Reviewerly/exHarmony huggingface dataset:
Den (över)sociala polisen: en rättssociologisk studie kring polisens närvaro i sociala medier

The presence of the police in social media may be considered going against the otherwise factual, professional and impartial authority which they are lawfully required to maintain. This, as a result of social media communication tending to be less formal than traditional methods of communication. The aim of this thesis is to examine the social media presence of the Swedish Police from several different perspectives. Firstly, a legal investigation of the Swedish laws and regulations applicable to the presence of the police in social media is presented in order to determine its legal obligations and rights. Thereafter, the police’s implementation of these laws is investigated. This is done with the help of relevant documents regarding decisions from the Parliamentary Ombudsmen (JO) that works to ensure that all Swedish public authorities comply with the law. Finally, through a web survey, the thesis examines whether there is a gap between public expectations of the role of the police compared to how the police expresses itself on social media. It is concluded that only a few complaints have been made and investigated by JO, which indicates that the police is implementing the laws as required. Furthermore, the survey shows that the public does not have a uniform expectation of the police. It is clear, however, that a majority of respondents were positive towards the police expressing itself more personally on social media. (Less)
More than pretty images – Towards confidence bounds on segmentation thresholds

We present an approach to assess the uncertainty associated to classifying voxels into different material phases. The approach consists in a spectral deconvolution of the grey-level histogram using a Gaussian mixture approach, followed by an iterative classification procedure based on the occurrence frequency. As phase attributions become increasingly more uncertain as iterations proceed, confidence bounds on the final segmentation are naturally obtained.
POSITIVE POLITENESS STRATEGIES REFLECTED IN ANAK SASADA MOVIE

This research was focused on the topic about positive politeness strategies reflected in Anak Sasada movie. This study was aimed to describe the types of positive politeness stategies employed by the characters in Anak Sasada movie. To describe the positive politeness strategies realized in the utterances employed by the characters in Anak Sasada movie. This study was conducted by descriptive qualitative method. The source of data was taken from Anak Sasada script movie. The data was collected by using documentary sheet. The technique for analyzing the data is descriptive qualitative research.The results of the study show the important points. There are ten types of positive politeness strategies employed by the characters in Anak Sasada movie when having conversation: Among all strategies, Notice is the most frequent strategy as the characters need to share notice with the others. Notice strategies (16 out of 77), Use Solidarity in Group Identity Markers (15), Offer or promise (3), Exaggerate (approval, sympathy with hearer) (6),  Joke (5 out of 77), Assert or Presupposes Speaker’s Knowledge Aggreement (1), Give (Ask for) Reasons (11 out 77), Give gifts to Addressee (goods, symphaty, understanding, cooperation) (8 out of 77). Keywords : Politeness , Toba Batak, Positive Politeness
Due Dates and Loan Periods: The Impact on Faculty and Graduate Research

Supplemental data for this article can be accessed on the publisher's website.CONTACT Dan Schoonover dschoonover@fsu.edu Florida State University, Strozier Library, 116 Honors Way, Tallahassee, FL 32306, USA.
Walk-Through Corporate Aesthetics: Design Affordances in Tech Workspaces

Abstract The article at hand analyses the aesthetic dimension of contemporary “tech companies,” particularly how their characteristic rhetoric of creativity, collaboration and disruption is built into the aesthetics of the physical work environments. For that purpose, proceduralist reading and environmental storytelling, usually applied to analyse meaning-making in digital game spaces, are adapted to conduct a comparative spatial affordance analysis on material from Officesnapshots, one of the largest online repositories for workspace documentation. Expanding upon earlier definitions of spatial affordances as quasi-textual features, the article defines the design elements of tech offices as a continuation of verbal and (audio-)visual corporate rhetoric employed by companies like Google, Facebook or Etsy. It thereby contributes a material-semiotic dimension to current debates about the epistemic implications of these software platforms, which José van Dijck summarises using the term “platform society.” Besides game and play studies, elements of architectural semiotics and cultural analyses of support spaces (e.g. Kracauer 1999 and Moran 2005) as well as broader concepts such as the politics of theming (Freitag 2017) or the embedding of digital technologies into physical spaces (Kitchin and Dodge 2011) complement the theoretical framework.
The Role of Debugging in Knowledge Construction

Hjorth and Wilensky’s target article describes two important tools for helping students debug their conceptual misconceptions: the NetLogo model, and results from Association Rule Mining. In this…
Developmental corpus ccŠolar 1.0

The ccSolar corpus contains 1693 texts collected during 2016-2018, as part of the upgrade of the corpus Solar project. The project aims were to increase the size of the Solar 1.0 corpus and to improve text balance across regions and education level. For each text, the information on school (elementary or secondary), subject, level (grade or year), type of text, region and date of production is provided.The ccSolar 1.0 corpus is offered separately because the new texts were collected under CC BY 4.0 licence, a more open licence than the earlier texts.
On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations.

Rectified Linear Units (ReLU) have become the main model for the neural unitsin current deep learning systems. This choice has been originally suggested asa way to compensate for the so called vanishing gradient problem which canundercut stochastic gradient descent (SGD) learning in networks composed ofmultiple layers. Here we provide analytical results on the effects of ReLUs onthe capacity and on the geometrical landscape of the solution space intwo-layer neural networks with either binary or real-valued weights. We studythe problem of storing an extensive number of random patterns and find that,quite unexpectedly, the capacity of the network remains finite as the number ofneurons in the hidden layer increases, at odds with the case of threshold unitsin which the capacity diverges. Possibly more important, a large deviationapproach allows us to find that the geometrical landscape of the solution spacehas a peculiar structure: while the majority of solutions are close in distancebut still isolated, there exist rare regions of solutions which are much moredense than the similar ones in the case of threshold units. These solutions arerobust to perturbations of the weights and can tolerate large perturbations ofthe inputs. The analytical results are corroborated by numerical findings.
OGNet: Salient Object Detection with Output-guided Attention Module.

Attention mechanisms are widely used in salient object detection models based on deep learning, which can effectively promote the extraction and utilization of useful information by neural networks. However, most of the existing attention modules used in salient object detection are input with the processed feature map itself, which easily leads to the problem of `blind overconfidence'. In this paper, instead of applying the widely used self-attention module, we present an output-guided attention module built with multi-scale outputs to overcome the problem of `blind overconfidence'. We also construct a new loss function, the intractable area F-measure loss function, which is based on the F-measure of the hard-to-handle area to improve the detection effect of the model in the edge areas and confusing areas of an image. Extensive experiments and abundant ablation studies are conducted to evaluate the effect of our methods and to explore the most suitable structure for the model. Tests on several data sets show that our model performs very well, even though it is very lightweight.
An Event Study on Blockchain Investment

본 논문은 글로벌 블록체인 산업의 최근 동향을 확인하고 실증분석을 통하여 그러한 경향이 국내에서도 나타나는지를 확인해보고자 한다. McKinsey가 제시한 글로벌 블록체인 산업의 주요동향은 다음과 같다. 첫째, 금융산업의 블록체인 사업화의 2단계 산업 라이프사이클 진입 실패 가능성이다. 둘째, 유통업, 제조업 등의 업종에서 블록체인 사업 활성화 경향이다. 셋째, 크립토커런시 시장의 불확실성 증대와 여타 산업분야의 블록체인 사업화 활성화 가능성이다. 국내에서도 이러한 유형의 블록체인 산업동향이 나타나는지를 확인하기 위하여 본 논문은 2014년~2018년 사이에 이루어진 176개의 블록체인 투자표본에 대한 사건연구를 실시한 후 다음 결과를 얻었다. 첫째, 금융업종에서 블록체인 투자의 이상수익률은 유의한 값을 나타내었으나 유통서비스 업종에 비해 상대적으로 낮게 나타났다. 둘째, 유통업과 기술제조업의 블록체인 투자가 상대적으로 높은 이상수익률을 나타내었다. 셋째, 크립토커런시 시장심리가 침체되는 시기에 이상수익률이 상대적으로 크게 나타나고, 시장심리가 상승하는 시기에 이상수익률은 작게 나타났다. 이상의 결과들은 글로벌 블록체인 산업의 주요 경향이 우리나라에서도 부분적으로 관철되고 있음을 말해준다. 강건성 검정으로 상하위 5% 극단적 수익률을 제거한 이후에도 이상수익률의 유의성은 유지되었다. 글로벌 블록체인 산업의 주요 동향이 국내에도 관철되고 있다는 사실의 시사점에 주목할 필요가 있다.This paper surveys recent trends of global blockchain industry and tries to confirm whether such tendency appears in Korea through empirical analysis. The major trends in the global blockchain industry presented by McKinsey are as follows. First, there is a possibility that the blockchain commercialization of the financial industry will fail to enter the second phase of the industrial life cycle. Second, there is a tendency that the blockchain business is active in the industries such as the distribution service and the manufacturing industry. Third, the uncertainty in the crypto-currency market is likely to increase the possibility of commercialization of blockchain in other industries. In order to confirm whether this type of blockchain trends exist in Korea, this paper conducted event studies of 176 block-chain investment announcements from 2014 to 2018. Based on this empirical analysis, this paper found that the main tendency of the global blockchain industry were partially appeared in Korea. The fact that the major trends in the global blockchain industry are domesticated in Korea helps to clarify the current complex and erroneous discussion on blockchain and crypto-currency.
The Effect of the Strategy (Mental and Informational) on the Ability of Pupils in the Fifth Grade in Primary School in Reading Material

The research aims at identifying the effect of strategy (mental and informational) in the language ability of pupils in the fifth grade primary school in reading material, the researcher adopted the method of experimental research as a methodology for conducting research which includes an independent variable (mental and informational strategy, the usual method) and a dependent variable (linguistic ability), where the researcher adopted experimental design with partial settings to adjust the search variables, and before applying the experiment the researcher conducted equivalence between the two research groups for the purpose of obtaining accurate results and objective in the following variables (half-year grades, the chronological age is calculated in months, parents’ achievement), the completion of the application of the experiment, the researcher applied its research tool to the two groups of research, after correcting the answers of the students, the researcher obtained data for the two research groups, the data were statistically treated by t-test of two independent samples, the results showed the superiority of the experimental group, which was studied according to a mental and informational strategy for the control group, which was studied in the usual way in the linguistic ability variable.
Music-search behaviour on a social Q&amp;A site: A cross-gender comparison

While there have been numerous studies of music-search behaviour, little is known about gendered aspects of how it is carried out on social question and answer sites. The article examines gender differences manifested on one such site with regard to (a) the motivations of the person posing the question, (b) intervening variables that influence music-search behaviour and (c) the formulation of the questions. Results from manual categorisation and other analysis of 17,380 music-relevant questions collected from the site show that males who asked questions did so more often, provided more answers and had more followers than female question-posters. Males tended to include music context information in questions asking for ready reference, whereas females often asked questions in a second-person pronoun aiming for promoting discussion. Such research results add to the current understanding of music-search behaviour and contribute new insights that can inform development of better music services/systems.
Clustering of Medical Free-Text Records Based on Word Embeddings

Is it true that patients with similar conditions get similar diagnoses? In this paper we show NLP methods and a unique corpus of documents to validate this claim. We (1) introduce a method for representation of medical visits based on free-text descriptions recorded by doctors, (2) introduce a new method for clustering of patients' visits and (3) present an~application of the proposed method on a corpus of 100,000 visits. With the proposed method we obtained stable and separated segments of visits which were positively validated against final medical diagnoses. We show how the presented algorithm may be used to aid doctors during their practice.
Censorship in Israel

The unique features of the constitutional system of Israel must serve as the point of departure for any examination of that country’s experience with censorship. Foremost among these is the absence of a formal, comprehensive written constitution that includes explicit guarantees against infringements of free speech. The absence of a written constitution has been a perennial concern in Israeli politics, one that has been the occasion for mass demonstrations. Those seeking constitutional reform inevitably appeal to Israel’s Declaration of Independence, which contains a specific commitment to “a Constitution to be drawn up by the Constituent Assembly.” The law concerning censorship in Israel is suffused in irony. It is rooted in Britain’s Palestine Mandate legislation that once was the special target of outrage and contempt from those in Palestine who had been engaged in the struggle to establish an independent Jewish state.
Simulation of Object Movement Analysis

There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we'll call background. This research project is carried out to determine some of the basic simulation of object motion analysis algorithm that had been founded or developed or even researched and Supports the following types of video sources: AVI files, local capture device .This thesis report would bring a presentation of these algorithms for researchers to get a basic idea of performing an algorithm for simulation of object motion Analysis. One of the most common approaches is to compare the current frame with the previous one. It's useful in video compression when you need to estimate changes and to write only the changes, not the whole frame. But it is not the best one for motion detection applications. If the object is moving smoothly we'll receive small changes from frame to frame. So, it's impossible to get the whole moving object. Things become worse, when the object is moving so slowly, when the algorithms will not give any result at all. I used an image processing library for simplicity, it's not a video processing library. Besides, the library allows me to research different areas more quickly, than to write optimized solutions. I use LDA (Linear Discriminant Analysis) Algorithm for face and object detection. LDA maximizing the component axes for class separation. LDA tries to find projection axes, such as classes are best separated. LDA can be used not only for classification, but also for dimensionality reduction.
Research on Causes and Countermeasures of Juvenile SNS CYBER Verbal Abuse

Teenage SNS cyber verbal abuse affect not only mental but also physical features of daily lives, bringing ex-periences of rage, demoralization and...
Administration of the Tambov Seminary in 1867–1884

A special role in the public life of the Tambov province was occupied by the seminary. Particular importance in its development was attached to the administrative structure, a prototype of which is the current organization of higher educational institutions. The election of the rector was held on an alternative basis. The collegial body of management was the pedagogical assembly from 1867–1884. A new phenomenon for this period the seminary functioning was the general as-sembly, which included pedagogical (membership of 6 years) and regulatory (membership of 3 years). The pedagogical assembly was held once a month. Regulatory – once a week. The deci-sion was made by a majority of votes. This experience of introducing an elective element in the Tambov Seminary has had a useful influence on its activities. Unfortunately, not everywhere this practice led to positive results, which later seemed to be the reason for the abolition of this norm during the reforms of 1884, when it was decided that the Holy Synod nominate candidates for such important posts as rector and seminary inspector. It should be noted that similar reforms or “counter-reforms” carried out in the reign of Emperor Alexander III affected all educational institutions of the Russian Empire, including universities, where they toughened some norms of the university statute and, in particular, abolished the current provision according to which rector was elected for his post on an alternative basis.
Introdução à Programação de Computadores Quânticos

JAI comprises the work of senior researchers from SBC community, offering a unique opportunity for students and computer professionals to update themselves in different subjects, interacting with leaders of the most diverse research areas in Brazil. In 2019, JAI, held in Belem, comprised four mini-courses in advanced areas of knowledge in Computing. These are: 1) Introduction to the Programming of Quantum Computers; 2) How to program high performance applications with productivity; 3) Block Chains: Consensus Algorithms and Implementation in the Hyperledger Fabric Platform and 4) Authentication using Biometric Signals: Fundamentals, Applications and Challenges. These were selected from among 9 excellent proposals. The criteria took into account the reviewers' comments, the seniority of the speakers, demonstrated competence in their area of ​​activity, importance and scope of the proposed theme and potential to arouse the interest of young students, academics and professionals in the area.
"It's So Bomb": Exploring Corpus-Based Threat Detection on Twitter with Discourse Analysis

As social media increases in popularity, its ability to create culturally meaningful tools grows as well. One of the most promising tools is categorization software, which analyzes the linguistic data in social media posts to make predictions. It does with the help of corpus linguistics, a form of analysis designed to pick out the most frequent and/or significant words in a dataset. This study focuses on software intended to detect threats. While technology has the potential to flag threatening language used by groups or individuals, the text search strategies it currently uses often result in a high number of false positives, making it too unreliable for effective use. The software is most effective at marking whether or not a specific word is present in a tweet, not determining whether or not word is actually being used in a threatening way (e.g. I'm planning on killing him vs. this silence is killing me). Discourse analysis, which looks at the role context plays in language, could minimize these errors by helping researchers refine the software in a manner that more closely matches how people actually use language. The goal of project, then, is to investigate ways of combining corpus linguistics and discourse analysis with a Twitter database to improve threat analysis.
PENERAPAN METODE DEMONSTRASI PADA PEMBELAJARAN MENULIS TEKS PROSEDUR

This research is motivated by the curiosity of researchers regarding the process and results of improving students' skills in the procedure of writing text skills. What is the process and results of students' ability in writing procedure texts, namely by applying the demonstration method in the learning process? This study aims to determine the process and production results of procedural texts in class XI students using the demonstration method. The method used in this study is pre-experimental design. The sample used in this study is class XI Chemistry A, with a total of 25 students. Data collection techniques using the initial test (pretest) and the final test (posttest). Based on the results of the research the ability of students to write procedure texts before using the demonstration method obtained an average score (initial test) of 66.04 and after using the demonstration method obtained an average number (final test) 73.24. Our ability to write procedure texts increased to 7.2. so it can be concluded by using the demonstration method in class XI Chemistry A can improve students' ability in writing procedure texts.
“Naughty AlphaGo”: Transforming the Game of Computer Go into an Emotional Tangible Playground

The game of Go is a traditional board game originated in ancient China and has long been viewed as the most challenging of board games for artificial intelligence. In 2016, AlphaGo defeated a human professional player in 19 × 19 game with deep neural networks. The ground-breaking advance in computer Go brought artificial intelligence into public view and raised discussions on how to interact with machines in the future. However, AlphaGo is still a highly intelligent computer program without emotion and personality. This paper presents a novel game design of “Naughty AlphaGo”, which is an emotional Go robot player based on AI algorithm. Result shows that the emotion expression approach based on behavioral and kinematic characteristics can support human players’ perception about the AI player’s emotional states through interaction.
ReconViguRation: Reconfiguring Physical Keyboards in Virtual Reality

Physical keyboards are common peripherals for personal computers and are efficient standard text entry devices. Recent research has investigated how physical keyboards can be used in immersive head-mounted display-based Virtual Reality (VR). So far, the physical layout of keyboards has typically been transplanted into VR for replicating typing experiences in a standard desktop environment. In this paper, we explore how to fully leverage the immersiveness of VR to change the input and output characteristics of physical keyboard interaction within a VR environment. This allows individual physical keys to be reconfigured to the same or different actions and visual output to be distributed in various ways across the VR representation of the keyboard. We explore a set of input and output mappings for reconfiguring the virtual presentation of physical keyboards and probe the resulting design space by specifically designing, implementing and evaluating nine VR-relevant applications: emojis, languages and special characters, application shortcuts, virtual text processing macros, a window manager, a photo browser, a whack-a-mole game, secure password entry and a virtual touch bar. We investigate the feasibility of the applications in a user study with 20 participants and find that, among other things, they are usable in VR. We discuss the limitations and possibilities of remapping the input and output characteristics of physical keyboards in VR based on empirical findings and analysis and suggest future research directions in this area.