In this document, we describe the concepts of ideal semantics and stage semantics for abstract argumentation in terms of argument labellings. The difference between the traditional extensions approach and the labelling approach is that where the former only identifies the sets of accepted arguments, the latter also identifies the rejected arguments as well as the arguments that are neither accepted nor rejected. So far, the labellings approach has been successfully applied to complete, grounded, preferred, stable and (...) semi-stable semantics, as well as to the concept of admissibility. In the current paper, we continue this line of research by showing that ideal semantics and stage semantics can also be described in terms of argument labellings. (shrink)

‘Vulnerability’ is a key concept used to understand the ethical implications of conducting refugee-focused research. This case study illustrates the need to follow Luna’s call for a shift fr...

A substantial body of experimental evidence has demonstrated that labels have an impact on infant categorization processes. Yet little is known regarding the nature of the mechanisms by which this effect is achieved. We distinguish between two competing accounts: supervised name‐based categorization and unsupervised feature‐based categorization. We describe a neurocomputational model of infant visual categorization, based on self‐organizing maps, that implements the unsupervised feature‐based approach. The model successfully reproduces experiments demonstrating the impact of labeling on infant visual categorization reported (...) in Plunkett, Hu, and Cohen (2008). It mimics infant behavior in both the familiarization and testing phases of the procedure, using a training regime that involves only single presentations of each stimulus and using just 24 participant networks per experiment. The model predicts that the observed behavior in infants is due to a transient form of learning that might lead to the emergence of hierarchically organized categorical structure and that the impact of labels on categorization is influenced by the perceived similarity and the sequence in which the objects are presented. The results suggest that early in development, say before 12 months old, labels need not act as invitations to form categories nor highlight the commonalities between objects, but they may play a more mundane but nevertheless powerful role as additional features that are processed in the same fashion as other features that characterize objects and object categories. (shrink)

Obesity is widely recognized as a preventable cause of death and disease. Reducing obesity among adults and children has become a national health goal in the United States. As one approach to the obesity epidemic, public health practitioners and others have asserted the need to provide consumers with information about the foods they eat. Some state and local governments across the United States have introduced menu labeling bills and regulations that require restaurants to post information, such as calorie content, (...) for foods offered on their menus or menu boards. A major dilemma is whether state and local menu labeling laws are preempted by the federal Nutrition Labeling and Education Act . While few courts have addressed this issue, ongoing litigation in New York City provides an early glimpse of judicial interpretation in this area. This article explores these preemption issues, arguing that appropriately written and implemented menu labeling laws should not be preempted by the NLEA. We offer guidance for states and localities that wish to develop and implement menu labeling laws. (shrink)

International criminal law (ICL) has traditionally overlooked sexual and gender-based violence (SGBV) and struggles to understand it. Prosecutions have been largely inefficient and not reflective of gender harms. The Rome Statute requires interpreting SGBV as a social construction (article 7(3)), in consistency with international human rights law (IHRL) and without discrimination (article 21(3)). There is, however, little guidance to implement these approaches. This article argues that intersectionality, an IHRL-based approach that reveals compounded discrimination, is an efficient tool to interpret (...) SGBV and, therefore, should be integrated in ICL. The article traces the origins of intersectionality in feminism and its recognition by IHRL dealing with violence against women. It establishes the applicability of intersectionality in ICL that it demonstrates with a comparative analysis of the Lubanga and Ntaganda cases. The findings show that intersectionality suits ICL’s specific needs which allows labelling and explaining some of those contributions throughout the judicial process. (shrink)

Case law retrieval is the task of locating truly relevant legal cases given an input query case. Unlike information retrieval for general texts, this task is more complex with two phases (legal case retrieval and legal case entailment) and much harder due to a number of reasons. First, both the query and candidate cases are long documents consisting of several paragraphs. This makes it difficult to model with representation learning that usually has restriction on input length. Second, the concept of (...) relevancy in this domain is defined based on the legal relation that goes beyond the lexical or topical relevance. This is a real challenge because normal text matching will not work. Third, building a large and accurate legal case dataset requires a lot of effort and expertise. This is obviously an obstacle to creating enough data for training deep retrieval models. In this paper, we propose a novel approach called supporting model that can deal with both phases. The underlying idea is the case–case supporting relation and the paragraph–paragraph as well as the decision-paragraph matching strategy. In addition, we propose a method to automatically create a large weak-labeling dataset to overcome the lack of data. The experiments showed that our solution has achieved the state-of-the-art results for both case retrieval and case entailment phases. (shrink)

This paper aims to consider some semantic aspects of the phenomenon of hermeneutical injustice overlooked in recent literature. First, we examine different cases of hermeneutical injustices and we propose to classify them according to their semantic structure. The core of this classification lies in the distinction between cases related to problems of content and cases related to problems of circulation of social concepts. Second, we criticize a semantic conception, implicit in much of the literature concern- ing hermeneutical injustice, according to (...) which concepts are mere labels. We show that this conception cannot provide an adequate understanding of the different cases of hermeneutical injustice that we identify: first, because it fails to capture the dynamics of conceptual change or refinement that these cases involve and, second, because it leads to diagnosing them as mere problems of concept application. (shrink)

Technology has substantially transformed the way legal services operate in many different countries. With a large and complex collection of digitized legal documents, the judiciary system worldwide presents a promising scenario for the development of intelligent tools. In this work, we tackle the challenging task of organizing and summarizing the constantly growing collection of legal documents, uncovering hidden topics, or themes that later can support tasks such as legal case retrieval and legal judgment prediction. Our approach to this problem (...) relies on topic discovery techniques combined with a variety of preprocessing techniques and learning-based vector representations of words, such as Doc2Vec and BERT-like models. The proposed method was validated using four different datasets composed of short and long legal documents in Brazilian Portuguese, from legal decisions to chapters in legal books. Analysis conducted by a team of legal specialists revealed the effectiveness of the proposed approach to uncover unique and relevant topics from large collections of legal documents, serving many purposes, such as giving support to legal case retrieval tools and also providing the team of legal specialists with a tool that can accelerate their work of labeling/tagging legal documents. (shrink)

The subject of Labelled Non-Classical Logics is the development and investigation of a framework for the modular and uniform presentation and implementation of non-classical logics, in particular modal and relevance logics. Logics are presented as labelled deduction systems, which are proved to be sound and complete with respect to the corresponding Kripke-style semantics. We investigate the proof theory of our systems, and show them to possess structural properties such as normalization and the subformula property, which we exploit not only to (...) establish advantages and limitations of our approach with respect to related ones, but also to give, by means of a substructural analysis, a new proof-theoretic method for investigating decidability and complexity of (some of) the logics we consider. All of our deduction systems have been implemented in the generic theorem prover Isabelle, thus providing a simple and natural environment for interactive proof development. Labelled Non-Classical Logics is essential reading for researchers and practitioners interested in the theory and applications of non-classical logics. (shrink)

At least half of American adults are overweight or obese, and the number may be as high as two-thirds. These facts have spurred anti-obesity campaigns, and those campaigns have provoked difficult questions in public health and population ethics. Should the government merely inform people about the risks of unhealthy food? May it try to change behavior by taxing unhealthy food? May it ban some foods outright? This paper proposes that we should answer these questions using familiar liberal principles. The principles (...) show that several common arguments for obesity interventions are flawed. The principles also highlight several that succeed, and those arguments point toward a new proposal for food labeling and some potential market interventions. (shrink)

In the traditional philosophical debate over different conceptual analyses of “disease,” it is often presupposed that “disease” is univocally definable and that there are clear boundaries which distinguish this univocal category “disease” from the category of “nondisease.” In this paper, I will argue for a shift in the discussion on the concept of “disease” and propose an alternative, pragmatic approach that is based on the conviction that “disease” is not a theoretical concept but a practical term. I develop a (...) view on which our use of the term “disease” is determined by two interacting factors, namely, value-laden considerations about the desirabilty of certain states and discoveries of cause which is/are explanatorily relevant. I show how these factors interact with regard to a taxonomy of kinds of diseases. This pragmatic approach will not lead me to a final definition of “disease,” but will result in a more realistic description of the way we build, use, apply, and change our concept of “disease.” Meanwhile, it is useful as a basis for critical reflection on disease-labeling in medicine. (shrink)

This paper outlines the main tenets of poststructuralism and considers how they are applied by practitioners of queer theory. Drawing on both Michel Foucault and Jacques Derrida, queer theory explores the ways in which homosexual subjectivity is at once produced and excluded within culture, both inside and outside its borders. This approach is contrasted with more sociological studies of sexuality (labeling theory, social constructionism). Whereas queer theory investigates the relations between heterosexuality and homosexuality, sociologists tend to examine homosexual identities (...) and communities, paradoxically ignoring the social construction of heterosexuality. Poststructuralism can inform a sociological approach to sexuality by emphasizing the generative character of all sexual identities. A sociological study of sexuality which is informed by poststructuralism would examine the exclusions implicit in a heterosexual/homosexual opposition. In this process, bisexual and transgender identities can become viable cultural possibilities, and a broad-based political coalition established. Whereas mainstream sociology focuses on the ways in which homosexuals are outside social norms, and whereas queer theory exploits the ways in which this outside is already inside, this perspective suggests that a critical sexual politics seeks to move beyond an inside/outside model. (shrink)

This important book provides a new unifying methodology for logic. It replaces the traditional view of logic as manipulating sets of formulas with the notion of structured families of labelled formulas with algebraic structures. This approach has far reaching consequences for the methodology of logics and their semantics, and the book studies the main features of such systems along with their applications. It will interest logicians, computer scientists, philosophers and linguists.

Basin-Matthews-Viganò approach to construction of labelled deduction systems for normal modal logics is adapted to „Fitch proof-format“, and it is applied to the language of deontic-praxeological logic. Segerberg's suggestion on how to asses the adequacy of a logic for Kanger's theory of rights is being formally explicated and it is proved that herewith proposed system of labelled deduction satisfies Segerberg's criteria of adequacy. For the purpose of building the proof a semantics is given, which connects „the simplest semantics of (...) action“ with standard semantics of deontic logic. Soundness and completeness of the proposed labelled deduction with respect to aforementioned semantics is proved. (shrink)

We introduce a general recipe for presenting non-classical logics in a modular and uniform way as labelled deduction systems. Our recipe is based on a labelling mechanism where labels are general entities that are present, in one way or another, in all logics, namely truth-values. More specifically, the main idea underlying our approach is the use of algebras of truth-values, whose operators reflect the semantics we have in mind, as the labelling algebras of our labelled deduction systems. (...) The “truth-values as labels” approach allows us to give generalized systems for multiple-valued logics within the same formalism: since we can take multiple-valued logics as meaning not only finitely or infinitely many-valued logics but also power-set logics, i.e. logics for which the denotation of a formula can be seen as a set of worlds, our recipe allows us to capture also logics such as modal, intuitionistic and relevance logics, thus providing a first step towards the fibring of these logics with many-valued ones. (shrink)

Background Thorough information of the patient is an integral part of the process of shared decision making. We aimed to investigate if detailed information about medication may induce nocebo effects. Methods We conducted a randomized, single-blind, pilot-study including n = 51 psychiatric in-patients aged between 18 and 80 years with a depressive disorder and accompanying sleeping disorders. In the intervention group we provided thorough information about adverse effects, while the control group received only a simple consent procedure. In both groups, (...) patients received an open-label placebo pill instead of their sleeping medication. Results No statistically significant differences between the intervention group and the control group were found regarding the main outcome parameter. Conclusion In this study, we were not able detect an effect of informed consent vs. simple consent on the emergence of placebo or nocebo effects. This finding is contrary to most assumptions and publications about this topic. Trial registration Trial registration number: DRKS00017653, registered August 30th 2018. Retrosprectively registered. (shrink)

The primary aim of menu labelling should be understood as informing consumers such that they are better able to make informed food purchasing and consumption decisions; the extent to which consumers’ behaviours or, indeed, health outcomes, are affected may be contingent on several other factors and should therefore be considered more distal aims of what menu labelling intends to, or is able to, achieve. It is of importance to be clear about the nature and scope of menu (...) class='Hi'>labelling, including what it might reasonably be expected to achieve, in order to elucidate the morally relevant equity considerations that ought to accompany the design and implementation of such interventions. This commentary attempts to begin to specify what these equity considerations ought to look like given the specific situational and dispositional factors associated with menu labelling. It concludes that the goals of menu labelling interventions should be, at a minimum, to strive to give consumers equality of access to nutrition information and/or the equal opportunity or capability to make informed food decisions in the eating out environment. These considerations support a universal approach to menu labelling, but may also require targeted strategies to attend to the needs of those less capable of making informed food decisions. (shrink)

Social Deviations, Labelling and Normality This paper discusses the issues of labelling, normality and social deviation. I focus on the sociological and socio-psychological aspects of these topics in light of their importance for pedagogy. Labelling mainly concerns the ways in which the formal and constitutive institutions of social control, including schools, respond to behaviour. Mainly children and young people are "marked" or labelled according to both their existing and presumed patterns of deviant behaviour. School, as a social (...) institution, expects its students to be normal. It has the power to define normality and, moreover, a network of social control to achieve it. However, from the perspective of the school it is very important not to prematurely label pupils negatively during the selection process. On the contrary, school should enable as many pupils as possible to contribute successfully towards the requirements of a knowledge society. Research indicates that there is a correlation between a child's school performance and the perceptions and expectations held by the teacher. Recent studies, concerning for example violence at school, have shown how strongly the aggressive behaviour of pupils is connected to the teacher's behaviour. The theory of labelling is concerned with the fundamental question of why some individuals and groups are branded as deviating from norms more often than others. Stigma is a relative phenomenon; it is the result of successful labelling, delivering a punitive and disapproving response. In order to better understand labelling, the concepts of social norms and social deviance also require clarification. (shrink)

Ethnic minority patients face challenges concerning communication and are at higher risk of experiencing health problems and consuming fewer healthcare services. They are also exposed to disparaging societal discourses about migrants which might undermine healthcare institutions’ ambitions of equitable health care. Therefore, healthcare professionals need to critically reflect on their practices and processes related to ethnic minority patients. The aim of this article is to explore healthcare professionals’ experiences of working with ethnic minority patients by using the critical incident (CI) (...) technique. In two focus group sessions, participants discussed challenging events in their encounters with patients. The critical incidents show that healthcare professionals may experience unfamiliar situations related to their work performance, prejudice toward patients, and labeling by patients the professionals do not identify with. The professionals’ reflections are discussed in relation to social discourses on migration and their work conditions, and the possible influence on the professionals’ preconceptions and the patient–professional relationship in health care. Reflections about work experiences with ethnic minority patients and aligned societal discourses should be included in healthcare workers’ professional development. Critical incident reflections at work may contribute to better‐coping strategies for healthcare professionals and improved patient–professional relationships with ethnic minority patients. (shrink)

Objectives Potentially life-shortening medical end-of-life practices ) remain subject to conceptual vagueness. This study evaluates how physicians label these practices by examining which of their own practices they label as euthanasia or sedation.Methods We conducted a large stratified random sample of death certificates from 2007 . The physicians named on the death certificate were approached by means of a postal questionnaire asking about ELDs made in each case and asked to choose the most appropriate label to describe the ELD. Response (...) rate was 58.4%.Results In the vast majority of practices labelled as euthanasia, the self-reported actions of the physicians corresponded with the definition in the Belgian euthanasia legislation; practices labelled as palliative or terminal sedation lack clear correspondence with definitions of sedation as presented in existing guidelines. In these cases, an explicit life-shortening intention by means of drug administration was present in 21.6%, life shortening was estimated at more than 24 h in 51% and an explicit patient request was absent in 79.7%.Discussion Our results suggest that, unlike euthanasia, the concept of palliative or terminal sedation covers a broad range of practices in the minds of physicians. This ambiguity can be a barrier to appropriate sedation practice and indicates a need for better knowledge of the practice of palliative sedation by physicians. (shrink)

We tend to want to avoid and ignore our dark or difficult emotions, biases, and tendencies-and we eschew them on a cultural and societal level because they reveal painful, ugly truths. The labeling of darkness as "negative" becomes a collective excuse to justify avoiding everything that makes humans uncomfortable: racism, spiritual bypass, environmental destruction. Welcoming darkness with curiosity and reverence, rather than fear or judgment, enables us to access our innate capacity for compassion and collective healing. In Seeing with the (...) Heart, dharma teacher, shaman, and deep ecologist Deborah Eden Tull asks us to recognize, explore, and engage with the darkness we experience in our lives in order to learn important lessons and tools for bringing awakening, healing, and compassion to ourselves-and to our world. In an age of global uncertainty, Tull presents the radical teaching of endarkenment--that we can only awaken to wholeness through fully embracing the dark. Darkness, she posits, is not the absence of light, but an intrinsic, vital, healing, and restorative aspect of nature. Tull addresses the spiritual, ecological, psychological, and interpersonal ramifications of our bias towards light over dark. She offers a radical path to wholeness that can be found only through learning to embrace the interplay of both darkness and light, within ourselves and within our world. She offers inspiring teachings, meditations, and mindful inquiry questions to integrate into our daily practice an experiential understanding of endarkenment. (shrink)

In “Abetting a Crime,” Husak puzzles over what, exactly, abettors are held liable for. Having dismissed the proposal that derivative liability can ground the imposition of punishment, he then turns to fair labeling concerns to further highlight problems surrounding current Anglo-American complicity laws. The best moral solution, according to Husak, is a drastic but ultimately unworkable revising of our laws. Loosely, he presents a two-horned dilemma: the laws are either insufficiently detailed to respect fair labeling practices or too detailed to (...) be workable. Though I agree with his assessment derivative liability, I advocate for a more optimistic outlook. Specifically, I advocate for having multiple new crimes of “abetting _____,” where the blank is filled in by reference to a particular existing crime for which we think it should be wrongful to help another. This framework offers significant advantages over current complicity laws while escaping the two pitfalls Husak highlights. (shrink)

Over the past two decades the growth of the organic sector has been accompanied by a shift away from first party, or peer review, systems of certification and towards third party certification, in which a disinterested party is responsible for the development of organic standards and the verification of producer compliance. This paper explores some of the limitations of the third party certification model and presents the case of Mexico as an example of how an alternative form of participatory certification (...) has emerged. The paper suggests that participatory guarantee systems (PGS) are reflective of the growing “beyond organic” movement, which focuses on reconstructing the local and re-embedding food systems into their socio-ecological contexts. It argues that PGS offers a number of benefits for producers and consumers, particularly in the South, but that it faces a number of challenges as well, such as a lack of formal recognition, social conflicts and dependence on donated resources. (shrink)

This paper challenges the negative attitudes towards labelled proof systems, usually referred to as semantic pollution, by arguing that such critiques overlook the full potential of labelled calculi. The overarching objective is to develop a practice-based philosophical analysis of labelled calculi to provide insightful considerations regarding their proof-theoretic and philosophical value. To achieve this, successful applications of labelled calculi and related results will be showcased, and comparisons with other relevant works will be discussed. The paper ends by advocating for a (...) more practice-based approach towards the philosophical understanding of proof systems and their role in structural proof theory. (shrink)

Anti-vascular endothelial growth factor therapy has revolutionised the treatment of a variety of ophthalmic conditions and has become the first-line therapy for a range of retinal diseases. Bevacizumab, a VEGF inhibitor first approved for the treatment of colorectal cancer, has been shown to be nearly or virtually as effective and safe as other anti-VEGF therapies in the treatment of certain retinal diseases but is not approved or registered by the Food and Drug Administration or European Medicines Agency. While other anti-VEGF (...) options are approved and registered, they are generally more expensive and less accessible. Accordingly, despite its off-label status, bevacizumab is frequently used for a variety of disabling retinal diseases. Indeed, bevacizumab is included on the World Health Organization’s list of essential medicines. However, its use in some parts of the world remains restricted due to its off-label status. How, then, should healthcare authorities approach this situation? What are the ethical and societal implications of adhering to a standard and generally effective evaluation and approval system while restricting access to a potentially cost-saving therapy? In countries where its use is not restricted, how should providers approach off-label treatment with bevacizumab? By examining the evidence behind bevacizumab’s efficacy and safety and evaluating the individual and societal implications of off-label use and restriction, this paper illustrates the ethical factors providers and policy makers must consider in the off-label use of bevacizumab and ultimately argues for increased access to bevacizumab in the treatment of retinal disease. (shrink)

This note is based on a lecture delivered at the Conference on the Scien- tic Research of the Mathematical Center of Opole, Turawa, May 10-11th, 1980. A somewhat extended version will be published in the Proceedings of the Conference. At the same time it is an abstract of a part of a planned larger paper, which will involve the theory of label-tokens. The theory is included into the author's monograph in Polish "Teorie Językow Syntaktycznie Kategorialnych", PWN, Warszawa-Wrocław 1985 and into (...) its English version: Theory of Language Syntax. Categorial Approach, Kluwer Academic Publishers, Boston-London-Dordrecht 1991. (shrink)

We propose a family of Labelled Deductive Conditional Logic systems by defining a Labelled Deductive formalisation for the propositional conditional logics of normality proposed by Boutilier and Lamarre. By making use of the Compilation approach to Labelled Deductive Systems we define natural deduction rules for conditional logics and prove that our formalisation is a generalisation of the conditional logics of normality.

This paper draws upon the events surrounding two small United States Department of Agriculture-funded projects in order to explore some preliminary ideas about the influence of corporations in US policy-making through federal advisory committees created by the 1972 Federal Advisory Committee Act. Following a synopsis of the political controversy created by the efforts of these projects to generate more discussion of geographical indications in the US, this paper outlines a path for further analysis of the relationships between members of advisory (...) committees to the US Trade Representative and a newly established non-profit, the Consortium for Common Food Names. After a brief discussion of two worlds of geographic indications defined on the one hand by key principles of terroir and on the other hand those embodied in US Patent & Trademark Policy, the paper concludes with short discussions of two approaches for bringing geographic indications into federal and state policy discussions. (shrink)

In previous work we gave an approach, based on labelled natural deduction, for formalizing proof systems for a large class of propositional modal logics that includes K, D, T, B, S4, S4.2, KD45, and S5. Here we extend this approach to quantified modal logics, providing formalizations for logics with varying, increasing, decreasing, or constant domains. The result is modular with respect to both properties of the accessibility relation in the Kripke frame and the way domains of individuals change (...) between worlds. Our approach has a modular metatheory too; soundness, completeness and normalization are proved uniformly for every logic in our class. Finally, our work leads to a simple implementation of a modal logic theorem prover in a standard logical framework. (shrink)

This paper provides equational semantics for Dung's argumentation networks. The network nodes get numerical values in [0,1], and are supposed to satisfy certain equations. The solutions to these equations correspond to the ?extensions? of the network. This approach is very general and includes the Caminada labelling as a special case, as well as many other so-called network extensions, support systems, higher level attacks, Boolean networks, dependence on time, and much more. The equational approach has its conceptual roots (...) in the nineteenth century following the algebraic equational approach to logic by George Boole, Louis Couturat, and Ernst Schroeder. (shrink)

Over the past two decades the growth of the organic sector has been accompanied by a shift away from first party, or peer review, systems of certification and towards third party certification, in which a disinterested party is responsible for the development of organic standards and the verification of producer compliance. This paper explores some of the limitations of the third party certification model and presents the case of Mexico as an example of how an alternative form of participatory certification (...) has emerged. The paper suggests that participatory guarantee systems (PGS) are reflective of the growing “beyond organic” movement, which focuses on reconstructing the local and re-embedding food systems into their socio-ecological contexts. It argues that PGS offers a number of benefits for producers and consumers, particularly in the South, but that it faces a number of challenges as well, such as a lack of formal recognition, social conflicts and dependence on donated resources. (shrink)

Efforts to include women in the canon have long been beset by reactionary gatekeeping, typified by the charge “That's not philosophy.” That charge doesn't apply to early and mid‐analytic female philosophers—Welby, Ladd‐Franklin, Bryant, Jones, de Laguna, Stebbing, Ambrose, MacDonald—with job titles like lecturer in logic and professor of philosophy and publications in Mind, the Journal of Philosophy, and Proceedings of the Aristotelian Society. It's hopeless to dismiss their work as “not philosophy.” But comparable reactionary gatekeeping affects them, this paper argues, (...) typified by the labels “bad philosophy” and “derivative philosophy.” Virtue and vice epistemology help explain why these women have been neglected and why their own approaches are epistemically virtuous. Their contemporaries and historians are deficient in scholarly virtues in labelling these women's work “bad” or derived from male mentors with no or specious justification. Their disparaged qualities—intellectual humility, modesty, critical self‐reflection, disclosing biases—are often epistemic virtues. (shrink)

Labels provide a quick and effective solution to obtain people interesting content from large-scale social network information. The current interest label extraction method based on the subgraph stream proves the feasibility of the subgraph stream for user label extraction. However, it is extremely time-consuming for constructing subgraphs. As an effective mathematical method to deal with fuzzy and uncertain information, rough set-based representations for subgraph stream construction are capable of capturing the uncertainties of the social network. Therefore, we propose an effective (...) approach called RS_UNITE_SS, which is suitable for large-scale social network user interest label extraction. Specifically, we first propose the subgraph division algorithm to construct a subgraph stream by incorporating a rough set. Then, the algorithm for user real-time interest label extraction based on upper approximation is proposed by using sequentially characteristics of the subgraph. Empirically, we evaluate RS_UNITE_SS over real-world datasets, and experimental results demonstrate that our proposed approach is more computationally efficient than existing methods while achieving higher precision value and MRR value. (shrink)

We consider the problem of learning argumentation frameworks from a given set of labelings such that every input is a σ-labeling of these argumentation frameworks. Our new algorithm takes labelings and computes attack constraints for each argument that represent the restrictions on argumentation frameworks that are consistent with the input labelings. Having constraints on the level of arguments allows for a very effective parallelization of all computations. An important element of this approach is maintaining a representation of all argumentation (...) frameworks that satisfy the input labelings instead of simply finding any suitable argumentation framework. This is especially important, for example, if we receive additional labelings at a later time and want to refine our result without having to start all over again. The developed algorithm is compared to previous works and an evaluation of its performance has been conducted. (shrink)

"Why punish?" is one of the oldest and certainly the most crucial question confronting the criminal law. Yet surprisingly little has been accomplished in the systematization of individual theories of punishment. Discussions merely contrast absolute and relative theories or focus on the triad: retribution - general prevention - specific prevention. This article approaches the issue by undertaking an exhaustive systematization. First, it considers the relationship between theories of punishment and theories of criminality, both understood in the broad sense. Theories of (...) punishment thus can include approaches such as re-establishment of offender-victim parity, provision of reparations, radical non-intervention, or any number of agreements between the offender and the victim and/or state. Theories of criminality include so-called criminalization conceptions, such as the labeling approach or approaches based on a priori ideas of human nature. It then comes to light that virtually every theory of punishment in the broad sense can be linked to a group of theories of criminality. Furthermore, theories of punishment when viewed in their orientation toward the offender, the victim or the general community can be categorized in a comprehensive system which indicates that theoretically additional, as yet undiscussed, theories of punishment are conceivable, such as punishment of the victim or positive sanctioning of the offender. Finally, the article attempts to arrange the theories of punishment gained from the analysis such that they can be subordinated to various primary punishment goals: satisfaction of the demand for punishment of the offender, crime prevention, punishment equality, and keeping of peace within the legal community. Obwohl die Frage, warum eigentlich gestraft wird, eine der ältesten und wohl die entscheidenste des gesamten Strafrechts ist, hat man bisher erstaunlich wenig für die Systematisierung der einzelnen Straftheorien geleistet. Es werden immer nur die absoluten Straftheorien den relativen gegenübergestellt oder von der Trias Vergeltung - Generalprävention - Spezialprävention gesprochen. In dem vorliegenden Beitrag sollen nun weiterreichende Wege der Systematisierung gegangen werden: Zunächst einmal wird das Verhältnis der Straftheorien zu den Kriminalitätstheorien untersucht, wobei beide Begriffe sehr weit verstanden werden: Als Straftheorien können danach auch Konzeptionen wie Täter-Opfer-Ausgleich, Wiedergutmachung, Nonintervention oder Verständigung verstanden werden; zu den Kriminalitätstheorien werden auch die sog. Kriminalisierungskonzepte wie etwa der labeling approach oder eher geisteswissenschaftlich orientierte Konzepte gerechnet. Es stellt sich heraus, daß sich praktisch jede der Straftheorien im weiteren Sinne mit einer Gruppe so verstandener Kriminalitätstheorien verbinden läßt. Des weiteren lassen sich die Straftheorien, wenn man ihre Ausrichtung entweder auf den Täter oder das Opfer oder aber auf die Gesellschaft beachtet, in ein umfassendes System einordnen, in dem deutlich wird, daß theoretisch noch weitere, bisher nicht diskutierte Straftheorien denkbar sind, wie etwa die Opferbestrafung oder die positive Sanktionierung. Schließlich wird in dem Beitrag versucht, die so gewonnenen Straftheorien dahingehend zu ordnen, daß man sie verschiedenen übergeordneten Strafzielen - Befriedigung von Strafbedürfnissen, Vorbeugung von Straftaten, Gleichheit des Strafens, Schaffung von Rechtsfrieden - zuordnet. (shrink)

In this article I examine several criticisms of the concept of vulnerability. Rather than rejecting the concept, however, I argue that a sufficiently rich understanding of vulnerability is essential to bioethics. The challenges of international research in developing countries require an understanding of how new vulnerabilities arise from conditions of economic, social and political exclusion. A serious shortcoming of current conceptions of vulnerability in research ethics is the tendency to treat vulnerability as a label fixed on a particular subpopulation. My (...) paper examines the role of this “label” metaphor in current statements of research ethics. In contrast to this prevailing “label” metaphor, my own positive account of vulnerability develops a dynamic way of understanding the structure of the concept of vulnerability based on the idea of “layers of vulnerability.” I examine several cases involving women, as they are sometimes labeled as a vulnerable population and sometimes not. My analysis demonstrates the essential role of this revised concept of vulnerability in bioethics and research ethics. (shrink)

Coronavirus disease 2019 is a fast-developing viral pandemic spreading across the globe. Due to lack of availability of proven medicines against COVID-19, physicians have resorted to treatments through large trials of investigational drugs with poor evidence or those used for similar diseases. Large trials randomize 100–500+ patients at multiple hospitals in different countries to either receive these drugs or standard treatment. In order to expedite the process, some regulatory agencies had also given permission to use drugs approved for other diseases, (...) despite a lack of evidence of efficacy in COVID-19. In this review, we highlight the potential ethical issues that should be addressed during the use of investigational drugs with little prior evidence as a treatment options during a pandemic. We discuss the impact of design of randomized clinical trials using LOTUS trial as an example and that of off-label use of drugs like chloroquine/hydroxychloroquine on the safety of patients during COVID-19. We conclude that the adaptive randomized clinical trial designs offer a flexible and efficient approach, enabling patients to quickly switch to successful treatments, while minimizing the number of patients on standard of care. Randomized clinical trial design should consider blinding of investigators and only representative patients who can provide consent should be included. We also conclude the emergency approvals of drugs should be carefully issued and off-label use should be restricted in pandemics. Streamlined regulatory guidelines for emergency drug use in a pandemic can also help in providing benefit and minimizing harm to patients in the future. (shrink)

In attempting to explain or deal with negative workplace behaviours such as workplace bullying, the notion of ‘workplace psychopaths’ has recently received much attention. Focusing on individual aspects of negative workplace behaviour is at odds with more systemic approaches that recognise the contribution of individual, organisational and societal influences, without seeking to blame a person(s) for their behaviour or personality disorder. Regarding a coworker as a psychopath is highly stigmatising, and given the relatively low prevalence of psychopathy in the community, (...) is likely to be incorrect. Sources promoting the notion of workplace psychopathy provide lists of diagnostic criteria and appear to encourage the perception that it is common. This research examines how lay persons use behavioural criteria consistent with psychopathy and the label ‘psychopath’ in relation to a coworker. 307 Australian workers completed an online survey concerning their experience of workplace bullying, which also asked them to rate a coworker’s behaviour on a range of scales to assess perceptions of psychopathy. Rates of psychopathy, when using labels and behavioural criteria, were found to be much higher than scientific estimates of prevalence, for both participants who had been bullied and those who had not. A higher proportion of non-bullied participants classified a coworker as a psychopath when using the label ‘psychopath’, compared to when using behavioural criteria. The notion that there are psychopaths in every workplace should be treated with caution to ensure that the potential for ‘misdiagnosis’ and stigmatisation do not cause further harm in situations of unacceptable workplace behaviours. (shrink)

Today, scholars employ the label ‘narrative Christology’ with relative frequency, though they mean different things when they do so. In this article, I argue that to date, narrative Christology has not yet fully explored the parameters of what it means to attend closely to the narrative form of the Gospels’ presentations of Jesus. I propose, further, that recent developments in literary theory’s so-called ‘New Formalism’ offer useful tools and concepts for moving in that direction. The first part of the article (...) briefly outlines previous scholarship, identifying similarities and differences between various approaches labelled ‘narrative Christology’. The second section introduces the major concepts of New Formalism and how they might extend narrative Christology’s capacity to take narrative form seriously as an object of analysis. The third section of the article offers a case study of a passage that appears in the triple tradition – the intercalated healing stories of Jairus’ daughter and the haemorrhaging woman in Mark 5.21–43; Luke 8.40–56; and Matthew 9.18–26 – in order to explore narrative structure on the micro-level. My ultimate goal is to show how New Formalism can contribute to a more robust narrative Christology and, in so doing, advance our understanding of the distinctive ways in which the Synoptic Gospels construct the figure of Jesus. (shrink)

. Artificial Intelligence (AI) has long dealt with the issue of finding a suitable formalization for commonsense reasoning. Defeasible argumentation has proven to be a successful approach in many respects, proving to be a confluence point for many alternative logical frameworks. Different formalisms have been developed, most of them sharing the common notions of argument and warrant. In defeasible argumentation, an argument is a tentative (defeasible) proof for reaching a conclusion. An argument is warranted when it ultimately prevails over (...) other conflicting arguments. In this context, defeasible consequence relationships for modelling argument and warrant as well as their logical properties have gained particular attention. This article analyzes two non-monotonic inference operators Carg and Cwar intended for modelling argument construction and dialectical analysis (warrant), respectively. As a basis for such analysis we will use the LDSar framework, a unifying approach to computational models of argument using Labelled Deductive Systems (LDS). In the context of this logical framework, we show how labels can be used to represent arguments as well as argument trees, facilitating the definition and study of non-monotonic inference operators, whose associated logical properties are studied and contrasted. We contend that this analysis provides useful comparison criteria that can be extended and applied to other argumentation frameworks. (shrink)

Multivariate pattern analysis can reveal new information from neuroimaging data to illuminate human cognition and its disturbances. Here, we develop a methodological approach, based on multivariate statistical/machine learning and time series analysis, to discern cognitive processing stages from functional magnetic resonance imaging (fMRI) blood oxygenation level dependent (BOLD) time series. We apply this method to data recorded from a group of healthy adults whilst performing a virtual reality version of the delayed win-shift radial arm maze (RAM) task. This task (...) has been frequently used to study working memory and decision making in rodents. Using linear classifiers and multivariate test statistics in conjunction with time series bootstraps, we show that different cognitive stages of the task, as defined by the experimenter, namely, the encoding/retrieval, choice, reward and delay stages, can be statistically discriminated from the BOLD time series in brain areas relevant for decision making and working memory. Discrimination of these task stages was significantly reduced during poor behavioral performance in dorsolateral prefrontal cortex (DLPFC), but not in the primary visual cortex (V1). Experimenter-defined dissection of time series into class labels based on task structure was confirmed by an unsupervised, bottom-up approach based on Hidden Markov Models. Furthermore, we show that different groupings of recorded time points into cognitive event classes can be used to test hypotheses about the specific cognitive role of a given brain region during task execution. We found that whilst the DLPFC strongly differentiated between task stages associated with different memory loads, but not between different visual-spatial aspects, the reverse was true for V1. Our methodology illustrates how different aspects of cognitive information processing during one and the same task can be separated and attributed to specific brain regions based on information contained in multivariate patterns of voxel activity. (shrink)

Fusion is a well-known form of combining normal modal logics endowed with a Hilbert calculi and a Kripke semantics. Herein, fusion is studied over logic systems using sequent calculi labelled with truth values and with a semantics based on a two-sorted algebra allowing, in particular, the representation of general Kripke structures. A wide variety of logics, including non-classical logics like, for instance, modal logics and intuitionistic logic can be presented by logic systems of this kind. A categorical approach of (...) fusion is defined in the context of these logic systems. Preservation of soundness and completeness by fusion is studied. Soundness is preserved without further requirements, completeness is preserved under mild assumptions. (shrink)

We present a general approach to quantified modal logics that can simulate most other approaches. The language is based on operators indexed by terms which allow to express de re modalities and to control the interaction of modalities with the first-order machinery and with non-rigid designators. The semantics is based on a primitive counterpart relation holding between n-tuples of objects inhabiting possible worlds. This allows an object to be represented by one, many, or no object in an accessible world. (...) Moreover by taking as primitive a relation between n-tuples we avoid some shortcoming of standard individual counterparts. Finally, we use cut-free labelled sequent calculi to give a proof-theoretic characterisation of the quantified extensions of each first-order definable propositional modal logic. In this way we show how to complete many axiomatically incomplete quantified modal logics. (shrink)

Predicting the defect-prone modules when the previous defect labels of modules are limited is a challenging problem encountered in the software industry. Supervised classification approaches cannot build high-performance prediction models with few defect data, leading to the need for new methods, techniques, and tools. One solution is to combine labeled data points with unlabeled data points during learning phase. Semi-supervised classification methods use not only labeled data points but also unlabeled ones to improve the generalization capability. In this study, we (...) evaluated four semi-supervised classification methods for semi-supervised defect prediction. Low-density separation, support vector machine, expectation-maximization, and class mass normalization methods have been investigated on NASA data sets, which are CM1, KC1, KC2, and PC1. Experimental results showed that SVM and LDS algorithms outperform CMN and EM-SEMI algorithms. In addition, LDS algorithm performs much better than SVM when the data set is large. In this study, the LDS-based prediction approach is suggested for software defect prediction when there are limited fault data. (shrink)

This article takes a look at our responses to the Syrian refugee crisis in Lebanon from the “micro” – or grassroots – level. Specifically, it examines how our attitudes and approaches, as responders, affect the lived experience of others during this extraordinarily sensitive time of displacement. Three areas of reflection are discussed: the reductionist approach to identity, the pathologizing of those who go through suffering, and finally the exploration of a biblical understanding of integration, by looking at the parable (...) of the workers in the vineyard. In such a dynamic, restorative, and Christ-like community, both those “workers” who arrived early and those who arrived late are equally valued. (shrink)

This study investigated the business ethics experiences of Australian managers in China, using qualitative methodology to identify themes. Thirty-one Australian managers who had spent on average 8.7 years working in business connected to China participated in in-depth interviews regarding their business ethics experiences in China. Commonly, managers identified issues relating to a broad spectrum which could be labelled "bribery and facilitation". Other repeated themes included requests for visa assistance, employee theft, nepotism and non-adherence to contractual obligations. This study has important (...) implications for helping Australian managers improve the way they approach potential ethical situations in China. Four key coping strategies can be identified from the data: managers spoke of not compromising their own morals, of attempting to understand the motivation of Chinese colleagues, of talking to others and of adhering to company policy. These strategies suggest practical steps may be taken by organisations when training managers for business activities in China. In particular, structuring of mentoring relationships between experienced and less experienced practitioners may be of assistance. Cultural training for managers and clear company policy on contentious issues such as bribery may also be of benefit. The themes identified in the study also have implications for academics researching expatriate business peoples' experiences in China. (shrink)

Berridge's nuanced approach to the conceptualization of addiction as a disease is easier for me to accept than most others. In fact, Berridge and I agree on many core features of addiction, but still not on how to label it. When competing definitions reach a standoff on intellectual grounds, we should look at the clinical utility of each. And here I think that Berridge misses a critical insight. Yet, we end by agreeing to keep listening to each other.

Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to corporate bodies or individuals to cause harm. Even though such mails are often used for advertising services and products, they sometimes contain links to malware or phishing hosting websites through which private information can be stolen. This study shows how the adaptive intelligent learning approach, based on the visual anti-spam model for multi-natural language, can be used to detect abnormal situations effectively. The application of this (...) class='Hi'>approach is for spam filtering. With adaptive intelligent learning, high performance is achieved alongside a low false detection rate. There are three main phases through which the approach functions intelligently to ascertain if an email is legitimate based on the knowledge that has been gathered previously during the course of training. The proposed approach includes two models to identify the phishing emails. The first model has proposed to identify the type of the language. New trainable model based on Naive Bayes classifier has also been proposed. The proposed model is trained on three types of languages (Arabic, English and Chinese) and the trained model has used to identify the language type and use the label for the next model. The second model has been built by using two classes (phishing and normal email for each language) as a training data. The second trained model (Naive Bayes classifier) has been applied to identify the phishing emails as a final decision for the proposed approach. The proposed strategy is implemented using the Java environments and JADE agent platform. The testing of the performance of the AIA learning model involved the use of a dataset that is made up of 2,000 emails, and the results proved the efficiency of the model in accurately detecting and filtering a wide range of spam emails. The results of our study suggest that the Naive Bayes classifier performed ideally when tested on a database that has the biggest estimate (having a general accuracy of 98.4%, false positive rate of 0.08%, and false negative rate of 2.90%). This indicates that our Naive Bayes classifier algorithm will work viably on the off chance, connected to a real-world database, which is more common but not the largest. (shrink)

The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time identification technique Recursive Least Squares. In order to find anomalies, the approach compares the present system dynamics with the average (centroid) of the dynamics found in earlier states for a given setpoint. The system labels the dynamics difference as an anomaly if it rises over a determinate threshold. To validate the (...) proposal, two different datasets obtained from a level control plant operation have been used, to which anomalies have been artificially added. The results shown have determined a satisfactory performance of the method, especially in those processes with low noise. (shrink)

Social media is an endless source of texts and images about almost everything. Accordingly, the number of analyses based on this source increases daily. Among the numerous methods social media can be analysed by, our attention focusses on discourse analysis. DA is a complex approach which makes it possible to capture not only the linguistic characteristics of given texts, but also their socially constructive and socially constructed features. Therefore, we carried out a systematic examination of the articles at one (...) of the largest academic databases, EBSCO available in 2019 which used DA in social media research. Our investigation studies not only the geographical distribution of this corpus, but the different self-proclaimed DA approaches. Furthermore, we developed a three-level scale in order to capture the methodological complexity of the collected articles. At one end of the scale there are those research papers where discourse appears only as a label for the textual material gathered, without further indication of any DA theories or methodologies. The other end, however, refers to those research projects which applied DA both in their theoretical and methodological frameworks, providing complex discourse analytical investigations of social media texts. This way we were able to demonstrate the wide array of DA perspectives employed in social media research. (shrink)