The objective of Working Group 4 of the COST Action NET4Age-Friendly is to examine existing policies, advocacy, and funding opportunities and to build up relations with policy makers and funding organisations. Also, to synthesize and improve existing knowledge and models to develop from effective business and evaluation models, as well as to guarantee quality and education, proper dissemination and ensure the future of the Action. The Working Group further aims to enable capacity building to improve interdisciplinary participation, to promote knowledge (...) exchange and to foster a cross-European interdisciplinary research capacity, to improve cooperation and co-creation with cross-sectors stakeholders and to introduce and educate students SHAFE implementation and sustainability. To enable the achievement of the objectives of Working Group 4, the Leader of the Working Group, the Chair and Vice-Chair, in close cooperation with the Science Communication Coordinator, developed a template to map the current state of SHAFE policies, funding opportunities and networking in the COST member countries of the Action. On invitation, the Working Group lead received contributions from 37 countries, in a total of 85 Action members. The contributions provide an overview of the diversity of SHAFE policies and opportunities in Europe and beyond. These were not edited or revised and are a result of the main areas of expertise and knowledge of the contributors; thus, gaps in areas or content are possible and these shall be further explored in the following works and reports of this WG. But this preliminary mapping is of huge importance to proceed with the WG activities. In the following chapters, an introduction on the need of SHAFE policies is presented, followed by a summary of the main approaches to be pursued for the next period of work. The deliverable finishes with the opportunities of capacity building, networking and funding that will be relevant to undertake within the frame of Working Group 4 and the total COST Action. The total of country contributions is presented in the annex of this deliverable. (shrink)

In recent years, a large amount of scholarship has been written about St Thomas Aquinas's views on free will and determinism. This paper is an attempt to bring some Thomist views of libertarian free will into dialogue with analytic philosopher Peter van Inwagen and his ‘mysterianism’ about free will. The thesis of this paper is that Thomist libertarians about free will are committed to Peter van Inwagen's mysterianism about free will. The paper intends to accomplish this aim by showing how (...) recent accounts of Thomist libertarianism cannot defeat the intuitive strength of van Inwagen's ‘Replay argument’. The significance of this conclusion is that some Thomists are committed to mysterianism and that mysterianism is a legitimate position a Thomist can hold. This also provides evidence that the Thomist tradition can grow and be nourished by engagement with contemporary analytic philosophy. (shrink)

Essentially intentional actions are kinds of action that can only be done intentionally. Essentialism is the view that essentially intentional actions exist. Accidentalism is the view that essentialism is false. In my thesis, I develop and argue for naïve essentialism, a species of essentialism based on Michael Thompson’s naïve action theory. First, I present key features of naïve action theory and the broader Anscombean tradition, distinguish between essentially and accidentally intentional actions, and provide an argument for the existence of essentially (...) intentional actions. Second, I respond to three objections to my argument. Third, I argue that accidentalism is a reductive approach to action and faces some standard problems to such approaches. Fourth, I present three noteworthy implications of my defense of essentialism for the philosophy of mind and action. (shrink)

comparative civilizations in relation to cyclical versus linear concepts of time; translation, intertemporal encounters, and their political ramifications (including international relations); extends Koselleck's _Begriffsgeschichte_ by engaging it in a critical dialogue with translation studies.

Prof. Devinder Singh Chahal, an international microbiologist, having worked at various prestigious universities in India and the USA, migrated to Canada in 1975. In Canada, firstly, he worked at the University of Waterloo, Ontario and later on at Institut Armand‐Frappier, Université du Québec, Laval, Québec. He retired as a Professor of Industrial Microbiology in 1996. In his long career as a microbiologist, he is credited with the discovery of two new species of fungi, three scientific books, numerous research articles (...) and five patents. He has published 6 books and several articles on the scientific and logical interpretation of Gurbani. He played an instrumental role in establishing the Institute of Understanding Sikhism, Laval, Quebec. Presently, he is working as honorary Editor‐in‐Chief of "Understanding Sikhism: The Research Journal." Besides, he is a member of the Advisory Committee of SGGS Study Centre, G.N.D. University, Amritsar since 2011. He has been honoured for his services to Sikhism by several Sikh organizations e.g., SGPC, Amritsar; DSGMC, New Delhi and SGGS World University, Fatehgarh, Punjab. A renowned microbiologist and a noted Sikh theologian, Prof. Chahal, is a founder member of the School of Scientific and Logical Interpretation of Gurbani. He is committed to bringing out the truth of Gurbani, logically, rationally and scientifically. With his scientific training and devotion to Gurbani, he is eminently qualified to do so. Prof Chahal adheres that Nanakian Philosophy is perennial and universal in its approach to understand Cosmology, Nature, life and human behaviour in the present era. In his works, he portrays intellectually courageous and authentic attempts to interpret Guru Nanak's verses logically and scientifically, to create an accurate understanding of the Guru's messages. His scientific background and professional life as a scientist have undoubtedly influenced his choice of paradigm and perspective. Prof Chahal asserts that Guru Nanak, his philosophy, his bani, his Sikhi, and the Guru Granth Sahib delineate the basics befitting the 21st century. His views on various aspects of Nanakian Philosophy are presented here for the benefit of readers:. (shrink)

The Louvre Museum is the largest of the world's art museums by its exhibition surface. These represent the Western art of the Middle Ages in 1848, those of the ancient civilizations that preceded and influenced it (Oriental, Egyptian, Greek, Etruscan and Roman), and the arts of early Christians and Islam. At the origin of the Louvre existed a castle, built by King Philip Augustus in 1190, and occupying the southwest quarter of the current Cour Carrée. In 1594, Henri IV decided (...) to unite the palace of the Louvre with the palace of the Tuileries built by Catherine de Medicis. The Cour Carrée was built by the architects Lemercier and then Le Vau, under the reign of Louis XIII and Louis XIV. The Department of Paintings currently has about 7,500 paintings (of which 3,400 are exposed), covering a period that goes from the Middle Ages to 1848 (date of the beginning of the Second Republic). By including the deposits, the collection is, with 12,660 works, the largest collection of ancient paintings in the world. With rare exceptions, the works after 1848 were transferred to the Musée d'Orsay when it was created in 1986. CONTENTS: Louvre Museum - Variety of exhibited works - The Royal Palace - The collections - - Eastern antiquities - - Arts of Islam - - Egyptian Antiquities - - Greek, Etruscan and Roman Antiquities - - Paintings - - - French school - - - Northern Schools (Flanders, Netherlands, Germany) - - - Italian School - - - Other schools Painting - Definitions - Painting genres - - The landscape - - Still life Paintings - FRANCOIS BOUCHER - - Vulcan presenting arms to Venus for Aeneas - RAPHAEL - - Portrait of Baldassare Castiglione - RUBENS - - Helena Fourment with children - LOUIS DAVID - - Madame Récamier - REMBRANDT - - Portrait of Heindrickje Stoffels - VELAZQUEZ - - Portrait of the Infanta Margarita - SIMONE MEMMI - - Jesus Christ walking on Calvary - JAN STEEN - - The Bad Company - HANS HOLBEIN - - Erasmus - CORREGGIO - - Mystic Marriage of Saint Catherine - LANCRET - - Conversation - JAN VAN DER MEER (VERMEER) - - The Lacemaker - VAN DYCK - - Charles I at the Hunt - FRANÇOIS CLOUET - - Elisabeth of Austria (1554-1592), Wife of Charles IX and Queen of France (1570 - 1574) - DELACROIX - - The Barque of Dante - EL GRECO - - Saint Louis, King of France, and a page - REMBRANDT - - Pilgrims at Emmaus (The Supper at Emmaus) - GERARD DAVID - - Marriage at Cana - RAPHAEL - - Portrait of Dona Isabel de Requesens, Vice-Queen of Naples - RUBENS - - La Kermesse (The Village Fête, or Noce de village) - FRANS HALS - - The Gypsy Girl - DECAMPS - - The Sonneurs - HOLBEIN THE YOUNGER - - Anne of Cleves - P. PRUD’HON - - Psyche transported to Heaven - PHILIPPE DE CHAMPAIGNE - - Portrait of Richelieu - LANCRET - - The Autumn - L. DAVID - - Madame Seriziat - COROT - - Recollection of Mortefontaine - LEONARDO DA VINCI - - La belle ferronnière - CORREGGIO - - Venus and Cupid with a Satyr - WATTEAU - - Pilgrimage to Cythera (The Embarkation for Cythera) - NICOLAS POUSSIN - - The Inspiration of the Poet - PRUD’HON - - The Empress Josephine (1763-1814) - FRAGONARD - - The Bathers - H. RIGAUD - - Louis XIV (1638–1715) - TERBURG - - The Concert - LEOPOLD ROBERT - - The Pilgrimage to the Madonna of the Arch - LARGILLIERE - - Family Portrait - MANTEGNA - - Parnassus - MEMLING - - The Virgin and Child between St James and St Dominic - FRAGONARD - - The Music Lesson - JEAN VAN EYCK - - The Virgin of chancellor Rolin - PAOLO VERONESE - - Susannah and the Elders - FRANÇOIS BOUCHER - - Diana leaving her bath - GÉRICAULT - - The Raft of the Medusa - MURILLO - - Assumption of the Virgin - CLAUDE GELLEE (LORRAIN) - - Ulysses returning Chryseis to her father (Marine, setting sun) - INGRES - - Madame Riviere - E. MURILLO - - The Young Beggar - GREUZE - - The Broken Pitcher - PIETER DE HOOCH - - Card players in an opulent interior - POUSSIN - - Et in Arcadia ego - QUENTIN MATSYS - - The moneylender and his wife - ANDREA SOLARIO - - Madonna with the Green Cushion - TITIEN - - Woman with a Mirror - DAVID TENIERS (the Younger) - - The Works of Mercy - LEONARDO DA VINCI - - Mona Lisa (La Gioconda) - Armand Dayot . (shrink)

This paper discusses two approaches of the relationship between subjectivity and intersubjectivity. The Husserlian one, a transcendental phenomenological investigation of the possibility of subjectivity and intersubjectivity, and the Waldenfelsian one, an ethical phenomenological investigation of day to day intersubjective interactions. Both authors pretend to give account of the conditions of possibility of intersubjective interaction. However, Husserl starts with the investigation of the transcendental structure of subjectivity, that is, the fundamental conditions required for the appearance of consciousness. By contrast, Waldenfels looks (...) first at practical interaction and draws conclusions on the deeper structure of subjectivity based on the traces he discovers to be characteristic for this interaction. Our interest lies in determining which of the two approaches should be given priority for the investigation of the constitution of intersubjectivity. (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)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...) presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to distinguish between can sarcasm (...) none sarcasm automatically is very important. The aim of the study is to build a sarcasm model that detect headline news using machine and deep learning and attempt to understand how a computer learns the patterns of sarcasm. The dataset used in this study was collected from Kaggle depository. We examined 21 algorithms of machine learning and one deep learning algorithm for detecting sarcasm in headline news. The evaluation metric used in this study are Accuracy, F1-measure, Recall, Precision, and Time needed for training and evaluation. The deep learning model achieved accuracy (95.27%), recall (96.62%), precision (94.15%), F1-score (95.37%) and time needed to train the mode (400 seconds), with loss of around 0.3398. However, the algorithm of machine learning that achieved the highest F1-Score is Passive Aggressive Classifier. It was the top classier for sarcasm detection among the machine learning algorithms with accuracy (95.50%), recall (96.09 %), precision (94.30%), F1-score (95.19%) and time needed to train the mode (0.31 seconds). (shrink)

Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to distinguish between can sarcasm (...) none sarcasm automatically is very important. The aim of the study is to build a sarcasm model that detect headline news using machine and deep learning and attempt to understand how a computer learns the patterns of sarcasm. The dataset used in this study was collected from Kaggle depository. We examined 21 algorithms of machine learning and one deep learning algorithm for detecting sarcasm in headline news. The evaluation metric used in this study are Accuracy, F1-measure, Recall, Precision, and Time needed for training and evaluation. The deep learning model achieved accuracy (95.27%), recall (96.62%), precision (94.15%), F1-score (95.37%) and time needed to train the mode (400 seconds), with loss of around 0.3398. However, the algorithm of machine learning that achieved the highest F1-Score is Passive Aggressive Classifier. It was the top classier for sarcasm detection among the machine learning algorithms with accuracy (95.50%), recall (96.09 %), precision (94.30%), F1-score (95.19%) and time needed to train the mode (0.31 seconds). (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

As these opening quotes acknowledge, the Prisoner’s Dilemma (PD) represents a core puzzle within the formal mathematics of game theory.3 Its rise in conspicuity is evident figure 2.1 above demonstrating a relatively steady rise in incidences of the phrase’s usage between 1960 to 1995, with a stable presence persisting into the twenty first century. This famous two-person “game,” with a stock narrative cast in terms of two prisoners who each independently must choose whether to remain silent or speak, each advancing (...) self-interest at the expense of the other and thereby achieving a mutually suboptimal outcome, mires any social interaction it is applied to into perplexity. The logic of this game proves the inverse of Adam Smith’s invisible hand: individuals acting on self interest will achieve a mutually suboptimal outcome. However, as this chapter illuminates, the assumptions underlying game theory drive this conclusion. (shrink)

Brain tumors pose significant challenges in modern healthcare, with accurate and timely diagnosis crucial for determining appropriate treatment strategies. Artificial intelligence has made significant advancements in recent years. Rule-based expert systems (if-then rule-based systems) have emerged as a promising approach for clinical decision-making in brain tumor diagnosis. In this paper, we present "A CLIPS-Based Expert System for Brain Tumor Diagnosis," which leverages a set of 14 if-then rules to diagnose brain tumors with three possible outcomes: 1) Confirm the diagnosis of (...) a brain tumor, 2) Consider the possibility of a brain tumor that has metastasized, and 3) Consider the possibility of a brain tumor. Our expert system offers a user-friendly interface, enabling users to select symptoms and receive a diagnosis based on the provided information. This paper discusses the expert system's development, implementation, and evaluation, highlighting its potential to facilitate brain tumor diagnosis and decision-making in clinical settings. Additionally, we provide a literature review that contextualizes our expert system within the broader landscape of rule-based expert systems for brain tumor diagnosis, examining their effectiveness, limitations, and challenges. (shrink)

This volume has its roots in two recent developments within mainstream analytic epistemology: a growing recognition over the past two or three decades of the active and social nature of our epistemic lives; and, more recently still, the increasing appreciation of the various ways in which the epistemic practices of individuals and societies can, and often do, go wrong. The theoretical analysis of these breakdowns in epistemic practice, along with the various harms and wrongs that follow as a consequence, constitutes (...) an approach to epistemology that we refer to as non-ideal epistemology. In this introductory chapter we introduce and contextualise the ten essays that comprise this volume, situating them within four broad sub-fields: vice epistemology, epistemic injustice, inter-personal epistemic practices, and applied epistemology. We also provide a brief overview of several other important growth areas in non-ideal epistemology. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Abstract: Networking is one of the most important areas currently used for data transfer and enterprise management. It also includes the security aspect that enables us to protect our network to prevent hackers from accessing the organization's data. In this paper, we would like to learn what the network is and how it works. And what are the basics of the network since its emergence and know the mechanism of action components. After reading this paper - even if you do (...) not have a general background on networking - you will be able to manage your own network and be able to distribute and control your ip. (shrink)

The study aimed to identify the leadership features and their relationship to increasing achievement motivation among Palestinian police employees in Gaza Strip in light of the Corona pandemic. To achieve the study’s objectives, the researchers used the descriptive method in its analytical method, using a questionnaire applied to the police officers at the Central Governorate Police Station, whose number is (113) individuals. They were chosen in a stratified, random manner, and the study resulted in a set of results, the most (...) important of which is that the effect of leadership characteristics of Palestinian police employees in Gaza Strip, which came with a relative weight (76.20%), which is, to a large extent, the level of increase in achievement motivation among employees in the Palestinian Police in Gaza Strip. Gaza under the outbreak of the Corona epidemic? Which came with a relative weight (82.40%), which is to a large extent. While it resulted in a positive correlation between the impact of leadership characteristics and the increase in achievement motivation, there are no statistically significant differences between the averages of the study sample's estimates about the impact The leadership characteristics of the Palestinian Police in Gaza Strip are attributed to the variable of the age group, academic qualification, scientific specialization, scientific experience. There are no statistically significant differences between the averages of the estimates of the individuals of the study sample about The achievement motivation in the Palestinian Police in Gaza Strip is attributable to a variable, age group, academic qualification, scientific specialization, scientific experience, and in light of these results the researchers suggested a set of recommendations, the most important of which are: The need to tighten penalties for individuals by the Central Governorate Police Station for violating the instructions issued by the Ministry Interior In light of the outbreak of the Corona epidemic, increased interest in preparing and organizing specialized training courses and programs in the field of dealing with all different segments in order to preserve the lives of people from the Corona epidemic. (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)

Many academics and researchers who publish scholarly articles on Plato’s philosophy of education claim that the ultimate educational goal for Plato is simply the acquisition of virtues. While such a claim may not be entirely incorrect, it is nevertheless substantially wanting; for although the acquisition of virtue is no doubt paramount, for Plato it primarily serves as a means to another end. In this paper, I aim to show that, for Plato, the final summit of all educational enterprise is not (...) really to become virtuous but rather to attain the state of becoming like God, and that is, homoiōsis theōi. -/- . (shrink)

There are three questions associated with Simpson’s Paradox (SP): (i) Why is SP paradoxical? (ii) What conditions generate SP?, and (iii) What should be done about SP? By developing a logic-based account of SP, it is argued that (i) and (ii) must be divorced from (iii). This account shows that (i) and (ii) have nothing to do with causality, which plays a role only in addressing (iii). A counterexample is also presented against the causal account. Finally, the causal and logic-based (...) approaches are compared by means of an experiment to show that SP is not basically causal. (shrink)

The aim of this study is to explore the relationship between the decision support systems and re-engineering in the Palestinian universities in Gaza Strip. A descriptive approach was used where a questionnaire was developed and distributed to a stratified random Sample. (500) questionnaires were distributed and (449) were returned, response rate (89.8%). The study reached many results such as: There is A statistically significant relationship at a significant level (α ≤ 0.04) between the decision support systems and re-engineering in the (...) universities under investigation. There are differences in the answers of the respondents concerning the relationship between decision support systems and re-engineering due to the gender of the respondents in favor of the males. There are differences in the answers of the respondents for the dimension (managerial support for the decision support systems) in favor of those in the age group between (45-55) years and more than (55) years, and due to the educational level in favor of those holding master degrees, and due to the name of the university in favor of the Islamic university, Al azhar university, Al aqsa university, respectively and due to the years of experience in favor of those who have (15-20) years of experience and (21) years and more. The study reached many Conclusions such as: In order to be able to cope with globalization and its technical aspects, the Palestinian universities in Gaza should focus on the process of re-engineering. The importance of this tendency should be clarified to the top management of these universities specially those who are not willing to do so. The universities should be encouraged to start implementing it’s re-engineering programs while developing the infrastructure for their information technology as a whole, and the decision support systems in particular. The top management in the universities should increase their dependence, support and use of the decision support systems in the decision-making process. The top management should also diagnose the problems and encourage the employees to use the decision support systems and overcome the obstacles that may hinder the development of the decision support systems. (shrink)

This paper argues that Immanuel Kant’s practical philosophy contains a coherent, albeit implicit, defense of the legitimacy of capital punishment, one that refutes the most important objections leveled against it. I first show that Kant is consistent in his application of the ius talionis. I then explain how Kant can respond to the claim that death penalty violates the inviolable right to life. To address the most significant objection – the claim that execution violates human dignity – I argue that (...) motives of honor, as Kant conceives it, require a rational person to will her own execution, were she to commit murder. (shrink)

Although social scientists have identified diverse behavioral patterns among children from dissimilarly structured families, marketing scholars have progressed little in relating family structure to consumption-related decisions. In particular, the roles played by members of single-mother families—which may include live-in grandparents, mother’s unmarried partner, and step-father with or without step-sibling(s)—may affect children’s influence on consumption-related decisions. For example, to offset a parental authority dynamic introduced by a new stepfather, the work-related constraints imposed on a breadwinning mother, or the imposition of adult-level (...) household responsibilities on children, single-mother families may attend more to their children’s product preferences. -/- Without a profile that includes socio-economic, behavioral, and psychological aspects, efficient and socially responsible marketing to single-mother households is compromised. Relative to dual-parent families, single-mother families tend to have fewer resources and less buying power, children who consume more materialistic and compulsively, and children who more strongly influence decision making for both own-use and family-use products. Timely research would ensure that these and other tendencies now differentiate single-mother from dual-parent families in ways that marketers should address. Hence, our threefold goal is (1) to consolidate and highlight gaps in existing theory applied to studying children’s influence on consumption-related decision making in single-mother families, and (2) to propose a hybrid framework that merges two theories conducive to such research, and (3) to identify promising research propositions for future research. (shrink)

This essay represents a novel contribution to Nietzschean studies by combining an assessment of Friedrich Nietzsche’s challenging uses of “truth” and the “eternal return” with his insights drawn from Indian philosophies. Specifically, drawing on Martin Heidegger’s Nietzsche, I argue that Nietzsche’s critique of a static philosophy of being underpinning conceptual truth is best understood in line with the Theravada Buddhist critique of “self ” and “ego” as transitory. In conclusion, I find that Nietzsche’s “eternal return” can be understood as a (...) direct inversion of “nirvana”: Nietzsche celebrates profound attachment to each and every moment, independent from its pleasurable or distasteful registry. (shrink)

This paper critically engages Philip Mirowki's essay, "The scientific dimensions of social knowledge and their distant echoes in 20th-century American philosophy of science." It argues that although the cold war context of anti-democratic elitism best suited for making decisions about engaging in nuclear war may seem to be politically and ideologically motivated, in fact we need to carefully consider the arguments underlying the new rational choice based political philosophies of the post-WWII era typified by Arrow's impossibility theorem. A distrust of (...) democratic decision-making principles may be developed by social scientists whose leanings may be toward the left or right side of the spectrum of political practices. (shrink)

This paper proposes a philosophically informed decision-making methodology, inspired by Aristotle, that encourages constructive discussions amongst employers and employees; is directed towards shared higher-level goals; is consistent with planning frameworks already in place in many businesses; can be amended over time without disruptive disputes; and accounts for the particularities of each industry, enterprise, workplace, and job. It seeks to establish a more fundamental basis for discussions about remote vs. in-person office work: specifically, the purpose and nature of the work of (...) those affected. If these matters can be decided, then subsequent discussions might be focused more upon the shared outcomes to which stakeholders are committed and less upon individual preferences and ‘hunches.’. (shrink)

An e-learning system is increasingly gaining popularity in the academic community because of several benefits of learning anywhere anyplace and anytime. An Intelligent Tutoring System (ITS) is a computer system that aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher.(ITSB) is the tutoring system Builder Which designed and improved to help teachers in building intelligent tutoring system in many fields. In this paper, we have an example and an evaluating are (...) presented of building an intelligent tutoring system for teaching TOEFL using ITSB tool. (shrink)

This paper traces two contradicting beliefs about death and immortality in the writings of Rabbi Hayyim Hirschensohn, and examines these opposing beliefs in his Halakhic ruling, in the case of Autopsies. The paper opens by conceptualizing two possible attitudes regarding the relation between this-world and the ʽother-world’, and by analyzing two main beliefs regarding death and immortality in their relation to the body-spirit distinction (the naturalistic and the spiritualistic approach). It demonstrates how Hirschensohn was holding these two different views. The (...) paper then moves to examine whether his halakhic ruling may help us in understanding which approach was Hirschensohn’s favorable belief, by investigating his halakhic ruling regarding autopsies. Hirschensohn permits to perform such surgeries, however subject to some halakhic limitations. The paper concludes that the naturalistic belief regarding death appears to be the more dominant one in his thought. Finally, I point out a few consequences of this paper, for addressing some contemporary ethical dilemmas regarding human corpses. (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)

The paper argues that the moral philosophy of Thomas Hobbes is unified by a complex conception of reason that imposes consistency norms of both rationality and reasonableness. Hobbes’s conceptions of rightness as reciprocity, and moral goodness as sociability belong to an original and attractive moral theory that is neither teleological nor classically deontological, nor as interpreters have variously argued, subjectivist, contractarian, egoist, or dependent on divine command.

In the first chapter of his Knowledge and Lotteries, John Hawthorne argues that thinkers do not ordinarily know lottery propositions. His arguments depend on claims about the intimate connections between knowledge and assertion, epistemic possibility, practical reasoning, and theoretical reasoning. In this paper, we cast doubt on the proposed connections. We also put forward an alternative picture of belief and reasoning. In particular, we argue that assertion is governed by a Gricean constraint that makes no reference to knowledge, and that (...) practical reasoning has more to do with rational degrees of belief than with states of knowledge. (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)

Here we present what we believe is a novel account of what languages are, along with an axiomatically rich representation of languages and language-related data that is based on this account. We propose an account of languages as aggregates of dispositions distributed across aggregates of persons, and in doing so we address linguistic competences and the processes that realize them. This paves the way for representing additional types of language-related entities. Like demographic data of other sorts, data about languages may (...) be of use to researchers in a number of areas, including biomedical research. Data on the languages used in clinical encounters are typically included in medical records, and capture an important factor in patient-provider interactions. Like many types of patient and demographic data, data on a person’s preferred and primary languages are organized in different ways by different systems. This can be a barrier to data integration. We believe that a robust framework for representing language in general and preferred and primary language in particular – which has been lacking in ontologies thus far – can promote more successful integration of language-related data from disparate data sources. (shrink)

Robert Nozick, in chapter two of the nature of rationality, proposes two famous problems in decision theory (i.e., Newcomb's problem and Prisoner Dilemma) and two main strategies toward these problems i.e. dominant strategy and dominated or cooperative one. He will try to give a formal principles to calculate the decision values in these situations. In this calculation he goes beyond the standard principle of maximizing expected utility and would try to put forth less ideal and more realistic principles that fit (...) the decision situation in the real world. (shrink)

Rawls offers three arguments for the priority of liberty in Theory, two of which share a common error: the belief that once we have shown the instrumental value of the basic liberties for some essential purpose (e.g., securing self-respect), we have automatically shown the reason for their lexical priority. The third argument, however, does not share this error and can be reconstructed along Kantian lines: beginning with the Kantian conception of autonomy endorsed by Rawls in section 40 of Theory, we (...) can explain our highest-order interest in rationality, justify the lexical priority of all basic liberties, and reinterpret Rawls’ threshold condition for the application of the priority of liberty. Perhaps unsurprisingly, this Kantian reconstruction will not work within the radically different framework of Political Liberalism. (shrink)

Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reasons, it is important (...) to classify memory loss and to know the patient at what level and his assessment of Alzheimer's disease through CT scans of the brain. In this thesis, we review ways and techniques to use deep learning classification to classifying the Alzheimer's Disease The proposed method used to improve patient care, reduce costs, and allow fast and reliable analysis in large studies. The model will be designed using Python language for implementing the system, which is very useful for doctors, classifying the Alzheimer's Disease, was used. The model used 70% from image for training and 30% from image for validation, our trained model achieved an accuracy of 100% on a held-out test set. (shrink)

Faith has many aspects. One of them is whether absolute logical proof for God’s existence is a prerequisite for the proper establishment and individual acceptance of a religious system. The treatment of this question, examined here in the Jewish context of Rabbi Prof. Eliezer Berkovits, has been strongly influenced in the modern era by the radical foundationalism and radical skepticism of Descartes, who rooted in the Western mind the notion that religion and religious issues are “all or nothing” questions. Cartesianism, (...) which surprisingly became the basis of modern secularism, was criticized by the classical American pragmatists. Peirce, James and Dewey all rejected the attempt to achieve infallible absolute knowledge, as well as the presumptuousness of establishing such a knowledge by means of casting Cartesian hyperbolic doubt. They advocated an alternative approach which was more holistic and humane. This paper lays out Descartes’s approach and the pragmatists’ critique. Despite the place that pragmatic considerations hold in Jewish tradition, some thinkers reject the relevance of these ideas. Yet Berkovits’s thought suggest a different path. He rejected Descartes’ radical skepticism and his radical foundationalism, in favor of a moderate foundationalism, which allows for a belief in God alongside constructive doubts. Similar to Peirce’s conception of the fixation of belief, Berkovits views local doubts (distinct from the hyperbolic doubt) as necessary for thought. Berkovits’s understanding of the biblical human-divine encounter, following Rosenzweig, Buber, and Heschel, is conceptualized here as “encounter theology”. Berkovits criticizes the propositionalist attempts to prove God’s existence logically, as well as the presumptuousness of basing religious belief on the teleological world-order. However, Berkovits’s conception of the ‘caring God’ is not provable, and thus defined as a pragmatic ‘postulate’. The article concludes by considering Berkovits’s “encounter theology”. In contrast to the approach described by Haym Soloveitchik, of halakhic stringency and lack of subjective experience of God’s face, Berkovits’s approach is dialogic through and through. (shrink)

Define teleology as the view that requirements hold in virtue of facts about value or goodness. Teleological views are quite popular, and in fact some philosophers (e.g. Dreier, Smith) argue that all (plausible) moral theories can be understood teleologically. I argue, however, that certain well-known cases show that the teleologist must at minimum assume that there are certain facts that an agent ought to know, and that this means that requirements can't, in general, hold in virtue of facts about value (...) or goodness. I then show that even if we grant those 'ought's teleology still runs into problems. A positive justification of teleology looks like it will require an argument of this form: O(X); if X, then O(Y); therefore O(Y). But this form of argument isn't in general valid. I conclude by offering two positive suggestions for those attracted to a teleological outlook. (shrink)

Kyle Stanford’s reformulation of the problem of underdetermination has the potential to highlight the epistemic obligations of scientists. Stanford, however, presents the phenomenon of unconceived alternatives as a problem for realists, despite critics’ insistence that we have contextual explanations for scientists’ failure to conceive of their successors’ theories. I propose that responsibilist epistemology and the concept of “role oughts,” as discussed by Lorraine Code and Richard Feldman, can pacify Stanford’s critics and reveal broader relevance of the “new induction.” The possibility (...) of unconceived alternatives pushes us to question our contemporary expectation for scientists to reason outside of their historical moment. (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 classical American pragmatism, fallibilism refers to the conception of truth as an ongoing process of improving human knowledge that is nevertheless susceptible to error. This paper traces appearances of fallibilism in Jewish thought in general, and particularly in the halakhic thought of Eliezer Berkovits. Berkovits recognizes the human condition’s persistent mutability, which he sees as characterizing the ongoing effort to interpret and apply halakhah in shifting historical and social contexts as Torat Ḥayyim. In the conclusion of the article, broader (...) questions and observations are raised regarding Jewish tradition, fallibility, and modernity, and the interaction between Judaism and pragmatism in the history of ideas. (shrink)

This article considers the significance of the Blessed Isles in Nietzsche’s Thus Spoke Zarathustra. They are the isolated locale to which Zarathustra and his fellow creators retreat in the Second Part of the book. I trace Zarathustra’s Blessed Isles back to the ancient Greek paradisiacal afterlife of the makarōn nēsoi and frame them against Nietzsche’s Platonic conception of philosophers as “commanders and legislators,” but I argue that they represent something more like a modern Epicurean Garden. Ultimately, I suggest that Zarathustra’s (...) Epicurean impulse toward withdrawal (whether into a sequestered friendship community or mountain solitude) undermines his Platonic attempts at great politics. (shrink)

Block argues for a distinction between phenomenal consciousness [PC] and access consciousness [AC] on the basis of his ‘overflow’ argument. Some have thought that this distinction might limit the possibilities of studying consciousness, as it suggests the existence of conscious mental states whose contents can’t be reported. After distinguishing theoretically between PC and AC, I will summarise Block’s overflow argument for their factual distinction. Highlighting that Block makes two related but separate modal claims about the PC/AC distinction, I will show (...) that the arguments he offers at most support the weak claim that a subject S can have a mental state which is P-conscious but which isn’t A-conscious. But the assumptions on which his argument for the weak claim rest prevent any supporters of his argument from making the strong claim that an individual can have a mental state which is P-conscious but which can’t be A-conscious. And if the overflow argument can’t motivate this stronger claim then there’s no reason to think that any mental state which is P-conscious can’t be made A-conscious given the right circumstances. In which case, even if Block’s argument succeeds, there’s no reason to think that there are inherently inaccessible and thus unreportable conscious mental states. So fears about the limitations of the possibility of the study of consciousness due to the existence of such mental states on the basis of the overflow argument can be allayed. (shrink)

This review essay of Economics Rules situates Dani Rodrik’s contribution with respect to the 2007–2008 global economic crisis. This financial meltdown, which the eurozone did not fully recover from before the Covid-19 pandemic, led to soul- searching among economists as well as a call for heterodox economic approaches. Yet, over the past decade, instead the economics profession has maintained its orthodoxy. Rodrik’s Economics Rules offers a critique of the economics profession that is castigating but mild. It calls for economists to (...) use more and diverse models without becoming wedded to any single model or an overarching vision. Yet Rodrik ratifies many of the benchmark models standard to orthodox economics and provides little ground for a fundamental rethinking of the discipline. This essay analyses the conservatism underlying Rodrik’s approach, which upholds general equilibrium theory and rational expectations underlying the efficient market hypothesis. It argues that the economics discipline’s scope-creep to maintain its applicability to all human decision-making, and its acceptance of all-inclusive utility functions, crowds out moral sentiments and civic virtue. Thus. it argues that rather than urging economists simply to be more cautious in their application of models to address particular social concerns, instead economists must recognise their discipline’s inherent limitations. (shrink)

First paragraph: In the 1980s I went through a phase of writing limericks during idle moments when I lacked something to read. The result was a set of 27 limericks about cybernetics (Umpleby 1992). I occasionally use the limericks in class to restate a theoretical point. Limericks bring a smile and demonstrate that cybernetics can be approached in a variety of ways. Below are three limericks from this collection. The last was written by Ernst von Glasersfeld. It seems Ernst believed (...) that I was overly concerned with "reality" as opposed to perception, or at least that I had not captured the point that he was trying to make. (shrink)

This paper analyses the National Populist Challenges to Europe’s Center Right. It assesses the cases of the UK, Germany and France. It poses three questions for Europe: How will political integration be achieved and maintained? What policies will foster economic inclusion in the Eurozone? And, third, what are the best means to achieve economic solvency and growth. The paper make a case that neoliberal economic policies over the past decades have undermined some nations' public sector and have also contributed to (...) tensions between the geographical east and west of Europe. (shrink)