Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...) it was evaluated using the testing dataset. The result of testing, the area under receiver operating characteristic curve (AUROC) of the model was 0.99, precision, recall, f1-score and accuracy were 99%, precision, recall, f1-score and accuracy were 96.83%, 96.83%, 96.82% and 96.83% respectively.. Clinicians are presently unaware of dissimilar retinal feature variants between females and males, stressing the importance of model explain ability for the prediction of gender from retinal fundus images. The proposed deep learning may enable clinician-driven automated discovery of novel visions and disease biomarkers. (shrink)

The problem of other minds has a distinguished philosophical history stretching back more than two hundred years. Taken at face value, it is an epistemological question: it concerns how we can have knowledge of, or at least justified belief in, the existence of minds other than our own. In recent decades, philosophers, psychologists, neuroscientists, anthropologists and primatologists have debated a related question: how we actually go about attributing mental states to others (regardless of whether we ever achieve knowledge or rational (...) justification in this domain). Until the mid-nineties, the latter debate – which sometimes goes under the name of the “mindreading” debate – was characterized by a fairly clear-cut opposition between two theoretical outlooks: “theory-theory” (TT) and “simulation theory” (ST). Theory-theorists typically argued that we attribute mental states to others on the basis of a “theory of mind” that is either constructed in early infancy and subsequently revised and modified (Gopnik 1996), or else is the result of maturation of innate mindreading “modules” (Baron-Cohen 1995). (shrink)

This critical edition is the first ever publication of Hale's Of the Law of Nature, which previously existed only in manuscript form. After discussing and defining the law in general, Hale examines the natural law in particular, its discovery and divine origin, and how it relates to both biblical and human laws. Hale's treatise, which was likely written as part of his personal meditations, and was circulated among English lawyers after his death, reveals not only the close relationship between law (...) and theology in his thought, but also the importance of natural law to early modern legal thought. (shrink)

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: 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)

This paper has three main goals. First, to motivate a puzzle about how ignorance-expressing terms like maybe and if interact: they iterate, and when they do they exhibit scopelessness. Second, to argue that there is an ambiguity in our theoretical toolbox, and that exposing that opens the door to a solution to the puzzle. And third, to explore the reach of that solution. Along the way, the paper highlights a number of pleasing properties of two elegant semantic theories, explores some (...) meta-theoretic properties of dynamic notions of meaning, dips its toe into some hazardous waters, and offers characterization theorems for the space of meanings an indicative conditional can have. (shrink)

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

heart attack analysis & prediction dataset is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. (...) A neural network model with four layers (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 88% and an average error of 0078296. The most influential factors in heart failure prediction were found to be oldpeak, ST_Slope, sex, fastingBS, chestPainType, exerciseAngina, cholesterol, restingBP, maxHR, restingBP, and age. This study provides a valuable tool for early detection and intervention of heart failure, thereby contributing to the field of health and medicine. (shrink)

There is a loud and persistent drum beat of support for schools, for citizenship, for diversity and inclusion, and increasingly for labor market readiness with very little critical attention to the assumptions underlying these agendas, let alone to their many internal contradictions. Accordingly, in this book I examine the philosophical, motivational, and practical challenges of education theory, policy, and practice in the twenty-first century. As I proceed, I do not neglect the historical, comparative international context so essential to better understanding (...) where we are, as well as what is attainable in terms of educational justice. I argue that we must constructively critique some of our most cherished beliefs about education if we are to save the hope of real justice from the rhetoric of imagined justice. (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)

Abstract: In, this research embodies the spirit of interdisciplinary collaboration, bringing together data science, healthcare, and public health to address one of the most significant global health challenges in recent history. The achievements of this study underscore the potential of advanced machine learning techniques to enhance our understanding of the pandemic and guide effective decision-making. As we navigate the ongoing battle against COVID-19 and prepare for future health emergencies, the lessons learned from this research serve as a testament to the (...) power of data-driven insights and the unwavering commitment of the global scientific community in the face of adversity. (shrink)

This study presented the policy of functional integration of the product planning team as a strategy for the development of the pharmaceutical industry in Palestine. The study population consists of all the workers in companies operating in the field of medicine in Palestine, which are (5) companies producing in the West Bank only for pharmaceuticals used by these companies, which are (296) employees, and was used a simple random sample to choose the sample and size (87) employees of the study (...) population, and to achieve the objectives of the study (87) questionnaires were distributed. The descriptive analytical method was used, and SPSS was used to answer and discuss the study's questions. The results showed that there is a significant relationship between the effectiveness of the policy of product development and the competitiveness of pharmaceutical companies in Palestine (West Bank), where the policy of product development efficiency accounts for 56.6% of the total change in the competitiveness of companies. The product quality component was most influential at all levels of product development effectiveness policy, followed by product identification, product cost reduction, packaging and product deletion. The weakest areas of strategic direction in pharmaceutical companies in Palestine (West Bank) are 67%. The weakest aspects of job integration are: non-regular meetings of representatives of different positions to participate in any project related to product development, to achieve spatial convergence of members of the product planning policy team in offices, laboratories and workplaces. (shrink)

Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...) Belt" due to its extensive corn production. Corn crops can be grown using a variety of methods, including conventional tillage, no-till farming, and the use of genetically modified crops. Due to its importance, there is a need for discovering the corn diseases and treating them. The aim of this study is to propose a deep learning model for the classification of corn leaf diseases based on Convolutional Neural Network. A model for classifying maize diseases was developed using a dataset for classifying Corn diseases that contains 4 classes of disease. The dataset was collected from Keggel website. The proposed model was trained, validated, and tested. The F1-score (99.83%), Recall (99.83%), precision (99.83%), Accuracy (99.83%). (shrink)

In this book I argue that school integration is not a proxy for educational justice. I demonstrate that the evidence consistently shows the opposite is more typically the case. I then articulate and defend the idea of voluntary separation, which describes the effort to redefine, reclaim and redirect what it means to educate under preexisting conditions of segregation. In doing so, I further demonstrate how voluntary separation is consistent with the liberal democratic requirements of equality and citizenship. The position I (...) defend is not opposed to integration but rather is a justified response to the daily experience of frustration and disappointment with a system that has failed members of marginalized groups for too long. I argue that most voluntary separation experiments in education, far from being motivated by a sense of racial, cultural or religious exclusion, are in fact driven among other things by a desire for a quality education, not to mention community membership and self respect. As such, voluntary separation represents a morally robust pragmatic strategy that is able to answer liberal challenges concerning involuntary stratification, ethnocentrism and democratic deliberation. (shrink)

This article defends the conclusion that the soccer World Cup in Qatar should not be boycotted by rich countries from the Global North. This conclusion is underpinned by considerations about the economic background conditions in guest workers’ home countries. Three arguments are considered for the view that the World Cup should be boycotted. It is argued that each of these arguments is unsound. Section 7 contains a discussion of an argument for a boycott that centers on the process through which (...) Qatar was awarded the World Cup. This argument is rejected. The article lists several ways in which guest workers in Qatar are wronged, but this fact about how guest workers are treated does not justify a boycott by rich countries from the Global North. (shrink)

This article engages with two fundamental attitudes toward animals who are used for human consumption: attention and ironic detachment. Taken as polarities linked with animal consumption and the refusal thereof, I discuss how these two attitudes are shaped and manifested during moments of encounter with the animals in question. Starting from a striking photograph from the Lychee and Dog Meat Festival in China, I explore the embodiment of these attitudes in the “gaze” of human participants during the encounter with animals (...) who are going to be killed for food. (shrink)

Als Plato de hedendaagse academie zou aanschouwen, zou hij niet alleen stomverbaasd zijn over de massificatie en de byzantijnse bureaucratie, maar gezien het ethische doel van de universiteit zou hij ook reden hebben om bezorgd te zijn.

A central debate in philosophy of action concerns whether agential knowledge, the knowledge agents characteristically have of their own actions, is inferential. While inferentialists like Sarah Paul hold that it is inferential, others like Lucy O’Brien and Kieran Setiya argue that it is not. In this paper, I offer a novel argument for the view that agential knowledge is non-inferential, by posing a dilemma for inferentialists: on the first horn, inferentialism is committed to holding that agents have only alienated knowledge (...) of their own actions; on the second horn, inferentialism is caught in a vicious regress. Neither option is attractive, so inferentialism should be rejected. (shrink)

This paper investigates ‘authoritative knowledge’, a neglected species of practical knowledge gained on the basis of exercising practical authority. I argue that, like perceptual knowledge, authoritative knowledge is non-inferential. I then present a broadly reliabilist account of the process by which authority yields knowledge, and use this account to address certain objections.

Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...) 100.0%. However, the best classifier with balanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%, Recall 100.0% and the F1-score 100.0%. (shrink)

Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...) a vital role in supporting human well-being and the health of our planet. . Fishes have a lots of types such that: Red Mullet, Sea Bass, Striped Red Mullet and Shrimp. Each of them has its own shape and characteristics that differ from other types. We proposed a system that recognize nine types of fishes using deep learning. We trained the model with a dataset that contain 9000 images that were slit into 6300 images for training, 1350 for validation and 1350 for testing. The proposed model achieved accuracy (99.68%), precision (99.69%), recall (99.68%), and f1-score (99.68%). This indicates that our proposed model can effectively predicate and classify different types of fish with very high accuracy. (shrink)

It has long been thought that observing distinctive traces of quantum gravity in a laboratory setting is effectively impossible, since gravity is so much weaker than all the other familiar forces in particle physics. But the quantum gravity phenomenology community today seeks to do the (effectively) impossible, using a challenging novel class of `tabletop' Gravitationally Induced Entanglement (GIE) experiments, surveyed here. The hypothesized outcomes of the GIE experiments are claimed by some (but disputed by others) to provide a `witness' of (...) the underlying quantum nature of gravity in the non-relativistic limit, using superpositions of Planck-mass bodies. We inspect what sort of achievement it would possibly be to perform GIE experiments, as proposed, ultimately arguing that the positive claim of witness is equivocal. Despite various sweeping arguments to the contrary in the vicinity of quantum information theory or given low-energy quantum gravity, whether or not one can claim to witness the quantum nature of the gravitational field in these experiments decisively depends on which out of two legitimate modelling paradigms one finds oneself in. However, by situating GIE experiments in a tradition of existing experiments aimed at making gravity interestingly quantum in the laboratory, we argue that, independently of witnessing or paradigms, there are powerful reasons to perform the experiments, and that their successful undertaking would indeed be a major advance in physics. (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)

In this article I examine two basic questions: first, what constitutes a gifted person, and secondly, is there justification in making special educational provision for gifted children, where special provision involves spending more on their education than on the education of ‘normal’ children? I consider a hypothetical case for allocating extra resources for the gifted, and argue that gifted children are generally denied educational justice if they fail to receive an education that adequately challenges them. I further argue that an (...) adequately challenging education is essential to human flourishing, but that most children can be adequately challenged in schools in ways that promote flourishing without doing so at the expense of other children. (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)

Abstract: Fast food refers to quick, convenient, and ready-to-eat meals that are usually sold at chain restaurants or take-out establishments. Fast food is often criticized for its unhealthy ingredients, such as high levels of salt, sugar, and unhealthy fats, and its contribution to the growing obesity epidemic. Despite this, fast food remains popular due to its affordability, convenience, and widespread availability. Many fast food chains have attempted to respond to these criticisms by offering healthier options, such as salads and grilled (...) chicken sandwiches, and by using more natural and locally sourced ingredients. The aim in this paper to propose a deep learning model for the classification of fast food dishes. The proposed model, Xception, was trained on natural images and was fine-tuned to make up the fast food meals. The researchers collected the Fast Food V2 dataset from Kaggle depository, the dataset, contained 20,000 images. The dataset has ten labels of food images comprised of Baked Potato, Burger, Crispy Chicken, Donut, Fries, Hot Dog, Pizza, Sandwich, Taco, and Taquito. The dataset was split into three sets: training, validation and testing. The accuracy, F1-score, recall, precision on the separate test set showed that classification of fast food was accuracy (95.13%), Precision (95.34%), Recall (95.13%), and F1-Score (95.14%). (shrink)

The study aimed to identify the reality of technical education in Palestine. The analytical descriptive method was used in the study. A questionnaire which consisted of 41 paragraphs was distributed randomly to the technical colleges in Gaza Strip. Random sample of (275) employees of these colleges were used, and the response rate was (74.5%). The results showed a high degree of approval for the dimensions of technical education with a relative weight of 76.07%. The ranking and relative weight was as (...) follows: Technical education institutions: 79.51%, graduates of technical education 75.75%, Labor market and local community 72.96%. The researchers propose a number of recommendations, the most important of which is: the need to pay attention to technical education in line with the National Strategic Plan for Higher Education by moving towards technical education. The importance of offering special courses in all technical education programs in these colleges. The researchers urged more future studies that address the same variables as the current study and apply them to other sectors. (shrink)

The study aimed to identify the creative environment of the technical colleges operating in Gaza Strip. The analytical descriptive method was used through a questionnaire which was randomly distributed to 289 employees of the technical colleges in Gaza Strip with a total number of (1168) employees and a response rate equal to (79.2%) of the sample study. The results confirmed the existence of a high degree of approval for the dimensions of the creative environment with a relative weight of (75.19%) (...) according to the perspective of the employees of the technical colleges in Gaza Strip. The results of the study showed a high level of creative environment (fluency, flexibility, originality, sensitivity to problems) in the technical colleges in Gaza Strip, where the field (fluency) ranked first and relative weight (76.86%), in the second place came the area (sense of problems) and relative weight (74.89%). The field of elasticity came in third place with a relative weight of (74.59%). Finally, the field of originality came in fourth and final rank with a relative weight of (74.41%). The results showed that there are differences between the technical colleges in the principles of the creative environment in all fields and the overall degree except for the field of flexibility. The most available colleges in these principles were the university college of applied sciences, and that was the least of the Faculty of Al-Aqsa Society. The results showed that there were differences according to the age variable in the areas of creative environment only in the sense of problems for age groups (less than 30 years) and (from 40 to 50 years). The researchers suggested a number of recommendations, the need to enhance the dimensions of the creative environment in technical colleges by working to improve the faculties of fluency, flexibility, originality and sensitivity to problems. The need to work on continuity and improve aspects of the creative environment of the colleges and the creation of new and innovative ways to support and develop and support these aspects combined. Necessity of technical colleges to continue to develop the creative environment (fluency, flexibility, originality, sensitivity to problems) for employees by engaging them in specialized training courses for creative thinking and problem solving. Developing work procedures with new innovative methods that will accomplish the various tasks quickly and accurately, and provide the effort, time and costs. The researchers urged more future studies that address the same variables of the current study in the field of creative environment and applied to other sectors. (shrink)

Many profess a belief in the importance of school integration. In this essay I argue that the evidence tells against the sincerity of this belief.

Abstract: Vegetables are an essential component of a healthy diet and play a critical role in promoting overall health and well- being. Vegetables are rich in important vitamins and minerals, including vitamin C, folate, potassium, and iron. They also provide fiber, which helps maintain digestive health and prevent chronic diseases. We are proposing a deep learning model for the classification of vegetables. A dataset was collected from Kaggle depository for Vegetable with 15000 images for 15 different classes. The data was (...) preprocessed, normalized and split into three sets (train, valid, test). The proposed model was trained and validated using the train and valid sets and accuracy of both training and validation was very high. For the evaluation of the proposed model we utilized these metrics: accuracy, F1-score, precision, Recall and time required for testing. We then tested the proposed model using the test set. The result of the testing was accuracy (99.95%), F1-score (99.95%), precision (99.95%), Recall (99.95%) and time required for testing the test set was 1.38 seconds. (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)

The aim of the study was to identify the organizational structure and its relation to the prevailing pattern of communication in the Palestinian universities. The researchers used the analytical descriptive method through a questionnaire randomly distributed among Palestinian university workers in the Gaza Strip. The study was conducted on a sample of (274) administrative staff from the three universities, and the response rate was (81.87%). The study found that there is a high satisfaction with the nature of the organizational structure (...) in the Palestinian universities from the point of view of the administrative staff, which reached 68.05%. And that there is a high level of communication pattern prevailing from the point of view of administrative staff, where the percentage (71.32%), there is a direct correlation between the nature of the organizational structure and the prevailing pattern of communication, the absence of differences between the sample according to the gender variable in their perception of the nature of the organizational structure and the prevailing pattern of communication, the absence of differences in the perception of employees of the nature of the organizational structure and the pattern of communication prevailing according to the variable age. There are differences of statistical significance in the perception of the nature of the organizational structure and the pattern of communication depending on the variable of scientific qualification in the organizational structure, and the pattern of communication. Differences were in favor of diploma holders compared to other practical qualifications. There is an absence of differences in the perception of employees of the nature of the organizational structure and the pattern of communication depending on the variable years of service. There is absence of differences in the perception of employees of the nature of the organizational structure and the pattern of communication depending on the variable level of career (Director, Head of Department, and Administrative Officer). There is absence of differences in the perception of employees of the nature of the organizational structure and the pattern of communication depending on the variable of the workplace. And the existence of differences in the perception of the employees of the nature of the organizational structure and pattern of communication depending on the university in which they work. And that there are statistically significant differences between the Islamic University and Al-Azhar University, the nature of the organizational structure and the pattern of communication in favor of the Islamic University. And that there are statistically significant differences between Al-Azhar University and Al-Aqsa University in the prevailing pattern of communication in favor of Al-Azhar University. The study reached a number of recommendations, the most important of which is that the departments of the Palestinian universities in the Gaza Strip in general, Al-Aqsa University and Al-Azhar Universities should be given greater attention to the prevailing organizational structure and the staff, the need to improve the pattern of communication prevalent in universities. Solving workers' problems and giving them the opportunity to contribute to solving their own problems. Strengthening the democratic leadership style and empowering university staff. (shrink)

Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...) take into account the diseases that harm it. The aim of this paper is to diagnose tea diseases based on a dataset containing 8000 picture and 8 classes .The model gave the final accuracy test with an F1-score of 99.41% in an estimated time 3 second, as with these results it proved its effectiveness and good ability in the classification test. (shrink)

Abstract: This study aims to identify the level of creativity in the University of Palestine from the point of view of the employees, as the researchers used the descriptive and analytical method, through a questionnaire distributed to a sample of employees at the University of Palestine, where the size of the study population is (234) employees, and the size of the sample (117) employees, of which (90) employees responded. The study reached a set of results, the most important of which (...) are: A high degree of creativity from the employees 'point of view, and the study confirmed that there were no differences in the level of creativity at the University of Palestine from the Employees point of view, according to demographic variables. The study presented a set of recommendations, the most important of which are: The need for universities to enhance creativity. (shrink)

The study aimed at identifying the intermediate role of the criterion of emphasis on students and beneficiaries in the relationship between adopting the criterion of partnership and resources and achieving the satisfaction of the society. The study used the analytical descriptive method. The study was conducted on university leadership in Al-Azhar, Islamic and Al-Aqsa Universities. The sample of the study consisted of (200) individuals, 182 of whom responded, and the questionnaire was used in collecting the data. The study reached a (...) number of results, the most important of which were: The level of adoption by the Palestinian universities of the criterion of partnership and resources came to a large extent. The level of adoption by the Palestinian universities of the criterion of emphasis on the beneficiary students was very high. The criterion of partnership and resources to achieve the satisfaction of the community surrounding the Palestinian universities, the existence of a statistically significant impact of the adoption of the criterion of partnership and resources to strengthen the focus on students benefiting in Palestinian universities, The focus on the students benefiting from the satisfaction of the community surrounding the Palestinian universities, the existence of a statistically significant impact on the adoption of the criterion of partnership and resources to achieve the satisfaction of the community surrounding the Palestinian universities, The study presented a number of recommendations, most important of which are: Increase interest in the resource and partnership criterion through enhancing the university's resources and developing internal and external partnerships to serve the university and the society. Increase the focus on students and beneficiaries by providing an appropriate educational environment and academic programs that meet the needs of the labor market. Through the strengthening of existing community service centers and the establishment of new community centers, strengthening the partnership of industrial companies and promoting scientific research for the benefit of universities and society. -/- . (shrink)

In this paper, we introduce the concept of ""neutrosophic crisp neighborhoods system for the neutrosophic crisp point ". Added to, we introduce and study the concept of neutrosophic crisp local function, and construct a new type of neutrosophic crisp topological space via neutrosophic crisp ideals. Possible application to GIS topology rules are touched upon.

The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of books. (...) The prediction is based on these features (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which were used as input variables and (average_rating) as output variable for our ANN model. Our model were created, trained, and validated using data set in JNN environment, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.78% of the validation samples. (shrink)

In this paper I argue that self-respect constitutes an important value, and further, serves as an important basis for equality. I also argue that under conditions of inequality-producing segregation, voluntary separation in schooling may be more likely to provide the resources necessary for self respect. Accordingly, I defend a prima facie case of voluntary separation for stigmatized minorities when equality – as equal status and treatment – is not an option under either the terms of integration or involuntary segregation.

Scholars have long debated the relationship between Kant’s doctrine of right and his doctrine of virtue (including his moral religion or ethico-theology), which are the two branches of his moral philosophy. This article will examine the intimate connection in his practical philosophy between perpetual peace and the highest good, between political and ethico-religious communities, and between the types of transparency peculiar to each. It will show how domestic and international right provides a framework for the development of ethical communities, including (...) a kingdom of ends and even the noumenal ethical community of an afterlife, and how the transparency and trust achieved in these communities is anticipated in rightful political society by publicity and the mutual confidence among citizens that it engenders. Finally, it will explore the implications of this synthesis of Kant’s political and religious philosophies for contemporary Kantian political theories, especially those of Jürgen Habermas and John Rawls. (shrink)

The processing of time intervals in the sub- to supra-second range by the brain is critical for the interaction of primates with their surroundings in activities, such as foraging and hunting. For an accurate processing of time intervals by the brain, representation of physical time within neuronal circuits is necessary. I propose that time dimension of the physical surrounding is represented in the brain by different types of neuronal oscillators, generating spikes or spike bursts at regular intervals. The proposed oscillators (...) include the pacemaker neurons, tonic inputs, and synchronized excitation and inhibition of inter-connected neurons. Oscillators, which are built inside various circuits of brain, help to form modular clocks, processing time intervals or other temporal characteristics specific to functions of a circuit. Relative or absolute duration is represented within neuronal oscillators by “neural temporal unit,” defined as the interval between regularly occurring spikes or spike bursts. Oscillator output is processed to produce changes in activities of neurons, named frequency modulator neuron, wired within a separate module, represented by the rate of change in frequency, and frequency of activities, proposed to encode time intervals. Inbuilt oscillators are calibrated by (a) feedback processes, (b) input of time intervals resulting from rhythmic external sensory stimulation, and (c) synchronous effects of feedback processes and evoked sensory activity. A single active clock is proposed per circuit, which is calibrated by one or more mechanisms. Multiple calibration mechanisms, inbuilt oscillators, and the presence of modular connections prevent a complete loss of interval timing functions of the brain. (shrink)

What is Comparative Philosophy? -/- Synkretic: Journal of Indo-pacific Philosophy.

Metaphors for describing the introduction, impacts, and management of non-native species are numerous and often quite outspoken. Policy-makers have adopted increasingly disputed metaphorical terms from scientific discourse. We performed a critical analysis of the use of strong metaphors in reporting scientific findings to policy-makers. Our analysis shows that perceptions of harm, invasiveness or nativeness are dynamic and inevitably display multiple narratives in science, policy or management. Improving our awareness of multiple expert and stakeholder narratives that exist in the context of (...) non-native species management, as well as metaphorical alternatives, is critical. (shrink)

The study zeroed in on the perception of college students who are exposed to sights of poverty in their immediate environment. The student-participants were asked to provide their perception, understanding, and behaviour towards poverty using the photographs that they took on their own. In qualitative research practice, this methodology is called photo elicitation. It was revealed, among others, that the participants have shown negative perceptions about poverty. They strongly felt bad about each photograph that they took and what these images (...) portrayed. The participants visualized their community and thereby weaved analyses and opinions that encroached on various philosophical and sociological theories. There are four interrelated dominant images that were drawn: exteriority image, dirt-poor image, victim-blaming image, and hand-to-mouth image. (shrink)

This article examines A.J. Heschel’s “Theology of pathos” in light of the critique Eliezer Berkovits raised against it. Heschel’s theology of pathos is the notion of God as the “most moved mover”, who cares deeply for humans, and thus highly influencing their prophetic motivation for human-social improvement. Berkovits, expressing the negative-transcendent theology of Maimonides, assessed that Heschel’s theology of pathos is not systematic, is anthropomorphic, and reflects a foreign Christian influence. However, when checking Berkovits’s own views as a thinker, it (...) turns out that he formulated some immanent theological notions that were overlapping those of Heschel, for example in attributing God the personal trait of caring. Surprisingly, most Heschel’s scholars did not consider this point. This riddle addressed here in two ways: (1) Psychological and Social, on which I understand Berkovits’s critique as a way of coping with his own religious perplexities, and in a wider sense, it is asserted that trans-denominational critique may be a discursive opportunity for mutual corrigibility. (2) Theological, since Heschel and Berkovits indeed faced a similar theological challenge, of rejecting any description of God as anthropomorphism. I thus offer a constructive theological argument for providing a justification to the immanent theologies of both Heschel and Berkovits. (shrink)

In this paper we provide a defence of cosmopolitanism from a liberal perspective, examining its moral underpinnings, including moral obligations predicated on a belief in common humanity and the fundamental dignity of human people, cultural capacities that include an embrace of pluralism and a fallibilist disposition, and pragmatist resolve in finding humanitarian solutions to real problems that people face. We also scrutinise the ideal of cosmopolitanism by considering the ‘deeply religious’ as the sort of people about whom it may be (...) said that irreconcilable tensions exist between certain types of commitment and/or belonging and what the demands of cosmopolitanism involve. (shrink)

The ideological interface between Muslims and liberal educators undoubtedly is strained in the realm of sex education, and perhaps on no topic more so than homosexuality. Some argue that schools should not try to ‘undermine the faith’ of Muslims, who object to teaching homosexuality as an ‘acceptable alternative lifestyle’. In this article, I will argue against this monolithic presentation of Islam. Furthermore, I will argue that a narrow view of Islam is neglectful of gay and lesbian Muslims who are particularly (...) vulnerable to the unrepentant hostilities of their own communities. (shrink)

This paper initiates a dialogue between classical Islamic philosophy and late modern European thought, by focusing on two peripheral, ‘heretical’ figures within these traditions: Abū Bakr Muḥammad ibn Zakariyāʾ al-Rāzī and Friedrich Nietzsche. What affiliates these thinkers across the cultural and historical chasm that separates them is their mutual fascination with, and profound indebtedness to, ancient Greek and Hellenistic philosophy. Given the specific themes, concerns and doctrines that they appropriate from this common source, I argue that al-Rāzī and Nietzsche should (...) be read as Epicureans and seen in relation to their predecessor as part of the subterranean tradition of philosophical naturalism. However, while each figure appropriates the philosophy of Epicurus, they ultimately transform it in important ways: al-Rāzī offers us a qualified “Platonic” Epicureanism, while Nietzsche forges a radicalized “Dionysian” Epicureanism. The point of such a comparative examination is twofold. First, analyzing the divergent paths of these “wayward” Epicureans sheds new light on the historical trajectory of naturalism as a philosophical stance (as well as its current prospects and limitations). Second, by initiating a dialogue between the classical Islamic and modern European philosophical traditions, we can better understand the antagonisms and shared concerns between these two horizons, as well as the ambiguities and self-questioning that occur within them. (shrink)

This article analyses the general economy of Georges Bataille (1897–1962) in relation to political economy. In the first section I present a critical perspective on economy that is necessary in order to appreciate Bataille’s conception of general economy, which is presented in the second section. The general economy is first considered in a macro-perspective, which comprises the whole of the universe, second in a micro-perspective, where the subjective aspect of economy is maintained as non-objectified desire and inner experience. In the (...) third section I turn to the general economy as it was explicitly intended, namely as a political economy. First I argue that the suggestions that Bataille himself presents are apolitical in an ordinary sense of politics, and that this can be shown to be due to some conceptual slides between nature and society and between history and ontology. I then sketch some postmodern attempts to legitimize respectively capitalism and communism, which refer to the general economy, but argue finally that Bataille can escape both, since he maintains the important distinction between need and desire. Although Bataille’s conception of economy thus reminds us of aspects often overlooked by economy in an ordinary sense, it also contains some serious aporias, which means that it cannot constitute the theoretical basis of a new general political economy, as Bataille had hoped. (shrink)

This paper explores how the diagnosis of mental disorder may affect the diagnosed subject’s self-concept by supplying an account that emphasizes the influence of autobiographical and social narratives on self-understanding. It focuses primarily on the diagnoses made according to the criteria provided by the Diagnostic Statistical Manual of Mental Disorders (DSM), and suggests that the DSM diagnosis may function as a source of narrative that affects the subject’s self-concept. Engaging in this analysis by appealing to autobiographies and memoirs written by (...) people diagnosed with mental disorder, the paper concludes that a DSM diagnosis is a double-edged sword for self- concept. On the one hand, it sets the subject’s experience in an established classificatory system which can facilitate self-understanding by providing insight into subject’s condition and guiding her personal growth, as well as treatment and recovery. In this sense, the DSM diagnosis may have positive repercussions on self-development. On the other hand, however, given the DSM’s symptom-based approach and its adoption of the Biomedical Disease model, a diagnosis may force the subject to make sense of her condition divorced from other elements in her life that may be affecting her mental- health. It may lead her frame her experience only as an irreversible imbalance. This form of self-understanding may set limits on the subject’s hopes of recovery and may create impediments to her flourishing. (shrink)

Een veelgehoorde kritiek op islamitische scholen is dat kinderen er worden geïndoctrineerd en dat dit in strijd is met het doel van onderwijs in een democratische samenleving. Dit artikel onderzoekt de principiële vraag of ouders ervoor zouden kunnen kiezen om hun kind naar een school te sturen waar hij of zij geïndoctrineerd wordt, bijvoorbeeld omdat zij denken dat het kind op een religieuze school minder kans loopt te worden gestigmatiseerd. Daarnaast wordt bekeken of het waarschijnlijk is dat kinderen op islamitische (...) scholen in Nederland daadwerkelijk geïndoctrineerd worden. (shrink)