Healthcare professionals such as nurses faced a tough time during the pandemic. Despite the personal and professional challenges, they contributed immensely during the pandemic. However, there were variations in nurses’ work engagement during the pandemic. One reason could be their personality, especially neuroticism. Neuroticism represents individuals’ proneness to distress in stressful situations, such as COVID-19. Hence, understanding how and in which conditions neuroticism influences work engagement is crucial. We used the Job Demand-Resource model to test the association between neuroticism and (...) work engagement. As neuroticism represents the stress-proneness of an individual, we further investigated if stress mediates the neuroticism-work engagement link. For the nurses, patient interaction is an integral part of their job. Based on the data collected from the nurses, we tested if contact with patients alleviates the adverse effect of neuroticism on work engagement. During COVID-19, there was an intense need for nursing support. Hence, avoiding duty when society is looking for support might induce a fear of stigmatization among the nurses. We examined if the perceived stigma of duty avoidance would affect the neuroticism-engagement relationship. Our results indicated that higher patient contact alleviated the adverse effect of neuroticism on work engagement. On the other hand, higher fear of stigma exacerbated the adverse effect of neuroticism on work engagement. We further checked the combined effect of beneficiary contact and fear of stigma on neuroticism-work engagement relationships. The findings highlighted the importance of societal factors and policymakers in enhancing nurses’ work engagement. (shrink)

Social Thought in Indic Civilization presents an interdisciplinary perspective on the pre-colonial social thought. It draws on the methodologies and research traditions of history, political science and sociology to look at major themes and social processes to provide a comprehensive understanding of the society in the historical setting contextualized in the social and political relations of the time. The arguments, facts, themes and interpretations presented in the book are usually not found in the mainstream academic narratives. This book explores a (...) range of key themes such as non-violence in religious praxis; dharma in Indic social traditions; medicinal concepts and institutions; ideas and praxis of Shastrarth; knowledge traditions and institutions; music traditions; and Stritva in texts and praxis. This study highlights the impact of colonial rule on the 'construction of knowledge' from a Western (colonial) perspective and how it ignored the importance of Indian political thought of the pre-colonial period. (shrink)

We compute the model-theoretic Grothendieck ring, \\), of a dense linear order with or without end points, \\), as a structure of the signature \, and show that it is a quotient of the polynomial ring over \ generated by \\) by an ideal that encodes multiplicative relations of pairs of generators. This ring can be embedded in the polynomial ring over \ generated by \. As a corollary we obtain that a DLO satisfies the pigeon hole principle for definable (...) subsets and definable bijections between them—a property that is too strong for many structures. (shrink)

Much previous work has suggested that word order preferences across languages can be explained by the dependency distance minimization constraint (Ferrer‐i Cancho, 2008, 2015; Hawkins, 1994). Consistent with this claim, corpus studies have shown that the average distance between a head (e.g., verb) and its dependent (e.g., noun) tends to be short cross‐linguistically (Ferrer‐i Cancho, 2014; Futrell, Mahowald, & Gibson, 2015; Liu, Xu, & Liang, 2017). This implies that on average languages avoid inefficient or complex structures for simpler structures. But (...) a number of studies in psycholinguistics (Konieczny, 2000; Levy & Keller, 2013; Vasishth, Suckow, Lewis, & Kern, 2010) show that the comprehension system can adapt to the typological properties of a language, for example, verb‐final order, leading to more complex structures, for example, having longer linear distance between a head and its dependent. In this paper, we conduct a corpus study for a group of 38 languages, which were either Subject–Verb–Object (SVO) or Subject–Object–Verb (SOV), in order to investigate the role of word order typology in determining syntactic complexity. We present results aggregated across all dependency types, as well as for specific verbal (objects, indirect objects, and adjuncts) and nonverbal (nominal, adjectival, and adverbial) dependencies. The results suggest that dependency distance in a language is determined by the default word order of a language, and crucially, the direction of a dependency (whether the head precedes the dependent or follows it; e.g., whether the noun precedes the verb or follows it). Particularly we show that in SOV languages (e.g., Hindi, Korean) as well as SVO languages (e.g., English, Spanish), longer linear distance (measured as number of words) between head and dependent arises in structures when they mirror the default word order of the language. In addition to showing results on linear distance, we also investigate the influence of word order typology on hierarchical distance (HD; measured as number of heads between head and dependent). The results for HD are similar to that of linear distance. At the same time, in comparison to linear distance, the influence of adaptability on HD seems less strong. In particular, the results show that most languages tend to avoid greater structural depth. Together, these results show evidence for “limited adaptability” to the default word order preferences in a language. Our results support a large body of work in the processing literature that highlights the importance of linguistic exposure and its interaction with working memory constraints in determining sentence complexity. Our results also point to the possible role of other factors such as the morphological richness of a language and a multifactor account of sentence complexity remains a promising area for future investigation. (shrink)

In my research, I will try to study the notion of epistemic injustice by focusing on Miranda Fricker’s work in the area of epistemic injustice. Miranda Fricker talks about two forms of epistemic injustice which, she believes, are distinctively epistemic in nature. These two forms of epistemic injustice are testimonial injustice and hermeneutical injustice which help us to understand the epistemic injustice faced by an individual or a social group. So we can say that these two categories provide us with (...) the theoretical tools to formulate and theorize about distinct kinds of epistemic injustice, which can’t be easily formulated in Goldman’s VSE model1 and other models of social epistemology. (shrink)

: By examining evidence from India, where quotas for women in local government were introduced in 1993, this article argues that institutional reform can disturb hegemonic discourses sufficiently to open a window of opportunity where deliberative democratic norms take root and where, in addition to the politics of recognition, the politics of redistribution also operates.

By examining evidence from India, where quotas for women in local government were introduced in 1993, this article argues that institutional reform can disturb hegemonic discourses sufficiently to open a window of opportunity where deliberative democratic norms take root and where, in addition to the politics of recognition, the politics of redistribution also operates.

By examining evidence from India, where quotas for women in local government were introduced in 1993, this article argues that institutional reform can disturb hegemonic discourses sufficiently to open a window of opportunity where deliberative democratic norms take root and where, in addition to the politics of recognition, the politics of redistribution also operates.

Introduction: Electroconvulsive therapy is a commonly used brain stimulation treatment for treatment-resistant or severe depression. This study was planned to find the effects of ECT on brain connectivity by conducting a systematic review and coordinate-based meta-analysis of the studies performing resting state fMRI in patients with depression receiving ECT.Methods: We systematically searched the databases published up to July 31, 2020, for studies in patients having depression that compared resting-state functional connectivity before and after a course of pulse wave ECT. Meta-analysis (...) was performed using the activation likelihood estimation method after extracting details about coordinates, voxel size, and method for correction of multiple comparisons corresponding to the significant clusters and the respective rsFC analysis measure with its method of extraction.Results: Among 41 articles selected for full-text review, 31 articles were included in the systematic review. Among them, 13 articles were included in the meta-analysis, and a total of 73 foci of 21 experiments were examined using activation likelihood estimation in 10 sets. Using the cluster-level interference method, one voxel-wise analysis with the measure of amplitude of low frequency fluctuations and one seed-voxel analysis with the right hippocampus showed a significant reduction in the left cingulate gyrus and a significant increase in the right hippocampus with the right parahippocampal gyrus, respectively. Another analysis with the studies implementing network-wise resting state functional connectivity showed a significant increase in bilateral posterior cingulate cortex. There was considerable variability as well as a few key deficits in the preprocessing and analysis of the neuroimages and the reporting of results in the included studies. Due to lesser studies, we could not do further analysis to address the neuroimaging variability and subject-related differences.Conclusion: The brain regions noted in this meta-analysis are reasonably specific and distinguished, and they had significant changes in resting state functional connectivity after a course of ECT for depression. More studies with better neuroimaging standards should be conducted in the future to confirm these results in different subgroups of depression and with varied aspects of ECT. (shrink)

It is an old philosophical idea that if the future self is literally different from the current self, one should be less concerned with the death of the future self. This paper examines the relation between attitudes about death and the self among Hindus, Westerners, and three Buddhist populations. Compared with other groups, monastic Tibetans gave particularly strong denials of the continuity of self, across several measures. We predicted that the denial of self would be associated with a lower fear (...) of death and greater generosity toward others. To our surprise, we found the opposite. Monastic Tibetan Buddhists showed significantly greater fear of death than any other group. The monastics were also less generous than any other group about the prospect of giving up a slightly longer life in order to extend the life of another. (shrink)

Operational and financial sustainability have, over time, remained as issues in the microfinance industry. The microfinance industry is struggling to gain self-sufficiency in Pakistan due to non-performing loans and operating costs. Simultaneously, deliberation on corporate social responsibility is also considered in academic literature and organizational practices. However, studies on CSR and financial performance in the microfinance sector are scarce, especially in Pakistan. CSR will develop customer attraction and loyalty, employee attraction, motivation and commitment, MFIs' reputation and access to capital, and (...) eventually build financial performance. Interviews were conducted with branch managers of microfinance institutions to test previous questionnaires. A self-administered survey was conducted to collect data from the managers of the microfinance banks operating in Punjab. Descriptive and inferential statistics were performed to answer research questions using Smart PLS. Most of the microfinance institutions believe in social responsibilities but lacks fund allocation and approval from higher management, and results are in line with prior studies. These empirical findings lead to the perception that CSR is not a barrier performance in microfinance banks as they have access to capital. The results indicated a strong positive correlation between CSR and the financial performance of the MFIs. CSR also positively correlates with customer retention, employees' motivation and attraction, and business reputation. CSR was associated with access to capital but was found to be weak. The research also narrated the limitation and practical implications of the study. The study also discusses further research directions. (shrink)

In recent years there has been a number of promising technical and institutional developments regarding use of ontologies in industry. At the same time, however, most industrial ontology development work remains within the realm of academic research and is without significant uptake in commercial applications. In biomedicine, by contrast, ontologies have made significant inroads as valuable tools for achieving interoperability between data systems whose contents derive from widely heterogeneous sources. In this position paper, we present a set of principles learned (...) from the successful Open Biomedical Ontologies (OBO) Foundry initiative to guide the design and development of the Industrial Ontologies Foundry (IOF), which is a counterpart to the OBO Foundry initiative for the manufacturing industry. We also illustrate the potential utility of these principles by sketching the conceptual design of a framework for sustainable IOF development. (shrink)

The act of killing self contradicts the central purpose of human evolution, that is, survival and propagation of one’s genetic material. Yet, it continues to be one of the leading causes of human death. A handful of theories in the realm of evolutionary psychology have attempted to explain human suicide. The current article analyses the major components of certain prominent viewpoints, namely, Inclusive fitness, Bargaining model, Pain-Brain model, Psychological aposematism, and few other perspectives. The article argues that relatively more weightage (...) has been given to understanding ultimate (the “why”) rather than proximate (the “how”) functionality of suicidal acts. Evolutionary theorists have consistently pointed out that to comprehensively understand a trait or behavior, one needs to delineate not only how it supports survival but also the evolution of the mechanisms underlying the trait or behavior. Existing theories on suicide have primarily focused on its fitness benefits on surviving kin instead of providing evolutionary explanations of the more complex mechanisms leading up to such self-destructive motivations. Thus, the current paper attempts to highlight this gap in theorizing while suggesting probable proximate explanations of suicide which stresses the need to diffuse attention paid to fitness consequences of the act alone. We speculate that such explorations are needed in order to build a robust and comprehensive evolutionary theory of human suicide. (shrink)

This book discusses a variety of world views that we can find to describe human relationships with the environment, and the underlying values in them. It reviews existing international legal instruments discussing some of the ethical values that have been agreed among member states of the United Nations.

We created paired moral dilemmas with minimal contrasts in wording, a research strategy that has been advocated as a way to empirically establish principles operative in a domain‐specific moral psychology. However, the candidate “principles” we tested were not derived from work in moral philosophy, but rather from work in the areas of consumer choice and risk perception. Participants were paradoxically less likely to choose an action that sacrifices one life to save others when they were asked to provide more reasons (...) for doing so (Experiment 1), and their willingness to sacrifice lives depended not only on how many lives would be saved, but on the number of lives at risk (Experiment 2). The latter effect was also found in a within‐subjects design (Experiment 3). These findings suggest caution in the use of artificial dilemmas as a key testbed for revealing principled bases for moral judgment. (shrink)

This paper deals with the application of the metabolic control theory, especially the measurement of control coefficients, to the threonine pathway inE. coli. The control coefficient of a step on a metabolic flux quantitatively assesses the flux response to the step variations. This concept is particularly relevant both in pathological situations (decrease in the activity of an enzymatic step in the metabolism) and in biotechnologies, where, on the contrary steps are amplified.Measurement of the control coefficients of the steps of a (...) metabolic network makes it possible to know those whose amplification should lead to a simultaneous increase in the fluxes. (shrink)

Threonine is an essential amino acid for mammals and birds and an adequate supply is necessary for growth and maintenance. Its production has become the aim of metabolic bioengineering and genetic manipulations. We propose in this paper a rational approach for increasing threonine production in anE. coli strain based on metabolic control theory. We have derived a way to measure the control coefficients of threonine pathwayin vivo. The method consists in modelling the results of presteady-state experiments. Thein vivo concentrations and (...) activities of the enzymes can then be measured and introduced into the model, so that thein vivo steady-state of the pathway can be evaluated. With such a model it is possible to calculate the theoretical values of the control coefficients of the threonine synthesis fluxin vivo. (shrink)

The development of manufacturing technologies for new materials involves the generation of a large and continually evolving volume of information. The analysis, integration and management of such large volumes of data, typically stored in multiple independently developed databases, creates significant challenges for practitioners. There is a critical need especially for open-sharing of data pertaining to engineering design which together with effective decision support tools can enable innovation. We believe that ontology applied to engineering (OE) represents a viable strategy for the (...) alignment, reconciliation and integration of diverse and disparate data. The scope of OE includes: consistent capture of knowledge pertaining to the types of entities involved; facilitation of cooperation among diverse group of experts; more effective ongoing curation, and update of manufacturing data; collaborative design and knowledge reuse. As an illustrative case study we propose an ontology focused on the representation of composite materials focusing in particular on the class of Functionally Graded Materials (FGM) in particular. The scope of the ontology is to provide information about the components of such materials, the manufacturing processes involved in creation, and diversity of application ranging from additive manufacturing to restorative dentistry. The ontology is developed using Basic Formal Ontology (BFO) and the Ontology for Biomedical Investigations (OBI). (shrink)

Political debate regarding trans youth’s access to gender-affirming care (GAC) has pushed many to advocate for GAC by pointing to tragic, pathological outcomes of non-treatment, namely suicide. However, these pathologized arguments are a harmful ethical “shortcut” which should be replaced by a meaningful engagement with the ethics of providing GAC to youth.

Healthcare reforms in India have been a much-debated issue in the recent past. While the debate has focused mainly on the right to healthcare, another by-product that has evolved out of the debate was the current problem of medical malpractice and the healthcare law. The last decade has seen an increase in the healthcare facilities in the country. This, however, has come with a bulk of medical error cases which the courts have entertained. According to reports, there has been an (...) increase in medical litigation cases by 400% in the last decade. There are about 5.2 million cases of medical error in the country every year. While there exists a standard legal system in the country which entertains such complaints of medical malpractice, the attempt by regulators and medical practitioners should be to reduce these cases. This paper seeks to analyze the extent to which medical malpractice cases affect consumers. It analyzes the existing medical liability system which has mainly evolved through the jurisprudence laid down by the English courts and critiques it. It also looks into the major reasons for such medical mishaps. Authors argue that a “No-Fault” system may give better outcomes. They analyze this by looking at the no-fault liability model implemented in New Zealand. Narratives of no-fault liability being implemented in India have also been used. These are showcased from instances of Motor Vehicles Act, 1988, and Clinical Trial regulations. It is also argued that a by-product of a no-fault liability system is stringent regulations which are used to reduce the possibility of medical mishaps altogether. Lastly, the possible problems of the no-fault liability system are discussed in the paper. (shrink)

Deep learning models are powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However, this comes at the cost of involving a larger number of parameters requiring significantly more data for effective learning. This presents practical challenges given that most cognitive experiments involve relatively small numbers of subjects. Laboratory collaborations are a natural way to increase overall (...) dataset size. However, data sharing barriers between laboratories as necessitated by data protection regulations encourage the search for alternative methods to enable collaborative data science. Distributed learning, especially federated learning, which supports the preservation of data privacy, is a promising method for addressing this issue. To verify the reliability and feasibility of applying FL to train neural networks models used in the characterization of decision making, we conducted experiments on a real-world, many-labs data pool including experiment data-sets from ten independent studies. The performance of single models trained on single laboratory data-sets was poor. This unsurprising finding supports the need for laboratory collaboration to train more reliable models. To that end we evaluated four collaborative approaches. The first approach represents conventional centralized learning and is the optimal approach but requires complete sharing of data which we wish to avoid. The results however establish a benchmark for the other three approaches, federated learning, incremental learning, and cyclic incremental learning. We evaluate these approaches in terms of prediction accuracy and capacity to characterize human decision-making strategies. The FL-based model achieves performance most comparable to that of the CL-based model. This indicates that FL has value in scaling data science methods to data collected in computational modeling contexts when data sharing is not convenient, practical or permissible. (shrink)

The manufacturing industry is evolving rapidly, becoming more complex, more interconnected, and more geographically distributed. Competitive pressure and diversity of consumer demand are driving manufacturing companies to rely more and more on improved knowledge management practices. As a result, multiple software systems are being created to support the integration of data across the product life cycle. Unfortunately, these systems manifest a low degree of interoperability, and this creates problems, for instance when different enterprises or different branches of an enterprise interact. (...) Common ontologies (consensus-based controlled vocabularies) have proved themselves in various domains as a valuable tool for solving such problems. In this paper, we present a consensus-based Additive Manufacturing Ontology (AMO) and illustrate its application in promoting re-usability in the field of dentistry product manufacturing. (shrink)

Most psychological research consists of experiments that put people in artificial situations that elicit unnatural behavior whose ecological validity is unknown. Without knowing the psychocultural meaning of experimental situations, we cannot interpret the responses of WEIRD people, let alone people in other cultures. Psychology, like other sciences, needs to be solidly rooted in naturalistic observation and description of people around the world. Theory should be inductively developed and tested against real-world behavior.