Reviewerly/exHarmony huggingface dataset:
Delineation of alteration zones based on artificial neural networks and concentration-volume fractal methods in the hypogene zone of porphyry copper-gold deposit, Masjed-Daghi, East Azerbaijan Province, Iran

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of the Artificial Neural Networks (ANNs) technique in ore grade estimation. Different training algorithms and numbers of hidden neurons are applied to estimate Cu grade of borehole data in the hypogene zone of porphyry copper-gold deposit, Masjed-Daghi, East Azerbaijan Province (Iran). The efficacy of ANNs in function-learning and estimation is compared with ordinary kriging (OK). As the kriging algorithms smooth the data, their applicability in the pre-processing of data for fractal analysis is not conducive. ANNs can be introduced as an alternative for this kind of problem. Secondly, we aim to delineate the potassic and phyllic alteration regions in the hypogene zone of Cu-Au porphyry deposit based on the estimation obtained by the ANNs and OK methods, and utilize the Concentration-Volume (C-V) fractal model. In this regard, at first, C-V log-log is generated based on the ANN results. The plots are then used to determine the Cu threshold values for the alteration zones. To investigate the correlation between the geological model and C-V fractal results, the log ratio matrix is applied. The results obtained show that Cu values less than 0.38% from ANNs have more overlapped voxels with phyllic alteration zone by an overall accuracy of 0.72. Spatial correlation between the potassic alteration zones resulting from 3D geological modeling and high concentration zones in C-V fractal model show that Cu values greater than 0.38% have more voxels overlapped with the potassic alteration zone by an overall accuracy of 0.76. Generally, the results obtained show that a combination of the ANNs and C-V fractal methods can be a suitable and robust tool for quantitative modeling of alteration zones instead of the qualitative methods.
Finding and Using Design Information in Discussions

A software system's design determines many of its properties. An understanding of design is needed to maintain system properties as changes to the system are made. When developers lose track of the overall design, the system may not conform to its intended properties. I hypothesize that it is possible to solve the problems of design evaporation and erosion by recovering design information from written developer discussions and by leveraging the recovered information to help developers make better decisions. As part of investigating this hypothesis, I have built an automated classifier that is able to locate design information in discussions, at the paragraph level, by learning from manual annotations of discussions extracted from open source pull requests. I next plan to extract and represent the design information from the identified paragraphs and to show the usefulness of the information by creating tools to help notify developers of design information relevant to a task at hand.
Open Sourcing Normative Assumptions on Privacy and Other Moral Values in Blockchain Applications

The moral significance of blockchain technologies is a highly debated and polarised topic, ranging from accusations that cryptocurrencies are tools serving only nefarious purposes such as cybercrime and money laundering, to the assessment of blockchain technology as an enabler for revolutionary positive social transformations of all kinds. Such technological determinism, however, hardly provides insights of sufficient depth on the moral significance of blockchain technology. This thesis argues rather, that very much like the cryptographic tools before them, blockchains develop in a constant feedback loop. Blockchain applications are driven by values, normative assumptions, and personal commitments of researchers, which shape moral effects of technology. At the same time these very assumption are often embedded in preexisting moral conception and ethical theories, implicitly or explicitly accepted by blockchain developers. And just as the introduction of one flawed element in the cryptographic application can have mass scale effects, the introduction of flawed normative assumptions can have far reaching consequences in blockchain applications.
A re-analysis on the effects of foreign language school

본 연구에서는 한국교육고용패널 1~4차 연도 종단 자료를 기반으로 언어, 수리, 외국어 영역에서의수능 학업 성취를 중심으로 외고의 학교효과와 그 효과의 이질성에 대해 검토해 보았다. 외고 학생에대한 사전 학업 성취도가 결측된 상황에서 가능한 선택 편의를 최소화하기 위해 중학교 내신 수준이상위권에 해당하는 일반고 학생들을 선별, 상위 5~30%까지의 수준별 통제군을 구성하여 각각의 통제군과 비교한 외고 효과를 추정, 그 변화를 검토하였다. 또한 외고가 귀족학교로서 고등학교 체제의수평적 계층화에 기여해 왔다는 비판을 검토하기 위해, 이러한 외고 효과가 학생의 개인, 가정, 학교배경에 따라 이질적으로 나타나는지 상호작용분석을 통해 검증하였다. 그 주요 결과는 다음과 같다. 첫째, 같은 자료를 활용한 선행 연구들과 마찬가지로, 평균적인 일반고 학생과 비교하였을 때 언어, 수리, 외국어 전 영역에 걸쳐 개인, 가정, 학교 배경 및 과정 변인을 통제한 후에도 외고 효과가 상당한 것으로 나타났다. 둘째, 선택 편의를 최소화하기 위해 중학교 내신 수준이 상위권인 일반고 학생과 비교하였을 경우, 외고 효과가 다소 감소하는 것으로 나타났고, 특히 중학교 내신 최상위권인 일반고 학생과 비교했을 경우, 외고 효과가 대폭으로 감소하는 것으로 나타났다. 이러한 외고 효과는 수능 영역에 따라 다소 다른 양상을 보였는데, 언어 영역에서의 외고 학생의 성취는 내신 상위25%의중학생이 일반고에 진학한 후 얻은 수능 성취와 유사하였고, 수리, 외국어 영역의 경우 외고 학생의수능 성취는 중학교 내신 상위 5~8% 이상인 일반고 학생의 수능 성취와 상응하였다. 셋째, 이러한 외고 효과는 학생의 사회, 경제적 배경에 따라 이질적으로 나타났는데, 특히 수리 영역에서 사교육비 지출 수준이 높거나 가구 소득이 높은 가정의 학생에게, 외국어 영역에서 부모의 학력(4년제 대학)이높은 가정의 학생들에게 유리하게 작용하였다.Using the Korean Education and Employment Panel(1~4 waves), this study examined the effects of foreign language school(FLS) participation and its heterogeneous effects on students’ performance on reading, math, and foreign language on the College Scholastic Ability Test(CSAT). To address missing data on FLS students’ previous achievement and reduce potential selection bias, this study constructed various control groups based on general high school(GHS) students’ previous achievement(drawing from the top 5~30%). Then, the study examined estimates on the effect of FLS and changes across comparisons. Furthermore, to address critiques on FLS as an elite school environment, the study examined its heterogeneous effects across student, family, and school backgrounds through interaction analyses. The study resulted in three key findings. First, this study found that FLS students had higher levels of achievement than average GHS students, even after accounting for all relevant covariates, thus confirming findings from prior studies. Second, this study compared FLS students with GHS students who were high achieving during their middle school years in order to control for potential selection bias. As a result, the effect size was fairly reduced overall, and was especially reduced when comparing with even higher achievers during middle school. However, FLS effects varied across CSAT subjects. In reading, FLS students’ achievement was comparable to that of GHS students who were above 75%(top 25%) during middle school, while their math and foreign language achievements were comparable to GHS students above 92~95%(top 5~8%) during middle school. Third, this study found FLS’ heterogeneous effects across students’ socio-economic backgrounds. In particular, FLS students from higher income families or families who could afford the higher costs of private tutoring had higher levels of math achievement, while those with higher levels of parental education achieved higher scores on the foreign language CSAT.
Distributed Ledger Technology and Cyber-Physical Systems. Multi-agent Systems. Concepts and Trends

This paper describes how Distributed Ledger Technologies can be used to enforce smart contracts and to organize the behavior of multi-agents trying to access a different resource. The first part of the paper analyses the advantages and disadvantages of using Distributed Ledger Technologies architectures to implement certain Cyber-Physical and Control Systems. The second part propose perspective applications of Distributed Ledger Technologies in Cyber-Physical Systems.
Asymmetric Multiple-image Encryption using Multistage Gyrator Transform

we propose a novel asymmetric multiple-image encryption method using multistage gyrator transform (GT). Numerical simulation results demonstrate the validity of the proposed method. Private keys greatly increase the security of encryption system.
Finding a Nash Equilibrium Is No Easier Than Breaking Fiat-Shamir.

The Fiat-Shamir heuristic transforms a public-coin interactive proof into a non-interactive argument, by replacing the verifier with a cryptographic hash function that is applied to the protocol’s transcript. Constructing hash functions for which this transformation is sound is a central and long-standing open question in cryptography. We show that solving the END−OF−METERED−LINE problem is no easier than breaking the soundness of the Fiat-Shamir transformation when applied to the sumcheck protocol. In particular, if the transformed protocol is sound, then any hard problem in #P gives rise to a hard distribution in the class CLS, which is contained in PPAD. Our result opens up the possibility of sampling moderately-sized games for which it is hard to find a Nash equilibrium, by reducing the inversion of appropriately chosen one-way functions to #SAT. Our main technical contribution is a stateful incrementally verifiable procedure that, given a SAT instance over n variables, counts the number of satisfying assignments. This is accomplished via an exponential sequence of small steps, each computable in time poly(n). Incremental verifiability means that each intermediate state includes a sumcheck-based proof of its correctness, and the proof can be updated and verified in time poly(n).
Tindakan vandalisme di Perpustakaan Fakultas Ilmu Komunikasi Universitas Padjadjaran

The library is prone to vandalism towards library collections. The Faculty of Communication Sciences library as a university library often experiences vandalism, ranging from labeling, tearing up, page folding, delay in returning books, and loss of books. This study aimed to determine the cognitive aspects of the sub-variables of knowledge and understanding of users on the act of vandalism in the Library of the Faculty of Communication Sciences, Padjadjaran University. The research method used descriptive survey method through a quantitative approach. This study included 121 respondents consisting of students of Faculty of Communication Sciences, class of 2015 who were selected using simple random sampling technique with distribution of respondent composition: Public Relations 10 respondents, Communication Sciences 47 respondents, Information and Library Science 22 respondents, Journalism 16 respondents, Communication Management 18 respondents, and TV and Film 8 respondents. Study results showed that the cognitive aspects of the users in the act of vandalism were in the category of high and favorable, the users had knowledge and understanding which supported according to the statement about the attitude proposed against acts of vandalism. Based on knowledge indicators, data obtained showed respondents did not agree with vandalism act, while based on the indicators of understanding, data obtained showed respondents agree that vandalism could harm the library users. Overall, the attitude of users is in the favorable category meaning that library users support disagreement on vandalism in the Library of the Faculty of Communication Sciences, Padjadjaran University.
THEORETICAL AND PRACTICAL ASPECTS OF FORMING MEDIA AND INFORMATION LITERACY OF A SCHOOL GRADUATE

The article discusses the general characteristics of the concept of “media information literacy” and its components. The content of the methodological developments aimed at the formation of various components of media information literacy is analyzed, the possibility of their inclusion in the programs of classwork and extracurricular activities in informatics and mathematics is discussed. The results of the extracurricular activities aimed at the formation of one of the components of media information literacy — security in the information and media environment are presented.
Improved Ghost Worker Fraud Detection System Using Artificial Neural Network

Payroll fraud has been identified as one of the major problems in Nigeria’s civil service sector and it is considered as a huge drain to the economy. Over 40% of the government total recurrent expenditure is channeled to personnel cost, and ghost workers milks a large portion of this recurrent expenses. The primary aim of this work is to design and implement an improved fraud detection system for ghost workers using artificial neural network. The methodology adopted was a forensic analysis using an artificial neural network model and measuring the rules whose weight of computation to fire an artificial neural network model and further analysis and design using software development life cycle for payroll design architecture was used. Microsoft Visual Studio 2010 tools for web application which contains C# programming language, HTML, CSS, SQL server and JavaScript was used to implement the application development. The results showed web pages with a dataset of transactions to check for fraud among civil service employees and classification of the staff payroll transaction data by the trained model which detects whether a staff is a ghost worker or not. However, this forensic model application will help all department of the civil service commission to reduce the rate of fraud that is rampant in almost all the ministries of the federal republic of Nigeria and to sustain national development.
The Use Of Jargon Terms In Online Shop Instagram

The aim of research is to analyze the use of jargon terms in online shop Instagram. Jargon is a word that is commonly used and understood by certain groups. The Qualitative method was used to analyze data by using theory of Yule (2010). The data were taken from the comments and captions in online shop Instagram. The used of this jargon are making easy communication and giving understanding between buyers and sellers or between speakers and listeners. The results of the study are 40 words found in online shop Instagram. They are 5 of jargon form, which consist of: 14 compounding words, 12 abbreviations, 6 clippings. 5 derivations, and 3 blendings.Keywords: Jargon, Instagram online shop.
Depth Limitation and Splitting Criteria Optimization on Random Forest for Efficient Human Activity Classification

Random Forest (RF) is known as one of the best classifiers in many fields.They are parallelizable, fast to train and to predict, robust to outlier, handle unbalanced data, have low bias, and moderate variance.Apart from these advantages, there are still opportunities to increase RF efficiency.The absence of recommendations regarding the number of trees involved in RF ensembles could make the number of trees very large.This can increase the computational complexity of RF.Recommendations for not pruning the decision tree further aggravates the condition.This research attempts to build an efficient RF ensemble while maintaining its accuracy, especially in problem activity.Data collection is performed using an accelerometer sensor on a smartphone device.The data used in this research are collected from five peoples who perform 11 different activities.Each activity is carried out five times to enrich the data.This study uses two steps to improve the efficiency of the classification of the activity: 1) Optimal splitting criteria for activity classification, 2) Measured pruning to limit the tree depth in RF ensemble.The first method in this study can be applied to determine the splitting criteria that are most suitable for the classification problem of activities using Random Forest.In this case, the decision model built using the Gini Index can produce the highest accuracy.The second method proposed in this research successfully builds less complex pruned-tree without reducing its classification accuracy.The research results showed that the method applied to the Random Forest in this study was able to produce a decision model that was simple but yet accurate to classify activity.
Isolated Arabic Characters Recognition Using a Robust Method Against Noise and Scaling Based on the «Hough Transform»

This work proposes a new approach based on the «Hough Transform» to feature extraction for isolated Arabic characters. The new approach supports multiple fonts and is resistant to noise, scaling, and translation. It is consists first in detecting loops and points in the structure of the entered Arabic character, and classifying it accordingly. Then the «Hough Transform» is used to detect the longest lines in the character structure, in different directions, and according to a well-chosen threshold. Afterwards, we have made improvements to this method, by introducing another threshold to consider also the shortest lines in the character structure. A recognition rate of 99% has been achieved for the recognition of Arabic characters written with fonts that have already been learned in the learning phase, and a remarkable rate for characters written with other fonts than those used in the learning phase. It was verified by many tests that the method is invariant by translation, that it is not too much affected by the noise and scaling.
Control Flow Integrity Based on Controlled Channel

By ensuring the Control Flow Integrity (CFI) of a program, one can successfully verify that each performed action is indeed part of a correct execution flow thus preventing unwanted behaviour caused by malicious inputs. Validating the Control Flow Graph (CFG) is usually done by instrumenting the code and enforcing a set of conditions which imply overhead and compiler support. In this paper, we investigate an alternative approach, based on controlled-channel: by invalidating certain pages and monitoring the Page Faults, we generate a CFG of faulting instructions which we use to detect unusual execution flows (e.g. buffer overflows, ROP) and discuss methods to estimate and mitigate the induced overhead. Using the page invalidation selection algorithms that we propose, we obtain an approximate slowdown factor of 3.43. This can be further reduced by doing a manual analysis of the involved binaries and sacrificing accuracy for speed.
MENINGKATKAN KEMAMPUAN GURU KELAS MELAKSANAKAN PEMBELAJARAN PAKEM MELALUI KEGIATAN LESSON STUDY DI SD BINAAN KECAMATAN PASIR PENYU

This research is motivated by the still weak ability of class teachers in carrying out classroom learning. The purpose of this research is to increase the ability of teachers to carry out classroom learning. The model used in this study is Lesson Study. This research was carried out in a built elementary school located in Pasir Penyu District. The design of this study uses school action research which consists of 2 cycles. The results of the research on the ability of teachers to carry out learning based on observations obtained an average score of 67 in the category C (Enough) / Not Completed in Cycles I and 73 were in category B (Good) / Completed in Cycle II. There was an increase in the average score by 6 points from Cycle I to Cycle II. With the results obtained, it can be said that with lesson study can improve the ability of teachers to carry out active, creative, effective, and enjoyable learning for the Elementary School teachers in Pasir Penyu District, Indragiri Hulu Regency.
The principles of justice as fairness in the publishing activities in the field of education

The results about the plagiarism problem are presented. The reasons for its distribution in and educational activities and ways of eradication are considered. Such root causes of this phenomenon as: loss of trust tradition in activity with updating authors; insensitivity to ethics of the modern authors grown up in the period of loyalty to plagiarism; commercialization of anti-plagiarism campaigns; weak motivation of authors to activity. The concept about fairness as honest by J. Rawls is proposed to substantiate the methodological approach to solving the problem of dishonesty in publishing, including plagiarism. With its help, the idea about forming of relationships system publishing-authors on the basis of the justice principles as honesty is substantiated. The approach to the formation of the ethical framework for relations in the chain publishing – authors – students – IT-managers – employers on the basis of the justice principles, such as: equality rights of the requirements about their own benefits, mutual honesty; ethical restrictions on actions, that harm those in the worst position, which are students-readers. The procedure of development and coordination of justice principles in activity with the help of the website of house is offered. These principles should be reflected in the ethical code of publishing.
EDUCATIONAL ROBOTICS: THE BASICS OF INTERACTION BETWEEN THE COACH AND THE TEAM

The article discusses the effective mechanisms of interaction between the coach and the team in preparing for robotic competitions. The theoretical aspects of such interaction are analyzed, a specific example of the preparation of the winning team to one of the robotic competitions and the interaction of the author of this article as a coach with a co-author — the team captain is given.
THE RECTOR’s H-INDEX AS A FACTOR OF DEVELOPMENT OF UNIVERSITY SCIENTIFIC CAPACITY

The strategic development of universities in the modern world is determined, among other things, by their scientific achievements. The purpose of this study was to classify the patterns between the h -index of a rector and the scientific potential of a university, expressed by the i -index. The sample consisted of 100 Russian universities. The results of the study are grouped into four types, connecting the characteristics of management at the university with the h-index of its rector: “rector-administrator”, “rector-manager”, “rector-authority”, “rector-researcher”. The two most common types in the sample were “rector-manager” and “rector-researcher”. In the first case, the h -index of a rector is lower than 10 points, and the i -index of a corresponding university is equal to or higher than 10 points. There are 40 such cases in the sample of 100. In the second case, the h -index of a rector is equal to or higher than 10 points, and the university’s i -index is also equal to or higher than 10 points. There are 41 such cases in the sample of 100. In 14 cases, the h -index of a rector is higher than the i -index of a corresponding university.
The Linked Open Data cloud is more abstract, flatter and less linked than you may think!

This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.
NorKorr - Norwegian Correspondences and Linked Open Data

Poster presentation at the conference Digital Humanities in the Nordic Countries 2019, Kobenhavn, 06.02. - 08.03.19, arranged by Digital Humanities in the Nordic Countries ( http://dig-hum-nord.eu/) .