Reviewerly/exHarmony huggingface dataset:
Strategy-Stealing is Non-Constructive.

In many combinatorial games, one can prove that the first player wins under best play using a simple but non-constructive argument called strategy-stealing. This work is about the complexity behind these proofs: how hard is it to actually find a winning move in a game, when you know by strategy-stealing that one exists? We prove that this problem is PSPACE-hard already for Minimum Poset Games and Symmetric Maker-Maker Games, which are simple classes of games that capture two of the main types of strategy-stealing arguments in the current literature.
The Needs Analysis of ESP for Computer Majors

This paper examines the English needs of both computer practitioners and college students who are majoring in computers. Based on the results from 86 engineers and 346 college students as well as 14 university faculties, we discover that the following events are regarded as the most important ones by all groups of respondents including, familiarity of vocabulary for software programming and hardware, reading major-related articles and the ability to further learn major-related knowledge. The other communicative skills such as building good relationships with customers in English, reading and working with letters and meeting memos in English and making telephone calls in English are also deemed by the participants to be necessary and relatively important. Other communicative events which have been discussed in other related literatures are also studied and then instructional suggestions are given according to the investigation results.
PENGARUH PENGGUNAAN MEDIA CERITA BERGAMBAR DAN AKTIVITAS BELAJAR TERHADAP KEMAMPUAN MENULIS PARAGRAF PADA SISWA KELAS V SDN TANJUNG SETIA PESISIR BARAT

learning activities to the ability of writing paragraph. This research was motivated by the fact in field that the ability of writing paragraph and learning activities and influence of using picture media and learning activities to the ability of writing paragraph at five grade students of SDN Tanjung Setia Pesisir Barat. To reach the purpose of the research above, the researcher use correlational methos, it means that the data collected after all the even happen. The techniques to collect the data are analitycal conditional test, statistical analyze, and research hypothesis test. The result of the research showed that (1) there is a positive and significant of using picture media and students’ to ability of writing paragraph with correlation coeffesient is 15,88, (2) there is positive and significant correlation coefficient is 13,70, (3) there is a positive and significant influence of using picture media and learning activities to the ability of writing paragraph is 16,74.
The Gelo’s Wisdom on Water Ecology from the Ecological Concept of “Shield and Sustain”

The Gelo’s living environment and worship of nature breeds its ecological concept of “shield and sustain”, self-consciousness of water ecology, water protection behavior custom and rules, and superior hydro-ecology wisdom based adequate protection and utilization of water resources. With today’s commitment to holding and carrying forward Gelos’ traditional wisdom of water protection, it is recommended to popularize and apply the modern water conservancy science and technology and the Gelos’ traditional wisdom of water protection in a parallel or integrated way, which is of far-reaching significance to boosting the rural revitalization of the Gelo ethnic group and even promoting the domestic construction of modern ecological civilization.
BlockChain Based Combinatorial Grouping Auction with Reserve Price Mechanism in Cloud Computing

Background: The block-chain is a growing decentralized scheme applied in many applications, such as an auction, smart contract, Health, and banking sector. The cloud service providers can sell the resource to cloud consumers using an auction. The main challenge in resource allocation using auction is to provide reliability to the users. Methods: In this paper, a blockchain-based combinatorial grouping auction with a reserve price mechanism (BCGAWRP) was proposed. The proposed scheme maximizes the total revenue and resource utilization by assuring reliability. The proposed BCGAWRP performance was assessed by simulating the cloud environment. Results: The experimental result shows that the proposed BCGAWRP algorithm increases revenue more than the traditional combinatorial auction algorithm. Conclusion: Moreover, simulation studies show that reserve price is useful and provides a mechanism to achieve the trade-off between the seller's and the buyer’s virtual machines.
A Domain Knowledge—Enabled Hybrid Semi-Supervision Learning Method

Due to the advances in dramatically increased computing power, machine learning technologies have been widely exploited to provide promising solutions in different application fields. However, the high performance of many of these machine learning technologies highly relies on the availability of sufficient annotated data. Considering the fact that data annotation is an extremely time-consuming process, this condition is not always practical. To address this challenge, in this paper we propose a novel computing method, called hybrid semi-supervision machine learning, that exploits the loose domain knowledge to enable the accurate results even in the presence of limited labeled data. Simulations results illustrate the effectiveness of our method.
A research on the relationship between the structure of nuclear energy and string theory, energy, wormhole

Abstract In the 1870s, Europe entered the era of electric revolution. Not only large enterprises, but also small enterprises have adopted new power - electric energy. At first, an engine equipment only supplies lighting power for a house or a street. People call this kind of power station a “household type” power station, which produces very little power. The power plant was originally direct current. Edison, a famous American inventor, started to build the central power plant in 1881. In 1882, two power plants with initial scale were put into operation. In January 1882, the Edison Company of Holland bridge in London began to generate electricity to supply the city cathedral and bridgehead hotel in the west of the post office bridge of the San Marco factory. Later, a water power station appeared on the fintan River in Petersburg, Russia. The power station was built on a barge to provide power for the lighting of Nevsky street. In the early stage of power production and transmission, there was a long and fierce debate about whether it was DC or AC. Edison advocated the use of DC, and people have thought about various ways to expand the scope of DC power supply, so that the power supply situation in small and medium-sized cities has been significantly improved. The use of nuclear energy to produce power plants, also known as nuclear power plants (NPPs). There is a strong binding force between the nuclei (neutrons and protons). When heavy nucleus splits and light nucleus polymerizes, it will release huge energy, which is called nuclear energy. The technology has been relatively mature, forming a scale of operation, but the nuclear power plant that produces electric energy from the nuclear energy released by heavy nuclear fission is analyzed from the point of view of energy conversion, which is a conversion process from heavy nuclear fission nuclear energy to heat energy to mechanical energy to electric energy. Now that we have more advanced nuclear power technology, this paper introduces a new power plant concept and its relationship with microphysics.
Understanding Museum Architecture from Disability Experience

The Pavilion of the Knowledge of the Seas was originally designed for Expo ‘98 and afterward became a science museum. We examine the relationship between the architect’s intentions, the building’s architectural qualities, and purpose, focusing on the experience of disabled users. By accompanying a wheelchair user and a vision impaired person, we examine how their experiences of the museum relate to the architect’s intentions to accomodate persons with disability in his designs. Architects can have specific intentions in mind, but users may not experience them. Attending to disabled persons’ experiences provides an interesting and richer understanding of museum architecture.
Recognition of Historical Characters by Combination of Method Detecting Character in Photo Image of Document and Method Separating Block to Characters

There are vast amount of historical documents written in cursive writing style in Japan. However, characters written by the style cannot be read by modern people, because the style was taught no longer. Therefore, an efficient method to convert historical characters into modern characters automatically is required. Especially, since every page in a Japanese historical document is stored by a photo image, it is necessary to automatically recognize all characters in a photo image. However, it is difficult to recognize each historical characters separately, because they are written connected and because there are many types of shape of characters. In this paper, we propose a method combining a method using deep learning to detect characters in a photo image and a method separating a block into characters. The remained parts that cannot be recognized by the former method are separated into characters by the latter method. Thus, it is expected that the recognition ratio is improved. We evaluate the performance of the proposed algorithm by using photo images of actual documents.
The Design Patent Images Classification Based on Image Caption Model

Improving the performance of the patented image retrieval system is of great significance in the intellectual property protection. The design patent image has a large amount of data, and how to quickly complete the retrieval is part of the main research issues for the design patent retrieval system. Classification is an effective way to improve the retrieval speed, so some methods of image classification have been proposed before. However, image classification cannot achieve high-level semantic classification. Thus the speed of improvement is very limited. In order to realize the classification effect of high-level semantics, in this paper, we propose a method that uses the image caption model-based to realize the automatic description generation of the design patent image. Experiments show that our method has better classification accuracy and better semantic classification performance than previous image classification methods.
Systematization Plan and Content Element about Goryeo Period in Korean History Textbook

This study tried to review the research achievements of the learned circles of the Goryeo Dynasty history. It is to extract the central content elements that explain the time period, and to systematize them on the base of differences, between middle and high schools, fundamental aspects of history education.BR We have experienced that the possible options under current circumstances are limited. Because the issue of systematization has been raised repeatedly and negative views have been submitted to the discussion itself, despite the changes in the curriculum taking into account the systematization. If so, the most realistic approach at this time is to review the learning elements from the bottom up, to organize them around the core elements, and to apply them to 2015 school curriculum which was the most recent curriculum.BR On the other hand, it is believed that in the to long term, it is necessary to find out the ways to systematize content elements according to the times, which is the core of history. The long term method of systematization is to allow middle school students to discern the signs of the historical changes of more than 100 years. In the high school stage, through the descriptions of major topic history, the long term method is to explore also the changes of dynastic units, and to compare premodern history and modern history.
Comparative Analysis of Neural Network and Linear Regression Applied to Black Friday Data

Abstract In this study, it compares two different types of neural networks. First is a single layer neural network and other is multiple hidden layer neural network. For just comparisons it is ensured that both uses the same activation and output functions and have the same number of nodes and parameters. The networks are trained by the gradient descent algorithm to approximate linear and quadratic functions and examine their convergence properties. Here it is predicted as to how much a customer is willing to spend at a store using linear regression and different layers: single and multiple layers of neural network. Then comparison of linear regression with a single layer of neural network and single layer with multiple layers of network has done. Keywords : Comparisons, gradient descent algorithm, hidden layers, linear regression, neural networks Cite this Article Amin Deep Prakashbhai. Comparative Analysis of Neural Network and Linear Regression Applied to Black Friday Data. Current Trends in Signal Processing . 2019; 9(3): 1–4p.
Design and Practice of Case Teaching Method in Fieldbus Principle and Application Course

Fieldbus Principle and Application is an optional course for graduate students majoring in Control Science and Engineering. In order to stimulate students' interest in learning, improve students' practical ability, and cultivate students' sense of teamwork and innovation, case teaching method is introduced into the teaching of this course. This paper expounds the necessity and feasibility of introducing case teaching method, the implementation process of case teaching method and the results achieved.
A Quantitative Comparison of Synthetic Mammograms with Images from Conventional Mammography

Breast cancer is the most common cancer among women in Sweden. To be able to treat the disease it is important that it is detected at an early stage. In Sweden, women between 40 and 74 years are regularly offered screening with mammography to detect abnormalities in their breasts. The mammograms give the radiologist a good image of the breasts’ appearances, but it is difficult to detect structures that are covered by overlaying breast tissue, which are thus not seen in the image. To visualize structures hidden within the tissue and to see structures at different depths in the breast, breast tomosynthesis can be used. Breast tomosynthesis gives a three-dimensional image of the breast. In order to obtain the three-dimensional image, the breast is scanned in an angle of for example 50° and 25 projections of the breast are acquired. This can be reconstructed into a 3D image stack of the breast. To give an overview of what is shown in the corresponding tomosynthesis stack, the data can be reconstructed into a single synthetic mammogram. In this project, a quantitative comparison has been done between synthetic mammograms and conventional mammograms to investigate similarities and differences. The ultimate goal was to examine if it could be possible to use synthetic mammograms to compare to prior synthetic mammograms in order to track changes in the breast over time, when screening for breast cancer, just as conventional mammograms are used today. If that would be possible, the synthetic mammograms can provide a good overview of the breast, additionally the image stack acquired from breast tomosynthesis would give the radiologist the possibility to examine the breast in detail. The results showed that the synthetic mammograms were similar to conventional mammograms in one out of three aspects, the breast area density. Another comparison of the three was to use Transpara, an AI software, to examine the mammograms. This indicated similarities but there is still not enough evidence to draw conclusions. The last method of the three indicated significant differences in the frequency content, thus different structures were visible in the two types of mammograms. To conclude, synthetic mammograms and conventional mammograms are quite similar, but there are still improvements to be done before being able to state that they are equivalent. (Less)
Specific Person Recognition Based on Local Segmentation and Fusion

With the development of video and image technology, it is of great practical value to recognize specific persons in television programs and photo albums. However, occlusion of body parts and changes in shooting position and distance are common in real scenes. In this work, we proposed a Specific Person Recognition based on Local Segmentation and Fusion method, called PR-LSF, which improved the reliability of person recognition in these environments. We represented the human body as an aggregate of multiple parts and apply local segmentation to train multiple convolutional neural network (CNN) classifiers. Each part classifier generated an identification decision confidence for each part. By training the SVM classifier, we weighted the decision confidence of all parts to make a comprehensive judgment. To verify the effectiveness of the proposed algorithm, we performed experiments with unoccluded and occluded test sets. The experimental results demonstrated that PR-LSF achieved higher recognition performance than algorithms using a single body part and were reliable even with partial occlusions, multiple scenes, and shooting changes.
Εφαρμογή Αndroid που εμφανίζει βαθμολογίες και καταχωρεί παρουσίες σπουδαστών με χρήση NFC

The presentation of this project deals with the development of an android app, which can show the grades of a student from a student list or to register his presence to a class. The project is based on the technology of Near Field Communication and was created with Android Studio. The information is downloaded or uploaded to spreadsheets that exist in Google Drive. The app is based on the communication of a smartphone with tags that transfer data. Those tags are called NFC Tags and can store data, which in this case can be the name of a teacher or the subject of a class. Reading different tags can change the function of the app, if it is for example the grades of a student or his presence in the class. At first, I will refer more general to the NFC technology, its goal, its structure and the way it works. Then I will explain what the NFC Tags are, how they function and what their advantages are. Also I will enumerate the steps that we follow, the screens that will appear during the usage of the app, and finally I will give the instructions of the work we have to do before using it. Our goal is to make the information of the students about their grades easier, helping at the same time the teachers with an easy way of presence report directly to their Google Drive
Una ReflexiÃ³n de la 4a RevoluciÃ³n Industrial (RI4) y la FormaciÃ³n de Profesores de Lenguas

This article aims to present a reflection on what the 4th Industrial Revolution is and how it impacts on the training of future language teachers in Mexico. It discusses different topics related to the RI4 with an emphasis on what education in Mexico should be to meet the challenges faced during the 21st century.
Keefektifan Penerapan Media Pop Up dalam Pembelajaran Menulis Cerpen

This study aims to determine the learning outcomes of writing short stories before and after pop-up media is applied and to determine the effectiveness of the results of using pop-up media . This type of research is a type of experimental research with one group pretest-posttest (the group pretest-posttest). this study it was found that the value of students after using pop-up media increased significantly compared to students' scores before using pop-up media in writing short stories. obtained by students in writing short stories. can be stated that the ability to write short stories after using pop-up media is well developed. Problems that occur before using media pop ups can be solved by using media pop ups.. Conclusion the application of pop-up media in learning to write short stories is effectively used. Thus visual media, especially pop-up media can be a solution and an alternative to designing creative writing learning, especially writing short stories.
IoT Blockchain Integration

In this chapter, blockchain technologies and their possible use in enhancingInternet of Things(IoT) security will be evaluated. Blockchain technologies complemented with recent advances in IoT communication protocols present a new way to create a standardized, decentralized infrastructure that may be used to invent new types of security and data storage solutions free from DDoS attacks. Blockchain technologies utilize public-key cryptography, consensus protocols, various cryptographic privacy methods, distributed filesystems, and distributed application platforms. In the core of all these technologies lies the need for trustless, fault-tolerant exchange, and storage of information. With the ever-increasing number of IoT devices, it is evident that the premise of blockchain technologies may be useful on many levels.
Exploration of Corpus Based English Listening and Speaking Teaching Mode Reform under Big Data

with the Continuous Development of Computer and Internet Technology, the Use of Corpus for Teaching Has Been the Trend of Modern Teaching. English Teaching is a Major Foreign Language for Our Students. English is Also Used as an International Common Language. as a Modern Person, English Must Be Mastered. Therefore, a Corpus Based Teaching Mode Reform of Listening and Speaking is Proposed. But the Traditional English Training Mode Has Been Unable to Meet the Current Teaching Needs. Today, with the Increasingly Rich Corpus, Particle Swarm Optimization is Applied to the Corpus Based College English Teaching Mode. the Result Shows That the Method is Very Practical.
Leading the way with rules-based features for dental software

With CareStack, users get ‘next-generation’ functionality, such as rules-based EHR and customizable clinical documentation.
Dangerous Speech - Some Legislative Proposals

This paper considers steps that can be taken to legislate against hate speech. The first issue is the term “hate speech” itself and, in light of the proposals advanced, this emotive and largely meaningless term should be replaced with that of “dangerous speech” which more adequately encapsulates the nature of the harm that the law should address. The existing criminal provisions relating to what I call communications offences are outlined. Proposals are advanced for an addition to the Crimes Act to fill what appears to be a gap in the communications offences and which should be available to both individuals and groups. A brief discussion then follows about section 61 of the Human Rights Act and section 22 of the Harmful Digital Communications Act. It is suggested that major changes to these pieces of legislation is unnecessary. Communications offences inevitably involve a tension with the freedom of expression under the New Zealand Bill of Rights Act and the discussion demonstrates that the proposal advanced are a justifiable limitation on freedom of expression, but also emphasizes that a diverse society must inevitably contain a diversity of opinion which should be freely expressed.