Reviewerly/exHarmony huggingface dataset:
FINANCIAMENTO DA ATENÇÃO BÁSICA À SAÚDE: PERSPECTIVAS DA LITERATURA

Objective: Discuss the changes in funding for primary health care in Brazil from the literature Methodology: This is an integrative literature review carried out by selecting scientific articles published in journals indexed in the databases of the Scientific Electronic Library (SCIELO) , Virtual Health Library (VHL) and Google Scholar (GA), using the descriptors extracted from the DeCS: Primary care, health care financing, unified health system, public health.Only articles in Portuguese were selected between the years 2014 to 2020, with the search for data occurring from March to August 2020.Results and Discussions: The sample consisted of eleven studies, which demonstrated the main changes in legislation with the publication of ordinances 2,436 and 3,392 in 2017 and with them possible advances and / or setbacks.These ordinances describe how the AB work process and financing in Brazil should take place.Final Considerations: Considering the changes listed in PNAB / 2017, positive and negative opinions can be observed, the main ones being linked to financing issues, availability of professional adequacy and working hours, which sometimes do not have viable resolution in face of the population / national reality from the country.
Quality of Experience Inference and Prediction for Real-Time Communication

Quality of Experience refers to the degree of delight or annoyance perceived by the user of an application or service. The purpose of this thesis is to leverage QoS measurements collected in the network to model and predict the QoE in the context of real-time communication applications. This case study focuses on video QoE and uses Cisco WebEx as real-time multiparty conference system. Experiments are conducted in different scenarios, using both active and passive measurements, and the QoS information extracted from the traffic captures are fed to machine learning algorithms to infer the QoS/QoE relationship and make QoE predictions starting from QoS features. While the majority of previous work focuses on QoE extraction at the application and at the client (often mobile), leaving the underlying network with no/limited visibility about QoE behavior, this thesis considers multiple monitoring points. This is beneficial since an intermediate network node could then use the QoE information learned to optimize its behavior and drive traffic management decisions. The obtained results give a better understanding of the QoS/QoE relationship and show that the modeling conducted further from the client can lead to reduced yet interesting knowledge.
Digital Marketing Contribution On Performance Of Commercial Banks In Rwanda: A Case Study Of Bank Of Kigali

The study assesses the digital market contribution on performance of commercial banks in Rwanda.This study employed a descriptive cross-sectional survey design where it was used to gather information on a population of 10 customers and 23 employees at a single point in time. The sample size was included by 10 staffs in sales department and 23 employees of marketing department from BK. The application of digital marketing helps in reducing marketing cost against traditional marketing in commercial banks in Rwanda where 30.0% in BK said that digital marketing reduces the cost at a very high level; while 70.0% respondents in BK said that digital marketing reduce the cost of marketing for Bank at a very high level.In a nutshell, according to the findings there is significant contribution of digital marketing on performance of commercial banks in Rwanda and Bank of Kigali in particular. As recommendation, the commercial banks in Rwanda should invest in digital platforms so as to be in a position to take full advantage of the digital marketing potential.
Volume and patterns of toxicity in social media conversations during the COVID-19 pandemic

In this RISJ Factsheet we assess the volume and patterns of toxic conversations on social media during the COVID-19 pandemic. We specifically analyse worldwide conversations on Twitter targeting the World Health Organization (WHO), a central actor during the pandemic. Our analyses are based on a filtered a dataset of 327.5 million tweets including COVID-19 related terms from January to April 2020, from which we obtained a final sub-subset of 222,774 tweets mentioning the WHO. Using a machine learning approach, we found that toxic messages amount to 21% of the overall conversation touching on the COVID-19 pandemic and the role of WHO on the crisis. The volume of toxicity increases after 26 March when many countries were facing the growing adverse effects of the pandemic and passing tightened measures to confine their populations. Our analysis contributes to the current research on the health of online debates amid the increasing role of social media as critical entrance to information and mediator of public opinion building.
Use of OPAC As A Means Of Refinding Information On STMIK Pelita Nusantara Library: Use of OPAC As A Means Of Refinding Information On STMIK Pelita Nusantara Library

The development of Information Technology (IT) which is so fast lately, has an impact on services in the library. Library is an institution that plays a role in collecting, processing and distributing information which prioritizes search engines as a means of retrieving information. The rapid development of technology has made us co-exist with information technology itself. Now many library users have started to abandon the manual method of searching for information that takes a long time in the search process, and switch to using the Information Retrieval System that is on the network. Catalogs for some people are obsolete objects that are rarely used for information retrieval, but along with technological developments, online catalogs are now available that can be accessed via electronic devices, such as computers or smartphones called OPAC (Online Public Access Catalog). The impact is if there is no information retrieval system (OPAC), then searching for documents in the library will be more difficult because users have to browse directly to the shelf without first searching the OPAC. The Library of STMIK Pelita Nusantara is one of the higher education libraries in Medan, where the library information data collection is still manual, namely library users who come, often directly looking for collections on the shelf, or by asking library staff for help to find the desired book. From the background of the problem above, the writer is interested in taking the title of research on the Use of OPAC as a Means of Retrieving Information in the Library of STMIK Pelita Nusantara.
THE ESTIMATION OF MATURITY LEVEL OF COGNITIVE UNIVERSAL LEARNING ACTIVITIES OF THE 7-9 GRADES’ STUDENTS AT THE MATHEMATICS LESSONS IN THE CONDITIONS OF TWO-SUBJECT MONITORING

The necessity to perform diagnostic procedures within the contemporary process of teaching mathematics is caused by the importance of timely obtaining of the information on the current maturity level of the subject, meta-subject, and personal learning outcomes of students. The task is to choose an assessment technique adequate in educational trends and scientifically grounded. The authors propose to solve the issue of estimation of cognitive universal activities of the 7-9 grades’ students at the mathematics lessons in the conditions of two-subject monitoring. The paper shows that cognitive universal learning activities are a dynamic and important newly formed structure of a person depending on the age peculiarities in the formation process and should be considered in the maturity level assessment. The authors propose and substantiate the structure and step-by-step composition of the cognitive universal learning activities, which allow demonstrating them in a diagnosable view. It made it possible to identify and characterize the maturity level and criteria of the considered learning activities, assessment stages and procedures, and diagnostic tools. The paper presents the author’s conceptual model to assess cognitive universal learning activities when teaching mathematics, which demonstrates the important characteristic of the assessment process – a nonlinear nature. The research resulted in the identification of a specific principle of the assessment of cognitive universal learning activities – a two-subject principle. The implementation of this principle makes it possible to use the subject material to determine the maturity level of both the subject and meta-subject learning results. The authors describe the diagnostic tools, present the diagnostics process chart, the system of assessing certain tasks and give an example of typical assignments on the Equations topic of Algebra course for 7th grade.
Constraint-Based Learning for Continuous-Time Bayesian Networks.

Dynamic Bayesian networks have been well explored in the literature as discrete-time models; however, their continuous-time extensions have seen comparatively little attention. In this paper, we propose the first constraint-based algorithm for learning the structure of continuous-time Bayesian networks. We discuss the different statistical tests and the underlying hypotheses used by our proposal to establish conditional independence. Finally, we validate its performance using synthetic data, and discuss its strengths and limitations. We find that score-based is more accurate in learning networks with binary variables, while our constraint-based approach is more accurate with variables assuming more than two values. However, more experiments are needed for confirmation.
AWESSOME: An Unsupervised Sentiment Intensity Scoring Framework Using Neural Word Embeddings

Sentiment analysis (SA) is the key element for a variety of opinion and attitude mining tasks. While various unsupervised SA tools already exist, a central problem is that they are lexicon-based where the lexicons used are limited, leading to a vocabulary mismatch. In this paper, we present an unsupervised word embedding-based sentiment scoring framework for sentiment intensity scoring (SIS). The framework generalizes and combines past works so that pre-existing lexicons (e.g. VADER, LabMT) and word embeddings (e.g. BERT, RoBERTa) can be used to address this problem, with no require training, and while providing fine grained SIS of words and phrases. The framework is scalable and extensible, so that custom lexicons or word embeddings can be used to core methods, and to even create new corpus specific lexicons without the need for extensive supervised learning and retraining. The Python 3 toolkit is open source, freely available from GitHub ( https://github.com/cumulative-revelations/awessome ) and can be directly installed via pip install awessome.
Applying an Adaptation of the Prado Project Management Maturity Model in an Academic Context

The organization’s strategy of a company is determinant in its performance. The need to develop methodologies to evaluate the performance of projects in organizations has a strong contribution to the development of maturity models. The lack of knowledge of these maturity models causes organizations to experience problems in the development and improvement of their project management processes. The main objective of this article is to adapt and apply a maturity model to assess the evolution of the maturity of project management practices in development teams in an academic environment. The Prado Project Management Maturity Model was applied to the project teams of the curricular subjects Development of Computer Applications of the second academic year and Information Systems and Technologies Project of the fourth academic year of the Integrated Masters in Engineering and Management of Information Systems course at the University of Minho. Through the application of the model, it was possible to compare the maturity between the two curricular units and to verify the effectiveness of the learning methods and strategies, and results in project management competencies throughout the course.
Article 4(13). Genetic data

Abstract Article 4(1) (Definition of ‘personal data’) (see too recital 26); Article 4(15) (Definition of ‘data concerning health’) (see also recital 35); Article 4(16) (Definition of ‘biometric data’) (see too recital 51); Article 9(1) (Processing of special categories of personal data) (see also recital 53); Article 22(4) (Automated individual decision-making, including profiling) (see also recital 71); Article 35(3)(b) (Data protection impact assessment) (see too recital 91).
Optimal state transfer and entanglement generation in power-law interacting systems

We present an optimal protocol for encoding an unknown qubit state into a multiqubit Greenberger-Horne-Zeilinger-like state and, consequently, transferring quantum information in large systems exhibiting power-law ($1/r^\alpha$) interactions. For all power-law exponents $\alpha$ between $d$ and $2d+1$, where $d$ is the dimension of the system, the protocol yields a polynomial speedup for $\alpha>2d$ and a superpolynomial speedup for $\alpha\leq 2d$, compared to the state of the art. For all $\alpha>d$, the protocol saturates the Lieb-Robinson bounds (up to subpolynomial corrections), thereby establishing the optimality of the protocol and the tightness of the bounds in this regime. The protocol has a wide range of applications, including in quantum sensing, quantum computing, and preparation of topologically ordered states. In addition, the protocol provides a lower bound on the gate count in digital simulations of power-law interacting systems.
Intuitive wayfinding as an approach to research design

The purpose of this phenomenological inquiry was to understand the way analytical thinkers use intuition and wayfinding under the conditions of uncertainty. The plan was to explore this phenomenon through interviewing software engineers and financial analysts. The methodological approach seemed straightforward: look to established design and methods for a qualitative phenomenological inquiry, and make use of the Handbook of Research Methods on Intuition (Sinclair, 2014). However, in the process of research indirection (Dorfler et al., 2018), and due to the global pandemic, things took a different turn. This paper describes the emergence of intuitive wayfinding (Bas and Sinclair, 2018) as a distinct research design resulting from the journey of research indirection. Intuitive wayfinding as a research design is rooted in researcher's own intuition (Dorfler and Eden, 2014), and incorporates intuition-based inquiry (Akinci and Sadler-Smith, 2020). This research design allows for the inquiry to continue morphing throughout the research process, with the right research questions surfacing only when the answers to them are almost attained. In our case, a model for the phenomena of intuiting arose during literature review; COVID-19 pandemic presented an opportunity for a short-term longitudinal study by exploring accounts of medics resorting to wayfinding.
한국어 학습자의 음운규칙 습득에 영향을 미치는 요인에 대한 연구

The purpose of this study is to investigate to what extent the difficulty level of phonological rules, phonological acquisition, recognition of phonological rules and vocabulary familiarity correlate with the acquisition of phonological rules for Korean language learners. A total of 24 subjects, comprised equally of Japanese and Taiwanese learners (6 beginner and 6 intermediate learners for each nationality), were used in the study. The subjects were asked to read 58 sentences containing vocabulary that required learners to apply phonological rules, as well as vocabulary that is in the same phonological environment as the pronounced form after phonological rules are applied. Lastly, the correlation between the recognition of phonological rules and the application of those rules was studied through a recognition experiment. The results of the experiment suggest that both the difficulty level of phonological rules and vocabulary familiarity have a high correlation with phonological rule acquisition, while phonological acquisition and the recognition of phonological rules show little correlation to phonological rule acquisition, in the process of non-native speakers acquiring Korean phonological rules. (University of Seoul)
A Study on the Improvement System of National COUNTER-INTELLIGENCE Activities

Purpose: Counter-intelligence means any act in response to hostile foreign intelligence activities. Since the activities of intelligence agencies inherently recognize security as the greatest virtue, it was not easy to ap-proach it in the academic field. However, the global information environment is changing rapidly. In the tradi-tional concept of espionage, espionage was carried out mainly in the political and military areas, but in com-prehensive security situations, information collection on various forms can take place, requiring a flexible strat-egy. Method: However, despite the fact that anti-spy operations can directly be involved in infringement of the basic rights of the people, the fact that minimal ground rules exist is a problem that requires improvement in terms of the rule of law of information activities. Furthermore, the problem of this study is that even assuming the objective consideration that anti-spy work is necessary to guarantee basic rights of the people, and that it is not appropriate to impose public and judicial control such as investigation procedures, it is unfortunately not. In response, this study proposed improvements to prevent concerns about infringement of the basic rights of the people by guaranteeing practical anti-spy work in a changing environment. Result: The first is the expansion of the concept and scope of the anti-spy. In other words, if the Framework Act on Anti-Spy is enacted, the concept of anti-spy should be set as an active and active anti-spy concept, not a passive or passive anti-spy concept, to diversify anti-spy operations and respond to both traditional and non-traditional threats. In addition, the government proposed the expansion of spy agencies to cope with the diver-sification of security threats due to changes in the information environment. Second, he pointed out existing problems and made some forward-looking suggestions regarding the smooth performance of anti-spy operations. The most important confirmation here is the stipulation of the means of collection and verification of anti-spy information. The method of collecting anti-spy intelligence can be distin-guished in legal and realistic ways, and the factual methods such as collecting human information, technical information, and public source information are problematic. Conclusion: In particular, legal grounds and reliability, such as undercovering the identity or operating an in-formant, are problematic in the intelligence officer s performance of specific espionage tasks. In order to dispel this, it was confirmed that there is a need for evidence that the staff of the spy agency can impersonate their identity in specific tasks, and a legal basis that the spy agency can operate a cooperative.
OPTIMALISASI ANALISIS DATA REKAM MEDIS ELEKTRONIK MENGGUNAKAN BUSINESS INTELLIGENCE DI RUMAH SAKIT JAKARTA CEMPAKA PUTIH

At present, the ease of access to health services has an influence on the number of visits to health facilities, one of which is Jakarta Cempaka Putih Islamic Hospital. An increasing number of visits makes the patient’s medical recorddata also increase and result in big data, known as big data. The number of outpatient visits to the Jakarta CempakaPutih Islamic Hospital in 2018 has reached 147,232 patients from Jakarta, Bogor, Depok, Tangerang and Bekasi(JABODETABEK). For processing big data, we need a big data processing model using Business Intelligence (BI).This technology can facilitate the processing and presentation of data in a short time and produces an output in theform of a dashboard that can display all information in one window. In order to be quick to making decisions aboutservices, given the lots of visits a fast process is needed so that services are not hampered. This type of researchis action research by referring to the business intelligence roadmap. The analysis techniques in this study aremultidimensional analysis, exploratory analysis, and trend analysis. The results of the study show are dashboardsneeded, which are the patient distribution map, age, gender, polyclinic, diagnosis, method of payment, origin ofreferrals and patient visit trends, and interpret the dashboard into information
THE IMPACT OF TECHNOLOGICAL DEVELOPMENT ON LEGAL RULES: A CASE STUDY OF JORDAN

The widespread use of technological means to exchange information has become a major alternative to traditional means, as technology has become one of the basic requirements for managing all day-to-day matters for individuals and institutions in both the government and private sectors alike. At the same time, the use of technology is surrounded by many risks, as information and communication technology systems and networks are exposed to various types of illegal acts, and can also be used to commit unlawful acts, which has raised the need to meet safety requirements and to combat these acts legally .Accordingly, the technological development clearly influenced the legal rules at the international and national level. At the international level, the United Nations General Assembly established a committee called the United Nations Commission on International Trade Law (UNCITRAL), which plays an important role in improving the legal framework for international trade. Jordan has also been affected, where new laws have been enacted and existing laws have been amended to suite this development. Using the doctrinal approach, this study examines how the Jordanian legislator has dealt with the new situation brought by technological development. The study concluded that the Jordanian legislator has taken important steps in amending some relevant laws to suit this development, including the Securities Law, the Evidence Law and the Civil Procedure Law. It has also enacted a special law on electronic transactions and another law on Cybercrime. Despite these efforts, there is a need to develop and enact new, mosre specialized laws to meet the new reality dictated by technology. Therefore, the study recommends the enactment of new laws, such as electronic commerce law, electronic government law, and electronic evidence law.
LibGuides: Professional Development: Universal Class: Recreation

Guide for professional development found through library databases. This page will list courses that we indicated for recreation or hobby purposes
AI as DJ: Artificial Intelligence as the Arbiter of Musical Taste in Digital Media Platforms and the Cultural Continuum

Technological developments in digital sharing platforms encourage transient sensory experiences driven by choices that are determined by algorithms. Playing an increasingly greater role in driving cultural trends, artificial intelligence is impacting the medium of music, its curation, and culture as a representation of the human narrative.