Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons based on (...) their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (shrink)

Abstract: Rice is one of the most important staple crops in the world and serves as a staple food for more than half of the global population. It is a critical source of nutrition, providing carbohydrates, vitamins, and minerals to millions of people, particularly in Asia and Africa. This paper presents a study on using deep learning for the classification of different types of rice. The study focuses on five specific types of rice: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. A (...) dataset of 75,000 images was collected and annotated, consisting of 15,000 images for each of the five types of rice. The deep learning system uses convolutional neural networks (CNNs) to classify images of rice grains based on their physical characteristics. The performance of the deep learning system was evaluated using metrics such as accuracy, precision, recall, and F1-score. The results show that the proposed deep learning system was able to achieve high accuracy in classifying the different types of rice, outperforming traditional image processing techniques. This study provides valuable insights into the potential of deep learning for classifying different types of rice and can be useful for applications such as quality control in rice processing industries and research in crop science. The large size of the dataset, 15,000 images for each type of rice, helped the deep learning system to learn the features of each type of rice, and increase the performance of the classifier. The attained overall accuracy of the proposed model (99.96%), Precision (99.96%), Recall (99.96%) and F1-score (99.96%). Thus, the proposed model proved that it leaned the five categories of rice and it can generalize these categories and it is effective. (shrink)

Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...) show that the fine-tuned MobileNetV2 model is able to achieve an accuracy of 85% on the classification task, which is competitive with the state-of-the-art methods. Additionally, the study also found that data augmentation and regularization techniques such as dropout were important for preventing overfitting and improving the performance of the model. This study demonstrates the potential of using pretrained models and efficient CNN architectures for classifying sea animals, and it provides insights into the challenges and best practices for solving this important problem in marine biology and ecology. (shrink)

The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design of (...) an Intelligent Tutoring System for teaching English language grammar to help students learn English grammar easily and smoothly. The system provides all topics of English grammar and generates a series of questions automatically for each topic for the students to solve. The system adapts with all the individual differences of students and begins gradually with students from easier to harder level. The intelligent tutoring system was given to a group of students of all age groups to try it and to see the impact of the system on students. The results showed a good satisfaction of the students toward the system. (shrink)

In his consideration of thought development, Auguste Comte proposed a three-stage model, in which the mechanism of development may lead to new types of thought. So the process that led to a philosophy of science may be repeated to create a new type of thought. The thought development is attributed to a process of accumulation of challenged but unanswered questions, followed by a decline of interest in that type of thinking.

Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them understand this subject easily (...) and smoothly by analyzing it and explaining it in a systematic way. In this paper, we describe the design of an Intelligent Tutoring System for teaching science for grade seven to help students know the 7 characteristics for living things smoothly. The system provides all topics of living things and generates some questions for each topic and the students should answer these questions correctly to move to the next level. In the result of an evaluation of the ITS, students like the system and they said that it is very useful for them and for their studies. (shrink)

Abstract: Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early intervention, early prognosis and survival prediction rates are still not sufficient. In this paper, we propose an ANN model which outperforms all the previous supervised learning methods by reaching 99.57 in terms of accuracy in Wisconsin Breast Cancer dataset. Experimental results on Haberman’s Breast (...) Cancer Survival dataset show the superiority of proposed method by reaching 88.24 % in terms of accuracy. The results are the best reported ones obtained from Artificial Neural Network using JNN environment without any preprocessing of the dataset. (shrink)

Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...) In a form improved from naturally occurring types, Beans were an important source of protein throughout old and new world history, and still are today. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help farmers and those interested in agriculture in diagnosing many of the Bean diseases such as Fusarium wilt, Charcoal rot or ashy stem blight, Bacterial leaf spot and blight, Mung bean yellow mosaic virus, Cercospora leaf spot. The proposed expert system presents an overview of Bean diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Bean diseases diagnosis expert system was evaluated by Agricultural experts and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

The work is an attempt to transfer a structure from Euclidean plane (pure geometrical) under the physical observation limit (resolving power) to a physical space (observable space). The transformation from the mathematical space to physical space passes through the observation condition. The mathematical modelling is adopted. The project is based on two stapes: (1) Looking for a simple mathematical model satisfies the definition of Euclidian plane; (2)That model is examined against three observation resolution conditions (resolved, unresolved and partially resolved). The (...) simplest mechanical model satisfies the definition of Euclidian plane is a planetary gear. The interesting examination of the mechanical model is that is under partial resolution. That examination shows analogous equation for Euler’s formula. The derived complex formula contains the resolved (observable) quantities of the mechanical system and satisfies the linear wave equation. The interpretation of this complex formula is: it is a function related to the position vector of a point in the small wheel of the partially resolved planetary gear system. The function is in terms of the observable quantities only. The work shows the possibility of transformation from real to complex space. The work is purely classical but the result of the partial resolution shows a function similar to the Quantum mechanics wave function. (shrink)

Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction is (...) based on these features (date, opening price, highest price, lowest price, volume), which were used as input variables and (closing price) as output variable for our ANN model. Our model was created, trained, and validated using data set in JNN environment, which its title is “Google-Stock-Prices”. The model evaluation showed that the ANN model is able to predict correctly 99.48% of the validation samples. (shrink)

Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether a (...) certain type of fruit meets their nutritional requirement. In this paper, machine learning based approach is presented for classifying and identifying 10 different fruit with a dataset that contains 6847 images use 4793 images for training, 1027 images for validation and 1027 images for testing. A deep learning technique that extensively applied to image recognition was used. We used 70% from image for training and 15% from image for validation 15% for testing. Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

Abstract: The Knowledge-Based System for Diagnosing Breast Cancer aims to support medical students in enhancing their education regarding diagnosis and counseling. The system facilitates the analysis of biopsy images under a microscope, determination of tumor type, selection of appropriate treatment methods, and identification of disease-related questions. According to the Ministry of Health's annual report in Gaza, there were 7,069 cases of breast cancer between 2009 and 2014, with 1,502 cases reported in 2014. In an era dominated by visual information, where (...) 65% of the population are visual learners, the Knowledge-Based System serves as an effective tool to aid long-term information retention by utilizing visual and textual resources. The system features a user-friendly interface, enabling students to diagnose the disease and expand their understanding. Furthermore, it can be accessed via smartphones. The Knowledge-Based System comprises three primary components: Firstly, it provides specific patient-oriented questions to familiarize students with the questioning process. Secondly, it facilitates the analysis of biopsy sample images to determine their integrity and identify potential infections. Lastly, the system incorporates animated videos illustrating various approaches for treating breast cancer. (shrink)

Abstract Heart Attack is the Cardiovascular Disease (CVD) which causes the most deaths among CVDs. We collected a dataset from Kaggle website. In this paper, we propose an ANN model for the predicting whether a patient has a heart attack or not that. The dataset set consists of 9 features with 1000 samples. We split the dataset into training, validation, and testing. After training and validating the proposed model, we tested it with testing dataset. The proposed model reached an accuracy (...) of 98.01% on the Heart Disease Dataset. (shrink)

In this paper, we designed and developed an intelligent tutoring system for teaching Photoshop. We designed the lessons, examples, and questions in a way to teach and evaluate student understanding of the material. Through the feedback provided by this tool, you can assess the student's understanding of the material, where there is a minimum overshoot questions stages, and if the student does not pass the level of questions he is asked to return the lesson and read it again. Eventually this (...) administration is a special teacher for the students and can continue with him until he fully understands the lesson without weariness or boredom, regardless of the level of student. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...) proposed. The aim of this paper is to diagnose tomato diseases based on a dataset containing 11000 picture and 11 classes. The model gave the final accuracy test with Accuracy (99.87%), F1-score (99.87%), Recall (99.87%), and Precision (99.88%) in an estimated time 1.36 second, as with these results it proved its effectiveness and good ability in the classification of the testing data. (shrink)

Recently there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching information security. This intelligent tutoring systems target the students enrolled in Advanced Topics in Information Security in the faculty of Engineering and Information Technology at Al-Azhar University in Gaza. Through which the student will be able to study the course and solve related problems. An evaluation of the intelligent tutoring systems (...) was carried out and the results were promising. (shrink)

Lung cancer is a serious and deadly disease that affects the lungs, which are responsible for taking in oxygen and expelling carbon dioxide from the body. The disease can develop in any part of the lungs and is usually caused by smoking or exposure to certain chemicals. The main Objective: of this expert system is to provide an accurate diagnosis of lung cancer and the appropriate treatment options. In this paper, Methods: we present the design and implementation of an expert (...) system that can assist physicians in diagnosing lung cancer and determining the best course of treatment. The system provides an overview of the disease, its causes, symptoms, diagnosis, and treatment, along with relevant medical information. Results: The system was developed using the Clips expert system language and evaluated by medical professionals who found it to be an effective tool for diagnosing and treating lung cancer. Conclusion: The proposed expert system has the potential to improve patient outcomes and reduce healthcare costs associated with the treatment of lung cancer. (shrink)

Abstract: Purpose - This study aimed to analyze the relationship between the determinants of organizational justice and their relationship to conscientious behavior from the point of view of officers working in the Palestinian police in Gaza Strip. Methodology - The study relied on the descriptive and analytical approach, using the questionnaire, targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers. The study tool was distributed among the (...) sample members in all departments and governorates. Police in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%). Findings - The existence of a positive correlation between the determinants of organizational justice and the behavior of conscience, and the existence of organizational justice in general in a medium degree and the order of its determinants is as follows: fairness of dealings and to a large degree, followed by fairness of procedures and a medium degree, and finally distribution fairness was to a small degree, while the behavior of conscience awareness came to a large extent. Significance - The existence of statistically significant differences between the respondents' averages of responding to the searched relationship due to the variables (type of administration, age group, job title, military rank, years of service). Recommendations - Work to take into account the fairness of distribution by providing adequate and fair salaries, granting bonuses for the additional efforts exerted, and budgeting in the distribution of duties and job burdens, as well as recommending attention to the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and creating an organizational climate dominated by a sense of justice. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (shrink)

Abstract: The main aim of this work is to introduce acceleration methods called a hyperbolic acceleration methods which are of series of numerated methods. In general, these methods named as AL-Tememe’s acceleration methods of first kind discovered by (Ali Hassan Mohammed). These are very beneficial to acceleration the numerical results for definite integrations with continuous integrands which are of 2nd order main error, with respect to the accuracy and the number of the used subintervals and the fasting obtaining results. Especially, (...) for acceleration the results which are obviously obtained by trapezoidal and midpoint methods. Moreover, these methods could be enhancing the results of the ordinary differential equations numerically which are of 2nd order main error. (shrink)

The study aims to identify the reality of management of electronic documents and electronic archiving retirement in the Palestinian Pension Agency -analytical study, as well as to recognize the reality of the current document management system in the Palestinian Pension Agency. The study found the following results: that the reality of the current system for the management of documents in the agency is weak and suffers from many jams. Employee in the agency understand the importance and benefits of the management (...) of electronic documents system, where the application of electronic document management system provide important features and benefits most of which reduce the loss of documents between departments, illustrates the flow path, the speed, accuracy, transparency, and reduce the proportion of damage and destruction of files. Furthermore, the electronic documents system cost will be less than the cost of the current system and it will reduce the tasks assigned for the staff. The existence of a clear adoption of the agency for the policies and procedures established for the application of electronic documents management system. There are weak plans for training and developing of staff in the agency to raise their efficiency. The study found a set of recommendations, including: increased interest and awareness of the need to implement policies, mechanisms, and procedures to ensure the success of electronic document management system through benefiting from the experiences of other organizations and the private sector. The agency need to increase and develop its services for retirees in order to encourage the private sector, universities, and institutions to join the agency, and open the way for all segments of society in Gaza and West Bank and enhance its competitiveness between international social security institutions. The need to focus its attention on developing and publishing appropriate clear plans and specific goals about management of electronic documents and the agency should be committed to apply them. The need to focus on the establishment of a public management of archiving in the structure dealing with all technical operations and having competent and qualified employees in the field of electronic document management. The need to focus on the Palestinian National Archives and the follow-up with the international standards by the International Council Archives (ICA). (shrink)

Since its final version and publication in 1916, it is widely reported in several specialized textbooks and research articles that general relativity theory may be reduced to the Newton's gravity theory in the limit of a weak gravitational field and slow motion of the material bodies. In the present paper, the so-called reducibility of Einstein's geodesic and field equations to Newton's equation of motion and Poisson's gravitational potential equation, respectively, is scrutinized and proven to be mathematically, physically and dimensionally wrong (...) and also the geometrization of gravity is not really necessary. (shrink)

This thesis focuses on the use of intelligent tutoring system for education and training of students specialized in electricity in the field of technical and vocational education. The use of modern systems in training and education will have a great positive impact in improving the level of students receiving training and education; this will improve the level of the local economy by producing students of professionals who are able to engage in society efficiently, especially for those who have specialized in (...) electricity. It is known that students in electrical specialties face many problems because of time and cost. Learning and training is not as easy as you imagine, so intelligence is how to overcome these limitations effectively. Motivating the Intelligent Tutorial System (ITS) for this type of training. This system consists of a student model, which in turn will contain lessons, exercises and examples that will be used by the student in addition to the user interface model which makes the teacher to be able to manage lessons, examples, and questions and make changes to the system. Expert System (ES) model representing the Artificial Intelligence (AI) here has been used to determine the level of the student and gives him the results, directions and levels. The program was implemented and was used by trainees to show the extent of its impact. The students expressed their surprise and admiration in this way of education as the system used focuses on individual education which can be used at any time and without restrictions. After this experience, the dedicated (ITS) system needs to be developed in several ways such as to be used on mobile systems and web systems in addition to linking some of the specialized programs in the field of electricity. (shrink)

Abstract: This study aimed to identify the behavior of organizational citizenship in Palestinian Police Force between reality and expectations, and this study comes to study the reality of human resources and their organizational behavior in the police apparatus, which is the largest security services operating in Gaza Strip, so it is expected that this study will contribute to improving this This aspect will be reflected positively on serving the country and the citizen and achieving security and safety for them. The (...) study relied on the descriptive and analytical approach, using the questionnaire, and targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and the study tool was distributed to the sample members in all departments and governorates Police in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%), and they were analyzed using (SPSS) software. The study found that the organizational citizenship behavior was largely due to all its components. The study also showed that there are statistically significant differences between the respondents ’average response towards the organizational citizenship behavior due to the variables (type of administration, age group, job title, military rank, and years of service). The study recommended taking into account the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and finally, the study recommended that organizational citizenship behavior be considered an organizational value that the police seek, and to create an organizational climate in which a sense of justice prevails, given its prominent role in stability, calm and discipline at work Thus, the elevation of the police institution and the achievement of its desired goals. (shrink)

Abstract: Context: grapevine leaves are an important agricultural product that is used in many Middle Eastern dishes. The species from which the grapevine leaf originates can differ in terms of both taste and price. Method: In this study, we build a deep learning model to tackle the problem of grape leaf classification. 500 images were used (100 for each species) that were then increased to 10,000 using data augmentation methods. Convolutional Neural Network (CNN) algorithms were applied to build this model (...) specifically using the pre-trained model on top of the VGG16 architecture. Then, dense layers were added to classify the output of the Convolutional layers and classify outputs to the five classes (species) the leaf belonged to. Results: It was found that feature extraction without fine-tuning the convolutional layers yielded poor results, about 86% accuracy, while training the whole network along with some data preprocessing gave the best results, about 99.45% accuracy on the testing dataset. Conclusions: The proposed CNN model is an effective one for the problem of classification of grape leaf species. (shrink)

In 1916, Johannes Droste independently found an exact (vacuum) solution to the Einstein's (gravitational) field equations in empty space. Droste's solution is quasi-comparable to Schwarzschild's one . Droste published his paper entitled “The field of a single centre in Einstein's theory of gravitation, and the motion of a particle in that fieldˮ. The paper communicated (in the meeting of May 27, 1916) by Prof. H.A. Lorentz, and published in ʻProceedings of the Royal Netherlands Academy of Arts and Science. 19 (1): (...) 197-215 (1917)ʼ. In the present article, the Droste's solution is scrutinized and proven to be invalid purely and simply because the procedure used by Droste is mathematically questionable since he had systematically, deliberately, and without any justification ‒removed the constant coefficient ʻ2ʼ from the differential term (v'w') in Eq.(6) and added the differential term (wv'') to the same Eq.(6) in order to obtain Eq.(7) which was and is his principal objective, that is, the desired solution. Consequently, Eqs.(6,7) had clearly been falsified. (shrink)

In recent years there has been a number of promising technical and institutional developments regarding use of ontologies in industry. At the same time, however, most industrial ontology development work remains within the realm of academic research and is without significant uptake in commercial applications. In biomedicine, by contrast, ontologies have made significant inroads as valuable tools for achieving interoperability between data systems whose contents derive from widely heterogeneous sources. In this position paper, we present a set of principles learned (...) from the successful Open Biomedical Ontologies (OBO) Foundry initiative to guide the design and development of the Industrial Ontologies Foundry (IOF), which is a counterpart to the OBO Foundry initiative for the manufacturing industry. We also illustrate the potential utility of these principles by sketching the conceptual design of a framework for sustainable IOF development. (shrink)

Due to the tremendous progress in technology and the methods used in its application to facilitate and refine human's life, Intelligent Tutoring System was created to contribute in this era. In this study, the Intelligent Tutoring System was adopted as a platform in linking the complex Technological fields for obtaining information smoothly, and highlighting the importance of water issues and in the Gaza strip. In the light of the absence and inability of the formal education system to raise awareness of (...) the water crisis and its consequences on the daily life of the Gazans, the current Intelligent Tutoring System (ITS) has been utilized to disseminate knowledge and enhance awareness of water problems. The ITS aims to embrace a new water conservation practices and ensure the sustainability of fresh water. Basically the software of the tutoring system is used to create a program which could be easily used by the public population and specialists in the water field. The resulting program was fed with plenty of information about the current local water status and its related problems which are considerably useful for anyone interested to raise his/her level of knowledge and awareness about the local water status in addition to the researchers by reducing their dependency on human sources. The ITS system was presented to two groups of people: The first one consists of specialized water experts and the other consists of master student enrolled in Institute of Water and Environment in Al-Azhar University in Gaza who are interested in water problems. Both groups were requested to use the final version of the system and give their feedback by filling a questionnaire, and then the averages of the answered questions were measured for each group. It was found that the overall impressions of the users were positive. (shrink)

Source: Author: Marwan Kadhim Mohammed, Wan Roselezam Wan Yahya Martin Amis's manipulation of the patriarchal concept of power is a notable indication of his transgressive attitudes that raise remarkable questions about the human identity. Transgressing power investigates the violation of the normal and familiar trends of literature in order to circulate a new discourse by which a new identity is reframed. Hence, the study of power in Martin Amis's novels, as an important technique of identity re-definition, is not taken into (...) consideration in the light of Foucault's theory of power. The objective of this study is to examine the role applied by transgression as a technique of subverting the common discourse of power in the field of identity re-formation. The study investigates the concept of power manipulated in Amis's Money to define the identity of the 'New Man'. Accordingly, the Foucauldian theory of power is taken as a framework of this study. The study reveals a conclusion in which the transgressive aspects of power are effectively utilized by Amis to re-define the identity of his protagonist in the novel. Although John Self-has finally lost his name and fortune, which are necessary demands to define one's self-in the patriarchal society, he finds his own new identity away from the materialistic norms of the common discourse. ]]>. (shrink)

The idea that intentionality is the distinctive mark of the mental or that only mental phenomena have intentionality emerged in the philosophical tradition after Franz Brentano. Much of contemporary philosophy is dedicated to a rejection of the view that mental phenomena have original intentionality. In other words, main strands of contemporary philosophy seek to naturalize intentionality of the mental by tracing it to linguistic intentionality. So in order to avoid the problematic claim that a physical phenomenon can in virtue of (...) its own physical structure mean exactly one thing, they adopt a form of holism. Nevertheless, contemporary philosophers are attracted to a naturalist story about the emergence of the logical space. In this work, I am interested in the naturalism and the holism advocated by Wilfrid Sellars and developed by the Pittsburgh school. It is not only a view that I find theoretically attractive but I also admire it for its fecund engagement with the history of philosophy, especially the work of Georg Wilhelm Friedrich Hegel and, as I will argue, Abū Nas̩r Muḥammad al-Fārābī (Alfarabi). (shrink)

The two important factors in science development are the social economy (gross domestic product, GDP) and freedom. In order to follow the development of science for both old Arabic-Islamic and Western civilizations, a statistical method is used to trace the variation of scientists' population with time. The analysis shows that: 1- There is a growth in Arabic-Islamic sciences for a period of three centuries (AD 700-1000). Then it is followed by period of declination. The decay time is about of eight (...) centuries. Major factor behind that decay in science activities and the block of the science thoughts may be attributed to religious thoughts domination, and cultural or thoughtful problems, in addition to the normal social problems like wars, disasters..etc. 2- The growth in western civilization started approximately in AD 1200 and remains in its growing. It looks that the wars, political problems have no serious effect in western sciences growth. The growth behaviour has a natural growth form. That may prove that, the secular society is quite perfect for such activities. For present time Arab-Islam societies have no distinguished contributions. The most important factor for that catastrophic retardation is the absence of the freedom of thought and believes. The obtaned curve has similarities with world GDP curve. (shrink)

Abstract: The aims of this study are to introduce acceleration methods that called relative and algorithmic acceleration methods, which we generally call Al-Tememe's acceleration methods of the second kind discovered by (Ali Hassan Mohammed). It is very useful to improve the numerical results of continuous integrands in which the main error is of the 4th order, and related to accuracy, the number of used partial intervals and how fast to get results especially to accelerate the results got by Simpson's method. (...) Also, it is possible to utilize it in improving the results of differential equations numerically of the main error of the forth order. (shrink)

Abstract: The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer (...) science curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP). In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi-objective programming problems are transformed into a single objective linear programming problem by using a first order Taylor polynomial series. Finally, to illustrate the efficiency of the proposed method, a numerical experiment for supplier selection is given as an application of Taylor series method for solving neutrosophic multi-objective programming problem (...) at end of this paper. (shrink)

A population of breakthrough scientists is considered to trace the development of science in both old Arabic-Islamic and Western civilisations. A statistical method is used to trace variation in the scientist population over several centuries. The analysis shows that the following: 1) There has been growth in Arabic-Islamic sciences for a period of three centuries, which was then followed by a period of decline. The decay time is approximately eight centuries. 2) The growth of science in Western civilisation started in (...) approximately 1200 AD and continues to grow. The behaviour of the curve can be attributed to different historical events, particularly those events that may have affected scientific development. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing organizational dynamics by reshaping both structures and processes. This paper explores how AI-driven innovations are transforming organizational frameworks, from hierarchical adjustments to decentralized decision-making models. It examines the impact of AI on various processes, including workflow automation, data analysis, and enhanced decision support systems. Through case studies and empirical research, the paper highlights the benefits of AI in improving efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges associated with AI (...) integration, such as resistance to change, ethical concerns, and data security issues. The paper concludes by offering insights into future trends and implications for organizations navigating the evolving landscape of AI-driven change. (shrink)

Disaster response is a highly collaborative and critical process that requires the involvement of multiple emergency responders (ERs), ideally working together under a unified command, to enable a rapid and effective operational response. Following the 9/11 and 11/13 terrorist attacks and the devastation of hurricanes Katrina and Rita, it is apparent that inadequate communication and a lack of interoperability among the ERs engaged on-site can adversely affect disaster response efforts. Within this context, we present a scenario-based terrorism case study to (...) highlight the challenges of operational disaster command and response. In this article, which is based on the French emergency response doctrine, we outline a semantics-based common operational command system that is designed to guarantee an efficient information flow among ERs. Our focus is on offering to all ERs, a real-time operational picture of the situation in order to enable multilevel coordination among firefighters, police, healthcare units, public authorities, and other stakeholders. Our approach consolidates information to promote timely sharing of data among ERs. The proposed system is based on an ontology that has been developed to represent the different types of knowledge on the part of ERs, providing a shared vocabulary that covers a variety of interoperability concerns. (shrink)

The aim of the research is to identify the role of policies and procedures for the electronic document management system in the success of the electronic document management system in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the analytical descriptive method in which the tries to describe the phenomenon studied, analyze its data, the relationship between its components and the opinions that are raised around it, and use the comprehensive inventory method (...) due to the small size of the society. (108) questionnaires were distributed to the community of 65 employees in Gaza Strip and 43 employees in the West Bank. All the responses were retrieved. The research found that there is a clear adoption by the Commission of the policies and procedures put in place to implement the electronic management system of electronic documents. The study showed that there are no statistically significant differences between the responses of the study population regarding the role of policies and procedures for the electronic document management system in the success of the electronic document management system in the Palestinian Pension Agency due to variable (age, nature of job, specialization). And showed that there is a fundamental difference in the opinion of members of the study community on the role of policies and procedures for the electronic document management system in the success of the electronic document management system in the Palestinian Pension Agency attributed to the scientific qualification, and shows the difference in favor of the bachelor's degree. And years of service, and shows the difference in favor of the 11-15 year category. The research led to a number of recommendations, the most important of which is the increase of interest and awareness of the need to implement policies and procedures to ensure the success of the electronic document management system through access to and benefit from the experiences of other institutions and the private sector. And the need to focus on the attention to develop appropriate and clear plans and dissemination on the electronic document management system and specific to specific objectives and the Commission is committed to apply them, the need to pay attention to the development of strategic plans and policies and work mechanisms commensurate with the electronic document management system, and the need to define a policy in advance to form a team of different specialties of the staff of the Authority and cooperation with consultants from outside the body to work on the electronic document system. (shrink)

Based on de Broglie’s wave hypothesis and the covariant ether, the Three Wave Hypothesis (TWH) has been proposed and developed in the last century. In 2007, the author found that the TWH may be attributed to a kinematical classical system of two perpendicular rolling circles. In 2012, the author showed that the position vector of a point in a model of two rolling circles in plane can be transformed to a complex vector under a proposed effect of partial observation. In (...) the present project, this concept of transformation is developed to be a lab observation concept. Under this transformation of the lab observer, it is found that velocity equation of the motion of the point is transformed to an equation analogising the relativistic quantum mechanics equation (Dirac equation). Many other analogies has been found, and are listed in a comparison table. The analogy tries to explain the entanglement within the scope of the transformation. These analogies may suggest that both quantum mechanics and special relativity are emergent, both of them are unified, and of the same origin. The similarities suggest analogies and propose questions of interpretation for the standard quantum theory, without any possible causal claims. (shrink)

Both society and plasma (ionized gas) fluid are composed of active, interactive, and free, in-dividuals. These individuals response to any internal and external effects (fields for plasma), and exhibit collective behaviour. According to this structure, there are a wide range of similar-ities between the plasma fluid and the society. The nature of fluidity of plasma arises from the interaction of its free interactive charges, so the society may behave as a fluid owing to the free interactive individuals (persons). This fluid (...) model may explain many social phenomena like social instability, diffusion, flow, viscosity...So the society behaves as a sort of intellectu-al fluid. It may be possible to suggest a modification of plasma computation simulation tech-nique to study the social phenomena. (shrink)

Consumers often buy products not because of their attributes per se but rather because of the ultimate benefits that these attributes provide, in turn leading to the satisfaction of ultimate values. And Apple is a type of company which understand their customers & future aspects of innovation in a way that no other companies do. That’s the reason that apple is at No. 1 place in Top 50 Most innovative companies. This article endeavors to recognize the consumer perception towards the (...) Apple products and what is Apple’s ideology. In this article the researcher has listed down 12 variables which affect the consumer behavior most while purchasing Apple products. The researcher took 50 sample sizes to make this paper and this study is being done in Tiruchirappalli District. To prepare the factors, I have used Factor analysis test. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

يصْدُرُ موسى ابن ميمون (Moïse Maïmonide) (1204 – 1138م) في مؤلّفه ''دَلَالةُ الحَائِرين'' عن رؤيةٍ نقديّةٍ؛ إذ همَّ إلى الأنظار المُكْتَسبة والتقليديّة حول التوراة، وقام بمراجعتها، محاولاً بناء معرفة منطقية عقلية لا تنفي النصّ المقدس وإنما تقرأه في ضوء نظرةٍ فلسفيةٍ ذات راهنية. وما دعاهُ إلى مثل ذلك، هو تتبع واقع النصّ المقدّس على عصره، وما آل إليه واقع التّفسير. إنّ قراءة، أبواب الكتاب وحروفه التي قسّمها إلى ثلاثة أقسام حسب ما ثقفت؛ العنصر الأول، وهو يناقش مفهوم الله الذي أشْكَلَ (...) على الفلاسفة وعلى رجال الدين، فما اتّفِقَ حوله قط، خصوصا في ما يتعلق بخصائص الذات وعلاقتها بالصّفات، مفهوم العالم وفيه مؤاخذات ومواقف كثيرة، لا يكاد يحدُّها حصرٌ، حيثُ أدْرَجَ ابن ميمون هذه المسألة بذكاء حادّ وفطنة يقظة، ليدافع عن فكرة حدوث العالم، و في الأخير مفهوم الإنسان. Maimonides, in his book “Guide for The Perplexed”, produces a critical vision. He has attributed to traditional views of the Torah and reviewed them, attempting to build a rational logical knowledge that does not deny the Torah but reads it in the light of a current philosophical view. What he called for, is to follow the reality of the Sacred texts on his time, and the reality of interpretation. Reading, the doors and letters of the book which he divided into three sections according to what I have learned; the first element, is the concept of God, which cause a problem for philosophers and theologians, what has never been agreed upon, especially with regard to the characteristics of the Godself and its relationship to qualities. the second concept is the World; many attitudes listed this question with sharp intelligence and vigilance, discussing the idea of the “Eternity World”, and at last the concept of Man. (shrink)

Abstract: This study has effectively tackled the critical challenge of accurate calorie prediction in dishes by employing a robust neural network-based model. With an outstanding accuracy rate of 99.32% and a remarkably low average error of 0.009, our model has showcased its proficiency in delivering precise calorie estimations. This achievement equips individuals, healthcare practitioners, and the food industry with a powerful tool to promote healthier dietary choices and elevate awareness of nutrition. Furthermore, our in-depth feature importance analysis has shed light (...) on the indispensable role played by specific nutritional attributes in calorie estimation. This unveiling of crucial factors provides valuable insights for further research endeavors and practical applications. Notably, this research extends its impact beyond the immediate context by making substantial contributions to the domains of nutrition science and dietary planning. It underscores the transformative potential of artificial intelligence, demonstrating how it can revolutionize our approach to food, nutrition, and health. As the world grapples with the challenges of diet-related health issues and environmental concerns, the accuracy and precision achieved in calorie prediction through neural networks represent a significant stride towards more informed and conscientious dietary practices. In this era of data-driven decision-making, our research paves the way for healthier lifestyles, heightened nutritional awareness, and a more health-conscious society. (shrink)

The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...) curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

Feminism has been a good movement with the noble aim of freeing the world from the shackles of an evil superiority of men over women. The principal of feminism as a movement was political equality between men and women. In itself, it was a fair and just course such that it was inclusive of men as well, men were also part of the movement with no insults, threats, and hate speech. But in this technological era some impurities have also crept (...) into it. From the third wave of feminism which is also known as GRRRL feminism which turned the offensive names into jokes and somehow normal to be pronounced in public, things became no longer about equality and respect of humanity. As feminism grew, it became less critical and became more sensitive towards emotions and uncritical amassment of followers. To some extent, being critical about feminism is unacceptable because someone becomes quickly accused of being patriarchal and antifeminism. Indeed, patriarchy is a negative and destructive idea perpetrated by those who were suffering from “testosterone-power-syndrome”. But, when some thinkers like Valenti, Arndt, and Harrow have identified the syndrome and implemented some medication to it, others inject the other side with similarly fatal ideas. I call those ideas “Oestrogen-power-syndrome” because they make their victims think that with collapse of patriarchy, men should be disgraced and be made to feel not existentially necessary. Symptoms of this syndrome start from no more knowing that hating the other sex is wrong and should not be promoted. Writers like Annapuranny and Jansen even perpetrate non progressive talks like “what’s wrong with hating men”, “the world would be better off without men” and many phrases of such destructive nature. But the issue which this paper seeks to address is that there is no philosopher who has critically tackled this matter. In fact, some African philosophers rather reject the whole feminism movement as non-African. Using analytical framework, this research ventures into critical analysis of this issue of feminist extremism coupled with the silence of African philosophers. (shrink)

It aimed to identify the strategic creativity in Islamic banks in Palestine between reality and implementation. The study adopted the descriptive analytical approach. A questionnaire was designed as a tool for the study. The study community consisted of all employees in Islamic banks from the top and middle management and the study has been applied to the Palestinian Islamic bank and the Arab Islamic Bank. The comprehensive inventory method was used, given the small size of the study sample, as questionnaires (...) were distributed to (175) employees, and a number of (5) categories were chosen from each branch of the bank(general manager, deputy general manager, director Branch, department head, department manager). (164) questionnaires have been used Recovered with a recovery rate of (93.71%). The study showed a number of results, the most important of which is the availability of dimensions of strategic innovation at a high level in Islamic banks in Palestine with a relative weight of (82.22%). In addition, that there are no differences between the averages estimates about the reality of the study variables in Islamic banks due to (gender, age group, educational qualification, number of years of service, job title). The study also presented a set of recommendations, including that the bank should provide the environment and the appropriate climate for employees to invest their intellectual energy, urge them to strategic creativity, and deal fairly with all creative ideas regardless of their source. (shrink)

Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...) used in this study comprises chicken images of three different diseases: Newcastle disease, avian influenza, and infectious bursal disease. The proposed method achieved an overall F1-score of 99.04% in classifying the chicken diseases. The results demonstrate the effectiveness of using CNN in classifying chicken diseases and provide a promising approach for early detection and diagnosis of poultry diseases. (shrink)

لا تجدُ الكتبُ المقدّسة واقعيتها إلا حينما تخرج من دائرة الكتابة والمدوّن والطقوسية المغلقة، والمغلّفة بهالة من القدسيّة التي لا يكاد المرء معها أن ينفذ إلى المعاني والمقاصد الحقيقية للنصّ، نحو أفق القراءة المتجددة، وبالتالي سنجدُ أنفسنا أمام نصّ متجدّد لا ينضب معينه. تحقّق الوعي بمسألة العلاقة بين جمود النصّ وفاعلية القراءة في ظل الجدل الذي قام بين الدينيّ والسياسيّ، لحظة حمي الصّراع حول المعنى واقتيدت المعارك تحت ألوية تأويل القرآن، ''فالدين -أيُّ دين- نصوصٌ صامتة بين دفَّتين (= كالقرآن في (...) وصفٍ شهيرٍ للإمام عليّ بن أبي طالب)، والرّجال هُمْ مَن يُنطِقون تلك النصوص على نحوٍ من الأنحاء وتبعاً للمصالح التي تحملهم على إنطاقها على هذا المقتضى أو ذاك (...) يسعُنا أن نحسب المعركة هذه -وهي ممتدة منذ فجر الإسلام- معركة تأويل. وهي كذلك، لأن النصوص ليست ناطقة بذاتها، مثلما قلنا، وإنما محمولة على معانٍ ومضامين يقرّرها المؤوِّلون. (shrink)