On one classical conception of God, God has no parts, not even metaphysical parts. God is not composed of form and matter, act and potency, and he is not composed of existence and essence. God is absolutely simple. This is the doctrine of Absolute Divine Simplicity. It is claimed that ADS implies a modal collapse, i.e. that God’s creation is absolutely necessary. I argue that a proper way of understanding the modal collapse argument naturally leads the proponent of ADS to (...) reject a particular premise of the argument: namely, “the same identical cause brings about the same effect.” However, I argue that the rejection of that premise leads to a deeper problem for ADS. It leads to an explanatory gap: how can we explain the relevant type of indeterminism in an absolutely simple God? (shrink)

The doing/allowing distinction plays an important role in our thinking about a number of legal issues, such as the need for criminal process protections, prohibitions on torture, the permissibility of the death penalty and so on. These are areas where, at least initially, there seem to be distinctions between harms that the state inflicts and harms that it merely allows. In this paper I will argue for the importance of the doing/allowing distinction as applied to state action. Sunstein, Holmes, Vermeule (...) and others have presented influential arguments for the claim that where the state is concerned the doing/allowing distinction has no moral significance, even if it does elsewhere. I show that these arguments can be resisted. In doing so, I defend some important distinctions and principles that help us understand the state’s role in protecting people from harm. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The (...) evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

Clinical Legal Education programmes now take place in most law schools in England and Wales. However, legal education continues to be predominantly focused on the analysis and application of rules, doctrines, and theories to hypothetical scenarios or essay questions. This form of pedagogy either minimises or ignores the role of the client in terms of supplying lawyers with knowledge pertinent to their case. In other words, it overlooks the fact that the lawyer’s acquisition of knowledge is not confined to technical (...) rationality. This article seeks to achieve three broad aims. First, to contribute to the debate concerning the epistemology of reflective practice. Second, to develop a theoretical reflective cycle, informed by Kant’s transcendental idealism, which seeks to maximise knowledge acquisition in legal education, namely knowledge supplied by the client. Third, to address implicit bias using the proposed reflective cycle. An optimal pedagogy for using this cycle is Clinical Legal Education, namely live client clinics. (shrink)

This paper is trying to show the significance for science history studies of the internet´s access to rare books each time more easier; it was choiced the work of one of the most important and influent mathematicians, Georg Friedrich Bernhard Riemann (1826-1866), “Oeuvres Mathématiques”, composed with published memories during Riemann´s life, and posthumously published memories and fragments. It was been analised and commented the posthumous memory about the hypothesis which serve to geometry basis, fundamental on modern sciences, as Riemann´s space (...) conception, and without it, it couldn´t be possible the exact formulation of Relativity Theory or fundamental advances on mathematics like the solving of some differential equations. It was been trying to show how the reading of an original text of the important mathematician can be rich and full of teaching through the return to his thinking origin. (shrink)

In the world of Philosophy for Children (P4C), the word “method” is found frequently in its literature and in its practitioner’s handbooks. This paper focuses on the idea of community of philosophical inquiry (CPI) as P4C’s methodological framework for educational purposes, and evaluates that framework and those purposes in light of the question, what does it mean to bring children and philosophy together, and what methodological framework, if any, is appropriate to that project? Our broader aim is to highlight a (...) problem with regards to the concept of method in P4C, and to question the consequences of that concept in the practice of philosophical dialogue with children. To better situate the concept of method within P4C (which, we think, will help to clarify some of the dialogues and debates within P4C as a philosophical field), we will identify two different historical understandings—represented by Rene Descartes and Hans Georg Gadamer—of the concept, and suggest new possibilities for understanding philosophical practice with children in light of their difference. (shrink)

Due to ethical lapses of leaders, interest in ethical leadership has grown, raising important questions about the responsibility of leaders in ensuring moral and ethical conduct. Research conducted on ethical leadership failed to investigate the active role that the characteristics of ethical climate and organisational justice have an increasing or decreasing influence on the ethical leadership in the organisation’s outcomes of employees’ ethical behaviour. Thus, this study examined the dual-mediations of work ethical climate and organisational justice on the relation of (...) ethical leadership and ethical behaviour of employees. A total of 620 full-time employees from five Iraqi provinces working at 33 Iraqi organisations in the field of manufacturing, retailing, medical, insurance, information technology, legal, finance, and telecommunication responded to the questionnaire survey. Structural equation modelling (SEM) was used to test the model and data analysis was carried out using structural equation modelling-partial least square (SEM-PLS). The results revealed that there is a significant relationship between ethical leadership behaviour and the ethical behaviour of employees. Primarily, the study also found that ethical climate and organisational justice play a very significant mediating role between ethical leadership and employees’ ethical behaviour. (shrink)

Hilmi Omar Budda (1894-1952) has played a significant role in the process of institutionalization of History of Religions in Turkey. He, who was the first academician in the field of History of Religions in Turkey, lectured for many years in Dâru’l-Funûn (Ottoman University) Faculty of Divinity, which was found in 1924. Then he worked in department of Institute of Islamic Sciences, which was a branch of Istanbul University Faculty of Arts, by pursuing his same position and career. After that, (...) Budda lectured in Ankara University Faculty of Divinity, which was found in 1949, as the first academic person of the department of History of Religions. Budda, who wrote many scientific studies and trained a large number of students during his academic life roughly thirty years, filled a gap in the field of History of Religions in the early years of republic period. Even though there are some scientific problems in his writings and views on issues, this article deals with Budda’s contributions to the History of Religions and his role in the formation of such a discipline in Turkey. This study, besides, mentions about Budda’s academic sides by analyzing his scientific writings composed of books, articles and columns. (shrink)

Nabigyan ng pagpapahalaga ang komprehensibong pagdalumat sa relasyong Tsino at Pilipino sa buhay at kamatayan sa isang aklat na pinamagatang Himlayan, Pantiyon, Kampo Santo, Sementeryo: Exploring Philippine Cemeteries (2016) na pinamamatnugutan ni Dr. Grace Barretto-Tesoro ng Programa sa Araling Arkeolohiya ng Unibersidad ng Pilipinas. Ito ay binubuo ng isang daan at apatnapu’t dalawang (242) pahina at limang (5) kabanata-- [1] Angels on Earth: Investigating Infant and Children Burials in Manila Cemeteries ni Grace Barreto-Tesoro (pah. 1-39); [2] Angels and Dragons in (...) the Manila Chinese Cemetery nina Donna Mae N. Arriola at Eleanor Marie S. Lim (pah. 41-80); [3] Ang Mamatay ng Dahil sa iyo: Patriots’ Graves at Manila Cemeteries and Neighboring Provinces ni Andrea Malaya M. Ragragio (pah. 81-153); [4] Death, Grief, and Memorial: A Review of the Boy Scouts Tragedy of 1963 nina Kathleen D.C. Tantuico at Omar K. Choa (pah. 155-168); at [5] Colonial Period Cemeteries as Filipino Heritage ni Michelle S. Eusebio (pah. 169-197). Sa limang kabanatang ito, mas higit na binigyan ng pansin at lapatan ng anotasyon ang ikalawa dahil tahasan tumatalakay ang artikulong ito sa mayaman at makakultural na ugnayan ng Pilipinas at Tsina bilang mga Asyanong bansa pagdating sa konseptwalisasyon ng kamatayan. (shrink)

Girolamo Saccheri (1667--1733) was an Italian Jesuit priest, scholastic philosopher, and mathematician. He earned a permanent place in the history of mathematics by discovering and rigorously deducing an elaborate chain of consequences of an axiom-set for what is now known as hyperbolic (or Lobachevskian) plane geometry. Reviewer's remarks: (1) On two pages of this book Saccheri refers to his previous and equally original book Logica demonstrativa (Turin, 1697) to which 14 of the 16 pages of the editor's "Introduction" are devoted. (...) At the time of the first edition, 1920, the editor was apparently not acquainted with the secondary literature on Logica demonstrativa which continued to grow in the period preceding the second edition \ref[see D. J. Struik, in Dictionary of scientific biography, Vol. 12, 55--57, Scribner's, New York, 1975]. Of special interest in this connection is a series of three articles by A. F. Emch [Scripta Math. 3 (1935), 51--60; Zbl 10, 386; ibid. 3 (1935), 143--152; Zbl 11, 193; ibid. 3 (1935), 221--333; Zbl 12, 98]. (2) It seems curious that modern writers believe that demonstration of the "nondeducibility" of the parallel postulate vindicates Euclid whereas at first Saccheri seems to have thought that demonstration of its "deducibility" is what would vindicate Euclid. Saccheri is perfectly clear in his commitment to the ancient (and now discredited) view that it is wrong to take as an "axiom" a proposition which is not a "primal verity", which is not "known through itself". So it would seem that Saccheri should think that he was convicting Euclid of error by deducing the parallel postulate. The resolution of this confusion is that Saccheri thought that he had proved, not merely that the parallel postulate was true, but that it was a "primal verity" and, thus, that Euclid was correct in taking it as an "axiom". As implausible as this claim about Saccheri may seem, the passage on p. 237, lines 3--15, seems to admit of no other interpretation. Indeed, Emch takes it this way. (3) As has been noted by many others, Saccheri was fascinated, if not obsessed, by what may be called "reflexive indirect deductions", indirect deductions which show that a conclusion follows from given premises by a chain of reasoning beginning with the given premises augmented by the denial of the desired conclusion and ending with the conclusion itself. It is obvious, of course, that this is simply a species of ordinary indirect deduction; a conclusion follows from given premises if a contradiction is deducible from those given premises augmented by the denial of the conclusion---and it is immaterial whether the contradiction involves one of the premises, the denial of the conclusion, or even, as often happens, intermediate propositions distinct from the given premises and the denial of the conclusion. Saccheri seemed to think that a proposition proved in this way was deduced from its own denial and, thus, that its denial was self-contradictory (p. 207). Inference from this mistake to the idea that propositions proved in this way are "primal verities" would involve yet another confusion. The reviewer gratefully acknowledges extensive communication with his former doctoral students J. Gasser and M. Scanlan. ADDED 14 March 14, 2015: (1) Wikipedia reports that many of Saccheri's ideas have a precedent in the 11th Century Persian polymath Omar Khayyám's Discussion of Difficulties in Euclid, a fact ignored in most Western sources until recently. It is unclear whether Saccheri had access to this work in translation, or developed his ideas independently. (2) This book is another exemplification of the huge difference between indirect deduction and indirect reduction. Indirect deduction requires making an assumption that is inconsistent with the premises previously adopted. This means that the reasoner must perform a certain mental act of assuming a certain proposition. It case the premises are all known truths, indirect deduction—which would then be indirect proof—requires the reasoner to assume a falsehood. This fact has been noted by several prominent mathematicians including Hardy, Hilbert, and Tarski. Indirect reduction requires no new assumption. Indirect reduction is simply a transformation of an argument in one form into another argument in a different form. In an indirect reduction one proposition in the old premise set is replaced by the contradictory opposite of the old conclusion and the new conclusion becomes the contradictory opposite of the replaced premise. Roughly and schematically, P,Q/R becomes P,~R/~Q or ~R, Q/~P. Saccheri’s work involved indirect deduction not indirect reduction. (3) The distinction between indirect deduction and indirect reduction has largely slipped through the cracks, the cracks between medieval-oriented logic and modern-oriented logic. The medievalists have a heavy investment in reduction and, though they have heard of deduction, they think that deduction is a form of reduction, or vice versa, or in some cases they think that the word ‘deduction’ is the modern way of referring to reduction. The modernists have no interest in reduction, i.e. in the process of transforming one argument into another having exactly the same number of premises. Modern logicians, like Aristotle, are concerned with deducing a single proposition from a set of propositions. Some focus on deducing a single proposition from the null set—something difficult to relate to reduction. (shrink)

This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; (...) Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬‬. (shrink)

Purpose: In this article, we will discuss the narrations and prophecies that exist in Islam, both in Shia, Sunni and other religions regarding Imam Mahdi. This article also attempts to deal with Holy Fatima and her characteristics. Also, we will show that Imam Mahdi is mentioned not only in other religions but also in other books. Also, this research was conducted to answer and clarify three questions that stated in the Introduction section. Methods: We performed our methods in 4 stages: (...) Identifying studies, Selection of Studies, Collating Studies, Reporting results. Results: According to Abrahamic religions, a person will reappear and establish fairness and justice with the help of God, who is called Imam Mahdi and based on the opinion of Christians, he is Christ. If the Shiites, may Allah help them in His obedience, had fulfilled their covenant with united hearts, then there would have been no delay in meeting the Promised Saviour. Conclusion: The concept of Imam Mahdi is universal and cannot just be rejected. The appearance of Imam Mahdi will coincide with the coming back of Jesus Christ. Imam Mahdi, with the assistance of the Messiah, will ensure the completion and practical actualization of the mission of the Prophet Muhammad. The Hidden Imam wrote to Abu-Omar Ameri: The Prophet’s daughter (Holy Fatima) is a nice model for me. We hope this article will take an important step in acquainting people with Imam Mahdi and Jesus Christ and paving the ground for their reappearance. (shrink)

Death which is inevitably for every mortal is a sadness for those who are left behind is the cause of sırrrow. While some people reflect this sadness out-word as a tear some of them rebel against this through and cry out. -/- Some of them are traditionally reguired or lamenting as showy. For this reason it is inevitable to reveal the Position of the head of the head In İslam and the fact that it is not permissible to narrate it. (...) As a result of person who dies after A person who dies and sheds tears and silent or vocal crying like the lgnorant. -/- It’s not possible to say that, Permissible to cry after And that person sheds tears and tears. Because this situation is the essence of creation and work of mercy. The prophet Muhammad and Omar (d. 23/644), Fatima (d. 11/632), Ibn Mes’ud (d. 32/652-53), Ibn Omar (d. 73/692) Arecrying because of the death of their loved ones. However it’s understood that It’s not permissible to say the merits and beauty of the person who died from the narrations and to call the shocks of shouting and shouting. And it seen that, If a dead person is crying like that and affect and contribution of the dead person in it, He will see the punishment. This article aims to present to rumors that the prophet and some of companions had cried to their death relatives cried and cried forbidden behaviors and interpret and comment on the narrations about the punishment of the dead by the cry of alive and reveal the permissible and non-pemissible behaviors and forms of crying. (shrink)

Spanish version of my analysis of Oaxaca-based experimental filmmaker Bruno Varela's 2022 feature-length film El Prototipo, which draws on ideas from Philip K. Dick's novel Valis.

Abū Hāmid al-Ghazālī (1058–1111 c.e .) is well known, among other things, for his account, in al-Munqidh min al-ḍalāl (Deliverance from error), of a struggle with philosophical skepticism that bears a striking resemblance to that described by Descartes in the Meditations . This essay aims to give a close comparative analysis of these respective accounts, and will concentrate solely on the processes of invoking or entertaining doubt that al-Ghazālī and Descartes describe, respectively. In the process some subtle differences between them (...) in this regard will be brought to light that are relevant to the comparative issue of the respective solutions at which they arrive. The latter issue will not be touched upon here, although the present discussion is intended as a prelude to a future treatment of that topic. (shrink)

El acceso al mercado estadounidense y a los de Asia le permitió a Vietnam acelerar su transformación en una economía orientada a la exportación y basada en la fabricación de manufacturas y productos agrícolas.

A Rede Internacional de Estudos Críticos de Turismo, Território e Autodeterminação convida para o: -/- III Encontro Internacional da Rede dos Pesquisadores REESCRITA Reflexões para um turismo que contribua para a emancipação social -/- que se realizará de 29 de janeiro a 2 de fevereiro de 2024 nas instalaçoes do Instituto Tecnológico e de Estudios Superiores de Monterrey, Campus Cuernavaca -/- Objetivos Analisar a situação atual dos estudos sobre turismo e territorialidade, nos setores governamental, legislativo, empresarial e social; Conhecer as (...) contribuições teóricas e metodológicas e os resultados da pesquisa dos especialistas das diversas disciplinas que convergem em torno do turismo, como a Antropologia, as Ciências das Organizações, as Ciências Jurídicas, a Ciência Política, a Comunicação, a Demografia, a Economia, a Geografia, a História, a Psicologia Social, as Relações Internacionais e Sociologia, também nas áreas interdisciplinares que implicam uma visão de sustentabilidade do território e do turismo, como a água, a educação, o ambiente e a sustentabilidade, a saúde pública, o trabalho social, entre outras; Divulgar os resultados de pesquisas que visam compreender o turismo e suas implicações na vida comunitária, na territorialidade e no meio ambiente. -/- Eixos temáticos: Turismo na perspectiva comunitária Governança, território e sustentabilidade Turismo e saúde Perspectivas internacionais para o turismo sustentável -/- Participantes Pesquisadores Docentes Profissionais do turismo Instituições públicas e privadas vinculadas ao turismo Instituições acadêmicas. (shrink)

La Red Internacional de Estudios Críticos de Turismo, Territorio y Autodeterminación convoca al: -/- III Encuentro Internacional de la Red de Investigadores REESCRITA Reflexiones para un turismo sustentable e incluyente -/- que se realizará del 29 de enero al 2 de febrero de 2024 en las instalaciones del Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Cuernavaca -/- Objetivos Analizar la situación actual de los estudios sobre turismo y territorialidad, en los sectores gubernamental, legislativo, empresarial y social; Conocer las (...) contribuciones teóricas, metodológicas y resultados de investigación empírica de las y los especialistas en las diversas disciplinas de que convergen alrededor del turismo, como la Antropología, Ciencias de las organizaciones, Ciencias jurídicas, Ciencia política, Comunicación, Demografía, Economía, Geografía, Historia, Psicología social, Relaciones internacionales y Sociología, así como de las áreas interdisciplinarias que implican una visión de sustentabilidad en torno al territorio y el turismo, tales como el agua, educación, medio ambiente y sustentabilidad, salud pública, trabajo social, entre otros; Difundir los resultados de investigaciones orientadas a la comprensión del turismo y sus implicaciones en la vida comunitaria, la territorialidad y el medio ambiente. -/- Ejes temáticos: El turismo desde la perspectiva comunitaria Gobernanza, territorio y sustentabilidad. Turismo y salud Perspectivas internacionales para un turismo sustentable -/- Participantes Investigadores Docentes Profesionales del turismo Instituciones públicas y privadas vinculadas al turismo Instituciones académicas . (shrink)

O filósofo francês Henri Bergson (1859-1941) escreveu em seu artigo “Introdução à Metafísica” [1] que o cálculo infinitesimal, o mais poderoso método de investigação de que dispõe o espírito humano, foi o resultado da inversão da maneira habitual do trabalho de pensamento de partir de um conceito rígido para um conceito dinâmico de apreensão de uma realidade fluida e viva. Esse método cientifico e matemático é desse último modo, partindo de conceitos dotados de fluidez para apreender uma realidade igualmente fluida. (...) Por isso Bergson aproxima esse cálculo do seu conceito de metafísica que é a capacidade de apreensão do fenômeno do interior do seu processo e não de fora do mesmo, como é mais comum nas ciências. Bergson cita Isaac Newton (1642-1727) e seu método das fluxões, mas deve-se enfatizar a importância do filósofo e cientista alemão Gottfried Wilhelm Leibniz (1646-1716) na descoberta desse método de cálculo fundamental no desenvolvimento das ciências e do pensamento científico. Este artigo é uma revisão de Leibniz, G.W., “Naissance du Calcul Différentiel- 26 articles des Acta eruditorum”, Introduction, traduction et notes para Marc Parmentier, préface de Michel Serres, Paris: J. Vrin, 1995. (shrink)

The International Network of Critical Studies of Tourism, Territory and Self-Determination invites to the: -/- III International Meeting of REESCRITA Research Network Reflections for a Sustainable and Inclusive Tourism -/- to be held from January 29th to February 2nd, 2024 at the facilities of the Monterrey Institute of Technology and Higher Education, Campus Cuernavaca -/- Purposes To analyze the current situation of tourism and territoriality studies, in governmental, legislative, business and social sectors; To identify theoretical and methodological contributions and empirical (...) research results of specialists in various disciplines that converge around tourism studies, such as Anthropology, Organizational Sciences, Legal Sciences, Political Science, Communication, Demography, Economy, Geography, History, Social Psychology, International Relations and Sociology, as well as interdisciplinary areas that imply a vision of sustainability around territory and tourism, such as water, education, environment and sustainability, public health, social work, among others; To publicize research results FOR understanding tourism and its implications in community life, territoriality and environment. -/- Topics: Tourism from the community perspective Governance, territory and sustainability Tourism and health International perspectives for sustainable tourism -/- Participants Researchers Teachers Tourism professionals Public and private institutions related to tourism Academic institutions. (shrink)

En "Sobre un presunto derecho a mentir por filantropía", Kant expone el deber incondicionado de veracidad, que ha sido problemático para la filosofía kantiana porque parece obligar a las personas a ser veraces en todas sus declaraciones, sin importar si son comunicaciones públicas o privadas. Llamaré extensiva a la interpretación que sostiene la obligación de ser veraces en todas las declaraciones y mostraré que es causa de inconsistencias con la Doctrina del Derecho. Las inconsistencias se resuelven con una interpretación restrictiva (...) de este deber: la obligación de veracidad es aplicable solo a las comunicaciones públicas. Si mi interpretación es correcta, todas las comunicaciones públicas, ya sean hechas por ciudadanos o funcionarios, tienen la obligación de ser veraces, pero no en las privadas. Mi interpretación es consistente con el resto de los textos donde Kant habla de la comunicación pública. (shrink)

The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. The (...) Statistical Package of Social Sciences (SPSS) was also used for data analysis. The study reached a number of results, the most important of which are: The level of efficiency of educational performance in Palestinian and international universities from the point of view of postgraduate and undergraduate students was high. And that there are significant differences between the average views of the sample of the study on the efficiency of educational performance in Palestinian and international universities attributed to the University and to the benefit of international universities. The study concluded many recommendations, the most important of which is the necessity of continuing to develop e-learning strategies that affect the efficiency of educational performance and research commensurate with the university's position in the local and international community, which puts it on the best classification between local and international universities through e-learning. (shrink)

I propose a framework for comparative Islamic—Western ethics in which the Islamic categories "Islam, Iman," and "Ihsan" are juxtaposed with the concepts of obligation, value, and virtue, respectively. I argue that "shari'a" refers to both the obligation component and the entire structure of the Islamic ethic; suggesting a suspension of the understanding of "shari'a" as simply Islamic "law," and an alternative understanding of "usul al-fiqh" as a moral epistemology of obligation. I will test this approach by addressing the question of (...) reason in Islamic moral epistemology via an examination of an argument advanced by a founding usul scholar Muhammad bin Idrīs al-Shāfi'ī (150 A.H./767 C.E.). (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)

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)

Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private lessons intelligent, (...) cognitive learning and design theories; and there are ongoing to improve the effectiveness of ITS research. And it aims to find a solution to the problem of over-reliance on students' teachers for quality education. The program aims to provide access to high-quality education to every student, and therefore the reform of the education system as a whole. In this paper, we will use Intelligent Tutoring System Builder (ITSB) to build an education system on cloud computing in terms of the concept of cloud computing and components and how to take advantage of cloud computing in the field. (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)

Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive feat. (...) Through rigorous experimentation and data-driven approaches, we seek to determine the viability of AI in the realm of lottery predictions. Our findings reveal both the promise and limitations of AI in this context, shedding light on the complexities of lottery data and the potential need for quantum computing as a last resort. (shrink)

Paulo Freire es una figura extraordinaria no solo para la educación brasileña, sino también para la educación latinoamericana y mundial. Sus contribuciones no se limitan a una obra escrita, mucho menos a un método, ni siquiera a un paradigma teórico; también refieren a una práctica y, de un modo más general, a una vida dedicada a la educación, una vida hecha escuela, o sea, una manera de ocupar el espacio de educador que lo llevó de viaje por el mundo entero (...) ‘haciendo escuela. Este libro es por sí mismo un símbolo de lo que un maestro puede provocarnos y del gesto material de dar una respuesta en nombre de sus efectos y afectos. (shrink)

Family members can provide crucial support to individuals participating in clinical trials. In research on the “newest frontier” of Deep Brain Stimulation (DBS)—the use of DBS for psychiatric conditions—family member support is frequently listed as a criterion for trial enrollment. Despite the significance of family members, qualitative ethics research on DBS for psychiatric conditions has focused almost exclusively on the perspectives and experiences of DBS recipients. This qualitative study is one of the first to include both DBS recipients and their (...) family members as interview participants. Using dyadic thematic analysis—an approach that takes both the individuals and the relationship as units of analyses—this study analyzes the complex ways in which family relationships can affect DBS trial participation, and how DBS trial participation in turn influences family relationships. Based on these findings, we propose ways to improve study designs to better take family relationships into account, and better support family members in taking on the complex, essential roles that they play in DBS trials for psychiatric conditions. (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)

Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and (...) how we can solve them, with an easy user interface that way can our children be happy and excited about the information and their health. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...) monitoring and decision-making for stakeholders and policymakers. (shrink)

Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...) achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Tinnitus is a common condition characterized by the perception of sound in the absence of an external source, with potential negative physical and psychological impacts. Accurate and efficient diagnosis of tinnitus is crucial for appropriate treatment and management. Traditional diagnostic methods have limitations in terms of time, cost, and accuracy. To address these challenges, expert systems have emerged as a promising tool for tinnitus diagnosis. This paper explores the application of expert systems in tinnitus diagnosis, highlighting their potential to improve (...) accuracy and efficiency. By incorporating a knowledge base and rule-based decision-making, expert systems can provide valuable insights for accurate diagnosis and appropriate management of tinnitus. Further research and development in this area can enhance the clinical assessment and treatment of tinnitus, ultimately improving the quality of life for affected individuals. (shrink)

Critics have recently argued that reliabilists face trade-off problems, forcing them to condone intuitively unjustified beliefs when they generate lots of true belief further downstream. What these critics overlook is that reliabilism entails that there areside-constraintson belief-formation, on account of which there are some things you should not believe, even if doing so would have very good epistemic consequences. However, we argue that by embracing side-constraints the reliabilist faces a dilemma: she can either hold on to reliabilism, and with it (...) aforementioned side-constraints, but then needs to explain why we should allow the pursuit of justification to get in the way of the acquisition of true belief; or she can deny that there are side-constraints – and in effect give up on reliabilism. We'll suggest that anyone moved by the considerations that likely attract people to reliabilism in the first place – the idea the true belief is good, and as such should be promoted – should go for the second horn, and instead pursue a form ofepistemic utilitarianism. (shrink)

Abstract: This research paper presents a novel approach to predict audit risks using a neural network model. The dataset used for this study was obtained from Kaggle and comprises 774 samples with 18 features, including Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, History_score, score, and Risk. The proposed neural network architecture consists of three layers, including one input layer, one hidden layer, and one output layer. The neural network model was trained and validated, achieving (...) an impressive accuracy of 100% and an average error of 0.000015, indicating its robust predictive capability. Moreover, we conducted feature importance analysis to identify the most influential features for predicting audit risk. The key features found to be critical for classifying fraudulent activities in audit risk prediction are Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, and History_score. This research contributes to the field of audit risk prediction by demonstrating the effectiveness of a neural network-based approach and highlighting the importance of specific features in detecting fraudulent activities. The findings have significant implications for auditors and organizations seeking to enhance their audit risk assessment processes, ultimately leading to improved financial transparency and fraud detection. (shrink)

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

This is a book review. The author of the book discusses the market for buying and selling halal products in Malaysia.

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

Abstract: 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)

Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical history, and (...) other relevant clinical information. The proposed expert system presents an overview about vertigo diseases are given, the cause of disease is outlined and the treatment or recommendation of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. The potential of the proposed expert system lies in its ability to enhance the accuracy and efficiency of vertigo diagnosis, as well as assist in the proper referral and management of patients. (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)

In this review, we present some ethical imperatives observed in this pandemic from a data ethics perspective. Our exposition connects recurrent ethical problems in the discipline, such as, privacy, surveillance, transparency, accountability, and trust, to broader societal concerns about equality, discrimination, and justice. We acknowledge data ethics role as significant to develop technological, inclusive, and pluralist societies. - - - Resumen: En esta revisión, exponemos algunos de los imperativos éticos observados desde la ética de datos en esta pandemia. Nuestra exposición (...) busca conectar problemas éticos típicos dentro de esta disciplina, a saber, privacidad, vigilancia, transparencia, responsabilidad y confianza, con preocupaciones a nivel social relacionadas con la igualdad, discrimi nación y justicia. Consideramos que la ética de datos tiene un rol significativo para desarrollar sociedades tecnificadas, inclusivas y pluralistas. (shrink)