Reviewerly/exHarmony huggingface dataset:
Peningkatan Jumlah Prototipe Produk Hasil Riset Universitas Andalas

Innovation products are new ideas and ideas generated, one of the results of research.Universities are limited to only lead to the results of research and publications. Prototype development is one solution to maximize research results so that it can be utilized and commercialized. With the proper funding, a strategy can accelerate the downstream process of research results and break down the obstacles that are causing the failure of the innovation process. The purpose of this program is a prototype as a media for the dissemination of research products from university and the availability of innovative research products from Andalas University. The resulting product prototype will be displayed in a showroom, and become a visual aid. The method used is data collection of potential products to be produced, collaboration with inventors, the prototype production, product improvement, and socialization by joining bazaar. The number of prototypes produced totaled 36 types of products, which went through the consultation stages of forms, types of packaging and labeling. Increasing the number of prototypes obtained from this research can increase the desire of researchers to improve applied research that can benefit human life, and it is expected to lead to the government's confidence in higher education innovation products.
The scalability challenge of the blockchain: a review

The blockchain is an equivalently new innovation utilized for storing and verifying transaction records for online cryptocurrencies like Bitcoin. The framework is expandable and distributed, making it hard for transactions to be rehashed, copied, or faked. During the transaction process many unsolved issues have been noticed such as there is no data privacy as many blockchains are public and scalability. Scalability is an important concern to ensure large-scale adoption of blockchain systems. The throughput of a blockchain is limited if it grows linearly and peers are forced to execute transactions serially. This paper aims to provide an overview which outlines on the major challenge of the blockchain which is the scalability issue. Moreover, in order to assist the development process of new technologies the pros and cons of previous techniques used for improving the scalability challenges of the blockchain are summarised.
Correcting for Misclassied Binary Regressors Using Instrumental Variables

Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are invariant across all values of the instrument. We show that this assumption is invalid in routine empirical settings. We derive a new estimator that is consistent when misclassification rates vary across values of the instrumental variable. In cases where identification is weak, our moments can be combined with bounds to provide a confidence set for the parameter of interest.
Aula Virtual en moodle para el aprendizaje del lenguaje de programación en bachillerato técnico.

ABSTRACTIn recent times the technology has come to change some ways of thinking in human beings,in ancient times it was very rudimentary, with the appearances of instruments which mancould have changed life on earth over the years were born the technologies and this came toevolve the world everything is now very fast and very modern, education is part of themodern changes, the classes were taught in a classroom of slate and ink markers, now seeas digital tools have legacy to incorporate new learning s process where there is activeparticipation and interaction between teachers, students and society in general. That is whythere is this scientific article, with the aim of creating an educational Blog as a teaching toolto enhance educational processes in the field of social studies for students in ninth year ofthe Educational Unit Juan Montalvo of the City of Quito, Ecuador. Its methodologicaldevelopment was based on techniques such as observation, survey, the index cards,lincografias, hemerografias and mnemonics, which helped in the creation, design andstructure of the blog, as well as the registration of information in the platform andvalidation of the resource according to the perspective of teachers and students. Accordingto the results, it was concluded that teachers considered useful implementation of theeducational blog, for the support and strengthening, which provides to the learning process;while students showed motivation in carrying out the activities, through interaction with theplatform and learning in the achievement of the knowledge community.Keywords: ICT, mechanical devices, instructive procedure, blog, Educational Blog, SocialStudies, innovative training
ETHICS IN DevOps, THE ATTITUDE OF PROGRAMMERS TOWARDS IT

DevOps represents combination of the engineer’s team and the operations team, working together in an automated environment and also in a repeatable way. Working this way will help in getting the things done faster. Development and operations teams are entirely two different teams and it has been always impossible for them to work together. DevOps is not based on stringent methodologies and processes; it is based on professional principles that help business units collaborate inside the enterprise and break down the traditional silos. This paper contains general information about DevOps technology in the Software Engineering. The first part contains an introduction in DevOps, a short history of it, the concept of making the development team and operations team work together and the role of the DevOps Engineers. Later, we will talk more deeply for DevOps and its own tools, thus continuing with the ethical issues in DevOps, where we talk about the principles in coding and their importance in developing. Continuing this way with the results from a survey where each question is demonstrated with a figure and explanation in which all participants are Developers. The main purpose of the survey is to get the opinion of Programmers about ethical issues in Developing, how much they are informed about principle in ethical coding, do they practice them and have they ever written some unethical code. In the end as a conclusion we have mentioned some reasons for code that accomplishes something unethical during the process of Development in Software Engineering.
Pengaruh Penggunaan Media Pembelajaran Audio Visual Terhadap Hasil Belajar Pada Mata Pelajaran Ekonomi Kelas X Di SMS Muhammadiyah 1 Karanganyar

The purpose of this study was to determine whether there is a significant influence between audio-visual learning media on learning outcomes in economic subjects in class X SMA Muhammadiyah 1 Karanganyar. The research method used is experimental quantitative research with pre-experimental research design type one group pretest postest. The population was all students of class X SMA Muhammadiyah 1 Karanganyar as many as 213 students divided into 6 classes. The sample used was 40 students who were taken from class X IPS 5 and X IPS 6 by using purposive sampling technique. Data collection techniques using test data and documentation. Meanwhile, the data analysis technique used normality test, homogeneity test and hypothesis testing. From the normality test it can be seen that the data obtained is normally distributed with a pretest significance value of 0.653> 0.05 and posttest 0.396> 0.05. From the homogeneity test that has been carried out, it can be seen that the data is homogeneous and can be used for different test analysis or ANOVA. This can be seen from the significance value of 0.312 (more than 0.05). While from the hypothesis test it can be concluded that the learning outcomes of class X economics at SMA Muhammadiyah 1 Karanganyar show a significant difference in learning outcomes with a significance of 0.00 less than 0.05. In addition, it can be concluded that the use of audiovisual learning media has a significant effect on improving student learning outcomes in class X economics subjects at SMA Muhammadiyah 1 Karanganyar, this can be seen from the average post-test score which has increased by 6.33 from the pretest value is 4.35.
Cash Exchange Rate Application

Nowadays, people are able to watch the current exchange rate through online such as google currency exchange rate. If they want to compare the exchange rate be-tween bank, they need to open the website of the bank. Cash Exchange Rate application is an Android based application that developed to provide a platform help public users to check the cash exchange rate among different bank. The users are allowed to select the bank they wish to check the rate. Moreover, users are allowed to view the bank’s rate and also bank’s details in this application. Moreover, this application also provide user to find nearby bank. If user wish to go to the selected bank, this application also provides navigation function. The methodology used to develop this Android based application is Object-oriented Software Development (OOSD) model. Database used for this system is Firebase while software technology used to develop is Android studio.
La Educación Física en tiempo de la Covid-19

espanolUna asignatura esencial para la educacion integral del alumnado que se esta viendo muy afectada por las medidas legislativas que se estan imponiendo en esta pandemia en el ambito educativo. EnglishAn essential subject for the students» holistic education which is being very much affected by the legislative measures imposed on the educational sector during the Covid 19 pandemic.
A New Approach for finding Low-Weight Polynomial Multiples.

We consider the problem of finding low-weight multiples of polynomials over binary fields, which arises in stream cipher cryptanalysis or in finite field arithmetic. We first devise memory-efficient algorithms based on the recent advances in techniques for solving the knapsack problem. Then, we tune our algorithms using the celebrated Parallel Collision Search (PCS) method to decrease the time cost at the expense of a slight increase in space. Both our memory-efficient and time-memory trade-off algorithms improve substantially the state-of-the-art. The gain is for instance remarkable for large weights; a situation which occurs when the available keystream is small, e.g. the Bluetooth keystream.
The 1599 Letter by Giordano Bruno’s Accuser, Celestino of Verona: All Is Not as It Seems

The heretic Capuchin Celestino of Verona, one of the harshest opponents of Giordano Bruno, wrote in 1599 to the Roman Inquisition and (anonymously) to the Venetian Inquisitor to inform himself. In a few months, he was burnt alive on the heels of an unusually short Inquisitorial trial. This traditional account, held by the most prominent scholars of Giordano Bruno too, states that the Venetian Inquisitor received an anonymous letter. Once the Pope came to know of this manuscript, he asked to run a handwriting analysis, suspecting Celestino himself. Here we show, based on a careful reading of the extant minutes of the proceedings of the Holy Office, that an alternative version can be provided which fully disagrees with the standard account.
Research on Integrated Management of Multi-Source Heterogeneous Disaster Data

An earthquake is a natural disaster with great destructive power and serious harm to humans. The collection of earthquake disaster information is a very complicated task, and it is even more difficult to mine valuable information from the massive, scattered and real-time changing disaster data. In response to the problems of slow and fragmented postearthquake disaster acquisition, large errors in disaster assessment, and inadequate decision support, this paper describes the design of open data interfaces to collect disaster data information from different sources and different structures in the shortest time, then implement integrated encoding to achieve dynamic management of disaster data throughout the life cycle. The experiment shows that the effect is good. This result provides a decision-making basis for rapid and effective emergency rescue of relevant departments.
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification.

In this work, we study the phenomenon of catastrophic forgetting in the graph representation learning scenario. The primary objective of the analysis is to understand whether classical continual learning techniques for flat and sequential data have a tangible impact on performances when applied to graph data. To do so, we experiment with a structure-agnostic model and a deep graph network in a robust and controlled environment on three different datasets. The benchmark is complemented by an investigation on the effect of structure-preserving regularization techniques on catastrophic forgetting. We find that replay is the most effective strategy in so far, which also benefits the most from the use of regularization. Our findings suggest interesting future research at the intersection of the continual and graph representation learning fields. Finally, we provide researchers with a flexible software framework to reproduce our results and carry out further experiments.
Solving partial differential equations in quantum computers

In this work, we develop a variational quantum algorithm to solve partial differential equations (PDE's) using a space-efficient variational ansatz that merges structured quantum circuits for coarse-graining with Fourier-based interpolation. We implement variational circuits to represent symmetrical smooth functions as the ansatz and combine them with classical optimizers that differ on the gradient calculation: no gradient, numerical gradient and analytic gradient. We apply this method to the computation of the ground state of the one-dimensional quantum harmonic oscillator and the transmon qubit. In idealized quantum computers, we show that the harmonic oscillator can be solved with an infidelity of order $10^{-5}$ with 3 qubits and the transmon qubit with an error of order $10^{-4}$ with 4 qubits. We find that these fidelities can be approached in real noisy quantum computers, either directly or through error mitigation techniques. However, we also find that the precision in the estimate of the eigenvalues is still sub-par with other classical methods, suggesting the need for better strategies in the optimization and the evaluation of the cost function itself.
Intelligent Data Mining On Reviews for Better Decision Making

The Intelligent computing system, described to be a collection of the connected device working in mutual understanding to attain a particular purpose, is an incorporation of artificial intelligence and the computational intelligence, and are employed in variety of applications The advent of social media and the rapid development of mobile communication technologies have dramatically changed the way to express the feeling, attitude, mood, passion etc. People often express their reaction, fancies and predilections through social media by means of short texts of epigrammatic nature rather than writing long text. Many social websites like Twitter, Google Review, FaceBook, Amazon, etc enables people to share and discuss their thoughts, opinion and view in the form of short text, which can be useful for other unknown peoples, customers and service users to decide whether that service or product is good or not. In this paper, whole process is divided into two steps. In first step through intelligent data mining data will be abstracted and in second step analysis frame work will be there, which will focuses on positive and negative opinion and through Jquery the visualization will be created will be helpful for peoples to make decision on their subject (i.e. on Hotels, restaurants, services, products, movies, etc). In visualization section it will contain graph. Comparison parameter can also be implemented which will be again very much helpful for user and peoples.
The Drug Manufacturer as a Drug Information Resource

Pharmacists use a myriad of drug resources for patient care; however, the drug manufacturer is often overlooked and underutilized as a resource for drug information. Pharmaceutical companies have a medical information department that is responsible for providing drug information to pharmacists and the public about the company's products. This article will explain the purpose and functions of the medical information department within a pharmaceutical company. In addition, the type of information that may be requested and the ways to request drug information will be discussed.
Improved Algorithms for Population Recovery from the Deletion Channel.

The population recovery problem asks one to recover an unknown distribution over $n$-bit strings given access to independent noisy samples of strings drawn from the distribution. Recently, Ban et al. [BCF+19] studied the problem where the noise is induced through the deletion channel. This problem generalizes the famous trace reconstruction problem, where one wishes to learn a single string under the deletion channel. Ban et al. showed how to learn $\ell$-sparse distributions over strings using $\exp\big(n^{1/2} \cdot (\log n)^{O(\ell)}\big)$ samples. In this work, we learn the distribution using only $\exp\big(\tilde{O}(n^{1/3}) \cdot \ell^2\big)$ samples, by developing a higher-moment analog of the algorithms of [DOS17, NP17], which solve trace reconstruction in $\exp\big(\tilde{O}(n^{1/3})\big)$ samples. We also give the first algorithm with a runtime subexponential in $n$, solving population recovery in $\exp\big(\tilde{O}(n^{1/3}) \cdot \ell^3\big)$ samples and time. Notably, our dependence on $n$ nearly matches the upper bound of [DOS17, NP17] when $\ell = O(1)$, and we reduce the dependence on $\ell$ from doubly to singly exponential. Therefore, we are able to learn large mixtures of strings: while Ban et al.'s algorithm can only learn a mixture of $O(\log n/\log \log n)$ strings with a subexponential number of samples, we are able to learn a mixture of $n^{o(1)}$ strings in $\exp\big(n^{1/3 + o(1)}\big)$ samples and time.
TEACHING STRATEGY TO PROMOTE STUDENTS SPEAKING SKILL IN EXTRACURRICULAR OF THE 2nd GRADE AT AZMANIA BOARDING SCHOOL IN THE ACADEMIC YEAR OF 2018/2019

Speaking is one of the most important skills in communication that should be learned by the people. By speaking, the people combine information and ideas by communicating with each other. Extracurricular is one of ways to learn English. By following English extracurricular, the students can increase their speaking skill ability. All of students at Azmania Boarding School also follow the English extracurricular. Therefore, when they are in second grade, they are able to use English in their daily lives. The purpose of this study was to analyze the teaching strategy to promote students speaking skill in English extracurricular of the 2nd grade and the implementation of the strategy at Azmania Boarding School of Ponorogo in the academic year of 2018/2019. This research design was qualitative research of case study. As the data collection techniques, the researcher used qualitative observation and interview. The subject of this research was the instructor of the second grade’s English extracurricular. Based on finding and discussion, the teacher’s activities in classroom were learning by playing, singing and telling. Those activities were categorized as Active Learning strategy. This strategy gave good effect for the students. This strategy also increased students’ motivation in speaking skill. The implementation of this strategy was by combining materials with song, story and game. The implementation of this strategy also based on the students’ need. Based on the results of the study, the researcher gives suggestion related to the strategy of teaching speaking. For teachers, it is hoped that this research can encourage other teachers to adopt this strategy. Besides adopting this strategy, other teacher can modify this strategy to improve speaking skill of the students. The teacher also can apply interesting strategies to develop the students’ ability. By using various strategies in teaching, it is hoped that the students are not bored and get good way to improve students speaking skill. For students, they need to increase their motivation and interest in learning English. They need to practice speaking skill in their activity. Students can use media in around them, for examples; song, story or novel, games, etc. to improve their speaking ability. The last for other researcher, the researcher hopes that the other researcher can do some improvement in many aspects that can be analyzed in English language especially in speaking skill.
ALTERNATIF SKENARIO PEMANFAATAN AIR EMBUNG NELAS BERDASARKAN KARAKTERISTIK KETERSEDIAANNYA

Abstract East Nusa Tenggara Province is a province that has many embungs. Embung Nelas, in Lamaknen District, Belu Regencyis planned to meet the water demand of the population and cattle in Makir &amp; Lamaksenulu Village as well as field water demand in Makir Village. Embung Nelas is design by using dependable flow Q 80%. From the calculation, Embung Nelas can meet the water demand in Makir and Lamaksenulu villages until 2040 for a population of 5888 people, 4029 large cattle, 1739 small livestock and 3277 chicken, as well as the irrigation water demand of 23 hectares the Makir Village Considering that the rainy conditions are not the same every year, a water use scenario is made based on the water conditions. There are 4 discharge conditions, dry discharge (Q97.3%), low discharge (Q 80%), normal water discharge (50.7%) and sufficient water discharge (26%). The simulation results in the other 3 scenarios, were obtained for the dry discharge of Embung Nelas in 2040 which was only able to irrigate 76% of raw water and cattle, in normal water conditions it could irrigate 6.6 Ha more fields and in sufficient water it could irrigate 12.9 Ha more fields. Keywords: Embung, Dependable flow, Simulation, Scenario
한글 관련 내용에 대한 학생 인식 조사

The purpose of this study is to confirm students'' awareness of Hangeul and to make new contents of Hangul education in Korean language education. This paper intended to check the awareness of middle and high school students related to Hangeul through this survey.The summary results of this study is as follows.1. Students'' awareness of Hangul is influenced not only by the content of Hangeul education but also by informal social education.2. There is a problem with the student''s awareness of the contents of Hangeul education included in Korean language education. ex) the originality of Hangeul, some principles for making Hangeul, the prejudice of the excellence of Hangeul.3. It is possible to confirm the new contents of Hangeul education included in Korean language education. ex) ‘Hunminjeongeum Haeryebon’, Hangeul characters using differently with 15th century, the history of Hangeul since the creation of Hangeul
Inform or Endorse? Twitter and the Post Initial Coin Offering Token Performance

Our research explores the link between tokens post Initial Coin Offering (ICO) market performance in terms of returns, volumes and volatility, and the role of social media activity (namely Twitter) as information disseminator vis-a-vis project endorser. We look at a sample of token negotiated for at least two year using data from HitBTC and Twitter. Results show that twitter has mainly an endorsement role: the activity in terms of likes, replies and retweets (endorsement of the project) is associated to higher returns, higher average volume traded per day and lower return’s volatility; the activity linked to original tweets and tweets with quotes, weblinks, images and videos (information dissemination) has a very much marginal effect on post ICO tokens’ market performance. The results obtained are consistent when a different trading platform (Huobi Global) is used and robust to alternative estimation technique.