Reviewerly/exHarmony huggingface dataset:
Big health data: the new frontier for cardiovascular disease

Despite improvement in diagnosis and management, cardiovascular disease (CVD) is the leading cause of death and hospitalization throughout the world. The expansion of digital cardiology presents outstanding opportunities for clinicians, researchers, and health care administrators to improve outcomes and sustainability of health systems. Electronic big health data combining electronic health records (EHRs) from diverse individuals across a wide variety of platforms may provide a real-time solution to questions and problems relating to health. Very large population studies based on EHR are efficient and cost-effective, and offer an alternative to traditional research approaches. Indeed, digital cardiology can help researchers to enhance, diagnose, and manage CVD using dedicated algorithms that allow targeted and personalized CVD treatments
Epilogue

Midcentury electronic studios drove the development of high art music, but also fed back into the cultural sphere in many ways, proving consequential in scientific, architectural, and popular music domains. The phonetics–music collaborations, for instance, were carried even further in continuing phonetic, linguistic, and cognitive research in Cologne and beyond. The integrated serial designs of the WDR composers, and especially their optimistic utopian dreams, inspired architectural plans for a rebuilt German city that would coalesce around art-making spaces. In popular music spheres such as film sound and rock music, the avant-garde music of the WDR composers, as well as new electronic synthesizers, had significant impacts. These rich cross-pollinations are due in large part to the heterogeneous, laboratory-like structure of the WDR studio, a structure that was replicated in the electronic studios that sprung up in the United States, Asia, and Latin America. In summary, the WDR studio had far-reaching consequences that were both structural and aesthetic. Cultural wounds were exposed and salved as electronic music began to make progress in reclaiming wartime spaces, ideas, and technologies. The impacts of midcentury electronic music continue to reverberate today.
Evaluation of the Privacy Risks of Personal Health Identifiers and Quasi-Identifiers in a Distributed Research Network: Development and Validation Study (Preprint)

<sec> <title>BACKGROUND</title> Privacy should be protected in medical data that include patient information. A distributed research network (DRN) is one of the challenges in privacy protection and in the encouragement of multi-institutional clinical research. A DRN standardizes multi-institutional data into a common structure and terminology called a common data model (CDM), and it only shares analysis results. It is necessary to measure how a DRN protects patient information privacy even without sharing data in practice. </sec> <sec> <title>OBJECTIVE</title> This study aimed to quantify the privacy risk of a DRN by comparing different deidentification levels focusing on personal health identifiers (PHIs) and quasi-identifiers (QIs). </sec> <sec> <title>METHODS</title> We detected PHIs and QIs in an Observational Medical Outcomes Partnership (OMOP) CDM as threatening privacy, based on 18 Health Insurance Portability and Accountability Act of 1996 (HIPPA) identifiers and previous studies. To compare the privacy risk according to the different privacy policies, we generated limited and safe harbor data sets based on 16 PHIs and 12 QIs as threatening privacy from the Synthetic Public Use File 5 Percent (SynPUF5PCT) data set, which is a public data set of the OMOP CDM. With minimum cell size and equivalence class methods, we measured the privacy risk reduction with a trust differential gap obtained by comparing the two data sets. We also measured the gap in randomly sampled records from the two data sets to adjust the number of PHI or QI records. </sec> <sec> <title>RESULTS</title> The gaps averaged 31.448% and 73.798% for PHIs and QIs, respectively, with a minimum cell size of one, which represents a unique record in a data set. Among PHIs, the national provider identifier had the highest gap of 71.236% (71.244% and 0.007% in the limited and safe harbor data sets, respectively). The maximum size of the equivalence class, which has the largest size of an indistinguishable set of records, averaged 771. In 1000 random samples of PHIs, Device_exposure_start_date had the highest gap of 33.730% (87.705% and 53.975% in the data sets). Among QIs, Death had the highest gap of 99.212% (99.997% and 0.784% in the data sets). In 1000, 10,000, and 100,000 random samples of QIs, Device_treatment had the highest gaps of 12.980% (99.980% and 87.000% in the data sets), 60.118% (99.831% and 39.713%), and 93.597% (98.805% and 5.207%), respectively, and in 1 million random samples, Death had the highest gap of 99.063% (99.998% and 0.934% in the data sets). </sec> <sec> <title>CONCLUSIONS</title> In this study, we verified and quantified the privacy risk of PHIs and QIs in the DRN. Although this study used limited PHIs and QIs for verification, the privacy limitations found in this study could be used as a quality measurement index for deidentification of multi-institutional collaboration research, thereby increasing DRN safety. </sec>
EGYPT: Slow Growth, Fewer Jobs

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 57, Issue 4 p. 22967B-22968A Policy and Practice EGYPT: Slow Growth, Fewer Jobs First published: 07 June 2020 https://doi.org/10.1111/j.1467-6346.2020.09472.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume57, Issue4June 2020Pages 22967B-22968A RelatedInformation
Privacy Preserving Data Mining using Secure Multiparty Computation Based on Apriori and Fp-Tree Structure of Fp-Growth Algorithm

In this work, a method is proposed to deal with secure multiparty computation (SMC) based problems. The computation is done on the grocery dataset collected from three various grocery shops. The privacy is maintained by generating the rules based on FP-Tree algorithm under Association Rule Mining (ARM). Privacy and correctness are the important requirements of SMC. In privacy requirement, the things apart from necessary are not learned. This implies that only output will be learned by the parties. Each party must receive correct output to ensure the correctness. In this work, secure auction is done using SMC and frequent item sets are computed to perform the association rule mining. The most familiar FP-growth schemes have the short fallings like former space complexity and latter time complexity. The performance of the algorithms has been enhanced by using APFT algorithm which is a combined version of FP-tree structure of FP-growth algorithm and Apriori algorithm. The conditional and sub conditional patterns are not generated continuously in APFT. The speed of the APFT is high when compared to Apriori algorithm and FP-growth.The correlated items are included by modifying APFT and non-correlated item sets are shaped by using APFT. This modification is used for FP-tree optimization. From the frequent item set, the loosely associated items are removed by using this modification. The system implemented is clearly described and its performance is evaluated. The results confirmed that the proposed scheme is extremely effective.
An Effective Hybrid Algorithm for De-Speckling the Speckle Noise in SAR Images

Image Processing has emerged as an essential lookup domain in circuit branches for quite a few decades. SAR is a type of Radar. It is connected to pics of articles like scene. It applies e SAR receiving wide development to the target for acquiring better spatial resolution than what is got through customary beam-scanning radars. In digital image processing field, processing Synthetic Aperture Radar is unexpectedly gaining focus. Very similar to all image processing methods, issues such as edge detection, enhancement and noise reduction are vital lookup troubles in SAR images also. Of late, speckle noise has emerged as a massive issue. Because of its presence, the SAR Images are classified as robust and multiplicative noises. Effecting speckle noise reduction in Synthetic Aperture Radar photographs is pretty challenging. Synthetic Aperture radar and its description is used in the utility of Flood prediction mapping. In this paper we implemented a better methodology for de-speckling Synthetic Aperture Radar imagery by way of using Fuzzy Discontinuity adaptive Non neighborhood potential filter. Application of fuzzy strategy to Importance sampling unscented kalman filter produces better end result than compared with fuzzy frost filter and also the TMAV and ATMAV produces higher end result therefore it can be a satisfactory filter for de-speckling.
E-learning teacher digital competence: construct validation of a scale in times of pandemic

The exponential advance of technology is a determining aspect for teaching practice; Above all, now in the new conditions generated by the Covid-19 pandemic. Suddenly, teachers were forced to incorporate digital e-learning skills to ensure pedagogical processes that are effective in today’s virtual conditions. That is why the objective of the study is to carry out the construct validation of a scale to measure the digital competence of the e-learning teacher that is relevant for the pedagogical performance in the new conditions generated by the Covid-19 pandemic. This is an empirical study that has involved a series of statistical procedures applied from a sample of 91 teachers belonging to ten educational institutions of Regular Basic Education in Lima, Peru. Among the main results there is a reliability of the Cronbach’s Alpha of 0.956. Likewise, through confirmatory factor analysis, construct validity was guaranteed, demonstrating that the instrument would be suitable to be applied in future diagnoses.
Denoising: A Dual Domain Method

Image has an important role to play in our daily life. It has its applications from simple documentation to complicated surveillance and medical applications. In the area of image processing, denoising is one among the most studied areas. Many a times the captured image will be degraded. This can happen at the time of acquisition and/or transmission. Noise is one such degrading agent. The presence of noise will affect the performance of the applications like segmentation, recognition, object detection and medical as well as general applications. Hence denoising is a prerequisite in these applications. The proposed method utilizes both transform and spatial domains. Shrinkage technique is applied in wavelet domain and in spatial domain, non-local means is used. Simulation is conducted on standard test images. The tabulated results shows that, the proposed method performs comparatively better.
Set and String Problems

Sets and strings both represent collections of objects—the difference is whether order matters. Sets are groups of symbols whose order is assumed to carry no significance, while strings are defined by the sequence or arrangement of symbols.
Probability Distributions

In this chapter, we introduce random variables, different types of distributions, and related concepts. In the previous chapter, we explored probability spaces without much emphasis on numerical random values. However, when carrying out random experiments, there are almost always numerical values involved.
Text Manipulation

Text manipulation covers many built-in text manipulation functions to manipulate text stored in character vectors and in the new string type; common string applications include concatenating strings, removing white space, changing case, and comparing strings. Functions that allow one to find, replace, and separate strings are introduced. Creating custom strings with formatting is demonstrated; several examples include using custom strings in plot labels and input prompts. Converting between string and number types is shown. “Is” functions that return true or false for strings are also introduced.
Inferring the votes in a new political landscape. The case of the 2019 Spanish Presidential elections.

Abstract The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic domain and it also serves an appealing research topic. This article aims to predict the results of the 2019 Spanish Presidential election and the voting share of each candidate, using Tweeter. The method combines sentiment analysis and volume information and compares the performance of five Machine Learning algorithms. Several data scrutiny uncertainties arose that hindered the prediction of the outcome. Consequently, the method develops a political lexicon-based framework to measure the sentiments of online users. Indeed, an accurate understanding of the contextual content of the tweets posted was vital in this work. Our results correctly ranked the candidates and determined the winner by means of a better prediction of votes than official research institutes.
Correction: Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing

[This corrects the article DOI: 10.1371/journal.pone.0228175.].
TEACHING AND LEARNING ENGLISH FOR VISUALLY IMPAIRED STUDENTS: AN ETHNOGRAPHIC CASE STUDY

In this article we report an ethnographic case study of observing the teaching and learning of English at a school for visually impaired students in Bandar Lampung, Indonesia. Data collection included student and teacher interviews. It also covered class observation and used a social constructivist framework of disability. The study revealed that the students received inadequate modifications of instruction in foreign language learning. However, the students used a variety of resources with the screen reader technology such as Non Visual Desktop Access (NVDA) and Job Access with Speech (JAWS). These findings suggest that visually impaired students actually can have unique ways of learning foreign language supported by the assistive technology. These abilities should be acknowledged to obtain the perspectives of students who receive disability specific education. Moreover, the study might provide a further facet to the research especially on the importance of learning strategies in special education.
PROPOSAL PROYEK SITUS WEB BERBASIS SISTEM INFORMASI PEMERINTAHAN ELEKTRONIK (E-GOVERNMENT INFORMATION SYSTEM BASED WEBSITE)

Government Information System is an electronic information system regarding general data information about relevant government agencies that can be accessed freely via the internet. According to the 1945 Constitution, the Government is obliged to provide access to information regarding Regional Government in the form of development information or regional facilities and regional financial information. This is contained in Article 391 paragraph (1) of Law Number 23 of 2014 concerning Regional Government, and Minister of Home Affairs Regulation (Permendagri) Number 70 of 2019 concerning Regional Government Information Systems.
Teaching philosophy at a Technical University: the inconsistency of modern realities and possibility of digital methods

Examined are modern problems of teaching philosophy at a technical university. The author shows that there is a pronounced contradiction between the goals and the current conditions of teaching philosophy, which makes it difficult to fully realize the potential of philosophy as an academic discipline. The thesis is formulated that the use of teaching methods based on digital technologies can help to overcome this contradiction to a certain extent. The author gives examples of using digital methods from her own teaching practice and proves their effectiveness as additional methodological tools. The necessity of increasing the number of classroom hours devoted to the study of philosophy is also emphasized.
Mixed Reality and Automated Machinery

Abstract When reality is augmented with digital information, it is called Mixed Reality (MR). Machinery on factory floors are increasingly automated and system integrated. The potential to support machine operators of automated machinery with a mixed reality device is tremendous. This paper is sharing the takeaways from the collaboration of industrial design students, mechanical engineers and technical writers to investigate the innovation potential of applying mixed reality in a manufacturing environment. At the beginning of a the project two student groups analyzed, from a user-centered point of view, how an operator manages the operation of a tire bead manufacturing machine. Both production and maintenance related issues where documented. After the opportunity areas were defined, the teams envisioned future scenarios that illustrate an improved operator task flow with the integration of mixed reality technology. A head mounted display (HMD), the Microsoft HoloLens, was chosen to allow hands free operation. As part of the multidisciplinary teamwork, the technical limitations from the mechanical engineering point of view had to be communicated and understood as well as the current limitations regarding the software and hardware of the HMD device. This paper will describe the project path, the barriers that had to be overcome and the final mixed reality proposal that envisions how the human machine interaction will improve in the future. Further, general guidelines for augmented operation of automated and integrated machinery will be shared. Solving complex issues on a system level requires the communication and participation of the key stakeholders in a multidisciplinary context.
vector control of Induction machine using distributed delay neural flux observers

Vector control of induction motor, has gaineddominance due to the improvement of computing hardware and the extended use of induction motor beyond industrial uses such asthe electric vehicle, and automated medicalmachinery. The removal of the flux sensorsnecessitates the use of estimators to estimatethe flux of induction machine. This paper usethe artificial neural network to estimate theflux of the induction motor along the directand quadrature axis, and make it available forfeedback. Distributed delay neural networkswhich are more suited for time series problems is used in place of plain feed forwardneural networks.
Past, Present, and Future of Genome‐Wide Association Studies

CSA NewsVolume 66, Issue 6 p. 22-22 SOCIETY SCIENCE Past, Present, and Future of Genome-Wide Association Studies First published: 22 April 2021 https://doi.org/10.1002/csan.20465Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume66, Issue6June 2021Pages 22-22 RelatedInformation
WRITING SKILLS IN SMP USWATUN HASANAH, BURU DISTRICT

Reading is a process carried out and used by the reader to obtain a message, which the writer wants to convey through the media of written language. A process that demands that groups of words which are a unity be seen at a glance, and so that the meaning of individual words will be known. If this is not fulfilled, then the explicit and implicit message will not be captured or understood, and the reading process will not be carried out properly. A process that demands that groups of words that represent a group will be seen in a glance, and so that the meaning of individual words will be known. This study aims to describe the language skills of Uswatun Hasanah Middle School students in Buru Regency. The research location is in the Islamic boarding school of Uswatun hasanah Namlea. data and data sources namely students of class VII Uswatun hasanah. the method in this study is PTK or classroom action research. The results of the study showed that the language skills of the seventh grade junior high students were very prominent as evidenced by the assignment of language assignments, namely.
Character Arrays and Dynamic Memory

Character arrays – a.k.a. "character strings" or text – are important for many tasks. This chapter shows how to handle them and how to create those or other arrays when you don't know the size in advance. Along the way, we'll learn the standard library's character array functions the most effective way we can: by building them.
Traffic Light Timer Control Using Raspberry Pi

As time goes by and the development of the times is very rapid increase in the number of vehicle volumes is increasing from year to year, coupled with automotive manufacturers who release their products at prices below the standard. This of course can increase the volume of congestion which is the main problem, very heavy traffic causes more time wasted and consumes fuel. The solution offered to overcome the congestion problem is a Timer Traffic Light control system, which is a traffic management system on each road segment used to reduce congestion in traffic lights that occur in big cities today. For the future, this is very much needed, given the increasing number of vehicles queuing at the traffic light. In this study a controller model of Timer Traffic Light was created based on image processing with the Background Subtraction method using the Raspberry Pi. The Background Subtraction method is used to process images containing objects that have been captured on the highway using a camera, the images obtained can classify the condition of the road with parameters of empty, medium, and solid conditions. The images obtained are then forwarded to the Timer Traffic Light controller system with the hardware and software used in this study.
Spectral Imaging

In this chapter, we will look at how the broader spectral information from images can be used to identify and quantify materials. We will first learn about the physical principles of electromagnetic radiation in the visible to thermal range (Sect. 6.2) and how spectral images are acquired (Sect. 6.3). We will then learn how to store those images on a computer, and how to process the data (Sects. 6.4 and 6.5). The knowledge that we have acquired in these sections will then be put to use in several different exercises (Sect. 6.6).