Reviewerly/exHarmony huggingface dataset:
Forsage: Anatomy of a Smart-Contract Pyramid Scheme

Pyramid schemes are investment scams in which top-level participants in a hierarchical network recruit and profit from an expanding base of defrauded newer participants. They have existed for over a century, but their historical opacity has prevented in-depth studies. This paper presents an empirical study of Forsage, a smart-contract-based pyramid scheme with unprecedented transparency. Our study focuses on the period around 2020, when Forsage was one of the largest contracts (by gas usage) in Ethereum. In 2022, some months after initial release of this work, the U.S. SEC dubbed Forsage a "fraudulent crypto pyramid and Ponzi scheme" and filed charges against its creators and promoters. We quantify the (multi-million-dollar) gains of top-level participants as well as the losses of the vast majority (around 88%) of users. We analyze Forsage code both manually and using a purpose-built transaction simulator that we release as open source software to uncover the complex mechanics of the scheme. Through complementary study of promotional videos and social media, we show how Forsage promoters leveraged the unique features of smart contracts to lure users with false claims of trustworthiness and profitability, and how Forsage activity is concentrated within a small number of national communities. Our analysis is the most complete study of a pyramid scheme to date.
CONSERVATION BASED INTERACTIVE MULTIMEDIA DEVELOPMENT IN CLASS IV IPS CONTENTS

This research is aimed at developing adobe flash interactive multimedia based on conservation on the social studies subject in fourth graders of Purwoyoso 03 Elementary School. Based on pre-research data through interviews, observations, and documents, in Purwoyoso 03 Elementary School there are problems found in social studies learning related to limited learning media, students only utilize media in the form of images and daily objects like a map image without having any other supporting media. This type of research was Research and Development (RD (2) data collection; (3) product design; 4) design validation; (5) design revisions; (6) product trials; (7) product revisions; (8) trial use. The results showed that the development of adobe flash interactive multimedia based on conservation was very feasible; 82.81% feasibility of presentation by media experts, the eligibility of content by material experts at 96.87%, and the feasibility of language by linguists at 82.81%. The average difference test result using the t test showed the sig. (2-tailed) value is 0.000 <0.050 which means there were significant differences between the pretest and posttest learning outcomes. The average increase (N-gain) of the pretest and posttest result was 0.385 with moderate criteri The average difference test result using the t test showed the sig. (2-tailed) value is 0.000 <0.050 which means there were significant differences between the pretest and posttest learning outcomes. The average increase (N-gain) of the pretest and posttest result was 0.385 with moderate criteri The average difference test result using the t test showed the sig. (2-tailed) value is 0.000 <0.050 which means there were significant differences between the pretest and posttest learning outcomes. The average increase (N-gain) of the pretest and posttest result was 0.385 with moderate criteri.
Morphing Attack Detection using Laplace operator based features

The vulnerability of facial recognition systems through morphing attacks is a known problem. Since the first publication about this vulnerability of facial recognition systems, a variety of morphing attack detection methods have been presented, promising an automated detection of such fraudulent attacks. In this work, a new approach is presented attempting to distinguish bona fide from morphed images based on information about the edges in the image extracted by the Laplace operator. It can be demonstrated that the features employed contain information that can contribute to the detection of morphed face images.
LibGuides: I-Search Project for College & Careers: Career Pathway Websites & Databases

This LibGuide is designed to help English 12 students search for and discover information that is immediately useful concerning post-high school career pathways.
DI Library: Products & Materials (ID 510): Online

DI Library's recommended guide to books, ebooks, and websites for Products & Materials students, including considerations related to sustainability, diversity, equity, and inclusion DI Library's recommended websites and videos on sourcing and researching products and materials.
A Special Interest Group on Designed and Engineered Friction in Interaction

A lot of academic and industrial HCI work has focused on making interactions easier and less effortful. As the potential risks of optimising for effortlessness have crystallised in systems designed to take advantage of the way human attention and cognition works, academic researchers and industrial practitioners have wondered whether increasing the 'friction' in interactions, making them more effortful might make sense in some contexts. The goal of this special interest group is to provide a forum for researchers and practitioners to discuss and advance the theoretical underpinnings of designed friction, the relation of friction to other design paradigms, and to identify the domains and interaction flows that frictions might best suit. During the SIG, attendees will attempt to prioritise a set of research questions about frictions in HCI.
The Relationships Between Self-Efficacy, Managerial Competency and Learning Orientation on Job Performance Among Leaders in Saudi Universities: DOI: 10.46988/IJIHRM.01.01.2020.002

A modern competitive environment demands organizations to struggle more in order to sustain growth and be successful. Leadership is the most crucial factor affecting the triumph or defeat of an organization. The meaning of leadership has changed a lot in the last ten years. Therefore, this study was to investigate the relationship between self-efficacy and job performance of the Saudi university’s leaders. For this purpose, data has been collected from 25 universities and analyzed by Smart-PLS Structural educational modeling. Results showed that university leadership's work performance had been numerously thought about in it; further to this, it tended to the hypothetical space by combining enterprising leadership as a critical intervening parameter. Current investigation has additionally figured out how to measure the influence of dynamic conditions in the connection between the extrinsic and intrinsic factors.
The Content, Essence of the Technology of Modeling the System of Vocational Training in Higher Educational Institutions

In this article, the formation of the culture of modeling of professional activities of students in higher educational institutions, the deepening of pedagogical professional knowledge and skills on the basis of state requirements, the use of innovative technologies in the process of updating and modeling the educational and educational process to find the content of modern knowledge and skills.
An Analysis of Library Electronic User Satisfaction Using Slims in GKJ Synode with Qualitative Descriptive Method

This research aims to:1) Knowing satisfaction of electronic library users using SLiMS at the GKJ Synod with a qualitative descriptive method.2) Knowing the obstacles faced in implementing SLiMS at the GKJ Synod with a qualitative descriptive method. This research is a type of field research (field research)descriptive. The results showed that:1) System quality satisfaction, namely SLiMS facilitates the work of librarians in managing libraries automatically and helps librarians work; 2) Information quality satisfaction, namely SLiMS is very easy to understand and understand by its users so that it does not take a long time to understand the contents of the information from SLiMS; 3) System usability satisfaction (perceived usefulness); namely SLiMS can complete work quickly and easily because SLiMS makes it easy to manage libraries; 4) Perceived ease of use, namely SLiMS is easy to obtain and easy to use because of its simplicity in appearance and the menus contained therein are quite easy to understand; and 5) Satisfaction of information systems (information systems satisfaction), that is, the output produced by SLiMS corresponds to what already exists in the form of report information that is usually needed in the library.
LibGuides: Music Resource Guide: Search Strategies

A guide from Funderburg Library on how to use library resources to do research for your music classes.
All Saints' College LibGuides: Research & Referencing: Images

A guide for students and staff on referencing, copyright, creative commons and more Referencing images from print or online sources
A Comparison of Domain-Specific and Open-Domain Image Caption Generation

With the recent development in the field of Artificial Intelligence, the demand of image captioning, generating image descriptions, has increased. It has become a very trending research topic in the field of deep learning which intersects the two famous domains of Computer Vision and NLP. There are many applications of such a system in the field of content based image retrieval, social media platforms, bio-medicine and crime detection. In this paper, the various approaches which has been used for the purpose of captioning generation have been discussed. A Web-based application has been also developed as part of the work for this pa-per which takes image as input and predict the caption of the image. The different trained models can be selected for a particular target image at the same time to predict corresponding captions. The domain-specific and open-domain trained models have been explored on the evaluation parameter of Bilingual Evaluation Understudy (BLEU) score metric.
Multi-dimensional Wavelets on Sobolev Spaces

‎In this paper‎, ‎for admissible and integrable function $psi$ in $L^2(mathbb{R}^n)$‎, ‎the multi-dimensional continuous wavelet transform on Sobolev spaces is defined‎. ‎The inversion formula for this transform on Sobolev spaces is established and as a result it is concluded that there is an isometry of Sobolev spaces $H_s(mathbb{R}^n)$ into $H_{0,s}(mathbb{R}^n times mathbb{R}^+_0times S^{n-1})$‎, ‎for arbitrary real $s$‎. ‎Also‎, ‎among other things‎, ‎it is shown that the range of this transform is a reproducing kernel Hilbert space and the reproducing kernel is found‎.
A Hybrid Cryptographic Scheme of Modified Vigenère Cipher using Randomized Approach for Enhancing Data Security

Vigenère cipher is an ancient elementary method that uses a series of Caesar shifting for encrypting plaintext to ciphertext protecting it from adversaries.However, a frequency analysis attack is vulnerable in this type of cipher technique.This paper aims to enhance the security of the Vigenère cipher in a hybrid cryptosystem using a randomized approach including pseudorandom substitution, rearranging, padding, etc.In this approach, a complex key generation algorithm is used that generates a pair of subkeys from an input key.One of the subkeys, Subkey1 is used to generate an intermediate ciphertext.The other key, Subkey2 is used to further scramble the ciphertext.The slightest change in the input symmetric key produces an entirely different key pair.Hence, different encrypted results.It also increases the ranges of characters that Vigenère cipher can encrypt by including all ASCII and extended ASCII.Finally, the symmetric key is encrypted with the public key of RSA solving the key distribution problem of the symmetric cipher.This enhanced and modified Vigenère cipher in the hybrid cryptosystem overcomes all limitations of classical cipher and acts as a bridge between classical and modern cryptography.
On the acoustic unit choice for the keyword spotting problem

In this paper we examine the results of using different acoustic units for the building of keyword spotting system. The choice of the acoustic unit greatly influences the quality of the resulting system given the dataset and the model complexity. Decomposing the keyword into simple acoustic units requires the prior knowledge. This knowledge might make the task easier (so the resulting accuracy will be higher), but on the other hand even slightly incorrect priors could mislead the model so the quality might drop significantly. We compare using phonemes, syllables, words and several synthetic acoustic units for Russian language. We show that for modern keyword spotting systems phonemes is a robust and high quality choice, especially in low-resource setting.
Women in the professional labor market of Russian university teachers

The article analyzes the situation of women in the professional labor market of university teachers in the context of modernization of higher education. The main trends in the transformation of the higher school personnel in Russia are distinguished taking into account gender factors. The dynamics of indicators characterizing the number and professional and qualification characteristics of teachers in Russian universities are presented and the gender structure of university research and pedagogical staff is analyzed. Based on the results of sociological studies, including a survey, conducted independently by the authors, the following indicators have studied: dynamics of working conditions, organization of the educational process and professional motivation of women teachers. The authors propose a model for segmenting the labor market of women teachers, in which the main criteria are labor efficiency and the competitiveness of women teachers. The objective and subjective factors causing the emergence of gender disparities in the higher-education teaching personnel, as well as the causes of unequal access
Performance comparison of two class boosted decision tree snd two class decision forest algorithms in predicting fake job postings

During the Corona Virus Disease 2019 (COVID 19) period, online activities have become a necessary thing in everyone's life. However,in electronic recruitment, fake job postings have been started by scammers to get people's personal information and scam purposes. Many businesses prefer to post their vacancies electronically so that job applicants can access them quickly and timely. But this purpose may be one form of scam on the part of the fraud individuals because they give job applicants during terms of taking money from them or collecting their personal information for involving in cybercrimes. Fake job posting advertisements can be written against a reputable firm for breaching its reputation. The fraudulent post-detection work draws proper attention to obtaining an automated tool to identify fake jobs and report them to people to avoid applying for such situations. At present, many machine learning algorithms have been used to detect such fraudulent posts. But, the performance of such algorithms to be measured and compared to find a proper algorithm to incorporate in identifying fake things. In this research, the use of a proposed model with the help of Microsoft Azure Machine Learning Studio tested a comparison study on the performance of a two-class boosted decision tree and two-class decision forest algorithms. Researchers used F1 Score, Recall. Accuracy and precision to compare those two algorithms. Results showed that a two-class boosted decision tree is better for detecting fake job posts than the two-class forest decision algorithm. Thus, a two-class decision forest algorithm can be used to find and identify false or gossip messages, tweets, and social media publications. © 2021, Annals of R.S.C.B. All rights reserved.
GPRC Learning Commons: Reading Critically and Evaluating Sources: Online Sources

Learn how to critically read and evaluate the sources you would like to use in your research.
한국어교육 전공 외국인 대학원생의 학습경험과 직업적 정체성에 관한 연구

This study aims to draw implications for the preliminary Korean language teacher education plan for foreign graduate students by exploring their Korean language and graduate school learning experiences, and aspects of forming their professional identity as Korean teachers. Foreign graduate students who learn Korean as a second language and major in Korean language education at graduate school experience a combination of changes in the second language self and the formation of identity as a pre-service teacher through graduate courses. How these changes affect the formation of self-awareness and ideal language teacher images are largely individual differences and require qualitative exploration. This study's participants are 13 foreign graduate students of various nationalities attending the general graduate schools and graduate schools of education in Korea. The analysis data are self-assessment questionnaire and in-depth interview data. Based on these data, past Korean language learning experiences, current learning experiences in graduate schools, and the formation of self-image as a future teacher of the participants are analyzed. Finally, the ways to improve education for foreign graduate students as preliminary Korean language teacher are proposed.(Seoul National University)
A Deep Learning Solution to Detect Text-Types Using a Convolutional Neural Network

Text-type detection of a document is an essential pre-processing step in the implementations of many document-processing solutions, such as optical character recognition (OCR) and machine translation. Specifically, text-type detection research for Bangla is very rare, with only a handful of solutions ever reported in the literature. In this paper, we present a lightweight, small footprint convolutional neural network, which detects handwritten and printed types of content directly from scanned mixed-type document images. The proposed model achieves 99.82% recognition accuracy for this specific two-type classification problem.
Simulation of Colour Image Processing Techniques on Verilog

This paper deals with color image processing technique. Different image parameters are controlled by different mathematical functions. The processing using Verilog has an advantage of rapidity then reconfigurability over system processing, precisely essential for image filtering operation. The purpose is to process the image using Threshold functionality, Blueness performance and input. Fast actions and effective simulation have been measured though manipulative the algorithm. The simulation is passed out by establishing an association between MATLAB and Hardware Descriptive Language (HDL). Displayed result shows the accuracy of the image Brightness, Threshold and Invert operation.
GPRC Learning Commons: Reading Critically and Evaluating Sources: Peer-Reviewed & Scholarly Sources

Learn how to critically read and evaluate the sources you would like to use in your research.
A Competent Approach in Primary Classes

In this article in the framework of the competence approach deals with such issues as the specifics of the lesson, as the openness of teachers to learning activities, self-determination, the presence of debate, characterized by different views on the issues to be studied, their comparison, search the true perspective, the personal development, the student's ability to design future activities.
LibGuides: Curriculum and Instructional Studies: Reference sources

This guide will help students to access information resources on curriculum and instructional studies
Associação de Bibliotecários: em busca de uma classe profissional mais fortalecida no estado de Minas Gerais

The associative movement directed to Librarianship has been strengthening in Brazil, especially by providing training to librarians, therefore guaranteeing the strengthening of the area over time, especially in the face of the unstable and competitive context promoted by globalization and intensified use of digital technologies. This article reveals the main purposes, projects and actions developed by the Association of Librarians of Minas Gerais, in order to reinforce the potential of associations of librarians within the scope of Brazilian states. Characterized as an experience report, in addition to a brief theoretical foundation, the text also addresses what this association has accomplished over the past two years (2018 and 2019), highlighting mainly the results achieved and what they represent for strengthening the area. Based on experiences, challenges and achievements, it was possible to affirm that the strengthening of the area is achieved, through the various activities that a professional association can offer, such as: training professionals, stimulating culture and leisure, exchanging experiences and opportunities to recognize the profession's potential. To achieve these activities, no novelty or anything very complex is required, but simple actions, such as: offering courses, different events and social projects.
Review on detection of phishing attacks using machine learning algorithms

Internet users can access the internet from any location around the globe. Internet provides access to communication services such as world wide web, email. Internet is more prone to attacks Due to increased internet usage the cyber-attacks are also increasing. Different types of attacks include Malware, Denial of Service, SQL injection, Man in the middle, Password attacks. This has been an enormous threat for an average internet user who is not well versed technically or is not aware of these attacks. The most common attack is the Phishing attack. Phishing is a variant of cyber-crime or cyber-attack, which exploits social engineering attack techniques to perform fraud and has an adverse effect on people where the user is directed to reveal their sensitive and private information which includes sensitive data of accounts, details about the bank account, and also card details such as pin number, CVV number, etc. Hence securing sensitive data from phishers or web phishing is a tedious task. Technology is essential to provide the organization the tools to provide security to shield from cyber-attacks. Machine learning has become an important part of information technology for cybersecurity. Machine learning pre-emptively stamps out cyber threats and bolsters security infrastructure through pattern detection, real-time cybercrime mapping, which has shown solutions in recent times in opposing phishing pages when distinguished with visualization, legal solutions, including awareness work-shops, and classic anti-phishing approaches. In this survey, various techniques are adopted which includes Machine learning and Deep learning techniques are used to derive different kinds of anti-phishing tools. This survey helps to know about different methods to detect and prevent phishing attacks.
Modelling and forecasting of web traffic using Holt's linear, bats and TBATS models

In the recent era, internet consumption has increased. Due to this heavy and regular use of internet web traffic is increased. Sometimes due to high web traffic server may also affect. In this study, cumulative data on the number of visitors to Wikipedia, Facebook, Energy, Android, and Apple, are analyzed in detail. Some descriptive statistics of visitor’s pages in Wikipedia are given such as mean, minimum, maximum, standard deviation, skewness and kurtosis. The present study used different time series models like Holt’s Linear Trend, BATS and TBATS for different web pages. From the results, it was found that the Android page as well as apple page in Wikipedia holt’s Linear Trend model performance is better compared to other models. This kind of projection is helpful for web traffic to solve the server breakdown problem for larger users of the server. These Wikipedia pages have been chosen to Forecast the number of visitors to these pages through time series models BATS, TBATS, and Holt's Linear Trend Model in order to face future problems to mitigate over loading that may occur with the increase in the number of visitors to these pages and also to experiment the suitability of these models of Time series to Forecast the number of visitors and that to achieve the highest level of accuracy. MAPE for accuracy was used to compare model performance.