Restaurant owners and indeed all the personnel need to create a pleasant servicescape and provide service quality excellence in all their encounters with their customers. Servicescape is the physical environment of a service business where service is delivered to paying or non-paying customers. Servicescape has a very strong effect on all consumption experiences where service is delivered. In India the service sector contributes nearly half of the GDP. Restaurant owners, managers and all the personnel need to be servicescape oriented in (...) order to increase a restaurant’s performance and improve its sustainability prospects. Servicescape is thus the physical facility and services which are considered to enhance customer satisfaction and sustain business. The purpose of the present study was to establish the relationship between Servicescape and customer’s loyalty towards fine dine restaurants in Jaipur. A total of 436 subjects who visited fine dining restaurant of Jaipur, age from 21 to 60 years of age, were selected for the study. To measure the servicescape parameters, a scale established by Mehrabian and Russell (1974) was adopted. To find out the relation between servicescape and customers’ loyalty, the Pearson product minute correlation was used. To develop a model for customers’ loyalty, linear regression was employed. Results revealed that there was a strong relationship between servicescape and customer’s loyalty and this allowed a significant model for customer’s loyalty to be developed. Hence, it is concluded that the loyalty of the customers can be predicted by using the proposed model. (shrink)

A polemical account of Australian philosophy up to 2003, emphasising its unique aspects (such as commitment to realism) and the connections between philosophers' views and their lives. Topics include early idealism, the dominance of John Anderson in Sydney, the Orr case, Catholic scholasticism, Melbourne Wittgensteinianism, philosophy of science, the Sydney disturbances of the 1970s, Francofeminism, environmental philosophy, the philosophy of law and Mabo, ethics and Peter Singer. Realist theories especially praised are David Armstrong's on universals, David Stove's on logical probability (...) and the ethical realism of Rai Gaita and Catholic philosophers. In addition to strict philosophy, the book treats non-religious moral traditions to train virtue, such as Freemasonry, civics education and the Greek and Roman classics. (shrink)

I denne artikel argumenteres der for, at døden i Phaidon primært skal forstås metaforisk, som sjælens adskillelse fra kroppen i den rene tænkning. Artiklens hovedtese er, at de fire argumenter for sjælens udødelighed, der findes i dialogen, skal læses som en fremadskridende afklaring af, hvilken væremåde sjælen har, når den isolerer sig fra kroppen, snarere end at læses bogstaveligt som beviser for, at sjælen er udødelig. Tillige argumenteres der for, at den såkaldt anden sejlads – Sokrates’ beskrivelse af, hvorledes han (...) for at forstå virkeligheden søgte tilflugt i argumenter og ideer snarere end i sanserne – skal forstås som et forsvar for en bestemt opfattelse af menneskelig frihed. Når Sokrates indfører ideerne som årsager i løbet af Phaidon, skal dette først og fremmest ses som en forklaring på, hvordan den rene tænkning kan erkende virkeligheden og derigennem kontrollere vores umiddelbare tilbøjeligheder. Det er mulighedsbetingelsen for menneskelig frihed som Platons Sokrates forstår den. Frihed skal da primært forstås som mulighed, nemlig mulighed til at handle i overensstemmelse med det, den fornuftsbestemte indsigt tilsiger en, at man skal gøre, uden hensyntagen til umiddelbare, kropsligt bestemte tilbøjeligheder, herunder tilbøjeligheden til selvopretholdelse for enhver pris. Den foreslåede læsning peger dermed på en politisk dimension af Phaidon, der ofte overses som følge af, at argumenterne for sjælens udødelighed tages for bogstaveligt. (shrink)

Taina sufletului omenesc, cuprins de setea după Dumnezeu și așezat în duhul rugăciunii, poartă întru sine o multitudine de valențe și trăiri duhovnicești, aproape cu neputință de exprimat în cuvinte. Cel zidit după „chipul lui Dumnezeu” Îl caută totdeauna pe Cel ce-i este cu adevărat Părinte (Abuno). Sfântul Apostol Pavel zugrăvește în cuvinte omenești Taina cea nepătrunsă de cuvânt a Cuvântului: „Cunosc un om în Hristos, care acum paisprezece ani – fie în trup, nu știu; fie în afară de trup, (...) nu știu, Dumnezeu știe – a fost răpit unul ca acesta până la al treilea cer. Și-l știu pe un astfel de om – fie în trup, fie în afară de trup, nu știu, Dumnezeu știe – că a fost răpit în Rai și a auzit cuvinte de nepătruns, pe care nu se cuvine omului să le grăiască”. Cunoașterea lui Dumnezeu din această stare sau în drumul spre ea a fost împărtășită de Părinții Bisericii prin experiențe și mărturisiri duhovnicești, încercând astfel să transpună în cuvinte ceea ce este prin definiție de negrăit. Din această binecuvântată dorință s-au născut adevărate mărgăritare mistice, fiecare cu propria strălucire, purtând în sine „destăinuirea celor trăite de Părinți în limitele culturii lor, cu cuvintele și imaginile pe care le-au dobândit prin educația și trăirea lor”. (shrink)

”Hvad er musik?” lyder et gammelt og godt spørgsmål, og svaret udformes i reglen som en redegørelse for, hvordan musik lyder. Med modernismen (Ligeti, Stockhausen, etc.). har vi imidlertid gjort den erfaring, at musikken kan forblive musik, selv når den er uden melodi, uden metrisk puls etc. Men hvis der ingen grænser er for, hvordan musik- ken kan lyde, kan vi heller ikke afgrænse – definere – musikken ved at henvise til, hvordan den lyder. Vi må, mener jeg, snarere (...) class='Hi'>tage udgangspunkt i den særlige måde, vi sanseligt indstiller os på lyden – ”omgås” den – når vi hører den som musik. (shrink)

In recent years there has been a number of promising technical and institutional developments regarding use of ontologies in industry. At the same time, however, most industrial ontology development work remains within the realm of academic research and is without significant uptake in commercial applications. In biomedicine, by contrast, ontologies have made significant inroads as valuable tools for achieving interoperability between data systems whose contents derive from widely heterogeneous sources. In this position paper, we present a set of principles learned (...) from the successful Open Biomedical Ontologies (OBO) Foundry initiative to guide the design and development of the Industrial Ontologies Foundry (IOF), which is a counterpart to the OBO Foundry initiative for the manufacturing industry. We also illustrate the potential utility of these principles by sketching the conceptual design of a framework for sustainable IOF development. (shrink)

This book discusses a variety of world views that we can find to describe human relationships with the environment, and the underlying values in them. It reviews existing international legal instruments discussing some of the ethical values that have been agreed among member states of the United Nations.

The development of manufacturing technologies for new materials involves the generation of a large and continually evolving volume of information. The analysis, integration and management of such large volumes of data, typically stored in multiple independently developed databases, creates significant challenges for practitioners. There is a critical need especially for open-sharing of data pertaining to engineering design which together with effective decision support tools can enable innovation. We believe that ontology applied to engineering (OE) represents a viable strategy for the (...) alignment, reconciliation and integration of diverse and disparate data. The scope of OE includes: consistent capture of knowledge pertaining to the types of entities involved; facilitation of cooperation among diverse group of experts; more effective ongoing curation, and update of manufacturing data; collaborative design and knowledge reuse. As an illustrative case study we propose an ontology focused on the representation of composite materials focusing in particular on the class of Functionally Graded Materials (FGM) in particular. The scope of the ontology is to provide information about the components of such materials, the manufacturing processes involved in creation, and diversity of application ranging from additive manufacturing to restorative dentistry. The ontology is developed using Basic Formal Ontology (BFO) and the Ontology for Biomedical Investigations (OBI). (shrink)

The manufacturing industry is evolving rapidly, becoming more complex, more interconnected, and more geographically distributed. Competitive pressure and diversity of consumer demand are driving manufacturing companies to rely more and more on improved knowledge management practices. As a result, multiple software systems are being created to support the integration of data across the product life cycle. Unfortunately, these systems manifest a low degree of interoperability, and this creates problems, for instance when different enterprises or different branches of an enterprise interact. (...) Common ontologies (consensus-based controlled vocabularies) have proved themselves in various domains as a valuable tool for solving such problems. In this paper, we present a consensus-based Additive Manufacturing Ontology (AMO) and illustrate its application in promoting re-usability in the field of dentistry product manufacturing. (shrink)

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

The report describes an application of ontologies to the analysis of wind turbine manufacturing data. We show how applying ontologies to composite materials data may facilitate the discovery of optimum composite material designs that will deliver maximum wind turbine blade performance within environmental constraints.

The study aimed to identify the relationship between correcting the deviations in the measurement of performance and achieving the objectives of control and the performance of the job at the Islamic University in the Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (20) statements distributed to three categories of employees of the Islamic University (senior management, faculty members, their assistants and members of the administrative board). (...) A random sample of 314 employees was selected and 276 responses were retrieved with a recovery rate of 88.1%. The Statistical Analysis Program (SPSS) was used to enter, process, and analyze the data. The results of the study showed a positive relationship between correcting deviations in performance measurement and achieving the control objectives represented by the functional performance in the Islamic University from the point of view of the members (senior management, faculty and their assistants, and the administrative board), where the relative weight of all the paragraphs was (74.25%). The study recommended the need to ensure that the actual performance of the planned performance is matched and decisions are taken to correct the serious deviations and take the necessary measures in terms of retraining and change in regulations, wages and bonuses and punishment of the culprit, neglect and negligence by mistake. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...) the performance of students. (shrink)

Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the information is (...) applied to real issues will increase student interest in learning. As a consequence, this may increase their effort to be taught. In the current paper, we try to help students learn C# programming language using Intelligent Tutoring System. This ITS was developed using ITSB authoring tool to be able to help the student learn programming efficiently and make the learning procedure very pleasing. A knowledge base using ITSB authoring tool style was used to represent the student's work and to give customized feedback and support to students. (shrink)

The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design of (...) an Intelligent Tutoring System for teaching English language grammar to help students learn English grammar easily and smoothly. The system provides all topics of English grammar and generates a series of questions automatically for each topic for the students to solve. The system adapts with all the individual differences of students and begins gradually with students from easier to harder level. The intelligent tutoring system was given to a group of students of all age groups to try it and to see the impact of the system on students. The results showed a good satisfaction of the students toward the system. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the dynamics (...) of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

By transcendental aesthetic, Kant means “the science of all principles of a priori sensibility” (A 21/B 35). These, he argues, are the laws that properly direct our judgments of taste (B 35 – 36 fn.), i.e. our aesthetic judgments as we ordinarily understand that notion in the context of contemporary art. Thus the first part of the Critique of Pure Reason, entitled the Transcendental Aesthetic, enumerates the necessary presuppositions of, among other things, our ability to make empirical judgments about particular (...) works of art. These presuppositions are sensible rather than intellectual because on Kant's view, all intellection that considers objects of any kind, whether abstract or concrete, must at base connect to actual, material objects with which we come into direct contact; and this we can do only through sensibility (A 19/B 33). Thus the following discussion explores what Kant claims must be true of us in order to make the sorts of aesthetic judgments we make, rather than any particular class or quality of aesthetic judgments itself. On Kant's view, what must be true of us in order to make aesthetic judgments is not different from what must be true of us in order to make any other kind of judgment about empirical objects. This last point is worth emphasizing, in order to correct an interpretation of Kant's account of aesthetic judgment in the Critique of Judgment that wrongly reads Kant as claiming that aesthetic judgments do not have to satisfy the same basic requirements of judgment that any other kind of judgment also must satisfy, such as the synthetic subsumption of such objects under certain necessary and hard-wired concepts of understanding, the internal coherence of such judgments with other, non-aesthetic ones of a more abstract and comprehensive character, the unified consciousness within which such judgments are intelligibly made, and the like. Of course Kant recognizes the special character of aesthetic judgments and unpacks it in the... (shrink)

Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive feat. (...) Through rigorous experimentation and data-driven approaches, we seek to determine the viability of AI in the realm of lottery predictions. Our findings reveal both the promise and limitations of AI in this context, shedding light on the complexities of lottery data and the potential need for quantum computing as a last resort. (shrink)

The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end of (...) life. We call this suite the Product Life Cycle (PLC) Ontologies. The suite extends proximately from The Common Core Ontologies (CCO) used widely in defense and intelligence circles, and ultimately from the Basic Formal Ontology (BFO), which serves as top level ontology for the CCO and for some 300 further ontologies. The PLC Ontologies were developed together, but they have been factored to cover particular domains such as design, manufacturing processes, and tools. We argue that these ontologies, when used together with standard public domain alignment and browsing tools created within the context of the Semantic Web, may offer a low-cost approach to solving increasingly costly problems of data management in the manufacturing industry. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (shrink)

In fact, people get neck problems due to something such as sports or woke and Wrong sleep habits. In this paper an expert system was designed to help users to correctly diagnose neck problems world (muscle spasm, Muscle aches, Meningitis, herniated cervical disc, Fibromyalgia, Cervical spondylosis, Trigger points) with some information about the disease and self-care. Java language was used to design and implement this expert system.

Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...) achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

Abstract: Purpose - This study aimed to analyze the relationship between the determinants of organizational justice and their relationship to conscientious behavior from the point of view of officers working in the Palestinian police in Gaza Strip. Methodology - The study relied on the descriptive and analytical approach, using the questionnaire, targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers. The study tool was distributed among the (...) sample members in all departments and governorates. Police in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%). Findings - The existence of a positive correlation between the determinants of organizational justice and the behavior of conscience, and the existence of organizational justice in general in a medium degree and the order of its determinants is as follows: fairness of dealings and to a large degree, followed by fairness of procedures and a medium degree, and finally distribution fairness was to a small degree, while the behavior of conscience awareness came to a large extent. Significance - The existence of statistically significant differences between the respondents' averages of responding to the searched relationship due to the variables (type of administration, age group, job title, military rank, years of service). Recommendations - Work to take into account the fairness of distribution by providing adequate and fair salaries, granting bonuses for the additional efforts exerted, and budgeting in the distribution of duties and job burdens, as well as recommending attention to the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and creating an organizational climate dominated by a sense of justice. (shrink)

This research paper presents the development and evaluation of an expert system for diagnosing kidney diseases. The expert system utilizes a decision-making tree approach and is implemented using the CLIPS and Delphi frameworks. The system's accuracy in diagnosing kidney diseases and user satisfaction were evaluated. The results demonstrate the effectiveness of the expert system in providing accurate diagnoses and high user satisfaction.

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass '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,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation of (...) the ITS was done by a group of students and teachers. The results were acceptable. (shrink)

Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical history, and (...) other relevant clinical information. The proposed expert system presents an overview about vertigo diseases are given, the cause of disease is outlined and the treatment or recommendation of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. The potential of the proposed expert system lies in its ability to enhance the accuracy and efficiency of vertigo diagnosis, as well as assist in the proper referral and management of patients. (shrink)

This article critically analyzes Rawls’s attitude toward envy. In A Theory of Justice, Rawls is predominantly concerned with the threat that class envy poses to political stability. Yet he also briefly discusses the kind of envy that individuals experience toward their social peers, which he calls particular envy, and which I refer to as peer envy. He quickly concludes, however, that particular envy would not present a serious risk to the stability of his just society. In this article, I contest (...) this claim by arguing that the principles that structure Rawls’s ideal society are likely to exacerbate particular envy to a politically risky extent. Section 1 reconstructs his account of envy, giving special attention to his belief that competition kindles envy between peers. Section 2 then examines the way in which Rawls often endorses rivalry within the body politic. I argue that the society governed by justice as fairness is, on account of this rivalry, likely to generate a politically problematic degree of particular envy. In Section 3, I invoke ancient Greece as an example of a society that was, as a result of its intense competitiveness, often imperiled by dangerously elevated levels of peer envy. I then survey the key institutional mechanisms by which the ancient Greeks sought to manage this hazardous emotion. It turns out, however, that most of these mechanisms would be unavailable to Rawls insofar as they starkly contravene his principles of justice. I conclude that if Rawlsians wish to establish a society that fosters rivalry, they would do well to reflect on the means by which peer envy can be effectively harnessed. (shrink)

This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to enhance (...) model generalizability. (shrink)

This paper has three main goals. First, to motivate a puzzle about how ignorance-expressing terms like maybe and if interact: they iterate, and when they do they exhibit scopelessness. Second, to argue that there is an ambiguity in our theoretical toolbox, and that exposing that opens the door to a solution to the puzzle. And third, to explore the reach of that solution. Along the way, the paper highlights a number of pleasing properties of two elegant semantic theories, explores some (...) meta-theoretic properties of dynamic notions of meaning, dips its toe into some hazardous waters, and offers characterization theorems for the space of meanings an indicative conditional can have. (shrink)

Kant's formulae ought to effectively produce the same result when applied to the moral validity of any particular maxim; further, no valid maxim produces contradictory results when applied against Kant's Universal Law and Humanity formulae. Where one uses all formulae in the assessment of a maxim, one gains a more complete understanding of the moral law, thereby bridging principles of reason with intuition within the agent who has undertaken to evaluate the morality of a particular action. These formulae command without (...) regard to any particular interests, but are instead unconditional; further, these formulae effectively limit choice of action and therefore give rise to duty. Kant implies that the structure of all maxims requires different formulae of the same moral law, i.e., all maxims have a ‘form’ and a ‘matter’, which prompt reconfiguring of the categorical imperative into different formulae in order to test the morality of a maxim. (shrink)

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

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...) image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

Many people are worried about the harmful effects of climate change but nevertheless enjoy some activities that contribute to the emission of greenhouse gas (driving, flying, eating meat, etc.), the main cause of climate change. How should such people make choices between engaging in and refraining from enjoyable greenhouse-gas-emitting activities? In this chapter, we look at the answer provided by decision theory. Some scholars think that the right answer is given by interactive decision theory, or game theory; and moreover think (...) that since private climate decisions are instances of the prisoner’s dilemma, one rationally should engage in these activities provided that one enjoys them. Others think that the right answer is given by expected utility theory, the best-known version of individual decision theory under risk and uncertainty. In this chapter, we review these different answers, with a special focus on the latter answer and the debate it has generated. (shrink)

In the Transcendental Aesthetic (TA), Kant is typically held to make negative assertations about “things in themselves,” namely that they are not spatial or temporal. These negative assertions stand behind the “neglected alternative” problem for Kant’s transcendental idealism. According to this problem, Kant may be entitled to assert that spatio-temporality is a subjective element of our cognition, but he cannot rule out that it may also be a feature of the objective world. In this paper, I show in a new (...) way how Kant’s view (focusing on his conclusions about space) is not subject to this objection, by showing that he does not make the denial about mind-independent reality that he is typically held to make. The argument develops consequences of a new reading of Kant’s expression “an sich selbst” (‘in itself’; ‘in themselves’). I argue that “an sich selbst” or “per se” has a special, judgment-level role, so that this expression does not form new noun-terms adjectivally. It follows that the conceptual unit of Kant’s “Conclusions” in the TA is simply “things” (Dinge), since “things in themselves” is not a nominal expression; Kant adopts the Wolffian ontological use of “thing” as the basic kind-term for any existent. The arguments that things per se are not in space are arguments that space cannot be a necessary property or relations of things as a kind. I show that this does not involve the positive claim about mind-independent reality that inspires the neglected alternative objection. (shrink)

Schopenhauer’s invective is legendary among philosophers, and is unmatched in the historical canon. But these complaints are themselves worthy of careful consideration: they are rooted in Schopenhauer’s philosophy of language, which itself reflects the structure of his metaphysics. This short chapter argues that Schopenhauer’s vitriol rewards philosophical attention; not because it expresses his critical take on Fichte, Hegel, Herbart, Schelling, and Schleiermacher, but because it neatly illustrates his philosophy of language. Schopenhauer’s epithets are not merely spiteful slurs; instead, they reflect (...) deep-seated theoretical and methodological commitments to transparency of exposition. (shrink)

A central debate in philosophy of action concerns whether agential knowledge, the knowledge agents characteristically have of their own actions, is inferential. While inferentialists like Sarah Paul hold that it is inferential, others like Lucy O’Brien and Kieran Setiya argue that it is not. In this paper, I offer a novel argument for the view that agential knowledge is non-inferential, by posing a dilemma for inferentialists: on the first horn, inferentialism is committed to holding that agents have only alienated knowledge (...) of their own actions; on the second horn, inferentialism is caught in a vicious regress. Neither option is attractive, so inferentialism should be rejected. (shrink)

This paper investigates ‘authoritative knowledge’, a neglected species of practical knowledge gained on the basis of exercising practical authority. I argue that, like perceptual knowledge, authoritative knowledge is non-inferential. I then present a broadly reliabilist account of the process by which authority yields knowledge, and use this account to address certain objections.

As these opening quotes acknowledge, the Prisoner’s Dilemma (PD) represents a core puzzle within the formal mathematics of game theory.3 Its rise in conspicuity is evident figure 2.1 above demonstrating a relatively steady rise in incidences of the phrase’s usage between 1960 to 1995, with a stable presence persisting into the twenty first century. This famous two-person “game,” with a stock narrative cast in terms of two prisoners who each independently must choose whether to remain silent or speak, each advancing (...) self-interest at the expense of the other and thereby achieving a mutually suboptimal outcome, mires any social interaction it is applied to into perplexity. The logic of this game proves the inverse of Adam Smith’s invisible hand: individuals acting on self interest will achieve a mutually suboptimal outcome. However, as this chapter illuminates, the assumptions underlying game theory drive this conclusion. (shrink)

Functionally graded materials (FGMs) have been used in many different kinds of applications in recent years and have attracted significant research attention. However, we do not yet have a commonly accepted way of representing the various aspects of FGMs. Lack of standardised vocabulary creates obstacles to the extraction of useful information relating to pertinent aspects of different applications. A standard resource is needed for describing various elements of FGMs, including existing applications, manufacturing techniques, and material characteristics. This motivated the creation (...) of the FGM Ontology (FGMO) in 2016. Here, we present a revised and expanded version of the FGM Ontology, which includes enrichments along four dimensions: (1) documenting recent FGMs applications; (2) reorganising the framework to incorporate an updated representation of types of manufacturing processes; (3) enriching the axioms of the ontology; and (4) importing mid-level ontologies from the Common Core Ontologies (CCO) and Product Life Cycle (PLC) Ontologies. The work is being carried out within the framework of the Industry Ontology Foundry (IOF), and the ontology is conformant to Basic Formal Ontology (BFO). (shrink)

Critics of the computational connectionism of the last decade suggest that it shares undesirable features with earlier empiricist or associationist approaches, and with behaviourist theories of learning. To assess the accuracy of this charge the works of earlier writers are examined for the presence of such features, and brief accounts of those found are given for Herbert Spencer, William James and the learning theorists Thorndike, Pavlov and Hull. The idea that cognition depends on associative connections among large networks of neurons (...) is indeed one with precedents, although the implications of this for psychological issues have been interpreted variously — not all versions of connectionism are alike. (shrink)

The study’s goal was to provide an educational intervention in Algebra through GeoGebra that would boost students’ confidence, improve their learning, and correct their most minor mastered skills, allowing them to improve their Algebra performance. The research design was quasi-experimental, with 40 nonrandomly chosen participants comprising the GeoGebra and control groups. Mean and standard deviation was employed to describe the algebra performance and confidence of the respondents. At the same time, independent and dependent t-tests were used to determine the students’ (...) significant difference in algebra performance and confidence in the pre-and post-test between the control and GeoGebra groups. GeoGebra effectively improved algebra confidence, enhanced learning, and remedied the students’ least mastered skills. GeoGebra is recommended as an instructional material in teaching and learning Algebra and can be extended to other mathematics content areas. (shrink)

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

Capital punishment—the legally authorized killing of a criminal offender by an agent of the state for the commission of a crime—stands in special need of moral justification. This is because execution is a particularly severe punishment. Execution is different in kind from monetary and custodial penalties in an obvious way: execution causes the death of an offender. While fines and incarceration set back some of one’s interests, death eliminates the possibility of setting and pursuing ends. While fines and incarceration narrow (...) one’s routes to happiness, death eliminates its possibility. Not surprisingly, there is much debate about the moral permissibility of capital punishment. This entry maps the terrain of this debate. The first section discusses justifications of the death penalty as they appear in major theories of punishment. The second section surveys moral objections to execution that apply to most justifications. The third addresses procedural criticisms, which do not target the morality of execution so much as the justice of its implementation. (shrink)

Urban infrastructures serve as the backbone of modern economies, mediating global exchanges and responding to urban demands. Yet, our comprehension of these complex structures, particularly within diverse socio-political terrain, remains fragmented. In bridging this knowledge gap, this study delves into “boundary objects”—entities enabling diverse stakeholders to collaborate without a comprehensive consensus. Central to our investigation is the hypothesis that oceanic infrastructural developments are instrumental in molding the interface of urban, industrial, and energy sectors within marine contexts. Our lens is directed (...) at the Gulf of Mexico, which is distinguished by its industrial depth and expansive marine grid. We highlight the Gulf Intracoastal Waterway’s (GIWW) paramount role in regional movement and the ecological facets of practices such as dredging, which is vital for transport and coastal conservation. A striking revelation of our study is the transformation of offshore structures in the Gulf into vibrant marine habitats. Emphasizing the intertwined nature of marine infrastructures, we denote oceans as pivotal platforms for impending urban expansion, especially as land resources wane. Our research aspires to validate the role played by oceans as a nexus in the urban–industrial–energy fusion. (shrink)

Through engagement with key informants and review of ethical theories applicable to refugee policy, this paper examines the ethical and policy considerations that policy-level stakeholders believe should factor into setting the refugee resettlement ceiling. We find that the ceiling traditionally has been influenced by policy goals, underlying values, and practical considerations. These factors map onto several ethical approaches to resettlement. There is significant alignment between U.S. policy interests and ethical obligations toward refugees. We argue that the refugee ceiling should be (...) restored to historical norms, and that there exists a corresponding obligation to counter negative public perceptions about refugees and the costs of resettlement. (shrink)

This essay argues that the exploration of scepticism and its implications in the work of Stanley Cavell and David Hume bears more similarities than is commonly acknowledged, especially along the lines of what I wish to call “sceptical naturalism.” These lines of similarity are described through the way each philosopher relates the “natural” and “nature” to the universal, the necessary, and the conventional.

Although social scientists have identified diverse behavioral patterns among children from dissimilarly structured families, marketing scholars have progressed little in relating family structure to consumption-related decisions. In particular, the roles played by members of single-mother families—which may include live-in grandparents, mother’s unmarried partner, and step-father with or without step-sibling(s)—may affect children’s influence on consumption-related decisions. For example, to offset a parental authority dynamic introduced by a new stepfather, the work-related constraints imposed on a breadwinning mother, or the imposition of adult-level (...) household responsibilities on children, single-mother families may attend more to their children’s product preferences. -/- Without a profile that includes socio-economic, behavioral, and psychological aspects, efficient and socially responsible marketing to single-mother households is compromised. Relative to dual-parent families, single-mother families tend to have fewer resources and less buying power, children who consume more materialistic and compulsively, and children who more strongly influence decision making for both own-use and family-use products. Timely research would ensure that these and other tendencies now differentiate single-mother from dual-parent families in ways that marketers should address. Hence, our threefold goal is (1) to consolidate and highlight gaps in existing theory applied to studying children’s influence on consumption-related decision making in single-mother families, and (2) to propose a hybrid framework that merges two theories conducive to such research, and (3) to identify promising research propositions for future research. (shrink)

Abstract: This study aimed to analyze the relationship between the determinants of organizational justice and altruistic behavior from the point of view of the police officers in Gaza Strip. The study relied on the descriptive and analytical approach, using the questionnaire, and targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and the study tool was distributed to the sample members in all departments and governorates Police (...) in Gaza Strip. (353) questionnaires were retrieved, with a recovery rate of (88.3%). The study found the existence of a positive correlation between the determinants of organizational justice and altruistic behavior, and the study also found the existence of organizational justice in general in a moderate degree and the order of its determinants was as follows: fairness of dealings and to a large degree, followed by fairness of procedures and a medium degree, and finally, distribution fairness was to a small degree, as for altruistic behavior. It came to a large extent. There are statistically significant differences between the respondents ’average response to the researched relationship due to the variables (Type Of Administration, Age Group, Job Title, Military Rank, and Years of Service). Taking into account the fairness of distribution by providing appropriate and fair salaries, granting bonuses for the additional efforts exerted, and budgeting in the distribution of duties and job burdens, and paying attention to the interests of employees when making decisions and involving them in formulating them, explaining their justifications, and considering altruistic behavior as a value, and the creation of an organizational climate dominated by a sense of justice, because of its prominent role in stability, calm and discipline at work, and thus the elevation of the police institution and the achievement of its desired goals. (shrink)