Reviewerly/exHarmony huggingface dataset:
The Murman-2018 experiment on remote sensing in order to study the boundary of “impenetrability” at the transition between the brittle and plastic states of the crystalline earth's crust

The article describes the experiment “Murman-2018” on remote electromagnetic sounding in combination with frequency and audio magnetotelluric soundings. The current from 29 kW power car-generator was fed into the ground using two mutually orthogonal grounded electric dipoles 1.6 and 1.9 km long. The measurements were carried out along three traces with maximum distances from the source up to 105 km in the mode of frequency sounding (in the range of 4-1000 Hz) and up to 56 km in the mode of remote sensing at direct current. The data processing was performed in the spectral mode and in the accumulation mode. The results of the experiment made it possible to quantify for the first time in the scientific literature the position of the boundary of a sharp increase in rock resistance at a depth of 10-15 km. The nature of the established boundary (the boundary of the “impenetrability” for direct current) is associated with the transition of the properties of the rocks of the Earth's crust from the fragile state in the upper crust to a plastic state at depths of 10-15 km and more. In foreign literature, this boundary is defined as the BDT-zone (brittle-ductile transition zone).
PENGARUH PENDIDIKAN GIZI DENGAN MENGGUNAKAN MEDIA KOMIK TERHADAP PENGETAHUAN GIZI SEIMBANG ANAK KELAS 5 SEKOLAH DASAR DI SDN CIRIUNG 02 CIBINONG TAHUN 2017

Guidelines for balanced nutrition began to be introduced and socialized more than 15 years ago. Guidelines for balanced nutrition apply to every stage of age including school-aged children. Education of balanced nutrition is still little given to school-aged children. According to some research is still a lot of prevalence of knowledge of balanced nutrition is lacking. In the study conducted Zulaekah (2012) showed that as many as 57.7% of primary school children have a lack of nutrition knowledge. This study aims to determine whether there is influence of nutrition education by using Comic media on knowledge of balanced nutrition. In this research use quasy experimental research design with time series design design. This research is done by using comic print media which contains about 4 messages of balanced nutrition, that is variation of food, the importance of clean life, the importance of active lifestyle and exercise, and the importance of monitoring the weight which is visualized in a tumpeng gizi seimbang (TGS). Statistical analysis of data using t-dependent test. The result of t-dependent test shows that there is an increase of average value of knowledge before and after giving comic 36,36. In this research, balanced comic nutrition media can increase the average knowledge of schoolchild by 34,36 or 72,15%.
Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language

This study develops an incorrect example retrieval system, called Sakura, using a large-scale Lang-8 dataset for Japanese language learners. Existing example retrieval systems do not include grammatically incorrect examples or present only a few examples, if any. If a retrieval system has a wide coverage of incorrect examples along with the correct counterpart, learners can revise their composition themselves. Considering the usability of retrieving incorrect examples, our proposed system uses a large-scale corpus to expand the coverage of incorrect examples and presents correct expressions along with incorrect expressions. Our intrinsic and extrinsic evaluations indicate that our system is more useful than a previous system.
Reduced Energy Consumption in Cloud Computing Environment

Development in Information Technology led to the increasing necessity of computing and storage.Cloud services is one of the technologies with huge demand and hence involves more computing resources and storage.Consequently, the energy consumption by the cloud is also increasing.Cloud data centers consume large amount of energy and there by discharging carbon dioxide to the atmosphere.Dynamic efforts are put in to this research to minimize the energy consumption of data centers.This work recommends a technique for energy efficient resource management.Prior techniques do not emphasis on the variations of workloads and deficient in probing the effect of algorithms on performance.Virtual machine configuration also plays a crucial role for reducing energy consumption and resource wastage but is not given much importance.To address these weaknesses, this work recommends a novel method to map groups of tasks to customized virtual machine types.Virtual machine migration is done to stabilize the load by manipulating the load using MIPS, RAM and Bandwidth.
Studi Analisis Pengaruh Filter Aktif Berbasis Fuzzy Logic Controller Untuk Mereduksi Harmonisa Akibat Beban Non Linier

Electrical equipment categorized as the nonlinear load will cause harmonics. Harmonic is a periodic distortion of the sine wave that can cause a negative impact on electronic equipment components. One way to improve power quality is to reduce harmonics using harmonic filters. In this study, an analysis of the system was carried out before adding a filter and after adding an active filter based on a fuzzy logic controller. The application of the fuzzy logic method on filters functions to reduce over switching in the inverter so that it can reach the lowest THDi value. THDi simulation results when the existing conditions are in phase R, S, T; at 14%, 17%, 14%. When the active filter condition is without control, the THDi percentage at the R phase is 6%, the S phase is 6%, the T phase is 4%. In the active filter conditions based on the fuzzy logic controller the percentage of THDi in phase R, S, T; is 0.9%, 0.9, 1%. Based on the simulation results introduced in the active filter based fuzzy logic controller is able to reduce harmonic distortion to the lowest value, so the use of fuzzy logic in active filters can be used in the harmonic filtering process in the electrical system.
AN EVALUATION OF MULTI-ROBOT SYSTEMS EXPLORATION ALGORITHMS

ABSTRACTMulti-robot systems exploration of an environment is an important process that mostautomated applications depend on. In this paper, common algorithms used to performthe exploration process of an unknown cell-based environment occupied by a set ofobstacles using a set of identical robots are studied and their performance are compareddepending on three metrics: the total explored area in the map, overall mission time, andthe number of hops in the networked robots. The performance of these algorithms isevaluated for different environments and different team sizes using MRESim computersimulator.
The Impact of Environmental Sensing Strategies on the Organizational Effectiveness: Evidence from Jordan

The purpose of study is to identifying the impact of environmental sensing strategies on the organizational effectiveness among Jordanian commercial banks. In order to achieve the study objective, a questionnaire was designed and distributed to 175-members study community from the managerial level (director, deputy director and head of department). The appropriate statistical methods were used to analyze the data.&amp;nbsp;&amp;nbsp; &amp;nbsp;&#x0D; &#x0D; The result of the study reveals that, the level of applying environmental sensing strategies in Jordanian commercial banks has reached a high level. The level of organizational effectiveness in Jordanian commercial banks, has also reached a high level. There is a statistically significant impact of environmental sensing strategies (flexibility strategy, containment strategy, and forecasting strategy) on the organizational effectiveness as a whole and on its dimensions, individually, (availability of information, stability).&amp;nbsp; &amp;nbsp;&#x0D; &#x0D; The study reached a number of recommendations, the most important are: creating a system of incentives and rewards for the employees to motivate them to work and to demonstrate distinguished abilities to interpret and clarify the information in a way that serves the organization.
Assessment of the Quality of Management of the Russian University Institution on the Implementation of a Specific Objective

The most important factor in the effective development of any country is the level of national education, including higher education. In turn, the content and quality of the latter is largely determined by how higher education is managed at its various levels, and how effective management decisions are. The content of this article is the author’s model of quantitative and verbal assessment of the quality of management of a Russian university to achieve a specific goal of its development, set for a specific time period. Features of the model: a specific goal is achieved by solving a number of strategic tasks; to assess the quality of management for solving each of these tasks, balanced scorecards (BSC) are formed; on the basis of the BSC for each task, a sub-index is calculated — a quantitative assessment of the quality of management for solving this task; on the basis of the ranked list of strategic tasks and the corresponding sub-indices, an integrated assessment of the quality of university management is carried out in order to achieve a specific goal. The model can be used both as part of the management of a separate university, and for comparing the management of various universities, including the management of Russian and foreign universities.
Modifying Broker Policy for Better Distribution of the Load Over Geo-distributed Datacenters

As an increasing number of businesses move toward Cloud based services, issues such as reduce response time, optimize cost, and load balance over data centers are important factor that need to be studied.Selecting the suitable data center to handle the user request is affecting those factors directly.The Broker policy determines which data center should service the request from each user base; so choosing appropriate policy can improve the performance noticeably.One of the benchmarks policies is service proximity-based that routing the request to the data center, which has lowest network latency or minimum transmission delay from a user base.If there are more than one data centers in a region in close proximity, then one of the data centers is selected at random to service the incoming request.However, other factors such as cost, workload, number of virtual machines, processing time etc., are not taken into consideration.Randomly selected data center gives undesirable results in terms of response time, data processing time, cost, and other parameters.this work propose modifying that policy by applying new schedule algorithm that control the load balance.the results showed that the using of this algorithm instead of the random selection would improve the distribution of the workload over the available datacenters noticeably.
Book Review: Licensing Electronic Resources in Academic Libraries: A Practical Handbook

Within overall collections budgets in many academic libraries, electronic resources account for 75 percent to 90 percent of the entire budget. Given this financial commitment, there is a clear value to having a robust practitioner-directed literature for electronic resource management. Such a literature exists, and the authors of this volume seek to differentiate themselves by emphasizing the licensing process as a critical component of electronic resource management. The partnership of a librarian (Halaychik) with a legal and procurement expert (Reagan) does afford readers with a holistic institutional overview of the licensing process.
Pattern discovery tool and technique of web

In the last years with the development of Internet technology the enhancement of the World Wide Web grows up all expectations. More information is extant in different formats and retrieving content has become a very hard task. One possible approach to solve the issue is Web Usage Mining (WUM). Web mining is the petition of data mining on web data and web usage mining is a vital component of web mining. The aim of web usage mining is to perceive the demeanor of web site users using the process of data mining of web data and Web usage mining is to perceive the demeanor of web site users through the process of data mining of web Access data. knowledge obtained from web usage mining can be used to enhance web creation, introduce personalization service and facilitate more dominant browsing the vital an application of web mining extracting the secret knowledge in the log dossier of a web server recognizing more interests of web clients, searching customer behavior while at the site are normally referred as the application of web usage mining. In this paper, we provide an updated focused review on apart pattern discovery methods of web usage mining.
Nepomnyashchiy, Andrey A. Akademik S. F. Platonov i krymovedenie [Academician S.F. Platonov and Crimean Studies]. Belgorod: Konstanta Publ., 2018, 216 p. (Series:“Biobibliography of Crimean Studies.” Vol. 27)

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CNN-Based End-To-End Language Identification

Recently, language identification (LID) on long utterances has archived very low error rate, however, it is still a challenging task under short-duration condition. In this paper, we propose an end-to-end short-duration language identification system based on deep convolutional neural network (DCNN), where the whole network is trained with multi-class cross-entroy loss. Besides, we compare three kinds of input features: Mel-Frequency Cepstral Coefficients (MFCC), log Mel-scale Filter Bank energies (FBANK) and spectrogram energies. The experimental results indicate that spectrogram energies achieves the best performance among them In order to enhance the robustness of system, at the training stage, the databases are augmented by applying time-scale modification (TSM) method. Based on APl 7-OLR databases, under 1-second condition, the proposed system has improved 32.7% than traditional i-vector system, and compared with other neural network systems, it peforms equally well and even better.
The effect of realia on descriptive text writing quality at the eighth grade students of SMPN 1 Bendo

This research is conducted to explain about the Effect of Realia on Descriptive Text Writing Quality at The Eight Grade Students of SMPN 1 Bendo. The sample of this research are 8-K consisted of 21 students in the eighth grade of SMPN 1 Bendo. The research approach that is used in this study is quantitative. The research was conducted by using experimental research. The data was collected by doing test. The technique of data analysis that is used in this research is paired sample T-test. The result of this research shows that Realia gives significant effect to the students’ writing quality in descriptive text. It can be seen that the significant value is 0.000. It shows that the probabilities value of students’ writing skill is lower than 0.05 (0.000&amp;lt;0.05) level of significant. So, the null hypothesis (H0) is rejected and the alternative hypothesis (Ha) is accepted. It can be stated that there is significant difference on the students’ descriptive text writing skill before being taught using Realia and after being taught using Realia. So, it can be concluded that Realia helps the students in the process of writing descriptive text and this media has positive effect on the students’ descriptive text writing quality.
Efficient Multi-Class Probabilistic SVMs on GPUs

Multi-class SVMs with the probabilistic output (MP-SVMs) are important techniques in pattern recognition. Two key challenges for efficient GPU accelerations for MP-SVM are: (i) many kernel values are repeatedly computed as a binary SVM classifier is trained iteratively, resulting in repeated accesses to the high latency GPU memory; (ii) performing training or estimating probability in parallel requires a much larger memory footprint than the GPU memory. To overcome the challenges, we propose GMP-SVM to reduce high latency memory accesses and memory consumption through batch processing, computation/data reusing and sharing. Experimental results show that our solution (available in https://github.com/Xtra-Computing/thundersvm) outperforms LibSVM by 100 times while retaining the same accuracy.
THE PERCEIVED INFLUENCE OF PART-TIME TEACHING ON STUDENTS’ PERFORMANCE IN MICRO-TEACHING CLASS

The main objective of this study was to examine the perceived influence of part-time teaching on students’ performance in Micro-Teaching class. A quantitative research approach using questionnaire was carried out to get the view of thirty students of 2014 intake year of Department of English Language Education, Faculty of Tarbiyah and Teacher Training, Universitas Islam Negeri (UIN) Ar-Raniry Banda Aceh. The findings indicated that students were helped by having part-time teaching through developing skills and confidence, reducing anxiety and fear, developing ability of managing classroom, increasing ability in selecting teaching goals and in preparation of lesson plans, proper worksheet, assessment tools, instructional media, and teaching methods. In addition, it supported them to improve their ability in asking questions and speaking in front of groups as well as to use time effectively. To conclude, part-time teaching has increased students’ skills in micro-teaching class.
Design and Synchronization of Large-scale Random Number Generators

This paper is concerned with the design of synchronized large-scale random number generators. First, we introduce some parameters into the chaotic Duffing map system to regulate and obtain richer chaotic state responses. Then according to the butterfly effect of chaos systems, we implement many adjustable Duffing map systems in the microcontroller and complete the design of large-scale random number generators. Next, a controller is proposed to complete the synchronization of the master-slave large-scale random number generators.
Cornerstones of Support for People with Dementia: Influence on Public Awareness in Rural Slovenian Region

Introduction: Awareness and knowledge of the effectiveness of four supporting cornerstones (SC) (i.e. people, place, network, resources) for people with dementia (PWD) in rural region have not yet been well analysed. The purpose of the research was to collect data about general population's dementia-related knowledge and about the support for PWD according to the SC.Methods: The research was done using a questionnaire evaluating dementia-related knowledge thereby comparing different groups of respondents, established on the basis of demographical parameters and, respectively, parameters, evaluating SC for PWD in the environment, as expressed by the respondents.For analysing statistically significant differences between groups, we used ANOVA, T-test and Spearman's correlation coefficient.Results: The test's average estimate of dementia-related knowledge was high (9,23 out of 12).The performed statistical analyses demonstrated no statistically significant differences in dementia-related knowledge among the compared groups, the only two exceptions being between respondents with different degrees of education and between the groups with different evaluations for levels of information support in their environment.While the first
Narrow-band source of polarization-entangled photons with counterpropagating domain engineering

Photonic entanglement is central resource to quantum information sciences, such as quantum communication and quantum computation. The entangled photons generated in conventional spontaneous parametric down-conversion usually yield THz bandwidth which becomes very dim in many applications call for narrow-band entanglement sources. Here we demonstrate the polarization-entanglement photon source with counterpropagating phase matching, which results in an inherent bandwidth of 7.1 GHz at telecom wavelength. The entanglement is measured to violate the Bell inequality by up to 18.5 standard deviations, with Clauser&ndash;Horne&ndash;Shimony&ndash;Holt S-parameter of 2.720&plusmn;0.039. The quantum state tomography further characterizes the entanglement, with fidelity F=(95.71&plusmn;0.61)%.
Female characters of the operas of M. Mussorgsky and N. Rimsky-Korsakov in the context of Orthodox anthropology

Purpose of the article. The article is devoted to the disclosure of the features of the embodiment of the leading female images in the operatic works of M. Mussorgsky and N. Rimsky-Korsakov, which are revealed in the context of Orthodox anthropology and are related to the problem embodiment of spiritual evolution and involution in Russian music of the second half of the XIX century. The methodology of the study is to apply comparative, historical-cultural, musical-semantic methods, intonation concept of music in the light of the theory of B. Asafiev and his followers. This methodological approach allows us to reveal and analyze the psychological qualities of the main opera heroines of the operas «Khovanshchina» and «Tsar's Bride», recorded in their vocal part in a comparative description. The scientific novelty of the research consists in revealing the spiritual path of the heroines of the operatic compositions of Russian composers in a comparative description of the moral choice of Marfa and Lyubasha in their evolutionary/involuntary movement, which was reflected in the vocal party of the vivid female characters of the Russian opera tradition of the second half of the XIX century. Conclusions. The specific character of the musical embodiment of this moral choice of opera heroines is revealed at the level of the characteristic of the harmonic, intonational-rhythmic side of the vocal parts of Marfa (Khovanshchina) and Lyubasha (Tsar's Bride).
Proposition of an Intelligent Multi-Agent System for Learning

In this paper, an intelligent Multi-Agent System (MAS) for learning, that we have called MASIL, is proposed. MASIL’s architecture is based on the hybrid client-server, multi-agent and Machine Learning model. After creating the different agents of the system and defining the different roles, we formed groups of agents according to our architecture to make our system more efficient. After this step, we had to find an operating mechanism to make MASIL as efficient as possible. To try to solve this problem we used the approach of the Operating System kernel and made some connections with the MASIL agents. To make MASIL smarter, we built machine learning models for certain of our agents. The evaluation of the system has shown that MASIL is being formed as lessons are being learned and is becoming increasingly intelligent