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Spatial Estimation For Gas Flaring And Natural Gas Waste From Oil Production Using Remote Sensing And Gis Techniques, Hisham M. Jawad Al Sharaa Jun 2026

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 …

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Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot Jun 2026

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 …

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Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed Jun 2026

Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed

Al-Esraa University College Journal for Engineering Sciences

The fourth-generation (4G) mobile communication is supposed to combine a broad coverage of services, including high-speed data, video streaming, multimedia applications and voice transmission, into a single scale. Adaptive OFDM (AOFDM) is among the most popular techniques proposed to meet this objective in which the settings of the transmission are dynamically optimized to the prevailing changing conditions of the channel fading. This paper is concerned with the adaptive modulation in OFDM. We find out the performance of un-coded adaptive modulation on the schemes of QAM and PSK. An effort to use convolutional coding is also integrated into the structure of …

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Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda Jun 2026

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 …

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Comparative Adsorptive Performance Of Clinoptilolite, Purolite, And Mesoporous Carbon (Cmk-3) For Heavy Metals And Hydrocarbons Removal From Real Petrochemical Effluent, Eynas Muhamad Majeed, Nuha Muhsen Ali Jun 2026

Comparative Adsorptive Performance Of Clinoptilolite, Purolite, And Mesoporous Carbon (Cmk-3) For Heavy Metals And Hydrocarbons Removal From Real Petrochemical Effluent, Eynas Muhamad Majeed, Nuha Muhsen Ali

Al-Esraa University College Journal for Engineering Sciences

Petrochemical activities result in the generation of effluent that contain highly toxic heavy metals and oil products, which are very hazardous to the environment. The research tries to examine the adsorption capacity of three materials synthetic clinoptilolite, synthetic Purolite, and synthesized mesoporous carbon (CMK-3) in the removal of Ni2+, Cd2+, Pb2+, benzene, and toluene present in real refinery effluent obtained at Al-Dora Refinery in Iraq (Baghdad). The experiments were carried by batch adsorption that investigated the equilibrium behavior, kinetic performance, and the influence of ionic strength and organic co-contaminants. The heavy metal adsorption was …

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The Impact Of Architectural Form On Seismic Performance Of Buildings, Durgham Munir Abdul Hadi, Abdullah Saadoon Salman, Lahib Ali Abdul Hussein Jun 2026

The Impact Of Architectural Form On Seismic Performance Of Buildings, Durgham Munir Abdul Hadi, Abdullah Saadoon Salman, Lahib Ali Abdul Hussein

Al-Esraa University College Journal for Engineering Sciences

Seismic overall performance of buildings is a important issue in each architectural and structural design, especially in regions exposed to seismic dangers. Despite giant improvements in structural engineering technologies, the function of architectural form stays insufficiently incorporated into layout practices geared toward improving seismic resistance. This look at investigates the effect of the formal dimension of architectural design on the seismic performance of buildings by analyzing key shape-related attributes, namely regularity, symmetry, simplicity, continuity, and slenderness. An analytical–descriptive method is followed, based totally on an extensive evaluation of applicable literature and the assessment of architectural configurations with regards to their …

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Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal Jun 2026

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 …

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Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad Jun 2026

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 …

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Evaluation Of Air Quality And Respiratory Health Among Wastewater Treatment Workers Across Different Exposure Levels: A Cross-Sectional Study In Al-Diwaniyah City, Zahraa R. Mizher, Luma H. Alazawii, Israa J Mohammad Jun 2026

Evaluation Of Air Quality And Respiratory Health Among Wastewater Treatment Workers Across Different Exposure Levels: A Cross-Sectional Study In Al-Diwaniyah City, Zahraa R. Mizher, Luma H. Alazawii, Israa J Mohammad

Al-Nisour Journal for Medical Sciences

Wastewater treatment facilities are important sources of occupational exposure to dangerous air pollutants, such as particulate matter and toxic gases, which can have a detrimental effect on employees' respiratory health. Lung function may be compromised by prolonged exposure, especially in uncontrolled settings. However, there isn't much information about these dangers in Iraq. The purpose of this study was to evaluate the quality of the air and compare lung function-based diagnoses and related risk factors across workers who were heavily and slightly exposed. A cross-sectional analytical study was conducted on 108 employees of Al-Diwaniyah's sewer networks and wastewater treatment facilities participated. …

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Importance Of 8-Ohdg And Mda In Assessing The Oxidative Stress Capacity In Iraqi Brain Tumor Patients, Riyam Hussein Mohammed, Ali Abdul Hussein Mahdi, Maha Diekan Abbas Jun 2026

Importance Of 8-Ohdg And Mda In Assessing The Oxidative Stress Capacity In Iraqi Brain Tumor Patients, Riyam Hussein Mohammed, Ali Abdul Hussein Mahdi, Maha Diekan Abbas

Al-Nisour Journal for Medical Sciences

Brain cancer is a significant health problem, with a notable change in the oxidative stress and antioxidant levels. Malondialdehyde (MDA) may change the structure of the cell membrane and later may lead to alterations in DNA at the cellular level. The 8-OHdG levels are increased in multiple cancer tissues and may be considered an indicator of the prognosis of most solid tumors. This study aimed to find out the possible relation between the MDA and 8-OHdG, along with exploring the role of blood sugar and HbA1c in the progression of brain tumors. This case- control study includes 60 brain tumor …

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Ai-Driven Arabic Linguistics For Autism Spectrum Disorder: A Systematic Review And Conceptual Framework, Jamal K. Abbas, Israa Abed Jawad, Qamar Ali Abdulridha, Haytham Falih Hassan, Dena Qusay Alrawi, Ula Kamal Abdulkadir, Amal Hassan J. Al-Bazzaz, Riyam Zaid Alameri Jun 2026

Ai-Driven Arabic Linguistics For Autism Spectrum Disorder: A Systematic Review And Conceptual Framework, Jamal K. Abbas, Israa Abed Jawad, Qamar Ali Abdulridha, Haytham Falih Hassan, Dena Qusay Alrawi, Ula Kamal Abdulkadir, Amal Hassan J. Al-Bazzaz, Riyam Zaid Alameri

Al-Nisour Journal for Medical Sciences

ASD is a complicated neurodevelopmental condition where diagnosis and intervention still depend on subjective behavioral observation. These challenges, however, are greater in Arabic-speaking contexts with scant, standardized diagnostic tools, limited linguistic resources, and a broad application of AI solutions developed primarily for English language data. This paper implements a systematic review of a conceptual framework that uses computational linguistics, NLP, and AI to support ASD early screening and speech-language intervention within the Arabic-speaking population. Rather than reporting empirical findings, the paper synthesizes recent peer-reviewed literature to identify linguistically-anchored ASD-related markers suitable for computational analysis, encompassing echolalia, atypical pronoun usage, pragmatic …

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Formulation And Evaluation Of Transdermal Delivery Of Naproxen Gel, Ferial Majed Mahdi, Hiba Ezzat Hamed, Aws Saffar, Salah Hassan, Safa Hashim Waheb Jun 2026

Formulation And Evaluation Of Transdermal Delivery Of Naproxen Gel, Ferial Majed Mahdi, Hiba Ezzat Hamed, Aws Saffar, Salah Hassan, Safa Hashim Waheb

Al-Nisour Journal for Medical Sciences

This study aimed to formulate and evaluate transdermal gels containing the nonsteroidal anti-inflammatory drug naproxen, using different polymers including Carbopol 934P, HPMC K4M and sodium CMC as gelling agents. Twelve formulations (F1 to F12) were prepared and subjected to physicochemical evaluation; FTIR results confirmed complete chemical compatibility between the drug and excipients and the pH of all samples (in the range of 5.80 to 6.55) was found to be favorable for skin safety. Increasing the polymer concentration increased the viscosity of the gels and directly controlled the drug release rate in in vitro tests. Formulation F4 (Carbopol 2.0%) was selected …

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The Pivotal Role Of Artificial Intelligence In Optimizing Pharmaceutical Formulation And Delivery, Ali Khidher Abbas, Mustafa M. Noori, Ibtihal Abdulkadhim Dakhil, Mohammed Hussain Al-Mayahy Jun 2026

The Pivotal Role Of Artificial Intelligence In Optimizing Pharmaceutical Formulation And Delivery, Ali Khidher Abbas, Mustafa M. Noori, Ibtihal Abdulkadhim Dakhil, Mohammed Hussain Al-Mayahy

Al-Esraa University College Journal for Medical Sciences

Artificial intelligence (AI) has emerged as a transformative technological paradigm within the pharmaceutical sciences, offering innovative and forward-looking solutions to surmount the inherent limitations associated with conventional drug development, formulation design, and therapeutic delivery systems. Traditional pharmaceutical methodologies frequently entail protracted development timelines, extensive experimental procedures, and substantial financial expenditures, particularly within the domains of formulation optimization and drug delivery design. The integration of AI-driven technologies – encompassing machine learning (ML), deep learning (DL), artificial neural networks (ANNs), and predictive analytics – has considerably accelerated pharmaceutical research by refining decision-making processes, alleviating experimental burden, and enhancing formulation efficiency. The present …

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Some Pathogenic Agents Isolated From Gento-Urinary Tract Of Females Patients In Baghdad Area, I. M. Al-Saqur, A. N. Al-Thwani, E. M. Abdul Ameer, S. W. Abd-Al-Zhra, M. K. Sahan, H. S. Ferman, A. A. Hassan, H. M. Hassan Jun 2026

Some Pathogenic Agents Isolated From Gento-Urinary Tract Of Females Patients In Baghdad Area, I. M. Al-Saqur, A. N. Al-Thwani, E. M. Abdul Ameer, S. W. Abd-Al-Zhra, M. K. Sahan, H. S. Ferman, A. A. Hassan, H. M. Hassan

Al-Esraa University College Journal for Medical Sciences

The Urinary Tract Infection (UTI) represents a significant global health burden and the pathogens which inhibit the geneto - urinary Tract (GUT) of women cause devastating consume. In this study investigation UGT were carried out through examination of 186 women (183 married and 65 unmarried) who attended Damascus Private Medical Center-Baghdad, through the period from the beginning of January 2023 to the end of August 2023. Detection were conducted according to the standard methods after macroscopically and macroscopically examination of u samples. The results, indicated that 121 (65.05%) were infected and married women had high infection (78.86%) than the unmarried …

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Measuring The Concentration Of Heavy Metals In The Serum Of Traffic Police And Their Impact On Heart Disease In The Future, Hanaa Khalil Sacheat Jun 2026

Measuring The Concentration Of Heavy Metals In The Serum Of Traffic Police And Their Impact On Heart Disease In The Future, Hanaa Khalil Sacheat

Al-Esraa University College Journal for Medical Sciences

The spread of heavy metals such as lead, cadmium and nickel is a clear danger that threatens the earth and disrupts the ecological balance. In this research, we evaluated the danger of these metals present in the areas of traffic points for traffic policemen who are present for long periods at traffic points. 25 blood samples were collected from traffic policemen present at traffic points, with information about age, date of joining the job, and smoking, The comparison was made with the same number of samples of people who were in a job inside buildings, The results showed a significant …

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Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq Jun 2026

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 …

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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 Jun 2026

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 …

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Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher Jun 2026

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. …

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Crispr/Cas9-Based Genome Editing: Understanding Differences In Dna Repair Pathways, Profiles, And Outcomes, Samuel Effah, Shirley Barrera, Nahia Urturi Ortiz, Will Dampier, Michael Nonnemacher, Brian Wigdahl Jun 2026

Crispr/Cas9-Based Genome Editing: Understanding Differences In Dna Repair Pathways, Profiles, And Outcomes, Samuel Effah, Shirley Barrera, Nahia Urturi Ortiz, Will Dampier, Michael Nonnemacher, Brian Wigdahl

Kimmel Cancer Center Faculty Papers

Over a decade of advances in Clustered Regularly Interspersed Short Palindromic Repeats (CRISPR) and CRISPR-associated protein 9 (Cas9)-based technologies have culminated in the first-ever FDA-approved CRISPR/Cas-based therapy. Aside from this approved therapy for sickle cell anemia, several CRISPR/Cas-based therapies are currently under development or testing for a range of chronic diseases, including viral diseases like human immunodeficiency virus type 1 (HIV-1) infection, genetic diseases like familial hypercholesterolemia, and cancer. The success of these therapies hinges on the effective delivery of CRISPR/Cas9 components to target regions, efficient Cas endonuclease editing, repair profiles generated, and their resulting outcomes. Here, we discuss the …

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Evaluation Of A Vortex Flow Device On A Center Pivot Irrigation System, Ankit Chandra, Derek M. Heeren, Tyler Smith Jun 2026

Evaluation Of A Vortex Flow Device On A Center Pivot Irrigation System, Ankit Chandra, Derek M. Heeren, Tyler Smith

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

This study presents the first independent field evaluation of a passive vortex flow device designed to reduce hydraulic friction in pressurized irrigation systems. Experiments were conducted on a full-scale, groundwater-fed center pivot irrigation system at the Eastern Nebraska Research, Extension, and Education Center (ENREEC). A paired comparison approach was used to quantify differences in flow rate, energy consumption, and pressure distribution along the pivot lateral under baseline (no device) and treatment (device installed) conditions. Results showed negligible change in system flow rate (621 vs. 618 gpm) and energy consumption (~1.2% difference), consistent with expectations for pressure-regulated irrigation systems. However, the …

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Conditionals And Modalities In Constructive Quantum Logics, Juan P. Aguilera, Guillaume Massas Jun 2026

Conditionals And Modalities In Constructive Quantum Logics, Juan P. Aguilera, Guillaume Massas

Mathematics, Physics, and Computer Science Faculty Articles and Research

We investigate logics that generalize both intuitionistic logic and quantum logic. In earlier work, we introduced Ex-logic, an extension of Holliday's fundamental logic that coincides with the intersection of orthologic and the implication-free fragment of intuitionistic logic. In this paper, we add an implication connective to Ex-logic and axiomatize iEx-logic, the intersection of full intuitionistic logic and orthomodular logic with the implication connective interpreted as the Sasaki hook. As a consequence, we obtain a characterization of the lattice of logics extending iEx-logic as the product of the lattice of intermediate logics and the lattice of orthomodular logics. We also explore …

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Operational Risk Assessment Of Ship To Shore Petroleum Transfer Using Fuzzy Rule-Based Bayesian Networks, Ayman F. Alghanmi Jun 2026

Operational Risk Assessment Of Ship To Shore Petroleum Transfer Using Fuzzy Rule-Based Bayesian Networks, Ayman F. Alghanmi

Journal of King Abdulaziz University: Marine Science

Petroleum ports represent critical infrastructure in global energy supply chains, where operational risks during ship-to-shore transfer operations can lead to catastrophic consequences including environmental damage and human casualties. Despite rigorous safety protocols, these facilities remain vulnerable to operational hazards in dynamic maritime environments. This research aimed to develop and apply a hybrid Fuzzy Rule-Based Bayesian Reasoning (FRBBR) model to identify, evaluate, and prioritize operational hazards during crude oil transfer operations at petroleum port berths, with a case study conducted in Saudi Arabia, addressing the challenge of risk assessment where historical data is limited.
The research employed a mixed-methods approach combining …

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Microalgae As Sustainable Biofactories For Bioplastic Production: Challenges And Future Perspectives: A Review, Zahraa Hussein Obaid, Noor S. Naji, Jasim M. Salman, Layla Mustafa A.A. Alkatrani Jun 2026

Microalgae As Sustainable Biofactories For Bioplastic Production: Challenges And Future Perspectives: A Review, Zahraa Hussein Obaid, Noor S. Naji, Jasim M. Salman, Layla Mustafa A.A. Alkatrani

Journal of King Abdulaziz University: Marine Science

The widespread use of traditional plastics, combined with their slow breakdown, has exacerbated environmental and health problems. Therefore, it has become imperative to find alternatives. Due to their simplicity of cultivation, quick growth, tolerance to challenging growing conditions, and low cost, microalgae are being used more frequently as a bio-source for bioplastics lately. Additionally, a variety of biopolymers, including polyhydroxybutyrate, polylactic acid (PLA), starch, polyhydroxyalkanoates (PHA), protein, and cellulose, could be produced by microalgae. These polymers show promising qualities including biodegradability, biocompatibility, and non-toxicity under various cultivation conditions. The purpose of this study is to demonstrate the potential of microalgae …

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Magnetically Treated Water: Enhancing Stocking Density, Water Quality, And Growth In Nile Tilapia (Oreochromis Niloticus), Mortada M. A. Hussein, Ayatollah A. H. Abd-El Said, Asmaa N. Mohammed, Fatma M. M. Korni Jun 2026

Magnetically Treated Water: Enhancing Stocking Density, Water Quality, And Growth In Nile Tilapia (Oreochromis Niloticus), Mortada M. A. Hussein, Ayatollah A. H. Abd-El Said, Asmaa N. Mohammed, Fatma M. M. Korni

Journal of King Abdulaziz University: Marine Science

This study aimed to explore the potential of using magnetic treated water (MTW) to increase stocking densities of growing Nile tilapia, Oreochromis niloticus, in storage, productive, and/or rearing holding facilities with limited mortality and water loss. The experimental period was 12 weeks, with 1500 O. niloticus fingerlings acclimated with maintained water parameters. After acclimation, 1350 were randomly selected and used for experiment setting up, including its triplicates. For each replicate, 225 fingerlings were distributed in three experimental tanks of MTW units as group set A, B and C, each received 50, 75, and 100 fingerlings, respectively. Besides, 225 fingerlings …

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Environmental Assessment Of The Shatt Al-Basra Canal: Petroleum Hydrocarbons, Heavy Metals And Water Quality, Mohammed A. Jasim Aldoghachi, Bassam A. B. Alabdul Aziz, Shurooq Al-Mosawi Jun 2026

Environmental Assessment Of The Shatt Al-Basra Canal: Petroleum Hydrocarbons, Heavy Metals And Water Quality, Mohammed A. Jasim Aldoghachi, Bassam A. B. Alabdul Aziz, Shurooq Al-Mosawi

Journal of King Abdulaziz University: Marine Science

The environmental assessment of the Shatt al-Basra Canal in the area of the regulatory was studied. Petroleum hydrocarbons and heavy elements (cobalt (Co), zinc (Zn), lead (Pb), cadmium (Cd), and chromium (Cr)) in the waters of this area were analyzed. In addition, some water quality characteristics were evaluated (salinity, total dissolved solids (TDS), pH, oxygen, biological oxygen demand (BOD5), chemical oxygen demand (COD), nitrate (NO3-), nitrite (NO2-), phosphate (PO4 -3), and ammonia (NH3). Petroleum hydrocarbons had been recorded in studied area and dominated with medium-chain alkanes, namely decane …

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Impacts Of Coastal Development And Tourism On Fisheries And Aquatic Biodiversity Of The Red Sea: A Review, Lafi S. Al Solami Jun 2026

Impacts Of Coastal Development And Tourism On Fisheries And Aquatic Biodiversity Of The Red Sea: A Review, Lafi S. Al Solami

Journal of King Abdulaziz University: Marine Science

The Red Sea boasts a diverse coastal environment, unique coral reef biodiversity, and fisheries that support rapidly growing marine tourism. Its excellent tourism facilities make it a popular destination. However, intensive tourist activities such as swimming, boating, diving, and fishing have a negative impact on the coastal and marine ecosystem. Additionally, in line with Vision 2030, Saudi Arabia has launched mega projects along the Red Sea coast, increasing tourist activity and leading to human intrusion into critical yet vulnerable marine ecosystems like coral reefs, fish, sea grass beds, and mangrove stands. With the rise in tourism activities and disruptions to …

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Coastal Landforms Analysis Of Al-Kharrar Lagoon And Rabigh Coast Using Aster (Ast_L1t) Imagery, Western Saudi Arabia, Omar A. Alharbi Jun 2026

Coastal Landforms Analysis Of Al-Kharrar Lagoon And Rabigh Coast Using Aster (Ast_L1t) Imagery, Western Saudi Arabia, Omar A. Alharbi

Journal of King Abdulaziz University: Marine Science

The current study sought to examine the coastal geomorphology throughout the entire length of the Al-Kharrar Lagoon, in addition to the coastal region of Rabigh City, situated on the western coast of Saudi Arabia. The mechanisms underlying the formation of the wide variety of natural land features were also studied. These include sandy, pebble and rocky beaches and sand dunes; intertidal areas; salt flats (sabkhas) and marshes; elevated, terraced or fringing coral reefs; water inlets; and the deposition of terrigenous or alluvial materials, all reflecting the swift transformation that has impacted the region. Evaluation of the ASTER (AST_L1T) data enabled …

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Multi-Label Seabed Image Classification: A Comparative Study Of Deep Learning And Machine Learning Models, Anis Bel Hadj Hassin, Elyes Omri Jun 2026

Multi-Label Seabed Image Classification: A Comparative Study Of Deep Learning And Machine Learning Models, Anis Bel Hadj Hassin, Elyes Omri

Journal of King Abdulaziz University: Marine Science

This study evaluates the effectiveness of deep learning and machine learning models for classifying seabed images into three ecologically significant categories: algae, rocks, and sand. We investigated five models: ResNet50, VGG16, a custom-designed convolutional neural network (CNN), support vector machines (SVM), and random forests (RF). Deep learning models were fine-tuned on 1259 seabed images, with the custom CNN architecture optimized using depthwise separable convolutions and global average pooling. For SVM and RF, features were extracted using a pre-trained VGG16 network. Class weighting was applied to address potential imbalances in the dataset. The custom CNN achieved the highest validation accuracy (82.01%), …

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Students’ Writing Mindset And Grit: Influences Of Nationality, Academic Track, And Gender, John George Pastor, Ma. Joahna Mante-Estacio Jun 2026

Students’ Writing Mindset And Grit: Influences Of Nationality, Academic Track, And Gender, John George Pastor, Ma. Joahna Mante-Estacio

Journal of English and Applied Linguistics

Senior high school (SHS) students in the Philippines are required to produce various academic papers that adhere to the properties of well-written texts. However, studies found that SHS students encounter difficulties with writing across a variety of content and ideas, vocabulary, diction, sentence and paragraph structures, language usage, and referencing (Pablo et al., 2018; Urbano et al., 2021). Despite these concerns, they are expected to persevere and show interest in improving their writing skills. In this context, this quantitative-descriptive study aimed to analyze the potential influences of sociocultural factors on the writing mindset and grit of the SHS students in …

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Addressing Data Scarcity In Malware Classification Via Pixel-Level Synthetic Image Generation, Mounika Krishna Teja Karumudi, Fabio Di Troia Jun 2026

Addressing Data Scarcity In Malware Classification Via Pixel-Level Synthetic Image Generation, Mounika Krishna Teja Karumudi, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Deep learning-based malware classification using image representations has emerged as a highly effective paradigm for threat detection. However, training robust neural networks is frequently bottlenecked by data scarcity and severe class imbalances in real-world repositories. This study investigates the viability of using an autoregressive PixelCNN framework to synthesize high-fidelity, class-specific malware images to augment limited training distributions. Utilizing the benchmark Malimg dataset, we systematically evaluate a Convolutional Neural Network (CNN) classifier across varying ratios of synthetic-to-authentic data under strict data scarcity constraints (ranging from 10 to 80 authentic samples per family). Our experimental results reveal that while PixelCNN successfully replicates …

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