Digital Commons Network^™

Neutrosophic Set Model For Controlling Electronic Waste Requirements Management Policies To Minimize Ecological Impact And Improving Resilience And Sustainability, Mohamed Abouhawwash, Nitin Mittal, Sudeep Tanwar

Neutrosophic Systems with Applications

The growing issue of electronic waste (e-waste) necessitates management approaches that promote sustainability and resilience while reducing environmental effects, particularly considering global disruptions and pressure on manufacturers to implement extended producer responsibility laws. There is a research gap in our knowledge of the link between sustainability and resilience since most of the literature currently available on e-waste management focuses on either operational efficiency or sustainability. This study proposes multi-criteria decision making (MCDM) methodology for controlling electronic waste requirements management policies to minimize ecological impact and improving resilience and sustainability. We use the EDAS methodology to rank the alternatives. The criteria …

Application Of Dematel Based On Bipolar Neutrosophic Sets For Sustainable Agriculture Practices, Lazim Abdullah, Nor Liyana Amalini Binti Mohd Kamal

Neutrosophic Systems with Applications

The development of natural capital is a fundamental objective within sustainable agricultural systems, where the optimization of both crop and livestock production is vital to addressing global food demands. Despite this imperative, major agricultural sectors such as paddy and rubber production, often fall short of satisfying consumption needs. This study aims to identify and prioritize the most influential criteria for sustainable agriculture using the Bipolar Neutrosophic Set-based Decision-Making Trial and Evaluation Laboratory (BNS-DEMATEL) method. Expert evaluations were elicited from five agricultural specialists using linguistic assessments to analyze the performance and interdependencies among sustainability criteria. Computational analyses were conducted using MATLAB …

Evaluating And Ranking Genai Chatbots Under Uncertainty: A Type-2 Neutrosophic Rancom–Marcos Mcdm Framework, Hend Ahmed, Abduallah Gamal

Neutrosophic Systems with Applications

Owing to integrate GenAI chatbots to enhance productivity across various tasks, this research presents T2NN-RANCOM-MARCOS multi-attribute decision-making model, which employs Type-2 Neutrosophic Number (T2NN) to handle uncertain data, the RANCOM method, distinguished by its easy, highly repeatable, less time consuming, more appropriate to deal with problems exceeds 5 criteria with expert errors to assign subjective weights to criteria and MARCOS method to evaluate and rank eight GenAI chatbots against six main criteria are included 23 sub-criteria: Quality of Information, Understanding and Reasoning, Expression Style and Persona, Safety and Harm, Trust and Confidence and Economic are primarily derived from QUEST evaluation …

Generative Ai: Another Chapter Of Human-Machine Communication, Seungahn Nah, Patric R. Spence

Human-Machine Communication

This editorial introduces a special issue of Human-Machine Communication that explores how generative AI reshapes the communicative relationship between humans and machines. It highlights emerging research on technology use, education, interpersonal dynamics, and trust in AI-generated content, emphasizing that generative AI’s significance lies not in novelty but in the social negotiations it provokes around meaning, authority, and credibility.

Iot-Enabled Machine Learning Framework For Prediction Of Eutrophication, Hocine Dai, Akli Abbas, Houssam Eddine-Othman Lachemat, Aicha Aid

Iraqi Journal for Computer Science and Mathematics

This study presents an innovative predictive monitoring framework that integrates the Internet of Things (IoT) with advanced machine learning (ML) techniques to model the relationship between oxidized nitrate (NOX)—employed as the sole predictor—and chlorophyll a (CHLA), a key proxy for algal biomass. By utilising a single optimally selected parameter, the approach significantly reduces sensor deployment complexity and instrumentation costs, while minimising data acquisition and computational requirements. Logarithmic and Yeo-Johnson transformations were applied to the predictor and target variables, respectively, to address distributional skewness and enhance variance homogeneity. An optimised Random Forest model demonstrated strong predictive performance, achieving a coefficient of …

09.29.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Contest for Biosafety and Biosecurity Month
• ORED Website Walk Through training
• MIG Applications
• Field Fest

Plasmonic Nanoparticle Integration On Fiber Optic: Role Of Organic Linker And Functionalization Length In Refractive Index Sensing, Shela Ilmiyah, Mohamad Syahadi, Muflikhah Muflikhah, Yuwana Pradana, Zainul Arifin Iman Supardi, Iwan Darmadi, Lia Aprilia

Makara Journal of Science

Nanoplasmonic fiber optic sensors leverage the optical fiber’s inherent compactness and surface sensitivity via evanescent-field interactions with the localized surface plasmon resonance of the metallic nanoparticles. One of the popular approaches is self-assembly owing to its relatively low cost. Despite its low cost, the self-assembly technique has low reproducibility and exhibits low sensitivity because of low nanoplasmonic coverage on the fiber optic surface. In this study, several fabrication techniques were explored to assess the refractive index sensitivity by comparing three common organosilanes, i.e., (3-Aminopropyl)triethoxysilane (APTES), (3-Aminopropyl)trimethoxysilane, and (3-Mercaptopropyl)trimethoxysilane. Comparative analyses assessed the anchoring efficiency of the three silanes, sensor reproducibility, …

Wmu Maritime Affairs Conference 2025 : Transforming A Maritime Future : Digitalization And Decarbonization, World Maritime University

Books

No abstract provided.

Common Ground Newsletter Fall 2025, Missouri University Of Science And Technology

Common Ground

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A Novel Scaffold-Based Model For Stage Ii Pressure Injury Simulation: Protocol Development And Future Directions In Tissue Engineering, Skyler B. Wrubleski

Undergraduate Research and Scholarship Symposium

This study developed a 3D tissue-engineered scaffold to mimic human sacral skin for modeling pressure injuries. The scaffold consisted of a composite hydrogel of sodium alginate, gelatin, and tannic acid, crosslinked with calcium chloride. Swelling tests showed moderate hydration capacity, while wound mimic formation using a custom 3D-printed apparatus produced consistent morphology and dimensions comparable to human dermal tissue. The scaffold maintained structural integrity under prolonged compressive forces, demonstrating viability for pressure injury studies. Future work will incorporate a bilayer model with keratinocytes and fibroblasts and introduce elastin to enhance elasticity and mechanical properties. This approach aims to improve in …

Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi

Coal Geology & Exploration

Objective Bulk material transport in emergency rescue scenarios and coal transportation poses stringent demands for the structural performance of transfer chutes. Given this, from the perspective of the energy dissipation mechanisms of particles, this study proposed structural optimization methods for transfer chutes based on the regulation of particle energy dissipation. Methods An experiment–simulation integrated analysis framework was established. Using this framework, this study systematically simulated the impact process of particles between two-stage walls I and Ⅱ using the discrete element method (DEM), highlighting the coupling mechanisms among velocity fluctuations, stress distribution, and energy transformation pathways. Based on the results, this …

Molecular Simulations Of Selective Adsorption Of Lithium In The No.6 Coal Seam, Junggar Coalfield, Zhang Junshuang, Sun Beilei, Zhang Bin, Liu Chao

Coal Geology & Exploration

Objective With the discovery of metal deposits in coal-bearing strata, the distribution and occurrence patterns of lithium in coals have attracted much attention. However, its partitioning mode between organic structures and minerals in coals remains poorly understood.Methods This study investigated typical coals with a high lithium content in the Junggar Coalfield in Inner Mongolia. By integrating multiple simulation methods, including quantum mechanics, Monte Carlo simulation, and molecular dynamics, this study established the structural models of organic matter and inorganic minerals, as well as a visualized lithium-coal molecular structure model. Accordingly, it investigated the preferential adsorption sites on both organic …

Face Off: Evaluating Virtual Human Expressions And Non-Tracking Control Methods In Vr, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis

Conference papers

Social virtual reality (VR) applications have become more ubiquitous in recent years; central to this is the communication pipeline, how users perceive virtual human facial expressions, and how they control them in real time, especially when using VR devices without face-tracking. We investigated both aspects in a set of experiments. Firstly, we compared the perception of virtual human emotions on a traditional 2D screen and in VR. In a second experiment, we used a validated set of stimuli to compare three different control methods for manipulating an avatar’s facial expressions in VR. These control methods utilize non-tracking control techniques, which …

Antibacterial Activity Of Zno/Geopolymer Composite Granules And Their Potential Application In Water Treatment, Ziyan Tirta Maulitia, Putri Nur Angelina, Pipit Erlita Sari, Sri Sugiarti, Irma Isnafia Arief, Zaenal Abidin

Makara Journal of Science

Water pollution has become a major global concern owing to its complexity and widespread impact. Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) are the most common bacterial contaminants in water sources, which pose significant threats to public health. To mitigate water contamination by these pathogenic microorganisms, developing and implementing effective water treatment technologies are essential. A promising approach involves using antibacterial water filtration systems. Herein, zinc oxide (ZnO) nanoparticles were synthesized via hydrothermal and precipitation methods as antibacterial agents for water treatment. These preparation methods required considerably low synthesis time. A capping agent was …

Assessing The Impact Of Flight Occupancy And Motivation On General Aviation Pilot Decision-Making In Restricted Visibility, Brad A. Bowser

Doctoral Dissertations and Projects

Annually, general aviation (GA) continues to experience an elevated number of fatal weather-related accidents. The highest fatality rate occurs during transitions from visual flight rules (VFR) with clear skies to instrument meteorological conditions (IMC) and restricted visibility. The purpose of this study was to examine differences in flight occupancy (with family, with another pilot, and solo) and flight motivation (extrinsic, intrinsic, and neither) in the willingness of GA pilots to transition from VFR-to-IMC. The framework for this study includes the prospect theory, which is based on behavioral economics, explaining that choices often result in decisions to avoid losses rather than …

Battery Management System For Solar Powered Li-Ion Battery In Electric Vehicle Applications: A Comprehensive Review, Mustafa Abdulelah Ali, Mohanad Aljanabi, Faris Mohammed Ali

The Nexus of Sustainability and Energy Technology Journal

Electric Vehicle (EV) charging use is going up solar installations on rooftops and on a large scale in power plants are increasing consequently. Therefore, a Battery Management System (BMS), which is the system for managing battery storage, was used to control the solar energy generation to coordinate charging. Such a connection gives the BMS the opportunity to modify charging/discharging patterns with the help of solar energy predictions and prices of electricity from the grid. Moreover, the battery is being protected from aging with the BMS to monitor the state of charge/health of the battery. The BMS protects the Li-ion batteries …

Fdm In Textiles - Present Scenario, Challenges And Future Prospects, Kaniz Farhana, Abdul Mahadin Labid, Mahnur Rahman Jahwa, Sabikun Nahar Sadia, Kamal Tafcir Rayhan, Abu Shadate Faisal Mahamude

The Nexus of Sustainability and Energy Technology Journal

In contemporary society, additive manufacturing, also known as 3D printing, is the most valuable production process. Fused Deposition Modeling (FDM) is the most concentrated version because of its versatility, output quality, speed, and other attributes. The goal of this study is to give readers a thorough understanding of FDM and the graphic examination of its effects in the textile industry. This article provides a detailed examination of FDM technology, covering its history, benefits, drawbacks, sustainability, and contributions to many FDM fields. A particular emphasis on the role that FDM plays in the textile industry, as well as its prospects for …

Chacahoula 2025, Volume 92, Alayna Pellegrin

Chacahoula

The 2025 issue of Chacahoula includes December 2024 and May 2025 graduating classes, as well as stunning photography student life on the banks of Bayou Desiard. With features covering students, faculty, and staff, this year's time capsule preserves an academic year in the life of the University of Louisiana at Monroe.

Facilitating The Move Towards A Wellbeing Economy Through Supporting Infrastructure: A Review Of Frontrunner Countries, Henry Bartelet, Vincent De Gooyert

Quantitative Methods and Information Technology Faculty Publications

As more governments seek to shift beyond gross domestic product (GDP) as the dominant measure of progress, the concept of a “wellbeing economy” has gained traction. This approach prioritizes human and environmental wellbeing through broader, more holistic policy frameworks. A central question in this transition is what the implications of shifts to a wellbeing economy are for infrastructure investments. In this study, we identify four frontrunner governments, Bhutan, Scotland, New Zealand, and Wales, that have formally adopted wellbeing economy principles. We analyse how each operationalizes the concept and assess the resulting implications for infrastructure planning and investment. Despite shared goals, …

Design Of Non-Invasive Device To Measure Differential Flow In The Carotid Arteries, Rachel Elisabeth Jacquay

Masters Theses

A stroke is categorized as quickly developing symptoms of cerebral function loss with no apparent cause other than that of vascular origin. Stroke detection in prehospital settings, such as an ambulance, is subjective and often requires additional imaging methods to obtain a definitive conclusion. Common non-invasive methods for stroke detection include Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. Still, these techniques can be expensive, time-consuming, and dangerous due to exposure to strong magnetic fields and radiation. Two additional methods have been proposed for quick, inexpensive, and non-invasive stroke detection, namely Ultrasound Doppler and Pressure Transducer. A simplified physical …

Cyberbullying Defensive Strategy In Social Media Sessions Via Machine Learning And Cyber Deception, Mohammad Shafiqul Islam

Masters Theses

Cyberbullying poses a significant challenge on social media, where traditional detection systems struggle with the nuanced and dynamic nature of online abuse. This thesis proposes an integrated framework that combines large language model (LLM)-based detection with generative decoy responses to enable real-time protection for victims on platforms like Instagram and WhatsApp. Using models such as Mistral 7B, GPT-3.5 Turbo, and Phi-3 Mini, prompt-based one-shot learning achieved 87% detection accuracy and a 5% F1-score improvement over zero-shot approaches, demonstrating robust identification of text-based bullying. A novel synthetic dataset of 98 multi-turn conversations, designed with diverse subtypes and evaluated for realism, addressed …

Evaluation Of Robotic Swabbing And Fluorescent Sensing To Monitor The Hygiene Of Food Contact Surfaces, Siavash Mahmoudi, Clark Griscom, Pouya Sohrabipour, Yang Tian, Chaitanya Palleria, Philip G. Crandall, Dongyi Wang

Biological and Agricultural Engineering Faculty Publications and Presentations

Effective environmental monitoring is critical for preventing microbial and allergenic cross-contamination. However, manual swabbing methods, commonly used to verify hygienic conditions, are prone to inconsistent results because of variability in pressure, coverage, and techniques. Two novel solutions will be explored to address these challenges: a robotic swabbing system with tactile sensing control, and a fluorescence/absorbance spectrometer for non-contact, protein-based residue detection. The robotic system was evaluated against trained and untrained humans, measuring water pickup, surface coverage, and pressure consistency. Concurrently, the fluorescence system analyzed model poultry protein soil to correlate spectral patterns with contamination levels. The robotic system demonstrated statistically …

Antioxidants And Metabolic Biomarkers: Clinical Insights In Breast Cancer Patients, Rania Kareem, Emad Yousif, Taghried Salman, Muna Bufaroosha

AUIQ Technical Engineering Science

Breast cancer is the primary cause of cancer-related deaths among women and the most common life-threatening malignancy identified in this population. The second most common cause of cancer-related fatalities in women is breast cancer. According to the most recent Iraq Cancer Requisition, breast cancer is the most common kind of cancer in women in Iraq, making up almost one-third of all female malignancies. Total of 100 patients with breast cancer was used in this study and compared to 100 healthy groups. Serum levels of vitamin C, vitamin E, Triglycerides, HDL, prolactin, cysteine protease, glutathione peroxidase and glutathione reductase were measured …

Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson

Michigan Tech Publications

Snow accumulation on photovoltaic (PV) panels can cause significant energy losses in cold climates. While drone-based monitoring offers a scalable solution, real-world challenges like varying illumination can hinder accurate snow detection. We previously developed a YOLO-based drone system for snow coverage detection using a Fixed Thresholding segmentation method to discriminate snow from the solar panel; however, it struggled in challenging lighting conditions. This work addresses those limitations by presenting a reliable drone-based system to accurately estimate the Snow Coverage Percentage (SCP) over PV panels. The system combines a lightweight YOLOv11n-seg deep learning model for panel detection with an adaptive image …

Thermal Performance Variations Of Office Spaces In Educational Buildings Resulting From Façade Orientation: An Egyptian Case Stud, Hesham Safwat, Ahmad Elshamy, Rania Rushdy Moussa, Iman El-Mahallawi El-Mahallawi, Engy Elshazly, Mahmoud Mahmoudalghrieb

Mechanical Engineering

This paper investigates the thermal performance of an office floor within the Faculty of Engineering at the British University in Egypt (BUE), located in Cairo, a city characterized by a hot arid climate. The study focuses on understanding the building’s thermal behavior by comparing two identical office rooms: Room 212 (north-facing) and Room 201 (south facing). Utilizing dynamic thermal simulations with TRNSYS 18 for a full year, the research specifically analyzes the impact of these opposite orientations on indoor space temperature, total cooling loads, the monthly heat absorbed by various building surfaces, and the heat absorbed per unit area for …

09.22.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Ralph E. Powe Junior Faculty Enhancement Award
• MIG Application Opportunity
• 10th Annual Advancing MS Conference

Designing For Shalom: Deepening Faith Integration In Engineering And Technology, Fred Haan

University Faculty Publications and Creative Works

Presented on 9/22/2025 at the event, Integration of Faith and Learning in the Disciplines at the University Pelita Harapan in Jakarta, Indonesia

Comparative Study For Channel Pairing In Noma Ofdm- Cdma System, Hazem H. El-Banna, Nelly M. Shafik

Mansoura Engineering Journal

Orthogonal Multiple Access such as OFDM technique became inadequate scheme since it provides limited spectral efficiency and limited number of users. In addition to Orthogonal Multiple Access (OMA), Non-Orthogonal Multiple Access (NOMA) technique is applied in 5th generation of mobile communications that enhances both spectral efficiency and capacity with high Quality of Service (QoS). In this paper, three techniques were combined NOMA, OFDM, and CDMA in order to have optimal system performance in the presence of worst fading channel situations; fast frequency selective Rayleigh multi-path fading channel. The main contribution of this paper is the novel channel pairing technique introduced …

An Estimation Study Of The Co2 Emissions In Saudi Arabia Using Machine Learning, Mohammed A. Albalawi, M.M. El-Halwany, Mahmoud H. Mahmoud, Mohamed Gar Alalm

Mansoura Engineering Journal

As part of the 2015 Paris Climate Agreement, the Kingdom of Saudi Arabia (KSA) pledged to implement policies aimed at reducing greenhouse gas emissions. The 2030 Vision, which KSA unveiled with the goal of building a more sustainable and diverse economy, led to a number of projects, such as the national renewable energy program, the Saudi green initiative, and the circular carbon economy. Additionally, KSA just revealed a bold plan to achieve net-zero status by 2060. The Kingdom pledged to cut its carbon emissions by 278 million tons of CO2eq (equivalent) yearly by 2030 in its revised nationally determined contribution …

Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin

Mechanical Engineering Faculty Publications

The global reliance on fossil fuels and natural gas has largely dominated the energy production field, but due to finite resource depletion and escalating greenhouse gas emissions, the immediate exploration of sustainable energy alternatives to mitigate climate change and ensure resource security has been a major concern. There has been extensive research into other more renewable methods of energy production, such as wind and hydropower. Of these current energy generation types, there are many areas of untapped potential from the mechanical movements generated ambiently not only in the large scale of power generation but also on a smaller scale. The …