Reviewerly/exHarmony huggingface dataset:
UZWORDNET: A Lexical-Semantic Database for the Uzbek Language.

The results reported in this paper aim to increase the presence of the Uzbek language in the Internet and its usability within IT applications. We describe the initial development of a “word-net” for the Uzbek language compatible to Princeton WordNet. We called it UZWORDNET. In the current version, UZWORDNET contains 28140 synsets, 64389 sense and 20683 words; its estimated accuracy is 75.98%. To the best of our knowledge, it is the largest wordnet for Uzbek existing to date, and the second wordnet developed overall.
The CLIN30 shared task: Have-doubling in historical varieties of Dutch

The CLIN30 Shared Task is defined as a computational approach to classify have-doubling, which is a syntactic phenomenon combining a past participle construction with an additional participle, usually from the verb have, e.g., ‘he has had lived there’. This paper describes perfect doubling, a particular subform of the have-doubling construction, in detail, and introduces a dataset to study the phenomenon in a computational way. Different classification approaches from the Shared Task participants are discussed, and an error analysis of classification results is provided. The models reach up to nearly 80% accuracy, which is a viable starting point for further research.
Supporting Public-Facing Education for Youth: Spreading (Not Scaling) Ways to Learn Data Science With Mobile and Geospatial Technologies

A project called Mobile City Science (MCS), a partnership between the University of Washington, New York Hall of Science, the Digital Youth Network, and two high schools, leverages young people’s proclivity for on-the-move digital engagement to re-place and mobilize learning through public, community settings that youth identify as being relevant to their daily lives. At its most fundamental level, MCS teaches and engages young people in new forms of data science, especially around collecting and interpreting spatial, real-time, and dynamic data. This digital STEAM curriculum has more ambitious objectives. Ultimately, the research team hopes this work disrupts an absence of youth input in neighborhood and community development processes, using the power of spatial data and visualizations that young people create about their communities as a ticket for entry into ongoing policy and planning conversations. As youth will be the ones making critical decisions about these same communities in due time, it is prudent to apprentice them into valued forms of civic participation. Moreover, as long as youth ideas go unheard, leaders and adult community stakeholders have an incomplete picture — and are missing potentially transformative solutions — regarding current issues. This example of a digital STEAM curriculum for youth to engage in data science with mobile technologies provides ideas for teachers to make instruction more public-facing.
Creencias y actitudes pedagógicas de los profesores de informática en Guayaquil

Pedagogical beliefs and attitudes significantly determine the professional skills and practice of teachers. Many professional development programs for teachers aim to develop pedagogical knowledge in order to improve the quality of teaching. This article presents the study of the pedagogical beliefs of computer science teachers in Guayaquil. Research data reveal that computer science teachers tend to have mixed traditional and constructivist theories that are generally irrelevant to demographic factors or their pedagogical background. In some cases statistically significant correlations are detected with the educational level or with the total teaching service. The results of the study raise suggestions about the design of pedagogical training programs.
SPECIAL COURSE PROGRAM «ASSESSMENT OF THE LEVEL OF INNOVANESS OF THE EDUCATIONAL ENVIRONMENT OF THE GYMNASIUM»: CONTENT AND STRUCTURE

In the process of reforming general secondary education, the issue of creating a modern educational environment is relevant, which would stimulate the natural needs of students to search for novelty and explore new things. We consider the innovative educational environment as an open and dynamic system that should provide comfortable conditions for the development, education and upbringing of students based on universal values and the formation of the key competences necessary for successful self-realization in the XXI century.In pedagogical practice, an important area is the preparation of both practicing teachers and students of higher pedagogical educational institutions, for the application of scientific developments. The article reveals the content and structure of the program of a special course «Assessment of the level of innovativeness of the educational environment of the gymnasium». The purpose of implementing the special course in the process of self-education and professional development of teachers is to prepare the heads and teachers of basic secondary education to use the tools for assessing the educational environment of the school. The author describes the content of the structural components of the special course program (purpose, subject, requirements and expected learning outcomes of teachers according to the special course program, list and content of modules, the amount of learning load and forms of organization of the educational process). Emphasis is placed on the advisability of using the developed tools to assess the innovativeness of the educational environment of the gymnasium, which will help to determine one of the levels (adaptive, experimental, search and initiative, productive) and apply the evaluation results in the strategic planning of school work and designing of its innovative educational environment. In our opinion, this will help to motivate teachers to participate in innovation processes and develop innovative projects. Perspective researches are concerned with studying the results of the implementation of the special course «Assessment of the level of innovativeness of the educational environment of the gymnasium» in pedagogical practice and the search and scientific substantiation of new approaches and methods to ensure the effectiveness of innovative educational environment of educational institutions.
Utilization of Nearpod as an Online Learning Media through Active Learning Strategies for Students

This research is motivated by the problems of lecturers and students during online learning.Lecturers lack insight into interactive digital platforms and the dilemma between synchronous and asynchronous.When synchronous, most students complained about signals, quotas, limited time, and communication patterns.When it was asynchronous, lecturers found it difficult to monitor students' processes.From the student side, 90% of students complained about signals, quotas, limited time, and communication patters during learning through Zoom or Google Meet.As many as 85% of students complained that the learning process was less interactive when learning asynchronously.The purpose of this study is to determine the learning interaction process, to obstacles faced, and student learning outcomes using the Nearpod platform and the application of active learning strategies in the Learning Media course.This type of research is descriptive qualitative.The research subjects were 56 students participating in the course.Data collection techniques by interviewing, distributing questionnaires, observation, and tests.The results showed that through Nearpod and active learning strategies, as many as 100% of students were more able to explore the material, 88% of students were more able to find material independently, 90% of students felt that learning was more interactive, and 84% of students found it easier to understand the material.The problem faced by students was the signal when playing video features in Nearpod.The test results showed that 61% of the students' average score was 87.74 (very good) and 39% of the average score was 60 (sufficient).
Dynamic Token Distribution Model for Privacy Protection of Mobile Users

With the growing maturity of cloud computing and the wider application range, deploying applications on cloud computing platform has become a common way in the Internet industry. The user privacy of cloud server has also become the focus of attention. It is difficult for application providers to fully control the data stored on the cloud server, which increases the possibility of user privacy disclosure. In this paper, we propose a dynamic Token-D model to distribute authentication token of client and cloud server, which uses a third-party server to store user information and generate dynamic tokens. The client and cloud server achieve dynamic tokens to manage login authentication and information interaction. The experimental results verify the feasibility of the model, which can effectively protect the privacy of users a degree.
The Relationship between Musical Scale, Cello String Length, and Math

I play the cello, but my intonation is not good because I do not always remember where to place my fingers on the strings. Usually I use a tuner to help me find the right spots, and then I put stickers to mark the locations. However, I always ask myself: What makes these locations the right spots for the right pitches? Can I prove it mathematically? In this project, I want to know the sticker locations using math only, without a tuner. First, I used my tuner to determine where to press the string for C, C#, D, D#, E, F, F#, G, G#, A, A#, B, and C. Next, I measured the pressed string length with a tape ruler. Then I calculated the pressed string length ratio to the whole string. For math, I knew there are 12 half-notes within an octave and the length is halved (50%) for each octave. I just needed to find a multiplier that divides the length between 100% and 50% equally. In other words, I needed to find a number M such that M*M*M*M*M*M*M*M*M*M*M* M=0.5. By using a scientific calculator, I found the magic number, M, to be 0.944! This means that for each half-note, the string needs to be reduced to 94.4%, and for each whole-note, the string needs to be reduced to 89.1%.
Supporting of Children with Special Needsin Inclusive Environment by the Teachers Collaboration

This article reveals the features of effective teamwork (teachers, specialists, parents)in management, training in working with children with special needs, in a general educationschool. To achieve positive results when working with children with special needs in mainstreamschools, educators must have sufficient teamwork skills. The results of the study confirmed theeffectiveness of the developed pedagogical, and psychological program for the optimization ofcommand control and interaction.
Deduplication Supporting Strong Privacy Protection for Cloud Storage

Cloud computing is developing as the following disruptive utility worldview. It gives broad capacity capabilities and an environment for application engineers through virtual machines. Third-party inspectors (TPAs) are becoming more common in cloud computing implementations. Consequently, including reviewers comes with its issues such as belief and preparing overhead To achieve productive examining, we ought to (1) fulfill efficiently auditing without asking the information area or introducing preparing overhead to the cloud client; (2) avoid presenting unused security vulnerabilities amid the auditing handle There are various security models for safeguarding the CCs (Cloud Client) information within the cloud. The TPA methodically analyzes the prove of compliance with set up security criteria within the connection between the CC and the Cloud Benefit Supplier (CSP). A novel strategy to create the record for a copy check, and utilize a modern methodology to create the key for the record encryption. In expansion, the client as it were must perform lightweight computation to produce information authenticators, verify cloud information keenness, and recover the information from the cloud.
EDUKASI PERAWATAN ORGAN REPRODUKSI EKSTERNAL SAAT MENSTRUASI BAGI REMAJA PUTRI MELALUI VIDEO ANIMASI TIPE MOTION GRAPHIC

This study discusses the design of a socialization video entitled Menstrual Health and Hygiene with motion graphic techniques. This is based on the importance of a woman to maintain personal hygiene, especially during menstruation and the lack of socialization media that discusses the maintenance of cleanliness and health of women's external reproductive organs, especially during menstruation. Therefore, a media outreach was designed in the form of video socialization with motion graphic techniques to help socialize how to maintain the cleanliness and health of women's external reproductive organs, especially during menstruation effectively and attractively. The method used is a mixed method for data collection and quantitative testing of product results. In this design, the process of making socialization media, from the concept design to the final result, is in the form of video socialization with motion graphic techniques. The results achieved from this research were in the form of a socialization video entitled Menstrual Health and Hygiene, able to convey information about hygiene and health of female external reproductive organs, especially during menstruation and can be used as a media for Menstrual Health and Hygiene socialization.
의열단의 對日 거사계획과 박열의 의열투쟁

Founded on Nov. 9, 1919, Chosun Euiyeoldan(義烈團) steadily waged a righteous struggle. In the wake of the failure of the first general attack plan in Korea, the Euiyeoldan reorganized its departments...
PECS'21: The First Workshop on Performance and Energy-efficiency of Concurrent Systems

Concurrent systems, based on (distributed) multi/many-core processing units, are the nowadays reference computing architecture. The (continuously-growing) level of hardware parallelism they offer has led these platforms to play a central role at any scale, ranging from data centers, to personal (mobile) devices. Optimizing performance and/or ensuring energy efficiency when running complex software stacks on top of these systems is extremely challenging due to several aspects, like data dependencies or resource sharing (and interference) among application threads, as well as VMs. Furthermore, hardware accelerators like GPGPUs or FPGAs introduce a level of heterogeneity that can potentially offer further opportunities for combined gain in performance and energy efficiency, if correctly exploited.
Estonian as a Second Language Teacher's Tools.

The paper presents the results of the project “Teacher’s Tools” (et Opetaja tooriistad) published as a subpage of the new language portal Sonaveeb developed by the Institute of the Estonian Language. The toolbox includes four modules: vocabulary, grammar, communicative language activities and text evaluation. The tools are aimed to help teachers and specialists of Estonian as a second language plan courses, create new educational materials, exercises and tests based on CEFR level descriptions.
Research Guides: IS 390/490: Home

This guide gives general suggestions for library resources for students completing their capstone projects in Information Systems.
Attribute-Based Technique for Searchable Encryption on Cloud Storage

Cloud computing and cloud services are getting popularity because it providing low cost solution for storages and high speed data computation. Now data are transferring local storage to cloud because of its feature of large storage on low price. But cloud some time untreatable because of lack data confidentiality against to third parties. cloud servers are using some cryptographic technology for protection data at the time of downloading. However it is difficult to perform some task on encrypted data like searching of data over cloud. To solve this issue Encrypted encryption technique are use. Single user setting searchable encryption is more efficient in compare to multi-user setting. Here we proposed attribute-based searchable encryption technique for multi-owner to multi-user search. This technique keep the data safe in the cloud next to the various third party attack on data. It allow user to execute search process on encrypted data only when they have appropriate authorization. Searching is perform on token basis , tokens are generated by user instead of owner of data. We conform with this technique that the token confidentiality and index confidentiality are better confined in our scheme. Any illegal user & cloud servers are not capable to get some info regards search token and ciphertexts. We user constant size ciphertexts for reduced the time complexity and bandwidth of our scheme.
Content Based Image Retrieval (Cbir) For Storing Of Products

With rise in complexity of materials and lack of necessary skills among the mass population, it is necessary to find a system that can help the employees to identify the materials without the help of additional labour, training and manuals. Hence, a system has been created to identify the material and give similar materials when the model is provided with just an image of the material in question. This being an unlinked database helps in maintaining privacy of the company. Convolutional neural networks are used for object detection and then captioning is done by Recurrent neural network which also compares the generated caption with the provided database and return the best match. LSTM and NLP aid the process of caption generation and search. The dataset used is MSCOCO 2014. The evaluation metrics is BLEU which returned a score of 70.3%. The whole idea is easy to combine with concepts like KANBAN and facilitate the layout design of the company to a great flexibility. By reducing the time spent on training and sorting the efficiency of the firm is increased. The system created for identifying the material can be interlinked with centralised inventory management system to help track the material in the production process. The layout of the store was not optimised which resulted in delay in the production process. This can be rectified using a software like ARENA to design the store layout. With a system in place for material deduction the steps followed in stores can be reduced.
Hasil Belajar Mata Pelajaran Ekonomi Ditinjau dari Kedisiplinan dan Keaktifan Belajar Siswa Kelas X SMA Negeri 1 Cepogo Tahun Ajaran 2019/2020

The purpose of this research: 1) The effect of learning discipline on learning outcomes of economic subjects in class X SMA Negeri 1 Cepogo. 2) The effect of activeness on learning outcomes of economic subjects in class X SMA Negeri 1 Cepogo. 3) The effect of discipline and learning activeness on learning outcomes of economic subjects in class X SMA Negeri 1 Cepogo. The population of this research was IPS class X at SMA Negeri 1 Cepogo with 106 respondents. Sampling as many as 68 respondents using simple random sampling technique. The research data is obtained by distributing requestionnaires and documentation. The data analysis technique used is multiple linear regression analysis, t test, F test, R2 test and effective contribution and relative contribution. The results of multiple linear regression analysis obtained by the regression line equation: Y = 6.272 + 0.817 X1 + 0.850 X2. The conclusions of this research are: 1) Discipline has a positive and significant effect on students learning outcomes. This is evident from the t test obtained by tcount> ttable, is 3.354> 1.997 and significant ttable, is 2.494> 1.997 and significant Ftable is 9.489> 3.14 and a significant value <0.05 is 0,000 and the coefficient of determination is 0.226 or 22.6% while the remaining 77.4% is influenced by other variables not examined in this study.
Aplikasi Kerja Praktik Berbasis Web pada PT Sriwijaya Internet Services Palembang

The development of information technology in the modern era is very fast. This development must be responded positively in order to produce good benefits for a company or organization to obtain information and manage data so that it can assist in decision making. This change is expected to be able to encourage the organization or company to have better management. One of them is at Pt. Sriwijaya Internet Service Palembang which still uses manual methods in managing apprentice data so that it does not take advantage of developments in information technology. Here the researcher intends and views the need to develop a web-based practical work information system using the waterfall method. The results of the test show that the system created is able to make the flow of registration easier to manage practical work data at Pt. Sriwijaya Internet Service Palembang.
Optimised K-anonymisation technique to deal with mutual friends and degree attacks

Online social networks have become a predominant service on the web, collecting the huge amount of users' information. It is drastically revolutionising the way people interact with each other. Publishing data of social network users for researchers, academicians, advertising organisations, etc. has raised many serious privacy implications. Lots of techniques have been proposed for preserving the privacy of individuals handling different types of attack scenarios used by adversaries. In this paper, we address a new attack model, i.e., mutual friends attack model, in which an adversary can identify the victim nodes by using information about the number of their mutual friends. An algorithm 'optimised K-anonymisation' has been devised that can deal with two types of attacks, i.e., degree attacks and the number of mutual friends attacks. The experimental results illustrate that our proposed algorithm can preserve the identification of individuals and subsequently maintain the utility of data.
Algorithm for extracting product feature from e-commerce comment

&lt;span&gt;Reviews of e-commerce play an important role in online purchasing decisions. Consumers are likely to read reviews and comments on products from other consumers. In addition to those opinions that reflect consumers' trust in products, it also provides each product's distinctive properties. Today, there are many online reviews, resulting in enormous comments and suggestions. However, as fully reading reviews is quite difficult, this article presents 3 algorithms for automatic extraction of product features hidden in e-commerce reviews: a traditional frequency-based product feature extraction (F-PFE), syntax analyzer system (SAS), and the hybrid approach called the frequency and syntax-based product feature extraction (FaS-PFE). The proposed algorithms were tested against 4 different types of products: shampoo, skincare, mobile phone, and tablet, using reviews from amazon.com. Based on the product review used in this study, it was found that the SAS can help improve the performance in terms of precision by 15% when compared with the traditional F-PEE approach. When considering both the word frequency and syntax, FaS-PFE clearly outperforms the other two approaches with 94.00% precision and 95.13% recall.&lt;/span&gt;