Reviewerly/exHarmony huggingface dataset:
The Specificity of the Text of Synthetic Nature in the Sociocultural Space of the 20th Century

The article considers suppositions and implementation of "figurativeness" of literature in the modern cultural context. The intersection in the process of the synthesis of arts generates polyartistic domain within the framework of a unified author's text. The phenomenon of this process has started to be examined only since the beginning of the 19th century, but examples of synthetic art can be found since Antiquity. The tendency to synthesis is inherent both in some art forms and a number of separate genres. The synthesis of different types of arts can be carried out within a particular work or at the intersection of two or more works belonging to different types of art. The very understanding of the "synthesis of arts" has undergone changes in its assimilation, but the basic principle of creating a new form remained constant. At the same time, in the" watershed" periods, the actualization of synthesis was observed, which contributed to the emergence of new artistic objects. At the same time, literature was influenced greatly and, first of all, by cinema. By the example of Boris Akunin's novels, it is possible to observe how, following the author's strategy, the novel space is filled with cinematic and illustrative imagery, which contributes to the creation of polyartistic, polysemantic in the figurative and expressive respect of the text.
How to absorb your reflection

Journal of Paramedic PracticeVol. 11, No. 6 EditorialHow to absorb your reflectionAysha MendesAysha MendesEditor of the Journal of Paramedic PracticeSearch for more papers by this authorAysha MendesPublished Online:8 Jun 2019https://doi.org/10.12968/jpar.2019.11.6.235AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 2 June 2019Volume 11Issue 6ISSN (print): 1759-1376ISSN (online): 2041-9457 Metrics History Published online 8 June 2019 Published in print 2 June 2019 Information© MA Healthcare LimitedPDF download
Extreme Learning Machine Based Intelligent Condition Monitoring System on Train Door

Train door is a critical subsystem in a railway system, thus fault diagnosis on train door at an early stage is essential for improving pre-emptive maintenance capability and reducing train downtime. Sensors have been installed on train door to collect data for fault detection and diagnosis by using data analysis methods. However, not all door faults are technical in nature and faults may be caused by non-technical events, such as passenger trying to stop door closing, which cannot be identified by sensor data. The normal method to exclude the man-made failures is by train captain’s inspection. This way is inefficient, unintelligent and increasing train downtime. Therefore, a condition monitoring system to realize real-time human detection is proposed in this paper. Human detection is realized by a hybrid framework - constituted by Faster R-CNN and ELM classifier, which integrates the state-of-the-art detection performance of Faster R-CNN and outstanding generalization performance and extreme learning speed of ELM classifier. Preliminary experiment results suggest the proposed system has potential to serve as an intelligent condition monitoring system.
Modeling Behavior and Designing Evidence-Based Technologies

To be effective, modern technological applications should take into account the needs, preferences, capabilities, and limitations of human users. In recent years, this requirement has made more imperative the need to understand in more detail the human cognition and its constraints. Cognitive processes and their underlying neural substrates are traditionally investigated with laboratory studies that yield data of different forms, ranging from accuracy and reaction time data in behavioural experiments to electrophysiological responses and neuro-imaging data in neuroscience studies. But how do such data enable psychologists and other scientists to draw conclusions about cognition? Also, how can the extracted knowledge be exploited for the design of evidence-based smart systems and innovative technologies? In this talk, I will address these questions by drawing examples from my research that employs various methods and techniques, including behavioural experiments in Virtual Reality, eye-tracking, and physiological recordings. Although most of this research focuses on how people attend, perceive, and memorize spatial information, studies investigating more general cognitive mechanisms (e.g., selective attention and executive functions) will be also presented.
Research Guides: CRM 610: Finding Articles

Theories of Criminal Behavior Useful databases where you can locate resources for linguistics and languages.
Detecting Smartphone Insurance Fraud

The vast majority of Swedes are in possession of a smartphone, typically covered via one’s household insurance policy and smartphones are included in upwards of 50 % of household insurance claims (Hedvig, 2019). Some estimates say that upwards of 40 % of all smartphone claims are fraudulent. Payments to fraudsters falls on honest policy holders pay for with higher premiums. There are several vulnerabilities in the current measures of Insurance Fraud Detection (IFD) on smartphones regarding the indicators that invoke suspicion and the economic incentives for investigation. The purpose of this report was to identify viable Smartphone Insurance Fraud Indicators (SIFIs) to be used for IFD, along with suggestions for further improving the fraud detection capability in areas of data acquisition and investments in analytical tools. A triangulation methodology was employed, which extended to interviews with 12 practitioners of IFD, attendance at 2 international insurance conferences and a review of 20 published academic papers and articles on insurance fraud. The primary result of this report was a compilation of 51 distinct SIFIs. By contrasting and comparing the findings from the three method areas, several examples of divergences between theory and practice were identified. The results can be used to expand and revise existing sets of indicators, as well as prioritising investments in new analytical tools. Although the research is focused on smartphone claims, the results also have the potential to be apply to other common belongings such as laptops, and tablets. (Less)
Chess endgame news: an endgame challenge for neural nets

This article defines the challenge of training neural-networks on specific chess endgames and benchmarking their efficacy against the existing sub-8-man endgame tables. The key tasks are to measure how well they play and to infer higher-order rules and guidelines for play from them.
Research on the Realization of Excitation Signal SPWM of Radar Synchronous Motor Based on DSP

To generate the excitation signal of radar synchronous motor which can obtain the azimuth and elevation of radar antenna, high-speed DSP was used to generate SPWM by the arithmetic of asymmetry rule sampling. The advantage, theory, and mathematic model of SPWM were deeply analyzed. Based on TMS320LF2407A, the process of obtaining SPWM was given. Finally, the test waves were analyzed. The result of experiment shows that it has advantages of high precision, real time, and simple structure to use DSP on the generation of SPWM.
The Data Scientist’s Role in Overcoming Algorithmic Bias

As our journey through the world of algorithmic bias has shown, data scientists are facing a formidable challenge, where age-old societal practices and biases, business owners, users, naughty datasets, and the tired brain of the data scientist all might conspire to introduce algorithmic bias. At the same time, data scientists have a lot of powers to contain algorithmic biases through thoughtful modeling choices. In this final part of the book, we will discuss in greater and more technical detail the most important techniques for data scientists to contain algorithmic biases. Lest I am creating unrealistic expectations, let me stress: algorithmic bias is not a single foe but a whole army of adversaries—building a model can feel like a trek through a jungle where you need to fend off everything from mosquitos to poisonous snakes and ferocious tigers. Therefore, sadly, there is no silver bullet, just a survival class and a packing list of recommending essentials such as mosquito repellent and a machete.
Research on Development Method of Application System based on Blockchain

The blockchain was first used as the underlying “book“ recording technology for bitcoin, which originated in 2009. After several years of development and improvement, it has gradually become a new type of distributed, decentralized, and trusted technology solution. Especially in the past two years, the blockchain has gradually separated from Bitcoin, and has become a hot spot for technological innovation. It has created a new data distributed storage technology, which has guided changes in system and programming concepts and may subvert the present. The organizational model of the business community. The characteristics of the blockchain are analyzed from the technical and application levels, and the classification of the blockchain is given. The design requirements of the blockchain are mined, and the application requirements of the blockchain consistency and scalability are analyzed in depth. The application system development method of blockchain and blockchain modeling are studied. The double-chain design model of account blockchain (abbreviated as ABC) and trading blockchain (TBC) is proposed. The contract is deeply analyzed, and the application principle of parallel execution model of chain code is put forward. Finally, the application technology of blockchain is summarized and forecasted.
Continuous Curation of a Digital Bibliography Showcasing Criminal Justice Data Use

Poster presented at the 2019 American Library Association Annual Conference in Washington, D.C., June 20-25, 2019
Identification and application of geometry and measurement in nature

One of the main goals of the school is to prepare pupils for life and work, that is, to provide them with information and train them to be able to transfer and use this information in their professional and everyday life. However, we notice that pupils often limit learning content and acquired knowledge to specific school subjects. This means that they do not transfer and use knowledge learned from one subject to other subjects or in extracurricular situations.In the master's thesis, we explored the transfer of knowledge from the classroom to nature, that is, from school to extracurricular situations. We studied whether children notice and recognize geometry in nature and whether they can use in mathematical classes acquired knowledge of geometry and measurement to solve concrete problems from everyday life. The research is based on a quantitative and qualitative research approach. In doing so, we used a descriptive non-experimental method. In the study participated 20 pupils from the selected fifth grade of elementary school from Slovenia. We obtained data by carrying out two tests and a survey.The results of the research have shown that the majority of pupils who participated in the study, notice and recognize examples of geometry, even outside the school and is aware that mathematics accompanies us everywhere we go. Pupils also recognize the usefulness of mathematics at school and outside school and recognize that they also use it themselves. Contrary to the good basic and conceptual knowledge, the research showed weak problem-solving knowledge. We have seen that pupils can only partially transfer and use knowledge of geometry and measurement that they have acquired in mathematics classes to solve concrete problems in nature. Among other things, the research has also shown that pupils prefer to solve mathematical problems in groups and that they like to have lessons in nature.With the master's thesis, we tried to draw attention to the importance of transfer of knowledge, the presence of mathematics in professional and everyday life and the importance of training pupils to use the acquired knowledge in their everyday life.
Complex Abilities of Communicators and Specificity of Their Formation

The complex abilities of communicators as non-innate, but the acquired universal system of psychophysical actions are regarded; they are aimed at creating a generalized image of the imaginary model of communicating information for recipients, not from relatively independent constructs, but from their united groups, as well as its implementation through the block utilization of communication skills. The psychological structure of these abilities, which consists of motivational-volitional, operational-procedural and content-reflexive components, is revealed. It is proved that the formation of complex communicator abilities requires the purposeful development of each of their components in the process of preparation for professional activities. Improvement of the motivational-volitional component of the indicated abilities is the activation of the desired types of motives, their awareness and regulation of the intensity of the existing emotions (preservation, amplification or relaxation). The prospect of improving the operational and procedural component of complex communicator abilities is traced by the achievement of the dominance of procedural motivation, which increases the efficiency of the implementation of not only thoughtful operations, but also the implementation of imaginary images through the block application of their constructs and communicative skills. The improvement of their content-reflexive component is carried out by the use of productive means of control of the process of preserving the expressiveness of differentiated constructs with the intermediate fixation of the imaginary created model of conveying information to recipients and the process of conscious and adequate assessment of the intermediate effectiveness of its communicative realization, which ensures that the right decisions are made.
Culture and Priviledge in Open Source Blogging

Having a straight white male explain a utopian vision of blogging and open source is not new.While I believe in the values of open pedagogy
Correction: Automatic classification of cervical cancer from cytological images by using convolutional neural network

Bioscience Reports (2018) 38(6), BSR20181769; https://doi.org/10.1042/BSR20181769 The authors have made an error in the abstract …
Detecting adversarial examples with inductive Venn-ABERS predictors

Inductive Venn-ABERS predictors (IVAPs) are a type of probabilistic predictors with the theoretical guarantee that their predictions are perfectly calibrated. We propose to exploit this calibration property for the detection of adversarial examples in binary classification tasks. By rejecting predictions if the uncertainty of the IVAP is too high, we obtain an algorithm that is both accurate on the original test set and significantly more robust to adversarial examples. The method appears to be competitive to the state of the art in adversarial defense, both in terms of robustness as well as scalability
The creation of Base Rate Knowledge of linguistic variables and the implementation of likelihood ratios to authorship attribution in forensic text comparison

This article contributes to the research challenges that Forensic Linguistics faces in the 21st century – to compare texts of unknown authorship with the same reliability as other disciplines that consider forensic evidence. This research implements advanced statistical techniques within the field of forensic text comparison that improve the reliability of linguistic evidence furnished in Court and assess its significance. The first part of the analysis creates a Base Rate Knowledge for some of the most relevant linguistic variables in Peninsular Spanish texts. The second part applies statistical tests to variables with discriminatory potential to identify the samples of the authors and also assesses the reliability of the results in a posteriori classification. The implementation of the likelihood-ratio framework in the third part improves the reliability of linguistic evidence provided in court and offers probabilistic results to assist not only the judge and jury but also the linguistic expert in order to carry out more rigorous testing and extensive performance analysis of the data.
USE OF COMPUTER SOFTWARE TO DO MATHEMATICS AND THE MATHEMATICS ACHIEVEMENT OF STUDENTS IN PUERTO RICO USING RESTRICTED 2015 NAEP

This quantitative study explored the relationship between the mathematics achievement patterns of eighth grade students in Puerto Rico and their use of computer software application programs for doing mathematics. The theoretical framework used is the educational production function, which allowed the use of a function to analyze this relationship. The researcher analyzed 2015 restricted National Assessment of Educational Progress (NAEP) mathematics data. Data analysis consisted of descriptive statistical analysis and multilevel modeling analysis. Control variables to measure socioeconomic status and absenteeism were included in the multilevel model. Results of this study showed that average scores on NAEP 2015 were higher for students who use computer programs to do mathematics with less frequency than students who use it with more frequency. Understanding the relationship between the use of computer programs to do mathematics and the mathematics achievement of these students help the mathematics education community to cautiously create policies that do not focused on frequency of using technology. The researcher provided a discussion of the results and implications for researchers, administrators and teachers that would help them to target on the improvement of mathematics achievement of students in Puerto Rico. Este trabajo cuantitativo exploro la relacion entre patrones de aprovechamiento matematico de estudiantes de octavo grado en Puerto Rico y el uso de programas de computadora para hacer matematicas. El marco teorico es la funcion de produccion educativa, el cual permitio el uso de una funcion para explicar esta relacion. La investigadora analizo datos restringidos del 2015 de la Evaluacion Nacional del Progreso Educativo de Matematicas (NAEP, por sus siglas en ingles). El analisis de datos consistio en estadistica descriptiva y analisis multinivel. En este ultimo, la investigadora utilizo variables control para medir el nivel socioeconomico y el ausentismo de los estudiantes. Los resultados de este estudio mostraron que los estudiantes que usaron programas matematicos con mayor frecuencia obtuvieron puntajes promedio mas altos en NAEP 2015 que los estudiantes que los usaron con menor frecuencia. Entender la relacion entre el uso de programas de computadora y el aprovechamiento academico de estos estudiantes ayuda a la comunidad de educadores en matematica a crear, con cautela, politicas educativas que no se enfoquen en la frecuencia del uso de tecnologia. La investigadora incluyo una discusion de los resultados asi como implicaciones para investigadorxs, administradorxs y maestrxs que pueden ayudarlos a identificar practicas que mejoraran el aprovechamiento matematico de estudiantes en Puerto Rico.
Static Garbage Collection

We present a method that allows to bound the sizes of intermediate trees in a composition of macro tree transducers. Macro tree transducers are a powerful model of tree translation which, for instance, includes all attribute grammars (seen as tree-to-tree translators). The idea of the method is to change a transducer in the composition so that it does not produce output nodes that will be removed (and ignored) by a subsequent transducer in the composition. This can be considered as a form of static garbage collection, where garbage is never produced by any transducer. We then give three applications of this result and show that (1) compositions of macro tree transducers can be computed in linear time with respect to the sum of sizes of input and output trees, (2) finiteness of ranges of compositions of macro tree transducers is decidable, and (3) the macro tree transducer composition hierarchy collapses when restricted to functions of linear size increase.
An innovative practical teaching model based on information technology

In traditional teaching model of experimental lesson, the teacher introduces the principles, the devices and the matters needing attention of the experiment to the students before the students begin to do the experiment, the students analyze the result and finish the report after school. If the students have some questions about the result, it's very hard for them to solve the questions through experimental method. In order to free up class time for students to do experiments, improve the efficiency and effect of experimental teaching, a mini-experiment-teaching APP was developed. It can be used by mobile phones with android or OS system. Through it, the students can watch the teaching videos, finish the fundamental questions(just about the background, the principles, the devices, the matters needing attention of the experiments. ) and discussed with teachers and classmates. The APP was practiced in experimental lesson of opto-electronic technology, the students must watch the whole teaching video, finish the fundamental questions and get 60 scores before they begin to do the experiment, and must finish analyzing the results of the experiment before they leave the laboratory. The results of practice and survey show that most students prefer the novel teaching model to the traditional teaching model, only one student didn't finish watching teaching video before class. The result of examination shows that the effect of the novel teaching model is better than that of the traditional teaching model, the novel teaching model can also save the teacher's time.
Applying a chatbot for assistance in the onboarding process : A process of requirements elicitation and prototype creation

It has previously been shown that the quality of the onboarding process affects the chances of a new hire staying at a company, yet it is common that companies have problems in succeeding to mainta ...
Training corpus ssj500k 2.2

The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is annotated with semantic role labels. The morphosyntactic tags and syntactic dependencies are included both in the JOS/MULTEXT-East framework, as well as in the framework of Universal Dependencies.The annotations of the ssj500k corpus follow (1) the MULTEXT-East V6 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V6/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, the Universal Dependencies morphosyntactic specifications and syntactic dependencies for Slovene-SSJ, https://universaldependencies.org/, (4) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (5) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/The vocabulary of (1) and (2) is provided in the back element and (3), (4), and (5) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader.In contrast to the previous version 2.1, this version corrects various errata in spacing and text metadata and adds UD morphological and (where it was possible to do so automatically) dependency annotations to the corpus. Note that the UD annotations are not included in the vertical file.