Reviewerly/exHarmony huggingface dataset:
Recovery and Revival: A Letter to VLA’s Membership

In this President’s letter to the Virginia Library Association membership, the author reflects on a year of recovery and revival. Four strategic areas of membership, advocacy and visibility, conferences and continuing education, and clear communication and organizational structure are highlighted. The author closes with an invitation to members to join one of the many volunteer opportunities available through VLA.
Meh, Marmite, Ick &amp; Wow: Using paired feedback scales for liking and disliking

Iterative mockup prototyping is a widely used way of tackling the problem of requirements change during product development.This is usually combined with use of Likert-style scales for quantitative feedback on each iteration.However, there are inherent limitations in the explanatory power of Likert-style scales running from negative to positive values (e.g."strongly dislike" to "strongly like").In this article, we describe the use of paired Likert-style scales each anchored with a zero value at one pole, with one scale measuring amount of disliking, and the other scale measuring amount of liking.This approach, when combined with a two-axis plot of the values, gives new insights into the nature of users' responses to the mockup being evaluated.The same approach can be used for feedback on existing products and services, both in HCI design and in other fields.
Manuelzão e Miguilim: iniciativas do Ibict para os editores e revistas científicas brasileiras

This is an experience report on the creation of two information services of the Brazilian Institute of Information in Science and Technology (Ibict) aimed at Brazilian scientific journals and publishers: Manuelzão (Brazilian portal of scientific journals) and Miguilim (Directory of electronic scientific journals) Brazilian scientists). Manuelzão lists content related to the creation, management, dissemination and quality improvement of Brazilian scientific journals, which can be applied at different stages and stages of the editorial process. Miguilim aggregates information about Brazilian electronic scientific journals that are spread across different platforms, and aims to confirm the situation of journals in order not to act to increase their editorial quality and internationalization, as well as assist in the democratization of access to scientific knowledge. Keywords: scientific journals; scientific publishing; information services. &nbsp
Cooperative Navigation in Multi-Robot System

This paper proposes a cooperative navigation system for multi-robot systems. The proposed system uses a hitchhiking based approach with a driver and follower (hitchhiking) robot. Our method allows the hitchhiker robot to skip redundant computations in navigation like path planning, localization, obstacle avoidance, and map update by completely relying on the driver robot. This allows the hitchhiker robot, which performs only visual servoing, to save computation while navigating on the common path with the driver robot. The driver robot, in the proposed system performs all the heavy computations in navigation and updates the hitchhiker about the current localized positions and new obstacle positions in the map. Experimental results shows that efficient multi-robot navigation can be performed using the proposed method.
Online Neural Speaker Diarization with Core Samples

We propose an online neural diarization method based on TS-VAD, which shows remarkable performance on highly overlapping speech. We introduce online VBx to help TS-VAD get the target-speaker embeddings. First, when the amount of data is insufficient, only online VBx is executed to accumulate speaker information. Afterwards, a separate offline subsystem is utilized to extract i-vectors based on core samples for TS-VAD online decoding. Finally, we devise a speaker selection strategy that allows TS-VAD to handle an unknown number of speakers. We evaluate our system on AliMeeting dataset. The experimental results demonstrate that our online method can effectively handle high-degree overlapped audios.
Using Poem Generator in Writing Poem 11th Grade of MAN Sidoarjo's Students Voice

Latterly, writing poems manually becomes such a hesitating process in the realm of senior high school students. Lack of experience in writing poems is also one of the difficulties for them. Thus, a poem generator namely Poem Generator was conducted to aid students writing poems. This study aimed to describe the students’ voice related to the use of Poem Generator in writing poems. This study is guided under the descriptive qualitative research design through close-ended questionnaires and semi-structured interview to answer the research question. There were 31 students of XI IPA 1 and 2 were involved as the participants in answering the questionnaire and 6 random selected students were also involved in the interview. The result revealed that the majority of students considered the use of Poem Generator helpful in writing poetry instantly. Although the meaning was sometimes difficult to understand, some participants agreed that the Poem Generator website helped them gain new vocabulary and was a fun experience because they got to know new technology.
Three-dimensional Monocular Image Reconstruction of Indoor Scene Based on Neural Network

In this paper, the monocular depth estimation algorithm based on feature enhanced full convolution residual network is applied to three-dimensional scene reconstruction. Combining FE-FCN <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> (Feature Enhanced Fully Convolutional Residual Networks) algorithm with ORB-SLAM2 algorithm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</sup> , a three-dimensional scene reconstruction system of indoor scene based on monocular image depth estimation algorithm is constructed, which further makes up for the shortcomings of the traditional three-dimensional scene reconstruction algorithm in the less image texture and the reconstruction of the scene in the process of pure rotation of the camera. The practical verification shows that the three-dimensional scene reconstruction system designed in this paper can recover the indoor scene corresponding to the relevant monocular image stably and accurately.
William Hellermann (1939–2017)

Arms places Hellermann’s interview at a crucial stage just before the development of the new series of Visible Musics, which integrate the content and the construction of the music and notation. Childs and Hellermann begin with his education in trumpet and guitar, his attitude toward jazz, and composition studies with Hannah Hall and Stefan Wolpe. He describes his graphic pieces, particularly his Circle Music series, and their realization of a graphic syntax, performance, visual elements, that the idea precedes the notation. He emphasizes timbre and polyphony in certain works. They discuss the nature of the concert situation, and Hellermann’s imminent residency with the Rome Prize. Hellermann wants to avoid the historical imperative of looking for the “next step,” as it does not fit American music.
Images of Figure and Anagram Media Development In Optimization of Vocabulary Master

Media Image and Anagram is an effort to optimize the mastery of Indonesian vocabulary for class I students of Madrasah Ibtidaiyah. This study uses Research and Development (R&amp;D) research methods adapted into 7 Borg And Gall development models: (Potentials and Problems, Data Collection, Product Design, Design Validation, Design Revision, Product Trial, and Product Revision). The population of this study was 26 students of class I MI Islamiyah Tempursari-Lumajang, who were divided into experimental and control groups. Data collection in this study used interviews, observations, questionnaires, and tests. The development of Pictures and Anagrams media resulted in Visual media products in the form of Stand Boards. Media product validation is carried out to determine the product's feasibility, the material validator's results get a score of 94, and the media design validator is 97. The Images of Figure and Anagram media are designed attractively to get a score of 95.3 in response to media attractiveness. In the t-test with a significance level, the results obtained 5% (2-tailed) 0.0001 &lt; 0.05, meaning Ho is rejected and Ha is accepted, so there is a significant difference in increasing Indonesian vocabulary mastery between the experimental group using Pictures and Anagrams media with an impact group that did not use Pictures and Anagrams media.
The Role of Teacher Education in the Development of Teacher Digital Literacy - a Survey

Digital literacy is a relevant skill for success in many jobs including teaching. This skill is growing in importance in the education sector because of digital ways of teaching, learning, managing administrative duties, and interacting with parents. This need has been further highlighted by developments from the covid-19 pandemic. Using the social constructivist theory, this study was aimed at identifying the role of teacher education in the digital literacy basic schoolteachers. 105 responses were received. Results showed the important role played by a teacher’s highest level of education in their current digital competence.
Overload Data Mining Method for Mass Data of Power Network DCS Based on Decision Tree

With the rapid economic development, people's demand for electricity is increasing, and the large amount of data in the power grid is huge and complex. How to effectively dig out users' real, safe, and reliable electricity consumption information from massive data and achieve “real-time” decision-making effects is a topic worthy of research. This article mainly uses the experimental method and the comparative method to analyze and study the decision tree algorithm and the power network overload data. The experimental results show that the detection accuracy of the power grid privacy privacy information based on the decision tree algorithm can reach more than 85%. The data mining algorithm of the system has been fully affirmed.
A Quantum Blind Signature Network Coding Scheme Based on Particle Entanglement

The intermediate communication nodes are allowed by network coding to encode the received data. Moreover, it has been confirmed that the upper limit of the communication network capacity can be achieved, which is conducive to improving the throughput of the communication network, but it is vulnerable to pollution attacks when the classic channels are used as the auxiliary resources. Although the quantum network coding can be used to increase the transmission speed of quantum bits per unit time based on the existing channels, the same security problems have arisen from quantum network coding in terms of the pollution attacks. In this paper, based on the anti-pollution characteristics of quantum signatures, a kind of quantum blind signature network coding scheme is put forward. Since various performances of the signature added in the process of data transmission will be improved, the blind signature is added at the intermediate node of the secure butterfly network and the data has been blinded by means of the quantum entanglement characteristics, yet the data of the intermediate node data packet has not been changed. According to the analysis results, it has defended against pollution attacks with high fidelity, low resource consumption, and low rate area.
POLITENESS AND IMPOLITENESS STRATEGIES USED IN THE “SLEEPING BEAUTY” MOVIE

This research aims to analyze the politeness and impoliteness strategies in The Sleeping Beauty Movie. This research used qualitative method by selecting and collecting data in the Sleeping Beauty movie. After selecting and collecting the data, the researchers identify and analyze word by word conversation among characters and used the concept of Brown and Levinson, Geoffrey Leech, and Bousfield and Locher related to pragmatics study. The result shows that there are 19 examples of politeness strategies, politeness maxims and impoliteness strategies. They are 4 examples of politeness strategies, 8 examples of politeness maxims, 7 examples of impoliteness strategies. The researchers concludes that the positive and impoliteness strategies in the Sleeping Beauty Movie is dominated by positive impoliteness and approbation maxim.Keywords: Impoliteness, Politeness, Pragmatics, Sleeping Beauty Movie, Strategies
Analisis Kesulitan Matematika Materi Jarak dan Kecepatan pada Siswa Kelas Tinggi SD Kutajaya 1

Education is an important thing in shaping the character and intelligence of the nation's children where formal education is divided into elementary, middle, high school, to tertiary schools, at the level of every learning carried out must be well conceptualized and adapted to the character of students, especially at the elementary level. where all basic lessons will be taught and will be a provision to continue further education, especially learning mathematics that is assessed, therefore a good concept is needed. One of the materials in elementary school is distance, time, and speed, this becomes a particular difficulty. The study was conducted to analyze how the difficulty of learning mathematics with distance, time and speed materials for elementary school students 5 SD Negeri Kutajaya 1, this study used a qualitative descriptive method by conducting direct analysis and interviews where grade 5 students at SD Negeri Kutajaya 1 experienced problems in learning. mathematics with material distance, time, and speed. It is proven by several errors and the final score is not in accordance with the specified KKM.
Student Performance in Four Teaching Modalities and Covid-19 in a Research Course at a Hispanic Serving Institution

&#x0D; &#x0D; &#x0D; This study aimed to assess the differential outcomes of students at a Hispanic Serving Institution based on ethnicity, teaching modality, and pre-post pandemic. Descriptive statistics of students’ (N = 117) writing scores, course grades, and retention were reported. All student grades were best for the asynchronous modalities whether virtual or face-to-face. The Hispanic students’ grades were best in course sections with face-to-face interactions; they struggled more than others during the Covid-19 pandemic.&#x0D; &#x0D; &#x0D;
Bibliometric Analysis — as Library Activity in the Field of Science Popularization

The authors offer their view of popularization of science making the results of bibliometric analysis accessible via the library’s website. Traditionally, research scientists want to know if their scientific publications have been referenced in reputable bibliographic databases or find out how many citations the paper generated over a given time period, or how to get the H-index, or explore more current, related research on their topic. The focus of the study was to identify information, which is not related to one user, but is required by the recipients overall. Working through the data, helps to perform ongoing evaluation of scientific institution activity. The survey was conducted among specialists of the Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences” (PSCBR RAS). After studying the information needs of scientists, there were identified the inquires noted in the largest number of questionnaires: the dynamics of publication activity sorted by year, the most productive authors, international cooperation, the most cited and funded scientific trends. The material was gathered from the Web of Science (WoS) and Scopus databases, and the results of the analysis were posted on the website of the Central Library of the Pushchino Scientific Center (Department of the Library for Natural Sciences of the Russian Academy of Sciences). The analysis was carried out within the framework of the PSCBR RAS works. The time period for bibliometric research is 2016—2020. During that period, the research activity of scientists of the PSCBR RAS covered 387 scientific areas. Bibliometric analysis showed 1139 editions where the works of researchers of the PSCBR RAS were published. The authors identified 30 the most popular journals on the subject areas of the PSCBR RAS, in which 35% of all articles were concentrated. In 2016—2020, scientists of PSCBR RAS together with foreign colleagues from 95 countries prepared 171 publications. According to the WoS CC and Scopus indicators, 2834 authors were registered with the affiliation of the PSCBR RAS. With respect to science communication, this paper presents findings aimed at demonstrating the achievements and contributions made by the scholars from PSCBR RAS on a global stage, thereby motivating young scientists for research activities in the Center, and getting attention in mass media. Library staff members who perform this job are able to show the highest professional performance — to acquaint readers with the practical potential of bibliometric analysis: to help find journals most appropriate for user’s research; to provide information on the authors of publications based on the analysis of the number of citations of these papers for future possible joint project, to determine scientific directions that receive the most financial support. The libraryʼs website assumes the role of an external interface to demonstrate the achievements of the PSCBR RAS.
Research on Course Clustering Based on Semantic

The course is the basic unit that constitutes a specialty in the higher education process. Reasonable course setting is the core issue of training scheme of specialty. The current professional talent cultivation has unreasonable course settings of specialty, such as repetition of knowledge points and unreasonable sequence of course opening and other issue. In response to the above question, we propose a course group clustering method that merges online and offline resource knowledge graph, which first collects online and offline resource of the course for integration and establishes knowledge graph based on knowledge points. Effective clustering of course based on knowledge to produce reasonable course group and effectively solve the problem of unreasonable course settings. The results show that the course group clustering method, which merges online and offline resource knowledge graph is effective in course clustering.
Design Of Information Technology (IT) Governance Using Framework Cobit 2019 Subdomain APO01

The purpose of this research is to apply the 2019 Cobit Framework to build an IT Governance design in Instidla. This research belongs to the type of descriptive qualitative research. The method used in making this system is to analyze the relationship of the state of the data and collect data by field research methods, namely by conducting interviews, literature studies and questionnaires. Based on the results of the capability level obtained and the target level as expected, it can be concluded that the gap analysis in the APO01 process is at level 1, which means that the Instidla process more or less achieves its objectives through the implementation of a series of activities that are incomplete or not very organized.
Review of Magmatic Systems at Cratonic Margins, Case Study of Homa Hills, Kenya

Summary The Nyanzian rift in Kenya comprises of Nyanzian system lavas believed to be the oldest rocks in the Tanzanian craton. Homa Hills’ geothermal prospect is within the Nyanzian rift and is off rift from the main Kenyan East African rift system. There are other several processes occurring around and within the Nyanzian rift that could account for its occurrence and geothermal resources. Theory of evolution of cratonic lithosphere could explain occurrence of Nyanzian rift and geothermal resources in Homa hills. A detailed feasibility study of Homa hills geothermal prospect is necessary to determine its suitability for geothermal electric power or direct uses.
Scene Text Recognition with Self-supervised Contrastive Predictive Coding

Self-supervised visual pre-training has recently emerged in scene text recognition (STR), which designs the pretext tasks and takes unlabeled data as input to obtain useful representations for STR. However, most current self-supervised methods do not pay special attention to the importance of sequence awareness. Accordingly, we propose a novel self-supervised STR method based on contrastive predictive coding (STR-CPC), which regards a text instance as a sequence from left to right and captures the visual sequence correlation. Considering the information overlap problem within the feature map induced by the deep convolutional neural network (CNN) encoder, we design a widthwise causal convolution during model pre-training and a progressive recovery training strategy (PRTS) during model fine-tuning to improve the STR performance. Experiments on scene text show that our STR-CPC method outperforms the existing self-supervised methods, which testifies the advantage of visual sequence correlation for STR. Additionally, STR-CPC observably boosts performance compared with supervised training when the amount of labeled data decreases.
Students' Interest Towards the Use of Padlet in Grammar Class: A Case in Indonesia

Humans have to adapt to the rapid change in technology. The oscillation occurs in all existing sectors, including the education sector. For instance, grammar, which was previously avoided, has now started to be noticed by students due to the development of technology. One of the technologies used in education is Padlet. Padlet is an application that is very easy to use and requires no special training. In contrast with most areas of Indonesia, which are already literate with the technology, in Papua, even though many students’ own laptops and smartphones, the teacher used the technology only for administrative purposes, not for supporting student learners. Hence, this research focuses on students' interest in using Padlet in grammar classes. This study was a qualitative research design, and the data was collected using a questionnaire and interview. The questionnaire and interview results showed that students showed a positive interest in learning English grammar using Padlet.
Implementing the First Methods

The prior two chapters have given us a foundation for work, with Chapter 4 laying out the fundamental API calls and stub methods and then Chapter 5 following up with unit and integration tests. In this chapter, we will build upon that foundation and begin to implement our first outlier detection tests. Following the principle of “start with simple,” we will put into place some of the easiest tests: statistics-based, univariate outlier detection tests.
Obstacle Avoidance Algorithm via Hierarchical Interaction Deep Reinforcement Learning

The navigation task in a complex scenario is an essential problem in mobile robot technology. The mobile robot obstacle avoidance algorithm plays a vital role in navigation. In the navigation task, the mobile robot has to select the optimal action under different conditions in real-time. This research proposes a novel obstacle avoidance algorithm based on deep reinforcement learning. The proposed algorithm utilizes interacting with the environment in the simulation to update the decision network. The decision network includes the feature extraction module and the hierarchical interaction module. The feature extraction module can extract and identify the features of dynamic obstacles in the scenario. And the hierarchical interaction module can handle the interaction features between the mobile robot and obstacles. Furthermore, a safety module is applied in the algorithm to guarantee mobile robot collision-free. Finally, the experiment is conducted to evaluate the proposed method in the simulation environment. The experiment result verified the safety and effectiveness of the proposed method and proved that the proposed method could ensure the mobile robot completes the task.