Reviewerly/exHarmony huggingface dataset:
Chatbot: Integration of Applications Within Slack Channel

Nowadays, huge amount of data are available which are used to get information. For extracting this information, according to user’s requirements, there are many platforms available for searching incomprehensible or inconceivable data, for example, Quora, Google. But none of them provides optimized, accurate, precise, relevant answers. Even the problem of platform switching is observed. By developing our application and integrating it with Slack, this problem can be overcome and is beneficial for the Slack users. Slack software is cloud-based collaboration software and is designed to enable users to communicate easily and eliminate the app fatigue associated with using multiple communication applications. Slack software is a collaboration hub for work, no matter what work you do. It’s a place where conversations happen, decisions are made, and information is always at your fingertips. It is a collaboration chat tool used both in and out of organizations to help teams communicate and coordinate in a more effective manner. Vizerto is a software application designed to get high-quality answers to our questions. In this, integration of these two platforms is done using APIs. The Slack conversation API provides your app with a unified interface to work with all the channel-like things encountered in Slack, public channels, private channels, direct messages, group direct messages, and our newest channel type, shared channels. Similarly, Vizerto API provides your app with a unified interface to get the search results in no time. Our chatbot will be having all these functions that can be used and made knowledge available at your fingertips.
Practice for speed and proficiency in cytology exams using the new rcpa digital cytology ecases and sectra

Aim: Create and share a digital a slide workshop using Sectra slides. Background: The RCPA Cytopathology exam is planned to transition to digital slides viewed on the Sectra platform. Screening and reaching a diagnosis using digital cytology is slower than glass slides.1 Proficiency and speed comes with practice.2 There are currently >200 cases of digital cytology in the RCPA eCases library, many with z-axis focus and digital annotations. Registrars and supervisors need to know how to efficiently navigate and share digital practice slide sets. Methods: A metaphor of door, library and window help us navigate the data architecture. Enter the cytology slide library through the DOOR of the RCPA website. The cytology slides are found in the eCases LIBRARY, a digital repository of virtual slides linked to case data and diagnosis. View and share the slides via the Sectra WINDOW. The methods are demonstrated in 6 online videos.3 Result: Follow these steps to make and share a Sectra digital slide set. There is also an online example test set (https://digipathed.wordpress.com/2020/01/07/sectra-practice-test-sets/) and an answer set (https://digipathed.wordpress.com/2020/01/07/sectra-practice-test-set-with-answers/). Conclusion: Teaching and learning with digital slide sets is an opportunity to practice digital proficiency, which is a 21st century skill for all of us. References 1.House JC, Henderson-Jackson EB, Johnson JO, et al. Diagnostic digital cytopathology: Are we ready yet? J Pathol Informatics 2013 Oct; 4(28)2.Van Es SL. Digital pathology: semper ad meliora. Pathology 2019; 51: 1–10.3.Charlton A. Practice for speed and proficiency in cytology exams using the new RCPA digital cytology eCases and Sectra. 6 videos. Cited 20 Jan 2020. https://digipathed.wordpress.com/2020/01/02/prepare-for-the-rcpa-digital-cytology-exam-using-sectra/
Library Guides: Interlibrary Loan: ILLiad and Your Account

This guide will explain what Interlibrary loan (ILL) is and how you can use ILL to request materials not owned by Purdue Libraries
Folkbibliotek och Instagram: Vad läggs upp? Vad uppskattas?

This thesis examines how Instagram is used by Swedish public libraries through quantitative content analysis and usage of the Four Spaces model. The aim was to uncover what the most dominant conten ...
Catuscia Palamidessi

On the 4th of November 2019 (date very close to her 60th birthday), we celebrated Catuscia's intellectual depth, vision, passion for science, and tenacity in solving technical problems. The one-day event was held at the Inria Saclay Center (LIX, École Polytechnique, France) and included the participation of more than 40 of her colleagues and friends. Moreover, as a special gift, we presented Catuscia with an LNCS volume written in her honor, entitled The Art of Modelling Computational Systems: A Journey from Logic and Concurrency to Security and Privacy [Alvim et al. 2019]. The process of reviewing and selecting contributions, as well as of editing the final volume, took over one year. Fortunately, we succeeded in keeping it secret from Catuscia. We received support from EasyChair and Springer for publishing the volume and financial funding for the event from LIX - École Polytechnique and Inria Saclay.
Incorporating prosody into neural speech processing pipelines

In this dissertation, I study the inclusion of prosody into two applications that involve speech understanding: automatic speech transcription and spoken language translation. In the former case, I propose a method that uses an attention mechanism over parallel sequences of prosodic and morphosyntactic features. Results indicate an F1 score of 70.3% in terms of overall punctuation generation accuracy. In the latter problem I deal with enhancing spoken language translation with prosody. A neural machine translation system trained with movie-domain data is adapted with pause features using a prosodically annotated bilingual dataset. Results show that prosodic punctuation generation as a preliminary step to translation increases translation accuracy by 1% in terms of BLEU scores. Encoding pauses as an extra encoding feature gives an additional 1% increase to this number. The system is further extended to jointly predict pause features in order to be used as an input to a text-to-speech system.
Tabooing insults: Why the ambivalence?

This paper examines insults, both verbal and non-verbal, on the premise that societies the world over have adopted an ambivalent attitude towards the creation and use of insult. The ambivalence argument is grounded in the sheer preponderance of both institutionalised and informal usages of verbal and non-verbal insults, through the arts mainly, as well as the tabooing regimes of insults in the same societies. The paper argues that the worldwide attitude of ambivalence towards the creation and usage of insult is not double standards but rather a delicate balancing act for the attainment of psycho-social goals such as catharsis and entertainment on one hand and the moderation of the social conflicts caused by verbal and non-verbal insults. The paper argues further that since neither the sanctioned uses of insult nor its tabooing do fully guarantee the attainment of the psycho-social necessities mentioned, the ambivalent attitude provides the needed framework for managing the creation and usage of insult as a necessary evil. Social navigation between sanctioned usages and tabooing of insults seems to be guided by the principles of ‘context’ and ‘intent’ of creation and usage of insult. Key words: Tabooing insult, institutionalised usage, worldwide ambivalence, psycho-social goals, context, intent.
Fair and Decentralized Exchange of Digital Goods

We construct a privacy-preserving, distributed and decentralized marketplace where parties can exchange data for tokens. In this market, buyers and sellers make transactions in a blockchain and interact with a third party, called notary, who has the ability to vouch for the authenticity and integrity of the data. We introduce a protocol for the data-token exchange where neither party gains more information than what it is paying for, and the exchange is fair: either both parties gets the other's item or neither does. No third party involvement is required after setup, and no dispute resolution is needed.
New Moments Based Fuzzy Similarity Measure for Text Detection in Distorted Social Media Images

A trend towards capturing or filming images using cellphone and sharing images on social media is a part and parcel of day to day activities of humans. When an image is forwarded several times in social media it may be distorted a lot due to several different devices. This work deals with text detection from such distorted images. In this work, we consider images pass through three mobile devices on WhatsApp social media, which results in four images (including the original image) Unlike the existing methods that aim at developing new ways, we utilize the results detected by the existing ones to improve performances. The proposed method extracts Hu moments and fuzzy logic from detected texts of images. The similarity between text detection results given by three existing text detection methods is studied for determining the best pair of texts. The same similarity estimation is then used in a novel way to remove extra background or non-texts and restoring missing text information. Experimental results on own dataset and benchmark datasets of natural scene images, namely, MSRA-TD500, ICDAR2017-MLT, Total-Text, CTW1500 dataset and COCO datasets, show that the proposed method outperforms the existing methods.
Сутність і зміст методичної інтеракції майбутніх викладачів англійської та французької мов

The article is dedicated to university preparation of English and French student teachers for carrying out assessment, namely for designing assessment materials for measuring bachelor students’ communicative competency and its components. The author has analyzed the latest studies dedicated to development of foreign language teachers’ assessment competency. The results of the analysis necessitated searching for ways of introducing additional interaction of master students with their potential target group of learners in order to trial tasks designed by them and describing the procedure of itsimplementation. The researcher recommends arranging such an interaction as part of students’ independent work. To describe this kind of interaction she addresses the principles of interactive pedagogy and makes a conclusion that pedagogical interaction does not cover the specificity of the discipline "Foreign Language". Thus, the new methodological term "assessment-materials-developing interaction" has been introduced, by which the author means productive interaction of English and French student teachers with other agents involved in assessment at university in order to develop their language assessment competency. Its content has been described in line with the principles of interactive teaching/learning at university, the student-based and synergetic approaches. The object and subjects of the new type of interaction have been defined (learning materials; master students, teachers, first-fourth-year students). The range of roles and functions of subjects has been specified. It is emphasized that realization of the interaction specific for foreign language test developers is possible only when students are active and capable of self-organization.
Sentiment Analysis for Tweets in Swedish : Using a sentiment lexicon with syntactic rules

Sentiment Analysis refers to the extraction of opinion and emotion from data. In its simplest form, an application estimates a sentence and labels it with a positive or negative sentiment score. On ...
Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study

In this paper, it is proposed to switch between swarm optimization algorithms during the optimization process, aiming at combining the best performance from each single swarm optimization algorithm and hence improving the overall empirical performance. To investigate this switching scheme, an empirical study is carried on four swarm algorithms, Particle Swarm Optimization, Gravitational Search, Grey Wolf Optimizer and Chicken Swarm Optimization. All possible switches (combinations) among those four algorithms are tested. In addition, instead of searching for the best switching point, it is prescribed in the experiment. The proposed method is empirically investigated on the so-called Black-Box Optimization Benchmark (BBOB), where the switching method is compared to each individual swarm algorithm as well as using the state-of-the-art black-box optimization algorithm, BIPOP-CMAES (BI-population Covariance Matrix Adaptation Evolution Strategy). The result shows that the switching approach generally improves the performance of individual swarm algorithms. However, none of them can rival the performance of the BIPOP-CMA-ES.
ОСОБИСТІСНІ ЯКОСТІ МАЙБУТНЬОГО БАКАЛАВРА З ПСИХОЛОГІЇ У ПРОЦЕСІ ПРОФЕСІЙНОЇ ПІДГОТОВКИ

The article deals with the problem of employment of a modern specialist in psychology. Attention is paid to the development and formation of personal qualities of future bachelors with psychology in the process of training. It is shown what personal qualities it is necessary to have future bachelors from psychology. The technique of determining which personal qualities it is necessary to master the future bachelors from psychology in the process of training is considered. The essence is revealed and the psychodrama of the bachelor in psychology is described.
Comparative Analysis of Post-wavelet Denoising for Interpolated Images Having Various Noises

In this work, comparative analysis of wavelet-based denoising for interpolated images contaminated with various noises has been presented. In order to upscale the images, interpolation is the fastest and simplest method, but its performance varies with the type of noises present in images. In today’s time, most of the images are present in compressed form and may contain various type of noises. The wavelet-based noise removal method combined with interpolation can act as a solution to restore these images. In the presented work, a comparison of the performance of wavelet-based denoising methods along with interpolation for the different type of noises with compression artifacts has been presented. PSNR and SSIM quality matrices have been compared for different type of noises for both highly compressed and non-compressed images. On the basis of this analysis, one proper method of wavelet denoising along with image interpolation can be selected for particular type of noise.
Artificial Intelligence in Seismology

How can machine learning be used to determine seismic wave arrivals?Operating principles of neural networks, comparison of conventional feature based and artificial neural network algorithms to pick seismic phase arrivals, network training and application.
Soundness conditions for big-step semantics

We propose a general proof technique to show that a predicate is sound, that is, prevents stuck computation, with respect to a big-step semantics. This result may look surprising, since in big-step semantics there is no difference between non-terminating and stuck computations, hence soundness cannot even be expressed. The key idea is to define constructions yielding an extended version of a given arbitrary big-step semantics, where the difference is made explicit. The extended semantics are exploited in the meta-theory, notably they are necessary to show that the proof technique works. However, they remain transparent when using the proof technique, since it consists in checking three conditions on the original rules only, as we illustrate by several examples.
Adaptive Goal-Directed Behavior using Planning with Reinforcement Rewards

In dieser Arbeit wird der Planungsalgorithmus ”look-ahead planning” in einer offenen, fur Reinforcement Learning Algorithmen ausgelegten Aufgabe im kontinuierlichen Raum untersucht. Die Planoptimierung verwendet ein Weltmodell, um mit dem Plan, einer Sequenz von Aktionen, zukunftige Zustande vorhersagen zu konnen und diese nutzen, um Reinforcements berechnet. Die Aktionen im Plan werden mit Gradient Descent unter Verwendung dieser einforcements optimiert. Das Ziel dieser Arbeit ist es, die Eignung dieses Planungsalgorithmuses fur Reinforcement Learning Probleme zu zeigen, reprasentiert durch die Pendulum Swing-Up Aufgabe.Unsere Ergebnisse zeigen, dass der aktuelle Algorithmus nicht in der Lage ist, die Pendulum Swing- Up Aufgabe zuverlassig zu losen. Der Algorithmus kann das Pendel jedoch halten, wenn dieses bereits aufrecht steht. Weiterhin haben wir festgestellt, dass der Al- gorithmus nicht fur Agenten mit eingeschrankten Handlungsraumen geeignet ist, auser wenn das Ziel direkt erreicht werden kann.This thesis explores look-ahead planning in a continuous, open-horizon task aimed towards reinforcement learning algorithms. Look-ahead planning optimization uses a world-model to predict future states given a sequence of actions and uses reinforcements from those states to optimize the actions with gradient descent. The goal of this thesis is to show the capabilities of the algorithm for reinforcement learning, represented by the pendulum swing-up task. Our results show that the current algorithm is not capable of solving the swing-up task reliably. However, it can hold the pendulum once it is upright. Further, we found that the algorithm is not suited for agents with constrained action-spaces, except when the goal can be reached directly.
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series

Electronic health records (EHR) consist of longitudinal clinical observations portrayed with sparsity, irregularity, and high-dimensionality, which become major obstacles in drawing reliable downstream clinical outcomes. Although there exist great numbers of imputation methods to tackle these issues, most of them ignore correlated features, temporal dynamics and entirely set aside the uncertainty. Since the missing value estimates involve the risk of being inaccurate, it is appropriate for the method to handle the less certain information differently than the reliable data. In that regard, we can use the uncertainties in estimating the missing values as the fidelity score to be further utilized to alleviate the risk of biased missing value estimates. In this work, we propose a novel variational-recurrent imputation network, which unifies an imputation and a prediction network by taking into account the correlated features, temporal dynamics, as well as the uncertainty. Specifically, we leverage the deep generative model in the imputation, which is based on the distribution among variables, and a recurrent imputation network to exploit the temporal relations, in conjunction with utilization of the uncertainty. We validated the effectiveness of our proposed model on two publicly available real-world EHR datasets: PhysioNet Challenge 2012 and MIMIC-III, and compared the results with other competing state-of-the-art methods in the literature.
Buzz Group Technique to Increase Writing Skill at EFL Students of Junior High School in Indonesia

This research aimed to find out whether there was a significant difference of writing skill achievement between EFL students who were taught using Buzz Group technique and those who were taught using a conventional method by expecting the Buzz Group technique improved EFL student's writing skill achievement at SMP Negeri 7 Baubau, Southeast Sulawesi. Design of this research was a quasi-experimental in which there were 22 students in both control and experimental groups. The findings of this research obtained: 1) the mean score of EFL student's writing skill at pretest in experimental class was 51.09 in low category and the mean score of posttest was 72.18 in high category; 2) the mean score of EFL student's writing skill at pretest in control class was 49.82 in low category and the mean score of posttest was 56.36 in moderate category; 3) the score of Asymp. Sig. (2-tailed) from hypothesis test was 0.000 in which it was less than 0.05. Therefore, this research concluded that there was a significant difference between of writing skill achievement between EFL students who were taught using Buzz Group technique and those who were taught using the conventional method at SMP Negeri 7 Baubau. In addition, the use of Buzz Group technique is better than the conventional method to improve ESL Student's writing skill achievement.
Correction to: Joint Motion Compensation and MC-Reused Spatial Error Concealment on Hardware Architecture Design

I am the author of this paper published in Journal of Signal processing Systems.
Relationship with knowledge and gender: a typology of successful behaviors at school based on the characters of J. K. Rowling

The purpose of this article is to generate plausible interpretations of the reasons and motives that young men and women establish a different with the educational institution, which has led -women in more advanced societies to surpass men in education. It is based on a review of the main aspects of the theory of relationship with knowledge, as developed by Bernard Charlot. Although Charlot's theory constitutes the conceptual framework of analysis, it is made to dialogue with the contributions of other theorists such as Max Weber, Margaret Archer and Michael FD Young. Methodologically, the analysis is based on the typology of the behavior of characters in a work of fiction aimed at young audiences. It concludes by showing aspects of the teaching situation in modern educational institutions, which favor the generation of a with more positive knowledge in women than in men.
IMPLEMENTASI PENDIDIKAN KARAKTER SISWA DALAM LITERASI DIGITAL ERA REVOLUSI INDUSTRI 4.0

World development has now entered the era of industrial revolution 4.0, the form of human life has been based on information. Therefore, in preparing graduates who are qualified and able to compete globally, as well as mastering the development of technology is very important for all people and for the future of a nation and country. Therefore digital literacy needs to be developed in the world of education today to build a better national character and be better prepared for the 21st century education era. The purpose of this article is to find out how to build the character of students as students from elementary to high school through literacy (Digitalage Literacy) in learning to face 21st century education. Have an understanding of these digital literal dimensions and can develop material and digital literacy learning methods in schools and outside schools, in order to face the 21st century education era (Industrial Revolution 4.0). This study uses Qualitative Descriptive method with a scientific background, the purpose of interpreting the phenomena that occur in the current environment, data obtained through observation, interviews and documentation