Reviewerly/exHarmony huggingface dataset:
Rethinking and Relieving Over-Smoothing in Deep GCNs

\emph{Over-fitting} and \emph{over-smoothing} are two main obstacles ofdeveloping deep Graph Convolutional Networks (GCNs) for node classification. Inparticular, over-fitting weakens the generalization ability on small dataset,while over-smoothing impedes model training by isolating output representationsfrom the input features with the increase in network depth. This paper proposesDropEdge, a novel and flexible technique to alleviate both issues. At its core,DropEdge randomly removes a certain number of edges from the input graph ateach training epoch, acting like a data augmenter and also a message passingreducer. Furthermore, we theoretically demonstrate that DropEdge either reducesthe convergence speed of over-smoothing or relieves the information loss causedby it. More importantly, our DropEdge is a general skill that can be equippedwith many other backbone models (\emph{e.g.} GCN, ResGCN, GraphSAGE, and JKNet)for enhanced performance. Extensive experiments on several benchmarks verifythat DropEdge consistently improves the performance on a variety of bothshallow and deep GCNs. The effect of DropEdge on preventing over-smoothing isempirically visualized and validated as well. Codes are releasedon~\url{https://github.com/DropEdge/DropEdge}.
Structural Transformation of Economies of the Economic Community of West African States: An Empirical Analysis

This paper analyses the structural transformation process of ECOWAS economies through an exploratory approach of stylized facts analysis on added value, employment, productivity and intra-and inter-sectoral mobility of labour factor, followed by an econometric approach in balanced panel data from 1991 to 2017 for the 15 countries in the region.The analysis revealed the beginnings of a structural transformation process in some ECOWAS economies, especially Ghana, Nigeria and Senegal, and more or less Burkina Faso and Guinea.The positive effects of the mobility of labour factor, albeit timid and at slow pace, from the agricultural sector to the industrial (manufacturing industry mainly) and services sectors, could be limited, on the one hand, by the low level of human capital development and on the other hand by a reverse itinerary characterized by the hegemony of the activities of the service sector, in terms of the proportion of value added and employment.In this regard, it appears that reforms aimed at strengthening the development of human capital could contribute to the acceleration of the productivities of industrial sector activities in general and manufacturing in particular through the channel of the accumulation of knowledge, know-how and technology.Economies could thus benefit from the growing prospects of attracting FDI in relation to the growing economic and geopolitical interests of foreign investors for Africa in general and ECOWAS in particular.
Adaptive Attention Mechanism Based Semantic Compositional Network for Video Captioning

Video captioning task is to generate a text to describe the content in the video. To generate a proper description, many people have begun to add explicit semantic information to the video generation process. However, in recent work, with the mining of semantics in video, the semantic information in some existing methods will play a smaller and smaller role in the decoding process. Besides, decoders apply temporal attention mechanisms to all generation words including visual vocabulary and non visual vocabulary that will produce inaccurate or even wrong results. To overcome the limitations, 1) we detect visual feature to composite semantic tags from each video frame and introduce a semantic combination network in the decoding stage. We use the probability of each semantic object as an additional parameter in the long-short term memory(LSTM), so as to better play the role of semantic tags, 2) we combine two levels of LSTM with temporal attention mechanism and adaptive attention mechanism respectively. Then we propose an adaptive attention mechanism based semantic compositional network (AASCNet) for video captioning. Specifically, the framework uses temporal attention mechanism to select specific visual features to predict the next word, and the adaptive attention mechanism to determine whether it depends on visual features or context information. Extensive experiments conducted on the MSVD video captioning dataset prove the effectiveness of our method compared with state-of-the-art approaches.
The Study Of Pedagogical University Senior Students' Moral Development

The main indicators of Pedagogical University senior students' moral development are analyzed in the article, which allows, to some extent, to evaluate the results of professional training and, subsequently, to enhance the educational process at the faculty and the University as a whole. The survey was attended by 80 students completing their undergraduate studies at the faculty of social management of Yaroslavl State Pedagogical University named after K. D. Ushinsky. Such methods as observation, creation of diagnostic situations, assessment, focus-group were also applied. The most evident and measurable indicators of senior students' moral development (moral value orientations, personality orientation, goals of professional choice, behavior of students in situations of moral choice, etc.) were identified and selected on the basis of literary resources analysis and the expert evaluation made by specialists. The stages and organization of the study are characterized. As a result of processing techniques and analysis of the empirical data, generalized conclusions are made about a fairly high level of social management faculty graduates' moral development: positive motives for obtaining professional education and participation of students in social activities, priorities of moral values, a high level of moral sense of personal achievements, etc. are formed. The obtained data allows the University teachers to get important information about the moral value orientations of young people and take them into account in their future professional activities, to some extent, to assess the results of educational work at the faculty and to specify the tasks of moral education for the nearest future.
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel

Digital humanities is an important subject because it enables developments in history, literature, and films. In this paper, we perform an empirical study of a Chinese historical text, Records of the Three Kingdoms (\textit{Records}), and a historical novel of the same story, Romance of the Three Kingdoms (\textit{Romance}). We employ natural language processing techniques to extract characters and their relationships. Then, we characterize the social networks and sentiments of the main characters in the historical text and the historical novel. We find that the social network in \textit{Romance} is more complex and dynamic than that of \textit{Records}, and the influence of the main characters differs. These findings shed light on the different styles of storytelling in the two literary genres and how the historical novel complicates the social networks of characters to enrich the literariness of the story.
NEGOTIATION OF MEANING: STUDENTS’ AWARENESS OF THEIR MISTAKES IN USING ENGLISH FOR THE SECONDARY SCHOOL LEVEL

In traditional classes, teachers teach grammar in a deductive way with meaningless activities. The activities do not emphasize the uses of English in real life and lack of communication among teachers and students. Language awareness might give the students a challenge to pose questions and encourage them to explore themselves on how language works. The teachers might be able to encourage the students to participate to lead them to get communicative skills by using negotiation of meaning. This article is intended to explore and analyze the students’ mistakes when negotiating meaning in the language learning process. The qualitative descriptive research was employed in this study with 33 students in senior high school as the subjects of the research. The data were from the students’ interviews and recordings. The finding revealed that the students produced mistakes in grammar, pronunciation, and vocabulary. It showed that the extent of the students’ awareness in responding to a mistake in the negotiation of meaning was low. It was only 16 incorrect utterances that might be corrected by the students. It was divided into two sides, willingness and unwillingness to correct. Factors were affecting the students not to be aware during interaction such as focusing on meaning, the same proficiency level, and condition of the class.
Conditions Of Self-Actualization Of Disabled Students In An Inclusive Educational Environment

The article is devoted to the problem of the formation and improvement of an inclusive higher education system, the quality of which is an indicator of the development of modern society - a society of equal opportunities. The authors focus on the issues of self-actualization, self-realization and self-development of students with disabilities and special needs in the process of their education and training in organizations of inclusive higher education. In order to develop pedagogical conditions for the development of the qualities of a self-actualizing personality, the factors that determine them for the students with disabilities and special needs are studied. We consider the features of students' self-attitude, the degree of their self-confidence, self-acceptance and self-guidance as the dominant factor. The study revealed the peculiarities of self-actualization of students with disabilities and special needs, their self-relationships, the relationship between these psychological phenomena. The authors develop a system of pedagogical conditions necessary for their self-realization in the inclusive educational environment of the educational organization of higher education based on the results of empirical studies. An important condition is the preparation and organization of psychological support for the process of personal and professional development of students with disabilities and disabilities, aimed at correcting the consequences of their disability, increasing their self-acceptance, self-confidence through the development of reflection, self-knowledge and an adequate perception of their uniqueness and personality traits.
The Impact of the Institutional Environment on the Use of Licensed Technology

The robustness of the institutional environment is a requisite factor for the growth and development of a firm. This study is focused on the impact of factors of institutional environment on SMEs’ acquisition and use of licensed technology from abroad. The independent variables considered as the factors of institutional environment are: financial institutions, regulatory institutions, infrastructure, and security, while the dependent variable is the use of licensed technology from abroad. Data from the manufacturing and the service sectors of the economies of Africa and the Middle East are collected from the database of the World Bank Enterprise Survey. The survey employs random sampling to select firms in each country. The firms are stratified based on the number of employees and the geographical region. Questionnaires are administered to firms from 2006 to 2018 through cross-sectional data collection method. By focusing on the scope of research on the two regions and SMEs, the sampled observations are scaled down from 136,887 to 33,977 firms in 53 countries. Although not all the Pearson correlation coefficients of the independent variables with the dependent variable are high, there are satisfactory levels of significance with p-values below 5%. The independent variables in the regression model have a statistically significant impact on the use of licensed technology from abroad. The forecasting power of the regression model, the possible implications from the test results are shown. The limitations of the research and the possible areas for future research are discussed in the last section.
Dialectics Of Contradictions Of Educational Space Of Russian Society

The authors of the article analyze contradictions of the educational space of the Russian society. The issue of education was and is now relevant in modern scientific studies. Problems of Russian educational space can be explained, besides some other reasons, by availability of common world crisis tendencies in this area.Theauthorsreviewnegativetrendsintheeducationalareaatthegloballevel, the setrends being indicated by foreign and domestic researchers in their works associated with the problems of this article directly or indirectly. The statement is being formulated according to which the indicated trends are catalysts of forming negative atmosphere in Russian educational system and increasing antagonistic contradictions. As a research methodology, we chose a dialectical method as reflecting the research specificity most fully. This method allows revealing the research object’s contradictions most fully. The authors of the article identify a number of contradictions of Russian educational system based on moral and axiological, procedural and organizational approaches, besides contradictions are being identified at civilization, state, society and personality levels. At the end the authors conclude that we can’t interpret all contradictions of Russian educational system only as negative ones, since their presence is an integrated factor of functioning of the system.
Hackers, Journalists and the Ethical Swamp

As hacking stories have increasingly made news headlines, those behind the attacks have become ever more adept at co-opting the media into covering their leaks. From Ashley Madison and Sony to the 2016 US Presidential election, news coverage of cyber attacks has become increasingly weaponized by those behind them. Hacking groups have in some cases made direct contact with journalists to steer them towards a particular story, and in other cases have carefully triaged and strategically leaked the data for maximum impact. This has left journalists in a difficult position: exposing the source of the information could well be unethical, but keeping them anonymous could result in the journalist being manipulated to achieve the aims of a hidden and malign actor who escapes culpability. For hackers wishing to expose government or corporate malpractice, it raises practical issues about how to approach and work with news outlets and their staff; both in terms of security and anonymity, but also the ethics of the eventual news coverage that results. Handing information over to a journalist may mean handing over control of how it’s used. In this talk, investigative journalist Geoff White (who has covered technology for, among others, BBC News, Channel 4 News and Forbes) takes five high-profile hacking incidents and analyses how they reflect key trends and tactics for working with (and some cases manipulating) the news media
Analysis of Interpolation Methods for Temperature Records in Aurangabad District of Maharashtra

In this research work, missing value analysis and interpolation strategies utilized on temperature records in Aurangabad district. The year wise maximum temperature and minimum temperature data of Aurangabad district for the duration 1901-2002 had been considered. For each data set, three months i.e. January, May, and August month used to be analyzed one after the other and the data sets with 5 missing values have been eliminated. The missing values of the temperature data sets have been interpolated by using the four interpolation strategies i.e. cubic, Spline, linear and nearest interpolation methods. The interpolating curves, evaluation of missing values and relative percentage error are then being compared.
IMPLEMENTASI INTRUSION DETECTION SYSTEM (IDS) MENGGUNAKAN SURICATA PADA LINUX DEBIAN 9 BERBASIS CLOUD VIRTUAL PRIVATE SERVERS (VPS)

The development of information technology, especially on virtual Private server (VPS) technology in particular that uses Debian Linux operating system, increasingly facilitated with the service Adaya of some VPS providers both locally and non-local, but there is a problem vulnerability if, the server maintainers do not shame testing against the resilience of attacks from outside parties, with the Network Development Life Cycle (NDLC) method is one of the most popular in the Monitoring phase is using Suricata Intrusion Detection System (IDS) software.Suricata is a tool to detect any suspicious activity that could be threatening a network or server with Brute Force technique, DDOS, Port Scanning.Suricata is able to display logs from suspicious activity results in detail with the time, date and IP address of the activity even with the tools used to perform the activity.Also suricata can detect if there is suspicious activity associated with the network.
Manifestation of self-determination in personal, activity and social self-realization of students

The subject of this research is the manifestation of self-determination in personal, activity and social self-realization of students. The goal consists in examination of correlation of the parameters of self-determination with personal, activity and social self-realization of students. The research methodology contains the concepts and theories of the following sholars: E. Deci and R. Ryan (people are able to become self-determined when their need for autonomy is fulfilled); D. A. Leontiev (self-determination as the superior form of self-regulation); S. L. Rubinstein (self-determination as an internal condition of activity for self-determination); A. Maslow and K. Rogers (self-realization as a process of personal growth); S. I. Kudinov (polysystemic model of self-realization). The empirical methods of research included: &amp;ldquo;Test for Self-Determination&amp;rdquo; of E. N. Osin &amp;ndash; modification of the scale of self-determination of K. Sheldon; &amp;ldquo;Test for Life Meaningful Orientation&amp;rdquo; of D. A. Leontiev; &amp;ldquo;Ability to Self-governance&amp;rdquo; of N. M. Peysakhov; &amp;ldquo;Questionnaire on Self-Realization&amp;rdquo; of S. I. Kudinov; &amp;ldquo;Test for Self-Actualization&amp;rdquo; of L. Y. Gozman and M. V. Kroz. The result of the conducted research consists in determination of a positive correlation of the meaningfulness of life and self-expression with all types of self-realization. However, in consideration of the link between self-expression and personality, activity and social self-realization following pattern was established: self-expression on high and low levels has a tendency towards decline of the indicators of self-realization; while the average level of self-expression demonstrates higher indicators of personal and activity self-realization of the respondents.
Research Guides: UL Lafayette Special Collections: Scheduling Appointments

This guide presents the different factions of the UL Lafayette Special Collections at Edith Garland Dupre Library.
Comparison of Elliptic Envelope Method and Isolation Forest Method on Imbalance Dataset

The problem of unbalanced data is important in the field of Data Mining. Dataset with unbalanced classes is a dataset whose frequency of occurrence of certain classes is very much different from other classes. This imbalance problem will bias the classifier's performance. Many researchers have examined both the development of algorithms and modifications to the preprocessing stage to overcome this problem. This study discusses the comparison of One Class Classification algorithms, namely Elliptic Envelope and Isolation Forest on unbalanced data. From this study, the Elliptic Envelope Method showed better results compared to the Isolation Forest method with 80.28% recall testing and 80.28% precision while Isolation Forest showed 46.95% recall results and 46.95% precision.
Evaluating the Memorability of Different Password Creation Strategies : A Systematic Literature Review

Due to its simplicity and deployability, password authentication is today's most common way of authentication. In conjunction with increasing numbers of accounts per user, the amount of passwords t ...
Large-Sample Theory

In this chapter, we discuss large sample theory that can be applied under conditions that are quite likely to be met in large samples even when the Gauss–Markov conditions are broken. There are two reasons for using large sample theory. First, there may be some problems that corrupt our estimators in small samples but tends to diminish down as the sample gets bigger. Thus, if we cannot get a perfect small sample estimator, we will usually want to choose the one that will be best in large samples. Second, in some circumstances, the theory used to derive the properties of estimators in small samples just does not work, and working out the properties of the estimators can be impossible. This makes it very hard to choose between alternative estimators. In these circumstances we judge different estimators on their “large sample properties” because their “small (or finite) sample properties” are unknown.
Petrology and Geochemistry of Noor abad ophiolite (Lorestan province, west Iran): an evidence of intra-oceanic subduction

The Noorabad ophiolite is part of Kermanshah ophiolites in NW of Lorestan province, west Iran.The Kermanshah ophiolite complex with NW-SE trending is located in the SSW of the main Zagros thrust fault within the high Zagros zone.Rocks of the Noorabad ophiolite include diabases dikes, basalts lava and andesite that outcropped in the south of the Noorabad.These rocks are intensly altered and fractured that led to hydrothermal alteration and replacement of primary minerals such as pyroxene, plagioclase and opaque minerals by secondary minerals.Based on geochemical studies, the rocks of this area have tholeiitic and calc-alkaline signature.Also the plotted rock samples in geochemical discrimination diagrams, occur in island arc basalt (IAB) field.These rocks show depletion in HREE and HFSE and also are enriched in LILE and LREE.These patterns suggest that these rocks formed in intra-oceanic subduction zone.These geochemical characteristics along with comparison with other ophiolitic rocks in east Mediterranean reveal a subduction zone environment for genesis of the intermediate and mafic rocks of the Noorabad ophiolite.
The Peculiarity of Digital Technologies Application in Teaching Prospective Journalists

The article is devoted to identifying the features of using digital technologies in the educational process for training future journalists. Based on the analysis of the educational practice of Russian universities and the theory of digital education, the specifics of creating and applying a digital educational environment in the conditions of training future specialists in the media sphere are determined. The article substantiates the application of a two-stage model of digital education for journalism students based on the principle of a flexible combination of online and offline education based on the educational activity of students.