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Assessing The Impact Of Block-Selective Homopolymers On The Diffusion Of Payload Through Polymeric Organogels, Ian Coates

Honors Theses

Styrenic polymer gels have received recent attention for their application in transdermal patches due to their unique properties. Previous research in the pharmaceutical industry has identified that polymeric gels, specifically styrenic gels, have the potential to encompass multiple functions of the transdermal delivery patch including controlling mechanical and delivery properties. To tailor styrenic gels either the gel nanostructure or the drug complex can be controlled. Specifically, this thesis investigated the effect of gel nanostructure in an attempt to control the gel diffusivity and mechanical properties. To control gel nanostructure a phase selective styrene homopolymer was used at varying concentrations. It …

Determination Of Hydrogel Degradation By Passive Mechanical Testing, Avery Rosh-Gorsky

Honors Theses

This paper details a new technique to measure the mechanical properties of ETTMP PEGDA hydrogels using Hertz Contact Theory and simultaneously analyze both the model drug release and gel erosion in situ. This method involves curing a drug loaded hydrogel in a standard cuvette and placing a glass bead and phosphate buffer solution (PBS). Over time, the cross-linked network of the hydrogel breaks down, and, as a result, the ball sinks into the hydrogel. This method provides a macroscopic and inexpensive way to continuously and passively measure properties of the hydrogel as the hydrogel degrades. By plotting both the …

Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Ieee Access Special Section Editorial: Trends And Advances In Bio-Inspired Image-Based Deep Learning Methodologies And Applications, Peter Peer, Carlos M. Travieso-Gonzalez, Vijayan K. Asari, Malay Kishore Dutta

Electrical and Computer Engineering Faculty Publications

Many of the technological advances we enjoy today have been inspired by biological systems due to their ease of operation and outstanding efficiency. Designing technological solutions based on biological inspiration has become a cornerstone of research in a variety of areas ranging from control theory and optimization to computer vision, machine learning, and artificial intelligence. Especially in the latter few areas, biologically relevant solutions are becoming increasingly important as we look for new ways to make artificial systems more efficient, intelligent, and overall effective.

Index-Based Approach With Remote Sensing For The Assessment Of Extreme Weather Impact On Watershed Vegetation Dynamics, Kushan Bellanthudawage

Electronic Theses and Dissertations, 2020-2023

Spatial technologies such as satellite remote sensing can be used to identify vegetation dynamics over space and time, which play a critical role in earth observations. Biophysical and biochemical features associated with vegetation cover can then be used to elucidate climate change impact such as floods and droughts on ecosystem that may in turn affect watershed-scale water resources management. Unlike single flood or drought event, intermittent extreme weather events may exert more physiological and biological pressures on the canopy vegetation. This study aims to investigate the climate change impacts on canopy vegetation, which occurred from March 2017 to October 2017 …

Identifying The Links Between Mental Frameworks, Context Features, And Driver Attention In Complete Streets Environments, Patricia Tice

Electronic Theses and Dissertations, 2020-2023

Complete street systems integrate a wide range of users in the same space, with unequal risks and responsibilities. This makes driver attention a critical factor in assuring the safety of vulnerable users. The Conditioned Anticipation of People psychological model of driver attention proposes that drivers reflexively reengage their metacognitive processes when they anticipate visually interacting with the human face or form due to the neurological priority that the brain places on human recognition. To test this model, an eye-tracking tabulation was generated from the SHRP2 Naturalistic Driving Study that measured midsegment percent of time on-task and multitasking behavior for 200 …

การพยากรณ์ปริมาณและความเข้มข้นสารฟลอกคูแลต์ในกระบวนการพักใสสำหรับอุตสาหกรรมการผลิตน้ำตาลจากอ้อย, สิงหดิศร์ จันทรักษ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

กระบวนการพักใสเป็นกระบวนการที่สำคัญในกระบวนการผลิตน้ำตาล ซึ่งกระบวนการมีการทำงานเพื่อแยกระหว่างตะกอนกับน้ำอ้อยออกจากกันโดยใช้สารฟลอกคูแลนต์ โดยในการใส่ปริมาณและความเข้มข้นสารฟลอกคูแลนต์ลงไปในน้ำอ้อยทำให้ส่งผลกระทบโดยตรงต่อความเร็วการตกตะกอนและค่าความขุ่นของน้ำอ้อย วิทยานิพนธ์เล่มนี้เสนอวิธีการพยากรณ์ปริมาณและความเข้มข้นสารฟลอกคูแลต์ในกระบวนการพักใสสำหรับอุตสาหกรรมการผลิตน้ำตาลจากอ้อย โดยใช้โครงข่ายประสาทเทียมแบบวนซ้ำชนิดพิเศษ Long Short-Term Memory โดยข้อมูลที่นำมาใช้เป็นข้อมูลขาเข้าสำหรับการสร้างโมเดลได้แก่ ปริมาณอ้อยสด, ปริมาณอ้อยเผา, ความขุ่นของน้ำอ้อย และปริมาณน้ำฝน และข้อมูลขาออกได้แก่ ปริมาณและความเข้มข้นของสารฟลอกคูแลนต์ ทั้งนี้ข้อมูลที่ได้นำมาจากโรงงานผลิตน้ำตาลแห่งหนึ่งในประเทศไทย ผลการทดลองแสดงให้เห็นถึงประสิทธิภาพของโมเดลที่ได้นำเสนอ LSTM โดยการเปรียบเทียบกับโมเดลอื่นๆ ได้แก่ Autoregressive Integrated Moving Average (ARIMA), Recurrent Neural Network (RNN) และ Gated Recurrent Unit (GRU) โดยใช้ตัวแปร RMSE และ MAPE เป็นตัววัดประสิทธิภาพของโมเดล พบว่าโมเดลที่นำเสนอมีประสิทธิภาพที่สุดในการพยากรณ์ปริมาณและความเข้มข้นของสารฟลอกคูแลนต์

Hygrothermal Ageing Behavior And Mechanism Of Carbon Nanofibers Modified Flax Fiber-Reinforced Epoxy Laminates, Yanlei Wang, Wanxin Zhu, Baolin Wan, Ziping Meng, Baoguo Han

Civil and Environmental Engineering Faculty Research and Publications

This study investigated the effects of carbon nanofibers (CNFs) content on hygrothermal ageing behaviors and mechanisms of flax fiber-reinforced epoxy (FFRE) laminates. CNFs/FFRE laminates containing 0.25–2.0 wt% CNFs were fabricated and immersed in distilled water for 180 days. Water absorption and tensile as well as thermodynamic properties were investigated. The research results showed that CNFs played a significant role in the improvement of hygrothermal properties of FFRE laminates. The water uptake of CNFs/FFRE laminates was significantly decreased because CNFs improved water barrier properties of the laminates. The improvements of tensile and thermodynamic properties of CNFs/FFRE laminates were attributed to the …

A Two-Level Information Modelling Translation Methodology And Framework To Achieve Semantic Interoperability In Constrained Geoobservational Sensor Systems, Paul Stacey

Doctoral

As geographical observational data capture, storage and sharing technologies such as in situ remote monitoring systems and spatial data infrastructures evolve, the vision of a Digital Earth, first articulated by Al Gore in 1998 is getting ever closer. However, there are still many challenges and open research questions. For example, data quality, provenance and heterogeneity remain an issue due to the complexity of geo-spatial data and information representation.

Observational data are often inadequately semantically enriched by geo-observational information systems or spatial data infrastructures and so they often do not fully capture the true meaning of the associated datasets. Furthermore, data …

Position-Scanning Peptide Libraries As Particle Immunogens For Improving Cd8+ T-Cell Responses, Michael C. Vega

Faculty Articles, Papers, and Other Scholarship

Short peptides reflecting major histocompatibility complex (MHC) class I (MHC-I) epitopes frequently lack sufficient immunogenicity to induce robust antigen (Ag)-specific CD8⁺ T cell responses. In the current work, it is demonstrated that position-scanning peptide libraries themselves can serve as improved immunogens, inducing Ag-specific CD8⁺ T cells with greater frequency and function than the wild-type epitope. The approach involves displaying the entire position-scanning library onto immunogenic nanoliposomes. Each library contains the MHC-I epitope with a single randomized position. When a recently identified MHC-I epitope in the glycoprotein gp70 envelope protein of murine leukemia virus (MuLV) is assessed, only one …

Feature Fusion Of Raman Chemical Imaging And Digital Histopathology Using Machine Learning For Prostate Cancer Detection, Trevor Doherty, Susan Mckeever, Nebras Al-Attar, Tiarnán Murphy, Claudia Aura, Arman Rahman, Amanda O'Neill,, Stephen P. Finn, Elaine Kay, William M. Gallagher, William G. Watson, Aoife Gowen, Patrick Jackman

Articles

The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations, leading to the over diagnosis and treatment of non-clinically important disease. Accurate diagnosis can directly benefit a patient’s quality of life and prognosis. Towards addressing this issue, we present a learning model for the automatic identification of prostate cancer. While many prostate cancer studies have adopted Raman spectroscopy approaches, none have utilised the combination of Raman Chemical Imaging (RCI) and other imaging modalities. This study uses multimodal images formed from stained Digital Histopathology (DP) and unstained RCI. The approach was developed and tested on a set …

Multi-Level Analysis Of Atomic Layer Deposition Barrier Coatings On Additively Manufactured Plastics For High Vacuum Applications, Nupur Bihari

Dissertations, Master's Theses and Master's Reports

While hardware innovations in micro/nano electronics and photonics are heavily patented, the rise of the open-source movement has significantly shifted focus to the importance of obtaining low-cost, functional and easily modifiable research equipment. This thesis provides a foundation of open source development of equipment to aid in the micro/nano electronics and photonics fields.

First, the massive acceptance of the open source Arduino microcontroller has aided in the development of control systems with a wide variety of uses. Here it is used for the development of an open-source dual axis gimbal system. This system is used to characterize optoelectronic properties of …

Development Of Bio-Based Nanocomposites For Biosensor And Indicator Applications In Smart Food Packaging, Abdus Sobhan

Electronic Theses and Dissertations

Smart food packaging based on biosensors has been attracting more and more interest to the industrial community because of the concerns of food quality and safety. A food packaging with biosensor has a scope to enable real-time monitoring of microbial breakdown products of packaged foods. Furthermore, one of the biggest challenges in implementing biosensor for smart packaging materials is the development of bio-sensing active materials that can leverage their electrical, thermal, biodegradable and other functional properties. In this regard, nanocellulose-based activated carbon (NAC) nanocomposite was developed using the activated carbon and nanocellulose gel using the casting method with their different …

Advanced Raman Spectroscopy Detection Of Oxidative Damage In Nucleic Acid Bases: Probing Chemical Changes And Intermolecular Interactions In Guanosine At Ultralow Concentration, Francesca Ripanti, Claudia Fasolato, Flavia Mazzarda, Simonetta Palleschi, Marina Ceccarini, Chunchun Li, Margherita Bignami, Enrico Bodo, Steven E.J. Bell, Filomena Mazzei, Paolo Postorino

Bioelectrics Publications

DNA/RNA synthesis precursors are especially vulnerable to damage induced by reactive oxygen species occurring following oxidative stress. Guanosine triphosphates are the prevalent oxidized nucleotides, which can be misincorporated during replication, leading to mutations and cell death. Here, we present a novel method based on micro-Raman spectroscopy, combined with ab initio calculations, for the identification, detection, and quantification of oxidized nucleotides at low concentration. We also show that the Raman signature in the terahertz spectral range (<100 >cm(-1)) contains information on the intermolecular assembly of guanine in tetrads, which allows us to further boost the oxidative damage detection limit. Eventually, we …

Rania: A Framework For A Modular, Voice Enabled, Gerontechnology-Centric, Smart-Home System, Emily Francis

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the United States, the proportion of senior citizens is expected to rise significantly over the next few decades. This increasing number of senior citizens combined with the increasing demand for at home healthcare workers is putting a strain on the elderly healthcare system. Smart-home healthcare technology { such as smart medication dispensers, fall detection systems, smart pantry systems, etc. { has the potential to alleviate this strain on the elderly healthcare system. Smart devices can give an individual more autonomized and personalized surveillance of their health and well-being. While these devices are beneficial as standalone devices, they would be …

Weed Recognition In Agriculture: A Mask R-Cnn Approach, Sruthi Keerthi Valicharla

Graduate Theses, Dissertations, and Problem Reports (ETD)

Recent interdisciplinary collaboration on deep learning has led to a growing interest in its application in the agriculture domain. Weed control and management are some of the crucial tasks in agriculture to maintain high crop productivity. The inception phase of weed control and management is to successfully recognize the weed plants, followed by providing a suitable management plan. Due to the complexities in agriculture images, such as similar colour and texture, we need to incorporate a deep neural network that uses pixel-wise grouping for identifying the plant species. In this thesis, we analysed the performance of one of the most …

Effects Of Changes In Land Use Land Cover And Climate On Long-Term Total Dissolved Solids Trends In The Mid-Atlantic Region Of The United States, Melaine Edouard Kolimedje

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Mid-Atlantic region (MAR) of the U.S. is subjected to a variety of stressors that affect the headwaters of the major rivers. Some of these stressors are abandoned mine drainage, agriculture, municipal point sources, urban areas, out-of-basin diversions, competing water uses, rapid population growths in the lowlands, alterations in water availability due to climate change and habitat alteration. In addition to these regional stressors, the rapid population growths and energy sources shifting have resulted in changes in land use and land cover (LULC) over the last few decades. The interactive effects of LULC and interannual/long-term climate changes have resulted in …

Increasing The Seebeck Coefficient Of Thermoelectric Calcium Cobaltite Ceramics Through Incorporation Of Rare-Earth Elements, Andre Fabian Fernandes

Graduate Theses, Dissertations, and Problem Reports (ETD)

The demand for alternative sources of energy continues to grow, so it is essential to look for alternatives that are environmentally sustainable to minimize the environmental impact of energy generation. Projections suggest that renewables have the potential to make up over fifty percent of power generation by 2035. Studies have shown that in 2020 more than 62% of the energy produced in the US was lost, with most of this energy being in the form of waste heat. Waste heat can be utilized to improve the efficiency of power production or even power other devices. This waste heat can be …

Telelocomotion—Remotely Operated Legged Robots, Kevin Huang, Divas Subedi, Rahul Mitra, Isabella Yung, Kirkland Boyd, Edwin Aldrich, Digesh Chitrakar

Engineering: Faculty Publications

Teleoperated systems enable human control of robotic proxies and are particularly amenable to inaccessible environments unsuitable for autonomy. Examples include emergency response, underwater manipulation, and robot assisted minimally invasive surgery. However, teleoperation architectures have been predominantly employed in manipulation tasks, and are thus only useful when the robot is within reach of the task. This work introduces the idea of extending teleoperation to enable online human remote control of legged robots, or telelocomotion, to traverse challenging terrain. Traversing unpredictable terrain remains a challenge for autonomous legged locomotion, as demonstrated by robots commonly falling in high-profile robotics contests. Telelocomotion can reduce …

Development And Characterization Of Nb₃N/Al₂0₃ Superconducting Multilayers For Particle Accelerators, Chris Sundahl, Junki Makita, Paul B. Welander, Yi-Feng Su, Fumitake Kametani, Lin Xie, Huimin Zhang, Lian Li, Alex Gurevich, Chang-Beom Eom

Physics Faculty Publications

Superconducting radio-frequency (SRF) resonator cavities provide extremely high quality factors > 10¹⁰ at 1-2 GHz and 2 K in large linear accelerators of high-energy particles. The maximum accelerating field of SRF cavities is limited by penetration of vortices into the superconductor. Present state-of-the-art Nb cavities can withstand up to 50 MV/m accelerating gradients and magnetic fields of 200-240 mT which destroy the low-dissipative Meissner state. Achieving higher accelerating gradients requires superconductors with higher thermodynamic critical fields, of which Nb₃Sn has emerged as a leading material for the next generation accelerators. To overcome the problem of low vortex penetration …

Ecg Monitoring In Athletes, Jalal Jwayyed, Kelly Purgason, Joseph Linder, Annamarie Alfery, Silvia Furman

Williams Honors College, Honors Research Projects

Athletes and medical personnel need reliable methods to monitor vital signs and detect potentially life-threatening issues before they occur. Electrocardiograph (ECG) monitors are currently the best method of detecting heart-related health issues. Current ECG monitors worn by athletes are difficult to use and lack the ability to track ECGs in real time. Through research and interviews with various clinicians, further problems have been identified that include poor electrode adhesion, and a lack of compatibility with the equipment worn by athletes. Our team proposes to develop solutions that will improve performance and comfort associated with ECG monitors for athletic applications. This …

Ping Pong Ball Collecting Robot, Gina Lanese, Jason Colonna, Sarah Kuchcinski, Johndavid Rogers

Williams Honors College, Honors Research Projects

The ping pong ball collecting robot will collect ping pong balls in a ping pong arena, such as after a game or practice session. Ball collection is now typically done by a human, collecting the balls either by hand or with a net. A robot, autonomously collecting the ping pong balls from the floor, would allow for the time spent playing or practicing to be maximized. The team will design the software and hardware for the robot, including the mechanical system, the software, and circuit boards. This robot will serve as a capstone project for the senior design team consisting …

Design And Implementation Of Fully Integrated Cmos On-Chip Bandpass Filter With Wideband High-Gain Low Noise Amplifier, Yu Wang

Browse all Theses and Dissertations

Current trends of fully integrated CMOS on-chip bandpass filter are classified into 1) the component level (i.e., active inductor, Q-enhanced passive inductor, negative resistance cancellation), and 2) the circuit level (i.e., adding transmission zeros on stopband, applying the zigzag technique for fewer inductors, superposition of different resonators). The demand for monolithic designs for portable devices attracts market interest in a fully integrated CMOS on-chip bandpass filter. Optimized minimal inductors (OMI) bandpass filter is a good platform for use in both active and passive bandpass filters, mainly because 1) it provides good stopband rejection for high interface attenuation, and 2) the …

Sample Mislabeling Detection And Correction In Bioinformatics Experimental Data, Soon Jye Kho

Browse all Theses and Dissertations

Sample mislabeling or incorrect annotation has been a long-standing problem in biomedical research and contributes to irreproducible results and invalid conclusions. These problems are especially prevalent in multi-omics studies in which a large set of biological samples are characterized by multiple types of omics platforms at different times or different labs. While multi-omics studies have demonstrated tremendous value in understanding disease biology and improving patient outcomes, the complexity of these studies may increase opportunities for human error. Fortunately, the interrelated nature of the data collected in multi-omics studies can be exploited to facilitate the identification and, in some cases, correction …

Augmenting Structure/Function Relationship Analysis With Deep Learning For The Classification Of Psychoactive Drug Activity At Class A G Protein-Coupled Receptors, Hannah Willow Shows

Browse all Theses and Dissertations

G protein-coupled receptors (GPCRs) initiate intracellular signaling pathways via interaction with external stimuli. [1-5] Despite sharing similar structure and cellular mechanism, GPCRs participate in a uniquely broad range of physiological functions. [6] Due to the size and functional diversity of the GPCR family, these receptors are a major focus for pharmacological applications. [1,7] Current state-of-the-art pharmacology and toxicology research strategies rely on computational methods to efficiently design highly selective, low toxicity compounds. [9], [10] GPCR-targeting therapeutics are associated with low selectivity resulting in increased risk of adverse effects and toxicity. Psychoactive drugs that are active at Class A GPCRs used …

The Regulation Of Small Gtpase Rac1 Phosphorylation, Activation And Subcellular Localization By Δnp63Α, Amjad Ahmed Aljagthmi

Browse all Theses and Dissertations

ΔNp63α, a member of the p53 family of transcription factors, plays a critical role in normal development and human disease. Loss of ΔNp63α expression is associated with increased cancer invasiveness and metastasis. The small GTPase Rac1 is a master regulator of cell motility, and increased Rac1 activity upregulates cell invasion in multiple human cancers. Increased cancer cell invasion associated with ΔNp63α knockdown and Rac1 activation suggests a novel mechanism by which ΔNp63α regulates tumor invasiveness through Rac1. Accordingly, we sought to delineate the effects of ΔNp63α on Rac1 phosphorylation, activation and subcellular localization. We identified a novel ΔNp63α/miR-320a/PKCᵧ signaling pathway …

Minimally Invasive Repair Of Elongated Chordae Tendineae In The Mitral Valve, Walid Abuhashim, Diana Albaba, Austin Ghiates, Rebecca Leiter, Mary Robakowski

Williams Honors College, Honors Research Projects

In the United States, about 4 million people have been estimated to suffer from severe mitral valve regurgitation [5]. Due to the high risks involved, about half of those patients are ineligible for surgery to repair the valve, because of their poor health [6]. Elongation of the chordae tendineae has been found to be one of the significant causes of regurgitation. To address this, the team has developed a device called “Chord Fastener”, which will restore proper function to the valve via shortening of the chordae tendineae [1]. Via this shortening mechanism, the device will reduce mitral valve regurgitation and …

The Course Scheduling Problem With Room Considerations, Lijian Xiao

Browse all Theses and Dissertations

The course scheduling problem (CSP), more commonly referred to as the university timetabling problem, belongs to the larger family of general scheduling problems, where the aim is to assign students, faculties, exams, or lectures to a limited number of rooms over time in accordance under real-world constraints. Such problems are known to be NP-complete and have been the subject of study for the optimization society for many decades. This research extends the classical CSP to the CSP with Room Considerations (CSP-R) by incorporating two room-related considerations; cohort-to-room preference and topic-to-room preference. While the former refers to students in each cohort …

Integrating Online Discussions Into Engineering Curriculum To Endorse Interdisciplinary Viewpoints, Promote Authentic Learning, And Improve Information Literacy, Lisa Bosman, Kurt Paterson, Margaret Phillips

Libraries Faculty and Staff Scholarship and Research

Engineering is very much an applied discipline where math and science concepts, skills, and tools can be used to design products or processes with new and/or increased value. Research suggests active learning is an effective method for teaching and learning in the engineering classroom. Moreover, students continue to express increased satisfaction when taught using this experiential pedagogical approach. One approach to active learning gaining traction in the engineering classroom is the use of online discussions. The purpose of this paper is to offer a structured approach for engineering educators to develop online discussion prompts aimed to prepare engineering students for …

Gene Gun Research Project, Victoria Wargo, Eid Alolayan, Joseph Bader, Feras Alyamani, Connor Nagelkirk

Williams Honors College, Honors Research Projects

The motivation behind this project is to design or improve a cheaper gene gun that can help the world. The goal is to design a new low-cost gene delivery system that will allow Dr. Mahajan and University of Akron students conduct new research, with the aim of advancing society in many different fields. A few examples would be improving crops resistances to insects or harsh weather. This could happen by altering their genes to repulse insects or have stronger bases to have better resistance to the wind. In the medical world you could use gene therapy to help fight cancer …