Reviewerly/exHarmony huggingface dataset:
Blockchain Based Cryptocurrency Transaction Data and Balance Anonymity Improvement

In recent time many investigations in blockchain based cryptocurrencies are directed toward improving users anonymity, untraceability and transferred sums anonymity. The solution to improve transaction balance anonymity of blockchain cryptocurrencies based on Unspent Transaction Output (UTXO) paradigm is presented. Transferred money sums are hidden by discrete exponent function (DEF). Then due to isomorphism property of DEF, hidden UTXO balance is computed and this balance can be approved by the validators in this hidden form. The security is based on the discrete logarithm problem (DLP) complexity.Cryptocurrencies are circulating in the peer-to-peer network and data can be represented by the vectors in certain linear space as it is in the general peer-to-peer network of nodes. To avoid pollution attacks and improve robustness of these general networks the signature based on idea to sign a linear subspace of transferred data for general content distribution among the nodes is created. The same idea is used in our proposed UTXO transactions anonymity improvement. Since transaction data composing a balance is represented by the vectors spanning certain linear subspace of some linear space, then this subspace is digitally signed by one-time (session) signature based on one-time (session) private and public keys generation. According to the original literature source the security of this signature relies on the DLP complexity.
Sustainability reporting and impression management: A case study in the oil and gas industry

Research Question: How are corporate narratives used to build and restore corporate legitimacy?Motivation: Under certain circumstances, managers may be motivated to control stakeholders' perception regarding organizational performance.As such, this study makes use of sustainability disclosures that were issued both prior and after a major incident in order to analyse the use of corporate narratives. Idea:The paper relies on the case of KazMunayGas International, with a view of analysing the evolution of the messages used in framing occupational safety issues. Data:The sustainability reports and corporate press releases issued by KMGI for the period 2015 and 2016 were explored.Tools: A manual content analysis was performed in order to evaluate the use of evaluations, repetitions and performance comparisons.Findings: A trend towards the use of positive evaluations of organizational performance was observed.Following the negative event, the use of several impression management strategies was documented.This reflected a general tendency to defend corporate legitimacy by favourably shaping the corporate image associated with occupational safety.
Video anomaly detection using deep generative models

Video anomaly detection faces three challenges: a) no explicit definition of abnormality; b) scarce labelled data and c) dependence on hand-crafted features. This thesis introduces novel detection systems using unsupervised generative models, which can address the first two challenges. By working directly on raw pixels, they also bypass the last.
A benchmark protocol for evaluating near duplicate detection performance

Nowadays, with the ease of use and effectiveness of image manipulation software, combined with the large number of photos published on the Internet, falsification and alteration of existing images are increasingly widespread operations. The task of searching for images which have undergone different types of alterations in a large data collection is called near duplicate detection and is now being applied in a growing number of areas such as plagiarism, fraud prevention and forensic image identification. However, the study of algorithms that allow an ever more precise and efficient search for near duplicates is not always possible because of the scarcity of appropriately annotated benchmark collection. In particular for near duplicate detection it is important that the datasets address real world challenges, the pairs of near duplicates have been calculated and there is a huge number of images for which the absence of near duplicates was established. In this context, this thesis aims to create an evaluation protocol that allows to evaluate the performance of image descriptors for the near duplicate detection applied to the Mir-Flick Near-Duplicate (MFND) collection, a one million image dataset in which the groundtruth of near duplicate is already annotated and which meets all the requirements mentioned above. The proposed methodology estimate the performance of different descriptors using the Receiver Operating Curve (ROC), which is shown in literature to work analytically and experimentally for this class of problems, comparing the distances of the annotated near duplicates and the negative pairs, which must be the most difficult possible. For this reason, an analysis was performed to search for further near duplicates to add to the groundtruth and experiments were conducted to statistically understand the minimum size that a collection sub-sample must have to generate negative pairs that are difficult enough to provide comparable performances to those obtained in the whole collection. This last analysis was carried out with the aim of dividing MFND into training and validation set to provide a complete benchmark for anyone wishing to evaluate the performance of descriptors, including those based on deep learning, for the search for near duplicate images. Finally to show a real context use the methodology was also applied to an insurance company private dataset with the purpose to search near duplicate images aimed at carrying out fraud on the reported claims.
Studying the History of Temple Relief in Malang Using Textbooks Based on Augmented Reality

The history of classical Indonesian art, especially the Hindu-Buddhist era, has rarely been studied in universities. Teaching materials for the course of Indonesian art history are more focused on the material of Indonesian modern art history. Hindu-Buddhist temples from the Singosari and Majapahit era have high cultural values so that they are a source of cultural knowledge and have considerable cultural tourism potential. To attract students’ interest in learning the history of Hindu-Buddhist art, especially the history of Singosari relics in Malang, an interesting media is needed, which is textbooks based on Augmented Reality (AR). Textbooks are equipped with story relief drawings that are given markers so that when viewed using a smartphone with the AR application, the photographic images will turn into color illustration images with digital techniques. The purpose of writing this textbook in addition to increasing interest in learning the history of Indonesian art is also intended that students love Indonesian cultural heritage, especially temples in the Greater Malang area. This textbook is focused on presenting relief stories contained in temples in Malang. This research uses the historical and development methods, where the writing of the book is used the historical method, while the book design and AR application are used by the simplified Borg and Gall research and development method. The contents of the book consist of relief stories of the Anglingdarma Jago temple, relief stories Garudeya Kidal temple, reliefs non-stories from Singosari temple, Badut temple, and Sumberawan temple.
Submission to Parliamentary Joint Committee on Law Enforcement: Inquiry into law enforcement capabilities in relation to child exploitation

We welcome the opportunity to provide a written submission to the Parliamentary Joint Committee on Law Enforcement’s inquiry into law enforcement capabilities in relation to child exploitation. This submission is informed by the authors’ recently completed research into Boosting Crime Prevention and Crime Detection Capabilities of Online Investigators: A Script Analysis of Creation and Distribution of Child Exploitation Material, a research grant funded by the Australian Institute of Criminology as part of the Child Sexual Abuse Material Reduction Research Program.In various sections of this submission we draw on our research findings from this project including: a systematic review of crime commission processes in child sexual abuse material production and distribution (Cale, Holt, Leclerc, Singh, & Drew, 2021); a review assessing the challenges affecting the investigative methods to combat online child exploitation material offences (Holt, Cale, Leclerc, & Drew, 2020); a report examining how child sexual abuse material offenders operate on the Dark Web (Leclerc, Drew, Holt, & Cale, 2021a; Leclerc, Drew, Holt & Cale, 2021b), and a study providing evidence on training and support needed to combat child sexual exploitation online (Leclerc, Cale, Holt & Drew, in preparation).
THE FACTORS THAT INFLUENCING DECISION OF SCIENCE PROGRAM HIGH SCHOOL STUDENTS IN DETERMINING MANAGEMENT STUDY PROGRAM MAJOR (Case Study at STIE Ciputra Makassar)

The purpose of this study was to find out the factors that influence high school students in the science program to choose to study in the Management study program at STIE Ciputra Makassar. The population in this study were all new students of STIE Ciputra Makassar who at the time of high school were a science program but chose the Management study program. The number of samples that meet the criteria in this study are 72. The study was conducted in 2021 using a survey method by distributing questionnaires to respondents using a google form. The analytical tool used is the Chi Square Test. The results of the study conclude, the main factors that influence the respondents' decisions are: The first factor X2 wants to continue the family business, the second factor X3 wants to set up their own business, the third factor X6 wants to be a company manager, the fourth factor X7 is directed by parents/guardians, and fifth factor X8 wants to learn business management.Keywords: Factors, Choosing A Social Studies Study Program, High School
TRENDS OF EDUCATIONAL POLICY IN KAZAKHSTAN IN THE CONTEXT OF RESEARCH ACTIVITIES OF TEACHERS

This article discusses the extreme importance of peer educators participating in collaborative research, as it enhances professional dialogue and mutual risk, which gives educators the chance to “learn to learn” and explore why something works and doesn’t work in different contexts. Thus, the contribution of research to professional growth of the teacher is potentially very high for improving the quality of learning outcomes for students. It has been proven that the involvement of practitioners in research and their participation contributes to the successful improvement of the school in various ways: through the exchange of information on effective practice; involving practitioners in testing new ideas, implementing and monitoring.
The Determinants of Financial Performance of SACCOs in RWANDA: The Case of Gakenke District

This study examined different determinants of financial performance of SACCOs in Gakenke District in Rwanda.The study had an objective of to make an evaluation on whether determinants affect financial performance of SACCOs in Gakenke District.The hypothesis to be tested was that how different determinants affect financial performance of SACCOs.A sample of 63 employees out of 76 managers, accountants, loan officers and chairmen of BoD in SACCOs located in Gakenke District was considered .Simple random selection was considered based on purposive sampling technique.The study was both qualitative and quantitative in nature.Interviews, questionnaires and observations have been used to collect the required data.The collected data was presented using tables and pie charts.The findings were based on objectives of the study .The findings indicated that the majority of respondents agreed that different determinants affect financial performance of SACCOs.It is further revealed that many of SACCOs in Gakenke district do not use advertisement for product differentiation .Also the scope and coverage of SACCOs was limited to the employees in administration level only.The main conclusion was that there was overreliance on debts (deposits) financing when extra funds is needed by majority of SACCOs and SACCOs do not use their reserves to settle debts at maturity.The main recommendations of the study includes that the National Bank of Rwanda must avail enough fund for loan restructuring in order to reduce NPLs and increase the liquidity for SACCOs in order to increase the level of performance of SACCOs.Gakenke district should help the SACCOs in recovering debts and assist SACCOs to persuade borrowers to pay their debts and also depositors to increase their savings for better performance of SACCOs.The management of SACCOS must ensure that there is an adequate and strong credit committee and strong system of recovering of loans in order to increase their performance.
The Fourth Industrial Revolution and Legal Education

The legal world will change dramatically during the careers of students currently in law school. Innovations in science, technology, economics, business, political arrangements, and social structures will require different legal services and entirely different mechanisms for delivering those services. A “Fourth Industrial Revolution” (4IR) may describe the changes that are already beginning to occur. The first Industrial Revolution saw the use of steam power for production; the second, mass production and electrical power; and the third, semiconductors and the digital innovation. 4IR is riding on several developing technologies, including artificial intelligence (AI) and the massive data bases on which they run, an entirely new form of computation (likely “quantum computing”), blockchains, genetic editing and related biotechnology, 3-D printing, intelligent robots, energy storage, nanotechnology, and nearly universal interconnectivity of devices and people. These changes have significant implications for all parts of society, including law and the legal system. The professional practice of students who are now in law school will be affected dramatically by these changes, and these graduates will be expected to carry society’s burden of harnessing, encouraging, and finding legal controls to offer society the benefits of these new technologies while limiting the undesirable side effects. 4IR will have many positive effects on legal practice—making it more efficient, reducing the drudgery of repetitive activities, and creating whole new areas and types of practice. Many see it as a threat to the current economics of practice, and in some ways it will be. The recurring, repetitive practice will begin to disappear, done much cheaper and better by machines. Preparing students for that kind of practice is, therefore, problematic. Advanced technology will lead to a wide range of new and creative legal services, and allow the legal profession to create legal services (not lawyers) available for everyone who needs them. This article identifies 22 competencies that law schools need to consider in preparing students for professional practice and the task of seeing to the system of justice and law. This will require law schools to adjust the education of students and focus every part of the curriculum on those competencies. Law schools will also need to change their research missions, appoint full-time and adjunct faculty who will be experts in newer areas of teaching and scholarship, and make much better use of every part of their curriculum. The resistance of law schools to change is easily overstated. Change is usually more evolutionary than dramatic. The challenge now is that there is not enough time to slowly begin to prepare students for their professional life in the 4IR. The article concludes with several ideas about accelerating the process without crashing.
USING PICTURE SERIES TO IMPROVE STUDENTS’ VOCABULARY MASTERY AT SEVENTH GRADE OF MTs NEGERI TANJUNGPINANG

This research is about improving students' vocabulary mastery by using picture series at seventh grade of MTs Negeri Tanjungpinang. The type of this research was classroom action research (CAR). The subject of this research was seventh grade, especially the VII-6 Class of the academic year 2020-2021 The number of students in this class are 27 consist of 17 girls and 10 boys. The types of this research data were quantitative and qualitative. The instruments of this research were test (pre-test and post-test) and observation sheet. In the pre-test, the students who got the score of 70 or more were 9 of 27 students (33.3%). In the post-test I (cycle I), the students who got a score of 70 or more were 15 students of 27 students (55.6%). In the last test of post-test II (cycle II), the students who got a score of 70 or more were 21 students of 27 students (77.8%). Based on the results of the test from the pre-test, post-test I (cycle I) and post-test II (cycle II) the students showed an improvement from the first test to the last test. Therefore, it can be concluded that using picture series can improve students' vocabulary mastery.
Modeling Performance in Open-Domain Dialogue with PARADISE.

There has recently been an explosion of work on spoken dialogue systems, along with an increased interest in open-domain systems that engage in casual conversations on popular topics such as movies, books and music. These systems aim to socially engage, entertain, and even empathize with their users. Since the achievement of such social goals is hard to measure, recent research has used dialogue length or human ratings as evaluation metrics, and developed methods for automatically calculating novel metrics, such as coherence, consistency, relevance and engagement. Here we develop a PARADISE model for predicting the performance of Athena, a dialogue system that has participated in thousands of conversations with real users, while competing as a finalist in the Alexa Prize. We use both user ratings and dialogue length as metrics for dialogue quality, and experiment with predicting these metrics using automatic features that are both system dependent and independent. Our goal is to learn a general objective function that can be used to optimize the dialogue choices of any Alexa Prize system in real time and evaluate its performance. Our best model for predicting user ratings gets an R$^2$ of .136 with a DistilBert model, and the best model for predicting length with system independent features gets an R$^2$ of .865, suggesting that conversation length may be a more reliable measure for automatic training of dialogue systems.
LibGuides: LSC 595 Summer 2021 Merchant Professional Field Experience: Reflection

This guide is created to document my PFE during Summer 2021 at the Winchester Public Library, MA
THE STUDENTS' ATTITUDE TOWARDS ENGLISH CLASSROOM SPEAKING ACTIVITIES AT SENIOR HIGH SCHOOL

English as a universal language is now provided in the school curriculum in Indonesia, which includes speaking skills with various classroom activities. However, some people take it for granted in which it is related to attitude. Students' attitude may affect language learning. Thus, it is an important matter if the students have positive or negative attitudes, including three aspects: affective, behavioral, and cognitive. Therefore, after knowing its importance, the researcher researched students' attitude towards English speaking activities in the classroom. To be exact, this research was aimed to describe students' attitudes towards English speaking activities in classrom in which the subjects of this research were tenth grade students of SMA Negeri 2 Banjarmasin with 87 students in total. In this case, the researcher used Descriptive method with qualitative and quantitative approach. In this case, this research used 5-point likert scale questionnaires, structured interviews, and 3 times observation. The result indicated that the students of SMA Negeri 2 Banjarmasin majorly had a positive attitude towards English speaking activities in the classroom, including the three aspects of attitude. Affectively, the students indicated their fondness and enthusiasm towards the English speaking activities in classroom. Behaviorally, they also indicated good behavior as they participated in the English classrom activities well. Cognitively, the students believed that English speaking activities were important and beneficial. In contrast, some students who had a negative attitude affectively, behaviorally, and cognitively indicated the opposite way. As suggestions, the teachers should prepare suitable learning strategies such as discussion, roleplay, or communication games due to the need of the various characteristic of students in the classroom regarding to their attitude.
The use of digital technologies in the professional training of bachelors of arts in the context of distance learning

In the context of a pandemic and the introduction of quarantine measures, the issue of proper organization of the educational process without interfering with the curriculum becomes especially relevant. Distance learning is a way to solve this problem, but for this type of learning to be effective, it is necessary to understand what digital technologies will help to master the educational program. Therefore, the purpose of the study was to identify which of the modern digital technologies are the most effective for distance learning and based on the analysis to develop a model of online training for Bachelor of Arts. The study applied an analysis, which helped to evaluate modern digital technologies in terms of efficiency for use in distance learning, and modelling, which helped to create an optimal learning model in terms of distance learning.
Rekayasa Balik Sistem Informasi Manajemen Administrasi Kelurahan (SIMLURAH)

Data and information are very important things in the current era of globalizationthis. Getting information needs to go through several processes, one of which isis to create an information system. Information systems are very importantimportant in supporting the existence of a government agency or non-governmentgovernment. Village Administration Management Information System(SIMLURAH) is an information system currently available for processingdata and information for the government, more precisely in the district of AbepuraJayapura. Every information system development requires the existence of adocumentation to support continuity and ease of processingdevelopment of existing information systems. Documentation of a systemis important. With the documentation, it can be moremake it easier for developers or software development to dodevelopment of the system itself. For now from the information system thatthere is for the Abepura Jayapura district there is no documentation yet soif there are parties who want to develop experiencing difficulties, they mustanalyze every line of code. Before carrying out the reengineering process(re-engineering) at SIMLURAH it is necessary to carry out a reverse engineering processengineering)Based on the existing problems, the author makes Engineeringback from SIMLURAH to document from the current systemin the form of diagrams - diagrams standard UML (Unified Modeling Language).The final result of this research is Software Requirement Specification(SRS), UML diagrams and recommendations for improvement forfurther system development. So that it can be used as a reference formake improvements from the current system to become a system thateven better.Keywords: SIMLURAH, reverse engineering, Unified Modeling Language(UML), Software Requirements Specification (SRS),