Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 32221 - 32250 of 715071

Full-Text Articles in Entire DC Network

Improving Efficiency Of Wind Flow Modeling For Wildfire Applications Using Analytical Parameterization And Neural Networks, Laura Jane Housley Apr 2025

Improving Efficiency Of Wind Flow Modeling For Wildfire Applications Using Analytical Parameterization And Neural Networks, Laura Jane Housley

Theses and Dissertations

We model wind velocity fields for applications in wildfire modeling. We improve the accuracy of the mass-conserving WindNinja solver without compromising efficient temporal complexity. We consider two approaches: the parameterization method and the neural network method. In the parameterization method, we analyze eddies in the wake of obstacles by parameterizing cavity zones as inspired by the research by Kaplan & Dinar in 1996. Kaplan & Dinar parameterize cavity zones around rectangular buildings, and we approximate a continuous landscape with rectangular buildings in order to extend this parameterization to complex terrains. In the neural network method, we train a U-net CNN …

Go to article

Characterization And Enzymatic Evaluation Of Ecoenzyme Derived From Fruit And Vegetable Waste: An Effort To Achieve Zero Waste Concept, Gun Gun Gumilar, Asep Kadarohman, Muhammad Fauzan Fakhrurozi, Nahadi, Florentina Maria Titin Supriyanti, Heli Siti Halimatul Munawaroh Apr 2025

Characterization And Enzymatic Evaluation Of Ecoenzyme Derived From Fruit And Vegetable Waste: An Effort To Achieve Zero Waste Concept, Gun Gun Gumilar, Asep Kadarohman, Muhammad Fauzan Fakhrurozi, Nahadi, Florentina Maria Titin Supriyanti, Heli Siti Halimatul Munawaroh

Baghdad Science Journal

Food waste has accounted for 44% of the total amount of waste produced in Indonesia. From that total, fruits and vegetables waste constitute the main dominant contributors. Production of ecoenzyme has the potential to reduce the environmental waste problem and convert as well the waste into valuable products. This study was employed to characterize and evaluate the enzymatic activity of ecoenzymes produced from the fruit and vegetable waste. The fruits used to produce these ecoenzymes were pineapple, avocado, and orange, while the vegetables-ecoenzymes were generated from lettuce, Chinese cabbage, and broccoli. The ecoenzyme was produced through a fermentation process for …

Go to article

Inpatient Length Of Stay And Mortality Prediction Utilizing Clinical Time Series Data, Junde Chen, Mason Li, Miles Milosevich, Tiffany Le, Andrew Bahsoun, Yuxin Wen Apr 2025

Inpatient Length Of Stay And Mortality Prediction Utilizing Clinical Time Series Data, Junde Chen, Mason Li, Miles Milosevich, Tiffany Le, Andrew Bahsoun, Yuxin Wen

Engineering Faculty Articles and Research

Electronic Health Records (EHRs), which include demographic information, clinical notes, vital signs, laboratory test results, and others, provide rich information for clinical outcome prediction. In this work, we propose a novel attention embedded residual long short-term memory (LSTM) fully Convolutional Network (FCN) to perform the clinical predictions of inpatients’ length of stay (LoS) and mortality. The proposed model is uniquely composed of a convolutional neural network (CNN) layer, three residual blocks, an LSTM unit, an FCN module, and a self-attention module. This innovative architecture allows for comprehensive feature extraction, where the CNN and residual blocks enhance clinical data features, the …

Go to article

A Performance Comparison Between Two Speech-To-Asl-Gesture-Projection Translation Implementations, Alexandra Kashani Motlagh, Shikha Mehta, Ishfaq Ahmad, Addison Clark, Hansheng Lei Apr 2025

A Performance Comparison Between Two Speech-To-Asl-Gesture-Projection Translation Implementations, Alexandra Kashani Motlagh, Shikha Mehta, Ishfaq Ahmad, Addison Clark, Hansheng Lei

Informatics and Engineering Systems Faculty Publications

Millions of people with hearing disabilities use sign language for communication, creating a communication gap with those who are not fluent in ASL (American Sign Language). This paper aims to introduce an ASL interpreter system using a smart-glasses-based augmented reality system. We begin by introducing and comparing two models that translate spoken language into ASL poses. The first system translates spoken text to ASL Gloss, an intermediate representation, before generating ASL poses. The second system directly translates the text to ASL poses. Our analysis shows that using ASL Gloss as an intermediate step significantly improves the translation speed. We then …

Go to article

Language Choice And Russian Course Enrollment Among University Students, Emma Calderwood Apr 2025

Language Choice And Russian Course Enrollment Among University Students, Emma Calderwood

Theses and Dissertations

University Russian enrollments have been steadily declining in the United States since 2009 (MLA, 2023). No research has been done to examine student motivation for studying Russian since long before the 2022 increase in conflict between Russia and Ukraine. This study surveys two groups of students at the university level: students enrolled in BYU 101-level language classes, and students enrolled in Russian classes at six universities in the United States. The findings report that the most common reasons students choose to take university Russian classes is because they have a general interest in the language, they want to travel to …

Go to article

Vilsmeier–Haack Complex Formation By Fe3O4@Sio2@Cs@Pocl2–X/Dmf: An Efficient Catalyst For Conversion Of Epoxides To Β-Bromoformates, Farzaneh Ebrahimzadeh Apr 2025

Vilsmeier–Haack Complex Formation By Fe3O4@Sio2@Cs@Pocl2–X/Dmf: An Efficient Catalyst For Conversion Of Epoxides To Β-Bromoformates, Farzaneh Ebrahimzadeh

Turkish Journal of Chemistry

The in situ generation of the Vilsmeier–Haack complex was studied by combining Fe3O4@SiO2@CS@POCl2–x with N,N-dimethylformamide (DMF), demonstrating remarkable efficiency and regioselectivity in transforming epoxides into β-bromoformates. The reported yields were notably high and were achieved under mild reaction conditions. Interestingly, the removal of DMF led to the synthesis of vic-dihalide compounds. The product of this transformation depended on the specific details of how the experiment was done, highlighting how sensitive the process is to different ways of conducting the experiment. The use of a magnetic core-shell catalyst, Fe3O …

Go to article

Wo3/Α-Fe2O3/Bi2S3 Ternary Photoanode For Improved Oxygen Evolution Reaction In Photoelectrochemical Water Splitting, Fati̇h Tezcan, Abrar Ahmad, Gülfeza Kardaş Apr 2025

Wo3/Α-Fe2O3/Bi2S3 Ternary Photoanode For Improved Oxygen Evolution Reaction In Photoelectrochemical Water Splitting, Fati̇h Tezcan, Abrar Ahmad, Gülfeza Kardaş

Turkish Journal of Chemistry

This study presents a ternary WO3/α-Fe2O3/Bi2S3 photoanode system suitable for photoelectrochemical water-splitting applications. The WO3/α-Fe2O3 heterojunction is obtained using a hydrothermal approach, while Bi2S3 is deposited onto WO3/α-Fe2O3 via the successive ionic layer adsorption and reaction (SILAR) method. The cycle count is adjusted to determine the optimal photocatalytic photoanode. X-ray diffraction analysis confirms different morphologies and phases for the photoelectrodes: WO3 is deposited as plates with monoclinic phases, α-Fe2O3 as nanorods with hexagonal phases, …

Go to article

A New Turn Off Fluorescent Nir Probe For Hypochlorous Acid And Its Applications, Ayten Ibrahimova, Ayşe Nur Önem, Mehmet Altun, Emi̇n Ahmet Yeşi̇l, Asli Baysal, Hasan Saygin, Ahu Soyocak, Mustafa Özyürek Apr 2025

A New Turn Off Fluorescent Nir Probe For Hypochlorous Acid And Its Applications, Ayten Ibrahimova, Ayşe Nur Önem, Mehmet Altun, Emi̇n Ahmet Yeşi̇l, Asli Baysal, Hasan Saygin, Ahu Soyocak, Mustafa Özyürek

Turkish Journal of Chemistry

Hypochlorous acid (HOCl) is a potent nonradical oxidant involved in various physiological processes, particularly within the human immune system. In this study, we introduce a novel, rapid, and highly efficient fluorometric method for the detection of HOCl. The method utilizes a near-infrared (NIR)-based fluorescent probe, NIR-QBH, which is characterized by its high sensitivity and chemical stability. NIR-QBH, containing olefinic C=C bonds, exhibits strong NIR emission at 660 nm (λex = 618 nm). The detection mechanism relies on the oxidation of the C=C bond in the NIR-QBH structure by HOCl, resulting in the formation of non-fluorescent products. With a detection limit …

Go to article

Two-Stage Least Squares Estimation In A Spatial Lag Model Under A Complete Bipartite Network, Badi H. Baltagi, Long Liu Apr 2025

Two-Stage Least Squares Estimation In A Spatial Lag Model Under A Complete Bipartite Network, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper considers a spatial lag model with a complete bipartite network weighting matrix which is important in network theory. We show that two-stage least squares is equivalent to ordinary least squares and both estimators are inconsistent for the cross-section data case. This result has also been derived for the spatial lag model with an equal weight matrix by Kelejian and Prucha (2002). We also show that the fixed effects two-stage least squares estimator is consistent in case we have panel data and the spatial lag model includes time fixed effects. This is different from the result for an equal …

Go to article

Hypergraph Search For Real-Time Multi-Robot Task Allocation In A Smart Factory, Zixiang Nie, Kwang-Cheng Chen Apr 2025

Hypergraph Search For Real-Time Multi-Robot Task Allocation In A Smart Factory, Zixiang Nie, Kwang-Cheng Chen

USF Patents

Task assignment for multi-robot systems (MRSs) in a smart factory (Industry 4.0) is described. Aspects are directed to a hypergraph based MRS and production model facilitating the cooperation among robots and serving frequent reconfiguration desired in Industry 4.0. Aspects are directed to a time complexity friendly search algorithm for real-time application using a hypergraph model to get task assignment(s). Parameters are provided for a tradeoff between solution optimality and time complexity. In an implementation, an example system can include a MRS including robots, wherein the MRS is configured to perform a manufacturing task, and a computing device configure to perform …

Go to article

Combinatorial Rigidity And Flexibility Of Simplicial 2-Complexes With Few Vertices, Serge A. Lawrence, Abdulkarim M. Magomedov, Olga I. Chelyapina, Valentina M. Rudenko Apr 2025

Combinatorial Rigidity And Flexibility Of Simplicial 2-Complexes With Few Vertices, Serge A. Lawrence, Abdulkarim M. Magomedov, Olga I. Chelyapina, Valentina M. Rudenko

Theory & Applications of Graphs

We study the problem of reconstruction of a simplicial 2-complex from its 1- skeleton together with the prescribed quantities of 2-simplices at each 1-simplex, under the restriction that these quantities are bounded above by 2. It is a known fact that a 2-complex is uniquely reconstructible, or “combinatorially rigid”, if it has 5 or fewer vertices. In this paper “combinatorially flexible” 2-complexes (that is, non-uniquely reconstructible from their 1-skeletons) with 6 vertices are characterized in terms of necessary 2-subcomplexes.

Go to article

Tracking And Increasing Digital Literacy Skills In Secondary Education, Joseph Elsen Apr 2025

Tracking And Increasing Digital Literacy Skills In Secondary Education, Joseph Elsen

Masters Projects

Some students in secondary schools struggle to perform at proficient levels in their digital literacy skills. These skills are grouped into multiple categories and can be applied to a wide range of interdisciplinary subjects. Students should understand and be analytical about the technology they use, be able to create new content in a creative way, and can collaborate with a global audience in an ethical way (Pangrazio, et. al. 2020). Because of the wide range of disciplines and rapidly changing technology, the definition of being digitally literate has changed in the last twenty-five years. Students with lower digital literacy skills …

Go to article

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao Apr 2025

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagnose cardiac conditions more accurately by applying machine learning technology. This study aimed to enhance heart disease prediction using stacking and voting ensemble methods. Fifteen base models were trained on two different heart disease datasets. After evaluating various combinations, six base models were pipelined to develop ensemble models employing a meta-model (stacking) and a majority vote (voting). The performance of the stacking and voting …

Go to article

Studying Cultural Change With Transhistorical Semantic Directions, Travis Daichi Ashby Apr 2025

Studying Cultural Change With Transhistorical Semantic Directions, Travis Daichi Ashby

Theses and Dissertations

This study advances the use of diachronic word embeddings in cultural sociology, contributing both methodologically and substantively. Methodologically, it synthesizes best practices for constructing semantic directions and addresses challenges arising from diachronic embeddings, including missing data and semantic drift. Substantively, it examines historical changes in schemas and conceptual metaphors related to "processing." By analyzing the changing associations between processing-related words (e.g., "raw" and "refined") and evaluative categories like authenticity, valence, and aesthetics, the study examines whether word-level changes amongst schematically-related words indicate deeper cultural shifts at the schematic level. Findings indicate a growing association between processed states and inauthenticity, a …

Go to article

Inquiry-Style Planetarium Activities, Emma Rasmussen Groberg Apr 2025

Inquiry-Style Planetarium Activities, Emma Rasmussen Groberg

Theses and Dissertations

Introductory astronomy students often face challenges in exploring their own ideas and investigating astronomical phenomena due to the limitations of nighttime observation and weather conditions. Planetariums overcome these barriers by simulating the night sky, making it accessible during class sessions regardless of external conditions. This provides an opportunity to engage students in inquiry-based activities, where they are presented with a scenario and encouraged to use their own reasoning to reach conclusions. In this study, we implemented inquiry-based activities in PHSCS 127 using the planetarium as an investigative tool. We developed four activities designed to help students explore their ideas and …

Go to article

Reconstruction Of Cad Models Into Single Trimmed Surfaces, Rebecca Rasmussen Apr 2025

Reconstruction Of Cad Models Into Single Trimmed Surfaces, Rebecca Rasmussen

Theses and Dissertations

Classical methods by which computer-aided design (CAD) geometries are represented for both design and analysis involve meshing. However, the current process of converting a CAD model into an analysis-suitable surface mesh for the automotive industry takes a significant amount of time and labor, results in a faceted representation of the original smooth geometry, and generates representations that are prohibitively expensive for use in high-order explicit dynamics computations. This research focuses on accurately and efficiently rebuilding given CAD surfaces or meshes, such as shell-like components of automotive vehicles, into smooth, single trimmed spline surface approximations (rather than typical piecewise-linear approximations), making …

Go to article

Modeling The Kepler Systems With Multiple Transiting Planets, Daniel Kempton Jones Apr 2025

Modeling The Kepler Systems With Multiple Transiting Planets, Daniel Kempton Jones

Theses and Dissertations

As the study of exoplanets, planets not in our solar system, has developed, new observational constraints have illuminated the formation and evolution of planetary systems. Among these observations, the true distributions of planetary mass, radius, and density are at the forefront. NASA's Kepler Space Telescope has provided an enormous wealth of data on the exoplanet radius distribution as well as a significant fraction of mass measurements through the detection of planet-planet dynamical interactions. The best method for studying these exoplanetary systems is with a photodynamical model which combines an n-body integrator with lightcurve model to generate synthetic lightcurves. To support …

Go to article

Advancing Aerial Survey Techniques For Non-Breeding Waterfowl Populations: A Comprehensive Review And Application In Northeastern Louisiana, Victoria L. Drake Apr 2025

Advancing Aerial Survey Techniques For Non-Breeding Waterfowl Populations: A Comprehensive Review And Application In Northeastern Louisiana, Victoria L. Drake

LSU Master's Theses

Aerial surveys play a crucial role in monitoring North America's waterfowl populations and habitat conditions, and consistency across geographies and years allows biologists to track trends through time. The goal of this project was to redesign the northeastern portion of the Louisiana wintering waterfowl survey to align with statistically robust transect surveys conducted in neighboring states within the Mississippi Alluvial Valley. To identify the optimal sampling method, we evaluated three transect weighting schemes: stratified random (unweighted), stratified by watershed, and stratified by expert opinion. Approximately 10% of the total sampling area was randomly selected for each survey period, adhering to …

Go to article

Securing Edge-Iiot Networks: A Comprehensive Ensemble-Based Ddos Detection System, Fariba Laiq, Feras Al-Obeidat, Adnan Amin, Fernando Moreira Apr 2025

Securing Edge-Iiot Networks: A Comprehensive Ensemble-Based Ddos Detection System, Fariba Laiq, Feras Al-Obeidat, Adnan Amin, Fernando Moreira

All Works

As the number of Internet of Things (IoT) devices increases daily due to the rapid growth in technology, every device and network is vulnerable to attacks because it is exposed to the internet. Denial of Service (DoS) is a prevalent type of intrusion on the IoT network in which the server becomes down due to flooding requests. Distributed Denial of Service (DDoS) is a special type of DoS attack where the network of malicious computers called botnet consumes the target's system resources by flooding the requests. Edge computing is closely related to Industrial Internet of Things (IIoT), and industry 4.0. …

Go to article

Understanding Flow: An Experimental Analysis Of A Magnetohydrodynamic Fluid Pump, Quintin Yates, Emily Hawkins Apr 2025

Understanding Flow: An Experimental Analysis Of A Magnetohydrodynamic Fluid Pump, Quintin Yates, Emily Hawkins

Honors Thesis

When a magnetic field and electrical current are perpendicular to each other, an ionized fluid will experience a force called the Lorentz force. This force can be applied to create a pump. These pumps have potential applications in desalination and fluid systems in space. The technology is new, and still not well understood but are a potential alternative to typical mechanical pumps. This thesis develops a comprehensive experimental understanding of the fluid flow through a 3D-printed magnetohydrodynamic (MHD) pump. Lagrangian particle tracking (LPT) uses neutrally buoyant particles and a camera system to collect quantitative velocity information of a system. Particle …

Go to article

An Intercomparison Of Wall Fluxes In A Turbulent Thermal Convection Chamber: Direct Numerical Simulations And Wall-Modeled Large-Eddy Simulations Enhanced By Machine Learning, Aaron Wang, Silvio Schmalfuß, Kamal Kant Chandrakar, Hadi Zanganeh Kia, Fan Yang, Mikhail Ovchinnikov, Raymond A. Shaw, Yunsoo Choi Apr 2025

An Intercomparison Of Wall Fluxes In A Turbulent Thermal Convection Chamber: Direct Numerical Simulations And Wall-Modeled Large-Eddy Simulations Enhanced By Machine Learning, Aaron Wang, Silvio Schmalfuß, Kamal Kant Chandrakar, Hadi Zanganeh Kia, Fan Yang, Mikhail Ovchinnikov, Raymond A. Shaw, Yunsoo Choi

Michigan Tech Publications

Thermal convection in a closed chamber is driven by a warm bottom, a cold top, and side walls at various temperatures. Although wall fluxes are the source of convection energy, accurately modeling these fluxes (i.e., the wall model) is challenging. In large-eddy simulations (LESs), many wall models are traditionally derived from the canonical boundary layer, which may be unsuitable for thermal convection bounded by both horizontal and vertical walls. This study conducts a model intercomparison of dry convection in a cubic-meter chamber using three direct numerical simulations (DNSs) and four LESs with different wall models. The LESs employ traditional wall …

Go to article

Risk Factors Of Self-Reported Prediabetes Status In New York State, Kari Ann Hunter Thompson Apr 2025

Risk Factors Of Self-Reported Prediabetes Status In New York State, Kari Ann Hunter Thompson

Walden Dissertations and Doctoral Studies

Prediabetes affects over 4 million people in New York State and increases the risk of Type 2 diabetes. Prior research identified risk factors such as poor diet, inactivity, obesity, hypertension, and smoking; but no studies examined these collectively or assessed their interactions. This quantitative, cross-sectional study analyzed a sample of 289 non-institutionalized adults aged 18 or older with landline or cellular phone, from the Behavioral Risk Factor Surveillance System. The study examined relationships between prediabetes and 16 factors in five categories: demographic (age, race, sex, education), socioeconomic (income, employment), behavioral (fruit intake, vegetable intake, physical activity, smoking), physiological (hypertension, BMI), …

Go to article

Characterization Of Kcl-Activated Carbon Derived From Walnut Shells Of Tidore Island, Indonesia, I Dewe Ketut Anom, Chaleb Paul Maanari, Marianus, Johny Zeth Lombok, Saprizal Hadisaputra, I Dewa Gede Katja, Jefry Jack Mamangkey, Aisyiah Restutiningsih Putri Utami Apr 2025

Characterization Of Kcl-Activated Carbon Derived From Walnut Shells Of Tidore Island, Indonesia, I Dewe Ketut Anom, Chaleb Paul Maanari, Marianus, Johny Zeth Lombok, Saprizal Hadisaputra, I Dewa Gede Katja, Jefry Jack Mamangkey, Aisyiah Restutiningsih Putri Utami

Baghdad Science Journal

Activated carbon is highly valued for its versatility and extensive industrial use. Walnut (Canarium vulgare Leech), an indigenous Indonesian plant primarily found in Eastern regions like Maluku and Tidore islands, produces shells that can be converted into activated carbon. This study involved obtaining carbon from walnut shells through pyrolysis at 360°C for 6 hours, followed by activation in a 3M KCl solution for 24 hours. The activated carbon was analyzed using Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy-Energy Dispersive X-ray (SEM-EDX), and X-ray Diffraction (XRD). FTIR analysis revealed functional groups including N-H, Ar-H (aromatic), C≡N, carbonyl CO, and ester …

Go to article

Ontologies For Smart Agriculture: A Path Toward Explainable Ai-A Systematic Literature Review, Rima Grati, Najla Fattouch, Khouloud Boukadi Apr 2025

Ontologies For Smart Agriculture: A Path Toward Explainable Ai-A Systematic Literature Review, Rima Grati, Najla Fattouch, Khouloud Boukadi

All Works

Smart agriculture has grown significantly over the last few years, particularly with the integration of advanced technologies (e.g., the Internet of Things, robots, artificial intelligence, etc.), leading to the development of intelligent agricultural systems. However, these systems often lack data integration, interoperability, and semantic explainability. Various approaches have been proposed to address these challenges. This study provides a comprehensive literature review that addresses, on the one hand, the use of semantic resources (e.g., semantic web technologies and ontologies) to tackle data integration and interoperability in smart agriculture systems and, on the other hand, the integration of explainable artificial intelligence into …

Go to article

Balancing Privacy And Security: A Comparative Analysis Of Ai-Driven Surveillance In The Uae And Usa, Belal Alghafri, Abdallah Tubaishat Apr 2025

Balancing Privacy And Security: A Comparative Analysis Of Ai-Driven Surveillance In The Uae And Usa, Belal Alghafri, Abdallah Tubaishat

All Works

AI-driven surveillance has emerged as a critical tool for enhancing public safety, enabling authorities to monitor and prevent crime and terrorism more effectively. In countries like the UAE and the USA, these systems are often implemented under the pretext of national security, offering advanced methods to track potential threats. However, the increasing reliance on AI for surveillance raises significant ethical concerns about privacy and individual freedoms. The boundary between protecting citizens and infringing on their privacy becomes increasingly blurred, potentially leading to abuses of power, diminished public trust, and a pervasive atmosphere of fear. This paper explores the complex relationship …

Go to article

Culturally And Linguistically Diverse Young Learners With Special Needs: Implementation Of The Resilience Based Interaction Model, Laura Knotts Apr 2025

Culturally And Linguistically Diverse Young Learners With Special Needs: Implementation Of The Resilience Based Interaction Model, Laura Knotts

Theses and Dissertations from DePaul University

No abstract provided.

Go to article

Trenching And Compost Sustain Grain Yield Increases Over Nine Years On Deep Sands But At A Cost, David J.M. Hall, Tom J. Edwards Apr 2025

Trenching And Compost Sustain Grain Yield Increases Over Nine Years On Deep Sands But At A Cost, David J.M. Hall, Tom J. Edwards

Grain and Other Field Crops Research Articles

Context. Crops grown on deep sands on the south coast of WA are limited by soil physical and chemical properties including compaction and poor nutrition. Aims. Crops grown on deep sands on the south coast of Western Australia are limited by soil physical and chemical properties including compaction and poor nutrition. Our aim was to determine what effects deep-placed organic amendments have on soil properties and crop production in a deep sand and whether such amendments are profitable. Methods. A long-term field trial was conducted over nine years (2015–2023) to investigate soil amendments including lime (0 and …

Go to article

An Approach To Model Uncertainty In Fluid Behaviour With Navier-Stokes Equations In Neutrosophic Environment, Muhammad Saeed, Attia Hameed, Neha Andaleeb Khalid, Muhammad Salman Habib Apr 2025

An Approach To Model Uncertainty In Fluid Behaviour With Navier-Stokes Equations In Neutrosophic Environment, Muhammad Saeed, Attia Hameed, Neha Andaleeb Khalid, Muhammad Salman Habib

Neutrosophic Systems with Applications

The complex discipline of fluid dynamics examines the behavior of fluids and their interactions with adjacent objects. The Navier-Stokes equations are very important for explaining how fluids move, but they are not linear and often give answers that depend on the starting point and the boundaries. Modeling fluid behavior is challenging due to the inherently chaotic and unpredictable character of fluid dynamics. To deal with unknown or uncertain values in this research, we used neutrosophic logic to look at the Navier-Stokes equations in a new way. Neosophic logic permits the existence of values that are partially true and partially false; …

Go to article

Teacher Perceptions Of Factors Contributing To Special Educator Teacher Attrition, Carlesha Shanita King Douglas Apr 2025

Teacher Perceptions Of Factors Contributing To Special Educator Teacher Attrition, Carlesha Shanita King Douglas

Walden Dissertations and Doctoral Studies

The problem investigated in this study was the high attrition rate for special education teachers. Attrition rates have been associated with a variety of adverse outcomes, including heavy workloads, behavior problems, reduced student achievement, and increased levels of stress. High attrition rates also create a financial burden on school districts. Using Herzberg’s motivation-hygiene theory as the conceptual framework, this qualitative study aimed to identify job-related factors that contribute to special education teachers leaving the profession. The research question guiding this study identified the factors that cause special education teachers to leave the profession. Data were collected by interviewing 12 current …

Go to article

Speed Of Shear Waves As A Function Of Frequency In Micellar Fluid, Michael Basha Apr 2025

Speed Of Shear Waves As A Function Of Frequency In Micellar Fluid, Michael Basha

Honors Theses

The purpose of this experiment was to investigate the frequency dependence of shear wave speed in a micellar fluid. A high-concentration CTAB-NaSal micellar fluid seeded with microspheres was used in the experiment. Shear waves were generated using a wave driver and a function generator, while a high-speed camera captured video recordings. Since the frequency of the wave driver producing the shear waves in the micellar fluid is a constant value set by the experimenter, changes in shear wave speed can be determined by measuring their wavelengths at different frequencies.The captured video was then broken down into frames using MATLAB. These …

Go to article

First Prev Next Last