Mutation and lateral transfer are two categories of processes generating genetic diversity in prokaryotic genomes. Their relative importance varies between lineages, yet both are complementary rather than independent, separable evolutionary forces. The replication process inevitably merges together their effects on the genome. We develop the concept of “open lineages” to characterize evolutionary lineages that over time accumulate more changes in their genomes by lateral transfer than by mutation. They contrast with “closed lineages,” in which most of the changes are caused (...) by mutation. Open and closed lineages are interspersed along the branches of any tree of prokaryotes. This patchy distribution conflicts with the basic assumptions of traditional phylogenetic approaches. As a result, a tree representation including both open and closed lineages is a misrepresentation. The evolution of all prokaryotic lineages cannot be studied under a single model unless new phylogenetic approaches that are more pluralistic about lineage evolution are designed. (shrink)

Thomas Kuhn had little to say about scientific change in biological science, and biologists are ambivalent about how applicable his framework is for their disciplines. We apply Kuhn’s account of paradigm change to evolutionary microbiology, where key Darwinian tenets are being challenged by two decades of findings from molecular phylogenetics. The chief culprit is lateral gene transfer, which undermines the role of vertical descent and the representation of evolutionary history as a tree of life. To assess Kuhn’s relevance to this (...) controversy, we add a social analysis of the scientists involved to the historical and philosophical debates. We conclude that while Kuhn’s account may capture aspects of the pattern of an episode of scientific change, he has little to say about how the process of generating new understandings is occurring in evolutionary microbiology. Once Kuhn’s application is limited to that of an initial investigative probe into how scientific problem-solving occurs, his disciplinary scope becomes broader. (shrink)

As the aim of the responsible robotics initiative is to ensure that responsible practices are inculcated within each stage of design, development and use, this impetus is undergirded by the alignment of ethical and legal considerations towards socially beneficial ends. While every effort should be expended to ensure that issues of responsibility are addressed at each stage of technological progression, irresponsibility is inherent within the nature of robotics technologies from a theoretical perspective that threatens to thwart the endeavour. This is (...) because the concept of responsibility, despite being treated as such, is not monolithic: rather this seemingly unified concept consists of converging and confluent concepts that shape the idea of what we colloquially call responsibility. From a different perspective, robotics will be simultaneously responsible and irresponsible depending on the particular concept of responsibility that is foregrounded: an observation that cuts against the grain of the drive towards responsible robotics. This problem is further compounded by responsible design and development as contrasted to responsible use. From a different perspective, the difficulty in defining the concept of responsibility in robotics is because human responsibility is the main frame of reference. Robotic systems are increasingly expected to achieve the human-level performance, including the capacities associated with responsibility and other criteria which are necessary to act responsibly. This subsists within a larger phenomenon where the difference between humans and non-humans, be it animals or artificial systems, appears to be increasingly blurred, thereby disrupting orthodox understandings of responsibility. This paper seeks to supplement the responsible robotics impulse by proposing a complementary set of human rights directed specifically against the harms arising from robotic and artificial intelligence technologies. The relationship between responsibilities of the agent and the rights of the patient suggest that a rights regime is the other side of responsibility coin. The major distinction of this approach is to invert the power relationship: while human agents are perceived to control robotic patients, the prospect for this to become reversed is beginning. As robotic technologies become ever more sophisticated, and even genuinely complex, asserting human rights directly against robotic harms become increasingly important. Such an approach includes not only developing human rights that ‘protect’ humans but also ‘strengthen’ people against the challenges introduced by robotics and AI [This distinction parallels Berlin’s negative and positive concepts of liberty ], by emphasising the social and reflective character of the notion of humanness as well as the difference between the human and nonhuman. This will allow using the human frame of reference as constitutive of, rather than only subject to, the robotic and AI technologies, where it is human and not technology characteristics that shape the human rights framework in the first place. (shrink)

On the concept of Avidyā in Indic philosophy.

Study on materialism in Indic philosophy.

Grief is a complex emotional experience or process, which is typically felt in response to the death of a loved one, most typically a family member, child, or partner. Yet the way in which grief manifests is much more complex than this. The things we grieve over are multiple and diverse. We may grieve for a former partner after the breakup of a relationship; parents sometimes report experiencing grief when their grown-up children leave the family home. We can also experience (...) grief for people we have never met. Indeed, it is not just persons that we may grieve for. People report feeling grief over the death of their pets, or about the destruction the natural environment. In all these cases one factor that seems to stand out is loss. Despite being about very different things, these various forms of grief all involve a loss of some sort. Yet there is a further aspect of grief, which, on the face of it, does not quite follow this pattern. Grief can also be experienced before a loss has occurred. Grief can be experienced while the person that one is grieving for is still living and before one has (fully) suffered the loss. This phenomenon is known as anticipatory grief. The experience of anticipatory grief is a complex phenomenon, which resists easy classification. Nonetheless, we suggest that mental time travel, our ability to mentally project ourselves into the personal past (episodic memory) and personal future (episodic prospection), is a key mechanism that underpins experiences of anticipatory grief. Anticipatory grief can still be understood in terms of loss, but it is a loss that is brought to mind through memory and imagination. (shrink)

We examine the link between a firm’s environmental and social disclosures and measures of its risk including total, systematic, and idiosyncratic risk. While we do not find any link between a firm’s E and S disclosures and its systematic risk, we find a negative and significant association between these disclosures and a firm’s total and idiosyncratic risk. These are novel findings and are consistent with the predictions of the stakeholder theory and the resource-based view of the firm suggesting that firms (...) which make extensive and objective E and S disclosures promote corporate transparency that can help them build a positive reputation and trust with their stakeholders. This in turn can help mitigate the firms' idiosyncratic/operational risk. These findings are important for all corporate stakeholders including managers, employees, and suppliers who have a significant economic interest in the survival and success of the firm. (shrink)

Background The ethical competence of head nurses plays a pivotal role in nursing ethics. Ethical climate is a prerequisite for ethical competence, and moral resilience can positively influence an individual’s ethical competence. However, few studies have focused on the relationship between ethical climate, moral resilience, and ethical competence among them. Objectives To investigate the relationship between ethical climate, moral resilience, and ethical competence, and examine the mediating role of moral resilience between ethical climate and ethical competence among head nurses. Design (...) A quantitative, cross-sectional study. Methods A total of 309 Chinese head nurses completed an online survey, including ethical climate questionnaire, Rushton moral resilience scale, and ethical competence questionnaire. Inferential statistical analysis includes Pearson’s correlation and a structural equation model. Ethical considerations This study received ethical approval from the Institutional Review Board of Xiangya Nursing School of Central South University (No. E2023146). Results Head nurses’ ethical climate score positively impacted ethical competence (r = 0.208, p <.001), and ethical climate could affect ethical competence through the mediating role of moral resilience. Conclusion This study emphasized the value of ethical climate in moral resilience of head nurses, ultimately leading to an enhancement in their ethical competence. (shrink)

In his featured article, Makins suggests that healthcare professionals ought to defer to patients’ higher-order attitudes towards their risk attitudes when making medical decisions under uncertainty.1 He contends that this deferential approach is consistent with widely held antipaternalistic views about medicine. While Makins offers novel, insightful and provocative perspectives, we illustrate in this commentary that the theory suffers from some weaknesses and shortcomings that limit its persuasiveness and applicability and professionals should take a cautious approach when applying it to their (...) healthcare practice. While Makins does not provide a clear and consistent definition of higher-order risk attitudes, in mathematics, higher-order attitudes should be defined by the sign and shape of the derivatives of the utility or value function beyond the second order. Prudence is defined by a positive third derivative (convex marginal utility), while temperance is defined by a negative fourth derivative (concave second derivative).2 It is worth noting that higher-order attitudes are domain-specific, context-dependent and situation-sensitive. They vary depending on the framing, wording, format or presentation of the choice problem, …. (shrink)

We investigate two issues about the subjective experience of one's body: first, is the experience of owning a full-body fundamentally different from the experience of owning a body-part?Second, when I experience a bodily sensation, does it guarantee that I cannot be wrong about whether it is me who feels it? To address these issues, we conducted a series of experiments that combined the rubber hand illusion (RHI) and the “body swap illusion.” The subject wore a head mounted display (HMD) connected (...) with a stereo camera set on the experimenter's head. Sitting face to face, they used their right hand holding a paintbrush to brush each other's left hand. Through the HMD, the subject adopted the experimenter's first-person perspective (1PP) as if it was his/her own 1PP: the subject watched either the experimenter's hand from the adopted 1PP, and/or the subject's own hand from the adopted third-person perspective (3PP) in the opposite direction (180°), or the subject's full body from the adopted 3PP (180°, with or without face). The synchronous full-body conditions generate a “self-touching illusion”: many participants felt that “I was brushing my own hand!” We found that (1) the sense of body-part ownership and the sense of full-body ownership are not fundamentally different from each other; and (2) our data present a strong case against the mainstream philosophical view called the immunity principle (IEM). We argue that it is possible for misrepresentation to occur in the subject's sense of “experiential ownership” (the sense that I am the one who is having this bodily experience). We discuss these findings and conclude that not only the sense of body ownership but also the sense of experiential ownership call for further interdisciplinary studies. (shrink)

My aim in this article is to set out some counter-intuitive claims about the challenges posed by artificial intelligence (AI) applications to the protection and enjoyment of human rights and to be your guide through my unorthodox ideas. While there are familiar human rights issues raised by AI and its applications, these are perhaps the easiest of the challenges because they are already recognized by the human rights regime as problems. Instead, the more pernicious challenges are those that have yet (...) to be identified or articulated, because they arise from new affordances rather than directly through AI modeled as a technology. I suggest that we need to actively explore the potential problem space on this basis. I suggest that we need to adopt models and metaphors that systematically exclude the possibility of applying the human rights regime to AI applications. This orientation will present us with the difficult, intractable problems that most urgently require responses. There are convincing ways of understanding AI that lock out the very possibility for human rights responses and this should be grounds for serious concern. I suggest that responses need to exploit both sets of insights I present in this paper: first that proactive and systematic searches of the potential problem space need to be continuously conducted to find the problems that require responses; and second that the monopoly that the human rights regime holds with regards to addressing harm and suffering needs to be broken so that we can deploy a greater range of barriers against failures to recognize and remedy AI-induced wrongs. (shrink)

This paper investigates the relationship between technological finance, high-quality economic growth, and financial stability. Based on data of 30 provinces collected between 2004 and 2017, this paper adopts the method of factor analysis to construct comprehensive indexes of technological finance and financial stability before calculating green total factor productivity as the index of high-quality development, using the CRS Multiplicative Model. Then it constructs the spatial SAC model and PVAR model for analyses of the just-mentioned relationship based on the total sample (...) of the nation and regional samples in eastern, middle, and western China, respectively. The results reveal that All samples, whether the total national samples or regional samples of eastern, middle, and western China demonstrate the positive influence of technological finance on high-quality economic development, with an obvious spatial spillover effect. The impact factor is the highest in the eastern region, while the western region holds the lowest factor among the three. Judging by the general national sample, technological finance has an obvious negative shock effect on financial stability within a short period, but the effect gradually dwindles as time goes by. This rule applies to the sample of the eastern region, as its technological finance poses a short-time negative shock effect on financial stability, before gradually diminishing to 0. Neither western nor middle regions have displayed an obvious shock impact on financial stability. (shrink)

Most e-commerce platforms allow consumers to post product reviews, causing more and more consumers to get into the habit of reading reviews before they buy. These online reviews serve as an emotional feedback of consumers’ product experience and contain a lot of important information, but inevitably there are malicious or irrelevant reviews. It is especially important to discover and identify the real sentiment tendency in online reviews in a timely manner. Therefore, a deep learning-based real online consumer sentiment classification model (...) is proposed. First, the mapping relationship between online reviews of goods and sentiment features is established based on expert knowledge and using fuzzy mathematics, thus mapping the high-dimensional original text data into a continuous low-dimensional space. Secondly, after obtaining local contextual features using convolutional operations, the long-term dependencies between features are fully considered by a bidirectional long- and short-term memory network. Then, the degree of contribution of different words to the text is considered by introducing an attention mechanism, and a regular term constraint is introduced in the objective function. The experimental results show that the proposed convolutional attention–long and short-term memory network model has a higher test accuracy of 83.3% compared with other models, indicating that the model has better classification performance. (shrink)

A scientific paper’s citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks and draw the (...) following conclusions: as for collaboration networks, the degree centrality at the paper level is positively correlated with citations; in the collaboration network, the positive correlation between the structural hole at the paper level and citations does not exist; within knowledge networks, an inverted- U shape was found between degree centrality and paper’s citation; and within knowledge networks, a positive correlation is in existence between the structural hole of papers and their citation. This study synthesizes the already widely used collaboration network with the knowledge network constructed through keywords, distinguishes from the previous network features focusing at the author level, and explores research projects of Chinese Sports Industry from the paper level, providing a new perspective for the research of sports industry in China, complementing the methods and ideas of sports industry research, as well as providing a reference for the research in other disciplinary fields. (shrink)

Drawing on the upper echelon theory, this paper explores the relationship between CEO ability and ESG responsibility fulfillment. Based on this, it further explores the mediating role of organizational resilience and the moderating role of environmental uncertainty. Using data from Chinese A-share-listed manufacturing companies from 2010 to 2020, we find that CEO ability promotes ESG responsibility fulfillment, and organizational resilience mediates this relationship. Furthermore, the promotion effect of CEO ability on ESG responsibility fulfillment through organizational resilience is stronger under high (...) environmental uncertainty. Additionally, the influence of CEO ability on ESG responsibility fulfillment is more pronounced in non-state-owned enterprises and low environmental sensitivity industries. Our study opens the “black box” of the mechanism between CEO ability and ESG responsibility fulfillment and provides practical implications for organizations, managers, and policymakers to promote ESG responsibility fulfillment. (shrink)

Economy is one of the major issues in the United States presidential election campaign. In order to investigate the impact of the US presidential election on the economy, this paper first constructs an analysis model of the economic impact on the United States based on stepwise regression and principal component analysis to analyze the focus of different candidates’ attention on the economic issues and its possible impact on the US economy in the election year and after the election; secondly, a (...) Chinese economic impact analysis model based on factor analysis and machine learning logistic regression was constructed to analyze the impact of the US presidential election on the Chinese economy. At the same time, the future economic development of the United States and China based on the time series prediction model is forecast and analyzed, respectively. Finally, the countermeasures and policy suggestions on China’s related economic development are put forward. (shrink)

The main purpose of this note is to characterize consistency of logic theories in propositional logic by means of topological concept. Based on the concepts of truth degree of formulas and similarity degree between formulas the concept of logic metric space has been proposed by the first author. It is proved in this note that a closed logic theory Γ is consistent if and only if it contains no interior point in the logic metric space. Moreover the relationship between logic (...) closedness and topological closedness of a logic theory Γ is discussed. Finally, the concept of full divergency is also characterized by means of the topological concept of density. (shrink)

Financial market and economic growth and development trends can be regarded as an extremely complex system, and the in-depth study and prediction of this complex system has always been the focus of attention of economists and other scholars. Emotion recognition algorithm is a pattern recognition technology that integrates a number of emerging science and technology, and has good non-linear system fitting capabilities. However, using emotion recognition algorithm models to analyze and predict financial market and economic growth and development trends can (...) yield more accurate prediction results. This article first gives a detailed introduction to the existing financial development and economic growth status and development trend forecasting problems, and then gives a brief overview of the concept of emotion recognition algorithms. Then, it describes the emotion recognition methods, including statistical emotion recognition methods, mixed emotion recognition methods, and emotion recognition methods based on knowledge technology, and conducts in-depth research on the three algorithm models of statistical emotion recognition methods, they are the support vector machine algorithm model, the artificial neural network algorithm model, and the long and short-term memory network algorithm model. Finally, these three algorithm models are applied to the financial market and economic growth and development trend prediction experiments. Experimental results show that the average absolute error of the three algorithms is below 25, which verifies that the emotion recognition algorithm has good operability and feasibility for the prediction of financial market and economic growth and development trends. (shrink)

Social media has been widely applied by major religions throughout the world to enhance cohesion among believers. Although a considerable amount of research has focused on the effect of social media on the beliefs of Christianity and Islam, East Asian religions have seldom been featured in current research. This study, therefore, took a representative sample of individuals participating in the celebration of the festival of the goddess Mazu and measured their attitudes towards and perceptions of social media’s influence on folk (...) religion. I also explored how social media stimulates transformation in Chinese folk religion, its influence on the preservation of cultural values, and the cross-industry alliance between folk temples and local businesses. Moreover, this study proposes suggestions for further research. (shrink)

As a generalization of both single-valued neutrosophic element and hesitant fuzzy element, single-valued neutrosophic hesitant fuzzy element is an efficient tool for describing uncertain and imprecise information. Thus, it is of great significance to deal with single-valued neutrosophic hesitant fuzzy information for many practical problems. In this paper, we study the aggregation of SVNHFEs based on some normalized operations from geometric viewpoint. Firstly, two normalized operations are defined for processing SVNHFEs. Then, a series of normalized aggregation operators which fulfill some (...) basic conditions of a valid aggregation operator are proposed. Additionally, a decision-making method is developed for resolving multiattribute decision-making problems based on the proposed operators. Finally, a numerical example is provided to illustrate the feasibility and effectiveness of the method. (shrink)

This study aimed to explore the mediating effects of internet gaming disorder, social network use, and generalized pathological internet use on the association between loneliness and depression. A total of 2211 junior high school students completed questionnaires regarding loneliness, internet gaming disorder, social network use, GPIU, and depression. The results of a structural equation model revealed that the path coefficient of loneliness to depression was significantly positive, loneliness could not predict depression through GPIU directly, but loneliness could predict depression through (...) internet gaming disorder to GPIU, loneliness could predict depression through social network use to GPIU, and loneliness could not predict depression through internet gaming disorder to social network use to GPIU. These results provided significant implications for the prevention and reduction of depression in Chinese junior high school students. (shrink)

As a form of experiential education, service learning (SL) shows great potential for promoting students' knowledge transfer as it offers students opportunities to apply what they have learned in classrooms to serve communities in real-life contexts. To explore how students' knowledge transfer evolves during SL, we collected longitudinal survey data from 96 Chinese college students in a 9-week SL program. Results indicate that (a) students' perceived knowledge transfer in SL did not follow a linear trajectory. Although students' perceived knowledge transfer (...) at the end of SL was significantly higher than those at the beginning, a slight drop was observed in the middle of SL; (b) the developmental pattern of perceived knowledge transfer varied across students; and (c) students' perceived knowledge transfer development during SL was associated with mastery goal orientation and perceptions of psychologically controlling behaviors from their SL supervisors. By providing evidence of the dynamic process and mechanisms of students' knowledge transfer development, the present study adds to our understanding of how, when, and why the benefits of SL are realized. (shrink)

This study investigates how abnormally hot temperatures affect firms’ environmental behaviors in China. We find that firms exposed to abnormally hot temperatures participate in more environmental engagement. We also find that this improvement effect is driven mainly by environmental concerns, including public concerns, CEOs, and governments. Our results remain intact after an array of robustness tests. Further analysis shows that the effect of abnormally hot temperatures on corporate environmental engagement is more pronounced in SOEs, heavily polluting firms, and firms located (...) closer to local environmental protection agencies. Based on the political pressure channel, our results indicate that the improvement effect is more prominent in politically connected firms, cities where local officials can wield more influence, local governments have larger financial slack, and local governments disclose their environmental targets. Moreover, the positive impact of environmental engagement on firm value is stronger when firms are exposed to abnormally hot temperatures. Overall, this study sheds light on the potential stimulation of firms’ environmental actions by global warming, which is yet to be fully understood. (shrink)

Resumen: En la antigua filosofía confuciana, el pensamiento de la “Armonía entre el Hombre y la Naturaleza” ocupa un lugar primordial. La noción confuciana tiene una arraigada y extensa historia, evolucionando y profundizándose a lo largo de sucesivas generaciones. Su contenido es profundo e intrincado, y abarca una perspectiva armoniosa e integrada de la naturaleza, una priorización de la rectitud sobre el interés personal y una perspectiva de desarrollo sostenible. Estas ideas tienen un valor significativo como punto de referencia para (...) el establecimiento y avance de los sistemas sociales contemporáneos. Este artículo pretende explorar los orígenes y el desarrollo del concepto de “Armonía entre el Hombre y la Naturaleza”, al tiempo que analiza y reflexiona sobre cómo influye esta ideología en la construcción de la sociedad actual. (shrink)

Editors' Introduction to the special issue of Research in Ethical Issues in Organisations, the proceedings of the 27th Annual Conference of the Australian Association of Professional and Applied Ethics, hosted by the Discipline of Philosophy and Religious Studies at the University of New England in 2020.

In recent years, the Audit Pilot of Natural Resources Assets (APNRA) pilot program has been implemented by the Chinese government to strengthen the protection of natural resources and the ecological environment. Based on the APNRA pilot program, we use the multi-period differences–in–differences model to investigate the response of corporate environmental responsibility to external governance pressure. We find that firms significantly improve their environmental investment and performance after the implementation of the APNRA pilot program. Sewage charges (including green fees) and ecological (...) protection incentives constitute the two main channels that explain the positive relationship. We further find that the impact of the program on corporate environmental investment and performance is more pronounced for firms in regions with poor environmental quality, and for firms in heavy-polluting industries. This paper introduces the role of government governance in generating positive externality for firms and provides a valuable understanding of environmental governance in an emerging market. (shrink)

ObjectiveThis study aims to investigate anxiety and its influencing factors in patients with drug-induced liver injury (DILI).Materials and MethodsNinety-four patients with DILI were enrolled and evaluated with a self-rating anxiety scale (SAS). According to the anxiety score, they were divided into four groups: the non-anxiety, mild anxiety, moderate anxiety, or severe anxiety groups, and the scores were analyzed based on demographic and biochemical indicators.ResultsOf the 94 patients with DILI, 63 did not have anxiety and 31 had anxiety (32.9%), of which (...) 27 had mild, 3 had moderate, and 1 had severe anxiety. There were no statistically significant differences in gender, age, occupation, and level of education between the groups (F= 1.42,H= 2.361,H= 6.751,H= 1.796, andP> 0.05); anxiety score and degree of anxiety between the types of drugs that led to the liver injury (H= 0.812,H= 1.712, andP> 0.05); anxiety score between the different degrees of liver injury (H= 2.836,H= 4.957,P> 0.05); or length of hospital stay or prognosis between the degrees of anxiety (F= 1.487,H= 0.761,P> 0.05). However, there were statistically significant differences in the degree of anxiety between different degree and types of liver injury (H= 7.981,H= 8.208,P< 0.05).ConclusionPatients with DILI may have anxiety, especially mild anxiety. The occurrence of anxiety in patients with DILI is not related to gender, age, occupation, or level of education but may be related to the degree and type of liver injury. Anxiety has no impact on the length of stay in hospital or the prognosis of the DILI. These findings may contribute to the development of management strategies for patients with DILI. (shrink)

IntroductionAccurately predicting the competitive performance of elite athletes is an essential prerequisite for formulating competitive strategies. Women’s all-around speed skating event consists of four individual subevents, and the competition system is complex and challenging to make accurate predictions on their performance.ObjectiveThe present study aims to explore the feasibility and effectiveness of machine learning algorithms for predicting the performance of women’s all-around speed skating event and provide effective training and competition strategies.MethodsThe data, consisting of 16 seasons of world-class women’s all-around speed (...) skating competition results, used in the present study came from the International Skating Union. According to the competition rules, distinct features are filtered using lasso regression, and a 5,000 m race model and a medal model are built using a fivefold cross-validation method.ResultsThe results showed that the support vector machine model was the most stable among the 5,000 m race and the medal models, with the highest AUC. Furthermore, 3,000 m points are the main characteristic factors that decide whether an athlete can qualify for the final. The 11th lap of the 5,000 m, the second lap of the 500 m, and the fourth lap of the 1,500 m are the main characteristic factors that affect the athlete’s ability to win medals.ConclusionCompared with logistic regression, random forest, K-nearest neighbor, naive Bayes, neural network, support vector machine is a more viable algorithm to establish the performance prediction model of women’s all-around speed skating event; excellent performance in the 3,000 m event can facilitate athletes to advance to the final, and athletes with outstanding performance in the 500 m event are more likely competitive for medals. (shrink)

Organizational sustainability in the form of environmental management and sustainable production is becoming more important for small and medium-sized enterprises throughout the world. This research evaluates the factors affecting the understanding of the CEO's and managers' intention to adopt practices of green supply chain management and clean innovation technology in the manufacturing SMEs of Pakistan. This empirical research identifies key determinants influencing the adoption of GSCM practices. Using structural equation modeling, we selected a sample size of 350 different manufacturing firms (...) in Pakistan. The results of the study revealed that six factors, namely, environmental, government, organization, suppliers, market, and operational factors, significantly influence the intention to adopt GSCM and positively impact sustainable production. The study's findings reveal that market and operational factors are highly significant for adopting GSCM practices at a p-value of 0.05. Environmental and organizational factors are equally significant to adopt GSCM practices at a p-value of 0.10. This research also analyzed CIT as a moderator between environmental, government, organization, customer, supplier, economic, market, and operational factors in the context of Pakistan. Hypotheses H9a, H9b, H9f, and H9g were validated and support the use of CIT to boost enterprise production and consumption. The research findings would help policymakers understand how to implement GSCM practices and guide enterprises to implement GSCM and CIT practices for enhancing enterprise performance and environmental sustainability. (shrink)

This paper explores the rhetoric of obstetric ultrasound technology as it relates to the abortion debate, specifically the interpretation given to ultrasound images by opponents of abortion. The tenor of the anti-abortion approach is precisely captured in the videotape, Ultrasound:A Window to the Womb. Aspects of this videotape are analyzed in order to tease out the assumptions about the (female) body and about the access to truth yielded by scientific technology (ultrasound) held by militant opponents of abortion. It is argued (...) that the ultrasound images do not offer transparent confirmation of the ontological status of the embryo and fetus. Rather, the window of ultrasound is constructed through a complex combination of visual and verbal devices: ultrasound images, photographic images, verbal argument, and emotional appeal. (shrink)

In Zizek and Politics, Geoff Boucher and Matthew Sharpe go beyond standard introductions to spell out a new approach to reading Zizek, one that can be highly critical as well as deeply appreciative. They show that Zizek has a raft of fundamental positions that enable his theoretical positions to be put to work on practical problems. Explaining these positions with clear examples, they outline why Zizek's confrontation with thinkers such as Derrida, Foucault and Deleuze has so radically changed how (...) we think about society. They then go on to track Zizek's own intellectual development during the last twenty years, as he has grappled with theoretical problems and the political climate of the War on Terror. This book is a major addition to the literature on Zizek and a crucial critical introduction to his thought. (shrink)

Classical work on Vedanta philosophy by Bādarāyaṇa; includes three commentaries.

Anton Bruckner, the Austrian composer famous for his monumental and sophisticated symphonies, has never been among the most popular composers in the English-speaking world. However, the fact that his works became the favourites of the Nazis before and during WWII has been the subject of an ongoing scholarly debate since the 1990's. Not only did Hitler show personal approval of the symphonist, the National Socialist Party used the orchestral music of Bruckner to accompany a number of important party events. For (...) example, in the 1939 video footage of Hitler's 50th birthday celebration, we hear the final climax of the Fifth Symphony accompanying images of the F??hrer. After the German radio announced the death of Hitler on 1st May 1945, the Adagio of the Seventh Symphony was played, perhaps as a kind of funeral music for the Nazi dictator. (shrink)

The rise of China could be the most important political development of the twenty-first century. What will China look like in the future? What should it look like? And what will China's rise mean for the rest of world? This book, written by China's most influential foreign policy thinker, sets out a vision for the coming decades from China's point of view. In the West, Yan Xuetong is often regarded as a hawkish policy advisor and enemy of liberal internationalists. But (...) a very different picture emerges from this book, as Yan examines the lessons of ancient Chinese political thought for the future of China and the development of a "Beijing consensus" in international relations. Yan, it becomes clear, is neither a communist who believes that economic might is the key to national power, nor a neoconservative who believes that China should rely on military might to get its way. Rather, Yan argues, political leadership is the key to national power, and morality is an essential part of political leadership. Economic and military might are important components of national power, but they are secondary to political leaders who act in accordance with moral norms, and the same holds true in determining the hierarchy of the global order. Providing new insights into the thinking of one of China's leading foreign policy figures, this book will be essential reading for anyone interested in China's rise or in international relations. (shrink)