41,886 results match your criteria language processing


Which cognitive and linguistc factors influence phonological processing in adolescents?

Codas 2021 18;34(1):e20200158. Epub 2021 Oct 18.

Departamento de Fonoaudiologia, Universidade de Brasília - UnB - Brasília (DF), Brasil.

Purpose: To characterize phonological processing of adolescents and to identify language skills and cognitive functions that influence their age group.

Methods: 83 typical adolescents aged from 11 to 16 years of age participated in the research. Phonological awareness tests, rapid automatic naming, neuropsychological assessment and reading were used. Read More

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October 2021

Valence, Arousal and Concreteness Mediate Word Association.

Psicothema 2021 11;33(4):602-609

Universidad Antonio de Nebrija.

Background: Given the impact of lexical properties such as valence, arousal, and concreteness in language processing, recent computational methods have been designed to extrapolate these values from different sources, such as word co-occurrence or word association corpora. These methods have been proven to be particularly successful approaches to extract lexical features from word association data. Consequently, valence, arousal and concreteness seem to be represented in word association, and we hypothesize that they might in fact be critical mediators in the process. Read More

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November 2021

Ensuring Adolescent Patient Portal Confidentiality in the Age of the Cures Act Final Rule.

J Adolesc Health 2021 Oct 16. Epub 2021 Oct 16.

Information Services, Stanford Children's Health, Stanford, California.

Purpose: Managing confidential adolescent health information in patient portals presents unique challenges. Adolescent patients and guardians electronically access medical records and communicate with providers via portals. In confidential matters like sexual health, ensuring confidentiality is crucial. Read More

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October 2021

German translation and pre-testing of Consolidated Framework for Implementation Research (CFIR) and Expert Recommendations for Implementing Change (ERIC).

Implement Sci Commun 2021 Oct 19;2(1):120. Epub 2021 Oct 19.

Faculty for Applied Health and Social Sciences and Centre for Research, Development and Technology Transfer, Rosenheim Technical University of Applied Sciences, Hochschulstraße 1, 83024, Rosenheim, Germany.

Background: Implementation frameworks may support local implementation strategies with a sound theoretical foundation. The Consolidated Framework for Implementation Research (CFIR) facilitates identification of contextual barriers and facilitators, and the Expert Recommendations for Implementing Change (ERIC) allows identifying adequate implementation strategies. Both instruments are already used in German-speaking countries; however, no standardised and validated translation is available thus far. Read More

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October 2021

Distributional social semantics: Inferring word meanings from communication patterns.

Authors:
Brendan T Johns

Cogn Psychol 2021 Oct 16;131:101441. Epub 2021 Oct 16.

Department of Psychology, McGill University, 2001 McGill College Avenue, Montreal, Quebec H3A 1G1, Canada. Electronic address:

Distributional models of lexical semantics have proven to be powerful accounts of how word meanings are acquired from the natural language environment (Günther, Rinaldi, & Marelli, 2019; Kumar, 2020). Standard models of this type acquire the meaning of words through the learning of word co-occurrence statistics across large corpora. However, these models ignore social and communicative aspects of language processing, which is considered central to usage-based and adaptive theories of language (Tomasello, 2003; Beckner et al. Read More

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October 2021

Modeling Sequential Annotations for Sequence Labeling With Crowds.

IEEE Trans Cybern 2021 Oct 19;PP. Epub 2021 Oct 19.

Crowd sequential annotations can be an efficient and cost-effective way to build large datasets for sequence labeling. Different from tagging independent instances, for crowd sequential annotations, the quality of label sequence relies on the expertise level of annotators in capturing internal dependencies for each token in the sequence. In this article, we propose modeling sequential annotation for sequence labeling with crowds (SA-SLC). Read More

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October 2021

Partial Least Squares Analysis of Alzheimer's Disease Biomarkers, Modifiable Health Variables, and Cognition in Older Adults with Mild Cognitive Impairment.

J Int Neuropsychol Soc 2021 Oct 19:1-9. Epub 2021 Oct 19.

Department of Psychology, The Ohio State University, Columbus, OH, USA.

Objectives: To identify novel associations between modifiable physical and health variables, Alzheimer's disease (AD) biomarkers, and cognitive function in a cohort of older adults with Mild Cognitive Impairment (MCI).

Methods: Metrics of cardiometabolic risk, stress, inflammation, neurotrophic/growth factors, AD, and cognition were assessed in 154 MCI participants (Mean age = 74.1 years) from the Alzheimer's Disease Neuroimaging Initiative. Read More

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October 2021

The extent of task specificity for visual and tactile sequences in the auditory cortex of the deaf and hard of hearing.

J Neurosci 2021 Oct 15. Epub 2021 Oct 15.

Institute of Psychology, Jagiellonian University, Krakow, Poland

It has been proposed that the auditory cortex in the deaf humans might undergo task-specific reorganization. However, evidence remains scarce as previous experiments used only two very specific tasks (temporal processing and face perception) in visual modality. Here, congenitally deaf/hard of hearing and hearing women and men were enrolled in an fMRI experiment as we sought to fill this evidence gap in two ways. Read More

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October 2021

A representation and deep learning model for annotating ubiquitylation sentences stating E3 ligase - substrate interaction.

BMC Bioinformatics 2021 Oct 18;22(1):507. Epub 2021 Oct 18.

Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, China.

Background: Ubiquitylation is an important post-translational modification of proteins that not only plays a central role in cellular coding, but is also closely associated with the development of a variety of diseases. The specific selection of substrate by ligase E3 is the key in ubiquitylation. As various high-throughput analytical techniques continue to be applied to the study of ubiquitylation, a large amount of ubiquitylation site data, and records of E3-substrate interactions continue to be generated. Read More

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October 2021

Reduced midbrain functional connectivity and recovery in abstinent heroin users.

J Psychiatr Res 2021 Oct 11;144:168-176. Epub 2021 Oct 11.

School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, China. Electronic address:

Dopaminergic pathways from the midbrain to striatum as well as cortex are involved in addiction. However, the alternations of these pathways and whether the recoveries of aberrant circuits would be detected after prolonged abstinence in heroin users are rarely known. The resting-state functional connectivity (RSFC) patterns of midbrain (i. Read More

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October 2021

Natural language processing for cognitive therapy: Extracting schemas from thought records.

PLoS One 2021 18;16(10):e0257832. Epub 2021 Oct 18.

Department of Intelligent Systems, Delft University of Technology, Delft, Netherlands.

The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that caused pathogenic emotional responses. The schemas underlying such thought records have, thus far, been largely manually identified. Read More

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October 2021

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

J Med Internet Res 2021 Sep 28. Epub 2021 Sep 28.

System Modeling Group, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Königsweg 67, Berlin, DE.

Background: There is a limited amount of data on the COVID-19 vector vaccine Gam-COVID-Vac (Sputnik V) safety profile. Previous infodemiology studies showed that social media discourse could be analyzed to assess the most concerning adverse events (AE) caused by drugs.

Objective: We aimed to investigate mild AEs of Sputnik V based on a participatory trial conducted on Telegram in the Russian language. Read More

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September 2021

Identifying and classifying goals for scientific knowledge.

Bioinform Adv 2021 28;1(1):vbab012. Epub 2021 Jul 28.

Computational Bioscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.

Motivation: Science progresses by posing good questions, yet work in biomedical text mining has not focused on them much. We propose a novel idea for biomedical natural language processing: identifying and characterizing the stated in the biomedical literature. Formally, the task is to identify and characterize , statements where scientific knowledge is missing or incomplete. Read More

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Using genetic algorithms to uncover individual differences in how humans represent facial emotion.

R Soc Open Sci 2021 Oct 13;8(10):202251. Epub 2021 Oct 13.

School of Biological and Chemical Sciences, Department of Psychology, Queen Mary University of London, G. E. Fogg Building, Mile End Road, London E1 4DQ, UK.

Emotional facial expressions critically impact social interactions and cognition. However, emotion research to date has generally relied on the assumption that people represent categorical emotions in the same way, using standardized stimulus sets and overlooking important individual differences. To resolve this problem, we developed and tested a task using to derive assumption-free, participant-generated emotional expressions. Read More

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October 2021

Capturing the Trajectory of Psychological Status and Analyzing Online Public Reactions During the Coronavirus Disease 2019 Pandemic Through Weibo Posts in China.

Front Psychol 2021 29;12:744691. Epub 2021 Sep 29.

State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.

When a major, sudden infectious disease occurs, people tend to react emotionally and display reactions such as tension, anxiety, fear, depression, and somatization symptoms. Social media played a substantial awareness role in developing countries during the outbreak of coronavirus disease 2019 (COVID-19). This study aimed to analyze public opinion regarding COVID-19 and to explore the trajectory of psychological status and online public reactions to the COVID-19 pandemic by examining online content from Weibo in China. Read More

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September 2021

Cross-Dialectal Novel Word Learning and Borrowing.

Front Psychol 2021 30;12:734527. Epub 2021 Sep 30.

Leiden University Centre for Linguistics, Leiden, Netherlands.

The objective of this paper was to study the cognitive processes underlying cross-dialectal novel word borrowing and loanword establishment in a Standard-Chinese-to-Shanghainese (SC-SH) auditory lexical learning and borrowing experiment. To investigate these underlying cognitive processes, SC-SH bi-dialectals were compared with SC monolectals as well as bi-dialectals of SC and other Chinese dialects (OD) to investigate the influence of short-term and long-term linguistic experience. Both comprehension and production borrowings were tested. Read More

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September 2021

Processing Verb Meanings and the Declarative/Procedural Model: A Developmental Study.

Front Psychol 2021 30;12:714523. Epub 2021 Sep 30.

Laboratoire C2S (Cognition, Santé, Société), Université de Reims Champagne-Ardenne, Reims, France.

According to the Declarative/Procedural Model, the lexicon depends on declarative memory while grammar relies on procedural memory. Furthermore, procedural memory underlies the sequential processing of language. Thus, this system is important for predicting the next item in a sentence. Read More

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September 2021

Does L2 Proficiency Impact L2-L1 Transfer While Reading L1 Collocations? Evidence From Behavioral and ERP Data.

Front Psychol 2021 29;12:673761. Epub 2021 Sep 29.

Faculty of Philosophy, Institute of Psychology, Jagiellonian University, Kraków, Poland.

Multi-word expressions (MWEs) are fixed, conventional phrases often used by native speakers of a given language (L1). The type of MWEs investigated in this study were collocations. For bilinguals who have intensive contact with the second language (L2), collocational patterns can be transferred from the L2 to the L1 as a result of cross-linguistic influence (CLI). Read More

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September 2021

Identification of efflux proteins based on contextual representations with deep bidirectional transformer encoders.

Anal Biochem 2021 Oct 14;633:114416. Epub 2021 Oct 14.

Department of Computer Science & Engineering, Yuan Ze University, Chungli, 32003, Taiwan. Electronic address:

Efflux proteins are the transport proteins expressed in the plasma membrane, which are involved in the movement of unwanted toxic substances through specific efflux pumps. Several studies based on computational approaches have been proposed to predict transport proteins and thereby to understand the mechanism of the movement of ions across cell membranes. However, few methods were developed to identify efflux proteins. Read More

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October 2021

Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.

JACC Cardiovasc Imaging 2021 Oct 7. Epub 2021 Oct 7.

Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address:

Objectives: This study sought to develop DL models capable of comprehensively quantifying left and right ventricular dysfunction from ECG data in a large, diverse population.

Background: Rapid evaluation of left and right ventricular function using deep learning (DL) on electrocardiograms (ECGs) can assist diagnostic workflow. However, DL tools to estimate right- ventricular (RV) function do not exist, whereas those to estimate left ventricular (LV) function are restricted to quantification of very low LV function only. Read More

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October 2021

Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.

BMC Bioinformatics 2021 Oct 16;22(1):500. Epub 2021 Oct 16.

School of Computing, University of North Florida, Jacksonville, USA.

Background: Identifying human protein-phenotype relationships has attracted researchers in bioinformatics and biomedical natural language processing due to its importance in uncovering rare and complex diseases. Since experimental validation of protein-phenotype associations is prohibitive, automated tools capable of accurately extracting these associations from the biomedical text are in high demand. However, while the manual annotation of protein-phenotype co-mentions required for training such models is highly resource-consuming, extracting millions of unlabeled co-mentions is straightforward. Read More

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October 2021

The impact of transparency on hemispheric lateralization of idiom comprehension: An rTMS study.

Neuropsychologia 2021 Oct 13:108062. Epub 2021 Oct 13.

Bar Ilan University, Department of Psychology, and the Gonda Brain Research Center, Israel.

Previous neuropsychological data have equivocal suggestions concerning hemispheric involvement during idiom comprehension. The possible contribution of idioms transparency to the lateralization of figurative language comprehension has not been investigated using an interference technique. To analyse the cortical lateralization of idiom transparency processing, we employed inhibitory repetitive transcranial magnetic stimulation (rTMS) to the left and right dorsolateral prefrontal cortex (DLPFC) during the processing of opaque idioms, transparent idioms, and non-idiomatic literal phrases. Read More

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October 2021

The Very Preterm Brain at Rest: Longitudinal Social-Cognitive Network Connectivity During Childhood.

Soc Cogn Affect Neurosci 2021 Oct 16. Epub 2021 Oct 16.

Neurosciences & Mental Health, SickKids Research Institute, Canada.

Very preterm birth (VPT: ≤32 weeks gestational age) poses an increased risk for social and cognitive morbidities that persist throughout life. Resting state functional network connectivity studies provide information about the intrinsic capacity for cognitive processing. We studied four social-cognitive resting state networks: the default mode, salience, frontal-parietal and language networks. Read More

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October 2021

DUKweb, diachronic word representations from the UK Web Archive corpus.

Sci Data 2021 Oct 15;8(1):269. Epub 2021 Oct 15.

The Alan Turing Institute, London, United Kingdom.

Lexical semantic change (detecting shifts in the meaning and usage of words) is an important task for social and cultural studies as well as for Natural Language Processing applications. Diachronic word embeddings (time-sensitive vector representations of words that preserve their meaning) have become the standard resource for this task. However, given the significant computational resources needed for their generation, very few resources exist that make diachronic word embeddings available to the scientific community. Read More

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October 2021

Association of Social Support With Overall Survival and Healthcare Utilization in Patients With Aggressive Hematologic Malignancies.

J Natl Compr Canc Netw 2021 Oct 15:1-7. Epub 2021 Oct 15.

1Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital.

Background: Social support plays a crucial role for patients with aggressive hematologic malignancies as they navigate their illness course. The aim of this study was to examine associations of social support with overall survival (OS) and healthcare utilization in this population.

Methods: A cross-sectional secondary analysis was conducted using data from a prospective longitudinal cohort study of 251 hospitalized patients with aggressive hematologic malignancies at Massachusetts General Hospital from 2014 through 2017. Read More

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October 2021

Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing.

Int J Med Inform 2021 Oct 5;156:104611. Epub 2021 Oct 5.

Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia, Australia; Discipline of Clinical Pharmacology, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.

Background: The penicillin adverse drug reaction (ADR) label is common in electronic health records (EHRs). However, there is significant misclassification between allergy and intolerance within the EHR and most patients can be delabelled after an immunologic assessment. Machine learning natural language processing may be able to assist with the categorisation and risk stratification of penicillin ADRs. Read More

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October 2021

Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community.

JMIR Diabetes 2021 Oct 15;6(4):e30756. Epub 2021 Oct 15.

Department of Psychology, University of Oregon, Eugene, OR, United States.

Background: Social media platforms, such as Twitter, are increasingly popular among communities of people with chronic conditions, including those with type 1 diabetes (T1D). There is some evidence that social media confers emotional and health-related benefits to people with T1D, including emotional support and practical information regarding health maintenance. Research on social media has primarily relied on self-reports of web-based behavior and qualitative assessment of web-based content, which can be expensive and time-consuming. Read More

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October 2021

Sentiment Classification of News Text Data Using Intelligent Model.

Authors:
Shitao Zhang

Front Psychol 2021 28;12:758967. Epub 2021 Sep 28.

School of Network Communication, Zhejiang Yuexiu University, Shaoxing, China.

Text sentiment classification is a fundamental sub-area in natural language processing. The sentiment classification algorithm is highly domain-dependent. For example, the phrase "traffic jam" expresses negative sentiment in the sentence "I was stuck in a traffic jam on the elevated for 2 h. Read More

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September 2021

Prediction Impairment May Explain Communication Difficulties in Autism.

Front Psychol 2021 28;12:734024. Epub 2021 Sep 28.

Center for Language and Cognition Groningen, University of Groningen, Groningen, Netherlands.

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September 2021

False Memories in Native and Foreign Languages.

Front Psychol 2021 28;12:716336. Epub 2021 Sep 28.

Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.

Human memory is prone to memory errors and distortion. Evidence from studies on cognitive functions in bilinguals indicates that they might be prone to different types of memory errors compared to monolinguals; however, the effect of language in false memories is still understudied. Source monitoring processes required for proper memory functioning, presumably, rely on inhibitory control, which is also heavily utilized by bilinguals. Read More

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September 2021