Reviewerly/exHarmony huggingface dataset:
Commentary

Unlike many of my other papers in which I analyzed the ways actions are performed, this paper was built around an identifiable formulation. While there is considerable appeal in collecting words, expressions, or formulations to see how they function and what actions they perform, there are, in my view, two significant problems in doing so. The first is that although there is surface similarity in the collection, the items may function very differently and should not be in one collection. Various instances put under the rubric of Extreme Case Formulations are integral parts of different actions. The second problem is related to the first. In studying interaction, we appreciate that fact that interactants perform specific actions, moment to moment, in the course of engaging in activities. When we consider the choices or selections that participants make, those choices generally are in terms of the various ways of performing, or not performing, a relevant action in that sequential environment. However, when we put together a collection of objects, such as Extreme Case Formulations, that service quite different actions and activities, we are focused away from the fact that the Extreme Case Formulations are but one way of working to accomplish the local action, with other ways as alternatives. Instead, papers that are built around a word or phrase or formulation usually are organized to reflect some number of ways that the term or expression or formulation is used....
Selection Of Informative Features using The Modified Version Of The Delta Method

Currently, the most common criteria for informative features are heuristic criteria related to assessing the separability of given classes and based on the compactness hypothesis fundamental in pattern recognition: with increasing distance between classes, their separability improves. “Good” are those signs that maximize this distance.Although heuristic criteria, although they are widely used in solving practical problems of classification, however, in theoretical terms they are little studied.
Analisis Kebutuhan Electronic Medical Record (EMR) Pasien Rawat Jalan Dewasa Menggunakan Metode UCD di RSCM

RSUPN Dr. Cipto Mangunkusumo is a government hospital in Central Jakarta, Indonesia. The hospital hasnot used an electronic medical record with a land area of 12,1409 hectares and is still using manualmedical records, causing the length of documents to be distributed to each unit that needs it. Besides thedistance traveled causes the loss of files in it. The target achievement of medical record response time isstill very far from what has been set, which is equal to 90% of medical records reaching poly at &lt;25minutes. Implementation of electronic medical records at RSUPN Dr. Cipto Mangunkusumo has not beenimplemented yet because the needs of the implementation of electronic medical records have not beenmet, so it is necessary to analyze the electronic medical records needs of adult outpatients. The researchmethod used is the user centered design method which is a design method that puts the user at the centerof a system design process. The process in the UCD method is to understand and determine the user'scontext, determine the needs of users and organizations, design solutions produced, and designevaluation of user needs. The results of the study are end-users of electronic medical records of adultoutpatients, namely doctors, nurses, medical recorders, and pharmacists. There are 3 needs for users andorganizations namely information needs, functional needs and non-functional needs. There are 13interface designs and interface design evaluation results, namely the design produced according to userneeds
The Influence Of PowerPoint-Based Use In Increasing Learning Attention Student On Class X SMAN 10 Padang

This research is based on the problems in SMAN 10 Padang, namely the low attention of students during the learning process takes place. One of the factors that influenced it was the use of cellphones during the learning process. Students tend to use mobile phones not only to find learning material, but also use it for personal purposes such as replying to messages or playing games. Submission of material by teachers tends to be less interesting and monotonous, to overcome students' lack of attention in learning using PowerPoint. The purpose of this study was to see the effect of using Powerpoint in increasing the learning attention of class X students at SMAN 10 Padang. This type of research is a quasi-experimental design with Randomized Control-Group Posttest Only Design. The population in this study were all tenth grade students of SMAN 10 Padang. The sample in this study were class X students of SMA N 10 Padang Academic Year 2018/2019 and the samples used were students of class X MIA 2 as a control class and X MIA 3 as an experimental class. The instrument used to assess students' attention is the student learning attention assessment sheet filled in by the observer. Based on the results of the study using the t-test it can be concluded that there is an influence of the use of PowerPoint in increasing student learning attention. It was proven that the average attention of the experimental class was higher than the control class.
Publishing Ethics &amp; Integrity

This article refers to:RETRACTED ARTICLE: Cloud enabled robust authenticated key agreement scheme for telecare medical information system
A Study of Bitcoin and Blockchain

Blockchain technology is a distributed database and a public ledger. It records every transaction that has been made from its inception. Once entered, these records cannot be modified or erased. The technology utilizes various algorithms of a cryptographic nature to reach a consensus. These cryptograhic functions also ensure the integrity and authenticity of data that has been interchanged across the network. Because of these features, blockchain technology has been implemented into various financial and non-financial fields. In this thesis, we introduce the mathematical foundations of Bitcoin, and different cryptographic functions that are used in Blockchain, especially elliptic curve multiplication. We construct two MATLAB models to study the fork events which is the one of typical consensus problems in the system. Moreover, we use graph theory and MATLAB models to represent and describe the Bitcoin protocols.
Reviewer comments &amp;quot;Fault slip envelope: A new parametric investigation tool for fault slip based on geomechanics and 3D fault geometry”

Fault slip envelope: A new parametric investigation tool for fault slip based on geomechanics and 3D fault geometry" presents a novel approach to explore parameter space and determine conditions under which a fault or fault system of arbitrary complexity is stable or prone to slip.The method assumes the fault system geometry to be known but accounts for large uncertainties in parameters such as rock properties and subsurface stress state.The authors present a novel method for visualizing the space in which the fault system is stable or not.The underlying scientific foundation is sound, as is the application to the Olkiluoto fault system; however, it is my opinion that the
Dynamic of Banking Sector in Benin: Do More Competition Imply More Efficiency?

This paper examines the dynamics of the financial system including banks and Decentralized Financial Systems (DFS) in Benin.While the reforms have produced the expected effect in terms of financial depth, compared to other developing countries, financial deepening is still weak -despite a remarkable contribution of DFS -with respect to the economy's mediumand long-term production or growth objectives.The result is an expansion of financial dualism with the financial micro intermediationdevelopment. Is the consequent financial architecture efficient in providing appropriate solutions to the economy's financing constraints?Concentration and competition are evaluated according to different indicators: the market shares of the first banks, the Lerner index and the H-statistics indicate a concentration structure with a low level of competition.If this has improved since 2010, they call for an analysis of the efficiency of the banking market in Benin.We apply then the Panzar and Rosse methodologyto account for technical inefficiencies in the banking system as a whole.The results confirm the absence of an explicit relationship between competition and efficiency; they also recommend a better organization of the Benin's financial system to meet the requirements of financial stability, economy financing, and financial inclusion.
Deep Recurrent Network Based Feature Selection using Single Matrix Normalization and Eigen Vectors for Analyzing Sentiments

Sentiment analysis plays a major role in e-commerce and social media these days. Due to the increasing growth of social media, a huge number of peoples and users send their reviews through the Internet and several other sources. Analyzing this data is challenging in today's life. In this paper new normalization based feature selection method is proposed and the topic of interest here is to select the relevant features and perform the classification of the data and find the accuracy. Stability of the data is considered as the most important challenge in analyzing the sentiments. In this paper investigating the sentiments and selecting the relevant features from the data set places a major role. The aim is to work with the vector-based feature selection and check the classification performance using recurrent networks. In this paper, text mining depends on feature retrieval methods to improve accuracy and propose a single matrix normalization method to reduce the dimensions. The proposed method performs data preprocessing or sentiment classification and features reduction to improve accuracy. The proposed method achieves better accuracy than the N-gram feature selection method. The experimental results show that the proposed method has better accuracy than other traditional feature selection approaches and that the proposed method can decrease the implementation time.
Peran Guru Menciptakan Disiplin Kelas Terhadap Peningkatan Prestasi Belajar Siswa MI Muhammadiyah 11 Blimbing Paciran Lamongan

Abstract: The research focus discussed in this thesis is (1) How is the role of&#x0D; teacher in creating classroom discipline in MI Muhammadiyah 11 Blimbing&#x0D; Paciran Lamongan, (2) How is student achievement in MI Muhammadiyah 11&#x0D; Blimbing Paciran Lamongan, (3) Is there any correlation between role teachers&#x0D; in creating classroom discipline with student achievement in MI Muhammadiyah&#x0D; 11 Blimbing Paciran Lamongan. This research uses the following methods:&#x0D; population, sample, data source, data collection method and also data analysis&#x0D; technique. In this research, it can be concluded that there are four roles that must&#x0D; be done by a teacher in creating classroom discipline, that is teacher as first&#x0D; implementer of discipline, teacher as student director in carrying out all school&#x0D; rules, teacher as supervisor in implementing all school rules and teacher giving&#x0D; gifts and punishments to the students. Student achievement of MI Muhammadiyah&#x0D; 11 Blimbing Paciran Lamongan in academic year 2014/2015 shows enough&#x0D; value.&#x0D; There is a correlation between the role of teachers in creating classroom&#x0D; discipline to improve student achievement in MI Muhammadiyah 11 TPAY&#x0D; Blimbing Paciran Lamongan and the correlation shown is quite correlation with&#x0D; score value of 0.698.
IMPLEMENTASI PEMBELAJARAN DISCOVERY LEARNING BERBANTUAN QR-CODE UNTUK MENINGKATKAN KETERAMPILAN PROSES SAINS

: 21st-century learning does not only emphasize learning on cognitive aspects. Learners need to get other skills. skills that can be developed for the 21st century are science process skills, therefore this study aims to improve the science process skills of students. This research was carried out in 1 Punggur Public High School, with the number of studies being students of class XI IPA 1 in SMA 1 Punggur. This research was conducted with classroom action research methods with a total of 6 learning sessions and 2 meetings for tests. The results showed that discovery learning can improve students' science process skills, with details as follows: 1) observation increased by 14.14%, 2) communication increased by 21.21%, 3) classification increased by 10.11% and concluded as 29.3%. Kata Kunci: discovery learning, QR Code, dan Keterampilan Proses Sains
Application Development for Education on Scientific Experiments in Virtual Reality

Since the late 1980s, we have begun to hear the word “disinterest in science”. On the other hand, recently, virtual reality (VR) technology that creates artificial environment by computer has been considerably developed. The VR is currently being utilized in various fields such as scientific visualization, medical care, education, training, tourism, and entertainment. Further it is possible to obtain an ideal environment that is difficult to realize in real space, and it is easy to change natural constants. Accordingly, we developed a prototype VR system that anyone can easily perform scientific experiments such as physics and chemistry with simple operation. In this way, this system makes it possible to perform free simulations by setting the ideal environment without the need for preparation and tidying up. Further, considering the cost burden of the user, we suggested a new system on a platform which can be easily prepared by using a smartphone. Furthermore, in this paper, we conducted a questionnaire survey to confirm the effectiveness of this system.
An improved Frequent Pattern Mining in Sustainable Learning Practice using Generalized Association Rules

This research focuses on mining the frequent patterns occurred in the given Datasets by Generalization of Association Rules. Frequent pattern mining is a significant as well as interesting problem in the research filed of Data Mining. Building of frequent pattern tree (FP tree), frequent pattern growth (FP growth) and association rule generation are implemented to find the repeated patterns of data. FP tree Construction Algorithm is mainly used to compact a vast database into a extremely compressed, seems to very tiny data structure; hence eliminates the repeated scanning of database. The role of FP growth algorithm is to discover the frequent patterns with FP tree structure and construct the generalized association rules corresponding to the learning data. FP growth algorithm obtained best results as compared with conventional Apriori algorithm. This research provides some practical real time applications pertaining data mining techniques in the field of learning, education, marketing, finance and so on.
Channel Estimation and Signal Detection in OFDM Systems using Deep Learning

this article presents “channel estimation and signal detection in OFDM systems by using deep learning”. OFDM stands for “Orthogonal Frequency Division Multiplexing”. This paper exploits end to end handling of wireless OFDM channels by deep learning. It is different from the existing OFDM receivers as it estimates the channel state information (CSI) explicitly and then estimated CSI is used to recover the transmitted symbols, thee proposed approach of deep learning implicitly estimates CSI and the transmitted symbols are recovered directly. The online transmitted data is directly recovered by the offline training a deep learning model using simulation based channel statistics generated data for addressing channel distortion. The performance comparable to “minimum mean square error” (MSME) estimator with transmitted symbols is detected by using deep learning based channel distortion. Using fewer number of pilots, omitting cyclic prefix and in the existence of nonlinear clipping noise, the approach of deep learning is more robust as compared to traditional methods.
DESIGN AND DEVELOPMENT OF POPULATION SERVICE ADMINISTRATION SYSTEM WITH PIECES METHOD IN KEMIRI VILLAGE HEAD OFFICE BANTEN

The public service administration system at the government offices of the Kemiri village office in the Kemiri District currently does not have a computerized and integrated system. Because the system runs, residents who submit letters for administrative completeness, still use the Ms.Word / Ms.Excel application. of course has many weaknesses including human error, not neat in file storage, resulting in the lengthy process of searching and making a cover letter and required reports. The analytical method used in this study is to use PIECES (Performance, Informance, Economy, Control, Efficiency, Service) analysis, the design of the model uses UML (Unified Modeling Language). The results of this study are web-based letter information systems at the Office of the Village Chief of Kemiri that can accessed using a local computer browser. Thus the information letter needed by the Kemiri Village community and more effective and efficient in making the letter.
Association among Workplace Innovation, Employee Innovativeness and Job Performance: Empirical Validation in Context of Knowledge-Based Organizations

New technologies have changed the way we live, consume and meet people. The Industrial Internet is changing the way we work and manufacture as the Internet has changed our lives. The digital revolution is taking place. Many industries are undergoing rapid and dramatic changes, others are going to develop slowly and steadily. There is no return in any case. Clearly, success in the new industrial revolution needs our businesses to make use of the best technologies available. But the response is not software alone. They need to focus more on human factors. This is world's main resource and we are not making enough use of it. WPI is not only aimed at promoting creative skills, it also allows businesses to stay competitive and respond quicker and easier to changes. In reality many of the organizational interventions aimed at improving employee performance and engagement are actually against employee well-being needs and goals. Therefore, the purpose of this research was to examine the nature, extent, the association and influencing factors of workplace innovation. The primary objective of this exploratory research is three-fold. First, this study attempted to explore the factors, perceived by knowledge professionals to be critical to their innovativeness, job performance and engagement. Second, to provide knowledge based organizations with an integrated framework of workplace innovation based on both the empirical findings and building on existing research.
Semantic Network

Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analytics, Semantic web, and Data Mining. Knowledge represented in an effective way helps in easy traversal, searching, reasoning, prediction, and inference. There are number of approaches, algorithms, techniques, and models that have been proposed for the same. Every approach has their own pros and cons. Hence our aim is to propose a simple and extremely effective way to represent knowledge, which has a greater expressiveness compared to logic and reverberates within the methods of people process data. In this paper we address the implementation of semantics network with simple yet powerful method, which despite the vague nature of English language, proves to give accurate results. The patterns discovered in sentences are listed in a defined order throughout the paper. The usage of Natural Language Toolkit and Posing tagging simplifies the most crucial task of tagging a word with its part of speech.
Adoption of high frame rate live-action video content on social media platforms

New cinema technology has always been dictated by Hollywood studios and theater exhibitions. With emergence of video streaming technology and smart display availability to the mass population, cinema technology no longer needs to overcome the approval made by studios and exhibitors. High frame rate is an emerging technology that has the ability to enhance realism and temporal resolution in the production process. This technology is supported by various social video streaming platforms and allows users to experience high frame video. Though this technology is available and accessible, this project assesses the value and adoption of 60 frames per second video content versus the standard 24 frames per second.
Noise Removal of MRI Images with Different Similarities using Advance NLM Filtering

In modern world, medical imaging has versatile application worldwide. It is very popular in the field of research and innovation. Medical image processing include the study of internal body structure like organs, tissues, etc., which provides much clear information of inner body structure using the digitalized data of human organs and help doctors to detect disease. Magnetic Resonance Imaging (MRI) is most effective and safe method for internal structure diagnosis. MRI images are generally magnitude images and they are follows by Rician distribution. In last few decades, many denoising techniques have been proposed like wavelet based techniques, Maximum likelihood (ML), bilateral filtering etc. But all those algorithms have some shortcomings and limitations. The purpose of our study is to propose a simple but effective advance Non-Local Means filtering approach for MRI denoising. Different distance matrix calculations have been introduced like Euclidean distance, Minkowski distance, Manhattan distance etc. These all are tested and identified best similarity measurement which preserves the image edges information and other information more effectively. The analysis is done on both the quality and quantity basis such as Peak Signal to Noise Ratio (PSNR) which shows the efficiency of noise removal technique and Mean Square Error (MSE) which represents the average of difference between pixels value of original image and denoised images.
Organizational Culture and Organizational Commitment in Software Product Line Institutionalization: the Perspective of Organizational Change

This study aims to investigate what factors of organizational culture are associated with successful institutionalization of software product line and to explore if organizational commitment has a mediation effect on the relationship between these factors of organizational culture and software product line performance. To do this, this study collected data from 352 employees of a Korean company by survey method. Also, a structural equation modeling has been taken. As a result, as a result of the three organizational cultural types first proposed to take into account the features of the software engineer, result-oriented culture, open system culture, and employee-centered culture increase their commitment to the organization. Second, software engineers' emotional commitment to organizations improves SPL performance. Finally, software engineers' emotional, organizational commitments mediate the relationship between employee-centric culture and SPL performance. This study is the first one to show the organizational culture types associated with psychological contracts and to understand how these organizational cultural types affect software product line performance through organizational commitment. The results of this study provide conceptual insight to administrators who want to find organizational culture types without sacrificing software product line performance.
Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network

Medical imaging technology is becoming an important component of large numbers of applications such as diagnosis, treatment, survey and medical examination. Image restoration manages conveying back the bended image to its original domain. It re-establishes the corrupted image into keener image. This paper centers around evacuation of noise strategies in medical images with denoising a point by point overview has been completed on various image denoising methods and their exhibitions were evaluated and it is an activity to examine and evaluate various variations of denoising methods to enhance their execution and visual standard.