Research on the Ranked Searchable Encryption Scheme Based on an Access Tree in IoTs

With the continuous development of the Internet of things (IoTs), data security and privacy protection in the IoTs are becoming increasingly important. Aiming at the hugeness, redundancy, and heterogeneity of data in the IoTs, this paper proposes a ranked searchable encryption scheme based on an access tree. First, this solution introduces parameters such as the word position and word span into the calculation of the relevance score of keywords to build a more accurate document index. Secondly, this solution builds a semantic relationship graph based on mutual information to expand the query semantics, effectively improving the accuracy and recall rate during retrieval. Thirdly, the solution uses an access tree control structure to control user authority and realizes fine-grained access management to data by data owners in the IoTs. Finally, the safety analysis of this scheme and the efficiency comparison with other existing schemes are given.

THE PRODUCTION OF ENGLISH CONSONANTS /θ/ AND /ð/ BY ENGLISH DEPARTMENT STUDENTS

Indonesians have been taking much concern in English since it has been applied in formal education curricula. Also, not all Indonesians are familiar with English pronunciation, especially its characteristics in phonemes. Some English consonants even do not exist in Indonesian consonants such as the sounds /θ/ and /ð/ categorized as voiceless and voiced interdental fricatives. Due to this concern, this study investigates the production of English voiced and voiceless interdental consonants uttered by English Department students as non-native speakers of English using the Praat application. There were eight undergraduate first-year English major students as the respondents. The researcher gave them eighteen words consisting of /θ/ and /ð/ sounds in initial, medial, and final word-position. The data are in audio recordings. The result revealed that most students changed the voiced interdental fricative into consonants such as /d/ and /t/. This inappropriate way also happened when they produced voiceless interdental fricatives. They changed /θ/ sound into consonant sounds such as /d/ and /t/.

Lexical frequency and sentence context influence the brain’s response to single words

Typical adults read remarkably quickly. Such fast reading is facilitated by brain processes that are sensitive to both word frequency and contextual constraints. It is debated as to whether these attributes have additive or interactive effects on language processing in the brain. We investigated this issue by analysing existing magnetoencephalography data from 99 participants reading intact and scrambled sentences. Using a cross-validated model comparison scheme, we found that lexical frequency predicted the word-by-word elicited MEG signal in a widespread cortical network, irrespective of sentential context. In contrast, index (ordinal word position) was more strongly encoded in sentence words, in left front-temporal areas. This confirms that frequency influences word processing independently of predictability, and that contextual constraints affect word-byword brain responses. With a conservative multiple comparisons correction, only the interaction between lexical frequency and surprisal survived, in anterior temporal and frontal cortex, and not between lexical frequency and entropy, nor between lexical frequency and index. However, interestingly, the uncorrected index*frequency interaction revealed an effect in left frontal and temporal cortex that reversed in time and space for intact compared to scrambled sentences. Finally, we provide evidence to suggest that, in sentences, lexical frequency and predictability may independently influence early (<150ms) and late stages of word processing, but also interact during late stages of word processing (>150-250ms), thus helping to converge previous contradictory eye-tracking and electrophysiological literature. Current neuro-cognitive models of reading would benefit from accounting for these differing effects of lexical frequency and predictability on different stages of word processing.

Acoustic Characteristics of Pre- and Post-vocalic /l/: Patterns from One Southern White Vernacular English

This study examined acoustic characteristics of the phoneme /l/ produced by young female and male adult speakers of Southern White Vernacular English (SWVE) from Louisiana. F1, F2, and F2-F1 values extracted at the /l/ midpoint were analyzed by word position (pre- vs. post-vocalic) and vowel contexts (/i, ɪ/ vs. /ɔ, a/). Descriptive analysis showed that SWVE /l/ exhibited characteristics of the dark /l/ variant. The formant patterns of /l/, however, differed significantly by word position and vowel context, with pre-vocalic /l/ showing significantly higher F2-F1 values than post-vocalic /l/, and /l/ in the high front vowel context showing significantly higher F2-F1 values than those in the low back vowel context. Individual variation in the effects of word position and vowel contexts on /l/ pattern was also observed. Overall, the findings of the current study showed a gradient nature of SWVE /l/ variants whose F2-F1 patterns generally fell into the range of the dark /l/ variant, while varying by word position and vowel context.

Comparing predictors of sentence self-paced reading times: Syntactic complexity versus transitional probability metrics

When estimating the influence of sentence complexity on reading, researchers typically opt for one of two main approaches: Measuring syntactic complexity (SC) or transitional probability (TP). Comparisons of the predictive power of both approaches have yielded mixed results. To address this inconsistency, we conducted a self-paced reading experiment. Participants read sentences of varying syntactic complexity. From two alternatives, we selected the set of SC and TP measures, respectively, that provided the best fit to the self-paced reading data. We then compared the contributions of the SC and TP measures to self-paced reading times when entered into the same model. Our results showed that while both measures explained significant portions of variance in reading times (over and above control variables: word/sentence length, word frequency and word position) when included in independent models, their contributions changed drastically when SC and TP were entered into the same model. Specifically, we only observed significant effects of TP. We conclude that in our experiment the control variables explained the bulk of variance. When comparing the small effects of SC and TP, the effects of TP appear to be more robust.

Language Styles of Lailatun Ghaba ‘Anha al-Qamar Short Story by Najib al-Kilany (A Stylistic Analysis)/Stilistika Cerpen Lailatun Ghaba ‘anha Al-Qamar Karya Najib Al-Kilany

This study aims to reveal the beauty of the language style in the short story Lailatun Ghaba 'anha al-Qamar by najib al-Kilany through a stylistic perspective. Najib al-Kilany as a writer also has his own style that is interesting to know. This study uses a descriptive method of data analysis by deploying data collection techniques, namely observations and note-taking. The results of this study reveal several stylistic aspects contained in the short story, such as: a semantic aspect which includes the use of at-taraduf (synonym), a syntactic aspect which includes the function of at-taqdim wa at-ta'khir (prioritizing word position and ending it), and an imagery aspect which includes simile, hyperbole, metaphor, and synecdoche styles. Based on the study’s results, it is concluded that Najib al-Kilany emphasizes the imaginary side of a story, which leads the reader to being immersed in his work.

Comparing predictors of sentence self-paced reading times: Syntactic complexity versus transitional probability metrics

When estimating the influence of sentence complexity on reading, researchers typically opt for one of two main approaches: Measuring syntactic complexity (SC) or transitional probability (TP). Comparisons of the predictive power of both approaches have yielded mixed results. To address this inconsistency, we conducted a self-paced reading experiment. Participants read sentences of varying syntactic complexity. From two alternatives, we selected the set of SC and TP measures, respectively, that provided the best fit to the self-paced reading data. We then compared the contributions of the SC and TP measures to reading times when entered into the same model. Our results showed that both measures explained significant portions of variance in self-paced reading times. Thus, researchers aiming to measure sentence complexity should take both SC and TP into account. All of the analyses were conducted with and without control variables known to influence reading times (word/sentence length, word frequency and word position) to showcase how the effects of SC and TP change in the presence of the control variables.