Software defects prediction at the initial period of the software development life cycle remains a critical and important assignment. Defect prediction and correctness leads to the assurance of the quality of software systems and has remained integral to study in the previous years. The quick forecast of imperfect or defective modules in software development can serve the development squad to use the existing assets competently and effectively to provide remarkable software products in a given short timeline. Hitherto, several researchers have (...) industrialized defect prediction models by utilizing statistical and machine learning techniques that are operative and effective approaches to pinpoint the defective modules. Tree family machine learning techniques are well-thought-out to be one of the finest and ordinarily used supervised learning methods. In this study, different tree family machine learning techniques are employed for software defect prediction using ten benchmark datasets. These techniques include Credal Decision Tree, Cost-Sensitive Decision Forest, Decision Stump, Forest by Penalizing Attributes, Hoeffding Tree, Decision Tree, Logistic Model Tree, Random Forest, Random Tree, and REP-Tree. Performance of each technique is evaluated using different measures, i.e., mean absolute error, relative absolute error, root mean squared error, root relative squared error, specificity, precision, recall, F-measure, G-measure, Matthew’s correlation coefficient, and accuracy. The overall outcomes of this paper suggested RF technique by producing best results in terms of reducing error rates as well as increasing accuracy on five datasets, i.e., AR3, PC1, PC2, PC3, and PC4. The average accuracy achieved by RF is 90.2238%. The comprehensive outcomes of this study can be used as a reference point for other researchers. Any assertion concerning the enhancement in prediction through any new model, technique, or framework can be benchmarked and verified. (shrink)

_The Belt and Road initiative was announced in 2013 under the administration of China’s President, Xi Jinping. It was designed to fulfill the aim of interconnecting Asia, Europe, and Africa through reliable connectivity networks. In reaction to it, the 47 th summit of G7 in June 2021 has given a response to this Chinese Initiative with the idea of Build Back Better World (B3W). G7 tried to show that the world can have an alternative to BRI. The main objective of (...) the study was to compare the feasibility of these two massive infrastructural projects. It is a qualitative document analysis of the previously published material on the related theme, that highlighted a competition of economic supremacy between the US and China. The research found that BRI was gaining enough popularity as compared to B3W in the eyes of the world specifically in connecting different regions._. (shrink)

The Indonesian Ulema Council (MUI) has issued an illegitimate fatwa against smoking in mosques because it endangers the health of worshippers and interferes with the comfort of worshippers. This study aims to investigate smoking behaviour in mosques and violations of fatwas from ulama and governor regulations. This study follows a cross-sectional design conducted by interviewing 531 Muslims who have prayed in the mosque for the last 14 days and observed the compliance of the mosque in implementing a smoke-free policy in (...) 315 mosques. Frequency distribution and cross-tabulation were carried out using JASP 16 software using cross-tabulation. The results of this study indicate that the implementation of the smoke-free policy for mosques in Medan has been violated many times (57.8%), especially the violation regarding smoking in mosques (32.1%); cigarette butts were still found in the yard of the mosque (44.1%). Violations of the policy of fatwa smoke-free areas occurred in public mosques (61%) and muhammadiyah mosques (46.5%). Smoking behaviour in mosques was seen in the last 2 weeks, namely smoking behaviour carried out by worshippers (57.6%), smoking behaviour carried out by mosque administrators (39.2%), smoking behaviour carried out by community leaders in mosques (19.4%) and smoking behaviour that ulemas carried out in mosques (14.3%). Worshippers must comply with the rules against smoking in mosques because it can endanger the health of other worshippers. Cigarette smoke in the mosque will make other worshippers uncomfortable to worship so that it can damage the solemnity of the congregation to worship in the mosque. Contribution: This study is expected to explain smoking behaviour in mosques, violations of smoking behaviour in mosques that violate the ulama’s fatwa regarding smoking behaviour in mosques and the governor’s regulation on smoking behaviour in mosques. (shrink)

Intersex being a birth impairment in human babies is a fact of humanprecreation. Opposed to normal birth of humans as males and females incidentsof babies with vague gender identity have perturbed people and families asto how to socially place them within the binary system of men and womenin the community. In Islam, it is more important in view of the genderedorientation of some Islamic laws and its system of social ethics. Accordingly,jurists formulated an Islamic blueprint to manage this segment. However,their (...) main criteria to align such individuals to one of the normal genders wereinadequate to assign a specific sex to all intersex. Medical science, on the otherhand, proposes not only to achieve precise diagnoses of intersex conditionsbut also to manage them medically. Accordingly, Muslim jurists and muftisby and large celebrated this medical solution as a better remedy to resolve thisjuridical perplexing question. This study, however, argues that juristic stamp ofapproval needs to be more ethically grounded so as to avoid pitfalls inherent inthis medical innovation. (shrink)

The hybridization of two or more energy sources into a single power station is one of the widely discussed solutions to address the demand and supply havoc generated by renewable production, heating power, and cooling power) and its energy storage issues. Hybrid energy sources work based on the complementary existence of renewable sources. The combined cooling, heating, and power is one of the significant systems and shows a profit from its low environmental impact, high energy efficiency, low economic investment, and (...) sustainability in the industry. This paper presents an economic model of a microgrid system containing the CCHP system and energy storage considering the energy coupling and conversion characteristics, the effective characteristics of each microsource, and energy storage unit is proposed. The random forest regression model was optimized by the gravitational search algorithm. The test results show that the GSA-RFR model improves prediction accuracy and reduces the generalization error. The detail of the MG network and the energy storage architecture connected to the other renewable energy sources is discussed. The mathematical formulation of energy coupling and energy flow of the MG network including wind turbines, photovoltaic, CCHP system, fuel cell, and energy storage devices are presented. The testing system has been analysed under load peak cutting and valley filling of energy utilization index, energy utilization rate, the heat pump, the natural gas consumption of the microgas turbine, and the energy storage unit. The energy efficiency costs were observed as 88.2% and 86.9% with heat pump and energy storage operation comparing with GSA-RFR-based operation costs as 93.2% and 93% in summer and winter season, respectively. The simulation results extended the rationality and economy of the proposed model. (shrink)

The novel coronavirus (COVID-19) has imperatively shaken the behavior of the global financial markets. This study estimated the impact of COVID-19 on the behavior of the financial markets of Europe and the US. The results revealed that the returns of the S&P 500 index have been greatly affected by a lockdown in the US owing to COVID-19. However, the health crisis generated due to the novel coronavirus significantly decreased the stock returns of the Nasdaq Composite index. The results also showed (...) that the economic crisis generated from the pandemic in Spain has had more impact on the IBEX 35 as compared to the health crisis itself. On the other hand, in the long-run, Italy’s stock markets are more affected by the health crisis as contrasted with the economic crisis, while, in the short-run, both lockdown conditions and economic instability lower the stock returns of FTSE MIB. The UK stock markets witnessed that in the short-run, deficiency of health management systems imperatively damaged the stock returns of the London Stock Exchange. The investigation revealed that deficiency of health systems and lockdown conditions have imperatively damaged the structure of financial markets, inferring that sustainable development of these nations is at risk due to COVID-19. The study suggested that governments should allocate more of their budget to the health sector to overcome a health crisis in the future. (shrink)

The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decision making (MCDM) method. The new ranking method for trapezoidal linguistic cubic fuzzy numbers (TrLCFNs) are used to rank the alternatives. Finally, an illustrative example is given to verify and prove the practicality and effectiveness of the proposed method.

Workers can be fired from jobs, citizens sent to jail, and adolescents more likely to experience depression, all because of algorithms. Algorithms have considerable impacts on our lives. To increase user satisfaction and trust, the most common proposal from academics and developers is to increase the transparency of algorithmic design. While there is a large body of literature on algorithmic transparency, the impact of unethical data collection practices is less well understood. Currently, there is limited research on the factors that (...) affect users’ trust in data collection practices and algorithmic transparency. In this research, we explore the relative impact of both factors as they relate to important outcome measures such as user’s trust, comfort level, and moral acceptability. We conducted two pilot studies to learn what real users consider to be ethical and unethical data collection practices, as well as high and low transparency for algorithms. We then used these findings in a 2 × 2 design to examine how transparency and the acceptability of data collection practices impact users’ acceptance, comfort, and trust in algorithms. Our results suggest that the singular emphasis on algorithmic transparency may be misplaced. Given the difference in their impact to increase acceptance, trust, and user satisfaction, a more effective strategy would be to also understand and abide by users’ views of ethical data collection practices. (shrink)

A passive brain–computer interface based upon functional near-infrared spectroscopy brain signals is used for earlier detection of human drowsiness during driving tasks. This BCI modality acquired hemodynamic signals of 13 healthy subjects from the right dorsolateral prefrontal cortex of the brain. Drowsiness activity is recorded using a continuous-wave fNIRS system and eight channels over the right DPFC. During the experiment, sleep-deprived subjects drove a vehicle in a driving simulator while their cerebral oxygen regulation state was continuously measured. Vector phase analysis (...) was used as a classifier to detect drowsiness state along with sleep stage-based threshold criteria. Extensive training and testing with various feature sets and classifiers are done to justify the adaptation of threshold criteria for any subject without requiring recalibration. Three statistical features along with six VPA features were used. The average accuracies for the five classifiers are 90.9% for discriminant analysis, 92.5% for support vector machines, 92.3% for nearest neighbors, 92.4% for both decision trees, and ensembles over all subjects’ data. Trajectory slopes of CORE vector magnitude and angle: m and m are the best-performing features, along with ensemble classifier with the highest accuracy of 95.3% and minimum computation time of 40 ms. The statistical significance of the results is validated with a p-value of less than 0.05. The proposed passive BCI scheme demonstrates a promising technique for online drowsiness detection using VPA along with sleep stage classification. (shrink)

Sir Muhammad Iqbal, 1877-1938, Urdu poet and philosopher.

With the development of wireless technology, two basic wireless network models that are commonly used, known as infrastructure and wireless ad hoc networks, have been developed. In the literature, it has been observed that channel contention is one of the main reasons for packet drop in WANETs. To handle this problem, this paper presents a routing protocol named CCBR. CCBR tries to determine a least contended path between the endpoints to increase packet delivery ratio and to reduce packet delay and (...) normalized routing overhead. Moreover, throughout the active data section, each intermediate node computes its channel contention value. If an intermediate node detects an increase in channel contention, it notifies the source node. Then the source node determines another least contended route for transmission. The advantages of CCBR are verified in our NS2-based performance study, and the results show that CCBR outperforms ad hoc on-demand distance vector in terms of packet delivery ratio, end-to-end delay, and routing overhead by 4% to 9%. (shrink)

PurposeThis study aimed to apply “multi-criteria decision approach and attitude-change theory” to examine post-COVID-19 impact on entrepreneurial mindset by investigating the link between entrepreneurs social capital and entrepreneurial success. Specifically, this study analyzed entrepreneurs' dispositional factor as an underlying mechanism to bridge trust and entrepreneurial success. Furthermore, it also analyzed entrepreneurs' situational factor as boundary condition.Design/methodology/approachWe applied time-lagged data collection from 505 industrial entrepreneurs. Survey method was used for data collection. A 7-point Likert scale was used for the respondent response. (...) Hayes developed PROCESS models 4 and 7 were used to test the hypothesis.FindingsThe direct impact of trust on three elements of the ecosystem was found significantly positive on both startup behavior and entrepreneurial success. The direct impact of startup behavior on entrepreneurial success is also significantly positive. The impact of startup behavior on indirect mediation between trust and entrepreneurial success is visibly positive. The moderated and moderated mediation impact of entrepreneurial strategy found positively significant at low and medium values. However, this study found an insignificant moderated impact at high values of entrepreneurial strategy between trust on media and startup behavior. Furthermore, this study also found insignificant moderated mediation impact at high values of entrepreneurial strategy by interacting with two elements of ecosystem through startup behavior on entrepreneurial success.Originality/valueThe authors suggested that startup behavior is an underlying mechanism through which industrial entrepreneurs trust achieved desired entrepreneurial success. The authors also suggested that the influencing role of “low level of entrepreneurial strategy” in comparison with “high level entrepreneurial strategy” is more helpful to achieve entrepreneurial success.ImplicationsThis study contributed to the literature on entrepreneurial strategy for its conditional indirect moderated impact on startup behavior and moderated mediation impact on firm entrepreneurial success. It also contributed to owners of the manufacturing industry for their startup behavior as an underlying mechanism through which trust influences entrepreneurial success. (shrink)

This research investigates the factors that affect male gamers' behavioral intention to play PlayerUnknown's Battlegrounds, which is one of the most widely played online games of today's era. We examine the factors through the lens of the hedonic consumption model and use the gratification theory to predict behavioral intention to play PUBG. Data from 248 male PUBG gamers were analyzed using PLS-SEM analyses. The study involved an initial stage where an estimation model was analyzed to assess the constructs' reliability and (...) validity. Following this, the second stage involved assessing the theoretical model to test the relationship between the principle constructs. The study found that playful-consumption experience factors, such as escapism, emotional involvement, sensory experience, enjoyment, and arousal, significantly influenced the behavioral intentions to play PUBG. The research findings further indicate that role-projection and fantasy failed to impact consumers' intention to play PUBG. This study provides both theoretical and practical implications. It fills the literature gap by focusing on predicting the behavioral intention to play PUBG through the playful-consumption experiences of a popular online multiplayer game. Practically, this study could potentially open avenues for gaming companies to address how different playful-consumption experiences impact game users' behavioral intentions. (shrink)

Though the current research stream has provided some risk factors for envy at the workplace, little is still known about the drivers and consequences of envy. Based on Vecchio’s theory, this study investigates the ripple effect of the span of supervision on envy. Moreover, it sheds light on the moderating role of meaningful work in their relationship. The data comprising sample size 439 were collected from confrères of four fast food companies listed on the Stock Exchange of Pakistan. Partial Least (...) Square Structural Equation Modeling technique was implemented through SmartPLS 3.3.2 to analyze the measurement and structural relationships. The results demonstrate that a narrow span of supervision will increase work engagement, and reduce instigated incivility via decreasing envy and resource depletion in sequence. Moreover, meaningful work would help regulate the inimical stream of dénouement of envy. Theoretical and practical implications, along with the limitations and future directions, have also been discussed. (shrink)

In modern day technology, the level of knowledge is increasing day by day. This increase is in terms of volume, velocity, and variety. Understanding of such knowledge is a dire need of an individual to extract meaningful insight from it. With the advancement in computer and image-based technologies, visualization becomes one of the most significant platforms to extract, interpret, and communicate information. In data modelling, visualization is the process of extracting knowledge to reveal the detail data structure and process of (...) data. The proposed study aim is to know about the user knowledge, data modelling, and visualization by handling through the fuzzy logic-based approach. The experimental setup is validated through the data user modelling dataset available in the UCI web repository. The results show that the model is effective and efficient in situations where uncertainty and complexity arise. (shrink)

Computer vision and human–computer interaction are essential in many technological fields. Researchers in CV are particularly interested in real-time object detection techniques, which have a wide range of applications, including inspection systems. In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector algorithm and deep learning techniques with pre-trained models. The system can detect static and moving objects in real-time and recognize the object’s class. The primary goals of this research were to investigate (...) and develop a real-time object detection system that employs deep learning and neural systems for real-time object detection and recognition. In addition, we evaluated the free available, pre-trained models with the SSD algorithm on various types of datasets to determine which models have high accuracy and speed when detecting an object. Moreover, the system is required to be operational on reasonable equipment. We tried and evaluated several deep learning structures and techniques during the coding procedure and developed and proposed a highly accurate and efficient object detection system. This system utilizes freely available datasets such as MS Common Objects in Context, PASCAL VOC, and Kitti. We evaluated our system’s accuracy using various metrics such as precision and recall. The proposed system achieved a high accuracy of 97% while detecting and recognizing real-time objects. (shrink)

Internet of Things is expanding and evolves into all aspects of the society. Research and developments in the field of IoT have shown the possibility of producing huge volume of data and computation among different devices of the IoT. The data collected from IoT devices are transferred to a central server which can further be retrieved and accessed by the service providers for analyzing, processing, and using. Industrial Internet of Health Things is the expansion of the Internet of Health Things (...) which plays an important role in observing, consulting, monitoring, and treatment process of remote exchange data processes. The linkage of computation and interoperability are supported through various intelligent sensors, controllers, and actuators. The role of parallel computing for efficient and Intelligent Industrial Internet of Health Things is obvious to analyze and process different healthcare situations. A detailed overview of this existing literature is needed through which the research community will provide new solutions for efficient healthcare with the help of IoT based on parallel computing. Therefore, the current study presents a detailed overview of the existing literature for facilitating IIoHT. (shrink)

In recent years, there has been an escalation in cases of cyber violence, which has had a chilling effect on users' behavior toward social media sites. This article explores the causes behind cyber violence and provides empirical data for developing means for effective prevention. Using elements of the stimulus–organism–response theory, we constructed a model of cyber-violence behavior. A closed-ended questionnaire was administered to collect data through an online survey, which results in 531 valid responses. A proposed model was tested using (...) partial least squares structural equation modeling using SmartPLS 3.0, v. Research findings show that information inequality is a strong external stimulus with a significant positive impact on digital distrust and negative emotion. However, the effects of information overload on digital distrust and the adverse effects of communication overload on negative emotions should not be ignored. Both digital distrust and negative emotions have significant positive impacts on cyber violence and cumulatively represent 11.5% changes in cyber violence. Furthermore, information overload, communication overload, information inequality, and digital distrust show a 27.1% change in negative emotions. This study also presents evidence for competitive mediation of digital distrust by information overload, information inequality, and cyber violence. The results of this study have implications for individual practitioners and scholars, for organizations, and at the governmental level regarding cyber-violence behavior. To test our hypotheses, we have constructed an empirical, multidimensional model, including the role of specific mediators in creating relationships. (shrink)

Internet-enabled technologies have provided a way for people to communicate and collaborate with each other. The collaboration and communication made crowdsourcing an efficient and effective activity. Crowdsourcing is a modern paradigm that employs cheap labors for accomplishing different types of tasks. The task is usually posted online as an open call, and members of the crowd self-select a task to be carried out. Crowdsourcing involves initiators or crowdsourcers, the crowd, crowdsourcing task, the process, and the crowdsourcing platform where requesters offer (...) various tasks and crowd workers complete these tasks. As the crowdsourcing is carried out in the online environment, it gives rise to certain challenges. The major problem is the selection of crowd that is becoming a challenging issue with the growth in crowdsourcing popularity. Crowd selection has been significantly investigated in crowdsourcing processes. Nonetheless, it has observed that the selection is based only on a single feature of the crowd worker which was not sufficient for appropriate crowd selection. For addressing the problem of crowd selection, a novel “ant colony optimization-based crowd selection method” is presented in this paper that selects a crowd worker based on multicriteria features. By utilizing the proposed model, the efficiency and effectiveness of crowdsourcing activity will be increased. (shrink)

In jails, the prisoners are often maltreated by the jail authorities.They are abused, and, their fundamental rights as human beings are frequentlyviolated. Although laws upholding the rights of prisoners are plenty,unfortunately, these seem ineffective in preventing the abuse of prisonersin jails. This paper examines the problems of jailed prisoners in general andhighlights their violations of human rights. In particular, this paper discussessexual abuse of prisoners, their mental and physical tortures, and enforcement ofprison labour laws. The paper also focuses on overcrowding (...) in jails, inadequateeducational facilities for prisoners and poor health care facilities. This articleanalyses these issues from the perspectives of Islamic Law and attempts toprovide a conceptual frame work of solutions. An analytical approach isemployed in this study. (shrink)

Handwritten text recognition is considered as the most challenging task for the research community due to slight change in different characters’ shape in handwritten documents. The unavailability of a standard dataset makes it vaguer in nature for the researchers to work on. To address these problems, this paper presents an optical character recognition system for the recognition of offline Pashto characters. The problem of the unavailability of a standard handwritten Pashto characters database is addressed by developing a medium-sized database of (...) offline Pashto characters. This database consists of 11352 character images. Enriched feature extraction techniques of histogram of oriented gradients and zoning-based density features are used for feature extraction of carved Pashto characters. K-nearest neighbors is considered as a classification tool for the proposed algorithm based on the proposed feature sets. A resultant accuracy of 80.34% is calculated for the histogram of oriented gradients, while for zoning-based density features, 76.42% is achieved using 10-fold cross validation. (shrink)

Business Ethics, the Environment & Responsibility, EarlyView.

This article compares the elucidation of the semantic structure and fixity of a number of key terms and concepts of the Qur'an by two contemporary scholars, Toshihiko Izutsu (1914-1993) and Syed Muhammad Naquib al-Attas (1931--), with that of al-Raghib al-Isfahani (d. ca 443/1060), the author of the celebrated Kitab al-mufradat fi gharib al-Qur'an. By 'key terms and concepts' are meant those words used by the Qur'an which play a decisive role in making up the basic conceptual structure of the (...) Qur'anic worldview. The article shows how the Qur'an profoundly changed and subsequently fixed the meaning of Arabic terms, particularly those key terms relating to religion and ethics, and it highlights the fact that the contemporary semantic analysis of the Qur'anic vocabulary has its precedent in the fifth/eleventh century. (shrink)

Sculpting the Self addresses “what it means to be human” in a secular, post-Enlightenment world by exploring notions of self and subjectivity in Islamic and non-Islamic philosophical and mystical thought. Alongside detailed analyses of three major Islamic thinkers (Mullā Ṣadrā, Shāh Walī Allāh, and Muhammad Iqbal), this study also situates their writings on selfhood within the wider constellation of related discussions in late modern and contemporary thought, engaging the seminal theoretical insights on the self by William James, Jean-Paul Sartre, (...) and Michel Foucault. This allows the book to develop its inquiry within a spectrum theory of selfhood, incorporating bio-physiological, socio-cultural, and ethico-spiritual modes of discourse and meaning-construction. Weaving together insights from several disciplines such as religious studies, philosophy, anthropology, critical theory, and neuroscience, and arguing against views that narrowly restrict the self to a set of cognitive functions and abilities, this study proposes a multidimensional account of the self that offers new options for addressing central issues in the contemporary world, including spirituality, human flourishing, and meaning in life. This is the first book-length treatment of selfhood in Islamic thought that draws on a wealth of primary source texts in Arabic, Persian, Urdu, Greek, and other languages. Muhammad U. Faruque’s interdisciplinary approach makes a significant contribution to the growing field of cross-cultural dialogue, as it opens up the way for engaging premodern and modern Islamic sources from a contemporary perspective by going beyond the exegesis of historical materials. He initiates a critical conversation between new insights into human nature as developed in neuroscience and modern philosophical literature and millennia-old Islamic perspectives on the self, consciousness, and human flourishing as developed in Islamic philosophical, mystical, and literary traditions. (shrink)

This study aims to discuss the historiography of standing up Maḥallu al-Qiyām in the cultural expression in Indonesia. This research is classified as qualitative research with a historical approach method reinforced with documentation, interview and observation. To deepen the meaning of Maḥallu al-Qiyām using analysis using the symbolic interpretive theory of Clifford Geertz. Interestingly, the tradition of Maḥallu al-Qiyām becomes a symbolic meaning of the expression of homage to the Prophet Muhammad and has the content of Maḥabbah teachings to (...) the Prophet. This research concluded that standing up Maḥallu al-Qiyām began when Sheikh Tajuddin as-Subkhi started his stand while reading the Prophet’s Mawlīd as a symbol of respect for the Prophet Muhammad. The Maḥallu al-Qiyām has various forms of celebration as a cultural expression in Indonesia, manifested in various forms of celebration in Javanese cultures, such as muludan, srakalan, kekahan, temu manten, manakiban, sema’an al-Qur’an, and respect for newly arrived ulama.Contribution: This article has contributed to discovering the traditions that developed in Indonesia, which intersected with Maḥallu al-Qiyām, thus identifying some expressions of Javanese culture in whose dialectic with standing Maḥallu al-Qiyām. (shrink)

Scientists cannot devise theories, construct models, propose explanations, make predictions, or even carry out observations, without first classifying their subject matter. The goal of scientific taxonomy is to come up with classification schemes that conform to nature's own. Another way of putting this is that science aims to devise categories that correspond to 'natural kinds.' The interest in ascertaining the real kinds of things in nature is as old as philosophy itself, but it takes on a different guise when one (...) adopts a naturalist stance in philosophy, that is when one looks closely at scientific practice and takes it as a guide for identifying natural kinds and investigating their general features. This Element surveys existing philosophical accounts of natural kinds, defends a naturalist alternative, and applies it to case studies in a diverse set of sciences. This title is also available as Open Access on Cambridge Core. (shrink)

The purpose of this study is to examine the statements of Ibn al-ʿArabî regarding religions and beliefs through the perspectives of William Chittick and Reza Shah-Kazemi comparatively. Even though his expressions are occasionally elaborated in the light of the theory of the religious pluralism based on Western-Christian thought, by considering the universal message of the Qur’ān Chittick and Shah-Kazemi identify these expressions with “universalism.” This universalist approach bases on the distinction between “ontological will” and “religious will,” and “submission” (...) which is the substance of the term “islam.” While Chittick and Shah-Kazemi agree on issues mostly, it is possible to see that in some sense they differ from each other in their departure points and results. From this perspective, it is going to be seen that Ibn al-ʿArabî’s expressions encompass both the divine religions and other religions which do not have a revelation. To examine Ibn al-ʿArabî’s expressions by taking into account the propositions of the religious pluralism will be helpful to comprehend his outlook on the Qur’ān and the Prophet Muhammad. (shrink)

Why, when asking oneself whether to believe that p, must one immediately recognize that this question is settled by, and only by, answering the question whether p is true? Truth is not an optional end for first-personal doxastic deliberation, providing an instrumental or extrinsic reason that an agent may take or leave at will. Otherwise there would be an inferential step between discovering the truth with respect to p and determining whether to believe that p, involving a bridge premise that (...) it is good (in whichever sense of good one likes, moral, prudential, aesthetic, allthings-considered, etc.) to believe the truth with respect to p. But there is no such gap between the two questions within the first-personal deliberative perspective; the question whether to believe that p seems to collapse into the question whether p is true. (shrink)

"Ruh Üzerine Yazılar" içinde, Berk Özcangiller (ed.), Alfa Yayınları, 2021.

Why, when asking oneself whether to believe that p, must one immediately recognize that this question is settled by, and only by, answering the question whether p is true? Truth is not an optional end for first-personal doxastic deliberation, providing an instrumental or extrinsic reason that an agent may take or leave at will. Otherwise there would be an inferential step between discovering the truth with respect to p and determining whether to believe that p, involving a bridge premise that (...) it is good to believe the truth with respect to p. But there is no such gap between the two questions within the first-personal deliberative perspective; the question whether to believe that p seems to collapse into the question whether p is true. (shrink)

Parmenides plays an important role in the first section of Hegel’s Science of Logic due to his definition of being as a pure thought-determination. This article investigates, first, how Hegel conceives the Parmenidean being. Secondly, by discussing Hegel's logical analysis of pure being and pure nothing, it aims to show why and how such conception of being, according to Hegel, provides a crucial insight into the function of the understanding.

Tourism, as an industry, has become one of the most dynamic sectors of the world economy these days and has specific features that are different from other industries. In the tourism industry, production and consumption points occur spatially at the same time. In addition, the tourism industry contributes to the economic growth of developed regions and can simultaneously distribute the wealth created geographically. It is notable that the coronavirus disease 2019 (COVID-19) pandemic has caused many challenges in the tourism industry (...) regarding the presence of tourists in tourism centres and the closing of all tourism service chains, including food, entertainment, transportation and travel services worldwide. Tourism-related businesses, which are considered as invisible export and one of the engines of development and occupation, have been rendered obsolete. In other words, the businesses, as well as multiple units and activities in the related chain, have been damaged and employees of this industry have lost their jobs. This has led to the recession and regressive course of the developing and large industry of tourism in the world. It is worth noting that the tourism industry includes various sections, the most important of which is religious tourism. All religions in the world have different religious places, works, traditions and customs, which have become amongst the most important tourist attractions. Meanwhile, Muslims and the religion of Islam play a significant role in this branch of tourism. The Hajj, pilgrimage to holy places and the existence of mourning ceremonies or religious celebrations of Muslims are amongst the largest religious tourism events in the world. Given the importance of this issue, the present study aimed to evaluate the impact of the COVID-19 pandemic on religious tourism in Iraq in 2021. This field study was conducted on 4500 Muslim managers and staff of restaurants, hotels, grocery stores, clothing stores and souvenir shops around the holy shrines of imams and religious places in Karbala, Najaf, Kufa, Samarra and Kazemi. According to the results, the tourism of Iraq, which is mainly limited to Muslim religious sites in several major Iraqi cities, has also seen a decline in the number of religious tourists. The negative effects of COVID-19 on religious tourism have also been proved statistically by the Statistical Package for the Social Sciences (SPSS), as µ ≥ 3 has been counted in all indices.Contribution: Our findings offered new insights into the impact of COVID-19 on tourism, based on statistical analysis. In this study, the authors showed how COVID-19 affects various aspects of religious tourism, which has not been addressed in previous researches. (shrink)

Most philosophers agree that causal knowledge is essential to decision-making: agents should choose from the available options those that probably cause the outcomes that they want. This book argues against this theory and in favour of evidential or Bayesian decision theory, which emphasises the symptomatic value of options over their causal role. It examines a variety of settings, including economic theory, quantum mechanics and philosophical thought-experiments, where causal knowledge seems to make a practical difference. The arguments make novel use of (...) machinery from other areas of philosophical inquiry, including first-person epistemology and the free will debate. The book also illustrates the applicability of decision theory itself to questions about the direction of time and the special epistemic status of agents. (shrink)

This article offers the concept of `global modernity' (in the singular) as a way to understand the contemporary world. It suggests that the concept helps overcome the teleology implicit in a term such as globalization, while it also recognizes global difference and conflict, which are as much characteristics of the contemporary world as tendencies toward unity and homogenization. These differences, and the appearance of `alternative' or `multiple' modernities, it suggests, are expressions, and articulations, of the contradictions of modernity which are (...) now universalized across, as well as within, societies. If we are to speak of alternative or multiple modernities, which presently valorize the persistence of traditions and `civilizational' legacies, we need to recognize that the very language of alternatives and multiplicity is enabled historically by the presupposition of a common modernity shaped by a globalizing capitalism. (shrink)

The discussion develops Edward Said's thesis of orientialism. Said approached "orientalism" as a construction of Asia by Europeans, and a problem in Euro-American modernity. This essay argues that, from the beginning, Asians participated in the construction of the orient, and that orientalism therefore should be viewed as a problem in Asian modernities as well. The essay utilizes Mary Louise Pratt's idea of "contact zones" to argue that orientalism was a product of the circulation of Euro-American and Asian intellectuals in these (...) contact zones, or borderlands. While orientalism has been very much implicated in power relations between Euro-America and Asia, the question of power nevertheless should be separated analytically from the construction of orientalism. In support of this argument, the essay points to the contemporary "self-orientalization" of Asian intellectuals, which is a manifestation not of powerlessness but newly-acquired power. (shrink)