The objective of this research is to assess the impact of ethics on research productivity within laboratories of public universities. To achieve this objective, neural networks’ method is used to highlight impacting and impacted variable modalities. Findings show ethical variables having the greatest impact on research productivity are ethics supporting document and transparency, while the variables most impacted by ethics are publications and scientific projects. Finally, the originality of this work lies in the reconciliation of two dimensions that appear to (...) be irreconcilable a priori, namely, ethics which has a social connotation and productivity which has an economic connotation. It also resides in employing neural networks’ method, with is rarely used in social sciences. (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)

According to the Accreditation Board for Engineering and Technology, Inc. [ABET], 2019), any approved engineering program must provide the student with “an ability to recognize ethical and professi...

Background: Medical decision making is based on patient autonomy and informed consent, which is an integral part of medical ethics, risk management and clinical governance. Consent to treatment has been extensively discussed, but the viewpoint of patients is not well represented. A new consent form was introduced by the Department of Health in 2001.Aims: To determine the information most important to patients, to facilitate evidence-based guidelines and to provide a valid and reliable consent-procedure-satisfaction questionnaire.Methods: An anonymous quantitative survey was carried (...) out, asking 100 patients 15 questions regarding procedures they may need to undergo, using a Visual Analogue Scale to test the importance of each question.Results and discussion: In total there were 77 respondents and the mean age was 48.8 years. There were 52% women and 48% men. Major complications, such as not undergoing the procedure, future management and long-term effect on work, all scored a median of 95%. Least concerns were related to technical details of the procedure and minor complications . All other questions were still considered important . No significant differences were observed between sex, age and professional groups, but a significant difference was observed between the education groups. Qualifications of the doctor did not correlate to any other question.Conclusions: This questionnaire is proposed as a basis for informed consent guidelines to health workers and for measures of satisfaction with the consent procedure. (shrink)

ḥeleḳ 1. Kolel azharot ṿe-liḳuṭe dinim neḥutsim mi-Shu. ʻa. ṿe-aḥaronim ... -- ḥeleḳ 2. Ka-n.l. be-hosafat harbeh segulot le-yirʼat Shamayim ule-farnasah ... .

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)

Based on a survey of 237 managers in Singapore, three measures of organizational ethics (namely, top management support for ethical behavior, the organization''s ethical climate, and the association between ethical behavior and career success) are found to be associated with job satisfaction. The link between organizational ethics and job satisfaction is argued from Viswesvaran et al.''s (1998) organizational justice and cognitive dissonance theories. The findings imply that organizational leaders can favorably influence organizational outcomes by engaging in, supporting and rewarding ethical (...) behavior. (shrink)

This article investigates the impacts of proper modeling of the wake effects and wind speed delays, between different wind turbines' rows, on the dynamic performance accuracy of the wind farms models. Three different modeling scenarios were compared to highlight the impacts of wake effects and wind speed time-delay models. In the first scenario, wind wake effect and time delay are ignored. Consequently, all wind turbines are assumed subjected to the same wind speed profile. The second scenario considers the wind wake (...) effect, and it was modeled by reducing the incident wind speed values by 0.5 m/s from one row to the next row facing the wind. The last scenario, the proposed model, used the wind wake effect model developed for wind turbines micrositting applications and considered the effect of the delay time between the wind speed profiles incident on the different wind turbines' rows. (shrink)

In this paper, some novel analytical and numerical techniques are introduced for solving and analyzing nonlinear second-order ordinary differential equations that are associated to some strongly nonlinear oscillators such as a quadratically damped pendulum equation. Two different analytical approximations are obtained: for the first approximation, the ansatz method with the help of Chebyshev approximate polynomial is employed to derive an approximation in the form of trigonometric functions. For the second analytical approximation, a novel hybrid homotopy with Krylov–Bogoliubov–Mitropolsky method is introduced (...) for the first time for analyzing the evolution equation. For the numerical approximation, both the finite difference method and Galerkin method are presented for analyzing the strong nonlinear quadratically damped pendulum equation that arises in real life, such as nonlinear phenomena in plasma physics, engineering, and so on. Several examples are discussed and compared to the Runge–Kutta numerical approximation to investigate and examine the accuracy of the obtained approximations. Moreover, the accuracy of all obtained approximations is checked by estimating the maximum residual and distance errors. (shrink)

The engineering profession has experienced some ethical cases that were rarely reported, scrutinized, or discussed because: they did not necessarily represent violations of existing codes even if they breached ethical principles; those within the organization were not prepared to take steps to address the issues or impose sanction; an/or some of the personnel associated with these cases resorted to silence to avoid being labeled as trouble-makers in their organizations and, perhaps, more broadly, in society. The goal of this paper is (...) to heighten managerial awareness of ethical issues, interrelated ethical lapses, and appropriate responsive actions within professional engineering communities. As such, the authors reviewed recent well-known professional and organizational ethical cases including impact of leadership role and existing standards, and critically analyzed interrelated literature. The paper’s case studies exemplify that because ethical issues are complex, intricate, and nuanced; bylaws are insufficient for establishing the inclusive culture for handling potential ethical situations. In fact, through what is known as the codification of ethics, it is possible that someone’s conduct can totally fulfill all professional responsibilities but still be unethical. As such, ethical leadership is needed to provide the means for establishing appropriate norms so as to set the proper structures for addressing the diverse ethical matters. Perceptions about the responses of leaders to potential ethical lapses are a critical factor in formulating, changing, and maintaining ethical values at the individual and organizational levels. A leader’s passive attitude toward ethical issues can be the signal for the ignored lapses to become the norm at not only the organizational level but also the society. Guided by the new Code of Ethics by the American Society of Civil Engineers, this paper aims to trigger the proper ethical behavior and expectations for the welfare of the engineering profession both in the present and future. (shrink)

An academic anthology on Jewish studies and education in memory of dr. Avraham Zalkin.

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)

Statistical distributions play a prominent role for modeling data in applied fields, particularly in actuarial, financial sciences, and risk management fields. Among the statistical distributions, the heavy-tailed distributions have proven the best choice to use for modeling heavy-tailed financial data. The actuaries are often in search of such types of distributions to provide the best description of the actuarial and financial data. This study presents a new power transformation to introduce a new family of heavy-tailed distributions useful for modeling heavy-tailed (...) financial data. A submodel, namely, heavy-tailed beta-power transformed Weibull model is considered to demonstrate the adequacy of the proposed method. Some actuarial measures such as value at risk, tail value at risk, tail variance, and tail variance premium are calculated. A brief simulation study based on these measures is provided. Finally, an application to the insurance loss dataset is analyzed, which revealed that the proposed distribution is a superior model among the competitors and could potentially be very adequate in describing and modeling actuarial and financial data. (shrink)

In the last decade, reading research has seen a paradigmatic shift. A new wave of computational models of orthographic processing that offer various forms of noisy position or context-sensitive coding have revolutionized the field of visual word recognition. The influx of such models stems mainly from consistent findings, coming mostly from European languages, regarding an apparent insensitivity of skilled readers to letter order. Underlying the current revolution is the theoretical assumption that the insensitivity of readers to letter order reflects the (...) special way in which the human brain encodes the position of letters in printed words. The present article discusses the theoretical shortcomings and misconceptions of this approach to visual word recognition. A systematic review of data obtained from a variety of languages demonstrates that letter-order insensitivity is neither a general property of the cognitive system nor a property of the brain in encoding letters. Rather, it is a variant and idiosyncratic characteristic of some languages, mostly European, reflecting a strategy of optimizing encoding resources, given the specific structure of words. Since the main goal of reading research is to develop theories that describe the fundamental and invariant phenomena of reading across orthographies, an alternative approach to model visual word recognition is offered. The dimensions of a possible universal model of reading, which outlines the common cognitive operations involved in orthographic processing in all writing systems, are discussed. (shrink)