Reviewerly/exHarmony huggingface dataset:
Developing Machine Learning Coding Similarity Indicators for C and C++ Corpuses

In the digital era of technology and advanced automation, data or information is vulnerable to copying, altering, and claiming someone else's work as their own.Source code theft or e-plagiarism is challenging to track in hundreds of assignments submitted by students.Despite the year's efforts, the digital plagiarism detection software currently available performs well enough for a naïve programmer to detect literal plagiarism.The available source code similarity detectors provide insufficient results when a student uses complex strategies such as word substitution or reordering programming constructs.To overcome the above-mentioned challenges, this research aims to deliver an assistive forensic engine for the professors and teaching assistants to evaluate the similarities in the student's assignments.This research's primary objective is to help the evaluators get closer to the sophisticated code thieves and abide by the university's academic dishonesty regulations.The proposed forensic similarity detection engine's constructive methodology is specially designed for studies where C and C++ programming languages are majorly used in academic assignments.After selecting the ATM (Attribute counting metrics), the system implementation is divided into two phases, where phase one consists of lexical analysis and tokenizer customization.The second phase mostly consists of rolling out the supervised learning algorithm on the generated data to classify the comparison of two files as a truth value.The similarity elements and observations recorded can be represented to the evaluators in the form of visualizations for ease of understanding and efficient decision making.The paper also relates the proposed system with the previous and existing system and mitigates the past issues noted in the latter half.
Detecting the Use of Undisclosed Privileged Information

Enforcing regulators worldwide are mandated to discourage the use of privileged undisclosed information in security trading, as it may distort the true relative prices of securities and may lead to a market failure.This may be an impossible task, given the huge number of indications of such suspicious activity.Deviations of the bid-ask spreads from the optimal spreads provide real-time indications that some market participants may possess undisclosed privileged information.If we relied only on the real-time information that the bid-ask spreads deviate from the theoretical optimal spreads, our 3-years sample would generate over 11M deviations.This quantity of indications is unmanageable, both for the enforcing regulator, and for the uninformed market participants.In this study, we construct a mechanism that will enable market participants to significantly reduce the number of suspected cases to a manageable number.We establish an ex-post calibrated likelihood index that estimates the likelihood that profit-oriented traders desire to exploit undisclosed privileged information that they possess.Our mechanism is based on the hypothesis that at any point in time when the likelihood index that predicts how likely traders are to exploit privileged information is positively correlated with an abnormal increase in the bid-ask spreads, then, probabilistically, these transactions should be suspected cases of illegal price-distorting trading.
TEACHER’S TALKS IN CLASSROOM INTERACTION AT BANI ADUNG ISLAMIC BOARDING SCHOOL BANTEN

The objectives of this research are to find out the categories and students’ perceptions of teacher’s talks that were applied by the English teacher in the teaching and learning process at Bani Adung Islamic Boarding School based on the framework Flander’s Interaction Analysis Categories (FIAC), and to know the students’ perceptions about the teacher’s talks. The participants of this research were the English teacher and the eighth grade students of the setting. The method of this research was qualitative descriptive method, and observation sheet, audio recording and questionnaire were used for data collection. The data taken from the teacher’s talks applied by the teacher in classroom activities were analyzed qualitatively. The result showed that the most dominant category was giving directions (29%), followed by asking the questions (27.5%), and the last category was accepting or using ideas of students (2.9%). The indirect talks were lower than direct talks. As a result, the teacher-centered method was found to be the most prevalent during classroom interaction. Students also preferred to be praised or encouraged, and effective language in the classroom was required. It is recommended that the teacher use all types of teacher talks in the classroom. They should, however, be based on the needs of the students.
Cross-Cultural Differences That Occurred During The Trip Provided by Malang Tourism Information Center and Strategies to Cope With It

This study aimed to find out what were the types of cross-cultural differences that occurred during the open-trip services that was provided by Malang Tourism Information Center and how the tour guides deal with it. The research was conducted by observing the interaction of the tour guide and the guests during the trip. The observation was conducted for three months from January to March 2020. The participants of this research were a female tour guide and several foreign guests that came from several different countries. The data showed that cross-cultural differences that occurred were in the form of Ethnic Culture, Universal Culture, and Individual Culture. Language and punctuality became the most obvious barriers as the guests sometimes did not share similar language for communication as well as similar point of view about the punctuality. The tour guides used listening and respecting differences strategies to cope with the conflicts that occurred. These two methods were also effective in preventing problems due misunderstanding that were caused by the cross-cultural differences.
Driver's Anger Recognition Based on SVM

This paper takes the driver as the research object, establishes a vehicle driving data set based on the driver's emotions, builds a support vector machine (SVM) model to recognize the driver's anger.And the effects of linear kernel function, polynomial kernel function, gaussian kernel function and sigmoid kernel function on the recognition result of SVM model are discussed separately.The results show that the sigmoid kernel function is completely unsuitable for driver anger recognition.The gaussian kernel function has the best recognition effect, which accuracy rate, recall rate and F1 score are significantly higher than other kernel functions, and the accuracy is not much different.Therefore, the SVM model based on the gaussian kernel function is more suitable for the recognition of the driver's anger emotion, and provides a theoretical basis for the driver's road anger early warning device.
Improving Students’ Reading Comprehension on Persuasive Text Through Storytelling

This research deals with the improving students’ reading comprehension achievement on persuasive text through storytelling. This research is aimed to find out the improvement of the students’ reading comprehension achievement on persuasive text if teaching by applying storytelling. The design of the research is conducted by using action research method. It was done through planning, action, observation, and reflection. The subject of this research is the 2013/2014 students of the Grade XI of SMA Swa Bina Karya Medan. This research applies quantitative and qualitative method. Quantitative data are taken from the students' reading comprehension test. Qualitative data are taken from diary notes, interview, and observation. The result of the research shows that there is improvement of students’ reading comprehension on persuasive text through storytelling. Keywords : Improving,Reading Comprehension,Persuasive Text,Storytelling
Pengaruh Bimbingan Belajar dari Orangtua dalam Peningkatan Prestasi Belajar Pada Siswa

Seeing the importance of how to educate parents in the family environment, the authors conducted a study with the aim to find out if there is a relationship in the way parents educate in the family environment with children's learning achievement in school. In this study, the authors determined a sample of 35 private junior high school students YWKA Medan who live with parents and both parents are still alive, through random sampling techniques. To collect data, closed questionnaires are used, to obtain data on how parents educate and documentary studies to obtain student learning achievement. Respondents' answers are given a value by giving a value weight for option a given a value of 4, for option b is given a value of 3, and for option c is given a value of 2, and for option d is given a value of 1. To find a correlation between the way parents educate and learning achievement is used pearson product moment formula as follows:&#x0D; &#x0D; Where: x is the value of the questionnaire, and y is the student's learning achievement. To test a hypothesis with a significant level of 5% or by using a belief level of 95% used a table r (correlation table) with a sample number of 35 people. Thus the result of the calculation obtained the value r = -0.08 and the value of r in the correlation table is 0.334. This means that there is a very low correlation. Thus it can be proven that the hypothesis in this study is rejected. So the author can conclude that the way parents educate is good can not improve students' learning achievement.
Geophysical characteristics of the Belaya Gora gold deposit (Khabarovsk Krai, Russia)

Research subject . SThe geophysical fields and physical properties of altered gold-bearing rocks within the Belogorskoye ore field and the Belaya Gora gold deposit located in the Khabarovsk Krai. Materials and methods . Magnetic field and the distribution of electrical resistivity and polarisability obtained during land-based surveys as well as magnetic susceptibility, apparent electrical resistivity and polarisability of the samples from trenches and drilling cores have been studied. The analysis of the spatial correlation of the features of geophysical fields and gold mineralisation has been carried out. The physical properties of rocks are analysed depending on the intensity and type of superimposed hydrothermal alterations and gold content. Results . A significant decrease of magnetic susceptibility for all types of altered rock is indicated. Differences in electrical resistivity and polarisability are observed for hydrothermally altered rocks of the pre-ore stage and ore-bearing metasomatites. The former, with a relatively increased electrical resistance, have the highest polarisability (within the ore field), while the latter are characterised by an even higher resistance, but with the significant decrease in polarisability, which remains slightly elevated relative to unaltered rocks. These patterns also determine the geophysical characteristics of the ore field and deposit. The gold ore field is characterised by a significant decrease in the magnetic field intensity, an areal anomaly of increased polarisability, and, in general, an increased apparent electrical resistance. The deposit itself, as an area covering ore bodies, is generally characterised by an even more intensive increase in apparent electrical resistivity and a relative decrease in polarisability against its generally high background. Conclusions . Based on the performed research, a geophysical model of the Belaya Gora gold deposit is proposed, which may be used as a reference during the planning of geophysical works and the interpretation of geophysical data during the exploration works for epithermal gold mineralisation within the volcanic-tectonic structures in the Nizhne-Amursky region.
Analisis Tingkat Keusangan dan dan Paro Hidup Literatur Monograf yang Disitir pada Skripsi Mahasiswa Program Studi Ilmu Perpustakaan Fakultas Adab dan Humaniora UIN Sulthan Thaha Saifuddin Jambi Tahun 2017-2020

Introduction This study aims to determine the level of obsolescence and half-life of monograph literature used in thesis writing for students of the Library Science Department, Faculty of Adab and Humanities, UIN Sulthan Thaha Saifuddin Jambi. This is on top of the importance of using new literature in every scientific writing to show progress or developments in the field of science.&#x0D; Research methods. The research uses quantitative methods with a bibliometric approach.&#x0D; Data analysis. data analysis using bibliometric analysis formula in finding the level of obsolescence and half-life of documents.&#x0D; Results and Discussion. The results show that the highest level of literary obsolescence is found in the thesis in 2019 with a percentage of 55.87% of the 571 books cited, which are 319 books, and the lowest level of obsolescence is found in the thesis in 2017 with a percentage of 46.22% of the 357 cited books, namely a total of 165 books. While overall from 2017-2020 the average obsolescence rate obtained was 50.89%. For the level of up-to-date literature is 49.31% based on the average age of the half-life obtained, which is 10.39 years.&#x0D; Conclusions and suggestions. Looking at the percentage of monograph literature used in student thesis writing, there are 49.31% new literature and 50.89% obsolete literature. So it can be said that more than half of the monograph literature used in student research is not up-to-date. Libraries located in higher education institutions at the level or level that have the skills to meet user needs, especially in making thesis by providing the latest literature can present up-to-date and useful information in the development of science, especially in the field of Library Science.&#x0D;
Wireless Area Network Infrastructure Model on Gili Ketapang Island Using Open Shortest Path First Routing Protocol

This study aims to model the network for the archipelago and tourism on Gili Ketapang. The network model implemented is a wireless WAN network infrastructure to meet the needs of a reliable tourist area. This model implements DHCP and OSPF as the routing protocol. The methodology used is to perform simulations using a packet tracer in designing the network through several scenarios with parameters for assessing delay and packet loss. At the time of implementation, it began with a cluster area with the parameters of the number of business units spread across each hamlet. This network design utilizes OSPF, DHCP, and wireless network infrastructure resulting in the most considerable delay of 0.021 and packet loss of less than 3% so that it is included in the excellent category. The implementation results using the OSPF routing protocol, several paths do not go through the shortest path because they have to go through the backbone area, but because OSPF is a link-state, the cost is meager than the shortest path.
Development of Video Tutorial Operating CNC Machine Using Nanjing Swansoft Simulator Based on YouTube Chanel as an Alternative Media on Network Learning

This study examines the limitations of CNC (Computer Numerical Control) machine facilities owned by the Department of Mechanical Engineering Education, Faculty of Engineering, State University of Medan (JPTM FT UNIMED) which are obstacles for students in improving competence. From these problems, alternatives and solutions are needed, namely, utilizing the Nanjing Swansoft simulator software to improve the competence of CNC machining techniques. The lack of CNC machine facilities used in learning CNC machining engineering courses at JPTM FT UNIMED so research on this problem is still needed. This study aims to produce a video tutorial on how to operate a CNC machine using a Nanjing Swansoft simulator based on a YouTube channel. This study aims to produce a video tutorial on how to operate a CNC machine using a nanjing swansoft simulator based on a YouTube channel. The type of research used is research and development (Research and Development) from Borg and Gall. The feasibility of the product was carried out by validating media experts, material experts, learning design experts, small group tests, and field trials for students of JPTM FT UNIMED. Based on the results of product validation, the percentage of media expert assessment results is 92%, a material expert is 91%, and a learning design expert is 92%. Student responses in small group trials obtained a percentage of 92% and 93% in field trials. Based on these results, it can be concluded that the CNC Practice Video Tutorial Using the Nanjing Swansoft Simulator Based on the YouTube Channel that has been developed is feasible to be used as an alternative media for online learning for students of the Department of Mechanical Engineering Education, Faculty of Engineering, State University of Medan.
Identify digital indicators for special tests to assess the skills of installing and undermining the scout tents among the participants in the scout teams

Achieving the high scout level requires appropriate preparation and a high degree of accuracy and scientific in the early stages of the selection process scouts, especially in determining the special tests that may be the cornerstone on which the workers in this field are the scout leaders in the selection of scouts in terms of the skilled side and the speed of performance of basic skills, including the installation and strengthening of the scout tent, hence the importance of research in identifying digital indicators for special tests to assess the performance of scouts in the fields of installation and undermining scout tents in scout scouts The researchers came up with the fact that there are no tests and measurements that give an assessment of these skills. The researchers studied this problem by designing special tests to evaluate the performance of the installation and undermining of the scout tent and identifying digital indicators for it
Inconsistency of the Principles of Writing Variety on the WhatsApp Instant Messaging Application

&lt;p&gt;&lt;em&gt;This study aims to discuss the inconsistency of the principle of writing style that occurs in the WhatsApp instant messaging application. The method used in this study is a qualitative method using descriptive analysis techniques. The object in this study is the text of the conversation on the WhatsApp instant messaging application which is taken randomly and then documented in the form of images so that the chat can be recorded visually. The results of the study show that, there is an inconsistency in the principle of writing style in the WhatsApp instant messaging application which causes this form of variety to not be fully said to be a type of writing. This inconsistency is seen at the time of opening the chat, as much as &lt;/em&gt;&lt;em&gt;100&lt;/em&gt;&lt;em&gt;% of the existing data, the sender of the message uses a written variety with intact principles. However, when a reply is received and a conversation occurs, &lt;/em&gt;&lt;em&gt;55,&lt;/em&gt;&lt;em&gt;7% of the data shows that the principle of writing style is no longer fully applied. It was found that the sender of the message answered by using a sentence structure that was incomplete and there was an omission of elements, both subject, predicate, object, and description. In addition, it was also found &lt;/em&gt;&lt;em&gt;36%&lt;/em&gt;&lt;em&gt; data showing that in the delivery, the sender of the message sometimes uses certain emoticons as an effort to build context, which in the spoken variety is usually accommodated by gestures and facial expressions. In this regard, the researcher concludes that the variety that appears in the WhatsApp instant messaging application can no longer be said to be a written variety. Due to the inconsistency of applying the principles of written and spoken variety, the authors suggest that the variety that appears in this instant messaging application is called the inlis variety.&lt;/em&gt;&lt;/p&gt;
Professional Competence as an Essential Characteristic of a University Student’s Personality

The social demand of modern society requires graduates from universities with a certain level of qualifications.Such a level implies both educational background and the development of personal qualities necessary for the performance of professional activities and the adaptation to the changing conditions of the modern market economy.The paper deals with professional competence as a main measurable indicator of the educational goal at universities.The authors pursued the answers if 1) the level of professional competence and the development of student's personality are interrelated, 2) it is possible to measure personal characteristics, and 3) it is possible to improve the efficiency of the educational process by means, for instance, of situational tasks on the foreign (English) language classes, applying the interdisciplinary approach.The authors describe the techniques that allow overseeing the process of building professional competence alongside developing a student's personality, both qualitatively and quantitatively.That was supposed to test empirically due to the experiment involving the first-year lawyer-students of Ulyanovsk State University.The experiment was conducted in foreign language (English) classes, during which the students of the experimental group were offered situational tasks and exercises, cases and other elements of the situational approach.The authors define the interrelation between the notions "competence", "experience", including from the standpoint of the future employer.The article presents the alternative to professional competence (personal potential) as a teaching goal.As a result, the authors conclude that the personal component is of great importance, as it is connected with the motivational sphere of a future specialist.The research showed the efficiency of the interdisciplinary approach (including the personally professional component), thanks to which building students' professional competence takes place more effectively.
Regional experience of implementing the state control risk-based model in vocational education: sociological survey analysis

The control and supervisory state function reform by a new risk-oriented model implementing has two major complementary goals: reducing the administrative burden on business while enhancing the safety of legally protected values. For the education sector, this model has been implementing since 2015, actualising the study of its applying experience by vocational organisations in the Russian regions under state supervision. The purposes of the study are to investigate the readiness of controlled entities to effectively applying of risk-based state control model, and to collect data for the development of new proposals to improve framework and law enforcement practice of control and supervision activities in education. The study is based on expert assessment of a new model application experience and an analysis of controlled entities opinions on used methodologies. For the first time, the relation of professional educational organisations to indicated problems was investigated and the respondents’ proposals for improving new processes were analysed in the article. The scientific novelty of the study is the applying of
Variable Selection for Robust Mixture Regression Model with Skew Scale Mixtures of Normal Distributions

In this paper, we propose a robust mixture regression model based on the skew scale mixtures of normal distributions (RMR-SSMN) which can accommodate asymmetric, heavy-tailed and contaminated data better.For the variable selection problem, the penalized likelihood approach with a new combined penalty function which balances the SCAD and 2 l penalty is proposed.The adjusted EM algorithm is presented to get parameter estimates of RMR-SSMN models at a faster convergence rate.As simulations show, our mixture models are more robust than general FMR models and the new combined penalty function outperforms SCAD for variable selection.Finally, the proposed methodology and algorithm are applied to a real data set and achieve reasonable results.