Reviewerly/exHarmony huggingface dataset:
THE STUDENTS’ VOCABULARY ACQUISITION ADDICTED TO PLAYING ONLINE GAMES

This research aims to know students’ vocabulary acquisition influenced by playing online games. It wants to see the comparison of students’ vocabulary acquisition and the causes of similarities or differences in students who are addicted to playing online games with students who are not addicted. This type of research was causal-comparative by using mix method. The data were obtained through questionnaires, test, and interview. The population of this research of 117 students. To determine the sample, researchers used non-probability sampling, namely quota sampling. 73 students are addicted and not addicted. To analyze the data collected, researchers used the U-test by Mann Whitney using the SPSS 20 application with a significance of α = 0.05. With the provision of significance values&gt; 0.05, accepted and is rejected, in this case, the researcher finds sig. (0.607&gt; 0.05), it can be concluded that there are similarities between students who are addicted to not addicted. The occurrence of this equation is quite reasonable. Researchers used a questionnaire to group students who were addicted to playing online games. Then, a test was given to find out the comparison of students' vocabulary acquisition. After that, the data were analyzed using a U-test by Mann-Whitney. From the findings, it showed that there were similarities in students’ vocabulary acquisition between students who are addicted to playing games with students not addicted to playing games.
Movie Recommending System Using Collaborative Filtering

Movies are one of the sources of entertainment, but the problem is in finding the content of our choice because content is increasing every year. However, recommendation systems plays here an important role for finding the content of desired domain in these situations. The aim of this paper is to improve the accuracy and performance of a filtration techniques existed. There are several methods and algorithms existed to implement a recommendation system. Content-based filtering is the simplest method, it takes input from the users, checks the movie and its content and recommends a list of similar movies. In this paper, to prove the effectiveness of our system, K-NN algorithms and collaborative filtering are used. Here, the usage of cosine similarity is done for recommending the nearest neighbours.
THE EFFECTIVENESS OF NATURAL LANGUAGE PROCESSING (NLP) AS A PROCESSING SOLUTION AND SEMANTIC IMPROVEMENT

The purpose of writing this article is to discuss the function of Natural Language Processing (NLP) in semantic improvement. The writing method uses literature related to NLP on semantic processing and refinement. The discussion in this paper shows that natural language processing helps computers communicate with humans in their own language and makes scaling other language-related tasks easier and more systematic. Because NLP includes lexical/scanner analysis, syntactic/parser analysis, semantic/translator analysis and pragmatic/evaluator analysis. Each component is a sequence of interrelated processes and requires a knowledge base to process a language. Lexical analysis requires knowledge of vocabulary (lexicon) to understand word formation. Syntax analysis requires knowledge of grammar rules (grammar) to understand the structure of a sentence. Semantic analysis requires knowledge of the meaning and meaning of words to understand the relationship between words and the meaning of a sentence. Pragmatic analysis requires knowledge of a concept to understand the relationship between language and the context in which it is used.
Development of cross-platform applications

The work is devoted to the study of cross-platform development of applications, elements of architecture, tools, programming languages and frameworks. During the work, the existing development tools were considered, one framework was studied in detail, which is currently the only one of its kind today. Developed recommendations for creating applications.
Using Multilinear Feature Space to Accelerate CNN Classification

Computer vision plays a crucial role in ADAS security and navigation, as most systems are based on deep CNN architectures the computational resource to run a CNN algorithm is demanding. Therefore, the methods to speed up computation have become a relevant research issue. Even though several works on acceleration techniques found in the literature have not yet been achieved satisfactory results for embedded real-time system applications. This paper presents an alternative approach based on the Multilinear Feature Space (MFS) method resorting to transfer learning from large CNN architectures. The proposed method uses CNNs to generate feature maps, although it does not work as complexity reduction approach. When the training process ends, the generated maps are used to create vector feature space. We use this new vector space to make projections of any new sample in order to classify them. Our method, named MFS-CNN, uses the transfer learning from pre trained CNN to reduce the classification time of new sample image, with minimal loss in accuracy. Our method uses the VGG-16 model as the base CNN architecture for experiments; however, the method works with any similar CNN model. Using the well-known Vehicle Image Database and the German Traffic Sign Recognition Benchmark we compared the classification time of original VGG-16 model with the MFS-CNN method and our method is, on average, 17 times faster. The fast classification time reduces the computational and memories demand in embedded applications that requires a large CNN architecture.
Ghost Theme is Ancient Kannada and Tamil texts

As members of Dravidian family of Languages, Kannada and Tamil are close to each other. Apart from linguistic and grammatical similarities there are comparable elements in literary texts also. There are similar motifs and themes in Ancient Kannada and Tamil literary works. Though a few studies have concentrated in the similarities of Kannada and Tamil grammars, very little is done on the similar features of literary works. This paper makes an attempt to bring out a surprising motif of ghosts that occur in Ancient Kannada and Tamil texts. Tolkappiyam is an early grammatical work in Tamil and date of which is believed to be from 1 to 3 AD. This book speaks of a concept of ‘Thodakkaanji’. This concept is explained by commentators as not allowing the evil spirit to eat the body of the hero who died during a war. The same concept, though the technical term to denote the concept is absent, is present in the Kannada text ‘Sahasa Bheema Vijaya or Gadhayuddha’ by the Ranna, who belongs to the tenth century. While the theme of the narration centers around the battle of maces between Bhima and Duryodhana on the last day of the eighteen-day war, the poet uses a technique similar to flashbacks. This technic we can see in Tamil as a “Singanokku” which is used in grammar text to explain the ‘noorpaa’. Ranna the Kannada poet gives the details of an incident of the war field where the dead leader’s body is guarded from evil spirits/ ghosts by the fellow warriors whose wounds are less fatal. Tolkappiyam is an earlier work and Ranna’s work is late period. But that the particular theme of Thodakkanchi occurs in the Kannada and Tamil contexts merits mention and study a rare example which has not been brought out by anybody so far. Such similar points of comparison are brought out elaborately in this article.
Real Time Application Using Qr Decomposition In Fuzzy Logic

This Paper Proposes  Coding For Qr Decomposition  For Pentagonal Fuzzy Number And Computing The Algorithms For The Fully Fuzzy Linear System.  Where  Is A Fuzzy Matrix,   Are Fuzzy Vectors.  Qr  Decompose Into A Product Of Orthogonal Matrix (Q) And  Upper Triangular Matrix (R) In The Form Of Pentagonal Fuzzy Number Matrices. To Best Outline The Proposed Techniques Has Been Received. Calculations Have Been Presented And The Mathematical Models Have Been Addressed By Utilizing These Methods. Ongoing Applications Are Introduced And A Few Models Has Been Addressed For This Calculations And The Arrangements Are Gotten
Sistem Pakar Diagnosis Penyakit Low Back Pain Berbasis WEB Menggunakan Metode Forward Chaining

Low back pain is a musculoskeletal disorder caused by poor daily activities. Low back pain is also pain that occurs in the back area, precisely in the lower back. It is very difficult to move due to the severity of this back pain so that it can make you feel awkward. This can happen because of our lack of activity and sitting too long causing low back pain. Aspects of safety in work are often not taken into account, so it is necessary to carry out today's application of safety at work in order to maintain health and smoothness in the workplace to reduce risks at work. The source of the problem is that low back pain can happen to anyone who has problems in the health sector such as muscle weakness. Some people are not aware that the disease arises because of their work. Therefore, researchers created an expert system that can help provide information about low back pain by answering yes or no questions. All will be responded to and adjusted to the complaints of patients with low back pain. The resulting system is the name of the disease, symptoms and solutions.
Pengembangan Modul Berbasis Proyek Pada Pembelajaran Menulis Siswa Kelas XI Semester Ganjil SMA

This aims reserch (1) to develop a project-based module on writing learning for high school students in class XI odd semester, (2) to describe the feasibility of project-based modules in writing learning for high school students in grade XI odd semester. The method used in this research is R &amp; D. The research was carried out with seven steps in the research procedure through observation, interviews and questionnaires in three schools in Metro City, each of which represented superior, good and sufficient schools in the 2018/2019 Academic Year. . The results of this study are teaching material products in the form of a project-based module and an average rating of 89% with a feasible category to be tested on students. Teachers and students from three schools rated the teaching material products in the form of writing modules as feasible to be used in learning to write odd grade XI high school texts.
ESTIMATION OF TIME SINCE DEATH FROM THE CHANGES IN VITREOUS HUMOUR SODIUM (Na+) AND POTASSIUM (K+) LEVEL

Background: For investigation of crime, it is very important to determine ‘time since death’ i.e. the interval between death and the time of postmortem examination also called as ‘postmortem interval. This is very important in criminal cases as it shows the track to the investigators to reach the suspected person and to obligate the innocent ones.&#x0D; Methods: The present study was conducted in Forensic Medicine Department on cases died in Dr. S.N. Medical College &amp; associated Group of Hospitals, Jodhpur in association with Department of Biochemistry.&#x0D; Results: The linear correlation of the vitreous sodium (Na+) ion concentration was found statistically insignificant (r=0.045) therefore the coefficient of correlation could not be derived.&#x0D; Conclusion: We have observed linear rise of potassium (K+) ion concentration in the vitreous humour. The linear relationship of the increase in vitreous potassium (K+) ion concentration with increasing postmortem interval is both arithmatic as well as logarithmatic (statistically significant).&#x0D; Keywords: Na, K, Postmortem.
Maastricht University’s Multilingual Speech Translation System for IWSLT 2021

This paper describes Maastricht University's participation in the IWSLT 2021 multilingual speech translation track.The task of this track is to build multilingual speech translation systems in supervised and zero-shot directions.Our primary system is an end-to-end model that performs both speech transcription and translation.We observe that the joint training for the two tasks is complementary especially when the speech translation data is scarce.On the source and target side, we use data augmentation and pseudo-labels respectively to improve the performance of our systems.We also introduce an ensembling technique that consistently improves the quality of transcriptions and translations.The experiments show that the end-to-end system is competitive with its cascaded counterpart especially in zero-shot conditions.
The role of entrepreneurial orientation as a mediator in the relationship between organizational culture and performance: an empirical study in Eastern Province hotels and tourism companies – Saudi Arabia

The purpose of this study is to examine the effects of organizational culture (OC) on the performance of small and medium-size tourism enterprises in Saudi through the mediating role of entrepreneurial orientation's dimensions. The study uses empirical data gathered from 400 usable replies from managers in small- and medium-sized hotels and travel agents in the Eastern Province of Saudi Arabia.  Two main data analysis techniques were employed: descriptive data analysis to investigate the respondent's characteristics, and structural equation modeling (SEM) using Smart PLS 3 to assess the causal relationship between the research variables. The findings indicate the direct positive significant and causal relationship between OC and entrepreneurship orientation dimensions, moreover, entrepreneurship orientation dimensions (innovation, proactivity, risk-taking) were found to fully mediate the relationship between OC and performance. Finally, these results provide several recommendations for scholars and practitioners to adopt the entrepreneurship dimension (innovation, proactivity, risk-taking) not only to deliver excellent customer service but also to expect and meet customer requirements before competitors can do. The results as well highlight great attention to startups initiation and implement new ideas whatever the risk.
Kesulitan Mahasiswa Tahun Masuk 2018 dalam Memahami Teks Bahasa Jepang

In learning Japanese, understanding Japanese text is included in the Dokkai course. Dokkai is one of the compulsory courses that students of the Japanese language education study program, Padang State University, have to take for approximately 3 years or 6 semesters. The Japanese text does not use romaji letters, but uses 3 different types of letters, namely hiragana, katakana and kanji which make Japanese text difficult to understand. The large number of Japanese language education study program students in 2018 experienced difficulties in understanding Japanese language texts. The purpose of this study is to describe the difficulties of students in understanding Japanese text. This research is a quantitative descriptive study. The sample used in the study was 39 students. The data collection technique in this study used a questionnaire and used a Likert scale formula. While the data analysis technique is descriptive with a percentage. The results of this study found the difficulties experienced by students, among others, the sub-indicator of kanji with a percentage of 74.35%. In the linguistic indicator, students have difficulty with the vocabulary sub-indicator with a percentage of 63.7%, sentence patterns with a percentage of 64% and meaning with a percentage of 61.7%. Then in the indicator of student spelling and sound patterns, only difficulty in the sub-indicator voicing/intonation in reading with a percentage of 63.6%.
ANALISIS PEMBUATAN KATALOG NAIL ART BERBASIS AUGMENTED REALITY PADA FEFE HAIR &amp; BEAUTY SALON

In this case, nail art is the most popular treatment for customers, but according to the owner of Fefe Hair &amp; Beauty Salon, customers do not have more knowledge of nail art in terms of type, color, and treatment method. Therefore, it is necessary to develop technology that is able to explain this for customers at Fefe Hair &amp; Beauty Salon so that customers do not only guess about what is being explained, but customers will also get education directly from the technology made. To solve this problem, the research will be carried out in several stages. The research method used in this research is interviews, literature and questionnaires. Then, the method for making applications is to use the Multimedia Development Life Cycle (MDLC). In the application used, this study uses Adobe Illustrator, Adobe XD, NotePad ++ and Unity.
Automated Complexity Assessment of English Informational Texts for EFL Pre-service Teachers and Translators

Automated text complexity assessment tools are of enormous practical value in solving the time-consuming task of analyzing English informational texts for their complexity at the pre-reading stage. The present study depicts the application of the automated text analysis system the TextEvaluator as an effective tool that helps analyze texts on eight dimensions of text complexity as follows: syntactic complexity; academic vocabulary; word unfamiliarity; word concreteness; lexical cohesion; interactive style; level of argumentation; degree of narrativity, with further summarizing them with an overall genre-dependent complexity score. This research examines the complexity dimensions of English informational texts of four genres – legal, linguistic, news, and medical – that are used for teaching reading comprehension to EFL (English as a foreign language) pre-service teachers and translators at universities in Ukraine. The data obtained with the help of the TextEvaluator has shown that English legal texts are the most difficult for reading comprehension in comparison to linguistic, news, and medical texts. In contrast, medical texts are the least challenging out of the four genres compared. The TextEvaluator has provided insight into the complexity of English informational texts across their different genres that would be useful for assembling the corpora of reading passages scaled on specific dimensions of text complexity that predict text difficulty to EFL pre-service teachers and translators.
HUBUNGAN STIMULASI DAN PENGETAHUAN ORANG TUA TERHADAP PERKEMBANGAN BAHASA PADA ANAK BALITA USIA 1-2,5 TAHUN DI PUSKESMAS I DENPASAR SELATAN

Children's language skills are the most complex form of child development among other children's abilities, because of this, there are many children who experience language disorders or delays. The design of this study is a correlation study with a cross-sectional approach. This research has been conducted at Puskesmas I South Denpasar. The sample size is 40 people, using purposive sampling technique. Data were collected by direct observation with KPSP monitoring tools. The data analysis technique used is the Chi-Square test because the data are not normally distributed. This study aims to determine the relationship between parenting and language development in children 1-2.5 years. The results of this study found that there was no relationship between stimulation (p = 0.477) and parental knowledge (p = 0.385) with language development in toddlers aged 1-2.5 years. The results of this study are expected to be a reference for monitoring the growth and development of infants and toddlers, especially language development at Puskesmas I, South Denpasar.
Implementasi Data Mining Pada Klasifikasi Ketidakhadiran Pegawai Menggunakan Metode C4.5

Not all employee absences have reasons that are always labeled as bad. There is also an absence that can be tolerated by an agency or company, where these reasons are acceptable reasons, for example, due to illness, or certain permits that are considered reasonable and of course have a certain period so that it is not too difficult for the party where he works. The research objective is to determine the extent to which the C4.5 algorithm can help the classification calculation to find solutions so that employee works productivity increases. To find a solution so that employee work productivity increases requires certain techniques and methods, namely by classifying data mining using the C4.5 Algorithm. For data processing to get good results, Rapid Miner 5 Tools are used. The C4.5 algorithm is a type of classification rule in Data Mining. The importance of a classification rule can be determined by two parameters, namely Entropy and the highest Gain. After testing, the results obtained from the C4.5 Algorithm have an accuracy of 81.08%.
The Effect of School Literacy Movement and Reading Interest on the Learning Outcomes

The research aims to identify and describe the significant influence between the school literacy movement on student learning outcomes, reading interest on student learning outcomes, and the school literacy movement and reading interest on student learning outcomes.This research was conducted using a quantitative descriptive method, with data collection through observation, questionnaires, and documentation.The population in this study were all students of SMP Negeri 1 Kayuagung, Ogan Komering Ilir Regency, Indonesia, totaling 750 people, while the sample of this study was 88 people.The data analysis technique used linear regression analysis techniques.The results showed that there was a positive and significant influence between the school literacy movement on student learning outcomes, there was a positive and significant influence between reading interest and student learning outcomes, and there was a positive and significant influence between the school literacy movement and reading interest on student learning outcomes in grade IX with a significance value of 0.00 < α 0.05.
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences

Selectional Preference (SP) captures the tendency of a word to semantically select other words to be in direct syntactic relation with it, and thus informs us about syntactic word configurations that are meaningful.Therefore SP is a valuable resource for Natural Language Processing (NLP) systems and for semanticists.Learning SP has generally been seen as a supervised task, because it requires a parsed corpus as a source of syntactically related word pairs.In this paper we show that simple distributional analysis can learn a good amount of SP without the need for an annotated corpus.We extend the general word embedding technique with directional word context windows giving word representations that better capture syntagmatic relations.We test on the SP-10K dataset and demonstrate that syntagmatic embeddings outperform the paradigmatic embeddings.We also evaluate supervised version of these embeddings and show that unsupervised syntagmatic embeddings can be as good as supervised embeddings.We also make available the source code of our implementation 1 .
Using Digital Newspaper as Creative Learning Media to Boost Students’ Higher Thinking Skills

&lt;p class="8Abstractcontent"&gt;Through creative pedagogical application currently, the concepts of pedagogical strategy which are more technologically oriented than they used to be, transform education into a way where creative and innovative students’ perspectives and motivation are nurtured. Digital Newspaper concept of alignment, which expresses from social science and humanity has been developed useful in creating innovative and skillful academic environments, as it apply to integrate learning with cognitive, kinesthetic, technological, and social-culture aspects learning form. The research conducted by observing students' projects and reveals the way they identify, classify, analyze and create creative learning from the topics of Jakarta Post online content as a learning media. The result of this study shows that using this media which has various current materials can increase students’ higher thinking critically, creatively and innovatively in English language learning. We recommend that in future research, researchers use more online newspaper which is more engaging with the real-world and give positive impact to boost students’ high order thinking skills to solve the problem, to analyze, and to make decisions in their English language performances.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p class="9Keywords"&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; Creative Media, Language Skills, Thinking Skills&lt;/p&gt;