การรับรู้ความพร้อมของครัวเรือนในการจัดการน้ำอุปโภคบริโภคในช่วงอุทกภัย กรณีศึกษาจังหวัดนครสวรรค์, สุธัญญา เกษสุริยงค์

Chulalongkorn University Theses and Dissertations (Chula ETD)

อุทกภัยของจังหวัดนครสวรรค์เกิดขึ้นบ่อยครั้งซึ่งจะส่งผลกระทบต่อปริมาณและคุณภาพน้ำอุปโภคบริโภคช่วงอุทกภัย ผู้วิจัยจึงเห็นความสำคัญการรับรู้ความพร้อมด้านการจัดการน้ำอุปโภคบริโภคช่วงอุทกภัยเพื่อลดปัญหาการขาดแคลนน้ำและความเสี่ยงต่อการเกิดโรคที่มีสาเหตุมาจากน้ำ งานวิจัยนี้มีวัตถุประสงค์เพื่อ 1) ศึกษาสถานการณ์การจัดการน้ำอุปโภคบริโภคช่วงอุทกภัย 2) ศึกษาปัจจัยที่ส่งผลต่อการรับรู้ความพร้อมของครัวเรือนในการจัดการน้ำอุปโภคบริโภค 3) ศึกษากลุ่มโรคของชุมชนจากผลกระทบของอุทกภัย เพื่อลดปัญหาผลกระทบด้านสุขภาพช่วงอุทกภัย กรณีศึกษาพื้นที่ประสบอุทกภัย ได้แก่ อำเภอชุมแสง อำเภอลาดยาว และอำเภอท่าตะโก จังหวัดนครสวรรค์ เก็บข้อมูลโดยใช้แบบสอบถามกลุ่มตัวอย่างจำนวน 400 ครัวเรือน รวมทั้งการสัมภาษณ์หน่วยงานภาครัฐผู้ที่เกี่ยวข้อง งานวิจัยทำการวิเคราะห์ข้อมูลแบบสอบถามโดยใช้สถิติเชิงพรรณนาและวิเคราะห์ความถดถอยแบบโลจิสติก (Logistic Regression Analysis) ผลการศึกษาพบว่า 1.ปริมาณน้ำอุปโภคบริโภคมีเพียงพอ โดยได้รับความช่วยเหลือจากหน่วยงานรัฐภายใน 1 ถึง 2 วันหลังเกิดอุทกภัย ครัวเรือนมีการปรับปรุงคุณภาพน้ำได้แก่ การต้มให้เดือด แกว่งสารส้ม และตั้งไว้ให้ตกตะกอน ตามลำดับ การรับรู้ด้านความสะอาดน้ำช่วงอุทกภัย พบว่าน้ำมีความสะอาด การรับรู้พื้นที่อยู่อาศัยมีความเสี่ยงระดับปานกลาง ผู้ตอบแบบสอบถามมีความกังวลต่อการเกิดอุทกภัยระดับมาก ร้อยละ 25.5 เห็นว่า ไม่มีการให้บริการจัดการขยะในช่วงอุทกภัย การรับรู้ปัญหาการเจ็บป่วยระดับมาก ซึ่งโรคที่พบมากที่สุด คือ โรคผิวหนัง เกิดจากการขาดแคลนน้ำสะอาดสำหรับอุปโภคและการสัมผัสน้ำปนเปื้อน 2.ปัจจัยความสัมพันธ์กับการรับรู้ความพร้อมในการจัดการน้ำช่วงอุทกภัย ได้แก่ ระดับการศึกษา รายได้ของครัวเรือน จำนวนสมาชิก การรับรู้ข่าวสาร ประสบการณ์ในอดีตทำให้เกิดความเคยชินกับสถานการณ์ นำมาซึ่งข้อเสนอแนะต่อครัวเรือนและหน่วยงานที่เกี่ยวข้อง ควรมีการส่งเสริมการปฏิบัติด้านสุขอนามัยที่ดีของชุมชนและวางแผนตรวจสอบคุณภาพน้ำเป็นระยะ เพื่อเป็นการบรรเทาผลกระทบต่อสุขภาพอนามัยของประชาชน

การเตรียมและประสิทธิภาพการเป็นตัวเร่งปฏิกิริยาเชิงแสงของวัสดุเชิงประกอบกราฟิติกคาร์บอนไนไตรด์/ซิลเวอร์–ไทเทเนียมไดออกไซด์ภายใต้แสงช่วงที่ตามองเห็น, ชนม์นิภา ตั้งวงศ์พุฒิ

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์ในการเตรียมวัสดุเชิงประกอบ g-C3N4/(Ag-TiO2) เพื่อเพิ่มประสิทธิภาพการเร่งปฏิกิริยาเชิงแสงภายใต้แสงช่วงที่ตามองเห็นให้สามารถใช้งานได้ในช่วงแสงที่กว้างขึ้น โดยเริ่มจากการสังเคราะห์ Ag-TiO2 ที่ 0.05-3 wt% Ag ผ่านกระบวนการรีดักชันทางเคมี ขณะที่ g-C3N4 สังเคราะห์จากการเผาแคลไซน์ของยูเรียที่อุณหภูมิ 600 oC เป็นเวลา 4 ชั่วโมง และวัสดุเชิงประกอบ g-C3N4/(Ag-TiO2) สังเคราะห์โดยผสม g-C3N4 และ Ag-TiO2 ที่อัตราส่วนโดยน้ำหนัก 1:99 ถึง 99:1 ประสิทธิภาพของตัวเร่งปฏิกิริยาเชิงแสงทดสอบโดยการย่อยสลายสีย้อมโรดามีนบี (10 มิลลิกรัม/ลิตร, ปริมาตร 120 มิลลิลิตร) โดยใช้ตัวเร่งปฏิกิริยาเชิงแสง 0.05 กรัม ภายใต้การฉายแสงช่วงต่างๆเป็นเวลา 60 นาที ผลการทดลองพบว่า Ag-TiO2 ที่ 0.1 wt% Ag ให้ประสิทธิภาพที่ดีที่สุด เท่ากับ 21.21% ภายใต้การฉายแสงช่วงที่ตามองเห็น เนื่องจากการเติม Ag ส่งเสริมการดูดกลืนแสงในช่วงที่ตามองเห็น และลดการรวมตัวกันของอิเล็กตรอนและโฮล เมื่อนำ 0.1 wt% Ag-TiO2 มาเตรียมเป็นวัสดุเชิงประกอบ g-C3N4/(Ag-TiO2) หลังการทดสอบฉายแสงช่วงที่ตามองเห็น และแสงอาทิตย์เป็นเวลา 10 นาที พบว่า g-C3N4/(Ag-TiO2) ที่ 99:1 ให้ประสิทธิภาพในการย่อยสลายสีย้อมสูงที่สุด คิดเป็น 99.54% และ 100% ตามลำดับ ขณะที่ g-C3N4/(Ag-TiO2) ที่ 1:99 ให้ประสิทธิภาพในการย่อยสลายสีย้อมภายใต้การฉายแสงยูวีสูงที่สุดคิดเป็น 80.21% จากผลการศึกษาแสดงให้เห็นว่าโครงสร้างเฮทเทอโรของ g-C3N4/(Ag-TiO2) มีส่วนช่วยในการลดการรวมกันของอิเล็กตรอนและโฮล และส่งเสริมประสิทธิภาพการย่อยสลายเชิงแสง ทั้งภายใต้แสงยูวี แสงช่วงที่ตามองเห็น และแสงอาทิตย์ จึงเป็นการเพิ่มศักยภาพการนำไปใช้งานได้กว้างขึ้น ส่วนผลการทดสอบประสิทธิภาพการเปลี่ยนแก๊สคาร์บอนไดออกไซด์ (CO2) ไปเป็นเมทานอล (CH3OH) ของตัวเร่งปฏิกิริยาเชิงแสง TiO2, Ag-TiO2 และ g-C3N4/(0.1 wt% Ag-TiO2) ที่ …

Value-Added Curable Precursors Derived From Oxidized Products Of Post Consumer High Density Polyethylene Milk Bottles, Kusuma Pinsuwan

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this research, post-consumer high-density polyethylene (HDPE) milk bottles have been successfully recycled into dicarboxylic acids by nitric oxidation using hydrothermal process. Variation of nitric acid concentration (0.1 – 0.18 g/ml), reaction time (1 - 24 h), reaction temperature (150 - 200 °C), filled content (33 - 60% of filling capacity) and the HDPE: nitric ratio (1:3.6 – 1:10.8 w/w) significantly affected the yield and composition of the obtained products. 1H-NMR results revealed that the water-soluble products are composed of C4:C5:C6+ dicarboxylic acids at various ratios depending on the reaction parameters. It was found that when 0.18/3/180/40/1:7.2, 0.12/3/180/60/1:7.2 and 0.12/4/180/60/1:7.2 …

Managing Stochastic Bucket Brigades On Discrete Work Stations, Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Bucket brigades are notably used to coordinate workers in production systems. We study a J-station, I-worker bucket brigade system. The time duration for each worker to serve a job at a station is exponentially distributed with a rate that depends on the station's expected work content and the worker's work speed. Our goal is to maximize the system's productivity or to minimize its inter-completion time variability. We analytically derive the throughput and the coefficient of variation (CV) of the inter-completion time. We study the system under two cases. (i) If the work speeds depend only on the workers, the throughput …

The Ashrae Great Energy Predictor Iii Competition: Overview And Results, Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, Young June Park, Chris Balbach, Krishnan Gowri, Zoltan Nagy, D. Anthony Fontanini, Jeff Haberl

Research Collection College of Integrative Studies

In late 2019, ASHRAE hosted the Great Energy Predictor III (GEPIII) machine learning competition on the Kaggle platform. This launch marked the third energy prediction competition from ASHRAE and the first since the mid-1990s. In this updated version, the competitors were provided with over 20 million points of training data from 2,380 energy meters collected for 1,448 buildings from 16 sources. This competition’s overall objective was to find the most accurate modeling solutions for the prediction of over 41 million private and public test data points. The competition had 4,370 participants, split across 3,614 teams from 94 countries who submitted …

Dna Condensation State Regulates Nuclear Lamina Strain And Cellular Adaptation To Physiological Forces, Brooke E. Danielsson

Theses and Dissertations

The nucleus is the largest and stiffest organelle and is exposed to mechanical forces transmitted through the cytoskeleton from outside the cell, as well as from forces generation within the cell. In recent years, the nucleus has been proposed to act as a cellular mechanosensor, with changes to nuclear shape and architecture playing an important role in how the cell responds to physiological forces. Aberrant forms of the nuclear envelope protein lamin A/C, as well as epigenetic modifications to chromatin, has been shown to modify nuclear stiffness and viscosity, therefore effecting nuclear mechanics and mechanotransduction. Altered nuclear mechanics is associated …

Therapeutic Approaches For Respiratory Distress Syndrome, Franck J. Kamga Gninzeko

Theses and Dissertations

Respiratory distress syndrome (RDS) is characterized by shortness of breath and low oxygen levels. RDS affects the neonatal and adult populations. In the neonatal population, RDS can be classified as NRDS (Neonatal respiratory distress syndrome), while in adults, it is known as ARDS (acute respiratory distress syndrome). This dissertation examines a therapeutic approach to NRDS and a mechanistic approach to ARDS with in vivo and in vitro models of lung injury. NRDS is characterized by a deficiency or lack of surfactant. Surfactant is an essential compound composed of phospholipids and proteins to prevent the lungs from collapsing. There are several …

Improving Feature Learning Capability And Interpretability Of Unsupervised Neural Networks, Chathurika S. Wickramasinghe Brahmana

Theses and Dissertations

The motivation for this dissertation is two-prong. Firstly, the current state of machine learning imposes the need for unsupervised Machine Learning (ML). Secondly, once such models are developed, a deeper understanding of ML models is necessary for humans to adapt and use such models.

Real-world systems generate massive amounts of unlabeled data at rapid speed, limiting the usability of state-of-the-art supervised machine learning approaches. Further, the manual labeling process is expensive, time-consuming, and requires the expertise of the data. Therefore, the existing supervised learning algorithms are unable to take advantage of the abundance of real-world unlabeled data. Thus, relying on …

Continual Learning From Stationary And Non-Stationary Data, Lukasz Korycki

Theses and Dissertations

Continual learning aims at developing models that are capable of working on constantly evolving problems over a long-time horizon. In such environments, we can distinguish three essential aspects of training and maintaining machine learning models - incorporating new knowledge, retaining it and reacting to changes. Each of them poses its own challenges, constituting a compound problem with multiple goals.

Remembering previously incorporated concepts is the main property of a model that is required when dealing with stationary distributions. In non-stationary environments, models should be capable of selectively forgetting outdated decision boundaries and adapting to new concepts. Finally, a significant difficulty …

Modeling Pa-233 Generation In Thorium-Fueled Reactors For Safeguards, Victoria Davis

Theses and Dissertations

Thorium has been researched for many decades as a possible alternative to uranium nuclear fuel. Thorium can be implemented in many different reactor designs including pressurized water reactors (PWRs), pressurized heavy water reactors (PHWRs), and molten salt reactors (MSRs). Its abundance in the earth, decreased long-lived transuranic waste, and claims that there are fewer proliferation concerns contribute to the attractiveness of using thorium as alternative nuclear fuel. However, possible proliferation pathways have been noted and must be investigated, particularly the potential diversion of ²³³Pa which can then decay to ²³³U – special fissionable material that should be under …

Machine Learning (Ml) - Assisted Tools For Enhancing Security And Privacy Of Edge Devices, Santosh Kumar Nukavarapu

Theses and Dissertations

The rapid growth of edge-based IoT devices, their use cases, and autonomous communication has created new challenges with privacy and security. Side-channel attacks are one of the examples of security and privacy vulnerabilities that can cause inference at Internet-Service Provider (ISP) and local Wi-Fi networks. Such an attack would leak user’s sensitive information such as home occupancy, medical activity, and daily routines. Another example is that these devices have weak authentication and low encryption standards, making them an easy target for malware-based attacks such as denial of service or launching other network attacks using these infected devices. This thesis dissertation …

The L1-Norm Regularized L1-Norm Best-Fit Line Problem And Applications, Xiao Ling

Theses and Dissertations

The best-fit subspace or low-rank approximation of a data matrix revolves
around the norm approximation technique. l²-norm criterion is probably the most
widely used norm for fitting subspaces. As the computational power increases, the
l¹-norm analogue has recently gained attention from the academic community. It is
widely agreed that the l¹ norm is insensitive to outliers, compared to its l² variant.
Because of the polyhedral structure interrelated with linear programming (LP),
the l⁰ norm is commonly relaxed into the l¹-norm problem to induce sparsity in
models. In this work, we examine …

Molten Salt Technologies For Advanced Nuclear Fuel Cycles And Molten Salt Reactors, Dimitris Killinger

Theses and Dissertations

This dissertation provides five topics—an assessment of different monitoring and analytical techniques often cited in the literature for molten salt systems and designs for nuclear engineering applications. First, we explored commonly used materials for quasi-reference electrodes in molten chloride salts. Second, the limitations of the electrochemical analysis known as cyclic voltammetry due to the concentration of uranium(III) present were being investigated. Third, we provided an experimental assessment on the development of a spectroelectrochemical cell for interrogating various spectroelectrochemical techniques, namely chronoabsorptometry and chronofluorometry, and their limitations due to the presence of uranium(III) ions. Fourth, a study on the corrosion resistance …

Cadent Diffusion: Permeating The Membrane, Isabella M. Kubo

Theses and Dissertations

cadent diffusion: permeating the membrane explores and documents KUBO's journey of cultivating a sustainable and curious artistic practice during their Master’s program in Richmond, Virginia (Powhatan Land) from the Fall of 2020 to the Spring of 2022.

KUBO's practice is the affirmation between life and change in an attempt to work along the forces of singularity; to free lines, scores, concepts, and events from structures that otherwise bind them.The cadent diffusion is the rhythm in this force. Or perhaps, it is the force itself.

Therapeutic Injectable Iron-Chelating Hydrogels, Debbie Campbell-Rance

Theses and Dissertations

ABSTRACT

Therapeutic Injectable Iron-Chelating Hydrogels for Improved Central Nervous System Regeneration

By

Debbie S. Campbell-Rance

A dissertation submitted in partial fulfillment of the requirements of the degree of Doctor of Philosophy at Virginia Commonwealth University 2021.

Director: Xuejun Wen, M.D., Ph.D., AIMBE Fellow, Alice T. and William H. Goodwin Jr. Endowed Chair Professor in Regenerative Medicine, Institute for Engineering and Medicine, Department of Chemical and Life Science Engineering

Severe traumatic brain and spinal cord injuries are major global public health and socioeconomic problems in terms of mortality and morbidity. Currently there are two main lines of treatment under development for …

Modeling Of Patient-Specific Periaortic Mechanics And Pulmonary Artery Hemodynamics Based On Phase-Contrast Magnetic Resonance Imaging Sequences., Johane H. Bracamonte

Theses and Dissertations

Inverse modeling in cardiovascular medicine is a collection of methodologies that can provide non-invasive patient-specific estimations of clinical risk factors using medical imaging as inputs. Its incorporation into clinical practice has the potential to improve diagnosis and treatment planning with low associated risks and costs.

Herein, three different phase contrast magnetic resonance imaging (MRI) modalities were implemented as input data, displacement encoding with stimulated echoes (DENSE MRI) applied, and time-resolved velocity encoding phase-contrast MRI, in 1D and 3D, applied to pulmonary artery (PA) hemodynamics.

A model to account for the effect of periaortic interactions due to static and dynamic structures …

Towards The Systematic Evaluation Of Variable Modes Of Mechanical Conditioning On The Compositional, Microstructural And Mechanical Properties Of Engineered Tissue Vascular Grafts., Sarah Saunders

Theses and Dissertations

Coronary artery bypass surgery (CABG) remains one of the most common cardiac surgical procedures performed worldwide, frequently involving multiple bypasses, and commonly employing the patient’s internal mammary artery, radial artery, or saphenous vein. CABG is often not possible because native vessels were already employed in previous interventions or are diseased themselves. Synthetic vascular grafts are currently integral tools of vascular surgery and have had relative success in large-caliber applications providing substantial benefit to aortic or iliac grafting; however, small diameter (< 6 mm) arterial grafts have not yet translated into clinical effectiveness due to thrombosis and anastomotic intimal hyperplasia. ETVGs present an exciting potential alternative in vascular grafting by offering a blood vessel substitute that could exhibit all the functional characteristics of native vasculature. In addition to relieving supply limitations associated with coronary artery bypass surgery ETVGs are especially ideal for pediatric patients with congenital heart disease who require grafts that grow as they do, eliminating the need for reoccurring invasive surgeries.

Though the role of biomechanics in regulating cellular behavior promoting non-thrombogenicity, vasoactivity, and ECM synthesis and maintenance is well …

Branched Chain Amino Acid Strain State Monitoring With Raman Spectroscopy And Plasmonic Bowtie Nanoantenna Devices For Early Disease Detection, Caroline A. Campbell

Theses and Dissertations

This work centers on the development and the down-selection of nano-manufactured devices to be used in conjunction with Raman spectroscopy for probing a branched chain amino acid. The nano-manufactured devices integrate plasmonic nanoantennas for the purpose of amplifying molecular fingerprints, which are otherwise difficult to detect, through Surface Enhanced Raman Spectroscopy (SERS). Plasmonic nanostructures can be utilized for a variety of biomedical and biochemical applications to detect the characteristic fingerprint provided by Raman Spectroscopy. The nano-manufactured devices create an electric field that amplifies minute perturbations and raises the signal above background noise. This may provide a deeper understanding of signal …

Artificial Intelligence-Powered Chronic Wound Management System: Towards Human Digital Twins, Salih Sarp

Theses and Dissertations

Artificial Intelligence (AI) has witnessed increased application and widespread adoption over the past decade. AI applications to medical images have the potential to assist caregivers in deciding on a proper chronic wound treatment plan by helping them to understand wound and tissue classification and border segmentation, as well as visual image synthesis.

This dissertation explores chronic wound management using AI methods, such as Generative Adversarial Networks (GAN) and Explainable AI (XAI) techniques. The wound images are collected, grouped, and processed. One primary objective of this research is to develop a series of AI models, not only to present the potential …

Effect Of Viscoelasticity On Cellular Morphology And Activity, Thomas J. Petet Jr

Theses and Dissertations

It has been well established that there is a link between substrate stiffness and cellular activities such as proliferation, migration, and differentiation. Less characterized is the link between the time-dependent viscosity of a substrate with those cellular activities. To explore this, PDMS substrates were created with predictably tunable stiffness and viscosity parameters. A simulated model was also developed in parallel to explore the potential effects of viscosity in a computationally predictive way. It was found that the inclusion of viscosity caused a major paradigm shift to a non-zero substrate equilibrium that was sensitive to increases in the substrate stiffness. Finally, …

Development And Optimization Of A Low Volume Air-Jet Dry Powder Inhaler (Dpi) Platform For The Delivery Of High Dose Aerosolized Powder To Infants, Connor Howe

Theses and Dissertations

The goal of this research project was to develop an infant air-jet dry powder inhaler (DPI) platform for high-efficiency nose-to-lung (N2L) aerosol administration to infants through optimization of individual system components followed by expansion of the system to higher doses and different formulations using a new approach. Primary challenges associated with aerosol delivery to infants using the N2L route include the extremely narrow extrathoracic airways, short inspiratory times (~0.2 sec), low safe airway pressure (H₂O), and very low volumes of air (~10 mL) available to form the aerosol. The infant air-jet DPI system was comprised of three main …

Learning Robot Motion From Creative Human Demonstration, Charles C. Dietzel

Theses and Dissertations

This thesis presents a learning from demonstration framework that enables a robot to learn and perform creative motions from human demonstrations in real-time. In order to satisfy all of the functional requirements for the framework, the developed technique is comprised of two modular components, which integrate together to provide the desired functionality. The first component, called Dancing from Demonstration (DfD), is a kinesthetic learning from demonstration technique. This technique is capable of playing back newly learned motions in real-time, as well as combining multiple learned motions together in a configurable way, either to reduce trajectory error or to generate entirely …

Smart City Management Using Machine Learning Techniques, Mostafa Zaman

Theses and Dissertations

In response to the growing urban population, "smart cities" are designed to improve people's quality of life by implementing cutting-edge technologies. The concept of a "smart city" refers to an effort to enhance a city's residents' economic and environmental well-being via implementing a centralized management system. With the use of sensors and actuators, smart cities can collect massive amounts of data, which can improve people's quality of life and design cities' services. Although smart cities contain vast amounts of data, only a percentage is used due to the noise and variety of the data sources. Information and communication technology (ICT) …

Understanding Structure/Process-Property Relationships To Optimize Development Lifecycle In Yttria-Stabilized Zirconia Aerogels For Thermal Management, Rebecca C. Walker

Theses and Dissertations

Aerogels are mesoporous materials with unique properties, including high specific surface area, high porosity, low thermal conductivity, and low density, increasing these materials’ effectiveness in applications such as catalyst supports, sorption media, and electrodes in solid oxide fuel cells. Zirconia (ZrO₂) aerogels have special interest for high-temperature applications due to the high melting point of ZrO₂ (2715°C) and stability between 600°C and 1000°C, where other aerogel systems often begin to sinter and densify. These properties and unique pore structure make zirconia aerogels advantageous as thermal management systems, especially in aeronautics and aerospace applications. However, to be effective …

Collective Action On Behalf Of Women: Testing The Conceptual Distinction Between Traditional Collective Action And Small Acts In College Women, Anca M. Miron, Thomas C. Ball, Nyla R. Branscombe, Monica Fieck, Cristinel Ababei, Serena Raymer, Baylee Tkaczuk, Megan M. Meives

Electrical and Computer Engineering Faculty Research and Publications

The current study examines the nature of actions that U.S. college women (N = 267) engage in to promote, protect, or enhance the welfare of other women. The study had two goals: 1) to distinguish between traditional forms of action (traditional collective action) and more informal, interpersonal, forms of action (small acts) among college women; and 2) to test whether the classic antecedents of collective action (gender identity, feminist identity, women’s activist identity, efficacy, appraisals of gender inequality, and injustice standards) are differentially predictive of these two types of participation. A confirmatory factor analysis provided strong support for these two …

A Comparison Of Two Generalizations To The Linear Sampling Method For Inverse Scattering, Yeasmin Sultana, James E. Richie

Electrical and Computer Engineering Faculty Research and Publications

The linear sampling method (LSM) is a very popular method for determining the boundary of an object from the scattered field. However, there are instances where LSM provides the convex hull of the boundary rather than the true boundary. There are two common generalizations to LSM: the Generalized Linear Sampling Method (GLSM) and the Multipoles-based Linear Sampling Method (MLSM). In this paper, the ability of GLSM and MLSM to overcome some of the deficiencies of LSM are investigated. It is found that GLSM may be ideal for imaging thin features of scatterers and that MLSM can provide an improvement over …

Characterization Of Biochar As A Carbon Regulator In Manure And Environmental Management Applications, Josephine Getz

Doctoral

Biochar is a product of pyrolysis, which is the thermal decomposition of materials at elevated temperatures (300 - 900 °C) in an oxygen-limited atmosphere. Biochar has been recognized as a potentially vital tool to help reduce the climate change impact. It has been used in the agricultural sector as an addition to reduce greenhouse gas emissions in several animal husbandry settings. The application in the animal sector is an important point to reduce the overall amount of greenhouse gases released as this sector produces many greenhouse gases. Though not in every case a reduction of emissions was the result of …

Analysis Of Shared Micromobility Related Crashes: Case Study Of Florida, Enock E. Mwambeleko

UNF Graduate Theses and Dissertations

United States cities have adopted shared micromobility systems to mitigate problems facing the transportation industry. The State of Florida has at least 13 established shared micromobility systems. Identifying the factors influencing the injury severity is critical for improving the safe operations of micromobility devices. This study investigates the leading factors affecting the injury severity for micromobility related crashes in Florida. The study investigates 463 crashes involving e-scooters or e-bikes between 2018 and 2022 in Florida, extracted by the Text-Mining approach from the SignalFour Analytics database. Analyses consisted of exploratory data analysis to discover trends and patterns. First, using the Pedestrian …

Hosting A Community-Based Local Electricity Market In A Residential Network, Aziz Saif, Shafi K. Khadem, Michael Conlon, Brian Norton

Articles

This paper presents the potential of building a local electricity market (LEM) to boost the deployment of the local energy communities, centred around active customers with distributed energy resources (DERs). To conduct a comprehensive and detailed study on different cases with reduced computational burdens, this paper adopts a simplified modelling approach where the market and network model simulations are performed in a cascaded, decoupled fashion. This allows achieving the optimal LEM output for the energy community with different DER assets that are not bounded by the network constraints. The investigation involves quantifying the benefits brought by LEM to energy communities …

Two Mechanisms For Formation Of Ferronematic Phase Studied By Dielectric Spectroscopy, Neelam Yadav, Yuri Panarin, J.K. Vij, Wanhe Jiang, Georg H. Mehl

Articles

A non-chiral ferroelectric nematic compound DIO was studied by dielectric spectroscopy in the frequency range 0.01 Hz to 10 MHz over a wide range of temperatures. The compound exhibits three nematic phases on cooling from the isotropic phase, viz. the ordinary paraelectric nematic N; intermediate nematic NX and ferroelectric NF phases. The lower frequency relaxation process P1 is similar to those observed in other ferronematic compounds. It is a continuation of the molecular flip-flop mode in the isotropic phase and corresponds to the collective movement of dipoles which are strongly coupled with splay fluctuations in the nematic phases. In addition …