Reviewerly/exHarmony huggingface dataset:
Exploring The Way The Lecturer Develop Reading Material at State Islamic Institute of Lhokseumawe

Reading material is one of the required subject stated in the curriculum at English Department of State Islamic Institute of  Lhokseumawe which is designed by the lecturer for her own class. In order to create high quality material, the lecturer has to consider the procedure of reading material development according the theory that stated by expert. The research objective of this study were the types of reading text used by the lecturer in teaching, and to describe the process of reading materials development the lecturer did. The research subject was the lecturer who teach Reading Comprehension III at English Department of State Islamic Institute of  Lhokseumawe. The data of this research were collected by using two research instruments, there were interview guide and documentation. In order to collect the data, the lecturer was given the questions of interview. Furthermore, in order to find out the type of reading text used by the lecturer, the researcher used the documentation. Finally, all the data were analyzed by using procedure of data analysis in qualitative methodology, there were three steps; first, organization and familiarization; second, coding and reducing process, and the last was interpreting and representing. From the data analysis result, it is found that first, the lecturer used one descriptive text for the first material and the rest belongs to expository text; and Second, the lecturer used five of seven steps of Tomlinson model in developing material process there were; First, identification stage to identify the needs of the students; Second, exploration of the need; Third, contextual realization stage; Fourth, pedagogical realization stage; Fifth, production of materials.
Verb Construction As A Feature Of Genre Classification

In our research we studied the dependency structure of the text genre (love stories, detective stories, science fiction and fantasy). The novel characteristics (such syntactic attributes as verb constructions and construction of a specific cumulative threshold) which can be additional machine learning parameters were identified. We conducted experiment with novel features and showed that these characteristics can be useful for closely related genre recognition.
The Implementation of the 2006 Curriculum in Teaching English at State Junior High School 1 in Kalikajar

Two major objectives are targeted in this research, method applied in English language teaching and how to implement the method. The research was conducted at State Junior High School 1 in Kalikajar in 2015. The subjects of this research were three English teachers at the school. The data for this research were collected through document, classroom observation, and interview. The result revealed the method claimed by the teachers were Total Physical Response (TPR) and Presentation, Practice, Production (PPP). Methods written on the lesson plan were categorized onto none implemented, partially implemented, and fully implemented in the teaching process. Findings shows that what was written on the lesson plan was not always implemented in the English language teaching and learning.
Pilot Results of a Handbook: Prevention Skills of Sexual-Abuse for Primary Students

Child sexual abuse is currently a social condemnation in Vietnam (Giang, T. V., Nguyen, L. B. H. &amp; Nguyen, P. N. L., 2016). Many educational programs on how to prevent and practice prevention skills against child sexual abuse have been introduced and gained some significant achievements. This article reports the findings on the results of piloting a skill handbook developed for primary students on how to prevent child sexual abuse. The prevention skills were designed as stories and situations. To determine the practicality and effectiveness of the handbook, we collected the opinions of 160 primary students, 35 primary teachers and experts in psychology and education in Ho Chi Minh city. Pilot results showed that 75.1% of the participating students believed that the handbook was “very good” and “good” For educational, experts and primary teachers, 28.6% rated the handbook to be very good and 71.4% to be good. Based on the results, further research has been suggested so that the handbook can be published for use in primary schools in Vietnam in the coming time.
Leveraging the Power of Mobile Technology to Enhance ESP Students’ Listening Comprehension Ability

The ubiquitous nature of mobile devices and the expanding array of mobile learning applications enable the foreign language acquisition to take place outside the traditional classroom environment. This study conducted a mobile-assisted instructional experiment where the design and development of a mobile application were accomplished to serve students with diverse learning needs in a business English communication class, and with special emphasis on the practice and improvement of listening skills. The instruments used in this study include two tests, weekly quizzes and an attitude survey. The findings demonstrated positive effects of the mobile learning on ESP students with regards to their listening comprehension. Most of the students enjoyed having access to the mobile materials specifically designed to improve their learning performance. They perceived such technology-enhanced learning as a practical method for acquiring foreign language skills, because it provided them with an opportunity to accomplish learning tasks anywhere and at any time.
Aplikasi Enkripsi dan Dekripsi Teks Menggunakan Algoritma Merkle Hellman

Cryptography is the science and art of keeping messages safe. In cryptography there are two main concepts, namely encryption and decryption. The encoding is first created using the clasic algorithm. this algorithm builds security on the confidentiality of the algorithm used. But this algorithm is not efficient when used to communicate with many people because the algorithm is still very simple and still very easy to solve, so that important information or data that can be easily kept secret can be recognized by other people or irresponsible people. Merkle Hellman algorithm is a cryptographic algorithm that generally encrypts twice or also called double, namely plainteks encrypted with cipher I, then the first encryption results are encrypted again with cipher II.
Intelligent Facial Emotion Recognition

The system introduces an intelligent facial emotion recognition using arti?cial neural network (ANN). The concept ?rst takes modi?ed local binary patterns, which involve horizontal vertical and neighborhood pixel comparison, to produce initial facial representation. Then, a microgenetic algorithm(mGA) embedded Particle Swarm Optimization(PSO), is proposed for feature optimization. It incorporates a nonreplaceable memory, a small-population secondary swarm, a new velocity updating strategy, a sub dimension based in-depth local facial feature search, and a cooperation of local exploitation and global exploration search mechanism to mitigate the premature convergence problem of conventional PSO. Arti?cial Neural Network is used as a classi?er for recognizing seven facial emotions. ANN is implemented as classi?er for pattern recognition. Based on a comprehensive study using within- and cross-domain images from the extended Japanese database. The empirical results indicate that our proposed system outperforms other state of-the-art PSO variants, conventional PSO, classical GA, and other related facial expression recognition models reported in the literature by a significant margin.
Implementation of Recommendation on Location Based Services

Today mobile is very useful thing.It is a need of everybody.In every Era "Location" is a strong component of "Mobility" Location based services (LBS) are services offered using mobile phone by taking mobile's geographical location.The proposed system is providing location based services and offers with respect to user interest.Vendors are allowed to post and edit an advertisement for users.The system contains various modules such as advertising , Tourist place, Parking place etc.It also provides user's feedback, ranking based suggestion in secured manner.The purpose of this system is to notify the user based on their preferences and their interest in the particular area and notify them using android application.This will lead to lower advertising costs and expenditures also save the time of user for finding the located area of ads with help of GPS.
THE DEVELOPMENT OF THE ORGANIZATIONAL CULTURE OF THE UNIVERSITY AS A TOOL TO INCREASE ITS COMPETITIVE ADVANTAGES

The research article is devoted to studying the university’s organizational culture. To survive and be competitive in the face of strong national and international competition, the university has to be unique as compared to other universities. One of the strategic sources for forming a university’s competitive advantages is to change its organizational culture. It is the university’s development that makes it possible to form new value attitudes, both among teachers and students. The article observes a study of the organizational culture in National Research Mordovia State University. To analyse the surface level of the organizational culture of the university, we have investigated the attitude of teachers and students to the key elements of the organizational environment of the university (tradition, corporate style, encouragement and punishment etc.). The analysis of the subsurface level of the organizational culture has been carried out with the help of adapted versions of K. Cameron and R. Quinn’s questionnaires. Basic value judgments are identified by means of G. Hofstede’s method. The respondents of the questionnaires have numbered 847, including 100 research and teaching staff and 747 students. The results of studying the teachers’ and students’ views on organizational culture provide the general idea of key values, culture orientations, which identify the whole of this culture. The study shows the fragmentary perception of culture elements by the representatives of different departments, which sometimes leads to a diametrically opposite assessment of the parameters of this culture. In this regard, it is necessary to implement a number of training programs aimed at developing the communication system, organizational values, psychological comfort, and corporate image. At the same time, it seems reasonable to consider the development process of the selected components through achieving certain goals, which must ensure the quality of all organizational processes within the university, and, consequently, increase its competitive advantages.
The Application and Impact of PEEDA Act on Teachers’ Morale and Performance

This study was designed to find out "The impact of PEEDA Act on teachers' morale and performance".The study was qualitative as well as quantitative in nature.The target population was all the PEEDA Victims primary school teachers and their Head Teachers of district Dera Ghazi Khan.There were 503 PEEDA Victims out of which 285 were selected as the sample by using simple random sampling technique.To find out the morale and performance of PEEDA Victims, Two questionnaires were developed one for PEEDA Victims and other for their Head Teachers.The collected data were tabulated and analyzed by using SPSS version 20.Descriptive statistics like percentage, mean and standard deviation were applied to data to generalize the result.Z-test was applied to test the null hypotheses.The results of the study showed that PEEDA Act has slightly positive impact on teachers' performance but it is negatively affecting teachers' morale.
Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners

We introduce a method for learning to extract vocabulary and encyclopedic information to assist second language (L2) learners acquiring deep knowledge of target vocabulary.In our approach, grammar patterns, collocations, representative examples are extracted, aimed at providing rich lexical information for any target words.The method involves word sense disambiguation on target words, automatically parsing the sentences in a large-scale corpus, automatically generating grammar patterns, collocations, examples, and quizzes for every target word, and automatically linking named entities to corresponding Wikipedia information.We present a prototype vocabulary learning system, Linggle Booster, that applies the method to corpora and web pages.Evaluation on a set of target words shows that the method has reasonably good performance in terms of generating useful and correct information for vocabulary learning.
“Museum as a medium” concept: problem setting

The article deals with the main tasks of modern museums and the intersection of these tasks with the activities of the mass media. Creative museum spaces are becoming part of the media space, which necessitates their new positioning and study within the framework of the scientific specialization “journalism (philological sciences)”. The authors consider the functionality of museums as a new medium of communication, identify the most successful forms of presenting information, identify criteria identical with new media for evaluating the effectiveness of museum content. The authors emphasize the importance of the “museum as a medium” concept in terms of cross-platform and digitalization.
Optimal Location of Dynamic Military Areas Within Civil Aviation Traffic

In this study, we focus on the problem of locating optimally dynamic military areas with the aim of minimizing the number of civil flight trajectories potentially impacted by the military activity, and the distance between the military area and the military base. We model the military areas by 2D geometry shapes with a vertical extension associated with given flight levels during the temporary area-activation time window. We propose a mathematical formulation of this problem as a constrained-optimization problem. We then introduce a global-optimization methodology based on a simulated annealing algorithm featuring tailored neighborhood-search strategies and an astute computational evaluation of the otherwise costly objective function. This is applied to 1-day of French traffic involving 8,836 civil flights. The results show that the proposed method is efficient to locate the military area that is nearest to the military base, while minimizing the potential impact on civil flight trajectories.
Survey on Natural Language Generation

In this paper, we are discussing the basic concepts and fundamentals of Natural Language Generation, a field in Natural Language Engineering that deals with the conversion of non-linguistic data into natural information.We will start our investigation by introducing the NLG system and its different types.We will also pin point the major differences between NLG and NLU also known as Natural Language Understanding.Afterwards, we will shed the light on the architecture of a basic NLG system, its advantages and disadvantages.Later, we will examine the different applications of NLG, showing a case study that illustrates how an NLG system operates from an algorithmic point of view.Finally, we will review some of the existing NLG systems together with their features, taken from the real world.
Revocable Public Key Encryption with Authorized Keyword Search

In this paper, we propose a revocable public key encryption with authorized keyword search (RPEAKS) scheme. In RPEAKS, data and keywords are encrypted with one public key, users without corresponding private key need authorization from the manager if they want to search through the ciphertexts. The manager authorizes users by distributing authorized tokens to them and is able to revoke a user’s search right when needed. Then we present a concrete RPEAKS construction, which is featured with constant size tokens and efficient revocation. Security analysis shows that the scheme is semantically secure against chosen keyword attack and is trapdoor unforgeability.
The Living Atlases Community of Practice

The power and configurability of the the Atlas of Living Australia tools have enabled more and more institutions and participants of the Global Biodiversity Information Facility adapt and install biodiversity platforms. For six years, we have demonstrated that the community around this platform was needed and ready for its adoption. During the symposium organized for the SPNHC+TDWG 2018, we started a discussion that has led us to the creation of a more structured and sustainable community of practice. We want to create a community that follows the structure of open-source technical projects such as Linux or Apache foundation. After the GBIF Governing Board (GB25), the Kilkenny accord was agreed among 8 country or institution partners and early adopters of ALA platform to outline the scope of the new Living Atlases community. Thanks to this accord, we have begun to set up a new structure based on the Community of Practice (CoP) model. In summary, the governance will be held by a Management committee and a Technical advisory committee. Adding to these, the Living Atlases community will have two coordinators with technical and administrative duties. This presentation will briefly summarise the community history leading up to the agreement of the Kilkenny accord and provide information and context of the key points contained. Then, we will present and launch the new Living Atlases Community of Practice . Through this presentation, we aim to collect lessons learned and good practices from other CoP in topics like governance, communications, sustainability, among others to incorporate them in the consolidation process of the Living Atlases community.
The Effectiveness of Using CIRC and CTL in Teaching and Learning Reading Comprehension

Teaching reading in secondary level is aimed at teaching for comprehension. Comprehension occurs when the reader extracts and integrates various information from the text and combines it with what is already known. Reading comprehension is an intentional, active, interactive process that occurs before, during and after a person reads a particular piece of writing. When a person reads a text, he engages in a complex array of cognitive processes. In the teaching and learning process in SMP Negeri 1 Pecangaan, the teachers still dominate the activities. It emphasis on reading the text and then answers the questions based on the text and discussion to determine the correct answer. This is known as “Baca-Soal-Diskusi” technique (BSD). Concerned about the technique, the researcher thinks that the technique is not good enough. It can be seen that the students’ ability in understanding the text is not satisfactory enough. This research was aimed at describing(1) the difference of effectiveness between CIRC, CTLand conventional techniques and (2) which one is the most effective technique – CIRC, CTL, or conventional – in teaching and learning reading comprehension of grade VIII students of SMPN 1 Pecangaan.. This quasi experimental research used pretest posttest nonequivalent group design with teaching techniques as the independent variable and students’ reading comprehension as the dependent variable. The population of the research was the students of grade VIII of SMPN 1 Pecangaan in the academic year 2013/2014 with three classes were randomly chosen as the research sample. The data were gathered through pretest and posttest of students’ reading comprehension which were analyzed using Ancova continued by Scheffe test with the significance level of 0.05. The research results show that (1) There is a significant difference in the reading comprehension of the students taught using CIRC, that of those taught using the CTL, and that of those taught using the conventional technique with F = 3.68 and p = 0.03 (2) CIRC is the most effective technique among them with the sequence of effectiveness is CIRC followed by CTL and conventional technique. Keywords: CIRC technique, CTL technique, reading comprehension
DATA VISUALIZATION FOR PIG HERDS IN TRA VINH PROVINCE BASED ON GEOGRAPHIC INFORMATION SYSTEM (GIS)

Building a system of data visualization of pig herds in Tra Vinh province based on GIS (Geographic Information System) will help management agencies update, do statistical analysis of and forecast the fluctuation in pig herds within the provincial area. Since then, pig farmers will have reliable information, which canmake their investment more efficient. The system is built on the WebGIS platform combining solutions for processing map data with PostGIS - an extension of PostgreSQL database management system to manage GIS objects. Additionally, the system will also provide solutions to handle and share pig herd data on the map with Geoserver - an open source server with the aim of connecting geographic information from PostGIS to Geoweb.
KCAT: A Knowledge-Constraint Typing Annotation Tool

Fine-grained Entity Typing is a tough task which suffers from noise samples extracted from distant supervision.Thousands of manually annotated samples can achieve greater performance than millions of samples generated by the previous distant supervision method.Whereas, it's hard for human beings to differentiate and memorize thousands of types, thus making large-scale human labeling hardly possible.In this paper, we introduce a Knowledge-Constraint Typing Annotation Tool (KCAT 1 ), which is efficient for fine-grained entity typing annotation.KCAT reduces the size of candidate types to an acceptable range for human beings through entity linking and provides a Multi-step Typing scheme to revise the entity linking result.Moreover, KCAT provides an efficient Annotator Client to accelerate the annotation process and a comprehensive Manager Module to analyse crowdsourcing annotations.Experiment shows that KCAT can significantly improve annotation efficiency, the time consumption increases slowly as the size of type set expands.
Standard Yorùbá context dependent tone identification using Multi-Class Support Vector Machine (MSVM)

Most state-of-the-art large vocabulary continuous speech recognition systems employ context dependent (CD) phone units, however, the CD phone units are not efficient in capturing long-term spectral dependencies of tone in most tone languages.The Standard Yorùbá (SY) is a language composed of syllable with tones and requires different method for the acoustic modeling.In this paper, a context dependent tone acoustic model was developed.Tone unit is assumed as syllables, amplitude magnified difference function (AMDF) was used to derive the utterance wide F contour, followed by automatic syllabification and tri-syllable forced alignment with speech phonetization alignment and syllabification SPPAS tool.For classification of the context dependent (CD) tone, slope and intercept of F values were extracted from each segmented unit.Supervised clustering scheme was utilized to partition CD tri-tone based on category and normalized based on some statistics to derive the acoustic feature vectors.Multi-class support vector machine (MSVM) was used for tri-tone training.From the experimental results, it was observed that the word recognition accuracy obtained from the MSVM tri-tone system based on dynamic programming tone embedded features was comparable with phone features.A best parameter tuning was obtained for 10-fold cross validation and overall accuracy was 97.5678%.In term of word error rate (WER), the MSVM CD tri-tone system outperforms the hidden Markov model tri-phone system with WER of 44.47%.