This article argues that contemporary philosophers have unduly ignored Sri Ramakrishna’s pioneering views on religious pluralism. The Bengali mystic Sri Ramakrishna (1836-1886) taught the harmony of all religions on the basis of his own spiritual experiences and his diverse religious practices, both Hindu and non-Hindu. Part I reconstructs the main tenets of Sri Ramakrishna’s model of religious pluralism. Part II explores how Sri Ramakrishna addresses the problem of conflicting religious truth-claims. Part III addresses some of the (...) major criticisms leveled against Sri Ramakrishna’s views on religious pluralism. (shrink)

This book examines the philosophy of the nineteenth-century Indian mystic Sri Ramakrishna and brings him into dialogue with Western philosophers of religion, primarily in the recent analytic tradition. Sri Ramakrishna’s expansive conception of God as the impersonal-personal Infinite Reality, Maharaj argues, opens up an entirely new paradigm for addressing central topics in the philosophy of religion, including divine infinitude, religious diversity, the nature and epistemology of mystical experience, and the problem of evil.

This chapter explores the interrelation of religious pluralism and eschatology in the thought of John Hick and brings him into dialogue with the nineteenth-century Hindu mystic Sri Ramakrishna. According to Hick’s mature position, various world religions are equally capable of leading to salvation, since all the various religious conceptions of ultimate reality are different culturally conditioned ways of conceiving one and the same unknowable “Real an sich.” The contemporary Christian theologian S. Mark Heim convincingly argues that Hick’s theory of (...) religious pluralism is less pluralistic than it appears, since Hick conceives the final postmortem state of salvation in vague and monolithic terms, thereby failing to honor the variety of specific religious fulfillments taught by the world religions. Building on Heim’s critique of Hick, I make the case that Ramakrishna’s experientially grounded theory of religious pluralism has significant philosophical advantages over Hick’s theory, since Ramakrishna accepts the equal reality and value of both theistic and non-theistic forms of salvation. According to Ramakrishna’s expansive eschatology, some souls choose to “eat sugar” by remaining in eternal loving communion with the personal God, while other souls prefer to “become sugar” by merging their individuality in the impersonal Absolute. (shrink)

This essay reconstructs the sophisticated views on free will and determinism of the nineteenth-century Hindu mystic Sri Ramakrishna and brings them into dialogue with the views of three western philosophers—namely, the Scottish Enlightenment philosopher Lord Kames and the contemporary analytic philosophers Saul Smilansky and Derk Pereboom. Sri Ramakrishna affirms hard theological determinism, the incompatibilist view that God determines everything we do and think. At the same time, however, he claims that God, in His infinite wisdom, has endowed ordinary (...) unenlightened people with the illusion of free will for the sake of their moral and spiritual welfare. Kames, I suggest, defends a theological determinist position remarkably similar to Sri Ramakrishna’s. However, I argue that Sri Ramakrishna’s mystical orientation puts him in a better position than Kames to explain why a loving God would implant in us the illusion of free will in the first place. I then show how certain aspects of the views of Smilansky and Pereboom resonate with those of Sri Ramakrishna. (shrink)

The Bhagavad Gītā has inspired more interpretive controversy than any other religious scripture in India’s history. The Gītā, a philosophical and spiritual poem of approximately seven hundred verses, is part of the ancient Sanskrit epic, the Mahābhārata. In the Gītā, the Lord Kṛṣṇa, who appears in the form of a charioteer, imparts spiritual teachings to the warrior Arjuna and convinces him to fight in a just war that entails the slaughter of many of Arjuna’s own relatives and loved ones. Śaṅkara, (...) the great eighth-century champion of the Advaita school of philosophy, wrote the first extant commentary on the Gītā. In this commentary, Śaṅkara interpreted the Gītā strictly in accordance with Advaita.. (shrink)

"Kierkegaard’s output is vast and earlier, was not available in English. Had they been available then certainly [Edith] Stein, [Simone] Weil, [Hannah] Arendt, and [Susan] Neiman would have constructed their theodicies around Kierkegaard more fully, abandoning the charlatanism of Martin Heidegger’s Nazi histrionics. These Princeton hardbacks, handsomely bound, with appealing fonts and meticulous notes will help disseminate Kierkegaard’s writings to a broader audience." This is how this review focussed on Kierkegaard's theodicy sees the volume under review. The reviewer thanks the (...) Ramakrishna Mission for getting the hardcopy of this book to this reviewer who is a recluse in a non-glamorous backwater within Kolkata; India. If the Ramakrishna Mission weren't generous enough; then this reviewer would not have been able to get his hardcover copy. The review thanks the Ramakrishna Mission for getting the hardcopy of this book to this reviewer who is a recluse in a non-glamorous backwater within Kolkata; India. Indian lives too matter! First world scholars do not read what people like I write. They in their white hot rage take it as a given that our writings don't matter. But the Ramakrishna Mission will outlast this reviewer and hundred others who will come by. In this sense; this review matters and those named in this review which, at the cost of reiterating, will be remembered two hundred years hence. Even IVY League Presses do not have the resources to archive everything, come the looming COVID 19 recession. & as Dr Anthony Fauci honestly says over and over, COVID 19 is going nowhere. And Ebola is out of the Congo. So, there we go...Indian writers on European thinkers do matter and will matter. All said and done, it was great fun reviewing these volumes. Kierkegaard gets it dot on mark that Christianity, or for that matter, any religion is all about the mystery of suffering. (shrink)

In a letter written in 1927, the French writer Romain Rolland asked Sigmund Freud to analyse the “oceanic feeling,” a religious feeling of oneness with the entire universe. I will argue that Rolland’s intentions in introducing the oceanic feeling to Freud were much more complex, multifaceted, and critical than most scholars have acknowledged. To this end, I will examine Rolland’s views on mysticism and psychoanalysis in his book-length biographies of the Indian saints Sri Ramakrishna and Swami Vivekananda, which he (...) wrote just after he mentioned the oceanic feeling to Freud in 1927. I will argue that Rolland’s primary intentions in appealing to the oceanic feeling in his 1927 letter to Freud—intentions less evident in his letters to Freud than in his biographies of Sri Ramakrishna and Vivekananda—were to challenge the fundamental assumptions of psychoanalysis from a mystical perspective and to confront Freud with a mystical “science of the mind” that he felt was more rigorous and comprehensive than Freud’s psychoanalytic science. (shrink)

"Swami Vivekananda, the nineteenth-century Hindu monk who introduced Vedåanta to the West, is undoubtedly one of modern India's most influential philosophers. Unfortunately, his philosophy has too often been interpreted through reductive hermeneutic lenses. Typically, scholars have viewed him either as a modern-day exponent of âSaçnkara's Advaita Vedåanta or as a "Neo-Vedåantin" influenced more by Western ideas than indigenous Indian traditions. In Swami Vivekananda's Vedåantic Cosmopolitanism, Swami Medhananda rejects both of these prevailing approaches to offer a new interpretation of Vivekananda's philosophy, (...) highlighting its originality, contemporary relevance, and cross-cultural significance. Vivekananda, the book argues, is best understood as a cosmopolitan Vedåantin who developed novel philosophical positions through creative dialectical engagement with both Indian and Western thinkers. Inspired by his guru Sri Ramakrishna, Vivekananda reconceived Advaita Vedåanta as a nonsectarian, life-affirming philosophy that provides an ontological basis for religious cosmopolitanism and a spiritual ethics of social service. He defended the scientific credentials of religion while criticizing the climate of scientism beginning to develop in the late nineteenth century. He was also one of the first philosophers to defend the evidential value of supersensuous perception on the basis of general epistemic principles. Finally, he adopted innovative cosmopolitan approaches to long-standing philosophical problems. Bringing him into dialogue with a galaxy of contemporary philosophers, Medhananda demonstrates the sophistication and enduring value of Vivekananda's views on the limits of reason, the dynamics of religious faith, and the hard problem of consciousness"--. (shrink)

Analysing the concept of religion according to Swami Vivekananda.

Today's academia is obsessed about writing and speaking gobbledygook. At least most of the time. It has little time in sitting still and actually reading fiction, poetry and say, Wittgenstein. One pretends to say fancy things about these authors but one does not actually read books anymore. COVID 19 Lockdown prompted this author to answer queries from students and peers about a reading list. So prepare a wide ranging list he did which covers everything from the version of Mahabharata one (...) ought to read to novels on celibacy. But then he chose to publish at Prabuddha Bharata over all other platforms because the Ramakrishna Mission has the finances to keep this list alive 200 years hence. This was written during COVID 19 Lockdown in India at the end of April, 2020. Nirad C Chaudhuri insisted on making a good bibliography in his magnum opus. This author follows Nirad C Chaudhuri in quietly speaking about how Harold Bloom plagiarised the Late Professor John Senior's reading list. The list also comments on Romanticism and the art of writing itself. The list on Hinduism is truly contrarian. One hopes that this list survives when GoodReads and other Listopias are no longer. -/- Today's academia is obsessed about writing and speaking gobbledygook. At least most of the time. It has little time in sitting still and actually reading fiction, poetry and say, Wittgenstein. One pretends to say fancy things about these authors but one does not actually read books anymore. COVID 19 Lockdown prompted this author to answer queries from students and peers about a reading list. So prepare a wide ranging list he did which covers everything from the version of Mahabharata one ought to read to novels on celibacy. But then he chose to publish at Prabuddha Bharata over all other platforms because the Ramakrishna Mission has the finances to keep this list alive 200 years hence. This was written during COVID 19 Lockdown in India at the end of April, 2020. Nirad C Chaudhuri insisted on making a good bibliography in his magnum opus. This author follows Nirad C Chaudhuri in quietly speaking about how Harold Bloom plagiarised the Late Professor John Senior's reading list. The list also comments on Romanticism and the art of writing itself. The list on Hinduism is truly contrarian. One hopes that this list survives when GoodReads and other Listopias are no longer. -/- These COVID 19 days, while the First world is mooning over syllabi for their kids and third and fourth world folks like me are tackling Umphan; I chose to prepare a new kind of syllabus. A syllabus which is not merely a list. In these days of incessant and meaningless webinars which my students can only spread memes about and only the poor and doctors will actually travel to white nations which are killing their own; here's a list which ends with Hindu classics which are contrarian. Nirad C Chaudhuri, a much maligned man in India and a forgotten polyglot in white privileged academia said we must first prepare a bibliography. So, Figure it out. I used some of the Hindu resources on recognition mentioned here and tried to work on Stephen King; a privileged white tenure track person from Trumpland just snowballed me. Now, this list is syllabi and also just a list of a bunch of books to read during Lockdowns which will be more common in the future because COVID 19, as Dr Fauci tells us; is here to stay. Even if one COVID 19 person is there; then along with Ebola, my white privileged tenure track fiends; off you go to gagaland. We in India already know these diseases. Go figure it out. (shrink)

This is contextualizing of a monk of the Ramakrishna Order who became one of the Sangha's most perfect and zealous Presidents. When the Western world is clamouring for the removal of celibacy, the Ramakrishna Order and its monks show the real possibilities of lives in the spirit. This is NOT a hagiography. Non-Hindu novice masters will benefit hugely from reading this review and the review book. The review also focuses on the philosophy of monasticism and separately, on seeing (...) or darsana. (shrink)

This review shows how during COVID 19, poetry and theology both can soothe us. The collection of essays in this anthology is wide ranging engaging with Dante; right up to Wallace Stevens and Denise Levertov. The reviewer thanks the Ramakrishna Mission for providing him with a hard copy of this book. In passing; in the spirit of IndianLivesMatter, one notes that Prabuddha Bharata has never missed an issue from 1896 till date. In his long stint as reviewer for the (...) Ramakrishna Mission's mouthpiece; this reviewer had to perforce castigate authors. In this review which draws to an end his decade long pro bono career as a reviewer at Prabuddha Bharata; the reviewers bids his constant reader adieu. (shrink)

According to cognitive science of religion (CSR) people naturally veer toward beliefs that are quite divergent from Anselmian monotheism or Christian theism. Some authors have taken this view as a starting point for a debunking argument against religion, while others have tried to vindicate Christian theism by appeal to the noetic effects of sin or the Fall. In this paper, we ask what theologians can learn from CSR about the nature of the divine, by looking at the CSR literature and (...) what it identifies as commonalities across religions. We use a pluralist, non-confessional approach to outline properties of the divine. We connect our approach to Hick’s religious pluralism, Ramakrishna’s realization of God through multiple spiritual paths, and Gellman’s inexhaustible plenitude. (shrink)

Swami Vivekananda is considered as one of the most influential spiritual educationist and thinker of India. He was disciple of Ramakrishna Paramahamsa and the founder of Ramakrishna Math and Ramakrishna Mission. He is considered by many as an icon for his fearless courage, his positive exhortations to the youth, his broad outlook to social problems, and countless lectures and discourses on Vedanta philosophy. For him, “Education is not the amount of information that is put into your brain (...) and runs riots there, undigested all your life. We must have life-building, man-making, character-making, assimilation of ideas.” It is rightly said that, “The Swami’s mission was both national and international. A lover of mankind, he strove to promote peace and human brotherhood on the spiritual foundation of the Vedantic Oneness of existence. (shrink)

This book analyses the concepts of God in Vaisnavism, which is commonly referred to as one of the great Hindu monotheistic traditions. Addressing the question of what attributes God possesses according to particular textual sources and traditions in Vaisnavism, the book analyses Vaisnava traditions and texts in order to locate them within a global philosophical framework. The book is divided into two sections. The first one, God in Vaisnava Texts, deals with concepts of God found in the canonical Vaisnava texts: (...) the Bhavagad Gita, the Bhagavata Purana, the Pancaratras, and the Mahabharata. The second section, God in Vaisnava Traditions, addresses concepts of God found in several Vaisnava traditions and their respective key theologians. As well as the Alvars, five traditional Vaisnava schools- the Sri Vaisnava tradition, the Madhva tradition, the Nimbarka tradition, the Pustimarga tradition, and the Caitanya Vaisnava tradition- and two contemporary ones Ramakrishna's and Swami Bhaktivedanta's are considered. The book combines normative, critical and descriptive elements. Some chapters are philosophical in nature, others are more descriptive, unpacking a specific Vaiṣṇava concept of God for future philosophical analysis and critique. Written by experts who break new ground in presenting and representing a diversity of Vaiṣṇava texts and tradition, the book presents approaches that reflect the amount of philosophical and historical deliberation on the specific issues and divine attributes considered. This book will be of interest to researchers in the fields of philosophy of religion and Indian philosophy, cross-cultural and comparative philosophy, analytic philosophy of religion, Hindu studies, theology and religious studies. (shrink)

The theme of essential futility, absurdity, utter incomprehensibility of life and death is stressed in almost allthe writings of Albert Camus. Like Buddha he was shocked by the sight of human misery and mortality. Yet, paradoxically was attracted to the essential desirability of it. Although completely ruffled by the consciousness of an ambiguous and silent God, he was not unaware of “that strange joy that comes from a tranquil conscience”, a perfect inner harmony one experiences on attaining true knowledge. Upanishads (...) are a search for this very reality underlying the flux of things. Malraux, Sartre, and others had already developed this line of thought before Camus. What is essential and original in him is, firstly, that the world’s absurdity not a cause for despair, but on the contrary, a spur to happiness. And secondly, that , mortality and suffering actually enhance the value of life: they invite men to live more intensely. In addition to absurdity another subject the Upanishads insistently deal with is ethics, the purity of human conduct. Very much in the manner of the Existentialists, the Upanishads, aeons before, hold man himself responsible for his actions. Dr. Radhakrishnan, very aptly says that Existentialism is a new name for an ancient method. In Albert Camus and India Sharad Chandra has put forward a convincing comparative study of the two philosophies as expounded in their respective literatures. Her argument is that the parallel ideas found in the two views are not mere fortuitous conclusions but, either the result of seminal influence, or emanation of a common, deeper vision. Reading of the book will help the reader to form a firm opinion. Camus had read the Gita and had attended the lectures given by Swami Shraddhananda of the Ramakrishna Mission in Paris. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...) the performance of students. (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)

Glucagon-like peptide-1 (GLP-1) receptor agonists, such as semaglutide, and dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonists, such as tirzepatide, have been found to be effective for treating obesity and diabetes, significantly reducing weight and the risk or predicted risk of adverse cardiovascular events. There is a global shortage of these medications that could last several years and raises questions about how limited supplies should be allocated. We propose a fair-allocation framework that enables evaluation of the ethics of current (...) practices and could guide governments, professional societies, and physicians in allocation decisions. (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)

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)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...) although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

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

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

Abstract: Context: grapevine leaves are an important agricultural product that is used in many Middle Eastern dishes. The species from which the grapevine leaf originates can differ in terms of both taste and price. Method: In this study, we build a deep learning model to tackle the problem of grape leaf classification. 500 images were used (100 for each species) that were then increased to 10,000 using data augmentation methods. Convolutional Neural Network (CNN) algorithms were applied to build this model (...) specifically using the pre-trained model on top of the VGG16 architecture. Then, dense layers were added to classify the output of the Convolutional layers and classify outputs to the five classes (species) the leaf belonged to. Results: It was found that feature extraction without fine-tuning the convolutional layers yielded poor results, about 86% accuracy, while training the whole network along with some data preprocessing gave the best results, about 99.45% accuracy on the testing dataset. Conclusions: The proposed CNN model is an effective one for the problem of classification of grape leaf species. (shrink)

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

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

Anydomainofscientificresearchhasitssustainingorthodoxy. Thatis, research on a problem, whether in astronomy, physics, or biology, is con- ducted against a backdrop of broadly shared assumptions. It is these as- sumptionsthatguideinquiryandprovidethecanonofwhatisreasonable-- of what "makes sense." And it is these shared assumptions that constitute a framework for the interpretation of research results. Research on the problem of how we see is likewise sustained by broadly shared assump- tions, where the current orthodoxy embraces the very general idea that the business of the visual system is to (...) create a detailed replica of the visual world, and that it accomplishes its business via hierarchical organization and by operatingessentiallyindependently of other sensorymodalitiesas well as independently of previous learning, goals, motor planning, and motor execution. (shrink)

Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...) are a serious threat to online security. They can be very effective, as they often look very convincing. To protect yourself from web page phishing attacks, you should be suspicious of any emails or messages that ask for your personal information. Do not click on links in emails or messages from unknown senders. If you are unsure whether a website is legitimate, do not enter your personal information. Therefore, in this study, we present a novel approach to detect whether a web page is phishing or legitimate using a neural network model. (shrink)

Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...) used in this study comprises chicken images of three different diseases: Newcastle disease, avian influenza, and infectious bursal disease. The proposed method achieved an overall F1-score of 99.04% in classifying the chicken diseases. The results demonstrate the effectiveness of using CNN in classifying chicken diseases and provide a promising approach for early detection and diagnosis of poultry diseases. (shrink)

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

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

Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which (...) is part from the Plant Village dataset. We generate a comprehensive training dataset using techniques such as image filtering, compression, and generation. Our model achieves impressive accuracy scores for all classes, with an overall accuracy of 99.93% on a dataset of 10,000 labeled images . (shrink)

Abstract: In this study, we explore the possibility of classifying the plant species. We collected the plant species from Kaggle website. This dataset encompasses 544 samples, encompassing 136 distinct plant species. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing plant Species classification accuracy and efficiency. This research explores plant Species classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 544 entries, we develop and evaluate a neural network model. Our neural network, (...) featuring a single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.002. Beyond performance metrics, we delve into the intricacies of plant Species classification through feature importance analysis. The most influential features— Vegsout, durflow, semiros, pdias, begflow, wind, leafy, autopoll and insects— uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring plant safety, and bolstering global trade. (shrink)

Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...) proposed. The aim of this paper is to diagnose tomato diseases based on a dataset containing 11000 picture and 11 classes. The model gave the final accuracy test with Accuracy (99.87%), F1-score (99.87%), Recall (99.87%), and Precision (99.88%) in an estimated time 1.36 second, as with these results it proved its effectiveness and good ability in the classification of the testing data. (shrink)

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

Accurate assessment and comprehension of smoking behavior are pivotal for elucidating associated health risks and formulating effective public health strategies. In this study, we introduce an innovative approach to predict and analyze smoking prevalence using an artificial neural network (ANN) model. Leveraging a comprehensive dataset spanning multiple years and geographic regions, our model incorporates various features, including demographic data, economic indicators, and tobacco control policies. This research investigates smoking trends with a specific focus on gender-based analyses. These findings are pivotal (...) for enhancing public health initiatives aimed at mitigating tobacco use, assessing associated health risks, and mitigating smoking-related diseases. (shrink)

Academic excellence and intelligence are commonly lauded as commendable attributes synonymous with success. However, a disconcerting trend has surfaced within educational institutions, challenging the prevailing narrative of scholastic accomplishment—smart shaming. This research delves into the increasing concern of smart shaming within educational settings, particularly at Immaculate Conception College of Balayan, Inc., questioning the predominant emphasis on academic excellence and intelligence. A qualitative case study design, along with judgmental sampling, was employed to examine fifteen (15) student leaders who had experienced smart (...) shaming on campus. Thematic analysis revealed that sarcastic remarks including "edi wow," "Okay ikaw na matalino," "bidabida," and "sipsip" were a prevalent manifestation of smart shaming, adversely affecting emotional well-being, academic and leadership prowess, mental health, and self-perception. Coping mechanisms, predominantly centered around ignoring and focusing on goals, were identified. The findings underscore the imperative for educators to remain vigilant regarding instances of smart shaming in classrooms, promoting open communication to ensure student well-being. Additionally, guidance counselors play a pivotal role in aiding students in effectively navigating the repercussions of smart shaming. This study advocates for proactive programs and interventions to address and alleviate the deleterious effects of smart shaming on students. (shrink)

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

Clark and Chalmers (1998) defend the hypothesis of an ‘Extended Mind’, maintaining that beliefs and other paradigmatic mental states can be implemented outside the central nervous system or body. Aspects of the problem of ‘language acquisition’ are considered in the light of the extended mind hypothesis. Rather than ‘language’ as typically understood, the object of study is something called ‘utterance-activity’, a term of art intended to refer to the full range of kinetic and prosodic features of the on-line behaviour of (...) interacting humans. It is argued that utterance activity is plausibly regarded as jointly controlled by the embodied activity of interacting people, and that it contributes to the control of their behaviour. By means of specific examples it is suggested that this complex joint control facilitates easier learning of at least some features of language. This in turn suggests a striking form of the extended mind, in which infants’ cognitive powers are augmented by those of the people with whom they interact. (shrink)

The study aimed to identify E- Learning strategies and their relation to the efficiency of research performance in foreign and Palestinian universities (University of Ottawa, Munster, Suez Canal, Al-Azhar, Islamic, Al-Aqsa). The analytical descriptive approach was used for this purpose, and relying on the questionnaire as a main tool for data collection. The study society is from the senior management, where the number of senior management in the universities in question is 206. The random stratified sample was selected and (SPSS) (...) was used for statistical data analysis. The study found a significant relationship between E- Learning strategies and the efficiency of research performance in universities. It also reached the participation of senior management in the research that develops the university performance in the Palestinian universities. The senior management indicated that they do not care to follow the policies of implementing the development of scientific research. While the senior management in foreign universities indicated that they are interested in following up the policies of implementing the development of scientific research. The study also showed that senior management in Palestinian universities does not care about providing the appropriate budget for E- Learning. The study recommended that the senior management of Palestinian universities should provide an E- Learning budget and encourage employees to continue using E- Learning strategies. The administration in the Palestinian universities should adopt and support outstanding research, and the need to encourage interest in the implementation of policies for the development of scientific research. (shrink)

Historically, republicans were of different minds about markets: some, such as Rousseau, reviled them, while others, like Adam Smith, praised them. The recent republican resurgence has revived this issue. Classical liberals such as Gerald Gaus contend that neo-republicanism is inherently hostile to markets, while neo-republicans like Richard Dagger and Philip Pettit reject this characterization—though with less enthusiasm than one might expect. I argue here that the right republican attitude toward competitive markets is celebratory rather than acquiescent and that republicanism demands (...) such markets for the same reason it requires the rule of law: because both are essential institutions for protecting individuals from arbitrary interference. I reveal how competition restrains—and in the limit, even eradicates—market power and thereby helps us realize “market freedom,” i.e., freedom as non-domination in the context of economic exchange. Finally, I show that such freedom necessitates “Anglo-Nordic” economic policies. (shrink)

The study aimed to identify the level of organizational performance in ceramic companies in the Tenth of Ramadan City, where the researchers used the descriptive analytical method, through a questionnaire distributed. The study reached a set of results, the most important of which are: the presence of a clear consensus of the study sample from the members of the senior management that all dimensions of the balanced scorecard variable are largely present in the ceramic companies under study, and the results (...) showed the approval of the study sample of workers in an average way on the application of the financial dimension and that it is applied Well, the approval of the study sample of the employees in an average way that tends to decline on the degree of application of the customer dimension and that it is applied by the senior management in an inappropriate way, the approval of the study sample of the employees in a large way on the degree of application of the internal operations dimension and that it is applied by the senior management in a large and appropriate way, approval The study sample of workers applying the learning and growth dimension is moderately low and it is applied inappropriately by the senior management. The study presented a set of recommendations, the most important of which are: working on clarifying and translating the vision and strategy of the institution, working on clarifying the strategy and linking it to the goals, planning and setting goals and arranging strategic initiatives, promoting strategic feedback. (shrink)

Ever since Darwin people have worried about the sceptical implications of evolution. If our minds are products of evolution like those of other animals, why suppose that the beliefs they produce are true, rather than merely useful? We consider this problem for beliefs in three different domains: religion, morality, and commonsense and scientific claims about matters of empirical fact. We identify replies to evolutionary scepticism that work in some domains but not in others. One reply is that evolution can be (...) expected to design systems that produce true beliefs in some domain. This reply works for commonsense beliefs and can be extended to scientific beliefs. But it does not work for moral or religious beliefs. An alternative reply which has been used defend moral beliefs is that their truth does not consist in their tracking some external state of affairs. Whether or not it is successful in the case of moral beliefs, this reply is less plausible for religious beliefs. So religious beliefs emerge as particularly vulnerable to evolutionary debunking. (shrink)

E-money systems have revolutionized global business transactions through digital payment methods. This quantitative correlational study aimed to assess the awareness and acceptance of e-money among individuals in Balayan, Batangas. Employing quota and purposive sampling, 100 participants aged 21 to 70 completed a survey questionnaire. Statistical analysis revealed that consumers were aware of e-money but lacked comprehensive knowledge. They acknowledged the convenience of e-money for online shopping and expense tracking. Age significantly influenced acceptance, while gender did not exhibit a similar effect. (...) Significant differences were observed in awareness and acceptance levels. Recommendations for improving acceptance include administrator-led campaigns, business incentives, consumer education, financial institution partnerships, and integration into student curricula. The study underscores the need for targeted strategies to translate e-money knowledge into practical use. Future research should explore adoption trends over time, barriers, and the impact of regulations on e-money utilization. (shrink)

Abstract: Accurate stock price prediction is essential for informed investment decisions and financial planning. In this research, we introduce an innovative approach to forecast stock prices using an Artificial Neural Network (ANN). Our dataset, consisting of 5582 samples and 6 features, including historical price data and technical indicators, was sourced from Yahoo Finance. The proposed ANN model, composed of four layers (1 input, 1 hidden, 1 output), underwent rigorous training and validation, yielding remarkable results with an accuracy of 99.84% and (...) an average error of 0.005. Additionally, we conducted a feature importance analysis, identifying the key drivers of stock price prediction, such as "High," "Low," "Open," "Volume"," and "Date." This study not only offers a highly accurate stock price prediction model but also contributes valuable insights into the influential factors affecting stock prices, enhancing the field of financial analysis and investment decision-making that are suitable for the task. (shrink)

Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In (...) our proposed system we propose a new forecasting method that uses a Convolutional Neural Network monthly rainfall for a selected location. In our proposed system we are going to forecast the rainfall result based on the mean square error, mean absolute error and root mean square error, which we get in train and test of the dataset based deep learning technique. (shrink)

The question of authenticity centers in the lives of women of color to invite and restrict their representative roles. For this reason, Gayatri Chakravorty Spivak and Uma Narayan advocate responding with strategic essentialism. This paper argues against such a strategy and proposes an epistemic understanding of the question of authentic- ity. The question stems from a kernel of truth—the connection between experience and knowledge. But a coherence theory of knowledge better captures the sociality and the holism of experience and knowledge.