Reviewerly/exHarmony huggingface dataset:
An Essay on Denotational Mathematics

Denotational mathematics is a new rigorous discipline of theoretical computer science that springs out from the attempt to provide a suitable mathematical framework in which laid out new algebraic structures formalizing certain formal patterns coming from computational and natural intelligence, software science, cognitive informatics, neuronal networks, and artificial intelligence. In this chapter, a very brief but rigorous exposition of the main formal structures of denotational mathematics is outlined within naive set theory.
The Students Value Attitude to Healthy Lifestyle

Abstract The relevance of the investigated problem is caused by the increased attention to the issues of a healthy lifestyle among students in Russia. Promotion of a healthy lifestyle, taking into account the individual interests and preferences of students can be embodied not only in the class but also in the framework of elective programs and courses, that are targeted on a healthy lifestyle. The authors reveal approaches, principles and pedagogical conditions for having a healthy lifestyle in the framework of training in educational institutions. The issues of bad habits influence the development and formation of a value attitude to a healthy lifestyle are considered.
Feeling queasy?

Motion sickness has tormented us for centuries, but its cause has been a mystery. Now we're finally making sense of this age-old problem, finds Helen Thomson
Round Robin Load Balancer for Node Swarm Clusters Running a Chatting Service on the Cloud

In this paper, we have created a chat application which uses socket programming for communication and all of the messages are saved in mongoDB. We have taken Docker application and hosted it on a three-node swarm cluster. This cluster uses Docker swarm technology to create a private network through which each of the nodes can talk to each other along a specified RPC port. The application runs in each node as a service and all load coming to the application has been balanced across three IP addresses in the swarm. This creates a distributed system and each node can act as a manager or a worker in the system. This technique helps to decrease the execution time to run servers on the cloud and can help improve the feasibility of online servers provided by the IT companies.
administrasi husemas

Husemas is a process of communication between the school and the community to enhance understanding of the needs and activities of education and to encourage interest and community cooperation in the improvement and development of the school.The above definition contains some important elements, as follows:A. The same interests between the school and the communityB. To meet the expectations of society, communities need to participate in the development of schoolsC. To increase participation required good cooperation, through efficient two-way communication.
Unprecedented times

The purpose of this chapter is to examine the implications of artificial intelligence (AI) within the intellectual property (IP) system. The chapter highlights the roles of AI as a tool, as an animal, or if it can be identified as a legal person to evaluate liability and issues concerning ownership and authorship of computer-generated works. The copyrights and patentability of AI-generated outputs are examined to see if the AI programmers or users can claim the rights or, if, on the contrary, they should fall within the public domain. New challenges are emerging that will require the international IP system to adjust its policies to AI technologies.
Towards exploring adaptive and associatively reactive answer strategies to creativity test queries

This poster presents an initial set of observations on different strategies of solving a creativity test under difficult conditions. Human participants show a propensity to answer with a stronger associate of one or two of the query items, while less frequently responding with a weaker but more inclusive associate of all three. Additionally, solvers sometimes responded with answers that held functional relations to the query item(s), even when instructed to provide a compound solution. These strategies of falling back on semantic or strongly occurring associates are explored, together with some of their implications on the design of adaptive mechanisms for cognitive systems.
The Naming of the Beast. Scrutinizing Concepts of Technology Rich Futures

Constructive Technology Assessment (CTA) aims to involve a multitude of stakeholders in discussions involving technology. However, all technological assessment is mediated through concepts. Development of concepts regarding technology rich futures has been lively but confusing for many stakeholders. Utilizing bibliographic data from Web of Science, this article overviews and discusses ten influential concepts that have played an important role during the 2000s. It is argued that the lively and dynamic concept production leads to numerous problems for a CTA approach.
Correction to: Comparison of outcomes after topography-modified refraction versus wavefront-optimized versus manifest topography-guided LASIK

An amendment to this paper has been published and can be accessed via the original article.
Real Time Feature Convergence Measure for Efficient Discrimination for Transactional Data Set

The problem of discrimination in transactional data set has been well studied. Numerous techniques has been recommended by various researchers but suffer to achieve higher performance. To handle this issue, a real time feature convergence measure based discrimination prevention algorithm is presented in this paper. The method first eliminates the noisy records by preprocessing the transactional data set. Second, the transactional data set has been grouped into number of clusters according to the pattern relevancy measure (PRM). Using the clusters generated, the the feature convergence measure (FCM) is computed for each item towards each cluster. The value of FCM is used to select a subset of items as sensitive one. Based on identified sensitive items, the method performs sanitization using probabilistic mapping scheme. The FCM algorithm supports the performance development of sanitization and discrimination prevention.
A Brief Concept of Speech and Language Processing: Parsing, Anaphora, and Fourier Transform

Due to the quick progressing of computational technology, there are a variety of Natural Language Processing (NLP) technologies applied in this decade, and these technologies surround our daily life in the world.Basically, Speech and Language Processing (SLP) plays an important role in the field of Natural Language Processing, and it promotes an advanced development to NLP.The primary methods contributing SLP comprise Parsing, Anaphora, and Fourier Transform, and these methods become an increasing issue to carry out a more advanced application of SLP.
Usense: A User Sentiment Analysis Model for Movie Reviews by Applying LSTM

Sentiment analysis is a field which deals with assessing the sentiments or emotions of the users on products and services. It takes user comments as input and applies natural language processing techniques to identify the mood of the user. Usually a sentiment is deemed to be positive, negative or neutral depending upon the mood that he expresses in the comments or feedbacks. It is largely used by businesses to improve products and services and also to present its customers with a set of products and services based on their likes and dislikes. State-of-the-art indicates many techniques have been applied in past such as, linear regression and SVM models. Recurrent Neural Networks (RNNs) have improved the way in which sentiment analysis could be done with greater accuracy, but they suffer from major drawback when applied to longer sentences. This paper proposes a sentiment analysis model using Long ShortTerm Memory (LSTM) based approach , which is a variant of RNNs. LSTMs are good in handling long sentence data. The model is applied to reviews collected from IMDB dataset. It is large dataset that contains 50K reviews. Out of the available reviews 50 % are used for training purpose and 50% are used for testing purpose. The model gives a training accuracy of 92% and validation accuracy of 85% which is neither an over fit nor an under fit. The overall accuracy here is 85%, which seems to be better than some of the existing techniques such as SVM with linear kernel.
Backmatter (Publication Ethics, Copyright Transfer Agreement Form)

Backmatter (Publication Ethics, Copyright Transfer Agreement Form)
Python-Versionen, Programmbibliotheken und Distributionen

No AccessPython für Ingenieure und NaturwissenschaftlerJan 2021Python-Versionen, Programmbibliotheken und DistributionenHans-Bernhard WoyandHans-Bernhard WoyandSearch for more papers by this authorhttps://doi.org/10.3139/9783446465015.009SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 271-280Print ISBN: 978-3-446-46483-4eISBN: 978-3-446-46501-5 Copyright & Permissions© 2021 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
TEACHING SPEAKING WITH READER’S THEATRE

The study aims to investigate the implementation of the technique of Reader’s Theatre in the teaching learning process of speaking class at STKIP PGRI Jombang specially at subject of Speaking for Daily Communication. Since The objective of Speaking class is to improve and develop student’s speaking skill fluently, correctly and accurately, the technique of Reader’s Theatre is offered to help students to speak English very well. Students can speak with correct vocabulary, proper pronunciation and good grammar. The subject of the research is students of English department 2017 A and B. The research method isconducted by describing all activities on speaking for daily communication by using Reader’s Theatre. To collect the data, the researcher uses the instrument by observing the condition of the class during the technique of reader’s theatre applied. The result of the research states that Reader’s Theatre can give a possitive activity to students involved in Speaking class. Students can have a good response toward the Reader’s Theatre technique. Key words: Reader’s theatre, Speaking class
Correction: Safe Curriculum Learning for Optimal Flight Control of Unmanned Aerial Vehicles with Uncertain System Dynamics

description is provided of the multi-variable control law structure that is used as external supervisor.This is shown using Equation 43, which incorrectly states that this control law is a function of the heading angle instead of φ.The following revision applies:
Enhanced Gesture Recognition Text to Speech Browser for Visually Challenged

Web has understood an astonishing change in human access to learning and information. The need of plotting an upgraded program for the ostensibly tried. The present structure helps the apparently tried people to use the information in the web satisfactorily, by changing over the substance in the site page to voice for their better use. The customer can look through the substance and indispensable information from the web by simply composing the URL. The site page substances are removed by JSOUP HTML parser. The isolated substance will be scrutinized out by Text to Speech (TTS) engine. The weights in this system are the apparently tried need to type URL the required in the change box, there are no contrasting options to control TTS and there are no decisions for investigating through site pages. The proposed structure is to arrange talk affirmation engine.
Filtration for re-use of process water

Water is indispensable in many industrial production processes and companies are searching for ways to clean and recycle used water. One filtration specialist has developed an automatic tubular backwashing filter that significantly reduces freshwater consumption during paper manufacture.
Freedom as a condition for formation of the future officer’s personality

Presented is the author’s analysis of the problem of education of a free personality in relation to conditions of military educational organizations of higher education, implemented under condition of ensuring freedom of thought, freedom of speech and freedom of will of cadets. It is noted that voluntary moral assimilation “hypothesis”, proposed by the student teacher, the crystallization in the minds of the personal value system, checking their communication in society and on the personal experience of free will in activities designed to foster stable beliefs and attitudes of future officers.
Robust IT2FL Controller Design for the Speed Control of a BLDC Motor

This work presents the design of intelligent controller for the speed control of a brushless DC motor under uncertainty in motor parameters. The Interval Type 2 Fuzzy Logic (IT2FL) controller has been proposed and designed to achieve the speed control specifications. A comparative study is conducted between IT2FL and PID controllers in terms of tracking performance and robustness characteristics. The effectiveness of both controller structures is verified through simulation within a MATLAB/Simulink environment. The simulated results showed that the IT2FL controller is more efficient than the PID counterpart in terms of tracking and robustness.
Utilization of Summarization Algorithms for a Better Understanding of Clustered Medical Documents

Medical documents contain rich information about the diseases, medication, symptoms and precautions. Extraction of useful information from large volumes of medical documents that are generated by electronic health record systems is a complex task as they are unstructured or semi-structured. Various partitional and agglomerative clustering techniques are applied for grouping the medical documents into meaningful clusters [4]. Multi-document summarization techniques which are recent development in the field of Natural Language Processing are applied to condense the huge data present in the clustered medical documents to generate a single summary which conveys the key meaning. The summarization techniques can be broadly classified into two types [2]. They are: Extractive Summarization techniques and Abstractive Summarization techniques. Extractive Summarization techniques try to retrieve the most important sentences from the given document. Abstractive Summarization techniques try to generate summary with new sentences which are not present in the document. Extractive summarization techniques using Statistical Approaches are applied on the clustered medical documents. Medical summaries help the patients for a better and prior understanding of the disease and they can get a brief idea before consulting a physician. The generated summaries are evaluated using ROUGE (Recall Oriented Understudy of Gisting Evaluation) evaluation technique.
ASSESSING THE INSIGHTS ON EXPERIENTIAL LEARNING USING THE AUGMENTED REALITY EXPLORATION

In the tertiary educational setting, learning is often taken place in a classroom environment that is too formal.Thus, to break the norm and to make learning enjoyable, exploration of a new method of knowledge dissemination using Augmented Reality (AR) was experimented in the teaching and learning of steel construction in architectural education.This exploration is intended to initiate an active learning and enjoyable environment for students at the university level.Hence, this paper examines students' insights on their experiences of AR exploration, where they actively learn through playing, experimenting, socialising and collaborating with their peers.During the learning process, students produced virtual steel construction details models, and then visualised the models through AR application that shows an interface with real time and real space.Prior to the AR exploration, students went through a series of workshops where they collaboratively developed models of steel construction details, based on their completed research.Students' feedback was sought after they completed the projects, particularly on their impression towards the project.The collected data was in the format of verbatim, obtained by having open-ended questionnaires.The data would be analysed using qualitative methods of content analysis using atlas.tisoftware.The generated frequency of coded factors would be quantified to produce an empirical result.Most students positively gave feedback that the new method applied for learning is effective and exciting, and they suggested the same approach should be implemented to other courses in the architectural educational program.The AR application had also offered them to have very practical and economical techniques of active learning, with the merger of ICT and online conveniences.
Feature Selection Methods for Mining Social Media

People can share their thoughts and opinion through Social Media which can easily widespread. So many public issues and political views are also discussed on social media. HIV/AIDS is also one of the important topics discussed. This work aims to classify HIV/AIDS related twitter data. Since the twitter data is highly dimensional, it is essential to do reduce dimensionality of the data to attain better classification results. Tweets are collected using keyword search and necessary pre-processing steps are carried out. Then feature extraction methods such as Bag of Words (BOW) model and TF-IDF are implemented. Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) techniques are used for dimensionality reduction. Finally, classification is carried out and the results are discussed.
Clinical evaluation of an integrated OR based on open standards in Cochlea-Implant-Surgery

Background Digitalization in surgery makes it necessary to develop modern surgical concepts. New approaches to system networking with integration and open communication of all medical devices are being pursued.
Features of Organizing Pupils’ Independent Work in Music and Performing Classes

The article deals with the features of organizing the students’ independent work in the performing classes of music departments of pedagogical universities. While teaching performing disciplines it is necessary to take into account many individual characteristics and features inherent in each student — physiological, psychological, ideological, spiritual. The importance of the emerging interpersonal relations between a teacher and a student is emphasized. The main methods of pedagogical influence on students of performing classes are revealed — display, verbal explanations, emotional and volitional drive, and ways of organizing independent work on mastering a musical work, aimed at improving the technique of the performer and comprehending the artistic image of the work. At the lesson, the teacher shall build a model of the student’s independent homework and determine the ultimate goal — the formation of the interpretive concept of the work and the public performance of the work in the most complete and perfect form. The need to develop a young musician’s abilities for self-analysis, reflection and self-regulation of his practical actions shall be noted.
GEOSPATIAL MODELLING OF PYRRHOTITE IN BEDROCK AND RISK ACROSS CANADA

Pyrrhotite is a chemically reactive iron sulfide mineral (Fe(1-x)S) that causes substantial structural damage to infrastructure when present in the coarse aggregate fraction of a concrete mix. In Trois-Rivières, Québec, for example, expansion of concrete due to oxidation of pyrrhotite-bearing aggregate in foundations of homes has led to several million dollars of property damage. Accordingly, constraining the distribution and risk of pyrrhotite in bedrock is critical for informing decisions regarding concrete aggregate extraction. This research investigates the distribution of pyrrhotite occurrences and pyrrhotite-bearing geology across Canada. We generated a series of national-scale maps, based on publically available bedrock geology and provincial/territorial mineral occurrence datasets, to illustrate pyrrhotite occurrences with respect to bedrock geology units. A goal is to assess the effectiveness of several different map styles at modelling the relative risk of pyrrhotite for defined rock units. The most effective strategies involve normalizing the number of pyrrhotite occurrences with respect to rock unit area or total number of mineral occurrences per rock unit, and defining different risk classes based on pyrrhotite occurrence density. Such geospatial products overcome sampling biases in the mineral occurrence datasets; therefore, may be most appropriate for assessing which rock units pose the greatest risk for pyrrhotite. National-scale maps of pyrrhotite risk across Canada can be compared with related datasets from the United States to assess the distribution and risk of pyrrhotite across North America. Geospatial modelling can help inform the selection of potential aggregate extraction sites, as well as guide investigations of possible pyrrhotite occurrences in coarse aggregate used for concrete. Such results may also be valuable for targeting key areas to pursue detailed geotechnical tests of coarse aggregate used to develop concrete standards.
Designing services that are more than FAIR with User eXperience (UX) techniques

&amp;lt;p&amp;gt;More and more research data, models and software are being made accessible. This should, in principle, be of real value to the scientific community as well as decision makers, industry and wider society.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;However, too often the data is not particularly easy to &amp;lt;strong&amp;gt;F&amp;lt;/strong&amp;gt;ind, users can be left confused about terms, conditions and licences, therefore limiting &amp;lt;strong&amp;gt;A&amp;lt;/strong&amp;gt;ccess. If a user actually manages to identify usable data that is &amp;lt;strong&amp;gt;I&amp;lt;/strong&amp;gt;nteroperable with other relevant datasets and services they too often report that the process is not as easy they would like it to be. All of this results in valuable, accessible data remaining unused never mind &amp;lt;strong&amp;gt;R&amp;lt;/strong&amp;gt;e-used.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Taking inspiration from the product design industries and applying the techniques of Service Design and User eXperience (UX) to develop user centric solutions would result in more intuitive, user relevant services that maximise the impact of making data and tools Open and FAIR.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This talk will present three use cases:&amp;lt;/p&amp;gt;&amp;lt;ol&amp;gt;&amp;lt;li&amp;gt;UK Geoenergy Observatories: a complex and challenging programme of work to develop the digital infrastructure necessary to open up all research findings from two new Geoenergy testbeds in the UK.&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;CAMELLIA rain garden calculator: a community engagement and co-design project in which rapid software prototyping led to local residents of a South London housing estate being able to co-design a new green space with environmental scientists and funding bodies.&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;Geospatial Commission - Data Discoverability project: an evaluation of the current geospatial data portal landscape, involving user research and a UX evaluation of exiting portals. Resulting in a report on future improvements to geospatial data portals being submitted to the UK Government Cabinet Office.&amp;lt;/li&amp;gt; &amp;lt;/ol&amp;gt;&amp;lt;p&amp;gt;This user centric, design led approach has provided developers with greater clarity on user requirements, resulting in more iterative and rapid deployments of digital services. End users, such as scientists, project managers and other stakeholders, reported a greater sense of ownership and investment in projects in which they are were throughout the research, design and development process. &amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;