Reviewerly/exHarmony huggingface dataset:
Indonesian Interference in the Students’ Writing of Recount Text at SMA Negeri 1 Toma

The obejctives of this research is two-fold: to describe how Indonesian language interferes the recount text written by students of SMA Negeri 1 Toma and to identify the types of Indonesian interferences in recount texts written by Students in question. The design of this research is qualitative. Data of the research were analysed using the qualitative data analysis technique of Miles et al. (2014). The data in this research were recount text written by students of SMA Negeri 1 Toma and semistructure interview taken from the students in SMA Negeri 1 Toma. Results show Indonesian language system interfered the recount texts written by students of SMA Negeri 1 Toma in that the students adopted the way of Indonesian words, phrases, and sentences are structured. The types of Indonesian interference occur in recount text written by students of SMA Negeri 1 Toma distinguished into morphological, syntactical and semantic. Therefore, it can be concluded that students adopted the way of Indonesian words, phrases, and sentences are structured because they do not master Indonesian or L2 and English or L3 most in structuring the phrases and sentences. The teaching of English to non-English speaking people should take into account the highlights of the differences between English and Indonesian linguistic system.
An Investigation of The Vulnerability of Information Technology Governance (ITG)Models And Multi-Stakeholder Security Governance Scaling (MSGS) Correlatesthat Supports Decision-Makers Scalability Mechanism for the SuccessfulImplementation of ITG Within UK's SME Aviation

Primarily, our focus on secondary data obtainable from journal articles and a futurelearn.com study platform will beused to collect data on SME decision-makers. Data will also be raised on stakeholder views considering the obstaclesto the implementation of ITG by SMEs. Such an opportunity will provide a basis for future research on why SMEs arebecoming involved in the application of ITG models. Further information on how such could help in the successfulimplementation of ITG by SMEs will be explored/evaluated. Subsequently, this includes theorising scaling in ITG todetermine the correlation between ITG and MSGS. Similarly, a fuller insight becomes achievable by the researcher onthe implementable ITG; whereby the strategy is compared to the theory in practice. The findings remain a contributionto knowledge. This section – Research Methods will give the subtleties of the optional information procedure embracedto address the examination issues recognised above, together with the methods for gathering information for theinvestigation, including the interpretation and the examination of the data received. The paper concludes by highlightingthe constraints with the choice of secondary data strategy and its usage.
Demarcación de la educación ciudadana en la convivencia democrática y la intercultural en etapa escolar

The present study shows, the demarcation of citizen education in democratic coexistence and interculturality in students of school stage. The development was under the quantitative approach, descriptive and explanatory. Information was intentionally collected from 94 students between 15 and 17 years old from two Educational Institutions which applied the instruments to detect the behavior of the study variables, leading to the fact that citizen education has a demarcation in democratic coexistence and interculturality, since the variability of democratic coexistence and interculturality depends on 79% of citizen education, where the highest percentage of students are located at the level of the process in the construction of their learning about their identity, autonomy and the exercise of their rights, at the same time they are building their learning in democratic coexistence in terms of active participation who assume their responsibilities, while in interculturality the cultural strengthening and respect for existing differences in recognition of others is appreciated.
Language To Language Translation System

The system used in Language to Language Translation is the phrases spoken in one language are immediately spoken in other language by the device. Language to Language Translation is a three steps software process which includes Automatic Speech Recognition, Machine Translation and Voice Synthesis. Language to Language system includes the major speech translation projects using different approaches for Speech Recognition, Translation and Text to Speech synthesis highlighting the major pros and cons for the approach being used. Language translation is a process that takes the conversational phrase in one language as an input and translated speech phrases in another language as the output. The three components of language-to-language translation are connected in a sequential order. Automatic Speech Recognition (ASR) is responsible for converting the spoken phrases of source language to the text in the same language followed by machine translation which translates the source language to next target language text and finally the speech synthesizer is responsible for text to speech conversion of target language.
Editorial Highlights on Ecological geochemistry

Ecological geochemistry is worried about the sources, dispersion andassociations of substance components in the framework rock–soil–water–air–life. In this Special Issue, we might want to zero in on the investigationof geochemical conduct of possibly unsafe components in various conditionsand the evaluation of estimation vulnerability. The surface climate, nearest toman, has predominant significance.
La búsqueda de objetos de aprendizaje textuales para el profesorado: una forma de integrar a la biblioteca digital universitaria en las plataformas de educación a distancia

Learning management systems are redefining the meaning of higher education. Its development has allowed reproducing the experience of learning without having to go to the classroom. So that the digital library doesn't lose visibility to the college community, it must be actively integrated into the distance educational projects. This conference describes a digital reference service for searching textual learning objects, whose direct users are the teachers. The selected objects are included in the subjects’ bibliographies, which are later accessed by the students from the learning management system. To do so, the reference service must select relevant documents in coordination with the teachers, and provide digital access, observing copyright. Furthermore, as one of the attributes of learning objects is reutilization, their metadata must be described in order to retrieve them later for other subjects. This process will avoid duplication of effort and add value to the found objects.
Performance of digital contact tracing tools for COVID-19 response in Singapore

BACKGROUND: Effective contact tracing is labor- and time-intensive during the coronavirus disease 2019 (COVID-19) pandemic, but essential in the absence of effective treatment and vaccines Singapore launched the first Bluetooth-based contact tracing app- TraceTogether in March 2020 to augment its contact tracing capabilities OBJECTIVE: This study aims to compare the performance of the contact tracing app-TraceTogether with a wearable tag-based Real-Time Locating System and validate them against the Electronic Medical Records at the National Centre for Infectious Disease (NCID), the national referral center for COVID-19 screening METHODS: All patients and physicians in NCID's screening center were issued with RTLS tags for contact tracing Eighteen physicians deployed to NCID's screening center from May 10-19, 2020 activated the TraceTogether app on their smartphones during shifts and urged patients to whom they medically attended to use the app We compared patient contacts identified by TraceTogether and tag-based RTLS within NCID's vicinity during the physicians' 10-day posting We further validated both digital contact tracing tools by verifying the physician-patient contacts with the EMR of 156 patients who attended at NCID's screening center over a 24-hr time frame within the study period RESULTS: RTLS had a high sensitivity of 95 3% in detecting all patient contacts identified either by the system or TraceTogether while TraceTogether had an overall sensitivity of 6 5%, performing significantly better on Android phones (Android: 9 7%, iPhone: 2 7%, P< 001) When validated against the EMR, RTLS tags had a sensitivity of 96 9% and specificity of 83 1% while TraceTogether detected only two patient contacts with physicians who did not attend to them CONCLUSIONS: TraceTogether had a much lower sensitivity than tag-based RTLS in identifying patient contacts in a clinical setting Although tag-based RTLS performed well for contact tracing in the clinical setting, its implementation in the community would be more challenging than TraceTogether Given the uncertainty on the adoption and capabilities of contact tracing apps, policy makers should be cautioned against the over-reliance on such apps for contact tracing Nonetheless, leveraging on technology to augment conventional manual contact tracing was a necessary move for life to return to some normalcy over the long haul of COVID-19
Intelligent Multi-Drive Inspection Technology for Water Environment of Cable Pipe Gallery Based on Random Forest Algorithm

Abstract Image technology is widely used in intelligent applications. Based on the intelligent multi-drive patrol inspection of the water environment of cable duct corridors, the original technical methods and corresponding algorithms cannot be effectively solved. This paper mainly studies the intelligent multi-drive patrol inspection technology for the water environment of cable duct corridor based on random forest algorithm. In this paper, a feature that is insensitive to changes in illumination is designed and used for image change detection. At the same time, the Haar-like feature is improved according to this feature. The improved Haar-like feature and random forest calculation are used to detect the change area of the image. The experiment in this paper found that the cable fire of underground comprehensive pipe corridor burned more violently during 200 s-600 s. This stage only accounted for 22.3% of the burning time, but contributed 73.4% of the mass loss. The experimental results in this paper show that the intelligent multi-drive patrol inspection technology for the water environment of cable duct corridors based on the random forest algorithm is in line with the actual application standards and has important significance in practical applications.
Machine Learning Evaluation of Natural Language to Computational Thinking : On the possibilities of coding without syntax

Voice commands are used in today's society to offer services like putting events into a calendar, tell you about the weather and to control the lights at home. This project tries to extend the poss ...
An Analysis of Cultural Contents in English Middle School Textbooks Based on the 2015 Revised National Curriculum

The study aimed at exploring how culture education is implemented in middle school English classes by analyzing 15 textbooks focusing on culture type, culture background and culture lesson activities. The results show that first, the middle school textbooks include the three culture types at a balanced ratio, but the portion of material culture decreases and that of spiritual culture increases as the grade goes up. Second, the textbooks mostly deal with general culture and prefer to present multiple cultures rather than a single culture, which is either Korean or Englishspeaking culture. The study also finds that the textbooks present visual materials, including photos and pictures in each chapter, to develop students’ ability to understand culture but provide relatively few experiential activities and communication activities. At last, based on the study results, the guidelines for improvement for better culture education in middle school English classes and suggestions for future research are given.
LibGuides: Embedded Librarian: Home

Embedded Librarian - Library Services for Faculty and Staff - LibGuides at Florida State College at Jacksonville
LibGuides: Open Education Week 2020: What do we already have at OSU?

Open Education Week is an opportunity for students and faculty members to learn about the impact open education can have on teaching and learning.
ENHANCING DETECTION METHOD OF BREAST CANCER USING COIMBRA DATASET

Breast cancer is one of the most dangerous and second most common types of cancer in the world. Breast cancer-fighting with developed devices and medical therapies has become easier. To obtain the best result in breast cancer treatment, periodic checks should be carried out to follow the early diagnosis. Data Mining techniques are used to predict the success of treatment or diagnosis. In this study, the K-Nearest Neighbor (k-NN), Naive Bayes classifier algorithms of machine learning were used for early detection of breast cancer. From the UC Irvine Machine Learning Repository (UCI) library Coimbra Breast Cancer data set which consists of age, glucose, body mass index (BMI), resistin, insulin, adiponectin, homeostatic model assessment (HOMA), monocyte chemoattractant protein-1 (MCP1), and leptin attributes were used. K-NN model using Age, Resistin, Glucose,  and BMI give the highest results, where 90% of specificity 84% percent of sensitivity, and 87.5% accuracy is achieved. These findings provide promising evidence that models combining resistin, glucose, age, and BMI may be a powerful tool for breast cancer detection.
Método criptográﬁco para cifrar información usando los estados cuánticos de polarización de fotones individuales

Quantum information theory has improved communication systems at all levels, such as storage, processing, transmission, security, and responsiveness, but it is the quantum cryptography that has thefastestgrowthintermsofresearchresults.Quantumcryptographyisaphysicalmodelforthegeneration and distribution of cryptographic keys, which takes advantage of the properties of quantum mechanicssuchasoverlappingstates,polarizationofindividualphotons,entanglement,teleportation, anddensecoding,propertiesthatprovidecomputationaladvantagestotransmit,processandencode information at a higher speed and with better security. In addition applications can be developed for factoring numbers in polynomial time and build security systems based on quantum cryptography in order to maintain the conﬁdentiality, integrity and availability of information.In this context, this paper presents the theoretical concepts of quantum mechanics that allowed simulating a cryptographic method that uses the generation and distribution of quantum keys of the BB84 protocol, as a system secure keys exchange between a transmitter, Alice, and a receiver, Bob, who use the properties of quantum mechanics to distribute the key and not hard-to-solve mathematical problems like those used by cryptography built on a base of classical states. For this cryptographic method, the generation and distribution of the quantum key will be developed in two scenarios, in the ﬁrst one there will be no entity that tries to intestate the communication between the transmitter and the receiver, in the second scenario there will be an Eve spy in the quantum communication channel that will try to obtain the key that is being transmitted between Alice and Bob.The generation and distribution of the quantum key using the BB84 protocol with and without a spy will be displayed in a programming and simulation environment developed with the quantum language Qiskit implemented by IBM for its quantum computers, this language is described in the development of the cryptographic method and in Appendix A of this work. The operation of the BB84 protocol is explained step by step and, as from the error rate generated by the intruder in the communication channel, the transmitter and the receiver detect an intrusion into the system. In addition, the simulation of the model shows how to integrate quantum keys with ciphers such as Vernam, and you can obtain perfect security in the encoding and decoding of information
Control, self-control and motivation during foreign language classes at higher school

Discussed are traditional and alternative forms and types of control, used by teachers during foreign language classes. The author analyzes sources of literature on the issue, justifying importance of control that serves as the basis for development of self-control in students. The article pays special attention to presentation skills of shaping and testing, as forms of control. Such are acquired special significance, recently owing to transition to online education in higher educational establishments amid the coronavirus pandemic. The article proves importance of combining various forms of control to achieve more objective assessment of students’ works by the teacher and, as a result, shaping more sustainable motivation in students.
Compilation of a Social Network Lexicon for Determining the Profile of Authors

The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as sentiment analysis, detection of author profiles, identification of authors, opinions mining, plagiarism detection, calculation of similarity between texts and to develop robust systems that help to make decisions in related areas such as politics, education, economy, among others. This paper provides a lexical aid for the pre-processing of texts posted in social networks evolved for the subsequent languages: English, Spanish, Dutch and Italian.
Cyberattacks and their impact on online brands image

The development of cyber-economy is creating new threats for brands and their public relations, especially for companies from sectors of online services and IT. Outcomes of cyberattacks are the new types of PR challenges for companies that can negatively impact a brand’s image, reliance on products and services provided, and lead to general distrust towards whole branches of cyber-economy. Brands providing services related to online services or IT are especially vulnerable to the marketing consequences of cyberthreats. Online services are using personal data and financial assets of the users which may be intercepted, leaked out, stolen, misused, modified, replaced, and be used against the user’s will or interest. In this regard, brands must prepare defense strategies from cyberattacks together with plans for dealing with the negative outcomes of cyberattacks and their consequences for the brand. This paper will focus on the threats for brand image related to cybersecurity, potential impacts of cyberattacks on user’s perception of brand trust towards it, and how the companies may secure their customers and react to cyberattacks on them.
북한 고급중학교 영어 교과서 읽기 지문의 코퍼스 분석

This study examines the discourse features in reading passages of revised North Korean high school English textbooks (NKHSETs). For the purpose of this study, three NKHSETs are analyzed with Wordsmith 6.0 and Coh-Metrix Webtools to investigate the cohesiveness, readability of each reading passage and their grade level relationships. Vocabulary and sentence length show similar results in all three textbooks, and the values increase continuously by grade. However, the reading passages of NKHSETs that have an average of 10.41 words per sentence are found to be syntactically simple. Next, the texts are measured to have low cohesion and low grade level relationships. In addition, compared to South Korean High school English textbooks, the Flesch Kincaid Grade Level (FKGL) grades of NKHSET are lower. As expected, there is a lack of opportunity for learners in North Korea to experience linguistic clues that could help them understand texts through reading passages. For this reason, North Korean learners should be given not only grammatical forms but also authentic texts that take both cohesion and content into account. Based on these results, it would be helpful to supplement the discourse competence by developing the FKGL from 4th to 8th grade English textbooks for North Korean students.
LibGuides: Free Resources during the Coronavirus/COVID-19 Crisis: Home

A guide to selected information resources freely available during the coronavirus/COVID-19 crisis.
Research Guides: IDT 4170 and 7170: Mobile Learning: Home

Your CECH Library course guide for IDT 4170 and 7170. This guide links to course readings by module. For research support, see the Technology and Instructional Design research guide linked from the home section of this course guide.
Automatic Patch Generation System Using Deep Learning Techniques

Many software and applications are being developed on a daily basis; millions of lines of code are being written daily, thousands and thousands of bugs are fixed daily. Bugs are the common enemies for developers, the larger the code base of software the more troublesome they are. The possibility is very high that a bug. Bug fixing normally takes a lot of human resources and time to fix it. A developer is said to spend a substantial amount of time in fixing a bug. Though there are sites like Stack Overflow, a developers community which is like an encyclopaedia for developers, doesn’t help the developers in finding the right answers all the time, and mostly the amount of time a developer spends in finding a fix for the bugs are a lot. So a tool which can suggest a fix for the bugs in the program for the programmers can be of a great value. The easiest way is to manually record the bugs and fix used for it, by classifying them can make much sense but it is a tedious process to save the bug and the fix used and finding the right fix may take a solid amount of time So we are suggesting a model, BUGCHER which can learn the program transformations of code which are done by some programmer to fix an issue by producing a patch for a bug. The model takes the line which has the bug as input and produces a fix which may be able to fix the bug with some tweaks. And another use case of our idea is to make a automotive grading system for programming tasks. It is not a cake walk thing to grade or correct the mistakes in the programming tasks by single individual, the more the number of students the more the time it takes for the tutors to grade the assignments. Moreover the tutor can’t correct the mistakes and be there for all the students to help them find the right answer. Thus we are suggesting a way by which we can use our model to help the students. The approach is, at first the tutor feeds our model with possible mistakes the students may make in their assignments and the corresponding fix for it. These sets of mistakes (i.e. bugs) and their fixes can be retrieved from previous assignments and also from the tutor’s years of experience.
LibGuides: 3D Modeling & 3D Printing Resource Guide: Home

This guide will provide information and resources for 3d modeling and 3d printing within the library. It contains books, ebooks, online resources and information on these topics.