Statistics and Probability Commons^™

Ibi-Dt: A Novel Approach Combining Individualized Bayesian Inference And Decision Tree For Identifying Cancer Drivers And Their Interactions, Md Asad Rahman, Gregory F. Cooper, Jinying Zhao, Xinghua Lu, Jinling Liu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Cancer is mainly caused by a relatively small portion of somatic genome alterations (SGAs), called cancer drivers. Despite success in identifying a good number of cancer drivers, many more remain to be discovered to explain various cancers. Moreover, limited tools are available to identify potential interactions among cancer drivers for a better understanding of oncogenesis. To tackle these challenges, we have developed a novel approach called individualized Bayesian inference using a decision tree (IBI-DT). IBI-DT recognizes the genetic heterogeneity among cancer patients, where different individuals or patient subgroups of distinct genomic makeup may have different drivers. IBI-DT works by constructing …

Effect Of Workplace Design On Collaboration And Satisfaction In Space System Command, Joshua A. Hagood

Theses and Dissertations

This study addresses a significant knowledge gap regarding the influence of physical workplace design on employee collaboration and satisfaction with the physical environment within U.S. Space Force technical military organizations.  While seminal industry research consistently demonstrates that physical design and indoor environmental quality influence employee satisfaction and collaboration (e.g., Candido et al., 2015; Sailer et al., 2021), the understanding of these impacts within military contexts remains limited.  Using a quantitative post-occupancy evaluation survey, adapted from the Sustainable Post Occupancy Evaluation Survey (SPOES), multiple regression analyses revealed that physical elements collectively predict both satisfaction and collaboration.  The final simplified model showed …

Designing An Experiment To Create And Evaluate Behavioral Changes In Air Force Pilots' Fuel Efficiency, Jackson Macias

Theses and Dissertations

Fuel represents over 70% of the logistical resupply demand within the Department of Defense, with the United States Air Force accounting for most of that consumption. While prior fuel efficiency efforts have primarily focused on technical upgrades, this research explores how behavioral interventions can influence pilot decision-making and operational energy outcomes. Using the Theory of Planned Behavior (TPB) as a guiding framework, this study investigates the effects of targeted behavioral strategies on pilots’ attitudes, subjective norms, perceived behavioral control, intentions, and actual fuel-efficient behaviors. A quasi-experimental design was applied through a controlled pilot study using simulator flights. Six participants were …

Trends And Predictive Modeling Of Real Estate Prices In Major Saudi Arabia Cities, Meshal S. Aldahas

Theses and Dissertations

his research examines historical trends and explanatory modeling of real estate prices in major Saudi cities, with a focus on Riyadh, Jeddah, and Dammam. Using a mixed-methods approach, the study integrates quantitative data from 2010–2023, including housing and macroeconomic indicators, with qualitative insights drawn from over 320 survey responses that captured consumer sentiment on affordability, job security, and housing policies. A combination of descriptive statistics, ARIMA and Exponential Smoothing techniques was applied to detect long-term patterns, seasonal variations, and market shocks. Predictive modeling was conducted using Linear Regression, Decision Trees, and Neural Networks, with results showing that job security consistently …

Access To Information On Toddler Family Development Program And Family Participation In Child Growth And Development, Dita Dhammayanti, Demsa Simbolon, Lissa Ervina, Yusran Fauzi

Kesmas

The comprehension of the Toddler Family Development (TFD) Program among families in Indonesia remains limited, likely due to insufficient access to information and low participation rates. Limited participation can negatively affect a family’s ability to support optimal child growth and development. This study examined the relationship between access to information on the TFD Program and family participation in child growth and development. Using secondary data from the 2019 Program Performance and Accountability Survey in Indonesia, the cross-sectional analysis included 21,497 respondents. The results revealed an association between access to information on the TFD Program and family participation in child growth …

Exploring Stunting In South Kalimantan Province Using R Programming-Based Data Visualization, Muhammad Hudaya, Wahyudin Nor, Mellani Yuliastina, Muhammad Nordiansyah

Kesmas

South Kalimantan Province continues to face the challenge of relatively high stunting prevalence despite being endowed with abundant coal resources that could serve as a source of funding for public health. Therefore, this study aimed to examine differences in stunting prevalence among cities, mining districts, and non-mining districts in South Kalimantan to raise stakeholder awareness of disparities across these regional types. This study was conducted between April and December 2024, using secondary data obtained from the Indonesian Ministry of Health and the South Kalimantan Provincial Government. R programming was used to process the data, generate visualizations, and perform analysis of …

Understanding User Needs In Health Crisis Risk Monitoring Information System Development: A Lesson From Tasikmalaya District, Indonesia, Arief Tarmansyah Iman, Hari Kusnanto, Ariani Arista Putri Pertiwi

Kesmas

A health crisis risk monitoring information system needs to be developed, especially during the pre-disaster phase; therefore, understanding the needs of prospective users is crucial. This study aimed to investigate the needs of potential users regarding the development of this system. This study employed a qualitative, exploratory approach to gather user needs from stakeholders through interviews (n = 7) and one focus group discussion (n = 12). The data were audio-recorded, transcribed verbatim, and then thematically analyzed using qualitative content analysis. The need for information was related to disaster preparedness and its preferred format. The system should be targeted, multiplatform, …

Low Economic Level And The Risk Of Overweight Among Indonesian Junior And Senior High School Students, Ariyanto Nugroho, Purwo Setiyo Nugroho, Amarin Yudhana, Sri Sunarti

Kesmas

Overweight and obesity among Indonesian adolescents have emerged as a pressing public health issue, reflecting global trends. This study examines the relationship between economic status and overweight prevalence among junior and senior high school students in Indonesia, using secondary data from the Global School-based Health Survey (GSHS). This study analyzed data from 9,977 students aged 11–18 years through a cross-sectional design and binary logistic regression, adjusting for dietary habits, physical activity, and sedentary behavior. Overall, 14.7% of students were overweight; the prevalence was notably higher among low-income students (27.4%) compared to high-income groups (14.2%). Students from lower economic backgrounds were …

A Modern Analytical Method To Forecast Cerebrovascular Diseases (Cd), And Heart Diseases (Hd) Using Multivariate Time Series Model Utilizing The Cdc Provisional Mortality Data, Aditya Chakraborty, Mohan Pant

Cardiovascular Research Symposium

Background: In this study, a new analytical approach was introduced to answer specific questions related to mortalities due to cerebrovascular diseases, heart diseases, and the association of these mortalities with twelve other causes of death (COD).

Methods: A multivariate time series forecasting model was developed utilizing each of the CODs by taking the weekly and yearly seasonality into account, and the mortality counts were forecasted using the most recent CDC weekly mortality count data. A new COD data matrix was structured for all CODs as a function of weeks by combining the observed and predicted values of the mortality counts. …

Nba Player Types And Salaries: Assessing The Disparities In Pay, Nick Riccardi, Rodney J. Paul

Sport Management - All Scholarship

The purpose of this study was to identify player types that exist in the modern National Basketball Association (NBA), test whether player types are paid differently controlling for performance and other factors and construct successful rosters with cheaper payrolls.
We collected performance statistics and salary data for players and teams across five seasons (2018-19 to 2022-23). Cluster analysis is leveraged to group together player-seasons to identify the player types that exist in the NBA. Linear regression models are run to test for differences in pay by cluster membership while controlling for performance, age, and contractual details. Linear programming simulation models …

Indifferentiability Analysis Of Symmetric Key Ciphers, Sayantan Paul

Doctoral Theses

The thesis presented here analyses the security of certain selected symmetric key ciphers - The ciphers analyzed are the 2 and 3-round Confusion-Diffusion Network, the 3-round Cascade Cipher with two independent keys, and the Feistel Construction with 7 and 8 rounds. Substitution Permutation Networks (SPNs) are widely used in the design of modern symmetric cryptographic building blocks. Attacks against the 2-round Confusion-Diffusion Network construction have been exhibited by Dodis et al. (2016a) in their Eurocrypt 2016 paper titled ‘Indifferentiability of Confusion-Diffusion Networks’, and by Da, Xu and Guo (2021b) in their paper ‘Sequential Indifferentiability of Confusion-Diffusion Networks’. Both attacks mentioned …

Comparing Ordinary Least Squares And Quantile Regression: A Causal-Comparative Approach To Modeling Conditional Relationships, Samuel Nnorom

Electronic Theses and Dissertations

Ordinary Least Squares (OLS) regression has traditionally been the preferred quantitative method for estimating linear relationships. However, it assumes that the effect of a predictor variable remains constant across the entire outcome distribution, which can miss important insights when data are heterogeneous. Quantile Regression (QR), on the other hand, offers a more detailed analysis by focusing on the full response variable distribution, thereby revealing different relationship patterns at various quantiles within the outcome. This study compares how OLS and QR perform in modeling conditional relationships within a causal-comparative framework based on ex post facto research. Using the mortality data from …

Machine Learning Research On Time Series Data, Zeyi Fan

Lingnan Theses (MPhil & PhD)

Time series generated by complex systems, such as industrial IoT and user behavior systems, confront two core challenges: structured missingness (e.g., continuous or periodic gaps) that disrupt temporal dependencies, and the difficulty in effectively modeling dynamic long- and short-term temporal dependencies inherent in evolving patterns (e.g., user interests). Traditional approaches struggle to balance the preservation of local dependency continuity and the rational association of global long-range dependencies in structured missing scenarios, often incurring high computational costs. In temporal pattern modeling, the lack of adaptive mechanisms to fuse evolving long- and recent behavior trends (e.g., stable interest inertia vs. short-term preference …

Spatial Patterns In Electronic Health Record Data-Based Predictive Modeling: A Case Study Of Prenatal Care And Preeclampsia, Abigail Lewis

McKelvey School of Engineering Graduate Student Theses & Dissertations

The electronic health record (EHR) documents interactions between patients and healthcare systems and is widely used for secondary research on health outcomes due to broad adoption. While EHR data support efficient clinical informatics research, they are subject to biases stemming from healthcare seeking behavior, health system attributes, and individual or environmental characteristics. Place-based characteristics, in particular, strongly influence when and how patients access care and shape health outcomes. These biases in EHR data can affect predictive modeling pipelines which leverage them, contributing to variation in model performance across groups. In healthcare, where predictive models are increasingly used to guide care, …

Educational Opportunities Of Participatory Gis For Accessibility On A College Campus, Shiya Cao, Heather Rosenfeld, Sarah Susnea

Statistical and Data Sciences: Faculty Publications

The educational benefits of Participatory GIS (PGIS) in geographic higher education have received limited direct attention, often because of the complexities of integrating PGIS into university curricula. While a few exceptions found important educational benefits of PGIS, extant studies focused primarily on the educational benefits for students who worked in the research teams, instead of participants who contributed their local knowledge and perspectives to mapping. Our research aims to understand the educational benefits of PGIS for participants in a campus accessibility mapping project using the modes of experiential learning, positionality, and service learning. Through this, we also provide strategies for …

A Review On Connection Forms Between Bridge Guardrails And Bridge Decks, Li Wei, Li Rutao, Jia Ning, Lu Jian

Journal of China & Foreign Highway

In recent years,with the continuous expansion of highway bridge construction in China,there has been a growing public demand to enhance road safety and the protective capabilities of highway bridges.To meet the engineering application requirements of various bridge forms and bridge guardrails,diverse connection structures between bridge guardrails and bridge decks have been studied both domestically and internationally.However,in current engineering practice,the selection of these connection forms remains challenging,lacking clear reference criteria.Using the analytic hierarchy process and supported by experimental data,this paper comprehensively analyzed the advantages and disadvantages of these connection forms by considering factors such as guardrail protection effectiveness,load-bearing reliability,construction convenience,and ease …

Effect Of Granite Machine-Made Sand Properties On Concrete Performance, Wang Jiliang, Wei Xinyuan, Yu Bo

Journal of China & Foreign Highway

As an important stone resource in China,granite is widely used in the preparation of machine-made sand and other building materials due to its stable physical properties and favorable mechanical performance.In order to promote the better application of granite in machine-made sand for cement concrete,this paper analyzed the mineral composition,particle grading,and mica content of granite machine-made sand.It systematically summarized the influence of these characteristics on the mechanical properties,durability,and volumetric stability of concrete.The results show that the concrete performance declines with increasing mica and stone powder content in granite machine-made sand.Properly limiting their content can improve the mechanical properties and durability of …

Wind Tunnel Test Study On Vortex-Induced Vibration Performance Of Cable-Stayed Bridge With Double-Side Box Open Section Composite Main Girder, Zhou Guohua, Du Guoqiang, Pei Shan, Ding Wangxing, Zhu Zhiwen

Journal of China & Foreign Highway

In order to evaluate the vortex-induced vibration (VIV ) performance of a single-tower ground-anchored cable-stayed bridge with a double-side box open section composite main girder,sectional model wind tunnel tests were conducted under different wind angles of attack and wind speeds.The results show that the torsional stiffness of the π-shaped open section main girder is significantly higher than its vertical bending stiffness.The dominant vibration mode of the main girder is the obvious vibration of the main span,while the ground-anchored abutment effectively stabilizes the cable tower through the back stays.At the damping ratio level specified in the code,within the range of prevailing …

Research On Crack Identification Technology Based On Sobel + Matched Filter Joint Algorithm, Wen Yan, Guo Xiaoqian, Tang Youzhi, Yang Enhui, Qiu Yanjun

Journal of China & Foreign Highway

To address the problems of hollow recognition results,high noise,and poor crack continuity in pavement crack identification using the Sobel algorithm,this paper proposed a joint algorithm combining the Sobel algorithm and matched filter for three-dimensional crack recognition of asphalt pavement.A matched filter in the form of a sine function was designed,and the matched filter was used to extract crack features from the results of the Sobel algorithm.The matched filter results were subjected to threshold filtering and connected domain analysis to effectively solve the hollow recognition problem,while also reducing noise and improving crack continuity.The test results show that the Sobel + matched …

Research On Prefabrication Scheme Of Concrete Barrier Based On Anchorage In Cast-In-Situ Layer, Liang Xiaochong, Kang Hanjing, Luo Yongchuan, Wen Zhiquan, Deng Bao

Journal of China & Foreign Highway

In order to improve the on-site construction efficiency of bridge concrete barriers,a prefabrication scheme for bridge concrete barrier installation was proposed.A structure scheme was developed by anchoring transverse steel bars at the bottom of prefabricated wall panels into the integrated cast-in-situ layer,adopting tongue-and-groove connections between adjacent wall panels,and optimizing the structural configuration and reinforcement of the panels.According to the requirements of the Level VI protection standard,full-scale impact tests using a large bus and a large truck were organized in turn.The results show that the prefabricated concrete bridge barrier can effectively withstand continuous impacts from both large buses and trucks.Its structural …