Digital Commons Network^™

Bibbidi-Bobbidi No Boo-Boo Pulse-Oximeter: A Child-Friendly Prototype To Improve The Pediatric Experience, Holly Dickens

2025

INNOVATION & LEADERSHIP

Background: This prototype design project addresses the critical need to enhance pediatric patient comfort by reimagining common medical equipment to be child-friendly. A significant gap exists in pediatric device development, as most tools are repurposed from adult models and fail to consider the unique psychological, emotional, and developmental needs of children (Espinoza et al., 2020). Devices such as pulse oximeters, though essential in monitoring oxygenation and widely regarded as the “fifth vital sign” (Al-Beltagi et al., 2024), often cause distress for young patients. Traditional models feature intimidating adult-centric aesthetics, bright red sensor lights, and sticky wraps …

Next Word Prediction In Social Media Texts For Punjabi-English Bilingual Users With Sequential Cnn-Bilstm, Gurpreet Singh, C P Kamboj

Baghdad Science Journal

Preparing a collection of Punjabi-English social media text and creating a next word prediction system for Punjabi users are the main goals of this study. As the Gurmukhi script has a large character set, typing in Punjabi takes a lot of time. That is the reason behind using the Roman script for communication on social media platforms like WhatsApp, Facebook, and Twitter by many Punjabi users. For such users, we have proposed a sequential CNN-BiLSTM architecture to provide suggestions to improve typing speed and make communication convenient. In our proposed model, we used 128 filters and a kernel size of …

Advanced Deep Neural Network Architectures For 3d Gait Assessment From Video In The Early Detection Of Alzheimers Disease, Abhishek Singh Kushwaha

Electronic Theses and Dissertations

This thesis presents an advanced deep learning framework for markerless 3D gait assessment using monocular video, aimed at the early detection of Alzheimer’s disease (AD). Recognizing gait abnormalities as potential preclinical biomarkers, the study leverages video-based human pose estimation to derive detailed spatiotemporal gait parameters without the need for specialized laboratory equipment. The proposed system adapts the MeTRAbs (Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation) architecture to reconstruct metric-scale 3D human joint coordinates from RGB video recordings. A complete processing pipeline is developed to extract stride length, cadence, stance and swing phases, and gait variability, validated against the …

Red Snapper (Lutjanus Campechanus) Neurocranium, Gabriella K. Flora, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Guiding The Story World: A Comparison Of Diegetic Cues In A Snow White Vr Narrative Game, Jiayi Xu

Dartmouth College Master’s Theses

Virtual reality (VR) narrative games must guide players through complex story worlds without undermining immersion, yet prior work rarely compares different forms of in-world guidance under tightly controlled conditions. Designers routinely mix diegetic text, character behavior, and environmental motion, but it remains unclear how these cue families differentially shape cognitive load, task performance, and narrative experience when they convey the same instruction.

This thesis investigates how three common diegetic cue types—diegetic text, non-verbal gestures from a non-player character, and environmental motion and highlights—affect players in a first-person VR retelling of the Snow White story. In a between-subjects laboratory study, each …

Investigating The Mechanisms Of Microbial Interactions Using A Model Cystic Fibrosis Polymicrobial Community, Bassam El Hafi

Dartmouth College Ph.D Dissertations

Cystic fibrosis (CF) airway microbial communities are complex ecosystems where interspecies interactions influence pathogen survival and disease progression. We leverage a CF-relevant in vitro four-species model composed of Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus sanguinis, and Prevotella melaninogenica, alongside a microbiome dataset with over 4,000 respiratory samples from publicly available sequencing data of CF patient samples, to explore the dynamics of microbial interactions in CF. On a broader scale, we performed microbial network analysis to examine how the latest modulator therapy, elexacaftor/tezacaftor/ivacaftor (ETI), might influence CF microbial communities. Our analysis revealed a reduction in node connections and …

Vested Property Rights: Examining The Louisiana Supreme Court's Approach To Substantive Due Process In Bienvenu V. Defendant 1, William Voitier

Louisiana Law Review

No abstract provided.

When Laws Leave You Hanging: Negotiorum Gestio Steps In For Self V. Bpx Operating Company, Melisse Speligene

Louisiana Law Review

No abstract provided.

The National Landscape On Wellness Culture And Well-Being Best Practices In Healthcare Systems And Academic Institutions: Results From The Fourth National Summit On Promoting Clinician Well-Being, Megan Amaya, Bernadette Mazurek-Melnyk, Josh Winn, Jeff Messinger

Journal of Wellness

Introduction: The health of our nation’s healthcare workforce continues to decline. A comprehensive, whole-system, evidence-based approach is key to a successful wellness initiative and is the foundation for culture change. Building a culture of wellness leads to better mental health outcomes, healthier lifestyle behaviors, higher levels of engagement and job satisfaction, improved patient satisfaction and employee retention, and a positive return (ROI) and value on investment (VOI).

Methods: The purpose of this cross-sectional, descriptive, anonymous survey was to assess the organizational wellness culture of participants who attended the National Summit on Promoting Well-being and Resilience in Healthcare Professionals. …

Transformer Network On Global Self-Attention Mechanism For Brain Tumor Segmentation, Ammar Awni Abbas Baghdadi, Mohammed Al-Mukhtar, Ammar S Al-Zubaidi

Baghdad Science Journal

Transformers are a specific category of neural network design. Transformers often depend on extensive pre-training on a large scale and exhibit a notable degree of computational complexity. The disadvantage of using this method is a significant increase in computational complexity, which necessitates a significant commitment of time and computing resources in order to successfully work with these models. Transformer networks possess the desirable benefit of extracting distant characteristics effectively via their self-attention mechanism. In this paper, the Global Self-Attention Transformer module is applied to tackle these issues. The model is based on a segmentation problem called Brain-GS that works as …

Live-Cell Quantitative Monitoring Reveals Distinct, High-Affinity Gβγ Regulations Of Girk2 And Girk1/2 Channels, Reem Handklo-Jamal, Tal Keren Raifman, Boris Shalomov, Patrick Hofer, Uri Kahanovitch, Theres Friesacher, Galit Tabak, Vladimir Tsemakhovich, Haritha P Reddy, Orna Chomsky-Hecht, Debi Ranjan Tripathy, Kerstin Zuhlke, Carmen W Dessauer, Enno Klussmann, Yoni Haitin, Joel A Hirsch, Anna Stary-Weinzinger, Daniel Yakubovich, Nathan Dascal

Faculty, Staff and Student Publications

Gi/o protein-coupled receptors (GPCRs) inhibit cardiac and neuronal excitability via G protein-activated K+ channels (GIRK), assembled by combinations of GIRK1 - GIRK4 subunits. GIRKs are activated by direct binding of the Gβγ dimer of inhibitory Gi/o proteins. However, key aspects of this textbook signaling pathway remain debated. Recent studies suggested no Gi/o-GIRK pre-coupling and low (>250 µM) Gβγ-GIRK interaction affinity, contradicting earlier sub-µM estimates and implying low signaling efficiency. We show that Gγ prenylation, which mediates Gβγ membrane attachment required for GIRK activation, also contributes to the Gβγ-GIRK interaction, explaining the poor affinity obtained with non-prenylated Gβγ. Using quantitative …

Naphthalimide-Based Type-I Nano-Photosensitizers For Enhanced Antitumor Photodynamic Therapy: H2s Synergistically Regulates Pet And Self-Assembly, Huiyu Niu, Songnan Wang, Yang Liu, Nana Ma, Shuaiwei Cheng, Beidou Feng, Hyunsun Jeong, Yonggang Yang, Ge Wang, Tony D James, Juyoung Yoon, Jonathan L Sessler, Hua Zhang

Faculty, Staff and Student Publications

Photodynamic therapy (PDT) relies on a combination of light and photosensitizers (PSs) to achieve local control over cancerous lesions. However, it is subject to limitations, including tumor hypoxia, low tumor targeting, off‐target phototoxicity, and always‐on fluorescence. Here, we propose a design strategy for activated nano‐PSs (N‐PSs) to simultaneously overcome the limitations of PDT, wherein photoinduced electron transfer (PeT) is coupled with an endogenous H2S‐regulated self‐association process to promote Type‐I photochemical reactions. Using theoretical calculations, spectral analysis, and microscopic imaging, we verified the generation of self‐assembly and occurrence of PeT. And it was also shown that H2S could synergistically inhibit the …

Modified Artificial Neural Networks In Stochastic Differential Equations To Estimate The Occurrence Rate Of A New Process For Software Reliability Growth Modelling, Adel Sufyan Hussain, Zedan Zubair Mashikhin, Noora Taha Abduirazzaq

Baghdad Science Journal

This paper aims to utilize modified artificial neural networks under stochastic differential equations to improve the estimation of occurrence rates on models towards the growth of software reliability through such models. There has never been a time when reliable assessment methods have been more important as software systems grow ever more sophisticated. This study covers the risks arising from software bugs, security weaknesses, and the need to meet legal requirements. The authors use a new method that combines artificial intelligence techniques with classical reliability models to achieve their goal of a more efficient computational tool for predicting software reliability. It …

Serum Levels Of Uchl1 And S100b In Covid-19 And Multiple Sclerosis Patients: A Comparative Study In Erbil City, Krg, Iraq, Daldar Fares Jeejo, Mayada Noori Iqbal, Nisreen Sherif Alyasiri

Baghdad Science Journal

Ubiquitin carboxyl-terminal hydrolase L1 (UCHL1) and S100B are proteins involved in neuronal development and damage. Their levels in serum have been proposed as potential biomarkers for various neurological conditions, including COVID-19 and Multiple Sclerosis (MS). The study aimed to compare serum levels of UCHL1 and S100B among COVID-19 patients, MS patients, and healthy controls, and to assess the correlation between these biomarkers in the context of COVID-19. This cross-sectional study included 91 COVID-19 patients, 29 MS patients, and 50 healthy controls from the Kurdistan Region (KRG) of Iraq. Serum levels of UCHL1 and S100B were quantified using enzyme-linked immunosorbent assay …

Efficient Face Mask Recognition Model Based On Deep Learning And Multi-Machine Learning Classifiers, Hassenien Ali Hussein, Firas Muneam Bachay, Saffa Jasim Mosa, Mohammed Hasan Abdulameer

Baghdad Science Journal

Safety in chemical and biological laboratories requires face masks. Nevertheless, the masked face images present obstacles to accommodate the wide pose variations, low resolution, changes in size and incomplete cropping, and varying emotive expressions, making feature extraction and recognition robust difficult. To decern between faces with proper, improper, and no facemask, Deep Learning (the use of Convolutional Neural Networks (CNNs)) and classifiers such as SoftMax, Support Vector Machines (SVM) and K-Nearest Neighbors (KNN) were used. The methodology utilized the 2075 AR face images that contain various resolutions, orientations, and occlusions. The paper develops a Deep Learning-based model utilizing CNNs and …

On Iterative Method For The Solution Of Non-Linear Equations Using Anti-Lobatto Four Point Quadrature Rule, Tusar Singh, Dwiti Krushna Behera

Baghdad Science Journal

By harnessing the classic anti-Lobatto four-point quadrature rule of degree of precision three, the order of convergence of the Newton-Raphson method has been profoundly enhanced. This newly developed iterative scheme reveals a remarkable order of convergence, reaching three and far surpassing the original Newton-Raphson method. It operates as a two-step iterative method that elevates Newton’s approach by integrating the quadrature rule. A theorem related to this innovative iterative method has been formulated, confirming that its order of convergence is indeed three. In the numerical computation section, insightful scenarios demonstrate the remarkable numerical efficiency of the new method. Through the power …

Forecasting Big Data Daily Silver Price Based On Hybridizing Support Vector Regression And Meta-Heuristic Algorithms, Ibtihal Muneeb Yahya, Zakariya Yahya Algamal

Baghdad Science Journal

Because commodities are prone to large price swings, forecasting their prices can be extremely difficult. Similar to other commodities, the price of silver is determined by a complicated interplay between a number of factors, including time-lag. Precise forecasting of the silver price is essential for the stable and effective functioning of silver markets. The time series that metal prices follow is non-stationary, nonlinear, and contains periods that fluctuate due to possible growth. Accurate forecasting of silver prices is difficult since they are consistently highly nonlinear and non-stationary. Forecasting metal prices, in general, have been predicted by support vector regression (SVR). …

Optimizing Artificial Neural Networks For Smart Grid Stability Analysis Using Tabu Search-Based Hyperparameter Tuning, Salwa Khalid Abdulateef, Armaneesa Naaman Hasoon, Moceheb Lazam Shuwandy

Baghdad Science Journal

Smart grids are supposed to make electricity networks more reliable, yet in practice their behavior can be surprisingly unstable when the load changes too quickly. During this work, we tried to understand that instability and to build a model that predicts when a grid remains stable or begins to drift. We used an Artificial Neural Network and tuned it with a Tabu Search routine that keeps adjusting the number of neurons and the activation functions until the results stop improving. It was not a single run; several training attempts were needed before the model settled. After applying the Tabu optimization, …

Enhancing Secrecy Rate For Cognitive Radio Based On 5g Communication Systems, Mohammed Kadim Shaybeth Al-Jorani, Hakem Beitollahi

Baghdad Science Journal

The non-orthogonal multiple accesses (NOMA) together with Cognitive radio network (CRN) are critical frameworks in the 5G remote transmission framework. Nonetheless, the framework is an outstanding method for the cognitive clients to get a telecommunication from the interference signals in different info numerous yield (MIMO)- NOMA-relied cognitive radio network. For here project, a modern beamforming strategy is introduced for getting a data trade inside similar units as well as adjoining units about every tempering client. The intervention is brought about through a blemished range detecting of the optional clients (SUs). The SUs is expected to get to the essential communication …

Chimes: November 24, 2025, Calvin University

Chimes

Student Senate welcomes LCS council by Ellery Johnson

Administrators respond to student questions in second academic transition town hall by Ian Tjoelker & Ashley Hammons

Matins: A poetry collection by Professor Otto Selles by McKenna Wilkinson

No Noise November: A spiritual, physical and mental practice by Ella Vanden Berg

Seminary: A "seedbed" for growth by Joe Toly

Calvin's Women's Rugby on the rise by Hendrik Beelen

Furry friends on campus keep watch over students by Ashley Hamons & Maya Oeverman

"You Will Be Like God": On freedom and the fall of Anakin Skywalker by Joe Toly

Shepherding In France: The Ambiguities Of Caring For Nonhuman Animals In The Roya Valley, France, Daina Pupkevičiūtė

Journal of Ecological Anthropology

F

For over half a century, wolves in France were extinct. In the absence of predators, the shepherds became accustomed to leaving the sheep roaming freely in the mountains in relative safety. However, at the end of the 1980s, wolves returned, resulting in many victims, conflicts, and a stark division between those either for or against the wolf or otherwise sometimes framed as those against or for the survival of the mountain pastoralism tradition. This text looks at the caring relationships humans, such as shepherds, villagers, and others, have towards sheep, wolves, and the landscape in the Roya Valley in …

The Influence Of Russian Folklore On Perceptions Of Female Heroism, Mariia V. Subbotina

Heroism Science

This article examines how Russian folklore traditions have shaped cultural perceptions of female heroism. The study addresses the limited attention given to gendered aspects of heroism, particularly “female” models, which are often linked to self-sacrifice and resilience, in contrast to “male” heroism associated with physical strength and risk. As the first stage of a larger project, this research aims to introduce the issue and identify key archetypes of female heroism. Based on an analysis of A.N. Afanasyev’s collection of fairy tales, three central archetypes of active heroines are identified: the Warrior Woman (Marya Morevna), the Wise Maiden/Enchantress (Vasilisa the Beautiful), …

Table Of Contents, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.

2025 - The Sixth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2025 Symposium of Student Scholars, held in November 2025. Includes abstracts from the presentations and posters.

Fish-Spec: Fast Identification System For Handheld Spectroscopy And Species Classification, Mitchell Sueker, Nicholas Mackinnon, Gregory Bearman, Amanda Tabb, Diane Kim, Rosalee S. Hellberg, Alireza Akhbardeh, Hamid Reza Marateb, Jianwei Qin, Moon Kim, Fartash Vasefi, Hossein Kashani Zadeh

Food Science Faculty Articles and Research

Accurate fish species identification is critical to prevent mislabeling and fraud in the seafood industry. We present a handheld multi-mode point spectroscopy system that combines fluorescence (365 and 395 nm excitation) and reflectance measurements in the visible to near-infrared (∼350–900 nm) and short-wave infrared (∼900–1700 nm) regions for rapid, non-destructive classification of fish fillets. Tissue spectra were acquired at 25 positions on 68 fillets from 11 species, in both frozen and thawed states. Feature-level fusion across all four modes enabled higher classification accuracy than any single mode alone. A global machine-learning model classified all species with 85 ± 2.8 %, …

Forage Mass And Botanical Composition Of Four Annual Forages Grown In A Loblolly Pine Silvopasture In The Mid-South Usa, Christine C. Nieman, Dirk Philipp, Jonathan O.C. Kubesch

Animal Science Faculty Publications and Presentations

Annual forages are commonly planted in open pasture in the Mid-South, but there is little information on the productivity of these forages when incorporated into silvopasture. The objective was to evaluate four annual forages adapted to the Mid-South, namely, arrowleaf clover (Trifolium vesiculosum Savi), crimson clover (Trifolium incarnatum L.), tetraploid annual ryegrass (Lolium multiflorum L.), and diploid annual ryegrass (Lolium multiflorum L.), in a loblolly pine (Pinus taeda L.) silvopasture for seasonal forage mass distribution and annual forage accumulation. The forages were tested in a randomized complete block design with three replicates and three harvests per year: Harvest 1 (H1, …

Cover, Cleveland State Journal Of Law And Health

Journal of Law and Health

No abstract provided.

An Essay On Trailblazing With Service Animals Langer, Pilot, Bowie, And Izzie: Preserving Non-Partisan Public Health And The Law, Gary C. Norman

Journal of Law and Health

A direct correlation exists among humans, their animals, and human health and wellness. This article will focus concisely on law students with disabilities and lawyers with disabilities and how they can be empowered to be trailblazers while remaining healthy and well. Salutogenic Model should be optimized by lawyers with disabilities working at the intersection of animal law, disability law, and public health law. Service animals have positive and salubrious impacts upon their handlers in several ways, including psychosocial health and wellbeing. The Grand Architect (or in my Cherokee tradition, "great spirit") continuously partners me with complicated but magnificent dog partners …

Madagascar's Urban Lemur Meat Trade, Cortni Borgerson, Be Noel Razafindrapaoly, Be Jean Rodolph Rasolofoniaina

Department of Anthropology Faculty Scholarship and Creative Works

As the world's most endangered mammals, lemurs are key to understanding how humans and wildlife can sustainably coexist. We present the first national assessment of the urban lemur meat trade. We interviewed 2600 participants across 17 cities to determine its scale, target species, distribution, and drivers. We reveal a considerable trade, with thousands of threatened lemurs sold annually. This trade is largely hidden, with 95% of sales occurring directly between suppliers and a trusted clientele, and targets some of the nation's most endangered species, often during critical breeding seasons. While entrepreneurial peri-urban suppliers are lured by a dependable economic opportunity, …

Computer Simulation Of Zonal Adaptive Optics And Assessment Of Its Effectiveness Using Solar Images, Huda Shaker Ali, Raaid Nawfee Hassan

Baghdad Science Journal

Distortions in astronomical images caused by Earth’s turbulent atmosphere can be corrected using Adaptive Optics (AO). A Zonal-AO computer simulation approach for the correction of wavefront distortions in long-range astronomical observations, including those for solar prominences is presented. The primary task is to test the performance of AO system with solar image data. The distorted PSFs (point spread functions) and wavefronts caused by atmospheric turbulence are generated in the simulation, after that measured as well as corrected. The results of analyzing the impact of deformable mirror (DM) actuator stroke on both Strehl ratio as well as root-mean-square error (RMSE) show …