Digital Commons Network^™

Consortium Building As Determinants Of Perceived Quality Service Delivery By Personnel In University Libraries In Benue State, Nigeria, Doocivir Faith Annune, Olalekan Abiola Awujoola Dr.

Library Philosophy and Practice (e-journal)

The university library is the educational nerve of the university that ensures that information resources are made available and that quality information services are delivered. Providing information services that are of quality in university libraries can however be influenced by a number of factors including consortium building. Thus, the study investigates consortium building as determinants of perceived quality service delivery by personnel in university libraries in Benue State, Nigeria. The descriptive survey research design was adopted for the study, population comprised all 262 library personnel in four university libraries in Benue State, Nigeria. Total enumeration method was used. A structured …

Use Of Social Media In Academic Library Services: A Case Study Of Dpsru Library, Yogita Ahuja Mrs.

Library Philosophy and Practice (e-journal)

Social media has ingrained itself into every aspect of our lives, including libraries. Social media is being used by libraries more and more to engage with users, advertise services, and foster a feeling of community. This term paper investigates how social media can be used to enhance library services, highlighting the transformative effects of social platforms on user engagement, the promotion of library resources, and the development of community. This paper will also present the examples of implementation of social media tool by DPSRU Library. Facebook, Instagram, YouTube, Research Gate have taken for representing this case study.

The Assessment Of Knowledge Management Dimensions In The Libraries Of Khorasan Razavi Universities, Alireza Atarodi, Soraya Ziaei, Jamileh Naeimi, Hassan Shojaee-Mend

Library Philosophy and Practice (e-journal)

Introduction: This study aims to assess knowledge management aspects in central libraries of Islamic Azad University, Ministry of Science, Research and Technology, and Ministry of Health, Treatment, and Medical Education in Khorasan Razavi Province, Iran.

Methods: Conducted through a survey-analytical approach, this study focused on librarians with library education in central university libraries of Khorasan Razavi Province. A sample size of 102 individuals was selected using Cochran's formula. Validity and reliability of a researcher-developed questionnaire were confirmed. Hypotheses were tested with Wilcoxon and Kruskal-Wallis tests using SPSS-20.

Results: University libraries in Khorasan Razavi Province display inadequacies in …

The Factors And Obstacles Affecting The Documentation Of Knowledge And Experiences In The Libraries Of Khorasan Razavi Provinces Universities, Alireza Atarodi, Maryam Salimi, Jamileh Naeimi

Library Philosophy and Practice (e-journal)

Introduction: The current study aims to assess the prioritization of factors and barriers influencing the documentation of knowledge and experiences in university libraries across the Khorasan provinces, as perceived by librarians.

Methods: This applied research employed a survey-analytical methodology, focusing on librarians with library qualifications in central academic libraries of Khorasan. 102 individuals were selected using Cochran's formula. A researcher-designed questionnaire was validated, with data analyzed using descriptive (mean) and inferential statistics (Friedman's non-parametric test).

Results: Key findings indicate that cultural infrastructure, structural provisions, legal frameworks, and technological advancements significantly impact the documentation of knowledge and experiences. …

Electron-Induced Chemical Transformations In Polymer Films: Understanding The Role Of Electrons In Euv Lithography, Maximillian Mueller

Master's Theses

The next generation of computer processors, memory, and nano-scale technologies all rely on our ability to create patterns at the nanometer scale reliably. Extreme ultraviolet (EUV) lithography can create sub-10 nm features by exposing photoresist materials, typically polymers or organic networks, to 13.5 nm, 92 eV light. At these energies, absorption of photons by the photoresist leads to the emission of a primary electron around 80 eV which inelastically scatters throughout the material, initiating chemistry and creating secondary electrons. The resulting cascade of electrons and chemical reactions remains poorly understood for most photoresist materials systems. This work aims to characterize …

The Moderating Role Of Job Insecurity On The Relationship Between Psychological Contract Breach And Employee Turnover Intention, Madeline R. Clark

Master's Theses

The intentions for an employee to voluntarily leave their position at an organization has been widely researched, given it is a strong determinant of actual employee turnover. Psychological contract breach (PCB), an employee’s perception that their organization has failed to fulfill its promises or obligations, has been identified as a known predictor of employee turnover intention. While various moderators of the relationship between PCB and turnover intention have been explored in previous research, current literature had yet to examine how the job insecurity employees experience might be associated with this relationship. Therefore, the present study examined job insecurity as a …

Blockchain Technology And Smart Library: A Case Study Of Ignatius Ajuru University Of Education, Prince Chibuzor Eke, Patience Chinedu Okere, G.B. Saghanen-Ntogo

Library Philosophy and Practice (e-journal)

The research investigates the impact of blockchain technology on the smart library at Ignatius Ajuru University of Education. It specifically examines the impact of blockchain technology on the cost of accessing information and records, network distribution, and information dissemination. The study adopted a descriptive survey design with a sample size of students and lecturers of Ignatius Ajuru University of Education selected by random sampling. The study was guided by three research questions and three null hypotheses, which were tested at the 0.05 α-level of significance. A questionnaire of 15 items was used to collect data, while a Cronbach Alpha reliability …

Algorithmic Embeddedness And The ‘Gig’ Characteristics Model: Examining The Interplay Between Technology And Work Design In Crowdwork, Francesca Bellesia, Elisa Mattarelli, Fabiola Bertolotti, Maurizio Sobrero

Faculty Research, Scholarly, and Creative Activity

This article systematically reviews the literature on online task crowdwork to investigate the complex relationship between technology and work design on crowdwork platforms. We highlight the diverse interpretations and uses of technology, specifically platform features and algorithms, in relation to work design. Our review reveals that platform features serve as antecedents to work design characteristics, while algorithms are so intertwined with job execution that a new work characteristic is needed to model this interplay. We introduce this new work characteristic as algorithmic embeddedness and show that it varies in degree. When high, algorithmic embeddedness can be perceived as either an …

Keck/Kcwi Spectroscopy Of Globular Clusters In Local Volume Dwarf Galaxies, Duncan A. Forbes, Daniel Lyon, Jonah Gannon, Aaron J. Romanowsky, Jean P. Brodie

Faculty Research, Scholarly, and Creative Activity

A number of nearby dwarf galaxies have globular cluster (GC) candidates that require spectroscopic confirmation. Here we present Keck telescope spectra for 15 known GCs and GC candidates that may be associated with a host dwarf galaxy, and an additional 3 GCs in the halo of M31 that are candidates for accretion from a now disrupted dwarf galaxy. We confirm 6 star clusters (of intermediate-to-old age) to be associated with NGC 247. The vast bulk of its GC system remains to be studied spectroscopically. We also confirm the GC candidates in F8D1 and DDO190, finding both to be young star …

New 2d Penta-Sipn: A Wide And Indirect Bandgap Semiconductor, I. A. Qattan, Shambhu Bhandari Sharma, K. C. Santosh, Sufian Abedrabbo

Faculty Research, Scholarly, and Creative Activity

In recent years, two-dimensional (2D) pentagonal ternary monolayers have attracted much attention and emerged as a new class of materials because of their new feature and extensive applicability. Using first-principles density functional theory (DFT) calculations, we predict a new 2D pentagonal-SiPN or p-SiPN monolayer material. The new monolayer has shown to be structurally, thermodynamically, and dynamically stable. Our findings imply that p-SiPN is a wide and indirect bandgap semiconductor, with a highly tunable bandgap with applied equ-biaxial strain. This makes p-SiPN a promising candidate for futuristic optoelectronics and nanomechanics device applications.

Characterization Of Mycelium Biocomposites Under Simulated Weathering Conditions, Nicholas Schultz, Ajimahl Fazli, Sharmaine Piros, Yuritzi Barranco-Origel, Patricia Dela Cruz, Dr Yanika Schneider

Faculty Research, Scholarly, and Creative Activity

Expanded polystyrene (EPS) remains a popular packaging material despite environmental concerns such as pollution, difficulty to recycle, and toxicity to wildlife. The goal of this study is to evaluate the potential of an ecofriendly alternative to traditional EPS composed of a mycelium biocomposite grown from agricultural waste. In this material, the mycelium spores are incorporated into cellulosic waste, resulting in a structurally sound biocomposite completely enveloped by mycelium fibers. One of the main criteria for shipping applications is the ability of a material to withstand extreme weather conditions. Accordingly, this study focused on evaluating a commercially available mycelium material before …

Development Of A Heatsink With Embedded Thermosyphons For Passive Cooling Of High-Power Led Panels, Ayush Guha, Ayaan Raza, Sohail Zaidi

Faculty Research, Scholarly, and Creative Activity

High-energy LED panels find diverse applications, ranging from indoor to space agriculture. While LED panels are generally efficient, they tend to produce significant heat, impacting their effectiveness and posing a risk of permanent damage. Active cooling methods, such as fans, not only consume excessive energy but are prone to failure, potentially reducing the panel's overall lifespan. This research explores a traditional passive cooling technique that integrates a heatsink with embedded thermosyphons operating at low pressure. The thermosyphons evaporate the fluid, which then condenses at the condenser end, releasing heat to the environment. The condensed liquid returns to the evaporator section …

Tensor Z -Transform, Shih Yu Chang, Hsiao Chun Wu

Faculty Research, Scholarly, and Creative Activity

The multi-input multioutput (MIMO) systems involving multirelational signals generated from distributed sources have been emerging as the most generalized model in practice. The existing work for characterizing such a MIMO system is to build a corresponding transform tensor, each of whose entries turns out to be the individual z-transform of a discrete-time impulse response sequence. However, when a MIMO system has a global feedback mechanism, which also involves multirelational signals, the aforementioned individual z-transforms of the overall transfer tensor are quite difficult to formulate. Therefore, a new mathematical framework to govern both feedforward and feedback MIMO systems is in crucial …

Tracked Gulls Help Identify Potential Zones Of Interaction Between Whales And Shipping Traffic, Megan A. Cimino, Heather Welch, Jarrod A. Santora, David Kroodsma, Elliott L. Hazen, Steven J. Bograd, Pete Warzybok, Jaime Jahncke, Scott A. Shaffer

Faculty Research, Scholarly, and Creative Activity

Seabird-vessel interactions are often studied through the lens of fisheries bycatch, but seabirds encounter many watercraft types. Western Gulls Larus occidentalis breeding on the Farallon Islands (California, USA) have a foraging domain that encompasses both shipping lanes and productive fishing grounds, resulting in ample opportunities for vessel encounters. Previous research showed that these Western Gulls can serve as ecosystem indicators because their foraging behavior is linked to ocean prey conditions, and because their foraging grounds overlap with that of Humpback Whales Megaptera novaeangliae, which can make prey accessible. Because ship strikes and entanglement in fishing gear are concerns for whales …

Incorporating Uas Traffic Management Into Wildland Firefighting Operations: Initial Findings Of Subject Matter Expert Interviews, Deborah L. Bakowski, Lynne Martin, Gil Dustin, Chris Mariano

Faculty Research, Scholarly, and Creative Activity

Uncrewed Aircraft Systems (UASs) are being utilized throughout the disaster and emergency response domain, including in wildland firefighting operations. While UASs can offer safety benefits in comparison to crewed aircraft, such as removing the human pilot from the vehicle so that they are not exposed to the same risks and the ability to operate in low-visibility conditions, they are not without tradeoffs. For example, it can be challenging for UAS pilots (UASPs) to build situation awareness of the airspace in which their UAS is operating. In order to address some of the challenges associated with using UASs and provide greater …

Sample Sizes For 10 Types Of Qualitative Data Analysis: An Integrative Review, Empirical Guidance, And Next Steps, Amber Wutich, Melissa Beresford, H. Russell Bernard

Faculty Research, Scholarly, and Creative Activity

There has been a recent explosion of articles on minimum sample sizes needed for analyzing qualitative data. The purpose of this integrated review is to examine this literature for 10 types of qualitative data analysis (5 types of saturation and 5 common methods). Building on established reviews and expanding to new methods, our findings extract the following sample size guidelines: theme saturation (9 interviews; 4 focus groups), meaning saturation (24 interviews; 8 focus groups), theoretical saturation (20–30+ interviews), metatheme saturation (20–40 interviews per site), and saturation in salience (10 exhaustive free lists); two methods where power analysis determines sample size: …

Study Of Using Variational Quantum Linear Solver For Solving Poisson Equation, Nithin Reddy Govindugari, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

Quantum computing is promising in speeding up the system of linear equations (SLE) solving process. However, its performance is limited by noise. The variational quantum linear solver (VQLS) algorithm is expected to be more resilient to noise than gate-based quantum computing algorithms. This is because error correction is not available yet and VQLS is based on cost function minimization. In this paper, the gate insulator Poisson equation is solved using VQLS. The results are compared to technology computer-aided design (TCAD) results and gate-based quantum algorithm results. We show that, even without error-free qubits, the IBM-Q quantum computer hardware can solve …

Potential Use Of Poultry Farms By Wild Waterfowl In California's Central Valley Varies Across Space, Times Of Day, And Species: Implications For Influenza Transmission Risk, Claire S. Teitelbaum, Michael L. Casazza, Cory T. Overton, Jeffery D. Sullivan, Elliott L. Matchett, Fiona Mcduie, Austen A. Lorenz, Joshua T. Ackerman, Susan E.W. De La Cruz, Diann J. Prosser

Faculty Research, Scholarly, and Creative Activity

Interactions between wildlife and livestock can lead to cross-species disease transmission, which incurs economic costs and threatens wildlife conservation. Wild waterfowl are natural hosts of avian influenza viruses (AIVs), are often abundant near poultry farms, and have been linked to outbreaks of AIVs in poultry. Interspecific and seasonal variation in waterfowl movement and habitat use means that the risk of disease transmission between wild birds and poultry inevitably varies across species, space, and time. Here, we used GPS telemetry data from 10 waterfowl species in and near California's Central Valley, a region where both wild waterfowl and domestic poultry are …

Leading From The Middle: Arts Administrators' Beliefs About The Impact Of Arts Education On High-Needs Students, Sofia Fojas

Dissertations

Research on arts education notes the positive impact of arts education on educational outcomes for students, particularly students of color, students in poverty, and students needing additional academic support. Students living in low-income communities receive different educational opportunities than those in high-wealth districts. This disparity is especially true for highly mobile and high-needs students of color. Arts education has made positive differences in student outcomes. This qualitative study examined the beliefs of county arts leads, leaders in the middle, situated between the California Department of Education and their local school districts, and how they can be empowered to be change …

Multirelational Twitter Bot Detection Using Graph Neural Networks, Ketan Jadhav

Master's Projects

Social media is a key resource in modern human communication as well as for information. Ease of access and global reach is a primary factor to the popularity of several social media platforms like Twitter. Social Media Bots are automated programs which are developed for social engagement. These bots, however, are being used with malicious intent as well, to spread fake news and manipulate the masses. Identification of social media bot accounts has become crucial since social media has become one of the primary sources of news and information for a lot of people. This project aims to propose Multirelation …

Deciphering Speech Through Vision: A Deep Learning Lip Reading System, Srujith Rao Ambati

Master's Projects

Lip-reading, a ubiquitous field between computer vision and speech processing, focuses on identifying what spoken words a person generates depending on their uttering lip movements. This paper presents a streamlined lip-reading solution that employs machine learning and deep learning. First, Our work utilizes the Multi-Task Cascaded Convo- lutional Networks to detect facial “landmarks,” including the face and lips region, and the aligns the face. The aligned faces are segmented to get the lip images. Lip images are preprocessed using the Real-Enhanced Super Resolution Generative Adversarial Network to enhance image resolution to identify subtle lip movement in video images: a critical …

Deception Detection Models From Speech, Tien Nguyen

Master's Projects

Recently, researchers have shown an increased interest in automatically detecting deceptive actions. The attention given to this area can be attributed to the many potential applications of deception detection, especially in the field of criminology. To contribute to the deception detection research, this project investigates textual and audio data extracted from spoken and written words. We evaluated and compared the traditional linguistic models with advanced Large Language Models (LLMs) while using Natural Language Processing (NLP) techniques. Additionally, various feature selection techniques were applied to assess the importance of linguistic features. We conducted extensive experiments to evaluate the effectiveness of both …

Multi-Platform Cyberbullying Detection Using Nlp And Machine Learning, Chinmayi Lokeshwar Hegde

Master's Projects

The issue of cyberbullying is growing due to the online anonymity and due to online platforms having less repercussions. This research proposes for proactive measures to detect and prevent such behavior before it reaches the victim. By using data from various social media platforms and employing machine learning techniques, this research proposes an innovative system aimed at identifying and thwarting cyberbullying incidents preemptively. While existing methods have primarily focused on prediction and detection of cyberbullying incidents, there remains a significant gap in research regarding prevention strategies. This project aims to address this gap by leveraging machine learning, natural language processing …

Detecting Crustose Coralline Algae (Cca) In Marine Photos Using Mask R-Cnn, Vrushali Harshwardhan Deshpande

Master's Projects

Coral reefs, made up of thousands of polyps - tiny sac-like marine invertebrates sea anemones and jellyfish, are important to marine ecosystems and prevent loss of life by acting as a natural barrier against storms, floods, and waves. These reefs support a wide range of species, many of which are underexplored and new species being discovered regularly. Crustose coralline algae (CCA) is one of the vital algal species that provides reef structure. Studying the abundance of CCA is important in helping marine biologists analyze coral reef health while understanding the impact of climate change on the marine lifeforms. This study …

Extending A Graphical User Interface For Evidential Reasoning, Vaidehi Sanjay Joshi

Master's Projects

Systems like Capri are used for large-scale graph modeling and integration and PyGrapher aims to do that in a simplified manner. This project is an extension of PyGrapher which was a tool created by previous students at the university. The enhancements include adding customizable default parameters for nodes and edges, automating JSON conversion, and enabling real-time highlighting. These features specifically aim to improve usability, streamline workflows, and provide interactive feedback for the users. The enhancement of the project also added additional and rigorous testing of the platform's compatibility and user interaction. It demonstrates significant improvements in functionality and user experience. …

Exploring Fluctuations In Working Memory Load Through Pupillometry Using Gabor Image Deletion Tasks, Neenu Antony

Master's Projects

Van der Wel & Van Steenbergen mention that there has been a surge in pupillometry research in the past two decades, particularly in the area of task-evoked pupil dilation in the context of cognitive control tasks. The goal of most of these studies has been focused on finding a link between pupil dilation and effort exerted by an individual [10]. The review by authors Van der Wel & Van Steenbergen, aimed to assess the potential of pupil dilation as an indicator of effort rather than task complexity. Their analysis revealed that heightened task demands in domains such as updating, switching, …

Noteblocklib: A Library For Physics- And Animation-Driven Virtual Midi Instruments For Use In Video Games, Kevin Rotunni

Master's Projects

To better capture the relationship between the performer of a piece of music and the music itself in a video game context, I have designed NoteBlockLib, a system by which MIDI instructions are generated and processed in real time based on the motion and collision data of in-game objects. Ultimately, the movement of instruments made using this system would be driven by the animations of a character in the game. This system would thus allow the player character to interact with the performer in the game without sacrificing the relationship between the performer’s actions and the resulting music or to …

Instagram Data Analysis Using Machine Learning, Lakshmi Prasanna Gorrepati

Master's Projects

With enormous amount of social media content, we can draw valuable insights. In this paper, we apply different Machine Learning and Deep Learning techniques on Instagram data to determine the techniques that work well to discover the engagement class of a social media post. Out of all the social media platforms, Instagram is growing rapidly not just in the number of users but also in terms of Advertisement and marketing surpassing YouTube’s advertisement revenue. The end goal of this paper is to propose a technique to predict the engagement class. We applied Random Forest (RF), Stacking Classifier, Extreme Gradient Boost …

Emulating Human Personality With Large Language Models Through Contextual Prompts And Fine-Tuning, Mrunal Zambre

Master's Projects

The quest for AI systems that can mirror the intricate aspects of human emotion and personality is crucial for enhancing their performance. This project delves into the capabilities of Large Language Models (LLMs) to mimic the Big Five personality traits in human-written essays by utilizing contextual prompts and fine-tuning methods. Diverging from traditional research in this domain, this project explores smaller, open-source LLMs, including LLaMA 2 7B chat, LLaMA 2 13B chat, and Vicuna v.15 13B, to assess their potential in personality prediction tasks, thereby making high-level personality emulation more accessible and practical for application integration. Through meticulous prompt engineering, …

Queer A.F.: Queer Educators In Affinity Family Personal-Professional Development, James Egisto Aguirre

Dissertations

Scholarship shows that affinity groups are spaces of support, learning, and healthy career development that are responsive to the needs of a particular marginalized community. The concept of heteroprofessionalism– the implicit or explicit pressure/s queer educators feel to fit within the proverbial cisgender/heterosexual (cishet) box–is but one of a myriad issues and pressures affect queer educators across the nation. This study brings queer educators from one school district together to unpack their experiences through the lens of heteroprofessionalism. Via queer theory, qualitative, written response data was collected and subsequently analyzed in three, half-day sessions offered in spring 2024. Thirty participants …