1,721,039 research outputs found
Improving the Assessment of COVID-19-Associated Posttraumatic Stress Disorder - Reply
covid-1
Who’s the leader, mania or depression? Predominant polarity and alcohol/polysubstance use in bipolar disorders
Background: Predominant polarity characterises patients who mainly manifest recurrences of depression or mania/hypomania. Alcohol use disorder (AUD) and polysubstance use (PSU), which often complicate bipolar disorder (BD) and affect its clinical course, can influence predominant polarity. Nevertheless, previous studies have not clarified if BD patients differ in predominant polarity from BD patients with substance use disorder (SUD) comorbidity. Objective: The aim of this study was to compare predominant polarity between BD without SUD, BD with AUD and BD with PSU. We also investigated the association between predominant polarity and first episode polarity in each diagnostic group. Method: We evaluated predominant polarity (≥2:1 lifetime depressive vs. manic/hypomanic episodes) in 218 DSM-IV-TR BD patients. Specifically, data were obtained from 86 patients with BD without SUD, 69 patients with BD and AUD, and 63 patients with BD and PSU with alcohol as the primary substance abused. Results: The three groups significantly differed for predominant polarity. The most common predominant polarity in BD without SUD was manic, while in BD with AUD and in BD with PSU it was depressive. Uncertain predominant polarity was the least common in BD without SUD and BD with PSU, whereas in BD with AUD, manic predominant polarity was least common. Predominant polarity matched onset polarity in all groups. Conclusion: BD without SUD, BD with AUD, and BD with PSU have different predominant polarities. The correspondence between predominant polarity and polarity at onset may impact diagnosis and treatment of BD
Understanding trauma-induced hippocampal subfield volume changes in the context of age and health. Response to Malhi et al
It is important to integrate findings converging from different perspectives to better contextualize hippocampal subfield changes induced by childhood trauma (CT). Here we integrate Malhi's et al. model on this issue. Understanding the complex neurobiological mechanisms underpinning CT could address the multifaceted nature of resilience to traumatic life experiences that may cause different effects in health and disease
Clinical Picture, Temperament, and Personality of Patients with Mixed States
The construct of mixed states is a robust clinical entity with a high variability of prevalence according to different diagnostic criteria. Despite the changes over the years, current official diagnostic criteria still have poor clinical usefulness. Premorbid characteristics with a potential high clinical importance such as temperament, personality, and emotional reactivity are understudied in patients with mixed states and excluded from the current nosologic systems. The authors provide an overview of current nosography and clinical pictures of mixed states and discuss the role of temperament, personality, and emotional reactivity in mixed states
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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