Reviewerly/exHarmony huggingface dataset:
BITCOIN NOS REGISTROS CONTÁBEIS

The Bitcoin is a  cryptocurrency decentralized, anonymous and secure. The present work aims to analyze the bitcoin in accounting and what are its advantages and the challenges when their use. This academic work presents what is Bitcoin, how it came about, its functioning, its mensuration in accounting and about what tributes are charged, but operations that use this virtual currency. The methodology used was the qualitative research, both exploratory and descriptive, through the use of bibliographic and documentary, like book analysis, standards, scientific articles and websites related to the theme. Among the main results obtained with this scientific work this is the fact that bitcoin are coins recognized as cryptoactive. Therefore, the Bitcoin and an asset, can be current or non-current. In this sense, transactions can be classified in the chart of accounts, in what if refer the account treatment, as: box, cash equivalent, financial investments, stock, investments it´s intangible. Second to current legislation, about bitcoin relate some tributes, to know: ISSQN of the service provided by the “mining” (like new coins are created); ICMS when the payment transaction fur Bitcoin; ITCMD when the donation and inheritance and the recognition of IR about earnings with capital.
Optimization of The Backpropagation Method with Nguyen-widrow in Face Image Classification

In this study, it is proven that the Nguyen-widrow algorithm can optimize the Backpropagation method in terms of initializing weights and bias. With the Nguyen-widrow algorithm, the Backpropagation method can recognize facial images faster with better accuracy. In the testing process with hidden layer 6 neurons, at a target error of 0.01, the standard Backpropagation method obtained an accuracy of 96%, while the optimization Backpropagation method obtained a higher accuracy of 98%. So on with hidden layers 7, 8, 9, and 10 neurons. then in other words this research can be used to advance human technology in facilitating all aspects of life with these algorithms and methods. With the accuracy and speed of capturing facial images, this can be used as policy like a surveillance camera, traffic protection, and many other things that can be used in social life.
Evaluation of Extent of Computer Appreciation Skills Acquired by Secondary School Students for Economic Empowerment

This study is focused on college students’ computer appreciation skills acquired for economic empowerment. The study employed survey research design and was guided by three research questions. Purposive sampling technique was used to select 272 students drawn from three secondary schools out of the seven schools that offer computer studies. Computer Appreciation Skills Acquisition Questionnaire (CASAQ) was instrument used for data collection made up of 29 items with a reliability coefficient of .94, .83 and .96 obtained using Cronbach Alpha reliability test. Results showed that college students are moderately skilled in data processing, spreadsheet and database skill acquisition required for economic empowerment. It was recommended among others that more time be allocated in the timetable of Computer Studies/ICT subject to enable students have enough time for drills and practice that will guarantee quality skills training.&#x0D; &#x0D; Received: 18 December 2020 / Accepted: 19 March 2021 / Published: 10 May 2021
Practical UDL for the one-shot workshop [slides]

Slides from a presentation given in June 2014 to the Metrolina Library Association in Charlotte, North Carolina.
LibGuides: ENGL 1130.101: Writing the Environment: Conservation, Conservatories, Conservancies (Spring 2021): Home

A library research guide for Krithika Vachali's English 1130 class. Find Backgrund Information
The Innovative Development Path of College English Education from the Perspective of New Media

With the rapid development of information technology, the era of new media has quietly arrived, which makes people’s access to information more and more convenient. This efficient way of information exchange has had an unprecedented impact on all walks of life in society.
Efficient Real-Time Video Stabilization with a Novel Least Squares Formulation

We present a novel video stabilization algorithm (LSstab) that removes unwanted motions in real-time. LSstab is based on a novel least squares formulation of the smoothing cost function to alleviate the undesirable camera jitter. A recursive least square solver is derived to minimize the smoothing cost function with an O(N) computation complexity. LSstab is evaluated using a suite of publicly available videos against the state of the art video stabilization methods. Results show LSstab reaches comparable or better performance, achieving real-time processing speed when a GPU is used.
Outlier Detection Using Minimum Vector Variance Algorithm with Depth Function and Mahalanobis Distance

Outliers are observations where the point of observation deviates from the data pattern. The existence of outliers in the data can cause irregularities in the results of data analysis. One solution to this problem is to detect outliers using a statistical approach. The statistical approach method used in this study is the Minimum Vector Variance (MVV) algorithm which has robust characteristics for outliers. The purpose of this research is to detect outliers using the MVV algorithm by changing the data sorting criteria using the Robust Depth Mahalanobis to produce maximum detection. The results obtained from this study are that RDMMVV is superior to the observed value in showing the outliers and the location of the outliers in the data plot compared to DMMVV and MMVV.
4차 산업혁명시대의 무용교육 인식 및 방향성 제고에 대한 연구

The purpose of this study is not only to develop into the technology in the field of dance education as the 4th industrial revolution begins, but also to find various ways of education and ways to make it more concrete, especially since education is directly related to employment problems. It is the area to be noted most in the era of the 4th Industrial Revolution. The research method was analyzed by focusing on previous studies dealing with dance education and artificial intelligence according to the background of the 4th Industrial Revolution. The research data was limited from 2008 to 2020, and the reason for the limitation was to see the changes in education suggesting the beginning of the 4th Industrial Revolution era at the time of the first revised curriculum in 2007. The purpose of this study was to examine the needs of the dance curriculum system utilizing the perception of the 4th industrial revolution and to study basic materials that can be developed in dance education through research and analysis of student and expert groups. As a result of the overall study, it was found that the expert group had higher awareness of dance education according to the times.
Kajian Sistem Deteksi Dini pada saat Pandemi COVID-19

One of the increasing cases of COVID-19 is due to the large crowd. The crowd that occurred during the last quarter of 2020 occurred as a result of the easing of the PSBB to revive the community's economy, rife demonstrations, and other activities or events with large numbers of people. This is very worrying, coupled with the limited facilities and health workers to treat COVID-19 patients for those with severe symptoms. Therefore, an early detection system is needed by utilizing existing technology, especially for cities that have implemented smart cities and become red zones. So that this system can be an early warning or early detection for stakeholders to make decisions more quickly to prevent additional cases.
Jupyter Notebook-Based Diagnostic E-Assessment Model for Novice Programmer

Programming is one of the most difficult subjects for new students, and an important effort to improve these skills is by adjusting their cognitive abilities as well as learning styles. Therefore, this study aimed to improve student's learning outcomes through the use of Diagnostic E-Assessment Model. It determines the effectiveness of the model in improving student learning outcomes. Furthermore, programming teachers need to relate authentic information about uncleared topics to the students since their skills are grouped at the SOLO taxonomy level. Data grouping was conducted using the K-means clustering method which is often used in data mining analysis. It measures students' programming skills using an AMS application in line with the Jupyter Notebook engine. The data was obtained twice, after the completion of learning and after the teacher followed up on the assessment results. Also, the differences in the first and second assessments were analyzed using the N-Gains method. The results showed a significant increase in programming skills. This was indicated by the significant movement of numbers from the low to the highest level group such as Relational. Therefore, this model can also be used for other lessons as well.
Relationship of Knowledge of Mother with the Level of Language Development in Children Aged 2-3 Years in Puskesmas Padang Panyang, Nagan Raya

Stimulation of growth and development, especially language development in children, needs to be done to improve children's ability to speak in accordance with the level of development. The lack of information obtained by mothers about the importance of language stimulation for children causes mothers to consider it normal when a child is able to speak too late. The purpose of this study was to determine the relationship between maternal knowledge and the level of language development in children aged 2-3 years in Puskesmas Pandang Panyang, Nagan Raya. This research is analytical with a cross-sectional study design. The number of samples is 100 people taken randomly. The results showed that there was a significant relationship between maternal knowledge about language stimulation and language development in children aged 2-3 years with a value of p = 0.000. With Prevalence ratio (PR), namely 31.89. It is recommended that parents increase their knowledge of language stimulation in order to realize language development according to age and child
Estudo da situação da Industria 4.0 em Frigoríficos : Industria 4.0

Nowadays, in Engineering, the great discussion revolves around the accelerated evolution in processes through technological means. Based on this fact, this work aims to evaluate the situation of the slaughterhouse industries before industry 4.0. For that, some refrigeration units were interviewed in the west of Santa Catarina, in the sense of the use and application of industry 4.0. The results showed that the industry is still shyly moving towards the implementation of the concepts of Industry 4.0, but with a promising vision for the subject.
The Impact of the Digital Transformation of Business on Corporate Governance. An Overview of Recent Studies

This article presents a survey of recent studies on the impact of digitization, and particularly blockchain technology, on corporate governance and the principal-agent conflict in companies. The principal-agent conflict has been a centerpiece of the corporate governance research for more than 40 years. However, recent technological developments, and blockchain in particular, has created new avenues for exploration.We survey the implications of blockchain for the principal-agent conflict in three parts: 1) the organisational environment, and the creation of the conflict; 2) common observable instances of conflict; 3) actions necessary to maximise the value of blockchain implementation. We limit the studied conflict to the relationship between shareholders and management. We also limit the blockchain use cases to those currently in testing. The applications for blockchain in securities trading and for corporate functions automation via ‘smart’ contracts are both analysed. We also evaluate the implications for investor activism.Our results indicate that passive investor behavior is at the core of the environment that creates conflict. One of the key drivers of low activity is a non-transparent voting process resulting in low participation rates. Studies indicate that blockchain can solve this issue, thus mitigating the conflict, and is an attractive proposition for board members. The most frequent instances of conflict are related to the composition of boards of directors and compensation schemes observed at shareholder voting. Using blockchain for settlement would eliminate ambiguity in shareholder registers and prevent such strategies as “empty voting”. Smart contracts promise automation of governance functions like audit, which also weakens conflict. Even skeptics agree that voting is a promising application for blockchain. However, there is evidence that blockchain poses its own problems, and that smart contracts are associated with practical risks. Some critics argue that blockchain is less efficient than conventional corporate procedures.Blockchain is among the top digital technologies that business leaders have to monitor closely. As such, this overview of the most up-to-date thinking on the subject is relevant for anyone interested in the future of corporate governance and the digitization of business processes. This evaluation serves to highlight the current status of this innovative resource, outlining for both professionals and newcomers what exactly blockchain’s potential uses and implications are, while also outlining where a lack of quantitative research creates opportunities for further contributions to the research field. This study will also be instructive for those investigating blockchain implementation and the optimal characteristics of the solution.
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BERBASIS ANDROID MENGGUNAKAN PENDEKATAN REALISTIC MATHEMATICS EDUCATION (RME)

This research and development aims to produce Android-based mathematics learning media using the Realistic Mathematics Education (RME) approach is valid and practical criteria. This development uses the ADDIE development model which consists of analyze, design, development, implementation, and evaluation. But due to time constraints and the Covid-19 pandemic, this research does not use the stage. implementation and only arrived at the development stage. The results of the analysis at the validation test stage by the validator produced a percentage based on 2 aspects, namely 80.67% material and 86% media aspects included, and The average percentage of learning media validity is 83.33% so that the learning media is included in the very valid category. Furthermore, the results of the analysis of the practicality test 10 phase by class X produced an average percentage of 86,66% and entered the very practical criteria. Based on the validity test and practicality test carried out, it can be concluded that the Android-based mathematics learning media uses the Realistic Mathematics Education (RME) approach declared valid and practical to use.
IMPROVING SOCIAL SCIENCES LEARNING OUTCOMES WITH ONLINE LEARNING AT SDN 005 KEMPAS JAYA

The purpose of this study was to improve social studies learning outcomes by doing online learning. This research is a collaborative classroom action research (CAR) in which teachers and researchers work together. Action / effort research in the learning process in order to improve the learning outcomes of fourth grade students at SDN 005 Kempas Jaya, Kempas District, Indragiri Hilir Regency. The results of this study show that teacher activities in online learning in the first cycle of meeting 1 with 76% increase in the second meeting 76.16%, in the second cycle with the percentage of activities at the first meeting of 80.33% increasing to 85.5% at the second meeting. It can be seen that the teacher's activities carried out in online learning on social studies subjects with repeated examinations were carried out with student social studies learning outcomes by implementing online learning had increased, starting from the basic score or before implementing online learning the average social studies learning outcomes obtained by students was only 56.53, At the end of the first cycle the average score of student learning outcomes increased at the end of the first cycle the average value of student outcomes increased to 65.77 with an increase of 9.24 points. If you pay attention to the condition of student learning outcomes on the basic score and final test of the first cycle, because students are still not familiar with implementing online learning because this learning provides more opportunities for students to be able to use technology in the form of smartphones as a learning tool. Meanwhile, at the end of the second cycle test, the average score of student learning outcomes increased to 69.03 with an increase of 12.5 points. There has been an increase in student learning outcomes by implementing online learning.
Peningkatan Kosakata Bahasa Jerman Melalui Penggunaan Media Cerita Pendek

Abstract. This study aims to determine the increase in German vocabulary mastery. students in class XII Hotel Accommodation at SMK Santa Theresa Nangalili, West Manggarai Regency through short story media. This type of research is the Classroom Action Research model of Kemmis and Mc Taggart. The subjects in this research were students of class XII Hotel Accommodation, which amount to 30 people. This research was conducted in two cycles, which cycle I and cycle II, and each cycle consisted of four stages, that’s planning, implementing, observing, and reflecting. From the results of the German vocabulary mastery test, students obtained an average score of 64.93 in the first cycle and an increase in the second cycle with an average score of 80,67. The results of this research indicate that the use of short story media in learning can improve German vocabulary, as well as positive attitudes and activeness of students class XII Hotel Accommodation at SMK Santa Theresa Nangalili, West Manggarai- Nusa Tenggara Timur Regency.
Transfinite Version of Welter’s Game

We study the transfinite version of Welter’s Game, a combinatorial game played on a belt divided into squares numbered with general ordinal numbers. In particular, we give a solution for the game, based on those of the transfinite version of Nim and the original version of Welter’s Game using Cantor normal form.
Computer Technologies and Teaching Aids for Distance Learning in Educational Institutions Under Quarantine

The global spread of coronavirus infection has paralysed the work of many areas of economic, business, and, of course, educational activities of almost all countries on the planet. Unfortunately, Ukraine is no exception and a quarantine regime has been introduced in this country. The way out of the current situation in education in Ukraine was the introduction of distance learning in all educational institutions, which created new challenges for both teachers and students. The purpose of the paper was to study information technologies, tools and methods of learning that can be used for distance learning in educational institutions under quarantine. As a result, authors analysed world practices in ensuring the educational process within the framework of distance learning. The advantages and disadvantages of distance learning technologies for both higher education institutions and higher education seekers were identified. The research algorithm was presented in the form of systemic interrelations between the form of distance learning and information and software resources. The main features of such remote technologies as Moodle, Google Classroom, and video communication systems Zoom and Hangouts Meet were analysed.
Compression for Machine Vision and Beyond

Compression has been one of the most fundamental and elusive challenges in both academia and industry. With the sheer increase of high-definition video content over the internet, developing improved compression algorithms becomes an urgent necessity. This thesis tackles the problem of visual content compression: how to reduce the transmitted data volume under specific application scenarios. One of the core steps is how to remove the redundancy to achieve a compact latent representation. We approach the problem from two directions: prediction and transform. While a typical prediction process targets at removing the statistical redundancy between the reference and current image blocks, and transform further removes the inter-pixel redundancy between residual samples. We will address compression for machine vision and related topics. In compression for machine vision, machines will communicate amongst themselves to perform tasks without a human in the mix, which requires a separate pipeline to achieve optimal coding performance. We aim to investigate how to efficiently transmit image features in low latency scenario and focus on developing a multiple-transform solution to achieve a more compact data representation for image retrieval task. Multiple-transform solution is proven to be more efficient to preserve more distinguishable properties for a large-scale dataset. However, over-sized transform candidate list burdens the bit-rate constraint. We develop a merge scheme to search for the optimal transforms from available transform candidates.We will also present our efforts at contributing the development of next-generation video coding standard: Versatile Video Coding (VVC), and exploring improved intra prediction schemes beyond the High Efficiency Video Coding (HEVC) standard. 1) Based on observations on the properties of DST-7 and DCT-8, a dual-implementation support solution is developed to reduce the software run-time complexity. The (anti-)symmetric features are leveraged to reduce the number of arithmetic operations involved in deriving the transformed coefficients from the residual block. The scheme has been adopted by MPEG VVC standardization development group and was integrated into VVC reference software. 2) In prediction-relevant attempts, we explore both traditional and Convolutional Neural Network (CNN)-based schemes. Multiple Linear Regression is utilized to further explore spatial correlation with reference pixels and existing intra prediction. A CNN-based scheme is developed by combining local and non-local information for intra prediction. We demonstrate the effectiveness of these approaches.
PERENCANAAN ULANG SISTEM SALURAN DRAINASE DI JALAN XX – JALAN XX KECAMATAN XX KABUPATEN XX

Jl. Xx – Jl. Xx there is one of the point where during the rainy season there is a puddle that cause damage to the road. The purpose of this study is to redesign of drainage system, plan the cost estimate and to make scheduling. The required rainfall data for 2009-2018 are obtained from 3 nearby rain stations, topographic, population data in the sub-district Xx in 2018, and Work Unit Price of Xx Regency in 2018. The redesign use a design discharge with the 5 years cycle time. The methode is used rational method by comparing the discharge plan and discharge on the exsisting channels. The result of the survey of the condition the existing channels contained a lot of garbage, sediment, weed, and some damaged the channels. The rain discharge design with a 5 years cycle time is 95.091 mm/day. The biggest dimensions for the redesign is 1.7 m x 1.7 m, while the smallest is 0.6 m x 0.6 m. Plan supporting buildings such as water tunnels, inlets, step buildings, and infiltration wells, with the total cost of IDR 8,435,671,000, the project can be completed within 95 work days.