Digital Commons Network^™

Development Of An Ann-Based Predictive Model For The Efficient Treatment Of Industrial Wastewater, Alisher Khudoyberdi Ugli Rakhimov, Hasan Siddiq Ugli Murodov, Farrukh Bakhtiyorovich Igitov, Shuhrat Ahmadjonovich Mutalov, Jaloliddin Abdurazzakovich Eshbobaev

Chemical Technology, Control and Management

The effective removal of free chlorine ions from industrial wastewater is critical to ensure process safety, minimize equipment corrosion, and protect aquatic environments. In this study, a laboratory-scale activated carbon filtration system was developed and tested to treat chlorine-contaminated water collected from sludge collectors at industrial facilities. A total of 200 experimental trials were conducted under varied operational conditions, including changes in flow rate, initial chlorine concentration, pressure, pH, temperature, and activated carbon dosage. The resulting dataset was used to train a predictive model based on a feedforward backpropagation artificial neural network (ANN) implemented in MATLAB. The ANN model demonstrated …

Magnetic Nanoparticles: Synthesis And Applications In Life Sciences, Kishore Chand, Erick Salvador Vasquez

Chemical and Materials Engineering Faculty Publications

Magnetic nanoparticles (MNPs) are multifunctional materials with superparamagnetic properties and tunable surface chemistries, making them valuable across diverse fields, such as biomedicine, environmental remediation, and agriculture. This review examines recent advancements in MNP synthesis, encompassing chemical, physical, and environmentally friendly methods while highlighting improvements in size, morphology, and composition control that enhance application-specific performance and environmental sustainability. The review discusses various architectures, including single-core, core–shell, hybrid composites, and stimuli–responsive systems, with an emphasis on their stability, scalability, and functionalization potential. In biomedical applications, MNPs show promise in targeted drug delivery, magnetic hyperthermia, and magnetic resonance imaging contrast enhancement, where biocompatibility, …

Development Of Biodegradable Mg-1zn-0.5sc Alloy & Surface Treatment Through Laser Shock Peening And Evaluation Of Microstructure & Property Correlation For Orthopedic Implants, Parameshwari R

Theses and Dissertations

Magnesium (Mg) and its alloys are of much interest as promising third-generation bio-materials for bone implant applications; however, challenges remain for the alloy's mechanical integrity and bio-corrosion behaviour. Therefore, appropriate alloying elements and surface-modification techniques are required to overcome these limitations. Zinc (Zn) and Scandium (Sc) elements were found to have good biocompatibility and biodegradability; hence, they were selected as suitable alloying elements for magnesium.

This research work aims to enhance the mechanical integrity and bio-corrosion resistance behaviour of a novel Mg-1wt% Zn-0.5wt% Sc cast alloy by laser shock peening surface treatment with multiple passes (LSP-2 Pass and LSP-3 Pass). …

Ambient Co2 Capture And Valorization Enabled By Tandem Electrolysis Using Solid-State Electrolyte Reactor, Yan-Bo Hua, Bao-Xin Ni, Kun Jiang

Journal of Electrochemistry

Electrocatalytic carbon dioxide reduction is a promising technology for addressing global energy and environmental crises. However, its practical application faces two critical challenges: the complex and energy-intensive process of separating mixed reduction products and the economic viability of the carbon sources (reactants) used. To tackle these challenges simultaneously, solid-state electrolyte (SSE) reactors are emerging as a promising solution. In this review, we focus on the feasibility of applying SSE for tandem electrochemical CO₂ capture and conversion. The configurations and fundamental principles of SSE reactors are first discussed, followed by an introduction to its applications in these two specific areas, …

Keynote: The World's First Autonomous Wheel, Transforms Any Object Into A Mobile Robot, Rossano Luhulima

International Material Handling Research Colloquium

No abstract provided.

Logistical Automation In Hospitals In The Dach Region And Approaches To Increasing Process Efficiency Through Automation, Emily C. Spicker, Sabrina Forster, Sonja Stabenow, Sidra Rashid, Johannes Fottner, Dirk Wilhelm

International Material Handling Research Colloquium

No abstract provided.

Reusing Materials In The Aerospace Industry, Lama Alanazi, Burtegeljin Gombosuren, Byhalia Jewett

Beyond: Undergraduate Research Journal

This research explores the material recycling methods used by the aerospace industry, particularly in comparison to the reusability of aerospace materials and with the objective to find uses for recycled materials from aircraft. Through an analysis of various other material mitigation methods, it is apparent that the physical degradation of materials after they go through recycling processes and the cost of recycling are the most prominent issues holding the aerospace industry back from being able to recycle aircraft up to 100%. From a comparison of physical characteristics of materials after reprocessing, several materials were found to meet industry standards, while …

Investigation The Effect Of Integrating Solar Desalination Systems With Firefighting Networks For Coastal Cities, Ramy Elramy, Mohamed Mahgoub, Mohamed Abdelgaied, Ayman Refat Abd Elbar

Journal of Engineering Research

This study investigates integrating solar desalination systems with seawater-based firefighting networks as a sustainable solution for coastal cities facing freshwater scarcity. This study evaluates technical feasibility, economic impact, and operational performance by comparing conventional seawater firefighting infrastructure with systems utilizing desalinated water produced via solar energy. The methodology includes a detailed component and cost analysis of both systems, supported by experimental pump performance tests using varying salt concentrations and seawater. Results indicate that desalinated water systems offer significant economic savings—approximately 48.82%—due to reduced corrosion, lower maintenance demands, and improved pump efficiency. Experimental findings also show that increased salinity accelerates cavitation …

Multi-Modal Covid-19 Detection Using Cough Sounds And Medical Information With Attention-Enhanced Deep Learning, Mohamed Talaat Saidahmed, Reda Elbasiony, Marwa Reda Bastwesy, Asmaa Aly Hagar

Journal of Engineering Research

The COVID-19 pandemic has highlighted the need for fast, non-invasive, and cost-effective diagnostic tools. Cough sounds, as a prominent symptom of respiratory diseases, present a promising modality for automated COVID-19 detection. In this study, we propose a novel multi-modal deep learning framework for COVID-19 detection that leverages cough sounds and patient-specific medical information. Our approach extracts two types of acoustic features—Mel-Frequency Cepstral Coefficients (MFCCs) and Mel spectrograms—and integrates them with clinical metadata to improve diagnostic ac-curacy. The MFCC branch employs 1D convolutional layers followed by Efficient Channel Attention mechanism. The Mel spectrogram branch utilizes ResNet-50 combined with ECA to capture …

A Hybrid Binary Grey Wolf Optimizer Based On De Algorithm For Feature Selection, Amany Saad Abdelrazek, Basma Ghareeb Elkilany, M. Arafa

Journal of Engineering Research

Feature selection is one kind of optimization problem that has bio-objective functions, where it is necessary to get the minimum number of features that achieve high classification accuracy. According to literature studies, several kinds of meta-heuristic algorithms have been utilized to solve feature selection problems. One of these meta-heuristic algorithms is the Grey Wolf Optimization (GWO) algorithm and its modified variants, including the binary versions. They have yielded competitive results compared to other algorithms. Despite the simplicity and effectiveness of GWO and its modified versions, they face challenges related to the exploitation ability of the local search. To avoid premature …

Experimental Investigation On The Effect Of Using Gasoline With Commercial Additives On Spark Ignition Engines Performance And Emissions Characteristic, Medhat Elkelawy Prof. Dr, Eng., E. A. El Shenawy Prof. Dr., Hagar Alm-Eldin Bastawissi, Emad Mostafa Eng.

Journal of Engineering Research

Gasoline is the primary source of energy in combustion engines, despite some drawbacks, such as knocking inside the engine, incomplete combustion, and the production of high emissions. The main trend has been toward the use of chemical additives as improvers, including oxidizing additives and aromatic hydrocarbon compounds. Both additives have an effect on the combustion process. Oxidizing additives improve the combustion process inside the chamber by adding additional oxygen to the fuel, which helps accelerate flame propagation, such as ethanol and oleo-octane plus. On the other hand, aromatic additives are used to increase the octane number, which in turn enhances …

Evaluation Of Machine And Deep Learning Models For Predicting Water Distillate Rate, Ghada Hamisa

Journal of Engineering Research

Freshwater scarcity has become a critical global challenge due to rapid population growth and environmental pollution caused by industrial and urban expansion. Solar stills offer a sustainable solution by desalinating impure water using solar energy, making them valuable for domestic, industrial, and academic applications. However, traditional methods for optimizing solar still performance face significant limitations, including time-consuming experimental data collection, computational inaccuracies, and high development costs. To address these challenges, this study leverages machine learning (ML) and deep learning (DL) techniques to predict the distilled water production rate of solar stills before physical construction or modification. A heat pump solar …

Evaluation Of Coal Properties Used In A Cement Plant, Geun-Seong Lee, Farrukh B. Erkinov, Mastura Kh. Aripova

CHEMISTRY AND CHEMICAL ENGINEERING

Coal is not only a heat source for clinker burning but also the coal ash after combustion plays a large role in the quality of clinker mixed with hot meals in the kiln. Since the properties of coal vary depending on the coalification and environment in which it was sedimented, the quality of coal supplying to cement plant can change greatly depending on the coal seam even if it is from the same coal mine. Therefore, the coal used in a cement plant should have its properties measured accurately through representative sampling whenever it is supplied to the plant, and …

Corrosion Mitigation And Monitoring Of Bridge Tendons And Failure Forecasting Of Wastewater Force Mains, Stanley Chike Agbakansi

USF Tampa Graduate Theses and Dissertations

Corrosion remains a significant threat to civil infrastructure, resulting in costly repairsand potential structural failures. This dissertation addresses three critical aspects of corrosion: mitigation and monitoring of post-tensioned bridge tendons, and failure forecasting of wastewater force mains due to internal corrosion.

First, the research investigates the effectiveness of corrosion inhibitors (CIs) applied via pressure injection (impregnation) in post-tensioned tendons. The protective mechanisms and long-term performance of various inhibitors were evaluated to identify the most effective formulations. Among the tested inhibitors, MCI-2020 — a water-based, migratory, mixed-type corrosion inhibitor — demonstrated the most promising results, showing excellent corrosion protection while preserving …

Enhancing Social Sustainability In Parcel Hubs Using Discrete Event Simulation And Multi-Objective Optimization, Harald Steinkellner, Domenik Kaever, Christoph Rockenschaub

International Material Handling Research Colloquium

No abstract provided.

Assess Picker Postural Risk Using Real-Time Posture Estimation Technology (Openpose) For Robotic Mobile Fulfillment Systems, Ching-Jung Ting, Tzu-Heng Kao, Kuan-Ting Liu

International Material Handling Research Colloquium

No abstract provided.

Circular Thinking In A Technological Age: Designing For A Regenerative Future, Mohammed Ali Berawi, Perdana Miraj, Mustika Sari

CSID Journal of Infrastructure Development

Architecture, engineering, and construction sector is experiencing challenges related to environment and economic aspects. It consumes vast amounts of resources and energy and contributes heavily to global carbon emissions. Academics and industry leaders are trying to explore various strategies to combat climate change by shifting toward circularity. It is a systems-based approach that prioritizes regenerative design, responsible consumption, and closed-loop resource use. At the heart of this shift lies the interplay between circularity, technology, and the environment that can reshape how we live, produce, and consume. But this transformation is not simply about adopting greener practices; it’s about rethinking the …

The City As The Classroom: The Case Of “Start ‘Em Young Advocacy” At Silliman University, Philippines, Novee Elarmo Maestrecampo Jr., Giovanni Tuballa Macahig

CSID Journal of Infrastructure Development

This case study highlights the value of engaging with communities as real-world environments for practical and reflective learning. It suggests that students can develop insights and acquire knowledge through interactions with diverse groups and locations, even within urban settings. The paper presents the experience of implementing the “Start ‘em Young Advocacy,” a student-led, environment-focused, and project-based initiative within the Civic Welfare Training Service (CWTS) under the National Service Training Program (NSTP) at Silliman University, Philippines. In collaboration with the City Social Welfare and Development Office (CSWDO), CWTS students worked with thirty daycare centers. Using Kolb’s Experiential Learning Theory as a …

Acceptability Of The Proposed Congestion Charging System In The Central Business District Of Baguio City, Philippines, Ericka Renee A. Lanigt, Sandra S. Samantela, Ma. Catriona E. Devanadera, Casper Boongaling Agaton

CSID Journal of Infrastructure Development

The City Government of Baguio is proposing a congestion charging system in the Central Business District (CBD) to address the ongoing issue of traffic congestion in the city. Although it is an effective tool, low public acceptability hinders its implementation. This study aims to assess Baguio City residents' acceptability regarding the CBD's congestion charging system. Specifically, it seeks to (1) identify the factors that influence residents’ acceptability of the proposed system, (2) evaluate whether there is a significant difference in acceptability across different road users (private vehicles, public transportation, cycling, and walking), and (3) provide recommendations for transportation policy planning …

Efficient Methods And Algorithms For Analyzing Stochastic Systems, Mohammad Ahmadi

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the challenges of stochastic analysis of safety-critical systems with biological components, where unexpected behavior can lead to catastrophic events. Two fundamental challenges hinder the analysis of such systems: their typically large or infinite state spaces, and the extreme rarity of error states of interest. While Monte Carlo simulation can analyze biochemical systems without storing the state space, accurately estimating rare event probabilities becomes computationally prohibitive. Conversely, probabilistic model checking excels at analyzing extremely low probability events but becomes impractical for systems with large or infinite state spaces due to memory constraints.This work proposes two main contributions to …

The Borehol Wall Image Digital Description Method Of The Overlying Rock Structural Planes Evdution Process In Deep Mining, Wang Jinchao, Zou Junpeng, Li Shenghai, Wang Chao, Li Xiaobin

Coal Geology & Exploration

Objective In China, as mineral resource mining is increasingly expanding towards the deep parts of the Earth, the safe and efficient exploitation of deep resources has become a major strategic and technological challenge at the national level to be addressed urgently. Understanding the movement patterns of mining-affected strata in deep environments will assist in improving the intelligent prevention and control of mine disasters, thereby ensuring the safe and efficient exploitation of deep resources. Methods Targeting the complex and diverse forms of the overburden’s structural planes in deep mining, as well as a lack of characterization methods tailored to the evolutionary …

Ai-Driven Emi Mitigation For Smart Healthcare: Generative Adversarial Networks And Edge Computing For Reliable Medical Systems, Mona Esmaeili

Electrical and Computer Engineering ETDs

Electromagnetic interference (EMI) from radio frequency (RF) sources poses a major challenge to digital systems, especially in high-electromagnetic environments. Tradi- tional electromagnetic compatibility (EMC) analysis often focuses on continuous wave (CW) interference and overlooks the effects of waveform modulation on EMI coupling. This thesis explores how modulated waveforms influence EMI coupling and introduces a Generative Adversarial Network (GAN)-based classification framework to distinguish between harmful and non-harmful EMI signals. The study extends conventional EMC analysis using machine learning (ML), showing that modulated EMI waveforms can in- crease coupling by up to 27% compared to CW signals. This highlights the need for …

Diffusion Mechanisms Of Coal-Measure Helium And Their Implications For Helium Accumulation: A Case Study Of The Taiyuan Formation, Northern Qinshui Basin, China, Ma Yong, Xin Zhiyuan, Chen Jianfa, Li Yuhong, Zhang Xiutao, Jiang Haojie, Chen Zeya

Coal Geology & Exploration

Objective The global helium-rich gas reservoirs are dominated by conventional natural gas reservoirs. In recent years, helium-bearing natural gas has been discovered in the Carboniferous-Permian coal measures in the Ordos Basin and surrounding regions, revealing the resource potential of coal-measure helium. However, there is almost a total lack of studies on mechanisms underlying the diffusion and migration of coal-measure helium. This severely restricts further research on the accumulation patterns of coal-measure helium.Methods This study investigated a coal seam in the Taiyuan Formation in the northern Qinshui Basin and mudstones in the coal seam roof. Using physical diffusion experiments on …

The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage

USF Tampa Graduate Theses and Dissertations

Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).

The proposed RANS-based approach is first …

A Review Of Plant–Microbe Interactions In The Rhizosphere And The Role Of Root Exudates In Microbiome Engineering, Anagha Wankhade, Emma Wilkinson, David W. Britt, Amita Kaundal

Biological Engineering Student Research

Microbial interactions within the rhizosphere are fundamental to plant health, influencing nutrient availability, stress tolerance, and pathogen resistance. Beneficial microbes, such as plant growth-promoting microbes (PGPMs), including bacteria and mycorrhizal fungi, enhance plant resilience through mechanisms like nutrient solubilization, phytohormone production, and pathogen suppression via antimicrobial compounds and siderophores. Root exudates, composed of sugars, organic acids, and secondary metabolites, act as chemoattractants that shape the rhizosphere microbiome by recruiting beneficial microbes. Microbial metabolites can, in turn, modulate plant physiology and exudate profiles, thereby reinforcing mutualistic interactions. Stress conditions alter exudate composition, enabling plants to attract specific microbes that aid in …

Systematic Review: Recent Developments In Magnetic-Nanoparticle-Based Dna Extraction, Stanley Evander Emeltan Tjoa, Mudasir Mudasir, Edi Suharyadi, Budi Setiadi Daryono

Makara Journal of Science

Deoxyribonucleic acid (DNA) is a research object for various molecular fields of study, and DNA extraction is a basic procedure in molecular biology laboratories. DNA extraction methods are evolving, from several steps using organic solvents to recent technology using magnetic nanoparticles as adsorbents for the purification step. The use of magnetic nanoparticles for DNA extraction is magnetizing because it is simple without heavy machinery, such as centrifugation and organic solvents. The application of this method is extensive and diverse. This systematic review summarizes current development trends for some aspects of this DNA extraction system from the magnetic nanoparticle synthesis method, …

Porous Calcium Carbonate-Poly-2-Acrylamido-2-Methylpropanesulfonic Acid Microspheres Embedded With Silver-Based Nanoparticles As Potential Antibacterial Carriers For Bone Infections, Novi Dwi Widya Rini, Adinda Asmoro, Systi Adi Rachmawati, Husaini Ardy, Akfiny Hasdi Aimon, Akihiro Kishimura, Yoshiki Katayama, Arie Wibowo

Makara Journal of Science

Implant-associated infections (IAIs) are a significant complication following orthopedic surgeries and are mainly caused by Staphylococcus aureus. In this study, microspheres based on hybrid calcium carbonate–poly-2-acrylamido-2-methylpropane sulfonic acid (CaCO₃-PAMPS) embedded with silver-based nanoparticles (AgNPs) were developed as potential antibacterial drug carriers for IAIs. AgNPs were prepared via a green synthesis approach, which employed Indonesian wild honey as a reducing and capping agent. PAMPS concentrations (0.025%, 0.050%, and 0.075% w/v) and silver ion (Ag⁺) concentrations in solution (0%, 2.5%, and 4% w/v) were varied. Scanning electron microscopy images showed that samples with 0.050% w/v PAMPS and …

The Digital Battlefield: Safeguarding Military Drones Against Cyberattacks, Jason Ashong, Arun Venkitanarayanan, Benjamin Yankson

Military Cyber Affairs

The Internet of Battlefield Things (IoBT) is an advanced network of interconnected devices that significantly enhance military operations through real-time data exchange and situational awareness. While IoBT offers tactical advantages like improved surveillance, reconnaissance, and operational effectiveness, it also introduces substantial cybersecurity risks. Adversaries can exploit vulnerabilities within these networks, potentially compromising mission integrity and national security. This research examines the cybersecurity measures of commercial drone controllers and their correlation with military devices. It aims to enhance future vulnerability assessments with advanced tools and approaches to better secure critical military operations. The study highlights the need for robust security architectures …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Understanding Russia’S Cyber Policies, Strategies, And Doctrines, Bryan Hancock, Hanh Nguyen, Olga Karpoyan, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

This study analyzes the strengths and weaknesses of Russia’s cyber policies, strategies, and doctrines through a systematic set of attributes, leading to key insights: (i) Russia has proactively adapted its cyber policies, strategies, and doctrines to its evolving environment; (ii) Russia actively conducts cognitive warfare, but remains equally vulnerable to it; and (iii) Russia’s cyber posture faces significant challenges, including a limited technological base, shortage of skilled personnel, and restrictive approach to information control, all of which undermine the effectiveness of its strategies. These insights offer valuable implications for US Cyber Command and the Department of Defense.