Reviewerly/exHarmony huggingface dataset:
The Translation Procedures on School Notices Board at SMAN 3 Kota Serang

Translation has an important role especially for people in Indonesia. This is owing to the fact that only little information is available in Bahasa Indonesia. That is, a great deal of information is mostly presented in foreign languages, particularly in English. In this reseach, the writer discusses about translation in school notices school and researchers concent this reseach in one of senior high school in Serang. At this time in various schools the rules for the use of school bulletin boards that are affixed to the walls of the school and the language used in English with varying words have meaning. School notice board is a surface intended for the posting of public messages, for example, to advertise items wanted or for sale, announce events, or provide information. Researchers found that is the existence of writing errors in writing and translating words and also sentences on the school bulletin board because on the basis of a lot of bulletin boards in schools that use English language. In this study the researchers wants to analyze of translation procedures school notices board in senior high school.
ANGGI DISTRICT CHANNEL PLANNING USING HEC-RAS MODELING

The development of population and settlements in Anggi District, Arfak Mountains Regency, West Papua Province, requires the construction of facilities and infrastructure that support in terms of flood prevention, such as in the Anggi District area. The risk of flooding that occurs in Arfak Mountains Regency can be reduced or minimized by carrying out preparedness and prevention of flood disasters. One of the measures taken is to know and know the areas that have the potential for flooding. Therefore, it is necessary to arrange the existing drainage network system and add new drainage networks and complementary buildings. Based on the results of the analysis carried out, the canal concept planned in the Anggi District is able to minimize the impact of flooding.
Determining low frequencies of the Japanese koto using a finite element model based on a computed tomography scan

The Japanese koto is a plucked 13-string wooden instrument noted for its complex resonances. A finite element model of the koto has been developed based on a computed tomography (CT) scan and has previously been reported. It can now be used as a tool to undertake more detailed examination of the koto's sound behavior. While first iterations of the model were found to predict frequencies above 100 Hz, predictions for frequencies below 100 Hz were less accurate. Physical studies however have shown many low frequencies do occur and are not artefacts. This paper discusses initial simulations with the model and more recent studies with Gaussian pulses that reveal low frequencies not previously obtained from the CT model. Their contribution to the characteristics of the sound behavior of the koto are discussed.
Quantum Key Recovery Attack of SIMON 32/64

The development of quantum computation is a threat to classical cryptosystems. Shor's algorithm can break the security of some public-key cryptosystems and Grover's algorithm can help gain quadratic speed-up in the cryptanalysis of block ciphers. There are two security models in quantum cryptanalysis against block ciphers, Q1 model and Q2 model. The lightweight block ciphers receive much attention in recent years. It's vital to study the quantum security of lightweight block ciphers in quantum setting to prepare for the future with large-scale quantum computers. There are some results focusing on the quantum circuit design of exhaustive search on some lightweight block ciphers. However, the quantum attacks combined with classical cryptanalysis methods on lightweight block ciphers haven't been studied further. In this paper, we focus on the quantum key recovery attack of SIMON 32/64. At first, we reestimate the quantum resources of quantum exhaustive search on SIMON 32/64. We find that the cost of multi controlled-NOT cannot be ignored. Then, using the differential trial given by Birykov in FSE 2014 as a distinguisher, we give our quantum key recovery attack of SIMON 32/64. We treat the two phrases of key recovery attack as two QAA instances separately. Then, we give quantum circuit design of these two instances and their corresponding quantum resources estimate. We conclude that our quantum key recovery attack is better than quantum exhaustive search in terms of quantum gate resources and qubit resources. Our result studies the quantum dedicated attack from the perspective of quantum resource, which gives a more fine-grained analysis.
A HYBRID APPROACH FOR TEXT SUMMARIZATION

In the era of information and communication technology, the data plays a vital role.The majority of these data can be reached online that empowers the one anytime and anywhere.The boundless access, cooperation and distribution of data have therefore uplifted the enduring of 'Data Glut'.This paper focuses on helping the clients with instructive requisite of data by avoiding its examining or surfing time.A system has been proposed that can provide data by making the assessing precise.Automatic text summarization is the way to consolidate any unique report into shorter format to make a littler or smaller form of it.Despite of the numerous systems proposed, there are no 'silver slugs' to accomplish the superlative outcomes as of human created outlines.Therefore, the necessity of advancement in the field of text summarization is well chief.The proposed system implements four different techniques of summarization in hybrid form.All the four methodologies are combined using a merge algorithm that summarizes all small and multi datasets.The method proposed produces a more effective and accurate text summarization when compared to the existing methods.
Tokenization of Assets Using Blockchain Technology

In the ongoing occasions, Blockchain Technology (BCT) has additionally gotten impressive consideration outside the monetary area. The idea of Blockchain is much past than Bitcoin and Cryptocurrencies. Investigating the odds inside the Blockchain universe, various uses of BCT in Tokenization of assets are frequently actualized. During this paper, we will join these two viewpoints on BCT in Tokenization of assets to sum up the present status of the transactions and the future scope of such transactions in the future. This paper means to examine the part of Blockchain in maintainable transactions of actual money liquified into tokens and distributed through a blockchain network.
One Model For Optimal Distribution Of Human Resources For Different Activities

In the present paper the human resources distribution problem for carrying various activities in a particularorganisation is examined. An economic-mathematical model is presented, which determines the optimal total productivity considering different individual productiveness of workers and employees during each particular activity. Different options for restrictions and constraints inthe number of human resources distributed for every activity are proposed, as well as forthe number of activities, which can be assigned to one worker or employee.
Life Experiences of Traumatics Post Amputation Clients: A Phenomenological Study

Traffic accidents are the biggest contributor to the death rate in the world. A direct accident can caused death, disability or damage to a limb that need amputation. Amputation is a life changing process. To determine the life experiences of post-amputation traumatic clients. It’s a qualitative research with descriptive phenomenology approach. The participant taken by using purposive sampling technique until find the data saturated. The data collected by indeepth interview method on 6 clients who underwent amputation at RSU Siaga Medika Banyumas. The analytical method used structured approach from Stevick-Collaizi and Keen. There are 3 themes found in this study : (1)The Impact of Amputation which is consists of 4 sub-themes: activity changes, physical changes, sexual patterns changes  and psychological changes, (2)Post Amputation Adaptation Process which is  consist of 2 sub themes: acceptance response, and adaptation process and (3)Post Amputation Support System which is consist of  2 sub themes: the role of main caregiver, and social environment support. There are significant psychological changes and an uneasy adaptation process in a traumatic post amputation client. Health services should be able to assess psychological conditions and adaptation processes experienced by individuals so that the treatment process runs holistically, including the bio-psycho-social-spiritual aspects.
Blockchain Technology Adoption in Digital Advertising: A Game-Theoretic Model

Recently, the disruptive impact of blockchain technology on the digital advertising industry has caught widespread attention. However, this issue has not been formally analyzed in the literature. In order to fill this important gap, we use a game-theoretic model to study whether and when digital advertisers should adopt blockchain technology in a competitive environment. We also analyze how the publisher should adapt his advertising slot assignment strategies accordingly. With blockchain technology, advertisers can avoid click fraud and work directly with publishers, while incurring certain blockchain-related costs; publishers can benefit from instant payment and no middleman, but in the meantime, lose potential revenue generated from click manipulation. We identify the existence conditions for all possible equilibria and find that the advertisers can benefit from adopting the blockchain channel under certain circumstances. Our result also shows that the adoption of blockchain may sometimes lead advertisers to fall into the prisoner’s dilemma. Furthermore, when one advertiser’s value per click increases, she may sometimes be better off deviating to the blockchain channel to get the higher slot (with more click traffic). Yet, the other advertiser can still be better off with her ad moving down to the lower slot (with less click traffic), potentially yielding a Pareto improvement outcome for both advertisers. Our result also shows that as the inter-slot differentiation increases, taking the higher slot may not always be the advertiser’s optimal decision. In addition, interestingly, we find that the publisher should assign the higher slot to the blockchain-based advertiser only when the delay in receiving the advertiser’s payment in the traditional channel is sufficiently higher than that in the blockchain channel. Our paper provides meaningful implications for publishers and advertisers regarding blockchain adoption in digital advertising. Moreover, our results send an important message to policymakers that the objectives of advertisers and publishers may sometimes be in conflict with each other, especially when the blockchain fee is relatively high.
Neural Networks Based Data Mining Techniques (Dept.E)

The rapid increase in web sites has created large volumes of data in web environment, which generates a problem of how to extract and gain useful knowledge from such data. Extracting such knowledge helps to discover, understand and predict user behaviors based on his interaction with the website. This paper introduces two neural network based systems, one for web visitor recognition according to their web logs pattern, and the other for web visitor classification according to the visited pages. This will introduce rapid services and save user time with web through a database connected to these neural networks Such system can be used to improve efficiency and effectiveness in searching for information on the web. Complete architecture of the networks is given based on supervised and unsupervised learning paradigms. Experiments have been carried out in order to validate this approach.
Release and Deployment management process for IT services

The main objective of this project is to come up with a Release and Deployment Management Process that can add value to customer products and enhance the operations.The scope of this paper is limited to the definition of different programs, Risk and Security, Team Establishment and Logistics, and Creation of the Build and Testing Documentation that are vital.Process integration in this Release and Deployment Management remains critical in understanding different activities that will enhance security.Release and Deployment Management is a factor of capacity management, problem management, availability management, service management, change management, and service desk.There are also life-cycle phases that are critical in the Release and Deployment Management including initiation, concept, analysis, design, build, test, deploy, closure, and benefits.
Embracing the Agile Mindset: Faculty Perspective

An agile mindset is about creating and responding to change in uncertain and turbulent environments.It's about thinking through how one can understand what's going on in the environment, identify what uncertainty one is facing and figure out how to adapt and go along.Embracing an agile mindset in Higher Education is not an easy task.Educational leaders are currently facing complexity and growing expectation.Academic heads must catch up with the growth of higher-order competences for an everincreasing diversity of learners.In order to survive in the volatile environment, Management Insti tutions must adopt and embrace innovative pedagogical methods and technologies and also have to balance divergent interests and pressures from employees, regulatory boards and other stakeholders.Challenged with these complexities, Management Education leaders need to be equipped with the capabilities to tolerate ambiguity, adaptively respond to change as it happens.In short, we need academic leaders to develop greater agility.
Influence of the distortion type on the image quality assessment when reducing its sizes

In this paper, the influence of various types of distortion of an image on its quality while reducing its sizes, is investigated. To assess the image quality, it is proposed to use the method of comparison with the standard using a previously developed measure based on the proximity of the values of the parameters of the Weibull distribution, which describes the gradient field of the image. The well-known TID2013 image database was used as the material, which includes 3000 images distorted by 24 types of distorting algorithms with five levels. Each image of the base was reduced by 2, 4 and 8 times by the two most common methods and compared with the original image-original. The calculations were performed for five types of distortions implemented in the database. To make a decision on the acceptability of the applied quality measure, the calculated measure values were compared with the subjective quality ratings provided along with the documentation on the TID2013 database. The comparison was carried out using Spearman’s correlation coefficient. It is shown that the average values of correlations for all images at three types of distortions are very high, while for the other two they are unacceptably low. An attempt has been made to explain this situation by the properties of distorting algorithms that change the structural properties of the image to varying degrees. The possibility of comparing images of the same scene, but with different resolutions, is demonstrated.
The President of the EU General Court issues two orders for interim measures on personal data gathered in EU antitrust probes against social media platform (Facebook)

In the context of ongoing antitrust investigations into Facebook Inc.'s (‘Facebook') data-related practices (AT.40628) and Facebook marketplace (AT.40684), on 13 March 2020 the European Commission…
Traffic Flow Series Outlier Detection Based on Time Series Pattern Extraction and Confidence Interval Estimation

Raw data quality control is a research content of data preprocessing in Intelligent Transportation Systems (ITS). In this paper, a time series pattern extraction and confidence interval estimation based outlier detection strategy is proposed for traffic flow outlier detection. Analyzed traffic flow data includes sectional traffic volume and average speed series with 5 min time interval was collected from urban arterials in Kunshan City, China. Fluctuation characteristics of traffic flow time series are analyzed, then an STL model proposed by Chatfield is used for traffic flow time series decomposition and wave pattern extraction. Taking the extracted series pattern as modeling objects, an ARIMA model is introduced to estimate the dynamic confidence interval of the pattern series. Finally, the outliers of traffic flow time series can be identified and kicked off from the estimated dynamic confidence interval. Results show that the proposed strategy can detect the outliers of traffic flow time series.
Calculating the Dimension of the Universal Embedding of the Symplectic Dual Polar Space using Languages

The main result of this paper is the construction of a bijection of the set of words in so-called standard order of length $n$ formed by four different letters and the set $\mathcal{N}^n$ of all subspaces of a fixed $n$-dimensional maximal isotropic subspace of the $2n$-dimensional symplectic space $V$ over $\mathbb{F}_2$ which are not maximal in a certain sense. Since the number of different words in standard order is known, this gives an alternative proof for the formula of the dimension of the universal embedding of a symplectic dual polar space $\mathcal{G}_n$. Along the way, we give formulas for the number of all $n$- and $(n-1)$-dimensional totally isotropic subspaces of $V$.
Punctuation as a means of enhancing the expressiveness of English-language advertising text on the example of targeted Internet advertising

The article identifies the characteristic features of expressive punctuation of English-language advertising, analyzes the syntactic structures in advertisements used for targeted Internet advertising. We examined punctuation syntactic stylistic means, their role in the construction of an effective advertising text in the conditions of its application in the Internet.
Efficiency Of Using The Method Of Illustration In The Classes On Phonetics Of Modern Russian Literary Language In Higher Educational Institution

The article attempts to analyze and describe the application of the illustration method in the classroom on the phonetics of the modern Russian literary language. The effectiveness of the application of this method in the modern educational process with the aim of developing abstract thinking and enhancing the cognitive activity of students is traced. The necessity of using the illustration method at the present stage is proved.
Research on Active Aging Learning and Satisfaction in the Elderly in the age of artificial intelligence

At present, artificial intelligence has become an important driving force for a new round of technological revolution and industrial transformation. Under the background of the increasingly significant trend of global population aging, it is an important issue to consider how to serve cognitive aging and geriatric linguistics research based on artificial intelligence technology to serve the transformation of the elderly from healthy aging, active aging to active aging. The research and application of artificial intelligence based geriatric linguistics and services for the aged include at least three fields: basic research on gerontology, detection of aging and diseases, and cognitive rehabilitation of aging language.This study explores the correlation between active aging learning and satisfaction among senior citizens. Taking the students from the Senior College of Central Taiwan as the research object, the Active Aging Learning and Satisfaction Questionnaire was used as the research tool. A total of 440 copies were sent out using a convenient sampling method. 400 questionnaires, deducted 20 incomplete questionnaires, effectively recovered 380 points, and the effective recovery rate was 86.36%. SPSS (Satistical Package for the Social Science) for Window statistical suite software was used as an analysis tool for descriptive statistics Data analysis was performed by statistical methods such as single factor variation analysis, regression analysis, item analysis, and factor analysis. The results of statistical analysis show that there is a significant difference in active aging learning and satisfaction among older people. In addition, research has found that the relationship between active aging learning and satisfaction has predictive power. Based on preliminary research, researchers have found that active aging learning has an effect on improving the satisfaction of older people, and makes relevant suggestions for future research and teaching units.
PEMANFAATAN APLIKASI ANDROID DAN VIDEO PEMBELAJARAN UNTUK MENINGKATKAN HASIL BELAJAR PESERTA DIDIK DALAM MATERI JARINGAN KOMPUTER

The purpose of this activity is to improve the learning outcomes of students in studying computer network material using teaching media in the form of an Android application to replace MMS and learning videos.The subjects of this activity were students of class XII IPA 4 SMA N 1 PECANGAAN.The method used in this activity is classroom action research on student learning outcomes.In carrying out this activity, students are asked to take the pre-test and post-test.Which is where the results of this research activity increase student learning outcomes due to increased understanding of computer network material provided in the form of teaching media in the form of android applications and learning videos
Digital Data Sharing Using Blockchain

Abstract In recent times data security has become a very big threat and also making our personal data hundred percent secure has become a challenging job. In addition to the above issues the maintenance of these data cost much more, and the user is unaware of his data usage by the third parties. So in creating a network in which the user identity is securely shared where the complete ownership is provided to the user who will have full access to the information that they have provided to the third party. This network can be implemented by using blockchain technology which provides distributed ledger that leads to data immutability and avoidance of central ownership. So by using this technology the data is more secure than before and the user has full knowledge about his own data. Keywords: Blockchain, database, ethernet Cite this Article S. Monisha, V. Pavithra, R. Priyanya, N. Pooranam. Digital Data Sharing Using Blockchain. Journal of Network Security . 2019; 7(2): 11–14p.