Reviewerly/exHarmony huggingface dataset:
Training a Neural Network

A neural network is composed of a number of parameters, also called weights. The neural network training is the estimation procedure of those parameters. In this chapter, the training procedure of a neural network is described based on the gradient descent method and the backpropagation algorithm.
Financial Development and Economic Growth in Korea

Does financial development contribute to economic growth? The literature finds that an expansion in financial resources is useful for economic growth if the degree of financial development is under a certain threshold; otherwise, the expansion is detrimental to growth. Almost every published study, however, considers country-panel data. Accordingly, the results are not directly applicable to the Korean economy. By examining Korean time-series data, this paper finds that there is an inverse U-shaped relationship between the per capita real GDP growth rate and private credit (as a percentage of nominal GDP)―a well-known measure of quantitative financial development, where the threshold is 171.5%. This paper also finds that private credit is positively associated with economic growth if the share of household credit out of private credit is less than 46.9%; otherwise, private credit is negatively associated with economic growth. As of 2016, the ratio of private credit to GDP and the ratio of household credit to private credit are both higher than the corresponding thresholds, which implies that policymakers should place more emphasis on qualitative financial development than on a quantitative expansion of financial resources.
GraphSAD: Learning Graph Representations with Structure-Attribute Disentanglement

Graph Neural Networks (GNNs) learn effective node/graph representations by aggregating the attributes of neighboring nodes, which commonly derives a single representation mixing the information of graph structure and node attributes. However, these two kinds of information might be semantically inconsistent and could be useful for different tasks. In this paper, we aim at learning node/graph representations with Structure-Attribute Disentanglement (GraphSAD). We propose to disentangle graph structure and node attributes into two distinct sets of representations, and such disentanglement can be done in either the input or the embedding space. We further design a metric to quantify the extent of such a disentanglement. Extensive experiments on multiple datasets show that our approach can indeed disentangle the semantics of graph structure and node attributes, and it achieves superior performance on both node and graph classification tasks.
Overcoming Mortal Kombat: Design and Assessment of Educational Videogames for Language and Mathematics for First and Second Grade

This document reports an experience of implementation of educational videogames in Six schools of Santiago. The objectives involved the evaluation of the educational aspects of self-regulated videogames developed on a low cost platform, oriented to foster language and math skills development in 1st and 2nd grade students. For this purpose, pre and post tests were carried out to assess the educational contents, and observation forms were used to make a follow-up of Other aspects related to the educational environment, as motivation, concentration, discipline and transversal educational objectives. Results indicate that the computational tool has important educational effects, mainly related to motivation, concentration and some transversal objectives,
A New Hybrid Approach For Classification Problem

This work aims to introduce a new learning algorithm for classification issue. The suggested approach combine the self-organizing map (SOM) with the Extreme learning machine (ELM). In this algorithm, the load between input and hidden layers is made using the information retrieved from SOM on the training dataset. The weights of the output layer is adjusted applying an analytical method. Based on four classification benchmark, simulation results clarify that the new approach outperforms other learning algorithms and return sufficient performance in terms of learning speed and generalization. A comparative study with a number of other methods proves the efficiency of the proposed approach.
Adaptasi Laporan Keuangan Pada Entitas Nonlaba Berdasarkan Isak 35 (Studi Kasus pada Universitas Ibrahimy Sukorejo Situbondo)

This research aims to analyze and adapt the financial reporting of non-profit entities based on Interpretation of Financial Accounting Standards 35 (ISAK 35): concerning the Presentation of Financial Statements for Non-Profit Oriented Entities. Namely the interpretation of the Statement of Financial Accounting Standards 1 (PSAK 1): concerning the Presentation of Financial Statements. For other accounting provisions for non-profit entities, it refers to the Financial Accounting Standards for Entities without Public Accountability (SAK ETAP) and Sharia Accounting Standards (SAS). Qualitative research was conducted with a case study at the University of Ibrahimy Sukorejo Situbondo. The results of this study, it is necessary to change the accrual basis recording method with the double entry system, preparation of adjusting journals to then compilation of financial position reports, comprehensive income reports, changes in net assets reports, cash flow reports and notes on financial reports based on ISAK 35. Adaptation of university financial reports Ibrahimy based on ISAK 35 is carried out by adjusting the required account posts by Ibrahimy University with the accounts stated in the Interpretation of Financial Accounting Standards 35 (ISAK 35)
RANCANG BANGUN APLIKASI PEMBELAJARAN BISNIS ONLINE BERBASIS MOBILE PADA MASTER ONLINE COMMUNITY JAKARTA

Distance learning media or e-learning is not just limited to the use of computers alone, with communication utilization on mobile devices (mobile phones) enables the development of e-learning features. Advances in information technology in various learning processes are utilized to improve the quality of learning for members of the Online Community Masters, but in the learning process is still using conventional learning methods that are only done at regular meetings in office workshops. In conventional learning is very difficult for members who are far from the reach of workshop office. By utilizing the internet and mobile phone technology android can support the development of self- learning distance, especially by prioritizing the ease, flexibility and interactivity between users. Researchers use SWOT analysis (Strength, Weakness, Opportunity, Threat) to analyze strengths, weaknesses, opportunities and threats, so that researchers can conclude that with the application of android-based e-learning is expected to improve the learning process and activities of community members. E-learning applications can access content in the form of learning materials in the form of text, images and video and can also see the material without any limitations by space and time to learn.
Improving Person Re-Identification Rate in Security Cameras by Orthogonal Moments and a Distance-based Criterion

Surveillance and security cameras help security forces in public places such as airports, railway stations, universities and office buildings to perform high-level surveillance tasks such as detecting suspicious activity or anticipating undesirable events. Re-Identification (Re-ID) is defined as the process of communicating between images of the person in different cameras in a surveillance environment. Changing the field of view of any camera presents challenges such as changing body posture, changing brightness, noise and blockage. This article focuses on extracting the most distinctive features to overcome these challenges. The features of Hu moment, Zernike moment in 9th order and Legendre moment in 9th order for each image are extracted and merged into a single feature vector to form a single feature vector for each image. Principal Component Analysis (PCA) was used to reduce the vector dimensionality and finally the Mahalanobis distance criterion was used for identification. The proposed method in the VIPeR database has achieved a re-ID rate of 96.5. Although the presented method is simple, the outcome has been superior compared to many of the state-of-the-art methods.
Сучасні інформаційні технології в освітньому процесі

The article analyzes the current state of application of information technologies in the educational process, the changes taking place in this direction in connection with the new reform of higher education. The tasks put forward by scientists to information technology in education are indicated. Attention is focused on the further achievements of the global rationalization of intellectual activity in society through the use of new IT. A set of modern methods and tools used in the educational process in developed countries is considered.
An Analysis of Students’ Achievement in Reading Comprehension at the Tenth Grade of SMKN 1 Rejotangan

To read something especially long text in foreign language, students usually have problems, for example lazy and bored. If this problem still continues, it will give affect for students’ achievement. This research aims to find out how is the tenth grade students' achievement in reading comprehension at SMK 1 Rejotangan in the academic year 2018/2019. The researcher used qualitative methods to obtain valid data from 37 tenth grade student participants in X-AP2 class. The researcher obtained data of reading comprehension test scores from teachers with an average grade of 55, with minimum criteria score of 75. To test the validity, researchers conducted interviews with teachers and students, questionnaires that answered by students, and observations of teaching and learning activities on reading comprehension. After re-analyzed, it can be concluded that the learning of reading comprehension in the recount text, students get low achievement. They have problems caused by themselves, they have difficulty in understanding the contents of the text, limited of vocabulary, and they lack motivation to learn.
Some questions of the analysis of mappings of metric and partially ordered spaces

The questions of existence of solutions of equations and attainability of minimum values of functions are considered. All the obtained statements are united by the idea of existence for any approximation to the desired solution or to the minimum point of the improved approximation. The relationship between the considered problems in metric and partially ordered spaces is established. It is also shown how some well-known results on fixed points and coincidence points of mappings of metric and partially ordered spaces are derived from the obtained statements. Further, on the basis of analogies in the proofs of all the obtained statements, we propose a method for obtaining similar results from the theorem being proved on the satisfiability of a predicate of the following form. Let (X,≤) − be a partially ordered space, the mapping Φ:X×X→{0,1} satisfies the following condition: for any x∈X there exists x^'∈X such that x^'≤x and Φ(x^',x)=1. The predicate F(x)=Φ(x,x) is considered, sufficient conditions for its satisfiability, that is, the existence of a solution to the equation F(x)=1. This result was announced in [Zhukovskaya T.V., Zhukovsky E.S. Satisfaction of predicates given on partially ordered spaces // Kolmogorov Readings. General Control Problems and their Applications (GCP–2020). Tambov, 2020, 34-36].
Graph signal active contours

With the advent of data living on vertices of graphs, there is much interest in processing the so-called graph signals for partitioning tasks. As active contours have had much impact in the image processing community, their formulation on graphs is of importance to the field of graph signal processing. This paper proposes an adaptation on graphs of a model that combines the Geodesic Active Contour and the Active Contour Without Edges models. In addition, specific terms depending on graphs are introduced in the formulation. This adaptation is solved using a level set formulation with a gradient descent that can be expressed as a morphological front evolution process. Experimental results on different kinds of graphs signals show the benefit of the approach.
Reference Management Tools: A Comparative Study

Reference management tools have been widely used by researchers to store, organize, and manage their references for theses, dissertations, journal articles, and other publications. There are a number of RM (Reference Management) tools available. In order for the users to decide which tool is best for their needs, it is important to know each tool's strengths and weaknesses. The present study compares prominent RMs Tools like RefWorks, EndNote, Mendeley, Zotero in terms of features offered and the other associated properties.
Comparison of Surface and Shallow Seismological Networks Based on Experimental Data

Summary We compare sensitivity of surface and shallow seismological networks in recording weak local seismic events. We analyzed real records from the existing seismological networks containing six monitoring points. Initially surface seismologic network was operated for several years. Then the seismometers were buried at the same locations to depths ranging from 70 to 90 meters. In the same region another downhole microseismic array was operating. This downhole array had the highest sensitivity providing the reference catalog of local weak microseismic events for comparison with the results of the surface and shallow seismological networks. Analysis of real-data records revealed high variability of the improvement of the station sensitivity after installing it at shallow depth. Background noise level decrease ranged from 2.5 to 40 times depending on the point. Such variability is indicating that the area is characterized by considerably different nature of background noise level. There is also significant variation in noise levels during working and non-working hours. The average noise reduction for the entire network was 11 times. Comparison with the reference catalog (from downhole array) revealed that the network sensitivity increased by 0.92 (ML) and the number of recorded weak earthquakes increased by 10 times after shallow installation.
Implementasi Metode Pose To Pose Untuk Perancangan Animasi 2D Proses Pernikahan Adat Jawa

The development of animation nowadays increasingly puts demands on animators to complete their work quickly. In this thesis, we will discuss about a method which will make it easier for animators to finish production without wasting time. Create a traditional Javanese wedding process with the Pose to Pose method. 2D animation that is influenced by a good animating process on its movements will make the animation look alive. The pode to pose technique is one of the methods used in the animating process because the application of this method uses the basic principles of animation. By using the pose to pose method, the resulting movement will be known. The method applied aims to smooth the motion in animation. Keywords : Animation, Pose To Pose Method, Marriage, Javanese Custom
Меметика як нова наука про вірусний контент: діахронічний розвиток напряму

The paper considers the meme as an information unit, the appearance and development of a concept, as well as the science that studies memes – memetics. The focus of attention is directed precisely at memetics, particularly at its origins and main theses, as well as the diachronic aspect of the development of this scientific direction. Aspects of memetics as a global science, as well as a meme, as a unit of cultural information, which is now widespread in the Internet environment and found in a person’s personal communication, are examined. The work identifies the methodology of memetics, its main characteristics, and analyzes the works of the most significant scientists for the direction, in particular: Richard Dawkins, Daniel Dennett, Richard Brody, Aaron Lynch, Susan Blackmore, Douglas Rushkoff, Ilya Nosyrev, Tatyana Savitskaya and others. The main objective of the paper is to consider the historical development and formation of memetics as a science of the dissemination of information in society based on the Charles Darwin's biological theory of evolution, as well as a scientific analysis of the very concept of meme as a key one in the framework of memetics. One of the central concepts of scientific research is the concept of the Internet meme, as separated from the main points of memetics and used to define Internet content. Based on the results of a review of the previous scientific works, the main stages of the development of memetics and the early attempts of scientists to introduce the concept of «mental virus», which is considered a meme due to its individual characteristics, are highlighted. The key point of the study is that the concept of an Internet meme is considered spontaneous on the World Wide Web. However, it includes all the features of a traditional meme, as well as features acquired during development, which should also be considered from a scientific point of view. This paper is important because it presents a systematization of knowledge about memetics, its historical path and has the goal of comprehensive coverage of modern science and its aspects in the modern scientific environment.
Sistem Informasi Pemesanan Lapangan Pada Arena Futsal Kelapa Dua Berbasis Web

Kelapa Dua Futsal Arena is an individual company engaged in the futsal field reservation service. In this futsal ordering service, the service factor affects the smooth operation of the information. With good information system services and also optimizing profits on the futsal field ordering service. Therefore a website is needed in order to simplify the process of ordering the futsal field and provide information on the availability of empty fields to the orderer through the ordering information system.
Artificial (un)Intelligence – an Opportunity or a Threat?

The article contains considerations relating to the dynamic development of artificial intelligence, which is the fastest growing technology in the world. The article attempts to define concepts that state what intelligence and artifical intelligence is (1). It also draws attention to the development of artificial intelligence (2). All of them are closing arguments seeking answers to the question: Artificial intelligence – an opportunity or a threat? (3). It should be borne in mind that the continuous improvement of the possibilities of artificial intelligence means that it will be able to surpass human intellectually.
Analisis Wacana Lisan Pada Interaksi Belajar Mengajar di Kelas VI MIN 2 Kota Bengkulu

The purpose of this study was to: (1) describe the structure of conversation in the interaction of teaching and learning of student teachers in class VI MIN 2 Bengkulu City, (2) describe the function of speech language in conversations on teaching and learning interactions of student teachers in class VI MIN 2 Bengkulu City, ( 3) describe the function of the use of particles in conversation in the interaction of teaching and learning of student teachers in class VI MIN 2 Bengkulu City. This study used descriptive qualitative method. The subject of this research is the utterance between teachers and students on teaching and learning interactions in the classroom. The sampling technique in this research is purposive sampling. Data collection techniques used were (1) observation techniques, (2) recording techniques, (3) note taking techniques, and (4) document analysis techniques. The validity of the data in this study used the method triangulation technique. Based on the results of the study it can be concluded: 1) Interactions in learning Indonesian in class VI MIN 2 Bengkulu City are studied based on discourse structure. Existing discourse structure includes lessons, transactions, exchanges, movements, and actions. Learning is the highest unit in discourse analysis. Transactions are used to mark the transition of several topics in learning consisting of one or several exchanges. Exchange is used to mark sub-topics in learning. Motion is used to classify the actions taken by the teacher and students. Follow-up is used to analyze the things that are done by the teacher and students during the learning process. Learning that occurs between teachers and students in class VI MIN 2 Bengkulu can be said to be successful because students can answer most of the questions given by the teacher. 2) The function of language includes three things, namely stating something or providing information that is realized with a declarative sentence, asking for information or asking something that is realized with an interrogative sentence, and giving orders or doing something that is realized with imperative sentences. Even though the language function has its own form, in its application the form and function of the language are not always the same. In other words that the form and function of language are flexible. 3) Particles are forms of language that cannot be interpreted semantically or syntactically. The use of particles in teaching and learning interactions serves as the teacher's response or follow-up on actions taken by students and markers of boundaries in discourse.
Verification of the Data Intactness of Outsourced Data at Untrusted Public Cloud

Cloud computing is a major technology in this present era of globalization , as there is an opportunity to access the resources of our own from any part of the globe. It is well accepted by most of the start up companies (user) as the initial investment is less and there is a possibility to hire everything as a service (XaaS). Cloud offers processors, networks, memory, and hard disks as a service to the business organizations (user). As long as they pay for the service, company data remains present in the cloud. Most of the companies are able to connect to cloud for the required service when there is an ordinary data involved in their process. But the same company is not ready to process confidential data  environment as there is  not much  trust on public cloud services. Definitely the cloud service provider  concern all the user issues but if it goes out of cloud hands then the problem arise, as it leads to take a second chance on cloud service continuity from the users perspective. Anyway  responsibilities lie with cloud service provider. User worry is about data intactness before and after processing of a particular service. User can take the advantage of cryptanalysis for confirmation of the intactness of the uploaded data. User ha  choice to use a particular encryption technique ( RSA, DES, Triple DES,AES,IDEA etc) before uploading data , hence stored data will be in the form of cipher text. User need to apply suitable decryption algorithm to make it available in the form of plain text. The proposed system will address the issue of data intactness using a specific encryption technique before uploading data in cloud storage.
Optimal Path Planning for a Team of Heterogeneous Drones to Monitor Agricultural Fields

Abstract In this work, we investigate the problem of finding the minimum coverage time of an agricultural field using a team of heterogeneous unmanned aerial vehicles (UAVs). The aerial robotic system is assumed to be heterogeneous in terms of the equipped cameras’ field of view, flight speed, and battery capacity. The coverage problem is formulated as a vehicle routing problem (VRP) [1] with two significant extensions. First, the field is converted into a graph, including nodes and edges generated based on sweep direction and the minimum length of UAVs’ footprints. Second, the underlying optimization problem accounts for aerial vehicles having different sensor footprints. A series of simulation experiments are carried out to demonstrate that the proposed strategy can yield a satisfactory monitoring performance and offer promise to be used in practice.