Reviewerly/exHarmony huggingface dataset:
Student And Teacher Perceptions Of Extensive Reading Practice

Extensive reading practice is a reading activity that involves a variety of materials outside the official curriculum. This research aims to understand how students and teachers implement Extensive Reading Practice and its impact on language learning. The research method used is a literature review, in which information is collected and analyzed from various sources such as journal articles, books, and related references. The results showed that Extensive Reading Practice received positive responses from students and teachers. Students reported improved reading skills, increased vocabulary, better text comprehension, and increased interest in reading. Meanwhile, teachers reported that extensive reading practice increased students' motivation to learn and active participation in language learning. The role of the school in providing adequate resources for extensive reading practice is also very important. This includes a well-stocked library and a variety of reading materials to support different reading activities. Overall, this study shows that extensive reading practice has significant benefits for students and teachers in improving language proficiency and motivation to learn.
Analyzing directionality of influence among ensemble musicians using Granger Causality

In small musical groups, performers can seem to coordinate their movements almost effortlessly in remarkable exhibits of joint action and entrainment. To achieve a common musical goal, co-performers interact and communicate using non-verbal means such as upper-body movements, and particularly head motion. Studying these phenomena in naturalistic contexts can be challenging since most techniques make use of motion capture technologies that can be intrusive and costly. To investigate an alternative method, we analyze video recordings of a professional instrumental ensemble by extracting trajectory information using pose estimation algorithms. We examine Kansei perspectives such as the analysis of non-verbal expression conveyed by bodily movements and gestures, and test for causal relationships and directed influence between performers using the Granger Causality method. We compute weighted probabilities representing the likelihood that each performer Granger Causes co-performers’ movements. Effects of different aspects of musical textures were examined and results indicated stronger directionality for homophonic textures (clear melodic leader) than polyphonic (ambiguous leadership).
Trends of Higher-Vocational English Teaching Modes in China-Based on The Visualization of Cite-Space

Researches on higher-vocational English teaching modes in China have developed for 19 years from 2003 to 2022. There are 8342 researches on higher vocational English teaching modes till Aug. 2022. It is urgent to figure out the research trends of higher-vocational English teaching modes, which include the research hot spots, frontiers and prospects in order to make recommendations for the further researches. Since the number of relative researches has been decreasing since 2018, 3058 researches on higher-vocational English teaching modes from Jan. 2018 to Aug. 2022 on CNKI platform were collected for this study. Cite Space 6.1.R3, as literature visualization analysis tool, was utilized for the study. Cluster analysis, kkeywords visualization function, burst detection function, keywords clustering and timeline function of Cite Space were applied for this research. As the analysis results indicate, the major research trends of higher-vocational English teaching modes include blended teaching mode in China; higher-vocational English teaching modes based on We-chat and other platforms. Research frontiers include business English, public English and hotel English teaching modes; Spoc (Small Private Online Course) teaching modes. Research prospects include blended teaching mode in public English education. As for the authors and institutions for the literature, Zhao Keyan has 15 frequency by citation and Hunan Arts and Crafts Vocational College has the strongest strength. As for the recommendation for further researches on higher-vocational English teaching modes, blended teaching modes in public higher-vocational English education are proposed
43.1: An Efficient Power Saving Method for High Dynamic Range Display System Based on Adaptive Real‐time Backlight Control

An efficient high dynamic range (HDR) liquid crystal display (LCD) with the excellent performance was developed. The HDR Display technology can enhance the contrast ratio of pictures and reduce power consumption by utilizing adaptive controlled dynamic backlight. Improved methods about simplification of lookup tables (LUT), improvement of accuracy, and maintenance of details and chroma were studied, which make it a promising technique for displays.
Throwing Your Weight Around: Fixing Tor's Positional Weighting

We analyze deficiencies in Tor's positional weighting system, identifying cases in which the system either fails to produce valid weights or fails to properly load balance across positions. We describe how an attacker can take advantage of these failures to reduce Tor's performance, thereby also easing censorship and surveillance through a denial-of-service attack. Our attacks exploit incorrectly determined positional-weight equations by adding new capacity to the network or, for even more covertness, by just minor changes in the status of existing malicious relays. Our analysis of past Tor consensuses shows that these attacks could have reduced the throughput of the network by as much as 45% due only to their triggering of Tor's flawed position weights. Rather than a mere patch to Tor's currently ad hoc scheme, we then propose a new, systematic method for deriving positional weights and propose two goal sets generated using that method. We derive new sets of weights, prove that they satisfy these goal sets, and give examples of how they would change the weights from the current system. Tor could use our results to quickly fix the main deficiencies of its positional weights as well as adopt a better approach long-term.
Privacy-Preserving Outsourced Certificate Validation

Digital Covid certificates are the first widely deployed end-user cryptographic certificates. For service providers, such as airlines or event ticket vendors, that needed to check that their (global) customers satisfy certain health policies, the verification of such Covid certificates was challenging though - not because of the cryptography involved, but due to the multitude of issuers, different certificate types and the evolving nature of country-specific policies that had to be supported. As Covid certificates contain sensitive health information, their (online) presentation to non-health related entities also poses clear privacy risk. To address both challenges, the EU proposed a specification for outsourcing the verification process to a validator service, that executes the process and informs service providers of the result. The WHO announced to adapt this approach for general vaccination credentials beyond Covid-19. While being beneficial to improve security and privacy for service providers, their solution requires strong trust assumption for the (central) validation service that learns all health-related details of the users. In our work, we propose and formally model a privacy-preserving variant of such an outsourced validation service. Therein the validator learns the attributes it is supposed to verify, but not the users identity. Still, the validator’s assertion is blindly bound to the user’s identity to ensure the desired user-binding. We analyze the EU specification in our model and show that it only meets a subset of those goals. Our analysis further shows that the EU protocol is unnecessarily complex and can be significantly simplified while maintaining the same (weak) level of security. Finally, we propose a new construction for privacy-preserving certificate validation that provably satisfies all desired goals.
Abnormal Detection of Industrial Control System Based on LSTM and GSK Algorithm Customized by Taguchi Method

Industrial control systems are at the core of critical national infrastructures such as petroleum, chemical, natural gas, power and metallurgy. However, with the integration of industrial control systems with the Internet, the Internet of Things and other network fields, industrial control systems have been penetrated by various security threats. At present, the existing anomaly detection methods have many limitations and cannot effectively identify various attacks. Therefore, in this paper, we propose an effective anomaly detection model for industrial control systems that combines Gaining-sharing knowledge based algorithm (GSK) and the LSTM network. Specifically, we first use the GSK algorithm for feature selection to eliminate redundant features, improve algorithm accuracy and reduce running time, and then use an LSTM classifier to classify different categories of attacks. Secondly, we used Taguchi method to customize the optimal solution for the GSK algorithm applied to the feature selection problem, which improves the efficiency and robustness of the algorithm. Furthermore, we experimentally validate the model using a real gas pipeline dataset. The experimental results show that the proposed TBGSK-LSTM model outperforms other traditional methods in terms of accuracy, precision, recall, F-score, average fitness function value and average number of selected features.
Automatically determine an optimal smoothing level in fMRI data analysis.

To improve the accuracy of subject-level activation detections in noisy fMRI data, models to optimize voxel-wise smoothness levels for both isotropic Gaussian filter and spatially adaptive steerable filters are proposed. The smoothing step with currently optimized FWHM is incorporated into the optimization algorithm and solved efficiently using a sequential quadratic programming solver. Results from both simulated data and real episodic memory data indicate that a higher detection sensitivity for a fixed specificity can be achieved with the proposed method as compared to the widely used univariate general linear models with various levels of smoothness.
Non-local low rank denoising method for complex-valued DWI

Diffusion-weighted MRI (DWI) suffers from the intrinsic low SNR, especially for high-resolution and/or high b-value acquisitions. Thus, denoising methods are critical for diffusion images. Recently, increasing attention has been paid to complex DWI image denoising. Here, we propose a 2-step non-local low-rank joint denoising method to process complex-valued DWI images. Simulation data and in-vivo brain data were used to test the proposed method. The results showed that the proposed method may further improve the image quality.
Rancang Bangun Sistem Informasi Akademik Berbasis Website Dengan Metode SDLC

In the conditions of today's globalization, information technology is developing rapidly. School really need an academic information system that supports and makes it easy for staff and parents of student.This research is motivated by a lack of information about children’s learning development. And because parents of schoolchildren lack information about their children's learning, the result is that parents do not know the development of their child’s school learning. The purpose of this research is of course to provide benefits for staff, teacher and parents to make it easier to get information or the results of school development from students. The method that the author uses in developing this software is the SDLC (Software Development Life Cycle) waterfall model. Therefore, researchers try to help with problems that exist in schools such as the lack of updating of data or information contained in schools. By creating a computerized system, it is hoped that it can work to help teacher provide information to parents of students. A web-based system that contains student attendance list, student daily activity plans, and report cards which are the end result of student development at school.The author tested this academic information system by using a regression test. The test results show that this system meets the test success criteria, such as acccuracy and speed in processing data. A website-based academic information system using the SDLC method can help users manage academic data easily, quicly and accurately. The SDLC method used can help develop a good and correct system, and according to user needs.
Critical Discourse Analysis of English in New Media

Social media's impact on the English language has significantly changed how language is viewed and used as modern online communication emerges. The English language setting has seen various shifts as a result of internet accessibility. Through the use of critical discourse analysis, this study investigated the impact of social media on a group of first-year college students at Batangas State University-The National Engineering University's English language competency. It investigated a sample of respondents' social media preferences, usage patterns, and purposes. The results show that social media platforms like Facebook, Twitter, and Instagram are mostly used for communication by 18 to 19-year-old females, and their utilization is conceived to have an impact on English language proficiency. Meanwhile, the morphosyntactic and code-mixing features of English in online discourses are made explicit by the thematic analysis of the respondents' collected online postings and messages, highlighting the developments and processes. The study's overall finding was that the internet has established a significant impact on language by fostering creativity, hybridization, and adaptability to new communicative environments.
Teaching Strategies to Promote English Expository Writing Development through Step-by-Step Writing and Teacher Feedback

Purpose: The purpose of this study was to investigate effective teaching strategies that can facilitatethe development of English expository writing using information books for sixth-grade learners studyingEnglish as a Foreign Language (EFL).&#x0D; Methods: Learners' English writing experiences were investigated through a preliminary survey, andtheir pre-English expository writing development levels were evaluated through a pre-writing test. Afterconducting 28 experimental lessons, the patterns of the changed expository writing of the leaners wereexamined through a post-writing test. The experimental lessons involved reading comprehensionactivities, initial writing, modified writing 1, and modified writing 2, utilizing a total of four informationbooks. Step-by-step writing practice was implemented when progressing from initial writing to modifiedwriting 1, and teacher feedback was provided when progressing from modified writing 1 to modifiedwriting 2. A follow-up survey was conducted after completing all experimental lessons.&#x0D; Results: First, this study revealed that Step-by-step writing and teacher feedback can promote learners'sentence concept formation. Second, Step-by-step writing and teacher feedback increased learners'accuracy, logic, and fluency in English expository writing. Among the Step-by-step writing activities,the utilization of a paragraph organizer and selective writing exercises had the most positive effect. Third, expository writing based on information books facilitated the acquisition of an informationdelivery writing style.&#x0D; Conclusion: This study found that learners could lay the foundation for thought based truecommunication and that it is possible to present a new development path. Also, unlike diary andjournal writing research, the information delivery style can develop objective communication skills.
Analysis of Writing Characteristics in Young Children's Writing Activities

Purpose: This study aims to understand the characteristics of general writing found by observingand analyzing the processes and results of young children's participation in writing activities. Theeducational value of writing derived from this can be applied to everyday situations, including youngchildren's play and daily life, and is expected to be the basic data for field teachers to establisheducational plans.&#x0D; Methods: In this study, seven homeroom teachers working at public kindergartens located in S Cityand a total of 90 young children aged three, four, and five in each class participated. From December1 to December 23, 2022, teachers in each class provided one pre-selected common writing activityand one free writing activity, and then observed and recorded the writing process and results of youngchildren. The data collected in this study were young children observation records, writing results,interview data with teachers. And a circular and iterative data analysis was conducted through thetriangular verification method.&#x0D; Results: As a result of analyzing the writing activity process and results of young children, a totalof four writing characteristics were derived. The first was ‘totality’ containing characteristics otherthan the young children's writing skills, the second was ‘performance’ in which young childrendemonstrate other abilities for writing, the third was ‘contextuality’ in which they practiced writingin the background, and the fourth was ‘learning possibility’ that can be used 'well' in the processof learning and mastering educational areas.&#x0D; Conclusion: Based on the four writing characteristics derived through the analysis of writing processesand results, this study sought ways to educate and guide field teachers. In addition, by proposingthe concept of 'writing competency' based on the context consistent with the concept and characteristicsof competency, it suggests that it is necessary to look at young children’s writing from a morecomprehensive and multifaceted aspect.
Correlation of Self-Regulation on Enhancing Adolescent Self-Reliance in Preventing Drug Abuse in Medan City

Referring to the World Drugs Report 2020, there has been an increase in global drug use and illicit substance abuse. In 2018, approximately 269 million people worldwide were using drugs. This study aims to examine the influence of self-regulation on the resilience of teenagers in preventing drug abuse. This is a quantitative analytical study with a cross-sectional design. The study population consists of 17,906 students from public vocational schools in Medan City, with a sample of 200 individuals selected through random cluster sampling. The instruments used were questionnaires, and data analysis was conducted using univariate, bivariate, and multivariate analyses with simple regression tests. The data processing results from the 200 student respondents revealed that 49.5% were male and 50.5% were female. Among them, 56.5% had low levels of self-regulation, while 43.0% exhibited sufficient resilience. Bivariate analysis using the Chi-Square test yielded a r-value of 0.0001 (r &lt; 0.05), indicating a significant relationship between self-regulation and teenage resilience in Medan City regarding drug abuse prevention. Referring to the findings of this study can be generally understood that self-regulation influences adolescent resilience in preventing drug abuse
Design of “Chicken Move Tracking” Integrated System as an Innovation to Support a Sustainable Economy in Pitiek Racing Sidomulyo Distribution

Pitiek Balap Sidomulyo is a business engaged in the distribution of chickens. The scope of this business market is in the form of restaurants, markets, hotels, and chicken slaughterhouses in Yogyakarta and Jakarta. Based on the observed data, problems were found, namely in the shipping and distribution management sections that were not optimal. The purpose of this study is to analyze and design an information system to support a sustainable economy in the distribution of chicken from distributors to consumers. The methods used are observation, interviews and literature studies which are then made into an information system design using the Business Process Model and Notation (BPMN), and the Unified Modeling Language (UML). The design of this information system is expected to be able to increase the effectiveness of the Supply Chain Management of chicken distribution in the Pitiek Balap Sidomulyo business
The Effect of Smart Pinwheel Games on the Ability to the Effect of the Singing Method on the Ability to Recognize Letters in Group B Kindergarten Pelangi Medan Tembung District

The purpose of this study was to determine the results of the ability to recognize letters through the singing method in group B Pelangi Kindergarten children, Medan Tembung District. To find out the effect of singing methods on the ability to recognize letters in group B TK Pelangi. The research method used is quasi-experimental. The sample of this study were 20 children taken from 2 classes with a total of 43 children. Instrument testing was carried out with a test in the form of a statement of 15 statements. The data analysis technique used is a non-parametric analysis technique with the Wilcoxon test. The results of this study were that the average value given the treatment of the ability to recognize children's letters was 13.5 in the very good category, while not being treated with the ability to recognize children's letters was 11.3 in the good category. From the score data shows that learning activities using the singing method can improve the ability to recognize letters in group B TK Pelangi Medan
SOSIALISASI MENINGKATKAN BELAJAR BAHASA INGGRIS BERBASIS ENGLISH FOR SPECIFIC PURPOSES (ESP) DI MADRASAH MTs JANWARY NW BOROK LOTIM

The aim of this Community Service (PKM) is to add insight and new experiences for teachers, especially for English teachers in MTs. Janwary NW Borok, East Lombok. The stages carried out in this PKM are: Managing all the completeness of the PKM, Identification of problems, Providing Assistance and Guidance, Monitoring and Evaluation of Implementation. The Community Service Program conducted by MTs. Janwary NW Borok Lombok Timur NTB obtained very satisfactory results as monitoring and evaluation had been carried out several times according to the set time. With the socialization and coaching through this PKM, students feel more confident in pronouncing English even though there are still many vocabulary words that have not been mastered, but students feel motivated and excited to develop their English skills.
Syntactic Errors: An Analysis of Instagram Posts of Pakistani Female Celebrities

Error analysis is a very different process for humans who are not only sapiens and Loquens but also homo errands. The study analyses the errors in the post of female celebrities on Instagram. This study aimed to identify syntactical errors and identify the causes of these syntactical errors committed by Pakistani female celebrities in their Instagram posts. The methods and model used in this research are mixed methods and Coder’s model (1970). The mixed method includes both qualitative and quantitative methods. Data was collected in the form of Instagram posts. The technique of sampling used in this research is purposive random sampling. Ten posts were selected through purposive random sampling. The results of this study reveal the most common syntactic errors made by Pakistani celebrities. This research depicted that the most regularly detected errors are punctuation errors. Although both interlanguage and intralanguage influences were found to be causing syntactical errors, intralanguage errors were more prevalent compared to interlanguage errors in their writing. The detection of errors in Pakistanis female celebrities' Instagram posts will facilitate them to improve their basic writing skills. This study will be a fruitful gateway for opening the doors for future researchers who want to contribute to the Error analysis’s field.