Translation of "Von der Armut am Geiste; ein Dialog des jungen Lukács," by Ágnes Heller. This translation originally appeared in The Philosophical Forum, Spring-Summer 1972.

In real-time, Twitter strongly imprints world events, popular culture, and the day-to-day; Twitter records an ever growing compendium of language use and change; and Twitter has been shown to enable certain kinds of prediction. Vitally, and absent from many standard corpora such as books and news archives, Twitter also encodes popularity and spreading through retweets. Here, we describe Storywrangler, an ongoing, day-scale curation of over 100 billion tweets containing around 1 trillion 1-grams from 2008 to 2020. For each day, we (...) break tweets into 1-, 2-, and 3-grams across 150+ languages, record usage frequencies, and generate Zipf distributions. We make the data set available through an interactive time series viewer, and as downloadable time series and daily distributions. We showcase a few examples of the many possible avenues of study we aim to enable including how social amplification can be visualized through ‘contagiograms’. (shrink)

Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to (...) explaining variance in ethical behaviors than do values at the societal-level. Implicitly, our findings question the soundness of using societal-level values measures. Implications for international business research are discussed. (shrink)

This qualitative case study investigates the environmental implications of tourist arrivals in Matabungkay Beach, Lian, and their impact on the destination image. Through in-depth interviews with seven key stakeholders, including local residents, business owners, and environmental activists, the study explores perceptions, concerns, and potential solutions regarding the intersection of tourism and environmental sustainability. Findings reveal a complex relationship between tourism and environmental degradation, with participants expressing concerns about poor waste management, impacts on destination image, and health concerns. These challenges not (...) only threaten the natural beauty and biodiversity of the area but also tarnish the destination's image, affecting its appeal to tourists and potential investors. Despite these challenges, participants highlight existing initiatives and potential solutions, including community-based conservation efforts, sustainable tourism practices, and enhanced regulations. Collaboration among stakeholders is emphasized as crucial for achieving a balance between tourism development and environmental preservation. The study underscores the need for comprehensive strategies includes formulated an ordinance for comprehensive waste management and pollution control ordinance to optimize the destination image of Matabungkay Beach while addressing its environmental challenges. By integrating sustainable practices and fostering community engagement, the destination can enhance its appeal while safeguarding its natural resources for future generations. (shrink)

This study was intended to determine the level of factors affecting the decision of 4th year BS Accountancy students from College of Maasin to work after graduation or to take the 2022 CPALE. In order to determine the factors affecting the decision of the graduating Accountancy students, the researchers adopted the descriptive survey design. Descriptive survey is a sort of descriptive study that uses surveys to collect data on a variety of issues. The goal of this information is to see (...) how different circumstances can be obtained among the respondents. The following results were derived in the course of the conduct of this study; There is bigger percentage of female than of male where 26 out of 27 belongs to the age group of 20 to 22. Majority of the student’s parent’s occupation status is working. Conversely, most of them only earns P2,000 to P5,000 per month even though the household member earning for a living is 1 to 4 members, the first 3 factors namely financial status, peer pressure and parent’s influence were found to slightly affect the decision of the student with regards to taking the CPALE or to work after graduation. The last factor, school’s teaching influence turned out that it somewhat affects the decision of the students, there is a significant difference between the teaching influence factor and the demographic profile of gender while on the age and parent’s occupation status, it has a significance difference with financial status factor. As BSA students taking a course where a licensure examination awaits after graduation, it is necessary to take some factors into consideration before coming up into a decision regarding taking the CPALE or to work after graduation. Based on the results of the study, the level of factors to affect the decision of the students was determined. It has been shown in the results that the three factors namely financial status, peer pressure and parent’s influence can slightly affect the student’s decision. However, among three, peer pressure has the highest weighted mean rating of 2.86. On the other hand, the school’s teaching influence has the lowest weighted mean rating of 2.29 which means it can somewhat affect the decision of the student. (shrink)

Readers assume that commonplace properties of the real world also hold in realistic fiction. They believe, for example, that the usual physical laws continue to apply. But controversy exists in theories of fiction about whether real individuals exist in the story’s world. Does Queen Victoria exist in the world of Jane Eyre, even though Victoria is not mentioned in it? The experiments we report here find that when participants are prompted to consider the world of a fictional individual (“Consider (...) the world of Jane Eyre…”), they are willing to say that a real individual (e.g., Queen Victoria) can exist in the same world. But when participants are prompted to consider the world of a real individual, they are less willing to say that a fictional individual can exist in that world. The asymmetry occurs when we ask participants both if a real person is in the character’s world and if the person would appear there. However, the effect is subject to spatial and temporal constraints. When the person and the character share spatial and temporal settings, interchange is more likely to occur. These results shed light on the author’s implicit contract with the reader, which can license the reader to augment a fictional world with features that the author only implicates as part of the work’s background. (shrink)

Deep Democracy draws upon the insights of American thinkers whose work has received less attention than the "holy trinity" of Peierce, James and Dewey, in order to investigate current philosophical problems and questions. The work does carry out a sustained interaction with the work of Dewey, in the course of exploring the nature of, obstacles to, and prospects for strengthening the fabric of democracy in the contemporary world. But Green also puts Dewey in conversation with Jane Addams, Alain Locke, (...) Martin Luther King, Malcolm X and Cornel West. Green draws these thinkers together—and draws out the links between them—in order to develop her notion of “deep democracy.”. (shrink)

Emphasizing the human body in all of its forms, Beauty Unlimited expands the boundaries of what is meant by beauty both geographically and aesthetically. Peg Zeglin Brand and an international group of contributors interrogate the body and the meaning of physical beauty in this multidisciplinary volume. This striking and provocative book explores the history of bodily beautification; the physicality of socially or culturally determined choices of beautification; the interplay of gender, race, class, age, sexuality, and ethnicity within and on the (...) body; and the aesthetic meaning of the concept of beauty in an increasingly globalized world. Foreward by Carolyn Korsmeyer. Authors include Noel Carroll, Gregory Velazco Y Trianosky, Monique Roelofs, Whitney Davis, Eleanor Heartney, Diana Tietjens Meyers, Phoebe M. Farris, Mary Devereaux, Jo Ellen Jacobs, Karina L. Cespedes-Cortes and Paul C. Taylor, Fedwa Malti-Douglas, Stephen Davies, Jane Duran, Valerie Sullivan Fuchs, Keith Lehrer, Allen Douglas, Cynthia Freeland, Eva Kit Wah Man, Mary Bittner Wiseman, and Peg Brand's essay, "ORLAN Revisited: Disembodied Virtual Hybrid Beauty.". (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

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

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

Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...) by diverse research groups in the recent past. However, yet effective and comprehensive deep ensemble neural network-based classification model with high accuracy classification results is not available in the literature. In this thesis, we review ways and mechanisms to use deep learning techniques to research on multi-disease computer-aided detection about gastrointestinal and identify these images. We re-trained five state-of-the-art neural network architectures, VGG16, ResNet, MobileNet, Inception-v3, and Xception on the Kvasir dataset to classify eight categories that include an anatomical landmark (pylorus, z-line, cecum), a diseased state (esophagitis, ulcerative colitis, polyps), or a medical procedure (dyed lifted polyps, dyed resection margins) in the Gastrointestinal Tract. Our models have showed results with a promising accuracy which is a remarkable performance with respect to the state-of-the-art approaches. The resulting accuracies achieved using VGG, ResNet, MobileNet, Inception-v3, and Xception were 98.3%, 92.3%, 97.6%, 90% and 98.2%, respectively. As it appears, the most accurate result has been achieved when retraining VGG16 and Xception neural networks with accuracy reache to 98% due to its high performance on training on ImageNet dataset and internal structure that support classification problems. (shrink)

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

Some philosophers argue that martial arts training is maladaptive, contributes to psychological illness, and provides a social harm, whereas others argue that martial arts training is adaptive, contributes to psychological wellness, and provides a social benefit. This debate is important to scholars and the general public since beliefs about martial arts training can have a real impact on how we evaluate martial artists for job opportunities and career advancement, and in general, how we treat martial artists from different cultures in (...) our communities. This debate is also important for children and adults that have considered enrolling in martial arts training programs but remain uncertain about potential outcomes of training due to the lack of research in this area. This article therefore contributes to the literature on martial arts by (1) outlining a framework that characterizes psychological well-being in terms of five elements, (2) discussing how results from empirical research support the hypothesis that Muay Thai training can contribute to psychological well-being by contributing to all five component elements, (3) discussing the psychological benefits of martial arts training from the perspective of an Everlast Master Instructor, and (4) discussing how martial arts training involves the cultivation of combat-relevant affordances. (shrink)

Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of (...) the disease. Methods: In this paper, the expert system is designed for the ability of agricultural engineers to detect and diagnose disease of castor like as: seeding blight, alternaria blight, cercospora leaf spot, powdery mildew and wilt. This system presents the disease symptoms, survival and spread, favorable conditions and image for each disease. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Results: The expert system in the diagnosis of castor diseases was assessed by farmers and agricultural engineers and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for farmers and people have experience in the plant of castor to detect and diagnosis the symptoms that may face this plant from several disease. (shrink)

This editorial introduces the Journal of Consciousness Studies special issue on "Animal Consciousness". The 15 contributors and co-editors answer the question "How should we study animal consciousness scientifically?" in 500 words or fewer.

In order to better understand the topic of hope, this paper argues that two separate theories are needed: One for hoping, and the other for hopefulness. This bifurcated approach is warranted by the observation that the word ‘hope’ is polysemous: It is sometimes used to refer to hoping and sometimes, to feeling or being hopeful. Moreover, these two senses of 'hope' are distinct, as a person can hope for some outcome yet not simultaneously feel hopeful about it. I argue that (...) this distinction between hoping and hopefulness is not always observed or fully appreciated in the literature and has consequently caused much confusion. This paper then sketches what theorizing about hope looks like in light of this clarification and discusses some of its implications. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

The genetic modification of pigs as a source of transplantable organs is one of several possible solutions to the chronic organ shortage. This paper describes existing ethical tensions in xenotransplantation (XTx) that argue against pursuing it. Recommendations for lifelong infectious disease surveillance and notification of close contacts of recipients are in tension with the rights of human research subjects. Parental/guardian consent for pediatric xenograft recipients is in tension with a child’s right to an open future. Individual consent to transplant is (...) in tension with public health threats that include zoonotic diseases. XTx amplifies concerns about justice in organ transplantation and could exacerbate existing inequities. The prevention of infectious disease in source animals is in tension with the best practices of animal care and animal welfare, requiring isolation, ethologically inappropriate housing, and invasive reproductive procedures that would severely impact the well-being of intelligent social creatures like pigs. (shrink)

The terms ‘compatibilism’ and ‘incompatibilism’ were introduced in the mid-20th century to name conflicting views about the logical relationship between the thesis of determinism and the thesis that someone has free will. These technical terms were originally introduced within a specific research paradigm, the classical analytic paradigm. This paradigm is now in its final stages of degeneration and few free-will theorists still work within it (i.e. using its methods, granting its substantive background assumptions, etc.). This chapter discusses how the ambiguity (...) of the terms ‘incompatibilism’ and ‘compatibilism’ took root as the classical analytic paradigm declined and why this matters to the contemporary debate. Among other things, I explain why the ambiguity of these anachronistic terms, though relatively innocuous when they were first introduced, is now encouraging theorists to tolerate and perpetuate serious philosophical errors (e.g. to conflate relations as different in kind and importance as correlation and causation, to promote uncontentiously invalid arguments, and to equivocate in ways that keep the free-will debate mired in pseudo-stalemates). I also suggest a new framework for anyone looking for relief from the confusion and deadlock created by quixotic attempts to redefine classical narratives and jargon so that they adequately describe the dialectical contours of the contemporary free-will debate. In addition, this new framework allows philosophers to start cross-pollinating work on free will and other problems, e.g. the paradox of moral luck. -/- A selection from the publication is available to download here. For full version, please gmail me, username: kristin.mickelson.42 -/- . (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

It has been a common assumption that words are substances that instantiate or have properties. In this paper, I question the assumption that our ontology of words requires posting substances by outlining a bundle theory of words, wherein words are bundles of various sorts of properties (such as semantic, phonetic, orthographic, and grammatical properties). I argue that this view can better account for certain phenomena than substance theories, is ontologically more parsimonious, and coheres with claims in linguistics.

I argue for three conclusions. First, responsibility skeptics are committed to the position that the criminal justice system should adopt a universal nonresponsibility excuse. Second, a universal nonresponsibility excuse would diminish some of our most deeply held values, further dehumanize criminals, exacerbate mass incarceration, and cause an even greater number of innocent people (nonwrongdoers) to be punished. Third, while Saul Smilansky's ‘illusionist’ response to responsibility skeptics – that even if responsibility skepticism is correct, society should maintain a responsibility‐realist/retributivist criminal justice (...) system – is generally compelling, it would not work if a majority of society were to convert, theoretically and psychologically, to responsibility skepticism. In this (highly improbable) scenario, and only in this (highly improbable) scenario, the criminal justice system would need to be reformed in such a way that it aligned with the majority's responsibility‐skeptical beliefs and attitudes. (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

Waiting time is widely used in health and social policy to make resource allocation decisions, yet no general account of the moral significance of waiting time exists. We provide such an account. We argue that waiting time is not intrinsically morally significant, and that the first person in a queue for a resource does not ipso facto have a right to receive that resource first. However, waiting time can and sometimes should play a role in justifying allocation decisions. First, there (...) is a duty of fairness prohibiting line-cutting where a sufficiently just queue exists. Second, waiting time has several morally attractive features that can justify its incorporation into allocation schemes. Where candidates are in relevantly similar circumstances, allocating by waiting time is relatively efficient, maximizes distribution equality relative to other Pareto efficient distributions, and treats candidates fairly. The claim that allocation using waiting time is fair is controversial. Some have claimed that formal lotteries are a fairer way to select among equal beneficiaries. We argue that lotteries are no fairer than allocation based on waiting time when it is equiprobable how a prospective queue will be ordered. In practice, lotteries share many of the disadvantages of queues; which is fairer will depend on contingent features of the allocation scenario. The upshot is that first-come, first-served is in fact a just way to allocate resources in many of the cases where it seems pre-theoretically compelling, and waiting time has unique normative properties which frequently justify its incorporation into resource allocation schemes. (shrink)

In this paper I argue that there would be no obligatory maxims if the only standards for assessing maxims were Kant’s universalizability tests. The paper is divided into five sections. In the first, I clarify my thesis: I define my terms and disambiguate my thesis from other related theses for which one might argue. In the second, I confront the view that says that if a maxim passes the universalizability tests, then there is a positive duty to adopt that maxim; (...) I also confront a close relative of this view. In the third, I confront the view that says that if a maxim does not pass the universalizability tests, then there is a positive duty to adopt the contradictory of that maxim. In the fourth, I confront two variations of the view that says that if a maxim does not pass the universalizability tests and an agent is deliberating about the action in the maxim, then the agent has a positive duty to adopt the contrary of that maxim. In the fifth, I confront the view that says that if an agent has adopted a maxim of ends, then the agent has a positive duty to universalize that end. I then wrap up the paper with some concluding remarks. (shrink)

*As mentioned in Peter Coy's NYT essay "When Being Good Is Just a Matter of Being Lucky" (2023) -/- ----- -/- How is the problem of free will related to the problem of moral luck? In this essay, I answer that question and outline a new solution to the paradox of moral luck, the source-paradox solution. This solution both explains why the paradox arises and why moral luck does not exist. To make my case, I highlight a few key connections (...) between the paradox of moral luck and two related problems, namely the problem of free will and determinism and the paradox of self-creation. Piecing together intuitions, arguments, and insights from recent work on each of these three problems, I argue that the type of control necessary for moral responsibility can only be had by someone who is a genuine source of his own actions, but the relevant notion of sourcehood admits no coherent characterization. If our commonsense view of moral responsibility is incoherent, it is unsurprising that our commitment to the existence of morally responsible agents commits us to some paradoxical things—e.g. to both the existence and impossibility of moral luck. For more information about this article, please write to gmail account: kristin.mickelson.42. (shrink)

I argue that an individual has aspects numerically identical with it and each other that nonetheless qualitatively differ from it and each other. This discernibility of identicals does not violate Leibniz's Law, however, which concerns only individuals and is silent about their aspects. They are not in its domain of quantification. To argue that there are aspects I will appeal to the internal conflicts of conscious beings. I do not mean to imply that aspects are confined to such cases, but (...) the best way to start is to recognize them experientially. We can feel the conflicts within ourselves. In doing so we can feel some of our aspects. I will try to enhance our understanding of the concept of aspect by listing and formalizing some principles for its use. After that I will argue that all sorts of individual things have aspects, not just people who are conflicted. (shrink)

We need modal imagination in order to extend our conception of reality - and, in particular, of human beings - beyond our immediate experience in the indexical present; and we need to do this in order to preserve the significance of human interaction. To make this leap of imagination successfully is to achieve not only insight but also an impartial perspective on our own and others' inner states. This perspective is a necessary condition of experiencing compassion for others. This is (...) the primary thesis I will try to defend in this discussion. (shrink)

While there seems to be much evidence that perceptual states can occur without being conscious, some theorists recently express scepticism about unconscious perception. We explore here two kinds of such scepticism: Megan Peters and Hakwan Lau's experimental work regarding the well-known problem of the criterion -- which seems to show that many purported instances of unconscious perception go unreported but are weakly conscious -- and Ian Phillips' theoretical consideration, which he calls the 'problem of attribution' -- the worry that many (...) purported examples of unconscious perception are not perceptual, but rather merely informational and subpersonal. We argue that these concerns do not undermine the evidence for unconscious perception and that this sceptical approach results in a dilemma for the sceptic, who must either deny that there is unconscious mentality generally or explain why perceptual states are unique in the mind such that they cannot occur unconsciously. Both options, we argue, are problematic. (shrink)

A commonly raised criticism against celebrity culture is that it celebrates people who become famous without any connection to their skills, talents or achievements. A culture in which people become famous simply for being famous is criticized for being shallow and inauthentic. In this paper we offer a defence of celebrity by arguing against this criticism. We begin by outlining what we call the Talent Argument: celebrity is a negative cultural phenomenon because it creates and sustains fame without any connection (...) to the accomplishments that arise from an expression of talent or skill. By appealing to the metaphysics of talent and skill, we argue against the Talent Argument and propose that being a celebrity requires the skills that are necessary to acquire and maintain one’s status as a celebrity. A celebrity is more likely to be talented and successful in their expression of these skills, and even celebrities who are ‘famous for being famous’ will often display talents and skills that give rise to their fame. This means that those who critique celebrity culture should not do so by appealing to the Talent Argument. We show how our account of celebrity, talent and skill works to reject both the strong version of the Talent Argument, as well as a weaker and more plausible version of the argument we call the Valuable Talents argument. We conclude by noting that our analysis has demonstrated the need to explore more closely the kinds of skills that are necessary to cultivate celebrity status. This allows for a more nuanced understanding of what a celebrity is, and the values that are attached to celebrity culture. (shrink)

Conceptions of acceptability-based moral or political justification take it that authoritative acceptability constitutes, or contributes to, validity, or justification. There is no agreement as to what bar for authoritativeness such justification may employ. The paper engages the issue in relation to (i) the level of idealization that a bar for authoritativeness, ψ, imparts to a standard of acceptability-based justification, S, and (ii) the degree of discursive purchase of the discursive standing that S accords to people when it builds ψ. I (...) argue that (i) and (ii) are interdependent: high idealization values entail low discursive purchase, while high degrees of purchase require low idealization values. I then distinguish between alethic conceptions of justification that prioritize ends that commit to high idealization values, and recognitive conceptions that favour high discursive purchase. On this basis, I argue for a moderately recognitivist constraint on idealization. To render the recognitive discursive minimum available to relevant people at the site of justification, S should set ψ low enough so that it is a genuine option for actual people to reject relevant views in ways that S recognizes as authoritative. (shrink)

Drawing on the work of Charles W. Mills and considering the case of reparations to Black Americans, this article defends the “structural turn” in the philosophical reparations scholarship. In the Black American context, the structural turn highlights the structural and institutional operations of a White supremacist political system and a long chronology of state-sponsored injustice, as opposed to enslavement as a standalone historical episode. Here, the question whether distributive justice is more appropriate than reparative justice is particularly pressing, since structural (...) racial inequalities form part of the basis for reparations. Derrick Darby’s pragmatic argument for non-race-specific redistributive policies and Tommie Shelby’s principled defense of distributive justice are both considered, as well as the challenge to the structural turn that comes from Carlton Waterhouse’s argument for reparations for enslavement rather than “legacy of slavery” reparations. (shrink)

3rd ed, 2021. A circumscription of the classical theory of computation building up from the Chomsky hierarchy. With the usual topics in formal language and automata theory.

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

Genera, typically hand-in-hand with their branching species, are essential elements of vocabulary-based information constructs, in particular scientific taxonomies. Should they also feature in formal ontologies, the highest of such constructs? I argue in this article that the answer is “Yes” and that the question posed in its title also has a Yes-answer: The way medieval ontologists sliced up the world into genera does matter to formal ontology. More specifically, the way Dietrich of Freiberg, a Latin scholastic, conceived and applied strictly (...) generic criteria to slice up the world into its entities can provide some guidelines to the field of formal ontology with respect to not only its contents, but also its scope. In particular, Dietrich's information criterion plays here a central role. (shrink)

Binding specificity is a centrally important concept in molecular biology, yet it has received little philosophical attention. Here I aim to remedy this by analyzing binding specificity as a causal property. I focus on the concept’s role in drug design, where it is highly prized and hence directly studied. From a causal perspective, understanding why binding specificity is a valuable property of drugs contributes to an understanding of causal selection—of how and why scientists distinguish between causes, not just causes from (...) noncauses. In particular, the specificity of drugs is precisely what underwrites their value as experimental interventions on biological processes. (shrink)

In this paper I defend the traditional interpretations of Kant’s Formula of a Law of Nature from recent attacks leveled by Faviola Rivera-Castro, James Furner, Ido Geiger, Pauline Kleingeld and Sven Nyholm. After a short introduction, the paper is divided into four main sections. In the first, I set out the basics of the three traditional interpretations, the Logical Contradiction Interpretation, the Practical Contradiction Interpretation and the Teleological Contradiction Interpretation. In the second, I examine the work of Geiger, Kleingeld and (...) Nyholm: these three commentators reject the traditional interpretations entirely, but I argue that this rejection is ill-founded. In the third and fourth, I take a detailed look at Furner’s work, work in which he seeks to revise (rather than reject) the traditional interpretations. I argue that, despite his more modest aims, Furner’s revision is also ill-founded. (shrink)

This paper considers the prospect of moral transhumanism from the perspective of theological virtue ethics. I argue that the pursuit of goodness inherent to moral transhumanism means that there is a compelling prima facie case for moral enhancement. However, I also show that the proposed enhancements would not by themselves allow us to achieve a life of virtue, as they appear unable to create or enhance prudence, the situational judgement essential for acting in accordance with virtue. I therefore argue that (...) moral enhancement technologies should take a limited or supporting role in moral development, which I call ‘moral supplementation’. (shrink)

The gulf between philosophical and formal ontology can and should be bridged. In this Editorial, I elaborate briefly on this subject.

Aristotle argued that you need some wealth to live well. The Stoics argued that you could live well with or without wealth. But the Cynics argued that wealth is a hinderance. For the Cynics, a good life consists in self-sufficiency, or being able to rule and help yourself. You accomplish this by living simply and naturally, and by subjecting yourself to rigorous philosophical exercises. Cynics confronted people to get them to abandon extraneous possessions and positions of power to live better. (...) And while the Cynics were experts in living in this way, their ascetic lifestyles made their message curious to some audiences. This paper reflects on Cynic ascetic practices and the ways others perceived them. (shrink)

Most moral theories share certain features in common with other theories. They consist of a set of propositions that are universal, general, and hence impartial. The propositions that constitute a typical moral theory are (1) universal, in that they apply to all subjects designated as within their scope. They are (2) general, in that they include no proper names or definite descriptions. They are therefore (3) impartial, in that they accord no special privilege to any particular agent's situation which cannot (...) be justified under (2) and (3). These three features do not distinguish moral theories from other theories, nor indeed from most general categorical propositions we assert. Yet, in recent years, these features of moral theories have been the target of a certain concerted and sustained criticism, namely, that to be committed to such a moral theory, or to aspire to act in accordance with its requirements, results in what has come to be known as moral alienation. Moral alienation, according to this criticism, consists in (i) viewing one's ground projects from an impersonal, "moral point of view" engendered by one's acceptance of the theory; (ii) being prepared to sacrifice these projects to the requirements of moral principle; and (iii) making such a sacrifice specifically and self-consciously in order to conform to these requirements. Moral alienation is said to manifest itself in one (or both) of two ways, depending on the nature of the project thus susceptible to sacrifice. One may be alienated from oneself, if the project consists of tastes, convictions, or aspirations that are centrally definitive of one's self. In this case one's commitment to the project can be at best conditional on its congruence with one's moral theory. It is claimed that this must make for a rather tepid and unenthusiastic commitment indeed. Alternatively, one may be alienated from others, if the project is an interpersonal relationship such as a friendship, marriage, or collegial relationship. In this case one's responses to the other are motivated by one's awareness of what one's moral theory requires. It is claimed that this obstructs a genuine and unmediated emotional response to the other as such. My aim here will be to argue that this very compelling criticism - call it the moral-alienation criticism - is nevertheless misdirected. The real culprit is not any particular moral theory, but rather a certain familiar personality type that may or may not adopt it. (shrink)

Issues on plagiarism among pre-service teachers (PSTs) have increased in modular and online learning. To confirm this, the study determined the PSTs’ level of awareness on plagiarism; their knowledge on referencing and citation; and the correlation between their level of awareness on plagiarism and knowledge on referencing and citation, with their academic performance. The study employed a descriptive-correlational research design participated by 235 PSTs randomly sampled through strata. The data were gathered through a web-based survey. Results showed that the PSTs’ (...) level of awareness of plagiarism was moderate, while the majority have fair knowledge in referencing and citation. Also, results showed a significant relationship among the level of awareness on plagiarism, knowledge on referencing and citation, and academic performance. It is recommended that institutions equip librarians and educators to teach PSTs about citation and referencing skills. Besides, the institution should make sure that a policy is implemented to pursue academic integrity. This policy must articulate the various types of plagiarism, plagiarism measurement, and fair and consistent disciplinary actions. (shrink)

In this article I offer an interpretation of the fundamental problem of phenomenology in terms of a philosophy of revelation proposing in this way the renewal of the last important development of Western philosophy both in terms of its metaphysical aspiration and scientific relevance. After the general introduction, I outline the philosophical problem of revelation. I show how this philosophy influenced early phenomenology. I explain the underlying subject matter in the history of phenomenology, i.e. the notion of disclosure. I also (...) outline what I term “apocalyptic phenomenology” in order to focus on the understanding of revelation. In this part I offer details of the notion of newness and the appropriate method applied here. Finally, I summarize the scientific relevance of my approach in the context of logic, methodology, disciplinarity with a special emphasis on the study of religion. (shrink)

It seems natural to ask why the universe exists at all. Modern physics suggests that the universe can exist all by itself as a self-contained system, without anything external to create or sustain it. But there might not be an absolute answer to why it exists. I argue that any attempt to account for the existence of something rather than nothing must ultimately bottom out in a set of brute facts; the universe simply is, without ultimate cause or explanation.

This paper argues for a conception of the natural rights of non-human animals grounded in Kant’s explanation of the foundation of human rights. The rights in question are rights that are in the first instance held against humanity collectively speaking—against our species conceived as an organized body capable of collective action. The argument proceeds by first developing a similar case for the right of every human individual who is in need of aid to get it, and then showing why the (...) situation of animals is similar. I first review some of the reasons why people are resistant to the idea that animals might have rights. I then explain Kant’s conception of natural rights. I challenge the idea that duties of aid and duties of kindness to animals fit the traditional category of “imperfect duties” and argue that they are instead cases of “imperfect right.” I explain how you can hold a right against a group, and why it is legitimate to conceive of humanity as such a group. I then argue that Kant’s account of the foundation of property rights is grounded in a conception of the common possession of the Earth that grounds a right to aid and the rights of animals to be treated in ways that are consistent with their good. Finally, I return to the objections to the idea that animals have rights and offer some responses to them. (shrink)

This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The main (...) claim is that economists who ignore or downplay catastrophic risks in their representations of uncertainty likely fall afoul of ethical constraints on scientists acting as policy advisors. Such scientists have duties to honestly articulate uncertainties and manage (some) inductive risks, or the risks of being wrong in different ways. (shrink)