Reviewerly/exHarmony huggingface dataset:
Cross Cultural Pragmatics: Compliment Response Strategy Used on the British and Indonesian Talk show

This research aims at comparing the pattern of compliment response strategy used by two different cultures between British’s and Indonesia’s talk show. The method used is descriptive qualitative research. The data is taken from “Loose Women” (British Talk Show) and “Tonight Show” (Indonesian Talk Show). The data collections are done as follows: first, download the video of “Tonight Show” and “Loose Women”. Second, observed both videos and then compared the video. The last transcribed the compliment response and then choose the pattern of compliment response strategy based on the theory of (R. Herbert, 1989) to be analyzed further. The result shows that strategy of no acknowledgment gets a higher percentage in “Tonight Show” that is (31.03%), this strategy as the first usage in the compliment response strategy, disagreement strategy gets (23.07%) and as the second usage in the compliment response strategy, the third usage is appreciation token strategy (17.24%) in responding the compliment. Meanwhile, the Talk Show entitled “Loose Women” (British Talkshow), the higher strategy is comment acceptance (28%), appreciation token, return, and no acknowledgement strategy(16%). It can be concluded that the most prominent used in both Talk show are no acknowledgement strategy and comment acceptance strategy. Those both strategies is included rejection pattern in responding the compliment. In this case, British tends to receive the praise and respond to what was discussed and even they provide additional information with the intention of keeping the communication going, it means that they are open in responding to what was discussed, but that contrasts with Indonesia culture, Indonesian people intended to humble themselves and minimize the things commented on praise as an expression of humility. It means that they do not want to be seen as an arrogant artist or public figure. They only want to keep their image as an artist.
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning

Despite speaker verification has achieved significant performance improvement with the development of deep neural networks, domain mismatch is still a challenging problem in this field. In this study, we propose a novel framework to disentangle speaker-related and domain-specific features and apply domain adaptation on the speaker-related feature space solely. Instead of performing domain adaptation directly on the feature space where domain information is not removed, using disentanglement can efficiently boost adaptation performance. To be specific, our model's input speech from the source and target domains is first encoded into different latent feature spaces. The adversarial domain adaptation is conducted on the shared speaker-related feature space to encourage the property of domain-invariance. Further, we minimize the mutual information between speaker-related and domain-specific features for both domains to enforce the disentanglement. Experimental results on the VOiCES dataset demonstrate that our proposed framework can effectively generate more speaker-discriminative and domain-invariant speaker representations with a relative 20.3% reduction of EER compared to the original ResNet-based system.
Artistic Skills and Scientific Abilities in Architectural Education

The integration between art and science is required for the student in the department of architecture. This paper concentrates on the importance of integration between artistic skills and scientific abilities for the student to achieve high quality level of learning in the department of architecture in Iraq. It analyses the criteria of the architectural education and the educational method used. It demonstrates the integration relationship between art, science and architecture. It follows a descriptive analyses methodology to investigate the skills and abilities required for the student to cope with the criteria of architectural education. It conducted a case study on students in the department of architecture in Iraq to explore the impact of having these skills and abilities on the student’s progression. It explains why a few students only graduate with high grades. The results obtained showed that the integration between artistic skills and scientific abilities is very important for the students. On the other hand, developing the artistic skills is harder than developing the scientific abilities in architectural education.
Penilaian Kinerja dan AKNOP Daerah Irigasi Rawa DR Malind Kabupaten Merauke, Provinsi Papua

The Malind Swamp area (DR. MALIND) of 3,000 Ha is located +60 Km to the Northwest of the city of Merauke. The Malind Swamp area consists of 4 (four) irrigation networks, i.e: Kurik 1 (Rawasari); Kurik 3 (Padang Raharja); Kurik 5 (Suka Maju); and Kumbe. Swamp Irrigation is a supply bussines, regulate and dispose of water through a swamp irrigation network in the agricultural cultivation area. An assessment of the level of performance and the magnitude of the Operations and Maintenance Number of Need (AKNOP) to be implemented with stages: inventarisation and indentification irrigation networks and water building swamp irrigations; operation and maintenance cost calculation to get AKNOP irrigation networks and swamp irrigation infrastructure buildings.Performance assessment results of DR Malind irrigation network: Kurik 1, bad - network function value 33.56%; Kurik 3, bad - network function value 44.79%; Kurik 5, bad - network function value 42.71%; and Kumbe, bad network function value 14.25%. This shows that the swamp irrigation network in regulating water management or water management in most of the areas is not functioning properly because the canals and most of the water structures are damaged. The total cost of operating and maintaining the DR Malind swamp irrigation area is Rp. 5,988,014,824 per year with details: Operating costs = Rp.440,244,960; Routine maintenance costs = Rp. 866,924,944; Periodic maintenance costs = Rp. 4,468,844,824; Operating &amp; maintenance costs per Ha = Rp. 1,996,005; O&amp;M Cost per-m 'main irrigation channel = Rp.60,947
Study on the Assessment of the Quality of Experience of Streaming Video

Dynamic adaptive streaming over HTTP provides the work of most multimedia services, however, the nature of this technology further complicates the assessment of the QoE (Quality of Experience). In this paper, the influence of various objective factors on the subjective estimation of the QoE of streaming video is studied. The paper presents standard and handcrafted features, shows their correlation and p-Value of significance. VQA (Video Quality Assessment) models based on regression and gradient boosting with SRCC reaching up to 0.9647 on the validation subsample are proposed. The proposed regression models are adapted for applied applications (both with and without a reference video); the Gradient Boosting Regressor model is perspective for further improvement of the quality estimation model. We take SQoE-III database, so far the largest and most realistic of its kind. The VQA (video quality assessment) models are available at https://github.com/AleksandrIvchenko/QoE-assesment
Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation.

For unpaired image-to-image translation tasks, GAN-based approaches are susceptible to semantic flipping, i.e., contents are not preserved consistently. We argue that this is due to (1) the difference in semantic statistics between source and target domains and (2) the learned generators being non-robust. In this paper, we proposed a novel approach, Lipschitz regularized CycleGAN, for improving semantic robustness and thus alleviating the semantic flipping issue. During training, we add a gradient penalty loss to the generators, which encourages semantically consistent transformations. We evaluate our approach on multiple common datasets and compare with several existing GAN-based methods. Both quantitative and visual results suggest the effectiveness and advantage of our approach in producing robust transformations with fewer semantic flipping.
Robustness Threats of Differential Privacy

Differential privacy (DP) is a gold-standard concept of measuring and guaranteeing privacy in data analysis. It is well-known that the cost of adding DP to deep learning model is its accuracy. However, it remains unclear how it affects robustness of the model. Standard neural networks are not robust to different input perturbations: either adversarial attacks or common corruptions. In this paper, we empirically observe an interesting trade-off between privacy and robustness of neural networks. We experimentally demonstrate that networks, trained with DP, in some settings might be even more vulnerable in comparison to non-private versions. To explore this, we extensively study different robustness measurements, including FGSM and PGD adversaries, distance to linear decision boundaries, curvature profile, and performance on a corrupted dataset. Finally, we study how the main ingredients of differentially private neural networks training, such as gradient clipping and noise addition, affect (decrease and increase) the robustness of the model.
A Self-adapting Face Authentication System with Deep Learning

Recent years have witnessed lots of development on face recognition systems including the ability to adapt to new genuine user features. Self-adapted Face Recognition systems are powerful tools to overcome the limitation of performance degradation over time. In this paper, a self-adapted face verification system (AFVS) that can efficiently classify genuine user samples for the update process using deep learning techniques has been proposed. The adaptivity feature of the proposed system model ensures performance stability in the long run. The proposed model has been developed using deep learning techniques which showed improved performance on Krassar model with higher F1-score and more tolerance to facial changes than the state-of-the-art face verification models.
Research on Innovation of Financial Management Model Based on Cloud Computing

Against the background of the rapid development of big data and big data analysis technologies, cloud computing service providers provide services to enterprises and individuals. In many large enterprises, by setting up a cloud computing platform environment, multiple services within the enterprise are placed on the cloud platform to provide resource sharing services for various departments. With the dramatic improvement in computing performance of computer clusters, big data and cloud computing technologies are maturing. We combine cloud computing with financial management services, and use modern technical means to innovate financial management models; we will change the financial management model of enterprises by building financial sharing service centers, thereby providing more efficient financial management services. Based on the research of cloud computing technology, this paper expounds the application of cloud computing in financial sharing, and explores the transformation of financial management models in the context of cloud computing. Fully clarify the principles and procedures for the construction of financial sharing service centers based on cloud computing, and discuss the basic structure of financial cloud management. Finally, we discuss the operation model of financial management based on cloud computing to provide a reference for researchers in financial management.
Epigraphic Squeezes: Digitisation, Publication, and Enhancement

"Epigraphic squeezes are a key tool for research and teaching. They also have historical and documentary value. They are reliable copies of inscribed text and become the only evidence that remains if inscriptions are lost or destroyed. This paper describes the Venice Squeeze Project for the preservation and enhancement of epigraphic squeezes in the Department of Humanities at Ca’ Foscari University of Venice. For the initial phase of the project, the Ca’ Foscari University collection of epigraphic squeezes was published in the digital ektypotheke E-stampages. The current phase involves developing a web application to digitise epigraphic squeezes according to the metadata architecture of E-stampages. The first part of this paper describes the background of the Venice Squeeze Project and methodological issues, which fostered the partnership with E-stampages. The second part describes the relational database that was set up to digitise the Ca’ Foscari collection. The third part introduces the project initiatives to promote a network of Italian institutions interested in digitizing their collections of epigraphic squeezes. Keywords: Greek epigraphy, squeezes, database architecture"
Asymptotic normality of modified LS estimator for mixture of nonlinear regressions

We consider a mixture with varying concentrations in which each component is described by a nonlinear regression model.A modified least squares estimator is used to estimate the regressions parameters.Asymptotic normality of the derived estimators is demonstrated.This result is applied to confidence sets construction.Performance of the confidence sets is assessed by simulations.
An Analysis of the Strategies for Developing Students’ Consciousness of Pronunciation and Intonation in College English Teaching Based on the International Communication

Under the background of international communication, college students’ English listening and speaking ability has been put forward higher requirements. Improving college students’ awareness of pronunciation and intonation is an effective way to solve this problem. The typical problems of college students in pronunciation and intonation are poor pronunciation, inaccurate intonation and inadequate pronunciation and intonation. The formation of these problems is multifaceted, including the lack of students’ awareness of pronunciation and intonation, the lack of teachers’ awareness of pronunciation and intonation, etc. In terms of strategies to improve students’ awareness of pronunciation and intonation, we can adopt the following ways: First, train a group of teachers with awareness of pronunciation and intonation. Secondly, we should infiltrate the training of pronunciation and intonation in classroom teaching. Thirdly, we should combine the teaching of pronunciation and intonation with the traditional English teaching methods. It is believed that through the implementation of these strategies, students can quickly improve their awareness of English pronunciation and intonation, and then help them master English faster and better.
EXPERIENCE IN DESIGNING AN ELECTRONIC TRAINING COURSE ON MATHEMATICAL ANALYSIS IN THE MOODLE SYSTEM

Currently, the use of e-learning technologies is coming to the fore in education. This is most relevant in the context of higher education, where there is a predominance of modern pedagogical technologies, including e-learning technologies, over traditional ones. In contrast to the presentation of knowledge in a ready-made form in traditional training, e-learning technologies provide for increasing the level of independent work of students at an individual pace on the one hand, providing opportunities for broad communication with other students and joint planning of their activities on the other. The author considers the possibilities of using elements of the Moodle system in the development of a mathematical discipline and shows that Moodle logically complements the traditional form of education. LMS Moodle is one of the most well-known and widespread e-learning management systems. The system is characterized by simplicity and ease of use, wide opportunities for organizing the educational process and monitoring students' knowledge. The article describes in detail the stages of designing an electronic training course for the discipline. The possibilities of the Moodle system for creating an electronic course of the discipline are considered. The article describes the methodological features of developing the information content of the e-learning course. It is reasonable that in the course of training organized in this way, students are involved in active cognitive activity, while students learn a new type of activity in an open access to information, get acquainted with new technologies.
Collaborative learning methodologies and peer assessment in virtual educational environments

In the current situation in times of the pandemic, it is necessary to use new methodologies accompanied by technological resources that help the teaching-learning process in the university environment. This work focuses on the use of collaborative learning methodologies in virtual environments, with the support of technological resources in the second-year subject of Mathematics of the Faculty of Economics of the Universidad Católica del Norte in a course with 61 students. Collaborative work of exercises in groups and between groups is highlighted, as well as coevaluation through rubrics. Teaching is emphasized with Geogebra, OneNote, and digital whiteboards. Online classes are held and recorded using Google-Meet. Recorded classes are uploaded to the LMS platform to be shared with students. The results show a positive experience and the innovation was well evaluated by the students through the online surveys.
Modules over monads and operational semantics

This paper is a contribution to the search for efficient and high-level mathematical tools to specify and reason about (abstract) programming languages or calculi. Generalising the reduction monads of Ahrens et al., we introduce transition monads, thus covering new applications such as lambda-bar-mu-calculus, pi-calculus, Positive GSOS specifications, differential lambda-calculus, and the big-step, simply-typed, call-by-value lambda-calculus. Moreover, we design a suitable notion of signature for transition monads.
Informal Education in Process of Studying Foreign Languages and Types of Tasks that Aim Students at Working Independently in Terms of Informal Education

The article reflects the specificity of organizing informal education in training students in a language university and master degree students in an economic university, enrolled in international programs, as well as the significance of conscious independent work and self-education as an integral component of informal education functioning. An important component is students motivation and their methodological readiness for independent learning a foreign language. The authors offer for consideration three types of students guiding to self-learning in terms of informal context in the process of formal educational process and provide a typology of tasks illustrating the direct, indirect and hidden guiding of students to their independent work.
Research on Construction of Campus Smart Card System and Digital Campus

With the development of modern information, the construction of a digital campus is inseparable from the support of campus smart card system which provides a good information sharing environment and provides more comprehensive data collection for the construction of a digital campus. Therefore, the complete integrated digital campus perfects the campus application platform center with richer and unified content, including identity authentication platforms, public data centers, and security information systems. These application platforms will be implemented throughout the entire application system on campus. In addition, the use of the campus card perfects the information management of various departments on campus, and promotes the construction of digital campus.
Implementation of the remote activities of the Programa Academia da Cidade in times of COVID-19

Due to the COVID-19 pandemic, the face-to-face interventions of the Academia da Cidade of Recife (PAC-REC) were suspended and a remote activity plan was elaborated. The aim of this study was to describe the implementation and results of remote PAC-REC activities during the COVID-19 pandemic. A quantitative and qualitative analysis was performed based on the PAC-REC online reports and the virtual platforms referring to the remote activities carried out, from April to July 2020. For the implementation of the remote activities, integrated and systematic planning and monitoring meetings among the professionals and the program management were made. The following material was produced: 14 livestreams of bodily practices and physical activities, 10 interviews, 70 videos with different themes, 85 infographics, among others specified by pole. It is concluded that the performance of remote activities of PAC-REC reached its objectives and some should be maintained after the return of face-to-face activities.
Tools of distance learning educational process at an Engineering University

The article discusses ways to organize the work of students and teachers in remote work mode. The high efficiency of the point-rating system (PRS) for evaluating independent work in the conditions of distance learning is shown. A study was conducted on the preparation of training and monitoring activities for online classes. The issues of organizing lectures and laboratory classes, as well as conducting training practice during the period of remote work are considered. Internet opens up wide opportunities in the process of electronic textbooks on humanitarian disciplines creating. The technologies’ specifics allow making direct links to resources located in the worldwide network. Many experts believe that Internet technology is a revolutionary breakthrough, surpassing the importance of a personal computer appearance. Currently, there is a significant increase in the share of test passing in remote mode. For the development of electronic tests, there are many software tools that allow you to develop them according to a teacher preference. The important selection criteria are accessibility, the ease of use, the absence of any additional knowledge and skills, as well as the utmost clarity and comprehensibility of the proposed actions
Research Progress of News Recommendation Methods

Due to researchers'aim to study personalized recommendations for different business fields, the summary of recommendation methods in specific fields is of practical significance. News recommendation systems were the earliest research field regarding recommendation systems, and were also the earliest recommendation field to apply the collaborative filtering method. In addition, news is real-time and rich in content, which makes news recommendation methods more challenging than in other fields. Thus, this paper summarizes the research progress regarding news recommendation methods. From 2018 to 2020, developed news recommendation methods were mainly deep learning-based, attention-based, and knowledge graphs-based. As of 2020, there are many news recommendation methods that combine attention mechanisms and knowledge graphs. However, these methods were all developed based on basic methods (the collaborative filtering method, the content-based recommendation method, and a mixed recommendation method combining the two). In order to allow researchers to have a detailed understanding of the development process of news recommendation methods, the news recommendation methods surveyed in this paper, which cover nearly 10 years, are divided into three categories according to the abovementioned basic methods. Firstly, the paper introduces the basic ideas of each category of methods and then summarizes the recommendation methods that are combined with other methods based on each category of methods and according to the time sequence of research results. Finally, this paper also summarizes the challenges confronting news recommendation systems.