Reviewerly/exHarmony huggingface dataset:
Формирование статистической базы для определения начальных параметров игрового моделирования английского аукциона

The main formats of auctions are given, the main parameters necessary for simulation are given, a statistical base of the results of the auction held, the primary clustering of the statistical base is carried out
From seed to tree. Leveraging collective expertise to create resources on RDM. : OpenAIRE Task Force RDM

OpenAIRE RDM Task Force 2018 - 2021: a collaborative approach. The OpenAIRE National Open Access Desks (NOADs) have a diverse background. Their original mission has shifted from not only supporting open access but also to assisting in good practice in research data management (RDM) within libraries and institutions. Drawing upon a considerable wealth of expertise in RDM, the NOADs saw a need to build capacity in order to fulfil a national role in this field. Additionally, it was apparent that there was a lack of materials on RDM that one could use nationally to help implement RDM or raise awareness around this topic. To fill these gaps the RDM task force (TF) was created in 2018, led by DANS (Data Archiving and Networked Services) and the DCC (Digital Curation Centre), and which consisted of about 30 members. The TF was coordinated through regular meetings and defined work plans. Based on identified gaps in knowledge in the research community and the data lifecycle, work was prioritised and worked on collaboratively, and the TF was subdivided into various working groups each with concrete tasks creating new resources. There was a strong focus on mixing knowledge and skill levels and keeping a low entry-level so that everyone could join a working group and work collaboratively on new resources. Regular calls for reporting progress were organised. What new resources were created? Various online materials such as guides and infographics, but also webinars and blogs. The main gaps that have been filled are around the following topics: a) handling various types of research data, including sensitive dataLever b) finding trustworthy repositories c) examples of institutional RDM support d) examples of research data reuse e) examples of data management plans Our poster will visualise the community driven and collaborative way the work was organised, highlighting a few of the resources developed and showing the impact the materials have had.
The Role of Adjacency Pairs to Create Politeness Strategies in Students’ Phatic Utterances

Adjacency pair is one of the language features to make utterances more polite as it creates turn-taking, which means that none of participant dominates. Adjacency pairs also create functions of phatic communication as stated by Padilla Cruz(2005). According to Levinson (1983), there are nine patterns of adjacency pairs, and most could be found in utterances. The data were taken from 24 students’ phatic utterances, and they were chosen because all participants are classmates. Covid-19 pandemic has forced them not to meet each other for almost 2 semesters, yet they show their closeness and solidarity. After all the data were analyzed using the qualitative method, it can be concluded that there are 7 adjacency pairs: Question-Answer, Offer-Accept, Taking leave-Taking leave, Summons-Answer, Request for information-Grant, Request-Apology, and Greeting-Greeting, and most of them have phatic functions of communication. By using adjacency pairs, it employs politeness strategies, negative and positive politeness strategies from Brown & Levinson (1987). Negative politeness strategies found are: Be conventionally indirect, Question, hedge and Quality-hedges, while positive politeness strategies found are: Offer, promise, Include both S and H in the activity, and Give gifts to H. One of adjacency- pairs, and phatic utterances’ functions is to maintain politeness though the students are classmates with close social distance and equal power, they perform politeness strategies to keep their social relations. The appearance of politeness strategies shows that no matter how informal utterances are, closeness and politeness must stay together. Keywords : adjacency-pairs, phatic utterances, politeness, strategies
Low-Complexity Image Compression Scheme Using Discrete Tchebichef Transformation

In recent times, the advancements in the field of effective image compression lead to the development of potential applications. The goal is to reduce the memory requirements, increasing speed and space domain processes. Since transmission of images having suitable computational resources, different image compression techniques have been proposed in this paper. The existing image compression techniques are not committing the space domain process capabilities. In this article, we propose a new high energy compaction and low-complexity image compression scheme using Discrete Tchebichef Transformation (DTT) algorithm. The DTT algorithm performs the space reduction operation. The proposed DTT algorithm increases the compression performance and decreases the energy utilization. Comparing the performance of Discrete Cosine Transform (DCT), based on transformation techniques with the proposed DTT, it has been proved that the DTT is the optimal image compression technique.
The Quality of Film Images in Digital Transfer

Abstract: The Quality of Film Images in Digital TransferNowadays, our films are presented digitally in the cinema, and this also applies to the many productions that we originally shot on film stock. They have to be digitized for projection, and special care is needed to transfer and preserve the specific qualities of the film image in digital transfer. For the film material, especially the negatives, which have been further developed over the last 20 years, embody the experience of more than 50 years in the design of colours and the differentiated reproduction of light gradations; they were abandoned by the film industry without necessity and are often still superior to digital cinematography, especially in borderline areas. In addition to the colour design that film emulsions allow, I count their special behavior in the uppermost lights and, often less noticed, in the deepest shadows. The sag in the lowest part of the gamma curve of film stocks offered cameramen important possibilities for shaping the moods of the night and the visual impression of the limits of seeing in the dark.On the occasion of the digitization of a documentary film made 25 years ago for new cinema screenings, certain limits of digitization became apparent, primarily because of the black-and-white photography of the film, its specific reversal technique and its specific shooting locations. I would like to present the details of these limits in the following essay. This work became particularly interesting for me because I was provided with a method for the qualitative expansion of the scanning process, which was newly developed by the Academy of Motion Pictures and Science within the framework of the ACES project, and I was therefore able to make the experiences described here.In letterpress printing, certain fine differences in the screenshots shown may not be fully visible; I have therefore added the corresponding oscillograms of the waveform monitor to the individual images, which visibly document the differences.
Kombinasi Zachman Framework dan Strategic Planning Information System versi John Ward dan Joe Peppard dalam Perancangan Blueprint IT FTI USN Kolaka

This study focuses on designing IT blueprints for the Information Technology Faculty of USN Kolaka by combining the Zachman framework and the Strategic Planning Information System to produce an objective requirements plan. The results of this study suggest that there are at least 11 potential applications, including one strategic application, namely the e-quality assurance application, there are five high priority applications, namely e-monev, e-publication, e-ledger, e-procurement, e-certification, there are also four an application that determines the success of public service operational activities such as e-learning, e-library, e-journal, e-alumni, and then an application that supports public service activities, namely an e-mail application that functions for recording incoming and outgoing letters electronically. Thus, this IT blueprint can be a reference for technology developers in mapping the priorities of FTI USN Kolaka services in the future.
Fault Localization With Data Flow Information and an Artificial Neural Network

Fault localization is a technique for identifying the exact source code line with faults. It typically requires a lot of time and cost because, to locate the fault, a developer must track the execution of the failed program line by line. To reduce the fault localization efforts, many methods have been proposed. However, their localized suspicious code range is wide, and their fault localization effect is not high. To cope with this limitation, this paper computes the degree of fault suspiciousness of statements by using an artificial neural network and information of the executed test case, such as statement coverage, execution result, and definition-use pair. Compared to the approach that uses only statement coverage as input data for training an artificial neural network, the experiment results show higher accuracy in 15 types of faults out of 29 real fault types in the approach that the definition-use pair included.
MENGANALISIS NILAI-NILAI EDUKASI DALAM NOVEL “MENTARI IMPIAN” KARYA ICHEN ZR

This article aims to analyze the educational values contained in the novel entitled Mentari Impian by Ichen ZR. The method used in this article is descriptive qualitative by describing the value of education and analyzing the educational value in the novel. The expected results from this article we can know and understand the educational values reflected in the behavior of the characters in the novel. The novel Mentari Impian has an educational value, namely the unrelenting fighting spirit of one of the characters from the novel who has a very high dream, namely wanting to become a famous writer like his idol even though there are many obstacles that hit him but the character continues to struggle to achieve his dream so that he can be used as a role model or motivation for the audience. Ichen ZR's novel Mentari Impian was chosen because it has several advantages, both in terms of content and language. Also, the novel Mentari Impian by Ichen ZR has many benefits, namely motivating and inspiring readers to keep trying to achieve their dreams.
NP2021_Linked Data, Contextualisation and Connections

Slides from “Linked data and the future of information sharing Description: Research data are valuable contributions to the scientific record along with papers, software, methods, and more. Understanding their connections to the progress of science is important as we continue to address the complexities of our world. Journals that cite data, include ORCIDs for authors, and connect to funding identifiers, help to build the links we need to discover how our work is connected with others in new ways. Our two expert speakers will share their views on the current state of data as a linked research output, how it continues to be recognized for its value in the scientific community, what the future brings, and what is still needed to get us there.
RANCANG BANGUN SOLAR TRACKER DUA AXIS MENGGUNAKAN PENGGERAK AIR

Indonesia as a tropical country has the potential to develop and utilize solar energy as one of the many solar energy conversion systems, this solar energy conversion system can be applied to overcome the depletion of existing conventional fuel reserves. The main objective of this final project is to determine the effect of solar tracker angle on solar panel power on 1 axis and 2 axis solar tracker. The angle of the solar tracker affects the performance of the solar panel, namely the closer it is perpendicular to the arrival of the solar light, the greater the voltage and current. Solar cells that use a tracker are able to absorb solar energy more optimally than those without a tracker. The power absorbed by the 2 axis solar tracker is very large, so this tool has a greater power efficiency than previous technologies.
Implementasi Metode Prototype Pada Sistem Peminjaman Alat Kerja Berbasis Web Di PT SK Metalindo

Method implementation in web-based work tools loan application development is important in assessing the success of the application whether it is running according to plan and has met user requirement. This research will provide an overview of the prototype method in web-based work tools loan application development. The prototype is made with the aim of providing a common perception and initial comprehension from the system will be developed, so that there will be good communication between developer with users. The application to be made web-based with using Laravel framework. The use of Laravel is expected to make it easier to create web-based work tools loan application, so that quality improvement and work tools management be better.
Satisfiability Checking of Strategy Logic with Simple Goals

In this paper, we introduce a new method of the satisfiability (SAT) checking for Simple-Goal Strategy Logic (SL[SG]), using symbolic Boolean model encoding and the SAT Modulo Monotonic Theories techniques, which was implemented into the tool SGSAT. To the best of our knowledge, this is the only tool solving the SAT problem for SL[SG]. Its applications include process synthesis, developing controllers as well as automatic planners in multi-agent scenarios.
Optimizing Node Centrality by Using Machine Learning

Data is usually described by a large number of features. Many of these features may be unrelated and redundant for desired data mining application. The presence of many of these unrelated and redundant features in a dataset negatively affects the performance of the machine learning algorithm and also increases the computational complexity. Therefore, reducing the dimension of a dataset is a fundamental task in data mining and machine learning applications. The main objective of this study is to combine the node centrality criterion and differential evolution algorithm to increase the accuracy of feature selection. The proposed method as well as the performance dataset preparation of the proposed method was compared with the most recent and well-known feature selection methods. Different criteria such as classification accuracy, number of selected features, as well as implementation time were used to compare different methods. The comparison results of the different methods were presented in various forms and tables and the results were completely analyzed. From the statistical point of view and using different statistical tests like Friedman different methods were compared with each other. The results showed that the selected evolutionary differential algorithm for clustering, instead of finding all the elements of the cluster centers present in the data set, found only a limited number of DCT coefficients of these centers and then by using the same limited coefficients, cluster centers reconstructed.
The Effectiveness of Employing a Teaching Strategy Based on Mock System Diagrams in Achieving Social studies for Second-grade Students and Their Orientation towards Them

The research aims at knowing the effectiveness of employing the schemes of the photographic systems in achieving the subjects of social subjects in the second grade students and their attitudes towards them. There are no statistically significant differences at the level (0.05) between the average scores of the experimental group students who are studying social studies according to the manuscript schemes. The sample and the average score of control group students studying the same subject in the traditional way to measure the trend towards the material, the sample reached (60) students, the researchers used the experimental research methodology .
Fuzzy Logic Control Automation for Traffic Signalization System

Automation systems are important structure that provides needs in many sectors such as manufacturing, construction, electricity, recycling, energy, electronics and informatics.Recently the automation systems have become larger and more complex.Situations that are completely specific and certain can be easy to resolve.However, the solution of problems that contain uncertainty and can't be fully defined is relatively difficult.Therefore, conventional logic is not sufficient because of its strictly defined boundaries.Fuzzy Logic Control is provided by executing the control algorithm in many areas at industrial automation.In this paper, we developed the Fuzzy Logic Control algorithm for a low-level PLC without Fuzzy Logic Control Module.Then, we realized PLC based fuzzy logic control for intersection traffic signaling control.
Reducing System Load of Effective Video Using a Network Model

Recently, as non-face-to-face work has become more common, the development of streaming services has become a significant issue. As these services are applied in increasingly diverse fields, various problems are caused by the overloading of systems when users try to transmit high-quality images. In this paper, SRGAN (Super Resolution Generative Adversarial Network) and DAIN (Depth-Aware Video Frame Interpolation) deep learning were used to reduce the overload that occurs during real-time video transmission. Images were divided into a FoV (Field of view) region and a non-FoV (Non-Field of view) region, and SRGAN was applied to the former, DAIN to the latter. Through this process, image quality was improved and system load was reduced.
디지털 치의학과 치과용 디지털 장비에 대한 치과 분야 종사자들의 인식 조사

The purpose of this survey was to assess the perceptions of dental personnel concerning digital dentistry and dental digital equipment. The survey was conducted from July to August 2019 in Busan and Gyeongnam area. Three sets of questionnaires were designed to target dental professionals and staff, dental industry personnel, and dental students. The questionnaires were composed of best-choice questions, multiple-choice questions, and questions with the five-point Likert scale. Frequency analysis, descriptive statistics, and one-way ANOVA were used for data analysis. A total of 141 dental personnel participated in the survey: 92 dental professionals and staff, 29 dental industry personnel, and 20 dental students. The time saving was the most frequent response to the benefits of digital dentistry in all job categories. The main barrier to dental digital equipment introduction was the high cost. Although the evaluation of the economic efficiency of dental digital equipment was not positive, sixty-seven percent of dental professionals and staff having no digital equipment responded that they were considering purchasing dental digital equipment. They were most interested in intra-oral scanners. In conclusion, dental personnel were positively aware of the utility of dental digital equipment and interested in introducing new equipment. However, high initial costs and uncertain economic efficiency were found to be the main barriers to using dental digital equipment.
Massive High-Dimensional Big Data Feature Selection Algorithm in a Cloud Computing Environment

Due to the large number of redundant features in the high-dimensional space, the distance between each sample point is almost equal in the whole feature space. Current algorithms cannot retain and utilize the key features of the original data to their maximum effect in order to get a higher classification prediction result. A high-dimensional and big data feature selection algorithm based on PageRank is proposed. According to the set of information entropy threshold, a large number of high-dimension and big data are screened in the cloud computing environment, the attributes of the almost useless raw data information are discarded, and the dimensionality reduction processing is completed. On the basis of dimensionalityreduction processing, the sample is determined. Each data feature in the sample is regarded as a network node, and the edge of the node is created according to the mutual information. The PageRank algorithm is used to evaluate the global redundancy of the network nodes, and the nodes are sorted according to the evaluation criteria, where the first g features of the sequence are the optimal feature subset. The experimental results show that the proposed method can not only get a good visual division result, but can also reach a higher accuracy of classification prediction.Keywords: Cloud Computing Environment; Massive; High-Dimensional; Big Data; Feature Selection.Cite AsX. Zheng, Massive High-Dimensional Big Data Feature Selection Algorithm in a Cloud Computing Environment, Engineering Intelligent Systems, vol. 29 no. 5, pp. 323-330, 2021.
Genesis of the Daping Gold Deposit in the Middle Xuefeng Mountain Area, Southern China: Constraints from Geochemistry, Fluid Inclusion, and H-O-S Isotope

The medium-sized Daping gold deposit is located in the middle Xuefeng Mountain area of Southern China with gold ores hosted in sericite phyllite, sericitolite, and mylonite. The auriferous quartz-carbonate-sulfide veins and adjacent alteration rocks are structurally controlled within the NE (northeast) shear zone with NE, NNE (north-east-east), and NW (northwest) trending at high inclination angles. The petrogeochemistry analysis results show that the gold ores are characterized by high content values of SiO2, S, and As and low content values of Al2O3 and Na2O and display strong enrichment of LREE with δEu values ranging from 0.54 to 0.75. Four stages of mineralization/alteration were identified: the first stage has mineral assemblages of quartz+pyrite+arsenopyrite±carbonate minerals, the second stage has mineral assemblages of quartz+polymetallic sulfide minerals (pyrite, arsenopyrite, chalcocite, galena, chalcopyrite, tetrahedrite)±chlorite±carbonate minerals, the third stage has mineral assemblages of quartz and carbonate minerals, and the supergene stage is characterized by limonite±patina which were formed by the oxidation of metal sulfides. Among them, the first stage and the second stage are the main gold mineralization stages. The ore-forming fluid inclusions in quartz are mainly composed of liquid phase (H2O) and gas phase (H2O and CO2), and based on the microthermometric analysis, the first metallogenic stage and second metallogenic stage yielded average homogenization temperature of 184.5 and 255.8°C and average salinity of 7.64 wt.% NaCl eqv. and 11.35 wt.% NaCl eqv., respectively. Thus, the ore-forming fluids belong to H2O-CO2-NaCl, medium-low temperature, and medium-low salinity fluid. The and values of auriferous quartz are from -51‰ to 62‰ and from -1.44‰ to 5.42‰, respectively, indicating that the ore-forming fluids may belong to mixing fluids of the magmatic fluid and meteoric hydrothermal fluid. The values of δ34S of metal sulfides range from -0.94‰ to 1.98‰ (-0.131‰ in average), implying that sulfur may source from the concealed granite and/or basement metamorphic strata. The Daping gold deposit formed in the Indosinian period under the tectonic environment of compression between the Cathaysian plate and Yangtze plate and may belong to orogenic gold deposits.