Reviewerly/exHarmony huggingface dataset:
Professional Learning Practices in Literacy Education for Gifted and Talented Students

This chapter focuses on professional learning for developing and implementing literacy education that addresses the unique needs of gifted and talented students. Specifically, professional learning content should include the necessary components of an effective literacy program, as well as effective pedagogical practices. The foundation of an effective literacy program includes phonemic awareness, phonics instruction, vocabulary, fluency, and comprehension, along with writing. Professional learning for phonemic awareness should focus on how teachers can differentiate instructional time for young gifted and talented students when class time is being spent building awareness for other students. Whereas phonemic awareness focuses on the oral expression of letters as sound, phonemic instruction emphasizes the relationship between sound and spelling as applied to the written word. Lists of age-appropriate texts and related bibliotherapy resources are available to share through professional learning activities. Literacy programs for gifted students must include a strong language study component.
“Anti-C(̶Y̶)̶Ber Bullying Policy”: A Policy Proposal to Tackle Cyberbullying in Educational Institutions in India

The fast paced digital spaces have become an extension of our physical existence and so have the institutions which were earlier limited to the offline world. This has also given rise to the problems surrounding delinquent activities such as cyber bullying. Online harassment is often done with the intention to humiliate the victim and subject them to social harms, irrespective of its implications, cyberbullying continues to be a commonplace among student populations in universities. The lack of a robust legal framework, redressal and institutional support worsen the problem, it is therefore important for educational institutions to observe, act, and inspire, safer online behaviour and spaces.A number of jurisdictions globally have attempted to define cyberbullying in various legal instruments. All of these definitions, unfortunately, are overbroad and therefore infringe on free speech. The Indian legal framework presently has no definition of cyberbullying, and it is difficult to fit every instance into the pigeon-hole of an existing civil, or criminal, wrong. We propose an objective definition of cyberbullying. This definition must be discovered by a sample survey of persons with internet access, mental healthcare professionals, and legal experts, to arrive at an objective definition that protects persons from cyberbullying to the fullest extent possible while not infringing on free speech.The institutional enforcement mechanism suggested is a comprehensive one with focus on ways to reduce cyber-bullying. Tackling cyber-bullying by holding offenders accountable at the same time respecting due process rights of the same alleged offender and channelling appropriate resources for the victim to reduce the harm brought in by cyberbullying. We focus on a fair impartial process. Even while the whole world loses respect for due process, we believe that it is non-negotiable.
Virtual museums using in the process of tourism disciplines studying

The article substantiates the feasibility of virtual museums introducing into the process of studying tourism disciplines. The main advantages of implementing virtual museums such as accessibility (in particular for people with disabilities, low-income and imposed isolation), interactivity, informativeness, time limitless, safety, reliability and modernity have been identified. The use of virtual museums in different forms of pedagogical activity is described: work in and out of the class, advanced training and diagnostic tools. The results of a student survey, which confirmed the expediency of virtual excursions using in the educational process (it is interesting for students, increases the level of mastering professionally oriented knowledge and skills, contributes to the development of a sustainable in-depth interest in communicating with museum objects, the development of creative abilities, the formation of media competence) are presented. It is shown that virtual museums provide an opportunity to fill the learning process with new interesting content through the use of modern Internet technologies.
A Sentence Similarity Approach for Machine Reading Comprehension System

The growth of digital textual information demands Machine Reading (MR) research. The outcome of MR is text understanding. The level of understanding or its correctness is the biggest challenge in MR research. The Machine Reading Comprehension System (MRCS) with Multiple Choice Questions (MCQ) is considered to be one of the best applications for MR evaluation. The given comprehension is represented as Linguistic Knowledge Document (LKD) and the MCQ are generated as Candidate Answer Sentences (CAS) based on heuristic rules in our earlier works. Here we proposed a sentence similarity approach for finding the correct answer option for the MCQ. In our work we used Jaccard similarity measure for finding the similarity score. The similarity score between MCQ and each sentence of comprehension text is calculated. Each sentence has set of sentences in LKD. The similarity score between each generated sentence in LKD and MCQ are calculated. The highest similarity score obtained is selected as similarity score of the sentence in comprehension text. In the same way similarity score is calculated for each and every sentences in comprehension text. The sentence which obtained highest score is found to have highest relevance. Next the similarity score for CAS and LKD is done in similar way and the results are stored in a two dimensional matrix where row represent CAS and column represent sentences of comprehension text. Finally, we found the correct answer by our proposed decision making algorithm. The system is implemented using RACE dataset and it achieved good results.
Factors affecting acquisition policies in libraries: A comparative study of Centrally Funded Technical Institutes(CFTI) and Central Universities

The information life cycle in a libraryinvolvesacquisition as one of the steps which involves acquiringdocuments for the library. Relevant resources are procured for use by the users. The process of library acquisition has witnessed a drastic change in recent times due to factors like digitalization, financial disruptions, various modes of delivery etc. The purpose of the present research is to understand the factors affecting acquisition policies of libraries of central universities and CFTIs. Literature review for the study was done from reputed databases like Emerald, Taylor and Francis and Web of Science and a Prisma model was developed to narrow down the literature review process. NVivo was used to understand the literature gap with TreeMap and Word cloud. A structured closed ended questionnaire having components related to acquisition was sent to library staff in the ranks of librarian, deputy librarian and assistant librarian for primary data collection. Descriptive statistics was applied to understand the demographic data and comprehend the importance of various components of acquisition. A comparative analysis was done with respect to the two types of institutions-centrally funded technical institutions and central universities. The conclusion of the research work is that the library staff of centrally funded technical institutions and central universities have different preferences for the factors affecting acquisition. The library staff of centrally funded technical institutions had the top priority for ‘ease of acquisition’ whereas their counterparts in central universities looked for ‘significance of the resources’ the most.
What Causes Phonetic Reduction in Russian Speech: New Evidence from Machine Learning Algorithms

In this paper, we describe the second stage of the study aimed at describing the factors that influence the phonetic reduction of words in Russian speech using machine learning algorithms. We discuss the limitations of the first stage of our study and try to overcome some of them by increasing the dataset and using new algorithms such as random forest, gradient boosting, and perceptron. We used the texts from the Corpus of Russian Speech as the data. The dataset was divided into two separate datasets: one consisted of single words and the other contained multiword units from our corpus. According to the results, for single words the most important features turned out to be the number of syllables and whether the word is an adjective as they were chosen by all algorithms. For the multiword units, the main features were the number of syllables, frequency in Russian spoken texts (in ipm), and token frequency in a given text. In our further research, we are going to expand the dataset and look closer on such features as text type and token frequency in a given text.
Analisis Pola Transaksi Pelanggan Menggunakan Algoritme Apriori

Diengva is a shop that sells various kinds of goods such as household items, household appliances, accessories, flower buckets, clothes, bags, shoes, cosmetics, and others. The large number of purchase transaction data in diengva can be used to analyze customer behavior in purchasing goods. Apriori algorithm is one of the algorithms in the field of data mining for extracting association rules. This study applies the apriori algorithm to find customer buying patterns in diengva store sales transaction data using rapid miner. The rules resulting from the application of the apriori algorithm can be used as a basis for stocking items that meet the minimum support and minimum confidence values. Items that meet these rules are eyelashes, eyelash glue, soft lens, and soft lens water. The confidence value of the relationship between two items can be high so that the results of these rules can be used as the basis for stocking.
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making.

Machine learning (ML) is being applied to a diverse and ever-growing set of domains. In many cases, domain experts - who often have no expertise in ML or data science - are asked to use ML predictions to make high-stakes decisions. Multiple ML usability challenges can appear as result, such as lack of user trust in the model, inability to reconcile human-ML disagreement, and ethical concerns about oversimplification of complex problems to a single algorithm output. In this paper, we investigate the ML usability challenges that present in the domain of child welfare screening through a series of collaborations with child welfare screeners. Following the iterative design process between the ML scientists, visualization researchers, and domain experts (child screeners), we first identified four key ML challenges and honed in on one promising explainable ML technique to address them (local factor contributions). Then we implemented and evaluated our visual analytics tool, Sibyl, to increase the interpretability and interactivity of local factor contributions. The effectiveness of our tool is demonstrated by two formal user studies with 12 non-expert participants and 13 expert participants respectively. Valuable feedback was collected, from which we composed a list of design implications as a useful guideline for researchers who aim to develop an interpretable and interactive visualization tool for ML prediction models deployed for child welfare screeners and other similar domain experts.
Hydrology: The Basics

The word "water" is derived from the older English word “wæter”, or proto-German “water” or German “Wasser”. All these words derived from various languages mean "wet." The word water basically refers the liquid state of the compound. Water exists in various forms. Water is termed as “ice” when it is in solid form, as “steam” when it is in the gas form. Super-critical fluid is formed by water under definite conditions. Hydrology can be defined as the studies related to the movement and the further distribution of the quantities of water above and/or below the surface of the earth. Water cycle or hydrologic cycle is the process of the form of water which continually changes and circulates between the oceans, atmosphere and land. The water of the earth circulates in three media like hydrosphere, atmosphere and the upper part of lithosphere. Water circulates from ocean to the atmosphere, then to lithosphere and finally from lithosphere to the ocean through a complex and interdependent processes which includes evaporation, transpiration, run off, ground water flow, precipitation etc. To have a simple understanding, water rises above the sea level reaching the surface of the earth in the form of vapour. Then clouds are formed from the water vapor which further falls on the earth’s ground as rain.&nbsp; Some amount of rain water gets penetrated into the ground while some other parts of rain water are joined to the moving water systems like streams and rivers.
THE EFFECT OF SIMULTANEOUS ROUND TABLE STRATEGY ON STUDENTS’ ACHEVEMENT IN WRITING DESCRIPTIVE PARAGRAPH AT GRADE SEVEN STUDENTS OF SMPNEGERI 4 SIBORONGBORONG IN ACADEMIC YEAR 2019/2020

This research deals with the effect of Simultaneous Round Table Strategy on Students’ Achievement in Writing. The problem of this research is “Is there any significant effect of simultaneous round table strategy on the student’s achievement in   writing descriptive paragraph?” So, the objective of this research is to find out whether there is or not significant effect of simultaneous round table strategy on students’ achievement in   writing descriptive paragraph. The population of the research was the grade seven students of SMP Negeri 4 Siborongborong in academic year 2019/2020 with total number 210 students distributed in 7 classes. Two classes were taken as the sample by using cluster random-sampling. One class as the  experimental group and the other one as the control group. Each of the group consisted of 30 students. The experimental group was taught by using simultaneous round table strategy, while the control group was taught without simultaneous round table strategy. The instrument for collecting data was the writing test, divided into two types, pre-test and post-test. The data were analyzed by using t-test formula. The result of the t-test showed that the value of t-test was higher than the value of t-table (3.01 > 2.00) at the level significance 0.05 with the degree of freedom 58. Since the value of t-test exceeded the value of t-table, the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. It means that simultaneous round table strategy gave significant effect on students’ achievement in writing descriptive  paragraph.
한국어 유의어-반의어에 의한 체계 학습 연구 - 중국인 학습자의 행동반응을 바탕으로 -

Synonyms and antonyms constitute a close lexical network based on semantic relations in the mental lexicon. In this paper, the lexical decision task was performed by native Korean speakers and Chinese-speaking Korean learners on synonyms, antonyms, and unrelated words. (1) Native speakers were faster and more accurate than learners, and advanced learners processed synonyms more accurately than intermediate learners. (2) All groups processed synonyms and antonyms more accurately than unrelated words, but learners showed a prime effect that differed from non-words in antonyms. (3) The frequency effect has shown only in intermediate learners. These results are explained by a connectionist model that strengthens the connections between synonyms and antonyms based on semantic relations, and it is suggested that learning system knowledge of vocabularies such as synonyms and antonyms is effective. Since learners could receive more help from synonyms than antonyms in word processing using lexical networks, it is necessary to use synonyms to present words in vocabulary teaching and should be suggested new methods or strategies to use antonyms to facilitate learning.(Hankuk University of Foreign Studies)
Analysis with INFISTAT the Usage of E-Resources of E-ShodhSindhu In State Universities of Haryana

e-Shodh Sindhu is a digital initiatives of Indian Ministry of Human Resource Development, a merger of three consortium and provides e-Resources to member institutions of higher education. This study analyse the usage of e-Resources of eShodhSindhu from State University of Haryana with the objective to present the status of e-Resources of eShodhSindhu in State University of Haryana. This paper presents the most useful and important e-Journals, databases etc to improve quality in research, teaching, and education. As well as to explore the least used e-Resources so that their quality and usage can be improved for the optimum use of e-Resources. As optimum use of e-Resources is the recovery of worth in original.
Aplikasi Pengolahan Data Penjualan Pembangkit Listrik Tenaga Surya Menggunakan Model View Controler Berbasis Framework Codelgniter Dan White Box Testing

Solar power plants are engaged in providing services and selling solar cells. The design of the sales data processing application uses a database and generates archiving data reports on the sales data report maker. To meet the needs of inputting sales data, there is a special section that handles the admin section, the cashier section, but this work system already uses a web-based data processing application. The method used in data processing applications is in the form of observation, interviews, and documentation. While the application design method uses document flow charts, data flow diagrams, and use cases. Supporting software in making data processing applications using the php database programming language used mysql. The design of the product sales data application produces a database design, namely the goods data and sales table. Black box test results show the features in the application run accordingly and the white box test results in the login menu generate the same region and path value of 7 for the value of Cyclomatic Complexity=7 , Region=7 and Independent Path=7, meaning that the logic used in the program code is appropriate and running and in accordance with the research objectives that the input process of stock goods and transactions can be done optimally.
Evolution of our reading passport program

Luke Fetherston, from Trinity College Colac, describes their reading passport program. Luke was awarded the 2020 SLAV Research Fellowship to support the exploration of the design and implementation of this program.
Choosing the right algorithm with hints from complexity theory

Choosing a suitable algorithm from the myriads of different search heuristics is difficult when faced with a novel optimization problem. In this work, we argue that the purely academic question of what could be the best possible algorithm in a certain broad class of black-box optimizers can give fruitful indications in which direction to search for good established optimization heuristics. We demonstrate this approach on the recently proposed DLB benchmark, for which the only known results are O(n3) runtimes for several classic evolutionary algorithms and an O(n2 log n) runtime for an estimation-of-distribution algorithm. Our finding that the unary unbiased black-box complexity is only O(n2) suggests the Metropolis algorithm as an interesting candidate and we prove that it solves the DLB problem in quadratic time. Since we also prove that better runtimes cannot be obtained in the class of unary unbiased algorithms, we shift our attention to algorithms that use the information of more parents to generate new solutions. An artificial algorithm of this type having an O(n log n) runtime leads to the result that the significance-based compact genetic algorithm (sig-cGA) can solve the DLB problem also in time O(n log n).
Perkembangan Dan Analisis Kompresi Data

Compression is the process of changing a set of data into a form of code to save storage space requirements and time for data transmission. Currently there are various types of compression algorithms, including: Huffman, LIFO, ZHUF, LZ77 and its variants (LZ78, LZW, GZIP), Dynamic Markov Compression (DMC), Run-Length Compression application, from one type to another, of course is a refinement of the previous types. For example against text / binary data (zip), images (JPEG, PNG, TIFF), audio (MP3, AAC, RMA, WMA), and video (MPEG, H261, H263). The development of data compression, will support the development of multimedia and further multimedia will support the development of ICT. These three elements are synergetic, so that their development can be said to be unlimited. Of course it is expected that in the future data compression will have a high speed, a small (output / input) ratio and an easy algorithm, so that it can support multimedia and at the same time long distance communication becomes more real (as if without distance)
Blockchain Technology for IoT-Based Healthcare Applications

Blockchain is an inherited knowledge system that includes a blockchain. Blockchain functions as a shared ledger or as a worldwide record-keeping system of all transactions on a centralized blockchain. Blockchain is an effective system for storing and putting away records of trade at its core. More specifically, blockchain is a common, permanent record of distributed exchanges operating from linked exchange squares and placing them away in an advanced database. Blockchain depends on built-up cryptographic methods to allow any participant in a network to communicate (such as storing, exchanging and displaying data), without prior confidence between the collections. All participants become aware of cooperation with the blockchain and allow system confirmation before data is included, facilitating trustless organized effort between organizations. Blockchain is virtual cryptocurrency bitcoin's spine technology.
K-MOOC 튜터의 역할과 역량 - 한국어 강좌를 중심으로 -

The purpose of this study is to identify the role that the tutor should play for the effective operation of Korean language courses for K-MOOC foreigners and what competencies are needed for them. I first took a deductive approach and derived a tutor''s role and competency model for the operation of tentative K-MOOC Korean language courses through literature analysis. To validate the validity of the draft model and refine the model, I recruited experts and conducted three times of Delphi surveys. Through three Delphi surveys, the final model was derived by repeatedly conducting the process of modification and supplementation. The model consisted of four roles of the tutor and twenty-five competencies required in this regard.(Kyung Hee University)
What's in Your Wallet? Privacy and Security Issues in Web 3.0.

Much of the recent excitement around decentralized finance (DeFi) comes from hopes that DeFi can be a secure, private, less centralized alternative to traditional finance systems but the accuracy of these hopes has to date been understudied; people moving to DeFi sites to improve their privacy and security may actually end up with less of both. In this work, we improve the state of DeFi by conducting the first measurement of the privacy and security properties of popular DeFi applications. We find that DeFi applications suffer from the same kinds of privacy and security risks that frequent other parts of the Web. For example, we find that one common tracker has the ability to record Ethereum addresses on over 56% of websites analyzed. Further, we find that many trackers on DeFi sites can trivially link a user's Ethereum address with PII (e.g., name or demographic information) or phish users. This work also proposes remedies to the vulnerabilities we identify, in the form of improvements to the most common cryptocurrency wallet. Our wallet modification replaces the user's real Ethereum address with site-specific addresses, making it harder for DeFi sites and third parties to (i) learn the user's real address and (ii) track them across sites.