Reviewerly/exHarmony huggingface dataset:
Legalizing Racism

Symbolic InteractionEarly View BOOK REVIEW Legalizing Racism Michelle Smirnova, Michelle Smirnova msmirnova@gmail.com University of Missouri, Kansas City, MO, USASearch for more papers by this author Michelle Smirnova, Michelle Smirnova msmirnova@gmail.com University of Missouri, Kansas City, MO, USASearch for more papers by this author First published: 09 August 2021 https://doi.org/10.1002/symb.564Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
Empirical and theoretical in epistemology and philosophy of science

It is argued that the key problem of modern epistemology and philosophy of science is the problem of analyzing empirical material for which there is a lack of tools. It is shown that the theory of social relay races by M. Rozov (TSR) focuses on this and offers an original ontological model of the structure of knowledge. Only a theoretically built ontological model of cognition allows for a systematic collection of empirical knowledge, which is richly represented both in the history of science and in the real scientific practice of an actively working scientist.
Online identification of quantum states

We discuss online strategies for discriminating pure states with zero error when n copies of the states are provided. We rederive the binary case and extend the analysis to ternary symmetric states.
Chainex Decentralized Application Development &amp; Test Workbench

Decentralized services are increasingly being developed and their proper usage in different areas is being experimented with. Autonomous codes, which are also called smart contracts, can be developed with Integrated Development Environments (IDE). However, these tools lack live environment tests. The underlying blockchain technologies are also evolving and it is not easy to catch all the developments. There is a need for an easy-to-use interface by which the developers can see the results of their codes. Chainex decentralized application development workbench is developed to serve as an efficient way for the programmers to deploy smart contracts on the blockchain networks and interact with them easily. It can also be used for teaching decentralized application programming for junior blockchain developers on blockchain testbeds. Usage of Chainex will have an effect in decreasing the development time and the costs of decentralized application projects.
PERBANDINGAN PENGGUNAAN MODEL PEMBELAJARAN NUMBERED HEAD TOGETHER (NHT) DENGAN MODEL SNOWBALL THROWING TERHADAP KETERAMPILAN MENULIS TEKS PUISI SISWA KELAS VIII SMP N 1 SUNGAI BEREMAS

This research is motivated by the problem that students are still less skilled in writing poetry texts. This type of quantitative research with experimental models. The research sample was students VIII/40 SMP N1 Sungai Beremas (20/experiment 1 and 20/experiment 2). The research data was in the form of poetry text writing skill scores using the Numbered Head Together (NHT) model and the Snowball Throwing model for the eighth grade students of SMP N 1 Sungai Beremas. The results of this study can be considered as follows. First, the skill level of writing poetry text for VIII grade students of SMP N 1 Sungai Beremas using the Numbered Head Together (NHT) learning model obtained an average score of 60.83 with sufficient qualifications. Second, the skill level of writing poetry text of the eighth grade students of SMP N1 Sungai Beremas using the Snowball Throwing learning model with an average score of 70 with sufficient qualifications (LdC). Third, from the results of hypothesis testing that the alternative hypothesis (H1) is accepted at a significant level of 95% and dk = n1 + n2-2 because tcount&gt; ttable (2.15&gt; 1.66). In other words, there is a significant comparison between the use of the Numbered Head Together and Snowball Throwing learning models on the skills written by grade VIII students of SMP N1 Sungai Beremas.
Show Me Your Claims and I'll Tell You Your Offenses: Machine Learning-Based Decision Support for Fraud Detection on Medical Claim Data

Health insurance claim fraud is a serious issue for the healthcare industry as it drives up costs and inefficiency.Therefore, claim fraud must be effectively detected to provide economical and high-quality healthcare.In practice, however, fraud detection is mainly performed by domain experts resulting in significant cost and resource consumption.This paper presents a novel Convolutional Neural Network-based fraud detection approach that was developed, implemented, and evaluated on Medicare Part B records.The model aids manual fraud detection by classifying potential types of fraud, which can then be specifically analyzed.Our model is the first of its kind for Medicare data, yields an AUC of 0.7 for selected fraud types and provides an applicable method for medical claim fraud detection.
A Global Evolutionary Approach to Consciousness in Cognitive Science

At the present stage of consciousness research, there is an extraordinary variety of models of consciousness proposed by science and philosophy. In this regard, the construction of a typology of consciousness concepts is appropriate, as well as the dialogue of philosophy and cognitive science in the research of consciousness. The article compares the main approaches to the phenomenon of consciousness in cognitive science: neurobiological (neural network), informational (quantum informational), and nonlinear dynamic. The authors propose to include a global evolutionary approach in this typology. The global evolutionary approach is close to a nonlinear dynamic view, but the understanding of consciousness is refined by the inclusion of control parameters that exerted impact to the sociocultural stage of universal evolution. Creativity has a special role to play in this approach. The classification is based on ideas about the real evolution of consciousness and its participation in the global evolutionary process. In such a context, consciousness is understood as a complex self-developing system, but its functioning is conditioned by the cognitive activity of the brain, body, culture, and the world. The article reveals the concepts, in which the explanation of consciousness can be correlated with the global evolutionary approach. They include the emerging modern concepts of embodied cognition, the theory of spatio-temporal neuroscience by G. Nortoff, as well as the concept of consciousness by T. Metzinger. The authors generate the hypothesis about the expediency of using the methodology of the second-order observer to discuss the problem of a unified theory of consciousness. The article indicates the correlation of these theories with the global evolutionary approach, in which the functioning of consciousness is not reduced to neural network structures of the brain, but extended to a view that consciousness is a part of the world and at the same time includes it. Thus, consciousness has a creative evolutionary potential, due to which it builds holistic images and encompasses irrational, creative parameters. The authors suggest a hypothesis about the possibility to combine first-person and third-person studies of consciousness based on the methodology of the second-order observer. In this assumption, they assess consciousness performing the function of an observer on the basis of the methodology of the second-order observer (V.I. Arshinov) and the interpretation of observation as an operation that reproduces the observer (D. Becker). The observer of complexity (the observer of the second order) in this context is consciousness, or rather self-consciousness. The observer simultaneously observes and generates processes, forming a kind of an “assemblage point” of reality, in which the agent-based properties of the observer of complexity are manifested.
Counting Processes

We introduce counting processes, and we discuss the Poisson process and its intensity in some detail.
Pembelajaran Game Desain dalam Desain Komunikasi Visual

This paper is an attempt to place Game Design Elective Courses in the Visual Communication Design Study Program, especially Visual Communication Design ISI Yogyakarta.The placement includes what the position or relationship of game design with visual communication design looks like.Efforts to find a way to place it through observing Game Design learning archives, observing game design in (print) media.From both of them, try to make a table of placement or relationship between game design and visual communication design.The game in this paper is placed not as a goal but a tool, and it is precisely as a tool that game design is close to visual communication design, namely as a medium for delivering messages, as a means and not as an end.In short, game design as a medium of visual communication.
Context-Aware Verification of DMN

The Decision Model and Notation (DMN) standard is a user-friendly notation for decision logic.To verify correctness of DMN decision tables, many tools are available.However, most of these look at a table in isolation, with little or no regards for its context.In this work, we argue for the importance of context, and extend the formal verification criteria to include it.We identify two forms of context, namely in-model context and background knowledge.We also present our own context-aware verification tool, implemented in our DMN-IDP interface, and show that this context-aware approach allows us to perform more thorough verification than any other available tool.
Gesture Recognition with Complex Background Based on Improved Convolutional Neural Network

Vision based gesture recognition is a research hotspot in the field of human-computer interaction. Existing techniques are inefficient to deal with situations of drastic illumination changes and complex background. This paper is based on the basis of edge detection, individual difference is fused for threshold segmentation to improve the accuracy of hand cutting. In the stage of feature extraction and classification, constructing basic convolutional neural network and support vector machine is used for gesture recognition of geographic information in complex environment. Experiments were carried out on 14 gestures in complex background and skin color like scenes, and the average recognition rate was 98.73%. Our method can effectively segment and recognize gestures in various complex backgrounds and skin color backgrounds, meet the needs of engineering projects, with low hardware requirements.
Triphone Model Based Novel Kannada Continuous Speech Recognition System using Kaldi Tool

Accent is one of the issue for systems. Automatic Speech Recognition systems must yield high performance for different dialects. In this work, Neutral Kannada Automatic Speech Recognition is implemented using Kaldi software for monophone modelling and triphone modeli acoustic models are constructed using the techniques such as monophone, triphone1, triphone2, triphone3 modeling, grouping of interphones is performed. Feature extraction is performed by Mel Frequency Cepstral Coefficients. The system performance is analysed by measuring Word Error Rate using different acoustic models. To know the robustness and performance of the Neutral Kannada Automatic Speech Recognition system for different dialects in Kannada, the system is tested for North Kannada accent. Better sentence accuracy is obtained for Neutral Kannada Automatic Speech Recognition system and is about 90%. The performance is degraded, when tested for North Kannada accent and the accuracy obtained is around 77%. The performance is degraded due to the increasing mismatch between the training and testing data set, as the Neutral Kannada Automatic Speech Recognition system is trained only for neutral Kannada acoustic model and doesn't include north Kannada acoustic model. Interactive Kannada system is implemented to identify continuous Kannada speech sentences.
PENGEMBANGAN MEDIA PUBG UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SD

This study aims to: (1) developing pictorial Pop-Up media (PUBG) appropriately to improve learning outcomes of elementary school students, (2) student learning outcomes using Picture Pop-Up media (PUBG). The research used is Research and Development (R&amp;D) Borg and Gall. The subjects studied were students of grade IV SD. Instrument there are 5 data collection, namely: observation, interviews, questionnaire sheets, tests written, and documentation. Observations were made at SD Negeri 02 Glanggang. Interviews were conducted with class IV homeroom teachers. Questionnaire sheet respondents there are 2 lecturers for media validation and the fourth grade homeroom teacher for SD material validation. Instrument given pretest and posttest. Media developing is feasible or not seen from the results of material validation and media. The results of material validation were obtained 98% and media validation was obtained 94% which is categorized as very valid. On student learning outcomes seen from the pretest obtained the highest score therefore, it’s categorized as sufficient. In the posttest, the highest score was 98 and lowest is 86, the mean value is 93.5 which is categorized as very good. Based on the difference between the pretest and posttest mean scores the difference is obtained 45.4
Format Integration and Serials Cataloging

Format integration has achieved some goals: Seriality of nonprint materials can be expressed. Materials in several physical formats can be described. Archival control of non-print materials can be designated. Content designation has been standardized. Validation routines have been simplified or eliminated. Documentation has been much reduced. Format integration also brings new problems and issues. Bibliographic records are more complex, partly due to the nature of the material, but also due to new fields. Format specialists must learn new cataloging rules and content designation. Optional fields can impede shared cataloging. Local systems may be unable to correctly use some of the new codes. Format integration runs counter to the proposed use of a single record for multiple versions. Catalogers have a great deal to consider in formulating policies. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com ]
Augmented Reality for Pipe Thread Connection Type Training

The process of extracting oil and gas is carried out by drilling with a depth of more than 200 meters below the surface of the ground, so one steel pipe is needed to run the process. The manufacture of steel pipes for the opening process has special standards, one of which is a long pipe. To reach a depth of 200 meters below the ground level, a pipe connection is needed to reach that height. The method of connecting the pipes is called the Thread Connection Type. This method has more than 20 types of threads to be applied in pipe joints. To facilitate the discussion of the types of threads and their specifications, we need a technology that can be used interactive and mobile learning media to deliver detailed information on the type of thread. The author uses the use of Augmented Reality (AR) technology to be applied as an Android-based training media that can facilitate the existing Connection Thread along with special specifications with 3D visualization. This study aims to measure the validity and practicality of using ISO 25010 (in terms of functional suitability, performance efficiency, portability and usability) of learning media so that it is easier to understand and practical. The study consisted of two parts: 1) Validity by experts (5 experts), 2) Practicality by trainees or employees (16 participants) using the USE Questionnaire instrument. Furthermore, in application development using the Multimedia Development Life Cycle (MDLC) method as its development method. As a result, the application was declared feasible with the results of the percentage of experts Validity of 96% and Practicality by employees of 79%.
The development of energy blockchain and its implications for the energy sector

Although blockchain technology was initially thought to be dedicated to digital currency applications, the study groups quickly realised its usability that it could be beneficial to various sectors of society, industry, and business, including the sector of electricity. Currently, the European energy sector is in the process of transformation, which is associated with the transition from conventional to renewable energy using the latest technological solutions, also based on blockchain technology. This paper reviews the academic literature and industry practices of the implementation of blockchain in the energy sector. The systematic review by considering two sources is attempting to integrate insights from different bodies of knowledge. The results show that the number of publications about blockchain technology in the energy sector has been skyrocketing, especially since 2017, indicating that combining blockchain technology with the energy sector is a new cross-cutting research area with increasing attention.&#x0D; &#x0D; &#x0D;
46.2 LESSONS LEARNED IN TEACHING CULTURAL COMPETENCY ACROSS THE CURRICULUM

Questions about what material should be covered in teaching courses on cultural competency can be different for each audience. The purpose of this presentation is to present one educator’s experience with teaching cultural competency at an institution with a student population that is predominantly White.
CRITERIA AND INDICATORS OF METHODOLOGICAL COMPETENCE OF THE FUTURE TEACHER OF MATHEMATICS IN THE PROCESS OF DEVELOPMENT OF LOGICAL THINKING OF STUDENTS

In the article we reveal the influence of methodical training of the future teacher of mathematics on the development of logical thinking of future teachers. We substantiate that the effectiveness of the development of logical thinking of students in mathematics lessons depends on the quality of methodological training of mathematics teachers in the free economic zone. Our experience in training future teachers of mathematics, allowed us to identify the criteria of methodological competence of mathematics teachers in the development of logical thinking of students: motivational, cognitive and activity; to characterize indicators of methodical competence of the teacher of mathematics in the course of development of logical thinking of pupils. We characterize the motivational criterion as the need of future mathematics teachers to master the methodological knowledge, skills and abilities for the development of logical thinking of students. The motivational criterion is revealed by the following indicators: professional orientation on the development of students' logical thinking; motivation for self-improvement in methodical activity. The cognitive criterion reflects the knowledge of future mathematics teachers of the logical component of students' mathematical competence. Indicators of the cognitive criterion of methodological competence of a mathematics teacher in the process of development of logical thinking of students are: completeness of theoretical knowledge of the logical component of mathematical competence of students; familiarity with the methods of developing students' logical thinking in mathematics lessons. The activity criterion shows the ability of future mathematics teachers to develop students 'logical thinking and involves mastery of methods for developing students' logical thinking. Indicators of the activity criterion of methodical competence of a mathematics teacher in the process of developing students' logical thinking are: the ability to use theoretical knowledge in practice; ability to develop the logical component of students' mathematical competence; the ability to generate new ideas aimed at improving the development of logical thinking of students. Selected criteria and indicators of methodological competence of mathematics teachers in the development of logical thinking of students reveal the importance of the ability to form a logical component of mathematical competence of students and determine the content of methodical activities of teachers in the development of logical thinking of students.
Deep Rendering Graphics Pipeline

The graphics rendering pipeline is key to generating realistic images, and is a vital process of computational design, modeling, games, and animation. Perhaps the largest limiting factor of rendering is time; the processing required for each pixel inevitably slows down rendering and produces a bottleneck which limits the speed and potential of the rendering pipeline. We applied deep generative networks to the complex problem of rendering an animated 3D scene. Novel datasets of annotated image blocks were used to train an existing attentional generative adversarial network to output renders of a 3D environment. The annotated Caltech-UCSD Birds-200-2011 dataset served as a baseline for comparison of loss and image quality. While our work does not yet generate production quality renders, we show how our method of using existing machine learning architectures and novel text and image processing has the potential to produce a functioning deep rendering framework