Reviewerly/exHarmony huggingface dataset:
Experience that should be not lost: distance education at universities in the context of the COVID-19 pandemic

The article discusses a number of problems manifested during the sudden forced transition of educational institutions to the use \pagebreak of exclusively distance learning technologies in the context of the COVID-19 pandemic, and the specifics of these problems for the areas of higher education related to the use of information technologies. A feature of these fields is the preparedness of teachers and students to use modern information technologies, as well as the high motivation of students. Under the conditions of force majeure, when the necessary stage of designing distance learning and filling it with content was forcibly skipped, both general and specific problems in organizing the educational process arose. The article analyzes the results of surveys of teachers and students conducted by the authors, which made it possible to list these problems and identify their economic and organizational reasons.
Pelatihan Pembuatan Blog Pembelajaran Bagi Guru Sekolah Dasar Punna Karya Kabupaten Tangerang

The aim of community service is to provide blogging skills that can be utilized by Punna Karya Tangerang elementary school teachers in learning. The service delivery method is a workshop held from November to December 2019. Evaluation of activities is carried out using non-test techniques using questionnaires and documentation. The questionnaire was used to compare teachers' understanding of creating learning blogs between before and after the training was carried out. While the documentation serves to see qualitatively a learning blog created by the teacher. The results of this community service are: (1) classically the competence of teachers in creating learning blogs increased by 85,80%; (2) qualitatively the learning blog produced by the teacher is good, but there are still shortcomings in terms of interface design, navigation, and its contents. Based on these results teachers should be able to improve their skills independently in designing blog-based learning media through online and print references.
On the Impact of Interpretability Methods in Active Image Augmentation Method

Abstract Robustness is a significant constraint in machine learning models. The performance of the algorithms must not deteriorate when training and testing with slightly different data. Deep neural network models achieve awe-inspiring results in a wide range of applications of computer vision. Still, in the presence of noise or region occlusion, some models exhibit inaccurate performance even with data handled in training. Besides, some experiments suggest deep learning models sometimes use incorrect parts of the input information to perform inference. Active image augmentation (ADA) is an augmentation method that uses interpretability methods to augment the training data and improve its robustness to face the described problems. Although ADA presented interesting results, its original version only used the vanilla backpropagation interpretability to train the U-Net model. In this work, we propose an extensive experimental analysis of the interpretability method’s impact on ADA. We use five interpretability methods: vanilla backpropagation, guided backpropagation, gradient-weighted class activation mapping (GradCam), guided GradCam and InputXGradient. The results show that all methods achieve similar performance at the ending of training, but when combining ADA with GradCam, the U-Net model presented an impressive fast convergence.
Pengaruh Penerapan Collaborative Learning Berbantu Ispring Presenter terhadap Hasil Belajar Program Linear

This research was aimed to investigate the influence of implementation collaborative learning with ispring presenter toward linear programing outcomes. This research was quantitative research. This also used the pre-experimental design with one-group pretest-posttest design. The sample were all students of the 4th of mathematic departement of Universitas Muhammadiyah Kotabumi in academic year 2017/2018. The sample was taken using purposive sampling. The instruments used was linear programing outcomes test. The conclusions of this research was that there is positive influence of implementation collaborative learning with ispring presenter toward linear programing outcomes.
The importance of implementing the responsibility accounting features in Jordanian public companies in limiting the occupational fraud from the point of view of internal auditors and external auditors

This paper was conducted to determine the importance of applying the features of responsibility accounting in Jordanian shareholding companies in limiting occupational fraud from the point of view of internal auditors and external auditors. It focuses on comparing their opinions and attitudes towards this issue. The study used a questionnaire that was designed and distributed to a random sample of 98 internal auditors who were shareholders of the firms and 93 external auditors who audited the accounts of the companies. The data collection tool included paragraphs about the seven features of responsibility accounting represented like dividing the organizational structure of the company into responsibility centers, and the existence of a system of delegation to the managers of responsibility centers with their powers in the shareholding. Statistical analysis of the data was performed using the SPSS statistical package. It was found that there is a role to adopt and apply all the features of responsibility accounting in Jordanian shareholding companies from the point of view of both internal and external auditors in limiting occupational fraud. The study recommended the adoption of an accounting system in companies that are in line with responsibility accounting given their role in limiting occupational fraud. The study also sheds light on the importance of external auditors giving attention to reviewing and evaluating the organizational environment and administrative procedures in the company to ensure that they are consistent with integrity and honesty.
FOLKLORE IN LITERATURE LEARNING AS A MODEL FOR DEVELOPING CULTURAL CHARACTERS AND STUDENTS 'PERSONALITY

Folklore is one of the literary genres which is a cultural product of society and belongs to the community. As a cultural product, folklore contains noble cultural values that are upheld and respected by the people. The messages conveyed in the folklore contain character education values that should be emulated by the reading community. Therefore, folklore can be a vehicle for learning and character building in students that can be conveyed through literary learning. Literature learning must be able to generate and foster good moral values in students that can make students behave in an acceptable manner by the community. Literature learning must be able to develop critical, creative, polite, responsible, disciplined, respectful attitudes to students, both in relation to themselves, relationships with others, and relationships with worship. These individual, social and religious values can be found in folklore. Therefore, learning literature should put more emphasis on the appreciation of folklore to foster local wisdom values in students.Key words: folklore, literature learning, cultural character, student personality
Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution

Visual data upsampling has been an important research topic for improving the perceptual quality and benefiting various computer vision applications. In recent years, we have witnessed remarkable progresses brought by the re-naissance of deep learning techniques for video or image super-resolution. However, most existing methods focus on advancing super-resolution at either spatial or temporal direction, i.e, to increase the spatial resolution or the video frame rate. In this paper, we instead turn to discuss both directions jointly and tackle the spatiotemporal upsampling problem. Our method is based on an important observation that: even the direct cascade of prior research in spatial and temporal super-resolution can achieve the spatiotemporal upsampling, changing orders for combining them would lead to results with a complementary property. Thus, we propose a dual-stream fusion network to adaptively fuse the intermediate results produced by two spatiotemporal up-sampling streams, where the first stream applies the spatial super-resolution followed by the temporal super-resolution, while the second one is with the reverse order of cascade. Extensive experiments verify the efficacy of the proposed method against several baselines. Moreover, we investigate various spatial and temporal upsampling methods as the basis in our two-stream model and demonstrate the flexibility with wide applicability of the proposed framework.
Extreme Learning Machine Models for Predicting Student Performance

Predicting the individual performance of each student can provide valuable information as to which students are at greatest risk of failure or dropout, and consequently highlight which characteristics negatively influence the student's academic life.Data mining provides the tools necessary to address this educational data in the search for knowledge and patterns that can be obtained.Therefore, this work uses an educational database obtained at the UCI machine learning repository related to students grades in Portuguese and proposes models using extreme learning machine networks, ensemble learning and optimization by particle swarm in order to predict students' grades.In addition two simulated data sets were also used to verify the consistency of the results obtained through the proposed regression models.After obtaining the error value for each proposed model, hypothesis tests were performed to ascertain the veracity of the results.The results indicate a better performance of the model that combines the ensemble learning, particle swarm optimization and extreme learning machine networks.
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN DENGAN KETERAMPILAN MENULIS TEKS LAPORAN HASIL OBSERVASI SISWA KELAS VII SMP NEGERI 33 PADANG

ABSTRACT There are three aims of this study. First, describe the skills of reading comprehention of VII grade students at SMP Negeri 33 Padang. Second, describe the writing skills of the report observation text of VII grade students at SMP Negeri 33 Padang. Third, describe the correlation of reading comprehention with the writing skills of the report observation text of VII grade students at SMP Negeri 33 Padang. The type of this research is quantitative in terms of descriptive methods. The design used in this study is correlational design. The population of this study was the seventh grade students of the SMP Negeri 33 Padang which was registered in the 2018/2019 school year, it was 192 students. The sample in this study was determined by proportional random sampling of 20% of the population, namely 36 students. The research data is in the form of scores on the skills test results of reading comprehention and scores on the results of the test writing skills of the report observation text. The instrument of this study is an objective test to measure reading comprehention skills and performance tests to measure report observation text writing skills. The results of this study are three. First, the skills to write report observation texts of VII grade students of the SMP Negeri 33 Padang is in accordance with the Good qualifications (B) with an averange value 82,99. Second, the skill of reading comprehention of VII grade students of the SMP Negeri 33 Padang in accordance with Good qualifications (B) with an averange value 81,42. Third, there is a significant correlation betwen reading comprehention skills and report observation text writing skills of VIII grade students of the SMP Negeri 7 Padang on n-1 freedom degrees and 95% significant level. H0 is reject and H1is accepted because the tcount is greater than ttable (13,59 &gt; 2,68). Kata Kunci: Korelasi, Keterampilan Membaca Pemahaman, Keterampilan Menulis Teks Laporan Hasil Observasi.
The Implementation of Augmented Reality-Based Learning in Computer Network System Courses

How to deliver teaching materials in lectures is one part that determines students understand the material presented, especially when lecture material is something that requires equipment that supports outdoor activities or requires practicum devices that are not possible to apply to the room for example is practicum about depicting Fresnel Zone and Sometimes monotonous delivery bores students so that they are not interested enough to have difficulty in understanding lecture material. One way that can be done to overcome this is by using visual equipment so that what is conveyed visually makes students interested in the material presented. Submission visually in the room is also a problem when the number of students is large. For that we need equipment that can provide information visually and is easy to use or carry that can stimulate the activities of students to interact. Augmented Reality is a visual model that can provide new experiences in interacting between real objects and virtual objects in the form of three dimensions, using augmented reality packaged as learning material can help students to understand teaching materials in lectures.
IMPLEMENTATION OF WORKSHOP TO IMPROVE TEACHERS' ABILITY TO USE COMPUTERS IN LEARNING PROCESS IN SMP NEGERI 1 KUBU ROKAN HILIR

School action research (PTS) aims to improve and improve the learning system in schools. The purpose of this research is to improve the ability of teachers to use computers in teaching through the implementation of workshops. Data collection in this research is by observing and reflecting on the actions of teachers at SMP Negeri 1 Kubu. The results showed that the implementation of workshops on the ability of teachers in teaching by utilizing computers has increased compared to before the reflection of actions that are 90% with excellent categories, seeing the results can be concluded that the implementation of workshops on the ability of teachers in teaching by utilizing computers is very effectively applied in SMP Negeri 1 Kubu Babussalam Rokan Hilir Regency.
To Delay Instantiation of a Smart Contract to Save Calculation Resources in IoT

Smart contracts are required to be instantiated in the predeployed stage, which consumes computation resources from then on. It is a big waste in the blockchain whose nodes are composed of IoT devices, as those devices often have limited resources (such as limited power supplies or a limited number of processes to run). Meanwhile, IoT devices are heterogeneous and different smart contracts are required. If those smart contracts are instantiated previously, numerous meaningless addresses are required. In this paper, we propose to delay the instantiation of a smart contract when used and terminate it when not used, which is similar to the life cycle of a variable. Then, a new kind of variable (the wrapping variable) is used to hide details of the instantiation and the address. The smart contract is instantiated in the construction function of the wrapping variable, or even it is delayed to the time when there are requests for it. The smart contract terminates when the variable is out of its scope. Then, different instantiation methods are proposed. Finally, we perform the qualitative comparison between the proposed approach and the predeployment method, and it demonstrates that the proposed methods optimize the life cycle of the smart contract and save calculation resources.
Transforming Library Collections and Supporting Student Learning with Collection Mapping

Collection management and development projects are essential to ensure students have access to resources that best align with the learning outcomes of their coursework. After evaluating their collection, the librarians at Florida SouthWestern State College (FSW) overhauled their print collection to make sure the titles available to students matched the college’s curricula and degree programs. Collection mapping played an important role in gathering data, allowing the librarians to streamline print collections with a focus on curricular needs as well as forming partnerships with faculty in developing the new collection. The presentation covered the FSW Libraries’ project goals, implementation, and outcomes.
NEWSPAPERS EFFECT ON STUDENTS’ WRITING ACHIEVEMENT ACROSS ENGLISH PROFICIENCY LEVELS

Exposure is one of the obvious obstacles in the process of teaching and learning English. In figuring out one prospective exposure in students’ daily life, this study investigates the effect of newspapers as a medium in enhancing students’ English achievement, especially writing skill. The objective of this study is to find out whether students assigned to read English newspapers write better than those who are not. The subjects of the study were 85 English department students who were randomly assigned to an experimental group and a control group. A quasi-experimental was employed in this study. For six executive weeks, before the students were asked to write, the students in the experimental group were assigned to read English newspapers, whereas then students in the control group were not. By using Mann-Whitney and one-way ANOVA tests, the results of this study show insignificant results (0, 273; 0,194; and 0,179). As the high proficient students also could not take the newspapers for their learning benefits, affective and intrinsic factors such as awareness and willingness had to be considered.
Synesthesia and the Color-light Keyboards

The invention of a color-light keyboard combines the scientific and artistic domains in the performing arts. Based on the sound-color correspondence, the design of the color-light keyboard indicates a certain sound or a specific harmony in association with a particular color, shape, or colorful pattern. The correlation between visual image and sound is partially associated with the concept of synesthesia, refers tothe neurological condition of sensory fusionthat often appears in the musical composition. This study will investigate the revolution and development of the color-light keyboard in history, as well as the synesthetic perspectives concerning the originality and innovations of color-light keyboards made by different scholars. It will aim to explore the significance of synesthetic behaviors in contemporary music performance presented bythe color-light keyboards, which pioneers the multimedia application in the performance.
Piano bass strings with reduced inharmonicity: theory and experiments

In modern straight pianos and half-grand pianos the inharmonicity due to the bending stiffness of the strings makes the sound of lower notes of poor quality. The question of whether this can be corrected has been addressed in a previous paper and it was shown on the basis of numerical simulations that this might be possible. In the present paper we show using analytical models that fixing a single mass near the end of the string is a simple and efficient solution. Indeed, the experiments show that theoretical predictions are relevant. So, in practice, on the basis of a simple formula involving the inharmonicity coefficient, it is easy to deduce the position of a given mass in order to reduce significantly the inharmonicity of the bass strings.
QoS-aware Reinforcement Learning for Multimedia Traffic Scheduling in Home Area Networks

Cloud-based interactive multimedia applications such as virtual games and video streaming are gaining high popularity. However, giving the high bandwidth consumption, the remote execution can negatively impact the quality of the multimedia traffic. In such a realm, data travel different communication networks from the cloud to the final users crossing the last meters the home's access point (AP). In such a scenario, the quality-of-service (QoS) support is a challenging task, particularly in the home network environment, with heterogeneous applications simultaneously running and consuming the available bandwidth. To address this issue, we propose ReiLeCS, a Reinforcement Learning-based Controller and Scheduler for interactive multimedia traffic in Home Area Networks (HAN). Through reinforcement learning and the maximization of a reward function, it enables the AP to schedule the arriving multimedia traffic from the cloud according to their required QoS. Simulation results using real multimedia traffic conditions demonstrate that ReiLeCS achieves better performances compared with existing packet scheduling policies.
Code-Mixing and Code-Switching in Teaching Listening Skills to Intermediate 3 Students at LBPP LIA Bekasi

This study discusses the form and function of code-switching and code-mixing used by the teacher in teaching listening skills to the Intermediate 3 students at LBPP-LIA Bekasi. The phenomenon of implementing code-switching and codemixing codes does not only occur in multilingual societies but also in the foreign language learning process in the classroom where teacher and students use two different languages. The strategy of using code-switching and code-mixing is expected to facilitate foreign language students particularly in learning how to listen where the teacher and students engage in interaction using the language that students are learning. Qualitative method is used to analyze data. From the results of data analysis, it was revealed that the teacher often switches codes when teaching listening skills for both code- switching from English to Bahasa and vice versa. The teacher also mixes the code in the form of morphemes, words, phrases, and clauses. The aim of the teacher to change and mix codes in teaching can be seen from the functions of using code-switching and code-mixing. The confirmation function, for example, is used by the teacher so that students do not misunderstand the topic learned. Other functions also have different objectives to facilitate students learning how to listen in English interactively in the classroom.
Data Science and Big Data Practice Using Apache Spark and Python

Data science and big data analytics are still at the center of computer science and information technology. Students and researchers not in computer science often found difficulties in real data analytics using programming languages such as Python and Scala, especially when they attempt to use Apache-Spark in cloud computing environments-Spark Scala and PySpark. At the same time, students in information technology could find it difficult to deal with the mathematical background of data science algorithms. To overcome these difficulties, this chapter will provide a practical guideline to different users in this area. The authors cover the main algorithms for data science and machine learning including principal component analysis (PCA), support vector machine (SVM), k-means, k-nearest neighbors (kNN), regression, neural networks, and decision trees. A brief description of these algorithms will be explained, and the related code will be selected to fit simple data sets and real data sets. Some visualization methods including 2D and 3D displays will be also presented in this chapter.
CLASSIFICATION OF CZECH SIGN LANGUAGE ALPHABET LETTERS USING CNN – PRELIMINARY STUDY

The paper deals with the classification of Czech sign language single hand alphabet letters from static images using convolutional neural network (CNN).Proposed CNN architecture exhibits about 71 % successful rate of classifying the letters signed by the person not included in the training data set.