The question of whether conscious experience is restricted by cognitive access and exhausted by report, or whether it overflows it—comprising more information than can be reported—is hotly debated. Recently, we provided evidence in favor of Overflow, showing that observers discriminated the color‐diversity (CD) of letters in an array, while their working‐memory and attention were dedicated to encoding and reporting a set of cued letters. An alternative interpretation is that CD‐discriminations do not entail conscious experience of the underlying colors. Here we (...) argue, based on conceptual considerations and consistency with neuroscience and phenomenology, in favor of the Overflow interpretation. (shrink)

We contrast two theoretical positions on the relation between phenomenal and access consciousness. First, we discuss previous data supporting a mild Overflow position, according to which transient visual awareness can overflow report. These data are open to two interpretations: (i) observers transiently experience specific visual elements outside attentional focus without encoding them into working memory; (ii) no specific visual elements but only statistical summaries are experienced in such conditions. We present new data showing that under data-limited conditions observers cannot discriminate (...) a simple relation (same versus different) without discriminating the elements themselves and, based on additional computational considerations, we argue that this supports the first interpretation: summary statistics (same/different) are grounded on the transient experience of elements. Second, we examine recent data from a variant of ‘inattention blindness’ and argue that contrary to widespread assumptions, it provides further support for Overflow by highlighting another factor, ‘task relevance’, which affects the ability to conceptualize and report (but not experience) visual element. (shrink)

Looking at the recent spate of claims about “fake news” which appear to be a new feature of political discourse, I argue that fake news presents an interesting problem in epistemology. Te phenomena of fake news trades upon tolerating a certain indiference towards truth, which is sometimes expressed insincerely by political actors. Tis indiference and insincerity, I argue, has been allowed to fourish due to the way in which we have set the terms of the “public” epistemology that maintains what (...) is considered “rational” public discourse. I argue one potential salve to the problem of fake news is to challenge this public epistemology by injecting a certain ethical consideration back into the discourse. (shrink)

An overview of the current epistemic literature concerning conspiracy theories, as well as indications for future research avenues on the topic.

In the middle of last century metaphysics was widely criticized, ridiculed, and committed to the flames. During this period a handful of philosophers, against several anti-metaphysical trends, defended metaphysics and articulated novel metaphysical doctrines. Donald C. Williams was one of these philosophers. But while his contributions to metaphysics are well known his defence of metaphysics is not and yet it played a key part in the development and revival of metaphysics. In this paper I present his defence of metaphysics in (...) its historical context. I also show how his defence is relevant in response to recent attacks on metaphysics. (shrink)

My argument in this paper is that humility is implied in the concept of teaching, if teaching is construed in a strong sense. Teaching in a strong sense is a view of teaching as linked to students’ embodied experiences (including cognitive and moral-social dimensions), in particular students’ experiences of limitation, whereas a weak sense of teaching refers to teaching as narrowly focused on student cognitive development. In addition to detailing the relation between humility and strong sense teaching, I will also (...) argue that humility is acquired through the practice of teaching. My discussion connects to the growing interest, especially in virtue epistemology discourse, in the idea that teachers should educate for virtues. Drawing upon John Dewey and contemporary virtue epistemology discourse, I discuss humility, paying particular attention to an overlooked aspect of humility that I refer to as the educative dimension of humility. I then connect this concept of humility to the notion of teaching in a strong sense. In the final section, I discuss how humility in teaching is learned in the practice of teaching by listening to students in particular ways. In addition, I make connections between my concept of teaching and the practice of cultivating students’ virtues. I conclude with a critique of common practices of evaluating good teaching, which I situate within the context of international educational policy on teacher evaluation. (shrink)

In the United States, prohibitionist policies are used as the primary approach to combat the negative effect of substance use on society. An extensive academic literature spanning the disciplines of economics, political science, and multiculturalism documents the great social costs of the United States’ “War on Drugs” both nationally and internationally. These costs come with at best marginal effect on substance abuse and other crimes linked to the drug trade. In many cases, there is a reason to believe that these (...) policies exacerbate the problems they aim to address. This article explores psychologists’ ethical commitments to social change concerning such drug policy, given the field of psychology’s expanding commitment to social justice. We examine arguments regarding the boundaries between psychologists’ personal and professional ethics with regard to political participation. Using drug prohibition as an exemplar, we suggest that many psychologists’ political actions and professional ethics may be misaligned. Ultimately, we conclude that the endorsement of prohibitionist drug policies is in direct conflict with the guiding ethical principles put forth by the American Psychological Association’s Ethical Principles of Psychologists and Code of Conduct. (shrink)

Significant associations have been found between specific human leukocyte antigen (HLA) alleles and organ transplant rejection, autoimmune disease development, and the response to infection. Traditional searches for disease associations have conventionally measured risk associated with the presence of individual HLA alleles. However, given the high level of HLA polymorphism, the pattern of amino acid variability, and the fact that most of the HLA variation occurs at functionally important sites, it may be that a combination of variable amino acid sites shared (...) by several alleles (shared epitopes) are better descriptors of the actual causative genetic variants. Here we describe a novel approach to genetic association analysis in which genes/proteins are broken down into smaller sequence features and then variant types defined for each feature, allowing for independent analysis of disease association with each sequence feature variant type. We have used this approach to analyze a cohort of systemic sclerosis patients and show that a sequence feature composed of specific amino acid residues in peptide binding pockets 4 and 7 of HLA-DRB1 explains much of the molecular determinant of risk for systemic sclerosis. (shrink)

Statistics play a critical role in biological and clinical research. To promote logically consistent representation and classification of statistical entities, we have developed the Ontology of Biological and Clinical Statistics (OBCS). OBCS extends the Ontology of Biomedical Investigations (OBI), an OBO Foundry ontology supported by some 20 communities. Currently, OBCS contains 686 terms, including 381 classes imported from OBI and 147 classes specific to OBCS. The goal of this paper is to present OBCS for community critique and to describe a (...) number of use cases designed to illustrate its potential applications. The OBCS project and source code are available at http://obcs.googlecode.com. (shrink)

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: -/- The main aim of this review will be to assess the effects of changing practitioner empathy or patient expectations for all conditions. The main objective is to conduct a systematic review of randomised trials where the intervention involves manipulating either (a) practitioner empathy or (b) patient expectations, or (c) both.

In this paper I argue for a theory of punishment I call Multilateral Retributivism. Typically retributive notions of justice are unilateral: focused on one person’s desert. I argue that our notions of desert are multilateral: multiple people are owed when a moral crime is committed. I argue that the purpose of punishment is communication with the end-goal of reconciling the offender to society. This leads me to conclude that the death penalty and life without parole are unjustified because they necessarily (...) cut communication short. (shrink)

A longish (12 page) discussion of Richard Sorabji's excellent book, with a further discussion of what it means for a theory of emotions to be a cognitive theory.

The goal of Transhumanism is to change the human condition through radical enhancement of its positive traits and through AI (Artificial Intelligence). Among these traits the transhumanists highlight creativity. Here we first describe human creativity at more fundamental levels than those related to the arts and sciences when, for example, childhood is taken into account. We then admit that creativity is experienced on both its bright and dark sides. In a second moment we describe attempts to improve creativity both at (...) the bodily level and in the emulation of human behavior in AI. These developments are presented both as effective results in laboratories and as transhumanist proposals emerging from them. Third, we have introduced the work of some theologians and ethicists, who study such proposals through the lens of the "created co-creator" metaphor. Finally, we analyze these developments through a reflection on the nature of creativity. We identify three problems in the current ideas about enhancement: first, they are bound to Western standards of creativity; second, the tempo and mode of evolution (involving an extended childhood) are not taken into account; third, the enhancement of creativity develops both its healthy and the perverse side. Proponents of the created co-creator metaphor also have difficulties with the problems pointed out. Concerning AI, there is a promising perspective of approaching human creativity, but there are some intrinsic limits: Human emotions are ambiguous, contradictory and far from rational control; human creativity is iconoclastic, thus highlighting the importance of youth and new generations; we do not expect from AI beings to present the perverse side of creativity. Our conclusions are: First, procreation and the new generations are essential to human creativity; in the same way, the wheat does not grow without the chaff; and finally, that birth breaks with causal connections and allows us to act forgiving--at birth, God's creative act is re-enacted. (shrink)

According to the thesis of transparency, subjects can attend only to the representational content of perceptual experience, never to the intrinsic properties of experience that carry this representational content, i.e., to “mental paint.” So far, arguments for and against transparency were conducted from the armchair, relying mainly on introspective observations. In this paper, we argue in favor of transparency, relying on the cognitive neuroscience of attention. We present a trilemma to those who hold that attention can be directed to mental (...) paint. Such attention is either first-order sensory, higher-order cognitive, or higher-order sensory attention. We argue that the notion of first-order sensory attention to mental paint is incompatible with the neuroscience of sensory attention; that higher-order cognitive attention to mental paint is irrelevant to transparency; and that the notion of higher-order sensory attention to mental paint has an apparently incoherent prediction. Via elimination, these considerations support the thesis of transparency. (shrink)

Розкрито сутність поняття «рейтинг». Доведено значущість рейтингової оцінки для суб’єктів фінансового ринку, зокрема для страхових компаній, потенційних страхувальників, інвесторів та кредиторів.

Practical reason is the general human capacity for resolving, through reflection, the question of what one is to do. Deliberation of this kind is practical in at least two senses. First, it is practical in its subject matter, insofar as it is concerned with action. But it is also practical in its consequences or its issue, insofar as reflection about action itself directly moves people to act. Our capacity for deliberative self-determination raises two sets of philosophical problems. For one thing, (...) there are questions about how deliberation can succeed in being practical in its issue. What do we need to assume—both about agents and about the processes of reasoning they engage in—to make sense of the fact that deliberative reflection can directly give rise to action? Can we do justice to this dimension of practical reason while preserving the idea that practical deliberation is genuinely a form of reasoning? For another, there are large issues concerning the content of the standards that are brought to bear in practical reasoning. Which norms for the assessment of action are binding on us as deliberating agents? Do these norms provide resources for critical reflection about our ends, or are they exclusively instrumental? Under what conditions do moral norms yield valid standards for reasoning about action? The first set of issues is addressed in sections §§1–3 of the present article, while sections §§4–6 cover the second set of issues. (shrink)

We show that five important elements of the ‘nomological package’— laws, counterfactuals, chances, dispositions, and counterfactuals—needn’t be a problem for the Growing-Block view. We begin with the framework given in Briggs and Forbes (in The real truth about the unreal future. Oxford studies in metaphysics. Oxford University Press, Oxford, 2012 ), and, taking laws as primitive, we show that the Growing-Block view has the resources to provide an account of possibility, and a natural semantics for non-backtracking causal counterfactuals. We show (...) how objective chances might ground a more fine-grained concept of feasibility, and furnished a places in the structure where causation and dispositions might fit. The Growing-Block view, thus understood, provides the resources to explain the close link between modality and tense, so that it predicts modal change as time passes. This account lets us capture not only what the future might hold for us, and also what might have been. (shrink)

When loyalty is discussed, a very rare thing in recent years, it is sometimes listed as one of the virtues and just as often derided. Its relationship to the virtues, or to the other virtues, is difficult to discern, and that is at least partly because the role that judgement plays in loyalty seems odd. The argument of this paper is that there is a core value to loyalty, and that understanding this core value is of critical importance in understanding (...) the virtues despite the fact that loyalty is not itself one of them. I shall suggest at the end of the paper that it is the raw material of the virtues and of at least some vices. (shrink)

The thesis of this article is that there has never been any ground for the controversy between the doctrine of free will and determinism, that it is based upon a misapprehension, that the two assertions are entirely consistent, that one of them strictly implies the other, that they have been opposed only because of our natural want of the analytical imagination. In so saying I do not tamper with the meaning of either phrase. That would be unpardonable. I mean free (...) will in the natural and usual sense, in the fullest, the most absolute sense in which for the purposes of the personal and moral life the term is ever employed. I mean it as implying responsibility, merit and demerit, guilt and desert. I mean it as implying, after an act has been performed, that one " could have done otherwise " than one did. I mean it as conveying these things also, not in any subtly modified sense but in exactly the sense in which we conceive them in life and in law and in ethics. These two doctrines have been opposed because we have not realised that free will can be analysed without being destroyed, and that determinism is merely a feature of the analysis of it. And if we are tempted to take refuge in the thought of an "ultimate ", an "innermost" liberty that eludes the analysis, then we have implied a deterministic basis and constitution for this liberty as well. For such a basis and constitution lie in the idea of liberty. -/- The thesis is not, like that of Green or Bradley, that the contending opinions are reconciled if we adopt a certain metaphysic of the ego, as that it is timeless, and identifies itself with a desire by a " timeless act". This is to say that the two are irreconcilable, as they are popularly supposed to be, except by a theory that delivers us from the conflict by taking us out of time. Our view on the contrary is that from the natural and temporal point of view itself there never was any need of a reconciliation but only of a comprehension of the meaning of terms. (The metaphysical nature of the self and its identity through time is a problem for all who confront memory, anticipation, etc.; it has no peculiar difficulties arising from the present problem.) -/- I am not maintaining that determinism is true; only that it is true insofar as we have free will. That we are free in willing is, broadly speaking, a fact of experience. That broad fact is more assured than any philosophical analysis. It is therefore surer than the deterministic analysis of it, entirely adequate as that in the end appears to be. But it is not here affirmed that there are no small exceptions, no slight undetermined swervings, no ingredient of absolute chance. All that is here said is that such absence of determination, if and so far as it exists, is no gain to freedom, but sheer loss of it; no advantage to the moral life, but blank subtraction from it. -- When I speak below of "the indeterminist" I mean the libertarian indeterminist, that is, him who believes in free will and holds that it involves indetermination. (shrink)

l. There is an antinomy in Hare's thought between Ought-Implies-Can and No-Indicatives-from-Imperatives. It cannot be resolved by drawing a distinction between implication and entailment. 2. Luther resolved this antinomy in the l6th century, but to understand his solution, we need to understand his problem. He thought the necessity of Divine foreknowledge removed contingency from human acts, thus making it impossible for sinners to do otherwise than sin. 3. Erasmus objected (on behalf of Free Will) that this violates Ought-Implies-Can which he (...) supported with Hare-style ordinary language arguments. 4. Luther a) pointed out the antinomy and b) resolved it by undermining the prescriptivist arguments for Ought-Implies-Can. 5. We can reinforce Luther's argument with an example due to David Lewis. 6. Whatever its merits as a moral principle, Ought-Implies-Can is not a logical truth and should not be included in deontic logics. Most deontic logics, and maybe the discipline itself, should therefore be abandoned. 7. Could it be that Ought-Conversationally-Implies-Can? Yes - in some contexts. But a) even if these contexts are central to the evolution of Ought, the implication is not built into the semantics of the word; b) nor is the parallel implication built into the semantics of orders; and c) in some cases Ought conversationally implies Can, only because Ought-Implies-Can is a background moral belief. d) Points a) and b) suggest a criticism of prescriptivism - that Oughts do not entail imperatives but that the relation is one of conversational implicature. 8. If Ought-Implies-Can is treated as a moral principle, Erasmus' argument for Free Will can be revived (given his Christian assumptions). But it does not 'prove' Pelagianism as Luther supposed. A semi-Pelagian alternative is available. (shrink)

Hermann von Helmholtz’s work on perceptual science had a fundamental impact on Neo-Kantian movements in the late nineteenth century, and his influence continues to be felt in psychology and analytic philosophy of perception. As is widely acknowledged, Helmholtz denied that we can perceive mind-independent properties of external objects, a view I label Ignorance. Given his commitment to Ignorance, Helmholtz might seem to be committed to a subjectivism according to which we only perceive properties of our own representations. Against this, I (...) argue that for Helmholtz, the properties we perceive are not monadic properties of either the subject or the object. Rather, Helmholtz endorsed a relationalism about the properties we perceive: the properties of objects we perceive are all relational properties. I then suggest that once we take into account oft-neglected terminological distinctions in Helmholtz’s corpus, we are better able to make sense of his commitment to relationalism. (shrink)

In the early part of the paper, I attempt to explain a dispute between two parties who endorse the compositionality of language but disagree about its implications: Paul Horwich, and Jerry Fodor and Ernest Lepore. In the remainder of the paper, I challenge the thesis on which they are agreed, that compositionality can be taken for granted. I suggest that it is not clear what compositionality involves nor whether it obtains. I consider some kinds of apparent counterexamples, and compositionalist responses (...) to them in terms of covert indexicality and unspecific meanings. I argue that the last option is the best for most of the cases I consider. I conclude by stressing, as against Horwich and Fodor and Lepore, that the appropriate question concerns the extent to which compositionality obtains in a natural language, rather than whether it obtains or not, so that the answer is essentially messy, requiring detailed consideration of a wide range of examples. (shrink)

Near the end of December 2019, the globe was hit with a major crisis, which is nothing but the coronavirusbased pandemic. The authorities at the train station should also keep in mind the need to limit the spread of the covid virus in the event of a global pandemic. When it comes to controlling the COVID-19 epidemic, public transportation facilities like train stations play a pivotal role because of the proximity of so many people who may be exposed to the (...) virus. Using common place CCTV cameras and deep learning with simple online and real-time (DeepSORT) methods, this study develops social distance monitoring using a YOLOv4 identification of a Surveillance Object Model. Based on experiments conducted with a minicomputer equipped with an Intel 11th Gen Intel(R) Core(TM) i3-1115G4 at 3.00GHz, 2995 Mhz, two Core(s), four Logical processor, four gigabytes of random-access memory (RAM), this paper makes use of CCTV surveillance, which was put into practice at the Guindy railway station, Chennai, Tamilnadu in India in order to detect the violation of social distancing. (shrink)

In the present essay, imagination and its effects on the foundations of human life and thought, particularly those pertaining to desire and motivation, are investigated. It is then argued that the human as we know it cannot exist without imagination, and as such, it is an integral part of the self.

The coronavirus disease has spread throughout the world and its fear has made people to be more cautious in public places. Since precautionary measures are the only reliable protocol to defend ourselves, social distancing is the only best approach to defend against the pandemic situation. The reproduction number i.e. R0 factor of COVID-19, can be slowed down only through the physical distancing norms. This research proposes a deep learning approach for maintaining the social distance by tracking and detecting the people (...) present indoor and outdoor scenarios. Surveillance video is taken as the input and applied into you only look once (YOLO) V3 algorithm. The persons in the video are identified based on the segmentation algorithm present within the framework and then using Euclidean distance the image is evaluated. The bounding box algorithm helps to segregate the humans based on the minimum distance threshold. The proposed method is evaluated for images with peoples in the market, availing essential commodities and students entry inside a campus. Our proposed region-based convolutional neural network (RCNN) algorithm gives a better accuracy over the traditional models and hence the service can be implemented in general for places where social distancing is mandatory. (shrink)

The exploration of the mind is a fundamental pursuit spanning philosophy and psychology, with implications reaching into diverse practical realms. This paper delves into the intricacies of mental states, examining historical perspectives from ancient philosophers to modern theorists. Philosophical inquiries into intentionality, consciousness, and the nature of mental phenomena are scrutinized, alongside empirical investigations by psychologists. The discourse navigates through contrasting theories such as dualism, materialism, and functionalism, shedding light on the challenges of reconciling subjective experiences with objective observations. The (...) problem of other minds and the tension between internalism and externalism are dissected, revealing the complex interplay between individual cognition and external influences. Ultimately, this analysis underscores the intricate nature of philosophical inquiries into consciousness and the mind. (shrink)

This reply to an ongoing debate between conspiracy theory researchers from different disciplines exposes the conceptual confusions that underlie some of the disagreements in conspiracy theory research. Reconciling these conceptual confusions is important because conspiracy theories are a multidisciplinary topic and a profound understanding of them requires integrative insights from different fields. Specifically, we distinguish research focussing on conspiracy *theories* (and theorizing) from research of conspiracy *belief* (and mindset, theorists) and explain how particularism with regards to conspiracy theories does not (...) mean we cannot define a problematic subclass of conspiracy beliefs, while avoiding the problems of generalism. We hope this reply helps conspiracy theory researchers recognize the differences between studying conspiracy theories and conspiracy beliefs and appreciate the possibilities for fruitful, integrative, and interdisciplinary research. (shrink)

Since the advent of computers, humans have pursued automata with superior information-processing capabilities. In the endeavor to create new entities that converge toward intellectual functions, the emergence of large language models (LLMs) that emulate AI surpassing ourselves has become a reality. With the intelligence explosion triggered by AI and the consequent emergence of superintelligence, the improvement of simulation capabilities accelerates. As this surpasses humans’ discriminative perceptual abilities between reality and unreality, a paradox arises wherein, from a modern scientific standpoint, science (...) becomes unscientific. It is thought that as our controllability over the reality we perceive is ultimately enhanced by superintelligence, even whether we ourselves exist, what happiness is, what ethics are, and whether concepts themselves ever existed become matters of uncertainty. -/- Note: In the creation of this paper, we have undertaken all writing ourselves and have not used generative AI for text generation except for translation purposes. (shrink)

In this study, we metaphysically discuss how societal values will change and what will happen to the world when superintelligence is safely realized. By providing a mathematical definition of superintelligence, we examine the phenomena derived from this thesis. If an intelligence explosion is triggered under safe management through advanced AI technologies such as large language models (LLMs), it is thought that a modern form of broken communism—where rights are bifurcated from the capitalist system—will first emerge. In that era, the value (...) of humans will ultimately eliminate external factors, and beings without superintelligence will converge into irreplaceable existences possessing only intrinsic value. The world will be divided into those who possess superintelligence and those who do not. For better or worse, global standardization will progress, and due to over-simulation accompanying the intelligence explosion, we may become unable to distinguish whether the reality we inhabit is original or a copy created through augmented reality. -/- Note: In the creation of this paper, we have undertaken all writing ourselves and have not used generative AI for text generation except for translation purposes. (shrink)

Political liberals ask citizens not to appeal to certain considerations, including religious and philosophical convictions, in political deliberation. We argue that political liberals must include a demanding requirement of intellectual modesty in their ideal of citizenship in order to motivate this deliberative restraint. The requirement calls on each citizen to believe that the best reasoners disagree about the considerations that she is barred from appealing to. Along the way, we clarify how requirements of intellectual modesty relate to moral reasons for (...) deliberative restraint. And we argue against attempts to weaken our requirement of intellectual modesty by emphasizing those moral reasons. (shrink)

The COVID-19 outbreak has had a significant influence on the health of people all across the world, and preventing its further spread requires an early and correct diagnosis. Imaging using X-rays is often used to identify respiratory disorders like COVID-19, and approaches based on machine learning may be used to automate the diagnostic process. In this research, we present a deep learning approach for COVID-19 identification in X-ray pictures utilizing global thresholding. Our framework consists of two main components: (1) global (...) thresholding to preprocess X-ray images and extract features, and (2) a Convolutional Neural Network (CNN) for classifying the images as positive (indicating COVID-19) or negative (indicating no COVID-19). Global thresholding is used to convert X-ray images into binary images, which can highlight the features of interest, such as lung opacity. The Network is instructed to use a dataset consisting of X-ray pictures that have been labeled with the COVID-19 status of each image. The usefulness of our approach was shown by experimental findings obtained using a dataset of X-ray pictures that were made accessible to the public. We achieve high accuracy in COVID-19 detection, outperforming traditional machine learning techniques. Our framework is also able to correctly identify COVID-19 in images that were misclassified by human experts. (shrink)

This essay explores the inherent blankness of life, describing it as devoid of fixed meaning, purpose, or morality. It discusses how humans struggle with this blankness, often attempting to avoid or fill it through various activities and pursuits. The essay distinguishes between natural biological activities and those driven by fear and anxiety, emphasizing how societal conditioning contributes to the latter. It delves into the role of rationality in avoiding blankness, the discomfort of silence, and the vibrancy that this blankness holds. (...) Ultimately, it advocates for embracing this blankness as a source of freedom, vitality, and profound insight into the nature of existence. (shrink)

This essay challenges the notion of avoiding uncomfortable thoughts and emotions in mental health. It argues that accepting these experiences, as supported by therapies like Exposure and Response Prevention for Pure OCD, promotes greater wellbeing. By cultivating a compassionate relationship with inner experiences, individuals can foster resilience amidst challenges.

Coronavirus disease has a crisis with high spread throughout the world during the COVID19 pandemic period. This disease can be easily spread to a group of people and increase the spread. Since it is a worldly disease and not plenty of vaccines available, social distancing is the only best approach to defend against the pandemic situation. All the affected countries' governments declared locked-down to implement social distancing. This social separation and persons not being in a mass group can slow down (...) the spread of COVID19. It reduces the physical contact between infected persons and normal healthy persons. Almost every health organization tells that to follow social distancing people should maintain at least 6 feet of distance from each other. This research proposes a deep learning approach for social distancing which is developed for tracking and detecting people who are in indoor as well as outdoor scenarios using YOLO V3 video analytic technique. This approach focuses to inspect whether the people are maintaining social distancing in many areas, using surveillance video with measuring the distance in real-time performance. Most of the early studies of detecting social distance monitoring were based on GPS for tracking the movements of people where the signals could be lost. On the other hand, some countries use drones to detect large gatherings of people who cannot have a clear view at night times [10]. In the future, the proposed system can be used fully for detecting threats in the public crowded or it can detect any person affected by critical situations (ie fainting, Cordia arrest) or planting the crops in the forms evenly with a uniform measurement. This proposal could be used in many fields like crowd analysis, autonomous vehicles, and human action recognition and could help the government authorities to redesign the public place layout and take precautionary action in the risk zones. This system analyses the social distancing of people by calculating the distance between people to slow downing the spread of the COVID 19 virus. (shrink)

The role of intuition in Kant’s account of experience receives perennial philosophical attention. In this essay, I present the textual case that Kant also makes extensive reference to what he terms “images” that are generated by the imagination. Beyond this, as I argue, images are fundamentally distinct from empirical and pure intuitions. Images and empirical intuitions differ in how they relate to sensation, and all images (even “pure images”) actually depend on pure intuitions. Moreover, all images differ from intuitions in (...) their structure or format. I then turn to a question that naturally arises on the resulting view: if the imagination produces images, and if images are fundamentally distinct from intuitions, then how do intuitions relate to the imagination? I outline reasons for thinking that intuitions and their essential features do not depend on the imagination at all. Though this essay does not decisively argue for this thesis, the resulting view provides a clear account of the distinction between the senses and the imagination in Kant’s theory of sensibility. (shrink)

PHILOSOPHY OF SCIENCE, vol. 52, number 1, pp.44-63. R.M. Nugayev, Kazan State |University, USSR. -/- THE HISTORY OF QUANTUM THEORY AS A DECISIVE ARGUMENT FAVORING EINSTEIN OVER LJRENTZ. -/- Abstract. Einstein’s papers on relativity, quantum theory and statistical mechanics were all part of a single research programme ; the aim was to unify mechanics and electrodynamics. It was this broader program – which eventually split into relativistic physics and quantummmechanics – that superseded Lorentz’s theory. The argument of this paper is (...) partly historical and partly methodological. A notion of “crossbred objects” – theoretical objects with contradictory properties which are part of the domain of application of two different research programs – is developed that explains the dynamics of revolutionary theory change. (shrink)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

This paper sets mathematics among the sciences, despite not being empirical, because it studies relations of various sorts, like the sciences. Each empirical science studies the relations among objects, which relations determining which science. The mathematical science studies relations as such, regardless of what those relations may be or be among, how relations themselves are related. This places it at the extreme among the sciences with no objects of its own (A Subject with no Object, by J.P. Burgess and G. (...) Rosen). Examples are discussed. The historical development of written mathematics from algorithms on clay tablets to theorems with proofs is said to show that application of algorithms to specific problems and theorems to scientific objects is like allegorical interpretation. Mathematics fits into the modern scientific context because the sciences, beginning with Galileo, have been constructed in imitation of mathematics. Viewing mathematics this way does not solve any ontological problems, but it does show how mathematics avoids them. Epistemological problems, insuperable for object realism, are simplified. For example, we have access to relations among any objects that we can consider objectively, first physical objects and then mathematical objects of greater and greater abstraction. (shrink)

Stock market prediction is essential and of great interest because success- ful prediction of stock prices may promise smart bene ts. These tasks are highly complicated and very dicult. Many researchers have made valiant attempts in data mining to devise an ecient system for stock market movement analysis. In this paper, we have developed an ecient approach to stock market prediction by employing fuzzy C-means clustering and arti cial neural network. This research has been encouraged by the need of predicting (...) the stock market to facilitate the investors about buy and hold strategy and to make pro t. Firstly, the original stock market data are converted into interpreted historical ( nancial) data i.e. via technical indi-cators. Based on these technical indicators, datasets that are required for analysis are created. Subsequently, fuzzy-clustering technique is used to generate di erent training subsets. Subsequently, based on di erent training subsets, di erent ANN models are trained to formulate di erent base models. Finally, a meta-learner, fuzzy system module, is employed to predict the stock price. The results for the stock market prediction are validated through evaluation metrics, namely mean absolute deviation, mean square error, root mean square error, mean absolute percentage error used to estimate the forecasting accuracy in the stock market. Comparative analysis is carried out for single Neural Network (NN) and existing technique neu- ral. The obtained results show that the proposed approach produces better results than the other techniques in terms of accuracy. (shrink)

A common strategy unites much that philosophers have written about the virtues. The strategy can be traced back at least to Aristotle, who suggested that human beings have a characteristic function or activity, and that the virtues are traits of character which enable humans to perform this kind of activity excellently or well. The defining feature of this approach is that it treats the virtues as functional concepts, to be both identified and justified by reference to some independent goal or (...) end which they enable people to attain. Some recent philosophers seem to have hoped that by following this perfectionist strategy, we might attain a more convincing account of our moral practices than rule-based theories of ethics have been able to provide. (shrink)