Digital Commons Network^™

Strategies In Time-Based Media Conservation: An Evaluation Of Three Institutional Approaches, Mya Vander Pol

DU Undergraduate Research Journal Archive

Time-based media (TBM) is a category of art in which the works rely on the passage of time and often the integration of technology to convey their artistic concepts and narratives. It encompasses various artistic expressions, including video installations, sound art, performance, and interactive digital works. This diverse array of mediums present distinct challenges to institutions responsible for their storage, preservation, and accessibility. The rapid evolution of technology and the inherent fragility of the media formats make the proper management of time-based media art equipment a critical concern. This paper examines three case studies of time-based media artworks from the …

Passive Mechanical Properties Of Cardiac And Arterial Tissue: A Paired Comparison Study In A Calf Model, Ola Alsaadi, Jieyang Zhang, Masod Sadipour, Ali N. Azadani

DU Undergraduate Research Journal Archive

Purpose: The mechanical behavior of heart tissue plays a crucial role in elucidating cardiac physiology and pathophysiology. Accurate measurement of the mechanical properties of cardiac and arterial tissues is indispensable for advancing computer simulations and developing medical devices. This study aimed to assess the passive mechanical properties of cardiac and arterial tissue in a calf model using a paired comparison method.

Methods: A planar biaxial stretching device was used to determine the mechanical characteristics of 84 square specimens obtained from 14 different anatomical regions. Cauchy stress-Green strain curves were constructed for each anatomical area, and a Fung-type constitutive …

The Rocky Road To Statehood: Colorado Statehood And The Contested Election Of 1876, Matt Bergh, Susan Schulten

DU Undergraduate Research Journal Archive

This thesis will explore Colorado’s path to statehood. It begins with a summary of the election of 1876 to set up the research question: why did Colorado, a Republican-territory, become a state in a critical election year when the Democrats controlled the House of Representatives? Next, it covers the historiography to gain insight into how scholars view Colorado statehood and its relationship to the election of 1876 given that both happened in the same year and that coincidences in politics are rare. A follow up will occur with an explanation of the differences between a state and a territory to …

Caprin1 And Fmr1 Genetically Interact To Regulate The Development Of The Larval Drosophila Neuromuscular Junction, Seraphina Loukas, Scott Barbee

DU Undergraduate Research Journal Archive

Fragile X Syndrome (FXS) is the most prevalent inherited neurodevelopmental disorder and the most common single-gene cause of autism (Richter and Zhao 2021). FXS occurs due to the loss of the Fmr1 gene, and its respective protein, the Fragile X Messenger Ribonucleoprotein (FMRP). FMRP is an RNA-binding protein (RBP) with notable functions in synaptic development.  Given that cellular processes often entail the collaborative actions of multiple proteins acting as binding partners to regulate mRNA metabolism, identifying FMRP's associates is essential for comprehending FXS mechanisms. Caprin1 was identified as a high-confidence interactor via its co-immunoprecipitation with FMRP in an IP/LC experiment …

Dynamic Hydrogel-Metal-Organic Framework System Promotes Bone Regeneration In Periodontitis Through Controlled Drug Delivery, Qipei Luo, Yuxin Yang, Chingchun Ho, Zongtai Li, Weicheng Chiu, Anqi Li, Yulin Dai, Weichang Li, Xinchun Zhang

Faculty, Staff and Student Publications

Periodontitis is a prevalent chronic inflammatory disease, which leads to gradual degradation of alveolar bone. The challenges persist in achieving effective alveolar bone repair due to the unique bacterial microenvironment's impact on immune responses. This study explores a novel approach utilizing Metal-Organic Frameworks (MOFs) (comprising magnesium and gallic acid) for promoting bone regeneration in periodontitis, which focuses on the physiological roles of magnesium ions in bone repair and gallic acid's antioxidant and immunomodulatory properties. However, the dynamic oral environment and irregular periodontal pockets pose challenges for sustained drug delivery. A smart responsive hydrogel system, integrating Carboxymethyl Chitosan (CMCS), Dextran (DEX) …

The Effect Of Total Factor Productivity On The Food Security And Livelihood Vulnerability Of Farm Households In Bangladesh, Paresh Kumar Sarma, Mohammad Jahanghir Alam, Ismat Ara Begum, Adam M. Mckenzie

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Food security and livelihood vulnerability are important issues for the economic sustainability of developing countries like Bangladesh. This study examines the influence of total factor productivity (TFP) on the livelihood vulnerability and food security of rice farming households in Bangladesh. Data from 1,841 rice farming households were extracted from the Bangladesh Integrated Household Survey (2015 and 2018) conducted by the International Food Policy Research Institute. Various statistical methods, such as the stochastic frontier model, principal component analysis, path analysis using structural equation modeling, and multivariate regression, were employed to analyze the data. The study utilizes a multivariate modeling approach that …

Effect Of Sex On The Accumulation Of Hepatic Mercury In Mallards Wintering In Louisiana, Latorya E. Mason

Master's Theses

The increase in mercury production through anthropogenic activities has led to a global crisis of mercury pollution that poses a significant threat to the health of both humans and wildlife. Aquatic ecosystems are especially at risk due to the creation of methylmercury, a toxic form of mercury, by sulfate-reducing bacteria in anoxic sediments and soils. Methylmercury enters the food chain where it bioaccumulates in individual organisms and then biomagnified with increasing trophic level. Aquatic birds are useful bioindicators of many pollutants, including mercury, due to their abundance and position in the food chain. Previous studies have primarily focused on mercury …

Chronic High-Salt Diet Activates Tumor-Initiating Stem Cells Leading To Breast Cancer Proliferation, Lisa Tucker, Umer Ali, Deborah A. Lannigan, Jeffrey C. Rathmell, Venkataswarup Tiriveedhi

Biology Faculty Research

Several chronic inflammatory diseases have been linked to high-salt (HS) diets. Chronic inflammation is an established causative hallmark of cancer. However, a direct role of HS diets in tumorigenesis is yet to be defined. Previous orthotopic murine breast tumor studies have shown that short-term HS diets caused inhibition of tumor growth through the activation of cytotoxic adaptive immune responses. However, there have been experimental challenges in developing a viable chronic HS-diet-based murine tumor model. To address this, we have developed a novel chronic HS diet tumor model through the sequential passaging of tumor cells in mice under HS dietary conditions. …

Impact Of Student Beliefs And Self-Efficacy On Performance In Higher Education Stem Courses, Lauren Nicole Fogg

Doctoral Dissertations

In engineering education, students often face feelings of inadequacy, leading to academic struggles and potential dropout. This dissertation investigates the impact of interactive course materials on students' confidence and self-efficacy in problem-solving, focusing on an Engineering Materials class at Louisiana Tech University. Over four quarters, involving seven sections and 218 students, a 13-question Likert scale survey was administered repeatedly, alongside demographic data and textbook usage surveys. The study aims to compare students’ attitudes and beliefs when not using a textbook versus when using an interactive web-native book. Hypotheses suggest that the interactive book will enhance problem-solving beliefs, confidence, and grades. …

A Glimpse Into The Constructed Wilderness: The Evolving Stories From Bryson, Strayed, And Krakauer, Halston Leigh Belcastro

English Theses, Dissertations, and Student Creative Activity

This thesis examines how humans have constructed the idea of wilderness through literature in the United States. I argue that the concept of wilderness evolves over time and continues changing due to technological advances, climate change, reflections of the past, and the romanticization of ordinary people who venture out into the wilderness for an extended period. The definitions of the wilderness are elusive and individual. The wilderness can be viewed as a place for solitude, or as a space to reflect on the past and reconcile with the present. However, there is a collective view of wilderness that emerges from …

Independent- May 24, 2024, Leslie Lozada

The Independent (1988-present)

No abstract provided.

Mental Health And Well-Being Of People Aged 60 And Older Due To Covid-19, Holly Grayson

Walden Dissertations and Doctoral Studies

Few studies have focused on the experiences of people aged 60 and older during the COVID-19 pandemic. The extent to which COVID-19 affects people 60 or older and their mental and physical health and overall well-being was the focus of this project. This project’s framework and research design was the theoretical framework of gerotranscendence developed by Tornstam and qualitative research methods with 20 open-ended interview questions. The questions focused on different aspects of life to determine the participants’ perceptions of the effect that the COVID-19 pandemic has on mental health and well-being. The interviews were recorded, transcribed, and coded to …

Post-Stocking Predation And Dispersal Of Stocked Juvenile Chinook Salmon (Oncorhynchus Tshawytscha) In Lake Oahe, South Dakota, Dylan Alan Jon Gravenhof

Biology Theses, Dissertations, and Student Creative Activity

Acoustic telemetry is a tool commonly used to better understand the fates of fish following a stocking event. Until recently, predation on stocked fish could only be inferred by observing and identifying abrupt changes in tag detection histories. Recently, a novel predation transmitter has provided better insight into how predation affects post-stocking survival. The main objectives of this study were to use these transmitters to 1) estimate predation rates on stocked juvenile Chinook Salmon in a landlocked system (Lake Oahe, South Dakota) and 2) estimate dispersal rates and residency times of the Chinook Salmon after stocking. Additionally, our secondary objectives …

Implementing Real-Time Visitor Counter Using Surveillance Video And Mobilenet-Ssd Object Detection: The Best Practice, Nasser Al Musalhi, Ali Mohammed Al Wahaibi, Mohammed Abbas

Baghdad Science Journal

Counters that keep track of the number of people who enter a building are a useful management tool for keeping everyone who uses it safe and happy. This paper aims to employ the MobileNet-SSD machine learning approach to implement a best practice for visitor counter. The researchers have to build a different scenario test dataset along with the MOT20 dataset to achieve the proposed methodology. Implementing different experiments in single-user, one-one; two-two users; many-two, and multiple users in different walking directions to detect and count shows varied results based on the experiment type. The best achieved by single-user and one-to-one …

Estimating Tourist Growth At Destination Sites: A Mathematical Equation And A Connectivity Model Through Mobile Application, Dilwar. I. Mazumder, Someshvar. K. Vashisht, Pugalarasu R., Rajasekaran S.

Baghdad Science Journal

Social science researchers have endeavored with the literature showcasing various individual mobile recommendation systems to assist stakeholders in the tourism sector. The challenge of formulating a mathematical equation to predict tourist growth at specific sites arises due to the diverse environmental conditions unique to each destination. This research seeks to develop a mobile application model fostering connectivity among significant tourism stakeholders. Within the app, stakeholders can effortlessly retrieve information about others and directly engage with relevant authorities without exiting the application. The app also provides navigation guidance to tourist destinations. The study explores the specific growth rate of tourists, assuming …

Enhancing The Dorsal Side Of Fingers Using An Image Enhancement Technique With Fpga Output Comparison, Tan Shu Han, Imran Riaz, Ahmad Nazri Ali

Baghdad Science Journal

Most of the image enhancement techniques are implemented on CPU and GPU, but there is limited implementation on the FPGA platform. This paper presents a work on an enhancement technique called Histogram Equalization, HE for finger-knuckle images. This project is divided into three phases, which are image acquisition, image enhancement, and evaluation. For image acquisition, a USB webcam is set up as the acquisition device to acquire the image of fingers. For image enhancement, the Histogram Equalization (HE) method is chosen due to the less complex algorithm, especially when evaluating the performance on the FPGA platform. Two processing platforms are …

Analyzing The Efficiency Of A New Image Encryption Method Based On Aboodh Transformations, Suresh Rasappan, Regan Murugesan, Sathish Kumar Kumaravel, Kala Raja Mohan, Nagadevi Bala Nagaram

Baghdad Science Journal

The goal of this research is to develop a unique cryptographic method that makes use of Aboodh and its inverse transform in combination with the S-Box approach. The results of evaluations indicate that this work is appropriate for use in safe cryptographic applications, and it provides clues regarding the building of an image cryptosystem based on the complicated behaviors that it demonstrates. After applying the methodologies that have been provided to depict data taken from real-life situations, the results have been evaluated using a wide variety of statistical and performance criteria. The findings of this investigation result in an improvement …

Cybersecurity Enhancement Through Hybrid Encryption: Combining Rsa And Vigenère Algorithms In The Cypher-X System, Abir Alsideiri, Saif Alshamsi, Hajar Albreiki, Manal Almoqbali, Mithaa Almaamari, Shaima Alsaadi

Baghdad Science Journal

In the contemporary digital landscape, the imperative issue of data security continues to be a prominent concern. Numerous encryption systems have faced challenges stemming from their intricate nature and susceptibility to cyber threats. This study introduces Cypher-X, an advanced encryption and decryption system that adeptly integrates classical algorithms, namely RSA and Vigenère, to fortify data confidentiality. This research endeavors to address prevailing concerns by focusing on three primary objectives: augmenting data security measures, evaluating system efficiency, and identifying vulnerabilities exploited by cyber adversaries. The outcomes of our investigation affirm the robust encryption capabilities of Cypher-X, underscoring its potential for further …

Strategies Import-Export Entrepreneurs Need To Succeed In The Global Market, Athanasius Nde Awasom Longcha

Walden Dissertations and Doctoral Studies

Walden University College of Management and Human Potential This is to certify that the doctoral study by Athanasius Nde Awasom Longcha has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. John Bryan, Committee Chairperson, Doctor of Business Administration Faculty Dr. Brenda Jack, Committee Member, Doctor of Business Administration Faculty Chief Academic Officer and Provost Sue Subocz, Ph.D. Walden University 2024

Plasmonic Nano-Aperture Label-Free Imaging Of Single Small Extracellular Vesicles For Cancer Detection, Nareg Ohannesian, Mohammad Sadman Mallick, Jianzhong He, Yawei Qiao, Nan Li, Simona F Shaitelman, Chad Tang, Eileen H Shinn, Wayne L Hofstetter, Alexei Goltsov, Manal M Hassan, Kelly K Hunt, Steven H Lin, Wei-Chuan Shih

Faculty, Staff and Student Publications

BACKGROUND: Small extracellular vesicle (sEV) analysis can potentially improve cancer detection and diagnostics. However, this potential has been constrained by insufficient sensitivity, dynamic range, and the need for complex labeling.

METHODS: In this study, we demonstrate the combination of PANORAMA and fluorescence imaging for single sEV analysis. The co-acquisition of PANORAMA and fluorescence images enables label-free visualization, enumeration, size determination, and enables detection of cargo microRNAs (miRs).

RESULTS: An increased sEV count is observed in human plasma samples from patients with cancer, regardless of cancer type. The cargo miR-21 provides molecular specificity within the same sEV population at the single …

Design And Enhancing Security Performance Of Image Cryptography System Based On Fixed Point Chaotic Maps Stream Ciphers In Fpga, Ahmed Amir Salih, Zaid Abdulsattar Abdulrazaq, Harith Ghanim Ayoub

Baghdad Science Journal

Within this document, a novel system for image cryptography design utilizing fixed-point stream cipher chaotic maps is proposed. The system consists of fixed chaotic maps combined with generated 32-bit Pseudo Number (PN) all implemented using Field Programmable Gate Arrays (FPGA) through the Xilinx System Generator (XSG) environment. The most common chaotic maps-based cryptography involved in this work are Logistic, Lozi and Tent. The parameters of each type determine the key space required for decrypt the original pixel of plain image, Logistic map has one parameter r, Lozi has two parameters α and β, Tent has one parameter µ. The main …

Prediction Of Thyroid Classes Using Feature Selection Of Aehoa Based Cnn Model For Healthy Lifestyle, Rachappa Jopate, Piyush Kumar Pareek, Divyajyothi M. G, Ariam Saleh Zuwayid Juma Al Hasani

Baghdad Science Journal

People with underactive thyroids frequently endure severe symptoms. Correct classification and machine learning substantially improve thyroid disease diagnosis. This precise classification will impact the timely delivery of care to the patients. Although diagnostic techniques exist, they frequently seek binary categorization, use insufficiently big datasets, and lack confirmation of their conclusions. The focus of current approaches is on model optimisation, whereas feature engineering is neglected. This research presents the Adaptive Elephant Herd Optimisation Algorithm (AEHOA) model for selecting optimal attributes in order to circumvent these limitations. At first, employ a method called the Synthetic Minority Over-sampling Technique (SMOTE) to even out …

A Column Encryption-Based Privacy-Preserving Framework For Hadoop Big Data Sets, Hidayath Ali Baig

Baghdad Science Journal

The exponential growth of the Internet, the Internet of Things, and Cloud Computing in recent times has led to a significant rise of data across various sectors of business and industry. Big data has become a growing trend in recent years, attracting the attention of academics, corporate leaders, and government officials worldwide. Hadoop is a commonly adopted framework for processing big data. This data expansion has the potential to provide substantial and beneficial advantages, and some early success has been achieved from a technical standpoint in dealing with such a large quantity of data. Along with its many benefits, it …

Hybrid Optimized Data Aggregation For Fog Computing Devices In Internet Of Things, M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

Baghdad Science Journal

In the recent few years, the applications using Internet of Things (IoT) are becoming extremely important as they facilitate continuous and seamless interactions among humans and devices in order to improve the quality of life. With the increase in the devices used in an application for smooth and efficient operations, the amount of data generated is high. Today, fog computing has been emerging as an extended version of the cloud infrastructure that provides highly scalable services that are latency-aware to the end devices that are geographically distributed. By adding the fog layer to the cloud computing paradigm, Quality of Service …

Humans Verification By Adopting Deep Recurrent Fingerphotos Network, Islam Nahedh Alabdoo, Mehmet Ali Yalçınkaya

Baghdad Science Journal

Fingerphoto can be considered as one of recent and interesting biometrics. It basically means a fingerprint image that is acquired by a smartphone in contactless manner. This paper proposes a new Deep Recurrent Learning (DRL) approach for verifying humans based on their fingerphoto image. It is called the Deep Recurrent Fingerphotos Network (DRFN). It compromises of input layer, sequence of hidden layers, output layer and essential feedback. The proposed DRFN sequentially accepts fingerphoto images of all personal fingers. It has the capability to change between the weights of each individual fingerphoto and provide verification. A huge number of fingerphoto images …

A Solar Photovoltaic Performance Monitoring And Statistical Forecasting Model Using A Multi-Layer Feed-Forward Neural Network And Artificial Intelligence, G. Kumaravel, S. Kirthiga, Mohammed Mahmood Hamed Al Shekaili, Qais Hamed Saif Abdullah Al Othmani

Baghdad Science Journal

The topographical nature of the Sultanate of Oman makes the solar power system a viable and reliable option for bulk power production in the renewable energy market. Many desert areas of Oman experience high levels of solar radiation. This is suitable for photovoltaic (PV) systems as their efficiency mainly depends on solar radiation. However, in real-time applications, many environmental factors affect the efficiency of the solar panel and therefore its performance. In this article, the Multilayer Feed Forward Neural Network (MFFN) is proposed to track the solar PV system performance in order to replace or improve the performance of the …

Genetic Or Pharmacological Ghsr Blockade Has Sexually Dimorphic Effects In Rodents On A High-Fat Diet, András H Lékó, Adriana Gregory-Flores, Renata C N Marchette, Juan L Gomez, Janaina C M Vendruscolo, Vez Repunte-Canonigo, Vicky Choung, Sara L Deschaine, Kimberly E Whiting, Shelley N Jackson, Maria Paula Cornejo, Mario Perello, Zhi-Bing You, Michael Eckhaus, Karuna Rasineni, Kim D Janda, Barry Zorman, Pavel Sumazin, George F Koob, Michael Michaelides, Pietro P Sanna, Leandro F Vendruscolo, Lorenzo Leggio

Faculty, Staff and Students Publications

The stomach-derived hormone ghrelin regulates essential physiological functions. The ghrelin receptor (GHSR) has ligand-independent actions; therefore, GHSR gene deletion may be a reasonable approach to investigate the role of this system in feeding behaviors and diet-induced obesity (DIO). Here, we investigate the effects of a long-term (12-month) high-fat (HFD) versus regular diet on obesity-related measures in global GHSR-KO and wild-type (WT) Wistar male and female rats. Our main findings are that the GHSR gene deletion protects against DIO and decreases food intake during HFD in male but not in female rats. GHSR gene deletion increases thermogenesis and brain glucose uptake …

Dit Aungier Street – A Brief But Focused History From Earliest Times, Sean Byrne

Level 3

No abstract provided.

Contributor Biographies, Editors Of Suurj

SUURJ: Seattle University Undergraduate Research Journal

No abstract provided.

The Applications Of Edna Metabarcoding As A Tool For Conservation Biology, Aidan P. Gillespie

SUURJ: Seattle University Undergraduate Research Journal

Measuring ecosystem biodiversity has historically been challenging, invasive, and timeconsuming. Recent advances in molecular biology technologies and techniques over the past two decades have enabled the use of environmental DNA (eDNA) as a tool for studying biodiversity. Environmental DNA refers to the DNA from all organisms in an ecosystem that enter the environment through various pathways. Since the development of high-throughput DNA sequencing (HTS) techniques, researchers have adopted eDNA metabarcoding as a noninvasive, inexpensive, and technically simple method for describing ecosystem biodiversity. The present review will describe current eDNA metabarcoding techniques and technical considerations, and then provide a selection of …