Digital Commons Network^™

Efficient And Effective Learning Of Foundational Large Multi-Modal Models, Yiren Jian

Dartmouth College Ph.D Dissertations

The investigation of large multi-modal models (LMMs) has emerged as a focal point within the Deep Learning community, showcasing its prominence in contemporary research. LMMs exhibit the capacity to take data from diverse modalities, enabling them to execute a myriad of tasks by leveraging complementary information for enhanced predictive capabilities. The learning process of LMMs is bifurcated into two crucial stages: the computationally intensive pre-training stage, aimed at acquiring general representations from web-scale noisy data, and the subsequent fine-tuning stage, focusing on adapting pre-trained models to specific tasks.

Traditionally, the pre-training of foundational LMMs has been considered a privilege limited …

Social Interactions And Spatial Structure Drive Community Assembly Of Bacterial Biofilm, Matthew C. Bond

Dartmouth College Ph.D Dissertations

Despite the critical nature which microbial communities play in the natural world and human civilization, the breadth of understanding remains shallow. Challenged by scale, high variability between environments, and extensive diversity, microbial ecologists strive to understand connections between a community’s structure and function, as well as the ecological and evolutionary mechanisms underlying observed natural patterning of communities. Biofilms are the predominate mode of growth for microbial communities—characterized by cellular attachment to a surface via a self-produced matrix and heterogeneous structure, often resulting in a primary growth front along the biofilm surface due to differential access to bulk nutrients (cite). This …

Governing Dynamic Watersheds Under Static Institutions – Examining How Local Governments Respond To Floods And Droughts In The United States, Jonathon R. Loos

Dartmouth College Ph.D Dissertations

The U.S. has seen a shift towards decentralized watershed governance in recent decades that has increased the delegation of management responsibilities to local governments and community organizations. This shift has precipitated the emergence of multilevel watershed governance systems (e.g. national, state, regional, local management levels) that are hypothesized to be more adaptive and responsive to local needs. However, multilevel governance systems risk complicating and overburdening the role of local governments within watershed management, and little is known about how local governments address socio-ecological change within multilevel institutions. Working within several U.S. watershed geographies, this dissertation seeks to interrogate theories of …

The Role Of Flo11 In Saccharomyces Cerevisiae Colonization Of The Lepidopteran Gastrointestinal Tract, Kayla Jeanette Minor

Honors Program Theses

No abstract provided.

Balancing Progress And Ethics: Exploring The Science And Ethics Of Gene Editing: Literature Review, Jackson Burgess

Honors Program Theses

Two decades ago, the completion of the Human Genome Project marked a pivotal milestone in scientific history, unraveling the blueprint of human DNA and laying the foundation for the Genetic Revolution. This monumental achievement allows researchers to uncover the correlations between DNA sequences and biological functions. Today, this movement has propelled modern geneticists toward the peak of human health sciences: the ability to manipulate the very essence of our being. With the aid of Genetic Engineering, scientists now possess the capability to alter the fundamental framework of our genetic code, offering the potential to cure fatal genetic disorders alongside other …

Framing A Feminist Phenomenological Inquiry Into The Lived Experiences Of Women Entrepreneurs, Edicleia Oliveira, Serge Basini, Thomas M. Cooney

Articles

Purpose – This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women’s entrepreneurship research and the suitability of interpretative phenomenological analysis (IPA) to the proposed framework.

Design/methodology/approach – The article critically examines the current state of women’s entrepreneurship research regarding the institutional context and highlights the benefits of a shift towards feminist phenomenology.

Findings – The prevailing disembodied and gender-neutral portrayal of entrepreneurship has resulted in an equivocal understanding of women’s entrepreneurship and perpetuated a male-biased discourse within research and practice. By adopting a feminist phenomenological approach, this article argues for the importance …

Framing A Feminist Phenomenological Inquiry Into The Lived Experiences Of Women Entrepreneurs, Edicleia Oliveira, Serge Basini, Thomas M. Cooney

Articles

Purpose: This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women's entrepreneurship research and the suitability of interpretative phenomenological analysis (IPA) to the proposed framework. Design/methodology/approach: The article critically examines the current state of women's entrepreneurship research regarding the institutional context and highlights the benefits of a shift towards feminist phenomenology. Findings: The prevailing disembodied and gender-neutral portrayal of entrepreneurship has resulted in an equivocal understanding of women's entrepreneurship and perpetuated a male-biased discourse within research and practice. By adopting a feminist phenomenological approach, this article argues for the importance of considering the …

A Literature Review Of Factors Contributing To Archaeal Diversity, Anna R. Carmen

Honors Program Theses

Archaea, being classified as its own separate domain only within the past fifty years, has earned a reputation of being notoriously difficult to culture in a laboratory setting. Because of this, their functions in ecosystems and potential for use in bioremediation is largely unknown and untapped. In order to further develop methodologies to successfully cultivate these microbes, an analysis of past research is needed to help understand where to lead research. After analyzing past studies on archaea and recalcitrant microbes as a whole, it is found that other factors are often overlooked and a label of recalcitrance is added. This …

Using Fiddler Crab Species To Identify Coastal Biomes Around The Perimeter Of The Atlantic Ocean, Amber Finke

Honors Program Theses

Organisms are distributed differentially across world’s surface based on many environmental characteristics. What part do physical characteristics play in demarcating the distribution of species? Using several international fiddler crab collections and GIS-linked sets of habitat factors, I sought an answer to this question. Geographic distribution data for 23 species from over 1700 collecting sites situated along the coasts of Europe, Africa, North America, Central America, the Caribbean Islands, and South America were used to characterize coastal biogeographic biomes around the perimeter of the North and South Atlantic Ocean. As an initial objective, the exact geographic distribution of each species based …

Using Shapley Additive Explanations And Saliency For Interpretation Of Multiclass Classification Of Pdx Spectral Data With Deep Neural Networks, Mohd Rifqi Rafsanjani, Alison Dooney, Rahul Suresh, Alice C. O'Farrell, Monika A. Jarzabek, Liam Shiels, Annette T. Byrne, Jochen H.M. Prehn, Aidan D. Meade

Conference papers

The identification of spectral markers differentiating disease states when using spectral data is challenging in the context of modelling with deep neural networks, particularly in scenarios where classification models are developed with multiple classes. While a number of approaches do exist which can provide an insight into the features which are learnt by deep learning models, in biophotonics and chemical imaging these have received relatively little attention. In the present work we pilot the use of Fourier Transform chemical imaging with two deep-learning interpretation approaches within the context of a multi-class classification problem. Fully connected neural networks are developed on …

Optimisation Of Polyphenol Extraction For The Valorisation Of Spent Gin Botanicals, Ekene C. Umego, Catherine Barry-Ryan

Articles

An average of 0.21 kg spent gin botanicals (SGB) is generated for every 1 L of gin, making it the major by-product of gin distillation. The present circular economy dynamics and increased awareness on resource use presents an opportunity for valorisation of SGB. SGB was optimised for polyphenol extraction using a three-factor Box-Behnken Design in response surface methodology (RSM). This was used to both optimise and study how the extraction variables affected yields and values of polyphenol and antioxidant activity of SGB. The generated optimum conditions for polyphenol extraction from SGB were 50% (v/v) solvent concentration, 40 mL g−1 solvent: …

Toward Circular Economy: Potentials Of Spent Coffee Grounds In Bioproducts And Chemical Production, Hisham Ahmed, Rasaq S. Abolore, Swarna Jaiswal, Amit K. Jaiswal

Articles

With growing concern over environmental sustainability and dwindling fossil resources, it is crucial to prioritise the development of alternative feedstocks to replace fossil resources. Spent coffee grounds (SCGs) are an environmental burden with an estimated six million tons being generated on a wet basis annually, globally. SCGs are rich in cellulose, lignin, protein, lipids, polyphenols and other bioactive compounds which are important raw materials for use in industries including pharmaceuticals and cosmetics. Furthermore, the energy sector has the potential to capitalize on the high calorific value of SCGs for biofuel and biogas production, offering a sustainable alternative to fossil fuels. …

Transforming Lives For Eternity: 2023-2024 Year End Summary, Southern Adventist University

Strategic Plans

Southern Adventist University's Strategic Plan Year End Summary for the year 2023-2024.

Computational Insights Into Graph Data: Representation, Embedding, And Applications, Lili Wang

Dartmouth College Ph.D Dissertations

Graphs are ubiquitous structures that model relationships across domains, from social networks to biological systems. This thesis, titled ``Computational Insights into Graph Data: Representation, Embedding, and Applications,'' investigates advanced methodologies for analyzing graph data through innovative representation learning and embedding techniques.

A key focus is developing hyperbolic node embeddings to efficiently capture hierarchical and structural patterns in complex networks. This work introduces novel gradient computation methods in hyperbolic spaces, extends these embeddings to heterogeneous and dynamic networks, and addresses challenges in maintaining structural role proximity.

In addition, this thesis explores methods for structural role embeddings, enabling the representation of nodes …

An Fpga-Based Eit System For Deep Space Medical Imaging, Kendall R. Farnham

Dartmouth College Ph.D Dissertations

Dangers associated with high radiation and microgravity exposure in space are critical challenges inhibiting us from exploring deep space and pursuing long-duration missions, as current medical systems are unable to monitor, diagnose, or treat tissue injury within physical spacecraft constraints and communication limits. Ultrasound (US) is the current imaging system used on the International Space Station, but this technology relies on telemedical support (or onboard artificial intelligence/autonomous capabilities) for both operation and diagnosis, posing challenges for crews isolated in deep space. Electrical impedance tomography (EIT) is a non-invasive, non-ionizing technology that produces images of the electrical properties of tissues and …

Energy Content Of Acorns Of Shinnery Oak (Quercus Havardii) In The Diet Of Scaled Quail (Callipepla Squamata) In Southeastern New Mexico, J.L. Hunt, M.E. Grilliot, T.L. Best, D. Lozano-Lopez, E.R. Neilson, I.C. Castillo

Journal of the Arkansas Academy of Science

Shinnery oak (Quercus havardii) is a deciduous, low-growing shrubby tree that is a dominant plant in large areas of grassland in western Oklahoma, the Texas Panhandle, and eastern New Mexico. Acorns of the plant are important food items for many wildlife species, including scaled quail (Callipepla squamata), mourning doves (Zenaida macroura), and endangered lesser prairie-chickens (Tympanuchus pallidicinctus). We analyzed the energy content of acorns of shinnery oak obtained from the crops of scaled quail collected from plains-mesa sand-scrub in Lea and Eddy counties, New Mexico. Acorns were removed from crops and dried for 48 hours at 60°C to remove moisture …

Constitutionalizing Racism, Jonathan Feingold

Faculty Scholarship

Unreasonable is Devon Carbado at his best. Through accessible prose, carefully crafted hypotheticals, effective visualizations, and some cross-examination (for the reader), Carbado reintroduces us to the Fourth Amendment. In arresting detail, Unreasonable" exposes how the Supreme Court has turned the Fourth Amendment against “the people”—and specifically, against people racialized as Black. Part of the “Bill of Rights,” the Fourth Amendment was adopted to protect “the right of the people” from police overreach. Yet over the past half-century, the Supreme Court has systematically repositioned the Fourth Amendment as a weapon of police power. Or as Carbado argues: whereas many assume …

A Study Of Inhibition Development In Young Children, Ai Thi Thanh Hoang

College of Education Theses and Dissertations

Child inhibition can be learned consciously and unconsciously, and it is highly dependent on the quality of interaction with adults (i.e., parents and teachers). However, little is known about the impact of teachers’ emotional management and sensitivity on the development of inhibition skills among students in early childhood classrooms. This dissertation takes an integrative approach to explore whether teacher-child relationship and teacher self-efficacy have a bidirectional connection and how they work to impact child inhibition, directly and indirectly. The present research utilizes the large nationally represented Early Childhood Longitudinal Study 2010-2011, sponsored by the National Center for Education Statistics in …

Challenges And Coping Strategies In Transitioning From Caregiving To Widowhood: A Systematic Review, Abby Baumbach, M. Courtney Hughes, Yujun Liu

Faculty Articles, Papers, and Other Scholarship

Ninety-one percent of surviving spouses in the U.S. cared for their spouses before they died. This review explores the challenges of the transition from caregiving to widowhood and different coping strategies used by widowed spousal caregivers. A systematic review of literature on the transition from caregiving to widowhood was conducted using four major academic search engines. Overall, 280 articles were identified, with 22 meeting the inclusion criteria. Challenges for widowed caregivers included experiencing care burden, letting go of the caregiver role, grief, and triggers. Widowed caregivers’ coping strategies included social support and services use, filling the time gap, finding spirituality, …

Assessing Life Expectancy Disparities In Chicago With A Deep Dive Into Green Space, Elizabeth J. Folkmann, M. Courtney Hughes, Lei Hua, Mohammad Alarifi, Mahdi Vaezi

Faculty Articles, Papers, and Other Scholarship

Background

Few studies have examined the association between green space and life expectancy, and only one study has looked at that data for small areas in the United States. These studies have found a positive association between green space and life expectancy. This study investigates the association between green space and small-area life expectancy in Chicago, a city in the United States with distinct environmental and socioeconomic characteristics and the largest U.S. life expectancy gap between neighborhoods.

Methods

We conducted a spatial analysis using the green space metrics of normalized difference vegetation index(NDVI), park access, and tree canopy. Additionally, …

University Biology Classrooms As Spaces For Anti-Racist Work: Instructor Motivations For Incorporating Race, Racism, And Racial Equity Content., Nicole L. Scheuermann, Candice Idlebird, Sayali Kukday, Vance J. Mccracken, Rachel E. Bradley, Heather E. Bergan-Roller

Faculty Articles, Papers, and Other Scholarship

Science is often portrayed as a meritocratic endeavor, but university biology programs exhibit high rates of student attrition, particularly among students of Color, despite similar interest and aptitude for science, technology, engineering, and mathematics (STEM) as White students. Culturally relevant pedagogy is associated with student persistence in STEM. One way to practice culturally relevant pedagogy in biology courses is to engage students in discussions of race, racism, or racial equity. Guidance exists to help instructors incorporate race-related topics into the biology curriculum, but the reasoning behind the decision of whether to adopt this practice is not well characterized. Understanding instructors’ …

Stable Isotope Analysis Of Manatee Vibrissae To Investigate Individual Patterns Of Resource Use In The Northern Gulf Of Mexico, Levette Tucker, Mackenzie L. Russell, Elizabeth E. Hieb, Ruth H. Carmichael, Carl S. Cloyed

Gulf and Caribbean Research

No abstract provided.

Advancing The Blue Economy Through Sustainable Mariculture: The Prospect Of Pearl Oyster And Sponge Cultivation In St. Vincent And The Grenadines, Kevin Antonio Providence

Gulf and Caribbean Research

The Blue Economy is estimated to be worth over USD 2.5 trillion annually, or almost 3% of the world’s GDP in 2020. St. Vincent and the Grenadines (SVG) in the Caribbean region has a vast and rich marine space that is underutilized. This study aimed to explore the feasibility of pearl oyster and sponge farming to advance the country’s Blue Economy through sustainable mariculture. A qualitative approach was applied, using a literature review and thematic analysis of data gathered through semi—structured interviews and focus group discussions with relevant stakeholders. Among several species evaluated, the result of the study revealed that …

Stable Isotope Analysis Of Antipatharian Diets From The Northwestern Gulf Of Mexico, Keir J. Macartney, Victoria Salinas, Zachary Rivera, David Hicks

Gulf and Caribbean Research

Antipatharians, or black corals, form a key component of the benthic fauna found throughout the Gulf of Mexico (GOM). In the northwestern GOM, they are a common member of the communities found on the natural relic coral—algal banks known as the South Texas Banks as well as on artificial reefs. They are known to provide important habitat for many ecologically and economically important species in the area but are relatively understudied. Here we present a study on their trophic ecology using stable isotope analysis of carbon and nitrogen from 2 species, Antipathes atlantica and Stichopathes luetkeni from a mesophotic artificial …

A Machine Learning-Based Wrapper Method For Feature Selection, Damodar Patel, Amit Saxena, John Wang

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

This paper presents a two-stage feature selection scheme using machine learning techniques. In the first stage a wrapper method is adopted to select various combinations of subsets of features from the original dataset. The performance of the model is evaluated by three classifiers: K-Nearest Neighbor (KNN), Support Vector Machines (SVM), and Random Forest (RF). In the second and final stage, a sequential backward feature selection Method is applied. The proposed method is demonstrated on eighteen datasets and the average classification accuracy of eighteen datasets achieved is 89.81%, 87.55%, and 89.82% using the KNN, SVM, and RF classifiers, respectively with a …

E-Waste: A Global Problem, Its Impacts, And Solutions, Jeffrey Hsu, John Wang, Mel Stern

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on …

A Case Study On Variations In Network Structure And Cross- Sector Alignment In Two Local Systems Serving Pregnant And Parenting Women In Recovery, Liza M. Creel, Yana Feygin, Madeline Shipley, Deborah Winders Davis, Tiffany Cole Hall, Chaly Downs, Stephanie Hoskins, Natalie Pasquenza, Scott D. Duncan

Biostatistics Faculty Publications

Objective: To describe network structure and alignment across organizations in healthcare, public health, and social services sectors that serve pregnant and parenting women with substance use disorder (SUD) in an urban and a rural community.

Data Sources and Study Settings: Two community networks, one urban and one rural with each including a residential substance use treatment program, in Kentucky during 2021.

Study Design: Social network analysis measured system collaboration and cross-sector alignment between healthcare, public health, and social services organizations, applying the Framework for Aligning Sectors. To understand the alignment and structure of each network, we measured network density overall …

Fractal Surface Recovery And Self-Healing Contributed To Sustainable Superhydrophobicity: A Review, Yunfei Peng, Zhihang Ma, Xiao Wang, Junru Li, Xinlin Li, Chuanwei Zhang, Tian He, Guoqiang Li, Pengfei Zhang

Faculty Publications

The concept of superhydrophobicity has been widely used after years of theoretical and experimental exploration. Researchers have obtained materials with excellent surface superhydrophobicity for numerous areas (e.g. textiles, paints, and coatings industries), through different design and synthesis methods using low surface energy components (LSECs) and micro/nanohierarchy composite structures. However, the durability of superhydrophobic material surfaces has gradually become a prominent obstacle to restricting applications. In this paper, advances in improving the durability of superhydrophobic surfaces in the past decade are reviewed, covering different schemes for recovering fractal surfaces based on the LSECs and micro/nanocomposite structures. It also presents a balanced …

Biomarkers In Cancer Detection, Diagnosis, And Prognosis, Sreyashi Das, Mohan Kumar Dey, Ram Devireddy, Manas Ranjan Gartia

Faculty Publications

Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis, prognosis, treatment response, and personalized medicine. They serve as objective indicators, enabling early detection and intervention, leading to improved patient outcomes and reduced costs. Biomarkers also guide treatment decisions by predicting disease outcomes and facilitating individualized treatment plans. They play a role in monitoring disease progression, adjusting treatments, and detecting early signs of recurrence. Furthermore, biomarkers enhance drug development and clinical trials by identifying suitable patients and accelerating the approval process. In this review paper, we described a variety of biomarkers applicable for cancer detection and diagnosis, …

Review Of Artificial Neural Networks For Wind Turbine Fatigue Prediction, Alshannaq, Aly Mousaad Aly

Faculty Publications

Wind turbines have emerged as a prominent renewable energy source globally. Efficient monitoring and detection methods are crucial to enhance their operational effectiveness, particularly in identifying fatigue-related issues. This review focuses on leveraging artificial neural networks (ANNs) for wind turbine monitoring and fatigue detection, aiming to provide a valuable reference for researchers in this domain and related areas. Employing various ANN techniques, including General Regression Neural Network (GRNN), Support Vector Machine (SVM), Cuckoo Search Neural Network (CSNN), Backpropagation Neural Network (BPNN), Particle Swarm Optimization Artificial Neural Network (PSO-ANN), Convolutional Neural Network (CNN), and nonlinear autoregressive networks with exogenous inputs (NARX), …