Digital Commons Network^™

Book Review: Decentering Whiteness In Libraries: A Framework For Inclusive Collection Management, Andrea Jamison, Shala K. Howell

School of Information Student Research Journal

No abstract provided.

Redefining Reference Services In The 21st Century, Johanna Tunon

School of Information Student Research Journal

The role of reference services in libraries has evolved significantly in the 21st century, driven by technological advancements and changing user needs. This paper explores how reference services have transitioned from traditional, desk-centric interactions to encompass a wide array of platforms and tools, including digital innovations and generative AI. The decline in reference transactions has prompted librarians to adapt, shifting focus towards more complex consultations and instructional roles, while also navigating the blurred boundaries between reference assistance and formal instruction. The paper also examines the updated definitions and limitations of reference services by the Reference and User Services Association (RUSA), …

Ischool Student Research Journal, Vol.14, Iss.2

School of Information Student Research Journal

Article citations within.

Comparing Multivalent Cross-Linked Sodium Alginate/ Montmorillonite Beads Containing Curcumin Or Cayenne Pepper As Drug Carriers And Their Antimicrobial Resistance, Shionainn Traynor, Shubham Sharma

SURE Journal: Science Undergraduate Research Experience Journal

The aim of the following work was to investigate and compare curcumin and cayenne pepper in microbeads composed of sodium alginate (SA) crosslinked with montmorillonite (MMT) to act as drug carriers and their antimicrobial resistance. The microbeads were prepared through ion-exchange in multivalent solutions of CaCl₂, MgCl₂ and AlCl₃. The microbeads were characterized by Scanning Electron Microscopy (SEM), Energy Dispersive X-ray analysis (EDX) and the time required for intercalation of curcumin and cayenne pepper with MMT. Simulated intestinal fluid (pH 7.3) and gastric fluid (pH 1.2) at 37°C were used for comparison in swelling studies. …

Association Between Body Mass Index, Abdominal Obesity And Menopause-Related Symptoms In Postmenopausal Women, Brianna A. Rice, Patricia Heavey

SURE Journal: Science Undergraduate Research Experience Journal

Abstract: Existing research demonstrates a lack of data on the relationship between body mass index (BMI) and menopause-related symptoms in postmenopausal women, particularly in Ireland. This study aimed to determine whether there is an association between BMI, general abdominal obesity and menopause-related symptoms in postmenopausal women. This should help bridge the data gap regarding postmenopausal women living in Ireland and their symptoms. Introduction: Menopause is defined as the permanent cessation of a woman's menstrual cycle. This is caused by a reduction of the secretion of oestrogen and progesterone, leading to reduced ovarian function. These changes have been attributed …

Review: Cell Mechanisms In The Control Of Inflammatory Foundations Of Obesity And Secondary Metabolic Disorders, Kristin Goldstone, Keelin Irwin, Ava O' Meara-Cushen, Cathy Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Review: Obesity is a global threat to human health that is precipitating epidemically, with almost 2 billion adults categorised as overweight or obese in 2016. Ireland has one of the highest reports of obesity in Europe with 60% of Irish adults reported as overweight or obese. Inflammation plays an integral role in disease pathogenesis and is a major hallmark of obesity and obesity-related secondary co-morbidities. Obesity-related inflammation can precipitate several diseases, such breast cancer, insulin resistance, type II diabetes and cardiovascular issues. As obesity puts human health at inherent risk, the regulation of obesity-related inflammation is therefore a necessary component …

Mathematical Modelling Of Disease Outbreak, Favour Christian, Matthew Molloy

SURE Journal: Science Undergraduate Research Experience Journal

Establishing a model framework for more research necessitates a thorough understanding of the causes, distribution, prevalence, and evolution of infectious illnesses. The main mathematical concept used in this modelling simulation is ordinary differential equations (ODEs). The purpose of this study was to investigate the significance of the many criteria linked to a zombie virus spread. The zombie framework provides an accessible and relatively simple representation of the nature of infectious disease spread, allowing for tractable assumptions and the development of more complex situations.

The models are designed around a zombie outbreak in which the zombie virus is spread through a …

Investigation Into The Effect Of Aspartame On The Expression Of P53 And Bax In Mouse Stomach Tissue, Angelique Cheryl, Aoife Mac Cooey

SURE Journal: Science Undergraduate Research Experience Journal

Introduction: The recent reclassification of aspartame as a Group 2B hazard by the International Agency for Research on Cancer, along with studies suggesting links to cancer, has raised concerns and prompted further investigation. Evidence suggests that aspartame exposure may alter p53 and BAX gene expression, affecting apoptosis in cancer cells. This study aims to examine how aspartame exposure affects p53 and BAX gene expression in normal mouse stomach tissue, shedding light on cellular stress and apoptosis mechanisms.

Methods: Mice were sacrificed, and stomach tissue was excised and divided into control and treatment groups. RNA extraction was carried out in the …

Total Organic Carbon Analysis Of Residual Contaminants In Bioreactor Equipment: A Cleaning Verification Study Using Surface Swabbing, Ciara E. Fitzpatrick, James J. Roche

SURE Journal: Science Undergraduate Research Experience Journal

Contamination is a major issue in the biopharmaceutical industry. Bioreactors must be meticulously cleaned to remove residual impurities and avoid cross-contamination. Cleaning validation is necessary to ensure residual contaminants are reduced to the lowest acceptable limits. Bacterial cells represent the paramount challenge in manufacturing equipment cleaning because they are composed of insoluble organic contaminants. Total organic carbon (TOC) analysis is a fast, highly sensitive, and inexpensive analytical technique commonly used to evaluate the approximate level of organic contamination.

A study was conducted to assess the effectiveness of cleaning procedures in the removal of contaminants from bioreactor equipment by measuring the …

Editorial - Sure Journal Vol 6, Anne M. Friel, Eva Campion, Sinead Loughran

SURE Journal: Science Undergraduate Research Experience Journal

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Back Matter

The Journal of Purdue Undergraduate Research

No abstract provided.

The Mathematical Laws Of Morphology And Biomechanics Through Ontogeny, Wijesooriya Kisal Wijesooriya

The Journal of Purdue Undergraduate Research

No abstract provided.

Visual Sampling Patterns In A Naturalistic Setting For Toddlers With Autism, Katherine M. Stockhausen

The Journal of Purdue Undergraduate Research

No abstract provided.

Compact Control System For Superconducting Qubits, Santiago Lopez

The Journal of Purdue Undergraduate Research

No abstract provided.

Validating Atmospheric Freezing Level Heights Using Purdue University Weather Balloon Data, Danielle Harr

The Journal of Purdue Undergraduate Research

No abstract provided.

Implication Of Generative Ai On Education And Research, Riddhi Gupta

The Journal of Purdue Undergraduate Research

No abstract provided.

A Meteorological Investigation Of A Tornado- Producing, “Hybrid” Supercell-Multicell Storm Near Delphi, Indiana, On May 8, 2023, Evelyn Rose K. Girardi

The Journal of Purdue Undergraduate Research

No abstract provided.

Where To Build Food Banks: A Machine Learning Approach, Gavin Ruan

The Journal of Purdue Undergraduate Research

Over 44 million Americans currently suffer from food insecurity, of whom 13 million are children. Food insecurity has been shown to cause a wide range of both physical and developmental issues. Across the United States, thousands of food banks and pantries serve as vital sources of food and other forms of aid for food-insecure families. By optimizing food bank locations, food banks and their resources would become more accessible to families who desperately require it. The aim of this paper is to build a machine learning framework that is able to optimize food bank locations and to consider factors such …

Security At Too High An Environmental Cost?: The European Union's Energy Independence Strategy And Its Environmental Implications For Air Quality In Poland And Hungary, Stephanie P. Peterson

The Journal of Purdue Undergraduate Research

After Russia’s invasion of Ukraine in 2022, the European Union worked to secure liquified natural gas (LNG) deals with third countries to abolish its dependence on Russian gas. In this article, I sought to determine the environmental implications of the European Union’s new LNG deals on the air quality in Hungary and Poland, two former communist states. Despite LNG being a cleaner fossil fuel, I hypothesized that it posed a threat to Hungary’s and Poland’s air quality as both countries endured rapid industrialization under Soviet control that forwent environmental protections. To prove this, I used qualitative data from before the …

Predictive Maintenance Analysis Of Turbofan Engine Sensor Data, Stanley A. Melkumian

The Journal of Purdue Undergraduate Research

Predictive maintenance in aviation and aerospace applications is among the most explored problems in machine learning (ML) and artificial intelligence (AI), and datasets such as NASA’s C-MAPPS turbofan engine degradation simulation data have proven invaluable, helping researchers explore numerous questions on engine performance, maintenance, and failure. The purpose of this study was to extend the current research on predicting the remaining useful life (RUL) of engines and their risk classification. Starting with simple yet under-investigated nonlinear survival and random forest models, the analysis implemented eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) from TensorFlow’s Keras library. For both regression …

Optimization Of Tps Films Using An Adaptive Design Of Experiments Approach In A Bayesian Optimization Framework, Theresa Marks, Gracie White, Scott Lohman, Mayank Malhotra

The Journal of Purdue Undergraduate Research

Plastic pollution, amounting to 12 million tons annually, necessitates sustainable alternatives to single-use plastics. Compostable thermoplastic starch (TPS) films show promise but lack strength and durability compared to traditional plastics. This study employs an adaptive design of experiments (DoE) approach to enhance TPS films by optimizing testing points. The research focuses on varying concentrations of plasticizers (acetic acid and glycerol) in a water and potato starch mixture, aiming to identify the optimal ratio maximizing tensile strength and % elongation at break. Gaussian process regression (GPR) with uncertainty estimation and Bayesian optimization (BO) utilizing an acquisition function (AF) are employed. The …

The Influence Of Soil Properties And Land Management On Soil Porewater Chemistry, Bethany Kettleborough

The Journal of Purdue Undergraduate Research

Soil water dynamics influence vegetation health, soil geochemical reactions, and stream chemistry. Water dynamics can be controlled by soil type and land management. It is important to understand water movement due to its influence on soil weathering, microbial activity, and nutrient transport. Water movement can be investigated using water stable isotope variability as a tracer. The purpose of this ongoing study was to analyze stable isotopes and dissolved ions in prairie and agricultural land management sites in Nebraska and Illinois. Prairies typically contain deep-rooted grasses, while agricultural lands contain shallow-rooted row crops. Root depth is considered a major control on …

And You Don't Seem To Understand: Disanalogies Between Artificial And Biological Consciousness, Derek Freeman

The Journal of Purdue Undergraduate Research

This paper posits a new way of attempting to formulate theories of machine consciousness. At present, inquiry revolves around formulating criteria that could be applied to machines to determine if they possess human-like consciousness. The paper demonstrates that efforts so far have not been fruitful, instead finding that present methods of inquiry are destined to result in an impasse between those who support the notion of machine consciousness and those who oppose it. Consequently, the paper questions the assumption that human and machine consciousness must resemble each other. It explores a different approach, one that rejects the idea that the …

Embodied Cognition And Teaching Stem: Tenets To Explain And Enhance A Middle School Science Project, Jonathan E. Roberts, Joshua L. Williams, Robert A. Hodgdon, Caroline Payne, Gabriela Ruiz Emmanuelli

Current Issues in Middle Level Education

STEM pedagogy is a popular area for research and discussion. The empirical literature on this topic supports a variety of approaches (e.g., inquiry-based) to help instructors spark student interest create an effective learning environment, and foster long-term retention and transfer of information related to STEM topics. One potential approach is to use tenets of embodied cognition, in which behavior and cognition emerge out of real-time sensorimotor behavior of the individual situated within a particular context, to implement strategies to enhance STEM pedagogy. We applied the six lessons of embodied cognition to understand the beneficial aspects of a middle-school project on …

Secure Healthcare Systems And Big Data: A Bibliometrics Analysis, Rasha Talal Hameed, Saad Ahmed Dheyab, Saba Abdulbaqi Salman, Ahmed Hussein Ali, Omar Abdulwahabe Mohamad

Iraqi Journal for Computer Science and Mathematics

This study conducts a bibliometrics analysis of research on secure healthcare systems and big data, aiming to identify trends, key contributors, and thematic areas within the field. By examining a comprehensive database of academic publications, we highlight the evolution of research from foundational concepts to contemporary innovations in data security and privacy management in healthcare. Key metrics such as publication volume, citation impact, and co-authorship networks are analyzed to uncover the most influential authors and institutions. Additionally, we explore the integration of big data analytics in enhancing healthcare delivery while addressing security challenges. The findings provide valuable insights for researchers …

Performance Prediction For Hub-Based Swarms, Puneet Jain

Theses and Dissertations

Optimization problems lie at the core of improving performance in various tasks, ranging from day-to-day work scheduling to coordinating robots in a warehouse fulfillment center. Distributed swarm systems provide a robust and adaptive solution approach to many optimization problems. Instead of using one really sophisticated agent, multiple smaller less sophisticated agents can provide the flexibility to evaluate more options and still provide a "good" answer. This dissertation uses graphs to model, analyze, and simulate swarm behavior, primarily to predict the time-to-converge (TTC) and success probability. First, we use a bipartite model for the distributed best-of-N problem, and show how the …

Innovations In Educational Research: Developing An Original Questionnaire To Measure New Mexico’S Teacher Practices And Beliefs Related To Project-Based Learning And Culturally And Linguistically Responsive Teaching, Zachary R. Ramsey

Teacher Education, Educational Leadership & Policy ETDs

This dissertation investigates teacher practices and beliefs related to project-based learning (PBL) and culturally and linguistically responsive teaching (CLRT), central to New Mexico’s educational reform efforts following Martinez & Yazzie v. New Mexico (2018). The study also explored teachers’ professional learning needs and their awareness of the state’s reform initiatives. I collected responses from 37 participants using an original questionnaire instrument. While the findings are not generalizable, they reveal that teachers practiced elements of PBL and CLRT with moderate frequency and generally believed in their efficacy for improving educational outcomes for diverse student groups. The results also highlighted varying levels …

Geographical And Methodological Trends In Esm And Jrme From 2014–2023, Tye Campbell, Sandra Miles, Sindura Kularajan

Teacher Education and Leadership Faculty Publications

The mathematics education research landscape has changed significantly over the last decade. Not only have research topics within mathematics education changed, but there have also been changes in geographic representation of research, methodologies used, and characteristics of research samples. It is important to monitor these changing trends to understand past contributions to mathematics education research and evaluate the current trajectory. In this study, we explored how the field is evolving in relation to geographic representation of research and method by analyzing articles published in Educational Studies in Mathematics (ESM) and Journal for Research in Mathematics Education (JRME) over the last …

Vibrational And Electronic Spectroscopy Of 2-Cyanoindene Cations, Thomas E. Douglas-Walker, Eleanor K. Ashworth, Mark H. Stockett, Francis C. Daly, Isabelle Chambrier, Vincent J. Esposito, Marius Gerlach, Angel Zheng, Julianna Palotás, Andrew N. Cammidge, Ewen K. Campbell, Sandra BrüNken, James N. Bull

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

2-Cyanoindene is one of the few specific aromatic or polycyclic aromatic hydrocarbon (PAH) molecules positively identified in Taurus molecular cloud-1 (TMC-1), a cold, dense molecular cloud that is considered the nearest star-forming region to Earth. We report cryogenic mid-infrared (550–3200 cm^–1) and visible (16,500–20,000 cm^–1, over the D2 ← D0 electronic transition) spectra of 2-cyanoindene radical cations (2CNI⁺), measured using messenger tagging (He and Ne) photodissociation spectroscopy. The infrared spectra reveal the prominence of anharmonic couplings, particularly over the fingerprint region. There is a strong CN-stretching mode at 2177 ± 1 cm^–1 (4.593 …

Review Of Supporting Secondary Teachers' Critical Disciplinary Literacies, Tim Sears

Open Educational Resources - Reviews

No abstract provided.