Digital Commons Network^™

Magnetic Resonance Imaging Of Ultrasound Fields For Visualization And Measurement Of Pressure Amplitudes, Paul-Emile Victor Passe-Carlus

Theses and Dissertations

In vivo pressure estimations for therapeutic ultrasound has the potential of rendering treatments using non-invasive ultrasound targeting safer and more reliable. By quantifying pressures and their respective spatial locations, better acoustic predictions and models can be made. In this thesis, we aim to measure a pressure field from a piezo-electric transducer through a ballistic gel medium by using an external gradient coil to encode the pressure field in a way that can be read and quantified using an MRI scanner. We describe the methods and the results pertaining to visualizing a pressure field. The setup was able to capture pressure …

Development Of Temperature Measurement And Control Of 3d Printed Microfluidic Devices Towards Biomolecular Analysis, Derek A. Sanchez

Theses and Dissertations

Microfluidics are devices with channels or reservoirs that have dimensions in the range of micrometers. They have an increasing role in biological analysis processes due to their ability to use very small sample volumes. Many microfluidic processes rely heavily on precise temperature measurement and control. Advances in 3D printing have led to high resolution digital light processing stereolithography (DLP-SLA) printers capable of using bio-compatible materials, available at BYU. This custom 3D printer has a resolution of 7.6 µm in the XY plane and 10 µm in the Z axis. Combined with a custom-made resin, we can produce microfluidic features as …

Design And Analysis Of Optimal Energy Efficient Routing Protocols For Lifetime Maximization And Qos Enhancement In Wireless Body Area Networks, Karthikeyan S

Theses and Dissertations

In recent times, Wireless Body Area Networks (WBAN) a subsection of Wireless Sensor Networks (WSN) a promising technology for the future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers which enables one-to-one care by implementing Tele-Medicine and Tele-Health solutions. Machine Learning (ML) and Internet of Things (IoT) enabled medical big data is the future of the healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care.

Recent …

Tunable Blended Collagen I/Ii And Collagen I/Iii Hydrogels As Tissue Mimics, Paulina M. Babiak, Carly M. Battistoni, Leonard Cahya, Rithika Athreya, Jason Minnich Ii, Alyssa Panitch, Julie C. Liu

School of Chemical Engineering Faculty Publications

Collagen (Col) is commonly used as a natural biomaterial for biomedical applications. Although Col I is the most prevalent col type employed, many collagen types work together in vivo to confer function and biological activity. Thus, blending collagen types can better recapitulate many native environments. This work investigates how hydrogel properties can be tuned through blending collagen types (col I/II and col I/III) and by varying polymerization temperatures. Col I/II results in poorly developed fibril networks, which softened the gels, especially at lower polymerization temperatures. Conversely, col I/III hydrogels exhibit well-connected fibril networks with localized areas of fine fibrils and …

Joint Subarray Acoustic Tweezers Enable Controllable Cell Translation, Rotation, And Deformation, Liang Shen, Zhenhua Tian, Kaichun Yang, Joseph Rich, Jianping Xia, Neil Upreti, Jinxin Zhang, Chuyi Chen, Nanjing Hao, Zhichao Pei, Tony Jun Huang

Faculty Publications

Contactless microscale tweezers are highly effective tools for manipulating, patterning, and assembling bioparticles. However, current tweezers are limited in their ability to comprehensively manipulate bioparticles, providing only partial control over the six fundamental motions (three translational and three rotational motions). This study presents a joint subarray acoustic tweezers platform that leverages acoustic radiation force and viscous torque to control the six fundamental motions of single bioparticles. This breakthrough is significant as our manipulation mechanism allows for controlling the three translational and three rotational motions of single cells, as well as enabling complex manipulation that combines controlled translational and rotational motions. …

Interpreting Black-Box Time Series Classifiers Using Parameterised Event Primitives, Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio

Conference papers

Amidst the remarkable performance of deep learning models in time series classification, there is a pressing demand for methods that unveil their prediction rationale. Existing feature importance techniques often neglect the temporal nature of time series data, focusing solely on segment importance. Addressing this gap, this paper introduces a local model-agnostic method akin to LIME, which generates neighbouring samples by randomly perturbing segments of the original instance. Subsequently, weights are computed for each neighbouring instance based on its distance from the original, elucidating its influence. Parameterised event primitives (PEPs) are then extracted from these perturbed samples, encompassing increasing and decreasing …

Learning Outcomes, Benefits, And Challenges Of International Research Experiences For Students (Ires): An Exploratory Study Of An Ires Program In China, Yousef Jalali, James Barilla, Kirsten Davis, Vinod Lohani, Rolf Müller

Journal of International Engineering Education

Despite the increasing number of international programs targeting students’ learning of research and intercultural skills, there has been limited holistic investigation of students’ experiences employing both qualitative and quantitative methods. In this study, we incorporated several measures to explore students’ experiences in an International Research Experiences for Students (IRES) program, which benefited from the existing partnership between Virginia Tech in the U.S. and Shandong University in China. We examined students’ intercultural competence and interdisciplinary research skills and explored students’ stories of their lived experiences across three cohorts, each with five students, who completed the IRES program. Both open-ended survey responses …

Global Horizons: Assessing The Impact Of Study Abroad Programs On Intercultural Competence Development Pre-College Technology Students, Aparajita Jaiswal, Muna Sapkota

Journal of International Engineering Education

Across fields, college and university graduates are increasingly expected to perform effectively in diverse, multi-cultural work environments. Given this reality, Higher Education Institutions (HEIs) are actively designing strategies to help students develop intercultural skills. Prior research has revealed that deliberately structured study abroad programs are an effective approach to nurturing intercultural competence among graduates. Consciously designed study abroad programs can provide students with opportunities to learn and reflect on their experiences. In this study, we aim to understand the impact of a study abroad program on pre-freshmen students enrolled in a College of Technology. Using a mixed-methods design, we examined …

Transition Of Buoyancy-Driven Flow From An Axisymmetric To Non-Axisymmetric Vortex Inside An Evaporating Sessile Droplet, Jialing Yu, Zhenhai Pan, Justin A. Weibel

CTRC Research Publications

The internal flow within an evaporating sessile droplet has intriguing fluid mechanics important to various microfluidics applications. In the present study, a phenomenon is observed through numerical methods wherein the buoyancy-driven flow structure inside a droplet on a non-wetting substrate transitions from an axisymmetric toroidal vortex flow to a non-axisymmetric single vortex flow with increase in the substrate temperature. As the axisymmetric nature of the droplet flow field and evaporation characteristics are broken, the internal velocity accelerates significantly. The transition, which is attributed to a flow instability inside the droplet, is more prone to occur as the droplet volume or …

Data-Driven Sparse Sensor Placement Optimization On Wings For Flight-By-Feel: Bioinspired Approach And Application, Alex C. Hollenbeck, Atticus J. Beachy, Ramana V. Grandhi, Alexander M. Pankonien

Faculty Publications

Flight-by-feel (FBF) is an approach to flight control that uses dispersed sensors on the wings of aircraft to detect flight state. While biological FBF systems, such as the wings of insects, often contain hundreds of strain and flow sensors, artificial systems are highly constrained by size, weight, and power (SWaP) considerations, especially for small aircraft. An optimization approach is needed to determine how many sensors are required and where they should be placed on the wing. Airflow fields can be highly nonlinear, and many local minima exist for sensor placement, meaning conventional optimization techniques are unreliable for this application. The …

10.14.2024 Orsp Connect, Liz Williamson

ORED Newsletter

IBC Changes and Updates

ARPA-H Planning New Funding Opportunity

Equipment Purchasing Training Available

Towards An Iot-Enabled Digital Earth For Sdgs: The Data Quality Challenge, Msb Syed, Paula Kelly, Paul Stacey, Damon Berry

Articles

Digital Earth (DE), a technology offering real-time visualisation of Earth's processes, has shown promising results in aiding decision-making for a sustainable world, raising awareness about individual impacts on our planet, and supporting the United Nations Sustainable Development Goals (UN SDGs) agenda. However, both DE and SDGs face a common obstacle: Data Quality (DQ). This review investigates the challenge of DQ in the context of DE for SDGs and explores how IoT can address this challenge and extend the reach of DE to support SDGs. Furthermore, the study discusses three core aspects; first, the potential of IoT as a data source …

Enhancing Human Aging Proteins Detection Based On Bio-Structural Deep Clustering Network, Sondos M. Hammad, Mohamed Talaat Saidahmed, Elsayed A. Sallam, Reda Elbasiony

Journal of Engineering Research

Aging is a major risk factor for numerous chronic diseases and declines in physical and cognitive functions, making it a critical focus of research. Identifying biomarkers that signify biological aging is crucial for developing interventions that can potentially delay age-related diseases. Among these biomarkers, human aging proteins are of significant interest. However, laboratory experiments to discover aging proteins are complex, costly, and time-consuming. Often focusing on single proteins at a time. To address this challenge, we used a clustering algorithm to detect potential human aging proteins. This approach aims to aid biologists in their experimental efforts. Deep clustering, particularly simultaneous …

Designing Adaptive Facades Using Biomimicry For Improving Daylighting In Office Building: A Case Study Of Cairo, Egypt, Hosam Abd El-Aziz Amr, Nada Essam

Journal of Engineering Research

The paper explores the use of biomimicry to enhance façade design and improve daylighting performance in office buildings in Cairo, Egypt. By emulating natural processes, adaptive facades were developed to increase energy efficiency and occupant comfort. Initial studies examined biomimicry principles and international case studies of adaptive facades. Simulations of a façade inspired by the Gazania flower's nyctinasty movement showed significant improvements: the area achieving optimal illuminance (300-3000 lux) increased from 24.2% to 37.4%, and Spatial Daylight Autonomy (SDA) has decreased from 82% to 68%. These findings demonstrate biomimicry's effectiveness in addressing daylighting challenges in hot climates. The research underscores …

A Review Of Effective Urban Strategies For Enhancing Pedestrian Thermal Comfort In High-Temperature Urban Environments, Norhan Mahmoud Mohamed Ibrahim Ali, Ahmed H. Aboulsaadat, Ingy I. El-Darwish, Ayman Gamal Eldin Ahmed Abdel Tawab

Journal of Engineering Research

Abstract- Pedestrian well-being is significantly influenced by the feeling of being thermally comfortable, and enhancing this comfort level contributes to the overall walkability. This study extensively compares the impact of different approaches in enhancing thermal comfort for pedestrians. The evaluation encompasses both fieldwork observations and computer simulations results. The investigated strategies include the urban geometry (arrangement, orientation and shape of urban structures), vegetation, solar-reflective materials, and water features. These strategies are considered the most effective means for improving outdoor thermal comfort. The findings reveal that the key climatic factors influencing outdoor thermal comfort in a microclimate are mean radiant temperature, …

Numerical Study On Enhancing The Geotechnical Behavior Of Strip Footings On Oil-Contaminated Sand Using Stone Columns, Ahmad Nasr, Waseim Azzam, Mohamed Ahmed Mahmoud Abdelrehem

Journal of Engineering Research

Ground improvement techniques are frequently employed in construction sites characterized by weak soil conditions that may result in suboptimal performance. The use of ordinary and encased stone columns aims to enhance endurance, shear strength, and soil hardness, thereby mitigating settlement issues and expediting the consolidation of contaminated sand soils. In this research, a comprehensive investigation involving 74 cases was conducted to assess the behavior of both ordinary stone columns and encased stone columns under strip footing in contaminated sand subgrade. The objective was to discern the impact and characteristics of encapsulation in comparison to encapsulated stone columns, employing a Finite …

Early Autism Detection Using Machine Learning Techniques: A Review, Shaimaa Fouad Sharabash, Hany Ali Elghaish

Journal of Engineering Research

Abstract- This article provides a comprehensive literature review on technology-based interventions for Autism Spectrum Disorder (ASD). It emphasizes the challenges in early detection and treatment of ASD, highlighting the spectrum nature of the disorder. The review discusses traditional diagnostic strategies such as behavioural observations, developmental screening and medical testing and goes on to explore advanced machine learning and deep learning models, including SVM, k-nearest neighbours, decision tree and LSTM, for predicting ASD characteristics in toddlers and children. Additionally, recent techniques employing more than ten strategies for ASD detection are summarized and various datasets used in early detection are described. The …

Advances In Electrospun Poly(Ε-Caprolactone)-Based Nanofibrous Scaffolds For Tissue Engineering, Karla N. Robles, Fatima Tuz Zahra, Richard Mu, Todd Giorgio

Agricultural and Environmental Sciences Faculty Research

Tissue engineering has great potential for the restoration of damaged tissue due to injury or disease. During tissue development, scaffolds provide structural support for cell growth. To grow healthy tissue, the principal components of such scaffolds must be biocompatible and nontoxic. Poly(ε-caprolactone) (PCL) is a biopolymer that has been used as a key component of composite scaffolds for tissue engineering applications due to its mechanical strength and biodegradability. However, PCL alone can have low cell adherence and wettability. Blends of biomaterials can be incorporated to achieve synergistic scaffold properties for tissue engineering. Electrospun PCL-based scaffolds consist of single or blended-composition …

A Simple And Fast Optical Clearing Method For Whole-Mount Fluorescence In Situ Hybridization (Fish) Imaging, Junwoo Suh, Yehe Liu, Jordan Smith, Michiko Watanabe, Andrew M. Rollins, Michael W. Jenkins

Faculty Scholarship

We report a single-step optical clearing method that is compatible with RNA fluorescence in situ hybridization (FISH) imaging. We previously demonstrated microscopy imaging with immunohistochemistry and genetic reporters using a technique called lipid-preserving refractive index matching for prolonged imaging depth (LIMPID). Our protocol reliably produces high-resolution three-dimensional (3D) images with minimal aberrations using high magnification objectives, captures large field-of-view images of whole-mount tissues, and supports co-labeling with antibody and FISH probes. We also custom-designed FISH probes for quail embryos, demonstrating the ease of fabricating probes for use with less common animal models. Furthermore, we show high-quality 3D images using a …

Experimental Investigation Of Vertical Axis Wind Turbine Performance Using Bio-Inspired Blades, Ahmed Elbaz

Mechanical Engineering

Vertical Axis Wind Turbines (VAWT) are becoming a key player in small wind power applications. Recent research on turbine performance focused on methods to augment turbine performance to secure a more efficient and reliable wind energy conversion system to electrical power. Most of these research works rely on Computational Fluid Dynamics (CFD) simulations given the excessive cost of wind tunnel testing. Many research papers investigated innovative blade shapes in order to improve turbine performance. In the present paper, a new bioinspired, blade shape is proposed to enhance the power output of VAWT. This shape is based on modifying NACA 0018 …

Basic Psychological Needs Satisfaction And Well-Being Among Seafarers: An Investigation Of Interaction Effects Through The Lens Of Self-Determination Theory, Nong Vuong Phi, Kung Don Ye, Feng Ming Tsai, Hsiao Chao Hsieh, Shiou-Yu Chen

Journal of Marine Science and Technology–Taiwan

Enhancing employee well-being is a primary goal for enterprise sustainable development. Although seafarers represent a major human resource in the maritime industry, the distinctive demands of their profession often compel them to compromise on certain elements in fulfilling their basic psychological needs, thereby contributing to mental health challenges. Recently, COVID-19 and its associated border control measures have prolonged the voyages of seafarers, drawing public attention to the topic of seafarer well-being. In this study, self-determination theory was used to explore the effects of autonomy, competence, and relatedness as fundamental psychological needs on seafarer well-being. After the independent effects of these …

10.07.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Lunch and Learn

Update Employee Directory

NIH Updates RPPR Instruction Guide

Digital Assessments For Children And Adolescents With Adhd: A Scoping Review, Franceli L. Cibrian, Elissa M. Monteiro, Kimberley D. Lakes

Engineering Faculty Articles and Research

Introduction: In spite of rapid advances in evidence-based treatments for attention deficit hyperactivity disorder (ADHD), community access to rigorous gold-standard diagnostic assessments has lagged far behind due to barriers such as the costs and limited availability of comprehensive diagnostic evaluations. Digital assessment of attention and behavior has the potential to lead to scalable approaches that could be used to screen large numbers of children and/or increase access to high-quality, scalable diagnostic evaluations, especially if designed using user-centered participatory and ability-based frameworks. Current research on assessment has begun to take a user-centered approach by actively involving participants to ensure the development …

M3t-Lm: A Multi-Modal Multi-Task Learning Model For Jointly Predicting Patient Length Of Stay And Mortality, Junde Chen, Qing Li, Feng Liu, Yuxin Wen

Engineering Faculty Articles and Research

Ensuring accurate predictions of inpatient length of stay (LoS) and mortality rates is essential for enhancing hospital service efficiency, particularly in light of the constraints posed by limited healthcare resources. Integrative analysis of heterogeneous clinic record data from different sources can hold great promise for improving the prognosis and diagnosis level of LoS and mortality. Currently, most existing studies solely focus on single data modality or tend to single-task learning, i.e., training LoS and mortality tasks separately. This limits the utilization of available multi-modal data and prevents the sharing of feature representations that could capture correlations between different tasks, ultimately …

Performance Of Ag‑Doped Cuo Nanoparticles For Photocatalytic Activity Applications: Synthesis, Characterization, And Antimicrobial Activity, Samar A. Salim, Ahmed Mosleh, Elbadawy A. Kamoun, Shahira H El-Moslamy, Heba Zahran, Samer Zyoud, Ibrahim Yahia

Nanotechnology Research Centre

The auto-combustion method synthesized CuO NPs and Ag/CuO NPs. The Ag/CuO NPs were analyzed using Fourier-transform infrared, X-ray difraction, scanning electron microscope, and Energy-dispersive X-ray spectroscopy instrumental analyses. The energy band gap, as determined by DRS properties, decreases from 3.82 to 3.50 eV for pure CuO and 10% Ag/CuO NPs, respectively. The photodegradation efciency of Rhodamine-B & Carmine by 10% Ag/CuO NPs was nearly 98.9 and 97.8%, respectively. Antimicrobial trials revealed that the antimicrobial efficacy of Ag/CuO NPs at several dosages (20, 40, 60, 80, 100, and 120 µg/mL) against human pathogens was initially assessed using the agar well-diffusion method, …

2024 Gateway Magazine, College Of Computing, Michigan Technological University

College of Computing Annual Magazines

Table of Contents

• 50 Years of Computer Science at Michigan Tech
• Data Science for a Changing Planet
• Healthcare Transformed
• Mechatronics Matters
• Powered by Michigan Tech Talent
• Esports: Bringing Everything Great about Sports to More People
• The Michigander Scholars Program: Electrifying Careers in Michigan
• College of Computing News

Study Of The Physical-Chemical Properties Of Chitosan Synthesized By The Cryogenic Method From Apis Mellifera Bees, Dilnoza Sohibovna Isomitdinova, Gulnora Akmalovna Ikhtiyarova, Jahongir Mustaqim O’G’Li Sharopov

Technical science and innovation

Chitosan was synthesized from Apis Mellifera dead bees by traditional and cryogenic methods, and the degree of deacetylation, viscosity, and molecular mass of the synthesized sample was studied. Chitosan was synthesized by deacetylation of chitin under cryogenic conditions. NaOH concentration 40%, temperature 90 ± 3 °C, time 120 min. The degree of deacetylation, and molecular mass was determined using an Ubbelode viscometer. DDA was determined by conductometric titration under standard conditions. The degree of deacetylation of Apis Mellifera chitosan was 87%. synthesized by cryogenic method DDA of chitosan was 83% synthesized by traditional method. Conducting the synthesis in liquid nitrogen …

Advancements In The Programmable Hyperspectral Seawater Scanner Measurement Technology For Enhanced Detection Of Harmful Algal Blooms, John J. Langan, Jungyun Bae

Michigan Tech Publications

The Programmable Hyperspectral Seawater Scanner (PHySS) represents a significant breakthrough in monitoring harmful algal blooms (HABs), specifically targeting the “Florida red tide” caused by Karenia brevis. By utilizing a Fourth-Derivative Spectral Similarity Index (SI), this study establishes a strong positive correlation between the SI and phytoplankton counts, underscoring the PHySS’s potential for early detection and effective management of HABs. Our findings suggest that the PHySS could act as a predictive tool, offering crucial lead time to mitigate the ecological and economic repercussions of blooms. However, this study also identifies certain limitations of the PHySS technology, such as its inability to …

Efficient Phosphate Removal From Water Using Ductile Cast Iron Waste: A Response Surface Methodology Approach, Mai Hassan Dr., Nada Alkhashab Eng., Ahmed Osman Dr., Dalia A. Ali Eng

Chemical Engineering

Water scarcity is a critical issue worldwide. This study explores a novel method for addressing this issue by using ductile cast iron (DCI) solid waste as an adsorbent for phosphate ions, supporting the circular economy in water remediation. The solid waste was characterized using XRD, XRF, FTIR, and particle size distribution. Wastewater samples of different phosphate ion concentrations are prepared, and the solid waste is used as an adsorbent to adsorb phosphate ions using different adsorbent doses and process time. The removal percentage is attained through spectrophotometer analysis and experimental results are optimized to get the optimum conditions using Design …

Development Of Brain Tumor Detection And Feature Extraction Through Deep Learning Approach, Sivapathi A

Theses and Dissertations

As the body's central control system, the human brain is susceptible to a wide variety of disorders, including tumors characterized by abnormal cell growth. It is imperative to detect these tumors as early as possible to plan effective treatment and improve patient outcomes. By using contemporary medical imaging methods, this research seeks to improve the accuracy and efficiency of brain tumor detection through the careful preprocessing and analysis of images, particularly Magnetic Resonance Imaging (MRI) [1]. To provide context for the subsequent research efforts, the challenges inherent in brain tumor detection are discussed comprehensively, including segmentation accuracy, small lesion detection, …