Reviewerly/exHarmony huggingface dataset:
Developing adobe animate-based interactive learning media of table manner for university students

Culinary students faced difficulties in implementing proper table manner at hotel due to their lack of knowledge of how actual implementation of table manner should be. The purpose of this study was to develop Adobe Animate-based interactive learning media about table manner. This study employed Research and Development by Thiagarajan (1974). The data were collected through interview and questionnaire (need analysis and feasibility measurement). The subjects were students and lecturers of Culinary Study Program. The data were analyzed by using descriptive analysis. Adobe Animate-based interactive learning media about table manner was needed by students and lecturers according to their needs. The developed media consists of front display (university logo, material topic, and four buttons linked to the next page), materials, videos, and quiz. The feasibility test result of the developed media according to the material experts, media expert and students was respectively 4.45 (very feasible), 4.4 (very feasible), and 4.44 (very high acceptability). The developed media namely Adobe Animate-based interactive learning media about table manner is very feasible to be used as a learning media.
Incorporating Information Technology into College English Teaching: A Case Study of English Teaching of Featured Chinese Culture

With computer networks and mobile terminals as the main connection links, information technology has been increasingly incorporated into college English teaching to optimize teaching contents, teaching resources, teaching elements and teaching components into a complete whole and construct an informationized teaching environment so as to improve teaching efficiency.In the context of informationized education, college English teaching and researching need to keep pace with the education development by actively applying information technology into its teaching practices.Based on this cognition, English Teaching of Featured Chinese Culture managed to take full advantage of its blended massive online open course (MOOC), network-based teaching platforms, and intelligent teaching systems to incorporate relevant information technology elements into its teaching process by constructing informationized learning environments to motivate students' learning interests and desires, renovating ubiquitous learning approaches to optimize students' learning methods and progress, and implementing multimedia product + assessments to upgrade students' learning processes and outcomes.Incorporating information technology into the teaching process of English Teaching of Featured Chinese Culture was expected to meet students' increasing needs for computer network and mobile terminal-based ubiquitous learning and improve teaching efficiency, hopefully providing feasible references and enlightenments for other college English courses to renovate their information technology-supported teaching endeavors.
Challenges and Findings in Creating Smart Assistants for Mixed Reality Training Apps

Mixed Reality (MR) headsets such as Microsoft’s HoloLens have not only revolutionized the immersive experience for entertainment but also been adopted by various industries to improve work procedures. One of the particularly popular types of MR apps among industries is the training app. In this pilot study, we created and tested a prototype to expand such MR training apps from simply being a hologram manual to an assistant that recognizes if the user provides the task correctly. We first obtained feedback from participants in a user study regarding the design, usability, and experience of the app. We then fed the videos recorded in the user study to train an object recognition model via transfer learning. In addition to participants’ positive feedback on the design and promising results on object recognition, we also identified unexpected but important issues for MR app design and programming, including trade-offs between the user’s workflow and the accuracy of the smart assistant.
MSF-Net: Multi-Scale Feedback Reconstruction for Guided Depth Map Super-Resolution

Guided depth map super-resolution (GDSR) is one of the mainstream methods in depth map super-resolution, as high-resolution color images can guide the reconstruction of the depth maps and are often easy to obtain. However, how to make full use of extracted guidance information of the color image to improve the depth map reconstruction remains a challenging problem. In this paper, we first design a multi-scale feedback module (MF) that extracts multi-scale features and alleviates the information loss in network propagation. We further propose a novel multi-scale feedback network (MSF-Net) for guided depth map super-resolution, which can better extract and refine the features by sequentially joining MF blocks. Specifically, our MF block uses parallel sampling layers and feedback links between multiple time steps to better learn information at different scales. Moreover, an inter-scale attention module (IA) is proposed to adaptively select and fuse important features at different scales. Meanwhile, depth features and corresponding color features are interacted using cross-domain attention conciliation module (CAC) after each MF block. We evaluate the performance of our proposed method on both synthetic and real captured datasets. Extensive experimental results validate that the proposed method achieves state-of-the-art performance in both objective and subjective quality.
Quantifying Cooperation Between Rule-Based Hanabi Agents Using Information Theory

With increasing abilities of artificial systems and agents, it has been proposed to design those systems to behave cooperatively towards human users. However, it is often unclear how to evaluate whether a cooperation in human-machine interaction takes place or how to even quantitatively describe such a cooperation. We have previously proposed a framework to quantify the degree of cooperation in an interaction between two agents, using novel measures from information theory. We here extend the initial evaluation of this framework by applying the proposed measure to rule-based artificial agents playing Hanabi. We show that the measure correlates with the number of points scored by the agents and that the framework allows to describe uni-directional interactions between stronger and weaker players. The proposed framework may be used to evaluate and guide HMI design towards more cooperative interactions, which is believed to lead to a more pleasant user experience.
CollEagle; Tangible Human-AI Interaction for Collocated Collaboration

The way we collaborate and work together is subject to constant change. While AI-enabled tools are emerging rapidly and impacting how we work individually, most are not designed to support collocated collaboration. This demonstrator showcases CollEagle: an interactive interface that leverages NLP to enable tangible human-AI interaction. As the access point for AI-enabled technologies is signposted by lexical input, the CollEagle system provides an example of how we might design tangible human-AI interactions and support the collaborative use of AI in collocated environments.
Achieving Seamless Migration to Private-Cloud Infrastructure for Multi-Campus Universities

Maintaining IT infrastructure is a major challenge for multi-campus universities. The difficulties they face include inflexibility, inefficiency, outdated technology, and redundant resources, all of which negatively impact the quality of services provided to students, faculty, and researchers. Consequently, there is a growing need for a more agile, efficient, and cost-effective solution that can cater to the everchanging IT service demands of these institutions. Universities can boost their agility, scalability, and cost-effectiveness while enhancing service quality by utilizing cloud services. Cloud computing enables universities to quickly and easily access computing resources that can be scaled up or down as per their IT requirements, providing them with the necessary flexibility to meet dynamic demands. Private cloud migration further offers universities complete control over their internal security and SLA obligations, allowing them to guarantee a high level of service delivery. This paper contends that private cloud migration is an effective solution that can help multi-campus universities surmount their IT infrastructure challenges and enhance their IT service delivery capabilities. This paper presents a case study analysis of the University of the Aegean's migration to a private cloud and offers insights into the factors that influence successful private cloud migration in multi-campus universities. The paper argues that private cloud migration and cloud computing are effective solutions for resolving IT infrastructure issues and improving service delivery in higher education institutions. The paper provides recommendations for universities considering private cloud migration, offering a roadmap for successful migration. Additionally, the study identifies critical success factors that can help universities achieve a successful migration. In future work, this study could be expanded to include more universities and explore the challenges and benefits of private cloud migration in a broader context. Furthermore, it would be interesting to investigate the impact of private cloud migration on student outcomes, faculty satisfaction, and institutional performance.
Quizizz Based Application in Teaching Reading in an Indonesian EFL Junior High School Context

This study employs a case study design with a qualitative descriptive approach that aimed to shed light on; (1) the teachers’ perception on Quizizz in teaching reading, (2) the implementation of Quizizz in teaching reading and, (3) the impacts of Quizizz on students’ reading comprehension. The participants of this research were three teachers selected through purposive sampling. The instruments used were observation, interview and teachers’ documents. The findings of this research revealed that; (1) stemming on teachers’ interview, teachers’ perception on Quizizz in teaching reading was classified into two categories namely highly and moderately perceived on Quizizz in teaching reading. Furthermore, (2) the implementation of Quizizz in teaching reading was classified into two categories namely moderately implemented and lowly implemented in utilizing Quizizz in teaching reading. Finally, (3) the findings had shown that Quizizz had positive impacts on students’ reading comprehension in literal level, inferential level, critical level and creative level. The findings of this study underline the potential of digital applications like Quizizz in revolutionizing the pedagogical approach in Indonesian EFL classrooms, particularly in the teaching of reading skills.
Examination of technologies that can be used for the development of an identity verification application

Artificial intelligence is becoming increasingly significant in online education, image processing, identity verification, and document integrity checking. We designed an approach for identifying the optimal method and tools for speeding and improving AI-assisted image processing. This paper compares appropriate, practical concepts to help you choose. Our article studies various AI modelsto recognise data by processing various photos, enhancing accuracy, minimising administrative time, and decreasing the likelihood of misreading and mistyping. In our paper, we presented character recognition and face identification based on deep learning through processing a personal identification document. We divided the process into parts, taught different artificial intelligence models, produced the data necessary for teaching, and then integrated it into our developed environment. The completed software, which canbe adapted to any system in the form of an application, uses the image on the ID card and the device's camera to determine whether the application is being used by the person authorised to administer it and can optionally match the signature on the ID card with a digital sample requested by the application from its user.
IMPLEMENTASI PERATURAN BUPATI BLORA NOMOR 45 TAHUN 2016 TENTANG KODE ETIK PEGAWAI NEGERI SIPIL DI SMP NEGERI 1 DOPLANG BLORA TAHUN 2021

SMP Negeri 1 Doplang, Blora a school with various kinds of characteristics of teachers and employees in it. The research is done by using the methods of research descriptive qualitative, with technique collection of data that is observation, interview and documentation. The data obtained were then analyzed into a conclusion from the research process using the theory of Public Policy Implementation according to George C. Edwards III. From research obtained the results that indicators of communication has been implemented with effective. Indicators of resource human, there are less effective due to the limited ability of the competence and the factors of age, while the budget that is available on the agency that is already sufficient, disposition policies has been run by both implementing the policy already implementing the commitmen of each, as well as indicators of system bureaucracy implemented effectively.
An Analysis of Importance for the Prevention of Real Estate Brokerage Accidents

This study conducted AHP and Fuzzy-AHP analysis by comparing brokerage procedures and brokerage systems to prevent real estate brokerage accidents. The AHP analysis results and the Fuzzy-AHP analysis results show similar level of importance when comparing priorities. The results of the Fuzzy-AHP analysis show that the activation of exclusive brokerage shows the highest importance, in the order of mandatory preparation of general brokerage contracts, strengthening electronic contracts, the need for education of ordinary citizens, and strengthening education of licensed real estate agents. In order to prevent accidents in real estate brokerage, the parts related to the preparation in the brokerage procedure were confirmed to be of high importance. Exclusive brokerage services related to brokerage procedures, mandatory preparation of general brokerage contracts, and electronic contract preparation were identified as important factors in preventing real estate brokerage accidents.
The Use of Tutorial Video on YouTube as Alternative Media for Teaching Writing of Procedure Text

The objective of this research is to use tutorial videos to improve the students’ writing skills as ninth graders. In this study, students' understanding was focused on the content and organization forms. Pre-experimental is a research method with pre-test and post-test as research instruments. The population in this study were students in the ninth grade of SMP Muhammadiyah 10 Makassar. The researcher took one class, namely class IX, as a sample consisting of 18 students. The findings showed that the average results of pre-test and post-test scores increased students' average scores. The average pre-test score was 39 for content and 39 for organization. Following treatment, students' post-test average scores increased by 77 in terms of content and by 76,7 in terms of organization. Meanwhile, students' writing skills in the form of content improved by 97%. Then, 96.7% of students' writing skills improved in terms of organization. This is evidenced in the results of the significance test in finding writing skills focusing on the content with a t-test value of 16.81 &gt; 2.110 and organization with a t-test of 30.95 &gt; 2.110. It is used to determine the hypothesis that occurs in this study. The hypothesis (H0) which was declared insignificant was rejected and the hypothesis (H1) was accepted, because the results of the t-test value for both content (16.81) and organization (30.95) were greater than the t-table value (2.110).
The Implementation of Vocabulary Learning Strategies In Students Vocabulary Size

Using vocabulary size as a teaching strategy to help students improve their vocabulary is the primary goal of this study (in term noun and verb). At SMPN 1 Bide Satap, this study was carried out. In the following academic year, which will be 2021. Twenty-five second graders participated in this study. Purposive sampling was used to choose the sample. Class VIII has 25 pupils. There were a total of 25 students in the study. This study used a pre-experimental design with a single group pre-test and post-test. It was decided that Class VIII would be the experimental class for vocabulary size teaching. A vocabulary exam was utilized to get the data. The nouns t-test value is 4.869 and the verb t-test value is 4.47 with a frequency of db = 25-1 = 24 at a 50 percent significance level obtained t-table = 2,640, according to inferential statistical analysis using the t-test method. The null hypothesis (H0) is rejected, and the alternative hypothesis (H1) is accepted, if the t test is greater than the t table. In other words, the final post-test data reveals a significant improvement. We conclude that students who utilize vocabulary learning methodologies are able to increase their vocabulary size significantly
The Use of Time Token Method on Students Speaking Ability

The researcher conducted a pre-experimental research with one group Pre-Test, treatment and post-test design. The instrument of this research was speaking test or oral test.This research aimed to find out whether or not the use of the Time Token method effect the eleventh grade students’ speaking ability in terms of smoothness and pronounciation. The sample of this research was class XIIPA2 that consisted of 18 students of SMAN 5 Soppeng. The result showed that Time Token method was effective to effect students’ smoothness (78.33) and pronounciation (73.61) in speaking ability which was proved by the mean score of the Post-Test that was higher than the mean score of the Pre-Test smoothness (42.77) and pronunciation (48.88). Then, there was an effect as many as 83.14% (smoothness) and 50.59% (pronunciation) in describing some topics in three meeting (personal introduction, introduce their family, or explain their favorite place). It means that the student in the speaking class by using Time Token method could affect their speaking ability especially Fluency(smoothness) and pronounciation. However, this only method could not significantly affect the holistic speaking learning activities unless teachers’ use it in their teaching and learning procces.
Using Genre Based Approach To Enhance the Students Writing Skill at MAN 4 BOne

This study sought to ascertain whether using a genre-based approach while teaching tenth-grade MAN 4 BONE students to write improved their writing abilities in terms of organization and substance. Data were gathered by administering pre-tests, treatments, and post-tests as part of the researcher's pre-experimental approach with a one group pre-test post-test design. 33 students from the X class of MAN 4 BONE made up the research sample.95 pupils from MAN 4 BONE's first grade class made up the study's population. To choose the sample for the study, the cluster sampling technique was used. The method utilized to collect the data was writing ability.The study's findings demonstrate that the students' post-test mean score of 64.39 for content is greater than their pre-test mean score of 45.15. Students' average grade Pre-test scores of 41.61 and 71.36 demonstrate organization, while the hypothesis t-test scores for both content and organization were 2.88 and 3.31, respectively. It denotes Ha's acceptance. based on the discovery that the results of the pre- and post-test differ significantly. A genre-based approach is excellent for improving pupils' writing abilities in terms of structure and substance.
Improving the Vocabulary of the Students by Using Duolingo Application at the Second Grade of SMP Negeri 1 Kelara

This research aims to find out whether Duolingo Application can improve the vocabulary of the students especially in verb (transitive and intransitive verbs) in Second Grade of SMP Negeri 1 Kelara. The researcher applied Pre-Experimental Method by using one group pre-test and post-test design and collected data by giving pre-test and post-test. The sample for this research was Class VIII.3 of SMP Negeri 1 Kelara that consisted of 18 students. The sample was taken by using Purposive Sampling Technique and the data was analyzed by using IBM SPSS statistics version 26. Based on the research findings, the improvement of students' vocabulary by using the Duolingo Application in second grade of SMP Negeri 1 Kelara was good, because before using the Duolingo application the average score of students was 27.22, but after the students used the Duolingo application, the average score of students increased to 76.78. This significant improvement occurred because the Duolingo Application gave a good effect in teaching vocabulary. The Duolingo Application can make student learning more enjoyable because Duolingo can help students easily acquire new words with interesting picture features to understand the meaning of words. This makes students more active and enthusiastic in improving vocabulary. Therefore, based on these results, it is recommended to use the Duolingo Application in improving students' vocabulary especially in verbs.
Developing Students' Speaking Ability Through Infographics Media at MAN 4 Bone

The purpose of this study was to determine whether the use of Infographics with MAN 4 Bone students in the tenth grade improved students' speaking skills in terms of fluency, fluency, and vocabulary accuracy. Researchers used a pre-experimental design and quantitative methods using one group for pre and post-tests.In the academic year 2021–2022, 87 students of class X MAN 4 Bone are the population of this study. To select the research sample used cluster random sampling method. The speaking test was used as a data collection method.The results showed that Infographics Media succeeded in improving students' speaking ability. Children's eloquence supports it. The mean pre-test score was 4.82, while the post-test mean score was 7.58. The average pre-test for students' accuracy was 5.10, while the post-test average increased to 7.79. Both the accuracy and fluency value of the t-test were higher than the t-table value (17.82 &gt; 1.701) and the accuracy value of the t-test was higher than the t-table value (16.61 &gt; 1.701). As a result, the Null hypothesis was refuted and the Alternative Hypothesis was adopted. The study researchers came to the conclusion that Infographics media improves students' speaking ability.
A Review of Recent Machine Learning Approaches for Voice Authentication Systems

Voice authentication systems are a comfortable way of protection since users do not need to remember passwords or carry identification cards. As a unique identifier for all individuals, voice is a practical tool to authenticate people into security services, including online banking and phonebased customer or computer services. Single-model voice authentication systems refer to voice recognition systems that utilize a single voice model to verify the identity of individuals based on their unique vocal characteristics, such as pitch, tone, and other speech patterns. For multi-model voice authentication systems, additional biometric factors like facial recognition or electroencephalogram data are included in the voice authentication process to enhance security. This paper reviews recent single-modal and multimodal voice authentication studies with an explanation of underlying feature extraction and classification methods. This paper also discusses security attacks on voice authentication systems, including random attacks, mimicry attacks, replay attacks, voice synthesizing attacks, counterfeit attacks, and hidden voice command attacks.