Reviewerly/exHarmony huggingface dataset:
STUDENTS’ MUTUAL DIAGNOSIS AS EFFECTIVE PRACTICE OF ACTIVE APPROACH IN PROCESS OF TEACHING FOREIGN LANGUAGE AT UNIVERSITY

In the last decade, the problems of pedagogic diagnostics, monitoring, self-monitoring and self-diagnosis have become the focus of academic research. Diagnostic competence is considered to be an important component of the modern professional standard for a pedagogue. The article is devoted to the currently central problem of modern pedagogy and methodology, i.e. the development of students’ diagnostic thinking. The article presents the analysis of the views of Russian and foreign researchers on the importance of pedagogic diagnostics in the educational process. It is underlined that the organisation of the cognitive activity by a pedagogue involves the transformation of the function of training and education into the function of educational assistance. The authors of the article expand on the concept of mutual diagnosis of students, characterizing its components and listing the skills formed during the educational process. The article summarizes the authors’ practical experience, proposes an algorithm for working with diagnostic maps in foreign language classes and analyses a set of measures to test the skills of oral and written foreign language speech. According to the researchers’ point of view, when forming diagnostic competence, a number of framework conditions must be observed and certain algorithms, followed. The authors of the article emphasise the special educational value of mutual diagnosis, which implies not only evaluating progress in performance, but also predicting cognitive problems. This technique can be applied to other disciplines of the educational programme.
A THEORITICAL ASPECT OF CLOUD COMPUTING SERVICES MODEL

Abstract— Cloud computing is internet based computing, where shared resources, Software and information are provided to computers and other devices on demand. Many peoples are used cloud technology in their daily lives. Using web based email services or preparing any document over the internet is a habitual example of the cloud technology. The most usual and widely adopted cloud computing services are infrastructure as services, platform as a services, and software as a services. Cloud computing is a popular option for people and businesses for a number of reason including cost saving, increased productivity, speed and efficiency, performance, and security. The main objectives of this paper is to grant a clear vision about the cloud services model and benefit of cloud model.
Ranking-Based Attacks to In-Region Location Verification Systems

In-region location verification (IRLV) aims at securely verifying that a wireless device is in a given region of interest (ROI), e.g., an authorized area where specific services can be provided. We consider an IRLV system that verifies the position through the estimated attenuations of the wireless channels connecting the device to the access points (APs) of the IRLV network. We propose techniques that can be used by an attacker located outside the ROI in order to break the IRLV system and let the network believe that he is inside the ROI. This is achieved either by transmitting from positions outside the ROI exhibiting wireless channel characteristics similar to inner positions (passive attack), or by directly inducing desired estimated channel attenuations at the APs, i.e., suitably transmitting signals with multiple antennas (active attacks). In both cases, we aim at minimizing the number of attack attempts before the first successful attack. To this end we consider ranking solutions based on machine learning (ML), where the attacker ranks random candidate attacks according to metrics related their success, and then performs attacks according to the ranking.
Educators’ and Learners’ Perceptions of Digital Tools in English Second Language Learning : A study of accessibility and perceptions of digital tools

The aim of this study is to examine the digital tools that are available for students and teachers to use in an English as a foreign language (EFL) classroom and their perceptions of the inclusion ...
Orientaciones metodológicas para favorecer el proceso de enseñanza-aprendizaje en el área de las Ciencias Sociales

The objective of this article is to collect relevant information from different authors about methodological guidelines that can be carried out in Social Sciences classes. The manuscript consists of a methodological construct with a qualitative approach, being a descriptive review. Thus, methodological guidelines are defined for the use made of teaching methods, strategies and styles, which at the same time are the tools and resources available to the teacher to build the teaching-learning process and evaluation.
An Emerging Strategy for Privacy Preserving Databases: Differential Privacy

Data De-identification and Differential Privacy are two possible approaches for providing data security and user privacy. Data de-identification is the process where the personal identifiable information of individuals is extracted to create anonymized databases. Data de-identification has been used for quite some time in industry to sanitize data before it is outsourced for data-mining purposes. Differential privacy attempts to protect sensitive data by adding an appropriate level of noise to the output of a query or to the primary database so that the presence or the absence of a single piece of information will not significantly alter the query output. Recent work in the literature has highlighted the risk of re-identification of information in a de-identified data set. In this paper, we provide a comprehensive comparison of these two privacy-preserving strategies. Our results show that the differentially private trained models produce highly accurate data, while preserving data privacy, making them a reliable alternative to the data de-identification models.
The Management Of The Education Operational Grant And Its Effects On School Development

The problem that has occurred in schools is in managing education operational aid funds in the current year is not in accordance with the recording of recapitulation of data for students who receive funds resulting in each area in use there is a difference or the remaining funds and less effective in managing expenditure per student by comparing school districts which is based on the previous year's budget that has already happened. This study aims to analyze the management of school fund management towards school development. The research method used is descriptive qualitative research by explaining the function of management. Data collection techniques in this study were interviews with the principal, deputy headmaster of the curriculum, the head of school administration, observation, and documents relating to the accountability of funds. The results of the study are grouping funds according to school programs, there is no waste of funds based on the percentage of funding funding per quarter. The Principal builds a system of monitoring the use of funds in an accountable and accurate manner in achieving the vision and mission of the school
Factors Promoting Usage Of Social Media:An Exploratory Study Of Secondary Schools Headteachers Of Malawi

In the modern world for heads of institutions to effectively and efficiently progress in their daily duties, they need to active in the way they use the social media as well well as being semiconscious in the way they use the social media. This descriptive research was conducted to explore factors and challenges promoting and affecting use of social media by Headteachers and their level of enjoyment in usage of social media in schools of Malawi. In this survey, qualitative and quantitative study methods were used to collect relevant and detailed data. Simple random sampling was used to select 61 headteachers. A self-constructed questionnaire, 5 point Likert scale and interview questions were used to study the attitude of headteachers towards usage of social media in secondary schools. Mean differences, standard deviations and t-test are used for data analysis. The results concluded that principals have positive attitude towards use of technology in schools. Findings revealed that; need to search for new information and resources, conforming to the global village, availability of ICT equipment and need for easy communication are some of the factors promoting principals need use of technology in schools; interrupted power supply/ failure, lack of expertise-knowledge and skills including lack of equipment are some of the challenges faced in secondary schools when integrating technology and that headteachers enjoy using technology in schools. 98.36% of principals enjoy using technology which is significantly very high.
Empowering a multilingual learning community in Indonesia: It’s non-profit, but sharing more benefits

The purpose of this qualitative study was to explore a multilingual learning community management facilitating language enthusiasts in enhancing their foreign languages skills in Jakarta, Indonesia. The method used was an ethnographic study. Data were collected through semi-structured in-depth interviews with the participants and the boards of the community. Also, field notes of what was observed were being written in which we involved as a participant of this community. Five themes that emerged in this research were (1) empowering social media as a communication tool and a language-sharing activity, (2) grouping participants based on language interest, (3) providing language coordinator for each language, (4) creating a multilingual environment in language learning, (5) fostering learner-centred in language learning. Conclusions and implications are discussed as well.
Effect of Emotional Nursing of Traditional Chinese Medicine on Improving the Treatment Effect and the Anxiety State and Sleep Quality of Patients with Orthopedic Surgery

Objective: To analyze and evaluate the effect of emotional nursing of traditional Chinese medicine on improving the treatment effect of orthopedic surgery patients and its effect on improving the anxiety state and sleep quality. Method: A total of 128 cases with orthopedic surgery from May 2017 to September 2018 in our hospital were selected. They were divided into the experimental group and the control group according to the stochastic indicator method, 64 cases in each group. The control group was given conventional nursing, and the experimental group was given traditional Chinese medicine emotional nursing on the basic of the control group. The clinical efficacy, anxiety and depression, and sleep quality of two groups were observed. Result: The total effective rate of the experimental group was significantly higher than that of the control group(P<0.05). The VAS, SAS and SDS of the experimental group were significantly lower than those of the control group, and the incidence of anxiety and depression was significantly lower than that of the control group(P<0.05). The sleep quality of the experimental group was significantly higher than that of the control group(P<0.05). Conclusion: Traditional Chinese medicine emotional nursing can significantly improve the clinical effect, and alleviate postoperative pain, and relieve anxiety or depression, and reduce the occurrence of anxiety and depression, and effectively improve the patients’ sleep quality.
초등예비교사의 영어 문장강세의 인지 정도

The purpose of this study is to investigate how well elementary school pre-service teachers recognize sentence stress in 48 intonational phrases of four discourses. A total of 66 juniors of a University of Education participated in this study and took a sentence stress marking test. The results revealed that the participants marked only 39.5% of sentence stress correctly. The error analysis of the wrong sentence stress showed that the main reason was not knowing the unmarked and contrastive sentence stress rules properly. Based on the findings of this study, the recognition of sentence stress should be covered in the English pronunciation course along with sentence stress production. (Gongju National University of Education)
12349| From Thanos to Arya Stark: Influence of Meme War in Indian Lok Sabha Election 2019

India recently celebrated its biggest festival of democracy in the name of Lok Sabha Election 2019. Throughout the election process, political parties and candidates shared content on different social media platforms. During the 2014Lok Sabha election, social media burst onto the scene, when Modi in particular dominated the conversation. But, this time around, all his rivals appear to be catching up. Whether it’s communicating through social media or doing political advertising, no party was lagged behind. As per the facts of Google and Facebook, altogether 27 crores were spent on social media advertisement. Thousands of fan pages and profiles were being made by the media consumers. Various types of content was floating all over the social media. One of them were memes, the newest genre of political discourse. During the whole electoral campaigning period, to the date of poll result, social media has been flooded with hilarious memes. From characters and situations from Avengers: Endgame and Game of Thrones, to hindi bollywood movies and actors- actresses, all were being used for creating memes in social media. An exploratory study using content analysis and survey technique as the research method is used to find out how much value users attach to memes and to determine different types of memes circulated during the election.  A total sample of 108 memes posted in the micro-blogging site twitter were retrieved by an advanced twitter search engine using the hashtag #Lok SabhaElections2019, given by the election commission of India itself.   A survey of 50 media consumers and 25 journalists was also conducted through structured questionnaire. The result led us to an important conclusion that there is no decisive evidence to suggest that memes directly influence the political choices of the voters.
HOW IMAGE DOWNSCALING AND JPEG COMPRESSION AFFECTS IMAGE CLASSIFICATION PERFORMANCE - An experimental study

the quality of an image plays a role in how well it can be correctly classified by an image classifying neural network. Artifacts such as blur and noise reduces classifilability. At the same tim ...
Star Interpolator – A Novel Visualization Paradigm for Graphical Interpolators

This paper presents a new visualization paradigm for graphicalinterpolation systems, known as Star Interpolation, that has beenspecifically created for sound design applications. Through thepresented investigation of previous visualizations, it becomes apparentthat the existing visuals in this class of system, generally relate to theinterpolation model that determines the weightings of the presets andnot the sonic output. The Star Interpolator looks to resolve thisdeficiency by providing visual cues that relate to the parameter space.Through comparative exploration it has been found this visualizationprovides a number of benefits over the previous systems. It is alsoshown that hybrid visualizations can be generated that combine thebenefits of the new visualization with the existing interpolationmodels. These can then be accessed by using an InteractiveVisualization (IV) approach. The results fromour exploration of thesevisualizations are encouraging and they appear to be advantageouswhen using the interpolators for sound designs tasks.
Research guides: VPMC01H3 Exploring Community Music: Home

A guide aggregating resources you will need to successfully complete your assignments for VPMC01H3
Hierarchy and interpretability in neural models of language processing

Artificial neural networks have become remarkably successful on many natural language processing tasks. In this dissertation, I explore if these successes make them useful as explanatory models of human language processing. I focus in particular on hierarchical compositionality and recurrent neural networks (RNNs), which share with the human processing system the property that they process language temporally and incrementally. I consider two questions: i) Are RNNs in fact capable of processing hierarchical compositional structures (behavioural similarity)? ii) How can we obtain insight in how they do so (model interpretability)? I address these questions in six chapters, divided into three parts. In part 1, I consider artificial languages, which provide a clean setup in which processing of structure can be studied in isolation. In this part, I also introduce diagnostic classification -- an interpretability technique that plays an important role in this dissertation -- and reflect upon what it means for a model to be able to process hierarchical compositionality. In part two, I consider language models trained on naturalistic data (English sentences). Such models have been shown to capture syntax-sensitive long-distance subject-verb relationships. I investigate how they do so. I present detailed analyses of their inner dynamics, using diagnostic classification, neuron ablation and generalised contextual decomposition. Lastly, in the final part of this dissertation, I consider if a model's solution can be changed through an adapted learning signal. I use several of the previously introduced techniques to analyse the impact of adding this learning signal. In summary, in this dissertation I present many different analyses concerning the abilities of RNNs to process hierarchical structure, as well as several techniques to open these blackbox models. Overall, the results sketch a positive picture of the usefulness of such models as explanatory models of processing languages with hierarchical compositional semantics.
Upphovsrätt till alster producerade av artificiell intelligens : Alster åstadkomna av AI-system i förhållande till upphovsrättens skyddsförutsättningar

The purpose of this thesis is to study whether works produced by artificial intelligence (AI) can receive copyright protection under the Swedish Copyright Act. AI can be described as computer softw ...
Investigation of Polynomial Trajectory Planner for Emergency Maneuver

Getting an autonomous car to work is a complex task, and it is developed in steps. Today there are many semi-autonomous Advanced Driver Aid Systems in cars such as Adaptive Cruise Control and Lane ...
LibGuides: Library Resources For Online Classes: Encyclopedias From Off-Campus

This guide will take students and faculty through all off-campus accessible Library resources.
From catfish to romance fraud, how to avoid getting caught in any online scam

Australian singer-songwriter Casey Donovan opened up again last night about the six years she thought she was involved in a relationship with a man she never met, someone called “Campbell”. The Australian Idol winner told the Andrew Denton: Interview show, on Channel 7, how she was a victim of catfishing – a cruel hoax in which someone creates a false identity to play on the romantic emotions of a person by pretending to be someone they’re not, either online or, in Donovan’s case, over the phone. “Hope kept me there,” she told the program. “To think that no-one could actually do that to another human being and to think of all the shit I’d already encountered in my life, to be at that point and to […] just have everything fall apart, it really hurt.” Donovan has spoken about her case before and there are many others who have been catfished – just do a quick search of YouTube. There are some similarities between catfishing and online romance fraud, something I’ve been involved in studying for more than ten years. So is there anything we can do to avoid being deceived by both?
Weighted-Sum Extended Bat Algorithm Based PD Controller Design for Wheeled Mobile Robot

PID controller of WMR needs to be tuned as precise as possible in order to develop a good performance of WMR that is able to move from initial position to a desired position with the fast time response and minimum steady state error. Weighted-sum Extended Bat Algorithm (WS-EBA) is a multi-objective optimization method based on Extended Bat Algorithm. The weighted optimization approach is used to search the optimum value of Proportional-Integral-Derivative (PID) gains controller of Wheeled Mobile Robot (WMR) by referring to x and y position. Several experiments are conducted to test the effect of variables or parameters control to the value of PID gains and performance of WMR. Those parameters are the type of PID controller, number of agents in WS-EBA and the optimization functions used in the system to search the optimum value of PID gains. Results obtained from this research study indicates that PD controller, 30 number of searching agents and ITAE as the objective function gives the most suitable controller for WMR with result for X position is 11.00, 20.08 s and 0.00% for rise time, settling time and overshoot respectively. Additionally, for Y position, the results are 12.11, 22.08 s and 0.00% of rise time, settling time and overshoot respectively. The comparison of WS-EBA with Weighted-sum Particle Swarm Optimization (WS-PSO) and Weighted-sum Bat Algorithm (WS-BA) is also experimented in this research. WS-EBA outperformed the rest with the best result performance of WMR, consistency of solution, fastest convergence rate and the most balance of exploration and exploitation phase.
Thirty-Six Views of Copyright Authorship, By Jackson Pollock

Humans have long used a variety of tools to convey artistic expression. Perhaps the most recent and mysterious artistic tools are machine learning or “artificially intelligent” (AI) computer systems that have captured popular attention. When taken in isolation, these devices seem to operate autonomously, giving the illusion that there is no author behind their output. In fact, there is a rich web of human effort and support behind any AI undertaking. When we pull aside the AI curtain, it becomes apparent that the attribution of authorship for AI-enabled creations is largely an exercise in tracing legal causation. Indeed, the concept of original expression, which is required for copyright authorship, implies a causal chain tracing the origin of fixed expression. In this article I show that concepts of causation, volition, and intention that are familiar from other areas of law also inform copyright authorship, and that the machine learning revolution affords us the opportunity to reveal previously hidden assumptions about copyright authorship. While I will begin by illustrating these concepts with examples from the graphic arts, the same principles are readily applied to other authorial works in other media. The result dispels not only the confusion surrounding mechanical creation, but a variety of long-standing problems in copyright authorship.
Ex-Post Performance of Initial Coin Offerings

This paperstudiesInitial Coin Offering (ICO) performance. It linksshort-term ICO performance tolong-term ICO performance. The final data sample contains 241 ICOsin a timeframe reaching fromApril 2013 to October 2019. The results demonstratethatICOunderpricing is 124 percent,and market-corrected ICO underpricing is 126 percent. This confirms previous research done on ICO underpricing. Furthermore, theraw average buy-and-hold returns are positive, where average market-corrected buy-and-hold returns are negative. These findingsare in line with traditional IPO literature,showing long-term underperformance and variables such as trading volume and issue sizemoderatelyjustify this.
UWM Libraries Research and Course Guides: Library Resources for Online Instruction: Find eBooks

This guide contains information and useful no-cost/low-cost content into your online course to supplement instruction.