While the image of the slave as the antithesis of the freeman is central to republican freedom, it is striking to note that slaves themselves have not contributed to how this condition is understood. The result is a one-sided conception of both freedom and slavery, which leaves republicanism unable to provide an equal and robust protection for historically outcast people. I draw on the work of Frederick Douglass – long overlooked as a significant contributor to republican theory – to show (...) one way why this is so. Focusing the American Revolution, the subsequent republican government established new political institutions to maintain the collective interests of the whole population. The political revolution was held in place by processes of public reason that reflected the values and ideas of the people that had rebelled. The black population, however, had not been part of this revolution. After emancipation, black Americans were required to accept terms of citizenship that had already been defined, leaving them socially dominated, subject to the prejudices and biases within the prevailing ideas of public discourse. Douglass argued that republican freedom under law is always dependent on a more fundamental revolution, that he calls a ‘radical revolution in thought’, in which the entire system of social norms and practices are reworked together by members of all constituent social groups – women and men, black and white, rich and poor – so that it reflects a genuinely collaborative achievement. Only then can we begin the republican project of contestatory freedom as independence or non-domination that today’s republicans take for granted. (shrink)

Although they were never to meet and corresponded only briefly, Catharine Macaulay and Mary Wollstonecraft shared a mutual admiration and a strong intellectual bond. Macaulay’s work had a profound and lasting effect on Wollstonecraft, and she developed and expanded on many of Macaulay’s ideas. While she often took these in a different direction, there remains a great synergy between their ideas to the extent that we can understand Wollstonecraft’s own feminist arguments by approaching them through the frameworks and ideas that (...) Macaulay provided. These included the principles of classical republicanism, particularly in its understanding of the values of freedom, equality and virtue, and an understanding of reason as grounded in immutable principles that apply equally to both sexes. On the question of women’s freedom and social equality with men, I argue that though Macaulay sets up the problem in far richer and more detailed philosophical terms, in the end it is Wollstonecraft that has the more compelling account of its far-reaching social implications and of how this might be addressed. (shrink)

Catharine Macaulay was one of the most significant republican writers of her generation. Although there has been a revival of interest in Macaulay amongst feminists and intellectual historians, neo-republican writers have yet to examine the theoretical content of her work in any depth. Since she anticipates and addresses a number of themes that still preoccupy republicans, this neglect represents a serious loss to the discipline. I examine Macaulay’s conception of freedom, showing how she uses the often misunderstood notion of virtue (...) to reconcile the individual and collective elements inherent in the republican model. In her own analysis of the deep-rooted social obstacles that stand in the way of women becoming free, Macaulay identifies a serious problem that confronts all republicans, namely how to secure freedom in the face of entrenched structural imbalances that systematically disadvantage certain classes of person. In the end, I conclude that Macaulay herself cannot overcome the issues she raises. This in no way diminishes the importance of her work since her diagnosis is as relevant today as in her own time. (shrink)

In spite of its everyday connotations, the term independence as republicans understand it is not a celebration of individualism or self-reliance but embodies an acknowledgement of the importance of personal and social relationships in people’s lives. It reflects our connectedness rather than separateness and is in this regard a relational ideal. Properly understood, independence is a useful concept in addressing a fundamental problem in social philosophy that has preoccupied theorists of relational autonomy, namely how to reconcile the idea of individual (...) human agency with the inevitable and necessary influence of other people, both directly and indirectly. I derive my account from the work of Mary Wollstonecraft and Catharine Macaulay, whose contributions have remained largely overlooked by current republican theorists. I have three purposes in this chapter. First, I set out the relational character of independence. Secondly, I outline a republican approach to the problem of structural social threats to agency. Finally, I hope to establish the basis for a fruitful dialogue between republicans and relational autonomy theorists on the requirements and dynamics of individual agency and freedom in oppressive social situations. I identify three distinctive features of the internal logic of freedom as independence that give it a relational character: it always locates the person within a community; there is a mediating role played by the notion of arbitrariness in connecting individual and collective perspectives; a causal relationship exists linking each person’s freedom as independence such that that the dependence of one class of persons jeopardizes the independence of the whole community. (shrink)

The untrained early childhood development education (ECDE) teacher tends to escape from children’s problems instead of dealing with them. They do not know how to deal with different age groups since they do not know what tasks to give which group of children. The type of training enables a teacher to escape the constraints of a curriculum. Once this issue can be established, preferably by research, it will ease the inconsistencies in the ECDE teacher training in Kenya. The purpose of (...) this study was to establish teacher factors that influence the choice of teaching methods used by ECDE teachers in Keiyo South District. This study was guided by the Learning Styles theory by McCarthy (1980) and adopted a descriptive survey design. The study targeted 126 public ECDE centres, 252 ECDE teachers and 126 ECDE head teachers in the public EDCE centres in the district. Simple random sampling technique was used to select 38 public ECDE centres. The study used the questionnaire, interview schedule and observation checklist to collect data. Data was analyzed using descriptive and inferential statistics and presented using frequencies and percentages. The availability of teaching /learning materials, age of the ECDE child, mastery of content and teacher’s experience influenced the choice of teaching method. Others such as teacher motivation, number of children and the school locality also tend to influence the choice of the teaching method. It was also established that there was a relationship between the factors and choice of teaching method. A teacher should embrace the use of a variety of teaching methods; they should appropriately choose the teaching methods in consideration of the learners’ needs. (shrink)

It’s ten minutes before eight on a mild morning in Hanoi, and the philosopher-king of Vietnam’s potent coffee industry is down to the last 2 inches of his first cigar of the day.

A distorted representation of one's own body is a diagnostic criterion and core psychopathology of both anorexia nervosa (AN) and bulimia nervosa (BN). Despite recent technical advances in research, it is still unknown whether this body image disturbance is characterized by body dissatisfaction and a low ideal weight and/or includes a distorted perception or processing of body size. In this article, we provide an update and meta-analysis of 42 articles summarizing measures and results for body size estimation (BSE) from 926 (...) individuals with AN, 536 individuals with BN and 1920 controls. We replicate findings that individuals with AN and BN overestimate their body size as compared to controls (ES= 0.63). Our meta-regression shows that metric methods (BSE by direct or indirect spatial measures) yield larger effect sizes than depictive methods (BSE by evaluating distorted pictures), and that effect sizes are larger for patients with BN than for patients with AN. To interpret these results, we suggest a revised theoretical framework for BSE that accounts for differences between depictive and metric BSE methods regarding the underlying body representations (conceptual vs. perceptual, implicit vs. explicit). We also discuss clinical implications and argue for the importance of multimethod approaches to investigate body image disturbance. (shrink)

This is an extension of my earlier work, How in the World Are There Many Worlds and it's a lot more interesting! This paper explores personal identity and persistence through time in the many-worlds framework, governed by the Many Worlds Interpretation (MWI) of quantum mechanics (QM). First, I will motivate our consideration of the MWI in this context. Second, I will introduce endurantism, which is one answer to the puzzle concerning persistence through time. Third, I will explain the foundational physics (...) underlying the MWI that lends itself to branching worlds. In turn, I will explain what exactly a world amounts to in this picture. Then, I will present three views on personal identity and persistence through time: the bye-bye Betty view, the every-branch view, and the privileged branch view. I will argue that the privileged branch view is the most attractive of the bunch for determining the best candidate among close continuers. Finally, I will discuss knowledge, attitudes, and moral responsibility within the privileged branch view. (shrink)

This article explains Kant’s claim that sciences must take, at least as their ideal, the form of a ‘system’. I argue that Kant’s notion of systematicity can be understood against the background of de Jong & Betti’s Classical Model of Science (2010) and the writings of Georg Friedrich Meier and Johann Heinrich Lambert. According to my interpretation, Meier, Lambert, and Kant accepted an axiomatic idea of science, articulated by the Classical Model, which elucidates their conceptions of systematicity. I show that (...) Kant’s critique of the mathematical method is compatible with his adherence to this axiomatic conception of science. I further show that systematicity furthers traditionally accepted logical ideals of scientific knowledge, which explains why Meier and Kant think that sciences must be ‘systematic’. (shrink)

Three classic distinctions specify that truths can be necessary versus contingent,analytic versus synthetic, and a priori versus a posteriori. The philosopher reading this article knows very well both how useful and ordinary such distinctions are in our conceptual work and that they have been subject to many and detailed debates, especially the last two. In the following pages, I do not wish to discuss how far they may be tenable. I shall assume that, if they are reasonable and non problematic (...) in some ordinary cases, then they can be used in order to understand what kind of knowledge the maker’s knowledge is. By this I mean the sort of knowledge that Alice enjoys when she holds the information that Bob’s coffee is sweetened because she just put two spoons of sugar in it herself. The maker’s knowledge tradition is quite important but it is not mainstream in modern and analytic epistemology and lacks grounding in terms of exactly what sort of knowledge one is talking about. My suggestion is that this grounding can be provided by a minimalist approach, based on an information-theoretical analysis. In the article, I argue that we need to decouple a fourth distinction, namely informative versus uninformative, from the previous three and, in particular, from its implicit association with analytic versus synthetic and a priori versus a posteriori; such a decoupling facilitates, and is facilitated by, moving from a monoagent to a multiagent approach: the distinctions qualify a proposition, a message, or some information not just in themselves but relationally, with respect to an informational agent; the decoupling and the multiagent approach enable a re-mapping of currently available positions in epistemology on these four dichotomies; within such a re-mapping, two positions, capturing the nature of a witness’ knowledge and of a maker’s knowledge, can best be described as contingent, synthetic, a posteriori, and uninformative and as contingent, synthetic, weakly a priori, and uninformative respectively. In the conclusion, I indicate why the analysis of the maker’s knowledge has important consequences in all those cases in which the poietic intervention on a system determines the truth of the model of that system. (shrink)

Semantic contextualism is often used in order to offer solutions for problems in other branches of philosophy, including epistemology. One of such attempts is epistemic contextualism, according to which the semantic value of the word “knows” changes with the context of its utterance. The aim of this paper is to critically investigate Keith DeRose’s contextualism to see up to what extent does it provide a valid anti-sceptical strategy. I argue that while it can be seen as a good rival for (...) global and Ungerian scepticism, it does not lead to the refutation of other variants of classical scepticism. (shrink)

Kant maintains that the only thing that is good in itself, and therefore good without limitation or qualification, is a good will. This is an objectionable claim in support of a controversial position. The problem is not just that the good will is not the only thing that is good in itself, which indeed it is not, but more importantly, that the good will is not so much a thing that is good in itself as it is the good kind (...) of a thing that is otherwise neither good nor bad in itself. The goodness of a good will is no more intrinsic than the goodness of a good act, good outcome, good attitude, good character, or good person. Nor is it even any more so than something as commonplace as a good laugh or a good cup of coffee. A good will, whatever else it may be, is a will that is good, much like how a good act is an act that is good, a good outcome is an outcome that is good, and so on with the other examples, not one of which is good for any reason other than the goodness predicated of the corresponding subject. This paper thus challenges Kant’s position on ontological grounds. It questions the validity of claiming intrinsic goodness for a complex construct whose goodness is, in fact, extrinsic to its substance. The objection is not that the good will might not turn out to be good after all, which is impossible by definition, designation, or stipulation, but that its goodness is axiomatic and derivative rather than intrinsic or fundamental. (shrink)

How does good combine with bad? Most creatures are neither so blessed as to only enjoy good nor so cursed as to only suffer bad. Rather, the good and bad they receive throughout their lives combine to produce their overall quality of life. But it’s not just whole lives that have combined good and bad. Many stretches within contain both positive and negative occurrences whose value is joined to form the overall quality of that span of time. In a single (...) morning someone might wake up, brush their teeth, stub their toe groggily lumbering down the stairs, and have a sip of coffee that’s tasty but so hot they burn their tongue. These events are good and bad for them to various degrees, and their value comes together to form an overall value for them of that morning. A single moment, even, can have combined value from distinct pockets of good and bad that occur simultaneously. The tastiness of the coffee is good, but the pain of the heat is bad. They combine to form an overall value of the sipping moment – negative if the pain outweighed the flavor. Thus, wellbeing and illbeing combine. But how? How can someone rightly chastise themselves for sipping the overly hot coffee when it was, in fact, good because it was tasty? To pose the question starkly, a life can be bad, even so bad to not be worth living, and yet it can have many instances of good, where these goods are, in themselves, pure of any negativity. But how can good make something bad? (shrink)

Over the past few decades, the dominant approach to explaining intentionality has been a naturalistic approach, one appealing only to non-mental ingredients condoned by the natural sciences. Karen Neander’s A Mark of the Mental (2017) is the latest installment in the naturalist project, proposing a detailed and systematic theory of intentionality that combines aspects of several naturalistic approaches, invoking causal relations, teleological functions, and relations of second-order similarity. In this paper, we consider the case of perceptual representations of colors, which (...) is a challenging case for Neander’s theory. This case will brings out a general methodological concern with Neander’s and other naturalistic theories: these theories generally rest on the assumption that the mental intentionality we are acquainted with in everyday life—the phenomenon exhibited by desires for cups of coffee, perceptual experiences of dogs playing in yards, and thoughts about the weather—is the very same kind of phenomenon that cognitive science studies under labels such as “mental representation” and, in some cases, “information processing.” This assumption is dubious, as the case of Neander’s theory illustrates. (shrink)

One can lie by asserting non-literal content. If I tell you “You are the cream in my coffee” while hating you, I can be rightfully accused of lying if my true emotions are unearthed. This is not easy to accommodate under many definitions of lying while also preserving the lying-misleading distinction. The essential feature of non-literal utterances is their falsity when literally construed. This interferes with accounts of lying and misleading, because such accounts often combine a literal construal of (...) what is said by an utterance with a falsity requirement for lying. In the presence of non-literal lies such definitions struggle to make plau- sible predictions for non-literal lies and merely misleading utterances together. In this article I aim to fix this by extending Daniel Hoek’s pragmatic account of conversational exculpature to assertions in general. Since this mechanism is designed to compute the intended meanings of non-literal utterances, it straightforwardly predicts non-literal lies to be as such. The lying-misleading distinction is also preserved, because merely misleading utterances arise out of exploiting a different pragmatic mechanism—Gricean additive implicatures. Along the way I also draw some general lessons about assertion and implicatures. (shrink)

You reach for the bowl with ‘sugar’ written on it only to discover, from the bad taste of your coffee, that it contained salt. Mundane experiences like these show that epistemic justification does not necessarily hold stable across possible changes of information. One can be justified in believing a proposition at a certain time (that the bowl contains sugar) and cease to be justified at a later time, as one enlarges one’s epistemic perspective (as one drinks a salty (...) class='Hi'>coffee). When this happens, one’s justification has been defeated. An epistemic defeater, broadly speaking, is that in terms of which the defeat of justification proceeds. The notion of an epistemic defeater is mostly associated with J. Pollock’s work on reasoning and inference. Pollock has provided the canonical definition of an epistemic defeater and proposed an influential taxonomy in terms of the way different types of defeaters induce their characteristic effects. The notion of an epistemic defeater has acquired a broader meaning in current epistemology, and several distinctions have been introduced that have contributed to a more nuanced understanding of the phenomenon of defeat as well as to complement Pollock’s original taxonomy. The correlated notion of a propositional defeater, defined in terms of would-be defeat of justification, is appealed to by the proponents of the defeasibility theory in the parallel debate about knowledge to explain what prevents a justified true belief from constituting knowledge in Gettier cases. (shrink)

Why are cities looking more and more alike? Why do hipster coffee shops and clothing boutiques all share that same vibe? One answer is that gentrification represents an invasive force that forcibly re-models cities, from the top-down, to meet the monotone eye of the gentrifier. Gentrification brings in external developers and designers, who create new businesses which all meet that one monotonous aesthetic mold. But I suggest, using work from Quill Kukla and Jane Jacobs, that this top-down model of (...) gentrification is incomplete. Gentrification also incentivizes local residents to remake their own businesses and properties to meet that monotone eye. Gentrification is a pressure which pushes cities to meet a universalized and therefore homogenized taste, rather than letting diverse tastes flourish. (This piece originally published as part of a symposium on Quill Kukla's City Living.). (shrink)

Many of the items that humans consume are produced in ways that involve serious harms to persons. Familiar examples include the harms involved in the extraction and trade of conflict minerals (e.g. coltan, diamonds), the acquisition and import of non- fair trade produce (e.g. coffee, chocolate, bananas, rice), and the manufacture of goods in sweatshops (e.g. clothing, sporting equipment). In addition, consumption of certain goods (significantly fossil fuels and the products of the agricultural industry) involves harm to the environment, (...) to future persons, and to current persons in low-lying and developing countries, by way of their impacts on climate change. When it comes to such large-scale harms, it's easy for the individual to feel helpless. Even if she sincerely wishes things were otherwise, she may wonder what she could possibly do to make them so. In this paper I briefly explore several promising avenues for generating duties in individuals to consume ethically, and develop one in particular: that an individual ought to signal her commitments to others, as a first step in collectivizing to act against unjust global labour practices. (shrink)

There are important structural similarities in the way that animals and humans engage in unreflective activities, including unreflective social interactions in the case of higher animals. Firstly, it is a form of unreflective embodied intelligence that is ‘motivated’ by the situation. Secondly, both humans and non-human animals are responsive to ‘affordances’ (Gibson 1979); to possibilities for action offered by an environment. Thirdly, both humans and animals are selectively responsive to one affordance rather than another. Social affordances are a subcategory of (...) affordances, namely possibilities for social interaction offered by an environment: a friend’s sad face invites comforting behavior, a person waiting for a coffee machine can afford a conversation, and an extended hand affords a handshake. I will review recent insights in the nature of the bodily intentionality characteristic of unreflective action. Such ‘motor intentionality’ can be characterized as “our direct bodily inclination to act in a situated, environmental context” (Kelly 2005, p. 106). Standard interpretations of bodily intentionality see grasping an object as the paradigmatic example of motor intentionality. I will discuss the implications of another, novel perspective that emphasizes the importance of unreflective switches from one activity to another (Rietveld 2004) and understands bodily intentionality in terms of adequate responsiveness to a field of relevant affordances. In the final section I will discuss some implications for cognitive neuroscientists who use empirical findings related to the ‘mirror neuron system’ as a starting point for a theory of motor intentionality and social cognition. (shrink)

The God Experiment – Let there be Light -/- The question “What is real?” can be traced back to the shadows in Plato’s cave. Two thousand years later, Rene Descartes lacked knowledge about arguing against an evil´ deceiver feeding us the illusion of sensation. Descartes’ epistemological concept later led to various theories of what our sensory experiences actually are. The concept of ”illusionism”, proposing that even the very conscious experience we have – our qualia – is an illusion, is not (...) only a red-pill scenario found in the 1999 science fiction movie ”The Matrix” but is also a philosophical concept promoted by modern tinkers, most prominently by Daniel Dennett. He describes his argument against qualia as materialistic and scientific. Reflection upon a possible simulation and our perceived reality was beautifully visualized in “The Matrix”, bringing the old ideas of Descartes to coffee houses around the world. Irish philosopher Bishop Berkeley was the father of what has later been coined as “subjective idealism”, basically stating that “what you perceive is real” (e.g., ”The Matrix” is real because its population perceives it). Berkeley then argued against Isaac Newton’s absolutism of space, time, and motion in 1721, ultimately leading to Ernst Mach and Albert Einstein’s respective views. Several neuroscientists have rejected Dennetts’ perspective on the illusion of consciousness, and idealism is often dismissed as the notion that people want to pick and choose the tenets of reality. Even Einstein ended his life on a philosophical note, pondering the very foundations of reality. With the advent of quantum technologies based on the control of individual fundamental particles, the question of whether our universe is a simulation isn’t just intriguing. Our ever-advancing understanding of fundamental physical processes will likely lead us to build quantum computers utilizing quantum effects for simulating nature quantum-mechanically in all complexity, as famously envisioned by Richard Feynman. Finding an answer to the simulation question will potentially alter our very definition and understanding of life, reshape theories on the evolution and fate of the universe, and impact theology. No direct observations provide evidence in favor or against the simulation hypothesis, and experiments are needed to verify or refute it. In this paper, we outline several constraints on the limits of computability and predictability in/of the universe, which we then use to design experiments allowing for first conclusions as to whether we participate in a simulation chain. We elaborate on how the currently understood laws of physics in both complete and small-scale universe simulations prevent us from making predictions relating to the future states of a universe, as well as how every physically accurate simulation will increase in complexity and exhaust computational resources as global thermodynamic entropy increases. Eventually, in a simulation in which the computer simulating a universe is governed by the same physical laws as the simulation and is smaller than the universe it simulates, the exhaustion of computational resources will halt all simulations down the simulation chain unless an external programmer intervenes or isn’t limited by the simulation’s physical laws, which we may be able to observe. By creating a simulation chain and observing the evolution of simulation behavior throughout the hierarchy taking stock of statistical relevance, as well as comparing various least complex simulations under computability and predictability constraints, we can gain insight into whether our universe is part of a simulation chain. -/- Index Terms—Simulation, simulation hypothesis, quantum computing, universe, life, intelligence. (shrink)

The primary intention of this book is to elucidate the relations between sensory perception and art as a form of knowledge. This enables us to understand how different kinds of art are given their meaning not only from observation, resemblance and reason but also from an artist’s sensitivity to the inner form of sensory experience as it is realized in perception, reflection, memory and imagination. By assuming a number of different points of view, Part 1 shows how the physical object (...) and the act of sensory perception are logically interdependent, and I give my elaboration of this argument two kinds of emphasis. In the first place, it opposes all arguments that support a merging of the mental and physical, as in idealism, materialism, neutral monism and panpsychism. A conceptual distinction is observed because sensory perception gives the physical object its identity. This idea also implies that the physical object is only realized by sentient life - self-aware inner life and a world become possible simultaneously. The second emphasis concerns the mind-body problem, and towards the end of Part 1 I offer an argument which places this problem in a certain light by representing the brain not as a physical counterpart to inner experience but as essentially instrumental to perception and self-awareness, and related experience. The argument in Part 2 is distinguished by a sense of continuity between the nature of sensory perception and the formal resources of artists in both physical and literary media. Hence, in a discussion of Titian’s Assumption of the Virgin, I indicate ways in which the painter conveys the inner experience and character of the figures in the painting by means of compositional design, light and colour, and thereby uses these and other sensuous resources to portray human life and experience. This is followed by a discussion of two sonnets by Shakespeare, in which the same general aim is pursued by using the literary resources of figurative language. Finally, a discussion of Hamlet shows how, in this work, the augmentation of figurative language by dramatic form strengthens the view that art can provide a form of knowledge that is based as completely upon intuition about our sensory experience as it is upon reason and observation. Just as my (true) perception of a cup as a vessel for drinking tea or coffee arises immediately from past experience, so the dramatist can see immediately from his or her past experience how a character might perceive things and behave. -/- . (shrink)

I argue that current projects in ‘naturalized metaphysics’ fail to be properly naturalistic, and thereby fail in their stated aim to take one’s metaphysics from science. I argue that naturalism must involve the idea of taking science seriously, and that this can only be spelled out in terms of taking not only the theories of science seriously, but also its practice and its socio-linguistic situatedness seriously as well. This accords with naturalism because not doing so draws an artificial (non-natural) distinction (...) between the epistemic products of science as essence, and its socio-linguistic and practical features as accidents. The picture of naturalism which falls out of this is a form of pragmatism. Once this is spelled out, the question becomes, what is the appropriate attitude for the pragmatist/naturalist to have toward ontology? It is not the same as that of traditional metaphysics, since such an attitude (that metaphysical theorizing can make positive epistemic contributions) requires a priori commitments which themselves are (1) not subject to empirical review, and (2) are anthropocentric and so potentially distorted. But the pragmatist/naturalist will not go the opposite way, and say that metaphysics is meaningless either, since (true to their pragmatic commitments) ontology does things for the scientist and the layperson. It is a mistake to reject it wholesale, since the task of asserting what there is, exposing such an ontology to criticism, both empirical and logical, and revising it, has both small-scale and large-scale consequences. On the small-scale, ontologies are a guide for thinking—scientists, engineers, and lay people can and do use models of existence to navigate occurent problems in their day-to-day lives. Whether this is posing research hypotheses, developing protocols for generating new materials, or cooling off a cup of coffee, ontology plays a role. Large-scale consequences are more weighty, and more difficult to see. These large-scale consequences have to do with the aims and values which individuals and societies possess, and their interrelation with ontology. This certainly was at the forefront of the earliest ontologies—the Epicureans and Stoics built their moral philosophy on the basis of what ontology they thought was correct. This sort of practice goes on, unabated, today, though with virtually no overt acknowledgement of this important interdependency. How, for the pragmatist, do we make sense of ontological talk, if we are to eschew traditional metaphysics? Ontology—the naturalist/pragmatist declares—is a tool. Ontology helps us do things, whether it be predict behavior, understand phenomena, blame or forgive someone, and hope or despair about a life after this one (for example). Building an ontology is about building our own concepts, and this, in turn is a negotiation between our beliefs, experiences, and commitments, and the beliefs, experiences, and commitments of with whom we’re discursively engaged. (shrink)

One of the most widely debated and influential implications of the "demise" of positivism was the realization, now a commonplace, that philosophy of science must be firmly grounded in an understanding of the history of science, and/or of contemporary scientific practice. While the nature of this alliance is still a matter of uneasy negotiation, the principle that philosophical analysis must engage "real" science has transformed philosophical practice in innumerable ways. This short paper is the introduction to a symposium presented at (...) the 1994 PSA Biennial meetings that focused attention on recent developments at the interface between various disciplinary science studies fields. It brought together two philosophers who explore the implications of sociological and historical contextualization for philosophical studies of science, Brian Baigrie and Joseph Rouse; and a sociologist and historian, Andy Pickering and Betty Smocovitis, whose work raises philosophical questions about the sciences and about science studies. Each argued for ways of reconceptualizing our subject domains, our purposes, and our conventional strategies of inquiry that promise much richer understanding of the sciences, but necessarily challenge discipline-specific traditions of science studies quite profoundly. If there is a common theme to be discerned in these discussions it is that, in the spirit of Rouse's recommendations, science studies should be understood to be an essentially open ended and dynamic enterprise, like the sciences they study. (shrink)

Is it possible to build a conscious machine, an artifact that has qualitative experiences such as feeling pain, seeing the redness of a flower or enjoying the taste of coffee ? What makes such experiences conscious is their phenomenal character: it is like something to have such experiences. In contemporary philosophy of mind, the question of the qualitative aspect of conscious experiences is often addressed in terms of qualia. In a pre-theoretical and intuitive sense, qualia refer to the phenomenal (...) character or “what-it’s-like-ness” of a conscious experience: the painfulness of a pain experience or the redness of a visual experience of a red object. The problem of artificial qualia is the question of the theoretical possibility of the realization of qualia by artifacts. In this work, this problem will serve as a methodological tool to address what is arguably the most fundamental question of philosophy of mind: what exactly is consciousness? (shrink)

Many approaches to addressing labour injustices—shortfalls from minimally decent wages and working conditions— focus on how governments should orient themselves toward other states in which such phenomena take place, or to the firms that are involved with such practices. But of course the question of how to regard such labour practices must also be faced by individuals, and individual consumers of the goods that are produced through these practices in particular. Consumers have become increasingly aware of their connections to complex (...) global production processes that often involve such injustice. For example, activist campaigns have exposed wrongful harm in factories producing clothes, shoes and mobile phones and farms producing coffee, tea and cocoa. These campaigns have promoted the message to ordinary people that by becoming connected to unjust labour practices through their purchasing behaviour, they acquire special additional moral responsibilities to contribute to reforming such practices, or to address the hardships suffered by the victims of the wrongdoing that result from them. The moral significance of the responsibilities of individual consumers has not, however, received much analytical scrutiny. Why should we believe that there are such responsibilities? And if there are such responsibilities, what are their grounds? How stringent are the responsibilities triggered by such connections? Finally, what are the implications of such responsibilities—the courses of action that they prescribe or proscribe? The activists who assert special ethical responsibilities for consumers have promoted many particular courses of action, but have seldom articulated the grounds of these responsibilities or explained why they should be taken to be stringent. And moral and political theorists have not devoted much focussed attention to this issue. For the consumer who is concerned to act in a morally permissible way, this presents a troubling practical challenge regarding the goods they may (or may not) purchase, and the moral relevance of their consumption choices more generally. While we cannot address all of these pressing questions in this chapter, we try to make some headway with them by discussing two general approaches to the question of how individuals should conceive of their responsibilities with respect to such practices, taking as our starting point the recent work of the late Iris Marion Young—the most sustained treatment of this topic by a prominent political theorist. In a series of influential articles and a posthumously published book, Young articulated an approach to conceiving of individual responsibilities to address labour injustices—the social connection model—at home and abroad. She also argued that an alternative model—the liability model—which she claimed had dominated discourse on this topic, suffered from very serious flaws. In a critical vein, we will argue that Young’s arguments against the liability model are not convincing, and that the alternative she proposes is itself vulnerable to some damaging objections. We also find, however, that the liability model would need to be extended in various ways to provide an adequate account of individual responsibility to address shortfalls from minimally decent wages and working conditions, and we begin the task of sketching an extended framework. (shrink)

The choices we make in our daily lives have consequences that span the oceans: many consumers are not aware that some of the most exotic foods which belong to our breakfast plates every single day, such as coffee or chocolate, have a profound impact on the lives of many people. In Western societies, we are used to eating and consuming fresh ingredients which sprout on a different continent, yet we are unable to see the very hands that carry a (...) simple thing as a banana to our tables, as a consequence of a global supply chain. This alienation from the places and people involved in the supply chain leads consumers to ignore the impact of producing some foods and enabling them to travel all the way to one’s table. What is regarded as a simple commodity, in fact, is a result of the labour and exploitation of many families and crops on the other side of the ocean. Modern slavery comes in many guises and is often obscured by the alienation of modern consumers from their products, an example of which includes the slave system that holds many people tied behind our food chains. As consumers, we unconsciously become commissioners of a system of inequality and exploitation which we ignore. This includes many ‘fair-trade’ certified products, which are employed by multinationals as a psychological marketing tactic. This phenomenon is described by the cultural anthropologist Richard Robbins (2013) as the ‘commodification of morality’, where even commitments to just, fair or sustainable practices have been monopolised by economic agents. Within this framework, our moral choices are put on the market with a price which rarely returns or reflects the true cost of such products. This article begins by defining modern slavery, proceeding with a particular focus on forced labour in the current neoliberal regime. This is then contextualised in the case study of bananas as one of the most consumed, yet furthest grown, items of Western diets. The article then analyses the ethical backdrop of economic practices, using the fair-trade movement as a synecdoche of the moral economy of our day. The main question raised within this analysis is to what extent our moral choices can contribute to exploitation or to social change, and how our way of eating can oppose the great inequalities that still exist in the present context. (shrink)

This article tries to establish the scopes and limits of the main interpretations on Newton during the 20th century, highlighting on the one hand the textual evidence at disposal, and on the other hand the philosophical and epistemological currents that defines the main features of those interpretations. It will be shown that the rejection of positivism is not sufficient condition for establishing an adequate interpretation and, together with the strengthening of the research from Newton’s manuscript, it is necessary a wider, (...) and more detailed model that those established by some of the most outstanding scholars like Alexandre Koyré, I. Bernard Cohen, Betty Dobbs, and Richard Westfall. (shrink)

The Vienna Circle was a group of scientifically-minded philosophers, many physicists by training, who in the 1920s and 30s developed the cluster of philosophical doctrines known as Logical Positivism. Among the Circle’s most distinguished members were Rudolf Carnap and Herbert Feigl, each of whom emigrated to America during the Nazi era. It is said that Feigl, the author of an important 1958 monograph defending a materialist approach to the mind-body problem, once gave a visiting lecture on the problem of consciousness (...) at UCLA, where Carnap was teaching. Feigl argued that although there were good reasons for believing that the mind is fundamentally physical, the physical explanation of the ‘qualia’ of sensory experience – the ineffable sensory qualities involved in, say, smelling coffee – was still a mystery to science. Now the story becomes apocryphal. Carnap is supposed to have interrupted, ‘But Feigl, there is something missing from your lecture. Science is beginning to explain qualia in terms of the alpha factor!’. We can imagine Feigl somewhat alarmed by this interjection from the great Carnap: ‘But Carnap, please tell me: what is the alpha factor?’. ‘Well, Feigl’ Carnap replied ‘if you tell me what qualia are, I’ll tell you what the alpha factor is’. (shrink)

The History of Ideas is presently enjoying a certain renaissance after a long period of disrepute. Increasing quantities of digitally available historical texts and the availability of computational tools for the exploration of such masses of sources, it is suggested, can be of invaluable help to historians of ideas. The question is: how exactly? In this paper, we argue that a computational history of ideas is possible if the following two conditions are satisfied: (i) Sound Method . A computational history (...) of ideas must be built upon a sound theoretical foundation for its methodology, and the only such foundation is given by the use of models , i.e., fully explicit and revisable interpretive frameworks or networks of concepts developed by the historians of ideas themselves. (ii) Data Organisation. Interpretive models in our sense must be seen as topic-specific knowledge organisation systems (KOS) implementable (i.e. formalisable) as e.g. computer science ontologies. We thus require historians of ideas to provide explicitly structured semantic framing of domain knowledge before investigating texts computationally, and to constantly re-input findings from the interpretive point of view. In this way, a computational history of ideas maximally profits from computer methods while also keeping humanities experts in the loop. We elucidate our proposal with reference to a model of the notion of axiomatic science in 18th -19th century Europe. (shrink)

Abstract— Anatomy of the anterior compartment includes the tibia and the fibula. It also includes the tibialis anterior tendon, the extensor hallucis longus tendon and the extensor digitorum longus tendons. The anterior tibial artery and the deep peroneal nerve and finally the superior and inferior extensor retinaculum. In this paper an expert system was designed to help users to correctly diagnose ankle problems. There are many structures present at the anterior aspect of the ankle; these structures are often susceptible to (...) injury common injuries and conditions around the anterior ankle. Clips expert system language was used to design and implement this expert system. (shrink)

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

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

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

Abstract: The study aimed to determine the strategic flexibility and its relationship to the level of quality of services provided, from the viewpoint of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data and consisted of (39) items, and the researchers used the comprehensive survey method, and the number of the study population was (536) individuals, where (434) questionnaires were retrieved, (...) and the recovery rate was (80.97%). The study revealed many results, the most important of which were: the existence of a moderate degree of approval by the study sample individuals on strategic flexibility, as it was evident through the area of strategic flexibility as a whole having a relative weight (60.44%). The study is on the quality of services, as it became clear through the field of service quality obtaining a relative weight (79.90%). The results of the study revealed a statistically significant relationship between strategic flexibility and the quality of services in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.490. The study reached many recommendations, the most important of which were: the need to work on appointing young people and those with potentials, because jobs are vacant in the hospitals under study, and the need to seek the help of an administrative staff with scientific and practical qualifications, and to work on updating information systems, archiving and networks through which data and information are transferred between departments And the creation of mechanisms by which stored information can be used to enhance the decision-making process, and an effective system to receive patients' complaints in a manner that ensures rapid response and treatment, to achieve continuous communication between patients and the hospital management, and to notify patients of dealing with the complaints they submit, and work to provide all Medical and health specialties in the hospitals under study, by making use of the medical delegations that visit Gaza Strip, involving them in the treatment processes, bringing in doctors and specialists from abroad, updating the standards related to measuring the services provided to patients on an ongoing basis, based on the suggestions and complaints of patients, and developing facilities in hospitals As well as updating the medical devices and equipment used in hospitals periodically. (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)

Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...) helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task. (shrink)

The study aimed at identifying responsive flexibility and its role in improving service quality, from the point of view of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data, and the researchers used the comprehensive survey method, and the number of the study population was (536) single, where (434) questionnaires were retrieved, and the recovery rate was (80.97%). The study showed (...) many results, the most important of which were: The presence of moderate degree of approval by the study sample on the responsive flexibility, as it was evident through the response flexibility field obtaining a relative weight (60.50%), and the results of the study indicated that there is a high degree of approval by the members of the study sample. On the quality of service, as it was evident through the field of service quality obtaining a relative weight (79.90%). The results of the study revealed a statistically significant relationship between responsive flexibility and service quality in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.418, and the results of the study revealed a statistically significant effect between responsive flexibility and service quality in non-governmental hospitals in Gaza Strip. The study reached many recommendations, the most important of which were: Finding mechanisms by which stored information can be used to enhance the decision-making process, and setting up an effective system to receive patients' complaints in a manner that ensures rapid response and treatment, to achieve continuous communication between patients and the hospital management, and to notify patients of abuse With the complaints that they submit, and working to provide all medical and health specialties in the hospitals under study, by making use of the medical delegations that visit Gaza Strip, involving them in the treatment processes, bringing in doctors and specialists from abroad, and updating the standards related to measuring the services provided to patients continuously, based on On patients' suggestions and complaints, developing facilities in hospitals, as well as updating medical devices and equipment used in hospitals periodically. (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)

Abstract: This study aimed to identify the behavior of organizational citizenship in Palestinian Police Force between reality and expectations, and this study comes to study the reality of human resources and their organizational behavior in the police apparatus, which is the largest security services operating in Gaza Strip, so it is expected that this study will contribute to improving this This aspect will be reflected positively on serving the country and the citizen and achieving security and safety for them. The (...) study relied on the descriptive and analytical approach, using the questionnaire, and targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and the study tool was distributed to the sample members in all departments and governorates Police in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%), and they were analyzed using (SPSS) software. The study found that the organizational citizenship behavior was largely due to all its components. The study also showed that there are statistically significant differences between the respondents ’average response towards the organizational citizenship behavior due to the variables (type of administration, age group, job title, military rank, and years of service). The study recommended taking into account the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and finally, the study recommended that organizational citizenship behavior be considered an organizational value that the police seek, and to create an organizational climate in which a sense of justice prevails, given its prominent role in stability, calm and discipline at work Thus, the elevation of the police institution and the achievement of its desired goals. (shrink)

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

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning (...) is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...) identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...) predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

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

Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...) large number of documents. To overcome the drawbacks of offline signature verification, we have seen a growth in online biometric personal verification such as fingerprints, eye scan etc. In this paper we created CNN model using python for offline signature and after training and validating, the accuracy of testing was 99.70%. (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: 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)

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)

As sustainable tourism gains increasing attention, understanding the factors that influence travelers' motivation to engage with sustainable travel agents becomes crucial. This study investigates the moderating effect of social media usage on the relationship between the perceived value of websites and motivational factors for sustainable travel agents. The study proposes that social media usage acts as a moderator in shaping the relationship between the perceived value of websites and motivational factors. This study has utilized smart tourism. Therefore, independent variable motivation (...) in terms of informativeness gratification and gratification acted as moderating variables. This study has utilized an online questionnaire adapted from a standardized questionnaire based on the literature review. Moreover, a total of 146 managers were surveyed in which they were required to respond to 55 items that elicited the 7 variables social media use, Propensity, perceived website value, motivating factors, entertainment gratification, informativeness gratification, sustainable smart tourism. The data were analyzed by SPSS and PLS-SEM. The findings indicated that relevance and importance of social media use and sustainable smart tourism. The result revealed that 7 hypotheses had a significant relationship. 3 hypotheses did not show a moderating effect. Overall, this study extends the understanding of sustainable smart tourism. These findings will benefit travel agents’ managers in Malaysia to better understand the role of social media use and utilize it towards developing sustainable sustainable smart tourism. (shrink)