Corporate Social Responsibility and environmental sustainability have become urgent concerns for contemporary businesses. This study focuses on the interplay between corporate social responsibility perceptions and pro-environmental behaviour in response to experts’ call for research on the micro-foundations of corporate social responsibility. In addition, it reveals the mechanism underpinning how perceived CSR shapes pro-environmental behaviour in an understudied developing context. Empirically, a qualitative multiple-case research design is utilised by selecting three business schools from Peshawar, Pakistan. Fourteen semi-structured interviews were conducted with (...) senior management and faculty to collect data. Besides primary data, a qualitative documentary review is used to enhance the research. Data analysis is done through the thematic network technique. Plantation, cleanliness, waste reduction, and energy conservation are the environmental aspects of CSR as regarded by employees. In addition, perceived CSR shapes pro-environmental behaviour via environmental knowledge and awareness, eco-civic sense, environmental values, personality traits, religious perspective, and perceived organisational support for the environment. This study provides original additions to the CSR literature by suggesting eco-civic sensibility and religious perspective as new CSR drivers for pro-environmental conduct. Incorporating stakeholder salience into the context of the present study also advances CSR research. The findings are also valuable for management to make the CSR agenda of business schools more strategic, comprehensive, and centred on the priorities of salient stakeholders. (shrink)

This important and comprehensive work of 18th-century Islamic religious thought written in Arabic by a pre-eminent South Asian scholar provides an extensive and detailed picture of Muslim theology and interpretive strategies on the eve of the modern period.

Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark functions and various real-world problems. In general, the developed evolutionary algorithms belong to nature-inspired algorithms and swarm intelligence paradigms. Differential evolutionary algorithm is one of the most popular and well-known EAs and has secured top ranks in most of the EA competitions in the special session of the IEEE Congress on (...) Evolutionary Computation. In this paper, a customized differential evolutionary algorithm is suggested and applied on twenty-nine large-scale bound-constrained benchmark functions. The suggested C-DE algorithm has obtained promising numerical results in its 51 independent runs of simulations. Most of the 2013 IEEE-CEC benchmark functions are tackled efficiently in terms of proximity and diversity. (shrink)

Constrained optimization plays an important role in many decision-making problems and various real-world applications. In the last two decades, various evolutionary algorithms were developed and still are developing under the umbrella of evolutionary computation. In general, EAs are mainly categorized into nature-inspired and swarm-intelligence- based paradigms. All these developed algorithms have some merits and also demerits. Particle swarm optimization, firefly algorithm, ant colony optimization, and bat algorithm have gained much popularity and they have successfully tackled various test suites of benchmark (...) functions and real-world problems. These SI-based algorithms follow the social and interactive principles to perform their search process while approximating solution for the given problems. In this paper, a multiswarm-intelligence-based algorithm is developed to cope with bound constrained functions. The suggested algorithm integrates the SI-based algorithms to evolve population and handle exploration versus exploitation issues. Thirty bound constrained benchmark functions are used to evaluate the performance of the proposed algorithm. The test suite of benchmark function is recently designed for the special session of EAs competition in IEEE Congress on Evolutionary Computation. The suggested algorithm has approximated promising solutions with good convergence and diversity maintenance for most of the used bound constrained single optimization problems. (shrink)

The 3D Prandtl fluid flow through a bidirectional extending surface is analytically investigated. Cattaneo–Christov fluid model is employed to govern the heat and mass flux during fluid motion. The Prandtl fluid motion is mathematically modeled using the law of conservations of mass, momentum, and energy. The set of coupled nonlinear PDEs is converted to ODEs by employing appropriate similarity relations. The system of coupled ODEs is analytically solved using the well-established mathematical technique of HAM. The impacts of various physical parameters (...) over the fluid state variables are investigated by displaying their corresponding plots. The augmenting Prandtl parameter enhances the fluid velocity and reduces the temperature and concentration of the fluid. The momentum boundary layer boosts while the thermal boundary layer mitigates with the rising elastic parameter strength. Furthermore, the enhancing thermal relaxation parameter ) reduces the temperature distribution, whereas the augmenting concentration parameter drops the strength of the concentration profile. The increasing Prandtl parameter declines the fluid temperature while the augmenting Schmidt number drops the fluid concentration. The comparison of the HAM technique with the numerical solution shows an excellent agreement and hence ascertains the accuracy of the applied analytical technique. This work finds applications in numerous fields involving the flow of non-Newtonian fluids. (shrink)

Nowadays, the whole world is facing a pandemic situation in the form of coronavirus diseases. In connection with the spread of COVID-19 confirmed cases and deaths, various researchers have analysed the impact of temperature and humidity on the spread of coronavirus. In this paper, a deep transfer learning-based exhaustive analysis is performed by evaluating the influence of different weather factors, including temperature, sunlight hours, and humidity. To perform all the experiments, two data sets are used: one is taken from Kaggle (...) consists of official COVID-19 case reports and another data set is related to weather. Moreover, COVID-19 data are also tested and validated using deep transfer learning models. From the experimental results, it is shown that the temperature, the wind speed, and the sunlight hours make a significant impact on COVID-19 cases and deaths. However, it is shown that the humidity does not affect coronavirus cases significantly. It is concluded that the convolutional neural network performs better than the competitive model. (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)

Information is considered to be the major part of an organization. With the enhancement of technology, the knowledge level is increasing with the passage of time. This increase of information is in volume, velocity, and variety. Extracting meaningful insights is the dire need of an individual from such information and knowledge. Visualization is a key tool and has become one of the most significant platforms for interpreting, extracting, and communicating information. The current study is an endeavour toward data modelling and (...) user knowledge by using a rough set approach for extracting meaningful insights. The technique has used different rough set algorithms such as K-nearest neighbours, decision rules, decomposition tree, and local transfer function classifier for an experimental setup. The approach has found its accuracy for the optimal use of data modelling and user knowledge. The experimental setup of the proposed method is validated by using the dataset available in the UCI web repository. Results of the proposed study show that the model is effective and efficient with an accuracy of 96% for KNN, 87% for decision rules, 91% for decision trees, 85.04% for cross validation architecture, and 94.3% for local transfer function classifier. The validity of the proposed classification algorithms is tested using different performance metrics such as F-score, precision, accuracy, recall, specificity, and misclassification rates. For all these performance metrics, the KNN classifier outperformed, and this high performance shows the applicability of the KNN classifier in the proposed problem. (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)

South Asia is one of the most densely populated regions of the world, where despite a slow growth, agriculture remains the backbone of rural economy as it employs one half to over 90 percent of the labor force. Both extensive and intensive policy measures for agriculture development to feed the massive population of the region have resulted in land degradation and desertification, water scarcity, pollution from agrochemicals, and loss of agricultural biodiversity. The social and ethical aspects portray even a grimmer (...) picture of the region with growing poverty mainly, amongst small farmers, food scarcity, and overall poor quality of life. This article reviews the historical perspective of agriculture development in the region and gives a panoramic view of the policy initiatives and their environmental as well as social and ethical spin-offs. The aim is to explore the environmental and ethical dimensions of the agricultural development in South Asia and recommend a holistic approach in formulating plans and programs to combat environmental degradation, hunger, and poverty resulting from unsustainable agricultural practices. (shrink)

Business Ethics, the Environment & Responsibility, EarlyView.

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)

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 influential stage of Internet of Things has reformed all fields of life in general but specifically with the emergence of artificial intelligence has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources (...) and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research. (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)

There is evidence of continued food insecurity and malnutrition in Pakistan despite significant progress made in terms of food production in recent years. According to “Vision 2030” of the Planning Commission of Pakistan, about half of the population in the country suffers from absolute to moderate malnutrition, with the most vulnerable being children, women, and elderly among the lowest income group. The Government of Pakistan has been taking a series of policy initiatives and strategic measures to combat food insecurity issues. (...) These range from increasing production to food imports, implementation of poverty reduction strategies, nutritional improvement programs, as well as provision of social safety nets. The article aims to instill some fresh thinking into the debate regarding the challenges of food security. It underscores the limitations of hitherto policy response, and suggests crucial measures to improve the present grim scenario. Policy makers, planners, practitioners, and academicians in countries with comparable socio-political and economic setup can view this discussion as a case study and may apply the findings in their domain accordingly. (shrink)

In the educational hypermedia domain, adaptive systems try to adapt educational materials according to the required properties of a user. The adaptability of these systems becomes more effective once the system has the knowledge about how a student can learn better. Studies suggest that, for effective personalization, one of the important features is to know precisely the learning style of a student. However, learning styles are dynamic and may vary domain-wise. To address such aspects of learning styles, we have proposed (...) a computationally efficient solution that considers the dynamic and nondeterministic nature of learning styles, effect of the subject domain, and nonstationary aspect during the learning process. The proposed model is novel, robust, and flexible to optimize students’ domain-wise learning style preferences for better content adaptation. We have developed a web-based experimental prototype for assessment and validation. The proposed model is compared with the existing available learning style-based model, and the experimental results show that personalization based on incorporating discipline-wise learning style variations becomes more effective. (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 this article, we solve nonlinear systems of third order KdV Equations and the systems of coupled Burgers equations in one and two dimensions with the help of two different methods. The suggested techniques in addition with Laplace transform and Atangana–Baleanu fractional derivative operator are implemented to solve four systems. The obtained results by implementing the proposed methods are compared with exact solution. The convergence of the method is successfully presented and mathematically proved. The results we get are compared with (...) exact solution through graphs and tables which confirms the effectiveness of the suggested techniques. In addition, the results obtained by employing the proposed approaches at different fractional orders are compared, confirming that as the value goes from fractional order to integer order, the result gets closer to the exact solution. Moreover, suggested techniques are interesting, easy, and highly accurate which confirm that these methods are suitable methods for solving any partial differential equations or systems of partial differential equations as well. (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)

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)

21st century India constructs itself as a neoliberal and consumerist superpower. In his cinematic career Shah Rukh Khan has become an icon of a rampant middle class, transforming himself from an antihero into a model story of Indian success. Focusing on identity politics, in this article his persona is utilized as a prism through which some representations of fears connected to 20th century India can be observed.

The great majority of commentators have evaluated the splitting of the moon. The vast majority of them think that it occurred in the Prophet’s period basing their view on the clear statement of al-Qamar 54/1 verse and on related rumors. However, some commentators claim that the moon will split on the doomsday, by referring to the context of the same verse. The same names criticize the rumors claiming that they cannot constituteevidence for the splitting of the moon. To those who (...) think so, from the fact that the splitting of the moon was related by few companions and that it was not recorded in various geographies it is evident that the incident did not happen. It cannot be said that the commentators, who took that the view that the split of the moon were in the period of the Prophet, have similar views in this regard. They have different interpretations in matters such as the realization and the shape of the event. On the other hand, those who claim that the split of the moon is only an idiomatic statement and that the event is only a lunar eclipse, declare that the split of the moon never actually happened. In this study which deals with various interpretations of tafsirs of the splitting of the moon, it is aimed to criticize different opinions on this issue. Document analysis and comparison methods were applied in the article.Summary: The issue of the splitting of the moon has attracted many names from various disciplines, notably the commentators. In the verse of al-Qamar 54/1 mentioning the splitting of the moon has been an important factor for the commentators to evaluate this issue. The ḥadīth narratives regarding the cleavage of the moon are found in many ḥadīth sources, in particular, Ṣahīh al-Bukhārīand Ṣahīh al-Muslim. The rumors about the splitting of the moon, albeit with different forms, are attributed to Anas b. Mālik (d. 93/712), Jubayr b. Muṭ‘īm (d. 59/678-679), ʿAbdallāh b. ʿAbbās (d. 68/687-688), ʿAbdallāh b. ‘Omar (d. 73/692), and ʿAbdallāh b. Masʿūd (d. 32/652-653) One of the rumors about the splitting of the moon, although it is based on ʿAlī b. Abī Ṭālib (d. 40/661)is not found in the authentic ḥadīth sources. In some narrations, it is said that the miracle of the moon's splitting took place upon the request of the polytheists while the others are only mentioned how this miracle happened. On the other hand, it cannot be said that the commentators agree on the split of the moon. The main purpose of this study is to identify these opinions with its basis. Apart from those who do not accept the occurrence of the incident, there are differences of opinion among the commentators who see this event as a miracle of the Prophet Muḥammad. It is possible to classify the disagreements of the commentators in this subject in two headings as the time and manner of occurrence of this incident.Most of the classical commentators, on the basis of narrations, think that the splitting of the moon occurred during the period of Mecca. Among these commentators, al-Wāḥidī (d. 468/1076) and al-Qurṭubī (d. 671/1273), as well as the rumors of this evidence, offer as a proof the verse, "if they see a miracle, they turn away and say that this is a great magic." (al-Qamar 54/2). Some commentators, such as al-Qushayrī (d. 465/1072), accept that this phenomenon has taken place in the past by referring to the opinion of the commentators about the split of the moon. The views of many of the modern-day commentators such as Siddiq Ḥasan Khan (d. 1307/1890), Mawdūdī (d. 1399/1979) and Sābūnī, on this issue, apart from the narrations related to the subject have shaped the general opinion of the commentators. There are differences of opinions among some of the commentators, who accept that the splitting of the moon takes place during the time of the Prophet Muḥammad, as to the reasons and arbitrariness of the incident. According to classical period commentators such as al-Ṭabarī (d. 310/923), al-Samarqandī (d. 373/983), Fakhr al-Dīn al-Rāzī (d. 606/1210), al-Qurṭubī (d. 671/1273), and Shīʿī commentators al-Qummī (d. 329/941), this incident took place upon the Prophet Muḥammad asked for a miracle as evidence for his prophethood by Meccan polytheists. Therefore, these commentators establish a relationship between the splitting of the moon and the prophethood of the prophet Muḥammad. On the other hand, commentators like Sayyid Quṭb (d. 1385/1966) argue that the splitting of the moon cannot be regarded as evidence of the prophethood, citing the fact that the miracles of the Prophet Muḥammad except the Qurʾān were not reported. There is a disagreement about the validity of the narrations related to the events among the commentators, who see the splitting of the moon as a miracle of the Prophet Muḥammad. Ibn Kathīr (d. 774/1373) and Shawkanī (d. 1250/1834) commentators, such as the rumors about this issue as a precise; ibn ʿĀshūr (d. 1879/1973) does not accept the news on this issue as a precise. There are also some commentators who suggest that the splitting the moon will take place in the future. The commentators, who shared this view, especially Rashīd Riḍā (d. 1353/1935) argued that the splitting of the moon did not take place in the past, pointing out that the validity criteria of narrations related to the splitting of the moon, and contradictory issues in the content of the rumors, also most of the people narrated by him/her cannot witness the incident and that it is not possible for people in a certain geography to witness this incident.There are few classical period commentators who suggest that the moon will be split in the future during the apocalypse. The prominent names are al-Ḥasan al-Baṣrī, (d. 110/728), ʿAṭāʾ b. Abī Rabāḥ (d. 114/732) and Abū Bakr al- Aṣamm (d. 200/816). On the other hand, many names such as Rashīd al-Riḍā (d. 1353/1935), al-Marāghī (d. 1364/1945) and al-Shinqīṭī (d. 1394/1974) from the modern period declare that the moon will split during the apocalypse.According to these, in the verses of the al-Qamar 54/1 that apocalyptic scene is mentioned.In the verse, they try to justify the use of the verb meaning of a split in the past tense by introducing some evidence from other verses.According to them, in many verses that speak of apocalyptic scenes, events are expressed in the past tense. There are also commentators who have different evaluations on the way of the occurring event instead of the time concept. Al-Ghazālī (d. 505/1111), Muḥyiddīn Ibn al-ʿArabī (d. 638/1240) and Shāh Walī Allāh al-Dihlawī (d. 1052/1642) do not see the splitting of the moon as a real split mentioned in the verse of the al-Kamer 54/1. According to them, the event is an optical illusion. Muḥammad Asad (d. 1412/1992) connected this illusion to the lunar eclipse. Trying to explain the splitting of the moon by some commentators is one of the commentary differences in this issue. According to Mawdūdī, who did not see this event scientifically impossible, it is possible to reunite a fragmented star with gravity. Without a doubt, Ṭanṭawī al-Jawharī (d. 1940) is one of the names who make the most striking evaluations in this issue. According to him, the miracle of the moon's splitting has many aspects to shed light on scientific studies. Ṭanṭawī al-Jawharī sees the verse as the sign of the moon instead of any other celestial body, as a sign that the moon had long ago broken off from the world. Therefore, Ṭanṭawī al-Jawharī establishes a relationship between the splitting of the month mentioned in the verse and the theories about the separation of the moon in the modern period.One of the arguments about the splitting of the moon is related to the fineness of the language. Some commentators, who draw attention to the expression of the splitting of the moon, which is the expression in the Qurʾān, argue that the purpose of the separation of the moon is the occurrence of truth. According to the advocates of this view, the Arabs use such a statement to express that a work has come to light. According to this, the term "splitting the moon" as means that the Qurʾān expands the darkness in its period. In summary, the commentators make various comments on different grounds such as the narrative expression of the verse al-Qamar 54/1 regarding the splitting of the moon, the narrations about the event, and the language subtleties. (shrink)

Volume 34, Issue 2-3, June - September 2024.

The Persian philosopher Ibn Sina (d. 1037), known in Europe as Avicenna, was arguably the greatest master of Aristotelian thought in the Muslim world. The symbolical 'Poem on the Soul' (Qasidat al-nafs), which portrays all earthly human souls as in temporary exile from heaven, is traditionally attributed to Avicenna, and was received with enthusiasm by its commentators. A highly significant commentary on the Qasida was written by?Ali b. Muhammad b. al-Walid (d. 1215 CE), a major early representative of the Tayyibi (...) Ismaili tradition, which emerged and flourished in medieval Yemen. In his view, the poem encapsulated Tayyibi beliefs, whose doctrines bear striking parallels with late antique Gnosticism. Avicenna's Allegory on the Soul presents the first edition of the Arabic text of Ibn al-Walid's commentary, 'The Useful Epistle' (al-Risala al-mufida), alongside an English translation and extended introduction. It offers invaluable insight into the intricacies of Muslim thought and a deeper understanding of Avicenna's substantial intellectual legacy. (shrink)

Mostly consists of works composed in Tibetan, with translations into Mongolian, on the Soyombo script.

ABSTRACTIn International Relations, the actions of great powers are usually assessed through their direct effects. Great powers are generally considered to be responsible for the consequences of their actions if they intentionally caused them. Although there is discussion on “double-effects” and “side-effect harms” in the realms of philosophy and political sociology, these largely remain absent from the field of IR. This article bridges that gap by clarifying a set of yardsticks through which side-effect harms of great powers’ actions can be (...) evaluated, including “capacity”, “historical precedent”, “voluntarism” and “unintentional causality”. These yardsticks are deduced through the Theory of Special Responsibilities, which combines elements of Constructivism and the English School. The theoretical framework presented is then applied to the case of American drone strikes in the Federally Administered Tribal Areas of Pakistan. A number of terrorists in FATA have relocated elsewhere within Pakist... (shrink)

Prince of philosophers -- The emergence of Islam -- Boy genius -- Court physician -- A traveling philosopher -- Death of an intellectual -- A lasting legacy.

Time and Fantasy in Narratives of Jihad: The Case of the Islami Jamiat-I-Tuleba in Karachi This article proposes an analytical framework for thinking about violence in the Islami Jamiat-i-Tuleba (IJT), the student organization of Jamaat e Islami (JI), Pakistan's longstanding Islamist party. It prioritises the intersection of the psychic and the social, and the role of politics, history and biography in mediating the modalities, narration and praxis of violence in the city of Karachi. The dominant explanations tend to emphasise political (...) instrumentalism, and structural and ideological factors, and to "Islamicise" the violence, collapsing Islamic rhetoric into an extemporization of conditions, ignoring the deep affective appeal of violence to individuals, and leaving unelaborated the role of intersecting national, local and individual contexts and temporalities in structuring political subjectivity and violent action. (shrink)

This manuscript draws on the moral norms arising from the nuanced accounts of epistemic (in)justice and social identity in relational autonomy to normatively assess and articulate the ethical problems associated with using AI in patient care in light of the Black Box problem. The article also describes how black-boxed AI may be used within the healthcare system. The manuscript highlights what needs to happen to align AI with the moral norms it draws on. Deeper thinking – from other backgrounds other (...) than decolonial scholarship and relational autonomy – about the impact of AI on the human experience needs to be done to appreciate any other barriers that may exist. Future studies can take up this task. (shrink)

This experiment investigated the effect of format (line vs. bar), viewers’ familiarity with variables, and viewers’ graphicacy (graphical literacy) skills on the comprehension of multivariate (three variable) data presented in graphs. Fifty-five undergraduates provided written descriptions of data for a set of 14 line or bar graphs, half of which depicted variables familiar to the population and half of which depicted variables unfamiliar to the population. Participants then took a test of graphicacy skills. As predicted, the format influenced viewers’ interpretations (...) of data. Specifically, viewers were more likely to describe x–y interactions when viewing line graphs than when viewing bar graphs, and they were more likely to describe main effects and “z–y” (the variable in the legend) interactions when viewing bar graphs than when viewing line graphs. Familiarity of data presented and individuals’ graphicacy skills interacted with the influence of graph format. Specifically, viewers were most likely to generate inferences only when they had high graphicacy skills, the data were familiar and thus the information inferred was expected, and the format supported those inferences. Implications for multivariate data display are discussed. (shrink)

Contemporary Kantianism is often regarded as both a position within normative ethics and as an alternative to metaethical moral realism. We argue that it is not clear how contemporary Kantianism can distinguish itself from moral realism. There are many Kantian positions. For reasons of space we focus on the position of one of the most prominent, contemporary Kantians, Christine Korsgaard. Our claim is that she fails to show either that Kantianism is different or that it is better than realism. Our (...) strategy is to argue that what are supposed to be claims that conflict with realism in fact do not. (shrink)