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Full-Text Articles in Engineering

Black Box Modeling Of Hvcb: A Comparative Approach, Raghdaa Elbahy, Ahmed Abdelbaset, Mahmoud Hammoda, Mansour H. Abdel-Rahman, Ebrahim A. Badran Jun 2024

Black Box Modeling Of Hvcb: A Comparative Approach, Raghdaa Elbahy, Ahmed Abdelbaset, Mahmoud Hammoda, Mansour H. Abdel-Rahman, Ebrahim A. Badran

Mansoura Engineering Journal

The extinction of an electric arc is a multifaceted process influenced by electric, magnetic, thermodynamic, and chemical phenomena. Black box models provide a mathematical depiction of the electrical characteristics of the arc. Although these models do not offer a complete explanation of the physical processes within a circuit breaker, they effectively describe its electric behavior. This study explores the modeling of electric arcs and the analysis of high-voltage circuit breakers using black box models such as Cassie, Mayr, and Schavemaker. To represent the circuit breaker model in ATPdraw, a customized MODELS block was employed. The paper presents a comparative evaluation …

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Embracing The Irreplaceable: The Role Of Neurodiversity In Cultivating Human-Ai Symbiosis In Education, Piper Hutson Jun 2024

Embracing The Irreplaceable: The Role Of Neurodiversity In Cultivating Human-Ai Symbiosis In Education, Piper Hutson

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

This study investigates the indispensable role of human skills—such as empathy, ethical judgment, and nuanced understanding—in the development and application of artificial intelligence (AI) within higher education, highlighting the unique contributions of neurodivergent perspectives in creating a symbiotic human-AI relationship. Drawing upon research that evidences the superior performance of diverse teams in creativity and innovation, the paper argues for the integration of neurodiversity into AI development as a means to address the philosophy of 'fearing the Other,' thereby mitigating biases and fostering ethical AI interactions. The technology sector's adoption of Diversity, Equity, and Inclusion (DEI) programs, including biopsychosocial interventions and …

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Monetary Condition Index And Its Relation With Other Macroeconomic Variables: An Empirical Study In Selected Mena Countries, Jinan Jihad Kassem May 2024

Monetary Condition Index And Its Relation With Other Macroeconomic Variables: An Empirical Study In Selected Mena Countries, Jinan Jihad Kassem

BAU Journal - Creative Sustainable Development

This article aims to construct a monetary condition index (MCI) for five countries in the MENA region, namely Algeria, Bahrain, Egypt, Jordan, and Morocco, in order to interpret the stance of monetary policy in these countries. A broad MCI has been constructed by combining two transmission channels of monetary policy, the real interest rate and the real effective exchange rate, along with bank credit to the private sector. These three indicators of the monetary conditions are collected for these countries over the period 1995–2020 for all countries except for Bahrain, which has data from 1995 to 2015. Principal component analysis …

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Using Chatgpt With Novice Arduino Programmers: Effects On Performance, Interest, Self-Efficacy, And Programming Ability, Donald M. Johnson, Will Doss, Christopher M. Estepp May 2024

Using Chatgpt With Novice Arduino Programmers: Effects On Performance, Interest, Self-Efficacy, And Programming Ability, Donald M. Johnson, Will Doss, Christopher M. Estepp

Journal of Research in Technical Careers

A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n =17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming, Arduino programming self-efficacy, Arduino programming posttest scores, and types of programming errors. Students were undergraduates in an introductory agricultural systems technology course in Fall 2023. The results indicated no significant (p < .10) differences between groups for programming rubric scores (p = .50) or interest in Arduino programming (p = .50). There were significant differences for Arduino programming self-efficacy, (p = .03, Cohen’s d = 0.75) and Arduino posttest scores, (p = .03, Cohen’s d = 0.76); students in the self-programming group scored significantly higher on both measures. Analysis of students’ errors indicated the ChatGPT group made significantly (p < .01) more program punctuation errors. These results indicated novice students writing their own programs developed greater Arduino programming self-efficacy and programming ability than novice students using ChatGPT. Nevertheless, ChatGPT may still play an important role in assisting novices to write microcontroller programs.

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Anti-Phishing Approach For Iot System In Fog Networks Based On Machine Learning Algorithms, Mahmoud Gad Awwad, Mohamed M. Ashour, El Said A. Marzouk, Eman Abdelhalim Mar 2024

Anti-Phishing Approach For Iot System In Fog Networks Based On Machine Learning Algorithms, Mahmoud Gad Awwad, Mohamed M. Ashour, El Said A. Marzouk, Eman Abdelhalim

Mansoura Engineering Journal

As the Internet of Things (IoT) continues to expand, ensuring the security and privacyِ of IoT systems becomes increasingly critical. Phishing attacks pose a significant threat to IoT devices and can lead to unauthorized access, data breaches, and compromised functionality. In this paper, we propose an anti-phishing approach for IoT systems in fog networks that leverages machine learning algorithms, including a .fusion with deep learning techniques We explore the effectiveness of eleven traditional machine learning algorithms combined with deep learning in detecting and preventing phishing attacks in IoT systems. By utilizing a diverse range of algorithms, we aim to enhance …

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Effect Of Initial Crack Length, Cross-Head Speed, And Quenching On The Fracture Toughness Of Hdpe With And Without Uv Stabilizers, A. Koriem, R. Singer, A. M. Ollick, M. Elhadary Mar 2024

Effect Of Initial Crack Length, Cross-Head Speed, And Quenching On The Fracture Toughness Of Hdpe With And Without Uv Stabilizers, A. Koriem, R. Singer, A. M. Ollick, M. Elhadary

Mansoura Engineering Journal

In materials science and engineering, understanding the fracture toughness of polymers is essential for ensuring the reliability and safety of various applications. This paper delves into the properties of high-density polyethylene (HDPE), a widely utilized polymer known for its versatility and durability. Fracture toughness, denoting a material's resistance to crack propagation, serves as a critical parameter in assessing the structural integrity of HDPE. The investigation focuses on unraveling the intricate interplay of factors influencing fracture toughness, with particular emphasis on crosshead speed, initial crack length, and the transformative effects of quenching. By exploring the relationships between these variables, our study …

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Western Science And Eastern Zen To Seek The Origin Of Truth: Philosophical Background Of Scale Modeling, Kozo Saito Mar 2024

Western Science And Eastern Zen To Seek The Origin Of Truth: Philosophical Background Of Scale Modeling, Kozo Saito

Progress in Scale Modeling, an International Journal

This article was written to introduce philosophical background of scale modeling, where Zen philosophy was applied to overcome the limitation of logical thinking and hypotheses-driven deductive science. Three specific reasons are as follows. The first is related to the law approach in scale modeling; it uses the kufu principle, originated in Zen Buddhism, together with the other three scientific methods: experimental, theoretical, and computational. The second reason is because scale modeling seeks relativistic understanding by attempting to realize similarity; the concept is closer to Eastern philosophy rather than absolute understanding cultivated by deductive science. The third is in the educational …

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How Can Generative Ai (Genai) Enhance Or Hinder Qualitative Studies? A Critical Appraisal From South Asia, Nepal, Niroj Dahal Mar 2024

How Can Generative Ai (Genai) Enhance Or Hinder Qualitative Studies? A Critical Appraisal From South Asia, Nepal, Niroj Dahal

The Qualitative Report

Qualitative researchers can benefit from using generative artificial intelligence (GenAI), such as different versions of ChatGPT—GPT-3.5 or GPT-4, Google Bard—now renamed as a Gemini, and Bing Chat—now renamed as a Copilot, in their studies. The scientific community has used artificial intelligence (AI) tools in various ways. However, using GenAI has generated concerns regarding potential research unreliability, bias, and unethical outcomes in GenAI-generated research results. Considering these concerns, the purpose of this commentary is to review the current use of GenAI in qualitative research, including its strengths, limitations, and ethical dilemmas from the perspective of critical appraisal from South Asia, Nepal. …

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Effects Of Redrying Methods On The Milling Potential, Crude Protein And Total Phenolic Content, And Antioxidant Activity Of Stored Inorganic And Organically-Grown Paddy, Mary Ann Baradi, Jessica Solero, Clarence Dangcil, Gerome Corpuz, Marissa Romero Mar 2024

Effects Of Redrying Methods On The Milling Potential, Crude Protein And Total Phenolic Content, And Antioxidant Activity Of Stored Inorganic And Organically-Grown Paddy, Mary Ann Baradi, Jessica Solero, Clarence Dangcil, Gerome Corpuz, Marissa Romero

The Philippine Agricultural Scientist

This study sought to determine the effects of redrying techniques (no redrying or Control, 2-h, 4-h, and 6-h redrying with stirring every 30 min, Farmer's Practice or 6-h redrying with one stirring) on grain quality of stored inorganic and organic paddy rice as well as the redrying method that gives the best quality rice. PSB Rc82 rice harvested in October 2016 was used in the experiment conducted in February 2017. Quality parameters evaluated were moisture content, brown rice, total milled rice, crude protein content in percent, total phenolic content, and 2-2 diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity. PSB Rc82 paddy exposed …

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Retraction Of Numerical Modeling Of An L-Shaped Very Stiff Concrete Retaining Wall, Mej Editorial Board Feb 2024

Retraction Of Numerical Modeling Of An L-Shaped Very Stiff Concrete Retaining Wall, Mej Editorial Board

Mansoura Engineering Journal

This is a Retraction note

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History Of Clover Leaf Syndrome, Isabella Perez Feb 2024

History Of Clover Leaf Syndrome, Isabella Perez

Mako: NSU Undergraduate Student Journal

The purpose of this paper is to summarize the history of clover leaf syndrome and describe the newest advancements made to treat it. Clover leaf syndrome is more formally referred to as Kleeblattschadel syndrome. Information was gathered from several scholarly, peer-reviewed articles, and was condensed down into the key takeaways. This syndrome impacts the formation of the skull due to premature fusion of its sutures, creating a tri-lobar skull that resembles a clover leaf. This premature fusion is referred to as a type of craniosynostosis and has been linked to causing several other health complications ranging in severity. This is …

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Tree Localization In A Plantation Using Ultra Wideband Signals, Akshat Verma Jan 2024

Tree Localization In A Plantation Using Ultra Wideband Signals, Akshat Verma

The Journal of Purdue Undergraduate Research

No abstract provided.

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Love Machina, John C. Lyden Jan 2024

Love Machina, John C. Lyden

Journal of Religion & Film

This is a film review of Love Machina (2024), directed by Peter Sillen.

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Acknowledgment Note Jan 2024

Acknowledgment Note

Mansoura Engineering Journal

No Abstract

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Application Of Machine Learning Models In The Capacity Prediction Of Ccfst Columns, Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou Jan 2024

Application Of Machine Learning Models In The Capacity Prediction Of Ccfst Columns, Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou

Mansoura Engineering Journal

Circular concrete-filled steel tubular (CCFST) columns are widely utilized in structural engineering due to their impressive load-bearing capabilities and ductility. Existing design standards often yield disparate outcomes when applied to structural columns with identical properties, introducing uncertainty for engineering designers. This study introduces an innovative technique to address these challenges using two machine learning (ML) models: Gaussian process regression (GPR) and extreme gradient boosting (XGBoost). These models consider various input variables, including the geometric and material properties of CCFST columns, to estimate the compressive strength. The models undergo training and evaluation using two datasets comprising 1004 axially loaded CCFST columns …

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Numerical And Analytical Solution For Nonlinear Free Vibration Of Tapered Beams, Zain Abu Shaeer Abu Shaeer, Ramy I. Shahin, Galal I. El-Baghdady, Saad A. Yehia Jan 2024

Numerical And Analytical Solution For Nonlinear Free Vibration Of Tapered Beams, Zain Abu Shaeer Abu Shaeer, Ramy I. Shahin, Galal I. El-Baghdady, Saad A. Yehia

Mansoura Engineering Journal

This study introduces a computational approach that combines numerical and semi-analytical methods to solve tapered beams' nonlinear free vibration equation. The study employs a numerical approach that relies on the cubic B-spline collocation method and an approximation technique known as the Homotopy perturbation method to approximate the solution to the equation governing nonlinear large-amplitude free vibrations of tapered beams. The effect of vibration amplitude on the frequency of nonlinear vibrations is investigated. The next step is to look at different ways to get close to exact solutions across the whole range of oscillation amplitude. This will show how useful and …

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An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam Jan 2024

An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam

Mansoura Engineering Journal

The lane detecting algorithm plays a major role in advanced driver assistance systems (ADAS) and autonomous driving systems. In recent years, deep learning-based lane detection techniques have shown encouraging results; nonetheless, the quality and size of the training data set has a significant impact on how effective these techniques are. Active learning is a technique that can improve the capacity of deep learning-based lane identification systems to repeatedly choose and classify valuable samples from a large body of unlabeled data. In this research, a novel 1-dimensional deep learning approach is used to present an augmented Active Learning based Lane Detection …

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Machine Learning-Based Prediction Of International Roughness Index For Continuous Reinforced Concrete Pavements, Ragaa T. Abd El-Hakim, Ahmed N. Awaad, Sherif M. El-Badawy Jan 2024

Machine Learning-Based Prediction Of International Roughness Index For Continuous Reinforced Concrete Pavements, Ragaa T. Abd El-Hakim, Ahmed N. Awaad, Sherif M. El-Badawy

Mansoura Engineering Journal

The International Roughness Index (IRI) serves as a crucial indicator for ride quality and user comfort. As road roughness escalates, road serviceability diminishes, resulting in reduced vehicle speed and increased travel time, and consequently higher carbon dioxide emissions. Predicting the IRI is of utmost importance for Pavement Management Systems and sustainable development overall. While numerous studies have forecasted the IRI of flexible pavements, there is a notable scarcity of research focusing on rigid pavement performance prediction. This study addresses the gap in predicting IRI for Continuous Reinforced Concrete Pavements (CRCP), an understudied aspect of pavement engineering. Leveraging the Long-Term Pavement …

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Study The Application Of Different Building Technology Systems Case Study: A Residential Villa In Al-Qassim Region, Ksa, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Basem O. Elgendy, Azzam I. Aljutayli, Meshal A. Alhrabi, Khattab I. Alyahya Jan 2024

Study The Application Of Different Building Technology Systems Case Study: A Residential Villa In Al-Qassim Region, Ksa, Ahmed Abdelmonteleb M. Ali, Essam S. Almahmoud, Basem O. Elgendy, Azzam I. Aljutayli, Meshal A. Alhrabi, Khattab I. Alyahya

Mansoura Engineering Journal

Buildings are responsible for 39% of global energy-related carbon emissions; 11% come from materials and construction, and 28% come from operational emissions (the energy required to heat, cool, and power). Embodied carbon will contribute an increasing amount to the emissions from new buildings in the future as carbon emissions from building operations continue to decline. This study examined several construction methods and materials to evaluate alternatives for remodeling a residential villa. A villa in the Al-Qassim Region, Buraidah, served as a case study for this research. The methodology employed provided a meticulous appraisal of the building materials and techniques currently …

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Unleashing The Potential: The Impact Of Biophilic Office Design On Enhancing Employee Productivity, Asmaa Elantary Jan 2024

Unleashing The Potential: The Impact Of Biophilic Office Design On Enhancing Employee Productivity, Asmaa Elantary

Mansoura Engineering Journal

The observed landscape influences people in numerous ways, including aesthetic appreciation, health, and well-being. The evidence of health benefits associated with viewing those landscapes has proven exceptional value. A comprehensive review of papers on landscapes and sound effects on health was conducted. According to a growing body of evidence, exposure to visible landscapes positively affects one's health and fitness. The most pressing social and economic challenge now is increasing worker productivity, attracting, and retaining exceptionally talented employees, and improving overall employee performance. This will not happen unless companies provide a safe, comfortable, and stimulating work environment; this will not happen. …

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Effect Of The Shape And Volume Of Capsulated Phase Change Materialon The Melting Process And Exergy Efficiency, Ahmed Saad Soliman, Ahmed A. Sultan, Mohamed A. Sultan Jan 2024

Effect Of The Shape And Volume Of Capsulated Phase Change Materialon The Melting Process And Exergy Efficiency, Ahmed Saad Soliman, Ahmed A. Sultan, Mohamed A. Sultan

Mansoura Engineering Journal

Due to the lack of solar energy continuity throughout the day, researchers tended to store this energy in phase change materials (PCM). The goal is to store a big amount of energy in a small PCM mass. In this study, the effect of the capsule shape (circular and elliptical cross-section), number of capsules with the same volume (1, 2, 3, 4, and 5 capsules), and one capsule with increasing its initial volume (multiplying of volume ratio 1 (Vr = 2, 3, 4, and 5)) on the PCM melting process was studied. The results of the numerical model for both circular …

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The Contribution Of Outcome Expectation In Water Saving Among Malaysians For Sustainable Living Standard, Ganesh. R, Vxynette Fiorna, Ammar Abdulaziz Al-Talib, Haslinda. A, Elango Natarajan Jan 2024

The Contribution Of Outcome Expectation In Water Saving Among Malaysians For Sustainable Living Standard, Ganesh. R, Vxynette Fiorna, Ammar Abdulaziz Al-Talib, Haslinda. A, Elango Natarajan

ASEAN Journal on Science and Technology for Development

Saving water is an essential component of a higher level of living for each individual in any Nation. The current and next generation will be greatly impacted by attitudes and emotional aspects of social cognitive behaviour. This empirical investigation was carried out in Malaysia. To determine their attitude and behaviour, a convenience sampling method was applied to a sample size of 265 individuals. It was discovered that outcome expectancy significantly improves water saving. Observed self-efficacy, personal elements, and environmental elements all impacted the outcome expectancy. The model evaluation showed that the adjusted R2 was 0.78, or about 78% of the …

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The Conceptual Review On The Effect Of Corporate Governance Monitoring Mechanisms On Tax Avoidance, Eveana Mosuin, Nor Balkish Zakaria, Yvonne Joseph Ason Jan 2024

The Conceptual Review On The Effect Of Corporate Governance Monitoring Mechanisms On Tax Avoidance, Eveana Mosuin, Nor Balkish Zakaria, Yvonne Joseph Ason

ASEAN Journal on Science and Technology for Development

Taxes are the primary source of revenue for many nations in order to increase budget revenues and fund national development. Taxation serves multiple purposes because it can positively impact a nation's investment, education, social and economic development. However, tax authorities require assistance with the issue of tax non-compliance, which impedes tax administration and collection. One of the categories of tax non-compliance is tax avoidance, which is one of the company's strategies for legally reducing its tax burden by exploiting loopholes in tax regulations to minimise tax liability. Tax avoidance is when a company follows a particular tax strategy in the …

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Kinetic Modelling During Soaking Of Dried Long Grain Paddy Mr297, Jhauharotul Muchlisyiyah, Rosnah Shamsudin, Roseliza Kadir Basha, Radhiah Shukri, Syahmeer How, Masmunira Rambli Jan 2024

Kinetic Modelling During Soaking Of Dried Long Grain Paddy Mr297, Jhauharotul Muchlisyiyah, Rosnah Shamsudin, Roseliza Kadir Basha, Radhiah Shukri, Syahmeer How, Masmunira Rambli

ASEAN Journal on Science and Technology for Development

This study aimed to assess the soaking behaviour of MR 297 dried paddy under two conditions: room temperature and hot water soaking at 60°C. The experiment involved soaking dried MR297 paddy samples in water for 0.5 to 8 hours at room temperature and 0.5 to 5 hours for soaking at 60°C. The water absorption of MR 297 behaved differently at two different soaking conditions. The kinetic behaviour of the soaking process was also simulated using established 25 predictive models and incorporating 5 novel models presented in this work. The comparison of all prediction models involved using three statistical measures: the …

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Species Distribution Modelling Using Bioclimatic Variables On Critically Endangered Endemic Species (Macrocephalon Maleo) In Sulawesi, Septianto Aldiansyah, Khalil Abdul Wahid Jan 2024

Species Distribution Modelling Using Bioclimatic Variables On Critically Endangered Endemic Species (Macrocephalon Maleo) In Sulawesi, Septianto Aldiansyah, Khalil Abdul Wahid

ASEAN Journal on Science and Technology for Development

The island of Sulawesi isolates migratory fauna from Asia and Australia and creates animal combinations such as the Maleo (Macrocephalon Maleo). The Maleo population is experiencing a downward trend due to habitat fragmentation, deforestation and threats by humans. This study aims to model the potential distribution of Maleo using several famous current and future models as a result of climate change throughout the island of Sulawesi, not only in its natural habitat, but beyond its natural habitat. Bioclimatic variables and in situ attendance data were used in this study. The method used is Maximum Entropy by evaluating the GLM, SVM …

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Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf Jan 2024

Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf

Mansoura Engineering Journal

It had been noticed that 3-phase and 4-phase computed tomography protocols with contrast serve as standard examinations for diagnosing liver tumors. Additionally, many patients require periodic follow-up, which entails significant radiation exposure for them. Advancements in image processing facilitate automated liver lesion segmentation. However, the challenge remains in classifying these small lesions by doctors, especially when the liver has different types of lesions with very little intensity difference. Therefore, deep learning can be utilized for the classification of liver lesions. The present work introduces a CNN-based module for the classification of liver lesions. The module consists of four stages: data …

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The Mechanical Performance Of Sustainable High Performance Concrete Containing Hybrid Polypropylene Fibers And Exposed To Elevated Temperatures, Ahmed M. Tahwia, Marwa M. Ouda, Mohamed Abdellatief, Walid E. Elemam Jan 2024

The Mechanical Performance Of Sustainable High Performance Concrete Containing Hybrid Polypropylene Fibers And Exposed To Elevated Temperatures, Ahmed M. Tahwia, Marwa M. Ouda, Mohamed Abdellatief, Walid E. Elemam

Mansoura Engineering Journal

The purpose of this research is to investigate the impact of hybrid micro and macro polypropylene fibers (PPFs) on the mechanical characteristics and microstructure of high performance concrete (HPC). Seven concrete mixes with different contents of hybrid polypropylene fibers were tested. The tests included the slump test, compressive and flexural strength, resistance to elevated temperatures, and concrete microstructure. Compared to the control mixture, introducing macro and micro polypropylene hybrid fibers to HPC mixes dramatically enhanced the flexural and compressive strength of concrete while lowering workability. HPC compressive and flexural strengths decrease as temperature rises, nevertheless, the strength loss rate was …

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Power Generation And Water Conservation Potentials For Several Photovoltaic Configurations Installed Over A Fresh Water Surface, Rana A. Kewan, Mohamed S. Salem, Mohamed R. Elmarghany, Maher Bekheit, Gamal I. Sultan Jan 2024

Power Generation And Water Conservation Potentials For Several Photovoltaic Configurations Installed Over A Fresh Water Surface, Rana A. Kewan, Mohamed S. Salem, Mohamed R. Elmarghany, Maher Bekheit, Gamal I. Sultan

Mansoura Engineering Journal

One of the challenges that face photovoltaic systems is depleting performance if their average temperature increases due to solar radiation. Floating photovoltaic (FPV) and submerged photovoltaic (SPV) systems offer a potential solution to such problem. Another major benefit is the decrease of water evaporation by creating an artificial shadow over water. In this paper, an experimental study is presented that includes three different systems: an inclined PV by 30⸰ over water (IPV), an SPV, and an FPV systems and compares their performance with that of a conventional PV system under the same operating conditions. The FPV and SPV systems exhibited …

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Protein Content Analysis On Brunei Delicacies: Kelupis Sulang And Sulang Fruit, Siti Nadia Saifullzan, Jhoorhanah A. Halim, Mas M. Rambli, Aida M. Basri Jan 2024

Protein Content Analysis On Brunei Delicacies: Kelupis Sulang And Sulang Fruit, Siti Nadia Saifullzan, Jhoorhanah A. Halim, Mas M. Rambli, Aida M. Basri

ASEAN Journal on Science and Technology for Development

Traditional Bruneian delicacy which are often reserved for special occasions; called the kelupis Sulang made from glutinous rice, coconut milk, and the flesh of the Brunei Sulang fruit’s protein content were studied. The protein content of both kelupis and the sulang fruit were examined using both qualitative and protein concentration analyses. The analysis was performed using the Xanthoproteic test, Ninhydrin test, Sulphur Reduction test, and the Biuret test. The readings were obtained from the UV-Visible Spectrophotometry and revealed an average protein concentration of 21 mg/ml in aqueous extracts of kelupis sulang and 26.8 mg/ml in aqueous suspension of kelupis sulang …

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Special Issue Editorial: Business Innovation For The Sustainable Development Goals, Mohamed Saleem Nazmudeen, Fadzliwati Mohiddin, Stephen Singaraju, Seyed M Buhari Jan 2024

Special Issue Editorial: Business Innovation For The Sustainable Development Goals, Mohamed Saleem Nazmudeen, Fadzliwati Mohiddin, Stephen Singaraju, Seyed M Buhari

ASEAN Journal on Science and Technology for Development

Welcome to this special issue of the ASEAN Journal on Science and Technology for Development (AJSTD), focused on “Business Innovation for the Sustainable Development Goals (SDGs)." This collection features a robust ensemble of 30 papers that not only highlight innovative business practices across the ASEAN region but also align these innovations with the Sustainable Development Goals. These contributions span a diverse range of disciplines, grouped into five broad categories: Management and Strategy, Financial Innovations, Marketing and Consumer Behavior, Information Technology and Systems, and Environmental and Social Impact.

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