Reviewerly/exHarmony huggingface dataset:
Simulation Of The Volcanic Ash Dispersion During The June 2019 Sinabung Eruption

The eruption of Sinabung on June 9, 2019, was categorized as a red code in the warning report for flights. Volcanic ash from volcanic eruptions is a serious threat in the world of aviation with the most dangerous ash particles are 6-10 μm and 37 μm in diameter. To enrich our understanding and modeling performances of the volcanic ash dispersion for the Sinabung eruption case, it is necessary to simulate the dispersion of volcanic ash in those particular sizes to see its distribution which can impact flight routes. The method used was the analysis of the direction and dispersion of the particular volcanic ash using Weather Research Forecast-Chemistry (WRF-Chem) and compared it with the volcanic ash warning information on flight routes issued by Volcanic Ash Advisory Centers (VAAC)-Darwin. In general, WRF-Chem can simulate the distribution of volcanic ash from the eruption of Sinabung at the two-particle sizes at different heights, and found the difference in the distribution direction of the two groups of the particle sizes. Comparison results with warning information from VAAC-Darwin and previous study, WRF-Chem simulation shows a good concordance in the dispersion direction.
Artificial Intelligence and The Protection Of Literary And Artistic Works

The paper tries to answer several questions raised by artificial intelligence in the realm of copyright law, namely: Are the works made by AI protected by copyright? If so, who is the copyright owner? Are there any remedies to copyright infringement by AI?
E-CART

Data stream mining has become important because of the emergence of huge, autonomous, complex, and evolving data in different real-world applications like e-commerce, telecommunication providers, credit-card fraud detection, network traffic, natural calamities forecasting, etc. Decision trees are the most popular technique for the mining the data streams. Concept-adapting Very Fast Decision Tree (CVFDT) and Efficient-Concept-adapting Very Fast Decision Tree (E-CVFDT) are the most popular decision tree-based approaches to handle the concept drift problem. The type of concept drift has not been considered effectively in previous decision tree-based data stream mining approaches. This chapter presents a novel decision tree-based stream mining approach named Efficient Classification and Regression Tree (E-CART) as a combination of the Classification and Regression Trees for Data Stream (dsCART) decision tree approach with a E-CVFDT learning system. The proposed E-CART approach mines the streams on the basis of its type of concept drift. Three types of concept drift are taken into consideration, i.e., accidental, gradual, and instantaneous concept drifts. A sliding window concept is used to hold the sample of examples and the size of the window is specified by the user. The proposed approach has been compared with other existing approaches in terms of computation time and accuracy by varying the size of the stream using rotating hyperplane and SEA concept generator on a Massive Online Analysis simulator. The results are more competitive than CVFDT and E-CVFDT.
SISTEM INFORMASI PENGOLAHAN DATA INVENTARIS BERBASIS WEB PADA UNIVERSITAS MUHAMMADIYAH JAMBI

Inventory is an activity and effort to provide records of the condition of facilities, items that have a laboratory. For educational institutions that have several laboratories it is very important to record facilities or inventory laboratory equipment and materials for activities, guidelines are obtained for preparing budgets or preparing for activities in the coming year, for example as learning. Muhammadiyah University (UM) is one of the universities in the city of Jambi in processing inventory data using Microsoft Word and there are several obstacles that are encountered, namely it is still difficult to record inventory. By paying attention to and also analyzing the problems faced, it is necessary to build a web-based information system with the aim of helping and making it easier for employees to be more efficient in processing equipment and goods inventory data quickly, accurately, on time, relevant and effectively so as to minimize errors. As small as possible and also optimize the performance of employees in the inventory of tools and goods. System input is in the form of inventory data, equipment and goods data, and transaction data. The data processing consists of the login process, the main menu display process, the inventory data menu display process, the tools and goods data menu display process, the transaction data menu display process, and the exit process. Output data in the form of goods data report. The expected result in this research is to make it easier to check the inventory data for tools and goods quickly and accurately.
Psychological factors in the development of professional competences of trainees increasing qualification in the system of public education

This article discusses the ways and means to develop professional competence of teachers in refresher courses. The analysis of continuing education as a subsystem of continuing education, its main functions, goals, content, and ways to implement them. A description of the training module as means of organizing the activities of mathematics teachers in refresher courses by addressing decision educational problems; Professional development in the context of continuous education is considered not only as a type of additional vocational education, but also as a process of updating professional knowledge and skills of specialists in accordance with modern requirements for the level of their preparation. Considering professional development in the aspect of the process of updating professional knowledge and skills of specialists, Russian scientists give various characteristics (definition) the process of changing the qualities of a specialist, reflecting the main functions ofprofessional development.
Implementation of a competency-based approach to Teaching Mathematics

A number of research works are being carried out in the world to improve the quality of teaching mathematics, introduce advanced pedagogical technologies in the educational process and use opportunities for interdisciplinary integration, create methodological support aimed at developing the creative abilities of students. In particular, it is important to effectively use the capabilities of the subject in teaching mathematics, to improve teaching methods for solving problems of problem situations when solving practical and applied and natural science, the use of scientific and methodological developments on the theoretical foundations of the subject in the educational process. Therefore, the article singles out a number of problems related to the kinematic section of physics in the algebra course, and describes the technologies for their solution.
A DECENTRALIZED AUCTION HOUSE AND E-MARKETPLACE ON TOP OF ETHEREUM

This paper describes blockchain enabled Auction House and e-marketplace. Traditional Auction house and e-marketplaces charges commission from users as well as have control over users They can block any merchant on their own wish without permission of merchant. Currently present auction houses charges large commissions. In this paper we’re proposing a platform using blockchain where seller can enlist product without ¬involvement of any third party. Our platform provides choices to seller to enlist product in different ways for selling like Direct Sell, Open Auction and Blind Auction. Different buyers can buy different products by different selling options. After comparison of cost using blockchain with online auction marketplace such as eBay it is observed that selling using blockchain decentralized app is cheaper than online options. Each transaction is verified through the blockchain and is recorded to the decentralized ledger. No trusted third parties. The transactions on the blockchain are trackable and irreversible thus buyers and the seller cannot breach the contract. This is the application which remedies all the drawbacks mentioned above.
Los Juglares de la Estadística

espanolTransmitir informacion y conocimiento ha sido siempre un reto que la sociedad ha resuelto de diferentes formas a lo largo de la historia, pero lo fundamental siempre ha sido el comunicar datos relacionados con un contexto historico, cultural y religioso. Actualmente la innovacion docente apuesta por introducir nuevas herramientas que complementen la ensenanza tradicional. En este trabajo se expone un enfoque diferente de innovacion en la ensenanza en el que se acompana al alumno en una nueva aventura cada dia. La clase tiene un componente de creacion de nuevas ideas, planteamientos y proyectos, no se trata de repetir lo que ya se ha descubierto, dando la impresion de que la informacion esta obsoleta y ademas, no le afecta en lo mas minimo a sus intereses y necesidades. Para captar la atencion del estudiante se desarrolla una clase en la que el profesor se convierte en un juglar que intriga al estudiante para resolver un misterio de forma colaborativa. EnglishTransmitting information and knowledge has always been a challenge that society has solved in different ways through history, but the fundamental thing has always been to communicate data related to a historical, cultural and religious context. Currently teaching innovation is committed to introduce new tools that complement traditional teaching. In this paper, a different approach to teaching innovation is exposed in which the student is accompanied on a new adventure every day. The class has a component of creating new ideas, approaches and projects, it is not about repeating what already has been discovered, giving the impression that the information is obsolete and also, it doesn´t affect in the least their interests and needs. To capture he student`s attention, a class is developed in a way in which the teacher becomes a juggler who intrigues the students to solve a mystery in a collaboratively way.
Knowing the No-match: Entity Alignment with Dangling Cases

This paper studies a new problem setting of entity alignment for knowledge graphs (KGs). Since KGs possess different sets of entities, there could be entities that cannot find alignment across them, leading to the problem of dangling entities. As the first attempt to this problem, we construct a new dataset and design a multi-task learning framework for both entity alignment and dangling entity detection. The framework can opt to abstain from predicting alignment for the detected dangling entities. We propose three techniques for dangling entity detection that are based on the distribution of nearest-neighbor distances, i.e., nearest neighbor classification, marginal ranking and background ranking. After detecting and removing dangling entities, an incorporated entity alignment model in our framework can provide more robust alignment for remaining entities. Comprehensive experiments and analyses demonstrate the effectiveness of our framework. We further discover that the dangling entity detection module can, in turn, improve alignment learning and the final performance. The contributed resource is publicly available to foster further research.
Design and Develop a Biometric Authentication System using Lip Image

Biometrics based authentication techniques have gained much importance in recent times. The reliability of any automatic biometric system strongly relies on the precision obtained in the grooves extraction process.  A number of factors damage the correct location of the groove.  Among them, poor image quality is the one with the most influence. The proposed alignment-based elastic matching algorithm is capable of finding the correspondences between grooves without resorting to exhaustive research. Lip features are extracted from the lip print of individuals using edge detection technique by studying the spatial orientations of the grooves present in the lip. The standard deviation and the variance are calculated between the segmented images and within the images. The main idea behind this approach is to identify human beings uniquely from their inherent physical qualities. Identifications using lip print biometric eradicate the problems associated with traditional methods of human identification.
Enfoque educativo del software como herramienta ante la pandemia: proyecto académico Qroute

This article displays the analysis and evaluation of the use of Emerging Technologies in a computer solution to contribute to health security in the face of the COVID-19 pandemic. The objective of the study is to envision Technology with a new approach, as a tool that favors autonomy and social isolation for the benefit of health. The case study of the QRoute academic project is presented, developed by university students who exhibit disciplinary skills and competencies in a comprehensive computing solution composed of a website and a mobile application for the tourist guide in Campeche. With the application of the heuristic method, the analysis, evaluation and correspondence of the Technologies used together with the main health security strategies imposed at the national level in Mexico was carried out. The result of the study concludes that the proposed IT solution directly favors two health security strategies, confinement and healthy distance. In this way, it is ensured that the software management can act as a strategic tool for the reactivation of social, economic and commercial processes in the country.
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos

Facial expressions vary from the visible to the subtle. In recent years, the analysis of micro-expressions $-$ a natural occurrence resulting from the suppression of one's true emotions, has drawn the attention of researchers with a broad range of potential applications. However, spotting microexpressions in long videos becomes increasingly challenging when intertwined with normal or macro-expressions. In this paper, we propose a shallow optical flow three-stream CNN (SOFTNet) model to predict a score that captures the likelihood of a frame being in an expression interval. By fashioning the spotting task as a regression problem, we introduce pseudo-labeling to facilitate the learning process. We demonstrate the efficacy and efficiency of the proposed approach on the recent MEGC 2020 benchmark, where state-of-the-art performance is achieved on CAS(ME)$^{2}$ with equally promising results on SAMM Long Videos.
Derivation of the Schrödinger Equation from First Principles

A particle model developed elsewhere is presented very briefly, in which particles are seen as vortex structures in a kind of fluid. The particle core is tied by vortex lines to the cores of other particles in the vicinity. The model is shown to explain spin ½ as a topological effect. It also sheds some light on the process of intrication. But vortex lines also induce velocities on themselves and on other vortex lines. When the Hasimoto transformation is used, the velocity induction equation is shown to give rise to the Schrodinger equation for the particle.
AGGGEN: Ordering and Aggregating while Generating

We present AGGGEN (pronounced 'again'), a data-to-text model which re-introduces two explicit sentence planning stages into neural data-to-text systems: input ordering and input aggregation. In contrast to previous work using sentence planning, our model is still end-to-end: AGGGEN performs sentence planning at the same time as generating text by learning latent alignments (via semantic facts) between input representation and target text. Experiments on the WebNLG and E2E challenge data show that by using fact-based alignments our approach is more interpretable, expressive, robust to noise, and easier to control, while retaining the advantages of end-to-end systems in terms of fluency. Our code is available at https://github.com/XinnuoXu/AggGen.
Cost-Benefit Analysis of Nigeria’s Continued Role in ECOWAS

This study attempts to discuss the cost-benefit analysis of Nigeria's continued membership in the Economic Community of West African States (ECOWAS).The study identifies the issues belabouring the relationship between Nigeria and ECOWAS and it concludes that Nigeria can only remain in ECOWAS if the relationship promotes the national interest of the Nigerian populace.This article studied the structure, organisation, function, aims, and objectives of ECOWAS alongside Nigeria's achievement and contributions to ECOWAS.The paper discussed the cost and benefit of Nigeria's continued membership of ECOWAS and recommended a revision of the relationship that presently exists between Nigeria and ECOWAS.The paper posited that the principles of quid pro quo must be adopted in Nigeria's relationship with ECOWAS.
ANALYSIS OF THE IMPLEMENTATION OF THE SIMPLE SALARY SIM APPLICATION IN GROGOL DISTRICT, SUKOHARJO DISTRICT

Abstract: Implementation of Civil Servant Salary SIM in the Administrative Service Office of the Education Unit, Grogol District, Sukoharjo Regency. This research is conducted in this analysis which contains the use of the Government Salary SIM application which is implemented in all regions as a means of calculating, storing and maintaining civil servants' data based on computerization and connected to the government-owned Internet network. The research method used was interview, application observation and literature study. The system design that can be concluded by the author is using Context Diagram, DAD, HIPO and input and output system design.Keywords : Information System, Education Office, Employees and Salaries.
The Use of Constructivism E-Modules by Using the 3D Pageflip Professional Application to Increase Learning Motivation of Fifth Grade Elementary School Studens

Development research aims to produce teaching material products in the form of learning modules. Learning modules are made in the form of electronic modules or electronic modules using the 3D PageFlips Professional application. The model used in this study is the ADDIE model, namely Analysis, Design, Development, Implementation, and Evaluation. The subjects of this study were students in grade VB SD No. 155 / I Sungai Buluh. The results of this study are used to see students' motivation towards e-modules developed. The results of the data obtained show that the motivation of students after using e-modules using the 3D PageFlips Professional application is 87.50% good.
Hermeneutic analysis as a basis of forming a musician’s artistic experience

espanolEn el curso del trabajo, se ha encontrado que el analisis hermeneutico de la musica es el tipo mas complejo de analisis de la realidad artistica. La interpretacion como resultado del analisis hermeneutico se convierte en una condicion necesaria para la formacion de la experiencia artistica. El procedimiento basico de los metodos hermeneuticos de comunicacion con las obras de arte es el uso del interprete en el mundo espiritual del autor, la empatia subjetiva y la reconstruccion objetiva del mundo cultural e historico. Todo lo sugerido anteriormente permite llegar a afirmar que dominar las habilidades de analisis hermeneutico es la base para dar forma a la experiencia artistica del artista. EnglishIn the course of the work, it has been found that hermeneutical analysis of music is the most complex kind of artistic reality analysis. Interpretation as a result of hermeneutical analysis becomes a necessary condition for the formation of artistic experience. The basic procedure of hermeneutical methods of communication with works of art is the use of the performer in the author’s spiritual world, the subjective empathy and objective reconstruction of the cultural and historical world. All of the suggested above allows come to statement that mastering hermeneutical analysis skills is the basis for shaping the artist's artistic experience.
Optimizing the Membership Degree of Fuzzy Inference System (FIS) and Fuzzy Clustering Means (FCM) in Weather Data Using Firefly Algorithm

In weather clustering, there are many variables which can be observed such as air temperature, humidity, sunlight intensity, and so on. In this research, Takagi-Sugeno Fuzzy Inference System (FIS) will be used for forecasting the sunlight intensity based on temperature and humidity and Fuzzy Clustering Means (FCM) will be used for clustering them based on fuzzy set. From the data consisting of temperature, humidity, and sunlight intensity, we will forecast sunlight intensity and cluster them into two clusters, three clusters, and four clusters by FCM method. In FIS method, the membership degree are often generated by trial and error. Also, the optimization of the initial of membership degree are required in FCM. Because the initial of membership degree are often generated by trial and error, in this research, we use heuristic method like Firefly Algorithm to optimize the membership degree. From the simulations, Firefly Algorithm can optimize the membership degree of FIS for forecasting the data with minimum Mean Square Error (MSE) and the initial of membership degree of FCM with two clusters, three clusters, and four clusters with minimum objective value.
A study on a novel probabilistic procedure to efficiently encode progressive orders of activity patterns on Compact Features for Human Activity Recognition via Probabilistic First-Take-All

With the attractiveness of mobile sensor technology, smart wearable devices open aunmatchedoccasion to solve the puzzling human activity recognition (HAR) problematic by learning communicativesigns from the multi-dimensional daily sensor signals. This motivates us to improve a new algorithm relevant to both camera-based and wearable sensor-based HAR systems. Even though competitive classification correctness has been described, existing systems often face the encounter of distinguishing visually similar activities composed of activity patterns in different temporal orders. In this paper, we recommend a novel probabilistic procedure to efficiently encode progressive orders of activity patterns for HAR. Exactly, the algorithm studies an optimal set of latent patterns such that their progressive configurations surely matter in identifying different human activities. Then, a novel probabilistic First-Take-All (pFTA) methodology is announced to create solid features from the orders of these latent patterns to encode the entire sequence, and the temporal structural relationship between different sequences can be professionally dignified by the Hamming remoteness between compact features. Trials on three open HAR datasets display the suggestedpFTAmethodology can reach competitive presentation in relations of accuracy as well as efficiency.
Best RGB Mechanical Keyboard

What is there not to like about an RGB mechanical keyboard? It doesn’t just function as an input device, it has proven to be a source of visual ...
Цифрові валюти у світовій фінансовій системі: переваги, недолікі, ризики, регулювання

The paper analyzes the role of digital currencies in the global financial system, the peculiarities of their use. The paper pays attention to the characteristics of the historical preconditions for the emergence of electronic payments and, as a consequence, digital currencies. The paper analyzes the features of the emergence and functioning of major global cryptocurrencies - Bitcoin, Ripple and Ethereum. The advantages of cryptocurrencies, the authors of the study include unlimited opportunities for transactions, no borders, transaction speed. Among the disadvantages of cryptocurrencies is the lack of a proper level of knowledge, which leads to the spread of fraud. The paper presents the volume and share of bitcoin trade in different markets during the period from January 2013 to January 2018. The results of the study allow us to conclude that the modern cryptocurrency market, despite the fact that the evolution of electronic money is in its infancy, and cash is still the most important form of payment for retail transactions, is highly competitive and fragmented.