Journal articles: 'Slay The Spire'

1

Denitto, M., M. Bicego, A. Farinelli, and M. A. T. Figueiredo. "Spike and slab biclustering." Pattern Recognition 72 (December 2017): 186–95. http://dx.doi.org/10.1016/j.patcog.2017.07.021.

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Ročková, Veronika, and Edward I. George. "The Spike-and-Slab LASSO." Journal of the American Statistical Association 113, no. 521 (January 2, 2018): 431–44. http://dx.doi.org/10.1080/01621459.2016.1260469.

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Ishwaran, Hemant, and J. Sunil Rao. "Consistency of spike and slab regression." Statistics & Probability Letters 81, no. 12 (December 2011): 1920–28. http://dx.doi.org/10.1016/j.spl.2011.08.005.

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Louzada, Francisco, Taciana KO Shimizu, and Adriano K. Suzuki. "The Spike-and-Slab Lasso regression modeling with compositional covariates: An application on Brazilian children malnutrition data." Statistical Methods in Medical Research 29, no. 5 (July 23, 2019): 1434–46. http://dx.doi.org/10.1177/0962280219863817.

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There are considerable challenges in analyzing large-scale compositional data. In this paper, we introduce the Spike-and-Slab Lasso linear regression in the presence of compositional covariates for parameter estimation and variable selection. We consider the well-known isometric log-ratio (ilr) coordinates to avoid misleading statistical inference. The separable and non-separable (adaptative) Spike-and-Slab Lasso penalties are compared to verify the advantages of each approach. The proposed method is illustrated on simulated and on real Brazilian child malnutrition data.

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Cui, Kai, and Wenshan Cui. "Spike-and-Slab Dirichlet Process Mixture Models." Open Journal of Statistics 02, no. 05 (2012): 512–18. http://dx.doi.org/10.4236/ojs.2012.25066.

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Ding, Xinghao, Zengyuan Mi, Yue Huang, and Wenbo Jin. "Robust RVM based on spike-slab prior." Journal of Electronics (China) 29, no. 6 (October 30, 2012): 593–97. http://dx.doi.org/10.1007/s11767-012-0873-0.

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Ročková, Veronika, and Edward I. George. "Negotiating multicollinearity with spike-and-slab priors." METRON 72, no. 2 (June 11, 2014): 217–29. http://dx.doi.org/10.1007/s40300-014-0047-y.

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Liu, Tian, Yongfu Chen, Zhiyong Jin, Kai Li, Zhenting Wang, and Jiongzhi Zheng. "Spare Pose Graph Decomposition and Optimization for SLAM." MATEC Web of Conferences 256 (2019): 05003. http://dx.doi.org/10.1051/matecconf/201925605003.

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The graph optimization has become the mainstream technology to solve the problems of SLAM (simultaneous localization and mapping). The pose graph in the graph based SLAM is consisted with a series of nodes and edges that connect the adjacent or related poses. With the widespread use of mobile robots, the scale of pose graph has rapidly increased. Therefore, optimizing a large-scale pose graph is the bottleneck of application of graph based SLAM. In this paper, we propose an optimization method basing on the decomposition of pose graph, of which we have noticed the sparsity. With the extraction of the Single-chain and the Parallel-chain, the pose graph is decomposed into many small subgraphs. Compared with directly processing the original graph, the speed of calculation is accelerated by separately optimizing the subgraph, which is because the computational complexity is increasing exponentially with the increase of the graph’s scale. This method we proposed is very suitable for the current multi-threaded framework adopted in the mainstream SLAM, which separately calculate the subgraph decomposed by our method, rather than the original optimization requiring a large block of time in once may cause CPU obstruction. At the end of the paper, our algorithm is validated with the open source dataset of the mobile robot, of which the result illustrates our algorithm can reduce the one-time resource consumption and the time consumption of the calculation with the same map-constructing accuracy.

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Castillo, Ismaël, and Botond Szabó. "Spike and slab empirical Bayes sparse credible sets." Bernoulli 26, no. 1 (February 2020): 127–58. http://dx.doi.org/10.3150/19-bej1119.

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Xiaojun, Bi, and Wang Haibo. "Contractive Slab and Spike Convolutional Deep Boltzmann Machine." Neurocomputing 290 (May 2018): 208–28. http://dx.doi.org/10.1016/j.neucom.2018.02.048.

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Castillo, Ismaël, and Étienne Roquain. "On spike and slab empirical Bayes multiple testing." Annals of Statistics 48, no. 5 (October 2020): 2548–74. http://dx.doi.org/10.1214/19-aos1897.

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Wang, Haibo, and Xiaojun Bi. "Contractive Slab and Spike Convolutional Deep Belief Network." Neural Processing Letters 49, no. 3 (August 9, 2018): 1697–722. http://dx.doi.org/10.1007/s11063-018-9897-2.

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Ishwaran, Hemant, and J. Sunil Rao. "Spike and slab variable selection: Frequentist and Bayesian strategies." Annals of Statistics 33, no. 2 (April 2005): 730–73. http://dx.doi.org/10.1214/009053604000001147.

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Ishwaran, Hemant, and J. Sunil Rao. "Spike and Slab Gene Selection for Multigroup Microarray Data." Journal of the American Statistical Association 100, no. 471 (September 2005): 764–80. http://dx.doi.org/10.1198/016214505000000051.

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Castillo, Ismaël, and Romain Mismer. "Empirical Bayes analysis of spike and slab posterior distributions." Electronic Journal of Statistics 12, no. 2 (2018): 3953–4001. http://dx.doi.org/10.1214/18-ejs1494.

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16

Rockova, Veronika, and Kenichiro McAlinn. "Dynamic Variable Selection with Spike-and-Slab Process Priors." Bayesian Analysis 16, no. 1 (2021): 233–69. http://dx.doi.org/10.1214/20-ba1199.

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Liu, Y., F. Y. Li, M. Zeng, M. Chen, and Z. M. Sheng. "Ultra-intense attosecond pulses emitted from laser wakefields in non-uniform plasmas." Laser and Particle Beams 31, no. 2 (May 2, 2013): 233–38. http://dx.doi.org/10.1017/s0263034613000220.

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AbstractA scheme of generating ultra-intense attosecond pulses in ultra-relativistic laser interaction with under-dense plasmas is proposed. The attosecond pulse emission is caused by an oscillating transverse current sheet formed by an electron density spike composed of trapped electrons in the laser wakefield and the residual transverse momentum of electrons left behind the laser pulse when its front is strongly modulated. As soon as the attosecond pulse emerges, it tends to feed back to further enhance the transverse electron momentum and the transverse current. Consequently, the attosecond pulse is enhanced and developed into a few cycles later until the density spike is depleted out due to the pump laser depletion. To control the formation of the transverse current sheet, a non-uniform plasma slab with an up-ramp density profile in front of a uniform region is adopted, which enables one to obtain attosecond pulses with higher amplitudes than that in a uniform plasma slab.

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Ishwaran, Hemant, Udaya,B Kogalur, and J. ,Sunil Rao. "spikeslab: Prediction and Variable Selection Using Spike and Slab Regression." R Journal 2, no. 2 (2010): 68. http://dx.doi.org/10.32614/rj-2010-018.

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Shelton, Jacquelyn A., Abdul-Saboor Sheikh, Jörg Bornschein, Philip Sterne, and Jörg Lücke. "Nonlinear Spike-And-Slab Sparse Coding for Interpretable Image Encoding." PLOS ONE 10, no. 5 (May 8, 2015): e0124088. http://dx.doi.org/10.1371/journal.pone.0124088.

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Lu, Xiaoqiang, Yuan Yuan, and Pingkun Yan. "Sparse coding for image denoising using spike and slab prior." Neurocomputing 106 (April 2013): 12–20. http://dx.doi.org/10.1016/j.neucom.2012.09.014.

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Goodfellow, Ian J., Aaron Courville, and Yoshua Bengio. "Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 8 (August 2013): 1902–14. http://dx.doi.org/10.1109/tpami.2012.273.

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Antonelli, Joseph, Giovanni Parmigiani, and Francesca Dominici. "High-Dimensional Confounding Adjustment Using Continuous Spike and Slab Priors." Bayesian Analysis 14, no. 3 (September 2019): 805–28. http://dx.doi.org/10.1214/18-ba1131.

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Zhang, Nan, Shifei Ding, Jian Zhang, and Xingyu Zhao. "Robust spike-and-slab deep Boltzmann machines for face denoising." Neural Computing and Applications 32, no. 7 (November 19, 2018): 2815–27. http://dx.doi.org/10.1007/s00521-018-3866-6.

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24

Zink, Andrea. "Sprachliche und andere Grenzfälle – Identitätskritik in Stevan Sremac’Pop Ćira i pop Spira." Zeitschrift für Slawistik 57, no. 2 (June 2012): 204–17. http://dx.doi.org/10.1524/slaw.2012.0013.

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Kumar, Praveen, D. Satish Kumar, K. Marutiram, and SMR Prasad. "Pilot-scale steam aging of steel slags." Waste Management & Research: The Journal for a Sustainable Circular Economy 35, no. 6 (March 1, 2017): 602–9. http://dx.doi.org/10.1177/0734242x17694247.

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Solid waste management has gained importance in the steel industry in view of rising environmental concerns and scarcity of raw materials. In spite of significant developments in reducing waste generation and development of recycling technologies, steel slag is still a concern for the industry as most of it is dumped. Steel slag is similar to stone aggregates in strength, but its volumetric instability in contact with water hinders its application as aggregates in construction. A part of steel slag is normally exposed to rain and sun for natural aging and stabilization for months before use. The natural aging process is slow and time-consuming, and thus restricts its usage. The steelmaking slag can be put to effective use as coarse aggregates if quickly aged and stabilized by pre-reacting the free expansive phases. In the present work, a new process has been developed to accelerate the steel slag aging process using steam in a 30 T pilot scale facility. The setup has controlled steam injection, distribution, and process control system for steam, temperature, flow, and pressure. Steam percolates through the minute pores in the slag lumps and hydrates the expansive free lime and MgO phases, making it stable. The aged slag expansion properties were tested using an in-house developed expansion testing apparatus. The process is capable of reducing the expansion of steel slag from 3.5% to <1.5% (standard requirement) in 7 days. The aged steel slag is currently being used in roads at JSW Steel, Vijayanagar Works.

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Chen, Zhihua, Xu Zhong, Yang Liu, Jiadi Liu, and Ning Guo. "Numerical study on modular slab–column steel structure based on simplified integrated floor." Advances in Structural Engineering 23, no. 6 (December 6, 2019): 1195–208. http://dx.doi.org/10.1177/1369433219891582.

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In spite of the high clear height and the convenient pipeline arrangement, the application of slab–column structures is still limited especially given the development trend of prefabricated steel structures. Therefore, an innovative modular slab–column steel structure is introduced to achieve advantages in architecture, structural performance, as well as prefabrication. First, the deformation mode and working mechanism of the integrated floor module are investigated based on cooperative deformation principle through theory and finite element analyses. Then, the principle is adopted again to obtain a simplified floor model. On the basis of the simplified floor, a series of building models are established and parametric analyses are conducted. The results indicate that the slab thickness and the size of columns may play different roles for the structures under gravity loads or lateral loads. Finally, the potential application scope of MSCSS is further discussed and some design recommendations are also proposed.

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Makhotkina, E. S., O. S. Ponomareva, and L. G. Kolyada. "Resource-Saving Technology of Recycling of Wastes of Secondary Aluminium Production in a Blast Furnace in the Process of Aluminous Slag Smelting." Solid State Phenomena 265 (September 2017): 1081–85. http://dx.doi.org/10.4028/www.scientific.net/ssp.265.1081.

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The paper considers the theoretical and practical aspects of recycling of secondary aluminium production wastes by adding them to the burden mix in the process of aluminous slag production (from bauxites) in the blast-furnace smelting operation. The comparative analysis of bauxite chemical composition and the secondary aluminium production waste was carried out and the feasibility of using secondary aluminium production waste as a raw material for blast-furnace smelting was studied. A mathematical model was presented to obtain aluminous slag by blast-furnace smelting of bauxites with their partial substitution with the secondary aluminium production waste; this model makes it possible to calculate the rational mixture of burden materials when aluminous slag is produced in a blast furnace taking into account chemical composition of the materials used and the required content of oxides of aluminium, calcium and silicon in the final slag. The high-alumina slag formed when the wastes of secondary aluminium production are used in burden materials is characterized by low gas content during slag tapping (in spite of the elevated temperature) and by high flowability. The laboratory tests of binding properties of the high-alumina slag obtained in a blast furnace using wastes of secondary aluminium production, which were carried out by the plant laboratory, showed that the cements produced from this slag have satisfactory strength characteristics, although their setting time is somewhat longer. Recycling of slag dumps of aluminium production will make it possible to obtain new sources of raw materials, enhance the technology of handling and transportation of materials from man-made mineral formations to recycling plants without increasing the environmental load.

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Canale, A., A. Lijoi, B. Nipoti, and I. Prünster. "On the Pitman–Yor process with spike and slab base measure." Biometrika 104, no. 3 (August 3, 2017): 681–97. http://dx.doi.org/10.1093/biomet/asx041.

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Summary For the most popular discrete nonparametric models, beyond the Dirichlet process, the prior guess at the shape of the data-generating distribution, also known as the base measure, is assumed to be diffuse. Such a specification greatly simplifies the derivation of analytical results, allowing for a straightforward implementation of Bayesian nonparametric inferential procedures. However, in several applied problems the available prior information leads naturally to the incorporation of an atom into the base measure, and then the Dirichlet process is essentially the only tractable choice for the prior. In this paper we fill this gap by considering the Pitman–Yor process with an atom in its base measure. We derive computable expressions for the distribution of the induced random partitions and for the predictive distributions. These findings allow us to devise an effective generalized Pólya urn Gibbs sampler. Applications to density estimation, clustering and curve estimation, with both simulated and real data, serve as an illustration of our results and allow comparisons with existing methodology. In particular, we tackle a functional data analysis problem concerning basal body temperature curves.

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Hernández-Lobato, José Miguel, Daniel Hernández-Lobato, and Alberto Suárez. "Expectation propagation in linear regression models with spike-and-slab priors." Machine Learning 99, no. 3 (December 10, 2014): 437–87. http://dx.doi.org/10.1007/s10994-014-5475-7.

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Shibib, Khalid, Mohammad Munshid, and Mohammed Hamza. "Analytical solution of transient temperature in continuous wave end-pumped laser slab: Reduction of temperature distribution and time of thermal response." Thermal Science 21, no. 3 (2017): 1223–30. http://dx.doi.org/10.2298/tsci141210178s.

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An analytical solution of transient 3-D heat equation based on integral transform method is derived. The result are compared with numerical solution, and good agreements are obtained. Minimization of response time and temperature distribution through a laser slab are tested. It is found that the increasing in the lateral convection heat transfer coefficient can significantly reduce the response time and the temperature distribution while no effect on response time is observed when changing pumping profile from Gaussian to top hat beam in spite of the latter reduce the temperature distribution, also it is found that dividing the pumping power between two slab ends might reduce the temperature distribution and it has no effect on thermal response time.

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Preston, Dennis R. "Variation linguistics and SLA." Second Language Research 9, no. 2 (June 1993): 153–72. http://dx.doi.org/10.1177/026765839300900205.

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Sociolinguistics (here called variationist linguistics) has been misunderstood and misrepresented in second language acquistion (SLA) research. In spite of that, several productive studies (many of which use the VARBRUL statistical program) have made significant contributions to our understandings of variation in SLA data, contributions which touch on the linguistic and not the social concerns of such data. The failure of SLA researchers who belong to the so-called 'dominant paradigm' (or Chomskyan or Universal Grammar (UG) research programme) to realize that belief in a so-called variable competence is not a prerequisite to variation studies has been particularly harmful. On the other hand, the failure of sociolinguists to take psycholinguistic matters seriously has been another serious drawback to interfield co-operation; a summary of a plausible variationist psycholinguistics (within an SLA setting and allowing UG interpretation) is provided.

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Lei, Huxu, Chaowen Tan, Gangqiang Fan, Dejun Huang, Xiaoming Ding, and Jie Dang. "The Crystallization Behavior of TiO2-CaO-SiO2-Al2O3-MgO Pentabasic Slag with a Basicity of 1.1–1.4." Crystals 11, no. 6 (May 22, 2021): 583. http://dx.doi.org/10.3390/cryst11060583.

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The utilization of titanium-containing blast furnace slag has been an unsolved problem for a long time. Failure to make effective use of the slag, which is caused by a high TiO2 content within it, not only results in a waste of resources, especially titanium, but also increases environmental risk. The key to address the problem is the enrichment and extraction of TiO2 from the slag first. Therefore, in order to study the enrichment of titanium, the crystallization behavior of TiO2-CaO-SiO2-Al2O3-MgO pentabasic slag, the main compositions of titanium-containing blast furnace slag, within the basicity range of 1.1–1.4 was investigated theoretically and experimentally. Thermodynamic calculation shows that perovskite is the main titanium-containing phase and titanium can be enriched in perovskite. By decreasing the temperature, perovskite precipitates at first. Additionally, with the increase of basicity, perovskite precipitation temperature increases continuously, and its amount of precipitation almost does not change, while the amounts of other phases change obviously. The experimental results demonstrate similar results except for the amount of perovskite (with the increase of basicity, perovskite precipitation amount increases slightly), caused by kinetic reason. In addition, the morphology of the slag at different scales was observed. The surface of the cooled slag is granular, vein-like, and irregular, multilaterally shaped from outside to inside. The crystal is dendritic with a spine-like trunk, and the edge is blade-like. In terms of the structure of the crystal, the inner part of it is perovskite, and the outer part is covered with a layer of other phases with spinel inlaying it. Finally, the precipitated mechanism is proposed as well.

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Radenkovic, Ljubinko. "Slav beliefs on changelings." Balcanica, no. 32-33 (2002): 143–54. http://dx.doi.org/10.2298/balc0233143r.

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Beliefs and legends that certain mythological creatures - fairies, witches, the devil, (vile, vestice, djavo, boginka, mamuna, baenik, domovoj, leshi) etc. can take away the child from the mother and exchange it for its own in the image of the abducted child, are widespread with the West and East Slavs, while with the South Slavs they are found only in the northern parts, in Pannonia. Such demonic child is most often called: podmece (with the Serbs), podvrsce (with the Croats), podmenek (with the Slovenians), odmienjec (with the Poles), odminok (with the Ukrainians), obmen (with the Russians), etc. According to the folk beliefs, a changeling differs from the other children by its sluggish growth, voraciousness, and persistent desire to harm or spite other members of the household. Slav legends mention the ways of stealing the human and planting the demonic child (a), recognizing the demonic child (b), and disposing of it and restoring the rightful child (c). In order to prevent the demon from exchanging her child, the mother must observe certain rules of conduct during pregnancy and in the 40 days following the childbirth. Certain measures of magical protection are also undertaken, as: placing sharp iron objects near the nursing woman, then brooms, leaving the candle to burn all night, burning frankincense in her presence, sprinkling her with holy water, etc. The legends on changelings were most probably adopted by the Slavs from the neighboring western peoples (Germans), and included in the already present beliefs that the birth of a child is a gift from the other world, and that the mother must take great care of the gift and be grateful for it. Otherwise, the one bestowing the gift may take it away as well.

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Koch, Brandon, David M. Vock, Julian Wolfson, and Laura Boehm Vock. "Variable selection and estimation in causal inference using Bayesian spike and slab priors." Statistical Methods in Medical Research 29, no. 9 (January 15, 2020): 2445–69. http://dx.doi.org/10.1177/0962280219898497.

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Unbiased estimation of causal effects with observational data requires adjustment for confounding variables that are related to both the outcome and treatment assignment. Standard variable selection techniques aim to maximize predictive ability of the outcome model, but they ignore covariate associations with treatment and may not adjust for important confounders weakly associated to outcome. We propose a novel method for estimating causal effects that simultaneously considers models for both outcome and treatment, which we call the bilevel spike and slab causal estimator (BSSCE). By using a Bayesian formulation, BSSCE estimates the posterior distribution of all model parameters and provides straightforward and reliable inference. Spike and slab priors are used on each covariate coefficient which aim to minimize the mean squared error of the treatment effect estimator. Theoretical properties of the treatment effect estimator are derived justifying the prior used in BSSCE. Simulations show that BSSCE can substantially reduce mean squared error over numerous methods and performs especially well with large numbers of covariates, including situations where the number of covariates is greater than the sample size. We illustrate BSSCE by estimating the causal effect of vasoactive therapy vs. fluid resuscitation on hypotensive episode length for patients in the Multiparameter Intelligent Monitoring in Intensive Care III critical care database.

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Beretta, Alan. "Theory Construction in SLA." Studies in Second Language Acquisition 13, no. 4 (December 1991): 493–511. http://dx.doi.org/10.1017/s0272263100010305.

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There are indications that a determined effort toward theory construction is currently being mounted in SLA (Gregg, 1989, 1990; Long, 1990; Spolsky, 1989). This raises a number of epistemological issues, one of which is the question of multiple theories and lack of convergence (and the related question of distinguishing science from nonscience–and from nonsense). In a field where there are many different therorise, is the relationship between them one of complementarity or of opposition? Are there criteria for appraisal and choice? Issues relating to theory construction have received considerable attention in the literature (e.g., Lightbown, 1984; McLaughlin, 1987). This article aims to build on such initiative asking: (a) Are there multiple theories of SLA? (b) Is it a problem? and (c) what criteria have SLA researchers used to appraise and choose between theories, and how compelling are they? Following this, consideration is given to top-down and bottom-up approaches to SLA theory construction. I conclude by advancing the modest claim that rationality in SLA therory construction is possible, in spite of insistent problems.

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Deshpande, Sameer K., Veronika Ročková, and Edward I. George. "Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO." Journal of Computational and Graphical Statistics 28, no. 4 (May 17, 2019): 921–31. http://dx.doi.org/10.1080/10618600.2019.1593179.

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Scheipl, Fabian, Ludwig Fahrmeir, and Thomas Kneib. "Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models." Journal of the American Statistical Association 107, no. 500 (October 17, 2012): 1518–32. http://dx.doi.org/10.1080/01621459.2012.737742.

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Ročková, Veronika. "Bayesian estimation of sparse signals with a continuous spike-and-slab prior." Annals of Statistics 46, no. 1 (February 2018): 401–37. http://dx.doi.org/10.1214/17-aos1554.

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Yen, Tso-Jung. "A majorization–minimization approach to variable selection using spike and slab priors." Annals of Statistics 39, no. 3 (June 2011): 1748–75. http://dx.doi.org/10.1214/11-aos884.

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Zohrul Kabir, A. B. M., and S. H. A. Farrash. "Simulation of an integrated age replacement and spare provisioning policy using SLAM." Reliability Engineering & System Safety 52, no. 2 (May 1996): 129–38. http://dx.doi.org/10.1016/0951-8320(96)00013-0.

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Ben-Yosef, Erez, Lisa Tauxe, Thomas E. Levy, Ron Shaar, Hagai Ron, and Mohammad Najjar. "Geomagnetic intensity spike recorded in high resolution slag deposit in Southern Jordan." Earth and Planetary Science Letters 287, no. 3-4 (October 2009): 529–39. http://dx.doi.org/10.1016/j.epsl.2009.09.001.

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Dey, Tanujit. "A Bimodal Spike and Slab Model for Variable Selection and Model Exploration." Journal of Data Science 10, no. 3 (March 20, 2021): 363–83. http://dx.doi.org/10.6339/jds.201207_10(3).0002.

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Oh, Sang Hoon, and Hong Sik Ryu. "Seismic Performance of Steel Frames for Sustainable Structural System." Applied Mechanics and Materials 204-208 (October 2012): 2705–12. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2705.

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A test on a full-scale model of a three-spans and two-story steel moment frame with dampers and releasable slab was conducted. The details of the test frames, test instruments, set-up procedures, and test procedures were presented. The column and beam were connected by dampers that could initiate the plastic deformation during cyclic loading before damage occurred in the beam and column. The precast concrete slab was designed to be releasable and for saving story height. The primary objective of this test was to verify structural performance and constructability of a full-scale sustainable steel frame. Test results confirm that the sustainable frame showed stable hysteretic behavior without any serious damage up to a drift angle of 1/12; and the sustainable frames were released systematically in spite of serious cyclic loading.

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Du, Sizhen, Guojie Song, Lei Han, and Haikun Hong. "Temporal Causal Inference with Time Lag." Neural Computation 30, no. 1 (January 2018): 271–91. http://dx.doi.org/10.1162/neco_a_01028.

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Accurate causal inference among time series helps to better understand the interactive scheme behind the temporal variables. For time series analysis, an unavoidable issue is the existence of time lag among different temporal variables. That is, past evidence would take some time to cause a future effect instead of an immediate response. To model this process, existing approaches commonly adopt a prefixed time window to define the lag. However, in many real-world applications, this parameter may vary among different time series, and it is hard to be predefined with a fixed value. In this letter, we propose to learn the causal relations as well as the lag among different time series simultaneously from data. Specifically, we develop a probabilistic decomposed slab-and-spike (DSS) model to perform the inference by applying a pair of decomposed spike-and-slab variables for the model coefficients, where the first variable is used to estimate the causal relationship and the second one captures the lag information among different temporal variables. For parameter inference, we propose an efficient expectation propagation (EP) algorithm to solve the DSS model. Experimental results conducted on both synthetic and real-world problems demonstrate the effectiveness of the proposed method. The revealed time lag can be well validated by the domain knowledge within the real-world applications.

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Horie, Masayuki, and Kenji Hirata. "Influence of Dog-Bone Width on End Profile in Plan View Pattern Control Method for Plate Rolling." Key Engineering Materials 725 (December 2016): 542–47. http://dx.doi.org/10.4028/www.scientific.net/kem.725.542.

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A plan view pattern control method for plate rolling called Mizushima Automatic Plan View Pattern Control System (MAS) or Dog Bone Rolling (DBR) was developed. In this method, the slab is given a non-uniform thickness profile in the width direction to obtain non-uniform elongation. In order to make the plate more rectangular under various rolling conditions, prediction of elongation is necessary. In this research, the influence of the dog-bone width (overly thick part at the slab width edge) on the fish-tail length (over-elongation at the slab end) is investigated. The fish-tail length increases as the dog-bone width increases in spite of the same dog-bone height. This phenomenon is related to the following behavior of the restriction of excessive elongation of the dog-bone: As the dog-bone width increases, the working length of restricting stress increases. Hence, restricting stress is released earlier and the rolling length for fish-tail formation increases. As a result, the fish-tail length increases. Therefore, for the prediction of plan view pattern, not only the dog-bone thickness, but also the dog-bone width should be considered.

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Collaud, Stéphane, Elie Fadel, Joachim Schirren, Hiroyasu Yokomise, Servet Bolukbas, Philippe Dartevelle, Shaf Keshavjee, Thomas K. Waddell, and Marc de Perrot. "En Bloc Resection of Pulmonary Sulcus Non-small Cell Lung Cancer Invading the Spine." Annals of Surgery 262, no. 1 (July 2015): 184–88. http://dx.doi.org/10.1097/sla.0000000000000797.

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Xi, Ruibin, Yunxiao Li, and Yiming Hu. "Bayesian Quantile Regression Based on the Empirical Likelihood with Spike and Slab Priors." Bayesian Analysis 11, no. 3 (September 2016): 821–55. http://dx.doi.org/10.1214/15-ba975.

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Courville, Aaron, Guillaume Desjardins, James Bergstra, and Yoshua Bengio. "The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions." IEEE Transactions on Pattern Analysis and Machine Intelligence 36, no. 9 (September 2014): 1874–87. http://dx.doi.org/10.1109/tpami.2013.238.

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Serra, Juan G., Javier Mateos, Rafael Molina, and Aggelos K. Katsaggelos. "Variational EM method for blur estimation using the spike-and-slab image prior." Digital Signal Processing 88 (May 2019): 116–29. http://dx.doi.org/10.1016/j.dsp.2019.01.004.

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van Drongelen, Wim, Henner Koch, Charles Marcuccilli, Fernando Penã, and Jan-Marino Ramirez. "Synchrony Levels During Evoked Seizure-Like Bursts in Mouse Neocortical Slices." Journal of Neurophysiology 90, no. 3 (September 2003): 1571–80. http://dx.doi.org/10.1152/jn.00392.2003.

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Slices ( n = 45) from the somatosensory cortex of mouse (P8-13) generated spontaneous bursts of activity (0.10 ± 0.05 Hz) that were recorded extracellularly. Multiunit action potential (AP) activity was integrated and used as an index of population activity. In this experimental model, seizure-like activity (SLA) was evoked with bicuculline (5–10 μM) or N-methyl-d-aspartate (NMDA, 5 μM). SLA was an episode with repetitive bursting at a frequency of 0.50 ± 0.06 Hz. To evaluate whether SLA was associated with a change in synchrony, we obtained simultaneous intracellular and extracellular recordings ( n = 40) and quantified the relationship between individual cells and the surrounding population of neurons. During the SLA there was an increase in population activity and bursting activity was observed in neurons and areas that were previously silent. We defined synchrony as cellular activity that is consistently locked with the population bursts. Signal-averaging techniques were used to determine this component. To quantitatively assess change in synchronous activity at SLA onset, we estimated the entropy of the single cell's spike trains and subdivided this measure into network burst-related information and noise-related entropy. The burst-related information was not significantly altered at the onset of NMDA-evoked SLA and slightly increased when evoked with bicuculline. The signal-to-noise ratio determined from the entropy estimates showed a significant decrease (instead of an expected increase) during SLA. We conclude that the increased population activity during the SLA is attributed to recruitment of neurons rather than to increased synchrony of each of the individual elements.

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Journal articles on the topic 'Slay The Spire'

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