Reviewerly/exHarmony huggingface dataset:
PENINGKATAN HASIL BELAJAR SISWA MELALUI PEMBERIAN TUGAS JURNAL BELAJAR PADA SISWA KELAS IX SMP ISLAM AS-SYAFI’AH MOJOSARI MATERI REPRODUKSI

This research aims to improve learning outcomes through the granting of learning journal assignments with students of class IX of the U.S. ISLAMIC INTERACTIVITY reproduction material. The study was conducted on the IX 1 class with 18 students. The research was conducted with the planning, implementation, observation and reflection phases with 2 cycles of each each cycle of one meeting. Data collection techniques using observation sheets and tests. Research approaches use collaborative types of classes. Results showed on the pre-cycle of obtaining the results of study only 16.6% of the classifications average of 61.6 and the affective value of the students 62.9%, as well as psychomotor Strongswan 67.5%. The I-cycle results in learning 38.8% with the classical average of 72.7 and the student's affective 74.6%, as well as psychomotor value in the yield of 74.07%. The cycle II was granted a 66.6% survival rate with a classical average of 77.2 and a student's affective value of 78.3% of the psychomotor value of students at 79.6%. The implementation of study journal assignments can have a positive influence that can improve students ' learning performance by marked increase in the value of each cycle Keywords: Learning Journals, learning outcomes
Zapata raises funds for quantum computing

BASF Venture Capital is among the investors leading a $21 million series A round of funding for Zapata Computing, a 2017 spin-off from Harvard University in the field of quantum computing. Zapata is developing software and quantum algorithms to assist discovery researchers in fields including chemicals, pharmaceuticals, and materials. BASF says quantum computing will help shorten the time it takes to launch new products.
PENERAPAN MODEL KOOPERATIF TIPE MAKE A MATCH UNTUK MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR HIWAR DI MAS PLUS PADANG GANTING

This study aims to describe students’ activities and their learning outcomes using make a match type of cooperative learning model in learning hiwar. This research is a classroom action research consisting of two cycles. Each cycle consists of planning, action, observation and reflection. Data were collected through observation and then analyzed by using descriptive qualitative technique. The results of the data analysis indicate that make a match type can increase the activity and learning achievement of class X MAS Plus Padang Ganting students. The relevancy of students’ activities and learning activities in cycle II is increased for about 23.11%, and the unrelevancy of students’ activities and learning activities is decreased for about 16.26% in cycle II. While, students’ understanding about hiwar is increased 13.33%, and learning completeness is also increased 20.86% in cycle II.
Research on Architecture of Intelligent Command and Control System

As the nerve center of the combat system, command and control system plays the role of the combat intelligence brain. Its intellectualization is the key to enhance the core competitiveness of the military field. Intelligent development of command and control is the general trend. In the basis of Artificial Intelligence, this paper describes the definition and key technologies of intelligent command and control system, and puts forward a command and control system architecture model with service as granularity, data as center and artificial intelligence as grasp based on military cloud brain. which provides basic theory and technical support for the future development of intelligent command and control system.
MENINGKATKAN KETERAMPILAN MEMBACA BAHASA ARAB MELALUI MODEL QUANTUM TEACHING DI MAN 3 PADANG PANJANG

This study aims to describe the second semester of first grade students’ achievement in learning reading of Arabic language at MAN 3 Padang Panjang by using quantum teaching model. This is a classroom action research using Kemmis and Burns model. The result shows that implementing quantum teaching in Arabic learning can improve students’ ability in reading. The improvement is proved by reading scores obtained by students in every cycle. The mean score at cycle I is 69.96, at cycle II is 74.42, and at cycle III is 83.91. It means that there is an improvement of students’ motivation at every cycle. The percentage of students’ motivation at cycle I is 63.75%, at cycle II is 77%, and at cycle III is 84.9%. The implementation of quantum teaching model has increased which can be seen by the improvement of students’ achievement in every cycle.
A model for measuring the direct and indirect impact of organisational culture factors and knowledge-sharing on the success of employee performance (field study in Jordanian Islamic banks sector)

The purpose of this paper was to analyse the direct and indirect impact of organisational culture factors, which are seen to consist of participation, compliance, consistency, adaptability, and strategic direction, with the objective to achieve success in employee performance through the mediation of knowledge-sharing. Additionally, the research is based on an empirical research encompassing a sample of three Islamic banks (totalling 235 employees) in Jordan where respondents answered the survey questions. The analysis of data obtained was conducted via Smart PLS software. Research studies imply the confirmation of studying the direct and indirect impacts of organisational culture factors and knowledge-sharing on the success of employee performance. Based on these results, it can be concluded that knowledge-sharing fully mediates the relationship between organisational culture factors (participation, compliance, and strategic direction) on the success of employee performance, and partially mediates the relationship between organisational culture factors (compliance and consistency) on the success of employee performance.
Study on the Performance Evaluation of Expatriate Technician in Multinational Corporations

Abstract Performance evaluation of expatriate technicians is an important way for multinational corporations to effectively manage their expatriate technicians, which is crucial to the technological innovation of multinational corporations. This paper designs the performance evaluation index system of expatriate technicians, which includes work efficiency, professional competence, work attitude, and personal traits. Then, based on the C-POWA operator, the evaluation method of expatriate technicians is put forward. Lastly, using the index and method of evaluation of expatriate technician, four expatriate technicians’ performance are evaluated, and the results reveal that the index and method we put forward are scientific and practical.
Study the Deformation of Solid Cylindrical Specimens Under Torsion Using 360° DIC

In this work, the plastic deformation and ductile failure of solid Al 6061-T6 and 304L tube specimens under torsion loading was investigated using a new developed 360° DIC system. The tube specimens of both ductile metals can exhibit very large rotation under torsion loading, which makes it very difficult to experimentally measure the deformation at failure. In our earlier work, 3D DIC system composed of one pair of cameras was applied to investigate the local deformation. The DIC system with one pair of cameras was only able to track the area of interest within a rotation angle of 90° or smaller. However, the specimens failed at rotation angles larger than 240°. The DIC system with one pair of cameras was difficult to obtain the critical strain data at large rotation. In this work, a new 360° DIC system which consists of four pairs of cameras was designed and incorporated into the experiment so that the whole surface can be imaged during the rotation. The new DIC system was able to track the area of interest and measure the deformation till the specimen failure. Shear strain at failure location can be measured and related to the global loading condition.
PERANCANGAN SISTEM PERSEDIAAN BARANG JADI PADA PT.ULTRA PRIMA PLAST JAKARTA

The purpose of the inventory of which is to meet consumer demand with rapid, to support the activities of the companies concerned. In addition to the inventory information is important to provide information about the financial position of the fair as a going concern. Inventories of goods are also very susceptible to damage, rising prices, damage and theft. To that end, the management company must perform a system for recording the inventory appropriately in accordance with the procedures specified. Because of errors in recording inventory will affect the company's income. Records with a computerized card stock will facilitate the checking of inventory directly without having to physically check into the warehouse.
IMPROVING THE STUDENTS’ ACHIEVEMENT IN WRITING PROCEDURE TEXT BY APPLYING MIND MAPPING TECHNIQUE

This study was aimed at improving the students’ achievement in writing procedure text by applying mind mapping technique by conducting classroom action research. The subjects of this research were the students of grade X SMA Kebangsaan Medan. The number of the students was 15 students. The data were analyzed by using quantitative and qualitative procedures. The quantitative data were taken from students’ scores in writing procedure text. Then the qualitative data were taken from the questionnaire and observation sheets. There were two cycles in this research. The tests were done in three times. Before run the first cycle, the preliminary test was done. Based on the data analysis, the mean of the students score in preliminary test was 47.8, in cycle I was 64.6, and in cycle II was 72.8. The conclusion is not only mind mapping technique significantly improves the students’ achievement in writing procedure text, but also the students understanding about procedure text.
Application of BIM Framework for Digital Twin Implementation

In case of the digital twin mentioned in the recently announced Smart City plan, it is different from other industrial fields such as manufacturing industry and utilization method due to characteristics of the construction industry. This is due to the fact that the size of the application and the type of information required by the user differs from city to city. Of course, there has been a lot of attempts to utilize these different kinds of data from before the time when the public interest in smart city increased. This study suggests a framework that can be directly applied to the digital twin technology required in recent Smart City policy, based on the studies for linking BIM/GIS data that had been conducted before Smart City considering this situation. This enables efficient management of most of the artifacts that make up the city as it enables the management of the level of the BIM expansion of the city scale and GIS information, and it is linked with the large database such as the future city to improve the urban environment and construction productivity without any extra work.
Making RESTful API Calls with HTTP

Now we know how to create a Flutter app, use external libraries and asynchronously read and write data in JSON format. That actually puts us in a great position to go just one small step forward and exchange data with an API server, something that is absolutely essential if we are going to write real-world apps. Here’s what we need to know:
A Professional Competence Of Russian Teacher In The Conditions Of Educational Digitalization

The article addresses the issues of the formation regarding the professional competence of Russian as a foreign language (RAF) teachers in the conditions of digitalization of the educational process. The main focus is on the essence of information and communication-technological competence (ICT competence). The component structure of the ICT competence teacher has been determined on the basis of which the structure of competence was stated. It was completed the characteristic of the types activities by teachers, the levels of assimilation of these types of activities, and criteria. In accordance with the obtained structure, it was identified the indicators of the ICT competence teacher in the education’s digitalization. Based on the formulated indicators for the manifestation of competence, consisting in the totality of knowledge, skills, possession, presence of motivation and necessary personal qualities, it was made an attempt to describe the content of the ICT competence. Received structure of the ICT competence and indicators of the ICT competence of teacher served as a basis for setting guidelines for selecting the content of an educational program aimed in training teachers in a digital environment. It was highlighted the academic disciplines that contribute to the development of the ICT competence of teachers.
TRAINING PROGRAM FOR DESIGNING WOOD AND RESIN-BASED JEWELLERY IN SATRIA SRENGSENG VOCATIONAL HIGH SCHOOL WEST JAKARTA

Jewellery craft is a business with promising opportunity since nowadays numerous materials might be processed into wonderful jewellery as long as the aspects of aesthetic in the jewellery draw the interest of the potential customers and possess the values of beauty and uniqueness. Therefore, rather than being a part of individual collection, jewellery offers good business potentials. In relation to the statement, simple material design in the form of wood waste in combination with resin starts to be an excellent alternative both in the domestic and in the foreign market. In the same time, many designers and also businessmen start to pay attention to market potentials of the products that have been the combination of the two materials. Based on the consideration toward the simple design yet special skills and high level of creativity, the combination of wood waste and resin should be introduced to the public, especially to the students or the teenagers, so that the spirit of creativity altogether with the business potentials might be a role model of entrepreneurship in the future. For ensuring the achievement ofthis end, a training program in the form of practical materials for the designing process should be designed altogether with the creativity development and the marketing initiatives with low budget. Thereby, the participants of the training program might design jewellery with high sale value yet low budget. Departing from this elaboration, the researcher would like to implement such training program into the community directly. Through the implementation of such program, it is expected that the given community might develop their marketing potentials and business quality. Furthermore, through the implementation of such program, it is also expected that the young designers within the given community becomes well-trained to design the export-scale products to meet both the domestic market and the foreign market. The researcher believes that by introducing the design skills to the young generation, especially to the students, the business spirit and interest might be developed. Then, the training program of designing wood and resin-based jewellery offer good aspects in directing the active business potentials and the positive creativity within the community. One of the efforts that might be pursued in achieving this objective is introducing the design of such jewellery altogether with the practice of jewellery design in the senior and vocational high schools located throughout West Jakarta. Withinthis initiative, the focus of the study, as part of Community Service Program, is one of the vocational high schools in West Jakarta namely Satria Jakarta Vocational High Schools located in Srengseng 26A RT 5/RW 6, Srengseng, Kembangan, West Jakarta.
Improving Students’ Speaking Ability by Using Information Gap Method at Cerdas Murni Senior High School Tembung.

This research was aimed to find out the improvement of students’ speaking ability by using information gap method. The subject of research were the students in grade X MIA-1 which consist of 36 students in the class. This research was conducted by using Classroom Action Research by Kemmis and Mc Taggart, which consisted of two cycles. There were two kinds of techniques in analyzing data, first was qualitative data that obtained from observation, interview, diary notes and documentation that was analyzed from Miles and Huberman technique. The second was the quantitative data were obtained from speaking test that was analyzed by using the mean and percentage scores. The result of this research showed that the students’ speaking ability have the improvement after using information gap method. The students have more participation and active to convey their ideas, opinion, and feeling during the process of speaking activity. Moreover, the students’ score was higher than before after implemented the method. It can be shown from the result of pre-test, post-test 1 and post-test 2, which are in pre-test the students ‘ mean score was 62 which only 6 students or 16,6% of 30 students who passed the minimum passing grade. In post-test I, the mean of students’ score was 72 in which there were 17 students or 47% who passed the minimum of passing grade. At the last, the mean score os students score in post-test 2 was 76 which there were 29 students or 80% who passed the minimum of passing grade. It indicated that the information gap method can improve in students’ speaking ability.
Improving the Performance of Heterogeneous Hadoop Clusters Using Map Reduce

The key issue that emerges because of the tremendous development of connectivity among devices and frameworks is making such a great amount of data at an exponential rate that an achievable answer for preparing it is getting to be troublesome step by step. Thusly, building up a stage for such propelled dimension of data handling, equipment just as programming improvements should be led to come in level with such generous data. To enhance the proficiency of Hadoop bunches in putting away and dissecting big data, we have proposed an algorithmic methodology that will provide food the necessities of heterogeneous data put away .over Hadoop groups and enhance the execution just as effectiveness. The proposed paper intends to discover the adequacy of new calculation, correlation, proposals, and an aggressive way to deal with discover the best answer for enhancing the big data situation. The Map Reduce method from Hadoop will help in keeping up a nearby watch over the unstructured or heterogeneous Hadoop bunches with bits of knowledge on results obviously from the algorithm.in this paper we proposed new Generating another calculation to tackle these issues for the business just as non-business uses can help the advancement of network. The proposed calculation can help enhance the situation of data ordering calculation MapReduce in heterogeneous Hadoop groups. The exposition work and analyses directed under this work have copied very amazing outcomes, some of them being the selection of schedulers to plan employments, arrangement of data in similitude lattice, bunching before planning inquiries and in addition, iterative, mapping and diminishing and restricting the inner conditions together to stay away from question slowing down and execution times. The test led additionally sets up the way that if a procedure is characterized to deal with the diverse use case situations, one could generally lessen the expense of processing and can profit on depending on disseminated frameworks for quick executions.
An Approach for Web Applications Test Data Generation Based on Analyzing Client Side User Input Fields

Since it is time consuming to manually generate test data for Web applications, automating this task is of great important for both practitioners and researchers in this domain. To achieve this goal, the research in this paper depends on an ontology that categorizes Web applications inputs according to input types such as number, text, and date. This research presents rules for Test Data Generation for Web Applications (TDGWA) based on the input categories specified by the ontology. Following the approach in this paper, Web applications testers will need shorter time to accomplish the task of TDGWA. The approach had successfully been used to generate test data for different experimental and real-life Web applications.
Robust Neural Networks for Causal Invariant Features Extraction

Most machine learning approaches exploit correlational relationships in a training data set to predict a target variable. When these correlations are spurious or unreliable, this hampers the ability to generalize learned models to new environments. In contrast, models exploiting causal relationships between features and the outcome generalize better across environments. In this paper, we posit that these robust causal relationships can be identified by finding features that, when conditioned upon, render the outcome invariant across environments—that is, when the outcome is independent of the environment given a set of selected features with lower dimensions. We propose a neural network architecture for this task, comparing it with several existing approaches to exploit the causal invariant property, with a discussion on their motivations in a unified framework. Empirically, we perform a simulated experiment to demonstrate and compare the performance of the proposed method to the existing approaches. Finally, we measure its efficacy in a real world data set for advertisement click prediction.
Cloud+: A safe and restrained data access control program for cloud

Secure distributed storage, which is a rising cloud administration, is planned to guarantee the mystery of re-appropriated data yet also to give versatile data access to cloud customers whose data is out of physical control. Ciphertext-Policy Attribute-Based Encryption(CP-ABE) is seen as a champion among the most reassuring frameworks that may be used to verify the confirmation of the administration. Be that as it may,the use of CP-ABE may yield an unavoidable security burst which is known as the abuse of access accreditation (for example decoding right). In this paper, we look at the two essential occurrences of access accreditation misuse: one is on the semi-believed specialist side, and the other is supportive of cloud customer. To ease the abuse, we propose revocable CP-ABE based distributed storage structure with express renouncing, planned information getting to and numerous examining capacity alluded as Cloud+.
Deep Web Data Source Classification Based on Text Feature Extension and Extraction

With the growth of volume of high quality information in the Deep Web, as the key to utilize this information, Deep Web data source classification becomes one topic with great research value. In this paper, we propose a Deep Web data source classification method based on text feature extension and extraction. Firstly, because the data source contains less text, some data sources even contain less than 10 words. In order to classify the data source based on the text content, the original text must be extended. In text feature extension stage, we use the N-gram model to select extension words. Secondly, we proposed a feature extraction and classification method based on Attention-based Bi-LSTM. By combining LSTM and Attention mechanism, we can obtain contextual semantic representation and focus on words that are closer to the theme of the text, so that more accurate text vector representation can be obtained. In order to evaluate the performance of our classification model, some experiments are executed on the UIUC TEL-8 dataset. The experimental result shows that Deep Web data source classification method based on text feature extension and extraction has certain promotion in performance than some existing methods.