Reviewerly/exHarmony huggingface dataset:
Optimalisasi Pemanfaatan Koleksi Sastra melalui Digitasi dan E-Service untuk Mendukung Pembentukan Karakter Bangsa

One of the ways to shape the dignity of a nation is to broaden the horizons of language and culture and this can be done by reading literary collections. The role of literature, of course, cannot be explained by physical evidence because literature talks about the soul, the spirit, and something related to one's mind. However, if disseminated to the public, literary works can produce future generations who are more competent, critical, creative, and most importantly, have a conscience. Literature plays a role in shaping the character of a nation. This study aims to determine how the literature books in the 6 FPPTI-DIY member libraries are used by users. This research is also intended to determine whether the use of literary books has an effect on character education? In addition, this research is also intended to provide recommendations in order to optimize the use of literary books through digitization and e-service. The research design was designed using mixed methods. The strategy used in this research is sequential explanatory strategy. The population in this study were library visitors of FPPTI DIY members from 6 universities with 617,539 literature study programs. Sampling was done by using the stratified sampling technique. Qualitative data collection was determined by looking at gender and literature reading preferences. There were 4 people assigned from each library, consisting of 2 male visitors who like to read and 2 female visitors who don't like to read, as many as 24 informants. Data analysis was performed using SPSS for Windows version 21. The results of this study prove that the use of literary books in 6 FPPTI-DIY member libraries, those literary books are used by users when there are lectures related to literature. This was conveyed by respondents with a frequency of coming 1-2 times a week and a frequency of utilizing literary collections twice a week. Through the results of quantitative analysis by testing the hypothesis of this study proves that the quality, quantity, and visibility of books have an effect on optimizing the use of literary books through digitization and e-service on character building. The role of 6 FPPTI-DIY member libraries in optimizing the use of literary books, which is related to the importance of reading literature through digitizing literary collections and e-service is considered good enough and overcomes the limitations of book availability.
A Proposed Model for Measuring Social Responsibility and Its Application in Jordanian Business Environment

Abstract This study examines the extent of corporate social responsibility practices amongst listed Jordanian companies at Amman Stock Exchange (ASE). corporate social responsibility   had been measured in this study using a corporate social responsibility disclosure index  and which encompasses  four groups. 53 Jordanian companies examined during the period 2016-2018. The finding reveals that Jordanian companies adopt corporate social responsibility on different types of information including  employee information, environment information, society information and customer information, although this corporate social responsibility disclosure might be considered low as the means of disclosure were (52.2%). More specifically, the mean disclosure for employee information, environment information, society information and customer information were (50%), (40.9%),(39.1%) and (95.5%), respectively.  In addition, the results show that the highest corporate social responsibility disclosure was for the customer information and the lowest was for the society information.
Two basic criteria for the correctness of microscopic theory

The first important criterion for the correctness of the theory, which is commonly called Gilbert’s principle, is its confirmation by experimental data. To date, experimental physicists have studied the properties of a very large number of objects and phenomena of the physical world. Therefore, the lack of experimental data that are important for understanding the fundamental laws of Nature is very rare. Such a lack of measurement data caused the long-term discussion between A. Einstein and N. Bohr. Almost a hundred years ago, they and their colleagues actively discussed the role of chance in the microcosm. Since then, the opinion of the creators of quantum mechanics that radioactive decay is a purely random phenomenon had taken root. However, the majority of the physical community leaned towards this view as a result of some implicit vote without relying on measurement data. Therefore, checking the correctness of the solution to this problem required a focused experimental study. Recent results of the study of the phenomenon of beta-decay [18] have shown its forced nature, i.e., the correctness of the proponents of determinism. However, theoretical models are usually based on existing experimental data and create to explain them. Therefore, they satisfy this data, so to speak, automatically. But among the theories created in the twentieth century, there are some that are well developed mathematically, but can not explain several other properties of the objects under study [9],[14]. In this case, the application of Gilbert’s principle is ambiguous. Therefore, an additional criterion is needed to determine the correctness of the microscopic theory. Since microscopic theories must rely on the equations of quantum mechanics, the coefficients of which are world constants, then the solutions of these equations must be consisting of these constants. Thus, we can formulate an additional criterion for the correctness of the microscopic theory: it should be based on relations consisting only of fundamental constants. The correctness of this criterion is seen in the work of models of superfluidity and superconductivity, models of several particles and models of the interior of stars.
Individualism in the United States in the 19th Century in Terms of Sociolinguistics on the Example of Works by R. W. Emerson and H. D. Thoreau

Individualism is today a part of the American identity. Due to the short history of the U.S. the American people were in need to create their own customs and traditions. That is why there are manifold philosophical and political writings involving the characteristics of an American and views on ideal versions of the young country. However different those views may be, there are motifs that repeatedly occur over time and individualism is one of the most popular themes. This research discusses the involvement of two representatives of the Transcendental Movement in the U.S., Ralph Waldo Emerson and Henry David Thoreau, in the formation of American ethos. The study is based on the analysis of the essay "Self-Reliance" by Emerson and fragments of Thoreau's book Walden and his essay "Civil Disobedience". Not only is the substance of the texts is analysed, but also the vocabulary choices and their possible consequences.
Copyright of Objects of Automatised Production

Machines are increasingly able to produce, to an extent independently, results that can be considered worthy of copyright protection. Such products are of substance that a third person without knowledge of provenance would likely attribute them to a human creator. This paper will explore the (contentious) attribution of copyright of such works under Austrian and German Law and will argue that if no other legal link can be established, it is ultimately the last interactor with the machine that should be awarded copyright under the current legal framework.<br/>
APPLYING AHP TECHNIQUE TO CHOOSE PRODUCT TYPE IN PAPER FACTORIES

One of the substantial concerns of investor in the paper and cardboard industry in order to obtain maximum efficiency & profit is selecting the right product to manufacture, therefore this study carry on in Iran to avoid manufacturer to make wrong decision cause previously some investor in paper market failed just in case didn't let all major criteria to be considered.To find out the best product for the paper and cardboard produce in a factory located in the center of Iran in the first stage we ask 20 experts in different filed of paper and cardboard participate in this survey and while we get all respond from them according to Delphi technique we summarize it, arrange second survey and collect all date and obtain all major criteria accepted by all participants.
Cross-Language Transformer Adaptation for Frequently Asked Questions

Transfer learning has been proven to be effective, especially when data for the target domain/task is scarce. Sometimes data for a similar task is only available in another language because it may be very specific. In this paper, we explore the use of machine-translated data to transfer models on a related domain. Specifically, we transfer models from the question duplication task (QDT) to similar FAQ selection tasks. The source domain is the well-known English Quora dataset, while the target domain is a collection of small Italian datasets for real case scenarios consisting of FAQ groups retrieved by pivoting on common answers. Our results show great improvements in the zero-shot learning setting and modest improvements using the standard transfer approach for direct in-domain adaptation.1
Translation of New Named Entities from English to Chinese

New things are being created and new words are constantly being added to languages worldwide. However, it is not practical to translate them all manually into a new foreign language. When translating from an alphabetic language such as English to Chinese, appropriate Chinese characters must be assigned, which is particularly costly compared to other language pairs. Therefore, we propose a task of generating and evaluating new translations from English to Chinese focusing on named entities. We defined three criteria for human evaluation—fluency, adequacy of pronunciation, and adequacy of meaning—and constructed evaluation data based on these definitions. In addition, we built a baseline system and analyzed the output of the system.
Should You Pay for the Chicken When You Can Get It for Free? No Longer Life on the Farm as We Know It

The scholarly publishing ecosystem is being forced to adapt following changes in funding, scholarly review, and distribution. Taken alone, each changemaker could markedly influence the entire chain of research consumption. Combining these change forces together has the potential for a complete upheaval in the biome. During the 2019 Charleston Library conference, a panel of stakeholders representing researchers, funders, librarians, publishers, digital security experts, and content aggregators addressed such questions as what essential components constitute scholarly literature and who should shepherd them. The 70-minute open dialogue with audience participation invited a range of opinions and viewpoints on the care, feeding, and safekeeping of peer-reviewed scholarly research. The panelists were: James King, Branch Chief &amp; Information Architect at the NIH; Sharon Mattern Büttiker, Director of Content Management at Reprints Desk; Crane Hassold, Senior Director of Threat Research at Agari; and Susie Winter, Director of Communications and Engagement, Springer Nature. The panel was moderated by Beth Bernhardt, Consortia Account Manager at Oxford University Press. Beth posed questions to the panel and each panelist replied from their vantage point. The lively discussion touched on ideas and solutions not yet discussed in an open forum. Such collaborative approaches are now more essential than ever for shaping the progress of the scientific research community. In attendance were librarians, editorial staff, business development managers, data handlers, library collection managers, content aggregators, security experts and CEOs.
IMPROVING STUDENTS’ READING COMPREHENSION USING VIP (VOCABULARY INVESTOR PACKAGE) MEDIA AT SMKN 1 BATU

One of main concerns of the most English as Foreign Language (EFL) teachers is how to assist the students to develop English language proficiency. In this regard, reading is considered as a crucial part of the EFL learning process. The major goal of teaching reading is students are able to recognize the words and convey the meaning of them. Vocabulary seems to gain far more attention as the students had difficulties of interpreting the words that interferes their reading comprehension. Given such limitation of the students’ competence, their motivation may become low. Having seen this phenomenon, the teacher should maximize opportunities for students to improve their reading comprehension as well as their motivation. To this end, this research investigates the implementation of VIP (Vocabulary Investor Package) Media to enhance students’ reading comprehension. The research conducted Classroom Action Research (CAR) by employing 2 cycles to 28 students of twelve grade at SMKN 1 Batu. Accordingly, the procedures included planning, implementing, observing, and reflecting. The results show that (1) the highest score in cycle 2 was higher than the highest score in cycle 1; (2) the lowest score in cycle1 increased compared to cycle 1; (3) the average score was better than in cycle 1; (4) the percentage of students who achieved the minimum criterion (KKM) in cycle 2 was improved rather than in cycle 1; and (5) the percentage of students who did not reached KKM was decreased compared to cycle 1. Therefore, the use of VIP (Vocabulary Investor Package) Media successfully improves students’ reading comprehension. For the effective implementation, this suggests that applying VIP media to the other skills is highly required.
RESEARCH OF HUMAN ATTRIBUTES FOR THE TASK OF RE-IDENTIFICATION

The paper investigates the problem of recognizing human attributes to improve re-identification. The analysis of re-identification methods and methods of recognition of human attributes is carried out. The data sets of human attributes are considered: Market-1501, DukeMTMC-reID, PETA, RAP-v1, RAP-v2 and PA-100k. Problems related to the formation and sets of human attributes and their use are analyzed. Recommendations for the selection and use of human attribute sets are provided. The paper also provides an overview of the metrics for evaluating methods for recognizing human attributes.
Використання нейронних мереж в задачах експлуатації і ремонту рухомого складу електротранспорту

Deep neural networks have achieved great success in controlled learning problems, and MIL as a typical poorly controlled learning method is effective for many applications in computer vision, biometrics, natural language processing, etc. In this article, we review several neural networks with multiple instances ( MINN), which neural networks seek to solve MIL problems. MINNs perform MILs in the end, which take bags with different numbers of instances as input and directly output the tags of the bags. All parameters in MINN can be optimized by back propagation. In addition to revising old MINNs, we offer a new type of MINN for exploring bag representations, which differs from existing MINNs that focus on the evaluation of an instance label. In addition, recent tricks developed in deep learning have been studied in MINN; we find that deep supervision is effective for a better understanding of bag views. In experiments, the proposed MINNs achieve the most advanced or competitive performance on several MIL tests. Moreover, for testing and learning it is very fast, for example, it takes only 0.0.0 03 s to predict the bag and a few seconds to learn on the MIL datasets on a moderate processor.Initially, several instances (MILs) were proposed to predict bounce activity [1]. Now it is widely applied to many domains and is an important problem in computer training. Many multimedia data have a multiplier (MI) structure; For example, a text article contains several paragraphs, the image can be divided into several local areas, and gene expression data contains several genes. MIL is useful for processing and understanding MI data.Studying multiple instances is a type of weak controlled learning (WSL). Each sample is executed in the form of labeled data, which consist of a wide variety of instances associated with the functions of input. The purpose of MIL in the dual task is to prepare a classifier for prediction of test packet labels, based on the assumption that there is a positive packet and contains at least one positive instance, while the data is negative if it consists only of negative instances.
Analisis Data Sistem Informasi Geografis Rumah Tidak Layak Huni (RTLH) Menggunakan Metode Fuzzy Logic

Houses and other types of housing are things that cannot be separated from the needs of human life. The house function as a place to refuge, a place to live, and to gather with family. Proper housing is the basic need of all people who will strengthen the family, as the main pillar of the nation's strength, at the same time acting as a bastion against various health risks. The properness of a house for family housing becomes the basis for the growth and development of a better family life. Roofs, floors, and walls (aladin) are indicator data of whether a house is proper or not at the time of the survey. An adaptive, flexible and interactive computer-based system is used to solve unstructured problems so the more valuable decisions can be produced. This study describes how to process data using fuzzy logic methods. The expected result is to support the decision whether or not a house is feasible are in accordance with the facts and location data in the field. To determine which housing are categorized as severely damaged, moderate and lightly damaged by using the fuzzy logica method with roof, floor and wall variables as input variables so that local governments will find it easier to sort work priorities in the short, medium and long term
Pengujian Performansi Lima Back-End JavaScript Framework Menggunakan Metode GET dan POST

Currently, JavaScript is widely used in server-side (Back-End) website development. There are five choices of Back-End JavaScript frameworks that are commonly used: Koa, Express, Plumier, Loopback, Nest. Developers need to choose which framework has the best performance in order to produce a website with the best performance. For this reason, in this research, a comparsion of performance of the five Back-End JavaScript frameworks on the HTTP protocol was carried out using the GET and POST methods. Performance measurement uses two assessment parameters: 1.) The framework's ability to handle requests per second (req/s), 2.) Decrease in data processing speed (%) related to parsing, validation, routing, requests. Each tested framework is equipped with a router, body-parser, validator, NPM. Tests were carried out ten times on GET and POST, then obtain the average performance value of each framework. The test results show that Koa has the best performance and Loopback has the worst. From the results, it is recommended that Koa, Express, Plumier, be chosen by the developer, compared to Nest and Loopback.
The Influence of Information Security Culture towards Employee’s Intention to Comply with Information Security Policy: The Mediation Effect of Attitude, Normative Belief and SelfEfficacy.

Prevalent research highlights that a positive Information Security Culture (ISC) couldimprove security behaviour, in particular, the employee’s intention to comply withInformation Security Policy (INT) in an organization. Although there are substantialempirical studies that suggestINT is influenced by Attitude (ATT), Normative Belief (NB)and Self-Efficacy(SE), there is little evidence whether these three mainconstructs of theTheory of Planned Behaviour(TPB)are also present inthe relationship between ISC and INT.This paper examines the mediating effects of ATT, NB and SE in the relationship betweenISC and INT. A cross-sectional survey was conducted involving the respondents fromMalaysian Public Universities.Partial Least Square-Structural Equation Modeling (PLSSEM) was employed to validate the research model and test the hypotheses. Findingsrevealed that ATT, NB and SE play significant roles as mediators in the relationship betweenISC and INT.The findings further suggestthat ATT, NB and SE are important in ensuring theeffective establishment of ISC in improving employee’s security behaviour.
A Survey on Multilingual Code Switching in Social Groups

Code Mixing (CM) occurs when people converse using two or more languages simultaneously. Generally, code switching can be observed in day-to-day life in various parts of the world and has been in use since time immemorial. Over the recent years, code switching may also be observed in social media platforms due to its tremendous usage. This research contains a detailed study of code-switching along with its history, objectives, types and its purpose. It also attempts to analyse the pros and cons of code switching collected through a survey.
Experimental Results on Higher-Order Differential Spectra of 6 and 8-bit Invertible S-Boxes

Designing S-box with good cryptographic properties still remains as one of the most important areas of research in symmetric key cryptography. For quite sometime, inverse function ( $$x\mapsto x^{-1}$$ , i.e., $$x^{2^n-2}$$ ) over $$\mathbb {F}_{2^n}$$ has been the most popular choice for S-boxes due to good resistance against differential and linear cryptanalysis. Very recently Tang et. al. (2020) proved that inverse function admits a bias (error) of $$\frac{1}{2^{n-2}}$$ when considered in its second-order differential spectrum. In this paper we present experimental results related to higher-order differential spectrum of multiplicative inverse functions for $$n=6$$ and 8 and compare the result with APN permutation for $$n=6$$ . In particular, we observe that APN permutation over $$\mathbb {F}_{2^6}$$ has larger bias in its second-order differential spectrum with probability $$\frac{1}{8}$$ ( $$\frac{1}{2^{n-2}}$$ ). This fact admits the possibility of higher-order differential attacks against block ciphers which employ APN permutations as a nonlinear layer.
An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection.

In the past few years, several works describing systems for the prompt detection of falls have been presented in literature. Many of these systems address the problem of fall detection by using some handcrafted features extracted from the input signals. In the meantime interest in the use of feature learning and deep architectures has been increasing, thus reducing the required engineering effort and the need for prior knowledge. A fall detection method based on a Deep Convolutional Neural Network Autoencoder is presented in this work. This method is trained as a novelty detector through the end-to-end strategy. The classifier distinguishes normal sound events generated by common indoor human activity (i.e. footsteps and speech) and music background from novelty sound events produced by human falls. The performance of the algorithm has been assessed on a corpus of fall events created by the authors. Moreover a comparison was made with two different state-of-art algorithms both based on a One Class Support Vector Machine. The results showed an improvement on performance of about 11% on average.