A system of system’s ability to function is derived from the integration of systems from different sources. An SOS’s systems serve two purposes: first, to accomplish their own specific aims, and second, to provide resources to the SOS as a whole. In the last few decades, machine learning and data analytics have been widely used in system design and acquisitions. Every organisation that acquires a sophisticated system employs some type of data analytics to evaluate the system’s independent objectives, which is (...) universally accepted. Data analytics and decision-making regarding the independent system is rarely shared across SOS stakeholders, even though the systems contribute to and benefit from the larger SOS. The goal of this research is to determine how the exchange of data sets and the corresponding analytics by SOS stakeholders can improve SOS capacity. Predicting SOS capabilities by exchanging relevant data sets and prescribing information connections between systems, we propose to use machine learning techniques. This article serves as an intermediate analysis of the above research work and aims to estimate the benefit of information sharing among the SOS stakeholders. In this research, we have applied different machine learning models to the IBM HR analytics data set to determine the corresponding analytics by SOS stakeholders that can improve SOS capacity. We propose using machine learning techniques to forecast SOS capabilities through the sharing of relevant data sets, and we prescribe the information linkages across systems to make this possible. This paper provides an update on the progress being made toward the aforementioned research project, and its primary focus is on developing a method to put a dollar amount on the benefits of information sharing among the many parties involved in the SOS. (shrink)

The liver is the human body’s mandatory organ, but detecting liver disease at an early stage is very difficult due to the hiddenness of symptoms. Liver diseases may cause loss of energy or weakness when some irregularities in the working of the liver get visible. Cancer is one of the most common diseases of the liver and also the most fatal of all. Uncontrolled growth of harmful cells is developed inside the liver. If diagnosed late, it may cause death. Treatment (...) of liver diseases at an early stage is, therefore, an important issue as is designing a model to diagnose early disease. Firstly, an appropriate feature should be identified which plays a more significant part in the detection of liver cancer at an early stage. Therefore, it is essential to extract some essential features from thousands of unwanted features. So, these features will be mined using data mining and soft computing techniques. These techniques give optimized results that will be helpful in disease diagnosis at an early stage. In these techniques, we use feature selection methods to reduce the dataset’s feature, which include Filter, Wrapper, and Embedded methods. Different Regression algorithms are then applied to these methods individually to evaluate the result. Regression algorithms include Linear Regression, Ridge Regression, LASSO Regression, Support Vector Regression, Decision Tree Regression, Multilayer Perceptron Regression, and Random Forest Regression. Based on the accuracy and error rates generated by these Regression algorithms, we have evaluated our results. The result shows that Random Forest Regression with the Wrapper Method from all the deployed Regression techniques is the best and gives the highest R2-Score of 0.8923 and lowest MSE of 0.0618. (shrink)

During the initial phases of the COVID-19 pandemic, stress and anxiety were pervasive among the masses due to high morbidity and mortality. Besides the fear of coronavirus was also particularly driven by social media. Many people started to look for faith and spiritual connections to gain comfort. The role of spiritual ties and religious beliefs in relation to coping with pandemic stress gained the attention of researchers in some parts of the world. This cross-sectional survey aimed at assessing the intensity (...) of stress and anxiety symptoms experienced by people and how much they were alleviated by employing spiritual connections. The study sample comprises 795 respondents with 52% males and 48% females living in Saudi Arabia. The brief online study questionnaire collected data about background variables, anxiety and stress scale from DASS-21, and items from the WHOQOL instrument assessed the use of spiritual beliefs to cope. Multiple regression models were tested to determine the role of spiritual connections after adjusting demographic variables. Results illustrated that after adjusting for gender and age, participants' anxiety symptoms decreased by units with each unit increase in the use of spiritual connections, and participants’ stress symptoms reduce by units with each unit increase in coping with spirituality. Additionally, females’ risk to experience anxiety and stress symptoms was more than males and, respectively. An increase in age decreases the likelihood of experiencing anxiety symptoms and stress symptoms by and units respectively. Findings support the protective role of spiritual connections despite small beta coefficients. The social and cultural context in Saudi Arabia favors deep-rooted connections with spirituality and faith. Our findings support that the reliance on spiritual connections helped older people to deal with exaggerated fear during the initial phase of the COVID-19 pandemic and reduces the risk of experiencing anxiety and stress symptoms. Females and younger participants were relatively vulnerable to developing these symptoms. We discussed these findings considering some recent studies that reported similar relationships and made recommendations for future research. (shrink)

Transcendental Ego is the principle of principles that philosophization of great philosophers such as Husserl has been based upon it. Husserl, too, as a follower of Descartes meditations and philosophy with attemption in intentionality of transcendental ego accepts it as the base of principles of philosophization and declares himself as a New Cartesian. In this study, the author develops an original reading of the Cartesian Meditation. This text, far from giving rise to a “Transcendental solipsism”, leads to a constitution of (...) intersubjectivity on various levels (“primordial”, “Intersubjective” et “Objective”). In its center, a “Phenomenological Construction” operates, i.e. a methodological piece that masters the genetic approach of intersubjectivity. Closely following the “almost mathematical” rigour of this crucial text of Husserl’s phenomenology, in this way equally tackles the issue of the constitution of the experience of the other and the truly intersubjective structure of transcendental subjectivity. This study concludes with the metaphysical results of the analysis of the experience of the other. (shrink)

This paper unravels an unprecedented interplay between board gender diversity (BGD) and corporate environmental, social, and governance (ESG) disputes among Chinese A-share-listed nonfinancial companies from 2017 to 2021. Framed within a knowledge-based and sensemaking perspective of institutional frameworks, the research not only illuminates the profound impact of internal (corporate governance ratings) and external (regional institutional development) institutional factors on this intricate relationship but also brings to light a paradigm-shifting revelation. The study employed a diverse set of empirical tests, ranging from (...) ordinary least squares regression to advanced methods such as the generalized method of moments, two-stage least squares, and propensity score matching, providing a nuanced and comprehensive analysis. The findings highlight the pivotal role of female directors in significantly mitigating ESG disputes. A mechanism analysis further uncovers that internal and external institutional quality are potent positive moderators in shaping the BGD–ESG dispute dynamic. This research has profound implications, providing valuable insights for stakeholders, policymakers, and scholars, offering a comprehensive understanding of how gender diversity fosters sustainability while unravelling the intricate tapestry of internal and external institutional dynamics that shape ESG outcomes. (shrink)

Introduction There is a paramount need for moral development for pharmacists and pharmacy students to practice the patient-centered profession. We aimed to explore the current situational judgment utilizing ethical reasoning among undergraduate pharmacy students. Methods A set of ten ethical dilemmas, representing potential real-life situations that the students come across in the university and may face in the future as a pharmacist were developed by a team of students, academic staff, and stakeholders. These ethical dilemmas were validated, checked for accuracy, (...) and piloted. An online questionnaire was created consisting of these ten scenarios as open-ended questions and administered to fourth year and fifth year PharmD students in a public university located at the city of Mecca, Saudi Arabia, asking them how they would react in that situation. Responses of the participants were analyzed using thematic analysis independently by four researchers and inter-rater agreement were achieved through consensus. Results Out of 205, 186 students completed the questionnaire with a response rate of 90.7%. Analysis and resulted in the generation of 32 codes, which were then categorized into seven overarching themes: student engagement, social and professional responsibility, academic integrity, legal obligation, moral obligation, signposting, and moral engagement and patient safety. Conclusions Undergraduate pharmacy students experience complex state of mind in connection with ethical reasoning. The participants’ situational judgment were driven by cultural norm, authority, and responsibility. Student engagement is also affected by the state of mind and feelings of mutual trust, perceived cultural influence and peer pressure. The students were prone to seek help from university administrators or teachers when faced with situations in which they were helpless. (shrink)

BackgroundMoral courage is the ability to defend and practice ethical and moral action when faced with a challenge, even if it means rejecting pressure to act otherwise. However, moral courage rema...

Urban Studies is an interdisciplinary and rapidly evolving field. The aim of this study is to assess the development of Urban Studies as an academic field from 2011 to 2019, by focusing on number of journals and articles, their openness, and their respective bibliometric indicators. A Scopus-based journal-level analysis and a Web of Science-based article-level analysis were performed. Publications from 2011 to 2019 were filtered for ‘Urban Studies’. In 2019, there were 193 Urban Studies journals compared to 83 journals in (...) 2011. The percentage of open access publications increased from 25.6% in 2011 to 45% in 2019. The number of yearly publications was 13,007 in 2011 and expanded to 36,805 in 2019. The number of open access journals significantly increased from 18 (22%) in 2011 to 69 (35.9%) in 2019 (p = 0.005). Institution-based and small publishers are leading the way toward open access journals; the number of open access journals are significantly greater than the number put out by mainstream large publishers. Urban studies is a rapidly evolving interdisciplinary field with different related fields contributing to its development. (shrink)

Prediction of daily rainfall is important for flood forecasting, reservoir operation, and many other hydrological applications. The artificial intelligence algorithm is generally used for stochastic forecasting rainfall which is not capable to simulate unseen extreme rainfall events which become common due to climate change. A new model is developed in this study for prediction of daily rainfall for different lead times based on sea level pressure which is physically related to rainfall on land and thus able to predict unseen rainfall (...) events. Daily rainfall of east coast of Peninsular Malaysia was predicted using SLP data over the climate domain. Five advanced AI algorithms such as extreme learning machine, Bayesian regularized neural networks, Bayesian additive regression trees, extreme gradient boosting, and hybrid neural fuzzy inference system were used considering the complex relationship of rainfall with sea level pressure. Principle components of SLP domain correlated with daily rainfall were used as predictors. The results revealed that the efficacy of AI models is predicting daily rainfall one day before. The relative performance of the models revealed the higher performance of BRNN with normalized root mean square error of 0.678 compared with HNFIS, BART, xgBoost, and ELM. Visual inspection of predicted rainfall during model validation using density-scatter plot and other novel ways of visual comparison revealed the ability of BRNN to predict daily rainfall one day before reliably. (shrink)

Based on the concepts of pseudocomplement of L -subsets and the implication operator where L is a completely distributive lattice with order-reversing involution, the definition of countable RL -fuzzy compactness degree and the Lindelöf property degree of an L -subset in RL -fuzzy topology are introduced and characterized. Since L -fuzzy topology in the sense of Kubiak and Šostak is a special case of RL -fuzzy topology, the degrees of RL -fuzzy compactness and the Lindelöf property are generalizations of the (...) corresponding degrees in L -fuzzy topology. (shrink)

The development of the Minimalist Program, Noam Chomsky's most recent generative model of linguistics, has been highly influential over the last twenty years. It has had significant implications not only for the conduct of linguistic analysis itself, but also for our understanding of the status of linguistics as a science. The reflections and analyses in this book contain insights into the strengths and the weaknesses of the MP. Among these are, a clarification of the content of the Strong Minimalist Thesis (...) ; a synthesis of Chomsky's linguistic and interdisciplinary discourses; and an analysis of the notion of optimal computation from conceptual, empirical and philosophical perspectives. This book will encourage graduate students and researchers in linguistics to reflect on the foundations of their discipline, and the interdisciplinary nature of the topics explored will appeal to those studying biolinguistics, neurolinguistics, the philosophy of language and other related disciplines. (shrink)

This article aims to read feminist new materialisms (Barad), together with ‘postulated’ linguistic or cultural primacy of Queer Theory (Butler), to show how both are engaged in similar critical-ethical endeavours. The central argument is that the criticism of Barad and new materialisms misses Butler’s materialistic insights due to a narrow interpretation of Butler's alleged social-constructivist position. There is, therefore, a specific focus on where they both make similar ethical appeals. Moreover, the article relies on Adorno's negative dialectic to highlight an (...) interpretation of Barad and Butler as being part of the same dialectical movement, in which materialism and idealism fluctuate in their mutual criticisms, thus continuing the procession towards 'new knowledge' and emancipation, or freedom, through their motions back and forth. (shrink)

The book challenges the values of much of contemporary bioethics and health care policy by confronting their failure to secure the moral norms they seek to apply.

Provability, Computability and Reflection.

Drought is a creeping phenomenon that slowly holds an area over time and can be continued for many years. The impacts of drought occurrences can affect communities and environments worldwide in several ways. Thus, assessment and monitoring of drought occurrences in a region are crucial for reducing its vulnerability to the negative impacts of drought. Therefore, comprehensive drought assessment techniques and methods are required to develop adaptive strategies that a region can undertake to reduce its vulnerability to drought substantially. For (...) this purpose, this study proposes a new method known as a regional comprehensive assessment of meteorological drought. The Standardized Precipitation Index, Standardized Precipitation Evapotranspiration Index, and Standardized Precipitation and Temperature Index are jointly used for the development of the RCAMD. Further, the RCAMD employs Monte Carlo feature selection and steady-state probabilities to comprehensively collect information from various stations and drought indices. Moreover, the RCAMD is validated on the six selected stations in the northern areas of Pakistan. The outcomes associated with the RCAMD provide a comprehensive regional assessment of meteorological drought and become the initial source for bringing more considerations to drought monitoring and early warning systems. (shrink)

This is the first complete, one-volume English translation of the ancient Chinese text Xunzi, one of the most extensive, sophisticated, and elegant works in the tradition of Confucian thought. Through essays, poetry, dialogues, and anecdotes, the Xunzi articulates a Confucian perspective on ethics, politics, warfare, language, psychology, human nature, ritual, and music, among other topics. Aimed at general readers and students of Chinese thought, Eric Hutton’s translation makes the full text of this important work more accessible in English than ever (...) before. Named for its purported author, the Xunzi has long been neglected compared to works such as the Analects of Confucius and the Mencius. Yet interest in the Xunzi has grown in recent decades, and the text presents a much more systematic vision of the Confucian ideal than the fragmented sayings of Confucius and Mencius. In one famous, explicit contrast to them, the Xunzi argues that human nature is bad. However, it also allows that people can become good through rituals and institutions established by earlier sages. Indeed, the main purpose of the Xunzi is to urge people to become as good as possible, both for their own sakes and for the sake of peace and order in the world. In this edition, key terms are consistently translated to aid understanding and line numbers are provided for easy reference. Other features include a concise introduction, a timeline of early Chinese history, a list of important names and terms, cross-references, brief explanatory notes, a bibliography, and an index. (shrink)

In developing countries, the patriarchal social construct, unsatisfactory legal protection, and underlying cultural bias against women have resulted in increasing intimate partner violence, which largely goes unaddressed, undocumented, and unreported in healthcare settings. This case study presents a common scenario of intimate partner violence and carefully analyzes its ethical implications in an emergency case at a tertiary care hospital in Karachi, Pakistan. In this study, basic ethical principles are used to discuss important ethical challenges faced daily by healthcare workers in (...) the medical, social, and legal context. It further highlights the dire need of patient education, safety, and a solid framework for addressing, documenting, and reporting intimate partner violence for healthcare workers. (shrink)

The Islamic finance industry is relatively new and vibrant. It is becoming a mainstream industry in the MENA. The industry is based on a number of Sharia’a maxims and in particular the prohibition of Riba. Islamic law scholars’ emphasis on the ethical dimension of this industry and how it can be seen as a solution to existing capitalism. The current financial crisis presented this industry with an unprecedented test and an opportunity to influence and merge into main stream finance. This (...) paper presents an evaluation of Islamic finance industry in the current financial crisis and whether the governance and ethical foundation of Islamic finance institutions distinguished itself from conventional finance. Thus, this paper begins with an overview of Islamic finance, then it discusses the governance framework structure of Islamic finance institutions and the role of its organs. In addition, this paper will compare between the ethical framework of the Islamic finance institutions and the conventional institutions. Finally, this paper will discover the ethical failure of the current global financial system and its relation with the current financial crisis. (shrink)

The development of transplantation technology increasingly places before society a multitude of diverse, complex ethical and legal problems. The subject is the more complex because of the various divergent interests involved. There are the interests of the donor of organs, who has a right to protection of his legal position, and those of the patient in need of an often lifesaving organ. There are also the interests of the donor’s relatives, after his death, and those of the transplantation surgeons. The (...) international dimension of transplantation technology makes the picture even more complicated. Though this article is devoted to the European situation, the problems are similar all over the world. (shrink)

The development of transplantation technology increasingly places before society a multitude of diverse, complex ethical and legal problems. The subject is the more complex because of the various divergent interests involved. There are the interests of the donor of organs, who has a right to protection of his legal position, and those of the patient in need of an often lifesaving organ. There are also the interests of the donor’s relatives, after his death, and those of the transplantation surgeons. The (...) international dimension of transplantation technology makes the picture even more complicated. Though this article is devoted to the European situation, the problems are similar all over the world. (shrink)

Catastrophic risk raises questions that are not only of practical importance, but also of great philosophical interest, such as how to define catastrophe and what distinguishes catastrophic outcomes from non-catastrophic ones. Catastrophic risk also raises questions about how to rationally respond to such risks. How to rationally respond arguably partly depends on the severity of the uncertainty, for instance, whether quantitative probabilistic information is available, or whether only comparative likelihood information is available, or neither type of information. Finally, catastrophic risk (...) raises important ethical questions about what to do when catastrophe avoidance conflicts with equity promotion. (shrink)

First published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.

First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.

This study described the relationships between academic class and student moral sensitivity and reasoning and between curriculum design components for ethics education and student moral sensitivity and reasoning. The data were collected from freshman (n = 506) and senior students (n = 440) in eight baccalaureate nursing programs in South Korea by survey; the survey consisted of the Korean Moral Sensitivity Questionnaire and the Korean Defining Issues Test. The results showed that moral sensitivity scores in patient-oriented care and conflict were (...) higher in senior students than in freshman students. Furthermore, more hours of ethics content were associated with higher principled thinking scores of senior students. Nursing education in South Korea may have an impact on developing student moral sensitivity. Planned ethics content in nursing curricula is necessary to improve moral sensitivity and moral reasoning of students. (shrink)

A promise to do some action seems to create a binding obligation to do that action. And yet, paradoxically, an obligation seems not to be a fact that we can create or bring into existence; we can create an obligation only by creating or bringing into existence something else. The only way to avoid the paradox is to show that the act of promising creates something other than an obligation, which nonetheless binds us to perform the action in question. After (...) considering and rejecting various options such as the promisee's expectation and the promisor's resolve, Prichard locates the bindingness of a promise in a prior general promise, which allows the noises we make when promising to generate an obligation to perform the promised action. (shrink)

What are 'emotions'? This book offers a balanced survey of facts and theory.

Science Without Numbers caused a stir in 1980, with its bold nominalist approach to the philosophy of mathematics and science. It has been unavailable for twenty years and is now reissued in a revised edition with a substantial new preface presenting the author's current views and responses to the issues raised in subsequent debate.

To the question ‘What does it mean to act or to do something?’, replies that it is not easy to identify a common character in actions. Begins by examining the position of Cook Wilson, who maintains that ‘to do something’ means to originate, cause, or bring into existence, either directly or indirectly, some not yet existing state either in oneself or some other body. Although Prichard agrees that usually action involves causing something, he observes that causing a change is not (...) itself an activity. In moving one's hand, one performs that indefinable mental activity of willing some change. The movement of the hand is the effect of the action, not the action itself, a fact overlooked by thinkers like Locke. Turning to the nature of the desire behind one's willing, Prichard rejects the view that this desire is actually a desire for the change willed. Despite forceful objections, Prichard maintains that this desire is the desire for the willing of that change. (shrink)

Suppose that a decision-maker's aim, under certainty, is to maximise some continuous value, such as lifetime income or continuous social welfare. Can such a decision-maker rationally satisfy what has been called "continuity for easy cases" while at the same time satisfying what seems to be a widespread intuition against the full-blown continuity axiom of expected utility theory? In this note I argue that the answer is "no": given transitivity and a weak trade-off principle, continuity for easy cases violates the anti-continuity (...) intuition. I end the note by exploring an even weaker continuity condition that is consistent with the aforementioned intuition. (shrink)

According to the orthodox treatment of risk preferences in decision theory, they are to be explained in terms of the agent's desires about concrete outcomes. The orthodoxy has been criticised both for conflating two types of attitudes and for committing agents to attitudes that do not seem rationally required. To avoid these problems, it has been suggested that an agent's attitudes to risk should be captured by a risk function that is independent of her utility and probability functions. The main (...) problem with that approach is that it suggests that attitudes to risk are wholly distinct from people's (non-instrumental) desires. To overcome this problem, we develop a framework where an agent's utility function is defined over chance propositions (i.e., propositions describing objective probability distributions) as well as ordinary (non-chance) ones, and argue that one should explain different risk attitudes in terms of different forms of the utility function over such propositions. (shrink)

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (shrink)

Many philosophers think that we should use a lottery to decide who gets a good to which two persons have an equal claim but which only one person can get. Some philosophers think that we should save identified persons from harm even at the expense of saving a somewhat greater number of statistical persons from the same harm. I defend a principled way of justifying both judgements, namely, by appealing to the decreasing marginal moral value of survival chances. I identify (...) four desiderata that, I contend, any such justification should satisfy, and explain how my account meets these desiderata, unlike some previous accounts. (shrink)