Reviewerly/exHarmony huggingface dataset:
The History and Values of Jinju Gyobang Culture: Focusing on the Application of the Anthology Concept

This thesis tried to reveal its value by applying the concept of anthology to the history of Jinju Gyobang culture. Here, anthology means ‘anthology’ in a word. The idea is to apply the anthology to an archive that collects domestic and foreign data on Gyobang culture.&#x0D; ‘Gyobang culture’ refers to the accumulation of knowledge and information through Gyobang and the preservation of its value and historicity. Gyobang has a tradition as an institution that lasted for more than a thousand years from the Korea Dynasty to 1910 in Korea. In Gyobang, comprehensive art education was provided for gisaengs in dancing, singing, playing musical instruments, as well as poetry, calligraphy, and painting. It is the Gyobang culture that has been developed and achieved an artistic level through such education in Gyobang. This Gyobang culture was installed and developed in regions above the level of departments and moks in Korea, and representative cities are Pyongyang in the north of the Han River and Jinju in the south. Archive refers to a collection of records or documents with historical or long-term preservation value, and at the same time refers to a place, facility, or institution that stores these records or documents. Gyobang-related materials in Korea and China require diachronic and synchronic selection through anthology in the process of digital archiving. Because Jinjumok's Gyobang is the center of Gyobang culture not only in Korea but also in East Asia through ‘Uiambyeolje’ in Jung Hyeon-seok’s “Gyobang Song”, a standard must be established. We need an opportunity to present our culture with pride, not self-denigration. The scope of application of Gyobang’s music, dance and poems and paintings expands to the Archetype as cultural content. For this purpose, archive work related to Gyobang culture at home and abroad is preceded, but it is necessary to study by applying the concept of anthology.
Neotectonic Activity in Quetta-Ziarat Region, Northwest Quetta City, Pakistan

Geomorphic parameters are very helpful as they can quickly explain the concerned area, which is going through a tectonic adjustment. For this purpose, four indices were applied to examine the active tectonics in the Quetta-Ziarat region. These indices include: sub-basins asymmetry (Af), transverse topography (T-Factor), hypsometric integral (HI) and stream-length gradient (SL). The calculation of the three indices as denoted by Af, HI and SL show low active tectonics, whereas T-Factor suggests moderate to high level of tectonic activity. While index of active tectonics (IAT) indicated a low to moderate level of active tectonics. In addition, these indices are compared with lithological and climatic consequences to detect the final neotectonics judgement.
PREDICTION OF AIR QUALITY INDEX USING DECISION TREE WITH DISCRETIZATION

Air quality is indicated by the Air Quality Index (AQI). Prediction or classification of AQI is an important research issue because it can impact many factors, such as the environment, health, transportation, agriculture, plantations, tourism, and education. The purpose of this study is to predict AQI using a decision tree. The results of calculating the performance of the decision tree method that implements the discretization technique show that this method is very good at predicting air quality, as indicated in particular by the Average Accuracy value of 99.05%, Macro Precision of 78.59%, and Macro Recall of 77.46%.
An Analysis of Basic Education Policy Implementation (MI/SD Levels)

Policy analysis does not stop at using various assessment methods to generate and transform information. This study aims to analyze the implementation of basic education policies (SD/MI levels). The research method used in this study is a qualitative study through literature/document studies, namely studies conducted by reviewing documents from both private and public documents such as scientific articles and applicable regulations. In this study, the author takes an inventory of various sources both from books, journals, information from the internet, and related regulations. Various information from the relevant references are then reviewed and analyzed. Policy arguments which are a means to conduct debates on public policy issues, have a minimum of six elements, namely: (1) Policy-relevant information, (2) policy claims, (3) Justification, (4) Support, ( 5) Rebuttal, and (6) Conclusion. Policy arguments are made to serve as guidelines for action, directing activities in educational organizations to achieve the goals that have been set, increasing the validity (dialectical function), optimizing truth conclusions, inviting and influencing other parties to accept arguments.
Creation and Debugging of a Digital Double-Cluster Cooperation Mechanism of Inter-Cluster Interaction under Conditions of Stochastic Uncertainty

The model for creating and debugging a digital double of inter-cluster interaction under conditions of stochastic uncertainty within a single federal district assumes as the main most significant characteristic of the success of such interaction is the natural population growth of the region in which this or that cluster is located. This model involves the implementation of such steps as the selection and adjustment of required parameters, building and debugging the statistical model, and stochastic algorithm optimization of the digital double. At the last stage, the corresponding settings of the pattern search method are used. An important result of our model of stochastic optimization of economic-financial, information and logistics inter-cluster interaction is that the increase in investment in fixed assets does not always lead to an increase in the population in the Federal District. This needs to be taken into account when reallocating investment and human resources within one federal district.
Students’ Anxiety in Presentation

Presentation is one of learning methods which implemented in higher education in order to train the students to have a good communication skill in the future especially in delivering their idea in front of many people. Whenever they got turn to present, the more they get anxious. The problem of this research was what the students’ anxiety in having presentation are. The purpose of this research was to find out the students’ anxieties in presentation which made them do them continuouly. This qualitative research which implemented questionaire and interview as the research intruments found that in students’ speaking anxiety there were two anxious categories, those are external and internal factors. The most factors derives from internal factor which supported by the external factors. To avoid those anxiety, students need to train themselves by reading alot to master the matery or presentation content. So they can run the presentation sucessfully now and in the future.
Contract/Tendering System Using Blockchain

Abstract: Tendering is commonly used by governments and businesses to buy goods or services from manufacturers or service providers. Although e-tendering is the most popular procurement method, there are a number of security concerns. Due to its emphasis oninformation decentralization, encryption, and block- based architecture for transaction management, blockchain technology can be utilized to address these security concerns. In this work, it is investigated how a distributed e-tendering system might be designed using smart contracts (based on the Ethereum block-chain). The project is broken into four components
Citizen Participation And Democratic Practices: An Analysis From The Use Of Social Networks And Schooling

There are numerous studies (Norris, 2001; Muñiz, 2015; Díaz and Góngora, 2019) that have declared the importance of the use of social networks and the education of citizens as essential areas to understand civic and democratic participation in issues of sociopolitical interest. . The present work is carried out with the objective of analyzing the association between the variables schooling and use of social networks (YouTube, Facebook and Twitter) to be informed of matters of national interest. For which, a subsample of 20,323 subjects selected from the National Survey of Civic Culture of the year 2020 was used. The selection criterion was to be 18 years old and over. The research hypothesis was that schooling and the use of social networks (Facebook, Twitter and YouTube) are associated in promoting citizen participation in issues of national interest and issues of democratic life. The results showed that, in effect, as the specialized literature points out, there is an association relationship between the variables of interest and citizen participation in issues of sociopolitical interest. To carry out the statistical analysis, the chi2 test was used to determine the association between the study variables, finding a value = 2050.1, with a significance p = 0.05. Therefore, the research hypothesis is verified.
Fracture Pattern Analysis of the Upper Cretaceous-Eocene Carbonates along with the Ghumawan Dome, Hazara Basin

Deformational history of the Hazara basin indicates a primitive collision of the two landmasses that undergoes an episodic deformation with NE-SW structural trend. Panjal Thrust (PT) and Main Boundary Thrust (MBT) demarcate the northern and southern extremities of the basin, respectively. The area bounded between these two thrusts is the core consideration of the present research. Different stratigraphic units juxtapose along the Hazara Kashmir Syntaxes (HKS), while the strike-slip component is indicated by imbrication due to thrusts. The study is amied to analyze the paleo-stresses along with developed fracture patterns. Field data were collected via Circle Inventory Method from various localities of the Ghumawan dome, Hazara basin. The zones of upper Cretaceous to Eocene carbonates were mainly targeted during the data collection. Win-Tensor was the key software that helps to analyze the paleo-stresses and fracture pattern of the study area. NW-trending fracture pattern was observed with a highly non-symmetric to dense fracture pattern. The local thrust system lead to severely de-shape the study area. N-S oriented σ1 indicated the compressional tectonic condition that prevailed during deformation of this area. Some segments also show extensional features i.e. normal faulting.
GENERAL PROVISIONS OF DIGITALIZATION OF THE EDUCATIONAL PROCESS

General provisions of digitalization of the educational processQualitative changes in modern society are impossible without global transformations and digitalization -the introduction of modern digital technologies.The modern era of digitalization of society actualizes the need of the individual to act effectively, performing various social functions in the digital space, both independently and as a subject (as part of a team).Thanks to a carefully organized digital environment, education becomes more accessible and comfortable, which is extremely important in terms of minimizing time and financial costs, as well as human resources.Digitalization is a mechanism for the development of the education sector due to the increase in efficiency and increase in productivity from the use of digital technologies.Given this and in order to achieve qualitative transformations, there is a need for total digitalization, digital transformation, which involves the introduction of a new educational paradigm, building the educational process in a digital format with the introduction of the latest methods that should be based on digital technologies, taking into account their advantages and disadvantages.
IMPROVING READING COMPREHENSION OF THE TENTH GRADE STUDENTS AT SMA NEGERI 1 SOE THROUGH POSSE STRATEGY IN THE ACADEMIC YEAR OF 2021/2022

The objective of this research is to improve reading comprehension of the tenth grade students at SMA Negeri 1 Soe through POSSE strategy. The type of the research was action research. The subjects of the research were 32 students of grade X Science 1 at SMA Negeri 1 Soe. There were two kinds of the data in this research were qualitative and quantitative. The qualitative data were obtained by doing observation, interviewing and field note. The quantitative data were obtained from the pre-test and post-test. They were presented in the form of scores and analyzed by using descriptive statistics in SPSS 17 program. The result showed that POSSE strategy allows students to have practices in predicting the text, organizing the prediction, searching the main idea, summarizing the text, and evaluating their understanding of the text. It also helped the students enrich their vocabulary by maximizing use of the predicting and the evaluating steps. Then, most students show their enthusiasm and active participation in the teaching and learning process of reading. Finally, there is an improvement on students’ reading comprehension. It could be concluded that POSSE strategy could improve students’ reading comprehension.
Analysing Adversarial Threats to Rule-Based Local-Planning Algorithms for Autonomous Driving

The safety and security of navigation and planning algorithms are essential for the adoption of autonomous driving in real-world operational environments.Adversarial threats to local-planning algorithms are a developing field.Attacks have primarily been targeted at trajectory prediction algorithms which are used by the autonomous vehicle to predict the motion of ego vehicles and other environmental objects to calculate a safe planning route.This work extends the attack surface to focus on a rule-based local-planning algorithm, specifically focusing on the planning cost-based function, which is used to estimate the safest and most efficient route.Targeting this algorithm, which is used in a real-world, operational autonomous vehicle program, we devise two attacks; 1) deviation to the lateral and longitudinal pose values, and 2) time-delay of the sensed-data input messages to the local-planning nodes.Using a low-fidelity simulation testing environment, we conduct a sensitivity analysis using multiple deviation range values and time-delay duration.We find that the impact of adversarial attack cases is visible in the rate of failure to complete the mission and in the occurrence of safety violations.The cost-function is sensitive to deviations in lateral and longitudinal pose and higher duration of message delay.The result of the sensitivity analysis suggests minor deviations of the pose (lateral, longitudinal) values as an optimal range for the attackers search space.Options for mitigating such attacks are that the AV should run a concurrent process executing a concurrent planning instance for redundancy.
Reminding Drivers of the Stalking Vehicles on the Road

Being followed by other vehicles during driving is scary and causes privacy leakage (e.g., location), which can make our blood run cold and even make run moves.Moreover, deliberately following the other vehicles may cause significant traffic accidents.The following vehicle needs to maintain an appropriate separation from the following vehicle without getting lost and uncovered.To put the driver's privacy and safety first, it is essential to discriminate between stalking vehicles (i.e., following abnormal vehicles) and normal following vehicles.However, there are no infrastructure-free and ubiquitous invehicle systems that can achieve abnormal following vehicle detection while driving.To this end, we propose P2D2, a Privacy-Preserving Defensive Driving system that can detect the abnormal following vehicles through the sensor fusion.Specifically, we will use the camera to extract each following vehicle's following time, and use the IMU sensors (e.g., Gyroscope ) to extract our vehicle's critical driving behavior (e.g., making a left or right turn).We harness the space diversity of IMU sensing data to remove the artifacts of road surface conditions (e.g., bumps on the road surface) on critical driving behavior (CDB) detection.Then, we leverage the machine learning-based anomaly detection algorithm to detect the abnormal following vehicles based on the following vehicle's following time and our vehicle's critical driving behavior within the following time.Our experimental results show the F-1 score of 97.45% for the abnormal following vehicle detection in different driving scenarios during our daily traffic commute.
Towards More Effective Responsible Disclosure for Vulnerability Research

Vulnerability research is vital to mitigating cyberattacks, which tries to devise new approaches to discover new vulnerabilities.As an ethical research guideline, researchers are expected to report the found vulnerabilities to the corresponding vendors before disclosing them (e.g., publishing a paper), which is known as the responsible-disclosure process.Undoubtedly, the intention of responsible disclosure is to help improve the security of software.We observe that the current responsible disclosure may not be as effective as expected.In particular, reports can be significantly delayed or completely ignored.Reports for securitycritical vulnerabilities are often publicly disclosed, which can potentially be abused by attackers.In this work, we plan to study the effectiveness of the existing responsible disclosure.Two major questions we aim to answer are: (1) Are security-critical bug reports commonly disclosed publicly in the first place?(2) What factors of a bug report contribute to delaying or ignoring?By answering the questions, we aim to provide insights into how to improve the quality of bug reports and the effectiveness of responsible disclosure.In this paper, we present our preliminary results of this work.We take the Linux reports and patch history as an example.We found that at least in Linux, most security bugs are publicly disclosed before they are fixed, and that factors such as length of reports, author experience, and author affiliations have an impact on the delay of patching.In the end, we also present our plans for future work.
Implementation of Indoor Navigation Control for Two-Wheeled Self-balancing Robot

Two-wheeled self-balancing robots (TWSBR) overcomes the limitations of conventional three or four-wheeled robots by offering a zero-turning radius with two motors. The usage of conventional dc motors with encoders in these two-wheeled self-balancing robots requires a complex design and tuning of cascaded controllers. In this paper, we implement a model that reduces the complexity of the design, and we have implemented a simple low-cost indoor navigation technique along with it, to know about the robustness of the design. The proposed system uses stepper motors in place of dc motors such that a single controller can be used that reduces the complexity of the design. We have implemented laser-based navigational control along with obstacle avoidance control on this robot for the indoor environments to show the stability of the robot during the motion for reaching the destination goal along with the detection and avoidance of the obstacles in the path of the robot.
RESEARCH OF METHODS OF AUTOMATED SEARCH OF “SQL INJECTION” TYPE VULNERABILITIES IN WEB APPLICATIONS

The article presents the results of a scientific and methodological study of the methods of automated search for SQL vulnerabilities in web applications. An example of an attack using a typical SQL injection is provided. The classification ofweb application security assessment methods based on penetration testing is given. The results of practical studies of the operation of the most widely used web scanners for automated vulnerability testing of web applications are given. Based on the results, a comparison of the effectiveness of penetration testing methods has been made. The possible directions of further research into the methods of automated search for SQL vulnerabilities in web applications are substantiated, taking into ac-count the results obtained, in particular the values of the Youden Index.
THE CORRELATION BETWEEN SPEAKING CLASS ANXIETY AND STUDENTS’ ENGLISH PROFICIENCY

Speaking is an essential skill that students should master because it requires oral communication such as, grammar, vocabulary, pronunciation, fluency, and comprehension. This study aims to determine the correlation between speaking class anxiety and their English skills. The participants in this study were sixth semester students majoring in English Education, Universitas Teknokrat Indonesia which consisted of 39 students. This research technique uses quantitative research. The research instrument was that students were asked to fill out a questionnaire about speaking anxiety which was distributed via a google form link and then the data would be analyzed with the help of SPSS 15.0 and Ms Excel 2007. The questionnaire was adopted from the Public Speaking Class Anxiety Scale (PSCA). The questionnaire contains 20 questions related to anxiety problems in speaking class with 5 scale criteria starting from strongly agree, agree, neutral, disagree and strongly disagree. From the result of the correlation between speaking anxiety and English proficiency scores, it can be concluded that students with high level of speaking anxiety had lower EPT scores than student with lower speaking anxiety level.
INFLUENCE OF VIDEO GAMES ON THE ACQUISITION OF THE ENGLISH LANGUAGE

The number of schoolchildren fluent in English has increased significantly over the past decade. The amount of English lessons per week is one explanation, but media influence is perhaps even more important. Video games are massively marketed to college students. In this study, a survey was conducted to examine the relationship between playing video games and English proficiency. Many students responded to the survey. This included a range of questions about how often and how well video games are played. Researcherss have concluded that video games have a significant impact on language acquisition. Vocabulary and pronunciation were the most helpful areas. Video games are a highly rewarding pastime and create a comfortable and stimulating environment perfect for learning a foreign language.
THE CORRELATION BETWEEN STUDENTS' ANXIETY LEVEL AND STUDENTS' GPA SCORE

GPA or Grade Point Average is the accumulation of the final score of all the scores obtained by students during college. There are many students who feel anxious when they will receive a study result card. This study aims to find out about the causes of student anxiety when receiving the study results card while they are studying, with this study aims to find solutions on how to eliminate or reduce student anxiety about the GPA they obtained. The method used for this research is quantitative data collection. The data was collected using a questionnaire which will be distributed to students using google form. The respondents of this study are the students of English Education students at UniversitasTeknokrat Indonesia. So it is hoped that this research can run smoothly and well.