Digital Commons Network^™

From Data To Insight: A Machine Learning Approach In Classifying Dairy Cow Productivity Level And Identifying Important Influencing Variables, Fatkhurokhman Fauzi, Achmad Fauzan, Rhendy K P Widiyanto, Khairil Anwar Notodiputro, Bagus Sartono

Knowledge Engineering and Data Science

Identifying influential predictor variables is crucial for enhancing model interpretability in supervised classification. This study applies Permutation Variable Importance (PVI), a model-agnostic approach, to evaluate variable relevance after model fitting. Using data from the 2024 Indonesia Dairy Cow Productivity Survey, this research investigates five classification techniques: (1) Support Vector Machine (SVM), (2) Neural Network (NN), (3) k-Nearest Neighbors (kNN), (4) Naïve Bayes Classifier (NB), and (5) Logistic Regression (LR), to identify which method(s) yield the best performance based on evaluation metrics such as accuracy, sensitivity, and specificity. PVI is employed to identify the most influential predictor variables within the best-performing …

A Hybrid Soft Voting And Stacking-Based Meta-Learning Approach For Sentiment Analysis Of Bangkalan Batik, Moh. Imron Wahyudi, Lailil Muflikhah, Rizal Setya Perdana

Knowledge Engineering and Data Science

Sentiment analysis is an important field in Natural Language Processing (NLP) that focuses on processing consumer opinions to gain useful insights. The information generated from sentiment analysis can be used as a basis for business decision-making, service quality evaluation, and the formulation of more effective marketing strategies. In the local context, Bangkalan Batik, as one of Madura's distinctive cultural products, has high economic value and cultural identity. However, consumer reviews available online, for example through Google Maps, are still rarely utilized optimally by MSMEs as a source of strategic information. Therefore, this study was conducted to develop a sentiment classification …

Feature Engineering And Anchor Optimization For Enhancing Faster R-Cnn Detection Of Low-Contrast Steel Surface Defects, Herdianti Darwis, Sitti Nurhalimah, Huzain Azis

Knowledge Engineering and Data Science

Detection of defects on low-contrast steel surfaces, especially crazing and rolled-in-scale, remains a major challenge due to their visual similarity to background patterns. Although state-of-the-art methods have achieved high accuracy through complex architectural adjustments, the contribution of preprocessing techniques has not been thoroughly investigated. This study investigates pre-processing-based improvements to Faster R-CNN by combining Bilateral Filtering to reduce noise, CLAHE to enhance local contrast, CIoU Loss for more effective bounding box regression, and customized anchor settings for irregular defect configurations. Evaluated using the NEU-DET dataset, our BF-CIoU Faster R-CNN model achieved a mAP@50 score of 72.32%, with an AP of …

Cognitive Eeg Differentiation With Hypnosis-Based Noise Reduction And K-Harmonic Means For Personalized Brainwave Modeling, Ahmad Azhari, Dimas Chaerul Ekty Saputra

Knowledge Engineering and Data Science

This study investigates the integration of hypnosis-based noise reduction and K-Harmonic Means (KHM) clustering for personalized brainwave modeling using Electroencephalography (EEG) data. EEG signals were collected from 100 participants using a Neurosky Mindset sensor at the FP1 (prefrontal) location, with each subject performing nine standardized cognitive tasks such as breathing, memory recall, and mathematical problem-solving. Hypnosis was applied not as a filtering method but as a behavioral protocol to standardize subject conditions and minimize physiological and environmental noise. The EEG signals were sampled at 128 Hz and analyzed using KHM clustering with K=4K = 4K=4, resulting in a Silhouette Score …

Comparative Performance Of Vgg16 And Efficientnetb0-Based Transfer Learning For Brain Tumor Classification, Huzain Azis, Rizqi Ananda Jalil, Abdul Rachman Manga'

Knowledge Engineering and Data Science

The classification of brain tumors using Magnetic Resonance Imaging (MRI) images is essential for early diagnosis but remains challenging due to tumor diversity. This study evaluates the effectiveness of two distinct architectural approaches for feature extraction: VGG16, representing a classic sequential design, and EfficientNetB0, a modern architecture optimized for parameter efficiency through compound scaling. Using a dataset of 2,870 MRI images categorized into four classes, we implemented a static transfer learning strategy by freezing all pre-trained ImageNet weights to act as fixed feature extractors. Features were extracted from specific layers, the final pooling layer for VGG16 and the Global Average …

Stable Numerical Solution Of An Elliptic Pde Inverse Problem Subject To Incomplete Boundary Conditions, Qasim Abd Ali Tayyeh

Knowledge Engineering and Data Science

This study addresses the challenging problem of solving inverse elliptic Partial Differential Equations (PDE) with incomplete boundary data, data available only on a part of the domain boundary. The aim is to develop a robust, effective numerical framework that consistently recovers parameters and/or sources from incomplete, ill-posed data. In the case of a variational problem discretized by the Finite Element Method (FEM) and solved by an adjoint-based optimization strategy, the framework uses Tikhonov regularization. Morozov's Discrepancy Principle is used to determine regularization parameters that achieve the best balance between accuracy and stability. Even with 5% noise in the measurement data, …

A Bounded Custom Gpt Structures Operational Knowledge For Small-Industry Decision Support, Ikhwan Arief, Alizar Hasan, Nilda Tri Putri, Hafiz Rahmann

Knowledge Engineering and Data Science

Small manufacturing and craft-based firms increasingly use Generative Artificial Intelligence (GenAI) through public chat interfaces, low-cost tools, and informal experimentation. However, these firms often make operational decisions with incomplete records, tacit owner knowledge, fragmented spreadsheets, and limited managerial capacity. Under such conditions, open-ended chatbots may generate fluent but unsafe recommendations by overlooking missing information, contradictory evidence, feasibility constraints, and implementation constraints. This study presents Asisten Cerdas Industri Kecil as a bounded Custom GPT artifact for operational diagnosis, priority selection, and short-horizon action planning in small industries. Using a Design Science Research approach, the study develops a documented artifact corpus comprising …

Is There A Regulator In The Polish Electronic Delivery Market? The Role Of The President Of Uke, Mateusza Chołodecki

internetowy Kwartalnik Antymonopolowy i Regulacyjny (internet Quarterly on Antitrust and Regulation)

This paper examines the regulatory role of the President of the Office of Electronic Communications (UKE) within the electronic delivery market in Poland, focusing specifically on the statutory competencies granted by the Electronic Delivery Act. The paper identifies significant limitations of the President of UKE’s current regulatory scope, by analysing these competencies and their alignment with Poland’s postal and telecommunications regulatory frameworks. The analysis reveals that the regulatory powers of the President UKE that concern electronic delivery services are narrowly defined, primarily covering oversight over tariffs, T&Cs, and operator designation, without broader supervisory authority or clearly articulated regulatory objectives. Consequently, …

Risk Management For Authorising Railway Vehicles In The Eu Legal Framework, Jan Maciej Siudecki

internetowy Kwartalnik Antymonopolowy i Regulacyjny (internet Quarterly on Antitrust and Regulation)

Safe integration of rolling stock with railway system requires comprehensive hazard identification and application of safety measures. There are different cases when European Union regulations demand carrying out risk assessment before a vehicle may be authorised to be placed on the market for both Rolling stock and Command and control signalling onboard subsystems. Specificities of each case are outlined and conclusions as to their scope and interactions between them are discussed. Practical examples of hazards that should be managed in each case are provided. Subsequently it is described, how conclusions from risk assessment impact results of conformity assessment, the authorisation …

Tumor Microenvironment Immunomodulation By Nanoformulated Tlr 7/8 Agonist And Pi3k Delta Inhibitor Enhances Therapeutic Benefits Of Radiotherapy, Mostafa Yazdimamaghani, Oleg V. Kolupaev, Chaemin Lim, Duhyeong Hwang, Sonia J. Laurie, Charles M. Perou, Alexander V. Kabanov, Jonathan S. Serody

Chemical and Biochemical Engineering Faculty Research & Creative Works

Infiltration of immunosuppressive cells into the breast tumor microenvironment (TME) is associated with suppressed effector T cell (Teff) responses, accelerated tumor growth, and poor clinical outcomes. Previous studies from our group and others identified infiltration of immunosuppressive myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs) as critical contributors to immune dysfunction in the orthotopic claudin-low tumor model, limiting the efficacy of adoptive cellular therapy. However, approaches to target these cells in the TME are currently lacking. To overcome this barrier, polymeric micellular nanoparticles (PMNPs) were used for the co-delivery of small molecule drugs activating Toll-like receptors 7 and 8 …

Mapping Epidermal And Dermal Cellular Senescence In Human Skin Aging, Grace T Yu, Clarisse Ganier, David B Allison, Tamara Tchkonia, Sundeep Khosla, James L Kirkland, Magnus D Lynch, Saranya P Wyles

Children’s Nutrition Research Center Staff Publications

Single-cell RNA sequencing and spatial transcriptomics enable unprecedented insight into cellular and molecular pathways implicated in human skin aging and regeneration. Senescent cells are individual cells that are irreversibly cell cycle arrested and can accumulate across the human lifespan due to cell-intrinsic and -extrinsic stressors. With an atlas of single-cell RNA-sequencing and spatial transcriptomics, epidermal and dermal senescence and its effects were investigated, with a focus on melanocytes and fibroblasts. Photoaging due to ultraviolet light exposure was associated with higher burdens of senescent cells, a sign of biological aging, compared to chronological aging. A skin-specific cellular senescence gene set, termed …

Separability Doctrine: Perspectives From China, England And The Model Law, Jia Jun Benjamin Goh

Research Collection Yong Pung How School Of Law

In this article, the author compares the application of the separability doctrine in the People's Republic of China, England and Wales, and select Model Law jurisdictions (including Singapore and Hong Kong). This article argues that the proper scope of the doctrine must include situations of both contractual validity and existence are in question. Additionally, the doctrine should apply in finding that the law of the arbitration agreement is different from the law of the main contract. Finally, the doctrine must also serve to protect party autonomy to shield an arbitration agreement from self defeating main agreements.

Embracing Ai In Higher Education: Redefining Teaching And Learning In The Digital Era, Najem Tala, Leila Halawi

Publications

This research explores the transformative potential of Artificial Intelligence (AI) in education, focusing on its ability to address emerging challenges and revolutionize teaching practices. We critically assess the current educational landscape, evaluate AI's role as a catalyst for educational reform, and examine implementation challenges. Our analysis emphasizes the evolving impact of AI on personalized learning, student engagement, and administrative efficiency and contributes to the growing body of literature on educational technology. The discussion highlights both the opportunities and limitations of AI in education, pointing to critical areas that remain underexplored.

A Maintenance Repair And Overhaul Model For Operational Sustainability; Incorporating Processes And Risks., Linn Guinn, Mary M.H. Woody, Eva Maleviti

Publications

Maintenance, Repair, and Overhaul (MRO) companies are integral to the aviation industry, with the core responsibility of ensuring aircraft remain safe and airworthy. Their role is critical in maintaining the industry’s high standards of performance and safety. To remain competitive, MROs must provide a wide range of services—including inspections, periodic checks, engine overhauls, avionics repairs, fuselage and cabin modifications, and interior refurbishments— while consistently meeting regulatory and safety requirements. Beyond technical compliance, MROs must adopt a quality-driven, continuous improvement approach to manage risks effectively. This requires the integration of processes, programs, and systems aligned with international standards to strengthen resilience, …

Accurate Body Weight Class Prediction From Mirna And Gene Expression In Blood And Saliva Samples, Kimberly Lettner

Master of Science in Forensic Science Directed Research Projects

miRNA interference on protein abundance related to glucose uptake and lipid production has been evaluated in biomedical research and linked to metabolic disorders like severe obesity. The direct regulation of protein abundance caused by miRNAs on a person’s metabolism can lead to an increased weight and overall size. Body size, measured by BMI, provides additional physical descriptions that can be combined with hair color, eye color, age, and skin pigment to aid investigations of unidentified remains or unknown suspects not found in a database. The purpose of this project was to evaluate the miRNA expression of target biomarkers in dried …

Novel Time-Since-Deposition Signatures For Canine Blood; Implications For Animal Cruelty Investigations, Alysia M. Townsley

Master of Science in Forensic Science Directed Research Projects

Dogfighting is a felony in all 50 states and is often tied to other organized crime activities including gambling, narcotics, and weapons trafficking. Because of the clandestine nature of dogfighting crimes, it may be necessary to determine the age of blood samples from suspected events, not just the source. In this study, flow cytometry was used to identify cellular autofluorescence signatures for estimating TSD (time-since-deposition) in canine blood deposits up to 6 months old. To accomplish this, blood was taken from canines of various chronological ages and breeds, then deposited to create TSD samples ranging between 1 day and 180 …

Nursing Simulation For Pediatric Communication: An Integrative Literature Review, Jayla R. Call

Honors Undergraduate Theses

The aim of this thesis is to explore literature focused on enhancing nursing students' communication skills with pediatric patients through simulation. Effective communication is key to building rapport and trust, which are essential for improving patient outcomes. However, nursing students may experience anxiety when interacting with pediatric patients due to limited training in communication techniques. Simulation offers a valuable opportunity for students to practice and refine their skills in a risk-free environment, allowing them to build confidence and competence. An integrative literature review was conducted, utilizing three databases and PRISMA guidelines (Page et al., 2021) to gather relevant studies for …

From Vinyl To Viral: Evaluating The Mere Exposure Effect Through Music And Technological Advancements, Ariana R. Deboo

Honors Undergraduate Theses

The Mere Exposure Effect (MEE) refers to a psychological pattern in which a person develops preference for a stimulus that has been repeatedly presented to them. The present study examined environmental influences of preference through repeated exposure to music. Social media platforms such as TikTok, Reels, and Shorts influence where people listen to music. The fast-paced consumption algorithm for new media is provided by quick, entertaining videos that allow users to scroll past content that does not keep their attention. A total of 406 participants (n=406) were involved in this study. The purpose for this study was to identify how …

Generation Z’S Perception Of Skin Cancer And How It Relates To Climate Change, Piercen Bogolea

Honors Undergraduate Theses

Skin cancer is the most common cancer worldwide, and climate change has been identified as a significant contributor. Preventative action early on can help reduce occurrence, but it is unknown if Generation Z is aware of this and is taking the necessary action now to protect themselves. This research aims to gauge the perception of Generation Z on the severity of skin cancer, the relationship between climate change and skin cancer, and the prevalence of preventative measures being taken. A survey was distributed to students aged 18 to 27 enrolled at the University of Central Florida through mixed sampling. The …

Uv- Altered Macrophages: Impact Of Uv Radiation On Phagocytic Receptor Expression In M2 Macrophages And Implications For Tissue Repair And Immunosuppression, Hala Hafez

Honors Undergraduate Theses

Ultraviolet radiation is an environmental stressor known to suppress immune function in the skin, but its effect on the immunoregulatory M2 phenotype macrophages is poorly studied. This study aims to investigate the impact of UV exposure on key markers of the M2 macrophage, which are critical for tissue repair and immunosuppression. THP-1 monocytes were differentiated and polarized into the M2 phenotype using Phorbol-12 myristate (PMA) and Cytokines IL-4 and IL-10. Once differentiation was confirmed, the macrophages were exposed to varying durations of UV radiation. Real Time Quantitative PCR was used to analyze expression changes in phagocytic receptors (CD206, CD163, Arg-1), …

Measuring Personality And Animal Treatment Attitudes With The Pet Scale, Zackery J. Hilton

Honors Undergraduate Theses

Previous research has looked at the association between personality traits and the proclivity, or history, of committing acts that are characterized as animal abuse or animal cruelty. Much research has also found that individuals who exhibit this type of behavior towards animals also tend to exhibit similar behavior towards other individuals, mainly in the form of domestic or child abuse. Previous studies have measured animal abuse using very explicit and extreme criteria, using acts that are without question blatant abuse or torture; however, there is some grey area where many may argue whether certain acts should be considered abuse, which …

Venezuela's And Mexico's Oil Industries: Policy Making Sets The Course, Camila Gimenez Valero

Honors Undergraduate Theses

The puzzle of Venezuela's crisis is one that researchers often try to understand. How did one of the richest nations in the world become one of the poorest? Venezuela is nowadays seen as a country with political unrest, where people struggle to get by and with a corrupt government. However, this was not always the case. Throughout the 20th century Venezuela had remarkable economic stability. Having discovered the world's largest known oil reserves, the nation's economy quickly developed, and the country also became known for its long-standing democracy. After the election of Hugo Chavez in 1998, Venezuela began to decline …

A Systematic Literature Review On The Benefits Of Biofeedback Therapy As A Treatment For Diabetes Mellitus Induced Chronic Peripheral Neuropathy, Amy Krueger

Honors Undergraduate Theses

The objective of this systematic literature review is to examine the research on biofeedback therapy and evaluate its effectiveness in treating chronic diabetic peripheral neuropathy. This comprehensive review was conducted using the PRISMA 2020 method of analysis. All studies included at least 10 patients with T1D or T2D and current or past foot ulcers and/or DPN. Each study was also available in their entirety. Studies with fewer than 10 participants, those which examined neuropathy unrelated to diabetes, or those with healthy test populations were excluded. Studies that were only partially available were also not used. The databases used were PubMed, …

Multi-Criteria Gis Suitability Analysis For Sustainable Agricultural Tourism Site Selection In Peru, Jessica J. Mccord

Honors Undergraduate Theses

Agricultural tourism offers a mechanism to strengthen rural economies while preserving traditional practices and unique cultural identities. In the Peruvian Andes, rural communities confront increasing challenges in the face of a changing climate and reliance on industrialized agriculture. Rural communities attempt to strike a delicate balance between economic development and heritage preservation. This research utilizes a Geographic Information System (GIS)- based analysis to identify areas best positioned for the development of agritourism initiatives. The suitability analysis integrates both local and global sustainability priorities by incorporating a set of defined criteria that together identify areas that are the most appropriate for …

The Loneliest Number: Implications For Using Single-Item Measures In Regression Analysis, Juliana Reis

Honors Undergraduate Theses

The current study examines the use of single-item measures to assess constructs used by occupational stress researchers. Surveys are fundamental tools for I/O Psychologist practitioners, and multiple-item measures are commonly used to fulfill that purpose. However, long surveys may offer challenges to both administrators and respondents. As an effort to mitigate those challenges, single-item measures have been receiving recognition as a promising alternative to the current psychometric measures due to their benefits, such as reduced cost and higher face validity. We will discuss the previous studies on single-item measures and why it’s relevant to explore its potential by performing a …

Toward Inclusive Care: Enhancing Lgbtq+ Adolescents’ Experiences In Primary Care, Rutwa Shah

Honors Undergraduate Theses

LGBTQ+ adolescents face significant inequities in healthcare access and health outcomes, yet little is known about how they engage with routine pediatric care, where parental presence and clinician dynamics often influence their ability to access affirming services. While prior research has emphasized the importance of inclusive environments and clinician communication, few studies center the voices of LGBTQ+ youth in clinical settings. This study explored how LGBTQ+ adolescents manage sexual/gender identity disclosure, trust, and communication with primary care clinicians. This study draws on data from The VIBES Study: Viewpoints on Improving Bonds Between Health Experts and Sexual and Gender Minority Youth. …

Design And Implementation Of A Nursing Peer Practice Case Review Program In An Academic Surgical/Trauma Icu, Natalie Tredway

DNP Scholarly Projects

Background: Peer review has been in use in healthcare for many years, primary by physicians. Recently, however, nursing has adopted a framework for peer review within the profession. According to the American Nurses Association (admin, 2011), organizations are required to maintain a systematic peer review process aimed at evaluating nursing care and nursing care providers to obtain/maintain Magnet designation. According to Foster (2015) nursing peer review (NPR) is “process by which practicing registered nurses systematically assess, monitor, and make judgments about the quality of nursing care provided by peers as measured against professional standards of practice”. The focus is on …

A Quality Improvement Project To Enhance Chronic-Condition And Self-Care Knowledge In Adolescents With Spina Bifida, Ann Paris

DNP Scholarly Projects

Background: Spina Bifida is the most common central nervous system disorder in the United States (CDC, 2024). Even with early surgical repair, patients may have chronic, disabling, multisystem needs (Phillips et al., 2017). Adequate care of Spina Bifida requires a multidisciplinary approach. As such, patients with spina bifida require multiple specialty providers, clinic appointments, care-tasks, and interventions (CDC, 2024, Phillips, et al., 2017). Synthesizing information from multiple care providers can be daunting, especially for adolescents as they grow more autonomous in their care, and especially as they enter the age of pediatric-to-adult transition (Psihogios et al., 2015).

Purpose: …

Implementation Of A Standardized Educational Training Series For Anaphylaxis Recognition And Epi-Pen Administration To Non-Licensed Personnel In A School Setting, Katherine T. Darak

DNP Scholarly Projects

Background: Anaphylaxis is a life-threatening allergic reaction that requires early recognition and administration of intramuscular epinephrine. In the elementary school setting, non-licensed personnel are often the first staff to identify this, making training and preparedness essential. This quality improvement project aims to enhance school personnel knowledge, confidence, and competence in recognizing and managing anaphylaxis through a standardized educational training series.

Purpose: The purpose of this quality improvement project aimed to increase the knowledge, confidence, and competence of non-licensed personnel in managing and responding to anaphylaxis in the school setting. Participants accessed the educational module and hands-on training interventions …

Pathways To Nursing And Midwifery Education In Tanzania With Reflection To The Global Perspectives: A Narrative Review, Tumbwene Mwansisya, Mary Lyimo, Eunice Pallangyo

School of Nursing & Midwifery, East Africa

Background/Objectives:

This review aimed to explore the pathways of nursing and midwifery education in Tanzania and compare them with global perspectives. The goal was to identify similarities, differences, and areas for potential improvement to align with international standards.

Methods:

A narrative literature review was carried out through databases with published studies in nursing and gray literature. The database search included Medline, PubMed, Google Scholar, EBSCO, PsycINFO, clinical nursing, and gray literature from January 2014 up to December 2024. The search process was carried out by the authors with the following key words: admission, pathway to nursing profession, delivery mode, …