The current study investigated correlations among gifted students’ academic performance; emotional, social, analytical, creative, and practical intelligence; and their implicit theories of intelligence. Furthermore, it studied the effect of gender and grade on these variables. The participants included 174 gifted fifth and sixth grade students, comprising 53.4% male and 46.6% female. The following analytical, creative, and practical intelligence tests were administered: Aurora Battery, the emotional intelligence scale, the implicit theories of intelligence scale, and an assessment scale of students’ performances. The (...) results revealed significant correlations among academic performance, kinds of intelligence, and implicit theories of intelligence. There were no significant differences between the male and female students in these measures. There were, however, significant differences between the fifth and sixth grade students, with the sixth-grade students showing higher levels of all kinds of intelligence, except emotional intelligence. Moreover, the results indicated that the intelligence measures were non-significantly affected by either gender or gender–grade interaction. Overall, our results showed that most types of intelligence are related to giftedness, and that there were no gender differences among gifted students on measures of intelligence. (shrink)

Cet article présente, dans une première partie, les fondements éthiques de la gestion de crise qui s’apparentent au pragmatisme et à l’écologie humaniste et s’appliquent dans une approche systémique axée sur l’apprentissage et le dialogue. Dans une deuxième partie, il discute de quelques questions éthiques dans le domaine de la sécurité civile en s’appuyant principalement sur les observations empiriques de l’auteur au Québec. Dans le cadre de sa mission en tant que boursier du Programme canadien de bourses de la Francophonie, (...) l’auteur termine par un examen des défis culturels relatifs à son aspiration d’établir une éthique et une culture de gestion de crise dans son pays, l’Égypte. (shrink)

The question of whether females tend to act more ethically or risk-averse compared to males is an interesting ethical puzzle. Using a large sample of US firms over the 1992–2014 period, we investigate the effect that the gender of a chief executive officer has on earnings management using classification shifting. We find that the pre-Sarbanes–Oxley Act period was characterized by high levels of classification shifting by both female and male CEOs, but the magnitude of such practices is, surprisingly, significantly higher (...) in firms with female CEOs than in those with male CEOs. By contrast, our results suggest that following the passage of the punitive SOX Act, classification shifting by female CEOs declined significantly, whilst it remained pervasive in firms with male CEOs. This suggests that the observable differences in financial reporting behavior between male and female CEOs seem to be because female CEOs are more risk-averse, but not necessarily more ethically sensitive than their male counterparts are. The central tenets of our findings remain unchanged after several additional checks, including controlling for alternative earnings management techniques, corporate governance mechanisms, CEO and chief financial officer characteristics and propensity score-matching. (shrink)

The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...) to calculate inheritance in Islam. A proposed expert system was designed and developed using CLIPS language to calculate the inheritance in Islam. (shrink)

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...) dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...) The system was evaluated by reciting teachers and students, and the results were auspicious. (shrink)

Recent advancements in large language models (LLMs) have ushered in a transformative phase in artificial intelligence (AI). Unlike conventional AI, LLMs excel in facilitating fluid human–computer d...

Undeniably, the greatest way for a Moslem to be closer to Allah, is recitation of Holy-Quran approves with the method conveyed from Messenger of Allah Mohammed from the feature of speech points of letters and the intrinsic and fleeting characteristics of the letters, So, there is a persistent need to teach all Moslems the science of Tajweed Al-Quran. ITS (Intelligent Tutoring System) is computer software that supplies direct and tailored training or response to students without human teacher interfering. The main (...) target of ITS is smoothing the learning process using the wide-ranging facilities of computer. The proposed system will be implemented using the ITSB Authoring tool. In this thesis, the researcher presents an intelligent tutoring system for teaching Reciting Al-Quran "Tajweed" with Rewaya: Hafs from ‘Aasem by the way of Shatebiyyah. It was a novel idea that the researcher combined the science of Tajweed Al-Quran and the science of artificial intelligence in his thesis. The researcher arranged the material into chapters, lessons, examples then, added all these to the proposed system. He also added questions, right answers and the level of difficulty for each lesson. He prepared an exam for each chapter and a final exam to test the knowledge of the learner in the whole material. The system was evaluated by teachers and students in reciting science and the outcome of the assessment was encouraging and promising. (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)

One of the important issues in mobile robots is finding the position of robots in space. This is normally achieved by using a sensor to locate the position of the robot. However, relying on more than one sensor and then using multisenor data fusion algorithms tends to be more reliable than just using a reading from a single sensor. If these sensors provide inconsistent data, catastrophic fusion may occur, and thus the estimated position of the robot obtained will be less (...) accurate than if an individual sensor is used. This article uses an approach that relies on combining modified Bayesian fusion algorithm with Kalman filtering to estimate the position of a mobile robot. Two case studies are presented to prove the efficiency of the proposed approach in estimating the position of a mobile robot. Both scenarios show that combining fusion with filtering provides an accurate estimate of the location of the robot by handling the problem of uncertainty and inconsistency of the data provided by the sensors. (shrink)

Biocidal agents such as formaldehyde and glutaraldehyde are able to inactivate several coronaviruses including SARS‐CoV‐2. In this article, an insight into one mechanism for the inactivation of these viruses by those two agents is presented, based on analysis of previous observations during electron microscopic examination of several members of the orthocoronavirinae subfamily, including the new virus SARS‐CoV‐2. This inactivation is proposed to occur through Schiff base reaction‐induced conformational changes in the spike glycoprotein leading to its disruption or breakage, which can (...) prevent binding of the virus to cellular receptors. Also, a new prophylactic and therapeutic measure against SARS‐CoV‐2 using acetoacetate is proposed, suggesting that it could similarly break the viral spike through Schiff base reaction with lysines of the spike protein. This measure needs to be confirmed experimentally before consideration. In addition, a new line of research is proposed to help find a broad‐spectrum antivirus against several members of this subfamily. (shrink)

What happens when a patient-interfacing conversational artificial intelligence system (CAI)—AI that combines natural language understanding, processing, and machine-learning models to autonomously...

Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

Prior research suggests that the presence of high-quality auditors constrains accrual-based earnings management, but it inadvertently leads to higher real activities manipulation. We investigate whether such trade-off exists between accrual-based and real earnings management activities in the presence of female or male auditors. We use a sample of UK firms for the period 2009 to 2016 and find that firms audited by female auditors do not resort to a higher-level real activities manipulation when their ability to engage in accruals management (...) is constrained. Overall, our results suggest that the benefits of hiring female auditors are overwhelmingly higher than the costs they might bring to the client firms. (shrink)

Why do we run toward people we love, but only walk toward others? Why do people in New York seem to walk faster than other cities? Why do our eyes linger longer on things we value more? There is a link between how the brain assigns value to things, and how it controls our movements. This link is an ancient one, developed through shared neural circuits that on one hand teach us how to value things, and on the other hand (...) control the vigor with which we move. As a result, when there is damage to systems that signal reward, like dopamine and serotonin, that damage not only affects our mood and patterns of decision making, but how we move. In this book, we first ask why in principle evolution should have developed a shared system of control between valuation and vigor. We then focus on the neural basis of vigor, synthesizing results from experiments that have measured activity in various brain structures and neuromodulators, during tasks in which animals decide how patiently they should wait for reward, and how vigorously they should move to acquire it. Thus, the way we move unmasks one of our well-guarded secrets: how much we value the thing we are moving toward. (shrink)

This paper is devoted to the control problem of a nonlinear dynamical system obtained by a truncation of the two-dimensional Navier–Stokes equations with periodic boundary conditions and with a sinusoidal external force along the x-direction. This special case of the 2D N-S equations is known as the 2D Kolmogorov flow. Firstly, the dynamics of the 2D Kolmogorov flow which is represented by a nonlinear dynamical system of seven ordinary differential equations of a laminar steady state flow regime and a periodic (...) flow regime are analyzed; numerical simulations are given to illustrate the analysis. Secondly, an adaptive controller is designed for the system of seven ODEs representing the approximation of the dynamics of the 2D Kolmogorov flow to control its dynamics either to a steady-state regime or to a periodic regime; the value of the Reynolds number is determined using an update law. Then, a static sliding mode controller and a dynamic sliding mode controller are designed for the system of seven ODEs representing the approximation of the dynamics of the 2D Kolmogorov flow to control its dynamics either to a steady-state regime or to a periodic regime. Numerical simulations are presented to show the effectiveness of the proposed three control schemes. The simulation results clearly show that the proposed controllers work well. (shrink)

The construction industry is usually characterized as a fragmented system of multiple-organizational entities in which members from different technical backgrounds and moral values join together to develop a particular business or project. The greatest challenge in the construction process for the achievement of a successful practice is the development of an outstanding reputation, which is built on identifying and applying an ethical framework. This framework should reflect a common ethical ground for myriad people involved in this process to survive and (...) compete ethically in today’s turbulent construction market. This study establishes a framework for ethical judgment of behavior and actions conducted in the construction process. The framework was primarily developed based on the essential attributes of business management identified in the literature review and subsequently incorporates additional attributes identified to prevent breaches in the construction industry and common ethical values related to professional engineering. The proposed judgment framework is based primarily on the ethical dimension of professional responsibility. The Ethical Judgment Framework consists of descriptive approaches involving technical, professional, administrative, and miscellaneous terms. The framework provides the basis for judging actions as either ethical or unethical. Furthermore, the framework can be implemented as a form of preventive ethics, which would help avoid ethical dilemmas and moral allegations. The framework can be considered a decision-making model to guide actions and improve the ethical reasoning process that would help individuals think through possible implications and consequences of ethical dilemmas in the construction industry. (shrink)

Ethics issues in the areas of science, technology and medicine have emerged during the last few decades. Many countries have responded by establishing ethics committees at the national level. Identification of National Ethics Committees (NECs) in the Eastern Mediterranean (EM) region and the extent of their functions and capacity would be helpful in developing capacity building programs that address the needs of these committees. Accordingly, we conducted a survey to determine the characteristics of existing NECs in the EM region.

Background: Sharing of tissue samples for research and disease surveillance purposes has become increasingly important. While it is clear that this is an area of intense, international controversy, there is an absence of data about what researchers themselves and those involved in the transfer of samples think about these issues, particularly in developing countries. Methods: A survey was carried out in a number of Asian countries and in Egypt to explore what researchers and others involved in research, storage and transfer (...) of human tissue samples thought about some of the issues related to sharing of such samples. Results: The results demonstrated broad agreement with the positions taken by developing countries in the current debate, favoring quite severe restrictions on the use of samples by developed countries. Conclusions: It is recommended that an international agreement is developed on what conditions should be attached to any sharing of human tissue samples across borders. (shrink)

Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...) large number of documents. To overcome the drawbacks of offline signature verification, we have seen a growth in online biometric personal verification such as fingerprints, eye scan etc. In this paper we created CNN model using python for offline signature and after training and validating, the accuracy of testing was 99.70%. (shrink)

The purpose of this study is to examine the link between English foreign language teacher’s professional identity and employee success via mediating role of critical thinking. Further, we examined the moderating role of leader motivational language between employee professional identity and critical thing and also indirect effect on employee success via critical thinking. We collected data from Chinese MNC’s school by using time lagged study design. We used hierarchical linear regression for direct hypotheses and Hayes PROCESS model’s for mediation, moderation, (...) and mediation moderation analysis. The results show that there is positive relation between employee’s professional identity and teacher’s success. Further, critical thinking mediates the link between professional identity and employee success. The results of the moderated mediation analysis show that critical thinking mediated the interaction of employee’s professional identity and leader’s motivational language on teacher’s success. (shrink)

This research focuses on students' online purchase intentions in Pakistan toward different products available for sale on numerous e-business websites. This study's main objective is to determine which methodology is better to enhance customer online purchase intention. It also aims to discover how to improve perceived benefits and lower perceived risks associated with any available online product and entrepreneurship. AMOS 24 has been used to deal with the mediation in study design with bootstrap methodology. The study was conducted on 250 (...) students from different educational institutes in Pakistan using a simple random sampling technique. A finding of this study suggests that both methods positively impact online purchase intention of consumers and sustainable digital economy. But social media advertisement is more effective through enhancing the perceived benefits of products. In contrast, product content factors are more effective at lowering the perceived risks associated with available online products. (shrink)