This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, information fusion, robotics, statistics, or extenics, comprising 936 pages, published between 2008-2022 in different scientific journals or currently in press, by the author alone or in collaboration with the following 99 co-authors (alphabetically ordered) from 26 countries: Ahmed B. Al-Nafee, Adesina Abdul Akeem Agboola, Akbar Rezaei, Shariful Alam, Marina Alonso, Fran Andujar, (...) Toshinori Asai, Assia Bakali, Azmat Hussain, Daniela Baran, Bijan Davvaz, Bilal Hadjadji, Carlos Díaz Bohorquez, Robert N. Boyd, M. Caldas, Cenap Özel, Pankaj Chauhan, Victor Christianto, Salvador Coll, Shyamal Dalapati, Irfan Deli, Balasubramanian Elavarasan, Fahad Alsharari, Yonfei Feng, Daniela Gîfu, Rafael Rojas Gualdrón, Haipeng Wang, Hemant Kumar Gianey, Noel Batista Hernández, Abdel-Nasser Hussein, Ibrahim M. Hezam, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Muthusamy Karthika, Nour Eldeen M. Khalifa, Madad Khan, Kifayat Ullah, Valeri Kroumov, Tapan Kumar Roy, Deepesh Kunwar, Le Thi Nhung, Pedro López, Mai Mohamed, Manh Van Vu, Miguel A. Quiroz-Martínez, Marcel Migdalovici, Kritika Mishra, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohammed Alshumrani, Mohamed Loey, Muhammad Akram, Muhammad Shabir, Mumtaz Ali, Nassim Abbas, Munazza Naz, Ngan Thi Roan, Nguyen Xuan Thao, Rishwanth Mani Parimala, Ion Pătrașcu, Surapati Pramanik, Quek Shio Gai, Qiang Guo, Rajab Ali Borzooei, Nimitha Rajesh, Jesús Estupiñan Ricardo, Juan Miguel Martínez Rubio, Saeed Mirvakili, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, Ahmed A. Salama, Nirmala Sawan, Gheorghe Săvoiu, Ganeshsree Selvachandran, Seok-Zun Song, Shahzaib Ashraf, Jayant Singh, Rajesh Singh, Son Hoang Le, Tahir Mahmood, Kenta Takaya, Mirela Teodorescu, Ramalingam Udhayakumar, Maikel Y. Leyva Vázquez, V. Venkateswara Rao, Luige Vlădăreanu, Victor Vlădăreanu, Gabriela Vlădeanu, Michael Voskoglou, Yaser Saber, Yong Deng, You He, Youcef Chibani, Young Bae Jun, Wadei F. Al-Omeri, Hongbo Wang, Zayen Azzouz Omar. (shrink)

This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam (...) Dey, Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.‬‬‬‬‬‬. (shrink)

Nietzsche’s favourable comments about science and the senses have recently been taken as evidence of naturalism. Others focus on his falsification thesis: our beliefs are falsifying interpretations of reality. Clark argues that Nietzsche eventually rejects this thesis. This article utilizes the multiple ways of being science friendly in Nietzsche’s context by focussing on Mach’s neutral monism. Mach’s positivism is a natural development of neo-Kantian positions Nietzsche was reacting to. Section 15 of Beyond Good and Evil is crucial to Clark’s interpretation. (...) The presented interpretation makes better sense of this passage and shows that Nietzsche can accept both falsification and empiricism. (shrink)

Fictionalism has recently returned as a standard response to ontologically problematic domains. This article assesses moral fictionalism. It argues (i) that a correct understanding of the dialectical situation in contemporary metaethics shows that fictionalism is only an interesting new alternative if it can provide a new account of normative content: what is it that I am thinking or saying when I think or say that I ought to do something; and (ii) that fictionalism, qua fictionalism, does not provide us with (...) any new resources for providing such an account. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...) data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all reaching 97.23%. (...) The model's success is attributed to its ability to effectively leverage attributes related to eating habits, physical condition, and demographic factors. Feature importance analysis reveals key factors contributing to accurate predictions. This paper contributes to the field of health analytics by demonstrating the effectiveness of Random Forest in predicting and categorizing health risks. The insights gained from this research have the potential to inform personalized health interventions and contribute to the advancement of precision health strategies. Furthermore, the study highlights the importance of leveraging machine learning techniques for health risk assessment in diverse populations. (shrink)

There is a widespread, popular view—and one I basically endorse—that Nietzsche is, in one sense of the word, a nihilist. As Arthur Danto put it some time ago, according to Nietzsche, “there is nothing in [the world] which might sensibly be supposed to have value.” As interpreters of Nietzsche, though, we cannot simply stop here. Nietzsche's higher men, Übermenschen, “genuine philosophers”, free spirits—the types Nietzsche wants to bring forth from the human, all-too-human herds he sees around him with the fish (...) hooks, as he says, of his books—seem to engage in what looks like valuing. These free spirits are supposed to revalue the old values—revaluing, as is clear from the texts, is not simply to remove the old values from circulation (Nietzsche uses “umwerten” and not “entwerten”)—and they are supposed to create new values. And, of course, Nietzsche himself, free spirit that he is, takes on the task of revaluing all values and seems to assert many a strident evaluation. So we need to say more here. What are Nietzsche and his free spirits up to when they engage in what looks, for all the world, like a practice of valuing? What is the practice of valuing Nietzsche is recommending for his free spirits? I argue for two claims: (i) First, we end up facing an interpretive puzzle when we attempt to explain how Nietzsche's free spirits are supposed to engage in a practice of valuing. (ii) Second, we can solve the interpretive puzzle by taking Nietzsche's free spirits to be engaged in a fictionalist simulacrum of valuing. (shrink)

Requirements of rationality, like the following, have recently been the focus of much discussion: (1) Rationality requires of S that, if S intends that e and believes that e will not be so unless S intends that m, then S intends that m. (2) Rationality requires of S that S not both believe p and believe not-p.1 How many requirements there are and how precisely to state them is a matter of controversy, but I will focus on a different kind (...) of controversy, namely, how to conceive of such requirements in general.2 I will start by sketching a picture of their general nature and role that I find compelling and attractive. My picture is not, however, consistent with many of the recent approaches to rational requirements in the literature. 3 As I will try to show, the arguments that are often made about rational requirements assume, mostly implicitly, that my picture is flawed. These arguments do not, however, or so I will claim, actually give us reason to reject my picture of rational requirements. Indeed, many of the puzzles about rational requirements taken up by others turn out not to really be puzzles once we realize that this alternative picture.. (shrink)

This article discusses how a wide range of apparently conflicting metaethical theories have been ascribed to Nietzsche. It reviews the major kinds of contemporary metaethical theories and the initial textual evidence for ascribing some version of each kind to Nietzsche. It then considers the objections to such ascriptions as well as arguments in favor of claims of the relative plausibility of ascribing one metaethical interpretation to Nietzsche over another. The article concludes with a serious consideration of the view that perhaps (...) Nietzsche simply does not have a considered metaethical stance. (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung (...) cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. (shrink)

Abstract: This research paper explores the transformative impact of artificial intelligence (AI) on digital media, examining both the opportunities it presents and the challenges it poses. The integration of AI into digital media has revolutionized content creation, distribution, and analytics, offering unprecedented levels of personalization, efficiency, and insight. Automated journalism, AI- driven recommendation systems, and advanced audience analytics are among the key areas where AI is making significant contributions. However, the adoption of AI also brings ethical considerations, including concerns about (...) bias, privacy, and transparency. This paper analyzes case studies of successful and unsuccessful AI implementations in digital media, highlighting lessons learned and best practices. Finally, it looks ahead to future trends and developments, providing a comprehensive overview of the current state and potential future of AI in digital media. Through this exploration, the paper aims to provide valuable insights for academics, industry professionals, and policymakers on harnessing the power of AI while addressing its challenges. (shrink)

The maturing of metaethics has been accompanied by widespread, but relatively unarticulated, discontent that mainstream metaethics is fundamentally on the wrong track. The malcontents we have in mind do not simply champion a competitor to the likes of noncognitivism or realism; they disapprove of the supposed presuppositions of the existing debate. Their aim is not to generate a new theory within metaethics, but to go beyond metaethics and to transcend the distinctions it draws between metaethics and normative ethics and between (...) cognitivism and non-cognitivism. In our experience, the differences with traditional metaethics go deep enough that it can feel as if two different paradigms are talking past each other. We attempt to bring clarity and focus to this rather inchoate debate by simultaneously articulating the general issues involved and engaging in a detailed case study of one of the prominent representatives of this discontent, Christine Korsgaard. We argue that Korsgaard fails to go beyond metaethics–indeed, fails even to provide a theory within metaethics. Our strategy for showing this is to argue that her claims are compatible with both cognitivism and non-cognitivism. We have argued elsewhere that her distinctive claims are compatible with realism. Here we focus on the crucial role that claims about agency and the will seem to play her in work and, according to our interpretation, in her attempts to go beyond mainstream metaethics. We show in detail that these claims are actually compatible with non-cognitivism. Though our discussion often focuses on her work in particular, it has clear implications for other attempts to obviate the debates of traditional metaethics. (shrink)

We can distinguish between ambitious metanormative constructivism and a variety of other constructivist projects in ethics and metaethics. Ambitious metanormative constructivism is the project of either developing a type of new metanormative theory, worthy of the label “constructivism”, that is distinct from the existing types of metaethical, or metanormative, theories already on the table—various realisms, non-cognitivisms, error-theories and so on—or showing that the questions that lead to these existing types of theories are somehow fundamentally confused. Natural ways of pursuing the (...) project of ambitious metanormative constructivism lead to certain obvious, and related, worries about whether the ambitions are really being achieved—that is whether we really are being given a distinctive theory. I will argue that responding to these initial worries pushes ambitious metanormative constructivism towards adopting a kind of position that I will call “constructivism all the way down”. Such a position does see off most of the above initial worries. Drawing on the work of Ralph Walker and Crispin Wright, I argue, however, that it faces a distinct objection that is a descendent of Bertrand Russell’s Bishop Stubbs objection against coherentist theories of truth. I grant that the constructivist need not be a coherentist about truth. I argue, however, that despite this the constructivist cannot escape my version of the objection. I also distinguish between this objection and various traditional charges of circularity, regress, relativism, or psychologistic reductionism. (shrink)

Though Nietzsche traditionally often used to be interpreted as a nihilist, a range of possible metaethical interpretations, including varieties of realism, subjectivism and fictionalism, have emerged in the secondary literature. Recently the possibility that Nietzsche is a non-cognitivist has been broached. If one sees Hume as a central non-cognitivist figure, as recent non-cognitivists such as Simon Blackburn have, then the similarities between Nietzsche and Hume can make this reading seem plausible. This paper assesses the general plausibility of interpreting Nietzsche as (...) a non-cognitivist. Non-cognitivism can mean various things and so some attempt is made to lay out the various kinds of non-cognitivism one might ascribe to Nietzsche. As part of the overall assessment of the plausibility of a non-cognitivist Nietzsche, the paper considers in detail the arguments of Maudemarie Clark and David Dudrick on behalf of a non-cognitivist reading. It argues, however, that there is insufficient evidence to justify the interpretation and that the analogy to Hume is unhelpful. (shrink)

In THE GENEALOGY OF MORALITY Nietzsche assess the value of the value judgments of morality from the perspective of human flourishing. His positive descriptions of the “higher men” he hopes for and the negative descriptions of the decadent humans he thinks morality unfortunately supports both point to a particular substantive conception of what such flourishing comes to. The Genealogy, however, presents us with a puzzle: why does Nietzsche’s own evaluative standard not receive a genealogical critique? The answer to this puzzle, (...) I argue, lies in recognizing the centrality of the notion of “life”, and its connection to power, in Nietzsche’s overall account. Leiter has argued that his “Millian Model” provides the most charitable reconstruction of appeals to a privileged evaluative standard of power; this model ascribes an inference from a strong doctrine of the will to power according to which only power can be desired. I propose a “Benthamite Model” that ascribes an inference from the inescapability of a tendency towards power, a tendency that is essential to life. I argue that this model avoids the objections Leiter directs at the Millian Model. (shrink)

This paper surveys contemporary accounts of error theory and fictionalism. It introduces these categories to those new to metaethics by beginning with moral nihilism, the view that nothing really is right or wrong. One main motivation is that the scientific worldview seems to have no place for rightness or wrongness. Within contemporary metaethics there is a family of theories that makes similar claims. These are the theories that are usually classified as forms of error theory or fictionalism though there are (...) different ways of accepting some form of the view that nothing is really write or wrong. A range of different ways of going in the light of such a realization is also proposed. The resulting taxonomy of positions is quite complicated and sometimes surprising. One surprise will be that some positions plausibly classified as error theories or forms of fictionalism do not quite seem to be forms of nihilism. (shrink)

Abstract: This research explores the application of artificial neural networks (ANNs) in predicting cancer using a synthetically generated dataset designed for research purposes. The dataset comprises 10,000 pseudo-patient records, each characterized by gender, age, smoking history, fatigue, and allergy status, along with a binary indicator for the presence or absence of cancer. The 'Gender,' 'Smoking,' 'Fatigue,' and 'Allergy' attributes are binary, while 'Age' spans a range from 18 to 100 years. The study employs a three-layer ANN architecture to develop a (...) predictive model. The achieved accuracy of 97.24% and a low loss value of 0.02 indicate promising performance. Further analysis involves a comprehensive examination of the confusion matrix, precision, recall, and F1 score metrics, along with the ROC curve and AUC score, to provide a detailed understanding of the model's strengths and weaknesses. Additionally, considerations for cross-validation, hyperparameter tuning, and interpretability are discussed. It is emphasized that while the synthetic nature of the dataset allows for controlled experimentation, results should be cautiously interpreted and validated on authentic clinical data before extrapolation to real-world medical scenarios. This research serves as a valuable contribution to the exploration of predictive models for cancer detection, encouraging continued investigation and development in the field. (shrink)

Bernard Reginster, in his book The Affirmation of Life: Nietzsche on Overcoming Nihilism, takes up the challenge of figuring out what Nietzsche might mean by nihilism and the revaluation of values. He argues that there is an alternative, normative subjectivist interpretation of Nietzsche's views on nihilism and revaluation that makes as much sense as—indeed, he often clearly leans toward thinking that it makes more sense than—a fictionalist reading of Nietzsche. I argue that his arguments do not succeed. Once we have (...) looked carefully at the details of the positions and the arguments ascribed to Nietzsche, the fictionalist option is the more charitable interpretation of the texts. I focus on the metaethical issues that play a central role for Reginster in his articulation of Nietzsche's nihilism and Nietzsche's strategy for overcoming nihilism. (shrink)

Abstract: As the integration of Artificial Intelligence (AI) continues to permeate various sectors, the legal domain stands on the cusp of a transformative era. This research paper delves into the multifaceted relationship between AI and the law, scrutinizing the profound implications and innovative applications that emerge at the intersection of these two realms. The study commences with an examination of the current landscape, assessing the challenges and opportunities that AI presents within legal frameworks. With an emphasis on efficiency, accuracy, and (...) accessibility, AI technologies are reshaping traditional legal processes, ranging from document analysis and contract review to predictive legal analytics. Furthermore, the paper scrutinizes the ethical considerations and potential biases inherent in AI algorithms, exploring the delicate balance between technological advancements and the preservation of legal principles such as fairness, accountability, and transparency. The research also delves into the evolving role of legal professionals in navigating and overseeing AI applications, emphasizing the importance of responsible AI deployment. Drawing on case studies and real-world examples, this paper showcases instances where AI has already demonstrated its efficacy in legal contexts, highlighting successful implementations and identifying areas for improvement. The discussion extends to the evolving regulatory landscape, as legal systems grapple with the need to adapt and establish frameworks that ensure the responsible and ethical use of AI technologies. In conclusion, this research contributes to the growing discourse on the dynamic interplay between AI and the legal domain. By illuminating the potential benefits, ethical considerations, and regulatory challenges, it provides a comprehensive overview for legal practitioners, policymakers, and technologists alike, fostering a nuanced understanding of the evolving landscape where artificial intelligence intersects with the law. (shrink)

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

This paper offers an interpretation and discussion of the later Foucault’s multifaceted concept of ‘critique’. It argues that critique for Foucault is composed of three main elements: the ‘spirit’ (though not all of the substance) of Kant’s understanding of the Enlightenment; the practice of parrhesia that emerged in Ancient Greece and became central to Christian subjectivity; and the transfigurative aesthetic experience of modernity that was most richly depicted by Baudelaire. In the second section, there is a discussion of Foucault’s view (...) of an event that continues to perplex Western observers, the 1979 Iranian Revolution, juxtaposed with a Marxist understanding of the upheaval. Rejecting both historical materialist and liberal historiography, Foucault offers a unique perspective on the Iranian Revolution, deeming it to be a practical manifestation of critique in an ‘irreducibly’ religious context and based on a reformation of the self situated within a wider ‘political spirituality’. However, the trajectory of politics in Iran since 1979 bears resemblance to those of other, resolutely secular post-revolutionary societies, and thus raises the questions of whether Foucault ignores the universal in privileging the particular and in refusing synthesis between the West and the Orient, adopts an Orientalist epistemology. (shrink)

(Version 2.4) I have argued elsewhere for ascribing an error theory about all normative and evaluative judgements to Nietzsche. Such a nihilism brings with it a puzzle: how could we—or at least the select few of us being addressed by Nietzsche—continue in the face of this nihilism? This is a philosophical puzzle and so, defeasibly, an interpretive puzzle. If there is no theory it would make sense for Nietzsche to have about how the select few could go on, then this (...) is some evidence against the proposed interpretation of him as a nihilist. I defended the interpretation by arguing that Nietzsche’s declarations about creating values point to a practice of generating honest evaluative illusions. Such honest evaluative illusions are tricky things, though, and, precisely because they are honest, one might worry that they lack the motivational power of genuine evaluative belief. Can they truly play the role that evaluative beliefs play in our psychological economies? I suspect that Nietzsche does not want the honest illusions to play exactly the role that evaluative beliefs played. The cheerfulness, the playfulness, the lightness that Nietzsche hopes for are, I have suggested, a function of the shift from belief to pretence, from illusion to honest illusion. The question, nonetheless, is whether the resulting picture is too light. Can I go through life merely acting, as a critic might put it? My suggestion in this essay will be that the thought of eternal recurrence is meant to add weight to the lightness of acting—“acting”, obviously, in both the here relevant senses of the word. (shrink)

The computer science (CS) graduated students suffered from documenting their projects and specially from coordinating it. In addition, students’ supervisors faced difficulties with guiding their students to an efficient process of documenting. In this paper, we will offer a suggestion as a solution to the mentioned problems; that is an application to make the process of documenting computer science (CS) student graduation project easy and time-cost efficient. This solution will decrease the possibility of human mistakes and reduce the effort of (...) documenting process. (shrink)

The primary objective of this book titled ‘The encyclopedia of female pioneers in online learning’ is to record and disseminate the voices and contributions of women who pioneered online learning. The pioneers themselves contributed the majority of the content. Because of this, this book serves as a timeless, living record of these women’s experiences, stories, and accomplishments at a time when the majority of the world switched from traditional, print-based correspondence to a bewildering array of immersive-learning experiences that are enhanced (...) by technology. The goal of these direct contributions, combined with a qualitative research study on the pioneers’ interview data, is to further inform readers about the struggles and successes of these female pioneers and their experiences, perceptions, and driving forces. For policymakers, administrators, educators, historians, researchers, writers, and students interested in topics related to distance education (DE), online learning, and educational technology. (shrink)

Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...) of winnings or getting draw. (shrink)

In this paper, a predictive artificial neural network (ANN) model was developed and validated for the purpose of prediction whether a watermelon is good or bad, the model was developed using JUSTNN software environment. Prediction is done based on some watermelon attributes that are chosen to be input data to the ANN. Attributes like color, density, sugar rate, and some others. The model went through multiple learning-validation cycles until the error is zero, so the model is 100% percent accurate for (...) the purpose of prediction whether good or bad the watermelon is. (shrink)

In this paper, we investigated multiple machine learning classifiers which are, Multinomial Naive Bayes, Support Vector Machine, Decision Tree, K Nearest Neighbors, and Random Forest in a text classification problem. The data we used contains real and fake job posts. We cleaned and pre-processed our data, then we applied TF-IDF for feature extraction. After we implemented the classifiers, we trained and evaluated them. Evaluation metrics used are precision, recall, f-measure, and accuracy. For each classifier, results were summarized and compared with (...) others. (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 article critically examines McTaggart’s Paradox, which argues for the unreality of time based on inherent contradictions in the A-series and B-series of temporal order. McTaggart’s assertion that time is unreal stems from the premise that genuine change, essential for time, occurs within the A-series, where events transition from future to present to past. He contends that this series is inherently contradictory, as it requires events to simultaneously possess mutually exclusive properties of past, present, and future. This paradoxical nature leads (...) McTaggart to conclude that time is an illusion. The article challenges McTaggart’s conclusions by advocating for Presentism, the view that only the present moment exists. Presentism is supported by common-sense views and phenomenological experiences of time, which emphasize the experiential privilege of the present. By focusing on the reality of the present moment, Presentism offers a coherent and intuitive understanding of temporal experience, countering McTaggart’s paradox. Additionally, the article explores arguments from philosophers such as Sydney Shoemaker and William Rowe, who challenge McTaggart’s linkage of time with change. Shoemaker proposes that time can exist without change, while Rowe critiques the necessity of change for the existence of time. Through a comprehensive evaluation of McTaggart’s premises and the phenomenological evidence supporting Presentism, this article aims to refute the paradox and affirm the reality of time as experienced through the ever-present ‘Presentness.’ Presentism is thus presented as a robust framework for understanding time, consistent with both philosophical reasoning and everyday temporal experience. (shrink)

Exchange rate movement is a mostly debatable issue amongst economists and strategic financial planners in the economies as a vital phenomenon, of every economy in the developing the world. This study sets out to examine the impact of cash conversion cycle, Size, Age, and exchange rate movement on firms’ financial decisions. The estimation used techniques of static panel data analysis in this study; pooled OLS, random effects, and fixed effects. Interaction techniques are applied to check the impact of the exchange (...) rate by multiplying this variable with the main variables of cash conversion cycle, that is receivable in days and payables in days. The results depict there is a significant negative relationship between return on assets and exchanger rate during the period of review while the beta of cash conversion cycle has negative value; age and size are positive and significant at 1% level with return on assets. Therefore, it is recommended that organizations that have some measure to agreement in foreign currencies can adopt some advanced hedging technique to occupy the exchange rate movements risk to improve firm’s performance. (shrink)

This paper challenges one of the main contributions of Political Liberalism (PL), namely the burdens of judgment (BoJ), on the grounds that it is superfluous to the project of excluding matters of the good from politics and it makes PL susceptible to a scepticism objection. From Rawls’s PL, we can extract two arguments for epistemic restraint in the public realm. The first is a moral argument based on the principles of fairness and reciprocity. The second is an epistemic argument derived (...) from the idea of the insurmountability of BoJ. The second of these arguments, I contend, is superfluous for two reasons: (i) BoJ, as a descriptive claim cannot itself explain why citizens should uphold a form of toleration that requires them to honor their epistemic restraint in politics. (ii) The moral argument alone is sufficient to justify epistemic constraint in the public realm through the reasonable exercise of political power. -/- Moreover, acceptance of the BoJ is incompatible with subscribing to a reasonable comprehensive doctrine (RCD) with a degree of certainty that is required to be convinced of any such doctrine. The relation between BoJ and scepticism has been addressed before but these thinkers assume that it is the implication of BoJ namely, reasonable disagreement that entails scepticism. This paper lays new sceptical challenges at the doorstep of PL and these new challenges focus on the very idea of the insurmountability of BoJ. Furthermore, it argues that scepticism is not an appropriate epistemic commitment for PL as it is incompatible with the aim of freestanding political conception of justice. Also, it is subversive of the purpose of an overlapping consensus because the idea underpinning an overlapping consensus is that citizens should not only appreciate liberal political principles as reasonable but they should also accept them as true on the basis of their own religious or philosophical reasons. Provided that BoJ entails scepticism, BoJ makes citizens’ religious and philosophical truth claims utterly irrelevant to the stability of society. Accordingly, I argue that the Rawlsian account of reasonableness must relinquish the epistemic component, BoJ; instead it should articulate how the moral component of reasonableness entails the principles of epistemic restraint in politics and acting from public reasons. (shrink)

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

Using speech act theory from the Philosophy of Language, this paper attempts to develop an ethical framework for the phenomenon of speech processing. We use the concepts of the illocutionary force and the illocutionary content of a speech act to explain the ethics of speech processing. By emphasizing the different stages involved in speech processing, we explore the distinct ethical issues that arise in relation to each stage. Input, processing, and output are the different ethically relevant stages under which a (...) spoken item or a speech navigates within the range of speech-processing modules. Employing the illocutionary force-content distinction, we specify and characterize the input-related ethical issues, the output-related ethical issues, and the processing-related ethical issues involved in speech processing. Together with illocutionary force-content distinction, we employ the data-information distinction to characterize the stage-wise ethical issues in the phenomenon of speech processing as the ethics of collecting (speech) data, the ethics of contextualizing (speech) data/information, and the ethics of releasing the con-textualized information (processed speech). Immediate ethical issues that arise from the range of speech processing modules are distinguished from distant ethical issues. We also indicate the nature of ethical issues that arise from Speaker Independent speech technologies. (shrink)

In this paper, an artificial neural network (ANN) model was developed and validated to predict whether a couple is going to get divorced or not. Prediction is done based on some questions that the couple answered, answers of those questions were used as the input to the ANN. The model went through multiple learning-validation cycles until it got 100% accuracy.

The scholarly search engine Google Scholar (G.S.) has problems that make it not a 100% trusted search engine. In this research, we discussed a few drawbacks that we noticed in Google Scholar, one of them is related to how does it perform (add articles) option for adding new articles that are related to the registered researchers. Our suggestion is an attempt for making G.S. more efficient by improving the searching method that it uses and finally having trusted statistical results.

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)

The structure is the backbone of a book. Beneath the surface, it holds everything together and imposes order on the flow. Without a coherent and logical structure, the novel’s key elements are unclear. Victorian Age is known for perfection of the novel from all corners. Though Charles Dickens and Emily Bronte have distinct places in the literary World, Yet their representation of their age has many things in common. The two novels in question “Great Expectations” and “Wuthering Heights” range from (...) Gothic tradition to migration and romance to villainy. Both of these stories can be set off and paralleled to the other. The setting, narration, plot, time era, and lover’s relationships are the elements of comparison as they form the overall structure of a novel. (shrink)

Given the ascribed antinaturalist theory of judgment, Green’s Nietzsche cannot stop with the error theory. “Kant and Spir argue that the only way an objectively valid judgment about an object is possible is if the qualities attributed to the object are unconditionally united in the mind, that is, united in an atemporal and necessary manner”. Thoughts, and the subjects that have them, must be timeless. There must also be a “necessary connection between thought and its object”. Reality, on the other (...) hand, isn’t timeless: there is change, or becoming—this is Nietzsche’s naturalism. Thus, the connection between thoughts and reality fails, there is no timeless subject to have thoughts, and so: “We do not think”. It follows that there are no thoughts to be false—no error theory—and naturalism itself “cannot be thought”. Green calls this Nietzsche’s “noncognitivism” and concludes that the contradictions between Nietzsche’s naturalism, error theory, and noncognitivism mean that he “did not have one considered epistemological position” —a rather mild way of putting it. (shrink)

Islam' literally means submission but when the term is used in a religious context it means submission to Allah alone. Accordingly, a Muslim is one who submits to the Divine injunctions and does not deviate from them. "Al-Islam implies that you testify that there is no god but Allah and that Muhammad is the Messenger of Allah and you establish prayer, pay zakat, observe the fast of Ramadan, and perform pilgrimage to Holy Ka'ba at Mecca once in a lifetime if (...) you are solvent enough (to bear the expense of) journey". The most important principle in Islam is worshiping one and only one God. Islam calls for human rights; no one is better than another with his colour, race, gender, or culture. All are equal and difference among people is based on piety and doing good deeds. Islam considers all human free and has free will. Islam calls protecting environment. Islam calls all people to recognize that our life in the planet is short and that we should prepare ourselves for the second eternal life where everyone will be judged by the Creator in what he did in his first life for himself, community, and environment. In brief, the teachings of Islam are based on Quran (Holy book of God revelation to prophet Mohamed) and Prophet Mohamed (peace upon him) sayings and practices. The teachings are based on two wings: Worship: This is to follow the five pillars of Islam and believe in the 6 pillars of faith. Good deeds: This to do what is beneficial to community and to mankind. The fulfilment of these duties means the fulfilment of the remaining duties as well. That is why it is mentioned in a tradition that only these duties have been called "Islam". Language: Arabic. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

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

In the dimension of education quality, it has become quite popular in recent tenure, as internationally it is analyzed that education is exaggerated towards the context of faculty approach and their brilliance in the respective field. This study focused on the attitudes and beliefs that stop/encourage them to focus on the methodological shifts and the role of professional development in their lectures and make them more interesting for the students. This research is qualitative. The analytical triangulation concept has been used (...) for the collection of the data; three different sources were used to authenticate the data and the accuracy of the responses Open-ended questionnaires, Focus Groups, and interviews were the data collection method used in this research study. It has been found that there are several internal and external pressures on the faculty members that create hurdles to focus on their teaching methodologies. Too many responsibilities latch them with too much pressure and no time to think about the teaching methodologies. Further, specialists ought to ponder all facets and worries of the teaching staff and encourage the faculty members to implement innovative methods as well as improve pedagogies. (shrink)

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...) dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

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

Code-switching is explained as switching between two languages at the same time while conversing in the same discourse. The aim of this study is to explore the perceptions of Afghan EFL lecturers toward code- switching. This study used a qualitative research approach in which the data was collected via semi-structured interviews with five EFL lecturers. The lecturers were interviewed to explore their perceptions and reasons for code-switching, and the extent to which they practice code-switching in their classrooms. The results revealed (...) that the lecturers in the study had positive perceptions of code-switching and believed it as a beneficial strategy in facilitating the learning process. However, they also conveyed that an excessive practice of code-switching should be avoided. The study results also disclosed that the lecturers practiced code-switching for various functions such as explaining difficult concepts (translation), explaining complex grammatical points, clarifications, and giving instructions. Finally, the paper provides recommendation for further research. (shrink)

As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)