Reviewerly/exHarmony huggingface dataset:
Social Informatics: 30 Years of Scientific School Development in Russia

The article deals with the history of the formation, current state and prospects for the development of social informatics as a current direction in science and education in Russia. The structure of the subject area of social informatics is also presented. The distinctive features of the Russian scientific school of social informatics and its priorities in the formation of this direction are shown. The perspective directions of research in the field of social informatics in the context of the formation of the global information society are determined. The interdisciplinary nature of many issues of social informatics is shown, which stimulates the emergence of new scientific disciplines at the intersection with other fields: economics, sociology, biology, cultural studies and anthropology. Some of them are already actively developing in Russia. The necessity for the deep study of issues related to social informatics is important not only in the area of scientific research but also in the system of education and training of scholars.
Социально-культурное творчество как область самореализации студенческой молодежи

In this article, special attention is paid to the socio-cultural creativity of students. A brief description of youth, in particular, student youth, in terms of their socio-cultural activity is presented. The essence and content of the concept of «socio-cultural creativity» in its project in the youth sphere are revealed.
AN ERROR ANALYSIS ON SYNTACTICAL ERRORS IN STUDENTS’ ENGLISH WRITING

English has been studied for many years in Indonesia, it is important to recognize some common errors that are produced by the learners in order to help them improving. Therefore, this research aims to investigate the types and sources of syntactical errors that occur on fifth-semester students’ English writing. A qualitative descriptive method is used in this study. The results show there are 25 syntactical errors that consist of 3 errors in phrases and 22 error in clauses. The writers found there are 22 errors in clause. Furthermore, errors in clause the percentage show that misselection with 63%, addition with 23%, omission with 14% and misorder with 0%. Meanwhile, errors in clause, misselection error is the most frequent error occurred. Then, there are two sources of errors namely interlingual and intralingual errors. The writers found 8 data as interlingual errors and 17 data as intralingual errors. The intralingual errors are divided into four categories named overgeneralization (3 data). ignorance of rule restriction (10 data), incomplete application of rule (3 data), and false concept of hypothesis (1 datum).
Sintesis komposit Bi4Ti3O12/TiO2 dengan metode sonikasi

Composite Bi4Ti3O12/TiO2 heterojunction photocatalyst has been prepared by sonication methods. The heterojunction material Bi4Ti3O12/TiO2 was synthesized using an ultrasonic cleaning bath for 4 hours, by mixing Bi4Ti3O12 and TiO2 with variations in the comparison of mol 1:1, 1:2, 1:4 and 1:6. Characterization with XRD showed heterojunction material consisting of Bi4Ti3O12, anatase, rutile, and Bi12TiO20. The surface was observed by SEM which showed the morphology of Bi4Ti3O12/TiO2 were spherical TiO2 and plate-like Bi4Ti3O12. The band gap energy of heterojunction material with a variation in mol Bi4Ti3O12: TiO2 of 1:1, 1:2, 1:4 and 1:6 are 3.09; 3.10; 3.15; and 3.16 eV respectively. The all of band gap energy is lower than the band gap energy of TiO2 anatase and higher than the band gap energy of Bi4Ti3O12.
The Relevance of e-learning and interactive learning technology as an effective educational model of the modern educational process.

1- Abstract- The purpose of this study is to investigate the impact of teachers, students, and technology on distance learning during the pandemic COVID-19. In today's world, it is necessary to change the approach of e-learning the methodology of the educational process and the electronic standard of education, a person who wants to achieve professional success and career growth must constantly improve his educational level, Change is possible with the introduction of interactive learning technologies. The ensemble of students is getting bigger, with more and more students improving their qualifications in the e-learning system. According to the Rector of the Higher School of Economics, the proportion of 18-year-old enrolled in universities in the age group is 90%. At the same time, the results of training specialists with higher education are not consistent with students, teachers, and employers.
Quantifying the interplay of clouds and their environment through an energetic lens during EUREC4A

&amp;lt;p&amp;gt;The trades form an important link in the atmospheric energy supply, transporting moisture and momentum to the deep tropics and influencing the global hydrological cycle.&amp;amp;#160;Trade-wind cumuli are the most ubiquitous cloud type over tropical oceans, yet models disagree in simulating their response to warming.&amp;amp;#160;Our study takes advantage of extensive in-situ soundings performed&amp;amp;#160;during the EUREC4A campaign, which took place in the downstream&amp;amp;#160;trades of the North Atlantic in winter 2020. We employ 1068&amp;amp;#160;dropsondes&amp;amp;#160;made in a ca. 2deg x 2deg area&amp;amp;#160;to&amp;amp;#160;close the moisture and energy budgets of the subcloud layer and atmospheric column. Our motivation for closing moisture and energy budgets using EUREC4A data is two-fold. First, we try to understand which large-scale environmental factors control&amp;amp;#160;variability in subcloud layer moisture and moist static energy, given their influence on setting convective potential.&amp;amp;#160;Second,&amp;amp;#160;we quantify the interplay between clouds and their environment through an energetic lens. The&amp;amp;#160;cloud radiative effect emerges as a residual from the total column moist static energy budget,&amp;amp;#160;yielding an energetic estimate of clouds. We quantify how this cloud radiative effect compares with coincident satellite and geometric (i.e. cloud fraction) estimates of cloudiness,&amp;amp;#160;varies on different scales, and relates to large-scale environmental conditions.&amp;lt;/p&amp;gt;
Zoom을 활용한 한국어 쓰기 수업에서의 플립드 러닝의 효과

This study set out to propose new alternatives for online writing education in intermediate Korean level by incorporating flipped learning into an experiment on writing education for foreign learners and testing its effects on the improvement of their writing abilities. The subjects were divided into the experiment group, in which flipped learning was applied, and the control group, which did not apply flipped learning. Both groups received four lessons on writing under No. 53 on TOPIK II. Expert evaluators scored their writing before and after the lessons, and their work was compared and analyzed on average scores. The analysis results of the experiment show that the experiment group made a considerable increase in their average writing scores from 18.78 before the experiment to 25.25 after the experiment at the significance probability of .000002(p<.05), which leads to the conclusion that there were significant effects on their writing.(Kyung Hee University)
LibGuides: Substance Abuse and Addictive Behaviors: Home

A compulsive physiological need for and use of a habit-forming substance, activity, or behavior.
Sammon Mapping-Based Gradient Boosted Trees for Tax Crime Prediction in the City of São Paulo

With the currently vast volume of data available, several institutions, including the public sector, benefit from information, aiming to improve decision-making. Machine Learning enhances data-driven decision-making with its predictive power. In this work, our principal motivation was to apply Machine Learning to ameliorate fiscal audit planning for São Paulo’s municipality. In this study, we predicted crimes against the service tax system of São Paulo using Machine Learning. Our methodology embraced the following steps: data extraction; data preparation; dimensionality reduction; model training and testing; model evaluation; model selection. Our experimental findings revealed that Sammon Mapping (SM) combined with Gradient Boosted Trees (GBT) outranked other state-of-the-art works, classifiers and dimensionality reduction techniques as regards classification performance. Our belief is that the ensemble of classifiers of GBT, combined with SM’s ability to identify relevant dimensions in data, contributed to produce higher prediction scores. These scores enable São Paulo’s tax administration to rank fiscal audits according to the highest probabilities of tax crime occurrence, leveraging tax revenue.
LibGuides: Faculty Support Services: Research Help

This portal provides information about library resources and services that can support faculty teaching and research
Study of Moto Logger’s OFF-CAMERA Behavior and Its Effect on the Followers

Before popular journalism and even before popular social networking sites like MySpace and Facebook were created in the initial stages of the internet, people saw the internet as an opportunity for their voices to be heard in a wider spectrum than ever before. But what began as a small field for aspiring, writers, and journalists or even channel for innovative technological capitalists has since turned into free-for-all outlet for the everyday media user and if you think about it, in today’s society it seems like everybody’s a blogger. In the Digital Era, Vloggers or Video loggers are a very popular platform for the youth as well as for adults where they can share their experience and massage to society. Motovloggers is one of the upcoming technologies. In the last 5 years, Motovloggers has been most popular among the youth and adults both. People try to imitate them, get inspired by them, get motivated by them and also try to be like them. In today's ‘era youngsters want to come on the screen to be famous and they are the easy target for upcoming technologies. It is very easy to make youngsters have faith in the people on screen. Everyone wants to get famous and inspirational people are followed by others, but sometimes they are followed in the wrong way.This Research Paper shows the effect of Motovloggers off-camera behavior on its followers and people related to them. This Research paper shows the consequences of their behavior on the youngsters as there are more chances that youngsters might follow them blindly and herm them as well as to their family. This paper presents a wide-ranging survey of Motovlogging as a new technological trend and challenges for Motovlogging as key issues for followers. This study shows the behavior of a Moto vlogger and its effects on its followers
Investigating the Role of the Financial Intermediaries on Sustainable Development in Egypt: An Empirical Evidence

This paper focusing on investigating the role of the financial intermediaries on the social development directly and indirectly through the economic development, which is a vital axe of the three main axes of the sustainable development, in Egypt during 12 years from 2006 to 2017. The researcher used multiple linear regression analysis by OLS method. The model tested the impact of the independent variables, on the dependent variables, which are the national income per capita, as a proxy of the poverty level, and the real GDP per capita, as a proxy of the economic development.The research shows that the factors affect poverty significantly in Egypt are real GDP per capita, gross capital formation, banks deposits to GDP. Moreover, real GDP per capita is affected by Commercial bank branches (per 100,000 adults), Market capitalization of listed domestic companies (% of GDP), Monetary, Central Bank, Assets, Domestic Currency (% GDP), Domestic credit to private sector (% of GDP), and Banks Assets to GDP. These results illustrate that the financial intermediaries have both direct effect, and indirect effect on poverty through influencing the real GDP per capita.
1930년대 아빙돈 『단권 성경주석』 사건에 대한 선교적 고찰

In order to celebrate the 50th anniversary of Protestant Mission in Korea, few foreign missionaries and many Korean pastors from both Methodist and Presbyterian churches participated in the translation of The Abingdon Bible Commentary, and Hyungki J. Lew led this meaningful affair. However, the general assembly of the Korean Presbyterian Church rejected The Abingdon Bible Commentary, because the book denied the biblical inerrancy and verbal inspiration. Also, the Presbyterian Church adjured that the Presbyterian writers request for withdrawal of their translations in the next publication of the commentary. The impact via Presbyterian Church’s objection at that time seems to have not been so great. Rather, the commentary was sold a lot. This paper deals with the dispute of The Abingdon Bible Commentary in the 1930s from the viewpoint of missiological perspectives.
Institutional Quality, Fight Against Corruption, Energy Consumption and Economic Growth in the MENA Region

The objective of this paper is show the effect of the Fight Against Corruption through the Institutional quality on energy consumption and economic growth. Using models of simultaneous equations and for a definite period (1984-2018), our empirical contribution will try to clarify the complementarity between the Institutional quality and the Fight Against Corruption and to show the direct and indirect effects of the action of the public power on energy consumption and economic growth in the MENA region.
Using the modified k-mean algorithm with an improved teaching learning based optimization algorithm for feedforward neural network training

In this paper we proposed a novel procedure for training a feedforward neural network. The accuracy of artificial neural network outputs after determining the proper structure for each problem depends on choosing the appropriate method for determining the best weights, which is the appropriate training algorithm. If the training algorithm can be arranged in such a way that it starts from a good starting point, it is several steps closer to achieving global optimization and the best and most appropriate weights of the neural network. In this paper, we present an optimization strategy for selecting the initial population and determining the optimal weights with the aim of minimizing neural network error. Teaching-learning based Optimization is a less parametric algorithm rather than other evolutionary algorithms, so it is easier to implement. We have improved this algorithm to increase efficiency and balance between global and local search. Another important factor in the performance of an evolutionary algorithm is convergence. The improved TLBO algorithm has added the concept of neighborhood to the basic algorithm, which improves the ability of global search. Using an initial population that includes the best cluster centers after clustering with the modified k-mean algorithm also helps the algorithm to achieve global optimum. The results are promising, close to optimal, and better than other approach which we compared our proposed algorithm with them.
A note on constacyclic codes over the ring z_3[u, v]/

In this paper, we study λ-constacyclic codes over the ring R = Z 3 [u, v]/ for λ = (1 + u),(2 + 2u) and 2. We introduce a Gray map from R to Z 3 3 and show that the Gray image of a cyclic code is a quasi-cyclic code of index 3. It is proved that the Gray image of λ-constacyclic code over R is permutation equivalent to either quasi-cyclic or quasi-twisted code according to the value of λ. Moreover, we determine the structure of (1+u)-constacyclic codes for an odd length n over R and give some suitable examples.
Sistematización de dos experiencias en la Institución Educativa Rafael J. Mejía 2017 y 2018, una propuesta en el reconocimiento de la innovación educativa

This research is the systematization of the educational experiences of the Sekatsu Anime Project and the Patch D Project that have been implemented in the Rafael J. Mejia Educational Institution of the Municipality of Sabaneta (Antioquia). This research initiative is guided by the qualitative approach and after a hermeneutical stance, which is part of the spirit of the systematization of experiences, reflections on educational innovation framed in collaborative work and the commitment to the transformation of traditional educational practices in Classroom.
CHATBOT SISTEM PELAYANAN PENGADUAN MASYARAKAT DENGAN METODE LATENT SEMANTIC INDEXING (STUDI KASUS : PEMERINTAH KABUPATEN MADIUN)

This research was conducted to make it easier for the people of Madiun Regency Government to make complaints. The complaints process is carried out using a chatbot that can classify types of complaints. The methods applied to build this chatbot are text preprocessing, Latent Semantic Indexing, and cosine similarity. Text preprocessing is used to prepare complaints before calculations are made using the Latent Semantic Indexing method. The Latent Semantic Indexing method is used to look for topics in a complaint. Through validation testing, with the existence of Latent Semantic Indexing in this public complaint chatbot, an accuracy value of 84.61% was produced.
QUANTUM CODES FROM CYCLIC CODES OVER $\mathbb{F}_{q}+u \mathbb{F}_{q}+v \mathbb{F}_{q}$

In this paper, we investigate the method of constructing quantum codes from cyclic codes over the ring $R= \mathbb{F}_{q}+u \mathbb{F}_{q}+v \mathbb{F}_{q}$ (u2=u, v2=v, uv=vu=0). By means of the generator polynomials and some decomposition of cyclic codes and their dual over R, we give a necessary and sufficient condition of the cyclic codes over R to be construct the quantum codes. Also as an application, we obtain new non binary quantum codes from those classes of cyclic codes.
LibGuides: Vampires : Discussion Board

Vampires are a huge part of our popular culture today, overloading our TV, Movies, Books, and other forms of media. This guide will have information on Folklore and Legends from around the world, stories of real life vampires, information on some vampires Come here and discuss anything and everything about vampires.
Digitization and the Evolution of Money as a Social Technology of Account

From Aristotle to Ricardo and Menger, economists have emphasised the function of money as a medium of exchange together with the intrinsic qualities that increase its saleability and credibility as a most liquid store of value. But the social institution of money co-evolves with technology. It is significant that the advent of digital cryptocurrencies was initiated by computer scientists and has taken economists completely by surprise. As a consequence, it also forces our profession to rethink the basic phenomenology of money. In accordance with the views of Wieser and Schumpeter, digitization brings to the fore its immaterial function as a standard of value and social technology of account, which increasingly absorbs that of a medium of exchange. The potential impact on economic policy is huge. The variety of different crypto coins has proven the technical feasibility of competing private currencies as proposed by Hayek. In the long term, however, there is reason to doubt the persistence of intense competition. One must fear that major digital platforms will extend their current dominance in multisided virtual market places to include digital payments and money. Central banks are increasingly anxious to preserve public sovereignty over the common unit of account and consider to issue their own digital fiat money. After the current era of intense creative experimentation, the potentially new spontaneous order of private crypto-currencies is likely to be supplanted by central bank digital currencies (CBDCs), the design of which will depend on deliberate public choices and policies.
Lectural and Seminar Lessons in Higher Educational Institutions From Congruence and Coherence Aspects

In this article, the issues of organizing lectures in higher educational institutions is discussed from congruence (horizontally) and coherence (vertically) aspects of the educational environment. The structure and methodological techniques of constructing lectures and the feedback of students in several universities to the different forms of lectures are deeply analyzed and discussed. According to conducted researches the author identified the criteria for evaluating the quality of the conducted lessons and developed methodological recommendations for trainers
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning.

Offline model learning for planning is a branch of machine learning that trains agents to perform actions in an unknown environment using a fixed batch of previously collected experiences. The limited size of the data set hinders the estimate of the Value function of the relative Markov Decision Process (MDP), bounding the performance of the obtained policy in the real world. In this context, recent works showed that planning with a discount factor lower than the one used during the evaluation phase yields more performing policies. However, the optimal discount factor is finally chosen by cross-validation. Our aim is to show that looking for a sub-optimal solution of a Bayesian MDP might lead to better performances with respect to the current baselines that work in the offline setting. Hence, we propose Exploitation vs Caution (EvC), an algorithm that automatically selects the policy that solves a Risk-sensitive Bayesian MDP in a set of policies obtained by solving several MDPs characterized by different discount factors and transition dynamics. On one hand, the Bayesian formalism elegantly includes model uncertainty and on another hand the introduction of a risk-sensitive utility function guarantees robustness. We evaluated the proposed approach in different discrete simple environments offering a fair variety of MDP classes. We also compared the obtained results with state-of-the-art offline learning for planning baselines such as MOPO and MOReL. In the tested scenarios EvC is more robust than the said approaches suggesting that sub-optimally solving an Offline Risk-sensitive Bayesian MDP (ORBMDP) could define a sound framework for planning under model uncertainty.
Effects of measurement time and presentation size conditions on biometric identification using eye movements

Biometric identification using eye movements is an identification method with low risk of spoofing, however the problem with it is that the eye movement measurement time is long. In this paper, we studied pattern lock authentication using eye movement features. As a result of 1-to-N identification using the data of six subjects, it was found that the identification rate was maximized at a measurement time of 3 seconds, indicating that it was possible to identify individuals in a short measurement time. In addition, we examined the effects of the data measurement time conditions and the presentation size on the rate of identification. The condition which maximized the identification rate was a measurement time limit of 3 seconds or the presentation of a stimulus pattern using a visual angle of 27.20°. Furthermore, the Mel-Frequency Cepstral Coefficient (MFCC) of the viewpoint coordinates and the diameter of the pupil were the features that contributed most to identification.
ORCID EPrints Implementation - dataset

A survey canvassing user requirements for integration of EPrints software with the ORCID service was circulated to four mailing lists. Although the target audience was the UK EPrints user community, the survey was open to anyone, so included a number of international responses. This dataset includes an anonymised version of the download of results from Bristol Online Surveys and a copy of the survey form.