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Full-Text Articles in Entire DC Network
The Open Wiki Of Electrochemical Methods (Owem): A Community-Driven Educational Resource, Anderson Fuller, Devin Rappleye
The Open Wiki Of Electrochemical Methods (Owem): A Community-Driven Educational Resource, Anderson Fuller, Devin Rappleye
Reviews, Analyses, and Instructional Studies in Electrochemistry (RAISE)
The traditional resources for learning electrochemical methods—textbooks, academic literature, and university coursework—remain essential but are limited in accessibility, update frequency, and practical usability. This paper introduces the Open Wiki of Electrochemical Methods (OWEM), an open-access, community-driven platform designed to complement these resources. OWEM organizes content into equations, definitions, methods, tutorials, and supplementary articles, with a heavy emphasis on experimental relevance. A case study on cyclic voltammetry demonstrates how OWEM consolidates foundational theory, lesser-known results, and practical guidance within a continuously maintainable framework to benefit the broader electrochemistry community.
Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade
Aspirational Mirrors: A Conceptual Model Of Alumni-Led Near-Peer Outreach For Precollege Engagement In Ocean Engineering, Habibi Palippui, Juswan Sade
Journal of Pre-College Engineering Education Research (J-PEER)
Precollege students in Indonesia, especially in rural and coastal regions, often lack exposure to engineering disciplines due to social, geographic, and informational barriers. This essay proposes a conceptual model of alumni-led near-peer outreach as an affective and culturally grounded mechanism to engage high school students in ocean engineering. Drawing from theories of social similarity, possible selves, and engineering identity, the model conceptualizes alumni as “aspirational mirrors” who influence students not merely through information but also through identification. The model outlines four primary mechanisms—social connection, narrative engagement, aspirational mirroring, and early identity activation—and also accounts for contextual variables such as school …
Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa
Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa
BAU Journal - Science and Technology
A comprehensive evaluation of current and novel diagnostic techniques is necessary since the diagnosis of breast cancer is essential for improving treatment efficacy and raising long-term survival. Evidence from conventional imaging methods including mammography, ultrasonography, and magnetic resonance imaging is combined in this systematic review with advancements in liquid biopsies and current AI-based diagnostic tools. Using specific keywords related to breast cancer, early detection, imaging, biomarkers, and artificial intelligence, a thorough search was conducted in PubMed, Scopus, Web of Science, and IEEE Xplore. Reviews, case reports, and studies unrelated to breast cancer were excluded; only clinical, experimental, and computational research …
Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda
Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda
BAU Journal - Science and Technology
High level of safety risk on road construction projects remains a major concern for all industry stakeholders, as safety of workers is paramount to achieving project success. Managing construction safety requires a more comprehensive approach. New technologies have recently emerged to enhance construction safety. This study examines the level of adoption and barriers to the implementation of these technologies in safety risk management on road construction sites in Lagos, Nigeria, with a view to improving the safe delivery of the road projects. A questionnaire was designed and administered to two engineers and one worker randomly selected on each of sixty-one …
Compound Role Of Using Advanced Materials And Design Procedures On Improving The Performance Of Baghdad Buildings Facades, Abeer Qasim Jbur
Compound Role Of Using Advanced Materials And Design Procedures On Improving The Performance Of Baghdad Buildings Facades, Abeer Qasim Jbur
Al-Esraa University College Journal for Engineering Sciences
The research idea addresses improving the thermal performance of buildings in Baghdad by selecting and employing facade materials to reduce heat gain and energy consumption associated with cooling in a hot-dry climate. The study discusses the pivotal role of facade materials in interacting with solar radiation, heat transfer, and inward thermal transmittance, as well as their capacity to store and release heat in ways that maintain thermal comfort within architectural spaces and reduce reliance on mechanical cooling systems. A range of traditional materials such as stone, earth, and concrete is presented alongside modern materials like high-performance glass and thermal storage …
Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq
Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq
Al-Esraa University College Journal for Engineering Sciences
Android malware is not only increasing in size and sophistication but is also a challenge to be detected on a large scale. Static analysis is popular due to its ability to detect malware without running applications or tracing run-time events. However, features, datasets, labeling methods, and assessment methodology differ, which makes studying performance difficult. This is a systematic study of 78 peer reviewed articles written between 2021 and 2026 regarding the Android malware detection by static analysis. In each of the studies, the current survey cover the following feature source, feature representation and engineering, learning paradigms, datasets and labeling methods, …
Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji
Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji
Al-Esraa University College Journal for Engineering Sciences
Spatial thinking constitutes a core cognitive ability in early architectural design education, enabling students to interpret, organize, and transform spatial relationships into coherent architectural configurations. Despite its importance, studio practice often indicates that first-year students rely on surface-level representation rather than engaging in structured spatial reasoning, which leads to fragmented compositions and weak spatial coherence. Accordingly, this study investigates the following research question: To what extent can guided mind mapping support the development of spatial thinking in early architectural design studios? A quasi-experimental design was adopted to examine the impact of structured visual–cognitive guidance on students' spatial reasoning. The study …
Multiaxial Stress And Deformation Analysis In Mechanical Structures Under Variable Dynamic Loads, Aqeel Naeem Fareed Al-Khafaji
Multiaxial Stress And Deformation Analysis In Mechanical Structures Under Variable Dynamic Loads, Aqeel Naeem Fareed Al-Khafaji
Al-Esraa University College Journal for Engineering Sciences
Piping supports in gas and process facilities in Iraq are routinely exposed to operational vibration and moderate seismic actions, creating multiaxial, variable dynamic loads that are not fully captured by conventional uniaxial, static design checks. Welded brackets, in particular, are prone to local stress concentration and fatigue at weld toes. This study aims to quantify the multiaxial stress and deformation response of a welded steel pipeline support bracket under variable dynamic loading and to assess the implications for structural integrity and design practice. It was demonstrated by the development and validation of a three-dimensional finite element model of a bracket-pipe …
Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid
Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid
Al-Esraa University College Journal for Engineering Sciences
Achieving consistent surface integrity in CNC milling under varying materials and degraded tool conditions remains a critical challenge because fixed cutting parameters often induce regenerative chatter, accelerate tool wear, and cause surface and subsurface damage. This paper presents an integrated solution that combines an Ensemble Digital Twin (EDT), real-time in-process vibration monitoring, and a hybrid adaptive controller to maintain high surface quality while preserving productivity. The EDT fuses a physics-based milling dynamics model with a recurrent LSTM surrogate through a context-aware meta-learner that weights model outputs by process state (e.g., tool wear, engagement). A compact real-time monitoring pipeline computes a …
Enhancement Of Tribological Behavior Of Rotating Bearings Using Advanced Ceramic Compounds Via Thermal Spray Techniques, Amjid Shihab Abdul Jaleel
Enhancement Of Tribological Behavior Of Rotating Bearings Using Advanced Ceramic Compounds Via Thermal Spray Techniques, Amjid Shihab Abdul Jaleel
Al-Esraa University College Journal for Engineering Sciences
Rotating machines constitute the main part of the most important industrial sectors in Iraq such as oil and gas production, power generation, and manufacturing. The harsh operating conditions however, in the form of high temperatures, corrosive agents and abrasive particulates are causes of premature failure of crucial components such as journal bearings. This study examines the improvement of tribological characteristics of normal steel journal bearings using superior ceramic coating using thermal spray. In particular, atmospheric plasma spray (APS) was used to deposit Alumina-Titania (Al2O3–TiO2) and Zirconia (ZrO2)coating on A106 Grade B carbon …
Effect Of Nano-Additives On Fracture Toughness Of Engineering Materials: An Experimental Study, Humam Ahmed Awad
Effect Of Nano-Additives On Fracture Toughness Of Engineering Materials: An Experimental Study, Humam Ahmed Awad
Al-Esraa University College Journal for Engineering Sciences
Structural integrity and service life of engineering components is based on fracture resistance. The paper presents an experimental study on the nano-additive that can be added to the locally-produced Iraqi engineering materials in order to enhance their fracture toughness. The research was inspired by the increasing demand in high-performance materials in the main sectors of the country such as infrastructure and energy besides the need to improve the properties of local resources. The tested material systems were two Portland cement composites and epoxy-based polymers. Nano-silica (n-SiO2 nano-alumina (n-Al2O3) and multi-walled carbon nanotubes (MWCNTs) were added …
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
Al-Esraa University College Journal for Engineering Sciences
In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …
Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed
Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed
Al-Esraa University College Journal for Engineering Sciences
Compressing video is an important and essential function in today's multimedia systems as it enables the efficient storage and transmission of large volumes of video data. The proliferation of high-resolution videos that are being used in various application areas such as video streaming, video conferencing, surveillance, and autonomous systems has caused the strong demand for more efficient compression algorithms. This paper presents an in-depth review of video compression techniques with particular focus on AI methods. It also discusses traditional video coding standards including H. 264/AVC, H. 265/HEVC, and AV1, including motion estimation, transform coding quantization entropy coding, and rate-distortion optimization. …
Strategic Optimal Design Of Energy Storage Systems For Enhancing Stability And Sustainability In Electrical Distribution Networks, Hayder Abdulhussein Allawi
Strategic Optimal Design Of Energy Storage Systems For Enhancing Stability And Sustainability In Electrical Distribution Networks, Hayder Abdulhussein Allawi
Al-Esraa University College Journal for Engineering Sciences
The paper will provide a multi-objective model of optimizing the strategic placement and size of Battery Energy Storage Systems (BESS) in the Iraqi electrical distribution systems. The power grid of Iraq has deep issues, such as chronic power shortages, extreme grid instability, and astronomical technical and non-technical losses, and they can be up to 50 percent of the power generated. These problems require new solutions that will make the grid more modern and reliable in terms of energy security. The suggested methodology combines a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm and the specific mathematical models of BESS and renewable energy …
Objective Biomarker Development For Parameter Optimization In Neuromodulation Using High-Density Emg Temporal And Spatial Features, Shirin Madarshahian, Nikoo Javadpour, Michael Trakhtorchuck, Tatiana Guerrero-David, Kristin Gustafson, James Harrop, Caio Matias, M. J. Mulcahey, Alessandro Naopli, Alex R. Vaccaro, Mijail Serruya
Objective Biomarker Development For Parameter Optimization In Neuromodulation Using High-Density Emg Temporal And Spatial Features, Shirin Madarshahian, Nikoo Javadpour, Michael Trakhtorchuck, Tatiana Guerrero-David, Kristin Gustafson, James Harrop, Caio Matias, M. J. Mulcahey, Alessandro Naopli, Alex R. Vaccaro, Mijail Serruya
Farber Institute for Neuroscience Faculty Papers
Transcutaneous spinal cord stimulation (tSCS) is a promising neuromodulation approach for motor recovery after spinal cord injury (SCI), yet clinical programming remains largely dependent on subjective parameter selection. This study evaluated high-density surface EMG (HD-sEMG)–derived spatial and temporal features as objective biomarkers for tSCS optimization in three adults with chronic cervical SCI. A 64-channel electrode array recorded stimulation-evoked responses across five cervical stimulation levels, four pulse widths, and graded amplitudes. Features describing activation magnitude, spatial distribution, cluster morphology, and temporal dynamics were extracted from epoch-based activation maps. Of the three enrolled participants, two demonstrated measurable stimulation-evoked responses and contributed to …
Enhancement Of Gas Turbine Efficiency By Using Recuperator And Intercooler Systems, Mohammed Saad Kamil
Enhancement Of Gas Turbine Efficiency By Using Recuperator And Intercooler Systems, Mohammed Saad Kamil
Al-Esraa University College Journal for Engineering Sciences
High power density and operational flexibility make gas turbines an indispensable part of contemporary energy conversion systems. However, in the simple cycle configuration, the thermal efficiency is generally low because the exhaust heat loss is large and the compression work is high. The current investigation is focused on enhancing the thermal efficiency of a gas turbine by the introduction of two augmentation schemes, namely a recuperator and an intercooler. A numerical and thermal simulation study was carried out to model the gas turbine cycle based on the first and second laws of thermodynamics. Simplicity and Modified cycles Performance of simple …
Cfd Optimization Using Ansys Fluent For Advanced Thermal Energy Conversion, A Case Study On Heat Recovery Systems In Iraqi Power Plants, Basim Mohammed Abid Ali
Cfd Optimization Using Ansys Fluent For Advanced Thermal Energy Conversion, A Case Study On Heat Recovery Systems In Iraqi Power Plants, Basim Mohammed Abid Ali
Al-Esraa University College Journal for Engineering Sciences
The energy sector in Iraq has lots of potential but the infrastructures are old and lack optimum thermal efficiency resulting in high consumption of fuel and environmental degradation. The study focuses on the urgent necessity of modernization of the thermal energy conversion systems in the industrial plants of Iraq by means of the further development of numerical simulation. The paper applies the Computational Fluid Dynamics(CFD) through ANSYS Fluent to model and optimize a shell-and-tube heat exchanger, which is similar to the ones employed in heat recovery units in Iraqi thermal power plants like the Al-Dora power plant in Baghdad. The …
Spatial Estimation For Gas Flaring And Natural Gas Waste From Oil Production Using Remote Sensing And Gis Techniques, Hisham M. Jawad Al Sharaa
Spatial Estimation For Gas Flaring And Natural Gas Waste From Oil Production Using Remote Sensing And Gis Techniques, Hisham M. Jawad Al Sharaa
Al-Esraa University College Journal for Engineering Sciences
This study aims to provide a comprehensive geospatial gas flaring intensity and emission doses analysis throughout oil production areas in Iraq based on remote sensing and GIS-based interpolation methods. Satellite image and spatial data were combined to create a map of flaring locations, refinery locations, and associated CO2-equivalent emissions. The results show that there is a clear spatial variation in the intensity of the emissions ranging from northern regions towards the oil fields in the south near Basra, Rumaila and West Qurna, where refinery density and high flaring activities are observed. Interpolation modelling suggests that the majority of …
Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot
Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot
Al-Esraa University College Journal for Engineering Sciences
This study presents a hybrid Artificial Intelligence–Computational Fluid Dynamics (AI-CFD) framework for optimizing heat transfer in magnetic bio-nanofluids subjected to external magnetic fields. Magnetic bio-nanofluids, composed of biocompatible base fluids containing superparamagnetic nanoparticles, exhibit tunable thermal and flow behavior, making them promising for biomedical and micro-cooling applications. Conventional optimization methods based on experiments or brute-force CFD are computationally expensive and limited in exploring the full design space. To overcome these challenges, an Artificial Neural Network (ANN) surrogate model was developed to predict two key performance indicators, the Nusselt number and the friction factor, with high accuracy (R2 > 0.997). The …
Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda
Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda
Al-Esraa University College Journal for Engineering Sciences
Background: Freshwater scarcity and growing energy demand have promoted interest in sustainable desalination technologies, particularly in arid areas like Iraq which has high solar resource and decentralized water supply becomes a key factor. Aim: The purpose of this study was to design and test a solar powered water desalination system that could enhance fresh water productivity, thermal efficiency and quality of water under the climatic conditions of Iraq. Methodology: It was designed as hypothetical pilot-scale system that comprised of a single-slope solar still combined with a flat-plate solar collector, a 200 W photovoltaic-driven circulation pump and 18 kg of phase …
Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal
Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal
Al-Esraa University College Journal for Engineering Sciences
Historic urban spaces play a central role in shaping social interaction, environmental comfort, and collective identity in cities with deep cultural heritage. Despite this importance, empirical assessments of their performance in terms of Quality of Life (QoL) from the perspective of contemporary users remain limited, particularly in the context of Baghdad. This study examines Quality of Life indicators within a historic urban space through a case study of Al-Mustansiriya Madrasa, one of Baghdad's most prominent historic educational complexes. A descriptive–analytical approach was adopted, integrating a structured questionnaire survey, systematic on-site observation, and spatial analysis based on Space Syntax techniques. The …
Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad
Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad
Al-Esraa University College Journal for Engineering Sciences
The Iraqi Museum's remaining architectural form and traditional display techniques do not allow for enough interaction between visitors and the items, despite the museum's great heritage and cultural value. This between visitors and the exhibits. Additionally, the museum does not include interactive technologies and contemporary architecture, which are now essential components of modern museums around the world.This invites the question of how to optimize the Iraqi Museum's visitor experience by applying the principles of interaction design in museum architecture within a contemporary developmental vision. In order to revive the architectural spaces within the Iraqi Museum, the research aims to generate …
Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq
Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq
Al-Esraa University College Journal for Engineering Sciences
The current paper provides a detailed experiment and numerical study of the performance of the combustion chamber of a heavy-duty diesel engine in the common Iraqi industrial conditions at the State Company of Heavy Engineering Equipment (HEESCO). The main goal is to close the difference between what is specified by the manufacturers concerning the performance data, which is usually assumed to be under ideal conditions of the ISO standard, and the real efficiency of operation as witnessed in the field. The methodology is based on a hybrid approach that combines direct field measurements of in-cylinder pressure, temperature and fuel flow …
An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany
An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany
Al-Esraa University College Journal for Engineering Sciences
Smart cities are emerging as a critical solution for creating more efficient, sustainable, and comfortable urban environments. This transformation is primarily driven by the synergistic integration of the Internet of Things (IoT) and Artificial Intelligence (AI). The IoT provides a pervasive network of connected sensors that collect real-time urban data, while AI serves as the analytical engine that processes this information to optimize city-wide systems. This paper presents a comprehensive framework that leverages this AI-IoT convergence for dynamic optimization to achieve long-term urban sustainability. The framework focuses on enabling intelligent, data-driven decision-making across core urban domains. The discussion and analysis …
Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher
Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher
Al-Esraa University College Journal for Engineering Sciences
In the study, nonlinear vibration and thermo-mechanical characteristics of centrifugal pump bearings utilized in the cooling tower system of South Refineries Company (Basra) were properly examined using a combined experimental and numerical method. The intent of the study was to learn the impact of misalignment, the nature of the lubrication film, and thermal gradients on the stability of the operation of these bearings and their service life under realistic industry environment conditions. Finite element model (FEM) was constructed and tested on the basis of real field data obtained at the working pumps that allowed realistic distribution of stress and temperature. …
An Interactive Multi-Objective Programming Approach For Optimizing Fully Trapezoidal Spherical Fuzzy Linear Programming Problem With Application, Sultan S. Alodhaibi, Hissah Ibrahim Almuzini, Hamiden Abd El-Wahed Khalifa
An Interactive Multi-Objective Programming Approach For Optimizing Fully Trapezoidal Spherical Fuzzy Linear Programming Problem With Application, Sultan S. Alodhaibi, Hissah Ibrahim Almuzini, Hamiden Abd El-Wahed Khalifa
Neutrosophic Systems with Applications
In this paper, a linear programming framework with completely uncertain parameters is investigated by employing trapezoidal spherical fuzzy numbers (TrSFNs). The proposed formulation incorporates a spherical fuzzy (SF) decision environment in which the optimization process simultaneously maximizes the degree of positive membership while minimizing the corresponding neutral and negative membership degrees. By utilizing the concept of the α -cut associated with TrSFNs, the original fully fuzzy linear programming problem is transformed into an interval-valued linear programming model with confidence levels. To rank and compare the resulting interval objective values, an interval ordering approach based on the decision maker's preferences—considering the …
Exploiting Uncertainty Of Computational Methodology In Optimizing User Interface In Human-Computer Interaction, Nada Mohamed, Alshaimaa A. Tantawy
Exploiting Uncertainty Of Computational Methodology In Optimizing User Interface In Human-Computer Interaction, Nada Mohamed, Alshaimaa A. Tantawy
Neutrosophic Systems with Applications
Human-computer interaction (HCI) evaluation and optimization of user interfaces (UIs) constitute a complex multi-criteria decision-making challenge, marked by conflicting evaluation dimensions, subjective expert judgments, and inherent uncertainty in user experience assessment. Traditional evaluation approaches, such as heuristic expert reviews and user satisfaction surveys, rely on sharp, binary classifications that fail to capture the gradual and overlapping nature of human cognitive and affective states. This limitation necessitates a more robust uncertainty-aware methodology that can model the true complexity of HCI evaluation. This paper proposes a hybrid mathematical model that integrates various Multi-Criteria Decision Making (MCDM) techniques of Entropy, and Simple Additive …
Recursive Neutrosophic Superhypergraphs With Illustrative Applications, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran
Recursive Neutrosophic Superhypergraphs With Illustrative Applications, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran
Neutrosophic Systems with Applications
Finite hypergraphs generalize ordinary graphs by permitting each hyperedge to join any nonempty set of vertices, and thus provide a natural model for truly multiway interactions. To represent hierarchical and multi-layer structure, SuperHyperGraphs iterate the powerset operation so that set-valued entities created at one level can be treated as vertices at higher levels. Independently, recursive hypergraphs allow edge recursion: an edge may contain not only vertices but also lower-level edges, yielding nested (and possibly self-referential) incidence controlled by a specified recursion depth. In this work we introduce and axiomatize Recursive Neutrosophic SuperHyperGraphs, a unified framework that combines vertex …
Numerical Method For Strongly Variable-Density Flows At Low Mach Number: Flame-Sheet Regularisation And A Mass-Flux Immersed Boundary Method, Matheus P. Severino, Fernando F. Fachini, Elmer M. Gennaro, Daniel Rodríguez, Leandro F. Souza
Numerical Method For Strongly Variable-Density Flows At Low Mach Number: Flame-Sheet Regularisation And A Mass-Flux Immersed Boundary Method, Matheus P. Severino, Fernando F. Fachini, Elmer M. Gennaro, Daniel Rodríguez, Leandro F. Souza
Mathematical Modelling and Numerical Simulation with Applications
A low-Mach-number flow, in the laminar regime, has intrinsically two characteristic spatial scales for a given time scale, or two characteristic temporal scales for a given spatial scale, and these dual scales are very different due to the disparity between the flow and acoustic speed. Therefore, low-Mach-number flows impose mathematical and computational challenges in their description. Standard numerical methods for compressible flows, which are typically designed for problems with a single dominant spatial and temporal scale, require alternative approaches, such as preconditioning techniques or solvers tailored for low-Mach-number equations. The present work introduces a simplified fluid dynamics model for flows …
Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad
Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad
Neutrosophic Systems with Applications
This paper introduces Generative Endurance Logic (GEL), a formal framework for studying objects through the outcomes they can produce. In many cases, an object cannot be judged only by a fixed truth value, score, or utility value. A rule, model, action, or strategy may behave well in one situation but fail when the context changes or when small perturbations occur. GEL addresses this issue by treating each object as a generator of outcomes. Each object a is linked to a generation map Ga:X×Ω→Y, where X is the context space, Ω is the …