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)

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)

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)

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)

A controversial hypothesis in RNA biology is that extracellular microRNAs (miRNAs), including those in biofluids, have non‐cell‐autonomous activities. Several studies have characterized biofluid miRNA profiles in healthy or diseased individuals but generally have failed to identify distinct disease signatures. It remains unclear whether alterations in fluid miRNA levels are simply indicators of physiological change or whether miRNAs are taken up by new cells at concentrations sufficient to affect gene expression. There are limitations to biofluid miRNA studies performed to date: methodology (...) for isolating and quantifying biofluid miRNAs is not standardized across studies; mechanistic details of miRNA release and uptake are incomplete; and efforts to assess non‐cell‐autonomous effects of extracellular miRNAs have employed predominantly in vitro strategies. We describe controversies and questions that need to be addressed to test possible in vivo roles of extracellular miRNAs and propose model organisms with rich genetic toolkits for carrying out in vivo functional analyses. (shrink)

Purpose The Hon’ble Supreme Court of India, in a landmark judgment, scrapped a draconian law [Section 66 ] that gave the police absolute power to put behind bars anybody who was found posting offensive or annoying comments online. This paper aims to examine the take of people on the “Free Speech via Social Media” issue and their attitude towards the way sensitive messages/information are posted, shared and forwarded on social media, especially, Facebook. Design/methodology/approach The research was carried out on a (...) sample of 200 social media users, all picked up randomly, from five Indian states/Union Territories. Data were collected through a questionnaire, and users were contacted through e-mail. Data collected were analyzed through the Kolmogorov–Smirnov Z test. Findings The findings indicate that hate posts/messages are on the rise, and more and more users are joining in. Besides, prosecution happens only when the aggrieved party is influential or powerful. Practical implications The findings of this research give a strong insight into the social media behaviour of users in relation to hate contents/posts. The study establishes the fact that Indian people are in favour of free speech, but with a sense of restraint and responsibility. The work could form the basis for future research on various aspects of hate speech on social media. Researchers could study the trials and prosecutions that have happened over the past few years and whether punishment has acted as a deterrent. Originality/value The research is likely to be important for those involved in work on freedom of speech or hate speech through social media. Social networking sites such as Facebook would also get some insights into users’ perception towards free and hate speech mechanism on social media. (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)

In lieu of an abstract, here is a brief excerpt of the content:Art in Social Studies: Exploring the World and Ourselves with RembrandtIftikhar Ahmad (bio)IntroductionRembrandt’s art lends itself as a fertile resource for teaching and learning social studies. His art not only captures the social studies themes relevant to the Dutch Golden Age, but it also offers a description of human relations transcending temporal and spatial frontiers. Rembrandt is an imaginative storyteller with a keen insight for minute details. His narrative (...) of the culture, society, economy, geography, and contemporary events of seventeenth-century Dutch life is as vivid and perceptive as a historian’s eloquent text. How people lived in community, how the city of Amsterdam functioned, how important religion was to people, how diverse and cosmopolitan the culture was, how interdependent the world was in the seventeenth century, and what the social and civic ideals of the Dutch people were during the Golden Age—Rembrandt’s paintings, etchings, and drawings neatly organize these and other social studies themes into visual messages. More importantly, our appreciation and interpretation of Rembrandt’s work helps us learn about not just Dutch society and culture of four hundred years ago but also about ourselves. The passion, emotions, conflicts, and inspirations of his subjects are essentially human and eternal, arousing empathy in every generation and cross-section of society. In this article I look at Rembrandt’s art for the purpose of teaching and learning social studies in our contemporary interdependent world—a world that is chronologically and geographically distant from the Dutch Golden Age but in many respects shares its enduring values, norms, ideals, pursuits, challenges, and possibilities. To do so, I employ a conceptual lens—the curriculum thematic strands of the National Council for the Social Studies (NCSS)—to examine Rembrandt’s art in order to explore life and make meaning of the story that is being told about the human condition, and to seek out its relevance to ourselves and [End Page 19] our world in the early twenty-first century. Although Rembrandt’s oeuvre is extensive, including the diverse genres of self-portraits, group portraits, drawings, etchings, landscapes, and religious themes, for our limited purpose I have selected only those works that, in my judgment, correspond with the following seven of the ten thematic curriculum strands of the NCSS:CultureTime, Continuity, and ChangePeople, Places, and EnvironmentIndividual Development and IdentityProduction, Distribution, and ConsumptionGlobal ConnectionsCivic Ideals and PracticesThese thematic curriculum strands are derived from the foundational disciplines of the social sciences and humanities such as anthropology, history, geography, sociology, political science, psychology, economics, philosophy, and law, but they are conceptually interrelated.1 For example, culture is a core concept in anthropology but it is also relevant to Time, Continuity, and Change, which is the main concept in the history discipline. Similarly, culture is relevant to the theme of People, Places, and Environment, which is the central focus of geography. More importantly, since social studies is about human experiences, there is a general consensus among the social studies educators that classroom teachers should draw content knowledge not just from the social sciences as mentioned here but from wide sources “to construct curricular experiences enabling students to actively relate new knowledge to existing understanding.”2 That is to say all fields of knowledge that are related to human civilization and that help in developing students’ skills in reflective thinking, decision making, and problem solving are relevant to social studies education. Those fields also include art. Rembrandt’s art is especially relevant because his themes are universal and the social, political, and economic contexts in which he created his work—globalization, individualism, and free enterprise—are more or less similar to our age.It needs to be mentioned that by looking at Rembrandt’s art from the social studies perspective it is not my intention to strip his work of its aesthetic scope and value. On the contrary, by looking at Rembrandt in the social studies classroom I seek to humanize social studies education itself. That [End Page 20] is to say I wish to step back from the conventional view of social studies to feel free from the bonds of traditionalism and discover, describe, analyze... (shrink)

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

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)

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.

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 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)

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)

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)

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)

The purpose of this study is to examine the impact of two comparative leadership styles on organizational performance outcomes. The leadership styles undertaken is transformational and servant leadership. A sample of 155 participants is taken from profit-oriented service sector of Pakistan. Data through survey gathered on a five point likert scale from organizations. AMOS and SPSS are used for statistical analysis. The result shows that, transformational leadership has more impact on organizational learning than servant leadership. Furthermore organizational learning enhances organizational (...) performance. Managers and leaders of corporate sector can get benefited from this study. Their main objective is to maximize the profitability of organization thus, they can choose leadership style which polishes their abilities and helps them to achieve profit maximization. (shrink)

Name der Zeitschrift: Der Islam Jahrgang: 93 Heft: 1 Seiten: 236-242.

: Regionalism is a key element in narratives pertaining to the rise of the formal Muslim law schools. It is generally believed that these legal schools were influenced by the customary practices of the prominent urban centers of the early 2nd/8th century. Such assumptions are rooted in the Muslim legal works themselves, which distinguish between the legal views of important regional centers. This article tests the purported regional associations of individual law schools by utilizing traditions pertaining to ritual law to (...) reconstruct the dominant practice of major Muslim cities of the early 2nd/8th century. In the process, it models a method for deriving historical information from newly datable legal source material. (shrink)

Plastic consumption is an important aspect of contemporary living, and studies that systematically examine consumers’ plastic waste recycling intentions from an ethical perspective are scarce. Considering the severity of plastic waste recycling problems globally based on the stimulus-organism-response paradigm, this study analyses how the information publicity influences consumers’ plastic waste recycling intentions from an ethical perspective in an emerging market economy. We investigate this link by focusing on the indirect effect of perceived social pressure and the moderating role of media (...) disposition (i.e., media richness and content trustworthiness). Data from a three-wave field survey of 469 household consumers from China showed that social pressure mediated the positive relationship between information publicity and ethical recycling intentions. Additionally, media richness and content trustworthiness moderate the link between information publicity and consumers’ perceptions of social pressure. These findings provide encouraging evidence for applying the SOR paradigm to explain the ethical recycling intention of consumers. The findings may assist policymakers in motivating consumers to think ethically about plastic waste recycling. (shrink)

The social brain hypothesis implies that humans and other primates evolved “modules“ for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary (...) signals. We found that learning of social signals was no better than learning of arbitrary signals. While coupling faces and voices led to parallel learning, the same was true for arbitrary shapes and sounds. However, coupling versus uncoupling social signals with arbitrary signals revealed that faces and voices are treated with perceptual priority. Overall, our data suggest that statistical learning is a viable domain-general mechanism for learning social group structure. Keywords: social brain; embodied cognition; distributed cognition; situated cognition; multisensory; audiovisual speech; crossmodal; multimodal. (shrink)

The social brain hypothesis implies that humans and other primates evolved “modules” for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary (...) signals. We found that learning of social signals was no better than learning of arbitrary signals. While coupling faces and voices led to parallel learning, the same was true for arbitrary shapes and sounds. However, coupling versus uncoupling social signals with arbitrary signals revealed that faces and voices are treated with perceptual priority. Overall, our data suggest that statistical learning is a viable domain-general mechanism for learning social group structure. Keywords: social brain; embodied cognition; distributed cognition; situated cognition; multisensory; audiovisual speech; crossmodal; multimodal. (shrink)

Impoliteness in student emails to faculty can have negative consequences. However, the nuances of perceived impoliteness by faculty with different language backgrounds have not been thoroughly studied in the literature. This paper explores how emails written by non-native English-speaking students are perceived impolite by faculty depending on social identity variables such as native speaker status, gender, and seniority. Participants read six emails and rated their perceptions of the emails on a questionnaire. The items on the questionnaire were about lack of (...) face enhancement, use of face threat, acknowledgment of imposition, and not giving a choice in complying with requests. Results suggest that in their perceptions of the lack of face enhancement, senior faculty seemed to be more tolerant than their junior counterparts. Further, non-native speakers of English were found to be more tolerant of the lack of acknowledgment of imposition. However, no significant association was observed between the social identity of the faculty and their perception of face threat nor between social identity and giving a choice in complying with requests. The paper has implications for raising the awareness of the faculty and students about their potential biases in academic correspondence. (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)

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)

This paper analyzes the impact of the COVID-19 pandemic on the mental health of the teachers, specifically the techno stress arising in them as a result of issues faced by them in the use of technology when they conduct the online academic activities. It aims to assess the major factors related to the online teaching that specifically adds to techno stress on the teachers during the COVID-19 outbreak. Finally, the study aims to provide suggestions to the policymakers and the management (...) of the universities so that the effect of the COVID-19's on teachers' mental health and the related techno stress can be reduced. This paper is a literature review of the articles on the notion of techno stress on teachers and their mental health by searching the related articles with these terminologies using the renowned search engines of Google Scholar and Web of Science. A combination of the terms such as Coronavirus, COVID-19, mental health, psychological distress, techno stress, and online teaching were used in the article search for the review. The literature has suggested that the COVID-19 outbreak has significantly affected the mental health of the employees in general and specifically, the teachers who are engaged in online academic activities and teaching in the universities. The paper has identified a few factors that are the cause of the techno stress and provides recommendations for the university management and the policy makers for minimizing their negative impact on the teachers, in terms of the techno stress and their mental health. Coronavirus is a new strain of the viruses that has badly engulfed the entire population of the world. It is even now badly rising and causing deaths while this article is in the writing phase. The article has addressed the mental health concerns of the university teachers as they are now working from home using ICT for delivering the lectures and conducting the online teaching and learning activities for the students at their universities. This is a matter of grave importance now and requires immediate attention. Hence, this article broadens the scope of the research on the corona virus and its impact on the university teachers. (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)

There is a growing demand for information and computational technology for surgeons help with surgical planning as well as prosthetics design. The two-dimensional images are registered to the three-dimensional (3D) model for high efficiency. To reconstruct the 3D model of knee joint including bone structure and main soft tissue structure, the evaluation and analysis of sports injury and rehabilitation treatment are detailed in this study. Mimics 10.0 was used to reconstruct the bone structure, ligament, and meniscus according to the pulse (...) diffusion-weighted imaging sequence (PDWI) and stir sequences of magnetic resonance imaging (MRI). Excluding congenital malformations and diseases of the skeletal muscle system, MRI scanning was performed on bilateral knee joints. Proton weighted sequence (PDWI sequence) and stir pulse sequence were selected for MRI. The models were imported into Geomagic Studio 11 software for refinement and modification, and 3D registration of bone structure and main soft tissue structure was performed to construct a digital model of knee joint bone structure and accessory cartilage and ligament structure. The 3D knee joint model including bone, meniscus, and collateral ligament was established. Reconstruction and image registration based on mimics and Geomagic Studio can build a 3D model of knee joint with satisfactory morphology, which can meet the requirements of teaching, motion simulation, and biomechanical analysis. (shrink)