According to a widely credited model in the business ethics literature, ethical decisions are a function of two kinds of factors, personal(individual) and situational, and these factors interact with each other. According to a contrary view of decision making that is widely held in some areas of business research, individuals’ decisions about ethical issues (and subsequent actions) are purely a function of their self-interest.The laboratory experiment reported in this paper provides a test of the person-situation interactionist model, using the general (...) theoretical and experimental framework used in the experimental economics literature. One individual and two situational factors relating to moral intensity were examined which may influence decisions to misrepresent information in the course of business activities.The individual and one situational variable were significantly related to participants’ actions. The interactions among individual andsituation variables were not individually significant, although the model including interactions had a much higher level of statistical significance. Gender was significant, both directly and in interaction with moral development, suggesting that it may be worthy of further examination. (shrink)

According to a widely credited model in the business ethics literature, ethical decisions are a function of two kinds of factors, personal(individual) and situational, and these factors interact with each other. According to a contrary view of decision making that is widely held in some areas of business research, individuals’ decisions about ethical issues (and subsequent actions) are purely a function of their self-interest.The laboratory experiment reported in this paper provides a test of the person-situation interactionist model, using the general (...) theoretical and experimental framework used in the experimental economics literature. One individual and two situational factors relating to moral intensity were examined which may influence decisions to misrepresent information in the course of business activities.The individual and one situational variable were significantly related to participants’ actions. The interactions among individual andsituation variables were not individually significant, although the model including interactions had a much higher level of statistical significance. Gender was significant, both directly and in interaction with moral development, suggesting that it may be worthy of further examination. (shrink)

Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory, numerous methods have been studied and suggested/introduced to increase the flexibility level of the traditional probability distributions. In this paper, we implement different distribution methods to obtain five new different versions of the inverse Weibull model. The new modifications of the inverse Weibull model are called the logarithm transformed-inverse (...) Weibull, a flexible reduced logarithmic-inverse Weibull, the weighted TX-inverse Weibull, a new generalized-inverse Weibull, and the alpha power transformed extended-inverse Weibull distributions. To illustrate the flexibility and applicability of the new modifications of the inverse Weibull model, a biomedical data set is analyzed. The data set consists of 108 observations and represents the mortality rate of the COVID-19-infected patients. The practical application shows that the new generalized-inverse Weibull is the best modification of the inverse Weibull distribution. (shrink)

Business relations rely on shared perceptions of what is acceptable/expected norms of behavior. Immense expansion in transnational business made rudimentary consensus on acceptable business practices across cultural boundaries particularly important. Nonetheless, as more and more nations with different cultural and historical experiences interact in the global economy, the potential for misunderstandings based on different expectations is magnified. Such misunderstandings emerge in a growing literature on "improper" business practices – articulated from a narrow cultural perspective. This paper reports an ongoing research (...) on the cultural and contextual aspects of business ethics. The objective is to investigate how the perception/attitudes of business students towards the ethical dimension of doing business varies in different countries; Whether there are socio-cultural factors that influence the perception of ethicality in business practices. Research findings among business students in six countries: China, Egypt, Finland, Korea, Russia, and the U.S.A. are reported. While all groups had basic agreement on what constitutes ethical business practices, differences are found in the respondents'' tolerance to damage resulting from "unethical" behavior. Without underestimating the role of national culture, variations in research results also point to the importance of current socio-political developments in the relevant countries. Implications for business teaching and management development are discussed. (shrink)

In early 2020 COVID-19 turned the whole world into place of horror, capitals into ghost-towns, and hospitals into tombs. But this was not the first time the world was hit by such a catastrophic pandemic. Many countries have hit by innumerable plagues, epidemics and pandemics. It is important to keep these terrible incidents in the collective memory so that precautions are taken and they do not happen again. In 1947, a huge spread of cholera hit Egypt leaving thousands of death (...) and infected as well as a disastrous impact on the socio-economic life of the country. Writer Andrée Chedid sheds light on this epidemic in her novel The Sixth Day, which discusses a wide range of issues at a time when class division dominated in the country. The novel is a testimony to the poor medical condition of the Egyptian countryside. (shrink)

Arab and English cultures are incongruent, where the former is greatly influenced by religion when compared to the latter. This study focuses on court interpreting from Arabic into English and questions the interpreters’ objectivity when rendering religious and cultural expressions, bearing in mind that certain cultures, like the Arab and Muslim ones, have significant religious ties. To this end, fifteen transcripts were randomly collected from Canadian court hearings. The analysis showed that interpreting religious and cultural expressions can be complex, especially (...) when the original speaker attempts to transmit a notion that may have negative implications in the target language. The results also showed that court interpreters either added explanations to religious and cultural expressions or omitted them. Such additions and omissions may be used to avoid negative stereotypes other cultures have about Muslims and Arabs. The study recommends that future researchers interested in legal interpreting consider the non-verbal factors that can be observed during court hearings. The study suggests allocating extensive training sessions to interpreters on how to impartially render culture-bound expressions, mainly in the legal context. (shrink)

The standardized precipitation index is one of the most widely used indices for characterizing and monitoring drought in various regions. SPI's applicability has regional and time-scale constraints when it observes in several homogeneous climatic regions with similar characteristics. It also does not provide sufficient knowledge about precipitation deficits and the spatiotemporal evolution of drought. Therefore, a new method, the regional spatially agglomerative continuous drought probability monitoring system, is proposed to obtain spatiotemporal information and monitor drought characteristics more expeditiously. The proposed (...) framework uses spatially agglomerative precipitation and copulas’ functions to continuously monitor the drought probability in the homogenous region. The RSACDPMS is validated in the region of the Northern area of Pakistan. The outcomes of the current study provide a better quantitative way to obtain appropriate information about precipitation deficits and the spatiotemporal evolution of drought. (shrink)

There is a major transformation taking place in the Arab and Muslim worlds. People in these nations are poised on the edge of a significant new social landscape. Called the Internet, this new frontier not only includes the creation of new forms of private communication, like electronic mail and chat, but also webbased forums, which for the first time enables public discussion between males and females in conservative societies. This paper has been written as a result of an ethnographic study (...) conducted in Saudi Arabia during the period 2001‐2002. The purpose of the study was to understand how online communities in Saudi Arabia are affecting people. The results of the study indicate that while participants to a large extent used online communities in accordance with their cultural values, norms and traditions, the communication medium and the features associated with it, such as the anonymity and lack of social cues, have affected them considerably. For example, many participants became more flexible in their thinking, more aware of the diverse nature of people within their society, less inhibited about the opposite gender, and more self‐confident. On the other hand, participants neglected their family commitments, became less shy and some became confused about some aspects of their culture and religion. These findings and their implications for the Arab and Muslim worlds will be highlighted in this paper. (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)

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)

This study used a laboratory experiment with monetary incentives to test the impact of three personal factors (moral reasoning, value orientation and risk preference), and three situational factors (the presence/absence of audits, tax inequity, and peer reporting behavior), while controlling for the impact of other demographic characteristics, on tax compliance. Analysis of Covariance (ANCOVA) reveals that all the main effects analyzed are statistically significant and robustly influence tax compliance behavior. These results highlight the importance of obtaining a proper understanding of (...) these factors for developing effective policies for increasing the level of compliance, and indicate that standard enforcement polices based on punishment alone should be supplemented by an information system that would acquaint tax payers with the compliance level of other tax payers; reinforce the concept of fairness of the tax system among tax payers; and develop programs that enhance and appeal to a taxpayer's moral conscience and reinforce social cohesion. (shrink)

In recent years, network security has become a major concern. Using the Internet to store and analyze data has become an integral aspect of the production and operation of many new and traditional enterprises. However, many enterprises lack the necessary resources to secure information security, and selecting the best network security service provider has become a real issue for many enterprises. This research introduces a novel decision-making method utilizing the 2-tuple linguistic complex q-rung orthopair fuzzy numbers to tackle this issue. (...) We propose the 2TLCq-ROF concept by combining the complex q-rung orthopair fuzzy set with 2-tuple linguistic terms, including the fundamental definition, operational rules, scoring, and accuracy functions. Aggregation operators are the fundamental mathematical approach used to combine various inputs into a single output. Taking into account the interaction between the attributes, we develop the 2TLCq-ROF Hamacher operators by using the innovative operational rules. These operators include the 2TLCq-ROFH weighted average, 2TLCq-ROFH ordered weighted average, 2TLCq-ROFH hybrid average, 2TLCq-ROFH weighted geometric, 2TLCq-ROFH ordered weighted geometric, and 2TLCq-ROFH hybrid geometric operators. In addition, we talk about the properties of 2TLCq-ROFH operators such as idempotency, commutativity, monotonicity, and boundedness and also examine their spatial cases. To tackle the problems of the 2TLCq-ROF multiattribute group decision-making environment, we develop a novel approach according to the COPRAS model. Finally, to validate the feasibility of the given strategy, we employ a quantitative example related to select the best network security service provider. In comparison with existing approaches, the developed decision-making algorithm is most extensively used and reduces the loss of information. (shrink)

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)

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 key problems and challenges connected with the Covid-19 pandemic in the field of education in sub-Saharan Africa are described in this paper. The study is based on the information collected from teachers and parents during the lockdown. The main problems connected with the organization of distance learning, such as the availability and accessibility of electricity and stable communications, were described. The main questions connected with the support of e-learning such as unequal access to distance education platforms and tools and (...) readiness of teachers of public and private schools were described. Key social and demographic challenges and threats to sustainable e-learning, such as critical overload of teachers, child mobilization for domestic tasks, age, ethnic and gender-based harassment and violence were analyzed. It was found that the main risks are the rapid and uncontrolled commercialization of education and the decline of public schools, which leads to a decrease in the quality of education and increasing inequality. It was concluded that pandemic-induced risks in education are non-linear and heterogeneously spatially, temporally, and socially distributed. The successful strategy of these risks reduction aimed at sustainable education should be based on transition plans, which must include not only the development of sustainable education but also the fighting against inequality. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Research has shown high levels of housing precarity among government-assisted refugees connected to difficult housing markets, limited social benefits, and other social and structural barriers to positive settlement. The COVID-19 pandemic has likely exacerbated this precarity. Research to date demonstrates the negative consequences of the COVID-19 pandemic for refugees and low-income households, including both health-related issues and economic challenges, that may exacerbate their ability to obtain affordable, suitable housing. In this context, we examined Syrian government-assisted refugees’ experiences during the pandemic, (...) asking: how the COVID-19 pandemic has impacted Syrian refugees’ experiences of housing stability. To examine this issue, we interviewed 38 families in Calgary, London, and Fredericton. Using a qualitative descriptive methodology for analysis and interpretation, we found the liminality of settling as a GAR has been compounded by isolation, further economic loss, and new anxieties during the pandemic. Ultimately, for many participants, the pandemic has thwarted their housing stability goals and decreased their likelihood of improving their housing conditions. Based on our findings, we discuss potential policy and practice relevant solutions to the challenges faced by refugees in Canada during the pandemic and likely beyond. (shrink)

Mr. A's physician recommends immediate dialysis. However, Mr. A is in the United States illegally, has no family living in the area, and is unemployed. The Emergency Medical Treatment and Labor Act requires the hospital not only to examine Mr. A, but to provide him with any needed stabilizing treatment without considering his lack of insurance coverage or ability to pay. The needed treatment to stabilize Mr. A is dialysis. Therefore, the physician admits him and starts dialysis. But Mr. A (...) will need to continue dialysis indefinitely. Because he has no insurance and is an illegal immigrant, he is not eligible for any outpatient dialysis units. He is also unable to afford any medical treatments. Once Mr. A is stabilized, should he be discharged? His physician and social worker turn to the hospital ethics committee for help. What should Mercy Hospital do? (shrink)

BackgroundOrgan donation has become one of the most effective ways to save lives and improve the quality of life for patients with end-stage organ failure. No previous studies have investigated the preferences for the different consenting options for organ donation in Egypt. This study aims to assess Egyptians’ preferences regarding consenting options for posthumous organ donation, and measure their awareness and acceptance of the Egyptian law articles regulating organ donation.MethodsA cross sectional study was conducted among 2743 participants over two years. (...) Each participant was required to rank eleven consenting options from 1 to 11, and to report his awareness and acceptance of the seven articles of the Egyptian law of organ donation.Results47% of the participants expressed willingness to donate their organs after death. This percentage increased to 78% when consenting options were explained to participants. “Informed consent by donor only” was the most preferred type of consent for one third of respondents. Awareness of the law articles regulating organ donation was relatively low ranging from 56% to 23%.ConclusionCurrently, around half of the Egyptian population agree to posthumous organ donation. This percentage could be increased significantly by raising the awareness about how the process of donation could be regulated and how the patient’s right of decision could be protected. (shrink)

Recent studies from Western countries indicate significant levels of questionable research practices, but similar data from low and middle-income countries are limited. Our aims were to assess the prevalence of and attitudes regarding research misconduct among researchers in several universities in the Middle East and to identify factors that might account for our findings. We distributed an anonymous questionnaire to a convenience sample of investigators at several universities in Egypt, Lebanon, and Bahrain. Participants were asked to a) self-report their extent (...) of research misconducts, as well as their knowledge of colleagues engaging in similar research misconducts and b) provide their extent of agreement with certain attitudes about research misconduct. We used descriptive, bivariate, and multivariate logistic regression statistics to analyze the data. Data from 278 participants showed a high prevalence of misconduct, as 59.4% of our respondents self-reported to committing at least one misbehaviors and 74.5% reported having knowledge of any misbehaviors among any of their colleagues. The most common type of self-report misconduct was “circumventing research ethics regulations” followed by “fabrication and falsification”. A significant predictor of misconduct included a lack of “prior ethics training”. Scientific misconduct represents a significant issue in several universities in the Middle East. The demonstration that a lack of “prior ethics training” was a significant predictor of misconduct should lead to educational initiatives in research integrity. Further studies are needed to confirm whether our results can be generalized to other universities in the Middle East. (shrink)

Clark1880, WGS1984, and ITRF08 are the reference systems used in Iraq. The ITRF08 and WGS84 represent the global reference frames. In the majority of instances, the transformation from one coordinate system to another is required. The ability of the artificial neural network to identify the connection between two coordinate systems without the need for a mathematical model is one of its most significant benefits. In this study, an ANN was employed for two-dimensional coordinate transformation from local Clark1880 to the global (...) reference system ITRF08. To accomplish so, 68 stations with known coordinates in both systems were utilized in this research and were split into two groups: the first set of data was used as the training data and the second set of data was used as the validation data. A root-mean-square error was used to examine the performance of each transformation. The results showed that the RMSE using the ANN was 0.08 m in the east and 0.17 m in the north. The results indicated that the ANN can be used for 2D coordinate transformation with the results that are better than those of the authorized techniques such as 2D conformal transformation and 2D conformal least square. (shrink)

Source: Author: Ahamed Lebbe Mohamed Aslam, S.M. Ahamed Lebbe There is a relationship between the fiscal deficit and inflation, which was confirmed empirically in several studies conducted in many countries. Sri Lanka has been encountering the problem of inflation for the recent years. But in Sri Lanka, this proposition has not yet been studied scientifically. Therefore, this study was going to fill this gap. The objective of this study was to test the impact of fiscal deficit on inflation in (...) Sri Lanka. For this study, the annual time series data were used during the period of 1959 to 2013. The fiscal deficit, exchange rate, government expenditures and import outflow were used as independent variables while the Colombo consumer price index was considered as dependent variable. In addition, the multiple regressions model was used to test the impact of fiscal deficit on inflation. Based on the regression results, the fiscal deficit preserved the positive relationship with inflation in Sri Lanka at one percent significant level. Therefore, this study confirmed that the fiscal deficit accelerates the inflation in Sri Lanka. ]]>. (shrink)

Objective To determine the attitudes of Egyptian patients regarding their participation in research and with the collection, storage and future use of blood samples for research purposes. Design Cross-sectional survey. Study population Adult Egyptian patients (n=600) at rural and urban hospitals and clinics. Results Less than half of the study population (44.3%) felt that informed consent forms should provide research participants the option to have their blood samples stored for future research. Of these participants, 39.9% thought that consent forms should (...) include the option that future research be restricted to the illness being studied. A slight majority (66.2%) would donate their samples for future genetic research. Respondents were more favourable towards having their blood samples exported to other Arab countries (62.0%) compared with countries in Europe (41.8%, p<0.001) and to the USA (37.2%, p<0.001). Conclusions This study shows that many individuals do not favour the donation of a blood sample for future research. Of those who do approve of such future research, many favour a consent model that includes an option restricting the future research to the illness being studied. Also, many Egyptians were hesitant to have their blood samples donated for genetic research or exported out of the Arab region to the USA and European countries. Further qualitative research should be performed to determine the underlying reasons for many of our results. (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)

Extropy, as a complementary dual of entropy, has been discussed in many works of literature, where it is declared for other measures as an extension of extropy. In this article, we obtain the extropy of generalized order statistics via its dual and give some examples from well-known distributions. Furthermore, we study the residual and past extropy for such models. On the other hand, based on Farlie–Gumbel–Morgenstern distribution, we consider the residual extropy of concomitants of m-generalized order statistics and present this (...) measure with some additional features. In addition, we provide the upper bound and stochastic orders of it. Finally, nonparametric estimation of the residual extropy of concomitants of m-generalized order statistics is included using simulated and real data connected with COVID-19 virus. (shrink)

The American Journal of Bioethics, Volume 12, Issue 6, Page 17-20, June 2012.

Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...) PD. Previous research with regards to predict the presence of the PD has shown accuracy rates up to 93% [1]; however, accuracy of prediction for small classes is reduced. The proposed design of the neural network system causes a significant increase of robustness. It is also has shown that networks recognition rates reached 100%. (shrink)

Juridical councils that render rulings on bioethical issues for Muslims living in non-Muslim lands may have limited familiarity with the foundational concept of wilāyah (authority and governance) and its implications for their authority and functioning. This paper delineates a Sunni Māturīdi perspective on the concept of wilāyah, describes how levels of wilāyah correlate to levels of responsibility and enforceability, and describes the implications of wilāyah when applied to Islamic bioethical decision making. Muslim health practitioners and patients living in the absence (...) of political wilāyah may be tempted to apply pragmatic and context-focused approaches to address bioethical dilemmas without a full appreciation of significant implications in the afterlife. Academic wilāyah requires believers to seek authentication of uncertain actions through scholarly opinions. Fulfilling this academic obligation naturally leads to additional mutually beneficial discussions between Islamic scholars, healthcare professionals, and patients. Furthermore, an understanding derived from a Māturīdi perspective provides a framework for Islamic scholars and Muslim health care professionals to generate original contributions to mainstream bioethics and public policy discussions. (shrink)

This paper introduces the new novel four-parameter Weibull distribution named as the Marshall–Olkin alpha power Weibull distribution. Some statistical properties of the distribution are examined. Based on Type-I censored and Type-II censored samples, maximum likelihood estimation, maximum product spacing, and Bayesian estimation for the MOAPW distribution parameters are discussed. Numerical analysis using real data sets and Monte Carlo simulation are accomplished to compare various estimation methods. This novel model’s supremacy upon some famous distributions is explained using two real data sets (...) and it is shown that the MOAPW model can achieve better fits than other competitive distributions. (shrink)

The extended neoteric ranked set sampling plan proposed by Taconeli and Cabral has proven to outperform many one stages and two stages ranked set sampling plans when estimating the mean and the variance for different populations. Therefore, in this paper, the likelihood function based on ENRSS is proposed and used for estimation of the parameters of the inverted Nadarajah–Haghighi distribution. An extensive Monte Carlo simulation study is conducted to assess the performance of the proposed likelihood function, and the efficiency of (...) the estimated parameters based on ENRSS is compared with the well-known ranked set sampling plan and some of its modifications. These modifications include the extended ranked set sampling plan and the neoteric ranked set sampling plan. The results as foreseeable were very satisfactory and gave similar results to Taconeli and Cabral’s 2019 results. (shrink)