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Articles 901 - 930 of 6607
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Perspectives Of Reading For Pleasure Pedagogy In Western Australian School Classrooms, Jessica Nailer
Perspectives Of Reading For Pleasure Pedagogy In Western Australian School Classrooms, Jessica Nailer
Theses
Australian children read for pleasure less and less as they move through primary school, with a noticeable decline emerging in the middle primary school years. Reading for Pleasure at School (RfPS) also appears to have become de-prioritised in primary schools, with greater emphasis in the broader literacy education dialogue placed on instructional reading pedagogy and standardised literacy testing. This research focused on the pedagogy that meaningfully supports RfPS in Years 3-6, within a framework of school culture, teacher practices and the physical environment. This investigation aimed to explore the perspectives of three key stakeholder groups from one Western Australian independent …
Genetic Selection For Improved Efficiency And Profitability In Beef Cattle, David Kelly
Genetic Selection For Improved Efficiency And Profitability In Beef Cattle, David Kelly
Theses
Despite the importance of feed intake and efficiency in beef production, there are still gaps in our knowledge on optimal production efficiency traits and breeding strategies for improved feed, production and economic efficiency. The objectives of this thesis were to redefine production efficiency in growing cattle by exploiting carcass information and to validate current beef breeding goals for improving efficiency, and to investigate the relationships of feeding behaviour with performance, feed efficiency, and carcass merit. Feed intake and liveweight data were available on up to 6,088 cattle, of which 3,146 had carcass data, 4,672 had ultrasound data and 1,548 had …
The Golden Age Of The Economics Of Bureaucracy, Chang-Yeh (Michael) Wu
The Golden Age Of The Economics Of Bureaucracy, Chang-Yeh (Michael) Wu
Theses
The economics of bureaucracy (EOB) is a field of research that emerged from the public choice movement in the mid-1960s through to the early 1970s. It entailed applying traditional economic theories and modelling techniques to study decision-making in non-market hierarchies that are often referred to as bureaucracies. The field was pioneered and codified by Gordon Tullock, Anthony Downs, and William Niskanen in what may be called the ‘golden age’ of EOB. Establishing EOB as a bona fide research domain was a challenging intellectual enterprise due to the absence of a pre-existing conceptual framework to readily model bureaucracies within the economics …
What Does It Mean To Be An Assistant Principal In Catholic Primary Schools In Western Australia? An Exploratory Instrumental Case Study, Lisa Gallin
Theses
This research aimed to explore the role of assistant principal in Catholic primary schools in Western Australia and is the first empirical study of assistant principals in this context. This research was predominantly qualitative and used interpretivism, specifically symbolic interactionism, as its theoretical perspective. An exploratory instrumental case study methodology was used to gain an in-depth understanding of the viewpoints of assistant principals regarding their role. Data collection methods included an online survey and semi-structured interviews as the primary sources, with a document search and researcher field notes adding further information. Miles et al.’s (2020) interactive data management and analysis …
A Modified Model For The Long-Term Prediction Of Tropospheric Scintillation From Coarse-Resolution Atmospheric Data, James L. Suggs Jr.
A Modified Model For The Long-Term Prediction Of Tropospheric Scintillation From Coarse-Resolution Atmospheric Data, James L. Suggs Jr.
Theses
It has been well established that scintillation, or random fades and enhancements of a propagating wave due to turbulence-induced fluctuations of the refractive index, can have deleterious effects on radar and satellite communications systems, especially for frequencies above 10 GHz (3 cm). Kolmogorov theory characterizes turbulence along a given propagation path in terms of the refractive index structure parameter C(superscript 2)(subscript n) . Tropospheric scintillation models are typically driven by C(superscript 2)(subscript n)(z) profiles developed from atmospheric measurements/predictions of pressure, temperature, relative humidity, and wind speed/direction along a given propagation path. In this work, high-resolution distributions of outer-scale, wind shear, …
Math Anxiety And Performance Following Observational Learning And Performance Pressure, Michael G. Duthie
Math Anxiety And Performance Following Observational Learning And Performance Pressure, Michael G. Duthie
Theses
Past research demonstrated that a variety of factors contribute to the severity of math anxiety and its detriments on math performance. The present study examined the influence of performance pressure, sex, second-hand success or failure of a male or female, and problem difficulty on math anxiety and performance. The design included a 2 (Participant sex: male, female) x 2 (Student actor sex: male, female) x 2 (Video outcome: success, failure) x 2 (Problem difficulty: easy, difficult) x 2 (Pressure: low, high) mixed design. Participants (UAH students, n = 232) were recruited from introductory psychology courses and completed the study via …
Excitation Of The Dominant Transverse Electric Mode Of A Microstrip Patch Antenna Using A Coplanar L-Strip Feeding Technique, Matthew A. Adams
Excitation Of The Dominant Transverse Electric Mode Of A Microstrip Patch Antenna Using A Coplanar L-Strip Feeding Technique, Matthew A. Adams
Theses
Microstrip patch antennas are employed in a variety of commercial and military applications due to their versatility, low profile, and ability to be easily fabricated. In this thesis, a microstrip patch antenna is made from artificial magnetic conductor (AMC) unit cells that excite the dominant transverse electric (TE) mode via an L-strip coplanar with the AMC patch layer. Integration of the L-strip into the unit cell layer of the AMC patch and the ground layer of the AMC patch is investigated and full-wave analyzed. To improve gain radiation pattern symmetry about the broadside direction, the AMC patch is shifted laterally …
Applying Data Science And Machine Learning Techniques For Hydrological Applications : Case Study In Cambodia, Biplov Bhandari
Applying Data Science And Machine Learning Techniques For Hydrological Applications : Case Study In Cambodia, Biplov Bhandari
Theses
Cambodia suffers from flooding and flash-flooding events every year, and thus better flood management and forecasting are crucial in taking early action. The Streamflow Prediction Tool (SPT) provides forecast discharge 15 days in advance globally. This thesis applies data-driven and Machine Learning (ML) techniques to improve Cambodia’s hydrological applications. Two case studies are presented – the first predicts the river discharge from the water level using time-series information; the second uses the predicted discharge from the first to bias-correct the SPT’s historical reanalysis data using several ML techniques. The historical Bias Correction (BC) is the first step toward the forecasted …
The Role Of Experts In Policymaking: An Assessment Of Witness Educational Backgrounds In Congressional Testimony, Benedicte Adair
The Role Of Experts In Policymaking: An Assessment Of Witness Educational Backgrounds In Congressional Testimony, Benedicte Adair
Theses
This thesis provides a first-of-its kind benchmark on the extent to which academically-trained professionals in the United States are availed of opportunities to directly deliver evidence to the United States Congress, as well as how contemporary party politics shapes this system. We randomly sample and manually code the educational backgrounds of 2,147 witnesses from 32 Congressional Committee Hearings that occurred between 2001 and 2020. This study reveals three key findings. The first is that academically-trained professionals have extensive access to the halls of Congress. Second, that all types of degrees have at least some representation amongst witness calls. The third …
Itraconazole Nanocomposites Prepared Via Rotary Evaporator Drying Of Nanomilled Suspensions, Alexander Santos Coelho
Itraconazole Nanocomposites Prepared Via Rotary Evaporator Drying Of Nanomilled Suspensions, Alexander Santos Coelho
Theses
The aim of this study is to explore the feasibility of rotary evaporation for drying wetmilled drug suspensions as a novel approach to produce drug nanocomposites that exhibit fast redispersion and immediate drug release. To this end, the physical stability of the nanomilled itraconazole (drug) suspensions, a.k.a., nanosuspensions, during the milling and storage; the drying of the itraconazole nanosuspensions via the rotary evaporator; and the type/loading of various polymers/surfactants (dispersants) on aqueous redispersion and drug release from the nanocomposites were examined. Our results suggest that smaller drug particle size, owing to nanomilling, and smaller nanocomposite particle size, owing to optimized …
Energy Consumption Forecasting Using Machine Learning, Mahdi Mohammadigohari
Energy Consumption Forecasting Using Machine Learning, Mahdi Mohammadigohari
Theses
Forecasting electricity demand and consumption accurately is critical to the optimal and costeffective operation system, providing a competitive advantage to companies. In working with seasonal data and external variables, the traditional time-series forecasting methods cannot be applied to electricity consumption data. In energy planning for a generating company, accurate power forecasting for the electrical consumption prediction, as a technique, to understand and predict the market electricity demand is of paramount importance. Their power production can be adjusted accordingly in a deregulated market. As data type is seasonal, Persistence Models (Naïve Models), Seasonal AutoRegressive Integrated Moving Averages with eXogenous regressors (SARIMAX), …
Marketing Automation Customers Segmentation, Hamad Murad
Marketing Automation Customers Segmentation, Hamad Murad
Theses
Understanding the various facets of a customer’s data is very important for businesses. This insight can help them identify patterns and opportunities to improve their operations. RFM values are often used to identify which customers are valuable for a company. They are then used to identify which promotional activities are most appropriate for them. K-means clustering is an unsupervised learning technique that works when you have unlabeled data. It allows the identification of new data points and groups. This paper proposes a novel approach that combines data cleaning and analyzing customer data to divide a broad market into various consumer …
Correlating Sentiment In Reddit’S Wallstreetbets With The Stock Market Using Machine Learning Techniques, Sultan Ali Alzaabi
Correlating Sentiment In Reddit’S Wallstreetbets With The Stock Market Using Machine Learning Techniques, Sultan Ali Alzaabi
Theses
The issue that this study addresses is to observe whether there exists a statistical relation between the stock market and Reddit’s wallstreetbets. Previous research mainly focused on the relation between the stock market and Twitter. To gather data for the study, comments were scrapped from the subreddit wallstreetbets for a period of four months, Jan 1, 2021, till April 30, 2021. Different sentiment classifiers were, then, applied on a sample of the data to observe the most accurate classifier for the study. The study concluded that the most accurate sentiment classifier was an SVM classifier trained on 80% of Reddit …
Analyzing The Arguments And Opinions Surrounding Space Privatization, Henry Yaeger
Analyzing The Arguments And Opinions Surrounding Space Privatization, Henry Yaeger
Theses
As space exploration technology advances and more private actors engage in independent space activities, national governments and international organizations need to reform and modernize their approach to regulating private space activities in order to better capture and distribute the benefits of those activities. This paper examines several disparate suggestions and ideas found in 38 articles ranging from current space policy literate to international treaties in order to generate four possible policy approaches to private space activities: the Status Quo, Self-Regulation, New International Treaties and Expanded Public-Private Partnership models. It then compares and contrasts these four alternatives to determine which can …
Temporal Requirements For Future Landsat Systems For Agricultural Monitoring, Emily Myers
Temporal Requirements For Future Landsat Systems For Agricultural Monitoring, Emily Myers
Theses
Agricultural monitoring is an important application of earth-observing satellite systems, which may be used for stress and disease detection, growth stage monitoring, and yield prediction in crops at a fraction of the time and cost it would take to survey fields manually. Satellites within the Landsat program are frequently used for agricultural monitoring, but they do not always collect imagery often enough to capture rapid changes in vegetation health. To address this limitation, an increase in revisit rate is being considered for future Landsat systems. This research aims to determine the necessary overpass frequency for a future Landsat sensor for …
Ivalet – A Smart Parking Reservation System, Aaesha Alrefaei
Ivalet – A Smart Parking Reservation System, Aaesha Alrefaei
Theses
In the current time with the continuously increasing population in the world generally and in big cities like Dubai particularly, many problems arise related to traffic and transportation. Due to covid-19 virus spread pandemic, WHO is submitting different regulations and recommendation for the need of social distancing along with avoiding any activities that might increase the possibility of the virus spread and minimize the number of infected people to save more lives. The need for decreasing the usage of the public transportation in Dubai have created parking issues in the city, streets, and buildings. One of the preferred solutions by …
Pranayama Breathing Detection With Deep Learning, Bikash Shrestha
Pranayama Breathing Detection With Deep Learning, Bikash Shrestha
Theses
Yoga, a complementary health approach, according to a 2017 National Health Interview Survey by the Center for Disease Control and Prevention (CDC), is a choice of around 14.3% adults in the US. Kapalbhati pranayama, a yoga practice of alternating fast exhales and longer passive inhales, is understood to improve our health. Incorrect and irregular practices, however, can cause injuries and adverse effects. To avoid these undesired effects, it is essential to maintain a pace fit for the practitioner. In the absence of any tools to observe a pace of practice, this work develops a deep learning method that listens to …
Qualitative Research On Pant Fit: To Improve Plus-Size Fit In The Plus-Size Market, Lenora Brown
Qualitative Research On Pant Fit: To Improve Plus-Size Fit In The Plus-Size Market, Lenora Brown
Theses
This study explored the plussize apparel fit and the satisfaction of the plussize women in the United States. According to researchers, there is a well-known gap for apparel grading when it comes to plus-size apparel. This study took a qualitative approach and used structured interviews and surveys with twenty plus-size women size 16 through 22 and ages ranging from 22 through 50 in the Midwest area. The results of the interviews and the survey indicate the plus-size woman is unsatisfied with the fit of their clothing, more specifically the fit of their pants. The results indicate there are many variants …
Two-Way Load Flow Analysis Using Newton-Raphson And Neural Network Methods, Aya Emad Omar Al Shaltouni
Two-Way Load Flow Analysis Using Newton-Raphson And Neural Network Methods, Aya Emad Omar Al Shaltouni
Theses
This research presents a study of the optimal power flow for networked microgrids with multiple renewable energy sources (PV panels and wind turbines), storage systems, generators, and load. The OPF problem is performed using a conventional method and an Artificial Intelligence method. In this research, we investigated the performance of MGs system with renewable energy integration with focus on power flow studies. The calculation of the power flow is based on the well-known Newton-Raphson method and Neural Network method. The power flow calculation aims to evaluate the grid performance parameters such as voltage bus magnitude, angle, real and reactive power …
Minimization Of The Weld Distortion By Weld Sequence Optimization Using Artificial Intelligence, Jeyaganesh Devaraj
Minimization Of The Weld Distortion By Weld Sequence Optimization Using Artificial Intelligence, Jeyaganesh Devaraj
Theses
The application of dissimilar metal welding processes is increasing nowadays in the automobile, aerospace, marine industry as they not only serve for joint welding for different metals but also assist in repairing and reworking in a simplified manner. Study on optimization of weld parameter to weld a structure is important to have control over the distortion, mass deposition, tensile strength, etc. The present research reports the development and implementation of the Genetic algorithm integrated Artificial Neural Network (GANN) based weld sequence optimization for reducing deformation of dissimilar metal joining using the hot-encode technique. Gas Metal Arc Welding (GMAW) is used …
Towards Automation Of Aluminum Cell Ramming Process, Maryam Salem Abdelfattah Mohamed Alkaabi
Towards Automation Of Aluminum Cell Ramming Process, Maryam Salem Abdelfattah Mohamed Alkaabi
Theses
Newly installed cathode blocks in an aluminium reduction cell, expand due to a rapid increase of temperature when passing a high current at the start-up of the cell. High thermal stresses may result if cathode blocks are lined without gaps, and this can lead to cracking of the cathodes and failure of the cell. On the other hand, leaving gaps would cause failure due to molten metal infiltration in the gaps. To overcome these problems carbon-based ramming material is used to fill these gaps. Currently ‘Filling’ is carried out manually or partially automated, but this needs to be fully automated …
The Impact Of Wastewater Chemistry And Flow Characteristics On Hydrogen Sulfide Concentration, Mohsina Muhammed Sherief
The Impact Of Wastewater Chemistry And Flow Characteristics On Hydrogen Sulfide Concentration, Mohsina Muhammed Sherief
Theses
Hydrogen sulfide (H2S) is a naturally occurring, highly toxic gas that is formed from the decomposition of sulfur compounds. At low concentrations, H2S is an irritant for the eyes, respiratory and gastrointestinal tract. At higher H2S concentrations, it produces neurological impairment with dizziness, headache, and loss of consciousness. Mortality was reported to reach 6 percent following exposure to elevated concentrations. H2S is generated in different industrial processes. In wastewater collection and treatment plants, H2S is a common source of concrete and metal corrosion that has resulted in huge economic loss. …
Split-Horizon Dual-Stage Dispatch Scheme For A Standalone Microgrid, Aslam Amir
Split-Horizon Dual-Stage Dispatch Scheme For A Standalone Microgrid, Aslam Amir
Theses
The advent of microgrids has prompted plenty of studies into its design, control, protection, and implementation, with several operational as well as pilot systems being commissioned worldwide. This necessitates the development of hardware and software for the Energy Management System, the supervisory controller in a microgrid. Hence, this thesis provides a novel dual-stage dispatch scheme for the Energy Management System of a Standalone microgrid by “splitting” the dispatch time horizon into four equal quarters to facilitate better usage of power forecast accuracies. The two stages include Unit Commitment/Scheduling and Economic Dispatch for the dispatchable Distributed Energy Resources based on renewable …
Flow Of Quantum Genetic Lotka-Volterra Algebras On M2(ℂ), Sondos Muhammed Syam
Flow Of Quantum Genetic Lotka-Volterra Algebras On M2(ℂ), Sondos Muhammed Syam
Theses
In this thesis, a class of flow quantum Lotka-Volterra genetic algebras (FQLVG-A) is investigated and its structure is studied. Moreover, the necessary and sufficient conditions for the associativity and alternatively of FQGLV-A are derived. In addition, idempotent elements in FQGLV-A are found. Also, derivations of a class of FQLVG-A are described. Also, the automorphisms of a class of FQLVG-A and their positivity are examined.
Voltage And Frequency Control In Ac Islanded Microgrid, Hamad Mohammad Al Sharif
Voltage And Frequency Control In Ac Islanded Microgrid, Hamad Mohammad Al Sharif
Theses
Microgrids are described as linking many power sources (renewable energy and traditional sources) to meet the load consumption in real-time. Because renewable energy sources are intermittent, battery storage systems are required, typically used as a backup system. An energy management strategy (EMS) is required to govern power flows across the entire microgrid. In recent research, various methods have been proposed for controlling the micro-grids, especially voltage and frequency control. This study introduces a microgrid system, an overview of local control in the microgrid, and an efficient EMS for effective microgrid operations using three smart controllers for optimal microgrid stability. We …
Neural Network Models For Tcp - Syn Flood Denial Of Service Attack Detection With Source And Destination Anonymization, Sahil Anande
Neural Network Models For Tcp - Syn Flood Denial Of Service Attack Detection With Source And Destination Anonymization, Sahil Anande
Theses
The Internet has become a necessity in today's digital world, and making it secure is a pressing concern. Hackers are investing ever-increasing efforts to compromise Internet nodes with novel techniques. According to Forbes, every minute, $ 2,900,000 is lost to cybercrime. A common cyber-attack is Denial of Service (DoS) or Distributed Denial of Service (DDoS) attacks, which may bring a network to a standstill, and unless mitigated, network services could be halted for an extended period. The attack can occur at any layer of the OSI model. This thesis focuses on SYN Flood DoS/DDoS attacks, also known as TCP Flood …
Continuous Variable Quantum Compilation Analysis, Federico Rueda
Continuous Variable Quantum Compilation Analysis, Federico Rueda
Theses
Over the last few years quantum computers have rose to prominence as a solution for increasing computing power and tackling problems intractable by classical computers. Classical computers have struggled to meet the ever-increasing demand for data processing and modeling. Thus, quantum computers would meet the demand for heavy computing tasks that classical computers could never achieve. Today there exist two promising quantum technologies that have the potential to prove quantum supremacy in the near future: super-conducting qubits and Continuous Variable (CV) model. Out of the two, superconducting qubits have been at the forefront of quantum computing research. NISQ (Noise intermediate-scale …
Futuristic Smart Solutions For People Of Determination In Schools And Universities, Luloa Alsayah, Shaikha Abdulrahman, Sanaa Enkeleya
Futuristic Smart Solutions For People Of Determination In Schools And Universities, Luloa Alsayah, Shaikha Abdulrahman, Sanaa Enkeleya
Theses
In this project, future smart solutions for people of determination in schools and universities were discussed. The background was presented on the topic, as the issue of integrating people of determination in schools and then integrating them into society still takes a wide range of societal, family, and institutional attention, and it undoubtedly deserves much attention that befits this dear group in our society. The literature has shown the existence of previous studies and applications similar to those proposed in the project, which sought within the framework of this advanced vision to enable "people of determination" to provide quality services …
Predicting Risk Of Readmission In Heart Failure Patients Using Electronic Health Records, Pradumna Suryawanshi
Predicting Risk Of Readmission In Heart Failure Patients Using Electronic Health Records, Pradumna Suryawanshi
Theses
This thesis research investigates the prediction of readmission risk in heart failure patients using their electronic health record (EHR) data from previous hospitalizations. We examine three primary questions. First, we study the use of attention mechanism in readmission prediction model based on long short-term memory(LSTM) networks and investigate the interpretability it offers regarding the importance of critical time during the visit in readmission prediction. Second given that, generally dataset is curated by combining data from multiple hospitals we investigate model generalization across multiple sites. Finally since in real life scenario model will be trained on past data and used to …
A Deep Learning Classifier For Detecting Atrial Fibrillation In Hospital Settings Applicable To Various Sensing Modalities, Kamil Bukum
Theses
Cardiac signals provide variety of information related to the patient's health. One of the most important is for medical experts to diagnose the functionality of a patient’s heart. This information helps the medical experts monitor heart disease such as atrial fibrillation and heart failure. Atrial fibrillation (AF) is one of the most major diseases that are threatening patients’ health. Medical experts measure cardiac signals usng the Electrocardiogram (ECG or EKG), the Photoplethysmogram (PPG), and more recently the Videoplethysmogram (VPG). Then they can use these measurements to analyze the heart functionality to detect heart diseases. In this study, these three major …