Scientists cannot devise theories, construct models, propose explanations, make predictions, or even carry out observations, without first classifying their subject matter. The goal of scientific taxonomy is to come up with classification schemes that conform to nature's own. Another way of putting this is that science aims to devise categories that correspond to 'natural kinds.' The interest in ascertaining the real kinds of things in nature is as old as philosophy itself, but it takes on a different guise when one (...) adopts a naturalist stance in philosophy, that is when one looks closely at scientific practice and takes it as a guide for identifying natural kinds and investigating their general features. This Element surveys existing philosophical accounts of natural kinds, defends a naturalist alternative, and applies it to case studies in a diverse set of sciences. This title is also available as Open Access on Cambridge Core. (shrink)

Muslim communities in the village facing the COVID-19 Pandemic attempts to find refuge from the plague and hope for survival. However, this led to more caution, which may lead to xenophobia. Via ethnography, this study unmasks the xenophobic attitude. This research discusses the root causes of panic in the community so that remedies can be implemented. The research attempts to explain, from a socio-anthropological viewpoint, how people and religious groups in the village perceive the pandemic of COVID-19 based on their (...) belief in their faith and in the science. The research takes place in Cigagak village, an area of approximately 7000 m2 on the outskirts of Bandung of West Java of Indonesia. This study examines the selected respondents from about 190 inhabitants who had close ties to managing places of worship and public places. This study utilises a collaborative self-ethnographic method and qualitative analysis. The influence of COVID-19 has moved to new exclusive and disintegrating practices from the inclusion-cohesive religious tradition. Therefore, this study tries to find out ways on how to reduce exclusive perception and religious practices to a minimum level and how to disappear xenophobia. Amid the COVID-19 Pandemic, inclusive awareness and actions were re-established, and even social cohesiveness was fostered. This study concludes that in its deep conviction nature, theology can change exclusive behaviour to be inclusive if it is based on the religious principles that are raised in response to human events. In this case, the Muslim community in a village can change the fear of COVID-19 pandemic to be a reducer of the panic based on the support of the religious doctrines.Contribution: This article used a collaborative self-ethnography with a religious socio-anthropological viewpoint. This study could help to solve social problems through theological convergence in Islamic milieu, especially that of the government’s formal Islamic organisation and organic Islamic leaders of the society. (shrink)

Saba Mahmood’s anthropological work studies the gain in skills, agency and capacity building by the women’s dawa movement in Egypt. These women increase their virtue toward the goal of piety by following dominant, often patriarchal norms. Mahmood argues that “teleological feminism” ignores this gain in agency because this kind of feminism only focuses on opposition or resistance to these norms. In this paper I defend Mahmood’s “anti-teleological” feminist work from criticisms that her project valorizes oppression and has no vision for (...) a nonoppressive feminist future. I argue the future envisioned by teleological feminists gets caught in “the Hegelian” trap of replicating past oppression in their feminist future. I find in Mahmood’s work the tools to escape this trap. I argue, rather than a movement of overcoming oppression, Mahmood’s work suggests an immanent and creative movement that emphasizes difference for a truly new future. I turn to a Bergsonian metaphor and argue that this movement can be seen as akin to the movement of biological evolution. I conclude using the work of Eve Sedgwick that the Egyptian women that Mahmood studies are being read in a “paranoid” fashion and demonstrate using Leila Ahmed a better “reparative” reading of these women. (shrink)

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (shrink)

This study analyzed the argumentative writing behavior of Iranian graduate learners of English as Foreign Language in their English essays. Further, the correlations between the use of argument elements and overall writing quality as well as soundness of produced arguments were investigated. To this end, 150 essays were analyzed. The sample essays were found to be predominantly deductive in terms of rhetorical pattern. Moreover, they mainly utilized ‘data’ and ‘claim’ most frequently with secondary elements of argument as the least produced (...) elements. Overall writing quality co-varied significantly positively with the uses of claims, data, counterargument claims, counterargument data, rebuttal claims, and rebuttal data. Essays rated high in terms of overall writing quality were further rated for soundness and relevance of the arguments. The results demonstrate that even for advanced language learners good surface structure cannot necessarily guarantee well thought-out logical structure. The pedagogical implications for writing instruction and research are discussed. (shrink)

I begin the first part by showing how situationism should make us question traditional understandings of virtues as intrinsic dispositions. I concentrate specifically on situationist experiments related to mood. I then introduce Islamic virtue ethics and the dawa movement. In parts two and three I examine ethnography of the dawa movement to explore how they deal with worries about the influence of mood on their virtue. In part two I show how they train their habits in very traditional virtue ethics (...) ways in order to be more resilient when faced with virtue-diminishing affective situations. In part three I show how the situation, rather than hindering practitioners, is recruited into helping these women achieve piety. I conclude, in part four, by showing the dawa movement's creative use of the Islamic veil as a way to help these women deal with the objection that one cannot avoid all bad situations. Going beyond social psychological experiments, I examine two methodological sources not found in situationist debates. First, I argue for ethnography as an empirical method through which to study virtue. I draw on ethnography of the Islamic women's dawa movement. Secondly, the work in the philosophy of mind on ‘affective scaffolding’. (shrink)

In Fear of Knowledge, Paul Boghossian presents a series of arguments against epistemic relativism and constructivism, doctrines that he considers to have exerted an overly unjustified influence over the human and social sciences in the past two decades. In the presentation of his arguments, Boghossian charts out a terrain that closely identifies relativism with skepticism. Yet, the relationship between the two does not seem to be a simple matter of entailment or implication. The purpose of this paper is to clarify (...) the landscape surrounding relativism and skepticism and thereby to highlight their difference. The implications of such a clarification will include illustrating that some arguments thought to be against relativism are actually against skepticism, that there are very different ways of understanding the relationship between relativism and skepticism, and that a commitment to either relativism or skepticism does not entail commitment to the other. The overall objective is to show that Boghossian's conception of the terrain is incorrect and to offer an explanation for this pervasive misconception about the connection between relativism and skepticism. (shrink)

Marxism is not as alive today as it was during the two preceding centuries; even now, however, Marx’s ideasideas of Karl Marx continue to engage the intellect, imagination, and conscience of humanity across the world. This edited collection brings together some of the most important contributions to one of the largest international Marxist conferences hosted in 2018 on the 200th anniversary of the birth of Karl Marx. Divided into two broad categories, the writers in this volume not only engage critically (...) with the ideas of Marx, but also present novel approaches to the re-appropriation of Marx’s ideasthese ideas for the unique challenges of the 21st century. Taken together, this book depicts the state of research on Marx and Marxism around the world and offers new paths for researchers and activists in the coming years. (shrink)

Considering the three intrinsic components of streamflow time series, the overall performance of the streamflow modeling tool is associated with the correct estimation of these components. In this study, a new hybrid method based on the wavelet transform as a multiresolution forecasting tool and exponential smoothing method, with two presented scenarios, was introduced. To this end, the performance of the proposed method was investigated versus four conventional methods of the autoregressive integrated moving average, ES ad-hoc, artificial neural network, and wavelet-ANN (...) for daily and monthly streamflow modeling of West Nishnabotna and Trinity River watersheds with different hydro-geomorphological conditions. In the presented WES technique, firstly, WT is employed for decomposing the observed signal to one approximation and more diverse components of subseries. Then, for the first scenario, only two subseries are introduced to the model as input parameters; however, for the second scenario, decomposed subseries are separately used as the inputs of ES models. The obtained results indicated that combining WT with the ES method and ANN led to more accurate modeling. The proposed methodology that used all decomposed subseries separately improved the efficiency of models up to 30% and 10% for the daily dataset and up to 88% and 57% for the monthly dataset, respectively, for the West Nishnabotna and Trinity Rivers. (shrink)

The notion of 'natural kinds' has been central to contemporary discussions of metaphysics and philosophy of science. Although explicitly articulated by nineteenth-century philosophers like Mill, Whewell and Venn, it has a much older history dating back to Plato and Aristotle. In recent years, essentialism has been the dominant account of natural kinds among philosophers, but the essentialist view has encountered resistance, especially among naturalist metaphysicians and philosophers of science. Informed by detailed examination of classification in the natural and social sciences, (...) this book argues against essentialism and for a naturalist account of natural kinds. By looking at case studies drawn from diverse scientific disciplines, from fluid mechanics to virology and polymer science to psychiatry, the author argues that natural kinds are nodes in causal networks. On the basis of this account, he maintains that there can be natural kinds in the social sciences as well as the natural sciences. (shrink)

The coronavirus pandemic (COVID-19) has badly affected the social, physical, and emotional health of workers, especially those working in the healthcare sectors. Drawing on social exchange theory, we investigated the effects of participative leadership on employees’ workplace thriving and helping behaviors among frontline workers during the COVID-19 pandemic. In addition, we examined the moderating role of a leader’s behavioral integrity in strengthening the relationship between participative leadership, and employees’ workplace thriving and helping behaviors. By using a two-wave time-lagged design and (...) data collected from 244 healthcare workers, a moderated hierarchal regression was implemented to test the proposed hypotheses. As hypothesized, participative leadership predicted employees’ workplace thriving and helping behaviors. The leader’s behavioral integrity strengthened the relationship between participative leadership and employees’ thriving and moderated the relationship between participative leadership helping behaviors. Implications for research, theory, and practice are discussed. (shrink)

With the growing call for private sector actors to address global challenges, it is necessary to first assess whether regions with the greatest needs are accessing corporate philanthropy. In this paper, we ask whether corporate philanthropy is reaching those with the greatest health-care needs. Drawing on economic geography and corporate homophily, we argue that corporate philanthropy tends to exacerbate health inequality as grants are destined for counties with fewer health problems. We test and find support for this hypothesis using data (...) on health grants made by US corporate foundations and county-level health data. Our results that corporate health grants are less likely to go to counties which have a lower proportion of medical service providers and insured citizens suggest that corporate foundations are unwittingly complicit in worsening the resource gap between small, poor, rural counties and large, wealthy, urban counties. From an ethical perspective, we provide some guidance as to how this may be corrected. (shrink)

Substituted judgment assumes adequate knowledge of patient’s mind-set. However, surrogates’ prediction of individual healthcare decisions is often inadequate and may be based on shared background rather than patient-specific knowledge. It is not known whether surrogate’s prediction of patient’s integrative life-story narrative is better. Respondents in 90 family pairs rank-ordered 47 end-of-life statements as life-story narrative measure and completed instruments on decision-control preference and healthcare-outcomes acceptability as control measures, from respondent’s view and predicted pair’s view. They also scored their confidence in (...) surrogate’s decision-making and familiarity with pair’s healthcare-preferences. Life-story narratives’ prediction was examined by calculating correlation of statements’ ranking scores between respondent-personal and respondent-surrogate Q-sorts and between respondent-surrogate and pair-personal Q-sorts before and after controlling for correlation with respondent-personal scores, and by comparing percentages of respondent-surrogate Q-sorts co-loading with pair-personal vs. respondent-personal Q-sorts. Accuracy in predicting decision-control preference and healthcare-outcomes acceptability was determined by percent concordance. Results were compared among subgroups defined by intra-pair relationship, surrogate’s decision-making confidence, and healthcare-preferences familiarity. Mean age was 35.4 years, 69% were females, and 73 and 80% reported ≥ very good health and life-quality, respectively. Mean surrogate’s decision-making confidence score was 3.35 and 75% were ≥ familiar with pair’s healthcare-preferences. Mean projection, simulation, and adjusted-simulation correlations were 0.68, 0.42, and 0.26, respectively. Out of 180 respondent-surrogate Q-sorts, 24, 9, and 32% co-loaded with respondent-personal, pair-personal, or both Q-sorts, respectively. Accuracy in predicting decision-control preference and healthcare-outcomes acceptability was 47 and 52%, respectively. Surrogate’s decision-making confidence score correlated with adjusted-simulation’s correlation score. There were significant differences among the husband-wife, parent-child, and sibling-sibling subgroups in percentage of respondent-surrogate Q-sorts co-loading with pair-personal Q-sorts and percent agreement on healthcare-outcomes acceptability. Despite high self-reported surrogate’s decision-making confidence and healthcare-preferences familiarity, family surrogates are variably inadequate in simulating life-story narratives. Simulation accuracy may not follow the next-of-kin concept and is 38% based on shared background. (shrink)

Although informed consent is an integral part of clinical practice, its current doctrine remains mostly a matter of law and mainstream ethics rather than empirical research. There are scarce empirical data on patients’ perceived purpose of informed consent, which may include administrative routine/courtesy gesture, simple honest permission, informed permission, patient-clinician shared decision-making, and enabling patient’s self decision-making. Different purposes require different processes.

Scientific study of dreams requires the most objective methods to reliably analyze dream content. In this context, artificial intelligence should prove useful for an automatic and non subjective scoring technique. Past research has utilized word search and emotional affiliation methods, to model and automatically match human judges’ scoring of dream report’s negative emotional tone. The current study added word associations to improve the model’s accuracy. Word associations were established using words’ frequency of co-occurrence with their defining words as found in (...) a dictionary and an encyclopedia. It was hypothesized that this addition would facilitate the machine learning model and improve its predictability beyond those of previous models. With a sample of 458 dreams, this model demonstrated an improvement in accuracy from 59% to 63% on the negative emotional tone scale, and for the first time reached an accuracy of 77% on the positive scale. (shrink)

My intention in this paper is to reframe the practice of veiling as an embodied practice of self-development and self- transformation. I argue that practices like these cannot be handled by the choice/chance distinction relied on by those who would restrict religious minority accommodations. Embodied self- transformation necessarily means a change in personal identity and this means the religious believer cannot know if they will need religious accommodation when they begin their journey of piety. Even some luck egalitarians would find (...) leaning exclusively on preference and choice to find who should be burdened with paying the full costs of certain choices in one’s life too morally harsh to be justifiable. I end by briefly illustrating an alternative way to think about religious accommodation that does not rely on the choice/chance distinction. (shrink)

In this paper I offer a unified causal account of natural kinds. Using as a starting point the widely held view that natural kind terms or predicates are projectible, I argue that the ontological bases of their projectibility are the causal properties and relations associated with the natural kinds themselves. Natural kinds are not just concatenations of properties but ordered hierarchies of properties, whose instances are related to one another as causes and effects in recurrent causal processes. The resulting account (...) of natural kinds as clusters of core causal properties that give rise to clusters of derivative properties enables us to distinguish genuine natural kinds from non-natural kinds. For instance, it enables us to say why some of the purely conventional categories derived from the social domain do not correspond to natural kinds, though other social categories may. (shrink)

This study examined the relationship between L2 motivation and engagement in academic reading skill from the lenses of L2 motivational self-system and transformative experience. More specifically, following the transformative experience framework, we investigated the level of students’ engagement in academic reading skills inside and outside English classes. We also explored what motivational factors act as strong predictors of transformative experience and whether L2 motivation and engagement of students differ across different disciplines. Stratified purposive sampling was followed to recruit 419 undergraduate (...) English for academic purposes students studying in different majors. As such, we developed a questionnaire for measuring TE and utilized a pre-established questionnaire to operationalize L2 motivational self-system. We found that L2 motivation significantly covaried with students’ level of engagement in English academic reading skill. Furthermore, the results of multiple regression analysis revealed that L2 learning experience and ideal L2 self were strong predictors of transformative engagement; ought-to L2 self played a marginal role in the occurrence of TE. Discipline-wise, Life Sciences students were considerably more motivated than those in Arts and Humanities. However, no significant difference was observed in the extent of transformative engagement among students across disciplinary groups. Implications for EAP instructors, educational authorities, and material and curricula developers are discussed. (shrink)

We study invariant measures on compact Hausdorff spaces using finitary integral logic. For each compact Hausdorff space X and any family equation image of its continuous transformations, we find equivalent conditions for the existence of an equation image-invariant measure on X. We give two proofs of the existence of Haar measure on compact groups.

ObjectivesThe breast cancer stigma affects Health-related quality of life, while general resilience resources, namely, sense of coherence, social support, and coping skills, are thought to alleviate this effect. The study aimed to explore the mediating/moderation role of GRRs in the relationship between stigma and HRQoL and its dimensions in Iranian patients with breast cancer.MethodsIn this cross-sectional study, Stigma Scale for Chronic Illness 8-item version, SOC-13, Medical Outcome Survey- Social Support Scale, Brief COPE, and Functional Assessment of Cancer Therapy-Breast were investigated (...) in a convenience sample of Iranian women with confirmed non-metastatic breast cancer. Following the establishment of correlations using Pearson’s correlation, single and parallel mediation analysis and moderation analysis were conducted to determine the extent to which each GRR might be impacted by stigma or decrease the adverse impact of stigma on HRQoL.ResultsAn analysis of 221 women with the mean age of 47.14 showed that stigma was negatively correlated to all HRQoL’s dimensions, SOC, social support, and the bulk of coping skills. In the single mediation analysis, stigma affected all facets of SOC, all subscales of social support, and positive reframing, which partially reduced breast cancer HRQoL. Stigma affects general HRQoL through damaging meaningfulness, social support, and positive reframing. Meaningfulness was marked as the most impacted GRR in terms of all domains of HRQoL. In parallel mediation, reduced meaningfulness, total social support, and positive reframing were highlighted as the pathways of diminished breast cancer HRQoL. Moderation analysis indicated the higher levels of humor, behavioral disengagement, and use of instrumental support behaviors to be functional in protecting different dimensions of HRQoL, while the results were mixed for venting, especially in patients with mastectomy surgery.ConclusionWhile GRRs may be impacted by stigma, they exert a relatively small protective effect against the impact of stigma on HRQoL. This study provides some novel findings, but longitudinal studies are needed to further verify these before any causal conclusion or recommendations for health policy can be drawn. (shrink)

The current doctrine of informed consent for clinical care has been developed in cultures characterized by low-context communication and monitoring-style coping. There are scarce empirical data on patients' norm perception of information disclosure in other cultures.

Could some social kinds be natural kinds? In this paper, I argue that there are three kinds of social kinds: 1) social kinds whose existence does not depend on human beings having any beliefs or other propositional attitudes towards them ; 2) social kinds whose existence depends in part on specific attitudes that human beings have towards them, though attitudes need not be manifested towards their particular instances ; 3) social kinds whose existence and that of their instances depend in (...) part on specific attitudes that human beings have towards them . Although all three kinds of social kinds are mind-dependent, this does not make them ontologically subjective or preclude them from being natural kinds. Rather, what prevents the third kind of social kinds from being natural kinds is that their properties are conventionally rather than causally linked. (shrink)

Discussions about politics and human power, including discussions about the concept of the state, have been a discussion that has been going on since Greek times until the time of the growth of Islamic philosophy. The overemphasis on the power of reason led early modern Western societies to reject religion in all political discourse. At this stage, all views of man, power, the constitution, and the state eventually ceased to be associated with God. On the other hand, especially among Muslims, (...) religion is still connected with discussions of politics and human power. This paper will reveal how secularization in political thought grew and developed through principles such as the state of nature and the social contract. Then, based on the thought of one of the influential Muslim scholars, Syed Muhammad Naquib Al-Attas, the author tries to provide a critique of the views of Western thinkers such as Thomas Hobbes, John Locke, and other philosophers, by presenting the concept of the ideal state form derived from the concept of tamaddun formulated by Al-Attas. This research is literature review research using the descriptive method. The findings of this research show that secularization is a product purely born by Western secular thinkers and not taken from any religious teachings, so Western political concepts cannot always be applied, especially in Muslim societies. (shrink)

Name der Zeitschrift: Semiotica Jahrgang: 2017 Heft: 216 Seiten: 297-316.

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)

Mankind is faced with a number of serious problems that demand an effective solution. The prevalence of injustice and the frequency of financial crises are two of the most serious of these problems. Consisting of an in-depth introduction along with a selection of eight of Muhammad Umer Chapra's essays--four on Islamic economics and four on Islamic finance--this timely book raises the question of what can be done to not only minimize the frequency and severity of the financial crises, but (...) also make the financial system more equitable. The author considers the origins of Islamic economics and outlines its development and underlying principles. He compares the approach taken to ethics and economics in Islam with that taken in the West, considering whether lessons can be applied to the global financial architecture in order to mitigate against financial crises. The book also examines the case against interest and looks at both innovation in Islamic finance, as well as challenges facing the industry. Written by a leading authority in the field, this book will be a stimulating resource for students and researchers in Islamic economics and finance, as well as providing valuable insight to all of those with an interest in financial systems and their interaction with society. (shrink)

How can the presence of truth in art be philosophically justified? A fundamental question that can be answered in the wisdom of Mullā Ṣadrā, one of the most important philosophers of Islam. The importance of the question of the relationship between art and truth arises from the state of art in the present era. In fact, the degradation of reason in front of feeling from the nineteenth century until today has made the field of arts devoid of any representation of (...) the truth and caused the importance and originality of finding pleasure or evoking feelings in the arts. Therefore, with a philosophical approach and relying on the descriptive-analytical method, at first, it described the fundamental of truth and delusion, the unity of the world, and the known, practical reason and the function of imagination in shaping intellectual concepts based on Mullā Ṣadrā’s views, and then with relying on those principles, he has examined the formation of truth-based works of art. The most important conclusion of the article is that art is not the only product of the feelings and taste of its creator; Rather, the artist, in his understanding of the truth, prepares the ground for its manifestation in the work of art. With this characteristic, art finds a form of rational knowledge, and symbolic and mystical arts are among the most important examples of this type of artistic creation. (shrink)