Reviewerly/exHarmony huggingface dataset:
Technology Acceptance Model Analysis for Internet of Thingsbased Remote Monitoring at Bali Mandara General Hospital

This study aims to analyze the technology acceptance model for remote monitoring based on the internet of things at Bali Mandara General Hospital. The number of respondents used in this studynamely the Engineering Department. The research method used is qualitative in the form of direct interviews through interviews, the researchers extracted data, information, and information frameworks from the research subjects. The data analysis technique used in this study was the Miles and Huberman Model data analysis technique. Based on the results of the analysis in this study, it is found that from the results of the interview research conducted that Remote Monitoring has benefits for employees in the engineering department to improve their performance and effectiveness properly and also to use to improve their performance and effectiveness. Remote Monitoring makes employees in this Department of Engineering able to use Remote Monitoring well. From the results of the interview, research conducted that Remote Monitoring can be easily used by employees in the Department of Engineering because this tool is very easy to operate and also for ordinary people it is also easy to use it and also with intention to use this remote monitoring makes employees in this Department of Engineering able to use remote monitoring easily.
The Construction of Composition Technology Theory Curriculum System in Music Education of Normal University under the Background of “Harmony Centralization”

Harmony is an important part of composition technology theory curriculum system in music education of normal university, which is closely related to other courses. In order to further improve the teaching quality of composition technology theory course in music education of normal university, and enhance the students’ understanding and application ability of composition technology theory course content, this paper takes harmony as the guiding ideology, sets harmony as the “center” of composition technology theory course system, realizes the organic integration and penetration of composition technology theory courses, and establishes the “harmony-centered” composition technology theory curriculum system.
Leukemia Detection Using Images Processing

Acute Myelogenous Leukemia (AML) is a fast growing cancer of the blood and bone marrow. The need for automation of leukemia detection arises since current methods involve manual examination of the blood smear as the first step toward diagnosis. This is time consuming, and also the accuracy of the method depends on the operator’s ability. In this paper, various image segmentation and feature extraction methods used for AML detection are discussed.
Corruption and the Performance of Amman Stock Exchange

This study aims to investigate the short and long run impacts of corruption on the performance of the ASE for the period (1998-2017).Both Autoregressive Distributed Lag (ARDL) bounds testing approach of co-integration and Nonlinear Autoregressive Distributed Lag (NARDL) are employed to examine the linear and nonlinear relationships between corruption and the performance of ASE.The empirical results for the ARDL and NARDL models have revealed the existence of a long-run relationship between corruption and the volume of trade in ASE as a proxy of the performance of ASE. The long-run parameters of the models came in line with economic theory, which implies that the corruption negatively affects the volume of trade. For the ARDL a 1% increase in corruption level leads to a 2.64% decrease in the volume of trade. The speed of adjustment after a shock to restore equilibrium in the dynamic model is found to be (-88%) a year and is highly significant (1% level). And for the NARDL model, the asymmetric effect of corruption reveals that a positive change in corruption effects negatively on the volume of trade, where an increase in corruption by 1% leads to a decrease by 4.33% in the volume of trade, and the negative change of corruption effects positively on the volume of trade, where a decrease in corruption by 1% leads to an increase by 6.12% in the volume of trade. The speed of adjustment in the dynamic model is found to be (-70%) and it is highly significant (1% level).
HUBUNGAN ANTARA KEMAMPUAN BERPIKIR KRITIS DENGAN KEMAMPUAN MEMBACA (STUDI KASUS BUDAYA LITERASI MAHASISWA PPKn UNIVERSITAS NEGERI SURABAYA)

Abstrak Penelitian ini bertujuan untuk mengetahui hubungan antara kemampuan berpikir kritis dengan kemampuan membaca pada mahasiswa PPKn Universitas Negeri Surabaya. Teori yang digunakan dalam penelitian ini adalah teori konstruktivisme Jean Piaget. Populasi penelitian adalah 87 mahasiswa PPKn Universitas Negeri Surabaya yang dikategorikan gemar membaca ditandai dengan sering berkunjung di perpustakaan/ruang baca. Sampel penelitian berjumlah 70 mahasiswa. Penelitian ini  menggunakan pendekatan kuantitatif dengan desain korelasional . Variabel penelitian ini adalah kemampuan berpikir kritis sebagai variabel bebas dan kemampuan membaca sebagai variabel terikat. Teknik pengumpulan data menggunakan tes kepada setiap responden yang menjadi sampel penelitian. Teknik analisis data menggunakan product moment . Hasil analisis menunjukkan terdapat hubungan positif antara  kemampuan berpikir kritis dengan kemampuan membaca pada mahasiswa PPKn Universitas Negeri Surabaya, meskipun hubungannya rendah. Kata kunci : berpikir kritis, membaca, budaya literasi.  Abstract This study aims to determine the relationship between critical thinking skills and reading skills in PPKn Surabaya State University students. The theory used in this research is Jean Piaget constructivist theory. The study population was 87 PPKn Surabaya State University students who were categorized as fond of reading marked by frequent visits to the library / reading room. The research sample amounted to 70 students. This research uses a quantitative approach with a correlational design. The variables of this study are the ability to think critically as independent variables and the ability to read as fixed variables. Data collection techniques using direct tests to each respondent who became the study sample. Data analysis techniques using product moment. The analysis shows that there is a positive relationship between critical thinking skills and reading skills in PPKn students at Surabaya State University, although the relationship is low. Keywords : critical thinking, reading, literacy culture.
A Research Paper on Cloud Services and Its Testing

“Testing as a service” is a new model that provides end-users with testing capabilities. The cost of complicated maintenance and improvement will be saved by consumers, and service providers can update their services to the end users without effect. It is necessary to tackle the elasticity of the “TaaS” system in a cloud environment due to unequal amounts of concomitant demands. The development and sending of algorithms to optimize the use of computational resources has been developed. Cloud computing results in a change from the traditional desktop model to online services in the delivery of and use of computer resources. This ensures that the way the products are checked will change as well. We build a model of TaaS across cloud and evaluate the platform's scalability, increasing the load of test tasks; analyze the distribution of computation time in cloud-based trial planning and evaluation, and compare the utility of proposed algorithms.
Experiencias Docentes en el Contexto del COVID-19. Diversidad, Desigualdad e Inequidad en la Crisis Pandémica

The intention of this paper is to recover the experiences of teachers of different educational levels during the educational crisis caused by the COVID-19 pandemic. The health contingency showed how far the possibilities of the educational system and institutions go as the reproductive nature of an unjust social system exacerbated the inequalities in accessing institutional education. In this context, teacher placed their will, time, talent and creativity to help students and carry out academic programs. With this recovery of testimonies, we hope to contribute to the questioning of how far and in what way the educational experiences lived in this pandemic crisis will help us to have a better educational system.
Malicious Url Prediction Using Machine Learning Techniques

Phishing attacks have been a constant problem for years, despite diminution efforts from industries and the academic side. There were many attacks caused due to the insecure behavior. We accept that users fall into the trap of these websites because of a lack of education on it and not aware of these security threats and visible virtual environment unusuality on the sites they visited. Users who use smart gadgets and devices tend to fall into this trap even more than computer users due to the screen size and performance. Most of the users fall into a hitch due to opening unnatural links and responding to unfamiliar recipients. Our project will help the users detect these kinds of phishing websites and reduce the risk of falling into this trap, and it can be useful for mobile phone and desktop users. Thus, we implemented a lightweight algorithm for detecting a spamming website without user activity. Our project is working in a real-time environment and is independent of any pre-defined data sets. We used some of the authorization agents and looked into the http responses to determine the authorized webpages. Pop up window will be appeared to check whether the link is malicious or not. Regression and Classification are the main concepts used in our project.
Pengembangan Motif Kain Tenun Songket Siak Khas Riau pada Produk Fesyen

Abstract One of the most famous Riauâ€™s culture which still maintained and preserved until now is Malay Siak Traditional Songket Weaving Motifs. Unfortunately, in this time of its development process, people start to ignore the rules in case to fulfil what buyer wants. As the result, a lot of people includes the Riau society donâ€™t have any idea about neither the meaning of the motifs that contained inside the Songket nor the compositing rules as the special character of this songket. Therefore, this research is made to be one of the efforts to bring back the knowledge about the characteristic of Malay Siak Traditional Songket Weaving motifs and the compositing rules.. This research use descriptive qualitative method and source of references. Data collecting method is observation to Siak and data literature. The output of this research is clothing that using a printed fabric that contained the result of developing and exploring the motifs of Malay Siak Traditional Songket Weaving that fits the market target. Keywords Malay, Motifs, Songket Siak
STUDENTS LANGUAGE ATTITUDE IN MAINTAINING HERITAGE LANGUAGE

The objectives of the research study were to determine the students attitude toward heritage languageand to know students habits in maintaining heritage language. A small-scale survey was carried outto probe students language attitude in maintaining heritage language. 20 participants took part inthis present study. The research data were collected through Two research instruments, they are: aquestionnaire and a semi-structured interview. The finding showed that the students have positivelanguage attitudes towards languages and maintain heritage language well, this is supported by theactive role of students in preserving local languages in their respective environments.
OPEN EDUCATIONAL RESOURCES:PELUANG UNTUK BELAJAR MANDIRI BAHASA JERMAN DI ERA COVID-19

Open Educational Resources provide opportunities for German language teachersand learners to take advantage of freely available materials. Teachers can adopt, adapt, orchange German-language materials on pages marked with OER for teaching purposes freelywithout worrying about being sued for copyright infringement. Learners can access materials forindependent study at any time without having to pay. This study aims to map the Germanlanguage material available on the OER website. The data were collected using documentobservation techniques, and the analysis used was content analysis. The results show thatmost of the OER pages provide structure and vocabulary material in German. There is very littlematerial related to reading skills and no material to guide speaking and writing exercises.Keywords: open educational resources, German language, structure, vocabulary
Cryptocurrencies with Security Policies and Two-Factor Authentication.

Blockchain-based cryptocurrencies offer an appealing alternative to Fiat currencies, due to their decentralized and borderless nature. However the decentralized settings make the authentication process more challenging: Standard cryptographic methods often rely on the ability of users to reliably store a (large) secret information. What happens if one user's key is lost or stolen? Blockchain systems lack of fallback mechanisms that allow one to recover from such an event, whereas the traditional banking system has developed and deploys quite effective solutions. In this work, we develop new cryptographic techniques to integrate security policies (developed in the traditional banking domain) in the blockchain settings. We propose a system where a smart contract is given the custody of the user's funds and has the ability to invoke a two-factor authentication (2FA) procedure in case of an exceptional event (e.g., a particularly large transaction or a key recovery request). To enable this, the owner of the account secret-shares the answers of some security questions among a committee of users. When the 2FA mechanism is triggered, the committee members can provide the smart contract with enough information to check whether an attempt was successful, and nothing more. We then design a protocol that securely and efficiently implements such a functionality: The protocol is round-optimal, is robust to the corruption of a subset of committee members, supports low-entropy secrets, and is concretely efficient. As a stepping stone towards the design of this protocol, we introduce a new threshold homomorphic encryption scheme for linear predicates from bilinear maps, which might be of independent interest. To substantiate the practicality of our approach, we implement the above protocol as a smart contract in Ethereum and show that it can be used today as an additional safeguard for suspicious transactions, at minimal added cost. We also implement a second scheme where the smart contract additionally requests a signature from a physical hardware token, whose verification key is registered upfront by the owner of the funds. We show how to integrate the widely used universal two-factor authentication (U2F) tokens in blockchain environments, thus enabling the deployment of our system with available hardware.
Pemanfaatan Teknik Silang Literasi dalam Model Discovery Learning pada Pembelajaran Teks Eksplansi Kelas XI Mipa 7 SMA Negeri 1 Klaten Tahun Pelajaran 2018/2019

This class act research as a purpose to explain the realization of learning about explanatory text in model descovery learning, explain increasing result of student learning and try to explain how liveliness with stimulation, problem statemen, data collection, data processing,n verification,n and generalization.The realization this research done by two cycle.n Each cycle consist two meeting with four step, that is planning, acting, obseving, and relfecting. This research was conducted in SMA negeri 1 Klaten, 2018/2019 academic year, first period.n For the subject of this research is student from XI IPA 7. The aggregate of the data use test and note technique.n Test technique is done by make some explanatory text use cross literation technique. In other condition , mote technique done by interviewing and observing.The literation cross technique in discovery learning model affect a positive effect at liveliness and the students study result at the explanation text. This is proven by the invrease of studebt liveliness and their study result from pre cycle until the second cycle.At the pre cycle step, the students who get done classicaly by 25% or only seven students. At the first cycle just around 23 or 74,19% students who get done. And at the second cycle there are 31 students or 100%. Usemen of the literation cross technique in discovery learning model at material learning explanation text increas student's average 11.55 and the percentation of completeness classicaly from pre cycle until the second cycle.Keywords : cross literation, doscovery learning, explanation
The Technology of the Blockchain

In this chapter, the author discusses how blockchain works, with a particular focus on bitcoin. Beginning with an account of an infamous flaw in bitcoin, the chapter goes on to describe the cryptography that allows the blockchain to serve as a decentralized repository of immutable information.
A synchronous NPA hierarchy with applications

We present an adaptation of the NPA hierarchy to the setting of synchronous correlation matrices. Our adaptation improves upon the original NPA hierarchy by using smaller certificates and fewer constraints, although it can only be applied to certify synchronous correlations. We recover characterizations for the sets of synchronous quantum commuting and synchronous quantum correlations. For applications, we show that the existence of symmetric informationally complete positive operator-valued measures and maximal sets of mutually unbiased bases can be verified or invalidated with only two certificates of our adapted NPA hierarchy.
Crime Reporting and Citizen Safety

The present world is technology-driven as it is employed by many fields in the performance of their operation. In the case of law enforcement agencies, this is evident in the use of automated crime record management systems worldwide to keep a record of crime and criminals involved. Crime being an act against the law of a society is a threat to the well-being of the populace and so, requires efficient and effective monitoring. For this reason, Crime Reporting & Citizen Safety has been developed to achieve this purpose. However, traditionally, the reporting and management of crime records & complaints are majorly manual, which is, with the use of pen and paper. These records are therefore susceptible to destruction from pests and uncensored manipulation by both authorized and unauthorized personnel. This research aims to design and implement a computerized real-time application system. Crime Reporting & Citizen Safety enhances efficiency in correcting the problems earlier stated and it is an effective tool for easy analysis of data which will improve the law enforcement operations.
Open Access, Open Monographs, Open Data, Open Peer Review

Last year’s UKeiG professional development programme was a huge success attracting delegates from all sectors and disciplines of the library and information profession. UKeiG Chair David Ball’s workshop – “Open Access, Open Monographs, Open Data, Open Peer Review” – provided food for thought and a state-of-the-art overview of the complex issues around the open access, open science agenda. The preamble for the day stated: “The concept of Open Access to research outputs has been common currency for many years. The rapid growth of the Internet has made different publication models easily available. More recent thinking has expanded the concept of openness even further, to Open Science, which aims to transform science by making research more open, global, collaborative, creative and closer to society. This approach is being embraced by all academic disciplines. The shift is extremely important for the development and exploitation of research, and hence for the professionals who support it.” One of the delegates, Ruth Wells, New Product Development Manager for CABI, but then representing the academic journals and publishing service Veruscript, was inspired to blog about the day and we have included her observations in this issue.&#x0D; Keywords: Open Access, Open Science, Open Data, Peer Review
IMPROVEMENT OF HAAR FEATURE BASED FACE DETECTION IN OPENCV INCORPORATING HUMAN SKIN COLOR

Face detection from a digital image or video stream is used often for various purposes. But sometimes a system detects an object or area as a face where there is no face at all. This paper presents a technique to reduce such wrong detection rate introducing human skin color (HSC) characteristic. The general property of human skin in RGB color space is that it possesses R>G>B (i.e., red values are higher than green value and green value is higher than blue). In this study, such HSC property has been incorporated with the popular Haar Feature Based Face Detection (HFFD) in OpenCV, to reduce wrong detection of faces. Proposed HFFD with HSC (HFFD-HSC) has been tested and compared with standard HFFD rigorously on large number images with single and multiple faces. Experimental results identified the effectiveness of HSC incorporation in HFFD to improve its performance reducing wrong detection of faces.
Syntactic Structure Distillation Pretraining for Bidirectional Encoders

Textual representation learners trained on large amounts of data have achieved notable success on downstream tasks; intriguingly, they have also performed well on challenging tests of syntactic competence. Hence, it remains an open question whether scalable learners like BERT can become fully proficient in the syntax of natural language by virtue of data scale alone, or whether they still benefit from more explicit syntactic biases. To answer this question, we introduce a knowledge distillation strategy for injecting syntactic biases into BERT pretraining, by distilling the syntactically informative predictions of a hierarchical---albeit harder to scale---syntactic language model. Since BERT models masked words in bidirectional context, we propose to distill the approximate marginal distribution over words in context from the syntactic LM. Our approach reduces relative error by 2-21% on a diverse set of structured prediction tasks, although we obtain mixed results on the GLUE benchmark. Our findings demonstrate the benefits of syntactic biases, even for representation learners that exploit large amounts of data, and contribute to a better understanding of where syntactic biases are helpful in benchmarks of natural language understanding.
Review and Analysis Load Balancing Machine Learning Approach for Cloud Computing Environment

The discussion centres on load balancing approaches utilising the Artificial Learning Approach cloud computing paradigm. Cloud load balancing is a series of activities to distribute workloads to underused VMs, such that resources can be more efficiently distributed across cloud computing. In this paper, we discuss a  Approach to design a load handling system with a similar case study to incorporate various scheduling approaches. The design of the model will be carried out using a managed approach that chooses to test log data on the basis of predictions. It maximises resource utilisation in different condominiums, such as low, medium and peak loads, and also provides device reliability. This induces a dynamic system environment.