Translational regulation enhances distinction of cell types in the nervous system.

Multicellular organisms are composed of specialized cell types with distinct proteomes. While recent advances in single-cell transcriptome analyses have revealed differential expression of mRNAs, cellular diversity in translational profiles remains underinvestigated. By performing RNA-seq and Ribo-seq in genetically defined cells in the Drosophila brain, we here revealed substantial post-transcriptional regulations that augment the cell-type distinctions at the level of protein expression. Specifically, we found that translational efficiency of proteins fundamental to neuronal functions, such as ion channels and neurotransmitter receptors, was maintained low in glia, leading to their preferential translation in neurons. Notably, distribution of ribosome footprints on these mRNAs exhibited a remarkable bias toward the 5' leaders in glia. Using transgenic reporter strains, we provide evidence that the small upstream open-reading frames in the 5' leader confer selective translational suppression in glia. Overall, these findings underscore the profound impact of translational regulation in shaping the proteomics for cell-type distinction and provide new insights into the molecular mechanisms driving cell-type diversity.

The impact of temporal processing on reading in dyslexia with rapid automatized naming deficits.

In the present study, we aimed to investigate the different impacts of temporal processing on reading by Chinese children with and without dyslexia. In total, 27 children with dyslexia who had a deficit in rapid automatized naming (RAN) (D_R), 37 children with dyslexia who had deficits in both RAN and phonological awareness (PA) (D_RP), and 40 typically developing children (TD) were recruited in Taiwan. The children were asked to complete non-verbal intelligence, PA, RAN, Chinese character reading tasks and an auditory temporal order judgement (ATOJ) task. Our results of a multiple regression model showed that the ATOJ accounted for unique variances in the reading differences between the children in the D_R and TD groups; performance was controlled for non-verbal intelligence, PA and RAN tasks. Theoretically, we provide possible explanations for the controversial findings in the field of Chinese children with dyslexia and, practically, suggest different interventions should be provided for children with dyslexia with different underlying impairments.

Comparative analyses of the information content of letters, characters, and inter-word spaces across writing systems.

One difference among writing systems is how orthographic cues are used to demarcate words; although most alphabetic scripts use inter-word spaces, some Asian scripts do not explicitly mark word boundaries (e.g., Chinese). It is unclear whether these differences are arbitrary or whether they are designed to maximize reading efficiency. Here, we show that spaces inserted between words in non-demarcated scripts provide less information about word boundaries than spaces in demarcated scripts. Furthermore, despite the fact that less information is contained by inter-word spaces than characters/letters of the same size, the information content of inter-word spaces in demarcated scripts is closer to that of characters/letters compared to the information content of inter-word spaces that are inserted in non-demarcated scripts. These results suggest that the conventions used to demarcate word boundaries are sufficient to support efficient reading. Our findings provide new insights into the universals and variation across writing systems and shed light on the mental processes that support skilled reading.

Modeling item-level variance of polysyllabic word reading in developing readers: Exploring semantically related child, word, and child-by-word predictors.

Across word reading development, there are important and evolving relationships between oral and written semantic knowledge. Recent research has focused on these relationships, with accumulating evidence supporting the role of word knowledge and related word characteristics as important factors influencing polysyllabic word reading abilities. The purpose of this study was to investigate how semantic-related effects across child-level skills (e.g., general vocabulary knowledge), word-level properties (e.g., age of acquisition), child-by-word-level familiarity (e.g., item-level familiarity), and interactions between key child attributes and word characteristics (e.g., word reading skill by age of acquisition) contribute to polysyllabic word reading. Specifically, we emphasize the semantic contributions of word-level features to word reading development, which have been relatively underexplored in the literature. A sample of elementary school students oversampled for word reading difficulty (N = 92) in Grades 3 to 5 read a set of polysyllabic words (J = 45) and completed a battery of reading and language-related measures. Using cross-classified random-effects models and accounting for various control variables, semantic-related variables representing item-level familiarity; child-level set for variability; and word-level age of acquisition and number of morphemes were significant predictors in the main-effects model. A significant interaction between sight word efficiency and age of acquisition indicated higher probabilities of correctly reading polysyllabic words at lower levels of acquisition for better readers. Results indicate important semantic-related influences on polysyllabic word reading at the child, word, and child-by-word levels, suggesting meaningful relationships between knowledge of the orthographic form of a word and semantic knowledge in developing readers.

The relation between reading and externalizing behavior: a correlational meta-analysis.

Reading proficiency is important because it has life-long consequences and influences success in other academic areas. Many students with behavior problems are poor readers and many students with learning disabilities have more behavior problems than their typical peers. We conducted a correlational meta-analysis to examine the association between reading and externalizing behavior in students ages 5-12. We identified 33 studies that reported 88 effect sizes. Using a random-effects linear regression model with robust variance estimation, we found a significant, negative correlation (r= -0.1698, SE = 0.01, p < 0.0001) between reading and externalizing behavior. We tested several moderators related to measurement and sample characteristics. We found that rater type, behavior dimension (e.g., aggression), time between longitudinal measurement points, age of the sample, and percentage male of the sample moderated the relation between reading and behavior. Whether the reading assessment measured comprehension or word reading and socioeconomic status of the sample did not moderate the relation. Understanding the association between reading and externalizing behavior has implications for disability identification and intervention practices for children in elementary school. Future research should examine shared cognitive factors and environmental influences that explain the relation between the constructs.

In emotion and reading motivation, children with a diagnosis of dyslexia are not just the end of a continuum.

Children with dyslexia (CwD) often report poor psychological well-being. We examined (i) whether anxiety, self-concept and reading motivation in CwD differed from those of typically developing children (TDC; case-control design, Study 1a) and (ii) whether these differences mirrored the linear relationships that these variables present with reading ability in the TDC group (dimensional approach, Study 1b). In Study 1a, 34 CwD were compared with 191 TDC in grades 4-8 on anxiety, self-concept, reading motivation and reading strategy using self-reports (controlling for sex, intelligence and math ability scores). In Study 1b, the differences that emerged in Study 1a were compared with the results obtained from a simulation procedure that generated dyslexia observations under the assumptions of a dimensional hypothesis. The CwD group presented small-to-moderate difficulties, which partially mirrored the predictions in the TDC group. However, violations of predictions based on the population without dyslexia were found for reading self-concept, social anxiety and reading competitiveness. In sum, children's diagnoses affect their self-perception as readers and social anxiety in a way that cannot be inferred from linear relationships. CwD need support to preserve an adequate image of themselves as readers and cope with social anxiety.

Attention switching through text dissimilarity: a cognition research on fragmented reading behavior.

People tend to obtain information through fragmented reading. However, this behavior itself might lead to distraction and affect cognitive ability. To address it, it is necessary to understand how fragmented reading behavior influences readers' attention switching. In this study, the researchers first collected online news that had 6 theme words and 60 sentences to compose the experimental material, then defined the degree of text dissimilarity, used to measure the degree of attention switching based on the differences in text content, and conducted an EEG experiment based on P200. The results showed that even after reading the fragmented text content with the same overall content, people in subsequent cognitive tasks had more working memory capacity, lower working memory load, and less negative impact on cognitive ability with the text content with lower text dissimilarity. Additionally, attention switching caused by differences in concept or working memory representation of text content might be the key factor affecting cognitive ability in fragmented reading behavior. The findings disclosed the relation between cognitive ability and fragmented reading and attention switching, opening a new perspective on the method of text dissimilarity. This study provides some references on how to reduce the negative impact of fragmented reading on cognitive ability on new media platforms.

Pathogenesis and clinical features of severe hepatitis E virus infection.

The hepatitis E virus (HEV), a member of the Hepeviridae family, is a small, non-enveloped icosahedral virus divided into eight distinct genotypes (HEV-1 to HEV-8). Only genotypes 1 to 4 are known to cause diseases in humans. Genotypes 1 and 2 commonly spread via fecal-oral transmission, often through the consumption of contaminated water. Genotypes 3 and 4 are known to infect pigs, deer, and wild boars, often transferring to humans through inadequately cooked meat. Acute hepatitis caused by HEV in healthy individuals is mostly asymptomatic or associated with minor symptoms, such as jaundice. However, in immunosuppressed individuals, the disease can progress to chronic hepatitis and even escalate to cirrhosis. For pregnant women, an HEV infection can cause fulminant liver failure, with a potential mortality rate of 25%. Mortality rates also rise amongst cirrhotic patients when they contract an acute HEV infection, which can even trigger acute-on-chronic liver failure if layered onto pre-existing chronic liver disease. As the prevalence of HEV infection continues to rise worldwide, highlighting the particular risks associated with severe HEV infection is of major medical interest. This text offers a brief summary of the characteristics of hepatitis developed by patient groups at an elevated risk of severe HEV infection.

Skin and macular carotenoids and relations to academic achievement among school-aged children.

ABSTRACTObjectives: Carotenoids are plant pigments that accumulate in human tissue (e.g. macula and skin) and can serve as biomarkers for diet quality; however, knowledge on skin and macular carotenoids in relation to cognition in children is limited. This study aimed to address this gap by assessing links between skin and macular carotenoids and academic achievement in school-aged children.Methods: Children 7-12 years old (n = 81) participated in a crosssectional study. Skin and macular carotenoids were measured with reflection spectroscopy and heterochromatic flicker photometry, respectively. Academic achievement was measured using Woodcock-Johnson IV (WJ-IV). Body Mass Index was calculated using height and weight measurements, demographic information was collected using a family demographics and pediatric health history questionnaire, and carotenoid intake was assessed using 7-day diet records.Results: Skin carotenoids were not related to macular pigment (r = 0.08, p = 0.22). Adjusting for age, sex, BMI percentile, household income, and total carotenoid consumption (mg/1000kcal), skin carotenoids were predictive of math (ß = 0.27, p = 0.02), broad math (ß = 0.36, p < 0.01) and math calculation (ß = 0.38, p < 0.01). Skin carotenoids displayed trending relationships with broad reading (ß = 0.23, p = 0.05) and reading fluency (ß = 0.22, p = 0.07). There were no significant associations between macular pigment and academic achievement (all ß's ≤ 0.07, all p's ≥ 0.56).Discussion: Skin carotenoids were positively associated with academic abilities in children, while macular carotenoids did not display this relationship. Future interventions examining prospective effects of changes in carotenoids in different tissues on childhood academic achievement are warranted.

Neural correlates for word-frequency effect in Chinese natural reading.

Word frequency effect has always been of interest for reading research because of its critical role in exploring mental processing underlying reading behaviors. Access to word frequency information has long been considered an indicator of the beginning of lexical processing and the most sensitive marker for studying when the brain begins to extract semantic information Sereno & Rayner, Brain and Cognition, 42, 78-81, (2000), Trends in Cognitive Sciences, 7, 489-493, (2003). While the word frequency effect has been extensively studied in numerous eye-tracking and traditional EEG research using the RSVP paradigm, there is a lack of corresponding evidence in studies of natural reading. To find the neural correlates of the word frequency effect, we conducted a study of Chinese natural reading using EEG and eye-tracking coregistration to examine the time course of lexical processing. Our results reliably showed that the word frequency effect first appeared in the N200 time window and the bilateral occipitotemporal regions. Additionally, the word frequency effect was reflected in the N400 time window, spreading from the occipital region to the central parietal and frontal regions. Our current study provides the first neural correlates for word-frequency effect in natural Chinese reading so far, shedding new light on understanding lexical processing in natural reading and could serve as an important basis for further reading study when considering neural correlates in a realistic manner.

Latent profiles as predictors of response to instruction for students with reading difficulties.

The program code developed by others is appropriately cited in the text and listed in the references section. The raw and processed data on which study conclusions are based are not available. The statistical syntax needed to reproduce analyses in the article is available upon request. The methods section provides references for the materials described therein. We report how we determined our sample size, all data exclusions, all manipulations, and all measures in the study, and we follow APA Style Journal Article Reporting Standards. This study's design, hypotheses, and data analytic plan were not pre-registered. Prior research supports the need for elementary-aged students with reading difficulties (RD) to receive explicit systematic small group evidence-based reading instruction. Yet for many students, simply receiving an evidence-based reading instruction in a small group setting is insufficient to reach the progress milestones needed to meet grade level reading standards. The current study examined whether: (1) elementary school students with RD constitute a homogeneous or heterogeneous groups when considering their basic language and cognitive skills (using a latent profile analysis), and (2) if latent profiles are predictive of response to reading comprehension instruction (using a mixed modeling approach). The sample consisted of 335 students, including students with RD and typical students (n = 57). The results revealed heterogeneity within students with RD - there were two distinct profiles, with one having higher basic language (reading fluency and decoding) and cognitive (verbal domain productivity, cognitive flexibility, working memory) skills and lower attention skills, and the other having stronger attention skills and lower basic language and cognitive skills. The findings also suggested that latent profiles were predictive of response to reading comprehension instruction. Our results provide a convincing argument for leading the field in the direction of developing customized interventions. It is conceivable, but remains to be further examined, that researchers and educators could potentially improve reading outcomes through providing a customized reading intervention to a student based on their cognitive-language profile.

A systematic scoping review of the literacy skills of children with childhood apraxia of speech: Recommendations for best practice and further research.

PURPOSE: Little is known about the literacy skills of children with childhood apraxia of speech (CAS) or effective methods for teaching them to read. This systematic scoping review aimed to synthesise what is known about this issue. METHOD: Nine databases were searched to identify relevant articles. Included articles were categorised by study design, quality, and confidence of CAS diagnosis. RESULT: Twenty-three articles were included, 17 described literacy skills of children with CAS and six trialled literacy interventions. Children with CAS had early skills deficits that manifest as literacy difficulties in the later school years and beyond. They frequently had poorer outcomes compared with both typical readers and children with other speech disorders. Both the extent of literacy impairment and responsiveness to intervention appear to be related to the severity of speech impairment. Four literacy interventions for children with CAS were identified. CONCLUSIONS: Children with CAS are at high risk of literacy difficulty and may require early literacy intervention to help them attain academic success. Further research is warranted to determine the longer-term literacy outcomes of children with CAS, appropriate means of assessment, and whether a systematic synthetic phonics approach is an effective form of literacy instruction for this population.

Neural bases of reading fluency: A systematic review and meta-analysis.

Reading fluency, the ability to read quickly and accurately, is a critical marker of successful reading and is notoriously difficult to improve in reading disabled populations. Despite its importance to functional literacy, fluency is a relatively under-studied aspect of reading, and the neural correlates of reading fluency are not well understood. Here, we review the literature of the neural correlates of reading fluency as well as rapid automatized naming (RAN), a task that is robustly related to reading fluency. In a qualitative review of the neuroimaging literature, we evaluated structural and functional MRI studies of reading fluency in readers from a range of skill levels. This was followed by a quantitative activation likelihood estimate (ALE) meta-analysis of fMRI studies of reading speed and RAN measures. We anticipated that reading speed, relative to untimed reading and reading-related tasks, would harness ventral reading pathways that are thought to enable the fast, visual recognition of words. The qualitative review showed that speeded reading taps the entire canonical reading network. The meta-analysis indicated a stronger role of the ventral reading pathway in rapid reading and rapid naming. Both reviews identified regions outside the canonical reading network that contribute to reading fluency, such as the bilateral insula and superior parietal lobule. We suggest that fluent reading engages both domain-specific reading pathways as well as domain-general regions that support overall task performance and discuss future avenues of research to expand our understanding of the neural bases of fluent reading.

Cellular function of the GndA small open reading frame-encoded polypeptide during heat shock.

Over the past 15 years, hundreds of previously undiscovered bacterial small open reading frame (sORF)-encoded polypeptides (SEPs) of fewer than fifty amino acids have been identified, and biological functions have been ascribed to an increasing number of SEPs from intergenic regions and small RNAs. However, despite numbering in the dozens in Escherichia coli, and hundreds to thousands in humans, same-strand nested sORFs that overlap protein coding genes in alternative reading frames remain understudied. In order to provide insight into this enigmatic class of unannotated genes, we characterized GndA, a 36-amino acid, heat shock-regulated SEP encoded within the +2 reading frame of the gnd gene in E. coli K-12 MG1655. We show that GndA pulls down components of respiratory complex I (RCI) and is required for proper localization of a RCI subunit during heat shock. At high temperature GndA deletion (ΔGndA) cells exhibit perturbations in cell growth, NADH+/NAD ratio, and expression of a number of genes including several associated with oxidative stress. These findings suggest that GndA may function in maintenance of homeostasis during heat shock. Characterization of GndA therefore supports the nascent but growing consensus that functional, overlapping genes occur in genomes from viruses to humans.

Investigating the crowding effect on letters and symbols in deaf adults.

Reading requires the transformation of a complex array of visual features into sounds and meaning. For deaf signers who experience changes in visual attention and have little or no access to the sounds of the language they read, understanding the visual constraints underlying reading is crucial. This study aims to explore a fundamental aspect of visual perception intertwined with reading: the crowding effect. This effect manifests as the struggle to distinguish a target letter when surrounded by flanker letters. Through a two-alternative forced choice task, we assessed the recognition of letters and symbols presented in isolation or flanked by two or four characters, positioned either to the left or right of fixation. Our findings reveal that while deaf individuals exhibit higher accuracy in processing letters compared to symbols, their performance falls short of that of their hearing counterparts. Interestingly, despite their proficiency with letters, deaf individuals didn't demonstrate quicker letter identification, particularly in the most challenging scenario where letters were flanked by four characters. These outcomes imply the development of a specialized letter processing system among deaf individuals, albeit one that may subtly diverge from that of their hearing counterparts.

Performance and eye movement patterns of industrial design students reading sustainable design articles.

Sustainable design education plays a crucial role in cultivating sustainability awareness and competencies among students studying industrial design. This research investigates their sustainability levels, reading performance when engaging with articles, and fixation patterns during reading. 60 industrial design students participated in the study. We evaluated their sustainability levels using the Sustainable Consumption Measurement Scale. After reading both theoretical and case article, they completed tests assessing their recall and perspective scores. We collected eye-tracking data to analyze fixation duration and conducted lag sequential analysis on fixation transitions. Students were categorized into higher and lower sustainability groups based on their sustainability scores. Female students demonstrated higher sustainability levels, and students with design experience performed better in the higher sustainability group. While recall scores did not differ significantly, the higher sustainability group exhibited elevated perspective scores in theory article. Perspective scores were generally higher for case article compared to theory article. The higher sustainability group exhibited longer fixation durations in theory article, while the case article had longer fixation durations on images. Fixation transition patterns varied between theoretical and case article, with the former featuring transitions from images to texts, and the latter demonstrating transitions between images. This study provides valuable insights into sustainable design education for students studying industrial design.

Effect of Repeated Reading on Reading Fluency for Adults with Specific Learning Disabilities.

The current study implemented an alternating-treatments design with Standard Celeration Charting. The applied experiment occurred via telecommunication and assessed the effectiveness of repeated reading (RR) on reading fluency for two adults with specific learning disabilities using high-level and low-level reading passages. Participants reread each passage until they met a predetermined fluency criterion. We measured participants reading fluency using correct words per 1 min (CWPM) and assessed for retention at 1 week, 2 weeks, and 1 month. Both participants reached their fluency aims and maintained their progress postintervention. • RR can improve reading fluency for children and adults with reading deficits. • RR practice sessions require minutes to implement, which offers great flexibility for scheduling. • Telecommunication represents an effective modality for implementing RR procedures for adults with reading disabilities. • Participants in the study retained their fluency gains post-intervention, supporting that time spent on RR may represent a good investment for clinicians.

Constraining current neuroanatomical models of reading: the view from Arabic.

There is a growing interest in imaging understudied orthographies to unravel their neuronal correlates and their implications for existing computational and neuroanatomical models. Here, we review current brain mapping literature about Arabic words. We first offer a succinct description of some unique linguistic features of Arabic that challenge current cognitive models of reading. We then appraise the existing functional neuroimaging studies that investigated written Arabic word processing. Our review revealed that (1) Arabic is still understudied, (2) the most investigated features concerned the effects of vowelling and diglossia in Arabic reading, (3) findings were not always discussed in the light of existing reading models such as the dual route cascaded, the triangle, and the connectionist dual process models, and (4) current evidence is unreliable when it comes to the exact neuronal pathways that sustain Arabic word processing. Overall, despite the fact that Arabic has some unique linguistic features that challenge and ultimately enrich current reading models, the existing functional neuroimaging literature falls short of offering a reliable evidence about brain networks of Arabic reading. We conclude by highlighting the need for more systematic studies of the linguistic features of Arabic to build theoretical and neuroanatomical models that are concurrently specific and general.

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.

LUMINA: Linguistic unified multimodal Indonesian natural audio-visual dataset.

The LUMINA (Linguistic Unified Multimodal Indonesian Natural Audio-Visual) Dataset is a carefully curated constrained audio-visual dataset designed to support research in the field of speech perception. Spoken exclusively in Indonesian, LUMINA contains high-quality audio-visual recordings featuring 14 native speakers, including 9 males and 5 females. Each speaker contributes approximately 1,000 sentences, producing a rich and diverse data collection. The recorded videos focus on facial recordings, capturing essential visual cues and expressions that accompany speech. This extensive dataset provides a valuable resource for understanding how humans perceive and process spoken language, paving the way for speech recognition and synthesis technology advancements.