Reviewerly/exHarmony huggingface dataset:
MORAL VALUE AND CHARACTER BUILDING EDUCATION FOLKLORE IN KARONESE “KAK TANGKO BUNGA”

Folklore is a traditional story that has been passed down from generation to generation which has an important role in moral value and character building. The purpose of this study is to describe the important of moral value to building good character though a folklore. This study is descriptive qualitative research design and all the date was collected from book, written document and other supporting information. The result and discussion of this study showed that there are five dominant values contain in folklore Kak Tangko Bunga such as give up beat work hard, help each other, don’t steal, do not lie, and don’t below others. From the research can be concluding that folklore Kak Tangko Bunga had many moral value and character building.
Vehicle tracking algorithm based on deep learning

Abstract Vehicle detection is one of the most important detection targets in target detection. overcoming this problem is of great significance in the field of traffic detection and automatic driving. In this paper, based on yolov4, firstly, the slice module is added to the input, and the silce module slices the image into the backbone to get the sampling feature map without information loss. Then, the SPP module is added to the neck of neck module, and then the Kitti dataset is trained, detected and tested. Experiments show that adding slice module in the input circuit and spp module in the neck can effectively improve the accuracy of vehicle detection Map@0.5 3.4%.
Constraint-Based Causal Discovery with Partial Ancestral Graphs in the presence of Cycles

While feedback loops are known to play important roles in many complex systems, their existence is ignored in a large part of the causal discovery literature, as systems are typically assumed to be acyclic from the outset. When applying causal discovery algorithms designed for the acyclic setting on data generated by a system that involves feedback, one would not expect to obtain correct results. In this work, we show that---surprisingly---the output of the Fast Causal Inference (FCI) algorithm is correct if it is applied to observational data generated by a system that involves feedback. More specifically, we prove that for observational data generated by a simple and σ-faithful Structural Causal Model (SCM), FCI is sound and complete, and can be used to consistently estimate (i) the presence and absence of causal relations, (ii) the presence and absence of direct causal relations, (iii) the absence of confounders, and (iv) the absence of specific cycles in the causal graph of the SCM. We extend these results to constraint-based causal discovery algorithms that exploit certain forms of background knowledge, including the causally sufficient setting (e.g., the PC algorithm) and the Joint Causal Inference setting (e.g., the FCI-JCI algorithm).
Identifikasi Karakteristik Citra Berdasarkan pada Nilai Entropi dan Kontras

Abstract &#x0D; Determining the object boundaries in an image is a necessary process, to identify the boundaries of an object with other objects as well as to define an object in the image. The acquired image is not always in good condition, on the other hand there is a lot of noise and blur. Various edge detection methods have been developed by providing noise parameters to reduce noise, and adding a blur parameter but because these parameters apply to the entire image, but lossing some edges due to these parameters. This study aims to identify the characteristics of the image region, whether the region condition is noise, blurry or otherwise sharp (clear). The step is done by dividing the four regions from the image size, then calculating the entropy value and contrast value of each formed region. The test results show that changes in region size can produce different characteristics, this is indicated by entropy and contrast values ​​of each formed region. Thus it can be concluded that entropy and contrast can be used as a way to identify image characteristics, and dividing the image into regions provides more detailed image characteristics.&#x0D;
Communicative Language Teaching: Its Effect on the Speaking Competence of Grade 11 Learners

Language as the foundation of all human relationships as it is the primary means in communication. It reflects the culture, social interest, and diversity engaging people to understand each other. The study aimed to determine the effects of the utilization of Communicative Language Teaching Strategies in the Speaking Competence of the Grade 11 learners of Hondagua National High School, Second Semester, School Year 2019-2020. The study employed true experimental research design involving the Solomon Four-Groups Design using Control and experimental group. Data used in this study came from four sections of Grade 11 learners (n=40 both experimental and control groups). A self-made test-paper was utilized; the statistical tools includes ztest for dependent and independent populations and One-Way ANOVA. The study revealed that the performance of the four groups in the post-test differs significantly, and the experimental groups performed Very Satisfactorily. With such, it is recommended that said teaching strategy can be used by language teachers in improving speaking skills of learners in language subjects. Additional and complementary instructional materials may be developed for other grade level English and language subjects. Rubrics in assessing the student’s performance in Speaking Competence must be used to ensure the effectiveness of the said teaching strategy.
Protokol HTTPS, Apakah Benar-benar Aman?

In particular, the method used in this research is a case study where previously the p3m.pnp.ac.id website still uses the http protocol. However http protocol does not have a method of securing data in its communication. The final result of this research is the design and implementation of the https protocol for data communication security that occurs between visitors and the p3m.pnp.ac.id website. The https protocol that has been implemented is tested to ensure the data traffic on the p3m.pnp.ac.id website is guaranteed to be safe and protected from possible piracy and data theft.&#x0D;
Prototype of Dual Axis Solar Tracking System for Solar PV Plate

The goal of this thesis was to develop a laboratory prototype of a solar tracking system, which is able to enhance the performance of the photovoltaic modules in a solar energy system. The operating principle of the device is to keep the photovoltaic modules constantly aligned with the sunbeams, which maximises the exposure of solar panel to the Sun’s radiation. As a result, more output power can be produced by the solar panel.The work of the project included hardware design and implementation, together with software programming for the microcontroller unit of the solar tracker. The system utilised an ATmega328 microcontroller to control motion of two DC motors, which rotate solar panel in two axes. The amount of rotation was determined by the microcontroller, based on inputs retrieved from four photo sensors located next to solar panel.At the end of the project, a functional solar tracking system was designed and implemented. It was able to keep the solar panel aligned with the sun, or any light source repetitively.Design of the solar tracker from this project is also a reference and a starting point for the development of more advanced systems in the future
Knowledge Management and Job Performance: The Case of Lebanese Banking Sector

This study examines the impact of knowledge management on the job performance of Lebanese banking sector during 2019. The research employed knowledge acquisition, knowledge sharing, knowledge creation, knowledge codification and knowledge retention as proxies to analyze the knowledge management variable. The job performance is measured by considering quantitative and qualitative variables. The research reveals that knowledge acquisition, knowledge sharing, knowledge creation and knowledge retention have a positive impact on the job performance of the Lebanese banking sector. The result also reveals a non significant impact of knowledge codification on the job performance. The knowledge management should be as a mandatory condition in banking sector for making high level of job performance.
An Efficient Point of Gaze Estimator for Low-Resolution Imaging Systems Using Extracted Ocular Features Based Neural Architecture.

A user's eyes provide means for Human Computer Interaction (HCI) research as an important modal. The time to time scientific explorations of the eye has already seen an upsurge of the benefits in HCI applications from gaze estimation to the measure of attentiveness of a user looking at a screen for a given time period. The eye tracking system as an assisting, interactive tool can be incorporated by physically disabled individuals, fitted best for those who have eyes as only a limited set of communication. The threefold objective of this paper is - 1. To introduce a neural network based architecture to predict users' gaze at 9 positions displayed in the 11.31° visual range on the screen, through a low resolution based system such as a webcam in real time by learning various aspects of eyes as an ocular feature set. 2.A collection of coarsely supervised feature set obtained in real time which is also validated through the user case study presented in the paper for 21 individuals ( 17 men and 4 women ) from whom a 35k set of instances was derived with an accuracy score of 82.36% and f1_score of 82.2% and 3.A detailed study over applicability and underlying challenges of such systems. The experimental results verify the feasibility and validity of the proposed eye gaze tracking model.
Analysis of Errors in Conjunction in Factual Genre Essay Middle School Students (SMP) in West Lombok Regency

Conjunction is a very important linguistic element in writing as a bearer of the total meaning of the ideas of a writing. The purpose of this study is to describe the errors of the use of conjunctions in the factual essays of junior high school students in West Lombok Regency, mainly related to the use of conjunctions at the phrase, sentence, and paragraph level. The research data was obtained through listening, documentation and introspection methods. The data that has been collected is analyzed using the matching method and the aggregate method. The results of the data analysis show that the use of conjunctions between sentences and between paragraphs are incorrect. However, based on the use of conjunctions in syntactic behavior can be classified into five types, namely; (a) mistakes in the use of coordinative conjunctions, (b) errors in the use of subordinative conjunctions, (c) errors in the use of correlative conjunctions, (d) errors in the use of conjunctions between sentences, and (e) errors in the use of conjunctions between paragraphs.
Socially distanced psychoacoustics

This presentation will describe the successful adaptation of a psychoacoustic study on acoustic analogs of flutter echoes for remote participation. The data collection software was installed on a campus server and the investigators guided the participants through three different listening tasks via screen-sharing and videoconferencing.
A Comparison Experiment On Software Quality Testing With Machine Learning Using Different Algorithms

The software quality is a particular property that indicates the regular software. The main success factor and departure of software-related organisations in a software project is efficiency. Machine-based standard deviation and mean use of CMMI as a software quality assurance model – which in computer software are structured in terms of objectives, obligations, capacities, tasks, measurement and above all validations via the engineer-based application of ISO 9000/9001-3. Different algorithms such as Random Forest, Decision Tree, Gradient Boosting, Bagging Classifier, Logistic Regression, Bernoulli-NB and CNN are used in this paper to predict software qualities. It contributes to solving and handling a program's time complexity and enhances software efficiency, reliability and security issues
미국 대학 계승어 학습자의 생애주기별 한국어 교육과 숙달도에 관한 탐색적 연구

This study investigated how Korean proficiency among Korean Heritage learners shows in accordance with Korean education received before their young adulthood. Korean education was categorized into three types: ‘formal Korean education in Korea’, ‘Korean education at home’, and ‘Korean education at institutions in the United States’. The survey was conducted on the specific timing and contents of the type of Korean education they experienced before young adulthood. It was found that groups that were educated in all three types of Korean education had higher Korean proficiencies in young adulthood than those that were not educated in all three types. In addition, the first period of Korean education of the advanced Korean proficiency group was different depending on the types of Korean education: preschool years (3-6 years old) for the ‘formal Korean education in Korea’, toddlerhood (0-1.5 years old) for the ‘Korean education at home’, and early school years (6-11 years old) for the ‘Korean education at institutions in the United States’, but what all of these periods have in common is that they are before adolescence(11-18 years old). The results of this study will provide directions for Korean education contents and timing by life cycle for Korean heritage learners. It could also be used as a basic material for specific curriculum developments and Korean education policies.(Yonsei University)
GENDER CHARACTERISTICS OF THE TRANSLATIONAL-INFORMATIONAL COMPONENT OF UKRAINIAN CIVIL SERVANTS’ PROFESSIONAL COMMUNICATION CULTURE

The article highlights the problem of gender peculiarities of translational-informational functional component of Ukrainian civil servants’ professional communication culture. On analyzing the results of empirical research, it can be concluded that civil servants’ professional communication culture has significant gender differences in some indicators. Among male civil servants, the most common is the average level of psychological literacy in professional communication and the identical level of psychological competence in professional communication. The majority of female civil servants have a high level of psychological literacy as well as psychological competence in professional communication. Only female civil servants’ orientation in professional communication correlates with the acmeological invariants of the personality’s professionalism in business communication.
Regular Expressions for Network Automation

This chapter is dedicated to learning regular expressions basics. Python provides native ways to process and dissect strings of text but requires many lines of code to locate the exact string. Although Python provides powerful string indexing methods, in real life you will face challenges each time you need to handle a large string. I find it fascinating that no other Python network automation books genuinely emphasize the importance of data wrangling (or massaging) with regular expressions. Many books sweep regular expressions under the rug as it is not the most exciting topic to discuss. I realized that I must master regular expressions to get anywhere with any programming language. Still, I also did not dare tackle it seriously at first. Only when I started working on real projects did I realize my ignorance over regular expressions. I understand that this chapter’s content will be painful to digest for many readers, but you should stick with it and focus on completing this chapter; you will thank me later.
Influence of Buginese Language Interference to Students Cability in Correctly Indonesian Language at SDN 15 Bonto-Bonto in Pangkep District

Indonesian is official language of Indonesia Republic, actually only a small proportion of Indonesian population used it as a mother tongue. The most part, Indonesian is a second language. Juanda (2017: 22) state that the Indonesian language recognized as a national language and as a unifying tool by all existing ethnic groups, so divisions will be avoided because ethnic groups be one. In South Sulawesi Especially in Pangkep Regency, most of population used Buginese language as their first language(B1),. Indonesian use as first language it interference by second language (B2)  and it affected found several errors in used Indonesian language. The research objective determined Buginese language interference to students' capability to speak Indonesian properly and correctly at SDN 15 Bonto-bonto, Ma'rang District, Pangkep Regency. The research objective determined Buginese language interference to students' capability to speak Indonesian properly and correctly at SDN 15 Bonto-bonto, Ma'rang District, Pangkep Regency. The results of analysis of research data calculated used simple linear regression showed that rcount <of significance value (0.033 <0.05), so there is a significant influence between Buginese language interference on student's capability to use correctly Indonesian language at SD Negeri 15Bonto-bonto District Ranger of Pangkep Regency and significance value is 0.334.
수학 학습 동기에 관한 이론적 고찰 : 자기결정성이론을 중심으로

The purpose of this study is to develop a consistent structure that explains mathematics learning motivation based on self-determination theory. To achieve this purpose, we examine the operational definition of motivation, the identification of factors affecting motivation, and the teaching strategies to strengthen students’ motivation. As a result of the study, based on the operational definition of motivation, the mathematics learning motivation is an adaptive process to use one’s will according to the value of each student in the mathematics subject. The factors affecting the mathematics learning motivation include basic needs for relatedness, autonomy, and competence, and suggested teaching strategies to support them. Through the list of teaching strategies presented in this study, we hope that teachers will integrate in different ways to develop and apply teaching strategies suitable for their mathematics classrooms.
Identification and Classification of Toxic Comment Using Machine Learning Methods

The increase in penetration of usage of internet services has increased exponentially in the past 4 months due to the ongoing pandemic, this has empowered an enormous number of dynamic new and old clients utilizing the web for different administrationsranging from academic, entertainment, industrial, monitoring and the emergence of a new trend in the corporate-life i.e work-from-home. Due to this sudden emergence of the crowd using the web, there has been an ascent in the number of mischievous persons too. Now it is the primary task of every online platform provider to keep the conversations constructive and inclusive. The best example can be referred to, can be twitter, a web-based media stage where people share their views. This platform has already drawn a lot of flak because of the spread of hate speech, insults, threat, defamatory acts which becomes a challenge for many such online providers in regulating them. Thus, there is active research being conducted in the field of Toxic comment classification. Here wecollatenon-identicalmachinelearning and other trivial techniques on the dataset and propose a model that outflanks all others and compares them one-on-one. We have undertaken the Kaggle dataset for the above reason which has been broadly used and one of the prime resources for scholars working in deducing the challenge of toxic comment classification. The results would help up to create an online interface where we would be able to identify the toxicity level in the given phrase or sentence and classify them into their order of toxicity.
Peningkatan Hasil Belajar PAI tentang Taharah melalui Pembelajaran Berbasis Literasi Digital

This research aims to find out the increase of students’ achievement in VII grade of Islamic Junior High School of Cendekia, Cianjur by using digital literacy-based learning. It was conducted in Taharah lesson. The subjects were 49 students of VII-a and VII-d including 22 males and 27 females. This Classroom Action Research was conducted within two cycles. Data collection techniques were done by test and observations. They were then analyzed using descriptive analysis techniques comparing the results among data of each cycles. The results indicated an increase of students’ achievement. In the first cycle it was only in low then raise into fair, and finally in good category. The score was going up from 57,2 to 71,9 and 83,6 at last.
Evaluation Index System for Teaching of kindergarten teachers under the Environment of Network Public Opinion

Preschool curriculum, as the starting point of children’s education, has an important guiding significance for people’s whole life. As information technology continuously develops, “the Internet + Education” has become the inevitable development of the new normal of education. Because it can simulate learning materials to children in a more real way, stimulate their interest in learning and promote their personality development. Therefore, more and more attention is paid to the informatization of preschool curriculum. However, including China’s preschool curriculum into compulsory education is faced with a lot of practical difficulties. Through the investigation, the relevant countermeasures were put forward to these practical difficulties, and then the analytic hierarchy process was used to study the importance of the relevant countermeasures, for example, the government should increase the investment in preschool curriculum, strengthen the construction of teaching staff, increasing school teaching facilities, and strengthen the government supervision and supervision of all parties to promote the process of including preschool curriculum into the compulsory education.
El docente digital en la enseñanza-aprendizaje de inglés en la UAM-Azcapotzalco

espanolEl uso de las nuevas tecnologias en el proceso ensenanza- aprendizaje implica que los docentes adquieran conocimientos tecnicos y didacticos para una implementacion efectiva. El objetivo del siguiente trabajo es hacer una reflexion de las competencias digitales que usa el profesor de ingles para impulsar el aprendizaje significativo en el proceso de la ensenanza-aprendizaje. EnglishThe use of new technologies in the teaching-learning process implies that teachers acquire technical and didactic knowledge for an effective implementation. The objective of the following work is to reflect on the digital skills used by the English teacher to promote the meaningful learning in the teaching-learning process.
A Novel Dbmd Implementation for Big Data Mining and Clustering Via Cloud Computing

Matrix structure was one of the most important devices for finding data from big data. Here you’ll find data produced by current applications using cloud computing. However, moving big data using such a system in a performance computer or through virtual machines is still inefficient or impossible. Furthermore, big data is often gathered data from a variety of data sources and stored on a variety of machines using scheduling algorithms. As a result, such data usually bear solid shifted commotion. Growing circulated matrix deterioration is necessary and beneficial for big data analysis. Such a plan should have a good chance of succeeding. Represent the diverse clamor and deal with the correspondence problem in a disseminated manner. In order to do this, we used a Bayesian matrix decay model (DBMD) for big data mining and grouping. Only three approaches to disseminated computation are considered: 1) accelerate slope drop, 2) alternating path method of multipliers (ADMM), and 3) observable derivation. We look at how these approaches could be mixed together in the future. To deal with the commotion’s heterogeneity, we suggest an ideal module weighted norm that reduces the assessment’s differentiation. Finally, a comparison was made between these approaches in order to understand the differences in their outcomes.