Digital Commons Network^™

A Kinematic Analysis Of The Shoulder During The Volleyball Attack Using Euler And Helical Axis Methods, Victoria Jolliff

Biomedical Engineering Theses & Dissertations

The shoulder is a complex joint with a wide range of motion, including flexion, extension, abduction, adduction, and internal and external rotation. In volleyball, repetitive overhand movements can cause shoulder overuse injuries. The primary offensive move, the attack, involves the approach, arm cocking, arm acceleration, and follow-through phases. Motion capture analysis and techniques like calculating Euler angles and rotation about a mean helical axis can evaluate shoulder movements. This study aimed to calculate shoulder movements during each phase of the volleyball attack using the Euler angle YXY sequence and the helical axis method. Different attack types, such as cross-court and …

Development Of A Conceptual Framework For Complex System Governance (Csg) Performance Measurement, James Hartwell Rutherford

Engineering Management & Systems Engineering Theses & Dissertations

Within the Complex System Governance (CSG) paradigm, system performance is regulated by nine metasystem governance functions, which provide control, communication, coordination, and integration. However, CSG has lacked a fully developed model or language to richly articulate system performance at a conceptual level. The purpose of this research was to develop a systems theory-based conceptual framework to measure the performance of CSG metasystem governance using an inductive research design.

Although ‘good performance’ may seem like an obvious idea, the current literature on performance measurement across many disciplines and contexts contains vastly inconsistent uses of the word ‘performance.’ Both researchers and practitioners …

Response To Replication Stress And Maintenance Of Genome Stability By Wrn, The Werner Syndrome Protein, David K. Orren, Amrita Machwe

Markey Cancer Center Faculty Publications

Werner syndrome (WS) is an autosomal recessive disease caused by loss of function of WRN. WS is a segmental progeroid disease and shows early onset or increased frequency of many characteristics of normal aging. WRN possesses helicase, annealing, strand exchange, and exonuclease activities and acts on a variety of DNA substrates, even complex replication and re- combination intermediates. Here, we review the genetics, biochemistry, and probably physiological functions of the WRN protein. Although its precise role is unclear, evidence suggests WRN plays a role in pathways that respond to replication stress and maintain genome stability particularly in telomeric regions.

Investigating The Effects Of Calcitonin Gene Related Peptide On Heart Failure And The Gut Microbiome, Talia Charlotte Kepniss

Theses and Dissertations

Heart failure affects millions of people worldwide with current available treatments that are limited in their efficacy. The financial burden for care of those with heart failure is over 20 billion dollars in the US alone. Calcitonin gene related peptide has demonstrated cardioprotective and powerful vasodilator effects. In this study our objective is to prevent the onset of heart failure and treat early stages of heart failure with injections of calcitonin gene related peptide in C57BL/6 mice. In order to model heart failure, experimental mice underwent a transverse aortic constriction surgery. Echocardiograms and fecal collections were completed to observe changes …

Dynamic Metabolic Flux Analysis Amidst Data Variability: Sphingolipid Biosynthesis Case Study In Arabidopsis Thaliana Cell Cultures, Abraham Boluwatife Osinuga

Department of Chemical and Biomolecular Engineering: Dissertations, Theses, and Student Research

Sphingolipids are pivotal for plant development and stress responses. Growing interest has been directed towards fully comprehending the regulatory mechanisms of the sphingolipid pathway. In this study, we explore its de novo biosynthesis and homeostasis in Arabidopsis thaliana cell cultures, shedding light on fundamental metabolic mechanisms. Employing ¹⁵N isotope labeling and quantitative dynamic modeling approach, we obtained data with notable variations and developed a regularized and constraint-based Dynamic Metabolic Flux Analysis (r-DMFA) framework to predict metabolic shifts due to enzymatic changes. Our analysis revealed key enzymes such as sphingoid-base hydroxylase (SBH) and long-chain-base kinase …

Surface Acoustic Waves-Based Point-Of-Care Biosensor, Debdyuti Mandal

Theses and Dissertations

A biosensor is an analytical tool consisting of biologically active material used in close conjunction with a device that converts a biochemical signal into a quantifiable electrical signal. The early detection of the disease biomarkers can enhance the increased curability of the disease, reduce healthcare costs, and finally, improve the quality of life for patients. Thus, for the following purpose, there is always a need for an effective biosensor as a diagnostic device. The biosensor typically consists of an actuator, a bio-recognition component, and a transducer that converts captured signals into a meaningful display. The bio-recognition component uses biomolecules to …

Resilient Forward Osmosis Membranes Against Microplastics Fouling Enhanced By Mwcnts/Uio-66-Nh2 Hybrid Nanoparticles, Mitra Golgoli, Javad Farahbakhsh, Mohadeseh Najafi, Mehdi Khiadani, Michael L. Johns, Masoumeh Zargar

Research outputs 2022 to 2026

The escalating presence of microplastics (MPs) in wastewater necessitates the investigation of effective tertiary treatment process. Forward osmosis (FO) emerges as an effective non-pressurized membrane process, however, for the effective implementation of FO systems, the development of fouling-resistance FO membranes with high-performance is essential. This study focuses on the integration of MWCNT/UiO-66-NH2 as metal-organic frameworks (MOFs) and multi-wall carbon nanotubes (MWCNT) nanocomposites in thin film composite (TFC) FO membranes, harnessing the synergistic power of hybrid nanoparticles in FO membranes. The results showed that the addition of MWCNT/UiO-66-NH2 in the aqueous phase during polyamide formation changed the polyamide surface structure, and …

T. Boudieri Extract Potentiates The Effects Of Capecitabine Treatment In Human Colon Cancer Cells, Katia Sawaya, Mahmoud Khalil, Ghada Khawaja

BAU Journal - Science and Technology

Resistance to chemotherapy remains a major challenge for colorectal cancer patients worldwide, hence the persistent need to uncover alternative treatments as well as new adjunct therapies in the fight against cancer. Natural extracts constitute an excellent source of bioactive substances that have a promising potential in that regard, with minimal negative side effects. We have previously demonstrated that both the ethanolic as well as the water extracts of Terfezia boudieri, a black desert truffle abundant in and part of the cuisine of the Mediterranean region, have significant antiproliferative effects against colon cancer cells. Our aim in this study was …

An In – Depth Analysis Of Natural Fibers :A Comprehensive Review Of Properties And Performance Characteristics, Abbas Chour, Jamal Khatib

BAU Journal - Science and Technology

The purpose of this research is to investigate the usage of natural fibers in plant-based natural fiber-reinforced cement-based composites for sustainable construction materials. It summarizes research on various fiber kinds, their properties, and their impact on cement-based products, with a focus on renewable possibilities such as flax, jute, ramie, hemp, cotton, sisal, and kenaf. Due to their hydrophilic nature, plant fibers and polymers present compatibility concerns and moisture damage when combined. The paper examines ways for improving durability, such as physical and chemical treatments to improve aging resistance, optimizing binder components, and modifying curing regimens to reduce alkalinity in the …

Final Report - Autonomous Ultrasonic Thickness Measurement By A Magnet-Wheeled Robot, Yang Wang, Hung Manh La, Yu Otsuki, Son Thanh Nguyen

Project SN-6

This project develops a compact ultrasonic thickness sensing device that is integrated with a steel-climbing bicycle robot for autonomous thickness measurement of steel bridge members. With wireless communication capability, the ultrasonic sensing device can perform high-voltage pulse excitation, filtering and amplification of the received ultrasonic signal, and high-speed analog-to-digital conversions (up to 80 MHz). After successful validations of the device, it is integrated into a bicycle-like robot with two magnetic wheels controlled by two independent steering actuators that navigates on various steel surfaces (flat, curved, rough, concave, and convex). Along with the wireless ultrasonic sensing device, the robot carries a …

Development Of Poly-Vinyl Alcohol (Pva) And Moringa Oleifera-Based Nanofibre Patches For Wound Healing Using An Indigenous Electrospinning Setup, Suvarna Ghosh, Merla Sudha, Rakshith Prajwal R S, Sameer A Nadaf, Shreya R S, Pronama Biswas, Belaguppa Manjunath Ashwin Desai

Manipal Journal of Science and Technology

Wound healing is a crucial process that underlines the body’s ability to recover and restore damaged tissues. Conventional cotton-based dressings act as a physical barrier between the environment and open wound and are not actively involved in wound healing. This type of dressing can lead to maceration of scab, and infection and can cause pain upon removal. Functionalized nanofibre patches that can accelerate wound healing are being researched worldwide to overcome these challenges. Electrospinning has emerged as the most promising technique for engineering nanofibres for diverse applications. In this study, the wound-healing potential of PVA nanofibres functionalized with different concentrations …

Retracted: Empowerment Of Increasing Economic Resilience Post Covid-19 Janjang Wulung Village Community Through Creative Economic Village Planning, Alvian Wardhana, Muhammad Ramayuda, Faza Farhan Muhammad, Acyuta Putri Nariswari, Salsa Dwi Cahya, Garin Ardi Wicaksono, Dani Rizky Dianafi, Muhammad Ivan

CSID Journal of Infrastructure Development

This article has been retracted at the request of the authors.

Reason:

1. Conflict of interest for using an open database under the assignment of “Studio Desa” on the odd semester 2020/2021 at Perencanaan Wilayah dan Kota, Universitas Brawijaya

2. The plaintiff's consideration comes from another researcher under the assignment of “Studio Desa” related to the reconstruction of Journal results and development

3. Avoid bigger conflicts, especially those related to all parties, including authors, Plaintiff parties, institutions, and all parties involved

The Publisher

Python Tooth–Inspired Fixation Device For Enhanced Rotator Cuff Repair, Iden Kurtaliaj, Ethan D. Hoppe, Yuxuan Huang, David Ju, Jacob A. Sandler, Donghwan Yoon, Lester J. Smith, Silvio Torres Betancur, Linda Effiong, Thomas Gardner, Liana Tedesco, Sohil Desai, Victor Birman, William N. Levine

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Rotator cuff repair surgeries fail frequently, with 20 to 94% of the 600,000 repairs performed annually in the United States resulting in retearing of the rotator cuff. The most common cause of failure is sutures tearing through tendons at grasping points. To address this issue, we drew inspiration from the specialized teeth of snakes of the Pythonoidea superfamily, which grasp soft tissues without tearing. To apply this nondamaging gripping approach to the surgical repair of tendon, we developed and optimized a python tooth–inspired device as an adjunct to current rotator cuff suture repair and found that it nearly doubled repair …

Assessing The Social, Economic, And Environmental Impacts Of A Multifunctional Crop: The Case Of Moringa Oleifera, Yoel Gebrai

USF Tampa Graduate Theses and Dissertations

Multifunctional crops have the potential to support societal goals toward more sustainable production of food, feed, and fuel. The production and processing of multifunctional crops, with their numerous uses and coproducts, is accompanied by social, economic, and environmental impacts that need to be systematically evaluated to avoid unintended consequences from widespread adoption. Complexity emerges in the presence of multifunctionality, and counterintuitive system responses can occur. As a result, this dissertation has sought to enhance and apply frameworks to assess multifunctional crop sustainability holistically. Systems thinking and life cycle approaches are applied to a multifunctional crop case study, Moringa oleifera (MO). …

Strangeness Detection From Crowded Video Scenes By Hand-Crafted And Deep Learning Features, Ali A. Hussan, Shaimaa H. Shaker, Akbas Ezaldeen Ali

Journal of Soft Computing and Computer Applications

Video anomaly detection is one of the trickiest issues in intelligent video surveillance because of the complexity of real data and the hazy definition of anomalies. Since abnormal occurrences typically seem different from normal events and move differently. The global optical flow was determined with the maximum accuracy and speed using the Farneback approach for calculating the magnitudes. Two approaches have been used in this study to detect strangeness in the video. These approaches are Deep Learning (DL) and manuality. The first method uses the activity map's development of entropy to detect the oddity in the video using a particular …

Design Of A Pick-And-Place Robot With Computer Vision And Optimized Sorting Algorithms, Dan Kilula

Student Theses and Dissertations

In computer science, the Multiple Travelling Salesman Problem (mTSP) is a special case of Travelling Salesmen where one salesman travels through a network of cities (end nodes) and goes back to the starting city (start node) rather than stopping at the targeted end node. Numerous search and optimization algorithms are used to find the most time-efficient path for the salesman to visit each node. In this work 3 optimization methods and algorithms such as linear programming and A* pathfinding are utilized and compared to solve the mTSP applied to a 3 degrees-of-freedom pick-and-place robot that uses computer vision to detect …

Automated Flood Prediction Along Railway Tracks Using Remotely Sensed Data And Traditional Flood Models, Abdul Rashid Zakaria, Thomas Oommen, Pasi Lautala

Michigan Tech Publications

Ground hazards are a significant problem in the global economy, costing millions of dollars in damage each year. Railroad tracks are vulnerable to ground hazards like flooding since they traverse multiple terrains with complex environmental factors and diverse human developments. Traditionally, flood-hazard assessments are generated using models like the Hydrological Engineering Center–River Analysis System (HEC-RAS). However, these maps are typically created for design flood events (10, 50, 100, 500 years) and are not available for any specific storm event, as they are not designed for individual flood predictions. Remotely sensed methods, on the other hand, offer precise flood extents only …

Feasibility Of Eeg Based Detection Of Ischemic Stroke: Studies In A Simple Computational Model, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Objective: To explore quantitatively, using streamlined mathematics, how transmembrane potential differences across cell bodies of individual cortical neurons could act to produce the skin surface potentials of the electroencephalogram (EEG), and how ischemic stroke might be detected using EEGs in prehospital settings. Methods: From fundamental principles of electrostatics, anatomy, and physiology, one can characterize the strength of apparent dipoles created during activation of the cell bodies of individual cortical neurons. The transient dipole strength in a cortical neuron depends upon the size and surface area of its cell body, its capacitance, and the difference in transmembrane electrical potentials appearing across …

Learning By Evaluating: An Exploration Of Optimizing Design-Based Instruction, Scott Thorne, Nathan Mentzer, Greg J. Strimel, Scott R. Bartholomew, Jason A. Ware

School of Engineering Technology Faculty Publications

Learning by Evaluating (LbE) is an instructional approach that involves students making comparative judgements of pairs of artifacts, such as student work, portfolios, prototypes, or curated images related to a topic of instruction to enhance critical thinking and decision-making skills. Situated as a primer for learning, the efficacy of LbE stems from actively engaging students in the evaluation process, scaffolding their learning, fostering self-reflection in decision-making, and facilitating the transfer of acquired skills and concepts to academic contexts and project work. However, there is an opportunity to gain deeper insights into classroom integration of LbE and the factors that may …

Storage And Interaction Diagrams: Extending The Diagrammatic Framework Of Kinetic And Free-Body Diagrams To Other Conservation And Accounting Principles, Amir H. Danesh-Yazdi

Faculty Publications - Mechanical Engineering

After defining a system for analysis, a rigorous process is taught to students in their Statics and Dynamics courses on how to draw proper kinetic, free-body, and impulse-momentum diagrams. While numerous techniques and mnemonics have been mentioned in literature, any experienced instructor can tell a correct free-body diagram apart from an incorrect one. Unfortunately, this is not the case when considering scalar properties such as mass, energy, exergy, and entropy. Different fluid mechanics and thermodynamics texts have treated the diagrammatic representation of these properties either very poorly, or in the case of the latter two, not at all. In this …

Creative Insights Into Motion: Enhancing Human Activity Understanding With 3d Data Visualization And Annotation, Isaac Browen, Hector M. Camarillo-Abad, Franceli L. Cibrian, Trudi Di Qi

Engineering Faculty Articles and Research

This paper presents a novel 3D system for human motion analysis - Motion Data Visualization and Annotation (MoViAn). Designed to provide a comprehensive visual representation of 3D human motion data, MoViAn incorporates detailed visualization of gaze direction, hand movements, and object interactions, alongside an interactive interface for efficient data annotation. A user study involving eight participants indicates that MoViAn enables users to thoroughly explore and annotate human motion data, with System Usability Scale (SUS) results demonstrating a satisfactory usability level. The contribution of this paper lies in the development of an interactive and usable data analytics tool aimed at deepening …

Authentic Impediments: The Influence Of Identity Threat, Cultivated Perceptions, And Personality On Robophobia, Kate K. Mays

Human-Machine Communication

Considering possible impediments to authentic interactions with machines, this study explores contributors to robophobia from the potential dual influence of technological features and individual traits. Through a 2 x 2 x 3 online experiment, a robot’s physical human-likeness, gender, and status were manipulated and individual differences in robot beliefs and personality traits were measured. The effects of robot traits on phobia were non-significant. Overall, subjective beliefs about what robots are, cultivated by media portrayals, whether they threaten human identity, are moral, and have agency were the strongest predictors of robophobia. Those with higher internal locus of control and neuroticism, and …

What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence

Human-Machine Communication

Artificial intelligence (AI) is fundamentally a communication field. Thus, the study of how AI interacts with us is likely to be heavily driven by communication. The current study examined two things that may impact people’s perceptions of socialness of a social actor: one nonverbal (ontological frame) and one verbal (providing a name) with a 2 (human vs. robot) x 2 (named or not) experiment. Participants saw one of four videos of a study “host” crossing these conditions and responded to various perceptual measures about the socialness and task ability of that host. Overall, data were consistent with hypotheses that whether …

Exploring The Experiences Of African American Female Students In Engineering: A Narrative Literature Review, Anissa Guerin, Phd

Tapestry: Journal of Research in Education

Abstract

This narrative literature review delves into the experiences of African American female students in engineering, addressing their persistent underrepresentation in the field despite advancements in postsecondary education. By examining a broad range of research, the study explores the unique challenges faced by these students and investigates tools for their persistence and degree completion. The theoretical framework draws from intersectionality theory, emphasizing the intersecting identities of race and gender in shaping these experiences. Methodologically, a narrative literature review approach was employed, facilitating a comprehensive analysis of existing scholarship. Data collection involved rigorous criteria focusing specifically on empirical research or original …

Integration Of Machine Learning In Structural Health Monitoring For Damage Identification And Response Prediction In Bridges, Naga Lakshmi Chittitalli Ravuri

Theses and Dissertations

Machine learning-based structural health monitoring (ML-SHM) plays a pivotal role in enhancing structural resilience. By recognizing potential hazards, implementing resistance measures, facilitating swift recovery, and continuously monitoring structural health, ML-SHM ensures proactive maintenance and minimizes recovery delays post-events. Leveraging machine learning algorithms and sensor data, ML-SHM enables early detection of anomalies, prediction of failures, and adaptive responses, enhancing the structure's ability to withstand and recover from adverse conditions. This integrated approach not only improves the structure's performance and adaptability but also contributes to overall safety and longevity. This thesis presents a comprehensive exploration of structural health monitoring (SHM) techniques for …

Stretching The Limits Of Mri—Stretchable And Modular Coil Array Using Conductive Thread Technology, Folk W. Narongrit, Thejas Vishnu Ramesh, Joseph V. Rispoli

Purdue University Libraries Open Access Publishing Fund

Objective: We propose a modular stretchable coil design using conductive threads and commercially available embroidery machines. The coil design increases customizability of coil arrays for individual patients and each body part. Methods: Eight rectangular coils were constructed with custom-fabricated stretchable tinsel copper threads incorporated onto textile. Tune, match, and detune circuits were incorporated on the coil. A hook-and-loop mechanism was used to attach and decouple the modular coils. Phantom and in vivo scans at various anatomical flexion angles were acquired to highlight performance, and a temperature test was performed to verify safety. Results: In vivo MRI experiments demonstrate high sensitivity …

Exploring Differences In Perceived Learning For Students In Online Versus Face-To-Face Collegiate Pilot Ground Schools: A Quantitative Causal-Comparative Study, Christopher Komsa

Doctoral Dissertations and Projects

The purpose of this quantitative, causal-comparative study was to determine if there was a difference in the perceived learning of students completing online versus face-to-face collegiate pilot ground schools. Higher education institutions with pilot training programs are highly invested in student success and Federal Aviation Administration (FAA) compliance. A growing number of students are taking online courses in college, and this shift was accelerated by the COVID-19 pandemic. Perceived learning was quantified using a web-based survey that collected perceived learning data as measured by the Cognitive, Affective, and Psychomotor (CAP) Perceived Learning Scale. A sample of 86 students at University …

Design And Characterization Of 3d-Printed Hydrogel Lattices With Consistent Structural And Mechanical Anisotropy, Daniel Yoon

McKelvey School of Engineering Graduate Student Theses & Dissertations

This thesis explores the use of 3D printing to fabricate soft hydrogel lattice structures with consistent properties, including varying levels of mechanical anisotropy. Magnetic resonance elastography (MRE) is a non-invasive imaging tool to estimate and characterize the mechanical properties of tissue. MRE “phantoms” (physical surrogate models) have been used to assess how well MRE can measure and estimate mechanical properties. While gel phantoms generally simulate brain tissue, almost all have been isotropic. Prior studies have shown that white matter brain tissue is structurally and mechanically anisotropic. To validate anisotropic MRE, phantoms with controllable, reproducible anisotropic material properties are needed. This …

A Country-Level Primary-Final-Useful (Cl-Pfu) Energy And Exergy Database: Overview Of Its Construction And 1971–2020 World-Level Efficiency Results, Paul E. Brockway, Matthew Kuperus Heun, Zeke Marshall, Emmanuel Aramendia, Paul Steenwyk, Thomas Relph, Michelle Widjanarko, Jeonghoo (James) Kim, Anjana Sainju, Julian Irtube

University Faculty Publications and Creative Works

Societal exergy analysis examines the flows of energy and exergy through societies, from primary (e.g. oil) to final (e.g. gasoline) to useful (e.g. propulsion) energy stages. By extending the study of energy to the useful stage, new insights into the under-represented role of energy in economic growth have been made. However, currently (a) country coverage is patchy and incomplete, (b) available data are based on varying methods and assumptions including efficiencies based on economic rather than engineering data, and (c) datasets are constructed using piecemeal computational approaches. To address these gaps, we construct a country-level primary-final-useful (CL-PFU) energy and exergy …

Naturalistic Driving Action Recognition, Andy Xiao, Antonio Fontan

Computer Science and Engineering Senior Theses

Driving is one of the most tasks people do day to day to get to places more efficiently, but with many people using the road every day, distracted driving can be a big problem. Grothlaw firm states that in the recent years, at least 9 out of 3287 deaths related to auto accidents per day are caused by distracted driving [1]. Distracted driving refers to things that drivers do that are not related to driving [2] This can include texting, eating, talking to passengers, tuning the radios, etc... that can get the driver’s attention away from the road [2]. Many …