Reviewerly/exHarmony huggingface dataset:
The Usability Evaluation of Adik Jom Baca: A Mobile Educational Application for Kindergarten Malay Language Early Reading

Many recent research emphasized the potential of mobile educational application for enhancing early reading among kindergarteners. From the Framework of Mobile Application for Kindergarten Early Reading, the researchers was developed a novel and fascinating mobile educational application for kindergarten early reading, Adik Jom Baca. This study explored the usability the mobile application by using Usability Metrics for Mobile Learning User Interface for Children. This metric evaluated the usability of application from three dimensions; effectiveness, efficiency and satisfaction. The evaluation of usability involved 30 kindergarten teachers using Nominal Group Technique (NGT). Results indicated the high level of usability for Adik Jom Baca application.
THE ADVANTAGE OF ELECTRONIC PORTFOLIO IN ASSESSING STUDENT LEARNING

This article states that the possession of a digital infrastructure and information competence in the field of education is an urgent issue of our time. The introduction of digital technology as a tool at all stages of the educational process, starting from kindergarten and school, allows you to create an information technology environment. It also notes the advantages, functions and features of the use of electronic portfolio as one of the new forms and modern means of assessing student learning achievements. The portfolio gives students the opportunity to monitor their personal achievements and allows them to compare their achievements not with the achievements of other students, but with their original results. An electronic portfolio can also perform a qualitative and quantitative assessment of student performance. According to researchers, the electronic portfolio creates the conditions for solving the most important issues related to education.
Explainable Detection of Sarcasm in Social Media

Sarcasm is a linguistic expression often used to communicate the opposite of what is said, usually something that is very unpleasant with an intention to insult or ridicule. Inherent ambiguity in sarcastic expressions makes sarcasm detection very difficult. In this work, we focus on detecting sarcasm in textual conversations, written in English, from various social networking platforms and online media. To this end, we develop an interpretable deep learning model using multi-head self-attention and gated recurrent units. We show the effectiveness and interpretability of our approach by achieving state-of-the-art results on datasets from social networking platforms, online discussion forums, and political dialogues.
Equilibrium in Asset Prices: Evidence from Cryptocurrencies

Employing daily data on ten cryptocurrencies that exhibit the highest market capitalization, we find one instance of cointegration equilibrium in the 2016 2018 period. Contrary to earlier studies that report cryptocurrency markets are developing toward market efficiency, our findings suggest that even the most liquid cryptocurrency markets are inefficient.
Bio-inspired Computing Paradigm for Periodic Noise Reduction in Digital Images

Periodic noise reduction is a fundamental problem in image processing, which severely affects the visual quality and subsequent application of the data. Most of the conventional approaches are only dedicated to either the frequency or spatial domain. In this research, we propose a dual-domain approach by converting the periodic noise reduction task into an image decomposition problem. We introduced a bio-inspired computational model to separate the original image from the noise pattern without having any a priori knowledge about its structure or statistics. Experiments on both synthetic and non-synthetic noisy images have been carried out to validate the effectiveness and efficiency of the proposed algorithm. The simulation results demonstrate the effectiveness of the proposed method both qualitatively and quantitatively.
An Innovative Healthcare Service Providing System

In this fast growing world, one needs to take care of themselves properly. Thus by having technological support, self-care can be implemented with less complications. In this paper we propose a smart health care device that helps to track common symptoms of an individual and also track his mood and thus suggest diagnosis for the symptoms. The objective reason is to create a ubiquitous environment with user friendly interactions for the Health Assistant to work as a software platform. Thereby helping people be fit in this busy life. This paper spotlights on the study of various proposed system for personal healthcare assistance for people of various ages using different parts of recent technologies. The purpose of this report is to discover the difficulties in building a health service using virtual assistant. It also consists of latest expedition on devicing. Virtual Assistant for various services like healthcare, email, etc.
Siamese Region Proposal Networks and Attention Module for Real-time Visual Tracking

Recently, the region proposal networks have been combined with the Siamese networks for visual tracking and have achieved great attention due to their balanced accuracy and speed. However, it is still challenging to track object with simultaneous requirements on robustness and discrimination power. A key to balance the online visual tracking accuracy and speed is to learn abundant features. In this paper, we propose an attention module based Siamese region proposal networks, named AM-Siam, for real-time visual tracking task. The basic idea is to refine neural features extracted from convolutional neural networks with channel attention module and spatial attention module, and provide reliable visual attentional features for tracking. In addition, we design a multi- task loss function with balanced L1 loss to accelerate convergence speed of the proposed tracking network. The proposed AM-Siam is trained off-line in an end-to-end pattern and does not update the network parameters during tracking. Experiments on the Visual Object Tracking (VOT) show that AM-Siam achieves state-of-the-art results with tracking accuracy of 61% and tracking speed of 189 fps on the VOT. Moreover, experimental results demonstrate the effectiveness of our proposed AM-Siam tracker compared with state-of-the-art trackers.
Institutional Erosion of Science and Education: Postmodern Grimaces

The article is a reaction to the article written by P.A. Orekhovsky and V.I. Razumov ‘Carnival Time: Russian Higher School and Science in the Postmodern Era’. The author agrees with the analytical diagnosis of the state and situation in the Russian science and higher education, shares the concern expressed by colleagues about the fate of the most important social institutions for our civilization. The author proposes a number of considerations that develop the topics raised in the reference article. The author draws attention to the historical inversion of the positivist social project, which appears to be at the forefront of the emerging social architecture of a new scientific-technocratic elite; another thing is that its social configuration does not coincide with institutional boundaries of academic and University science. The author speculates upon the analogy of science with prostitution, which is currently undergoing a noticeable institutionalization. The author considers its phasing to be universal. It is suggested that prostitution can be extrapolated to other social institutions, including science and education. The potential of their resistance and survival is determined by how effectively passionarity accumulates in the structure of these social institutions. This indicator is directly proportional to the efficiency of the formation of human capital in the system. According to the author, problems, voiced by P.A. Orekhovsky and V.I. Razumov, are explained by the passion drift, the overcoming of which is not an automatic macro-social act, but the craft of each scientific and pedagogical worker.
The Effect Of Gallery Walk Strategy On The Student’s Ability In Writing Descriptive Paragraph At SMA Negeri 2 Birem Bayeun Aceh Timur

This study was aimed to obtain empirical evidence about the effect of the gallerywalk strategy on students’ ability in writing descriptive paragraphs in the tenth grade ofSMA Birem Bayeun Aceh in 2020/2021 academic year. This research used quantitativemethod and the research design used is a quasi-experimental design. The population ofthis study were all tenth grade students of SMA Negeri 2 Birem Bayeun Aceh Timur. Thesample technique used total sampling that consist of 47 students. The sample are dividedinto two groups: class X MIA1 as an experimental class consist of 24 students and XMIA2 as a control class consist of 23 students. The instrument of this research waswritten test. The results and the effect size of this study were obtained from datacalculations using t-test with a significance level of (α) =0,05. The results showed thatthe post-tests’ mean score in the experimental class was 78,45 while in the control class itwas 60,26. thus means the post-tests’ mean score in the experimental class is higher thanthe control class (78,45 > 60,26). Therefore, the statistical hypothesis test showed that theρ-value of the post-test and the gained score is 0.000 < sig α 0,05. The effect size of thisresult is 1,53. It can be conclude that the alternatives hypothesis (Ha) is accepted and thenull hypothesis (H0) is rejected. It means that the gallery walk strategy was significanteffect on the students’ ability in writing descriptive paragraph at SMA Negeri 2 BiremBayeun Aceh Timur in academic year.
실시간 원격 수업에 대한 한국어 교사의 인식 연구

This study investigated the teachers'' perception of real-time remote Korean language classes. The Korean teachers’ perception in the study included how they evaluated the effectiveness of real-time remote Korean language classes and how they perceive the changing educational environment. 60 Korean teachers participated in the online survey and they were divided into 3 groups according to their teaching experiences (1-5 years, 6-9 years, and 10 years above). The results showed that Korean language teachers had generally negative perception of the real-time remote korean language classes and the change to the online classroom environment regardless of their teaching experience. For the evaluation of real-time classes, they showed a negative perception of interaction, assessment implementation and excellence, learning performance and satisfaction, and the time and effort in preparing or teaching classes except teaching grammar and comprehension skills. For changing educational environment, they responded that they were adjusting to the online class environment, but they still felt uncomfortable about the change, lacking the sense of reality in class, and anxious about their job security as a teacher. In result, they recognized that they needed to focus their efforts on developing their capabilities to adopt to the changing educational environment. (Ewha Womans University)
Freedom of Expression and Humor in Canada: The Case of <i>Jérémy Gabriel</i> v <i>Mike Ward</i>

Purpose: This chapter examines how two basic rights, freedom of expression, and the right to equality based on one’s dignity, reputation, and honor, were balanced in a case involving a stand-up comedian and an adolescent suffering from Treacher Collins syndrome. Methodology/Approach: The case is contrasted with Jürgen Habermas’ concept of the public sphere and with the intrinsic and utilitarian values that Canadian courts have attributed to free speech. Findings: Because the case was dealt with first in a human rights tribunal and then by a court of appeal, a number of considerations were overlooked in court proceedings: how laughter occurs; the broadening of Ward’s audience and its consequences; and Ward’s publicity strategy. These aspects are explored here to give a more complete picture of the case beyond the court decisions. Originality/Value: In Canada, freedom of expression is usually dealt with ordinary courts. A whole new avenue for dealing with this right is human rights bodies and tribunals. Contesting free speech in the name of defamation is being replaced by rights entrenched in human rights charters, such as the right to equality based on the preservation of one’s dignity, reputation, and honor.
The development of a pre-school educational institution in the organization of the city’s innovation platform by means of informatization

The article proposes to solve the problem of organizing the activities of the city’s innovation platform by means of informatization. The relevance of the topic is not in doubt, as the study of the phenomenon of innovative development of educational institutions by means of information culture and related phenomena and related processes is now in demand. Information education, on the one hand, is a pressing problem for resolution, and on the other hand – providing opportunities, that is, acting as a stimulating factor for the development of preschool education in an innovative mode. This paper highlights some aspects of the problem of education information, which are particularly relevant and possible for resolution at this stage in the conditions of preschool education. Creating and expanding a single informational educational space solves the challenges of developing the potential (cultural and technical) of such with as a pre-school educational institution, as well as improving the quality of preschool education, its accessibility, continuity, etc., with the active interaction of all participants in educational relations.
Holt Library: 2021-2022 New Books and Ebooks at Holt Library: Home

Holt Library, in response to the COVID-19 pandemic, has moved funds to e-books and online sources. 400-499: Languages, Sign Language; Management
MANUSCRIPT PRESERVATION IN SOUTH KALIMANTAN(Case Study on Library and Archives Service and Lambung Mangkurat Museum)

The Cultural Heritage Act No. 5/1992, Chapter I Article 2, the manuscript ofa library and museum collection as the most authentic source of knowledge about humanidentity and cultural history. Manuscripts will not last long without proper care;preservation of manuscripts is beneficial for future generations. Based on observation,476 manuscripts were stored in the Library and Archives Service (DISPERSIP) of SouthKalimantan and Lambung Mangkurat Museum in South Kalimantan, which mostly didnot receive good attention. Preservation effort is not easy and it is needed properhandling by the experts in their fields.The purpose of this research is to find out, describe the preservation process, theconstraints and solutions carried out in preservation of manuscripts at DISPERSIP andLambung Mangkurat Museum in South Kalimantan.This research was conducted using a qualitative approach and qualitativedescriptive type in the form of describing data based on the recording. The researchsubjects in DISPERSIP and Lambung Mangkurat Museum with their objects aremanuscripts in two places. Research data were in the form of respondents' identities,manuscripts, and the description of preservation efforts, obstacles, and preservationsolutions. Sources of data were from informants, documents and supporting books. Datacollection techniques were by using observation, in-depth interviews, anddocumentation. Data analysis techniques consisted of data reduction, data display,conclusion drawing/verification. Qualitative data analysis is carried out interactively andtook place continuously until it is complete so that the data is already saturated.The results of research in conserving these two institutions have differed on thephysical preservation and contents preservation of manuscripts. The physicalpreservation script was taken by giving chemical substance and sticking it to wider andstronger paper. The contents of the manuscript by scanning for digitization, givingnames based on the main ideas, classification and brief outlines based on philology.Obstacles in conservation activities were due to the lack of budget for the purchase ofconservation infrastructure and limited human resources in handling preservation.The solution that can be proposed is by having cooperation with another party inpreservation process. DISPERSIP is working together with Indonesian NationalArchives (ANRI) in saving original manuscript. Lambung Mangkurat Museumcooperate with Universitas Indonesia and Indonesian National Library in the manuscriptdigitalization process
Application of Data Bus-Based Software Architecture in Wind Turbine Control Software

In this paper, a data bus-based software architecture is designed to provide standardized, transparent software interfaces, to reduce coupling between software modules, and shield the complexity of operating system for synchronous reactive system software design. First of all, based on synchronous theory, a data bus-based software architecture is designed. And then, common data space is designated, it is open to all application layer software module, each application layer software module can directly access the common data space. At the same time, a data protection mechanism has been established to ensure that every data has single source and all data are updated uniformly. Finally, the software architecture is applied in wind turbine control software, and the wind turbine control software architecture is reconstructed.
Entanglement detection of two-qubit Werner states

In this article, we introduce a framework for entanglement detection of photon pairs represented by two-qubit Werner states. The measurement scheme is based on the symmetric informationally complete POVM. To make the framework realistic, we impose the Poisson noise on the measured two-photon coincidences. For various settings, numerical simulations were performed to evaluate the efficiency of the framework.
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images

Most existing research on visual question answering (VQA) is limited to information explicitly present in an image or a video. In this paper, we take visual understanding to a higher level where systems are challenged to answer questions that involve mentally simulating the hypothetical consequences of performing specific actions in a given scenario. Towards that end, we formulate a vision-language question answering task based on the CLEVR (Johnson et. al., 2017) dataset. We then modify the best existing VQA methods and propose baseline solvers for this task. Finally, we motivate the development of better vision-language models by providing insights about the capability of diverse architectures to perform joint reasoning over image-text modality. Our dataset setup scripts and codes will be made publicly available at this https URL.
A Hybrid Graphical User Authentication Scheme in Mobile Cloud Computing Environments

User authentication is a critical security requirement for accessing resources in cloud computing systems. A text-based password is a standard user authentication way and it is still extensively used so far. However, textual passwords are difficult to remember, which forces users to write it down and compromise security. In recent years, graphical user authentication methods have been proposed as an alternative way used to verify the identity of users. The most critical challenges cloud-computing users face is to post their sensitive data on external servers that are not directly under their control and that can be used or managed by other people. This paper proposes a question-based hybrid graphical user authentication scheme for portable cloud-computing environments. The proposed scheme comprises advantages over both recognition- and recall-based techniques without storing any sensitive information on cloud servers. The experimental study and survey have been conducted to investigate the user satisfaction about the performance and usability aspects of the proposed scheme. The study results show that the proposed scheme is secure, easy to use, and immune to potential password attacks such as brute force password guessing attacks and shoulder surfing attacks
The Biker-hiker problem.

There are n travellers who have k bicycles and they wish to complete a journey in the least time possible. We investigate optimal solutions to this problem where each traveller cycles for k/n of the journey. Each solution is represented by an n x n binary matrix M with k non-zero entries in each row and column. We characterise when such a matrix gives an optimal solution, introduce three symmetries of such matrices that preserve optimality, and thereby identify minimal non-optimal members of this class. We identity two mutually transpose solutions types, the first of which uniquely minimises the number of handovers of the cycles, while the transpose solution keeps the number of separate cohorts of travellers to three, and minimizes their overall separation, at least in the case where 2k is less than or equal to n. Finally we calculate various aspects of these schemes using number theoretic considerations.
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification.

As unmanned aerial vehicles (UAVs) become more accessible with a growing range of applications, the potential risk of UAV disruption increases. Recent development in deep learning allows vision-based counter-UAV systems to detect and track UAVs with a single camera. However, the coverage of a single camera is limited, necessitating the need for multicamera configurations to match UAVs across cameras - a problem known as re-identification (reID). While there has been extensive research on person and vehicle reID to match objects across time and viewpoints, to the best of our knowledge, there has been no research in UAV reID. UAVs are challenging to re-identify: they are much smaller than pedestrians and vehicles and they are often detected in the air so appear at a greater range of angles. Because no UAV data sets currently use multiple cameras, we propose the first new UAV re-identification data set, UAV-reID, that facilitates the development of machine learning solutions in this emerging area. UAV-reID has two settings: Temporally-Near to evaluate performance across views to assist tracking frameworks, and Big-to-Small to evaluate reID performance across scale and to allow early reID when UAVs are detected from a long distance. We conduct a benchmark study by extensively evaluating different reID backbones and loss functions. We demonstrate that with the right setup, deep networks are powerful enough to learn good representations for UAVs, achieving 81.9% mAP on the Temporally-Near setting and 46.5% on the challenging Big-to-Small setting. Furthermore, we find that vision transformers are the most robust to extreme variance of scale.