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Articles 4201 - 4230 of 715167
Full-Text Articles in Entire DC Network
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 …
Solar-Assisted Thermal Integration For Improving Fuel Pumping Efficiency In The Middle Oil Distribution Company – Karbala Depot, Ali Shakir Hial
Solar-Assisted Thermal Integration For Improving Fuel Pumping Efficiency In The Middle Oil Distribution Company – Karbala Depot, Ali Shakir Hial
Al-Esraa University College Journal for Engineering Sciences
This paper discusses how a solar-assisted thermal heating system can be incorporated to enhance the efficiency of fuel pumping at the Karbala Fuel Depot which is managed by the Middle Oil Distribution Company in Iraq. The aim of the system is to partially pre-heat diesel before pipeline transfer and hence minimizing losses in pressure caused by viscosity and saving electrical power consumed during pumping operations. The test is a combination of field tests, thermal performance modeling, and thermal flow analysis using CFD to capture the interaction between temperature, fuel rheology and pump load behaviour. It was proven that the stratified …
Pintarin.Edu Application: Assessment Platform As A Complementary Learning Material For The Teaching Principles And Assessment I And Ii Courses, Hayuni Retno Widarti, Munzil Munzil, Raden Bambang Sumarsono, Richa Nan Maharani, Juwita Karina Pratiwi, Deni Ainur Rokhim
Pintarin.Edu Application: Assessment Platform As A Complementary Learning Material For The Teaching Principles And Assessment I And Ii Courses, Hayuni Retno Widarti, Munzil Munzil, Raden Bambang Sumarsono, Richa Nan Maharani, Juwita Karina Pratiwi, Deni Ainur Rokhim
Jurnal Pembelajaran Sains
This study aims to design, develop, and launch the Pintarin.Edu application as a lifelong learning-based assessment medium to support the Principles of Teaching and Assessment I and II courses for prospective professional teachers (PPG) students. The innovation of this research lies in the integration of reflective assessment, continuous feedback, interactive discussion features, automatic post-tests, rubric-based task management, and Classroom Action Research (CAR) progress monitoring in one structured digital platform. This study uses a 4D development model (Define, Design, Develop, Disseminate) which includes needs analysis, feature design and development, product validation and revision, and trial and implementation. Validation was carried out …
Full Issue (Volume 5, Issue 1): Critical Discourses, Pedagogical Innovations, And Sociocultural Perspectives In Applied Linguistics
Journal of English and Applied Linguistics
Abstract not applicable.
Creative Constructions In Asian And World Englishes - And What They Teach Us, Edgar W. Schneider
Creative Constructions In Asian And World Englishes - And What They Teach Us, Edgar W. Schneider
Journal of English and Applied Linguistics
"Creative constructions" are defined as patterns which deviate slightly but noticeably from grammatical, fully licensed structures in English (and are therefore sometimes branded as "wrong"), inviting specific cognitive associations to make sense of them. It is argued that such structures offer a window into the nature of the cognitive manipulation of linguistic innovations and change. The concept is related to creativity in literature and lingua franca English, and it is surveyed theoretically by asking how established grammatical theories (like traditional grammar, structuralism or generativism) or more recent approaches to the nature of grammar (usage-based linguistics, construction grammar, and complex systems …
Combination Of Using Chatgpt And Quizlet To Learn Vocabulary: A Study Of Learners’ Perceptions, Uyên Tràn Như Lê, Huyen Diem Bich Bui
Combination Of Using Chatgpt And Quizlet To Learn Vocabulary: A Study Of Learners’ Perceptions, Uyên Tràn Như Lê, Huyen Diem Bich Bui
Journal of English and Applied Linguistics
Although vocabulary learning is essential for reading comprehension, many students encounter challenges in personalizing their learning due to limited access to supportive tools or techniques. The integration of digital learning platforms and artificial intelligence (AI) offers new possibilities for addressing this issue. The combination of Quizlet and ChatGPT 5.0 (free version) provides a promising solution for vocabulary learning. However, there remains limited research, especially in Vietnam, on how students perceive AI-assisted vocabulary learning. This study examines how 107 pre-intermediate-level non-majors at a university in Ho Chi Minh City perceive the combination of Chat GPT and Quizlet for vocabulary learning in …
Global Trends And Research Landscape Of Metformin And Artificial Intelligence: Bibliometric Analysis, Raya Doraid Mohammed, Alaa Qasim Hayder, Hamza A. Saadallah, Ali Q Saeed, Alice Louis Yousif, Safa M Salim, Noor Mahmood Sultan, Mohammed Ahb. Al-Krdoshi
Global Trends And Research Landscape Of Metformin And Artificial Intelligence: Bibliometric Analysis, Raya Doraid Mohammed, Alaa Qasim Hayder, Hamza A. Saadallah, Ali Q Saeed, Alice Louis Yousif, Safa M Salim, Noor Mahmood Sultan, Mohammed Ahb. Al-Krdoshi
Al-Esraa University College Journal for Medical Sciences
This bibliometric study examines global research trends and key thematic areas in Artificial Intelligence (AI) applications related to Metformin, especially in diabetes treatment. A total of 227 articles were retrieved from the Science Citation Index Expanded (Web of Science Core Collection) from 2020 to 2024. VOSviewer and CiteSpace were used to analyze publications by year, country, institution, journal, citation impact, and keyword co-occurrence. The United States, Canada, and South Korea contributed over 85% of the output, with leading institutions including the University of California, Los Angeles. Keyword mapping identified ``machine learning,'' ``Metformin,'' and ``Type 2 Diabetes'' as the most influential …
Greenhouse Gas Emissions Disclosure On Firm Value And Financial Performance In Eu-Ets Member Countries, Retta Farah Pramesti, Memed Sueb
Greenhouse Gas Emissions Disclosure On Firm Value And Financial Performance In Eu-Ets Member Countries, Retta Farah Pramesti, Memed Sueb
Jurnal Akuntansi dan Keuangan Indonesia
Background: Climate change and regulatory frameworks such as the European Union Emission Trading System (EU ETS) have increased pressure on firms to manage and disclose greenhouse gas (GHG) emissions. However, the financial and market consequences of GHG emissions and disclosure remain debated. Method: This study employs a quantitative causal-comparative design using secondary data from the Refinitiv database for 2015–2024. The sample consists of 2,315 European firms participating in the EU ETS. Regression analysis is conducted to examine the effects of GHG emissions and their disclosure on firm value, return on assets (ROA), and return on equity (ROE), with firm size …
A Mathematical Model For Managing Diphtheria Outbreaks In Nigeria Via Vaccination, Enhanced Surveillance, Effective Quarantine, And Social Distancing Measures, Hycienth Ortser Orapine, Nyiutya Cephas Ine, Dekera Jacob Washachi, Ali Audu Baidu, Lubem Matthew Kwaghkor
A Mathematical Model For Managing Diphtheria Outbreaks In Nigeria Via Vaccination, Enhanced Surveillance, Effective Quarantine, And Social Distancing Measures, Hycienth Ortser Orapine, Nyiutya Cephas Ine, Dekera Jacob Washachi, Ali Audu Baidu, Lubem Matthew Kwaghkor
Mathematical Modelling and Numerical Simulation with Applications
Diphtheria is a highly infectious respiratory and skin disease that poses a significant threat to global public health. In Nigeria, children and adults with low immunity remain at high risk due to recurring annual outbreaks in the last decade, with a death rate of as high as 68.8\%. This paper presents a deterministic compartmental model to evaluate the effectiveness of interventions implemented by the Nigerian government. The model's mathematical and epidemiological validity is established through proofs of non-negativity and boundedness. The basic reproduction number ($R_0$) is derived, and stability analysis confirms that the diphtheria-free equilibrium is locally and globally asymptotically …
Problem-Based Learning In Mackay Medical University: Improvement From Student-Initiated Assessment, I-Ling Huang, Yi-Chieh Cheng, Chao-Feng Lin
Problem-Based Learning In Mackay Medical University: Improvement From Student-Initiated Assessment, I-Ling Huang, Yi-Chieh Cheng, Chao-Feng Lin
Journal of Medical Education
Statement of purpose: In Problem-Based Learning (PBL), aligning student self-directed inquiry with intended curricular objectives is critical yet challenging to assess. This study introduces a novel assessment method using keyword identification to quantify the cognitive alignment between medical students and case writers. We aimed to analyze learning discrepancies and students' performance trajectories to inform curriculum refinement.
Methods of study: A mixed cross-sectional and longitudinal study was conducted at MacKay Medical University over three consecutive semesters (November 2023–December 2024). Junior and senior medical students completed anonymous questionnaires, submitting five keywords post-course to represent perceived learning objectives. Student responses were compared against …
A Tale Of Two Policy Regimes: A Comparative Analysis Of Migrants’ School-To-Work Transition In Hong Kong And Taiwan, Pakorn Phalapong
A Tale Of Two Policy Regimes: A Comparative Analysis Of Migrants’ School-To-Work Transition In Hong Kong And Taiwan, Pakorn Phalapong
Asia-Pacific Social Science Review
Foreign professionals have been frequently viewed as a remedy for labor shortages and as catalysts for economic development, prompting many governments—including Hong Kong and Taiwan—to facilitate their immigration for education and employment. Consequently, this study endeavors to identify a general pattern and plausible conditions that underpin the promotion of school-to-work transition policy regimes in a migration context. Using case-based analysis and the Most Different Systems Design (MDSD), secondary data were collected for the analysis. The findings reveal that, despite markedly differing political systems, both jurisdictions adopted a school-to-work policy regime in response to comparable conditions: the demographic changes, the influx …
The Next Frontier In Network Security: A Comprehensive Review On Few-Shot Learning For Intrusion Detection, Ayman Bamarshad, Morched Derbali, Tarig Mohamed Ahmed, Mutasem Jarrah
The Next Frontier In Network Security: A Comprehensive Review On Few-Shot Learning For Intrusion Detection, Ayman Bamarshad, Morched Derbali, Tarig Mohamed Ahmed, Mutasem Jarrah
Journal of King Abdulaziz University: Computing and Information Technology Sciences
The use of Intrusion Detection Systems (IDS) is fundamental to the protection of contemporary networks which are increasingly vulnerable to sophisticated and evolving cyber-attacks and within environments that do not possess labeled data and where attacks are appearing for the first time. Often, previous IDS approaches are sub-performers as they generally rely on larger amounts of labeled data or static signature sets, especially in the context of zero-day attacks or rare events. This Systematic Literature Review (SLR) examines the deployment of Few-Shot Learning (FSL) as a novel approach to counter these limitations. This review offers a systematic review of over …
The Key Ict Determinant Of Sustainable Educational Changes, Ikhlas Fuad Zamzami
The Key Ict Determinant Of Sustainable Educational Changes, Ikhlas Fuad Zamzami
Journal of King Abdulaziz University: Computing and Information Technology Sciences
The transition from traditional to technology-enhanced education varies across countries, and research has primarily focused on how information and communication technology (ICT) has merged with and transformed educational systems. To provide a thorough understanding of this educational transformation, scholars have employed diverse frameworks thus far. In this study, the DEMATEL (decision-making trial and evaluation laboratory) method was used to identify the most crucial factor of sustainable educational reforms in the field of information and communication technology (ICT). In the process of conceptualizing and evaluating sustainable educational advancements, 10 characteristics are used as criteria to assess the major determinant of sustainable …
Immersive Virtual Reality For Enhancing Learning Of Transport Phenomena In Undergraduate Chemical Engineering, Muhammad Nawaz, Afiq Mohd Laziz, Kok Keong Lau, Bawadi Abdullah, Ratri Rahmawati
Immersive Virtual Reality For Enhancing Learning Of Transport Phenomena In Undergraduate Chemical Engineering, Muhammad Nawaz, Afiq Mohd Laziz, Kok Keong Lau, Bawadi Abdullah, Ratri Rahmawati
Platform: A Journal of Engineering (PAJE)
```python text = """As experiential learning becomes more central to engineering education, immersive technologies such as virtual reality (VR) are emerging as transformative tools for delivering abstract and spatially intensive subjects. This study investigates the effectiveness of a custom-designed VR for enhancing student understanding of transport phenomena (TP) concepts in undergraduate chemical engineering education. A mixed-method evaluation involving 160 students from the Chemical Engineering Department, Universiti Teknologi PETRONAS (UTP), Malaysia, was conducted using pre\x02and post-intervention surveys. Likert-scale ratings and word cloud analyses were used to assess perceived conceptual gains, usability, engagement, and perceived instructional value. Findings reveal that 85.6% of …
Principal Leadership As A Predictor Of Teacher Performance: Evidence From An Indonesian Elementary School, Irminapinem Pinem, Antonius Remigius Abi, Hamela Sari Sitompul
Principal Leadership As A Predictor Of Teacher Performance: Evidence From An Indonesian Elementary School, Irminapinem Pinem, Antonius Remigius Abi, Hamela Sari Sitompul
Jurnal Pendidikan Sains
Teacher performance is a critical determinant of educational quality and student achievement, making the identification of factors that influence teacher effectiveness an important area of educational research. Among these factors, principal leadership has been recognized as a key organizational variable that shapes teachers’ professional practices and instructional performance. This study aimed to examine the relationship between principal leadership and teacher performance at State Elementary School Raya Kahean, Simalungun Regency, Indonesia. The study employed a quantitative correlational research design involving 52 teachers selected through total sampling. Data were collected using two structured questionnaires measuring principal leadership and teacher performance. The principal …
Comparing The Effects Of Project-Based Learning, Inquiry Learning, And Conventional Instruction On Students' Learning Motivation In Biology, Yeyen Angraini, Irwandi Irwandi, Jayanti Syahfitri
Comparing The Effects Of Project-Based Learning, Inquiry Learning, And Conventional Instruction On Students' Learning Motivation In Biology, Yeyen Angraini, Irwandi Irwandi, Jayanti Syahfitri
Jurnal Pendidikan Sains
Learning motivation is an important factor influencing students’ engagement, persistence, and success in Biology learning. However, classroom instruction at the senior high school level is often dominated by teacher-centered approaches, which may limit students’ active participation and motivational development. This study aimed to compare students’ learning motivation across Project-Based Learning (PjBL), Inquiry Learning, and conventional instructional approaches in Biology learning. The study employed a quantitative quasi-experimental design with a pretest–posttest approach involving three groups. Participants consisted of 85 Grade XI students from SMA Negeri 1 Talang Padang, South Sumatra, distributed across three classes: PjBL (n = 28), Inquiry (n = …
The Effect Of Emotional Intelligence And Logical-Mathematical Intelligence On Students’ Mathematical Problem-Solving Ability, Zulkyfli Siduppa, Sutji Rochaminah, Muh Hasbi, Dasa Ismaimuza
The Effect Of Emotional Intelligence And Logical-Mathematical Intelligence On Students’ Mathematical Problem-Solving Ability, Zulkyfli Siduppa, Sutji Rochaminah, Muh Hasbi, Dasa Ismaimuza
Jurnal Pendidikan Sains
Mathematical problem-solving ability is an essential competency in mathematics education because it supports students’ reasoning, critical thinking, and decision-making skills. This study aimed to examine the influence of emotional intelligence and logical-mathematical intelligence on the mathematical problem-solving ability of Grade XII students at SMA Negeri 1 Tolitoli. The study employed a quantitative survey design involving 143 students from the Mathematics and Natural Sciences (MIPA) program during the 2023/2024 academic year. Data were collected using an emotional intelligence questionnaire, a logical-mathematical intelligence questionnaire, and a mathematical problem-solving test on algebraic function limits. All instruments were validated and demonstrated satisfactory reliability, with …
The Development Of An In Silico Vaccine Design-Based E-Module To Improve Students' Biological Literacy, Qairinasherin Qwine Ferendi, Rusdi Rusdi, Hanum Isfaeni
The Development Of An In Silico Vaccine Design-Based E-Module To Improve Students' Biological Literacy, Qairinasherin Qwine Ferendi, Rusdi Rusdi, Hanum Isfaeni
Jurnal Pendidikan Sains
Low levels of biological literacy among students, particularly in biotechnology, highlight the need for innovative digital learning media that facilitate meaningful and contextual learning experiences. This study aimed to develop and evaluate an interactive biotechnology e-module based on in silico vaccine design to improve students’ biological literacy. The study employed Educational Design Research (EDR) using the Hannafin and Peck model, which consists of three phases: needs assessment, development, and implementation. The participants included 73 tenth-grade science students and one biology teacher from SMAN 68 Jakarta, Indonesia. The e-module was developed using Canva and Heyzine to create an interactive flipbook integrating …
Lymphovascular Invasion (Lvi) In Ovarian Epithelial Cancer: A Determinant Of Figo 2014 Stage, Intan Septia. J, Aswiyanti Asri, Puja Agung Antonius, Shinta Ayu Intan, Almurdi Almurdi
Lymphovascular Invasion (Lvi) In Ovarian Epithelial Cancer: A Determinant Of Figo 2014 Stage, Intan Septia. J, Aswiyanti Asri, Puja Agung Antonius, Shinta Ayu Intan, Almurdi Almurdi
Folia Medica Indonesiana
Ovarian epithelial cancer is an ovarian malignancy with the highest mortality rate in gynecologic oncology. Its incidence increases after the age of 50 and is associated with various risk factors. Carcinogenesis is driven by factors such as incessant ovulation, gonadotropin stimulation, and postmenopausal hormonal fluctuations. These factors cause DNA damage in ovarian epithelial cells through specific molecular pathways, resulting in diverse histopathological types and subtypes. Furthermore, the disease's progression and staging are significantly impacted by its pathways of spread via blood vessels and lymphatics known as LVI (Lymphovascular Invasion). This study employed a comparative observational analytical design with a cross-sectional …
Comparative Screening Of Cytotoxic Potential Of Berberis Aristata And Senna Alexandrina Extracts, Rida Noor Akhtar, Javaria Zahoor, Rizwan Ullah Khan, Aziz Ullah, Naila Malkani
Comparative Screening Of Cytotoxic Potential Of Berberis Aristata And Senna Alexandrina Extracts, Rida Noor Akhtar, Javaria Zahoor, Rizwan Ullah Khan, Aziz Ullah, Naila Malkani
Journal of Bioresource Management
Medicinal plants provide a safe and efficient source of drugs for cancer treatment. Berberis aristata and Senna alexandrina are traditionally used to treat several ailments because they contain compounds with antimicrobial, antitoxic, anti-inflammatory, and other properties. The objective of the study was to prepare crude ethanolic extracts of B. aristata and S. alexandrina and to determine their cytotoxic potential against cancer cells. Ethanolic extracts were prepared for both plants. Hepatocellular carcinoma cells (HepG2) were used for all assays. The cytotoxicity of extracts was determined by 3‑(4,5‑Dimethylthiazol‑2‑yl)‑2,5‑diphenyltetrazolium bromide (MTT) assay using various concentrations of extracts. The obtained sub-lethal concentrations were used …
Hydroclimatic Whiplash Across The Contiguous United States: Characterizing Wet–Dry Transitions In Pdsi And Phdi, James Lam, Thomas Christopher Piechota
Hydroclimatic Whiplash Across The Contiguous United States: Characterizing Wet–Dry Transitions In Pdsi And Phdi, James Lam, Thomas Christopher Piechota
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Hydroclimatic whiplash, characterized by rapid transitions between wet and dry conditions, poses a growing challenge for water resource management and ecosystem stability. However, the spatial and statistical characteristics of wet–dry transitions across the contiguous United States are not fully understood. This study analyzed Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) records from 344 NOAA climate divisions spanning 1895–2024. Whiplash was defined as a transition between severe drought and severe wetness within 12-month rolling windows. Statistical descriptors including lag-1 autocorrelation, variance, and skewness were evaluated for whiplash and non-whiplash windows to assess differences between them. Whiplash hotspots …
Conditionals And Modalities In Constructive Quantum Logics, Juan P. Aguilera, Guillaume Massas
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 …
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 …
Performance Evaluation Of Multi-Stage Compressors And Their Impact On Energy Conversion System Efficiency `A Field Study At Thi-Qar Oil Company', Taha Chyad Thajeel
Performance Evaluation Of Multi-Stage Compressors And Their Impact On Energy Conversion System Efficiency `A Field Study At Thi-Qar Oil Company', Taha Chyad Thajeel
Al-Esraa University College Journal for Engineering Sciences
This paper is a field-based performance assessment of a multi-stage natural gas compressor that is operating in realistic industrial conditions. The data is analyzed using the real operating data taken in a particular oil and gas plant and, therefore, the actual operating data is used to determine the trends of thermodynamic behavior, energy consumption, and efficiency, instead of theoretical or simulation-based assumptions. The analysis was performed phase by phase in order to examine the distribution of pressure ratios, temperature increase and power consumption in the compressor stages. The findings demonstrate that there is a significant difference between the power of …
Experimental Analysis Of Thermal - Hydraulic Enhancement In A Shell-And-U-Tube Heat Exchanger Using Copper Foam Baffles, Rawaa Hussein Al-Meammar
Experimental Analysis Of Thermal - Hydraulic Enhancement In A Shell-And-U-Tube Heat Exchanger Using Copper Foam Baffles, Rawaa Hussein Al-Meammar
Al-Esraa University College Journal for Engineering Sciences
Porous metal foams have emerged as a promising medium for thermal management due to their high surface area, low density, and excellent thermal conductivity. This study investigates the effect of copper porous foam baffles with different pore densities (5 and 10 PPI) on the thermal and hydraulic performance of a shell-and-U-tube water–water heat exchanger. An experimental setup was developed to evaluate the Nusselt number, heat transfer coefficient, pressure drop, and friction factor over a range of Reynolds numbers across the annular side. The results revealed that incorporating porous metal foam significantly enhanced heat transfer compared with the smooth-tube configuration. At …
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 …
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
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 …
Addressing Data Scarcity In Malware Classification Via Pixel-Level Synthetic Image Generation, Mounika Krishna Teja Karumudi, Fabio Di Troia
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 …
Assessment Of Serum Cytokeratin-18 And Aminotransferase Ratio As Indicators Of Progression Of Liver Fibrosis In Type 2 Diabetes Patients, Anfal Oudah Ali, Shatha Hamed Jwaid, Wajeeh Kachi Obead
Assessment Of Serum Cytokeratin-18 And Aminotransferase Ratio As Indicators Of Progression Of Liver Fibrosis In Type 2 Diabetes Patients, Anfal Oudah Ali, Shatha Hamed Jwaid, Wajeeh Kachi Obead
Al-Nisour Journal for Medical Sciences
Non-alcoholic Fatty Liver Disease and Type 2 Diabetes mellitus are closely linked metabolic disorders related with worsening of liver injury and fibrosis. The current study aimed to asses' serum cytokeratin 18 and aminotransferase ratio as indicators of liver fibrosis progression in patients with T2DM and NAFLD. The study was conducted involving 180 participants aged range between (40–70) years old. The contributors were divided into four groups. Auto Chemistry Analyzer Cobas C311 was used to measure serum AST, ALT, ALP, FBS. Sandwich enzyme-linked immunosorbent assay was used to measure serum CK18 and insulin. AST/ALT ratio was calculated mathematically. A significant difference …