Reviewerly/exHarmony huggingface dataset:
A practical approach for applying machine learning in the detection and classification of network devices used in building management

Abstract With the increasing deployment of smart buildings and infrastructure, supervisory control and data acquisition (SCADA) devices and the underlying IT network have become essential elements for the proper operations of these highly complex systems. Of course, with the increase in automation and the proliferation of SCADA devices, a corresponding increase in surface area of attack on critical infrastructure has increased. Understanding device behaviors in terms of known and understood or potentially qualified activities vs unknown and potentially nefarious activities in near‐real time is a key component of any security solution. In this paper, we investigate the challenges with building robust machine learning models to identify unknowns purely from network traffic both inside and outside firewalls, starting with missing or inconsistent labels across sites, feature engineering and learning, temporal dependencies and analysis, and training data quality (including small sample sizes) for both shallow and deep learning methods. To demonstrate these challenges and the capabilities we have developed, we focus on Building Automation and Control networks (BACnet) from a private commercial building system. Our results show that “Model Zoo” built from binary classifiers based on each device or behavior combined with an ensemble classifier integrating information from all classifiers provides a reliable methodology to identify unknown devices as well as determining specific known devices when the device type is in the training set. The capability of the Model Zoo framework is shown to be directly linked to feature engineering and learning, and the dependency of the feature selection varies depending on both the binary and ensemble classifiers as well.
Digital Learning Technologies in Processes of Innovation and Democratic Change? – Reflections and Questions

Innovation with digital technologies in formal teaching and learning processes with the purpose of educating learners to become global citizens suffers from inertia. In particular, when it comes to innovation with digital technologies within processes of collaboration and dialogue. It seems that digital dialogue in education utilized for democratic change appears a complex challenge to address. However, historically, new technological innovations have often been rejected. It takes a long time to become accustomed to new technology and to realise its advantages, let alone to be actively utilized (Castells, 1998). Regardless of attitudes towards technology in general, the arguments have been strong for preparing learners for a future in a society permeated with digital technologies.
The effectiveness of generating interactions between schemata and text (gist) strategy towards the students’ writing skill in Indramayu

Many students have difficulties in writing the text. Some of the problems in writing such as the difficulties in expressing their idea into the words, time consuming activities and the limited number of vocabularies. This study focused on the effectiveness of GIST (Generating Interaction between Schemata and Text) strategy in improving students’ writing skill at the second grade of SMK Negeri 1 Sindang. The GIST is strategy for taking notes while the students are reading and writing good summaries. This strategy works on many levels, this allows students to put concept into their own words. This activity helps teachers and students to identify key concept. By using quasi-experimental method non-equivalent design, the instruments of this research were pre-test and post-test. The participants of the research were class XI TOI 1 and XI TOI 2 of first semester in SMK Negeri 1 Sindang. Each class consisted of 33 students. The statistical analysis showed the value of Tobs was 2.23 while the value of Ttable was 1.669 which means Tobs was higher than Ttable 2.23&gt;1.669 (Tobs&gt;Ttable). It means that the GIST strategy is effective in teaching and learning writing especially in report text.Key words: GIST strategy; writing skill; report text
ANALISIS KESALAHAN BERBAHASA PADA PESERTA “MASTER CHEF INDONESIA 2020”

This research is motivated by the importance of the use of good and correct Indonesian in any context including in electronic media. The purpose of this study is to analyze some of the errors and language errors spoken by participants of Master Chef Indonesia 2020. This study uses descriptive qualitative methods by describing the data obtained in the form of sentences used by Indonesian Master Chef participants. The data source in this study was the participants of the Indonesian Master Chef 2020. The data collection technique was carried out with literature study techniques, namely by (1) watching the Indonesian Master Chef 2020 show again, (2) writing errors in the Master Chef Indonesia 2020 show, (3 ) classifying language errors in Master Chef participants in phonology, morphology, and syntax. The content analysis technique is used to describe the language errors of the participants of the Indonesian Master Chef. Based on the data found, there are several language errors that have been classified, namely language errors (interference) and language errors in the field of linguistics (phonology, morphology, and syntax).
The Effect of Service Quality, Learning Quality, and Promotion Strategy on Parents' Decisions in Choosing ABC Primary Schools

To survive in the competition, educational institutions must maintain the quality both in terms of the teaching staff used and in terms of the learning provided to students. This study examines the effect of service quality, learning quality, and promotion strategies on parents' decisions in choosing primary schools for their children. Purposive sampling technique was used in the data collection process, where the respondents were the parents of students from ABC primary school as many as 100 respondents. The test results show that the quality of the teaching staff, the quality of the learning methods used, and the school's promotion strategies are essential aspects that parents consider in determining the primary school for their children.
How to Predict the Long-term Course of Neurodegenerative Diseases?

The aim of this work is to predict the disability state in neurodegenerative disease, such as multiple sclerosis (MS), using clinical batabases and machine learning techniques. This prediction could help clinicians select a more specific treatment for MS patients.
Students’ Vocabulary Mastery through Word Wall at SMPN 44 Surabaya

The aim of this research was to find out how far the Word Wall to improve students’ vocabulary mastery at SMPN 44 Surabaya. Classroom action research was applied to the 40 students of the class 7-D as the subjects of this research. In applying the Word Wall, there were two cycles applied consisting of three meetings for each cycle. The researcher used the students’ tests result to measure the improvement of their vocabulary achievement. The results of this research showed the increasing students’ vocabulary mastery proven by the results of the tests conducted. Mean of the pre-test was 50 and mean of the post-test in cycle I was increased becoming 70. Then, mean of post-test in cycle II was significantly improved in 93. The research was stopped in the cycle II in regard of the criteria of success was 82.5%. The researcher found out there were a significant students’ vocabulary mastery after implementing the Word Wall. it is recommended English teachers who teach vocabularies should apply the Word Wall Strategy regarding can help students easily to understand the content of the texts. For the students, they can use and have more exercises with the Word Wall to enrich their vocabularies in daily activities. For other researchers, it is suggested to conduct the similar research by exploring the areas of focus in other English skills.&#x0D;
Coping with large multi-level class in English language learning

To improve students’ English proficiency, Indonesian Civil Aviation Institute has placed TOEFL® preparation in the curriculum of study program. Nevertheless, the learning design was not common compared with similar program of TOEFL® preparation in another institution. ICAI put a single teacher in class consisted of 24 students with various skills. Consequently, the English teacher had to employ a strategy to cope with this large multilevel class. This qualitative research was conducted to analyze the teacher’s strategy. Its purpose is to give enlightenment toward the conformity between learning design and learning objectives. A pre-test and post-test were given to a determined class and the grades were compared to see the fulfillment of the objective. An observation and note taking was undertaken during the learning process to explain the strategy. The result shows that the teacher occupy cooperative learning through flexible grouping to cope the class challenge. While the result shows 57% students in the class were able to gain 500 as minimum required score, it has implication in examining the learning design in broader context.Keywords: classroom; multilevel; teacher-students ratio
Wikis in School Libraries

The Web 2.0 thinking and accompanying technologies opened a new direction of development for libraries. Among different Web 2.0 applications wikis are particularly attractive for school librarians. Wikis are read-write web pages that are easy to use, accommodate other Web 2.0 features and are widely applicable for a number of purposes. A Wiki space named LibraryZone is a good example of using wiki in elementary school library. LibraryZone is used for information literacy instructions, conducting a collaborative project, for story writing and as a discussion space.
ANALYZING THE POSITIVE VERBAL REINFORCEMENT OF STUDENT TEACHER IN EFL CLASSROOM

AbstractThe objective of the study was to find out the types of positive verbal reinforcement that used by English student teacher in EFL classroom. The study used a qualitative method. This study involved an English teacher and students as the participants. The researcher used Tape Video recording to get the data. She used transcription and codifying techniques to analyze the data. The result showed that the teacher used three types of verbal reinforcement namely words, phrases, and sentences. The researcher found out 27 words, 22 phrases, and 10 sentences of verbal reinforcement that used by teacher in EFL classroom.Keywords: positive, verbal, reinforcementAbstrakTujuan penelitian adalah untuk menemukan jenis-jenis kata penguatan yang digunakan oleh guru PPL dalam kelas. Penelitian ini menggunakan metode kualitataif. Penelitian ini melibatkan seoarang guru PPL Bahasa Inggris dan siswa sebagai subjek penelitian. Peneliti menggunakan teknik rekaman vidio untuk mengumpulkan data. Peneliti menggunakan teknik transkripsi dan pengkodean untuk menganalisa data. Hasil penelitian menujunkan bahwa guru PPL Bahasa Inggris menggunakan tiga jenis penguatan yaitu kata, frase dan kalimat. Data menunujkan bahwa terdapat 27 kata, 22 frase dan 10 kalimat penguatan yang digunakan oleg guru PPL Bahasa Inggris di dalam kelas.Kata kunci: positif, kata, penguatan
The Semantic Frames and Quantitative Characteristics of Chinese Event Noun

Event noun is an atypical noun, representing event instead of object.Based on the theory of frames semantics, this article aims at studying the semantic frames and quantitative characteristics of event nouns and finds that nouns in the same event domain have the same semantic frame.Generally speaking, the core frame elements of greater prominence are more likely to form event nouns.Besides, the quantitative characteristic of event noun is closely related to its semantic frame, maintaining the features of the spatiality of common noun, so that it can co-occur with noun classifiers.Furthermore, event noun boasts the temporal and bounded characteristics of social phenomena, for which it can co-occur with time classifiers and verb classifiers as well.
Scatter: a Missing Case?

Scatter is a multivariate transform proposed in combination with the Chi $$^2$$ and MIA distinguishers at COSADE 2018. Its primary motivation is to inherently deal with the misalignment and synchronization issues that may decrease the efficiency of concrete side-channel attacks. In this paper, we first show empirically that when compared to natural competitors for first-order multivariate attacks (e.g., exploiting linear regression on-the-fly), it does not bring improvements in the (simulated and actual) implementation settings studied by its authors. We then show that the same holds in the higher-order case: in most practically-relevant settings, Scatter works best when combined with a combination function mixing the leakage samples in a non-linear manner, bringing it back to a situation where it does not improve standard distinguishers.
Note on Irreducible Polynomials over Finite Field

In this note we extend an irreducibility criterion of polynomial over finite fields. Weprove the irreducibility of the polynomial P(Y ) = Yn + Î»nâˆ’1Y nâˆ’1 + Î»nâˆ’2Y nâˆ’2 + Â· Â· Â· + Î»1Y + Î»0, such that Î»0 6= 0, deg Î»nâˆ’2 = 2 deg Î»nâˆ’1 + l &gt; deg Î»i, for all i 6= n âˆ’ 2 and odd integer l.
Kampung literasi dalam potret masyarakat Desa Maredan Barat Kecamatan Tualang Kabupaten Siak

Literacy Village is a village area that is used to create people who have broad knowledge and understanding. At the same time, it is also a program to realize the Sustainable Development Goals in 2030. An important effort made as the first step to build a Literacy Village in Maredan Barat physically is to build a Community Reading Park, as well as building positive perceptions of the community towards Literacy Village. This paper will explain the efforts made in building this Literacy Village. To get feedback and people’s perceptions about the activities done, 56 respondents were asked to give their responce to the given questionnaire. Respondents were selected by stratified random sampling. The results of the questionnaire analysis show that the community has a positive perception of the development of Literacy Village. In general, activities of Literacy Village development can be said to be successful, although there are still obstacles due to the Covid-19 pandemic.
Implementasi Algoritma Naive Bayes Untuk Memprediksi Predikat Ketuntasan Belajar Siswa Pasca Pandemi Covid 19

During the Covid-19 pandemic, SMA Negeri 3 Selong changed learning activities from what was originally face-to-face, but currently learning is being transferred to the Online Learning System (SPADA) using several existing platforms. Judging from the level of plurality of students' thinking patterns during the implementation of online learning there are many problems that arise, one of which is the instability of the internet network, the various hendpone media devices owned by students and the lack of student knowledge in using online platforms. The purpose of this study was to determine the indicator of the problem in the predicate of student learning completeness of class XII SMAN 3 Selong during the post-COVID-19 pandemic. The method used to solve this problem is the Naïve Bayes algorithm. Naive Bayes is a method of probabilistic reasoning. And in the future the results of this study are expected to be able to provide the right solution in solving problems in online learning.
Information Technology Utilization in Library Services: An Assessment of the University Libraries in Lahore

Presently information technology is attractive center step the whole world into a global village with a global economy, which increasingly dependent on the innovative management and sharing of information technology.The objective of this study was to find out the stage of information technology utilization in the library services of the university libraries in Lahore.It is significant that to point out focus of this study was the central libraries of the universities in Lahore.To appreciate this objective, the researcher went through a multiple phase research process.In which the first phase, different sources of literature were reviewed to understand the different aspects of access and use of information technology in the university libraries and the instrument of questionnaire was used in the light of the reviewed literature.In the second phase, data were collected through the questionnaire.The population of this study was the university central libraries in Lahore that had been utilize information technology in library services.In the third phase, the data collected were analyzed by SPSS version 17.0.
The Effect of Using Look, Spell and Read (LSR) Interactive Application towards Reading (CV+CVC) Skills among Slow Learner Students

Language literacy is the most important skill to be mastered because it is one of the mediums used to deliver teaching contents in the classroom.One of the language literacy needed in learning is the reading skills.This research aimed to identify the impact of using LSR interactive tool on slow learner students' reading skills.A total of thirty slow learner students and two teachers who had five years of experience in teaching special education class were selected as respondents.This research was pre experimental in design because it involved only one group of study sample.The instruments used were pre-test and post-test, and interview protocols for teachers and pupils.Data were analyzed using descriptive and inferential analysis through Statistical Program Social Science (SPSS) version 22.The paired t-test result showed that there were positive and significant impacts (t= -23.57, df=29, P<0.05) of using LSR interactive tool on slow learner students' reading skills.Meanwhile qualitative data through teacher and student interviews showed similarity when both groups agreed that using LSR interactive tool helps slow learner students improve their reading skills.The use of multimedia elements such as text, graphics, animation, video and audio has helped a lot in capturing students' attention and interest and this also has indirectly helped improve their reading ability.All students suggested that more words be built in LSR and the use of 3D graphics be increased as these have attracted them to learn.It is hoped that this study can be a trigger and reference for further studies related to the use of interactive applications in particular to assist the learning process of special education students.
A Study on Pre-service Teachers’ Satisfaction on Adapted Physical Education E-learning Supplement

This study investigated pre-service teachers' level of satisfaction toward two different format of Adapted Physical Education (APE) instructional supplement in Physical Education Teacher Education (PETE) course. The APE instructional supplement about inclusion strategies for individuals with Intellectual Disability (ID) was developed based on instructional design model (Dick, Carey, & Carey, 2005). Two groups of pre-service teachers (N=50) took the same content supplement with different delivery system, E-learning group (n=25) with online, traditional group (n=25) with the printed handout.A modified Post-Study System Usability Questionnaire (PSSUQ) measured the level of satisfaction toward the supplement.The results indicated the e-learning module (M = 5.357, SD =.633) was more effective than the traditional supplement in completing the task of the supplement (M = 2.79, SD = .699).(t [13] = 9.527 p< .001).On the satisfaction level for the organization of content, the e-learning group (M = 5.357, SD = .750)had statistically higher satisfaction levels than the tradition group (M = 3.643, SD =.297) (t [13] = 6.450, p< .001).However, satisfaction on the quality of content was not statistically significant between the e-learning (M = 5.142, SD = .662)and the traditional group (M = 5.286, SD = .611)(t [13] = .922,p = .435).
The Sentiment Analysis Reviewing Indosat Services from Twitter Using the Naive Bayes Classifier

This study aims to design a machine learning model of sentiment analysis on Indosat Ooredoo service reviews on social media twitter using the Naive Bayes algorithm as a classifier of positive and negative labels. This sentiment analysis uses machine learning to get patterns an model that can be used again to predict new data.
Level of Education as an Influential Factor of Moral Value among Students of West Bengal

This paper used survey research. The main objective of the study was to know the influence of level of education on moral value among the students. Some other independent variables like- stream of education, occupation and father’s education also included in the study. 165 representatives were selected with the help of stratified random sampling technique. Moral values of the students were measured with the help of “Test for Moral Values among School Students" developed by B.M. Benjamin [1] and translated in the Bengali language by L.L. Mohakud and N.D. Ghorai [2]. Available data were analyzed through Mean, SD, t-test and one-way Analysis of Variance (ANOVA) using the statistical package for the social sciences (SPSS) version 21. Findings of the study revealed that moral value between higher secondary (HS) level and postgraduate (PG) level students differ significantly. Other findings have been drawn accordingly. Hence, it can be concluded that as moral value/ judgment of higher secondary level students is different from the moral judgment of postgraduate level students.
Writing analytics across essay tasks with different cognitive load demands

Essay tasks are a widely used form of assessment in higher education. Writing analytics can assist with challenges related to using essay tasks at scale and to identifying different issues in academic integrity. In this paper, we combined two techniques to investigate how students’ writing analytics varied across essay tasks with different cognitive load, considering both their typing behavior (i.e., writing process) and writing style (i.e., writing product). We also examined their relationship across these essay tasks. Findings showed that writing processes change across tasks with different cognitive load: when cognitive load increases, the interword intervals (indicator of planning and/or reviewing processes) increased, the burst length (indicator of translation processes) decreased, and the number of revisions per minute (indicator of reviewing processes) decreased. In contrast to the relation between the writing process and cognitive load, the relation between the writing product and cognitive load was found less clear. The results showed small and mixed effects of the tasks differing in cognitive load on the different writing product metrics. Hence, although the writing product follows from the writing process, the relation between cognitive load and the writing product and process appears to be less straightforward.
AN ANALYSIS OF CODE SWITCHING USED IN CLASSROOM

This study is aimed at analysing the forms or types of code switching and describing the meaning of the forms used by teacher or students in English learning process in classroom. In conducting this reseearch, the writer used descriptive method. The data were taken during English lerning process, where, there are teacher and students in. To collect the data the writer used recorder and notes. The data collected were analyzed by doing Unitization, Categorization, Explanation and Interpretation in English words and sentence, used as code switching during the classroom.The findings in this study show that code switching used by teacher and students during the English learning process are form of intersentensial code switching, intrasentensial code switching and tag switching. The meaning of those forms or sentence depend on structure of the sentence or context of the sentence. It is expected that, this research can give a contribution to the development of sosiolinguistics, and give motivation to other researcher to combine or improve the same topic of research in the future to develop English leraning process. Keywords: Code Switching, English Learning Process