Originally premiering in 1963, the BBC television series Doctor Who has long been criticized for essentializing colonial scenarios and failing to address issues of race and post-colonial realities. As a white male with the privilege to explore time and space, the titular Doctor stands in contrast to his human companion Martha Jones, a Black woman who represents the first and only main character in the show to be a medical professional of color. The relationship between the Doctor and Martha inherently (...) demands an exploration of the meaning of doctorhood. In studying the ways in which these characters embody the idea of “doctor,” we examine how race structures their approach to medicine, heroism, and colonialism. Whereas the Doctor personifies the figure of colonizer and post-colonial white savior, Martha emerges as a radical figure whose doctorhood potentially challenges and dismantles the colonial history of medicine. Through Afrofuturist and Afrosurrealist lenses, Martha represents a potentially subversive figure who offers a visionary medicine rooted in social justice. (shrink)

Minimal theory of mind is presented in the theory of mind literature as a middle ground between full-blown ToM and mere behavior-reading. Minimal ToM seems to be a useful construct for studying and understanding the minds of nonhuman animals and infants. However, providing an account of minimal ToM on which minimal mindreading is significantly less demanding than full-blown mindreading yet more than just a behavior-reading process is a challenge. In this paper, I argue that to address this challenge, we need (...) to depart from the traditional framework of mindreading in more radical ways than offered by current minimal theory of mind accounts. First, I explain the traditional view of mindreading on which mental state attribution is treated as essential for mindreading and analyze the general respects in which it makes mindreading demanding for the mindreader, such as requiring the mindreader to have concepts of mental states, engage in inferential reasoning processes involving mental states, and form meta-representations. Then I discuss and critically evaluate two accounts of minimal ToM and argue that these accounts either do not depart sufficiently from the demanding requirements of traditional mindreading or risk becoming re-descriptions of behavior-reading accounts. Finally, I present an alternative Millikanian account of minimal ToM that avoids this risk while departing more radically from the traditional view of mindreading by providing a way for minimal mindreaders to represent the mental states of others and respond to them without engaging in conceptual mental state attribution. (shrink)

Political philosophers often draw their conclusions on how political systems ought to be by first investigating human nature and then proposing recommendations extrapolating from those investigations. They attempt to do this by creating a hypothetical ‘state of nature’ where human beings would be unaffected by social, political, and cultural paradigms and can act freely in pursuit of their instincts, thereby revealing their true nature. English philosopher Thomas Hobbes followed this method of investigation and found that human beings are naturally violent, (...) individualistic, warlike and therefore concluded that political theory ought to be as such to prevent human beings from acting out their baser impulses through draconian authoritative measures when necessary. In this paper, I challenge Hobbes’s claim on human nature by citing contemporary research on cognitive sciences which demonstrates that human beings have a natural predisposition to believe in supernatural agency (God/s) and therefore in the state of nature must behave in such a way as contemporary psychologists discovered investigating the effect of religiosity on human beings such as increased cooperation, selfless behavior towards genetically unrelated strangers, reduced crime rate deterred by supernatural punishment, etcetera. I argue that if we take into account the human propensity to believe in the supernatural agency then the state of nature hypothesized by Hobbes would need to be modified and therefore so would his political theory. Given the integration of cognitive science of religion into the state of nature, I conclude that the ideal political system must be centered around religion. Philosophy and Progress, Vol#67-68; No#1-2; Jan-Dec 2020 P 77-118. (shrink)

The article offers a panoramic view of the tropes of “space” and “place” in the poetry of Avot Yeshurun, and explores the radical transformation they underwent throughout the years – from the early poems of the 1930s, to the last volume of poems published before the poet’s death in 1992. I contend that the shift in the nature of the Yeshurunian space, caused by the catastrophe of the Shoah, the foundation of the State of Israel, and the Palestinian Nakba that (...) proceeded it, can be viewed through the prism of what I call “the problem of transference”. Struggling to re-connect the now insurmountably severed worlds – the pre-catastrophe world of the golah, and the new, post-catastrophe, Israeli world – Yeshurun’s poetry exhibits an ever-growing tendency to transfer language-materials from one side of the abyss to the other, desperately attempting to both salvage the remains of the ruined home, and establish the new world as a proper dwelling place. This back-and-forth movement of traumatic transference, I argue, is a powerful interpretive tool by which to understand the poet’s entire poetic project and to account for its peculiarities, and above all - its famous “clash of languages” which consists of Hebrew, Yiddish, and Arabic. (shrink)

This manuscript investigates fixed point of single-valued Hardy-Roger’s type F -contraction globally as well as locally in a convex b -metric space. The paper, using generalized Mann’s iteration, iterates fixed point of the abovementioned contraction; however, the third axiom of the F -contraction is removed, and thus the mapping F is relaxed. An important approach used in the article is, though a subset closed ball of a complete convex b -metric space is not necessarily complete, the convergence of the Cauchy (...) sequence is confirmed in the subset closed ball. The results further lead us to some important corollaries, and examples are produced in support of our main theorems. The paper most importantly presents application of our results in finding solution to the integral equations. (shrink)

We may sharpen our understanding of legislation by juxtaposing it with other types of legal act. John Gardner attempts to differentiate legislation from legal rulings – an unusual juxtaposition in itself – and his claims about the difference are surprising. Legal rulings are legally binding pronouncements issued by judges – eg ‘A owes B $50 in compensation’. The article queries the analysis advanced by Gardner and endorsed by other accounts. It instead offers an alternative distinction, and in so doing seeks (...) to clarify what legislation is by what it is not. (shrink)

This article describes the potential impact that free (i.e., open source) software can have on an existing commercial software market. A model for the software market is constructed in terms of autonomous agents, which represent the users, the companies, and the free software providers. The model specifies a reservation price for each user agent and develops a gradient learning strategy for revenue-maximizing company agents. Simulations explore parameters such as the demand distribution, and the relative importance of market share, advertising and (...) random effects in product visibility. Results from the case without free software show a prevalence of monopolies, which is consistent with other studies of high-technology market economics. The effects of free software are not uniform, but are highly parameter dependent. A “capture region” is found in which free software eventually dominates the market. (shrink)

Context. Social media platforms such as Facebook and Twitter carry a big load of people’s opinions about politics and leaders, which makes them a good source of information for researchers to exploit different tasks that include election predictions. Objective. Identify, categorize, and present a comprehensive overview of the approaches, techniques, and tools used in election predictions on Twitter. Method. Conducted a systematic mapping study on election predictions on Twitter and provided empirical evidence for the work published between January 2010 and (...) January 2021. Results. This research identified 787 studies related to election predictions on Twitter. 98 primary studies were selected after defining and implementing several inclusion/exclusion criteria. The results show that most of the studies implemented sentiment analysis followed by volume-based and social network analysis approaches. The majority of the studies employed supervised learning techniques, subsequently, lexicon-based approach SA, volume-based, and unsupervised learning. Besides this, 18 types of dictionaries were identified. Elections of 28 countries were analyzed, mainly USA and Indian elections. Furthermore, the results revealed that 50% of the primary studies used English tweets. The demographic data showed that academic organizations and conference venues are the most active. Conclusion. The evolution of the work published in the past 11 years shows that most of the studies employed SA. The implementation of SNA techniques is lower as compared to SA. Appropriate political labelled datasets are not available, especially in languages other than English. Deep learning needs to be employed in this domain to get better predictions. (shrink)

Optimization by definition is the action of making most effective or the best use of a resource or situation and that is required almost in every field of engineering. In this work, the optimization of Least Mean square (LMS) algorithm is carried out with the help of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Efforts have been made to find out the advantages and disadvantages of combining gradient based (LMS) algorithm with Swarm Intelligence SI (ACO, PSO). This optimization (...) of LMS algorithm will help us in further extending the uses of adaptive filtering to the system having multi-model error surface that is still a gray area of adaptive filtering. Because the available version of LMS algorithm that plays an important role in adaptive filtering is a gradient based algorithm, that get stuck at the local minima of system with multi-model error surface considering it global minima, resulting in an non-optimized convergence. By virtue of the proposed method we have got a profound solution for the problem associated with system with multimodal error surface. The results depict significant improvements in the performance and displayed fast convergence rate, rather stucking at local minima. Both the SI techniques displayed their own advantage and can be separately combined with LMS algorithm for adaptive filtering. This optimization of LMS algorithm will further help to resolve serious interference and noise issues and holds a very important application in the field of biomedical science. (shrink)

There is evidence of reciprocal connectivity, similarity of oscillatory responses to stimulation of multiple motor and somatosensory cortices, whole system oscillation, and short- latency responses to behavioral perturbation. These suggest that frame/content may be instantiated by overlapping neural populations, and that the genesis of frame oscillations may be profitably thought of as an emergent property of a distributed neural system.

Identifying the writer of a handwritten document has remained an interesting pattern classification problem for document examiners, forensic experts, and paleographers. While mature identification systems have been developed for handwriting in contemporary documents, the problem remains challenging from the viewpoint of historical manuscripts. Design and development of expert systems that can identify the writer of a questioned manuscript or retrieve samples belonging to a given writer can greatly help the paleographers in their practices. In this context, the current study exploits (...) the textural information in handwriting to characterize writer from historical documents. More specifically, we employ oBIF(oriented Basic Image Features) and hinge features and introduce a novel moment-based matching method to compare the feature vectors extracted from writing samples. Classification is based on minimization of a similarity criterion using the proposed moment distance. A comprehensive series of experiments using the International Conference on Document Analysis and Recognition 2017 historical writer identification dataset reported promising results and validated the ideas put forward in this study. (shrink)

Built on the integrated theoretical framework of antecedents of flow and expectation confirmation model, this research investigates the way flow experience drives the online students’ intention to engage in online English teaching platforms. This study focused on the online students engaged in online English learning platforms in Taiwan. A total of 500 online students were selected. An online survey was conducted with the help of a marketing research agency located in Taiwan. According to the results, the online students’ flow experience (...) was found to be in a significant relationship with continuous intention. The antecedents, including perceived enjoyment, challenge, and situational involvement, were found to be in a positive relationship with flow experience; however, confirmation and perceived vividness did not have significant effects on the flow. Furthermore, flow and confirmation were found to be in a significant relationship with perceived usefulness and satisfaction. Moreover, perceived usefulness was found to be in a significant relationship with satisfaction and continuous intention. Lastly, satisfaction was found to be in a significant relationship with continuous intention. Finally, the questions proposed in this research with their empirical findings offer profound understanding for establishing a well-devised online English learning platform that can motivate online learning. These results and managerial implications for online English language platforms are innovative and significant in practice. (shrink)

The 2019 Pandemic has forced students to take online classes, increasing their stress levels and negatively impacting their academic performance. This issue urges the development of a mechanism to make online learning more effective in this nerve-racking time. Therefore, the present study has integrated the task technology fit model and the DeLone and McLean Model of Information Systems Success to address the stated issue. The data were collected from 330 and 326 students of top-ranked public and private universities of Punjab, (...) respectively. The theoretical framework was analyzed with the help of structural equation modeling using Analysis of Moment Structures. The findings indicate that overall quality positively predicts performance through the mediating role of user satisfaction and TTF. The overall quality also positively elevates performance through the mediating role of user satisfaction and actual usage of the system. Moreover, perceived usefulness proved to be a moderator between overall quality and user satisfaction. Finally, the expected practical and theoretical implications have also been discussed. (shrink)

Social media marketing has become one of the most significant growth paths for many businesses in today’s world. However, many companies are still unclear about using social media marketing to get their advantages, particularly in an e-commerce environment. In this background, this study is proposed to examine the effects of social media marketing activities on relationship quality, such as commitment, trust, and satisfaction in order to predict consumers’ online repurchase intentions in China’s e-commerce environment. This study proposed a theoretical model (...) by using the stimulus-organism-response theory. Using a structured questionnaire and purposive sampling, this study examined the responses of 403 consumers through partial least square-structural equation modeling. The findings discovered that SMMAs significantly strengthen the relationship quality factors, such as commitment, trust, and satisfaction, which in turn positively increase consumer online repurchase intentions in China’s e-commerce industry. This is novel research that contributes to the S-O-R theory and provides several managerial guidelines that assist managers in improving their business performance in the e-commerce industry. This research also highlighted some limitations. (shrink)

The purpose of this study is to understand the drivers of social responsibility in purchasing (PSR). This study replicated and extended the range of empirical application of the model developed by Carter and Jennings {Journal of Business Logistics 25(1), 145-186, 2004). Consequently, the present study contributes to the nomological validity of concept of PSR or Purchasing Social Responsibility. The method used is derived from the previous study by Carter and Jennings (Journal of Business Logistics 25(1), 145-186, 2004), and the present (...) study extends the application of that method to an Asian environment. The data were obtained from 197 respondents in Thailand. This sample was largely composed of purchasing and supply chain managers. Respondents were asked to indicate how different dimensions of corporate social responsibility (CSR) affect PSR. The findings of the present study suggest that all the six hypothesized paths have been substantiated. Individual values and people-oriented organizational culture are the most powerful predictors of PSR. This article contributes towards filling the gap in understanding the determinants of PSR in managing supply chains, particularly in an Asian context. (shrink)

This study develops a conceptual framework and investigates green human resource practices —green recruitment and selection, green training and development, and green reward and compensation? effects on pro-environmental psychological climate and pro-environmental behavior, which cause green corporate social responsibility. We employ information technology capabilities as a moderator between the GHRM and pro-environmental behavior. It applies a convenience sampling technique and survey questionnaire to collect data from 388 employees at CPEC projects. Results demonstrate that GHRM positively influences pro-environmental psychological climate and (...) pro-environmental behavior that significantly develops GCSR. IT capabilities significantly moderate the relationships between GHRM and pro-environmental behavior. The study findings add to the body of green HRM practices, strategic management, and information processing and policy makers better postulate, align, and exercise their green HRM practices for its synergetic effects for green CSR and sustainability. We also acknowledge some limitations and provide future directions. (shrink)

This article revisits the figure of the ‘third world sweatshop worker’, long iconic of the excesses of the global expansion of flexible accumulation in late twentieth-century capitalism. I am interested in how feminist activists concerned with the uneven impact of neo-liberal policies can engage in progressive political interventions without participating in the ‘culture of global moralism’ that continues to surround conventional representations of third world workers. I situate my analysis in the national space of Bangladesh, where the economy is heavily (...) dependent on the labour of women factory workers in the garment industry and where local feminist understandings of the ‘sweatshop economy’ have not always converged with global feminist/left concerns about the exploitation inherent in the (now not so new) New International Division of Labor. The tensions or disjunctures between ‘global’ and ‘local’ feminist viewpoints animate the concerns of this article. I argue that de-contextualized critiques derived from abstract notions of individual rights, and corresponding calls for change from above — calls on the conscience of the feminist and the consumer, for instance — can entail troubling analytical simplifications. They highlight some relations of power while erasing others, thereby enacting a different kind of violence and at times undermining mobilizations on the ground. I draw attention to the multiple fields of power through which much of the activism across borders continues to be produced and reproduced discursively. This kind of framing fits all too easily into existing cultural scripts about gender and race elsewhere, and produces ethical obligations to ‘save’ women workers. (shrink)

Efforts to build research capacity and capability in low and middle income countries (LMIC) has progressed over the last three decades, yet it confronts many challenges including issues with communicating or even negotiating across different cultures. Implementing global research requires a broader understanding of community engagement and participatory research approaches. There is a considerable amount of guidance available on community engagement in clinical trials, especially for studies for HIV/aids, even culturally specific codes for recruiting vulnerable populations such as the San (...) or Maori people. However, the same cannot be said for implementing research in global health. In an effort to build on this work, the Pakistan Institute of Living and Learning and University College London in the UK sought to better understand differences in beliefs, values and norms of local communities in Pakistan. In particular, they have sought to help researchers from high income countries (HIC) understand how their values are perceived and understood by the local indigenous researchers in Pakistan. To achieve this end, a group discussion was organised with indigenous researchers at Pakistan Institute of Living and Learning. The discussion will ultimately help inform the development of a cultural protocol for researchers from HIC engaging with communities in LMIC. This discussion revealed five common themes; (1) religious principles and rules, (2) differing concepts of and moral emphasis on autonomy and privacy, (3) importance of respect and trust; (4) cultural differences (etiquette); (5) custom and tradition (gift giving and hospitality). Based on the above themes, we present a preliminary cultural analysis to raise awareness and to prepare researchers from HIC conducting cross cultural research in Pakistan. This is likely to be particularly relevant in collectivistic cultures where social interconnectedness, family and community is valued above individual autonomy and the self is not considered central to moral thinking. In certain cultures, HIC ideas of individual autonomy, the notion of informed consent may be regarded as a collective family decision. In addition, there may still be acceptance of traditional professional roles such as ‘doctor knows best’, while respect and privacy may have very different meanings. (shrink)