Reviewerly/exHarmony huggingface dataset:
An Empirical Analysis of Machine Learning for Fraud Detection in Diverse Financial Scenarios

Fraud detection is important in various domains. As fraud patterns become complex, it is critical to develop accurate and efficient detection systems based on machine learning. However, in different scenarios, there are different key points for fraud detection, and the best model and important features of machine learning may also be different. Therefore, this study aims to explore the relationship between the key points in each scenario and the best model and important features of machine learning corresponding to the scenario. This research firstly used scikit-learn to perform machine learning on the datasets of three different scenarios, online payment, credit card, bank account, and find out important features to analyze the applicability of machine learning models in different scenarios and the reasons behind it. Based on the characteristics of each kind of data, the machine learning model and the characteristics of the fraud itself in different scenarios, exploring the explain ability of combining machine learning with human knowledge. The study found that Light GBM is suitable for all scenarios, because it can capture complex relationships in data, and its high efficiency of dealing with imbalanced data. The research identifies distinct important features of each domain combined with human knowledge, provides insight into potentially fraudulent activity. This will provide a certain theoretical basis for developing a more accurate and efficient fraud detection system, improving the performance of human-computer interaction in the system, or applying the human-in-the-loop model.
An Analysis of the Worlds Economic and Financial Development Tendency

Based on different conditions, economic growth is changing a lot, and many studies focus on the economics of the world to identify the tendency. The paper will discuss the economic and financial tendency of the 21st century. The paper will conduct a detailed analysis on the micro-economic and macroeconomic sides based on existing literature and statistical data. First, the paper discusses the various types of markets in microeconomics, such as the perfect competition market, the monopolistic competition market, the oligopoly market, and the monopoly market. Second, will come from macroeconomics, which includes the financial crisis, the GDP of each country, and the increase tendency of countries in the future. The results indicate that the future economy and finance will have a trend toward overall improvement and sustainable development. It can be seen from the development trends of national industries, large companies, GDP, etc. However, there will also be potential challenges that require the adjustment of national policies and the cooperation of enterprises.
How to Find Valuable Stories for Vendors: Case of Murder Mystery Game

This paper wants to explore how to use game analysis and machine learning techniques to alleviate the information asymmetry for vendors in the murder mystery game industry. Sentiment analysis and game analysis are proposed to extract attributes and opinions from game introductions and reviews, then to propose strategies for selecting more valuable stories. Despite the abundance of genres and the complexity of gameplay, the data information of text and features can still be utilized to build a model for interactive story and form a standardized decision making process. This paper can provide a strategic basis for Software as a service (SaaS) companies that want to enter the related industry, using natural language processing (NLP) techniques to alleviate information asymmetry between upstream and downstream.
Ethics and IPR - Much Needed Legal Solutions for Tomorrow

This article considers the protection of authorship in scientific papers. We analysed the role of authorship in the light ofthe current legal and ethical framework. We have discovered that standard rules of copyright law refer to the relationshipbetween the 'author' and the result of their creative activity. 'Authors' are not originators of a discovery, idea, procedure,theory, method or other immaterial contribution to research unless they have fixed the intellectual work in any tangiblemedium of expression. At times, it is challenging to identify scientific products, which are an essential contribution toresearch projects, which means that copyright law might not protect them. These two contexts, modern science andcopyright law, allow us to conclude that ethical codes for researchers properly define the right to be an author of a scientificpaper. The study aims to clarify that (1) international human rights guarantee the protection of the author's moral rights ofthe original contribution to the research project, (2) this obligation is not implemented correctly by national legislators, (3)national legislators' task is to create an adequate legal protection system for original contributions to research scienceaccording to the example of the solutions adopted by the German legislator.
The Financial Expenditure in the Field of Rural Teacher Construction Under the Background of Poverty Alleviation Through Education ---Take Educational Poverty Alleviation in Poverty-stricken Counties in Shaanxi Province as an Example

As a fundamental solution to block the intergenerational transmission of poverty, poverty alleviation through education is still the direction and focus of Chinese poverty governance in the post-poverty era. Faced with the existing problems in poverty alleviation through education concerning the young and middle-aged rural teachers could be introduced but cannot stay, as well as various psychological and living needs problems of rural teachers. In order to ensure the continuous inflow of fresh blood in the construction of rural teachers, it urgently needs strong and precise support from financial policies. This paper takes an example of education poverty alleviation in poor counties of Shanxi Province. With the help of literature review and interviewing methods, this paper demonstrates the actual internal and external problems faced by the construction of rural teachers, such as the personal promotion of rural teachers, psychological problems, and the organizational structure of teachers. From the perspective of financial solutions, this paper explores the basic ideas of the construction of rural teachers and then puts forward new ideas on the construction of rural teachers in terms of structural adjustment of fiscal policy implementation.
Transformational Games as a Tool for Developing Students' Effective Communication Skills

Purpose of the study. The skill of effective communication is not only the most important component in the activities of a qualified specialist, but also makes everyday communication more trusting, less aggressive and dependent. This is confirmed by the research of domestic and foreign scientists, business coach programs, and the practical work of coaching and consulting specialists. The purpose of our work is a theoretical and experimental study of the use of transformational games as a tool for developing students' effective communication skills. The article examines the skill of effective communication of students according to various criteria. The results of the application of the program for the development of effective communication skills of students using transformational games are shown. Methods. The methodology of «Diagnostics of communicative tolerance» by V. V. Boyko is designed to determine to what extent people are able to show tolerance to other people in business and interpersonal communication. The test «Communicative skills» of Mikhelson L. in the modification of Gilbukh Y.Z. we used to determine the level of communicative competence and the quality of formation of basic communicative skills. To study the ability to showempathy, the «Emotional Response Scale» technique is used (A. Mehrabyan, modification by N. Epstein). In the formative part of our work, we used transformational negotiation games «The Red Rose Effect. The best techniques of persuasion» and «Say NO». Results. it was revealed that a significant number of students have difficulties in managing emotions that negatively affect interpersonal communication. Testing showed that the majority of students have an average level of general communicative tolerance. Students use aggressive (oppressive behavior) and dependent (insecure behavior) positions in communication. A significant number of students demonstrate a low level of response with feelings, which makes it difficult to contact people around them. Conclusion. Thus, purposeful work is needed to develop students' communication skills. For this purpose, we have developed a program for developing students' effective communication skills using transformational games, the effectiveness of which has been proven in practice and statistically.
Towards Fair Credit Risk Assessment: Developing Mathematical Models with Equity and Accuracy

Credit default risk is an important factor in determining whether a person can apply for a credit card and continue to use it. Hothis studyver, the assessment of credit default risk should be fair and unbiased, especially as credit cards become an increasingly popular payment method. In this paper, this study analyze how to assess a users credit default risk while emphasizing the importance of machine learning fairness. this study propose using principal component analysis (PCA) to extract key factors for judging credit default risk and a BP neural network to evaluate and analyze these factors. this study also propose adversarial representation learning which is aim to address discrimination against different minority group people. Our main purpose is to train the main network to generate features that the discriminator cannot use to accurately predict the sensitive attribute. By doing so, the learned features become fairer and do not contain discriminatory information. Therefore, adversarial representation learning is aimed at reducing discrimination against minority groups in machine learning models. Our approach serves as a natural method for ensuring that these parties act fairly and various adversarial objectives. this study demonstrate that selecting the appropriate objective is essential for achieving fair prediction. Through our approach, this study aim to ensure that our credit default risk assessment is fair and equitable for all users of different gender, race, and education.
Central Bank Digital Currency (CBDC) and Its Potential Impact on the Chinese Economy

Digital Gold Currency first appeared on the market in 1996, a digital currency designed based on gold quality. Still, the disadvantage of digital gold currency is that it has no cryptographic protection, and the security needs to be better. Nowadays, with the development of technology, more and more governments have started to study and use digital currencies, which benefits the economic market. This paper focuses on the central bank digital currencies issued in China, combining the current situation and characteristics of the Chinese economic market and the technical characteristics of CBDC, and analyzes the possible impact of CBDC issuance in China on the economic market. The analysis shows that CBDC will benefit the Chinese economic market by accelerating financial inclusion, eliminating the IT gap, reducing government spending, and providing the government with more tools to regulate the economy. The findings can offer strategic insights to the Chinese government or relevant researchers.
ANALISIS STRATEGI PEMBELAJARAN GURU DALAM MENINGKATKAN KEMAMPUAN MEMAHAMI ISI BACAAN MATERI BERCERITA DI KELAS III SD NEGERI 02 BEDUAI

Abstract: The background of this research is that there are still many students who are less able to understand the learning material concerned with storytelling material. The purpose of this research is to find out the inquiry learning strategy used to improve the ability to understand the content of reading material in storytelling. The research method is a qualitative descriptive research with research design: interviews, dukumentation observation. The subjects in this study were class III teacher at Elementary Scholl Negeri 02 Beduai. The data analysis technique uses 3 stages, namely, data reduction, data presentation and conclusion drawing as well as testing the validity of the data. Based on the research results using indicators of understanding the contents of the reading or assessment criteria, namely. The ability to grasp the meaning of word and expressions used by the author, the ability to grasp the explicit and implied meanings and the ability to draw conclusions through inquiry learning strategies. At was found that 35% of the 7 students in the very good category increased to 50% of the 10 students in the very good category. So that it can be concluded that the inquiry learning strategy used in improving students understanding skills in Indonesian language subject storytelling was declared successful. Keywords: Strategy, Teacher Learning, ability to Understand Reading Content. Abstrak: Latar belakang penelitian ini adalah masih banyak peserta didik yang kurang mampu memahami materi pembelajaran yang bersangkutan dengan materi bercerita. Tujuan dalam penelitian ini adalah mengetahui strategi pembelajaran inkuiri yang digunakan untuk meningkatkan kemampuan memahami isi bacaan dalam materi bercerita. Metode penelitiaan adalah penelitian deskriptif kualitatif dengan desain penelitian: wawancara, observasi, dokumentasi. Subjek dalam penelitian ini adalah guru kelas III SD Negeri 02 Beduai. Teknik analisis data menggunakan 3 tahap yaitu, reduksi data, penyajian data dan penarikan kesimpulan serta uji keabsahan data. Berdasarkan hasil penelitian menggunakan indikator memahami isi bacaan atau kriteria penilaian yaitu, kemampuan menangkap arti kata dan ungkapan yang digunakan penulis, kemampuan menangkap makna tersurat dan makna tersirat dan kemampuan membuat kesimpulan melalui strategi pembelajaran inkuiri. Diperoleh 35% dari 7 peserta didik kategori sangat baik meningkat menjadi 50% dari 10 peserta didik dengan ketegori sangat baik. Sehingga dapat disimpulkan strategi pembelajaran inkuiri yang digunakan dalam meningkatkan kemampuan pemahaman peserta didik pada mata pelajaran bahasa indonesia materi bercerita dinyatakan berhasil. Kata Kunci: Strategi, Pembelajaran Guru, Kemampuan Memahami Isi Bacaan.
Chapter 22 - Blockchain For AI Security And Privacy: A Survey

Blockchain shows a tremendous impending in the coming future. It is an innovation that gives the chance of creating and sharing transaction ledgers that are sealed. Use instances of Blockchain are expanding in numbers and width in different regions like, Internet of Things (IoT), money and security.
Sosialisasi penulisan surat dinas di Kantor Dinas Perhubungan Kota Bekasi

Official/Formal letters already have clear formats and rules in writing, but in reality, mistakes are often found that are made repeatedly. Writing that is done in a template or following a previous writing pattern is one of the reasons why the error keeps repeating itself. The purpose of the official letter-writing training at the Department of Transportation Bekasi City is to provide an understanding of the department transportation employees, especially the administrative staff, about writing good and correct official letters. This community service program activity was carried out for two days, namely on 07 April 2023 which took place at the Department of Transportation Bekasi City Office. The administrative Staff of the Department of Transportation who participated in this official letter-writing training totaled 25 people. The socialization method used is direct lectures and questions/answers. Based on the initial identification through the writing process, the writing form of the activity participants still found many errors in spelling and sentences that were less effective, meaning that it is necessary to increase the application of Indonesian spelling in accordance with the current spelling. During the training, the participants and the community service implementation team conducted an evaluation and asked questions directly about the material that had been presented. Then, activity participants understand the mistakes and know the corrections have been submitted by the abdimas team so that participants can properly and correctly compose official letters in accordance with the General Guidelines for Indonesian spelling
The emergence of expanding space-time in the Lorentzian type IIB matrix model with a novel regularization

The Lorentzian type IIB matrix model is a promising candidate for a non-perturbative formulation of superstring theory. However, it was recently found that a Euclidean space-time appears in the conventional large-$N$ limit. In this work, we study the model with a Lorentz invariant mass term which can be considered as an IR regulator. By performing complex Langevin simulations to overcome the sign problem, we observe the emergence of expanding space-time with Lorentzian signature.
Collaborative Filtering Uncovered: Exploring Modern Techniques for Personalized Recommendations

The prosperity of the Internet industry also facilitates the development of all kinds of online entertainment. Recommendation systems show their capability to make good recommendations and save peoples time. As the most widely used recommendation technique, Collaborative Filtering (CF) shows its superiority in making accurate predictions based on existing data. In this passage, the overall introduction of CF is given, including CF itself, challenges, methodologies, concrete examples, and the limitation of current CF. As CF has developed for a long time, there are specific algorithms to deal with different challenges. However, the separated algorithm may be incapable of dealing with multiple challenges. Moreover, hybrid models have unique effects on data since it combines various models and their advantages. In the future, researchers should pay attention to the combination of different algorithms. This article aims to give newcomers a clear perspective of CF and its development. Hopefully, it can also indicate a possible direction for further studies.
Financial Fraud in China Concept Stock: Identification, Reasons, and Solutions

In recent years, with the fraud of Luckin Coffee, the financial fraud of China concept stock has become the focus of attention again. In this regard, This work first analyzed the characteristics and causes of financial fraud, and then tried to use M and F scores to test the data collected, to see whether M and F scores could warn people before fraud. After that, reflecting on our research, this work pointed out some characteristics and reasons of financial fraud in China concept stock, and finally gave some solutions to financial fraud.
Lymphoma triage from H&amp;E using AI for improved clinical management

Aims In routine diagnosis of lymphoma, initial non-specialist triage is carried out when the sample is biopsied to determine if referral to specialised haematopathology services is needed. This places a heavy burden on pathology services, causes delays and often results in over-referral of benign cases. We aimed to develop an automated triage system using artificial intelligence (AI) to enable more accurate and rapid referral of cases, thereby addressing these issues. Methods A retrospective dataset of H&amp;E-stained whole slide images (WSI) of lymph nodes was taken from Newcastle University Hospital (302 cases) and Manchester Royal Infirmary Hospital (339 cases) with approximately equal representation of the 3 most prevalent lymphoma subtypes: follicular lymphoma, diffuse large B-cell and classic Hodgkin’s lymphoma, as well as reactive controls. A subset (80%) of the data was used for training, a further validation subset (10%) for model selection and a final non-overlapping test subset (10%) for clinical evaluation. Results AI triage achieved multiclass accuracy of 0.828±0.041 and overall accuracy of 0.932±0.024 when discriminating between reactive and malignant cases. Its ability to detect lymphoma was equivalent to that of two haematopathologists (0.925, 0.950) and higher than a non-specialist pathologist (0.75) repeating the same task. To aid explainability, the AI tool also provides uncertainty estimation and attention heatmaps. Conclusions Automated triage using AI holds great promise in contributing to the accurate and timely diagnosis of lymphoma, ultimately benefiting patient care and outcomes.
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond

The areas of reinforcement learning and multi-armed bandits have recently seen significant innovation, while many application domains, such as e-commerce, are full of problems and challenges to which vanilla RL or MAB methods cannot directly apply. This workshop aims at filling this communication gap by creating a platform for researchers and practitioners from both the method/theory side and application side of the community. Having this platform now instead of at a later time is beneficial to all sides of the community: practitioners and frontline scientists are able to avoid re-inventing existing techniques; theory-oriented researchers can find motivation in industry problems, working within more realistic settings, and making real-world impact. The 2nd Multi-armed Bandits and Reinforcement Learning Workshop was a half day workshop co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2023) in Long Beach, California.
Boosting Accuracy of Supervised Algorithm with the Introduction of Helper Constant

If any machine learning algorithm the success of it is based on the accuracy. If the algorithm accuracy decreases due to the increase in the size of the feature vector then Boosting techniques help the algorithms (in this case it is Regression algorithms) to maintain or improve the accuracy. In this paper we have dealt with the supervised algorithms. The accuracy of the supervised algorithms is improved with the introduction of wrapper constants so that the accuracy is improved with the large dataset as well as with increase in features.