Reviewerly/exHarmony huggingface dataset:
Towards the Development of Language Analysis Tools for the Written Latgalian Language

This paper reports on the development of spell checking and morphological analysis tools for Latgalian. The Latgalian written language is a historic variant of the Latvian language. There is a wide range of language analysis tools available for Latvian, whereas the Latgalian language lacks such tools. The work is done by the joint effort of linguists who work on morphologically marked lexicon creation and IT specialists who work on language tool development. For the creation of a morphological analysis tool, we reuse the FST technology used for the Latvian morphological analyzer. We create a spelling dictionary that can be used with the Hunspell engine. All tools are accessible via Web Service. For now, the Latgalian lexicon contains 13,139 lemmas marked by 105 inflection groups. The work of lexicon replenishment still continues.
Broken Hearts and Coffee Mugs

Overall, there are two broad types of security review: white box and black box. A white-box review is one in which the attackers have nearly full access to information such as code, design documents, and other information that will make it easier for them to design and carry out a successful attack. A black-box review, or test, is one in which the attackers can see the system only in the same way that a normal user or consumer would.
THE EFFECT OF SPELLING BEE GAME ON STUDENTS’ VOCABULARY ACHIEVEMENT AT SMP NEGERI 17 KENDARI

The purpose of conducting this research is to examine the effect of Spelling Bee game on students’ vocabulary achievement at the second year of SMP Negeri 17 Kendari. The sample of this research was 30 students in the second grade. This research was conducted in pre-experimental research design. Data of this research were collected by giving pre-test and post-test to the students. They were analyzed by using SPSS 16.0 version (descriptive analysis and inferential statistics). The result showed that there was effect of spelling bee game on the students’ vocabulary achievement. It can be seen from the mean score of post-test which was 62.67, while the mean score of pre-test was 43.67. In order to prove the hypothesis, the researcher took the conclusion by comparing the value of Sig (2 tailed) with the significance α value. It showed that the value of Sig (2 tailed) was 0.000 while the significance α value was 0.05. It means that the value of Sig (2 tailed) was lower than the significance α value (0.000 &lt; 0.05) which indicated there was effect of spelling Bee Game on Students’ Vocabulary Achievement.
The Development of 3D Professional Pageflip-based Pregnancy Care E-Module

Midwifery education has an important role in producing competent and professional midwives. Competent and professional midwife staff starts from a quality learning process. This study aimed to develop a valid and reliable 3D Pageflip Professional pregnancy care e-module. The type of research was Research and Development (R&amp;D) research. The data collection techniques use primary data from the validation of experts (media expert and content expert). The results of this study indicated that media expert review got an average score of 3.77 (good criterion), content expert got an average score of 4.15 (good criterion) and the pregnancy care lecturer evaluation got an average score of 4.14 (good criterion). In addition, it stated that 3D Pageflip Professional pregnancy care e-module was good and deserved to be tested in the learning process. 3D Pageflip Professional pregnancy care e-module developed as an alternative to assist midwifery students in overcoming learning difficulties. Implications this article are giving the curriculum knowledge focused on learning innovations. The application of e-pregnancy care modules was easy to learn and practically accessible anywhere. To be development and innovative teaching content of education midwife and source study midwifery student so as to increase motivation and learning outcome.
Experience and yield of mass breast screening among working women in major cities of India: a mixed-method study

Background: iBreastTM tool is simple, safe, a handy device which is designed for mass breast cancer screening tool in a community or hospital setting. This study determined the yield and basic characteristics of women attending the breast cancer screening programme. The study also determined the overall experience of women who underwent breast cancer screening using iBreastTM tool.Methods: This study was a multicentric, retrospective observational study conducted in Mumbai, Bangalore, Chennai and Hyderabad as a part of routine work-place breast cancer screening programme supported by Mfine. Screening was done by iBreastTM, which is a hand-held compression device. After proper clinical examination and iBreastTM scanning, results were confirmed by a consultant trained in interpretation of findings. The overall experience of the women who underwent screening was also determined using a questionnaire. Descriptive analysis was carried out by mean and standard deviation for quantitative variables, frequency and proportion for categorical variables. The qualitative assessment and thematic analysis of the qualitative data was done.Results: A total of 1080 eligible female employees were present in the approached IT companies and out of that 451 women (41.75%) had consented and participated in the screening program. The acceptance rate was highest in Bengaluru city (65%) followed by Mumbai (53%), Chennai (33%) and least in Hyderabad (18%). 31 participants documented positive findings had in the scan and were referred for further evaluation. The quantitative and qualitative data determined that iBreastTM scan was highly accepted by all participants. Customer service, screening location and overall experience was deemed good by the participants with an average score of 4.8.Conclusions: The iBreastTM has the potential to be a promising tool in providing effective diagnosis after breast examinations.
Mount Bromo Eruption Disaster Preparedness With Android Mobile Based Application

In the last 10 years, Mount Bromo has erupted three times; 2010, 2015, and 2019. Using the smartphone application as the Mount Bromo information facilities are one of an effort so that people and tourists can activate if an eruption occurs. There is important information about features made in the application such as distribution shelters, evacuation routes, health centers, photos, videos, and other important information. Assessment results in the application interface, the information conveyed, and also the features offered show that the application is very useful and gives a new perspective in conveying accurate information to the public and also tourists. The community satisfaction level is also quite good with the services provided by the Bromo preparedness application. Great expectations from the public and also respondents can see Mount Bromo further through CCTV cameras that are directly connected to the Android application.
Pengembangan Game Molemash di Android Menggunakan Metode Rapid Application Development

As we know the game is one of the interesting applications found in gadgets. Many people who play games use their gadgets. The fans of this game come from various age segments. Although the majority is dominated by children and adolescents. Molemash is one of the popular games since time immemorial. This Molemash game is played by touching certain characters that appear on the gadget's screen. The aim of developing this Molemash game is as a media to entertain children during the Covid-19 pandemic. Another goal is to introduce programming to today's parents. The development method used is Rapid Application Development (RAD). One application that supports the RAD method is MIT App Inventor 2. MIT App Inventor 2 is one of the tools that supports the RAD method because it implements block programming so that it allows efficiency in terms of program lines that must be written. One block at MIT App Inventor 2 represents dozens or even hundreds of program lines. Users only need to arrange the blocks according to the desired logic flow. Therefore MIT App Inventor 2 is suitable for rapid software development. The result of developing this Molemash game is that children get alternative entertainment during the Covid-19 pandemic. Whereas in terms of parents get new knowledge related to game development on Android.
Energy Saving Awareness Among UTM Students

Energy is an important element for economic competitiveness and employment and thus, a huge amount of energy is required in countries with faster economic growth.Higher institutions of learning such as universities spent a lot of money on energy bills due to the nature of their daily activities.This paper sought to determine the level of energy saving awareness among Universiti Teknologi Malaysia (UTM) students.Therefore, a survey is conducted to determine the level of energy saving awareness in use of various electrical appliances and their preparedness to support efforts towards reducing energy wastage in institutions as well as in their home.The survey was carried out through the administration of questionnaires and it was distributed to the resident students of UTM.The results of the survey point to appreciable levels of energy saving awareness in the use of various consumer tools.The results show a high awareness level towards energy saving among UTM students, especially of the importance of energy saving.In addition, a significant number of UTM students were willing to support efforts towards reducing energy wastage, in terms of changing their habits, both on time and money to save more energy in the long run.
The Contribution of Social Media Languages in Language Change and Character Building of The Students of IAIN Takengon

The aim of this study was finding out the language change and character education in reference to the contribution of social media languages of the students IAIN Takengon.This research was categorized into a case study by using descriptive qualitative approach.The participants were 300 students of IAIN Takengon.The research instrument was in the form of questionnaire, observation sheet, and interview guideline.The results of the study are as follow: The social media language are affected the Gayonese language in some types, as they: phonology, morphology, syntax, semantic, and vocabulary.The social media language also affected the character building of the students.The social media language improves the multilingual of the students.It cause the shifting of the self-identity, principal of life, and respect to the culture.
THE EFFECTIVENESS OF QUANTUM LEARNING MODEL TOWARD EIGHT GRADE STUDENTS’ READING SKILLS IN SMP N 12 BINTAN

This study aims at analyzing the implementation of Quantum learning model for EFL learners at SMP N 12 Bintan, Kepulauan Riau province. Urged by the factual situation that lack of students’ reading ability, the chosen model was applied in the form of classroom action research. The subject of the study is 31 of eight grade students. The result showed the application of the Quantum learning model improves students' ability to read text. This is indicated by an increase in reading skills from pre-cycle which only averaged 75.23 to 78.52 in the first cycle, while the percentage of completeness increased from 35% to 84%. In cycle II, with the improvement of Quantum learning accompanied by encouragement from teachers and guidance in groups to actively ask questions, feedback, reinforce, and divide heterogeneous groups, the average score increased to 82.29, and the percentage of completeness increased to 100%.
The French Ligue 1 TV Rights Selling Model – Historical Study

In 1996, the Lega Calcio deal with RAI expired and the league signed deal with four media groups for 11 television packages, generating 100 million euro for the clubs. In mid 2000s the tv rights income reaches a 873 million euro for the 2005-06 season, with the Serie A tv rights annual income to gradually increase from a 844 million euro for the 2009-10 season to an amazing approximate 1,4 billion euro for the 2018-21 season. All these years Lega Calcio experimented a lot in the designing and application of a tv rights selling mechanism and its accompanied tv rights income distribution model. The study could be used by several professional football leagues, with the Greek Superleague being one of them, in order its higher management to evaluate the actions LFP undertook all these years and how these actions affected could be followed.
Pembelajaran Snowball Throwing dan Motivasi Belajar terhadap Hasil Belajar IPS

Abstract&#x0D; The purpose of this study was to determine: (1) the effect of snowball throwing learning and learning motivation on the learning outcomes of social studies subjects of high class students, (2) the effect of snowball throwing learning with the learning outcomes of social studies subjects of high class students, and (3) the effect of learning motivation with the learning outcomes of Social Studies students of High Class SDN Sedarum I Nguling Pasuruan. This research is quantitative research. The study population was students of SDN Sedarum I Nguling District, Pasuruan Regency, a total of 273 students. The research sample was 138 High Class students with a total sample technique. Data collection using instruments. As for the learning outcomes of social studies subjects use tests. The results showed that: (1) there was a significant relationship between snowball throwing learning and learning motivation towards the learning outcomes of Social Studies students in High Classes, (2) there was a significant relationship between snowball throwing learning with High Class students' learning motivation, and (3 ) there is a significant relationship between learning motivation with the learning outcomes of social studies subjects of High Class students at SDN Sedarum I, Nguling Pasuruan.&#x0D;
THE EFFECT OF TEACHING LISTENING USING FOLKTALES ON STUDENTS’ LISTENING ACHIEVEMENT (A Case of Regular Class of Eleventh Grade at MAN 1 Kendari)

This study investigated the effect of using folktales on students’ listening achievement at the eleventh grade of MAN 1 Kendari. This study applied a Pre-experimental research design with one group pretest and posttest. The population of this research was the eleventh- grade students of senior high school in the academic year 2018/2019. The sample of this research was all eleventh-grade students of MAN I Kendari which consists of 30 students. The Technique of sampling used by the researcher was total sampling. The result showed there was a significant effect of using folktales on students’ listening achievement. It was proven based on descriptive analysis, the mean score of pretest was 48.4 and the posttest means score was 75.2. Moreover, the result of hypothesis testing showed that the mean value of pretest and posttest was 26.7 and the standard deviation was 20.7, while the standard error means was 3.78. The sig. (2-tailed) was 0.000 which smaller than (&lt;0.05), it can be concluded that H0 was rejected and H1 was accepted which means there was an effect of using Folktales in teaching Listening at Eleventh grade of MAN 1 Kendari. Keywords: listening, folktales
A Design of Smart Beaker Structure and Interaction Paradigm Based on Multimodal Fusion Understanding

Virtual chemistry experiment is an important teaching tool in middle schools. It can not only help students understand the experimental principles, but also help them memorize the experimental procedures. However, there are still some problems in virtual chemistry experiments. First, in existing research, user intentions are often misunderstood and cannot be accurately understood. Second, the existing research fail to identify the user's wrong actions, which reduce the accuracy of the experiment. Third, the user sense of operation and realism is not strong during the experiment, which reduces the user's experience. Finally, the lack of navigation guidance for experimental operations increases user learning time. In order to solve these problems. This paper proposes a scheme for establishing an intelligent navigational chemical laboratory based on multimodal fusion. First of all, we design a new smart beaker structure with perceptual ability, which can be used to complete most chemical experiments and give users a real sense of experience. Besides, we propose a multimodal fusion understanding algorithm, which reduces the misidentification of the experiment and better understands the real intention of the user. Finally, intelligent navigation and wrong behavior recognition functions are added to the experimental equipment, which improves the efficiency of human-computer interaction. The results show that Compared with the existing virtual laboratory or system, the chemical laboratory scheme proposed in this paper through multimodal fusion understanding algorithm greatly reduces the user's memory load and improves the success rate of the experiment. Moreover, through the combination of virtual and real, the virtual chemistry experiment not only improves the authenticity of the operation, but also stimulates the students' interest in learning, which is well received by users.
Implementation Of Data Mining On Suzuki Motorcycle Sales In Gemilang Motor Prosperous With Apriori Algorithm Method

The sale is part of the marketing that determine the survival of the company. With the sale, the company can achieve the goals or targets. To be a company that continues to grow in motorcycle sales, the company should be able to compete in increasing sales volume. Starting from the launch prodak the best in sophistication motorcycles, up to a very attractive price cuts the attention of consumers. Things like that already sanggat often do, so the company can still compete, Motorcycles is a two-wheeled transfortasi tool used more and more common people. From teenagers to old orag, not infrequently motorcycle including important sanggat needs. If we do not have it feels very hard in activity quickly. Make sales without any restriction of sales data accumulate, until finally overwhelmed the company in terms of taking care of customer files. To find the most sales required Apriori Algorithm. Apriori algorithm, including the type of association rules on Data Mining. One stage of association that can produce an efficient algorithm is with high frequency pattern analysis. In an association can be determined by two benchmarks, namely: Support and Confidence. Support "penunang value" is the percentage of combinations of items in a database, and Confidence "value certainty" is strong correlation between the items in an association's rules. Apriori algorithm, including the type of association rules on Data Mining. One stage of association that can produce an efficient algorithm is with high frequency pattern analysis. In an association can be determined by two benchmarks, namely: Support and Confidence. Support "penunang value" is the percentage of combinations of items in a database, and Confidence "value certainty" is strong correlation between the items in an association's rules. Apriori algorithm, including the type of association rules on Data Mining. One stage of association that can produce an efficient algorithm is with high frequency pattern analysis. In an association can be determined by two benchmarks, namely: Support and Confidence. Support "penunang value" is the percentage of combinations of items in a database, and Confidence "value certainty" is strong correlation between the items in an association's rules.
The The Influence of Internet Use on Class X Student Learning Outcomes in Economics Subjects

Internet is on source of learning that can help student in participating in learning activities, because on the internet there are various kinds of information related to subjects matter. The results of interviews with educators and class X students that in adition to using textbooks as a learning resource, Muhammadiyah Maumere high school students also use the internet as a learning resource. Therefore, there is a need for research on the effect of the use of the internet on the learning outcomes of class X students in economic subjects at Muhammadiyah Maumere High School, with the aim to determine the Effect of Internet Us on Class X Student Learning Outcomes in Economic Subjects at Muhammadiyah Maumere High School. This type of research used in this research in quantitative research. The study had a population of 82 respondents and a sample of 68 respondents. This research uses an instrument in the from of a closed questionnaire. The results of data analysis said that there is an influence of the use of the internet on the learning outcomes of class X students in economic subjects at Muhammadiyah Maumere High School, this is evidenced by hypothesis testing namely Rhitung&gt;Rtable or 4.056&gt;1.995. R square value of 0,200 means that the influence of internet us on student learning outcomes by 20% and 90% is influenced by other variables not examined.&#x0D;
Experimental comparison of data comprassion algorithms

The amount of data that is stored and transferred grows regularly and rapidly. When it comes to transferring large data volumes, a data compression algorithm can be useful. A well-chosen data compression algorithm can reduce the size of the data to up to 60%. The problem of creating new and modifying or optimizing old algorithms is up to date. This article discloses some of the most widespread algorithms of data comparison; more exactly, four of them. Shannon–Fano coding, named after Claude Shannon and Robert Fano, is a technique for constructing a prefix code based on a set of symbols and their probabilities. It is suboptimal in the sense that it does not achieve the lowest possible expected code word length like Huffman coding. Huffman code is a particular type of the optimal prefix code that is commonly used for lossless data compression. The process of finding or using such a code proceeds by means of Huffman coding; an algorithm developed by David A. Huffman. Lempel–Ziv–Storer–Szymanski (LZSS) is a lossless data compression algorithm, a derivative of LZ77 that was created in 1982 by James Storer and Thomas Szymanski. The main difference between LZ77 and LZSS is that in LZ77 the dictionary reference could actually be longer than the string it was replacing. In LZSS, such references are omitted if the length is less than the “break even” point. Furthermore, LZSS uses one-bit flags to indicate whether the next chunk of data is a literal (byte) or a reference to an offset/length pair. Lempel–Ziv–Welch (LZW) is a lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published as an improved implementation of the LZ78 algorithm. As part of the work on the article, these algorithms were implemented and an experimental analysis of their quality and speed was carried out. Those experiments gave the conclusion that the best compression speed results were shown by LZSS and the best compression ratio was reached by LZW. The work can be useful for researchers in the field of data compression.