In this article, we consider estimation of the parameters of a generalized Pareto distribution and some lifetime indices such as those relating to reliability and hazard rate functions when the failure data are progressive first-failure censored. Both classical and Bayesian techniques are obtained. In the Bayesian framework, the point estimations of unknown parameters under both symmetric and asymmetric loss functions are discussed, after having been estimated using the conjugate gamma and discrete priors for the shape and scale parameters, respectively. In (...) addition, both exact and approximate confidence intervals as well as the exact confidence region for the estimators are constructed. A practical example using a simulated data set is analyzed. Finally, the performance of Bayes estimates is compared with that of maximum likelihood estimates through a Monte Carlo simulation study. (shrink)

Essays on The Soul's Logical Life in the Work of Wolfgang Giegerich: Psychology as the Discipline of Interiority is the second collection of essays dedicated to the study and application of Psychology as the Discipline of Interiority - a new 'wave' within Analytical Psychology which pushes off from the work of C. G. Jung and James Hillman. Reflecting upon the notion of psychology developed by German psychoanalyst Wolfgang Giegerich, whose Hegelian turn sheds light on the notion of soul, or the (...) objective psyche, and its inner logic and 'thought', forming a radical new basis from which to ground a modern psychology with soul. The book explores the theme of "the soul's logical life" as it displays itself in various modern phenomena, from overwhelming anxiety, cryptocurrency, the dreams of Japanese college students, and contemporary psychoanalysis, to myth, music, social movements, and the question and relevance of truth in psychology and consciousness. The authors, comprising clinical psychologists, teachers, Jungian analysts, and international scholars, aim to reveal and convey the dialectical inner workings and speculative logic of the modern soul. Essays on The Soul's Logical Life in the Work of Wolfgang Giegerich: Psychology as the Discipline of Interiority will be essential reading for depth and clinical psychologists, Jungian psychoanalysts, and academics and students of post-Jungian studies, and for all those interested in what it means to think in the highly sophisticated and technological world of the twenty-first century. (shrink)

The ISA, based on system theory, is the best way to organize knowledge and exchange it. It depends on defining every system through its boundary, main processes within this boundary, and exchange with the environment through this boundary. It relies upon thermodynamics and information theory and is, therefore, applicable to all kinds of systems, which makes it most suitable for cross-disciplinary investigations and innovation. SD is complex and cross-disciplinary by its very nature and, therefore, the ISA is the best way (...) to investigate its different subsystems. Among the most important subsystems of SD are integrated bio-refineries and bio-fuels, both of which are investigated in this article. (shrink)

Following the same procedure that allowed Shcrödinger to construct the (canonical) coherent states in the first place, we investigate on a possible classical interpretation of the deformed harmonic oscillator. We find that, these oscillator, also called q-oscillators, can be interpreted as quantum versions of classical forced oscillators with a modified q-dependant frequency.

This article explores the concept of internationally acceptable codes of ethics within the context of an Egyptian nurse’s PhD studies. Theoretical work, including gaining ethical approval for the project, took place in the UK, while the data collection phase of the study was done in Egypt. This highlighted areas where the Arab Muslim interpretation of some ethical principles, especially around the issue of gaining informed consent, differed from that currently accepted in British research ethics. The authors argue that it may (...) not be possible, or even desirable, to standardize codes of ethics globally in areas such as academic research. Ethical principles develop from a unique mix of culture and religion. It may be more important to develop cultural competence that includes the ability to understand and respect the way in which ethical principles are interpreted by various societies. (shrink)

We investigate and analyze the dynamics of hepatitis B with various infection phases and multiple routes of transmission. We formulate the model and then fractionalize it using the concept of fractional calculus. For the purpose of fractionalizing, we use the Caputo–Fabrizio operator. Once we develop the model under consideration, existence and uniqueness analysis will be discussed. We use fixed point theory for the existence and uniqueness analysis. We also prove that the model under consideration possesses a bounded and positive solution. (...) We then find the basic reproductive number to perform the steady-state analysis and to show that the fractional-order epidemiological model is locally and globally asymptotically stable under certain conditions. For the local and global analysis, we use linearization, mean value theorem, and fractional Barbalat’s lemma, respectively. Finally, we perform some numerical findings to support the analytical work with the help of graphical representations. (shrink)

This book intends to introduce readers to the work of Charles E. Butterworth, and thereby to introduce students to Medieval islamic political philosophy, of which Butterworth is one of the world's most prominent scholars. In a wider sense, the Festschrift introduces its readers to the current debates on Medieval islamic political philosophy, related as they are to the questions of the relationship between islam and Christianity, the Medieval to the Modern world, and reason and revelation. Butterworth's scholarship spans six decades, (...) primarily translating, editing, and interpreting the works of the Muslim political philosopher Alfarabi (d. 950) and Averroes (Ibn Rushd, d. 1198). He began his studies of Muslim political philosophy at a time when the Middle East and islam did not have the political salience they have acquired in more recent years. instead, Butterworth's reason for engaging with islam was rooted in the question of the relationship between reason and revelation. While one possible answer was pursued in the Christian, latin West, the islamic borderlands of Greek, Roman, and Muslim civilization offered another. By exploring Averroes, who provides the possibility of an Aristotelian-Islamic political philosophy, and Alfarabi, who pursues a Platonic-islamic political philosophy, Butterworth showed how islamic civilization provided a viable alternative to the theologico-political question reason v revelation, as well as serving as an inspiration to the latin West. (shrink)

The extended reduced Kies distribution, which is an asymmetric flexible extension of the reduced Kies distribution, is the subject of this research. Some of its most basic mathematical properties are deduced from its formal definitions. We computed the ExRKD parameters using eight well-known methods. A full simulation analysis was done that allows the study of these estimators’ asymptotic behavior. The efficiency and applicability of the ExRKD are investigated via the modeling of COVID-19 and milk data sets, which demonstrates that the (...) ExRKD delivers a better match to the data sets when compared to competing models. (shrink)

The lung allocation score system in the United States and several European countries gives more weight to risk of death without transplantation than to survival following transplantation. As a result, centers transplant sicker patients, leading to increased length of initial hospitalization. The care of patients who have accumulated functional deficits or additional organ dysfunction during their prolonged stay can be ethically complex. Disagreement occurs between the transplant team, patients and families, and non-transplant health care professionals over the burdens of ongoing (...) intensive intervention. These cases highlight important ethical issues in organ transplantation, including the nature and requirements of transplant informed consent, the limits of physician prognostication, patient autonomy and decision-making capacity following transplant, obligations to organ donors and to other potential recipients, and the impact of program metrics on individualized recipient care. We outline general ethical principles for the care of lung transplant recipients with prolonged hospitalization and give regulatory, research, and patient-centered recommendations for these cases. (shrink)

This article revisits a reduced model of cardiac electro-physiology which was proposed to understand the genesis of unidirectional block pathology and of ectopic foci. We underline some specificities of the model from the viewpoint of dynamical systems and bifurcation theory. We point out that essentially the same properties are shared by a simpler system more accessible to analysis. With this simpler system, it becomes possible to give a new presentation of the phenomenon in a phase plane with time moving slow (...) manifolds. This presentation can be of interest both for cardiac electro-physiologists and for mathematicians. (shrink)

Currently there are persistent doubts about the meaning and contributions of the gene concept, mostly related to its interpretation as a stretch of DNA encoding a single functional product, i.e., the classical molecular gene concept. There is, however, much conceptual variation around genes, leading to important difficulties in genetics teaching. We investigated whether and how conceptual variation related to the gene concept and gene function models is present in school science and what potential problems it may bring to genetics teaching (...) and learning. Here, we report results on how ideas about genes and gene function are treated in textbooks and appear in students’ views and, also, about a teaching strategy for improving higher education students’ understanding of scientific models and conceptual variation around genes and their functions. (shrink)

This research implements a recent evolutionary-based algorithm of equilibrium optimizer to resolve the constrained combined economic emission dispatch problem. This problem has two objective functions that represent the minimizing of generation costs and minimizing the emission of environmental pollution caused by generators. The proposed algorithm integrates the dominant criteria for multiobjective functions that allow the decision-maker to detect all the Pareto boundaries of constrained combined economic emission dispatch problem. In order to save the effort for the decision-maker to select the (...) best compromise alternative, a cluster study was carried out to minimize the size of the Pareto boundary to an acceptable size, representing all the characteristics of the main Pareto frontier. On the other hand, in order to deal with the infringement of constraints, a repair algorithm was used to preserve the viability of the particles. The proposed algorithm is applied to solve the standard 30-bus IEEE system with 6 generators to validate its robustness and efficiency to produce a well-distributed Pareto frontier for constrained combined economic emission dispatch problem. Compared with other studies, good results in solving constrained combined economic emission dispatch problem are obtained and a reasonable reduced Pareto set is found. (shrink)

Water quality control helps in the estimation of water bodies and detects the span of pollutants and their effect on the neighboring environment. This is why the water quality of the northern part of Lake Manzala has been studied here from January to March, 2016. This study aims to model and create a program for linear and nonlinear regression of the water elements in Lake Manzala to assess and predict the water quality. Water samples have been extracted from various depths, (...) and physio-chemical properties and heavy metal concentrations have been evaluated. This study has proposed a new algorithm for predicting water quality called “Algorithm of Estimation Regression Model”. On the contrary, in renewable energy applications, statistical modeling and forecasting the solar radiation remains a significant issue with detect to reinforce power management. A new proposed method for forecasting the average Monthly Global Solar Energy in Queensland, Australia, is called, Converting Data Set into Markov Model. It was used to obtain Markov transition probability matrices for three and six states of the solar energy. The proposed forecasting method yielded accurate results with minimal error. (shrink)

When the first r lower extreme order statistics of a sample of large size n, 1 < r < s < n, are observed, asymptotic predictive intervals of the future extreme order statistic with a rank s are constructed. The only assumption that we adopt is that the first failure time is attracted to the Weibull distribution. In addition, we suggest an efficient point estimator of its shape parameter and then a confidence interval is constructed for it. Moreover, new interesting (...) asymptotic properties of the distributions that belong to the minimum domain of attraction of the Weibull distribution are revealed. Furthermore, extensive simulation studies are conducted to demonstrate the efficiency of the proposed methods. Two real datasets are analyzed to illustrate and corroborate the obtained results. The main results concern large samples. (shrink)

The aim of this article is to present a chaotic fruit fly algorithm as an optimization approach for solving engineering design problems. In CFFA, the fruit fly algorithm, which is recognized for its durability and efficiency in addressing optimization problems, was paired with the chaotic local search method, which allows for local exploitation. CFFA will be set up to work in two phases: in the first, FFA will be used to discover an approximate solution, and in the second, chaotic local (...) search will be used to locate the optimal solution. As a result, CFFA can address difficulties associated with the basic FFA such as falling into local optima, an imbalance between exploitation and exploration, and a lack of optimum solution acquisition. The chaotic logistic map is employed in the CLS because it has been demonstrated to be effective in improving the quality of solutions and giving the best performance by many studies. The proposed algorithm is tested by the set of CEC’2005 special sessions on real parameter optimization and many EDPs from the most recent test suite CEC’2020. The results have demonstrated the superiority of the proposed approach to finding the global optimal solution. Finally, CFFA′s results were compared to those of earlier research, and statistical analysis using Friedman and Wilcoxon's tests revealed its superiority and capacity to tackle this type of problem. (shrink)

The ternary xV2O5–(40 − x)Li2O–60B2O3 glass system, where x = 1, 2, 3, 4 and 6 mol%, was prepared by normal quenching. Ultrasonic velocities and attenuation were measured at room temperature using a pulse-echo technique. Various parameters, such as elastic moduli, micro-hardness, Poisson's ratio and Debye temperature, were determined from the measured densities and velocities. The composition dependence of these parameters, in addition to the glass-transition temperature, suggested that vanadium ions were incorporated into these glasses as a network modifier, resulting (...) in the reconversion of BO4 tetrahedra to BO3 triangles by the breaking of B–O–B linkages and the formation of nonbridging oxygens (NBOs). The outcome was a reduction in network connectivity and rigidity with increasing V2O5 content. The results are explained quantitatively in terms of fractal bond connectivity, average atomic volume, network dimensionality, packing density, number of network bonds per unit volume, cross-link density and atomic ring size. The Makishima and Mackenzie model appears to be valid for the studied glasses when the fate of BO4 tetrahedra and creation of NBOs are taken into account. (shrink)

When the first r lower extreme order statistics of a sample of large size n, 1 < r < s < n, are observed, asymptotic predictive intervals of the future extreme order statistic with a rank s are constructed. The only assumption that we adopt is that the first failure time is attracted to the Weibull distribution. In addition, we suggest an efficient point estimator of its shape parameter and then a confidence interval is constructed for it. Moreover, new interesting (...) asymptotic properties of the distributions that belong to the minimum domain of attraction of the Weibull distribution are revealed. Furthermore, extensive simulation studies are conducted to demonstrate the efficiency of the proposed methods. Two real datasets are analyzed to illustrate and corroborate the obtained results. The main results concern large samples. (shrink)

The current study tries to verify the effectiveness of a training program in increasing Crowdfunding awareness. The sample was (50) students in CIS, who were purposively selected and distributed equally into a treatment and control group. The researchers designed the study tools (a training program to increase Crowdfunding awareness). The study findings revealed the existence of statistically significant differences between the treatment and control groups in favor of the former. Furthermore, there were statistically significant differences between the pre and the (...) post measures of the treatment group in favor of the post measures. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study for Crowdfunding training program in Arabic world. (shrink)

We study the existence of weak solutions for the coupled system of functional integral equations of Urysohn-Stieltjes type in the reflexive Banach spaceE. As an application, the coupled system of Hammerstien-Stieltjes functional integral equations is also studied.

Background The nursing profession requires ethical and legal regulations to guide nurses’ performance. Ethical climate plays a part in shaping nurses’ ethical practice. Therefore, ethico-legal aspects and ethical climate contribute to improving nurses’ ethical practice and competencies with reducing medical errors in hospital settings. Objective This study examined the effect of ethico-legal aspects and ethical climate on managing safe patient care and medical errors among nurses. Materials and methods A cross-sectional correlational study was carried out on 548 nurses. Data were (...) collected through self-administered questionnaires about nurses’ knowledge in both ethical and legal aspects, ethical practice, competencies, ethical climate and experience with medical error. Results The main sources of nurses’ knowledge of ethical and legal aspects were undergraduate lectures, job experience and colleagues. Nurses’ knowledge in both ethical and legal aspects, nurses’ ethical practice and competencies were insufficient. Nurses fairly perceived their ethical climate. Also, nurses experienced medical errors about 22.6% in their units. Nurses’ knowledge of ethical and legal aspects, as well as the ethical climate were positive predictors of inadequate nurses’ ethical practice and competencies. Additionally, nurses’ knowledge in both ethical and legal aspects, ethical climate and practice had a negative influence on the occurrence of medical errors. Conclusion Enhancing nurses’ knowledge in both ethical and legal aspects as well as ethical climate could significantly influence improving nurses’ ethical practice, competencies and reducing medical errors in the study units. Therefore, planning for enhancing the nurses’ ethico-legal learning and ethical climate seems to be mandatory. (shrink)

The neutrosophic cubic hesitant fuzzy set can efficiently handle the complex information in a decision-making problem because it combines the advantages of the neutrosophic cubic set and the hesitant fuzzy set. The algebraic operations based on Dombi norms and co-norms are more flexible than the usual algebraic operations as they involve an operational parameter. First, this paper establishes Dombi algebraic operational laws, score functions, and similarity measures in neutrosophic cubic hesitant fuzzy sets. Then, we proposed Dombi exponential operational laws in (...) which the exponents are neutrosophic cubic hesitant fuzzy values and bases are positive real numbers. To use neutrosophic cubic hesitant fuzzy sets in decision-making, we are developing Dombi exponential aggregation operators in the current study. In the end, we present applications of exponential aggregation operators in multiattribute decision-making problems. (shrink)

The current study aimed to highlight the factors that may influence teachers' psychological resistance to digital technologies in entrepreneurship and business schools. Theoretically grounded in the diffusion of innovations theory and the theory of planned behavior, the current research investigates teachers' psychological resistance to digital innovation, school culture and climate, and moderation of teacher attitudes toward educational technologies. A cross-sectional field survey of 600 business and entrepreneurship school teachers was conducted in Jordan. In this study, partial least square-structural equation modeling (...) was used to assess the variables' “direct and moderating impacts” using the Smart PLS software 3.0. According to the results, school culture and school innovation climate had a considerable positive impact on teachers' resistance to digital innovation. Additionally, teachers' attitudes toward educational technologies moderated the relationship between study constructs in the framework. The study is a significant advance to the literature related to entrepreneurship, business education, and digital innovation. Several key policy insights and recommendations for further research, as well as theoretical and practical implications, are suggested. (shrink)

This paper proposes a Cournot game organized by three competing firms adopting bounded rationality. According to the marginal profit in the past time step, each firm tries to update its production using local knowledge. In this game, a firm’s preference is represented by a utility function that is derived from a constant elasticity of substitution production function. The game is modeled by a 3-dimensional discrete dynamical system. The equilibria of the system are numerically studied to detect their complex characteristics due (...) to difficulty to get an explicit form for those equilibria. For the proposed utility function, some cases with different value parameters are considered. Numerical simulations are used to provide an experimental evidence for the complex behavior of the evolution of the system. The obtained results show that the system loses its stability due to different types of bifurcations. (shrink)