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157 DETERMINANTS THAT IMPACT A DESTINATION IMAGE: APPLICATION ON EL GOUNA THE RECENTLY FOUNDED CONTEMPORARY RESORT CONURBATION IN EGYPT.
(MSA-Management science journal, 2023) El Sheikh, Samia Adly Hanna; Soliman, Diana a.; Amer, Mariam Ahmed
The purpose of this research paper is to investigate the factors influencing destination image as destination image is a major determinant that influences purchase decisions of going to a destination or not, either consciously or subconsciously. The authors investigate the factors impacting destination image application on El Gouna which is a recently founded touristic destination in Egypt well noted for its engaging events, stunning coral reefs, diverting beaches, lagoons, and a multitude of other alluring variables overlooking the Red Sea. The researchers proposed a conceptual model based on a thorough review of the literature. A non-probability convenience sampling technique was used to collect primary data. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS) software. Implications to further improve the perceived destination image include campaigns conducted by El Gouna managers and the relevant ministries and a suggested change in market prices of hotel brands functioning in El Gouna. A suggestion for further research is to conduct a comparative cross-cultural study to investigate if the studied factors also impact foreigners visiting El Gouna.
4D Printing As A Solution For Saving Building Energy
(October university for modern sciences and Arts MSA, 2023) A. H. Abd El-Wahab, Eslam; Mahrous Abdelmasih, Marina
In view of the energy crisis all over the world, in all types of energy such as the gas and electricity crisis, the call for the use of renewable energy appeared on the basis that it was the best solution to this crisis. However, the energy was stored in containers according to the nature of the stored energy, such as batteries for electricity, which exposes part of it to loss in the process of charging and discharging it. However, the tendency to store this energy within the material itself began to emerge and apply, instead of storing energy in containers and then retrieval. The research tends to use the energy stored in the material as a solution to prevent wasting part of the energy in charging and discharging it, such as heat loss in charging and discharging electricity. So the aim of the research is using 4D printing to store and discharge energy to directly interact with the architectural problem through environmental stimuli, using heat and light stimulus to reach the desired formation or movement to solve a problem in the building
Application of Analysis of Variance and Taguchi Method for the Identification of Key Parameters and their Impact on Sound Measurement.
(October university for modern sciences and Arts MSA, 2023) Elkattan, AbdelRahman; Elkholy, Janna; Magdy, Mohammed; Essam, Mostafa; Khaled, Mostafa; Fayed, Yousef
This work is done to measure the sound density and improve its quality. And this is done by measuring the sound intensity in different situations and surroundings. To determine the effect of significant parameters throughout the sound measurement. The results of the various experiments of the sound measurement are viewed by applying some tools in Design of Experiments (DOF), Such as Taguchi method and Analysis of Variance (ANOVA) [1]. In these experiments there are four factors considered, they are temperature, distance, wind speed and angle of the sensor. These factors were chosen because they are the most parameters that can affect the quality of the sound. The results show that the factor speed is the most significant factor with percentage 1.79% according to the ANOVA table. Therefore, this work is considered as an effective tool to find the important parameters and their effect in sound measurement.
Arabic Tweets Spam Detection Based on Various Supervised Machine Learning and Deep Learning Classifiers
(October university for modern sciences and Arts MSA, 2023) I. Hassan, Shimaa; S. Andraws, Mina; Elrefaei, Lamiaa
In this paper, different machine learning algorithms, ensemble algorithms, and deep learning algorithms are applied to Arabic tweets to detect whether it human-generated or not. The tweets are used twice as preprocessed and non-preprocessed to measure the effectiveness of Arabic preprocessing in the classification process. The data is also tokenized with various methods like unigram, trigram, and Term Frequency–Inverse Document Frequency. The experiments show that the support vector machine with the non-preprocessed tweets and unigram tokenization has the best performance of 83.11% and a precision of 0.9516 while it predicts the spam or not in a relatively small time.
Architectural Design in The Light of AI Concepts and Applications
(October university for modern sciences and Arts MSA, 2023) A. Amer, Nihal
In the early stages of projects, architects always face a huge amount of data needed for the design. Currently, computational facilities are available to assist the designer to utilize data and information easily and efficiently to achieve this goal. Artificial Intelligence, AI, is a new science that utilizes, interprets and manipulates data to achieve goals and to accomplish tasks. Currently, AI has been spread among different disciplines and encompasses a wide variety of sub-fields (Modelling, anomaly detection, association and clustering). The present work aims at clarifying the privilege of adopting AI in the architectural design, and to encourage architects to start using it friendly. This is accomplished through a two-fold methodology: highlighting the related literature and demonstrating a summary of selected published case studies of applied and intended projects. It is expected that AI will be applied and play a substantial role in architecture practice more widely in future projects
Architecture Aesthetics Evaluation Methodologies of Humans and Artificial Intelligence
(October university for modern sciences and Arts MSA, 2023) Ramsis, Caroline; M Mansour, Yasser; Eliraqi, Ahmed
Architecture is a discipline that contributes to science when it is related to the construction of buildings and art when it is related to the pleasure of the viewer and the user of these buildings. Aesthetics is the discipline that studies the pleasure of humans and how people approach the world through their senses. Human-computer interaction advances every day in our life. This paper discusses concepts behind architecture aesthetic evaluation methodologies by humans and Artificial Intelligence (AI). The first part of this paper identifies some philosophers with their theories about aesthetics that helps in understanding how people were concerned about art and how they relate it to their life. Also, the discussion about neuro-aesthetics helps in studying the biological basis of aesthetic experience. The second part discusses recent applications of AI in evaluating aesthetics and how people interact with AI and how to build a reliable AI system that people will enjoy interacting with it. The third part distinguishes AI methods that are used in architecture that help in storing and analyzing huge amounts of data that the human brain can`t interpret. Finally, the paper concludes with the main guidelines for establishing an integrated system for architectural aesthetics evaluation.
Architecture as a tool for unifying divided cities; A case study of Nicosia
(October university for modern sciences and Arts MSA, 2023) Mohammed, Mariam; Khaled, Amira; M. Shawket, Indjy
Globally the world witnesses several efforts towards uniting cities. Major cities are almost heterogeneous in terms of culture and ethnicity; this implies that every city is divided to certain extent. Many reasons may cause city division, where division occurs due to less negotiable aspects as nationality, sovereignty, ethnicity, or religion. Although these affecting aspects may be few, but they allow great insight into how division can ruin a city. Many people around the world may be suffering of living in divided cities, where sometimes there are no and in other times the borders may exist in a line, a buffer, or even mentally. Segregation will always lead to a dead city at the end, while urbanists and architects are seeking sustainable cities. Yet, there is neglection for the architecture solutions although that it could be a tool for gathering the divisions socially, economically, religiously, or culturally. Hence, when they are gathered, they may generate one revival city. Accordingly, this study focuses on a case study that suffers from the concept of “Divided Cities”, and highlight how social aspect, through the architectural solutions, could directly help on solving economical, touristic, and even political issues to achieve a unified convivial city. Moreover, the study is acknowledging the importance of governments and politicians believes towards architecture as a tool for unifying divided cities.
Artificial Intelligence as a pedagogical tool for architectural education: What does the empirical evidence tell us?
(October university for modern sciences and Arts MSA, 2023) Sadek, Mohamed; Abdel Gelil Mohamed, Nermine
Artificial Intelligence (AI) applications in arts and design have been growing in popularity in recent years. Numerous AI program applications are publicly available, both commercial and open source, offering a chance to convert the textual description of a design or context into original content images. While many research projects tackled AI use in architecture since 2015, there seems to be a lack of empirical evidence of its use in Architecture education as a tool for concept generation. An experimental architecture design course took place in Fall 2022 where 34 students utilised AI programs in the conceptual design phase to produce original content images from narratives to help students generate concepts for their buildings. The designs of the experimental student groups are compared to another control group of 50 students which use more traditional conceptual design methods on a similar project in the same semester. This paper aims to highlight the opportunities and challenges of using AI tools in the concept generation phase in architecture design education by measuring their effectiveness to increase creativity in form finding. With the use of recent literature in architecture learning theories and pedagogies, this experimental approach will be critiqued to provide further insights into AI’s role in architecture education.
Assessment of Marginal Adaptation of Two CAD/CAM Glass Ceramic Occlusal Veneers at Different thickness After Thermodynamic aging
(October university for modern sciences and Arts (MSA), 2022-07) Abouhagar, khaled Reyad; Salma, Aya Ahmed; Fahmy, Nadia Zakria
Background: Occlusal veneers fabricated with different materials and thicknesses can reveal different marginal adaptation after thermodynamic aging. Methodology: Extracted maxillary premolar teeth (n=28) were collected and embedded in epoxy resin block with light body material then randomized according to materials into two groups (n=14): Lithium disilicate IPS e.max CAD (A) and Zirconia reinforced lithium silicate Celtra Duo (B) then further randomized into four subgroups (n=7) according to occlusal veneer thicknesses 1 mm and 1.5 mm. Teeth were prepared by a customized milling machine then the exposed dentine was immediately sealed by dentine bonding agent. Fabrication of the occlusal veneers was done by CAD/CAM milling machine. Occlusal veneers were adhesively cemented by dual cure resin cement (Panavia F 2.0). All samples were subjected to thermocycling and cyclic loading equivalent to one year of service (150,000). Marginal gap measurements then were done with A digital microscope at 35x magnification was used to photograph each specimen. Marginal gap was measured and evaluated using a computerized image analysis system. Results: two-way ANOVA showed that the materials only IPS e.max CAD (39.30±5.14) had significantly higher value than Celtra Duo (31.52 ± 5.69) (p<0.001). While regarding the thicknesses 1 mm thick samples (36.78 ± 6.06) had significantly higher value than 1.5 mm thick samples (34.04 ± 7.02) (p=0.020). Conclusion: Zirconia reinforced lithium silicate (Celtra DUO) occlusal veneers showed better marginal adaptation than lithium disilicate (IPS e.max CAD) in different thicknesses. Zirconia reinforced lithium silicate (Celtra DUO) marginal adaptation was influenced by occlusal veneer thickness (the thicker 1.5 mm showed better adaptation than 1mm.
Augmented Design to Create a Sustainable Environment in Interior Architecture
(October university for modern sciences and Arts MSA, 2022) Mohammed Ahmed, Ola M.
Synthetic biology has allowed us to generate bioproducts from our natural environment. Modern natural sciences have been created to acquire technological mastery over natural processes, resulting in a never-ending stream of new items and technology being introduced into current society, enhancing living comfort and raising overall human well-being. As a result, this technological advancement has unintentionally resulted in increased fossil fuel use, population expansion, urbanization, and deforestation, all of that put further strain on future resources owing to pollution, resource depletion, and biodiversity loss. The study aims to analyse discussions over digital architecture and new industrialization as well as the impact of biotechnology on architecture, interior design, and more especially, the usage of living or semi-living materials in our built environment. Furthermore, as a material and technical innovator, a strong understanding of the disciplines of computational data generation, 3D printing, and digital manufacturing is critical. In addition, bio-augmented design investigates our current interaction with nature. It is the scientific study of life and living entities, ranging from simple organisms to the most sophisticated. The study demonstrates bio-fabrication, which involves designing with living beings where biosynthesis is replacing traditional manufacturing, plants which manufacture items, microbes which develop new materials, and energy-efficient bio designs. Furthermore, these new composite materials provide a vision into the near future when synthetic biology may be used to assist us in designing and building the built environment with higher performance and lower environmental impact than traditional architectural, as well as interior design approaches. The research highlights the shift from nature-inspired design to nature-integrated design. Many recent biological trends identify bio-futuristic design as a paradigm shift in interior design, creating a distinct interface for tectonic and ecological materials between nature and design, as well as an orientation towards healthier structures. Finally, the study concludes that using 50 E-ISSN 2812-4928, P-ISSN 28125339 (https://msaeng.journals.ekb.eg//) living materials, probiotic design, bio-fabrication, bio-receptive design, and bio-augmented design can help to create a sustainable environment in interior design
Balancing Technocentric and Ecocentric Approaches: Integrating Ethnocultural Perspectives in Environmental Policies of Finland and Bhutan
(October University Modern Sciences And Arts MSA, 2024) Abdo, Doaa Mohamed Salman; Halim, Yasser Tawfik
This study delves into the intricate relationship between technology, ecology, and culture and its significant implications for environmental policies and marketing strategies on a global scale. By focusing on Finland and Bhutan as comparative case studies, the research explores the dynamics of ecocentrism, technocentrism, and ethnocentrism and their influence on sustainable development efforts and business practices. Through a comprehensive analysis, the study integrates marketing concepts such as sustainable marketing, green marketing strategies, and corporate social responsibility to gain a deeper understanding of how environmental and cultural perspectives intersect with and impact business practices. It uncovers the complex dynamics of technological reliance, ecological conservation, and cultural biases, shedding light on the formulation of more inclusive and effective environmental policies and marketing strategies. The research highlights the need for a nuanced perspective that considers the interplay between environmental, technological, and socio-cultural factors. It emphasizes the importance of recognizing the interconnectedness of these factors in order to develop holistic solutions to pressing environmental concerns. By integrating cultural perspectives, the study aims to enhance business and marketing strategies and contribute to sustainable development practices.
Behavior of Piles Reinforced by Geosynthetics Under Lateral Load
(October university for modern sciences and Arts MSA, 2023) A. El-Kasaby, El-Sayed; Awwad, Mahmoud; Roshdy, Mohab; I. Badawi, Mona
This paper introduces the results of eleven lateral pile loading tests performed on concrete piles reinforced with different materials such as FRP bars, geosynthetics geogrids, and composite of two materials to check their efficiency in carrying the lateral load. The lateral loading pile test was applied on three groups consisting of ten reinforced concrete pile specimens, and control concrete pile specimen reinforced by steel bars. All samples have the same dimensions (150 mm diameter x 1050 mm length). This research assumed that the pile was placed in a very soft clay soil and rested on a crushed stone layer, so the frictional effect of the soil was neglected. A comparison has been carried out between experimental results for all samples. The experimental results illustrated that the lateral loads carried by piles were increased up to 25.3% by using FRP bars, biaxial geogrid, and uniaxial geogrid. Moreover, a non-linear finite element analysis was verified by Abaqus standard software and achieved a great rapprochement with the experimental results. Finally, a comparison was carried out between the reinforcement cost for all samples, which showed that using these composite piles decreased its cost up to 59%.
Behavior Planning for Autonomous Driving: Methodologies, Applications, and Future Orientation
(October university for modern sciences and Arts MSA, 2023) S. Kassem, Nada; F. Saad, Sameh; I. Elshaaer, Yasser
Decision-making is a crucial task for autonomous driving. Taking the wrong decision might cause a cartographical accident. Decision-making implies planning the appropriate behavior based on the current state of the vehicle and its environment. The paper aims to review the current state of the art of behavior Planning for autonomous driving. A basic categorization for behavior planning algorithms is introduced. Besides, a review of different algorithms is discussed with a comparison between different algorithms from the point of view of the suitable scenario. Finally, promising research topics are discussed.
Biomimicry and Artificial Intelligence for Climate Change Mitigation
(October university for modern sciences and Arts MSA, 2023) ElDin, NourN
The climate change we are facing nowadays is causing notable changes and harmful impacts to the environment. Therefore, there is a crucial need for sustainable practices, and efficient solutions to the CC problems. Nature have been constantly adapting to changing environmental conditions. Throughout history, nature have shown successful examples that we should learn from. “Biomimicry” is concerned with emulating nature models and systems. The term “biomimicry” comes from the Greek word “Bio” means “life” and “mimicry” to imitate. (Benyus, 1997). However, the sophistication and complexity of various database of nature, climate change, etc... require the integration of artificial intelligence to direct adaptation practices, manage the navigation through this large data. The paper will discuss the biomimicry approach and its role in mitigating climate change, followed by addressing the role of (AI) in managing the biomimetic database, weather data. Discussing how (AI) assist in leveraging variables, inputs, creating algorithms, automatically updating databases, offering scenarios, assist in decision making, and less time consuming. So that the designer’s intervention is concerned with overriding the outcomes not starting from scratch, as well as combining the randomness of biomimetic data and the models that evolve overtime, interdisciplinary and the climatic changes, for the development of more efficient solutions.
CAUSAL LINKS BETWEEN ICT, HDI, AND ECONOMIC GROWTH: EVIDENCE FROM MENA
(October university for modern sciences and Arts (MSA), 2022-12) Eldesouki, Ehab; Yasser, Mai
This paper examines the causal links between ICT, HDI, and economic growth in the MENA region's high-income, middle-income, and low-income countries from 2002 to 2019. These panel data will be studied by using several tests such as the unit root test, Pedroni cointegration test, Kao cointegration test, and ECM test. This link will put a great load on the governments to invest more in both human capital and ICT infrastructure. This policy should be applied in both the short and long run to enhance sustainable growth and development. Therefore 17 countries were chosen from MENA depending on six variables depending on the panel ECM test. This paper ends with the significance of ICT and economic growth in the MENA region in the both short run and long run. Also, this result applies to all countries in the region whether with high-income or middle-income, or low-income countries. Also, these results show some bidirectional or unidirectional between these variables that differ according to the income level of the country.
Cleaner Production of Isopropyl Laurate using Lipase Catalyzed Esterification: Optimization by Response Surface Methodology
(October university for modern sciences and Arts MSA, 2023) Mustafa, Ahmad
This work aims to produce a common emollient ester isopropyl laurate (IPL) in a solvent-free system. Isopropyl alcohol (IPA) and lauric acid (LA) were esterified in a closed batch reactor, employing immobilized Candida antarctica lipase as a biocatalyst. Response surface methodology was based on a five-levels, three variables composite design was used to optimize the reaction conditions. The interactive effect of three different parameters on isopropyl laurate (IPL) synthesis was studied. The following conditions' ranges were considered: molecular sieves of 1%–10% (w/w), IPA-to-LA molar ratios of 3:1–15:1, and enzyme load of 1%–4% (w/w). As a result of the optimization study, the optimum conditions were 4% w/w of Novozym 435, 15:1 IPA: LA molar ratio, and 10% w/w molecular sieves at 150 RPM, 60°C and for 2.5 h. The RSM study showed that the maximum predicted and experimental conversion values were 90.75 and 91%, respectively. It is worth mentioning that Novozyme 435 demonstrated superior operational stability, where it was used for 15 cycles without significant denaturation. The clean nature of the proposed method and the proven operational stability of Novozym 435 reveal this approach's technical and economic feasibility.
CONSUMER PERCEPTION OF SUSTAINABLE SHOPPING BAGS AND ITS EFFECT ON THEIR PURCHASE INTENTION:
(MSA-Management science journal, 2022) Halim, Hazem Tawfik; Halim, Yasser Tawfik; El Sheikh, Samia Adly
the paper aims to study the relationship between environmental concerns and subjective norms on consumers' perception towards green product and the factors that influences people's intention towards using them, especially sustainable shopping bag using survey data from 453 respondents. The study uses Chi-square test via Kruskal-Walis test to determine if the hypotheses were accepted or rejected. The existence of the relationship between variables was proven via the measuring of Spearman Correlation. The research indicated that there is a positive relationship between environmental concerns and consumers’ perception of green products. Finally, the results show there is a confident relationship between the consumer’s perception towards green products and purchase intention of green products. Based on the research findings, policy implications and suggestions to further promote shopping bags are discussed.
COVID-19 intelligent tracking platform
(October university for modern sciences and Arts MSA, 2022) Ibrahim Mohamed, Samer
From the ending of year 2019 till now, the COVID-19 pandemic has spread with expanded fatalities all throughout the planet and has become a worldwide general wellbeing emergency. General wellbeing experts in numerous nations have acquainted contact tracing applications to track and follow carrier people. Our proposed covid19 tracking platform aim to build a tracking system for the prospect COVID infected persons within specific domain defined by the WHO. The system is developed with the flutter and DART programming language to support as wide range of mobile phones as possible; the app uses Bluetooth address to tackle the known privacy issues and be able to track users without storing their real identities and uses their location data in real time to show hospitals. This considered one of the main uniqueness of our proposed system to adhere with the national and international privacy regulations in many countries. The results shed on that the app is able to successfully track users and create a statistic of all users registered with their real-time status and show hospitals for users.
COVID-19 intelligent tracking platform
(MSA University, 2022-03) Mohamed, Samer Ibrahim
From the ending of year 2019 till now, the COVID-19 pandemic has spread with expanded fatalities all throughout the planet and has become a worldwide general wellbeing emergency. General wellbeing experts in numerous nations have acquainted contact tracing applications to track and follow carrier people. Our proposed covid19 tracking platform aim to build a tracking system for the prospect COVID infected persons within specific domain defined by the WHO. The system is developed with the flutter and DART programming language to support as wide range of mobile phones as possible; the app uses Bluetooth address to tackle the known privacy issues and be able to track users without storing their real identities and uses their location data in real time to show hospitals. This considered one of the main uniqueness of our proposed system to adhere with the national and international privacy regulations in many countries. The results shed on that the app is able to successfully track users and create a statistic of all users registered with their real-time status and show hospitals for users.
Design and Implementation of an Autonomous Water Surface Cleaning Robot
(October university for modern sciences and Arts MSA, 2023) Yousef Takawy, Mina; Gamal Ezz-Eldin, Ahmed; M. Bayoumy Aly, Amgad
Water is a vital resource, but industrialization has caused water pollution to become a significant issue. An autonomous water surface-cleaning robot is a machine that is designed to navigate and clean the surface of a body of water without human intervention. The robot is equipped with sensors and algorithms that allow it to detect and remove debris, such as leaves and twigs, from the water's surface. In addition to removing visible debris. one of the main advantages of using an autonomous water surface cleaning robot is the ability to continuously clean the water without the need for human intervention. This allows for a more efficient and effective cleaning process, as the robot can operate around the clock if needed. Additionally, the use of a robot can help to reduce the risk of injury or accidents that may be associated with manual cleaning methods, such as using a net to remove debris. A fixed arm is included for collecting and depositing waste into a basket on the hull, and electronic circuits and motors are protected inside the hull. The robot can operate autonomously, including detecting and avoiding obstacles and cleaning the water's surface. It also has a docking station that alerts the robot when it has reached its maximum garbage capacity or when the battery is low. The robot includes modules for movement, positioning, obstacle avoidance, communication, and power management, as well as a system for cleaning the water's surface.

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