Reviewerly/exHarmony huggingface dataset:
Students’ perception toward the plan of tefl module designinfg for college students based on the teacher training

This research was done to find out Students’ Perception toward the Plan of TEFL Module Designing Based on Teacher Training. The result of this research will be put into background of the next research in developing TEFL module based on the teacher training approach. A research method applied in this research was survey research. It was held at Islamic State of Institute (IAIN) Bone, Indonesia, in academic year 2017/2018. The samples of this research were 50 English study program students who have been taught TEFL material. The research data were collected through questionnaire and interview. All the samples of this research were involved to respond the questionnaire, and there were only 10 students who involved in follow-up the interview. The results of this research revealed that the mean score of students’ perception was 45.18. Based on the mean scores and interview data, it showed that the students had very high perception toward the Plan of TEFL module designing based on the teacher training.
Mapping the Unseen: Exploiting Super-Resolution for Semantic Segmentation in Low-Resolution Images

High-resolution aerial images are usually not accessible or affordable. On the other hand, low-resolution remote sensing data is easily found in public open repositories. The problem is that the low-resolution representation can compromise pattern recognition algorithms, especially semantic segmentation. In this M.Sc. dissertation1 , we design two frameworks in order to evaluate the effectiveness of super-resolution in the semantic segmentation of low-resolution remote sensing images. We carried out an extensive set of experiments on different remote sensing datasets. The results show that super-resolution is effective to improve semantic segmentation performance on low-resolution aerial imagery, outperforming unsupervised interpolation and achieving semantic segmentation results comparable to highresolution data.
Alat Pendeteksi Kebakaran Menggunakan SMS

Lately, there are frequent fires caused by human factors. Because we cannot predict the process of fire in advance. And the delay in knowing the occurrence of a fire is very fatal to the safety of human life and property. With advances in technology, we can overcome fires by making early fire detection devices. With the presence of temperature and smoke detectors, we can detect fires as early as possible and be delivered quickly via alarms and SMS gateways. The main component of this fire detector is the Arduino Uno. This Arduino uno acts as the brain of the fire detection device. This tool works based on the detection of the temperature condition by the DHT11 temperature sensor, which is when the temperature is above normal, an alert notification will be sent via the SMS gateway and so will the MQ2 smoke and the buzzer will sound as a warning alarm.
In Memory of Emanuele Pianta’s Contribution to Computational Linguistics

Almost eight years after his untimely death, the scientific contribution of Emanuele Pianta still appears significant to us, in particular for the variety of the topics he dealt with and for his capacity to move cross-disciplinarily between different areas of computational linguistics.Today, retracing the steps of Emanuele's scientific carrier has the meaning of rediscovering an important part of the scientific challenges that the Italian research community has faced over a period of more than twenty years.In recognition of the role he played, the Italian Association of Computational Linguistics entitled to Emanuele Pianta the annual award assigned to the best master's degree thesis in the context of Computational Linguistics, discussed in an Italian University.
Elliptic Curve Layered: A Secure Polyalphabetic Vignere Cryptographic Algorithm for Textual Data

Digital content is unsecured during public data transmission.Cryptography is a technique to provide data security to transfer user's information securely in a cloud computing environment without the intervention of a third party.Cryptographic methods provide data security and have become important nowadays to enhance the security of this digital data.Sensitive data and information when exchanged using the cloud services, lead to eavesdropping.Unauthorized access leads to data breach and various types of security attacks.A distributed network environment is very critical maintaining the confidentiality of the user's data.Cloud services provide encryption and decryption of data while transfer using the TLS protocol.But to use this feature a trusted third-party source is needed.Thus, data security gets affected in such a cloud infrastructure.This paper discusses various issues with different classical cryptography techniques and proposed a hybrid approach using symmetric and asymmetric key algorithm.A new combination of Vignere cipher and Elliptic curve is proposed and implemented and the result is analysed based upon Friedman test and Index of Coincidence.The results show that the novel method provides double layer security to user's data and information.More randomness and confusion have been added in the resulted ciphertext using the new scheme.
From Early Literacy to Information Literacy

“Language is at the heart of the process of becoming literate. Through participation in these interactions, individual students construct a sense of self as readers, writers, and thinkers within the culture of each particular classroom. These constructions are salient to students' development of motivation for literacy learning.” (Johnston, 1992). Early literacy is the stepping stone to 21st century information literacy. Here in Li Sing Primary School, I strive to enable my pupils to learn via a framework of early literacy thatenvelopes book handling skills, questioning, read aloud and prediction for P. 1-2 pupils. The set reading skills are extracts taken from the English Curriculum Guide published by the Education and Manpower and Bureau. ( See Appendix 1) Alongside with reading, listening, speaking is also used during everyday teaching and daily activities. Process writing and free writing has also been used to help pupils to master writing as a creative process whereby they use mind map, paragraphing and connectives to make writing a meaningful learning task.
Classroom Observation of the Perspective of Positive Classroom Affect—Take a Junior High School English Class as an Example

Classroom is not only the place where cognitive activities take place, but also an important place for subject affect development. Positive English subject affect have a positive effect on the occurrence and maintenance of English learning activities. The development of positive English subject affect lies in the classroom, and positive classroom affect plays an important role in promoting the formation of students' positive subject affect. Therefore, this study takes positive classroom affect as an observation perspective, and uses the positive classroom affect observation scale to observe and record a junior high school English listening and speaking class from the four dimensions of communication, learning encouragement, task design and feedback, and student performance. From the results of the observation, the implementation of positive classroom affect in Mr. Hâ€™s classroom is very high, the classroom atmosphere is active, and the students' classroom learning efficiency is high.
Scalable Active Learning for Object Detection.

Deep Neural Networks trained in a fully supervised fashion are the dominant technology in perception-based autonomous driving systems. While collecting large amounts of unlabeled data is already a major undertaking, only a subset of it can be labeled by humans due to the effort needed for high-quality annotation. Therefore, finding the right data to label has become a key challenge. Active learning is a powerful technique to improve data efficiency for supervised learning methods, as it aims at selecting the smallest possible training set to reach a required performance. We have built a scalable production system for active learning in the domain of autonomous driving. In this paper, we describe the resulting high-level design, sketch some of the challenges and their solutions, present our current results at scale, and briefly describe the open problems and future directions.
PENERAPAN AUGMENTED REALITY PADA MEDIA PEMBELAJARAN PEMINTALAN SERAT BUATAN BERBASIS ANDROID (studi kasus : SMK Texmaco Semarang)

This research produces Artificial Fiber Spinning Learning Media that applies Augmented Reality (AR) for Class XI Students of TPSB SMK Texmaco Semarang as a learning aid. so that it can be used as a modern, effective, and interactive learning medium. This application was made with the aim of completing the limitations of depicting objects in existing learning media, helping students to more easily learn the material, improving student learning outcomes, and increasing the variety of media in learning. This study uses the Research and Development (RnD) method, using 6 out of 10 research stages, namely potentials and problems, data collection, product design, design validation, design improvement and product testing. The final result of making this learning media is an application in the format android application, used on every android-based mobile phone. The validity value of the media expert obtained a value of 3.2 which was declared feasible, the results of the material expert validation test obtained a value of 3.6 which was declared very feasible, and was able to increase the average value of the artificial fiber spinning subject class XI TPSB SMK Texmaco Semarang which Initially 61.5% with 17 students who had not reached the KKM to 80.5% with 4 students who had not reached the KKM.
Development Of Crossword Puzzles In The Learning Of Explanatory Text Summarization

This research is based on Indonesian language learning that has not been effective yet, so the result of learned is not optimal yet, to overcome this problem, the researcher developed crossword puzzle game. This development research aims to produce crossword puzzle products as well as know the feasibility and effectiveness of the product. This research used Research and Developement method developed by Borg and Gall. The subjects of this study are the students of class V which amounted to 34 students. Data analysis techniques used descriptive percentage and n-gain test. The results showed that the media of crossword puzzles is very feasible to use with the percentage of assessment 89.58%, material expert judgments of 88, 63%. The result of N-gain analysis showed that the value obtained is 0.5226 in the medium category and the response is very good. Based on the result of the research, the crossword puzzle game to summarize the developed explanation text is declared eligible and effective in improving the writing skill of the students' explanatory text.
Impact of the Effectiveness of the Internal Control System on the Reduction of Fraud in the Jordanian Public Insurance Companies

The study aimed to figure out the effectiveness of the internal control system on the reduction of fraud in the Jordanian public insurance companies. To achieve the objectives of the study, a questionnaire was prepared and the descriptive analytical approach was adopted. The study population consisted of all the employees in te Jordanian public insurance companies under the titles (Manager / Deputy Manager, Department Manager, Head of Department, and Auditor). The study sample consisted of 168 male and female employees, and the data were analyzed using the (SPSS2) to achieve the objectives of the study. &#x0D; &#x0D; The study concluded that there is a statistically significant impact at sig. (&amp;alpha;&amp;le;0.05) for the dimensions of the effectiveness of the internal control system to reduce fraud.&#x0D; &#x0D; The study recommended the need that the companies stress on acquiring the skills of successful interaction skills by the employees.
PENERAPAN METODE REGRESI LINEAR DALAM MEMPREDIKSI DATA PENJUALAN BARANG DI TOKO BANGUNAN VITA VIYA

Abstract- Vita Viya lumberyard is one of the lumberyard is located on Semangka Street, Bengkulu city. During this time the processing sales data of goods in lumberyard is still done conventionally, namely using sales notes that occur every day. Then, the note data will be made into bookkeeping to find out how many sales of goods occur every month. Management of inventory also only sees the remaining items available in the lumberyard without looking at the sales of the item. The problem that often occurs in Vita Viya lumberyard is the management of inventory, where the building materials have a usage period so that they are not suitable for sale. The application in predicting sales data of goods in Vita Viya lumberyard was made by using the Visual Basic.Net programming language by applying the linear regression method. With the construction of the application can be used as an alternative in predicting the sales data of goods in the following month based on sales data that occurred in the last 2 years starting from January 2017 to December 2018. The 2-year data will be used as a data trend to determine the predicted value of goods sold at 1 year in the future. Based on the testing that has been done, it can be concluded that the application is able to predict the sale of goods for the next 1 year based on sales data that has been inputted previously. Based on the testing of error values using the MAPE and MSE methods, it was found that the error value of the predicted value obtained from the linear regression method used the MAPE method of 0.1244575. While, the result by using the MSE method of 14.25. Keywords: Linear Regression Method, Prediction of Vita Viya lumberyard.
Course Setting and Optimization of Public Mathematics in Local Application-Oriented Universities—Taking Sichuan University of Arts and Science as an Example

As an important compulsory basic course for relevant majors in universities, public mathematics is an important part of the course system in the talent training program of local application-oriented universities.From the perspective of the construction of local application-oriented high-level universities, this paper takes Sichuan University of Arts and Science as an example, investigates and analyzes the current conditions of the course of public mathematics, and gives a reasonable optimization scheme of the course system of public mathematics combined with optimization ideas and improvement direction.
NON-TRADITIONAL DRAWING TECHNIQUES FOR THE DEVELOPMENT OF IMAGINATION FOR STUDENTS WITH MILD MENTAL DISABILITIES

Imagination development for pupils with mild mental disorders requires special attention and special pedagogical approach, because independent and creative thinking skills, initiative of creative activity cannot develop by itself; it is not a side effect of knowledge acquisition, it needs to be promoted and activated. The paper raises the issue of the importance of imagination development and opportunities for pupils with mild mental disorders during extracurricular activities, using non-traditional drawing techniques. The paper provides information about the collection of non-traditional drawing techniques developed and approbated by S. Bogurdovicha.
A Dashboard for System Trustworthiness Properties Evaluation

Understanding the trustworthiness of a cloud system is a difficult task, because it encompasses a large diversity of properties such as security, privacy, performance, among others. Evaluating and improving the system regarding trustworthiness require the analysis of huge data considering their historical status. The goal of this paper is to present a dashboard developed for the visualization of these properties, the relationship among them and their relevance in the composition of a trustworthiness score over usage time.
Bringing Classroom and Outside World Together: Mobile Instant Messaging via WhatsApp© for Extracurricular Writing

Mobile phones have a rapidly growing language teaching and learning potential due to various technologies and applications including instant messaging. However, the related literature mostly documents studies aiming at investigating their role for teaching vocabulary, pronunciation, and content, and thus there are calls to focus on other skills, including writing. Responding to these calls to solve the problem of research scarcity on other skills, I opted for a qualitative research design to investigate the pedagogical potential of WhatsApp©, perceive my students’ experiences, and evaluate the process with all strengths and weaknesses. I attempted to make contributions to the existing knowledge on the role of WhatsApp© as one of the most commonly utilised mobile instant messaging applications for language teaching. At the end of a 4-month-period, I gathered my detailed qualitative data from 44 preparatory programme English majoring students at a large-size public university in the northeast of Turkey via a self-devised open-ended questionnaire and conducted a thematic content analysis. My findings highlighted the potential of WhatsApp© as an educational tool to enhance language skills and allow practice chance, offer entertainment and increase interest, decrease anxiety and increase motivation, encourage participation, offer a better communication between the teacher and the students, and help self-improvement. However, no classroom implementation is without limitations, and WhatsApp©-geared interaction was no exception as the implementation had some challenges such as student inconvenience, emotion-related issues, technical problems, content-related and language issues. Based on my dual role, that is, both an academician and practitioner (pracademic), I offered some pedagogical implications for those who want to utilise mobile phones to bring classroom and outside world together to enhance language teaching.
PENERAPAN STRATEGI PEMBELAJARAN LISTENING TEAM UNTUK PENINGKATAN HASIL BELAJAR PKn SISWA KELAS V SD NEGERI 184 PEKANBARU

This research was motivated by the low learning outcomes of Civics class V SD Negeri 184 Pekanbaru. The average value obtained by students before learning using the listening team learning strategy is 69.73 so that it has not reached the specified Minimum Completeness Criteria, which is 75. Therefore there needs to be a change in the learning process using the listening team learning strategy, listening learning strategy. The team begins with the presentation of the material by the teacher, then continues by dividing students into several small groups consisting of four people who have the role of questioner, answerer, buffer and conclusion drawer, then ends with concluding the learning material. The purpose of this research is to improve the learning outcomes of Civics class V SD Negeri 184 Pekanbaru. This research was conducted in 2 cycles. The data collected in this study were teacher and student activity data as well as student learning outcome test data on daily tests in each cycle. In the first cycle, the teacher's activity has increased, namely 41.66% (very low), 58.33% (less). Then in the second cycle 66.66% (enough), 91.66% (very good). This also occurs in student activities with the percentage acquisition in the first cycle is 50% (very poor), 58.33% (less), then the second cycle is 75% (enough), 83.33% (good). In addition to teacher and student activities, student social studies learning outcomes also increased from the average base score of 69.73 then in the first cycle daily tests increased 8.53% to 75.68. In the second cycle of daily tests, it increased again by 20.15% from the basic score to 83.78. So the conclusion is that the listening team learning strategy can improve Civics learning outcomes for grade VA students at SD Negeri 184 Pekanbaru.
Backwash of DIO Classroom Observation Model in EFL

Classroom observation is widely used in the EFL for different purposes by various people. In order to help teachers or researchers effectively observe the classroom teaching in a scientific and feasible way, a new classroom observation tool has been put forward by us. Its content can be simplified into design, implementation and outcome (DIO for short). This paper will make further explanation from its application on three cases in order to illustrate its backwash effect in EFL.
Rethinking the Human Centred Approach to Animal-Computer Interaction

While the field of Animal-Computer Interaction is an emerging one, the main focus has still been on humans.ACI research often examines ways that giving animals technology can improve some aspect of a human's life without considering the needs of the animals.A strikingly parallel problem has arisen in HCI as well -what does participatory design look like when working with the voiceless.In my research, using a dog's connection to its owner as a starting point, I plan to utilise the findings from past HCI work while working with the dogs to design a technology that they actually would want to use.
Pharmaceutical Data Search by Decision Trees

The number of information concerning the drugs that any professional of health must control in practice and the transformations which they undergo, make the regulation or the administration of drugs difficult for a pregnant woman. Techniques of excavation of data were developed to lead a model of classification of data according to precise criteria. One of the most used of is the technique of the decision trees, a method making it possible to predict the membership of an individual to a class according to his characteristics; it is based primarily on the relevant attributes of the data base of the field to which it is applied. In our case classification of managed drugs or not with the pregnant woman will be done according to quarters of the pregnancy. The results of this technique will help the professionals of health to take a decision, to make a good regulation, to decrease the accidents related to the catch of inadequate drugs at the period of pregnancy with less risks for the child.