Reviewerly/exHarmony huggingface dataset:
Utilizing Memrise application as instructional media-based technology to enrich the students’ vocabulary mastery

The objective to be reached in writing this article is to share information about the use of Memrise Application as instructional media to enrich the students’ vocabulary mastery in learning English. It is true to say that there are lots of instructional media available in such a way that they can be used as the assistance for the teachers to deliver the materials as well as for the students to understand the materials. It is recommended that the teachers should apply various media to improve the quality of teaching and learning English in the classroom. However, the are many students from elementary school up to university level still get difficulties when they learn English. The students cannot listen carefully and get misunderstanding, they also hesitate to speak English, they do not understand the difficult words when they read English passage, and they cannot write good sentences and/or paragraphs in English as well. Besides, the method used in this article followed descriptive qualitative analysis procedures on critical reviews. From those points above, it is clear that the use of Memrise Application can be expected to be the solution to solve the problems occurred in attempts to increase the students’ vocabulary when learning English. At this time, technological advancement in education is very influential on the learning process. Moreover, seeing face-to-face learning in schools has begun to change to online learning. Therefore, teachers should take good advantage of current technological advancement to create innovative learning media/methods, especially in vocabulary learning. Memrise is an example of technological advancement that can be used in vocabulary learning. Memrise is a free language learning platform with a website, iOS and android learning apps. This application can be accessed via computers and applications on smartphones and tablets. Memrise uses audio, images and provides creative activities to help students learn and remember words and their meanings. Memrise Application can be used inside or outside the classroom. Utilizing Memrise Application will most likely increase the students’ the vocabulary. So, it is possible to apply this application in the teaching and learning process because it is very simple and easy to operate.
Research on Key Technologies of Public Opinion Analysis of Power Operation and Maintenance Based on Deep Learning

With the rapid development of network and social media, the operation and maintenance department of power supply enterprises is facing a complex situation of network public opinion. How to use deep learning method to analyze the public opinion information of power operation and maintenance is a topic worthy of our consideration. In view of the high cost of manual annotation of public opinion training in the field of power operation and maintenance, and combined with the characteristics of public opinion analysis in the field of power operation and maintenance, this paper adopts the active learning strategy and the dual channel convolution neural network (WEP-CNN) model which integrates the emotional polarity of words to analyze public opinion. The model greatly improves the labeling efficiency of data sets, and achieves significant improvement in accuracy, recall, F1 value and other indicators.
LibGuides: Library Resources for Your Canvas Course: Where to Find Permanent URLs for Library Resources

A guide to embedding library resources and services in your online courses, for Valencia College faculty.
PELATIHAN STRATEGI MENINGKATKAN KOSAKATA BAHASA INGGRIS MENGGUNAKAN CROSSWORD PUZZLE PADA SISWA SDN 20 NAN SABARIS PARIAMAN

English is one of the subjects that the students learn in the school. Although it has been studied since elementary school, English is still one of the subjects that are considered difficult and boring by the students, because English is not their mother tongue. Therefore, teachers in the schools must be creative in teaching English so that the students become interested in learning it. Especially for elementary students, the teachers can teach English by using playing tricks while learning so that it can trigger the students' enthusiasm to learn, so that learning English becomes something fun. One strategy that can be implemented is learning while playing by using Crossword Puzzles. This can add or improve the students' vocabulary in learning English. For this reason, this activity aims to train the students to learn English to be fun by using Crossword Puzzles. The output target of this activity is to help the students in growing their interest in learning English and to help them to improve their English vocabularies in a fun way.
Digital Seismic Network:To Map Himalayan Orogen and Seismic Hazard

According to the Gutenberg–Richter law 1 , at least one earthquake of magnitude greater than 7 occurs every month along the seismically active belts in the world. Earthquakes are the manifestation of fault slip at depths, thus, there is no direct method to measure or observe them. However, seismometers can record ground velocity or acceleration caused by the occurrence of an earthquake when a fault slip occurs at depth. Therefore, setting up a seismic network is inevitable to understand the physics of earthquake processes, thereby, mitigating earthquake hazard.
The Impact of Remote Learning on Unnes Student Satisfaction during The Covid-19 Pandemic: Structural Equation Modeling Approach

The remote learning process during the Covid-19 pandemic impacted high student expectations of service quality. If educational institutions, especially lecturers, cannot provide quality services to students, there will be a problem of dissatisfaction in learning. Student dissatisfaction has an impact on low student participation during the learning process. This can reduce student participation and lower independent learning online. Therefore, institutions and related parties must analyze the quality of learning services consisting of tangible, reliability, responsiveness, assurance and empathy for student satisfaction. The method used to analyze these factors is to use the structural equation modelling (SEM) method. SEM analysis results show that the service quality factors consisting of tangible, reliability, responsiveness, assurance, and empathy, which significantly influence student satisfaction, significantly affect UNNES student satisfaction during the learning process using virtual learning. The important elements that are very influential are tangible and responsiveness with a significance level of α = 5% with a value of t> 1, 96, namely 0,009 and 0.004 with an estimate of 0, 44 and 0. 79. SEM analysis results also show that the factor reliability, assurance and empathy have no significant effect on student satisfaction, which is indicated by the t value <1.96, namely 0,664 0,438, 0,396 with an estimated value of -0,281, 1,166 and -0,722
PENGARUH PENGGUNAAN STRATEGI CONTEXTUAL TEACHING LEARNING DALAM MENINGKATKAN KETERAMPILAN PENGGUNAAN UANG KERTAS PADA ANAK TUNA GRAHITA RINGAN DI SLB ASIH MANUNGGAL

Contextual Teaching and Learning (CTL) is the linkage of each material or learning topic with real life. Based on the results of interviews and observations that have been conducted by researchers at SLB Asih Manunggal, the problems found are that there are some child students with intellectual barriers who still experience obstacles in using money skills. The research method used is an experimental method with single subject research (SSR) with A-B-A design. with the habit of learning to find something to solve problems in their life through practice and it is hoped that through this direct practice children can understand and improve skills in using money. The effect of the Contextual Learning strategy on money-using skills can be proven by looking at the average level obtained during the research phase, namely 40.9 for the mean baseline level-1 (A1), 66.1 for the intervention phase (B) and 82.03. for the mean level at baseline-2 phase. Then in the overlapping data analysis, the baseline-1 (A1) phase to the intervention phase (B) had a low proportion, which was 0% as well as the intervention phase (B) to the baseline-2 phase.Keywords: Contextual Learning Strategies, Skills to Use Money,
Novel paths to convert teens from consumers to producers of technology in developing countries

This generation of teenagers is experiencing a kind of information revolution that no known throughout history. One of the most important aspects of this revolution is the provision of more and more ways of entertainment, from cartoon films and cinematic tricks to games that are not without one of these smart devices that dominate our world now. Therefore, it was useful to devise a scheme to transform them from consumers of technology to producers and developers, and that plan would be compatible with the difficult conditions encountered by these adolescents in developing countries. Two tracks have been laid out in this research to complete the conversion plan. The first path focuses on animated stories and games for Windows and the second for producing applications and games for the Android operating system used most smart devices. Scratch and App-inventor are the base tools of the two tracks.
The Effect of Juncture on Accurate Interpretation

This study tackles a new aspect that relates phonology and interpretation. It indicates that juncture may cause misunderstanding and therefore mistranslation. The significant problem is in relation to interpretation as it may not be accurate because the translators do not have good knowledge of certain phonological phenomena, and this causes phonological ambiguity leading to wrong translation. Thus, the translator cannot catch the idea of the utterance. The study depends on real test that is applied to students of fourth year in Tikrit university/ college of Arts/ Translation Department, to investigate the percentage of mistakes of
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation.

Slot-filling and intent detection are the backbone of conversational agents such as voice assistants, and are active areas of research. Even though state-of-the-art techniques on publicly available benchmarks show impressive performance, their ability to generalize to realistic scenarios is yet to be demonstrated. In this work, we present NATURE, a set of simple spoken-language oriented transformations, applied to the evaluation set of datasets, to introduce human spoken language variations while preserving the semantics of an utterance. We apply NATURE to common slot-filling and intent detection benchmarks and demonstrate that simple perturbations from the standard evaluation set by NATURE can deteriorate model performance significantly. Through our experiments we demonstrate that when NATURE operators are applied to evaluation set of popular benchmarks the model accuracy can drop by up to 40%.
Game the Oretic Approach for Cloud Service Negotiation

Cloud computing is a booming technology in the area of digital markets. Tackling the nonfunctional characteristics is a big challenge between service consumers (SC) and service providers (SP). Without proper negotiation between the participants specifying their quality of service (QoS) requirements, service level agreement (SLA) cannot be achieved. Two strategies that are commonly prevalent in the negotiation process are concession model and trade off model. The concession model assures the service consumer (SC) receiving the services on time without any deferment. But service consumer has only limited utility. To balance the utility and achievement rates, the authors propose a mixed negotiation approach for cloud service negotiation, which is based on “Game of Chicken.” Extensive results show that a mixed negotiation approach brings equal amount of satisfaction to both service consumer and service provider in terms of achieving higher utility and outperforms the concession approach, while taking fewer time delays than that of a tradeoff approach.
Fast extended active contours model without edges

The traditional active contours model without edges (CV model) can not deal with the image with intensity inhomogeneity. Extended active contours model without edges (ECV model) can solve the problem by utilizing image edge information. However, the ECV model still has the disadvantages of slow evolution speed and poor noise resistance. This paper simplifies the ECV model and changes the driving force by simplifying partial differential equation into ordinary differential equation. The experimental results show that the new model is not sensitive to the initial contour of the evolution curve, and can segment the images that can be segmented by ECV model faster, and the robustness to noise is stronger than that of ECV model.
Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter

The paper deals with the issue of hate speech and radicalization. Oftentimes, they are spread by means of social media. Twitter lets one express their views in a relatively anonymous way; however, it seems to be a simple, yet effective tool for disseminating offensive or radical contents, too. The paper proposes an effective solution which applies machine learning for detecting signs of radicalization and hate speech in Twitter posts. The authors decided to use the Polish language, which due to the level of its complexity is known to pose a challenge for automated sentiment analysis. The authors also needed to create their own dataset of posts containing hate speech, as prior to the experiment, there existed no such datasets in the language. In the paper, the underlying technologies are first presented, then the course of experiment is described and the final conclusions are given thereafter.
¿Mejorando aprendizajes con robots? Análisis Sistémico

In order to face distance education, the various countries have been forced to follow the guidelines of international organizations, in that sense the deployment of the internet is becoming increasingly urgent so that children and adolescents in schools in the world can access the educational service. One of the projects launched by the UN and that should be considered in their study plans by the schools of the member countries is the application of artificial intelligence AI, because it provides great benefits both on a cognitive and socio-emotional level. The objective of this work is the systemic compilation and subsequent hermeneutical analysis of the  problem that arises in relation to the implementation of educational robotics in the curricular plans from the schools where basic education is taught. Among the materials and methods, a review of indexed journals was carried out both in the Scopus, Google Academic, Scielo and Redalyc search engines of Latin American countries and as a country referringto Spain that are between the period of 2017 to 2021. Among the results was able to find that the topic of educational robotics is of growing interest and that it is the years 2018 and 2020 where publications increased, and among the countries of the region where its dissemination from schools is being promoted, Brazil, Mexico and Colombia stand out.
Mengukur Tingkat Literasi Teknologi Informasi dan Komunikasi Mahasiswa di Indonesia

Nowadays, Information and Communication Technology (ICT) competence or literacy is an essential. The study measures the students' ICT literacy level and identify the influencing factors. It uses the People Capability Maturity Model (P-CMM) and Digital Competency frameworks. Data were collected using a questionnaire from a random sample of 400 students in Indonesia. The questionnaire used is a self-efficacy method, where respondents answer questions with self-reflection. The literacy level is the average of the responses. The influencing factors were evaluated by multivariate regression analysis. The results show that the level of ICT literacy of Indonesian students is at the level three (defined) of the five levels of the P-CMM framework, indicating that on average students understand and can apply ICT consistently to achieve their goals. This study found ICT literacy is influenced by the availability, accessibility, frequency of use, and duration of use of ICT infrastructure. Educational background, social science or exact, moderates the relationship between duration of use and levels of ICT literacy. In terms of competence, college majors have an effect on all areas of ICT competence (internet activities, communication and collaboration, digital content, security and problem solving). The level of parental education only has a significant effect on security competence and problem solving.
Research on intelligent service mode of digital library based on data intelligence

This paper introduces the concept and characteristics of data intelligence and digital library intelligent service, points out the characteristics of digital library intelligent service, and carries out the exploration of the construction method of digital library intelligent service mode based on data intelligence, so as to propose the implementation path of digital library intelligent service mode.
Phase tomography of spontaneously emitted photon-pairs

We have directly measured the joint spectral phase of spontaneously emitted photon-pairs for the first time. We have devised a novel tomographic method using quantum interference of bi-photon functions. This method can potentially be used for quantum sensing.
STUDI PERENCANAAN NORMALISASI SUNGAI BABAKAN KABUPATEN BREBES

Abstract: In early 2020, from January to February, 6 floods were recorded, the worst was when the embankment overflow occurred in the villages of Kemurang Wetan, Kemurang Kulon and Pejagan.  The cause of flooding in the Babakan River is high rainfall intensity and is not supported by an adequate river cross-sectional capacity. From the results of the planned rainfall analysis, it was found that the average rainfall in the Babakan River Basin was 81.63 mm. The research locations are located in three points which include Kubangwungu Village with a plan length of 750 meters, Sutamaja Village with a plan length of 300 and Kemurang Wetan Village with a plan length of 1000 meters. From the observation location research of flood discharge was recorded 91.56 m3/ sec and average daily discharge is 1:45 m3 / sec.  At the existing conditions, the cross section of the river is able to accommodate a discharge of 91.56 m3 / s based on a simulation of the flow profile calculation with the help of Software HEC-RAS 5.0.7. Based on the calculation of the cross-sectional dimensions, it is found that the ideal cross-sectional detail is 30 meters wide, 5.2 high and 4 meters wide with Q plan, namely Q50 721.33 m3 / s with the assumption of a discharge of 510,353 m3 / s with the shape of the cross section according to conditions in the field, either using slope 1 : 2 and 1: 1.
A Performance comparison Between ASP.NET Core and Express.js for creating Web APIs

Modern web applications are growing in complexity and becoming more widely used. Using frameworks to build APIs is a popular way for both hobby developers and businesses to speed up development tim ...
LibGuides: Digital Literacy Tool Box: Developing Digital Literacy

A compilation of digital literacy toolkits for all age ranges to help information seekers feel comfortable and confident in accessing and utilizing information digitally. An overview of developing digital literacy skills.
Detecting quantum capacities of continuous-variable quantum channels

Quantum communication channels and quantum memories are the fundamental building blocks of large-scale quantum communication networks. Estimating their capacity to transmit and store quantum information is crucial in order to assess the performance of quantum communication systems, and to detect useful communication paths among the nodes of future quantum networks. However, the estimation of quantum capacities is a challenging task for continuous variable systems, such as the radiation field, for which a complete characterization via quantum tomography is practically unfeasible. Here we introduce a method for detecting the quantum capacity of continuous variable communication channels and memories without performing a full process tomography. Our method works in the general scenario where the devices are used a finite number of times, can exhibit correlations across multiple uses, and can change dynamically under the control of a malicious adversary. The method is experimentally friendly and can be implemented using only finitely-squeezed states and homodyne measurements.
Extending semantic browser style specifications for Semantic Web inferencing

This thesis proposes patterns of use for semantic browser interface specifications for inferred data using the Fresnel semantic browser style language. We also propose our own extension called Fresnel Inferences. The use of style for the presentation of inferencing, independent of other styles for presentation, contributes to the flexibility, reusability and development of information systems. We map references to the user interface with style sheets, which can then be adapted by an administrator to specific business needs through inferencing of display classes. This research proposes both use of current and extensions to form-based interface specifications for Fresnel to display presentation of inferencing results to end users in a human understandable way. Displaying the inferencing using styling and color in semantic browser as user interface components, the usability of Fresnel is further extended. For this thesis Fresnel code is used for repeatability. Mockups show how a conforming browser with SMW as platform could implement it. In addition, it provides both the ability to make information of existing data available and form-based annotation interfaces to new data. The widely used rule-based fictional case of a car rental company EU-Rent is used as a demonstration how the mapping can be applied.
Machine Learning and Ensemble Methods

Herbert Alexander Simon was archived Turning Award in 1995 and Nobel prize in economics in 1978 defined learning as any process by which a system improves performance from experience [2].
Technology -Based Support in Organizations and the Impact on Affective Commitment

Pandemic covid-19 has increased organizational management's dependence on technology and online support to ensure the organizations' sustainability and execution of operation.This study tested the extent to which support from supervisors and colleagues in adapting technology can increase employee affective commitment to the organization.Data were collected using purposive sampling technique by distributing 250 questionnaires to respondents working in government institution in Malaysia.Smart-PLS software was used to analyze the measurement and structural of the model.The results of the study showed that supervisor support and peer support had a positive relationship with affective commitment in organization.The commitment from the employee able to drive the organization in achieving its vision and objective.