnamese people, especially …

Stable Dispersion Of Coal Fines During Hydraulic Fracturing Flowback In Coal Seam Gas Reservoirs - An Experimental Study, Faisal Ur Rahman Awan, Alireza Keshavarz, Hamed Akhondzadeh, Sarmad Al-Anssari, Ahmed Al-Yaseri, Ataollah Nosrati, Muhammad Ali, Sefan Iglauer

Research outputs 2014 to 2021

In subterranean coal seam gas (CSG) reservoirs, massive amounts of small-sized coal fines are released during the production and development stages, especially during hydraulic fracturing stimulation. These coal fines inevitably cause mechanical pump failure and permeability damage due to aggregation and subsequent pore-throat blockage. This aggregation behavior is thus of key importance in CSG production and needs to be minimized. Consequently, such coal fines dispersions need to be stabilized, which can be achieved by the formulation of improved fracturing fluids. Here, we thus systematically investigated the effectiveness of two additives (ethanol, 0.5 wt % and SDBS, 0.001 and 0.01 wt …

Optical And Chromaticity Properties Of Metal-Dielectric Composite-Based Multilayer Thin-Film Structures Prepared By Rf Magnetron Sputtering, Mohammad Nur-E-Alam, Mohammad M. Rahman, Mohammad Khairul Basher, Mikhail Vasiliev, Kamal Alameh

Research outputs 2014 to 2021

Coated glass products, and especially the low-emissivity coatings, have become a common building material used in modern architectural projects. More recently, these material systems became common in specialized glazing systems featuring solar energy harvesting. Apart from achieving the stability of optical parameters in multilayer coatings, it is also important to have improved control over the design of visual color properties of the coated glass. We prepare metal-dielectric composite (MDC)-based multilayer thin-film structures using the radio frequency (RF)-magnetron sputtering deposition and report on their optical and chromaticity properties in comparison with these obtained using pure metal-based Dielectric/Metal/Dielectric (DMD) trilayer structures of …

Assessment Of Post-Wildfire Erosion Risk And Effects On Water Quality In South-Western Australia, David Blake, Petter Nyman, Helen Nice, Frances M.L. D'Souza, Christopher R.J. Kavazos, Pierre Horwitz

Research outputs 2014 to 2021

Investigations of wildfire impact on water resources have escalated globally over the last decade owing to an awareness of climate-related vulnerabilities. Within Australia, research into post-wildfire erosion has focused on water supply catchments in the south-eastern region. Here, we examine post-wildfire erosion risk and its potential for water quality impacts in a catchment in south-western Australia. The catchment of the Harvey River, which drains from forested escarpments onto an agricultural coastal plain and into valuable coastal wetlands, was burnt by wildfire in 2016. The aims of this study were to determine erosion risk across contrasting landforms and variable fire severity, …

Thermal-Hydraulic Performance In A Microchannel Heat Sink Equipped With Longitudinal Vortex Generators (Lvgs) And Nanofluid, Basel Al Muallim, Mazlan A. Wahid, Hussain A. Mohammed, Mohammed Kamil, Daryoush Habibi

Research outputs 2014 to 2021

In this study, the numerical conjugate heat transfer and hydraulic performance of nanofluids flow in a rectangular microchannel heat sink (RMCHS) with longitudinal vortex generators (LVGs) was investigated at different Reynolds numbers (200-1200). Three-dimensional simulations are performed on a microchannel heated by a constant temperature with five different configurations with different angles of attack for the LVGs under laminar flow conditions. The study uses five different nanofluid combinations of Al2O3 or CuO, containing low volume fractions in the range of 0.5% to 3.0% with various nanoparticle sizes that are dispersed in pure water, PAO (Polyalphaolefin) or ethylene glycol. The results …

Solids Velocity Measurement Using Electric Capacitance Sensor Assemblies, Usama Abrar, Liu Shi, Nasif Raza Jaffri, Qin Li, Hassan Raza Sindhu, Mian Waqas Omar

Research outputs 2014 to 2021

This paper covers the application of the cross-correlation method for measuring the velocity of solid particles. Capacitive electrodes are used as primary sensors to measure the time required by the solid particles to cover a known distance between the electrodes. The capacitive variations of both the electrode sensors are stored in computer synchronously for offline estimation of the velocity of the solid particles. Single glass marble is used as a solid particle to conduct the performance in the lab for its good signal to noise ratio (SNR) and vivid graphs. Matlab R2018a is used as a programming tool to perform …

The Implications Of The Non-Linguistic Modes Of Meaning For Language Learners In Science: A Review, Melanie Williams

Research outputs 2014 to 2021

In response to the globally escalating number of language learners tasked with learning science through a foreign language, this review seeks to bring new perspectives by reframing research findings, still dominated by historical language assumptions, through a contemporary language lens. We aim to unearth, amalgamate and expose the potentials of non-linguistic modes described by the theory of multiliteracies that appear sporadic and fragmentary within studies due to their linguistic focus, as we surmise they offer language learners alternative avenues for meaning-making. 40 peer-reviewed empirical studies published between 1995 and 2019 were systematically found and examined using theoretical thematic analysis to …

Performances Of The Lbp Based Algorithm Over Cnn Models For Detecting Crops And Weeds With Similar Morphologies, Vi Nguyen Thanh Le, Selam Ahderom, Kamal Alameh

Research outputs 2014 to 2021

Weed invasions pose a threat to agricultural productivity. Weed recognition and detection play an important role in controlling weeds. The challenging problem of weed detection is how to discriminate between crops and weeds with a similar morphology under natural field conditions such as occlusion, varying lighting conditions, and different growth stages. In this paper, we evaluate a novel algorithm, filtered Local Binary Patterns with contour masks and coefficient k (k-FLBPCM), for discriminating between morphologically similar crops and weeds, which shows significant advantages, in both model size and accuracy, over state-of-the-art deep convolutional neural network (CNN) models such as VGG-16, VGG-19, …