Miracle-dz/UniFAR-FTUs huggingface dataset:
An E-Learning System Architecture Based on New Business Paradigm Using Cloud Computing

Cloud computing is becoming an adoptable technology f r many of the organizations with its dynamic scalability and usage of virtualized resources as a service through the Internet. Cloud computing and its applications in almost any area, including education. Now a day, e-learning is also becoming very popular and power ful t end, which is also broad. E-learning systems usually req uir many hardware and software resources. This pap er presents the benefits of using cloud computing for e-learnin g. There are many educational institutions that can not afford these investments, and the cloud computing is the b est solution, especially in the universities where th use of computers are more intensive and what can be done t o i crease the benefits of common applications for students and teachers. In this paper we can introduce the charac teristics of the current e-Learning and then analys is of the concept of cloud computing and describes the architecture o f cloud computing platform by combining the feature s of the elearning. And the authors have tried to introduce t he cloud computing to e-learning, and it is buildin g an e-learning cloud, and make it as active research and explorati on of the architecture, and it has the construction method and, external interface within the business model, and t he challenges and solutions etc. In our results can be suggested that the introduction of cloud computing into e-lea rning is feasible and it can greatly improve the ef ficiency of investment and power of the management, which can m ke it the e-learning system will be developed into the virtuous circle and it can be achieve the win-win s ituation for suppliers and customers.
Incremental Elasticity for NoSQL Data Stores

Service elasticity, the ability to rapidly expand or shrink service processing capacity on demand, has become a first-class property in the domain of infrastructure services. Scalable NoSQL data stores are the de-facto choice of applications aiming for scalable, highly available data persistence. The elasticity of such data stores is still challenging, due to the complexity and performance impact of moving large amounts of data over the network to take advantage of new resources (servers). In this paper we propose incremental elasticity, a new mechanism that progressively increases processing capacity in a fine-grain manner during an elasticity action by making sub-sections of the transferred data available for access on the new server, prior to completing the full transfer. In addition, by scheduling data transfers during an elasticity action in sequence (rather than as simultaneous transfers) between each pre-existing server involved and the new server, incremental elasticity leads to smoother elasticity actions, reducing their overall impact on performance.
The Starfire SMP Interconnect

The Starfire Ultra Enterprise 10000 extends the envelope of UNIX SMP systems in several dimensions. Interconnect: It uses four address routers and a 16x16 data crossbar to provide 64 UltraSPARC processors with uniform-memory access at a bandwidth of 10,667 MBps. Flexibility: Starfire can be dynamically reconfigured into multiple hardware-protected operating system domains. Robustness: specially-connected workstation orchestrates service activities. Failing boards can be hot-swapped without interrupting system operation. ECC is carried on both address and data paths. Performance: Starfire has set several TPC-D decision- support benchmark records. It delivers a respectable 21 Gflops on Linpack-parallel.
Comprehensive, comprehensible, distributed and intelligent databases: current status

MOTIVATION It is only a matter of time until a user will see not many but one integrated database of information for molecular biology. Is this true? Is it a good thing? Why will it happen? Where are we now? What developments are fostering and what developments are impeding progress towards this end? SUPPLEMENTARY INFORMATION A list of WWW resources devoted to database issues in molecular biology is available at http://www.mips.biochem.mpg.de CONTACT frishman@mips.biochem.mpg.de
A Dynamic Incentive-Based Argument for Conditional Transfers

We compare the long-run effects of replacing unconditional transfers to the poor by transfers conditional on the education of children. Unlike Mirrlees' income taxation model, the distribution of skill evolves endogenously. Human capital accumulation follows the Freeman-Ljungqvist-Mookherjee-Ray OLG model with missing capital markets and dynastic bequest motives. Conditional transfers (funded by taxes on earnings of the skilled) are shown to induce higher long-run output per capita and (both utilitarian and Rawlsian) welfare, owing to their superior effect on skill accumulation incentives. The result is established both with two skill levels, and a continuum of occupations. Copyright © 2008 The Economic Society of Australia.
Stratospheric Ozone Trends and Variability as Seen by SCIAMACHY from 2002 to 2012

Abstract. Vertical profiles of the rate of linear change (trend) in the altitude range 15–50 km are determined from decadal O3 time series obtained from SCIAMACHY1/ENVISAT2 measurements in limb-viewing geometry. The trends are calculated by using a multivariate linear regression. Seasonal variations, the quasi-biennial oscillation, signatures of the solar cycle and the El Nino–Southern Oscillation are accounted for in the regression. The time range of trend calculation is August 2002–April 2012. A focus for analysis are the zonal bands of 20° N–20° S (tropics), 60–50° N, and 50–60° S (midlatitudes). In the tropics, positive trends of up to 5% per decade between 20 and 30 km and negative trends of up to 10% per decade between 30 and 38 km are identified. Positive O3 trends of around 5% per decade are found in the upper stratosphere in the tropics and at midlatitudes. Comparisons between SCIAMACHY and EOS MLS3 show reasonable agreement both in the tropics and at midlatitudes for most altitudes. In the tropics, measurements from OSIRIS4/Odin and SHADOZ5 are also analysed. These yield rates of linear change of O3 similar to those from SCIAMACHY. However, the trends from SCIAMACHY near 34 km in the tropics are larger than MLS and OSIRIS by a factor of around two. 1 SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY 2 European environmental research satellite 3 Earth Observing System (EOS) Microwave Limb Sounder (MLS) 4 Optical Spectrograph and InfraRed Imager System 5 Southern Hemisphere ADditional OZonesondes
Kernelization via Sampling with Applications to Dynamic Graph Streams

In this paper we present a simple but powerful subgraph sampling primitive that is applicable in a variety of computational models including dynamic graph streams (where the input graph is defined by a sequence of edge/hyperedge insertions and deletions) and distributed systems such as MapReduce. In the case of dynamic graph streams, we use this primitive to prove the following results: * Matching: Our main result for matchings is that there exists an O~(k2) space algorithm that returns the edges of a maximum matching on the assumption the cardinality is at most k. The best previous algorithm used O~(kn) space where n is the number of vertices in the graph and we prove our result is optimal up to logarithmic factors. Our algorithm has O~(1) update time. We also show that there exists an O~(n2/α3) space algorithm that returns an α-approximation for matchings of arbitrary size. In independent work, Assadi et al. (arXiv 2015) proved this is optimal and provided an alternative algorithm. We generalize our exact and approximate algorithms to weighted matching. While there has been a substantial amount of work on approximate matching in insert-only graph streams, these are the first non-trivial results in the dynamic setting. * Vertex Cover and Hitting Set: There exists an O~(kd) space algorithm that solves the minimum hitting set problem where d is the cardinality of the input sets and k is an upper bound on the size of the minimum hitting set. We prove this is optimal up to logarithmic factors. Our algorithm has O~(1) update time. The case d=2 corresponds to minimum vertex cover. Finally, we consider a larger family of parameterized problems (including b-matching, disjoint paths, vertex coloring among others) for which our subgraph sampling primitive yields fast, small-space dynamic graph stream algorithms. We then show lower bounds for natural problems outside this family.
Clinical Evaluation of COBAS TaqMan PCR for the Detection of Mycobacterium tuberculosis and M. avium Complex

A retrospective observational study was performed to determine the sensitivity and limitation of PCR test for the detection of Mycobacterium tuberculosis and M. avium complex. We obtained clinical specimens collected from the respiratory tract, cultured M. tuberculosis or M. avium complex, and performed PCR analysis. A total of 299 samples (M. tuberculosis, 177; M. avium, 35; M. intracellulare, 87) were analyzed by COBAS TaqMan PCR from April 2007 to March 2011. The PCR positivity rates were 50–55%, 70–100%, 88–98%, and 100% in smear-negative, smear 1+, 2+, and 3+ groups, respectively. The PCR positivity of tuberculosis in smear 1+ was 80.6%, which was statistically significantly (P < 0.001) lower than that of smear 2+ (97.3%). From January 2005 to March 2007, we collected an additional 138 samples (M. tuberculosis, 74; M. avium, 21; M. intracellulare, 43), which were analyzed by COBAS Amplicor PCR. The PCR positivity rates obtained using COBAS TaqMan PCR and COBAS Amplicor PCR were not significantly different. The sensitivity of PCR test for mycobacteria is not sufficient in case of smear 1+. Careful consideration must be given to the interpretation of negative PCR test results in smear 1+, because smear-positive tuberculosis is the criterion for isolation.
Does Communal Context Bring the Worst in Narcissists

The present experiment (N = 95) investigated the relations of narcissism with social value orientation under facade conditions of testing communal or agentic traits (or none – in a control condition). The results indicated that narcissism predicted less willingness to share resources with others and more competitive orientation in a facade communal condition compared to the remaining two conditions: control and agentic. The results confirm narcissistic disregard for communal domain and are consistent with the extended agency model of narcissism and the “success as a drawback” effect.
Strathprints Institutional Repository the Mechanism of Neurofeedback Training for Treatment of Central Neuropathic Pain in Paraplegia: a Pilot Study

(2015) The mechanism of neurofeedback training for treatment of central neuropathic pain in paraplegia : a pilot study. Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (http://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge. Abstract Background: Central neuropathic pain has a prevalence of 40 % in patients with spinal cord injury. Electroencephalography (EEG) studies showed that this type of pain has identifiable signatures, that could potentially be targeted by a neuromodulation therapy. The aim of the study was to investigate the putative mechanism of neurofeedback training on central neuropathic pain and its underlying brain signatures in patients with chronic paraplegia.
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results

We investigate a class of hierarchical mixtures-of-experts (HME) models where exponential family regression models with generalized linear mean functions of the form psi(ga+fx^Tfgb) are mixed. Here psi(.) is the inverse link function. Suppose the true response y follows an exponential family regression model with mean function belonging to a class of smooth functions of the form psi(h(fx)) where h(.)in W_2^infty (a Sobolev class over [0,1]^{s}). It is shown that the HME probability density functions can approximate the true density, at a rate of O(m^{-2/s}) in L_p norm, and at a rate of O(m^{-4/s}) in Kullback-Leibler divergence. These rates can be achieved within the family of HME structures with no more than s-layers, where s is the dimension of the predictor fx. It is also shown that likelihood-based inference based on HME is consistent in recovering the truth, in the sense that as the sample size n and the number of experts m both increase, the mean square error of the predicted mean response goes to zero. Conditions for such results to hold are stated and discussed.
Optimal Transport Networks in Spatial Equilibrium

We study optimal transport networks in spatial equilibrium. We develop a framework consisting of a neoclassical trade model with labor mobility in which locations are arranged on a graph. Goods must be shipped through linked locations, and transport costs depend on congestion and on the infrastructure in each link, giving rise to an optimal transport problem in general equilibrium. The optimal transport network is the solution to a social planner's problem of building infrastructure in each link. We provide conditions such that this problem is globally convex, guaranteeing its numerical tractability. We also study cases with increasing returns to transport technologies in which global convexity fails. We apply the framework to assess optimal investments and inefficiencies in the road networks of European countries.
Pioglitazone Prevents Diabetes in Patients With Insulin Resistance and Cerebrovascular Disease

OBJECTIVE The Insulin Resistance Intervention after Stroke (IRIS) trial recently found that pioglitazone reduced risk for stroke and myocardial infarction in patients with insulin resistance but without diabetes who had had a recent ischemic stroke or transient ischemic attack (TIA). This report provides detailed results on the metabolic effects of pioglitazone and the trial’s prespecified secondary aim of diabetes prevention. RESEARCH DESIGN AND METHODS A total of 3,876 patients with recent ischemic stroke or TIA, no history of diabetes, fasting plasma glucose (FPG) <126 mg/dL, and insulin resistance by homeostasis model assessment of insulin resistance (HOMA-IR) score >3.0 were randomly assigned to pioglitazone or placebo. Surveillance for diabetes onset during the trial was accomplished by periodic interviews and annual FPG testing. RESULTS At baseline, the mean FPG, HbA1c, insulin, and HOMA-IR were 98.2 mg/dL (5.46 mmol/L), 5.8% (40 mmol/mol), 22.4 μIU/mL, and 5.4, respectively. After 1 year, mean HOMA-IR and FPG decreased to 4.1 and 95.1 mg/dL (5.28 mmol/L) in the pioglitazone group and rose to 5.7 and 99.7 mg/dL (5.54 mmol/L), in the placebo group (all P < 0.0001). Over a median follow-up of 4.8 years, diabetes developed in 73 (3.8%) participants assigned to pioglitazone compared with 149 (7.7%) assigned to placebo (hazard ratio [HR] 0.48 [95% CI 0.33–0.69]; P < 0.0001). This effect was predominately driven by those with initial impaired fasting glucose (FPG >100 mg/dL [5.6 mmol/L]; HR 0.41 [95% CI 0.30–0.57]) or elevated HbA1c (>5.7% [39 mmol/mol]; HR 0.46 [0.34–0.62]). CONCLUSIONS Among patients with insulin resistance but without diabetes who had had a recent ischemic stroke or TIA, pioglitazone decreased the risk of diabetes while also reducing the risk of subsequent ischemic events. Pioglitazone is the first medication shown to prevent both progression to diabetes and major cardiovascular events as prespecified outcomes in a single trial.
New heuristic algorithm for maximization total demands of nodes and number of covered nodes, simultaneously

This The maximal covering location problem (M.C.L.P) was originally developed to determine a set of facility locations which would maximize the total customers' demand serviced by the facilities within a predetermined critical service criterion. However, on some problems that differences between the demand nodes are covered or the number of nodes each node is large, the method of solving MCLP may ignore these differences. In this paper, Heuristic solution based on the ranking of demands in each node and the number of nodes covered by each node according to a predetermined critical value is proposed. The output of this method is to maximize total demands of nodes and number of covered nodes, simultaneously. Furthermore, by providing an example, the solution algorithm is described and its results are compared with Greedy and Lagrange algorithms. Also, the results of the algorithm to solve the larger problem sizes that compared with other methods are provided. A summary and future works conclude the paper.
Structural and functional analysis of the three MIF4G domains of nonsense-mediated decay factor UPF2

Nonsense-mediated decay (NMD) is a eukaryotic quality control pathway, involving conserved proteins UPF1, UPF2 and UPF3b, which detects and degrades mRNAs with premature stop codons. Human UPF2 comprises three tandem MIF4G domains and a C-terminal UPF1 binding region. MIF4G-3 binds UPF3b, but the specific functions of MIF4G-1 and MIF4G-2 are unknown. Crystal structures show that both MIF4G-1 and MIF4G-2 contain N-terminal capping helices essential for stabilization of the 10-helix MIF4G core and that MIF4G-2 interacts with MIF4G-3, forming a rigid assembly. The UPF2/UPF3b/SMG1 complex is thought to activate the kinase SMG1 to phosphorylate UPF1 in vivo. We identify MIF4G-3 as the binding site and in vitro substrate of SMG1 kinase and show that a ternary UPF2 MIF4G-3/UPF3b/SMG1 complex can form in vitro. Whereas in vivo complementation assays show that MIF4G-1 and MIF4G-2 are essential for NMD, tethering assays reveal that UPF2 truncated to only MIF4G-3 and the UPF1-binding region can still partially accomplish NMD. Thus UPF2 MIF4G-1 and MIF4G-2 appear to have a crucial scaffolding role, while MIF4G-3 is the key module required for triggering NMD.
Web Page Summarization for Just-in-Time Contextual Advertising

Contextual advertising is a type of Web advertising, which, given the URL of a Web page, aims to embed into the page the most relevant textual ads available. For static pages that are displayed repeatedly, the matching of ads can be based on prior analysis of their entire content; however, often ads need to be matched to new or dynamically created pages that cannot be processed ahead of time. Analyzing the entire content of such pages on-the-fly entails prohibitive communication and latency costs. To solve the three-horned dilemma of either low relevance or high latency or high load, we propose to use text summarization techniques paired with external knowledge (exogenous to the page) to craft short page summaries in real time. Empirical evaluation proves that matching ads on the basis of such summaries does not sacrifice relevance, and is competitive with matching based on the entire page content. Specifically, we found that analyzing a carefully selected 6% fraction of the page text can sacrifice only 1%--3% in ad relevance. Furthermore, our summaries are fully compatible with the standard JavaScript mechanisms used for ad placement: they can be produced at ad-display time by simple additions to the usual script, and they only add 500--600 bytes to the usual request. We also compared our summarization approach, which is based on structural properties of the HTML content of the page, with a more principled one based on one of the standard text summarization tools (MEAD), and found their performance to be comparable.
The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM

New vision sensors, such as the dynamic and active-pixel vision sensor (DAVIS), incorporate a conventional global-shutter camera and an event-based sensor in the same pixel array. These sensors have great potential for high-speed robotics and computer vision because they allow us to combine the benefits of conventional cameras with those of event-based sensors: low latency, high temporal resolution, and very high dynamic range. However, new algorithms are required to exploit the sensor characteristics and cope with its unconventional output, which consists of a stream of asynchronous brightness changes (called “events”) and synchronous grayscale frames. For this purpose, we present and release a collection of datasets captured with a DAVIS in a variety of synthetic and real environments, which we hope will motivate research on new algorithms for high-speed and high-dynamic-range robotics and computer-vision applications. In addition to global-shutter intensity images and asynchronous events, we provide inertial measurements and ground-truth camera poses from a motion-capture system. The latter allows comparing the pose accuracy of ego-motion estimation algorithms quantitatively. All the data are released both as standard text files and binary files (i.e. rosbag). This paper provides an overview of the available data and describes a simulator that we release open-source to create synthetic event-camera data.
Using Video Editing to Cultivate Novice Teachers’ Practice

Abstract This article reports research concerning the effective use of video editing to help cultivate novice teachers’ reflective practice. The study reported here is part of a larger body of research on video-enhanced teacher reflection. For this study, we used a qualitative research design to examine two guided reflection activities for two groups of novice teachers. The first group debriefed with a teacher educator immediately after teaching their lesson. They later wrote about critical incidents that occurred during their teaching. The second group had no debriefing, but the participants were asked to capture their lessons on digital video, edit their video for two critical incidents, and reflect on the incidents in written form using the same rubric as the first group. Given that both groups used the same reflection guide, we found that students who developed video vignettes produced longer and more multifaceted reflections. We found implications of these results to be an important step towards facilitating novice teachers’ development.