We live in the Age of Big Data. In medicine, artificial intelligence and machine learning algorithms, fueled by big data, promise to change how physicians make diagnoses, determine prognoses, and develop new treatments. An exponential rise in articles on these topics is seen in the medical literature. Recent applications range from the use of deep learning neural networks to diagnose diabetic retinopathy and skin cancer from image databases, to the use of various machine learning algorithms for prognostication in cancer and (...) cardiovascular disease. Many factors are driving the adoption of AI in health care, from... (shrink)

Naturalistic theories of disease appeal to concepts of biological function, and use the notion of dysfunction as the basis of their definitions. Debates in the philosophy of biology demonstrate how attributing functions in organisms and establishing the function-dysfunction distinction is by no means straightforward. This problematization of functional ascription has undermined naturalistic theories and led some authors to abandon the concept of dysfunction, favoring instead definitions based in normative criteria or phenomenological approaches. Although this work has enhanced our understanding of (...) disease and illness, we need not necessarily abandon naturalistic concepts of function and dysfunction in the disease debate. This article attempts to move towards a new naturalistic theory of disease that overcomes the limitations of previous definitions and offers advantages in the clinical setting. Our approach involves a re-evaluation of concepts of biological function employed by naturalistic theories. Drawing on recent insights from the philosophy of biology, we develop a contextual and evaluative account of function that is better suited to clinical medicine and remains consistent with contemporary naturalism. We also show how an updated naturalistic view shares important affinities with normativist and phenomenological positions, suggesting a possibility for consilience in the disease debate. (shrink)

From a rebellious young woman with a dangerous heroin habit to a globe-trotting fashion model to “First Lady of Yoga” (The New York Times), Colleen Saidman Yee tells the remarkable story of how she found herself through the healing power of yoga—and then inspired others to do the same. I’ve learned how to extract the beauty of an ordinary day. I’ve learned that the best high exists in the joy—or the sadness—of the present moment. Yoga allows me to surf the (...) ripples and sit with the mud, while catching glimpses of the clarity of my home at the bottom of the lake: my true self. The very first time Saidman Yee took a yoga class, she left feeling inexplicably different—something inside had shifted. She felt alive—so alive that yoga became the center of her life, helping her come to terms with her insecurities and find her true identity and voice. From learning to cope with a frightening seizure disorder to navigating marriages and divorces to becoming a mother, finding the right life partner, and grieving a beloved parent, Saidman Yee has been through it all—and has found that yoga holds the answers to life’s greatest challenges. Approachable, sympathetic, funny, and candid, Saidman Yee shares personal anecdotes along with her compassionate insights and practical instructions for applying yoga to everyday issues and anxieties. Specific yoga sequences accompany each chapter and address everything from hormonal mood swings to detoxing, depression, stress, and increased confidence and energy. Step-by-step instructions and photographs demonstrate her signature flow of poses so you can follow them effortlessly. Yoga for Life offers techniques to bring awareness to every part of your physical and spiritual being, allowing you to feel truly alive and to embody the peace of the present moment. (shrink)

There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites' conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality and that doing so may improve the predictive and explanatory power of extant (...) models. (shrink)

Charles Taylor is one of the most distinctive figures in the landscape of contemporary philosophy. His ability to contribute to philosophical conversations across a wide spectrum of ideas is especially impressive in a time of increasing specialization. These areas include moral theory, theories of subjectivity, political theory, epistemology, hermeneutics, philosophy of mind, philosophy of language and aesthetics. Most recently, Taylor has branched into the study of religion. Written by a team of international authorities, this collection will be read primarily by (...) students and academic professionals in philosophy, political science, and religious studies, and will also appeal to a broad swathe of professionals across the humanities and social sciences. Ruth Abbey is Senior Lecturer in Political Theory at University of Kent at Canterbury. She has published numerous articles and is author of Nietzsche's Middle Period (Oxford University Press, 2000) and Philosophy Now: Charles Taylor (Princeton University Press, 2000). (shrink)

There have recently been novel applications of medical systematic review guidelines to economic policy interventions which contain controversial methodological assumptions that require further scrutiny. A landmark 2017 Cochrane review of unconditional cash transfer (UCT) studies, based on the Grading of Recommendations Assessment, Development and Evaluation (GRADE), exemplifies both the possibilities and limitations of applying medical systematic review guidelines to UCT and universal basic income (UBI) studies. Recognizing the need to upgrade GRADE to incorporate the differences between medical and policy interventions, (...) the GRADE Public Health Project Group (PHPG) was convened to enumerate and address these methodological challenges. However, in light of our analysis of additional methodological challenges that arise for UCT and UBI studies, we argue that the adaptation of medical systematic review guidelines to economic methodology is far from straightforward and is in fact more challenging than claimed by the PHPG. (shrink)

Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and security systems. Advances in computer algorithms and video acquisition technology have rendered machine analysis of facial micro-expressions possible today. Although the study of facial micro-expressions is a well-established field in psychology, it is still relatively new from the computational perspective with many interesting problems. In this survey, we (...) present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition. Individual stages involved in the automation of these tasks are also described and reviewed at length. In addition, we also deliberate on the challenges and future directions in this growing field of automatic facial micro-expression analysis. (shrink)

The history of economic thought witnessed several prominent economists who took seriously models and concepts in physics for the elucidation and prediction of economic phenomena. Econophysics is an emerging discipline at the intersection of heterodox economics and the physics of complex systems, with practitioners typically engaged in two overlapping but distinct methodological programs. The first is to export mathematical methods used in physics for the purposes of studying economic phenomena. The second is to export mechanisms in physics into economics. A (...) conclusion is drawn that physics transfer is often justified at the level of mathematical transfer but unjustified at the level of mechanistic transfer. (shrink)

I thought the paper by Kai-yee Wong and Chris Fraser was fascinating and insightful. Two things I especially appreciated are the clarity with which they summarize my views. I think they are quite fair and accurate. Second, I appreciate their suggestion that the way to deal with the practical problem of weakness of will has much to do with the role of the Background in shaping our actions. I think they are especially on the right track when they say that (...) the improvement of Background skills may actually narrow the range of real options for action, (p. 21) nonetheless, they do not decrease freedom. As they say, “It is a process of strengthening the self, and the agent is likely to experience the concomitant restriction of ‘live’ options not as a limitation but as strength of character.” (p. 21). That seems to me very much on the right track. What they are suggesting, and it is a powerful addition to my own writings, is that we should not just think of the Background as facilitating languages, games and social practices generally, but for morality as well (p. 23). (shrink)

The philosophy of empowerment, which is based on the premises that clients must be active, equal and collaborative participants, who are aware and commited to change, has guided research in empowerment interventions. This article reports on a small part of a research study that sought to understand Chinese cancer patients’ conceptualization of empowerment. Qualitative delineation of the concept of empowerment by means of in-depth interviews was carried out with 12 Chinese patients with cancer. The findings showed that empowerment is a (...) process whereby patients develop a sense of inner strength through connection with others, including families, friends and health care professionals. It is also a process of transformation through which they actively develop new perspectives by reframing and reinterpreting their illness. Acceptance of illness was shown to result from a realization of a lack of control in the situation, which is then enhanced by the beliefs of Confucianism and Taoism. In the cancer context, personal control comprises both primary and secondary processes. Active involvement, awareness of the situation, partnership, self-determination and self-reliance are important values in empowerment. The concept and therapeutic foundations of empowerment provide ample legitimacy for its vigorous pursuit in nursing. (shrink)

The tropical rain-forest regions in Borneo Island have in place various tough environmental policies to manage the economic use of natural resources sustainably. Nevertheless, their biological landscapes are struggling against unprecedented ecological assault amid rapid industrial transformations which have involved massive and irreversible exploitation of land resources. The main reason behind this mismatch of sustainable resource management vis-à-vis unsustainable resource use is the failure on the part of the policy makers to act under the guidance of certain ethical virtues when (...) attempting to translate environmental rhetoric in print to concrete actions in reality. Ethical engagement with nature is pivotal in helping to stimulate genuine efforts in environmental conservation. Field research in the Borneo tropical rain-forest state of Sarawak, Malaysia is able to identify and evaluate the distinctive environmental attitudes, values, and practices of the indigenous communities, and their implications on Sarawak’s sustainable land-resource use and to reinforce the importance of ethical leadership in addressing a myriad of today’s environmental challenges. (shrink)

This study investigates the interaction effects of two business strategies (differentiation and low cost) and human resource (HR) management (HRM) practices (recruitment and selection, training and development, compensation, performance management, employment security and work–life balance) on employee outcomes (organizational commitment, turnover intention, employee involvement and job satisfaction). These relationships are further analyzed on the extent of differences between public and private limited companies in Malaysia. Structural equation modelling (SEM) is used to examine the effect of the three variables and the (...) invariance effect of the two types of companies. The results show that HRM practices mediate the interaction of business strategy and employee outcomes. Furthermore, the effects of business strategy and HRM practices on employee outcomes in public limited companies are only slightly different from the ones implemented in private limited companies. Specifically, the moderation analysis shows invariance between differentiation strategy and variance in low-cost strategy. (shrink)

Narrative ambiguity is a deliberate stylistic device which engages the reader, seizes the imaginative processes, and creates an interaction with the characters of the story that a more explicitly detailed account does not allow to happen.

Anticipated nostalgia is a new construct that has received limited empirical attention. It concerns the anticipation of having nostalgic feelings for one’s present and future experiences. In three...

Francis Ysidro Edgeworth’s unduly neglected monograph New and Old Methods of Ethics (1877) advances a highly sophisticated and mathematized account of social well-being in the utilitarian tradition of his 19th-century contemporaries. This article illustrates how his usage of the ‘calculus of variations’ was combined with findings from empirical psychology and economic theory to construct a consequentialist axiological framework. A conclusion is drawn that Edgeworth is a methodological predecessor to several important methods, ideas, and issues that continue to be discussed in (...) contemporary social well-being studies. (shrink)

Distributional semantic models (DSMs) are a primary method for distilling semantic information from corpora. However, a key question remains: What types of semantic relations among words do DSMs detect? Prior work typically has addressed this question using limited human data that are restricted to semantic similarity and/or general semantic relatedness. We tested eight DSMs that are popular in current cognitive and psycholinguistic research (positive pointwise mutual information; global vectors; and three variations each of Skip-gram and continuous bag of words (CBOW) (...) using word, context, and mean embeddings) on a theoretically motivated, rich set of semantic relations involving words from multiple syntactic classes and spanning the abstract–concrete continuum (19 sets of ratings). We found that, overall, the DSMs are best at capturing overall semantic similarity and also can capture verb–noun thematic role relations and noun–noun event-based relations that play important roles in sentence comprehension. Interestingly, Skip-gram and CBOW performed the best in terms of capturing similarity, whereas GloVe dominated the thematic role and event-based relations. We discuss the theoretical and practical implications of our results, make recommendations for users of these models, and demonstrate significant differences in model performance on event-based relations. (shrink)

There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites’ conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality and that doing so may improve the predictive and explanatory power of extant (...) models. (shrink)

Gender inequality, poverty, racial discrimination, and ecological catastrophes are some of the problems we are currently facing. While these problems may seem to be separate and independent, most of the oppressions could be attributed to the domination of capitalist patriarchy. Ecofeminism sees an intersection behind these oppressions—most of the oppressions could be attributed to the domination of capitalist patriarchy. With a prime focus on environmental issues, ecofeminism suggests that the attitudes and mechanisms behind the mastery over women and nature are (...) not only similar but are one and the same. For ecofeminists, environmental issues are feminist issues. A decoding of the conquest of nature and the... (shrink)

Current methods of operationalizing concepts of misinformation in machine learning are often problematic given idiosyncrasies in their success conditions compared to other models employed in the natural and social sciences. The intrinsic value-ladenness of misinformation and the dynamic relationship between citizens' and social scientists' concepts of misinformation jointly suggest that both the construct legitimacy and the construct validity of these models needs to be assessed via more democratic criteria than has previously been recognized.

It is argued that shu involves one's identification with another person while one criticizes the latter's perspective based on one's own. A mechanism is proposed for developing this sort of critique, based on some significant Confucian values. Finally, shu is applied to the context of caring actions, and it is shown how it can help to solve some of the problems arising in caring for others.

The COVID-19 global pandemic has stretched the capacities of public health institutions and health systems around the world, opening the door to a range of technologically-driven solutions. In this article, we seek to historicize the expanding role of digital health technologies and examine the political-economic context from which they have emerged. Drawing on critical insights from science and technology studies, we maintain that the rise of digital health technologies has been catalyzed by broad shifts in global health governance that have (...) expanded the role of market forces in public health and a unique set of political and economic crises that have accelerated the adoption of digital technologies—often under the guise of appeals to technological innovation to address “unprecedented” crises. These interrelated historical trends, we contend, are critical for understanding current state responses to the pandemic and possibilities for more equitable and democratic applications of technology in public health. (shrink)

Tumor necrosis is a common histological feature and poor prognostic predictor in various cancers. Despite its significant clinical implications, the mechanism underlying tumor necrosis remains largely unclear due to lack of appropriate pre‐clinical modeling. We propose that tumor necrosis is a synergistic consequence of metabolic stress and inflammation, which lead to oxidative stress‐induced cell death, such as ferroptosis. As a natural consequence of tumor expansion, tumor cells are inevitably stripped of vascular supply, resulting in deprivation of oxygen and nutrients. The (...) resulting metabolic stress has commonly been considered the cause of tumor necrosis. Recent studies found that immune cells, such as neutrophils, when recruited to tumors, can directly trigger ferroptosis in tumor cells, suggesting that immune cells can be involved in amplifying tumor necrosis. This article will discuss potential mechanisms underlying tumor necrosis development and its impact on tumor progression as well as the immune response to tumors. (shrink)

Working memory is developed in one region of the brain called the dorsolateral prefrontal cortex. The dysfunction of this region leads to synaptic neuroplasticity impairment. It has been reported that several biochemical parameters and anthropometric measurements play a vital role in cognition and brain health. This study aimed to investigate the relationships between cognitive function, serum biochemical profile, and anthropometric measurements using DLPFC activation. A cross-sectional study was conducted among 35 older adults who experienced mild cognitive impairment. For this purpose, (...) we distributed a comprehensive interview-based questionnaire for collecting sociodemographic information from the participants and conducting cognitive tests. Anthropometric values were measured, and fasting blood specimens were collected. We investigated their brain activation using the task-based functional MRI, specifically in the DLPFC region. Positive relationships were observed between brain-derived neurotrophic factor and Mini-Mental State Examination ; however, negative relationships were observed between serum triglyceride and serum malondialdehyde with right DLPFC activation while the participants performed 1-back task after adjustments for age, gender, and years of education. In conclusion, higher serum triglycerides, higher oxidative stress, and lower neurotrophic factor were associated with lower right DLPFC activation among older adults with MCI. A further investigation needs to be carried out to understand the causal-effect mechanisms of the significant parameters and the DLPFC activation so that better intervention strategies can be developed for reducing the risk of irreversible neurodegenerative diseases among older adults with MCI. (shrink)