Reviewerly/exHarmony huggingface dataset:
The Study of Influencing Factors of Capital Stucture: Empirical Analysis Based on The Financial Data of China's SSE Listed Companies in 2018

Capital structure affects plenty of aspects of a company.Inspired by the differences in influencing factors and influencing mechanisms, which are positively or negatively related, we use the financial data of China's SSE listed firms in 2018 to study the influencing factors of capital structure in Chinese listed companies.After data cleaning, we did the Gaussian General Linear Regression and obtained the ANOVA and estimators.After deleting some variables with extremely large variables, we used the Best Subset Selection method with minimum SSR and minimum Mallows' Cp value criterion to select the most related explanatory variables.Finally, we found several factors which have the biggest influence on capital structure.Then we interpreted every explanatory variable and analyzed the possible reasons why they are different from the results in developed countries.
Factors that prevent the English oral production of students of first and second year of bachillerato

English has become the universal communication language of business, tourism, education, technology, and science. Developing students' oral skills in the classroom has become a great challenge for English teachers since there are limitations to producing the target language. Therefore, the main purpose of this study was to identify the factors that prevent the English oral production of students of first and second year of bachillerato. This research used a quantitative approach where a survey and an observation guide for students and teachers were applied to collect the data in[1]formation. The population of this study was 34 students and a teacher. The main results showed that learners cannot produce speaking skills because they are afraid of making mistakes in their oral presentations and they consider that English is difficult to pronounce. Additionally, the negative affective factors such as anxiety, pressure, nervousness, and apprehension influenced directly in their oral performance. These hindrances that learners face daily in the classroom can be diminished through constant motivation and confidence. Hence, it is advisable the frequent use of interesting and dynamic activities that promote communication in real situations and in that way to accomplish the academic goal which is to enhance students’ oral proficiency.
Drill; A Solution to Reduce Mistriage in Prehospital Emergency Setting

Background: Triage is used as one of the main concepts in the emergency medicine to differentiate between critically ill patients or patients in a non-emergency situation. Miss-triage occurs if the prioritization of patients or injured is not done correctly for any reason. Miss-triage occurs in two forms of over and under triage. According to studies, the incidence of miss-triage is high worldwide. Exercising is one of the ways to reduce the amount of miss-triage. Objectives:. This two-group pretest post-test intervention study aimed to investigate the effect of drilling on the miss-triage of emergency medical service personnel. Methods: The tools used in this study included: demographic information form questionnaire, Triage Decision Making Inventory (TDMI), and designed START/jump START triage scenarios. After collecting the required data, these data were analyzed by appropriate parametric and non-parametric statistical tests, including mean and standard deviation, independent t-test, paired t-test, K-square. Results: Results showed that the Miss-triage rate decreased from (34.1%) before the intervention to (9.1%) after the intervention in the experimental group. Moreover, after drill, the score of triage decision-making power increased from (121) to (136.91). However, in the control group, no statistically significant change was observed in the amount of miss-triage and triage decision-making power in emergency medical service personnel at the end of the study (p&gt;.05). Conclusion: The findings of the present study revealed the effectiveness of this exercise method in reducing miss-triage in participants. Thus, this method could be used in emergency medical service personnel training and preparation programs.
Analysis of Users' Emotional Attitudes to Vulgar Videos Based on Data Mining

With the development of network video, Vulgar Videos with its unique video content and form quickly became popular, but in its early stage, there were some problems such as vulgar content and poor user experience.In order to optimize user experience, this study explores the emotional attitude of users when they participate in the Vulgar Videos based on data mining.By using Python language to write the data collection logic, run the program to crawl the microblog comment data about Vulgar Videos, use TF-IDF algorithm to extract keywords and make word frequency statistics, use SnowNLP library for sentiment analysis, build semantic network and LDA topic model, and carry out topic analysis and extraction.Meanwhile, Jieba database will be used for word co-occurrence analysis to further excavate and analyze users' emotional attitude.Through the above process, this study draws the following conclusions: Vulgar Videos not only have entertainment properties, but also social properties and information properties.From the perspective of emotion analysis, a large number of netizens hold a positive attitude towards Vulgar Videos, while a small number of users are dissatisfied with the video content.
Initial Research on The Vertiport for The Urban Air Mobility

The eVTOL (electricic Vertical Take-off and Landing) aircraft provides an important guarantee for the realization of the UAM (Urban Air Mobility) system.The reasonable setting and construction of the eVTOL ground infrastructure usually play important roles to operate UAM system safely, efficiently and economically.This study introduces the main composition, types and factors influencing eVTOL ground infrastructure placement, according to the setting of traditional helipads, vertiport should be set up with Touchdown and Liftoff (TLOF), Final Approach and Takeoff (FATO) and Safety Area (SA), the ground infrastructure placement were affected by the factors such as the population density, the average income, the commercial centers, tourist attractions, the large transportation hub and extreme commuting, then the main function will be defined based on the scale of the vertiport.The construction and design of the eVTOL ground infrastructure is a complex and systematic work that involves multiple factors and it is also one of the important issues that need to be resolved urgently.
Proposal and Evaluation of Multi-model CAPTCHA with Typoglycemia

We propose a Multi-model CAPTCHA that is composed of one sentence with typo and multiple pictures. This CAPTCHA utilizes human's three abilities (inferring the meaning of the sentence with typo, understanding the meaning of pictures, and linking the meaning of the sentence and corresponding picture), and it is based on a hypothesis, "the longer of the sentence with typo, the time could be longer for a machine to link the meaning of the sentence and corresponding picture (= the shorter of the time of linking, the higher of the probability of human)." We found three findings from our experiment: (1) Examinees were able to link the meaning of the sentence to corresponding picture even there were some pictures with similar composition, (2) Typoglycemia is likely to be appeared on a sentence constructed by short and familiar words, (3) The time for linking was not exponentially increased even the length of the sentence was getting long (= It was not getting difficult for users in this situation).
The Effect of Digital Literacy-Based Learning on Student Motivation and Socialization Ability

Online learning programs require students to use digital literacy. The question is how does digital literacy affect student learning motivation, then does it also affect students' ability to socialize. The purpose of the study was to describe the level of digital literacy, learning motivation and social skills of FKIP students at Lancang Kuning University. The research methodology used is descriptive analysis with hypothesis testing using regression. The number of samples is 99 students who are drawn by total sampling from all respondents. The results showed that 1) the digital literacy level of students was at a moderate level. 2) low student learning motivation. 3) students' social skills are low. 4) there is a positive influence between digital literacy on the learning motivation of FKIP students. 5) there is a positive influence between digital literacy on the social skills of FKIP students at Lancang Kuning University. The implications of this research are as material for consideration for counselors in providing services to students who have an impact on digital literacy on learning motivation and social skills.
Escalation Of Science Learning Activities And Outcomes Through The Use Of Puzzle Media

Hasil belajar siswa dalam proses belajar mengajar diperlukan peran guru yang kreatif dan aktif dalam mengelola pembelajaran yakni. Fakta dilapangan ditemukan bahwa terdapat hasil belajar IPA yang belum memenuhi kriteria ketuntasan minimal yaitu sebesar 75. Oleh karena itu perlu sebuah metode belajar yang inovatif untuk membuat retensi memori yang lebih baik tentang materi sains. Subjek penelitian ini adalah guru yang mengajar di kelas 2 dan siswa kelas 2 SD Negeri 91 Rejang Lebong tahun pelajaran 2019/2020.yang berjumlah 32 orang. Penelitian ini terdiri dari 3 siklus yaitu pra siklus, siklus I dan siklus II, dengan 4 tahapan yaitu perencanaan, tindakan pengamatan dan refleksi. Cara pengumpulan data melalui tes formatif dan lembar pengamatan. Media yang digunakan dalam belajar yaitu Puzzle. Media puzzle juga disebut sebagai permainan edukasi karena bukan hanya permainan tetapi mengasah otak dan melatih antara kecepatan pikiran tangan, dengan begitu media puzzle dapat meningkatkan aktivitas dan hasil belajar siswa. Rata-rata hasil belajar siswa pada pra siklus 58,03, siklus I 70,31 dan siklus II 83,75 sedangkan ketuntasan belajar siswa pada pra siklus 30,43%, siklus I 56,52% dan siklus II mencapai 95,8%. Jadi dapat disimpulkan bahwa dengan menggunakan media puzzle dapat meningkatkan aktivitas dan hasil belajar siswa dari pra siklus sampai siklus II mengalami peningkatan belajar.Student learning outcomes in the teaching and learning process require the role of teachers who are creative and active in managing learning namely. Facts in the field found that there were science learning outcomes that did not meet the minimum completeness criteria, which was 75. Therefore, an innovative learning method was needed to make better memory retention about science material. The subjects of this study were teachers who teach in grade 2 and students in grade 2 of SD Negeri 91 Rejang Lebong for the 2019/2020 academic year, a total of 32 people. This study consisted of 3 cycles, namely pre cycle, cycle I and cycle II, with 4 stages namely planning, action observation and reflection. How to collect data through formative tests and observation sheets. The media used in learning is Puzzle. Puzzle media is also referred to as an educational game because it is not just a game but sharpens the brain and trains the speed of hand thinking, so the puzzle media can increase student activity and learning outcomes. The average student learning outcomes in the pre-cycle was 58.03, the first cycle was 70.31 and the second cycle was 83.75 while the student learning completeness in the pre-cycle was 30.43%, the first cycle was 56.52% and the second cycle was 95.8%. . So it can be concluded that using puzzle media can increase student activity and learning outcomes from pre-cycle to cycle II experiencing an increase in learning
Exploration of Self-regulated Learning through Edmodo

The purpose of this paper is to describe mathematics self-regulated learning of elementary school teacher education students. This type of research used qualitative approach. The subject research is taken from 2nd semester student’s primary school teacher education of 2020 academic year. Instrument used in this research is questionnaire. The questionnaire is used to know the student's self-regulated in mathematics learning with six factors namely (a) independence of others, (b) have self-confidence, (c) behaving dicipline, (d) having a sense of responsibility, (e) behaving based on their own initiative, and (f) perform self-control. Based on the results of the research, it can be concluded that self-regulated learning though edmodo is in the high category.
PERANCANGAN SISTEM INFORMASI DAN PERBAIKAN PROSES BISNIS DENGAN METODE BUSINESS PROCESS IMPROVEMENT (Studi Kasus: Koperasi Karya Mulya Situbondo)

An understanding of business processes cannot be separated from understanding all production processes in an organizational unit. Harrington (1995) defines a business process as a service process that supports the production process, such as the order process (order), payment process (payrool) and manufacturing design process. So that in the business process activities are grouped using the resources owned by the organization as support in achieving organizational goals. This study aims to see an overview of the business process in the Koperasi Karya Mulya which is engaged in savings and loans activities. The absence of the use of information technology that supports business processes is the basis for this study, so that by looking at the problems that occur, recommendations can be given using the Business Process Improvement (BPI) approach. The design of the information system that is the result of this research is expected to increase the effectiveness and efficiency of existing business processes so as to improve the quality and satisfaction of the community with the services of the Koperasi Karya Mulya.
Design of Scissors with Equal Displacement between Pushing Handles and Cutting Blades

In this study, a scissors with equal displacement between pushing handles and cutting blades was proposed. The proposed scissors comprises six parts. The six parts are upper and lower handle parts, upper and lower link parts, and upper and lower blade parts. The proposed scissors is cam and link mechanisms. Specific design methods were showed from the mechanisms. In the design methods, angles of the lower blade part were gotten from relationship between positions of the lower blade, and intersections of the upper and lower blades. Pushing displacement at connections between the handles and frames is equal to cutting displacement at the intersections. Relationship between the angles of the lower blade part, and angles of the upper handle part was gotten. Positions of an upper cam such that relationship of gotten two angles was gotten.
Sense-making of Digital Literacy for Future Education Era: A Literature Review

Technological sophistication that continues to develop contributes and is also integrated in education and learning. Conventional education and learning are shifting towards digital technology-based learning. Digital-based learning must undoubtedly be accompanied by skills and mastery of digital technology. Thus, this paper aims to describe and represent the sense-making elementary school students need regarding digital literacy to realize education in the future era. The method in this writing was a literature review by reviewing the relevant literature with the topic of discussion. The results revealed that the sense-making of education actors is the basic capital in digital-based learning. Therefore, the position of digital technology and digital literacy in education is central to realizing the success of education in the future era. Finally, the recommendations in this paper include (1) the need for regular training or programs related to sense-making of digital literacy so that education in the future era can be carried out optimally, effectively, and efficiently, and (2) further study and analysis are required in mapping the education system related to educational needs as a result of the impact of COVID-19 and education in the industrial revolution 4.0 era in the future.
A Comparison of K-Means and Agglomerative Clustering for Users Segmentation based on Question Answerer Reputation in Brainly Platform

Brainly is a question and answer (QA) site that students can use as a media for questions and answers. Students can also use Brainly to find and share educational information that helps students solve their homework problems. In Brainly, users can answer questions according to their interests. However, it could be that the interest is not necessarily following the competencies possessed. It causes many answers to the questions given not to have a high rating because the answers given are of low quality to be prioritized as the main answer. This study aims to apply the K-Means and Agglomerative Clustering methods to segment users based on the reputation of the answerers by conducting clustering based on track records in answering questions on mathematics subjects. This study used the number of the brightest scores and the number of answers that did not get a rating as the basic features for clustering. The comparison between the two methods used is based on the Silhouette Score, representing the quality of the clustering results, calculated by applying the Silhouette Coefficient method. This study result indicates that the K-Means method gives better results than the Agglomerative Clustering. The Silhouette Score generated by the K-Means method is higher at 0.9081 than the Agglomerative Clustering method, which is 0.8990, which produces two clusters or two segments.
Dealing with Imbalanced Data for GPS Trajectory Outlier Detection

Abstract4Detecting abnormal GPS trajectories derived by the mobility of people, cars, buses, and taxis plays a crucial role in developing applications for intelligent transportation systems.Outlier detection based on classification models is among promising approaches but it faces the imbalanced data problem, where instances labeled as abnormal have a very low number of observations.In this paper, we propose a framework that employs methods to deal with imbalanced data to the problem of GPS trajectory outlier detection.Our experiments show that dealing with imbalanced data beforehand can improve the performance of outlier detection models.
GreedySlide: An Efficient Sliding Window for Improving Edge-Object Detectors

The recent development in deep learning and edge hardware architecture has provided artificial applications with a robust foundation to move into real-life applications and allow a model to inference right on edge.If a well-trained edge object detection (OD) model is acquired, multiple scenarios such as autonomous driving, autonomous hospital management, or a self-shopping cart can be achieved.However, to make a model well-inference on edge, a model needs to be quantized to scale down the size and speed up at inference.This quantization scheme creates a degradation in the model where each layer is restricted to at most lower representations, forcing an output layer only to have fewer options to circle an object.Furthermore, it also limits model generalization where the behavior of the dataset gets cut off each activation layer.We proposed a novel method GreedySlide by sliding window that divides a capture into windows to make an object fits better on the quantization bound to address this problem.Even though the technique sounds simple, it helps increase the number of options for bounding an object and clips the variance that can have by scanning the whole image.Our work has improved an original edge model on its corresponding benchmark by experimenting and increasing the model generalization on other related datasets without retraining the model.
THE DEVELOPMENT OF ENGLISH LEARNING MEDIA BASED ON ANDROID APPLICATION ON MATERIAL COMPLIMENTS TOWARD STUDENTS’ OF 10TH GRADE SENIOR HIGH SCHOOL

The purpose of this study was to develop English learning media based on an Android application for X SMA compliments material, as well as to determine the quality of media products. This study uses Research and Development (R&amp;D) research and the model used is the ADDIE Development model which consists of 5 stages namely Analysis, Design, Development, Implementation and Evaluation. The data analysis technique used is feasibility and quality the media obtained with the instrument in the form of a questionnaire. This product has been validated by material experts, media experts. The results of the validation show that material experts obtain an average of 4.77 which is included in the "Very Good" criteria, for the validation results of media experts obtain an average of 4.56 in the "Very Good" category. The developed media was tested on 26 class X SMA Muhammadiyah 1 Pekanbaru. Based on the acquisition results these data indicate that Android-Based English Learning Media in Material Compliments is suitable for use as a learning resource for high school students. In trial with students obtaining a result of 4.61 which is included in the "Very Good" criteria. It can be concluded that this android-based application product can increase student motivation and achievement and is suitable for use in the learning process.
Utilize Deep learning to increase the performance of a Book recommender system using the Item-based Collaborative Filtering

Abstract4Item-based Collaborative Filtering is a common and efficient approach for recommendation problems.In this study, we have investigated the power of deep learning in textual feature extraction and applied this advantage to a highperformance item-based collaborative filtering recommender system.The proposed approach has been experienced on book datasets added by texts collected from famous book review sites.The experiment proves that the proposed model has better performance thanks to the contribution of the new item profile process method based on Deep Learning.
THE RELATIONSHIP OF SELF-CONCEPT AND LOGICAL THINKING PATTERNS WITH DIGITAL LITERACY ABILITY

This study discusses the relationship between self-concept, logical thinking patterns, and digital literacy ability. The research respondents were elementary school teacher education students at the Se University of West Java from initial to final levels without distinguishing gender. Respondents were selected randomly using the proportional random sampling technique. The research data was obtained through a questionnaire on a scale of 0-1 for logical thinking patterns and 1-5 for self-concept and digital literacy ability. The results of this study indicate: that first, there is a positive relationship between self-concept and digital literacy ability of 0.563. Second, a positive relationship exists between logical thinking patterns and digital literacy ability of 0.234. Third, a positive relationship exists between self-concept and logical thinking patterns and digital literacy ability of 0.595. This study put forward some suggestions as follows: (1) prospective teacher students can develop self-concept by focusing on themselves, loving themselves, being responsible, having goals, and being able to interact with the social environment to improve digital literacy ability, (2 ) student teacher candidates must have logical thinking patterns by continuing to train themselves through being able to think with logical rules, be able to determine valid conclusions, think systematically in digital literacy ability, (3) prospective teacher students must be able to control self-concept and logical thinking patterns to improve digital literacy ability as a support in the learning process and for improving academic achievement.