Reviewerly/exHarmony huggingface dataset:
Principles of Nonlinear Feature Engineering

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Economic Thinking of Big Data Killing in the Internet Era

In this era of the Internet of Everything, the application of big data has become an inevitable trend in the world. Whether it is through big data to promote personalized services, or relying on big data to optimize urban services, data is dramatically changing our lives. While people enjoy the convenience brought by the Internet and data, it also inevitably brings some problems. Recently, the phenomenon of Internet companies using big data for price discrimination (which is “big data killing”) has caused heated debate. This article will explore the reasons behind the killing of big data from an economic perspective and study the behavioral strategic choices of enterprises and consumers in this situation. Finally, according to the above analysis, we provide corresponding countermeasures and suggestions to promote the stable development of the economy in the Internet era.
Когнитивная революция и музыкальная когнитивистика

The article analyzes the formation of musical cognitive science, the emergence of various algorithmic systems of musical composition, as well as the formalization of the composer process as a whole. The “Cognitive Revolution” that took place in the 1956–70s served as the basis for a radical change in the scientific paradigm formed as a result of the desire to explain thought processes through the “rules for the transformation of mental representations”. The axioms of cognitivism are predetermined by interdisciplinary factors, since the paradigms of thinking are universal. In the so-called cognitive musicology, the goal is to understand not only the music itself but also the process of its cognition.
A Blockchain-Based IoT Workflow Management Approach

The centralized authority of workflow management has low transparency in data sharing among third party entities. Blockchain technique provides new solution to manage assets in a distributed manner. In this paper, we aim at designing a decentralized IoT workflow management solution where the rules to control data transmission and access are governed using blockchain. We adopt a secure execution technique to store the encrypted dataset and save only the hash map information in the blockchain. As a result, our solution offers flexible data access control and better data sharing transparency to the vast amount of data generated by IoT devices. The simulation results showed that efficiency and throughput can be greatly improved in managing IoT workflow.
PENINGKATAN HASIL BELAJAR SISWA KELAS IV PADA MATA PELAJARAN PKN MELALUI TEKNIK CERAMAH BERVARIASI SD NEGERI 017989 MANIS

the purpose of this study was to improve the learning outcomes of fourth grade students on PKN subjects through varied lecture techniques sweet SD 017989. This type of research is classroom action research using test instruments and observation sheets of 2 cycles. The results showed that student learning outcomes by 65% got a complete value and 35% got an incomplete value with an average value of 69.0 in cycle I. In cycle II student learning outcomes by 90% got a complete grade, and by 10% got an unfinished value with an average rating of 89.0. Thus varied lecture techniques can improve student learning outcomes.
Understanding of Lecturers’ Verbal Interaction in Teaching of Malay Language at Institute of Teacher Education

Verbal interaction is the main medium of communication for language educators in each educational institution.Lecturers need to enhance a verbal communication skills and be fluent in language.A language teaching, especially in the field of Malay as the official language, is a key element of oral delivery in a teaching method.The practice of teaching transformation creates a critical, creative and innovative graduate experience.The implementing of language teaching involves of three basic skills which includes reading, writing and oral skills.This paper discuss clearly about the lecturers' understanding of oral skills is an oral presentation in the teaching of lecturers when interacting with students.The culture of oral interaction used by language education lecturers has always been the best practice in teaching and learning.This study uses qualitative method which is the interview method.The lecturers' teaching is not just a result of language proficiency but also the lecturers' communication as a teaching knowledge.Therefore, proper verbal interaction is implemented in line with the language teaching creativity in order to produce a quality of teacher in communication.
Реализация идей Януша Корчака в научном творчестве студентов педагогических вузов

The author addresses the pedagogical heritage of the outstanding humanist educator of the twentieth century - Janusz Korczak. The article attempts to comprehend the basic conceptual ideas of Janusz Korczak from the perspective of modern requirements for the methodology of new education by attracting students to independent scientific creativity. The pedagogy of Janusz Korczak and its methodology are characterized in the context of the popularization and continuity of the ideas of humanism in modern education.The article presents the priority areas of the competition for the implementation of the ideas of the humanist pedagogue about the self-worth of childhood, which determined the importance of the child’s right to respect, the special attention is paid to the set of rights of the child, ensuring its full development, allowing students to reveal the main provisions of the pedagogical concept and the modern context of pedagogy of Janusz Korczak.The positions of leading scientific researchers (R.A. Valeeva, I.D. Demakova, M. Kaminsk, A. Levin, I. Neverli, M. Mikhalak, etc.) are examined which develop the ideas of the teacher, analyze the problems of the theory and practice of education in the pedagogical concept of Janusz Korczak.The practical significance of the research lies in the direction of its results in improving the scientific creativity of students through the implementation of the ideas of Janusz Korczak in the international competition of research and creative works of students In the world of wise thoughts of domestic and foreign scientists and teachers.The practical significance of the research lies in the direction of its results in enhancing students ’scientific creativity by implementing the pedagogical ideas of Janusz Korczak in the international competition of students’ research and creative works “In the world of wise thoughts of domestic and foreign academic teachers”.The presented research results can be used in higher educational institutions of Russia to solve the problems of increasing the research activities of students by reading the new pedagogical heritage of Janusz Korczak. The article will be interesting to students of educational institutions of higher education (undergraduate, graduate level), representatives of higher education, graduate students
Communication Strategy of The Learners of Indonesian for Foreign Speakers (BIPA) at The Basic Level at Maejo University, Thailand

One of the obstacles faced by Learners of Indonesian for Foreign Speakers (BIPA) is the limited of Indonesian skills so that communication strategies are used in order that the goals of their communication can be achieved. This study aims to describe the form and the implementation of communication strategies of BIPA learners at the basic level at Maejo University. This study uses the case study method as part of descriptive research, which is a form of research aimed at describing existing phenomena, which include natural phenomena as well as human-engineered phenomena. The data were collected by using an observation and recording techniques. The data of this research are verbal and non-verbal behaviors of BIPA learners at the basic level at Maejo University. The result of this research is communication strategies carried out by BIPA learners, which are borrowing, speech repetition, use of words that are similar or near meaning (approximation), words ommission, paraphrase, similar pronunciation, imitating, and using expressions.
Peningkatan Kemampuan Menulis Puisi dengan Model Pembelajaran Telisik (Tentukan, Analisis, Tampilkan)

The aim of this article was to improve the ability in writing poetry through model of Telisik (Tentukan, Analisis, Tampilkan). The research method was Classroom Action Research (CAR) which consisted of four stages, namely 1) planning, 2) implementation, 3) observation and 4) reflection. The subjects in this study were 18 first semester students of language and literature study program at Universitas Islam Malang. This research was conducted during two actions (cycles). Data collection techniques was interviews, questionnaires, observation and test results. From the results of the study showed that there was increasingthe ability to write poetry with the Telisik model. Student mastery learning increased from 39% up to 66%. The implementation of the second cycle showed success. A significant increase was also seen from the results of the second cycle. The level of completeness of students reached 88%. Learning model of Telisik (Tentukan, Analisis, Tampilkan) which is supported by effective media and teacher attention, was an important factor supporting the success of learning activities.&#x0D; Keywords: Telisik (Tentukan, Analisis, Tampilkan), Learning Model, Increasing Writing Poetry
Necessity and Countermeasures of Big Data Security and Privacy Protection

In order to better protect the privacy in the era of big data, this article analyzes the other rights implied by the right to privacy. After clarifying the characterization of privacy issues in the era of big data and the legal benefits behind it, the current status of privacy protection outside the domain is analyzed. Analyze and compare, sum up the advantages and disadvantages of different systems and worth learning. Combining the advanced experience of privacy protection in the world, from the establishment of the basic principles of privacy protection, the establishment of a systematic protection system, and the addition of three levels of privacy protection norms, specific suggestions are made to improve big data for China. Legislation and judicature provide a certain reference, and make a modest contribution to the construction of a country ruled by law. This paper proposes corresponding security encryption algorithms to support privilege elevation, privilege reduction, and privilege termination. Theoretical analysis and a large number of experimental results show that the scheme proposed in this chapter is safe, effective and efficient.
ANN Based Execution Time Prediction Model and Assessment of Input Parameters through ISM

Cloud computing is on-demand network access model which provides dynamic resource provisioning, selection and scheduling. The performance of these techniques extensively depends on the prediction of various factors e.g., task execution time, resource trust value etc., As the accuracy of prediction model absolutely depends on the input data that are fed into the network, Selection of suitable inputs also plays vital role in predicting the appropriate value. Based on predicted value, Scheduler can choose the suitable resource and perform scheduling for efficient resource utilization and reduced makespan estimates. However, precise prediction of execution time is difficult in cloud environment due to heterogeneous nature of resources and varying input data. As each task has different characteristic and execution criteria, the environment must be intelligent enough to select the suitable resource. To solve these issues, an Artificial Neural Network (ANN) based prediction model is proposed to predict the execution time of tasks. First, input parameters are identified and selected through Interpretive Structural Modeling (ISM) approach. Second, a prediction model is proposed for predicting the task execution time for varying number of inputs. Third, the proposed model is validated and provides 21.72% reduction in mean relative error compared to other state-of-the-art methods
Опера П. И. Чайковского «Иоланта» в режиссерской интерпретации А. Жолдака

Using the parameters of cultural and theatrical analysis, the staging of P. Tchaikovsky’s opera “Iolanta”, performed by director A. Zholdak in the Mikhailovsky’s Theater (St. Petersburg) in the 2018-2019 season, is interpreted. Its conceptual ideological principles, aesthetic paradigms and peculiarities of narrative organization are defined. It is proved that the declared ideas of symbolism do not have their adequate realization in the stage narrative, which involves the presentation of two stories: Iolanta’s blindness and the insight as well as the story of P. Tchaikovsky’s creation of the eponymous opera. The double narrative leads to the complication of the characters’ system, the primary dramaturgy and the script restructuring. As a result, there is an artistically contradictory buildup that provokes a conflict of its interpretation both by the audience and by professional critics.
Система поддержки принятия решений для проектирования сервис-ориентированной архитектуры

In recent years, in the field of automation of enterprise management there is a transition to the use of service-oriented architectures. Service-oriented architecture is a new model of information systems design, the implementation of which can significantly reduce the cost of creation, implementation and operation of the system. The SOA concept provides for the possibility of using and integrating web services to automate a single business process or enterprise information system as a whole. In the process of designing a service-oriented architecture, there are problems of evaluation, selection and integration of web services, which require careful analysis and comparison of many alternatives. The proposed approach envisages the creation of a system implementing, in an automated regime support users in the process of identifying rational, SOA, to the greatest extent appropriate to the needs of the business and specified constraints, by evaluating and ranking al-alternative choices for different quality criteria of web services: functional, neungseo-tional and money. The DSS models different scenarios according to user-defined criteria, and in the process of operation, the SOA dynamically updates the knowledge base about the actual quality of services, thereby increasing the efficiency of the generated recommendations.
General characteristics of Android browsers with focus on security and privacy features

Satisfactory level of security in the use of the Internet in mobile devices depends on several factors. One of them is safe browsing. A key factor in providing secure browsing is the application of a browser with the appropriate methods applied: clearing cookies, cache and history, ability of incognito browsing, using of whitelists and encryptions and others. This paper presents an overview of the various security and privacy features used in the most frequently used Android browsers. Also, in the case of several browsers and types of mobile devices, the use of benchmark tests is shown. Bearing in mind the differences, when choosing a browser, special attention should be paid to the applied security and privacy features.
ASPEK PSIKOLOGI SASTRA DAN NILAI PENDIDIKAN KARAKTER DALAM NOVEL 5 CM KARYA DONNY DHIRGANTORO

This study aims to find out and describe: (1) the structure of the text in the novel 5 CM by Donny Dhirgantoro, (2) the psychological conflict of figures based on the theory of Abraham H. Maslow's needs contained in the 5 CM novel by Donny Dhirgantoro, (3) the value of education the character contained in the 5 CM novel by Donny Dhirgantoro, (4) its relevance in learning literature in higher education. This research is a descriptive qualitative research. The research approach used is the psychology literature approach. Data collection techniques used are interview techniques and document analysis. Data validity in this study uses triangulation theory and data sources. The data analysis technique used in this study is an interactive model analysis technique. The results of this study include: (1) the form of literature, which is seen from intrinsic and extrinsic elements, (2) psychiatric conflicts of figures based on Abraham H. Maslow's theory can be seen from the needs namely physiological, security, love and belonging, price self, and self-actualization needs. (3) in the 5 CM novel by Donny Dhirgantoro ten values ​​of character education were found, including religious character, discipline, hard work, creativity, national spirit, love for the motherland, respect for achievement, social/environmental care, responsibility and friendliness / communicative. 4) 5 CM novels by Donny Dhirgantoro have relevance to literary learning, one of them is learning Literary Criticism, which is as teaching material in learning Literary Criticism in Higher Education.
Usage Limits on AEAD Algorithms

An Authenticated Encryption with Associated Data (AEAD) algorithmprovides confidentiality and integrity. Excessive use of the same keycan give an attacker advantages in breaking these properties. Thisdocument provides simple guidance for users of common AEAD functionsabout how to limit the use of keys in order to bound the advantagegiven to an attacker. It considers limits in both single- and multi-user settings.
Design and Implementation of Internal and External Network Isolation System Based on QR Code

In this paper, a data transmission method based on QR two-dimensional code is studied for data transmission between internal and external networks of power enterprises, including image enhancement, binarization, image localization, two-dimensional code cutting, image rotation correction, and image geometric correction. Aiming at the instability of light in practical applications, an improved canny algorithm is proposed to segment images quickly and accurately. By identifying the two-dimensional code pictures under four different illumination conditions, such as ordinary uniform illumination, weak illumination, strong illumination, and uneven illumination, the recognition accuracy and recognition speed of the classic canny algorithm and the improved canny algorithm are compared. The results validate the feasibility and accuracy of the improved canny algorithm. Thereby, the data transmission between internal and external network without physical coupling of the physical channel is realized by QR code, which truly realizes the isolation of the internal and external networks in power grid.
Document Data Extraction System Based on Visual Words Codebook

We propose a new approach to extraction important fields from business documents such as invoices, receipts, identity cards, etc. In our approach, field detection is based on image data only and does not require large labeled datasets for learning. Method can be used on its own or as an assisting technique in approaches based on text recognition results. The main idea is to generate a codebook of visual words from such documents similar to the Bag-of-Words method. The codebook is then used to calculate statistical predicates for document fields positions based on the spatial appearance of visual words in the document. Inspired by Locally Likely Arrangement Hashing algorithm, we use the centers of connected components extracted from a set of preprocessed document images as our keypoints, but we use a different type of compound local descriptors. Target field positions are predicted using conditional histograms collected at the fixed positions of particular visual words. The integrated prediction is calculated as a linear combination of the predictions from all the detected visual words. Predictions for cells are calculated from a $$16\times 16$$ spatial grid. The proposed method was tested on various different datasets. On our private invoice dataset, the proposed method achieved an average top-10 accuracy of 0.918 for predicting the occurrence of a field center in a document area constituting $$\sim $$ 3.8% of the entire document, using only 5 labeled invoices with previously unseen layout for training.
Fraud Analytics System for Credit Card Using Machine Learning

This paper provides information on Credit Card Fraud Analysis with the help of some Machine Learning Techniques. The proposed system uses K-Means, Naive-Bayes and SVM algorithm to detect fraud in credit card transaction. K-means is an algorithm used to solve clustering problem while Naive-Bayes and SVM algorithm are used for detecting and classifying credit card transaction into fraudulent and non-fraudulent by matching the pattern of fraud as fraud usually has some past pattern associated with it. Result is compared with each other on the basis of fraudulent and not-fraudulent transaction, based on accuracy and shown in the visualization format.
Deep Image Segmentation for Breast Keypoint Detection

The main aim of breast cancer conservative treatment is the optimisation of the aesthetic outcome and, implicitly, women&rsquo;s quality of life, without jeopardising local cancer control and overall survival. Moreover, there has been an effort to try to define an optimal tool capable of performing the aesthetic evaluation of breast cancer conservative treatment outcomes. Recently, a deep learning algorithm that integrates the learning of keypoints&rsquo; probability maps in the loss function as a regularisation term for the robust learning of the keypoint localisation has been proposed. However, it achieves the best results when used in cooperation with a shortest-path algorithm that models images as graphs. In this work, we analysed a novel algorithm based on the interaction of deep image segmentation and deep keypoint detection models capable of improving both state-of-the-art performance and execution-time on the breast keypoint detection task.
An Implicit Emotion Mining Method of User Consultants-oriented

Aiming at the characteristics of short texts which are sparse, nonstandard and ambiguous in subject, we present an effective classification method. This paper analyzes this kind of data, and utilize semi-supervised to select significant syntactic features (substring/subsequence), and then uses SVM for text categorization. A machine-learning based emotion analysis method is implemented to mine such implicit emotion. The average accuracy rate and recall rate can reach 84.19%, At last, the method is proven effective by applying in the veritable data of telecommunication field.