Reviewerly/exHarmony huggingface dataset:
Constituency Parser for Clinical Narratives using NLP

Clinical parsing is useful in medical domain .Clinical narratives are difficult to understand as it is in unstructured format .Medical Natural language processing systems are used to make these clinical narratives in readable format. Clinical Parser is the combination of natural language processing and medical lexicon .For making clinical narrative understandable parsing technique is used .In this paper we are discussing about constituency parser for clinical narratives, which is based on phrase structured grammar. This parser convert unstructured clinical narratives into structured report. This paper focus on clinical sentences which is in unstructured format after parsing convert into structured format. For each sentence recall ,precision and bracketing f- measure are calculated .
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Analysis of solutions for the functional and planning development of libraries of higher educational institutions

The article deals with problems and open questions concerning the organization of library design. Today, the problem of organizing library spaces, both separate and inside educational buildings, comes to the fore. A design strategy can help turn a library into an attractive, creative and trendy place, create an open, comfortable, modern space that allows you to get the necessary information or service as quickly as possible. The article considers several striking examples of foreign and domestic practice of designing library buildings that have managed to find their own format in the modern world, but have not lost their orientation to knowledge.
Pembuatan Aplikasi Peminjaman Berkas Rekam Medik Berbasis Web di RSUP Klaten

Medical records according to Permenkes No. 269 of 2008 is a file containing notes and documents about patient identity. The problem that often arises in Klaten General Hospital is the length of the file search process due to the absence of applications that control the entry and exit of files, when officers borrow and return only to write in the control book. Supporting all the problems and objectives needed by the data, so the data collection methods used are observation and interviews. Analysis of the data obtained from the interview and observation process is to draw conclusions and identify the most urgent problems. The goal to solve this problem is to make an application that controls the borrowing and return of the RM file so that the officer knows quickly where the file will be sought. The application is made using the waterfall method in the workflow process and uses several programming languages such as PHP, HTML and CSS. The results of the application have been tested by several users using blackbok testing, but still do not know how effective and efficient when the application is tested in actual service.
The HealthChain Blockchain for Electronic Health Records: Development Study (Preprint)

<sec> <title>BACKGROUND</title> Health care professionals are required to maintain accurate health records of patients. Furthermore, these records should be shared across different health care organizations for professionals to have a complete review of medical history and avoid missing important information. Nowadays, health care providers use electronic health records (EHRs) as a key to the implementation of these goals and delivery of quality care. However, there are technical and legal hurdles that prevent the adoption of these systems, such as concerns about performance and privacy issues. </sec> <sec> <title>OBJECTIVE</title> This study aimed to build and evaluate an experimental blockchain for EHRs, named HealthChain, which overcomes the disadvantages of traditional EHR systems. </sec> <sec> <title>METHODS</title> HealthChain is built based on consortium blockchain technology. Specifically, three organizations, namely hospitals, insurance providers, and governmental agencies, form a consortium that operates under a governance model, which enforces the business logic agreed by all participants. Every peer node hosts an instance of the distributed ledger consisting of EHRs and an instance of chaincode regulating the permissions of participants. Designated orderers establish consensus on the order of EHRs and then disseminate blocks to peers. </sec> <sec> <title>RESULTS</title> HealthChain achieves functional and nonfunctional requirements. It can store EHRs in a distributed ledger and share them among different participants. Moreover, it demonstrates superior features, such as privacy preservation, security, and high throughput. These are the main reasons why HealthChain is proposed. </sec> <sec> <title>CONCLUSIONS</title> Consortium blockchain technology can help to build new EHR systems and solve the problems that prevent the adoption of traditional systems. </sec>
THE IMPORTANCE OF SCIENTIFIC RESEARCH FOR THE DEVELOPMENT OF HIGHER EDUCATIONAL INSTITUTIONS

The article analyzes the role and importance of scientific research in higher educational institutions, identifies the main tasks, functions of science and the main stages of development of scientific research, taking into account the requirements of the development of modern society.&#x0D; By research we mean the search of the new knowledge, a systematic investigation to establish the facts or the process of learning something. The purpose of scientific research is definition of a specific object and comprehensive, reliable study of its structure, characteristics, relationships based on the principles and methods of cognition developed in science, as well as obtaining useful results for human activity, introduction into production with the subsequent effect. Creating new technical tools and increasing requirements for existing ones, the emergence of new methods for solving technical problems call for a revision of the methods of studying and creating systematization, which allows accelerating the timing of the introduction of new technical solutions into the production process and making it more efficient, improving the qualification level of specialists.&#x0D; Thus, the functioning and development of countries is impossible without scientific research, the platform for which is higher education institutions, and the growth of the social product depends on scientific research. Scientific researchers have an exceptional significance for the development of all directions of higher educational institutions: education of specialists with high quality of training, formation of scientific schools, give prospects for effective use of scientific potential for the development of science itself, creation of new technologies and improvement of existing ones, facilitate the establishment and deepening of international scientific and educational relations, promote the development of international competitiveness, provide an opportunity to invent the latest technologies.
Sistem Pakar Diagnosa Penyakit Kista Ovarium dengan Metode Forward Chaining

Ovarian cyst disease can only attack women after 25 years old of age and above the lack of public knowledge about the symptoms of ovarian cyst disease is the problem, therefore the authors make an expert system diagnosing ovarian cyst disease with a forward chaining method where patients consults with how to answer a number of questions related to the symptoms of an ovarian cyst and the patients answers questions according to the symptoms felt by the patient. This expert system is created using the PHP programming language and MYSQL database. It is expected that with an expert system of diagnosing ovarian cyst disease, later it can facilitate patients in consulting about his ovarian cyst disease and can increase knowledge for the patient
An Efficient R-Apriori Algorithm for Frequent Item set Mining in Python

The mining of affiliation rules remains a well-enjoyed and successful procedure for getting critical data from monstrous data sets. It attempts to look out feasible connections between things in monstrous data sets upheld exchanges. Visit examples ought to be created to frame these affiliations. The "R-APRIORI" standard and its arrangement of improved variations, that were one in all the soonest visit design age calculations arranged, remain a most well known option because of their easy to execute and parallel to the common inclination. despite the fact that there are a few conservative single-machine methodologies for Apriori, the huge amount of data by and by open so much surpasses the capacity of 1 machine. In this way, it's important to scale over numerous machines to satisfy the regularly developing requests of this data. Guide cut back could be a well-loved distributable adaptation to non-critical failure structure. Be that as it may, genuine circle I/O in each Map cut back activity obstructs the efficient usage unvaried Map cut back information handling calculations like Apriori Platforms. An as of late arranged distributable data stream stage Sparkle beats the Map cut back I/O circle bottlenecks. Shimmer so gives an ideal stage to circulation Apriori. In any case, the principal computationally costly errand inside the execution of Apriori is to thought of applicant sets with everysingle possible go after singleton visit things and to check each match with each managing record. Here we tend to propose a spic and span approach that drastically decreases this methodology multifaceted nature by dispensing with the progression of creating applicants and maintaining a strategic distance from costly examinations. We stock out in– profundity trials to discover the power and quantifiability of our methodology. Our investigations demonstrate that our methodology commonly beats Sparkle'sexemplary Apriori and dynamic for different data sets.
Implementation of AES for Encryption in Vertex- 3 of FPGA Environment for Security

Data transmission with protection is main concept which is getting demand now a days for which number of encryption of data techniques are developed and now in this paper Advanced Encryption Standard (AES) Algorithm is used and is implemented on FPGA kit using vertex-3 family. We use 128 bits consists of input, key data, output data for this design. It is called an iterative looping with replacement box, key, loop in this design for both encryption and decryption of data. We use Xilinx software platform for simulation of our design that is AES by which area utilization and throughput is increased for achieving low power consumption, high data security, reduced latency and easy architectural design. This data operation is applicable in many areas.
NIDIT: Workshop on Novel Input Devices and Interaction Techniques

Virtual reality has finally become a mainstream technology. Recent advances in commercial VR hardware have led to high-resolution, ergonomic, — and critically — low cost head-mounted displays. Advances in commercial input devices and interaction techniques have arguably not kept pace with advances in displays. For instance, most HMDs include a tracked input device: “wands” that are not dissimilar to the earliest examples of 3D controllers used in the VR systems of the 1980s. Interaction in commercial VR systems has similarly lagged; despite many advances in 3D interaction in the past three decades of VR research, interaction in commercial systems largely relies on classical techniques like the virtual hand, or raycasting. This full-day workshop will bring together researchers and industry practitioners to discuss and experience the future of input devices for VR, AR, and 3D User Interfaces, and help chart a course for the future of 3D interaction techniques. In addition to a presentation at the workshop, authors of all accepted submissions will be strongly encouraged to demonstrate their novel input device and interaction techniques in an interactive demo format following presentations.
Quantitative Cooperation Analysis among Cross-chain Smart Contracts

&lt;div&gt;In cross-chain scenarios, there are different blockchains, which need to cooperate. Cooperation among different blockchains is done by smart contracts that work together to complete cross-chain tasks. When numerous cooperative smart contracts are involved, smart contracts form a complex interaction network, which makes it difficult to evaluate the cooperation. It needs a common model to quantitatively analyze the cross-chain cooperation of associated smart contracts. In this paper, we model the cooperation among smart contracts as conditions and their corresponding actions, the condition-trigger model. Then we propose the method to calculate the cooperation probabilities by the graph weight. As the edge weight lacks the information of interaction probabilities, we introduce the dimension of the edge weight to calculate the probabilities. Finally, we verify the proposed condition-trigger model and its different types. It demonstrates that our proposed methods can effectively analyze the cross-chain cooperation among smart contracts.&lt;/div&gt;
Why Cloud?

Now that we have a firmer grip on what the cloud is, it is easier to see why it is such a big deal. The cloud is transforming and will continue to transform the computing industry. In the future will may talk about on-premise data centers in the same way as we do about mainframes today, as relics of the past that definitely work well enough, but are mostly used because moving away from them entirely was too difficult. Some applications will probably remain in the on-premise data center as they have on the mainframe, but no one will build new data centers of their own unless they have very particular reasons. The cloud will be the default place to go. In this chapter, we look at why the cloud is the future. We see how the market is already moving fast toward the cloud and also look at the main drivers of cloud computing.
The effects of input modality, word difficulty and reading experience on word recognition accuracy

Language users encounter words in at least two different modalities. Arguably, the most frequent encounters are in spoken or written form. Previous research has shown that – compared to the spoken modality – written language features more difficult words. Thus, frequent reading might have effects on word recognition. In the present study, we investigated 1) whether input modality (spoken, written, or bimodal) has an effect on word recognition accuracy, 2) whether this modality effect interacts with word difficulty, 3) whether the interaction of word difficulty and reading experience impacts word recognition accuracy, and 4) whether this interaction is influenced by input modality. To do so, we re-analysed a dataset that was collected in the context of a vocabulary test development to assess in which modality test words should be presented. Participants had carried out a word recognition task, where non-words and words of varying difficulty were presented in auditory, visual and audio-visual modalities. In addition to this main experiment, participants had completed a receptive vocabulary and an author recognition test to measure their reading experience. Our re-analyses did not reveal evidence for an effect of input modality on word recognition accuracy, nor for interactions with word difficulty or language experience. Word difficulty interacted with reading experience in that frequent readers were more accurate in recognizing difficult words than individuals who read less frequently. Practical implications are discussed.
The Major Effect in the Privacy Select to Run Client Server

Because server client systems frequently store data and process data both on the client and on the server, this sort of system contingency planning should take into consideration potential system failures on the server of the client and communication of server to client elements. This article examines the basics of customer server architecture and its privacy, such as why customerserver architecture is required and superior to others. This paper discusses the problems of MCC (Mobile Country Code), privacy and the various tasks associated with online application safety. In this article, we examined the depth of the client's server architecture, where clients transmit the requests required by the users of logic modules and secure web logging against client logging in clients. With complete distribution applications which employ computer power wherever it is accessible and give information wherever it is necessary, everybody will in future be able to use inexpensive and efficient desktop technology. In future, owners and registered users will have access to information to avoid the need for expert systems developers and their complicated programming languages. Information will be captured at source and immediately made available in the future to authorized users.
Software tools for analysis and synthesis of stochastic systems with high availability (XIV)

Paper presents the new multi-memetic modification of the Mind Evolutionary Computation (MEC) algorithm with the incorporated landscape analysis (LA) for solving global optimization in problems complex highly available systems (HAS). The proposed landscape analysis is based on the concept of Lebesgue integral and allows one to divide objective functions into three categories. Each category suggests a usage of specific hyper-heuristics for adaptive meme selection. The new algorithm and its software tools were utilized to solve an optimal control problem for the epidemic’s propagation model, based on the SIER model with pulse vaccination. Results of the numerical experiments demonstrate a significant influence of vaccination’s start time, frequency and intensity on the maximum number of infected individuals. Results of the numerical experiments demonstrate a significant influence of vaccination’s start time, frequency and intensity on the maximum number of infected individuals. The proposed algorithm helped to find and the optimal vaccination schedule in order to minimize the number of infect-ed individuals while also maintaining the volume of the utilized vaccine at the low level.
AC-AC voltage regulation by switch mode PWM Cûk voltage controller with improved performance

In this research project, an AC Cûk voltage regulator has been proposed for maintaining constant voltage across the load during wide range of input voltage fluctuations. The proposed AC Ck voltage regulator made of practical IGBT switches has been investigated for both manual and automatic control circuit. A fraction of the output voltage is taken as the input voltage of the control circuit and produce the error signal if any changes occur in the output voltage. The modified error signal is used to make PWM signals for switching devices as per output voltage of regulator. The PWM controls the ON/OFF time (Duty cycle) of switching devices (IGBTs) of the proposed regulator. As a result the regulator is maintaining a constant voltage across the load during any change in supply voltage. The simulation waveforms and the calculated total harmonics distortion (THD) values are compared with previously studied AC Buck-Boost regulator. The observed simulated waveforms of output voltage, output current and input current and THD values have been improved in case of proposed AC Cûk voltage regulator.
49.1: <i>Invited Paper:</i> Interactive Whiteboard Based on AI Technology

SID Symposium Digest of Technical PapersVolume 50, Issue S1 p. 552-553 Technical Sessions: Session 49: Interactive Displays-1 (Touch and Interactive Displays) 49.1: Invited Paper: Interactive Whiteboard Based on AI Technology First published: 04 October 2019 https://doi.org/10.1002/sdtp.13558AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume50, IssueS1International Conference on Display Technology (ICDT 2019)September 2019Pages 552-553 RelatedInformation
Nominal semantics for predicate logic: algebras, substitution, quantifiers, and limits

We define a model of predicate logic in which every term and predicate, open or closed, has an absolute denotation independently of a valuation of the variables. For each variable a, the domain of the model contains an element [[a]] which is the denotation of the term a (which is also a variable symbol). Similarly, the algebra interpreting predicates in the model directly interprets open predicates. Because of this models must also incorporate notions of substitution and quantification. These notions are axiomatic, and need not be applied only to sets of syntax. We prove soundness and show how every 'ordinary' model (i.e. model based on sets and valuations) can be translated to one of our nominal models, and thus also prove completeness.
An Investigation on the Impact of the Design Problem in Ideation Effectiveness Research

design, design of neuromusculoskeletal rehabilitation devices and design for sustainability.
Copyright and Creativity

Neuroscientific studies of the creative process reveal that artistic ingenuity is not the black box the law supposes it to be. These studies explode several popular myths about art and artists—myths that courts have used to justify their failure to truly interrogate creativity. The courts tend to believe in the creativity of novices, romanticizing the artistic potential of children and the mentally ill. Instead, the science reveals a strong correlation between expertise, learned skills, and creative output. Western societies assume that creativity arrives in a flash of insight, often when the artist is not even thinking about the project at hand; the truth is that creative breakthroughs take sustained effort and motivation. Rather than being incapable of outside understanding, various aspects of creative thought—including the generation of new visual imagery—can now be identified via changes in brain chemistry. The chapter uses copyright cases concerning a variety of works—from fine art to photography to Barbie dolls—to illustrate the flawed ways in which courts try to discern artistic creativity and how they might be reconceptualized in light of neuroscientific discoveries.
Integrating Agent and Object-Oriented Programming Paradigms for Multi-Agent Systems Development

This paper presents an environment for the development of multi-agent systems that integrates agent and object-oriented programming paradigms. In fact, this environment, called HOMAGE, offers two different programming levels: object and agent. The object level allows the development of agent models and systems on the basis of two traditional object-oriented programming languages (C++ and Common Lisp). The agent level allows to specialize the agent models defined at the object level and to develop real multi-agent systems through an agent oriented language, called ALL.