Digital Commons Network^™

Extraction/Transportation Of Co2+ Metal Ions With Bis(2-Ethylhexyl) Phosphate Dissolved In Kerosene Using A Multidropped Liquid Membrane Technique, Volkan Demi̇rel, Ramazan Donat

Turkish Journal of Chemistry

The transport properties of Co2+ ions from the aqueous donor phase to aqueous acceptor phase with the recently developed multidroplet liquid membrane (MDLM) extraction system were studied. This system serves as a continuous process for the transportation of ions and requires fewer reagents for starting and conducting the procedure. Moreover, the procedure results in fewer waste chemicals and mixtures in comparison to traditional extraction methods. During extraction, bis(2-ethylhexyl) phosphate (D2EHPA) was used as a carrier material and 5% potassium thiocyanate (KSCN) solution was used to obtain a colored complex for UV-Vis detection. By means of several experiments, the optimum D2EHPA …

Sustainable Graphitic Carbon From Biomass To Be Suitable For Technological Devices, Gökçen Akgül

Turkish Journal of Chemistry

Technological devices are mostly manufactured by conductive and semiconductive materials. As advancement in the last decades, carbon nanomaterials have been explored in electrical/electronic technology due to their unique performances for manufacturing developing, and prudential miniaturized and flexible electrical/electronic devices. In the era of sustainable and clean carbon technology; renewable, alternative, biodegradable, and eco-friendly new carbon resources are required. Biomass could be the answer to offer inspiring carbon allotropes from nature to be suitable for developing electrical/electronic devices. In this article, deriving of the technological carbonaceous material from biomass, studies although they are very limited in the literature on obtaining the …

Removal Of Toxic Cr(Vi) From Aqueous Medium With Effective Magnetic Carbon-Based Nanocomposites, Ferda Ci̇van Çavuşoğlu, Gülsüm Özçeli̇k, Şahi̇ka Sena Bayazi̇t

Turkish Journal of Chemistry

Cr(VI), which has toxic effects, is a heavy metal and it must be removed from the environment due to the various damages it causes. In this study, the removal of Cr(VI) pollutants from aqueous solutions with Fe3O4-based materials using a batch adsorption technique was investigated. Magnetically modified graphene nanoplatelet (GNP)-based nanocomposites were prepared and their structures were characterized by FTIR, XRD, SEM, BET, and TGA techniques. The effects of various physicochemical parameters such as adsorbent dose, contact time, initial Cr(VI) solution concentration, pH, and the presence of coexisting ions (NaCl) on the adsorption process were investigated. Accordingly, the optimum conditions …

Production Of Gelatin Fibrous Mats Using Different Nanofiber Production Methods For Medical Applications And Comparison Of Their Properties, Melike Güngör, Kevser Sağlamkol, Zeynep Yağmur Baydemi̇r, Ali̇ Kiliç

Turkish Journal of Chemistry

In the literature, there are studies on medical applications using different nanofiber production methods with natural polymers. However, each system has different fiber-forming capabilities. For this reason, in this study, we investigated the production of nanofibers from a biodegradable natural polymer, gelatin, using four separate nanofiber production methods, namely electrospinning (ES), electroblowing (EB), solution blowing (SB), and centrifugal spinning (CS). Our aim was to determine the most suitable fibrous web structure for medical applications and contribute to science in this respect. It was observed that the thinnest fibers (386 nm) and the heaviest mats (15.975 g m–2) were produced by …

Ph Responsive Curcumin Released From Urea-Amine Group Functionalized Mesoporous Organosilica Nanoparticles, Osman Tayyar Arli, Yaşar Gök, Hali̇l Zeki̇ Gök

Turkish Journal of Chemistry

Studies on natural products with anticancer properties have gained more importance in recent years in order to not damage healthy tissues during cancer treatments or to perform the treatment causing the least damage. Curcumin is a common natural product with anticancer properties, but its low solubility, instability, and bioavailability have limited its use in clinical applications in cancer research. As a proposed solution to this problem, a new mesoporous organosilica nanocarrier (MON-A) functionalized with a 1,2-diphenylethane-1,2-diamine structure capable of pH-controlled release was prepared in this study. MON-A was characterized by TGA, BET, XRD, FT-IR, and SEM-EDS analyses. Dispersion of MON-A …

Exploring The Population Dynamics Of Waterfowl Hunters Using A Mark‐Recapture Approach, Katherine A. Graham, Mark P. Vrtiska, Dale D. Humburg, Larkin A. Powell, Andrew H. Raedeke, Patrick K. Devers, Christopher J. Chizinski

School of Natural Resources: Faculty Publications

The number of waterfowl hunters in the United States has declined since the 1980s despite relatively abundant waterfowl populations and liberal hunting regulations. Programs focused on recruiting, retaining, and reactivating (R3) waterfowl hunters have become important to avoid further losses in traditional revenue for habitat management and protection and political support for waterfowl conservation and management. We focus on 4 waterfowl hunter population vital rates (i.e., recruitment rate, retention probability, license purchase probability, realized population growth rate), which can be used to improve the effectiveness of waterfowl hunter R3 activities and initiatives by providing a deeper understanding of waterfowl hunter …

Numerical Study Of Owls' Leading-Edge Serrations, Asif Shahriar Nafi, Nikolaos Beratlis, Elias Balaras, Roi Gurka

Physics and Engineering Science

Owls' silent flight is commonly attributed to their special wing morphology combined with wingbeat kinematics. One of these special morphological features is known as the leading-edge serrations: rigid miniature hook-like patterns found at the primaries of the wings' leading-edge. It has been hypothesized that leading-edge serrations function as a passive flow control mechanism, impacting the aerodynamic performance. To elucidate the flow physics associated with owls' leading-edge serrations, we investigate the flow-field characteristic around a barn owl wing with serrated leading-edge geometry positioned at 20° angle of attack for a Reynolds number of 40 000. We use direct numerical simulations, where …

Oregon State Rank Assessment For Pit Roach (Hesperoleucus Mitrulus), Misty Nelson

Institute for Natural Resources Publications

Oregon state conservation status assessment for pit roach (Hesperoleucus mitrulus) using NatureServe methodology, 2023.

The Fineview Dataset: A 3d Scanned Multi-View Object Dataset Of Fine-Grained Category Instances, Suguru Onda

Theses and Dissertations

In the past decade state-of-the-art deep learning models have shown impressive performance in many computer vision tasks by learning from large and diverse image datasets. Most of these datasets consist of web-scraped image collections. This approach, however, makes it very challenging to obtain desirable data such as multiple views of the same object, 3D geometric information, or camera parameters for a large-scale image dataset. In this paper, we propose a 3D-scanned multi-view 2D image dataset of fine-grained category instances with accurate camera calibration parameters. We describe our bi-directional, multi-camera and 3D scanning system and the data collection pipeline. Our target …

Community Resilience And Creating Capacities For Risk Reduction In First Nations Communities, Case Study In Minegoziibe Anishinabe (Pine Creek First Nation), Brittany S. Lavallee

Capstone Collection

The colonization of Indigenous peoples in Canada has serious consequences on First Nations, including forced removal and displacement from their ancestral lands, environmental degradation, declining resources and capacities, and human rights violations. First Nations communities are currently facing the amplified effects of human-driven climate change. Sustainability of the environment is not just a concept, but a practiced way of life, that recognizes the interdependence of all living things. This deep respect for Aki (earth) is at the foundation of First Nations cultures and continues to guide their actions to insure better futures for Seven Generations. The community of Minegoziibe Anishinabe …

Variables Affecting The Extraction Of Antioxidants In Cold And Hot Brew Coffee: A Review, Brian Yust, Frank Wilkinson, Niny Rao

College of Life Sciences Faculty Papers

Coffee beans are a readily available, abundant source of antioxidants used worldwide. With the increasing interest in and consumption of coffee beverages globally, research into the production, preparation, and chemical profile of coffee has also increased in recent years. A wide range of variables such as roasting temperature, coffee grind size, brewing temperature, and brewing duration can have a significant impact on the extractable antioxidant content of coffee products. While there is no single standard method for measuring all of the antioxidants found in coffee, multiple methods which introduce the coffee product to a target molecule or reagent can be …

The Role Of Colony Morphology And Substratum Inclination On The Distribution Of Eunicella Verrucosa On Shallow Reefs, Luke Thompson

The Plymouth Student Scientist

Eunicella verrucosa plays an important role in shallow reefs, where they produce a complex 'sheet tree' morphology that supports a variety of benthic-dwelling organisms. E. verrucosa is considered 'vulnerable' by the IUCN Red List, which validates the importance of understanding the biotic and abiotic factors influencing the species morphology and survival. This study analyses how horizontal and vertical slope inclinations influence colony morphology. A population of 115 E. verrucosa colonies were observed at Plymouth's inner breakwater fort at 8–13.8m in depth. The influence of inclination on morphology was investigated by observing colony height, encrusting branch diameter and branch complexity for …

Conception On Asian Elephant Ecological Corridor Planning With Implications For Conservation, Xueyou Li, Qiupeng Yu, Zhechang Hu, Xuelong Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In order to practice the concept of coordinated development of “Lucid Waters and Lush Mountains are Invaluable Assets” and “mountains, rivers, forests, farmlands, lakes, grasslands and deserts are part of the community of life”, this study takes “pursuing green development and promoting harmony between humanity and nature” proposed in the report of the 20th National Congress of the Communist Party of China as the theoretical guidance. With the goal of enhancing ecosystem integrity and connectivity, enhancing population communication, enhancing population viability, and providing a model for the construction of ecological corridors for flagship species, based on the current distribution and …

Scenario Simulation Of “35 Goals” And “50 Vision” For Beautiful China Initiative, Huiyi Zhu, Linsheng Yang, Wei Qi, Erqi Xu, Jiewei Chen, Quansheng Ge

Bulletin of Chinese Academy of Sciences (Chinese Version)

Realizing the Beautiful China Initiative is the general goal of China’s ecological civilization construction in the next 30 years. The overall goal includes two phased goals: “35 goals” and “50 vision”. This study first expounds the understanding of the goal from the aspects of ecosystem elements, structure, process, and function, and then constructs an index system to describe the goal and simulates the “35 goals” and “50 vision” under the trend of climate change, population decline and economic growth. The results show that, by 2035, China will have a population of 1.44 billion (including Hong Kong, Macao, and Taiwan) and …

Developing Characteristic Resource Plants To Build A Beautiful China, Lei Shi, Zheng'an Liu, Lijun Wang, Qingyan Shu, Meiyu Sun, Wei Duan, Hui Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

It is an important way to solve the contradiction among ecology, production and life in natural protected areas and ecologically fragile region by constructing the three-production integration mode of characteristic resource plants. In order to fully tap and make use of the outstanding characteristics of oil tree peony, wine grape and aromatic plants, this study carried out technology integration of variety screening, planting, harvesting, processing, product research and development, and industrialization demonstration in and around natural protected areas and ecologically fragile region. Through the economic benefits generated, the life of the people in the natural protected areas and ecologically fragile …

Control Of Invasive Plant Spartina Alterniflora: Concept, Technology And Practice, Baohua Xie, Guangxuan Han

Bulletin of Chinese Academy of Sciences (Chinese Version)

Alien Species Spartina alterniflora occupy the living space of native animals and plants, and lead to the reduction of biodiversity in the intertidal zone and wetland ecological service functions. Therefore, it is urgent to curb the rapid expansion of S. alterniflora in China’s coastal areas. This paper introduced the invasion situation and main ecological hazards of S. alterniflora in China, as well as put forward the concept of S. alterniflora control of “hazard assessment – zoning control – monitoring and early warning”. We summarized the control technologies of S. alterniflora at home and abroad and the current situation of S. …

Lipid Membrane Self-Assembly And Synthesis In The Lab By Rapid, Low-Cost Microfluidics Approaches, Kathleen Hardwick, Shane O'Reilly

SURE Journal: Science Undergraduate Research Experience Journal

Lipid membranes, which self-assemble in nature and under laboratory conditions, can form vesicles called liposomes. The main uses for liposomes are in drug delivery systems and as animal cell models. From the initial research into lipid membrane science, to the systematic literature review using Web of Science, to refining the project scope, to the description of the method, this project follows the process of developing a method for lipid membrane self-assembly and synthesis in the lab. The result was a rapid prototyping method for fabricating microfluidic devices to test different designs for channels, for use with a liposome synthesis protocol. …

Regulation Of Mirnas In Obesity And Diabetes, Eva Maher, Ava O'Meara, Cathy Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Introduction: The prevalence of obesity and obesity-related secondary disorders has increased dramatically in recent years. Dysregulated microRNA (miRNA) expression has been linked to the development of obesity and its associated disorders. Adipose derived stem cells (ADSCs) are promising cell models of obesity, obesity-related inflammation and diabetes. Furthermore, miRNA expression profiles have emerged as promising targets for the novel treatment of diseases such as obesity. In order to enhance miRNA-based therapies, the miRNA expression profile of obesity and its related disorders must be monitored to further understand the underlying mechanisms of obesity and to identify novel targets.

Aim: The aim of …

The Potential Of Stem Cell Therapy In Multiple Sclerosis Treatment: A Review, Sorina Amarculesei, Ava O'Meara Cushen, Cathy Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Multiple Sclerosis is an autoimmune and neurodegenerative disease of the central nervous system. There are currently 2.8 million people living with Multiple Sclerosis worldwide, including 9000 people in Ireland, with a prevalence of 193 per 100,000 people. Symptoms of Multiple Sclerosis include sensory loss, fatigue, cognitive dysfunction, spasticity, depression, optic neuritis, gait ataxia, diplopia, and loss of bladder control. Currently, there is no standardised treatment or cure for Multiple Sclerosis with many strategies focusing on symptoms. Stem cells have emerged as promising approaches for Multiple Sclerosis therapeutics. Clinical trials primarily focus on mesenchymal stem cell-based therapies for Multiple Sclerosis. Furthermore, …

Non-Fungible Tokens (Nfts) - Survey Of Current Applications, Evolution And Future Directions, Qaiser Razi, Aryan Devrani, Harshal Abhyankar, Gss Chalapathi, Vikas Hassija, Mohsen Guizani

Machine Learning Faculty Publications

Non-fungible tokens (NFTs) have become an exciting technology that provides a fresh perspective on asset ownership, provenance, and value exchange. NFTs, a blockchain-based technology, are distinct and indivisible cryptographic tokens used to confirm and record the ownership of digital and physical assets in an immutable and transparent way. The fundamental block of NFT is a smart contract built on a blockchain network. This contract contains specific information about the asset it represents, such as its unique identifier, metadata, and ownership details. The information is kept private and tamper-proof due to the decentralized and distributed structure of the blockchain, boosting faith …

Mechanical Characterization Of Vertically Aligned Carbon Nanotube Forest Microelectrodes For Neural Interfacing, Spencer Mcleod Roberts

Theses and Dissertations

Silicon intracortical microelectrodes arrays (MEA) provide some of the best performance for brain computer interfaces but suffer from lifetime limitations that prevent clinical adoption. A primary contributor of lifetime limitations is the chronic foreign body response (FBR) which remains active in response to the brain tissue strain caused by implanted probes during brain micromotion. Designing probes with softer materials can reduce the chronic FBR and improve device lifetime. A high-aspect ratio CNT MEA could provide several advantages as an intracortical MEA but has yet to be mechanically characterized. CNT MEAs are infiltrated with 3 degrees of carbon infiltration and mechanically …

Dryland Vegetation Mapping Using High Spatial-Temporal Resolution Satellite Imagery In New Mexico: A Comparison Of Phenological Time-Series Transformation Methods, Pratistha Sharma

Geography ETDs

New Mexico's drylands are undergoing notable vegetation changes due to rising aridity, higher temperatures, and shifts in precipitation with changing climate. Mapping drylands through remote sensing is challenging compared to mesic systems due to the irregular patterns of rainfall-driven phenology and weaker vegetation absorption signals. This study aims to enhance vegetation mapping in New Mexico, utilizing a high-resolution, frequently revisited PlanetScope dataset with multispectral capabilities, specifically chosen for its suitability for time-series analysis. The challenge with high spatial and temporal data lies in the overwhelming volume, leading to issues like the curse of dimensionality, overfitting, data redundancy, collinearity, and visualization …

Roadside Lidar Data Processing For Intelligent Transportation System, Md Parvez Mollah

Computer Science ETDs

Roadside LiDAR (Light Detection and Ranging) sensors are recently being explored for Intelligent Transportation System aiming at safer and faster traffic management and vehicular operations. However, massive data volume, occlusion, and limited viewing angles are significant obstacles to the widespread use of roadside LiDARs. In this dissertation, we address three major challenges to enable applications of Intelligent Transportation System through roadside LiDAR data: (i) real-time transmission of the massive point-cloud data from the roadside LiDAR devices to the cloud using 5G network, (ii) mitigating sensor occlusion problem to increase coverage and detect events occurred in occluded regions of a sensor, …

Investigation Of Zinc And Iron In Wildflower Honey, Savannah Simpson

Honors Theses

Honey acts as a valuable food source for both animals and humans. When found in contaminated environments, there is an increased likelihood that honey samples will have high metal concentrations. It has been discovered that honey concentrations in metals can be different based on location. This experiment aims to determine the amount of two valuable metals, zinc, and iron, in various honey sources. These metals can be important to the human body because they help boost immunity and allow the body to carry out the functions required for survival. However, if these elements are present in copious quantities, then it …

Castor Oil Polyol-Based Adhesives With Additional Crosslinker For Improvement In Mechanical And Thermal Properties., Yash Desai

Electronic Theses & Dissertations

Polyurethanes (PU) have been promising polymeric materials with many applications, including adhesives. Projecting an estimated revenue from 42.8 billion $ in 2021 to 61.5 billion $ by 2026. However, a large number of PU adhesives are sourced from petroleum products. Therefore, to lower the dependence on non-renewable resources and provide sustainable and affordable alternatives. In this work will synthesize bio-based adhesives of polyurethane from modified castor oil-based polyol. Generally, polyurethane reaction depends on the properties of polyol and isocyanates. The most important aspect of these reactions is the OH number of the polyol, which is responsible for the crosslinking and …

Targeting Macrophytes: Increased Water Quality Through Optimized Vegetation Considerations For Constructed Wetlands, Austin Mcbrady

Masters Theses (Archived)

This study of constructed wetland design investigated relationships between macrophyte species selection and planting density for water quality improvement. A lab-scale wetland was compared against a pilot-scale wetland in San Antonio, Texas at Mitchell Lake to measure differences in effluent water quality improvement using three native macrophyte species. Using a novel, two-phase method, a targeting macrophyte was identified from among other species based on its marked capability for improving water quality factors, then was planted in varied majority densities to compare differences in treatment effectiveness. The results of this study showed that this complimentary approach to wetland design displayed significant …

Interactive Effects Of Sublethal Concentrations Of Fracking Biocides And Abandoned Mine Drainage On Amphipod Behavior, Kelly Lenhart

Electronic Theses and Dissertations

This thesis examined the sublethal effects of three pollutants, namely glutaraldehyde, 4,4-dimethyloxazolidine (DMO), and abandoned mine drainage (AMD), on amphipods. The primary objective was to investigate their combined effects on amphipods. The three pollutants, despite having the potential to combine in the environment, have not been studied to determine their potential for detrimental interactive effects which could result in unexpected environmental damage.

The research employed a series of experimental setups involving controlled exposure of amphipods to varying, putatively sublethal, concentrations of the chemicals of interest. Subsequently, effects were assessed via both behavioral and feeding assessments. To facilitate this analysis, novel …

Improved Image Recognition Via Synthetic Plants Using 3d Modelling With Stochastic Variations, Chris C. Napier, David M. Cook, Leisa Armstrong, Dean Diepeveen

Research outputs 2022 to 2026

This research extends previous plant modelling using L-systems by means of a novel arrangement comprising synthetic plants and a refined global wheat dataset in combination with a synthetic inference application. The study demonstrates an application with direct recognition of real plant stereotypes, and augmentation via a plant-wide stochastic growth variation structure. The study showed that the automatic annotation and counting of wheat heads using the Global Wheat dataset images provides a time and cost saving over traditional manual approaches and neural networks. This study introduces a novel synthetic inference application using a plant-wide stochastic variation system, resulting in improved structural …

Deep Learning Image Analysis To Isolate And Characterize Different Stages Of S-Phase In Human Cells, Kevin A. Boyd, Rudranil Mitra, John Santerre, Christopher L. Sansam

SMU Data Science Review

Abstract. This research used deep learning for image analysis by isolating and characterizing distinct DNA replication patterns in human cells. By leveraging high-resolution microscopy images of multiple cells stained with 5-Ethynyl-2′-deoxyuridine (EdU), a replication marker, this analysis utilized Convolutional Neural Networks (CNNs) to perform image segmentation and to provide robust and reliable classification results. First multiple cells in a field of focus were identified using a pretrained CNN called Cellpose. After identifying the location of each cell in the image a python script was created to crop out each cell into individual .tif files. After careful annotation, a CNN was …

Differentiation Of Human, Dog, And Cat Hair Fibers Using Dart Tofms And Machine Learning, Laura Ahumada, Erin R. Mcclure-Price, Chad Kwong, Edgard O. Espinoza, John Santerre

SMU Data Science Review

Hair is found in over 90% of crime scenes and has long been analyzed as trace evidence. However, recent reviews of traditional hair fiber analysis techniques, primarily morphological examination, have cast doubt on its reliability. To address these concerns, this study employed machine learning algorithms, specifically Linear Discriminant Analysis (LDA) and Random Forest, on Direct Analysis in Real Time time-of-flight mass spectra collected from human, cat, and dog hair samples. The objective was to develop a chemistry- and statistics-based classification method for unbiased taxonomic identification of hair. The results of the study showed that LDA and Random Forest were highly …