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Finite Element Analysis Of The Construction Strength Of Semi-Submarine Glass-Bottom Catamaran, Berliana Ayarent Puteri, Aldias Bahatmaka, Widya Aryadi, Musdika Bagas Satria Putrananda, Christian Imanuel Hutagalung

Journal of Mechanical Engineering Science and Technology (JMEST)

Indonesia's extraordinary marine tourism potential requires innovation in how to enjoy it. This study discusses the innovative design of a semi-submarine glass-bottom ship for the development of marine tourism in Indonesia, which allows tourists to enjoy the beauty of the underwater world safely and comfortably. This catamaran is designed with two hulls that provide high stability and optimal deck area for tourism needs. The study focuses on analyzing the ship's frame structure using the finite element analysis method, especially on using sandwich panels that combine wood and carbon fiber materials to achieve the optimal combination of structural strength, weight, and …

Harnessing The Role Of Carbon Black: A New Frontier For Energy-Density Supercapacitor Electrodes, Ana Yuli Komariyah, Ishmah Luthfiyah, Ida Vaeruza Albadi’Ah, Nasikhudin Nasikhudin, Worawat Meevasana, Markus Diantoro

Journal of Mechanical Engineering Science and Technology (JMEST)

The performance of activated carbon (AC)-based supercapacitor electrodes is often limited by poor electrical conductivity, prompting interest in conductive additives such as carbon black (CB). This study explores the transformative potential of CB as a conductive additive in AC-based supercapacitor electrodes and systematically investigates CB mass loadings of 0%, 5%, 10%, 15%, and 20%, using styrene-butadiene rubber (SBR) as the binder. The findings in this study demonstrate that 10% CB is the optimal loading, offering a balanced performance in terms of structure, morphology, and capacitance. X-ray diffraction (XRD) analysis reveals a distinct structural evolution at 10% CB, characterized by the …

Steam Supply Evaluation For Carbon Capture And Storage In A Subcritical Coal-Fired Power Plant, Veri Hendrayawan, Anggit Raksajati, Sanggono Adisasmito, Firman Bagja Juangsa

Journal of Mechanical Engineering Science and Technology (JMEST)

The aim of this study is to analyze the implementation of carbon capture and storage (CCS) in coal-fired power plants (CFPP) in Indonesia by determining the reboiler energy demand through steam source analysis. The study uses a representative 3×330 MW subcritical coal-fired power plant (CFPP), with an emission intensity of 1.02 tCO₂/MWh and flue gas CO₂ concentration of 13.8%. CCS modeling shows the reboiler requires about 2.9×10⁹ kJ/h energy, supplied by steam extracted from the plant’s steam cycle. A steam cycle model was developed to evaluate the impact of steam extraction. Potential tapping points analyzed include main steam, cold reheat, …

Optimizing Aluminium 6061 Turning Using Kesambi Oil-Based Cutting Fluid And Response Surface Methodology To Reduce Surface Roughness, Ari Wahjudi, Raihan Baihaki, Khairul Anam

Journal of Mechanical Engineering Science and Technology (JMEST)

This study investigates the viability of Kesambi oil (Schleichera oleosa) as an environmentally sustainable, bio-based cutting fluid to reduce surface roughness during the turning of Aluminium 6061. The study employs Response Surface Methodology in conjunction with a Central Composite Design to identify the optimal parameter combination. These methods were used to optimize two primary variables, including the composition of Kesambi oil and the depth of cut during machining. Surface roughness was measured using a surface roughness tester, and a comprehensive quadratic regression equation was analyzed to elucidate its characteristics. The best configuration, comprising 19.57% Kesambi oil and a cutting depth …

Early Childhood Education – A Unique And Quasi-Hidden Curriculum, Verity Campbell-Barr

School of Law, Humanities and Social Sciences

This paper considers the complexities and debates surrounding the concept of curriculum in Early Childhood Education (ECE). The paper highlights the tension between traditional, structured curriculum models found in schooling and the more flexible, child-centred and play-based approaches advocated in ECE. Starting from the premise that curriculum theory in ECE is underdeveloped, the discussion draws on Bernstein’s Pedagogic Device to provide a theoretical framework with which to analyse how knowledge is produced and recontextualised in ECE in both the official (state) and pedagogic field. Central to the recontextualisation are theories of child development and how they provide an underlying course …

Collection Of Instructional Slides From Molten Salt Electrochemistry Symposium (Moses), Devin Rappleye, Carlos Mejia

Faculty Publications

During the Molten Salt Electrochemistry Symposium (MoSES) on July 30-31, 2025, interactive instruction was given to the attendees including live demonstrations. These slides contain the introductory instructions given for each learning module at MoSES 2025. Please visit https://pyro.byu.edu/moses for more information.

Analyzing National War Propaganda Through Comparison Of Diverse Case Studies, Ike Sugitani

Dissertations and Theses

In the build-up to war, national governments utilize propaganda to gather public support for the war effort. In some instances, propaganda campaigns are conducted but war does not occur. This begs the question as to why war follows propaganda campaigns in some cases, but not in others. I argue that propaganda efforts that lead to war can be generally characterized through three major strategies based on a patriotic participatory social structure, a claim to moral authority, and the blending of individual concepts of the state, government and nation. In this study, I analyze the major historical case studies of the …

A Workplace Posture Initiative To Reduce Work-Related Musculoskeletal Disorders, Carrie Isaac

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: Work-related musculoskeletal disorders (WRMSDs) are a leading cause of occupational injury and discomfort in industrial workplaces. Although an ergonomic program existed at the project site, a formalized process to detect postural misalignments early had not been established. Relying on employee self-reporting, delayed intervention, and limited opportunities to prevent injuries before they progress.

Aim of the Project: A proactive posture screening program using PostureScreen® was implemented to identify postural deviations that could contribute to WRMSDs. Emphasis was placed on supporting employees through early awareness of posture-related issues and evaluation of alignment improvements following individualized intervention.

Review of the Evidence: Evidence …

Transnational Politics Of Cambodian American Ethnic Organizations: Strategies, Motivations, And Impacts, Simin Tan, Wen Chen

Journal of Southeast Asian American Education and Advancement

Since several large-scale migrations to the U.S. in the 1970s, Cambodian Americans have established a number of ethnic organizations aimed at intervening in the political landscape of their homeland. These organizations span from subversive groups seeking to overthrow the Cambodian government through armed insurgency to reformist groups advocating for human rights improvements and peaceful political transformation. The refugee experiences of first-generation Cambodian Americans have served as a key motivator for their involvement in transnational politics, while the degree of social integration shapes the extent to which different generational cohorts engage in these political activities. In addition, both the Cambodian government’s …

Letter From The Editor V2, Jj Pionke

Disability in LIS (DisLIS)

2025 updates from the editor of DisLIS.

Front Matter__Volume 1, Issue 1__Cuaderna Via.Pdf, Cuaderna Vía Editors

Cuaderna Vía

No abstract provided.

Full Issue__Volume 1, Issue 1__Cuaderna Via.Pdf, Cuaderna Vía Editors

Cuaderna Vía

No abstract provided.

Selected Prose And Poetry, Ralph Waldo Emerson

Hannah Arendt Marginalia - All

New York, Rinehart [1950]

Call #: PS1602 .C6

Contains light underlining

PDF Information: 18 pages – 797KB

Book Review: Winters Of Discontent, Simon Barrick

Global Sport Business Journal

Editor Russell Field, through Winters of Discontent: The Winter Olympics and a Half Century of Protest and Resistance, offers the first focused academic inquiry into the myriad ways that individuals, organizations, and communities have resisted these sport mega-events. More specifically, each chapter contributor “chronicles the ways in which the issues raised by anti-Olympic advocates have increasingly become part of a mainstream discourse” (Field, 2025, p. 5). Various core themes run through the book including concern over public spending amid rising neoliberalism, the contested relationship between Indigenous self-determination and settler colonial domination, balancing local community priorities against the backdrop of Games-related …

The Possessed, Fyodor Dostoyevsky

Hannah Arendt Marginalia - All

New York : The Modern Library, 1963

Call #: PG3326 .B6 1963

Contains marginalia, underlining, marginal lining and endpaper notes

PDF Information: 170 pages – 12.7 MB

Using A Layered Ensemble Of Physics-Guided Graph Attention Networks To Predict Covid-19 Trends, Connie Sun, Vijayalakshmi Kumarasamy, Yu Liang, Dalei Wu, Yingfeng Wang

UTC Spring Research and Arts Conference

The COVID-19 pandemic has rapidly disseminated worldwide, profoundly impacting numerous nations. Accurately forecasting the trajectory of COVID-19 across various scales is crucial for informing public health decisions. However, existing forecasting models primarily operate at the state or country level. Conventional mathematical models face limitations due to oversimplified assumptions, while machine learning algorithms struggle to extrapolate novel trends. This underscores the necessity for hybrid machine learning models that amalgamate domain expertise to enable precise long-term predictions. In response, we propose a sophisticated three-layered ensemble, tailored to geographical insights and fostering extensive peer learning. Our framework aims to forecast COVID-19 trends at …

Pretty Dangerous: The Romanticization Of Grooming In Pretty Little Liars, Katherine G. Johnson, Emma Grace Gilland

UTC Spring Research and Arts Conference

Sexual grooming is the deliberate manipulation of a minor by an adult to reduce their sensitivity to sexual contact, with the specific aim of perpetrating child or adolescent sexual abuse (Winters, 2022). Prevalence rates for sexual grooming vary; however, a recent study by Winters and Jeglic (2022) found that approximately 24% of their sample of undergraduate student sample reported experiencing sexual grooming as a minor. These predatory behaviors were prominently featured between lead adolescent and adult characters throughout the popular television show, Pretty Little Liars. This raises concerns about how such behaviors might be perceived when portrayed in popular media …

A Combination Of Modified Stacking Method With Voting Ensemble Technique For Binary Classification, J M Imtinan Uddin, Hong Qin

UTC Spring Research and Arts Conference

Binary classification is a frequently encountered machine learning problems. Many machine learning algorithms are used to solve binary classification problems. However, all machine learning algorithms are not suited or efficient for solving binary classification problems.

In this paper, authors has proposed a approach. The proposed approach is a machine learning algorithm, to solve binary classification problems. Authors has combined modified stacking and voting ensemble machine learning techniques for binary classification problems. Before combining the ensemble techniques, authors has modified the stacking ensemble technique for making the proposed method more robust.

This proposed method was applied on two different binary class …

Assessing The Fidelity Of Ai-Generated Lessons For Elementary-Grades Stem Topics, Deborah Mcallister

UTC Spring Research and Arts Conference

Teachers collaborated using MagicSchool, an AI tool, for generating lesson plans for elementary-grades mathematics, science, and technology topics. The lessons were evaluated for fidelity to content and lesson plan components. The problem to be answered was two-fold: What is the fidelity of AI-generated lessons for elementary-grades STEM topics? What are teacher perceptions of using an AI tool? Teachers evaluated the standards-based, AI-generated lesson plans. Scores for lesson plans were compared by content area (mathematics, science, technology) and elementary level (lower versus upper) to determine if fidelity is better for a particular content area or level. Teacher perceptions, regarding the use …

Quantum Mechanical Insights Into Heterogeneous Surface Reactions In Chemical Vapor Infiltration, Atal Bhowmik

UTC Spring Research and Arts Conference

This study investigates the decomposition mechanism of Methyl trichlorosilane during Silicon Carbide (SiC) deposition during Chemical Vapor Infiltration (CVI). High-performance applications require SiC-based ceramic matrix composites (CMCs); however, producing them presents difficulties due to limited deposition rates, high energy consumption, and uneven coatings. To overcome these challenges, the mechanism of SiC formation must be understood completely. Modeling surface reactions of MTS decomposition on the SiC substrate using density functional theory (DFT) calculations with the Vienna Ab initio Simulation Package (VASP) is the key point of current research. By focusing on the adsorption, reaction, and desorption mechanisms that control SiC development, …

Risk-Averse Decision-Making In Multiobjective Combinatorial Optimization, Chathuri M. Aththanayake, Lakmali Weerasena

UTC Spring Research and Arts Conference

Uncertainty in input data significantly affects the quality of solutions in mathematical optimization, making it crucial to explore alternative decisions when the selected decision becomes unavailable or suboptimal. This study introduces a novel risk-averse decision-making approach for cases where objective function coefficients are uncertain in multi-objective combinatorial optimization problems. We construct a region in the objective space based on reference solutions obtained from the deterministic formulation. Alternative decisions, identified using a neighboring structure that falls within this region, are used to determine risk-preference solutions. We propose two sets of indices to quantify the quality of outcomes and neighboring decisions in …

Artificial Wetlands Provide Hope For Municipal Sewage Effluent Treatment And Biodiversity Declines, William T. Bryant

UTC Spring Research and Arts Conference

Wetlands provide habitat for a multitude of species worldwide and exist on almost every continent. They act as water filtration systems, cycle organic and inorganic nutrients, prevent flooding and mitigate storm damage. As the human population continues to expand and cities continue expanding, more infrastructure is needed for water treatment and providing green spaces for citizens to enjoy. This literature review analyzes the current data on the effectiveness of constructed wetlands in the treatment of sewage effluent and how they impact the biodiversity of the local ecosystem. The databases Web of Science, ProQuest and Agriculture, Ecosystems and Environment were utilized. …

Le Mythe De Sisyphe, Albert Camus

Hannah Arendt Marginalia - All

Gallimard, 1942

Call #: PQ2605.A3734 M9 1942

Contains underlining and marginal lining

PDF Information: 55 pages – 42 MB

Effects Of Aerobic Exercise On Physical Fitness In Obesity Using Fox Vs. Tanaka’S Maximum Heart Rate And Percentage Vs. Karvonen Methods, Maninthorn Rugbumrung, Tavarintorn Rukbumrung, Sittiwit Impanya, Adison Thurayot

International Journal of Exercise Science

International Journal of Exercise Science 18(8): 695-711, 2025. The intensity of aerobic exercise is influenced by maximum heart rate (MHR), which can be assessed through an incremental exercise test. However, this method requires specialized equipment and a level of fitness that individuals who are sedentary or overweight may lack. Therefore, estimating MHR using formulas is essential. Various methods exist to calculate MHR, but their effects on fitness in obese individuals remain unclear. This study aimed to investigate the effects of aerobic exercise using different intensity calculation methods, specifically comparing Fox's and Tanaka's maximum heart rate (MHR) equations, as well as …

Review Of Teaching Primary Source Research Skills To 21st-Century Learners, Alexandra Y. Bush

Journal of Contemporary Archival Studies

In Teaching Primary Source Research Skills to 21st-Century Learners, Julie Thomas offers guidance and encouragement to instructors of primary source research skills. Largely without sacrificing detail or quality of analysis, Thomas provides information on existing resources, required literacies and competencies, pedagogical theory, and advice on programmatic sustainability that are accessible to readers at a wide range of professional levels. Drawing on benchmarks and taxonomies across disciplines, this book outlines the components and considerations needed to sustain a primary source research skills teaching program. The text offers an accessible and extensible method of deepening one’s understanding of the field while …

Wireless Sensor Networks In Renewable Energy Monitoring: A Comprehensive Survey Of Protocols And Applications, Atheer Yousif Oudah, Lina M. Shaker

AUIQ Technical Engineering Science

The global shift to sustainable energy has heightened the demand for smart, robust, and efficient monitoring systems. Wireless Sensor Networks (WSNs) play a key role by enabling real-time data collection, decentralized control, and flexible communication in renewable energy applications. This review presents a comprehensive analysis of WSN architectures, routing protocols, and deployment strategies tailored to photovoltaic (PV) arrays, wind energy systems, hydroelectric plants, and smart microgrids. Core operational challenges are examined through a critical evaluation of energy-aware routing protocols including LEACH, PEGASIS, TEEN, ZRP, and advanced variants like EE-OLEACH and PT-Hybrid. Real-world applications, such as offshore wind farms, rooftop PV …

Comparative Analysis Of Linear And Non-Linear Feature Selection For Breast Cancer Detection With Shap Analysis, Hamza Sabo Maccido

AUIQ Technical Engineering Science

Breast cancer remains one of the leading causes of mortality worldwide, emphasizing the critical need for accurate and efficient diagnostic tools. This study investigates the effectiveness of combining linear and non-linear feature selection methods-Principal Component Analysis (PCA), Pearson Correlation Coefficient (PCC), and Backpropagation Neural Networks (BNN) to improve breast cancer classification using machine learning models. We utilized the Wisconsin Breast Cancer Dataset to evaluate the performance of five classifiers-Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Logistic Regression (LR), Decision Tree (DT), Naïve Bayes (NB) and Artificial Neural Network (ANN). The results demonstrated that BNN-selected features consistently outperformed PCA and PCC …

Retracted: Dynamics And Stability Analysis Of 8-Dimensional Hyperchaotic Systems: Study Of Lyapunov Exponents, Abdulsattar Abdullah Hamad, Nida Muhsin Ali, Muayyad Mahmood Khalil

Iraqi Journal for Computer Science and Mathematics

This research explores the complex dynamics of an 8D hyperchaotic system, focusing on its trajectory stability and behavior under various control parameters. By using numerical simulations, we investigate the relationship between the Lyapunov components and the stability of the system. It provides a quantitative measure of the chaos within the model of the matrix, whose derivation consists of the system's sensitivity to perturbation, simulating chaotic systems in high dimensions faces challenges such as high computational resource demands. Difficulty in ensuring numerical convergence and stability. The results highlight the profound impact of control parameters on the dynamic behavior of hyperchaotic systems. …

Corneal Elevation Maps Patterns Classification Using Correlation Method, Sura M. Ahmed, Nebras H. Ghaeb, Salman Yussof, Noor T. Al-Sharify, Husam Yahya Nser, Zainab T. Al-Sharify, Ong Hang See, Leong Yeng Weng

Iraqi Journal for Computer Science and Mathematics

The ophthalmologist uses various techniques to diagnose corneal abnormalities, including corneal topography and tomography devices. Currently generated color corneal elevation surface maps from topographic imaging devices are essential for detecting ocular diseases, while accurately classifying these maps to differentiate between different shapes remains an issue. This study aims to assess and compare parameters of the front and back corneal surface elevation map patterns of normal/abnormal corneas. Two hundred cases were randomly taken (100 normal and 100 abnormal) with a single normal reference image, and then an additional 25 cases were added later for the optimization process. The preprocessing of all …

Retracted: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Ayan Sar, Hussain Falih Mahdi, Sumit Aich, Pranav Singh, Tanupriya Choudhury

Iraqi Journal for Computer Science and Mathematics

Hysterical conversion has similar cognition and behaviours to those in the case of ASD; it is, therefore, complex when diagnosing and classifying the condition. The majority of employed diagnostic tests are cross-sectional and fail to describe the developmental and clinical features of ASD; for this reason, they are pretty inaccurate in the diagnosis of ASD and thus cause disparities in the efficiency of the therapeutic interventions used. The present study's research contribution is a new application of deep learning that aims to analyse the spectrum of ASD with gradient-based classifications. In this case, we use a DL model trained on …