Reviewerly/exHarmony huggingface dataset:
Dynamic Feature Selection for Classification in Structured Environments

In many real–world applications, e.g., medical diagnosis, behavioral analysis, Bayesian networks are used to describe relationships between variables. However, such variables are not directly observable, but can be inferred through noisy but costly features. In this paper, our previously proposed framework of dynamic instance–wise feature selection and classification is extended to work with structured data instances, i.e., data instances where relationships between classification variables are represented using a known Bayesian network. The objective is to maximize classification accuracy while minimizing the total cost of selected features. To this end, starting from lowest degree nodes, the proposed method sequentially selects features for each variable in the Bayesian network and performs classification. The resulting classification decisions are propagated through the Bayesian network and used during the classification process of the remaining variables. The performance of the proposed method is illustrated on two datasets and its effectiveness is compared with existing methods.
Enhancing Scientific Research and Innovation: The role of the Computer Educator

Research is a very important aspect of society as it helps in increasing the stock of knowledge and information through systematic and creative work.Research involves the collection, organization and analysis of data/information to better understand a topic or issue.The process of collection, organization and analysis can be rather cumbersome if the necessary technologies or innovations are not applied.There is need for expertise in these processes.In this descriptive study, 40 Computer Educators were surveyed and their responses showed that computer educators play a prominent role in the pyramid chain of scientific research and innovation.This is further heightened by the global Covid-19 pandemic which has put humans on lockdown and ensured that most activities are carried out virtually or remotely.The relevance of computer literacy is further buttressed as research can become continuous even with the lockdown as long as the necessary skills and expertise are available.The implications of these findings are discussed in the light of available literature.
Circuit-Variant Moving Target Defense for Side-Channel Attacks

The security of cryptosystems involves preventing an attacker's ability to obtain information about plaintext. Traditionally, this has been done by prioritizing secrecy of the key through complex key selection and secure key exchange. With the emergence of side-channel analysis (SCA) attacks, bits of a secret key may be derived by correlating key values with physical properties of cryptographic process execution. Information such as power consumption and electromagnetic (EM) radiation side-channel properties can be observed during encryption or decryption. These signals reflect data-dependent system behaviours that may reveal secret key information. Power and EM SCA attacks require several measurements of the target process to amplify the signal of interest, filter out noise, and derive the secret key through statistical analysis methods. Differential power and EM analysis attacks rely on correlating actual side-channel measurements to hypothetical models. The goal of this research is to increase the complexity of both power and EM SCA by introducing structural and spatial randomization of the target hardware. We propose a System-on-a-Chip (SOC) countermeasure that will periodically reconfigure an AES scheme using randomly located S-box circuit variants. We hypothesize that changing the location of the target modules between encryption runs will result in a nonconstant EM signal strength for any given point on the chip, increasing the number of traces needed to perform a localized EM SCA attack. Further, each of the S-box circuit variants will consist of functionally equivalent, structurally diverse hardware. By diversifying the implementations at the gate-level, we aim to vary the power behaviour observed by the attacker and disrupt the correlation between the hypothetical and actual power consumption, increasing the complexity of power SCA. This moving target defense aims to disrupt side-channel collection and correlation needed to successfully implement an attack.
Klasifikasi Penduduk Dengan Tingkat Ekonomi Rendah Menggunakan Metode Klasifikasi Naive Bayes

The effort to reduce poverty, it is hoped that the economic growth of a region can be spread evenly. To equalize the economic level of its citizens, local governments provide many opportunities for their citizens to get help or subsidies and even help open businesses so that the welfare of their citizens can be improved. The availability of accurate and sustainable citizens' economic status data is one of the important instruments for evaluating government policies in alleviating poverty by distributing targeted aid. Therefore, this study will conduct a classification based on data from citizens with low economic levels obtained from Pasar Babakan Sub-district, Bogor. The data used in this study is the data of underprivileged residents who are in Pasar Babakan Sub-district Bogor using data mining techniques. The training data are taken from 214 citizens that has a category of underprivileged citizens with attributes used in the classification of income per day, occupation and number of dependents. The test results using the Naive Bayes Classifier method produce 100% accuracy including the excellent category with 100% precision and 100% recall.
Building a Website as a Learning Media at SMP Negeri 1 Gunung Tanjung, Tasikmalaya Regency

Cooperatives are institutions that run on the principle of kinship. Cooperative activities prioritize the welfare of their members and aim to increase the economic growth of the community. In the context of quality control and improvement, it is necessary to assess the health of cooperatives from both external and internal parties of the cooperative itself. So far, the health assessment of cooperatives and savings and loan units is still done manually. This affects decision making when viewed from the speed factor, calculations and the availability of supporting data. The results of this health assessment are the starting point for the community to give trust. With the health predicate rating system for savings and loan cooperatives and web-based savings and loan units, the officers and owners of cooperatives can provide a quick health assessment. The cooperative aspect is based on PerMen NO. 14/PER/M.KUKM/XII/2009 namely Capital, Assets, Management, Earning. Liquidity, Independence and growth and identity. This system generates cooperative health scores and predicates, dashboard information as a visualization of the assessment results, prints certificates and prints assessments
PBM E-Questionnaire: Application Development and UI / UX Analysis

Batam State Polytechnic declares itself as a tertiary institution which is very concerned about the quality of its education. This achievement was reported through the implementation of an education quality assurance system through study programs accredited by BAN-PT. One of the quality assurance services for education is through feedback studies on learning services through study programs. Almost every year in Batam State Polytechnic, study programs apply for accreditation to BAN-PT. Then along with these activities needed data quickly and completely. However, in reality, it is not uncommon for the drafting team to experience obstacles in obtaining the data. Based on this, in this study, an electronic PBM questionnaire application was made from several parties including lecturers, students, alumni, and alumni users (stakeholders). Making an application using the Research and Development (RnD) method and analysis in the Interface and Experience section. The results of the study with the average achievement percentage reached 88.3% showed that the user interface of the E-Questionnaire website application was very well received by the user.
impact of COVID-19 in an ESP course: An unforeseen adaptation to distance teaching

The unexpected COVID-19 outbreak in the middle of the school year 2019-2020 and the subsequent declaration of the state of emergency by the Spanish government brought about a dramatic change in classroom structure along with digital innovation at all levels worldwide. Traditional classes inevitably needed to be shifted to an unprecedented as well as unexpected non-face-to-face model that both teachers and students had to use without prior training and which, consequently, required great effort and dedication. This article describes a case study of this adaptation process as it actually ensued in an eminently practical subject. On the other hand, it also examines the students’ perception based on an assessment survey on the methodology and activities implemented along the course. The results show the right and wrong choices made in the process, the students’ opinion about them together with potential solutions to correct the bad practices identified in the study. Finally, this article shows the extraordinary evolution of the use of new technologies in education as unforeseen one year ago.
Introduction

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
Improving Students’ Achievement In Descriptive Text Through the Application (STAD) Student Team Achievement Division

Language learning is very important for human’s social development. As a language which is used by more than a half of population in the world, English hold the key as international language. English is a tool of communication among peoples of the world to get trade, social-cultural, science, and technology goals. Moreover, English competence is important in career development, therefore students need to understand and use English to improve their confidence to face global competition. The purpose of teaching writing is to value and improve the skills of writing from the students. The population of this research will be 2014/2015of the eight year students of SMP Al Maksum Stabat. It consist of 30 students, 16 boys and 14 girl. Their age about 14-16 years old. Because the total of the students is less than 100, it is better to take the population as a sample. There are significant differences before and after the students get treatment. For the 30 students, 21 students get the result more than 75 point. It means that 80 percent of the students get more ability in writing after get the treatment. Keywords: writing skill, worksheet
Pothole Detection Using Optical Camera Communication

Optical camera communication (OCC) is a potential candidate for the commercial deployment of vehicular communication. Recently, researchers have focused on the development of an OCC-based advanced driver assistance system. In this paper, we have proposed a pothole detection and road banking angle estimation technique from the rear LED shapes of the forwarding vehicle using OCC to ensure safe and comfortable driving. Mathematical approaches, as well as neural network-based methods, have been developed to provide highly accurate results. The proposed system is also applicable to detect stuck vehicles in icy conditions.
Il caso dell’aborto: una buccia di banana per la SCOTUS?

SOMMARIO: 1. La questione dell’aborto e la perdita di credibilità della Corte Suprema statunitense - 2. Una tempesta perfetta? - 3. La partita della fiducia.&#x0D; The case of abortion: a slippery slope for SCOTUS?&#x0D; ABSTRACT: The case of the right of abortion in the United States is going to represent much more than a mere legal question. The upcoming decision of the Supreme Court of the United States (SCOTUS) on the matter involves its own credibility as a third party institution in a check and balance system where the SCOTUS is increasingly perceived as a political player. In this paper the A. tries to explore why it is so.
The Student’s Errors on The Use Of Adjectives with The Suffix–Ly

This study deals with student’s errors on the use of adjectives and adverbs with the suffix–ly and regarding adjectives and adverbs identical in form mainly in–ly form and in without–ly form. This survey only investigates them in the written exercises. They cover descriptive adjectives, manner adverbs, intensifying adverbs, and sentence adverbs. The objective of this study is to find out the types and the causes of errors made by student’s on the use adjective and adverbs with the suffix–ly. The sample of this study is 30 student of the third year students of SMA Negeri 13 Medan. This study uses a descriptive quantitative design. The instrument for collecting data consists of a teacher made test in the multiple choice form. The percentage of the student’s errors is dominantly occured in descriptive adjectives from 900 item occurrences, there were 423 errors which categorized into 5 sub categories on the use of adjectives and adverbs with the suffix–ly. Firstly, the use of descriptive adjective was 151 (35,70 %) errors divided into the use with the suffix–ly was 67 (15,84 %) errors and the use without the suffix–ly was 84 (19,86 %) errors. Secondly, the use of manner adverbs was 159 (35,22 %) errors divided into the use with the suffix–ly was 89 (21,04 %) errors and the use without the suffix–ly was 60 (14,18 %) errors. The other one is the use of intensifying adverbs with the suffix–ly was 64 (15,13 %) errors, another one is the use of time adverbs with the suffix–ly was 37 (8,75 %) errors, and the last one is the use sentence adverbs with the suffix–ly was 22 (5,2 %) errors. It is concluded that the errors are due to neglect of rules regarding the use of adjectives and adverbs with the suffix–ly. In short, the errors were dominantly caused by intralingual transfer on the use of adjectives and adverbs with the suffix–ly. It recomended that further in depth studies on the use of adjectives and adverbs with the suffix–ly had be done for the betterment of the teaching-learning process.
Improving Students’ Vocabulary Mastery by Using Audio-Lingual Method on Grade VIII Students of SMP Negeri 4 Pematang Siantar

This study is based on the important of vocabulary. Vocabulary is an important component of language use because Vocabulary is one of the aspects of language besides grammar and pronunciation. In this research, the researcher using Audio-Lingual Method to improve students’ mastery vocabulary. The main objective of this study is to describe the use of Audio-Lingual Method in teaching and to identify how much students’ mastery in vocabulary improvement after being taught by using Audio-Lingual Method. This study is classroom action research that was done in two cycles. The data collection was done using observation and test. The data from the observation that had been taken from every cycle analyzed descriptively while the data from test were analyzed quantitatively. The use of Audio - Lingual Method in teaching at class VIII - 2 Students of SMP Negeri 4 Pematangsiantar was conducted in two cycles including cycle one and cycle two. The participant of this study was 32. The result of this study shows that using Audio-Lingual Method can improve students’ mastery vocabulary. This is proven by students’ test score that improved in every cycle. In the first cycle, the students’ average score was 60,00 and in the second cycle students got 68,90 and the Post cycle 76,56. Audio-Lingual Method is an appropriate technique used to improve students’ mastery vocabulary. The result of this study is helpful information for English teachers in teaching vocabulary Key words: Improving, Mastery Vocabulary, Audio-Lingual Method, Classroom Action Research
Design of Visualization System for Digitalization of the Discrete Manufacturing Industry

This paper is mainly based on the author’s several years of experience in enterprise digitalization projects, and designs a set of data visualization systems for the production digital scene of discrete manufacturing, aiming to help discrete manufacturing practitioners quickly realize a data visualization system that meets management requirements. In addition to the characteristics of general data visualization system, this system also makes targeted design and optimization for the characteristics of production planning of the discrete manufacturing industry, such as multiple varieties and small batches, relatively frequent changes of production plan, and multiple types of work involved, especially for real-time data and dynamic monitoring, some optimization algorithms have been made. The design plan includes, but not limited to the overall system architecture, functional module division, innovative functional design, partial implementation contents and several sample effects. And based on this design principle, the author has successfully implemented a visualization system for many local companies and received good feedback.
Analysis of effects of a short-term English program for work-study college students

The purpose of this study was to examine the effects of a short-term English program designed for work-study college students on the learning outcomes and experiences. We analyzed changes in TOEIC scores, learner beliefs, and learning experiences of 24 students who participated in the six-week program. Changes in learning experiences were analyzed through sentiment analysis of learning diaries using Google Natural Language API. Our findings showed that the outcomes varied according to the attendance rate, with the high attendance group showing a statistically significant increase in TOEIC scores. As for the changes in learner beliefs, the high achievement group showed increased positive beliefs about learning outcomes and confidence while the low achievement group perceived learning English as difficult, and their confidence remained unchanged. Sentiment analysis of learning diaries to evaluate the changes in learning experiences showed a V-shaped curve for the sentiment scores of the high achievement group whereas the low achievement group’s scores decreased as the program progressed. Based on the word cloud and qualitative analysis of the diaries, the key learning obstacles were irregular attendance, lack of study time, and difficulties in understanding the lessons.
The Effectiveness of Gamification to Improve Writing Simple S-V-O Sentence among Year 2 Pupils

Past studies found that most Malaysian ESL learners face difficulties in arranging the S-V-O sentences correctly.Gamification in education can boost engagement levels among pupils in the same way that games can, encouraging pupils to develop their specific talents and maximise their knowledge.Therefore, this research identified the effectiveness of an innovation called Gamification to improve simple S-V-O sentence construction among Year 2 pupils by focusing on the simple S-V-O sentence construction.The result of the writing examination showed that low proficiency pupils did not score well.Most of them faced problems in constructing S-V-O sentences correctly without guidance from the teacher.Besides, some pupils had low motivation and engagement in writing sentences as they felt the writing lesson was boring.Apart from that, teachers are also facing problems to design an intervention to teach S-V-O sentences to weak pupils.Hence, the sample for the study consisted of 10 low proficiency research participants from Year 2 class in two primary schools in Kuala Langat, Selangor.This study helps to improve Year 2 pupils' ability in writing simple S-V-O sentences.Pre-and post-test along with a set of questionnaires distributed to analysed data and explored the effects of using Gamification whether it guides Year 2 pupils in improving simple S-V-O sentence construction correctly.The findings of this study from test 1 and test 2 demonstrated that the pupils improved in writing S-V-O sentence structure correctly because it created a fun learning environment for the pupils to learn the S-V-O sentence structure effectively.
Explainable Artificial Intelligence in Natural Language Processing

Explainable Artificial Intelligence has received a lot of interest and has been growing steadily in the last few years.This is because Machine Learning and Deep Learning domains overgrew creating more complex models that are highly accurate but lack explainability and interpretability.The aim of this paper is to present two most used modelagnostic explanation methods and experiment with them on a conversational dataset.
Flood Evaluation in Bula District Seram Bagian Timur

Bula District is strategic region in Seram Bagian Timur Regency which often experienced flood event especially in downstream areas. Flood Event that occurs causing loss of materials, even human life. This research was conducted to identify inundation that caused by the flood using two-dimensional inundation model. Model’s component consists of three part those are hydrology module, flood routing and inland flooding. Flood simulation result was calibrated with flood observation map in Bula District. Flood simulation resulted with flood discharge 25-year times period shows that inundation area that probably happen in Bula District is 5,4 km2 and flood volume that probably happen is 7,406,708 m3. Bila Besar Watershed contribute &gt;70% to flood event that occurs based on inundation area and flood volume. Based on map overlay between simulation result into Satellite Google Imagery shows that 31.8% of 2,390 unit building in Bula District probably inundated by flood.
The structure and functions of interpersonal trust

In the article, it is shown that in psychology, trust characterizes as one of the factors determined both interpersonal and all social relationships generally.This factor is directly an integral part of the mechanism that ensured the integration and stability of society. The author emphasized the important role of trust having in human life and concludes that the main function of trust is theadjusting of interpersonal relationships. İn the article, it is analyzed detailed elements and structure of the interpersonal trust. By the author also is shown that the concept of trust is one ofthe most important componentsin the structureof the spiritual world of person existing.
Site investigations with earthquakes in mind

Site investigations where earthquakes are an issue must, at least in Europe, satisfy the principles and application rules of EC8. Although in many cases this will not be burdensome to the construction industry there are situations where conventional procedures will not be adequate. The form and content of the desk studies may have to be remodelled and, on site, specialist services will have to be properly deployed and managed.