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Scientific Reports Nov 2023With the blurring of boundaries in this digital age, there is increasing concern around work-personal conflict. Assessing and tracking work-personal conflict is critical...
With the blurring of boundaries in this digital age, there is increasing concern around work-personal conflict. Assessing and tracking work-personal conflict is critical as it not only affects individual workers but is also a vital measure among broader well-being and economic indices. This inductive study examines the extent to which work-personal conflict corresponds to individuals' language use on social media. We apply an open-vocabulary analysis to the posts of 2810 Facebook users who also completed a survey for an established work-personal conflict scale. It was found that the language-based model can predict personal-to-work conflict (r = 0.23) and work-to-personal conflict (r = 0.15) and provide important insights into such conflicts. Specifically, we found that high personal-to-work conflict was associated with netspeak and swearing, while low personal-to-work conflict was associated with language about work and positivity. We found that high work-to-personal conflict was associated with negative emotion and negative tone, while low work-to-personal conflict was associated with positive emotion and language about birthdays.
Topics: Humans; Language; Social Media; Surveys and Questionnaires
PubMed: 38030792
DOI: 10.1038/s41598-023-48193-3 -
Journal of Thoracic Disease Oct 2023Chronic obstructive pulmonary disease (COPD) is a significant contributor to global morbidity and mortality. Quantitative computed tomography (QCT), a non-invasive... (Review)
Review
BACKGROUND AND OBJECTIVE
Chronic obstructive pulmonary disease (COPD) is a significant contributor to global morbidity and mortality. Quantitative computed tomography (QCT), a non-invasive imaging modality, offers the potential to assess lung structure and function in COPD patients. Amidst the coronavirus disease 2019 (COVID-19) pandemic, chest computed tomography (CT) scans have emerged as a viable alternative for assessing pulmonary function (e.g., spirometry), minimizing the risk of aerosolized virus transmission. However, the clinical application of QCT measurements is not yet widespread enough, necessitating broader validation to determine its usefulness in COPD management.
METHODS
We conducted a search in the PubMed database in English from January 1, 2013 to April 20, 2023, using keywords and controlled vocabulary related to QCT, COPD, and cohort studies.
KEY CONTENT AND FINDINGS
Existing studies have demonstrated the potential of QCT in providing valuable information on lung volume, airway geometry, airway wall thickness, emphysema, and lung tissue density in COPD patients. Moreover, QCT values have shown robust correlations with pulmonary function tests, and can predict exacerbation risk and mortality in patients with COPD. QCT can even discern COPD subtypes based on phenotypic characteristics such as emphysema predominance, supporting targeted management and interventions.
CONCLUSIONS
QCT has shown promise in cohort studies related to COPD, since it can provide critical insights into the pathogenesis and progression of the disease. Further research is necessary to determine the clinical significance of QCT measurements for COPD management.
PubMed: 37969311
DOI: 10.21037/jtd-23-1421 -
Journal of Communication Disorders 2023Late talkers represent a heterogeneous population. We aimed to describe communication profiles of low-risk preterm and full-term late talkers according to their...
INTRODUCTION
Late talkers represent a heterogeneous population. We aimed to describe communication profiles of low-risk preterm and full-term late talkers according to their receptive and expressive vocabulary size, considering communicative, linguistic, cognitive, and motor skills, as well as biological and environmental risk factors.
METHODS
Sixty-eight late talkers (33 born low-risk preterm and 35 full-term) were identified through a language screening at 30 months. Parents filled out the Italian Short Forms of the MacArthur Bates Communicative Development Inventories and the Socio Conversational Skills Rating Scales. Children were assessed with the Picture Naming Game test and the Bayley Scales of Infant and Toddler Development.
RESULTS
A two-step cluster analysis identified three distinct profiles among late talkers according to their receptive and expressive vocabulary size. Severe late talkers (25%) showed less frequent use of pointing, limited verbal imitation, receptive vocabulary size, lexical and sentence production, responsiveness and assertiveness, and lower cognitive scores than mild late talkers (40%). Moderate late talkers (35%) showed less frequent verbal imitation, limited lexical and sentence production and lower cognitive scores than mild late talkers. Male gender was significantly more represented in the severe late profile, whereas other biological and environmental factors did not differ among the three profiles.
CONCLUSIONS
Findings highlighted the relevance of assessing communicative, lexical, grammar, pragmatic, and cognitive skills to describe late talkers' profiles. A deeper investigation of phonological skills might also contribute to a further understanding of interindividual variability in this population.
Topics: Infant, Newborn; Infant; Humans; Male; Communication; Vocabulary; Linguistics; Parents; Italy; Language Development Disorders; Language Development
PubMed: 37257297
DOI: 10.1016/j.jcomdis.2023.106336 -
Children (Basel, Switzerland) Dec 2023Previous research has highlighted an interplay between postural abilities and linguistic skills during infancy. However, this relationship could undergo further radical...
Previous research has highlighted an interplay between postural abilities and linguistic skills during infancy. However, this relationship could undergo further radical transformations in other periods of development. This current study explored a plausible network of relationships among postural abilities and vocabulary skills in a substantial cohort (N = 222) of preschoolers aged between 2 and 5 years-a developmental phase critical for refining both language and motor competencies. Here, postural stability was measured in terms of balance duration and accuracy, alongside an assessment of comprehension and expressive vocabulary skills. Employing a diverse set of techniques, i.e., data and missing data visualization and multilevel regression analysis, task complexity and age emerged as crucial factors explaining our data. In addition, network analysis indicates that language production plays a central role within postural and language interdomain networks. The resulting discussion focuses on the useful implications of this study for the assessment of typical preschool development, which would benefit from tailored methodological inspections guided by developmental theories that are framed in inter-domain approaches.
PubMed: 38136093
DOI: 10.3390/children10121891 -
Journal of Proteome Research Jun 2024Enzymes are indispensable in many biological processes, and with biomedical literature growing exponentially, effective literature review becomes increasingly...
Enzymes are indispensable in many biological processes, and with biomedical literature growing exponentially, effective literature review becomes increasingly challenging. Natural language processing methods offer solutions to streamline this process. This study aims to develop an annotated enzyme corpus for training and evaluating enzyme named entity recognition (NER) models. A novel pipeline, combining dictionary matching and rule-based keyword searching, automatically annotated enzyme entities in >4800 full-text publications. Four deep learning NER models were created with different vocabularies (BioBERT/SciBERT) and architectures (BiLSTM/transformer) and evaluated on 526 manually annotated full-text publications. The annotation pipeline achieved an 1-score of 0.86 (precision = 1.00, recall = 0.76), surpassed by fine-tuned transformers for 1-score (BioBERT: 0.89, SciBERT: 0.88) and recall (0.86) with BiLSTM models having higher precision (0.94) than transformers (0.92). The annotation pipeline runs in seconds on standard laptops with almost perfect precision, but was outperformed by fine-tuned transformers in terms of 1-score and recall, demonstrating generalizability beyond the training data. In comparison, SciBERT-based models exhibited higher precision, and BioBERT-based models exhibited higher recall, highlighting the importance of vocabulary and architecture. These models, representing the first enzyme NER algorithms, enable more effective enzyme text mining and information extraction. Codes for automated annotation and model generation are available from https://github.com/omicsNLP/enzymeNER and https://zenodo.org/doi/10.5281/zenodo.10581586.
Topics: Deep Learning; Algorithms; Natural Language Processing; Enzymes; Molecular Sequence Annotation; Humans; Data Mining
PubMed: 38733346
DOI: 10.1021/acs.jproteome.3c00367 -
Neuropsychology Review Dec 2023Although attention and early associative learning in preverbal children is predominantly driven by rapid eye-movements in response to moving visual stimuli and... (Meta-Analysis)
Meta-Analysis Review
Although attention and early associative learning in preverbal children is predominantly driven by rapid eye-movements in response to moving visual stimuli and sounds/words (e.g., associating the word "bottle" with the object), the literature examining the role of visual attention and memory in ongoing vocabulary development across childhood is limited. Thus, this systematic review and meta-analysis examined the association between visual memory and vocabulary development, including moderators such as age and task selection, in neurotypical children aged 2-to-12 years, from the brain-based perspective of cognitive neuroscience. Visual memory tasks were classified according to the visual characteristics of the stimuli and the neural networks known to preferentially process such information, including consideration of the distinction between the ventral visual stream (processing more static visuo-perceptual details, such as form or colour) and the more dynamic dorsal visual stream (processing spatial temporal action-driven information). Final classifications included spatio-temporal span tasks, visuo-perceptual or spatial concurrent array tasks, and executive judgment tasks. Visuo-perceptual concurrent array tasks, reliant on ventral stream processing, were moderately associated with vocabulary, while tasks measuring spatio-temporal spans, associated with dorsal stream processing, and executive judgment tasks (central executive), showed only weak correlations with vocabulary. These findings have important implications for health professionals and researchers interested in language, as they advocate for the development of more targeted language learning interventions that include specific and relevant aspects of visual processing and memory, such as ventral stream visuo-perceptual details (i.e., shape or colour).
Topics: Child; Humans; Vocabulary; Memory; Visual Perception; Brain; Language
PubMed: 36136174
DOI: 10.1007/s11065-022-09561-4 -
Brain Sciences Jul 2023Explaining individual differences in vocabulary in autism is critical, as understanding and using words to communicate are key predictors of long-term outcomes for...
Explaining individual differences in vocabulary in autism is critical, as understanding and using words to communicate are key predictors of long-term outcomes for autistic individuals. Differences in audiovisual speech processing may explain variability in vocabulary in autism. The efficiency of audiovisual speech processing can be indexed via amplitude suppression, wherein the amplitude of the event-related potential (ERP) is reduced at the P2 component in response to audiovisual speech compared to auditory-only speech. This study used electroencephalography (EEG) to measure P2 amplitudes in response to auditory-only and audiovisual speech and norm-referenced, standardized assessments to measure vocabulary in 25 autistic and 25 nonautistic children to determine whether amplitude suppression (a) differs or (b) explains variability in vocabulary in autistic and nonautistic children. A series of regression analyses evaluated associations between amplitude suppression and vocabulary scores. Both groups demonstrated P2 amplitude suppression, on average, in response to audiovisual speech relative to auditory-only speech. Between-group differences in mean amplitude suppression were nonsignificant. Individual differences in amplitude suppression were positively associated with expressive vocabulary through receptive vocabulary, as evidenced by a significant indirect effect observed across groups. The results suggest that efficiency of audiovisual speech processing may explain variance in vocabulary in autism.
PubMed: 37508976
DOI: 10.3390/brainsci13071043 -
Brain and Cognition Dec 2023Hyperlexia, a strong orientation towards written materials, along with a discrepancy between the precocious acquisition of decoding skills and weaker comprehension...
BACKGROUND
Hyperlexia, a strong orientation towards written materials, along with a discrepancy between the precocious acquisition of decoding skills and weaker comprehension abilities, characterizes up to 20% of autistic children. Sometimes perceived as an obstacle to oral language acquisition, hyperlexia may alternatively be the first step in a non-social pathway of language acquisition in autism.
METHOD
We describe two monozygotic twin brothers, both autistic and hyperlexic, from the ages of 4 to 8 years old. Following an in-depth diagnostic assessment, we investigated cross-sectionally and longitudinally their verbal and non-verbal cognitive abilities, language, reading and writing skills, interests, and strengths.
RESULTS
The twins' features, including their high non-verbal level of intelligence, their special interests, and their skills in various domains, were highly similar. Their language consisted exclusively of letters and numbers until their fourth year. After that, their vocabulary broadened until they developed full sentences, and their perception-related interests expanded and merged over time to serve the development of other skills.
CONCLUSION
Our results show that hyperlexic skills can be harnessed to favor oral language development. Given the strong concordance between the twins' cognitive and behavioral phenotypes, we discuss the environmental and genetic influence that could explain their abilities.
Topics: Child; Child, Preschool; Humans; Male; Autistic Disorder; Language Development; Longitudinal Studies; Reading; Twins, Monozygotic
PubMed: 37839243
DOI: 10.1016/j.bandc.2023.106099 -
AMIA ... Annual Symposium Proceedings.... 2023We present a method to enrich controlled medication terminology from free-text drug labels. This is important because, while controlled medication terminology capture...
We present a method to enrich controlled medication terminology from free-text drug labels. This is important because, while controlled medication terminology capture well-structured medication information, much of the information pertaining to medications is still found in free-text. First, we compared different Named Entity Recognition (NER) models including rule-based, feature-based, deep learning-based models with Transformers as well as ChatGPT, few-shot and fine-tuned GPT-3 to find the most suitable model that accurately extracts medication entities (ingredients, brand, dose, etc.) from free-text. Then, a rule-based Relation Extraction algorithm transforms NER results into a well-structured medication knowledge graph. Finally, a Medication Searching method takes the knowledge graph and matches it to relevant medications in the terminology server. An empirical evaluation on real-world drug labels shows that BERT-CRF was the most effective NER model with F-measure 95%. After performing terms normalization, the Medication Searching achieved an accuracy of 77% for when matching a label to relevant medication in the terminology server. The NER and Medication Searching models could be deployed as a web service capable of accepting free-text queries and returning structured medication information; thus providing a useful means of better managing medications information found in different health systems.
Topics: Humans; Algorithms; Drug Labeling; Vocabulary, Controlled
PubMed: 38222391
DOI: No ID Found -
Autism : the International Journal of... Aug 2023Both parents and service providers have voiced concerns about the potential negative impact of exposure to multiple languages on the language and communication skills of... (Review)
Review
Both parents and service providers have voiced concerns about the potential negative impact of exposure to multiple languages on the language and communication skills of autistic children. The current literature review summarized research that assessed the language and communication skills of multilingual autistic children in comparison with their autistic and nonautistic peers. After a comprehensive search, 22 relevant publications were identified that met the inclusion criteria of the current review. Thirteen studies used both direct (directly administered screening/diagnostic tools) and indirect language assessments (e.g. parent questionnaires). Receptive and expressive vocabulary was the most frequently assessed language skill. Available research does not support the assumption that bilingualism has negative effects on the language and communication skills of autistic children. The language and communication skills of multilingual autistic children frequently resembled their monolingual autistic peers in both strengths and areas of growth. Preliminary findings indicate that multilingual autistic children may share some advantages of multilingualism with their multilingual nonautistic peers. Studies often excluded participants with intellectual disabilities or complex communication needs, which means that a large population of autistic children is not yet represented in research about the effects of multilingualism.
Topics: Humans; Child; Multilingualism; Autistic Disorder; Autism Spectrum Disorder; Language; Communication
PubMed: 36629040
DOI: 10.1177/13623613221147780