Reviewerly/exHarmony huggingface dataset:
A Involvement Of Software Deﬁed Networks

Software deﬁned networking (SDN) is an emerging approach to hold data advance and organize discretely. The concept of programmability has middle significance in SDN. Two accomplishment strategy; proprietary and unbolt source, are determining the trends of the adoptability of SDN by major hardware manufacturers. An assembly of foremost vendors believes that slack coupling between the rational and corporal layers of a network hinders the proper provision of physical resources and suggests a proprietary ﬁx to this problem. The other group regards the conception of openness as s key feature of SDN. This paper compare and contrasts these two implementation strategies of SDN by identifying their individual operating principles, facial appearance of the product lines, and fault and strengths.
Grounds for Studying New Media in the Context of the Science of Culture (Based on Works of L. White and M. McLuhan)

The purpose of the article is to justify the appropriateness of studying media in general and new media in particular in the context of culturology. The research methodology consisted in the theoretical foundations of Leslie Whiteʼs science of culture applied to Marshall McLuhanʼs media theory. The article ascertains that the principles of universalism, technodeterminism, and evolutionism can be considered as inherent not only in cultural studies but media theory as well. The author indicates methodological weaknesses of media research, which get exacerbated in the process of the development of digital media. The article provides an argumentation in favor of technological determinism of L. White and M. McLuhan, and also points to reasonableness of its re-actualization in the theory of new media. Conclusions. The combination of culturological and media discourses allows for developing a relevant approach to the study of media as an integral part of culture. It is stressed that the context of new media especially actualizes the issue of combining L. Whiteʼs theory of culture and M. McLuhanʼs theory of media, as well as adjusting the direction of media research in accordance with their basic theoretical guidelines.
Computer-Assisted Analysis of Biomedical Images

Nowadays, the amount of heterogeneous biomedical data is increasing more and more thanks to novel sensing techniques and high-throughput technologies. In reference to biomedical image analysis, the advances in image acquisition modalities and high-throughput imaging experiments are creating new challenges. This huge information ensemble could overwhelm the analytic capabilities needed by physicians in their daily decision-making tasks as well as by biologists investigating complex biochemical systems. In particular, quantitative imaging methods convey scientifically and clinically relevant information in prediction, prognosis or treatment response assessment, by also considering radiomics approaches. Therefore, the computational analysis of medical and biological images plays a key role in radiology and laboratory applications. In this regard, frameworks based on advanced Machine Learning and Computational Intelligence can significantly improve traditional Image Processing and Pattern Recognition approaches. However, conventional Artificial Intelligence techniques must be tailored to address the unique challenges concerning biomedical imaging data. This thesis aims at proposing novel and advanced computer-assisted methods for biomedical image analysis, also as an instrument in the development of Clinical Decision Support Systems, by always keeping in mind the clinical feasibility of the developed solutions. In conclusion, the ultimate goal of these research studies is to gain clinically and biologically useful insights that can guide differential diagnosis and therapies, leading towards biomedical data integration for personalized medicine. As a matter of fact, the proposed computer-assisted bioimage analysis methods can be beneficial for the definition of imaging biomarkers, as well as for quantitative medicine and biology.
An Evaluation of the Concepts of Dangerous and Hate Speeches, and Their Security Implications in the Social Media Era Nigeria

The security challenges of this contemporary era have shifted from the physical to the virtual spaces and retain dominance in both spaces. The innovation of internet-aided tools like social media has facilitated the proliferation of expressions that raise fear in people and threaten their existence even within their localities. Nigeria, in particular, is not exempted from this issue. Thus, particularly because of her history of violence, ethnic and religious divides, the proliferation of dangerous and hate speeches online which catalyzes hostility, dehumanization and violence, calls for serious concern. This paper, therefore, examines the extent to which Nigerian security is threatened by the spread of dangerous and hate speeches via social media. Also, due to the conceptual ambiguity of hate speeches, this study attempted a precise conceptual clarification on the terms: dangerous and hate speeches. And further argued that dangerous speeches predispose individuals and groups to violence, hate speeches also raise concerns because of their dismissive and divisive capacity, and they could also trigger dangerous responses that could lead to eventual violence. The data were generated from online scholarly journal articles and organizations’ documents. The study recommends for both hate and dangerous speeches to be curbed in the Nigerian cyberspace, as both breed unhealthy rivalry and keeps victims and target groups feeling less secure.Keywords: Hate speech, Dangerous speech, Social media, Insecurity, Security, Nigeria
ИССЛЕДОВАНИЕ СВЧ-ИЗЛУЧЕНИЯ

The research was conducted within project work of students in the course of physics studying. The basis for the problem definition is the widespread use of microwave (a very high frequency) radiation both in everyday life, and in the industry. Theoretical bases of receiving and practical use of microwave radiation are studied. According the selected scheme a device for receiving microwave radiation is made. Rules of safety during work under microwave radiation are studied. Water, electroluminescent lamp and semiconductor radio receiver are selected as the objects of study. The dependence of the boiling time of water on the distance to the source of microwave radiation is established. The possibility of burning of the electro luminescent lamp in the conditions of microwave radiation is shown and the dependence of burning brightness on the distance to a microwave radiation source is found. It is shown that as a result of the influence of microwave radiation on a semiconductor radio receiver, its operation deteriorates or stops (up to complete destruction) depending on the distance to the source of microwave radiation.
Retrieval Efficiency of Search Engines on Medical Tourism in Kerala: A Webometric Analysis

World Wide Web is like an ocean of information; it is not easy to find specific information from it because the web is very huge and growing all the time.So there are certain tools used to search information from the web.They are called search engines.They search through all the web sites and create an index of the information of the web sites and act as a single point to find relevant information.E.g.Google, Yahoo, Bing, Lycos, Info seek etc.Analysis on 8 representative variables form all the subsectors of on Medical Tourism in Kerala, the search engine Lycos retrieves 59% of the total results and stands first followed by Bing in the second position with 37% and Google in third position with only 2% of results .The remaining less than 1% is shared by all Metasearch engines, of these Ixquick stands first with a slight difference from others followed by Dogpile and WebCrawler Analysis of 10 variables on Ayurveda tourism Lycos occupies first place with a high result of 85% and Google in the second position followed by Bing in the third position with a less Percentage of 7 and 6 respectively.Among Metasearch engines Ixquick stands first, followed by WebCrawler and Dogpile.
Creative Activity in the Formation of Higher Education Students' Ecological Culture

The article deals with the important pedagogical problem as young person creative activity; the development of efficient mechanism of this process and proper pedagogical conditions for successful formation of students’ ecological culture are revealed as well. A human is characterized by a conscious, active and creative attitude to nature that is covered both materialistic and spiritual areas. Ecological culture determines a person’s spiritual outlook, way of thinking, aesthetic values and orientations, individual readiness for creation of cultural and ecological wealth as well as a more secure world. A person can learn how to act creatively when the situation requires their creative decisions. Creativity is an activity that actively engage person's imagination across all domains - cognitive, communicative, social, emotional, and physical. It is obvious that the assimilation of some knowledge and the development of appropriate skills are completely insufficient. These requirements of life are directly related to the educational process of higher education. High priority to the problems of students’ ecological education is due to the following reasons: the need to consider ecological education as a continuous and systematic process that operates during the entire period of training, the relevance of the formation of ecological culture in the period of the professional development of a personality. Our study showed that the greatest efficiency in the formation of ecological culture is achieved through the practicing of various pedagogical influence methods that are including the use of special questions, eco-games, auto-trainings, problem situations ensuring compliance with ethical standards of behavior and developing “environmental conscience” as well as other different types of creative tasks. The combination of various forms of work with the close students–educators cooperation makes a positive effect on formation of the ecological culture of future specialists.
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings

Given a small corpus D T pertaining to a limited set of focused topics, our goal is to train embeddings that accurately capture the sense of words in the topic in spite of the limited size of D T .These embeddings may be used in various tasks involving D T .A popular strategy in limited data settings is to adapt pretrained embeddings E trained on a large corpus.To correct for sense drift, fine-tuning, regularization, projection, and pivoting have been proposed recently.Among these, regularization informed by a word's corpus frequency performed well, but we improve upon it using a new regularizer based on the stability of its cooccurrence with other words.However, a thorough comparison across ten topics, spanning three tasks, with standardized settings of hyper-parameters, reveals that even the best embedding adaptation strategies provide small gains beyond well-tuned baselines, which many earlier comparisons ignored.In a bold departure from adapting pretrained embeddings, we propose using D T to probe, attend to, and borrow fragments from any large, topic-rich source corpus (such as Wikipedia), which need not be the corpus used to pretrain embeddings.This step is made scalable and practical by suitable indexing.We reach the surprising conclusion that even limited corpus augmentation is more useful than adapting embeddings, which suggests that non-dominant sense information may be irrevocably obliterated from pretrained embeddings and cannot be salvaged by adaptation.
Bosonic Modular Subsystem Codes

We introduce a framework to decompose a bosonic mode into two virtual subsystems-a logical qubit and a gauge mode. This framework allows the entire toolkit of qubit-based quantum information to be applied in the continuous-variable setting. We give a detailed example based on a modular decomposition of the position basis and apply it in two situations. First, we decompose Gottesman-Kitaev-Preskill grid states and find that the encoded logical state can be damaged due to entanglement with the gauge mode. Second, we identify and disentangle qubit cluster states hidden inside of Gaussian continuous-variable cluster states.
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery

In this paper, we propose a novel iterative multi-task framework to complete the segmentation mask of an occluded vehicle and recover the appearance of its invisible parts. In particular, to improve the quality of the segmentation completion, we present two coupled discriminators and introduce an auxiliary 3D model pool for sampling authentic silhouettes as adversarial samples. In addition, we propose a two-path structure with a shared network to enhance the appearance recovery capability. By iteratively performing the segmentation completion and the appearance recovery, the results will be progressively refined. To evaluate our method, we present a dataset, the Occluded Vehicle dataset, containing synthetic and real-world occluded vehicle images. We conduct comparison experiments on this dataset and demonstrate that our model outperforms the state-of-the-art in tasks of recovering segmentation mask and appearance for occluded vehicles. Moreover, we also demonstrate that our appearance recovery approach can benefit the occluded vehicle tracking in real-world videos.
The Problem of Determining the Essence of Intercultural Competencies and Competence of Future Specialists of Socionomic Professions in the Context of the Competence Approach

The article analyzes the competence approach as a methodological basis for the formation of intercultural competencies and competence. It is emphasized that the result of introducing a competent approach in the educational process is the formation of competencies and competence; transferring the emphasis from the acquisition of knowledge to the formation of skills and aptitudes purposefully use the acquired knowledge for successful professional activities. Accordingly, the competence approach can be considered as a program of restructuring the educational process for the formation of a set of intellectual, psychological qualities and personality traits, its ideological ideas, the acquisition of professionally oriented knowledge, skills and abilities, which will enable the future specialist of the socionomic sphere to implement effectively their intellectual and professional potential in practice. The article also analyzes the problem of determining the hierarchical subordination and comparison of the concepts of intercultural competencies and competence, their role in the formation of the readiness of future specialists of the socionomic sphere to provide social and psychological services to clients, representatives of various ethno-cultural groups.
UWM Libraries Research and Course Guides: Library Resources for the Flex Option: Manage Your Research

Library resources for general education courses in the Flexible option. This page covers the basics of citing sources and setting up a Refworks account to organize and keep track of research materials.
Bitcoin’s Not-So-Carbon-Friendly Footprint

New research finds that verifying cryptocurrency produces about the same amount of carbon emissions as the Kansas City metropolitan area.
Research on Artificial Intelligence Method for Identification of Transformer Fault

Oil-filled power transformers play an important role in the modern network system. Stability of power supply can be achieved by early detection of power transformer fault and continuous monitoring of equipment status. Transfo... | Find, read and cite all the research you need on Tech Science Press
Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection

This paper describes the team peter-parker's participation in Hyperpartisan News Detection task (SemEval-2019 Task 4), which requires to classify whether a given news article is bias or not.We decided to use JAVA to do the article parser and the BERT model to do the bias analysis and prediction.Furthermore, we will show experiment results with analysis.
Image segmentation by using global and local thresholding algorithm

Image segmentation is one of the most difficult and challenging tasks in many image processing. Several general-purpose algorithms and techniques have been developed in medical application. Image processing describes the analysis images and obtaining desired segmentation results. Many researchers have used various types of techniques to review the images. The goal of image segmentation is to partition an image into more meaningful and easier use to analyze the various features of that image. Segmentation techniques are involving detection, recognition, and measurement of features. The segmentation algorithm is based on color and gray value images. Among all the segmentation methods, the fundamental approach to segment an image is based on the intensity levels and is called a threshold-based. One of the widely used techniques is thresholding. Thresholding is the simplest approaches to separate object from the background and it is widely used for medical image processing. Thresholding technique creates a grayscale image into a binary image. Thresholdng and edge detection are an important technique in image processing. Thresholding techniques can be classified into two thresholdings. These are global thresholding and local thresholding. The local thresholding method is divideded the original image into small sub images. It determines a threshold value for each of subimages. Global thresholding method determines a single threshold value in the whole images. The thresholding values are depending upon the spatial coordinates. In this paper, we analyze an efficient segmentation of for three different thresholding methods. These methods are Otsu’s, Feng’s and Sauvola methods. The three thresholding algorithms have been simulated in MATLAB.
Perception and Use of Web 2.0 Applications by Medical Students of Ambrose Alli University Ekpoma

ABSTRACT This study examined the perception and use of web 2.0 applications for academic purposes by medical students of Ambrose Alli University, Ekpoma. The objective aimed to investigate the medical students perceptions of web 2.0 applications, web 2.0 tools use, extent of use and purpose for use and challenges encounter when using web 2.0 applications. Descriptive survey method was used for this study. The total population of this study was 3670 and the sample size was 367 representing 10% of the study. The purposive sampling technique was adopted as the sample technique. The instrument used for this study was questionnaire, a total of 367 copies were administered and 321 were found useful for the study. Percentage, means and standard deviation on table and chart were used to analyze the data collected using Statistical Package for the Social Sciences (SPSS) software. Findings showed that the perception of web 2.0 applications of medical students AAU was positive and few of web 2.0 applications was use for academic purposes. Findings also showed that challenges encountered by medical students using web 2.0 applications are; unstable network signal, insufficient data usage, erratic power supply, lack of open wifi connection, limited knowledge about web 2.0. It was recommended in the study that medical students should be provided with the facilities in a format more familiar to them and used by most of them and institutions needs to equip the learning process with the needed facilities which will be of utmost benefit even for future purposes URL:  http://ijkcdt.net/xml/20258/20258.pdf
Semi Automatic Construction of ShEx and SHACL Schemas

We present a method for the construction of SHACL or ShEx constraints for an existing RDF dataset. It has two components that are used conjointly: an algorithm for automatic schema construction, and an interactive workflow for editing the schema. The schema construction algorithm takes as input sets of sample nodes and constructs a shape constraint for every sample set. It can be parametrized by a schema pattern that defines structural requirements for the schema to be constructed. Schema patterns are also used to feed the algorithm with relevant information about the dataset coming from a domain expert or from some ontology. The interactive workflow provides useful information about the dataset, shows validation results w.r.t. the schema under construction, and offers schema editing operations that combined with the schema construction algorithm allow to build a complex ShEx or SHACL schema.
INFLUENCE OF EPISTEMIC KNOWLEDGE IN THE DEVELOPMENT OF SCIENTIFIC PRACTICES: THE EPIS-PRACT PROJECT

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 3645-3650ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0954Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Remove salt and pepper noise using deep learning method

In therapeutic field, picture denoising is must for examination of pictures, conclusion and treatment of sicknesses. Presently multi day, picture denoising techniques dependent on profound learning are viable. We decide the nature of the denoised picture, crest sign to commotion proportion (PSNR), Mean Square Error (MSE) and contrast and preparing informational collection. A test result demonstrates that our methodology has preferable exhibition over some different procedures. In this paper, we present another picture denoising methods for expelling salt and paper clamor from defiled picture by utilizing profound learning.
E-HBA: Using Action Policies for Expert Advice and Agent Typification

Past research has studied two approaches to utilise predefined policy sets in repeated interactions: as experts, to dictate our own actions, and as types, to characterise the behaviour of other agents. In this work, we bring these complementary views together in the form of a novel meta-algorithm, called Expert-HBA (E-HBA), which can be applied to any expert algorithm that considers the average (or total) payoff an expert has yielded in the past. E-HBA gradually mixes the past payoff with a predicted future payoff, which is computed using the type-based characterisation. We present results from a comprehensive set of repeated matrix games, comparing the performance of several well-known expert algorithms with and without the aid of E-HBA. Our results show that E-HBA has the potential to significantly improve the performance of expert algorithms.
Kesalahan Berbahasa Tataran Sintaksis Pada Penulisan Teks Eksplanasi Siswa Kelas XI

The purpose of this study was (1) to analyze the writing of explanatory texts, (2) to find out the sentence errors at the syntactic level of explanatory text writing for students of class XI vocational school. This type of research is qualitative research with a case study method. This type of research using the method is used by researchers to express sentence errors in essays of explanatory texts in class XI RPL 1 of Muhammadiyah Vocational School, Sukoharjo. The results of the study show that the explanatory text written by class XI RPL 1 students at SMK Muhammadiyah Sukoharjo still had a number of errors. The cause of the error is because there are several factors that cause errors, namely 10 sentences are non-standard structured sentences, 4 sentences are coherence, 12 sentences contain redundant words, 1 sentence is a non-logic sentence, 3 sentences are contaminated with foreign languages, 6 sentences are not clear, and 3 sentences there is an improper diction. It can be concluded that students still experience difficulties and errors in composing a text essay.
SYMMETRIC POLYNOMIALS AS ENRICHMENT OF HIGH SCHOOL MATHEMATICS TEACHING

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 6502-6505ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1554Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain