Reviewerly/exHarmony huggingface dataset:
Unsupervised Detection of Misinformation in Financial Statements

Companies have incentives to hide, omit, or falsify the information reported in financial statements (FS) (e.g., Balance Sheet, Income Statement, Cash Flow Statement) to give a false impression of the company's financial health, assure investors or evade taxes. Typically, misinformation is introduced by changing FS elements e.g overstating the assets/profits or understating the liabilities/losses. Once detected, misinformation can have disastrous consequences for employees, investors, banks and government. It is important to identify such companies and the nature and extent of misinformation in their FS. Auditors or forensic accountants use complex investigative methods to detect instances of misinformation in FS. The effort intensive and subjective nature of these methods limits their capacity to effectively identify misinformation. We propose two novel unsupervised model-based anomaly detection (AD) techniques based on regression and kernel density estimates. We show they perform better than 15 standard AD techniques and data envelopment analysis for detection of suspicious FS on a real-world dataset of 4100 listed companies. Our approach provides specific suggestions regarding where the misinformation may be present, which helps in increasing the effectiveness of investigations.
FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KECERDASAN EMOSIONAL ANAK TERHADAP PELAJARAN MATEMATIKA DENGAN MENGGUNAKAN ANALISIS FAKTOR

The purpose of this study was to determine the factors that affect the level of emotional intelegence of children in mathematics at BIMBEL Rumpun Lestari trought a rduction process using the factor analysis method. Data colletion out by using a questionnaire method to 40 respondents. Based on the results of this factor analysis research, there are 2 factors that affect the level of emotional intelligence, namely factor 1 (F1) has a value of 0,630 (63,0%) and factor 2 (F2) has a value of 0,903 (90,3%). The correlation value of (F2) is greater than (F1), but the variance value of (F1) is greater than (F2), where the variand value (F1) =36,49% while (F2) =15,97%. So, the more dominant factor in influencing the level of emotional intelligence of children, namely (F1) with a variand value of 36,49% and is formed by internal and external facrors which greatly affect the level of emotional intelligence of children in mathematicts lessons at BIMBEL Rumpun Lestari
A Formal Verification Model for Security Vulnerability in Non-Fungible Tokens (NFTS) Platform.

Non-fungible tokens have been a unique transformation in the implementation of the concept of distributed ledger technology in digital assets. NFTs are said to be non-interchangeable, which distinguishes its value from fungible tokens like Bitcoin (Btc). Scammers are utilizing the open source nature of the blockchain to victimize users and steal their NFTs, leaving NFT collectors with infringed artwork. In a bid to eliminate security vulnerability and attack in NFT platform, we implemented a smart contract verification model. Our verification model is a 2-pronged approach that utilized F*, functional programming language. We presented two tools that translated solidity source code and EVM bytecode to solidity* and EVM* respectively. The EVM decompiler analyzes contracts in which the solidity source codes are unavailable as well as low level properties of contracts. The EVM* and Solidity* tools helped to check the equivalence between a solidity program and the bytecode output from the solidity compiler in order to avoid bugs and preserve verified properties at the source level. In this paper, Etherscan token tracker was used to verify and authenticate NFT token before buying or minting such NFT. Keywords: Non-Fungible Tokens (NFTs), The NFT- marketplace (NFTM), Ethereum
Pengaruh Penggunaan Internet dan Motivasi Belajar terhadap Hasil Belajar Siswa Akuntansi di Sekolah SMK

This study aims to determine the effect of the internet and learning motivation on student learning outcomes. This research was conducted in the odd semester of the 2021/2022 academic year. The population in this study were all vocational accounting students using the case method at T. Amir Hamzah Private Vocational School in Air Putih District, Batubara Regency, North Sumatra Province. Sampling in this study were as many as 60 students with a quota sampling technique that is taken from each study group. The method of data collection in this research is direct observation, where students are given a questionnaire. The data analysis technique was carried out to determine the effect of the independent variables (X1, X2) on the dependent variable (Y) with multiple linear regression analysis and hypothesis testing. The results showed that there was a positive and significant influence of students' internet use variables on student learning outcomes, there was a positive and significant influence of students' learning motivation variables on student learning outcomes, there was a positive and significant influence simultaneously on the variables of internet use and learning motivation on students' learning outcomes. student learning.
Main Title: Quanton Based Model of Field Interactions,

The search for a unification of the physical phenomena was the preoccupation of many physicists for long time. Starting from the seventeenth century with the unification of celestial mechanics and gravitation, then the unification of the electromagnetism in the nineteenth century. The early twentieth century brought about the unification of space and time and the unification of energy and mass while the advent of gauge theory enabled the unification of the weak interaction with the electromagnetism in the middle of the twentieth century. More recent theories are proposed as the answer to the unification question in physics include quantum gravity which unifies quantum mechanics and gravitation, and string theory. Unification effort should not only address the known fundamental forces but the space fabric interactions which till now remain unknown but their manifestations are described as the dark energy and dark matter. Here the concept of interacting space and time fields which constitute space time is discussed using classic method which has a certain advantage of bringing the physical meaning into visualization.
Solo IOT Devices to Capture Video and Audio Evidences

Abstract: Due to an increased sense of security, such as CCTV and RFID, there has been an increase in video surveillance systems in public and private spaces in recent years. There are various flaws in video surveillance systems, including unclear images, complex structures, poor stability, the requirement for a lot of storage capacity to retain surveillance data, and relatively high prices. This study presents a real-time security surveillance system based on the Internet of Things. As a default programming environment, the system uses the Motion Detection algorithm developed in Python. This reduces storage requirements and lowers investment costs.. The algorithm for Motion Detection is being implemented on the Raspberry Pi 2 and Pi camera, which enables live video streaming with motion detection and alarm when motion is detected, as well as sending photographs and movies to a cloud server directly via the Pi camera. When the cloud is unavailable, the data is saved locally on the Raspberry Piand delivered whenever the connection is restored. The camera isinstalled on the motor, and the user controls its movement (Left/Right) via an IoT webpage, giving the user a better view of the surroundings. Keywords: Internet of things, Pi Camera, Raspberry pi, MotionDetection.
Answer Consolidation: Formulation and Benchmarking

Current question answering (QA) systems primarily consider the single-answer scenario, where each question is assumed to be paired with one correct answer.However, in many real-world QA applications, multiple answer scenarios arise where consolidating answers into a comprehensive and non-redundant set of answers is a more efficient user interface.In this paper, we formulate the problem of answer consolidation, where answers are partitioned into multiple groups, each representing different aspects of the answer set.Then, given this partitioning, a comprehensive and nonredundant set of answers can be constructed by picking one answer from each group.To initiate research on answer consolidation, we construct a dataset consisting of 4,699 questions and 24,006 sentences and evaluate multiple models.Despite a promising performance achieved by the best-performing supervised models, we still believe this task has room for further improvements.
Sistem Informasi Kegiatan Kemahasiswaan Badan Eksekutif Mahasiswa

The Faculty of Information Technology is one of the faculties at the University of Flores and oversees the Information Systems Study Program. The Faculty of Information Technology has several internal campus organizations, one of which is the Student Executive Board (BEM) FTI Uniflor. The recording and processing of management data as well as FTI BEM activity data and SME data are still done manually, which is recorded in the main book or typed in Microsoft Word and Excel so that it slows down the work system of the BEM management. Therefore, this problem can be solved by building a website-based application for an information system for student activities at the FTI Student Executive Board (BEM) using PHP as a programming language and MySQL database. The goal is to provide relief for BEM management in processing member data, activity data and making it easier to work on reports on activities carried out. With this information system, it is possible to improve the processing of management data, activity data, and SME data to be more effective and efficient. Observations, interviews, and literature searches are techniques for collecting data in research. While the development method uses the waterfall method and the blackbox testing method as a testing method. The results achieved from this research are, by building a web-based information system application where all data has been stored in a database, it is easy to process data for BEM management members, activity data, SME data and make activity reports.
Implications of Bounds in Approval Voting

We analyze and show the implications of required limitations on common voting system criteria for the three different versions of voting restrictions in the election website proposed for the Saudi Chamber of Commerce Business Awards. Electoral systems properties might be considered as performance indicators of a voting system. When presented with the same underlying voter preferences, different voting systems constraints might produce different results. Those voting systems may violate or satisfy voting properties. Distinct ways meet different requirements, and it was shown that no particular method can meet all of them.The studied voting systems mechanisms on the aforementioned website are called: Single Casting, Limited Casting, and Unlimited Casting methods.The first version permits the voter to vote for one unique candidate, and corresponds to the common Single Plurality Vote mechanism. The second version permits the voter to vote for three unique candidates at a time, and it is a new method that can be described as the Approval Voting with bounded ballot size. The third version permits the voter to vote for all candidates, and corresponds to the common Approval Voting mechanism.In the long version analysis, we proved that one of the new voting schemes in the election website proposed for the SaudiChamber of Commerce Business Awards, a version of Approval Voting where the size of the ballot is bounded, a set of the properties of Approval Voting are lost, in particular Pareto efficiency, Condorcet criteria winner support, Condorcet criteria loser, and Independence to Irrelevant Alternatives.
Language-independent Metric for Measuring Text Simplification that does not Require a Parallel Corpus

Natural language processing encompasses several tasks, one of which is the automatic text simplification. Telling whether one text is simpler than another involves not only knowledge about the language being analyzed, but also a cultural knowledge of the target audience to which the text is being directed. Most of the current metrics used to measure text simplification are based on the use of parallel corpora, prepared by humans, which makes it difficult to apply the metrics in automatic text simplification in real time. In this paper, we present ISiM (Independent Simplification Metric), a metric that dismiss a parallel corpus, is simple, fast, language and human annotation independent, capable of quantifying the simplicity/complexity of a sentence, thus contributing improve automating text simplification. The results of the tests performed indicate that the proposed metric has the potential to be used to evaluate automatic methods of simplification.
Towards Machine Learning Interpretability for Tabular Data with Mixed Data Types

Gradient Boosting (GB) algorithms have been proposed for a variety of automated predictions and classification tasks with applications in many domains. These methods work faster and provide superior performance compared to deep learning methods when applied to tabular datasets. Another advantage is their interpretability. There are many machine learning methods that can train tabular data successfully, however, the inner workings are usually hidden from the user. In this context, SHAP values combined with GB methods, increase model transparency and provide not only consistent feature rankings but also show the contributions of the predictors for individual instances. In this work, we train multiple GB models using several tabular datasets and compare the result in terms of speed, performance, and the global and local models' interpretability.
Regularizing Data for Improving Execution Time of NLP Model

Natural language processing (NLP) is a very important part of machine learning that can be applied to different real applications. Several NLP models with huge training datasets are proposed. The primary purpose of these large-scale NLP models is the downstream tasks. However, because of the diversity and rapidly increasing the size of these datasets, they consume a lot of resources and time. In this study, we propose a state-of-the-art method to reduce the training time of NLP models on downstream tasks while maintaining accuracy. Our method focuses on removing unimportant data from the input data set and optimizing the padding of tokens to reduce the processing time for the NLP model. Experiments are conducted on many different GLUE benchmark datasets demonstrated that our method can reduce the most up to 57% in training time compared to other methods.
Simulation of Colonial Building Reconstruction in Jakarta Old Town Through Augmented Reality

Augmented reality (AR) is a trending technology with many potential applications.In architecture, AR can help visualize and document historic buildings by virtual reconstruction.Colonial buildings in Jakarta Old Town are cultural heritage buildings that are vulnerable to damage by aging and environmental factors.The mitigation of this damage as the first step toward restoration is important.The storage and maintenance of records of threatened buildings for posterity are also important.The objective of this study is to develop a methodology for AR-based reconstruction.AR technology is implemented through mobile phones or smartphones.The modeling process is simple and interactive and has potential applications in both education and tourism.The reconstruction method of colonial buildings uses markerless AR and a database of historical knowledge of colonial architecture.The architectural style is identified using the database.Then, an AR-Reconstruction prototype, which provides a visual description of the building reconstruction process using 3D graphics animation models of colonial buildings, is developed.The model reproduces the building in its original condition and actual location.In the trial run, access to building details is delayed.Therefore, in the future, the geometric details and marker quality need to be optimized.
Of standards and technology: ISDA and technological change in the OTC derivatives market

For enthusiasts, distributed ledger technology (DLT) and smart contract technology (SCT) promise a future of frictionless interactions and decentralisation. In practice, however, it is widely acknowledged that this vision faces significant challenges. These include legal challenges, technological challenges, but also implementation challenges. The latter arise because delivering the DLT/SCT vision does not take place in a vacuum, but in a setting populated by existing market actors that operate on the basis of pre-existing technologies and absent an industry-wide layer of standards to support technological change and the vision of frictionless interactions. This article seeks to contribute to the literature interested in implementation challenges. Its aim is two-fold: to examine implementation challenges and to take stock of current market efforts to overcome them. In particular, this article focusses on the efforts of the International Swaps and Derivatives Association (ISDA) and its initiatives to ‘standardise to digitise’. It will show that these initiatives can usefully be examined as an attempt to help the industry coordinate on a common foundational standards layer. However, this article also finds that the success of ISDA’s efforts is by no means certain. Nor are its efforts without raising some concerns.
Problems in Writing a Qualified Journal Article Publishing an Article in a Reputable International Journal: What Makes it a Mission Impossible? (Especially at the Result and Discussion)

In developing countries, the quality of the publication in reputable international journals is continuously being improved. However, many writers struggle to be able to write a qualified article for such journal. Based on the observation and interview, it was found out that though the writers already knew about the rhetorical structures in the finding and discussion section, still their articles were not considered eligible to be published. The objective of this paper was to discuss the problems faced by writers in writing an article to be published in a reputable international journal. The data was gathered using a questionnaire given to students studying in the graduate school in University of Bengkulu majoring in Language Education. The findings reveal that the writing problems are related to the four aspects of behavior suggested by Adnan (2017) : 1) lecturers’ behavior in the thesis consultation, 2) behavior aspect outside the learning, 3) cognitive aspect, and 4) psychomotor aspect. A number of recommendations have been made regarding these findings: A continuous and proper training on formal writing genre should be started from middle school. In the university, students should be widely exposed to the scientific articles published in reputable international journals, especially in subjects like Academic Writing and English Language.
FASILITAS MADRASAH MAS AL-WASHLIYAH 22 TEMBUNG KECAMATAN PERCUT SEI TUAN KABUPATEN DELI SERDANG SUMATERA UTARA

Purpose of this research is as for classify and reflect all elements the planning of MAS Al-Washliyah Tembung's facilities and infrastructure, such as procurement,use, inventory, elimination, inhibition, and support. This is a qualitative study that use a descriptive analytical technique. Interviews, observations, and documentation studies were used to gather information. Data validity testing, descriptive interpretation, increased involvement, auditing, and other steps are all part of the data analysis process. Facilities and infrastructure planning is done by conveying support as in government, infrastructure and facility procurement is done in agreement with facility planning, use, as well as the upkeep of assets and infrastructure done according to student needs, inventory is done annually according to data provisions, and goods deletion is done on a regular basis. Lack of services and amenities infrastructure are some of the most key aspects of every organization company consider consider challenges at facility management, however madrasa facilities are enough. According to the research. In this study, madrasas place a greater emphasis on the need of strategically situating student facilities so that users have a favorable experience
Virtual training prepared for the former Afghanistan Ministry of Energy and Water—Streamgaging, fluvial sediment sampling, bathymetry, and streamflow and sediment modeling

First posted March 8, 2022 For additional information, contact: Director, Office of International Programs U.S. Geological Survey411 National Center 12201 Sunrise Valley Drive Reston, VA 20192 The U.S. Geological Survey (USGS) created a virtual training series for the Afghanistan Ministry of Energy and Water (MEW), now known as the National Water Affairs Regulation Authority (NWARA), to provide critical hydrological training as an alternative to an in-person training. The USGS was scheduled to provide in-person surface-water training for NWARA during 2020; however, travel was halted because of the Coronavirus disease 2019 (COVID–19) pandemic. The virtual training consisted of prerecorded and live presentations that were scheduled during 4 weeks in August 2021. However, the training was halted after the second week due to the collapse of the Afghan Government. Fortunately, the prerecorded presentations and training materials were delivered before the trainings were halted, so they can be viewed or shared by the participants in the future. A benefit to having produced prerecorded trainings is that USGS can leverage or adapt the trainings for nongovernmental organizations (NGOs) involved in humanitarian water relief efforts in Afghanistan or can be used for other international training efforts.
Developing Multilingual Automotive E-Dictionary Based on Corpus Linguistics

The study aims to compile a dictionary that makes students, Indonesian workers, especially mechanics, supervisors in the automotive sector who work or study in the automotive industry need an automotive dictionary.The Design and Development (D&D) model used in this study and obtaining data were taken from automotive books, automotive websites for technical language specifically for automotive engines, and additional data from official and nonofficial workshops for workshop languages commonly used daily.This study used the Antconc application for automotive text corpus processing.This dictionary has three languages: English (automotive)-Indonesian-local (workshop language), which were arranged to start from the first alphabet that is pronounced.The product's result was a multilingual automotive e-dictionary which several experts validate categorized as a "valid and excellent" product.The multilingual automotive e-dictionary group in the experimental group was more effective; 0.6 than the control group; 0.3.The Cronbach Alpha value from six variables: content, format, accuracy, ease of use, timeliness and user satisfaction was greater than 0.60 (the existing provisions).It showed that the variable was "reliable" as a measure of reliability test.