Reviewerly/exHarmony huggingface dataset:
IMPROVING CHILDREN'S LANGUAGE SKILLS THROUGH THE MEDIA ILLUSTRATED STORY BOOK

Abstract Early childhood education has a large role in efforts to develop children's language skills. The problem that often occurs in language development at the level of early childhood education is that children are still experiencing difficulties in expressing language correctly. So it is necessary to have a strategy in managing and implementing appropriate learning media to be able to improve children's language activities. The purpose of this research is to find out the process of applying picture book media strategies as an effort to improve children's language skills. This research uses a descriptive method with a qualitative approach. Data collection techniques through interviews, observation and documentation study. Subjects in this study were 2 teachers, and students aged 4-5 years as many as 20 children in Kober Ya Ibna, Cibabat Sub-District, Cimahi Utara District, Cimahi City. The results showed that; (1) strategies in improving children's language skills through the media picture books begin with the planning stage, (2) the implementation of the effectiveness of language learning activities through the picture book media can improve children's ability in language, (3) the difficulties encountered in the learning process includes the limitations of story books and other infrastructure that can be handled well so that they don't interfere with the learning process. Media illustrated story books through the method of storytelling conducted by the teacher has an important role in improving language skills in children. Because of the importance of this learning strategy, it is essential to sustainable development and develop it. Keywords : Early childhood; Language skill; The media of picture books
Comparação de Metodologias de Migração de Bancos de Dados Relacionais para Bancos Orientados a Documentos

Companies have migrated data from relational databases to NoSQLdatabases to improve their business through more active services ata lower operating cost, especially by the adoption of cloud services.This process is called Data Migration and is considered by someauthors one of the biggest challenges in systems engineering today.Although it is advantageous, the process of migrating data fromthe relational model to NoSQL models is not trivial and has led tothe development of different methodologies for this purpose. Theobjective of this work was to analyze and compare three differentmigration methodologies between Relational and NoSQL DocumentOriented databases under the following aspects: algorithminput, method documentation, migration process and generateddocuments. For that, different relational models were empiricallymigrated using such methodologies, allowing the analysis of theevaluated aspects. The results show that there is no consolidatedway to perform the migration and that the method to be chosendepends on the context of the application. So, scenarios that showwhen to use each method are presented. Although not performingcomputational tests, this work provides suggestions and insightsthrough the evaluation of the migration processes under the theoreticalmodels. It expected that the results presented here will helpIT managers decide on the best data model migration methodologyto follow in their actual projects.
Modeling the pedagogical support of self-development of adolescents in additional education based on a reflective-value approach

Changes in the social and educational situation in the country actualized the development of subject-oriented models of pedagogical support for students, the search for effective ways to solve the aggravated problem of creating conditions for students' self-development. In modern school curricula, as well as in the system of additional education, there are practically no special classes on the construction and implementation of self-development projects by adolescents. The article proposes a model of pedagogical support for the self-development of adolescents in additional education, methodologically based on a reflective-value approach developed in the framework of the scientific school of M.I. Rozhkov, and technology-based on the development by adolescents of individual routes of self-development. The presented model can be considered as a pedagogical product and an educational resource that allows to solve a whole range of problems, based on the personal and social needs of both adolescents themselves and society as a whole. The implementation of the presented model involves the alignment of the educational process in further education with a focus on the self-development of students, while support is considered as a process of pedagogical interaction between teachers and students.&#x0D; Acknowledgments: The reported study was funded by RFBR, project number 20-013-00616.
Deep-learning-enabled fringe projection profilometry

We introduce our recent work in deep-learning-based fringe projection profilometry (FPP), including phase retrieval, phase unwrapping, geometric constraint, color fringe demultiplexing, and high-dynamic-range imaging.
Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis

Proriasis is a type of chronic disease of the human skin.problem of psoriasis At the end of the day, theis becoming more interesting because the main cause of this disease has not been found, which has only been found while the cause of psoriasis is genetics. Because the cause is not known for sure, this disease is difficult to cure. Although this disease is not contagious and life-threatening to sufferers, it can damage internal organs if not handled properly. This study aims to determine the level of accuracy in identifying psoriasis in humans. There are several types of symptoms that refer to psoriasis. Furthermore, the data is processed manually with themethod Case Based Reasoning and continued by using a-based expert system software website. The processing stage is to use theprocess, which retrieve is a process of finding the similarities between new cases and existing cases in the knowledge base. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 12 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of psoriasis in humans. Expert testing system has been able to identify thedisease psoriasis specific. Through thismethod Case Based Reasoning , the level of accuracy that can be obtained is quite accurate and can help skin and genital specialists in improving accuracy in identifyingdiseases Case Based Reasoning in humans.
Onset and termination of sustained pulsation in an excitable microlaser with optical feedback

We employ numerical continuation to determine the critical feedback strength of an excitable microlaser, described by the Yamada model, that allows for sustained pul-sation in the presence of optical feedback from an external reflecting mirror.
Automating the Authority Control Process

This presentation introduces ideas on how to handle authority control using a variety of tools, both paid and free. The presenter describes how their library handles authority control, describe vendors and programs, and demonstrate a few automated authority control processes using MarcEdit, Sierra, OCLC and a few other programs.
Analysis of microseismicity in the Hengill Geothermal Area, SW Iceland

&amp;lt;p&amp;gt;Geothermal systems in the vicinity of the Hengill volcano, SW Iceland, started to be exploited for electrical power and heat production since the late 1960s, and today the two largest operating geothermal power plants are located at the Nesjavellir and the Hellisheidi. This area is a complex tectonic and geothermal site, being located at the triple junction between the Reykjanes Peninsula (RP), the Western Volcanic Zone (WVZ), and the South Iceland Seismic Zone (SISZ). The region is seismically highly active with several thousand earthquakes located yearly. The origin of such earthquakes may be either natural or anthropogenic. The analysis of microseismicity can provide useful information on natural active processes in tectonic, geothermal and volcanic environments as well as on physical mechanisms governing induced events. Here, we investigate the microseismicity occurring in Hengill area to understand physical source mechanisms and the origin of these microseismic events. We use a very dense broadband monitoring network deployed since November 2018 with support of the GEOTHERMICA project COSEISMIQ and apply robust and full-waveform based methods for earthquake location, clustering analysis and source mechanism determination. Our dataset consists of about 637 events with M&amp;lt;sub&amp;gt;L&amp;lt;/sub&amp;gt; ranging between 0.8 and 4.7 from December 2018 to January 2019. We use this rich and large dataset for testing a workflow for automated processing. Earthquake location and clustering analysis show that seismicity is spatially clustered, with shallower events at the center of geothermal site in proximity to geothermal plants, and deeper earthquakes in the southern part of the study area. Most of our moment tensors can suggest the influence of geothermal activity and geothermal energy exploitation operations on the subsurface. This work is supported by the COSEISMIQ project of the EU GEOTHERMICA program .&amp;lt;/p&amp;gt;
Collective atomic correlations in absorptive optical bistability without adiabatic elimination: Exemplifying nonclassicality from a linearized treatment of fluctuations

We determine the incoherent spectrum, squeezing properties, and second-order correlation function of the collective atomic degrees of freedom in absorptive optical bistability. This is accomplished via a linearized Fokker-Planck equation in the positive $P$ representation, guided by the analysis of H. J. Carmichael [Phys. Rev. A 33, 3262 (1986)] which does not resort to adiabatic elimination. We focus on the regimes of weak and strong intracavity excitation, addressing the good-cavity and bad-cavity limits as well as the limit of collective strong coupling. Adiabatic elimination of the intracavity field sustained by an auxiliary resonator coupled to the ensemble is used to probe the atomic correlations via the formation of a collective emission channel. We compare to the corresponding expressions for the forward-scattered light with reference to experimental results, discussing key differences between the lower and upper branch of the steady-state semiclassical bistability curve. Our analysis is carried out around the stable states situated far away from the turning points, where analytical expressions can be obtained self-consistently, demonstrating a clear departure from classical behavior.
A coding perspective on deep latent variable models

In my thesis Coding Perspective on Deep Latent Variable Models, we discuss how statistical inference in Deep Latent Variable Models (DLVMs) relates to coding. In particular, we examine the minimum deception length (MDL) principle as a guide for statistical inference. In this context, we explore its relation to Bayesian inference. We shall see that despite both leading to similar algorithms, the MDL principle allows us to make no assumption about the data generating process. We merely restrict ourselves to finding regularity in the observed data, where regularity is connected to the ability to compress. We thus find that learning DLVMs is equivalent to minimizing the cost for communicating (compressing) a set of observations. One common approach to communication is to send a hypothesis (or model), and subsequently the data misfit under the aforementioned model. This is known as the two-part code. In this thesis, we will mainly focus on the so-called Bayesian code -- a theoretically more effective code than the two-part code. Somewhat counter-intuitively, the Bayesian inference method will allow us to compute the code length without knowing the code nor the coding scheme that achieved this code length. The purpose of this thesis is to close this gap by developing respective coding schemes. We will, inspired and guided by the MDL principle, look for the codes that achieve the code length predicted by MDL. A special focus lies on differentiable functions, and more precisely, deep neural networks, learned by way of large quantities of high dimensional data. We will investigate model compression as well as source compression through the lens of the MDL principle.
Simultaneous measurement of two parameters of the spherical lens by low-coherence interferometry

To measure different parameters of a spherical lens simultaneously, a method by low-coherence interferometry with a low temporal coherent light source is proposed. This proposed method can obtain both the radius of curvature and the central thickness of a spherical lens in a single optical system. Owing to the property of low temporal coherence, the contrast of interference fringe pattern, hologram, varies with the optical path difference of an object beam and a reference beam. This enables the central thickness of the test lens to acquire with a Michelson interferometer. Simultaneously, the spherical shape of the test lens, namely the radius of curvature, can be obtained from a hologram which contains information of the wavefront curvature from the reflected beam of the spherical surface of the test lens.
Spatial Vulnerability Analysis of Marine Water Resources Pollution in Urban Socio-Economic Context

Cao, J.N., 2020. Spatial vulnerability analysis of marine water resources pollution in urban socioeconomic context. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 67–71. Coconut Creek (Florida), ISSN 0749-0208.In view of the low accuracy and long time consuming of traditional methods for analyzing the spatial vulnerability of marine water resources, this paper proposes an analysis method for the spatial vulnerability of marine water resources under the socio-economic background of city. According to the selection principle of evaluation index of marine water resources pollution spatial vulnerability, the evaluation index of marine water resources pollution spatial vulnerability is determined; the evaluation index system of marine water resources pollution spatial vulnerability is established; the normalized processing method is used to process the data in the above-mentioned evaluation index system of marine water pollution spatial vulnerability, and entropy difference calculation is introduced. On this basis, the Bayesian network method is used to construct the spatial vulnerability assessment model of marine water resources pollution, and the spatial vulnerability characteristics of marine water resources pollution under the urban socio-economic background are analyzed. The experimental results show that the accuracy of extracting the spatial vulnerability index of marine water resources pollution is the highest, which is about 98%, and the evaluation time is about 2 s.
An Analysis of Contribution of Universities of Madhya Pradesh in ShodhGanga

The present paper aims to provide the status of contributions made by the universities of Madhya Pradesh to the open access repository Shodhganga. According to University Grants Commission website, there are total 907 Universities in India as on 31 March, 2019. Out of the 907 Universities, 470 Universities from 30 states have signed MoU with INFLIBNET to contribute their theses in Shodhganga. However as on 17 July 2019 only 397 universities were contributing in Shodhganga. Out of 59 Universities in Madhya Pradesh, 29 universities have signed MoU with Shodhganga for contributing their ETDs in the Shodhganga. However, only 20 of the 29 universities have contributed their ETDs in Shodhganga. The highest number of 1847(37.23%) theses has been contributed by Doctor Harisingh Gour Vishwavidyalaya, Sagar among universities of Madhya Pradesh.
일-가정 갈등과 가정-일 갈등이 조직효과성에 미치는 영향 : 정서적 소진의 매개효과

The purpose of this study was to analyze whether work-family conflicts and family-work conflicts are related to job satisfaction, organizational commitment, and turnover intention, and to examine the mediating effect of emotional exhaustion in these relationships. From the analysis, the followings were derived. First, it was derived that work-family conflicts and family-work conflicts had a negative effect on job satisfaction and organizational commitment, and a positive effect on turnover intention. Second, emotional exhaustion had a mediating effect when work-family conflicts and family-work conflicts affected job satisfaction, organizational commitment, and turnover intention. Finally, it was derived that work-family conflict, family-work conflict and emotional exhaustion affect not only individual life but also organizational productivity. Therefore, it is necessary to overcome conflict factorsand lower emotional exhaustion through various forms of support from bothorganizations and families. It order to expand the theoretical scope of thestudy, further studies should be conducted, considering the various variablesaffecting the measured variables, and with subdivided subjects.
ANALYSIS OF SOCIAL RELATIONSHIPS ON TWITTER DATA FOR ONLINE ANALYTICAL PROCESSING

Social media platforms, for instance as twitter has become increasingly popular as an emerging platform for messaging and communication. On the other side, online meticulous dealing with multidimensional sorted out data. The purpose of using Hierarchical topic modeling i.e., THLDA to mine the dimension hierarchy of tweets. It can be applied for text OLAP on the tweets. And it uses word2vec to analyze the semantic relationships of words in tweets to obtain more effective dimensions. To improve the model effectiveness the bicliques to calculate the semantic impact of the topic of two tweets. Focusing on how the social impact factors and word semantic similarity influence the experimental results separately. In this we are considering how social relationships impact on the hierarchical topic model. In social relationships we are focusing direct and indirect relationships to follow the unrelated tweeters. We conduct extensive experiments on real twitter data to evaluate to effectiveness of THLDA. We are using hash tags to improve the models.
Relationship between Innovation and Performance among Palestinians Firms

This paper explores the relationship between the performance and innovation in Palestinian firms. The main goal was to see the impacts of knowledge creation or investment in shaping innovation at different business components such as product, process, organizational and marketing innovations. This research article used A sample of 110 managers from different Palestinian firms, a self-administered questionnaire was used to get the accurate results. The results showed items in the organizational constructs have positive and strong correlation with each other between r = .463 and r = .654. Organizational constructs also showed positive and strong correlation with marketing construct while weak and negative correlation with product and process construct. However, the findings indicated a stronger correlation existed for manufacturing and services firms between innovation and business performance, the study concluded that both the knowledge creation and investment contribute vitally in shaping the innovation and relationship between innovation and performance of the Palestinian firms.
Hero: A Fighting Mobile Game with Environmental Protection Theme

Industrialization and urbanization along with the economic development have led to increase in energy consumption and waste discharges. Pollution is continuously threatening human survival. Everyone is responsible for protecting the environment. In order to increase the attention of teenagers on environmental protection, we design and develop a fighting mobile game with environmental protection theme. The purpose is to let teenagers feel the importance of environmental protection, and learn some practical knowledge.
GPRC Learning Commons: Reading Critically and Evaluating Sources: Home

Learn how to critically read and evaluate the sources you would like to use in your research.
Characteristics of Low-Achievers in Computer-based Mathematics Assessment: Evidence from PISA 2018

Currently, the number of low-achievers in mathematics is constantly increasing. PISA results manifest this tendency, and it is noticeable that the proportion of low-achievers in mathematics has been growing sharply since the introduction of PISA 2015, which adopts computer-based test. In an attempt to figure out the reasons of this phenomenon, this study compares the characteristics of low-achievers and high-achievers on PISA 2018 results, supplemented by PISA 2015 results. The analysis shows that the two groups distinguish from each other in the areas of response time, the number of action, and the time to the first action. In the end, this study suggests some teaching implications for the changes caused by computer- based test environment.
Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit

In this paper, we propose a filter pruning method, namely, Filter Pruning via Gradient Support Pursuit (FPGraSP), which can accelerate and compress very deep Convolutional Neural Networks effectively in an iterative way. Previous work reports that Gradient Support Pursuit (GraSP) is well employed for sparsity-constrained optimization in Machine Learning. We seek to develop a modification that GraSP can be applied to structured pruning in deep CNNs. Specifically, we select the filters with the maximum gradient values and merge their indices with the indices of the filters with the largest weights. We then update parameters over the above union. Finally, we utilize filter selection in a dynamic way to get the filters with the largest magnitude. Different from some previous methods which remove filters of smaller weights but neglect the influence of gradients, we exploit gradient information. Our experimental results on MNIST, CIFAR-10 and CIFAR-100 clearly demonstrate the efficiency of our FPGraSP algorithm. As an example, for pruning ResNet-56 on CIFAR-10, our FPGraSP without fine-tuning obtains 0.04\(\%\) accuracy drop, achieving 52.63\(\%\) FLOPs reduction.
A Discussion Game for the Credulous Decision Problem of Abstract Dialectical Frameworks under Preferred Semantics

Abstract dialectical frameworks (ADFs) have been introduced as a general formalism for modeling and evaluating argumentation. However, the role of discussion in reasoning in ADFs has not been clarified well so far. The current work presents a discussion game, as a proof method, to answer credulous decision problems of ADFs under preferred semantics. The game can be the basis for an algorithm that can be used not only for answering the decision problem but also for human-machine interaction.
WALDEN AND ENVIRONMENTAL AESTHETICS: THOREAUS ECO-SPIRITUAL SOJOURN TO THE WILDERNESS

This paper attempts to analyze the life and works of Henry David Thoreau in vivid detail and explores how his Walden offers us a framework to establish eco-criticism as a genre of critical theory. Thoreau continues to be environmentally resonant because his detailed study and careful description of nature, his sympathy for non-human creatures, and his perception of the interrelatedness of all living things invigorated a tradition of ecological awareness in the history of American intellectualism. Thoreau chose Walden as a metaphoric experimentation for promoting a harmonious living with nature and his book as well as his life is a message to reconnect with nature. For Thoreau the most practical view of life is the most spiritual. But his yogic renunciation and excessive love for nature has its roots in Indian eco-spiritual philosophies. The paper also argues that Indian eco-spiritualism had a deep impact on Thoreaus experiments with wilderness.