Reviewerly/exHarmony huggingface dataset:
Efforts To Improve The Reading Skills of 2nd Graders by Applying Demonstration Methods

Reading is a very important language skill in life. Cultured and educated people make reading a necessity in communicating. By reading learners will easily gain knowledge and insight from anywhere. Based on the above it can be concluded that without the ability to read well, then learners will not be able to understand the learning process and the material taught. The use of demonstration methods is expected to improve the reading skills of 2nd grade learners in SDN 3 Tirtomoyo District Tirtomoyo Wonogiri Regency .
Research on Multi-joints Motion Planning Method by Online Auto-Learning Mode Based on Neural Network

The multi-joints motion planning method by online auto-learning mode based on neural network which can realize new trajectories’ planning and control of multi-joints manipulator is extensively used in the field of trajectory tracking, planning and control of intelligent robot, especially for rigid manipulator to achieve the discovery of new trajectory, real-time self-learning and control itself. Such method can achieve the real-time self-learning and control of nonlinear complex trajectories, by taking advantage of the global optimal approximation performance of the neural network. The functional relationship can be established between the current trajectory information and trajectory information at the previous N moments by neural network, and because of this, information related to trajectory can be predicted, thereby realizing on-line self-learning of multi-joints. This method is used for the real-time control of intelligent mechanical arm which can reduce the difficulty of numerical solution greatly, improve the efficiency of calculation and boost the ability of real-time self-learning.
Impact of Entrepreneurship on Economic Growth in selected Developed and Developing Countries: Exploring the Role of Institutions

This study explores a new stream of research shedding light on the influence of entrepreneurship on economic growth by exploring the role of formal (government effectiveness & political stability) and informal (control of corruption & freedom to trade internationally) institutions. Two Step System Generalized Method of Moments (SGMM) was used to analyze the unbalanced panel dataset of thirty-six developed and developing countries for the time period 2002-2017. The empirical results of the study revealed a conclusive effect of entrepreneurship on economic growth of the sample countries.  Furthermore, informal institutions have a greater impact on entrepreneurship than formal institutions. Institutional variables like government effectiveness, control of corruption, freedom to trade internationally and political stability have robust, conclusive and significant effects on economic growth in all the countries. The study results confirmed that formal and informal institutions can further strengthen the relationship between entrepreneurship and economic growth. From the study results we concluded that development of entrepreneurial activities along with strong institutions are mandatory for faster economic growth and should be the primary focus of development policy.
Experimental Evaluation of Saliency Detection Model for Product Region Prediction

This paper aims to clarify effectiveness of saliency detection models, which can identify regions of human eye fixation in images, in product region prediction towards further improvement of product image extraction in the future. To confirm the effectiveness, we tested seven handcrafted feature based saliency detection models, which are developed by expert priori knowledge, and three Deep Neural Network (DNN) based saliency detection models, which can perform the automatic feature extraction without much human intervention. Our evaluation, which employed 300 product images, demonstrated that GMR model, which is classified as the handcrafted feature based saliency detection model and which is based on the assumption that the regions in image boundary are more likely to be the background, was the most effective, because prediction accuracy of GMR model was 94.80%, which was 3.47% or more higher than those of other models. Thus, GMR model, which does not require any annotated training dataset, is expected to construct the lower introduction cost and more accurate product image extraction.
Generative Adversarial Networks Based PCG for Games

With the steep transition toward automation in virtually every aspect of human lives, content creation is no exception. The automation of content creation, formally called Procedural Content Generation (PCG), has led researchers to investigate novel approaches to create gaming content as well. Minimizing or making human participation optional, the various methods have been investigated over the past few decades. In recent years, however, with the application of artificial intelligence (AI), several cutting-edge technologies have been utilized in pursuit of these goals. Also, the emergence of state-of-the-art machine learning (ML) algorithms, followed by the incorporation of edge-cutting deep learning (DL) methods, such as reinforcement learning, evolutionary computation, and generative adversarial networks (GANs), have sped up the tempo. The superior results achieved by these developments have acted as a catalyst to improvise upon these algorithms and are paving the path to developing revolutionary algorithms in recent times. One such area of interest is the application of GANs for games. This survey explores the contemporary usage of GANs in the gaming domain, addresses the needed developments necessary for further progress, and is accompanied by some possible future developments using these techniques for gameplay content generation. The existing application of GANs in games is also expounded via a concise overview of existing games based on these novel approaches.
Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding.

Fast multi-scale neighbor embedding (f-ms-NE) is an algorithm that maps high-dimensional data to a low-dimensional space by preserving the multi-scale data neighborhoods.To lower its time complexity, f-ms-NE uses random subsamplings to estimate the data properties at multiple scales.To improve this estimation and study the f-ms-NE sensitivity to randomness, this paper generalizes the f-ms-NE cost function by averaging several subsamplings.Experiments reveal that this can slightly improve the quality of the embeddings while maintaining reasonable computation times.
A Study of the Relationship Between Teachers’ Perceptions of Principal’s Transformational Leadership Style and Their Perceptions of Professional Development in Ning’er Vocational High School, Yunnan, China

The main purpose of this study was to determine the relationship between teachers’ perceptions of principal's transformational leadership style and their perceptions of professional development in Ning’er Vocational High School, Yunnan, China. There were three research objectives to guide this study: (1) to identify the teachers’ perceptions of the principal's transformational leadership style, (2) to identify teachers’ perceptions of professional development, and (3) to determine the relationship between teachers’ perceptions of principal's transformational leadership style and their perceptions of professional development in Ning’er vocational high school, Yunnan, China. This research design was a quantitative and relationship study. The data collection tool for this study was a questionnaire divided into two parts. A total 60 full-time teachers in Ning’er Vocational High School replied the Multifactor Leadership Questionnaire which was adapted from Avolio and Bass (1995) and Evaluating The Effectiveness Of Professional Development Questionnaire was adapted from Lowden (2003). The first part of questionnaire to examine teachers’ perceptions of principal’s transformational leadership style and the second part to examine their perceptions of professional development. This study found that teachers’ perceptions of principal’s transformational leadership style and their perceptions of professional development were high; and there was a moderately positive relationship between teacher’s perception of principal leadership style and their perception of professional development.
The Nature of Writing – A Theory of Grapholinguistics [book cover]

Cover illustration: Purgatory: Canto VII – The Rule of the Mountain from A Typographic Dante (2008) by Barrie Tullett (also displayed in Barrie Tullett, Typewriter Art: A Modern Anthology, London: Laurence King Publishing, 2014, p. 167). With kind permission by Barrie Tullett. The text is taken from Dante. The Divine Comedy, translated by Dorothy L. Sayers, Harmondsworth­Middlesex: The Penguin Classics, 1949. On the lower part of the illustration, one can read the concludingverses of the Canto: But now the poet was going on before;“Forward!” said he; “look how the sun doth standMeridian­high, while on the Western shoreNight sets her foot upon Morocco’s strand.”
Особенности научно-исследовательской и творческой работы студентов в 1960–1980-х годах на примере Уфимского государственного института искусств

The present article researches the particular features of student scholarship by the example of the Ufa State Institute for the Arts during the time of its flourishing. This educational institution pertains to the artistic category of higher educational institutions, so the basic types of the students’ work in the field of scholarly research have been of cultural-aesthetic, artistic-creative and educational character, free of economic indicators or statistics. The article discusses the specific features of the Students’ Scholarly Society’s work in this artistic educational institution. The authors have carried out detailed analysis of archival documents, which are published for the first time. The importance of scholarly student communities for expanding one’s perspective, deepening of knowledge in the major field of studies, broad communication, exchange of experience, and connections with other higher educational institutions in the country is revealed. Generalizations are made of data about the participation of students in scholarly research work during tutorial and non-tutorial hours. Demonstration is made of the students’ and their advisors’ achievements, and facts testifying of the primary activities of students’ scholarly communities, and, in addition, facts are cited testifying of the primary activities of the students’ scholarly communities, including their concert performance activities. Keywords: Ufa State Institute of Arts, Students’ Scholarly Society (SSS), Students’ Work on Scholarly Research (SWSR), concert performance activities, competition, folklore expedition, Olympic games, ensemble.
Secure Electronic Health Records (EHR) Management Using Blockchain

Medical institutes have become an integral part of human life. An individual visits a hospital or a dispensary many times throughout their life. These institutions keep the records of all such individuals to themselves and control confines its access only to its trusted or contracted medical practitioners, thus acting as a central authority over the patient’s data. However, the patient or the individual should be the one who ideally should be the controller of his/her medical records. Blockchain is a technology that provides a way to establish a decentralized and secure ecosystem. In this chapter, we propose an alternative system to handle the Electronic Health Records (EHR) in a decentralized manner, as opposed to the current centralized rigid system, in such a way that assures patient security and complete control of their health records.
Evaluation Criteria for Multi-Cloud Providers for Cloud Migration of SAP Systems

Digital transformation, cloud and intelligent digital technology adoption are driving the core ERP systems to embrace more agile, seamless and intelligent characteristics. Customers want to experience seamless , device and channel agnostic, end to end business process without any disruption regardless of where the application is hosted-on premise, public cloud, private cloud or hybrid cloud. This article provides a deep dive into what is Cloud Migration of SAP to hyperscalers and how should we evaluate multi cloud options to seamlessly migrate SAP systems.
Homo Digitalis: Request for a new personality configuration

The article presents the results of scientific reflection, the object of which is Homo Digitalis as a representative of the modern digital society. The aim of the article is to study the emerging configuration of the individuality of Homo Digitalis as a response to the demand of the digital world. Based on the theoretical and methodological foundations of the study of individuality in the context of different directions and approaches, the definition of individuality is formulated as a complex hierarchically organized system of interconnections of different levels in the sovereign, original and reflected subjective world of a person, based on a constructed picture of the world, value-appropriated and meaningful mastered form of being. The article shows the transformations of individuality representations caused by the development of information and communication technologies, a change in the ontological status of digital devices and a person’s dependence on them, the frequency and density of personal interactions with various Others in the digital environment and the discrepancy between the real and digital personality, digital and personal identity, as well as specific features digital subjectivity. It is established that the newly formed personality configuration of Homo Digitalis acts as a response of Homo Vitrualis to the request of a rapidly developing digital society. The applied aspect of the problem under study is the possibility of using the results of the conducted scientific reflection in the educational process, as well as in consulting practice.
Research on the Construction of Mixed Educational Practice Mode for Pe Majors from the Perspective of “Internet Workshop”

The teaching practice is the key stage of improving the teaching ability and forming the professional consciousness of the students majoring in Physical Education. Using the “internet + “ technology, the “workshop” guidance mode is applied to the guidance of educational practice. The construction of new goals, new ideas, new plans and new expectations of educational practice is just a kind of innovative educational practice mode under the visual field of “Internet + workshop”.
Pembuatan Animasi Motion Graphic dalam Pembelajaran Akuntansi Bagan Akun Standar untuk Jurusan Akuntansi Politeknik Negeri Sriwijaya

In the midst of this COVID-19 pandemic season, learning activities are carried out online and a lecturer is required to be more creative in terms of delivering material and information to students. One solution is learning animation videos. Therefore, the purpose of the research on Creating Motion Graphic Animation in Accounting Learning Standard Chart of Accounts for the Sriwijaya State Polytechnic Accounting Department is to find out how effective this standard account chart learning animation video can convey standard account chart material to students in the online learning process. In this learning animation video, the material to be delivered is packaged with a fictional story played by 2D characters so that it becomes more interesting to know. Keywords: learning animation videos, accounting, standard chart of accounts
PROSTHESTIC ARM FOR AMPUTEES USING VOICE AND GESTURE RECOGNITION

Individuals with motor nerve impairments such as war-time injuries, accidents or amputation due to diseases rely on others to assist them in their daily activities. In the present world, there is an increased number of amputees due to many reasons. The main aim of this project is to develop two modules namely prosthetic arm with voice recognition module and hand gesture module which designed to facilitate the amputees. Prosthetic arm is controlled through voice commands received via microphone which acts as a transducer toconvert the sound into electrical signals. These signals are recognized by voice recognition module, which is a speaker dependent module. This module provides an output which would be the input to Arduino microcontroller which controls the prosthetic arm. Hand gesture module is equipped with flex sensors that are made up of bend sensitive resistance elements which is fixed in the gloves. For each gesture, flex sensors produce a proportional change in resistance. This change in the resistance results in the variation of the electric signals which is given as input to the Arduino microcontroller. When an amputee cannot use voice recognition module, an alternative method used to control prosthetic arm is hand gesture module. In recent years, researchers have been focusing on hand gesture detections and voice-controlled applications which is extended in the area of artificial or prosthetic hand that can mimic the behavior of a natural human hand. The present study develops an evolution in the designing of prosthetic arm to control it independently.
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Adversarial attacks on graphs have posed a major threat to the robustness of graph machine learning (GML) models. Naturally, there is an ever-escalating arms race between attackers and defenders. However, the strategies behind both sides are often not fairly compared under the same and realistic conditions. To bridge this gap, we present the Graph Robustness Benchmark (GRB) with the goal of providing a scalable, unified, modular, and reproducible evaluation for the adversarial robustness of GML models. GRB standardizes the process of attacks and defenses by 1) developing scalable and diverse datasets, 2) modularizing the attack and defense implementations, and 3) unifying the evaluation protocol in refined scenarios. By leveraging the GRB pipeline, the end-users can focus on the development of robust GML models with automated data processing and experimental evaluations. To support open and reproducible research on graph adversarial learning, GRB also hosts public leaderboards across different scenarios. As a starting point, we conduct extensive experiments to benchmark baseline techniques. GRB is open-source and welcomes contributions from the community. Datasets, codes, leaderboards are available at https://cogdl.ai/grb/home.
Towards Useful Information from Unstructured Data Mining

Continous development of web, social networking, mobile computing and Internet of Things in the last decades has lead to a dramatic increase in the volume of data generated and, consequently, to the need for new ways of storing and analyzing of these data. In addition these data no longer have a structured format but are rather in a semistructured or unstructured format. They contain useful information that companies need to explore.  So the methods of mining structured data had to be developed to mining the semistructured and also the unstructured data. In this paper we describe some of the most fundamental mining tasks.
TB CNR Prediction Using H-WEMAA Five Years Reflection

Based on the Global Tuberculosis Report 2019, Indonesia wasranked as number three of the highest TB-burden countries.Tuberculosis (TB) itself is one of the top five leading causes ofDisability-Adjusted Life Years (DALYs) in Indonesia. One healthindicator that can be used to measure TB outbreak in a region is theCase Notification Rate (CNR). There two goals of this study firstly, isto give a holistic reflection of TB disease in Indonesia by using the TBnotification rate of each province and secondly, is to predict future TBoutbreak in Indonesia by using the province’s TB notification rate.The prediction method being used in this study is the Holt’s WeightedExponential Moving Average (H-WEMA) method. The predictionresults show that Sulawesi Selatan, DKI Jakarta, Gorontalo, andPapua are the four provinces predicted to have the highest CNR in thenear future
Similarity perception Siamese network for real-time object tracking

Improving the accuracy while maintaining the real-time performance of object tracking is a major challenge for computer vision field. In this paper, an improved Similarity-Perception-Siamese (SP-Siam) network tracking algorithm based on SiamFC is proposed. The algorithm introduces squeeze-and-excitation (SE) block and residual network for similarity map based on Siamese network, adaptively recalibrates the channel characteristic response of similarity map between target and the search inputs by explicitly modeling the interdependence between channels. This study also verifies the network performance on Object Tracking Benchmark (OTB) tracking datasets. The experimental results show that the squeeze-and-excitation block of similarity map has brought significant performance improvement to the existing Siamese network at slight additional computational cost achieved the goal of improving network performance.
Plans to Activate Investment between Korea and Russia during Putin's Fourth Term – Focusing on High Value-added Industries

The main goal of this study is to identify policy implications for investment cooperation between Korea and Russia in the 4th term of President Putin and to seek ways to increase mutual investment. In particular, case studies were conducted of various investment cooperation projects by Russia with other countries amid the ongoing fourth industrial revolution, aiming to suggest more practical approaches to increase Korean investment in Russia.Marking the 30 years since establishment of diplomatic relations between Korea and Russia, we need to look back on economic cooperation between the two countries and seek ways to develop cooperation one step further. We are seeing fundamental changes in the industrial structure due to reorganization of the international order and digital transformation – such as competition be-tween the United States and China, the establishment of strategic cooperative relations between China and Russia (the so-called fourth industrial revolution), ecosystem disturbances due to climate change and the COVID-19 pandemic, etc. It is necessary to prepare a new type of cooperation strategy in consideration of the fundamental change of paradigm.
Research on Earthquake Acceleration Alarm of Nuclear Power Plant

Abstract Almost all nuclear power plants in the world are equipped with seismic instrument system, especially the third generation nuclear power plants in China. When the ground motion measured by four time history accelerometers of containment foundation exceeds the preset threshold, the automatic shutdown trigger signal will be generated. However, from the seismic acceleration characteristics, isolated and prominent single high frequency will be generated the acceleration peak, which has no decisive effect on the seismic response, may cause false alarm, which has a certain impact on the smooth operation of nuclear power plant. According to the principle of three elements of ground motion, this paper puts forward a method that first selects the filtering frequency band which accords with the structural characteristics of nuclear power plants, then synthesizes the three axial acceleration time history, and finally selects the appropriate acceleration peak value for threshold alarm. The results show that the seismic acceleration results obtained by this method can well represent the actual magnitude of acceleration, and can solve the problem of false alarm due to the randomness of single seismic wave, and can be used for automatic reactor shutdown trigger signal of seismic acceleration.