The purpose of this study is to understand how leader humility effectively stimulates follower creativity in the workplace during the coronavirus disease 2019 scenario. Relying on social cognitive and social information processing theories, this study investigates how leader humility cultivates follower self-efficacy and follower creativity. Furthermore, it explores an intervening mechanism of follower self-efficacy and examines a moderating role of leader proactive personality. The hypothesized model is empirically tested by collecting the data from 405 employees and 87 managers working in (...) the banking sector of Pakistan. The results indicate that leader humility is positively related to follower self-efficacy and follower creativity, which improve the organization’s innovation climate and an environment for social sustainability. Follower self-efficacy is also significantly related to follower creativity. The mediation analysis shows that follower self-efficacy mediates the relationship between leader humility and follower creativity. Additionally, leader proactive personality moderates the relation between follower self-efficacy and follower creativity. This study highlights the importance of leader humility for creativity and extends the literature by explaining the role of self-efficacy. Furthermore, the findings may assist the policymakers in how a humble leader heightens employee creativity and social sustainability in COVID-19. (shrink)

This study aims to examine the underlying mechanism of the relationship between perceived green human resource management and perceived employee green behavior. By drawing on attitude and social exchange theories, we examined green commitment as a mediator and green knowledge sharing as a moderator of the GHRM–EGB relationship. The study employs partial least square structural equation modeling to analyze 329 responses. Data were collected in two time lags. The empirical results confirmed that GC mediates the relationship between GHRM and EGB. (...) However, the study results found that GKS moderated the indirect influence of GHRM on green behavior via GC. This research signifies the effect of GHRM, GKS, GC, and green behavior on organizations’ sustainability and environmental management. Despite the emerging literature on the significance of green practices in organizations for environmental management, no study has examined the moderating role of GKS on the indirect effect of GHRM on green behavior via mediating role of GC. This study offers valuable insight into environmental management in organizations through green practices and green behavior. (shrink)

The current study investigates whether tournament incentives motivate chief executive officer to be socially responsible. Furthermore, it explores the role of sub-national institutional contingencies [i.e., state-owned enterprises vs. non-SOEs, foreign-owned entities vs. non-FOEs, cross-listed vs. non-cross-listed, developed region] in CEO tournament incentives and the corporate social responsibility performance relationship. Data were collected from all A-shared companies listed in the stock exchanges of China from 2014 to 2019. The study uses the baseline methodology of ordinary least squares and cluster OLS regression. (...) Moreover, firm-fixed effects regression, two-stage least squares regression, and propensity score matching deal with the endogeneity problem and check the robustness of the results. The results provide reliable evidence that tournament incentives motivate CEOs to be more socially responsible. On the other hand, sub-national institutional contingencies positively affect the association between CEO tournament incentives and CSRP. The findings have important implications for companies and regulators who wish to enhance CSP by providing incentives to top managers. (shrink)

Examining the quality perceptions of consumers has often been recommended as an international research paradigm. This study is grounded in the Pakistani consumer market to evaluate the impact of food packaging cues on perceived product quality. The moderating effect of consumer knowledge was also taken into consideration in the study. A signaling theory was used in the study for its established predictive power in consumer behavior, marketing, and various fields of research. Based on the essence of the signaling theory, this (...) study hypothesized that food packaging cues cast a positive impact on perceived product quality and consumer knowledge moderates these relationships. By using the sample of 504 consumers, data were gathered using the mall intercept method following a multi-stage sampling technique. The responses were analyzed using Statistical Package for Social sciences and Smart Partial Least Square. The findings of this study unveil that the extrinsic cues' brand name, price, nutritional labels, and precautionary labels were positively and significantly related to the perceived product quality. However, the country of origin cast no impact on the perceived product quality. Consumer knowledge reflected a moderation effect on the relationships between brand name and country of origin with the perceived product quality whereas it exerted no moderation impact on the relationships of price, nutritional labels, and precautionary labels with the perceived product quality. As the results exhibit that Pakistani consumers rely on food packaging cues for perceiving a product, hence it is recommended that marketers and policymakers develop appropriate marketing strategies focused on the significance of food packaging cues. (shrink)

Cryptocurrency has revolutionized the economic system of the world. It provides a new and innovative means of exchange that has speedily invaded the financial market trends and changed the traditional cash world. However, consumers have low acceptability for blockchain-based cryptocurrency due to increasing online scams and the absence of a regulatory framework. There is also a misconception about its usage on many platforms, which has created a clear gap in the literature to address this issue. Therefore, the current study intends (...) to investigate the effect of technology awareness on the behavioral intention of crypto users through perceived factors. It also empirically examines the moderating role of government support on these indirect paths. The underlying framework is investigated by surveying 333 respondents from the Z generation. Results revealed that perceived factors mediate the relationship between technology awareness and behavioral intention. Furthermore, government support strengthens the indirect relationship of technology awareness on behavioral intention through technology acceptance determinants, such that the effect of technology awareness on behavioral intention through perceived factors is more assertive when government support is high. The findings will provide a new dimension to different financial bodies implementing monetary policy and highlight the need to adopt innovative digital technologies in Pakistan. (shrink)

Automatic incident detection plays a vital role among all the safety-critical applications under the parasol of Intelligent Transportation Systems to provide timely information to passengers and other stakeholders in smart cities. Moreover, accurate classification of these incidents with respect to type and severity assists the Traffic Incident Management Systems and stakeholders in devising better plans for incident site management and avoiding secondary incidents. Most of the AID systems presented in the literature are incident type-specific, i.e., either they are designed for (...) the detection of accident or congestion. While traveling along the road, one may come across different types of traffic incidents, such as accidents, congestion, and reckless driving. This necessitates that the AID system detects and classifies not only all the popular traffic incident types, but severity as well that is associated with these incidents. Therefore, this study aims to propose an efficient incident detection and classification framework for smart cities, by incorporating the efficacy of model stacking, to classify the incidents with respect to their types and severity levels. The experimental results showed that the proposed E-IDC framework achieved performance gains of 5%–56% in terms of incident severity classification and 1%–14% in terms of incident type classification when applied with different classifiers. We have also applied the Wilcoxon test to benchmark the performance of our proposed framework that reflects the significance of our approach over existing individual incident predictors in terms of severity and type classification. Moreover, it has been observed that the proposed E-IDC framework outperforms the existing ensemble technique, such as XGBoost used for the classification of incidents. (shrink)

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

This book analyses the state of development of Muslims at the regional level. It explains the linkages between the findings of global, national, and state-level studies with regard to the current status of Muslims and broadens understanding of Muslims and their participation in virtually all major sectors, including the economy, housing, demography, health, migration, state policy, and affirmative action. The book presents the challenges faced by the community and reflects upon the socio-economic and educational conditions of Muslims in Telangana State. (...) It presents a comparative analysis of mortality data, maternal health, delivery care, and child immunization, as well as reproductive health aspects and children’s nutritional status. It shares valuable insights into the impacts of emigration and internal migration on health among local Muslims and presents a detailed analysis of data from the Census of India, NSSO, and Commission of Inquiry on Socio-Economic and Educational Status of Muslims regarding the social, economic, and demographic situation of Muslims in Telangana, as well as their opportunities for development under the newly formed state government. The book would be of great interest to scholars and researchers in development economics, sociology, politics, history, cultural studies, minority studies, Islamic studies, and policy studies, as well as policymakers, civil society activists, and those working in media and journalism. (shrink)

This paper determines the relation between philosophy and anthropology. It further shows the intimate correspondence on the basis of metaphysics, ethics, epistemology, language, culture and environment. This paper examines the evolution of anthropology with respect to history of philosophy which includes; Ancient Greek, Medieval and Modern philosophy. In this write up I assume to show that how philosophers have interpreted the subject matter anthropology. Since anthropology is the study of humans and what this science acquires has been explained and clarified (...) in the science of philosophy, whether it is a metaphysical study of human person, his ethical, aesthetic, rational, environmental, physical and psychological investigations. This paper exhibits the role and dimensions of humans within the scope of time, space, environment, existence and language. (shrink)

In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. OCR (...) application has been developed for various cursive languages like Urdu, Chinese, and Japanese, but very little work is done for the recognition of the Pashto language. When it comes to handwritten character recognition, it becomes more difficult for OCR to recognize the characters as every handwritten character’s shape is influenced by the writer’s hand motion dynamics. The reason for the lack of research in Pashto handwritten character data as compared to other languages is because there is no benchmark dataset available for experimental purposes. This study focuses on the creation of such a dataset, and then for the evaluation purpose, a machine is trained to correctly recognize unseen Pashto handwritten characters. To achieve this objective, a dataset of 43000 images was created. Three Feed Forward Neural Network models with backpropagation algorithm using different Rectified Linear Unit layer configurations were trained and tested with this dataset. The simulation shows that Model 1 achieved accuracy up to 87.6% on unseen data while Model 2 achieved an accuracy of 81.60% and 3% accuracy, respectively. Similarly, loss was the lowest for Model 1 with 0.15 and 3.17 for training and testing, followed by Model 2 with 0.7 and 4.2 for training and testing, while Model 3 was the last with loss values of 6.4 and 3.69. The precision, recall, and f-measure values of Model 1 were better than those of both Model 2 and Model 3. Based on results, Model 1 is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters. (shrink)

This paper examines the function of language in the domain of education and it‘s vice versa. As we are aware of the fact that language and education are endemic elements of human development and evolution. According to Gandhi, education is the recognition of mind-body, soul and spirit. It is the attainment of the values through morality and ethics. Gandhi accepts communicative aspect of language where as Wittgenstein accepts analytical and conceptual aspect of language. Wittgenstein realized that education is the constituent (...) of what we know, believe and learn. Gandhi asserts on Mother tongue, primary- secondary languages and national languages whereas Wittgenstein emphasis on the natural languages, meta-languages and ideal languages. In this paper I shall demonstrate the problems of language which becomes hurdles in the process of education. For both Gandhi and Wittgenstein, there are problems not in language but in its ordinary usage, speaking, writing, meaning and communication. (shrink)

This article aims to respond to the long-lived perceived incompatibility between care and compassion and justice in organizational literature. It is argued that principles of care and compassion and principles of justice are compatible with each other and can be integrated in organizations in such a way that both will supplement each other. Previous researches tend to view concepts of care and compassion and justice either as competing or inheriting some fundamental trade-offs. This article argues that the highlighted incompatibility between (...) care and compassion and justice is mainly due to the limited understanding about the nature of organizational justice. Care and compassion carry elements of subjectivity and are dynamic in nature, whereas literature on organizational justice has described justice as an objective, static and linear construct due to which an incompatibility between these two very important phenomena is prevailing. This incompatibility can be removed by changing the way of looking at organizational justice and by exploring its dynamic nature. (shrink)

In this article, we solve nonlinear systems of third order KdV Equations and the systems of coupled Burgers equations in one and two dimensions with the help of two different methods. The suggested techniques in addition with Laplace transform and Atangana–Baleanu fractional derivative operator are implemented to solve four systems. The obtained results by implementing the proposed methods are compared with exact solution. The convergence of the method is successfully presented and mathematically proved. The results we get are compared with (...) exact solution through graphs and tables which confirms the effectiveness of the suggested techniques. In addition, the results obtained by employing the proposed approaches at different fractional orders are compared, confirming that as the value goes from fractional order to integer order, the result gets closer to the exact solution. Moreover, suggested techniques are interesting, easy, and highly accurate which confirm that these methods are suitable methods for solving any partial differential equations or systems of partial differential equations as well. (shrink)

Substance use disorders (SUDs) constitute a growing global health crisis, yet many limitations and challenges exist in SUD treatment research, including the lack of objective brain-based markers for tracking treatment outcomes. Electroencephalography (EEG) is a neurophysiological technique for measuring brain activity, and although much is known about EEG activity in acute and chronic substance use, knowledge regarding EEG in relation to abstinence and treatment outcomes is sparse. We performed a scoping review of longitudinal and pre-post treatment EEG studies that explored (...) putative changes in brain function associated with abstinence and/or treatment in individuals with SUD. Following PRISMA guidelines, we identified studies published between January 2000 and March 2022 from online databases. Search keywords included EEG, addictive substances (e.g., alcohol, cocaine, methamphetamine), and treatment related terms (e.g., abstinence, relapse). Selected studies used EEG at least at one time point as a predictor of abstinence or other treatment-related outcomes; or examined pre- vs. post-SUD intervention (brain stimulation, pharmacological, behavioral) EEG effects. Studies were also rated on the risk of bias and quality using validated instruments. Forty-four studies met the inclusion criteria. More consistent findings included lower oddball P3 and higher resting beta at baseline predicting negative outcomes, and abstinence-mediated longitudinal decrease in cue-elicited P3 amplitude and resting beta power. Other findings included abstinence or treatment-related changes in late positive potential (LPP) and N2 amplitudes, as well as in delta and theta power. Existing studies were heterogeneous and limited in terms of specific substances of interest, brief times for follow-ups, and inconsistent or sparse results. Encouragingly, in this limited but maturing literature, many studies demonstrated partial associations of EEG markers with abstinence, treatment outcomes, or pre-post treatment-effects. Studies were generally of good quality in terms of risk of bias. More EEG studies are warranted to better understand abstinence- or treatment-mediated neural changes or to predict SUD treatment outcomes. Future research can benefit from prospective large-sample cohorts and the use of standardized methods such as task batteries. EEG markers elucidating the temporal dynamics of changes in brain function related to abstinence and/or treatment may enable evidence-based planning for more effective and targeted treatments, potentially pre-empting relapse or minimizing negative lifespan effects of SUD. (shrink)

Keyword extraction refers to the process of selecting most significant, relevant, and descriptive terms as keywords, which are present inside a single document. Keyword extraction has major applications in the information retrieval domain, such as analysis, summarization, indexing, and search, of documents. In this paper, we present a novel supervised technique for extraction of keywords from medium-sized documents, namely Corpus-based Contextual Semantic Smoothing. CCSS extends the concept of Contextual Semantic Smoothing, which considers term usage patterns in similar texts to improve (...) term relevance information. We introduce four more features beyond CSS as our novel contributions in this work. We systematically compare the performance of CCSS with other techniques, when implemented over INSPEC dataset, where CCSS outperforms all state-of-the-art keyphrase extraction techniques presented in the literature. (shrink)

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

This paper examines incorrect use of oral contraceptives (OCs) in rural Bangladesh by using data from an OC compliance survey. Of the 1031 current users of OCs interviewed, about 13% took their pills out of sequence, while 17% left incorrect intervals between pill packs. Forty per cent of the women reported missing one active pill during the 6 months prior to the survey, and 74% of them took correct action with the missed pill. Of the women who missed two active (...) pills (16%), only 9% took correct action. Multivariate analyses revealed that women's education and their husbands' support helped protect against taking incorrect action with a missed pill. The fieldworker's contact was found to protect against leaving an incorrect interval between pill packs. Women who had membership of non-government organizations were less likely to interrupt their pill use, and more likely to take their pill out of sequence. The present study underscores the need for providing women with more support in their pill use, and advocates that service providers should be the focal point of efforts. Husbands' support is essential to improve the pill-taking behaviour of Bangladeshi women. (shrink)

A Utopia in a conceptually complete form consists in four aspects, which are the aesthetic, psychological, sociological and moral aspects. In this sense the concept of Utopia has remained in the West as something not practically feasible. In Eastern thought, though, this concept did not develop in an institutional form, yet an instance in the East can be traced which fulfils, at least partially, the above mentioned aspects of this Buddhism may be considered as satisfying the psychological of a utopia. (...) From this perspective a synthetic view of Eastern concept. For example, and the moral aspects and Western ideas of utopia is proposed in this paper. (shrink)

Vacuolar ATPases (V‐ATPases, V1Vo‐ATPases) are rotary motor proton pumps that acidify intracellular compartments, and, when localized to the plasma membrane, the extracellular space. V‐ATPase is regulated by a unique process referred to as reversible disassembly, wherein V1‐ATPase disengages from Vo proton channel in response to diverse environmental signals. Whereas the disassembly step of this process is ATP dependent, the (re)assembly step is not, but requires the action of a heterotrimeric chaperone referred to as the RAVE complex. Recently, an alternative pathway (...) of holoenzyme disassembly was discovered that involves binding of Oxidation Resistance 1 (Oxr1p), a poorly characterized protein implicated in oxidative stress response. Unlike conventional reversible disassembly, which depends on enzyme activity, Oxr1p induced dissociation can occur in absence of ATP. Yeast Oxr1p belongs to the family of TLDc domain containing proteins that are conserved from yeast to mammals, and have been implicated in V‐ATPase function in a variety of tissues. This brief perspective summarizes what we know about the molecular mechanisms governing both reversible (ATP dependent) and Oxr1p driven (ATP independent) V‐ATPase dissociation into autoinhibited V1 and Vo subcomplexes. (shrink)

Clinicians have an obligation to ensure that patients with adequate capacity can make autonomous decisions. Thus, patients who choose to forego treatment and leave hospitals “against medical advice” are typically allowed to do so. But what happens when they require clinicians’ assistance to physically leave? Is it incumbent upon clinicians to not only respect and fulfill patients’ requests with which they disagree, but to physically assist in their fulfillment? We attempt to develop an ethical framework wherein clinicians can honor patients’ (...) wishes without necessarily sacrificing their own moral position. (shrink)

Brain-computer interface multi-modal fusion has the potential to generate multiple commands in a highly reliable manner by alleviating the drawbacks associated with single modality. In the present work, a hybrid EEG-fNIRS BCI system—achieved through a fusion of concurrently recorded electroencephalography and functional near-infrared spectroscopy signals—is used to overcome the limitations of uni-modality and to achieve higher tasks classification. Although the hybrid approach enhances the performance of the system, the improvements are still modest due to the lack of availability of computational (...) approaches to fuse the two modalities. To overcome this, a novel approach is proposed using Multi-resolution singular value decomposition to achieve system- and feature-based fusion. The two approaches based up different features set are compared using the KNN and Tree classifiers. The results obtained through multiple datasets show that the proposed approach can effectively fuse both modalities with improvement in the classification accuracy. (shrink)

Exposure of the banking system to the Global Financial Crisis attracted attention to the study of riskiness and spillover. This paper studies the pattern of systemic risk and size effect in the Indian banking sector. Based on market capitalization, three public sector banks and three from the private sector were taken. Data are taken from the year 2007 to 2020. The analysis is done through quantile- CoVaR and TENET measure. State variables like Indian market volatility and global risk measures negatively (...) influence the Indian banks’ returns. Liquidity risk is a crucial aspect of private banks. Public banks experience public confidence even in the distress period. Large banks like HDFC and SBI bank offer the highest degree of systemic risk contribution. The role of private banks in transmitting systemic risk has been intensifying since 2015. Small-sized banks like PNB and BOB have become significant receivers and transmitters of risk. (shrink)

Despite the significant amount of debate that Merleau-Ponty’s work has seen over the years, it remains an unresolved issue whether his phenomenology offers what he announces as a ‘new definition of the a priori’. In this paper, I make a case in favor of his claim by clarifying his commitments to the a priori against two dominant lines of interpretation, naturalist and Kantian. I argue that Merleau-Ponty’s view that the sciences themselves rely on the a priori method of Wesensschau establishes (...) his basic commitment to apriority. At the same time, Merleau-Ponty’s treatment of the a priori differs in important respects from the Kantian a priori and its transcendental idealist ramifications because, on his view, the subject is not the unique ground of constitution. Having tackled these obstacles to understanding Merleau-Ponty’s commitments to the a priori, I argue in light of his conception of ‘radical reflection’ that rather than being a static element of experience, the a priori stands in a dynamic relation with the a posteriori as a distinctive way of articulating structures of lived experience. (shrink)

Changes in the understanding of the relationship between business and society have led to increased interest in and discussion of the notion of corporate social responsibility.This paper offers an empirical analysis of the perceptions of top executives in the West Midlands, U.K., and in Delhi, District Ghaziabad, India, of the notion of corporate social responsibility. Organisational changes and involvement in social action programmes, and problems of implementing and monitoring Social Responsibility in two cultures, India and Britain, were explored.

Conservative agriculture practice adoption literature advocates that adoption is caused by many factors comprising cognitive, social, economic, personal, and CAP-related factors. Evaluating the adoption of CAPs as the outcome is complex and challenging with regression-based models as the systemic interdependencies of the factors offer diverse or varying results. Farmer production and environmental orientations as cognitive stances are notable interpreters of CAP adoption. The appetite level for risk-taking, innovativeness, and trust facilitates the adoption of CAPs. However, a causal-predictive technique should be (...) used to investigate the adoption of CAP. Hence, this study engages in a configuration approach using a fuzzy-set qualitative comparative analysis to analyze the patterns of different types of farmers' orientations, personal level of trust on extension services, and innovativeness risk-taking attitude on the intention to adopt CAPs. The analysis is based on the 155-farmer data collected employing a structured interview from Pakistan. The results suggest that a higher level of environment orientation and innovativeness is sufficient to increase the intention to adopt CAPs. Moreover, a higher intention to adopt CAPs is achieved with a lower production orientation, a higher personal level of innovativeness, and a risk-taking attitude of the farmer. The innovativeness can help to develop the intention to adopt the CAPs among the environment and production-oriented farmers. Causal solutions offer a unique understanding that the farmers' environment and production orientation can combine to suggest inclined to adopt CAPs by having an attitude of innovativeness and risk-taking. The causal solutions achieved significant predictive validity in the holdout samples. Policy and farmer-level suggestions were made to raise the intention to adopt CAPs among the farmers. (shrink)

Introduction : a divided discipline -- A genealogy of agency -- Reforming a paradigm : constructivism to rational constructivism -- A rational constructivist theory of identity and strategy -- Jerusalem : the unsubstitutable core value -- Jihad for Jerusalem : Israel the tiger 1967-1997 -- Jihad for Jerusalem : Iran the cub 1967-1997 -- Jihad for Jerusalem : Saudi Arabia the paper tiger 1967-1997 -- Jihad for Jerusalem : Jordan the mouse 1967-1997 -- Conclusion : the future of Jerusalem.

In this paper, DSEK model with fractional derivatives of the Atangana-Baleanu Caputo is proposed. This paper gives a brief overview of the ABC fractional derivative and its attributes. Fixed point theory has been used to establish the uniqueness and existence of solutions for the fractional DSEK model. According to this theory, we will define two operators based on Lipschitzian and prove that they are contraction mapping and relatively compact. Ulam-Hyers stability theorem is implemented to prove the fractional DSEK model’s stability (...) in Banach space. Also, fractional Euler’s numerical method is derived for initial value problems with ABC fractional derivative and implemented on fractional DSEK model. The symmetric properties contribute to determining the appropriate method for finding the correct solution to fractional differential equations. The numerical solutions generated using fractional Euler’s method have been plotted for different values of α where α ∈ 0,1 and different step sizes h. Result discussion will be given, describing the changes that occur due to the step size h. (shrink)

Despite the significant amount of debate that Merleau-Ponty’s work has seen over the years, it remains an unresolved issue whether his phenomenology offers what he announces as a ‘new definition of the a priori’. In this paper, I make a case in favor of his claim by clarifying his commitments to the a priori against two dominant lines of interpretation, naturalist and Kantian. I argue that Merleau-Ponty’s view that the sciences themselves rely on the a priori method of Wesensschau establishes (...) his basic commitment to apriority. At the same time, Merleau-Ponty’s treatment of the a priori differs in important respects from the Kantian a priori and its transcendental idealist ramifications because, on his view, the subject is not the unique ground of constitution. Having tackled these obstacles to understanding Merleau-Ponty’s commitments to the a priori, I argue in light of his conception of ‘radical reflection’ that rather than being a static element of experience, the a priori stands in a dynamic relation with the a posteriori as a distinctive way of articulating structures of lived experience. (shrink)

Using a time-lagged design, we tested the main effects of Islamic Work Ethic (IWE) and perceived organizational justice on turnover intentions, job satisfaction, and job involvement. We also investigated the moderating influence of IWE in justice–outcomes relationship. Analyses using data collected from 182 employees revealed that IWE was positively related to satisfaction and involvement and negatively related to turnover intentions. Distributive fairness was negatively related to turnover intentions, whereas procedural justice was positively related to satisfaction. In addition, procedural justice was (...) positively related to involvement and satisfaction for individuals high on IWE however it was negatively related to both outcomes for individuals low on IWE. For low IWE, procedural justice was positively related to turnover intentions, however it was negatively related to turnover intentions for high IWE. In contrast, distributive justice was negatively related to turnover intentions for low IWE and it was positively related to turnover intentions for high IWE. (shrink)