Reviewerly/exHarmony huggingface dataset:
Features of socialization і individual expectation features

The article considers the features of socialization and individual expectations of the individual as components of its spheres of life. It is shown that the peculiarities of the subject's self-attitude determine the attitudes to life. Transforming, creative activity is one pole. The opposite pole - passivity, expectations, dependence. The result of psychological "tightness" is a feeling of failure. To solve the corrective tasks of forming an active life position, it is important that this transformative, corrective process begins with the analysis and work with self-assessment judgments. Individuals who have, in general, a fairly positive experience of social adaptation and self-realization will tend to form positive, flexible, realistic and concrete expectations. At the same time, individuals who have experienced numerous disappointments and conflicts in the past will be more likely to have negative, rigid, unrealistic and diffuse expectations in their respective fields of activity. Accordingly, the selected indicators are expressed in the features of the expectations of the individual in such areas as significant interpersonal relationships, ideas about their own potential and prediction of the future. The role of individual expectations (as components of cognitive development), as well as their relationship with the process of self-determination of the individual, which provides an opportunity to develop new, more effective programs of socio-psychological adaptation of the younger generation. Key words: specialty, socialization, examination, life.
An Optimized Image Pre-Processing Technique for Face Emotion Recognition System

People share a universal and fundamental set which is displayed by clear facial expressions. Recognition of human emotions through the imaging templates is beneficial in a wide varietyof intelligent and interaction systems programs. Nevertheless, the automated identification of facial expressions image using matching methods suffers with the normal variability with facial recording and features situations. The effective and computationally simple feature extraction and classification technique for emotion recognition is still an open problem in spite of the progress achieved in facial emotion recognition in recent years. Image Normalization and pre-processing is significantpart of recognition systems. Changes in lighting conditions produces decrease of recognition dramatically performance. A novel pre-processing framework is proposed to enhance the image using K-Nearest Neighbor and Cultural Algorithm in this paper. An optimised Image Enhancement technique is proposed for improving the classification of the human face emotion recognition system in this work.
جون ؔ ایلیا کی شاعری میں قنوطیت

The purpose of this study is to explore pessimism running throughout the poetic works of Joun Elia. This study uses qualitative methodology of study and close reading technique in its procedural framework. Purposive sampling is used in selection of the poems explored. Moreover, it finds stark pessimism in Joun’s poetry by analyzing some of his selected poems.
SIPDA SMA Negeri 4 Medan: The Development of Integrated Online Learning Platform

The education units experienced several problems in online learning during this pandemic including the senior high school of SMA Negeri 4 Medan. Therefore, this research intends to produce a Moodle-based online learning platform that will be used by the teachers and the students at SMA Negeri 4 Medan. This article is a part of a research and development activity. Through this article, the process of developing sipdasma4medan would be explained. This study used a descriptive method. Based on the development process, the stages of making sipdasma4medan include: 1) downloading and installing Moodle after fulfilling several technical requirements, they are: (a) Web servers such as LiteSpeed and database program such as MariaDB. (b) PHP that has been configured and the required extensions, (c) Sendmail if it requires access to use an email. 2) creating databased, 3) creating directories, 4) installing moodle, 5) setting up cron, 6) setting up subjects in moodle. Furthermore, the sipdasma4medan.com product was validated by a design expert to assess the quality of the online learning platform that had been produced. The results of the expert validation show that sipdasma4medan functioned well, as indicated by the presentation results of assessment data through beta testing on e-learning. It was obtained 94.11% which means that sipdasma4medan as an online learning platform is very feasible to use.
Multi-robot Cooperate Region Coverage Search Algorithm Based on Distributed Control

Aiming at the situation that multi-robot system cannot establish global communication when performing region coverage task in unknown environment, a multi-robot cooperative region coverage search algorithm based on distributed control is proposed. Bio-inspired neural network and raster map are combined to represent dynamic search environment. Weighted average method (WAM) is used to fuse environmental information collected by different robots. In addition, several dynamic search alliances are formed among robots under the framework of distributed model prediction (DMPC). Within the alliance, each member makes iterative collaborative decision in turn, and the genetic algorithm (GA) is used to optimize the solution to obtain the next movement path of each robot. Simulation results show the effectiveness and superiority of the proposed algorithm.
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning

We demonstrate the possibility of learning drone swarm controllers that arezero-shot transferable to real quadrotors via large-scale multi-agentend-to-end reinforcement learning. We train policies parameterized by neuralnetworks that are capable of controlling individual drones in a swarm in afully decentralized manner. Our policies, trained in simulated environmentswith realistic quadrotor physics, demonstrate advanced flocking behaviors,perform aggressive maneuvers in tight formations while avoiding collisions witheach other, break and re-establish formations to avoid collisions with movingobstacles, and efficiently coordinate in pursuit-evasion tasks. We analyze, insimulation, how different model architectures and parameters of the trainingregime influence the final performance of neural swarms. We demonstrate thesuccessful deployment of the model learned in simulation to highlyresource-constrained physical quadrotors performing stationkeeping and goalswapping behaviors. Code and video demonstrations are available at the projectwebsite https://sites.google.com/view/swarm-rl.
Multi-Person Absolute 3D Pose and Shape Estimation from Video

It is a challenging problem to recover the 3D absolute pose and shape of multiple person from video because of the inherent depth, scale and motion blur in the video. To solve this ambiguity, we need to aggregate temporal information, relationship between people and environmental factors, etc. Although many methods have made progress in 3D pose estimation, most of them can not produce accurate and natural motion sequences with absolute scale. In this paper, we propose a new framework, which is composed of human tracking, root-related human mesh estimation and root depth estimation model, adopts temporal network architecture, self-attention mechanism and adversarial training. The experiments show that the method has achieved good performance in in-the-wild datasets.
Artificial Creativity? A Case Against Copyright Protection for AI Generated Works

Today, many areas of our daily lives are determined by artificial intelligence (AI). Machines program software, translate texts rapidly, create beautiful images, and design fashion efficiently. They are capable of superhuman performances. Furthermore, machines make the impression of boundless creativity. AI’s achievements in traditional areas of copyright subject matters inevitably raise the question of legal protection through an exclusive right. This Article begins by exploring AI technology’s various accomplishments. Then, it outlines the legal status quo with respect to those developments and discusses potential copyright protection, mainly from the perspective of creativity. Finally, it address other arguments regarding copyright protection for AI products, such as the economic aspects of incentive and market failure. This Article contemplates the issue from an international perspective and concludes that neither copyright nor other similar protection rights, i.e. sui generis rights (which already exist for different subject matters, for example, in Europe), should be implemented. This finding holds true regardless of the legal jurisdiction, may it be common law or civil law.
Evaluating the Key Factors for the Success of International Data Transit

Access to international cable systems (often submarine) or satellite systems and manage incoming and outgoing international voice, and data traffic is provided by connecting national networks to regional and global systems. In this connectivity provided through the international gateways in each country, there is a capacity to transmit data between different countries or points outside the country to help this overall connectivity called data transit. In this paper, we will evaluate the key factors that lead to the success of data transit. Fuzzy cognitive mapping is used for this purpose. The statistical population of this study is selected from experts and professors in the field of telecom capacity. In the first step, the key success factors are identified based on the opinions of 15 experts and then based on four initial impact matrices, fuzzy impact matrix, impact power matrix, and the final effect matrix, and Mental Modeler software creates the fuzzy cognitive mapping.
Development of Low-Cost Thermal Scanner and Mask Detection for Covid-19

COVID-19 disease spreads rapidly from person to person through airborne transmission. The preventive measures are very important to prevent and control the rapid spread of COVID-19. The effective protection technique is by wearing a face mask in public space. Therefore, this study proposed a face mask detection through Haar Cascade approaches. Besides, body thermal screening features has also been considered in this study to determine whether an individual is healthy or not by using thermal sensor. The pilot study was run for a week in other to test the capabilities and the durability of the program to run in the community. The results from the pilot study showed that the thermal scanner is able to run standalone in the public for a week. In overall, the thermal Scanner device was successfully developed with a combinations of deep learning technique to detect a person with facemask and able to screen a body temperature just by using low-cost components.
Pengembangan Podcast dengan Model Addie pada Materi Cerita Rakyat Sebagai Sumber Belajar Berbasis Audio

This study aims to produce a podcast as an audio-based learning resource and determine its feasibility. This research was conducted using the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation) on folklore material. In this study, data were collected through observation and interviews, questionnaires and tests, which were then analyzed by paired two-sample t-test. The results of the content expert's review stated that the podcast developed was appropriate. The results of the expert review of audio-based learning resources stated that it was very good, while the review of learning design experts stated that the podcast developed was in the good category. Student responses in field trials showed student responses to the product were very good, which was 92.11%. The results of the calculation of student achievement before and after using interactive multimedia based on the results of the t-test carried out gave the results of t-count = 0.001 (&lt;a = 00.5). The average result of the posttest of students is 86.92, which is above the KKM value set at 75. This shows that the development of podcasts as an audio-based learning resource is feasible to use in the learning process for folklore material.
History Rhymes: The Role of Learned Societies in an Open Research Landscape

This report of Vincent Cassidy’s presentation at the NC Serials Conference examines how learned society publishers like IET (Institution of Engineering and Technology) can proactively position themselves as helpers in the shift to open access and open research workflows. Cassidy first delves into IET’s research to identify how researchers believe publishing will change and where the main pain points might be in this shift before addressing two initiatives, IET’s shift to gold open access and Inspec Analytics, which were developed to address these pain points.
History of the formation and development of the institute of intellectual property in Japan

The development of the legal system of any country is impossible without the protection of intellectual property. Japan, as a country with an economic culture of exporting technologies and equipment, pays special attention to this issue. First of all, this is due to the priority direction of the state policy of Japan, a country of advanced technologies and innovations. The whole system of creation and protection of the intellectual property in Japan is regulated by the Copyright Act (Act No. 48 of 1970), Intellectual Property (Law No.122 of 2002), disputes shall be resolved in the Intellectual Property High Court, and the registration procedure takes place in the Japan Patent Office.
Stress-induced birefringence calibration of large aperture dynamic interferometer based on the rotation of light source polarization state

The measurement of large aperture optical components becomes much more critical as they are increasingly being used in high power systems and astronomical systems. Large aperture transmissive optical elements always suffer from stressinduced birefringence, which leads to the difference of profiles for linearly polarized beams with different orientations. A spatially varying optical path difference is introduced into the measurement result as wavefront aberration in a dynamic interferometer based on the polarization phase-shifting method. This paper proposed a method to measure and correct the birefringence effect for a 600mm aperture dynamic interferometer based on the rotation of the incident polarized beam, needing no more additional elements. The interferometer includes a Kepler beam expander system consisting of two collimators with 100mm and 600mm aperture. The 600mm aperture collimator is viewed as a transmitting element between the interference cavity of a 100mm TF and a 600mm RF. The polarization state of the incident beam can be switched between P light and S light, where a phase difference can be obtained between two measurements. The difference between the two distributions can be viewed as the birefringence effect on the dynamic interferometer. Besides, the system error can be removed during the data subtraction. Experiments are conducted on a 600mm dynamic interferometer and the correction result is compared with a wavelength tuning method which is free of polarization errors brought by the stress-induced birefringence stress. A comparison is also conducted with the correction result realized via a wave plate model proposed before.
AESTHETIC AND ART EDUCATION AS A SOCIOCULTURAL PHENOMENON

The article analyzes the phenomenon of aesthetic and art education in the context of postnon- classical culture, which most fully reflects the peculiarities of the worldview orientations and values of a modern man, and is a kind of reference point for determining the scientific and theoretical basis for the development of this phenomenon at the present time. The article reveals the reasons for strengthening the social role of aesthetic and art education, which connects it with the values of the family, leisure activities and informal education. Aesthetic and art education is considered as a “living” organism that is in constant motion, able to respond to sociocultural changes, and in its rhizomaticity does not ignore the heterogeneity of the surrounding world; as an integral component of education in general, which is found in the community of key tasks focused on “human creativity” in the context of value and meaning categories of culture. It is justified the shift from information and knowledge pedagogy to pedagogy of meaning, actualizing the importance of processes of self-identification, harmonizing the relationship between man and the world, itself based on the parity of dialogical forms of cognition; the transfer of dynamics of artistic and creative activities to the internal world of the individual and the updating on this basis of strategies of irrational thinking. In conclusion, the author is concerned about the level of humanitarian culture in the society and studies aesthetic and art education as an effective mechanism for its development, as a general cultural value internalized by society.
Maxwell-Rayleigh Distribution and Its Applications

In this study, a new distribution was created, which is the Maxwell-Rayleigh distribution with two=parameters (
Review of research on monitoring mathematical competencies of students

The article analyzes foreign research on monitoring the mathematical competencies of students. The key issues related to the use of the results of assessment of students' academic achievements in conducting national monitoring of the quality of education are considered. The specifics of using the results in each of the countries are discussed, including the interpretation and presentation of evaluation data for different user groups.
Statistical analysis of songs by composers of the Romantic era: A comparison of F. Schubert and his contemporaries

The study investigates musical compositions via quantification using mathematical methods. The investigation is based on Franz Schubert’s song cycle Die Winterreise, Robert Schumann’s song cycle Myrthen, and on works by other composers. The study obtained p-value estimates for each quantity to assess its adequacy and probability of getting reliable result. The obtained p-values show probability of obtaining corresponding mean value of the investigated parameters. The results will allow finding objective criteria for describing his work in comparison with the works of other composers. They are useful for restoring musical notations, analyzing and classifying works of unknown authorship.
DEEP LEARNING FOR SEMANTIC MATCHING: A SURVEY

Semantic matching finds certain types of semantic relationships among schema/data constructs. Examples include entity matching, entity linking, coreference resolution, schema/ontology matching, semantic text similarity, textual entailment, question answering, tagging, etc. Semantic matching has received much attention in the database, AI, KDD, Web, and Semantic Web communities. Recently, many works have also applied deep learning (DL) to semantic matching. In this paper we survey this fast growing topic. We define the semantic matching problem, categorize its variations into a taxonomy, and describe important applications. We describe DL solutions for important variations of semantic matching. Finally, we discuss future R\&amp;D directions.
Sentiment Analysis of Twitter Data Using Machine Learning Classification Algorithms

Every day, a vast amount of data has been produced over various social sites. A huge number of users share and tweet regular updates on Twitter. The tweet is a short way of expressing thoughts on any topic. So, the sentiment analysis of this data is a must to keep track of the tweets. Sentiment analysis is the way to carry out text mining. In this paper, to analyze tweet data, from the Kaggle data set we have taken 100,000 tweets for our research; 90,000 tweets for training and 10,000 tweets for testing purposes. The data set initially applies feature computation technique using term frequency-inverse document frequency (TF-IDF). After cleaning the data, we have to apply classification techniques like SVM, Decision tree, and Random forest. Support-vector machines (SVM) classification is given better results in terms of accuracy, precision, recall, and F-score parameters.
Using Neural Networks for the Classification of Objects

In this chapter, we use neural networks for the classification of objects. Classification is the task of recognizing various objects and determining the class that those objects belong to. As with many areas of artificial intelligence, classification is easily done by humans, while being quite difficult for computers.
ASSISTING CUSTOMER FOR PRODUCT PURCHASE USING INTERACTIVE CHATBOT SYSTEM

Business is the regular production or purchase and sale of goods undertaken with an objective of earning profit and acquiring wealth through the satisfaction of human wants. (Anuj William, 2019). The ING HING HONG SDN BHD is the main building materials supplier in Sibu and wants to provide better customer service. However, the building material is not a commonly used product for first-time customer. This will cause the customer to lose a lot ofmoney when buying building materials wrongly. With the use of a chatbot, the customer can easily obtain detailed information about the building material product, such as roofing and painting, online without the help of real staff before purchase.
Demonstrating inferential and modeling processes in cognitive psychology

chemistry (e.g., "Does adding substance X to substance Y produce an increase or decrease in mixture temperature?") or in psychology (e.g., "Is helping behavior affected by the number of bystanders present?") may be examined and confirmed simply through direct observation. In some courses (e.g., cognitive psychology) and for some research questions, the research methods emphasize behaviors and events impossible to observe directly . Consequently, students may report that the studies described do not make sense, or that they cannot understand how the experiment performed led to the reported conclusion.
The vector subject in the factual ontology of Q. Meillassoux

The concepts of contingency, factuality, and correlationism introduced by Meillassoux are clarified in the article. The question of the contingency of the forms of correlation is revealed in the context of the functioning of post-Kantian philosophy. The contingency of the correlationist theories of a subject is established. The article substantiates the thesis about the dual position of the subject in the factual ontology: Meillassoux reaches the antisubjectivist contingency through a radical overcoming of the various paradigms of the subject, then, the philosopher recovers the position of a strong subject from the non-human contingency. Basically, the article deals with the ontological status, characteristics and factual ethics of the vector subject. It reveals the way in which Meillassoux thinks of the subject in the context of the radical unreasonableness: this is the simultaneous holding, on the one hand, the order of the actual given and, on the other, the contingency of the given and the subject. The factual character of the subject-object dichotomy restored by Meillassoux is clarified. It’s established that non-Hegelian dialectics is the main manner of navigating the subject in the contingent universe. The key property of the subject, its “vectorness”, is determined. The main characteristics of the actual and virtual World are highlighted. Furthermore, it’s investigated how the subject is activated in the direction of the virtual World. It’s noted that the thinking of the vector subject is more focused on temporality than on space. The ontological foundations of the “spiritual exercises” prescribed to the vector subject are analyzed.