Digital Commons Network^™

Theoretical Investigation Of Hydrogen Abstraction From Fluorinated Propanones And Fluorinated Propanals, Laurel Washburn

Honors Theses

Per- and polyfluoroalkyl substances (PFAS) are a class of thousands of industrially used compounds often called “forever” chemicals because of their slow degradation process that leads to accumulation in soil, dust, drinking water, and the body. PFAS are used for their grease and water resistance properties but some of these compounds are toxic at extremely low levels. To better understand the effects of these types of compounds, the main pathways of their degradation need to be further investigated. This study analyzes computationally the hydrogen abstraction reactions by both hydroxyl radical and triplet oxygen atom for all possible fluorinated propanones and …

Technical Documentation Of The Umass Boston Early Education Cost And Usage Simulator, Alan Clayton-Matthews, Randy Albelda, Anne Douglass, Christa M. Kelleher, Songtian Zeng, Laurie Nsiah-Jefferson

Publications from the Center for Women in Politics and Public Policy

The UMass Boston Early Education CUSP is led by a multidisciplinary team that designed a simulator to produce current, relevant, accurate, and responsive estimates about the key impacts of proposed legislation to expand access to affordable, quality child care and early education. One of the simulator’s valuable features is that it can generate estimates for a range of policy parameters and provisions. The team’s publications aim to provide essential information to guide policymaking on child care and early education affordability, quality, and access in Massachusetts.

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff

Publications

This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand roll reversals during a single suture. To calculate this metric using computer vision, we apply a deep-learning algorithm that can reliably estimate hand roll angles after training on suturing videos collected on the SutureCoach simulator. Results show that the estimation accuracy of the deep-learning algorithm is robust to different video backgrounds. The number of rolls metrics were used to analyze suturing performance in the …

Ellipticity-Controlled Exceptional Points From Nanoscale Metasurfaces, Benjamin Goldberg

McKelvey School of Engineering Graduate Student Theses & Dissertations

Precise control over light polarization is critical for advancing technologies in telecommunica- tions, quantum computing, and image sensing. However, existing methods for manipulating polarization around exceptional points in non-Hermitian systems, have exclusively focused on circular polarization and work with reflected light. To address this limitation, we de- velop a novel metasurface platform with high-Q resonators that enables tunable control of polarization exceptional points across arbitrary ellipticity for transmitted light. Our design uses orthogonally polarized guided mode resonators in a two-layer silicon metasurface, where careful tuning of the dipolar guided mode resonances (DGMRs) and layer spacing allows us to control the …

The Personality Profile Of Libya’S Muammar Gaddafi, Aubrey Immelman

Psychology Faculty Publications

This research report, prepared for the France 5 television documentary “Le Monde en face: Kadhafi, la folie d’un dictateur,” presents the results of an indirect personality assessment of Libyan dictator Muammar Gaddafi from the conceptual perspective of personologist Theodore Millon.

Eco-Digital Trends: Consumer Behavior And Marketing Practices In The Dynamic Context Of Global Warming, Hesham Fazel

Journal of Economics and Administrative Sciences

This study targets climate change awareness of 4.54 billion internet users or 56% of the world's population. It examines the reception of brand messages that bring out the aspects of ecological sustainability in the context of the cultural values of social media users. Theoretical framework: The positive link between consumer behavior and environmental responsibility was derived from a web-based survey and PLS-SEM analysis with 480 participants. Design/methodology/approach: The data obtained from the survey on 480 participants is evaluated through a web-based survey and PLS-SEM model that generates the digital platform's interlinkage of consumer behavior with climate change awareness. Findings: This …

Gotcha ! This Model Uses My Code ! Evaluating Membership Leakage Risks In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsum Kim, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

Leveraging large-scale datasets from open-source projects and advances in large language models, recent progress has led to sophisticated code models for key software engineering tasks, such as program repair and code completion. These models are trained on data from various sources, including public open-source projects like GitHub and private, confidential code from companies, raising significant privacy concerns. This paper investigates a crucial but unexplored question: What is the risk of membership information leakage in code models? Membership leakage refers to the vulnerability where an attacker can infer whether a specific data point was part of the training dataset. We present …

Passing The Whiteness Threshold: The Lived Experiences Of Uk-Based Turkish Academics, Tugay Durak Tugay Durak

Journal of Comparative & International Higher Education

No abstract provided.

Chain Of Preference Optimization: Improving Chain-Of-Thought Reasoning In Llms, Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

The recent development of chain-of-thought (CoT) decoding has enabled large language models (LLMs) to generate explicit logical reasoning paths for complex problem-solving. However, research indicates that these paths are not always deliberate and optimal. The tree-of-thought (ToT) method employs tree-searching to extensively explore the reasoning space and find better reasoning paths that CoT decoding might overlook. This deliberation, however, comes at the cost of significantly increased inference complexity. In this work, we demonstrate that fine-tuning LLMs leveraging the search tree constructed by ToT allows CoT to achieve similar or better performance, thereby avoiding the substantial inference burden. This is achieved …

Impact Of Irrigation Systems On Water Use And Water Productivity: A Case Study Using Aquacrop In Khartoum, Sudan, Abdalhakam Almagzoop

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

Water scarcity significantly challenges agricultural productivity in arid regions like Khartoum, Sudan. This study evaluates the impact of three irrigation systems—furrow, sprinkler, and surface drip—on the water use and productivity of sorghum (Sorghum bicolor L.) under different climatic conditions using the AquaCrop model. Simulations were conducted for three representative years: a wet year (2022), a normal year (2015), and a dry year (2018). The results demonstrate that irrigation substantially improved water use efficiency and crop yield compared to non-irrigated (rainfed) conditions. Rainfed crops resulted in lower biomass, harvest index, and yield, particularly in the dry year, highlighting the importance …

Enhancing Water Sustainability In North Africa: Literature Review And Synthesis Of Current Knowledge Gaps In Sudan, Osman M. A. Adam

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

This study delves into the critical role of groundwater in addressing global water challenges, with a focus on the Nubian Sandstone Aquifer System (NSAS) in north Africa. Groundwater constitutes a source of potable water, irrigation, and industrial use, especially in arid regions where surface water is limited. We analyzed the status of water quantity, withdrawals, recharge, and geological characteristics in the NSAS, specifically in Sudan, Egypt, and Libya. Though the NSAS is largely an untapped resource, water withdrawals from the NSAS in Egypt, Sudan, and Libya are projected to increase substantially from 2000 to 2100 due to population growth, with …

Development And Characterization Of Organic Electrocatalysts For Use In Zinc-Air Batteries, Christopher John Merkel

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

The global deployment of solar photovoltaic and wind power is projected by the International Energy Agency as the primary pathway to reduce dependence on fossil fuels. However, these technologies face a critical bottleneck: their inherently intermittent power generation. For “intermittent renewables” to become the dominant source of electrical energy, efficient energy storage systems are essential. Current storage solutions are not viable on a global scale due to material scarcity, safety concerns, and high capital costs. Among emerging technologies, zinc-air batteries (ZABs) have garnered significant interest. ZABs offer a theoretical energy density five times greater than traditional lithium-ion batteries, utilize safe …

Impacts Of Stream Bed Adjustment On Local Bridge Morphology At Highway 281, Molly G. Likins

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Nebraska sand-bed rivers have long been a part of sediment transport studies and have been used in the development of numerous well-known empirical bedload equations. Some of these studies have shown how adjustments in streambed elevation led to changes in local stream morphology. The sand-bed rivers of Nebraska are highly susceptible to such changes due to their wide, shallow cross-sections and erodibility. The objective of our study is to synthesize a hydrodynamic model with high-resolution field data and improved methods of representing sediment transport to better predict both short and long-term channel adjustments for an aggraded sand-bed river.

The field …

Numerical Study On The Behavior Of Natural And Recycled Aggregate Concretes, Shahriar Mardpour

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This thesis investigates the mechanical behavior of natural and recycled aggregate concretes (NAC and RAC) using a multi-phase numerical approach to predict performance. Growing interest in sustainable materials has led to using recycled concrete aggregates (RCA) to replace natural aggregates, creating Recycled Aggregate Concrete (RAC). Due to their different structural components, RAC and NAC exhibit varying mechanical properties, particularly in strength and durability.

This study validated tension and bending (flexural) test models by comparing numerical results with similar models from the literature. Following validation, a multi-phase approach modeled NAC and RAC for the bending (flexural) and tension tests, providing a …

Not All Samples Are Created Equal: Task-Aware Informative Sampling And Adaptive Inference For Efficient Edge Ai, Rebati Gaire

School of Computing: Dissertations, Theses, and Student Research

The rapid proliferation of Internet of Things (IoT) devices has resulted in an unprecedented influx of data generated at the edge by billions of sensors. Traditional approaches relying on cloud-based processing are increasingly inadequate due to constraints in bandwidth, latency, and privacy. Edge computing has emerged as a transformative paradigm, enabling real-time data processing and decision-making by decentralizing computation to the edge. While the integration of deep learning into edge environments—termed edge intelligence—promises autonomous and personalized operations, it is hindered by challenges such as limited computational resources, energy constraints, and data redundancies.

This thesis addresses these challenges by presenting three …

Using Symbolic Execution To Analyze The Hardware Tcp Protocol, Nianhang Hu

School of Computing: Dissertations, Theses, and Student Research

As the demand for high performance and flexible networking capabilities increases, the shift from software to hardware implementations of stateful networking functions (such as TCP) is becoming increasingly important. This transition not only enhances processing efficiency in modern networking environments where data transmission rates are rising, but it also reduces the inherent CPU overhead found in software implementations, allowing hardware devices to handle network traffic more efficiently. However, validating the correctness of these hardware designs poses significant challenges due to the complex timing requirements and the vast input space associated with packet-level properties.

The verification of packet-level properties requires coverage …

Characteristics Of High-Risk Bipolar Bone Loss Lesions Using 3-Dimensional Imaging, Petar Golijanin, Justin Arner, Claire Ryan, Qais Zai, Liam Peebles, Annalise Peebles, Phob Ganokroj, Ryan Whalen, Stephanie Eble, Danielle Rider, Srdjan Ninković, Matthew Provencher

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: The concept of on-track versus off-track bone lesions in glenohumeral instability continues to evolve. Although much has been ascertained from an original biomechanical model, bony pathological changes, especially on 3-dimensional (3D) imaging, have not been fully evaluated.

PURPOSE: To compare the differences in on-track versus off-track lesions to characterize glenoid and humeral head bone defects using 3D modeling software.

STUDY DESIGN: Cross-sectional study; Level of evidence, 3.

METHODS:A consecutive cohort of 75 patients with recurrent anterior instability, with evidence of Hill-Sachs lesions (HSLs) and
glenoid bone loss (GBL) and a mean age of 27.1 years (range, 18-48 years), were …

Strategies For Competitive Advantage In Libraries And Information Centers, De-Graft Johnson Dei, Linda Anane-Donkor

Library Philosophy and Practice (e-journal)

Libraries and information centers keep experiencing sluggish growth due to the absence of an integrated and coherent strategy that can be deployed to enable them to be competitive, have a competitive advantage, and gain market position. This study, therefore, sought to assess the strategies for competition in libraries and information centers and develop a framework that can be deployed in libraries and information centers for competitive advantage. The study adopted a conceptual and qualitative approach to research. Based on the review and analysis, the researcher developed a framework that suggests that technology (infrastructure, social media systems, gamification, and artificial intelligence) …

Leveraging Geo-Ai To Evaluate Conservation Land Conditions In Nebraska, Usa, Fnu Jahangeer

Community and Regional Planning Program: Theses

Wetlands are among the most vital natural resources, offering extensive ecosystem services that benefit human societies. However, human activities and disturbances have led to widespread wetland degradation and loss worldwide. Key factors contributing to this degradation include pollution, exploitation of biological resources, modifications to natural systems, and agricultural and aquacultural practices. This study examines wetland conservation efforts in Nebraska, focusing on three main areas: (1) AI-Driven Applications in Google Earth Engine for Surface Water Monitoring, Assessment, and Management; (2) Assessing Wetland Hydrological Performance under Three Conservation Programs in Nebraska through AI-Driven Google Earth Engine Analysis; and (3) Identifying Potential Wetland …

Artificial Intelligence And Cracks In The Foundation Of Intellectual Property, Robin Feldman

UC Law Journal

Our implicit image of progress and the standards we use to calibrate human contribution to progress are quietly at risk from the onslaught of artificial intelligence (AI). AI has the potential to significantly shrink the pool of creative work that is protectable by intellectual property (IP) law and the range of information that is protectable, as well as shrinking the value proposition of IP regimes themselves.

As society faces this changing landscape, we must tread carefully to distinguish fears about AI from the task of defining the boundaries of intellectual property, whose theoretic concepts aren’t designed to bear such weighty …

Harnessing Collective Structure Knowledge In Data Augmentation For Graph Neural Networks, Rongrong Ma, Guansong Pang, Ling Chen

Research Collection School Of Computing and Information Systems

Graph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn representations through recursively aggregating information from each node and its neighbors, are among the most commonly-used GNNs. However, a wealth of structural information of individual nodes and full graphs is often ignored in such process, which restricts the expressive power of GNNs. Various graph data augmentation methods that enable the message passing with richer structure knowledge have been introduced as one main way to tackle this issue, but they are often focused on individual structure features and difficult to scale up with …

Immediate Effect Of Local Vibration On Motor Unit Firing Behavior And Muscle Strength In Healthy Young Adult Males, Yuichi Nishikawa, Aleš Holobar, Kohei Watanabe, Toshihiko Komatsuzaki, Takanori Chihara, Jiro Sakamoto, Takashi Kawagoe, Hidetaka Nagayasu, Kyoko Mori, Kenji Kawano, Noriaki Maeda, Shinobu Tanaka, Allison S. Hyngstrom

Physical Therapy Faculty Research and Publications

Purpose

The aim of this study was to examine the effect of vibration on motor unit (MU) firing behavior and physical performance of antagonist muscles in healthy young adult males.

Methods

Fourteen males (age = 24.3 ± 3.6 years) were included in this study. There were two conditions, one in which participants received 80 Hz vibration in the distal tendon of the hamstring for 30 s and the control condition (no vibration). High-density surface electromyography (HD-SEMG) signals and maximal voluntary contraction (MVC) of knee extensor muscles were evaluated before and after the respective conditions and recorded from the vastus lateralis …

Relative Muscular Effort In The Older Adults During The Sit-To-Stand Task: Monitoring Neuromuscular Reserve And Movement Limitations, Nayun Ahn, Michael H. Haischer, Cara L. Lewis, Kristof Kipp

Exercise Science Faculty Research and Publications

Background

Due to lower maximum strength, older adults purportedly need to exert greater muscular effort to stand up from a chair. This study investigated joint-specific muscular effort during a sit-to-stand by calculating relative-muscular-effort and investigating differences between healthy older and young adults.

Methods

Fifteen older (age: 69.9 ± 3.5 years) and 15 young (age: 22.2 ± 2.6 years) adults performed five self-paced sit-to-stand trials. Kinematic and kinetic data were collected and used to calculate inverse dynamics net joint moment. Peak isometric knee and hip extensor torques were measured and used as inputs to regression models that predicted angle- and velocity-dependent …

Cognitive Apprenticeship Strategies For The Media Literacy Classroom, Nate Floyd, Jaclyn Spraetz

Communications in Information Literacy

Inspired by the apprenticeship model of teaching and learning, two instructors report on their efforts to place current events at the center of a semester-long media and information literacy course. They discuss strategies to harness curiosity about contemporary topics (e.g., misinformation, climate change, algorithms, right-to-repair, blockchain, artificial intelligence, etc.), and create engagement-driven course content. The paper provides concrete examples of activities and assignments used to situate learning in real-world contexts and build students' confidence in navigating information independently. This case study offers insights for other educators seeking to apply cognitive apprenticeship principles to media and information literacy instruction.

Building On Strengths: A Collaborative, Asset-Focused Approach To Teaching Critical Information Literacy Skills, Rebecca B. Penrose, Kristi J. Chavez

Communications in Information Literacy

This article showcases an instructor–librarian collaborative model for teaching critical information literacy (CIL) skills in a higher education course by incorporating interactive workshops into a sequence of required course assignments. Using an asset-focused design, this assignment sequence allows students to first demonstrate their existing research strategies and then evaluate those strategies during workshop activities, applying the CIL principles they are learning. In this way, the approach recognizes students’ existing strengths and builds upon them, while emphasizing self-reflection opportunities and an intentional research focus on diversity, equity, inclusion, and representation. Results from our one-year study are also highlighted. The suggested instructional …

Centering Relevance In Information Literacy Teaching And Learning, Anne Jumonville Graf

Communications in Information Literacy

The process of determining whether a source of information is relevant is multidimensional, dynamic, and subjective. This essay puts information science scholarship on relevance, including the process and nature of making relevance judgments, in conversation with models of teaching and learning information literacy. Teaching librarians are encouraged to recognize students’ relevance judgments as sites of reflection and instruction. This essay suggests a variety of ways librarians might do this, from re-thinking source evaluation methods to emphasizing the opportunities available at the source selection stage. The process of determining relevance is a practical site of reflective possibility and deserves greater attention …

Environmental Light Controls The Daily Organization Of Breathing By Activating Brn3b-Expressing Intrinsically Photosensitive Retinal Ganglion Cells In Mice, Aaron A. Jones, Allison R. Spears, Deanna M. Arble

Biological Sciences Faculty Research and Publications

Rhythmic, daily fluctuations in minute ventilation are controlled by the endogenous circadian clock located in the suprachiasmatic nucleus (SCN). While light serves as a potent synchronizer for the SCN, it also influences physiology and behavior by activating Brn3b-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs). It is currently unclear the extent to which the external light environment shapes daily ventilatory patterns independent of the SCN. To determine the relative influence of environmental light versus circadian timing on the organization of daily rhythms in minute ventilation, we used whole-body plethysmography to measure the breathing of mice housed on a non-entraining T28 cycle …

Does Self-Care Moderate The Association Between Adverse Childhood Experiences, Trauma Symptoms, And Parental Reflective Functioning?, Vinaya Thomas

Electronic Theses and Dissertations

Unresolved adverse and traumatic experiences in parents can amplify the risk of perpetuating intergenerational transmission of trauma. Parents’ positive and adaptive practices such as self-care might act as a protective factor against this ripple effect. This study investigated whether self-care moderated the relationship between parental ACEs, post-traumatic stress symptoms, and parental reflective functioning in mothers who are experiencing high psychosocial stress (n = 59) residing in rural Appalachia. Within our sample, there was no statistically significant linear relationship between our predictors, ACE score and PTSD symptoms, and our outcome of interest, maternal pre-mentalizing. We did not find empirical support for …

Elevation And Population Size Effects On The Survival Of Drosera Rotundifolia, Jessica Williams

Electronic Theses and Dissertations

Carnivorous plants face significant conservation challenges due to habitat destruction, climate change, and illegal harvesting. This study explores how elevation and population size influence key-life history traits of D. rotundifolia, such as flowering phenology, prey capture efficiency, seed production, and germination rates. Higher elevations and larger populations are associated with extended flowering durations and increased prey capture. However, seed production and germination rates show complex patterns that are likely influenced by genetic diversity, resource availability, or environmental conditions. These insights inform targeted conservation strategies, emphasizing habitat preservation, enhancing prey availability, and maintaining genetic diversity. Public education and community engagement …

Graduation Rates Of Students With Disabilities At A Participating Southern University, Kelly Mitchell

Electronic Theses and Dissertations

The purpose of this non-experimental, correlational quantitative study was to compare the graduation rates of first-time, full-time students with disabilities to those of first-time, full-time students in the general population at the participating university. The sample used for analysis was full-time, first-time students entering between 2015 and 2020. Using archival data from the Disability Services database and the University's Banner system, four- and six-year graduation rates were compared. The original data set consisted of 22,070 students in the starting focus cohorts. After removing entering transfer students and students who enrolled in less than 15 credits for their entering semester, 8,337 …