Reviewerly/exHarmony huggingface dataset:
Chinese Initial Teaching Scheme Designed for Indonesian Beginners

As a part of the primary stage of Chinese phonetic teaching, the importance of Chinese initial teaching is self-evident, as initial pronunciation errors can affect the results of communication. Therefore, when Indonesian students begin to learn Chinese phonetics, they should first master the pronunciation characteristics of Chinese initials. This study has made a deeper exploration based on previous studies. This study aims to propose an initial teaching scheme for Indonesian beginners built on sorting out. Through comparison between the consonant systems in Chinese and Indonesian languages, analysis of the difficulties of Indonesian students' acquisition of Chinese initials, and investigation of the arrangement of initials in the “Scheme of the Chinese Phonetic Alphabet”, this study has designed a Chinese initial teaching scheme for Indonesian Chinese beginners with the purpose of improving the quality of Chinese initial teaching in Indonesia. Literature integration analysis and a qualitative research method were adopted in this study. By integrating existing literature and combining them with the authors’ own research findings, the design of the initial teaching scheme is optimized. The design features of this scheme are mainly reflected in the following aspects: first, arranging Chinese initials from easy to difficult to learn; second, strengthening the teaching and practice of Chinese initials which are different from Indonesian initials and simplifying those of Chinese initials which are identical to Indonesian initials; third, using the Indonesian alphabet or syllables as a guide to bring out Chinese initials. All of these can be regarded as the main results of this study and can be used as reference for further studies.
Verse and Prose in Henry V Continued

Critics have noted that the verse and prose parts of Henry V may be segregated insofar as they glorify or satirize martial action.1 In a previous note, I have compared the verse and prose parts of Henry V with Marlowe’s Tamburlaine plays, on the one hand, and Hamlet, King Lear, Othello, Romeo and Juliet, and The Winter’s Tale, on the other.2 Using principal component analysis, I showed that the verse parts of Henry V were located near the Marlowe plays, while the prose parts were distanced from the Tamburlaines, in company with the five entirely Shakespearean tragedies and comedy. This result was congruent with other studies of mine, which have suggested that tonal and thematic oppositions in the plays are due to dual authorship.3 My note of 2017 concluded: I am not aware if any textual scholar has responded to this in using the attribution software R Stylo.5 I have further developed ‘Verse and Prose in Henry V’ by separating the verse and prose parts of thirty Shakespeare plays for comparison with the Tamburlaines, and the verse and prose parts of Henry V.6Figure 1 below may be seen as a supplement to Figure 1 of N&Q cclxii, 268. It uses the relative frequencies of the 119 most frequent single words common (‘culled @ 100%’) to all the texts. The first fifty of these in order of their discriminating power are: of, and, I, a, the, sir, you, me, it, my, is, with, that, our, but, he, in, his, not, shall, am, her, man, their, time, to, one, she, thy, as, an, why, master, what, for, all, thou, lord, no, king, at, we, good, now, have, see, by, death, here, tell. These are listed to indicate that the words may be considered, excepting master, lord, king and death, as non-contextual.
Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments

GANs (Generative adversarial networks) is a new AI technology that can perform deep learning with less training data and has the capability of achieving transformation between two image sets. Using GAN we have carried out a comparison between several art sets with different art style. We have prepared several image sets; a flower photo set (A), an art image set (B1) of Impressionism drawings, an art image set of abstract paintings (B2), an art image set of Chinese figurative paintings, (B3), and an art image set of abstract images (B4) created by Naoko Tosa, one of the authors. Transformation between set A to each of B was carried out using GAN and four image sets (B1, B2, B3, B4) was obtained. Using these four image sets we have carried out psychological experiment by asking subjects consisting of 23 students to fill in questionnaires. By analyzing the obtained questionnaires, we have found the followings. Abstract drawings and figurative drawings are clearly judged to be different. Figurative drawings in West and East were judged to be similar. Abstract images by Naoko Tosa were judged as similar to Western abstract images. These results show that AI could be used as an analysis tool to reveal differences between art genres.
Markov Blanket Ranking Using Kernel-Based Conditional Dependence Measures

Developing feature selection algorithms that move beyond a pure correlational to a more causal analysis of observational data is an important problem in the sciences. Several algorithms attempt to do so by discovering the Markov blanket of a target, but they all contain a forward selection step which variables must pass in order to be included in the conditioning set. As a result, these algorithms may not consider all possible conditional multivariate combinations. We improve on this limitation by proposing a backward elimination method that uses a kernel-based conditional dependence measure to identify the Markov blanket in a fully multivariate fashion. The algorithm is easy to implement and compares favorably to other methods on synthetic and real datasets.
Caracterización del componente estudiantil en la pesquisa activa relacionada con la COVID-19

Background : the student component in the door-to-door active screening related to COVID-19 is essential for the early detection of positive cases and risk groups. Objective : to characterize the student component in the door-to-door active screening related to COVID-19, in students of the “Dr. Zoilo Enrique Marinello Vidaurreta” Faculty of Medical Sciences, University of Medical Sciences of Las Tunas, from March 23 to April 6, 2020. Methods : a cross-sectional descriptive study was carried out with students of the aforementioned institution and during the period herein declared. The sample was made up of 20 5th-year students majoring in Medicine appointed to a doctor’s office of the health district of “Manuel Fajardo” University Polyclinic of Las Tunas. The data were processed according to descriptive statistics. Results : there was a sex balance in the pair work. Regarding the students’ knowledge, in the taxonomy the selection of COVID-19 as a disease by 11 students prevailed (55 %); whereas only 6 students (30 %) classified SARS-Cov-2 as a new type of coronavirus. The environment of the ecological triad and the hypothesis of the stages of the epidemiological method were the aspects where the students presented the greatest difficulties. The communication media were the main way of knowledge acquisition (80 %). Collectively, professional performance was assessed as good. The population showed a high level of satisfaction. Conclusions : the student component in the door-to-door active screening for COVID-19 was characterized. The student discipline stood out and the insufficiencies in the training to carry out the door-to-door screening were identified.
Characterizing the Nature of Probability-Based Proof Number Search: A Case Study in the Othello and Connect Four Games

Variants of best-first search algorithms and their expansions have continuously been introduced to solve challenging problems. The probability-based proof number search (PPNS) is a best-first search algorithm that can be used to solve positions in AND/OR game tree structures. It combines information from explored (based on winning status) and unexplored (through Monte Carlo simulation) nodes from a game tree using an indicator called the probability-based proof number (PPN). In this study, PPNS is employed to solve randomly generated positions in Connect Four and Othello, in which the results are compared with the two well-known best-first search algorithms (proof number search (PNS) and Monte Carlo proof number search). Adopting a simple improvement parameter in PPNS reduces the number of nodes that need to be explored by up to 57%. Moreover, further observation showed the varying importance of information from explored and unexplored nodes in which PPNS relies critically on the combination of such information in earlier stages of the Othello game. Discussion and insights from these findings are provided where the potential future works are briefly described.
IMPLEMENTASI METODE HARGA POKOK PROSES DALAM PERHITUNGAN HARGA POKOK PRODUKSI PADA USAHA BATIK

The Batik is a company which produces apparel from the raw materials until the finished goods. It is called production. By the production, the company aims to produce high quality products with proper list price. Finally, the company will be able to compete with other companies. The purpose of this Last Project is to produce the application of The Computerization of Accounting System for Cost of Goods Manufacture with cost method process determine the list price so it can assist the disposal section in accounting process. The method used in this research was collecting the data including observation method, interview method, and literature technique. The process in making the application of The Computerization of Accounting System for Cost of Goods Manufacture with cost method process on Nur Hasida Batik in Sragen used a computer with Visual Basic 6 program, MySQL, and crystal report. The result of this Last Project Report is The Computerization of Accounting System for Cost of Goods Manufacture based on Orders which includes: goods data input, raw materials data input, labors costs data input, factory overhead data input, the transaction cost of goods, the transaction of the accounting for cost of goods manufacture and list price. It is also included the report of commodities’ data, the report of labors costs data, the report of commodities data, the report of factory overhead data, the report of the accounting for cost of goods manufacture and list price. Keywords: Raw material, labor cost, overhead, cost of goods manufacture
Technological challenges of online learning

The chapter focuses on technical aspects of course integration and the critical role that learning management systems (LMSs) play in delivering courses. Programs need to establish a distinctive web presence that highlights the strengths and values of the institution, offers multimedia access and interactive functionality for prospective students, and access to online services for current students, faculty, and staff. Among the most important issues is security in the context of online education, including system access and availability, failure and recovery, threats of intrusion, data corruption and theft, service disruption and liability. Web hosting requires careful consideration of not only the hardware and software costs associated with operating the website applications, but also the personnel needed to support the infrastructure on which it will operate. Rapid developments in the use of social media influence how institutions structure their online marketing strategy. Students tend to operate on the edge of technology advancement and expect to find relevant information on their daily channels, including Instagram, YouTube, LinkedIn, and Facebook. Web conferencing has become the standard, and an indispensable tool for global teams and online courses. Content management systems allow users to store and organize documents, images, and media. These files are then referenced to populate LMS content as students and instructors engage in the online classroom.
Corporate Social Responsibility: Contemporary Issues and Challenges

Corporate Social Responsibility (CSR) plays an essential role in sustainable development in economic progress of the society. CSR practices are followed by different organisations which are growing faster day by day. The Contribution for CSR has been made mandatory for a focused class of organisation. The main goal of the CSR is to establish equality in the society where we live in. Many companies take action through different activities on environment, consumers, employees and communities. This research paper focuses on secondary sources and follows descriptive research design.
E-Learning and M-Learning: The Advantages and Disadvantages

The rapid growth of information and communication technology (ICT) and rising computer knowledge skills of the students have laid very strong foundations during the last two decades for the appearance of new and more sophisticated educational forms such as e learning e learning or electronic learning is on area which is rapidly gaining acceptance and prominence among the modern education system. E learning is basically the computer and network enabled transfer of skills and knowledge. It has many overwhelming advantages over the traditional classroom where a teacher presents the learning material to only a small group of students and interaction take place vis-a-vis nowadays the concept of e learning has ushered in a new phase of development i.e. m-learning. M learning or mobile learning is another form of distance learning like e-learning m-learning provides an added advantage over e learning in the way that m learning offers the users opportunity to learn anywhere at any time without permanent physical connection to the cable networks.
A Model-based Framework for Context-aware Augmented Reality Applications

Augmented Reality (AR) is a technique that enables users to interact with their physical environment through the overlay of digital information.With the spread of AR applications in various domains (e.g.product design, manufacturing or maintenance) and the introduction of concepts such as Pervasive Augmented Reality (PAR), the aspect context-awareness started to play an important role.By sensing the user's current context and adapting the AR application accordingly, an adequate user experience can be achieved.Due to the complex structure and composition of AR applications, their development is a challenging task.Although, context-awareness for AR systems was addressed to some extent, a systematic method for development of context-aware AR applications is not fully covered yet.Therefore, in this paper, we identify the main challenges for development of context-aware AR applications and sketch our solution idea for a model-based development framework.
Animal Detection and its Disease Prediction by Neural Network Classifier

In this Project highly accurate and high-speed face detection method from the images that exactly find the pets (dog and cat) in the image. Our method achieves accurate detection performance by constructing an effective detection dictionary based on Machine learning using features extraction and neural network. After detecting the animal, the classifier will predict whether the animal affected by any disease. Once the animal is classified with disease, the motor shuts the door not allowing the animal to enter, when the animal is not identified with disease and if classified normal then the motor opens the door to let the animal inside. The accuracy of diagnosis is comparatively related to the medical skill. To find the great rate, and accurate diagnosis of animal disease. In this Project the model is able to carry out animal disease's diagnosis more approximately and have good prediction on the condition of small samples and provide a new approach for animal disease diagnosis.
A faster cryptographer's Conspiracy Santa

In Conspiracy Santa, a variant of Secret Santa, a group of people offer each other Christmas gifts, where each member of the group receives a gift from the other members of the group. To that end, the members of the group form conspiracies, to decide on appropriate gifts, and usually divide the cost of each gift among all participants of that conspiracy. This requires to settle the shared expenses per conspiracy, so Conspiracy Santa can actually be seen as an aggregation of several shared expenses problems. First, we show that the problem of finding a minimal number of transaction when settling shared expenses is NP-complete. Still, there exist good greedy approximations. Second, we present a greedy distributed secure solution to Conspiracy Santa. This solution allows a group of n people to share the expenses for the gifts in such a way that no participant learns the price of his gift, but at the same time notably reduces the number of transactions to 2⋅n+1 with respect to a naïve aggregation of n⋅(n−2). Furthermore, our solution does not require a trusted third party, and can either be implemented physically (the participants are in the same room and exchange money using envelopes) or, over Internet, using a cryptocurrency.
Feature selection: a multi-objective stochastic optimization approach

The feature subset task can be cast as a multiobjective discrete optimization problem. In this work, we study the search algorithm component of a feature subset selection method. We propose an algorithm based on the threshold accepting method, extended to the multi-objective framework by an appropriate definition of the acceptance rule. The method is used in the task of identifying relevant subsets of features in a Web bot recognition problem, where automated software agents on the Web are identified by analyzing the stream of HTTP requests to a Web server.
Demo Abstract: Distributed, Scalable, and Transparent Data Management Framework for Energy Market: A Blockchain Approach

Increasing a participation of distributed energy resources exposes the market to possible double counting of generated renewable electricity. It could also slow down financial settlement between multiple parties with heterogeneous generation capacities. A dynamic and transparent energy market, - that also guarantees security, privacy, and integrity of data and transactions, - is required for smart grids.
PODCAST: POTENSI DAN PERTUMBUHANNYA DI INDONESIA

Abstract:&#x0D; In the digital age which allows anyone by their smartphone to record videos and upload them online, it is surprising that audio not only survives, but also develops. Podcasts — audio file that can be downloaded to digital devices to be played later—starts being familiar. Podcasts are growing, unfortunately they are still not widely used both academically dan practically in Indonesia as they should in America and Europe. Since the lack of conceptual papers about podcast, this article aims to develop an understanding of podcasts. The research method applied is library research based on various references relating to keywords and research areas. The results show that podcasts in Indonesia are starting to grow and attract the attention of people in Indonesia, especially on Java. Podcasts as audio media have the potential to be used in the fields of education, tourism industry, and opportunities for growth in Indonesia.&#x0D;
Democratic Policy-making for Misinformation Detection Platforms by Git-based Principles

Combating misinformation is a challenging task due to the fact that misinformation evolves in content and strategy.We describe the challenges of this task and propose a git-based framework for collaborative and open policymaking against ever-evolving misinformation.We present the setup for future test-runs where users receive tasks that conduct the core functions of git-based policy-making against misinformation.
Architecture neural network deep optimizing based on self organizing feature map algorithm

Forward neural network (FNN) execution relying on the algorithm of training and architecture selection. Different parameters using for nip out the architecture of FNN such as the connections number among strata, neurons hidden number in each strata hidden and hidden strata number. Feature architectural combinations exponential could be uncontrollable manually so specific architecture can be design automatically by using special algorithm which build system with ability generalization better. Determination of architecture FNN can be done by using the algorithm of optimization numerous. In this paper methodology new proposes achievement where FNN neurons respective with hidden layers estimation work where in this work collect algorithm training self organizing feature map (SOFM) with advantages to explain how the best architectural selected automatically by SOFM from criteria error testing based on architecture populated. Different size of dataset benchmark of 4 classifications tested for approach proposed.
The Importance of Appeals Systems on Social Media Platforms

The appeals process is an important procedural mechanism that can be used to challenge substantive rules but its current incarnation at social media companies is unsatisfactory. Currently, content will be flagged on a social media platform as potentially violating the terms and conditions of the platform. Moderators at the platform will then decide what action should be taken, whether the content should remain, be deleted, demonetised, age-restricted, or turned over to the authorities. The user who posted the content will then have the opportunity to appeal the decision, requesting that the platform re-consider, usually by filling out an online form.This appeals process, however, is underdeveloped and would benefit from reform. This policy brief will give an overview of why appeals processes are important, the role they play in social media content moderation, and explain how some groups (activists and social media entrepreneurs) are especially affected by weak appeals processes.
Development modeling methods of analysis and synthesis of fingerprint deformations images

The current study is to develop modeling methods, Analysis and synthesis of fingerprints deformations images and their application in problems of automatic fingerprint identification. In the introduction justified urgency of the problem, is given a brief description of thematic publications. In this study will review of modern technologies of biometric technologies and methods of biometric identification, the review of fingerprint identification systems, investigate for distorting factors. The influence of deformations is singled out, the causes of deformation of fingerprints are analyzed. The review of modern ways of the account and modeling of deformations in problems of automatic fingerprint identification is given. The scientific novelty of the work is the development of information technologies for the analysis and synthesis of deformations of fingerprint images. The practical value of the work in the application of the developed methods, algorithms and information technologies in fingerprints identification systems. In addition, it has been found that our paper "devoted to research methods and synthesis of the fingerprint deformations" is a more appropriate choice than other papers.