The aim of present paper is to introduce the concept of ‘expressive perception’ in Ernst Cassirer’s philosophical mythology. Having Cited Dorothy Emmet’s methodological objection, the author, by recalling Kantian aspect of Cassirer’s thought and referring to the concept of ‘expressive perception’, would make an attempt to reply on his part: according to Cassirer, this level of perceptive experience is the origin of the mythical form of thinking as a whole and, at the same time, is the original and irreducible altogether. (...) Thus, taking ‘mythical thought’ as an independent form of thinking, beside the ‘critical-empirical’ form of thinking, is, for one thing, completely cogent; for another, due to its dependency upon expressive form of perception, mythical thought would never be quite omitted, rather, keep living latently beneath the skin of mental life. In addition, author explains how much Cassirer owes, regarding to the concept of ‘expressive form of perception’, to Max Scheler. Avoiding to elaborate on Scheler’s detailed argument, Cassirer relies strongly on the consequences Scheler draws from his considerations in his work ‘Wesen und Formen der Sympathie’. Restating Scheler’s argument briefly should help in understanding Cassirer’s idea. (shrink)

It is well known that the notion of transcendental logic has a prominent role in both Kant’s and Husserl’s theories of knowledge. The main aim of the present paper is to study the links between formal and transcendental logic in Husserl on the one hand, and the links between general logic and transcendental logic in Kant on the other. There is a debate about the proper relation between transcendental logic and general logic in Kant’s philosophy. By means of our definition (...) of transcendental logic, mainly drawn from Husserl’s analyses, we will try to offer an appropriate interpretation of Kant’s view. (shrink)

The increasing Islamophobia in the Western world is worsened not only by global political issues but also by the stance of Muslims, who are perceived as exclusive and ethnocentric, particularly in the Australian context. This article outlines the strategies used by Indonesian Muslims in Australia to deal with the Islamophobic discourse, namely enhancing religious engagement to enhance solidarity and social cohesion between them and increasing civic engagement as an assimilation attempt with Australians. Religious engagement is carried out through enhancing Islamic (...) lecture activities to promote a more moderate and open understanding of Islam. Meanwhile, civic engagement activities included increasing social involvement as a form of community service, collaborating more with other communities as a form of collective action, jointly proposing political policies as a form of political involvement, and working with Australians to create a better future as manifestations of civic engagement in the context of social change. CONTRIBUTION: Although Islamophobia is mostly a political issue, the Indonesian Muslim community in Australia views it as a chance to open up and demonstrate to the Australian community that they can work together in a broader kind of civic engagement. (shrink)

There are many network topology designs that have emerged to fulfill the growing need for networks to provide a robust platform for a wide range of applications like running businesses and managing emergencies. Amongst the most famous network topology designs are star network, mesh network, hexagonal network, honeycomb network, etc. In a star network, a central computer is linked with various terminals and other computers over point-to-point lines. The other computers and terminals are directly connected to the central computer but (...) not to one another. As such, any failure in the central computer will result in a failure of the entire network and computers in star network will not be able to communicate. The star topology design can be represented by a graph where vertices represent the computer nodes and edges represent the links between the computer nodes. In this paper, we study the vertex-edge-based topological descriptor for a newly designed hexagon star network. (shrink)

Objectivity is one of the most basic and difficult issues in modern and contemporary philosophy. The present paper is devoted to this issue from view- point of Husserl’s transcendental phenomenology. Since perception, particularly sense perception, in view of intentionality, as lowest level of objectivity can act as the base for perceiving the objectivity of other objects, whether real or unreal, it has been discussed in this paper. To do this, objectivity of the sense perception and its role in leading the (...) mind toward essential and ideal objects, and conversely, the role of latter objects in objectivity of the perception itself will be explored. Because the concepts of objectivity and evidence are correlate in Husserl’s philosophy, and since evidence as the self-given manifests itself, from the very beginning, in the lowest level, namely the objects of sense perception, and considering that evidence and objectivity of sense perception concern this lowest level, the critical viewpoint of Husserl’s phenomenology provides a firm and new basis for objectivity if taken at its full competence. (shrink)

States in northern Nigeria are the latest in a list of political entities around the world formalizing religious law, or institutionalizing Shari'ah, into their public law system. Shari'ah applies in many Muslim-majority countries in the realm of personal law. However, when it is expanded and made to apply as part of public law, it carries enormous constitutional implications. This article examines the institutionalization of Shari'ah in twelve northern states of Nigeria in year 2000 and the likely implications on the constitutionally (...) guaranteed rights of non-Muslim minorities in those states. Muslims' objection to the methodology of human rights discourse stems mostly from the need to maintain integrity of the family, safeguard the interests of the community in addition to those of the individual, and preserve religious belief as manifested in ritual and in daily life. The author argues that the core issue in preserving Muslim values without trampling on the rights of the minorities lies in finding a synergy for simultaneous application of Shari'ah and human rights. A synergy is imperative because neither has proved to be satisfactorily workable at the public law level for contemporary Muslims—neither Shari'ah as represented by fiqh literature, nor the secular oriented human rights. It concludes that it is the goal of justice that should be immutable rather than the means for achieving the goal. Therefore, reconciling Islam with protection of non-Muslim rights in a Muslim-majority constitutional democracy should present less conceptual difficulties and social tension than is presently the case. (shrink)

A topological index can be focused on uprising of a chemical structure into a real number. The degree-based topological indices have an active place among all topological indices. These topological descriptors intentionally associate certain physicochemical assets of the corresponding chemical compounds. Graph theory plays a very useful role in such type of research directions. The hex-derived networks have vast applications in computer science, physical sciences, and medical science, and these networks are constructed by hexagonal mesh networks. In this paper, we (...) determined the exact values of vertex-edge-degree-based topological descriptors for hex-derived networks HDN 1 p and HDN 2 p, which are generated by the hexagonal network of dimension p. (shrink)

The rapid growth of covert activities via communications network brought about an increasing need to provide an efficient method for data hiding to protect secret information from malicious attacks. One of the options is to combine two approaches, namely steganography and compression. However, its performance heavily relies on three major factors, payload, imperceptibility, and robustness, which are always in trade-offs. Thus, this study aims to hide a large amount of secret message inside a grayscale host image without sacrificing its quality (...) and robustness. To realize the goal, a new two-tier data hiding technique is proposed that integrates an improved exploiting modification direction method and Huffman coding. First, a secret message of an arbitrary plain text of characters is compressed and transformed into streams of bits; each character is compressed into a maximum of 5 bits per stream. The stream is then divided into two parts of different sizes of 3 and 2 bits. Subsequently, each part is transformed into its decimal value, which serves as a secret code. Second, a cover image is partitioned into groups of 5 pixels based on the original EMD method. Then, an enhancement is introduced by dividing the group into two parts, namely k1 and k2, which consist of 3 and 2 pixels, respectively. Furthermore, several groups are randomly selected for embedding purposes to increase the security. Then, for each selected group, each part is embedded with its corresponding secret code by modifying one grayscale value at most to hide the code in a -ary notational system. The process is repeated until a stego-image is eventually produced. Finally, the χ2 test, which is considered one of the most severe attacks, is applied against the stego-image to evaluate the performance of the proposed method in terms of its robustness. The test revealed that the proposed method is more robust than both least significant bit embedding and the original EMD. Additionally, in terms of imperceptibility and capacity, the experimental results have also shown that the proposed method outperformed both the well-known methods, namely original EMD and optimized EMD, with a peak signal-to-noise ratio of 55.92 dB and payload of 52,428 bytes. (shrink)

Magnetic resonance imaging is precise and efficient for interpreting the soft and hard tissues. Moreover, for the detailed diagnosis of varied diseases such as knee rheumatoid arthritis, segmentation of the knee magnetic resonance image is a challenging and complex task that has been explored broadly. However, the accuracy and reproducibility of segmentation approaches may require prior extraction of tissues from MR images. The advances in computational methods for segmentation are reliant on several parameters such as the complexity of the tissue, (...) quality, and acquisition process involved. This review paper focuses and briefly describes the challenges faced by segmentation techniques from magnetic resonance images followed by an overview of diverse categories of segmentation approaches. The review paper also focuses on automatic approaches and semiautomatic approaches which are extensively used with performance metrics and sufficient achievement for clinical trial assistance. Furthermore, the results of different approaches related to MR sequences used to image the knee tissues and future aspects of the segmentation are discussed. (shrink)

Most of the IoT-based smart systems require low latency and crisp response time for their applications. Achieving the demand of this high Quality of Service becomes quite challenging when computationally intensive tasks are offloaded to the cloud for execution. Edge computing therein plays an important role by introducing low network latency, quick response, and high bandwidth. However, offloading computations at a large scale overwhelms the edge server with many requests and the scalability issue originates. To address the above issues, an (...) efficient resource management technique is required to maintain the workload over the edge and ensure the reduction of response time for IoT applications. Therefore, in this paper, we introduce a metaheuristic and nature-inspired Artificial Bee Colony optimization technique that effectively manages the workload over the edge server under the strict constraints of low network latency and quick response time. The numerical results show that the proposed ABC algorithm has outperformed Particle Swarm Optimization, Ant Colony Optimization, and Round-Robin Scheduling algorithms by producing low response time and effectively managing the workload over the edge server. Furthermore, the proposed technique scales the edge server to meet the demand of high QoS for IoT applications. (shrink)

This article examines the relationship between religion, tradition and identity as seen from the myth about eclipses in a village in Central Java. Javanese people in rural areas still hold beliefs passed down from their ancestors about eclipses, both lunar and solar eclipses. Using a qualitative approach, the results of the study showed that the villagers believe that eclipses occur because of evil giants called buto named Batara Kala who try to devour the sun or the moon. This natural phenomenon (...) is believed to bring disaster to pregnant women and livestock. To fight the disaster, they must perform certain ceremonies or rituals. Based on ethnographic studies, this research provides an overview of eclipse mythology for Javanese locals and analyses it from identity theory. This shows that mythical rituals reflect a continuous identity formation. Although the traditions associated with these myths to some extent transcend the boundaries of the Islamic religion, they remain unchallenged. CONTRIBUTION: This research suggests that myths play an important role in the life and identity of the people who believe in them and perform the rituals associated with them. (shrink)

During the COVID-19 epidemic, personal safety has received increasing attention, leading to behavioral changes. Mobile-wallet makes it easier for people to keep social distance, which helps stop the spread of the COVID-19 virus. Evolving Internet technology has brought about changes in consumer lifestyle. The current situation of COVID-19 has created a business environment to shift from traditional ways and adopt e-commerce solutions worldwide. Grounded in technology acceptance model theory, this study’s objective is two-fold: First, this study intends to examine perceived (...) susceptibility to COVID-19, perceived severity of COVID-19, insecurity and discomfort as the predictors of perceived usefulness and perceived ease of use. Second, the current research intends to test the moderating effect of electronic words-of-mouth on the relationship between attitude and usage intention. Using survey methods, 226 usable responses were collected through a mall intercept survey in Pakistan. Data were analyzed using partial least square. The results revealed that PEOU and PU positively influence attitude toward M-wallet. This study has found that attitude positively influences the usage intention in adopting M-wallet. The results also support the moderating role of eWOM. These findings contribute to the marketing literature in several ways, particularly in Pakistan. This is the first study to use eWOM as a moderating variable in the TAM theory. In addition, this study adds to the current body of knowledge by considering eWOM as a multi-dimensional construct novel in m-wallet literature. (shrink)

This study is aimed to identify the relative effect of online review ratings and perceived crowding on purchase intentions of a consumer. Our study also investigated the contingent effect of gender and perceived crowding between the relationship of exogenous and endogenous variables. This study was conducted in the Malaysian restaurant industry. We applied the purposive sampling technique to identify respondents, the mall intercept survey method was used for data collection. Smart PLS software was applied for data analysis. This study demonstrates (...) through its results that online review ratings and perceived crowding have a positive effect on purchase intentions of a consumer. Moreover, if a consumer perceives crowding at a restaurant, this has a positive contingent effect on the relationship between review ratings and purchase intentions. This demonstrates that the consumer is more inclined to choose a restaurant with a high online review rating and has high perceived crowding at some unfamiliar place. Lastly, no evidence is found for the gender difference between review rating and purchase intentions; however, gender shows contingent effect and results confirmed that males preferred more crowded restaurants as compared to females. There are theoretical and practical implications for managers in the findings of this study. (shrink)

This research aims to identify the investor’s decision-making styles and their impact on entrepreneurial opportunities through the mediation role of entrepreneurial intention and moderation effect of social capital in the healthcare sector of Pakistan. This study applied a structural equation modeling to test the hypotheses on a sample of 400 healthcare investors. Our findings reveal that the conditional indirect relationship of entrepreneurial intention through social capital was significant on opportunity creation and an insignificant influence on opportunity discovery from decision-making styles. (...) This study provides implications for policymakers to enhance entrepreneurial opportunity creation by providing robust social environment investors and encouraging them to create business ventures in the healthcare sector. (shrink)

Arab and English cultures are incongruent, where the former is greatly influenced by religion when compared to the latter. This study focuses on court interpreting from Arabic into English and questions the interpreters’ objectivity when rendering religious and cultural expressions, bearing in mind that certain cultures, like the Arab and Muslim ones, have significant religious ties. To this end, fifteen transcripts were randomly collected from Canadian court hearings. The analysis showed that interpreting religious and cultural expressions can be complex, especially (...) when the original speaker attempts to transmit a notion that may have negative implications in the target language. The results also showed that court interpreters either added explanations to religious and cultural expressions or omitted them. Such additions and omissions may be used to avoid negative stereotypes other cultures have about Muslims and Arabs. The study recommends that future researchers interested in legal interpreting consider the non-verbal factors that can be observed during court hearings. The study suggests allocating extensive training sessions to interpreters on how to impartially render culture-bound expressions, mainly in the legal context. (shrink)

BackgroundHow do the police officers perceive health risk, psychological distress, and work stress during the COVID-19 outbreak in China? This study explores the health risk perception, work stress, and psychological distress of police officers who worked at the front line to implement lockdown measures.Materials and MethodsWe conducted a large-scale field survey with police officers sample in the northwestern part of China from February 29 to March 7, 2020. Independent-sample T-test and ANOVA were used to analyze whether there are differences in (...) health risk perception, work stress, and psychological distress between different groups. The regression analysis was employed to figure out the factors that influence police officers’ psychological distress.ResultsResults showed a gender difference in perceiving work stress among police officers. Also, police officers with chronic disease perceived higher health risks, more psychological distress, and higher work stress. Additionally, police officers above 45 years old significantly perceived higher health risks than young officers did. It also revealed that working hours contribute to police officers’ health risk perception, psychological distress, and work stress. Finally, our results highlight that age, working hours, chronic disease, health risk perception, and work stress significantly contribute to police officers’ psychological distress.ConclusionOur research verifies that there is a gender difference in perceiving work stress among police officers. Police officers with ongoing medical issues and above 45 years old suffer more during the COVID-19 outbreak in China. Our research suggests that the government should pay more attention to their physical health and mental health. The heavy workload containing the COVID-19 extends police officers’ working hours, causing higher health risks, work stress, and psychological distress. This study contributes to the psychological distress literature and provides a way forward to other countries struggling to contain the COVID-19. (shrink)

Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early diagnosis of such a condition is challenging due to its complex interdependence on various factors. There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis process. This research proposes developing a predictive model that can achieve a high classification accuracy of type 2 diabetes. The study consisted of two fundamental parts. Firstly, the study investigated handling missing data adopting (...) data imputation, namely, median value imputation, K-nearest neighbor imputation, and iterative imputation. Consequently, the study validated the implications of these imputations using various classification algorithms, i.e., linear, tree-based, and ensemble algorithms, to see how each method affected classification accuracy. Secondly, Artificial Neural Network was employed to model the best performing imputed data, balanced with SMOTETomek ensuring each class is represented fairly. This approach provided the best accuracy of 98% on the test data, outperforming accuracies achieved in prior studies using the same dataset. The dataset used in this study is concerned with gender and population. As a prospect, the study recommends adopting a larger population sample without geographic boundaries. Additionally, as the developed Artificial Neural Network model did not undergo any specific hyperparameter tuning, it would be interesting to explore tuning on top of normalized data to optimize accuracy further. (shrink)

This study is an effort to determine the status of Christian feminist theology in Pakistan and discusses the issues and challenges of patriarchal control of Church and religious, political, social, and minority issues faced by Christian women in Pakistan. It traces the history of Christian feminist theology in Pakistan as well. This qualitative study looks at important texts written on Christian theology, Christian feminism, and history of Church in Pakistan and also presents findings of in-depth interviews with women associated with (...) Church in Pakistan. (shrink)

This article attempts to evaluate emotive meanings across languages and cultures expressed and elicited semiotically from viewers. It investigates the challenges of subtitling emotive feelings in the American filmHomeless to Harvard(2003) into Arabic. It adopts Paul Thibault’s (2000. The multimodal transcription of a television advertisement: Theory and practice. In Anthony Baldry (ed.),Multimodality and multimediality in the distance learning age, 311–385. Campobasso: Palladino Editore) method of multimodal transcription and Feng and O’Halloran’s (2013. The multimodal representation of emotion in film: Integrating cognitive (...) and semiotic approaches.Semiotica197(1/4). 79–100) framework of the multimodal representation of emotion to formulate strategies for subtitling emotion from English into Arabic. Additionally, Feng and O’Halloran’s (2013) framework is adapted to show how stylistic choices (e.g., cinematography, music, soundtracks, etc.) and semiotic expressions can elicit emotion from viewers. The social semiotic model is employed to investigate how emotive representation is realized through verbal and non-verbal items. The findings showed that the filmmakers had properly used stylistic choices and various semiotic techniques to elicit emotion from the viewer derived from the emotion of the film’s heroine. (shrink)

1. Academics as a profession is traditionally viewed as stress-free due to high levels of academic freedom, clarity of job description and performance indicators, and tenure protected positions (Th...

Half a million species of plants could be existing in the world. Classification of plants based on leaf features is a critical job as feature extraction from binary images of leaves may result in duplicate identification. However, leaves are an effective means of differentiating plant species because of their unique characteristics like area, diameter, perimeter, circularity, aspect ratio, solidity, eccentricity, and narrow factor. This paper presents the extraction of plant leaf gas alongside other features from the camera images or a (...) dataset of images by applying a convolutional neural network. The extraction of leaf gas enables identification of the actual level of chlorophyll and nitrogen which may help to interpret future predictions. Our contribution includes the study of texture and geometric features, analyzing ratio of Ch and N in both healthy and dead leaves, and the study of color-based methods via CNN. Several steps are included to obtain the results: image preprocessing, testing, training, enhancement, segmentation, feature extraction, and aggregation of results. A vital contrast of the results can be seen by considering the kind of image, whether a healthy or dead leaf. (shrink)

The integration of cellular networks and vehicular networks is complex and heterogeneous. Synchronization among vehicles in heterogeneous vehicular clusters plays an important role in effective data sharing and the stability of the cluster. This synchronization depends on the smooth exchange of information between vehicles and remote servers over the Internet. The remote servers predict road traffic patterns by adopting deep learning methods to help drivers on the roads. At the same time, local data processing at the vehicular cluster level may (...) increase the capabilities of remote servers. However, global positioning system signal interruption, especially in the urban environment, plays a big part in the detritions of synchronization among the vehicles that lead to the instability of the cluster. Instability of connections is a major hurdle in developing cost-effective solutions for deriving assistance and route planning applications. To solve this problem, a self-localization scheme within the vehicular cluster is proposed. The proposed self-localization scheme handles GPS signal interruption to the vehicle within the cluster. A unique clustering criterion and a synchronization mechanism for sharing traffic information system data among multiple vehicles are developed. The developed scheme is simulated and compared with existing known approaches. The results show the better performance of our proposed scheme over others. (shrink)

Data center technology changes the mode of computing. Traditional DCs consist of a single layer and only have Ethernet connections among switches. Those old-fashioned DCs cannot fulfill the high resource demand compared with today’s DCs. The architectural design of the DCs is getting substantial importance and acting as the backbone of the network because of its essential feature of supporting and maintaining the rapidly increasing Internet-based applications which include search engines and social networking applications. Every application has its parameters, like (...) latency and blocking in the DC network. Every data center network has its specialized architecture. It has a specific arrangement of layers and switches, which increase or decrease the DC network’s efficiency. We develop a simulation tool that comprises two different DC architectures: basic tree architecture and c-Through architecture. Using this simulation, we analyze the traffic behavior and the performance of the simulated DCN. Our main purpose is to focus on mean waiting time, load, and blocking with respect to the traffic within the DCN. (shrink)

With the increasing growth of online shopping, businesses are intertwining to establish new shopping antecedents. Customer experience has steadily become the most important source of retailers’ long-term competitive advantage via difference. To preserve long-term and sustained consumer loyalty, retailers must continually improve the customer experiences. This study presents a framework for online retailing in a digital environment called the Online Customer Experience-Engagement Context model in the presence of value co-creation. Data was gathered from 189 people who purchased products online. For (...) additional analysis, testing the hypothesis, and model construction, SPSS 26 and Smart-PLS were used. The data was then evaluated further using descriptive statistics, path analysis, measurement, and structural model. The findings show that the online customer experience substantially influenced customer engagement, which improved customer loyalty. The VCC strengthened the link between online customer experience and customer engagement. It suggests that including consumers in co-creating a delightful online customer experience from time to time may be a valuable strategy for online retailers to increase customer engagement and loyalty. To create an overarching outcome, information integration theory, multi-attribute utility theory, and the attitude-behavior-context theory theories are converged to explain the proposed model in the study. (shrink)

Unsustainable HR practices impose illegitimate tasks on employees due to a shortage of resources. These illegitimate tasks bring counterproductive work behavior in terms of workplace incivility that creates a sense of ostracism in employees. To address these issues, the study examined the relationship among unsustainable HR practices in terms of illegitimate tasks and workplace ostracism. Whereas workplace incivility is defined as an underlying reason through which this association exists. Adopting a theoretical framework from earlier research, the study used cross-sectional data (...) and subsequently a method of quantitative research, and the sample comprised permanent faculty members of private universities in Pakistan working in different departments with different role titles. Smart PLS was applied to run multiple statistics analyzed on the obtained data. The results from the study supported the hypothesis by depicting a positive and significant association between illegitimate tasks and workplace ostracism. Further, workplace incivility was playing the mediating role between illegitimate tasks and workplace ostracism. The results from the study carry significant implications for managers and researchers. Recommendations and future research directions are also discussed in the paper. (shrink)

In the mining industry, smart surveying and exploration operations for the minerals are essential during mining missions. Usually, these missions are performed in remote areas that do not have a wireless communications infrastructure. This paper proposes to use the unmanned aerial vehicle as a relay communication node between the exploration team and the ground control station. UAV can act as a relay node to provide mobile, flexible, and reliable communication links in remote environments and complex topologies. In this work, the (...) pathloss models in millimeter-wave technology are considered because they provide massive data rates for line of sight scenarios. The optimization problem of identifying a 3D location and trajectory of the UAV relay node is formulated to maximize the total team members’ data rate. Because the problem is non-convex, the particle swarm optimization algorithm is used to solve it and determine an efficient location and trajectory of the UAV. (shrink)

Pakistan’s women educational attainment has been the lowest in the entire South Asia; with women and girls continuing to suffer discrimination in the field of education. This study is designed to examine the linkage between gender disparity in education and Pakistan economic success, using annual secondary data to date range 1980 to 2019. Also the study checked the variables integration order by using Dickey-Fuller and Philip-Peron tests apart from utilizing the ARDL bound test technique for long-run co-integration relationship while the (...) direction of causality were tested by using Granger causality. The analyses reflect that a strong adverse influence on growth was the result to be yielded from gender educational disparity in Pakistan. This finding is based on the empirical interpretation such as women educational attainment at primary and secondary levels, government expenditures on education, total secondary education and male secondary education significantly contribute to growth. However, the associations of population growth, total labor force, male education at primary level and total primary education with growth being significantly negative. This study also found long run pair-wise causality from male and female secondary school attainment separately, male primary education, total primary and total secondary education to economic success. (shrink)

As the COVID-19 outbreak remains an ongoing issue, there are concerns about its disruption, the level of its disruption, how long this pandemic is going to last, and how innovative technological solutions like Artificial Intelligence (AI) and expert systems can assist to deal with this pandemic. AI has the potential to provide extremely accurate insights for an organization to make better decisions based on collected data. Despite the numerous advantages that may be achieved by AI, the use of AI can (...) be perceived differently by society, where moral and ethical issues may be raised, especially in regards to accessing and exploiting public data gathered from social media platforms. To better comprehend the concerns and ethical challenges, utilitarianism and deontology were used as business ethics frameworks to explore the aforementioned challenges of AI in society. The framework assists in determining whether the AI’s deployment is ethically acceptable or not. The paper lays forth policy recommendations for public and private organizations to embrace AI-based decision-making processes to avoid data privacy violations and maintain public trust. (shrink)

Background The use of lengthy, detailed, and complex informed consent forms is of paramount concern in biomedical research as it may not truly promote the rights and interests of research participants. The extent of information in ICFs has been the subject of debates for decades; however, no clear guidance is given. Thus, the objective of this study was to determine the perspectives of research participants about the type and extent of information they need when they are invited to participate in (...) biomedical research. Methods This multi-center, cross-sectional, descriptive survey was conducted at 54 study sites in seven Asia-Pacific countries. A modified Likert-scale questionnaire was used to determine the importance of each element in the ICF among research participants of a biomedical study, with an anchored rating scale from 1 to 5. Results Of the 2484 questionnaires distributed, 2113 were returned. The majority of respondents considered most elements required in the ICF to be ‘moderately important’ to ‘very important’ for their decision making. Major foreseeable risk, direct benefit, and common adverse effects of the intervention were considered to be of most concerned elements in the ICF. Conclusions Research participants would like to be informed of the ICF elements required by ethical guidelines and regulations; however, the importance of each element varied, e.g., risk and benefit associated with research participants were considered to be more important than the general nature or technical details of research. Using a participant-oriented approach by providing more details of the participant-interested elements while avoiding unnecessarily lengthy details of other less important elements would enhance the quality of the ICF. (shrink)

If the physical mind is located in quantized space of the brain then how does the physical mind become the self? This remains an unresolved problem. It can be restated as how mental representations or mental states get their informational contents, and of doing so in terms of the natural functions brain states have? We call these natural brain functions not teleosemantic functions, but rather teleological functions. This is because teleosemantics portrays mental representations which must have informational contents that track (...) “operational explanations of cognitive capacities” while teleological functions do not as they are hidden in quantized space, suggesting that mind is physical. Specifically teleonomic capacities have been built into us by natural selection, which naturally leads to a teleogical notion of function. Our claim is that teleofunctionality as unification of mental states has natural functions that carry intrinsic dispositions that may be broadly defined as ‘subjectivity’ or intrinsic information content of mental states. Mental states have intrinsic dispositions to change their functions, producing correspondences to the world that includes further layers of subtlety hidden in quantized space. How does intrinsic information self-replicate content in cases of mental misrepresentation? The putative special virtue of teleosemantics and its ability to give a theory of error through ‘uncertainty’ is discussed based on a teleological functionalist epistemology. (shrink)

Very little attention has been given to understanding the commitment to service quality and desirable outcomes in the hotel industry. This study investigates the impact of directive and participative leadership on the frontline commitment to service quality through the mediation of knowledge sharing. This will eventually help us to generate the employees' commitment to service quality desirable behavior. The survey was distributed to 37 hotels. A total of 235 frontline employees participated in the survey. The study findings show that directive (...) leadership has a negative relationship with CSQ. On the other hand, participative leadership positively influences CSQ. Notably, knowledge sharing mediates between directive leadership, participative leadership, and commitment to service quality. There were positive linkages between commitment to service quality and desirable outcomes, job performance, and organizational citizenship behavior and negative relation to turnover intention. (shrink)

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

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)

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)

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

_This mirror for princes sheds light on the relationship between spiritual and political authority in early modern Egypt_ This guide to political behavior and expediency offers advice to Sufi shaykhs, or spiritual guides, on how to interact and negotiate with powerful secular officials, judges, and treasurers, or emirs. Translated into English for the first time, it is a unique account of the relationship between spiritual and political authority in late medieval / early modern Islamic society.

Ahmad Fardid, the 'anti-Western' philosopher known to many as the Iranian Heidegger, became the self-proclaimed philosophical spokesperson for the Islamic Republic, famously coining the term 'Westoxication'. Using new materials about Fardid's intellectual biography and interviews with thirteen individuals, Ali Mirsepassi pieces together the striking story of Fardid's life and intellectual legacy. Each interview in turn sheds light on Iran's twentieth-century intellectual and political self-construction and highlights Fardid's important role and influence in the creation of Iranian modernity. The Fardid phenomenon (...) was unique to the Iranian story, and yet contributed to a broader twentieth-century Heideggerian tradition that marked the political destiny of other countries under a similar ideological sway. Through these accounts, Mirsepassi cuts to the nerve of how deadly political 'authenticity movements' take hold of modern societies and spread their ideology. Combining a sociological framework with the realities of lived experience, he examines Iran's recent and astonishing upheavals, experiments, and mass mobilizations. (shrink)

During the Iranian Revolution of 1978/9, the influence of public intellectuals was widespread. Many espoused a vision of Iran freed from the influences of 'Westtoxification', inspired by Heideggerian concepts of anti-Western nativism. By following the intellectual journey of the Iranian philosopher Ahmad Fardid, Ali Mirsepassi offers in this book an account of the rise of political Islam in modern Iran. Through his controversial persona and numerous public and private appearances before, during and particularly after the Revolution, Fardid popularised an (...) Islamist vision militantly hostile to the modern world that remains a fundamental part of the political philosophy of the Islamic Republic to this day. By also bringing elements of Fardid's post-revolutionary thought, as well as a critical analysis of Foucault's writings on 'the politics of spirituality', Mirsepassi offers an essential read for all those studying the evolution of political thought and philosophy in modern Iran and beyond. (shrink)