In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...) domain of ncRNAs, thereby facilitating the discovery, curation, analysis, exchange, and reasoning of data about structures of ncRNAs, their molecular and cellular functions, and their impacts upon phenotypes. The goal of NCRO is to serve as a common resource for annotations of diverse research in a way that will significantly enhance integrative and comparative analysis of the myriad resources currently housed in disparate sources. It is our belief that the NCRO ontology can perform an important role in the comprehensive unification of ncRNA biology and, indeed, fill a critical gap in both the Open Biological and Biomedical Ontologies (OBO) Library and the National Center for Biomedical Ontology (NCBO) BioPortal. Our initial focus is on the ontological representation of small regulatory ncRNAs, which we see as the first step in providing a resource for the annotation of data about all forms of ncRNAs. (shrink)

Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data (...) analysis’, and ‘drawing a conclusion based on data’, cover the major types of statistical processes used in basic biological research and clinical outcome studies. OBCS is aligned with the Basic Formal Ontology (BFO) and extends the Ontology of Biomedical Investigations (OBI), an OBO (Open Biological and Biomedical Ontologies) Foundry ontology supported by over 20 research communities. We discuss two examples illustrating how the ontology is being applied. In the first (biological) use case, we describe how OBCS was applied to represent the high throughput microarray data analysis of immunological transcriptional profiles in human subjects vaccinated with an influenza vaccine. In the second (clinical outcomes) use case, we applied OBCS to represent the processing of electronic health care data to determine the associations between hospital staffing levels and patient mortality. Our case studies were designed to show how OBCS can be used for the consistent representation of statistical analysis pipelines under two different research paradigms. By representing statistics-related terms and their relations in a rigorous fashion, OBCS facilitates standard data analysis and integration, and supports reproducible biological and clinical research. (shrink)

A scarcity mindset is considered to impact consumer behaviors. Our research aimed to examine the moderating effect of the scarcity mindset on the relationship between mental accounting and hedonic (vs. utilitarian) consumption. We conducted an online experimental design (mental accounting: windfall gains vs. hard-earning gains; consumption: hedonic products vs. utilitarian products) and verified our hypotheses in two distinct samples: a student sample and an adult sample. Our results showed that consumers who received windfall gains tended to use it for hedonic (...) consumption rather than utilitarian consumption. Intriguingly, such an effect was insignificant under a high level of a scarcity mindset but significant under a low level of the scarcity mindset. Moreover, consumers who received hard-earning gains tended to spend the money on utilitarian (vs. hedonic) consumption. However, we did not detect the impact of the scarcity mindset on such effects. Our research suggested an asymmetric effect of the scarcity mindset on hedonic (vs. utilitarian) consumption under two different mental accounts. It highlights the important role of the scarcity mindset in consumer behaviors, which leaves avenues for future research to understand marketing promotion strategies for distinct products. (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

Driven by the use cases of PubChemRDF and SCAIView, we have developed a first community-based clinical trial ontology (CTO) by following the OBO Foundry principles. CTO uses the Basic Formal Ontology (BFO) as the top level ontology and reuses many terms from existing ontologies. CTO has also defined many clinical trial-specific terms. The general CTO design pattern is based on the PICO framework together with two applications. First, the PubChemRDF use case demonstrates how a drug Gleevec is linked to multiple (...) clinical trials investigating Gleevec’s related chemical compounds. Second, the SCAIView text mining engine shows how the use of CTO terms in its search algorithm can identify publications referring to COVID-19-related clinical trials. Future opportunities and challenges are discussed. (shrink)

A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data (...) relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term ‘adverse event’ denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data. (shrink)

Current COVID-19 pandemic and previous SARS/MERS outbreaks have caused a series of major crises to global public health. We must integrate the large and exponentially growing amount of heterogeneous coronavirus data to better understand coronaviruses and associated disease mechanisms, in the interest of developing effective and safe vaccines and drugs. Ontologies have emerged to play an important role in standard knowledge and data representation, integration, sharing, and analysis. We have initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO). (...) As an Open Biomedical Ontology (OBO) library ontology, CIDO is an open source and interoperable with other existing OBO ontologies. In this article, the general architecture and the design patterns of the CIDO are introduced, CIDO representation of coronaviruses, phenotypes, anti-coronavirus drugs and medical devices (e.g. ventilators) are illustrated, and an application of CIDO implemented to identify repurposable drug candidates for effective and safe COVID-19 treatment is presented. (shrink)

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to (...) existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource providing details on the people, policies, and issues being addressed in association with OBI. (shrink)

Research has indicated that microRNAs (miRNAs), a special class of non-coding RNAs (ncRNAs), can perform important roles in different biological and pathological processes. miRNAs’ functions are realized by regulating their respective target genes (targets). It is thus critical to identify and analyze miRNA-target interactions for a better understanding and delineation of miRNAs’ functions. However, conventional knowledge discovery and acquisition methods have many limitations. Fortunately, semantic technologies that are based on domain ontologies can render great assistance in this regard. In our (...) previous investigations, we developed a miRNA domain-specific application ontology, Ontology for MIcroRNA Target (OMIT), to provide the community with common data elements and data exchange standards in the miRNA research. This paper describes (1) our continuing efforts in the OMIT ontology development and (2) the application of the OMIT to enable a semantic approach for knowledge capture of miRNA-target interactions. (shrink)

Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of (...) large amounts of ncRNA biological and clinical data. (shrink)

Identification of non-coding RNAs (ncRNAs) has been significantly enhanced due to the rapid advancement in sequencing technologies. On the other hand, semantic annotation of ncRNA data lag behind their identification, and there is a great need to effectively integrate discovery from relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a precisely defined ncRNA controlled vocabulary, which can fill a specific and highly needed niche in unification of ncRNA biology.

Statistics play a critical role in biological and clinical research. To promote logically consistent representation and classification of statistical entities, we have developed the Ontology of Biological and Clinical Statistics (OBCS). OBCS extends the Ontology of Biomedical Investigations (OBI), an OBO Foundry ontology supported by some 20 communities. Currently, OBCS contains 686 terms, including 381 classes imported from OBI and 147 classes specific to OBCS. The goal of this paper is to present OBCS for community critique and to describe a (...) number of use cases designed to illustrate its potential applications. The OBCS project and source code are available at http://obcs.googlecode.com. (shrink)

Metaphysical rationalism, the doctrine which affirms the Principle of Sufficient Reason (the PSR), is out of favor today. The best argument against it is that it appears to lead to necessitarianism, the claim that all truths are necessarily true. Whatever the intuitive appeal of the PSR, the intuitive appeal of the claim that things could have been otherwise is greater. This problem did not go unnoticed by the great metaphysical rationalists Spinoza and Leibniz. Spinoza’s response was to embrace necessitarianism. Leibniz’s (...) response was to argue that, despite appearances, rationalism does not lead to necessitarianism. This paper examines the debate between these two rationalists and concludes that Leibniz has persuasive grounds for his opinion. This has significant implications both for the plausibility of the PSR and for our understanding of modality. (shrink)

This article reviews and develops an epistemological tradition in philosophy of science, called convergentism, which holds that inference methods should be assessed in terms of their abilities to converge to the truth. This tradition is compared with three competing ones: (1) explanationism, which holds that theory choice should be guided by a theory's overall balance of explanatory virtues, such as simplicity and fit with data; (2) instrumentalism, according to which scientific inference should be driven by the goal of obtaining useful (...) models, rather than true theories; (3) Bayesianism, which features a shift of focus from all-or-nothing beliefs to degrees of belief. (shrink)

This paper presents an original dialectical logic symbol system designed to transcend the limitations of traditional logical symbols in capturing subjectivity, qualitative aspects, and contradictions inherent in the human mind. By introducing new symbols, such as “ὄ” (being) and “⌀” (nothing), and arranging them based on principles of symmetry, the system’s operations capture complex dialectical relationships essential to both Hegelian philosophy and Buddhist thought. The operations of this system are primarily structured around the categories found in Hegel’s Logic, and it (...) allows users to incorporate their own subjectivity into the logical processes, opening up new possibilities in the philosophy of subjectivity. This symbol system also has the potential to help us explore fundamental questions of language and to precisely describe processes of consciousness transformation through symbols. This form of logic offers a new, irreducible tool for qualitative methods, and it will spark a new philosophical reflection on its relationship with traditional logic and mathematical symbols. (shrink)

While I find Huaping Lu-Adler’s excavation of Kant’s long-overlooked linguistic Orientalism both enlightening and thought-provoking, I disagree with her diagnosis of its theoretical and practical relevance. On the one hand, while I agree that Kant’s positionality renders all his writings and teachings presumptively impactful, there is reason to doubt that his peculiar construction of the linguistic Oriental Other had much actual impact on his disciples. On the other hand, while I agree that the Kantian ideal of public reason is inapt (...) for rectifying the linguistic-epistemic injustices of global knowledge production, I disagree on why it is so. In particular, I argue for a shift in theoretical and practical focuses, from linguistic biases and prejudices, to the structural epistemic constraints of linguistic diversity, as well as to other political-structural conditions shaping global knowledge production. (shrink)

The call to make artificial intelligence (AI) more democratic, or to “democratize AI,” is sometimes framed as a promising response for mitigating algorithmic injustice or making AI more aligned with social justice. However, the notion of “democratizing AI” is elusive, as the phrase has been associated with multiple meanings and practices, and the extent to which it may help mitigate algorithmic injustice is still underexplored. In this paper, based on a socio-technical understanding of algorithmic injustice, I examine three notable notions (...) of democratizing AI and their associated measures—democratizing AI use, democratizing AI development, and democratizing AI governance—regarding their respective prospects and limits in response to algorithmic injustice. My examinations reveal that while some versions of democratizing AI bear the prospect of mitigating the concern of algorithmic injustice, others are somewhat limited and might even function to perpetuate unjust power hierarchies. This analysis thus urges a more fine-grained discussion on how to democratize AI and suggests that closer scrutiny of the power dynamics embedded in the socio-technical structure can help guide such explorations. (shrink)

Cover Date: July 2006.Source Info: 115(3), 317-354. Language: English. Journal Announcement: 41-2. Subject: ACTION; CAUSATION; METAPHYSICS; REPRESENTATION; TELEOLOGY. Subject Person: SPINOZA, BENEDICT DE (BARUCH). Update Code: 20130315.

The desire-satisfaction theory of welfare says that what is basically good for a subject is the satisfaction of his desires. One challenge to this view is the existence of quirky desires, such as a desire to count blades of grass. It is hard to see why anyone would desire such things, and thus hard to believe that the satisfaction of such desires could be basically good for anyone. This suggests that only some desires are basically good when satisfied, and that (...) desire satisfactionists owe us an account of which desires these are, and why. In "Quirky Desires and Well-Being," Donald Bruckner proposes such an account: a desire is welfare-relevant (i.e., such that its satisfaction would be basically good for its subject) if and only if and because its subject could describe its object in a way that makes it comprehensible what about the object attracts him or appeals to him. We are inclined to view quirky desires as welfare-irrelevant because we assume that their objects cannot be described in such a way. But if there were a quirky desire whose object could be so described by the subject whose desire it is, then this desire would be relevant to that subject's welfare. I will argue that while Bruckner's view delivers plausible verdicts about the cases to which it is meant to apply, its account of what makes a desire welfare-relevant is unmotivated and implausible. Desire satisfactionists can retain what is plausible about his view while endorsing a better explanation of why welfare-relevant desires have that status if they accept the following account instead: a desire is welfare-relevant if and only if and because something about its object attracts, or appeals to, the subject who has the desire. (shrink)

This paper calls for a paradigm shift in studying academic dependency, towards the paradigm of brokered dependency. Using Chinese academia as an example, I demonstrate how the neocolonial condition of academic dependency is always mediated through blockage-brokerage mechanisms. The two most salient blockage-brokerage mechanisms of dependency in the Chinese context are linguistic barrier and authoritarian malepistemization, and the effects of the latter consist of three layers: institutional, informational and incorporational. On top of their domestic impacts, those mechanisms jointly exacerbate spectacularized (...) postcoloniality in anglophone-hegemonic global academic publishing. The paradigm of brokered dependency not only represents a more nuanced approach to the study of academic dependency, but also underscores the fact that the dismantling of the neocolonial condition cannot be conceived and pursued in isolation from comprehending and confronting the authoritarian condition, especially when the latter pertains under the disguise of anticolonialism. (shrink)

: Perhaps the central problem which preoccupies Spinoza as a moral philosopher is the conflict between reason and passion. He belongs to a long tradition that sees the key to happiness and virtue as mastery and control by reason over the passions. This mastery, however, is hard won, as the passions often overwhelm its power and subvert its rule. When reason succumbs to passion, we act against our better judgment. Such action is often termed 'akratic'. Many commentators have complained that (...) the psychological principles that Spinoza appeals to in his account of akrasia are mere ad hoc modifications to his philosophical psychology. I show, on the contrary, that these principles follow from some of the most important and interesting aspects of Spinoza's philosophy of mind. (shrink)

Incremental implicit theories are associated with a belief regarding it is possible to improve one’s intelligence or ability through efforts. Previous studies have demonstrated that incremental implicit theories contributed to better academic achievement and positive youth development. Our study aimed to examine whether incremental implicit theories of morality significantly influenced change in students’ engagement in voluntary service activities. In our study, 54 Korean college students for Study 1 and 180 Korean 8th graders for Study 2 were recruited to conduct two (...) two-wave studies. We surveyed participants’ implicit theories of morality and participation in voluntary service activities. The effect of implicit theories of morality on change in service engagement was analyzed through regression analysis. In Study 1, the moral growth mindset significantly moderated longitudinal change in service engagement. In Study 2, the moral growth mindset significantly influenced engagement in art-related activities, while it significantly moderated change in engagement in youth-related activities. (shrink)

Emotion is an important issue in Wittgenstein’s philosophy of psychology, yet the literature on this topic is quite small. Wittgenstein’s philosophical investigation is a grammatical one, and he tries to dissolve philosophical problems by using many philosophical methods. In this paper I examine the grammatical rules for some emotion words and the methods he employs in dealing with the philosophical problem of emotion. To facilitate this examination, I first analyze Wittgenstein’s treatment of the problem of sudden understanding, where the grammar (...) and methods are easier to comprehend. I will then show that the grammar and methods used by Wittgenstein in the cases of sudden understanding and emotion are rather similar. (shrink)

In this article, I attempt to clarify all terms related to causality within Buddhist teachings and make the following bold claims: 1. ‘cause.’” 2. “The mere doctrinal explanation of Dependent Origination does not define “The sequence of ‘consciousness, contact, feeling, perception, and thought’ is based on the meaning of ‘accumulation’ (集) as aggregation, rather than being the true sequence of Dependent Origination.” 3. “Therefore, we have the terms ‘contact with ignorance’ (無明觸) and ‘contact with wisdom’ (明觸).”.

The 2021 Nobel Prize in Economics recognizes a type of causal model known as the Rubin causal model, or potential outcome framework, which deserves far more attention from philosophers than it currently receives. To spark philosophers' interest, I develop a dialectic connecting the Rubin causal model to the Lewis-Stalnaker debate on a logical principle of counterfactuals: Conditional Excluded Middle (CEM). I begin by playing good cop for CEM, developing a new argument in its favor---a Quine-Putnam-style indispensability argument. This argument is (...) based on the observation that CEM seems to be indispensable to the Rubin causal model, which underpins our best scientific theory of causal inference in health and social sciences---a Nobel Prize-winning theory. Indeed, CEM has long remained a core assumption of the Rubin causal model, despite challenges from within the statistics and economics communities over twenty years ago. I then switch sides to play bad cop for CEM, undermining the indispensability argument by developing a new theory of causal inference that dispenses with CEM while preserving the successes of the original theory (thanks to a new theorem proved here). The key, somewhat surprisingly, is to integrate two approaches to causal modeling: the Rubin causal model, more familiar in health and social sciences, and the causal Bayes net, more familiar in philosophy. The good cop/bad cop dialectic is concluded with a connection to broader philosophical issues, including intertheory relations, the revisability of logic, and the role of background assumptions in justifying scientific inference. (shrink)

The article will be divided into three parts: 1. Explain the literary origins of the nesting pattern and its relationship to cinema narrative, and analyse the nesting tactics commonly used in films under Hollywood’s classical narrative. 2. Describe the variations in nested structures in films made in the 1990s, focusing on self-reflexive nesting, which emerged as a new model beyond conventional nesting during this period. 3. Distinguish the literary style of embedded narratives from the visual recognition mode and provide an (...) example of how the latter is used in films to create impossible puzzles. (shrink)

We evaluated the reliability, validity, and differential item functioning (DIF) of a shorter version of the Defining Issues Test-1 (DIT-1), the behavioral DIT (bDIT), measuring the development of moral reasoning. 353 college students (81 males, 271 females, 1 not reported; age M = 18.64 years, SD = 1.20 years) who were taking introductory psychology classes at a public University in a suburb area in the Southern United States participated in the present study. First, we examined the reliability of the bDIT (...) using Cronbach’s α and its concurrent validity with the original DIT-1 using disattenuated correlation. Second, we compared the test duration between the two measures. Third, we tested the DIF of each question between males and females. Findings reported that first, the bDIT showed acceptable reliability and good concurrent validity. Second, the test duration could be significantly shortened by employing the bDIT. Third, DIF results indicated that the bDIT items did not favour any gender. Practical implications of the present study based on the reported findings are discussed. (shrink)

Low-carbon agriculture is essential for protecting the global climate and sustainable agricultural economics. Since China is a predominantly agricultural country, the adoption of low-carbon agricultural technologies by local farmers is crucial. The past literature on low-carbon technologies has highlighted the influence of demographic, economic, and environmental factors, while the psychological factors have been underexplored. A questionnaire-based approach was used to assess the psychological process underlying the adoption of low-carbon agricultural technologies by 1,114 Chinese rice farmers in this paper, and structural (...) equation modeling (SEM) was empirically employed to test our theoretical model. (shrink)

Introduction The Defining Issues Test (DIT) aimed to measure one’s moral judgment development in terms of moral reasoning. The Neo-Kohlbergian approach, which is an elaboration of Kohlbergian theory, focuses on the continuous development of postconventional moral reasoning, which constitutes the theoretical basis of the DIT. However, very few studies have directly tested the internal structure of the DIT, which would indicate its construct validity. Objectives Using the DIT-2, a later revision of the DIT, we examined whether a bi-factor model or (...) 3-factor CFA model showed a better model fit. The Neo-Kohlbergian theory of moral judgment development, which constitutes the theoretical basis for the DIT-2, proposes that moral judgment development occurs continuously and that it can be better explained with a soft-stage model. Given these assertions, we assumed that the bi-factor model, which considers the Schema-General Moral Judgment (SGMJ), might be more consistent with Neo-Kohlbergian theory. Methods We analyzed a large dataset collected from undergraduate students. We performed confirmatory factor analysis (CFA) via weighted least squares. A 3-factor CFA based on the DIT-2 manual and a bi-factor model were compared for model fit. The three factors in the 3-factor CFA were labeled as moral development schemas in Neo-Kohlbergian theory (i.e., personal interests, maintaining norms, and postconventional schemas). The bi-factor model included the SGMJ in addition to the three factors. Results In general, the bi-factor model showed a better model fit compared with the 3-factor CFA model although both models reported acceptable model fit indices. Conclusion We found that the DIT-2 scale is a valid measure of the internal structure of moral reasoning development using both CFA and bi-factor models. In addition, we conclude that the soft-stage model, posited by the Neo-Kohlbergian approach to moral judgment development, can be better supported with the bi-factor model that was tested in the present study. (shrink)

Recent studies have demonstrated neural overlap between resting state activity and self-referential processing. This “rest-self” overlap occurs especially in anterior cortical midline structures like the perigenual anterior cingulate cortex (PACC). However, the exact neurotemporal and biochemical mechanisms remain to be identified. Therefore, we conducted a combined electroencephalography (EEG)-magnetic resonance spectroscopy (MRS) study. EEG focused on pre-stimulus (e.g., prior to stimulus presentation or perception) power changes to assess the degree to which those changes can predict subjects’ perception (and judgment) of subsequent (...) stimuli as high or low self-related. MRS measured resting state concentration of glutamate, focusing on PACC. High pre-stimulus (e.g., prior to stimulus presentation or perception) alpha power significantly correlated with both perception of stimuli judged to be highly self-related and with resting state glutamate concentrations in the PACC. In sum, our results show (i) pre-stimulus (e.g., prior to stimulus presentation or perception) alpha power and resting state glutamate concentration to mediate rest-self overlap that (ii) dispose or incline subjects to assign high degrees of self-relatedness to perceptual stimuli. (shrink)

Forgiveness is mostly seen as a virtuous human response to wrongful conduct. But what happens when there is no acknowledgement of wrongdoing on the part of the wrongdoer? Does the forgiveness of the unrepentant still count as forgiveness? The Fourteenth Dalai Lama, for instance, is a figure who highly promotes the value of forgiveness. His homeland has been occupied by China since 1950, yet he maintains that he forgives and feels no enmity towards the Chinese government. The Chinese authorities, for (...) their part, have never admitted to wrongful invasion of the ‘roof of the world’, hence there has been no acceptance of the Dalai Lama’s forgiveness. Can the Dalai Lama’s forgiving under these circumstances, however, still be seen as forgiveness? In the present contribution, I shed light on the Buddhist view on forgiveness in the hope of inspiring ideas that might contribute to the pursuit of peace. Firstly, I explore certain matters surrounding the general idea of forgiveness and subsequently introduce Buddhist perspectives. Secondly, I respond to the key question of this paper by highlighting the Dalai Lama’s views as a means to elaborate on the Buddhist stance. I conclude by comparing Buddhist points of view with some contemporary philosophical perspectives and illustrating some distinguishing features of the Buddhist notion of forgiveness. From the above, I endeavour to establish that the Buddhist take on forgiveness is ultimately unconditional. (shrink)

Temporal Changes in Ovarian Gonadotropin-Releasing Hormone mRNA Levels by Gonadotropins in the Rat Sung Ho Lee, Eun-Seob Song, Sun Kyeong Yu, Changmee Kim, Dae Kee Lee, Wan Sung Choi l and Kyungjin Kim* Department of Molecular Biofogy and SRC for Cell Differentiation, Seoul National University, Seoul 150-742, Korea; IDepartment of Anatomy, College of Medicine, Gyeongsanf; National University, Chinju 660-280, Korea (Recei·. cd on December 29, 1993) The present study examines whether gonadotropins are involved in the regulation of ovarian GnRH gene (...) expression and how ovarian GnRH gene expression temporalJy correlates with alterations in hypothalamic GnRH, pituitary LH~ gene expression in respons to gonadotropins. Hypothalamic and ovarian GnRH mRNA and pituitary LH~ mRNA levels were determined by respective RNA-blot hybridizations, and ovarian GnRH and estradiol contents and serum LH levels were measured by respective radioimmunoassays. Three animal models such as 1) PMSG-treated, 2) PMSG and heG-treated immature rats and 3) proestrous stage of adult rats were used. Immature rats (25-days old) were administered with PMSG (10 iu) at 10:00 hand 48 h later with heG (10 iu) to induce ovulation. In the PMSG-injected model, hypothalamic GnRH mRNA levels were markedly augmented about 9-fold at 50 h, and pituitary LH mRNA 3-fold at 52 h after PMSG administration. Serum LH levels were increased to the preovulatory surge levels at 56 h, and ovarian GnRH mRNA levels were augmented 4-fold at 60 h after PMSG injection. Administration of heG also induced a marked enhancement in ovarian GnRH mRNA levels in comparison to the values shown in both intact and PMSGtreated rats at 52 hand 54 h, respectively. In the proestrous stage of normal adult rats, pituitary LH~ mRNA levels were peaked at 16:00 h. The preovulatory LH surge was evident at 4 h before increment in ovarian GnRH mRNA levels as shown in PMSG-treated rats. The present study clearly showed the sequential increase in hypothalamic GnRH mRNA, pituitary LH~ mRNA and ovarian GnRH mRNA levels, indicating that ovarian GnRH may play a possible role in the control of follicular maturation and the ovulation process. (shrink)

Machery et al. presented data suggesting the existence of cross-cultural variation in judgments about the reference of proper names. In this paper, we examine a previously overlooked confound in the subsequent studies that attempt to replicate the results of Machery et al. using East Asian languages. Machery et al. and Sytsma et al. claim that they have successfully replicated the original finding with probes written in Chinese and Japanese, respectively. These studies, however, crucially rely on uses of articleless, ‘bare noun (...) phrases’ in Chinese and Japanese, which according to the linguistic literature are known to be multiply ambiguous. We argue that it becomes questionable whether the extant studies using East Asian languages revealed genuine cross-cultural variation when the probes are reevaluated based on a proper linguistic understanding of Chinese and Japanese bare noun phrases and English definite descriptions. We also present two experiments on native Japanese speakers that controlled the use of ambiguous bare noun phrases, the results of which suggest that the judgments of Japanese speakers concerning the reference of proper names may not diverge from those of English speakers. (shrink)

The rapid proliferation of artificial intelligence (AI) technologies has ushered in a new era of opportunities and challenges, prompting nations to grapple with the concept of AI sovereignty. This article delves into the definition and implications of AI sovereignty, drawing parallels to the well-established notion of cyber sovereignty. By exploring the connotations of AI sovereignty, including control over AI development, data sovereignty, economic impacts, national security considerations, and ethical and cultural dimensions, the article provides a comprehensive understanding of this emerging (...) paradigm. The potential controversies surrounding AI sovereignty, such as the tension between national interests and global cooperation, technological protectionism, human rights and privacy issues, and the risk of exacerbating global inequalities, are critically examined. To navigate these complexities and facilitate responsible AI governance, the article proposes a multifaceted international governance framework. Key recommendations include fostering multilateral cooperation and standards-setting, implementing transparency and accountability measures, establishing ethical guidelines and human rights protections, developing mechanisms for technology transfer and capacity building, and instituting robust dispute resolution and enforcement protocols. Ultimately, this article underscores the need for a balanced and collaborative approach to AI governance that aligns technological advancement with ethical integrity and global solidarity. (shrink)

Esse artigo pretende investigar a ideia de “conversão substancial” apresentada por Tomás de Aquino em sua teoria sobre a transubstanciação na Suma Teológica III, q.75.Busca-se aqui reconhecer o caráter heterodoxo desta conversão em relação às demais no ordinário quadro conceitual apresentado por Tomás, de cunho aristotélico. Conforme se verá, a ideia de conversão presente no âmbito da metafísica do Estagirita diz respeito à geração e corrupção, na qual está suposta a noção de forma. Ao contrário, na possibilidade da ideia de (...) conversão substancial, tem-se um outro cenário,inexplorado pelo Corpus Aristotélico, em que uma substância se torna outra por completo, tendo-se uma conversão total. Nesse sentido, almeja-se apresentar, em primeiro lugar, o contexto histórico e teológico das discussões sobre a transubstanciação. Em seguida, buscar-se-á mostrar o paradigma aristotélico das conversões naturais, assumido por Tomás no ambiente ordinário da natureza. Por fim,será mostrado em que consiste a conversão substancial com mais detalhes, tendo por base a argumentação filosófica que Aquino faz, buscando identificar a relevância metafísica dessa possibilidade para situar filosoficamente o fenômeno milagroso ocorrido no sacramento da Eucaristia. (shrink)

The paper explores the influence of greenwash on green trust and discusses the mediation roles of green consumer confusion and green perceived risk. The research object of this study focuses on Taiwanese consumers who have the purchase experience of information and electronics products in Taiwan. This research employs an empirical study by means of the structural equation modeling. The results show that greenwash is negatively related to green trust. Therefore, this study suggests that companies must reduce their greenwash behaviors to (...) enhance their consumers’ green trust. In addition, this study finds out that green consumer confusion and green perceived risk mediate the negative relationship between greenwash and green trust. The results also demonstrate that greenwash is positively associated with green consumer confusion and green perceived risk which would negatively affect green trust. It means that greenwash does not only negatively affect green trust directly but also negatively influence it via green consumer confusion and green perceived risk indirectly. Hence, if companies would like to reduce the negative relationship between greenwash and green trust, they need to decrease their consumers’ green consumer confusion and green perceived risk. (shrink)

This article, “From Iron to AI: The Evolution of the Sources of State Power,” examines the progression of fundamental resources that have historically underpinned state power, from tangible assets like land and iron to modern advancements in artificial intelligence (AI). It traces the development of state power through three significant eras: the ancient period characterized by land, population, horses, and iron; the industrial era marked by railroads, coal, and electricity; and the contemporary digital age dominated by the Internet and emerging (...) technologies. Focusing on AI, the article explores its similarities and differences compared to previous sources of power, highlighting its transformative nature, potential for new industries, and unique challenges related to intellectual resources, rapid advancements, and global interconnectedness. The impact of AI on state power is analyzed through economic competitiveness, military capabilities, governance, ethical and social implications, and geopolitical shifts. (shrink)

In the rapidly evolving landscape of artificial intelligence (AI), disparities in access and benefits are becoming increasingly apparent, leading to the emergence of an AI divide. This divide not only amplifies existing socio-economic inequalities but also fosters the creation of AI caste systems, where marginalized groups—referred to as AI Dalits—are systematically excluded from AI advancements. This article explores the definitions and contributing factors of the AI divide and delves into the concept of AI caste systems, illustrating how they perpetuate inequality. (...) Furthermore, it proposes comprehensive strategies for bridging this divide through inclusive and equitable approaches. Key strategies include promoting equal access to AI education and resources, enhancing diversity and representation in AI development, implementing fair and transparent AI policies, promoting public awareness and engagement, and empowering AI Dalits through targeted initiatives. By championing an "All in AI" and "AI for All" paradigm, this paper envisions an inclusive future where the benefits of AI are universally shared, ensuring that no group is left behind in the AI-driven world. (shrink)

For more than two decades, police in the United States have used facial recognition to surveil civilians. Local police departments deploy facial recognition technology to identify protestors’ faces while federal law enforcement agencies quietly amass driver’s license and social media photos to build databases containing billions of faces. Yet, despite the widespread use of facial recognition in law enforcement, there are neither federal laws governing the deployment of this technology nor regulations settings standards with respect to its development. To make (...) matters worse, the Fourth Amendment—intended to limit police power and enacted to protect against unreasonable searches—has struggled to rein in new surveillance technologies since its inception. -/- This Article examines the Supreme Court’s Fourth Amendment jurisprudence leading up to Carpenter v. United States and suggests that the Court is reinterpreting the amendment for the digital age. Still, the too-slow expansion of privacy protections raises challenging questions about racial bias, the legitimacy of police power, and ethical issues in artificial intelligence design. This Article proposes the development of an algorithmic auditing and accountability market that not only sets standards for AI development and limitations on governmental use of facial recognition but encourages collaboration between public interest technologists and regulators. Beyond the necessary changes to the technological and legal landscape, the current system of policing must also be reevaluated if hard-won civil liberties are to endure. (shrink)

The development of cognitive neuroscience allows scientists to locate areas of brain activity corresponding to consciousness activities through advanced technology. The philosophical basis of cognitive neuroscience is physicalism, which reduces the activity of consciousness into the product of biological brain activity, but there are many drawbacks to this strong physicalism reductionism. Mind-brain identity theory in neuroscience and the computational doctrine in cognitive science show that the theory of physical reductionism can never explain the causal relationship between mental properties and physical (...) properties and physicalism contains the tendency of dualism. In addition, dualism combines with materialism to develop a new dualism of naturalistic tendencies and gain new opportunities for development. It is further demonstrated that the rationality of dualism and mental state cannot be wholly reduced to a physical state. (shrink)

The debate between scientific realism and anti-realism remains at a stalemate, with reconciliation seeming hopeless. Yet, there is work to be done in navigating this impasse: to seek a common ground, even if only to isolate deeper points of disagreement. This common ground I propose is founded on the idea that everyone loves some truths, and benefits both sides of the debate. More specifically, many anti-realists, such as instrumentalists, have yet to seriously engage with Sober's call to justify their preferred (...) version of Ockham's razor through a positive epistemology; meanwhile, realists face a similar challenge, lacking a non-circular explanation of how their version of Ockham's razor connects to truth. The common ground I propose helps address these issues for both parties, drawing insights from fields that study scientific inference: statistics and machine learning. The common ground I propose also helps isolate a distinctively epistemic root of the irreconcilability of the realism debate. (shrink)

According to Donald Davidson, an akratic action is opposed to the agent’s better judgment if the agent act freely and intentionally. Davidson says akratic actions are possible and all akratic actions are irrational. However, although akratic actions are possible, akratic actions could be rational. The reasons are that some of these actions are rational; these rational akratic actions are caused by some emotions sometimes, while some emotions cannot make akratic actions rational, including excessive negative emotions, recalcitrant emotions, etc. Therefore, it (...) is reasonable to explain akratic actions caused by these emotions and these emotions not play a rational role in akratic actions. (shrink)