Relationship between emotion comprehension, vocabulary, and verbal working memory in intellectual developmental disorders: involvement of verbal reasoning skills.

This study investigated the role of language-related abilities in emotion comprehension among young people with non-specific intellectual developmental disorders (NS-IDDs). Forty children and adolescents with NS-IDDs completed tasks assessing emotion comprehension, receptive vocabulary, verbal reasoning skills, and verbal working memory. Results showed that emotion comprehension was better predicted by comprehension of abstract words and verbal working memory, and that these two predictors were themselves predicted by verbal reasoning skills. These results therefore suggest a link between emotion understanding and verbal reasoning, which could be mediated by abstract vocabulary and verbal working memory. These findings provide insight into the relationships between emotion comprehension and language-related abilities in NS-IDDs.

Application of machine reading comprehension techniques for named entity recognition in materials science.

Materials science is an interdisciplinary field that studies the properties, structures, and behaviors of different materials. A large amount of scientific literature contains rich knowledge in the field of materials science, but manually analyzing these papers to find material-related data is a daunting task. In information processing, named entity recognition (NER) plays a crucial role as it can automatically extract entities in the field of materials science, which have significant value in tasks such as building knowledge graphs. The typically used sequence labeling methods for traditional named entity recognition in material science (MatNER) tasks often fail to fully utilize the semantic information in the dataset and cannot effectively extract nested entities. Herein, we proposed to convert the sequence labeling task into a machine reading comprehension (MRC) task. MRC method effectively can solve the challenge of extracting multiple overlapping entities by transforming it into the form of answering multiple independent questions. Moreover, the MRC framework allows for a more comprehensive understanding of the contextual information and semantic relationships within materials science literature, by integrating prior knowledge from queries. State-of-the-art (SOTA) performance was achieved on the Matscholar, BC4CHEMD, NLMChem, SOFC, and SOFC-Slot datasets, with F1-scores of 89.64%, 94.30%, 85.89%, 85.95%, and 71.73%, respectively in MRC approach. By effectively utilizing semantic information and extracting nested entities, this approach holds great significance for knowledge extraction and data analysis in the field of materials science, and thus accelerating the development of material science.Scientific contributionWe have developed an innovative NER method that enhances the efficiency and accuracy of automatic entity extraction in the field of materials science by transforming the sequence labeling task into a MRC task, this approach provides robust support for constructing knowledge graphs and other data analysis tasks.

Generative preparation tasks in digital collaborative learning: actor and partner effects of constructive preparation activities on deep comprehension.

Deep learning from collaboration occurs if the learner enacts interactive activities in the sense of leveraging the knowledge externalized by co-learners as resource for own inferencing processes and if these interactive activities in turn promote the learner's deep comprehension outcomes. This experimental study investigates whether inducing dyad members to enact constructive preparation activities can promote deep learning from subsequent collaboration while examining prior knowledge as moderator. In a digital collaborative learning environment, 122 non-expert university students assigned to 61 dyads studied a text about the human circulatory system and then prepared individually for collaboration according to their experimental conditions: the preparation tasks varied across dyads with respect to their generativity, that is, the degree to which they required the learners to enact constructive activities (note-taking, compare-contrast, or explanation). After externalizing their answer to the task, learners in all conditions inspected their partner's externalization and then jointly discussed their text understanding via chat. Results showed that more rather than less generative tasks fostered constructive preparation but not interactive collaboration activities or deep comprehension outcomes. Moderated mediation analyses considering actor and partner effects indicated the indirect effects of constructive preparation activities on deep comprehension outcomes via interactive activities to depend on prior knowledge: when own prior knowledge was relatively low, self-performed but not partner-performed constructive preparation activities were beneficial. When own prior knowledge was relatively high, partner-performed constructive preparation activities were conducive while one's own were ineffective or even detrimental. Given these differential effects, suggestions are made for optimizing the instructional design around generative preparation tasks to streamline the effectiveness of constructive preparation activities for deep learning from digital collaboration.

Early parafoveal semantic integration in natural reading.

Humans can read and comprehend text rapidly, implying that readers might process multiple words per fixation. However, the extent to which parafoveal words are previewed and integrated into the evolving sentence context remains disputed. We investigated parafoveal processing during natural reading by recording brain activity and eye movements using MEG and an eye tracker while participants silently read one-line sentences. The sentences contained an unpredictable target word that was either congruent or incongruent with the sentence context. To measure parafoveal processing, we flickered the target words at 60 Hz and measured the resulting brain responses (i.e. Rapid Invisible Frequency Tagging, RIFT) during fixations on the pre-target words. Our results revealed a significantly weaker tagging response for target words that were incongruent with the previous context compared to congruent ones, even within 100ms of fixating the word immediately preceding the target. This reduction in the RIFT response was also found to be predictive of individual reading speed. We conclude that semantic information is not only extracted from the parafovea but can also be integrated with the previous context before the word is fixated. This early and extensive parafoveal processing supports the rapid word processing required for natural reading. Our study suggests that theoretical frameworks of natural reading should incorporate the concept of deep parafoveal processing.

An ERP Study on the Processing of Subject-Verb and Object-Verb Gender Agreement in Punjabi.

This study was conducted with the aim of exploring the general parsing mechanisms involved in processing different kinds of dependency relations, namely verb agreement with subjects versus objects in Punjabi, an SOV Indo-Aryan language. Event related brain potentials (ERPs) were recorded as twenty-five native Punjabi speakers read transitive sentences. Critical stimuli were either fully acceptable as regards verb agreement, or alternatively violated gender agreement with the subject or object. A linear mixed-models analysis confirmed a P600 effect at the position of the verb for all violations, regardless of whether subject or object agreement was violated. These results thus suggest that an identical mechanism is involved in gender agreement computation in Punjabi regardless of whether the agreement is with the subject or the object argument.

Early skills that predict English reading ability: A longitudinal study of bilingual children from 5 to 10 years.

Despite substantial research, the contribution of oral language skills acquired in Spanish to Spanish-English bilingual children's acquisition of English reading skill is unclear. The current study addressed this question with data on the oral language and pre-literacy skills of 101 Spanish-English bilingual learners at 5 years of age and their English word reading (i.e., decoding) and reading comprehension skills at 6, 7, 8, 9, and 10 years. Separate multilevel models using English language, Spanish language, and pre-literacy skills as predictors of these outcomes identified English phonological awareness, Spanish phonological awareness, and concepts of print knowledge as positive predictors of word reading. A final model including all these significant predictors found only Spanish phonological awareness and concept of print to be significant predictors. Significant predictors of reading comprehension in separate models were English vocabulary, Spanish phonological awareness, and concepts about print. In the final model, only English vocabulary and Spanish phonological awareness predicted English reading comprehension. These findings provide evidence that phonological awareness is a language-general skill that supports reading across languages, consistent with the common underlying proficiency model of bilingual reading development. The finding that only English vocabulary predicts English reading comprehension suggests that vocabulary knowledge is not part of a common underlying proficiency but is language specific in its value to reading ability.

Differentiation between Normal Cognition and Subjective Cognitive Decline in Older Adults Using Discrepancy Scores Derived from Neuropsychological Tests.

Several studies have reported subtle differences in cognition between individuals with subjective cognitive decline (SCD) compared to those with normal cognition. This study aimed to (i) identify these differences using discrepancy scores (e.g., categorial-phonemic verbal fluency performance) derived from neuropsychological tests in three cognitive domains (memory: Wechsler's Word List and Digits; executive functions: Stroop and verbal fluency; and language: BNT and ECCO_Senior) and (ii) determine which discrepancy scores are significant for classification. Seventy-five older adults were included: 32 who were labeled SCD+ (age 71.50 ± 5.29), meeting Jessen et al.'s criteria, and 43 in the normal cognition group (SCD-; age 69.81 ± 4.62). Both groups completed a protocol including screening and the specified neuropsychological tests. No differences were found between the groups in their age, education, episodic memory, global cognitive state, or mood. Significant differences between the groups were observed regarding the discrepancy scores derived from BNT (naming) and ECCO_Senior (sentence comprehension). These scores accurately classified participants (71.6%), with ECCO_Senior having a primary role. ROC curves indicated a poor-to-fair model quality or diagnostic accuracy (AUC_BNT = 0.690; AUC_ECCO = 0.722). In conclusion, discrepancy scores in the language domain are important for distinguishing between individuals with SCD and normal cognition, complementing previous findings in this domain. However, given their relatively poor diagnostic accuracy, they should be used with caution as part of a more detailed neuro-psychological assessment.

Readability and Comprehension of Anesthesia Informed Consent Forms in a Spanish County Hospital: An Observational Study.

(1) Background: The wording of informed consent forms could hinder their comprehension and hinder patients' autonomous choice. The objective of this study was to analyze the readability and comprehension of anesthesia informed consent forms in a Spanish county hospital. (2) Methods: Descriptive and cross-sectional study carried out on patients who were going to undergo anesthetic techniques. The readability of the forms was analyzed using the INFLESZ tool and their subjective comprehension using an ad hoc questionnaire. (3) Results: The analyzed forms presented a "somewhat difficult" legibility. A total of 44.2% of the patients decided not to read the form, mainly because they had previously undergone surgery with the same anesthetic technique. The language used in the forms was considered inadequate by 49.5% of the patients and 53.3% did not comprehend it in its entirety. A statistically significant negative correlation of age and INFLESZ readability score with the overall questionnaire score was found. A statistically significant association was observed as a function of age and educational level with the different criteria of the questionnaire. (4) Conclusions: The anesthesia informed consent forms presented low readability with limited comprehension. It would be necessary to improve their wording to favor comprehension and to guarantee patients' freedom of choice.

Exploring the Interplay Between Language Comprehension and Cortical Tracking: The Bilingual Test Case.

Cortical tracking, the synchronization of brain activity to linguistic rhythms is a well-established phenomenon. However, its nature has been heavily contested: Is it purely epiphenomenal or does it play a fundamental role in speech comprehension? Previous research has used intelligibility manipulations to examine this topic. Here, we instead varied listeners' language comprehension skills while keeping the auditory stimulus constant. To do so, we tested 22 native English speakers and 22 Spanish/Catalan bilinguals learning English as a second language (SL) in an EEG cortical entrainment experiment and correlated the responses with the magnitude of the N400 component of a semantic comprehension task. As expected, native listeners effectively tracked sentential, phrasal, and syllabic linguistic structures. In contrast, SL listeners exhibited limitations in tracking sentential structures but successfully tracked phrasal and syllabic rhythms. Importantly, the amplitude of the neural entrainment correlated with the amplitude of the detection of semantic incongruities in SLs, showing a direct connection between tracking and the ability to understand speech. Together, these findings shed light on the interplay between language comprehension and cortical tracking, to identify neural entrainment as a fundamental principle for speech comprehension.

The effects of a tier 2 reading comprehension intervention aligned to tier 1 instruction for fourth graders with inattention and reading difficulties.

This study reports a secondary analysis from a quasi-experimental design study (N = 13 schools) to examine the effects of aligned Tier 1 (T1) and Tier 2 (T2) instruction for a subsample of fourth graders with inattention and reading difficulties. Of this sample (N = 63 students), 100% received free- or reduced-price lunch, 92% identified as Hispanic, and 22% received special education services. T1 instruction focused on implementing practices to support reading comprehension and content learning during social studies instruction. The aligned T2 intervention focused on remediating reading comprehension difficulties using the same evidence-based practices implemented in T1, thus supporting students with connecting learning and applying skills across settings. Schools were assigned to one of three conditions: (a) aligned T1-T2 instruction; (b) nonaligned T1-T2 instruction, in which T1 and T2 practices were not intentionally aligned; or (c) business-as-usual (BaU) T1 and T2 practices. No significant differences were detected between the nonaligned T1-T2 and BaU conditions on student outcomes. However, large, statistically significant effects were detected in favor of the aligned T1-T2 condition compared to BaU on measures of content knowledge (Unit 1 ES = 0.85; Unit 2 ES = 1.46; Unit 3 ES = 0.79), vocabulary (Unit 1 ES = 0.88; Unit 2 ES = 0.85), and content reading comprehension (ES = 0.79). The aligned T1-T2 condition also outperformed the nonaligned T1-T2 condition on content knowledge (Unit 2 ES = 1.35; Unit 3 ES = 0.56), vocabulary (Unit 1 ES = 0.82), and the content reading comprehension assessment (ES = 0.69). Various effect sizes were not different from zero after correcting for clustered data. Although the magnitude of the effect sizes suggested promise, additional research is needed to fully understand the effects of aligned instruction on the reading outcomes of students with inattention and reading difficulty.

[The OMAGE comprehension interview: a method for building patient-centered care plans]. / Entretien de compréhension Omage : une méthode pour élaborer des plans de soins centrés sur le patient.

OMAGE comprehension interviews (CIs) use a card game as a vehicle for active listening. CIs performed by training professionals revealed new information for 92% of patients. CIs seem to be an effective method for building patient-centered management plans, can be used by a wide range of health professionals and as prerequisites for medication reconciliation and patient education.

Quality and Readability of Online Health Information on Common Urologic Cancers: Assessing Barriers to Health Literacy in Urologic Oncology.

INTRODUCTION: A growing number of Americans search online for health information related to urologic oncologic care each year. The American Medical Association recommends that medical information be written at a maximum sixth-grade level in order to be comprehensible by the majority of patients. As such, it is important to assess the quality and readability of online patient education material that patients are being exposed to. METHODS: A Google search was performed using the terms "testicular cancer," "prostate cancer," "kidney cancer," and "bladder cancer," and the top 30 results for each were reviewed. Websites were categorized based on their source. Readability was assessed using the Flesch-Kincaid Grade Level, the Gunning Frequency of Gobbledygook, and the Simple Measure of Gobbledygook indices. Quality was assessed using the DISCERN Quality Index (1-5 scale). RESULTS: A total of 91 websites were included in our analysis. On average, online health information pertaining to urologic cancers is written at a 10th- to 11th-grade reading level, which is significantly higher than that of an average American adult and that recommended by the American Medical Association (P < .01). The overall quality of websites was 3.4 ± 0.7, representing moderate to high quality. There was no significant difference in readability based on cancer type or information source. CONCLUSIONS: Despite being of moderate to high quality, online patient education materials related to common urologic cancers are often written at a grade level that exceeds the reading level of an average American adult. This presents as a barrier to online health literacy and calls into question the utility of these resources.

Meaning as mentalization.

The way we establish meaning has been a profound question not only in language research but in developmental science as well. The relation between linguistic form and content has been loosened up in recent pragmatic approaches to communication, showing that code-based models of language comprehension must be augmented by context-sensitive, pragmatic-inferential mechanisms to recover the speaker's intended meaning. Language acquisition has traditionally been thought to involve building a mental lexicon and extracting syntactic rules from noisy linguistic input, while communicative-pragmatic inferences have also been argued to be indispensable. Recent research findings exploring the electrophysiological indicator of semantic processing, the N400, have raised serious questions about the traditional separation between semantic decoding and pragmatic inferential processes. The N400 appears to be sensitive to mentalization-the ability to attribute beliefs to social partners-already from its developmental onset. This finding raises the possibility that mentalization may not simply contribute to pragmatic inferences that enrich linguistic decoding processes but that the semantic system may be functioning in a fundamentally mentalistic manner. The present review first summarizes the key contributions of pragmatic models of communication to language comprehension. Then, it provides an overview of how communicative intentions are interpreted in developmental theories of communication, with a special emphasis on mentalization. Next, it discusses the sensitivity of infants to the information-transmitting potential of language, their ability to pick up its code-like features, and their capacity to track language comprehension of social partners using mentalization. In conclusion, I argue that the recovery of meaning during linguistic communication is not adequately modeled as a process of code-based semantic retrieval complemented by pragmatic inferences. Instead, the semantic system may establish meaning, as intended, during language comprehension and acquisition through mentalistic attribution of content to communicative partners.

Morphological Assessment Features and their Relations to Reading: A Meta-Analytic Structural Equation Modeling Study.

Morphemes are the smallest meaningful unit of language (e.g., affixes, base words) that express grammatical and semantic information. Additionally, morphological knowledge is significantly related to children's word reading and reading comprehension skills. Researchers have broadly assessed morphological knowledge by using a wide range of tasks and stimuli, which has influenced the interpretation of the relations between morphological knowledge and reading outcomes. This review of 103 studies used meta-analytic structural equation modeling (MASEM) to investigate the relations between commonly occurring morphological knowledge assessment features (e.g., written versus oral, spelling versus no spelling) in the literature to reading outcomes, including word reading and reading comprehension. Meta-regression techniques were used to examine moderators of age and reading ability. Morphological assessments that used a written modality (e.g., reading, writing) were more predictive of word reading outcomes than those administered orally. Assessments of morphological spelling were more predictive of both word reading and reading comprehension outcomes than those that did not examine spelling accuracy. Age was a significant moderator of the relation between morphology and word reading, such that the relation was stronger for the younger than the older children. Younger children also demonstrated higher relations between multiple task dimensions and reading comprehension, including oral tasks, tasks without decoding, and tasks that provided context clues. These findings have important implications for future morphological intervention studies aimed to improve children's reading outcomes, in particular the use of orthography and spelling within the context of teaching morphology.

Understanding words in context: A naturalistic EEG study of children's lexical processing.

When listening to speech, adults rely on context to anticipate upcoming words. Evidence for this comes from studies demonstrating that the N400, an event-related potential (ERP) that indexes ease of lexical-semantic processing, is influenced by the predictability of a word in context. We know far less about the role of context in children's speech comprehension. The present study explored lexical processing in adults and 5-10-year-old children as they listened to a story. ERPs time-locked to the onset of every word were recorded. Each content word was coded for frequency, semantic association, and predictability. In both children and adults, N400s reflect word predictability, even when controlling for frequency and semantic association. These findings suggest that both adults and children use top-down constraints from context to anticipate upcoming words when listening to stories.

Mental simulation of colour properties during language comprehension: influence of context and comprehension stages.

Many studies have shown that mental simulation may occur during language comprehension. Supporting evidence is derived from the matching effects in the sentence-picture verification (SPV) task often used to assess mental simulations of object properties, such as size, orientation, and shape. However, mixed results have been obtained regarding object colour, with researchers reporting matching or mismatching effects. This study investigated the impact of colour information clarity within sentences on the process of mental simulation during language comprehension. Employing the SPV task and using novel objects, we examined whether there is a mental simulation of colour after excluding typical/atypical colour bias and how varying levels of colour information clarity in sentences influence the emergence of matching effects at different stages of comprehension. To address these issues, we conducted two experiments. In Experiment 1, the participants read normal sentences and subsequently engaged in picture verification with a novel object after a 500 ms delay. In Experiment 2, the participants encountered sentences containing both clear and unclear colour information and, after either a 0 ms or 1500 ms interval, completed picture verification tasks with a novel object. Null effects were found in the 500 ms condition for normal sentences and the 0 ms condition for unclear colour information sentences. A mismatching effect appeared in the 0 ms condition after clear colour information sentences, and a matching effect appeared in the 1500 ms condition for all sentences. The results indicated that after excluding colour bias, the participants still formed mental simulations of colour during language comprehension. Our results also indicated that ongoing colour simulation with time pressure impacted the participant responses. The participants ignored unclear colour information under time pressure, but without time pressure, they constructed simulations that were as detailed as possible, regardless of whether the implicit colour information in the sentence was clear.

Examining gullibility with sentence verification judgments.

Three experiments were conducted to examine gullibility as measured by people's bias to respond with a True response when performing sentence verification judgment task. The experiments manipulated the location of unfamiliar concepts such that some sentences contained unfamiliar concepts in the subject while other sentences contained unfamiliar concepts in the predicate, hence measuring the bias to judge an idea to be true when one cannot make the decision relying on background knowledge. The results indicated: 1) a higher frequency of True response when an unfamiliar concept is located in the subject compared to when it is in the predicate; and 2) the frequency of True response was lower than chance level even when unfamiliar information is located in the subject. The results were discussed in relation to gullibility and how the verification judgment is processed as a plausibility judgment.

Music training influences online temporal order processing during reading comprehension.

Numerous studies have demonstrated the influence of musical expertise on spoken language processing; however, its effects on reading comprehension remain largely unexplored. This study aims to investigate the role of musical expertise in sentence comprehension, particularly concerning the processing of temporal order. Using two self-paced reading experiments, we examined individuals' responses to two-clause sentences connected by the temporal connectives "before" or "after". "After" sentences consistently presented events in their actual order of temporal occurrence, while "before" sentences described events in reverse temporal order. In both experiments, our analyses of reading times consistently uncovered a significant temporal order effect, with words immediately following the temporal connectives being processed slower in "before" sentences compared to "after" sentences. This suggests the presence of immediate online processing costs associated with "before" sentences. Notably, these processing costs were found to be attenuated in individuals with musical expertise compared to those without. However, analyses of comprehension accuracy showed no advantage of musicians over non-musicians. Specifically, in Experiment 1, the two groups showed no difference in comprehension accuracy, while in Experiment 2, musicians exhibited lower accuracy rates compared to non-musicians in both "before" and "after" sentences. These results suggest that musical expertise may attenuate online processing costs associated with complex linguistic constructs, but could not promote reading accuracy. We concluded that music training is associated with a restricted effect on written sentence comprehension.

The effects of question previewing on response accuracy and text processing: An eye-movement study.

The present study investigated the impact of manipulating reading strategies (i.e., reading the questions first [QF] or reading the passage first [PF]) during a reading comprehension test where we explored how reading strategy was related to student characteristics (i.e., reading achievement and working memory capacity). Participants' eye movements were monitored as they read 12 passages and answered multiple-choice questions. We examined differences in (a) response accuracy, (b) average total time on words in the text, (c) total task reading time, and (d) time reading text relevant to questions as a function of PF and QF strategies. Analyses were conducted to examine whether findings varied as a function of student characteristics (i.e., reading achievement and working memory capacity) and grade level (Grades 3, 5, and 8). Several interesting findings emerged from our study, including a limited effect of reading strategy use on response accuracy, with only eighth graders demonstrating better accuracy in the QF condition, and several demonstrations of PF leading to more efficient test-taking processes, including (a) longer average total reading times on words in the passage in the PF condition that could be associated with creating a better mental model of the text, (b) often being associated with less total-task time, and (c) being associated with more successful search strategies. Implications for providing teachers and students with strategies are discussed.

Dynamically predicting comprehension difficulties through physiological data and intelligent wearables.

Comprehending digital content written in natural language online is vital for many aspects of life, including learning, professional tasks, and decision-making. However, facing comprehension difficulties can have negative consequences for learning outcomes, critical thinking skills, decision-making, error rate, and productivity. This paper introduces an innovative approach to predict comprehension difficulties at the local content level (e.g., paragraphs). Using affordable wearable devices, we acquire physiological responses non-intrusively from the autonomous nervous system, specifically pulse rate variability, and electrodermal activity. Additionally, we integrate data from a cost-effective eye-tracker. Our machine learning algorithms identify 'hotspots' within the content and regions corresponding to a high cognitive load. These hotspots represent real-time predictors of comprehension difficulties. By integrating physiological data with contextual information (such as the levels of experience of individuals), our approach achieves an accuracy of 72.11% ± 2.21, a precision of 0.77, a recall of 0.70, and an f1 score of 0.73. This study opens possibilities for developing intelligent, cognitive-aware interfaces. Such interfaces can provide immediate contextual support, mitigating comprehension challenges within content. Whether through translation, content generation, or content summarization using available Large Language Models, this approach has the potential to enhance language comprehension.