Reviewerly/exHarmony huggingface dataset:
MIXED METHODS - METHODOLOGICAL PROPOSAL TO THE SOCIAL SCIENCES

The article is devoted to the issues of modern research methodology in the humanities and social sciences. It examines the growing interest of the research community and methodologists of science in the field of humanities and social sciences in the use of mixed research methods - a combination of quantitative and qualitative analysis. It is concluded that the current interest of researchers in the use of mixed methods possibly indicates the formation in the humanities and social sciences of a new research paradigm based on the development of the methodology of mixed methods as an independent methodology.
ANALYSIS OF SELF SERVICE SYSTEM METHODS AT GAS STATIONS

During the study, the methods of service at modern gas stations were considered and given the fact that every year the number of cars in Ukraine can often be observed when there are queues and quarrels at gas stations due to long service, competition between gas stations has many factors but one of the main is quality fuel and service time, whether there are workers who will refuel your car, whether there are self-service terminals or speakers with a built-in self-service terminal, what is the attitude of gas station employees to their customers.Analysis of the gas station market in Ukraine is an important and relevant topic.During the research of the topic, it was found that the method of queuing, namely the queuing system in the flow, is the most suitable for the work of service at the gas station.The study also considered the main problems of service, the history of technical progress in the field of service at the gas station, determined the future effectiveness of the proposed technology compared to existing ones.The main parameters of gas station operation, which positively affect customer satisfaction are quality fuel, convenience of location, courtesy and friendliness of operators, speed of service, cleanliness at gas stations and opportunity.Of all the parameters, two main ones can be distinguished, namely service time and fuel quality.Service time depends on the method of service.There are three ways of service, namely personnel service, terminal service, service by means of a column with the self-service terminal, each of these methods has the advantages and disadvantages.While in Europe, self-service terminals are being replaced by speakers with a built-in terminal and software is being upgraded, in Ukraine, unfortunately, you can see that only gas station units have self-service terminals, and gas stations with a built-in terminal are generally from the fiction section for more fun customer service should be automated and the introduction of self-service columns in gas stations in Ukraine is essential, so I decided to prove that customer service equipment directly affects customer loyalty and satisfaction and increases service speed, increases the economic efficiency of gas stations and research results this is definitely proven.Key words: queuing method; Gas station; technical progress, efficiency of the offered technology in comparison with existing.Анотація.Під час дослідження були розглянуті методи обслуговування на сучасних АЗС.Враховуючи те, що з кожним роком збільшується кількість авто в Україні, часто можна спостерігати ситуацію, коли на АЗС виникають черги і сварки через довге обслуговування.Конкуренція між АЗС має безліч факторів, але одними із основних є якість пального та час обслуговування, чи є робітники, які заправлять вам авто, чи є термінали самообслуговування або колонки із вбудованим терміналом самообслуговування, яке ставлення працівників АЗС до своїх клієнтів
Reform and Practice of College Physical Education Teaching Model Based on Big Data

Under the background of the era of big data, my country's economic development is very rapid, and my country's college physical education and teaching have also made a certain degree of reform in response to the current era of big data. This article combines the current problems in physical education, discusses the content and significance of physical education reform under the background of answer data, in order to provide reform measures that are more in line with the development of practice, and continue to promote the development of current college physical education. This research takes the undergraduate talent training model of physical education major in the University of Physical Education as the comparative research object. Through the use of literature research, questionnaire method, comparative analysis, mathematical statistics and other methods, to master the undergraduate talent training model of physical education major in ordinary universities under the background of big data The status quo and similarities and differences of the university’s physical education teaching model under the background of big data have been discovered. Taking the status quo of university physical education reform as the starting point, the application of modern education technology is an inevitable discussion of deepening the reform of university physical education. , Put forward several countermeasures and suggestions for applying modern education technology to deepen the reform of college physical education. The experimental research results show that, in the context of the rapid development of this era of big data, the popularization and improvement of college sports also needs to open up new ideas to innovate, and it also requires every school sportsman to actively think and challenge.
Solar Potential Estimation by Reconstructing 3D Model of Buildings- A Case Study of Residential Complex NESAC, Meghalaya, India

As carbon based fossil fuels are becoming rapidly scarce, renewable energy sources are coming to the forefront of policy discussions around the globe. As a result, the State of Meghalaya has implemented aggressive goals to achieve energy independence by 2030. Renewable electricity generation using solar photovoltaic technologies plays an important role in providing electricity in Remote area. This study utilizes geographic information systems (GIS) and unmanned aerial vehicle (UAV) data with statistical analysis to identify how much solar irradiance exists for rooftops in residential complex. This study helps to quantify the magnitude of possible solar photovoltaic (PV) potential for Solar World SW260 monocrystalline panels on residential rooftops within the study area. Three main areas were addressed in the execution of this research: (1) modeling of buildings, (2) identify potential rooftops for solar radiation, and (3) calculating the amount of energy generated from incoming solar radiation. High resolution UAV data and Esri’s solar modeling tools are used to calculate incoming solar radiation on a sample set of digitized rooftops. Sample set rooftops were analysed using a photogrammetric techniques by generating 3D model of buildings to identify the rooftop area, facing, shape and elevation. The multipatch file of study area is sample set of rooftop which was applied to ArcGIS analyst tool to calculate total PV potential. The total study area statistical analysis findings estimate photovoltaic electric energy generation for rooftops is approximately 16 kwh perday, which is 26% of total energy demand of residential complex. This is approximately 26 percent of the total electricity the utility provided to the entire residential complex for the use of low energy consumption devices.
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil

Statistical machine translation (SMT) was the state-of-the-art in machine translation (MT) research for more than two decades, but has since been superseded by neural MT (NMT). Despite producing state-of-the-art results in many translation tasks, neural models underperform in resource-poor scenarios. Despite some success, none of the present-day benchmarks that have tried to overcome this problem can be regarded as a universal solution to the problem of translation of many low-resource languages. In this work, we investigate the performance of phrase-based SMT (PB-SMT) and NMT on two rarely-tested low-resource language-pairs, English-to-Tamil and Hindi-to-Tamil, taking a specialised data domain (software localisation) into consideration. This paper demonstrates our findings including the identification of several issues of the current neural approaches to low-resource domain-specific text translation.
Chinese Named Entity Recognition based on Transformer Encoder and BiLSTM

Transformer encoder, which is often used for feature extraction, is ineffective in named entity recognition tasks due to the damage of word embedding, the loss of position information and direction information. In this paper, a method of Chinese named entity recognition at character level based on BiLSTM, Transformer encoder and CRF is proposed, which improves the use of position vector in Transformer, splices word embedding and position vector as character representation layer to avoid loss of word embedding information and position information. Extracting context features and incorporating direction information into position vector through BiLSTM. Besides, Transformer encoder is introduced to extract inter-word relationship features, and finally CRF is used to decode globally. Experiments on universal MSRA and Thangka datasets achieves 81.4% F1 value and 88.3% F1 value respectively, and show that the method effectively improves the performance of Chinese named entity recognition.
Application of a new technology stack in the development of the mobile app «Schedule of classes»

Abstract The task of improving the effectiveness of activities aimed at prompt receipt of information by students of Reshetnev Siberian State University of Science and Technology is solved by using the developed mobile application «Schedule of classes». Due to the heavy load on the University’s unified server, there are temporary delays in accessing the main site, which makes it inconvenient to use it. In this regard, there is a need to solve this problem by bringing the described process to partial autonomy. This approach will allow you to combine high performance due to the speed of the mobile operating system and expanding the functionality of both the application itself and the means of sending information from the management of the Institute to students. The purpose of this work is to study and analyze existing mobile applications of other universities, their advantages and disadvantages. Based on the research, develop a mobile application, agreeing with the Directorate of the Institute of Informatics and telecommunications tasks. This article presents the main aspects of the design and software solution. The software solution is implemented in the Android Studio integrated development environment in the Dart programming language, using the Flutter SDK.
Estudo psicométrico: Questionário de Conhecimentos das Intervenções Autónomas de Enfermagem no Doente com Síndrome Coronário Agudo

Background: The recognition of nurses autonomy can only be achieved if it is correctly measured and validated.In this sense, it is imperative to evaluate their knowledge, recognizing their decisive role.Objective: To validate and evaluate the psychometric properties of the Knowledge Questionnaire about Autonomous Nursing Interventions for patients with Acute Coronary Syndrome.Methodology: Methodological, descriptive, analytical-correlational and cross-sectional study.Internal consistency was assessed using Cronbach's alpha and confirmatory factor analysis in a sample of 738 Portuguese nurses enrolled in the Ordem dos Enfermeiros.Results: The average age was 37.57 years, 76.0% of which were women.After the refinement of the questionnaire, the confirmatory factor analysis showed an acceptable quality of adjustment of the factor structure composed of 9 factors with 44 items (x 2 /gl = 2.042; CFI = 0.846; GFI = 0.826; RMSEA = 0.053; RMR = 0.069).The overall internal consistency was  = 0.930, showing high reliability, explaining 56.739% of total variance. Conclusion:The questionnaire is reliable and valid, revealing the potential for investigation, monitoring and evaluation of nurses' knowledge in a training context and clinical practice.
Learning Active Learning at the Crossroads? Evaluation and Discussion.

Active aims to reduce annotation cost by predicting which samples are useful for a human expert to label. Although this field is quite old, several important challenges to using active in real-world settings still remain unsolved. In particular, most selection strategies are hand-designed, and it has become clear that there is no best active strategy that consistently outperforms all others in all applications. This has motivated research into meta-learning algorithms for learning how to actively learn. In this paper, we compare this kind of approach with the association of a Random Forest with the margin sampling strategy, reported in recent comparative studies as a very competitive heuristic. To this end, we present the results of a benchmark performed on 20 datasets that compares a strategy learned using a recent meta-learning algorithm with margin sampling. We also present some lessons learned and open future perspectives.
Italian lesson group classes - Level A1.4%%sep%% %%sitename%%

Group Classes - Level A1.4 Beginner You have never studied Italian or you know the basics up to the Present Tense. We will be teaching you how to communicate and exchange information in a simple way.
Dijkstra Monads Forever

This paper extends the Dijkstra monad framework, designed to write specifcations over effectful programs using monadic effects, to handle termination sensitive specifications over interactive programs. We achieve this by introducing base specification monads for non-terminating programs with uninterpreted events. We model such programs using Interaction Trees, a coinductive model for modelling programs with algebraic effects in Coq, which we further develop by adding trace semantics to achieve our goals. We also show that this approach subsumes typical, simple proof principles. We implement the framework as an extension of the Interaction Trees Coq library.
A Lightweight Security Authentication Method for the Charging Protocol of Smart Charging Pile

Charging protocol is the communication protocol between the charging pile and the electric vehicle during charging process, which safety is very important. However, due to the lack of security assurance mechanism, the charging protocol is vulnerable to malicious attacks such as forgery attack, man-in-the-middle attack, replay attack, etc. These malicious attacks may end up with denial of service, system halt of the smart charging pile, and lead to other security problems such as power theft. The issues mentioned above would cause serious damages to the charging facilities. In this paper, a lightweight security authentication method is proposed to solve the security problems existing in the charging protocol of the smart charging pile. During the handshake phase of charging, an exchanged strategy for shared seed based on ECDH is designed to make the charging pile and BMS(Battery Management System) of the electric vehicle get the same shared seed. To protect the sensitive messages at different phases such as charging parameter configuration, charging, and the end of charging, we have designed a lightweight scheme for generating the MAC (Message Authentication Code) and proposed a verification mechanism for multi-frame data message. A simulated communication environment for the charging pile and BMS of the electric vehicle is established and the scheme is proved to be effective according to the experimental results. The experimental results show that the scheme can help the charging pile defend against forgery attack, man-in-the-middle attack, replay attack, etc., and maintaining good system performance.
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing

This paper introduces the first corpus for Automatic Post-Editing of English and a low-resource language, Brazilian Portuguese. The source English texts were extracted from the WebNLG corpus and automatically translated into Portuguese using a state-of-the-art industrial neural machine translator. Post-edits were then obtained in an experiment with native speakers of Brazilian Portuguese. To assess the quality of the corpus, we performed error analysis and computed complexity indicators measuring how difficult the APE task would be. We report preliminary results of Phrase-Based and Neural Machine Translation Models on this new corpus. Data and code publicly available in our repository.
Development of Platformer Endless Running Game “Endless Jetride” on Android

Abstract In this game player act as an astronout who has to run as far as possible and avoid monsters. This game is developed for Android based smartphone. This game was made using the Unity game engine with C# as the programming language. This game is endless with increasing difficulty as the player run further. The goal is to get the highest score as possible. Players must avoid obstacles by jumping. The player must use his or her voice to control the character. Testing is done by the blackbox method, alpha testing, and beta testing. The test results showing that “Endless Jetride” is a game that is not too hard and fun with interesting controls. Some players feel interested in playing, but there are deficiencies on the other hand, namely the lack of variations in object challenges, a pretty difficult obstacles for players who are not used to it.
Analysis of Basketball Shooting Technique and Teaching Strategy

in the official competition, the level of shooting skills of basketball players directly determines the outcome of the competition. It can be said that shooting is the most core content in the basketball technical system. This paper first analyzes the technical movements of basketball shooting, and then expounds the teaching strategies of basketball shooting technical movements. The research shows that the coach should first do a good job in theoretical explanation, so that athletes can master the principles of shooting techniques, and then use a variety of teaching methods to improve the enthusiasm and initiative of athletes to learn, and then to combine physical fitness training with shooting technical action training. In addition, the college should give full play to the auxiliary role of modern science and technology and improve the training quality of basketball shooting skills.
Security Standard Compliance in System of Systems

The world we live in is becoming digitalized by transforming our society and economyin an unpredicted way. Digital technologies are transforming products, manufacturingassets, and entire supply cha ...
EVALUASI TATA KELOLA TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 4.1 DOMAIN DS ME DI DINAS PEKERJAAN UMUM PROVINSI GORONTALO

Abstract The Public Works Service of Gorontalo Province still confronts a problem, i.e., unavailability of the evaluation of maturity level measurement of information technology performance. Thus, its loss towards the development of information technology information in the aforementioned provincial service will be slow. This present study aimed to find out the maturity level of information technology performance and to provide a recommendation in terms of performance betterment to improve information technology performance in the Public Works Service of Gorontalo Province. Cobit 4.1 Framework was used on account of its function as a supporting tool featuring the most appropriate scope of discussion from the aspect of research needs. One of which was to measure the performance of service delivery to be more beneficial in information technology management by applying DS (Delivery and Support) and ME (Monitoring Evaluation) domains. It was indicated that the performance maturity level in the site area had not arrived at the expected value. For such reasons, it was expected that the evaluation of information technology performance measurement could serve as the source of information. This research suggested the provincial service to enhance its information technology performance. Keyword s : Governance Evalution; Information Technology Performance; Cobit 4.1 Framework; DS and ME Domains.
Bruteforce In The Hydra Process And Telnet Service Using The Naïve Bayes Method: Bruteforce In The Hydra Process And Telnet Service Using The Naïve Bayes Method

Internet technology is increasingly developing, in accordance with the needs of an increasingly millennial society. The growth of internet technology has been accompanied by an increasing variety of attack techniques aimed at the media. BruteForce is one of the techniques of attack (hacking) against the internet network by hacking passwords from users who are active or inactive at that time. Through a process with a small application such as Hydra accompanied by telnet service, then hacking techniques with BruteForce can be run, to attack an internet network. The Hydra process and the telnet service referred to in the study are those that included a wordlist file containing user information and password data. The count to detect, whether entering the network is a BruteForce attack or just normal / normal network traffic, can be done with the Naive Bayes theorem or the Naive Bayes method. The purpose of the Naive Bayes method, is to be able to distinguish and classify, which is attack traffic, which is normal / normal network traffic. The reason for using the Naive Bayes method is that the formulation in this method is easier to calculate when classifying the type of network traffic. From the results of the classification, it can be used as a reference for a network administrator to be more careful and better understand how to protect and prevent attacks from hackers, especially those who use BruteForce hacking techniques. The hope of this research, can be understood and understood so that it can be very easy for a network administrator to distinguish between the two traffic on the network, whether it is attack traffic and / or normal / normal traffic that is through the display on the Wireshark tool.
Transformer-based Double-token Bidirectional Autoregressive Decoding in Neural Machine Translation.

This paper presents a simple method that extends a standard Transformer-based autoregressive decoder, to speed up decoding. The proposed method generates a token from the head and tail of a sentence (two tokens in total) in each step. By simultaneously generating multiple tokens that rarely depend on each other, the decoding speed is increased while the degradation in translation quality is minimized. In our experiments, the proposed method increased the translation speed by around 113%-155% in comparison with a standard autoregressive decoder, while degrading the BLEU scores by no more than 1.03. It was faster than an iterative non-autoregressive decoder in many conditions.