Reviewerly/exHarmony huggingface dataset:
APPLYING COOPERATIVE LEARNING FOR SPEECH CLASS AT THE SECOND SEMESTER STUDENTS OF STMIK ATMA LUHUR PANGKALPINANG

”The problems of this study:“Is cooperative learning effectively used in teaching English for  Speech to the Second Semester Students of STMIK ATMAL UHUR PANGKALPINANG?” The method of research used in this study was the experimental research. The type of experimental method used was quasi-experimental . The result of the test was analyzed by using SPSS Program. Based on the result  of the data analysis, From the scores that were found, the result of statistical analysis between experimental and control group (t-obtained) should be higher than t-table (0.05) for two tailed. Furthermore the result of the students’ score in control and experimental group (value of t-obtained) was -10.325. Since the value of t-obtained was higher than t-table, so that the null hypothesis was rejected and alternative hypothesis was accepted. It can be stated that teaching English for Speech using dialoq with cooperative learning method is more effective than conventional way to the second semester students at STMIK ATMA LUHUR PANGKALPINANG.
Download BlueStacks 4 for Windows 10/8.1/7 (Official Latest)

Download BlueStacks Latest Version from here. Bluestacks is one of the most used Android emulators nowadays. In this post, you can directly download the ...
HUBUNGAN PEMAHAMAN MATERI TERHADAP KEMAMPUAN PRAKTIK MATAKULIAH KOROSI DAN TEKNIK PELAPISAN MAHASISWA PENDIDIKAN TEKNIK MESIN ANGKATAN 2016

This study aims to determine the relationship between material understanding of the practice ability of corrosion courses and coating techniques of 2016 Mechanical Engineering Education students. The population in this study were students in 2016 PTM FKIP Sriwijaya University with a total of 44 students. Data is collected by direct tests and observations. Ho in this research is: there is no relationship between material understanding of the practice ability of corrosion courses and coating techniques of mechanical engineering educationstudents of 2016.The results showed a correlation value of 0.635.With a statistical test at a significance level of 0.05, the results are Ho accepted, meaning that there is no relationship between material understanding of the ability of the practice of corrosion courses and the technique of coating engineering students of 2016 education.
Characteristics of pedagogical support for the mobilization of personal and professional qualities of cadets in the process of educational work

The article considers the problems of mobilizing the personal and professional qualities of students of the educational organization of the MIA of Russia on the basis of pedagogical support focused on targeted management trainees with the use of resource capacity that allows to design the desired outcome in the educational process of the University; examines pedagogical support contributing to the utilization of the educational organization of resources (personal, financial, informational, technological, institutional, subject-subject, etc.).
LibGuides: Library / Open Access Database Tools and Tips: Open Access Databases

Most databases have common elements which help streamline your research and save time. This How-To guide shares tools and tips for using the library databases at ACC.
AN ANALYSIS OF CONVERSATIONAL IMPLICATURE ON “JUMANJI: WELCOME TO THE JUNGLE” FILM

In this research, the researcher used the film as the object of the research entitled Jumanji: Welcome to the Jungle film and focused on understanding character utterances. The data were taken from the film script and scene in the form of utterances. Through the utterances, the participants tell their idea and opinion about something, but sometimes they do not say their goals directly; this is called implicature. Based on that, the researcher tries to understand the meaning of implicature utterances occurred in the film based on the implicature theory. This research was aimed at classifying the types of conversational implicature, which have been done by the five main characters in the film and then explaining the implied meaning. The researcher used Levinson's implicature theory and context by DeVito. The data were explained by showing the maxim flouted by the main characters, the context of the situation, the types of conversational implicature, and the implied meaning of the utterances. Dealing with the purposes of the research, it was found that the five main characters used implicature. Thirty-seven utterances contained conversational implicatures, which comprise thirty-four particularized conversational implicature, and three generalized conversational implicature. The five main characters used particularized conversational implicature more frequently than generalized conversational implicature. In addition, it was also found that the implied meaning behind main characters’ utterances mostly depend on the context of the conversation. The implied meaning found were informing, complaining, refusing, reminding, criticizing, assuring, affirming, apologizing, and entreating.
Remodeling of Applied Chemistry Specialty in Hunan University for New Engineering Education

It is necessary to develop new engineering-directed applied chemistry major on the basis of chemistry major and to remodel the current applied chemistry education according to the concept of emerging engineering.Herein, emendation in 2020 version of applied chemistry education plan and researches on teaching renovations for applied chemistry major in Hunan University is introduced.Through the adjustments of education goals, course systems, teaching contents and teaching models, we wish to highlight the central status of the educations that integrates morality and ability.In addition to the inheritance of the specialty in corrosion and protection, it is expected to further satisfy the need of graduates for the industries such as new materials, new energy, high-tech production, environmental protection, and new generation of information technique.At last, future trends and perspectives in emerging engineering applied chemistry is proposed.
Project Approach Tool

This research conducts the development of an online project management tool for the Saxion University of Applied Sciences to serve students and teachers better, innovatively and creatively, which, as a student, has always been my purpose. In this document, the reader shall find the detailed development process of the application. The primary programming language used for this development is JavaScript, and additional open-source frameworks as ‘React’, ‘Vue.js’ and ‘Angular’ have been taken into consideration. Based on the exploration, the ‘Angular’ library was most suitable for this project. The developed web tool can professionally manage any complex project and allows the users to personalise the tool for the project and their own needs. Users can choose methods they care to engage with, from pre-defined templates, and all the well-known research methods have been implemented, as well as pre-defined cards or any method that is used at the institution either by students or educators. The backend API stores the data and maintains communication with the webserver, to make the process smoother and more reliable. Throughout the development, the researcher has deepened his knowledge in web development and carried out a fully working application that will be used at the Saxion University of Applied Sciences
LibGuides: Boston Live Music Scene: Next Steps

This LibGuide will provide a list of local venues and music events. Many events will be free or low cost. More expensive events will be listed and identified as worth the splurge.
Training and Inference Methods for High-Coverage Neural Machine Translation

In this paper, we introduce a system built for the Duolingo Simultaneous Translation And Paraphrase for Language Education (STA-PLE) shared task at the 4th Workshop on Neural Generation and Translation (WNGT 2020).We participated in the English-to-Japanese track with a Transformer model pretrained on the JParaCrawl corpus and finetuned in two steps on the JESC corpus and then the (smaller) Duolingo training corpus.First, during training, we find it is essential to deliberately expose the model to higher-quality translations more often during training for optimal translation performance.For inference, encouraging a small amount of diversity with Diverse Beam Search to improve translation coverage yielded marginal improvement over regular Beam Search.Finally, using an auxiliary filtering model to filter out unlikely candidates from Beam Search improves performance further.We achieve a weighted F1 score of 27.56% on our own test set, outperforming the STAPLE AWS translations baseline score of 4.31%.
Investigating Hammock Networks on IBM Q

( https://www.ibm.com/quantum-computing/ ) represents a great opportunity offered by IBM to the quantum research community allowing running experiments, through a web interface, on several of their quantum systems on the cloud. One of the great technical challenges to making viable quantum computers is their qubit fidelity (quality/reliability) together with a plethora of error correction techniques—which, obviously, link to reliability theory. Hammock networks (a device-level alternative to gate-level reliability schemes) have shown outstanding reliability enhancements in the classical digital domain (e.g., about two-orders of magnitude better than gate-level von Neumann multiplexing). In spite of such performances, device-level reliability schemes in general, and hammock networks in particular, have never been assessed for quantum computations. A likely explanation is that device-level reliability seems much more akin to topological quantum computing concepts. That is why we have decided to test if and how much hammock networks might help in the quantum realm. Instead of theoretical analyses we have decided to perform simulations on (unfortunately still gate-level constrained), and we report our preliminary findings in this paper.
DESIGN AND DEVELOPMENT OF ANTICIPATIVEGESTURE RECOGNITION SYSTEM FOR REAL TIMEAPPLICATIONS

ABSTRACT: In this paper the design and development of tending gesture recognition system is presented. Byutilizing a motion capture device, the system recognizes movement performed by a human.ARM is used tocontrol the entire operation. Flex sensors are analog resistors that function as analog voltage dividers. At lastcompared to other system, it gives effective output. Hence the GPS module gives positioning and navigation tothe person and GSM is used to send the message. Therefore this project gives effective result.
Best Home Weather Stations of 2019: Complete Reviews With Comparisons

Many of us rely on our phones to give us the latest weather update. With the advancements in technology, it’s easier than ever to get a reading of the ...
LibGuides: Faculty Research Support: Open Access

This guide provides resources for assisting faculty with their research Open Access to scholarly communications
Differential privacy for edge computing-based smart grid operating over blockchain

Blockchain technology has attracted great attention from academia and industry for the past 10 years. One of the major reason behind this attention is the decentralised nature of blockchain, which enhances trust and the security of users’ data. Researchers are implementing the blockchain concept to almost every field of life, and blockchain has provided numerous benefits that were beyond imagination a decade ago. However, the computationally complex nature of blockchain restricts its usage in some applications in which devices do not have enough computational power, such as the Internet of Things (IoT) and smart grid. In such applications, edge computing came as a saviour and provided a platform for these applications to use the benefits from the modern technology of blockchain. Integrating blockchain with edge computing ensures enhancement in storage, access, and computational capabilities. Blockchain-based edge computing provides a large network in which IoT devices can use a secure decentralised ledger of blockchain without worrying about their computational complexity restrictions. One such application is modern smart grid advanced metering infrastructure (AMI) networks, in which every smart meter will act as blockchain node and will be connected with each other and with a main power grid. This integration will allow smart meters to make timely reports of their data to the smart grid utility, which can in turn use the data for various purposes without compromising the data security. Although, this decentralised integration solved many issues, the issue of privacy leakage is still present because of the transparent nature of blockchain. The data of smart meter users (such as instantaneous electricity usage) will be available on a decentralised distributed ledger, which causes serious concerns about users’ privacy. In this chapter, we propose a differentially private decentralised on-demand electricity reporting strategy in which private data of smart meter users will be protected using an advanced perturbation technique to overcome this issue. In this approach, every user will be able to share real-time data to a smart grid utility without risking the loss of privacy. Performance evaluation of our proposed strategy ensures that the data of smart meter users is successfully protected from all kinds of adversaries.
Investigation of diagnostic value of artificial intelligence systems in the diagnosis of breast cancer based on histopathological images using Meta-MUMS DTA tool

ORIGINAL ARTICLES Epidemiology Biostatistics and Public Health - 2020, Volume 17, Number 2Investigation of diagnostic value of artificial intelligence systems in the diagnosis of breast cancer based on histopathological images using Meta-MUMS DTA toolInvestigation of diagnostic value of artificialintelligence systems in the diagnosis of breastcancer based on histopathological imagesusing Meta-MUMS DTA toolABSTRACTBackground: Various artificial intelligence systems are available for diagnosing breast cancer based onhistopathological images. Assessing the performance of existing methodologies for breast cancer diagnosis is vital.Methods: The SCOPUS database has been searched for studies up to December 15, 2018. We extracted the data,including "true positive," "true negative," "false positive," and "false negative". The pooled sensitivity, pooled specificity,positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, area under the curve of summary receiveroperating characteristic curve were useful in assessing the diagnostic accuracy. Egger's test, Deeks' funnel plot, SVE(Smoothed Variance regression model based on Egger’s test), SVT (Smoothed Variance regression model based onThompson’s method), and trim and fill methodologies were essential tests for publication bias identification.Results: Three studies with eight approaches from thirty-seven articles were found eligible for further analysis. Asensitivity of 0.95, a specificity of 0.78, a PLR of 7525, an NLR of 0.06, a DOR of 88.15, and an AUC of 0.953showed high significant heterogeneity; however, the reason was not the threshold effect. The publication bias wasdetected by SVE, SVT, and trim and fill analysis.Conclusion: The artificial intelligent (AI) systems play a pivotal role in the diagnosis of breast cancer usinghistopathological cell images and are important decision-makers for pathologists. The analyses revealed that theoverall accuracy of AI systems is promising for breast cancer; however, the pooled specificity is lower than pooledsensitivity. Moreover, the approval of the results awaits conducting randomized clinical trials with sufficient data
Region-Selected Image Generation with Generative Adversarial Networks

Generative adversarial networks (GANs) are one of the most popular models capable of producing high-quality images. However, most of the works generate images from the vector of random values, without explicit control of desired output properties. We study the ways of introducing such control for the user-selected region of interest (RoI). First, we overview and analyze the existing works in areas of image completion (inpainting) and controllable generation. Second, we propose our model based on GANs, which united approaches from the two mentioned areas, for the controllable local content generation. Third, we evaluate the controllability of our model on three accessible datasets – Celeba, Cats, and Cars – and give numerical and visual results of our method.
Research on the Construction of the Dynamical Mechanism Model for the Military Civilian Integration Sharing of College Educational Resources of Hubei Province

In view of the problems existing in the sharing of college educational resources in the military civilian integration, this paper puts forward the requirements for the construction of college educational resources sharing information system in the military civilian integration. The system mainly includes four aspects: teacher information management, teaching point information management, open major and course information management and resource information management. It also analyzes the contents and functions of each management module, and the main functions and access rights of the main information management module and background management are analyzed and designed. The structure of the main modules in the database is designed. The application of Ajax technology in the combination query of teachers' information and the information access control based on users are discussed. Finally, through the operation of the system, the effectiveness of the system design is verified.
Early Detection of Breast Cancer in Women Using a Cost-effective Procedure

Breast cancer is considered to be the second most common type of cancer affecting the female population worldwide. It is estimated that more than 508 000 women died in 2011 as a result of breast cancer. The survival rates of breast cancer are lower in less developed countries mainly due to the absence of early detection methods resulting in a great percentage of women showing with late-stage disease. Early detection and medical diagnosis are known to be the most effective solution to minimize the risk of tumor development and progression.  There are different methods for Early detection of breast cancer which include screening tests and clinical breast exams performed by a well-trained health professional. Due to a lack of facilities and cost, many women in less developed countries may not be able to use the mentioned methods. The objective associated with this research was to achieve an affordable and cost-effective prediction model of breast cancer based on anthropometric data and parameters that can easily be collected in a routine and regular blood test.  For every one of the 166 individuals number of clinical features such as age, Body Mass Index (MBI), serum glucose levels, plasma levels of insulin, etc. were measured and observed. Various learning algorithms including Support Vector Machines (SVM), K-Nearest Neighbors (K-NN) and logistic regression(LR), etc. have been applied and compared with one another.   The result shows that SVM and K-NN models perform well and allow prediction of breast cancer in women with accuracy more than 78%, the sensitivity of 78% and 79%, and Specificity value is 77% and 79% respectively.
WEB 2.0 TOOL AND ITS AFFORDANCES TO PROMOTE ASSESSMENT FOR LEARNING IN ESL CLASSROOM

In millennial era, ICT is part of daily life of students. Teachers must integrate the availability of ICT in their teaching and learning processes. This study aims to analyze and show the affordances of web 2.0 tools that can be used for classroom practices. The study investigates Padlet as one of web 2.0 tools. The result shows that Padlet can be used to promote assessment for learning in ESL classroom. This study concludes with a discussion of the use of Padlet in classroom-based activities. Keywords: assessment, assessment for learning, ESL classroom, Padlet, web 2.0 tools.
The Design and Implementation of a Literature Reading-Assist System Based on Android

In order to encourage people to use the fragmented time to read Chinese and foreign literature classics, absorb the essence of masterpiece, share reading experience, and obtain effective information, we built an Android-based mobile reading-assist system, including reading module, sharing and interaction module, Q&A modules, user avatar module, etc. The system selects 15 classic Chinese and foreign literary classics, collects reading-assist resources, and achieves accurate recommendation of reading, providing readers with a platform that accumulates literary knowledge and cultivates cultural sentiments.
PIPING ―PERSONALIZED PAGERANK‖ ALGORITHM FROM THE ANALYTIC HIERARCHY PROCESS(AHP) Â A CASE STUDY

The core objective of any educational institution is to make a student more productive in terms of economical activity. This is simply a ripple effect towards the countryÂs economy. But, an extensive research work is done for ranking institutions by giving more importance for publications of research papers by the faculty members of the institutions. Everybody may not like to become a scientist. But on an average, all should survive economically. By applying one of the top 10 data mining algorithms, PageRank with the Analytic hierarchy process technique , we rank the institutions purely based on the output (alumni) instead of mixing input(students)-process(teaching-learning)-output model. Here, the candidates will arrive their own personalized ranking of institutions without depending on any national or international ranking agencies
Desperate Measures - Piano Quintet No. 4 in B minor

Author(s): Nilsson, Jeff | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Preparation of Sentiment tagged Parallel Corpus and Testing Its Effect on Machine Translation

In the current work, we exploreMahata, Kumar the enrichment in the machine translation output when the training parallel corpus is augmented with the introduction of sentiment analysis. The paper discusses the preparation of the same sentimentChandra, Amrita tagged English-Bengali parallel corpus. The preparation of raw parallel corpus, sentiment analysis of the sentences, and the training of a Character-Based Neural Machine Translation model using the same hasDas, Dipankar been discussed extensively in this paper. The output of the translation model has been compared withBandyopadhyay, Sivaji a baseline translation model using automated metrics such as BLEU and TER as well as manually.
Design of an Ultra-Tightly Coupled Integrated INS/GPS Navigation System Based on UPF

For the strong nonlinearity of ultra-tightly coupled INS/GPS navigation system, this paper present to use the unscented particle filter (UPF) for integration system. The nonlinear measurement equation can be constructed by including the second-order term in the Taylor series of the pseudorange measurements. At the same time, the UPF algorithm is simplified, which greatly reduces the computational complexity caused by a large number of UT transformations. The experimental results indicated that the UPF-based ultra-tight INS/GPS integration system can effectively overcome the nonlinear error, and has higher signal tracking performance and navigation performance in highly dynamic and strong interference environments.