BackgroundThe complexities of the workplace environment in the downstream oil and gas industry contain several safety-risk factors. In particular, instituting stringent safety standards and management procedures are considered insufficient to address workplace safety risks. Most accident cases attribute to unsafe actions and human behaviors on the job, which raises serious concerns for safety professionals from physical to psychological particularly when the world is facing a life-threatening Pandemic situation, i.e., COVID-19. It is imperative to re-examine the safety management of facilities and (...) employees’ well-being in the downstream oil and gas production sector to establish a sustainable governance system. Understanding the inherent factors better that contribute to safety behavior management could significantly improve workplace safety features.ObjectiveThis study investigates employees’ safety behavior management model for the downstream oil and gas industry to consolidate the safety, health and wellbeing of employees in times of COVID-19.MethodsNominal Group Technique was first employed to screen primary behavioral factors from 10 workplace health and safety experts from Malaysia’s downstream oil and gas industry. Consequently, 18 significant factors were identified for further inquiry. Next, the interpretive structural modeling technique was used to ascertain the complex interrelationships between these factors and proposed a Safety Behavioral Management Model for cleaner production.ResultsThis model shows that management commitment, employee knowledge and training, leadership, and regulations contribute significantly to several latent factors. Our findings support the Social Cognitive Theory, where employees, their environment, and their behaviors are related reciprocally.ConclusionIt is postulated that identifying safety factors and utilizing the proposed model guides various stakeholder groups in this industry, including practitioners and policymakers, for achieving long-term sustainability. (shrink)

Workers can be fired from jobs, citizens sent to jail, and adolescents more likely to experience depression, all because of algorithms. Algorithms have considerable impacts on our lives. To increase user satisfaction and trust, the most common proposal from academics and developers is to increase the transparency of algorithmic design. While there is a large body of literature on algorithmic transparency, the impact of unethical data collection practices is less well understood. Currently, there is limited research on the factors that (...) affect users’ trust in data collection practices and algorithmic transparency. In this research, we explore the relative impact of both factors as they relate to important outcome measures such as user’s trust, comfort level, and moral acceptability. We conducted two pilot studies to learn what real users consider to be ethical and unethical data collection practices, as well as high and low transparency for algorithms. We then used these findings in a 2 × 2 design to examine how transparency and the acceptability of data collection practices impact users’ acceptance, comfort, and trust in algorithms. Our results suggest that the singular emphasis on algorithmic transparency may be misplaced. Given the difference in their impact to increase acceptance, trust, and user satisfaction, a more effective strategy would be to also understand and abide by users’ views of ethical data collection practices. (shrink)

Half a million species of plants could be existing in the world. Classification of plants based on leaf features is a critical job as feature extraction from binary images of leaves may result in duplicate identification. However, leaves are an effective means of differentiating plant species because of their unique characteristics like area, diameter, perimeter, circularity, aspect ratio, solidity, eccentricity, and narrow factor. This paper presents the extraction of plant leaf gas alongside other features from the camera images or a (...) dataset of images by applying a convolutional neural network. The extraction of leaf gas enables identification of the actual level of chlorophyll and nitrogen which may help to interpret future predictions. Our contribution includes the study of texture and geometric features, analyzing ratio of Ch and N in both healthy and dead leaves, and the study of color-based methods via CNN. Several steps are included to obtain the results: image preprocessing, testing, training, enhancement, segmentation, feature extraction, and aggregation of results. A vital contrast of the results can be seen by considering the kind of image, whether a healthy or dead leaf. (shrink)

In this essay, the authors analyze the COVID-19 pandemic from the perspective of inequalities and socio-economic vulnerabilities. We argue that the current pandemic has been looked at mainly through the lens of biology, leaving sociological blind spots in the response to this pandemic that have had adverse effects. We conclude with the suggestion that apart from recommendations from health sciences, policy makers must also take into account local societal structures in order to design effective policies to control the contagion.

This research investigates the factors that affect male gamers' behavioral intention to play PlayerUnknown's Battlegrounds, which is one of the most widely played online games of today's era. We examine the factors through the lens of the hedonic consumption model and use the gratification theory to predict behavioral intention to play PUBG. Data from 248 male PUBG gamers were analyzed using PLS-SEM analyses. The study involved an initial stage where an estimation model was analyzed to assess the constructs' reliability and (...) validity. Following this, the second stage involved assessing the theoretical model to test the relationship between the principle constructs. The study found that playful-consumption experience factors, such as escapism, emotional involvement, sensory experience, enjoyment, and arousal, significantly influenced the behavioral intentions to play PUBG. The research findings further indicate that role-projection and fantasy failed to impact consumers' intention to play PUBG. This study provides both theoretical and practical implications. It fills the literature gap by focusing on predicting the behavioral intention to play PUBG through the playful-consumption experiences of a popular online multiplayer game. Practically, this study could potentially open avenues for gaming companies to address how different playful-consumption experiences impact game users' behavioral intentions. (shrink)

Stakeholder pressure and public awareness of environmental protection drive organizations to improve environmental practices in the supply chain, such as green supply chain integration and green innovation. The use of information technology is crucial to manufacturing organizations’ GSCI and performance. However, the research on the relationship between IT capabilities, GSCI, GI and organizational performance is still limited. Therefore, empirical research is needed on the cognitive thinking of employees using IT capabilities to improve GSCI and organizational performance. The data for this (...) study comes from SC personnel in manufacturing organizations through a structured questionnaires and was analyzed by employing structural equation modeling. Based on the results, this paper concludes that organizational IT capabilities positively affect the GSCI and improve organizational performance. Furthermore, the study discovered that GI increases organizational performance and acts as a positive mediator in the link between GSCI and performance. The findings contribute to existing GSCI and GI knowledge, which can provide a bird’s eye-view to develop an organization’s IT capabilities to achieve competitive performance goals. (shrink)

Theory of networks serves as a mathematical foundation for the construction and modeling of chemical structures and complicated networks. In particular, chemical networking theory has a wide range of utilizations in the study of chemical structures, where examination and manipulation of chemical structural information are made feasible by utilizing the numerical graph invariants. A network invariant or a topological index is a numerical measure of a chemical compound which is capable to describe the chemical structural properties such as melting point, (...) freezing point, density, pressure, tension, and temperature of chemical compounds. Wiener initiated the first distance-based TI which is considered to be the most important TI to preserve the chemical and physical properties of chemical structures. Later on, degree-based TI was introduced to find the π -electron energy of molecules. Recently, connection number-based TIs are studied which are more efficient than degree and distance-based TIs. In this paper, we compute the connection number-based TIs of the structure of crystal cubic carbons which are one of the most significant and interesting composites in modern resources of science due to the involvement of carbon atoms. (shrink)

BackgroundInnovations in technology have contributed to rapid changes in the way that modern biomedical research is carried out. Researchers are increasingly required to endorse adaptive and flexible approaches to accommodate these innovations and comply with ethical, legal and regulatory requirements. This paper explores how Dynamic Consent may provide solutions to address challenges encountered when researchers invite individuals to participate in research and follow them up over time in a continuously changing environment.MethodsAn interdisciplinary workshop jointly organised by the University of Oxford (...) and the COST Action CHIP ME gathered clinicians, researchers, ethicists, lawyers, research participants and patient representatives to discuss experiences of using Dynamic Consent, and how such use may facilitate the conduct of specific research tasks. The data collected during the workshop were analysed using a content analysis approach.ResultsDynamic Consent can provide practical, sustainable and future-proof solutions to challenges related to participant recruitment, the attainment of informed consent, participant retention and consent management, and may bring economic efficiencies.ConclusionsDynamic Consent offers opportunities for ongoing communication between researchers and research participants that can positively impact research. Dynamic Consent supports inter-sector, cross-border approaches and large scale data-sharing. Whilst it is relatively easy to set up and maintain, its implementation will require that researchers re-consider their relationship with research participants and adopt new procedures. (shrink)

The connected and acyclic components contained in a network are identified by the computation of its complexity, where complexity of a network refers to the total number of spanning trees present within. The article in hand deals with the enumeration of the complexity of various networks’ operations such as sum, product, difference K 2, n ⊖ K 2, and the conjunction of S n with K 2. All our computations have been concluded by implementation of the methods of linear algebra (...) and matrix theory. Our derivations will also be highlighted with the assistance of 3D plots at the end of this article. (shrink)

A co-creation values consumers’ input as its primary crust in informing businesses on current consumer needs. More importantly, it would be the next shape in future demands of consumers in business sustainability. This paper addressed this context, narrowing its scope in investigating the voices of stakeholders on what would be the essential aspects of the present and future youth qualities in achieving sustainable well-being in the present trend. The findings would be essentially helpful for the youth and the business world (...) to understand the aspects of good youth development, which would shape the next fabric of consumerism. Self-potential development of the youth is vital in achieving excellent life quality and the youth’s well-being in Malaysia. However, the increase in challenges faced by today’s youth is inconsistent with a decline of the group’s well-being. There are various studies and interventions implemented to overcome the youth situation. However, there is still in need for a model that can guide the holistic development of youth self-potential. The purpose of this study is to build a sustainable and comprehensive model of the self-potential development of the youth, which can be integrated with all of the self-potential indicators of the youth via a co-creation process. This study used the Fuzzy Delphi Method on the proposed elements in the development model and systematically analyzed them using Interpretive Structural Modeling to create the development model. The method capitalized 10 stakeholders from various youth development backgrounds in developing the model. The model consists of 25 sub-indicators that are divided into five indicators. The model findings show that one of the most driving indicators is an entrepreneurial mindset among youth, followed by the other indicators of youth self-potential development. The model also shows that the civic-mindedness indicator is the output of youth self-potential that will surface at an end of the development. The model will guide the authorized body on the priority elements that can systematically and strategically improve youth self-potential to meet future challenges with youth aspirations. (shrink)

The study examines and theorizes the importance of strategic attribute constructs as applied to Pakistan’s banking sector by identifying their roles in enhancing organizational performance and the mediating effect of organizational commitment. The current study adopted quantitative research designs and methods to determine structural relationships between the proposed constructs. A total of 10 hypotheses were tested underpinned by the Resource-Based View of the Firm and Social Exchange theories. The strategic attributes studied were significantly and positively related to, and enhance, organizational (...) performance if the banks: focus on strategic positioning, fostering a strong organizational culture, strategize internal marketing practices, and boost organizational commitment. The findings supported the mediating role of organizational commitment between strategic attributes and organizational performance. This study contributes to existing literature and supports prior research while filling in gaps in the literature concerning developing countries. (shrink)

This research aims to identify the investor’s decision-making styles and their impact on entrepreneurial opportunities through the mediation role of entrepreneurial intention and moderation effect of social capital in the healthcare sector of Pakistan. This study applied a structural equation modeling to test the hypotheses on a sample of 400 healthcare investors. Our findings reveal that the conditional indirect relationship of entrepreneurial intention through social capital was significant on opportunity creation and an insignificant influence on opportunity discovery from decision-making styles. (...) This study provides implications for policymakers to enhance entrepreneurial opportunity creation by providing robust social environment investors and encouraging them to create business ventures in the healthcare sector. (shrink)

The prime objective of this study is to discuss the economic impact of the COVID-19 crisis concerning Pakistan and globally across South Asian developing countries. It also demonstrates those economic indicators through which the economic performance of the countries is influenced considering the prospective global economic costs of COVID-19 under different scenarios. The study systematically reviewed the literature on historical pandemic crises and the most recent Covid-19 fallout economic disorder in South Asian countries. Considering the history of human civilization, there (...) are varied instances of severe epidemics that are caused by numerous viruses. It is observed that the prevailing outbreak of COVID-19 has eventually affected large scale manufacturing, service sectors and arose supply side constraint to an extent. On the contrary, GDP and consumption declined sharply. Furthermore, sudden loss of service sector jobs and the rise in food prices have created an economic crisis for developing countries of South Asia. The study attempts to discuss the policy responses given by the World Bank, International Monetary Fund, Asian Development Bank, The State Bank of Pakistan, and the Ministry of finance, Pakistan encountered due to the deteriorating international environment, fiscal stress, and difficulties in financial liquidity markets and provides relevant policies for the better prospect of Pakistan's economy after comparing it with other South Asian countries affected by this pandemic vulnerabilities. (shrink)

The study aimed to identify the strategic sensitivity and its impact on enhancing the creative behavior of Palestinian NGOs in Gaza Strip, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations working in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals (298) questionnaires were retrieved, and the following results were reached: The relative weight of strategic sensitivity was 79.22 (...) (%), and the relative weight of creative behavior was 78.99 (%), a statistically significant relationship between all strategic sensitivity and creative behavior, and the presence of a sensitivity effect The strategy’s strategy on creative behavior, there are statistically significant differences in the scale dimensions attributable to the gender variable and the differences were in favor of females, there are no statistically significant differences between the averages of strategic sensitivity due to the age variable, and the educational qualification, and there were no statistically significant differences in creative behavior according to The gender variable, age, educational qualification, specialization, and the study presented a set of recommendations, the most important of which are: the need for civil organizations in Gaza Strip to seek funding from external countries in order to provide self-income for associations to face crises and give them independence Mechanism in order to keep them to carry out their role in society, the need to follow up the strategic plan of civil organizations using e-mails as they pave the way to reach excellence and creativity in the field of work. (shrink)

Sir Muhammad Iqbal, 1877-1938, Urdu poet and philosopher.

This study analyzed and explored the cognitive load of Australian energy market operators managing one of the longest inter-connected electrical networks in the world. Each operator uses a workstation with seven screens in an active control room environment, with a large coordination screen to show information and enable collaboration between different control centers. Cognitive load was assessed during both training scenarios and regular control room operations via the integration of subjective and physiological measures. Eye-tracking glasses were also used to analyze (...) the operators gaze behavior. Our results indicate that different events, different participants for the same session, and different periods of one session all have varying degrees of cognitive load. The system design was observed to be inefficient in some situations and to have an adverse affect on cognitive load. In critical situations for instance, operator collaboration was high and the coordination screen was used heavily when collaborating between two control centers, yet integration with the system could be improved. Eye tracking data analysis showed that the layout of applications across the seven screens was not optimal for many tasks. Improved layout strategies, potential combination of applications, redesigning of certain applications, and linked views are all recommended for further exploration in addition to improved integration of procedures and linking alarms to visual cues. (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)

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)

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)

Consistent discriminatory practices associated with dark and black skin color underpin the persistence of colorism and racism in the Indian subcontinent. To understand better how skin color ideologies occupy the mind of people with the effect of marginalizing those with dark skin color and promoting whiteness as a social capital, we will apply the paradigm of situated affectivity. The conceptual tools developed in this framework will help to see how the environmental structures that perpetuate colorism have a pervasive influence on (...) individuals’ values and their emotional repertoire from a very young age. After having documented how the minds of individuals are invaded with discriminatory colorist positions, we will present how people indulge in processes of _user-resource_ interactions assumed to help regulating their affect, that in turn, result in re-enforcing again colorist and racist ideologies and practices. (shrink)

Medrese, müslüman tarihinin geleneksel eğitim kurumları olarak tarihe geçmiş, Hint alt kıtasındaki İngiliz öncesi dönemde de bu işlevini sürdürmüştür. Tarihsel olarak medreseler sadece din alanında değil, aynı zamanda diğer alanlarda da toplumun ihtiyaç duyduğu insan gücünü karşılamıştır. Ancak Medrese müfredatı da dahil mevcut pek çok kurumun boyun eğmesine ve baskısına yol açan Biritanya emperyalizminin gelişi ile, medresenin toplumda oynadığı rolde yavaş yavaş bir düşüş yaşanmıştır. Medresenin (hem kurum hem de mezunları tarafından) karşı karşıya kaldığı bu varoluşsal krizin, Pakistan'ın kuruluşunda dini (...) Ulema ve Müslüman kitlelerin desteği ile sona ermesi beklenirken, Pakistan'daki modern eğitim sisteminin uyarlanması sadece mevcut problemi artırmıştır. Bu araştırma, medrese mezunlarının devlet ve toplumun refahına katkısını ortaya koymayı amaçlamaktadır. Sonuçlar, çok sayıda mezunun, Pakistan ve Dünya Bankası tarafından belirlenen asgari ücret ölçütlerinden bile daha az getirisi olan meslekleri yapmak zorunda kaldıklarını göstermektedir. Bu meslekler arasında şunlar bulunmaktadır: medrese öğretmenleri, imamlar, medreselerdeki memurlar, düşük dereceli gazetelerdeki yazarlar, küçük esnaf. (shrink)

Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality reduction of (...) data is carried out by applying two hidden layered stacked auto-encoder. Genetic Algorithm (GA) optimized detectors (Artificial Lymphocytes) are trained using Negative Selection Algorithm (NSA) for detection and classification of four motor movements. The trained detectors consist of four sets of detectors, each set is trained for detection and classification of one of the four movements from the other three movements. The optimized radius of detector is small enough not to mis-detect the sample. Euclidean distance of each detector with every training dataset sample is taken and compared with optimized radius of detector as a non-self detector. Our proposed approach achieved a mean classification accuracy of 86.39% for limb movements over 9 subjects with a maximum individual subject classification accuracy of 97.5 % for subject number eight. (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)

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)

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.

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)

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)

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

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)

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)