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Traits with intuitive names, a clear scope and explicit description are essential for all trait databases. The lack of unified, comprehensive, and machine-readable plant trait definitions limits the utility of trait databases, including reanalysis of data from a single database, or analyses that integrate data across multiple databases. Both can only occur if researchers are confident the trait concepts are consistent within and across sources. Here we describe the AusTraits Plant Dictionary (APD), a new data source of terms that extends the trait definitions included in a recent trait database, AusTraits. The development process of the APD included three steps: review and formalisation of the scope of each trait and the accompanying trait description; addition of trait metadata; and publication in both human and machine-readable forms. Trait definitions include keywords, references, and links to related trait concepts in other databases, enabling integration of AusTraits with other sources. The APD will both improve the usability of AusTraits and foster the integration of trait data across global and regional plant trait databases.
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Plantas , Bases de Dados Factuais , Dicionários como AssuntoRESUMO
What makes written text appealing? In this registered report protocol, we propose to study the linguistic characteristics of news headline success using a large-scale dataset of field experiments (A/B tests) conducted on the popular website Upworthy comparing multiple headline variants for the same news articles. This unique setup allows us to control for factors that can have crucial confounding effects on headline success. Based on prior literature and a pilot partition of the data, we formulate hypotheses about the linguistic features that are associated with statistically superior headlines. We will test our hypotheses on a much larger partition of the data that will become available after the publication of this registered report protocol. Our results will contribute to resolving competing hypotheses about the linguistic features that affect the success of text and will provide avenues for research into the psychological mechanisms that are activated by those features.
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Jornais como Assunto , Bases de Dados como Assunto , Dicionários como Assunto , Internet , Linguística , Análise de RegressãoRESUMO
Importance: Standard morphological terminology and definitions are vital for identification of lesion types in the clinical trial setting and communication about the condition. For hidradenitis suppurativa (HS), morphological definitions have been proposed by different groups, representing various regions of the world, but no international consensus has been reached regarding such definitions. A lack of globally harmonized terminology and definitions may contribute to poor-quality data collection in clinical trials as well as poor communication among clinicians, investigators, and patients. Objective: To establish and validate consensus definitions for typical morphological findings for HS lesions. Methods: This study was conducted from August 2019 to August 2020. A Delphi study technique was used to assess agreement and then resolve disagreement on HS terminology among international experts. After an initial preparation phase, the process consisted of 3 rounds. In each round, participants reviewed preliminary definitions and rated them as "keep, with no changes," "keep, with changes," or "remove." Eight HS primary lesions, including papule, pustule, nodule, plaque, ulcer, abscess, comedo, and tunnel, were selected because they are most frequently used in HS clinician-reported outcome measures. The initial definitions were based on extant literature, and modifications were made between rounds based on qualitative thematic analysis of open-ended responses or discussion. Consensus was defined as greater than 70% to accept a definition. Consensus stability across rounds was defined as less than 15% change in agreement. Reliability was evaluated using the Gwet agreement coefficient. Validation was based on assessment of face validity and stability across rounds. Results: A total of 31 experts participated. All 8 HS primary lesion definitions achieved greater than 70% consensus by Delphi round 3. Stability was achieved for papule, pustule, and abscess. The Gwet agreement coefficient increased from 0.49 (95% CI, 0.26-0.71) in round 1 to 0.78 (95% CI, 0.64-0.92) in round 3. Face validity was supported by expert endorsement to keep terms in survey responses. Previously unmeasured variation among clinicians' definition of tunnels was identified, and consensus was achieved. Conclusions and Relevance: An international group of experts agreed on definitions for morphological features of HS lesions frequently included in HS clinical trials. These international consensus terms and definitions are needed to support consistency of lesion identification and quantification in clinical trials.
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Hidradenite Supurativa/diagnóstico , Consenso , Técnica Delphi , Dicionários como Assunto , Humanos , Internacionalidade , Reprodutibilidade dos Testes , Inquéritos e Questionários , Terminologia como AssuntoRESUMO
A computerized linguistic measure, the Weighted Referential Activity Dictionary (WRAD), was applied to locate nodal turns of speech in psychotherapy, defined here as significant moments of patient emotional communication that are likely to reveal important themes. Two published demonstration sessions conducted by a senior clinician, who made extensive comments on this material, were utilized to illustrate the method. The WRAD, defined in the context of referential process theory, was developed and has been validated as assessing the vividness and immediacy of language. Segments of patient speech (turns of speech) were classified based on WRAD level and sufficient length. The themes of the therapist's clinical comments concerning high WRAD segments were coded using a category system developed for this study, and were compared to themes of comments for the remaining segments. Results showed a significant difference in the therapist's comments between the two groups of segments using Fisher's exact test. In particular, the therapist's comments on the nodal turns showed more focus on the emotional effects of the patient's utterances on him, as well as identification of unexpected disclosures in these utterances. The implications and limitations of this method are discussed.
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Comunicação , Simulação por Computador , Linguística , Psicoterapia , Dicionários como Assunto , Feminino , Humanos , IdiomaRESUMO
Reflecting/Reorganizing (R/R) is one of the three functions described by Bucci (Overview of the referential process: the operation of language within and between people, 2021a) as part of the referential process. The Weighted Referential Activity Dictionary (WRAD) was previously developed to model the Symbolizing function of the referential process. This paper presents the development of the Weighted Reflecting Reorganizing List (WRRL) as a model of the R/R function. The basic premise of this approach is that by rating segments of text rather than individual words, and using a word by word weighting procedure designed for this purpose, it is possible to identify the nature of the language style that is connected with particular degrees of involvement in the psychological process being modeled. Starting with a brief description of the R/R function, an iterative process was applied that resulted in a clear scoring manual for the R/R function. The method of developing the dictionary is described, a study providing validation for the measure is presented, and the nature of the language style used to express the R/R function is discussed. As was described for the WRAD, the language style of the WRRL was found to involve use of particular function words, applicable across a wide range of contents.
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Dicionários como Assunto , Idioma , Psicoterapia , Aprendizagem Verbal , HumanosRESUMO
Stakeholder engagement is an essential pillar for the development of innovative public health interventions, including genetic approaches for malaria vector control. Scientific terminologies are mainly lacking in local languages, yet when research activities involve international partnership, the question of technical jargon and its translation is crucial for effective and meaningful communication with stakeholders. Target Malaria, a not-for-profit research consortium developing innovative genetic approaches to malaria vector control, carried out a linguistic exercise in Mali, Burkina Faso and Uganda to establish the appropriate translation of its key terminology to local languages of sites where the teams operate. While reviewing the literature, there was no commonly agreed approach to establish such glossary of technical terms in local languages of the field sites where Target Malaria operates. Because of its commitment to the value of co-development, Target Malaria decided to apply this principle for the linguistic work and to take the opportunity of this process to empower communities to take part in the dialogue on innovative vector control. The project worked with linguists from other institutions (whether public research ones or private language centre) who developed a first potential glossary in the local language after better understanding the project scientific approach. This initial glossary was then tested during focus groups with community members, which significantly improved the proposed translations by making them more appropriate to the local context and cultural understanding. The stepwise process revealed the complexity and importance of elaborating a common language with communities as well as the imbrication of language with cultural aspects. This exercise demonstrated the strength of a co-development approach with communities and language experts as a way to develop knowledge together and to tailor communication to the audience even in the language used.
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Anopheles/genética , Dicionários como Assunto , Técnicas Genéticas , Malária/prevenção & controle , Mosquitos Vetores/genética , Saúde Pública/métodos , Participação dos Interessados , Animais , Burkina Faso , Feminino , Humanos , Linguística , Malária/parasitologia , Masculino , Mali , Controle de Mosquitos , Mosquitos Vetores/parasitologia , UgandaRESUMO
Over the past two decades, therapeutic alliance research has increasingly focused on understanding the process by which the alliance is ruptured and repaired. This paper is the first to explore how alliance rupture segments from psychotherapy sessions differ from non-rupture segments on key dimensions of the referential process. A sample of 27 psychotherapy sessions were scored using a measure designed to identify rupture from non-rupture segments. These segments were then scored for key linguistic dimensions of the referential process. During ruptures patients manifested a referential process marked by a decrease in emotional engagement, an increase in a measure of distancing, and an increase in negation as compared to non-rupture segments. Therapists show similar patterns but, in addition, manifest a language pattern that suggests that during ruptures, therapists are attempting to make sense of, and self-disclose, aspects of their inner experience. Implications for research and clinical work are explored.
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Linguística , Psicoterapia , Aliança Terapêutica , Adulto , Dicionários como Assunto , Emoções , Feminino , Humanos , MasculinoRESUMO
Recent years have seen a growing amount of research effort directed toward what positive media psychologists refer to as self-transcendent emotions, such as awe, admiration, elevation, gratitude, inspiration, and hope. While these emotions are invaluable to promote greater human connectedness, prosociality, and human flourishing, researchers are constrained in terms of analyzing self-transcendent emotions as expressed in spoken and written languages. Drawing upon the word-counting approach of the text analysis paradigm, this project aimed at constructing a dictionary tool-Self-Transcendent Emotion Dictionary (STED)-which can be uploaded into mainstream, text analytic software (e.g., LIWC) to identify and analyze self-transcendent emotions in large corpora. This dictionary tool was then refined and validated via three studies, where individual words were first rated with regard to their fitness into the proposed construct (Step 1), and then used to analyze essays written to reflect the corresponding construct (Step 2). Finally, the refined dictionary was applied to examine words used in nearly 4,000 human-coded New York Times articles (Step 3). Results indicated that the final dictionary, consisting of 351 lexicons and phrases, exhibits acceptable face and construct validity, and possesses a reasonable level of external validity and applicability. Despite its shortcoming in accounting for the rhetorical techniques ingrained in natural human language, the STED could be instrumental for social scientific inquiry of positive emotions in textual narratives.
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Dicionários como Assunto , Emoções , Idioma , Mineração de Dados , Esperança , Humanos , Narração , Jornais como Assunto , Psicolinguística , Semântica , Software , RedaçãoRESUMO
Machine learning (ML) systems are affected by a pervasive lack of transparency. The eXplainable Artificial Intelligence (XAI) research area addresses this problem and the related issue of explaining the behavior of ML systems in terms that are understandable to human beings. In many explanation of XAI approaches, the output of ML systems are explained in terms of low-level features of their inputs. However, these approaches leave a substantive explanatory burden with human users, insofar as the latter are required to map low-level properties into more salient and readily understandable parts of the input. To alleviate this cognitive burden, an alternative model-agnostic framework is proposed here. This framework is instantiated to address explanation problems in the context of ML image classification systems, without relying on pixel relevance maps and other low-level features of the input. More specifically, one obtains sets of middle-level properties of classification inputs that are perceptually salient by applying sparse dictionary learning techniques. These middle-level properties are used as building blocks for explanations of image classifications. The achieved explanations are parsimonious, for their reliance on a limited set of middle-level image properties. And they can be contrastive, because the set of middle-level image properties can be used to explain why the system advanced the proposed classification over other antagonist classifications. In view of its model-agnostic character, the proposed framework is adaptable to a variety of other ML systems and explanation problems.
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Processamento de Imagem Assistida por Computador , Aprendizado de Máquina , Modelos Teóricos , Dicionários como Assunto , HumanosRESUMO
PURPOSE: Compressive sensing (CS)-based image reconstruction methods have proposed random undersampling schemes that produce incoherent, noise-like aliasing artifacts, which are easier to remove. The denoising process is critically assisted by imposing sparsity-enforcing priors. Sparsity is known to be induced if the prior is in the form of the Lp (0 ≤ p ≤ 1) norm. CS methods generally use a convex relaxation of these priors such as the L1 norm, which may not exploit the full power of CS. An efficient, discrete optimization formulation is proposed, which works not only on arbitrary Lp -norm priors as some non-convex CS methods do, but also on highly non-convex truncated penalty functions, resulting in a specific type of edge-preserving prior. These advanced features make the minimization problem highly non-convex, and thus call for more sophisticated minimization routines. THEORY AND METHODS: The work combines edge-preserving priors with random undersampling, and solves the resulting optimization using a set of discrete optimization methods called graph cuts. The resulting optimization problem is solved by applying graph cuts iteratively within a dictionary, defined here as an appropriately constructed set of vectors relevant to brain MRI data used here. RESULTS: Experimental results with in vivo data are presented. CONCLUSION: The proposed algorithm produces better results than regularized SENSE or standard CS for reconstruction of in vivo data.
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Algoritmos , Dicionários como Assunto , Processamento de Imagem Assistida por Computador , Imageamento por Ressonância Magnética , HumanosRESUMO
This study compares how lexical inferencing and dictionary consultation affect L2 vocabulary acquisition. Sixty-one L1 Arabic undergraduates majoring in English language read target words in semi-authentic English reading materials and were either asked to guess their meaning or look it up in a dictionary. A pre- and delayed post-test measured participants' knowledge of target words and overall vocabulary size. The results show a significant and comparable learning effect for both vocabulary learning strategies (VLS), with a higher pre-test vocabulary size related to a larger learning effect for both VLS. In addition, the better participants were at guessing correctly, the better they learned words through inferencing. The results suggest that both VLS are equally effective for our learner group and that learners' overall vocabulary size influences the amount of learning that occurs when using these VLS.
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Idioma , Aprendizagem/fisiologia , Multilinguismo , Leitura , Estudantes/psicologia , Vocabulário , Adulto , Dicionários como Assunto , Feminino , Humanos , Testes de Linguagem , Masculino , Adulto JovemRESUMO
Modern neuromuscular electrodiagnosis (EDX) and neuromuscular ultrasound (NMUS) require a universal language for effective communication in clinical practice and research and, in particular, for teaching young colleagues. Therefore, the AANEM and the IFCN have decided to publish a joint glossary as they feel the need for an updated terminology to support educational activities in neuromuscular EDX and NMUS in all parts of the world. In addition NMUS has been rapidly progressing over the last years and is now widely used in the diagnosis of disorders of nerve and muscle in conjunction with EDX. This glossary has been developed by experts in the field of neuromuscular EDX and NMUS on behalf of the AANEM and the IFCN and has been agreed upon by electronic communication between January and November 2019. It is based on the glossaries of the AANEM from 2015 and of the IFCN from 1999. The EDX and NMUS terms and the explanatory illustrations have been updated and supplemented where necessary. The result is a comprehensive glossary of terms covering all fields of neuromuscular EDX and NMUS. It serves as a standard reference for clinical practice, education and research worldwide. HIGHLIGHTS: Optimal terminology in neuromuscular electrodiagnosis and ultrasound has been revisited. A team of international experts have revised and expanded a standardized glossary. This list of terms serves as standard reference for clinical practice, education and research.
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Dicionários como Assunto , Eletrodiagnóstico/classificação , Doenças Neuromusculares/classificação , Doenças Neuromusculares/diagnóstico por imagem , Sociedades Médicas/classificação , Ultrassonografia/classificação , Humanos , Estados UnidosRESUMO
Glosario útil para periodistas y comunicadores sobre términos utilizados durante brotes y epidemias.
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Pneumonia Viral/prevenção & controle , Infecções por Coronavirus/prevenção & controle , Jornalismo , Comunicação em Saúde , Betacoronavirus , Dicionários como AssuntoRESUMO
In September 2019, a prominent dictionary recognized they as a proper pronoun for nonbinary individuals. This change can be seen as a source of newfound legitimacy for students and trainees self-advocating for nonbinary pronoun recognition in health care practice and training. This article considers one student's experience after coming out as nonbinary and voicing that their pronouns are they/them.
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Competência Cultural , Atenção à Saúde , Educação Médica , Identidade de Gênero , Idioma , Justiça Social , Pessoas Transgênero , Dicionários como Assunto , Feminino , Humanos , Masculino , Relações Médico-Paciente , Estudantes , TransexualidadeRESUMO
Este glosario contiene los conceptos básicos para una evaluación eficaz del Modelo de madurez de los IS4H
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Humanos , Aplicações da Informática Médica , Telemedicina , Dicionários como Assunto , Sistemas de Informação em SaúdeRESUMO
During the last decade, there have been several publications highlighting the need for consistent terminology in breastfeeding research. Standard terms and definitions are essential for the comparison and interpretation of scientific studies that, in turn, support evidence-based education, consistency of health care, and breastfeeding policy. Inconsistent advice is commonly reported by mothers to contribute to early weaning. A standard language is the fundamental starting point required for the provision of consistent advice. LactaPedia (www.lactapedia.com) is a comprehensive lactation glossary of over 500 terms and definitions created during the development of LactaMap (www.lactamap.com), an online lactation care support system. This paper describes the development of LactaPedia, a website that is accessible free of charge to anyone with access to the Internet. Multiple methodological frameworks were incorporated in LactaPedia's development in order to meet the needs of a glossary to support both consistent health care and scientific research. The resulting LactaPedia methodology is a six-stage process that was developed inductively and includes framework to guide vetting and extension of its content using public feedback via discussion forums. The discussion forums support ongoing usability and refinement of the glossary. The development of LactaPedia provides a fundamental first step towards improving breastfeeding outcomes that are currently well below World Health Organisation recommendations globally.
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Aleitamento Materno , Dicionários como Assunto , Comunicação em Saúde/métodos , Lactação , Terminologia como Assunto , Feminino , Humanos , InternetRESUMO
BACKGROUND: The identification of sections in narrative content of Electronic Health Records (EHR) has demonstrated to improve the performance of clinical extraction tasks; however, there is not yet a shared understanding of the concept and its existing methods. The objective is to report the results of a systematic review concerning approaches aimed at identifying sections in narrative content of EHR, using both automatic or semi-automatic methods. METHODS: This review includes articles from the databases: SCOPUS, Web of Science and PubMed (from January 1994 to September 2018). The selection of studies was done using predefined eligibility criteria and applying the PRISMA recommendations. Search criteria were elaborated by using an iterative and collaborative keyword enrichment. RESULTS: Following the eligibility criteria, 39 studies were selected for analysis. The section identification approaches proposed by these studies vary greatly depending on the kind of narrative, the type of section, and the application. We observed that 57% of them proposed formal methods for identifying sections and 43% adapted a previously created method. Seventy-eight percent were intended for English texts and 41% for discharge summaries. Studies that are able to identify explicit (with headings) and implicit sections correspond to 46%. Regarding the level of granularity, 54% of the studies are able to identify sections, but not subsections. From the technical point of view, the methods can be classified into rule-based methods (59%), machine learning methods (22%) and a combination of both (19%). Hybrid methods showed better results than those relying on pure machine learning approaches, but lower than rule-based methods; however, their scope was more ambitious than the latter ones. Despite all the promising performance results, very few studies reported tests under a formal setup. Almost all the studies relied on custom dictionaries; however, they used them in conjunction with a controlled terminology, most commonly the UMLSâ metathesaurus. CONCLUSIONS: Identification of sections in EHR narratives is gaining popularity for improving clinical extraction projects. This study enabled the community working on clinical NLP to gain a formal analysis of this task, including the most successful ways to perform it.
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Registros Eletrônicos de Saúde , Narração , Dicionários como Assunto , Humanos , Aprendizado de Máquina , Terminologia como AssuntoRESUMO
The Moral Foundations Dictionary (MFD) is a useful tool for applying the conceptual framework developed in Moral Foundations Theory and quantifying the moral meanings implicated in the linguistic information people convey. However, the applicability of the MFD is limited because it is available only in English. Translated versions of the MFD are therefore needed to study morality across various cultures, including non-Western cultures. The contribution of this paper is two-fold. We developed the first Japanese version of the MFD (referred to as the J-MFD) using a semi-automated method-this serves as a reference when translating the MFD into other languages. We next tested the validity of the J-MFD by analyzing open-ended written texts about the situations that Japanese participants thought followed and violated the five moral foundations. We found that the J-MFD correctly categorized the Japanese participants' descriptions into the corresponding moral foundations, and that the Moral Foundations Questionnaire (MFQ) scores correlated with the frequency of situations, of total words, and of J-MFD words in the participants' descriptions for the Harm and Fairness foundations. The J-MFD can be used to study morality unique to the Japanese and also multicultural comparisons in moral behavior.