Reviewerly/exHarmony huggingface dataset:
Sistem Akuntansi Penjualan Kredit Koperasi Karyawan PT. PLN (Persero) Unit 3 Cirebon

Daya Lisna Sutera Cooperative is a cooperative for employees and retirees at PT. PLN (Persero) Service Unit 3 Cirebon. This cooperative is located at Jalan Tuparev No.100, Cirebon city. Members of this cooperative consist of active employees and retired employees of PLN 3 Cirebon service unit. Active employees are required to become members of the cooperative, while retired employees are not mandatory. This cooperative business activity accommodates members' deposits, distributes loans to members, provides credit sales of necessities for members, and provides vehicle rental services. There are still some company recording activities that are done manually, namely recording sales and savings and loans using the excel application. This study aims to create a credit sales accounting system that is expected to be better and more efficient, so that bookkeeping reports can be done faster and increase the effectiveness of the company, both from procedures, documents, and supporting records required by cooperatives. This system produces the output of Credit Application Letters, Sales Reports, Accounts Receivable Reports, Payment Reports, Official Notes, and Journals. Keywords: Accounting System, Cooperative, Sales, Credit
Facial Expression Recognition System

A significant subject in the field of computer vision and artificial intelligence is outward appearance acknowledgment. There are two mode of correspondence one is verbal, and another is non-verbal [Xiaoxi, M., Weisi, L.: Facial emotion recognition. In: IEEE 2nd International Conference on Signal and Image Processing (2017)]. Among verbal and non-verbal methods for correspondence, outward appearance is non-verbal methods for correspondence. Outward appearance assumes a crucial job which encourages human to communicate their feelings, express their emotions, psychological wellness, viewpoint, and so on [Kaur, M., Vashisht, R.: Comparative study of facial expression recognition techniques. Int. J. Comput. Appl. (2011)]. Understanding gets simpler when human and computer interact with each other if computer can react to non-verbal correspondence of human which is only feelings communicated. In this paper, a calculation is introduced for object discovery dependent on Viola–Jones algorithm. In this paper, there are introduced the consequences of acknowledgment of seven emotion states (neutral, happy, sad, fear, disgust, fear, surprised) in view of outward appearances. The grouping of the highlights was performed utilizing managed learning strategy, i.e., convolutional neural network (CNN).
Long-Range Seasonal Forecasting of 2m-Temperature with Machine Learning

A significant challenge in seasonal climate prediction is whether a prediction can beat climatology. We hereby present results from two data-driven models - a convolutional (CNN) and a recurrent (RNN) neural network - that predict 2 m temperature out to 52 weeks for six geographically-diverse locations. The motivation for testing the two classes of ML models is to allow the CNN to leverage information related to teleconnections and the RNN to leverage long-term historical temporal signals. The ML models boast improved accuracy of long-range temperature forecasts up to a lead time of 30 weeks for PCC and up 52 weeks for RMSESS, however only for select locations. Further iteration is required to ensure the ML models have value beyond regions where the climatology has a noticeably reduced correlation skill, namely the tropics.
Comparative Study on the Deep Learning Algorithms

Abstract: Deep Learning methods have paved the way for elevating the future technology that is capable of changing the world. In modern times, size of data is increasing with the level of application. Deep learning enables the huge dataset to process the highly optimized algorithms with high accuracy as well as within low time. The network architecture of deep learning works similar to human brain nerves. The network accepts the input dataset and convert the data into matrix form that passed through multiple layers in which, each layer upgrade the data to deliver the prediction or classification at the end. Researchers explored the numerous deep learning models that portrayed an inspiration for developers and benefitted in the field of voice recognition, language translation, image categorization, stock market prediction etc. The concern behind the model is to effectively resolve the numerous tasks which need to distributed representation and human intelligence. The highly advanced processors like CPU and GPU has too enhanced the deep learning application through fast matrix calculations and image processing. We will take the sample of wind dataset and used it for comparing the different Deep Neural Network (DNN) artificial algorithm. Keywords: Analysis, comparison, deep learning, training, prediction.
THE EFFECT OF BUZZ GROUP TECHNIQUE TO THE SECOND GRADE STUDENTS’ SPEAKING AT MA SEJAHTERA PARE 2017/2018

Talking about speaking, when people need to good in speaking, they have to involve the five components such as good pronouncation, correct grammar, right vocabulaty, able in fluency and comprehension. But many students in learning English especially in speaking, they got some difficulties. In this study, to overcome the problems of speaking such as, fluency, pronouncation and vocabulary. Using Buzz Group, the writer can solved their problems. Because, Buzz Group is a small group assembled to work on a problem and report solutions. By gathering, the students can share their ideas with others in a group. So, the students can improve their ideas. Therefore, the aim of this research is to find out any effect to the second grade students’ speaking at MA Sejahtera Pare in academic years 2017/2018. This research uses experimetal quatitative with onegroup pre-test and post test as research design. The subject of this research is 20 students that consist of 11 males and 9 females of second grade students’ speaking at MA Sejatera Pare. The data was analyzed by using t-test. The result of data analyzed shows that the mean score of post test ( 84.4 ) is higher that pre-test ( 68.2 ) and t-test ( 26.23 ). Thus, the Ha is accepted and Ho is rejected. Moreover, it shows that the t-score ( 26.23 ) is higher than t-table ( 2.093 ) at the degree of significance 5%. In the effect of very significant. It can be concluded that using Buzz Group Technique gives significant influence towards the students’ speaking especially in fluency, vocabulary and pronouncation. But, there was one component that proven higher than the others. It was fluency.
La glottogeragogia e l’invecchiamento della memoria. Uno sguardo di insieme

Aging has long been thought as the phase of life of the inevitable deterioration of memory. Therefore, learning was considered problematic if not impossible since aging is the phase characterised by what was called “global cognitive decline”. Nevertheless, since the middle of the past century, the state of memory in the elderly was deeply reconsidered. Seeing as memory is made up of different processes which interact each other affecting several brain areas, there is no unitary aging of memory in the elderly. Some types of memory are very sensitive to aging, while others are preserved very well and show no signs of impairment. Then, fom the point of view of language education of the elderly, it is necessary to know the different features of the aging of memory in order to prepare teaching activities and educational paths that take into account the specific characteristics and changes that affects memory over the years. This paper will describe important aspects of the education of the elderly and the features of the aging of memory fundamental for the development of a language education model for the elderly.
The Effective Work Priority Decision Method Using TOPSIS and PROMETHEE for SMEs

Background/Objectives: Today, with the arrival of the Fourth Industrial Revolution, the company's production environment is rapidly changing. Customer requirements are becoming more diversified and product life cycles are shortening. In this paper, we propose a decision support system suitable for SMEs.Methods/Statistical analysis: In this paper, we selected the priorities through the TOPSIS method and the PROMETHEE methodology, which are based empirical knowledge of field production managers, among the existing multi attribute decision making method and compared with the existing dispatching rules. Findings: We compared the effort and time required to assign work priorities by reflecting the rapidly changing order environment of small and medium-sized manufacturing companies as scenarios. In particular, we analyzed the performance of each methodologies finding work priorities based on new orders or change of delivery dates. The result of simulation analysis on the deadline delays which SMEs consider the most important factor as follows. PROMETHEE was lowest as 268.78 min/month while TOPSIS was 421.39 min/month, the FIFO rule was 466.64 min/month, the SPT rule was 496.17 min/month, and the LPT rule was 602.07 min/month. As a result, the application of the PROTMETHEE reduces the manufacturing lead time by approximately 252.85 min/month on average, over the FIFO, SPT, and LPT rules used in existing companies. In addition, the average manufacturing lead time was reduced by about 100.24 min/month than the SPT, LPT, and FIFO rules.Improvements/Applications: As a result, by using both PROMETHEE and TOPSIS, it is possible to reduce the tardiness time by about 176.54 min/month compared to the existing dispatching rules..
The Effect Of SMART (Self Monitoring Approach To Reading And Thinking) And Self-Efficacy Toward The Reading Skill On Narrative Texts On First Grade Students Of SMAN 10 Pekanbaru

In teaching reading, teaching strategy and students’ self-efficacy influence students’ reading comprehension. The research was conducted to find out the effect of SMART (Self Monitoring Approach to Reading and Thinking) and students’ self efficacy on students’ reading comprehension of narrative texts. The design of this research was quasi experimental with 2x2 factorial design. The population of this research was the first grade students of SMAN 10 Pekanbaru, 2015/2016 academic year. Reading comprehension test and self-efficacy questionnaire were used as research instruments. Then, the data were analyzed using t-test formula and two ways Anova.     The result of this research shows that (1) students who were taught by using SMART (Self Monitoring Approach to Reading and Thinking) had better reading comprehension of narrative texts than those who were taught by using Small Group Discussion. It was proven by result of t-test which showed that tobserved (2.23) was bigger than ttable (1.989), (2) students who had high reading self-efficacy taught by using SMART (Self Monitoring Approach to Reading and Thinking) had better reading comprehension of narrative texts than those who were taught by Small Group Discussion, (3) students who had low reading self-efficacy taught by using SMART (Self Monitoring Approach to Reading and Thinking) had better reading comprehension of narrative texts than those who were taught by Small Group Discussion, and (4) there was no interaction between both strategies and students’ self efficacy toward students’ reading comprehension, where Fobserved (0.69) was less than Ftable (3.23). As conclusion, SMART (Self Monitoring Approach to Reading and Thinking) had a significant result on students’ reading comprehension than Small Group Discussion and there was no interaction between teaching strategies and reading self-efficacy on students’ reading comprehension.
Организация работы Тверского губернского архивного бюро с документами военных организаций, эвакуированными в Тверь в 1914–1917 гг.

The article considers what the Tver Provincial Archive Bureau (gubarkhbyuro) did in 1919–1923 to identify and organize the documents of the military units and military organizations evacuated to Tver in 1914–1917 in  connection  with  the  military  operations  on  the  territory  of  the  Russian Empire. The revolutionary events of 1917 prevented the timely transportation of  the  document  complex  to  Petrograd;  so  the  documents  remained  in  Tver, Bezhetsk and Rzhev in an unsystematic form and undescribed form, without being provided with the satisfactory storage conditions. The article describes the actions of the Tver gubarkhbyuro to search for the documents and organize their acceptance for state storage. In the research process, the composition of the  existing  document  complex  was  analyzed:  in  addition  to  the  documents of  the  military  organizations  from  the  territories  left  by  the  Russian  army, the  documents  of  the  Russian  Empire  civil  organizations  that  operated  on the  territory  of  modern  Belarus,  Lithuania  and  Poland  were  evacuated.  The documents  were  provisionally  combined  into  a  complex  on  the  territorial principle  as  the  documents  of  the  organizations  operating  in  the  Kovno  and Vilna provinces. The  article  also  attempts  to  trace  the  fate  of  the  documents  received  for state storage. In 1921, part of the funds of the institutions of the former Russian Empire  operating  on  the  territory  of  the  Kovno  Province  was  transferred  to the  Lithuanian  Government.  That  complex  consisted  of  the  documents  of civil  organizations,  whereas  the  documents  of  military  units  and  military organizations remained in the archives of Tver until 1926.
Application of SQL in hospital statistics

in hospital statistics, due to the difference of data query language, the hospital statistical results are often quite different from the actual data.Therefore, the application of SQL in hospital statistics is proposed.Use java + spark SQL to read the data information to be counted in the hospital, and have an in-depth understanding of common basic tables and fields, so as to facilitate the smooth completion of subsequent statistical work.Using structured query language, the statistical indicators such as postoperative complications, disease ranking and workload of the surgeon are written into SQL statements, and finally the SQL statement integration results are presented in the form of tables.The experimental results show that compared with the two statistical methods proposed in the literature, the statistical error is reduced by 30.25% and 35.61%.
Mining and analyzing of web data using Composite Boyer Moore

The extraction of web information is one of the specific examination fields in modern times. Anenormous measure of online data can produce proficiently and adequately by using the web information deliberation system. In this paper, another string design pattern with the count is used for website data study that collects the info proficiently. The study includes some steps: particular website sliding, searching data patterns for knowledge coverage, designing query forecast, placing the coordinated information and distributing the data. It is seen that the proposed Enhanced Boyer Moore algorithm is a mixed version of Boyer Moore and is more efficient and accurate.
An Analysis of Students’ Anxiety Factors in Speaking at Eighth Grade Students of MTs Negeri Tanjungpinang

Speaking is one of the important parts in English skills that should be mastered by students besides reading, writing, and listening. The function of speaking skill is to express an idea, someone feeling, though, and it expresses spontaneously by orally. As language learners who had learned English intensively, the students should be able to interact orally with each other through English. The purpose of this research was to identify the factors that contribute to students’ف anxietyف inف speakingف English. Therefore, the researcher conducted a qualitativeفstudyفanalysisفofفstudents’فanxietyفfactorsفinفspeaking.فTheفresearcherفconducted research based on one research question. The research question is “Whatف are theف factorsف ofف studentsف anxietyف inف Speaking?”ف Based on the research question,ف theف resultف ofف theف researchف hasف shownف thatف someف factorsف ofف students’فanxiety in speaking of MTs Negeri Tanjungpinang. Next, the researcher finds the factorsفofفstudents’anxietyفinفspeaking.ف First,فfactorsفanxietyفinفspeakingف comes from the teacher such as speaking in front of the class, and factor of teacher personality attitude. Second, factors anxiety in speaking comes from students such beingفlaughedفatفbyفotherفstudents,فstudents’فbeliefsفaboutفspeaking,فandفfactorفofفlack preparation.
Moral Violation With and Without Physical Impurity Modulates Fairness Consideration: Evidence From EEG and ERP

The stable neural networks are the models where their variables and parameters remain bounded through the time and where the overfitting is avoided. A model with overfit has many parameters relative to the number of data, and it has poor predictive performance because it overreacts to minor fluctuations in the data. This paper presents a method to obtain a stable algorithm for the learning of a radial basis function neural network. The method consists of: 1) the radial basis function neural network is linearized, 2) the algorithm for the learning of the radial basis function neural network is introduced, 3) stability of the mentioned technique is assured, 4) convergence of the suggested method is guaranteed, and 5) boundedness of parameters in the focused technique is assured. The above mentioned method is applied for the learning of two mechatronic processes.
RPGLite player data and lookup tables

Player data, game data and user interaction data for the mobile game RPGLite (available on Android and iOS). Data is given in JSON with attributes described in the README. Also included is the action and state lookup tables which show the optimal actions, position strength and can be used to calculate action-costs.
Identification and Learning Services Of Gifted Students In Inclusion Schools

Gifted students are children with special needs who are entitled to special services to develop their academic potential. Inclusion-based schools are an education system that is considered capable of fulfilling access to quality education for all, including gifted students. This study aims to describe the implementation of identification and education services for gifted students in inclusive schools in Banjarmasin, Indonesia. This study uses a qualitative approach with a descriptive type of research, data sources or informants in this study are teachers in inclusive schools at the elementary, junior high, and high school levels in the city of Banjarmasin. Determined through purposive sampling technique. Data collection was carried out using in-depth interview techniques and documentation. Furthermore, the data were analyzed through the interactive data analysis model of Miles and Huberman which consisted of three stages, namely, data reduction, data display and data interpretation. The data validity technique used source triangulation and member check. The results showed that the identification of gifted students in an inclusive school in the city of Banjarmasin, Indonesia was carried out based on the value of learning outcomes and performance shown by gifted students in the classroom, identification was carried out without IQ tests and standardized instruments. As for gifted students identified through the value of learning outcomes and performance in learning have not received special services according to their needs, the learning program is given the same as students in general, considering that the resources in inclusive schools do not yet have the understanding and skills in making curriculum modifications for gifted students.
Elliptic Curve Cryptography over Gaussian Integers

Thus far, we have reviewed the point multiplication \(k\cdot P\) according to ( 2.9) with the binary expansion of the key. In this chapter, we alternatively consider the \(\tau \)-adic expansion of the integer k with a non-binary basis \(\tau \). We call the scalar multiplication with a point on the elliptic curve a complex point multiplication if the basis \(\tau \) is a complex number such as a Gaussian, Eisenstein, or Kleinian integer [33, 88]. Non-binary expansions were proposed to speed up the point multiplication [30–32, 34–36]. Moreover, it was demonstrated in [22, 27, 29, 32, 34, 36, 75] that non-binary expansions are beneficial to harden ECC implementations against SCA [14, 25–28]. Implementations of the elliptic curve point multiplication are prone to SCA. There exist different attacks on the point multiplication in the literature, such as TA, SPA, DPA, RPA, and ZPA [14, 25–28].
Educational technology and its impact on the efficiency of the educational process in higher education

This study aims to reveal the impact of educational technology on the efficiency and improvement of the educational process at Aqaba University College. The study followed the descriptive-analytical approach, and a random population consisting of twenty-seven (27) faculty members were selected to represent the sample community. The independent variable in this study is the education technology, while the dependent variable is the educational system. The questionnaire is distributed among all selected twenty-seven faculty members for data collection, and the SPSS software is used to analyze the data. The analysis of the study found that educational technology has a positive impact represented in the highly improved educational process at Aqaba University College. At the same time, the challenges were the material resources needed for educational technology.&#x0D; Keywords: Information technology; Communication; Efficiency of the educational process; Educational technology; Education system