Reviewerly/exHarmony huggingface dataset:
An exploratory study of the construct measured by automated writing scores across task types and test occasions

With the growing use of Automated Essay Scoring (AES) to score second language (L2) writing performance, questions are often raised concerning the interpretation of automated scores. Such questions are typically investigated by examining the association between automated scores and human holistic ratings at one point in time. However, this line of research cannot answer questions about whether and how this association varies across tasks and test occasions. This exploratory study addresses this gap by examining the association between automated writing scores and human multiple-trait ratings of essays written by 48 learners of English in response to TOEFL iBT independent and integrated writing tasks on two test occasions, before and after a period of English language study. Each essay (N= 192) was scored by e-rater and rated by a group of human raters on various writing features. The findings indicated that the associations between e-rater scores and human ratings of some writing features varied significantly across task types and tended to be stronger for essays written after, than for essays written before, English language study. We discuss the findings and their implications for future research on automated scoring in L2 writing assessment.
PENGARUH MOTIVASI DAN BIAYA PENDIDIKAN TERHADAP MINAT MAHASISWA MENGIKUTI PENDIDIKAN PROFESI AKUNTANSI ( PPAk )

The purpose of this study was to determine the effect of motivation and education costs on student interest in taking the Accounting Profession Education (PPAk) at Private Universities in the city of Palembang. In this study, the variables of career motivation (X1), economic motivation (X2), and education costs (X3) were used. Data was collected by distributing online questionnaires to 12 private universities in the city of Palembang. Samples were taken using the proportionate stratified random sampling method with the Arikunto formula. The number of samples used is 151 respondents. This study uses SPSS version 26 to manage the data. Based on the t test, the significance of career motivation is 0.003 &lt; 0.05, economic motivation is 0.003 &lt; 0.05, and education costs are 0.106 &lt; 0.05. The results of this study partially show that career motivation and economic motivation affect student interest in PPAk, while education costs have no effect on student interest in PPAk. Keywords: Career Motivation, Economic Motivation, Cost of Education, and Student Interest in Participating in Accounting Profession Education (PPAk).
A Bibliometric Analysis on Cloud Computing Literature Development

The purpose of this paper is to present a bibliometric analysis on cloud computing literature development since year 2008. A systematic search strategy was carried out through Scopus as the single electronic citation database in this bibliometric analysis. The findings reveal that the publication of cloud computing has been steadily maintained at the same rate for last few years except in 2020 which could be due to higher concentration on COVID related publications. Besides that, the cloud computing publications were reduced could be due to work from home situation which pull down the work efficiency and another possibility is cloud computing publications have started to decline and overtaken by other technologies due to the interest and demand from the academics and market, but this must be observed in next following 2 to 3 years to confirm on this. Precisely, the finding of this bibliometric analysis shows that countries with higher cloud computing literature publications tends to have higher cloud computing growth rate which implies that local government and related bodies are playing an important role to facilitate the technology awareness and transformation. This study contributes to cloud computing research by providing holistic insights of its literature development since 2018 by understanding its development, growth pattern, and contributions by the topmost affiliations/institutions, countries, authors, publishers in this area. In future, bibliometric analysis on cloud computing could be extended to other citation databases as this study is only referring to single citation database.
Two-Stage Pedestrian Detection Model Using a New Classification Head for Domain Generalization

Pedestrian detection based on deep learning methods have reached great success in the past few years with several possible real-world applications including autonomous driving, robotic navigation, and video surveillance. In this work, a new neural network two-stage pedestrian detector with a new custom classification head, adding the triplet loss function to the standard bounding box regression and classification losses, is presented. This aims to improve the domain generalization capabilities of existing pedestrian detectors, by explicitly maximizing inter-class distance and minimizing intra-class distance. Triplet loss is applied to the features generated by the region proposal network, aimed at clustering together pedestrian samples in the features space. We used Faster R-CNN and Cascade R-CNN with the HRNet backbone pre-trained on ImageNet, changing the standard classification head for Faster R-CNN, and changing one of the three heads for Cascade R-CNN. The best results were obtained using a progressive training pipeline, starting from a dataset that is further away from the target domain, and progressively fine-tuning on datasets closer to the target domain. We obtained state-of-the-art results, MR−2 of 9.9, 11.0, and 36.2 for the reasonable, small, and heavy subsets on the CityPersons benchmark with outstanding performance on the heavy subset, the most difficult one.
How Much Speech Data Is Needed for Tracking Language Change in Alzheimer’s Disease? A Comparison of Random Length, 5-Min, and 1-Min Spontaneous Speech Samples

Changes in speech can act as biomarkers of cognitive decline in Alzheimer's disease (AD). While shorter speech samples would promote data collection and analysis, the minimum length of informative speech samples remains debated. This study aims to provide insight into the effect of sample length in analyzing longitudinal recordings of spontaneous speech in AD by comparing the original random length, 5- and 1-minute-long samples. We hope to understand whether capping the audio improves the accuracy of the analysis, and whether an extra 4 min conveys necessary information.110 spontaneous speech samples were collected from decades of Youtube videos of 17 public figures, 9 of whom eventually developed AD. 456 language features were extracted and their text-length-sensitivity, comparability, and ability to capture change over time were analyzed across three different sample lengths.Capped audio files had advantages over the random length ones. While most extracted features were statistically comparable or highly correlated across the datasets, potential effects of sample length should be acknowledged for some features. The 5-min dataset presented the highest reliability in tracking the evolution of the disease, suggesting that the 4 extra minutes do convey informative data.Sample length seems to play an important role in extracting the language feature values from speech and tracking disease progress over time. We highlight the importance of further research into optimal sample length and standardization of methods when studying speech in AD.
Pelatihan Penguasaan Kosakata Bahasa Inggris Pada Anak Usia Dini Di PAUD Adian Jaya Karang Sari

Education for early childhood is one of the determinants in the management of education to get next level. This is the first step for the children to get an education before they continue to the Elementary school level. In this period, the children begin to receive education which was the beginning of the academic knowledge, such as reading, writing and arithmetic (CALISTUNG). English language is not mother tongue but English is the second language. English language is international language which used throughout the world. Through this community service activity, our team proposing chose one media of English vocabulary mastery namely by using flash card media. This media is very effective for the childhood because through by the picture they can easily to understand and memorize the vocabulary in English. Flash card is the media that very helpful in remembering and reviewing material such as foreign language, symbol, formulation and others. Through this activity, the students will be able to listen to what teacher say through the picture, write to what is the students hear and seen, and the students be able to memorize was has been written. Through this activity, it is hoped that students will be able to mention the things around them in English language.Keywords: Training, Vocabulary, Flash car
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. 1. Type of peer review: Single Anonymous 2. Conference submission management system: Morressier 3. Number of submissions received: 60 4. Number of submissions sent for review: 50 5. Number of submissions accepted: 40 (by Organizer/Editor) 22 (by IOP) 6. Acceptance Rate (Submissions Accepted / Submissions Received × 100): 66.7 %-55% 7. Average number of reviews per paper: 5-6 8. Total number of reviewers involved: 11 9. Contact person for queries: Name: Dr. Rikat Eka Prastyawan Affiliation: PPNS Email: rikateka@ppns.ac.id
Politeness Strategies Employed in Communication with Santri and Ustadz in an Islamic Boarding School in Indonesia

This study on politeness and morals is a learning strategy used in the interaction between santri and kyai/ustdaz in Pesantren Salaf Al-Qur'an Sholahul Huda Al-Mujahidin. This study examined the politeness strategies of both santri and kyai/ustadz in their daily interactions and the factors underlying their use of such systems. Further, a case study qualitative approach by doing observation and interview was employed as the study method. To figure out the phenomenon, Brown and Levinson's theory of politeness strategies was applied in analyzing the data: Bald on Record, positive politeness, negative politeness, and off Record. From the analysis, it was figured out that all types of politeness strategies were realized in kyai/ustadz utterances.&#x0D; In contrast, only three politeness strategies were performed by santri. It was identified that some social factors of power and social distance triggered the santri and kyai/ustadz to execute such plans. However, another influential factor that was found to encourage the participants to employ those strategies was Pesantren Sholahul Huda Al-Mujahidin's culture of akhlak encompasses several values based upon Islamic values declared in Al Quran and Al Hadith. Maintaining and nurturing this Akhlak and morality is believed to be the basis of the realization of peace.&#x0D;
Unravelling the Future of Recommender Systems Recent Advances and Emerging Possibilities

Recommender systems have become an integral part of our daily lives, providing personalized suggestions for a myriad of products, services, and information. This article offers an in-depth review of the latest developments in the field, highlighting critical directions and new possibilities for future research. We discuss advances in collaborative filtering, content-based methods, and hybrid approaches, alongside the incorporation of novel techniques such as deep learning and reinforcement learning. Moreover, we explore the challenges of incorporating context-awareness, addressing cold-start problems, and ensuring fairness, diversity, and privacy in recommendations. Ultimately, this article aims to provide a comprehensive understanding of the current landscape of recommender systems and to inspire future research endeavors
Opportunities, Dilemmas and Innovative Paths for Youth Sports Training in Chengdu under the "Double Reduction" and "Double Increase" Policies

This article uses research methods such as literature, expert interviews and field visits to study the development of youth sports training in Chengdu. This paper conducts research on how the two policies of "double reduction" and "double increase" change the operating environment of the youth sports training market in Chengdu, and how these changes affect the development prospects of the market. The study found that this policy has brought new development opportunities to the youth sports training market in Chengdu, but it also faces some challenges. To address these challenges, we have proposed a series of innovative paths, including measures such as improving government supervision mechanisms, optimizing market management, unifying coaching qualification certification standards and standardizing coaching promotion channels, and strengthening school-enterprise cooperation. We hope that through this research, we can provide valuable reference for relevant policymakers and training institutions, and provide predictions for future market development trends.
Research on the Transformation of Teacher Role and the Quality Assurance Strategy of Hybrid and Online Teaching

This study aims to explore the relationship between teacher role transformation and blended, online teaching quality assurance strategies. Firstly, the importance of teacher role transformation was introduced, including the conflict between traditional concepts and modern needs, as well as the significance and impact of the transformation. Then an overview of blended and online teaching was provided, providing a basis for subsequent discussions. Next, the application of teacher role transformation in blended and online teaching was explored, including the role of teachers in this teaching model, the responsibilities and abilities required by teachers, and the impact of transformation on teacher professional development. Subsequently, strategies for transforming the role of teachers and ensuring the quality of blended and online teaching were proposed, including changing the role from a lecturer to a guide, integrating online and offline teaching resources, providing effective online learning support and evaluation mechanisms, and optimizing learning outcomes and student satisfaction. This study aims to provide guidance and reference for the transformation of teacher roles and teaching quality.
Current Situation and Improvement of Secondary Vocational Students' Digital Literacy in China

The purpose of this study is to analyze the digital literacy of target students, explore the current situation of digital literacy of target students, and propose targeted improvement strategies. The subjects of this study were students from the secondary vocational college in China. The students were chosen at random. The research framework should be established on the basis of the research of scholars from different countries. Based on competency model theory and complexity theory, a questionnaire on digital literacy of secondary vocational students was compiled by using analytic hierarchy process and questionnaire survey. Combined with the digital performance evaluation of secondary vocational students, descriptive analysis, difference analysis and correlation analysis are carried out on the data collected by the questionnaire. Finally, according to the conclusions of the research, this paper puts forward recommendations on improving the digital literacy of secondary vocational students.
An Empirical Study on the Information Technology Teaching Model for Improving Athletes' English Speaking Ability: Taking Hainan Provincial Sports Academy as an Example

This paper attempts to study the application of information technology in oral English teaching in Hainan Provincial Sports Academy, that is, to form an information-based teaching model, expand teaching resources, enrich teaching content, and make oral English teaching more interesting by applying information technology and platforms such as applied learning guide, interactive superstar platform, micro-class video, audio, PPT, and dubbing software before, during and after class. Also, this paper wants to explore the improvement of athletes students' interest, initiative and confidence in oral English learning by applying the information technology and the improvement of their English learning autonomy. This paper is based on constructivism learning theory, input hypothesis theory and output hypothesis theory. On the basis of the theory, this paper focus on the following aspects: the application of information technology affects the athlete students in English learning, especially their learning autonomy, learning interest and learning confidence; the application of information technology affects the oral English level of these students in Hainan Provincial Sports Academy. This empirical study takes athlete students in author's school as the experimental objects. Among them, information technology is used in oral English teaching at the beginning of the term. This study lasted for 16 weeks, and the data were obtained through pre-test, post-test and questionnaire and the statistical software Excel 2007 and SPSS Statistics 23 were used to analyse the data and draw a conclusion. At the same time, all athlete students were interviewed after the experiment. It was found that the application of information technology in oral English teaching effectively improves students' learning autonomy and their interest in English learning, after the application of information technology, the English oral level of these athletes was significantly improved. The experimental subjects of this study were 148 people, which may be insufficient in sample size and the experiment lasted for 16 weeks, the experiment time was not enough. Therefore, these may have an impact on the universality, representativeness and accuracy of the results of this study.
Video Structure Analysis: A survey

Due to the great and rapid development in the electronic field, the spread of the Internet, and the diversity of social media, the spread and transmission of data have become an important matter in different areas of life. The video is one of the most important of this information, which includes a lot of information that requires storing and retrieving a large database. Therefore, video structure analysis is the basis for facilitating the video search process based on its contents, indexing, and retrieval. In this research, we will present a survey of the video structure analysis process, the basic concepts and all related processing steps, the procedures used in each method, and the most prominent works used in each step.
RANCANGAN PENGEMBANGAN LAYANAN PADA APLIKASI SIMENDAH

The accumulation of waste is one of the problems in Mendalo Indah Village due to the unstructured pattern of waste disposal. To overcome this, the author made a research that would later give birth to an innovative garbage ojek service, become one way to reduce piles of garbage, and keep the environment cleaner and healthier. When conducting research, the author uses a qualitative method that collects data through interviews, research, and observation based on field events. The analysis method in this research uses the Unified Modeling Language (UML) method which consists of Use Case Diagram, Activity Diagram and Class Diagram. The design design is only limited to prototypes. The results of this study produced a garbage ojek service feature in the SiMendah application. With this garbage ojek service feature, it will make it easier for people to dispose of garbage by simply ordering a garbage ojek through the SiMendah application, the ojek driver will pick up and dispose of the garbage where it should be. When this service is run, it is expected to help overcome the pile of garbage
ANALISIS DAN PERANCANGAN SISTEM E-PROCUREMENT PADA SMK – PP NEGERI JAMBI

Currently, there are still quite a number of organizations who consider that remuneration is a cost component that needs to be minimized and a means that can increase unproductive behavior, which can lead to personal problems. To be able to prevent the emergence of problems and the increase in remuneration expenditure of an organization, it is necessary to have a remuneration system that is fair, appropriate, and cost effective. In the process of calculating the Additional Employee Income (TPP) carried out by SMK PP Negeri Jambi, Batanghari Regency, it is still manually with calculations based on absenteeism, performance, and employee discipline, after all data is obtained then input into Microsoft Excel. The purpose of this study is to simplify calculations, minimize time in the process of inputting and calculating, the process of delivering TPP information quickly and accurately. Where the modeling of this system uses a flow diagram of Data Flow Diagrams (DFD), Entity Relationship Diagrams (ERD), and this system design uses web / internet media and produces a web-based information system for additional employee income payments (TPP) at SMP Negeri Jambi Regency. Batanghari.
Distributed Training of Deep Neural Networks: Convergence and Case Study

Deep neural network training on a single machine has become increasingly difficult due to a lack of computational power. Fortunately, distributed training of neural networks can be performed with model and data parallelism and sub-network training. This paper introduces a mathematical framework to study the convergence of distributed asynchronous training of deep neural networks with a focus on sub-network training. This article also studies the convergence conditions in synchronous and asynchronous modes. An asynchronous and lock-free training version of the sub-network training is proposed to validate the theoretical study. Experiments were conducted on two well-known public datasets, namely Google Speech and MaFaulDa, using the Jean Zay supercomputer of GENCI. The results indicate that the proposed asynchronous sub-network training approach, with 64 GPUs, achieves faster convergence time and better generalization than the synchronous approach.
Three-Dimensional Rotation Knowledge Representation Learning Based on Graph Context

The goal of knowledge graph representation learning is to map entities and relations into low-dimensional continuous vector Spaces in order to learn their semantic information representation. However, most existing models often struggle to model the basic features of knowledge graphs effectively, such as symmetric/antisymmetric, inverse, and combinatorial relational patterns. In addition, many models ignored the information about the neighborhood of entities in the triples in the graph. In order to solve these problems, this paper proposes a learning model of three-dimensional rotating knowledge graph representation based on graph context. The model first uses the quaternion mathematical framework to represent the entity as a set of vectors in three-dimensional space, and interprets the relationship as a three-dimensional rotation transformation between the entities. Then, by calculating the semantic similarity between entities and relations, the graph context information is fused into the vector representation. Experiments on public data sets FB15K-237 and WN18RR demonstrate the effectiveness of the proposed model. The experimental results show that the model can capture the relational pattern of knowledge graph better and make full use of the neighborhood information of entities in the graph.