Reviewerly/exHarmony huggingface dataset:
PENINGKATAN KETERAMPILAN MENULIS TEKS BERITA DENGAN MODEL KOOPERATIF JIGSAW PADA SISWAKELAS VIII-B SMP NEGERI 1 PANCURBATU

The ability in writing news text is a competence that must be achieved in KD 4.2 that present information data in the form of oral and written news considering the structure, elements and language. The purpose of the study is to improve news text writing skills by using the cooperative jigsaw model for students in class VIII-B of Pancurbatu 1 Public Middle School. Research method used is Classroom Action Research (CAR). Based on the results of class action research that has been carried out in 2 cycles, it can be seen from the activities of students in the learning process that their achievement was increasing in each cycle. In the first cycle the completeness of the test is 42,3%. In cycle II it has increased, namely classical completeness as many as 84,61%. So, it can be concluded that the increase in classical completeness is 42.31%. Based on the results of class action research, using the two cycles with the cooperative jigsaw model, can improve news writing skills for students of class VIII-B of SMP Negeri 1 Pancurbatu Academic Year 2018/2019
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent

Gradient descent and its variants are widely used in machine learning. However, oracle access of gradient may not be available in many applications, limiting the direct use of gradient descent. This paper proposes a method of estimating gradient to perform gradient descent, that converges to a stationary point for general non-convex optimization problems. Beyond the first-order stationary properties, the second-order stationary properties are important in machine learning applications to achieve better performance. We show that the proposed model-free non-convex optimization algorithm returns an $\epsilon$-second-order stationary point with $\widetilde{O}(\frac{d^{2+\frac{\theta}{2}}}{\epsilon^{8+\theta}})$ queries of the function for any arbitrary $\theta>0$.
How Do Multicultural Family Mothers Perceive Child’s English Education?

The number of multicultural families has been increasing in Korea recently, and it is reported that students from multicultural family experience multiple struggles in English learning. With an awareness of mothers’ role in child’s education, this study aims to investigate multicultural family mothers’ perception of English education and the extent of those mothers’ involvement in their child’s English learning. For the purpose of this investigation, the present study collected survey data from 115 multicultural family mothers with varying national backgrounds, and interviews were conducted with 10 mothers. The results of this study reveal that the multicultural family mothers were well aware of the importance of English skills and knowledge with a belief in the practical value of English as a gatekeeper to materialistic, symbolic resources. However, the mothers were not that actively involved in child's English learning for several reasons, including their limited English proficiency and economic burden. Based on the findings, the present study offers practical suggestions for assisting multicultural family children’s English education and their social integration.
Analisis Tata Kelola Teknologi Informasi Untuk Meningkatkan Mutu Sumber Daya Manusia Menggunakan Framework COBIT 5 (Studi Kasus: Politeknik Pariwisata Negeri Lombok)

Information technology governance is an integrated part of the organization's management that governs leadership, the organization's organizational structure of the processes that govern information technology is used optimally. Human resources are currently not managed properly, which has not met the needs of IT human resources in Central Lombok. To solve this problem, the writer implements IT Governance using the COBIT 5 framework in the Lombok State Polytechnic. This study will provide recommendations for the improvement of IT problems in the Poltekpar Negeri Lombok and can be used as a reference, especially in managing IT human resources and can improve the performance of the Poltekpar Lombok using IT processes EDM02 and APO08. The results of this analysis are the level of ability of IT Governance that reflects the conditions of IT governance in the Poltekpar Negeri Lombok. With improvements to the capability level provided by the COBIT 5 framework, from levels 1 to 5 at the EDM02 capability level, IT processes are at level 3.
Application of Swarm-intelligent Methods to Optimize Error-tolerant Graph Matching for Automatic E-Assessment

Automatic e-assessment poses the challenge to design algorithms, which are capable of identifying patterns within a student’s submission to distinguish the correct and incorrect aspects of their solution. Error-tolerant graph matching techniques using graph edit distance metrics are one of the applicable methods. There, a reasonable identification rate is only achievable if we use a proper cost function for the edit operations. In this paper, we optimize the matching quality of an e-assessment system, which identifies design patterns within a UML class diagram as part of the automatic analysis of the student’s submission. For this purpose, we apply particle swarm optimization and fish school search to optimize the parameters of the cost function by comparing the matching results to the assessments of students and teachers. We further show the complexity of the resulting fitness function and justify the application of swarm intelligent heuristics for such application scenarios.
MDLDA: A New Multi-Dimension Topic Approach

Topic models have been prevalent because topics capture the hidden topics of documents and words are the reflection of topics appearing in documents. However, current topic models fail to provide explicit representation of the relationship between topics. We address this problem by proposing a new topic model, Multi-Dimension Latent Dirichlet Allocation (MDLDA). Our algorithm models the topics together with their mutual relationship. The model describes the relationship between topics as a mixture of words as topics in traditional topic models. The topics extracted by our model can better represent the documents in multiple classic tasks such as document classification. We conduct a case study to explain the model. Quantitative experiments on different datasets show improvements regarding modeling ability and performance in tasks as clustering and classification.
Model of distribution of pollutant substances in a multilayered medium with a periodic radiation source

Based on the equations of turbulent diffusion for convection-diffusion-decay processes, an algorithm has been developed for calculating the distribution of pollutants in a diffusion medium that are emitted by a time-periodic radiation source. The medium is a multilayer packet of layers with plane-parallel interfaces, the radiation source can be located either at the boundaries of the packet of layers or inside it. The solution is constructed in Fourier images using the symbols of the Green functions of boundary value problems for periodic sources. The inverse two-dimensional Fourier transform is calculated numerically. It is shown in the paper that the boundary value problem for a periodic source can be reduced to solving a slightly modified boundary value problem for stationary equations of turbulent diffusion. Methods for solving a stationary boundary value problem are developed in detail in previous works of the authors. It is noted that for a periodic source, in comparison with a stationary source, the computational volumes grow in proportion to the number of harmonics in the Fourier expansion of the periodic component of the source. An example of a numerical solution of the spatial boundary-value problem for a two-layer packet with an internal periodic radiation source is given. The example takes into account nine members of the Fourier series in the source statement. The developed numerical-analytical model has high accuracy and flexibility and can be used to simulate various periodic diffusion-convection-reaction processes, and to obtain various estimates in the field of ecology and environmental protection. The proposed method is effective for solving boundary value problems for semi-bounded multilayer media for which the traditionally used finite element and finite difference methods are not applicable.
CONVENTIONAL INDIRECTNESS STRATEGIES ON REQUEST USED BY MALE AND FEMALE SPEAKERS IN SPOKEN BRITISH NATIONAL CORPUS

&lt;p&gt;This study aims at analysing conventional indirectness strategies on request used by British English speakers as shown in spoken British National Corpus (BNC). Conventional indirect strategy is often rated as the most polite expression of politeness. In this case, male and female obviously have different strategies for making the request, which may be influenced by some factors. A qualitative approach was employed to conduct this study since the data are the utterances produced by male and female speakers in spoken BNC. The study revealed that there were 187 utterances that contain Conventional Indirectness Strategies on request used by male and female speakers in spoken BNC. Ability conditions was the strategy of conventional indirect request that mostly used by the male and female speakers. Then, the three factors (i.e. gender, age, and social class) have an effect and significant role on the speaker’s choice of strategies employed by British English speakers. As this study is focused on the indirect request strategies, thus it is suggested to the next researchers who are interested in the same study could be expected to conduct the indirect request strategies by adding more factors.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Research on Data-Driven Fault Diagnosis Technology of Cloud Test

A data-driven cloud test fault diagnosis method is proposed for the current testing system based on cloud computing, which has a low utilization rate of test data and fails to give full play to the operation and storage capacity of cloud computing. Firstly, the initial fuzzy reasoning fault diagnosis method is constructed based on expert knowledge and system parameters. Secondly, GSA is used to optimize the model based on historical data. Finally, the simulation platform is used for experimental verification. The results show that the system can effectively improve the utilization rate of cloud test data and achieve more accurate fault diagnosis.
Latent-Variable Generative Models for Data-Efficient Text Classification

Generative classifiers offer potential advantages over their discriminative counterparts, namely in the areas of data efficiency, robustness to data shift and adversarial examples, and zero-shot learning (Ng and Jordan,2002; Yogatama et al., 2017; Lewis and Fan,2019). In this paper, we improve generative text classifiers by introducing discrete latent variables into the generative story, and explore several graphical model configurations. We parameterize the distributions using standard neural architectures used in conditional language modeling and perform learning by directly maximizing the log marginal likelihood via gradient-based optimization, which avoids the need to do expectation-maximization. We empirically characterize the performance of our models on six text classification datasets. The choice of where to include the latent variable has a significant impact on performance, with the strongest results obtained when using the latent variable as an auxiliary conditioning variable in the generation of the textual input. This model consistently outperforms both the generative and discriminative classifiers in small-data settings. We analyze our model by using it for controlled generation, finding that the latent variable captures interpretable properties of the data, even with very small training sets.
Gaze Relations: A Critical Analysis of Human Gaze and Computer Vision

October 01 2019 Gaze Relations: A Critical Analysis of Human Gaze and Computer Vision Anthony Assi Anthony Assi Anthony Assi: tony.assi.arts@gmail.com, www.tonyassi.com/MFA-Thesis. Master's thesis, University of California, Santa Cruz, 2018. Search for other works by this author on: This Site Google Scholar Author and Article Information Anthony Assi Anthony Assi: tony.assi.arts@gmail.com, www.tonyassi.com/MFA-Thesis. Master's thesis, University of California, Santa Cruz, 2018. Online Issn: 1530-9282 Print Issn: 0024-094X ©2019 ISAST2019ISAST Leonardo (2019) 52 (5): 502. https://doi.org/10.1162/leon_a_01800 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Search Site Citation Anthony Assi; Gaze Relations: A Critical Analysis of Human Gaze and Computer Vision. Leonardo 2019; 52 (5): 502. doi: https://doi.org/10.1162/leon_a_01800 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsLeonardo Search Advanced Search This content is only available as a PDF. ©2019 ISAST2019ISAST Article PDF first page preview Close Modal Supplementary data Gaze vs Computer VisionVisualization of human gaze and computer vision. (© Anthony Assi 2018)- mp4 file Gaze-Computer Vision-Body DiagramPower relations between human gaze, computer vision, and the body. (© Anthony Assi 2018)- jpeg file Anthony AssiAnthony Assi in the “Gaze Relations” art installation. (© Anthony Assi 2018)- jpeg file You do not currently have access to this content.
The Student Loans Company issue warning to students to be on their guard against fraudsters

Fraudsters often target students with bogus emails and texts around the three loan installment periods in September, January and April each year.
PENGARUH MINAT DAN MOTIVASI TERHADAP PRESTASI BELAJAR SISWA-SISWI SDN BINTARA VII KOTA BEKASI

The goal of this research to see affect of interesting and motivation toward the students learning achievement at VII Bintara elementary school. Bekasi city. The research using description approach and quantitative method with correlation design. The result of this research show learning that both free variables learning interesting (X1) and learning motivation (X2) have a strong affect and significant toward the bound variables learning achievement (Y) , the learning interest variable (X1) have a positive and strong correlation toward the learning achievement variable. It means if the bigger variable score learning interesting (X1) will increase learning achievement (Y) it also toward learning motivation (X2) have a positive correlation to the learning achievement (Y) . The population in this research are 465 students at VII Bintara elementary school Bekasi city 25% x 465 = 116.25, elementary school students at VII Bintara make to become 116 students. Constanta is big as 13.477 said that if no score both variable above togetherness, so every (one) score X variables will increase learning achievement (Y) as big 1.257 times whereas add one score from X2 variable will increase learning achievement (Y) as big as -0.399 times. The answer from the respondents as much as 116 students with 24 questioners after counting used statistical product and service solution (SPSS) 16.0 said that if learning interesting (X1) and learning motivation (X2) togetherness will affect of learning achievement (Y) with regression coeffisien 1.257 X1 + coeffision 0.399 X2 so will be affect to the learning achievement (Y) as big as costanta 13.477. Seen that score F.460.009 &gt; F table (1.92), so Ho is accepted that it means both variables togetherness significant affect the variable toward learning achievement (Y). If faced to these problems and conclusion gotten we suggest the things as below : Needing emphazising to students at VII Bintara elementary school Bekasi city, in order to have learning interest and learning achievement wil be successful. Needing emphazising to all students at VII Bintara elementary school Bekasi city in order to increase the learning motivation so the learning achievement will be successful. Needing emphazising to students at VII Bintara elementary school Bekasi city in carrying out daily learning activity must refer to learning interest and motivation so the learning achievement will be reached.
A simple time-insensitive index of instability as a proxy for the “Africa dummy” variable – A Note

This paper calculates a simple time-insensitive index of instability using discrete series of events. The calculation of the index does not require complex statistical analysis of event series, discrete-event systems analysis, or categorical analysis. It uses a simple, single-equation regression to estimate the effects of instability on Africa’s per capita GDP over the 1961-2018 period. The results are mixed, with some showing that instability has constrained Africa’s performance and others implying it has helped. The findings are not quite econometrically pure, but reasonable given that many relevant variables are missing from the regression. Hence, I resist the temptation to comment further until at least conventional factors like capital are included in this regression, while I insist that the index itself is sound.
PUBLIC EXAMINATION OF THE IMPLEMENTATION OF EDUCATIONAL PROGRAMS: EXPERIENCE AND RESULTS

The article presents the methodology of sociological monitoring of the educational programs implementation, developed by a group of researchers of the Sociology Department of the Moscow State Linguistic University, and the results of the public examination of the program for the development of education in Moscow, based on this methodology. The assessment was based on system of indicators, which was developed mainly in view of of the key indicators of the «Capital Education» program for both the program as a whole and its individual parts (subprograms). According to the researchers, the method can be recommended in full or in part to conduct public examination of educational programs at various levels.
THE CORRELATION OF READING INTEREST TO LEARNING OUTCOMES IN INDONESIAN LEARNER IN CLASS 5 of SDN 2 KARANG TANJUNG

&lt;em&gt;Reading interest is main factor to increase quality of student. The study activities in the school, highly reading interest of student is a something hoped for all people. This study aimed to determine the correlation of reading interest to learning outcomes in Indonesian language. This research focused in a something impact of reading interest to learning outcomes. The method used is descriptive method with technic questionnaire, observation, and interview. Research sample were students of class 5 numbering 20 people. Students read well fall into the category with a percentage 78,86 % while the study result in the category fairly with the average value of 58,9. Based on the correlation test with significance level α = 5% concluded there is a correlation between reading interest by learning outcomes in learning Indonesian fifth grade students of State Elementary School 2 Karang Tanjung with r table ≥ r count or 0.444 ≥ 0.029.&lt;/em&gt;
2015 개정 교육과정에 따른 고등학교 과학 교과 탐구활동의 과학과 핵심역량 분석 - 생명과학 교과서를 중심으로 -

In this study, the science key competencies in the inquiry activities of high school life science textbooks were compared and analyzed according to area and publisher. 12 life science Ⅰ and Ⅱ textbooks developed based on the 2015 revised science national curriculum were collected and analysed. The more the number of inquiry activities included in the textbooks, the greater the number of key competencies reflected. Scientific thinking ability was the highest, and scientific inquiry ability, scientific communication ability, and scientific problem solving ability were reflected at almost similar rate. Scientific participation and lifelong learning ability was the least reflected in all areas of life science I and II subjects. Science key competencies differ from one publisher to another, and the number and type of key competencies applied are often different, even if they are similar. A clear frame of reference should be provided in the development of future curriculum. In order to ensure that the life sciences classes suitable for the purpose and purpose of the 2015 revised science national curriculum are carried out in the educational field, various teaching and learning models, methods, strategies, teaching materials will continue to be developed.
Small world. Bumped into @micropixie today in ...

Small world. Bumped into @micropixie today in the Mission. A reminder to support your local artists and musicians. Also do check out Dark
Checkpointing in Practice for Memory-Efficient Training on the Edge

Training deep neural networks has large memory requirements to store the activation maps for the forward pass of all layers to be able to compute the gradients during the backward pass. When training networks on the edge, large models may either not fit in the memory or may run with very small batch sizes. Checkpointing has been proposed as a solution, whereby during the forward pass the activation maps from only some of the layers are stored as checkpoints, and the rest are recomputed during the backward pass starting from the closest checkpoint. However, checkpointing in practice requires a careful choice of the set of layers to checkpoint. In this paper we empirically evaluate checkpointing for different networks. We then establish an analytical approach to estimate the memory requirement of each layer (using a linear regression model) in a network and thereby identify the layers which have to be checkpointed. Through this method we were able to reduce memory consumption of MobileNet and ResNet-18 architectures by a factor of 2.6 and 1.8 respectively. Finally, the networks are tested on a Raspberry Pi 3 Model B board. For MobileNet using our approach for checkpointing, we could increase the batch-size from 4 to 12.
Los usos de la tecnología digital e implicaciones para su escolarización en los estudiantes de secundaria en el Estado de Durango, México

It aims to describe the uses that high school students make of digital devices and its implications for their education in the subjects of science and technology (Graner, Beranuy, Sánchez, Chamarro, & Castellana, 2007
Proof Pearl: Purely Functional, Simple and Efficient Priority Search Trees and Applications to Prim and Dijkstra

The starting point of this paper is a new, purely functional, simple and efficient data structure combining a search tree and a priority queue, which we call a priority search tree. The salient feature of priority search trees is that they offer a decrease-key operation, something that is missing from other simple, purely functional priority queue implementations. As two applications of this data structure we verify purely functional, simple and efficient implementations of Prim's and Dijkstra's algorithms. This constitutes the first verification of an executable and even efficient version of Prim's algorithm.