Reviewerly/exHarmony huggingface dataset:
THE IMPLEMENTATION OF ROLE PLAY IN TEACHING SPEAKING: An Experimental Study to The Second Years Students of Ma Putra Al-Islahuddiny Kediri Lombok Barat In Academic Year 2017/2018

ABSTRACT: This study was designed to improve the students’ speaking ability using role play.  The study was intended to describe how role play can improve the speaking ability of the second years’ student of MA PUTRA AL-ISLAHUDDINY Kediri Lombok Barat. This research was an experimental research in which the researcher employed the two group design where the control and experimental group were given pretest before treatment and posttest after the different treatment have been given. The population of this research was the second grade students of MA PUTRA AL-ISLAHUDDINY Kediri Lombok Barat in academic year 2017/2018 while the sample for this research was taken using cluster random sampling technique, then taken XI A as the experimental group and XI B as the control group. The finding of the study revealed that role play was successful in improving students’ speaking ability. Data obtained for the students’ speaking ability from the two groups were analyzed using t test formula to determine degree of significant of the differences between two groups . Based on the test data analysis found the mean score of experimental class was higher than the mean score of control class ( MX = 6, 80 > MY = 4, 86 ) then further analyzed using t test, found that t count > t table that was t count = 0,1 % or 0,99 is 2,42 and t table = 0.95 or 0,5%  is 2,68. It is found that 3, 35 is higher than 2,42 and 2,68. So level of significant and according to the existing criteria that   the   differences   between   control   group   and   experimental   group   was significant. K e y w o r d : Role play and Speaking Aability
Second Year of Using the Sidekick Basic Kit for TI LaunchPad with Elementary School Students

This paper describes a second year, follow-on study in which 4 th and 5 th grade students were exposed to engineering-related topics using a microcontroller, input/output circuitry, sensors, and the associated software coding needed to achieve a desired functionality of the hardware.The first year study was described in a paper presented at the 2017 ASEE Annual Conference.This second year study took students to the "next level," and showed very promising results.
Do we Experience Day-of-the-week Effects in Returns and Volatility of Cryptocurrency?

This present paper investigates day-of-the-week effect in some notable cryptocurrency in terms of pricing and market capitalizations. We applied fractional integration regression approach with dummies. We found non-significance of day-of-the-week effect in returns, while there is possible evidence of Monday and Friday effects in volatility of Bitcoin only. Non-significance of day-of-the-week effect in returns of Bitcoin and some other cryptocurrencies further support market efficiency of these markets.
Semi-supervised hash learning method with consistency-based dimensionality reduction

With the explosive growth of surveillance data, exact match queries become much more difficult for its high dimension and high volume. Owing to its good balance between the retrieval performance and the computational cost, hash learning technique is widely used in solving approximate nearest neighbor search problems. Dimensionality reduction plays a critical role in hash learning, as its target is to preserve the most original information into low-dimensional vectors. However, the existing dimensionality reduction methods neglect to unify diverse resources in original space when learning a downsized subspace. In this article, we propose a numeric and semantic consistency semi-supervised hash learning method, which unifies the numeric features and supervised semantic features into a low-dimensional subspace before hash encoding, and improves a multiple table hash method with complementary numeric local distribution structure. A consistency-based learning method, which confers the meaning of semantic to numeric features in dimensionality reduction, is presented. The experiments are conducted on two public datasets, that is, a web image NUS-WIDE and text dataset DBLP. Experimental results demonstrate that the semi-supervised hash learning method, with the consistency-based information subspace, is more effective in preserving useful information for hash encoding than state-of-the-art methods and achieves high-quality retrieval performance in multi-table context.
Payment Gateway on E-Canteen Website Application

The Payment Gateway system is intended to simplify the payment process from sales websites to online systems without using cash (cashless). This study discusses the implementation of the buy-sell transaction system to avoid queues in transactions using the System Development Life Cycle method. The purpose of this study is to provide a solution for students to be able to transact more easily. This application is one form of application of information technology in the financial sector that makes buyers and sellers no longer need banknotes to make transactions in a canteen environment, so they can save time and effort. Payment gateway payment system is very suitable for transactions that speed up the transaction process. By utilizing wireless technology called Near Field Communication (NFC), payments can be made only with consumer cellular devices close to the reader or canteen of the shopkeeper. And get the queue in accordance with the order.
Applications of Fiber Optic Sensor for Monitoring and Early Warning of Soil Shift on IoT based System

A fiber optic sensor system has been designed to monitor ground shift using a multimode FD-620-10 step index fiber optic cable equipped with an IoT-based data transmission system. The sensor system consists of a light source in the form of a diode laser, a fiber optic cable light wave guide, and an OPT101 photodetector. Data processing is done using the Arduino Uno R3 microcontroller and data transmission to the server using the Arduino Ethernet Shield. Localhost is a webserver that displays measurement data and sends e-mail early warning notification of ground shift hazards. Optical fiber is used to measure the value of ground displacement by utilizing changes in output voltage. The change in output voltage occurs due to variations in the change in the diameter of the optical fiber arch. The results of sensor testing obtained an average measurement error of 1.53%.
Sedimentology, Sequence Stratigraphy and Reservoir Characterization of Samana Suk Formation Exposed in Namal Gorge Section, Salt Range, Mianwali, Punjab, Pakistan

Samana Suk Formation of Bathonian-callovain age, exposed in Nammal Gorge Salt Range, has been studiedfor microfacies and sequence stratigraphic investigation. The formation is mainly composed of limestone, with minorbeds of sandstone and marl. The limestone is grey, yellowish and purple in color. Limestone is fine grained, thin tomedium bedded and inter-bedded with algal laminations. The sandstone is light yellowish brown, brick red in color,calcareous and quartzose. Within Samana Suk Formation one 2ndorder sequence and two 3rdorder sequences have beenidentified. Their regional correlation through fine-tuned dating helped to develop basin fill model and to understandfacies dynamics. A facie belt comprising a wide belt of carbonate facies characterized by Peloidal Packstonemicrofacies represents inner ramp setting and Pelletal/ Peloidal Wackstone, Mud-Wackstone and Mudstone microfaciesrepresent the low energy lagoonal environment. The sandstone lithofacies represents high energy beach environmentwhich indicates aggrading to pro-grading pattern. The porosity analysis has been done on different samples oflimestone and sandstone. For the porosity analysis the Image J software is used. In limestone the porosity ranges up to6% while in sandstone the porosity ranging up to 18%. From the field and porosity analysis it is concluded that SamanaSuk Formation in study area is good reservoir.
Intra-Department Model of University Teacher’s Motivation Management

In the context of reforming higher education, the problem of developing and implementing a new, effective management policy aimed at attracting, retaining and motivating highly qualified scientific and pedagogical personnel is of particular relevance. However, as noted in a number of studies, university teachers find themselves in a difficult situation, which is caused by a decline in public recognition of the profession value, staff shortages, turnover and aging of staff, a crisis of motivation and professional identity in higher education amid significant complications in professional activities. The current stage of higher education development is characterized by large-scale innovation processes, therefore, management of the motivation of teachers of higher education institutions should be considered as the management of motivation in the context of innovation. The basis of this approach is an orientation on creativity and stimulation of personnel’s innovative behavior. It is obvious that the task of effective management of university teachers’ motivation should be solved as soon as possible, without interrupting the professional activities and within the working teams. The article presents the experience of developing and testing a layered model of intra-departmental management of university teachers’ motivation, which is based on the idea of forming a motivated team and creating a corporate culture that will help effectively manage innovative processes at the university.
Arabic Stemmer System based on Rules of Roots

Stemmer is an automated process, which produces a base string in an attempt to represent related words, which is the main step that is used to process data in many types of applications such as text mining, information retrieval, and natural language processing. The stemmer task is to reduce words to their base. The more systems are used to analyse and understand the syntax and semantic of the documents the more accurate is the result. Arabic stemmer is not an easy task due to the morphological variants of certain words which are not always semantically related. This paper introduces an Arabic stemmer system based on Arabic rules to extract trilateral (three radicals), quadrilateral (four radicals), sometimes quintuple (five radicals) and hexagonal (six radicals) if available. In addition, it compares the Arabic stemmer with other stemmer systems, and evaluates it by four Arabic native speakers specialists where it has achieved 96.8% ratio of accuracy.
Reference couple gold deposit — placer as a basis for forecasting of the new gold deposits in Amur river basin

About 1400 placers and several dozens of ore gold deposits are known in the Amur gold-bearing province. Placers are to a large degree worked out, so the future of the province is seen to be in the discovery of the new gold deposits. The paper shows the dependence of the productivity and composition of the native gold placers on the size and formational affiliation of the placer-forming gold deposit. The reference couples have been identified: the gold deposit and the placer formed due to the erosion of its' upper part. For example, the Tokur gold-quartz deposit is a channel-fill placer in Tokur stream, gold-sulphide-quartz deposit Pioneer—the placer in Ulungi river, gold-sulphide-quartz deposit Bamskoe—the placer of Chulbangro river, Berezitovoye gold-polymetallic deposit—placer of the Konstantinovsky stream and gold-silver field Pokrovskoye—placer of Sergeevsky stream. A forecast of new gold deposits of a certain formation has been made according to the parameters of the placer and the composition of the native gold. A similar selection of reference couples of a gold deposit and a placer with the subsequent forecasting of new deposits can be one of the methods for predicting gold deposits in the other gold-bearing provinces.
When #MeToo affects YouToo

The public demands higher standards and levels of trust for higher education. Sadly, it's easier to believe the bad news than it is to hope for the good.
The “I” in government archives: the individual as stakeholder

Purpose The purpose of this paper is to discuss the critical reasons why citizens need government archives, with an elaboration on why managing electronic records is crucial. Design/methodology/approach The paper offers a philosophical framework that argues that not managing records harms individuals. Examples from several countries are reviewed to find the relevance of the records relationships between people and governments, and the nexus between human rights and archives through an examination of the first three articles of the Universal Declaration of Human Rights is analyzed. Findings The paper identifies a strong relationship between human rights and archives and the way lives are reflected in the records in government archives. This reinforces the argument that governments need clearly established and legally empowered archival institutions. Originality/value Critical examination of the “I” in government archives is relatively rare in the literature, particularly when linked to the human rights implications of government records. The study is a constructive beginning for further academic discussions to explore this dimension, which in turn is related to both the efficiency of governance and the public trust in government.
Politeness strategies in children communication at Indonesian religious kindergarten

Politeness is a sociolinguistic phenomenon related to speaking manner that exist around the world. This paper aims to analyze the politeness strategies in children communication which focuses on linguistic responses by children both male and female students in range age of 4 to 6 years old. It employs a descriptive qualitative study which is based on theory of politeness strategies by Brown and Levinson (1987). It was applied in analyzing the politeness strategies which children used in speaking at the classroom communication while they were doing assignment. The subject of the research is students of Indonesian Religious Kindergarten of TK AisyiyahMannuruki, Makassar. Voice recording and observation were chosen as the instruments for collecting the data which were then analyzed using sociolinguistic discourse analysis approach. The result of the study demonstrates that 1) Types of politeness strategies in children communication at Indonesian Religius Kindergarten are positive and negative politeness, particularly the use of address forms in-group identity markers, joke, seeking agreement, the first plural inclusive pronoun –ki and second person pronoun –ko, answering question by saying iyo, and confirming statement. 2) Factors influencing the use of those politeness strategies are the listeners’ status, age and behavior as well as the topics of conversation. This paper is expected to be useful information for teachers in recognizing children’s characteristics in learning process, particularly children linguistic politeness strategies.
Comparison of the Non-personalized Active Learning Strategies Used in Recommender Systems

The study of recommender systems is essential nowadays due to its great effect on businesses and customer satisfaction. Different active learning strategies were previously developed to gain ratings from the users on specific items, and this enables the system to have more information and consequently make more accurate recommendations. In previous studies, these strategies were evaluated using a different selection of metrics in each work, and the experimentations were done on different datasets. In this paper, we solve these weaknesses by comparing the main ten non-personalized strategies on a fair ground, by simulating them against two datasets and using seven of the mostly agreed upon metrics. This gives more trust and less biased results when comparing their performances. Also, the analysis of the computation time and the elicitation efficiency is added.
Hubungan Kecerdasan Emosional dengan Hasil Belajar Biologi Siswa Kelas XI IPA SMA Negeri 1 Tanete Rilau Kabupaten Barru

Abstract. This research is a correlational research that aims to determine the relationship of emotional intelligence with student biology learning outcomes. This research was conducted at SMA Negeri 1 Tanete Rilau of Barru District. Population in this research was class XI IPA SMA Negeri 1 Tanete Rilau, with total of sample are 60 students selected by random sampling technique that was random sample determination. The research instrument in question is a questionnaire of students' emotional intelligence and learning outcomes on the material of the respiratory system, digestive system and excretion system. Data analysis technique used is descriptive analysis and inferential analysis using normality test, linearity test and correlation test using Product Moment Correlation. Based on the results of data analysis using SPSS obtained a significance value of 0.006 &lt;α (0.05) indicated that there was a relationship between emotional intelligence and student learning outcomes. Based on the data analysis, it can be concluded that there was a relationship between emotional intelligence and biology learning outcomes student class XI IPA SMA Negeri 1 Tanete Rilau Barru District. Keywords: emotional intelligence, learning outcames, relationship
One of the Smote_rf’s Gender Prediction Methods in Recommendation System

With the rapid development of the Internet, leading to the problem of information overload, how to find the satisfied demand from the overloaded information becomes an urgent problem to be solved, which leads to the emergence of a recommendation system. In order to solve the problem of the lack of sex of the user and the imbalance of existing samples in the recommendation system, this paper proposes to combine the smote with the random forest to forecast the gender. Compared with other models, the experimental results show the effectiveness of the proposed method by conducting experiments on real e-commerce platform data.
Chess Endgame News: 7-man ‘Syzygy’ DTZ 50 ″ EGTs

A major achievement in 2018 has been the production of 7-man Syzygy ‘EGT’ endgame tables to a metric given the label DTZ50 here. This resulted from a fine collaboration between Bojun Guo and Ronald de Man, evolving the latter’s code to manage the issues of meeting the larger 7-man challenge.
Region of interest and color moment method for freshwater fish identification

One of the important features in content based image retrieval is color feature. The color feature is the most widely used visual features. Extracting feature image depends on the problem to identify the region or object of interest that is complex in content. This paper presents a methodology to recognize certain freshwater images using region of interest and color feature. In this work, we have considered 7 varieties of freshwater fish, Gourami, Mas/Common carper, Mas Orange, Mas Kancra, Mujair/Java Tilapia, Nila/Nile Tilapia, and Patin. Each variety consists of 20 images. We deployed Color Moment Feature after Region of Interest process to extract the feature. Euclid is used for recognition. Considering only a feature, the classification accuracy of 89% is obtained using color moment. The research technique shows promise for eventually being able to do so, and for the future will help to get important information from the image.
Quantifying the relative incompatibility of quantum observables

Motivated by quantum resource theories, we introduce a notion of incompatibility for quantum measurements relative to a reference basis. The notion arises by considering states diagonal in that basis and investigating whether probability distributions associated with different quantum measurements can be converted into one another by probabilistic post-processing. The induced preorder over quantum measurements is directly related to multivariate majorization and gives rise to families of monotones, i.e., scalar quantifiers that preserve the ordering. For the case of orthogonal measurement we establish a quantitative connection between incompatibility, quantum coherence and entropic uncertainty relations. We generalize the construction to arbitrary POVM measurements and report complete families of monotones.
Computing Nonoverlapping Inversion Distance Between Two Strings in Linear Average Time

Biological events like inversions are not automatically detected by the usual alignment algorithms. Alignment with inversions does not have a known polynomial time algorithm and Schöniger and Waterman introduced a simplification of the alignment problem with nonoverlapping inversions, where all regions will not be allowed to overlap. They presented an algorithm to compute nonoverlapping inversion distance between two strings of length n. The time and space complexities were improved to and later by Cho, Vellozo, and Ta. In this article, a linear space and linear average time algorithm to compute the inversion distance between two strings of the same length is presented. The recursive formula for this purpose is new to the best of our knowledge. The space costs of the algorithms to solve the same problem are quadratic in the literature, and thus our original algorithm is the first linear space and linear average time algorithm to solve the inversion distance problem.
A comparison between the use of mistake buster technique and online grammar instruction in teaching grammar

This research aimed at finding out the technique which was more effective in improving students’ grammar achievement, mistake buster technique or online grammar instruction. The research employed a quasi-experimental research method. The sample consisted of 30 students. The technique of taking sampling was cluster random sampling. The research data were collected by using a grammar test to see the students’ grammar mastery and the data were analyzed by using inferential statistics through SPSS 17.0. The research result indicated that the use of online grammar instruction was more effective than mistake buster technique in improving grammar mastery of the third semester students of State Islamic Institute of Palopo in academic year 2017/2018. It was proven by the students’ posttest mean score for online grammar instruction group is higher than the students’ posttest mean score for mistake buster technique group (69.96 > 51.30). The difference of those mean score was statistically significant; it was based on t-test value, the probability value is lower than significant level (0.00 < 0.05). Based on the researchers’ observation, the students in online grammar instruction group have been more active and fun rather than the students in mistake buster technique group
HABKS: Hierarchical Attribute-Based Keyword Search on Outsourcing Data

Searching over encrypted data is a critical operation to enforce the encryption-before-outsourcing mechanism, which is a fundamental solution to protect data privacy in the untrusted cloud environment. However, most of the existing searchable encryption solutions suffer from the problem of key management and the problem of flexible and fine-grained access control in multi-data owners and multi-data users environment. Therefore, we propose a hierarchical attribute-based keyword search (HABKS) scheme. Our scheme not only realizes the order management of the key because of its hierarchical structure, but also implements a flexible and fine-grained access control depending on CP-ABE for encrypting keywords indexes and data files. We formally prove the security of HABKS, and then analyze the performance of HABKS. Finally, we implement HABKS scheme with comprehensive experiments. Experiment results show that it is efficient and flexible for searching encrypted data in cloud.