Bilingual episodic memory: an introduction

Our current models of bilingual memory are essentially accounts of semantic memory whose goal is to explain bilingual lexical access to underlying imagistic and conceptual referents. While this research has included episodic memory, it has focused largely on recall for words, phrases, and sentences in the service of understanding the structure of semantic memory. Building on the four papers in this special issue, this article focuses on larger units of episodic memory(from quotidian events with simple narrative form to complex autobiographical memories) in service of developing a model of bilingual episodic memory. This requires integrating theory and research on how culture-specific narrative traditions inform encoding and retrieval with theory and research on the relation between(monolingual) semantic and episodic memory(Schank, 1982; Schank & Abelson, 1995; Tulving, 2002). Then, taking a cue from memory-based text processing studies in psycholinguistics(McKoon & Ratcliff, 1998), we suggest that as language forms surface in the progressive retrieval of features of an event, they trigger further forms within the same language serving to guide a within-language/ within-culture retrieval

La intervención humor en la interacción enfermero-paciente

Objective: To describe the factors influencing the use of humor in nursing care, its applicability and benefits. Method: A scoping review was performed using the Arksey and O’Mally methodology. A search for articles published between 2008 and 2018 was performed using the platforms EBSCO Host, Virtual Health Library and Google Scholar. Results: From the initial 465 articles found, 17 were included for final revision. Data allowed to retrieve information on humor definition; its applicability as a nursing intervention; humor as a tool to improve nurse-patient communication and relationship; influence factors; type of humor interventions; humor benefits in health care context and; limitations and precautions of humor intervention. Conclusion: The use of humor promotes both communication and human interaction; it promotes well-being; helps deal/cope with difficult and unpleasant situations, reduces tension, discomfort and stress; and strengthens the immune system. This intervention should be used with caution

Integrating speculation detection and deep learning to extract lung cancer diagnosis from clinical notes

Despite efforts to develop models for extracting medical concepts from clinical notes, there are still some challenges in particular to be able to relate concepts to dates. The high number of clinical notes written for each single patient, the use of negation, speculation, and different date formats cause ambiguity that has to be solved to reconstruct the patient’s natural history. In this paper, we concentrate on extracting from clinical narratives the cancer diagnosis and relating it to the diagnosis date. To address this challenge, a hybrid approach that combines deep learning-based and rule-based methods is proposed. The approach integrates three steps: (i) lung cancer named entity recognition, (ii) negation and speculation detection, and (iii) relating the cancer diagnosis to a valid date. In particular, we apply the proposed approach to extract the lung cancer diagnosis and its diagnosis date from clinical narratives written in Spanish. Results obtained show an F-score of 90% in the named entity recognition task, and a 89% F-score in the task of relating the cancer diagnosis to the diagnosis date. Our findings suggest that speculation detection is together with negation detection a key component to properly extract cancer diagnosis from clinical notesThis work is supported by the EU Horizon 2020 innovation program under grant agreement No. 780495, project BigMedilytics (Big Data for Medical Analytics). It has been also supported by Fundación AECC and Instituto de Salud Carlos III (grant AC19/00034), under the frame of ERA-NET PerMe

Hepatitis C Virus and Hepatocellular Carcinoma: Pathogenetic Mechanisms and Impact of Direct-Acting Antivirals

INTRODUCTION: Globally, between 64 and 103 million people are chronically infected with Hepatitis C virus (HCV), with more than 4.6 million people in the United States and is associated with more than 15.000 deaths annually. Chronic infection can result in cirrhosis and hepatocellular carcinoma. EXPLANATION: Epidemiological studies have indicated that persistent infection with hepatitis C virus (HCV) is a major risk for the development of hepatocellular carcinoma (HCC), mainly through chronic inflammation, cell deaths, and proliferation. Despite the new direct-acting antiviral drugs (DAA's) being able to clear the HCV, HCC recurrence rate in these patients is still observed. CONCLUSION: In this review we highlighted some aspects that could be involved in the onset of HCV-induced HCC such as immune system, viral factors and host genetics factors.Moreover, we focused on some of the last reports about the effects of DAA's on the HCV clearance and their potential implications in HCC recurrence

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past decade or so, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of Natural Language Processing, with an emphasis on different evaluation methods and the relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118 pages, 8 figures, 1 tabl

Cognitive Disability Aesthetics

Cognitive Disability Aesthetics explores the invisibility of cognitive disability in theoretical, historical, social, and cultural contexts. Fraser’s cutting edge research and analysis signals a second-wave in disability studies that prioritizes cognition. He expands upon previous research into physical disability representations and focuses on those disabilities that tend to be least visible in society (autism, Down syndrome, Alzheimer's disease, schizophrenia). Moving beyond established literary approaches analyzing prose representations of disability, the book explores how iconic and indexical modes of signification operate in visual texts. Cognitive Disability Aesthetics successfully reconfigures disability studies in the humanities and exposes the chasm that exists between Anglophone disability studies and disability studies in the Hispanic world

Narrative abilities in early successive bilingual Slovak–English children: a cross-language comparison

This study investigates macrostructure skill transfer in successive bilingual children speaking Slovak and English, a new language combination for narrative research. We examined whether narrative performance reflected language dominance and assessed relationships between nonword repetition (NWR) and narrative skills within and across languages. Forty typically developing Slovak–English bilingual children (mean age = 5 years, 10 months) were evaluated for microstructure and macrostructure performance in both languages through story telling and retelling tasks. In addition, NWR was assessed in Slovak, the children's first language (L1). Macrostructure scores were higher in their L1 than in their second language (L2), but comprehension did not differ across languages. L1 NWR was significantly related to L1 microstructure scores, but not to L1/L2 macrostructure or L2 microstructure. Implications for assessing bilingual children's language are discussed

Do Marked Topics Enhance Memory?

We examined the effects of markedness, the deviation from the canonical Subject-Verb-Object structure in English, on the memory of listeners for the topic of the sentence. We used three marked topic constructions: Left-Dislocation, Object-Fronting, and Subject-Marking. Sentences with these structures were inserted as the 6th item in lists of 12 canonical sentences. In all sentences the topic was the name of a man. We measured recall of the critical name. The results revealed that topics of Left-Dislocated sentences were recalled more than topics of the other constructions, with topics of Object-Fronting sentences recalled the least. We briefly discuss how sentence processing procedures might give rise to these effects

IMPACT: The Journal of the Center for Interdisciplinary Teaching and Learning. Volume 5, Issue 2, Summer 2016

Impact: The Journal of the Center for Interdisciplinary Teaching & Learning is a peer-reviewed, biannual online journal that publishes scholarly and creative non-fiction essays about the theory, practice and assessment of interdisciplinary education. Impact is produced by the Center for Interdisciplinary Teaching & Learning at the College of General Studies, Boston University (www.bu.edu/cgs/citl)