Reviewerly/exHarmony huggingface dataset:
Globalization as a Source of New Cultural Challenges

The article deals with the problems that confront modern society owing to globalization in culture and interpersonal communication. The digital revolution in the modern world causes great changes, not only in various spheres of human activities, but also in the domain of spirit, and society has to meet new cultural imperatives. In this context, the author writes about civilizational shifts that demand greater than ever consistency between economics, politics and culture. The notion of innovation does not only belong to the economic field, as innovative activity also affects human mentality. Social relationships become a field of warfare through exchange of information and opinions. The author is guided by philosophical-anthropological approaches to interpretation of human nature and, following Bergson’s philosophy, she makes a distinction between intellect and spirit, which is significant for pedagogy. Knowledge should be accompanied by enhancement of the creative and spiritual potential. Thus, the interests of the digital industry (increasing the number of users by facilitating work techniques, by attractive games and entertainment, improving performance, and creating the effect of emotional release) do not coincide with the interests of either social culture or ethics of public life (expanding intellectual cooperation, building mutual understanding, developing collective intelligence, promoting access to education and demand for new knowledge). The concept of human rights, which initially assumed the supremacy of universal values in every person, cannot be reduced to the ethics of comfort. The author concludes that it is only through personal development that human beings can solve actual problems of their existence.
Bee Spices Transition with Rapid Global Optimization Algorithm

Swarm intelligence algorithm is a general term for a class of intelligent groups with self-organized behavior. A novel Artificial Bee Colony algorithm is introduced in this paper, named Bee Spices Transition with Rapid Global Optimization Algorithm (BSTRGOA). The contribution of BSTRGOA algorithm consists of two parts. First, the evolution strategy of bee species balances the global exploration ability and the local search ability. Second, the fast search mechanism of global optimization is proposed. It reinforces global learning of the colony. The BSTRGOA algorithm is experimented with the CEC 2017 benchmark functions. It shows the BSTRGOA algorithm can effectively improve the convergence speed and optimization accuracy. And the BSTRGOA algorithm has a good performance in solving the problem of multi-dimensional function optimization. In addition, BSTRGOA algorithm is also applicable to dynamic economic scheduling analysis, and the conclusion also shows it can significantly improve the time efficiency.
PBL Program Producing Flying Robot in Mechanical and Aerospace Engineering Department

More and more mechanical and aerospace engineering departments of Universities and Colleges are adopting Project-Based Learning (PBL). One of the main purposes of PBL programs is the practical understanding of the relationship between classroom lectures on traditional theories, e.g., material mechanics, fluid dynamics, dynamics of machinery, and control engineering, and real phenomena of mechanical systems. Moreover, we need to take the use of recent digital manufacturing (e.g., 3D printers, CAD/CAM, and CAE) into account as recent educational content and methods. This paper introduces a novel trial of using PBL at Nagoya University. More specifically, the new program provides students with the experience of producing flying robots and introduces the above relationship and digital manufacturing.
Secure and Performant Handling CIM-Based Data Streams in Control Room Software Interaction for Multi Vendor Solutions

Due to the increasing share of renewable energy, new requirements are placed on control room software.Such software is often exclusive to the supplier, but other suppliers could offer new and better methods.For security reasons, external applications often have no direct data access to control room software.Such software can provide information about the power grid via a periodic file transfer in CIM (Common Information Model) format.These files are often very large, containing complete records, delivering information not always relevant to the external applications.Extracting the relevant information required by external applications can be time-consuming, thus presenting a problem for time-critical applications.This paper presents a method allowing different applications to efficiently access the relevant data from the massive data stream contained in the CIM files.This method has been tested with a distribution system operator and clearly increases performance, allowing different applications to access the relevant data.
Assessment of Table Pruning and Semantic Interpretation for Sentiment Analysis Using BRAE Algorithm

We propose bilingually compelled recursive auto-encoders (BRAE) to learn semantic expression embedding (smaller vector portrayals for phrases), which can recognize the expressions with various semantic implications. The BRAE is prepared in a way that limits the semantic separation of interpretation counterparts. Also, it augments the semantic separation of non-translation combinations at the same time. The model identifies how to insert each expression semantically in two dialects and also identifies how to change semantic inserting space in one dialect to the other. We assess our proposed strategy on two end-to-end SMT assignments (express table pruning and interpreting with phrasal semantic likenesses) which need to quantify semantic likeness between a source expression and its interpretation. The detailed tests demonstrate that the BRAE is strikingly compelling in these two assignments.
REDES BAYESIANAS APLICADAS A PRIORIZAÇÃO DE TESTE DE SOFTWARE NA ABORDAGEM AADSP

Law No. 13,243 / 2016, which amended articles of Law No. 10,973 of 2004, as well as instituted the Legal Framework for Science, Technology and Innovation, had provisions that lack regulation. Through Federal Decree No. 9,283 / 2018, gaps were filled and the necessary devices were conceptualized for the use of the inaugurated legislation, in order to achieve technological autonomy and development of the national productive system. Among the legal institutes dealt with by the regulatory decree, there are technology transfer rules between the ICT's and the private initiative, as well as essential requirements of the technology offer extract and minimum requirements for the participation of the interested party.
Learning to segment brain tumors

Automatic segmentation of brain tumors is a challenging problem with many inherent difficulties, such as restricted training data, great intra-class variance, and volumetric images with large computational requirements in terms of processing. To overcome these difficulties, we propose Brain Tumor Parser (BTP), a novel convolutional neural network that takes advantage of a refinement module and global 3D information to perform semantic segmentation of brain structures in volumetric images with multiple modalities. We draw inspiration from recent breakthroughs in edge detection and semantic segmentation in natural images, and we build an accurate and effective three-dimensional network that segments small structures while refining large instances in multi-modal Magnetic Resonance Imaging (MRI). We evaluate our approach on the data from the Brain Tumor segmentation (BraTS) 2017 challenge, obtaining comparable results with the best performing algorithms, while using a single yet efficient architecture.
Departments of Computational Mathematics and Mathematical Cybernetics DNU 60 years

The majesty of mathematics is limitless and immense!
Bayesian variance estimation in the Gaussian sequence model with partial information on the means

Consider the Gaussian sequence model under the additional assumption that a fixed fraction of the means is known.We study the problem of variance estimation from a frequentist Bayesian perspective.The maximum likelihood estimator (MLE) for σ 2 is biased and inconsistent.This raises the question whether the posterior is able to correct the MLE in this case.By developing a new proving strategy that uses refined properties of the posterior distribution, we find that the marginal posterior is inconsistent for any i.i.d.prior on the mean parameters.In particular, no assumption on the decay of the prior needs to be imposed.Surprisingly, we also find that consistency can be retained for a hierarchical prior based on Gaussian mixtures.In this case we also establish a limiting shape result and determine the limit distribution.In contrast to the classical Bernstein-von Mises theorem, the limit is non-Gaussian.We show that the Bayesian analysis leads to new statistical estimators outperforming the correctly calibrated MLE in a numerical simulation study.
The impact of the National Heart, Lung, and Blood Institute data: analyzing published articles that used BioLINCC open access data

<ns4:p><ns4:bold>Background:</ns4:bold> Data sharing is now a mandatory prerequisite for several major funders and journals, where researchers are obligated to deposit the data resulting from their studies in an openly accessible repository. Biomedical open data are now widely available in almost all disciplines, where researchers can freely access and reuse these data in new studies. We aim to study the BioLINCC datasets, number of publications that used BioLINCC open access data, and the impact of these publications through the citations they received.<ns4:bold> Methods: </ns4:bold>As of July 2019, there was a total of 194 datasets stored in BioLINCC repository and accessible through their portal. We requested the full list of publications that used these datasets from BioLINCC, and we also performed a supplementary PubMed search for other publications. We used Web of Science (WoS) to analyze the characteristics of publications and the citations they received.<ns4:bold> Results:</ns4:bold> 1,086 published articles used data from BioLINCC repository for 79 (40.72%) datasets, where 115 (59.28%) datasets didn’t have any publications associated with it. Of the total publications, 987 (90.88%) articles were WoS indexed. The number of publications has steadily increased since 2002 and peaked in 2018 with a total number of 138 publications on that year. The 987 open data publications received a total of 34,181 citations up to 1<ns4:sup>st</ns4:sup> October 2019. The average citation per item for the open data publications was 34.63. The total number of citations received by open data publications per year has increased from only 2 citations in 2002, peaking in 2018 with 2361 citations.<ns4:bold> Conclusion:</ns4:bold> Majority of BioLINCC datasets were not used in secondary publications. Despite that, the datasets used for secondary publications yielded publications in WoS indexed journals and are receiving an increasing number of citations.</ns4:p>
Library Cataloging, Classification, and Metadata Research: A Bibliography of Doctoral Dissertations

The Merriam-Webster Online Dictionary defines research as “studious inquiry or examination; especially: investigation or experimentation aimed at the discovery and interpretation of facts, revision...
Prospects for “Book Culture" in the Context of Education Mediation

Introduction. In the modern era of media development, the social and cultural status of the book is inevitably rethought. The dominant means of transmitting and preserving information in culture as a whole, as well as in the educational system, today are digital devices, which, it would seem, are completely capable of replacing a book. The study aims to problematize the very concept of "book culture", as well as to identify the relevance of book culture in the context of the medial turn of the last third of the XX - beginning of the XXI centuries, in particular in the education system. Methodology and sources . Methodologically, the work is based on a cultural philosophical analysis of research literature. Results and discussion. The phenomenon of "book culture" is considered, transforming under the influence of new digital technologies and digital devices. The situation is analyzed when a generation of teachers of book culture and book-like thinking is faced with the need to master digital technologies and learn in a digital environment at a time when the generation of digital native comes to schools and universities, for which digital culture is not a subject of learning, but the natural habitat from birth. Book culture, like media culture or oral tradition, forms a certain type of perception of the world, sets the logic of thinking, which is especially important in the pedagogical process, when the skills of meaningful thoughtful work with text are formed. With the book, the reader enters into a dialogical relationship, it is individualized, which cannot be said about digital devices that are perceived and used to a greater extent exclusively functionally. Filling the pedagogical process with digital devices and visual information does not still exclude the enormous importance of the teacher's personality, but requires observation and reflection in order to understand the consequences (pluses and minuses) of such mediation. Conclusion. It can be assumed that the book will remain the main form of knowledge representation and the foundation of the educational process. However, book culture, as an integral and valuable attitude to the world, is inferior to the primacy of media culture, which should entail the adjustment of teaching methods and techniques, as well as the refinement of educational goals.
Face Detection Based Automation of Electrical Appliances

This paper addresses the problem of automation of electrical appliances with the use of sensors. The proposed method uses Viola-Jones method a real time face detection algorithm for controlling the electrical appliances which are part of our day to day life. A detector is initialized by Viola-Jones based face detection algorithm automatically without the need for any manual intervention. After initializing the detector, the position where the face detected is computed. The region captured by the camera is split into four different regions. Based on the position of the detected face the electrical appliances subjected to that particular region can be controlled.
DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information

Efficient graph partitioning plays an important role in distributed graph processing systems with the rapid growth of the scale of graph data. The quality of partitioning affects the performance of systems greatly. However, most existing vertex-cut graph partitioning algorithms only focused on degree information and ignored the cluster information of a coming edge when assigning edges. It is beneficial to assign an edge to a partition with more neighbors because keeping a dense subgraph in one partition would reduce the communication cost. In this paper, we propose DETER, an efficient vertex-cut streaming graph partitioning algorithm that takes both degree and cluster information into account when assigning an edge to one partition. Our evaluations suggest that DETER algorithm owns the ability to efficiently partition large graphs and reduce communication cost significantly compared to state-of-the-art graph partitioning algorithms.
Constrained Optimization via Quantum Genetic Algorithm for Task Scheduling Problem

Task scheduling is one of the most important issues on heterogeneous multiprocessor systems. In this paper, the problem is defined as performance-constrained energy optimization. It is a commonly used constrained optimization problem (COP) in practice. Task scheduling for constrained optimization problem is NP problem. It is usually handled by heuristics or meta-heuristics method. Classic quantum genetic algorithm is an excellent meta-heuristics algorithm, but they are hardly ever used to handle COPs because quantum rotation gate can only deal with single objective problem. Moreover, it is difficult to model the task scheduling problems so as to be handled by quantum genetic algorithm. To handles COPs in task scheduling on heterogeneous multiprocessor systems, we propose a new quantum genetic algorithm. In our algorithm, the chromosome consists of task sequence part and mapping part. Task sequence part is generated by list scheduling algorithm which can improve the parallel of the tasks. The mapping part indicates the correspondence between the tasks and the processors which they will run on. The mapping part will be transferred to quantum bits and take part in the evolvement guided by quantum genetic algorithm. Beside, we adopt an adaptive penalty method which belongs to constraint-handling technique to transfer COP into single objective problem. The results in simulations show the superiority of our method compared with state-of-the-art algorithms.
Hubungan Kebiasaan Sarapan Dengan Konsentrasi Belajar Anak TK B di TK Pertiwi 01 Krasak Kecamatan Teras Kabupaten Boyolali

Winda Pitaloka / A520150038. RELATIONSHIP OF BREAKFAST HABITS WITH LEARNING CONCENTRATION OF TK B CHILDREN AT TK PERTIWI 01 KRASAK TERAS, BOYOLALI DISTRICT. Essay. Teacher Training and Education Faculty, Muhammadiyah University Surakarta. July, 2019.This study aims to determine the relationship between breakfast habits and the concentration of learning group B children in Pertiwi 01 Krasak Kindergarten, Teras, Boyolali district. This type of research is quantitative with a descriptive correlation design. Data collection techniques used are observation and questionnaire. The observation sheet instrument was used to measure the concentration of children's learning variables while the questionnaire to measure the variables of children's breakfast habits. This research was conducted in May 2019 at Pertiwi 01 Krasak Kindergarten with 15 children in group B. The data analysis technique used was descriptive analysis for data presentation and product moment correlation for hypothesis testing. The results of data analysis using the product moment correlation test with the help of SPSS15 obtained a calculation of 0.974. This result is greater than rtable at the 5% significance level which is 0.532. In this study, there was a significant relationship between breakfast habits and the concentration of learning of kindergarten children B at Pertiwi 01 Krasak Kindergarten, Teras, Boyolali Regency. The effective contribution of breakfast habits to the concentration of children's learning in Pertiwi 01 Krasak kindergarten is r2 x 100%, which is 94.87%.
Russian National Academic Workshop “Logic, Methodology, Science of Science: Intellectual Practices, Strategies, and Patterns” (Rostov-on-Don, May 16–19, 2019)

The conference held in Rostov-on-Don brought together researchers of logic, methodo­logy of scientific cognition, science of science from Moscow, St. Petersburg, Rostov-on-Don, Krasnodar, Nalchik, Simferopol, Makhachkala, Grozny, Belgorod. The participants evaluated the achievements and identified unsolved theoretical, conceptual and applied issues in the indicated areas of research, and discussed the most promising areas for further work. The conference appreciated the work of Rostov Philosophical School in science of science.
PERSEPSI SISWA TENTANG PEMBERIAN REWARD TERHADAP MOTIVASI BELAJAR SISWA KELAS V SD MUHAMMADIYAH 6 PEKANBARU

This study aims to determine students’ perceptions about giving rewards to the learning motivation of five grade student at SD Muhammadiyah 6 Pekanbaru. This research is quantitative researc, which was held at SD Muhammadiyah 6 Pekanbaru. The sample in this study amounted to 47 respondent namely all fifth grade student SD Muhammadiyah 6 Pekanbaru. Data analysis techniques using quantitative analysis technique by testing and processing data obtained from questionnaires that have been filed out by respondent. The validity of the questionnaire by testing it at SD Negeri 37 Pekanbaru, then the data is processed using SPSS version 22.0 to find a valid statement. Reliability tests were carried out using the SPSS version 22.0 program with alpha cronbach’s values above 0,60. In the t test of two variables, where t arithmetic is greater than t table that is equal to 6,175 &gt; 0,294. In the normality test, the data obtained is greater than 0,05 which is 0,386 which means the data contribute normal. The resulting regression equation Y = 14,051 + 0,491x with a coefficient of determination of 37% and the rest is correlation by other factors not examined by researchers. This can be interpreted that the more positive the perseption of students in giving rewards the higher the motivation to learn
Constrained Path Planning for Both Smooth Motion Profile and Stable Control

In our era, human and machine must share the same workspace in various plants such as warehouse logistics, material transportation, manufacturing factory or assisted human.The collaboration is essential to maintain the safe operation and the complete mission.In this paper, a design of anti-vibration scheme using Spline generator for grounded vehicle platform in human-machine interaction is introduced.This hardware structure is able to play a role as carrier in loading application or human assistant in real life.In most of cases, vehicle must convey cargo from start point to destination instead of human while its reference trajectory conflicts with human's movement.The proposed algorithm helps to carry out a decision of stopping strategy with the least vibration as possible to avoid accident.From the test results, the proposed design is feasible and capable to apply in numerous industries.
PENDAMPINGAN PENERAPAN MEDIA PEMBELAJARAN INOVATIF BERBASIS E-LEARNING UNTUK PENINGKATAN KOMPETENSI PADA GURU SMA N 1 ANJIR PASAR

The majority of teachers at Anjir 1 Public High School Market are skilled in using technology devices such as smartphones and computers. Supported by computer laboratory facilities and internet access in schools so that teachers should be able to make maximum use of these facilities in addition to learning support media as well as supporting the improvement of teacher competencies as professional educators. This community service activity aims to provide edmodo social media-based e-learning training that is very practical and easier to use for beginners so that in addition to the teacher having knowledge of e-learning as well as having the skills to support the learning process without limited space and time. The method used was in the form of an introduction to Edmodo's e-learning as well as the creation of an Edmodo account, followed by training in making digital exam questions using the Edmodo quiz facility involving students of Anjir Pasar 1 Public High School. The results of the activity found that the teacher can make digital exam questions with various types of questions such as true false, short answer, fill in the blank, multiple choice and matching.&#x0D; Keywords: edmodo, e-learning, teacher, quiz
Speeding up OMD Instantiations in Hardware

Particular instantiations of the Offset Merkle Damgård authenticated encryption scheme (OMD) represent highly secure alternatives for AES-GCM. It is already a fact that OMD can be efficiently implemented in software. Given this, in our paper we focus on speeding-up OMD in hardware, more precisely on FPGA platforms. Thus, we propose a new OMD instantiation based on the compression function of BLAKE2b. Moreover, to the best of our knowledge, we present the first FPGA implementation results for the SHA-512 instantiation of OMD as well as the first architecture of an online authenticated encryption system based on OMD.