Reviewerly/exHarmony huggingface dataset:
Automatic black and white image colorization using generative adversarial networks

This paper presents an approach to automatically colorize black and white images using artificial intelligence.Because different colors can be used to paint the same object, a machine learning algorithm can learn these colors during the training phase and generate realistic images.The solution is based on generative adversarial networks, a machine learning framework that uses two neural networks (the generator and the discriminator) to generate new data.The two models are trained simultaneously using the GPU support offered by Google Colab, the generator trying to deceive the discriminator with different colorizations methods and the discriminator classifying the images received from the generator as synthetic images.After the training phase, the resulting generator model can produce colorful versions of grayscale images from different datasets used as input.For a better comparison of the results, both qualitative and quantitative methods are used for the evaluation of the trained models, and also a Turing test, the algorithm obtaining a 23% chance of misleading the participants into choosing the generated image from pairs of real and synthetic images.
LibGuides: Introduction to the Hallmark University Library: Evaluating Websites/Resources/Fake News

This guide is intended to help familiarize you with our resources and offer guidance on searching for materials.
Critical Reflections for How to Make New National History Curriculum from History Class

Before 2022 national curriculum revision, this article is intended to reflect on the concept of ‘teacher as curriculum’ and ‘history education for Being a democratic civic’ and reflect on issues such as ‘competence’, ‘integration’ and ‘volume of modern history’ in the history teacher’s perspective.<BR> After considering the different meanings of competence and capability, this study suggested that the historical competency can be made by searching History teacher’s struggle to empower students’ competency in history class and questioning “What is a desirable life and what role can history education play in forming a desirable life?” In addition, regarding the ‘integration’ problem, it was argued that ‘integration’ is not a form of multiple subjects in a single subject, but rather an intergrated movement towards life with each subject as a lens of life, and that the practice of integrated class based on history should be noted in this point of view. Regarding the “volume of modern history,” it raised the need for a national history curriculum that begins with the present and lives of students through a historical approach from the perspective of “present history” rather than increasing the volume of modern history. Above all, in view of history teachers as a curriculum, it was emphasized that national history curriculum should be formed to help history teachers consider national curriculum documents as curriculum materials and make their own curriculum.
중등 중국어 교사 온라인 커뮤니티 전문성 개발 현황 연구

This paper analyzed three semesters of dialogue extracted from three online communities of secondary Chinese teachers. Through this, we examined Chinese teachers’ interest in teacher professionalism, demand for teaching contents and methods, imbalance of interest by job competency, and diagnosed alternative possibility of teacher community.In the secondary Chinese teachers online community, teachers’ conversations focused on the provision of materials. This suggests that teachers are mainly focusing on material sharing. Since all three communities have different platforms, the differences in the types of conversations were also noticeable. Also, the community’s shared materials were mainly concentrated on media materials. This is because the use of audiovisual media is higher than that of traditional text media in the process of instructional design and class preparation.The conversation about the contents of teaching and learning was overwhelmingly related to Chinese culture. This is due to the fact that the contents are not sufficiently handled in the teacher training courses. It also appears that Chinese classes at the school site serve as a window to China for students.When classifying community interactions and conversations based on Chinese teacher competences, there were many conversations about competences such as class preparation, class operation, professional development, curriculum content, and administrative practice, but the conversation about learners and teacher values was very small. As the teaching and learning process is standardized, systemized and customary, there is a concern that the teaching professionalism increases and the teacher professionalism decreases. More attention and reflection from researchers and teachers on this issue are needed.
THE DESIGN AND EVALUATION OF WEB VR CONTENT CREATOR IN JOB INTERVIEW SIMULATION

This study is dealing with VR technology in a web platform which is used for job interview simulation cases. The evaluation was carried out to review the use of VR technology running on low-specification smartphones (Low-Cost Device) which require small internet connection. The Web VR and React 360 libraries were used to develop the virtual environments using the JavaScript language. Moreover, the Web Speech API was used to convert text into conversations by taking questions from the web service on the Moodle learning platform that was connected to PostgreSQL. The first testing methods were the web application performance, then followed by Alpha Testing, and a validation test by media and material experts, continued by Beta Testing and a product-use testing which is done by 15 participants of English 3 class students. The data collection technique used a questionnaire. According to the assessment of the media and material experts; as well as the users, each of them gave an assessment score of 83.10% of the media and material experts and 77.58% of the participants. The mean score of 80.34% was in the feasible category.
LibGuides: RollerCoasters and Amusement Parks: Coasters and Parks

A go to database for everything related to rollercoasters and amusement parks with reviews, new technology, amusement parks in your area, and more! For your intro to all things coaster and nearby parks to start your journey!
Blockchain Fundamentals and Working Principles

This chapter provides details on blockchain fundamentals and working principles. We present blockchain network and types of blockchain networks. Categorization of blockchain is explained from different perspectives such as public, private, and consortium, and also from permissioned and permissionless perspective. We also discuss general issues with public blockchain system. Broadcasting and topology discovery are then discussed. We also highlight different types of nodes available in blockchain system. Layers in blockchain system are also discussed in detail. We then discuss the general working sequence of blockchain. Different blockchain platforms are then discussed along with data models, hashing, data storage, and data structures. We also mention the implementation and performance evaluation platforms of blockchain. Finally, we present the scalability and interoperability issues of blockchain systems.
Copyright’s emerging legal subjectivities

If the fact that new technologies affect media production, distribution, and consumption at an ever-increasing pace is by 2021 a trite truism, Meese’s Authors, Users, and Pirates directs our attent...
An Innovative Approach to Analyze Object-Oriented and Aspect-Oriented Application Metrics Using the Java and Aspect Programming Languages

Software processes are often associated with software development, software use, and processing of software applications. The increase in the number of programmatic countermeasures has led to the design and development of new software countermeasures. With the development of object-oriented software, more and more problems arise in object-oriented programming languages. That is why directional software development is in the scene. However, there is little information about many comparison applications for these activities in different programming languages. Therefore, it is difficult for software professionals to choose the right metrics for different paradigm software systems. In this paper, we describe the OOP and AOP based matrices for use by some researchers and professionals. It also includes innovative analysis using correlation matrices that improve or reduce the quality of the program. All the indicators we see are quality predictors.
Enhanced Secured Communication Optimization In Data Packets Using Proxy Protocols

The principle objective of this paper is to build up a Computational Private Information Retrieval conventions on cloud design utilizing deletion code for made sure about information sending. These conventions are too costly in view of the fact that they are combining complicated numerical operations for the whole database. Essentially distributed storage engineering would provide a range of higher performing capacity staff that provides long-term internet storage management and even the distributed storage architecture. Putting information away and retrieving it in an external cloud system and public review plan creates difficulties and disputes about classification of information during transfers. On any outsider's case, this dispute is usually a massive amount of knowledge stored with the cloud worker. Also you can defeat this problem by means of various methods such as encryption, key encryption, etc. In either case, overall encryption plans maintain confidentiality of information during the exchange, thus restricting the utility of the capability system in parallel with this cycle. This is because a few activities have only been supported by scrambled knowledge. These techniques will cause disappointment. To building a protected stockpiling framework that underpins different capacities is testing when the capacity framework is appropriated and has no focal power.
Analysis of the influence of smartphone use on the learning process

&#x0D; &#x0D; &#x0D; This research investigates the problem which are exposed to the youth of the society, trying to tackle the main investigations at global level of different researches that allows to evaluate and analyze the elements of information in the area of communication and its different factors related to technology which are contradictious in many cases. With this present research is also sought to determine the critical grade of the young people related to social topics or if they show indifference about what they are living in the daily life. These changes are not only supported by a quantitative increase of the available information and the development of new technologies which are immediately available for receivers, but it is estimated to be directly related to all the cultural and have modifications, in other words, transformations social and cultural it can change on the way of communication.&#x0D; &#x0D; &#x0D;
Instant messaging and the facilitation of collaborative, student-led learning and teaching-support: The NZCEL EAP scenario

AbstractIn the last couple of decades, the increased use of technology in the education sector has led to smartphone use becoming more prevalent in supporting students’ learning. Apart from applications (apps) specifically designed for language educational purposes, such as Duolingo, there are also instant messaging apps that are not specifically designed for education purposes, but that can be useful in supporting learners. These include instant messaging apps such as, WhatsApp and WeChat. Instead of relegating phone app use to merely a source of entertainment and distraction, teachers increasingly use them as a vital form of communication to enhance education, including language learning. Apps have thus shifted from a tangential position to the forefront of the learning space. For the purposes of this research project, WeChat was used as the messaging app. This article focuses on the initial findings of a pilot study and concentrates on the perceived purposes for the participants’ posts as they relate to the use of the app as a tool for collaboration, peer-support, and knowledge sharing. Data was gathered through an online survey, semi-structured interviews, and an analysis of the WeChat posts. Analysis of the posts and comments made by students during the interviews suggest that the tool formed a vital link between them, their classmates and teachers, and, at times, served as a social platform underlying the key educational purposes of the programme.
CORRELATION BETWEEN READING INTERESTS AND INDONESIAN LANGUAGE LEARNING OUTCOMES TO FIFTH GRADE STUDENTS OF PUBLIC ELEMENTARY SCHOOLS IN PEJAGOAN SUB-DISTRICT IN ACADEMIC YEAR OF 2019/2020

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The objectives of the research were to prove significant and positive correlation between reading interests and Indonesian language learning outcomes and to determine the contribution of reading interests on Indonesian language learning outcomes to fifth grade students in Pejagoan Sub-District in academic year of 2019/2020. The research was quantitative correlational study. The prerequisite test used the normality and linearity test. The data analysis included simple correlation test and &lt;/em&gt;&lt;em&gt;adjusted R square&lt;/em&gt;&lt;em&gt; with significance level of 5%. The results indicated that there was positive and significant relationship between reading interests and Indonesian language learning outcomes. The correlation was 0.539 and &lt;/em&gt;&lt;em&gt;Adjusted R square&lt;/em&gt;&lt;em&gt; of reading interests on Indonesian language learning outcomes was 22.62%. It concludes that there is significant and positive correlation between reading interests and Indonesian language learning outcomes to fifth grade students in Pejagoan sub-District in academic year of 2019/2020. &lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Nature Inspired Classifier Based on Binary Neural Network and Fuzzy Ant Colony Optimization Algorithm

Since last decade, classification methods are useful in a wide range of applications. Classification is a task to group the sample having similar properties. This capability can be introduced in computer system by designing various types of classifiers. In artificial intelligent there is a technique called neural network which has so many approaches to applying for this problem. Here, Nature Inspired Classifier Based on Binary Neural Network and fuzzy ant colony optimization (NBNNFA) is design and implemented for the application of multi class. Generally data mining model is used to classify unseen data. That's why so many efforts have taken to improve the performance. The multiclass classification performance improvement will be the main goal of this research, which is achieved by using fuzzy ant colony optimization (FACO). FACO able to control the continuous data type, and can remove information uncertainty to perform better than the traditional algorithm. FACO uses a rule-based feature selection concept to minimize the least influent attributes due to which computational time increases. So the preprocessed input binary data first given to FACO than it forms three layered network architecture i.e. Input, Hidden and Output layer. Firstly, it preprocesses data set for the sake of generating binary values. Then, preprocessed data is used for hidden layer as an input, to minimize the training time for all multiple classes the hidden layer training is done in parallel and using the concept of geometrical learning. This approach is tested with various benchmark datasets. The results corresponding to these datasets are generated by varying the learning parameters.
Sistem Pakar Diagnosa Gejala Kecanduan Game Online dengan Metode Backward Chaining

In the last decade, there have been people whose style of play effects are online. This style of online gamewill be a very middle thing, because this opium could be a husband with no real life, nor cause death. There are suspected cancer victims online games need to consult this problem on. But many factors are pakah to come to pakkes, such as lazy, no time, our timing so cost. Therefore, the system of cancer experts diagnose online games using backward chaining in the hope that can consult with experts do not need to come to the doctor.
Analysis Of Pattern Matching Algorithms Used For Searching The Patterns In MLIR Framework

There is a solid requirement for the real-time ordering of enormous measures of information streaming at the rate of 10GB/s or more. This information should be scanned for designs and the query items are time-basic in fields as different as security reconnaissance, monetary services including stock exchanging, checking the basic well-being states of patients, atmosphere notice frameworks, etc. Here, the file will be required to age-off in a little time and thus will be of limited size. Notwithstanding, such situations can't endure any infringement of indexing latency and severe pursuit reaction times. Likewise, future greatly parallel (multicore) structures with capacity class recollections will empower rapid in-memory constant indexing, where the index can be totally put away in a high limit storage class memory. As the web is growing, it means a number of documents on the web are also growing so index size will also grow. The approach would be to partition a single large search index into smaller partitions and assigned to each node in the cluster.  Later when a search request comes each node in the cluster will perform a search on the local index for each query term and send the result back to the central machine, which will later combine search results from all nodes in the cluster and then send it to the user. In this paper also comparative analysis of rabin-karp and Knuth-Morris-Pratt and Boyer-Moore algorithm has been done based on the execution time of the search pattern. An experimental result of the algorithm is presented in this paper, based on the result it has been concluded that KMP algorithm is better to use in MLIR framework.
BlockArch’21 - Second International Workshop on Blockchain-Based Architecture

Welcome to the Second Edition of the International Workshop on Blockchain-Based Architecture.
Formulating Method to Improve Web Quality: Integrating Fuzzy Logic, Web Quality, and Refined Kano

Disruption of technology requires businesses to perform digital transformation in its product marketing, one of which includes owning an e-commerce website. By having an e-commerce website, businesses get detailed consumer behavior patterns from their visits. This pattern of behavior can be utilized for future business process development. The importance of the existence of this e-commerce website requires businesses to be able to provide the best service when consumers access the website. In this research, the appropriate methods are formulated for businesses to improve the quality of their e-commerce services. In previous studies, Web Quality and Refined Kano methods are often used to improve the quality of e-commerce services. Although the two methods are often integrated to find more accurate recommendations, the recommendations produced are still subjective and have a high level of ambiguity. To reduce the level of subjectivity and ambiguity, it is necessary to integrate fuzzy logic into Web Quality and Refined Kano. The integration of fuzzy, Web Quality, and Refined Kano methods is expected to provide the most accurate and objective recommendations for businesses to improve the quality of their e-commerce services.
Multi - Direction Convolution for Semantic Segmentation

Context is known to be one of crucial factors effecting the performance improvement of semantic segmentation. However, state-of-the-art segmentation models built upon fully convolutional networks are inherently weak in encoding contextual information because of stacked local operations such as convolution and pooling. Failing to capture context leads to inferior segmentation performance. Despite many context modules have been proposed to relieve this problem, they still operate in a local manner or use the same contextual information in different positions (due to upsampling). In this paper, we introduce the idea of Multi-Direction Convolution (MDC)-a novel operator capable of encoding rich contextual information. This operator is inspired by an observation that the standard convolution only slides along the spatial dimension (x,y direction) where the channel dimension (z direction) is fixed, which renders slow growth of the receptive field (RF). If considering the channel-fixed convolution to be one-direction, MDC is multi-direction in the sense that MDC slides along both spatial and channel dimensions, i.e., it slides along x,y when z is fixed, along x,z when y is fixed, and along y, z when x is fixed. In this way, MDC is able to encode rich contextual information with the fast increase of the RF. Compared to existing context modules, the encoded context is position-sensitive because no upsampling is required. MDC is also efficient and easy to implement. It can be implemented with few standard convolution layers with permutation. We show through extensive experiments that MDC effectively and selectively enlarges the RF and outperforms existing contextual modules on two standard benchmarks, including Cityscapes and PASCAL VOC2012.
Government Assistance Financial and its Approaches

A government assistance financial aspect is a part of financial aspects that utilizes microeconomic strategies to assess prosperity (government assistance) at the total (economy-wide) level. Endeavoring to apply the standards of government assistance financial aspects brings about the field of public financial aspects, the investigation of how government may mediate to improve social government assistance. Government assistance financial matters likewise gives the hypothetical establishments to specific instruments of public financial aspects, including money saving advantage investigation, while the mix of government assistance financial matters and bits of knowledge from social financial matters has prompted the making of another subfield, conduct government assistance economics.
Waste Classification with Convolution Neural Networks

Waste has always been a problem for humans all around the world. To find a way to reduce it and get rid of it various methods are used, these waste cause a suppressing issue of landfills and an increase in toxicity of the soil. Sometimes, these toxic wastes are consumed by animals. Therefore, waste classification is the initial step in the separation and segregation of organic and recyclable. A CNN model is created from scratch that classifies waste into organic and recyclable categories. A dataset of 25077 images is used and all of them having .jpg extension. The training set had 80% of the dataset and the test set has 20% of the dataset. This paper explores the model and performances of the model which gave an accuracy of 90.66% in classifying waste into organic and recyclable.
Revisiting Audiovisual Rotation Gains for Redirected Walking

In this paper, we present a psychophysical study exploring how spatialized sound affects perceptual detection thresholds for rotation gains during exposure to virtual environments with varying degrees of visibility. The study was based on a 2×3 factorial design, crossing two types of audio (no audio and spatialized audio) and three degrees of visibility (low, medium, and high density fog). We found no notable effects of sound spatialization or visibility on detection thresholds. Although future studies are required to empirically confirm that vision dominates audition, these results provide quantitative evidence that visual rotation gains may be robust to auditory interference. Furthermore, they suggest that rotation gains may be useful even when the virtual environment offers very limited visibility.