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Ischool Student Research Journal, Vol.13, Iss.2, Student Reseach Journal

School of Information Student Research Journal

No abstract provided.

Knowledge Ethics: Conceptual Preliminaries Scope And Justification, Norman Mooradian

School of Information Student Research Journal

This paper lays out the conceptual groundwork for a long-term project examining ethical issues raised when addressing the value of knowledge to a knowledge economy. The project includes a series of papers on specific topics that interrelate to the subjects of knowledge, ethics and organizations. While some of the planned articles for the project will have a practical focus, others, such as this one, will be conceptual in nature. The following outlines selected key concepts for an ethics of knowledge and their relationship with cognate areas of inquiry and practice.

The Role Of Women Librarian In Eradicating Gender Based Violence In Rivers State, Nigeria., Roseline Omolola Oladipupo, Eberechi Ejuh, Princess Solomon, Princess

Library Philosophy and Practice (e-journal)

The study examined the roles of women librarians in eradicating gender based violence in Rivers State, Nigeria. Four (4) objectives were formulated to guide this study. A descriptive survey design was adopted for the research. The population for the study comprised 70 women Librarians in Rivers State. Census sampling was adopted. The instrument for data collection was questionnaire. Mean and percentage were used for analyzing the elicited responses. Based on the findings, the various forms of gender based violence are; emotional violence, sexual violence, physical violence, socio-economic violence, amongst others. The study also identified the roles of women librarians in …

Research Collaboration Among Library And Information Science (Lis) Professionals In Nigeria., Ebisemen Patience Lulu-Pokubo, George Azubuike Onwueme

Library Philosophy and Practice (e-journal)

The paper investigated research collaboration as a tool for professional development among Library and Information science Professionals in Nigeria. Survey research design was used for the study. The population of the study comprises of all the professional librarians of the Nigerian Library Association (NLA) members in Rivers and Delta states. The findings of the survey showed that the professional librarians as members of NLA Delta and Rivers States are highly involved in research collaboration. The study also revealed the relevance of research collaboration and it was observed that research collaboration brings about higher quality of result in the LIS profession …

The Relationship Between Communication With Coworkers And Job Satisfaction Among Teleworkers: The Moderating Role Of Communication Modality, Madison L. Mariano

Master's Theses

Teleworking has become increasingly prevalent due to public health concerns and advancements in communication technologies. While organizations should take steps to promote job satisfaction among teleworkers, there is little research on the predictors of job satisfaction among full-time teleworkers. Specifically, few studies have focused on how coworker communication might impact job satisfaction among full-time teleworkers. This study focused on this gap in the literature by examining the relationship between the frequency of communication with coworkers and job satisfaction and the moderating role of communication modality. Communication modality refers to a form of communication technology available to teleworkers, ranging from rich …

Unveiling The Cognitive Impact: An Exploratory Study On Food Insecurity And Value-Driven Attentional Capture, Nichole S. Hogoboom

Master's Theses

Food insecurities have been shown to lead to serious negative health outcomes such as increased risk for diabetes and obesity in adulthood, food-related mental health and behavioral issues, all of which can have a crossover effect in many areas of a person’s life. This experiment explores whether previous history of food insecurity is associated with how people allocate attention to pictures of food; whether they are prioritizing or ignoring food stimuli in their environment. We hypothesized that the severity of food insecurity experienced in childhood would correlate with attentional bias towards food images, and that how hungry or thirsty participants …

Examining The Impact Of Registered Nurse Engagement In Medical Assistant Clinical Competency Development And Team Effectiveness In Ambulatory Care, Colleen Burckin

Doctoral Projects

Background

As ambulatory care grows in complexity, there is a growing need to ensure that staff possess a high level of competence and team effectiveness to provide safe, efficient, and cost-effective care. Leveraging the expertise and leadership skills of Registered Nurses (RN) to support the team of unlicensed, Medical Assistants (MA) will be incentivized. With limited knowledge of MA preparation to meet the rapidly changing demands, managers will struggle to build effective teams and look to the impact of RN- supported MA onboarding to bridge skill gaps.

Purpose

To examine this issue, a quasi-experimental, quality improvement study was done to …

Nft Price Prediction Using Machine Learning, Akhil Patil Bagili

Master's Projects

In the evolving cryptocurrency marketplace, Non Fungible Tokens (NFT) pose a unique challenge when it comes to predicting the prices due to their high volatility and fluctuating nature. This project aims to create a model that utilizes deep learning techniques to accurately forecast NFT prices. Based on the real time data and the transaction history, the model uses Convolutional Neural Networks (CNNs) and Long Term Short Memory Networks (LSTM) to analyze and make effective predictions about future prices. The methodology involves gathering data from two online marketplaces, Dune and Opensea to create a dataset that enhances the model’s predictive capabilities. …

Unveiling Gender Bias: An Eye-Tracking Analysis Of Scene Perception, Naga Srija Gopisetty

Master's Projects

Gender bias deeply affects how we perceive and interact with the world around us. This study examined how gender bias affects scene perception by using eye-tracking technology. The relation between gender bias and pupil dilation is examined utilizing art as a stimuli and also studied the underlying cognitive processes. This experiment combines image presentations along with input from participants, drawing on previous research in gender bias, cognitive psychology, and eye-tracking methodologies. The experiment design showcases a series of images to participants, subtly replacing one image during the trial, and then asks participants whether the

replacement took place. This study uses …

Multimodal Retrieval-Augmented Generation: Design And Application, Charul Rathore

Master's Projects

The rapid advancement in generative AI and large language models have forever revolutionized how we synthesize data. This project explores and experiments with the potential of a multimodal Retrieval-Augmented Generation (RAG) framework for processing text, tabular and image data. Starting with prompt engineering techniques, we address their limitations in dynamic and domain-specific real world applications by building a multimodal RAG pipeline and evaluating it against human-generated ground truth. The project culminates in BrightMind.ai, a full-stack educational platform featuring novel personalized AI companions for context-aware and adaptive response generation. Its innovative capabilities extend to music, video, and code generation, setting it …

Facial Expression Mood Classification Using Machine Learning, Tiantong Li

Master's Projects

Facial expression classification is a powerful tool for understanding human emotions, with applications spanning human-computer interaction, healthcare, and entertainment. By analyzing facial cues, systems can interpret emotional states and adapt their responses, creating more personalized and emotionally aware experiences. One emerging application of facial expression classification is in music recommendation systems, where user emotions are integrated to suggest music that aligns with their current mood. While prior research has primarily classified facial expressions into four emotion categories, this study broadens the scope to seven emotions: angry, disgust, fear, happy, neutral, sad, and surprise. The project evaluates four machine learning techniques—CNN, …

Implicit Personality Detection From User Behaviour In Recommendation Systems, Uzma Zubair Shaikh

Master's Projects

Recommendation systems are an integral part of any business, and a crucial factor in determining their success as these systems help businesses in marketing their products to the right kind of audience. Conventional methods of building recommendation systems such as collaborative filtering and content-based recommendation, although effective, suffer from limitations such as cold start and the data sparsity problems. Moreover, these methods aim at finding similar products as user’s past interactions rather than personalizing the recommendations. The upsurge in use of social media, over-the-top content (OTT), and e-commerce platforms has made the task of personalizing recommendations imperative, leading to the …

Llamatalk: Empowering Conversations With Retrieval-Augmented Generation, Aravind Rokkam

Master's Projects

This research report talks about the implementation and a comparative study of Llama 7B model’s fine-tuning technique and Retrieval Augmented Generation (RAG) capabilities in the context of creating a reliable AI therapist. This study focuses on training these models using diverse datasets consisting of doctor-patient conversations predominantly addressing general health issues. Using a technique like fine-tuning within the Llama 7B model, the project focuses on training the model with a diverse dataset comprising doctor-patient interactions primarily addressing general health concerns. Additionally, carefully organized mental health dataset from HOPE dataset, ensuring the bot's responsiveness to mental health inquiries. Through integration with …

The Impact Of Daylight Saving Time Transitions On Domestic Violence Call Volume, Quynh-Nhu Pham

Master's Projects

Daylight Saving Time (DST) is a longstanding practice in many countries, involving the seasonal adjustment of clocks by one hour forward in the spring, and one hour backward in the fall. Although DST was initially introduced to promote energy conservation and maximize daylight hours, it has become a subject of debate, given its impact on physical and mental health, cognitive performance, and criminal behavior (Kountouris & Remoundou, 2014).

In 2022, Colorado enacted a law adopting year-round DST, contingent upon a federal law enabling states to maintain DST throughout the year as opposed to ST, like Hawaii and Arizona (Chasan, 2024). …

A Two-Stage Machine Learning Approach For Fake News Detection And News Article Categorization, Snegdha Adusumilli

Master's Projects

This project employs machine learning techniques to develop a sequential model for detecting and categorizing fake news, aiming to mitigate its proliferation in today's digital landscape. The model operates in two phases: in the first phase, the classification algorithms like Naïve Bayes, XGBoost and Random Forest are used to distinguish between true and false news stories and in the second phase the capabilities of Naïve Bayes, XGBoost, Random Forest, and the Transformer-based BERT (Bidirectional Encoder Representations from Transformers) model are leveraged to further categorize the news into specific topics.

The methodology encompasses several key steps: data acquisition, preprocessing, feature extraction, …

Emotion Detection Using Ensemble Learning, Priya Harika Yerapothu

Master's Projects

Emotion detection is gaining exponential necessity in today’s technological age. This research seeks to delve into ways conversational AI could be enhanced by integrating emotional intelligence using an ensemble learning approach. Traditional machine learning along with advanced neural network architectures are implemented to improve the understanding and intricacies of emotion detection from textual data. The dataset we use is GoEmotions dataset, annotated with 27 emotional labels, to conduct a detailed analysis of emotion recognition. Various machine learning models, such as HistGradientBoosting, LightGBM, CatBoost, and MLP, will be evaluated side by side with advanced models of Bidirectional Long Short-Term Memory (BiLSTM) …

Response To Intervention: The Effect Of Sensory Processing Tier 1 And Tier 2 Occupational Therapy Intervention, Workshops & Consultation On Kindergarten Students, Kieran Bolger, Cindy Zhang, Julia Dariychuk, Janine Yu, Zuriel Chester

Master's Projects

Sensory modulation is critical for self-regulation in learning environments where children may experience unexpected or atypical sensory stimuli leading to disruptive behaviors often misunderstood or misinterpreted by teachers (Mac Donald & Baist, 2021; Smith & Douglass, 2022). Teachers often lack understanding of sensory processing and evidence-based strategies to address the behavioral challenges related to sensory processing (Cahill et al., 2014; Gee & Nwora, 2011; Mac Donald & Baist, 2021). Occupational therapists practitioners (OTPs) are beneficial team members that are skilled in addressing sensory processing (Cahill, 2010) and can partner with teachers to increase their understanding and utilization of sensory processing …

Multimodal Emotion Detection In Conversations And Dialogues: A Fusion Model Approach, Abhinay Jatoth

Master's Projects

Emotion recognition is gaining traction due to its wide range of potential applications across different fields. With the rise of social media, chat platforms, and voice assistants, there is a vast increase in data through which humans implicitly and explicitly carry emotional cues. With new algorithms being developed for understanding the nuances of human language and emotion, businesses can tailor more personalized and empathetic service. Sentiment analysis, expresses a positive, negative, or neutral viewpoint laid the foundation of Emotion classification. Emotion classification in conversations represents the most advanced stage of classification. It is also challenging due to the existence and …

The Effect Of A Neonatal Palliative Care Education Program In Increasing Knowledge And Communication Self-Efficacy Among Nicu Nurses, Shiou-Huei Joy Wang

Doctoral Projects

Background: Neonatal palliative care is crucial to providing comprehensive, high-quality care to neonates with life-limiting or life-threatening health conditions and their families. One significant barrier to the inconsistent provision of neonatal palliative care is the lack of education. This project aimed to deliver an education training program to increase neonatal palliative care knowledge and self-efficacy in NICU nurses. Method: A pre-post-test study design was used to examine the efficacy of an educational training program on NICU nurses’ knowledge and communication self-efficacy in neonatal palliative care. A post-test was administered immediately after the training and again four weeks later to evaluate …

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 …

Impact Of Staff Training On Library Development, Joseph Owuraku Agyeiku, Ayishatu Iddrisu Ms

Library Philosophy and Practice (e-journal)

The study examines the ongoing effects of staff training to integrate library development. The study takes a conceptual approach, thematically focusing on the impact of staff training on library development. The rationale of the study was to establish the relationship between the training of library staff and the development of libraries, leading to the effective and efficient provision of library and information services. Through a systematic literature review and thematic analysis of extant literature, the paper concludes that managers of libraries must pragmatically integrate staff training into their annual budgets: it recommends the establishment of training and development programmes for …

Posttraumatic Symptoms As Predictors Of Mobile App Engagement: An Evaluation Of Usage Data From Public Users Of An App For Military Sexual Trauma, Shilpa Hampole

Master's Theses

Veterans who have experienced military sexual trauma (MST) often face barriers to help-seeking. Mental health mobile applications (apps) such as Beyond MST, developed by the National Center for PTSD, can expand access to evidence-based coping tools, psychoeducation, and resources. However, user engagement is crucial for these apps to be effective. Researchers are exploring factors impacting app engagement, with emerging evidence suggesting that symptom severity may play a key role. This study examined whether the severity of posttraumatic stress disorder (PTSD) symptoms and posttraumatic negative cognitions, as well as level of well-being, are associated with app engagement. Anonymous app usage data …

The Role Of Nature As A Protective Factor In Father-Child Relationships, Sarah J. Barker

Master's Theses

The present study strived to understand how fathers spend time with their children outdoors and how this shared time together may positively influence their relationship within the Family-Based Nature Activities Theoretical Framework. The objectives of this thesis are to understand more about (a) Why fathers participate in outdoor activities with their children; and (b) How spending time outdoors with their children influences their relationship. Participants included 26 fathers (M=40.6 years old) and their children between the ages of 5-12 years old. All urban fathers resided on the West Coast, while rural fathers lived in the southeast United States. Participants were …

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 …

Chronic Pelvic Pain Among Transgender Men And Gender Diverse Adults Assigned Female At Birth, Diana M. Tordoff, Mitchell R. Lunn, Annesa Flentje, Diana Atashroo, Bertha Chen, Zubin Dastur, Micah E. Lubensky, Matthew Capriotti, Juno Obedin-Maliver

Faculty Research, Scholarly, and Creative Activity

Background: There are limited data on pelvic pain among transgender men and gender diverse people, and the impact of testosterone on pelvic pain is poorly understood. Objective: Characterize the prevalence and correlates of chronic pelvic pain (CPP) among transgender men and gender diverse people and examine the association between testosterone use and CPP. Materials and methods: We used 2020–2022 data from The Population Research in Identity and Disparities for Equality (PRIDE) Study, an online prospective cohort study of sexual and gender minority adults in the United States, to conduct complementary cross-sectional and longitudinal analyses. Our primary outcome was self-reported CPP …

Erratum To: Reconfigurations In Brain Networks Upon Awakening From Slow Wave Sleep: Interventions And Implications In Neural Communication (Network Neuroscience), Cassie J. Hilditch, Kanika Bansal, Ravi Chachad, Lily R. Wong, Nicholas G. Bathurst, Nathan H. Feick, Amanda Santamaria, Nita L. Shattuck, Javier O. Garcia, Erin E. Flynn-Evans

Faculty Research, Scholarly, and Creative Activity

After publication of our paper Reconfigurations in brain networks upon awakening from slow wave sleep: Interventions and implications in neural communication, we noticed an error in our condition labels that required some revision of figures and text and some new interpretations throughout the manuscript. The error was a consequence of the double-blind nature of the original experimentation which contained two interventions: (1) a blue-enriched light intervention, as originally mentioned; and (2) an olfactory odorant condition. In review of previous analyses and presentations of the data, there was a time when non-descriptive labels (e.g., “A”, “B”) were accidentally swapped, indicating the …

Fpdclustering: A Comprehensive R Package For Probabilistic Distance Clustering Based Methods, Cristina Tortora, Francesco Palumbo

Faculty Research, Scholarly, and Creative Activity

Data clustering has a long history and refers to a vast range of models and methods that exploit the ever-more-performing numerical optimization algorithms and are designed to find homogeneous groups of observations in data. In this framework, the probability distance clustering (PDC) family methods offer a numerically effective alternative to model-based clustering methods and a more flexible opportunity in the framework of geometric data clustering. Given nJ-dimensional data vectors arranged in a data matrix and the number K of clusters, PDC maximizes the joint density function that is defined as the sum of the products between the distance and the …

Anti-Trafficking And Humanitarian Operations: Transferring Learnings For A Better World, Kezban Yagci Sokat, Maria Besiou

Faculty Research, Scholarly, and Creative Activity

Purpose: The purpose of this study is twofold: first, to draw insights from the rich literature on humanitarian operations efforts to combat human trafficking; second, to inspire humanitarian operations researchers to work more on human anti-trafficking. Design/methodology/approach: This is a conceptual paper inspired by recent relevant reports, the academic literature and the authors’ years of involvement in both humanitarian operations and anti-trafficking. Findings: Humanitarian supply chains and human trafficking supply chains very often operate in the same environments and hence face similar challenges. The paper highlights the overlaps between the two domains and demonstrates how two decades of learnings from …