Reviewerly/exHarmony huggingface dataset:
Implementasi Backpropagation Neural Network pada Prediksi Jumlah Penjualan Toyota Avanza di Indonesia

Prediction is a branch of science that is used to predict events that may occur in the future based on past events. One of the developed prediction methods, Backpropagation Neural Network, a method that has a good level of effectiveness. This study aims to determine the model and the accuracy of the model in predicting the total sales of the Toyota Avanza and to find out the results of sales predictions for the next 12 months by analyzing the number of sales in January 2010 to October 2021. The prediction model for the number of Toyota Avanza sales using the Backpropagation Neural Network is 12-13-1, where there are 12 variables in the input layer, 13 variables in the hidden layer and 1 variable in the output layer with a learning rate value of 0.5 and momentum 0. The predictions for the number of Toyota Avanza sales for 12 months are at an average upper limit of 6215 and an average lower limit of 3415 with a MAPE value of 9,39135%, so that the model can be said to be very good.
A Versatile Mathematical Function for Generating Stable and Chaotic Systems: A Data Encryption Application

The butterfly effect is the key feature on chaotic systems, where a long forecast is essentially useless due to the non-linear amplification in time of the initial conditions. An immense amount of phenomena in nature are chaotic systems, from biological to astronomical. The presence and use of chaos in science and technology is also broad, being data encryption a highly dependent on the capacity to generate chaos. The mathematical description of chaos and the generation of it through a practical function is still a current challenge. Here we present a new function called Tukmuky Jinmaâ€™any-Function (TJF), a highly programable function which generates chaos for practical applications. TJF provides complex behaviour with easy implementation, generating either periodic, quasi-periodic, weak, or strong chaotic trajectories. As an example of its applicability, we use this function as the entropy source of a symmetric encryption algorithm, using an image bitstream as test data with outstanding results, overcoming the drawbacks of previous chaos-based cryptosystems.
Design of E-Government Platform Based on Big Data Technology

With the rise of e-government concept, big data technology helps e-government usher in a new breakthrough.This paper proposes to integrate big data related technologies into e-government platform.Combined with the current construction background of e-government platform, and analyzes the needs of e-government platform, puts forward the platform design principles, and constructs a three-tier data sharing platform framework based on data layer, support layer and application layer, The construction and technical support of the platform are described.The construction of e-government platform based on big data technology helps to realize resource sharing among different departments, improve the comprehensive operation efficiency of all parties, and provide higher quality government services for the people.
A leap into the future – migrating to FOLIO: A cataloguer’s perspective

The aim of this paper is to share the journey of the Durban University of Technology (DUT) Library experience as one of the first African libraries to adopt an open-source integrated library management system. It is hoped that other libraries may benefit from this migration experience. The main aim of an Integrated Library System (ILS) is to improve productivity for both users and librarians. The migration from the old library management system to the new system encountered many challenges which included limited time, data corruption and quality issues. The cataloguing section is usually the main focus area that deals with the bulk of the migration data corruption issues. This paper highlights and focuses on a cataloguer’s perception of the new ILS Future of Libraries is Open (FOLIO) and the way the cataloguers adjusted to the new system. Evidence of the migration process was obtained from reports and active participation in the implementation process.
Comparative Research on Traditional Host and Online Host

Alongside with the increasing popularization of the Internet, online program host becomes an emerging occupation in addition to the traditional type.This paper conducts a comparative study on the traditional host and online host with regard to the backgrounds of time, media, and society;As for the host's characteristics, it analyzes their style differences in "interactivity, flexibility, normativity"; Subsequently, the different language applications of "articulation, broadcasting mode and discourse dominance" are summed up; Despite the diversity in platforms, their essence and value are internally similar.Finally, the future of traditional host and online host is reflected and prospected to promote in the hope that they can develop in a rational way.
A survey of applied corrections to measured Bragg and diffuse diffraction intensities for meaningful structure factor amplitudes

Powder and single crystal diffraction are analytical methods that have developed into widely used tools for material analysis on molecular and atomic level.Dependent on the sample symmetry, the material to be investigated and the question to answer, X-ray diffraction and increasingly also neutron diffraction are the investigative tools of choice due to their complementary sensitivity to heavy and light elements.Data collection with area detectors is more and more automated.Bragg diffraction intensities are collected highly efficiently and data reduction is streamlined.For single crystal structure analysis, raw diffraction intensities are reduced to an extracted structure factor amplitude for each measured Bragg reflection, and the reduced data set represents the composition and symmetry arrangement of the sample.The measured Bragg intensities are raw intensities and need to be corrected for sample absorption due to chemical composition and size, the experimental setup that might add extra scattering, for example glue used to secure the sample, or the detectors that might have variations in detection sensitivity and electronic noise.Those are just a few examples for sample and instrument specific corrections.Other corrections that are dependent on the radiation (X-rays or neutrons) and on monochromatic or polychromatic incident beams are Lorentz and polarization corrections, scaling and normalization.Being aware of the various corrections and when they are applied in the data reduction workflow can help to solve issues that surface during data analysis.Understanding the effects of various corrections are even more important, when relatively weak superlattice intensities or diffuse scattering are studied.This contribution aims to shed light on which corrections are applied to diffraction data, at which step of data reduction they are applied and they might impact the structure factor amplitudes and data analysis.
Represent Code as Action Sequence for Predicting Next Method Call

As human beings take actions with a goal in mind, we could predict the following action of a person depending on his previous actions. Inspired by this, after collecting and analyzing more than 13,000 repositories with 441,290 Python source code files from the Internet, we find the actions expressed in code are in the developers’ high-level programming language statements.
The Grading Model of College Minority Students Based on Visual Information Technology

At present, the most effective teaching tool is the interactive visualization platform, which directly or indirectly promotes the development of the education field.In addition, the development of this technology will affect many existing fields.The purpose of visual education is to help learners grasp relevant concepts in teaching more clearly.At the same time, visualization technology has a wide range of applications in various teaching fields of computer technology.In programming and data structure courses, the use of visualization teaching platform can deepen the understanding of learners.Based on the visualization information technology, this paper makes an in-depth study on the grading model of minority students in colleges and universities.This paper designs a scoring model by using visualization technology, and uses the model to collect teachers' scoring results of various indicators of ethnic minority students in colleges and universities, and finally analyses the data.
A Study on Content Validity of Reading Comprehension in TEM-8 (2016-2021)

TEM-8 is an authoritative test to judge the professional level of English majors, in which reading comprehension occupies an important proportion.Based on Bachman & Palmer's test task characteristics framework and combined with the requirements of teaching syllabus for English majors and the revised TEM-8 test syllabus in 2015, this paper, from the perspectives of language input characteristics and expected response characteristics, takes TEM-8 reading comprehension passages in the past five years as the research object to analyze the content validity of reading comprehension with the methods of qualitative and quantitative analysis.The results reveal that TEM-8 reading comprehension test in 2016-2021 has relatively high content validity on the whole, but there is space for further improvement in the length of reading text, the selection of text materials, the balance of text difficulty and the diversity of response types.
Research on College English Vocabulary Teaching Combined with POA and Word Formation Teaching

Vocabulary is the foundation of learning any language.The richer the vocabulary mastery, the better the learners' ability and level of language learning.However, combined with the actual situation of teaching, it is not uncommon for learners to memorize learning methods by rote.The development of modern science and technology has made some advanced teaching methods integrated into college English teaching.To improve the English level of college students, the improvement of their vocabulary is the foundation, and mastering a certain number of idioms is of great significance to improve students' language knowledge and ability, cross-cultural communication awareness and ability.If you simply repeat the spelling and Chinese translation of the memorized words, few students can persist for a long time, and it is easy to cause students to have a one-sided understanding of the meaning of the words.Such complex language phenomena as deformation have brought great challenges to vocabulary teaching and learning.However, in the traditional college English vocabulary teaching, students are not very motivated to memorize a large number of English vocabulary.The article analyzes the optimization and innovation of college English vocabulary teaching under the advanced teaching concept of POA (output-oriented method).Taking the network technology and hardware resources as the carrier, the learning resources are called and integrated to effectively improve the participation of students and the teaching effect.
How to Construct Efficient English Classes in Junior Middle School under the Influence of "Double Reduction" Policy

With the continuous development and innovation of educational thoughts, China's educational policies are constantly improving.In order to reduce the burden of primary and secondary school students, the state has introduced a "double reduction" policy.Under the background of "double reduction" policy, junior high school English teachers not only need to achieve the basic educational goals and ensure the quality of education, but also need to use various means to improve teaching efficiency, reduce students' learning pressure and psychological burden, stimulate students' learning desire, and finally create an efficient learning classes.Therefore, this study mainly expounded the impact of the implementation of the "double reduction" policy on English classroom teaching in junior middle school, and further put forward the way to construct high efficiency English classes in junior high school under the background of the policy.
Visual Web Archive Quality Assessment

The large size of today’s web archives makes it impossible to manually assess the quality of each archived web page, i.e., to check whether a page can be reproduced faithfully from an archive. For automated web archive quality assessment, previous work proposed to measure the pixel difference between a screenshot of the original page and a screenshot of the same page when reproduced from the archive. However, when categorizing types of reproduction errors (we introduce a respective taxonomy in this paper) one finds that some errors cause high pixel differences between the screenshots, but lead to only a negligible degradation in the user experience of the reproduced web page. Therefore, we propose to visually align page segments in such cases before measuring the pixel differences. Since the diversity of reproduction error types precludes a one-size-fits-all solution for visual alignment, we focus on one common type (translated segments) and investigate the usefulness of video compression algorithms for this task.
Experience in conducting classes in a digital educational environment

The article examines the experience of conducting classes during the period of mass use of distance learning technologies in the implementation of basic general education programs. Despite the fact that the remote format was not completely new and many teachers had some experience in the use of distance learning technologies, the simultaneous transfer of all forms of education to distance mode led to some technical difficulties and, first of all, the impossibility to provide all classes online. On the other hand, such a massive transition to a remote format has led to a cascade increase in the methodological experience of conducting various forms of classes remotely with the involvement of the maximum number of teachers and students. Some of the techniques can be applied when conducting classes in a traditional format.
An Integer Wavelet Transform Based Lossless Image Compression Technique Using Arithmetic Coding

The volume of image data produced today is increasing, which makes storing and transferring them a difficult task. There are some fields where loss-less image compression can be valuable because it allows the compression of images without compromising their quality. In this paper, we propose a lossless image compression technique based on linear prediction, integer wavelet transformation (IWT), and Arithmetic coding to improve the compression ratio of lossless images. As compared to state-of-the-art algorithms, the proposed algorithm increases compression ratios by at least 2.553% and up to 32.546%.
Korean Research Trends Analysis of Group Art Therapy on Children Stress

Objectives The study was performed of contribution to establish and develop system of the Group Art Therapy Studies for relief and decrease of children's stress in Korea and to seek for direction as practical application reference resource for the field by means of systematic analysis focused on Korean study trends related to the Group Art Therapy.&#x0D; Methods In order to perform the study, 45 master's theses and 19 academic journals; totally 64 articles which were able to browse on line from Korea Education &amp; Research Information Service, National Assembly Library and National Museum of Korea were selected as final subjects and analyzed by frequency and percentage statistics.&#x0D; Results The results of the study are as follows. First, the analysis by the basic research categorization showed that the Group Art Therapy Researches for Stressed Children seemed performed constantly from early 2000 in Korea. Second, the distribution by the clinical diagnosis of the objects for study showed that the composition of the groups was even in grades and the number of participates from 5 to 7. Third, the analysis by the contents of the studies revealed that most studies were about daily stress, and focused on the activities to enhance positive self-concept and self-esteem. Also consisting of 1 or 2 times a week total of 16 to 20 sessions and 60 to 70 minutes. Fourth, the result through the study trends analysis showed that the Ex ante and Ex post controlled experimental design method was the most commonly selected design pattern of the studies.&#x0D; Conclusions This study is significance in that it suggested the use of the field of Group Art Therapy on children's stress and the direction of research in the future.
Dilemma and Outlet of Mixed Ownership in Higher Vocational Colleges

The school running form of mixed ownership in higher vocational colleges is not only the inevitable requirement of the development of the new era, but also conforms to the development trend of the reform of vocational talent training mode in China in recent years.It is the innovative performance of mixed ownership in higher vocational education.A reasonable school running form of mixed ownership helps to stimulate market vitality and attract more social resources to participate in the training of professional talents.However, at present, there are still many weak links in the process of running schools under mixed ownership in China's higher vocational colleges: cognitive deviation, imperfect relevant legal system, insufficient role of government promotion, weak teachers and management.This paper mainly puts forward targeted solutions to the above difficulties, in order to promote the high-quality development of running schools under mixed ownership in China's higher vocational colleges.
Thoughts on the Development and Reform of Vocational Education——Taking Zhengzhou City as an Example

The "National Vocational Education Reform Implementation Plan" points out: Vocational education and general education are two different types of education, with equal importance.Without the modernization of vocational education, there will be no modernization of education.Therefore, the more important status and role of vocational education is It has become more and more prominent.As an important part of my country's education system, secondary vocational education plays an important role in the development of vocational education.The role of a link between the previous and the next.Secondary vocational education is an education field that specializes in cultivating skilled talents required by various industries in the society, and shoulders the important task of cultivating high-quality talents.However, the development of secondary vocational education is getting less and less attention from people, and it has also produced many problems that need to be resolved.These problems not only hinder students' learning and growth, but also affect the development of vocational education.This article takes the status quo of secondary vocational education as a starting point, and proposes solutions to the problems arising from the status quo of education.
Analysis on the Perception Factors of Gas Volleyball Teaching Effectiveness by College Students in Leshan, Sichuan Province

The public physical education course of gas volleyball in colleges in Leshan is of far-reaching significance for the health, mental outlook and self-improvement of college students, and even for the improvement of the physical quality of the whole nation.In recent years, relevant institutions have conducted several surveys on the physical quality of college students, with not optimistic results.Relevant responsible departments have made considerable adjustments to the previous education policy to develop physical education on the basis of previous education policies, reaching the level of physical education courses in colleges, so as to change the current situation.With the three general colleges in Leshan City being taken as an example and in combination with relevant national policies, purpose and nature of public physical education courses in colleges, characteristics of the sport of gas volleyball, physical education resources of colleges, physical condition of contemporary college students, self-learning ability and personal interests of college students, sporting atmosphere among college students and the cognition of college education management on the sport of gas volleyball, etc., the current teaching situation of gas volleyball in public physical education courses in colleges, which is unfavorable to gas volleyball is studied.Investigation and analysis on public gas volleyball in colleges, including the basic situation of gas volleyball students, the organization of gas volleyball courses, the practice of students participating in gas volleyball, the allocation of teachers, the promotion of gas volleyball, and the availability of court, equipment and facilities.The advantages of investigation and analysis on the current situation of gas volleyball in colleges, including the sports characteristics of gas volleyball, the advantages of gas volleyball in court, equipment and facilities, the advantages of gas volleyball in the curriculum and the teaching staff, and the rules of competition of the sport of gas volleyball.The problems existing in the public gas volleyball physical course in colleges: the problems between teaching conditions and teaching effectiveness, and those between teaching environment and teaching effectiveness.
Poisson Flow and Queuing Theory Model Based on OBE Theory

On the basis of in-depth analysis of OBE theory, the basic idea of integrating mathematical modeling into the course of probability theory and mathematical statistics is put forward.The reform of course content should not only depict the regularity of random phenomena and form the concept of probability, but also pay attention to expounding the application background of mathematical statistics, which is closely combined with professional learning and application practice.Actively guide students to learn to use probabilistic language to describe and express random phenomena, learn to use probabilistic model for application modeling.Based on Poisson flow theory, this paper establishes the queuing theory model, which guides students to analyze problems, put forward hypotheses and build models during the modeling process, improves students' innovation ability and highlights the application function of the course.
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management

Nowadays, the vehicles in the world are increasing along with the human’s population and one of the issues that causes because of this increasing use of vehicles in traffic. Due to this, it is also getting a hectic task to keep track of vehicles, and one of the best methodologies is by using video recordings of vehicles go by which does not disturb the traffic flow and can be easily installed. There are some techniques for detecting, counting, and tracking the vehicles for traffic flow controlling like point detection which did not reach up to the mark, and our project will present a video-based solution with background subtractor in OpenCV development, and with this, we can detect, count, and track the moving vehicles accurately, and thus, countermeasures can be taken to avoid traffic congestions.