Naming Accuracy Research Articles

The Effect of Semantic Context on Lexical Access in Children With and Without Developmental Language Disorder

Objectives: Lexical access problems are one of the limitations observed in children with developmental language disorders during the initial years of schooling. Semantic context has a powerful influence on lexical access. The cross-modal visual-auditory picture-word interference paradigm is a method for studying adults and children's lexical access. Because few studies have examined lexical access in Persian-speaking children, the present study aimed to investigate the effect of different semantic contexts on lexical access in children with and without developmental language disorder. Methods: In this experimental study, 20 children aged 7-9 years with developmental language disorders and 20 age-matched peers were recruited according to the inclusion and exclusion criteria. At first, the picture-word interference paradigm was prepared. In so doing, 16 common pictures of objects paired with four auditory interfering words (related verb, related noun, unrelated verb, and unrelated noun) were presented to the children in a silent condition to determine their naming accuracy and latency. The DMDX software calculated the naming latency. The percentage of correct names also calculated naming accuracy. Results: Naming latencies were significantly faster in children without language disorders (P≤0.05). In addition, a reliable interference effect was found. According to the results, naming latencies were significantly faster for related verb distractors than unrelated verbs and related noun distractors (P<0.05). In addition, a significant difference was observed between the silent and interference conditions regarding the naming accuracy. However, accuracy was not affected by distractors. Discussion: Different semantic contexts affect lexical access differently in children. These differences cause semantic relatedness between verbs and nouns in lexical networks. The present study findings indicate that lexical knowledge and semantic relatedness are lower in children with developmental language disorders than in those with typical language development. These results can be useful for future studies and interventions on lexical access in children with and without language disorders.

APOE Genotype Modifies the Association of Fusiform Gyrus Cerebral Metabolic Rate of Oxygen Consumption and Object Naming Performance.

The apolipoprotein E (APOE) ɛ4 allele confers risk for age and Alzheimer's disease related cognitive decline but the mechanistic link remains poorly understood. Blood oxygenation level dependent (BOLD) response in the fusiform gyrus (FG) during object naming appears greater among APOEɛ4 carriers even in the face of equivalent cognitive performance, suggesting neural compensation. However, BOLD is susceptible to known age and APOE-related vascular changes that could confound its interpretation. To address this limitation, we used calibrated fMRI during an object naming task and a hypercapnic challenge to obtain a more direct measure of neural function - percent change cerebral metabolic rate of oxygen consumption (%ΔCMRO2). Participants were 45 older adults without dementia (28 ɛ4-, 17 ɛ4+) between the ages of 65 and 85. We examined APOE-related differences in %ΔCMRO2 in the FG during object naming and the extent to which APOE modified associations between FG %ΔCMRO2 and object naming accuracy. Exploratory analyses also tested the hypothesis that %ΔCMRO2 is less susceptible to vascular compromise than are measures of %ΔCBF and %ΔBOLD. We observed a modifying role of APOE on associations between FG %ΔCMRO2 and cognition, with ɛ4 carriers (but not non-carriers) demonstrating a positive association between right FG %ΔCMRO2 and object naming accuracy. Results suggest that the relationship between neural function and cognition is altered among older adult APOEɛ4 carriers prior to the onset of dementia, implicating CMRO2 response as a potential mechanism to support cognition in APOE-related AD risk.

The Resilience of the Phonological Network May Have Implications for Developmental and Acquired Disorders.

A central tenet of network science states that the structure of the network influences processing. In this study of a phonological network of English words we asked: how does damage alter the network structure (Study 1)? How does the damaged structure influence lexical processing (Study 2)? How does the structure of the intact network "protect" processing with a less efficient algorithm (Study 3)? In Study 1, connections in the network were randomly removed to increasingly damage the network. Various measures showed the network remained well-connected (i.e., it is resilient to damage) until ~90% of the connections were removed. In Study 2, computer simulations examined the retrieval of a set of words. The performance of the model was positively correlated with naming accuracy by people with aphasia (PWA) on the Philadelphia Naming Test (PNT) across four types of aphasia. In Study 3, we demonstrated another way to model developmental or acquired disorders by manipulating how efficiently activation spread through the network. We found that the structure of the network "protects" word retrieval despite decreases in processing efficiency; words that are relatively easy to retrieve with efficient transmission of priming remain relatively easy to retrieve with less efficient transmission of priming. Cognitive network science and computer simulations may provide insight to a wide range of speech, language, hearing, and cognitive disorders.

Semantic and Syntactic Anomalies of Arabic-transliterated Compound Shop Names in Saudi Arabia

This study aims to explore the denotative meaning of compound shop names in Saudi Arabia, and identify the types of semantic and syntactic anomalies in the Arabic transliterations of English compound shop names. A corpus of compound shop names was collected from 12 major cities in a Saudi Mall Directory. After eliminating international shop names, pure Arabic shop names, single-word and duplicate shop names, a sample of 168 compound shop names consisting of locally-coined English shop names and mixed shop names was subjected to further analysis. In addition, a sample of students majoring in languages and translation took a compound shop name test where they had to judge the semantic and syntactic accuracy and acceptance of compound shop names. Results showed that 69% of the Arabic transliterations of the compound shop nouns in the sample have syntactic and/or semantic anomalies. 22% have syntactic anomalies as opposed 14% semantic anomalies and 23% have both semantic and syntactic anomalies combined. Some compound shop names are meaningless because the two elements of the compound are incongruous (Operation Falafel اوبريشن فلافل; Rude Shake (روود شيك. Others have faulty word order (Mama Batata ماما بطاطا ; قوركان شيف) ; faulty use of the definite article ((المنيو دونتس; use of constituents in the compound with the same meaning from two foreign languages )THE BEAU WOW); the English plural /-s/ is added to the Arabic word ملهم in Max Molhams ماكس ملهمز; splitting words into syllables or two parts ) اكس و ريزAccessories(; كلاي ماكس(Climax); combining two words and spelling them as one lexeme شرمبشاك)). Responses to the judgment test of the semantic and syntactic anomalies in shop names showed that the students could identify more semantic than syntactic anomalies (90% vs 80% respectively). They had difficulty understanding ماكس ملهمز- قوركان شيف - أوبريشن فلافل- شرمبشاك –ماما بطاطا that have both semantic and syntactic anomalies. They found them unacceptable and difficult to comprehend. The study gives some recommendations for translating rather than transliterating English compound shop names to overcome the semantic and syntactic anomalies.

Legal Entity Extraction: An Experimental Study of NER Approach for Legal Documents

In legal domain Name Entity Recognition serves as the basis for subsequent stages of legal artificial intelligence. In this paper, the authors have developed a dataset for training Name Entity Recognition (NER) in the Indian legal domain. As a first step of the research methodology study is done to identify and establish more legal entities than commonly used named entities such as person, organization, location, and so on. The annotators can make use of these entities to annotate different types of legal documents. Variety of text annotation tools are in existence finding the best one is a difficult task, so authors have experimented with various tools before settling on the best one for this research work. The resulting annotations from unstructured text can be stored into a JavaScript Object Notation (JSON) format which improves data readability and manipulation simple. After annotation, the resulting dataset contains approximately 30 documents and approximately 5000 sentences. This data further used to train a spacy pre-trained pipeline to predict accurate legal name entities. The accuracy of legal names can be increased further if the pre-trained models are fine-tuned using legal texts.

Investigating the modulation of stimulus types on language switching costs: Do semantic and repetition priming effect matter?

In the present study, I investigated the influence of stimulus types on bilingual control in the language switching process. The commonly employed stimuli in language switching studies - Arabic digits and objects - were compared to further investigate the way in which inhibitory control could be modulated by semantic and repetition priming effects. The digit stimuli have two unique characteristics in the language switching paradigm, for example, they are present repeatedly and are semantically related to each other, compared with pictural stimuli. Thus, these unique characteristics might influence the operation of inhibitory control in bilingual language production, modulating the size and asymmetry of switching costs. Two picture control sets were set up to match those characteristics: (1) a semantic control set, in which picture stimuli belong to the same category group, such as, animals, occupations or transportation and specific semantic categories were presented in a blocked condition; and (2) a repeated control set, in which nine different picture stimuli were repeatedly presented like the Arabic digits from 1 to 9. When comparing the digit condition and the standard picture condition, analyses of naming latencies and accuracy rates revealed that switching costs were reliably smaller for digit naming than for picture naming and the L1 elicited more switching costs for picture naming than for digit naming. On the other hand, when comparing the digit condition and the two picture control sets, it was found that the magnitude of switching costs became identical and the asymmetry in switching costs became much smaller between the two languages.

Baseline structural imaging correlates of treatment outcomes in semantic variant primary progressive aphasia.

Semantic variant primary progressive aphasia (svPPA) is a neurodegenerative disorder characterized by a loss of semantic knowledge in the context of anterior temporal lobe atrophy (left>right). Core features of svPPA include anomia and single-word comprehension impairment. Despite growing evidence supporting treatment for anomia in svPPA, there is a paucity of research investigating neural mechanisms supporting treatment-induced gains and generalization to untrained items. In the current study, we examined the relation between the structural integrity of brain parenchyma (tissue inclusive of gray and white matter) at pre-treatment and treatment outcomes for trained and untrained items in a group of 19 individuals with svPPA who completed lexical retrieval treatment. Two structural neuroimaging approaches were used: an exploratory, whole-brain, voxel-wise approach and an a priori region of interest (ROI) approach. Based on previous research, bilateral temporal (inferior, middle, and superior temporal gyri), parietal (supramarginal and angular gyri), frontal (inferior and middle frontal gyri) and medial temporal (hippocampus and parahippocampal gyri) ROIs were selected from the Automated Anatomical Labeling (AAL) atlas. Analyses revealed improved naming of trained items and generalization to untrained items following treatment, providing converging evidence that individuals with svPPA can benefit from treatment for anomia. Better post-treatment naming accuracy was associated with the structural integrity of inferior parietal cortex and the hippocampus. Specifically, improved naming of trained items was related to the left supramarginal (phonological processing) and angular gyri (phonological and semantic processing), and improved naming of trained and untrained items was related to the left hippocampus (episodic, context-based memory). Future research should examine treatment outcomes in relation to pre-treatment functional and structural connectivity as well as changes in network dynamics following speech-language intervention to further elucidate the neural mechanisms underlying treatment response in svPPA and related disorders.

Temporal processing tele-intervention improves language, attention, and memory in children with neurodevelopmental disorders.

Temporal processing is the brain's ability to process rapid successive stimuli, and children with neurodevelopmental disorders showed temporal processing deficits. Empirical evidence suggests that in-person intervention on temporal processing improves various cognitive functions of these children, and the present study aimed to study the effects of temporal processing tele-intervention (TPT) on the cognitive functions of children with neurodevelopmental disorders. Ninety-five children with neurodevelopmental disorders were recruited and randomly assigned to remotely receive either TPT or conventional language remediation (CLR) in 20 parallel group-based intervention sessions once per week. Their cognitive functions were assessed before and after the intervention. The TPT group demonstrated a specific and significant improvement in working memory (p < .001). While there was an overall significant improvement in sustained attention in terms of processing speed after both types of intervention (p = .006), the positive effects of TPT might be more prominent than that of CLR given the significant pre-post difference after receiving TPT (p = .012) but not CLR (p = .21). Regarding rapid naming accuracy which had marginally significant improvement after the intervention (p = .03), the trend of improvement in TPT (p = .05) also seemed more apparent than that of CLR (p = .18). Finally, the TPT group had significant improvement in word knowledge (p < .001), rapid naming speed (p < .001), sustained attention in terms of accuracy (p < .001), and verbal learning and memory (p < .01) to an extent similar to that of the CLR group. These findings suggest that TPT can be a potential intervention for improving cognitive functions in children with neurodevelopmental disorders. Clinical trial registration number: NCT05428657 at ClinicalTrials.gov (https://clinicaltrials.gov/).

Weaker than you might imagine: Determining imageability effects on word recognition

Imageability – the ease of generating a mental image for a word – has been commonly used as a predictor of word recognition but its effects are highly variable across the literature, raising questions about the robustness and stability of the construct. We compared six existing imageability norms in their ability to predict RT and accuracy in lexical decision and word naming across thousands of words. Results showed that, when lexical and sensorimotor sources of variance were partialled out, imageability predicted little unique variance in word recognition performance and effect sizes varied greatly between norms. Further analysis suggested that such heterogenous effect sizes are likely due to inconsistent strategies in how participants interpret and rate imageability in norming studies, despite consistent instructions. Our findings suggest that the ease of generating a mental image for a word does not reliably facilitate word recognition and that imageability ratings should be used with caution in such research.

DNA Authentication and Chemical Analysis of Psilocybe Mushrooms Reveal Widespread Misdeterminations in Fungaria and Inconsistencies in Metabolites.

The mushroom genus Psilocybe is best known as the core group of psychoactive mushrooms, yet basic information on their diversity, taxonomy, chemistry, and general biology is still largely lacking. In this study, we reexamined 94 Psilocybe fungarium specimens, representing 18 species, by DNA barcoding, evaluated the stability of psilocybin, psilocin, and their related tryptamine alkaloids in 25 specimens across the most commonly vouchered species (Psilocybe cubensis, Psilocybe cyanescens, and Psilocybe semilanceata), and explored the metabolome of cultivated P. cubensis. Our data show that, apart from a few well-known species, the taxonomic accuracy of specimen determinations is largely unreliable, even at the genus level. A substantial quantity of poor-quality and mislabeled sequence data in public repositories, as well as a paucity of sequences derived from types, further exacerbates the problem. Our data also support taxon- and time-dependent decay of psilocybin and psilocin, with some specimens having no detectable quantities of them. We also show that the P. cubensis metabolome possibly contains thousands of uncharacterized compounds, at least some of which may be bioactive. Taken together, our study undermines commonly held assumptions about the accuracy of names and presence of controlled substances in fungarium specimens identified as Psilocybe spp. and reveals that our understanding of the chemical diversity of these mushrooms is largely incomplete. These results have broader implications for regulatory policies pertaining to the storage and sharing of fungarium specimens as well as the use of psychoactive mushrooms for recreation and therapy. IMPORTANCE The therapeutic use of psilocybin, the active ingredient in "magic mushrooms," is revolutionizing mental health care for a number of conditions, including depression, posttraumatic stress disorder (PTSD), and end-of-life care. This has spotlighted the current state of knowledge of psilocybin, including the organisms that endogenously produce it. However, because of international regulation of psilocybin as a controlled substance (often included on the same list as cocaine and heroin), basic research has lagged far behind. Our study highlights how the poor state of knowledge of even the most fundamental scientific information can impact the use of psilocybin-containing mushrooms for recreational or therapeutic applications and undermines critical assumptions that underpin their regulation by legal authorities. Our study shows that currently available chemical studies are mainly inaccurate, irreproducible, and inconsistent, that there exists a high rate of misidentification in museum collections and public databases rendering even names unreliable, and that the concentration of psilocybin and its tryptamine derivatives in three of the most commonly collected Psilocybe species (P. cubensis, P. cyanescens, and P. semilanceata) is highly variable and unstable in museum specimens spanning multiple decades, and our study generates the first-ever insight into the highly complex and largely uncharacterized metabolomic profile for the most commonly cultivated magic mushroom, P. cubensis.

Features of eye movements during rapid automatized naming in Chinese children aged 7-11 years.

Rapid Automatized Naming (RAN) tests have been well-documented to predict reading abilities as well as a variety of neurobiological disorders (e.g., developmental dyslexia). Traditional measures of RAN tests only take into account the naming time and accuracy and cannot reflect temporal-spatial features during RAN tests. Although the eye tracking approach appears to be a promising tool for characterizing the essential temporal-spatial characteristics of RAN tests, no research has been conducted to investigate whether and how gender, age, and task-type alter those characteristics. Additionally, no study has examined eye movements during a Chinese adaptation of RAN in order to expand the applicability of RAN to developmental dyslexia in Chinese. To address the concerns stated above, this article recruited 408 children (206 males, aged 7-11 years) and adopted eight measures to quantify features of eye movements during a Chinese adaptation of RAN. Findings showed that: (1) eight eye-movement measures had the main effects of task-type and age, but only five of them had the main effect of gender (in particular, females outperformed males); (2) RAN abilities observed by eight eye-movement measures initially developed quickly before the age of 9, and then entered a relatively sluggish development phase; (3) non-alphanumeric RAN tasks generally required higher mental load (implying more fixation counts, saccade counts, and regression counts, smaller average saccade amplitude, fixation duration fluctuation and saccade amplitude fluctuation, and longer average fixation duration and total time of naming) than alphanumeric ones; (4) there were significant correlations between total time of naming (a widely-used behavioral parameter) and other eye-movement measures; and (5) there were significant correlation between eight eye-movement measures and three attention-related skills observed from a number cancellation task. The current study might offer some perspectives on the understanding of normative data of eye movements during RAN in Chinese school-aged children, as well as the applications (e.g., developmental dyslexia) associated with RAN.

The Chinese Lexicon Project II: A megastudy of speeded naming performance for 25,000+ traditional Chinese two-character words.

Using a megastudy approach, (Tse et al.,2017Behavior Research Methods, 49,1503-1519)established a large-scale repository of lexical variables and lexical decision responses for more than 25,000 traditional Chinese two-character words. In the current study, we expand their database by collecting norms for speeded naming reaction times (RTs) and accuracy rates, and compiling more lexical variables (e.g., phonological consistency and semantic neighborhood size). Following Tse et al.'s procedure, about 33 college-aged native Cantonese speakers in Hong Kong read aloud each word. We conducted item-level regression analyses to test the relative predictive power of orthographic variables (e.g., stroke count), phonological variables (e.g., phonological consistency), and semantic variables (e.g., semantic transparency) in naming performance. We also compared the effects of lexical variables on naming performance and Tse et al.'s lexical decision performance to examine the extent to which effects are task-specific or task-general. Freely accessible to the research community, this resource provides a valuable addition to other influential mega-databases, such as the English Lexicon Project (Balota et al., 2004Journal of Experimental Psychology: General, 133, 283-316), and furthers our understanding of Chinese word recognition processes.

Mis-mappings between a producer's quantitative test codes and LOINC codes and an algorithm for correcting them.

To access the accuracy of the Logical Observation Identifiers Names and Codes (LOINC) mapping to local laboratory test codes that is crucial to data integration across time and healthcare systems. We used software tools and manual reviews to estimate the rate of LOINC mapping errors among 179 million mapped test results from 2 DataMarts in PCORnet. We separately reported unweighted and weighted mapping error rates, overall and by parts of the LOINC term. Of included 179537986 mapped results for 3029 quantitative tests, 95.4% were mapped correctly implying an 4.6% mapping error rate. Error rates were less than 5% for the more common tests with at least 100000 mapped test results. Mapping errors varied across different LOINC classes. Error rates in chemistry and hematology classes, which together accounted for 92.0% of the mapped test results, were 0.4% and 7.5%, respectively. About 50% of mapping errors were due to errors in the property part of the LOINC name. Mapping errors could be detected automatically through inconsistencies in (1) qualifiers of the analyte, (2) specimen type, (3) property, and (4) method. Among quantitative test results, which are the large majority of reported tests, application of automatic error detection and correction algorithm could reduce the mapping errors further. Overall, the mapping error rate within the PCORnet data was 4.6%. This is nontrivial but less than other published error rates of 20%-40%. Such error rate decreased substantially to 0.1% after the application of automatic detection and correction algorithm.

Stimulus- and Person-Level Variables Influence Word Production and Response to Anomia Treatment for Individuals With Chronic Poststroke Aphasia.

The impact of stimulus-level psycholinguistic variables and person-level semantic and phonological processing skills on treatment outcomes in individuals with aphasia requires further examination to inform clinical decision making in treatment prescription and stimuli selection. This study investigated the influence of stimulus-level psycholinguistic properties and person-level semantic and phonological processing skills on word production accuracy and treatment response. This retrospective analysis included 35 individuals with chronic, poststroke aphasia, 30 of whom completed typicality-based semantic feature treatment. Mixed-effects logistic regression models were used to predict binary naming accuracy (a) at baseline and (b) over the course of treatment using stimulus-level psycholinguistic word properties and person-level semantic and phonological processing skills as predictors. In baseline naming, words with less complex lexical-semantic and phonological properties showed greater predicted accuracy. There was also an interaction at baseline between stimulus-level lexical-semantic properties and person-level semantic processing skills in predicting baseline naming accuracy. With treatment, words that were more complex from a lexical-semantic standpoint (vs. less complex) and less complex from a phonological standpoint (vs. more complex) improved more. Individuals with greater baseline semantic and phonological processing skills showed a greater treatment response. This study suggests that future clinical research and clinical work should consider semantic and phonological properties of words in selecting stimuli for semantically based treatment. Furthermore, future clinical research should continue to evaluate baseline individual semantic and phonological profiles as predictors of response to semantically based treatment. https://doi.org/10.23641/asha.21256341.

Visual word recognition among oldest old people: The effect of age and cognitive load.

During the fourth age, a marked physiological deterioration and critical points of dysfunction are observed, during which cognitive performance exhibits a marked decline in certain skills (fluid intelligence) but good performance of others (crystallized intelligence). Experimental evidence describes important constraints on word production during old age, accompanied by a relative stabilization of speech comprehension. However, cognitive changes associated with advanced aging could also affect comprehension, particularly word recognition. The present study examines how the visual recognition of words is affected during the fourth age when tasks involving different cognitive loads are applied. Through linear regression models, performance was compared between two third-age groups and a fourth-age group on reaction time (RT) and accuracy in naming, priming and lexical decision experiments. The fourth-age group showed a significant RT increase in all experiments. In contrast, accuracy was good when the task involved a low cognitive demand (Experiments 1 and 2); however, when a decisional cognitive factor was included (Experiment 3), the fourth-age group performed significantly worse than the younger third-age group. We argue that the behavior observed among fourth-age individuals is consistent with an unbalanced cognitive configuration, in which the fluid intelligence deficit significantly reduces the speed necessary to recognize words, independent of the cognitive load associated with the test. In contrast, the maintenance in crystallized intelligence improves the accuracy of the process, strengthening linguistic functionality in the advanced stages of old age.

The effect of processing semantic features on spoken word retrieval in a case series of people with aphasia

Purpose: There is a growing body of evidence showing the benefit of Semantic Feature Analysis in the treatment of word finding abilities in people with aphasia. The original technique was grounded in the hypothesis that the activation of semantic features spreads to the target and thereby facilitates its subsequent retrieval. However, it remains unclear the extent to which the focus on semantic features influences the treatment effects. The aim of this study was therefore to shed light on this issue by examining the effect of priming with semantic features (parts and functions) on target retrieval across a case series of people with aphasia. Method: 10 people with aphasia and word retrieval impairments were primed with spoken forms of words that were either the target name (identity condition, e.g. car), parts of the target (e.g. wheel) or functions of the target (e.g. drive) before later being asked to name a picture of that target. An unrelated prime condition (e.g. employ) was used as a control for test-retest effects. Result: At a group level, there was speeding of reaction times in picture naming in the identity condition relative to the unrelated condition; however, no effect of priming was found for either parts or functions. There was significantly better response accuracy in post-priming naming, but this effect did not reach significance for any individual experimental condition (identity, parts, functions) as compared to the unrelated condition, although the identity condition showed numerical improvement while the other two conditions showed decline. Conclusion: Given the lack of evidence for facilitatory effects from parts and functions of a target in a priming task, this research suggests that further research is warranted on the extent to which the improvement in word retrieval subsequent to Semantic Feature Analysis is caused by the emphasis on production of semantic features rather than from the repetition of the target name.

What children’s number naming errors tell us about early understanding of multidigit numbers

This investigation examined the nature and development of a foundational symbolic numeric skill—number identification—focusing on children’s emerging knowledge of multidigit numbers. Two studies were conducted with Russian preschoolers. Study 1 (N = 350; 51–77 months of age) investigated age-related changes in the accuracy of number naming and in the types of errors children produced. The errors fell into distinct categories: syntactic (structural errors such as naming each digit separately without using place-value markers) and lexical (nonstructural errors such as replacing the name of a digit with the name of another digit). Number reading accuracy improved with age, primarily due to a decreased frequency of syntactic errors. Boys made fewer syntactic errors than girls. Study 2 (N = 110; 61–74 months of age) showed that accuracy of naming double-digit numbers was related to conceptual understanding of the base-10 numeric structure. The frequency of syntactic errors in number naming was negatively associated with the use of base-10 representations, whereas lexical errors were not related to children’s ability to represent base-10 number structure. Implications for understanding children’s mathematics trajectories are discussed.

Research on Wave and Energy Reduction Performance of Floating Breakwater Based on S-Shaped Runner

Aiming at the breeding environment where the construction of marine pastures requires low wind and waves, a floating breakwater (FB) with a Savonius type (referred to as S type) runner with wave absorption and energy reduction function is studied for wave absorption and energy reduction in aquaculture sea areas. The wave-absorbing and energy-reducing performance of the floating breakwater is studied by the method of combining numerical simulation and experiment. Using Star-CCM+ numerical simulation software, based on linear wave theory and energy conservation law, using overlapping grid technology, calling DFBI model, second-order time discretization, a three-dimensional flow field model of the floating breakwater was established and numerically simulated. At the same time, a floating breakwater physical test system was developed for experimental verification, the transmission wave and the conversion power consumption of the S-shaped runner under different wave heights and different periods were measured, and the results Please carefully check the accuracy of names and affiliations. of numerical simulation and physical experiments were comprehensively evaluated. The research results show that the floating breakwater based on the S-shaped runner has the functions of reducing the wave height and reducing the wave energy, which have guiding significance for practical engineering.

HAGDetector: Heterogeneous DGA domain name detection model

The botnet relies on the Command and Control (C&C) channels to conduct its malicious activities remotely. The Domain Generation Algorithm (DGA) is often used by botnets to hide their Command and Control (C&C) server and evade take-down attempts, which allows the bot to generate a large number of domain names until it finds its C&C server. The lengths of domain names generated by DGAs are different. Our research finds that the length of the domain name has an impact on the performance of the DGA domain name detection model. In other words, the model is sensitive to the length of the domain name. In this case, attackers can evade detection simply by designing domain names of specific lengths. Moreover, the detection accuracy of DGA domain names still needs to be further improved. To solve these problems, three feature extraction methods adapted to the length of the domain name are proposed in this paper. For extra-short domain names, we use the attention-based method to extract features, which can make use of the character-level semantic feature. For moderate-length domain names, a two-dimensional structure, namely Right Shifted Tensor (RST), is constructed to make the domain name present apparent features similar to images. For the extra-long domain name, the effective classification of domain names can be achieved by manually crafted easy-to-calculate features. Then, different detection structures are designed based on these tree feature extraction methods to form a heterogeneous DGA detection model, namely HAGDetector. In addition, the public suffix is an important part of the domain name. We further analyze the public suffix to evaluate its impact on the detection of DGA domain names. Finally, the experiments are conducted to assess the validity of HAGDetector, as well as compare our approach with the current state-of-the-art and highlight the impact of the domain name length. The experimental results show that our method greatly improves the detection performance.

Quantifying the regularities between orthography and semantics and their impact on group- and individual-level behavior.

Statistical views of reading highlight the link between proficient literacy and the assimilation of various regularities embedded in writing systems, including those in the mapping between print and meaning. Still, orthographic-semantic (O-S) regularities remain relatively understudied, with open questions regarding 3 issues: (a) how O-S regularities should be quantified, (b) how they impact the behavior of proficient readers, and (c) whether individual differences in sensitivity to these regularities predict reading skills. The goal of the current article is to address these questions. We start by reviewing previous studies estimating print-meaning regularities, where orthography-to-semantics consistency (OSC) is defined as the mean semantic similarity between a word and its orthographic neighbors. While we adopt this general strategy, we identify a potential confound in previous operational definitions. We therefore offer a modified measure, which we use to examine group-level OSC effects in available data sets of single word recognition and reading for comprehension. Our findings validate the existence of OSC effects but reveal variation across tasks, with OSC effects emerging more strongly in tasks involving a direct mapping of print to meaning. Next, we present a reanalysis of word naming data from 399 second through fifth graders, where we examine individual differences in reliance on O-S regularities and their relation to participants' reading skills. We show that early readers whose naming accuracy is more influenced by OSC (i.e., those who rely more on O-S) have better passage comprehension abilities. We conclude by discussing the role of O-S regularities in proficient reading and literacy acquisition. (PsycInfo Database Record (c) 2022 APA, all rights reserved).