Reviewerly/exHarmony huggingface dataset:
Closing the Algorithmic Gap:

This article is concerned with regulation of dynamic pricing algorithms under the EU competition regime. We show that the competition rules as presently interpreted fail to inadequately capture the harm to consumer welfare that dynamic pricing algorithms may cause. This creates an enforcement ‘gap’ in a competition regime which purports to protect consumer welfare. We then argue the existing rules need to be slightly reframed, if such algorithmic practices are to be effectively controlled. This reformulation includes regarding coordinated price elevation as a concerted practice which Articles 101 and 102 TFEU can interdict, viewing price elevation in algorithmic markets as a form of tacit collusion and as a breach of dominant undertakings’ special responsibility not to further weaken competition in a market. Our suggestions are consistent with existing Article 101 and 102 TFEU case law and allow for a more effective response to any welfare reducing threat found in algorithmic markets. Keywords: Article 101 TFEU, Article 102 TFEU, algorithms, dynamic pricing, tacit collusion, object/effects, concerted practice
Frequency lists of word parts from the GOS 1.0 corpus 1.1

Frequency lists of words split into word parts were extracted from the GOS 1.0 Corpus of Spoken Slovene (http://hdl.handle.net/11356/1040) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all lemmas, lower-case word or word occurring in the corpus, split into their initial or final part (i.e. the initial or final string of 1, 2, 3, 4 or 5 characters in the word) and the rest. In addition, the lists also contain absolute and relative frequencies, percentages, and distribution across the text-types included in the corpus taxonomy.The lists were extracted for each part-of-speech category. For each part-of-speech, a total of 30 lists were extracted:1) 10 lists for initial or final word parts extracted from lemmas,2) 10 lists for initial or final word parts extracted from lower-case word forms,3) 10 lists for initial or final word parts extracted from word forms.In addition, 30 lists were extracted from all words (regardless of their part-of-speech category).Compared to the previous version (http://hdl.handle.net/11356/1270), this one includes fixes of several typos and substitutes all instances of normalized forms with the more adequate term standardized forms (as used in the SSJ project).
The characteristics of spelling learning tools oriented to increasing Higher Order Thinking Skills in Elementary Schools

The purpose of this study was to describe the characteristics of a spelling learning syllabus oriented towards improving Higher Order Thinking ( Berpikir Tingkat Tinggi /BTT) skills in elementary schools; describe the characteristics of lesson plans for spelling learning oriented towards improving BTT abilities in elementary schools; describe the characteristics of the spelling learning LKPD oriented towards improving BTT abilities in elementary schools; and describe the characteristics of the spelling learning assessment oriented towards improving BTT abilities in elementary schools. This research is included in qualitative descriptive research. The data and data sources in this study were spelling learning tools oriented towards improving BTT skills in elementary schools. The data in this study were collected using documentation techniques, FGD, and questionnaires. The theory and source triangulation were used to validate the data. Interactive analysis techniques as data analysis techniques. The results showed that the spelling learning syllabus was oriented towards improving BTT abilities in elementary schools which had the characteristics of developing 21st century skills, focused-integrated, actual and contextual, flexible, and feasible; The lesson plan for spelling learning is oriented towards improving BTT abilities in elementary schools. It has the following characteristics: integrated, deep, and contemporary; Spelling learning LKPD oriented to improving BTT abilities in SD has the following characteristics: focus, activate students, and be interesting; Assessment of spelling learning to improve the BTT of elementary school students has the following characteristics: a contextual and holistic stimulus
Analisis Distribusi Frekuensi dan Periode Ulang Hujan

Increasing water demand for various needs can be a complex problem so it is necessary to manage water resources. Analysis of hydrological data is very necessary to get information about water resources where the information can be used as a benchmark for planning a water resources builder. One of hydrological analysis is the analysis of rainfall data where this analysis uses frequency distribution analysis and rain return periods. There are four types of distribution used, namely normal distribution, normal log distribution, Gumbel distribution and type III log Pearson distribution. The goodness of fit test uses the Kolmogorov-Smirnov method, Chi-Square and Anderson-Darling. Rainfall return calculation is calculated when it is known the type of distribution of the data studied. This research uses rainfall data of Long Iram Sub-Distric, West Kutai Distric in 2013 to 2017 obtained from the Meteorology, Climatology and Geophysics Agency (BMKG) of Samarinda City. The results from research showed that the Gumbel distribution was the right distribution or distribution that was the best with the results of the return period of rain for the return period of 2 years obtained by rainfall of 519 mm, 5-year return period of 796 mm, 10-year return period of 980 mm, return period 20 years of 1.154 mm, a 50 year return period of 1.348 mm and in a 100 year return period of 1.752 mm.
Establishment of regional background for heavy metals in the soils of the Lower Don and the Taganrog Bay coast

Data on the regional geochemical background and threshold values of heavy metals are required to establish anomalies and assess soil pollution. As a rule, the background values are the average contents of elements in natural undisturbed soils, or the threshold values for the study area, obtained by statistical methods. The aim of the study is to obtain geochemical threshold values of heavy metals in the soils of the Lower Don and the Taganrog Bay coast using different statistical approaches. A total of 86 topsoil samples were collected from the study area. The concentrations of Cr, Mn, Ni, Сu, Zn, As, Cd, and Pb were analyzed by X-ray fluorescence. The median element concentrations in the soils of the study area were consistent with world soil average and metal concentrations in background soils of protected area. Using a ‘geochemical’ approach is not suitable for this dataset because it does not take into account the natural variability of concentrations in different soil types. The Tukey inner fence method delivers estimates that do not detect outliers for Ni, As, Cd, and Pb. The ‘median + 2 median absolute deviations’ method was the most appropriate, as it consistently provided the most conservative background values.
Implementing Podcasts Approach in Teaching EFL listening classroom: improvement on comprehension

Listening is the key to all effective communication without the ability to effectively listen to easily misunderstood messages, communication breaks down and messengers can easily become frustrated or irritated. English teaching media are very important to help students for get new concepts of the language ability and language competences. Podcasts are audio files available on the internet. the advantages of podcasts, selection of the most beneficial ones, and discusses how to maximize learning from them. The advantages of podcasts are: 1) students can benefit from global listening, even if they only listen to from three to five minutes a day; 2) students will be exposed to a new language; 3) middle level learners have a need for authentic texts and are exposed to a variety of voices. The objective of this research is Implementing Podcasts Approach in Teaching EFL listening classroom: improvement on comprehension. This research classroom action research, which was carried out through four steps. That is, action, observation, and reflection. The subjects of the research were the VIII B grade Students of in SMP N 2 South Bengkulu which consisted of 30. In during this research, the data analysis technique was applied by using qualitative and quantitative. The qualitative was taken from interview, observation sheet, and documentation. The quantitative was taken from the test. The result of this research as follows: in the pre-assessment of listening test, the students were included into Very Poor category with means of the students score (48,8). In the listening test in cycle 1, the students were included into poor category. with means of the students score (57,4). In the listening test in cycle 2, the students were included into average category with means of the students score (63,36). Meanwhile in the listening test in cycle 3, the students were included into good category with means of the students score (76,2). In this case there is an improvement in the score from listening test. Here the researcher got the conclusions in listening by using podcasts approach. The use of podcasts approach can improve students’ in listening by adapting the material with the students’ need, interest, etc. It can be started also from the low level to the higher. The teacher also create some fun activities using podcasts approach for the students.
A Case Study of In-House Competition for Ranking Constructive Comments in a News Service

Ranking the user comments posted on a news article is important for online news services because comment visibility directly affects the user experience.Research on ranking comments with different metrics to measure the comment quality has shown "constructiveness" used in argument analysis is promising from a practical standpoint.In this paper, we report a case study in which this constructiveness is examined in the real world.Specifically, we examine an in-house competition to improve the performance of ranking constructive comments and demonstrate the effectiveness of the best obtained model for a commercial service.
User Reputation Calculation for Service Oriented Environments

All the cloud based applications work on service oriented architectures and collaborate with multiple components from other services to execute discreet application logic. In this environment there are a lot of Web services facilitated to the customer to make the systems. As the potential of the same Web service will change with respect to users’ needs. On an average a user will be heavily relied on tools to aid their activities on the internet vice versa the Service provider are also dependent on the users profile and what services are being used in the system. A User Reputation model offers a solution to the Service providers in supporting their service decision based on the User Profile. This model takes usage ratings as data and produces a personalised score. We suggest a new Cumulative separation on the basis of Tags and popularity estimation method and showcase its enhanced filtration ability.
An Intelligent Image Inpainting Autoencoder Model for Irregular Mask

Image inpainting is a method of filling in the best conceivable artifacts in the missing, damaged or blurring portions of a digital image or filling in the holes as opposed to eliminating the objects that exist in the image utilizing the data from the best region neighboring the holes. The existing inpainting methods had rendered the immeasurable result in reconstructing the damaged area in the picture. For the filling, however, the missing parts, which affect the complex structure and texture, are still a challenge. Deep learning that mimics the human brain makes a great impression on studying the missing part by extracting many features and choosing the most suitable loss.In this study, an automatic encoder technique using a partial convolutional layer to process irregular masks is being used.  The high-level feature losses are used in addition to l1 and l2 losses to reconstruct the damaged image. The Dice coefficient loss function is used to train the model to find the closest inpainted image that corresponds to ground truth image.The performance of the trained model is validated and tested on celeba dataset with the irregular mask and quality of image is assessed by evaluating the Peak Signal-to-Noise (PSNR) and Structural Similarity Index (SSIM). Our model provides mean PSNR of 24.82 dB and mean SSIM of 91.86. The result shows that the intelligent image impainting model for irregular mask outperforms the existing image inpainting techniques.
Fine-Grained User Location Prediction using Meta-Path Context with Attention Mechanism

The prevalence of Location-Based Social Networks (LBSNs) significantly improves the location-aware capability of services by providing Geo-tagged information. Relied on a great number of user check-in data in the location-based social networks, their essential mobility modes are able to be comprehensively studied, which is basic for forecasting the next venue where a specific user is going to visit considering his relevant historical check-in data. Since there exist different kinds of nodes and interactions between nodes, these information could be look upon as a network that is made up of heterogeneous information. In this network a few of different semantic meta paths could be obtained. Enlightened from the competitive advantage of embedding method relied upon meta-path contexts in the heterogeneous information network, we study a joint deep learning scheme exploring different meta-path context information to forecast fine-grained location. In order to capture different semantics in a user-location interaction, we adopt a simple but high-efficient attention method to learn the meta-path importance or weights. In the terms of model optimization, considering we have only positive sample data and there exists intrinsically latent feedback in check-in information, herein a pairwise learning method is utilized for maximizing the margin between visited and invisible venues. Experiment in different data-sets validate the competitive performance of the suggested approach under different assessment criterion.
Loss Magnitude Estimation in Support of Business Impact Analysis.

This report describes the initial results of a research project to develop a transparent estimation method. This method leads to greater confidence in and improved ranges for estimates of potential cyber loss magnitude. The project team refined the Cybersecurity & Infrastructure Security Agency, Office of the Chief Economist (CISA OCE) Business Impact Analysis (BIA) method to support this estimation approach, including identifying factors and forming questions to ask stakeholders to elicit input for the loss magnitude estimation process. The project team also characterized the context for using factor tree analysis to produce an executable model in support of the refined BIA method since it can be applied to future cybersecurity assessments.
Ethics of Speech Acts in Learning Indonesian Language SMP Negeri 2 Palopo

The purpose of this study was to describe the ethics of speech act of students in learning Indonesian language class VIII SMP Negeri 2 Palopo. This study examines the speech acts of students in the Indonesian learning process. The first thing that is seen is the ethics of student speech acts. The subjects were the teachers of Indonesian language subject who taught in class VIII SMP Negeri 2 Palopo, while the object of the study was speech acts of locution, illocution, and prlocution of teacher on the learning process of Indonesian language subjects class VIII SMP Negeri 2 Palopo. Speech discourse produced from communication between teacher and students or students and students in the learning process becomes a source of natural language events in accordance with class socioculture. Researchers collected data using a combination of direct observation techniques, recordings, and field notes. Data obtained directly in the field without giving any treatment to students so that researchers play a role in non-participation. This is intended to maintain the principle (nature) of this research which places researchers as the main instrument in data collection. The ethics of speech acts committed by students, namely by using the word please. This is done to make it look familiar in governing his own friend. Another ethics of speech act is the use of local dialects. By using this dialect, familiarity in the form of informal relationships is established among students in the class. Speech acts conducted by students against the teacher, do not increase intonation or pressure when speaking. The ethics of speech acts of students to teachers is fairly good, because students are able to control the tone or intonation when doing speech acts during the learning process in class.
PERSONAL FEATURES OF TEACHERS AS DESCRIPTORS OF MANIFESTATION OF PSYCHOLOGICAL BARRIERS IN AN INNOVATIVE PROCESS

This article presents a study of the relationship of personal characteristics and the manifestation of this fact in the innovation process. The indicated problem appears in psychology as a manifestation of conservatism, conformism, and other psychological and socio-psychological phenomena, collectively called “psychological barriers”, which are understood as difficulties in a person’s activity, caused by the characteristics of his mental state and personal characteristics “preserving” the potential of his activity. types of psychological barriers, their specificity in the innovation process is disclosed. The article shows that such personality characteristics as the external locus of control, external professional motivation, conservatism and certain value orientations influence the rejection of innovations and will be more pronounced among high school teachers than among higher school teachers. The results and conclusions presented by the authors can be useful in the preparatory stage of innovations in the education system to prevent the formation of psychological barriers and increase the effectiveness of the implementation process
PENGEMBANGAN E-BOOK BERBASIS MULTIMEDIA PADA PEMBELAJARAN IPA KELAS VIII SESUAI DENGAN GAYA BELAJAR PESERTA DIDIK UNTUK MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR

This study aims to reveal: how is the process of developing multimedia-based e-books on learning natural science (IPA) valid ?, how is the practicality of multimedia-based e-books on science learning ?, how is the effectiveness of developing multimedia-based e-books on science learning? . the source of the data of this study was the eighth grade students of SMP N 2 Padang in science learning, in the form of a questionnaire of validity, practicality and effectiveness. The results of this study were found from the validity test of 3 aspects namely aspects of media, material and language. Next test the practicality of teacher responses and student responses. While the effectiveness test seen from the results of learning and student learning activities. The results of the average product validity got a value of 91.34% the category is very valid, the average practicality of student responses 89.7% category is very practical. The average practicality of teacher responses 75% practical category. While the effectiveness test results of student learning outcomes obtained an average of 81.05% effective category and the value of student activities 91.25% very effective category. Based on the above data it can be concluded that multimedia-based e-books on natural science learning are valid, practical, and effective in the learning process.
Countering Public Hate Speech

This chapter considers how we should respond to deeply disrespectful or hateful public speech. Unless public hate speech is countered appropriately, it risks eroding the standing or dignity of its targets, and thereby preventing them from participating effectively in democratic public discourse. It is often held that this problem cannot adequately be addressed via ‘more speech’, and that, consequently, we must legally suppress hate speech. But this view relies on an overly limited understanding of how we might counter hate speech with more speech. First, it overlooks the role that the state can play in endowing ‘counterspeech’ with authority. Second, it overlooks the distinction between ‘negative’ counterspeech (which focuses on rejecting hateful perspectives) and ‘positive’ counterspeech (which instead affirms a countervailing and inconsistent perspective). Counterspeech that is both state-sponsored and positively framed constitutes a prima facie preferable tool than legal norms for upholding the standing of targets of hate speech.
Implicit Meaning of Single Word in Utusan Malaysia News Headline

News headline is the main part that will be able to attract reader to read the entire content of the news.However, there are some news headline are written by using words whose meaning is not clear.This will cause the information that they want to delivered to the reader can not be conveyed accurately and effectively.Because of that, research about news headline is done based on two objectives.The aims of this study is to identify single words that have an implicit meaning in the news headline of Utusan Malaysia newspaper and analyze the implicit meaning that found in the news headline of Utusan Malaysia newspaper.The data were be collect from April 2, 2018 until May 31, 2018.Moreover, only news that are related to the issue of the 14th General Election (GE-14) were selected as data.In addition, this study was conducted by using a descriptive qualitative approach.The research method that will used in this study is the content analysis method.Next, the data will be analyzed by using Semiotic Theory which is introduced by Charles Williams Morris (1971).The result of the study have shown that there are 15 news headline consist of single words with implicit meaning.Each single words will be analyzed through two parts which is semantic and pragmatic.The results of this analysis have shown that this theory is able to unravel this implicit meaning based on the context of the news.Therefore, this study will be able to help the reader to understand the implicit meaning that found in the news headline.
Stereoscopic 3D Plots

In this chapter, we describe the basic elements for constructing stereoscopic 3D plots of analytical functions. A screenshot of this program obtained from an Android cell phone is shown in Figure 8-1.
Fun Mini Projects Galore!

In the previous chapter, we took a deep dive into the four pre-defined data structures offered by Python, namely, list, set, tuple, and dictionary. We looked at how to create them, delete them, manipulate them, and so much more. Finally, we looked at how to use them in programs and why they’re useful in real-world programming scenarios.