scholarly journals Evidence of Parallel Processing During Translation

2014 ◽  
Vol 59 (2) ◽  
pp. 234-259 ◽  
Author(s):  
Laura Winther Balling ◽  
Kristian Tangsgaard Hvelplund ◽  
Annette C. Sjørup
Keyword(s):  
Eye Tracking ◽  
Mixed Effects ◽  
Second Language Reading ◽  
General Effect ◽  
Congruence Effect ◽  
Source Text ◽  
Sequential Processing ◽  
Bilingual Reading ◽  
Text Reading

Three eye tracking experiments test the hypothesis that translation involves parallel rather than sequential processing of the source and target texts. In Experiment 1, a group of professional translators translated texts from their native language Danish into English. The texts included both segments where the order of verb and subject was congruent between source and target text and segments that were non-congruent. Translators gazed significantly longer at the non-congruent segments of the source text, indicating that the structure of the target text is anticipated during source text reading. Two follow-up experiments on first and second language reading demonstrate that this congruence effect in translation is not the result of the non-congruent Danish segments being inherently more difficult than the congruent ones and that the effect is not a general effect in bilingual reading. We conclude that translation is a parallel process and that literal translation is likely to be a universal initial default strategy in translation. This conclusion is strengthened by the fact that all three experiments were relatively naturalistic, due to the combination of remote eye tracking and mixed-effects regression modeling.

scholarly journals Design and analysis of a 2-year parallel follow-up of repeated ivermectin mass drug administrations for control of malaria: Small sample considerations for cluster-randomized trials with count data

2021 ◽  
pp. 174077452110285
Author(s):  
Conner L Jackson ◽  
Kathryn Colborn ◽  
Dexiang Gao ◽  
Sangeeta Rao ◽  
Hannah C Slater ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Cluster Randomized Trial ◽  
Mixed Effects ◽  
Small Sample ◽  
Mixed Effects Models ◽  
Type I ◽  
Cluster Randomized ◽  
Cluster Level ◽  
Generalized Estimating

Background: Cluster-randomized trials allow for the evaluation of a community-level or group-/cluster-level intervention. For studies that require a cluster-randomized trial design to evaluate cluster-level interventions aimed at controlling vector-borne diseases, it may be difficult to assess a large number of clusters while performing the additional work needed to monitor participants, vectors, and environmental factors associated with the disease. One such example of a cluster-randomized trial with few clusters was the “efficacy and risk of harms of repeated ivermectin mass drug administrations for control of malaria” trial. Although previous work has provided recommendations for analyzing trials like repeated ivermectin mass drug administrations for control of malaria, additional evaluation of the multiple approaches for analysis is needed for study designs with count outcomes. Methods: Using a simulation study, we applied three analysis frameworks to three cluster-randomized trial designs (single-year, 2-year parallel, and 2-year crossover) in the context of a 2-year parallel follow-up of repeated ivermectin mass drug administrations for control of malaria. Mixed-effects models, generalized estimating equations, and cluster-level analyses were evaluated. Additional 2-year parallel designs with different numbers of clusters and different cluster correlations were also explored. Results: Mixed-effects models with a small sample correction and unweighted cluster-level summaries yielded both high power and control of the Type I error rate. Generalized estimating equation approaches that utilized small sample corrections controlled the Type I error rate but did not confer greater power when compared to a mixed model approach with small sample correction. The crossover design generally yielded higher power relative to the parallel equivalent. Differences in power between analysis methods became less pronounced as the number of clusters increased. The strength of within-cluster correlation impacted the relative differences in power. Conclusion: Regardless of study design, cluster-level analyses as well as individual-level analyses like mixed-effects models or generalized estimating equations with small sample size corrections can both provide reliable results in small cluster settings. For 2-year parallel follow-up of repeated ivermectin mass drug administrations for control of malaria, we recommend a mixed-effects model with a pseudo-likelihood approximation method and Kenward–Roger correction. Similarly designed studies with small sample sizes and count outcomes should consider adjustments for small sample sizes when using a mixed-effects model or generalized estimating equation for analysis. Although the 2-year parallel follow-up of repeated ivermectin mass drug administrations for control of malaria is already underway as a parallel trial, applying the simulation parameters to a crossover design yielded improved power, suggesting that crossover designs may be valuable in settings where the number of available clusters is limited. Finally, the sensitivity of the analysis approach to the strength of within-cluster correlation should be carefully considered when selecting the primary analysis for a cluster-randomized trial.

scholarly journals Eye-tracking in Second Language Reading

2021 ◽  
pp. 416-432
Author(s):  
Ivana Roncevic
Keyword(s):  
Second Language ◽  
University Students ◽  
Eye Tracking ◽  
Reading Strategies ◽  
English Language ◽  
Target Language ◽  
Second Language Reading ◽  
Process Information ◽  
Research Results ◽  
Level Process

In this study eye tracking software was used to analyse the ways in which university students, adult competent speakers of English at C1 level, process information when reading texts in the target language, and which strategies they use in order to summarise a given text. Research results point to four different reading techniques used by the participants in the study: partly selective fast linear, partly selective slow linear, selective structural and nonselective reading strategies. In comparison with previous research with reading tasks in L1, results show that readers take more time when reading in L2. In addition, there is a need for skill enhancement for the purpose of improved text structuring in reading tasks in the English language.

scholarly journals Diagnoses and other predictors of patient absenteeism in an outpatient neurology clinic

2018 ◽  
Vol 8 (4) ◽  
pp. 318-326
Author(s):  
David H. Do ◽  
James E. Siegler
Keyword(s):  
Logistic Regression ◽  
Medication Overuse ◽  
Medication Overuse Headache ◽  
Mixed Effects ◽  
Disease Rate ◽  
Charcot Marie Tooth Disease ◽  
Diagnostic Categories ◽  
Neurology Clinic ◽  
Independent Risk Factors

BackgroundWe sought to determine the neurologic diagnosis or diagnostic categories that are associated with a higher probability of honoring a scheduled follow-up visit in the outpatient clinic.MethodsWe conducted a retrospective analysis of patients evaluated over a 3-year period (July 2014–June 2017) at a single neurology clinic in an urban location. Adult patients who honored an initial scheduled outpatient appointment were included. Only diagnoses with a ≥0.5% prevalence at our center were analyzed. Mixed-effects logistic regression was used to determine association of independent variables and honored follow-up visits.ResultsOf 61,232 scheduled outpatient subsequent encounters for 20,729 unique patients, the overall absenteeism rate was 12.5% (95% confidence interval [CI] 12.2%–12.8%). Independent risk factors associated with absenteeism included younger age, black or Latino race/ethnicity, Medicaid/Medicare payor status, and longer delay from appointment scheduling to appointment date. In mixed-effects logistic regression, diagnoses associated with the lowest odds of showing were medication overuse headache (show rate 79.2%, odds ratio [OR] for honoring appointment 0.67, 95% CI 0.48–0.93) and depression (rate 85.9%, OR 0.82, 95% CI 0.70–0.97), whereas the diagnoses associated with the greatest odds of showing included Charcot-Marie-Tooth disease (rate 96.3%, OR 2.54, 95% CI 1.44–4.49) and aphasia (rate 95.9%, OR 2.34, 95% CI 1.28–4.30).ConclusionsCertain chronic neurologic diseases, such as medication overuse headache and depression, were associated with a significantly lower odds of honoring scheduled follow-up conditions. As these conditions influence quality of life and productivity, patients with these illnesses may benefit from selective targeting to encourage adherence with scheduled follow-up appointments.

scholarly journals The Relationship Between Anxiety and Incident Agitation in Alzheimer’s Disease

2020 ◽  
Vol 78 (3) ◽  
pp. 1119-1127
Author(s):  
Kathy Y. Liu ◽  
Harry Costello ◽  
Suzanne Reeves ◽  
Robert Howard ◽  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Regression Models ◽  
Mixed Effects ◽  
Neuropsychiatric Symptom ◽  
Positive Linear Relationship ◽  
Potential Risk Factors ◽  
The Relationship

Background: Agitation in Alzheimer’s disease (AD) has been hypothesized to be an expression of anxiety, but whether anxiety early in the course of dementia could be a risk factor for developing later agitation is unknown. Objective: We used the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database to examine the longitudinal relationship between anxiety and incident agitation in individuals with a diagnosis of AD at baseline or during follow-up. Methods: Longitudinal neuropsychiatric symptom data from AD individuals who were agitation-free at study baseline (N = 272) were analyzed using mixed effects regression models to test the longitudinal relationship between baseline and incident anxiety with incident agitation. Results: Anxiety at baseline was not associated with subsequent agitation, but there was a positive linear relationship between incident anxiety and agitation over the study duration. Baseline apathy and delusions were consistently associated with subsequent agitation and greater disease severity and illness duration also appeared to be risk factors for agitation. Conclusion: Our findings support the concept that anxiety and agitation are likely to be distinct rather than equivalent constructs in mild-moderate AD. Future longitudinal cohort studies are needed to replicate these findings and further characterize potential risk factors for agitation, such as apathy and delusions.

Multi-modal language input: A learned superadditive effect

2019 ◽  
Vol 10 (2) ◽  
pp. 179-200 ◽  
Author(s):  
Dominic Cheetham
Keyword(s):  
Language Learning ◽  
Additive Model ◽  
General Effect ◽  
Active System ◽  
Brain Areas ◽  
Early Integration ◽  
Simple Addition ◽  
Illustrated Text ◽  
Text Reading ◽  
Positive Effect

AbstractReview of psychological and language acquisition research into seeing faces while listening, seeing gesture while listening, illustrated text, reading while listening, and same language subtitled video, confirms that bi-modal input has a consistently positive effect on language learning over a variety of input types. This effect is normally discussed using a simple additive model where bi-modal input increases the total amount of data and adds redundancy to duplicated input thus increasing comprehension and then learning. Parallel studies in neuroscience suggest that bi-modal integration is a general effect using common brain areas and following common neural paths. Neuroscience also shows that bi-modal effects are more complex than simple addition, showing early integration of inputs, a learning/developmental effect, and a superadditive effect for integrated bi-modal input. The different bodies of research produce a revised model of bi-modal input as a learned, active system. The implications for language learning are that bi- or multi-modal input can powerfully enhance language learning and that the learning benefits of such input will increase alongside the development of neurological integration of the inputs.

scholarly journals Outdoor activity and myopia progression in children: A follow-up study using mixed-effects model

2021 ◽  
Vol 69 (12) ◽  
pp. 3446
Author(s):  
Saroj Gupta ◽  
Ankur Joshi ◽  
Harsha Saxena ◽  
Anirban Chatterjee
Keyword(s):  
Mixed Effects ◽  
Mixed Effects Model ◽  
Outdoor Activity ◽  
Myopia Progression ◽  
Follow Up Study

scholarly journals Waterpipe Warning Placement and Risk Perceptions: An Eye Tracking Study

2021 ◽  
Vol 45 (1) ◽  
pp. 186-194
Author(s):  
Elizabeth G. Klein ◽  
Mahmood A. Alalwan ◽  
Michael L. Pennell ◽  
David Angeles ◽  
Marielle C. Brinkman ◽  
...  
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Repeated Measures ◽  
Risk Perceptions ◽  
Fixation Time ◽  
Comparable Amount ◽  
Health Warning ◽  
Within Subjects ◽  
The One

Objectives: The purpose of this study was to select a health warning message location on a waterpipe (WP) that both attracted visual attention and conveyed the risks associated with WP smoking. Methods: During June through November 2019, we conducted a within-subjects randomized experiment (N = 74) using eye tracking equipment to examine visual attention to 3 placements of a health warning on the WP (stem, water bowl, hose). We asked young adult ever WP users 3 questions about WP harm perceptions. We used generalized linear mixed models to examine the amount of fixation time spent on the placement locations; we used repeated measures ANOVA to model changes in harm perceptions. Results: There were statistically significant differences across all 3 placement locations; regardless of place, all HWLs attracted a comparable amount of visual attention. Absolute WP harm perceptions significantly increased following the experiment and remained significantly higher at the one-week follow-up, compared to baseline. Conclusions: Warnings on WPs attracted visual attention and increased harm perceptions, and those harm perceptions remained high one week after the experiment. Findings indicate the value of including a warning on the WP device, and underscore the necessity and effectiveness of those health warnings to combat WP harm misperceptions.

scholarly journals Associations Between Comorbidity and Depressive Symptoms During COVID-19: Variation by Social Isolation?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 39-39
Author(s):  
Jianjia Cheng ◽  
Lindsay Kobayashi
Keyword(s):  
Depressive Symptoms ◽  
Social Isolation ◽  
Chronic Conditions ◽  
Mixed Effects ◽  
Living Alone ◽  
Mixed Effects Models ◽  
Middle Aged ◽  
Association Data ◽  
Comorbidity Status

Abstract Adults with comorbidities are at high COVID-19 risk and may experience elevated depressive symptoms during the pandemic. We aimed to investigate the associations between comorbidity at pandemic onset and subsequent depressive symptoms and whether social isolation modified this association. Data were from monthly online questionnaires in the COVID-19 Coping Study of US adults aged ≥55 from April/May-September/October 2020 (n=4,383). Depressive symptoms were measured by the 8-item CES-D, and social isolation as “high” vs. “low” based on contact with family, friends, social organizations, and living alone. In multivariable mixed-effects models, comorbidity (≥2 vs. <2 chronic conditions) was associated with greater depressive symptoms at baseline (β=0.50; 95% CI: 0.36-0.64), this association varied negligibly by social isolation. Differences in depressive symptoms by comorbidity status at pandemic onset were consistent over the six-month follow-up. This study indicates that middle-aged and older US adults with comorbidities experienced persistently elevated depressive symptoms during the COVID-19 pandemic.

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