Reviewerly/exHarmony huggingface dataset:
Working with Cache

Caching is one of the most important aspects in ensuring the scalability and responsiveness of the application. A good cache can take load off your database and can serve the user pretty fast. A framework that doesn't provide a good abstraction to work with cache is no longer fit for enterprise-class development. Play, with its in-built support for cache, is an ideal framework for building highly scalable, responsive, enterprise-class applications.
Transforming the legal education in the era of IR 4.0

The recent technological advances trigger the emergence of the Industry Revolution 4.0 (IR 4.0) which is very dynamic and progressive to the extent most of the major industries in the world have no option left but to transform the industry accordingly in order to adapt to the changes in the IR 4.0 era. Hence, this paper aims at exploring how the legal education offered at higher learning institutes can be transformed to be in line with the IR 4.0 in an efficient manner by maintain the quality. Tertiary education system should catch up with this progress to ensure that modern legal education would be fully modified and concurrent with it. So far, there is a significant delay in transforming legal educational services offered at universities, colleges and other higher learning institutes with regard to fields of study, subjects offered, teaching methods; assessment methods, among others. Despite the fact that it is complex, for the time being, to transform the legal education to be in line with the IR 4.0, it will benefit the society unprecedentedly for long run as it is the “game changer” of this era.
Blockchain and Investment: An Austrian Approach

Investment is a function of expected profit, which involves calculation of the cost of trust. Blockchain technology is a new institutional technology (Davidson et al 2018) that industrialises trust (Berg et al 2018). We therefore expect that the adoption of blockchain technology into the economy will affect investment and capital structure. Using a broad Austrian economic approach, we examine how blockchain technology will affect the cost of trust, patterns of investment, and economic institutions.
Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding

Embedding is widely used in most natural language processing. e.g., neural machine translation, text classification, text abstraction and sentiment analysis etc. Word-based embedding is faster and character-based embedding performs better. In this paper, we explore a way to combine these two embeddings to bridge the gap between word-based and character-based embedding in speed and performance. In the experiments and analysis of Hybrid Embedding, we found it’s difficult to make these two different embeddings generate the same embedding vector, but we still obtain a comparable result. According to the results of analysis, we explore a form of character-based embedding called Cached Embedding that can achieve almost the same performance and reduce the extra training time by almost half compared to character-based embedding.
MENINGKATKAN KETERAMPILAN BERBICARA DALAM MATERI PEMBELAJARAN REMEDIAL MELALUI METODE COMMUNITY LANGUAGE LEARNING (CLL)

This research is concerned about learning English which sometimes seems to frighten students in a class where they cannot express something with a sense of confidence. The reason students score poorly on English subjects is due to several aspects that students must understand: pronunciation, grammatical structure, vocabulary, and intonation. Community Language Learning (CLL) shows how effective and efficient English language must be taught. Thus, this study was reported qualitatively to observe how Community Language Learning (CLL) was able to improve students' speaking skills in remedial learning Materials for eighth grade students at SMP Nurul Jadid with a total of 26 students. Observation sheets and score assessment sheets are made to collect data in considering the names of students who have low grade criteria. Fluency, pronunciation, expression, vocabulary, and content are used as instruments to analyze their performance. The method of this research approach is Classroom Action Research which reveals that students feel comfortable to join the learning experience, and its effect on their competence in speaking skills with an increasing amount during going through stage 2 cycles; post-test 1 and post-test 2. Community Language Learning (CLL) is considered an effective and efficient method because it contributes to the prominent effects of speaking skills.
Research on Apriori Algorithm Based on Matrix Compression in Basketball Techniques and Tactics

Apriori algorithm is the most commonly used algorithm for mining frequent closed itemsets, which core idea is to generate frequent itemsets by computing support and pruning operations. However, the traditional Apriori algorithm has many shortcomings, an Apriori algorithm based on matrix compression is proposed, and the method of association and design of various technical actions in basketball matches is introduced. First, the transaction database is converted to Boolean matrix, which reduces the number of scans times and improves the time running efficiency of the algorithm. In addition, in order to improve space efficiency, the operation of deleting infrequent itemsets is added, and the generation of candidate sets is greatly reduced. Instance analysis and experimental results show that the improved algorithm has better performance than the existing algorithm, and can effectively improve the algorithm execution efficiency. And it can be effectively used to mine the potential relationship of basketball game technical movements, which is of great importance to the research of basketball game technical movements.
Paragenetic and petrographic study of uranium mineralization along the Midwest Trend, Northeastern Athabasca Basin

The Athabasca Basin in northern Saskatchewan is host to many world-class uranium deposits associated with the unconformity between the Paleoproterozoic sandstone of the basin and the underlying crystalline basement (Jefferson et al., 2007). While the style and tonnage of these deposits vary, the current genetic model for unconformity-related uranium deposits has been a practical tool for exploration in the Athabasca Basin. However, the factors which control the location and formation of these deposits is still not fully understood. A paragenetic and petrographic study of mineralization along the Midwest Trend, located on the northeastern margin of the Athabasca Basin, aims to refine the current model and to address the general problem: What are the factors which control mineralization and non-mineralization? The Midwest Trend will be used as a "modèle réduit" for uranium mineralization, as it displays many features characteristic of unconformity type deposits. The Midwest Trend comprises three mineral leases that encompass two uranium deposits, the Midwest Main and Midwest A (Allen et al., 2017a, b). Mineralization occurs along a NE-trending graphitic structure, and is hosted by the sandstone, at the unconformity, and in much lesser amounts in the underlying basement rocks. Petrographic observations aided by the use of RAMAN spectroscopy and SEM-EDS, have been used to create a paragenetic sequence of mineralization (Fig.1). Future work will focus on fluid inclusion studies using microthermometry, LA-ICP-MS, and mass spectrometry of contained gases.&#x0D; References:Allen, T., Quirt, D., Masset, O. (2017a). Midwest A Uranium Deposit, Midwest Property, Northern Mining District, Saskatchewan, NTS Map Area 741/8: 2017 Mineral Resource Technical Report. AREVA Resources Canada Inc. Internal Report No. 17-CND-33-01.&#x0D; Allen, T., Quirt, D., Masset, O. (2017b). Midwest Main Uranium Deposit, Midwest Property, Northern Mining District, Saskatchewan, NTS Map Area 741/8: 2017 Mineral Resource Technical Report. AREVA Resources Canada Inc. Internal Report No. 17-CND-33-01.&#x0D; Jefferson, C.W., Thomas, D.J., Gandhi, S.S., Ramaekers, P., Delaney, G., Brisbin, D., Cutts, C., Portella, P., and Olson, R.A., 2007: Unconformity-associated uranium deposits of the Athabasca Basin, Saskatchewan and Alberta. Geological Survey of Canada, Bulletin 588, p. 23–67.
Robust Reflection Removal against Accumulated Error by Using Stereo Camera System

In this paper, an error model of stereo camera system and a robust methodology are presented for reflection removal from pictures taken through a glass with long-shot background. The proposed method, when compared with the previous methods, results to be robust to the projection of the reflection error. Experimental test with real images-scenario were conducted to prove the validity of the developed method.
An Exploration of Attitudinal and Situational Factors Related to Intrinsic Motivation and Autonomy in Teacher Education Students

Teachers who are autonomous in their learning are able to serve as both role models and facilitators of autonomy in their students. Because the manifestation of autonomy in pursuit of individual learning goals often spurs intrinsic motivation, this study used multiple correlation analysis in order to determine how well attitudinal and situational factors in teacher education students (N = 320) were related to intrinsic motivation as a proxy measure for learner autonomy. The attitudinal factors used were three components of extrinsic motivation, amotivation, classroom community, school community, and self-esteem; the situational factors were student status (undergraduate or graduate) and course type (online or face-to-face). Study results suggest that the most important factors related to intrinsic motivation are the three types of regulation associated with extrinsic motivation, graduate student status, enrollment in an online course, and self-esteem. In particular, online students were more intrinsically motivated than face-to-face classroom students. Possible explanations for this result are that (a) students with greater levels of intrinsic motivation self-select online versus face-to-face courses or (b) online instructors, course design, and pedagogy are better able to strengthen intrinsic motivation (and, by assumption, learner autonomy) in students.
A study on desirable devices of correction mission for disabled inmates in korean prison

장애인교정사역이란 교정사역자가 예수그리스도의 정신을 교정시설의 장애인수용자에게 전하여 재범을 방지하고 교화시키는 사역을 말한다. 그러나 우리나라의 장애인교정사역은 일반사역에 부차적 존재로 치부되었고 한국교회의 성장주의적 자본주의에 의해 주변부적 사역으로 되어 왔다. 한국의 장애인교정사역은 전문성이나 이념은 거의 없었고 잔여적(RESIDUAL), 시혜적이고 경로의존화된 사회복지모델에만 의존하여온 한계가 있어 왔다. 그 결과 장애인 수용자에 대한 교정사역은 근본적인 한계가 있어 재범방지와 교화에 큰 도움이 되지 못하고 형식화되어 왔다. 따라서 본 논문에서는 장애인교정사역의 문제점과 개선방안을 미시적 측면과 거시적 측면으로 나누어 신학을 포함함 학제적 측면에서 독창적으로 제시함으로써 한국의 장애인 교정사역의 생산성을 제고할 수 있는 방향을 제시하였다.Correction mission for disabled inmates in prison refers to a special mission in which a pastoralist communicates the spirit of Jesus to inmates for their rehabilitation. But, Korean correction mission for disabled inmates have been secondary to the general mission and peripheral owing to the growth capitalism of Korean church. Therefore, There was little professionalism, idealogy in the correction mission for them in Korean prison of the country and Korean mission for them relied only on residual, path-dependence, charitable welfare. Therefore, there have been basic limitations that missionary work for them in Korean prison does not do much good to their rehabilitation. Therefore, I presented originally the desirable devices after asserting various problems of Korean correction mission for disabled inmates micro and macroscopic aspects throughout the interdisciplinary study including thelogy and suggested a direction for improving productivity in correction mission for disabled inmates.
Bifurcation of votes on Online Social Networks based on Sybil and Trusted Users

Social media platform is easily accessible by all users irrespective of their location. Online users can get registered on Social Networks with ease to create accounts and communicate with other users for information sharing. Due to this availability users are creating multiple duplicate accounts that results in sybils on network. Social networks are updated with the help of its users feedback and preferences in recommending online products. The process of collecting 0f feedback or preferences online for the products both sybil’s and real user’s information is collected. Sybil votes makes Product ranked high than they actually deserve. As any of the platforms have not taken any of the initiatives to find difference between sybil and real user feedback, hence to overcome this problem we have proposed an Sybil Community Detection Algorithm (SCD) to differentiate real user and sybil user feedback or vote thus build secure online environment.
Humans computer interact

Humans interact with computers in many ways; the interface between humans and computers is crucial to facilitate this interaction. Desktop applications, internet browsers, handheld computers, ERP, and computer kiosks make use of the prevalent graphical user interfaces (GUI) of today. Voice user interfaces (VUI) are used for speech recognition and synthesizing systems, and the emerging multi-modal and humans to engage with embodied character agents in a way that cannot be achieved with other interface paradigms. The growth in humancomputer interaction field has been in quality of interaction, and in different branching in its history. Instead of designing regular interfaces, the different research branches have had a different focus on the concepts of multimodality rather than intellectual adaptive interfaces rather than command/action based ones, and finally active rather than passive interface.
Repurposing Decoder-Transformer Language Models for Abstractive Summarization

Neural network models have shown excellent fluency and performance when applied to abstractive summarization. Many approaches to neural abstractive summarization involve the introduction of significant inductive bias, exemplified through the use of components such as pointer-generator architectures, coverage, and partially extractive procedures, designed to mimic the process by which humans summarize documents. We show that it is possible to attain competitive performance by instead directly viewing summarization as a language modeling problem and effectively leveraging transfer learning. We introduce a simple procedure built upon decoder-transformers to obtain highly competitive ROUGE scores for summarization performance using a language modeling loss alone, with no beam-search or other decoding-time optimization, and instead relying on efficient nucleus sampling and greedy decoding.
Teachers’ Perceptions About School Innovation Practices in Secondary Schools

School innovation is the process of modern teaching by introducing new curriculum, new teaching methods and new ways of evaluation.School innovation is beneficial not only for teachers and students but also for the school administration, as the school administration will be able to keep a check and balance of innovational outputs in a friendly way.The objectives of our research were to study the school innovational practices at secondary level, teacher's perceptions and the views of public and private school teachers regarding innovation at secondary level in Lahore.The objectives have been achieved by the responses of public and private school teachers.The nature of the research was descriptive survey and quantitative approach was employed.Purposive sampling technique was used to select sample of respondents and collect data.The close ended self-developed questionnaire was filled up by 200 respondents.Descriptive statistics was applied to get the descriptive information (frequency, central tendency, and standard deviation) of respondents.Moreover, inferential statistics (t-test and one way ANOVA) were applied to know about the differences of views among different demographic variables.At the end we concluded that private school teachers pay more emphasis on school innovation then public school teachers, so the government should maintain the standards of public schools as well by keeping proper check and balance.
Relevance of Big Data to Forensic Accounting

Business organizations lose about 5% of their revenues to fraud each ear, which can exceed 3.5 trillion (USD) worldwide. The existence and persistence of financial statement fraud (FSF) is detrimental to the safety, soundness, and efficiency of the financial markets. This study is intended to improve educational and practical skills of forensic accountants and their audit efficacy in discovering FSF by using Big Data and data analytics and algorithms. We discuss the use of Big Data and data analytics in forensic accounting practices and then examine the desired educational and practical skills of forensic accountants in the age of Big Data. This study gathers opinions from both Chinese academics and practitioners regarding the importance, demand, relevance, benefits, coverage and use of Big Data in forensic accounting education and practices. Results indicate that: (1) the demand for and interest in Big Data/data analytics and forensic accounting will continue to increase; (2) Big Data/data analytics and forensic accounting should be integrated into the business curriculum at both undergraduate and graduate levels; (3) many of the suggested Big Data topics should be integrated into business and accounting curricula and (4) many attributes such as availability of Big Data and Big Data techniques including predictive, descriptive and prescriptive analytics are important in improving forensic accounting education and practice.
Entrepreneurship Policies and Poverty Reduction in Selected States of the South-East, Nigeria

Entrepreneurship policies and programs have been noted and acknowledged globally as one of the instruments for achieving poverty reduction.As a result of the widespread poverty in the country, previous government administrations in Nigeria have at different times initiated policies and programs aimed at poverty reduction.This study investigated the relationship between entrepreneurship policies and poverty reduction in selected states of the South-East, Nigeria.Survey design was employed in the study.The population of the study were three selected states (Abia, Imo and Anambra States).Descriptive and inferential statistics were employed in analysis of data.The study found that entrepreneurship policies had joint significant effect on poverty reduction F(1, 133) =117.900,Adj.R 2 =.468, p<0.05 in Abia state.Also, in Imo State, entrepreneurship policies had significant effect on poverty reduction F(1, 120)=237.008,Adj.R 2 =.663, P<0.05.Entrepreneurship policies had significant effect on poverty reduction F(1, 140)=501.709,Adj.R 2 =.781, P<0.05 in Anambra state.The study recommends strong and focused emphasis on youth and women empowerment through the provision of Entrepreneurship Training Centers in all the local government areas within the three selected states of the South East as this will enhance employment generation and poverty reduction.
The Foundation and Change of the Chinese Contemporary Literature Publication System: Focusing on the “17-year period”(1949-1966)

As part of research to identify the mechanism of China"s contemporary literary production, the study organized the country"s literature publication system. In this study, the period was limited to the so-called "17-year period," or the period from 1949 when New China was founded to 1966, just before the Cultural Revolution broke out. The literature publication system of the time, which had been prepared even before the founding of the country and changed little by little, differs greatly from that of Korea under the market economy and from that of China since the reform and opening of the socialist market economy. As a starting point for figuring out what the system is, I have dealt with management organizations and institutional policies that have largely influenced it in terms of publication and literature, respectively.
Analisis Metode Saw Dalam Merekomendasikan Calon Atlet Bulutangkis PBSI Cabang Kisaran

This study aims to recommend the best Badminton Athlete Candidates in the PBSI branch of the Range based on the criteria determined using decision support system techniques. This multi-criteria decision making technique is based on the theory that each alternative consists of a number of criteria that have values and each criterion has weight that illustrates how important these criteria are with other criteria. The final results obtained from this decision support system will provide an alternative, to recommend the selection of PBSI Badminton Athlete Candidates in the Kisaran branch. The Name of the Best Badminton Athlete According to the Saw Method Calculation is the Mr.A Badminton Candidate Code with a weight of 0.9 Getting First Place.
Detection of Human Activity for Ambient Assisted Living: A SVM Based Approach

This paper proposes a novel approach to discriminate between two similar kinds of human activity which can be useful for ambient assisted living for elderly people. Various human activity detection methods have been developed in last decade, but still ambiguity lies in efficient detection of similar type of activities. This work suggests an efficient way to discriminate between two similar activities walking on a plane surface and climbing on stairs. Support Vector Machine (SVM) classifier is used to quantify the type activity. This method gives classification accuracy of about 90%.
Suggestions for the Enhancement of School Art Education and the Development of Content Organization of Art Textbooks Focusing on 3 Core Themes, Contemporary Art, Community-Linked Art(Public Art), and Art Appreciation·Museum Education

본 연구는 현 정부가 ‘학교예술교육중장기계획’(교육부, 2018), 학교예술교육활성화기본계획(교육부, 2019; 2020) 및 ‘미술 진흥중장기계획’(2018-2022)(문화체육관광부, 2018)을 통해 추진하는 ‘학교예술교육의 질적 제고’ 및 ‘미술로 행복한 삶’을 위한 기반 연구의 하나로, 학교미술교육 강화를 위하여 주목해야 할 3가지 핵심 주제, 즉, ‘동시대 미술’, ‘지역사회 연계 미술(공공미술)’, ‘미술 감상·미술관교육’이 학교미술교육에 어떻게 반영되어 있는지를 살펴보고 개선 방안을 제안하는 데 목 적을 두었다. 이를 위하여 학교미술교육 전문가 7인을 대상으로 설문조사 및 자문회의를 통해 교과서 분석을 위한 주제별 필수 내용 요소로서의 분석기준을 점검하였으며, 이에 기초하여 2015 개정 미술과 교육과정(교육부, 2015a)에 따라 개발된 초·중·고 미술 교과서 총 64권을 분석하였다. 학교미술교육의 강화를 위한 본 연구의 제안들은 우리나라 미술교육 정책을 비롯하여 차기 미술과 교육과정 및 학교급별 미술 교과서 개발 시 기초 자료로 활용될 수 있으며, 궁극적으로 학교미술교육 전반에 긍정적인 효과를 불러올 것이라 기대된다.The purpose of this study was to examine the 3 core themes(‘contemporary art’, ‘community-linked art(public art)’, ‘art appreciation·museum education’) proposed by ‘Korea Arts Management Service’, and to suggest future directions for enhancement of school art education. This study was done as the base research for ‘qualitative improvement of school art education’ and ‘happy life with art’ promoted through a set of School Arts Education Plans(MOE, 2018; 2019; 2020) and Art Promotion Plan(MCST, 2018) by the government. For this purpose, a total of 64 elementary to high-school art textbooks by 2015 revised Korean National Art Curriculum(MOE, 2015a) were analyzed. The standard of analysis for screening art textbooks was reviewed and verified by 7 school art-education experts. The result and the suggestions of this study could be used as a foundation for developing the next national art curriculum and art textbooks, and would bring about the effect of leading the advance of school art education.