Reviewerly/exHarmony huggingface dataset:
Improving Students’ Ability in Writing Recount Text through Contextual Teaching and Learning (CTL) Approach at the Second Grade Student of SMA DHI Mapilli

This research aimed to find out improvement the students’ ability in wiriting recount text through contextual teaching and learning (CTL) approach at the second grade student of XI Social Science 1 of SMA DHI MAPILLI in academic year of 2018/2019. The method of this research was A Classroom Action Research that consisted of two cycles. One cycle consisted of three meetings. It means that there were six meetings for two cycles. This classroom action research was done at the second grade student of SMA DHI MAPILLI. The subject of this research was XI Socisl Science 1 class in academic year of 2018/2019 by using contextual teaching and learning (CTL) approach. It consisted of 30 students. The implementiation of this research was giving the improvement for the result of the students’ ability in writing recount text through contextual teaching and learning (CTL) approach and the teacher activities in teaching and learning process. The mean scores of writing recount text in the first cycle was 64.13, and after revision in the second cycle, the mean scores became 75.83. the improvement of students’ ability to write recount text through Contextual Teaching and learning (CTL) approach is presenting recount text material at XI Social Science 1 class of SMA DHI MAPILLI. Improves the students’ ability significantly. The mean scores in cycle II is greater than the mean score of test in cycle I (75.83>64.13). the implementation of Contextual Rteaching and Learning (CTL) approach can make the students more active and enthusiast in learning process.
Surface codes and color codes associated with non-orientable surfaces

Silva et al. produced quantum codes related to topology and coloring, which are associated with tessellations on the orientable surfaces of genus $\ge 1$ and the non-orientable surfaces of the genus 1. Current work presents an approach to build quantum surface and color codes} on non-orientable surfaces of genus $ \geq 2n+1 $ for $n\geq 1$. We also present several tables of new surface and color codes related to non-orientable surfaces. These codes have the ratios $k/n$ and $d/n$ better than the codes obtained from orientable surfaces.
Smooth inverse frequency based text data selection for medical dictation

Under-resourced domain problem is significant in automatic speech recognition, especially in small languages such as Hungarian or in fields where data is often confidential such as finance and medicine. We introduce a method using word embedding and smooth inverse frequency (SIF) based distance measurement to filter public domain web corpora. The selection for (medical) domain matching documents can be scaled. The resulted text is used to train an augmented language model for a medical dictation system. We show that using the appropriately scaled selection leads to optimal performance of the ASR system over the baselines where no data augmentation was applied or all the augmentation data was added.
Distance learning: Advantages and disadvantages from university students’ perspective

In March 2020, Russia’s education system saw great changes. The pandemic associated with the new coronavirus infection COVID-19 forced students and teachers to switch to a distance learning format. This transition caused different reactions in students. The article examines the main advantages and disadvantages of distance learning from students’ perspective. The data was obtained through questioning and analysis of students’ answers. The research involved second-year and third-year students of humanities (N = 120). The answers given by the students made it possible to identify the most significant advantages and disadvantages of distance learning. First of all, according to the majority of students, distance learning is not perfect and has a number of disadvantages. Remote teaching, makes it necessary to follow certain rules protect both physical and mental health of all the stakeholders involved in training. Another disadvantage is difficulty in training students on the programmes that require the development of practical; skills. Besides, teaching and learning may be impeded by the lack of quality technical. The students highlighted the following advantages: a rapid increase in the level of digital competence, culture and literacy among students; an increase in students’ independence, self-control, and responsibility; new wide opportunities for personal development; getting a degree in a demanded profession regardless of the place of residence, physical capabilities, employment, abilities and existing skills; lack of territorial and temporal restrictions in the education space; regular remote training; mastering the educational material at an individual pace.
Kibbee Library: Library Orientation for Online Students: Research Tips

An online library guide in support of remote access of library resources by wc Finding a topic and generating search terms and keywords
DOIs and your Theses

There are several easy ways to enhance the discoverability of your institution’s theses.  External indexers like Google and other search engines are always one option, but that leaves you at the mercy of the companies’ indexing schedules.  An approach that gives you control of your metadata is to add DOIs to your thesis records, and rely on the searchability and indexing of centralized DOI databases.  Basic scripts can automate the whole process, and our approach started with just metadata transformations and ended with an entirely automated pipeline. Using minimal automation outside of our repository software stack made the process of adding DOIs fairly straightforward and quick. Providing complete metadata with our DOIs has already enhanced the discoverability and accurate display of our thesis collection.
ETIV: Embedding Temporal Network via Interest Vector

Network representation learning has attracted more and more attention, whether in academia or industry. It can convert large scale network data into low dimensional node embedding for various tasks, such as node classification, link prediction, etc. Recently, representation learning on dynamic networks has emerged, which is more similar to the situation in real life. Inspired by the interaction between entities and entities in real life, we propose a model to embedding temporal network via interest vectors (ETIV). The interest vector of an entity can be generated according to the historical entities of the interaction. Interest vector can infer the possibility of interaction between entities. Then, we can obtain the node representation by optimizing the possibility of interaction. For calculating the interest vector of a node, we use a multi-head attention mechanism to capture the information of the historical interaction nodes from different aspects. Moreover, according to the interaction time of historical nodes, we introduce a learnable time parameter to simulate the forgetting of historical information. We conduct experiments on three real data sets and find that our model performs better than state-of-the-art methods in various tasks.
Application of Data Mining for Sales Strategy at Ria Busana Using the A priori Algorithm

Ria Busana supermarket is a national-scale fashion retailer spread across several cities in Indonesia. Where this company every day must meet consumer needs and are required to be able to take the right decisions in determining sales strategies. Problems that often occur are the accumulation of transaction data, product placement that is not optimal and the absence of an application used to determine sales patterns at Ria Busana. Data mining techniques are widely used to solve many problems, one of which is the a priori algorithm method used to obtain information about associations between products by utilizing a transaction database. Algorithm a priori is a logic of calculation which combines a product with another product through product history data. Based on the results of the trial with the a priori algorithm, it is hoped that it can help Ria Busana in determining the placement of goods according to products that consumers often buy so that from determining the right product for promotion which is done right on target.
INNOVATIVE METHODOLOGICAL ACTIVITY AS A BASIS FOR DEVELOPMENT OF CREATIVE POTENTIAL OF A FUTURE MUSIC TEACHER

Education modernization in the process of intensive development of society in the country is aimed at nurturing each person’s inner need to generate and implement innovative ideas. Therefore, one of the main objectives in organizing academic and methodological work of a future music teacher is to develop a highly qualified, competent, competitive specialist, without whom it would be impossible to modernize education in Ukraine. In the current context, the professional competence of a teacher, their ability to learn constantly, their desire for self-improvement and self-actualization come to the fore. A future music teacher must be a person educated in culture, pedagogy, psychology and specific methods. Without this knowledge, a teacher loses their professional qualities, the main ones being the capability to pedagogical creativity, academic, methodological and experimental work, and interest in improving their skills. The use of innovative approaches to the organization of academic and methodological work is an important factor in stepping-up those processes. Currently, there is significant interest in the issue of developing the creative potential of students of various majors, including those related to the training of future music teachers, who will carry out the process of music education for schoolchildren in the future. Artistic innovative activity does not only reflect the specifics of updating the traditional education system through rationalization, introduction of innovative experience, or modernization, but also presents an individual creative style of a future music teacher. An important condition of this process is the optimal combination of external factors and the system of internal personal transformations, which allows students to become subjects of self-development, to achieve a certain level of personal and professional orientation from the moment of awareness of their abilities and opportunities in artistic activities. The need for a creative solution to life’s tasks is endless, it constantly motivates a person to search, and the successful, productive completion of creative searches causes satisfaction and a new wave of the need to test yourself in solving life’s tasks creatively, and to find self-fulfillment.
Differential Evolution based Cluster optimization for Multi valued data sets

In data analysis, items were mostly described by a set of characteristics called features,in which each feature contains only single value for each object. Even so, in existence, some features may include more than one value, such as a person with different job descriptions, activities, phone numbers, skills and different mailing addresses. Such features may be called as multi-valued features, and are mostly classified as null features while analyzing the data using machine learning and data mining techniques. In this paper, a proximity function is described to find the proximity between two substances with multi-valued features that are put into effect for Clustering. This distance measure approach allows iterative measurements of the similarities around objects as well as their characteristics. For facilitating the most suitable multi-valued factors, we put forward a model targeting at determining each factor’s relative prominence for diverse data extracting problems. The proposed model is an evolutionary strategy that uses Differential strategy for evolutions, which is using the degree of member ship as fitness function. The proposed clustering algorithm as multi valued attribute data cluster optimization based on the strategy of Differential evolution (MVA-DE). Therefore this becomes feasible using any mechanisms for cluster analysis to group similar data. The effectiveness of our model is evinced by performance analysis carried through experimental study. The outcomes of the experiments carried on proposed model were compared with other strategic clustering approaches like fuzzy c- means based Clustering of Multivalued Attribute Data (FCM-MVA) and K-Means with Tanimoto based multi-valued data clustering. The findings demonstrate that our test not only improves the performance the traditional measure of similarity but also outperforms other clustering algorithms on the multi-valued clustering framework.
TRUST BASED SECURITY MODEL FOR CLOUD SYSTEMS IN AN ORGANIZATION

Cloud storage provides great benefits and advantages like reduction in cost, increased flexibility, elasticity and the efficient use of resources. With these great advantages, there are concerns and problem for cloud users. Some obstacles in using cloud computing services are because of its distributed and untransparent nature. That's why users have no control over their data and information and are not sure of whether or not to trust cloud providers. Therefore, the objective of this research is to examine the influence of customer and provider characteristics on cloud service outcome, impact of Trust on cloud service outcome, and to examine if Trust mediate the relationship of customer characteristics and provider’s characteristics with cloud service outcome. In order to achieve the objectives of this research, the analyses of measurement model, factor analysis, assessment of structure model and regression analysis has been conducted. The Findings of this study shows that the existing threats in cloud service is one of the reason why users are not trusting cloud service providers. These threats which are privacy and security cause unwillingness to use cloud services. This study also found that Trust plays an enormous role for cloud service users and providers because it increases usage, willingness to use among customers, and reputation of cloud service providers. It also found that Outcome is really low if there is no trust in these services. This study will help cloud service providers/developers to know the reasons why some people and organizations are not willing to use their services.
Pengembangan Media Pembelajaran dengan Aplikasi Google Sites Berbasis Ensiklopedia Materi Teks Prosedur Kelas XI MA

The objectives of this reasearch are 1) to describe the stages of developing learning media using the Google Sites application based on encyclopedias on prosedural text material for class XI MA, and 2) to find out the feasibility of using  learning media with the Google Sites application based on the encyclopedia on the material of prosedure text for class XI MA. The type of reseach used is the type of development reseach with the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The subjects in this study consisted of three validation experts and the user group as test subject. While the object of this research is the material of prosedure text for class XI MA. The data collection method was obtained based on the result of interviews. The result of this study stated the development of learning media with The Google Sites application based on the encylcopedia of prosedural text material for class XI MA obtained “Very Eligible” results with an average score of 85,5. The average score obtained from the results of data processing from the validation and trial team. Obtaining a material expert score of 98,4 media experts is 76,6, teaching expertise (teacers) is 81 and small-scale student trials are 86. Based on these result, it can be conluded that learning media with the Google Sites application is based on text material encylopedias. The procedure for class XI MA was declared “Very Eligible” to be used as a learning medium.
THE IDENTIFICATION OF MORPHOGRAPHEMIC CHANGES IN INDONESIAN WRITING RESULTS OF DYSGRAPHIC STUDENTS AT YAYASAN PANTARA JAKARTA AS A SECOND LANGUAGE ACQUISITION

The importance of acquiring Indonesian language as a second language underlies the research towards the Indonesian writing results of dysgraphic students at Yayasan Pantara Jakarta. It is very important for Indonesians to acquire Indonesian language because Indonesian language is used as the first language for some city dwellers and a second language for most Indonesians. The main purpose of the research is to identify the morphographemic changes that occur in dysgraphic Indonesian writing results as the second language acquisition at Yayasan Pantara Jakarta. The research used descriptive-qualitative method. The data was taken at Yayasan Pantara Jakarta Elementary School after being conducted direct field survey toward dysgraphic students. The writing analysed based on online KBBI (Indonesian Dictionary) and some theories related to the research. We used the primary theories from Bussmann (1996), Šev?íková (2018), and BOTH (2016). This research also supported by other supporting theories, such as Kidd et al. (2018), Bitchener &amp; Ferris (2012), Sousa (2016), etc. From the analysis of the Indonesian writing results of dysgraphis students at Yayasan Pantara Jakarta, we found some types of morphographemic changes, they are prothesis, epenthesis, paragoge, syncope, apocope, metathesis, and substitution. Prothesis, epenthesis, and paragoge are parts of addition or insertion, while syncope and apocope are parts of deletion.
The arduino SCADA training at the Mambaul Ulum Vocational High School, Gresik

Students will be left behind in technological developments unless teachers in vocational schools constantly update their technical skills. One of such developments that is widely applied in the industry is the Supervisory Control and Data Acquisition (SCADA) application. This service aimed to share knowledge about SCADA technology with students of the Mambaul Ulum Vocational High School, Gresik in preparation for their entry into the industrial world. The results of the activity showed an increase in students' knowledge and mastery of Arduino which functions as a SCADA. This is further proven by the participants’ ability to solve the given case study.
Urdu Conjunct Predicates (N+V) Inventory from Urdu Universal Dependency Corpus

This research study aims to develop a semantic inventory of Urdu nouns which may serve as a useful resource for developing natural language processing tools. It is an effort towards improving the severely under-resourced status of Urdu. Conjunct predicate is a type of complex predicate where a noun is followed by a light verb and both work as a single syntactic constituent. Conjunct predicate N+V collocation is extracted from universal dependency annotated Urdu corpus i.e., URDU_UD_UTB (Bhat et al., 2017). Resultant data provided adequate information to categorize the pattern of nouns compatible with light verbs in their all-possible morphological forms. This research yields a sizeable repository of Urdu conjunct predicate along with figuring out a range of case markers licensed by N+V collocation as a constituent which does further implication on the volitionality. Resultant mined data can be used in some future research work to train the data in some cross-linguistic computational programs.
PENGARUH PERMAINAN “KARTU KUARTET” TERHADAP HASIL BELAJAR SISWA PADA MATERI PESAWAT SEDERHANA

EFFECT OF “QUARTET CARDS” GAMES ABOUT THE STUDENTS LEARNING RESULTS ON SIMPLE PLANES LESSON The study, entitled Effects of  Quartet Card  Games About the Student Learning Results on Simple Planes Lesson aims to determine the learning outcome of students who use the game and conventional learning, show using the game better than conventional learning, knowing the student’s response about using the game card, as well as determine the factors that support and hinder the learning process using the game card quartet on the plane of matter is simple. Design research is pretest-posttest control group design. The population in this study is the entire elementary school’s students throughout the District Harjamukti which should be in the flat. While the sample is graders VA SDN Kalijaga Permai as control class and a class VB SDN Kalijaga Permai as a class experiment. Instruments used in the form of test, observation guidelines teacher performance, student activity observation guidelines, interview and field notes. The results showed that the test results Wilxocon average difference in the experimental class and control class got value P-value (Sig.1-tailed) = 0.000 with a significance level α = 0.05. The results obtained P-value <α, then rejected or accepted. This proves the learning using the game and conventional learning can improve student learning outcomes in a simple plane material. The results of the different test average of Independent Sample t-Test obtained P-value (Sig. 1 tailed) = 0.32. The results obtained P-value <α, then rejected or accepted. It explains that learning to use the game better than conventional learning in an effort to improve student learning outcomes in a simple plane material significantly.
Automatic BIRCH thresholding with features transformation for hierarchical breast cancer clustering

Breast cancer is one of the most common diseases diagnosed in women over the world. The balanced iterative reducing and clustering using hierarchies (BIRCH) has been widely used in many applications. However, clustering the patient records and selecting an optimal threshold for the hierarchical clusters still a challenging task. In addition, the existing BIRCH is sensitive to the order of data records and influenced by many numerical and functional parameters. Therefore, this paper proposes a unique BIRCH-based algorithm for breast cancer clustering. We aim at transforming the medical records using the breast screening features into sub-clusters to group the subject cases into malignant or benign clusters. The basic BIRCH clustering is firstly fed by a set of normalized features then we automate the threshold initialization to enhance the tree-based sub-clustering procedure. Additionally, we present a thorough analysis on the performance impact of tuning BIRCH with various relevant linkage functions and similarity measures. Two datasets of the standard Breast Cancer Wisconsin (BCW) benchmarking collection are used to evaluate our algorithm. The experimental results show a clustering accuracy of 97.7% in 0.0004 seconds only, thereby confirming the efficiency of the proposed method in clustering the patient records and making timely decisions.
A Prototype of Motorizing Unit for Attending Type Movement Support Apparatus Composed of Frequent Use Drive Unit and Commercial Parts

In our research group, we are developing the electric movement support apparatus for children, who have difficulty in movement. The aim is to support the development of the cognitive ability and emotion of children, through their moving experience by themself, from childhood. In this study, first, we propose a multiuse driving unit and, using this unit, we produce some electric movement support apparatus, for example, the electric moving base for infants, the front wheel drive type powered wheelchair, the motorizing unit for the assistance use moving support apparatus, and the electric moving support apparatus to use with a standing posture. Furthermore, we demonstrate a prototype of the motorizing unit for the assistance use moving support apparatus, which is composed of the multiuse driving unit and commercial parts. The proposed approaches are useful for the discount of the production cost of the electric movement support apparatus and for the popularization of the early movement experience using electric powered apparatuses.