Reviewerly/exHarmony huggingface dataset:
미중 패권 갈등이 한반도 평화에 미치는 영향

The rise of China in the 21st century emerged as a force to break down the phenomenon that threatens the existing order in terms of the balance of power in the Northeast Asian region, and the emergence of China threatens peace through the power of the United States to envision the existing order and hegemony strategy in Northeast Asia. It appeared as an enemy. The realization of the “China Dream” proclaimed by China will inevitably lead to conflict with the US strategy for supremacy in Northeast Asia. The conflict for supremacy between the US and China in Northeast Asia appears in two main directions, and the first is the economic conflict. The US has been building economic cooperation with China so far, but has been pursuing a strategy of “decoupling” since 2019 to break away from economic closeness with China and promote economic separation. The US is now China’s high-tech industry. In addition to sanctions on Huawei, it is economically imposing sanctions on China by imposing sanctions on SMIC, a foundry company that is fostering as a key national industry in China. It is struggling with China over time. In particular, the Taiwan issue is related to the core interests of China. After the diplomatic relations between China and the United States were established, the United States has played a role in the mediator of the conflict from China against Taiwan in this region through the Taiwan Relations Act. Accordingly, tensions surrounding Taiwan are increasing by strengthening relations with Taiwan and projecting military power into the region. As a situation in Korea, the conflict for supremacy between the US and China in Northeast Asia is a burdensome situation in that it is divided into the Korean peninsula. In particular, if a long-term strategy is not devised for the reunification issue as well as the inter-Korean issue, in the issue of the US-China hegemony conflict, a major change can come in the peace and stability of the Korean Peninsula. In terms of peace and unification on the Korean peninsula, as well as in the denuclearization of the Korean peninsula, the issue of hegemony conflict between the United States and China, and the drive for unification on the Korean peninsula can be a factor of rapid geopolitical changes in countries in Northeast Asia. In the end, the journey for peace and reunification on the Korean Peninsula, diplomatic environment, and problem-solving process for the denuclearization of the Korean peninsula are inevitably great challenges for us. Therefore, it can be said that Koreas strategy is to form diverse networks based on the ROK-US alliance and maintain a flexible balanced relationship.
Introducing Mouse Actions into Interactive-Predictive Neural Machine Translation

The quality of the translations generated by Machine Translation (MT) systems has highly improved through the years and but we are still far away to obtain fully automatic high-quality translations. To generate them and translators make use of Computer-Assisted Translation (CAT) tools and among which we find the Interactive-Predictive Machine Translation (IPMT) systems. In this paper and we use bandit feedback as the main and only information needed to generate new predictions that correct the previous translations. The application of bandit feedback reduces significantly the number of words that the translator need to type in an IPMT session. In conclusion and the use of this technique saves useful time and effort to translators and its performance improves with the future advances in MT and so we recommend its application in the actuals IPMT systems.
Analysis of the formation of the methodological readiness of future teachers of musical art

The principal goal of the study is the formation and experimental verification of the effectiveness and efficiency of the model of criteria for the formation of the components of the methodological readiness of the future music teacher and their indicators based on the praxeological approach. The control section and comparison of the results of the experimental and control groups of future teachers showed that the proposed model of criteria for the formation of the components of the methodological readiness of the future music teacher and their indicators based on the praxeological approach is effective, it contributes to the formation of incentives and value orientations for mastering methodological activities, understanding the essence, characteristics and requirements methodological activity, the ability to creatively implement effective methodological activity, the formation of emotionally volitional involvement in methodological activity.
Peningkatan Hasil Belajar PAI Materi Berwudhu Melalui Metode Demonstrasi Pada Peserta Didik Kelas II di SDN Hargowilis

This study aims to determine the increase in learning outcomes of ablution material after using the demonstration method. This research is a classroom action research conducted on second grade students at SD Negeri Hargowilis. The subjects of this study were second grade students at SD Negeri Hargowilis, Kokap, Kulon Progo semester 1 of the 2018/2019 academic year. This research was conducted in two cycles, with each cycle consisting of action planning, action implementation, observation, andreflection. The results showed that the implementation of learning ablution material using the demonstration method could improve student learning outcomes in class II SD Negeri Hargowilis, Kokap, Kulon Progo. The increase in learning outcomes is indicated by an increase in learning activities by 15.2% and the number of students who achieve learning completeness as much as 90%.
Government of India Schemes in A Single App Using Voice Interface

The proposed App is user friendly and contains all the Yojanas (schemes) implemented by GOVERNMENT OF INDIA (States and UT’s). The user gets to know the details of schemes that have been implemented so far. Registration of the scheme is available with every scheme. Most of the schemes introduced by the government remain unused because of the fact that officials who implement them fail to spread awareness about the scheme. There will be description about every scheme and also the direct link of the government websites to which the user can view and get use of it. The categories under this schemes are: Disabled, Employment, Digital India, Agriculture, Women & child care, Education, Health, Urban Development, Rural Development, Protecting our Ganga, Fisherman, Finance, Come Let’s Fly, Electricity to all, Cook with LPG. Addition to these Schemes and Registration process, there is a voice interface, which is used by people to search the category they wanted. There is also an All India Radio (AIR) button, where people can listen to the Radio in all Indian languages, can hear: news, emergency information, and songs. To use this App, Guidelines are also provided on how to use this App. For other Government services, direct download  linkof the Government Apps are provided. Using this App, Citizens of India gets utilized and there is also a knowledge created while studying about these Schemes.
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions

This paper presents Macquarie University's participation to the BioASQ Synergy Task, and BioASQ9b Phase B. In each of these tasks, our participation focused on the use of query-focused extractive summarisation to obtain the ideal answers to medical questions. The Synergy Task is an end-to-end question answering task on COVID-19 where systems are required to return relevant documents, snippets, and answers to a given question. Given the absence of training data, we used a query-focused summarisation system that was trained with the BioASQ8b training data set and we experimented with methods to retrieve the documents and snippets. Considering the poor quality of the documents and snippets retrieved by our system, we observed reasonably good quality in the answers returned. For phase B of the BioASQ9b task, the relevant documents and snippets were already included in the test data. Our system split the snippets into candidate sentences and used BERT variants under a sentence classification setup. The system used the question and candidate sentence as input and was trained to predict the likelihood of the candidate sentence being part of the ideal answer. The runs obtained either the best or second best ROUGE-F1 results of all participants to all batches of BioASQ9b. This shows that using BERT in a classification setup is a very strong baseline for the identification of ideal answers.
Ethnic Diversity and Capital Formation in West African Countries

This paper investigates how ethnic diversity influenced capital formation in West African countries using a cross-country dataset ranging from 1991 to 2017. Using the fully modified ordinary least square method, the results showed that one of the important factors responsible for capital formation in the region is ethnic diversity. Other factors found influencing capital formation in the region were interest rate, foreign direct investment, inflation rate and financial development. Thus, the government should ensure that the countries' resources are not controlled and beneficial to the people with the same cultural groups as it accounted for the poor state of the region's investment base.
LibGuides: Voter Guide: The Voter Project

A guide to voting in Pennsylvania. Unsure about the voter registration process? Looking for information on voter fraud and election security? Want to find out how to get involved and volunteer? Look no more! It's all here.
The Implementation of Numbered Head Together (NHT) in Improving Reading Comprehension Skill of The Eight Grade Students of SMP Negeri 16 Banda Aceh

Students’ reading comprehension skill in English is influenced by the methods used by the English teacher in class. The aims of the study are: 1) to find out improvement of students at SMP Negeri 16 Banda Aceh in reading comprehension after they were taught by using NHT, and 2) to find out if there is a significant difference between the students’ taught by using NHT and those taught without using it. The result of this study showed that the t-score of two means between post-test of experimental and control group was 2.15; thus, the t -test is higher than critical value of t-test for the degree freedom of 58 (2.00) at the level of significance 0.05. Based on the result of the study, the English teachers of SMP Negeri 16 Banda Aceh were encouraged to use NHT (Numbered Heads Together) in teaching reading comprehension because it can increase the students' ability in mastering the subject. It means that there is a significant difference between the students’ ability of SMP Negeri 16 Banda Aceh taught by using NHT and those taught without it in mastering reading comprehension.
Computation of sandwiched relative alpha-entropy of two n-mode gaussian states

A formula for the sandwiched relative $\alpha$-entropy $\widetilde{D}_\alpha(\rho\vert\vert\sigma)=\frac{1}{\alpha-1}\, \ln\,{\rm Tr}\, \left(\sigma^{\frac{1-\alpha}{2\alpha}}\,\rho\,\sigma^{\frac{1-\alpha}{2\alpha}}\right)^\alpha$ for $0 < \alpha < 1$, of two $n$ mode gaussian states $\rho$, $\sigma$ in the boson Fock space $\Gamma(\mathbb{C}^n)$ is presented. This computation extensively employs the $\mathcal{E}_2$-parametrization of gaussian states in $\Gamma(\mathbb{C}^n)$ introduced in J. Math. Phys. {\bf 62} (2021), 022102.
WRITTEN AND ORAL FEEDBACK IN WRITING CLASS

As one of the skills in English, writing plays an essential role for students, especially in the academic setting. In line with, sometimes students find writing skill challenging to learn, and it may not be easy for teachers to improve their writing ability. Consequently, teacher feedback is needed to enhance students' ability in writing. In order to consider the feedback quality implemented, we need to know from the learners' perspective. Therefore, this conceptual article aims to investigate the distinctive of both oral and written teacher's feedback in writing based on students' perceptions and see which teacher's feedback type is best in improving students' writing ability. The results show that, regardless of the feedback form, students' improvement in writing could have no relation between feedback choice and the quality of revisions. As such, it may be necessary to make practical and even workable discussions and concerns between students and teachers, that oral and written input can be combined to improve student writing better. By way of making the students and teacher feel realistic and even feasibly in the discussion, it is better to implement written feedback that followed by oral feedback. Keywords: Written feedback, Oral feedback, Writing Class
Encuesta de percepción, actitudes, prácticas y conocimientos de la comunidad de la División de Ciencias Naturales y Exactas de la Universidad de Guanajuato ante la pandemia de COVID-19

Resumen La epidemia de COVID-19 fue declarada por la OMS una emergencia de salud publica de preocupacion internacional el 30 de enero de 2020. Debido a la magnitud de la pandemia y su impacto en el desarrollo de las actividades academicas, se torna importante conocer el statu quo que vive la comunidad estudiantil, academica y administrativa que conforman a la Division de Ciencias Naturales y Exactas (DCNE) del campus Guanajuato de la Universidad de Guanajuato (UG) para contar con elementos objetivos que sirvan como referente para hacer frente a esta situacion. Se decidio usar una encuesta CAP (conocimientos, actitudes y practicas), anadiendo preguntas sobre percepcion de la comunidad DCNE ante el COVID-19 para hacer mas completa la informacion generada. Entre el 20 de Julio y el 31 de Julio del 2020, se realizo la encuesta a traves de la plataforma Microsoft Forms. El instrumento consta de 14 preguntas y se aplico a una muestra de 263 personas conformada por estudiantes, personal academico y personal administrativo de la DCNE. Palabras Clave : Pandemia, COVID-19, SARS-CoV-2 Abstract The COVID-19 epidemic was declared by the WHO a public health emergency of international concern on January 30, 2020. Due to the magnitude of the pandemic and its impact on the development of academic activities, it is important to know the status of Quo that the student, academic and administrative community that make up the Division of Natural and Exact Sciences (DCNE) campus Guanajuato, University of Guanajuato (UG) lives to have objective elements that serve as a reference to face this situation. It was decided to use a CAP survey (knowledge, attitudes and practices), adding questions about the perception of the DCNE community regarding COVID-19 to make the information generated more complete. Between July 20 and July 31, 2020, the survey was conducted through the Microsoft Forms platform. The instrument consists of 14 questions and was applied to a sample of 263 people made up of students, academic staff and administrative staff of the DCNE. Key words : Pandemic, COVID-19, SARS-CoV-2
Three-step self-calibrating generalized phase-shifting interferometry

An accurate and fast three-step self-calibrating generalized phase-shifting interferomertry (SGPSI) is proposed. In this approach, two new phase-shifting signals are constructed by the difference interferograms normalization and noise suppressing, then the unknown phase shift between the two difference phase-shifting signals is estimated quickly through searching the minimum coefficient of variation of the modulation amplitude, a limited number of pixels are selected to participate in the search process to further save time, and finally the phase is reconstructed through the searched phase shift. Through the reconstruction of phase map by the simulation and experiment, and the comparison with several mature algorithms, the good performance of the proposed algorithm is proved, and it eliminates the limitation of requiring more than three phase-shifting interferograms for high-precision SGPSI. We expect this method to be widely used in the future.
A review of Quantum Neural Networks: Methods, Models, Dilemma

The rapid development of quantum computer hardware has laid the hardware foundation for the realization of QNN. Due to quantum properties, QNN shows higher storage capacity and computational efficiency compared to its classical counterparts. This article will review the development of QNN in the past six years from three parts: implementation methods, quantum circuit models, and difficulties faced. Among them, the first part, the implementation method, mainly refers to some underlying algorithms and theoretical frameworks for constructing QNN models, such as VQA. The second part introduces several quantum circuit models of QNN, including QBM, QCVNN and so on. The third part describes some of the main difficult problems currently encountered. In short, this field is still in the exploratory stage, full of magic and practical significance.
Universities Beyond 2020

Abstract Universities play an important role as leaders in teaching and learning, in education, research and technology. Through their teaching activities, universities provide professional training for high-level jobs, as well as the education necessary for the development of the individual.
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data

Quantitative analysis of large-scale data is often complicated by the presence of diverse subgroups, which reduce the accuracy of inferences they make on held-out data. To address the challenge of heterogeneous data analysis, we introduce DoGR, a method that discovers latent confounders by simultaneously partitioning the data into overlapping clusters (disaggregation) and modeling the behavior within them (regression). When applied to real-world data, our method discovers meaningful clusters and their characteristic behaviors, thus giving insight into group differences and their impact on the outcome of interest. By accounting for latent confounders, our framework facilitates exploratory analysis of noisy, heterogeneous data and can be used to learn predictive models that better generalize to new data. We provide the code to enable others to use DoGR within their data analytic workflows.
Evaluation of Chatbots Usability Experimentation (S)

Context: The interest in developing chatbots is on the rise as the usability evaluation is an essential step in the chatbot development process; the number of experimental studies of chatbot usability has grown as well.Objective: Aggregating and concluding the features and metrics used to evaluate the usability of chatbots in experiments, to identify the state of the art of chatbots usability experimentation.Method: A systematic mapping study has been conducted, searching in five scientific databases.Results: Of 363 papers, 14 papers with experiments were selected as the primary studies.The published works in this area were initiated in 2018.Control tools are applied commonly in experiments.Various advantages and shortages of chatbot usability experiments were revealed, for example, most of the experiments do not provide raw data, and only one of the identified works replicated the experiment.Conclusions: An increased interest in usability experimentation of chatbots is observed in recent years.The chatbot usability experiment should be more replicable to improve the reliability of experimental results.
Improved RAMEN: Towards Domain Generalization for Visual Question Answering

Currently nearing human-level performance, Visual Question Answering (VQA) is an emerging area in artificial intelligence. Established as a multi-disciplinary field in machine learning, both computer vision and natural language processing communities are working together to achieve state-of-the-art (SOTA) performance. However, there is a gap between the SOTA results and real world applications. This is due to the lack of model generalisation. The RAMEN model \cite{Shrestha2019} aimed to achieve domain generalization by obtaining the highest score across two main types of VQA datasets. This study provides two major improvements to the early/late fusion module and aggregation module of the RAMEN architecture, with the objective of further strengthening domain generalization. Vector operations based fusion strategies are introduced for the fusion module and the transformer architecture is introduced for the aggregation module. Improvements of up to five VQA datasets from the experiments conducted are evident. Following the results, this study analyses the effects of both the improvements on the domain generalization problem. The code is available on GitHub though the following link \url{https://github.com/bhanukaManesha/ramen}.
UC Modelling and Security Analysis of the Estonian IVXV Internet Voting System

Estonian Internet voting has been used in national-wide elections since 2005. However, the system was initially designed in a heuristic manner, with very few proven security guarantees. The Estonian Internet voting system has constantly been evolving throughout the years, with the latest version (code-named IVXV) implemented in 2018. Nevertheless, to date, no formal security analysis of the system has been given. In this work, for the first time, we provide a rigorous security modeling for the Estonian IVXV system as a ceremony, attempting to capture the effect of actual human behavior on election verifiability in the universal composability (UC) framework. Based on the voter behavior statistics collected from three actual election events in Estonia, we show that IVXV achieves end-to-end verifiability in practice despite the fact that only $4\%$ (on average) of the Estonian voters audit their ballots.
La figura del facilitatore linguistico: un’esigenza dei contesti scolastici plurilingui per la comunicazione tra agenzie formative, docenti, studenti e famiglie. I risultati di un’indagine

The presence of learners with a migrant background requires the educational system to be geared especially with regards to educational communication. In the school context, there has recently been a transition from a situation of greater stability to a context in which change and therefore discontinuity are on the agenda. This brings great opportunities thanks to the multitude of stimuli presented and offered to students, but at the same time a dangerous risk of early school leaving. The essay will discuss some data of educational and language educational nature, related to a multidisciplinary research, started from 2019/2020, related to the communication between schools, teachers, students, and their families, during SARS-CoV-2 health emergency.
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping

We describe a deep high-dynamic-range (HDR) image tone mapping operator that is computationally efficient and perceptually optimized. We first decompose an HDR image into a normalized Laplacian pyramid, and use two deep neural networks (DNNs) to estimate the Laplacian pyramid of the desired tone-mapped image from the normalized representation. We then end-to-end optimize the entire method over a database of HDR images by minimizing the normalized Laplacian pyramid distance (NLPD), a recently proposed perceptual metric. Qualitative and quantitative experiments demonstrate that our method produces images with better visual quality, and runs the fastest among existing local tone mapping algorithms.