Morally speaking, what should one do when one is morally uncertain? Call this the Moral Uncertainty Question. In this paper, I argue that a non-ideal moral theory provides the best answer to the Moral Uncertainty Question. I begin by arguing for a strong ought-implies-can principle---morally ought implies agentially can---and use that principle to clarify the structure of a compelling non-ideal moral theory. I then describe the ways in which one's moral uncertainty affects one's moral prescriptions: moral uncertainty constrains the set (...) of moral prescriptions one is subject to, and at the same time generates new non-ideal moral reasons for action. I end by surveying the problems that plague alternative answers to the Moral Uncertainty Question, and show that my preferred answer avoids most of those problems. (shrink)

The Divine Comedy is a poem of Dante Alighieri representing, allegorically, the journey of a soul towards God, in the framework of Dante’s metaphysics of the divine light. However, besides metaphysics, we can find in the poem several passages concerning the natural phenomena. Here we discuss some them, in order to investigate Dante’s knowledge of Physics and, in particular, of Optics.

There are cases in which, intuitively, an agent’s action is both morally right in one sense, and morally wrong in another sense. Such cases (along with other intuitions about blameless wrongdoing and action-guidance) support distinguishing between the objective moral ‘ought’ and the subjective moral ‘ought.’ This chapter argues against drawing this distinction, on the grounds that the prescriptions delivered by an adequate objective moral theory must be sensitive to the mental states of agents. Specifically, an adequate theory of the objective (...) moral ‘ought’ must respect a strong ought-implies-can principle—morally ought implies agentially can—in order to prescribe actions to real-life agents. An agent’s mental states determine what is agentially possible for that agent; thus, what an agent objectively morally ought to do is in part determined by the agent’s mental states. This chapter describes the structure of a compelling non-ideal moral theory that is both objective and mental state-sensitive. This non-ideal theory illuminates the shortcomings of extant objectivist and subjectivist moral theories, and illustrates how we can dispense with the subjective moral ‘ought.’. (shrink)

English interpretations, appropriations, and transpositions of the figure of Don Quixote play a pivotal role in eighteenth-century constructions of so-called English national character. A corpus of quixotic narratives worked to reinforce the centrality of Don Quixote and the practice of quixotism in the national literary landscape. They stressed the man from La Mancha’s eccentricity and melancholy in ways inextricable from English self-constructions of these traits.2 This is why Stuart Tave is able to write that eighteenth-century Britons could “recast” Don Quixote (...) in a fashion that followed “national pride” in the “freedom” of their humors.1 However, Don Quixote’s integral place in patriotic self-constructions was troubled by gender. While national character was construed as masculine by default, quixotism’s association with masculinity was complicated by the potential passive penetrability of quixotism and the proliferation of narratives about female quixotic readers. This essay will analyze these tensions. Henry Fielding’s Joseph Andrews (1742) and Laurence Sterne’s Tristram Shandy (1759–67) are key examples of quixotic texts that respond to the figure of the female quixote by interrogating the relationship between Englishness, masculinity, and quixotism. (shrink)

Raymond Carver's stories have received many labels: minimalism, K-mart fiction, low-rent tragedy, neo-realism. Paring language, plot, and characterization to the bone, Carver concentrates his stories on instances of judgment and choice. These climactic moments affect not only the characters, but also the reader, who is called to fill the gaps in the text. The gaps generally show the unrelatedness of the characters' responses to the situations in which they find themselves. Relying on formulae, concepts, and rules taken for granted as (...) common knowledge, Carver's characters make choices and judgments which reveal the displacement of their consciousness of themselves and of the world. In trying to fill the gaps, the reader finds himself/herself in the same stance of making judgments and choices, and of looking at his/her own displacement. This predicament is more poignantly conveyed in the early stories, collected in Will You Please Be Quiet, Please?, Furious Seasons, and What We Talk About When We Talk About Love, since Carver writes about people "on the other side of the tracks," that is, on the edges of the sites of power and decisions. Bartenders, wage workers, and salespeople, Carver's characters in these early stories see their lives always threatened by joblessness, bankruptcy, and homelessness. In the later stories, collected in Cathedral and Where I'm Calling From, Carver explores possibilities in conversation, storytelling, and rituals that celebrate the here and now of each occasion and allow the merging of voices and feelings that places the individual's consciousness in the world. (shrink)

In their article, “Immigrant legalization: A Dilemma Between Justice and The Rule of Law,” Sarah Song and Irene Bloemraad address rule of law objections to policies that would regularize the status of undocumented immigrants in the United States. On their view, justice requires that liberal democratic states (i.e., states that are committed to individual liberty and universal equality) provide pathways for undocumented immigrants to regularize their status. We do not disagree with Song and Bloemraad’s account: rule of law and regularization (...) policies are not inconsistent, and in fact regularization supports rule of law, when properly understood. Our view is that there needs to be a deeper investigation into the motivations of “rule of law” objections considered in Song and Bloemraad’s account. We argue that the real purpose of these objections is not necessarily to serve as an alternative to the justice-based claims of undocumented immigrants, but as a way to undermine them. On our account, these rule of law objections accomplish this undermining task through the mechanisms of dog whistling, discrediting and distorting, and ostracizing. (shrink)

in academic entrepreneurship and creation of university spin-off companies has grown in South Africa. This study aims to establish the factors that inspire academics to engage in entrepreneurial activities and to identify the role that academic entrepreneurs play in the process of technology transfer and commercialization at University of Technology (UoT) X. A quantitative research approach is adopted throughout this study. As part of the quantitative research approach, structured questionnaires were directly administered to the respondents to collect the data. Specifically, (...) 52 electronic survey questionnaires were distributed. The sample is drawn from two databases compiled, using UOTX’s internal research records. One of the databases, held a list of those academics who have been active in terms of research as evident in their research outputs – technology creation and transfer. The other database (control group) holds a list of those academics that have not been active. From both groups, a purposive sample is drawn for the survey questionnaire. This study notes that pull factors tend to influence the entrepreneurial activities of academics at UOT X more than push factors and that academics are key players in the process of technology transfer. Thus, this study may assist the university senior management to develop strategies to improve academic entrepreneurship for all faculties. In line with this, it is expected that the primary function of UOT X should be to instil a greater entrepreneurial spirit among the relevant stakeholders. (shrink)

'Hands Tied' brings together two very different films about hands: Maria Lassnig's Palmistry (1973) and Ayesha Hameed's A Rough History (of the Destruction of Fingerprints) (2016). These works are contextualised and their scope extended further by a roundtable discussion featuring participants Rachel Aumiller, Sam Dolbear, Nadine El-Enany, Amelia Groom, Clio Nicastro, Anja Sunhyun Michaelsen, and M. Ty., who discuss their relation to fate, work, pleasure, touch, and surveillance.

LEITE (Fábio Rodrigo) – STOFFEL (Jean-François), Introduction (pp. 3-6). BARRA (Eduardo Salles de O.) – SANTOS (Ricardo Batista dos), Duhem’s analysis of Newtonian method and the logical priority of physics over metaphysics (pp. 7-19). BORDONI (Stefano), The French roots of Duhem’s early historiography and epistemology (pp. 20-35). CHIAPPIN (José R. N.) – LARANJEIRAS (Cássio Costa), Duhem’s critical analysis of mecha­ni­cism and his defense of a formal conception of theoretical phy­sics (pp. 36-53). GUEGUEN (Marie) – PSILLOS (Stathis), Anti-­scepticism and epistemic humility (...) in Pierre Duhem’s philosophy of science (pp. 54-72). LISTON (Michael), Duhem : images of science, historical continuity, and the first crisis in physics (pp. 73-84). MAIOCCHI (Roberto), Duhem in pre-war Italian philos­ophy : the reasons of an absence (pp. 85-92). HERNÁNDEZ MÁRQUEZ (Víctor Manuel), Was Pierre Duhem an «esprit de finesse» ? (pp. 93-107). NEEDHAM (Paul), Was Duhem justified in not distinguishing between physical and chemical atomism ? (pp. 108-111). OLGUIN (Roberto Estrada), «Bon sens» and «noûs» (pp. 112-126). OLIVEIRA (Amelia J.), Duhem’s legacy for the change in the historiography of science : An analysis based on Kuhn’s writings (pp. 127-139). PRÍNCIPE (João), Poincaré and Duhem : Resonances in their first epistemological reflec­tions (pp. 140-156). MONDRAGON (Damián Islas), Book review of «Pierre Duhem : entre física y metafísica» (pp. 157-159). STOFFEL (Jean-François), Book review of P. Duhem : «La théorie physique : son objet, sa structure» / edit. by S. Roux (pp. 160-162). STOFFEL (Jean-François), Book review of St. Bordoni : «When historiography met epistemology» (pp. 163-165). (shrink)

In this paper, I argue that the fetishism objection to moral hedging fails. The objection rests on a reasons-responsiveness account of moral worth, according to which an action has moral worth only if the agent is responsive to moral reasons. However, by adopting a plausible theory of non-ideal moral reasons, one can endorse a reasons-responsiveness account of moral worth while maintaining that moral hedging is sometimes an appropriate response to moral uncertainty. Thus, the theory of moral worth upon which the (...) fetishism objection relies does not, in fact, support that objection. (shrink)

Criminal law practices in the US, including policing and incarceration, have drawn heavy criticism for their disproportionate impact on black people, particularly black men. At the same time, some feminist scholars and activists advocate for increases in criminal law responses to sexual assault, including expanding criminal statutes to cover more instances of sexual assault and increasing sentencing guidelines. These reforms are often justified by claims that criminal law should express more feminist values and reject sexist social schemas. This paper makes (...) the case that criminal legal interventions aimed at changing sexist social schemas, such as ‘rape culture,’ are unlikely to be successful because criminal law is effective at maintaining existing social norms, but bad at introducing novel ones. Similarly, in the US, criminality has been ideologically linked to blackness, so attempts to use the stigma of criminality to combat sexual violence are likely to reinforce anti-black racism. The very meaning of a criminal law depends on related social schemas, and the racist social schemas associated with criminality undermine the ability of criminal legal responses to present anti-sexist values. At best, criminal legal reforms aimed at expressing the equal dignity of women will be ambiguous because their meaning is negotiated by existing sexist and racist social schemas. Thus, penal expressivism cannot offer a justification for using criminal law to combat sexual assault. (shrink)

This paper considers three possible ways of understanding the claim that the American criminal justice system is racist: individualist, “patterns”-based, and ideology-based theories of institutional racism. It rejects an individualist explanation of institutional racism because such an explanation fails to explain the widespread prevalence of anti-black racism in this system or indeed in the United States. It considers a “patterns” account of institutional racism, where consistent patterns of disparate racial effect mimic the structure of intentional projects of racial subjugation like (...) slavery or Jim Crow. While a “patterns” account helpfully directs attention to the effects of policies and practices that make up an institution, it does not fully explain the deep roots of anti-blackness in the criminal justice system in the United States. The paper concludes by defending an ideology-based theory of institutional racism for understanding the criminal justice system because the stereotype of the black criminal has a mutually reinforcing relationship with the patterns of disparate outcome for black people in the criminal justice system. This relationship creates a looping effect where the stereotype of the black criminal fuels the disproportionate involvement of black people in the criminal justice system, and the disproportionate representation of black people with felony records, in prisons, brutalized in police encounters, and so on reinforces the idea that black people are especially prone to criminality. Ideological approaches to racism that integrate attention to the patterns of disparate effect best explain what it means to say that the criminal justice system is racist. (shrink)

Abstract: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This research can (...) enhance user experience, book catalog organization, and aid publishers, simplifying recommendation processes and providing tailored suggestions based on user preferences. (shrink)

Sean McKeever and Michael Ridge object that moral particularism ‘flattens the moral landscape’, that is, that particularism treats reasons of different kinds as if they were reasons of the same kind. This objection is misguided in two respects. First, particularists need not say that every feature can be a moral reason. Second, even if particularists were committed to saying that every feature can be a moral reason, they would still not be committed to the view that every feature can have (...) direct moral relevance. The failure of this objection shows that the objection exploits side-constraints that need not be placed on moral particularism. (shrink)

Since 1900, debates about the justification of punishment have also been debates about the cause of crime. In the early twentieth century, the rehabilitative ideal of punishment viewed mental illness and dysfunction in individuals as the cause of crime. Starting in the 1970s, retributivism identified the immorality of human agents as the source of crime, which dovetailed well with the “tough-on-crime” political milieu of the 1980s and 1990s that produced mass incarceration. After surveying these historical trends, Wirts argues for a (...) social critical view that crime is best understood as a product of an unjust society, not faulty human beings. This view should take the lessons learned by the critiques of rehabilitation, however, and resist the tendency to reduce human beings to recipients of social services. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we try (...) to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

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

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

In this paper, we are proposing a study of the Vesica Piscis, a symbol of Sacred Geometry, starting from mathematics. This study aims to give a deeper comprehension of the hidden meanings of this icon. The paper is also showing that scientific and philosophical studies can be integrated, leading to very interesting results.

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

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

Here we propose a discussion about the "mandorla" or "vesica piscis". It is a type of 2-dimensional lens, that is, a geometric shape formed by the intersection of two circles with the same radius, intersecting in such a way that the centre of each circle lies on the perimeter of the other. The aim of the discussion is that of understanding when such a geometric shape became a symbol and when this symbol received a specific name. We will find that (...) the name "mandorla" was used long before the term "vesica piscis", which is the Latin translation of the German "fischblosen" used by Albrecht Dürer in his book on geometry. Therefore, the name invented by Dürer was not used by the painter for a sacred form. However, after the middle of the nineteenth century the term "vesica piscis" exploded in literature. Its use was criticized and, at the same time, it was stressed that the proper term for the symbol is "mandorla". Nonetheless, the "vesica piscis" continues to be largely used in the sacred geometry, which ascribes symbolic and sacred meanings to certain geometric shapes and proportions. In the proposed discussion, we will also show that, recently, the 2-dimensional lenticular symbol has been related to the Pythagorean philosophy. It is told that the followers of this philosophy had the habit of using an apple for symbolic communications. Sliced across, the core of the apple is displaying a pentagram, but sliced lengthwise it forms two intersecting circles, that is a "mandorla". Then, the investigation about terms and related uses of this specific geometric shape is the core of the matter of our discussion or, let us tell, the "core of the apple", in a Pythagorean-like approach to find how a German "fischblosen" evolved into a sacred symbol, thanks to a translation into Latin. (shrink)

Using research grants administrators and their clients (academic researchers) as the lens, this paper investigated the relevance and implication of a fraud prevention policy at a University of Technology (UoT) in South Africa. The paper adopted a quantitative approach in which closed-ended questions were complemented by open-ended questions in the survey questionnaire in the attempt to capture the perceptions of both research grants administrators and their clients on the relevance and implications of a fraud and irregularity prevention policy. The results (...) indicate that both research grants administrators (71.4 %), and their clients (73%) do not know if UoTx has a fraud and irregularity policy. While only 36% of research grants administrators indicated that they would feel safe reporting deceitful activities, a slight majority (59%) of the clients reported same. With regards to the steps to follow to report fraudulent activity, it was noted that while all (100%) the research grants administrators noted that they were clueless, ironically an overwhelming majority of their clients indicated otherwise. Notwithstanding, both research grants administrators and their clients (93% and 95% respectively) concurred that a fraud prevention policy was necessary for UoTx. The implication is that having phenomenal controls that are not effectively publicized, monitored or worse still overridden by someone are useless. (shrink)

Review di due libri essenziali per conoscere meglio Amedeo Avogadro e il suo impegno nella società civile del tempo.

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

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

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper is (...) By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

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

Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...) and public health agencies. Our analysis aims to identify common features, data quality, and potential biases in these datasets. Next, we explore the predictive modeling techniques employed in heart attack prediction. Machine learning algorithms, such as decision trees, support vector machines, and deep neural networks, have gained prominence in predicting heart attacks. We discuss the strengths and limitations of these methods and highlight recent advancements in predictive modeling. Furthermore, we delve into the critical risk factors associated with heart attacks. Factors such as age, gender, hypertension, diabetes, and cholesterol levels are examined for their significance in predicting cardiac events. We also investigate the role of lifestyle factors, including smoking, diet, and physical activity, in heart attack risk assessment. Additionally, this review addresses the importance of data preprocessing and feature engineering in improving prediction accuracy. Feature selection methods, missing data handling, and data scaling techniques are discussed to enhance the robustness of heart attack prediction models. In conclusion, this comprehensive dataset review provides valuable insights into the state of heart attack analysis and prediction. It serves as a resource for researchers and healthcare professionals seeking to better understand the datasets available for heart attack research and the methods employed for accurate prediction. Ultimately, our efforts in dataset analysis and predictive modeling contribute to the advancement of preventive cardiology and the reduction of heart attack-related morbidity and mortality. (shrink)

Climate change temperature prediction plays a crucial role in effective environmental planning. This study introduces an innovative approach that harnesses the power of Artificial Neural Networks (ANNs) within the Just Neural Network (JustNN) framework to enhance temperature forecasting in the context of climate change. By leveraging historical climate data, our model achieves exceptional accuracy, redefining the landscape of temperature prediction without intricate preprocessing. This model sets a new standard for precise temperature forecasting in the context of climate change. Moreover, our (...) research provides valuable insights into the pivotal factors influencing temperature variations, making significant contributions to environmental science and climate mitigation strategies. (shrink)

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

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

This paper critically examines coincidence arguments and evolutionary debunking arguments against non-naturalist realism in metaethics. It advances a version of these arguments that goes roughly like this: Given a non-naturalist, realist metaethic, it would be cosmically coincidental if our first order normative beliefs were true. This coincidence undermines any prima facie justification enjoyed by those beliefs.

What is freedom? The contemporary history of humanity is a quest for enduring human freedom over oppression, subjugation and tyranny of many forms. In that pursuit, many wars have been fought, and millions of lives have perished, and many ideologies were born. In simple terms, freedom to the ability to act or change without being constrained. Freedom manifests when obstacles to initiate change or to express free will are removed. From a needs perspective, freedom is when an individual can pursue (...) his or her needs, wants and aspirations freely. However, freedom may not be absolute; some constraints or caveats can manifest from personal ethics and morality, family, cultural, faith systems and governance structures. It may also differ from one society to another. From a religious or philosophical perspective, freedom is often associated with liberty and autonomy, and only exist in a human realm. This type of freedom is also known as political freedom expressed in the forms of human rights and civil liberties, which are often legislated and protected by laws. Nonetheless, the limits and depths of political freedoms such as freedom of choice, assembly, association, and freedom of expression are often debated and sometimes challenged through modern history. (shrink)

Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...) Watch institute. Discovery and classification depend on human experience and effort, so the error in the results of this process can lead to forest fires and disasters. Therefore, deep learning algorithms from artificial intelligence and machine learning sciences have been applied to help specialists avoid false or inaccurate diagnoses when detecting Forest fires in images using a pre-trained convolutional neural network called VGG16. The model was customized to fit the Forest fires classification and then applied to a dataset consisting of (14,000) of the Forests collected from the Kaggle depository. We trained, validated, and tested the modified VGG16 model. The proposed VGG16 model obtained Precision (99.96%), Recall (99.96%), and F1-Score (99.96%). (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)

To improve oneself and grow professionally, career development has been found to be crucial, as it serves as a roadmap for the professional growth of employees. However, a barrier, known as the glass ceiling, hinders the progress of employees, especially those in the LGBTQIA+ community. This study explores the impact of the glass ceiling on the career development of selected LGBTQIA+ individuals, shedding light on the barriers faced by this community in the workplace. The researchers used a qualitative multiple-case study (...) and selected ten (10) LGBTQIA+ participants from large enterprises via the judgmental sampling technique. Through thematic analysis, psychological impact, workplace discomfort, lack of recognition, and career progress challenges emerged as the impacts of the glass ceiling on the participants. Strategies for overcoming glass ceiling barriers, such as resilience, self-reflection, and community support, are identified. Thus, the study found that glass ceilings are really evident in the context of businesses. With this, the proposed advocacy plan in the study suggests interventions like workplace inclusion training, mentorship networks, and seminars on employee rights. Furthermore, it emphasizes the call for ongoing research and advocacy efforts to dismantle barriers and cultivate workplaces that not only embrace diversity but also provide equitable opportunities for career growth. (shrink)

Contemporary republicans have adopted a less-than-charitable attitude toward private beneficence, especially when it is directed to the poor, worrying that rich patrons may be in a position to exercise arbitrary power over their impoverished clients. These concerns have led them to support impartial public provision by way of state welfare programs, including an unconditional basic income (UBI). In contrast to this administrative model of public welfare, I will propose a competitive model in which the state regulates and subsidizes a decentralized (...) and nonstatist provision of support for the poor. This model will fix the historically objectionable features of private provision by having the state prevent collusion among private charities, deliver information to recipients about alternative sources of assistance, and give substantial grants to charities as well as tax incentives and vouchers to donors. I will contend that such an approach would do a better job of minimizing domination of the poor than traditional welfare states and may prove more politically feasible than a UBI, at least in the near term in certain national contexts. (shrink)

This paper traces two contradicting beliefs about death and immortality in the writings of Rabbi Hayyim Hirschensohn, and examines these opposing beliefs in his Halakhic ruling, in the case of Autopsies. The paper opens by conceptualizing two possible attitudes regarding the relation between this-world and the ʽother-world’, and by analyzing two main beliefs regarding death and immortality in their relation to the body-spirit distinction (the naturalistic and the spiritualistic approach). It demonstrates how Hirschensohn was holding these two different views. The (...) paper then moves to examine whether his halakhic ruling may help us in understanding which approach was Hirschensohn’s favorable belief, by investigating his halakhic ruling regarding autopsies. Hirschensohn permits to perform such surgeries, however subject to some halakhic limitations. The paper concludes that the naturalistic belief regarding death appears to be the more dominant one in his thought. Finally, I point out a few consequences of this paper, for addressing some contemporary ethical dilemmas regarding human corpses. (shrink)

Edited proceedings of an interdisciplinary symposium on consciousness held at the University of Cambridge in January 1978. Includes a foreword by Freeman Dyson. Chapter authors: G. Vesey, R.L. Gregory, H.C. Longuet-Higgins, N.K. Humphrey, H.B. Barlow, D.M. MacKay, B.D. Josephson, M. Roth, V.S. Ramachandran, S. Padfield, and (editorial summary only) E. Noakes. A scanned pdf is available from this web site (philpapers.org), while alternative versions more suitable for copying text are available from https://www.repository.cam.ac.uk/handle/1810/245189. -/- Page numbering convention for the pdf version (...) viewed in a pdf viewer is as follows: 'go to page n' accesses the pair of scanned pages 2n and 2n+1. Applicable licence: CC Attribution-NonCommercial-ShareAlike 2.0. (shrink)

This work presents the design of an expert system that aims to provide the patient with background for suitable diagnosis of some of the eye diseases. The eye has always been viewed as a tunnel to the inner workings of the body. There are many disease states that may produce symptoms from the eye. CLIPS language is used as a tool for designing our expert system. An initial evaluation of the expert system was carried out and a positive feedback was (...) received from the users. (shrink)

There is a broad consensus, within the interlocking system of art institutions, on the goals viewed as worth achieving. Artists, for example, will strive to realize broadly formalist values in their work; critics will strive to discern and articulate the achievement of such values; dealers will strive to discover and promote artists whose work successfully reflects these standards; and collectors will strive to acquire and exchange such work.The long-range effect of this tightly defended consensus is that the art practitioners who (...) share it determine - through their shared values and practices, and the economic and social factors that determine them - the criteria of critical evaluation for all art that aspires to entry into existing art institutions. I shall describe this as a state of critical hegemony. That is, the socioeconomically determined aesthetic interests of these individuals define not only what counts as "good" and "bad" art, but what counts as art, period. (shrink)

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

Adorno and Levinas argue from distinct yet intersecting perspectives that there are pathological forms of freedom, formed by systems of power and economic exchange, which legitimate the neglect, exploitation and domination of others. In this paper, I examine how the works of Adorno and Levinas assist in diagnosing the aporias of liberty in contemporary capitalist societies by providing critical models and strategies for confronting present discourses and systems of freedom that perpetuate unfreedom such as those ideologically expressed in possessive individualist (...) and libertarian conceptions of freedom. (shrink)

The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of books. (...) The prediction is based on these features (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which were used as input variables and (average_rating) as output variable for our ANN model. Our model were created, trained, and validated using data set in JNN environment, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.78% of the validation samples. (shrink)

Recent empirical work on the concept of intentionality suggests that people’s assessments of whether an action is intentional are subject to uncertainty. Some researchers have gone so far as to claim that different people employ different concepts of intentional action. These possibilities have motivated a good deal of work in the relatively new field of experimental philosophy. The findings from this empirical research may prove to be relevant to medical ethics. In this article, we address this issue head on. We (...) first describe a study we conducted on intention ascription. Drawing on recent work in experimental philosophy, we investigated the possibility that the ascription of intentions to clinical actors in clinical settings is influenced by prior judgments about the goodness or badness of the consequences of the action in question. Our study was modeled on experimental studies in other contexts that have shown that people, when presented with a range of scenarios, are more likely to classify a side effect of an action as intended if the side effect is negative or reflects poorly on the actor than if it is positive or reflects well on the actor. We investigated whether this asymmetry in intention ascriptions was also present among physicians who were asked to ascribe intentions to clinical actors in certain well-defined clinical scenarios. After describing the study and its results, we discuss its implications for medical ethics. (shrink)

The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more fact-oriented (...) and less theoretical than physics. However, the key leverageable idea is that careful extension of the science of living systems can be more effectively applied to some of our most vexing modern problems than the prevailing scheme, derived from abstractions in physics. While these have some universal application and demonstrate computational advantages, they are not theoretically mandated for the living. A new set of mathematical abstractions derived from biology can now be similarly extended. This is made possible by leveraging new formal tools to understand abstraction and enable computability. [The latter has a much expanded meaning in our context from the one known and used in computer science and biology today, that is "by rote algorithmic means", since it is not known if a living system is computable in this sense (Mossio et al., 2009).] Two major challenges constitute the effort. The first challenge is to design an original general system of abstractions within the biological domain. The initial issue is descriptive leading to the explanatory. There has not yet been a serious formal examination of the abstractions of the biological domain. What is used today is an amalgam; much is inherited from physics (via the bridging abstractions of chemistry) and there are many new abstractions from advances in mathematics (incentivized by the need for more capable computational analyses). Interspersed are abstractions, concepts and underlying assumptions “native” to biology and distinct from the mechanical language of physics and computation as we know them. A pressing agenda should be to single out the most concrete and at the same time the most fundamental process-units in biology and to recruit them into the descriptive domain. Therefore, the first challenge is to build a coherent formal system of abstractions and operations that is truly native to living systems. Nothing will be thrown away, but many common methods will be philosophically recast, just as in physics relativity subsumed and reinterpreted Newtonian mechanics. -/- This step is required because we need a comprehensible, formal system to apply in many domains. Emphasis should be placed on the distinction between multi-perspective analysis and synthesis and on what could be the basic terms or tools needed. The second challenge is relatively simple: the actual application of this set of biology-centric ways and means to cross-disciplinary problems. In its early stages, this will seem to be a “new science”. This White Paper sets out the case of continuing support of Information and Communication Technology (ICT) for transformative research in biology and information processing centered on paradigm changes in the epistemological, ontological, mathematical and computational bases of the science of living systems. Today, curiously, living systems cannot be said to be anything more than dissipative structures organized internally by genetic information. There is not anything substantially different from abiotic systems other than the empirical nature of their robustness. We believe that there are other new and unique properties and patterns comprehensible at this bio-logical level. The report lays out a fundamental set of approaches to articulate these properties and patterns, and is composed as follows. -/- Sections 1 through 4 (preamble, introduction, motivation and major biomathematical problems) are incipient. Section 5 describes the issues affecting Integral Biomathics and Section 6 -- the aspects of the Grand Challenge we face with this project. Section 7 contemplates the effort to formalize a General Theory of Living Systems (GTLS) from what we have today. The goal is to have a formal system, equivalent to that which exists in the physics community. Here we define how to perceive the role of time in biology. Section 8 describes the initial efforts to apply this general theory of living systems in many domains, with special emphasis on crossdisciplinary problems and multiple domains spanning both “hard” and “soft” sciences. The expected result is a coherent collection of integrated mathematical techniques. Section 9 discusses the first two test cases, project proposals, of our approach. They are designed to demonstrate the ability of our approach to address “wicked problems” which span across physics, chemistry, biology, societies and societal dynamics. The solutions require integrated measurable results at multiple levels known as “grand challenges” to existing methods. Finally, Section 10 adheres to an appeal for action, advocating the necessity for further long-term support of the INBIOSA program. -/- The report is concluded with preliminary non-exclusive list of challenging research themes to address, as well as required administrative actions. The efforts described in the ten sections of this White Paper will proceed concurrently. Collectively, they describe a program that can be managed and measured as it progresses. (shrink)