Thematische Bibliographien / Slay The Spire

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Auswahl der wissenschaftlichen Literatur zum Thema „Slay The Spire“

Autor: Grafiati

Veröffentlicht am 30. Juni 2021

Zuletzt aktualisiert am 11. Februar 2022

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Zeitschriftenartikel zum Thema "Slay The Spire"

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 (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 (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 (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 (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 (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 (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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Dissertationen zum Thema "Slay The Spire"

Trojanowski, Mikolaj, and Johan Andersson. "Are you lucky or skilled in Slay The Spire? : An analysis of randomness." Thesis, Malmö universitet, Institutionen för datavetenskap och medieteknik (DVMT), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43090.

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Elements of randomness are a common factor inmodern digital games, from simple rolls of a die tocomplex AI systems. These elements have an impacton how the player experiences a game. We believe thatexploring the field of luck analysis can benefit designersthrough an developed understanding of how such elementsaffect players. The developers of the digital card gameSlay the Spire has released 77 millions of instances ofplay and sample of these are explored in this study. Withthe use of data mining, data clustering and correlationanalysis the effect of elements of randomness present inSlay the Spire are analyzed. In conclusion, three playerskill groups were identified with the use of clustering:Winners, Low skill losers and High skill losers. Weobserved that people who succeeded in beating the game,had an increased amount of randomness in the formof cards by a factor of 1.82. Showing that more skilledplayers do not shy away from randomness but insteadembrace it more than lower skilled players.

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Porenius, Oscar, and Nils Hansson. "Using machine learning to help find paths through the map in Slay the Spire." Thesis, Malmö universitet, Institutionen för datavetenskap och medieteknik (DVMT), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43386.

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Slay the Spire is a complex deck-building and roguelike game with many possibilities of improving players ability to win. An important part of Slay the Spire is choosing a path that makes the players character as successful as possible. In this study we show that machine learning can help players pick better paths by creating an Artificial Neural Network (ANN) that predicts the most successful path of all available paths, we also discuss what makes a path successful. This study performed two experiments, one user study and one simulation experiment, with the intention of evaluating the created ANN and analysing what makes paths successful. Through the user study this paper shows that the ANN was effective at predicting paths, outperforming all other human players who played normally in all three cases. This study concludes that machine learning can be used effectively to help make pathing decisions in Slay the Spire. Furthermore the study proves the importance of the room types ’Elite’ and ’Campfires’ through the simulation experiment, user study and analysis of data from previous playthroughs.

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Agarwal, Anjali. "Bayesian variable selection with spike-and-slab priors." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461940937.

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Papana, Ariadni. "Tools for Comprehensive Statistical Analysis of Microarray Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1207243877.

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Mismer, Romain. "Convergence et spike and Slab Bayesian posterior distributions in some high dimensional models." Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCC064.

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On s'intéresse d'abord au modèle de suite gaussienne parcimonieuse. Une approche bayésienne empirique sur l'a priori Spike and Slab permet d'obtenir la convergence à vitesse minimax du moment d'ordre 2 a posteriori pour des Slabs Cauchy et on prouve un résultat de sous-optimalité pour un Slab Laplace. Un meilleur choix de Slab permet d'obtenir la constante exacte. Dans le modèle d'estimation de densité, un a priori arbre de Polya tel que les variables de l'arbre ont une distribution de type Spike and Slab donne la convergence à vitesse minimax et adaptative pour la norme sup de la loi a posteriori et un théorème Bernstein-von Mises non paramétrique<br>The first main focus is the sparse Gaussian sequence model. An Empirical Bayes approach is used on the Spike and Slab prior to derive minimax convergence of the posterior second moment for Cauchy Slabs and a suboptimality result for the Laplace Slab is proved. Next, with a special choice of Slab convergence with the sharp minimax constant is derived. The second main focus is the density estimation model using a special Polya tree prior where the variables in the tree construction follow a Spike and Slab type distribution. Adaptive minimax convergence in the supremum norm of the posterior distribution as well as a nonparametric Bernstein-von Mises theorem are obtained

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Sheikh, Abdul-Saboor [Verfasser], Jörg [Akademischer Betreuer] Lücke, Manfred [Gutachter] Opper, Klaus [Gutachter] Obermayer, and Jörg [Gutachter] Lücke. "On scalable inference and learning in spike-and-slab sparse coding / Abdul-Saboor Sheikh ; Gutachter: Manfred Opper, Klaus Obermayer, Jörg Lücke ; Betreuer: Jörg Lücke." Berlin : Technische Universität Berlin, 2017. http://d-nb.info/1156183391/34.

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Marques, Matheus Augustus Pumputis. "Análise e comparação de alguns métodos alternativos de seleção de variáveis preditoras no modelo de regressão linear." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-23082018-210710/.

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Neste trabalho estudam-se alguns novos métodos de seleção de variáveis no contexto da regressão linear que surgiram nos últimos 15 anos, especificamente o LARS - Least Angle Regression, o NAMS - Noise Addition Model Selection, a Razão de Falsa Seleção - RFS (FSR em inglês), o LASSO Bayesiano e o Spike-and-Slab LASSO. A metodologia foi a análise e comparação dos métodos estudados e aplicações. Após esse estudo, realizam-se aplicações em bases de dados reais e um estudo de simulação, em que todos os métodos se mostraram promissores, com os métodos Bayesianos apresentando os melhores resultados.<br>In this work, some new variable selection methods that have appeared in the last 15 years in the context of linear regression are studied, specifically the LARS - Least Angle Regression, the NAMS - Noise Addition Model Selection, the False Selection Rate - FSR, the Bayesian LASSO and the Spike-and-Slab LASSO. The methodology was the analysis and comparison of the studied methods. After this study, applications to real data bases are made, as well as a simulation study, in which all methods are shown to be promising, with the Bayesian methods showing the best results.

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Klus, Jakub. "Nová koncepce údržby a provozu výrobních technologií." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-449712.

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This diploma thesis deals with a new concept of maintenance and operation of production technologies, where spare parts are manufactured using rapid prototyping methods. The options are compared with currently used methods. Furthermore, methodological recommendations are written on how to proceed with the application. The aim of the work is to evaluate the concept and confirm the theoretical assumptions on a case study.

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Larsson, Sofi, and Ove Lundberg. "Listening comprehension : Digital technology and its effect on the L2 learner’s listening comprehension." Thesis, Umeå universitet, Institutionen för naturvetenskapernas och matematikens didaktik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160967.

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The rapid development of new technologies and how these are affecting school age children is in this day and age an area of growing importance. In the context of second language (L2) acquisition, it has been noted that spare time activities of a digital nature impact those pupils who spend more time on activities such as online gaming in the target language than average (Sundqvist 2019, 95-103). The aim of the current study was to investigate the possible effect three different digital spare time activities (computer and video games, movies and music) have on listening comprehension. This when English is the dominant language in the activities, and the focus is on 6th grade children. The method used was a comparison made between a language diary homework, consisting of the participants’ estimated number of hours spent on digital spare time activities, and the results of a listening exercise. The results show that there is a positive correlation between the results of the listening comprehension test and the number of hours spent on digital spare time activities. Also, repeated exposure to the target language in a digital spare time context does, therefore, affect second language acquisition to a limited extent. The conclusion was that in order to come to a more conclusive answer regarding the correlation between digital spare time activities and English listening comprehension, more research is needed.<br>I samband med andraspråksinlärning har det noterats att digitala fritidsaktiviteter påverkar de elever som spenderar mer tid på denna sorts aktiviteter (Sundqvist 2019, 95–103). Syftet med den aktuella undersökningen blev således att undersöka den möjliga effekt digitala fritidsaktiviteter, på engelska, har på just engelsk hörförståelse. De tre utvalda aktiviteterna är här digitala spel, film och musik. Engelska är alltså målspråket och fokusgruppen är sjätteklassare. Metoden som användes var en jämförelse mellan resultaten av en språkdagbok, bestående av det antal timmar som deltagarna angett att de spenderar på digitala fritidsaktiviteter under en genomsnittlig vecka, samt resultat inhämtade från en hörövning. Resultatet visar att det finns en positiv korrelation mellan resultaten på hörförståelsetestet och antalet timmar som spenderas på digitala fritidsaktiviteter. Vidare visade det sig att upprepad exponering för målspråket i ett digitalt sammanhang påverkar andraspråksinlärning i en begränsad utsträckning. Slutsatsen blev därmed att det krävs mer forskning för att komma fram till ett definitivt svar angående sambandet mellan digitala fritidsaktiviteter och engelsk hörförståelse.

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Sharp, Kevin John. "Effective Bayesian inference for sparse factor analysis models." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/effective-bayesian-inference-for-sparse-factor-analysis-models(4facfde0-0aae-4f09-aeaa-960111e854ff).html.

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We study how to perform effective Bayesian inference in high-dimensional sparse Factor Analysis models with a zero-norm, sparsity-inducing prior on the model parameters. Such priors represent a methodological ideal, but Bayesian inference in such models is usually regarded as impractical. We test this view. After empirically characterising the properties of existing algorithmic approaches, we use techniques from statistical mechanics to derive a theory of optimal learning in the restricted setting of sparse PCA with a single factor. Finally, we describe a novel `Dense Message Passing' algorithm (DMP) which achieves near-optimal performance on synthetic data generated from this model.DMP exploits properties of high-dimensional problems to operate successfully on a densely connected graphical model. Similar algorithms have been developed in the statistical physics community and previously applied to inference problems in coding and sparse classification. We demonstrate that DMP out-performs both a newly proposed variational hybrid algorithm and two other recently published algorithms (SPCA and emPCA) on synthetic data while it explains at least the same amount of variance, for a given level of sparsity, in two gene expression datasets used in previous studies of sparse PCA.A significant potential advantage of DMP is that it provides an estimate of the marginal likelihood which can be used for hyperparameter optimisation. We show that, for the single factor case, this estimate exhibits good qualitative agreement both with theoretical predictions and with the hyperparameter posterior inferred by a collapsed Gibbs sampler. Preliminary work on an extension to inference of multiple factors indicates its potential for selecting an optimal model from amongst candidates which differ both in numbers of factors and their levels of sparsity.

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Buchteile zum Thema "Slay The Spire"

Ishwaran, Hemant, and Ariadni Papana. "Orthogonalized smoothing for rescaled spike and slab models." In Institute of Mathematical Statistics Collections. Institute of Mathematical Statistics, 2008. http://dx.doi.org/10.1214/074921708000000192.

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Wu, Shengyi, Kaito Shimamura, Kohei Yoshikawa, Kazuaki Murayama, and Shuichi Kawano. "Variable Fusion for Bayesian Linear Regression via Spike-and-slab Priors." In Intelligent Decision Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2765-1_41.

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Ocejo, Richard E. "Growing Nightlife Scenes." In Upscaling Downtown. Princeton University Press, 2014. http://dx.doi.org/10.23943/princeton/9780691155166.003.0003.

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This chapter examines the role of the local government in influencing economic development and diminishing civic power in city neighborhoods. It begins with an episode from a public forum on quality-of-life issues held for downtown residents. The vignette shows the open hostility that residents direct at the CEO of the New York State Liquor Authority (SLA), the government agency that they blame for the development of nightlife in the neighborhood in spite of their protests. The chapter proceeds by discussing the policies behind the growth of downtown Manhattan's nightlife scenes, especially the SLA's liquor licensing that facilitated the proliferation of bars. It shows how this policy, which represents “urban entrepreneurialism,” sparked local unrest and led neighborhood residents to organize and protest bars. Residents consider the SLA and bar owners as complicit perpetrators in the destruction of their neighborhood and sense of community, and view themselves as victims of these policies.

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Blattner, Geraldine, and Justin P. White. "Leadership in Foreign Language Departments." In Encyclopedia of Strategic Leadership and Management. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1049-9.ch026.

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In spite of common beliefs in higher education, language departments may not be the best places to learn languages given that the majority of faculty specialize in literary and cultural studies and a minority specialize Linguistics (VanPatten, 2015). The Chair is the assigned leader in foreign language (FL) departments which is not a field specific position, regardless of the make-up of faculty profiles. However, one assigned/emergent leadership role is that of the Language Program Director (LPD) which has a related scientific field of its own: Second Language Acquisition (SLA), a subfield of linguistics whose empirical research findings fuel language-teaching decisions and innovations. Traditionally, nonetheless, this leadership role has been held by faculty out of discipline and thereby this role is often emergent in nature. The purpose of the present chapter is to discuss strategic leadership in the FL department, common misperceptions, and approaches for improvement to ensure a successful pedagogically sound future addressing many scholars' concerns.

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Konferenzberichte zum Thema "Slay The Spire"

Suo, Yuanming, Minh Dao, Trac Tran, Umamahesh Srinivas, and Vishal Monga. "Hierarchical sparse modeling using Spike and Slab priors." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638229.

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Monga, Vishal. "Sparsity constrained estimation via spike and slab priors." In 2017 51st Annual Conference on Information Sciences and Systems (CISS). IEEE, 2017. http://dx.doi.org/10.1109/ciss.2017.7926168.

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Serra, Juan G., Javier Mateos, Rafael Molina, and Aggelos K. Katsaggelos. "Spike and slab variational inference for blind image deconvolution." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296986.

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Fang, Shikai, Shandian Zhe, Kuang-chih Lee, Kai Zhang, and Jennifer Neville. "Online Bayesian Sparse Learning with Spike and Slab Priors." In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020. http://dx.doi.org/10.1109/icdm50108.2020.00023.

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Liu, Yuhang, Wenyong Dong, Wanjuan Song, and Lei Zhang. "Bayesian Nonnegative Matrix Factorization with a Truncated Spike-and-Slab Prior." In 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2019. http://dx.doi.org/10.1109/icme.2019.00251.

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Mousavi, Hojjat S., Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, and Trac D. Tran. "Multi-task image classification via collaborative, hierarchical spike-and-slab priors." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025860.

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Serra, Juan G., Javier Mateos, Rafael Molina, and Aggelos K. Katsaggelos. "Parameter estimation in spike and slab variational inference for blind image deconvolution." In 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017. http://dx.doi.org/10.23919/eusipco.2017.8081458.

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Kang, Jaewook, Hyoyoung Jung, Heung-No Lee, and Kiseon Kim. "One-dimensional piecewise-constant signal recovery via spike-and-slab approximate message-passing." In 2014 48th Asilomar Conference on Signals, Systems and Computers. IEEE, 2014. http://dx.doi.org/10.1109/acssc.2014.7094704.

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Tulip, John, Ben Bathgate, and Dwayne Dickey. "Large-area slab gas laser discharge." In SPIE Proceedings, edited by Krzysztof M. Abramski, Edward F. Plinski, and Wieslaw Wolinski. SPIE, 2003. http://dx.doi.org/10.1117/12.515466.

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Lizarraga-Medina, E. G., A. Oliver, G. V. Vázquez, R. Salas-Montiel, and H. Márquez. "Design of SiOx slab optical waveguides." In SPIE Nanoscience + Engineering, edited by Eva M. Campo, Elizabeth A. Dobisz, and Louay A. Eldada. SPIE, 2015. http://dx.doi.org/10.1117/12.2187121.

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Berichte der Organisationen zum Thema "Slay The Spire"

O'Connell, Heath B. SLAC/SPIRES Announces the Top-Cited Papers of 2000. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/799007.

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Rittenberg, A., F. E. Armstrong, B. S. Levine, et al. A user's guide to particle physics computer-searchable databases on the SLAC-SPIRES system. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/7020626.

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