Reviewerly/exHarmony huggingface dataset:
How Intertextuality Appears in the Students’ Written Texts

This study shows how students read and understand historical texts on the basis of intertextuality. The students in this study wrote on the Independence Club(독립협회) and the act of dissolution by King of Gojong (고종). Most of them often relied on textbooks when writing. But some of them tended to use the internet for further, detailed information about topics, not referring to the books they had read, such a reliable source of knowledge. And they were rather attracted to the opinions opposing to what they had already known without cross-checking multiple sources. Most of the students recognized that each text they read adopts its own different perspectives or interpretations. But they failed to distinguish between the facts and the interpretations included in the texts. Some of them constructed their own narratives by filling the knowledge gaps with false information and even envisaged the aims and purposes of historical characters. A few of them were found just copying what a textbook says, or writing nothing, to clear up the confusion they were having. Most of the students, influenced by the social environment or context, interpreted the given topic with the frame of democracy versus dictatorship. Those who considered the direction of the Independence Club(독립협회) as democracy often claimed that democracy should be established. Also they believed that democracy is a natural condition for all human races. However, when seeing that democracy would be difficult to realize, some of them doubted and denied the possibility of democracy ironically. Even though the national curriculum, textbooks, and teachers’ classes were well structured, the students did not accept as intended.
Deductive or Inductive Technique: An Experimental Study on the Academic Writing of the Sixth Semester Students of Semarang State University

Most scholars tend to say that teaching is an art meaning that there is artistry in the way lecturers associate with students in order to foster their understanding.However, teaching is also considered to be science since based on certain research, there are some strategies or techniques to be effective in enhancing learning.In this paper, the writer investigated the superiority of the teaching technique whether it is deductive technique or inductive technique for the teaching of academic writing.Two classes of the sixth semester students of the English department of State University of Semarang (Unnes) were taken as samples each of which consisting of 30 students was given different treatment, inductive and deductive technique.The result shows that the t-value of inductive is 1.390 and the t-table is 0.683 and the tvalue of deductive is 8.092 and the t-table is 0.683.From the result of the t-test, it shows that the t-value of deductive is higher than the t-value of inductive and compared to the t-table, the t-value of deductive is more significant than it is in inductive strategy.Thus, it can be concluded that deductive technique is more effective than inductive technique applied in the teaching of academic writing.Therefore, it is recommended that in teaching academic writing lecturers may elaborate more in using deductive technique than in using inductive technique.The lecturers may start from giving the concept or rules and explain them in detail then gives the students examples and then ask them to practice by following the rules.
Suggesting a New Approach on Identifying Degree of Separability in Signal Detection, for Using in Channel Estimation

Signal Detection Noise removal, is a very important issue in channel estimation, and increasing performance of signal transformation in cognitive networks. Therefore it is necessary to have a criterion for evaluating the degree of correctness and reliability of the signals. Nowadays neural networks has very important role in calculations and if it combined with statistical methods they will produce perfect results in separability detection.&nbsp;&nbsp; In this paper, we used the separability degree as a criterion for separating and identifying noise from the main signal. We use statistical Hypotheses and declare some statistical&nbsp; thresholds&nbsp; for signal validity to get the signal more suitable by increasing noise detection quality. This method supposes two states for our signal that are false detection of weak signal, and correct detection of the main signal. All these will be done by statistical_neural methods.
Enhancing Candidate Engagement

In the last chapter, we learned how to enhance the posting capabilities of SAP SuccessFactors. We now take a look at the next step in the process, candidate engagement. Candidate engagement describes the process of increasing candidate participation in your recruiting activities. In other words, once you have marketed the jobs you have available, how do you help maximize the number of qualified candidates who apply to those postings? If candidates do not see a posting that interests them, how do you keep their interest until the right job posting is available? In this chapter, we explore strategies and tools for increasing candidate engagement before stepping through the practical case study of building a chatbot.
Fuzzy logical conclusions and conclusions in expert systems of medical diagnostics

The main problems in making a correct diagnosis are: subjectivity and insufficient qualifications of the doctor, difficulties in correctly assessing the patient’s complaints, signs and symptoms of the disease observed in the patient, as well as individual manifestations of the symptoms of the disease. In publications on the use of expert systems for medical diagnostics using fuzzy logic, the main attention was paid to the medical features of the problem. In this work, for the first time, general methodological aspects of building such systems, creating databases, representing by fuzzy sets of real numbers, digital scales, linguistic and Boolean data of symptom values are formulated. The types of membership functions that are advisable to use to represent the symptoms of diseases are proposed. In fuzzy-logical conclusions, not only the values of the characteristic functions of the logical terms of individual symptoms, but also complex arithmetic functions of their values are used.
The Interplay of Blockchain Technologies and Data Protection

The new technological infrastructures such as blockchain cause challenges in respect of compliance with the continuously stronger data protection principles around the world. Particularly the relatively strict data privacy provisions in Europe have a substantive impact on blockchain business models. This contribution analyses the manifold (but mostly not unsurmountable) tensions caused by blockchain characteristics to data protection objectives and outlines to what extent distributed ledgers can also serve as privacy-enhancing tools.
Data Mining dalam Menganalisis Faktor Alasan Pemilihan Perumahan

The house is a basic human need, where the house is a means of resting and gathering with the family, the choice of housing type greatly affects the comfort of someone who will live in the house, such as choosing where the location, facilities, accessibility and even more important is the price that fits the pocket of the candidate. housing owners, this study discusses analysis in the selection of housing in batam city, the variables used are the accessibility factors related to distance and ease of reaching a place., typology is related to the size of the settlement, price, payment for houses, data analysis is carried out with the concept of extracting information on the C4.5 algorithm by testing the results and obtaining the decision tree using the opensource rapidminer tools. From the data processing, the result shows that the factors that really influence people to choose and buy a house in the research object are price, accessibility and typology.
PENGEMBANGAN BAHAN AJAR MEMBACA PERMULAAN BERBASIS TEKNOLOGI MARI MEMBACA UNTUK SISWA KELAS RENDAH DI MASA PANDEMI COVID-19

This study was carried out by the findings of researcher, where there was the second grade students at Bojong Koneng Elementary School who didn’t have the early reading skills. From the results of the initial observations conducted by researchers, this problem happens due to the use of teaching materials that are still conventional during the implementation of online learning, especially in the Covid-19 pandemic period. The purpose of this study was to obtain a solution to the problems that occurred at Bojong Koneng Elementary School. The researcher chose to develop technology-based early reading teaching materials as a solution. The research instrument used in this study is the guidelines interviews, expert validation sheets, and documentation. The final result obtained by the researcher, based on the validation of the develop technology-based early reading teaching materials has a very valid feasibility rate.
Dissipative IT2 Fuzzy Control for Nonlinear Systems with Stochastic Occurring Sensor Saturation

This paper investigates the issue of dissipativity-based fuzzy control for nonlinear systems in the framework of interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy method. The uncertainties that exist in considered systems are depicted by lower and upper membership functions (LUMFs) and interrelated weighting functions. During designing a fuzzy controller, a crucial problem, stochastic occurring sensor saturation, which is built via the Bernoulli random distribution process, is taken into consideration. The controller design is more flexible since the membership functions (MFs) have diverse forms compared with studied systems. Based on Lyapunov stability theory, sufficient conditions are derived to guarantee the stochastic stability and strictly dissipative performance of closed-loop systems. Finally, simulation results are provided to illustrate the usefulness of the control approach proposed in this paper.
Student Perceptions of Online Learning: Student Opinions and Expectations

The case of Covid-19 affects the world of education. One of the consequences is that learning to be carried out online is decided by the Indonesian government. However, in learning, this strategy is burdensome for learners. The goal of this case study is to find out student opinions on online applications are used, what their challenges are, and what online learning expectations of students are. This research uses a questionnaire to find out student opinions using a Google form. Ninety-two students from various universities were the number of respondents. To get results, the questionnaires that have been collected are evaluated manually. The outcome of this study is that most of the software used by lecturers was unable to enhance the comprehension of the content being learned by students. During this pandemic, the hope of students in learning is to increase discussion time and time to complete assignments, not too many assignments, and the strategy of the university to have internet quota buying subsidies
Obstacles to Applying the Principle of Disclosure and Transparency in Higher Education Institutions: An Exploratory Study in Private Universities in the Sultanate of Oman

The study aimed to explore the obstacles to applying the principle of disclosure and transparency in higher education institutions in private universities in the Sultanate of Oman. The qualitative method was used through in-depth interview as a tool to reveal the opinions of the study sample about the obstacles to applying the principle of disclosure and transparency in private universities, Oman. The sample consisted of (12) individuals from the administrative leaders in the universities under study. The study results reported a number of obstacles to the application of disclosure and transparency in Omani private universities, where (83%) of the sample agreed that there was weak disclosure transparency in the university's budget and the spending items. In addition, (50%) of the sample agreed that there was weakness of credibility and transparency when applying policies, internal work controls, subjective evaluation of the employee’s performance by his direct manager, and weak awareness of the importance of disclosure and transparency among managers. Therefore, the study recommended activating disclosure and transparency mechanisms in private universities in Oman by adding the principle of disclosure and transparency as an independent measure within the standard of governance and management to obtain institutional accreditation, and by providing electronic systems with integrated services and functions.
Theoretical Principles of Creating a Subject-Subject Relationship Between Teacher and Students as a Basis for Creative Cooperation

The article considers the essence of subject – subject relationship. The author proved that creative cooperation, interaction, in which is based on the subject-subject relationship, aimed at a deeper reflection of one's own world and its enrichment with the world of another person. The analysis presented by the author allows us to understand the value of subject-subject relationships for the teacher as his ability to be a significant person in the development of the future specialist. In this context, creative cooperation, the teacher's relationship with students is a value-meaning-oriented activity that allows to find not only the meaning of interaction, but also the meaning of one's own life. Not only from the standpoint of subject-subject interaction, but also from the standpoint of «internal dialogic consciousness» of the teacher during the interaction Dialogic consciousness involves empathic perception of features, «deep» penetration into the human world. At the heart of the subject-subject relationship between teacher and student is dialogue. The participants of the dialogue are in a state of understanding. Dialogue involves: interest in human subjectivity, the desire to know the peculiarities of worldview, values, and attitudes and provides an opportunity based on the involvement of the worlds of teacher and student to internalize their values, views, positions in the student's worldview. Its participants. In the process of such a dialogue there is a self-realization of the creative «I-concept» of both the teacher and the student. The ability to present oneself is important for a teacher. And this is not only knowledge of the subject taught, pedagogical skills, but also openness to present the world of their hobbies.
Histograms, Contours, and Stream Plots

In the previous chapter, you learned many ways to create visualizations with lines, bar plots, and scatter plots.
The Development of Lectora Inspire Media Based on Jombang Local Culture for

Process in SD level requires learning media to attract students' enthusiasm for learning. activities in classroom can follow the development without reducing moral education and student creativity. Introduction of local culture is necessary in the learning process so that students can understand the culture around them. This study to determine the development of media by Lectora inspire with cultural in country for the fourth grade of SD, and to find the quality of media in learning SD. This research was carried out at SD Kepanjen 2 Jombang in May 2020/2021 using R&amp;D (Research and Development) but refers to design of ADDIE and its acronym is Analyze, Design, Development, Implementation, and Evaluation. The subjects of the media trial were 20 from class IV-A SD Kepanjen 2 Jombang. The research instrument used a validation sheet and questionnaire with quantitative data analysis techniques and qualitative data. The results of the study in validity percentage is 94.775%. (very valid also worthy of use without improvement), with each material expert rating of 91.55% (very valid also eligible to be used without improvement), and media experts of 98% (very valid also eligible to be used without improvement). The product trial from students obtained an overall percentage assessment of 90.45% (very interesting), while the educator's assessment of 91.7% Lectora inspire-assisted learning media was very interesting and very suitable for use in elementary learning. So it can be concluded that the interactive media developed is very valid and can also be used in learning.
Type-2 Neuro-Fuzzy Control for a Class of Nonlinear Systems

In this paper, a type-2 neuro-fuzzy control for a class of nonlinear systems is studied. Firstly, an integral-type sliding mode controller (SMC) is designed to ensure that the error converges in a finite time. At the same time, the saturation function as an effective way to alleviate chattering is utilized. Moreover, a type-2 neuro-fuzzy networks (T2NFN), in which network parameters can be adjusted online, is used to approximate the designed SMC. In order to improve the generalization ability, T2NFN combines a recursive feature selection algorithm. In particular, due to the added robust compensator, the issue of the approximation error also can be overcome. Finally, the T2NFN controller is applied to the active power filter (APF) to show its superiority.
The Influence of Chinese University Students' Reinforcement Sensitivity on Cyber Violence

With the popularity of the internet in China increasing, especially among young people and college students, it has become an indispensable part of life. However, Chinese college students either engage in violence via the internet or are targeted by online violence, causing major concern within Chinese society. Currently, the adverse consequences of online violence conducted by Chinese college students have attracted the attention of domestic college student affairs managers. This study, with the influence of reinforcement sensitivity on cyber violence as the starting point, analyzes punishment sensitivity and cyber violence and the relationship between the two by building a structural equation model. It was found that reward sensitivity is prominently related to cyber violence, and that punishment sensitivity have no obvious relevance to cyber violence. On this basis, it is proposed that university student administrators should pay attention to the high reward sensitivity of college students' satisfaction acquisition channels; college students with high reward sensitivity who participate in cyber violence for a sustained period need proper intervention. Improvements are needed in students' cognition and they should be taught how to deal with online violence.
The staircase property: How hierarchical structure can guide deep learning

This paper identifies a structural property of data distributions that enables deep neural networks to learn hierarchically. We define the property for functions over the Boolean hypercube, which posits that high-order Fourier coefficients are reachable from lower-order Fourier coefficients along increasing chains. We prove that functions satisfying this property can be learned in polynomial time using layerwise stochastic coordinate descent on regular neural networks -- a class of network architectures and initializations that have homogeneity properties. Our analysis shows that for such staircase functions and neural networks, the gradient-based algorithm learns high-level features by greedily combining lower-level features along the depth of the network. We further back our theoretical results with experiments showing that staircase functions are also learnable by more standard ResNet architectures with stochastic gradient descent. Both the theoretical and experimental results support the fact that staircase properties have a role to play in understanding the capabilities of gradient-based learning on regular networks, in contrast to general polynomial-size networks that can emulate any SQ or PAC algorithms as recently shown.
Peningkatan kemampuan membaca permulaan siswa kelas 1 SDN 01 Sengare melalui penggunaan media kartu kata

The research was designed in the form of classroom action research which was carried out in two cycles. Each cycle consists of stages of planning, implementation, observation, and reflection. Research data were collected through observation and tests at the end of each cycle. Based on the results of the research and discussion of classroom action research, it is shown that through the medium of word cards students' initial reading ability can be increased. This can be seen through the first cycle of completeness, it is known that 11 students who are declared complete with a percentage of 68.75% and students who do not complete as many as 5 people with a percentage of 31.25%; with an average score of 69.5. The percentage of completeness and the average value in the first cycle have not reached the indicators of research success so that it needs to be continued in the second cycle. The results of the second cycle showed students who completed 14 students with a classical completeness percentage of 87.5% with an average value of 90.5. In addition, student activity during the learning process also increased from 70% in the first cycle to 85% in the second cycle. From the results obtained, the researcher concluded that word card media could improve the early reading ability of 1st graders at SDN 01 Sengare.
Bias Detection and Mitigation in Sentiment Analysis

Natural language processing applications play an important role in our daily life. Even if the success of these applications is high, the decisions they take may not be fair and may contain bias. Especially in decision making systems that affect human life, it is important that this application be fair (not biased towards individuals or groups) and explainable. There may be many resources of bias such as the training data set, the algorithm which is used or the trained model. In this study, gender bias in the data set in sentiment analysis was examined. In the study, both Turkish and English data sets were used and the results obtained for the two languages were compared. And also in the study, the results of different feature extraction methods in the test results were compared by using different feature extraction methods with classical machine learning. In addition to these, in the study, the reason for this bias was investigated and it was studied to mitigate it. Comparative results were obtained by using classical machine learning together with word2vec and fasttext for bias detection. Studies have been made to reduce bias using Google's text-to-text transfer model T5 and LSTM (long short-term memory) models.