Reviewerly/exHarmony huggingface dataset:
A CONSULTA DE ENFERMAGEM AO PACIENTE COM DIABETES MELLITUS

Introduction: This study consists of an integrative review, with the goal of understanding is characterized as nursing supervision in the work published by VHL. Materials and Methods: We conducted an integrative review in the period 2002-2011, with the following key words to search the database: supervision in nursing; supervision in health; supervisory practices in nursing.Results and Discussion: 9 posts, divided the subjects of analysis were selected: Characterization of supervision, with 05 publications; Contribution to improving health care, with 02 papers; Systematization and supervision, with 02 articles.Conclusion: Given the discussed study, it is concluded that supervision in nursing is still very connected to control and does not use systematic tools consciously, although point features educational profile that aim to contribute to staff development.Additionally, faces difficulties by the dynamics of work overload and the lack of incentives to which nurses are inserted.
Data Structures, Objects, and Classes

Until now, we have used basic Python data structures, such as dictionaries, tuples, and lists. These are excellent ways of representing data, but they are also primitive, and it can get challenging to rely on only these if you need to work with complex data—or even with not so complex data.
Geophysical Signs of Placer Gold’s Sources in Kelbes-Zolotokitatsky Ore-Placer Cluster

Summary The paper presents the capabilities of the electrical resistivity tomography for determining the thickness of loose sediments and the topography of an alluvial placer bedrock. Particular attention pays to identifying induced polarization anomalies associated with zones of gold-sulfide mineralization in bedrocks. These zones are the primary sources of placer gold in the region.
Teaching Mathematics in English for Elementary Students of Asak Paroki MKK

Mathematics subject is considered difficult for most elementary students, especially when the subject is given in English. To be able to do math exercises in English, the students have to understand the math vocabulary and the concepts of math. The purpose of this community development program is to increase the elementary students’ ability in solving word math problems in English. The participants in this program are twenty elementary students who are included in ASAK Paroki MKK community. The program is created in the form of classroom teaching and activities. In this program, we teach them the basic concepts of math vocabulary, understanding the word problems and the solutions to the problems. We also use several related activities to make the lessons meaningful and comprehensible. The results show that the students are able to solve math problems in English correctly and confidently.
DIGITALIZED PEDAGOGICAL APPROACHES IN THE 21ST CENTURY: LESSONS FROM TEACHER EDUCATION DURING COVID-19 PANDEMIC

DIGITALIZED PEDAGOGICAL APPROACHES IN THE 21ST CENTURY: LESSONS FROM TEACHER EDUCATION DURING COVID-19 PANDEMIC
Planning to plan: a Bayesian model for optimizing the depth of decision tree search

Author(s): Kuperwajs, Ionatan; Ma, Wei Ji | Abstract: Planning, the process of evaluating the future consequences of actions, is typically formalized as search over a decision tree. This procedure increases expected rewards but is computationally expensive. Past attempts to understand how people mitigate the costs of planning have been guided by heuristics or the accumulation of prior experience, both of which are intractable in novel, high-complexity tasks. In this work, we propose a normative framework for optimizing the depth of tree search. Specifically, we model a metacognitive process via Bayesian inference to compute optimal planning depth. We show that our model makes sensible predictions over a range of parameters without relying on retrospection and that integrating past experiences into our model produces results that are consistent with the transition from goal-directed to habitual behavior over time and the uncertainty associated with prospective and retrospective estimates. Finally, we derive an online variant of our model that replicates these results.
THE DEVELOPMENT OF TECHNICAL AND TECHNOLOGICAL ACTIVITIES OF COMPUTER SCIENCE AND NATURAL SCIENCE TEACHERS IN THE CONTEXT OF DIGITALIZATION

Information about the paper titled "THE DEVELOPMENT OF TECHNICAL AND TECHNOLOGICAL ACTIVITIES OF COMPUTER SCIENCE AND NATURAL SCIENCE TEACHERS IN THE CONTEXT OF DIGITALIZATION" at IATED Digital Library
Abstractive Summarization Using Categorical Graph Network

The rapid development of technologies produce enormous amount of data which have lot of hidden insights. Extracting these hidden insights are challengeable for researchers and industrialists. Most of the data are in textual and unstructured format. Text mining is the prominent research area that has being utilized for the textual data analysis. Document summarization is an effective application which provides the summary of given content. This research work mainly focused on generating abstractive summarization from the multiple documents. It contributes abstractive summarization using the cate-gorical graph network. Lot of duplicate or redundant sentences are there in the multiple documents. Proposed CATSum, which is a graph based abstractive summarization technique that identifies the duplication based on the similarities of the sentences. The proposed technique used ALBERT encoder model to train the datasets. Then it has built the content summary based on the connection between the sentences. The proposed work is measured using the ROUGE-1, ROUGE-2 and ROUGE-L metrics and produced better accuracy than the baseline methods.
A probabilistic interpretation of the constant gain algorithm

This paper proposes a novel interpretation of the constant gain learning algorithm through a probabilistic setting with Bayesian updating. Such framework allows to understand the gain coefficient in terms of the probability of changes in the estimated quantity.
Tree-Structured Binary Neural Networks

Deep Neural Networks are resource-intensive learning models. To enable their training and deployment on low-end devices, decreasing their computational requirements has become an attractive research area in recent years. One of the most promising approaches in this field is designing networks which use only binary values for the network weights and activations, i.e., Binary Neural Networks (BNN). However, BNNs have robustness and stability issues, which make their training difficult and BNNs perform considerably worse than their real-valued counterparts. To improve the training and deployment performance of BNNs, in this work, we employ a tree-structured network model, which has been widely used in Deep Neural Networks (DNN). We perform experiments to analyze the accuracy, stability and robustness of the proposed tree-structured BNN model. Tree-structured network model integrates multiple classifiers on a backbone BNN resulting in a multi-branch architecture. Our experiments demonstrates that tree-structures model improves the accuracy, stability and robustness of BNNs.
The Regulation and Governance of Online Hate Speech in the Post-truth Era: A European Comparative Perspective

Europe is experiencing an intense dilemma in regulating hate speech and online harassment. The question in the European continent has shifted from whether there should be limits to freedom of expression to where these limits should be placed. The aim of this chapter is to explore the features of some of the approaches undertaken in Europe on online hate speech regulation within the broader digital ecosystem, through a comparison between a supra-national and a national example, the EU and Germany respectively in order to reflect on the broad directions on the regulation of online content moderation as connected to hate speech. To do so, the analysis first discusses the normative underpinnings of hate speech regulation placing emphasis briefly on the main applicable international legal standards on the issue and then on the (often) invoked concepts of autonomy and dignity as they relate to freedom of expression. It then proceeds with an overview of the current features in the governance of online hate speech, approaching two concrete challenges in the regulation of online hate speech, namely the use of Artificial Intelligence (AI) by Information Technology (IT) companies and the limits of the role of the states in online content regulation (digital authoritarianism). The second part of the article deals with the examples of the EU framework on online hate speech regulation as compared with the German one, in order to conclude arguing for the need for more regulatory imagination in combatting hate speech in the digital ecosystem that escapes the routine of shifting regulation to non-state actors, such as online intermediaries.
Evaluation of Diagnostic Performance of Immunochromatographic Rapid Card Test for Malarial Antigen against Peripheral Smear Microscopy: A Cross-sectional Study

Background: Malaria poses a major public health problem in India and has emerged as a biggest health burden in terms of morbidity and mortality. Rapid detection of malarial parasite can ensure the prompt timely and efficient management of clinical cases and control of the disease. In India Peripheral smear microscopy still exists as the most commonly employed method for diagnosing malaria. Objectives: To evaluate the diagnostic performance of Immunochromatographic Rapid Card Test (ICT) for malarial antigen against Peripheral smear microscopy for diagnosing Malaria. Materials and Methods: This Cross sectional study was conducted in Dept. of Microbiology of a Rural tertiary care teaching hospital of Western Uttar Pradesh from January 2016 to August 2016. Eight Hundred thirty seven patients with clinical suspicion of malaria whose samples were sent on advice by clinicians to the Microbiology laboratory for the peripheral smear microscopy and Rapid card test for malarial antigen were included in this study after obtaining clearance from Institutional Ethics committee. Results: Out of the 837 blood samples tested ,106 (12.66%) samples tested positive for malaria by Peripheral smear microscopy and 109(13%) by ICT Rapid card tests. The sensitivity of ICT for non-falciparum malaria came out to be 82.65% lower than that for falciparum malaria(87.5%). The specificity of ICT for non. falciparum malaria(98.9%) was almost same as for falciparum malaria (99.3%).The accuracy of ICT for falciparum malaria(99.16%) was slightly higher than for non-falciparum malaria(97%). Conclusion: This study suggests that ICT Rapid card test can not replace PS microscopy completely, but can be used as a complementary tool to microscopy, particularly in resource constrained remote rural areas of India.
LibGuides: Risk Management: Background Information

This guide is for the subject Risk Management. It contains resources available in the NCU Library.
A Research for the Usage Level of Management Information Systems By School Administrators

Denominated as the information age of today provided a better understanding of the value of the information day by day. The use of information technology in the globalization of the economy offers a serious competitive advantage to businesses. Even though it is foreseen to provide an economic superiority in the first place, the management information systems affect the structure and functioning of many different organizations in a positive aspect. In this context, the educational institutions that we may discuss can not be excluded. The sole aim of which is to train students in educational institutions in accordance with the objectives of the education system, the efficient use of management information systems certainly have a positive effect on this process. Decision-making processes of managers on management information systems and knowledge management provides great support to the school administrators. Management information systems in order to improve the quality of education and training in educational institutions are actively used captured that success can be said to constitute one of the pillars in the success of our young people who will shape our future. The universe of the study consists of the schools in the city centre of Diyarbakir. As the means of collecting data, questionnaire was used in the study. The data were obtained from the survey evaluated in the 18th version of Statistical Packages for the Social Sciences. Prepared for this purpose with this study of school administrators’, working in educational institutions, utilization levels and the scope of the management information systems in their institutions are discussed.
ISET Expert Panel Discussion Series 2020–2021

The Innovations and Special Education Technology Professional Development Committee would like to extend its appreciation to the following leaders in the field of Special Education. Each of the following individuals volunteered to speak during the 2020–2021 ISET Expert Panel Discussion series and shared expertise on a variety of pressing topics during remote instruction due to the COVID pandemic. The information sharing is a testament to their unwavering support for the members of ISET and all of the stakeholders involved in supporting individuals with disabilities.
Strategies Followed by Event Management Organization

Humans are the responsible for the development and improvement of the events and which growing with the development of humankind. These events are considered as a part of human culture, social environment of the society and environment of the business of mankind. The services for the events are provided by providers these are crucial, thus the programs can be explained. The event management systems that provide different kinds of facilities, that should be completely satisfied by the customers. The participants gratification were important for an event, which includes venue of the event, design, flow of the management system, volunteers to guide the different departments of the event and assessing the quality of different task, interaction of customers. Different kinds of customers should visit an organization, they will introduce a fresh events, so that they have to create a fresh event or to transform the actual event. To contribute feasible instruments two kinds of quantitative researches have been placed, for the communication of organization with stakeholders the primary quantitative research was placed. The secondary research was placed for participants in any kind of the program.
When Running Out of Imagination:Vicarious Learning as a Mechanism to Revitalize Unutilized Knowledge

This study examines conditions under which the focal firm is more likely to learn from other firms’ experience to leverage its unutilized knowledge. In doing so, we examine 2,688 U.S. pharmaceutical firms from 1979 to 2017 concerning how their propensity to explore or exploit influences the subsequent use of their own unutilized knowledge. We find that the focal firm with increased exploration orientation positively affects the spill-ins of its unutilized patents. Furthermore, knowledge similarity between the knowledge-originating firm and the recipient firm positively moderates this relationship.
조선족 대학(원)생의 언어 사용 및 경험에 기반한 정체성 연구 -바흐친의 이데올로기적 되어가기를 중심으로-

This study aims to show how to formate and negotiate their own identity based on the current state of language use and educational experience of the Korean-Chinese. For academic purposes, based on Bakhtin’s dialogism that devotes their Korean language learning and usage experience to Chinese Korean-Chinese college students who are studying and living in Korea for academic purposes, language learning is fundamentally social, starting from the point of view of the formation of identity and negotiation. Most of the participants in the study had a background of bilingualism, and in the process of completing their studies in Korea, they felt the difference between Korean and Chinese. It is a process that changes gradually. Therefore, in order to find out about the process, this study attempts to visualize the process of negotiation and formation by looking at the process of becoming ideological which constitutes participants ‘inner-persuasive discourse’ through the selective assimilation from their discourse. (Kyunghee University)
THE EFFECT OF MIND MAPPING TECHNIQUE ON STUDENTS’ ACHIEVEMENTIN WRITING ANALYTICAL EXPOSITION TEXT

The completion of this comparison aims to determine the effect of increasing student achievement in writing analytical exposition texts using the Mind Mapping technique and without the Mind Mapping technique. This comparative research is a qualitative research, which involves high school grade 3 students as the population of this comparison, these students who are students from Creativkids Medan. The result of this comparison is that the value of 67.53 is the value obtained using the Mind Mapping technique. Another thing that does not use the Mind Mapping technique gets a score of 63.5. This also causes if students who use the Mind Mapping technique get the t_obs of 3.43 points, which means that it increases more than t table 2.00. This has the effect that the alternative hypothesis (Ha) has been accepted and the null hypothesis (Ho) has been rejected. And this makes the reason for the increase in student achievement figures by using the Mind Mapping technique to write analytical analysis texts. So, it can be summarized that the Mind Mapping technique is very effective, appropriate, and easy to be applied by students who will create correct and directed analytical exposition text.
APLIKASI RESEP MASAKAN TRADISIONAL INDONESIA BERBASIS ANDROID

Indonesian people are very enthusiastic about the existence of culinary that varies in shape and type so that it has the attraction of someone to try it, in this day and age not only women who love to cook but men are also very much fond of making culinary with traditional recipes. Cooking a traditional culinary is very necessary knowledge about compounding recipes such as processing and formulating ingredients that will be used as food or culinary benefits for everyone, So it is necessary food recipes that can later help in the process of preparing cooking ingredients, how to make and how to render so as to produce an image of good taste, savory and nutritious. In this study, the aim is so that people, especially housewives, can use traditional Indonesian cuisine with android-based.  Software used in the development of this application is construct2 by using UML, this cooking recipe application is based on android so that it can be used on smartphones owned.
Experts Interpret Generalizations Differently Than Novices

Author(s): Coon, Jeff; Etz, Alexander; Scontras, Gregory; Sarnecka, Barbara W | Abstract: Generic statements, such as “mosquitoes fly” and “mosquitoes carry malaria,” are remarkable in that they are an intuitive and readily understood means of conveying knowledge, and yet their implied prevalence---the specific quantification they convey---can vary widely. This variability may lead to miscommunication, with speakers using generic statements flexibly and listeners rigidly interpreting them as implying near universal prevalence (Cimpian et al., 2010). However, recent research found that listeners with applicable prior knowledge interpret generic statements flexibly (Tessler a Goodman, 2019b). The evident importance of prior knowledge suggests that expertise may impact how people interpret generic statements. We investigated whether experts and novices systematically differ in the way they interpret generic statements, using the esport League of Legends as a cultural microcosm. As hypothesized, experts interpreted generic statements more flexibly than novices did, and novices tended to assume generic statements applied more broadly than experts did.
Enterprise Blockchain: An applications based comprehensive literature review

Blockchain application beyond cryptocurrencies is popularly known as enterprise blockchain (EBC). This paper evaluates the value-adding potential of EBC by analysing applications from a theoretical perspective and evaluating the current pilot projects and startups from a practice perspective. The extent of truthfulness in exceptional hype around EBC is examined. EBC applications are comprehensively reviewed for the manufacturing industry, service industry, and the government sector. Current EBC pilot projects and startups are analysed through an industry level classification framework. Practitioners need to closely follow the EBC pilot projects and full-scale adoption in their industry to remain competitive and sustain in the market. The review exposes practitioners to the industries and organisations aiming to gain the first-mover advantage in EBC adoption. Practitioners are informed about the cautionary approach to be exercised while deciding to adopt EBC. Marketers may gain insights into the relationship between the number of pilot projects and startups.
A Comparison of the Performance of Artificial Neural Network Algorithms in Facial Expression Recognition

The methods for identifying facial expressions are presented in this research. The goal of this paper is to present a texture-oriented method combined with dimensional reduction that can be used to train the Single-Layer Neural Network (SLN), Back Propagation Algorithm (BPA), and Cerebellar Model Articulation Controller (CMAC) for identifying facial expressions. The proposed methods are known as intelligent methods because they can account for variations in facial expressions and thus perform better for untrained facial expressions. Conventional methods have limitations in that face expressions must adhere to certain guidelines. Gabor wavelet is used in different angles to extract possible textures of the facial expression to achieve expression detection accuracy. The higher dimensions of the extracted texture features are further reduced by using Fisher's linear discriminant function to improve the proposed method's accuracy. For training the proposed algorithms, Fisher's linear discriminant function is employed to turn a higher-dimensional feature vector into a two-dimensional vector. Angry, disgust, happiness, sadness, surprise, and fear are some of the facial emotions that are used. The proposed algorithms are compared in terms of performance.