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2025

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Machine Learning For Automated Classification Of Tree Species Based On Color-Texture Fusion, Brandon C. Jones Jan 2025

Machine Learning For Automated Classification Of Tree Species Based On Color-Texture Fusion, Brandon C. Jones

College of Graduate Studies: Theses & Dissertations

This study aimed to develop robust machine learning tools for the classification of southeastern United States tree species based on bark images, addressing challenges posed by significant intraspecies variation in bark texture and color. The primary objectives included constructing specialized machine learning libraries and classification models, identifying optimal algorithms and parameters to maximize accuracy, and integrating the best-performing texture and color classifiers into a unified system to enhance the overall classification performance. The methodology involved collecting a dataset of 360 field images, extracting hue and saturation histograms for color features, and employing Histogram of Gradients (HOG) and Histogram of Binary …

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An Investigative Study Of Thermal Fluid Properties When Introducing Metallic Nanoparticles Through A Heat Exchanging System, Levi P. Mckinney Jan 2025

An Investigative Study Of Thermal Fluid Properties When Introducing Metallic Nanoparticles Through A Heat Exchanging System, Levi P. Mckinney

College of Graduate Studies: Theses & Dissertations

Heat-exchanging systems are essential in applications ranging from automobiles to air-conditioning units, and ongoing improvements aim to enhance efficiency while reducing system size. Conventional coolant upgrades often rely on ethylene glycol, which increases thermal stability and lowers freezing point but reduces water’s inherent heat-transfer capability. Advances in nanotechnology provide an alternative approach: suspending nanoparticles in base fluids can significantly modify thermal properties, with some formulations exhibiting conductivity increases of up to 60%. This thesis examines the thermal and tribological performance of three working fluids—distilled water, a 50:50 water–ethylene glycol mixture, and the same mixture enhanced with Al₂O₃ nanoparticles. Distilled water …

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Beyond The Possible: Climate Justice, Global Citizenship, And Classrooms – Speculative Essays, Amanda C. Fanelli Jan 2025

Beyond The Possible: Climate Justice, Global Citizenship, And Classrooms – Speculative Essays, Amanda C. Fanelli

College of Graduate Studies: Theses & Dissertations

This dissertation examines the potential of speculative essays as pedagogical tools to inspire K-12 educators to integrate climate justice education within their classrooms, utilizing the framework of Global Citizenship Education (GCE). While climate change is often presented in schools as a scientific or technical issue, the literature on environmental justice demonstrates that climate change is inextricably linked to systemic inequities rooted in race, gender, colonialism, and economic oppression (Bullard, 2000; Shiva, 1988; Whyte, 2017). Yet educators frequently lack accessible, integrative frameworks for addressing these intersections in their teaching without overhauling existing curricula. This study addresses that gap by triangulating ecopedagogy, …

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Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast, Emmanuella Bosompemaa Obeng Jan 2025

Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast, Emmanuella Bosompemaa Obeng

College of Graduate Studies: Theses & Dissertations

Salt marshes, essential for coastal protection and carbon sequestration, are increasingly vulnerable to dieback events, threatening ecosystem resilience and vital services. Detecting these shifts early is essential for timely intervention. However, few studies have applied Early Warning Signals (EWS) to coastal marsh systems. Most EWS research has focused on lakes, forests, or climate tipping points, with limited application to salt marsh dieback in the southeastern U.S. Site-specific, long-term spatial analyses are also lacking, as prior work often examines short time frames or single disturbance events. This study investigates the spatiotemporal patterns of salt marsh dieback on the Georgia coast from …

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Synthesis And Assessment Of Biobased Acrylated Epoxidized Soybean Oil Resins For Stereolithography 3d Printing Of Microfluidic Devices, Natalie S. Romero Figueroa Jan 2025

Synthesis And Assessment Of Biobased Acrylated Epoxidized Soybean Oil Resins For Stereolithography 3d Printing Of Microfluidic Devices, Natalie S. Romero Figueroa

College of Graduate Studies: Theses & Dissertations

This research focuses on the development and characterization of a biobased photocurable resin synthesized from soybean oil for use in stereolithography (SLA) 3D printing of microfluidic devices. The study explores a sustainable alternative to petroleum-based resins by performing an acrylation reaction on epoxidized soybean oil (ESO) to produce acrylated epoxidized soybean oil (AESO), which was then formulated into a photocurable resin with the addition of a photo initiator. The fabrication process involved designing microfluidic molds in SolidWorks and printing them using an Elegoo Mars 4 SLA printer under various exposure and layer thickness parameters. The printed samples consisted of microchannels …

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Science, Students, And Self: An Autoethnography Of One Middle School Science Teacher’S Experiences And Challenges With Implementing Culturally Relevant Pedagogy, Alexandra Dalton Jan 2025

Science, Students, And Self: An Autoethnography Of One Middle School Science Teacher’S Experiences And Challenges With Implementing Culturally Relevant Pedagogy, Alexandra Dalton

College of Graduate Studies: Theses & Dissertations

This dissertation is an autoethnographic inquiry into how the implementation of culturally relevant pedagogy into the middle school classroom is filled with challenges and wins. In this dissertation I explore how implementing culturally relevant pedagogy helped me connect more with my students which in turn increased their academic success, cultural competence, and critical consciousness. I was able to accomplish this by using the research within my own classroom and reflecting on how my students reacted to the changes in my pedagogy. Using the methodology of autoethnography, I was able to incorporate my own personal experiences as research. I also include …

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Improved Optimal Tracking Of Uncertain Nonlinear Discrete-Time Systems Using Experience Replay, Maxwell Geiger, Sarangapani Jagannathan Jan 2025

Improved Optimal Tracking Of Uncertain Nonlinear Discrete-Time Systems Using Experience Replay, Maxwell Geiger, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper addresses the infinite horizon optimal tracking control problem for partially uncertain control-affine nonlinear discrete-time (DT) systems, where the control input dynamics are known. Multi-layer critic and actor neural networks (MNNs) are utilized for online estimation of the infinite horizon value function and optimal control input. The NN weights are tuned online using a direct temporal difference error (TDE)-driven learning approach, which modifies the singular values of the gradient with respect to the NN weights to accelerate their convergence. The critic NN uses a novel experience replay technique to improve sample efficiency without introducing biased TDEs and guarantee the …

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Deep Learning For Uav Classification: Impact Of Noise And Multipath Fading In Rf Signals, Prajoy Podder, Maciej Jan Zawodniok, Sanjay Kumar Madria Jan 2025

Deep Learning For Uav Classification: Impact Of Noise And Multipath Fading In Rf Signals, Prajoy Podder, Maciej Jan Zawodniok, Sanjay Kumar Madria

Electrical and Computer Engineering Faculty Research & Creative Works

The increasing presence of unmanned aerial vehicles (UAVs) raises serious security concerns, particularly regarding unauthorized drone operations. Recent U.S. security statistics report a sharp rise in unauthorized UAV activities, with the Federal Aviation Administration (FAA) receiving over 100 monthly reports of illegal drone operations near airports. In 2024 alone, Dedrone records 1.19 million unauthorized drone flights across major U.S. cities, highlighting the need for robust UAV detection and classification systems. In this work, a lightweight Convolutional Neural Network (CNN) model is proposed for RF-based UAV classification under noisy and multipath fading conditions. The proposed CNN consists of multiple convolutional blocks, …

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Active Microwave-Thermographic Signal Reconstruction, Logan M. Wilcox, Emma T. Bohannon, Kristen M. Donnell Jan 2025

Active Microwave-Thermographic Signal Reconstruction, Logan M. Wilcox, Emma T. Bohannon, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a coupled electromagnetic (EM) and thermographic nondestructive testing and evaluation (NDT&E) technique. AMT utilizes a radiating EM source (e.g., an antenna) that induces dielectric/magnetic heating on a specimen under test (SUT) which is subsequently spatiotemporally imaged with an infrared (IR) camera. As all antennas have spatial variation in their radiated power density, a nonuniform thermal excitation results within (or on the surface of) the SUT. This nonuniform heating causes uncertainty in defect detection and has the potential to lead to false positives and/or negatives. To this end, thermographic signal reconstruction (TSR), a well-established thermographic signal …

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Dual Parameter Fss-Based Sensing For Structural Health Monitoring Applications, Swathi Muthyala Ramesh, Doyle T. Motes, Kristen M. Donnell Jan 2025

Dual Parameter Fss-Based Sensing For Structural Health Monitoring Applications, Swathi Muthyala Ramesh, Doyle T. Motes, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

frequency selective surfaces (FSSs) are periodic arrays of conductive elements or apertures that reflect and/or transmit incident electromagnetic energy. Their response depends on parameters, such as element shape, unit cell dimensions, dielectric properties, and the local environment, making them suitable for structural health monitoring (SHM) applications. This article presents a dual-parameter FSS-based sensor design capable of measuring small-scale uni-directional longitudinal strain (0%–0.5%) and temperature (23 ◦C–223 ◦C). The sensor integrates two-unit cells: 1) a patch-based cell on a thin substrate for strain sensing, offering enhanced strain transfer and superior sensitivity (~16–18 MHz/0.1%) and 2) a loop-based cell with a temperature-sensitive …

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Analytical Model Of The Ac-Ac Dab Converter In The Egam Framework, Arnold A. Fernandes, Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball Jan 2025

Analytical Model Of The Ac-Ac Dab Converter In The Egam Framework, Arnold A. Fernandes, Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

This paper develops an analytical model of the bidirectional AC-AC Dual Active Bridge (DAB) converter. The passive components of the AC-AC DAB are subject to grid, switching, and sideband harmonics. Thus, it is impossible to model via the conventional Generalized Average Method (GAM). It has been numerically shown that Extended GAM (EGAM) can be used to model the AC-AC DAB converter. In this paper, an analytical sixteenth order EGAM-model has been developed that considers only grid harmonics at the filter components and only sideband harmonics for the transformer leakage inductor. A closed-form expression is developed for the 2D convolution product. …

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Active Microwave-Thermographic Signal Reconstruction With Adaptive Polynomial Regression, Logan M. Wilcox, Alexander Hook, Emma T. Bohannon, Kristen M. Donnell Jan 2025

Active Microwave-Thermographic Signal Reconstruction With Adaptive Polynomial Regression, Logan M. Wilcox, Alexander Hook, Emma T. Bohannon, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a coupled electromagnetic (EM) and thermographic nondestructive testing and evaluation (NDT&E) technique. AMT utilizes a radiating EM source (e.g., an antenna) that induces dielectric/magnetic heating on a specimen under test (SUT). The inspection surface of the SUT is imaged with an infrared (IR) camera over the inspection time. As the thermal excitation originates from a spatially varying radiated power density, a nonuniform thermal excitation results within (or on the surface of) the SUT that is directly related to this power density. This nonuniform heating causes uncertainty in defect detection and has the potential to lead …

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Enhancing Fiber Optic Interferometric Sensing With Microwave Photonics-Based Dispersion Fourier Transform And Integrated Magnitude–Phase Analysis, Chen Zhu, Ruimin Jie, Chenxi Huang, Jie Huang Jan 2025

Enhancing Fiber Optic Interferometric Sensing With Microwave Photonics-Based Dispersion Fourier Transform And Integrated Magnitude–Phase Analysis, Chen Zhu, Ruimin Jie, Chenxi Huang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Fiber optic inline interferometers are widely used for high-precision sensing due to their sensitivity, compactness, and immunity to electromagnetic interference. Traditional optical spectral analysis methods suffer from limited dynamic range due to free spectral range (FSR) constraints, while microwave photonic filtering (MPF) techniques based on dispersion Fourier transform (DFT) provide an alternative by mapping optical signals into the radio frequency (RF) domain. However, conventional passband frequency tracking in MPF systems has limited sensitivity, and the recently demonstrated phase-based methods, though highly sensitive, are constrained by phase wrapping beyond 2π. In this work, we propose and experimentally demonstrate an integrated magnitude–phase …

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A Cost-Effective Nilm Solution With Three-Point Labelling And Non-Causal Convolution Technique, Yanan Zhang, Gan Zhou, Yanjun Feng, Zhan Liu, Li Huang, Zhi Li, Rui Bo Jan 2025

A Cost-Effective Nilm Solution With Three-Point Labelling And Non-Causal Convolution Technique, Yanan Zhang, Gan Zhou, Yanjun Feng, Zhan Liu, Li Huang, Zhi Li, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Although deep learning is increasingly promising in the field of Non-Intrusive Load Monitoring (NILM) these days, the high costs of data recording and labelling represent a significant challenge for the training of supervised models. To address this, a cost-effective sequence-to-points NILM solution is proposed, integrating three-point labelling with non-causal convolution techniques. The approach introduces a semi-automatic labelling framework for obtaining NILM three-point data, which provides a low-cost data collection and labelling solution for large-scale applications. Then, a novel loss function combining coordinate loss and confidence loss is developed to address the positional misalignment and negative sample confusion in sequence-to-points scenario …

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A Hybrid Method For Source Direction Finding With Radio Frequency Interference And Gaussian White Noise, Yanming Zhang, Wenchao Xu, Antonios Argyriou, A. Long Jin, Tianquan Tang, Peifeng Ma, Lijun Jiang, Steven Gao Jan 2025

A Hybrid Method For Source Direction Finding With Radio Frequency Interference And Gaussian White Noise, Yanming Zhang, Wenchao Xu, Antonios Argyriou, A. Long Jin, Tianquan Tang, Peifeng Ma, Lijun Jiang, Steven Gao

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a hybrid data-driven method, termed moving average-Hankel-dynamic mode decomposition (MAHankDMD), for joint direction of arrival (DOA) and frequency estimation in environments affected by both radio frequency interference (RFI) and Gaussian white noise. The proposed approach integrates two key components: (1) a moving average-DMD filter that effectively mitigates Gaussian white noise and separates RFI from the source signal, and (2) a Hankel-DMD method that accurately estimates the DOA of the filtered signal and associates it with the corresponding frequency. The moving average-DMD stage first enhances the signal-to-noise ratio and improves the robustness of the estimation process through noise …

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Pfedrag: A Personalized Federated Retrieval-Augmented Generation System With Depth-Adaptive Tiered Embedding Tuning, Hangyu He, Xin Yuan, Kai Wu, Ren Ping Liu, Wei Ni Jan 2025

Pfedrag: A Personalized Federated Retrieval-Augmented Generation System With Depth-Adaptive Tiered Embedding Tuning, Hangyu He, Xin Yuan, Kai Wu, Ren Ping Liu, Wei Ni

Research outputs 2022 to 2026

Large Language Models (LLMs) can undergo hallucinations in specialized domains, and standard Retrieval-Augmented Generation (RAG) often falters due to general-purpose embeddings ill-suited for domain-specific terminology. Though domain-specific fine-tuning enhances retrieval, centralizing data introduces privacy risks. The use of federated learning (FL) can alleviate this to some extent, but faces challenges of data heterogeneity, poor personalization, and expensive training data generation. We propose pFedRAG, a novel Personalized Federated RAG framework, which enables efficient collaborative fine-tuning of embedding models to address these challenges. The key contribution is a new Depth-Adaptive Tiered Embedding (DATE) architecture, which comprises a Global Shared Layer, combined using …

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Effect Of 6-Week Single Leg Countermovement Jump Training On Force Time Metrics In Elite Female Youth Footballers, Jack T. Fahey, Paul Comfort, Paul Jones, Nicholas, J. Ripley Jan 2025

Effect Of 6-Week Single Leg Countermovement Jump Training On Force Time Metrics In Elite Female Youth Footballers, Jack T. Fahey, Paul Comfort, Paul Jones, Nicholas, J. Ripley

Research outputs 2022 to 2026

Female football participation has grown exponentially. Unfortunately, females exhibit greater injury risk than male athletes, and experience increased mechanical stress during adolescence. Force plates provide accurate and reliable force-time characteristics enabling profiling of injury risk and benchmarking using a variety of jump and isometric tasks. The purpose of this study was to determine whether test-retest reliability and force-time characteristics of SLCMJ, bilateral countermovement jump (CMJ), countermovement rebound jump (CMJ-R) and isometric mid-thigh pull (IMTP) change with six weeks of SLCMJ training. Twenty-eight elite youth female footballers (13.7 ± 1.1 years, 53.27 ± 8.82 kg, 162.20 ± 5.37 cm) completed six …

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Non-Stereotypy (To Species) In Mysticete Downsweeps, Paul Nguyen Hong Duc, Christine Erbe, Shyam Madhusudhana, Daniel Wilkes, Lachlan Gill, Cristina Tollefsen, Narissa De Bruin, Aiyana Erbeking, Curt Jenner, Micheline Jenner, Angela Recalde-Salas, Chandra P. Salgado Kent, Kautilya Srivastava, Chong Wei, Robert Mccauley Jan 2025

Non-Stereotypy (To Species) In Mysticete Downsweeps, Paul Nguyen Hong Duc, Christine Erbe, Shyam Madhusudhana, Daniel Wilkes, Lachlan Gill, Cristina Tollefsen, Narissa De Bruin, Aiyana Erbeking, Curt Jenner, Micheline Jenner, Angela Recalde-Salas, Chandra P. Salgado Kent, Kautilya Srivastava, Chong Wei, Robert Mccauley

Research outputs 2022 to 2026

The Australian EEZ provides habitat for ten species of mysticete whales seasonally supporting critical life functions ranging from feeding to breeding. All of these species produce downsweeping calls, which may confound passive acoustic monitoring efforts. In an attempt to optimize a detector for Eastern Indian Ocean pygmy blue whale (EIOPBW) downsweeps, we tried a spectrogram correlator based on confirmed templates and a neural network trained on general blue whale D-calls followed by clustering algorithms. Outputs were manually validated by bioacousticians. We found that downsweeps exhibit significant variability and form a graded continuum of acoustic features, as opposed to clusters. Comparative …

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Philosophers On Prison Abolitionism: Theory Versus Practice, Piero Moraro Jan 2025

Philosophers On Prison Abolitionism: Theory Versus Practice, Piero Moraro

Research outputs 2022 to 2026

Philosophers have long been debating the moral justifiability of punishment. However, they have seemingly ignored the adjacent question concerning the moral justifiability of incarceration, as demonstrated by the dearth of philosophical work on prison abolitionism. This silence is puzzling, given that, on closer examination, many philosophers implicitly (or even explicitly) endorse the core assumptions of prison abolitionism. By discussing some examples in the recent literature in philosophy of punishment, I argue that philosophers support prison abolitionism in practice, but not in theory. They endorse the practical strategies in the abolitionist agenda, yet refuse to engage with the normative assumptions that …

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Legal Research Skills: An Australian Law Guide, University Of Queensland, James Cook University, University Of Southern Queensland, Charles Darwin University, Southern Cross University, Queensland University Of Technology, Deakin University, University Of South Australia, Kate Strong, University Of Tasmania, The Australian National University Jan 2025

Legal Research Skills: An Australian Law Guide, University Of Queensland, James Cook University, University Of Southern Queensland, Charles Darwin University, Southern Cross University, Queensland University Of Technology, Deakin University, University Of South Australia, Kate Strong, University Of Tasmania, The Australian National University

Research outputs 2022 to 2026

Updated in 2025, this edition of the guide is designed to support students undertaking Australian legal studies and contribute to the development of research skills in Australian law schools. An exciting feature of this edition includes a brand new chapter on Legal Research using Generative Artificial Intelligence (Gen AI).

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Assessment Of Multilingual Children By Western Australian Speech-Language Pathologists: A Survey Of Practices, Barriers And Facilitators, Emily Frances Hunt, Charn Nang, Suzanne Jacqueline Meldrum, Elizabeth Armstrong Jan 2025

Assessment Of Multilingual Children By Western Australian Speech-Language Pathologists: A Survey Of Practices, Barriers And Facilitators, Emily Frances Hunt, Charn Nang, Suzanne Jacqueline Meldrum, Elizabeth Armstrong

Research outputs 2022 to 2026

Purpose: In the past decade, diagnostic criteria for developmental language disorder, guidelines for assessment of multilingual children, and reviews of the diagnostic utility of dynamic assessment have been published. It is unknown how Australian speech-language pathologists currently assess multilingual children or how local factors influence assessment. Method: A mixed-method anonymous online survey of Western Australian speech-language pathologists explored the frequency and perceived usefulness of assessment practices recommended for multilingual children, elements of dynamic assessment used, and the utility of specific client factors for diagnosis. Confidence ratings and descriptions of barriers and facilitators that affect assessment of multilingual children were also …

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Decolonising Outcome Measurement: A Systematic Review Of Health And Wellbeing Measures For Māori, Margaret Sandham, Maree Roche, Melissa Carey, Richard J. Siegert, Rebecca J. Jarden Jan 2025

Decolonising Outcome Measurement: A Systematic Review Of Health And Wellbeing Measures For Māori, Margaret Sandham, Maree Roche, Melissa Carey, Richard J. Siegert, Rebecca J. Jarden

Research outputs 2022 to 2026

The objective of the study is to conduct a systematic review and methodological quality appraisal on studies reporting the development of health and wellbeing outcome measures for Māori (Indigenous people of New Zealand), identify common features and processes, and critically appraise the measures using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). Key databases were searched using key terms in May 2022 without date limiters. English or Māori language publications were included if they reported Māori health and wellbeing outcome measure development. Studies were then appraised using the COSMIN. Seven publications developed outcome measures and seven reported …

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Individual Differences Provide A Nuanced Understanding Of The Contributions Of Age, Experience, And Level Played To Superior Perceptual-Cognitive-Motor Skill, Khaya Morris-Binelli, Minerva A. Westbrook, Benjamin Piggott, Sean Müller, Paola Chivers Jan 2025

Individual Differences Provide A Nuanced Understanding Of The Contributions Of Age, Experience, And Level Played To Superior Perceptual-Cognitive-Motor Skill, Khaya Morris-Binelli, Minerva A. Westbrook, Benjamin Piggott, Sean Müller, Paola Chivers

Research outputs 2022 to 2026

Theories of expertise either predict superior performance is due to monotonic and progressive exposure to a domain task or due to non-linear exposure to a domain. The aim of this study was to explore the predictions of these theories by use of an individual differences approach to investigate how age, experience, and level played within a sample of athletes with high expertise contributes to superior perceptual-cognitive-motor skill. Twenty-seven players sampled from junior rugby union high-performance pathways and professional rugby union teams in Australia completed an in-situ perceptual-cognitive-motor test involving four attackers and three defenders. Participants were presented with scenarios representative …

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Dei And Discrimination In The Marketing Industry: Exploring The Lived Experiences In The Workplace. Evidence From Western Australia, Ashlee Morgan, Melissa Fong-Emmerson, Steven D’Alessandro, Marie Ryan Jan 2025

Dei And Discrimination In The Marketing Industry: Exploring The Lived Experiences In The Workplace. Evidence From Western Australia, Ashlee Morgan, Melissa Fong-Emmerson, Steven D’Alessandro, Marie Ryan

Research outputs 2022 to 2026

This paper explores the lived experiences of individuals in the Western Australian marketing industry, focusing on diversity, equity and inclusion (DEI) within the workplace. Through a survey of 573 marketing professionals, the study gathered both qualitative and quantitative data on perceptions and attitudes towards DEI, and personal experiences of discrimination. The findings indicate strong support for DEI within the marketing workforce, with 76.6% agreeing that diversity and inclusion are important in the workplace, and 78.1% affirming that DEI should be a business priority. Yet, 25% reported personal experiences of workplace discrimination, underscoring the urgent need for organisations to listen to …

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Techno-Economic And Eco-Friendly Msw-Based Strategy To Reduce The Impact Of Rajshahi City Electric Vehicle Power Outage In Bangladesh, Shah Tanvir Alam Rimon, Md Shahriar Mohtasim, Md Golam Kibria, Mim Mashrur Ahmed, Barun K. Das Jan 2025

Techno-Economic And Eco-Friendly Msw-Based Strategy To Reduce The Impact Of Rajshahi City Electric Vehicle Power Outage In Bangladesh, Shah Tanvir Alam Rimon, Md Shahriar Mohtasim, Md Golam Kibria, Mim Mashrur Ahmed, Barun K. Das

Research outputs 2022 to 2026

Population growth, economic expansion, urbanization, and evolving consumer habits are driving a significant increase in municipal solid waste generation, placing Bangladesh under immense societal pressure to manage and dispose of this waste effectively. Numerous studies have examined municipal solid waste management practices in Bangladesh, yet the potential for utilizing the generated energy to charge electric vehicles (EVs) remains unexplored. Therefore, in this study, waste-to-energy technologies such as landfill gas recovery (LGR), incineration (INC) and anaerobic digestion (AD) were assessed for energy recovery, economic feasibility, and global warming potential in Rajshahi City Corporation, Bangladesh, to meet the extra electricity demand imposed …

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Psychology's Questionable Research Fundamentals (Qrfs): Key Problems In Quantitative Psychology And Psychological Measurement Beyond Questionable Research Practices (Qrps), Jana Uher, Jan Ketil Arnulf, Paul T. Barrett, Moritz Heene, Jörg Henrik Heine, Jack Martin, Lucas B. Mazur, Marek Mcgann, Robert J. Mislevy, Craig Speelman, Aaro Toomela, Ron Weber Jan 2025

Psychology's Questionable Research Fundamentals (Qrfs): Key Problems In Quantitative Psychology And Psychological Measurement Beyond Questionable Research Practices (Qrps), Jana Uher, Jan Ketil Arnulf, Paul T. Barrett, Moritz Heene, Jörg Henrik Heine, Jack Martin, Lucas B. Mazur, Marek Mcgann, Robert J. Mislevy, Craig Speelman, Aaro Toomela, Ron Weber

Research outputs 2022 to 2026

Psychology's crises (e.g., replicability, generalisability) are currently believed to derive from Questionable Research Practices (QRPs), thus scientific misconduct. Just improving the same practices, however, cannot tackle the root causes of psychology's problems—the Questionable Research Fundamentals (QRFs) of many of its theories, concepts, approaches and methods (e.g., psychometrics), which are grounded in their insufficiently elaborated underlying philosophies of science. Key problems of psychological measurement are critically explored from independent perspectives involving various fields of expertise and lines of research that are well established but still hardly known in mainstream psychology. This comprehensive multi-perspectival review presents diverse philosophies of science that are …

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The Impact Of Due Diligence Legislation On International Trade And Business: Analysis Of Potential Trade-Offs, Peter Draper, Andreas Freytag, Naoise Mcdonagh, Matthias Menter Jan 2025

The Impact Of Due Diligence Legislation On International Trade And Business: Analysis Of Potential Trade-Offs, Peter Draper, Andreas Freytag, Naoise Mcdonagh, Matthias Menter

Research outputs 2022 to 2026

As countries increasingly adopt due diligence legislation to promote human rights, labor standards, and environmental sustainability in global value chains, a complex dilemma arises. While these laws commendably aim to address moral and political issues in international trade, they may also impose significant costs on companies, potentially disincentivizing investment and trade. This study examines the impact of due diligence laws on international trade and business, analyzing some 60 cases. We explore their unintended consequences, including the potential withdrawal of investors from partner countries, reduced trade, including strategic commodities, and increased costs of compliance leading to competitiveness concerns. Our research categorizes …

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The Missing Link In Urban Tourism: Connecting Leisure, Accessibility And Resident Participation For Enhanced Value, Juliana Juliana, Amelda Pramezwary, Arifin Djakasaputra, Moh Muhlis Anwar, Ferry Jie Jan 2025

The Missing Link In Urban Tourism: Connecting Leisure, Accessibility And Resident Participation For Enhanced Value, Juliana Juliana, Amelda Pramezwary, Arifin Djakasaputra, Moh Muhlis Anwar, Ferry Jie

Research outputs 2022 to 2026

This study aims to explore the interrelationships between urban leisure opportunities, accessibility of cultural resources, residents’ active engagement in urban tourism and their perceptions of tourism value. By examining these dynamics, the study seeks to provide insights into fostering sustainable urban tourism that benefits both residents and visitors. A quantitative research design was employed, utilizing a structured survey distributed to urban residents. Partial least squares-structural equation modeling (PLS-SEM) was used to analyze the relationships among variables, supported by reliability and validity tests. Bootstrapping techniques further assessed the robustness of the hypotheses. The results indicate significant positive relationships among the studied …

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Validation Status Of Digital Blood Pressure Monitors In Peru: A Comprehensive Assessment With A Validation-Process Algorithm Proposal, Fabian A. Chavez-Ecos, Sandra S. Chavez-Malpartida, Alexander M. Parra-Huaroto, Rodrigo Chavez-Ecos, Kiara Camacho-Caballero, Marcelo Chavez-Ecos, Miguel A. Chavez-Gutarra, Henry Anchante-Hernandez, Carlos J. Toro-Huamanchumo Jan 2025

Validation Status Of Digital Blood Pressure Monitors In Peru: A Comprehensive Assessment With A Validation-Process Algorithm Proposal, Fabian A. Chavez-Ecos, Sandra S. Chavez-Malpartida, Alexander M. Parra-Huaroto, Rodrigo Chavez-Ecos, Kiara Camacho-Caballero, Marcelo Chavez-Ecos, Miguel A. Chavez-Gutarra, Henry Anchante-Hernandez, Carlos J. Toro-Huamanchumo

Research outputs 2022 to 2026

Background In Latin America and the Caribbean (LAC), hypertension is the leading cause of death and disability. Accurate diagnosis requires validated blood pressure measurement devices (BPMD). This study aimed to assess the characteristics and validation status of blood pressure measuring devices available for online purchase within Peru. Methods Between September and November 2023, we performed an electronic search of major retailers and online pharmacies. Devices were classified as validated if they were listed in databases recommended by the 2023 European Society of Hypertension (ESH) Guidelines for the Management of Arterial Hypertension or deemed equivalent by the manufacturer. Validation status was …

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System Dynamics With Insight Maker, Steven D'Alessandro, Fons Wijnhoven Jan 2025

System Dynamics With Insight Maker, Steven D'Alessandro, Fons Wijnhoven

Research outputs 2022 to 2026

This book offers a practical, model-driven pathway for reasoning about uncertain futures in business and public policy using system dynamics with Insight Maker. It begins by motivating why historical data alone often fail to predict social change, and it introduces the core language of system dynamics—stocks, flows, feedbacks, delays, and auxiliary variables—alongside the complementary use of agent-based modeling. Through business-relevant cases (e.g., park management trade-offs, epidemic–economy interactions, and industry competition), the book demonstrates how non-linear structure generates counter-intuitive dynamics, why scenario analysis is essential, and how to translate causal loop diagrams into stock-and-flow simulations. Readers are guided step-by-step to build, …

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