Neuromarketing has gained attention to bridge the gap between conventional marketing studies and electroencephalography -based brain-computer interface research. It determines what customers actually want through preference prediction. The performance of EEG-based preference detection systems depends on a suitable selection of feature extraction techniques and machine learning algorithms. In this study, We examined preference detection of neuromarketing dataset using different feature combinations of EEG indices and different algorithms for feature extraction and classification. For EEG feature extraction, we employed discrete wavelet transform (...) and power spectral density, which were utilized to measure the EEG-based preference indices that enhance the accuracy of preference detection. Moreover, we compared deep learning with other traditional classifiers, such as k-nearest neighbor, support vector machine, and random forest. We also studied the effect of preference indicators on the performance of classification algorithms. Through rigorous offline analysis, we investigated the computational intelligence for preference detection and classification. The performance of the proposed deep neural network outperforms KNN and SVM in accuracy, precision, and recall; however, RF achieved results similar to those of the DNN for the same dataset. (shrink)

Many caricaturists get the idea for their caricature from current issues of society. The philosophy of the caricature lies in the opinion it presents, which discusses society’s goals, culture, and crises, and it is represented in an ironic way to deliver its visual message. The fight for women’s rights, inequality, and discrimination are examples of issues concerning Saudi women that have been represented by several caricaturists. Hence, the aim of this paper is to investigate female and male caricaturists’ linguistic and (...) semiotic representation of Saudi women’s challenging issues. Following (Kress and Van Leeuwen. 2006. Reading images: The grammar of visual design, 2nd edn. London: Routledge), a social semiotic multimodal approach to the analysis is adopted in this study, which is drawn from Halliday’s social semiotic theory. Twenty caricatures were carefully selected based on the content and the issues that are being discussed in the caricatures with a consideration of their relation to the aim of the study. The present study contributes to enriching Saudi women’s rights in relation to Saudi Vision 2030. The research is significant in that, in examining women/male caricaturists’ representations of the challenges and opportunities of Saudi women empowerment prior/after Saudi Vision 2030 in the workplace, social life, it contributes to understanding the supportive caricature discourse, basic social values for Saudi women, the pressures they undergo, and the success they have achieved so far in attaining their rights. The study findings show that both the semiotic and verbal elements of the caricatures were significant in delivering the messages for women’s rights in the new Saudi. (shrink)

In Jordan, research ethics committees exist in most health settings. However, little is known about Jordanian public views regarding the ethics of clinical research. This study aimed to evaluate Jordanian public understanding and attitudes about ethics in clinical research. A questionnaire was used to collect information that included demographics, public knowledge, and attitudes towards ethics in clinical research. It was administered via face-to-face interviews in two major cities in Jordan from 1st June to 15th August 2017. Of the 2315 respondents, (...) 2.33% were found to have poor knowledge, 22.16% had fair knowledge, and 75.51% had good knowledge of ethics in clinical research. Furthermore, 75.81% of respondents had positive attitudes towards ethics in research. However, only 45.23% reported that they trust clinical researchers in Jordan. Even though a large majority of respondents were aware of key features of research ethics, efforts are needed to address negative perceptions and knowledge deficits. (shrink)

Accurate and reliable prediction of Perfobond Rib Shear Strength Connector is considered as a major issue in the structural engineering sector. Besides, selecting the most significant variables that have a major influence on PRSC in every important step for attaining economic and more accurate predictive models, this study investigates the capacity of deep learning neural network for shear strength prediction of PRSC. The proposed DLNN model is validated against support vector regression, artificial neural network, and M5 tree model. In the (...) second scenario, a comparable AI model hybridized with genetic algorithm as a robust bioinspired optimization approach for optimizing the related predictors for the PRSC is proposed. Hybridizing AI models with GA as a selector tool is an attempt to acquire the best accuracy of predictions with the fewest possible related parameters. In accordance with quantitative analysis, it can be observed that the GA-DLNN models required only 7 input parameters and yielded the best prediction accuracy with highest correlation coefficient and lowest value root mean square error. However, the other comparable models such as GA-M5Tree, GA-ANN, and GA-SVR required 10 input parameters to obtain a relatively acceptable level of accuracy. Employing GA as a feature parameter selection technique improves the precision of almost all hybrid models by optimally removing redundant variables which decrease the efficiency of the model. (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)

The COVID-19 pandemic may affect the world severely in terms of quality of life, political, environmental, and economic sustainable development, and the global economy. Its impact is attested to by the number of research studies on it. The main aim of this study is to evaluate the impact of COVID-19 on the psychology of sustainability, on sustainable development, and on the global economy. A computerized literature search was performed, and journal articles from authentic sources were extracted, including MEDLINE, Google Scholar, (...) Science Direct, ProQuest, and Emerald Insight. The references in selected articles were screened to identify any relevant studies. The following inclusion criteria were followed: research articles based on the COVID-19 pandemic, and articles, research papers, journals, and news articles published 2010 to 2020. The exclusion criteria were as follow: psychology research, articles, and journals published before 2010 and research articles having no link with the current pandemic’s impact on the psychology of sustainability, quality of life, and the global economy. Of the initial 350 articles identified, only 61 studies were found to be relevant and meet the inclusion criteria. Based on these articles, the review highlights that compared to developed countries, the developing nations and poor nations such as African countries with compromised health structures have been greatly affected. There are close associations between health, economic, environmental, and political issues globally. The pandemic can be managed if we follow new policies that implement economic and public health changes worldwide. A planned, coordinated approach between the public-private sector is required, designed according to each country’s health system and economy. We can come out of this crisis if we work together and support both developed and developing nations. (shrink)

ObjectiveTo examine body image perception and the associations of body dissatisfaction with socio-demographic and lifestyle factors among Saudi women attending fitness centers in Riyadh.MethodsSaudi females aged 16 years and older were recruited from 12 randomly selected fitness centers in Riyadh, using stratified clustered sampling technique. Height and weight were measured to calculate actual body mass index. A previously validated instrument was used to collect socio-demographic and lifestyle variables including physical activity, sedentary behaviors, sleep and dietary habits. Stunkard Figure Rating Scale (...) silhouettes were used to assess perceived and desired body shape.ResultsThe participants had a mean age of 29.2. The majority were not married, with no children and had college degrees. While 63% were overweight or obese, nearly 40% of women underestimated their perceived body shape. The majority of respondents were dissatisfied with their body shape including 68% of normal weight women. Females who had BD were significantly older, had higher BMI, reported more weight loss attempt and had expended less time in vigorous and total PA than those who were satisfied with their body shape. However, when adjusting for socio-demographic variables, logistic regression analysis revealed significant associations of BD with higher BMI, shorter membership duration of fitness club, and reduced dairy products and energy drinks consumption.ConclusionExcept for BMI and decreased dairy products and energy drinks consumption, many lifestyle behaviors did not associate with BD among Saudi females attending fitness centers. The findings can inform healthcare providers when intervention strategy is implicated for females with BD. Future studies should compare the associations of BD with lifestyle behaviors between males and females attending fitness centers and seeking weight loss. (shrink)

Corrigendum: Getting Through COVID-19: The Pandemic’s Impact on the Psychology of Sustainability, Quality of Life, and the Global Economy–A Systematic Review * Correspondence: [email protected]: coronavirus disease, COVID-19, the psychology of sustainability, economic growth, sustainabledevelopment, quality of life, world economy.Corrigendum on: full citation of the original version of the article. Please pick the most relevant text template(s) (delete all others) and edit as necessary.Missing FundingIn the original article, we neglected to include the funder ** The Deanship of Scientific Research at Umm (...) Al-Qura University **, ** Grant Code: 18-HUM-1-03-0002** to ** Prof.: Sawzan Sadaqa Basyouni**. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.Text CorrectionIn the original article, there was an error. ** We would like to extend our appreciation and gratitude to the editor and the two reviewers for their insightful comments **.A correction has been made to ** ACKNOWLEDGMENTS**, **Paragraph Number: 11**:**Insert CORRECTED paragraph**The authors would like to thank The Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: 18-HUM-1-03-0002. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated. (shrink)

After more than 40 years of practice, the Islamic finance industryis composed of products with claim of Islamicity but questionable on theirShariʽah credentials. The industry is increasingly exposed to cynicism anddecline in popular interest. This paper restates the essence of riba prohibitionfrom an economic perspective. It evaluates the Shariʽah scholars approach tovalidation of contracts as well as the monetary authorities’ attitude towards theShariʽah content of Islamic finance transactions. It points out the advantagesof Islamic finance within an Islamic macroeconomic environment. It (...) looks intothe problem of convergence of Islamic finance to conventional finance, andreasons behind the convergence. This study finds that several violations of thetrue paradigm of Islamic finance are because of its advantages being all externaland impossible to internalize. The paper concludes with some proposals forchecking the convergence. (shrink)

There has been growing scholarly interest in understanding individual-level antecedents of counterproductive workplace behavior (CWB). While researchers have found a positive relationship between individuals’ negative affect and engagement in CWB, to date, our understanding of the factors which may affect this relationship is limited. In this study, we investigate the moderating roles of moral disengagement and gender in this relationship. Consistent with our hypotheses, we found that individuals with a greater tendency to experience negative emotions were more likely to engage (...) in CWB when they had a higher propensity to morally disengage. Moreover, we found that this interacting relationship varied across men and women. We discuss the theoretical and practical implications of our findings and offer avenues for future research. (shrink)

Humanity is under siege with Covid-19. Whilst the crisis aggravates, the world is also grappling with yet another challenge - a global misinformation conundrum. This arises from the spread of contagious conspiracy theories that obfuscate understanding the pandemic at best. Incidentally, the conspiracy theories have gone as viral as Covid-19 itself, spreading just as swiftly digitally as the virus does physically. The outcome has been a spectrum of attitudinal patterns, ranging from cynicism and skepticism to outright denialism and fatalism. Using (...) a conversational analysis that is predicated on extant literature and personal insights, the paper examines the import of conspiracy theories as a major complication of the Covid-19 challenge. The paper posits that the theories have produced narratives and attitudinal outcomes that not only misrepresent the pandemic but also complicate its mitigation. (shrink)

[1] Lev Yehudah ḥeleḳ 1, u-vo ḥidushim u-veʼurim be-ʻinyanim shonim. Lev Yehudah ḥeleḳ 2, u-vo heʻarot ṿe-heʼarot ḳetsarot. Boʼu ḥeshbon, u-vo heʻarot be-ḥeshbonot u-midot Ḥazal -- [2] Ḳunṭres Boʼu ḥeshbon ḥeleḳ 2.

Logic; Islamic philosophy; Islam--doctrines.

al-Masāʼil al-qudsīyah -- Mutashābihāt al-Qurʼān -- Ajwibat al-masāʼil.