Reviewerly/exHarmony huggingface dataset:
Ökad förståelse av olika format : En kvalitativ studie om skillnaden i hur läsaren förstår och minns information genom att studera en tidningsartikel med grafik i mobilanpassat format och i tryckt format

Newspapers are today adapted to mobile format and printed format. In this thesis in information design, it is examined whether there are differences in how a reader understands and remembers an art ...
LibGuides: Getting Started Using the Library (Support during COVID-19) : For Faculty

This guide will help you learn how to access library resources during the COVID-19 disruption.
Развитие предпринимательской миссии вуза в рамках концепции «Университет 3.0»: тенденции и перспективы

The article presents the prospects for the development of the entrepreneurial mission of the University within the concept of «University 3.0» and analyzes the necessary conditions for this.
TEACHERS FACTORS AS PREDICTORS OF INFORMATION COMMUNICATION TECHNOLOGY INTEGRATION IN THE TEACHING OF PHYSICAL EDUCATION

The use of Information and Communication Technology (ICT) in modern-day teaching has helped to improve the quality of teaching deliverables through a wide range of software and input devices.
Research Guides: Ebooks - Finding and Using: How to use ebooks

Introduction to ebooks and how to find them through Temple Libraries (restricted) and public sources
Effect of Technology Development on Social Change and Tech-Driven Fraud in Indonesia

Technological developments affect people's behavior that drives social change. This change has broad aspects, including those relating to values, norms, behavior, social organization, social layer, power, authority and social interaction. The development of technology that is used poorly can have an impact on the development of criminal acts in Indonesia, including crimes committed in cyberspace (cyber crime), skimming namely theft of credit or debit card information, trafficking in persons, narcotics. The shift in the form of changes in people's behavior, must be balanced with adjustments to regulations and strict legal sanctions with the aim of maintaining orderly behavior of the community. The Indonesian government has issued several laws and collaborated with countries at the ASEAN regional level and globally to tackle criminal acts that arise as a result of technological developments
LibGuides: Citations for Archival Materials: About

This guide will detail how to cite archival material located in the CSUDH Archives for MLA, APA, and Chicago citation styles.
Research Guides: Graduate Student Resources & Services: Teaching Support

This is a guide to resources and services in the UO Libraries especially relevant for graduate students.
Identifikasi Kebutuhan Pendidikan Melalui Keunggulan Potensi Daerah

The main objective of this research is to identify what education is in line with the advantages of regional potential, namely through specific typologies, approaches to the pattern of economic growth relations and the human development index and location quotient.&#x0D; This type of research method is development research, namely research aimed at developing research findings or previous theories, both for the purposes of pure science and applied sciences and so on. The data used in this study is secondary data in the form of data in the form of annual reports on Aceh economic statistics in 2012-2016 in the form of GRDP data, economic growth, per capita income, human development index obtained from the Central Statistics Agency.&#x0D; The results of the study show that the identification of education is appropriate to the potential in disadvantaged areas, namely Aceh Singkil District such as electricity and gas procurement, financial and information services, government administration, land and compulsory social security, as well as health services and social activities; South Aceh Regency such as construction, information and communication, as well as government administration, land and compulsory social security; North Aceh Regency such as agriculture, forestry and fisheries; mining and excavation; and processing industry; Southwest Aceh District such as construction; health services and social activities; and other services; Aceh Tamiang Regency such as fisheries, forestry and fisheries; mining and excavation; and other services; Nagan Raya Regency such as agriculture, forestry and fisheries; and mining and quarrying; and Aceh Jaya Regency such as construction, transportation and warehousing, as well as government administration, defense and compulsory social security.&#x0D; &#x0D; Keywords: standard typology, economic growth, human development index, and location quotient
Seismic swarms show the structure

GeophysicsFaults responsible for earthquakes are idealized into two dimensions, despite fault zones being complicated, three-dimensional structures. Ross et al. used machine learning to find 22,000 seismic events near Cahuilla, California, during a seismic swarm. They used the locations and sizes of these events to show how the complex structure of the fault interacted with natural fluid injections from below. The authors' methods highlight the complexities of one fault and suggest a way to characterize other faults around the world.Science , this issue p. [1357][1] [1]: /lookup/doi/10.1126/science.abb0779
Taxation in the Age of Smart Contracts: The CryptoKitty Conundrum

Smart contracts are the latest twist on automated programming. Their tax implications are still emergent: regulators may seek to fight, join, or try to dominate the market for virtual assets in direct competition with the ambitions of private law orders. This paper reviews the technology to date and examines these possible government responses, using the Ethereum-based CryptoKitties application as a concrete example. The paper concludes that the most likely tax regulatory scenario is the road taken to date, which is to narrowly address the worst tax system abuses with familiar safeguards to the best ability of the tax administrator, subject to resource constraints as well as legal barriers.
PMA LibGuides: How to Use OpenAthens: OpenAthens FAQ

Guidance for completing the registration process and accessing the library's electronic resources through OpenAthens Frequently asked questions about OpenAthens.
Design and Implementation of Shape and Texture Based Image Segmentation on Morphological Gradient Approach

Identifying and separating objects within an image is a significant challenge due to high object and background variability. This can be obtained through feature extraction approach. There are different ways of extracting the image features. It is based on texture, shape and colour. The present paper aims to study and analyse the various approaches for feature extraction and object recognition. This study proposed a hybrid approach, which is a combination of enhanced Fractal Texture Analysis with Layout Descriptor to overcome the obstacles in image segmentation. It is used to lessen the boundary complexity of the segmented image. First, the image is preprocessed to discard the noise and to retain the adequate details of the image in a perfect way through Adaptive Switching Median Filter. Secondly, it improves the power of the edges detected through a noise-protected edge detector. Finally, it is applied with morphological gradient technique that is a twin function of both shape and texture gradient removal for extorting the qualities of the image. In this way, the proposed methodology directly performs on the colour image which supports to enhance prediction accuracy of the object in terms of colour characteristics that offers better results than the grayscale conversion approach. Moreover, the shape feature is extracted from the preprocessed image depending on the details like compactness, rectangularity, eccentricity and moment invariants.
Location-based Virtual Reality experiences for children: Japan-UK knowledge exchange network final project report

This is the final project report for an AHRC/ESRC funded Uk-Japan network looking at location-based VR experiences for children.Location-based VR are site specific experiences that aim to bring together materials beyond those in the virtual space to carefully curate an experience for an audience who are likely to use the content only once or a few times. As a result, location-based VR experiences are emerging predominately in two areas; gaming arcades and museums/art galleries.The overall intention of this knowledge exchange (KE) project was to bring together a network of academics and digital gaming industry partners in Japan and the UK to join up knowledge, begin researching the current state of VR experiences and technologies, and to understand the best methodologies for including children in the design of VR experiences for them. This was undertaken so that this knowledge can be applied to areas in which VR is evolving for children, such as entertainment, education and health care.
Инфографика как медиаобразовательная технология

The research examines the possibilities of using infographics in the process of «Computer technologies in art education» training in the professional development of the future teachers. The concept of infographics has been clarified, which is defined as one of the forms of graphic and communication design, which uses a graphical way of providing information, data and knowledge. Features and algorithm of organization of information for solving educational and creative tasks have been considered.
Algorithm for Probability Calculation of B- Spline Curve

Abstract This paper presents a probability calculation method for B-spline curve, which is made up of coordinate transformation unit, normalization unit, binarization unit, probability calculation unit, data decoding unit. This thesis offers the general structure and algorithm principle of generating B-spline curve, and draws the B-spline curve on the simulation hardware of VC++6.0 software. Experimental results show that compared with the traditional method of directly calculating B-spline, Paper’s method has lower algorithm complexity and faster curve generation, which is more beneficial to the realization of high-order B-spline curve.
LibGuides: Project Planning for the Beginner: Defining a Topic

This Sage Research Methods tool is designed for the first time researcher to guide you through your research project. Before you start your research, you need to define your topic and develop a research question or hypothesis.
Research Guides: Graduate Student Resources & Services: Thesis & Dissertation Support

This is a guide to resources and services in the UO Libraries especially relevant for graduate students. Resources for supporting the writing process.
LibGuides: Primary Sources for Catoctin Students: Reliable Web Resources

Use the databases and other tools in this guide to serach for and use primary sources in your research.
A garden of forking paths: the several and multifaceted perspectives in the relationship between privacy and technical enablers

As in the short story written by Jorge Louis Borges “The Garden of Forking Paths”, the multifaceted combinations between privacy and technological evolution display in front of us a multifaceted landscape, and uncountable set of links among data, technologies and privacy are echoing continuously several alternatives. Moving from this emblematic metaphor of current scenario, this paper intends to overview the strongest implications in terms of privacy induced by raising of big data related technologies, internet of things and blockchain.
Effectiveness of Feasibility and Utilization of Breast Self-Examination Model and Early Detection Measures to Evaluate Axillary Lymph Nodes and Breast Carcinoma among Women

The vast increase in health sector related to major deaths occurring globally, among which Cancer is the deadly disease. Among the various types of cancer, the breast cancer is said to be the most prevalent but if diagnosed early can be treated and thus reduce the death rates due to cancer.Objectives: 1.Assess the knowledge of women regarding Breast carcinoma and Breast Self-Examination. 2. Assess the effectiveness of feasibility and utilization of Breast Self-Examination Model. 3.Raise Public Awareness about Breast Carcinoma, the importance of early screening, causes of breast carcinoma, and ways of its prevention. 4.Boost awareness on the importance of early screening procedures to detect abnormal changes in women breast and breast self-examination.Method: Pre-experimental; one group pre- test-post test design was adopted for this study. the sample consisted of 30 subjects, data was collected using structured knowledge questionnaire, then using the breast self examination model the BSE was taught and after a period of 7 days post test was conducted along which even a modified 5 point Likert scale was used to evaluate the feasibility and utilization of the BSE.Results: In pre-test on Breast self-examination Majority of the subjects 13.33% had good knowledge, 76.66% had average knowledge and 10% had poor knowledge, where as in post-test 26.66% had good knowledge,70% had average knowledge and 3.33% had poor knowledge.Conclusion: The study concludes that the feasibility and utilization of Breast self-examination model was effective in increasing the knowledge, raising the awareness, early screening regarding Breast carcinoma and BSE among women’s of post 35 years.
A Novel Automatic System for Logo Based Document Image Retrieval Using Hybrid SVDM-DLNN

Many government and private organisations represent themselves to the public using their own symbols or logo which is unique from others so that anyone can easily identify their products or belongings. This gives an ownership and source documentation to the owner by simply providing such logos. Using these logos for document retrieval in the World Wide Web is a booming research in the present era. Since usage of virtual documentation is increased day by day and handling this large data becomes a problem while searching for a single data. In the present research arena, various document image retrieval models are available based on classification and clustering techniques. In this, graph techniques are used to identify the issues in the automatic logo detection model using back propagation neural network along with the single value decomposition model. This proposed research model is concerned about the document retrieval system based on the logo matching process to attain better efficiency and accuracy than the earlier detection models.
Multiport universal unitary interferometer design

Linear optics is a promising physical architecture for the implementation of the quantum computing devices. The key element of the linear optical quantum computer is an optical circuit realizing the sequence of transformations defined by the required quantum algorithm. The most prominent approach is the reconfigurable integrated photonics which allows to miniaturize standard optical setups on the chosen integrated photonic platform. In this paper, we propose a universal linear-optical circuit design comprised of the series of multiport beamsplitters followed by the phaseshifting elements. The proposed unitary composer device can be straightforwardly implemented using standard integrated photonic technologies. We provide guidelines for appropriate multiport beamsplitter fabrication using integrated waveguide lattices. To exemplify the performance of the composer we provide the six-mode CNOT linear optical gate circuit design fitted to described interferometric circuit.
CONTENT BASED MEDICAL IMAGE RETRIEVAL (CBMIR): A SURVEY OF REGION OF INTEREST (ROI) AND PERCEPTUAL HASH VALUES

Medical imaging is inevitable for the advanced healthcare system, and its extensive application has led to the generation of image repositories, and also picture storage and communication systems. These databases contains images obtained from a versatile modalitiesarray, multidimensional images, and also co-aligned multimodality images. In the medical imaging field, Content-Based Image Retrieval (CBIR) approaches are used for assistingradiologists in retrieving images having identical contents. CBIR is a method of image retrieval that makes use of visible features of an image liketexture, shape and color forfinding user based query images from massive repositories. CBIR techniques are generally designed on the basis of particular features of images such that those techniques are not quite ready to be inter-applieded among various types of medical images. In order to resolve this problem, Region Of Interest (ROI) and Perceptual Hash Values is used for CBIR based medical image retrieval process. This research work reviews CBIR, its image retrieval challenges and threats impacting the image processing system, different possible techniques suggested by the researchers to deal with the image retrieval problems, benefits and drawbacks and probably the solution in CBIR are analyzed and compared. ROI image retrieval consists of devising region based query, extraction of features, indexing and images retrieval comprising of identical region as query states. ROIforms a segment of an image, which needs to be filtered or operated on in some means. The toolbox provides support for a group of ROI objects, which can be used for the generation of ROI of multiple shapes, circles, ellipses, polygons, rectangles, and hand-drawn shapes. This review work provides a survey and comparative analyses of the available approaches for CBIR techniques such as machine learning, feature extraction, feature selection and classification techniques. Convolutional Neural Network (CNN), Principal Component Analysis (PCA), Fused Context-Sensitive Similarity (FCSS), Composite Anchor Graph Hashing with Iterative Quantization (C-AGH-ITQ) and robust algorithm along with machine learning techniques are studied in this work. The feature extraction techniques like Histogram Descriptor (EHD), Local Binary Patterns (LBP), Support Vector Machine (SVM), Rank Error-based Metric Learning (REML), Scale-Invariant Feature Transform (SIFT), Bag-Of-visual-Words (BOW), probabilistic Latent Semantic Analysis (pLSA) are explained in this review work. The feature selection and classification techniques such as Latent Dirichlet Allocation (LDA), Interval In Consistency Based Merge for Feature Selection (IICBMergeFS), Dense convolutional Network (DenseNet), majority voting, Radon Projections (RP), Random Forests (RF), Partial Least Squares-Discriminant Analysis (PLS-DA) and Artificial Bee Colony (ABC) are also studied in this technical work. The advantages and drawbacks of different CBIR techniques are explained clearly in this research work.
G. Peningkatan Prestasi Belajar IPS Pada Kompetensi Dasar Perjuangan Tokoh Pejuang Pada Masa Penjajahan Belanda Melalui Model Jigsaw Pada Siswa Kelas V MI Darul Ulum Desa Toba Timur Kabupaten Sampang Tahun Pelajaran 2018/2019

AbstractFor most students in school, social studies are considered difficult subjects, although not a few enjoy this lesson. Many of the school students, especially elementary schools, are the basic level of all education that children will undergo complaining about social studies. They consider IPS as a difficult and tedious lesson. Moreover, if they get a score below the average. If this situation continues to the level of education, then, throughout their education they consider Ips to be the scariest lesson. In fact, IPS is actually an exciting lesson especially for elementary students.In general, this activity aims to determine the role of the Jigsaw type cooperative learning model in improving the learning achievement of fifth grade students and to find out how the impact of using the Jigsaw type cooperative learning model on student achievement in social studies learning. The benefit of this activity is to provide information about the use of the Jigsaw type cooperative learning model in social studies learning.To achieve the objectives set in the study used a descriptive qualitative method by using observational data analysis and social studies learning data to increase from the initial cycle to the second cycle. In the initial cycle = 59.4, Cycle I = 75.4, Cycle II = 79.04. Thus, it can be concluded that the use of the Jigsaw type cooperative learning method in social studies learning can increase the fifth grade students of MI Darul Ulum, East Toba Village, Sokobanah District, Sampang Regency. Keywords: Cooperative Model, Type Jigsaw
SPHINCS+ post-quantum digital signature scheme with Streebog hash function

Many commonly used public-key cryptosystems will become insecure once a scalable quantum computer is built. New cryptographic schemes that can guarantee protection against attacks with quantum computers, so-called post-quantum algorithms, have emerged in recent decades. One of the most promising candidates for a post-quantum signature scheme is SPHINCS+, which is based on cryptographic hash functions. In this contribution, we analyze the use of the new Russian standardized hash function, known as Streebog, for the implementation of the SPHINCS+ signature scheme. We provide a performance comparison with SHA-256-based instantiation and give benchmarks for various sets of parameters.
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks

Simulated games have become a dominant platform for multiagent intelligence research in recent years. Previous works have succeeded on arcade, first person shooter (FPS), real-time strategy (RTS), and massive online battle arena (MOBA) games. Our work considers massively multiplayer online role-playing games (MMORPGs or MMOs), which capture several complexities of real-world learning that are not well modeled by any other game genre. We present a massively multiagent game environment inspired by MMOs and demonstrate that simple policy gradient methods produce interesting emergent exploration and specialization behaviors.
Проблема интерпретации «открытости» в условиях глобального информационного пространства

Openness is one of the main characteristics of the information society. It is interpreted as free access to information. Openness is perceived as a fundamental value and characteristic of society, the most important personality trait, development goal, and also a means of realizing specific tasks. However, social and individual strategy of informational openness in a global information space is a high-risk strategy, involving high uncertainty of the results and the likelihood of negative consequences