Reviewerly/exHarmony huggingface dataset:
FORMATION OF PROFESSIONAL CONSCIOUSNESS OF FUTURE TEACHERS

The article is based on the analysis of scientific sources, reveals the essence of the concept of «professional self-consciousness», identifies the factors of its formation. Various forms of self-consciousness, its components, stages and levels of development of this complex formation are considered. The concept of «self-education» as a certain level of personality development, its self-consciousness is considered. Ways of professional abilities development, introduction of new forms and training methods are given. The components of professional self-consciousness include professional interests and attitudes, the desire to engage the chosen type of professional activity; diverse general and professionally necessary knowledge, cognitive skills and abilities; effective solution of professional situations, creativity as a recession from stereotypes in solving professional problems; adequate assessment of their professional qualities, attitude as a professional to himself. The author identifies the main aspects of professional self-consciousness of future teachers, identifies pedagogical conditions that contribute the process of professional self-consciousness: the usage of personality-oriented approach in the learning process, development of creative and communicative abilities, personal awareness of professional self-development, adequate self-esteem, motivational-pedagogical self-education, application of special methods and techniques of teaching in the process of training future teachers. There are methods and techniques that highlight the effectiveness of this process, namely: the study of professional literature, the study of foreign and national pedagogical experience; participation in professional competitions, contests, conferences; creative tasks performances of professional orientation; usage of game teaching methods, business role-playing games, etc.; discussion of success and failures in the process of performing creative work; determination of acquired knowledge, formation of skills and abilities that are necessary for one's own professional activity; formation of a critical attitude to one's own activity; planning their activities and analysis of what has been done; perception of own positive and negative qualities in pedagogical work. Thus, the formation of professional self-consciousness of the future teacher is a motivated, purposeful activity that leads to improve professional knowledge, skills and abilities, the development of professionally significant personal abilities and qualities.
The Method for Image Noise Detection Based on the Amount of Knowledge Associated with Intuitionistic Fuzzy Sets

The existing methods of two-stage fuzzy noise detection are all based on intuitionistic fuzzy entropy (IFE) using only the aspect of hesitation margin in the context of intuitionistic fuzzy sets (IFSs). However, there are great limitations of this type of method due to the inherent shortcomings of IFE, thus leading to limited accuracy of detecting noise. To solve this problem, we introduce in this paper the intuitionistic fuzzy knowledge measure (IFKM) into this fuzzy noise detection stage, in which the IFKM plays an important role. The fuzzification of an image at each grey level is implemented first by establishing two classes of IFSs for the foreground and background of the noisy images. The maximum amount of knowledge is then calculated, with which to determine the optimal threshold using the membership function values of the foreground and background of the noisy images, respectively. The noise pixels are detected with a noise membership function constructed by the average intensity of foreground background and each pixel value of noisy images, and removed with the iterative mean filter (IMF). By experiment, we use such performance metrics as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Visual Information Fidelity (VIF) and Image Enhancement Factor (IEF) to assess image quality. Furthermore, we compare denoising results of the proposed method with other state-of-the-art methods. The qualitative results show that the proposed method outperforms these algorisms. This paper applies the latest IFKM theory to the field of image noise detection for the first time, which also creates a new example for exploring the potential application areas of the theory.
The formation of research competence as a professional skill in future teachers of English

Research competence is an important component of the professional competence of a foreign language teacher, is a condition for its development and implementation of the teacher to work. The problem of preparing students for research activities is very relevant. The study of students’ readiness to carry out research reveals significant shortcomings: insufficient knowledge of the methodology of research activities, the role of research work in the process of becoming a teacher’s personality. The predominant use of information-receptive, reproductive methods in working with students and the insufficient use of active ones leads to the fact that students cannot apply knowledge in an unfamiliar situation when solving research tasks that require a non-standard approach. Cognitive interests and motives of research activity are not purposefully formed either. The formation of students’ research competence is based on the optimally acceptable levels of formation of all components of research competence: students’ motivational readiness for research activities; students’ theoretical readiness for research activities; students’ technological readiness for research activities; students’ productive readiness for research activities. The model of formation of the research competence of future foreign language teachers and the program of its implementation, tested experimentally, have shown high efficiency and can be used in the pedagogical process of the university. Thus, the results of the study of the formation of research competence in future teachers of a foreign language allow us to consider its tasks solved, and the hypothesis confirmed. At the same time, the conducted research does not pretend to solve all the issues related to this problem. These are, first of all, issues of continuity of students’ training at different levels of research activity.
Traffic Operation Management Information System Using Extreme Programming Method

The Indonesian National Police (Polri) is a state instrument whose role is to maintain public security and order, enforce the law, and provide protection, protection and service to the community. To support this role, the Police carry out various kinds of police operations. One of them is on the traffic function, namely by carrying out traffic operations. The Traffic Police under the auspices of the Korlantas Polri is a state instrument that is responsible for police functions in the traffic sector. Having a large organization, with 34 Polda and 504 Polres throughout Indonesia, is a challenge for the Polri, especially the Korlantas Polri, in carrying out traffic operations. The challenge faced is that the process of making reports on the results of traffic operations takes a long time, because the activities of reporting, collecting and managing traffic operation data are still carried out in a simple manner. This study aims to build a web-based application that can assist the process of reporting, collecting and managing data from traffic operations, as well as processing it into useful information. This application development applies the Extreme Programming (XP) software development methodology. The choice of the XP method is because XP is one of the methodologies that supports the acceleration of the development of a system with a minimum number of teams. In addition, based on the results of the study, it was found that the implementation of the XP method in application development resulted in software that was in accordance with the requirements.
Linear Systems and Digital Filters

A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
The Rands Test

It’s hard to pick a single best work by Joel Spolsky, but if I were forced to, I’d pick “The Joel Test: 12 Steps to Better Code.” It’s his own, highly irresponsible, sloppy test to rate the quality of software, and when anyone asks me what is wrong with their team, I usually start by pointing the questioner at the test. Start here.
A Web Scale Entity Extraction System

Understanding the semantic meaning of content on the web through the lens of entities and concepts has many practical advantages.However, when building large-scale entity extraction systems, practitioners are facing unique challenges involving finding the best ways to leverage the scale and variety of data available on internet platforms.We present learnings from our efforts in building an entity extraction system for multiple document types at large scale using Transformers.We empirically demonstrate the effectiveness of multilingual, multi-task and cross-document type learning.We also discuss the label collection schemes that help to minimize the amount of noise in the collected data.
To Do List Web App

“TO DO LIST is a web application in the classification of Task Management, Project Management, Productivity, Scheduling, and Collaboration. We have a huge assortment of devices to assist us with monitoring day by day commitments. A basic rundown on paper of things "To Do" is sufficient for certain individuals. Others like to utilize programs. Individuals have inclinations about where they monitor errands - with PC utility programming ("thick application"), sites ("meager application"), on telephone ("portable") applications. Some product is extremely broad, with just a basic rundown of assignment names and due dates. Some get more refined with settled errands, where you have to finish the settled undertakings to consider the fundamental assignment complete. Some straightforward records or to oversee complex multi-client ventures. What separates To Do List from most other undertaking the board bundles is the choice to make chains of command of assignments to separate complex errands in to dynamically more basic subtasks until no further disentanglement is required. This application will join the usability with the most effective functionalities that can enable a client to deal with their undertaking and monitor their necessities in the most beneficial manner.”
THE ANALYSIS OF COMPLIMENT STRATEGIES IN A MOVIE ENTITLED THE SPECTACULAR NOW

&lt;p&gt;This research focuses on what kind of compliment and compliment responses in a movie entitled &lt;em&gt;The Spectacular Now&lt;/em&gt;. This paper tries to find out the types of compliment’s topics, to reveal the functions of each type of compliment’s topics and to figure out the types of compliment responses employed by the characters in the movie entitled &lt;em&gt;The Spectacular Now&lt;/em&gt;. This research is descriptive qualitative research. This research uses a pragmatic approach. The technique used is purposive sampling, meaning that the researcher took all of dialogues containing giving and responding compliments as data. The results show that first the most common topic of compliment used by the characters is the ability topic. Following the Wolfson’s theory, there are five functions found in the movie. They are to express admiration or approval, to maintain rapport, to modify sarcasm, to encourage, and to give positive evaluation for someone. Furthermore, there are eight compliment responses found in the movie based on Herbert’s classification. They are appreciation token, no-acknowledgement, comment acceptance, question, scale down, disagreement, request, and return. Based on the analysis, the most widely used is appreciation token with verbal acceptance.&lt;/p&gt;
Robot Science Education on Fostering Students' Abilities Related to "Key Competencies"

Educational change has been required, such as the OECD presenting the abilities to survive in a changing future society as "Key Competencies." Since 2003, we have been practicing "Robot Science Education" to solve social problems through robot development. This education is linked to the philosophy of STEAM education, and it focuses not only on robot development but also on approaches to social problems. To verify the effectiveness of this education, we surveyed the students who challenged the robot contests about the abilities they acquired. This study concludes that the Robot Science Education is effective in developing students' abilities for "Key Competencies." Amid this rapidly changing society, the need for Robot Science Education will increase.
Extraction of Hand Motions Using First-Person View Video for Teaching Motions to Robots

Service robots are expected to be used in many situations, such as homes and factories, instead of people. However, it takes a lot of effort to teach the robots how to perform behaviors which human have been doing. To expand the use of service robots, it is necessary to develop the support system for teaching robots; the system should easily transfer the behaviors from human to robots. In this paper, we propose a teaching system by extracting hand-object interaction from first-person view videos acquired by a camera attached to a human’s head. The proposed system generates a sequence of hand motions by extracting three types of simple motion elements (Translate, Rotate, and Grasp) from first-person view video as teaching information to a robot. In the experiment, we confirm the usefulness of this system by actually having a person perform the pouring task as an example, extracting the motion element sequence from the first-person view video, and reconstructing the robot’s pouring motion using it.
RETRACTED : Nanopartikel magnetit termodifikasi asam salisilat dan aplikasinya sebagai adsorben malasit hijau

Following a rigorous, carefully concerns and considered review of the article published in Jurnal MIPA dan Pembelajarannya (Journal of Mathematics, Science, and Instruction) to article entitle "Nanopartikel magnetit termodifikasi asam salisilat dan aplikasinya sebagai adsorben malasit hijau" Vol. 2 No. 2 (2022).This paper has been found to be in violation of the Jurnal MIPA dan Pembelajarannya (Journal of Mathematics, Science, and Instruction) publication principles and has been retracted.The article contained redundant material, the editor investigated and found that the paper published in AIP Conference ProceedingsThe document and its content has been removed from Jurnal MIPA dan Pembelajarannya (Journal of Mathematics, Science, and Instruction) and reasnable effort should be made to remove all references to this article.
Review of Nomenclature and Benchmarking Models of Text Classification Models: Contemporary Affirmation of the Recent Literature

We offer automated text classification in text mining in this chapter, which is becoming more relevant in numerous fields every day. Text mining is primarily concerned with the development of text classification systems capable of autonomously classifying large volumes of unstructured and semi structured data. The retrieval, categorization, and summarising processes make it easier for the user to retrieve information. The discovery of the ideal text classifier, feature generator, and distinct dominant technique of feature selection, which led all previous research, has piqued the interest of researchers from fields as diverse as information retrieval, machine learning, and algorithm theory. Techniques like Machine Learning, Natural Language Processing (NLP), and Data Mining are combined to automatically identify and uncover patterns from many sorts of materials [1].We review various effective feature selection studies in this paper and present the results in a table format.
Örjan Sandred: Sonic Trails

December 01 2021 Örjan Sandred: Sonic Trails Örjan Sandred: Sonic Trails. Ross Feller Ross Feller Gambier, Ohio, USA Search for other works by this author on: This Site Google Scholar Author and Article Information Ross Feller Gambier, Ohio, USA [Editor's note: Selected reviews are posted on the Web at http://www.computermusicjournal.org (click on the Reviews tab). In some cases, they are either unpublished in the Journal itself or published in an abbreviated form in the Journal.] Compact disc, 2020, AMCD01, available from Audiospective Media, www.orjan@sandred.com. Online Issn: 1531-5169 Print Issn: 0148-9267 © 2021 Massachusetts Institute of Technology.2021MIT Press Computer Music Journal (2021) 44 (4): 80–81. https://doi.org/10.1162/comj_r_00583 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Ross Feller; Örjan Sandred: Sonic Trails. Computer Music Journal 2021; 44 (4): 80–81. doi: https://doi.org/10.1162/comj_r_00583 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsComputer Music Journal Search Advanced Search You do not currently have access to this content.
Geometric Brownian Motion and Value at Risk For Analysis Stock Price Of Bumi Serpong Damai Ltd

Investment is one of the activities that last actually attractive to the people of Indonesia. One of the most widely traded financial assets in the capital market is stocks. Stock prices frequently experience challenges to predict changes, so they can increase or decrease at any time. One method that can be applied to predict stock prices is GBM. Then, the risk can be measured using the VaR risk measure. The GBM model is determined to be accurate in predicting the stock price of BSDE.JK, with a MAPE value of 5.17%. By using VaR-HS and VaR CFE, the prediction of risk of loss at the 95% confidence level for the period 06/07/21 is -0.0597 and -0.0623
Sound and Video Anthology: Content

December 01 2021 Sound and Video Anthology: Content Martin Supper, Martin Supper Search for other works by this author on: This Site Google Scholar Erhard Grosskopf, Erhard Grosskopf Search for other works by this author on: This Site Google Scholar Kirsten Reese, Kirsten Reese Search for other works by this author on: This Site Google Scholar Miriam Akkermann, Miriam Akkermann Search for other works by this author on: This Site Google Scholar Mads Kjeldgaard Mads Kjeldgaard Search for other works by this author on: This Site Google Scholar Author and Article Information Martin Supper Erhard Grosskopf Kirsten Reese Miriam Akkermann Mads Kjeldgaard Online Issn: 1531-5169 Print Issn: 0148-9267 © 2021 Massachusetts Institute of Technology.2021MIT Press Computer Music Journal (2021) 44 (4): 1. https://doi.org/10.1162/comj_a_00587 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Martin Supper, Erhard Grosskopf, Kirsten Reese, Miriam Akkermann, Mads Kjeldgaard; Sound and Video Anthology: Content. Computer Music Journal 2021; 44 (4): 1. doi: https://doi.org/10.1162/comj_a_00587 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsComputer Music Journal Search Advanced Search You do not currently have access to this content.
IMPROVING INDONESIAN LANGUAGE LEARNING OUTCOMES USING INQUIRY MODELS IN CLASS IX STUDENTS OF SATAP SUNGAI BERTAM

Junior high school SATAP Sungai Bertam set KKM indonesian language subject class IX of 78 with the provisions of 100% complete, still very many students who have not reached completeness, the purpose of this research is to increase learning outcome in indonesian language subject in class IX. This research is a classroom action research conducted in two cycles with two learning meetings, which includes: planning, implementation, and reflection, 26 study subjects consisted of 12 males and 14 females, Data collection techniques used a written assessment, observations in the form of indicators of teacher and student success, the results showed that on the pre cycle of percentage of student learning outcomes that is 35%, with the highest 79, the lowerst 50, and the average 66,58, in the first cycle increased by a percentage 73%, with the highest 80, the lowerst 65, and the average 76,27, then in the second cycle is 100% complete with the highest 85, the lowest 80, and the average score 82,81. Based on these results, it can be concluded that inquiry learning model can improve the learning outcomes of grade IX students in indonesian languange subjects at Junior high school SATAP Sungai Bertam.
AN ONTOLOGY-BASED APPROACH TO STRUCTURE BUSINESS MODEL INNOVATION CASES

For companies to be able to adapt to market circumstances, they need to reconfigure or even reinvent their current businessmodel. For this, companies need support to know their possibilities for business model innovations. Using a design
NIGERIA: Digital Currency Plan

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 8 p. 23556B-23557C Policy and Practice NIGERIA: Digital Currency Plan First published: 11 October 2021 https://doi.org/10.1111/j.1467-6346.2021.10212.xRead 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. Volume58, Issue8October 2021Pages 23556B-23557C RelatedInformation