Digital Commons Network^™

Tunable And Parabolic Piezoelectricity In Hafnia Under Epitaxial Strain, Hao Cheng, Peijie Jiao, Jian Wang, Mingkai Qing, Yu Deng, Jun-Ming Liu, Laurent Bellaiche, Di Wu, Yurong Yang

Physics Faculty Publications and Presentations

Piezoelectrics are a class of functional materials that have been extensively used for application in modern electro-mechanical and mechatronics technologies. The sign of longitudinal piezoelectric coefficients is typically positive but recently a few ferroelectrics, such as ferroelectric polymer poly(vinylidene fluoride) and van der Waals ferroelectric CuInP₂S₆, were experimentally found to have negative piezoelectricity. Here, using first-principles calculation and measurements, we show that the sign of the longitudinal linear piezoelectric coefficient of HfO₂ can be tuned from positive to negative via epitaxial strain. Nonlinear and even parabolic piezoelectric behaviors are further found at tensile epitaxial strain. …

Passive Magnetic-Free Broadband Optical Isolator Based On Unidirectional Self-Induced Transparency, Haodong Wu, Jianshan Tang, Miangyuan Chen, Min Xiao, Yanqing Lu, Keyu Xia, Franco Nori

Physics Faculty Publications and Presentations

Achieving a broadband nonreciprocal device without gain and any external bias is very challenging and highly desirable for modern photonic technologies and quantum networks. Here we theoretically propose a passive and magnetic-free all-optical isolator for a femtosecond laser pulse by exploiting a new mechanism of unidirectional self-induced transparency, obtained with a nonlinear medium followed by a normal absorbing medium at one side. The transmission contrast between the forward and backward directions can reach 14.3 dB for a 2π − 5 fs laser pulse. The 20 dB bandwidth is about 56 nm, already comparable with a magneto-optical isolator. This work provides …

Investigating The Diagnostic Validity Of The Communication Domain Subtest Of The Developmental Assessment Of Young Children–Second Edition (Dayc-2) For Language Disorders In Preschool-Age Children, Kathy Leigh King

Speech Language Pathology Dissertations

The appropriate selection of standardized tests is integral to establishing an accurate early diagnosis and providing timely treatment to optimize language outcomes in young children. However, clinicians sometimes utilize tests that are not validated for this specific purpose. This applied dissertation was designed to investigate the validity of the Communication Domain subtest of the Developmental Assessment of Young Children–Second Edition (DAYC-2) as a measure to diagnose a language disorder in preschool-age children when compared to a specifically designed language test in a large school district in Georgia. Diagnostic validity was considered via concurrent validity with the Preschool Language Scale–Fifth Edition …

Clinical Classification Of Memory And Cognitive Impairment With Multimodal Digital Biomarkers, Russell Banks, Connor Higgins, Barry R Greene, Ali Jannati, Joyce Gomes-Osman, Sean Tobyne, David Bates, Alvaro Pascual-Leone

Faculty, Staff and Students Publications

Introduction: Early detection of Alzheimer's disease and cognitive impairment is critical to improving the healthcare trajectories of aging adults, enabling early intervention and potential prevention of decline.

Methods: To evaluate multi-modal feature sets for assessing memory and cognitive impairment, feature selection and subsequent logistic regressions were used to identify the most salient features in classifying Rey Auditory Verbal Learning Test-determined memory impairment.

Results: Multimodal models incorporating graphomotor, memory, and speech and voice features provided the stronger classification performance (area under the curve = 0.83; sensitivity = 0.81, specificity = 0.80). Multimodal models were superior to all other single modality and …

Characterization Of Curing Kinetics Of An Anisotropic Conductive Adhesive Using Rheology And Differential Scanning Calorimetry, Connor Kirkpatrick

Theses

A kinetic study performed to further the understanding of a novel magnetically aligned anisotropic conductive adhesive (ACA) was performed using differential scanning calorimetry (DSC) and a rheometer, under both isothermal and non-isothermal conditions. Isothermal data was collected at 70, 80, and 90°C, whereas non-isothermal data was collected at 5, 10, 20, and 30°C/min, with results interpreted through the use of an autocatalytic model. For isothermal experiments, the rate of conversion was found to increase with increasing isothermal curing temperature, and this was reflected in the kinetic rate constant. Moreover, the rate constant determined by DSC was found to range from …

Advancing Elastomer Cutting Tool Development Through Material-Centric Cutting Mechanism Analysis, Shuhuan Zhang

Theses

Cutting elastomers is a very common procedure that is used in a wide variety of applications, including rubber product manufacturing, food processing, and surgical process. To conserve energy and improve cutting accuracy, decreasing the cutting force and elastomer deformation is always of interest. Numerous studies have concentrated on methods for reducing cutting force and deformation, but only a few have explained the underlying mechanics of these cutting techniques. Without a deep understanding of elastomer cutting mechanics, it's difficult to improve or develop a new cutting method. To understand the cutting mechanics, the mechanical, tribological, and rheological properties of the elastomer …

Predictive Methods And Data Pattern Analysis For Reducing Car Plate Theft, Noor Alzayani

Theses

The project titled " Predictive Methods and Data Pattern Analysis for Reducing Car Plate Theft" seeks to provide innovative solutions to combat car plate theft. The project contains data of 6500 thieves who have stolen number plates and were involved in various other types of criminal activities by putting that number plate in their vehicle. The data collected for the present project is from the emirates of Dubai. It contains information related to thieves age, education, nationality, type of crime committed, area in which crime is committed, number of crimes committed, timing of crime, residential status of criminal, visa status, …

Towards Algorithm Selection For Efficient Search-Based Software Engineering, Niranjana Deshpande

Theses

In Search-Based Software Engineering (SBSE), metaheuristic search algorithms are used to construct software by combining components that fulfill diverse user and business requirements. These search algorithms typically employ randomization to accurately and efficiently evaluate numerous component combinations using limited computational resources. As a result, several search algorithms have been proposed to address SBSE problems, each with varying solution quality guarantees and computational resource usage. Recent research has demonstrated that search algorithms exhibit complementary behavior, that is, different search algorithms outperform each other on specific problem instances in terms of computational resource usage and solution quality. Problematically, current SBSE approaches do …

Predictive Modeling In Healthcare, Ibrahim Essa Abdulla Ali Alattar

Theses

Predictive modelling, especially the use of horizontal lines, has become an important tool in clinical practice to help make informed decisions and accurate predictions. This study focuses on the use of horizontal regression in clinical practice, evaluating its effectiveness in revealing patterns and improving the accuracy of predictions. This study introduces the process of developing a linear model, emphasizing the importance of preliminary data analysis, feature selection, and model evaluation. To make sure your model's predictions are accurate, consider key assumptions such as sampling, independence, and homoscedasticity. The main goal is to provide doctors with the knowledge and skills needed …

Emergence Of Preferential Flow Paths And Intermittent Dynamics In Emulsion Transport In Porous Media, Michael Izaguirre

Theses

This dissertation aims to study the underlying physics of anomalous transport of emulsions in porous media and quantify the role of droplet-pore and droplet-droplet interactions in transport in porous media experimentally. The complexities of this problem arise from the network heterogeneity, correlations between the pores across the medium, interfacial properties of the fluids, and the correlations between the pore scale dynamics and system-level transport. This dissertation presents significant advancements in the study of emulsion dynamics within two-dimensional porous media through the development of innovative image analysis and tracking methods. These advancements include precise detection and tracking of deformable objects, which …

Optical Differentiation Wavefront Sensor With Pixelated Filters Toward High Performance Metrology, Biswa R. Swain

Theses

Freeform optics enables enhanced system performance and packaging due to the high degrees of design freedom they provide, but characterizing these optics remains challenging. Phase measurement of an optical wave is essential in the metrology of optical components, adaptive optics, and laser beam quality assessment. The Shack-Hartman Wavefront Sensors are limited by their dynamic range and resolution due to lenslet operation. Interferometric-method-based adaptive nulling requires high-performance wavefront sensor, and coordinate-scanning-based measurements are time consuming. We investigate and develop an Optical Differentiation Wavefront Sensor (ODWS) based on binary pixelated filter that enables high dynamic range, high resolution freeform metrology. Analysis of …

Optimizing Neural Networks For Iiot Attack Detection, Hamad Alblooshi

Theses

The Industrial Internet of Things (IIoT) stands as a revolutionary force, intertwining physical devices, sensors, and industrial systems to usher in advanced automation and data-driven decision-making across various sectors. However, this increased connectivity has exposed these systems to a growing array of cyber threats. Safeguarding IIoT environments becomes crucial to maintain the integrity, availability, and confidentiality of critical industrial processes. In response, this research explores the optimization of neural network parameters using Genetic Algorithms (GA). The application of GA has led to achieve a remarkable accuracy of 95% across various attack types. The results demonstrate a high performance in identifying …

Machine Learning Based Solutions For Detecting Social Media Spam And Phishing Incidents, Ahmed Al Shehhi

Theses

The growing digital interactions across various social media platforms increases the risks of phishing schemes and spam messages that compromise personal and organisational security. This thesis tackles such threats with the aid of machine learning and natural processing techniques that are utilized for detecting malicious communications with high accuracy. A total of three datasets were used in this study, two for phishing and one for spam. The research aims to explore the performance of classification models, including Logistic Regression, Support Vector Machine, Naïve Bayes, and Linear Discriminant Analysis, as well as a hybrid model combining Logistic Regression and Naïve Bayes. …

Integration Of Blockchain And Cryptographic Techniques For Location Based Services, Rashed Al Shamali

Theses

As digital systems continue to evolve in complexity, protecting user identities and ensuring the secure transmission of data has become paramount. Conventional techniques such as passwords and digital signatures are often insufficient to address modern security threats unless paired with more sophisticated technologies. This thesis proposes a framework that integrates Blockchain Technology with Elliptic Curve Cryptography (ECC) to fortify identity verification protocols and enhance location-obscuring methods. Blockchain’s inherent features of decentralization, immutability, and non-repudiation makes it an ideal platform for secure data exchange. When combined with ECC, which provides robust encryption with smaller key sizes, the system achieves a heightened …

Ownership Topology Of Vertically-Scaled Agile, William Dabney

Theses

Much as Scrum, Kanban, and XP are used to structure team-level agility, those wishing to take agility beyond the team level often turn to proven solutions. The most popular, which aim to scale development by adding teams under a shared collective ownership rather than separating them into discrete units, are the Scaled Agile Framework (SAFe), Large Scale Scrum (LeSS), and Nexus. These frameworks advocate for aligning ownership subdivisions along features rather than code, which allows teams working on the same product to do so autonomously. While the benefits of this have been researched, the topology of ownership in these frameworks …

Machine Learning, Fuzzy Logic And Zero Trust-Based Quishing Prevention Solution For Android Smartphones, Felix William

Theses

QR code phishing, or "quishing," exploits the widespread adoption of QR codes to embed malicious URLs that lead users to phishing sites or initiate malware downloads. Unlike traditional phishing methods, QR phishing is uniquely deceptive, leveraging the inherent trust and convenience associated with QR codes while bypassing standard detection mechanisms. This thesis presents the SEQR scanner, a novel solution tailored to detect and prevent QR phishing attacks, specifically focusing on Android platforms. By integrating multiple detection mechanisms—machine learning prediction, fuzzy logic algorithm, and third-party blacklisting APIs—the solution effectively identifies malicious QR codes with precision. A zero-trust-based mechanism is implemented alongside …

Machine Learning Framework For Detecting Ldap Injection Attacks, Rahul Nair

Theses

LDAP injection attacks have posed a growing danger to web application security, utilizing directory service vulnerabilities to obtain unauthorized access or tamper with sensitive information in recent times. In this thesis, a comprehensive method is developed for detecting and preventing LDAP injection attacks by utilizing a role-based access control approach to generate a unique dataset. Various categories and variations of LDAP queries that mimic real attack situations, as well as legitimate benign queries representing typical LDAP operations, are included in the dataset to further classify them based on user roles. Four different machine learning algorithms, including XGBoost, Logistic Regression, Support …

Columbus During The Civil War And Reconstruction

Jackson Purchase Historical Society Journal Archive

Columbus during the Civil War and Reconstruction

William H. Mulligan, Jr.

Valorization Of Spent Vetiver Roots For Biochar Generation, Sameer Neve, Dibyendu Sarkar, Manas Warke, Teresa Bandosz, Rupali Datta

Michigan Tech Publications

Vetiver root is widely used to produce essential oils in the aromatherapy industry. After the extraction of oil, the roots are disposed of as waste. The central objective of this research was to explore the conversion of this waste into a resource using a circular economy framework. To generate biochar, vetiver roots were pyrolyzed at different temperatures (300, 500, and 700 °C) and residence times (30, 60, and 120 min). Analysis showed the root biochar generated at 500 °C and held for 60 min had the highest surface area of 308.15 m2/g and a yield of 53.76%, in addition to …

Climate-Influenced Phenology Of Larval Fish Transport In A Large Lake, Spencer T. Gardner, Mark D. Rowe, Pengfei Xue, Xing Zhou, Peter J. Alsip, David B. Bunnell, Paris D. Collingsworth, Edward S. Rutherford, Tomas O. Höök

Michigan Tech Publications

Elucidating physical transport phenologies in large lakes can aid understanding of larval recruitment dynamics. Here, we integrate a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models to: (1) simulate hatch and transport of fish larvae throughout an illustrative large lake, (2) evaluate patterns of historic and potential future climate-induced larval transport, and (3) consider consequences for overlap with suitable temperatures and prey. Simulations demonstrate that relative offshore transport increases seasonally, with shifts toward offshore transport occurring earlier during relatively warm historic and future simulations. Intra- and inter-annual trends in transport were robust to assumed pelagic larval duration and …

Reflective And Dialogical Approaches In Engineering Ethics Education, Lavinia Marin, Yousef Jalali, Alexandra Morrison, Cristina Voinea

Michigan Tech Publications

This chapter addresses the challenges of implementing reflective thinking in engineering ethics education (EEE). It examines existing methods for teaching ethical reflection in EEE and argues that pedagogical activities aiming to foster ethical reflection need to be infused with dialogical interactions and, at a deeper level, informed by dialogism. Dialogism is understood as a relational approach to inquiry in which interactions between moral agents enable them to develop their own understandings through the process of finding shared meanings with the others in activities such as sharing reasons and deliberation. Drawing on pragmatism and phenomenology, the authors conceptualize reflection as a …

Pcv15, A Pneumococcal Conjugate Vaccine, For The Prevention Of Invasive Pneumococcal Disease In Infants And Children., Timothy J. Chapman, Liset Olarte, Ghassan Dbaibo, Avril Melissa Houston, Gretchen Tamms, Robert Lupinacci, Kristen Feemster, Ulrike K. Buchwald, Natalie Banniettis

Manuscripts, Articles, Book Chapters and Other Papers

INTRODUCTION:

Streptococcus pneumoniae is a causative agent of pneumonia and acute otitis media (AOM), as well as invasive diseases such as meningitis and bacteremia. PCV15 (V114) is a new 15-valent pneumococcal conjugate vaccine (PCV) approved for use in individuals ≥6 weeks of age for the prevention of pneumonia, AOM, and invasive pneumococcal disease.

AREAS COVERED: This review summarizes the V114 Phase 3 development program leading to approval in infants and children, including pivotal studies, interchangeability and catch-up vaccination studies, and studies in at-risk populations. An integrated safety summary is presented in addition to immunogenicity and concomitant use of V114 with …

A Novel Collaborative Learning Model For Mixed Dentition And Fillings Segmentation In Panoramic Radiographs., Erin Ealba Bumann, Saeed Al-Qarni, Geetha Chandrashekar, Roya Sabzian, Brenda S Bohaty, Yugyung Lee

Manuscripts, Articles, Book Chapters and Other Papers

INTRODUCTION: It is critical for dentists to identify and differentiate primary and permanent teeth, fillings, dental restorations and areas with pathological findings when reviewing dental radiographs to ensure that an accurate diagnosis is made and the optimal treatment can be planned. Unfortunately, dental radiographs are sometimes read incorrectly due to human error or low-quality images. While secondary or group review can help catch errors, many dentists work in practice alone and/or do not have time to review all of their patients' radiographs with another dentist. Artificial intelligence may facilitate the accurate interpretation of radiographs. To help support the review of …

Majorie In War And Peace, Gary R. Mormino

The Marjorie Kinnan Rawlings Journal of Florida Literature

No abstract provided.

Why The United States Needs A Gaar, Reuven S. Avi-Yonah

Articles

The Internal Revenue Code of 1986, as amended, has over 1 million words and more than 5,600 pages. It is by far the longest and most complicated law in the U.S. code. The regulations add over 4 million words. Why?

Critical Dialogue And Capacity-Building Projects Reduced Alcohol And Substance Use In A Randomized Clinical Trial Among Formerly Incarcerated Men, Liliane Cambraia Windsor, Ellen Benoit, Carol Lee, Alexis Jemal, Kari Kugler, Douglas C Smith, Rogério M Pinto, Salma Musaad

Faculty, Staff and Students Publications

Background:

Rates of alcohol and/or substance use (ASU) among residents of predominantly Black and marginalized communities are similar to ASU rates in White communities. Yet ASU has worse consequences in predominantly Black and marginalized communities (e.g., higher incarceration).

Objective:

We randomized participants to one of 16 intervention conditions using a 2⁴ full factorial design to optimize a multilevel intervention reducing ASU among 602 formerly incarcerated men with substance-use-disorders (SUD). Candidate intervention components included (1) critical dialogue (CD; six weekly 2-hour-long group sessions vs. no CD sessions), (2) Quality of Life Wheel (QLW; six weekly 1-hour-long group sessions vs. no …