Physical Sciences and Mathematics Commons^™

Discrete Math For Computer Science - Chapter 27: Paths And Cycles: Graph Connectivity, Houman Kamran Habibkhani

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Discrete Math For Computer Science - Chapter 28: Introduction To Trees: Properties Of Trees, Houman Kamran Habibkhani

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Discrete Math For Computer Science - Chapter 29: Tree Traversals: Spanning Trees, Houman Kamran Habibkhani

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Children Suspected For Developmental Coordination Disorder In Hong Kong And Associated Health-Related Functioning: A Survey Study, Kathlynne F. Eguia, Sum Kwing Cheung, Kevin K.H. Chung, Catherine M. Capio

Health Sciences Faculty Publications

Children with developmental coordination disorder (DCD) have motor difficulties that interfere with their daily functions. The extent to which DCD affects children in Hong Kong has not been established. In this study, we aimed to estimate the prevalence of children suspected of DCD (sDCD) in Hong Kong and to examine the relationship between motor performance difficulties and health-related functioning. We conducted a cross-sectional survey of parents of children aged 5 to 12 years across Hong Kong (N = 656). The survey consisted of the Developmental Coordination Disorder Questionnaire (DCDQ) and short forms on global health, physical activity, positive affect, and …

(Si14-03) Time Proportional Non-Instantaneous Deterioration Decisions For Vendor Managed Inventory System, Hetal Patel, Hardik Soni, Ajay Gor

Applications and Applied Mathematics: An International Journal (AAM)

This article formulates a model for optimizing inventory replenishment decisions for the products that experience non-instantaneous deterioration by allowing partial backlogging. Two-level supply chain (SC) is considered in vendor-managed inventory (VMI) model which contains ‘single-retailer and single-supplier’ for studying the performance. The model considers two constant demand rates which differ from others when deterioration in the product commences. In addition, the general function of time is considered for deterioration rate. Theoretical results are derived to compute the replenishment cycle length. Lastly, the benefit of VMI policy is illustrated through numerical examples. Further, explanation of some features of the VMI model …

(Si14-12) Some Novel Fractional Discrete Inequalities Of Gronwall-Bellman Type And Their Applications To Fractional Difference Equations, Subhash Kendre, Nagesh Kale, Dimplekumar Chalishajar

Applications and Applied Mathematics: An International Journal (AAM)

In this study, we develop multiple power nonlinear generalizations of Gronwall-Bellman type fractional discrete inequalities and fractional sum inequalities through combining functions with powered unknown functions.We have employed technique of reducing power non-linearity into linearity to furnish these refinements. These novel findings present a broader framework for dealing with wider range of nonlinear fractional difference equations and fractional sum-difference equations. The utilization of these inequalities enables to study certain crucial classes of fractional difference equations that arise in the realm of fractional difference calculus, both quantitatively and qualitatively. Several illustrations are provided to examine the boundedness of initial value problems …

(Si14-15) Heat Source/Sink And Chemical Reaction Effects On Micropolar Mhd Nano Fluid Flow In Stretching/Shrinking Sheet, Tejal Nagar, Harshad Patel, Akhil Mittal, Vikas Kori

Applications and Applied Mathematics: An International Journal (AAM)

This paper deals with the effects of a non-uniform heat source/sink and chemical reaction on micropolar nanofluid flow in a stretching and shrinking sheet. The flow is considered as a laminar mixed convective two-dimensional steady flow. In this flow, water is considered as a base fluid, whereas iron oxide is considered to be a conventional fluid. The governing non-linear system of PDEs are transformed into a system of ODEs using the similarity transformation, and HAM is employed for obtaining solutions. For more understanding of the effects of various physical conditions, approximate results are obtained, and expressed graphically. From the results, …

(Si14-11) Analysing Co-Current Imbibition Phenomenon In Heterogeneous Reservoir Using Multistep Hybrid Differential Transform Finite Difference Method, Aruna Sharma, Amit Parikh

Applications and Applied Mathematics: An International Journal (AAM)

The primary focus of this study is to analyse the co-current imbibition phenomenon in an inclined heterogeneous reservoir. This phenomenon occurs during the secondary oil recovery process. Capillary force is responsible for the displacement of a non-wetting phase by a wetting phase, and this phenomenon is called spontaneous imbibition. Imbibition is of two types and can be differentiated based on the direction in which the wetting phase (water) and non-wetting phase (oil) move. If the two phases flow in the same direction, it is called co-current imbibition, and if they flow in the opposite direction, it is called counter-current imbibition. …

Energy Saving Through Climate Education: Climate Sensitization In School For Mindful Consumption At Home, Haritha Saranga, Satyajit Roy, Kanchan Mukherjee

Working Papers

An effective fight against climate change requires both a “top-down” approach and “bottom-up” changes; that is, adopting sustainable practices at the individual and household levels, which requires knowledge, belief, and willingness to engage in climate action. Extant research has shown a number of challenges in bringing about persistent changes in human behavior. We propose to bring about mindful energy consumption behavior at the household level by using children as the conduit for behavior change. Scalable interventions that create awareness about climate change and its impact through early self-regulation in middle and high schools are a promising and cost-effective opportunity to …

The Present And Future Of Ai: Ethical Issues And Research Opportunities, Ankita Srivastava, Marco Marabelli, Danielle Blanch-Hartigan, Jeffrey Moriarty, Evan Carey

Philosophy Faculty Publications

Healthcare is currently a fast-changing industry with AI and generative AI (GenAI) playing a prominent role in the transformation of clinical as well as managerial practices. Clinical practices involve AI to diagnose diseases and develop new drugs and compounds, while managerial practices concern AI-supporting processes such as billing patients and insurance companies, handling electronic medical records, and supporting remote connections with patients, increasingly using virtual and augmented reality. Yet, all these opportunities offered by AI come with challenges involving potential ethical issues, such as discrimination, bias, lack of accessibility, and privacy issues. In March 2024, we organized a panel with …

If You Were A Sesame Street Character, Which One Would You Be? Natural Language Processing And Personality With Big Bird And Friends, Joseph Uran Meyer

Doctoral Dissertations

This paper examined and compared several natural language processing and machine learning techniques in predicting self-reported Big Five personality traits from text responses. The models were validated on the open-source 2019 SIOP Machine Learning Competition dataset (N = 1,689). The techniques evaluated included bag-of-words, Empath dictionary, LSTM networks, fine-tuning Transformer models, and stacked generalization. Results indicated that the present study’s models had lower error in four of the five constructs analyzed. Limitations of the study include use of an MTurk sample and small sample size. Future research should explore similar techniques on larger applicant samples. Practical implications and contributions to …

A Feedback-Guided Analysis Of Environmental, Health And Socio-Economic Factors Affecting Drivers’ Willingness To Shift To E-Jeepneys, Charlotte Kendra Gotangco Gonzales, Katrina Abenojar, Carlos Rosauro Manalo, Melliza Templonuevo Cruz, Maria Obiminda L. Cambaliza, James Bernard Simpas, Imee Delos Reyes, John Wong, Bernell Go, Krizelle Cleo Fowler, Rene Marlon Panti, Emma E. Porio, Jean Jardeleza Mijares

Environmental Science Faculty Publications

The Jeepney Modernization Program involves the replacement of traditional jeepneys with more efficient alternatives, including modern enclosed electric vehicles, alongside operational improvements to the public transportation system. This study aims to assess the environmental, health and socio-economic factors impacting drivers’ willingness to shift to e-jeepneys. Feedback-Guided Analysis was used as a framework for designing an interdisciplinary approach towards understanding the decision-making paradigms of drivers plying a specific route in Quezon City, Metro Manila. Measurements of drivers’ exposure to PM2.5 and associated health parameters were complemented by key informant interviews delving into income, expenses, valuation of benefits and decision-making paradigms. A …

The Virtual Wunderkammer: Integrating Neuroinclusive Design And Ai-Augmented Technologies For Immersive Museum Experiences, Piper Hutson, James Hutson

Faculty Scholarship

The Virtual Wunderkammer represents an innovative paradigm in museum exhibition design, integrating neuroinclusive principles with artificial intelligence (AI)-augmented technologies to foster immersive and cognitively accessible visitor experiences. Historically, the Wunderkammer, or "cabinet of curiosities," served as a precursor to modern museums, offering eclectic collections that stimulated intellectual curiosity and sensory engagement. The contemporary reimagining of this concept utilizes emerging technologies such as augmented reality (AR), virtual reality (VR), haptic feedback, and olfactory-enhanced digital environments to create personalized, adaptive museum experiences. This study explores the critical intersection of neuroaesthetics, cognitive science, and AI-driven interactivity in digital exhibitions, emphasizing their potential to …

Solid-State Crystallization Of Zeolites And Their Use In Plastic Upcycling Applications, Yixin Liao

Doctoral Dissertations

Plastics have been an irreplaceable component of modern technology as well as everyday life. They have brought much convenience to us with their characteristics of great malleability, durability, and stability. The versatile and low-cost nature of plastics also enables their wide engagement in many modern industries including automobile, medical, communication as well as aerospace. Polyethylene (“PE”), made from polymerization of ethylene, is one of the most widely used plastics in the world. Being cheap, flexible, and long-lasting, they are extensively used in the packaging industry, especially for plastic bags and other sorts of containers. However, the durability of plastics, on …

Smoothed Particle Hydrodynamics For Free-Surface Flows And Time Series Forecasting Approach For Computational Fluid Dynamics, Huali Ye

Doctoral Dissertations

With the increase in computing power, numerical simulation has become an essential approach to solving problems in engineering and science. Numerical simulations provide a platform for theoretical validation and facilitate novel discovery. Even though extensive mesh-based numerical methods are utilized, significant limitations exist, particularly in Computational Fluid Dynamics (CFD). Because of the grid distortion, issues related to large deformations, moving interfaces, and free surfaces may lead to considerable computational errors, constraining their efficacy in numerous applications. As a mesh-free method, Smoothed Particle Hydrodynamics (SPH) was introduced in 1977 and has been widely applied in many fields such as astrophysics and …

Best Strategies For Bilingual Education: How Can We Explain Their Success?, Claudia Cabrera, Olga Kosheleva, Christian Servin, Vladik Kreinovich

Departmental Technical Reports (CS)

When designing AI-based tools for education, it is important to take into account the experience of human teachers. In this, it is necessary to distinguish between the education features that are justified by the general features of the corresponding education task -- these features should be taken into account in AI-based learning as well -- and features which are specific for traditional non-AI teaching. In this paper, on the important example of bilingual education, we show that several empirically successful teaching strategies can be explained in the general context -- and thus, should be implemented in AI-based teaching as well.

Novel Approach To Traveling-Wave-Based Fault Location In Nonhomogeneous Transmission Lines, John Parker Burrell

Master's Theses

Accurate fault location is a critical aspect of power system protection, ensuring grid reliability and minimizing downtime. Traditional traveling-wave-based fault location methods face limitations when applied to nonhomogeneous transmission lines due to the reliance on precise segment velocities and propagation time data. This thesis addresses these challenges by proposing a novel algorithm that leverages historical fault data to estimate segment velocities and refine these estimates as more faults occur. The algorithm was rigorously tested using the digital model of an 11-segment, 65.694 km real overhead transmission line and validated using both simulations and hardware tests using commercially available time-domain protective …

Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, Mohamad H. Saleh

Mineta Transportation Institute

Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes. Our goal was to find the optimized balance between the model capabilities in object detection and memory processing requirements. …

Photo-Enhanced Output In Memdiode Devices Based On Hybrid Materials Open Access, Jacob Lee, Prabir Patra, Judy Fan

Physics Faculty Research

The discovery of photo-enhanced outputs in the fabricated memdiodes based on metal halide-embedded polymeric hybrid composites has meaningful and practical implications. The two-terminal devices exhibit typical rectifying characteristics, similar to a standard pn junction diode, with unusual photo-enhanced charge transportation and hysteresis behaviors. The MDs consist of an active layer of blended organic–inorganic hybrid material [a mixture of CuCl2 and polyethylene glycol (PEG)] deposited on a layer of pure polymer (polymethyl methacrylate) and, in turn, on a rigid substrate (ITO glass or Si wafer). It is found that the photoinduced current increases hundreds of times in magnitude on the ITO …

Production Of Alinite-Chlormayenite Clinker And Its Hydration Behavior With Increasing Gypsum Content, Marco Simoni, Aniruddha Baral, Zhili Ren, Tristana Y. Duvallet, Robert B. Jewell, Christiane Rößler, Theodore Hanein

Earth and Environmental Sciences Faculty Publications

An alternative low-energy alinite-chlormayenite clinker was produced and its hydration with different gypsum content was studied. The clinker was produced at 1225 ◦C using reagent-grade materials in an electric kiln with alinite, larnite, and chlormayenite content of 48, 24, and 16 wt%, respectively. The hydration kinetics of the clinker with different gypsum additions (0,10, 20, and 40 wt%) did not have a distinct induction period, and the hydration was faster than Portland cement. Alinite was in general more reactive than chlormayenite. In the presence of a limited amount of gypsum (10 and 20 wt%), alinite consumed gypsum to form ettringite …

Iowa Waste Reduction Center Newsletter, March 2025, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Navigating Change Together
--- UNI Day at Capitol
--- Welcome Olivia
--- Free Assistance Available
--- MSEI Assistance
--- Resilient Iowa Communities
--- Industry News

2025 March - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All, March and April were very eventful weather months across the state. We're starting to work through April data but below are the highlights for March. March continued the pattern of extremes in weather that Tennessee has seen in 2025, with high winds and fires, record-setting rainfall, and severe storms impacting the state. Several small to moderate sized grass, brush, and forest fires popped up around the state driven by days with high winds and low relative humidity in early March. One of the largest fires was in Sevier County, where the Pittman Center/Webb Mountain fire burned over 1,000 …

Alfred Russel Wallace Notes 35. Natural Selection By Evolution., Charles H. Smith

Faculty/Staff Personal Papers

Alfred Russel Wallace (1823?1913) is remembered, with Charles Darwin, as the co-originator of the concept of evolution by natural selection. But Wallace’s framing of the idea increasingly became one in which natural selection itself was regarded as a law of nature, not a theory per se.

Collaborative Ai: Oer Materials For Exploring Ai As A Partner Rather Than A Tool, David Smith

Open Educational Resources

The Collaborative AI Open Educational Resource (OER) explores how artificial intelligence can act as a creative and analytical collaborator rather than a tool. Centered on the Balanced Blended Space (BBS) framework and the philosophy of the Center for Holistic Integration (CHI), the OER includes curriculum materials, theoretical models, and live research environments. It offers an interesting approach to blending physical, virtual, and conceptual spaces through shared human–AI agency and invites ongoing participation in interdisciplinary meta-projects.

Real-Time Prediction Of Dynamical Systems Using A Hybrid Analog Computer: Network Traffic Modeling, Majd Zuhair Tahat

Doctoral Dissertations

As the number of online users grows exponentially, the number and severity of cyber threats escalate, urgently requiring advancements in real-time network modeling and response. Swiftly predicting and analyzing network traffic is crucial for effective network monitoring and control, preventing cyber breaches, and maintaining healthy network functionality. This research presents a novel approach to real-time modeling based on analyzing evolving properties and patterns in a dynamical network system using a hybrid analog-digital computer. An analog computer was utilized as a co-processor to compute differential equations that model the Transmission Control Protocol (TCP) window size. A comparative analysis was conducted between …

A Human-In-The-Loop Framework For Scalable And Interpretable Event Triaging In Large-Scale Systems, Ibrahim Khaled Al-Agha

Doctoral Dissertations

This dissertation presents a comprehensive and scalable framework for real-time fault detection and event triage in industrial systems, addressing critical challenges such as class imbalance, ambiguous feature boundaries, and the prioritization of complex, high-dimensional event data. The proposed framework integrates advanced methodologies, including micro-batch processing, retrospective divergence-based event detection (DB-RED), association rule mining (ARM), clustering, and Dempster-Shafer Theory (DST) for conflict resolution. Together, these components enable the systematic stratification of events into actionable priority levels, ensuring robust and interpretable decision-making in real-time environments. DB-RED forms the cornerstone of the framework, leveraging KL-divergence and PE-divergence metrics to detect subtle and transient …

Maine Career Exploration: Final Evaluation Report, Julia Bergeron-Smith Mppm, Msw, Sarah Goan, Madison Burke, Becky Wurwarg, Amy Geren, Shannon Saxby

Publications

The Maine Career Exploration (MCE) Program was a two-year, $25 million pilot initiative launched in 2022 by Governor Janet Mills as part of the Maine Jobs and Recovery Plan. The program aimed to connect young people aged 16 to 24 with Maine’s economy through paid, age-appropriate career experiences that matched their interests, while also expanding career exploration opportunities in schools and communities and building long-term infrastructure to sustain these efforts. Managed by the Maine Department of Economic and Community Development, MCE distributed funding across three main streams: the Maine Children’s Cabinet Career Exploration Pilot Project, the Maine Department of Education’s …

Discrete Math For Computer Science - Chapter 3: Predicates And Quantifiers: Quantified Statements, Houman Kamran Habibkhani

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Discrete Math For Computer Science - Chapter 1: Proposition, Logical Operations, And Conditional Statements, Houman Kamran Habibkhani

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Discrete Math For Computer Science - Chapter 22: Counting By Complement: Permutations With Repetitions: Inclusion/Exclusion Principle, Houman Kamran Habibkhani

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