Reviewerly/exHarmony huggingface dataset:
PEMODELAN PREDIKSI KUAT TEKAN BETON UMUR MUDA MENGGUNAKAN H2O'S DEEP LEARNING

Artificial Neural Network (ANN) is a Machine Learning (ML) algorithm which learn by itself and organize its thinking to solve problems. Although the learning process involves many hidden layers (Deep Learning) this algorithm still has weaknesses when faced with high noise data. Concrete mixture design data has a high enough noise caused by many unidentified / measurable aspects such as planning, design, manufacture of test specimens, maintenance, testing, diversity of physical and chemical properties, mixed formulas, mixed design errors, environmental conditions, and testing process. Information needs about the compressive strength of early age concrete (under 28 days) are often needed while the construction process is still ongoing. ANN has been tried to predict the compressive strength of concrete, but the results are less than optimal. This study aims to improve the ANN prediction model using an H2O’s Deep Learning based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using backpropagation. The H2O’s Deep Learning best model is achieved by 2 hidden layers- 50 hidden neurons and ReLU activation function with a RMSE value of 6,801. This Machine Learning model can be used as an alternative/ substitute for conventional mix designs, which are environmentally friendly, economical, and accurate. Future work with regard to the concrete industry, this model can be applied to create an intelligent Batching and Mixing Plants.
The practice of using one-time passwords in modern corporate information systems

One-time password (OTP) systems, or one-time passwords, are an authentication method in which the user is provided with a password that is active only for one login session or transaction in an information system. Currently, the systems are not implemented in their pure form, but are one of the components in multi-factor authentication systems. Despite its widespread use in the financial sector, a one-time password does not guarantee secure login authentication.
Propose Image Analysis Tools to Improve Radiology Interpretation

There are many image analysis tools and enhancement techniques that can improve image interpretation. In ports around the world, customs agencies use many x-ray machines to scan cars, trucks, luggages, and containers [1] . Many of these systems use imaging adjustment techniques which are not being used in medical radiology departments. This paper is purpose using of these image adjustment tools in the radiology field which may help in improving image recognition. As well, this paper will explain in details the uses of these image adjustment tools and what they can be used for in radiology departments. This paper will take rapiscan systems as an example of the companies that produces x-ray machines that used by customs agencies to scan cars, trucks, luggages, containers, etc. The tools and techniques that will be discussed in this paper including the following; pseudo color, quick enhancement (Q), crystal clear (CC), atomic number (Z), invert option (INT), energy option (HI and LO), histogram option, edge enhancement (E and E 2 ), and enhancement tools (log 1, 2, 3, and 4).
Towards publishing soil and agricultural research data: the BonaRes DOI

&amp;lt;p&amp;gt;The German research initiative BonaRes (&amp;amp;#8220;Soil as a sustainable resource for the bioeconomy&amp;amp;#8221;, financed by the Federal Ministry of Education and Research, BMBF) was launched in 2015 with a duration of 9 years and perpetuation envisaged. BonaRes includes 10 collaborative soil research projects and, additionally, the BonaRes Centre.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Within the BonaRes Data Centre (important infrastructure in the planned NFDI4Agri), diverse research data with mostly agricultural and soil background are collected from BonaRes collaborative projects and external scientists. &amp;amp;#160;After a possible embargo expires, all data are made available in a standardized form for free reuse via the BonaRes Repository. Once the administrative and technical infrastructure has been established, the Data Centre provides services for scientists in all terms of data management. The focus here is on the publication of research data (e.g. long-term experiments, field trials, model results) to ensure availability and citeability and thus foster scientific reuse. Available data can be accessed via the BonaRes Repository. For instance: https://doi.org/10.20387/BonaRes-BSVY-R418.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Due to the high diversity of agricultural data provided via our repository, we have developed individually tailored strategies to make them citable for 1.) finalized data, 2.) regularly updating and 3.) data collections with related tables. The challenge is that the author's rights (license CC-BY) must be preserved and yet a user-friendly citation of even large amounts of data must be ensured. We will present our BonaRes DOI concept by means of use cases and will be looking forward to discuss it with the professional community.&amp;lt;/p&amp;gt;
Social system in the context of media typification of information

The article is devoted to the study of the mechanisms of transformation of modern society in the context of media domination and the reproduction of chronologically determined mythologies. The main current approaches to the analysis of mythologies are considered. The significance of the temporal organization of a social myth in social differentiation and dynamics is revealed.
Bespoke versus open architectures: The impact on cyber-resilience for mission-critical platforms

Open system architectures have been proposed as a key solution to addressing significant issues surrounding the acquisition of major military mission-critical platforms. This primarily refers to the extended timeframes associated with introducing advanced and complex systems to the war fighter at a rate commensurate with technological and threat advancement. The open architecture concept helps to address these issues but comes with considerations that influence the capacity for those systems to maintain cyber resilience. Generally, these considerations relate to the use of openly available interface standards, the capability for dynamic network management and, the ability for the platform to evolve in response to new and emerging cyber threats. By evaluating the relative advantages and disadvantages of bespoke and open architectures through the MITRE Cyber Resiliency Framework (2015), the impact of architecture choice on mission-critical platforms is discussed. The resulting recommendations focus on using a project's scope to indicate the most suited architecture and therefore leverage the relative benefits of each methodology.
Aspects of Performance Practice in Morton Feldman's Last Pieces

Morton Feldman’s Last Pieces for piano solo of 1959 poses an interesting interpretive problem for the performer. As in many Feldman compositions of the 1950s and 60s, the first movement of the work is notated as a series of "sound events" to be played by the performer choosing the durations for each event. The only tempo indications are "Slow. Soft. Durations are free." This situation is complicated by Feldman’s remark about a similar work from 1960, "[I chose] intervals that seemed to erase or cancel out each sound as soon as we hear the next." I interpret this intension to keep the piece fresh and appealing from sound to sound. So, how the pianist supposed to play Last Pieces in order to supplement the composers desire for a sound to "cancel out" preceding sounds? To answer this question, I propose a way of assessing the salience of each sound event in the first movement of Last Pieces, using various means of associating each of its 43 sound events according chord spacing, register, center pitch and bandwidth, pitch intervals, pitch-classes, set-class, and figured bass. From this data, one has an idea about how to perform the work to minimize similarity relations between adjacent pairs of sound events so that they can have the cancelling effect the composer desired. As a secondary result of this analysis, many cohesive compositional relations come to light even if the work was composed "intuitively".
ANALISIS WACANA KRITIS DALAM WACANA INTERAKSI KELAS

learning is said to be effective if there is active interaction between lecturers and students. one of the interactions that occur in learning is the existence of classroom interaction discourse, which is the level of the sequence of interactions between lecturers and students which is closely related to critical discourse analysis. the effectiveness of the discourse put forward by the lecturer to students really depends on the structure of the discourse presented. based on this, this research is important to do to find out the macro structure, super structure, and micro structure in the discourse of class interactions. the research method in this research is descriptive qualitative. the subject of this research is a speech between lecturers and first semester students of the accounting study program of feb unmas denpasar in indonesian language courses. data analysis in this study uses the milles model which includes three things: (1) data reduction, (2) data presentation, and (3) verification or conclusion. the results of this study indicate that the macro structure in the discourse of classroom interaction is related to the topics raised in the learning process. super structure analysis which consists of the opening part of the lesson, the content part which is the whole conversation in the learning process, and the closing is the conclusion or closing greeting during the lesson. the microstructure analysis of class interaction discourse in this study consists of semantics, syntax, stalastics and rhetoric.
Human Capital for Digital Education

This article is devoted to the role of information and communication technologies (ICT) in forming the human capital that meets the needs of modern world economies. The quality of employees’ education and the ability to use digital and information technologies are closely related to the digital competencies in the qualification requirements of educational employees. The creation of a “smart society” depends on the skills related to using digital ICT in the educational process. The study of the human capital development in education has been based on the indicators suggested by UNESCO in Guide to Measuring Information and Communication Technologies in Education. In order to compare countries with high, medium and low levels of using and mastering ICT, the Final Report Survey of Schools: ICT in Education and the OECD Statistical database have been used.
Comparative analysis of medical images watermarking methods

The article is devoted to the analysis of watermarking algorithms in terms of their use in marking medical images. The algorithms based on the Integer Wavelet Transform (IWT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) were compared. The algorithms were implemented using the combinations: IWT, IWT-DCT, and IWT-SVD. As part of the research, the level of disturbances caused by embedding the watermark was checked using subjective and objective methods. The attack resistance of the watermarked images was tested and the steganographic capacity was measured. All algorithms are based on IWT, however, each has different advantages. The algorithm based on the IWT showed the highest capacity. The most resistant to attacks is IWT-SVD, and the lowest level of interference was obtained for the IWT-DCT algorithm.
Using of digital technologies in educational activities

The article discusses the possibilities of using digital technologies in teaching students of the master's program in the direction of training 27.04.05. Innovation. The main point is the fact that the computer program "Calculation of indicators for assessing the level of innovation security in the region", used in the educational activities of the University, was developed as part of a student's thesis.
First Chair Chats: Reflections on a Virtual Pilot Collaboration

This review provides an inside perspective of a virtual event created as an expansion of digital library services during the COVID-19 pandemic. In May 2020, University of North Texas staff from the Music Library and External Relations Office hosted a live, virtual chat to discuss perspectives on music and copyright. Four guest presenters and audience members participated using the Zoom video conferencing platform. While the organizers considered the event a success, challenges and feedback along the way have informed plans for future chat events.
PERAN PROFESIONAL PUSTAKAWAN DALAM PENGELOLAAN PERPUSTAKAAN MASA PANDEMI CORONA VIRUS-19

This research discusses the role of librarians in managing libraries during the corona virus pandemic. The corona epidemic is an epidemic of globalization that cripples all access to services, including library services. Library services are a central aspect that will support the dissemination of the latest information related to the corona virus while maintaining the health and safety of readers through new innovations in the role of librarians in open access libraries. This research is a library research or library research that utilizes all journal literature related to librarian pran in developing pandemic service through online services and maximizing the librarian's function and role as an information management center. The results showed that many libraries have closed due to the epidemic, but many libraries have also opened online services so that online and offline visitor data is not too significant. It seems that the government provides more innovative means to support the innovative thinking of librarians in order to create online services that are more optimal, safe, healthy and environmentally friendly.
VIRTUAL CLASSROOM USED BY THE LECTURER IN TEACHING SPEAKING AT ISLAMIC UNIVERSITY OF KALIMANTAN MAB BANJARMASIN

Speaking is described as the interactive process of constructing meaning that involves producing, receiving and processing information. It is an important part of everyday interaction and most often the first impression of a person is based on his/her ability to speak fluently and comprehensively. Teaching becomes very hard professions in the world, especially teaching English in speaking skill. As teachers, have good sense in teaching and understand how to use technology in teaching will make themselves easier to help the indirect learning process through virtual. One of the technology can be used by the teacher as media to online learning process is virtual classroom. The subject of this research was the English teacher and the students at the fifth semester of English Education at Islamic University of Kalimantan MAB Banjarmasin. Here, using qualitative research design. Then to collect the data the researcher used interview guide. In analyzing the data the researcher applied steps of data analysis suggested by Sugiyono, at all. There are data reduction, data display, and conclusion drawing/verification. The result of analysis shows that the implementation of virtual classroom the teacher consider that media is an alternative that is easily to support the distance learning process through online or virtual. But in other cases in teaching speaking, the teacher cannot observe how the development of students' speaking skills directly because the learning process is carried out virtually.
Developing Islamic-Based Botanical Encyclopedia as a Learning Resource

Learning resources need to be developed based on current developments. The purpose of this research was to develop an Islamic-based Botanical Encyclopedia and test its quality. The method used to develop the encyclopedia was Research and Development (RD) with the 4D model (Design, Define, Develop, and Disseminate) proposed by Thiagarajan in 1974 as the development model. The research instrument had been validated by the material, media, and integration experts. The average percentage of the validation result was 88% (a very valid category). The small-scale trial obtained a percentage of 89% (very valid), and the large-scale trial obtained a percentage of 85% (very feasible category). The results indicated that the developed Islamic-based Botanical encyclopedia could be used as a resource for independent learning.
Version Detection for Software Discovery in the Cloud

With the growth in server traffic and component diversity in cloud systems, administrators face the increasingly onerous task of monitoring system activity. Failure to keep track of the contents of virtual servers can limit overall efficiency and create security risks for users. Prior work in software discovery attempted to address this problem by identifying applications based on file system activity. While some of these methods have claimed to be extensible to detection of specific versions of an application, version detection has yet to be demonstrated. In this paper, we propose version detection algorithms that operate on top of Praxi, an existing open-source software discovery tool. These algorithms introduce a rule-based component to differentiate between versions, whose file system footprints can appear very similar. We find that our best method achieves up to 99.9% accuracy in version detection experiments compared to Praxi's original 94% accuracy, albeit at the cost of increased runtime. This work confirms the feasibility of version detection in software discovery and provides a starting point for implementing this feature in software discovery tools.
THE IMPACT OF DIGITAL PHOTOGRAPHY PROCESSING IN MOBILE APPLICATIONS ON THE QUALITY OF REACH IN SOCIAL MEDIA

Modern technologies allow for quick processing of digital images. In the era of the Internet, there are many mobile applications supporting the digital processing of photos used on social media. The algorithms of many popular social networks focus on many factors, however, the photography that is placed on a given portal is of great importance. Social media allows you to reach many sources and people. With the help of a good photo, we can get high post reach that contain additional information. The use of mobile applications helps to achieve very good results. This paper presents the results obtained in the process of comparing posts using digital photo processing with those in which the photos were used without processing in a graphics program.
Penerapan Sistem Data Cleansing untuk Mencegah dan Menghilangkan Duplikasi Rekam Medis

Health Information System is a system that integrates the collection, processing, reporting of data, and use of information needed to increase the effectiveness and efficiency of health services through better management at all levels of health services. Kulon Progo Health Office is one of the Health Services that has utilized the Health Information System in organizing its health transactions. However, the implementation of the Health Information System still has shortcomings, namely that it was found that a patient has many medical record numbers or often referred to as duplicated medical record data. Community service activities are carried out through the use of appropriate technology at the Kulon Progo Health Office. This activity aims to implement data cleansing techniques using the "RESIK" framework to help prevent and detect duplication of medical records and provide training to medical recorders in cleaning data. The training was attended by 105 participants, each of whom was a representative of the Puskesmas staff in the Kulon Progo Health Office area. The “RESIK” framework was then piloted at Puskesmas Sentolo 2 as the location for the implementation of the system. From this activity, duplicate medical record data can be found at Puskesmas Sentolo 2, and then cleaning is carried out. Kulon Progo Health Office is advised to implement data cleansing using the "RESIK" framework at all Puskesmas in the Kulon Progo area.
Adaptive Mirror Descent Methods for Convex Programming Problems with delta-subgradients

We propose some adaptive mirror descent dethods for convex programming problems with delta-subgradients and prove some theoretical results.
Implementation of Basic Computer Vision Methods for Analyzing the Results of Biological Experiments

The article discusses the video processing methods necessary for the automation of processing the results of the experiments “Morris Water Maze”, “Open Field”, “Elevated Cross-shaped Maze”, which are used to study the behavior of laboratory mice depending on various external factors, as well as an experiment with daily tracking Rhesus macaque activity. To process the received information, the C++ programming language is used including the OpenCV 3.2 and Qt 5.2 libraries. Later in the paper new applications are discussed to further the research based on findings described here. For further use monkey observation is proposed. The choice was made based on similarity between discussed and proposed methods for video processing and automation of experiments. For reviewed methods their advantages and disadvantages are included in the work. For each of experiments “Morris Water Maze”, “Open Field”, “Elevated Crossshaped Maze” there is corresponding image sequence for anyone unfamiliar with the topic.
Analyzing and Implementing a System For Reporting, Follow Up and Resolving of Complaints

In every aspect of life either it is personal or professional we use internet. It makes life easier, and overcomes unsatisfactory and unacceptable services or issues on various fields. We can use online complaint management system which is considered as an essential part of quality services. Complaints and compliments are valuable sources of information that organizations can use it to improve program delivery and service. “A web system for reporting, follow-up and resolving of complaints” is a web application analyzed and developed for managing various complaints in any place such as universities, hospitals shopping centers, damaged roads, unwanted load Shedding or sewerage problem... etc. This work aims to make complaints easier to be reported, coordinated, monitored, tracked and resolved, and to provide governments with effective tool to keep records of complaint data, to use them for identifying problem areas and to improve services. The proposed work was designed and implemented using the Unified Modeling Language (UML), Microsoft Access 2010 and Visual Studio-ASP.NET programming language.
KEEFEKTIFAN PENDEKATAN BEHAVIOR MENGGUNAKAN TEKNIK TOKEN ECONOMY UNTUK MENINGKATKAN ATENSI BELAJAR SISWA KELAS VIII DI SMP N 29 SEMARANG

This study aims (1) to identify and analyze students' attentiveness levels of learning before getting a behavioral approach using token economy techniques, (2) identifying and analyzing learning attentions when getting behavioral approaches using token economy techniques, and (3) analyzing the effectiveness of behavior approaches using token economy techniques in increasing student attention in class VIII at SMP N 29 Semarang. This research is an experimental research with one group pretest-posttest design. Data collection techniques used were psychological scales with a learning attention instrument of 35 items. The population in this study were students of class VIII at SMP N 29 Semarang with a total sample of 5 students who were determined purposively. Data analysis techniques used (1) quantitative descriptive analysis to describe the level of student learning attention, (2) hypothesis testing with Wilcoxon analysis to determine the effect of the behavior approach using token economy techniques. The results showed that the behavioral approach using token economy techniques had an effect on increasing student attention