The current study aimed at identifying the awareness level of artificial intelligence applications' risks among faculty members and its relation to the attitude towards digital culture at Imam Abdulrahman Bin Faisal University. The descriptive survey method was used. A questionnaire was designed to measure the awareness of the artificial intelligence applications' risks, and a scale for measuring the attitude towards digital culture. They were administered to a sample of [463] faculty members at Imam Abdulrahman Bin Faisal University. The study concluded (...) that there is an average awareness of the artificial intelligence applications' risks and the attitude towards digital culture among faculty members. A significant relationship was found out between awareness of the artificial intelligence applications' risks as a whole and the attitude towards digital culture. The results indicated that there are no differences in the awareness level of the artificial intelligence risks due to the variables of: gender, use duration of digital applications, and colleges. There are no differences in the variable of the attitude towards digital culture with its various dimensions: cognitive, psychomotor, and affective and its total score. The current study recommended designing a professional development plan for faculty members on the negative effects and risks of artificial intelligence, and launching an Arab platform based on artificial intelligence applications. (shrink)

The current research aims at improving the skills of producing digital stories using the tools of generative artificial intelligence Chat GPT and Google Bard, which are necessary for female student teachers’ specialization: Kindergarten. The current research has used the descriptive approach and the experimental approach with a quasi-experimental design through a design based on one group and comparing the differences between the pre and post-evaluation. The study sample was randomly selected from female students teachers specializing in kindergarten, and their number (...) reached (25) students. A list of producing digital stories standards was prepared and controlled, and a graded performance rating scale was prepared to evaluate the skills of producing digital stories among female student teachers specializing in kindergarten. The results indicate the effectiveness of using the generative AI tools in improving digital stories production skills according to the criteria that were built in the current research. (shrink)

The novel coronavirus disease is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the new coronavirus pneumonia has reached a crucial point. Therefore, it is essential—for safety and prevention purposes—to promptly predict and forecast the virus outbreak in the course of this troublesome time to have (...) control over its mortality. Recently, deep learning models are playing essential roles in handling time-series data in different applications. This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. Long short-term memory and gated recurrent unit have been applied on time-series data in three countries: Egypt, Saudi Arabia, and Kuwait, from 1/5/2020 to 6/12/2020. The results show that LSTM has achieved the best performance in confirmed cases in the three countries, and GRU has achieved the best performance in death cases in Egypt and Kuwait. (shrink)

Twitter integrates with streaming data technologies and machine learning to add new value to healthcare. This paper presented a real-time system to predict breast cancer based on streaming patient’s health data from Twitter. The proposed system consists of two major components: developing an offline building model and an online prediction pipeline. For the first component, we made a correlation between the features to determine the correlation between features and reduce the number of features from the Breast Cancer Wisconsin Diagnostic dataset. (...) Two feature selection algorithms are recursive feature elimination and univariate feature selection algorithms which are applied to features after correlation to select the essential features. Four decision trees, logistic regression, support vector machine, and random forest classifier have been used on features after correlation and feature selection. Also, hyperparameter tuning and cross-validation have been applied with machine learning to optimize models and enhance accuracy. Apache Spark, Apache Kafka, and Twitter Streaming API are used to develop the second component. The best model with the highest accuracy obtained from the first component predicts breast cancer in real time from tweets’ streaming. The results showed that the best model is the random forest classifier which achieved the best accuracy. (shrink)

This paper presents a unique manuscript copy of a fifth/eleventh-century Maghribī commentary on al-Bāqillānī’s Kitāb al-Tamhīd. The work, entitled al-Tasdīd fī sharḥ al-Tamhīd, was written by ‘Abd al-Jalīl b. Abī Bakr al-Dībājī —also known as Ibn al-Ṣābūnī— who had studied the Kitāb al-Tamhīd with al-Bāqillānī’s disciples in Qayrawān. The present study first reviews the transmission of al-Bāqillānī’s work to the Islamic west. It then continues to present the author of the commentary, to reconstruct the work’s genesis and to describe (...) its content. The final section focuses on a sample chapter and argues that al-Dībājī follows al-Bāqillānī’s later position on a specific theory —the so-called theory ofaḥwāl— of which the Tamhīd strongly disapproved. The Tasdīd is one of the oldest texts of Maghribī Ash‘arism that has come down to us and provides valuable new insights into the school’s early history in the Islamic west. (shrink)

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)

Research on the nature of science and science education enjoys a longhistory, with its origins in Ernst Mach's work in the late nineteenthcentury and John Dewey's at the beginning of the twentieth century.As early as 1909 the Central Association for Science and MathematicsTeachers published an article – ‘A Consideration of the Principles thatShould Determine the Courses in Biology in Secondary Schools’ – inSchool Science and Mathematics that reflected foundational concernsabout science and how school curricula should be informed by them. Sincethen (...) a large body of literature has developed related to the teaching andlearning about nature of science – see, for example, the Lederman and Meichtry reviews cited below. As well there has been intensephilosophical, historical and philosophical debate about the nature of scienceitself, culminating in the much-publicised ‘Science Wars’ of recent time. Thereferences listed here primarily focus on the empirical research related to thenature of science as an educational goal; along with a few influential philosophicalworks by such authors as Kuhn, Popper, Laudan, Lakatos, and others. Whilenot exhaustive, the list should prove useful to educators, and scholars in otherfields, interested in the nature of science and how its understanding can berealised as a goal of science instruction. The authors welcome correspondenceregarding omissions from the list, and on-going additions that can be made to it. (shrink)

Total quality; commerce; economics; religious aspects; Islam; Islamic ethics.

Researchers have raised concerns about teachers’ ability to embed nature of science in their science instruction, a complicated situation that is certainly impacted by the availability of adequate resources to assist K-12 science teachers. In light of the implementation of the ideas from the Framework for K-12 Science Education and the Next Generation Science Standards in the USA, this study sought to identify and evaluate resources aimed at guiding NOS instruction. A search of the National Science Teachers Association database for (...) Next Generation Science Standards -aligned instructional resources resulted in an analytical sample of eight lessons. All materials accompanying these lessons were analyzed for their representations of 10 NOS aspects. The evaluation of these materials revealed a prevalence of implicit, naïve representations in the sample lessons. Examination of the connections to NOS in these lessons leads to a set of recommendations to improve the quantity and quality of NOS representations in future NGSS-aligned instructional resources. The analytical approach used and the issues raised about the presentation and treatment of NOS in precollege lessons are of interest to the broader science education community. (shrink)

This commentary is a critical appraisal of Gil-Pérez et al.'s (2002) conceptualization of constructivism. It is argued that the following aspects of their presentation are problematic: (a) Although the role of controversy is recognized, the authors implicitly subscribe to a Kuhnian perspective of `normal' science; (b) Authors fail to recognize the importance of von Glasersfeld's contribution to the understanding of constructivism in science education; (c) The fact that it is not possible to implement a constructivist pedagogy without a constructivist epistemology (...) has been ignored; and (d) Failure to recognize that the metaphor of the `student as a developing scientist' facilitates teaching strategies as students are confronted with alternative/rival/conflicting ideas. Finally, we have shown that constructivism in science education is going through a process of continual critical appraisals. (shrink)

By combining the art of Saudi heritage, because of its aesthetic values that increase and enrich the work, and the recycling of old environmental materials, innovative artistic artifacts were produced. The importance of the research came Attention was paid to the decorations of Al-Qat Al-Asiri art and benefiting from it in creating innovative artistic artifacts. The The research aims to demonstrate the aesthetic values of Al-Qat Al-Asiri art and benefit from them in creating innovative modern art objects through the idea (...) of recycling. The research assumes the possibility of making artistic artifacts through recycling using the idea of Al-Qat Al-Asiri art. The research problem is represented in the following question. (shrink)

Background Workplace silence behavior is a social collective phenomenon. It refers to nurses choosing to withhold their ideas, opinions and concerns about critical issues in their workplace. Workplace silence behavior poses a threat to organizational ethics and success. It also has adverse effects on the performance of nurses in health organizations. Underlying nursing causes of silence behaviors could be related to individual, social and organizational attributes in health care settings. Objectives The study aimed to develop a new Egyptian validation scale (...) for measuring nursing motives of workplace silence behavior and identify consequences of workplace silence behavior on nurses. Methods A cross-sectional correlational study was implemented using questionnaires on workplace silence behavior, nursing motives and nurses' consequences, collected from 332 nurses working in critical and toxicology care settings of Alexandria Main University Hospital. Results Egyptian scale was shown to be a good fit model of exploratory (36 nursing motives emerged in six dimensions with total variance of 73.3%) and confirmatory factor analysis tests (X2 = 1381.47, NNFI =0. 90, CFI = 0.91, RMSEA = 0.057). It also had high reliability tests with coefficient of alpha (0.85), Pearson (0.75) and Kendall coefficient of 0.72. High level of workplace silence behaviors showed a negative association with organizational dis-identification, fair citizenship behavior, and fair nurses' performance and declined reporting of patient adverse events. It also appeared to be in a positive association with higher levels of cynicism. Conclusion The Egyptian scale was proved to be reliable and valid for measuring the underlying nursing causes of silence behaviors in the hospital workplace. Measuring nursing motives of workplace silence behaviors will help nurse managers to reduce negative outcomes of workplace silence behaviors and improve organizational outcomes. (shrink)

Stemming from the realization of the importance of the role of explanation in the science classroom, the Next Generation Science Standards call for appropriately supporting students to learn science, argue from evidence, and provide explanations. Despite the ongoing emphasis on explanations in the science classroom, there seems to be no well-articulated framework that supports students in constructing adequate scientific explanations, or that helps teachers assess student explanations. Our motivation for this article is twofold: First, we think that the ways in (...) which researchers in science education have studied scientific explanation are, at best, leaves much to be desired and, at worst, simply incomplete. Second, we believe that research about the teaching and learning of explanation in science classrooms must be guided by explicit models or frameworks that specify elements involved in constructing explanations particularly applicable to science. More importantly, we think that the development of such models or guidelines should be based on theoretical and philosophical foundations. In order to develop these frameworks or guidelines, we first outline and clarify models of scientific explanation developed by philosophers of science over the last few decades. In the second section of this article, we present a more recent philosophical work on scientific explanation, the pragmatic approach to studying scientific explanations. This approach suggests a toolbox for analyzing scientists’ scientific explanations, which provides a useful instrument to science education. In Section 3, we discuss the ways by which the previous two sections are useful in developing a K-12 scientific explanation schema. Implications for future research on students’ explanations are discussed. (shrink)

This article attempts to study cost minimizing multi-objective fractional solid transportation problem with fuzzy cost coefficients c ˜ i j k r {\tilde{c}}_{ijk}^{r}, fuzzy supply quantities a ˜ i {\tilde{a}}_{i}, fuzzy demands b ˜ j {\tilde{b}}_{j}, and/or fuzzy conveyances e ˜ k {\tilde{e}}_{k}. The fuzzy efficient concept is introduced in which the crisp efficient solution is extended. A necessary and sufficient condition for the solution is established. Fuzzy geometric programming approach is applied to solve the crisp problem by defining membership (...) function so as to obtain the optimal compromise solution of a multi-objective two-stage problem. A linear membership function for the objective function is defined. The stability set of the first kind is defined and determined. A numerical example is given for illustration and to check the validity of the proposed approach. (shrink)

This study focused on the identification problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals. The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes as two separate featured input signals. These two input signals were grouped in a number of clusters using the K-means clustering algorithm. The clustered input signals were supplied to the model in an (...) orderly fashion from cluster-1 up to cluster-K. To ensure that the output signal can be best predicted from the input signal which in turn leads to selecting good enough model for its intended use, the magnitude-squared coherence measure is applied to the input/output signals in the cases of clustered and nonclustered inputs, which indicates best correlation coefficient when measured with clustered inputs. From collected input-output signals, we deduce a K-means clustering based recursive least squares method for estimating the parameter of autoregressive moving average system. The simulation results indicate that the suggested method is effective. (shrink)

Bu araştırma, Birinci Mushaf Projesi’nden yarım asır sonra gerçekleşen önemli bir projeyi ortaya çıkarmayı hedeflemektedir. Bu proje, hicrî 84 ve 85 yılları arasında Irak’ın Vâsıt şehrinde zamanın Kûfe ve Basra (Irâkeyn) valisi Haccâc b. Yûsuf’un (ö. 95/714) girişimi ve Emevî Halifesi Abdülmelik b. Mervân’ın desteğiyle uygulamaya koyulmuştur. Projenin yürütülmesini ise Hasan-ı Basrî (ö. 110/728) üstlenmiş ve hafızlar, kâtipler ve kârîler gibi çok sayıda uzman kişiden oluşan komisyonlara başkanlık etmiştir. Bu çalışmada Giriş’in ardından bu projeye yol açan etkenlerden söz edilmiştir. Bunların (...) başında da üçüncü Halife Osman’ın başlattığı Kur’an metninde birliğin sağlanması düşüncesi gelmektedir. Daha sonra bu projenin sahibi Haccâc’tan bahsedilmiş, bu projenin nerede ve ne zaman gerçekleştiği, projede yer alan önemli şahsiyetlerin kimler olduğu şeklindeki bir dizi soru cevaplanmıştır. Daha sonra Proje’nin hedefleri hakkında ayrıntılara girilmiş, Haccâc’ın Osman Mushaf’ında toplam on bir harfte değişiklik yaptığı isnâdında bulunan rivayetler tartışılmış, bu rivayetler incelenerek eleştiri süzgecinden geçirilmiş ve İkinci Mushaf Projesi’nin Hz. Peygamber ve hulefâ-i râşidîn döneminde gerçekleştirilen Birinci Mushaf Projesi’ni tamamlayıcı mahiyette olduğu sonucuna ulaşılmıştır. Ardından İslam devletinin tanık olduğu siyasi çalkantıların ardından İkinci Mushaf Projesi’nin akıbetinin ne olduğu hususuna değinilmiştir. (shrink)

Bringing together international research on nature of science representations in science textbooks, this unique analysis provides a global perspective on NOS from elementary to college level and discusses the practical implications in various regions across the globe. Contributing authors highlight the similarities and differences in NOS representations and provide recommendations for future science textbooks. This comprehensive analysis is a definitive reference work in science education.

Topic of quantum chaos has begun to draw increasing attention in recent years. So, to ensure the security of digital image, an image encryption algorithm based on combining a hyperchaotic system and quantum 3D logistic map is proposed. This algorithm is applied in four stages. Initially, the key generator builds upon the foundation of mean for any row or column of the edges of the plain image. Its output value is used to yield initial conditions and parameters of the proposed (...) image encryption scheme. Next, it diffuses the plain image by the random sequences generated by 3D hyperchaotic system, and the diffusion process is realized by implementing XOR operation. Then, the diffused image and chaotic sequences are produced by the 3D quantum chaotic logistic map, expressed as a quantum superposition state using density matrix which is a representation of the state of a quantum system, and finally the resulting quantum image is then confused and diffused simultaneously by a unitary matrix generated by logistic chaos using XNOR operation to obtain the final cipher image. Because of the dependence on the plain image, the algorithm can frustrate the chosen-plaintext and known-plaintext attacks. Simulation results and theoretical analysis verify that the presented scheme has high safety performance, a good encryption effect, and a large key space. The method can effectively resist exhaustive, statistical, and differential attacks. Moreover, the encryption time of the proposed method is satisfactory, and the method can be efficiently used in practice for the secure transmission of image information. (shrink)

The problem of finding optimal sampling schemes has been resolved in two models. The novelty of this study lies in its cost efficiency, specifically, for the applied problems with expensive sampling process. In discussed models, we show that some observations counteract other ones in prediction mechanism. The autocovariance function of underlying process causes mentioned result. Our interesting result is that, although removing neutralizing observations convert sampling scheme to nonredundant case, it causes to worse prediction. A simulation study confirms this matter, (...) too. (shrink)

The basic methodology of rough set theory depends on an equivalence relation induced from the generated partition by the classification of objects. However, the requirements of the equivalence relation restrict the field of applications of this philosophy. To begin, we describe two kinds of closure operators that are based on right and left adhesion neighbourhoods by any binary relation. Furthermore, we illustrate that the suggested techniques are an extension of previous methods that are already available in the literature. As a (...) result of these topological techniques, we propose extended rough sets as an extension of Pawlak’s models. We offer a novel topological strategy for making a topological reduction of an information system for COVID-19 based on these techniques. We provide this medical application to highlight the importance of the offered methodologies in the decision-making process to discover the important component for coronavirus infection. Furthermore, the findings obtained are congruent with those of the World Health Organization. Finally, we create an algorithm to implement the recommended ways in decision-making. (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)

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)

The aim of this paper is to investigate the flow of MHD mixed convection nanofluid flow under nonlinear heated due to an extending surface. The transfer of heat in nanofluid subject to a magnetic field and boundary conditions of convective is studied to obtain the physical meaning of the convection phenomenon. The governing partial differential equations of the boundary layer are reduced to ordinary differential equations considering a technique of the transformation of similarity. The transformed equations are solved numerically considering (...) the technique of an efficient numerical shooting applying the Runge–Kutta technique scheme from the fourth-fifth order. The results corresponding to the dimensionless speed, temperature, concentration profiles, and the Nusselt number reduced, and the Sherwood numbers are presented by figures to display the physical meaning of the phenomena. A comparison has been made between the obtained results with the previous results obtained by others and agrees with them if the new parameters vanish. The results obtained indicate the impacts of the nondimensional governing parameters, namely, magnetic field parameter M, Soret number Sr, heat source λ, thermal buoyancy parameter λ T, and solutal buoyancy parameter λ C on the flow, temperature, and concentration profiles being discussed and presented graphically. (shrink)

The quality of the products coming from different lines of production requires some tests called comparative life tests. For lines having the same facility, the lifetime of the product is distributed by Burr XII, the lifetime distribution, and units are tested under type-I generalized hybrid censoring scheme. The observed censoring data are used under maximum likelihood and the Bayes method to estimate the model parameters. The theoretical results are discussed and assessed through data analysis and Monte Carlo simulation study. Finally, (...) we reported some brief comments obtained from numerical computation. (shrink)

This tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. (...) Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, ‪Gabrijela Popović‬‬‬‬‬, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.‬‬. (shrink)