49 research outputs found

    Pengaruh Pengunaan Media Manik-manik dalam Tatanan Pendekatan Matematika Realistik terhadap Hasil Belajar Matematika Siswa Kelas II Sdn 034 Tarai Bangun Kecamatan Tambang Kabupaten Kampar

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    Mathematics learning proses which was done by teachers in grade II SDN 034 Tarai Bangundid not use interesting methods that made students pasif because the teacher just explainedtheory without inviting students to find the mathematics concepts and real activity. Thisresearch aims to know whether using beads media on Realistic Mathematics Educationapproach can improve students' mathematics learning outcomes at II.A of SDN 034 TaraiBangun in 2013/2014 with 26 students. From data analysis of pretest and posttest, thelearning outcomes increased from both classes (experiment and control). In experiment classaverage pretest score increased from 60,95 to 75,42 with improvement percentage 23%.Meanwhile in control class average pretest score increased 55,16 to 58,06 with improvementpercentage 5%. From the explanation above it shows that using beads media on RealisticMathematics Education approach can improve students' mathematics learning outcomes atII.A of SDN 034 Tarai Bangun. T-test is used to know whether or not significantly differentbetween both classes with t-test and 60 degree of freedom. t count was bigger than absolute t tablethen Ho was rejected, or H1 was accepted. As a conclusion there is a significantly different ofstudents' outcomes between experiement and control class

    Fewer non-native insects in freshwater than in terrestrial habitats across continents

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    Aim: Biological invasions are a major threat to biodiversity in aquatic and terrestrial habitats. Insects represent an important group of species in freshwater and terrestrial habitats, and they constitute a large proportion of non-native species. However, while many non-native insects are known from terrestrial ecosystems, they appear to be less represented in freshwater habitats. Comparisons between freshwater and terrestrial habitats of invader richness relative to native species richness are scarce, which hinders syntheses of invasion processes. Here, we used data from three regions on different continents to determine whether non-native insects are indeed under-represented in freshwater compared with terrestrial assemblages. Location: Europe, North America, New Zealand. Methods: We compiled a comprehensive inventory of native and non-native insect species established in freshwater and terrestrial habitats of the three study regions. We then contrasted the richness of non-native and native species among freshwater and terrestrial insects for all insect orders in each region. Using binomial regression, we analysed the proportions of non-native species in freshwater and terrestrial habitats. Marine insect species were excluded from our analysis, and insects in low-salinity brackish water were considered as freshwater insects. Results: In most insect orders living in freshwater, non-native species were under-represented, while they were over-represented in a number of terrestrial orders. This pattern occurred in purely aquatic orders and in orders with both freshwater and terrestrial species. Overall, the proportion of non-native species was significantly lower in freshwater than in terrestrial species. Main conclusions: Despite the numerical and ecological importance of insects among all non-native species, non-native insect species are surprisingly rare in freshwater habitats. This is consistent across the three investigated regions. We review hypotheses concerning species traits and invasion pathways that are most likely to explain these patterns. Our findings contribute to a growing appreciation of drivers and impacts of biological invasions

    Massively parallel simulations for disordered systems

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    Simulations of systems with quenched disorder are extremely demanding, suffering from the combined effect of slow relaxation and the need of performing the disorder average. As a consequence, new algorithms, improved implementations, and alternative and even purpose-built hardware are often instrumental for conducting meaningful studies of such systems. The ensuing demands regarding hardware availability and code complexity are substantial and sometimes prohibitive. We demonstrate how with a moderate coding effort leaving the overall structure of the simulation code unaltered as compared to a CPU implementation, very significant speed-ups can be achieved from a parallel code on GPU by mainly exploiting the trivial parallelism of the disorder samples and the near-trivial parallelism of the parallel tempering replicas. A combination of this massively parallel implementation with a careful choice of the temperature protocol for parallel tempering as well as efficient cluster updates allows us to equilibrate comparatively large systems with moderate computational resources.Comment: accepted for publication in EPJB, Topical issue - Recent advances in the theory of disordered system

    Probability Theory in Statistical Physics, Percolation, and Other Random Topics: The Work of C. Newman

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    In the introduction to this volume, we discuss some of the highlights of the research career of Chuck Newman. This introduction is divided into two main sections, the first covering Chuck's work in statistical mechanics and the second his work in percolation theory, continuum scaling limits, and related topics.Comment: 38 pages (including many references), introduction to Festschrift in honor of C.M. Newma

    Network Sanity Checks Through Graphs

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    This paper focuses on the approach we adopted to tackle a specific company need. Since one of our main core businesses is selling bandwidth of our fiber optics network, it is essential for us to monitor the network status of the bandwidth and its topology. The currently used internal tool is limited to check the bandwidth of a single node and we run the risk to discover band or topology related issues when it is too late: when an operator makes a specific band request. This is the reason why we developed and implemented an algorithm to perform a series of sanity checks over the whole network. Our internal tool has been extended and integrated with this new algorithm. We discuss our problem, the solution and its final implementation integrated inside our novel web application tool

    Exploit Company Knowledge from Graphs with Banda Calculus

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    Abstract—This paper focuses on our novel web application aimed to tackle a specific company need. Essentially, we need to verify whether the available bandwidth between any node over the Lepida ScpA Regional fiber optics network corresponds to active contractual obligations signed by local network operators. This is the key factor that must be quickly addressed in order to provide a high quality service. Before the introduction of our tool, this process has been carried out manually and it was highly time consuming. This tool is grounded on a previous work in which we developed the basic techniques that crystallized in a first prototype implementation. Here instead, we discuss our production application which significantly reduced the time required to calculate the available band and adopted an improved algorithm capable of dealing with complex topological scenarios which could not be address by the previous approach

    MANBo Project: Visually Dissecting the Bologna Metropolitan Area Network through Graphs

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    Abstract—The work discussed in this paper stems from a particular need that recently arise in our company. In order to better exploit the fiber optics network in terms of resource allocation in the Bologna city Metropolitan Area Network, a new tool is required. The aim of this tool is to visualize and understand the municipality fiber optics allocation in order to take informed decisions about how and where to use them and/or to eventually plan infrastructure updates when no resources are left or are not sufficient. We describe the design and implementation of the very first prototype of our tool aiming to tackle this need

    Secure Peer Sampling

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    Gossiping has been identified as a useful building block for the development of large-scale, decentralized collaborative systems. With gossiping, individual nodes periodically interact with random partners, exchanging information about their local state; yet, they may globally provide several useful services, such as information diffusion, topology management, monitoring, load-balancing, etc. One fundamental building block for developing gossip protocols is peer sampling, which provides nodes with the ability to sample the entire population of nodes in order to randomly select a gossip partner. In existing implementations, however, one fundamental aspect is neglected: security. Byzantine nodes may subvert the peer sampling service and bias the random selection process, for example, by increasing the probability that a fellow malicious node is selected instead of a random one. The contribution of this paper is an extension to existing peer sampling protocols with a detection mechanism that identifies and blacklists nodes that are suspected of behaving maliciously. An extensive experimental evaluation shows that our extension is efficient in dealing with a large number of malicious nodes. © 2010 Elsevier B.V. All rights reserved

    Monitoring People Moving during Covid-19 Pandemic in the Emilia-Romagna Region

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    Abstract—This paper is about monitoring people movements in Emilia-Romagna : the region of Italy in which our company, Lepida ScpA, is located. The unfortunate event of the 2020 pandemic triggered by the Covid-19 virus gave us the chance to exploit our BIGDATA infrastructure to provide information to the regional Public Administration (PA) in order to take strategic decisions to face the emergency. This goal actually corresponds to the aim with which we started last year to design and implement our infrastructure. Our monitoring project is grounded on our regional WiFi infrastructure. This WiFi access is provided for free to anyone and it is available in all major cities and municipalities over Emilia-Romagna. We describe the challenges we faced and the choices we made during the process and the final results we achieved
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