Reviewerly/exHarmony huggingface dataset:
Resource Interoperability: Exploiting Lexicographic Data to Automatically Generate Dictionary Examples

This paper describes the different design and development stages of the MultiGenera and MultiComb prototypes for the multilingual automatic generation of dictionary examples that contain nominal argument patterns at the phrasal and sentence levels. The main objective of MultiGenera is the development of a simulator for the automatic generation of phrases in Spanish, German and French, which is based on the argument patterns of ten valency nouns. The second one, MultiComb, aims to automatically generate the phrasal and sentence contexts of the previously selected nouns in MultiGenera. In the present study we focus on the description of resource interoperability and a set of tools developed to support the methodology of both projects.
The Use of Schema Activation Strategy in Teaching Reading Comprehension at The Second Grade Students of Islamic Junior High School

Reading is one of the important skills that the students have to master. However, many students have difficulties in comprehending the reading text. To solve this condition, the researcher used schema activation strategy to help students understand reading comprehension. The purpose of this research was to investigate whether the use of schema activation strategy is effective or not in teaching reading comprehension at the second-grade students of MTs Tarbiyatul Mustafid. This study was quasi experimental design using two classes were VIII-B class was taken as an experimental class and VIII-A was taken as control class. The population of this research involved 60 students from the second grade in MTs Tarbiyatul Mustafid Batu Rimpang. By using purposive sampling, the researcher took the students as a sample. In collecting the data, this study used pre-test, treatment, and post-test as the data collection procedure then followed by analyzing the data by using t-test formula. Then the result of statistical analysis of t-test in this research was 2.85. It was higher that critical values for t- table in degree of freedom (df) of 58 is 2.021 (0.05%) and 2.704 (0.01%). The researcher concludes that mean score before and after taught by using schema activation strategy has difference. It means the alternative hypothesis (ha) was accepted. The use of schema activation strategy in teaching reading comprehension at the second grade students of MTs Tarbiyatul Mustafid Batu Rimpang is effective.
Automated Proof Search System for Logic of Correlated Knowledge

Logic of correlated knowledge is one of the latest development in logical systems, allowing to handle information about quantum systems.Quantum system may consist of one or more elementary particles.Associating agent to each particle, we get multi-agent system, where agents can perform observations and get results.Allowing communication between agents, correlations such as quantum entanglement can be extracted.This can not be done by traditional epistemic logic or logic of distributed knowledge.Our main scientific result is proof search system GS-LCK-PROC for logic of correlated knowledge, which lets to reason about knowledge automatically.The core of the system is the sequent calculus GS-LCK with the properties of soundness, completeness, admissibility of cut and structural rules, and invertibility of all rules.The ideas of semantic internalization are used to get such properties for the calculus.The calculus provides convenient means for backward proof search and decision procedure for logic of correlated knowledge.The procedure generates a finite model for each sequent.As a result we get termination of the proof search and decidability of logic of correlated knowledge.
An Analysis of the Relationship between Risk Management and Commercial Banks Performance in Jordan and the Role of the Corporate Governance and Customer Relationship Management

The objective of the present article is to examine the Corporate Governance (CG) activities in the commercial banking sector in Jordan and to investigate if any challenges are linked with the banking sector in adopting CG practices and how it helps them to manage risk and build customer relationship.The study uses empirical research approach by adopting secondary source for collecting data.Annual reports, online authentic news articles, past studies and customers reviews are used to investigate the topic of the study and reach the study objectives.The findings of the study reveal that the execution of CG practices in the banking sector is demonstrated as the most essential aspect because it helps to build the positive relationship with the stakeholders and help the banks to mitigate risk and use resources effectively.This study will add in the body of literature for the future researchers and facilitate the policy makers, and investors to understand the efficacy of CG activities in the context of Jordan commercial banks using stakeholder theory and institutional theory as a theoretical framework.
Is Foreign Direct Investment Inflow Market Seeking in Nigeria? An Error Correction Model Approach

The aim of this study is to examine the critical macroeconomic variables that determine the inflows of FDI in Nigeria over the period of 1990 to 2017 which past studies have not fully explored.Consequently, the study utilized data from UNCTAD World Bank database and CBN Statistical Bulletin and error correction model was used to address the objective of this study.However, the following are the crucial findings that originated from this study.The following are the crucial findings that the study discovered.The error correction term indicates that about 22% of total disequilibrium due to external shock in the previous year is corrected in the current year.The principal driver of FDI inflows in Nigeria is growth rate of the economy.While, market size only caused an insignificant FDI inflow in the short run.Therefore, FDI inflow in Nigeria is not market seeking.Furthermore, based on these findings, this study makes the following recommendations for the policy makers in Nigeria.The policy makers should embark on holistic approach that has the capacity to expand the country`s market size and ensure a double-digit growth rate of the economy.In the same vein, the policy measures that would guarantee sustainability of the FDI inflows through market size and growth rate of economy in the long run should be put in place by the policy makers in Nigeria.
Application of Self-Constructed Corpus in the English Writing Course

The corpus constituents are actually the miniature of language.As the computer technology continuously progresses, corpus-based research proves increasingly applicable to language teaching and learning.As a free corpus analysis software program designed specifically for use in the language classrooms, AntConc provides the users with a powerful toolkit with various features to analyze the loaded written texts.Basic functions like the concordance tool and cluster sections of Antconc demonstrate the possibility to assess the performance of students' language proficiency.Considering the fact that IELTS is widely recognized as a standardized test and a big number of Chinese students are preparing for it in order to study abrord, the present study managed to built a self-constructed corpus of students essays in the English writing course.By means of the sophisticated coding and tagging systems, we obtained a set of standard text materials attached with the label of part of speech.Based upon the data analysis of the students' IELTS writing samples against the modal essay corpus, we conducted the corresponding evaluation of students' lexical resource and offer further suggestions and tailor-made solutions in order to help students improve their writing ability.Under the help of the model essay corpus, students might obtain useful instructions, increase grammar diversity and accuracy, thereby become more competent writers.Our study added more evidence to the conclusion that corpus has a great potential to fundamentally change the ways we approach language education.Apparently, teachers working with highly proficient students from diverse backgrounds need to be informed about the latest corpus tools for a more fine-tuned or specifically tailored application in their writing course.
A Study of Semiotic and Linguistic Gap Between the Meaning and the Usage of Emoticons in Pakistani Society

Current research deals with the semiotic and linguistics gap between the actual meaning and the usage of Emoticons in Pakistani society. This study aimed to find out the gap between the meaning and the use of Emoticon and to examine the use and place of Emoticons as a form of language. This research also aimed to identify whether men or women tend to use Emoticons more frequently. To analyze the gap, a survey questionnaire was used having 45 questions as tool for collecting data from mobile phone users and 05 conversations have been analyzed using content analysis technique. According to the results, mobile phone users use Emoticons in their conversations without knowing what they mean, whether they have any referential or literal meaning or which conceptual categories they denote, they do not know the answers to all these questions. This research tried to give valuable suggestions in order to solve the problems of using Emoticons without proper understandings. On the basis of findings, it is suggested that Emoticons must not give false and fake expressions rather these Emoticons should prevent misapprehension and confusion and should be aligned with the receiver.
THE EFFECT OF USING ENGLISH SONGS ON THE STUDENTS’ SPEAKING SKILL

The objective of the study was to get the empirical data about the effect of using song on students’ speaking skill at the second year students of SMP Negeri 1 Mila, Pidie. The method of this study was quantitative method. To get the sample, researcher used random sampling as the technique. The sample of this study were class VIII.B as the experimental class and VIII.A as the control class. Both of the class were consisted of 22 students. In collecting the data, the researcher conducted pre test and post test by asking students singing songs. In the control class, the result of pre test(x1) score was 1285. The result of post test(x2) score was 1462. The gained(dx) both of pre test and post test was 182. The mean(Mx) score was 8,2. in the experimental class, the result of pre test(y1) score was 1190. The result of post test(y2) score was 1608. The gained(dy) both of pre test and post test was 418. The mean(My) score was 19. The testing of hypothesis was analyzed using t-test formula. The result ttest (t0) both of the classes was 3,14. The result of this study showed that there was significant difference on students’ speaking skill that was taught by using English song. In the table of significance, it could be seen on the significance degree or ? = 0.05 and df=42. The ttable (t095(42))=2,68. Then, by comparing the result t0 is bigger than ttable, that is 3.14 2,68. The hypothesis (Ha) was accepted and the null hypothesis (Ho) was rejected. It can be concluded that the using of English song was effective in teaching speaking.Key words: Speaking, English song.
Two Maps of Rainfall. Semiotic Analysis of Data Visualisation

The article offers a comparison of two visual texts, maps which use different means of expression to visualize a single phenomenon, namely the projected change in rainfall in Europe in the period from 2071 to 2100. These are projections of qualitative data that reflect the relation between a natural phenomenon and a particular geographic location. Rainfall described in figures is presented to the viewer via graphic, verbal, and even material means of expres-sion that help create the impression of the phenomenon’s exist-ence. Map 1 (fig. 1) is a visualisation of rainfall on a completely flat surface created mostly through abstract graphic means of expression. Map 2 (fig. 2, 3, 3a) is a three-dimensional installation consisting of a horizontal map, made of moss and their life-support infrastructure. The latter ensures proper dosage of water and light, thus creating a local ecosystem to control the growth of the moss.The semiotic method of analysis is used to disclose and compare the structure of maps of different expression, their plastic dimension as well as elements of the figurative level. Visual semiotic analysis has been employed here to detect the meaning effects created by different means of expression and identify their differences in the signifying process.The analysis opens up with an overview of the plastic dimension which discusses the chromatic, eidetic, topologic, and haptic characteristics of the map surface. Later, the analysis continues with the overview of the figurative level, focusing on the figures and their thematic values.The last stage of the analysis is dedicated to the generalization of the tensions and oppositions of the plastic level and thematic values of the figures as well as consideration and comparison of the peculiarities related to the perception of meaning.The overall analysis leads to the conclusion that in both maps at-tempts are made to represent the data-based natural phenomenon of rain by means of reinstating the rich sensual experience that was abandoned once the phenomenon was reduced to mathematic values. In addition, it is stated in the conclusions that Map 1 is an object where we can observe constructed signifying system, as meanings here are assigned “artificially”, whereas Map 2 consists of figures of the natural world, namely moss, therefore its language is the natural language.
Automated Discovery of Symbolic Approximation Formulae using Genetic Programming

This paper describes the use of genetic programming to automate the discovery of symbolic approximation formulae.Results are presented involving discovery of numeric approximation formulae to common functions, which are compared to Padé approximations obtained through a symbolic mathematics package.Based on these results, we consider genetic programming to be a powerful and effective technique for the automated discovery of symbolic approximation formulae.
Application Of The Ma'had Al-Jami'ah Program In Improving The Quality Of Reading The Alquran

Ma'had Al-Jami'ah is a program that must be followed by students of the State Islamic Institute at Padangsidimpuan. And its become one of the requirements to pass the thesis munaqoshah trial. The existence of Ma'had Al-Jami'ah IAIN Padangsidimpuan is expected to be able to improve the quality of reading the Koran of students. Moreover, IAIN Padangsidimpuan is an Islamic tertiary institution that has considerable to moral responsibility to produce scholars who have competence in the field of reading, memorize and teach the Koran and the formation of morals even better. But even though the Ma'had Al-Jami'ah program has been implemented there are still students who do not yet know about the Qur'an's tahsin properly, as well as some students who have not been able to to have holy attitude and speaks foreign languages (Arabic and English Language) the better one. The purpose of this study is to determine the application of the Ma'had Al-Jami’ah program in improving the quality of reading the Koran well. Knowing the method used by Ma'had Al-jami’ah in improving the quality of reading the Koran. The methods applied by Ma'had Al-Jami’ah are to classificate in some groups according to students' abilities. The grouping starts when students enter the dormitory, Koran reading test held to all students. For students who can read the Koran and know the law of recitation will be separated in another group from students who cannot read the Koran and law of the recitation well. Supporting Rector, Deans, all of IAIN Padangsidimpuan academics community, Student Guardians and Ustadz/Ustadzah is extremely important help this priority program running well
Developing The Media of Reading Comprehension in French Based on Techno Pedagogical Content Knowledge (Tpack)

This study is aimed to develop the media of learning French reading comprehension based on Technological Pedagogical and Content Knowledge and to know how the learner competencies in reading comprehension. The developing needs to be done due to the growing use of technology in the world of education in millennial era of the Industrial Revolution 4.0. The KKNI curriculum at Medan State University requires the use of technology in accordance with the concepts and principles of learning, the students were still low in reading, and learning media had not used the latest technology. The Plomp model methodology was used through the investigation phase by collecting the information, design phase, realization phase, and test, evaluation, and revision phases. Data collection was carried out namely the collection of material or material entered into learning media using the applications of Windows Movie Maker, Filmora and Powtoon, Applications are used by teachers to construct content, distribute quizzes, assignments, and manage communication with learners. The results are (a) a learning medium developed with the TPACK framework on learning content in the Reading Comprehension the French Language, (b) the students competencies have increased on reading the simple texts of descriptive and narrative.
MAGOMET MOKAYEV. LIFE AND CREATION WORKS

The article presents the facts of a creative biography of the famous Karachay -Balkar poet Magomet Khasuevich Mokaev.The relevance of the work lies in the need to study the heritage of Magomet Mokaev, since his literary experiments did not previously become fully the object of scientific understanding.The work traces the evolution of the writer's creative path, the poet's contribution to the formation of the Balkarian spiritual culture is noted, the main merits in improving the poetic syllable and updating the genre component of national literature are indicated.
ARABIC SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL AND EM ALGORITHM

Arabic language is a semantic language that has complicated difficulties when compared to English and other languages.In this paper an Arabic speaker recognition system has been developed for introducing conversion of the uttered Arabic speaker instantly after the utterance.The voice samples were recorded, the pre-processing activity detected to evaluate the voice parts from unvoiced, framing and rectangular window slides techniques has been used for segmentation of the Arabic Speech signals, followed by Mel Frequency Spectrum Coefficients (MFCC) for features extractions, The feature vectors are grouped for each spoken sample using VQLBG Algorithm and Gaussian Mixer Model (GMM) applied for classification and recognition an unknowing speaker through his uttered words which belong to specific cluster that is differenced form others clusters related to others Arabic speakers.This approach reported in providing 95.5% of recognition rate.
OPTIMASI REGRESI LOGISTIK MENGGUNAKAN ALGORITMA GENETIKA UNTUK PEMODELAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGOLONGAN KREDIT BANK (Studi Kasus: Debitur di PT BPR Gunung Lawu Klaten Periode Tahun 2017)

Credit is the greatest asset managed by banks and also the most dominant contributor to the bank’s income. But in its implementation, the provision of credit to the public is at risk for non-performing loans. For this reason, creditors try to minimize the occurrence of non-performing loans by predicting credit risk appropriately. In this study, modeling the factors that influence credit classification at PT BPR Gunung Lawu is useful for predicting the credit risk of prospective debtors. Modeling are done using logistic regression and genetic algorithms. Factors suspected of influencing credit classification include age, gender, marital status, education, home ownership, employment, net income, tenor, type of business, type of loan, type of loan interest, and loan size. Estimated model parameters obtained from logistic regression were optimized using genetic algorithms. The fitness function used is pseudo or and MSE. The best model is generated by modeling with genetic algorithms based on MSE fitness. The model produces the highest value of 0.1958 and the lowest MSE value of 0.1648 with classification accuracy of 75.33%. Keywords: credit classification, logistic regression, genetic algorithms
IS / IT Strategic Planning of Muhammadiyah 10 GKB Senior High School

In line with what was stated by the Southern Connecticut University that the making of strategic plans in any form is a significant effort.Whereas to strategically manage Information and Information Technology (IS / IT) Systems, understanding is needed on how the role of technology-based information systems has evolved in organizations.Moreover, the development of technology in these days has been so rapidly moving.Through this paper, the researcher aims to make an IS / IT strategic plan in an educational institution.This research will begin by compiling the Critical Success Factors, then executing the Gap Analysis to get comparisons between the actual conditions and the desired conditions.Next, the researcher will carry out the planning framework steps initiated by a firm named BerryDunn.This planning framework is commonly used by that firm in several institutions in the world and is expected to fill the gaps that might be found.The researcher hopes that this research can produce strategic IS / IT planning at Muhammadiyah 10 GKB Senior High School.In addition, this research is also expected to be able to provide benefits to the educational institutions in Indonesia.
Colloquiality analysis on social networks

Social network sites are present in a constant way in society. The manner people write in social network sites has their dynamism because of the speed information are replicated, the reach publications may have, network sites’ peculiarities and the seek for fame. This generates linguistic constructions that are not in accord with the standard norm of the Portuguese language. This quantitative work aims to relate the use of colloquial constructions on Twitter with user's popularity, posts popularity and other specific factors of this social network. This analysis was made using regular expressions, dictionaries, and frequency distribution to identify colloquial constructions. A support system was developed to perform analysis, management, and mining.
Analysis of Factors in Influencing the Learning Effect for Higher Vocational Students

In the process of teaching in higher vocational education, there are many factors that can influence students' learning effect.Through the observation, investigation and interview for several teaching cycles, it is found that in addition to some important subjective factors of teachers and students, lots of objective factors such as the training objectives of professional talents, curriculum setting, campus atmosphere, teaching environment and instructional design should not be ignored either.In particular, the stable and professional teaching site, reasonable instructional design and learning campus culture will have a greater impact on students' learning effect.In order to cultivate high-quality and high-skilled talents, higher vocational colleges need to mobilize all forces to help teaching within the visible and touchable range of students.
Analysis of the heat sources detected by MODIS and VIIRS satellites in central western Amazonia

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Interactive synthesis and visualisation of vast areas with geometrically diverse trees

This paper summarises a Doctoral Thesis which proposes a new approach for large- scale forest visualisation with geometrically diverse trees. The main contribution of the proposed method is an interactive visualisation of numerous trees without generating geometric data in advance, which is achieved by a new method for on-the-fly tree skeleton synthesis with a specific level of detail, and by a new procedural volumetric tree crown visualisation which avoids geometry formation altogether. The proposed method enables visualisation of forests with millions of trees, thus allowing rendering more trees than geometry-based visualisation methods.