Reviewerly/exHarmony huggingface dataset:
Show and Tell Technique in Teaching Speaking Skills at SMAN 2 Palopo

This research focused on using Show and Tell techniques to develop students’ speaking skills at Eleventh class of SMA Negeri 2 Palopo. The researcher used pre-experimental method. The population of this research is 157 students of XI class. The research sample is chosen purposively and got the XI IPA1 consisting of 35 students. In collecting the data, the researcher used speaking observations, divided into pre-survey and post-survey. After giving pre-survey and post-survey, this research provides pre-survey and post-survey to students. Data were analyzed using SPSS program version 20. The results of the study indicated that the use of Show and Tell Technique is effective for improving students’ speaking skills. It can be seen calculation results that the scores of students in the control class. Based on the analysis of the data it can be concluded that the teaching skills of speaking using Show and Tell Techniques at Eleventh class of SMA Negeri 2 Palopo. The implementation of this research for those who are interested in conducting research on problem statements, it is recommended to apply it to students who have basic speaking language skills and researchers hope that the results of this study can be beneficial to readers.
Toward Probabilistic Checking against Non-Signaling Strategies with Constant Locality.

Non-signaling strategies are a generalization of quantum strategies that have been studied in physics over the past three decades. Recently, they have found applications in theoretical computer science, including to proving inapproximability results for linear programming and to constructing protocols for delegating computation. A central tool for these applications is probabilistically checkable proof (PCPs) systems that are sound against non-signaling strategies. In this paper we show, assuming a certain geometrical hypothesis about noise robustness of non-signaling proofs (or, equivalently, about robustness to noise of solutions to the Sherali-Adams linear program), that a slight variant of the parallel repetition of the exponential-length constant-query PCP construction due to Arora et al. (JACM 1998) is sound against non-signaling strategies with constant locality. Our proof relies on the analysis of the linearity test and agreement test (also known as the direct product test) in the non-signaling setting.
한국노인의 자원봉사활동 및 근로활동 참여 결정요인

Based on successful aging paradigm, participating in social activities for the elderly is becoming important and that depends on available their resources. It is known that selection of a type of social activity appears to depend on the resource of the elderly, so it is necessary to identify under what conditions the elderly will be involved in volunteering or working. This study aimed to identify what factors make the elderly to participate in activities. We used the data from the 12th Korean Welfare Panal Study Wave, which were analyzed by binomial logistic regressions. As the findings, the factors that cause the elderly to participate in volunteering rather than working were education level, age, social relationship satisfaction and gender, among which education level has the greatest impact. This work contributes to prove that the elderly with human and social resources are more likely to participate in volunteering. Based on these findings, we discussed how to encourage elderly to participate in social activities. It needs to the promotion and the information for vulnerable older people to volunteering, especially elderly males. And public and private institutions need to provide educational services to link between network and volunteering for the elderly. In addition, the government should provide support for young-old and old-old adults to be connected to volunteering after retirement.
Multi-Stakeholder Consent Management in Genetic Testing: A Blockchain-Based Approach

Notwithstanding the personal and societal benefits of genetic testing, the sharing of genetic such information is always also accompanied by privacy risks. Owing to the kinship property of genetic information, the decision of sharing one’s genetic information with a third party has the potential to not only infringe the privacy of those who actively decide to share their data, but also of their relatives. Within this research-in-progress we propose a Blockchain-based system for the management of consents in situations where data is associated with multiple stakeholders (e.g., several blood relatives). To this end, we present a structuring of the problem under considerations and describe first meta-requirements as well as design principles for such multi-stakeholder consent management systems.
Visual identity – UIC Communications

English version | Version francaise Our visual identity ensures that UIC's diverse internal and external audiences can immediately recognise our organisation in all our forms of communication. It…
Rethinking Paleolithic Visual Culture throughout immersive technology: The site "Cueva de las Manos" as a virtual "Denkraum" (Patagonia, Argentina)

The discussion about the concepts of cave art and painting settled the basis of the project in the archaeological site of Cueva de las Manos in Argentina. The team uses an immersive technology of VR and the 360° video as a methodology to explore visuality understood as a corporal act. Our hypothesis maintains that the concept of “aesthetic experience” is not exclusively artistic, in its modern sense. The immersive medium allows users to experience the Cave, as a Virtual Denkraum, the spatial and cinematic sensoriality of the image, that poses open questions, instead of the need to decode meaning in the pictures.
The fidelity of compressed and interpolated medical images

Due to the amount of medical image data being produced and transferred over networks, employing lossy compression has been accepted by worldwide regulatory bodies. As expected, increasing the degree of compression leads to decreasing image fidelity. The extent of allowable irreversible compression is dependent on the imaging modality and the nature of the image pathology as well as anatomy. Interpolation, which often causes image distortion, has been extensively used to rescale images during radiological diagnosis. This work attempts to assess the quality of medical images after the application of lossy compression followed by rescaling. This research proposes a fullreference objective measure of quality for medical images that considers their deterministic and statistical properties. Statistical features are acquired from the frequency domain of the signal and are combined with elements of the structural similarity index (SSIM). The aim is to construct a model that is specialized for medical images and that could serve as a predictor of quality.
Comparative Study And Performance Analysis Of Various Data Security And Cloud Storage Models

Cloud Storage and Cloud Security are the major challenges in the field of Cloud Computing. This papergives an overview of Cloud Computing, part of the trust, types of trust and parameters of trust. This paperpresents a literature survey showing the Cloud Security concerning Privacy, Integrity, Confidentiality andalso presents a comparison table of different types of trust models in terms of techniques and componentsof models presented the security in cloud computing. This paper also indicates the classification accuracyof SVM as well as Naive Bayes of the KDD dataset
Spectral Super Resolution with DCT Decomposition and Deep Residual Learning

In this paper, we aim to reconstruct a hyperspectral image of multiple bands from an RGB image. This process of reconstruction of the hyperspectral image from RGB images is called Spectral Super Resolution (SSR). Using spectral super resolution, we can adapt the Dynamic Data Driven Applications System paradigm by using RGB cameras in surveillance instead of using hyperspectral cameras. This process is challenging because hyperspectral images have different information available in each band. There have been few works recently in SSR, most of them use a Convolutional Neural Network (CNN) to learn hyperspectral images from RGB image using a pixel wise loss function. The pixel wise loss function smooths the image which leads to loss of information in spectral bands. To overcome this in our work, we initially divide spectral bands into four subgroups and learn the hyperspectral image by learning the Discrete Coefficient Transform (DCT) coefficients of the hyperspectral image from RGB image using a residual dense network. Experiment results show our work using DCT based learning performs better than the state of the art HSCNN+ work [12].
BIG DATA AND CLUSTERING QUALITY INDEX COMPUTATION

Clustering analysis is unsupervised machine learning technique that partitions a dataset multiple groups or clusters so that instances in the cluster have high similarity but not with instances of other clusters. There exists number of methods to accomplish the process of clustering analysis. The quality of the results generated by a clustering method is measured by cluster evaluation. Some clustering methods demand the number of clusters into which data is going to be partitioned. Cluster evaluation determines the number of clusters to be used as an input to the clustering methods. A comparison between the result of the different clustering methods can also be performed using cluster evaluation. The traditional cluster evaluation algorithms are not applicable for bigdata due to a size limitation and run time cost. This work introduces a method for evaluating big size dataset. This paper presents a technique that assists the evaluation process of large amount of data. It proposes a sampling approach using bigdata analysis to reduce the size of the dataset so that the traditional clustering validity indices are able to process it. Silhouette validity index is selected and adopted test the sampling result. The sampling technique positions instances in the space which is split into grids of same size. It iterates through each grid to verify if all the instances with in the grid belongs to the same grid to perform the reduction. The reduction is carried out only on those grid containing instances from the same cluster providing associated weight to the instances to the grid. The evaluation of the implementation is made in both manually clustered and automatically clustered datasets. In the manually clustered data set, three data sets containing 18000, 6500 and 3000 instances with 5, 8 and 31 number of cluster respectively. Single dataset is experimented in the second test case(the auto- clusterd dataset) which in has 8000 instances. To observe the performance of this work, a comparison between a dataset and the average of three different percentage of random sample are done. The silhouette index on the clustering results original dataset and spark sampled dataset are very close, with slightly higher index of the original dataset. Generally, silhouette index of smart sampled and original data set on all the datasets of the are very approximate which indicates the smart sampling can be considered as a solution for the cluster evaluation of huge size dataset. The performance of the average random sample shows an equal or slightly higher index than both the smart the sampled and original dataset. However, Its important to consider that finding the average silhouette index on random sample requires the number executions for a single dataset as results vary on each run. On the other hand, the smart sampling is executed one time as long as the generated which is a plus for the smart sampling.
Teacher Training at Kazan Federal University:

In 2020, Kazan University received a notable token of recognition for its work in teacher education in the past five years. According to the Times Higher Education, our university is now among the top one hundred in the Education subject rankings. Currently, this is the best position among the universities of Russia, CIS, and Eastern Europe. This validates the strategy in teacher education that the university has been implementing over the past years. 2020 is also a special year because it marks ten years of our federal status – the status granted by an executive order of the President of Russia. Currently, KFU is among the ten largest Russian universities; we have about 50,000 students in the majority of the existing higher education specializations. The University collaborates in many scientific and educational programs, including a federal project for boosting the international competitiveness of Russian universities.
Current status of reading skills of kindergarteners at age 5-6 in pre-school

Reading and writing skills are extremely important factors in improving the ability of each student at schools. In preschools, the preparation for reading of kindergarteners at 5-6 years old has been being taken care by training children in basic reading skills including language, image processing skills, auditory skills, and memory... This article focuses on analyzing the current status of reading skills of children aged 5-6 in preschools from 5 provinces: Cao Bang, Bac Kan, Thai Nguyen, Quang Ninh and Bac Giang; as well as analyzing factors affecting reading preparation for preschool children aged 5-6 in these areas. Survey results show that the rate of children's reading ability is at most normal level with many limitations in their reading skills. The cause may come from many influencing factors with different levels of impact on the reading ability of preschool students.
LEARNERS’ PERCEPTION AND MOTIVATION IN JOINING SPEAKING AND SHARING KNOWLEDGE PROGRAMS AT EEC (EASY ENGLISH CLUB) SEMARANG

This study aims to know learners? perception and motivation in joining speaking and sharing knowledge programs at EEC Semarang. The objectvies of study were (1) To understand learners? perception in joining Speaking and Sharing Knowledge Programs at EEC (Easy English Club) Semarang. (2) To know the learners? motivations in joining Speaking and Sharing Knowledge Programs at EEC (Easy English Club) Semarang.The data is collected through questionnaire and interview. There are 16 learners of EEC Semarang participated in this research. This research investigatesthe learners' perception and motivation which come from the learners' experiences, qualitative approach is considered as an appropriate approach and descriptive as type of research.This writer has found that learners? have a positive perception of English club based the influence of EEC programs to improve their English language skills, the most significant component of speaking to start learning English, and learners? perception of the disadvantage of joining English club. Then, learners have two motivation in learning English those are extrinsic and intrinsic motivation. Some learners who have extrinsic motivation stated that finding positive atmosphere and communal interest in English, expecting appreciation from others, and learning English to fulfill obligations. Some learners who have intrinsic motivation stated that learning English for desiring to succeed in the future, increasing learners experiences, fellowship and knowledge, and improving fluency in speaking.Key Words: English Club, English Language Skills, Motivation, Perception
Integrating Multimedia as Teaching Aid in English Language Teaching at Global Islamic Boarding School

Using media is one of the efforts to improve the students’ achievement. One of the media in the teaching which has become a common thing these days is multimedia technology. Global Islamic Boarding School is one of a few schools that emphasize the integration of multimedia as teaching aid. The writer notices that this multimedia integration seems like having a positive impact toward the improvement of students’ learning outcomes. Therefore, the writer focused in describing how do two English teachers integrating multimedia as teaching aid and analyzing students’ responses toward the integration of multimedia.This research was conducted by a descriptive method. The source of data was two English teachers, 17 students from VII Girls 1 and 18 students from X Girls 3. The data were collected with (1) observation and (2) interview. The process of integration were analyzed based on three teaching phases defined by Jackson (1966) which are pre-active phase, inter-active phase and post-active phase.The result of the study showed that both teachers integrated the multimedia as teaching aid in English language teaching by doing some tasks through pre-active phase, inter-active phase and post-active phase. Beside of that, the writer also found that students’ responses toward the integration of multimedia as teaching aid in English language teaching were various, yet, it can be concluded that both classes showed positive attitude in cognitive, affective and conative response.
Resampling Methods on Unbalanced and High Dimensional Data : An Application on Software Defect Prediction

Machine learning has lately been gaining a lot of interest and increased applicability where the core algorithms for learning has been provided to the end-user through interfaces. In application ar ...
Using Natural Language Processing to Translate Plain Text into Pythonic Syntax in Kannada

Digital evolution has made various services and products available at everyone’s fingertips and made human lives easier. It has become necessary for individuals with a passion to be a part of this digital evolution to learn how to write code, which is the basic literacy of the digital age. But writing code has become a privilege for students with prior knowledge of English. This project aims to remove this language barrier by teaching students to solve coding problems in their native language and to convert their logic to code. The paper presents a platform where students provide their logic to coding problems in their native language in plain text, which is then converted to python code using natural language processing techniques. The current platform can successfully identify and convert conditional statements in the Kannada language into python code. The next effort will be aimed at extending this to recognize loop statements and create a framework for a wide variety of languages.
A Multilayer Motion Direction Based Model for Tracking Vehicles at Intersections

Visual vehicle tracking is an important topic in intelligent transportation systems. Intersections are challenging locations for visual systems to track vehicles which are simultaneously moving in different directions. In addition, normal traffic flow may change at intersections due to accidents. Congestion, occlusion and undetermined motion flows are the nominated challenging issues of vehicle tracking at intersections. In this paper, a method for tracking multiple vehicles is proposed considering the vehicle motion directions to overcome undetermined motion flows. For this purpose, a multilayer model is presented, which assigns each motion flows to distinct layers. Moreover, we introduce different neighborhoods for various layers considering the regular motion flows in a layer. Hence, vehicles entering from the same side of intersection with the same motion direction are assigned to the same layer. Then the tracking is performed on different layers separately. In special cases such as vehicles crossing each other, misdetections or occlusion, the proposed tracking method can predict the vehicles tracks by using the stored tracking history and considering neighborhoods in that layer. Experimental results show consistency between proposed tracking method results and ground truth, also outperformance of other tracking methods in tracking vehicles crossing the intersection.
Awareness of managers on implementation of the regulation on assessing elementary school students under circular 22

The paper shows the results of surveying managers on the implementation of the regulations on assessing primary school students according to Circular 22. The surveyed sample consists of 452 managers of 67 primary schools in 6 provinces. The survey results shows that the majority of managers have good understanding of the purpose, principles, scientific basis, ways of assessing primary students according to this circular and to competence based approach. At the same time, they also have positive attitudes and beliefs about changes in teachers. They self-assessed that there were relatively appropriate instructions and monitoring methods in implementing the regulations for assessing elementary school students. However, there was still a considerable number of managers who misunderstood and faced of many difficulties. It is a necessary and useful material for educators to re-consider the advantages and disadvantages in the process of realizing the evaluation of elementary school students so that they will have remedial strategies and solutions in the coming time
On Two Problems About Isogenies of Elliptic Curves Over Finite Fields

Isogenies occur throughout the theory of elliptic curves. Recently, the cryptographic protocols based on isogenies are considered as candidates of quantum-resistant cryptographic protocols. Given two elliptic curves $E_1, E_2$ defined over a finite field $k$ with the same trace, there is a nonconstant isogeny $\beta$ from $E_2$ to $E_1$ defined over $k$. This study gives out the index of $\rm{Hom}_{\it k}(\it E_{\rm 1},E_{\rm 2})\beta$ as a left ideal in $\rm{End}_{\it k}(\it E_{\rm 2})$ and figures out the correspondence between isogenies and kernel ideals. In addition, some results about the non-trivial minimal degree of isogenies between the two elliptic curves are also provided.
SQL Server Rises to the Clouds

In late 2005, Microsoft as a company was humming (I’m a little biased here) in the enterprise space and so was the SQL Server product. In October of 2005, we were close to releasing SQL Server 2005 (code name Yukon) which was unfortunately 5 years in the making (that is a story for another book; just ask Paul Randal). I was in Microsoft Support in those days, and despite the delay in getting SQL Server 2005 to market, I was very proud of the release. Windows, Windows Server, Office, and Xbox 360 were all popular products from Microsoft.
LibGuides: Streaming Video Collections: Streaming Videos and Blackboard Learn

Through its streaming video collections, the library provides access to thousands of videos online. This guide offers instructions on how to provide access to these collections for teaching purposes.