Reviewerly/exHarmony huggingface dataset:
THE EFFECT OF SEMANTIC FEATURE ANALYSIS ON STUDENTS’ VOCABULARY ACHIEVEMENT AT THE SECOND GRADE STUDENTS OF SMPN 14 KENDARI

Vocabulary becomes the main problem that encountered by the students in SMP Negeri 14 Kendari. Less motivation and interest are factors that affect students in learning vocabulary. The research question of this study was “Is there any significant effect of semantic feature analysis on students’ vocabulary achievement at the second grade students of SMP Negeri 14 Kendari?” The objective of this study was to find out whether semantic feature analysis has an effect on students’ vocabulary achievement at the second grade students of SMP Negeri 14 Kendari. The population of this study was all students at second grade of SMP Negeri 14 Kendari who registered on second semester in academic year 2017/2018 with the total number of students’ were 205 students. The samples of this study were all students at class VIII.2 with total number of students are 30 and it taken by using simple random sampling. The instrument of this study was vocabulary test which consisted of 25 items (5 items matching with the synonym, 10 items matching with the meaning, 5 items complete the sentences and 5 items fill in the blank test). They were administered into two groups as the pre test and post test. The researcher used Paired Sample T-test in SPSS 16 to analyze the result of the research whether there is a significant effect of semantic feature analysis on students’ vocabulary achievement after analyzed the normality of the data in experiment class. Based on the analysis result of pre-test and post-test through SPSS in form of test, it found that the probability (Sig. 1-tailed) was 0.000 (ρ &lt; 0.05) and the calculation of tcount (10.070) was higher than ttable (1.699) in the level of significance 0.05, df = 29. It indicated that null hypothesis (H0) was totally rejected and the alternative hypothesis (H1) was completely accepted. Therefore, it can be concluded that there is enough evidence to claim that semantic feature analysis strategy has significant effect on students’ vocabulary achievement at the second grade students of SMP Negeri 14 Kendari.Keyword: Vocabulary, Semantic Feature Analysis
Preschool Teachers’ Views Related to Family Communication Activities According to Seniority Conditions

The current study was carried out to determine the views of preschool teachers with regard to the application of family communication activities.In the study, survey method was used.A total sum of 893 students participated in the study."The Questionnaire of Family Communication Activities" was applied to the teachers by the researcher.The F.TEMEL-V.BAYRAKTAR-G.GÜVEN / KAÜSBED, 2018;22; 433-458 434 items of the questionnaire were formed after reviewing the related literature.Seven instructors at working at different universities were applied for their expert ideas with regard to the items in the questionnaire and the items were rearranged.Following that, a pilot study was carried out with 120 teachers and the questionnaire was finally formed.The data obtained were analyzed in the package program of SPSS 20.00 through chi square (X2) method.As a result of the study, it was seen that there was significant relationship between teacher's seniority conditions and family communication, arrival and departure times, newsletters, phone calls, notice boards, portfolio, correspondence, photographs, school visits, audio and video recordings, brochures, booklets and activitie sample.
Modelling and implementation of 9tka game with MaxN algorithm

9tka is a board game created by Adam Kaluza. The game can be played with 2 up to 4 players, with the goal of conquering as many areas in the board as possible. The aim of this research is to implement the 9tka game into a digital game that can be played on a personal computer. The implementation will include the feature to play against computer players. The rules and game’s play of 9tka is modelled, and then implemented using Java. The Artificial Intelligence (AI) of the computer player is implemented using the MaxN algorithm, which is an extension of the minimax algorithm. Several tests were done to gauge the robustness of the implemented AI. The experiments show that the AI is capable to make a move in time less than 541 milliseconds on average, across all types of players. Moreover, from eight respondents, the average amount of human wins is 2.25 out of 5 matches, across all types of players. This shows that the implemented AI on computer player has a better chance to defeat human opponents.
Correction to: HYPE: A System of Hyperintensional Logic (with an Application to Semantic Paradoxes)

The original version of the article unfortunately contained a mistake. The author missed to mention the support by a EU-funded research network that he is involved in. See below. This work was supported by the Marie-Sklodowska-Curie Innovative Training Network DIAPHORA.
Correction to: Using the catchment-based fractal model to delineate geochemical anomalies associated with Cu-W polymetallic deposits in the Zhuxi, Jiangxi Province

The original version of this paper was published with error. Figures 3 and 4 captions were incorrectly provided thus need to switch locations. Given in this article are the corrected figure captions.
PERSUASIVE STRATEGIES USED BY THE CANDIDATES OF GOVERNOR OF JAKARTA IN THE ELECTION DEBATE 2017 ON MATA NAJWA

This research dealt with the persuasive strategies used by the candidates of the governor of Jakarta. The objectives of this study were to investigate the types of persuasive strategies used by the candidates of governor of Jakarta in the election debate on Mata Najwa 2017. The data were obtained from the persuasive strategies utterances of the candidates of Governor of Jakarta on Mata Najwa. This research applied qualitative research design. The data were collected through observation by taking video recording. The findings of this study showed that there were six strategies of persuasive strategies that utilized by the candidates if governor of Jakarta, they are consistence, authority, social-evidence, reciprocal, preference and rareness strategy. Keywords: Persuasive Strategy, Mata Najwa, Governor, Election Debate
Research on Plant Growth Simulation Method Based on ARToolkit

Augmented Reality is a new technology which can combine the real world information with the virtual world information seamless. In order to increase the sense of immersion and interactivity, thereby improving agricultural information service capabilities and expanding the exchange of seed industry exhibition and promotion capabilities, this paper provides a kind of interactive method to simulate the plant growth. Based on the target tracking localization algorithm of ARToolkit, through the relative distance positioning two rectangular markers, corresponding to different plant growth development period, the method can interact to realize the control of virtual objects, such as translation, rotation and zoom. The experimental results show that the method can simulate the true process of the wheat plant growth, that can simulate different kinds of virtual wheats. The method has a good compatibility, low requirement on the hardware, stable capability, better expansibility and transferability.
Excalibur Key-Generation Protocols for DAG Hierarchic Decryption

Public-key cryptograpy applications often require structuring decryption rights according to some hierarchy. This is typically addressed with re-encryption procedures or relying on trusted parties, in order to avoid secret-key transfers and leakages. Using a novel approach, Goubin and Vial-Prado (2016) take advantage of the Multikey FHE-NTRU encryption scheme to establish decryption rights at key-generation time, thus preventing leakage of all secrets involved (even by powerful key-holders). Their algorithms are intended for two parties, and can be reused to form chains of users with inherited decryption rights. In this article, we provide new protocols for generating Excalibur keys under any DAG-like hierarchy, and present formal proofs of security against semi-honest adversaries. Our protocols are compatible with the homomorphic properties of FHE-NTRU, and the base case of our security proofs may be regarded as a more formal, simulation-based proof of said work.
Research Methods – What Is Best for Developing and Evaluating Human Computer Interaction and Interactive Artistic Installations?

Research in human computer interaction (HCI) covers both technological and human behavioral concerns. As a consequence, the contributions made in HCI research tend to be aware to either engineering or the social sciences. In HCI the purpose of practical research contributions is to reveal unknown insights about human behavior and its relationship to technology. Practical research methods normally used in HCI include formal experiments, field experiments, field studies, interviews, focus groups, surveys, usability tests, case studies, diary studies, ethnography, contextual inquiry, experience sampling, and automated data collection. In this paper, we report on our experience using developing and evaluation methods to assess artifacts. Four defined outputs (projects) were examples of the different methods application to gather information about user’s wants, habits, practices, concerns and preferences. An interactive artistic installation, Sea Grains – an immersive poetics in interactive artistic experience, is another example of the use of research methods for development and evaluation of artifacts. The goal was to build an understanding of the attitudes and satisfaction of the people who might interact with those artifacts. Conversely, we intend to present a framework design to be applied on the design for interactive applications, to promote better user’s experiences.
Slovenian parliamentary corpus ParlaMeter-sl 1.0

The ParlaMeter-sl corpus contains minutes of the National Assembly of the Republic of Slovenia and currently covers its VIIth mandate (2014-08-01 to 2018-06-22). The corpus contains speaker metadata (gender, age, education, party affiliatiation), while the transcriptions of their speeches are MSD tagged, lemmatised, and marked with named entities.
SHAPING SKILLS OF REASONING IN ESP COURSE AT TECHNICAL UNIVERSITY

At present, the university graduates have to acquire not only profound knowledge but unique skills and competencies to be successful in the labour market. One of the main competencies of modern engineers is their proficiency to reason, to debate or to argue reasonably. The Russian tertiary education standards consider argumentation skills as a key competence for university graduates. These skills are critical for making decisions and students can develop their argumentation skills in their English classes at a technical university. The paper reviews and analyzes the issues of teaching reasoning in the ESP course. The authors share their ideas on the ESP design course applying IT tools and indicate the ways to pursue further research. To improve communicative competence in the specialist area, the authors suggest shaping the skills of argumentation through the ESP course acquisition. Teaching strategies, regarding stages of skills development, are identified. Theoretical background and literature review give grounds for designing effective assignments to promote fruitful communication and make our graduates more competitive in the workforce.
Lightweight Lexical and Semantic Evidence for Detecting Classes Among Wikipedia Articles

A supervised method relies on simple, lightweight features in order to distinguish Wikipedia articles that are classes (Shield volcano) from other articles (Kilauea). The features are lexical or semantic in nature. Experimental results in multiple languages over multiple evaluation sets demonstrate the superiority of the proposed method over previous work.
Heavy Vehicle Detection Using Fine-Tuned Deep Learning

Heavy vehicles develop technical snag and traffic jam on streets. Accidents between heavy vehicle and road users, for example, pedestrians often result in severe injuries of the weaker street users. The highway safety and traffic jams can be secured with detection of heavy and overloaded vehicles on the highway to facilitate light motor vehicles like cars, scooters. A model for heavy vehicle detection using fine-tuned based on deep learning is proposed to deal with entangled transportation scene. This model comprises two parts, vehicle detection model and vehicle fine-grained detection. This step provides data for the next classification model. Experiments show that vehicle’s make and model can be recognized from transportation images effectively by using our method. Experimental results demonstrate that the proposed detection system performs accurately with other simple and complex scenarios in detecting heavy vehicles in comparison with past vehicle detection systems.
The Influence of using Suggestopedia Method Toward Students’ Vocabulary Mastery at Eight Grade of the Second Semester in SMPN 06 Metro in Academic Year 2016/2017

English is the foreign language that we have to learn it early. Not just our country, it is very important because all of the countries use it to communicate each other. It proves that language is necessary for people to interact with other people. There are some problem formulations in this research those are “Is there any positive and significant influence of using suggestopedia method toward students’ vocabulary mastery at eight grade of the second semester in SMPN 06 Metro academic year 2016/2017?”&#x0D; The objective of this research is to know influence of using suggestopedia method toward students’ vocabulary mastery. The kind of this research is quasi experimental design. The research was conducted at eight grade of the second semester in SMPN 06 Metro academic year 2016/2017. The researcher took two classes at eighth grade as the sample, 29 as the experiment class and 29 were included as control class which were taken by using cluster random sampling. In collecting the data, the researcher used pre-test and post-test. In analyzing the data, the researcher used parametric ttest formula.&#x0D; After analyzing the result of data by using parametric formula, the researcher gets the result of tratio is 3,009 and ttable 2,66. It means that tratio &gt; ttable, Ha is accepted if tratio &gt; ttable. So, there is significant influence of using suggestopedia method toward students’ vocabulary mastery at eight grade of the second semester in SMPN 06 Metro academic year 2016/2017.
NOVEL DUA IBU KARYA ARSWENDO ATMOWILOTO : KAJIAN ANTROPOLOGI SASTRA, NILAI PENDIDIKAN KARAKTER, DAN RELEVANSINYA SEBAGAI BAHAN PENGAJARAN SASTRA DI SMA

&lt;p&gt;&lt;em&gt;Data collection techniques used in this study are documentation and in-depth interviews with informants. Data validity uses data triangulation and theory triangulation. Analysis techniques using interactive models. The main data of this research was obtained from the novel Dua Ibu by Arswendo Atmowiloto with a thickness of 300 pages. The novel is studied with a literary anthropological approach. Based on this approach, it was found that: (1) the complexity of ideas which included human relations with nature, with others, and the nature of human life; (2) the complexity of the activities that exist in Javanese society in the Dua Ibu novel; (3) the complexity of cultural results in the form of cultural results in the form of language, forms of knowledge, forms of technology, and forms of eye search; (4) the value of character education contained in the Dua Ibu novel; and (5) its relevance as literary learning in high school. The cultural life described by the author is dominated by Javanese cultural customs, namely Solo. Analysis techniques using interactive models.Conclusions from this study indicate that elements of mythology, philosophy, and Javanese culture can be used as a reference to educators, especially in Central Java for the basis of an approach to strengthen the value of the character of students and character that is in accordance with Javanese culture.&lt;/em&gt;&lt;/p&gt;&lt;p align="left"&gt; &lt;/p&gt;
Shape analysis for classification of breast nodules on digital ultrasound images

&lt;span&gt;One of the imaging modalities for early detection of breast cancer malignancy is ultrasonography (USG). The malignancy can be analysed from the characteristic of nodule shape. This study aims to develop a method for classifying the shape of breast nodule into two classes, namely regular and irregular classes. The input image is pre-processed by using the combination of adaptive median filter and speckle reduction bilateral filtering (SRBF) to reduce speckle noises and to eliminate the image label. Afterwards, the filtered image is segmented based on active contour followed by feature extraction process. Nine extracted features, i.e. roundness, slimness and seven features of invariant moments, are used to classify nodule shape using multi-layer perceptron (MLP). The performance of the proposed method is evaluated using 105 breast nodule images which comprise of 57 regular and 48 irregular nodule images. The results of classification process achieve the level of accuracy, sensitivity and specificity at 96.20%, 97.90% and 94.70%, respectively. These results indicate that the proposed method successfully classifies the breast nodule images based on shape analysis.&lt;/span&gt;
Learning computer programming for future computer teachers

The learning of programming languages is one of the needs to be addressed by every educational center, at any level of education. This article focuses on the career of Pedagogy of Experimental Sciences Degree in Pedagogy of Information Technology, University of Guayaquil, face to face and future online. Its objective was to reflect on how to start the learning of programming in the case of future computer teachers, so that it contributes to the field of educational research. This will allow the creation of viable and applicable alternatives in all informant teaching beginners, according to the current educational currents. As a fundamental conclusion, a vertical axis in the learning of programming is computational thinking, which must be treated in its essence throughout the educational process, by the teacher and the teacher.
VERIFICATION OF THE TRIANGULAR COMMUNICATION GRIDS PROTOCOLS BY INFINITE PETRI NETS

Context. Computing and communication grids are a powerful means of increasing the performance and quality of service of modern networks. In two-dimensional grids the basic cell forms are a triangle, a square, and a hexagon. Triangular grids are used insolving boundary value problems with triangular finite elements, in broadcasting systems and in television. The simplest and most efficient implementations of grids can possess hidden defects and vulnerabilities in terms of secure information exchange. Thus, theverification of grids is an urgent task.Objective. The goal of the paper is to construct the models of triangular communication grids in the form of infinite Petri nets and to investigate their properties for proving the protocols (verification) correctness.Method. Research methods are based on the basics of graph theory, linear algebra, the theoretical foundations of Petri nets, mathematical modeling and simulation. Results. A parametric description of the triangular communication grid on the plane, in a direct and a dual form, is constructed. The switching node implements full-duplex transmission and buffering of packets with a limited capacity of the internal buffer. Analytic expressions are obtained for estimating the number of model components. Solving infinite systems of linear equations in parametric form allowed us to prove the invariance of a model of arbitrary size. Invariance is one of the basic properties of the ideal protocol model which determines the safety of the network. The practical significance of the results obtained lies in the construction of safe grid schemes for further software and hardware implementation, which is officially confirmed by the inclusion of triangular grid models in the archive of Petri net models of the University Paris 6 Informatics Laboratory. Conclusions. For the first time, a mathematical model of triangular communication grids with a regular structure and an arbitrary size in the form of infinite Petri nets was constructed for verification of information transmit protocols in grids. The application of the technique for verification of triangular communication structures allows the further development of the infinite Petri nets theory for constructing and investigating models of arbitrary grids with a regular structure.
Linear Wavelet Estimation in Regression with Additive and Multiplicative Noise

In this paper, we deal with the estimation of an unknown function from a nonparametric regression model with both additive and multiplicative noises. The case of the uniform multiplicative noise is considered. We develop a projection estimator based on wavelets for this problem. We prove that it attains a fast rate of convergence under the mean integrated square error over Besov spaces. A practical extension to automatically select the truncation parameter of this estimator is discussed. A numerical study illustrates the usefulness of this extension.
IMPROVING ENGLISH SPEAKING SKILLS THROUGH SCIENTIFIC METHOD ASSISTED GRAPHIC MEDIA (Action Research at SMPN 1 Cikidang Sukabumi)

Abstract&#x0D; &#x0D; The objectives of this study were to find out the effect of implementation of scientific method assisted by graphic media to improve students' English speaking skills. The research used action research design. The subjects were 30 second year eight class students of SMPN 1 Cikidang Sukabumi. Observation, interviews, stionnaires, and documentation were employed to collect the data of the studentsâ€Ÿ learning ctivities and speaking tests were conducted to identify studentsâ€Ÿ speaking achievement. In the scientific method students carry out observing, asking, trying, reasoning and communicating activities, where these activities can train students to speak English. The implementation of this study by applying the scientific method assisted by graphic media is as much as two cycles. In the pre-action stage there were 2 students with a percentage of learning completeness of 6.7%, after the action applied in the first cycle, as many as 8 students with a percentage of learning completeness 26.7% and English speaking skills of students after the second cycle, as many as 28 students with a percentage of 93.3% learning completeness. So, it can be concluded that the scientific method assisted by graphic media can improve English speaking skills of class VIII H students of SMPN 1 Cikidang Sukabumi.&#x0D; &#x0D; Keyword: scientific method, graphic media, English speaking skill.