Reviewerly/exHarmony huggingface dataset:
Fiction Stories and Poster Presentation in Teaching Indonesian EFL Students

Literacy is a crucial topic for most countries around the globe. As in Indonesia, literacy becomes a major issue since most of young Indonesian people decrease their tendency of reading books in their free time. Reading, either it is extensive or intensive ones, is an essential knowledge for everyone. Fictions are needed to be explored for better literacy. As English as a Foreign Language (EFL) students, English fiction is one of a good source to improve students ability in using English. By reading more fictions, EFL students can gain many benefits directly or indirectly to their English, and it can be seen easily from their fluency by using a special model named Poster Presentation. Furthermore, poster presentation can be used in teaching and learning as variations in reading activity. This research is to explore the use of fiction stories and Poster Presentations for Indonesian EFL students at Lambung Mangkurat University. There were some stages during the Fiction stories and poster presentation project which involved tutoring, group work, and theposter presentation. The students were asked to read short fiction stories, make a summary of it, and finally design the summary into posters. The tutoring part was beneficial to keep students understand the project. The questionnaire by using Likert-scale was distributed which to investigate students’ perception on the use of poster presentation in learning fiction stories. The results showed that the students interpret poster presentation to improve their reading comprehension, communication, cooperation, collaboration, and creativity during the classroom interaction. Keywords: Extensive reading, fiction stories, poster presentation, readingcomprehension
Retrieving Arabic Textual Documents Based on Queries Written in Bahraini Slang Language

Nowadays, the most used language is the colloquial language not the classical language. It is widely used in many nations. The kingdom of Bahrain had the largest share in the spread of the colloquial language, which becomes the trader&amp;#39;s language and the language of the social communication too. It became so popular that its usage starts dominating the daily conversations. In this research, we will create algorithm to enhance the process of information retrieval in Arabic slang language of the Gulf. In this algorithm, we put some special Bahraini rules to convert queries from Slang Bahraini to a classical language. In addition, we will apply this algorithm on the Bahraini colloquial language. After making an evaluation for the system relying on the results of three main aspects recall, precision, and F-measure, we noticed that the results of precision about 0.64 for both researches slang and classical, which gives a great indication that the system supports searching in Bahraini slang language. The purpose of this research is to improve the Information Retrieval system field. In addition, it will save the time and the effort of the researchers of the Bahraini colloquial language.
How to reorganize computer science and technologies?

The fundamentals of modern progress are based on the infinite growth rates of the computational and informational capacities of a post-petaflop scale, which provide unthinkable opportunities for acquiring new knowledge and introducing innovation into production, environmental management, and the economic and social spheres. The key method here is based upon the predictive mathematical modeling of processes and phenomena, including theoretical and applied research, super-computations and large-scale computer experiments, operations with mega-data sets, and artificial intelligence. The solution to emerging supertasks requires huge amounts of new generation intelligent software, which is impossible without the formation of new concepts and paradigms of activity, architectural solutions, and constructive technologies. The world is embracing the creation of integrated computing and information environments, forming an instrumental context for automating the construction of models and algorithms, their mapping onto supercomputer platforms, and the creation of comfortable interfaces for users with different professional backgrounds. Such an ecosystem is designed for a long life cycle with continuous development and the coordinated participation of various groups of developers, as well as widespread demand. In fact, this is leading to the formation of a new industry with mass professions requiring high supercomputer literacy. The identified scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams
Embedding Based Cross-network User Identity Association Technology

With the prosperity of online social networks, more and more users have multiple social accounts at the same time in heterogeneous social networks. Associating the same user identity between different social networks is beneficial for applications such as across-network information diffusion and cross-domain recommendation. User identity association across distinct social networks is to find accounts belonging to the same user without knowing the real identity of the users. Most of the existing identity correlation methods, including supervised learning and unsupervised learning methods, only use user's entity information in social networks, such as user attribute information and content information, nevertheless the inherent structural information of the networks is not fully used, so their effectiveness is often sensitive to the high dimension and sparsity of feature spaces. In this paper, we propose a novel model, called EUIA, which employs network embedding method to learn two low-dimensional representations of nodes of the two original networks respectively. Besides, we learn a mapping function across the learned two low-dimensional spaces, supervised by observed anchor links, for further predicting. In addition, we propose an effective optimization program to improve the accuracy of the model. Through experiments on the dataset of Facebook, we prove that the proposed EUIA model performs much better in accuracy than other baseline methods in cross-network user identity association problem.
Penerapan Fuzzy Inference System Mamdani Untuk Menentukan Jumlah Pembelian Obat (Studi Kasus: Garuda Sentra Medika)

&lt;p class="Abstract"&gt;The availability of the right raw materials is closely related to the number of products to be produced. Therefore the prediction of production must be adjusted so that the stock order of raw materials can be calculated correctly. Inventory problems are problems that are always faced by decision makers in the field of inventory. Supplies are needed because basically the demand pattern is irregular. Inventories are carried out to ensure that there is certainty that when needed these products are available. The problem in inventory is the difficulty in determining the amount of inventory that must be provided in meeting the number of requests to consumers. The purpose of this study was to determine the amount of drug purchases at Garuda Sentra Medika with the Mamdani method fuzzy inference system based on inventory data and sales data. This study uses three variables, namely inventory, sales and purchases by having two inputs, namely inventory and sales and one output, namely purchase. The results of the application of the fuzzy inference system Mamdani method can help the company to determine the amount of drug purchases with a success rate of 99.35869%.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords&lt;/strong&gt;: &lt;em&gt;Drug Sales, &lt;/em&gt;&lt;em&gt;Fuzzy Inference System, &lt;/em&gt;&lt;em&gt;Inventory,&lt;/em&gt;&lt;em&gt; Purchasing.&lt;/em&gt;&lt;/p&gt;
Upaya Meningkatkan Hasil Belajar IPS Menggunakan Model Direct Instruction dengan Media Animasi pada SDS Muhammadiyah Selat Kelas Iv-A Tahun Pelajaran 2016/2017

This study aims to (1) describe the learning activities of students in teaching and learning activities using the Direct Instruction Model with Animation Media (2) to know the increase in social studies learning outcomes at SDS Muhammadiyah Strait of Class IVA after using the Direct Instruction Model with Animation Media. The type of research used by researchers is to use a class action research design (CAR) that seeks to solve problems faced in the current situation. With the number of research subjects 27 students namely 16 men and 11 women � qualitative and quantitative data analysis techniques. The results of the study show that: (1) Student learning activities are good at social studies learning using Direct Instruction models with animated media. The first cycle of student activity has an average value of 3.52 with good categories and the second cycle of student activity has an average value of 3.94 in the excellent class. (2) There is an increase in learning outcomes after learning by using the Direct Instruction model with animation media on social studies lessons for students of class IVA SDS Muhammadiyah Selat. This can be seen from the data on student learning outcomes. In the initial test of learning outcomes students get 48% classical completeness with an average value of 61, in the first cycle the learning outcomes of students get 77% artistic completeness with an average value of 70 and in the second cycle the learning outcomes of students get 100% classical completeness with an average amount of 87 reaching the specified KKM.
Design of Clothing Collocation Model Based on Expert Opinion

The characteristic similarity of clothing can describe the degree of similarity between clothing and clothing, from this point of view can be excavated more clothing collocation rules. In this paper, the garment collocation algorithm is studied based on deep learning technology. On the basis of the clothing collocation style of expert opinions, the expert collocation rules are expanded through the characteristic similarity of clothing. The Convolution Neural Network (CNN) and the Long Short-Term Memory Network (LSTM) in deep learning can be used to find the characteristics between clothing from the perspective of the style features, compatibility features and semantic features of clothing. A new collocation combination can be found by the similarity calculation of the characteristics. Through the simulation experiment and the judgment of the evaluation index, the prediction performance of the algorithm in this paper is better than Siamese Convolution Neural Network (SCNN) and the association rule algorithm of and data transaction.
Getting learners to speak in the (Indonesian) ELT Classroom

Despite realising the importance of acquiring good speaking skill, English teachers in Indonesia find that it is challenging to get their learners to speak during classes. Potential reasons for reticence are: their lack of vocabulary, dependency of L1 translation, and tendency to give short answers. Therefore, it is crucial to provide the teachers with practical techniques that they can use in their daily teaching to address this reticence. By providing scaffolding to the speaking activities, which includes how to structure the speaking activities and prepare the learners before the activities, the teacher can make speaking tasks more productive for learners. Moreover, the amount of scaffolding can be adjusted to suit the characteristics and needs of the learners to create better and lasting impact.
Application of GIS and remote sensing to build up a map of environmental geological suitability for residential buildings on Thi Vai river basin

Geological environment zonation is to divide the areas into relatively homogeneous units based on their natural factors such as hydrology, topography, geology, disasters... to create geoenvironmental units which suit a specific type of exploitation for the purpose of research or regional management. This study presents a process of integrating GIS and remotely sensed data to develop a map of environmental geological zonning for the planning of development of the efective and safety construction sites. Data used in this work include Landsat 8 satellite image classified by application of Fuzzy Logic method to build the map of land use status which includes construction sites, and the GIS data including geology, topography, engineering geology and hydrogeology. The result from this process of integration is the suitability maps of appropriate units for the development of construction sites on the Thi Vai river basin. This map shows 3 different levels of geological environmental condition for development of the construction sites. This result demonstrates the efficiency of the integration of GIS and remote sensing to build tools to assist for the environmental capacity management, for data analysis, and beyond, to identify and incorporate the influencing factors to the subjects of management or research.&#x0D;
FEATURES OF PSYCHOLOGICAL SUPPORT OF SELF-AFFIRMATION OF SENIOR PUPILS

The article reveals peculiarities of psychological support of self-affirmation of senior pupils.The prevention of a number of possible problems specific to senior pupils can be realized through competent organization of psychological support of personal development.It is determined that psychological support of senior pupils should be based on the following general principles: conformity with the existing personal achievements and natural human development at this age stage; provision of mediated influence through traditional forms of person՚s activity; creation of such an environment that would promote comprehensive development, satisfaction of basic needs and realization of creative potential.It is unacceptable for parents to use authoritarian methods of education, since this gives rise to a negative reaction of the senior pupil. Parents should be able to respond timely to the needs of boys and girls and discuss personal problems without condemning the children.School psychologists need to promote constructive communication between teens and adults; to teach senior pupils to show tolerant attitude to adults; to exercise self-control of own behavior, emotions, feelings; positively self-assert in the reference environment; adequately present themselves to others; self-overcome difficulties.Teachers in working with senior pupils are advised to apply such recommendations: to introduce senior pupils with the basics of personal self-affirmation, self-development (to create the awareness of how you can manifest and present yourself, etc.); to form their belief in socially significant motives; to deepen the ability of students to self-examination, self-education; help to master the skills of self-regulation of emotions and self-control of own behavior; to promote the disclosure of effective communication skills that activate the process of self-affirmation.
Role of Social Media in Creation of Awareness for Sustainable Development Goal in Higher Education

Social media has ushered in a new age in creating sustainable development goal (SDG) especially in higher education. New media has contributed a lot in equalizing flow of information which assist in sustainable development. In developing countries like India and other south-east Asian country ICT and its associated infrastructural development has been improved rapidly to connect and reach people. The reach of this media has increased in recent times especially among college goers. Therefore, new media has the capacity to influence and set agenda with SDG in respect to education at higher level. The methodology for this research is quantitative in nature. Data collection is to be done through survey method and the respondents are chosen by simple random method. The objective of this research is to find out how student fraternity at higher education level adopt new media to het aware about sustainable development goal. The result of the research showed level of awareness about SDG among students of higher education.Through social media, a large percentage of students are participating in promoting SDG awareness unknowingly.They are not aware of the terminology like sustainable development goal but are aware of the activities which are associated with sustainable development goal.
Personalized Ranking Point of Interest Recommendation Based on Spatial-Temporal Distance Metric in LBSNs

Nowadays, with the improvement of social network check-in and positioning technology, the positioning information is more accurate, and a large amount of network check-in data is generated. The recommendation research of interest points based on social networks is also increasing. Most of the points of interest refer to rely on geography, time, space, and textual information. In spatial-temporal, most studies consider the check-in rules from the geographical distance and time series. This paper introduces a geographic spatial-temporal distance measurement model to map temporal space information into a three-dimensional elliptical spherical coordinate system. The spatial-temporal distance is measured under the same reference standard. Helps alleviate the problems caused by cold start and data sparseness for location recommendation accuracy. Based on the Bayesian personalized ranking, this paper measures the temporal and spatial distance by using a Gaussian kernel function to weight the spatial-temporal distance, and proposes a personalized ranking recommendation algorithm based on the spatial-temporal distance metric. And it performs well on both datasets and is superior to the benchmark method.
Pengaruh Motivasi Belajar dan Kecerdasan Numerik Siswa terhadap Prestasi Belajar Matematika

This research was experiment used survey method using Korelasional analysis techniques. Results of the study explained that the motivation of learning provide positive influence toward learning math achievements marked by the acquisition of koefesien determination R&lt;sup&gt;2&lt;/sup&gt; = 0.483 of significance that 48.3% of achievement can learn math variable explained by the motivation to learn. Numerical intelligence provide positive influence toward learning math achievements marked by the acquisition of the coefficient determination R&lt;sup&gt;2&lt;/sup&gt; of 0.616 has significance that 61.6% achievement learning math can be explained by the variable numeric Intelligence students. Learning motivation and numerical intelligence together gave a positive influence towards the achievements of the students learn math which is characterized by the coefficient of determination (R) 2 of 0.824 82.4% meaning the accomplishment of learning math can described by the learning motivation variables and numerical intelligence together
PRIVACY PRESERVING QUERY OVER ENCRYPTED GRAPH-STRUCTURED DATA IN OUTSOURCED ENVIRONMENT

Abstract— The expanding enthusiasm for gathering and distributing a lot of people information open for various purposes. For example, therapeutic research, showcase examination and practical measures have made significant security worries about people delicate data. To manage these worries, numerous privacy-preserving data publishing (PPDP) systems have been proposed in writing. In proposed system, the admin decides to design a smart examination system which should be conducted online. Initially, the admin allocates ten question papers for the exam. After allocation, these files should be in an encrypted form. For every file, different key will be generated and the entire folder will have single key to access .The admin shares the file to the college then they get an encrypted file as a key. This system uses a automatic technique for selecting keys randomly. That key will be merged in a QR code and if the student has registered in that college ,they can login and scan that QR code and get the key. If the entered key is correct then a request is sent to the admin. In respect to that key the admin will send the file to the student.
InterCriteria Analysis for selection of specific growth rate models of batch cultivation by Saccharomyces cerevisiae yeast for ethanol production

In this study we have developed an application of a new method for multicriteria decision analysis namely InterCriteria Analysis (ICA).The method is based on the apparatus of the index matrices and the intuitionistic fuzzy sets.The ICA has been used to evaluate and select specific growth rate models for cultivation by the Saccharomyces cerevisiae yeast.Different unstructured models Monod, Mink, Tessier, Moser, Aiba, Andrews, Haldane, Luong, Edward, and Han-Levenspiel have been considered in order to explain the cell growth kinetics.The application of the ICA for the specific growth rate of glucose has shown that there are many correlation connections between the investigated models.The models have been reduced only to Monod and Mink.Each of the two models can be used for modelling.
UPAYA MENINGKATKAN MINAT BELAJAR BAHASA INGGRIS SISWA SEKOLAH DASAR (SD) NEGERI 13 PADANG MENGGUNAKAN METODE “TOTAL PHYSICAL RESPONSE”

Generallyelementary school students tend to like learning activities with different actions and movements and like the use of visual media. Another problem that is often found in elementary school students is having a very short attention span (short attention span), so they are usually easily bored with learning activities after 7-10 minutes. The tendency of using conventional and monotonous methods given by the school to children, apparently still does not motivate students to study English regularly. Therefore, it is necessary to have innovative and creative actions to minimize the anxiety felt by the school, as well as knowing the talents and learning interests of elementary school students in the English language needs which can be applied in daily activities.
Inovasi Media Pembelajaran Keterampilan Berbicara pada Siswa Kelas Rendah SDN 01 Jekulo Kudus

Learning media is a tool that is used to help teacher in teaching-learning process. The aims of this research are: (1) explaining the kind of speaking skill-learning media innovation in lower grades students of State Elementary School (SDN) 01 Jekulo; (2) describing the implementation of speaking skill-learning media innovation in lower grades; (3) drawing out the problems faced by teachers in implementing speaking-skill learning media innovation in lower grades. This research is a descriptive-qualitative research and case study design. The methods of collecting data are observation, interview and documentation. The validity of the data by using two kinds of triangulation namely source triangulation and technical triangulation. The tecknis analysis of the data in this research is done by data reduction, dataserving and drawing conclusion. The result shows that: (1) there are two kinds of learning media innovations, they are visual media in the form of picture and audiovisual media in the form of learning video; (2) the implementation of media innovation has three phase, the first is planning, planning the appropriate media to the available material in school, the second is implementation or execution, implementing the learning media innovation that has been planned, the third is evaluation, evaluation is conducted after the learning in using media finishes; (3) problems faced by the teachers in using media which is the class control.
P. E. Alekseeva’s Bibliographic Works Revisited

The article examines bibliographic activities of P. E. Alekseeva, a major bibliographer of the Kalmyk Scientific Center of the RAS. The work provides an insight into her intensive efforts aimed to collect and preserve all publications available for the library, and describes her key bibliographic works.