Exposure of the banking system to the Global Financial Crisis attracted attention to the study of riskiness and spillover. This paper studies the pattern of systemic risk and size effect in the Indian banking sector. Based on market capitalization, three public sector banks and three from the private sector were taken. Data are taken from the year 2007 to 2020. The analysis is done through quantile- CoVaR and TENET measure. State variables like Indian market volatility and global risk measures negatively (...) influence the Indian banks’ returns. Liquidity risk is a crucial aspect of private banks. Public banks experience public confidence even in the distress period. Large banks like HDFC and SBI bank offer the highest degree of systemic risk contribution. The role of private banks in transmitting systemic risk has been intensifying since 2015. Small-sized banks like PNB and BOB have become significant receivers and transmitters of risk. (shrink)

Internet-of-Things (IoT) creates a significant impact in spectrum sensing, information retrieval, medical analysis, traffic management, etc. These applications require continuous information to perform a specific task. At the time, various intermediate attacks such as jamming, priority violation attacks, and spectrum poisoning attacks affect communication because of the open nature of wireless communication. These attacks create security and privacy issues while making data communication. Therefore, a new method autoencoder deep neural network (AENN) is developed by considering exploratory, evasion, causative, and priority (...) violation attack. The created method classifies the transmission outcomes used to predict the transmission state, whether it is jam data transmission or sensing data. After that, the sensing data is applied for network training that predicts the intermediate attacks. In addition to this, the channel access algorithm is used to validate the channel for every access that minimizes unauthorized access. After validating the channel according to the neural network, data have been transmitted over the network. The defined process is implemented, and the system minimizes different attacks on various levels of energy consumption. The effectiveness of the system is implemented using TensorFlow, and the system ensures the 99.02% of detection rate when compared with other techniques. (shrink)

This paper describes a global pattern of declining academic freedom, often driven by powerful political interference with core functions of academic communities. It argues that countering threats to academic freedom requires doubling down on ethics, specifically standards of justice and fairness in pursuing knowledge and assigning warrant to beliefs. Using the example of the selection of a Qatari university to host the 2024 World Congress of Bioethics, the authors urge fairness towards diverse groups over time and efforts to counter injustices (...) that conferences generate. (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)

BackgroundA different ethos with respect to the perception of medical ethics prevails in societies in transition such as those in the Arabian Peninsula, which makes it difficult to apply international principles of bioethics in medical practice. This study aimed to develop and psychometrically test an instrument that measures physicians’ awareness of bioethics and medical law and their attitudes towards the practice of medical ethics. Additionally, it examined physician correlates influencing the awareness of bioethics.MethodsFollowing a rigorous review of relevant literature by (...) a panel of experts, a 13-item instrument, the Omani physicians’ bioethics and medical law awareness (OBMLA) questionnaire was developed with the aim of assessing physicians’ awareness of bioethics and medical law. The study tool’s construct validity and internal consistency reliability were examined by exploratory factor analysis (EFA) and Cronbach’s alpha. In a cross-sectional study, the questionnaire was distributed among a random sample of 200 physicians at a tertiary hospital in Muscat, Oman. Participant characteristics that may influence awareness of bioethics and medical law were explored.ResultsThe EFA of the OBMLA questionnaire resulted in three well-loading factors: (1) Physicians’ bioethics practice subscale (2) incentive related bioethics subscale and (3) medical law awareness subscale. Internal consistency reliability ranged between Cronbach’s α: 0.73–0.8. Of the total 200 participants, 52% reported that teaching medical ethics during medical school was inadequate. The overall mean (standard deviation, SD) of the bioethics awareness score and Omani medical law awareness were 27.6 (3.5) and 10.1 (2.1) respectively. The majority of physicians (73%) reported that they frequently encountered ethical dilemmas in their practice and 24.5% endorsed the view that unethical decisions tended to occur in their practice.ConclusionThe study provides an insight into the practice of bioethics, and the awareness of bioethics and medical law among physicians in a teaching hospital in Oman. The OBMLA questionnaire appears to be a valid and reliable tool to assess a physician’s awareness of bioethics and medical law. In this preliminary study, it appears that participants have suboptimal scores on the indices which measure practice and awareness of bioethics and medical law. (shrink)

Leadership studies on corporate ethical behavior and practices have grown considerably, contributing significant knowledge on ethical leadership challenges that are organizational and industry focused. However, complex socio-ecological systems are placing pressure on organizational culture and old patterns of leadership behavior that play a role in organizational justice. In this study, we argue that scholars of business ethics must consider the role of organizational justice and use person-organization fit (P–O fit). To address this, our study investigates the mediating effect of organizational (...) justice on the relationship between ethical leadership and employees’ ethical behavior. We also examine the moderating role of P–O fit on the relationship between organizational justice and employee’s ethical behavior. The study survey focused on 295 employees belonging to organizations in Iraq. We show that ethical leadership positively influences employees’ ethical behavior, and this relationship is shaped by organizational justice. The findings reflect the positive impact of organizational justice on ethical behavior, and this relationship is more pronounced in employees with high rather than low P–O fit. This study clarifies the importance of employee’s P–O fit and its impact on organizational processes for creating a positive impact on ethical behavior in the workplace. We also share practical implications of the study and recommend systemic research that explores this area. (shrink)

BackgroundUncertainty intolerance (IU), the tendency to think or react negatively toward uncertain events may have implication on individuals’ mental health and psychological wellbeing. The Intolerance of Uncertainty Scale-12 (IU-12) is commonly used across the globe to measure IU, however, its’ psychometric properties are yet to be evaluated in Iran with a Persian-speaking population. Therefore, the purpose of this research was to translate and validate the IU-12 among Iranian undergraduate students.Materials and MethodsThe multi-stage cluster random sampling was employed to recruit 410 (...) Iranian undergraduate students (260 females) from the Azad University to complete the IU-12, the Depression Anxiety Stress Scale-2, and the Penn State Worry Questionnaire in a cross-sectional design. In this study, face validity, content validity, construct validity, and concurrent validity were measured and Construct Reliability (CR) and Cronbach’s alpha were used to measure reliability.ResultsThe impact score of the translated IU-12 indicated acceptable face validity (value of impact score was greater than 1.5). The value of Content Validity Index (CVI) and the value of Content Validity Ratio (CVR) were above 0.7 and 0.78, respectively. The values of CVI and CVR indicated the items had acceptable content validity and were deemed essential to the measure. The measurement model analysis showed the measure with two subscales had good fit indices (CMIN/df = 2.75, p < 0.01, RMSEA = 0.07, TLI = 0.94, CFI = 0.95, GFI = 0.94). A Confirmatory Factor Analysis (CFA) indicated the scale was composed of the two subscales found in the English-version of the scale (prospective anxiety and inhibitory anxiety), and no items were removed from the scale. The values of CR (0.86) and Cronbach’s alphas (0.89) showed the measure had appropriate internal consistency.ConclusionThe findings support the psychometric properties of the Persian version of the IU-12. This scale could be used to reliably and accurately measure uncertainty intolerance among undergraduate students in Iran. (shrink)

Visual cryptography is a cryptographic technique that allows visual information to be encrypted so that the human optical system can perform the decryption without any cryptographic computation. The halftone visual cryptography scheme (HVCS) is a type of visual cryptography (VC) that encodes the secret image into halftone images to produce secure and meaningful shares. However, the HVC scheme has many unsolved problems, such as pixel expansion, low contrast, cross-interference problem, and difficulty in managing share images. This article aims to enhance (...) the visual quality and avoid the problems of cross-interference and pixel expansion of the share images. It introduces a novel optimization of color halftone visual cryptography (OCHVC) scheme by using two proposed techniques: hash codebook and construction techniques. The new techniques distribute the information pixels of a secret image into a halftone cover image randomly based on a bat optimization algorithm. The results show that these techniques have enhanced security levels and make the proposed OCHVC scheme more robust against different attacks. The OCHVC scheme achieves mean squared error (MSE) of 95.0%, peak signal-to-noise ratio (PSNR) of 28.3%, normalized cross correlation (NCC) of 99.4%, and universal quality index (UQI) of 99.3% on average for the six shares. Subsequently, the experiment results based on image quality metrics show improvement in size, visual quality, and security for retrieved secret images and meaningful share images of the OCHVC scheme. Comparing the proposed OCHVC with some related works shows that the OCHVC scheme is more effective and secure. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

BackgroundObstetrics and gynaecology always has reputation for being a highly litigious. The field of obstetrics and gynaecology is surrounded by different circumstances that stimulate the doctors to practice defensive medicine.MethodsThis study was directed to assess the extent and the possible effect of defensive medicine phenomenon on medical decision making among different grades of obstetric and gynaecologic Sudanese doctors, and to determine any experience of medical litigations with respect to sources and factors associated with it.ResultsA total of 117 doctors were approached, (...) their distribution according to job description was as follow: consultants registrars and specialists. The majority 89.7 % had the impression that litigation against doctors are increasing and 27.6 % had a direct experience of litigation. In this study less than one half of the surveyed doctors knew the concept of defensive medicine and 71.8 % reported practicing one or another form of defensive medicine. The different sources of the litigations reported by the doctors included: maternal death, perinatal death, other {misdiagnosis, intra-uterine fetal death, uterine perforation, rupture uterus}, fetal distress, injury to viscera and shoulder dystocia. In this study the experience of medical litigation was significantly observed among those who worked in area of blame culture. In logistic regression model, there was no significant difference between those who knew the concept of defence medicine and those who didn’t.ConclusionThere should be strategic plan to reduce the practice of defensive medicine and medical litigation against doctors. (shrink)

With the rapid growth of informatics systems’ technology in this modern age, the Internet of Things (IoT) has become more valuable and vital to everyday life in many ways. IoT applications are now more popular than they used to be due to the availability of many gadgets that work as IoT enablers, including smartwatches, smartphones, security cameras, and smart sensors. However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT (...) systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. The dynamic communications resulted from the limited resources of these devices, such as their data storage and processing units. Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. The main ongoing research issue is developing a model capable of protecting the network from DDoS attacks that is sensitive to various classes of DDoS and can recognize legitimate traffic to avoid false alarms. Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. The RNN, CNN, LSTM, and CNN-BiLSTM are implemented and tested to determine the most effective model against DDoS attacks that can accurately detect and distinguish DDoS from legitimate traffic. The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. The CICIDS2017 dataset includes benign and up-to-date examples of typical attacks, closely matching real-world data of Packet Capture. The four models are tested and assessed using Confusion Metrix against four commonly used criteria: accuracy, precision, recall, and F-measure. The performance of the models is quite effective as they obtain an accuracy rate of around 99.00%, except for the CNN model, which achieves an accuracy of 98.82%. The CNN-BiLSTM achieves the best accuracy of 99.76% and precision of 98.90%. (shrink)

Errors have been the concern of providers and consumers of health care services. However, consumers' perception of medical errors in developing countries is rarely explored. The aim of this study is to assess community members' perceptions about medical errors and to analyse the factors affecting this perception in one Middle East country, Oman.

As international trade and business opportunities grow globally, insight into trading partners’ strategies is essential. One of the major strategies that impact trading partners’ relationships is negotiation strategy employed by each partner. These strategies assume even greater importance when these strategies have ethical content. This study examines the effects of marketing executives’ preferred ethical ideologies, opportunism and Machiavellianism on their perceived appropriateness of unethical negotiation tactics. Utilizing a sample of 995 marketing executives from six countries, cluster analysis and multivariate analysis (...) of variance revealed two types of marketing negotiators: principled and corrupt negotiators. Corrupt negotiators tend to be more Machiavellian, more relativist, more opportunistic and less idealistic than their principled counterparts. Principled negotiators tend to perceive unethical negotiation tactics less favorably than their corrupt counterparts. Implications of these results for practitioners and directions for future research are discussed. (shrink)

As emphasised in Islamic sources, justice is one of the most important issues covered in the religion of Islam. In fact, justice is a central theme in Islam and has a special value in this regard. Conversation about justice and its nature, as well as its realisation in human communities, has been thus far a necessity in human life. Actually, the establishment and implementation of justice in all areas are crucial for the utopia. Given the importance of this subject, the (...) present study aims to determine and explain the components of the justice-oriented Islamic community based on the teachings of Nahj al-Balaghah. Therefore, the components that introduce justice orientation in the Islamic community are extracted from the sermons, letters and wise sayings (viz. narrations) of Nahj al-Balaghah. Afterward, the extracted components are classified based on the similarity of the themes and concepts. In the end, five classifications are introduced, including distributive justice, procedural justice, interactional justice, social justice and fairness.Contribution: Based on the determined indices, the model of justice-oriented Islamic community is developed. It is thus recommended to pay more attention to the realisation of a justice-oriented Islamic community by researchers and leaders. This is mainly because of the fact that the opposite of a justice-oriented community is one with injustice, where oppression and disrespect for the rights of others occur, divine blessings change, divine wrath and anger are provoked and destruction approaches. (shrink)

The method of evaluation of technical and economic indicators for the development of gas condensate field tested in the branch system of enterprises of PJSC "Ukrgazvydobuvannya" is considered, which is supplemented and simplified for obtaining approximate estimates in the case of annual natural or artificial changes in the gas condensate factor and thermobaric states of the extracted fluid during the operational period of the late stage. Targeted changes in the algorithms of calculations of basic technical and economic indicators, especially for (...) partially exhausted deposits, which have become permanent in operation with compressed compressor stations and fixed pressure on the wells, are used, dry gas is used for returning to the formation or dehumidification of the hinterland. The main factors of influence on the final results of the technical and economic evaluation are determined. Improvement of the technique of an approximate estimation of technical and economic indicators of the development of the gas condensate deposit facility for the possibility of adaptation of calculations at the late stage, which usually involves the operation of the SCS, the use of PPE technologies, the drying of the faces by high-pressure gas, and artificial adjustment of the working pressures of wells. The changes in the results of technical and economical calculations are taken into account when taking into account the parameters of the DKS, PPD, thermobaric intensification for the possibility of use in production and in the educational process. (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)

The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in Gaza Strip, (...) Palestine. The researchers used the stratified random sample method and the multiple regression method to measure the effect. The study concluded a set of results, the most important of which is a positive evaluation among respondents about the levels of application of tools to detect and prevent job fraud within MOH, and the presence of a high interest in tools to prevent job fraud during the implementation of its various work. The study recommended the necessity for the Palestinian National Authority to develop and approve laws regulating health sector, so that those laws guarantee the prevention of conflicts of interest, especially for the category of doctors, by preventing job duplication of doctors working in the government sector. Also study recommended the need for MOH to adopt principles of health sector governance and begin immediately to implement them. This process to ensure transparency, disclosure and accountability in the business framework in a manner that realizes the effective protection of stakeholders and does not compromise or discriminate in the application of these principles, which ensures that all forms of job fraud are organized in an organized manner and within fixed legal frameworks. (shrink)

PurposeThis paper scrutinizes the impact of socioeconomic, political, legal and religious factors on the internal ethical values of human rights organizations worldwide. The authors aim to examine the Code of Ethics for 279 HROs in 67 countries and the social and legal settings in which they operate.Design/methodology/approachUsing the framework of protect, respect and remedy, the authors look for keywords that represent the human rights lexicon in these three areas. In the protection of human rights, the authors select the terms: peace, (...) transparency, freedom and security. For the respect of humans, the authors use the terms: dignity, equality, respect and rights. Sources of remedies come from justice and ethics. The analysis seeks to determine what political economy settings drive the ethical value choices of the organizations. Those choices are proxied by those keywords they mention in their Code of Ethics.FindingsThe analysis show that the scope of ethical values mentioned are higher when the HRO is in a country with more domestic violence, lower income inequality, French civil or Islamic legal origin and higher trust in politicians. In regard to the determinants of the ten keywords individually, the authors conclude that the status of the socioeconomic, political, religious and legal settings impact with local HROs mention each of the keywords: peace, justice, transparency, dignity, equality, ethics, respect, freedom, security and rights.Research limitations/implicationsThe analysis is based on HROs that have a webpage in English and list the employee Code of Conduct.Originality/valueThis study is the first to examine the Code of Ethics for HROs. The authors demonstrate that country-specific characteristics help to drive their internal ethical values. (shrink)

The Iraqi constitution of 2005 grants freedom of religious thought, belief and practice for all religions. This study was also based on the premise that the constitutional rights are not adhered to in Iraq, even by government officials, which could be due to the absence of suitable legislations subsequent to the framing of the constitutional provisions. An analytical and descriptive research design was adopted for this study. Data was collected from primary and secondary sources through documentation research and evaluation of (...) historical sources. The primary data comprised Articles of the Iraqi constitution, and a few national and international legal instruments related to religious freedom. Secondary data included empirical research studies, books, articles and other published sources. This study therefore took the form of an empirical legal research as it involved the issues of constitutional reforms in the field of religious freedom. A comparative approach was adopted in analyzing the documents about religion and politics related to both the Arab region and the West. The focus was on the measures that should be adopted to advance the dialogues of religious freedom and maintain religious neutrality in all government policies. The study found out that there were apparent contradictions between the constitutional provisions and the State Laws. Similarly, the Iraqi civil and penal codes remain silent regarding legal remedies for the violation of constitutional provisions. (shrink)

Floods are one of the most common natural disasters in the world that affect all aspects of life, including human beings, agriculture, industry, and education. Research for developing models of flood predictions has been ongoing for the past few years. These models are proposed and built-in proportion for risk reduction, policy proposition, loss of human lives, and property damages associated with floods. However, flood status prediction is a complex process and demands extensive analyses on the factors leading to the occurrence (...) of flooding. Consequently, this research proposes an Internet of Things-based flood status prediction (IoT-FSP) model that is used to facilitate the prediction of the rivers flood situation. The IoT-FSP model applies the Internet of Things architecture to facilitate the flood data acquisition process and three machine learning (ML) algorithms, which are Decision Tree (DT), Decision Jungle, and Random Forest, for the flood prediction process. The IoT-FSP model is implemented in MATLAB and Simulink as development platforms. The results show that the IoT-FSP model successfully performs the data acquisition and prediction tasks and achieves an average accuracy of 85.72% for the three-fold cross-validation results. The research finding shows that the DT scores the highest accuracy of 93.22%, precision of 92.85, and recall of 92.81 among the three ML algorithms. The ability of the ML algorithm to handle multivariate outputs of 13 different flood textual statuses provides the means of manifesting explainable artificial intelligence and enables the IoT-FSP model to act as an early warning and flood monitoring system. (shrink)

Using Least Square Residual Minimization techniques, this paper develops an optimal reserve model, known as the OPREM model, which is essential in optimizing the costs of reserve holding. The paper also sets-out to test and compare the relative predictions of economic trends of the OPREM model as well as the predictions of alternative models in literature. Establishing the predictive accuracy of economic trends of these models are crucial for the gradual and cost-effective accumulation of reserves. The research concludes that, the (...) decision to optimize the cost of reserves under a stable currency environment is reliant on the gold impact factor and not on inflation or interest rates. We also found on further analysis of the OPREM that the OPREM model is better positioned to eliminate the procyclicality and perverse rush in reserve build-ups experienced in developing and emerging countries by effectively setting the reserve stock against economic trends. The research fixes the optimal reserves around a benchmark of 0.7–1.2 of previous year's optimal value. However, in the absence of past optimal values, a benchmark between 2 and 6 times of average inflows for short-term analysis or analysis with small data observations. However, for long-term analysis or analysis with large data frequency, the reserve stock should be fixed on a benchmark of 2–9 times of the average inflows. (shrink)

This study delves into the use of impoliteness strategies within emails sent by undergraduate and postgraduate students to their professors, aiming to discern the variance in their implementation based on (Culpeper and Hardaker’s. 2017. Impoliteness. In: Culpeper, Jonathan, Haugh, Michael and Daniel Kadar (eds.), The Palgrave handbook of linguistic (im) politeness, 199–225. Basingstoke: Palgrave) model. Data, comprising emails from University of Jordan students and semi-structured interviews, underwent analysis to identify impoliteness strategies and themes. Findings indicate a higher prevalence of impolite (...) strategies among undergraduates, totaling 58 instances compared to 38 among postgraduates. Particularly, undergraduates exhibit a greater tendency toward positive impoliteness. Thematic analysis of interviews unveils three contributing factors: work experience, participation in writing skills courses, and familiarity with formality levels. Notably, undergraduates’ lack of work experience contrasts with postgraduates’, often impacting their email etiquette. Moreover, postgraduates’ extensive enrollment in writing courses during MA studies fosters a more formal approach in communication with professors. The study underscores implications for future research, emphasizing the need to explore these dynamics further. By comprehending the influences on students’ email behavior, institutions can devise tailored interventions to promote effective and respectful communication within academic setting. (shrink)

Introduction There is a paramount need for moral development for pharmacists and pharmacy students to practice the patient-centered profession. We aimed to explore the current situational judgment utilizing ethical reasoning among undergraduate pharmacy students. Methods A set of ten ethical dilemmas, representing potential real-life situations that the students come across in the university and may face in the future as a pharmacist were developed by a team of students, academic staff, and stakeholders. These ethical dilemmas were validated, checked for accuracy, (...) and piloted. An online questionnaire was created consisting of these ten scenarios as open-ended questions and administered to fourth year and fifth year PharmD students in a public university located at the city of Mecca, Saudi Arabia, asking them how they would react in that situation. Responses of the participants were analyzed using thematic analysis independently by four researchers and inter-rater agreement were achieved through consensus. Results Out of 205, 186 students completed the questionnaire with a response rate of 90.7%. Analysis and resulted in the generation of 32 codes, which were then categorized into seven overarching themes: student engagement, social and professional responsibility, academic integrity, legal obligation, moral obligation, signposting, and moral engagement and patient safety. Conclusions Undergraduate pharmacy students experience complex state of mind in connection with ethical reasoning. The participants’ situational judgment were driven by cultural norm, authority, and responsibility. Student engagement is also affected by the state of mind and feelings of mutual trust, perceived cultural influence and peer pressure. The students were prone to seek help from university administrators or teachers when faced with situations in which they were helpless. (shrink)

In this article, we present a one-step hybrid block method for approximating the solutions of second-order fuzzy initial value problems. We prove the stability and convergence results of the method and present several examples to illustrate the efficiency and accuracy of the proposed method. The numerical results are compared with the existing ones in the literature.

The Islamic finance industry is relatively new and vibrant. It is becoming a mainstream industry in the MENA. The industry is based on a number of Sharia’a maxims and in particular the prohibition of Riba. Islamic law scholars’ emphasis on the ethical dimension of this industry and how it can be seen as a solution to existing capitalism. The current financial crisis presented this industry with an unprecedented test and an opportunity to influence and merge into main stream finance. This (...) paper presents an evaluation of Islamic finance industry in the current financial crisis and whether the governance and ethical foundation of Islamic finance institutions distinguished itself from conventional finance. Thus, this paper begins with an overview of Islamic finance, then it discusses the governance framework structure of Islamic finance institutions and the role of its organs. In addition, this paper will compare between the ethical framework of the Islamic finance institutions and the conventional institutions. Finally, this paper will discover the ethical failure of the current global financial system and its relation with the current financial crisis. (shrink)

This book offers the first comprehensive introduction to one of the most significant Arab thinkers of the late 20th century and the early 21st century: the Moroccan philosopher and social theorist Mohammed Abed al-Jabri. With his intellectual and political engagement, al-Jabri has influenced the development of a modern reading of the Islamic tradition in the broad Arab-Islamic world and has been, in recent years, subject to an increasing interest among Muslims and non-Muslim scholars, social activists and lay men. The (...) contributors to this volume read al-Jabri with reference to prominent past Arab-Muslim scholars, such as Ibn Rushd, al-Ghazali, al-Shatibi, and Ibn Khaldun, as well as contemporary Arab philosophers, like Hassan Hanafi, Abdellah Laroui, George Tarabishi, Taha Abderrahmane; they engage with various aspects of his intellectual project, and trace his influence in non-Arab-Islamic lands, like Indonesia, as well. His analysis of Arab thought since the 1970s as a harbinger analysis of the ongoing “Arab Spring uprising” remains relevant for today's political challenges in the region. (shrink)

This article seeks to address and dispel some of the popular myths and misconceptions surrounding authorship of a scientific publication as this is often misconstrued by beginners in academia especially those in the developing world. While ethical issues in publishing related to authorship have been increasingly discussed, not much has been written about the myths and misconceptions of who might be an author. Dispelling these myths and misconceptions would go a long way in shaping the thoughts and plans of students, (...) junior faculty and researchers in academia especially in the developing world. (shrink)

ObjectiveWe aimed to provide an overview of the psychological status and behavioral consequences of the lockdown during the COVID-19 pandemic in Libya.MethodsA cross-sectional study was conducted among the Libyan population through May and June 2020 in more than 20 cities. The survey comprised basic demographic data of the participants and anxiety symptoms measured using the seven-item Generalized Anxiety Disorder scale with ≥15 as the cut-off score for clinically significant anxiety symptoms. Additionally, a survey regarding the lockdown effect was administered, which (...) consisted of several parts, to measure the lockdown status.ResultsA total of 8084 responses were recorded, of which, 5090 were women and 2994 were men. The mean age for study participants was 27.2 years. Among the participants, 1145 reached the cut-off score to detect anxiety symptoms; however, of the study variables, only five were predictors of clinically significant anxiety: age, gender, marital status, work status, being a financial supporter for the family, and being infected with COVID-19. Women had 1.19 times higher odds to exhibit anxiety symptoms than men. Increasing age was significantly associated with reduced likelihood of exhibiting anxiety symptoms, whereas being married was significantly associated with higher likelihood of anxiety symptoms, compared to not being married. Being suspended from work was associated with an increase in the likelihood of anxiety symptoms. However, we found that being infected with COVID-19 was associated with a 9.59 times higher risk of exhibiting severe anxiety symptoms. Among the study participants, 1451 reported a physical and/or verbal abuse episode from family members, 958 reported abuse outside the family, and 641 reported abuse from enforcers, during the lockdown.ConclusionOur study provided an overview of the psychological and behavioral status, among those who resided in Libya during the civil war and COVID-19 pandemic. The study demonstrates a concerningly high level of clinically significant anxiety during lockdown among the Libyan population during Libya’s lockdown period. (shrink)

In order to reduce the dimensionality of parameter space and enhance out-of-sample forecasting performance, this research compares regularization techniques with Autometrics in time-series modeling. We mainly focus on comparing weighted lag adaptive LASSO with Autometrics, but as a benchmark, we estimate other popular regularization methods LASSO, AdaLASSO, SCAD, and MCP. For analytical comparison, we implement Monte Carlo simulation and assess the performance of these techniques in terms of out-of-sample Root Mean Square Error, Gauge, and Potency. The comparison is assessed with (...) varying autocorrelation coefficients and sample sizes. The simulation experiment indicates that, compared to Autometrics and other regularization approaches, the WLAdaLASSO outperforms the others in covariate selection and forecasting, especially when there is a greater linear dependency between predictors. In contrast, the computational efficiency of Autometrics decreases with a strong linear dependency between predictors. However, under the large sample and weak linear dependency between predictors, the Autometrics potency ⟶ 1 and gauge ⟶ α. In contrast, LASSO, AdaLASSO, SCAD, and MCP select more covariates and possess higher RMSE than Autometrics and WLAdaLASSO. To compare the considered techniques, we made the Generalized Unidentified Model for covariate selection and out-of-sample forecasting for the trade balance of Pakistan. We train the model on 1985–2015 observations and 2016–2020 observations as test data for the out-of-sample forecast. (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)

The Yogic literatures are replete with examples of several unique mystical experiences in deeper states of meditation. These experiences have nevertheless remained largely untouched by the scientific community, possibly because of the extreme inexplicability of such states and the lack of sophistication in evaluating them. More amenable to scientific research, however, would seem to be the simpler states of awareness in meditation such as that of inner light perception. While a few studies have attempted to explore this state by objective (...) means, the subjective experience of this state remains largely unexplored. The present study originates from an interesting sub-theme identified in an earlier study focused on interpretative phenomenological analysis of the experience of inner light perception among Vihangam Yogis. The original study found that the Yogis were very confident in differentiating their experience of inner light perception from other similar experiences. It was thus decided to use IPA to explore the clarity of the differences perceived by the Vihangam Yogis between these experiences. The present study reveals that the meditators could clearly differentiate the state colloquially termed “inner light perception” from external light perception, imagination and dreams. The meditators gave detailed descriptions of their perception of the differences between these experiences, which suggests that the subjective state of inner light perception could be quite different from that of those experiences which the authors have termed differentials of inner light perception. The conclusion reached is that, in addition to further empirical study by means of the traditional modalities and measures, vigorous qualitative study of the subjective dimensions of the state of inner light perception is warranted, with this study indicating that IPA is especially effective in the latter regard. (shrink)

_Islamicate Occult Sciences in Theory and Practice_ presents the latest research on Islamic occult sciences from a variety of disciplinary perspectives, namely intellectual history, manuscript studies and material culture.

Disclosure of health information is a sensitive matter, particularly in the context of serious illness. In conservative societies—those which predominate in the developing world—direct truth disclosure undoubtedly presents an ethical conundrum to the modern physician. The aim of this study is to explore the truth disclosure practices of physicians in Jordan, a developing country. In this descriptive, cross-sectional study, 240 physicians were initially selected by stratified random sampling. The sample was drawn from four major hospitals in Amman, Jordan. A closed-ended (...) questionnaire was distributed and completed by self-report. A total of 164 physicians completed the questionnaire. Thirty-seven physicians usually withheld the diagnosis of “serious illness” from patients, while 127 physicians usually divulged the information directly. Among the latter, 108 physicians made exceptions to their disclosure policy. Specialists were more likely to withhold health information. Non-disclosure was primarily motivated by request from the patient’s family. In twenty cases, non-disclosure was undertaken independently. In conclusion, most respondents opt to disclose the truth; however, the vast majority of these respondents make exceptions. Instances of non-disclosure are primarily motivated by sociocultural constructs. (shrink)

The Arabic original of the ninth-century Kitāb al-Nawāmīs has not been discovered, save for three incomplete chapters. We have access to a fuller version only through a Latin translation, often known as the Liber vaccae, a title derived from its notorious experiments which involve the gruesome slaughter and mutilation of a cow to magically produce a rational animal or bees. Recent research on the Liber vaccae has focused mostly on its reception in medieval and early modern Europe. By contrast, the (...) present article explores the Indo-Arabic tradition to which Kitāb al-Nawāmīs belongs, as a re-orientation of the Liber vaccae established on two levels: textual and theoretical. Section I, on 'Texts and Practices', introduces ʿUyūn al-ḥaqāʾiq of Abū al-Qāsim al-ʿIrāqī, a text on magical practices which contains 26 chapters that correspond to sections in the Liber vaccae, affording us a glance into the Arabic reception of Kitāb al-Nawāmīs and bringing us closer to the Arabic original. The textual connection is established further by highlighting parallels between the experiments of the Liber vaccae / Kitāb al-Nawāmīs and other texts on natural magic, namely Ghāyat al-ḥakīm of Maslama al-Qurṭubī and Kitāb al-Sumūm by Ibn Waḥshiyya. Section II investigates the theoretical bases of the Liber vaccae / Kitāb al-Nawāmīs, by associating its content with the theories of spontaneous and artificial generation in Kitāb al-Tajmīʿ attributed to Jābir ibn Hayyān, Ghāyat al-ḥakīm, Kitāb al-Sumūm and, finally, another work by Ibn Waḥshiyya, al-Filāḥa al-nabaṭiyya. Jābir's and al-Qurṭubī's works have been studied in relation to the Liber vaccae by David Pingree, Maaike Van der Lugt, Sophie Page and William Newman; their findings are re-evaluated here in light of the texts of Ibn Waḥshiyya and al-ʿIrāqī. (shrink)

There are two types of stock price manipulation examined in the theoretical literature: insider trading, which involves private information that is true and the public spreading of fraudulent false information. While there is a large empirical literature on insider trading, this is the first empirical article to examine the impact of false, fraudulent public information on stock prices and trading volume. We find that such false information, even after being denied by a credible source such as the SEC, generates both (...) abnormal returns and abnormal trading volume. We also find that the effects of the false information on security returns and volume can be persistent for at least 2 weeks. In addition, we show that perpetrators of false news attacks can make potentially large profits from such market manipulations. (shrink)