Reviewerly/exHarmony huggingface dataset:
A Literature Study of Behavior Finance and Investor Decision-Making

One of the most contentious topics in the development of modern financial economics has been the rationality of financial markets. Conventional finance postulates that investors are rational and impartial, capable of critically assessing the risks and returns associated with investments, and thus making unbiased investment decisions. Nevertheless, as time went on, there were increasing voices from a considerable academic community against the rationality assumption. Among those, behavioral finance has developed to challenge the legitimacy of the rational theory's underlying premises. It has emerged as a field that focuses on studying the actual behavior of investors in financial markets. The paper examines some consensus of traditional financial theories and anomalies in the stock market to introduce prominent cognitive biases influencing people when making investment decisions. It explores emotions behind the cognitive biases and the ways to impact investor behavior and thus gives suggestions about how to reduce errors in financial markets and capitalize on the mistakes of others by adopting an investment strategy that runs counter to common practice.
Enhancing Credit Card Fraud Detection on Imbalanced Datasets

Abstract. The use of credit cards is becoming more and more popular in today's society, especially now with the prevalence of electronic payments. Electronic payments are available through bank apps or payment processors like PayPal, Alipay, etc. Without using cash, people are taking advantage of the convenience of them both online and offline. In addition to bringing people the benefits of efficiency and convenience, credit card fraud has also emerged and caused a great deal of economic losses for cardholders, as well as causing great trouble for banks. The primary goal of this work is to identify fraudulent transactions in an unbalanced dataset. The dataset comprises credit card transactions from just two days in 2013 in Europe. In this study, the original data, the original data with Stratified-KFolds, and the undersampled data will be compared. It is found that undersampling, although it reduces the accuracy by a small amount, can greatly improve the detection of fraudulent transactions. Meanwhile, this study uses different models, one is Logistic Regression, and the others are all Tree-Based method. The study analyzes their confusion matrices, ROC curves, and Precession-Recall curves. The results show that in the undersampling rate dataset, the recall, precision, F1 score and accuracy of Xgboost are optimized to 93.2%, 97%, 95%, and 95% respectively, and the AUC of both the ROC curve and the Presicion-Recall curve are optimized to 99%, so this study concludes that XGboost is the best performer. With excellent algorithms, we can better avoid the leakage of information and loss of money in real life.
Research on Organizing Strategies for the Olympic Games Based on the TOPSIS Method

Fewer and fewer countries have bid to host the Olympic Games in recent years because of the negative short- and long-term impacts that bidding to host the Games has had on the country. A sustainable and healthy Olympic Games will have a huge positive impact on the country, so it is quite meaningful to assess the ability of an Olympic Games to be sustainable. In order to assess the success of the Olympic Games, we designed the Olympic Sustainability Index (OSI) as a primary indicator. Then, using McKinsey Logic Tree Analysis, we constructed a three-level evaluation index system, and we designed three secondary indicators and 10 tertiary indicators. The entropy weight method was used to determine the weights between the three-level indicators, and CRITIC weighting method was used to determine the weights between the second-level indicators, and finally an OSI evaluation model was built. After that, we collected the data of tertiary indicators from 1992 to 2020 Winter Olympics and Summer Olympics, and based on the above evaluation model, we got the OSI of each Olympic Games, among which the Vancouver Winter Olympics and Beijing Summer Olympics had the highest index. Since the OSI of the Olympic Games fluctuates greatly, in order to attenuate it, we propose the strategy of "fixed host city", i.e., selecting Vancouver and Beijing as the host cities of the Winter Olympic Games and the Summer Olympic Games, respectively.
Text Sentiment Classification Method Based on Bilstm

In the booming age of digital communication and natural language processing(NLP), understanding user sentiments expressed in texts has become increasingly vital. This research addresses the challenge of classifying text sentiments into three distinct categories: positive, neutral, and negative. Recognizing the nuances of human emotion in textual content is paramount for enhancing user experiences and tailoring personalized digital interactions. This study trains a BiLSTM model, supplemented with optimization strategies to adaptively learn from a diverse dataset. Additionally, a large number of baseline experiments were conducted to compare its efficacy with traditional algorithms such as Logistic Regression. The BiLSTM model demonstrated a good accuracy of 78.21% on the test set. Conclusively, while the proposed model shows significant potential, further refinements could be made, emphasizing data augmentation and model regularization to achieve optimal performance.
Enhancing Stock Price Prediction Method Based on CNN-LSTM hybrid model

Stock price prediction means using the previous data to predict future trend. With the development of deep learning technologies in artificial intelligence area, many works try to use single CNN or single LSTM to make prediction. However, both these two models have their own weakness and strengths. In this paper, we try to make a CNN-LSTM hybrid model to achieve a better performance on stock price prediction. It proposes that the CNN-LSTM hybrid model predicts stock prices using RMSE to measure higher accuracy than a single CNN and a single LSTM model. The experiment shows a great ability on generalization and provide reliable results, which can apply to other stocks to make prediction and give suggestions on investing strategy. The CNN-LSTM model can play the respective advantages of CNN and LSTM model to improve the accuracy of stock price prediction and has better performance in both short-term prediction and long-term trend.
Robustness Analysis on Stock Market Prediction Method

Stock prediction is a vital approach used to forecast stock’s future prices by analyzing historical data. This technique plays a crucial role in assisting investors in making informed decisions in the stock market. There are various methods employed for stock prediction, with the most common being traditional statistical methods and machine learning methods. Traditional statistical methods involve models such as ARIMA and GARCH, while machine learning methods involve LSTM and GRU models.This research paper aims to compare the performance of SARIMA , LSTM and GRU models in stock prediction. To enhance their performance, the models will be optimized by incorporating DWT-ARIMA-XGBoost[1], LSTM-XGBoost[2] and GRU-XGBoost techniques. These methods will then be deployed to predict stock prices, with a subsequent comparison of the results obtained from the three models. After comparing those models, this paper selects four models that have high level of prediction to study their generalization. This analysis will provide valuable insights into the effectiveness and suitability of these models for stock prediction tasks. The paper evaluates these models based on their prediction accuracy, generalization ability.
Evaluasi kegiatan seleksi koleksi perpustakaan sebagai pemenuhan kebutuhan informasi dosen di lingkungan UIN Imam Bonjol Padang

Lecturers are involved in the collection selection process prior to procurement. There are various ways of selecting collections such as using publisher catalogs, publisher websites, user suggestions, google forms, syllabus. The purpose of this study was to find out the collection selection process carried out by the Library UPT UIN Imam Bonjol Padang, the response of lecturers in the selection process, and the fulfillment of lecturers' information needs regarding the selection results. This research is descriptive quantitative in nature. The author will describe the collection selection process along with lecturer responses and to fulfill information needs. Then the number of fulfillment of lecturers' information needs on collection proposals is described in percentage form. The results showed that only a small proportion of lecturers (12.2%) of the participating lecturers responded to the collection proposals by filling out the Google form, Google Doc, document files, syllabus delivery and course distribution. UPT Library UIN Imam Bonjol Padang can fulfill most (73.5%) of the proposed collection. Libraries need to increase promotion related to proposing collections to lecturers. Collaboration with the academic and student affairs divisions as well as TIPD needs to be improved to obtain syllabus data and distribution of courses for collection selection
Sistem Kesejahteraan Tenaga Pendidik dan Tenaga Administrasi Sekolah di SMP Negeri 31 Bandung

This research aims to analyze the level of welfare obtained by the workforce at Junior High School 31 Bandung, both in terms of material (wages, allowances and bonuses/rewards) and non-material (facilities) at Junior High School 31 Bandung. This research uses a qualitative approach, with descriptive data collection techniques. The data used in this research was obtained from direct observations and interviews with related sources. The results of this research show that (1) the level of welfare of the workforce, both educators and educational staff at Junior High School 31 Bandung is sufficient, both in terms of salary which follows the regional minimum wage (UMR), allowances and incentives/rewards (2) SMPN 31 Bandung is also provide many adequate allowances and facilities to employees at Junior High School 31 Bandung in order to improve the welfare of the workforce, both educators and education staff. (3) The level of employee job satisfaction at Junior High School 31 Bandung is categorized as quite high, this is shown by the suitability of the salary to the workload received by the employee, the condition of the school environment and the attitude of the leader and co-workers which is good and in line with expectations so that the impact is comfort. and employee satisfaction at work..
Karakteristik Layanan Bimbingan Penggunaan Sumber Referensi

Services provided by the library need to be evaluated by users to improve their quality. This study aimed to determine the characteristics of users and the use of guidance services using reference sources at the Library of the Faculty of Geography, Gadjah Mada University, in August 2020-December 2022. These characteristics include service users, guidance themes, and reference sources used in guidance services. The quantitative descriptive method is used to answer research questions. The study results show that users of this service are dominated by student users, lecturers and education staff. Students who use this service are predominantly doctoral (S3) students. The most needed guidance themes are indexing databases, e-journals, and e-books. The next theme is using several applications, accessing library websites, using academic profiles, accessing journal websites, how to get ISBNs, identification of journals, and instructions for preparing scientific papers. The most widely used reference sources in guidance services are indexing databases (Scopus, Sinta, Garuda, and Directory Open Access Journal) and e-journal databases. Guidance on the use of applications needed is Mendeley, Turnitin, Grammarly, and VOSviewer applications. Users of guidance services on the use of reference sources need specific and in-depth guidance on reference sources, research support applications, library websites, academic profiles to increase knowledge dissemination, access to journal websites to submit articles, how to get International Standard Book Numbers, identify journals so they do not trap in predatory journals as well as guidance on writing scientific papers.
Indonesian tertiary EFL students’ problems in paraphrasing journal articles: a narrative inquiry

This study investigates the problems faced by EFL students and their coping strategies to deal with problems when paraphrasing journal articles. To achieve the study objectives, the researchers utilized a narrative inquiry design with two semi-structured interviews. The gathered data were then analyzed by using thematic analysis. Four EFL students participated in this study and shared their experiences regarding the problems they faced when paraphrasing journal articles. The findings presented that the four students perceived limited vocabulary, lack of awareness regarding the criteria for effective paraphrasing and the proper stages of paraphrasing, struggle to find the appropriate synonyms, and lack of grammar mastery. Furthermore, it was discovered that there were several strategies adopted by the students to overcome the problem of paraphrasing journal articles such as changing active to passive voice, eliminating unnecessary words, utilizing paraphrasing tools, and consulting with others. This research can be a form of self-reflection for the readers, especially students, to be more aware of the importance of mastering paraphrasing skills.
MOTIVASI BELAJAR DAN KUALITAS PELAYANAN DOSEN, PENGARUHNYA PADA LITERASI KEUANGAN MAHASISWA AKUNTANSI UNIVERSITAS PATTIMURA

Financial literacy focuses on understanding and implementing financial concepts it in real life. This study aims to examine the influence of learning motivation and service quality of lecturers on student financial literacy. These two variables are very rarely investigated by previous studies. To answer these questions quantitative research methods using the SPSS application. Questionnaires used to be processed with SPSS to answer research questions from as many as 192 respondents. 192 respondents were Pattimura University accounting students who were studying in the even semester of 2022/2023 and were willing to voluntarily become respondents. The results show that motivation affects literacy while the financial quality of lecturer services does not affect financial literacy. Thus, the lecturer always fosters a spirit of student motivation in the activities of each lecture so that students continue to increase their understanding of financial literacy
the Teachers’Perception Toward the Use of Zoom for English Learning at Junior High School of Tellu Limpoe Sidrap

Abstract &#x0D; The objective of this research were: to analyze the teachers’perception on using zoom and to analyze the teachers’reaction toward the use of zoom for English learning at junior high school of tellu limpoe Sidrap.&#x0D; This research used descriptive qualitative. Creswell (2013) noted that descriptive qualitative was about understanding and perspective. The subject of this research were 10 english teachers from 3 juniour high school of Tellu Limpoe Sidrap. This research applied interview guidance. It found that Teachers’perception were the zoom application made easier,fun,help the teacher in teaching English. The zoom application influenced the learning process in school,the zoom application influenced enough English skill of learners, and the zoom application made easy to use in learning English. The teachers’reaction were techers though the zoom application was recommended to use if the teachers cannot go to school for teaching,they can teach in the home,because zoom application gave more the advantages than disadvantages,the teachers supposed that bad network was the disadvantagesof zoom application,the zoom’s problems were bad net work and wastafel quota, and the last zoom application had completely item or features to use in teaching process that make easier for teacher and student.&#x0D; Keyword : Zoom, Perception, Reaction, English Teacher, Learning Process from Home.&#x0D;
Exploring English Language Teachers’ Technological Competence in Listening Skills Instruction

The digitalized educational landscape of today requires ELT teachers to be conversant with technology. This study examined ELT teachers’ technological and pedagogical knowledge and their use of technology in listening skills instruction. To this end, an exploratory qualitative research design was employed. Thematic analysis was used to analyze the data collected using classroom observation and interviews. N-Vivo version 10 software was used for the data analysis. The findings indicated that teachers have a fair command of technology. However, they had limited technological content knowledge and technological pedagogical knowledge (TPK). Teachers were not able to make use of their knowledge of technology in their teaching. During listening instructions, only a few teachers use a smart board or a laptop to play audio materials. Most are not familiar with how to use any digital gadgets for teaching. For successful integration of digital technologies into listening instruction, training in the TPK is recommended. Furthermore, teachers’ capacity to use relevant digital apparatuses should be built.
Character Education Values in English Classroom Within Teachers’ Practice of Code-Mixing and Code-Switching

The multilingual environment in English language learning as a foreign language raises doubts regarding the existence and teaching of character education values in secondary schools. This research aims to identify character education values integrated into teacher-student interactions through code-mixing and code-switching linguistic phenomena. The research findings highlight the integration of 16 values through code-mixing and code-switching. The frequency of code-mixing by high and junior high school teachers was notably higher than code-switching. The disparity in these data outcomes reinforces the notion that the atmosphere tends to be relaxed in code-mixing, often unnoticed by speakers. Conversely, code-switching, where speakers, in this case, teachers, consciously do so with specific intentions and goals, either to integrate dominant character education values such as communication or discipline or other character education values. These findings underscore that code-switching and code-mixing are not negative elements in language learning. Instead, they serve as tools for integrating character education values among secondary school students.
Design and Analysis of a Topology-Optimized Quadcopter Drone Frame

This study focuses on the analysis and optimization of a drone frame design to enhance its performance characteristics. The design underwent drop testing, stress analysis, displacement analysis, and flow simulation to evaluate its structural integrity, deformation resistance, and aerodynamic performance. Furthermore, topology optimization techniques were employed to achieve a 30% weight reduction while maintaining the structural integrity of the drone frame. The results of the drop test analysis revealed that Design 2 exhibited lower stress levels compared to Design 1, indicating improved load distribution and structural integrity. However, Design 1 demonstrated lower displacement values, suggesting better resistance to deformation. The flow analysis indicated that Design 1 achieved lower flow velocities, indicating superior propulsion and aerodynamic performance. Through topology optimization, the mass of the drone frame was successfully reduced by 30% without compromising structural integrity. The optimized design exhibited improved stress management, reduced displacement, and slightly higher flow velocities compared to the initial design. These improvements contribute to enhanced agility, maneuverability, and energy efficiency of the drone. The findings of this study highlight the importance of considering stress distribution, displacement, and aerodynamic performance in drone design and optimization. The results provide valuable insights for the development of efficient and reliable drones.
Application of the Quantum Teaching Method in Improving Student Learning Outcomes in Class 5 Social Studies at SD Negeri Bener 01 Academic Year 2015/2016

In the implementation of classroom learning, it turns out that there are still many students who do not meet the KKM, this is possible because the teacher uses inappropriate methods, for example the teacher only uses teaching materials and methods that are mastered. So that most students do not understand the actual subject matter and their learning outcomes are low. This condition was experienced by teachers at SD Negeri Benar 01, Majenang District, Cilacap Regency. The purpose of this Classroom Action Research (CAR) is to find out how far student learning outcomes have increased and to determine subject matter through the application of the Quantum Teaching Method. In this Classroom Action research it was carried out in 3 cycles, from the results of the Actions taken it was proven to increase student learning completeness. From 64.29% in the first cycle, it can increase to 72.43% in the second cycle, and 80.71% in the third cycle. The results of this action research show that the application of the Quantum Teaching Method in public elementary schools is correct 01.
Improving Teachers' Ability to Apply Learning Models Through Classroom Supervision Activities by the Principal of SD Negeri Tritih Kulon 09 in Semester I of the 2018/2019 Academic Year

In carrying out the learning process at school, a teacher should be able to choose and utilise learning models that are in accordance with the learning material. In general, teachers rarely use learning models in every learning process, due to the lack of teacher understanding of learning models that can facilitate teachers in implementing the learning process in the classroom. Actually, there are many learning models that can be used by every teacher in the learning process. By using appropriate learning models, of course, students will be motivated to learn, and this will have a positive impact on their learning outcomes.The main problem in the study, namely "Can the application of learning models through classroom supervision activities improve the quality of learning in students at SD Negeri Tritih Kulon 09?". Based on the results of this study, it is concluded that the application of learning models through classroom supervision by school principals has proven successful in improving the ability of SD Negeri Tritih Kulon 09 teachers in managing the learning process. In addition, by increasing the ability of SD Negeri Tritih Kulon 09 teachers in managing the learning process, not only the students' learning process is more meaningful but also their learning outcomes increase.
Students’ Perception of the Role of Cue Cards to Help Students Improve Their Speaking Abilities in Senior High School 1 Ajibarang

The research entitled "Students' Perception of The Role of Cue Cards for Improving Students’ Speaking Skills" is intended to investigate whether the actual role of using cue cards in improving and enhancing students' speaking skills is effective or not for students of SMA N 1 Ajibarang. The subjects of this study were grade 10 students of SMA N 1 Ajibarang. The population of this study is class 10. While the sample of this study is 4 classes of grade 10. The data of this research were obtained through observation and questionnaires as the research instrument. The results of this study indicate that the use of cue cards has a strong influence on students in the learning process, student motivation, and the output of learning activities.