Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF STUDENTS READING COMPREHENSION ON RECOUNT TEXT AT SMK DHARMA BAKTI 1 MEDAN

ABSTRACTThis research was conducted to describe the students' ability to read and understand the Recount Text. The purpose of this study was to analyze the students' ability in understanding the Recount Text. This research used descriptive qualitative method. This research was conducted at SMK Dharma Bakti 1 Medan. The sample of this research was 17 students of class 10 TKJ. This study used a reading test and interview instruments. Based on the research results, it was found that the highest score of students was 73.00 and the lowest score of students was 6.00. The low score of students caused by the lack of understanding of students in reading recount text and limited vocabulary of students.Keywords: Students’ analysis, reading comprehension, recount textABSTRAK Penelitian ini dilakukan untuk mendeskripsikan kemampuan siswa dalam membaca dan memahami Teks Recount. Tujuan penelitian ini adalah untuk menganalisis kemampuan siswa dalam memahami Teks Recount. Penelitian ini menggunakan metode kualitatif deskriptif. Penelitian ini dilakukan di SMK Dharma Bakti 1 Medan. Sampel penelitian ini sebanyak 17 siswa kelas X-TKJ. Penelitian ini menggunakan instrumen tes membaca dan wawancara. Berdasarkan hasil penelitian, ditemukan skor tertinggi siswa adalah 73,00 dan skor terendah siswa adalah 6,00. Rendahnya nilai siswa disebabkan oleh kurangnya pemahaman siswa dalam membaca teks recount serta kosakata yang dimiliki siswa terbatas.kata kunci : Analisis siswa , pemahaman membaca, teks recount
AGIREINFORMATI. Learning Information Literacy by social network

The paper describes the experience of the library project #AGIREINFORMATI,   (https://twitter.com/i/events/917401122171772928) created in favor of the diffusion of Information Literacy, both in the specialist field of bio-medical sciences, but also suitable for general users. It is a multimedia training product, structured according to the informal logic of micro-learning and therefore suitable for distribution on all social networks. It responds to the requests of the European institutions in favor of lifelong learning and the dissemination of training tools apt for individual and collective cultural growth, especially in the digital field. The project is based on the idea that no one can live in the Third Millennium without mastering digital and telematic tools, without knowing how to expertly retrieve, evaluate and adequately use information and network resources. These objectives can also be achieved thanks to the information services of libraries, especially academic libraries, which are now able to reach the desired information in real time, wherever it is located and on whatever medium it is produced, while at the same time educating users to exercise critical thinking, to efficiently satisfy their own information needs and to effectively meet those of the user community.
Rhetorical Argumentation in Formulation of News

Rhetoric has turned to become a broad knowledge of society, as it is no longer a science for the specific discourse, but rather has become a science for all discourses. Rhetorical argumentations have left a great influence in contemporary studies; this influence has broadened the field of literature under any concept New Rhetoric by which both sides are focused on as a primary means of persuasion. Rhetoric has been associated with argumentation since its inception and the ancients have presented it as revealing possible ways to persuade and in whatever subject. This perception has been linked with the theory that has grown the persuasive side of rhetoric, and developed to integrate rhetoric into the concerns of contemporary deliberative research. This current theory decided the existence of argumentation in all discourses such as; society, politics, media, publicity ... etc., meaning that it covers all the fields of discourse that aims at understanding and persuasion, regardless of the statues of sender and recipient or whatever the method used and the nature of the subject. In formulation of news, the sender searches for the ways that lead to the public’s conviction of the contents in the news. It is important for him to read or view as many audiences as possible. Today everyone can formulate news, but the news that is literally crafted and contains the aesthetics of rhetoric affects. It is convinced by the audience, and remains in the memory
From Dusk till Dawn: Reflections on the Impact of COVID-19 on the Development Practices of a R&D Project

Responding to change over following a plan is one of the Agile Manifesto's values According to its original perspective, development teams should embrace changes due to a better understanding of the business domain or about the users' needs This kind of change is well understood and explored by practitioners and researchers However, the issue of how development teams embrace changes due to unexpected, severe, and atypical external events (like the ones we are facing during COVID-19) have not been fully discussed In this paper, we present our experience in managing the expectations and changing the development methods to mitigate the risks of carrying out a research and development project (named Virtual Social Office-VSO) during a pandemic time To this end, we report on an observational study that explains the main differences between the procedures we expected to follow before the pandemic and the procedures we are following We also present the perceptions of both stakeholder and development teams about the impact of COVID-19 on VSO development Although the development team quickly adapted itself to work from home, we observed some impact on the development plans In particular, trying to reconcile the trade-offs between completeness and the tight schedule for the first release was a challenge, since we depended on different partners to collect the information that we need to make available in a mobile application (app) that corresponds to one of the VSO project outcomes According to one stakeholder, the initial effort to design and prototype the VSO app (using the Design Thinking approach) before the start of the pandemic, has been considered essential to mitigate part of the threats that arose due to the COVID-19 We discuss part of these threats in this paper and the actions we have been taking to mitigate them In addition, according to members of the development team, working remotely presents both challenges (e g , adapt to a new routine, prepare a comfortable place, isolation feelings), and benefits (e g , working hours flexibility, less distraction from co-workers) © 2020 ACM
Three-Dimensional Investigation of the Metric Properties of Parabolic Double Projection Involving Catadioptric Camera.

This paper presents an analytical study for the metric properties of the paraboloidal double projection, i.e. central and orthogonal projections used in the catadioptric camera system. Metric properties have not sufficiently studied in previous treatments of such system. These properties incorporate the determination of the true lengths of projected lines and areas bounded by projected lines. The advantageous main gain of determining metric elements of the paraboloidal double projection is studying distortion analysis and camera calibration, which is considered an essential tool in testing camera accuracy. Also, this may be considered as a significant utility in studying comparison analysis between different cameras projection systems.
Challenges and Applications of Data Analytics in Social Perspectives

This chapter introduces data science with its history and importance in this modern era briefly. This chapter also elaborates the discussion by relating data science to various modern fields like big data analytics, artificial intelligence, deep learning, and machine learning. This chapter also discuss the necessary of data analytics in this big data era. This chapter also briefly introduces another emerging field, Internet of Things (IoT) and explores the contribution IoT towards big data analytics and data science in research perspective. It also briefly introduces the programming and non-programming tools used in the data science field.
A Novel Parameter Reduction Method for Simplifying Improved RC-IDeepRT

Objectives: To decrease the model parameters in Reinforcement learning with Compressed Improved DeepRT (RC-IDeepRT) for Cyber-Physical System (CPS) data analysis, a method is proposed in this study.Methods: A parameter reduction method is proposed to decrease the model parameter by combining pruning and factorization.The pruning may not save the memory usage in traditional computers unless sparse matrices are supported and explicitly used.However, it directly reduces the usage of synapses in neuromorphic architecture.This method minimizes the total number of required neurons and synapses given a trained model.Findings: The integration of factorization and pruning allows creating sparsely connected reinforcement learning with deep learning network from a given trained network.The dangling connections in the network are determined and the remaining connections of the dangling neurons are further pruned.The pruned network is cost-effective and it classifies the CPS data effectively.Novelty: This proposed method tries to minimize the number of parameters in RC-IDeepRT.The number of parameters becomes a good surrogate metric assuming the deep learning architecture accommodates sparse networks effectively.The reduced model parameters are used for CPS data classification.
A Linear Reduction Method for Local Differential Privacy and Log-lift

This paper considers the problem of publishing data $X$ while protecting correlated sensitive information $S$. We propose a linear method to generate the sanitized data $Y$ with the same alphabet $\mathcal{Y} = \mathcal{X}$ that attains local differential privacy (LDP) and log-lift at the same time. It is revealed that both LDP and log-lift are inversely proportional to the statistical distance between conditional probability $P_{Y|S}(x|s)$ and marginal probability $P_{Y}(x)$: the closer the two probabilities are, the more private $Y$ is. Specifying $P_{Y|S}(x|s)$ that linearly reduces this distance $|P_{Y|S}(x|s) - P_Y(x)| = (1-\alpha)|P_{X|S}(x|s) - P_X(x)|,\forall s,x$ for some $\alpha \in (0,1]$, we study the problem of how to generate $Y$ from the original data $S$ and $X$. The Markov randomization/sanitization scheme $P_{Y|X}(x|x') = P_{Y|S,X}(x|s,x')$ is obtained by solving linear equations. The optimal non-Markov sanitization, the transition probability $P_{Y|S,X}(x|s,x')$ that depends on $S$, can be determined by maximizing the data utility subject to linear equality constraints. We compute the solution for two linear utility function: the expected distance and total variance distance. It is shown that the non-Markov randomization significantly improves data utility and the marginal probability $P_X(x)$ remains the same after the linear sanitization method: $P_Y(x) = P_X(x), \forall x \in \mathcal{X}$.
Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition

In this work, we propose a new solution to 3D human pose estimation in videos. Instead of directly regressing the 3D joint locations, we draw inspiration from the human skeleton anatomy and decompose the task into bone direction prediction and bone length prediction, from which the 3D joint locations can be completely derived. Our motivation is the fact that the bone lengths of a human skeleton remain consistent across time. This promotes us to develop effective techniques to utilize global information across all the frames in a video for high-accuracy bone length prediction. Moreover, for the bone direction prediction network, we propose a fully-convolutional propagating architecture with long skip connections. Essentially, it predicts the directions of different bones hierarchically without using any time-consuming memory units e.g. LSTM). A novel joint shift loss is further introduced to bridge the training of the bone length and bone direction prediction networks. Finally, we employ an implicit attention mechanism to feed the 2D keypoint visibility scores into the model as extra guidance, which significantly mitigates the depth ambiguity in many challenging poses. Our full model outperforms the previous best results on Human3.6M and MPI-INF-3DHP datasets, where comprehensive evaluation validates the effectiveness of our model.
MEASURING AND ANALYZING THE IMPACT OF GDP ON CONSUMER SPENDING IN IRAQ FOR THE PERIOD 1990-2018

Consumption is one of the topics that occupies a wide field in economic research, due to the importance it represents in economic activity as it is one of the most important components of aggregate demand, because the largest percentage of individuals 'incomes is directed to consumption, and therefore it would drive growth and move economic activity towards prosperity, therefore This research attempts to measure the function of household consumption spending in the Iraqi economy during the period from 1990-2018 using the ARDL model.The results of this study have shown that there is a long-term balance relationship between income and family consumption spending and that consumer spending depends heavily on income and there is a direct relationship between Consumer spending and income has a marginal propensity to consume 0.519%
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature

Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To tackle these three issues, we propose a novel discrete computation scheme for the weighted Gaussian curvature. Our scheme does not require the second order differentiability. Moreover, our scheme is more accurate, has smaller support region and computationally more efficient than the conventional schemes. Therefore, our scheme holds promise for a large range of applications where the weighted Gaussian curvature is needed, for example, image smoothing, cartoon texture decomposition, optical flow estimation, etc.
A Case Study on Consecutive Interpretation Classes Using Tandem Education

This paper proposes consecutive interpretation classes using Tandem education. Tandem education is about two people teaching each other their native language. The number of Chinese students studying abroad has increased sharply in recent years. In this situation, no longer classes in traditional methods can
The Competence Approach and Its Literary Educational Projections in the First High School Stage

In line with the current educational theses, this publication recognizes the role of competency approach in the contemporary literary education, focusing on the literary educational discourse in the first high school stage (grades 8-10). The development illustrates the functionalization of the competence approach in the teaching of literature in Bulgarian school, as well as its relation to the specific literary-educational approaches - thematic and intertextual. The research represents ideas for studying works included in the literature curricula (for the respective classes), combining scientific theses and literary-educational pragmatics, focusing on the development of the thematic chain "native and foreign" and the generated intertextual allusions.
Pricing Bitcoin Derivatives under Jump-Diffusion Models

In recent years cryptocurrency trading has captured the attention of practitioners and academics. The volume of the exchange with standard currencies has known a dramatic increasing of late. This paper addresses to the need of models describing a bitcoin-US dollar exchange dynamic and their use to evaluate European option having bitcoin as underlying asset.
Clarification of the Contours of a Potentially Ore-Bearing Intrusive Based on the Results of Ground-Based Geophysical Work in the Norilsk Region

Summary In the field seasons of 2015-2016, a complex of ground-based geophysical works was performed on one of the squares near Norilsk, including 1:25,000 scale gravity exploration over a network of 250x100 meters, magnetic exploration with continuous field registration with a measurement cycle of 2 seconds (an inter-route distance of 250 meters), and electric exploration using the VP method in the modification of the median gradient. The main goal of the research was to clarify the contour of the potentially ore-bearing Intrusive gabbro-dolerite composition and to identify local areas with the maximum development of sulfide mineralization.
Creative Use of Second Language Theories and Creative Language Learning: Some Considerations

Despite potential barriers to developing creativity in English language teaching, developing the creativity of learners has many benefits for learning the language and for developing broader learning objectives, values and attitudes (Read, 2015).Second language theories are directly or indirectly embedded in the activities of the textbooks.However, textbooks do not encourage deep creative thinking skills (Alkhaldi & Oshchepkova, 2018).Therefore, this paper critically analyses the creative use of second language theories in an interactive learning environment based on the related literature in an attempt to foster creativity and achieve durable language learning.It enumerates the major components of successful language learning as well-designed textbooks, effective teachers, and active learners.Language theories and activities are useless if the aforementioned major components are not used together in a creative way.Furthermore, the researchers have critically analyzed other variables in this study such as learning styles, motivation, teaching and learning approach, creativity, and creative classroom interaction.This study recommends that textbook writers should include interesting activities that represent effective language theories, Foreign Language (FL) teachers should have professional development training on how to adapt and teach the language activities professionally, and the learners should be initiative and creative to master the language autonomously.
Development of Web-based Spatial Information System Tourism Industry Event Distribution (Case Study: DKI Jakarta)

In recent years, the number and scope of events in the Asia and Middle East / North Africa region has increased significantly. Events are one of the things that attracts the attention of foreign tourists to come to visit a country as a tourist destination. Refers toMinister of Tourism Regulation Number 2 Year 2017on Guidelines for Venues for Meetings, Incentive Trips, Conventions and Exhibitions, explains that criteria and indicators are needed to increase the competitiveness of venues for meetings, incentive trips, conventions and exhibitions at the regional and global levels. This is done to increase the number of visits, length of stay, and expenditures for domestic and foreign tourists. Therefore, visual indicators or data are needed that can present the location of the event and a list of events in DKI Jakarta. From these problems, this study aims to produce a web-based spatial information system for the distribution of tourism industry events to map event locations in DKI Jakarta. The methodology used in collecting this data is the method of observation, interviews, and literature studies. While the system development methodology uses PHP and MySQL with the Rapid Application Development (RAD) approach and uses the Unified Modeling Language (UML) which is a tool for system description and design, as well as the Google Maps API for digital maps. The results of this study are in the form of a spatial information system that can display a map of the distribution of event locations in DKI Jakarta based on event data and event categories at the DKI Jakarta Tourism and Creative Economy Department. While the system development methodology uses PHP and MySQL with the Rapid Application Development (RAD) approach and uses the Unified Modeling Language (UML) which is a tool for describing and designing systems, as well as the Google Maps API for digital maps. The results of this study are in the form of a spatial information system that can display a map of the distribution of event locations in DKI Jakarta based on event data and event categories at the DKI Jakarta Tourism and Creative Economy Department. While the system development methodology uses PHP and MySQL with the Rapid Application Development (RAD) approach and uses the Unified Modeling Language (UML) which is a tool for describing and designing systems, as well as the Google Maps API for digital maps. The results of this study are in the form of a spatial information system that can display a map of the distribution of event locations in DKI Jakarta based on event data and event categories in the DKI Jakarta Tourism and Creative Economy Department.
Research on inversion algorithm of arbitrary phase-shifting wind imaging interferometer

The use of wind imaging interferometer to retrieve wind field information requires high accuracy of the instrument in phase shift. Traditional wind field inversion algorithms invert wind field information such as wind speed and temperature based on equal phase-shift interferometers. In actual situations, the phase shift of the wind imaging interferometer does not perfectly meet the design requirements, producing inversion result errors. In this paper, the inversion algorithm of an arbitrary phase shift wind imaging interferometer is studied, and the feasibility of the AIA (advanced iterative algorithm) inversion algorithm is verified under the condition of low accuracy of the instrument phase shift. The comparison of the inversion results of the AIA algorithm in wide-field interference and non-widefield interference are respectively discussed. The influence of the unevenness of the strip system caused by the temperature distribution on the inversion accuracy of the AIA algorithm is analyzed. The conclusions of this paper can provide theoretical support for phase-shifting calibration of wind imaging interferometers and wind field information inversion in low-precision instrument.