Digital Commons Network^™

A Certainty-Weighted, Belief-Based Model Of Political Attitudes: A Bayesian Analysis Of American Public Attitudes Toward The Affordable Care Act, Gabriel Miao Li, Josh Pasek, Jon A. Krosnick

Communication Faculty Articles and Research

This study proposes a novel, certainty-weighted account of the process by which political beliefs shape political attitudes. Building upon expectancy-value frameworks, this paper introduces belief certainty as a moderator of belief impact. A Bayesian partial-pooling approach is used to test a model positing how beliefs about what the Patient Protection and Affordable Care Act does and does not do relate to overall attitudes toward the law. This analytic method manages the complexity of multiple potentially correlated beliefs and evaluations by imposing a structural constraint to avoid multicollinearity and enable accurate estimation of parameters. Data from a nationally representative sample survey …

An Active Learning Simulation For Teaching Hadoop In An Undergraduate Business Curriculum, Ruben A. Mendoza Ph.D., Liyuan Liu Ph.D.

International Journal for Business Education

This paper shows the effectiveness of an experiential learning activity for teaching core Hadoop concepts to undergraduate business students across all majors (Finance, Marketing, etc.). The complexity of Hadoop, with its distributed computing model and deep technical requirements, presents significant challenges in educational settings. The simulation was developed for an introductory course in a Business Intelligence & Analytics (BI&A) curriculum and adapted for use in a Database Management (DB) course. Results show significantly higher performance on questions centered on the topic in an online test preparation game with a total of 236 students in 11 different offerings of the course. …

Jhtdb-Wind: A Web-Accessible Large-Eddy Simulation Database Of A Wind Farm With Virtual Sensor Querying, Xiaowei Zhu, Shuolin Xiao, Ghanesh Narasimhan, Luia A. Martinez-Tossas, Michael Schnaubelt, Gerard Lemson, Hanxun Yao, Alexander S. Szalay, Dennice F. Gayme, Charles Meneveau

Mechanical and Materials Engineering Faculty Publications and Presentations

This paper introduces JHTDB-wind (https://turbulence.idies.jhu.edu/datasets/windfarms), a publicly accessible database containing large-eddy simulation (LES) data from wind farms. Building on the framework of the Johns Hopkins Turbulence Database (JHTDB), which hosts direct numerical and some large-eddy simulation datasets of canonical turbulent flows, JHTDB-wind stores the full space-time (4D) history of the flow and provides users the ability to access and query the data via a web-based virtual sensor interface. The initial dataset comprises LES results from a large wind farm with 6 X 10 turbines, modeled using a filtered actuator line method, under conventionally neutral atmospheric conditions. This data comprises one …

Translanguaging In Indonesian Efl Classrooms: Pedagogical Insights And Student Perspectives, Fauzi Miftakh, Elih Sutisna Yanto, Annisa Fitria Harjadi

The Qualitative Report

This study investigates translanguaging practices in Indonesian secondary English classrooms and analyzes how teachers and students use multiple languages to enrich the learning experience. Drawing on observations, interviews, and field notes from two teachers and four students in West Java, the study found that translanguaging fosters student comprehension, confidence, and identity affirmation. Teachers strategically used English, Indonesian, and Sundanese to scaffold instruction across various phases, creating an inclusive learning environment. Students responded positively, pointing to a reduction in anxiety and improved participation. These findings are consistent with sociocultural learning theories and challenge monolingual ideologies. The study concludes that translanguaging is …

Physics Teachers' Perceptions About Diagnostic Assessment Of Students' Physics Misconception: A Phenomenological Study, Mutmainna Mutmainna, Edi Istiyono, Haryanto Haryanto, Heri Retnawati, Caly Setiawan

The Qualitative Report

Physics learning needs to be designed by teachers to minimize misconceptions. Different diagnostic tools have been developed and used by researchers to identify student misconceptions. However, each tool has advantages and disadvantages. Therefore, teachers play a crucial role, including their understanding of misconceptions and their ability to select the most effective tools according to their purpose. This study sought to uncover the experiences of eight physics teachers through phenomenological studies. Physics teachers involved in this research had diversity based on the period of experience teaching physics, geographical area, and education level. A virtual semi-structured interview (40 to 60 minutes) for …

Assessing Community Readiness And Benefits Of A Nursing Program: Implications For Healthcare And Education, Mary Anne Frances D. Reyes, Aaron A. Funa, Robert Jamisola, Ma. Joahna D. Perdigon, Jerica D. Latonero

Jurnal Keperawatan Indonesia

In response to recent policy shifts allowing the establishment of new nursing programs in the Philippines, this study assesses the perceived readiness of Sorsogon, a geographically underserved province, to implement a bachelor of science in nursing program. It also explores the anticipated benefits that such a program may offer to students and the local community. A cross-sectional survey of 375 stakeholders, selected through purposive sampling, was conducted using a validated instrument developed through expert consultation. Quantitative data were analyzed using descriptive statistics, while qualitative responses were examined through thematic analysis. The findings reveal widespread support for the proposed program, emphasizing …

Simulation Of Stress, Deformation, And Vibration In Unlubricated Ball Bearings At Varying Rotational Speeds, Billy Dwiki, Moh. Hartono

Journal of Mechanical Engineering Science and Technology (JMEST)

Bearings are critical components in rotating machinery, and their performance is highly influenced by operational factors such as rotational speed, load, and lubrication. This study aims to analyze the deformation, stress, and dynamic behavior of SAE 52100 bearings under dry operating conditions at various rotational speeds, as well as to propose mitigation strategies for high-speed industrial applications. A finite element simulation was conducted using ANSYS R19.2 to evaluate the total deformation, equivalent elastic strain, Von Mises stress, and vibrational characteristics of a 6204-type SAE 52100 bearing. The simulations were performed across a speed range of 600 to 2000 RPM under …

The Impact Of Pine Resin-Epoxy Ratios On Fire Resistance And Acoustic Performance Of Banana Fiber Composites, Cokorda Istri Putri Kusuma Kencanawati, Dewa Ngakan Ketut Putra Negara, I Gede Andy Andika Parahita

Journal of Mechanical Engineering Science and Technology (JMEST)

Because of their low environmental impact and biodegradability, composite materials derived from natural fibers and resins have drawn interest as sustainable substitutes for synthetic materials in thermal and acoustic applications. Two promising natural components are banana stem fiber and pine resin, but they need to be modified due to their mechanical limitations and flammability. Epoxy resin is commonly used to enhance structural performance; however, its effects on acoustic and fire resistance properties require further investigation. This study examined how different epoxy resin contents affected the sound absorption and fire resistance of composites made from banana stem fiber and pine resin. …

Effect Of Argon Gas Flow Rate On Crystal Structure, Morphology, And Optical Properties Of Cigs Film For Photodetector Applications, Nurul Lathi’I Fatul Chamidah, Fadilah Wulan Cahyani, I Gusti Ayu Isnaini Fatha Ramadhani, Erma Surya Yuliana, Nasikhudin Nasikhudin, Safwan Abd. Aziz, Nandang Mufti

Journal of Mechanical Engineering Science and Technology (JMEST)

CIGS material can be used as a material for photodetector applications. The deposition of CIGS thin films remains challenging. Generally, argon is used as a gas to bombard the CIGS material through the sputtering method. This study fabricated photodetectors by varying the argon gas flow rate (50-80 sccm) to investigate its effect on device performance. XRD, SEM, UV-Vis, and photoresponse tests were characterized. Structural analysis using XRD showed a weak (112) diffraction peak, indicating that the resulting film was not fully crystalline, but rather consisted of a nanocrystalline phase, even partly amorphous, with small crystallite sizes. According to the SEM …

Numerical Analysis Of The Effect Of Vortex Generator On The Aerodynamic Performance Of Naca 6412 Airfoils Using Large Eddy Simulation, Dedet Hermawan Setiabudi, Joan Bayuaji Nugroho, Eli Kumolosari, Lazuardy Rahendra Pinandhita, Okto Dinaryanto

Journal of Mechanical Engineering Science and Technology (JMEST)

Aerodynamic performance of an airfoil is significantly affected by flow separation, especially at high angles of attack. One common strategy to control flow separation is adding a triangular vortex generator (VG), which creates small vortices that help keep the airflow attached. The present study investigated the impact of triangular vortex generators on a NACA 6412 airfoil using Computational Fluid Dynamics (CFD) method. Large Eddy Simulation (LES) was applied due to its ability to show the vortices more clearly than other methods. It can also accurately capture the flow separation. To obtain the lift, drag, and lift-to-drag ratio (CL/CD) data, four …

Impact Of Cpo And B35 On Diesel Engine Rocker Arm Wear During Long-Term Operation, Fawwaz Aqilah Nurmansyah, Nur Fadilah Rizky Supramono, Muhammad Ikhsan, Erwan Adi Saputro, Wiliandi Saputro

Journal of Mechanical Engineering Science and Technology (JMEST)

The increasing number of motor vehicles has led to higher fossil fuel consumption, contributing to greenhouse gas emissions, climate change, and environmental degradation. As a renewable alternative, biodiesel offers a way to reduce these impacts. Indonesia, with its abundant natural resources, has significant potential for biodiesel production. Crude palm oil (CPO) is a promising feedstock due to its availability and relatively low environmental impact. However, the high costs associated with the transesterification process make direct use of pre-heated CPO an area worth exploring. This study investigates the impact of pre-heated pure CPO compared to B35 ("Dexlite") on rocker arm wear …

Historical Context In Mathematics Education: Improving Student Engagement And Achievement, Colette Chilton-Carr

Electronic Theses and Dissertations 2020 - Present

There are many informational gaps in contemporary mathematics education. Students see the mathematical topics they are being taught as facts and procedures unrelated to each other or to themselves as mathematicians. Many ancient developments in the realm of mathematics are still relevant today, showcasing the needs that motivated their longstanding evolution. By including the stories behind the formulas in mathematics classrooms, students from diverse backgrounds can feel seen and connected to their education. The inclusion of the holistic background of mathematics cannot be nurtured in the classroom without buy-in on the parts of both students and instructors, as well as …

Performance Of Reinforced Soft Soil Using Geogrid-Encased Granular Piles Under An Embankment, Mohamed Elsawy

HBRC Journal

Geosynthetic encasements are used to promote the water outlet and reinforcement efficiency of stone piles in weak soil. The current study focuses on simulating an embankment with field measurements built on soft soil improved by conventional stone piles (CSPs). Both 3D and 2D plane strain models were employed to model various embankment components. The granular piles were improved with geosynthetic materials to evaluate the encasement leverage on the stone piles performance in soft soil. Consolidation process was conducted to examine the reinforced clay behavior at long-term conditions. The finite element analyses findings indicated good matching with field measurements for soft …

Factors Affecting The Cost Of Dynamic Architecture During The Execution Phase, Lamiaa Mohamed Said Elsherif, Eman N. Shaqour, Abdullah Badawy Mohammed, Sherif Mohamed Sabry El Attar

HBRC Journal

This study is part of a larger study on the factors affecting the cost of dynamic architecture during three phases (design, execution and operation), A research paper on the design phase has been published. and we will specialize in this research by studying the execution phase.

This research study is based on identifying the main factors affecting the cost of dynamic, buildings by conducting a questionnaire and analyzing it statistically by using IBM SPSS Statistics 25. To get to the definition of dynamic architecture and Types of movement directions in dynamic buildings.

By studying each of the principles of movement …

Assessment Of The Relationship Between Performance Attributes And The Social Sustainability Framework Of Construction Projects, Van Luy Tong, Truong Van Luu

HBRC Journal

The study addresses the missing aspect of assessing social sustainability in construction project performance evaluation. While environmental and economic aspects have been widely considered, social sustainability remains largely unexplored. The study seeks to analyze whether 11 performance attributes (including 5 short-term project performance attributes and 6 long-term project performance attributes) in the construction project performance model being implemented in Vietnam reflect social sustainability in construction projects. The study applies structural equation modeling (SEM) to examine the relationship between these 11 performance attributes and the social sustainability criteria framework. A questionnaire was designed to collect data from stakeholders involved in construction …

Accuracy Of Student Career Choice: Analysis Of Interest And Personality Match In The Industry 4.0 Era, Nikon Aritonang, I Nyoman Sudana Degeng, M Ramli, Adi Atmoko

Buletin Konseling Inovatif

This study aims to clarify the high number of college students choosing unsuitable career choices. The impact of choosing an unsuitable career path can significantly hinder the development of Indonesian human resources in the context of the industry 4.0 era. This is caused by shifting paradigms in the recruitment process of most companies or institutions that no longer prioritize a diploma as the key factor in seeking new hires. Instead, there is greater emphasis on the employee's skills, interests, creativity, and innovation, followed by a diploma and achievement index. Descriptive-qualitative design was employed. Samples were collected from college students at …

Blind Medical Image Watermarking Method Using Combined Nsct/2d-Dct Domains, Ali Kouadri, Ali Benziane, Abdelhalim Rabehi, Mohamed Lebcir

Iraqi Journal for Computer Science and Mathematics

This paper presents a novel blind watermarking framework that combines Non-Subsampled Contourlet Transform (NSCT) and 2D Discrete Cosine Transform (DCT) domains. The proposed method embeds the watermark’s data within low-frequency coefficients of sub-vectors extracted from a concatenated NSCT/2D-DCT transforms processing. The embedding procedure involves simple differential processing which ensures a straightforward watermark extraction. Extensive testing across medical imaging modalities (X-ray, CT, MRI, ultrasound) confirmed strong imperceptibility and robustness against attacks like JPEG compression, noise, filtering, and geometric manipulations. Compared to contemporary techniques, our NSCT/2D-DCT method shows stronger robustness against attacks without compromising diagnostic quality, proving its viability for medical image …

A New Goodness-Of-Fit Test For Azzalini’S Skew-T Distribution Based On The Energy Distance Framework With Applications, Joseph Njuki, Abeer M. Hasan

Mathematics and Statistics

In response to the growing need for flexible parametric models for skewed and heavy-tailed data, this paper introduces a novel goodness-of-fit test for the Skew-t distribution, a widely used flexible parametric probability distribution. Traditional methods often fail to capture the complex behavior of data in fields such as engineering, public health, and the social sciences. Our proposed test, based on energy statistics, provides practitioners with a robust and powerful tool for assessing the suitability of the Skew-t distribution for their data. We present a comprehensive methodological evaluation, including a comparative study that highlights the advantages of our approach over traditional …

Is Complexity Virtuous?, Ryan Elmore, Jack Strauss

Business Information and Analytics: Faculty Scholarship

(Kelly et al., 2024) show that increasing complexity in linear models, with potentially thousands of predictors, is "virtuous". Their work contradicts the dogma of model selection, including the Principles of Parsimony and Occam's Razor. They find that when the number of predictors far exceeds the number of observations, the bias-variance trade-off breaks down, the variance declines, and the Sharpe ratio increases. In the context of ridge regression, we find that very high complexity coupled with large penalty terms (excessive shrinkage) generate forecasts that converge to a rolling window of past returns. For example, we show the past twelve-month moving average …

Integrated Genetic And Protein Mechanisms Underlying Glucagon-Like Peptide-1 Receptor Agonists In Treating Diabetes Mellitus And Weight Loss, Lucas Francis, Merlin G. Butler

Student Publications

Glucagon-like peptide-1 receptor (GLP1R) agonists, such as semaglutide, are used for treating type 2 diabetes mellitus and promoting weight loss. This study investigates genetic and molecular mechanisms underlying GLP1R activation using a novel in silico approach to identify effects on metabolism, glucose and insulin production, gastrointestinal motility, behavior, and satiety. This approach used three separate searchable web-based programs and databases (STRING, Pathway Commons, and BioGRID) to identify and analyze functional gene and protein interactions with mechanisms to query GLP1R and related metabolic and appetite regulatory networks with disease associations. We examined integrated gene–gene and protein–protein interactions, pathways, molecular functions, associated …

Climate Change Has Increased Global Evaporative Demand Except In South Asia, Saeed Karimzadeh, Arman Ahmadi, Dennis Baldocchi, Joshua B. Fisher

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Climate change alters how strongly the atmosphere draws water from the land, yet a consistent global assessment of this evaporative demand has been lacking. Here, we analyze 45 years of climate data and global models to quantify trends in the key drivers—air temperature, humidity, radiation, wind speed, and cloud cover—that determine the atmosphere’s drying power. We find that evaporative demand has increased worldwide, indicating a stronger atmospheric thirst, except in South Asia, where it has declined. There, widespread irrigation has increased soil and air moisture, enhanced cloud formation, and reduced sunlight reaching the surface, counteracting the global signal. These contrasting …

An Enhanced Cyber Security For Finger Knuckle Print Recognition System Using Rubik’S Cube With Rabbit Encryption Algorithm, Haitham Salman Chyad, Tarek Abbes

Iraqi Journal for Computer Science and Mathematics

Cybersecurity in biometric systems is an urgent requirement due to their increasing use in identity verification, especially in smartphones, surveillance systems, and electronic transactions. These systems depend on distinctive and immutable biological features, such as fingerprints, Knuckles and facial features, making them potential targets for cyberattacks. In this context, the need to develop advanced security mechanisms, including encryption, forgery detection, and multi-factor authentication, has emerged to guarantee the confidentiality of biometric data and protect it from identity theft or manipulation. This trend emphasizes the need to integrate cybersecurity and biometric technologies to secure and ensure the reliability of systems in …

From Digital Divide To Equity-Enhancing Diffusion: Generative Ai And Writing Quality, Rebecca Tukachinsky Forster, Kerk Kee, Gabriel Miao Li

Communication Faculty Articles and Research

This study investigates whether generative AI can narrow the gap between stronger and developing writers and explores the mechanisms underlying these effects. In a within-subject experiment, students wrote two essays, with and without AI assistance. Computer-aided analysis of the writing quality confirmed that while all students benefited from AI, that less skillful writers gained more. There was also no evidence of skillful writers using AI in more sophisticated and beneficial ways. The study contributes to theorizing the digital divide and offers insights into maximizing the benefits of AI tools. Theoretically, we situate generative-AI use within Diffusion of Innovations, treating ChatGPT …

Benchmarking Dna Foundation Models For Genomic And Genetic Tasks, Haonan Feng, Lang Wu, Bingxin Zhao, Chad Huff, Jianjun Zhang, Jia Wu, Lifeng Lin, Peng Wei, Chong Wu

School of Medicine Faculty Publications

The rapid evolution of DNA foundation models promises to revolutionize genomics, yet comprehensive evaluations are lacking. Here, we present a comprehensive, unbiased benchmark of five models (DNABERT-2, Nucleotide Transformer V2, HyenaDNA, Caduceus-Ph, and GROVER) across diverse genomic and genetic tasks including sequence classification, gene expression prediction, variant effect quantification, and topologically associating domain (TAD) region recognition, using zero-shot embeddings. Our analysis reveals that mean token embedding consistently and significantly improves sequence classification performance, outperforming other pooling strategies. Model performance varies among tasks and datasets; while general purpose DNA foundation models showed competitive performance in pathogenic variant identification, they were less …

Improving Glycemic Control Among Indonesian Urban Adults: A Digital And Behavioral Extension Of The Information–Motivation–Behavioral Skills Model, Imelda Appulembang

Kesmas

Management of type 2 diabetes mellitus (T2DM) in Indonesia continues to face challenges due to behavioral, informational, and technological gaps among patients. This study analyzed the influence of self-regulatory competence and information, motivation, family support, and digital health literacy on glycemic control behavior. A cross-sectional survey was conducted from February to April 2025 among 587 adults aged >30 years with T2DM enrolled in the Chronic Disease Management Program at primary health care in six major cities: Jakarta, Surabaya, Yogyakarta, Medan, Makassar, and Banjarmasin. Data were collected through structured questionnaires and analyzed using partial least squares structural equation modeling. The findings …

High Variability In Flood Discharge And Stage Accelerates River Mobility, Chenliang Wu, Wonsuck Kim, Shuo Yang, Frank Tsai, Jeffrey A. Nittrouer, Tian Y. Dong, Duhwan Keum, Kyle M. Straub

School of Earth, Environmental, & Marine Sciences Faculty Publications

Lateral channel migration is a fundamental process in natural alluvial rivers; however, the factors that control the rate of migration remain unclear. Despite its importance in shaping river morphology, the impact of water discharge on river mobility is still largely unexplored. Here, we leverage a dataset of 64 rivers across the globe to show that higher variability in river discharge and stage promotes higher rates of river migration. To reveal the physical processes behind this relationship, we focused analyses on the lowermost 500 kilometers of the Mississippi River, where a pronounced gradient in water stage variability and migration rate exists. …

Development Of A Digestion Procedure Using Fe2+ Ions For Electrochemical Detection Of Mno2 Particles In Drinking Water, Kayla Elliott, Sarah Jane Payne, Zhe She

Journal of Electrochemistry

Developing methods for detection contaminants in drinking water is essential to ensuring that safe and acceptable quality drinking water is delivered to consumers. While manganese (Mn) was previously known only as a mere aesthetic issue, recent epidemiological data has shown to have negative neurological effects on humans, especially on children, prompting new health-based guidelines by Health Canada and the World Health Organization. In drinking water, Mn exists predominantly as Mn(II) and Mn(IV), and is regulated based on total Mn levels. Interestingly, measurement of Mn particulate using electroanalytical methods has not yet been reported in the literature. Herein, a digestion procedure …

Regulating Lithium Metal Nucleation And Growth For Dendrite Suppression: From Liquid-Electrolyte To Solid-State Batteries, Ao Du, Juan Zhang, Pan Xu, Ya-Jie Li, Kang-Yu Yi, Zhen-Zhen Shen, Hui-Lin Ge, Guang-Wen Zhang, Chao-Hui Zhang, Yu-Hao Wang, Chen-Zi Zhao, Meng-Yang Xu, Yu-Lin Jie, Rui Wen, Shu-Hong Jiao, Si-Qi Shi, Qiang Zhang, Chun-Peng Yang, Yu-Guo Guo

Journal of Electrochemistry

Lithium metal anodes, with a theoretical capacity of up to 3860 mAh·g⁻¹, are regarded as the cornerstone for developing next-generation high-energy-density batteries. However, several key challenges hinder their practical applications, including dendrite formation, unstable solid electrolyte interphase (SEI), side reactions with electrolytes, and associated safety risks. This review systematically explores the mechanisms of lithium nucleation, growth, and stripping in both liquid and solid-state battery systems, analyzing critical theoretical concepts like heterogeneous nucleation thermodynamics, surface diffusion kinetics, space charge effects, and SEI-induced nucleation, which are crucial for understanding the genesis of dendrite growth. Additionally, the review discusses the electrochemical-mechanical …

Biocompatible And Antibacterial Pcl-Tio2@Ag/Γ-Cd Mof Nanocomposite Coating For Corrosion Resistance Of Magnesium Alloy In Simulated Body Fluid, Sara Dehghan-Chenar, Hamid R. Zare, Zahra Mohammadpour, Maryam Sadat Mirbagheri-Firoozabad

Journal of Electrochemistry

Magnesium alloys are promising candidates for bio-implant applications due to their biodegradability and biocompatibility. However, their rapid corrosion remains a critical limitation. This study presents the development of a multifunctional nanocomposite coating designed to enhance the corrosion resistance and antibacterial properties of magnesium alloy implants. The coating comprised γ-cyclodextrin metal-organic frameworks (γ-CD MOFs) decorated with TiO₂@Ag core-shell nanoparticles, embedded in a polycaprolactone (PCL) matrix. Immersion tests in a simulated body fluid (SBF) revealed an initially higher corrosion rate for the PCL-TiO₂@Ag/γ-CD MOF coating compared to the coating without TiO₂@Ag nanoparticles; however, it demonstrated significant …

Ai-Based Mapping Of Offshore Wind Energy Around The Korean Peninsula Using Sentinel-1 Sar And Numerical Weather Prediction Data, Jason Sung-Uk Joh, Son V. Nghiem, Menas Kafatos, Jay Liu, Jinsoo Kim, Seung Hee Kim

Institute for ECHO Articles and Research

Offshore wind farm projects are being promoted in the seas surrounding the Korean Peninsula to secure renewable energy. To support site selection, offshore wind resource maps were generated using deep neural networks trained on Sentinel-1 SAR imagery, numerical weather prediction data, offshore wind observations, sea surface temperature, and bathymetry. The deep neural network (DNN) framework consisted of six sub-models targeting eastward and northward wind components across three regions—the Yellow Sea, Korea Strait, and East Sea—to account for spatial heterogeneity. The proposed models outperformed existing approaches, achieving mean absolute errors (MAE) ranging from 1.31 to 1.69 m/s and correlation coefficients (CC) …