Reviewerly/exHarmony huggingface dataset:
Produção científica do Instituto Nacional de Cardiologia: subsídios para formulação de política de repositório institucional

The purpose of this dissertation was to outline the scientific production of the researchers of the National Institute of Cardiology (INC), with the purpose of discussing subsidies for the formulation of policies for the respective institutional repository (IR). This institute, linked to the Ministry of Health, is a reference center in the promotion of cardiovascular health and is anchored in three axes: assistance, teaching and research, whose mission is to train professionals, develop and disseminate knowledge and technologies, with excellence in assistance, teaching and research, thus promoting the development of the Unified Health System (SUS). Mindful of its mission and embracing the Movement of Free Access to Scientific Information, the INC launched its IR in 2015, and today the challenge is to propose institutional policies for its strengthening. In this sense, the present research proposes to identify and analyze the bibliographic production of its professionals, more specifically, the complete articles published by its masters and doctors in scientific journals, having as source the CV Lattes. The data were compiled from the ScriptLattes tool, from which the titles and profile of the journals that host the nucleus of their productions were identified, trying to identify those of free access. The Ulrichs Global Serials Directory platform was used to search for detailed data on the 321 journals thus identified. For the analysis and categorization of the periodicals and later formulation of the profile of the researchers of the INC, the SHERPA / RoMEO system was used to identify the copyright and self-archival policies of the journals, and consequent authorizations that are given by them. Finally, the analysis of the production profile of the INC researchers, in the light of the institute's epistemic culture, allowed to indicate some subsidies for the formulation of a policy to strengthen the INC's IR.
Indicators of Open Access for universities.

This paper presents a first attempt to analyse Open Access integration at the institutional level. For this, we combine information from Unpaywall and the Leiden Ranking to offer basic OA indicators for universities. We calculate the overall number of Open Access publications for 930 universities worldwide. OA indicators are also disaggregated by green, gold and hybrid Open Access. We then explore differences between and within countries and offer a general ranking of universities based on the proportion of their output which is openly accessible.
The Effect Of Read, Imagine, Describe, Evaluate, And Repeat (Rider) Strategy On Students’ Reading Comprehension Of Narrative Text In The First Year Students’ At Senior High School

The aim of this research is to find the effectiveness of RIDER strategy on students’ reading comprehension which was observed and analyzed from in the first year students’ at SMA Muhammadiyah 18 Sunggal. The method applied in this research was the quantitative method with the experimental research design. The population of this research was the students of SMA Muhammadiyah 18 Sunggal. This research was conducted with two groups’ namely experimental group (30 students) and control group (30 students). Then the researcher taught in the experimental class by using RIDER strategy and in control class without using RIDER strategy. After treatment, the researcher gave the post-test to both classes. The scores of pre-test and post-test were collected from twenty multiple-choice questions, then it was analyzed. The analysis of requirement test used normality and homogeneity test, and analyzing data used t-test formula.After analyzing the data, the writer got; (1) the students’ achievement in reading comprehension by using RIDER strategy got the mean 76.666 and standard deviation is 9.767. (2) the students’ achievement in reading comprehension who were taught without using RIDER strategy got the mean 70.833 and standard deviation is 8.518, the value of “t” test is 5.225 and “t” table 1.671. So, the “t” test is higher that “t” table. So that, the alternative hypothesis (Ha) proposed is accepted and null (Ho) is rejected. It means there is significant of using RIDER strategy on the students’ achievement in reading comprehension based on the result of this research, the researcher suggest that RIDER strategy may be used as alternative media in teaching reading.
An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations, and Future Directions

In the current era of digitization, the worldwide healthcare service is a common practice; it enables the remote healthcare service with proper digits: diagnosis and medication. The main thread for the about service is the security confidentiality and integrity of personal information of a patient. Many techniques are followed for privacy preservation in image information with descriptive aspects; however, more such strategies need to analyze and devolve for better accuracy and performance. This paper has given a broad overview of deferment techniques, their performance, and some future directions for ROI preservation in medical images.
Multiple Regression Particle Swarm Optimization for Host Overload and Under-Load Detection

Detection of overloaded and under-loaded Host approaches in cloud computing play a vital role. Most of the recent studies use only one resource called CPU to determine the host’s load. In this paper, we propose anaccurate prediction model called Multiple Regression particle swarm optimization (MR-PSO) to detect resource utilization. MR-PSO uses two factors (a) CPU utilization and (b) memory utilization. This model Decreases energy consumption by enhancing the usage of the resources in data centers. The prediction model of the host load based on the Multiple Regression (MR) concept.  Particle swarm optimization (PSO) algorithm is presented to choose the higher and lower threshold borders for host utilization. Simulation by using the CloudSim tool show that MR-PSO decrease the Energy consumption by 7.61% and ESV by 1.5%   lowest than the previous studies when we use the same number of hosts, Virtual machines and tasks.
PEDAGOGICAL CONDITIONS FOR USING A COMPETENCE-ORIENTED APPROACH IN AN INDEPENDENT STUDY ORGANIZATION OF DEFECTOLOGY STUDENTS

Problem statement:The organization of an independent study of defectology students in high school on the basis of a competence-based approach gives an opportunity to promote a student`s personal advancement of career paths and the fostering of professionally significant qualities: intelligence, responsibility, creativity, communication, information culture, and self-education.Purpose of the study:1. To determine the motivational-value attitude of students to independent work through the development of their internal, external and procedural motivation.2. To study the status of professionally significant qualities of students-defectologists: intelligence, responsibility, creativity, communication, information culture, ability to self-education.Methods:Methods of empirical research are: observation, pedagogical experiment, comparison, description, diagnostics (questioning, interviewing, testing, survey, etc.); and statistical treatment of pedagogical experiment data.Results of the study:The pedagogical conditions for the organization of defectology students` independent study on the basis of a competence-based approach ensure the effectiveness of future specialists` professional training adhering to a set of pedagogical conditions: ensuring students` motivational-value attitude in relation to an independent study thanks to developing their internal, external and procedural motivation; training courses projection as a system of professionally oriented objectives, an attainment of which allows to provide a sustainable transition from the student’s training activities to the professional activities of a future specialist; methodological equipment for students` training activities self-organization taking full advantage of ICT potentials; ensuring a control over students` independent study based on monitoring of the process of a future specialist`s professional realization.References:[1] Baidenko, V. Kompetencii v professionalnom obrazovanii (K osvoeniyu kompetentnostnogo podhoda) / V. Baidenko // Vysshee obrazovanie v Rossii. - 2004. - № 11. - S. 3-13. [Baidenko, V. Competencies in vocational education (Towards the development of a competency-based approach). Baidenko // Higher education in Russia. - 2004. - No. 11. - S. 3-13.][2] ] Baidenko, V. Kompetencii v professionalnom obrazovanii (K osvoeniyu kompetentnostnogo podhoda) / V. Baidenko // Vysshee obrazovanie v Rossii. - 2004. - № 11. - S. 3-13. [ Baidenko, V. Competencies in vocational education (Towards the development of a competency-based approach). Baidenko // Higher education in Russia. - 2004. - No. 11. - S. 3-13.][3] Gaponov G.M. Samostoyatelnaya rabota studentov [Tekst] / G.M. Gaponov // Organizaciya samostoyatelnoi raboty studentov. – Voronezh: Izd. Voronezhskogo un-ta, 1969. - 123 с. [Gaponov, G.M. Students' independent study [Text] / G.M. Gaponov // Organization of an independent study of students. - Voronezh: Ed. Voronezhsky University, 1969 .-- 123 p.]
On Building Generalizable Learning Agents

Author(s): Wu, Yi | Advisor(s): Russell, Stuart | Abstract: It has been a long-standing goal in Artificial Intelligence (AI) to build machines that can solve tasks that humans can. Thanks to the recent rapid progress in data-driven methods, which train agents to solve tasks by learning from massive training data, there have been many successes in applying such learning approaches to handle and even solve a number of extremely challenging tasks, including image classification, language generation, robotics control, and several multi-player games. The key factor for all these data-driven successes is that the trained agents can generalize to test scenarios that are unseen during training. This generalization capability is the foundation for building any practical AI system. This thesis studies generalization, the fundamental challenge in AI, and proposes solutions to improve the generalization performances of learning agents in a variety of problems. We start by providing a formal formulation of the generalization problem in the context of reinforcement learning and proposing 4 principles within this formulation to guide the design of training techniques for improved generalization. We validate the effectiveness of our proposed principles by considering 4 different domains, from simple to complex, and developing domain-specific techniques following these principles. Particularly, we begin with the simplest domain, i.e., path-finding on graphs (Part I), and then consider visual navigation in a 3D world (Part II) and competition in complex multi-agent games (Part III), and lastly tackle some natural language processing tasks (Part IV). Empirical evidences demonstrate that the proposed principles can generally lead to much improved generalization performances in a wide range of problems.
Formation of Students' Independent Research Skills and Abilities in The Learning Process

The article explores the views of scholars who have conducted research on the issues of vocational training, student development, and career guidance. Proposals and recommendations on the development of students' independent research skills and abilities are developed in the course of training.&#x0D;
IMPACT OF THE USE OF DIGITAL EDUCATIONAL MATERIAL ON THE ATTENTION SPAN OF ELEMENTARY SCHOOL CHILDREN

N. Lara Nieto-Márquez1, A. Baldominos2, M.A. Pérez Nieto3 1Universidad Camilo José Cela (UCJC), Smile and Learn Digital Creations (SPAIN) 2Smile and Learn Digital Creations (SPAIN) 3Universidad Camilo José Cela (UCJC) (SPAIN)
Predicting How to Test Requirements: An Automated Approach.

An important task in requirements engineering is to identify and determine how to verify a requirement (e.g., by manual review, testing, or simulation; also called potential verification method). This information is required to effectively create test cases and verification plans for requirements. [Objective] In this paper, we propose an automatic approach to classify natural language requirements with respect to their potential verification methods (PVM). [Method] Our approach uses a convolutional neural network architecture to implement a multiclass and multilabel classifier that assigns probabilities to a predefined set of six possible verification methods, which we derived from an industrial guideline. Additionally, we implemented a backtracing approach to analyze and visualize the reasons for the network’s decisions. [Results] In a 10-fold cross validation on a set of about 27,000 industrial requirements, our approach achieved a macro averaged F1 score of 0.79 across all labels. For the classification into test or non-test, the approach achieves an even higher F1 score of 0.94. [Conclusions] The results show that our approach might help to increase the quality of requirements specifications with respect to the PVM attribute and guide engineers in effectively deriving test cases and verification plans.
Pragmatism eller narkotikaliberalism : En kvalitativ innehållsanalys av debatten om sprututbyte och skadelindring i svenska dagstidningar 2016–2018

The Swedish needle exchange debate was revived when regulations for opening new needle exchange facilities were lightened 2017. Needle exchange has been debated over ever since it was introduced in the mid 80’s. With the contemporary debate as a premise the aim of this study was to see if the arguments for and against needle exchange has changed. The chosen method for the study was a qualitative content analysis of articles in Swedish daily newspapers which debated the needle exchange program and harm reduction published during the years 2016-2018. The study found that the debate’s participants represents one of two discourses, the ones for harm-reduction and zero tolerance respectively. The debaters argued about the same things, needle exchange, harm-reduction and zero tolerance but seemed to assign different meaning to these concepts. Within either discourse is the opposite concept (harm-reduction or zero tolerance) referred to as doing more harm than help. The view of what is a humane, responsible care of the addicts and what is the right addiction care differ between the two discourses. Both the differences and the similarities between the two standpoints can be explained by the social constructionist idea that meaning of social concepts comes from the social and cultural context. The study concludes that a potentially antagonistic conflict in the debate impedes consensus. However, a shift, a hegemonic intervention, is seemingly imminent, the aforementioned legislative change in 2017 is such an example. (Less)
Research on Assessment of Highway Tunnel Operating Safety

Abstract The operating safety of highway tunnels is governed by a complex system of people-vehicle-tunnel-environment and influenced by many factors. Its assessment is complex and unique to the specific tunnel. In this paper we discuss the assessment of the operating safety of highway tunnels from three aspects of rating, risk evaluation and resiliency, and propose the concept of operating safety resiliency of highway tunnels. We also summarize prior research in these aspects and analyze advantages and disadvantages of each assessment method.
The effect of guided writing strategy on students’ achievement in writing narrative text at Madrasah Aliyah Laboratorium UIN-SU

This research was conducted to know the effect of applying the effect of guidedwriting strategy in learning English of Madrasah Laboratorium UIN SU Medan in theacademic year of 2018/2019. The population of this research was the class XI–MIA 1,XI-MIA 2 and XI-IS 1 and the samples of this research was taken from 25 students ofExperimental class (XI–IS 1) and 30 students of control class (XI-MIA 1).The researcher used a writing test to collect the data and the instrument forcollecting data was essay. The test consist of two types, namely pre-test and post-test.thedata were analized by using t-test formula. After analyzing the data, the result of theresearch showed that the value of t-observed was higher than the value of t-table (2,639)>(1.676) at the level significant of a =0.05 and at the degree of fredom (df) = 48. It can beconcluded that applying peer response technique has significant effect on studentsachievement in writing narrative text or in other words the alternative hypothesis (Ha)was accepted.
"End of semester tutoring @ CAS Writing Center" BU Libraries poster

These posters were created to encourage students to utilize resources available to them through BU Libraries, such as the CAS Writing Center.
The Semantic Sensor Network Ontology, Revamped.

The Semantic Sensor Network Ontology, popularly knownasSSN, was developed by an Incubator Group of the World Wide WebConsortium (W3C) over 2009 to 2011. Subsequently, the W3C and theOpen Geospatial Consortium (OGC) joined forces to update the SSNas informed by experience, to harmonize it with OGC’s OMobservationsin termsof what they measure and what values they find;systems(or networks)of sensors in terms of sensor components and how they are deployed;andreal-world objects(calledfeatures of interest, OGC-style) in terms oftheir physical properties, what can sense them, and what observations ofthem have been made. A few little-used SSN terms have been deprecated,and several others have been renamed. For a comprehensive descriptionof new SSN the reader is referred to the specification [10]. A full descrip-tion of the scope, design rationale and additions, with examples of itsapplication are presented in [11].
LibGuides: Electronic materials available for free during COVID-19: Home

Guide to electronic books, journal articles, streaming videos, and more, made available to researchers during the COVID-19 crisis period, from mid-March 2020 through April. See individual links for specific time periods covered, if specified.
Criteria for assessing the international cooperation of a higher educational institution

The article is devoted to an empirical study aimed at preparing effective criteria for assessing the international cooperation of a higher educational institution. As a result of this work, a relatively large number of different indicators are collected and summarized (monitoring), on the basis of which the management of a higher educational institution determines the ways and directions of future development. It is important to understand that a well-developed strategy still needs to be effectively implemented in everyday practice. In this regard, the main purpose of the prepared criteria is, first of all, the development and improvement of adequate indicators, providing objective control over the implementation of the development strategy of international cooperation of a higher educational institution. In modern conditions, this skill is a competitive advantage, as it is by its nature unique and difficult to copy. In the meantime, the use of intangible assets, in contrast to traditional tangible ones, requires the use of other assessment criteria, which highly actualizes the organization and conduct of appropriate empirical research. At the same time, these assessment criteria do not replace the very process of elaboration of a management strategy for the development of international cooperation, but serve only as a tool for its successful implementation, which makes it possible to put into practice the strategic plans of a higher educational institution in a project way, transforming them into the language of operational management.
A Novel Pedestrian Orientation Estimation Method for Autonomous Driving

Pedestrian orientation estimation is a vital component of autonomous driving system. The challenging factors for pedestrian orientation estimation include pose variations, fast motions, background clutters and crowded people flow. In this paper, we explore a novel pedestrian orientation estimation unified framework, which is based on a monocular camera. Firstly, pedestrian images are normalized to the same size, then extract histogram oriented gradient feature (HOG) which is one of the most effective image descriptor. In addition, we utilize structured Support Vector Machines (SVM) to generate binary classification result. Moreover, Error Correcting Output Coding (ECOC) framework combines with structured SVM to deal with multi-class classification problem. Finally, we conduct our approach on public pedestrian datasets and achieve competitive performance.
Categorização automática de conjuntos de dados de portais de dados abertos utilizando aprendizado de máquina supervisionado

To make their data available to society, city governments around the world are using open data portals. In most portals, datasets are broken down into categories that represent the topics covered by the portal. In this context, providing mechanisms to help categorize datasets becomes important to facilitate the work of an open data portal administrator. In this paper, we present a methodology for the automatic categorization of data sets from open data portals. In our methodology, we use the dataset name and its attached file attributes to infer its category, making use of natural language processing techniques and supervised machine learning
Design of College Students' Physical Health Monitoring System Based on Big Data Platform

In order to improve the ability of college students' physique health monitoring, this paper puts forward the method of college students' physique health monitoring based on big data platform, constructs the college students' physique health information collection model based on the multi-feature information sampling, integrates the collected college students' physique health information big data, extracts the association rule characteristic set of college students' physique health information, fits the college students' physique health statistics, extracts the fuzzy correlation fusion characteristic of the running state statistics, carries on the fuzzy fusion cluster processing to the college students' physique health statistics of comprehensive data, and realizes the college students' physique health monitoring under the Internet of things. The simulation results show that the method has good reliability and stability, and improves the ability of college students' physique health and stability.
Immersive storytelling project

Mount Gambier Library will bring virtual reality (VR) technology to local residents in aged care facilities as part of the Immersive Storytelling Project. It follows the South Australian (SA) Minister for Health and Wellbeing, Stephen Wade MLC, announcing that a $16,900 Age Friendly SA grant will support the roll out of the initiative, as one of eight successful projects.
Research Guides: Databases, Germs, and WiFi: Vendors Share the Love - From a Safe Distance: Databases & Periodicals

This is a listing of products and services that vendors have made available for free or expanded coverage due to many institutions moving their instruction online on short notice. These publishers have shared the love by making all or part of their electronic catalogs available.
Research Guides: Databases, Germs, and WiFi: Vendors Share the Love - From a Safe Distance: Home

This is a listing of products and services that vendors have made available for free or expanded coverage due to many institutions moving their instruction online on short notice.