Digital Commons Network^™

Utilization Of Satellite Images-Based Indices For Assessment Of Al-Hammar Marsh Restoration Plan, Bayda Dhaidan, Imzahim Alwan, Mahmoud Al-Khafaji

Engineering and Technology Journal

Wetland landscape characterization is an important component of determining the degree to which wetlands improve environmental conditions. The present study aims to create a model used to automated extraction of the land cover of the western part of the Al-Hammar Marsh south of Iraq, and then monitor the change in land cover overtime. A model builder in ArcGIS created based on a series of spectral-based indices included the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and the Normalized Difference Water Index (NDWI), the OLI satellite images from 2013 to 2020, ENVI 5.3 and ArcGIS 10.4 were …

Chitosan Hydrogel For Removing Of Heavy Metal Ions From Water: A Review, Maysaa Ali, Shemaa Soud, Anaheed Hameed

Engineering and Technology Journal

Industrial and agricultural discharges have been shown as important sources for a wide range of contaminants like heavy metals. This study focused on the assessment of the toxic effect of heavy metals and illustrates some methods of eliminating or avoiding these contaminants. In certain methods, heavy metals (Cu, Zn, Cr, Ni, Pb, Hg, and Cd) are recovered, and range of absorbents are tested. A number of studies have reported the complex interaction of polymers with metal ions with the polymers for eliminating heavy metals (e.g. cellulose, chitosan, and chitin. Metal ions are absorbed by these polymers by the amine and …

Fpga Implementation Of Modified Reconfigurable Adaptive Gain Scheduling Controller, Ali Wheed, Abbas Issa, Mohammed Y.

Engineering and Technology Journal

This article aims to put forward a modified type of adaptive gain scheduling that will be able to deal with the immeasurable and unpredictable variations of system variables by adapting its value at each time instance to follow any change in the input and overcome any disturbance applied to the system without the need to predetermine gains values. In addition, the inverse neural controller will precede the gain scheduling to eliminate the need for complex system linear zing and parameter estimation. Therefore, the problems of needing complex mathematics for system linearization and gains calculations have been solved. The performance of …

Real-Time Hand Gesture Extraction Using Python Programming Language Facilities, Azher Fahad, Hassan Hassan, Salma Abdullah

Engineering and Technology Journal

Hand gesture recognition is one of communication in which used bodily behavior to transmit several messages. This paper aims to detect hand gestures with the mobile device camera and create a customize dataset that used in deep learning model training to recognize hand gestures. The real-time approach was used for all these objectives: the first step is hand area detection; the second step is hand area storing in a dataset form to use in the future for model training. A framework for human contact was put in place by studying pictures recorded by the camera. It was converted the RGB …

Modeling And Control Of Wheeled Mobile Robot With Four Mecanum Wheels, Sameh Hasana, Hasan Alwan

Engineering and Technology Journal

This work presents a driving control for the trajectory tracking of four mecanum wheeled mobile robot (FMWMR). The control consists of Backstepping-Type 1 Fuzzy Logic-Particle swarm optimization i.e.,(BSC-T1FLC-PSO). The kinematic and dynamic models have been derived. Backstepping controller (BSC) is used for finding controlled torques that generated from robot motors while Type-1 fuzzy logic control (T1FLC) as well as particle swarm optimization (PSO) used for finding the appropriate values of gain parameters of BSC. Square trajectory has been selected to test the performance of the control system of FMWMR. MATLAB/ Simulink is used to simulate the results. It has been …

Chemical Precipitation Method For Sulphate Removal From Treated Wastewater Of Al-Doura Refinery, Aumar Alnakeeb, Rana Mohammed Rasheed

Engineering and Technology Journal

Wastewater treatment by Wastewater Treatment Plant, named (INGECO) in Doura refinery suffers from the elevated level of sulphate ion concentrations compared to the recommended EPA [14] specified (250 mg/L). The annual rate, maximum and peak sulphate concentrations that found to be 360; 425 and 550 mg/L respectively. In this study samples prepared from industrial wastewater and the average, maximum and peak sulphate concentrations to be used in chemical precipitation process by using BaCl2 or Al(OH)3. Results obtained from BaCl2 treatment refer to the optimum (dosage, mixing time and mixing speed) to be used in sulphate removal for reuse purpose were …

Intelligent Feature Selection Methods: A Survey, Noor Jameel, Hasanen S. Abdullah

Engineering and Technology Journal

Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution. Feature selection used an extract the relevance of the data and discarding the irrelevance of the data with increment fast to select it and to reduce the dimensional of dataset. In the past, it used traditional methods, but these methods are slow of fast and accuracy. In modern times, however, it uses the intelligent methods, Genetic algorithm and swarm optimization methods Ant colony, Bees colony, Cuckoo search, Particle optimization, fish algorithm, cat algorithm, Genetic algorithm ...etc. …

Effect Of Pulse Electric Field On Water Characteristics As A Disinfection Function In Filtration Unit, Ghassan Abukhanafer, Alaa H. Al-Fatlawi, Hassan H. Joni

Engineering and Technology Journal

This paper studied the impact of the addition of pulse electric-filed low voltage (PEF-LV) in the filtration process by designing, constructing, and operating a pilot-scale. The Disinfectant process (DP) demonstrated several benefits in terms of efficiency and ease of application, without the use of any chemical additive. This system contains two pairs of silver mesh electrodes inside the filtration column test with a low pulse voltage for killing microorganisms. The parametric effects of DP performance, such as alternating current pulse frequency and the voltage applied were investigated. The effect of PEF-LV on the biological, physical, and chemical characteristic of water …

A Review On Microbial Fuel Cells, Baidaa A. Kitafa, Afaf J. Obaid Al-Saned

Engineering and Technology Journal

The Microbial Fuel Cell (MFC) is a bioreactor with which the chemical energy in chemical bonds of organic compounds are converted to electricity under anaerobic conditions through catalytic reactions of micro-organisms. It has been familiar for a long time that electricity can be generated directly through using bacteria to break organic matter. A microbial fuel cell can also serve in different wastewater treatment to destroy organic matter. The development of MFC technology requires a greater understanding of the microbial processes for MFCs, and their components, limitations, factors and design this system, to be simpler and large scale system developed; so …

Genpix: A Diverse Dataset For Fake Image Detection, Guessoum Dalila, Benblidia Nadjia, Boumahdi Fatima, Remmide Mohamed Abdelkarim, Nouri Tarek-Amine, Bataouche Azeddine-Lotfi

Iraqi Journal for Computer Science and Mathematics

The rapid advancement of sophisticated generative models has intensified the need for robust fake image detection systems. However, many existing benchmark datasets suffer from limited diversity in content types and generation techniques, constraining the generalization ability of detection models. To address these limitations, we introduce GenPix (Generalized Pixels), a comprehensive dataset encompassing over 80,000 images spanning diverse categories, including faces, objects, and scenes, generated by multiple state-of-the-art models such as Generative Adversarial Networks (GANs) and diffusion-based architectures. The dataset includes samples from different generation methods to ensure broad coverage of fake image characteristics.

GenPix provides a realistic evaluation environment that …

Mapping And Modeling Threat-Evoked Brain States After Early Life Adversity, Taylor W. Uselman

Biomedical Sciences ETDs

Early life adversity (ELA) increases lifelong neuropsychiatric vulnerability. Yet how ELA reorganizes brain-wide activity and circuit coordination across later experience remains unclear. This dissertation tests the hypothesis that ELA alters adult brain-wide activity and responses to threat through disrupted coordination among neural systems that regulate emotional experience, including prefrontal-limbic and monoaminergic systems. Longitudinal manganese-enhanced MRI of adult mice exposed to standard or fragmented early care, combined with computational processing and statistical modeling, quantified brain states before, during, and long after innate predator threat. These studies established that acute threat evokes large-scale, distributed brain activity that evolves over time. ELA potentiates …

Assessment Of Anaerobic Co-Digestion Of High Strength Organic Feedstocks Diverted From Landfills, Sumaiya Sharmin

Electronic Theses and Dissertations

The increasing generation of high-strength organic wastes such as food waste and fats, oils, and grease (FOG) presents challenges for landfill capacity and waste management. Anaerobic co-digestion offers a sustainable alternative by converting these wastes into renewable energy and nutrient-rich digestate. This study evaluated the co-digestion performance of single fruit waste residuals and mixed food waste with wastewater sludge to identify substrate combinations that maximize methane production while maintaining process stability. Laboratory-scale batch experiments were conducted under mesophilic conditions using thickened waste activated sludge (TWAS) with varying proportions of food waste and co-substrates, including seaweed, aquatic weed, grease trap waste, …

A Multidimensional Conceptual Framework For Supportive Outdoor Environments In Healthcare Settings, Mona Ali, Dalia A. Beheiry, Rowaida Kamel, Hammam Serageldin

HBRC Journal

The integration of supportive outdoor environments (SOEs) in healthcare settings has gained increasing attention for their potential to enhance patient recovery, support staff well-being, and contribute to holistic therapeutic outcomes. This scoping review examines design recommendations for inclusive outdoor environments in healthcare settings that impact user health and experience. Guided by the Joanna Briggs Institute (JBI) framework for scoping reviews, a comprehensive search was conducted across five databases (Google Scholar, PubMed, ScienceDirect, JSTOR, Sage), yielding 697 records. Following screening and applying the inclusion and exclusion criteria, 18 articles were selected for analysis. This scoping review identified consistent evidence linking outdoor …

Vertical Alignment As A Systemic Strategy For Sustaining Workforce-Aligned K–12 Engineering Initiatives: A Collective Case Study Of District-Wide Microelectronics Integration, Greg J. Strimel, Victoria Constantine, Deana Lucas, Emily Haluschak, Yubin Lee, Morgan Hynes, Selcen Guzey, Tamara J. Moore

School of Engineering Technology Faculty Publications

Background

In response to the 2022 CHIPS and Science Act, a K–12 workforce development initiative was launched to embed microelectronics education across US school districts. To promote sustainability, the initiative employed a district-wide vertical alignment strategy that progressively integrates microelectronics content and engineering-related career experiences from kindergarten through high school. While vertical alignment is often used for curriculum planning, its broader potential as a systems-level strategy remains underexplored.

Purpose

This study investigated how vertical alignment functions within a K–12 engineering workforce development initiative, focusing on enablers/barriers toward expanding and sustaining integration efforts. The research questions addressed stakeholder experiences with the …

Straw As A Potential Vegetable Fibre Insulative Infill In Framed Constructions - Material Testing\Tnotereftnote1, Patrick Daly

Journal of Sustainable Construction Materials and Technologies

The construction sector faces increasing pressure to reduce embodied carbon and adopt circular material strategies, with bio-based materials offering a promising pathway. Straw-based insulation, particularly in loose-fill form, has gained traction in Europe, where several products have achieved certification under EAD 040138-01-1201. This study investigates the potential of Irish-processed straw chip as a bio-based insulative infill for framed construction by evaluating its material properties and thermal conductivity–density performance relative to European ETA-certified reference products. A programme of laboratory testing was undertaken on commercially available Irish straw samples, including material characterisation (moisture content, particle morphology, and dust content) and thermal conductivity …

Development And Characterization Of Mycelium-Based Biocomposites From Ganoderma Lucidum Using Spent Yerba Mate And Residual Sunflower Oil For Sustainable Insulation In Construction, Paula V. Alfieri, Guadalupe Canosa

Journal of Sustainable Construction Materials and Technologies

The construction industry urgently requires sustainable alternatives to petroleum-based insulation materials such as expanded polystyrene (EPS) and mineral wool. Mycelium-based biocomposites offer a promising solution by valorizing agricultural waste while delivering competitive thermal and acoustic performance. In this study, developed and characterized biocomposites using Ganoderma lucidum mycelium combined with spent yerba mate and residual sunflower oil (70 g/30 mL), both commonly generated as waste in Argentine institutions. Two formulations were evaluated: high density (HD: 280 ± 5 kg/m³) and low density (LD: 185 ± 5 kg/m³). Samples were cultivated for 90 days at 28 °C and 65% relative humidity and …

Proceedings: Nownet Arts Conference 2019, Sarah Rose Weaver, Chris Chafe, Scott Oshiro, Margaret Schedel

Journal of Network Music and Arts

Proceedings of the 2nd Annual NowNet Arts Conference 2019 “Social Purpose in Contemporary Network Arts.” The conference was held November 7–10, 2019. The primary in-person site was the Institute for Advanced Computational Science (IACS), Stony Brook University. Satellite in-person sites included Center for Computer Research in Music and Acoustics at Stanford University, Edinburgh Napier University, Orpheus Institute in Belgium, and Electronic Studios at the Technical University, Berlin. More locations participated remotely via the internet.

Proceedings: Nownet Arts Conference 2018, Sarah Rose Weaver, Chris Chafe, Margaret Schedel, Min Xiao-Fen

Journal of Network Music and Arts

Proceedings of the NowNet Arts Conference 2018, “Network Music: Artistic and Technological Strategies for Public and Private Networks.” This was the first of the NowNet Arts Conferences, which have been held annually from 2018 to the present. The conference took place from April 19–22, 2018, at the Institute for Advanced Computational Science (IACS), Stony Brook University, and at multiple remote locations connected via the internet.

Comparing Text Score Strategies For Online Music Making, Craig Pedersen, Lindsay R. Vickery, Stuart James

Journal of Network Music and Arts

This paper investigates a range of approaches to using text scores in online and networked music performance, focusing on their alignment with strategies proposed by Wilson (2020) for aesthetic and technical approaches to networked music performance. Text scores, emerging from the experimental music movement of the 1960s, communicate musical ideas through words rather than traditional notation, taking instructional, allusive, and hybrid forms. Although there are many aesthetic and pragmatic approaches to text score composition, the temporal openness of many such works makes the medium well-suited to the latency-challenged practice of telematic performance. The study evaluates four text scores—Craig Pedersen’s July …

Design, Fabrication, And Performance Evaluation Of A Recycling Machine For Converting Biodegradable Waste Into Compost, Mohamed T. Eraky, M.M Radwan, Abdelkhalik Eladl

Mansoura Engineering Journal

This study evaluates the technical feasibility of composting shredded printed paper blended with organic waste using a manually operated aerobic composting system. The investigation focused on process performance under controlled initial conditions, particularly an optimized carbon-to-nitrogen (C:N) ratio of 30:1. Three composting piles were constructed with systematic variations in moisture content, aeration frequency, and additive composition (poultry manure, yeast, crushed eggshells, and cardboard) to assess their influence on thermal behavior and decomposition efficiency. Process performance was monitored through continuous temperature profiling and periodic observation of physical parameters, including color development and material degradation rate. Among the experimental setups, Pile 3 …

Evaluation Of Optimal Force For Intrusion Of A Periodontally Compromised Maxillary Anterior Dentition Treated With Fixed Orthodontics – A Finite Element Analysis, Tanzim Ahmed, Amrita Puri, Aatira Nair, Anshul Singla, Mathew Koshy Vaidyan, Shruti Sharma, Chhavi Singh

International Arab Journal of Dentistry

Introduction: Adult orthodontic treatment is increasingly sought due to aesthetic and functional concerns, often involving periodontally compromised patients with altered biomechanics. Reduced bone support shifts the center of resistance and necessitates lower, carefully controlled forces, while finite element modeling has become a key tool to analyze tissue response under such conditions.

Objectives: The study aimed to determine the optimal intrusive force for periodontally compromised maxillary anterior teeth using Finite Element Analysis (FEA).

Methods: A 3D finite element model of the maxillary anterior dentition was created and divided into healthy and compromised halves, the latter with one-third alveolar bone loss. A …

Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed

Publications and Research

Despite increasing analytical sophistication, empirical research in organization studies continues to suffer from fragile inference, uneven theoretical accumulation, and contested credibility. This paper seeks to explain why these problems persist by shifting attention from authors’ methodological choices to the evaluative dynamics of peer review. Adopting a conceptual and theory-analytic approach, the paper theorizes peer review as an inferential gatekeeping system. Drawing on research design, theory evaluation, and philosophy-of-science literatures, this study develops an analytical framework to examine how evaluative routines shape what constitutes empirical rigor during the review process. The analysis identifies five recurring reviewer blind spots: inferential scope inflation, …

Upar-Guided Dendrimer Gel Nanoparticles Reprogram Inflammation To Stabilize Atherosclerotic Plaques, Hsin Yin Chuang, Huari Kou, Yue-Wern Huang, Hu Yang

Biological Sciences Faculty Research & Creative Works

Atherosclerosis is characterized by lipid deposition, chronic inflammation, and apoptosis within the arterial wall, leading to plaque progression and instability. Current lipid-lowering therapies fail to fully address residual cardiovascular risk driven by local inflammation and cell death. Here, we report the development of uPA-functionalized, rapamycin-encapsulated dendrimer nanoparticles (G5PM-uPA/RA) that preferentially accumulate in urokinase plasminogen activator receptor (uPAR)-enriched atherosclerotic plaque, including macrophage- and apoptosis-rich lesion microenvironments. G5PM-uPA/RA was constructed by cross-linking reaction-enabled flash nanoprecipitation in a custom-made multi-inlet vortex mixer, followed by thiol-maleimide conjugation of uPA for uPAR-guided targeting. The nanoparticles demonstrated uniform morphology, favorable stability, and efficient rapamycin loading. In …

Influence Of Peristalsis On The Hemodynamic Analysis Of Magnetohydrodynamic Jeffrey Fluid In A Two-Layered Narrow Channel, N. Lavanya, G. Ravi Kiran, M. Varun Kumar, K. Rajyalakshmi

Mansoura Engineering Journal

In this paper, an analytical study of MHD-influenced hemodynamic of Jeffrey fluid during peristaltic transport in a two layered narrow channel is presented, a phenomenon that has substantial ramifications for microcirculatory dynamics in the cardiovascular system. The model assumes a Jeffery fluid in the core area to encapsulate microstructural phenomena, including viscosity fluctuations, whereas the periphery area is treated as a Newtonian fluid. The governing equations for both regions are simplified and analytically solved under the long wavelength approximation. Using MATHEMATICA, a numerical investigation is carried out to examine the influence of various parameters, such as the magnetic parameters, amplitude, …

Techedu.Uz: A Web-Based Virtual Laboratory Platform For Studying Induction Heating Processes., Abror Obidovich Pulatov, Murat Fikhratovich Shamiyev, Kutbiddin Asliddin Ugli Boboniyozov

Technical science and innovation

The challenges of integrating high-voltage induction furnace equipment into university laboratory settings were examined, including prohibitive equipment costs, limited student capacity, and serious safety risks. A conceptual design was proposed for a web-based platform called TechEdu.uz, which integrates both a Remote Laboratory module and a Virtual Laboratory module for induction furnace study within a single interface. The Remote module was designed to enable users to start, control, and monitor a real induction crucible furnace via a web interface, with live video surveillance and sensor devices intended to provide real-time measurements of temperature, power, and current values. The Virtual module was …

Human Cancer Genomes Harbor The Mutational Signature Of Tobacco-Specific Nitrosamines Nnn And Nnk, Michael Korenjak, Nuri Alpay Temiz, Stéphane Keita, Bérénice Chavanel, Claire Renard, Cécilia Sirand, Jiehong Guo, Et Al.

Michigan Tech Publications

BACKGROUND: Tobacco use is linked to multiple cancer types and a quarter of cancer deaths. Tobacco smoke contains numerous mutagenic chemicals such as polycyclic aromatic hydrocarbons (PAH), however, the mutagenicity of many chemicals in tobacco products remains underexplored. The tobacco-specific nitrosamines 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and N'-nitrosonornicotine (NNN), both International Agency for Research on Cancer (IARC) Group 1 carcinogens, form pre-mutagenic pyridyloxobutyl (POB) DNA adducts, yet little is known about the associated genomic mutation landscape(s) in humans. METHODS: We applied bulk and error-corrected next-generation sequencing to a battery of experimental systems comprising mammalian cell lines and animals exposed to NNK or NNN, …

Nebraska And The Midwest Agtech Ecosystem: Benchmarking Innovation Investment And Translation Gaps, Ankit Chandra, Ishani Lal, Brennan Costello

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

Agricultural innovation is central to the sustainable transformation of food systems, yet the capital that finances it is unevenly distributed relative to where food is produced. This paper develops a diagnostic framework for measuring this mismatch and applies it across the U.S. Midwest from 2021 to 2025, with particular emphasis on Nebraska's structural position within this landscape. Drawing on venture capital deal-flow data, 17 stakeholder interviews, and a novel strength-weakness-opportunity-gap (SWOG) ecosystem mapping methodology, we document $736 million in tracked Midwest AgTech funding across eight states (Nebraska, Iowa, Missouri, Illinois, Indiana, Kansas, North Dakota, and South Dakota). We introduce three …

Enhancing Virtual Reality Cockpit Procedure Training With Haptic Feedback, Christian K. Jaedicke

Doctoral Dissertations and Master's Theses

Pilot training is time-consuming and costly, and not all phases require full-flight simulators or actual aircraft. Virtual reality (VR) offers a potential means to reduce cost and duration while supporting practical cockpit procedure training. While prior research in the VR domain suggests that providing haptic feedback can support training of muscular control and increase perceived immersion, it remains unclear whether haptic feedback improves spatial cognition in an unfamiliar VR environment. This study examined whether haptic feedback and cockpit complexity affected response time and position error under limited-visibility, time-constrained conditions in a VR cockpit environment (i.e., a quasi-blindfold cockpit check).

Grounded …

Decoration Of Lactic Acid Bacterium By Exploiting In Vitro Sortase A Transpeptidase, Faisal Hamd Alqhtani

Graduate Theses and Dissertations

Attaching a drug module to the surface of lactic acid bacteria was the main aim of this dissertation, and it was achieved. By using the Sortase A mechanism, the drug module (green fluorescent protein fused to the LPETG motif) was anchored to the LAB surface. To reach the final results, this dissertation will describe the process that I undertake to achieve the end goal. Modifying media, producing pure enzymes with less impurity, and reducing the protease activity in E. coli BL21 were all described in this five-chapter dissertation. Keywords: drug delivery, lactic acid bacteria, green fluorescent protein, sortase A, fusion …

Thiol-Based Neuroprotective Copolymers Acutely Restore Redox Metabolism And Mediate Vasogenic Edema In A Mouse Model Of Traumatic Brain Injury, Evan T. Curtis, Brandon Z. Mcdonald, Aria W. Tarudji, Aaron M. Priester, Anthony J. Convertine, Forrest M. Kievit

Materials Science and Engineering Faculty Research & Creative Works

Effective pharmaceutical interventions for treating the secondary damage associated with traumatic brain injury (TBI) are limited due to poor delivery into the brain, insufficient target engagement, and an incomplete understanding of the pathophysiological changes that occur post-impact. Thus, nanoparticles (NP), which have an enhanced permeation and retention-like effect within the perturbed blood-brain barrier, have grown as a potential candidate for treating TBI. We have investigated the antioxidant capacity of thiol-based NP, termed neuroprotective copolymers (NPC3), and their ability to neutralize reactive oxygen species (ROS) and lipid peroxidation products (LPOx). Here, we assessed the efficacy of NPC3 for alleviating the secondary …