Reviewerly/exHarmony huggingface dataset:
oKat-SIM &amp;#8211; An Interdisciplinary Research Project to Optimize Natural Disaster Management Using Augmented Reality

&amp;lt;p&amp;gt;In the event of a natural disaster, local authorities often have to rely on limited experience and sporadic training to make important and lifesaving decisions. This increases the stress levels of the workforce involved in the response effort and can result in an inaccurate assessment of the situation with potentially catastrophic consequences. oKat-SIM aims to support local administrative offices in natural disaster situations by providing augmented reality (AR)-based training to public authorities in order to increase geohazard awareness and improve associated responses. Our initial focus is on possible flood and landslide scenarios in three different regions of Germany: the lowlands of G&amp;amp;#246;rlitz, urbanized Leverkusen, and the mountainous Garmisch-Partenkirchen region. These scenarios are based on state-of-the-art modelling of realistic, cascading natural disaster events and incorporate environmental parameters such as precipitation, high-resolution topography, and examples from past events. Together with local partners, we are developing training simulations adapted to the threats posed by natural disasters in each of the study areas. We use the Unity game engine to translate GIS-based data and modeling results into the AR simulation environment. AR training immerses the participants in realistic states of emergency while maintaining direct communications, which results in safer and more rapid decision making that will ultimately protect communities from natural disasters. The success of the training will be evaluated by cognitive science methods including measuring the learning effect under different stress levels. These measurements will be used to modify the training environment to achieve optimal learning results.&amp;lt;/p&amp;gt;
KEMAMPUAN MEMPARAFRASEKAN CERITA FANTASI PADA SISWA KELAS VII SMP NEGERI 13 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

Research that raises the problem of the ability to paraphrase fantasy stories in class VII students of SMP Negeri 13 Bandar Lampung Academic year 2018/2019. Aspects of assessment include: (1) conformity of content with title, (2) use and writing of spelling, (3) choice of word, (4) interfaith coherence, (5) overall content. Research uses descriptive quantitative methods. The study population was all VII grade students of SMP Negeri 13 Bandar Lampung Academic Year 2018/2019 which totaled 319 students. The sample of this study was determinded by 1 class tajen using clusster random sampling. Data collection using assignments. The analysis was carried out using quantitative descriptive methods, namely by assessing the results of students writing based on aspects of assessment by scoring.
Model Implementation of Flood Control Policies Based on Community Participation (Study of Policy Implementation in Flood Hazard Management in Purwantoro Village, Malang City)

The purpose of this study for this study aims to create a model for implementing community participation-based flood control policies to mobilize people to play an active role in flood control programs and environmental management in densely populated urban areas.To achieve these objectives, this study has a specific objective, namely to describe and analyze a model of flood management based on community participation in urban areas in Malang City based on Malang City Regulation No. 5 of 2016.The method of this study uses a qualitative approach that is descriptive.The community participation-based flood control policy model is a public participation-based public policy implementation model that is not only focused on overcoming flood problems but also provides benefits to the surrounding community in the form of job opportunities and provides additional economic value in the form of harvested eggplant, chili, catfish, and tomato.Thus, this control policy model is a community participation-based flood control policy with a new approach in the form of a synergy of 4 (four) stakeholders, namely: government, academia, business and local communities.
РОЛЬ И ЗНАЧЕНИЕ ВНЕКЛАССНЫХ ЗАНЯТИЙ В МУЗЫКАЛЬНОМ ВОСПИТАНИИ ЛИЦ С ОСОБЫМИ ОБРАЗОВАТЕЛЬНЫМИ ПОТРЕБНОСТЯМИ

Do not lose children with intellectual disabilities in the turbulent flow of knowledge - this is the actual task of today. In the Soviet era, the study of the problems of raising children with intellectual disabilities was widely developed and constituted a significant part of the special pedagogy. For the years of independence, this sphere of pedagogical science has undeservedly remained without due attention, a small amount of scientifically grounded methodological works, which gives particular urgency to this problem.
Data augmentation by using image processing technique for low light characteristics water of intelligence underwater vision system / Siti Nur Mardhiah Hamzah

Data augmentation is used to significantly increase the number of available datasets for training models in Convolutional Neural Network or CNN. CNN required a lot of datasets in order for training and testing the models to acquire better accuracy of overall project. However, an available dataset for underwater images are vast and unmatched with low light characteristics due to cloudy water in pond environment. Therefore, this paper proposed the data augmentation by using image processing techniques for low light characteristics water of intelligence underwater vision system. The objective of this study is to develop an augmented underwater dataset by using various image processing techniques and to evaluate the effect of image augmentation on underwater images in the CNN performance. The data augmentations are using Gaussian Noise and Grayscale Conversion for augmenting the original datasets. Histogram Equalization is used to enhance the shrimp and underwater images as part of the image processing technique applied. Lastly, the CNN model is trained and validated using both before and after augmented datasets to compare the performance in terms of the percentage and the losses. The results show that after augmentation reached 99.3% for training and 99.1% for validation accuracy. In conclusion, this study has shown that by performing data augmentation, it is able to boost the number of datasets for training and testing the CNN model and also enhancing the accuracy of the trained models.
Meta-Learning for Variational Inference

Variational inference (VI) plays an essential role in approximate Bayesian inference due to its computational efficiency and broad applicability. Crucial to the performance of VI is the selection of the associated divergence measure, as VI approximates the intractable distribution by minimizing this divergence. In this paper we propose a meta-learning algorithm to learn the divergence metric suited for the task of interest, automating the design of VI methods. In addition, we learn the initialization of the variational parameters without additional cost when our method is deployed in the few-shot learning scenarios. We demonstrate our approach outperforms standard VI on Gaussian mixture distribution approximation, Bayesian neural network regression, image generation with variational autoencoders and recommender systems with a partial variational autoencoder.
Vocabulary Based Information Retrieval: A Look at CSR Reports by European Listed Companies

This paper offers a solution for the automatic retrieval of topic-specific discussions from .pdf documents. The suggested algorithm's main contribution consists of isolating topical discussions independently of the document's structure and disclosure location within the .pdf. We demonstrate this property by exploring corporate social responsibility (CSR) reporting that varies considerably across companies and countries. Our final successful extraction rate is calculated based on a randomly selected 50 annual reports where human readers identified CSR discussions. The final percentage of retrieval exceeds 90 %. Statistical validation of this approach also confirms capturing the underlying CSR construct by its high correlation with a CSR performance rating.
Hydrothermal systems and sulfide deposits from rift zones of the Pacific and Atlantic: Comparative analysis

According to thermodynamic modelling data, Zn is preferably leached from basalts at early stages of development of oceanic hydrothermal systems, and Cu - at late stages. This explains low Zn/Cu ratios (&lt;1) in small massive sulfide bodies of the East Pacific Rise axial zone and high ratios in large mature massive sulfide deposits of the Mid-Atlantic Ridge. Pb becomes an important component of hydrothermal solutions and deposits from sedimented spreading centers and of those associated with differentiated magmatic series in back-arc settings. Low base metal contents in solutions and the relatively low percent of sulfides in some of the sediment-hosted hydrothermal deposits reflect substantial metal deposition in sediments.
Presenting New Methods for Improving the Ant-Miner Algorithm

Background and Objectives: The Ant-Miner algorithm works based on Ant Colony Optimization as a tool for data analysis , and is used to explore classified laws from a set of data. In the current study, two new methods have been proposed for the purpose of optimizing this algorithm. The first method adopted logical negation operation on the records of the produced laws, while the second employed a new Pheromone Update strategy called “Generalized exacerbation of quality conflict”. The two proposed methods were executed in Visual studio C#.Net , and 8 public datasets were applied in the test. Each one of these datasets was executed 10 times both in an independent way and combined with others, and the average results were recorded. Methods: In this study, we have proposed two approaches for the earlier method. Using the first method in the construction of rule records, idioms that include the rules can be made in the form of . Compared to the idioms of the early algorithm, these idioms are more compatible while constructing rules with high coverage. The advantage of this generalization is the reduction of the produced rules, which results in greater understandability of the output. During the process of pheromone update in the ordinary ACO algorithms, the amount of the sprayed pheromone is a function of the quality of rules. The objective of the second method is to strengthen the conflict between not-found, weak, good, and superior solutions. This method is a new strategy of pheromone update where ants with high-quality solutions are motivated through increasing the amount of pheromone sprayed on the trail that they have found; conversely, the ants that find weaker solutions are punished through eliminating pheromone from their trails. Results: The optimization of the initial algorithm using the two proposed methods produces a smaller number of rules, but increases the number of construction diagrams and prevents the production of low-quality rules. Conclusion: The results of tests performed on the dataset indicated the enhancement of algorithm efficiency in idioms of fewer tests, increased prediction accuracy of laws, and improved comprehensibility of the produced laws using the proposed methods.  ======================================================================================================Copyrights©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.======================================================================================================
ЖАРАТЫЛЫСТАНУ ҒЫЛЫМИ БІЛІМ БЕРУДЕ ФИЗИКАНЫҢ ЖАРАТЫЛЫСТАНУ ҒЫЛЫМДАРЫМЕН ПӘНАРАЛЫҚ БАЙЛАНЫСЫН ЖҮЗЕГЕ АСЫРУДЫҢ ӘДІСТЕМЕЛІК НЕГІЗДЕРІ

The article deal with the problems of implementing intersubject communications of physics with the natural sciences in natural science education. The relevance, significance, goals, methods and forms of the implementation of intersubject communications of physics with the natural sciences in natural science education are established.It is shown that the only way for future teachers of physics to form deep and systematic knowledge is to prepare them for the implementation of interdisciplinary knowledge. Intersubject communication should be considered as a manifestation in the educational process of the relationship of different sciences. No single science, no matter how significant and developed it may be, can create a holistic view of the world, but can only take part in its formation. Interdisciplinary communication, acting as a bridge connecting all objects and sciences, opens up wide opportunities for the development of specific sciences and the scientific picture of the world. Therefore, interdisciplinary communication, as a prerequisite for the successful development of scientific knowledge, and as a method of searching for new results and cognition, reveals to students the way of understanding the world, and thereby ensures conceptual thinking.
Mentoring as an enterprise development driver

The institute of mentoring became widespread in Russia back in the Soviet era; this tool is very popular in other countries as well. In his article, the author talks about the basic principles of implementing a mentoring program based on the experience of ZhBK-1 Corporation, one of the largest developers in the Belgorod region. According to the author, the advantage of implementing the Mentoring program in a modern enterprise is the ability to independently train a specialist who meets the requirements of production, and also helps protect him from a shortage of qualified labor in the labor market.
Feature Extraction of English Books on Tourism Using Data Mining

According to the White Paper on Tourism for 2020, before the outbreak of COVID-19, 20.08 million Japanese people traveled abroad, and 31.88 million foreigners came to Japan for sightseeing in 2019. It can be said that it had been the time of sightseeing. The knowledge of tourism has become more and more important, and reading materials in English has been indispensable. In this paper, several English books on tourism are investigated, compared with journalism in terms of metrical linguistics. In short, frequency characteristics of character- and word-appearance are investigated using a program written in C++. An exponential function is used to approximate these attributes.&nbsp; Furthermore, the percentage of Japanese junior high school required vocabulary and American basic vocabulary is calculated to obtain the difficulty-level as well as the K-characteristic of each material. As a result, it is obvious that English materials for tourism have a similar trend in terms of character-appearance to literary writings. Furthermore, the K-characteristic values for tourism materials are high, and older publications with a higher specialty are more difficult to read than journalism. Moreover, as a whole, the book whose publication year is the newest has characteristics close to those for journalism.&nbsp
ASSOCIATIVITY AS A FORMATION SOURCE OF A MUSICAL COMPOSITION EDITING FORM OF THE SECOND HALF OF THE 20TH CENTURY

The object of the research in this article is associativity as a characteristic feature of 20th century art. The nature, the role of the association in the work of artistic thinking, the principles of its functioning are considered. The subject of the research is the editing form of a musical work of the second half of the 20th century. Particular attention in the article is paid to the consideration of such an important factor influencing the formation of a stable associative connection as repetition. At the same time, it is specified that repetition is caused by a specific life situation. This repetition forms a chain of associations that create an integral content space of a musical work. The work uses general scientific research methods in the framework of comparative and logical analysis, including generalizations and comparisons. The work is based on the analytical method and has a systemic interdisciplinary nature as well. In revealing the specifics of the installation form, the author of the article turns to the theory of compositional ellipsis V. Bobrovsky. The main conclusion of the study is that the importance of associativity in the work of Russian composers in the second half of the 20th century is increasing, reaching the status of a characteristic feature of artistic thinking. The process of expanding associativity manifested itself, in particular, in the emergence in musical creativity of a new type of form creation - editing. The analysis revealed the features inherent in the montage type of construction of a work of art. This is the dismemberment of thematic material, the syntactic isolation of thematic structures, the organization of the form «from the end», the internal unity of the mosaic structure, and others. The novelty of this research lies in the fact that for the first time associativity is considered as a source of montage shaping, in the choice of research methodology, as well as in the identification of special features of the composition, manifested in the conditions of montage drama.
Container-based Service State Management in Cloud Computing

In a cloud data center, the client requests are catered by placing the services in its servers. Such services are deployed through a sandboxing platform to ensure proper isolation among services from different users. Due to the lightweight nature, containers have become increasingly popular to support such sandboxing. However, for supporting effective and efficient data center resource usage with minimum resource footprints, improving the containers’ consolidation ratio is significant for the cloud service providers. Towards this end, in this paper, we propose an exciting direction to significantly boost up the consolidation ratio of a data-center environment by effectively managing the containers’ states. We observe that many cloud-based application services are event-triggered, so they remain inactive unless some external service request comes. We exploit the fact that the containers remain in an idle state when the underlying service is not active, and thus such idle containers can be checkpointed unless an external service request comes. However, the challenge here is to design an efficient mechanism such that an idle container can be resumed quickly to prevent the loss of the application’s quality of service (QoS). We have implemented the system, and the evaluation is performed in Amazon Elastic Compute Cloud. The experimental results have shown that the proposed algorithm can manage the containers’ states, ensuring the increase of consolidation ratio.
Electronic Health Records Using Blockchain Technology

Due to the rapid growth of HealthCare management, it is crucial to maintain the Electronic Health Records of patients. Electronic Health Record systems face problems in terms of security, integrity, and management since a large volume of patient’s sensitive data is shared between anonymous bodies. To overcome these issues, this project aims to explain how Blockchain technology can be a solution for EHRs systems. We proposed a system to implement blockchain technology for EHR and to provide secure storage of electronic records by defining granular access to the users by interpreting an EHR web application. This project also aims to put the patient in control of their medical data.
Integration of Robotics into STEM Education for Facilitating Environmental Sustainability

This day, increasing attention demonstrated in developing innovative tools for improved teaching and learning of Science, Technology, Engineering, and Mathematics (STEM) for environmental sustainability made robotics not only an outstanding tool for hands-on learning but of general topics in educational institutions. Robotics help learners transmute abstract scientific, engineering and technological concepts into concrete one for the understanding real-world environment, hence countries like China, Japan, Russia and the United State of America organized robotic competitions for secondary school STEM subjects to cultivate in students, the intelligence and talent in the future/upcoming generation. This study is a quantitative research that investigated the feasibility of integrating robotics into STEM education to facilitate classroom instruction in secondary schools. The undergraduate and postgraduate students of two technology based universities from different continents were chosen as the respondents of the study. The study, which adopts purposive sampling technique distributed an online survey of 357 respondents for which 197 responses were retrieved and are analyzed using Statistical Package For Social Science 25.0. The results indicated that the majority of the respondents (mode, 5) agreed that robotics could be used to teach programming, problem-solving for STEM subjects, design and even music and art to learners at all levels of their education. Moreover, over 80% strongly agreed that integrating robotics in teaching and learning processes would facilitate the classroom instructions. Thus, it is high time for educators to encourage the development and implementation of robotics in the instructional processes.
Landcover Quality Detection Using Segmentation And Content Base Image Retrieval Methods

This paper tries to explore level and accuracy Content Based Image Retrieval method on Landsat imaginary. The images include an areal photography and land satellite photoraphy or Landsat which widely used and recognize for spatial information analysis. The analysis uses mapping of situation or state of earth’s surface, particularly the land surface. Landsat can be used to create topographic map, determining of attitude or height model of a certain place in the earth. Aerial photographs are used to detect changes of earth surface, in this work the changes by using Content Based Image retrieval or CBIR. The accuracy changes measurement calculate using precision and recall parameters. In this paper, Landsat images also used to detect the appear and dis appear of vegetation and other objects on the earth. More than 100 Landsat images used in this work, and around 15 images was use d as queries. The results show that accuracy of image retrieval is a quite good , which more 75%. Keywords: Landsat Images, CBIR, Precision Recall