Reviewerly/exHarmony huggingface dataset:
Towards Intercultural Christian Education : A Christian Educational Response to Multicultural Phenomenon in the South Korean Context

In South Korea which has become a multicultural society, ethnic and cultural others have suffered from discrimination against them and isolation from society. Multicultural policies and multicultural public education have simply focused on the assimilation of cultural others without providing opportunities to build a reciprocal relationship between Kor eans and cultural others. Noting this reality, this paper proposes intercultural Christian education as a prophetic and educational role of faith communities in society. Intercultural education, intercultural theology, Miroslav Volf's drama of embrace, and Sang-Jin Park's theory of the ecosystem of Christian education offer theoretical foundations for intercultural Christian education. Based on these foundations, the paper discusses the definition and goal of intercultural Christian education and argues for the roles of intercultural Christian education to help Christ ians SEE the self, the other, and the community through self-reflection, embrace, and ecological transformation. As intercultural Christian education pursues to nurture Christians to have a respectful and hospitable mindset toward cultural others, such education will help faith communities seek a multi-colored kingdom of God.
Research on Multiple Overlapping Speakers Number Recognition Based on X-Vector

Based on the speaker recognition system, this paper studies how to recognize the number of speakers in the case that multiple speakers speak overlappingly. In order to improve the performance of the speaker recognition system, this paper is based on the x-vector system, combined with the convolutional neural network, focusing on the problems of the x-vector system, and explore effective solutions. Acoustic features are extracted by convolution neural network. MFCC is often used as input feature in the field of speech technology, but this empirical feature has some problems. In this paper, the most primitive acoustic parameter, spectrogram, is used as input feature, which contains more primitive speaker information. Meanwhile, using the mechanism of local perception and weight sharing of convolutional neural network (CNN), the spectrogram is automatically optimized, and dimensionality reduction is completed, thus avoiding the loss of information caused by empirical feature calculation. The experimental results show that the proposed scheme is reasonable and effective: extracting and optimizing features directly from the spectrogram by CNN.
Example-Based Hybrid Higher-Order Neural Network Cognition Applied for Archive Translation

This paper constructs the basic principles and system structure of example-based hybrid higher-order neural network cognition for machine translation. On this basis, the paper elaborates the construction method of English and Chinese bilingual archive instance library, and gives the multi-granularity alignment techniques (paragraph level, sentence level and word level) used in the processing of bilingual archive corpus, forming a multi-level alignment method and improving the accuracy of bilingual archive corpus alignment. Then, the paper discusses and gives the algorithm of sentence similarity based on words in archive databases and the retrieval algorithm of the most similar instances. Finally, the paper makes an experiment on the example-based machine translation (EBMT) of archives, evaluates the performance of the translation, analyzes the results, concluding the advantages and disadvantages of this method. The experiment results show that the expected target of archive translation is achieved, that is, the simple archive translation can be performed, and when there are sentences in the instance library that are similar to the sentences to be translated, the archive translation of higher quality can be obtained.
LibGuides: Virtual Potluck: Bringing Ossining to the Table!: Growing Vegetables

Ashley Covelli, of Big Flavors from a Tiny Kitchen, will lead an exciting new program to build community over food, recipes, and conversations centered around cookbooks!
Стресс и панические состояния в управленческой деятельности

The stressful situations arising in administrative activity are described. The special attention is given panic conditions which arise during stress and will disorganize activity of managers and the organization as a whole. Recipes under the prevention of occurrence of such conditions, including elements of psychological trainings, are offered.
Does High Reads Lead to High Citations

Academic social networking platforms have drastically changed the dissemination of scientific research output among the scholars. Library Philosophy and Practice (LPP) is a well-known online free access and peer reviewed international journal in the field of Library and Information Science (LIS). The present study aims to investigate whether high reads of LPP journal articles in ResearchGate (RG) results in high citations. A total of 49 highly cited articles were retrieved from ResearchGate. The parameters analysed are authorship pattern, publication year and the indicators RG reads and citations. The study assessed the level of reads and level of citations, correlation of reads with citations and the influence of reads on citations.
DOCUMENT MANAGEMENT AND STORAGE PORTAL

The DOCUMENT MANAGEMENT AND STORAGE PORTAL project is used to store all documents on web server to maintain all documents on college portal. It is very useful for college administration as well as student to check documents online. In this project we are using php for development and html, Bootstrap for designing. In this project we have two modules i.e., admin and students, both have individual credentials to log in. All data uploaded by students are visible for admin, and student can only see data of our self Student further can upload any useful documents or mark sheets. Admin can see all users data as per their name and have authority to add or remove user and manage all documents
MODEL OF ACADEMIC MANAGEMENT OF HYBRID ENVIRONMENTS FOR PROFESSIONAL TRAINING AT UNIVERSIDAD UNIANDES, QUEVEDO EXTENSION

UNIANDES Quevedo University, as well as the higher education system, has been affected by the impact of COVID 19. This paper focuses on this problem by studying how the university has responded in the educational field to the teaching challenges involved in abruptly migrating to virtuality. The answer is the academic management model for migration to virtuality, which has allowed empowering teachers in the solution of the complex didactic and communicative problems that occur in technological training environments. Theoretical, empirical and mathematical statistical methods have been used for the research. The result has been supported by the teaching indicators achieved in the last two academic periods taught at the university.
A Case Study of Usability in Virtual Controls

This paper presents the results of a spatial augmented reality (SAR) feasibility study that compares interactions with seven different physical to virtual projected buttons. The virtual 3-D projected buttons in this case act like a touch screen; they are flat, provide no depth feedback when pressed, and activate on touch regardless of how much pressure is used. The study investigated whether these properties impacted on how users interacted with the buttons, and if they influenced the performance of button operation. In the experiment, 13 participants pressed physical and virtual buttons while their movements were recorded with a VICON MX20 motion tracking system. Two types of physical and virtual buttons showed similar performance results, such as how quickly the subjects reacted, or how the hand accelerated to press the button. Physical and virtual buttons were equally rated by the subjects. The study supports usage of SAR technology in Product Development.
The Use of Think-Pair-Share Technique to Improve Students’ Reading Comprehension of Explanation Text

This study was conducted to improve students’ reading comprehension on explanation text and students’ participation during the teaching and learning process through the use of Think-Pair-Share technique at one of high school in Banyudono. When conducting this study, the researcher used Classroom Action Research as the method of the research. This study was conducted in two cycles. Each cycle consists of four phases: planning, acting, observing, and reflecting. The data of the study were obtained through observation, questionnaire, interview, field note, and test. The subjects of this study were 29 students of Class XI IPS 4. The result showed that there was an improvement in students’ reading comprehension. It can be seen from the improvement of students’ mean scores from 53 in the pre-test to 68.1 in the post-test 1 and 73.9 in the post-test 2. Furthermore, the result of observation showed that the class situation, including students’ participation during the teaching and learning process, improved through the implementation of the Think-Pair-Share technique. It could be concluded that Think-Pair-Share can be used as an alternative strategy to improve students’ reading comprehension and students’ participation during teaching and learning process.
Table Reservation and Meal Ordering System Using QR Code

At present, people have been waiting anxiously for the system that will satisfy their needs more clearly. The majority of the companies in the restaurant sector is looking for some software that improves the quality of delivery and increasing revenue. In a typical system, the waiter records the customer's order, and then put the order in to the kitchen, and then billing is done, which spends a lot of time and might lead to errors. The goal of this project is to automate the process of ordering food from the table in a restaurant and reserving a table, as well as to improve the quality of their customer service. Smart Restaurant is a concept of a restaurant's business that is based on the use of state-of-the-art technology from reservation to the order and the customer sign a relationship with you. The traditional restaurant will be replaced with the help of a smartphone, a tablet, or a graphical user interface and interactive touch screens. Customers will have to order their food via mobile phones by scanning a QR code on a table, as they are directly linked to the kitchen via a central server. In addition, our records are permanently stored on a central server, which can then be used for the marketing, distribution and sales. A smart restaurant, decrease the number of staff who work at the hotel-services, so as to increase the profit margins. The kitchen is going to be one of the interfaces which will be provided in accordance with the following priority (first-come-first-served). This app will help you to find more detailed information on the restaurant and its services, as well as the ease of ordering food and reservation table.
Are all Gaussian states also cluster states? Essential diagnostic tools for continuous-variable one-way quantum computing

Continuous-variable (CV) cluster states are a universal quantum computing platform that has experimentally out-scaled qubit platforms by orders of magnitude. Room-temperature implementation of CV cluster states has been achieved with quantum optics by using multimode squeezed Gaussian states. It has also been proven that fault tolerance thresholds for CV quantum computing can be reached at realistic squeezing levels. In this paper, we show that standard approaches to design and characterize CV cluster states can miss entanglement present in the system. Such hidden entanglement may be used to increase the power of a quantum computer but it can also, if undetected, hinder the successful implementation of a quantum algorithm. By a detailed analysis of the structure of Gaussian states, we derive an algorithm that reveals hidden entanglement in an arbitrary Gaussian state and optimizes its use for one-way quantum computing.
LibGuides: Instructional Services: Library Support for Online Instruction: Embedded Librarians

This guide provides information on how Idaho State University libraries supports faculty who teach online courses. An librarian is a librarian who participates in your course as an instructional partner, by providing resources, participating in discussion forums, and more. This page provides more information on the role of an embedded librarian, and how to
Guides: Adding MUSC Libraries' Resources to Brightspace: Link to Known Books or Articles

This guide is for MUSC instructional designers, course developers, faculty, and staff that want to follow best practices to include accessible links to library resources in Brightspace.
Monitoring Sistem Otomatisasi Hidroponik Berbasis Mobile

Hydroponic farming systems have been widely applied in agriculture. The use of technology for automatic hydroponic systems is also being developed. The automated hydroponic system can automatically control the nutrient content in the water, which is the main element in the hydroponic farming system. In addition, control can also be carried out for water pH levels, water temperature, which is also essential to consider in a hydroponic planting system. Although the automatic hydroponic system can work independently, remote monitoring is needed to determine whether the automation system is working correctly or not. This research develops an automated hydroponic system on the side of mobile-based data monitoring. Through the development of a mobile-based monitoring system, the data for each sensor can be easily identified. The monitoring system can also find out whether the sensors in the automatic hydroponic system are working well or not. The method in software development uses the waterfall, while the manufacture of mobile applications uses framework 7. The results of this study are an Android-based mobile application that functions to monitor the condition of hydroponic plants. This application is connected to Arduino devices on hydroponics via cloud service.
A Study on Implementation Determinants for diffusion of Smart Factory : Focusing on SMEs in Korea

Industrial 4.0 is a comprehensive convergence of IT and industry, including AI, big data, robots, autonomous vehicles, and smart factories. The most representative field is the smart factory. The Korean government is also expanding support projects aimed at distributing 30,000 smart factories by 2022 to SMEs. However, despite the government
Download WeChat for PC/Laptop Windows 10/7/8 on 7Downloads

You want to use WeChat for PC, don’t you? Even if you don’t know, there is an easy way to use that popular social messaging app on your computer. ...
대학특성화사업에 대한 대학생 중요도-성취도 연구 : K 대학 Green and Blue 관광 특성화사업 중심으로

The purpose of this study is to present practical tourism education program which is necessary to help four-year university students with their tourism major. To investigate students’ perceptions on the Creative Korean(CK) project for university characterization, using a sample of 141 and IPA analysis applied to develop suggestions to improve the educational system on a two-dimensional matrix. The findings are as follows. Students who attended CK Tourism Program of K University suggested quadrantⅠ(keep it up) attributes, such as service mind, escape from theory education, understanding corporate cultures, teamwork, gain certificates and licenses, programs multiplicity, global standard, education facilities and utilization of materials. Concentrative attributes(quadrant Ⅱ) were necessary to increase in understanding of tourism major. Low priority (quadrant Ⅲ) were suggested attributes, such as field education, empirical education, interchange expert, global education, supporting employment. To overcome low attributes(quadrant Ⅳ), time management should be necessary to change students’ perception about CK. Even though survey methods and used attributes may be limitations of this study, related research will be continued to overcome some limitations.
PENGARUH PENGGUNAAN MEDIA VIDEO ANIMASI DALAM MENINGKATKAN KETERAMPILAN MEMBACA PERMULAAN PADA SISWA KELAS 1/A SD NEGERI 32 BANDA ACEH

Reading is an important activity in everyday life, because reading is not only to obtain information, but serves as a tool to expand one's language knowledge. Therefore, there is a need for early reading skills that must be possessed by early childhood. Then, research was conducted to find out the effect of the use of video animation media in improving initial reading skills in grade 1 / A students of public primary school 32 Banda Aceh. This research refers to a quantitative approach. The research step uses several data collection techniques, namely; (1) oral techniques (post test / pre-test); (2) documentation. And data analysis techniques, namely; (1) frequency distribution rusmus; (2) average test; (3) standard deviation formula; (4) data normalist test; (5) hypothesis testing. Based on the results of data processing, researchers can conclude that the application of animated video media has an effect on increasing students' reading reading, as evidenced by the average value before the application of animated video media 73,3448 increased to 81,328 after the application of animated video media. This result is also strengthened by the results of testing the hypothesis that is tcount> ttable (2.893> 2.052), thus Ho is rejected and Ha is accepted. So it can be concluded that the animation video learning media influences the reading skills of the beginning of grade 1 / A students of public primary school 32 Banda Aceh.
Felician University Libraries: Company & Industry Research: Journal Articles

This guide is intended to help students conduct research on specific companies and/or industries.
Generative Archimedean Copulas

We propose a new generative modeling technique for learning multidimensional cumulative distribution functions (CDFs) in the form of copulas. Specifically, we consider certain classes of copulas known as Archimedean and hierarchical Archimedean copulas, popular for their parsimonious representation and ability to model different tail dependencies. We consider their representation as mixture models with Laplace transforms of latent random variables from generative neural networks. This alternative representation allows for computational efficiencies and easy sampling, especially in high dimensions. We describe multiple methods for optimizing the network parameters. Finally, we present empirical results that demonstrate the efficacy of our proposed method in learning multidimensional CDFs and its computational efficiency compared to existing methods.
A Methodology guided by Decision Trees Ensemble and Smart Data for Imbalanced Big Data

Differences in data size per class, also known as imbalanced data distribution, have become a common problem affecting data quality. Big Data scenarios pose a new challenge to traditional imbalanced classification algorithms, since they are not prepared to work with such amount of data. Split data strategies and lack of data in the minority class due to the use of MapReduce paradigm have posed new challenges for tackling the imbalance between classes in Big Data scenarios. Ensembles have shown to be able to successfully address imbalanced data problems. Smart Data refers to data of enough quality to achieve high performance models. The combination of ensembles and Smart Data, achieved through Big Data preprocessing, should be a great synergy. In this paper, we propose a novel methodology based on Decision Trees Ensemble with Smart Data for addressing the imbalanced classification problem in Big Data domains, namely DeTE_SD methodology. This methodology is based on the learning of different decision trees using distributed quality data for the ensemble process. This quality data is achieved by fusing Random Discretization, Principal Components Analysis and clustering-based Random Oversampling for obtaining different Smart Data versions of the original data. Experiments carried out in 21 binary adapted datasets have shown that our methodology outperforms Random Forest.
Towards Using Package Centrality Trend to Identify Packages in Decline

Due to its increasing complexity, today's software systems are frequently built by leveraging reusable code in the form of libraries and packages. Software ecosystems (e.g., npm) are the primary enablers of this code reuse, providing developers with a platform to share their own and use others' code. These ecosystems evolve rapidly: developers add new packages every day to solve new problems or provide alternative solutions, causing obsolete packages to decline in their importance to the community. Developers should avoid depending on packages in decline, as these packages are reused less over time and may become less frequently maintained. However, current popularity metrics (e.g., Stars, and Downloads) are not fit to provide this information to developers because their semantics do not aptly capture shifts in the community interest. In this paper, we propose a scalable approach that uses the package's centrality in the ecosystem to identify packages in decline. We evaluate our approach with the npm ecosystem and show that the trends of centrality over time can correctly distinguish packages in decline with a ROC-AUC of 0.9. The approach can capture 87% of the packages in decline, on average 18 months before the trend is shown in currently used package popularity metrics. We implement this approach in a tool that can be used to augment npms metrics and help developers avoid packages in decline when reusing packages from npm.
역량기반 교육과정의 범교과적 접근 방식 탐색: 에스토니아, 핀란드, 호주, 캐나다를 중심으로

The purpose of this study was to analyze the cross-curricular approaches that appear in the competency-based curriculum and to derive implications for the future Korean national curriculum development. For this, literature research was conducted to analyze foreign national curriculum and related materials on Estonia, Finland, Australia, and BC Canada. As results, in terms of the status, it is reinforcing its status by revealing the cross-curricular competencies or themes in the curriculum structure or statement, and supporting implementation. In terms of elements and contents, cross-curricular competencies and themes are specified, and the linkage between competencies, cross-curricular themes, and subjects learning are improved. In the operation method, topic-oriented and integrated approaches, contextual learning in connection with life, and competency evaluation are emphasized. Based on main results, four implications were proposed in terms of the status, elements and contents, and the operation method of the cross-curricular approaches.
Asset-Backed Tokens of Guarantees of Origin from Renewable Energy Sources

With a focus on the guarantees of origin certificates market, we describe the financial aspects of originating Asset-Backed Tokens in effectively mobilising funds to sustainable infrastructure investments. As economic disintermediation challenges energy regulation, it is of great significance to propose a blockchain-based market design whereby savings kept in decentralised e-wallets can be directly linked to energy consumption from renewable sources via IOU cryptocurrencies while producers raise capital at lower cost. These ABTs resemble to perpetual zero-coupon bonds issued below par. Yet, they are convertible to liquid money due to an embedded American put (soft) option readily settle originator’s energy bills at a discount compared to the economy’s functional (traditional fiat) currency.