Digital Commons Network^™

Flood Inundation Mapping For The Tana River Delta In Kenya, Anne N. Mugatha

Tanzania Journal of Engineering and Technology (TJET)

This study aimed at mapping flood inundation areas in the Tana River Delta. The 30 m DEM and digitized streams and road networks data were collected through remote sensing techniques followed by ground truthing. The data used also included Tana River discharge data at Garsen gauging station. Probability distributions were fitted on the annual maximum discharges. The 4 parameter generalized Gamma probability distribution was the best-fitting distribution according to goodness-of-fit criteria and the Q-Q plots and was used to generate the flood quantiles for different return periods. The generated flood quantiles were; 286 m3/s, 369 m3/s, 400 m3/s, 405 m3/s, …

Production Of Potassium-Rich Biofertilizer From Composted Banana Peels And Watermelon Rinds, Neema O. Msuya

Tanzania Journal of Engineering and Technology (TJET)

This study investigated the production of biofertilizer from composted banana peels and watermelon rinds, focusing on the mineral content and its impact on plant growth. The process involved characterizing raw materials, producing biofertilizer, analyzing mineral concentrations (potassium, nitrogen and phosphorus), and evaluating its quality through Spiny Amaranth seed growth. A compost bin with three compartments was designed, testing three composting ratios of banana peels to watermelon rinds (2:1, 1:2 and 1:1). Composting was monitored on moisture content, pH, organic matter, and temperature for 37 days. The 1:1 ratio had the lowest temperature (33.45°C) and highest pH (7.08), while the 2:1 …

Factors Affecting Adoption Of Industry 4.0 Predictive Maintenance By Manufacturing Industries: Tanzania Food And Beverage Manufacturing Industries, Fred E. Peter

Tanzania Journal of Engineering and Technology (TJET)

Industry 4.0 has increasingly become a focal point of scholarly inquiry. Nonetheless, there remains a noticeable lack of comprehensive research on the diverse and systematic factors that influence the adoption of Industry 4.0 Predictive Maintenance (PdM 4.0) in manufacturing sectors within developing regions, particularly in East Africa. This study seeks to bridge this research gap by investigating the key determinants affecting the actual implementation of PdM 4.0 in Tanzania’s food and beverage manufacturing industries. To achieve this objective, a mixed-methods research design was adopted, combining both qualitative and quantitative approaches. Qualitative data were obtained through in-depth interviews with ten industry …

Dust Analyses In Ventilation Ducts, Karolina Vyhlidalova, Petr Vlček, Olga Rubinová, Jiří Bernard

Journal of Sustainable Construction Materials and Technologies

The paper describes the importance of monitoring the dust in the atmosphere of human life. It deals with the issue of dust in air ducts, approaching the methods that can be used to detect the amount of dust. For conditions for buildings in the Czech Republic there is created the methodology of quantitative and qualitative evaluation of dust sediment for the needs of HVAC and other building surfaces. The scale for visual evaluation was created and it has been elaborated the assessment of kind of particles contained in dust.

Empowering Mental Support Health Through Ai Chatbot, Anish Ilapaka

ATU Scholars Symposium

The growing prevalence of mental health concerns worldwide underscores the urgent need for accessible, scalable, and supportive solutions. Artificial Intelligence (AI) has emerged as a promising tool in this domain, capable of delivering immediate and empathetic interactions to complement traditional methods of mental health care. This project introduces a conversational AI system to assist individuals experiencing mental health challenges. The proposed system is built on a LLaMA model fine-tuned with a dataset of 10,000 mental health-related dialogues; the system leverages advanced natural language processing and machine learning techniques for meaningful engagement. The core functionality of this tool lies in its …

Drought Effects On Part 121 Operations In California, Brian Robert Barlotta, Steve Na, Vivek Sharma, Brooke E. Wheeler

Aeronautics Student Publications

This study examined whether Part 121 flight disruptions (delays, cancellations, diversions) differed between drought and non-drought periods at the five busiest airports in California from 2004 to 2024. There were no significant differences in disruptions between drought seasons for any of the variables.

Designing A Control System With Automatic Transition Between Flight Modes For A Vtol Airplane, Asher Cunningham

Honors College Theses

Vertical Take-off and Landing (VTOL) airplanes provide a great degree of flexibility in mission type, as they combine the landing ability of a helicopter with the range of an airplane. This paper describes the design, implementation, and testing of the control system for just such a vehicle. Due to its non-typical motor configuration, there is an unbalanced torque on the frame. Two control methods are suggested and tested to balance this torque, and a PID controller with a high I gain is selected. Furthermore, the distance of the pods from the centerline is calculated and set at 14 inches. A …

Enhanced And Interpretable Prediction Of Multiple Cancer Types Using A Stacking Ensemble Approach With Shap Analysis, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Cancer is a leading cause of death worldwide, and its early detection is crucial for improving patient outcomes. This study aimed to develop and evaluate ensemble learning models, specifically stacking, for the accurate prediction of lung, breast, and cervical cancers using lifestyle and clinical data.

Methods: 12 base learners were trained on datasets for lung, breast, and cervical cancer. Stacking ensemble models were then developed using these base learners. The models were evaluated for accuracy, precision, recall, F1-score, AUC-ROC, MCC, and kappa. An explainable AI technique, SHAP, was used to interpret model predictions.

Results: The stacking …

Netflix : D’Une Digitalisation Cinématographique Vers Une Déconstruction Du 7èMe Art, Karim El Mahjoubi

Dirassat

According to a study conducted by GroupM1, 76% of French people have gone to the cinema less since the 2018 health crisis. The first reason given is "the fear of being contaminated by Covid-19". This is how the streaming platform "Netflix" saw, here, a godsend to seize this market and innovate in cinematographic digitalization. It therefore decided to rent via a monthly subscription, through a Smartphone or Smart TV application, films and series to watch "without moderation" (unlike the old video clubs). The cinema then becomes "Smart or pocket" and accessible, at a low price, for any film buff because …

Implementing Maintenance 4.0 Methods In Ventilation Systems: A Case Study In Uaeu Laboratories, Ammar Yaser Abdullah

Thesis/ Dissertation Defenses

This study introduces an advanced Maintenance 4.0 framework aimed at systematically evaluating and mitigating air quality risks within laboratory environments, specifically applied to the context of the United Arab Emirates University (UAEU). Employing real-time monitoring through sophisticated IQ-Air sensors, this research continuously captures key indoor environmental parameters, such as particulate matter concentrations (PM₁, PM₂.₅, PM₁₀), carbon dioxide (CO₂) levels, ambient temperature, and humidity. State-of-the-art machine learning algorithms are developed and operationalized to enhance ventilation system efficiencies and proactively forecast maintenance requirements, thereby transitioning from reactive to predictive maintenance strategies.
Empirical results indicate that Maintenance 4.0 applications significantly enhance the capacity …

Integrating Environmental Analyses And Awareness To The Senior Chemical Plant Design Course Che 4233, Lucie I. Leblanc

Honors Theses

The EPA has implemented and increased environmental regulations and safeguards for carbon dioxide (CO2) and volatile organic compound (VOC) emissions for the past 70 years. These regulations have affected the technology and methodology used in industrial chemical production processes. As newly graduated engineers enter the work field, they will encounter current and future EPA regulations, and they will have to adjust their production units to meet these safeguards. This report loosely follows the structure of the Plant Design Course (CHE 4233) to show the process of designing a conventional cumene production plant. The conventional process is compared to a new …

Travel Behavior Study On Shared Micromobility Service, Yixiang Teng

Lyles School of Civil Engineering Graduate Student Reports

This study investigates the travel behavior on the shared micromobility service around Purdue University West Lafayette campus area. It aims to understand the shared micromobility user patterns and identify the barriers of adoption. The study was enlightened by the influence of pandemic on transportation choices and the shift on transportation habits, and the gap identified was the understanding of the college related population. The research method was a constructed survey distributed among Purdue University’s students, faculties and staffs. A total of 143 valid responses were collected, comprising 73 current users and 70 non-users. Results indicate that shared micromobility is primarily …

Conceptual Design Of A Personal Propulsion Unit For Rapidly Accessing Remote Trauma Patients, Kenneth Kubiak, Aidyn Cochran, Mallorie Colquitt, Ed Sheridan

Senior Design Project For Engineers

Patient mortality increases over 14% and the prognosis for a full-recovery decreases an additional 21% when definitive medical care is provided after the first hour of suffering traumatic injuries. Most trauma patients receive such care within 60 minutes of injury onset, referred to as the ‘golden hour’; however, trauma patients injured in wilderness areas may not receive this care for an hour or more due to difficulty accessing them across rugged, dense terrain. To address this issue, “The Jetsons!” team designed a 288 kg all-electric Personal Propulsion Unit (PPU) capable of transporting a single 111 kg medic-pilot with 23 kg …

Development Of 6d Electromagnetic Actuation For Micro/Nanorobots In High Viscosity Fluids For Drug Delivery, Mostafa Abdelaziz, Maki Habib

Mechanical Engineering

This research focuses on the development, design, implementation, and testing (with complete hardware and software integration) of a 6D Electromagnetic Actuation (EMA) system for the precise control and navigation of micro/nanorobots (MNRs) in high-viscosity fluids, addressing critical challenges in targeted drug delivery within complex biological environments, such as blood vessels. The primary objective is to overcome limitations in the actuation efficiency, trajectory stability, and accurate path-tracking of MNRs. The EMA system utilizes three controllable orthogonal pairs of Helmholtz coils to generate uniform magnetic fields, which magnetize and steer MNRs in 3D for orientation. Another three controllable orthogonal pairs of Helmholtz …

Quantum Machine And Deep Learning For Medical Image Classification: A Systematic Review Of Trends, Methodologies, And Future Directions, Eman A. Radhi, Mohammed Y. Kamil, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

Quantum Learning (QL) has emerged as a promising approach to medical image classification, leveraging the principles of quantum mechanics to improve the performance and efficiency of machine learning algorithms. This systematic review provides a comprehensive critical assessment of the current status of QL techniques developed for medical image classification, with a specific focus on trends, methodologies, and future directions in this rapidly evolving field. A thorough literature search was conducted across five major databases, resulting in a total of 28 relevant studies published between 2018 and 2024. The studies were analyzed and classified based on the type of quantum algorithm, …

A New Ridge-Type Estimator In The Zero-Inflated Bell Regression Model, Nawal Mahmood Hammood, Nadwa Khazaal Rashad, Zakariya Yahya Algamal

Iraqi Journal for Computer Science and Mathematics

Count data modeling requires usage of the Poisson regression model as a primary analytic method. Excess dispersion in variables makes the model unfit to use when the Poisson distribution mean value differs from its variance value. Data fits well with the results obtained by using the Bell regression model. Excess zeros occur frequently in the observed count data records. The Zero-Inflated Bell regression model is a substitute for the Bell regression model in this situation. The approach of maximum likelihood is mostly used to estimate the Zero-Inflated Bell regression model's parameters. When modeling the link between the response variable and …

Liberated Arabic Handwritten Text Recognition Using Convolutional Recurrent Neural Networks, Ahmad Abdulqadir Alrababah, Mohammed Khalid Aljahdali, Abdulrahim Abdulhamid Al Jahdali, Mohammed Saleh Alghanmi, Israa Ibraheem Al_Barazanchi

Iraqi Journal for Computer Science and Mathematics

Arabic script is exhibited in a cursive style, which is a departure from the norm in many common languages, and the shapes of letters are contingent on their positions within words. The form of the first letter is influenced by the subsequent letter, middle letters are shaped by both preceding and succeeding letters, and the shape of the final letter is determined by the preceding letter. Additionally, certain letters are found to have strikingly similar shapes, making Arabic text recognition a formidable challenge in computer vision. The challenge of detecting and recognizing Arabic handwritten text is addressed in this paper …

Margin In The Consulting Industry: A Consultant's Perspective, Bracken Snyder

ASEM Capstones

2025 ASEM 620 Capstone Project

Measures And Effects Of Eco-Geological Restoration In Well No.4 In The Muli Mining Area, Qinghai Province, China, Zhao Xin, Wang Tong, Wang Weichao, Li Congcong, Li Fei, Jiang Zhikun, Li Jin

Coal Geology & Exploration

Objective The Muli mining area, located in the hinterland of the Qilian Mountains, Qinghai Province, serves as the source of the Datong River—a major tributary of the Yellow River. This area falls within the alpine permafrost region, exhibiting a sensitive, fragile ecosystem. In the early 21st century, disordered coal mining in this area has caused ecological damage. This has notably posed four challenges in the ecological restoration of well No.4 in this area: (1) high, steep, and unstable slopes of spoil heaps; (2) a large volume of water accumulating in mining pits; (3) permafrost excavation and destruction, and (4) land …

Advances In Research On Lithium In Coal-Bearing Strata And Its Isotopes, Zhang Yun, Wei Yingchun, Cao Daiyong, Li Xin, Jin Liangliang, Dong Bo, Wang Xin

Coal Geology & Exploration

Significance Lithium serves as a significant strategic metal in emerging industries, and lithium isotopes have become crucial geochemical tracers due to their pronounced mass-dependent fractionation effects. Therefore, lithium minerals in coal-bearing strata have emerged as a priority in recent exploration of strategic metallic mineral resources. Investigating the isotopic composition and variation of lithium in coal-bearing strata helps reveal the sources, migration, and enrichment process of lithium while also providing a theoretical basis for lithium exploration and exploitation in coal-bearing strata. Advances This study offers a summary of advances in research on lithium in coal-bearing strata and its isotopes from three …

Providing A Solution For Active-Duty Servicewomen Facing Chronic Musculoskeletal Injuries Due To Improper Gear Fit, Celia Watson, Denver Tidwell, Hadi Obaji

Honors Theses

As senior biomedical engineering students at the University of Mississippi, we began our academic year brainstorming unmet clinical needs in healthcare intending to provide an innovative solution. After conducting personal inventories, determining a mission, and evaluating internal and external factors, we established acceptance criteria for our strategic focus and clarified our needs statement: develop a prophylactic device for chronic musculoskeletal injuries (MSKIs) in active-duty servicewomen (ADSW). The average female soldier is at a disadvantage compared to her male counterpart due to anthropometric and physiological differences between men and women in most aspects of physical performance (Epstein et al. 2673). These …

Assessing The Impact Of Internal Flow Dynamics On Detection Region Concentrations Of Low-Cost Optical Particle Counters, Livingstone Quarshie

Theses and Dissertations

Particulate matter (PM) poses significant risks to human health and the environment, making accurate measurement essential for exposure assessment and regulatory decisions. While traditional reference methods provide reliable data, they are often bulky, expensive, and difficult to maintain. Optical Particle Counters (OPCs) offer a cost-effective alternative, commonly used in clean rooms, residential spaces, and personal exposure monitoring. These devices rely on light scattering to measure PM concentrations. However, low cost OPCs face challenges related to calibration and measurement accuracy, requiring careful performance evaluation. This study used computational fluid dynamics (CFD) tools, CONVERGE Studio and ANSYS Fluent, to simulate a simplified …

Advanced Manufacturing Of Multifunctional Shape Memory Polymer Composites And Self-Healing Systems, John B. Konlan

LSU Doctoral Dissertations

The need for multifunctional light weight structures for engineering applications is on the rise. Multifunctional composites are desired because of their ability to combine multiple functionalities into one structure. The advantages of a high strength-to-weight ratio of multifunctional composites make them desirable and suitable for use in energy-efficient applications. Shape-memory polymers (SMPs) have attracted interest over the past several decades because of their multifunctional nature. They have found use in many applications such as aerospace, satellites, automobiles, textiles, and biomedical devices, where lightweight and multifunctionality are key. The self-healing nature of most SMPs makes them suitable for use in lightweight …

Examination Of A Bench-Scale Model For Post-Wildfire Flood And Water Quality Mitigation Solutions, Cheyenne Ethridge

Honors Theses

The objective of this study is to determine a potential low-cost, sustainable, and rapidly deployable solution for post-wildfire flood and water quality mitigation in communities reliant on surface water for drinking water. Coalinga, Fresno County, California was selected as a study area for a full-scale solution due to its high risk of wildfires, high social vulnerability, and relatively low community resilience. A bench-scale demonstration of the system directs water into a gravel infiltration zone surrounded by a weir perimeter and followed by a clarifier. Because of their abundance in the area, almond shells were explored as a coagulant additive to …

Investigating The Role Of Blood Models In Predicting Rupture Status Of Intracranial Aneurysms, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Nan Mu, Jingfeng Jiang

Michigan Tech Publications

Purpose. Selecting patients with high-risk intracranial aneurysms (IAs) is of clinical importance. Recent work in machine learning-based (ML) predictive modeling has demonstrated that lesion-specific hemodynamics within IAs can be combined with other information to provide critical insights for assessing rupture risk. However, how the adoption of blood rheology models (i.e., Newtonian and Non-Newtonian blood models) may influence ML-based predictive modeling of IA rupture risk has not been investigated.Methods and Materials.In this study, we conducted transient CFD simulations using Newtonian and non-Newtonian rheology (Carreau-Yasuda [CY]) models on a large cohort of 'patient-specific' IA geometries (>100) under pulsatile flow conditions to …

Analysis Of Differentially Expressed Genes (Deg) And Upstream Regulator Proteins Indicates That Inhibition Of Transforming Growth Factor Beta 1 (Tgfb1) Is A Potential Target For Acne Inversa, Weri Veranita, Siva Fauziah, Siti Nurbaya

Indonesian Journal of Medical Chemistry and Bioinformatics

Acne inversa (AI) is a chronic inflammatory skin disease characterized by painful nodules, abscesses, and scarring, primarily in intertriginous areas. This study aims to identify potential therapeutic targets for managing acne inversa based on the analysis of differentially expressed genes (DEG). The expression targets of these genes were then validated for their potential as biomarkers, and upstream regulator proteins (URPs) were identified from the resulting DEG. DEG analysis on the GEO dataset GSE122592 (acne inversa vs. healthy donor skin) revealed five DEG that can serve as biomarkers for acne inversa, with a sensitivity and specificity of (100%). These DEG—IL10, GZMB, …

Design And Evaluation Of Geopolymer Composite As A Potential Sorbent Of Heavy Metals From Water, Ebtesam Mohammed Alghafri

Thesis/ Dissertation Defenses

Reducing the levels of heavy metals in water is crucial, given their severe environmental and health impacts. Various methods exist for heavy metals removal. Yet, they mostly come with multiple drawbacks, such as costly treatments and limited efficiency. Previous studies have found geopolymer to be a promising sorbent because it is synthesized using by-product materials, making it an eco-friendly and economically sustainable alternative. Limited studies explored the sorption potential of fly ash-slag blended geopolymers; none examined the effect of mix design factors synergically on sorption, mechanical properties, and durability, and few considered solution characteristics and operating conditions simultaneously. Therefore, this …

Uta Datathon 2025 Challenges (Archive), Rubab Shahzad, Srinivasa Sai Abhijit Challapalli, Ghanbarian Behzad, Mei Yang, Clivin Geju, Zecil Yogeshkumar Jain, Jay Mahavirkumar Shah, Sai Nikhitha Chandana

2025 Datathon Challenges-Archive

Timed and Model Challenges from the UTA Datathon 2025

Evervital Patch: The Design And Development Of A Continuous Cardiac Monitoring Device For Post-Operative, In-Hospital Patients, Abigail Moeller, Jonathan Seid

Honors Theses

In the United States, due to the increasing prevalence of cardiovascular disease, over 900,000 cardiac surgeries are performed annually, with projections exceeding 1.3 million by 2029. Many post-surgical patients require continuous in-hospital cardiac monitoring, which is typically conducted using electrocardiograms (EKGs). However, traditional EKG systems such as bedside cardiac monitors and cardiac telemetry monitors rely on wired leads that can easily tangle, degrade signal quality, and require frequent readjustments or replacements due to wire breakage, and for the patient, this can cause discomfort from prolonged use. To overcome these challenges, our company, CardioSync, aims to develop a wireless cardiac monitoring …

Expanding The Horizons Of Nonagonal Neutrosophic Numbers As A Versatile Framework For Decision-Making And Scientific Applications In Covid-19, Muhammad Naveed Jafar, Kainat Muniba, Hamiden Abd El-Wahed Khalifa, Fahd Jarad

Neutrosophic Systems with Applications

In this article, the concept of nonagonal neutrosophic numbers has been introducing in the disjunctive frame of reference. We also proposed the dependency and independency of membership function in regards to nonagonal neutrosophic number. We also introduce a new score function and its computation also formulated in a distinct rational viewpoint. We developed the concept of weighted arithmetic averaging operator and weighted geometric averaging operator for nonagonal neutrosophic numbers. It will open new doors for MCDM and develop the concept with new approaches. Additionally, we analyze the effect of COVID-19 for different ages.