Proposals to release genetically engineered organisms in the wild raise complex ethical issues related to their safe and equitable implementation. While there is broad agreement that community and public engagement is vital to decision‐making in this context, more discussion is needed about who should be engaged in such activities and in what ways. This article identifies Indigenous peoples as key stakeholders in decisions about gene‐editing in the wild and argues that engagement activities need not only include Indigenous peoples but also (...) be designed, conducted, and analyzed in ways that confront longstanding power imbalances that dismiss Indigenous expertise. We offer specific recommendations to guide deliberative activities to not only be inclusive of Indigenous peoples but also to empower their diverse, situated knowledges. We call on those committed to the inclusive design of broad public deliberation to pursue strategies that shift dominant power dynamics to include Indigenous communities in more meaningful ways. (shrink)

The social interface between reproductive medicine and embryonic stem cell research has been investigated in a pilot study at a large IVF clinic in central China. Methods included observation, interviews with hospital personnel, and five in-depth qualitative interviews with women who underwent IVF and who were asked for their consent to the donation of embryos for use in medical (in fact human embryonic stem cell) research. This paper reports, and discusses from an ethical perspective, the results of an analysis of (...) these interviews. The participants talked of extreme social pressure to become pregnant. Once they had a baby, ‘spare’ embryos lost practical significance due to the Chinese one-child policy. In the context of decision making about donating embryos to research, the women used the clinical distinctions between ‘good and bad quality’ embryos and also between frozen and transferred embryos, as guiding moral distinctions. In the absence of concrete information about what sort of research their embryos should be used for, the women interviewed either refused consent (for fear that the embryo would be given to another couple) or accepted, expressing motives of solidarity with other women in a similar situation. This reveals that they filled the knowledge gap with an image of research improving fertility treatment. (shrink)

In this paper I examine whether different suggestions made in the philosophy of perception can help us to explain and understand the phenomenal character of emotional experience. After having introduced the range of possible positions, I consider qualia-theory, reductive pure intentionalism and reductive impure intentionalism. I argue that qualia-theory can easily explain why emotions are phenomenal states at all but that it cannot account for the “inextricable link thesis” which is quite prominent in the philosophy of emotion. Reductive pure and (...) impure intentionalism, in turn, seem to fit better with this thesis but they have difficulties to explain what makes emotions phenomenal states at all. Therefore, I finally discuss whether non-reductive intentionalism might be an option for explaining the phenomenal character of emotional experience. (shrink)

In this paper, we investigate the role of intention and joint attention in joint actions. Depending on the shared intentions the agents have, we distinguish between joint path-goal actions and joint final-goal actions. We propose an instrumental account of basic joint action analogous to a concept of basic action and argue that intentional joint attention is a basic joint action. Furthermore, we discuss the functional role of intentional joint attention for successful cooperation in complex joint actions. Anika Fiebich is (...) PhD student in Philosophy at the Ruhr-University Bochum, Germany. Shaun Gallagher is Lilian and Morrie Moss Professor of Philosophy at the University of Memphis, USA. (shrink)

In this article, we propose a pluralistic approach to the explanation of social understanding that integrates literature from social psychology with the theory of mind debate. Social understanding in everyday life is achieved in various ways. As a rule of thumb we propose that individuals make use of whatever procedure is cognitively least demanding to them in a given context. Aside from theory and simulation, associations of behaviors with familiar agents play a crucial role in social understanding. This role has (...) been neglected so far. We illustrate the roles of fluency and associations in social understanding in false belief tasks. (shrink)

Women entrepreneurs innovate, initiate, engage, and run business enterprises to contribute the domestic development. Women entrepreneurs think and start taking risks of operating enterprises and combine various factors involved in production to deal with the uncertain business environment. Entrepreneurship and technological innovation play a crucial role in developing the economy by creating job opportunities, improving skills, and executing new ideas. It has a significant impact on the income of the household. The study focused on investigating the role of women’s entrepreneurship (...) and innovation technologies in contributing to household income in the challenging situation of the pandemic COVID-19. The paper emphasized identifying the determinants of female entrepreneurial contribution toward household income. This study collected data from selected rural and urban areas of district Faisalabad through a self-administered questionnaire. Investigators interviewed female entrepreneurs and chose them through the snowball sampling technique from a population of purposively selected female-run businesses. Interviews were conducted with women entrepreneurs to gather relevant information for the survey investigation at their workplaces and home. The effects of various factors, including age, education, family size, income from other sources, time allocated to entrepreneurial activity, firm size, and location were estimated empirically using an ordered logit model. The study findings exhibited a positive and significant role of respondents’ education, family size, time allocated to entrepreneurial activities, and firm size. The survey outcomes also indicated that the contribution of entrepreneurial income to household income in the rural areas is significantly higher than that in urban areas. This study signifies that regulations against gender discrimination in public and private institutions are helpful. Besides, encouraging an environment for entrepreneurial culture among women in the country would increase family income. The study’s findings and policy implications directly link to Sustainable Development Goal 5 of Gender Equality and SDG 8 related to decent work and economic growth. (shrink)

In this paper, I aim to determine to what extent contemporary cross-cultural and developmental research can shed light on the role that narrative practices might play in the development of folk psychology. In particular, I focus on the role of narrative practices in the development of false belief understanding, which has been regarded as a milestone in the development of folk psychology. Second, I aim to discuss possible cognitive procedures that may underlie successful performance in false belief tasks. Methodologically, I (...) distinguish between two kinds of narrative practices: ‘mentalistic narrative practice’, and ‘behavioral-contextual narrative practice’ behavior of another person in a specific socio-situational context). Whereas the former is more prevalent in Western cultures than in Eastern cultures, the latter is predominantly used by members of Eastern cultures. Mentalistic narrative practices correlate with cultural divergences in the development of false belief understanding throughout ontogeny but do not seem to play the key role. The analysis shows that conceptual change and the acquisition of mental state terms is essential for passing the false belief task, and that theory is likely to be the cognitive mechanism involved here such as proposed by Theory Theory. However, Hutto’s Narrative Practice Hypothesis trumps over Theory Theory to account for the varieties and ambiguities people typically meet when understanding each other in everyday life. (shrink)

In this article I defend pluralist theory against various objections. First, I argue that although traditional theories may also account for multiple ways to achieve social understanding, they still put some emphasis on one particular epistemic strategy. Pluralist theory, in contrast, rejects the so-called ‘default assumption’ that there is any primary or default method in social understanding. Second, I illustrate that pluralist theory needs to be distinguished from integration theory. On one hand, integration theory faces the difficulty of trying to (...) combine traditional theories of social understanding that have contradictory background assumptions. On the other hand, pluralist theory goes beyond integrating traditional theories by accounting for a variety of factors that may play a role in social understanding but have been neglected in such theories, including stereotype activation, social and personal relationships, contextual features, individual moods, perceptions, and so on. Third, I argue that if the default assumption is rejected, pluralist theorists need to provide another positive account of why particular cognitive processes are more likely to come into play in a specific instance of social understanding than others in order to provide a genuine alternative to traditional theories. I discuss three versions of pluralist theory that meet this challenge by pointing to normativity, fluency, and interaction. (shrink)

This volume examines minimality in cooperation and shared agency from various angles. It features essays written by top scholars in the philosophy of mind and action. Taken together, the essays provide a genuine contribution to the contemporary joint action debate. The main accounts in this debate present sufficient rather than necessary or minimal criteria for there to be cooperation. Much discussion in the debate deals with robust rather than more attenuate and simple cases of cooperation or shared agency. Focusing on (...) such minimal cases, however, may help to explain how cooperation comes into existence and how minimal cooperation interrelates with more complex cases of cooperation. The contributors discuss minimality in cooperation by focusing on particular aspects. For example, they consider how social roles might deliver minimal cooperation constraints or what the minimal contextual criteria are for cooperation to emerge. Readers will find the answers to these and other questions: What is minimally cooperative behavior? By what steps could full members of a society organized by conventions, norms and institutions be constructed from creatures with minimal social skills and cognitive abilities? What do we experience of actions when we act together with a purpose? (shrink)

For decades, philosophers and psychologists have assumed that children understand other people’s behavior on the basis of Belief Reasoning (BR) at latest by age 5 when they pass the false belief task. Furthermore, children’s use of BR in the true belief task has been regarded as being ontogenetically prior. Recent findings from developmental studies challenge this view and indicate that 4- to 5-year-old children make use of a reasoning strategy, which is cognitively less demanding than BR and called perceptual access (...) reasoning (PAR), in true belief tasks. I appeal to research on fluency to explain these findings. On my account, 4- to 5- year-old children understand other people’s behavior by means of BR if they experience cognitive strain (such as in false belief tasks) but they revert to simpler heuristics PAR when such an experience is missing (such as in true belief tasks). (shrink)

In this article, I argue for cooperation as a three-dimensional phenomenon lying on the continua of a cognitive, a behavioural, and an affective axis. Traditional accounts of joint action argue for cooperation as involving a shared intention. Developmental research has shown that such cooperation requires rather sophisticated social cognitive skills such as having a robust theory of mind - that is acquired not until age 4 to 5 in human ontogeny. However, also younger children are able to cooperate in various (...) ways. Moreover, the coordinated behaviours of the agents can be more or less complex. Finally, phenomenological considerations and findings from social psychology illustrate that affective states and agent-specificities may play a central role in cooperative activities. I end with discussing the implications of my analysis that speak in favour of a pluralist account of social cognition. (shrink)

As legal scholar Ariela Dubler notes, the institution of marriage casts a long shadow across contemporary social life. Much more than a way of conferring social sanction on sexual and romantic relationships, marriage unlocks a wide range of social goods, from inheritance rights to medical records access. In addition, though, and as generations of feminists, queer activists, and others have made clear, this institution is part of a wider network of power relationships that it helps to shore up and conceal. (...) Critics most often point to the way the marital regime quietly reinforces patriarchal, bourgeois liberal, and heteronormative assumptions, hiding them in the shadow of putatively benign, private, and natural social structures. This article brings the overlooked connections between marriage and race out of the shadows and more fully into view. Using and refining a fourfold notion of racial invisibility developed in Taylor’s Black Is Beautiful, we consider two respects in which this ocularcentric metaphor for racialized epistemic short-circuiting is particularly appropriate for discussing the marital regime. (shrink)

In many immigrant groups, women gain less command of the host country language than the men. Using life story interviews with marriage migrants from Turkey, now living in Denmark, this article investigates this limited language learning, linking it to these women's lives as they primarily unfold in three social locations: households, workplaces and language schools. During their first years in Denmark a gendered division of work may relegate the women to the Turkish- or Kurdish-speaking home environment. When they subsequently enter (...) work, their poor Danish skills only allow them access into jobs with little host country interaction. The available language education becomes fragmented after childbirth and often remains inadequate to substantially raise the women's command of Danish. Furthermore, national legislation may unintentionally impede language learning. As a result, even women with expressed ambitions of acquiring Danish may continue living below a `language threshold' that precludes them from gaining broader access to host country resources. (shrink)

In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the (...) Chebyshev wavelet method, and the modified wavelet-based algorithm. Moreover, based on the novelty and scientific importance, the present method can be extended to solve other nonlinear fractional-order delay differential equations. (shrink)

Background:Clinical ethics committees have been broadly implemented in university hospitals, general hospitals and nursing homes. To ensure the quality of ethics consultations, evaluation should be...

Research suggests that ethical leadership influences employees’ behavior and organizational functioning. Thus, the purpose of this study is to investigate the role of ethical leadership in the improvement of employees’ innovative performance. Specifically, this research developed and tested a framework about the intermediating mechanism of social capital in the relationship between ethical leadership and employees’ innovative performance. The current study integrated assumptions of social learning and social exchange theories, which postulate that the leadership has a direct effect on the employees’ (...) conduct, principally through role modeling and the reciprocal landscape. Data were collected through in-person administered questionnaire-based survey from 297 employees working in the manufacturing sectors of Pakistan. The conceptual model of our research was analyzed applying Structural Equation Modeling (SEM). The results exhibited that the ethical leadership plays an important role in fostering employees’ innovative performance. The present study also found that social capital plays an intermediating role between the ethical leadership and employees’ innovative performance relationship. The current study contributed to the leadership and innovation literature and provided insights in examining the ethical leadership-employees’ innovative performance relationship through the intermediating mechanism of social capital. (shrink)

Islamic financial institutions (IFIs) are emerging as prominent players in the financial world and are increasingly known for their conservative socially responsible investment (SRI). Being the Shari'a regulators and monitors of IFIs, the Shari'a departments are expected to implement the Islamic perspective of SRI – drawn from Shari'a principles – in their respective institutions. The purpose of this paper is to develop an SRI framework applicable to IFIs and other Shari'a compliant entities and assess its applicability within Shari'a departments of (...) two Islamic banks. This paper involves cross-case analysis based on interviews with Shari'a department officials in two settings differentiated by their respective independence. The proposed framework consists of required, expected and desired SRI aspects as applicable to IFIs. The findings reveal that the required aspects are uniformly observed by the two cases. There are, however, variations when it comes to observing the expected and desired ethical SRI aspects that may be driven by the independence of the Shari'a boards. This inconsistency and non-adherence of expected and desired aspects may lead to reputational risks in the long run. (shrink)

Islamic Financial Institutions have recently witnessed remarkable growth driven by their holistic business model. The key differentiator of IFIs is their Shari’a-based business proposition which often requires some financial sacrifices, e.g. being ethical, responsible and philanthropic. It also requires them to refrain from investments in tobacco, alcohol, pornography or earning interest. For IFIs’ sponsors and managers, however, the key motivational factor for entering the Islamic financial market is not the achievement of Shari’a objectives through the holistic business model, but rather (...) the urge to tap this highly profitable market where customers are inclined to pay a premium for Shari’a compliance. In order for IFIs to be accepted by the market, their financial instruments need to be approved by Shari’a scholars, known for their integrity and expertise in Shari’a. One can therefore expect potential tensions between IFIs’ managers and Shari’a scholars. The purpose of this research is to probe the hidden struggle between managers and Shari’a scholars in pursuit of their respective objectives. The study investigates this phenomenon using grounded theory as a methodological framework based on data collected from three IFIs from two countries. The findings reveal that Shari’a scholars and managers of IFIs have divergent objectives, which creates incongruence of objectives at the strategic level. The findings illustrate the tension and latent struggle for Shari’a compliance, which has been termed as ‘Fatwa Repositioning’ resulting in four possible consequences: deep, reasonable, minimum and superficial Shari’a compliance. Fatwa Repositioning is the core category of this study, which exhibits how managers and Shari’a scholars struggle to position the Shari’a compliance of their institutions so as to best serve their respective objectives. Interestingly, Shari’a scholars are seemingly not always in control of what they are supposed to be controlling, i.e. Shari’a compliance. (shrink)

In this paper, I investigate social cognition and its relation to interaction in autism from the perspective of a pluralist account of social understanding by considering behavioral as well as neuroscientific findings. Traditionally, researchers have focused on mental state reasoning in autism, which is uncontroversially impaired. A pluralist account of social cognition aims to explore the varieties of social understanding that are acquired throughout ontogeny and may play a role in everyday life. The analysis shows that children with autism are (...) well able to understand other people’s behavior by considering social rules and norms, scripts, and stereotypes. Moreover, some individuals with autism succeed in understanding other people’s behavior in terms of mental states by employing explicit behavioral rules as a compensatory strategy. The paper ends with a discussion of the social cognitive functions in autism and their relation to the motivation of individuals with autism to engage in social interaction. (shrink)

Unfortunately there is a typo in section 2.3.1, paragraph 7 “Referring to recent findings from verbal versions of the true belief task that suggest that 4- to 5-year-old children pass such tasks not via belief reasoning but simpler heuristics that draw on perceptual access, Fiebich argues that 4- to 5-year-olds are still engaged in cognitively demanding belief reasoning when passing verbal versions of the false belief task.”.

Efficient identification of influential nodes is one of the essential aspects in the field of complex networks, which has excellent theoretical and practical significance in the real world. A valuable number of approaches have been developed and deployed in these areas where just a few have used centrality measures along with their concerning deficiencies and limitations in their studies. Therefore, to resolve these challenging issues, we propose a novel effective distance-based centrality algorithm for the identification of influential nodes in concerning (...) networks. EDBC algorithm comprises factors such as the power of K-shell, degree nodes, effective distance, and numerous levels of neighbor’s influence or neighborhood potential. The performance of the proposed algorithm is evaluated on nine real-world networks, where a susceptible infected recovered epidemic model is employed to examine the spreading dynamics of each node. Simulation results demonstrate that the proposed algorithm outperforms the existing techniques such as eigenvector, betweenness, closeness centralities, hyperlink-induced topic search, H-index, K-shell, page rank, profit leader, and gravity over a valuable margin. (shrink)

The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron, recurrent neural network, and autoregressive integrated moving average on historical data. Moreover, we compared the extrapolative abilities of a hybrid of ARIMA with MLP and RNN models, which are called ARIMA-MLP and ARIMA-RNN. Because of the complicated and noisy nature of financial data, we combine novel machine-learning techniques such as MLP and RNN with ARIMA model to predict the three stock (...) market data. The data used in this study are taken from the Pakistan Stock Exchange, National Stock Exchange India, and Sri Lanka Stock Exchange. In the case of Pakistan, the findings show that the ARIMA-MLP and ARIMA-RNN beat the individual ARIMA, MLP, and RNN models in terms of accuracy. Similarly, in the case of Sri Lanka and India, the hybrid models show more robustness in terms of forecasting than individual ARIMA, MLP, and RNN models based on root-mean-square error and mean absolute error. Apart from this, ARIMA-MLP outperformed the ARIMA-RNN in the case of Pakistan and India, while in the context of Sri Lanka, ARIMA-RNN beat the ARIMA-MLP in forecasting. Our findings reveal that the hybrid models can be regarded as a suitable option for financial time-series forecasting. (shrink)

The use of slang, abusive, and offensive language has become common practice on social media. Even though social media companies have censorship polices for slang, abusive, vulgar, and offensive language, due to limited resources and research in the automatic detection of abusive language mechanisms other than English, this condemnable act is still practiced. This study proposes USAD, a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets. Furthermore, due to the nonavailability of the standard dataset, we (...) also design and annotate a dataset of abusive, offensive, and slang word Perso-Arabic-scripted Urdu as our second significant contribution for future research. The results show that our proposed USAD model can identify 72.6% correctly as abusive or nonabusive Tweet. Additionally, we have also identified some key factors that can help the researchers improve their abusive language detection models. (shrink)

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)

Although company narratives frequently emphasize impressive sales numbers and market leadership, such an organizational “top dog” narrative can backfire when companies are accused of engaging in unethical conduct. This research demonstrates, through a series of nine (_N_ = 3872) experimental studies, that an organizational top dog (vs. underdog) narrative increases the intended punishment of company moral transgressions but not non-moral transgressions. Such differences in intended punishment emerge because observers infer that organizations with a top dog narrative use predominantly dominance-based strategies (...) to achieve their status, whereas companies with an underdog narrative are less likely perceived as employing such strategies. We provide preliminary evidence that a debiasing intervention decreases the harsher punishment of organizations with a top dog narrative but does not affect the punishment of organizations with an underdog narrative. (shrink)

There are two types of stock price manipulation examined in the theoretical literature: insider trading, which involves private information that is true and the public spreading of fraudulent false information. While there is a large empirical literature on insider trading, this is the first empirical article to examine the impact of false, fraudulent public information on stock prices and trading volume. We find that such false information, even after being denied by a credible source such as the SEC, generates both (...) abnormal returns and abnormal trading volume. We also find that the effects of the false information on security returns and volume can be persistent for at least 2 weeks. In addition, we show that perpetrators of false news attacks can make potentially large profits from such market manipulations. (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)

The purpose of this article is to look at how migration and culture interact to shape the migration landscape in Southeast Asian countries. Within the scope of migration study, there has been a lack of attention paid to the importance of culture. Scholars may have lost sight of the importance of culture due to a sustained and continuous concentration on socioeconomic concerns. The research claims that one of the aspects that influences migration decision-making is culture. To back up our claim, (...) we performed qualitative research in Malaysia, Thailand, and Brunei. Through the lens of acculturation, enculturation, and deculturation, the study highlights a vital problem of whether migration influences culture or the other way around or whether migration itself becomes a part of a culture. (shrink)

The number of comments/reviews for movies is enormous and cannot be processed manually. Therefore, machine learning techniques are used to efficiently process the user’s opinion. This research work proposes a deep neural network with seven layers for movie reviews’ sentiment analysis. The model consists of an input layer called the embedding layer, which represents the dataset as a sequence of numbers called vectors, and two consecutive layers of 1D-CNN for extracting features. A global max-pooling layer is used to reduce dimensions. (...) A dense layer for classification and a dropout layer are also used to reduce overfitting and improve generalization error in the neural network. A fully connected layer is the last layer to predict between two classes. Two movie review datasets are used and widely accepted by the research community. The first dataset contains 25,000 samples, half positive and half negative, whereas the second dataset contains 50,000 specimens of movie reviews. Our neural network model performs sentiment classification among positive and negative movie reviews called binary classification. The model achieves 92% accuracy on both datasets, which is more efficient than traditional machine learning models. (shrink)

With the advancement of scientific collaboration in the 20th century, researchers started collaborating in many research areas. Researchers and scientists no longer remain solitary individuals; instead, they collaborate to advance fundamental understandings of research topics. Various bibliometric methods are used to quantify the scientific collaboration among researchers and scientific communities. Among these different bibliometric methods, the co-authorship method is one of the most verifiable methods to quantify or analyze scientific collaboration. In this research, the initial study has been conducted to (...) analyze interdisciplinary research activities in the computer science domain. The ACM has classified the computer science fields. We selected the Journal of Universal Computer Science for experimentation purposes. The J.UCS is the first Journal of Computer Science that addresses a complete ACM topic. Using J.UCS data, the co-authorship network of the researcher up to the 2nd level was developed. Then the co-authorship network was analyzed to find interdisciplinary among scientific communities. Additionally, the results are also visualized to comprehend the interdisciplinary among the ACM categories. A whole working web-based system has been developed, and a forced directed graph technique has been implemented to understand IDR trends in ACM categories. Finally, the IDR values between the categories are computed to quantify the collaboration trends among the ACM categories. It was found that “Artificial Intelligence” and “Information Storage and Retrieval”, “Natural Language Processing and Information Storage and Retrieval”, and “Human-Computer Interface” and “Database Applications” were found the most overlapping areas by acquiring an IDR score of 0.879, 0.711, and 0.663, respectively. (shrink)

Based on the Lotka–Volterra system, a pest-natural enemy model with nonlinear feedback control as well as nonlinear action threshold is introduced. The model characterizes the implementation of comprehensive prevention and control measures when the pest density reaches the nonlinear action threshold level depending on the pest density and its change rate. The mortality rate of the pest is a saturation function that strictly depends on their density while the release of natural enemies is also a nonlinear pulse term depending on (...) the density of real-time natural enemies. The exact impulsive and phase sets are given. The definition and properties of the Poincaré map corresponding to the pulse points on the phase set are provided. We investigate the existence and stability of boundary and interior order-1 periodic solution. The theoretical analysis developed in the present paper combined with nonlinear controlling measures as well as nonlinear action threshold methods and techniques laid the foundation for the establishment and analysis of other state-dependent feedback control models. (shrink)

The adoption of mobile payment and mobile banking is low in several countries, despite its associated benefits. The present study examines the impact of Pakistani consumers’ financial skills and digital literacy on their intention to adopt m-payment/m-banking using the Technology Acceptance Model. The data were collected from 454 individual smartphone users residing in Punjab province via an online and offline questionnaire survey. Structural equation modeling was used to analyze the consumers’ data. The results endorse that their financial skills have no (...) association with intention to adopt but through perceived usefulness; their digital literacy bridges a strong association with intention and through perceived ease of use. Furthermore, this study discusses the theoretical and practical implications of the findings, as well as limitations and future directions. (shrink)

Academic frauds, dishonesty and cheating are pervasive in Pakistan, but thus far less systematic research has been undertaken on the effectiveness of the policies designed for countering academic dishonesty. Generally, the success of a policy depends on a good design and appropriate implementation. The design aspect of the policies to counter academic dishonesty in Pakistan is studied elsewhere, the purpose of this article is to empirically examine the implementation stages of the same policies. In doing so, the study utilizes a (...) panel data set comprising of 60 cross-sections and 06 time series observations (2012–2017). Results of the rigorous panel regression models shows that leniency in the prescribed punishments and an exhaustive belief on the efficacy of traditional examination surveillance methods are counterproductive. The study however failed to substantiate the direct relationship of discrimination and academic dishonesty in the sample. It is therefore concluded that prescribed punishments must be awarded in letter and spirit and that there is need for coordination at different stages of the implementation. Further, the study also recommends that traditional forms of examination surveillance must be augmented using modern technology. (shrink)

According to the United Nations, the Rohingya people are the most persecuted minority group in the world. The atrocities perpetrated by Myanmar authorities could by any reckoning be called ethnic cleansing. This paper delves into the level of discrimination against the Rohingya population perpetrated by Myanmar authorities in myriad of ways. A team of researchers interviewed 37 victims. The pattern of persecution goes back to 1948 – the year when the country achieved independence from their British colonizers. Today, this population (...) group is the single largest “stateless” community after Palestinians in the world. Their “statelessness” or lack of citizenship increases their vulnerability owing to the lack of entitlements to any legal protection from the government. Without citizenship, they are deprived of basic rights such as access to health services, education and employment. The illiteracy rate among the Rohingya, for example, is a staggering 80 percent. However, so far, no unified responses either from the ASEAN or the EU were provided to the crisis. As a result, the level of discrimination against and brutality towards them kept escalating. (shrink)