Digital Commons Network^™

Alma Mater: Implications Of Student Mothers Not Receiving "Nourishment" From Their University, Haylie M. June

Theses and Dissertations

Student mothers, comprising over one-fifth of college students, face unique challenges balancing academic pursuits with parental responsibilities. They seek higher education to improve financial prospects and set examples for their children. However, financial burdens, including childcare costs and debt, hinder their progress. Moreover, they face role conflict and societal judgment, feeling undervalued and alienated within the university community. Despite their resourcefulness, challenges persist, emphasizing the need for institutional support. Research explores how student mothers utilize social, cultural, and financial capital to manage their roles. Interviews with thirty-nine student mothers reveal heavy reliance on individual resources but underscore the need for …

Re: Comment Letter For Draft Bpsou Blacktail Creek Riparian Actions Remedial Design Work Plan (Rdwp) (Dated April 4, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

An Innovative Approach On Yao’S Three-Way Decision Model Using Intuitionistic Fuzzy Sets For Medical Diagnosis, Wajid Ali, Tanzeela Shaheen, Iftikhar Ul Haq, Florentin Smarandache, Hamza Ghazanfar Toor, Faiza Asif

Neutrosophic Systems with Applications

In the realm of medical diagnosis, intuitionistic fuzzy data serves as a valuable tool for representing information that is uncertain and imprecise. Nevertheless, decision-making based on this kind of knowledge can be quite challenging due to the inherent vagueness of the data. To address this issue, we employ power aggregation operators, which prove effective in combining several sources of data, such as expert thoughts and patient information. This allows for a more correct diagnosis; a particularly crucial aspect of medical practice where precise and timely diagnoses can significantly impact medication policy and patient results. In our research, we introduce a …

Gradient-Based Deep Reinforcement Learning Interpretation Methods, Yuan Wang, Lin Xu, Xiaoze Gong, Yongliang Zhang, Yongli Wang

Journal of System Simulation

Abstract: The learning process and working mechanism of deep reinforcement learning methods such as DQN are not transparent, and their decision basis and reliability cannot be perceived, which makes the decisions made by the model highly questionable and greatly limits the application scenarios of deep reinforcement learning. To explain the decision-making mechanism of intelligent agents, this paper proposes a gradient based saliency map generation algorithm SMGG. It uses the gradient information of feature maps generated by high-level convolutional layers to calculate the importance of different feature maps. With the known structure and internal parameters of the model, starting from the …

Principal Instructional Leadership Practices That Improve Middle School Student Academic Achievement, Delarius Marshall

Walden Dissertations and Doctoral Studies

The problem that was addressed in this study was that six of twelve middle schools that were formerly rated as unsuccessful by the Georgia Department of Education in English language arts and mathematics performance continued to perform poorly, while the other six improved performance in these areas. The purpose of this basic qualitative study was to explore instructional leadership practices of school leaders who transformed unsuccessful middle schools to achieve successful ratings. Hallinger’s instructional leadership model served as the conceptual framework for this study to inform analysis and data collection. Research questions were focused on middle school leaders’ perceptions of …

Era Of Confusion: The State Of Patent Eligibility Jurisprudence And The Need For Intervention, Alyssa Boggs

St. Mary's Law Journal

No abstract provided.

A Gold Standard-Derived Modular Barcoding Approach To Cancer Transcriptomics, Yan Zhu, Mohamad Karim I Koleilat, Jason Roszik, Man Kam Kwong, Zhonglin Wang, Dipen M Maru, Scott Kopetz, Lawrence N Kwong

Faculty, Staff and Student Publications

A challenge with studying cancer transcriptomes is in distilling the wealth of information down into manageable portions of information. In this resource, we develop an approach that creates and assembles cancer type-specific gene expression modules into flexible barcodes, allowing for adaptation to a wide variety of uses. Specifically, we propose that modules derived organically from high-quality gold standards such as The Cancer Genome Atlas (TCGA) can accurately capture and describe functionally related genes that are relevant to specific cancer types. We show that such modules can: (1) uncover novel gene relationships and nominate new functional memberships, (2) improve and speed …

Accelerated Somatic Mutation Calling For Whole-Genome And Whole-Exome Sequencing Data From Heterogenous Tumor Samples, Shuangxi Ji, Tong Zhu, Ankit Sethia, Wenyi Wang

Faculty, Staff and Student Publications

Accurate detection of somatic mutations in DNA sequencing data is a fundamental prerequisite for cancer research. Previous analytical challenges were overcome by consensus mutation calling from four to five popular callers. This, however, increases the already nontrivial computing time from individual callers. Here, we launch MuSE 2, powered by multistep parallelization and efficient memory allocation, to resolve the computing time bottleneck. MuSE 2 speeds up 50 times more than MuSE 1 and eight to 80 times more than other popular callers. Our benchmark study suggests combining MuSE 2 and the recently accelerated Strelka2 achieves high efficiency and accuracy in analyzing …

Towards Machine Proficiency With Semantic Underspecification, Zachary S. Gottesman

Dartmouth College Master’s Theses

Human natural language communication frequently relies on extra-linguistic information to fill in gaps in the linguistic signal left by semantic underspecification, or the omission of details that can be inferred from prior knowledge or other modalities. Underspecification is particularly common in conversations between acquaintances, since these interlocutors share context. Underspecification is a key and beneficial feature of natural language that improves efficiency, although it can cause communication to fail if it is not resolved correctly. For language models to communicate effectively and in a human-like fashion, they must learn how to recognize and utilize underspecified language. This thesis argues that …

Capturing And Processing Dynamic Holistic Scene For Enhanced Vision, Ziyuan Qu

Dartmouth College Master’s Theses

The world’s information can be conceptualized as a holistic scene, often represented as a four-dimensional vector encapsulating spatial coordinates (x, y, z) and temporal data (t). Advancements in human technology have facilitated the measurement of this feature vector through various sensors. For instance, a video captures spatial dimensions (x, y) with temporal resolution (t), while sonar pulses gauge depth (z). Leveraging these captures, we can easily perform post-modification of a scene and provide computationally enhanced perception and visual results. However, capturing with only one type of sensor poses challenges, especially when capturing surround view (360◦ viewpoint) images is impossible or …

Embodied Visions: Interactive Installations That Reimagine Bodily Presence In Digital Imaging Apparatuses As Shadows, Yunzi Shi

Dartmouth College Master’s Theses

Contextualized within a history of technological development, the evolution of imaging devices and technologies is accompanied by the abstraction of spatial relationships between the body of the observer, the apparatus, and physical reality, which leads to disembodying experiences for the observing subject. Compared with devices and interactive experiences, critical reflection on the epistemological impact of digital imaging devices has less priority in computational imaging and human-computer interaction research. Taking an artistic approach, this thesis describes Embodied Visions, an exhibition featuring three interactive installations exploring the technical infrastructure for imaging and reflecting on the (dis)embodied experiences in the digital age. …

Data From: Interweaving Recurring Slope Lineae On Mars: Do They Support A Wet Hypothesis?, Daniel P. Mason, Louis A. Scuderi

Earth and Planetary Sciences Faculty and Staff Publications

This is a metadata only access point for the referenced dataset hosted in the Dryad data repository. The following abstract relates to the dataset that is available through Dryad.

Included in these supplementary materials is a manuscript citation and manuscript keywords for the manuscript “Interweaving Recurring Slope Lineae on Mars: Do They Support a Wet Hypothesis?”, as submitted to the scientific journal Icarus. Also included are two JP2 image files, a digital terrain model (DTM) file, two shapefiles, and forty-eight CSV files that all collectively detail data relating to channel counts and sinuosity measurements for Martian hillslope features known as …

Engineering And Geological Zoning Of The Distribution Areas Of The Eocene Clays Of Northern Tamdytau, Mirabbas Mirsaatovich Zakirov, Inobat Abduvaxidovna Agzamova, Dilshod Kalandarovich Begimkulov, Golibjon Ernazar Ogli Ochilov, Temur Makhmarajabovich Khudoyberdiyev, Dastan Jamal Uli Madiyarov

Technical science and innovation

The article discusses scientific research on the integrated assessment of the problem of ensuring the sustainability of buildings and structures for industrial and civil purposes. The relevance is due to the development of various zoning methods to establish territories with reliable results on the spread of special soils. Especially in cases where swelling clays are common in the territory, characterized by high sensitivity to weather and climatic conditions. Based on the above, the purpose of engineering and geological zoning of the areas of distribution of Eocene clays of Northern Tamdytau was to identify areas of new construction, to ensure the …

Optimization And Applications Of Whispering Gallery Mode Microbubble Resonator, Maxwell Adolphson

McKelvey School of Engineering Graduate Student Theses & Dissertations

Optical biosensors are frontrunners for rapid and real-time detection of analytes, particularly for low concentrations. Among them, whispering gallery mode (WGM) resonators have recently attracted a growing focus due to their robust optomechanical and optofluidic features and high sensitivity, measuring down to single binding events in small volumes. With their unique advantages and their compatibility with different sensing modalities, these sensors have the potential to become major game changers for biomedical and environmental monitoring, among many other relevant target applications. In this dissertation we focus on one geometry of whispering gallery mode resonators, the microbubble resonator. This platform is unique, …

Testing Hadronic-Model Predictions Of Depth Of Maximum Of Air-Shower Profiles And Ground-Particle Signals Using Hybrid Data Of The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, A. Almela, B. Fick, K. Nguyen, D. Nitz, Et Al.

Michigan Tech Publications

We test the predictions of hadronic interaction models regarding the depth of maximum of air-shower profiles, Xmax, and ground-particle signals in water-Cherenkov detectors at 1000 m from the shower core, S(1000), using the data from the fluorescence and surface detectors of the Pierre Auger Observatory. The test consists of fitting the measured two-dimensional (S(1000), Xmax) distributions using templates for simulated air showers produced with hadronic interaction models epos-lhc, qgsjet-ii-04, sibyll 2.3d and leaving the scales of predicted Xmax and the signals from hadronic component at ground as free-fit parameters. The method relies on the assumption that the mass composition remains …

Advancing Simultaneous Extraction And Sequential Single-Particle Icp-Ms Analysis For Metallic Nanoparticle Mixtures In Plant Tissues, Lei Xu, Xingmao Ma, John Yang, Joel G. Burken, Paul Ki-Souk Nam, Honglan Shi, Hu Yang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Engineered Nanoparticles (ENPs) Have Been Increasingly Used in Agricultural Operations, leading to an Urgent Need for Robust Methods to Analyze Co-Occurring ENPs in Plant Tissues. in Response, This Study Advanced the Simultaneous Extraction of Coexisting Silver, Cerium Oxide, and Copper Oxide ENPs in Lettuce Shoots and Roots using Macerozyme R-10 and Analyzed Them by Single-Particle Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Additionally, the Standard Stock Suspensions of the ENPs Were Stabilized with Citrate, and the Long-Term Stability (Up to 5 Months) Was Examined for the First Time. the Method Performance Results Displayed Satisfactory Accuracies and Precisions and Achieved Low Particle Concentration …

A Robust Decision-Making Model For Medical Supplies Via Selecting Appropriate Unmanned Aerial Vehicle, Amira Salam, Mai Mohamed, Rui Yong, Jun Ye

Neutrosophic Systems with Applications

Recently, Unmanned Aerial Vehicles (UAVs) have been used in many fields, including the field of health care, especially in delivering the necessary medical equipment and supplies, due to the many advantages they have compared to other traditional methods and the presence of different types of UAVs, to improve healthcare and provide it with the medical supplies and equipment necessary to save the lives of patients. Choosing the appropriate UAV for a specific situation represents a problem facing decision-makers, which is considered a multi-criteria decision-making problem. Since the decision-making process is cumbersome and complex, and deals with uncertainty and ambiguity. In …

“Use” As A Conscious Thought: Towards A Theory Of “Use” In Autonomous Things, Gohar Khan, A Karim Feroz

All Works

The way users perceive and use information systems artefacts has been mainly studied from the notion of behavioral beliefs, deliberate cognitive efforts, and physical actions performed by human actors to produce certain outcomes. The next generation of information systems, however, can sense, respond, and adapt to environments without necessitating similar cognitive efforts, physical contact, or explicit instructions to operate. Therefore, by leveraging theories of consciousness and technology use, this research aims to advance an alternative understanding of the "use" associated with the next generation of IS artefacts that do not require deliberate cognitive efforts, physical manipulation, or explicit instructions to …

Nidus Idearum. Scilogs, Xiii: Structure / Neutrostructure / Antistructure, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In this thirteenth book of scilogs – one may find topics on Neutrosophy, Plithogeny, Physics, Mathematics, Philosophy – email messages to research colleagues, or replies, notes, comments, remarks about authors, articles, or books, spontaneous ideas, and so on. It presents new types of soft sets and new types of topologies.

Exchanging ideas with Mohammad Abobala, Ishfaq Ahmad, Ibrahim M. Almanjahie, Fatimah Alshahrani, Nizar Altounji, Muhammad Aslam, Said Broumi, Victor Christianto, R. Diksh, Feng Liu, Frank Julian Gelli, Erick Gonzalez Caballero, Riad Hamido, Yaser Al-Hasan, Ahmed Hatip, Yasin Karmouta, Nivetha Martin, Preda Mihăilescu, V. Lakshmana Gomathi Nayagam, Ze Carlos Tiago de …

Exploring The Curriculum And Institutional Contexts Of Stem Future Faculty Programs, Amy Mae Forester

Dissertations and Theses

While there are a multitude of contributing factors, under-represented student success in STEM appears to be critically interdependent with teaching and learning practices that are responsive to diverse epistemologies and inclusive pedagogies. However, the professional literature has yet to identify a set of faculty development best practices that might guide the field. Furthermore, the institutional supports required to drive the success of STEM-oriented future faculty programs remain unknown. This inquiry proposal intended to address these concerns through a critical comparative qualitative study in seeking evidence-based practices and institutional elements of STEM faculty professional development programs that support diverse graduate and …

Re: Approval Of The Revised Draft Final Silver Bow Creek Conservation Area Repository Data Gap Quality Assurance Project Plan (Qapp) (Dated 5/7/24), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Dr. John Snow And The Nineteenthcentury British Cholera Crisis, Betsy A. Maughan

The Thetean: A Student Journal for Scholarly Historical Writing

During the nineteenth century, Britain underwent attacks from a silent, determined killer. Invisible to the naked eye, this sinister enemy invaded towns, villages and homes with unforgiving stealth and cruelty. Lives were changed forever as panic, terror, and death overtook human habitats. The sneaky menace was Asiatic cholera. Although the first devastating British attack occurred during 1831-1832, London was fortunate enough to stay out of its destructive path. Luck ran out, however, as the second assault occurred during 1848-1849, consuming a good part of the city. Dr. John Snow, English physician, anesthetist and epidemiologist, dedicated most of his life to …

To Bpd Or Not To Bpd: A Comparison Of The 2022 Versus 2011 Nichd Web-Based Risk Estimator For Bronchopulmonary Dysplasia, Mitch Kinkor, Jake Schneider, Farhath Sulthana, Janelle R. Noel-Macdonnell Phd, Alain Cuna

Research Days

This study compares the performance of the 2022 National Institute of Child Health and Human Development (NICHD) Bronchopulmonary Dysplasia (BPD) Outcome Estimator and its original 2011 version in identifying high-risk infants.

Oscillometry In Term Neonates Without Respiratory Disease, Anna Nelson, Cheri Gauldin, Brooke Smith, Venkatesh Sampath, Winston Manimtim

Research Days

This feasibility study aims to determine normative values of oscillometry for neonates without respiratory disease.

Increasing The Rate Of Infants Rooming In With Their Mothers With Low-Acuity Congenital Heart Disease, Anna Nelson, Amy Marks, Ekta Patel

Research Days

This quality improvement study aimed to increase the number of infants with low-acuity congenital heart disease that could room-in with their mothers in a high-risk delivery center.

Automate Isolation Infection-Prevention Precautions (Aid-Ip): Improving The Efficiency Of Hospital Isolation With Viral Respiratory Infections, Timothy Burchard, Michael Platt, La'sonya Buford

Research Days

The AID-IP project is a QI study working to improve the process of isolation and de-isolation regarding respiratory viruses at Children's Mercy Hospital. Specifically, we aim to improve adherence to proper isolation precautions, minimize cognitive workload regarding the maintenance of isolation for staff, and improve family satisfaction with isolation practice.

Nrp, Pals, And Their Utilization During Code Events In A Pediatric Quaternary Hospital: A 'Compressed' Analysis, Mitch Kinkor, Deepa Kumar, Allison Taber, Stephen Pfeiffer, Jessica Brunkhorst, Danielle Reed

Research Days

Both the Pediatric Advanced Life Support (PALS) and Neonatal Resuscitation Program (NRP) algorithms are utilized for resuscitation during pediatric codes. The optimal time period to transition from NRP to PALS is not well studied. This study describes the utilization of chest compressions, prescribed medications, and patient outcomes during and after code events organized by the algorithm used to direct resuscitation (PALS or NRP) in a similarly aged patient population.

Loneliness And Parental Relationships Among College Students, Alanna James, Charlie Barna

Symposium of Student Scholars

The transition to adulthood is a unique developmental period that involves rapid changes in youths’ individual development and social contexts, which can involve leaving behind familiar support networks (Eeske et al,. 2015). Common experiences during the transition to adulthood, like leaving home, pursuing college, and entering the workforce can leave individuals feeling marginalized and cutoff (Mathews et al,. 2022). Loneliness is a subjective feeling experienced by individuals in all age demographics (Matthews et al,. 2022). Despite a wide array of research on social connectedness interventions for older adults and people with physical disabilities (Zagic et al,. 2021), there is little …

Generating Channel Morphology Data Through Arcgis Pro, Ethan Manigbas

Symposium of Student Scholars

River cross-sections are often extracted using field surveys at measured intervals. This field-oriented approach allows for a tangible relationship between the data and its collector but at the expense of finance, time, labor, and potentially the environment. With the advancement of geospatial tools, such data can be found online, extracted, and even analyzed with contemporary Geographic Information Systems (GIS) in a completely virtual setting, transcending the need for fieldwork in select project topics. We tested this approach with the help of ArcGIS Pro software on the Vishnu Springs headwater stream located in the Western Illinois region of the Upper Mississippi …

The Classification Of Internet Memes Through Supervised And Unsupervised Machine Learning Algorithms, William H. Little

Symposium of Student Scholars

Memes, those captivating internet phenomena, effortlessly deliver online entertainment. By leveraging time-series data from Google Trends, we can vividly illustrate and dissect the dynamic trends in meme popularity. Previous studies have discerned four distinct post-peak popularity patterns— "smoothly decaying," "spikey decaying," "leveling off," and "long-term growth"—and elegantly modeled these using ordinary differential equations.

This research introduces a programmatic approach that harnesses both supervised and unsupervised machine learning algorithms. The dataset, now expanded to over 2000 elements, becomes the canvas for exploration. The K-means algorithm identifies clusters, which then serve as labels for the supervised SVC algorithm. The overarching goal is …