In the previous module we examined the dialectic that Krishna initiates in the Bhagavad Gītā. Arjuna’s despondency and worry about the war he must fight is captured in his own words by teleological concerns – consequentialism and virtue theoretic considerations. In the face of a challenge, a teleological approach results in the paradox of teleology---namely, the more we are motivated by exceptional and unusual ends, the less likely we are to pursue our ends given a low expected utility. Krishna's solution (...) is to switch to a procedural ethics. To this extent, Krishna identifies three ethical theories. Two were discussed extensively in the earlier chapter on the Gītā. The first is basic deontology, called karma yoga. This states that we should choose to do our duty without appealing to the outcome as a justification. The duties in question are definable by good outcomes, but the outcomes do not constitute the reason for embracing duty. The second, spoken about at length, is bhakti yoga. According to this, the right thing to do is to worship the ideal by our actions. This practice results in us improving our skill and practice such that we come to liberate ourselves from fault and instantiate the ideal itself. The third is the Gītā’s metaethical theory—conceptual account of the right and the good. This is called “jñāna yoga.” This module focuses on the metaethical dimensions of the Gītā. (shrink)

In The Idea of Justice, Amartya Sen, among other things, discusses certain qualities any adequate theory of justice ought to incorporate. Two important qualities a theory of justice should account for are impartiality/objectivity and sensitivity to consequences. In order to motivate his discussion of sensitivity to consequences, Sen discusses the debate between Krishna and Arjuna from the religio-philosophical Hindu text the Bhagavad Gita. According to Sen, Arjuna represents a sensitivity to consequences while Krishna is an archetypal deontologist. In this (...) paper it will be argued that Sen's interpretation of the Gita is inaccurate. Further, a more adequate interpretation will be presented. What will be of significance is that the more adequate interpretation actually demonstrates the importance of an impartial spectator in moral reasoning. Finally, there will be a discussion of some lessons that can be taken from the Gita regarding justice generally. (shrink)

Panentheism has seen a revival over the past two decades in the philosophical literature. This has partially triggered an interest in Indian models of God, which have traditionally been seen as panentheistic. On the other hand, panentheism has been often associated with panpsychism, an old ontological view that sees consciousness as fundamental and ubiquitous in the natural world and which has also enjoyed a renaissance in recent decades. Depending on where one places fundamentality (whether on the microlevel or on the (...) cosmic-level) there will be two types of panpsychism: micropsychism and cosmopsychism. Despite the apparently rich connection between Indian traditions and panpsychism, especially in its cosmopsychist version, recent work within cross-cultural analytic philosophy of mind seems to be mostly focused on atheistic traditions, such as Advaita Vedānta and Buddhism. My goal in this paper is to contribute to the cross-cultural debate over panentheism and Indian models of God, as well as to the debate on the connections between panpsychism, cosmopsychism and Indian traditions, by examining one of the most important and often quoted texts in Indian religious and philosophical traditions: the theistic Bhavagad Gītā. From a more specific standpoint, the paper has a threefold goal: to offer a panentheistic reconstruction of the Gītā’s concept of God, to show how this panentheistic model of God entails a form of theistic cosmopsychism, and to locate the Gītā’s cosmopsychism within a broader map of cosmopsychist views. Based on this reconstructive analysis of the Gītā’s cosmopsychism, I also outline some few reflections on the philosophical prospects of theistic cosmopsychism. (shrink)

In this paper, a new Intervention Meditation approach is outlined by the current author. To overcome lack of clarity in defining meditation, a new universal Operational definition of meditation is proposed with elaborative explanation. The new meditation approach has multitude of deeper concepts from Bhagavad Gita and modern psychology and the expert / Guru of the proposed method must be a qualified and experienced before getting trained on this approach specifically. This paper elevates meditation from a casual approach level (...) to a separate systematic branch of psychology level. (shrink)

This is an essay I entered in a competition about the Bhagavad Gita. Probably written about 2,000 years ago; this writing is perhaps the greatest philosophical expression of Hinduism. I was attracted to the contest because the website included a very favourable comment about the Bhagavad Gita by Albert Einstein (see below). For a while, I actually considered it possible that I’d win the contest. But that time has passed. The winner has been announced and I can now (...) see my entry for what it is – a naïve attempt to preach science to the religionists, as well as a naïve attempt to preach religion to the scientists. -/- There’s a statement in the essay which I’m wondering about. I said, “However, the concept of possessing a soul is not automatically supported. The idea of having a reincarnating soul would be an easy way of explaining immortality thousands of years ago when people were completely unfamiliar with the scientific facts of an eternal universe, Einstein’s Unified Field, and fractal geometry.” I still think this might be correct. But “might” is the word. I’m wondering about something I later wrote – could the ghostly immaterial body described below be what we call the soul? If such a body is developed in the future to overcome present limitations, could it be referred to as a soul if it travels into the past and is absorbed into a physical body? (It might be what the Bhagavad Gita refers to as the Supersoul, and might be quantum entangled with all space and all time. And if the physical brain is receptive to this so-called entangled soul’s knowledge of everything in space and time, the presently accepted limits to acquiring knowledge would, to use the below quote of Einstein’s, be “superfluous”). The preceding agrees with Zen Buddhism's idea of intuitively getting in touch with your inner self. -/- From “Physics and Philosophy Beyond the Standard Model” (http://vixra.org/abs/1411.0585) – “In 1925, the Austrian physicist Wolfgang Pauli discovered the exclusion principle. This says two similar particles cannot have both the same position and velocity. If two electrons could have identical positions and velocities, they could all collapse into a roughly uniform, dense “soup”. Protons and neutrons would do the same, and there would be no well-defined atoms. So we need the exclusion principle. Force-carrying particles like photons and gravitons do not obey the exclusion principle so we might assume the immaterial body wouldn’t be well-defined and would collapse into a ghostly soup. But perhaps a well-defined structure can be built if the photons are first stopped. The potential for photons to possess mass by having their digital sequence altered and being converted to other particles – or the potential for programming the photons - may make this definition possible. A chrononaut whose body is defined by mass would still have a gravitational effect, and be dark matter. But if she or he would rather not be a lump of dark matter, her or his body might be defined by programming photons and gravitons; creating a body of “light matter”. The beginnings of this technology may be in [43] which speaks of one photon being “stuck” to another.” . (shrink)

In this chapter, Ricardo Silvestre and Alan Herbert offer a reconstruction of the Gītā’s concept of God with a focus on the relationship between God and the world. They try to explain the claim that the Gītā is panentheistic. This is done with the help of some key notions of contemporary metaphysics (such as ontological dependence and fundamentality) along with the Indic notion of prakṛti, considered as a metaphysical primitive denoting the intimate relationship that exists between matter and conscious living (...) beings on the one hand, and God on the other. (shrink)

Morality is traditionally understood as comprised of two components: justice and mercy. The first component, justice, the universal component of the form, is frequently seen as foundational for any moral system – which poses a challenge of explaining the second component, mercy, the particular component of content. Kantian ethics provides an example of this approach. After formulating his universalist theory of ethics in the Groundwork of the metaphysics of morals and further developing it in the Critique of practical reason, he (...) attempts to use it in order to establish the morality of mercy in the Metaphysics of morals. Yet can universal morality of justice necessitate particular ethics of mercy? Using the example of competitive games, the relations between the ethics of justice and that of mercy are demonstrated, and it is shown that the former does not lead to the latter. Moreover, the universality of the rules of moral behavior can serve as a form for blatant brutality. Analyzing the characteristics of particular morality, we can conclude that physical humanity of the moral object, perceived as such by the subject, is a required condition for mercy. Removal of object's humanity is a necessary step toward an ethical system that allows cruelty – a system that can still be based on universal moral rules. Bhagavad Gītā, on the other hand, can be seen as an example of combining nīṣkāmakarma, the formal, universal ethics of desireless action, with a variety of particular motivations originating in the nature and social context of the moral agent. (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)

Although there is such a thing as Indian thought, it seems to play no role in the way social sciences and philosophy are practiced in India or elsewhere. The problem is not only that we no longer employ terms such as atman, avidya, dharma to reflect on our experience; the terms that we do indeed use—sovereignty, secularism, rights, civil society and political society, corruption—seem to insulate our experience from our reflection. This paper will outline Gandhi’s framing of our predicament in (...) Hind Swaraj. It will then discuss three very different examples taken from our peculiar life with concepts that will also serve to clarify and illustrate the framework I am outlining. It will then very briefly discuss how Gandhi saw the Gita as showing him a way out of the predicament. (shrink)

The philosophy of ‘karma’ is a doctrine to consider being the foundation stone of the entire Indian Philosophical outlook. The Bhagavad Gita is most beloved scripture of Indian thought and one of the prime chapters of this scripture is the ‘law of karma’. According to it, every man profit from what he does and suffers from what he does. Karmayoga is mainly based on niskam-karma but not the mere renunciation of Karma. We have to give up the attachment and (...) the fruit regarding the action. So, the action is our Svadharma, fruit or result is not our concern. The Gita said that the nature of Karma was natural, inherent in man’s existence and everybody has to work. Hence an attempt is made here to discuss the law of karma as considered by the Bhagavad Gita. (shrink)

This open access book presents a comparative study of two classics of world literature, offering the first sustained study of what unites and divides the Nicomachean Ethics and the Bhagavad Gita. -/- Asking what the texts think is the nature of moral action and how it relates to the highest good, Roopen Majithia shows how the Gita stresses the objectivity of knowledge and freedom from being a subject, while the Ethics emphasizes the knower, working out Aristotle’s central commitment (...) to the idea of substance as the primary building block of the world. Yet both the Gita and the Ethics explain variety in human behaviour in terms of three driving forces. Both agree moral agency is a construct that is a function of background, education and habit, presupposing a cultural, political and economic infrastructure. -/- What distinguishes the texts is how the content of right action is generated. Reading them together, alert to their individual accounts of how the practical relates to the reflective dimensions of life, Majithaia enriches our understanding of two cornerstone texts in the Greek and Indian philosophical traditions. -/- The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollectionsdotcom. Open access was funded by The Marjorie Young Bell Faculty Fund and The Hart Almerrin Massey Endowment. (shrink)

This paper aims at an analytical explanation of the distinctive nature of music, as it has been formulated in perhaps one of the world's very first works on the subject, namely the ‘Sangeet Ratnakar’ of Pandit Sarangadeva, a 13th century musicologist of India. He, in the first chapter of the work defines music ('sangeet' in Sanskrit and Hindi) as a composite of singing or 'Gita', instrumental music or 'vadan' and dancing or ‘nrittam’. In addition, he also holds singing to (...) be the most important component of music. These two ideas are not only unquestionably acceptable , as the analysis in the paper will show, but give to Indian music , in its difference from western music, its distinctively spiritual character, making it a path to liberation or Moksha (Muktidayakam na tu ranjakam). Sarangadeva's reason, here, is not rational but empirico-inductive. It is that mainly by virtue of its 'gitam’ (singing component), which, like the Yoga system of exercise, needing only one's body as its instrument, music too needing only one’s voice is as self-sufficient and autonomous as the ultimate Reality itself (Swayamev Rajate). In the hierarchy (a distinctively ancient Indian insistence) of arts, singing is the highest and unique because in spite of being heard by the auditory sense, it affects our 'reflective sensibility' and transports us to the virtual world of melodic and rhythmic forms. Forms, as against their particular illustrations, are abstract universals. Ultimate Reality is also a Form-all comprehensive and internally harmonious. However, pure Form, whether melodic or religious or even rational like that of triangularity, is almost impossible to concentrate on. Realizing this practical difficulty, Indian scriptures and the world's first Grammarian-linguist, Acharya Panini, framed a composite sound as the manifestation of the ultimate musical Form. This purely formal-because devoid of all meaning, sound is that of 'om', spelt, in Sanskrit as a conjunction (sandhi) of 'a'+'u'+'m'. For Indian musicologists and musicians, ‘om’ is the perfect manifestation of the Sound-God or ‘Nada-Brahman’ because, 1. Its composite nature resembles God, as a harmony of 'sat', 'chit', and 'ananda'; and 2. The composite sound is self-existent as its all three components-two vowels, i.e. ‘a’, ‘u’, and one consonant i.e. ‘m’, can be and are pronounced just as they originally are, -un-elongated and un-vitiated and therefore pure. This is the reason why every recital of Indian classical vocal music is begun with an elaborate rendering of 'om' as an invocation to Sound-God or ‘Nada-Brahman’. Scholarly and authentic, this ancient Indian approach to music, is undoubtedly the earliest and original. My observation is that its main contentions like Sharang Dev’s insistence that of the three components of music, ‘gitam’ or singing is the highest, have only been translated and never argued for. In this presentation my good intention is to provide much needed rational support for making these key statements in this unparalleled Indian text, indubitable and unquestionable. (shrink)

Bimal Krishna Matilal (1935-1991) was a Harvard-educated Indian philosopher best known for his contributions to logic, but who also wrote on wide variety of topics, including metaethics. Unfortunately, the latter contributions have been overlooked. Engaging with Anglo-American figures such as Gilbert Harman and Bernard Williams, Matilal defends a view he dubs ‘pluralism.’ In defending this view he draws on a wide range of classical Indian sources: the Bhagavad-Gītā, Buddhist thinkers like Nāgārjuna, and classical Jaina concepts. This pluralist position is somewhere (...) between relativism and absolutist realism. Unlike the relativist, he argues that there is a genuinely universal morality; unlike the absolutist, he argues that there are multiple, but often conflicting and incommensurable, moral frameworks and ideals. This paper will explain his objections to relativism, as well as flesh out his suggestive remarks about his own pluralistic account. (shrink)

Interpretations of the ethical significance of the Bhagavadgītā typically understand the debate between Arjuna and Kṛṣṇa in terms of a struggle between consequentialist and deontological doctrines. In this paper, I provide instead a reading of the Gītā which draws on a conception of moral thinking that can be understood to cut across those positions – that developed by Stanley Cavell, which he calls ‘Emersonian Moral Perfectionism’. In so doing, I emphasise how Kṛṣṇa’s consolation of Arjuna can centrally and fruitfully be (...) viewed as concerned with resuscitating the latter’s individuality, thereby allowing Arjuna to overcome an unthinking conformity to the current degenerate state of his society. This leads me to explore the relation between this perfectionist understanding of spiritual reorientation and the Gītā’s religious account of human redemption; and to conclude by suggesting how the text of the Gītā itself might have similar therapeutic designs upon its readers. (shrink)

The customary way of interpreting the dialogue between Arjuna and Kṛṣṇa in the Bhagavad-Gita is to consider it merely as an expression of the fear of the diffident Arjuna, who is depicted by almost all the commentators as being scared of fighting the battle, and Kṛṣṇa’s ingenuous solution to it. This paper argues that this common way of looking at the conflict leaves the central theme of the debate unattained and unsolved. The debate can also be viewed as a (...) statement of the confrontation between two ethics and two notions of the self. The claim is not that the customary interpretation is false, or that the present one is the only possible interpretation. It rather makes a much moderate claim that it is possible to give the text an alternative reading, which sheds some light on the nature of Indian ethics as such. It is long debated as to whether India had ever had an ethics. This paper claims to give some insight into the debate. (shrink)

A famous Indian argument for jus ad bellum and jus in bello is presented in literary form in the Mahābhārata: it involves events and dynamics between moral conventionalists (who attempt to abide by ethical theories that give priority to the good) and moral parasites (who attempt to use moral convention as a weapon without any desire to conform to these expectations themselves). In this paper I follow the dialectic of this victimization of the conventionally moral by moral parasites to its (...) philosophical culmination in the fateful battle, which the Bhagavad Gītā precedes. Arjuna’s lament is an internalization of the logic of conventional moral expectations that allowed moral parasitism, and Krishna’s push for a purely procedural approach to moral reasoning (bhakti yoga) does away with the good as a primitive of explanation and provides the moral considerations that allow us to see that the jus ad bellum and jus in bello coincide: the just cause is the approximation to the procedural ideal (the Lord), which is also just conduct. Jeff McMahan is correct in claiming that it is wrong for the unjust to attack the just. But it is also not obviously correct that it is the same set of moral considerations in war and peace that mark out the sides, for peace is largely characterizable by conventional morality, which all are forced to abandon in war. Walzer is correct that there are different sets of standards at play at war and peace, and that getting hands dirty in immorality is a price worth paying in war, but Walzer is thereby incorrect for a subtle reason: conventional standards by way of which jus ad bellum and jus in bello appear corrupt are themselves actually corrupt when the need for a just war arises. It is because moral parasites use conventional morality as a means of hostility and not as a means of fair, inclusive social interaction that conventional morality is corrupted and turned into a tool of the unjust. It is hence unjust to employ these standards to judge those whose cause is just, though such a judgement is conventional. Those who fight for a just cause thereby justly get their hands dirty by departing from conventional moral standards. But this is to the disadvantage of parasites who can only function in a climate where the conventionally good are constrained by conventional morality. Just war so understood deprives parasites their weapon of choice. (shrink)

‘Sapiens and Sthitaprajna’ studies the concept of a wise person in the Stoic Seneca and in the Bhagavad-Gita. Although the Gita and Seneca’s writings were composed at least two centuries and a continent apart, they have much in common in recommending a well lived life. This book describes how in both - a wise person is endowed with both virtue and wisdom, is moral, makes right judgments and takes responsibility for actions. A wise and virtuous person always enjoys (...) happiness, as happiness consists in knowing that one has done the right thing at the right time. Both Seneca and the Gita demand intellectual rigor and wisdom for leading a virtuous and effective life. They provide guidelines for how to become and be wise. Both systems demand a sage to be emotionally sound and devoid of passions. This leads to mental peace and balance, and ultimately tranquility and happiness. While surveying these similarities, this study also finds differences in their ways of application of these ideas. The metaphysics of the Gita obliges the sage to practice meditation, while the Stoics require a sage to be a rational person committed to analyzing and intellectualizing any situation. This comparative study will be of interest to students of both Ancient Western and Ancient Indian Philosophy. Practitioners of Stoicism and followers of the Gita should find the presence of closely related ideas in a very different tradition of interest while perhaps finding somewhat different prescriptions a spur to action. (shrink)

While acknowledging a certain affinity between his own thought and the Vedanta concept of a world-soul or universal spirit, Josiah Royce nevertheless locates this concept primarily in what he terms the Second Conception of Being—Mysticism. In his early magnum opus, The World and the Individual, Royce utilizes aspects of the Upanishads in order to flesh out his picture of the mystical understanding of and relationship to being. My primary concern in the present investigation is to introduce some nuance into Royce’s (...) conception of Indian thought, which may then serve to suggest similar possibilities for nuance for Royce’s conception of the Absolute. I will attempt to do in two primary ways: first, I will consider Royce’s use of Indian thought via the Upanishads in explicating his second historical conception of Being. I will then turn briefly to Emerson’s poem ‘Brahma’ and the Bhagavad Gita to see if a certain reversal that occurs in both places problematizes Royce’s depiction of the universal spirit in Indian thought as well as opens up new possibilities for Royce’s own Absolute. (shrink)

The article raises the question of the contemporary Gaudiya-vaishnava adherent’s attitude towards the war and kshatriya duty. It analyses the ways Vaishnavas from Ukraine, Russia and India perceive Russia’s war against Ukraine and kshatriya duty in the context of understanding the holy war in the Mahabharata and Krishna’s instructions about duty of kshatriya in Bhagavad-gita. There are four types of symbolic correlation of modern war with the events of the Mahabharata: religious, mythological, ideological, and ethical. The differences between them (...) have led to disagreements and discussions within the Vaishnava community about how to understand the duty of the Vaishnava in this war. The article substantiates the religious nature of the spiritual-practical position of Ukrainian Vaishnavas, which for some of them is expressed in peaceful service to people during the war, and for others - in the performance of the duty of kshatriya in the ranks of the armed forces. (shrink)

This article delves into the profound philosophy of Vedanta, a cornerstone of Hinduism, which explores the ultimate nature of reality and existence. Rooted in the canonical texts—the Upanishads, Brahmasutras, and Bhagavad-Gita—Vedanta addresses life's most essential questions: Who are we? And What is our purpose? It introduces Brahman, the infinite foundation of all, and provides pathways to realization through the Mahavakyas (Great Sayings). Through a blend of timeless wisdom and practical relevance, this article reveals Vedanta's potential to transform modern lives (...) by fostering self-awareness, liberation (Moksha), and universal harmony. (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 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)

Theocentrism is the position that places God at the centre of discourse; God is the Landlord and Manager of everything that exists. Analogous to other environmental theories such as anthropocentrism, zoocentrism, biocentrism, ecocentrism and eco-feminism, theocentrism posits that God owns the universe and so the best manual on how to come to term with the universe emanates from Him. God's commands are contained both in written scriptures and in oral traditions. While the former includes the Bible, Qur’an, Bhagavad Gita, (...) amongst others, the latter includes proverbs, myths, taboos, totems and rituals observed by different cultures across the globe. Unfortunately, a prevailing misinterpretation of scriptures considers theocentrism as nothing but ontological anthropocentrism, of which anthropocentric position in all its strands is the egoistic. It is the moribund environmentalist position humanity has ever devised. The argument of this paper is that the authentic theocentric position is anti-anthropocentric. This position is embedded implicitly or explicitly in the Scriptures if it can be carefully unraveled. Actually It continues thenceforth to establish that theocentric position is distinctly different from every other position. It is yet the most environmentally friendly position, without necessarily being at the expense of humans. (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)

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

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...) as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons based on (...) their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (shrink)

Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...) field. However, the integration of AI also raises concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a comprehensive overview of these developments, offering insights into the future potential of AI in revolutionizing healthcare while addressing the ethical considerations that must accompany its adoption. The findings suggest that while AI holds the promise of transforming healthcare delivery, careful consideration of its implications is essential to ensure equitable and effective implementation. (shrink)

Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it discusses challenges like data privacy, barriers to technology adoption, and the ethical implications of AI in farming. Integrating AI into agricultural practices holds the promise of greater efficiency and sustainability, paving the way for future innovations. (shrink)

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

Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

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

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

Sacrificial dilemmas such as the trolley problem play an important role in experimental philosophy (x-phi). But it is increasingly argued that, since we are not likely to encounter runaway trolleys in our daily life, the usefulness of such thought experiments for understanding moral judgments in more ecologically valid contexts may be limited. However, similar sacrificial dilemmas are experienced in real life by animal research decision makers. As part of their job, they must make decisions about the suffering, and often the (...) death, of many non-human animals. For this reason, a context-specific investigation of so-called “3R dilemmas” (i.e., dilemmas where there is a conflict between the principles of replacement, reduction, and refinement of the use of animals in research) is essential to improve the situation of both non-human animals and human stakeholders. An approach well suited for such investigation is experimental philosophical bioethics (“bioxphi”), which draws on methods similar to x-phi to probe more realistic, practical scenarios with an eye to informing normative debates and ethical policy. In this article, we argue for a need to investigate 3R dilemmas among professional decision-makers using the tools of bioxphi. In a first step, we define 3R dilemmas and discuss previous investigations of professionals’ attitudes in such cases. In a second step, we show how bioxphi is a promising method to investigate the whys and hows of professional decision-making in 3R dilemmas. In a last step, we provide a bioxphi template for 3R dilemmas, give recommendations on its use, explore the normative relevance of data collected by such means, and discuss important limitations. (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)

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

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

Abstract: Early detection of breast cancer is vital for improving patient outcomes and reducing mortality rates. Technological advancements have significantly enhanced the accuracy and efficiency of screening methods. This paper explores recent innovations in early detection, focusing on the evolution of digital mammography, the benefits of 3D mammography (tomosynthesis), and the application of advanced imaging techniques such as molecular imaging and MRI. It also examines the role of artificial intelligence (AI) in diagnostic tools, showing how machine learning algorithms are improving (...) imaging analysis and reducing diagnostic errors. Furthermore, the paper discusses advancements in genetic screening, liquid biopsies, and biomarkers, emphasizing their potential in identifying high-risk individuals and supporting personalized treatment plans. The paper provides a forward-looking perspective on the future of breast cancer detection, addressing both the opportunities and challenges associated with the adoption of these cutting-edge technologies to improve patient outcomes. (shrink)

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

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)

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)

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)

Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...) show that the fine-tuned MobileNetV2 model is able to achieve an accuracy of 85% on the classification task, which is competitive with the state-of-the-art methods. Additionally, the study also found that data augmentation and regularization techniques such as dropout were important for preventing overfitting and improving the performance of the model. This study demonstrates the potential of using pretrained models and efficient CNN architectures for classifying sea animals, and it provides insights into the challenges and best practices for solving this important problem in marine biology and ecology. (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)

Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that (...) align with organizational goals. Furthermore, AI facilitates more engaging and tailored employee experiences by leveraging predictive analytics to anticipate and address employee needs. Despite these advancements, the paper also addresses the ethical considerations and challenges associated with AI in HRM, including data privacy concerns and the risk of over-reliance on automated systems. Through a comprehensive analysis, this paper aims to provide insights into how AI can be strategically leveraged to optimize HRM practices, while highlighting the need for a balanced approach that integrates human judgment with technological innovation. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into educational technology has revolutionized learning through Intelligent Tutoring Systems (ITS). These systems harness AI to deliver personalized, adaptive instruction that caters to individual student needs, thereby enhancing learning outcomes and engagement. This paper explores the evolution and impact of ITS, highlighting key AI technologies such as machine learning, natural language processing, and adaptive algorithms that underpin their functionality. By examining various case studies and applications, the paper illustrates how ITS have transformed traditional (...) educational practices and identifies the challenges and limitations associated with their implementation, including data privacy concerns and system biases. The discussion also extends to future directions in ITS development, emphasizing emerging trends and potential advancements. Ultimately, this paper aims to provide a comprehensive understanding of how ITS leverage AI to enhance educational experiences and propose pathways for future research in this dynamic field. (shrink)