Digital Commons Network^™

Automatic Heap Primitive Detection For Exploit Development, Rachel Glockenmeier

Masters Theses & Doctoral Dissertations

The problem of fully automating heap exploit generation remains unsolved. An examination of current research in this field reveals that it is both a challenging research topic and one that is currently understudied relative to stack-based automation. This research has the potential to help understand and detect memory-related issues, such as memory leaks, within a program, without needing to spend significant time studying the program or to more quickly triage a given vulnerability to understand its potential impacts and the possibility for exploitation. Even in the most compelling related research, there are significant gaps before it will be possible to …

Mirage: A Vba Macro Emulator For Behavioral Analysis Powered By Machine Learning, Corey Mathew Hartman

Masters Theses & Doctoral Dissertations

Microsoft Office documents being utilized for the distribution of malware has become an increasing problem, and in recent years the utilization of malware distributed through malicious Microsoft Office documents has seen an increase. Current research has found machine learning algorithms to be effective in the detection of malicious Office documents by the use of static document properties for a method of detection. However, this provides the author of such malicious Office document macros control of the parameters utilized in machine learning techniques for detection, and by utilizing static macro properties, this does not allow for the extraction of behavioral details …

Detection Circuit For A2 Trojan In Lsib, Zimian Meng

Electrical Engineering Theses and Dissertations

The IEEE 1687 standard is specifically designed for access and dynamic path management of embedded instruments. The standard uses ICL (Instrument Connectivity Language) to define the hardware architecture and PDL (Procedural Description Language) to describe the access processing. These languages enable more flexible ways of accessing embedded instruments. IEEE 1687 also defines the SIB (Segment Insertion Bit), which is a single bit TDR (Test Data Register). By controlling the opening or closing of SIB, it is possible to insert an additional TDR to or remove a TDR from the active scan network. The SIB can be regarded as a path …

Dogs As Proxies For Forager-Farmer Interactions Along The Missouri River, North And South Dakota, Abigail Fisher

Anthropology Theses and Dissertations

This research explores the interaction between hunter-gatherer and farmer populations through time on the northern Great Plains of North American, a frontier both in the past and today. Here, the first introduction of farming products, specifically corn, can be tracked archaeologically, by mapping changes in the presence of maize in the diet of dogs recovered from human settlements. Dog diets are used in this study as a proxy for maize availability following the assumption that domesticated canines consume foods like their owners, be it by direct provisioning or scavenging. Of specific interest is the strategies Indigenous foraging populations employed after …

Monitoring The Seasonal Presence Of The Blue Shiner, Cyprinella Caerulea, In Little River Canyon National Preserve Using Environmental Dna, Deanna Meadows

Theses

The study of environmental DNA (eDNA) has provided researchers with a more accessible and sensitive way to identify the presence of specific species compared to traditional monitoring methods. eDNA enables species detection by analyzing environmental samples such as water or soil, which contain genetic material shed by organisms in a given area. Research indicates that eDNA techniques have become a valuable method for monitoring threatened and invasive species, proving particularly reliable for detecting aquatic species compared to traditional techniques. Quantitative PCR (qPCR) has been used in numerous eDNA studies, as it provides for greater accuracy than conventional PCR. Cyprinella …

Identifying Neural Correlates Of Balance Impairment In Traumatic Brain Injury Using Partial Least Squares Correlation Analysis, Vikram Shenoy Handiru, Easter Selvan Suviseshamuthu, Soha Saleh, Haiyan Su, Guang Yue, Didier Allexandre

School of Computing Faculty Scholarship and Creative Works

Objective. Balance impairment is one of the most debilitating consequences of traumatic brain injury (TBI). To study the neurophysiological underpinnings of balance impairment, the brain functional connectivity during perturbation tasks can provide new insights. To better characterize the association between the task-relevant functional connectivity and the degree of balance deficits in TBI, the analysis needs to be performed on the data stratified based on the balance impairment. However, such stratification is not straightforward, and it warrants a data-driven approach. Approach. We conducted a study to assess the balance control using a computerized posturography platform in 17 individuals with TBI and …

Fall/Winter 2024, Office Of University Marketing And Communications

Bryant Magazine (1997-2019)(2024-present)

No abstract provided.

Salary Report, 2024 October, Eastern Michigan University

EMU Salary Reports

No abstract provided.

Producer Services: An Engine For High-Wage Job Growth, October 2024

Bureau of Business Research Publications

Producer Services: An Engine for High-Wage Job Growth from the Bureau of Business Research at the University of Nebraska, October 2024.

Construction And Application Of Multi-Dimensional Portrait System For Green Technology Innovation Enterprises In China: Taking The Green Transportation Technology Field As An Example, Wenke Hao, Jianlin Yang, Lei Miao

Journal of Scientific Information Research

[Purpose/significance]By constructing and applying the multi-dimensional portrait system of green technology innovation enterprises in China, this paper aims to comprehensively understand the status quo, advantages and obstacles of enterprises in specific fields in green technology innovation, so as to provide scientific references and suggestions for relevant government departments and decision makers of enterprises. [Method/process]Based on resource based view and environmental dependence theory, we select the internal and external labels of enterprises, and designs a multi-dimensional label system to objectively describe the performance of enterprises in terms of profitability,scientific research and innovation, public opinion and environmental responsibility. Then, the green technology …

Comprehensive Analysis Of Adverse Events Following Covid-19 Vaccination: Insights From Diverse Data Sources, Yiming Li

Dissertations and Theses (Open Access)

This dissertation investigates adverse events (AEs) associated with COVID-19 vaccinations through a multi-faceted approach involving structured and unstructured data. The study is organized into three specific aims, each contributing to a comprehensive understanding of vaccine safety. Aim 1 focuses on the temporal and spatial analysis of AEs reported in the Vaccine Adverse Event Reporting System (VAERS). We performed a detailed temporal analysis to detect patterns over time, revealing a significant increase in reported AEs shortly after the vaccine rollout. Spatial analysis highlighted regional variations in AE reporting, with higher frequencies observed in middle and north regions of the United States …

Proteins Required For Stereocilia Elongation During Mammalian Hair Cell Development Ensure Precise And Steady Heights During Adult Life., Elli I Hartig, Matthew Day, Amandine Jarysta, Basile Tarchini

Faculty Research 2024

Mammalian auditory hair cells (HCs) are not naturally regenerative and must preserve their elaborate structure to ensure lifelong hearing. Stereocilia, the actin-based projections at the HC surface that detect sound vibration, are particularly vulnerable to damage incurred from noise and aging. We show that the tip-localized protein module GPSM2–GNAI required for stereocilia development is also involved in stereocilia maintenance in mature cells. Inactivating Gpsm2 in adult mouse HCs results in low-frequency hearing deficits and stereocilia height reduction proportional to the region reported to turn over actin at the distal tip. Molecular insight into how actin exchange ensures stable height in …

Obo Foundry Food Ontology Interconnectivity, Damion Dooley, Liliana Andres-Hernandez, Georgeta Bordea, Leigh Carmody, Duccio Cavalieri, Lauren Chan, Pol Castellano-Escuder, Carl Lachat, Fleur Mougin, Francesco Vitali, Chen Yang, Magalie Weber, Hande Kucuk Mcginty, Matthew Lange

Faculty Research 2024

No abstract provided.

Machine-Guided Design Of Cell-Type-Targeting Cis-Regulatory Elements., Sager J Gosai, Rodrigo Castro, Natalia Fuentes, John C Butts, Kousuke Mouri, Michael Alasoadura, Susan Kales, Thanh Thanh L Nguyen, Ramil R Noche, Arya S Rao, Mary T Joy, Pardis C Sabeti, Steven K Reilly, Ryan Tewhey

Faculty Research 2024

Cis-regulatory elements (CREs) control gene expression, orchestrating tissue identity, developmental timing and stimulus responses, which collectively define the thousands of unique cell types in the body1–3 . While there is great potential for strategically incorporating CREs in therapeutic or biotechnology applications that require tissue specificity, there is no guarantee that an optimal CRE for these intended purposes has arisen naturally. Here we present a platform to engineer and validate synthetic CREs capable of driving gene expression with programmed cell-type specificity. We take advantage of innovations in deep neural network modelling of CRE activity across three cell types, efficient in silico …

Nsu Kpcom Link - Fall 2024 - Volume 3.3, Nova Southeastern University

NSU Florida Link Newsletter

No abstract provided.

Natasha, Pierre, & The Great Comet Of 1812, Otterbein Theatre And Dance Department

2024-2025 Season Productions

No abstract provided.

The Importance Of Being Earnest, Otterbein Theatre And Dance Department

2024-2025 Season Productions

No abstract provided.

The Ninth Circuit’S Rfra Standard Of “Substantial Burden” As Applied To Native American Sacred Sites, Erik Renner

UC Law Constitutional Quarterly

This paper focuses on the Ninth Circuit’s understanding of the “substantial burden” standard under RFRA as it is applied to Native American sacred site cases. This paper looks at the old Ninth Circuit’s standard as set out in Navajo Nation, and its new standard as set out in Apache Stronghold. By understanding how the courts, specifically the Ninth Circuit, have limited their definition of the “substantial burden” under RFRA in sacred site cases, this paper will argue that the standard should be expanded to include “preventing religious exercise.” This expansion of what is a “substantial burden” under RFRA will better …

Middle School Administrators' Perceptions And Processes In Supporting Their Teachers And Students, Moses K. Ochanji, Roxanne Greitz Miller, Benjamin E. Seipel, Erika Daniels, Rong-Ji Chen

Education Faculty Books and Book Chapters

This paper explores the perceptions and processes of middle school administrators in California regarding the support for their students and teachers. Through semi-structured interviews, the study reveals how administrators conceptualize their roles, determine student needs, and ensure the provision of appropriate support. Key findings highlight the importance of a student-centered approach, the integration of social-emotional learning, and the significance of equity and inclusion in middle school leadership. These findings have implications for policy and practice, particularly in the context of professional development for middle school administrators.

Impact Of Total Participation Techniques On Student Achievement, Ashley Zacharias

Master's Theses & Capstone Projects

The purpose of this action research project was to determine if incorporating total participation techniques into a fifth-grade literacy classroom would increase reading comprehension scores. This researcher was driven to find a teaching strategy that would boost student engagement, participation and academic achievement. It has been proven that student centered learning increases student participation. Evidence has shown increasing student participation and engagement leads to an increase in academic achievement. A quantitative study was used to determine the effectiveness of total participation techniques in a fifth-grade literacy classroom. Comprehension assessment data was collected and analyzed. Data analysis revealed 84% of participants …

Bcaas Newsletter Fall 2024, Bcaas

BCAAS Newsletter

No abstract provided.

A Guideline For Open-Source Tools To Make Medical Imaging Data Ready For Artificial Intelligence Applications: A Society Of Imaging Informatics In Medicine (Siim) Survey, Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine Andriole, Peter Chang, Keyvan Farahani, Mona Flores, Les Folio, Sina Houshmand, Maryellen Giger, Judy Gichoya, Bradley Erickson

Department of Radiology Faculty Papers

In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tackle clinical challenges underscores the necessity for preparing high-quality medical imaging data. Proper data preparation is crucial as it fosters the creation of standardized and reproducible AI models while minimizing biases. Data curation transforms raw data into a valuable, organized, and dependable resource and is a fundamental process to the success of machine learning and analytical projects. Considering the plethora …

Hardware Control Unit For Trusted Program Verification System, Jake Owen Alt

Master's Theses

Trust in the underlying hardware is the foundational step towards trusting the correctness and integrity of a software application. However, verifying that today's extremely complex processors work exactly as intended has not been feasible, as evidenced by several recent hardware bugs. Trustworthy, formally verified processors currently forego intricate performance enhancements such as out-of-order execution, hampering them substantially versus their less secure counterparts.

The Containment Architecture with Verified Output (CAVO) system solves this problem by isolating the host system and requiring the result of each instruction to be validated by a small, trusted hardware module called the Sentry. Any transmissions to …

Leads Data Insights: Equity — October 2024, University Of North Dakota

LEADS Implementation Documents

October 2024 Data Insights presentation for the EQUITY core value of UND LEADS. The slides review Equity-related Activity Inventory coverage and summarize data on differential student retention and degree-completion outcomes, textbook and course-resource costs, and student subpopulation trends.

El Campanario (Volume 1, Issue 1), St. Mary's University

Honors Program Newsletters

No abstract provided.

Strategies For Prevention And Management Of Non-Communicable Diseases Among Community Women In Nigeria: Insights For Family Social Welfare, Abiola Adiat Omokhabi Dr

Journal of Human Services: Training, Research, and Practice

In this study, modifiable risk factors, prevention and management plans for non-communicable diseases (NCDs) among women were examined. This study examined published and grey literature that was gathered from a number of sources, such as open data portals on the five major illness categories that make up the NCDs such as cardiovascular diseases (CVDs), diabetes, malignancies, chronic respiratory diseases, and mental health. Literature shows that the primary behavioural risk factors for NCDs, including CVDs, diabetes, and cancer(malignancies), can be largely avoided. Inactivity, tobacco use, alcohol use, and unhealthy eating habits (often high in processed sugar, fats, and salt) are a …

Training Counselors In Clinical Case Formulation: A Proof Of Concept Of The Thematic Mapping Method, Christina E. Jeffrey, Charles Ridley, Nina Quintana, Taylor Parks

Journal of Human Services: Training, Research, and Practice

Case formulation, or the way in which clinicians synthesize client information and formulate appropriate treatment directions, is a crucial part of counseling and clinical training. Thematic mapping is a transtheoretical, transdiagnostic strategy of case conceptualization that provides a holistic, complex, multicultural formulation of clients. This proof of concept study evaluated the relationship of a training in the thematic mapping method and case conceptualization quality. Supervisors trained six second-year counselors in the method, along with application to clinical cases, during weekly group supervision. Case formulation complexity, evidence of a systematic approach, level of detail, and goodness-of-fit from client data to synthesized …

The Collateral Consequences Of School Disciplinary Records, Eve Rips

UIC Law Open Access Faculty Scholarship

No abstract provided.

Kentucky Geological Survey Landslide Inventory [2024], Matthew M. Crawford, Evelyn M. Bibbins, Hudson J. Koch

Research Data--KGS

The KGS landslide inventory provides the locations of known landslides and areas susceptible to debris flows. Various types of landslides are represented including slides, flows, rockfalls, and creep. The data are available as ArcGIS geodatabase feature classes. Landslide locations and associated attributes are compiled from Kentucky Geological Survey research, published maps, state and local government agencies, the public, and media reports. A confidence ranking system assigns a value to each feature. A description of the feature classes is here: https://kgs.uky.edu/kgsmap/helpfiles/landslide_help.shtm

The inventory viewed in a GIS with geology, soils, slope or other terrain-based data can serve as a basis for …

Cardiovascular Biomarkers Using Deep Learning And Retinal Imaging For The Assessment Of Systemic Disease, Ivan Coronado

Dissertations and Theses (Open Access)

Fundus photography is a radiation-free, non-invasive imaging modality widely employed to assess both ocular and systemic diseases in population-level applications. Traditional methods for extracting cardiovascular biomarkers rely on quantifying vascular features in these images to identify indicators of disease. However, these approaches often depend on manual clinical expertise, which can be costly and time-consuming, making them impractical for large-scale datasets. Deep learning offers a compelling alternative to traditional techniques by enabling the automated processing of extensive datasets with high accuracy. Despite its advantages, deep learning models often function as "black boxes," making it challenging to interpret the features they prioritize …