Reviewerly/exHarmony huggingface dataset:
Students’ attitude towards the use of twitter as a learning English aid

Recently, many students have used Twitter. It is one of the Information and Communication Technology applications that can be used as a means of communication from which students are able to develop their English proficiency. This study aims to reveal the students’ attitude towards the use of Twitter as a means of learning English.This research used descriptive method with questionnaire as data collection technique. Respondents were 100 students who took Reading for Information class at English Education Study Program, University of Muhammadiyah Malang, Indonesia. The questionnaire consisted of 21 statements with five choices in each, and it was designed to know the student's attitude towardsthe use of Twitter.The results showed that students had a positive attitude towards the use of Twitter as a meansof learning English. The students' attitudes could be broken down into three points that needed attention: first, students had a positive attitude towards Twitter as media to communicate in English.Second, students had a positive attitude towards Twitter as a means of improving English vocabulary. And finally, students had a positive attitude towards Twitter as a tool to improve their skills of translating texts in English into Indonesian. This was related to twitter as part of Information and Communication Technology that helped students to access information regarding English learning materials
Image Retrieval using Visual Phrases

Keypoint based descriptors are widely used for various computer vision applications.During this process, keypoints are initially detected from the given images which are later represented by some robust and distinctive descriptors like scale-invariant feature transform (SIFT).Keypoint based imageto-image matching has gained significant accuracy for image retrieval type of applications like image copy detection, similar image retrieval and near duplicate detection.Local keypoint descriptors are quantized into visual words to reduce the feature space which makes image-to-image matching possible for large scale applications.Bag of visual word quantization makes it efficient at the cost of accuracy.In this paper, the bag of visual word model is extended to detect frequent pair of visual words which is known as frequent item-set in text processing, also called visual phrases.Visual phrases increase the accuracy of image retrieval without increasing the vocabulary size.Experiments are carried out on benchmark datasets that depict the effectiveness of proposed scheme.
How Do New School Standards Affect the Content of a Textbook?

This article discusses issues related to the purpose and functions of the educational standard. It is noted that the planned results of mastering the basic educational program formulated in the standards of the second generation are too general, vague and ambiguous. As a result of analyzing the content of the new school standard, a number of important conclusions were made to substantiate the new requirements for educational literature: FSES introduced the new meaning of the concept of “educational results “; The new FSES does not set up a ready-made version of the content of education for schools, but puts forward only a number of requirements for the content of educational programs; the standard is built according to the scheme “from the planned educational results to the content of training and types of educational activities that are necessary for its mastering”; the methodological basis of the new educational standard is a system-activity approach; determining the content of the textbook, the author must take into account the possibilities of the new information and educational environment in which the educational process on the subject will be carried out; the FSES opens up broad opportunities for new organizational forms of education.
PEDAGOGICAL BASES OF FORMATION OF ECONOMIC CULTURE

A modern type of economic culture or a culture of economic participation presupposes the existence of an “economic man” with his businesslikeness, reasonable perception of innovations and self-discipline, with a developed network of specialized economic institutions. The economic culture of an individual is a reflection of the economic culture of a society. In the process of pedagogical influence it is necessary to take into account the interrelation of the public and the individual in the development of economic consciousness and the formation of the economic behavior of the individual, taking into account the components and criteria of the economic culture of the individual.
Influence of family factors on development of juvenile delinquency behavior

In the master's thesis, I investigated the family factors that influence the development of delinquent behavior in adolescents. Based on theoretical and empirical findings, the aim of the study was to understand the significance and the influence of the aforementioned family factors on the phenomenon of delinquent behavior, thus improving my own skills for identifying possible prior emotional and behavioral problems. These can be the result of the inadequate parental educational strategies, inappropriate interpersonal relationships in the family, a specific strength and style of attachment between child and parent, inadequate or inappropriate communication between family members, social learning through the observation and imitation of the parents, the influence of the family structure and the role one has in their own family. It is important to emphasize that delinquent behavior is not brought about by only one factor, but it is always a combination of various factors that do not derive solely from family dynamics. According to the principles of qualitative analysis, I processed data derived from semi-structured interviews with adolescents who, due to various forms of delinquent behavior, got an educational measure of moving to a residential care institution or an educational measure of moving to a juvenile correctional institution. I was wondering whether adolescents themselves understand their family dynamics and their parent's upbringing as potential triggers of their own delinquent behavior. The majority of the interviewed adolescents rank family causes for delinquent behavior on the top of the scale of relevance. However, they recognize factors such as peer influence and personal characteristics equally as important as family factors. The results show that adolescents themselves see the cause of their delinquent behavior in their own family dynamics. Adolescents themselves are the best narrators of their own lives so their opinion and views need to be taken into account during the problem-solving process.
Relevance in the eye of the beholder

This thesis examines a method for how humans can assess quality of classifications by image based neural network. Through examples visualisations of layerwise relevance propagation (Bach et al. 2015) test participants are tasked with learning to differentiate correctly and incorrectly classified images. To test their learning, they are tasked with evaluating visualisations based on whether they believe the underlying classification to be correct or not. The test was conducted for 20 test participants who after 10 learning examples each were tasked with evaluating the same 72 visualisations. Three different types of visualisations are developed according to different mathematical principles. The results show that the test was often confusing for the test participants indicating both that better preparation and training of test participants might be appropriate but also that the subject is inaccessible to many. There are also small beneficial effects which are expected to increase with better training and preparation. (Less)
On the classical complexity of quantum interference of indistinguishable bosons.

The classical complexity of sampling from the probability distribution of quantum interference of $N$ indistinguishable single bosons on unitary network with $M$ input and output ports is studied with the focus on how boson density $\rho =\frac{N}{M}$ for $M\ge N$ affects the number of computations required to produce a single sample. First, Glynn's formula is modified for computation of probabilities of output configurations $\mathbf{m}=(m_1,\ldots,m_n,0,\ldots,0)\;$ with $n 0$ with probability $1-\epsilon$ the number of computations $\mathcal{C}_\mathbf{m}$ scales at least as $O\bigl( N 2^{\frac{1-\delta}{1+\rho}N}\bigr)$ and at most as $O\Bigl(N\left(1+r\right)^{\frac{N}{r}}\Bigr)$, where $\delta = \sqrt{\frac{4(1+\rho)}{N}\ln\left(\frac{2}{\epsilon}\right)}\;$ and $r = \mathrm{max}\left(1,\frac{1+\rho}{1+\delta}\right)$. These bounds apply also to the leading order of the number of classical computations in the sampling algorithm of P. Clifford and R.Clifford, which is based on Glynn's formula and applies uniformly over the output configurations.
Demystifying Text Generation approaches

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Occluded Face Recognition by Identity-Preserving Inpainting.

Occluded face recognition, which has an attractive application in the visual analysis field, is challenged by the missing cues due to heavy occlusions. Recently, several face inpainting methods based on generative adversarial networks (GANs) fill in the occluded parts by generating images fitting the real image distributions. They can lead to a visually natural result and satisfy human perception. However, these methods fail to capture the identity attributes, thus the inpainted faces may be recognized at a low accuracy by machine. To enable the convergence of human perception and machine perception, this paper proposes an Identity Preserving Generative Adversary Networks (IP-GANs) to jointly inpaint and recognize occluded faces. The IP-GANs consists of an inpainting network for regressing missing facial parts, a global-local discriminative network for guiding the inpainted face to the real conditional distribution, a parsing network for enhancing structure consistence and an identity network for recovering missing identity cues. Especially, the novel identity network suppresses the identity diffusion by constraining the feature consistence from the early subnetwork of a well-trained face recognition network between the inpainted face and its corresponding ground-true. In this way, it regularizes the inpaintor, enforcing the generated faces to preserve identity attributes. Experimental results prove the proposed IP-GANs capable of dealing with varieties of occlusions and producing photorealistic and identity-preserving results, promoting occluded face recognition performance.
Tracking object using a TOF camera using the intensity and depth chanel

Background subtraction and movement segmentation algorithms can be improved by merging the depth and color entries. In this paper, we propose a background subtraction method based on the Gaussian mixture models using color and depth information. To combine color and distance information, we used a probabilistic model based on the histogram of the area where movement was detected. In particular, we focused on solving color camouflage problem and depth denoising. For evaluating our method, we built a new dataset containing normal, color camouflage and depth camouflage situations. The dataset files consist of color, depth and ground truth image sequences. The proposed method shows greater resistance to changes in lighting, shadows, reflections and camouflage. Thus, this technique will help to robustly detect regions of interest as pre-processing in high-level image processing stages.
Using logical form encodings for unsupervised linguistic transformation: Theory and applications.

Semantic representations are central in many NLP tasks that require human-interpretable data. The conjunctivist framework - primarily developed by Pietroski (2005, 2018) - obtains expressive representations with only a few basic semantic types and relations systematically linked to syntactic positions. While representational simplicity is crucial for computational applications, such findings have not yet had major influence on NLP. We present the first generic semantic representation format for NLP directly based on these insights. We name the format EAT due to its basis in the Event-, Agent-, and Theme arguments in Neo-Davidsonian logical forms. It builds on the idea that similar tripartite argument relations are ubiquitous across categories, and can be constructed from grammatical structure without additional lexical information. We present a detailed exposition of EAT and how it relates to other prevalent formats used in prior work, such as Abstract Meaning Representation (AMR) and Minimal Recursion Semantics (MRS). EAT stands out in two respects: simplicity and versatility. Uniquely, EAT discards semantic metapredicates, and instead represents semantic roles entirely via positional encoding. This is made possible by limiting the number of roles to only three; a major decrease from the many dozens recognized in e.g. AMR and MRS. EAT's simplicity makes it exceptionally versatile in application. First, we show that drastically reducing semantic roles based on EAT benefits text generation from MRS in the test settings of Hajdik et al. (2019). Second, we implement the derivation of EAT from a syntactic parse, and apply this for parallel corpus generation between grammatical classes. Third, we train an encoder-decoder LSTM network to map EAT to English. Finally, we use both the encoder-decoder network and a rule-based alternative to conduct grammatical transformation from EAT-input.
An Electronic Glove-A Boon to the Deaf and Dumb

Disabled people find it very difficult to communicate with normal people as these people are trained to communicate using sign language which most of the normal people can't understand. This project will help the disabled to communicate smoothly and convey the messages regarding their basic needs in the most efficient manner. The paper proposes an electronic glove which will be worn by the disabled person and the letter made by him will be recognized by means of atmega328 microcontroller which will be having an inbuilt ADC, it will compare the digital value obtained by the gesture with the pre stored values and will display the corresponding letter onto the LCD screen thereby forming a word.
Networking Trapped-ion Quantum Computers

We discuss a scalable approach to networking trapped-ion quantum processors. We present initial networking results, showing that we can connect registers of near-perfect trapped-ion data qubits via a flexible photonic link.
The Relationship between Cyber Security and Decision Support Systems

The concept of decision making is the product of a process.This process starts with defining the problem and determining the objectives.The Objectives should be practical, feasible, identifiable and compatible with the latest technology.After defining the objectives, the options for problem solving are determined.The options should consist of at least two or more variables.The next step is to determine the most optimal option.During this process, the decision maker may face various challenges.For example, the best option may not be obvious.Therefore, analytical methods should be used at this stage.However, this stage is not sufficient enough for the success of the decision process.It is necessary to implement the determined decision.When you think that such a gradual process is used to make complex decisions, there is a need for auxiliary systems.Information technologies are used at this point.These technologies also lead us to Decision Support Systems.The fact that the decision support systems are internet open systems, it reveals the concept of cyber security.
UMP Librarians conduct Information Cataloguing Workshop in Pekan

In its continuous efforts to maintain harmonious interactions between Universiti Malaysia Pahang (UMP) and the community of Pekan, the former’s Library took on the innovative social responsibility role by conducting an “Integrated Cataloguing of Information for Resource Centres” workshop (SKBPSS) on February 13, 2019, involving several secondary schools within the district.
Two-Sided Sparse Learning with Augmented Lagrangian Method.

In this paper, we propose a novel sparse learning model, named Two-Sided Sparse Learning with Augmented Lagrangian Method, and apply it to the classification problem. Existing dictionary learning method only emphasizes the sparsity of cases, but neglect the sparsity of features. In the context of classification, it is crucial to take into account the correlation among features and find the most representative features in a class. By representing training data as sparse linear combination of rows and columns in dictionary, this model can be more suitable for classification problem. Experimental results demonstrate that our model achieves superior performance than the state-of-the-art classification methods on real-world datasets.
Model-based Genetic Programming with GOMEA for Symbolic Regression of Small Expressions

The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP). Differently from traditional EAs where variation acts blindly, GOMEA learns a model of interdependencies within the genotype, i.e., the linkage, to estimate what patterns to propagate. In this article, we study the role of Linkage Learning (LL) performed by GOMEA in Symbolic Regression (SR). We show that the non-uniformity in the distribution of the genotype in GP populations negatively biases LL, and propose a method to correct for this. We also propose approaches to improve LL when ephemeral random constants are used. Furthermore, we adapt a scheme of interleaving runs to alleviate the burden of tuning the population size, a crucial parameter for LL, to SR. We run experiments on 10 real-world datasets, enforcing a strict limitation on solution size, to enable interpretability. We find that the new LL method outperforms the standard one, and that GOMEA outperforms both traditional and semantic GP. We also find that the small solutions evolved by GOMEA are competitive with tuned decision trees, making GOMEA a promising new approach to SR.
The historical and epistemological relations between Librarianship and Information Science in the Brazilian scientific production

Abstract This is an exploratory qualitative and bibliographic research without a chronological framework that addresses the historical and epistemological relations of Library Science and Information Science from the Brazilian scientific production in Information Science. This study addresses how and which aspects in the historical and epistemological relation occur between Information Science and Librarianship in Brazilian scientific production. The general objective is to identify to what extent the content of publications brings the two fields together. Specifically, the objectives were as follows: list works within the Brazilian scientific production in Information Science that deal with the history and epistemology of Librarianship and Information Science; verify which works correlate historical and epistemological aspects of librarianship with Information Science; elicit some reflections on the historical and epistemological relations from the analysis of this research. The data collection was carried out in the Journal Portal of Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Coordination for the Improvement of Higher Education Personnel) database of the Scientific Electronic Library Online, Library and Information Science Abstracts, Web of Science and Scopus. Based on the analysis of the corpus of 21 articles, the most predominant themes were the history of Librarianship, the development of Information Science, the documentation of Paul Otlet and Henri La Fontaine, and interdisciplinarity. It is important to deepen the historical and epistemological relations of Librarianship and Information Science in national scientific production since research shows a lack of theoretical depth in the studies retrieved from the corpus.
Fast Congestion Response

The high link speed (100Gb/s) in Data Centers (DC) are making networktransfers complete faster and in fewer RTTs. The short data burstsrequires low latency while longer data transfer require highthroughput. This document describes the current state of flow controland congestion handling in the DC using RoCEv2 and suggests newdirections for faster congestion control.
Platinum metals on the Bam gold ore deposit of the Upper Amur region

The problems of complex extraction of noble metals (Ru, Rh, Pd, Ag, Os, Ir, Pt, Au) during the development of gold-silver deposits have recently acquired increasing practical importance and relevance, due to the clear tendency to exhaust the base of available ores, their concentration of useful components and deterioration of mining processing conditions. The aim of the work was an additional study of platinum mineralization in ore objects at the large Bam gold ore deposit of the Upper Amur region and obtaining estimates of noble metal contents by atomic absorption, electrochemistry and chemical analyzes. It is shown that industrial concentrations for mining are gold and silver, and platinum metals are present at concomitant concentrations and do not reach the values required for cost-effective industrial processing. The revealed peculiarities of the Bam deposit are superposition of high-temperature and low-temperature stages of mineralization of precious metals within the ore columns, which leads to averaging of general geochemical regularities and leveling of characteristic local differences. It is noted that platinum mineralization increases with depth and proximity to the source of volcanic heat, just like the relative sample of gold.
Test Scores and Reports

You may locate test scores in your TEA online account and by contacting the testing companies. Official Score Reports Log in to your TEA account or contact the testing company to obtain your test scores. View and print tests taken September 1, 2006, or later, through the Educational Testing Service (o
LibGuides: Human Library Event: Be a "Book" (application)

Everything you need to know about the human library! Find information about what a human library is, what human books are, and how to participate as a reader.