Reviewerly/exHarmony huggingface dataset:
Financial Reporting Fraud Detection: An Analysis of Data Mining Algorithms

In the last decade, high profile financial frauds committed by large companies in both developed and developing countries were discovered and reported. This study compares the performance of five popular statistical and machine learning models in detecting financial statement fraud. The research objects are companies which experienced both fraudulent and non-fraudulent financial statements between the years 2011 and 2016. The results show, that artificial neural network perform well relative to a Bayesian network, Discriminant Analysis, logistic regression and Support vector machine. The results also reveal some diversity in predictors used across the classification algorithms. Out of 19 predictors examined, only nine are consistently selected and used by different classification algorithms: Employee Productivity, Accounts Receivable to Sales, Debt-to-Equity, Inventory to Sales, Sales to Total Assets, Return On Equity, Return on Sales, Liabilities to Interest Expenses, and Assets to Liabilities. These findings extend financial statement fraud research and can be used by practitioners and regulators to improve fraud risk models.
About the Temporal Logic of the Lexicographic Products of Unbounded Dense Linear Orders: A New Study of Its Computability

This article considers the temporal logic of the lexicographic products of unbounded dense linear orders and provides via mosaics a new proof of the membership in NP of the satisfiability problem it gives rise to.
Countering the financing of terrorism: Sources of terrorism financing

The aim of the paper is to provide an overview of the sources of terrorism financing. The paper focuses on the evolution of the new social networking and fraud typologies.
The Crown of the Comedian: A Reading of Selected Works by Thomas Bernhard

The paper discusses the role of the theater actor in Thomas Bernhard’s selected works: two plays (Der Theatermacher and Einfach kompliziert) and one novel (Holzfällen). Bernhard presents the fi gure of the actor as a victim of the infi nite play between deception and irony, which determines the lives of all human beings. Therefore, the actor epitomizes humanity at its most tragic and most pathetic, but ultimately he can be also seen as a vehicle for expressing the ultimate truth of our condition and the necessity to reach beyond deception.
Implementasi Sistem Data Mining Untuk Menentukan Stock Accuracy Pada Warehouse PT Coca-Cola Amatil Indonesia Cibitung–Plant

Abstract−Data Mining is a process of extracting data or filtering data that utilizes large data sets through a series of processes to obtain information that stands out from the data. PT. Coca-Cola Amatil Indonesia Cibitung-Plant has one of the largest warehouse in Indonesia exactly warehouse mega distribution center (DC). With ±32000 m2 warehouse area or equivalent to ±30000 Pallets. To maintain the accuracy of the stock in the warehouse of course required a good system in order to support the operational activities in the warehouse, one way to maintain the accuracy of stock in the warehouse is to do the overall product calculation in the warehouse (Stock Opname), in order to know the accuracy data in the system with the physical stock in the warehouse. With the data transactions stored in the database, sometimes the transaction data is only on leave to accumulate without any further action, then make the information system that manages the data to dig information by data mining techniques.
Type Classification of the Questions Suggested in a History Textbook of Elementary School

This study inquired into the meaning of the questions suggested in the textbook and analyzed the current status of the questions suggested in a history textbook of elementary school. In the first place, for analysis of the questions, this study introduced DOK (Depth of Knowledge), the question strategy for deep understanding by Dr. Norman Webb, who proposed a new understanding of the questions. Through this, this study classified the current status of the questions suggested in a history textbook of elementary school according to four-level types of the questions proposed by Webb.BR Consequently, it was possible to verify that the questions suggested in current history textbook of elementary school mainly consist of Type 1, focusing on mere recall of knowledge and information or learning of reproducing level. As for questions of Type 2, 3 and 4, they were proposed along with extremely limited text and data. To pursue deep understandings based on a range of thinking processes, it is crucial that sequential levels of the questions from Type 1 to Type 4 should be presented instead of focusing on only one type of question. It is required to have question strategies to advance from the stage of recall and reproduction of knowledge and information to the stage of extended thinking through strategic thinking and reasoning.
Learning object for education with AR and hand gesture recognition

Augmented Reality (AR) allows us to interact with the world and unlocking information and experiences by simply pointing our smartphone at any image, object or location. Over the past several years, AR applications becoming more popular and widely available in the smartphones. This project will show the implementation of gesture recognition to Augmented Reality to help improve the current AR technologies to interact with the realworld motion such as hand movements. This enable the users to make use of Augmented Reality to learn and explore in a different way. By implementing gesture recognition to Augmented Reality, the education method can become interesting and learn better using 3-D objects because it is visualized and the user able to interact with the objects. The project is build using Unity 3D and developed based on ManoMotion SDK. The methodology used in this application development is Rapid Application Development model.
Quantum gate design based on the interaction between Orbital momentum of an electron into a magnetic field

The total Hamiltonian of an electron in an atom is expressed in terms of its kinetic energy, its potential energy of interaction into the nucleus and the interaction of its total orbital angular momentum into a control magnetic field. By paring over to the interaction picture we get a second order Dyson series approximation for the evolution operator and then control the magnetic field so that the generator of the evolution operator well approximate a given generator when there is noise in the control magnetic field ,we evaluate the mean square error energy in this approximation
Dynamic Transfer Learning for Named Entity Recognition.

State-of-the-art named entity recognition (NER) systems have been improving continuously using neural architectures over the past several years. However, many tasks including NER require large sets of annotated data to achieve such performance. In particular, we focus on NER from clinical notes, which is one of the most fundamental and critical problems for medical text analysis. Our work centers on effectively adapting these neural architectures towards low-resource settings using parameter transfer methods. We complement a standard hierarchical NER model with a general transfer learning framework consisting of parameter sharing between the source and target tasks, and showcase scores significantly above the baseline architecture. These sharing schemes require an exponential search over tied parameter sets to generate an optimal configuration. To mitigate the problem of exhaustively searching for model optimization, we propose the Dynamic Transfer Networks (DTN), a gated architecture which learns the appropriate parameter sharing scheme between source and target datasets. DTN achieves the improvements of the optimized transfer learning framework with just a single training setting, effectively removing the need for exponential search.
The Impact of Interactive Reading Using Local Folktales Stories in Supporting Students’ Vocabulary Achievement in Indonesian EFL Learners

The big significant problem associated with the major foreign language is always influenced by teachers and students are the mastery of vocabulary. This study was designed to reconnoiter if a reading local folktales story was helpful for students’ English vocabulary at the second year students of SMA Muhammadiyah Kalosi-Enrekang. The research design used is classroom action research which is expected to illustrate the application of reading folktales to improve students’ vocabulary that comprised of two cycles, and in every cycle consisted of four stages. The subject in this research was class X-B in 2015-2016 academic years with 30 students. The test was administered to examine the impacts of interactive reading of Enrekang folktales stories toward students’ vocabulary achievement. Results published that the impact of reading the stories of the local folktales on vocabulary instruction is determined by comparing the performance of the participants in the D-test, test in cycle 1 and cycle 2, and a questionnaire after cycle 2. Reading local folktales is a potential activity to improve the students’ vocabulary. The questionnaire results also clarified the students’ attitude toward folktales technique as vocabulary instruction was favorable. This can be approved to the effect of using local folktales stories on increasing vocabulary performance of learners. The usage of folklore stories offers authentic reading resources which give the students a chance to intermingle with the text emotionally and involve themselves personally. In reply to this situation, teachers and students always developing and searching for manners to improve reading and vocabulary instruction.
Quantum Natures of Single-Mode Displaced Squeezed Vacuum State

The displaced squeezed vacuum state is produced by application of displaced operator on squeezed vacuum state.With help of density operator we find Q function, with the Q function mean, variance and quadrature variance would be calculated.From this we can determine the system has superpoissonian statics, the squeezed parameter is direct proportion with both mean and variance of photon number, but inversely proportion with quadrature variance.The squeezing occurs in plus quadrature with the maximum squeezing of 99.7% for r=3.
Alphabet Classification of Indian Sign Language with Deep Learning

Deaf–mute people interconnect through Indian Sign Language with all communities. Demanding of Sign Language Interpreter is increased day to day for solving gap of communication. Deep CNN plays key role for classification problem. We propose the Deep convolution neural network model for classification of alphabet signs. The model is prepared with addition of six convolutional layers and three fully connected layers. The alphabet signs with 3629 images of A–Z dataset are developed in college laboratory with help of students. Experiment is performed with 1744 sample images for training, 437 sample images for validation and 1448 sample images for testing among 3629 images. Proposed method is achieved 96% model classification accuracy. Training and validation datasets accuracy is achieved with 99% and 94.05% respectively.
Bringing Belief Base Change into Dynamic Epistemic Logic

AGM’s belief revision is one of the main paradigms in the study of belief change operations. In this context, belief bases (prioritised bases) have been primarily used to specify the agent’s belief state. While the connection of iterated AGM-like operations and their encoding in dynamic epistemic logics have been studied before, few works considered how well-known postulates from iterated belief revision theory can be characterised by means of belief bases and their counterpart in dynamic epistemic logic. Particularly, it has been shown that some postulates can be characterised through transformations in priority graphs, while others may not be represented that way. This work investigates changes in the semantics of Dynamic Preference Logic that give rise to an appropriate syntactic representation for its models that allow us to represent and reason about iterated belief base change in this logic.
10 plots of land on sale at Jorpati Chowk, Gokarneshwor Nagarpalika-06

Land For sale In Jorpati Chowk, Ward No. 6, Gokarneshwor Municipality, Kathmandu, Pradesh 3 Nepal
The Use of Google Maps As an Authentic Material in Japanese Classroom to Foster Learner Autonomy

Foreign language classrooms usually use textbooks as a main resource to learn. Textbooks are written in units or chapters, arranged gradually from the easiest unit to the more complicated ones. Other  than  textbook,  teacher  also  gives  students  authentic  materials.  Tomlinson  (2013)  defines  an authentic text as ‘one which is produced in order to communicate rather than to teach’ and an authentic task  as  ‘one  which  involves  the  learners  in  communicating  to  achieve  an  outcome,  rather  than  to practice the language’. According to him all texts and tasks should be authentic in these ways or else learners will not be prepared for the realities of language use. According to Scrivener (2011) when a teacher has empathy and authenticity, a language classroom becomes stronger, deeper, and educational climate becomes more positive, forward-looking and supportive enabling gradual learner autonomy. In this paper, writer disscuss the use of Google Maps as an authentic material in Japanenese Classroom to  foster  learner  autonomy.  Objects  of  this  paper  are  nine  students  in  level  four  Basic  Japanese  in Lembaga Bahasa Asing, University of Indonesia.  Keywords: Google Maps, Authentic Material, Learner Autonomy
Artex 2019 Earthscape

Synopsis of ArtworkAre computer codes and algorithms art? Is programming considered an expressive language just like other art forms? Those questions are in the center of the current debate about the position of computer arts in a wider contemporary art scene. Recently we see the birth of many artistic innovations involves coding such as interactive installation, digital performance, and visual music exhibited in museum/ gallery. EARTHSCAPE SERIES explores the artist intend to seek the artistic side of writing codes in creating digital illustrations by experimenting them with colors, lines, space, and patterns. The earth and urban landscape inspired the pieces.
Research on Test Technology of Intelligent Algorithm for Police Robot Vision System

Nowadays, robot vision analysis technology has been widely used in the field of public security. Police robots, the main applications of the technology, can perform security, patrol, rescue and other tasks based on visual analysis. However, with the rapid development and continuous updating of related technologies, various algorithms and models have emerged. It is difficulty for frontline police stations to choose an appropriate intelligent algorithm or model with good performance. Based on such problems, this paper proposes multiple evaluation methods for image retrieval, behavior judgment and other major applications, and analyzes their applicability and effects.
Step Two of @IndieWebCamp Online complete: I layed out my grid on paper and time to write the rules

Goal ReportBefore I even worry about how feed readers will discover poetry on my site I want to make sure it is purdy with human
S/MIME signature verification extension to JMAP

This document specifies an extension to JMAP for returning S/MIMEsignature verification status.
It Looks a Bit Like This: Prototyping in an Academic Library

Prototyping is an incremental process that facilitates those looking to make changes in products, services, or resources. Originating in industrial fabrication process, prototyping can be adapted by librarians to examine changes made to library services, amenities, and resources. They offer a cost-effective way of trying something new and needed, to ensure that patron needs are met. This article modifies prototyping into a five-step process and reviews five examples where the Lee Library used prototyping to inform library decisions to inform the development of library services, amenities, processes, and resources to better serve its patrons.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KOPI ARABIKA DAN ROBUSTA MENGGUNAKAN METODE Analytical Hierachy Process (AHP)

Many types of coffee community difficult to determine the choices.This research made to making an application web based assigned to help buyers ( user ) in choosing coffee. Application is made in a analytical hierarchy process.People in his routine always have time the term coffe break, now coffee too so menu opening for breakfast.The use of technology as a source of information to make the choice is necessary, hence application was built in such a way, so that it can beused by the community.From the implementation system, concluded that the use of this software can help the decision making against method AHP the selection of coffee
Lost in Latin translation : Teaching students to produce coherent target texts

The Dutch central final examination requires students to show their comprehension of a Latin source text by translating it into Dutch. However, students struggle, as is demonstrated by the incoherent target texts they produce when they are translating Latin. The research question this dissertation addresses is how to improve the coherence of these target texts. Four problems are identified related to translating Latin in Dutch upper secondary education, 1. The translation assignment, 2. The absence of defined learning activities for producing a coherent target text, 3. The absence of shared knowledge for teaching Latin translation, 4. The insufficiency of the rating method to assess target-text coherence. To address these problems, this dissertation presents a process-oriented translation strategy, aimed at the production of a target text that is understandable for a person unfamiliar with the source text. This strategy can be most effectively taught by an adaptation of the instruction method developed by Graham and Harris (1996, 2002). Target-text coherence is reliably assessed by comparison in pairs. The effects of the process-oriented translation strategy are tested by an experiment consisting of two competing experimental conditions: 1. A process condition, focusing on the process-oriented translation strategy, 2. A product condition, focusing on error analysis. The results show that after an intervention of four lessons, participants in both conditions significantly improve target–text coherence as well as ST-TT equivalence. This dissertation establishes that the process-oriented translation strategy offers a new and effective approach to teaching translation.
Engaging university students in an ESL live broadcast

Purpose This study aims to analyze the engagement of community members in an English as a second language (ESL) live broadcast. A platform for encouraging language and culture learning in ESL was planned and implemented. Research purposes were to explore the following aspects for engaging students’ participation: operation-monitoring, planning and implementation, incentives and motives, interactions with multiple formats and challenges. Design/methodology/approach The platform used for the ESL live broadcast was Open Broadcaster Software Studio. Through the live videos and instant messages delivered by the network, real-time interactions from different virtual sites were achieved. Observations and operation documentation were recorded. Interviews with the teacher, the library administrator and the students were carried out for collecting data. Inductive analysis was used to analyze the qualitative data from the different sources. Findings It was observed that the ESL broadcast reached a great number of users weekly. To engage the ESL broadcast community, efforts to monitor and plan for implementation were made. Students were encouraged by both external incentives and internal motivation. Managing the connectivity problems was essential for guaranteeing the quality of the real-time interactions. From their experiences, the participants were positive about the broadcast approach to learning ESL. More diverse topics and alternatives for oral interactions in the class are suggested in future implementations. Research limitations/implications The implementation of the ESL live broadcast provides a model for inviting members within the university community to engage in the language and culture learning. The research is preliminary and is limited to a specific university. Future research on diverse learning settings is needed. Originality/value The findings of this study will contribute to the research in streaming media interactions. The case might be applied to other settings and other subject domains.
Creating and Sharing Public Humour across the Media, a panelthe 16th IPrA conference

This panel explores the forms and functions of humour intraditional as well as social media, being interested in howspeakers, interlocutors and users design and make sense ofhumorous messages in public and semi-public,technology-mediated contexts. The papers will explore diverseissues in the quickly developing field of pragmatics of humour.
Multisensor Remote Sensing Data Integration

The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detailed spectral information (used to differentiate soil types) while radar data show structural details on the surface.
Development of Row-based Energy Evaluation Methodology for Legacy Data Centers and M&amp;V Baseline Models based on PUE

Data centers usually operate 24/7 year round and are very energy intensive. A data center sometimes uses up to 50 times more energy than a typical office building. High energy consumption can be attributed primarily to the IT demands and cooling equipment, power distribution. M&V (Measurement and Verification) is practical for all building types. An accurate determination of the energy baseline provides valuable feedback on the ECMs (energy conservation measures). As an alternative to the existing baseline method for normal buildings, we developed an energy baseline model for the M&V based on prediction models with the PUE index. This paper specifies a methodology of developing the PUE-based baseline for energy savings from the installation of mechanical and electrical systems in the data centers. In applying the PUE-based energy baseline, we derived the non-IT reference model and the baseline PUE for the IT server room area of large data centers in operation. This paper presents the standardized M&V approaches which target the minimizing of variations in quality across the analyses, and energy baseline requirements for data center projects and identifies energy prediction rules.
RX 470 VS GTX 1050 Ti: Which Is A Better Graphics Card?

Both cards use 4 GB of VRAM, although, there is an RX 470 that uses an 8 GB of VRAM, we won’t be talking about that here. A VRAM with 4 GB was great ...