In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)

In a communication network with a source node, a multicast tree is defined as a tree rooted at the source node and all its leaves being recipients of the multicast originating at the source. The tree or bandwidth cost is normally measured by its utilization of tree links along with the quality of service measures such as delay constraint and end-to-end delay. However, if nodes are allowed to join or leave the multicast group at any time during the lifetime of (...) the multicast connection, then the problem is known as dynamic multicast routing problem. In this article, we combine a greedy approach with static multicast routing using Tabu Search to find a low-cost dynamic multicast tree with desirable QoS parameters. The proposed algorithm is then compared with several static multicast routing algorithms. The simulation results show that, on a large number of events, i.e., where nodes are leaving or joining, the proposed algorithm is able to find multicast trees of lower cost and more desirable QoS properties. (shrink)

Currently, there is an increasing trend in the organizations towards examining the artificial intelligence and nonartificial intelligence for the innovation and success of the new product, as well as getting the intentions of the upcoming researchers. Thus, the purpose of the ongoing study is to examine the role of artificial and nonartificial intelligence in the new product success along with the moderating role of new product innovation in the manufacturing organizations of China. The quantitative methods have been followed by the (...) study and gathered the responses from the respondents using questionnaires, and analysis has been conducted by using the smart-PLS. The results exposed that artificial intelligence and nonartificial intelligence have positive and significant nexus with the new product success. The outcomes also revealed that the new product innovation significantly moderated the links among the nonartificial intelligence and new product success, but it insignificantly moderated the links among the artificial intelligence and new product success in the manufacturing organizations of China. These findings have provided the guidelines to the manufacturing companies and their policies developing authorities that they should be developed and implement the suitable policies regarding the adoption of artificial intelligence and nonartificial intelligence that enhance the success of the new product, which ultimately enhances the success of the organization. (shrink)

Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...) product reviews is a challenging issue in NLP. Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. However, in order to improve the classification accuracy, this study has introduced an ensemble machine learning model that combines predictions from multilayer perceptron, K-Nearest Neighbour, and Random Forest and predicts the outcome of the review as spam or real, based on the majority vote of the contributing models. In order to accomplish the task of spam review classification, the proposed ensemble and other benchmark boosting approaches are tested with 25 statistical features extracted from mobile application reviews of Yelp Dataset. Then, three different selection techniques are exploited to diminish the feature space and filter out the top 10 optimal features. The effectiveness of the proposed ensemble, the individual models, and other benchmark boosting approaches is again evaluated with 10 optimal features in terms of classification accuracy. Experimental outcomes illustrate that the proposed ensemble model outperformed the individual classifiers and state-of-the-art boosting approaches like Generalized Boost Regression Model, Extreme Gradient Boost, and AdaBoost Regression Model in terms of classification accuracy. (shrink)

Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into account (...) five main emotions. We use our experimental assessments on the emotion dataset to accomplish the emotion categorization job. The datasets were evaluated and the findings revealed that, when compared to state-of-the-art methodologies, the proposed model can successfully categorize user emotions into several classifications. Finally, we assess the efficacy of our strategy using statistical analysis. This research’s findings help firms to apply best practices in the selection, management, and optimization of policies, services, and product information. (shrink)

Recently the World Health Organization has highlighted the need to strengthen mental health systems following emergencies, including natural and manmade disasters. Mental health services need to be informed by culturally attuned evidence that is developed through research. Therefore, there is an urgent need to establish rigorous ethical research practice to underpin the evidence-base for mental health services delivered during and following emergencies.

Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...) discussion forums, and hence, there is no standard/general set of features that could be effectively used for relevant answer/reply post classification. However, this study proposed an answer detection model that is exclusively relying on lexical features and employs a random forest classifier for classification of answers in discussion boards. Experimental results showed that the proposed answer detection model outperformed the baseline technique and other state-of-the-art machine learning algorithms in terms of classification accuracy on benchmark forum datasets. (shrink)

This paper examines the effect of state-level culture in the US on the adoption of firms’ workplace diversity policies. Using firm-level panel data over the period 2011–2014, we document that firms in highly individualistic states are less likely to adopt workplace diversity policies, which in turn negatively affects firm performance. Our results are robust to alternative variables and econometric specifications. Our findings provide insights into the contemporary debate on the economic aspects of workplace diversity policies for firms operating in different (...) cultural backgrounds. (shrink)

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)

We show that the U.S. anti-discriminatory laws prohibiting discrimination in the workplace based on sexual orientation and gender identity identities) spur innovation, which ultimately leads to higher firm performance. We use the Human Rights Campaign’s Corporate Equality Index of 398 U.S. firms between 2011 and 2014, and find a significantly positive relationship between CEI and firm innovation. We also find that an interacting effect of CEI and firm innovation leads to higher firm performance. We use our understanding of Rawls’ Theory (...) of Justice and stakeholder theory to show that firms with workplace diversity policies are likely to be more innovative and perform better than those without such policies. Our results are robust to endogeneity, reverse causality and simultaneity issues. Our results will trigger debate in similar markets around the globe on the economic benefits of LGBT workplace diversity policies for firms. (shrink)

BackgroundIn Pakistan, drug promotion practices, ethical or unethical, have rarely been in the spotlight. We aimed to assess the perception and barriers of medical representatives (MRs) and doctors (MDs) regarding ethical promotion of pharmaceuticals in Pakistan.MethodsA cross sectional survey was conducted in seven major cities of Pakistan for 6-months period. Self-administered questionnaire was used for data collection. Logistic regression and five-point Likert scale scoring was used to estimate the perceptions and barriers.ResultsCompared to national companies (NCs), the medical representatives (MRs) of (...) multinational companies (MNCs) strongly believed that their companies follow World Health Organization (WHO) (OR; 5.31, p = 0.0005), International Federation of Pharmaceutical Manufacturers & Associations (IFPMA) (OR; 6.45, p = 0.0005) and national codes of ethics (OR; 5.84, p = 0.0005). MNCs trained their MRs (OR; 6.68, p = 0.0005), provide accurate and valid scientific data (OR; 4.01, p = 0.007) with adequate system of accountability and controls on product samples (OR; 1.96, p = 0.047), while, NCs sponsor social or entertainment activities, seminars and conferences, and all sort of facilitation in form of gifts of their choice and clinic renovation for medical doctors (MDs). MDs perceptions were similar to MRs mentioned above, yet strongly agreed that companies offer cash payments or equivalents to MDs. The MRs of NCs/mncs and MDs agreed/strongly agreed that no external accountability, profiteering, pressure on sale targets, job insecurity, condoning unethical promotion by high-ups’ and business promotion by junior MDs were the predominant barriers.ConclusionIn conclusion, MRs of MNCs and MDs believed that MNCs follow certain codes of ethics in the promotion of pharmaceuticals, while NCs tend to be more profit oriented and even condone unethical promotion. All stakeholders, MRs, MDs and companies, might pose certain barriers, intentionally or unintentionally, in ethical promotion. (shrink)

Seasonal outbreaks have several different periods that occur primarily during winter in temperate regions, while influenza may occur throughout the year in tropical regions, triggering outbreaks more irregularly. Similarly, dengue occurs in the star of the rainy season in early May and reaches its peak in late June. Dengue and flu brought an impact on various countries in the years 2017–2019 and streaming Twitter data reveals the status of dengue and flu outbreaks in the most affected regions. This research work (...) presents that Social Media Analysis can be used as a detector of the epidemic outbreak and to understand the sentiment of social media users regarding various diseases. Providing awareness about seasonal outbreaks through SMA is an effective approach for researchers and healthcare responders to detect the early outbreaks. The proposed model aims to find the sentiment about the disease in tweets, and the seasonal outbreaks-related tweets are classified into two classes as disease positive and disease negative. This work proposes a machine-learning-based approach to detect dengue and flu outbreaks in social media platform Twitter, using four machine learning algorithms: Random Forest, K-Nearest Neighbor, Support Vector Machine, and Decision Tree, with the help of Term Frequency and Inverse Document Frequency. For experimental analysis, two datasets are analyzed individually. The experimental results show that the RF classifier has outperformed the comparison models in terms of improved accuracy, precision, recall, F1-measure, and Receiver Operating Characteristic curve. The proposed work offers favorable performance with total precision, accuracy, recall, and F1-measure ranging from 84% to 88% for conventional machine learning techniques. (shrink)

Manufacturing companies in today's industrial world are seeking to use the new manufacturing process methods. The primary goal of corporations is to achieve optimum production while deploying minimal capital. The fundamental purpose of this study is to examine the influence of various lean manufacturing practices on the sustainability performance of companies and the mediating role of green supply chain management. The data was gathered using questionnaires from 250 Pakistani manufacturing firms and analyzed using AMOS 25. Results demonstrate that process and (...) equipment, product design, supplier relationships, and customer relationships significantly affect sustainable performance. It is also recognized that Green Supply Chain Management mediates the interaction between HR processes, product design, supplier relationship, customer relationship, and environmental performance. The findings of this study will enable managers and decision-makers of manufacturing companies to increase sustainable efficiency and reduce waste through the use of lean manufacturing and GSCM implementation. (shrink)

Web search engines usually keep users’ profiles for multiple purposes, such as result ranking and relevancy, market research, and targeted advertisements. However, user web search history may contain sensitive and private information about the user, such as health condition, personal interests, and affiliations that may infringe users’ privacy since a user’s identity may be exposed and misused by third parties. Numerous techniques are available to address privacy infringement, including Private Information Retrieval protocols that use peer nodes to preserve privacy. Previously, (...) we have proved that PIR protocols are vulnerable to the QuPiD Attack. In this research, we proposed NN-QuPiD Attack, an improved version of QuPiD Attack that uses an Artificial Neural Network based model to associate queries with their original users. The results show that the NN-QuPiD Attack gave 0.512 Recall with the Precision of 0.923, whereas simple QuPiD Attack gave 0.49 Recall with the Precision of 0.934 with the same data. (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 first eulogies (Qaṣāīd) about the Prophet Muḥammad (pbuh) appeared when he was still alive. Ḥassān ibn Thābit (d. 60/680 [?]), ʿAbd Allāh b. Rawāḥa (d. 8/629) and Kaʿb b. Mālik (d. 50/670), important Muslim poets of the period, praised the Prophet and inspired future generations of poets. Depending on the developments in the following centuries, there had been a great increase in the number of poems sung to express enthusiastic feelings towards the Prophet and to defend him and (...) his Prophethood. Andalusia is one of the places where this genre increased the most. The first examples of the praise of the Prophet appeared in Andalusia during the Mulūk al-Ṭawāʾif period (1031-1090). The praises of the Prophet, which were processed in the poems of asceticism, dirge and elegy until the end of the 5th/11th century, became an independent genre called al-Madāʾiḥ al-Nabawiyyah/Nabawiyyāt thanks to the ever-increasing Ṣūfī thoughts penetrating literary circles. The turning point of the praise of the Prophet in Andalusia, as in the East, is the period of the The Almohads (1147-1238), which coincides with the 7th/13th century. The mawlid celebrations, which were first initiated by the Fāṭimids in the 4th/10th century to give legitimacy to their rule, and held every year in North Africa on the twelfth of the month of Rabi'ulawwal, moved to Andalusia at the end of the The Almohad period and gradually became one of the largest official and religious holidays in Andalusia. Giving awards to high-quality poems read on the mawlid festival and celebrations made all over Andalusia has greatly contributed to the literary richness in this field. In praise of the Prophet, talented poets such as Abū Zayd al-Fāzāzī (d. 627/ 1230), Ibn al-Jannān al-Anṣārī (d. 650/1252), Ibn Jābir (d. 780/1378) and Ibn Zumruk (d. 797/1395) emerged. Abū Zayd al-Fāzāzī, one of the most distinguished Prophetic ode poets of the Almohad period is said to have first pioneered the spread of Prophetic praises in Andalusia before the Iraqi poet Yaḥyā al-Ṣarṣarī (d. 656/1258) and the Egyptian poet Būṣīrī (d. 695/1296). He has a dīvān called al-Wasā’il al-mutaqabbalah, which he wrote in alphabetical order and dedicated to the praise of the Prophet. The fame of the odes he uttered about the Prophet spread as far as North Africa, and it has become a tradition to read his odes on special days. Because of the abundance and quality of Prophetic odes, Ibn al-Jannān, who witnessed the glorious days and the collapse of the The Almohad state, also commemorated the poet Ḥassān ibn Thābit, The Prophet’s Odic Poet. Ibn Jābir al-Andalusī, on the other hand, wrote the second ode in this field after Ṣafī al-Dīn al-Ḥilli (d. 749/1348), the inventor of the axiomatic odes, and became the pioneer of axiomatic odes in Andalusia. The effect of political instability on Prophetic odes in Andalusia, which entered its collapse with the end of the Almohad state, is obvious. According to many poets, salvation from this plight of Muslims in Andalusia is possible by once again adhering to the Sunnah of the Prophet. Probably as a reflection of this idea, many poets from 7th/13th centuries onwards devoted their odes to narrating the Prophet and his Sunnah. Poets who describe the Prophet elaborately in their poems hope to be saved from the troubles they have fallen into and to reach the highest rank in heaven. Poets who touched upon the physical characteristics of the Prophet often likened his smiling face to a bright sun and a full moon. In terms of oratory, they stated that he had a fluent language and never uttered bad words. Andalusian poets, who praised the Prophet with moral virtues such as tolerance, justice and courage, stated that there was nobody more merciful and generous than him due to the abundance of his blessings resembling torrential rain. Andalusian Prophetic ode poets adhered to the traditional forms of Arabic poetry in terms of the structure of eulogy. In the introductory parts of odes, they generally express longing for the Prophet and the holy places. The main theme is mostly the Prophet and his outstanding virtues, and they usually end their eulogies with salutation to the Prophet. Save a few Sufi poets, it can be said that they used simple and understandable language in their poems. The sources of inspiration for their poems are the Qur'an and hadiths. Andalusian poets used non-material axiomatic arts in their poems without disturbing the structure of eulogy. In addition to the art of pun, they provided musicality in the poem with the ‘tent-frame’ meter and rhyme scheme, sometimes supporting it through repetition. It is possible to see all kinds of repetitions in, Ibn al-Jannān's odes. In this study, the place of the Prophet in Andalusia and odes, which are reflections of the love for him, will be examined. In addition, the concept of the Prophet in Andalusia will be explained within the political, social and cultural framework of the period. (shrink)

The first poems about the Prophet Muḥammad appeared while he was alive. These first examples, which are panegyrics (madīḥ, i‛tiẕār, fakhr and ris̱ā), largely reflect the characteristics of the pre-Islamic qaṣīda poetry. Due to the developments in the following centuries, the number of poems about the Prophet increased. And thus, a separate literary genre was formed under the name al-madīḥ al-nabawī. Especially the fact that sufi leaning poets contributed to the literary richness in this field. Another factor is the (...) beginning of the tradition of writing mawlid poems in memory of the birth of the Prophet Muḥammad. The thirteenth century was an important period for poems praising the Prophet Muḥammad. Two important poets emerged in this century. One of them is Egyptian poet al-Būṣīrī and the other is Baghdad's famous poet, Yaḥyā al-Ṣarṣarī. Even after his death, Ṣarṣarî’s works with high literary value were read and memorized in the circles of science, literature and Sufism. Due to his competence in the field, al-Ṣarṣarī was known as the poet of the Prophet and Ḥassān b. Thābit of his time. However, it is understood that his poems, which lost their importance in literary circles over time, were not studied as much as they deserved in the modern period. In this article, his life and works are introduced and basic language and stylistic features of his poems are examined. Also, the image of the Prophet in his poems was determined within the framework of the political conditions of the period.Summary: In the field of madīh nabawī, which first appeared in the ‘Asr al-Sa’āda and has continued to the present day, especially two names stand out in the 7th/13th century, when famous poets such as Macduddīn al-Vitrī (d. 662/1264), Ibn al-Muraḥḥal (d. 699/1300) and Ṣafiyyuddīn al-Ḥillī (d. 749/1348) were also raised. One of them is the Egyptian poet al-Būṣīrī (d. 695/1296), who left his mark on the field of madīh nabawī with his many poems, especially Qaṣīda Burda, and the other is the Iraqi poet Yahya al-Ṣarṣarī (d. 656/1258), who was named Shā‘iru Rasūlillāh (The poet of the Prophet) and Ḥassānu Vaḳtihī (Ḥassān of that period) because of the quality of his poems in this field.al-Ṣarṣarī, was born in the village of al-Ṣarṣar, near Baghdad, spent most of his life in the shadow of Baghdad’s political instability and the social collapse that developed in parallel. He was killed in 656/1258 by the Mongolian forces that invaded Baghdad. al-Ṣarṣarī was extremely knowledgeable in fiqh, hadith, language, and ‘ilm al-qirāa. Our poet adopted the views of the Hanbalī law school. In addition, he turned to Sufism and became a murīd (disciple) of Ali ibn Idrīs al-Ya‘kūbī, a student of Abdalqadīr al-Gīlanī who was accepted as the founder of Qādiriyya. He was closely attached to the Sunnah of the Prophet and was fond of reading the Quran. He was chaste and patient and was content with what he had himself. All his works are poetic and they all concern the madīh nabawī or fiqh.Since his poems, almost all of which are about the praise of the Prophet, have a high literary value, they were read, memorized and narrated for a long time in the circles of science, literature and Sufism. In terms of its structure, his poems are based on the traditional forms of Arab qasīda. In the introductory sections of his poems, he often expresses his longing for Madina. The main subject in poems is usually the Prophet and his superior features. In the last part, he usually says salāt for the Prophet and seeks help from him. It can be said that he used simple language in his poems. The vocabulary reflects the characteristics of the urban life in which he lived. The source of inspiration for his poems are the Qur’an and especially the hadith of the Prophet. He uses the potential of literary arts as much as possible while conveying his feelings. But he does not allow the correct information to be lost due to these arts on a serious subject such as depicting the Prophet. We can see a lot of badī‘ (creative) art in some of his poems. But we can immediately understand that these arts do not spoil the beauty of his expression. The poet provides rhythm and harmony in his poetry with the meter and rhyme in accordance with the classical Arabic qasida rules. In addition, he strengthens the musicality in poetry with puns (jinās) and repetition.The influence of the instability of the region where al-Ṣarṣarī lived on his poems is obvious. According to him, the main reason for the terrible situation that Muslims were in was that they were away from the way of the Prophet. He thought that it would be possible to go back to the old peaceful days by following the way of the Prophet. Perhaps as a result of this opinion, he allocated his qasīda to the narration of the Prophet and his Companions. In his poems, he describes the Prophet with his names, superior qualities, physical and moral characteristics. He says that the sentences describing the Prophet are the ornament of poems and believes that praising him is a mean of salvation in the next world. He also hoped that the poems he said in order to achieve spiritual ascension would protect himself against the troubled events of the period.In his poems, especially on the occasion of mawlīd, al-Ṣarṣarī mentions the Prophet’s physical characteristics and likens his smiling face to a bright full moon, his brows to the letter nûn, his teeth to pearls. He describes the Prophet as a man with black eyes, broad shoulders, born with kohl-lined eyes, and who emanates a beautiful scent as a requirement of his creation. The poet, who also touches on the Prophet’s powerful address, states that his speech is more effective than Luqman’s wise words by virtue of his jawami‘ al-kalim (comprehensive speech) and faṣl al-khiṭab (clear speech), and that his soft address, which states nothing other than the truth, is a blessing from Allah. He additionally describes the Prophet’s plain words, easy to understand by all, as more valuable than jewels. al-Ṣarṣarī, who praises the Prophet in terms of morality with basic human virtues such as bashfulness, justice, modesty, and courage, emphasizes that he is, a paragon of patience, perseverance, kindness, and compassion through analogies such as, “his clothes are peace and perseverance”, his “cover is kindness and forgiveness”. In his world of imagery, the Prophet’s benevolence is so abundant like the rain that the clouds cannot compete with him. Also, he does not shame anybody for what he gives. He bestows the most valuable possessions like gold and camels. Even the respectable personalities of the tribe benefit from his grace. He is so generous that he is giving even when the clouds are stingy about giving rain during times of drought. He welcomes with a smile those who approach him with requests. The donations he makes privately are entirely satisfying.The image of prophethood in al-Ṣarṣarī’s poems, is centralized around the thought of nūr Muhammadī (prophetic light) and the miracles of the Prophet. He reminds that the Prophet never gave up despite the calamities he encountered and that he was supported with extraordinary events in various stages of his life since he was born, and reflects the understanding that the prophet is spiritually supporting the community with his nūr, and in the case the community follow his sunnah, overcoming the Mongolian attacks, which seems like a miracle, is possible. The mention of Qattāl (warrior), Māḥī (eliminator of disbelief), Ẓāhir, Ẓāfir, Manṣūr and Muẓaffar (victorious) among the Prophet’s names, especially those that evoke the superiority he gained in his fight against the disbelievers, giving greater prominence to his courage and valor among his virtues are also related to the political and social conditions of the period. The couplets about the Companions of the Prophet following the couplets that describe the Prophet’s valor, the emphasis of their aid to the Prophet, and the particular mention of their fighter spirit may be considered in the same context. Perhaps, in this way, the poet aims to boost the courage of the Muslims who are exposed to Mongolian attacks with respect to protecting their spiritual and holy values against the enemy. (shrink)

Muslim communities in the village facing the COVID-19 Pandemic attempts to find refuge from the plague and hope for survival. However, this led to more caution, which may lead to xenophobia. Via ethnography, this study unmasks the xenophobic attitude. This research discusses the root causes of panic in the community so that remedies can be implemented. The research attempts to explain, from a socio-anthropological viewpoint, how people and religious groups in the village perceive the pandemic of COVID-19 based on their (...) belief in their faith and in the science. The research takes place in Cigagak village, an area of approximately 7000 m2 on the outskirts of Bandung of West Java of Indonesia. This study examines the selected respondents from about 190 inhabitants who had close ties to managing places of worship and public places. This study utilises a collaborative self-ethnographic method and qualitative analysis. The influence of COVID-19 has moved to new exclusive and disintegrating practices from the inclusion-cohesive religious tradition. Therefore, this study tries to find out ways on how to reduce exclusive perception and religious practices to a minimum level and how to disappear xenophobia. Amid the COVID-19 Pandemic, inclusive awareness and actions were re-established, and even social cohesiveness was fostered. This study concludes that in its deep conviction nature, theology can change exclusive behaviour to be inclusive if it is based on the religious principles that are raised in response to human events. In this case, the Muslim community in a village can change the fear of COVID-19 pandemic to be a reducer of the panic based on the support of the religious doctrines.Contribution: This article used a collaborative self-ethnography with a religious socio-anthropological viewpoint. This study could help to solve social problems through theological convergence in Islamic milieu, especially that of the government’s formal Islamic organisation and organic Islamic leaders of the society. (shrink)

When the Taliban destroyed the famous statues of the Buddha in the Bamiyan Valley in Afghanistan more than a decade ago, the outrage of the global community, including that of prominent Muslim religious leaders, was matched perhaps only by the pious euphoria of Afghanistan’s hardliners. They had finally succeeded in removing visible signs of idolatry from their landscape, and fulfilled, at least in their own eyes, a long overdue religious mission. In the words of the Taliban leader Mullah Omar, “Muslims (...) should be proud to destroy idols. Our destroying them was an act of praise for God.”1Yet such extreme acts of puritanical iconoclasm at the hands of Muslim fundamentalists, at least within modern history, have more.. (shrink)

The doctrine of sunyata, or emptiness, is the cornerstone of Buddhist metaphysics. This article explores the doctrine as elaborated by Nagarjuna, as it developed in Mahayana Buddhism and extended into Chinese Hua-Yen teachings. It is the key to understanding the relationship between the discontinuous and continuous aspects of reality, the inter-penetration and identity of “emptiness” and phenomena, the cosmic permeation of Buddhahood, and the role of the Bodhisattva.

The article examines the nature of tawba, usually translated as ‘repentance’, in the thought of Abū Țālib al-Makkī . Makkī’s most comprehensive discussion of this topic appears in the thirty-second chapter of his Qūt al-qulūb , one of the most widely reads works of the early Sufi tradition. It is the longest single sustained treatment of tawba, written from the perspective of Sufi spiritual psychology, currently available to us from the first four centuries of Islam. By drawing on Revelation as (...) well as the earlier Sufi tradition he is heir to, Makkī delineates certain conditions which have to be met in order for tawba to be sound. The article explores Makkī’s treatment of these conditions as well as their relation to notions of tawba in the broader Islamic tradition. (shrink)

The article presents an analysis of Ibn al-ʿArabī’s treatment of fasting and hunger as it appears in chapters 106 and 107 of al-­Futūḥāt al-­makkiyya. In the process of examining this very short section of the encyclopedic text, the essay both draws out the deeper theological significance of hunger and fasting and highlights the virtues and trappings of the spiritual exercise in the mystic’s thought. An attempt is also made to situate some of Ibn al-ʿArabī’s ideas within the broader context of (...) the earlier Sufi tradition to which he was heir. (shrink)

Saba Mahmood’s anthropological work studies the gain in skills, agency and capacity building by the women’s dawa movement in Egypt. These women increase their virtue toward the goal of piety by following dominant, often patriarchal norms. Mahmood argues that “teleological feminism” ignores this gain in agency because this kind of feminism only focuses on opposition or resistance to these norms. In this paper I defend Mahmood’s “anti-teleological” feminist work from criticisms that her project valorizes oppression and has no vision for (...) a nonoppressive feminist future. I argue the future envisioned by teleological feminists gets caught in “the Hegelian” trap of replicating past oppression in their feminist future. I find in Mahmood’s work the tools to escape this trap. I argue, rather than a movement of overcoming oppression, Mahmood’s work suggests an immanent and creative movement that emphasizes difference for a truly new future. I turn to a Bergsonian metaphor and argue that this movement can be seen as akin to the movement of biological evolution. I conclude using the work of Eve Sedgwick that the Egyptian women that Mahmood studies are being read in a “paranoid” fashion and demonstrate using Leila Ahmed a better “reparative” reading of these women. (shrink)

The robustness of a health system can often be assessed by its response to unpredictable circumstances that demand resourcefulness and resilience. The ongoing COVID-19 pandemic has similarly challe...

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (shrink)

I begin the first part by showing how situationism should make us question traditional understandings of virtues as intrinsic dispositions. I concentrate specifically on situationist experiments related to mood. I then introduce Islamic virtue ethics and the dawa movement. In parts two and three I examine ethnography of the dawa movement to explore how they deal with worries about the influence of mood on their virtue. In part two I show how they train their habits in very traditional virtue ethics (...) ways in order to be more resilient when faced with virtue-diminishing affective situations. In part three I show how the situation, rather than hindering practitioners, is recruited into helping these women achieve piety. I conclude, in part four, by showing the dawa movement's creative use of the Islamic veil as a way to help these women deal with the objection that one cannot avoid all bad situations. Going beyond social psychological experiments, I examine two methodological sources not found in situationist debates. First, I argue for ethnography as an empirical method through which to study virtue. I draw on ethnography of the Islamic women's dawa movement. Secondly, the work in the philosophy of mind on ‘affective scaffolding’. (shrink)

With the increase in market competition and dynamic work environment, work overload seems to have become a common issue suffered by almost every employee. Overload usually results in not only poor health conditions but also mental circumstances. These problems then become a threat to the organizations in the form of poor performance and lack of ability to reach standards. Workplace spirituality is one way to deal with stressful overload conditions. This research deals with the study of moderating affects of workplace (...) spirituality on job overload and employee’s satisfaction relationship. Having large piles of work in given targeted time results in employees becoming stressed out from their work as well as their organization. The motive of their job becomes to achieve targets and diminish the creativity within the employees. Workplace spirituality basic dimensions mentioned in this research help one achieve these targets and help employees cope with the symptoms caused by work overload. The research includes three variables, workplace spirituality, job overload, and job satisfaction. The samples of 76 respondents were asked to fill the questionnaire on all the three variables. The final results show interestingly different results then, as conceptualized according to theory. Workplace spirituality also showed to have quite an impact on job satisfaction. (shrink)

The notion of 'natural kinds' has been central to contemporary discussions of metaphysics and philosophy of science. Although explicitly articulated by nineteenth-century philosophers like Mill, Whewell and Venn, it has a much older history dating back to Plato and Aristotle. In recent years, essentialism has been the dominant account of natural kinds among philosophers, but the essentialist view has encountered resistance, especially among naturalist metaphysicians and philosophers of science. Informed by detailed examination of classification in the natural and social sciences, (...) this book argues against essentialism and for a naturalist account of natural kinds. By looking at case studies drawn from diverse scientific disciplines, from fluid mechanics to virology and polymer science to psychiatry, the author argues that natural kinds are nodes in causal networks. On the basis of this account, he maintains that there can be natural kinds in the social sciences as well as the natural sciences. (shrink)

The coronavirus pandemic (COVID-19) has badly affected the social, physical, and emotional health of workers, especially those working in the healthcare sectors. Drawing on social exchange theory, we investigated the effects of participative leadership on employees’ workplace thriving and helping behaviors among frontline workers during the COVID-19 pandemic. In addition, we examined the moderating role of a leader’s behavioral integrity in strengthening the relationship between participative leadership, and employees’ workplace thriving and helping behaviors. By using a two-wave time-lagged design and (...) data collected from 244 healthcare workers, a moderated hierarchal regression was implemented to test the proposed hypotheses. As hypothesized, participative leadership predicted employees’ workplace thriving and helping behaviors. The leader’s behavioral integrity strengthened the relationship between participative leadership and employees’ thriving and moderated the relationship between participative leadership helping behaviors. Implications for research, theory, and practice are discussed. (shrink)

Existing work in the field of business ethics has explored how concepts in philosophy and other disciplines can be applied to blame at work, and considers blame’s potential impact on organisations and their employees. However, there is little empirical evidence of organisational blaming practices and their effects. This article presents an analysis of interviews with twenty-seven employees from a range of occupations, exploring their experience of blame, its rationale and impact. A diversity of blaming practices and perspectives is revealed, and (...) in making sense of these the authors draw on recent theoretical developments—Skarlicki, Kay, Aquino, and Fushtey’s concept of ‘swift-blame,’ and Fricker’s notion of ‘communicative blame.’ The study also reveals a tension between a desire to avoid ‘blaming’ on the one hand, and a need for ‘accountability,’ on the other, and the authors explore the implications of the findings for organisations in seeking to ‘manage’ blame. (shrink)

With the growing call for private sector actors to address global challenges, it is necessary to first assess whether regions with the greatest needs are accessing corporate philanthropy. In this paper, we ask whether corporate philanthropy is reaching those with the greatest health-care needs. Drawing on economic geography and corporate homophily, we argue that corporate philanthropy tends to exacerbate health inequality as grants are destined for counties with fewer health problems. We test and find support for this hypothesis using data (...) on health grants made by US corporate foundations and county-level health data. Our results that corporate health grants are less likely to go to counties which have a lower proportion of medical service providers and insured citizens suggest that corporate foundations are unwittingly complicit in worsening the resource gap between small, poor, rural counties and large, wealthy, urban counties. From an ethical perspective, we provide some guidance as to how this may be corrected. (shrink)

Substituted judgment assumes adequate knowledge of patient’s mind-set. However, surrogates’ prediction of individual healthcare decisions is often inadequate and may be based on shared background rather than patient-specific knowledge. It is not known whether surrogate’s prediction of patient’s integrative life-story narrative is better. Respondents in 90 family pairs rank-ordered 47 end-of-life statements as life-story narrative measure and completed instruments on decision-control preference and healthcare-outcomes acceptability as control measures, from respondent’s view and predicted pair’s view. They also scored their confidence in (...) surrogate’s decision-making and familiarity with pair’s healthcare-preferences. Life-story narratives’ prediction was examined by calculating correlation of statements’ ranking scores between respondent-personal and respondent-surrogate Q-sorts and between respondent-surrogate and pair-personal Q-sorts before and after controlling for correlation with respondent-personal scores, and by comparing percentages of respondent-surrogate Q-sorts co-loading with pair-personal vs. respondent-personal Q-sorts. Accuracy in predicting decision-control preference and healthcare-outcomes acceptability was determined by percent concordance. Results were compared among subgroups defined by intra-pair relationship, surrogate’s decision-making confidence, and healthcare-preferences familiarity. Mean age was 35.4 years, 69% were females, and 73 and 80% reported ≥ very good health and life-quality, respectively. Mean surrogate’s decision-making confidence score was 3.35 and 75% were ≥ familiar with pair’s healthcare-preferences. Mean projection, simulation, and adjusted-simulation correlations were 0.68, 0.42, and 0.26, respectively. Out of 180 respondent-surrogate Q-sorts, 24, 9, and 32% co-loaded with respondent-personal, pair-personal, or both Q-sorts, respectively. Accuracy in predicting decision-control preference and healthcare-outcomes acceptability was 47 and 52%, respectively. Surrogate’s decision-making confidence score correlated with adjusted-simulation’s correlation score. There were significant differences among the husband-wife, parent-child, and sibling-sibling subgroups in percentage of respondent-surrogate Q-sorts co-loading with pair-personal Q-sorts and percent agreement on healthcare-outcomes acceptability. Despite high self-reported surrogate’s decision-making confidence and healthcare-preferences familiarity, family surrogates are variably inadequate in simulating life-story narratives. Simulation accuracy may not follow the next-of-kin concept and is 38% based on shared background. (shrink)

Although informed consent is an integral part of clinical practice, its current doctrine remains mostly a matter of law and mainstream ethics rather than empirical research. There are scarce empirical data on patients’ perceived purpose of informed consent, which may include administrative routine/courtesy gesture, simple honest permission, informed permission, patient-clinician shared decision-making, and enabling patient’s self decision-making. Different purposes require different processes.

My intention in this paper is to reframe the practice of veiling as an embodied practice of self-development and self- transformation. I argue that practices like these cannot be handled by the choice/chance distinction relied on by those who would restrict religious minority accommodations. Embodied self- transformation necessarily means a change in personal identity and this means the religious believer cannot know if they will need religious accommodation when they begin their journey of piety. Even some luck egalitarians would find (...) leaning exclusively on preference and choice to find who should be burdened with paying the full costs of certain choices in one’s life too morally harsh to be justifiable. I end by briefly illustrating an alternative way to think about religious accommodation that does not rely on the choice/chance distinction. (shrink)

In this paper I offer a unified causal account of natural kinds. Using as a starting point the widely held view that natural kind terms or predicates are projectible, I argue that the ontological bases of their projectibility are the causal properties and relations associated with the natural kinds themselves. Natural kinds are not just concatenations of properties but ordered hierarchies of properties, whose instances are related to one another as causes and effects in recurrent causal processes. The resulting account (...) of natural kinds as clusters of core causal properties that give rise to clusters of derivative properties enables us to distinguish genuine natural kinds from non-natural kinds. For instance, it enables us to say why some of the purely conventional categories derived from the social domain do not correspond to natural kinds, though other social categories may. (shrink)