Engineering Commons^™

Single-Molecule Orientation Imaging Reveals The Nano-Architecture Of Amyloid Fibrils Undergoing Growth And Decay, Brian Sun, Tianben Ding, Weiyan Zhou, Tara S. Porter, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Amyloid-beta (Aβ42) aggregates are characteristic Alzheimer’s disease signatures, but probing how their nanoscale architectures influence their growth and decay remains challenging using current technologies. Here, we apply time-lapse single-molecule orientation-localization microscopy (SMOLM) to measure the orientations and rotational “wobble” of Nile blue (NB) molecules transiently binding to Aβ42 fibrils. We correlate fibril architectures measured by SMOLM with their growth and decay over the course of 5 to 20 min visualized by single-molecule localization microscopy (SMLM). We discover that stable Aβ42 fibrils tend to be well-ordered and signified by well-aligned NB orientations and small wobble. SMOLM also shows that increasing order …

Highly Comparative Time Series Analysis Of Oxygen Saturation And Heart Rate To Predict Respiratory Outcomes In Extremely Preterm Infants, Jiaxing Qui, Juliann M. Di Fiore, Narayanan Krishnamurthi, Premananda Indic, Additional Authors, Prematurity-Related Ventilatory Control (Pre-Vent) Investigators

Electrical Engineering Faculty Publications and Presentations

Objective. Highly comparative time series analysis (HCTSA) is a novel approach involving massive feature extraction using publicly available code from many disciplines. The Prematurity-Related Ventilatory Control (Pre-Vent) observational multicenter prospective study collected bedside monitor data from > 700 extremely preterm infants to identify physiologic features that predict respiratory outcomes. Approach. We calculated a subset of 33 HCTSA features on > 7 M 10 min windows of oxygen saturation (SPO2) and heart rate (HR) from the Pre-Vent cohort to quantify predictive performance. This subset included representatives previously identified using unsupervised clustering on > 3500 HCTSA algorithms. We hypothesized that the best HCTSA algorithms would …

06.03.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Center for Population Studies, NSF Postdoc Berg, Quinn Appointed to HEPAP, Smitherman migraine research

A Study On The Effects Of Cementless Total Knee Arthroplasty Implants’ Surface Morphology Via Finite Element Analysis, Scott Hazelwood, Peter J. Hunt, Mohammad Noori, Naudereh B. Noori, Wael A. Altabey

Biomedical Engineering

Total knee arthroplasty (TKA) is one of the most commonly performed orthopedic surgeries, with nearly one million performed in 2020 in the United States alone. Changing patient demographics, predominately indicated by increases in younger, more active, and more obese patients undergoing TKA, poses a challenge to orthopedic surgeons as these factors present a greater risk of long-term complications. Historically, cemented TKA has been the gold standard for fixation, but long-term aseptic loosening continues to be a risk for cemented implants. Cementless TKA, which relies on the surface morphology of a porous coating for biologic fixation of implant to bone, may …

Noninvasive Technique For Measuring Cardiac Output, Grace E. Kolar, Rachel Simonton, Eli Strohecker

Williams Honors College, Honors Research Projects

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Gender-Based Service Quality Evaluation Of Multimodal Public Transportation In Dki Jakarta, Mohammad Owais, Jachrizal Sumabrata, Nahry Yusuf

Smart City

In DKI Jakarta, despite the extensive infrastructure development, there has been a significant decline in the usage of public transportation. This can be attributed to the inadequate quality of the services provided. Various studies have highlighted the significance of evaluating the quality of service in public transportation to ensure passenger satisfaction and attract new users. However, there is no agreement on the most effective methodology and suitable indicators for conducting such analyses. In addition, there is a growing recognition of the importance of promoting gender equality in multimodal public transportation (MMPT) and understanding gender differences and perceptions of MMPT services. …

Study Of Factors Influencing Traffic Violations In Jakarta: Perspective Of The Theory Of Planned Behavior (Tpb) In The Implementation Of Electronic Traffic Law Enforcement (Etle), Khobat Dewa Ruci, Sutanto Soehodho, R. Jachrizal Sumabrata

Smart City

Transportation safety in Indonesia reflects its culture and modernity, but the high rate of traffic accidents indicates significant challenges. Data from IRSMS and Polda Metro Jaya reveal an increase in accidents and traffic violations, reinforcing the need for effective law enforcement. The implementation of ETLE, supported by Law No. 22 of 2009 on Road Traffic and Transportation and Law No. 19 of 2016 on Electronic Information and Transactions, is a strategic effort to improve law enforcement. However, its effectiveness in Jakarta context still requires in-depth evaluation. This thesis focuses on the psychological factors in the use of ETLE using the …

The Distribution Of Schools Not Served By Brt Trans Semarang In Semarang City, Nanda Iryani Intan Sari, Sutanto Soehodho, R. Jachrizal Sumabrata

Smart City

For developing countries, the implementation of sustainable transportation systems is crucial to involve substantial investments. Mobility in Indonesia can have an impact on both origin and destination areas. This research aims to determine the distribution of schools that are not served in the city of Semarang. Consequently, an identification can be made to formulate a recommendation for the development of operational routes for the BRT Trans Semarang to enhance connectivity between other transportation modes on routes with high demand. A quantitative descriptive analysis was performed to assess BRT Trans Semarang through utilizing government documents, news, and official websites, followed by …

Assessment Of An Assumed Strain-Based Triangular Membrane Element, Abdelhak Kherfi, Kamel Zouggar, Khelifa Guerraiche, Djemaa Guerraiche, Antar Tahiri

Emirates Journal for Engineering Research

This paper presents a novel triangular strain-based element designed to address plane stress and strain, axisymmetric, and dynamic problems. The proposed element has four nodes, three of which are located at the vertices and one of which is located at the midpoint of the diagonal. The corner nodes have three essential external degrees of freedom (u, v, θ), while the central node has two degrees of freedom (u, v) on one of the triangle edges. A static condensation-based treatment of the central node is employed to streamline the model and reduce computational overhead. This triangular element …

Ranking Cloud Service Providers Using Swara-Marcos In Type-2 Neutrosophic Number Set Environment, Mai Mohamed, Shaimaa Ayman, Rui Yong, Jun Ye

Neutrosophic Systems with Applications

Cloud computing is a model for allowing suitable, on-demand network access to a shared store of resources such as servers, networks, storage, apps, and services, modified according to specific needs or requirements. The main goal of cloud technology development is to increase the use of resources that work together to achieve reliability at the lowest cost. Cloud service providers (CSPs) have gained popularity in recent years due to their accessibility and availability, as well as the growing quantity of cloud service providers (CSPs) that appear. Choosing (CSPs) has grown to be a challenging decision for many companies. The paper aims …

Exploring The Impact Of Artificial Intelligence On Project Management Across The Manufacturing, Technology, And Construction Industries, Susie Diaz Ferrera

Harrisburg University Dissertations and Theses

This study explores the impact of Artificial Intelligence (AI) on project management across the manufacturing, technology, and construction industries. The research focuses on understanding the benefits, challenges, and long-term implications of AI utilization in these sectors. Key findings indicate that 46% of participants use AI mainly for task automation and enhancing functions like brainstorming and communication, which significantly boosts efficiency and team productivity. Despite these benefits, the research identifies several obstacles, including high initial costs, inadequate training, technical issues, and unclear regulatory guidelines. The study addresses four main questions, revealing that AI not only enhances project management processes but also …

Evaluating Visual Dependence In Postural Stability Using Smartphone And Stroboscopic Glasses, Brent A. Harper, Michael Shiraishi, Rahul Soangra

Physical Therapy Faculty Articles and Research

This study explores the efficacy of integrating stroboscopic glasses with smartphone-based applications to evaluate postural control, offering a cost-effective alternative to traditional forceplate technology. Athletes, particularly those with visual and visuo-oculomotor enhancements due to sports, often suffer from injuries that necessitate reliance on visual inputs for balance—conditions that can be simulated and studied using visual perturbation methods such as stroboscopic glasses. These glasses intermittently occlude vision, mimicking visual impairments that are crucial in assessing dependency on visual information for postural stability. Participants performed these tasks under three visual conditions: full vision, partial vision occlusion via stroboscopic glasses, and no vision …

Ranking Cloud Service Providers Using Swara-Marcos In Type-2 Neutrosophic Number Set Environment, Mai Mohamed, Shaimaa Ayman, Rui Yong, Jun Ye

Neutrosophic Systems with Applications

Cloud computing is a model for allowing suitable, on-demand network access to a shared store of resources such as servers, networks, storage, apps, and services, modified according to specific needs or requirements. The main goal of cloud technology development is to increase the use of resources that work together to achieve reliability at the lowest cost. Cloud service providers (CSPs) have gained popularity in recent years due to their accessibility and availability, as well as the growing quantity of cloud service providers (CSPs) that appear. Choosing (CSPs) has grown to be a challenging decision for many companies. The paper aims …

Sustaining Digital Assets Through Mobile Estate Planning, Norliza Katuk, Asvinitha Muniandy, Norazlina Abd. Wahab, Ijaz Ahmad

An-Najah University Journal for Research - B (Humanities)

Many people own online accounts, with some having financial values like Internet banking, e-wallet and cryptocurrency. In the case of sudden death, their heirs are unaware of the digital assets possessed by the deceased person, which causes the assets to be lost forever, and the heirs might not receive the assets. If an estate plan did not account for digital assets properly, the beneficiaries would not be able to access them. Therefore, this paper addresses this issue by implementing a software development approach in designing a suitable model for sustaining digital assets through smartphones to allow the inheritance of digital …

Prototype Device For Measuring The Dustiness Of Stone And Lime Dust Used In Explosion Prevention, Adrian Toman, Zdzisław Dyduch, Tomasz Skowronek

Journal of Sustainable Mining

This paper presents the prototype of a device for measuring the dustiness of powdered materials by means of a new measurement method. The currently employed stationary laboratory device, utilised in KD “Barbara”, uses the attenuation of a radiant flux transmitted through a dust cloud induced by a manually generated air blast. The new device uses the same measurement method, but it includes modern elements based on a microprocessor, a laser line generator instead of an LED diode, and a precise multi-channel detector. The generated quantity of the mixture (dust and air) is strictly determined and precisely dosed via buffer containers, …

Tracking Mining Company Electric Vehicles For Sustainable Development Optimization Using Distributed Ledger Technologies, Teodora Hristova

Journal of Sustainable Mining

It is established that based on the industrial revolutions towards Industry 5.0, the population of the Earth and its well-being are increasing. To preserve and improve living conditions the development in all spheres of life is by the paradigm of sustainable development. Through the prism of the mining industry, one step could be the introduction of circular economy measures for digitized tracking of materials, repairs, consumed electricity, safety, and finances. Implementing of electric cars is an option to achieve this goal through automation, manageability, and data traceability via Industry 4.0 technologies. Such are blockchain technologies, IoT, V2V, and others. For …

Waypoint Profiler, Jeff Ke, Ricky Schober, Alexander Collins, Kevin Wang

Computer Science and Engineering Senior Theses

Ocean health monitoring is crucial for maintaining the health of the ocean ecosystem. Currently, divers are deployed to collect data manually, which is both time and resource-consuming. Additionally, this process poses significant dangers to the divers. Therefore, a more efficient method for collecting oceanic data is needed. This thesis describes the design of a novel autonomous marine vehicle, the waypoint profiler. Launched from shore with scientific sensors, it autonomously navigates to ocean locations of interest and dives to measure key ocean health markers. The system integrates subsystems for scientific sensing, health monitoring, structural integrity, communications, and navigation/control, tailored to meet …

Piloted Autonomous Crisis Reconnaissance Robot (Pacrr), Aidan O’Hare, Luca Chierotti, Tyler Costello, Nicholas Kenny

Computer Science and Engineering Senior Theses

PACRR stands for Piloted/Autonomous Crisis Reconnaissance Robot. The aim of PACRR is to create a low-cost, autonomous-capable quadruped robot for first responder applications such as search and rescue, detecting gas leaks, mapping obstructed areas, and other situations that are dangerous or too confined for humans. The design process for PACRR involved the addition of perception sensors to use with a simultaneous localization and mapping (SLAM) algorithm, alterations to the power delivery system, adjusting the control of the robot, as well as other hardware and software modifications to an open-source 3D-printed design originally developed at Monash University called DINGO.

Development Of An Advanced Step Counting Algorithm With Integrated Activity Detection For Free Living Environments, Paige M. Dolan

Master's Theses

Physical activity plays a crucial role in maintaining overall health and reducing the risk of various chronic diseases. Step counting has emerged as a popular method for assessing physical activity levels, given its simplicity and ease of use. However, accurately measuring step counts in free-living environments presents significant challenges, with most activity trackers exhibiting a percent error above 20%. This study aims to address these challenges by creating a machine learning algorithm that leverages activity labels to improve step count accuracy in real-world conditions. Two approaches to balancing data were used: one employed a simpler oversampling technique, while the other …

Nautilus: Deep Sea Dexterity, Quinn Bates, Saunder Salazar, Morgan Watts, Davis Robertson, Sarah Abruzzo, Ian Staff, Nick Aguilar

Computer Science and Engineering Senior Theses

Global warming and climate change are prevalent issues in today's society. As a result, research in the ocean, earth's biggest ecosystem, is imperative in efforts to protect the environment. Santa Clara University's Robotic Systems Lab contributes to this field through work and development on remotely operated vehicles (ROVs). Nautilus was built to support geologists and other researchers, primarily in the Lake Tahoe and Monterey Bay area. Thus far the ROV s sole scientific instrument has been its onboard camera, though partner geologists desire the ability to collect physical samples using a robotic arm attachment at depths up to 100 meters. …

A Screening Life Cycle Analysis Of One-Way And Reusable Crate Designs – Estimating Environmental Impacts Via Lca Software, Nicolas R. Corona

Master's Theses

A comparison analysis conducted via COMPASS life cycle analysis software has indicated that a one-way crate design, rather than a reusable crate design, is in fact the more environmentally friendly packaging system. These results can be interpreted differently, however, as the manufacturer of said crate designs must confirm what impact indicators they would like to reference as environmental goalposts. The conducted analysis provides insight into what the environmental impacts of each packaging system look like as packaging at all three system levels has been identified as a means of reducing environmental impacts globally. As such, the manufacturer of said crate …

Engineering An Injectable Hydrogel With Self-Assembling 3d Vasculature, Kendyl Cohn

Master's Theses

This research developed methods for culturing self-assembling capillaries in an injectable gel as a potential method for vascularizing tissue-on-a-chip models to mimic physiological drug delivery. Additionally, a mathematical model was developed as a tool for understanding nutrient delivery and comparison of potential delivery systems. Organs-on-a-chip provide novel platforms for studying biology and physiology in 3D, allow exploration of tissue engineering on a manageable scale, and serve as models for drug screening and drug-delivery testing.

Methods were first developed for co-culture of endothelial cells and fibroblasts (3T3s or HDFs) in 2D, evaluating culture time, seeding density and ratio of HUVECs and …

Deep Learning-Based Video Prediction, Mareeta Mathai

Engineering Ph.D. Theses

The task of video prediction is to generate unseen future video frames based on the past ones. It is an emerging, yet challenging task due to its inherent uncertainty and complex spatiotemporal dynamics. The ability to predict and anticipate future events from video prediction has applications in various prediction systems like self-driving cars, weather forecasting, traffic flow prediction, video compression etc. Due to the success of deep learning in the computer vision field, several deep learning Artificial Intelligence (AI) architectures such as convolutional neural networks (CNNs), long short-term memory (LSTMs), convolutional LSTMS (ConvLSTMs) and transformers have been explored to improve …

Operation Of A Packed Bed Reactor For Hyrdogenation, Austin Joseph Urfer

Graduate Theses - Chemical Engineering

The primary goals of this research were to develop an efficient standard operating procedure for undergraduate students and researchers performing reactions within a packed bed reactor and to determine the optimal operating conditions for phenethylamine formation from mandelonitrile hydrogenation. With the current laboratory packed bed reactor system, undergraduates can conduct gas-liquid phase reactions at a maximum temperature of 95℃ and a maximum pressure of 100 psi. The versatile system setup can be modified for unit operations laboratory instruction or future researchers analyzing heterogeneous catalysis reactions. The developed standard operating procedure provides detailed instructions on packing the reactor with a solid …

Thermal Preconditioning Effects On Perforation Propensity Of Transvenous Implantable Cardiac Leads Used For Pacing And Defibrillation, Diane Muff

Master's Theses

Thermal preconditioning to simulate shipping, handling and storage conditions did not affect distal tip stiffness values for permanently implantable cardiac leads used for pacing and defibrillation. Leads that were subjected to extreme temperatures and temperature cycling did not show changes in buckle force values compared with control specimens which were maintained at ambient room conditions. Absolute differences between all measurements were small, generally under 0.05 N and were attributable to measurement variability.

Buckle force values are used to assess the propensity of leads to perforate the heart, a rare but potentially serious complication of implantable pacing and defibrillation systems. Since …

Predicting Flexural-Creep Stiffness In Bending Beam Rheometer (Bbr) Experiments Using Advanced Super Learner Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

BBR test is commonly used to assess the low-temperature performance grade (PG) of asphalt binders, with the flexural-creep stiffness being a critical parameter calculated through this test. However, it has notable limitations that demand attention. The significant amount of asphalt binder needed for test specimens increases costs and resource consumption. Additionally, the complex and time-consuming specimen preparation process hinders testing efficiency and introduces result variability, affecting the accuracy and reliability of PG determinations. In recent years, machine learning (ML) has emerged as a promising substitute for predicting various engineering values. In this study, the primary focus was on harnessing super …

Algae: Advanced Lakebed Guardian And Algae Eradicator, Máté Aranyosi, Julien Buist-Thuillier, Victor Calata-Gentil, Elia Döhler, Brian Yeh

Mechanical Engineering Senior Theses

The Advanced Lakebed Guardian and Algae Eradicator (ALGAE) is a benthic rover designed to mitigate algae blooms in Lake Tahoe and similar freshwater environments. The aim is to eliminate the risks of manual algae removal by scuba divers, which is the current solution employed by the UC Davis Tahoe Environmental Research Center (TERC). Serving as a safer and cost-effective robotic solution for algae mitigation, ALGAE will enhance environmental preservation, marine research, and the tourism industry at Lake Tahoe. For the first year of development, differential drive, sensor data streaming, and remote operation were all achieved using a tethered laptop workstation …

In-Vitro Hydrogel Blood Clots, Ethan Evans, Khoi-Austin Ngo

Bioengineering Senior Theses

Creating a sustainable, ethical, and affordable substitute for animal blood in balloon catheter testing for Deep Vein Thrombosis (DVT) is important to take into consideration. This research utilizes agarose and dextran to develop hydrogel-based artificial blood clots. These hydro gels replicate the mechanical characteristics of human thrombi across acute, subacute, and chronic stages through their elastic and viscous moduli (G' and G") and phase angles. This project addresses extant testing protocols, including temperature regulation, agarose processing, and well plate size, and suggests efficient approaches to encounter these problems.

The hydrogels were characterized by means of a thorough literature review and …

Packed-Bed Reactor For Integrated Peritoneal Dialysis, Julia Appleget, Ally Kwong, Megan Moglia

Bioengineering Senior Theses

Patients with chronic kidney disease (CKD) have lost kidney function. 800,000 Americans have end-stage kidney disease resulting in one of the leading causes of mortality cross-listed with diabetes and heart disease. Over the past decade, the percentage of patients using peritoneal dialysis (PD) has nearly doubled. PD which is a portable treatment involves the insertion of a catheter into the selectively permeable peritoneal cavity infused with a hyperosmolar dialysis fluid drawing the toxins from capillary beds of the peritoneum and into a gravity fed waste solution with a reported clearance of 87%. In order to improve the clearance of the …

An Editorial For The Special Issue “Processing And Application Of Weather Radar Data”, Youcun Qi, Zhe Zhang, Zhanfeng Zhao, Bong Chul Seo, Huiqi Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.