Reviewerly/exHarmony huggingface dataset:
A Test Management System to Support Remote Usability Assessment of Web Applications

Nowadays, web designers are forced to have an even deeper perception of how users approach their products in terms of user experience and usability. Remote Usability Testing (RUT) is the most appropriate tool to assess the usability of web platforms by measuring the level of user attention, satisfaction, and productivity. RUT does not require the physical presence of users and evaluators, but for this very reason makes data collection more difficult. To simplify data collection and analysis and help RUT moderators collect and analyze user’s data in a non-intrusive manner, this research work proposes a low-cost comprehensive framework based on Deep Learning algorithms. The proposed framework, called Miora, employs facial expression recognition, gaze recognition, and analytics algorithms to capture data about other information of interest for in-depth usability analysis, such as interactions with the analyzed software. It uses a comprehensive evaluation methodology to elicit information about usability metrics and presents the results in a series of graphs and statistics so that the moderator can intuitively analyze the different trends related to the KPI used as usability indicators. To demonstrate how the proposed framework could facilitate the collection of large amounts of data and enable moderators to conduct both remote formative and summative tests in a more efficient way than traditional lab-based usability testing, two case studies have been presented: the analysis of an online shop and of a management platform. Obtained results suggest that this framework can be employed in remote usability testing to conduct both formative and summative tests.
Direct Observation of Dynamically Localized Quantum Optical States

Quantum-correlated biphoton states play an important role in quantum communication and processing, especially considering the recent advances in integrated photonics. However, it remains a challenge to flexibly transport quantum states on a chip, when dealing with large-scale sophisticated photonic designs. The equivalence between certain aspects of quantum optics and solid-state physics makes it possible to utilize a range of powerful approaches in photonics, including topologically protected boundary states, graphene edge states, and dynamic localization. Optical dynamic localization allows efficient protection of classical signals in photonic systems by implementing an analogue of an external alternating electric field. Here, we report on the observation of dynamic localization for quantum-correlated biphotons, including both the generation and the propagation aspects. As a platform, we use sinusoidal waveguide arrays with cubic nonlinearity. We record biphoton coincidence count rates as evidence of robust generation of biphotons and demonstrate the dynamic localization features in both spatial and temporal space by analyzing the quantum correlation of biphotons at the output of the waveguide array. Experimental results demonstrate that various dynamic modulation parameters are effective in protecting quantum states without introducing complex topologies. Our Letter opens new avenues for studying complex physical processes using photonic chips and provides an alternative mechanism of protecting communication channels and nonclassical quantum sources in large-scale integrated quantum optics.
Cloud native technology development trend analysis research

With the rapid development of virtualization, cloud computing and other technologies, and their gradual application in various industries, how to use the cloud computing infrastructure well and make the cloud computing play the maximum capacity is an important issue in cloud computing technology. In this context, the concept of "cloud-native" was born. With the development of cloud-native technology, its related research has gradually become a field of concern and research for scholars, but there is still a lack of research on the development trend of cloud-native technology. Therefore, in this paper, 904 high-quality papers were downloaded from web of science and correlation analysis was conducted by Citespace and VOSviewer with the help of bibliometric research methods, including literature quantity analysis, co-citation analysis, keyword co-occurrence analysis and research hotspot analysis.
Path planning of escort robot based on improved ant colony algorithm

With artificial intelligence and economic development entering the "fast lane" stage, the construction of tourist attractions is more intelligent and unmanned. Aiming at the problems of path planning of unescorted robots in tourist attractions, long calculation time of traditional ant colony algorithm and many turns, a path planning method for unescorted robots based on improved ant colony algorithm is proposed. Firstly, the driving rules of the escort robot in the scenic area are proposed, and the ant colony algorithm is applied to the path planning problem of the unmanned escort robot. Combined with the characteristics of the ant colony algorithm, the secondary planning of the first planned path and the method of the secondary planning are proposed. Perform secondary pheromone update on the shortest path to optimize the problem of unreasonable turning points in the traditional ant colony algorithm planning path; use the grid method to build a simulated environment model, and initialize the information of the improved ant colony algorithm according to the algorithm flow of the improved ant colony algorithm, set the start and end points of the escort robot, send the ants to iterate and output the improved planning route, and conduct simulation experiments on Matlab. The simulation results show that compared with the traditional ant colony algorithm, the number of iterations of the improved algorithm planning is significantly reduced, and the path unreasonable turning points are less, which verifies the efficiency and superiority of the improved algorithm.
JOHN DEWEY'S THINKING CONSTRUCTION ON EXPERIENCE-BASED EDUCATION

This report analyzes John Dewey's work on experience-based education. It's been said that the finest teacher is experienced. It might not be excessive because everyone has experience that they can use to evaluate things. When considering experience-based learning, it is crucial to remember that as people get older, have more opportunities, and reach higher levels of maturity, their experiences also get bigger and bigger. Not just a slew of experiences for the sake of having a good time, but more experience is a fusion that enriches and nourishes. John Dewey places a great emphasis on the idea that all education is acquired via experience. These encounters may be private or communal. Every encounter creates something priceless in human life
IMPLEMENTASI KEBIJAKAN GERAKAN LITERASI DI SEKOLAH DASAR

The low interest in reading students in Indonesia is a concern for the government. The Ministry of Education and Culture continues to provide innovations to increase reading interest, especially for students. In the policy of the School Literacy Movement, Elementary School is one of the main implementing parts of the implementation as a provider of facilities, guidance, and infrastructure for students. Indeed, the School Literacy Movement in Elementary Schools has three stages or processes, namely (1) habituation; (2) Development; and (3) learning. Implementation carried out at each school will certainly experience different stages and programs implemented. Factors that influence this are the readiness of the school's physical capacity, the readiness of school residents, and the readiness of other support systems (Faizah et al., 2016). This research uses a qualitative approach with a literature study method. The activity in this research process is to collect research data that has been done regarding the implementation of the School Literacy Movement in Elementary Schools. The sources used for this research are the results of the analysis of books and journals related to the title of research on the School Literacy Movement. The data analysis technique used in this research is the reduction technique.
A Study on Status Information Extraction of Electrical Installations Tthrough Image Super-resolution based on ESRGAN

Electrical equipment performs external communication for monitoring. When a communication malfunction occurs, there is a need for a way to extract information from the electrical equipment. One approach is to capture the display of electrical equipment with an image using devices like CCTV and then extract the information from the image using optical character recognition. However, the images are low-resolution, so the optical character recognition does not work well on the image. This paper proposes a simple method to improve the performance of optical character recognition with a super-resolution model. The proposed method converts the low-resolution image to a high-resolution image through the super-resolution model trained with a proper electrical equipment image dataset. As a result, optical character recognition can extract information from high-resolution images. Experiments on a real-world electrical equipment image dataset show that the proposed method helps to extract information from electrical equipment images.
The Role Of Religious Morals On Students' Academic Cheating Behavior During Online Learning During The Covic-19 Period

Cheating behavior is a dishonest act carried out by someone in order to get a satisfactory end result. Academic cheating is still often done by students, to get high grades. The emergence of a feeling of worry or feeling threatened that is felt because of the inability or less than optimal of a student in completing his college assignments triggers students to commit academic fraud due to various demands from the environment that expect high results and grades. This study aims to determine the effect of academic integrity factors and religious moral factors on student academic cheating during online learning during the Covid-19 period at Prof. University. Dr. Moestopo (Religious) Academic Year 2021-2022 even.The sample method used is purposive sampling. The number of students who were sampled in this study were 350 students of Prof. University. Dr. Moestopo (Religious), Even Semester. The data used is primary data in the form of questionnaires distributed to respondents using google form facilities. This analysis method uses descriptive statistical tests, data quality tests, classical assumption tests, data analysis tests and model suitability tests using the SPSS program.The results showed that religious moral factors and academic integrity had a significant effect on students' academic cheating behavior. Partially, this study shows that religious moral factors have a negative and significant effect, while academic integrity factors have a positive and significant effect on academic cheating behavior in the online learning system.
A new e-Learning Resource to Support Music Education in Romanian Schools

The pandemic has demonstrated the need for e-learning tools to support Romanian music education. The lack of digital resources in the national language adapted to the Romanian music curriculum made it difficult for students to learn using foreign applications with a different music notation system from Romania’s during the online teaching period. In response to this, we created a software tool that supports musical instruction in line with the outcomes expected by the country's school music curricula. This study investigated the effect of the new software on improving learning outcomes and student motivation. The participants were three experimental groups from eight schools. Group A (n = 60 pupils) were required to use the software for six weeks, at least 15 minutes per day, five days a week. This was carried out under teacher supervision in classrooms and under teacher guidance at home. Group B (n = 61 pupils) were asked to use the software once a week for six weeks in their music lessons. Group C (n=10 teachers) lead the application's testing process. Each child was allocated a unique code (to ensure each pupil's anonymity), which enabled the researcher to observe their activity. The average total use per child in Group A was 48 sessions, and for Group B, it was 12 sessions. The results for Group A showed pupils had notably enhanced their learning outcomes. Of the (n=60) pupils, 96% reported feeling 'highly motivated' by the software. The tool's facility for personalised, needs-focused exercises with immediate feedback was identified as particularly helpful. Group B, who used the software occasionally, made slower progress, but 93% reported that the addition of the software was preferable to traditional classroom music education conducted without such individual-focused technology. Out of (n=121) pupils, 94% reported the software was easy to learn and use. Each of the ten teachers who led the testing process reported increased accuracy of the elements practised with the software after six weeks of usage and decided to continue using it. More exercise resources are currently being developed for the software. Now also in English, it is easily translatable into other languages.
Optimal Quality-Aware Predictor-Based Adaptation of Multimedia Messages

The Multimedia Messaging Service (MMS) platform allows messages composed of various multimedia attachments to be exchanged between users of mobile devices. However, these heterogeneous devices exhibit different capabilities regarding what media types, resolution, and maximal message size they support making the adaptation of messages mandatory to ensure compatibility between sending and receiving devices. The challenge is therefore to adapt messages so that they satisfy the receiving device’s constraints in a way that both maximizes the user experience and minimizes the computational cost of adaptation. Minimizing computational cost will help cope with high-volume traffic while maximizing user experience, as estimated by the perceived quality of adapted messages, will secure the service provider’s user base. In this work, we propose a generic adaptation scheme based on predictors for file size and image quality resulting from transcoding parameters applied to a given image that will explicitly maximize perceived quality as estimated by the structural similarity image quality index. We will further show that our proposed method is resilient to the imprecision of the predictors and that it yields significantly better quality at a greatly reduced computational cost compared to other methods proposed in prior art.
Special Area Detection and Recognition on Agricultural Fields Images

Problems of practical using of aerial photograph processing methods based on textural and fractal characteristics of images are considered in this chapter (on an example of agricultural field images). ASM, Contrast and Entropy are used as textural characteristics. Calculation of fractal signature is based on fractal dimension. The results of joint segmentation based on proposed methods are tested at processing potato field aerial photographs. Furthermore, computational speedup problem using MPI are considered.
Database Security Fundamentals

AbstractDatabase security management aims to protect the data in the database system to prevent data leakage, tampering, and destruction. Database system stores all kinds of important and sensitive data, and as a multi-user system, it is critical to provide appropriate permissions for different users.
Pengaruh Kreativitas Belajar Dan Disiplin Belajar Terhadap Prestasi Belajar Siswa Pada Mata Pelajaran Pendidikan Kewarganegaraan di Kelas XI SMA Negeri 2 Pematang Siantar

This study aims to determine whether there is an influence of learning creativity and learning discipline on Students Achievement in Class XI SMA Negeri 2 Pematangsiantar for the Academic Year 2022/2023.&#x0D; The problem in this study is how the influence of learning creativity and learning discipline on student achievement in class XI SMA Negeri 2 Pematangsiantar 2022/2023. The population and sample in this study were class X as many as 26 people.&#x0D; To obtain data on learning creativity and learning discipline, researchers used a questionnaire as a data collection tool and used a closed questionnaire structured in a structured manner where the question items were followed by answers consisting of four choices. The quality of the research instrument for the questionnaire was assessed through validity and reliability tests.&#x0D; The next step is to test the hypothesis by calculating the linear regression equation, namely Y over X1 is = 83.60 + 0.06 X1 meaning that between the variables X1 is linear with Y and Y over X2 is = 74,37+(0.8) X2 means that between variables X2 is linear with Y and Y over X1 and X2 is = 1.33 + 0.53 X1 + 0.69 X2, meaning that between variables X1 and X2 is linear with Y.
PENGARUH BELAJAR DARING PADA MASA PANDEMI COVID- 19 TERHADAP KEAKTIFAN SISWA PADA SISWA KELAS III UPT SDN 1 WATES

During the current pandemic, effective learning activities that are currently being carried out by all levels of school, whether primary, secondary, or tertiary, are online. The purpose of this study was to describe the effect of learning the online system on student activity during the pandemic in grade III students of UPT SDN 1 Watesn, Pringsewu Regency. This study uses a causal associative quantitative method model. The subjects in this study were grade III elementary school students with 24 students. This study found that there was an effect of online learning on student activity well, because learning was going well and also active students in learning got a significant score of 0.000 &lt;0.05 for a significant level of 5%. the value of tcount is 4,364 while ttable is 2,073 (tcount &gt; ttable) which means that HO for this study is rejected and for Ha is accepted. And based on interviews conducted by researchers, the strategy was carried out by teachers, there is a process carried out by classroom teachers to the process of the current pandemic period, effective learning activities carried out at this time by all levels of schools, both elementary schools, middle schools, and universities are carried out by way in the network (online). The purpose of this study was to describe the effect of learning the online system on student activity during the pandemic in grade III students of UPT SDN 1 Watesn, Pringsewu Regency. This study uses a causal associative quantitative method model. The subjects in this study were grade III elementary school students with 24 students.
PENGARUH MEDIA FILM ANIMASI PENDEK TERHADAP KEMAMPUAN MENULIS TEKS NARASI (CERITA IMAJINASI) SISWA KELAS X SMA SWASTA RAHMAT ISLAMIYAH MEDAN

This study aims to determine the ability to write narrative texts of class X students of SMA Rahmat Islamiyah Medan. This type of research is quantitative research with a Quasi Experimental Design approach. The data collection technique is the test. The data analysis technique used was a paired simple test with a different test. The results of this study, namely: that from the results of the pretest test that has been obtained by class X SMA Rahmat Islamiyah Medan with an average pretest score of 71.14% and an average posttest score of 82.03%. The calculation of the t-test on the posttest tcount (48,836) &gt; ttable (2,052) which means that there is an average difference in the posttest and pretest scores. The increase in pretest-posttest is 11%, which means that the working hypothesis (Ha) in this study is accepted and the null hypothesis (Ho) is rejected.
What Makes a Book Successful? A Study on Portuguese-language Literature

Analyzing the success of books is a matter of interest among publishers, professional book reviewers, expert writers, and even curious readers. Such a task has many influencing factors concerning the intrinsic content and quality of the book (e.g., interest, novelty, writing style, and engaging plot) and others regarding external factors such as social context, author relationships, and luck for publication. Faced with so many variables, recognizing a successful literary work is a challenging endeavor even for specialists in the publishing market. Our objective is: to explore a dataset of books in the Portuguese language created to obtain more knowledge about the different variables of success in the literary context; to understand and evaluate the metrics collected that indicate new perceptions about books using graphical views.
Scholastic Performance and Professional Identity of Prospective Early Childhood Education Teachers

This study discusses the current situation of professional identity of early childhood education students in colleges From three aspects: professional cognition, professional attitude and emotion, and professional behaviour, and tries to understand the influencing factors of professional identity, including personal information, scholastic performance, etc. The study determined the relationship between the professional identities with the scholastic performance of the prospective early childhood education teachers. Results show that scholastic performance is significantly and positively correlated with the total professional identity score.
The Determinant Factors of Archives Management for Academic Services in Sultan Amai State Islamic Institute Gorontalo Indonesia

This article discusses the determinants factor of archive management to support academic services at IAIN Sultan Amai Gorontalo. The main problem is what are the factors that influence the management of archives at IAIN Sultan Amai Gorontalo. This study used qualitative research methods. Data were collected through observation, interviews, and document study. The collected data were analyzed using the descriptive analysis approach. The results showed that three determinant factors influence the management of archives to support academic services at IAIN Sultan Amai Gorontalo. The three factors are archivist human resources, supporting facilities for archiving management, and internal policies regarding archives management. The research has implications for efforts to provide input on archive management problems at an institution so that it can provide the best service by academic standards.
Effect of Social Actors Perceived Agency on Social Presence in Computer-Mediated Communication

Nowadays, both text-based and 3D online applications rely on conversational agents and autonomous characters to interact with users. Previous experiments demonstrated that perceived agency, that is to say, one’s belief in interacting with a computer- or another human-controlled entity could impact social interaction. At present, theories and results still diverge and no consensus has been reached. Therefore, we developed an experiment to investigate the effect of perceived agency and emotional communication on social presence. Participants were told that they would play an online image recognition game against a computer- or a human-controlled opponent. In both cases, participants faced a computer-controlled opponent designed to provide a challenging yet balanced competitive experience. Depending on the experimental conditions, participants were able to communicate with their opponents using emoticons between the game rounds. Results demonstrate a significant main effect of emotional communication on the three dimensions of social presence we considered in this experiment. An interaction effect between perceived agency and emotional communication was observed in copresence, another core dimension of social presence. The impact of emotional communication on participants’ sense of copresence depends on the perceived agency of the opponent. A significant increase was observed for participants facing a computer-controlled opponent when emotional communication was allowed. The sense of copresence was even higher when they were facing a computer-controlled opponent rather than a presumed human-controlled one. These results are discussed with regard to theories of social interaction in computer-mediated communication.