Because ports are considered to be the heart of the maritime transportation system, thereby assessing port performance is necessary for a nation’s development and economic success. This study proposes a novel metric, namely, “_port performance index (PPI)_”, to determine the overall performance and utilization of inland waterway ports based on six criteria,_ port facility, port availability, port economics, port service, port connectivity, and port environment_. Unlike existing literature, which mainly ranks ports based on quantitative factors, this study utilizes a Bayesian (...) Network (BN) model that focuses on both quantitative and qualitative factors to rank a port. The assessment of inland waterway port performance is further analyzed based on different advanced techniques such as sensitivity analysis and belief propagation. Insights drawn from the study show that all the six criteria are necessary to predict PPI. The study also showed that port service has the highest impact while port economics has the lowest impact among the six criteria on PPI for inland waterway ports. (shrink)

Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory, numerous methods have been studied and suggested/introduced to increase the flexibility level of the traditional probability distributions. In this paper, we implement different distribution methods to obtain five new different versions of the inverse Weibull model. The new modifications of the inverse Weibull model are called the logarithm transformed-inverse (...) Weibull, a flexible reduced logarithmic-inverse Weibull, the weighted TX-inverse Weibull, a new generalized-inverse Weibull, and the alpha power transformed extended-inverse Weibull distributions. To illustrate the flexibility and applicability of the new modifications of the inverse Weibull model, a biomedical data set is analyzed. The data set consists of 108 observations and represents the mortality rate of the COVID-19-infected patients. The practical application shows that the new generalized-inverse Weibull is the best modification of the inverse Weibull distribution. (shrink)

Ṣūfī people, as well as the ulema (ʿulemā), discussed the issue of how God (Ḥaḳḳ) surrounds the universe (ʿālem) and where the ʿarş (arsh / the ninth heaven) in which God ensconces himself exists. The Ṣūfī people supporting the unity of existence (Wahdat al-wujud) concept claim that God surrounds the universe by his own being and so that the ʿarş (arsh) is all the creation / created beings by God moreover they argued that people who rejected this idea could attribute (...) weakness or impotence to the power of God. On the other hand, commentators and scholastic theologians acknowledge the idea that God surrounds the universe not by his own being as Ṣūfīs claimed but God surrounds the universe by his knowledge (ʿilm) and power (ḳudret). They claimed that there was no physical connection of God with the universe. There-fore, this article discusses a couplet (beyit) written by Ḥuseyn-i Lāmekānī from Bayramī-Melāmī group in light of four different tracts (risāle). One of the four tracts was written by the author of the couplet Ḥuseyn-i Lāmekānī himself. The title of his tract is Wahdat-nameh (Vaḥdet-nāme). The other tract was written by Munīrī-yi Belgradī and the title of it is Şarḥ-i Qaṣīda-i Suleymān. The other two tracts analyzed in this article were written by Ṣalāḥ al-dīn-i ʿUşşāḳī. These two tracts try to explain how God surrounds the universe from the unity of existence (Wahdat al-wujud) perspective. Therefore, they may help in understanding the men-tioned couplet written by Lāmekānī. The outline of the article is as follows: the introduction has the text of the ghazal including the mentioned couplet and discusses how the characteris-tics of Bayramī-Melāmī people were reflected in their poems. This part also tries to determine who wrote the mentioned ghazal as there were two different pen manes / pseudonyms (mah-las) for the same ghazal in various resources. To determine the original writer of the ghazal is crucial for proper interpretation of the texts. The next part of the article discusses the accusa-tion that Lāmekānī was an heretic in the Şarḥ-i Qaṣīda-i Suleymān tract by Munīrī-yi Belgradī. This part also tries to outline Munīrī-yi Belgradī’s mode of thought to discuss the background of his criticism about the couplets. According to his way of thinking, though Munīrī had some tolerance to Ṣūfī people believing fenā fillāh, he ironically harshly criticized the Ṣūfī group supporting Wahdat al-wujud entitled as Fuṣūṣī. In the second section, based on his work named Wahdat-nameh (Vaḥdet-nāme), it is aimed to create a general portrait of Ḥuseyn-i Lāmekānī. In this context, it discusses how Wahdat al-wujud and Hurufism, which are generally big issues for Bayramī-Melāmī, influenced Lāmekānī. Therefore, the comparison between Oglan Sheikh İsmāʿil-i Maʿşūḳī who was clearly influenced by Wahdat al-mavjud (vaḥdet-i mevcūd) and Hurufism, and Ḥuseyn-i Lāmekānī is realized in this part. It was figured out that adoration of Fuṣūṣ al-Ḥikem (Fuṣūṣīlik) was more influential in Bayramī-Melāmī Sheikh’s mode of thinking through the analysis of the effect of Fuṣūṣ al-Ḥikem in Wahdat-nameh (Vaḥdet-nāme). It was suggested that the reason behind the allocation of Munīrī-yi Belgradī for Ḥuseyn-i Lāmekānī was the effect of Fuṣūṣ al-Ḥikem which was salient for Melāmī Sheikh Lāmekānī. The final part of the article is about two tracts Miftāḥ al-vucūd and Zayl al-kitāb written by Ṣalāḥ al-dīn-i ʿUşşāḳī. The criticized couplet was read under the light of these tracts. These two tracts are significant as they explain how God surrounds the universe and where the ʿarş (arsh) is located by referring to the verses of Quran al-Fussilet 41/54, al-Nisā 4/126 and el-Tāhā 20/5 mentio-ned in the couplet by Ḥuseyn-i Lāmekānī. Ṣalāḥ al-dīn-i ʿUşşāḳī proposed a new argument about how God surrounds the universe in Zayl al-kitāb. According to this argument, in Miftāḥ al-vucūd Ṣalāḥ al-dīn-i ʿUşşāḳī tries to explain God’s surrounding potent through the or-ders/grades of the existence. In Zayl al-kitāb, he claims that there must be a center for God’s surroundings of the universe and this center must be Ḥaḳīḳat al-Muḥammediyye. Ṣalāḥ al-dīn-i ʿUşşāḳī stated that he did not acknowledge this information by himself but he acquired it from Ibn Arabī when he had a dream. Lastly, this part of the article discusses what Rahman settles in ʿarş (arsh) means in terms of circle (devir) theory. It was suggested that according to Ṣūfī people believing Wahdat (vaḥdetçi) God’s ʿarş (arsh) is the human being himself by drawing on the Kasf al-Gıtā (Keşfu’l-Gıtā) qasida written by Sunʿullāh-ı Gaybī who was a successor of Ḥuseyn-i Lāmekānī from the second generation. (shrink)

The Arabic philosophical fable _Hayy Ibn Yaqzan _is a classic of medieval Islamic philosophy. Ibn Tufayl, the Andalusian philosopher, tells of a child raised by a doe on an equatorial island who grows up to discover the truth about the world and his own place in it, unaided—but also unimpeded—by society, language, or tradition. Hayy’s discoveries about God, nature, and man challenge the values of the culture in which the tale was written as well as those of every contemporary society. (...) Goodman’s commentary places _Hayy Ibn Yaqzan _in its historical and philosophical context. The volume features a new preface and index, and an updated bibliography. “One of the most remarkable books of the Middle Ages.”—_Times Literary Supplement_ “An enchanting and puzzling story.... The book transcends all historical and cultural environments to settle upon the questions of human life that perpetually intrigue men.”—_Middle East__ Journal_ “Goodman has done a service to the modern English reader by providing a readable translation of a philosophically significant allegory.”—_Philosophy East and West_ “Add[s] bright new pieces to an Islamic mosaic whose general shape is already known.”—_American Historical Review_. (shrink)

The Arabic philosophical fable _Hayy Ibn Yaqzan _is a classic of medieval Islamic philosophy. Ibn Tufayl, the Andalusian philosopher, tells of a child raised by a doe on an equatorial island who grows up to discover the truth about the world and his own place in it, unaided—but also unimpeded—by society, language, or tradition. Hayy’s discoveries about God, nature, and man challenge the values of the culture in which the tale was written as well as those of every contemporary society. (...) Goodman’s commentary places _Hayy Ibn Yaqzan _in its historical and philosophical context. The volume features a new preface and index, and an updated bibliography. “One of the most remarkable books of the Middle Ages.”—_Times Literary Supplement_ “An enchanting and puzzling story.... The book transcends all historical and cultural environments to settle upon the questions of human life that perpetually intrigue men.”—_Middle East__ Journal_ “Goodman has done a service to the modern English reader by providing a readable translation of a philosophically significant allegory.”—_Philosophy East and West_ “Add[s] bright new pieces to an Islamic mosaic whose general shape is already known.”—_American Historical Review_. (shrink)

During the COVID-19 outbreak, educational institutions were closed, and students worldwide were confined to their homes. In an educational environment, students depend on collaborative learning to improve their learning performance. This study aimed to increase the understanding of social media adoption among students during the COVID-19 pandemic for the purpose of CL. Social media provides a learning platform that enables students to easily communicate with their peers and subject specialists, and is conducive to students' CL. This study addresses the key (...) concept of CL during the COVID-19 pandemic by assessing social media use among students in higher education. The relationship between social media use and students' performance is crucial to understanding the role of social media during a pandemic. This study is based on constructivism theory and the technology acceptance model. Structural equation modeling was used to analyze the conceptual model using SmartPLS. The research findings indicate that social media plays an important role during the pandemic because it provides opportunities for students to enhance CL under the aforementioned situations. This study makes noteworthy theoretical and practical contributions. (shrink)

This study examined the relationship between urban culture and street vending. Prior research on this topic is limited and inconclusive. Therefore, we have proposed an integrated model to test the positive effect of urban culture on street vending using multiple mediations of consumption patterns, resistance, and microfinance. We tested a sample of 425 responses that reflect the public opinion in Baghdad, Iraq. These responses were collected between September and November 2018. A partial least squares–based structural equation modeling is employed to (...) test the validity of measurement models and the significance of the entire structural model, predictive power, and mediation analysis. We found that resistance mediates the effect of urban culture on street vending; low-income consumption and resistance sequentially mediate the effect of urban culture on street vending, while resistance mediates the effect of a lack of microfinance on street vending. The direct impact of culture on street vending is not significant, and a lack of microfinance positively influences the pervasiveness of trading on streets. This study contributes to the extant literature as it proposed and tested a novel and comprehensive model to analyze the relationship between urban culture and street vending, simultaneously examining the effects of culture, consumption, resistance, and microfinance on street vending. (shrink)

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)

Background. Imposter syndrome, associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students’ IS using the machine learning ensemble approach. Methods. This study was a cross-sectional design among medical students in Bangladesh. Data were collected from February to July 2020 through snowball sampling technique across medical colleges in Bangladesh. In this study, we employed three different machine learning techniques such (...) as neural network, random forest, and ensemble learning to compare the accuracy of prediction of the IS. Results. In total, 500 students completed the questionnaire. We used the YIS scale to determine the presence of IS among medical students. The ensemble model has the highest accuracy of this predictive model, with 96.4%, while the individual accuracy of random forest and neural network is 93.5% and 96.3%, respectively. We used different performance matrices to compare the results of the models. Finally, we compared feature importance scores between neural network and random forest model. The top feature of the neural network model is Y7, and the top feature of the random forest model is Y2, which is second among the top features of the neural network model. Conclusions. Imposter syndrome is an emerging mental illness in Bangladesh and requires the immediate attention of researchers. For instance, in order to reduce the impact of IS, identifying key factors responsible for IS is an important step. Machine learning methods can be employed to identify the potential sources responsible for IS. Similarly, determining how each factor contributes to the IS condition among medical students could be a potential future direction. (shrink)

Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. Researchers have developed numerous methods and techniques to cope with fuzziness or uncertainty. This research intends to introduce the novel concepts of complex neutrosophic relations and its types based on the idea of complex neutrosophic sets. In addition, these concepts are supported by suitable examples. A CNR discusses the quality of a relationship using the degree of membership, the degree of abstinence, and the degree (...) of nonmembership. Each of these degrees is a complex number from the unit circle in a complex plane. The real part of complex-valued degrees represents the amplitude term, while the imaginary part represents the phase term. This property empowers CNRs to model multidimensional variables. Moreover, some interesting properties and useful results have also been proved. Furthermore, the practicality of the proposed concepts is verified by an application, which discusses the use of the proposed concepts in statistical decision-making. Additionally, a comparative analysis between the novel concepts of CNRs and the existing methods is carried out. (shrink)

The world is looking toward organizations for social responsibility to contribute to a sustainable environment. Employees’ organizational citizenship behavior for the environment is a voluntary environmental-oriented behavior that is important for organizations’ environmental performance. Based on social learning theory, this study examined the effects of responsible leadership in connection with OCBE by using a sample of 520 employees in the manufacturing and service sectors in China including engine manufacturing, petroleum plants, banking, and insurance sector organizations. Further, the roles of psychological (...) ownership and employee environmental commitment were used as mediators and moderators simultaneously. The direct, mediation, and moderation model results exposed a positive relationship between responsible leadership and OCBE via employee psychological ownership and employee environmental commitment. The study also revealed that the indirect effect is stronger when employees hold a higher employee environmental commitment. The theoretical and practical implications for environmental sustainability in respect of organizations as well as future research directions are discussed. (shrink)

1. Uyun al-hikma, et l'opuscule d'Abu'l Faraj et la réfutation d'Ibn Sina, édité et annoté par H.Z. Ülken.--2. Les opuscules d'Ibn Sina, et Le livre de la différence entre l'esprit et l'âme, par Qosta b. Luqa; édité, étudié et onnoté [sic] par H.Z. Ülken.--3. Aşkın mâhiyeti hakkında risâle, neşreden ve Türkçeye çeviren A. Ateş.

Jama’at-i-Islami is one of the most prominent religious parties of Pakistan that also take active part in the politics of the country. The party is credited with the introduction of Islamic element in the political and constitutional set up of Pakistan. This paper highlights the efforts of the party for the enforcement of Islamic Constitution soon after the creation of Pakistan up to the enforcement of the Constitution of 1956. The style, ideas and politics of the party regarding the Islamic (...) Constitution in Pakistan from 1947 to 1956 are the main focus of the discussion. The second part of the paper deals with the contribution of the Jama’at in the Ahmadiyah issue. How reluctantly the party was involved in the issue and in what way could it win the sympathy of the people as a main leading force of the campaign against Ahmadiya influence in 1953 have been examined in the course of the discussion. (shrink)

... as the source of life for the intellectually oriented Jews of the Western world. As such it suffered almost complete sterility right from the start. ...

Although substantial evidence suggests receiving social support has positive implications for well-being, less is known about how providing support can confer benefits, particularly for Asian American and Latinx individuals who are more likely to come from interdependent cultures that emphasize family obligation. Asian American and Latinx college students reported on anxiety before taking part in a modified laboratory task that elicited a physiological stress response as measured by total cortisol output. They were randomly assigned to write a supportive note to (...) a family member, a supportive note to a close friend, or about their day in a control condition after the mild lab stressor and reported on psychosocial well-being. Those who provided support to a family member experienced higher self-esteem compared to those in the control condition. However, there was variation in Asian American and Latinx participants’ physiological stress response. The findings suggest that providing support to close others, particularly family members, can be differentially meaningful for individuals from diverse backgrounds. (shrink)

For efficient energy distribution, microgrids provide significant assistance to main grids and act as a bridge between the power generation and consumption. Renewable energy generation resources, particularly photovoltaics, are considered as a clean source of energy but are highly complex, volatile, and intermittent in nature making their forecasting challenging. Thus, a reliable, optimized, and a robust forecasting method deployed at MG objectifies these challenges by providing accurate renewable energy production forecasting and establishing a precise power generation and consumption matching at (...) MG. Furthermore, it ensures effective planning, operation, and acquisition from the main grid in the case of superior or inferior amounts of energy, respectively. Therefore, in this work, we develop an end-to-end hybrid network for automatic PV power forecasting, comprising three basic steps. Firstly, data preprocessing is performed to normalize, remove the outliers, and deal with the missing values prominently. Next, the temporal features are extracted using deep sequential modelling schemes, followed by the extraction of spatial features via convolutional neural networks. These features are then fed to fully connected layers for optimal PV power forecasting. In the third step, the proposed model is evaluated on publicly available PV power generation datasets, where its performance reveals lower error rates when compared to state-of-the-art methods. (shrink)

Business Ethics, the Environment & Responsibility, EarlyView.

We investigate and analyze the dynamics of hepatitis B with various infection phases and multiple routes of transmission. We formulate the model and then fractionalize it using the concept of fractional calculus. For the purpose of fractionalizing, we use the Caputo–Fabrizio operator. Once we develop the model under consideration, existence and uniqueness analysis will be discussed. We use fixed point theory for the existence and uniqueness analysis. We also prove that the model under consideration possesses a bounded and positive solution. (...) We then find the basic reproductive number to perform the steady-state analysis and to show that the fractional-order epidemiological model is locally and globally asymptotically stable under certain conditions. For the local and global analysis, we use linearization, mean value theorem, and fractional Barbalat’s lemma, respectively. Finally, we perform some numerical findings to support the analytical work with the help of graphical representations. (shrink)