Software patents are commonly criticised for being fuzzy, context-sensitive, and often granted for trivial inventions. More often than not, these shortcomings are said to be caused by the abstract nature of software - with little further analysis offered. Drawing on Plato’s Parmenides, this paper will argue (1) that the reason why software patents seem to be elusive is that patent law suggests to think about algorithms as paradigmatic examples and (2) that Plato’s distinction between two modes of predication and the (...) role of competence in his account of knowledge are helpful not only for conceptualising knowledge of algorithms, but also for understanding the limits of software patent regimes. (shrink)

The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...) to calculate inheritance in Islam. A proposed expert system was designed and developed using CLIPS language to calculate the inheritance in Islam. (shrink)

Undeniably, the greatest way for a Moslem to be closer to Allah, is recitation of Holy-Quran approves with the method conveyed from Messenger of Allah Mohammed from the feature of speech points of letters and the intrinsic and fleeting characteristics of the letters, So, there is a persistent need to teach all Moslems the science of Tajweed Al-Quran. ITS (Intelligent Tutoring System) is computer software that supplies direct and tailored training or response to students without human teacher interfering. The main (...) target of ITS is smoothing the learning process using the wide-ranging facilities of computer. The proposed system will be implemented using the ITSB Authoring tool. In this thesis, the researcher presents an intelligent tutoring system for teaching Reciting Al-Quran "Tajweed" with Rewaya: Hafs from ‘Aasem by the way of Shatebiyyah. It was a novel idea that the researcher combined the science of Tajweed Al-Quran and the science of artificial intelligence in his thesis. The researcher arranged the material into chapters, lessons, examples then, added all these to the proposed system. He also added questions, right answers and the level of difficulty for each lesson. He prepared an exam for each chapter and a final exam to test the knowledge of the learner in the whole material. The system was evaluated by teachers and students in reciting science and the outcome of the assessment was encouraging and promising. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (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)

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: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This research can (...) enhance user experience, book catalog organization, and aid publishers, simplifying recommendation processes and providing tailored suggestions based on user preferences. (shrink)

This paper provides an argument for a more socially relevant philosophy of science (SRPOS). Our aims in this paper are to characterize this body of work in philosophy of science, to argue for its importance, and to demonstrate that there are significant opportunities for philosophy of science to engage with and support this type of research. The impetus of this project was a keen sense of missed opportunities for philosophy of science to have a broader social impact. We illustrate various (...) ways in which SRPOS can provide social benefits, as well as benefits to scientific practice and philosophy itself. Also, SRPOS is consistent with some historical and contemporary goals of philosophy of science. We’re calling for an expansion of philosophy of science to include more of this type of work. In order to support this expansion, we characterize philosophy of science as an epistemic community and examine the culture and practices of philosophy of science that can help or hinder research in this area. (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)

Intelligent neurotechnology is an emerging field that combines neurotechnologies like brain-computer interface (BCI) with artificial intelligence. This paper introduces a capability framework to assess the responsible use of intelligent BCI systems and provide practical ethical guidance. It proposes two tests, the threshold and flourishing tests, that BCI applications must meet, and illustrates them in a series of cases. After a brief introduction (Section 1), Section 2 sets forth the capability view and the two tests. It illustrates the threshold test using (...) examples from clinical medicine of BCI applications that enable patients with profound disabilities to function at a threshold level through computer mediation. Section 3 illustrates the flourishing test by exploring possible future applications of BCI involving neuroenhancements for healthy people, using examples adapted from research currently underway in the US military. Section 3 applies a capability lens to a complex case involving dual effects, both therapeutic and non-therapeutic, showing how the threshold and flourishing tests resolve the case. Section 4 replies to three objections: neurorights are the best tool for assessing BCI; the two tests are moving targets; and the analysis utilizes a capability view to do work it is not designed for. The paper concludes that a capability view offers unique advantages and gives practical guidance for evaluating the responsible use of present and future BCI applications. Extrapolating from our analysis may help guide other emerging technologies, such as germline gene editing, expected to impact central human capabilities. (shrink)

Abstract Alzheimer's disease has spread insanely throughout the world. Early detection and intervention are essential to improve the chances of a positive outcome. This study presents a new method to predict a person's likelihood of developing Alzheimer's using a neural network model. The dataset includes 373 samples with 10 features, such as Group,M/F,Age,EDUC, SES,MMSE,CDR ,eTIV,nWBV,Oldpeak,ASF.. A four-layer neural network model (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 98.10% and an average error (...) of 0.01. This study provides a valuable tool for early detection and intervention of Alzheimer's, thus contributing to the field of health and medicine. (shrink)

Abstract: The Spotify Status Dataset is a valuable resource that provides real-time insights into the operational status and performance of Spotify, a popular music streaming platform. This dataset contains a wide array of information related to server uptime, user activity, service disruptions, and more, serving as a critical tool for both Spotify's internal monitoring and the broader data analysis community. As digital services like Spotify continue to play a central role in music consumption, understanding the platform's status becomes crucial for (...) ensuring a seamless user experience. This dataset offers numerous research and analysis opportunities, whether you're interested in exploring service availability trends or investigating user behavior patterns during service disruptions. This study highlights the significance of the Spotify Status Dataset, its potential applications, and the valuable insights it can offer to various stakeholders, from Spotify engineers working to enhance service reliability to researchers studying the effects of downtime on user engagement. It invites readers on a journey through this dataset to uncover the secrets of Spotify's operational status and its impact on music enthusiasts worldwide. (shrink)

How can we have a sense of the presence of ordinary three-dimensional objects (e.g., an apple on my desk, a partially occluded cat behind a picket fence) when we are only presented with some parts of objects perceived from a particular egocentric viewpoint (e.g., the facing side of the apple, the unoccluded parts of the cat)? This paper presents and defends a novel answer to this question by incorporating insights from two prominent contemporary theories of perception, naïve realism and sensorimotor (...) theory. Naïve realism is the view that perception is fundamentally a matter of obtaining a relation of ‘acquaintance’ with some mind-independent entities (e.g., objects, properties, events). Sensorimotor theory holds that perception involves implicit practical understanding or ‘anticipation’ of the covariance between movements and sensory changes. I argue that perceptual presence is best accounted for in terms of the combination of our direct ‘acquaintance’ with some parts of perceived objects and sensorimotor ‘anticipations’ of how the objects would look different depending on some movements and actions. (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)

Abstract: This research delves into the utilization of Artificial Neural Networks (ANNs) as a powerful tool for predicting the overall ratings of books by leveraging a diverse set of attributes. To achieve this, we employ a comprehensive dataset sourced from Goodreads, enabling us to thoroughly examine the intricate connections between the different attributes of books and the ratings they receive from readers. In our investigation, we meticulously scrutinize how attributes such as genre, author, page count, publication year, and reader reviews (...) influence a book's overall rating. Through rigorous analysis and experimentation, we construct an advanced ANN model tailored for predictive analysis in the realm of book ratings. The outcomes of our study reveal the remarkable potential of ANNs in this domain. The ANN model exhibits an impressive level of accuracy when it comes to forecasting book ratings, underlining the efficacy and promise of artificial neural networks in enhancing our understanding and prediction of book evaluations. This research opens up new avenues for leveraging machine learning techniques to gain deeper insights into the dynamics of book ratings and reader preferences. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the dynamics (...) of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (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)

rtificial Intelligence (AI) is swiftly becoming a fundamental element in modern healthcare, bringing unparalleled capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper delves into AI's transformative impact on the healthcare sector, highlighting how it enhances patient outcomes, boosts the efficiency of medical practices, and introduces new ethical and operational challenges. Through an analysis of current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, the paper underscores the significant advancements AI has introduced to (...) the field. However, the integration of AI also presents concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a thorough overview of these developments, offering insights into AI's future potential to revolutionize healthcare while addressing the ethical considerations necessary for its responsible adoption. The findings suggest that while AI has the potential to transform healthcare delivery, careful consideration of its implications is essential for ensuring its equitable and effective implementation. (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)

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.

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.

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)

(摘要)在哲学史上，许多学者阐释了《存在与时间》的碎片化和"失败"，海德格尔本人对此也提出了三 种阐辛辛《存在与时间》因出版条件导致了偶然的不完整性，这种不完整性后来又作为存在历史的一部分而被提出。在思想(或未思)与偶然的经验意义上或存在者意义上生存着的 "作者"之间，存在着"间隙"，关于这个"间隙"的研究表明:在海德格尔的哲学生涯中，他对《存在与时间》的重要性做出的最好阐樨蕴含着一种关于&q uot;生活与著作"之间关系的理解，其中包含对生活经历的批判性理解和反思在内的理解，这种理解不同于海德格尔本人所坚持的更接近于解释学视角和阐择策略的理解。.

The aim of this critical commentary is to distinguish and analytically discuss some important variations in which legal moralism is defined in the literature. As such, the aim is not to evaluate the most plausible version of legal moralism, but to find the most plausible definition of legal moralism. As a theory of criminalization, i.e. a theory that aims to justify the criminal law we should retain, legal moralism can be, and has been, defined as follows: the immorality of an (...) act of type A is a sufficient reason for the criminalization of A, even if A does not cause someone to be harmed. In what follows, I critically examine some of the key definitions and proposals that have, unfortunately, not always been carefully distinguished. Finally, I propose a definition that seems to capture the essence of what many philosophers refer to when they talk about legal moralism, while also providing more clarity. (shrink)

Abstract: Dates are the fruit of date palm trees, and it is one of the fruits famous for its high nutritional value. It is a summer fruit spread in the Arab world. In the past, the Arabs relied on it in their daily lives. Dates take an oval shape and vary in size from 20 to 60 mm in length and 8 to 30 mm in diameter. The ripe fruit consists of a hard core surrounded by a papery cover called (...) the tartar that separates the core from the fleshy part that is eaten. Historians disagreed about the place of its origin, so some historians expressed their belief that it had originated around the Arabian Gulf, and some of them say that the oldest known information about palm trees was in Babylon 4 thousand years ago BC. It is known about the ancient Egyptians using dates in wine. Dates contain a high nutritional value and are considered a basic food for man since ancient times. The fruits of dates are considered the highest fruits in containing sugars. These components vary according to the nature of the fruit, whether it is wet, semi-dry or dry, as well as according to the environmental conditions surrounding the trees. The components of the fruits also differ in different varieties and increase the percentage of sugars in dates is 70-78% of the fruit’s components. These sugars are characterized by their rapid absorption and transfer into the blood directly, digestion and burning. 10 dates (about 100 grams) per day provide a person with all his daily needs of magnesium, manganese, copper, sulfur and half of his needs of calcium and potassium. In this paper we presented a system that recognize the nine types of dates based on deep learning using python on Colab, and classifying using a dataset contain 1350 images. Our trained model achieved an accuracy of 99.44% on a proven test set. (shrink)

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

Abstract: 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)

Abstract: The emergence of the novel coronavirus (COVID-19) in 2019 has presented the world with an unprecedented global health crisis. The rapid and widespread transmission of the virus has strained healthcare systems, disrupted economies, and challenged societies. In response to this monumental challenge, the intersection of technology and healthcare has become a focal point for innovation. This research endeavors to leverage the capabilities of Artificial Neural Networks (ANNs) to develop an advanced predictive model for forecasting the spread of COVID-19. It (...) involves the collection, analysis, and integration of diverse datasets encompassing epidemiological, clinical, and social factors that influence the virus's dissemination. (shrink)

Burgerschapsonderwijs is een belangrijke missie op scholen. Met de toegenomen aandacht voor zelfredzaamheid en kennis over het politieke systeem zitten we op het goede spoor. Maar dat geldt niet voor de kunst om met verschillende meningen om te gaan. Kan ons onderwijs die burgerschapsvorming wel aan gegeven een aantal praktische uitdagingen en de geïnstitutionaliseerde blinde vlek voor ons koloniale verleden?

Po svoji uèinkovitosti pri spodbujanju éustev glede pripadnosti oz. nepripadnosti je morda edino religija sposobna tekmovati z domoljubjem. Morda tudi samo religija lahko tekmuje z domoljubjem v svoji sposobnosti, da spodbuja in neguje pripadnost milijonov, da bi dosegla niz ciljev povezanih z zvestobo. Vendar paje, kotje opazil John Kleinig (2014: 5), 'domoljubna in verska zvestoba, kljub vsem svojim vznemirjujoèim lastnostim, pogosto pristranska, izkljuóujoéa in celo teroristiéna'. Ince se posamezniki nekritiéno identificirajo z narodom, njegovimi ideali, zgodovino, institucijami in voditelji, ima domoljub (...) nagnjenost delovati, braniti, napadati in celo imeti tujce za manjvredne. (shrink)

The challenges and opportunities associated with the education of immigrants predate modern school systems, though it certainly can be said that support for public schooling grew—for example, in Canada and the United States—as dominant (read White, Anglo-Saxon, Protestant) groups came to see the importance of integrating masses of disparate origin. Educational responses to the children of immigrants over time have been varied, and many responses are indistinguishable from efforts to address other minority groups. In North America, the rapid expansion of (...) immigration encompassing immigrant and refugee populations from around the world, particularly since the 1960s, has led to a number of structural and curricular changes in schools, only some of which were explicitly aimed at immigrants. One example of a policy aimed at the children of immigrants was bilingual education, and as this increasingly fell out of favor, ESL (English as a second language) classrooms became more common. However, with few exceptions, neither has been a very effective instrument for addressing the interests or concerns of immigrants themselves. Nevertheless, most parents strongly prefer that their children learn to master the dominant language, as a means of getting ahead. (shrink)

Identity in the philosophical literature has until recently be confined mostly to ruminations on the self: as soul in Plato; rationality connected to, but not coterminous with, the body in Descartes; uninterrupted consciousness in Locke; a stream of experiences which a thing has in relation to itself in Hume; an emotive life in Rousseau; as noumenal self about which we can know little in Kant; as will in Schopenhauer; as an elusive but nonspecific something in Wittgenstein; and as the continuous, (...) purposive struggle of creative power against an historically contingent concatenation of social, political, and cultural forces in Nietzsche and Foucault. Yet what follows is not a summary of metaphysics or philosophy of mind. There also is not sufficient space here to examine identity in each of the separate disciplines. Instead, what follows are some prefatory discursive remarks about identity; then, owing to the dominance of psychological theories on identity, a brief overview of some of its salient themes will be adumbrated; this will be followed by a discussion on identity formation and maintenance both in political philosophy and philosophy of education. (shrink)

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

In dit artikel onderzoek ik of de standaardbenaderingen van burgerschapsonderwijs in de Lage Landen geschikt zijn om jonge mensen voor te bereiden om de huidige politieke realiteiten tegemoet te treden, laat staan om onrecht te bestrijden. Ik laat zien waarom een nadruk op ‘democratische principes’ of de rechtsstaat de status quo waarschijnlijk niet zal veranderen zolang opvoeders er niet in slagen de aandacht voor de waarheid te cultiveren die nodig is om te kunnen oordelen over rivaliserende normatieve claims. Met name (...) op tolerantie gebaseerde interpretaties van burgerschap zullen weinig bereiken in afwezigheid van burgerlijke deugden – vooral moreel oordelen en morele moed – die nodig zijn voor dissent. Dissent omvat minimaal een bereidheid om de waarheid te spreken tegen de macht. Maar het ernstigste probleem betreffende burgerschapsonderwijs op school betreft de legitimiteit ervan, gegeven dat dat onderwijs gebaseerd is op een door de overheid opgelegd curriculum met als doel een gewenste respons op de boodschap ervan op te leggen en te conditioneren. Daardoor staat het per definitie vijandig tegenover dissent. (shrink)

The traditional use of conventional media by businesses for audience targeting has shifted with the rise of influencer marketing, notably on platforms like TikTok, posing challenges in content adaptation and technological adaptation. Albert Bandura's Social Cognitive Theory examines factors shaping purchasing behavior, particularly relevant for young professionals. A quantitative correlational study focused on young professionals engaging with TikTok and influenced by Filipino TikTok creators, revealing education level as a key determinant of purchasing behavior. Extended TikTok engagement positively correlates with increased (...) purchasing likelihood. Filipino TikTok influencers significantly impact young professionals' purchasing decisions, emphasizing the need for tailored marketing strategies targeting this demographic. Recommendations were provided for effective influencer and digital marketing strategies targeting young professionals. (shrink)

Archytas of Tarentum, a contemporary and associate of Plato, was a famous Pythagorean, mathematician, and statesman of Tarentum. Although his works are lost and most of the fragments attributed to him were composed in later eras, they nevertheless contain valuable information about his thought. In particular, the fragments of On Law and Justice are likely based on a work by the early Peripatetic biographer Aristoxenus of Tarentum. The fragments touch on key themes of early Greek ethics, including: written and unwritten (...) laws; freedom and self-sufficiency; moderation of the emotions and cultivation of virtues; equality and the competence of the majority to participate in government; criticism of “rule by an individual”; a theory of the ideal “mixed constitution”; distributive and corrective justice and punishment, and of the rule of law. The fragments also contain one of the only positive accounts of democracy in ancient Greek philosophy. (shrink)

Dieser Beitrag greift das Phänomen Fake News auf und plädiert für einen analytischen Zugang zur Thematik. Zunächst grenzt er den Begriff der Fake News von anderen Phänomenen ab. Er zeigt auf, dass der Begriff nicht nur keinen analytischen Mehrwert bietet, sondern dass er die eigentlichen Probleme verschleiert und als Propagandabegriff u.a. Verwendung findet, um Zensur zu rechtfertigen und die Gegenseite zu delegitimieren. Trotzdem sollte die Politische Bildung nicht vollkommen auf den Begriff verzichten. Versteht man Fake News als einen fließenden Signifikant (...) in hegemonischen Projekten, erlaubt dies den Zugriff auf die politische Dimension von Desinformation. Fake News als politischer Kampfbegriff lässt sich darüber hinaus als einen Angriff auf die Autorität der Leitmedien interpretieren. Der Autor geht im Anschluss sowohl auf die inhaltliche als auch auf die formelle Dimension dieses Angriffs ein. Darauf basierend erarbeitet er einen Vorschlag, wie Fake News auf analytischer Basis in der Politischen Bildung behandelt werden könnten. (shrink)

In this paper, I outline a theory of social kinds. A general theory of social kinds has to set out at least three conditions: existence conditions, persistence conditions, and identity conditions. For the sake of expediency, I focus on the existence and persistence conditions. The paper is organized just as life: first with existence, then persistence. I argue that anti-realism is more attractive than realism as an account of the existence conditions, despite the fact that realism has been under-appreciated. Then (...) I argue for a particular theory of the persistence conditions, which I call the basic overlapping traits theory (BOTT), based on an analogy to an approach to personal identity. The upshot of the argument is that from an anti-realist metaphysics we have the capacity to discuss a wider diversity of social phenomena. (shrink)

Abstract: The incorporation of Artificial Intelligence (AI) into educational technology has dramatically transformed learning through Intelligent Tutoring Systems (ITS). These systems utilize AI to offer personalized, adaptive instruction tailored to each student's needs, thereby improving learning outcomes and engagement. This paper examines the development and impact of ITS, focusing on AI technologies such as machine learning, natural language processing, and adaptive algorithms that drive their functionality. Through various case studies and applications, it illustrates how ITS have revolutionized traditional educational methods (...) and addresses the challenges and limitations, including data privacy and system biases. The discussion also covers future directions in ITS development, highlighting emerging trends and potential advancements. The goal is to provide a thorough understanding of how ITS use AI to enhance educational experiences and suggest avenues for future research in this evolving field. (shrink)

Risk Management Strategies and Investment Behaviors are considered important factors in the investing activities of the retail investors. This study seeks to determine the relationship between Risk Management Strategies and Investment Behavior of Generation Z retail investors. The study is a correlational research and purposive sampling was used to select the respondents for this study. Cochran’s formula was utilized to determine the total sample size or total number of respondents. Spearman’s Rank-Order Correlation was employed to assess the significant relationship of (...) Risk Management Strategies and Investment Behaviors. Based on the results, it showed that risk management strategies have a significant relationship with one or more of the investment behaviors. Risk avoidance has a significant relationship with confirmation bias. Risk reduction has a significant relationship with all of the investment behaviors such as overconfidence, loss-aversion, recency bias, and confirmation bias. Risk transfer shows a significant relationship with only loss-aversion and confirmation bias. And lastly, risk acceptance also has a significant relationship with all of the investment behaviors. This study recommends exploring other types of behavioral biases under cognitive bias and emotional bias to determine their correlation with risk management strategies. Also, broadening the sample size, demographic scope, and geographic scope of the study can improve the generalizability of the study and provide a more comprehensive understanding of the relationship between investment behavior and risk management strategies. The researchers also recommend to utilize interviews and focus group discussions to gain an in-depth understanding of the underlying values and attitudes concerning investment behavior. (shrink)

The integration of Internet Protocol and Embedded Systems can enhance the communication platform. This paper describes the emerging smart technologies based on Internet of Things (IOT) and internet protocols along with embedded systems for monitoring and controlling smart devices with the help of WiFi technology and web applications. The internet protocol (IP) address has been assigned to the things to control and operate the devices via remote network that facilitates the interoperability and end-to-end communication among various devices c,onnected over a (...) network. The HTTP POST and HTTP GET command that supports the RESTful service have been used to ensure the transmission and reception of packets between the IOT Gateway and Cloud Database. The emerging smart technologies based on the Internet of Things (IoT) facilitated features like automation, controllability, interconnectivity, reliability which in turn turn paved the way for a wide range of acceptance amongst the masses. The Internet of Things (IoT) has brought in many new emerging technologies into varoius field like our daily lives, industry, agricultural sector, and many more. The world is experiencing the explosive growth with the advent of Internet of Things (IoT) these years. The potential growth of IoT is enoromous which is evidenced by all the human beings in our day to day life. (shrink)

This special issue advances arguments for an examples of socially relevant and socially engaged philosophy of science. -/- The introduction (Fehr & Plaisance) provides an argument for a more socially relevant philosophy of science (SRPOS). Their aims are to characterize this body of work in philosophy of science, to argue for its importance, and to demonstrate that there are significant opportunities for philosophy of science to engage with and support this type of research. The impetus of this project was a (...) keen sense of missed opportunities for philosophy of science to have a broader social impact. Fehr & Plaisance illustrate various ways in which SRPOS can provide social benefits, as well as benefits to scientific practice and philosophy itself. Also, SRPOS is consistent with some historical and contemporary goals of philosophy of science. They call for an expansion of philosophy of science to include more of this type of work. In order to support this expansion, they characterize philosophy of science as an epistemic community and examine the culture and practices of philosophy of science that can help or hinder research in this area. (shrink)

Termillä ”poliittinen köyhyys” on aiemmin tarkoitettu resurssien köyhyydestä erillistä köyhyyden muotoa, jossa ihmiset kärsivät vaikuttavan vapauden tasa-arvon puutteesta eli kyvyttömyydestä osallistua tasa-arvoisina toimijoina poliittiseen vaikuttamiseen. Tässä artikkelissa etsin filosofista lähestymistapaa, jonka avulla olisi mahdollista diagnosoida poliittisen osallistumisen epätasa-arvoa myös henkilökohtaisen poliittisen toimijuuden kokemuksen katoamisena. En käsittele niitä varsinaisia prosesseja, joiden myötä poliittinen osallistuminen käy joillekuille mahdottomaksi. Sen sijaan pyrin kuvailemaan poliittista köyhyyttä yleisemmin, osallistumisen kokemuksellisten ehtojen katoamisena. Poliittisessa köyhyydessä ei ole kysymys vain osallistumisen ulkoisista esteistä, kuten osallistumiseen vaadittavien materiaalisten resurssien (...) tai kommunikatiivisten ja kognitiivisten kykyjen epätasa-arvoisesta jakautumisesta eri ryhmien kesken. Väitän, että taustalla voi olla myös ihmisen elämän affektiivinen köyhtyminen, joka ilmenee poliittisen toimijuuden kokemuksen murtumisena ja katoamisena. Käytän tässä artikkelissa Maurice Merleau-Pontyn ja Hannah Arendtin poliittista fenomenologiaa löytääkseni osallistumattomuuteen näkökulman, joka painottaa poliittisen toimijuuden ruumiillisuutta ja intersubjektiivisuutta. (shrink)

This volume represents a rich multi-disciplinary contribution to an expanding literature on citizenship, identity, and education in a variety of majority and minority Muslim communities. Each of these essays offer important insights into the various ways one may identify with, and participate in, different societies to which Muslims belong, from the United Kingdom to Pakistan to Indonesia. Authors include Robert Hefner, Andrew March, Tariq Modood, Lucas Swaine, Matthew Nelson, Rosnani Hashim, Charlene Tan and Yedullah Kazmi.

In the first part of this article we briefly describe the design and development of a Consciousness Studies concentration at Goddard College, a student centered, progressive educational institution in the northeastern United States. We emphasize the tensions we experienced between different orientations in Consciousness Studies and especially the one related to the scientific and transpersonal ends of the spectrum of consciousness. In the second part, we relate the scientific‐transpersonal issue that we experienced at Goddard to the broader theory and practice (...) of Consciousness Studies. We also link the latter to the so‐called explanatory gap between third and first person forms of consciousness and the call for first person methods of exploring consciousness. Our conclusion is that the scientific approach has the edge and is at risk of assimilating other approaches to the detriment of Consciousness Studies. In our view, the future development of Consciousness Studies, both in theory and practice, requires several different approaches from the scientific to the transpersonal and privileging one is to narrow the field of possibilities and to risk falling prey to one‐sidedness. (shrink)

It is often noted that if someone has a tertiary degree in a scientific field who promotes an anti-science-establishment, antiscience, or pseudoscience agenda, they are very often engineers, dentists, surgeons or medical practitioners. While this does not mean that all members of these professions or disciplines are antiscience, of course, the higher frequency of pseudoscience among them is indicative of what I call the “deductivist mindset” regarding science itself. Opposing this is the “inductivist mindset”, a view that has been deprecated (...) among philosophers since Popper. Roughly, the deductivist mindset tends to see problems as questions that can be resolved by deduction from known theory or principle, while the inductivist sees problems as questions to be resolved by discovery. These form cognitive poles, which nobody ever purely instantiates, but a cognitive tendency to be a deductivist may explain why some people find results that conflict with prior theoretical commitments, whether scientific or not, unacceptable. The deductivist tends to be a cognitive conservative, where the inductivist tends to be a cognitive progressive, and the conservative mindset leads to a ressentiment about modernism, and hence about certain scientific results, more often, or so I shall argue in this chapter. (shrink)