Digital Commons Network^™

Inspire Newsletter Spring 2024, Missouri University Of Science And Technology Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.

On-Site Estimation Of Total Sugars In Flavored Milk Using A Glucometer, Erwin Oliver V. Fundador, Karyn Thea E. Rivera, Kriza Faye A. Calumba, Noreen Grace V. Fundador

ASEAN Journal on Science and Technology for Development

Sugar has been linked to obesity and chronic diseases. Unfortunately some "healthy products," such as flavored milk, contain high sugar. In the Philippines, such an issue is made worse by local brands not putting nutritional labels on their products. Thus, a cheap, home-based method to measure total sugars should be beneficial. In this paper, we have shown that after incubation with invertase and lactase, a glucometer can be used to measure total sugars in flavored milk on-site. All experiments except the weighing of invertase and lactose were done in a home setting for actual proof of concept. The total sugar …

Evaluation And Modulation Of The Circadian Clock In Human Keratinocytes And Epidermal Skin, William Harold Cvammen Iv

Browse all Theses and Dissertations

The circadian clock is a fundamental biological mechanism that regulates various physiological processes, including DNA repair, to synchronize with the day-night cycle. In human skin, exposure to ultraviolet (UV) light poses a significant challenge, inducing DNA damage that must be efficiently repaired to maintain genomic integrity and prevent carcinogenesis. This study delved into the complex interplay between the circadian clock, UV light exposure, DNA repair, and modulation of circadian transcriptional machinery in human skin. Initially, we examined the transcriptomic profile of the circadian clock in humans through in silico-based approaches and in vivo studies, revealing that core clock gene expression …

Effects Of Psycho-Attitudinal Characteristics On Drivers’ Behavior: A Driving Simulator Study, Francesco Galante, Filomena Mauriello, Simone Fucito, Mariano Pernetti, Alfonso Montella

Kentucky Transportation Center Presentations

Human factors are crucial in causing traffic crashes and researchers try to identify and understand these factors to explore patterns of risky driving behavior and its consequences. It is clear that human factors play a crucial role in the causation of traffic accidents, and researchers are trying to identify and understand these factors. That is why it is important to explore the patterns that identify drivers prone to risky driving behavior and the possible negative consequences of that behavior At this aim, an experiment was conducted using the VERA dynamic driving simulator at the Road Safety Laboratory of the University …

Assessment Of Prestressed Concrete Beams: Advancing Non-Destructive Testing Methods For Enhanced Bridge Evaluation, Felipe Mota Ruiz

Theses, Dissertations and Capstones

The validity of non-destructive methods for evaluating transportation infrastructure conditions was explored in this study. The overarching objective is to assist in developing ideal protocols for bridge inspectors to determine the condition of reinforced concrete infrastructures and the remaining service life. A meticulous evaluation of a prestressed concrete beam decommissioned from a bridge listed in the West Virginia Division of Highways inventory was completed. The evaluation included determining the sizes, spacings, and location of reinforcement steel bars and prestressing tendons. The effort included generating a new computer code to automate the data post-processing, allowing for the automated identification of the …

A 3d Dlt View Correction Tool For Manual Digitizing: A Cross-Platform Application For Correcting Shifted Image Coordinates Prior To Object Coordinate Reconstruction, William Moynihan

Theses, Dissertations and Capstones

While 3D direct linear transformation is a versatile motion capture method, care must be taken so that the cameras are not bumped or adjusted between the object space calibration phase and the end of video recording. Disturbing the cameras during this time will misalign the view, making the movement data invalid for the associated calibration. The purpose of this study was to design and validate a cross-platform software application for transforming image coordinates from a bumped camera to be compatible with the object space calibration and to determine the relationship between reconstruction error and changes to bumped camera views.

For …

Species Distribution Modelling Using Bioclimatic Variables On Critically Endangered Endemic Species (Macrocephalon Maleo) In Sulawesi, Septianto Aldiansyah, Khalil Abdul Wahid

ASEAN Journal on Science and Technology for Development

The island of Sulawesi isolates migratory fauna from Asia and Australia and creates animal combinations such as the Maleo (Macrocephalon Maleo). The Maleo population is experiencing a downward trend due to habitat fragmentation, deforestation and threats by humans. This study aims to model the potential distribution of Maleo using several famous current and future models as a result of climate change throughout the island of Sulawesi, not only in its natural habitat, but beyond its natural habitat. Bioclimatic variables and in situ attendance data were used in this study. The method used is Maximum Entropy by evaluating the GLM, SVM …

Investigating The Role Of Anesthesia In Radiation Therapy, William Walter Daley

ENGS 88 Honors Thesis (AB Students)

Purpose:

Cancer claims 7.6 million lives worldwide annually, affecting millions more. Conventional (CONV) radiation therapy (RT) is a key weapon in the oncological arsenal. A novel mode of radiation delivery, utilizing ultra-high dose rates (UHDR), is associated with enhancing the RT therapeutic ratio by selectively sparing normal tissue without sparing tumor tissue. However, there are many roadblocks to the clinical implementation of UHDR RT —namely the lack of standardization of experimental conditions and the inconsistency of published and unpublished results. This thesis investigates variables that affect preclinical biological outcomes to radiation.

Materials/Methods:

Eight groups of 10 C57BL/6 mice were stratified …

Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning, Raj Kamal Somavarapu

Browse all Theses and Dissertations

Sickle Cell Disease (SCD) is one of the most prevalent genetic blood disorders affecting millions of people worldwide. It is often accompanied by acute and/or chronic pain leading to increased healthcare costs and adverse outcomes. Effective management of SCD requires an understanding of the diverse physiological profiles. This study employs unsupervised machine learning, specifically K-means clustering to categorize the patients suffering with SCD into different clusters based on their vital signs. The main aim is to identify the groups that reflect similarities in physiological and pain profiles, allowing an in-depth analysis to reveal distinctive features distinguishing patient clusters. The project …

The Trouble With Technology, John O'Connor

Conference Papers

In contemporary education, technology is either hailed as the panacea for affordable mass education or dreaded as a threat to our humanity. At the European Culture and Technology Laboratory, technology is understood in the context of the Ancient Greek origin of the word: technē—meaning a system or a method of making or doing, an art or a craft; a technique or a practice, even a way of thinking. The tools humans use are not merely a means of intervention in our environment but also a way of becoming human and thus, technology has a fundamental impact on our identity and …

Satisfaction And Absenteeism To Lectures:Cross-Sectionnel Study Of Dental Students, Manal El Hijazi, Soundouss Soulami, Ihsane Benyahya

Health Sciences

Introduction: Lectures are still the main pedagogical tool in universities. The aim of this study was to evaluate student satisfaction with lectures and to analyze the factors behind student absenteeism.

Methods: A descriptive cross-sectional study was carried out among dental student by a voluntary, anonymous self-administered questionnaire with open and closed question. Statistical analysis was performed by SPSS version 25 and the Chi2 test was used to compare percentages, with a significance level of p

Voxlabs: Real-Time Vocal Trainer, Madhav Danturthi, Aidan Galia

Electrical and Computer Engineering Senior Theses

With the rapid evolution of society, the barriers to entry into the world of music are more constricting than ever. The impacts of race, age, gender, and language on the quality of musical education and the accessibility to education in general is growing more and more. That is why it is more important than ever to develop a new accessible method of vocal training focused around improving craft through gamification and rewards, all while inspiring a next generation of ready to learn musicians.

VoxLabs is a project created to help music lovers learn how to sing through an entertaining yet …

Electronic Prototype Of A Smart Window System, Kelly Pennington

Electrical and Computer Engineering Senior Theses

As demands and cost for energy increase, the importance of energy saving devices will increase. Yet, as of now, the potential of such devices has yet to be fully realized. The Santa Clara University Smart Window considers the importance of energy saving devices and examines the potential of saving energy through a fully automated window. Ultimately, the Smart Window establishes a more efficient use of outdoor and indoor "energy" to create a more comfortable and user-friendly environment. This paper discusses the electronic design and implementation portion of the Smart Window research project. In particular, it focuses on the sensing, communications …

Empowering Kokal: A Decolonized, Community-Led Development Model In Homa Bay County, Kenya, Kennedy Miruka

Regis University Student Publications (comprehensive collection)

In Homa Bay County, Kenya, a community-led development initiative called the Power Centre is transforming the fight against poverty and powerlessness. Grounded in principles of decolonization and participatory action, this project addresses the root causes of marginalization by empowering residents of Kokal Village to become active agents of change. Through a robust mixed-methods research approach, the project identifies systemic challenges and leverages existing social networks to build a sustainable, locally-owned model for development. The Power Centre implements a three-pronged strategy, focusing on increasing community participation, strengthening existing groups, and fostering collaborative networks to weave a robust support system. By addressing …

Power Centres: A Collaborative Development Proposal For Addressing Poverty And Related Challenges In Rural Communities In Kenya, Kennedy Okello Miruka, Kennedy Okello Miruka

Regis University Student Publications (comprehensive collection)

In Homa Bay County, Kenya, a community-led development initiative called the Power Centre is transforming the fight against poverty and powerlessness. Grounded in principles of decolonization and participatory action, this project addresses the root causes of marginalization by empowering residents of Kokal Village to become active agents of change. Through a robust mixed-methods research approach, the project identifies systemic challenges and leverages existing social networks to build a sustainable, locally-owned model for development. The Power Centre implements a three-pronged strategy, focusing on increasing community participation, strengthening existing groups, and fostering collaborative networks to weave a robust support system. By addressing …

Synthesis Of Gold Nanoparticle-Coated Graphite Electrodes For The Improved Detection Of Arsenic In Water Samples, Erika Hagen, Thom Spence Phd

[Archive] Belmont University Research Symposium (BURS)

Drinking water, especially tap, is often contaminated with some concentration of heavy metal ions, with two important ones being lead and arsenic. These ions often find their way into the water through household plumbing and service lines, municipal waste disposal, or natural mineral deposits. This is becoming a major concern for public health care professionals as consuming high levels of heavy metals can be detrimental to health. The acceptable limit of lead in drinking water is 15 parts per billion (ppb), however, many devices for analyzing samples are not able to reliably detect heavy metals at that level, at least …

Winona State University Improving Our World Blog: 2013-2022, Winona State University

Winona State University Blogs

The Winona State University (WSU) Improving Our World Blog articles and entries from September 2013-February 2022. Note: there may be format coding in the document.

Winona State University Rochester Blog:2014-2023, Winona State University

Winona State University Blogs

The Winona State University (WSU) Rochester Blog includes articles and entries from May 2014-March 2023. Note: there may be format coding in the document.

Winona State University Campus Life Blog: 2013-2022, Winona State University

Winona State University Blogs

The Winona State University (WSU) Campus Life Blog includes articles and entries from October 2013- October 2022. Note: there may be format coding in the document.

Winona State University Wellness Blog: 2013-2023, Winona State University

Winona State University Blogs

The Winona State University (WSU) Wellness blog includes articles and entries from February 2013-February 2023. Note: there may be format coding in the document.

Research Trends And Impact Report On Aggregation-Induced Emission (Aie), 2001-2021, Elsevier Analytical Services

Public Reports

Since the concept of AIE was first proposed in China in 2001, it has gradually grown to a field of science that attracts dedicated researchers from around the world. Elsevier's data analytics team used AIE experts' interpretation of current theoretical, technological, and industrial development trends in the field for reference to collect AIE-related global scientific publications (from the Scopus database) to serve as a publication set in the field of AIE. This was undertaken to present, accurately and objectively, the development of AIE research over the past two decades and the latest scientific advancements in the field; to facilitate the …

Addressing Microplastic Environmental Data Gaps Through Undergraduate Research, Michelle Kryl, Ashlee Lewandoski, Grace Diblasio, Ethan Howard, Lillian C. Jeznach

Engineering, Computing & Construction Management Faculty Publications

Plastic pollution from freshwater and atmospheric sources into coastal and marine environments is complex and the extent is largely unquantified. Such a gap in knowledge of marine microplastic sources, fate, and transport requires a spectrum of engineers and scientists, so that technical, social, and policy solutions can be developed. Citizen scientists are low cost and can collect an abundance of field data. Experienced scientists can complete costly but advanced analytical analyses on a smaller sample of plastics. This project engages engineering and science undergraduate students (moderate experience) in microplastic data collection and analysis to fill gaps in microplastic data for …

Inflammatory Protein Elicitation In Response To Whole-Body Vibration Exposure, Nicholas Miller

Theses, Dissertations and Capstones

This study aimed to assess the effects of whole-body vibration (WBV) on the brain through changes in blood protein concentrations, seat and head accelerations, and symptomatology over time. Subjects were assigned to control, 1-hour, or 8-hour vibration exposure groups. Glial fibrillary acidic protein (GFAP) and S100B concentrations were measured. Root mean square average weighted vibration (A_ws), vibration dose value (VDV), and seat-to-head transmissibility (STHT) were calculated. There were no differences in GFAP (p = 0.79) or S100B (p = 0.97) concentrations between 1-hour and 8-hour subjects (p = 0.79). Average weighted head acceleration (p …

Design Of Multi-Objective And Optimal Sliding Mode Controller For Tracking Knee Joint Angle During Squatting And Normal Gait Motion, Gabriel Sitler

Theses, Dissertations and Capstones

This work presents two objectives for the use of robust sliding mode controller (SMC) in optimal and multi-objective settings to regulate the position of the knee joint angle for patients suffering from knee injuries. The controller imitates the role of active orthoses that produce the joint torques required to overcome gravity and loading forces and regain natural human movements. The first objective is to focus only on the knee, for which a mathematical model of the shank, the lower part of the leg, is derived first and then used for the control system design and computer simulations. Four objectives are …

Plant And Soil Effects Of Alternative Sources Of Phosphorus Over Three Years Of Application, Anna Karpinska, Thomais Kakouli-Duarte, S M. Ashekuzzaman, John Byrne, Achim Schmalenberger, Patrick J. Forrestal

Publications

Plant growth and food security depend heavily on phosphorus (P). Recovering and recycling P from animal, municipal, and food waste streams can significantly reduce dependency on traditional mineral P. This is particularly pertinent in the EU regions with limited native P supplies. The agronomic performance of including P-based recycling-derived fertilisers (two struvite and two ashes) or cattle slurry was compared to a conventional mineral P fertilisation programme along with no P and no fertiliser controls over three years. A field-scale experiment was set up to evaluate the perennial ryegrass dry matter yield (DMY), P uptake, and soil test P effects. …

Enhancing Groundwater Quality Assessment In Coastal Area: A Hybrid Modeling Approach, Md Galal Uddin, M M. Shah Porun Rana, Mir Talas Mahammad Diganta, Apoorva Bamal, Abdul Majed Sajib, Mohamed Abioui, Molla Rahman Shaibur, S M. Ashekuzzaman, Mohammad Reza Nikoo, Azizur Rahman, Md Moniruzzaman, Agnieszka I. Olbert

Publications

Monitoring of groundwater (GW) resources in coastal areas is vital for human needs, agriculture, ecosystems, securing water supply, biodiversity, and environmental sustainability. Although the utilization of water quality index (WQI) models has proven effective in monitoring GW resources, it has faced substantial criticism due to its inconsistent outcomes, prompting the need for more reliable assessment methods. Therefore, this study addressed this concern by employing the data-driven root mean squared (RMS) models to evaluate groundwater quality (GWQ) in the coastal Bhola district near the Bay of Bengal, Bangladesh. To enhance the reliability of the RMS-WQI model, the research incorporated …

Enhancing Academic Performance And Psychological Well-Being Through Sound Vibration Reading: An Experimental Study, L. Yan, X. Xu, Man Hon, Billy Chow, S.S. Lai

Staff Publications

This study investigates the development and application of monitoring equipment for sound vibration in neuroscience, focusing on its effects on high school students' academic performance and psychological well-being. The premise of the research is based on the phenomenon where sound vibrations from speech induce vibrations in the cranial bones, which is hypothesized to improve cerebrospinal fluid circulation, thus enhancing nutrient exchange within brain tissues. This enhancement could potentially elevate cognitive capabilities, academic achievements, and reduce psychological stress among students.

To verify the effects of sound vibration on learning outcomes, controlled experiments were performed in schools located in Beijing and Henan, …

Graduate School Academic Catalog 2024-2025, Graduate School Of Engineering And Management, Air Force Institute Of Technology, Walter F. Jones

AFIT Documents

No abstract provided.

Nebraska Water Center Annual Report 2024

Nebraska Water Center: Administrative Materials

The report's highlights updates including ongoing research, know your well, and the Nebraska master irrigator launch.

The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman

Finance, Economics, and Data Analytics

The fraudulent claims for Unemployment Insurance (UI) have also risen massively in the United States especially during the onset of COVID-19 pandemic with billions of dollars that were lost. These approaches applied formerly in fraud detection and prevention have been challenged by new and advanced fraud systems. For this reason, AI, Big Data and Predictive Analytics are now crucial for improving fraud mitigation in UI programs. The aim of this research is to understand how far AI, Big Data and Predictive Analytics have been utilized, for how effective they are and the barriers they pose in tackling unemployment insurance fraud …