text:
dynamic programming (DCDP) models opened up new frontiers for empirical research in a host of areas, including labor economics, industrial organization, economic demography, health economics, development economics, political economy and marketing. In this paper, we first describe the development of the DCDP framework, showing how it was a natural extension of static discrete choice modeling. We then summarize six papers that adopt the DCDP paradigm that address substantively important social and economic questions. Finally, we consider the issue of the credibility of empirical findings based on the structural estimation of DCDP models.},
	language = {en},
	number = {1},
	urldate = {2021-09-12},
	journal = {Review of Economic Dynamics},
	author = {Keane, Michael P. and Wolpin, Kenneth I.},
	month = jan,
	year = {2009},
	keywords = {Structural estimation, Discrete choice dynamic programming models, Policy evaluation},
	pages = {1--22},
	file = {ScienceDirect Snapshot:/Users/yulei/Zotero/storage/C4WKUWUE/S1094202508000318.html:text/html;Keane_Wolpin_2009_Empirical applications of discrete choice dynamic programming models.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Keane_Wolpin_2009_Empirical applications of discrete choice dynamic programming models.pdf:application/pdf},
}

@article{todd2006AssessingImpactSchool,
	title = {Assessing the {Impact} of a {School} {Subsidy} {Program} in {Mexico}: {Using} a {Social} {Experiment} to {Validate} a {Dynamic} {Behavioral} {Model} of {Child} {Schooling} and {Fertility}},
	volume = {96},
	issn = {0002-8282},
	shorttitle = {Assessing the {Impact} of a {School} {Subsidy} {Program} in {Mexico}},
	url = {https://www.aeaweb.org/articles?id=10.1257/aer.96.5.1384},
	doi = {10.1257/aer.96.5.1384},
	abstract = {This paper uses data from a randomized social experiment in Mexico to estimate
and validate a dynamic behavioral model of parental decisions about fertility and
child schooling, to evaluate the effects of the PROGRESA school subsidy program,
and to perform a variety of counterfactual experiments of policy alternatives. Our
method of validation estimates the model without using post-program data and then
compares the models predictions about program impacts to the experimental
impact estimates. The results show that the models predicted program impacts
track the experimental results. Our analysis of counterfactual policies reveals an
alternative subsidy schedule that would induce a greater impact on average school
attainment at similar cost to the existing program.},
	language = {en},
	number = {5},
	urldate = {2021-09-12},
	journal = {American Economic Review},
	author = {Todd, Petra E. and Wolpin, Kenneth I.},
	month = dec,
	year = {2006},
	keywords = {Analysis of Education, Education: Government Policy, Fertility, Child Care, Children, Family Planning, Human Development, Income Distribution, Migration, Youth, Economic Development: Human Resources},
	pages = {1384--1417},
	file = {Snapshot:/Users/yulei/Zotero/storage/NVWXYVX6/articles.html:text/html;Todd_Wolpin_2006_Assessing the Impact of a School Subsidy Program in Mexico.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Todd_Wolpin_2006_Assessing the Impact of a School Subsidy Program in Mexico.pdf:application/pdf},
}

@article{blundell2017WhatHaveWe,
	title = {What {Have} {We} {Learned} from {Structural} {Models}?},
	volume = {107},
	issn = {0002-8282},
	url = {https://pubs.aeaweb.org/doi/10.1257/aer.p20171116},
	doi = {10.1257/aer.p20171116},
	abstract = {A structural economic model is one where the structure of decision making is incorporated in the model specification. Structural models aim to identify three distinct, but related, objects: (i) structural “deep” parameters; (ii) underlying mechanisms; (iii) policy counterfactuals. The ability to provide counterfactual predictions sets structural models apart from reduced-form models. The focus is on studies that allow a better understanding of the mechanisms underlying observed behavior and that provide reliable insights about policy counterfactuals. Emphasis is given to models that minimize assumptions on the structural function and on unobserved heterogeneity and approaches that align structural and “reduced form” moments.},
	language = {en},
	number = {5},
	urldate = {2021-09-13},
	journal = {American Economic Review},
	author = {Blundell, Richard},
	month = may,
	year = {2017},
	pages = {287--292},
	file = {Blundell_2017_What Have We Learned from Structural Models.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Blundell_2017_What Have We Learned from Structural Models.pdf:application/pdf},
}

@misc{2021DynamicDiscreteChoice,
	title = {Dynamic discrete choice},
	copyright = {Creative Commons Attribution-ShareAlike License},
	url = {https://en.wikipedia.org/w/index.php?title=Dynamic_discrete_choice&oldid=1016923675},
	abstract = {Dynamic discrete choice (DDC) models, also known as discrete choice models of dynamic programming, model an agent's choices over discrete options that have future implications. Rather than assuming observed choices are the result of static utility maximization, observed choices in DDC models are assumed to result from an agent's maximization of the present value of utility, generalizing the utility theory upon which discrete choice models are based.The goal of DDC methods is to estimate the structural parameters of the agent's decision process. Once these parameters are known, the researcher can then use the estimates to simulate how the agent would behave in a counterfactual state of the world. (For example, how a prospective college student's enrollment decision would change in response to a tuition increase.)},
	language = {en},
	urldate = {2021-09-13},
	journal = {Wikipedia},
	month = apr,
	year = {2021},
	note = {Page Version ID: 1016923675},
	file = {Snapshot:/Users/yulei/Zotero/storage/49JBJGD9/index.html:text/html},
}

@article{aguirregabiria2010DynamicDiscreteChoice,
	series = {Structural {Models} of {Optimization} {Behavior} in {Labor}, {Aging}, and {Health}},
	title = {Dynamic discrete choice structural models: {A} survey},
	volume = {156},
	issn = {0304-4076},
	shorttitle = {Dynamic discrete choice structural models},
	url = {https://www.sciencedirect.com/science/article/pii/S0304407609001985},
	doi = {10.1016/j.jeconom.2009.09.007},
	abstract = {This paper reviews methods for the estimation of dynamic discrete choice structural models and discusses related econometric issues. We consider single-agent models, competitive equilibrium models and dynamic games. The methods are illustrated with descriptions of empirical studies which have applied these techniques to problems in different areas of economics. Programming codes for some of the estimation methods are available in a companion web page.},
	language = {en},
	number = {1},
	urldate = {2021-09-13},
	journal = {Journal of Econometrics},
	author = {Aguirregabiria, Victor and Mira, Pedro},
	month = may,
	year = {2010},
	keywords = {Discrete choice, Dynamic structural models, Estimation methods},
	pages = {38--67},
	file = {ScienceDirect Snapshot:/Users/yulei/Zotero/storage/AQYJIU82/S0304407609001985.html:text/html;Aguirregabiria_Mira_2010_Dynamic discrete choice structural models.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Aguirregabiria_Mira_2010_Dynamic discrete choice structural models.pdf:application/pdf},
}

@book{saltelli2004SensitivityAnalysisPractice,
	address = {Hoboken, NJ},
	title = {Sensitivity analysis in practice: a guide to assessing scientific models},
	isbn = {978-0-470-87093-8},
	shorttitle = {Sensitivity analysis in practice},
	language = {en},
	publisher = {Wiley},
	editor = {Saltelli, A.},
	year = {2004},
	keywords = {Sensitivity theory (Mathematics), SIMLAB, Simulation methods},
	file = {Saltelli_2004_Sensitivity analysis in practice.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Saltelli_2004_Sensitivity analysis in practice.pdf:application/pdf},
}

@techreport{andreylaunovStructuralEstimation,
	type = {Seminar announcement},
	title = {Structural {Estimation}},
	url = {https://www.blogs.uni-mainz.de/fb03-economics-macro/files/2018/11/se.pdf},
	urldate = {2021-09-14},
	author = {{Andrey Launov} and {Klaus Wälde}},
	file = {Andrey Launov_Klaus Wälde_Structural Estimation.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Andrey Launov_Klaus Wälde_Structural Estimation.pdf:application/pdf},
}

@misc{PhD524MinicourseStructural,
	title = {{PhD524} - {Mini}-course on {Structural} {Microeconometrics}},
	url = {https://pcw.hhs.se/courses/PhD524},
	abstract = {Description of course/module PhD524 at the Stockholm School of Economics},
	urldate = {2021-09-14},
	file = {Snapshot:/Users/yulei/Zotero/storage/PM4HHBBK/PhD524.html:text/html},
}

@techreport{LectureDynamicDiscrete,
	title = {Lecture: {Dynamic} {Discrete} {Choice}},
	url = {http://www.econ2.jhu.edu/people/hu/teaching/Lecture-Dynamic-Discrete-Choice.pdf},
	urldate = {2021-09-14},
	file = {Lecture.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Lecture.pdf:application/pdf},
}

@techreport{juannaschroterjoensen2018RESEARCHSTATEMENT,
	title = {{RESEARCH} {STATEMENT}},
	author = {{Juanna Schrøter Joensen}},
	year = {2018},
	file = {Juanna Schrøter Joensen - 2018 - RESEARCH STATEMENT.pdf:/Users/yulei/Zotero/storage/78F8EINE/Juanna Schrøter Joensen - 2018 - RESEARCH STATEMENT.pdf:application/pdf},
}

@article{ching2012PractitionerGuideBayesian,
	title = {A practitioner’s guide to {Bayesian} estimation of discrete choice dynamic programming models},
	volume = {10},
	issn = {1573-711X},
	url = {https://doi.org/10.1007/s11129-012-9119-6},
	doi = {10.1007/s11129-012-9119-6},
	abstract = {This paper provides a step-by-step guide to estimating infinite horizon discrete choice dynamic programming (DDP) models using a new Bayesian estimation algorithm (Imai et al., Econometrica 77:1865–1899, 2009a) (IJC). In the conventional nested fixed point algorithm, most of the information obtained in the past iterations remains unused in the current iteration. In contrast, the IJC algorithm extensively uses the computational results obtained from the past iterations to help solve the DDP model at the current iterated parameter values. Consequently, it has the potential to significantly alleviate the computational burden of estimating DDP models. To illustrate this new estimation method, we use a simple dynamic store choice model where stores offer “frequent-buyer” type rewards programs. Our Monte Carlo results demonstrate that the IJC method is able to recover the true parameter values of this model quite precisely. We also show that the IJC method could reduce the estimation time significantly when estimating DDP models with unobserved heterogeneity, especially when the discount factor is close to 1.},
	language = {en},
	number = {2},
	urldate = {2021-09-15},
	journal = {Quantitative Marketing and Economics},
	author = {Ching, Andrew T. and Imai, Susumu and Ishihara, Masakazu and Jain, Neelam},
	month = jun,
	year = {2012},
	pages = {151--196},
	file = {Springer Full Text PDF:/Users/yulei/Zotero/storage/BA6677Y2/Ching 等。 - 2012 - A practitioner’s guide to Bayesian estimation of d.pdf:application/pdf},
}

@article{kevinsummers1993MethodQuantifyingPrediction,
	title = {A method for quantifying the prediction uncertainties associated with water quality models},
	volume = {65},
	issn = {0304-3800},
	url = {https://www.sciencedirect.com/science/article/pii/0304380093900787},
	doi = {10.1016/0304-3800(93)90078-7},
	abstract = {Many environmental regulatory agencies depend, to a large extent, upon the use of models to organize, understand, and utilize the information available for regulatory decision making. In light of the extensive use of environmental models, we developed a general analytical protocol to quantify the prediction error associated with commonly used surface water quality models. The methodology is designed in order to compare water quality models configured to represent different levels of spatial, temporal, and mechanistic complexity. This comparison can be accomplished by fitting the models to a benchmark data set. Once the models are successfully fitted to the benchmark data, the prediction errors associated with each application can be quantified using the Monte Carlo simulation techniques. The application of the protocol using these simulation techniques is described in a companion paper in which comparisons among model uncertainty results are made using the Wilcoxon ranked sum test to determine significant differences.},
	language = {en},
	number = {3},
	urldate = {2021-09-19},
	journal = {Ecological Modelling},
	author = {Kevin Summers, J. and Wilson, Harold T. and Kou, Jingyee},
	month = feb,
	year = {1993},
	pages = {161--176},
	file = {ScienceDirect Snapshot:/Users/yulei/Zotero/storage/Z8JG6JQS/0304380093900787.html:text/html;Kevin Summers et al_1993_A method for quantifying the prediction uncertainties associated with water.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Kevin Summers et al_1993_A method for quantifying the prediction uncertainties associated with water.pdf:application/pdf},
}

@article{rust2014LimitsInferenceTheory,
	title = {The {Limits} of {Inference} with {Theory}: {A} {Review} of {Wolpin} (2013)},
	volume = {52},
	shorttitle = {The {Limits} of {Inference} with {Theory}},
	doi = {10.1257/jel.52.3.820},
	abstract = {This essay reviews Kenneth I. Wolpin's (2013) monograph The Limits of Inference without Theory, which arose from lectures he presented at the Cowles Foundation in 2010 in honor of Tjalling Koopmans. While I readily agree with Wolpin's basic premise that empirical work that eschews the role of economic theory faces unnecessary self-imposed limits relative to empirical work that embraces and tries to test and improve economic theory, it is important to be aware that the use of economic theory is not a panacea. I point out that there are also serious limits to inference with theory: 1) there may be no truly “structural” (policy invariant) parameters, a key assumption underpinning the structural econometric approach that Wolpin and the Cowles Foundation have championed; 2) there is a curse of dimensionality that makes it very difficult for us to elucidate the detailed implications of economic theo- ries, which is necessary to empirically implement and test these theories; 3) there is an identification problem that makes it impossible to decide between competing theories without imposing ad hoc auxiliary assumptions (such as parametric functional form assumptions); and 4) there is a problem of multiplicity and indeterminacy of equilib- ria that limits the predictive empirical content of many economic theories. I conclude that though these are very challenging problems, I agree with Wolpin and the Cowles Foundation that economists have far more to gain by trying to incorporate economic theory into empirical work and test and improve our theories than by rejecting theory and presuming that all interesting economic issues can be answered by well-designed controlled, randomized experiments and assuming that difficult questions of causality and evaluation of alternative hypothetical policies can be resolved by simply allowing the “data to speak for itself.”},
	journal = {Journal of Economic Literature},
	author = {Rust, John},
	month = sep,
	year = {2014},
	file = {Rust_2014_The Limits of Inference with Theory.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Rust_2014_The Limits of Inference with Theory.pdf:application/pdf},
}

@article{berry1995AutomobilePricesMarket,
	title = {Automobile {Prices} in {Market} {Equilibrium}},
	volume = {63},
	issn = {0012-9682},
	url = {https://www.jstor.org/stable/2171802},
	doi = {10.2307/2171802},
	abstract = {This paper develops techniques for empirically analyzing demand and supply in differentiated products markets and then applies these techniques to analyze equilibrium in the U.S. automobile industry. Our primary goal is to present a framework which enables one to obtain estimates of demand and cost parameters for a class of oligopolistic differentiated products markets. These estimates can be obtained using only widely available product-level and aggregate consumer-level data, and they are consistent with a structural model of equilibrium in an oligopolistic industry. When we apply the techniques developed here to the U.S. automobile market, we obtain cost and demand parameters for (essentially) all models marketed over a twenty year period.},
	number = {4},
	urldate = {2021-09-19},
	journal = {Econometrica},
	author = {Berry, Steven and Levinsohn, James and Pakes, Ariel},
	year = {1995},
	note = {Publisher: [Wiley, Econometric Society]},
	pages = {841--890},
	file = {Berry et al_1995_Automobile Prices in Market Equilibrium.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Berry et al_1995_Automobile Prices in Market Equilibrium.pdf:application/pdf},
}

@article{bayer2016DynamicModelDemand,
	title = {A {Dynamic} {Model} of {Demand} for {Houses} and {Neighborhoods}},
	volume = {84},
	issn = {1468-0262},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.3982/ECTA10170},
	doi = {10.3982/ECTA10170},
	abstract = {This paper develops a dynamic model of neighborhood choice along with a computationally light multi-step estimator. The proposed empirical framework captures observed and unobserved preference heterogeneity across households and locations in a flexible way. We estimate the model using a newly assembled data set that matches demographic information from mortgage applications to the universe of housing transactions in the San Francisco Bay Area from 1994 to 2004. The results provide the first estimates of the marginal willingness to pay for several non-marketed amenities—neighborhood air pollution, violent crime, and racial composition—in a dynamic framework. Comparing these estimates with those from a static version of the model highlights several important biases that arise when dynamic considerations are ignored.},
	language = {en},
	number = {3},
	urldate = {2021-09-19},
	journal = {Econometrica},
	author = {Bayer, Patrick and McMillan, Robert and Murphy, Alvin and Timmins, Christopher},
	year = {2016},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.3982/ECTA10170},
	keywords = {amenities, dynamic discrete choice, hedonic valuation, housing demand, Neighborhood choice, residential sorting, unobserved heterogeneity},
	pages = {893--942},
	file = {Snapshot:/Users/yulei/Zotero/storage/2PNKHTIJ/ECTA10170.html:text/html;Bayer et al_2016_A Dynamic Model of Demand for Houses and Neighborhoods.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Bayer et al_2016_A Dynamic Model of Demand for Houses and Neighborhoods.pdf:application/pdf},
}

@article{rudik2020OptimalClimatePolicy,
	title = {Optimal {Climate} {Policy} {When} {Damages} {Are} {Unknown}},
	volume = {12},
	issn = {1945-7731},
	url = {https://www.aeaweb.org/articles?id=10.1257/pol.20160541},
	doi = {10.1257/pol.20160541},
	abstract = {Integrated assessment models (IAMs) are economists' primary tool for analyzing the optimal carbon tax. Damage functions, which link temperature to economic impacts, have come under fire because of their assumptions that may be incorrect in significant but a priori unknowable ways. Here I develop recursive IAM frameworks to model uncertainty, learning, and concern for misspecification about damages. I decompose the carbon tax into channels capturing state uncertainty, insurance motives, and precautionary saving. Damage learning improves ex ante welfare by 750 billion USD. If damage functions are misspecified and omit the potential for catastrophic damages, robust control may be beneficial ex post.},
	language = {en},
	number = {2},
	urldate = {2021-09-19},
	journal = {American Economic Journal: Economic Policy},
	author = {Rudik, Ivan},
	month = may,
	year = {2020},
	keywords = {Environmental Taxes and Subsidies, Climate, Global Warming, Environmental Economics: Government Policy, Natural Disasters and Their Management, Redistributive Effects, Taxation and Subsidies: Externalities},
	pages = {340--373},
	file = {Snapshot:/Users/yulei/Zotero/storage/5LPXAB4E/articles.html:text/html;Rudik_2020_Optimal Climate Policy When Damages Are Unknown.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Rudik_2020_Optimal Climate Policy When Damages Are Unknown.pdf:application/pdf},
}

@article{eckstein1989DynamicLabourForce,
	title = {Dynamic {Labour} {Force} {Participation} of {Married} {Women} and {Endogenous} {Work} {Experience}},
	volume = {56},
	issn = {0034-6527},
	url = {https://www.jstor.org/stable/2297553},
	doi = {10.2307/2297553},
	abstract = {This paper presents and estimates a dynamic model of married women's labour force participation and fertility in which the effect of work experience on wages is explicitly taken into account. Because current participation alters future potential earnings, the investment return to work will be an important factor in the current work decision in any forward-looking behavioural model. The model is estimated using the National Longitudinal Surveys mature women's cohort. We use the estimates of our model to predict changes in the lifecycle patterns of employment due to changes in schooling, fertility, husband's income, and the magnitude of the experience effect on wages. We find that although work experience increases the disutility of further work, the effect is overwhelmed by the positive effect of experience on wages, leading to persistence in the employment patterns of these women. In addition we find that an increase in young children and in husband's income substantially reduces participation while increased schooling has a powerful positive impact on participation. \_pg 375-390},
	number = {3},
	urldate = {2021-09-20},
	journal = {The Review of Economic Studies},
	author = {Eckstein, Zvi and Wolpin, Kenneth I.},
	year = {1989},
	note = {Publisher: [Oxford University Press, Review of Economic Studies, Ltd.]},
	pages = {375--390},
	file = {Eckstein_Wolpin_1989_Dynamic Labour Force Participation of Married Women and Endogenous Work.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Eckstein_Wolpin_1989_Dynamic Labour Force Participation of Married Women and Endogenous Work.pdf:application/pdf},
}

@article{leamer1985SensitivityAnalysesWoulda,
	title = {Sensitivity {Analyses} {Would} {Help}},
	volume = {75},
	issn = {0002-8282},
	url = {https://www.jstor.org/stable/1814801},
	number = {3},
	urldate = {2021-09-20},
	journal = {The American Economic Review},
	author = {Leamer, Edward E.},
	year = {1985},
	note = {Publisher: American Economic Association},
	pages = {308--313},
}

@article{backus1992InternationalRealBusiness,
	title = {International {Real} {Business} {Cycles}},
	volume = {100},
	url = {https://ideas.repec.org/a/ucp/jpolec/v100y1992i4p745-75.html},
	abstract = {The authors ask whether a two-country business cycle model can account simultaneously for domestic and international aspects of business cycles. With this question in mind, the authors document a number of discrepancies between theory and data. The most striking discrepancy concerns the correlations of consumption and output across countries. In this data, outputs are generally more highly correlated across countries than consumptions. In the model they see the opposite. Copyright 1992 by University of Chicago Press.},
	language = {en},
	number = {4},
	urldate = {2021-09-20},
	journal = {Journal of Political Economy},
	author = {Backus, David K. and Kehoe, Patrick J. and Kydland, Finn E.},
	year = {1992},
	note = {Publisher: University of Chicago Press},
	pages = {745--775},
	file = {Snapshot:/Users/yulei/Zotero/storage/DIF5LHFA/v100y1992i4p745-75.html:text/html},
}

@article{canova1994StatisticalInferenceCalibrated,
	title = {Statistical inference in calibrated models},
	volume = {9},
	issn = {1099-1255},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/jae.3950090508},
	doi = {10.1002/jae.3950090508},
	abstract = {This paper describes a Monte Carlo procedure to assess the performance of calibrated dynamic general equilibrium models. The procedure formalizes the choice of parameters and the evaluation of the model and provides an efficient way to conduct a sensitivity analysis for perturbations of the parameters within a reasonable range. As an illustration the methodology is applied to two problems: the equity premium puzzle and how much of the variance of actual US output is explained by a real business cycle model.},
	language = {en},
	number = {S1},
	urldate = {2021-09-20},
	journal = {Journal of Applied Econometrics},
	author = {Canova, Fabio},
	year = {1994},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jae.3950090508},
	pages = {S123--S144},
	file = {Snapshot:/Users/yulei/Zotero/storage/HPNWSTCS/jae.html:text/html;Canova_1994_Statistical inference in calibrated models.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Canova_1994_Statistical inference in calibrated models.pdf:application/pdf},
}

@article{ransomModelFitValidation,
	title = {Model {Fit}, {Validation} and {Counterfactual} {Simulations}},
	language = {en},
	author = {Ransom, Tyler},
	pages = {25},
	file = {Ransom - Model Fit, Validation and Counterfactual Simulatio.pdf:/Users/yulei/Zotero/storage/8BVMD5QU/Ransom - Model Fit, Validation and Counterfactual Simulatio.pdf:application/pdf},
}

@techreport{arcidiacono2016CollegeAttritionDynamics,
	type = {Working {Paper}},
	title = {College {Attrition} and the {Dynamics} of {Information} {Revelation}},
	url = {https://www.nber.org/papers/w22325},
	abstract = {This paper investigates the role played by informational frictions in college and the workplace. We estimate a dynamic structural model of schooling and work decisions, where individuals have imperfect information about their schooling ability and labor market productivity. We take into account the heterogeneity in schooling investments by distinguishing between two- and four-year colleges, graduate school, as well as science and non-science majors for four-year colleges. Individuals may also choose whether to work full-time, part-time, or not at all. A key feature of our approach is to account for correlated learning through college grades and wages, whereby individuals may leave or re-enter college as a result of the arrival of new information on their ability and productivity. Our findings indicate that the elimination of informational frictions would increase the college graduation rate by 9 percentage points, and would increase the college wage premium by 32.7 percentage points through increased sorting on ability.},
	number = {22325},
	urldate = {2021-09-21},
	institution = {National Bureau of Economic Research},
	author = {Arcidiacono, Peter and Aucejo, Esteban and Maurel, Arnaud and Ransom, Tyler},
	month = jun,
	year = {2016},
	doi = {10.3386/w22325},
	note = {Series: Working Paper Series},
	file = {Arcidiacono et al_2016_College Attrition and the Dynamics of Information Revelation.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Arcidiacono et al_2016_College Attrition and the Dynamics of Information Revelation.pdf:application/pdf},
}

@article{martin2007AssessingPreferenceChange,
	title = {Assessing {Preference} {Change} on the {US} {Supreme} {Court}},
	volume = {23},
	issn = {8756-6222},
	url = {https://doi.org/10.1093/jleo/ewm028},
	doi = {10.1093/jleo/ewm028},
	abstract = {The foundation upon which accounts of policy-motivated behavior of Supreme Court justices are built consists of assumptions about the policy preferences of the justices. To date, most scholars have assumed that the policy positions of Supreme Court justices remain consistent throughout the course of their careers and most measures of judicial ideology—such as Segal and Cover scores—are time invariant. On its face, this assumption is reasonable; Supreme Court justices serve with life tenure and are typically appointed after serving in other political or judicial roles. However, it is also possible that the worldviews, and thus the policy positions, of justices evolve through the course of their careers. In this article we use a Bayesian dynamic ideal point model to investigate preference change on the US Supreme Court. The model allows for justices' ideal points to change over time in a smooth fashion. We focus our attention on the 16 justices who served for 10 or more terms and completed their service between the 1937 and 2003 terms. The results are striking—14 of these 16 justices exhibit significant preference change. This has profound implications for the use of time-invariant preference measures in applied work.},
	number = {2},
	urldate = {2021-09-22},
	journal = {The Journal of Law, Economics, and Organization},
	author = {Martin, Andrew D. and Quinn, Kevin M.},
	month = jun,
	year = {2007},
	pages = {365--385},
	file = {Snapshot:/Users/yulei/Zotero/storage/YRRVY26Z/893206.html:text/html;Martin_Quinn_2007_Assessing Preference Change on the US Supreme Court.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Martin_Quinn_2007_Assessing Preference Change on the US Supreme Court.pdf:application/pdf},
}

@article{benke2008ParameterUncertaintySensitivity,
	title = {Parameter uncertainty, sensitivity analysis and prediction error in a water-balance hydrological model},
	volume = {47},
	issn = {0895-7177},
	url = {https://www.sciencedirect.com/science/article/pii/S0895717707002373},
	doi = {10.1016/j.mcm.2007.05.017},
	abstract = {Analysis of uncertainty is often neglected in the evaluation of complex systems models, such as computational models used in hydrology or ecology. Prediction uncertainty arises from a variety of sources, such as input error, calibration accuracy, parameter sensitivity and parameter uncertainty. In this study, various computational approaches were investigated for analysing the impact of parameter uncertainty on predictions of streamflow for a water-balance hydrological model used in eastern Australia. The parameters and associated equations which had greatest impact on model output were determined by combining differential error analysis and Monte Carlo simulation with stochastic and deterministic sensitivity analysis. This integrated approach aids in the identification of insignificant or redundant parameters and provides support for further simplifications in the mathematical structure underlying the model. Parameter uncertainty was represented by a probability distribution and simulation experiments revealed that the shape (skewness) of the distribution had a significant effect on model output uncertainty. More specifically, increasing negative skewness of the parameter distribution correlated with decreasing width of the model output confidence interval (i.e. resulting in less uncertainty). For skewed distributions, characterisation of uncertainty is more accurate using the confidence interval from the cumulative distribution rather than using variance. The analytic approach also identified the key parameters and the non-linear flux equation most influential in affecting model output uncertainty.},
	language = {en},
	number = {11},
	urldate = {2021-09-22},
	journal = {Mathematical and Computer Modelling},
	author = {Benke, Kurt K. and Lowell, Kim E. and Hamilton, Andrew J.},
	month = jun,
	year = {2008},
	keywords = {2C, 2CSalt, Complex systems, Error propagation, Hydrological model, Monte Carlo simulation, Risk, Sensitivity analysis, Uncertainty},
	pages = {1134--1149},
	file = {ScienceDirect Snapshot:/Users/yulei/Zotero/storage/3E35LCK3/S0895717707002373.html:text/html;Benke et al_2008_Parameter uncertainty, sensitivity analysis and prediction error in a.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Benke et al_2008_Parameter uncertainty, sensitivity analysis and prediction error in a.pdf:application/pdf},
}

@article{mcdonald2010StructuralModelsArt,
	title = {Structural {Models} and the {Art} of {Approximation}},
	volume = {5},
	issn = {1745-6916},
	url = {https://www.jstor.org/stable/41613584},
	abstract = {Structural equation models have provided a seemingly rigorous method for investigating causal relations in nonexperimental data in the presence of measurement error or multiple measures of putative causes or effects. Methods have been developed for fitting these very complex models globally and obtaining global fit statistics or global measures of their approximation to sample data. Structural equation models are idealizations that can serve only as approximations to real multivariate data. Further, these models are multidimensional, and the approximation is itself multidimensional. Tests of "significance" and global indices of approximation do not provide an adequate basis for judging the acceptability of the approximation. Standard applications of structural models use a composite of two models—a measurement (path) model and a path (causal) model. Separate analyses of the measurement model and the path model provide an informed judgment, whereas the composite global analysis can easily yield unreasonable conclusions. Separating the component models enables a careful assessment of the actual constraints implied by the path model, using recently developed methods. An empirical example shows how the conventional global treatment yields unacceptable conclusions.},
	number = {6},
	urldate = {2021-09-22},
	journal = {Perspectives on Psychological Science},
	author = {McDonald, Roderick P.},
	year = {2010},
	note = {Publisher: [Association for Psychological Science, Sage Publications, Inc.]},
	pages = {675--686},
}

@article{saltelli2005SensitivityAnalysisChemical,
	title = {Sensitivity {Analysis} for {Chemical} {Models}},
	volume = {105},
	issn = {0009-2665, 1520-6890},
	url = {https://pubs.acs.org/doi/10.1021/cr040659d},
	doi = {10.1021/cr040659d},
	language = {en},
	number = {7},
	urldate = {2021-09-22},
	journal = {Chemical Reviews},
	author = {Saltelli, Andrea and Ratto, Marco and Tarantola, Stefano and Campolongo, Francesca},
	month = jul,
	year = {2005},
	pages = {2811--2828},
	file = {Saltelli 等。 - 2005 - Sensitivity Analysis for Chemical Models.pdf:/Users/yulei/Zotero/storage/Y5X7T6HJ/Saltelli 等。 - 2005 - Sensitivity Analysis for Chemical Models.pdf:application/pdf},
}

@article{boulore2012UncertaintySensitivityAnalysis,
	series = {{SI} : {CFD4NRS}-3},
	title = {Uncertainty and sensitivity analysis of the nuclear fuel thermal behavior},
	volume = {253},
	issn = {0029-5493},
	url = {https://www.sciencedirect.com/science/article/pii/S0029549312004487},
	doi = {10.1016/j.nucengdes.2012.08.017},
	abstract = {In the global framework of nuclear fuel behavior simulation, the response of the models describing the physical phenomena occurring during the irradiation in reactor is mainly conditioned by the confidence in the calculated temperature of the fuel. Amongst all parameters influencing the temperature calculation in our fuel rod simulation code (METEOR V2), several sources of uncertainty have been identified as being the most sensitive: thermal conductivity of UO2, radial distribution of power in the fuel pellet, local linear heat rate in the fuel rod, geometry of the pellet and thermal transfer in the gap. Expert judgment and inverse methods have been used to model the uncertainty of these parameters using theoretical distributions and correlation matrices. Propagation of these uncertainties in the METEOR V2 code using the URANIE framework and a Monte-Carlo technique has been performed in different experimental irradiations of UO2 fuel. At every time step of the simulated experiments, we get a temperature statistical distribution which results from the initial distributions of the uncertain parameters. We then can estimate confidence intervals of the calculated temperature. In order to quantify the sensitivity of the calculated temperature to each of the uncertain input parameters and data, we have also performed a sensitivity analysis using the Sobol’ indices at first order.},
	language = {en},
	urldate = {2021-09-22},
	journal = {Nuclear Engineering and Design},
	author = {Bouloré, A. and Struzik, C. and Gaudier, F.},
	month = dec,
	year = {2012},
	pages = {200--210},
	file = {ScienceDirect Snapshot:/Users/yulei/Zotero/storage/69HW39AM/S0029549312004487.html:text/html;Bouloré et al_2012_Uncertainty and sensitivity analysis of the nuclear fuel thermal behavior.pdf:/Users/yulei/Dropbox/ZoteroAttachments/master thesis/Bouloré et al_2012_Uncertainty and sensitivity analysis of the nuclear fuel thermal behavior.pdf:application/pdf},
}

@article{sauer2004EducationalFinancingLifetime,
	title = {Educational {Financing} and {Lifetime} {Earnings}},
	volume = {71},
	issn = {0034-6527},
	url = {https://doi.org/10.1111/0034-6527.00319},
	doi = {10.1111/0034-6527.00319},
	abstract = {This paper formulates and estimates a dynamic programming model of optimal educational financing decisions. The main purpose of the paper is to measure the effect of short-term parental cash transfers, received during school, on educational borrowing and in-school work decisions, and on post-graduation lifetime earnings. The estimated parameters of the model imply that parental cash transfers do not significantly influence post-graduation lifetime earnings. Long-term factors such as family background and prior human capital investments are more important. Parental cash transfers do, however, significantly determine the decision to borrow or work during school and the level of lifetime consumption.},
	number = {4},
	urldate = {2021-09-23},
	journal = {The Review of Economic Studies},
	author = {Sauer, Robert M.},
	month = oct,
	year = {2004},
	pages = {1189--1216},
	file = {已提交版本:/Users/yulei/Zotero/storage/JSA4RUK9/Sauer - 2004 - Educational Financing and Lifetime Earnings.pdf:application/pdf;Snapshot:/Users/yulei/Zotero/storage/THRRGTKN/1566110.html:text/html},
}


text:
# see https://forums.unrealengine.com/t/compiling-libraries-in-linux/400275
# see https://forums.unrealengine.com/t/ue4-linux-use-libcxx-0-fails-to-compile/478297
# see https://forums.unrealengine.com/t/using-bundled-libc-in-thirdparty/427863

set(CMAKE_POSITION_INDEPENDENT_CODE ON)

set(CMAKE_CXX_FLAGS "-nostdinc++ -nodefaultlibs -I$ENV{UNREAL_ENGINE}/Engine/Source/ThirdParty/Unix/LibCxx/include/ -I$ENV{UNREAL_ENGINE}/Engine/Source/ThirdParty/Unix/LibCxx/include/c++/v1 ${CMAKE_CXX_FLAGS}")
set(CMAKE_CXX_STANDARD_LIBRARIES "-lpthread -lm -lc -lgcc_s -lgcc $ENV{UNREAL_ENGINE}/Engine/Source/ThirdParty/Unix/LibCxx/lib/Unix/x86_64-unknown-linux-gnu/libc++.a)

repository: heroiclabs/nakama-unreal

license_type: permissive

repo_name: heroiclabs/nakama-unreal

branch_name: refs/heads/master

extension: cmake


text:
package main

import (
	"net/http"
	"net/http/httptest"
	"testing"
)

func TestGETPlayers(t *testing.T) {
	request, _ := http.NewRequest(http.MethodGet, "/", nil)
	response := httptest.NewRecorder()

	PlayerServer(response, request)

	t.Run("returns Pepper's score", func(t *testing.T) {
		got := response.Body.String()
		want := "20"

		if got != want {
			t.Errorf("got %q, want %q", got, want)
		}
	})

}

license: MIT

repository: quii/learn-go-with-tests

repo_name: quii/learn-go-with-tests

branch_name: refs/heads/main

gha_license_id: MIT

gha_language: Go

extension: go


text:
# - FindSciPng: Module to find include directories and
#   libraries for Png.
#
# Module usage:
#   find_package(SciPng ...)
#
# This module will define the following variables:
#  HAVE_PNG, PNG_FOUND = Whether libraries and includes are found
#  Png_INCLUDE_DIRS       = Location of Png includes
#  Png_LIBRARY_DIRS       = Location of Png libraries
#  Png_LIBRARIES          = Required libraries

######################################################################
#
# SciFindPng: find includes and libraries for z(compression)
#
# $Id: FindSciPng.cmake 792 2015-04-17 14:07:44Z jrobcary $
#
# Copyright 2010-2015, Tech-X Corporation, Boulder, CO.
# See LICENSE file (EclipseLicense.txt) for conditions of use.
#
#
######################################################################

SciFindPackage(
  PACKAGE "Png"
  INSTALL_DIRS libpng-sersh
  HEADERS png.h
  LIBRARIES "png"
)

if (PNG_FOUND)
  set(HAVE_PNG 1 CACHE BOOL "Whether have the Png (compression) library")
else ()
  message(STATUS "Did not find Png (compression) library.")
  if (SciPng_FIND_REQUIRED)
    message(FATAL_ERROR "Failed.")
  endif ()
endif ()

repository: UKFELs/Puffin

repo_name: UKFELs/Puffin

gha_license_id: NOASSERTION

gha_language: Fortran


text:
require python.inc
DEPENDS = "openssl-native bzip2-full-native zlib-native readline-native"
PR = "${INC_PR}.3"

SRC_URI = "\
  http://www.python.org/ftp/python/${PV}/Python-${PV}.tar.bz2 \
  file://00-fix-bindir-libdir-for-cross.patch \
  file://04-default-is-optimized.patch \
  file://05-enable-ctypes-cross-build.patch \
  file://10-distutils-fix-swig-parameter.patch \
  file://11-distutils-never-modify-shebang-line.patch \
  file://12-distutils-prefix-is-inside-staging-area.patch \
  file://debug.patch \
  file://nohostlibs.patch \
"
S = "${WORKDIR}/Python-${PV}"

inherit native

EXTRA_OEMAKE = '\
  BUILD_SYS="" \
  HOST_SYS="" \
  LIBC="" \
  STAGING_LIBDIR=${STAGING_LIBDIR_NATIVE} \
  STAGING_INCDIR=${STAGING_INCDIR_NATIVE} \
'

do_install_append() {
	install -m 0755 Parser/pgen ${D}${bindir}/pgen
}

SRC_URI[md5sum] = "e81c2f0953aa60f8062c05a4673f2be0"
SRC_URI[sha256sum] = "cf153f10ba6312a8303ceb01bed834a2786d28aa89c7d73dba64714f691628f6"

repository: trini/openembedded

repo_name: trini/openembedded

extension: bb


text:
%% This BibTeX bibliography file was created using BibDesk.
%% https://bibdesk.sourceforge.io/

%% Created for POOJA BANSAL at 2019-03-06 21:02:03 +0100

%% Saved with string encoding Unicode (UTF-8)

@article{Arias,
	Author = {Diaz, O.Arias and D.Tudela},
	Date-Added = {2019-03-05 14:48:05 +0000},
	Date-Modified = {2019-03-05 14:49:49 +0000},
	Title = {Does Perseverance Pay as Much as Being Smart?: The Returns to Cognitive and Non-cognitive Skills in urban Peru},
	Year = {2016}}

@article{Howell,
	Author = {D. Howell and E. Wolf},
	Date-Added = {2019-03-05 14:47:22 +0000},
	Date-Modified = {2019-03-05 14:47:46 +0000},
	Journal = {ILR Review},
	Title = {Trends in the Growth and Distribution of Skills in the U.S. Workplace},
	Year = {1991}}

@article{Bound,
	Author = {J. Bound and Z Griliches and BH. Hall},
	Date-Added = {2019-03-05 14:45:58 +0000},
	Date-Modified = {2019-03-05 14:47:05 +0000},
	Journal = {International Economic Review},
	Title = {Wages, schooling and IQ of brothers and sisters: Do the family factors differ?},
	Year = {1986}}

@article{Osborn,
	Author = {Samuel Bowles and Herbert Gintis and Melissa Osborne},
	Date-Added = {2019-03-05 14:44:06 +0000},
	Date-Modified = {2019-03-05 14:44:55 +0000},
	Title = {The Determinants of Earnings: A Behavioral Approach},
	Year = {2001}}

@article{ILAS,
	Author = {Prof. Dr. Stefan Wrobel and Dr. Tamas Horvath, Dr. Krisztian Buza},
	Date-Added = {2019-03-05 10:33:17 +0000},
	Date-Modified = {2019-03-05 11:18:43 +0000},
	Journal = {Lecture Slides, University of Bonn and Fraunhofer IAIS},
	Title = {Intelligent Learning and Analysis Systems}}

@article{Mason,
	Author = {Z. Griliches and W. Mason},
	Date-Added = {2019-03-05 09:51:26 +0000},
	Date-Modified = {2019-03-06 20:02:00 +0000},
	Title = {Education, Income, and Ability", Journal of Political Economy},
	Year = {1972}}

@article{Chow,
	Author = {E. Johnson and G. Chow},
	Date-Added = {2019-03-05 09:50:26 +0000},
	Date-Modified = {2019-03-05 11:27:21 +0000},
	Journal = {Pacific Economic Review},
	Title = {Rates of Return to Schooling in China},
	Year = {1997}}

@article{Birnbaum,
	Author = {Birnbaum, H},
	Date-Added = {2019-03-05 09:49:14 +0000},
	Date-Modified = {2019-03-05 11:26:02 +0000},
	Journal = {Southern Economic Review},
	Title = {Career origins, on-the-job training, and earnings},
	Year = {1976}}

@article{Stewart,
	Author = {M. Stewart},
	Date-Added = {2019-03-05 09:47:58 +0000},
	Date-Modified = {2019-03-05 11:40:28 +0000},
	Journal = {Centre for Labour Economic Discussion Papers},
	Title = {he determinants of earnings in Britain: An occupation-specific approach},
	Year = {1977}}

@article{Knight,
	Author = {J. de Beyer and J. Knight},
	Date-Added = {2019-03-05 09:43:53 +0000},
	Date-Modified = {2019-03-05 11:27:02 +0000},
	Journal = {Oxford Economic Papers,},
	Title = {The role of occupation in the determination of wages},
	Year = {1989}}

@article{Edwards,
	Author = {Rick Edwards},
	Date-Added = {2019-03-05 09:41:42 +0000},
	Date-Modified = {2019-03-05 11:26:23 +0000},
	Journal = {Journal of Human Resources},
	Title = {Individual Traits and Organiza- tional Incentives: What Makes A 'Good' Worker?},
	Year = {1976}}

@article{Urzua,
	Author = {J. Heckman Stixrud and S. Urzua},
	Date-Added = {2019-03-05 09:37:23 +0000},
	Date-Modified = {2019-03-05 11:41:10 +0000},
	Journal = {National Bureau of Economic Research},
	Title = {The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior},
	Year = {2006}}

@article{Gintis,
	Author = {B. Cosin and S. Bowles and H Gintis},
	Date-Added = {2019-03-05 09:36:01 +0000},
	Date-Modified = {2019-03-05 11:40:48 +0000},
	Journal = {The British Journal of Sociology},
	Title = {Schooling in Capitalist America},
	Year = {1979}}

@article{zax,
	Author = {Zax, J. S. and D. I. Rees},
	Date-Added = {2019-03-05 09:34:42 +0000},
	Date-Modified = {2019-03-05 11:26:54 +0000},
	Journal = {Review of Economics and Statistics},
	Title = {IQ, academic performance, environment, and earnings},
	Year = {2002}}

@article{heckman,
	Author = {J. Cawley and J. Heckman and E. Vytlacil},
	Date-Added = {2019-03-05 09:33:47 +0000},
	Date-Modified = {2019-03-05 11:41:45 +0000},
	Journal = {Labour Economics},
	Title = {Three observations on wages and measured cognitive ability},
	Year = {2001}}

@article{farkas,
	Author = {Farkas, P. England, K. Vicknair and B. Kilbourne},
	Date-Added = {2019-03-05 09:31:37 +0000},
	Date-Modified = {2019-03-05 11:26:06 +0000},
	Journal = {Social Forces},
	Title = {Cognitive Skill, Skill Demands of Jobs, and Earnings among Young European American, African American, and Mexican American Workers},
	Year = {1997}}

@article{levy,
	Author = {R.Murnane and J.Willett and F. Levy},
	Date-Added = {2019-03-05 09:30:39 +0000},
	Date-Modified = {2019-03-05 11:41:20 +0000},
	Journal = {MA: National Bureau of Economic Research},
	Title = {The growing importance of cognitive skills in wage determination},
	Year = {1995}}

@article{heineck,
	Author = {S. Anger and G. Heineck},
	Date-Added = {2019-03-05 09:25:05 +0000},
	Date-Modified = {2019-03-05 11:26:12 +0000},
	Journal = {OEP papers on Multidisciplinary Panel Data Research},
	Title = {Do Smart Parents Raise Smart Children? The Intergenerational Transmission of Cognitive Abilities},
	Year = {2010}}

@book{Arbuckle10,
	Address = {Birmingham, UK},
	Author = {Daniel Arbuckle},
	Publisher = {Packt Publishing},
	Title = {Python Testing: Beginner's Guide},
	Year = {2010}}

@article{Baiocchi07,
	Author = {Baiocchi, Giovanni},
	Journal = {Computational Economics},
	Month = {August},
	Number = {1},
	Pages = {19-40},
	Title = {Reproducible research in computational economics: guidelines, integrated approaches, and open source software},
	Volume = {30},
	Year = {2007}}

@article{Barnes10,
	Author = {Nick Barnes},
	Journal = {Nature},
	Month = {October},
	Pages = {753},
	Title = {Publish Your Computer Code: It is Good Enough},
	Volume = {467},
	Year = {2010}}

@book{Barr04,
	Author = {Adam Barr},
	Publisher = {Addison Wesley},
	Title = {Find the Bug. A Book of Incorrect Programs},
	Year = {2004}}

@unpublished{Brandl10,
	Author = {Georg Brandl},
	Month = {July},
	Note = {Available at \url{http://sphinx.pocoo.org/}},
	Title = {Sphinx Documentation},
	Year = {2010}}

@book{CampbellEtAl09,
	Author = {Jennifer Campbell and Paul Gries and Jason Montojo and Gregory V. Wilson},
	Editor = {Daniel H. Steinberg},
	Publisher = {The Pragmatic Programmers},
	Series = {Practical Programming},
	Title = {An Introduction to Computer Science Using {Python}},
	Year = {2009}}

@article{Dubois05,
	Author = {Paul F. Dubois},
	Journal = {Computing in Science \& Engineering},
	Number = {3},
	Pages = {80-85},
	Title = {Maintaining correctness in scientific programs},
	Volume = {7},
	Year = {2005}}

@book{FreemanPryce10,
	Address = {Boston, MA, USA},
	Author = {Steve Freeman and Nat Pryce},
	Publisher = {Addison Wesley},
	Title = {Growing Object-Oriented Software, Guided by Tests},
	Year = {2010}}

@unpublished{GaudeckerEconProjectTemplates,
	Author = {Hans-Martin von Gaudecker},
	Note = {\url{https://doi.org/10.5281/zenodo.2533241}},
	Title = {Templates for Reproducible Research Projects in Economics},
	Year = {2019}}

@article{KellyHookSanders09,
	Author = {Diane Kelly and D. Hook and Rebecca Sanders},
	Journal = {Computing in Science \& Engineering},
	Number = {5},
	Pages = {48-53},
	Title = {Five Recommended Practices for Computational Scientists Who Write Software},
	Volume = {11},
	Year = {2009}}

@article{KoenkerZeileis09,
	Author = {Roger Koenker and Achim Zeileis},
	Journal = {Journal of Applied Econometrics},
	Number = {5},
	Pages = {833-847},
	Title = {On Reproducible Econometric Research},
	Volume = {24},
	Year = {2009}}

@article{Koepke11,
	Author = {Hoyt Koepke},
	Journal = {Hacker Monthly},
	Title = {Why Python Rocks for Research},
	Volume = {8},
	Year = {2011}}

@book{KopkaDaly04,
	Author = {Helmut Kopka and Patrick W. Daly},
	Edition = {4},
	Publisher = {Addison Wesley / Pearson Education},
	Title = {Guide to \LaTeX},
	Year = {2004}}

@book{Langtangen08,
	Address = {Berlin and Heidelberg, Germany},
	Author = {Hans Petter Langtangen},
	Edition = {3},
	Publisher = {Springer},
	Title = {Python Scripting for Computational Science},
	Year = {2008}}

@book{Langtangen09,
	Address = {Berlin and Heidelberg, {Germany}},
	Author = {Hans Petter Langtangen},
	Publisher = {Springer},
	Title = {A Primer on Scientific Programming with Python},
	Year = {2009}}

@article{Loong07,
	Author = {Theresa Song Loong},
	Journal = {The {Prac\TeX} Journal},
	Number = {3},
	Title = {The Beginner's Forest of {\LaTeX}},
	Year = {2007}}

@book{Lutz07,
	Author = {Mark Lutz},
	Edition = {3},
	Publisher = {O'Reilly Media},
	Title = {Learning Python},
	Year = {2007}}

@article{McCullough07,
	Author = {B. D. {McCullough}},
	Journal = {Econ Journal Watch},
	Month = {September},
	Number = {3},
	Pages = {326-337},
	Title = {Got Replicability? {The} \emph{Journal of Money, Credit and Banking Archive}},
	Volume = {4},
	Year = {2007}}

@article{Merali10,
	Author = {Zeeya Merali},
	Journal = {Nature},
	Pages = {775-777},
	Title = {Computational science: ...Error},
	Volume = {467},
	Year = {2010}}

@unpublished{Verfaille08,
	Author = {Vincent Verfaille},
	Month = {January},
	Note = {Available at \url{http://www.cirmmt.mcgill.ca/activities/workshops/training/latex/details/pdf-slides}},
	Title = {{\LaTeX} workshop for advanced users... or at least not beginners!},
	Year = {2008}}

@book{Wilson05,
	Author = {Gregory V. Wilson},
	Publisher = {The Pragmatic Programmers},
	Title = {Data Crunching},
	Year = {2005}}

@unpublished{WilsonEtAl12,
	Author = {Gregory V. Wilson and D. A. Aruliah and C. Titus Brown and Neil P. Chue Hong and Matt Davis and Richard T. Guy and Steven H. D. Haddock and Katy Huff and Ian Mitchell and Mark Plumbley and Ben Waugh and Ethan P. White and Paul Wilson},
	Month = {November},
	Note = {Available at \url{http://arxiv.org/abs/1210.0530}},
	Title = {Best Practices for Scientific Computing},
	Year = {2012}}

extension: bib


text:
@article{Rokaya-2019-Modelling,
    title = "Modelling the effects of climate and flow regulation on ice‐affected backwater staging in a large northern river",
    author = "Rokaya, Prabin  and
      Peters, Daniel L.  and
      Bonsal, Barrie  and
      Wheater, Howard  and
      Lindenschmidt, Karl‐Erich",
    journal = "River Research and Applications",
    year = "2019",
    publisher = "Wiley",
    url = "https://aclanthology.org/G19-117002",
    doi = "10.1002/rra.3436",
    abstract = "",
}

repository: gwf-uwaterloo/gwf-publications

repo_name: gwf-uwaterloo/gwf-publications

gha_language: Python


text:
SUMMARY = "Create flash artifacts without flashing"

LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://${BALENA_COREBASE}/COPYING.Apache-2.0;md5=89aea4e17d99a7cacdbeed46a0096b10"

DEPENDS = " \
    coreutils-native \
    virtual/bootloader \
    virtual/kernel \
    tegra-binaries \
    tegra-bootfiles \
    tegra186-flashtools-native \
    dtc-native \
"

inherit deploy perlnative python3native

BOOT_BINDIFF="boot0_t186.bindiff"
BOOT_BINDIFF:jetson-tx2-nx-devkit="boot0_t186_nx_devkit.bindiff"

SRC_URI = " \
    file://resinOS-flash186.xml \
    file://partition_specification186.txt \
    file://tx2_28_x_hook_fix.sh \
    file://${BOOT_BINDIFF} \
"

IMAGE_UBOOT ??= "u-boot"

# Jetson TX2 defaults
PINMUX_CFG="tegra186-mb1-bct-pinmux-quill-p3310-1000-c03.cfg"
PMIC_CFG="tegra186-mb1-bct-pmic-quill-p3310-1000-c04.cfg"
PMC_CFG="tegra186-mb1-bct-pad-quill-p3310-1000-c03.cfg"
PROD_CFG="tegra186-mb1-bct-prod-quill-p3310-1000-c03.cfg"
BR_CMD_CONFIG="tegra186-mb1-bct-bootrom-quill-p3310-1000-c03.cfg"

# Jetson TX2 4GB overrides
SDRAM_CFG="${MACHINE}.cfg"

# Jetson TX2 NX in Xavier NX Devkit overrides
PINMUX_CFG:jetson-tx2-nx-devkit="tegra186-mb1-bct-pinmux-p3636-0001-a00.cfg"
PMIC_CFG:jetson-tx2-nx-devkit="tegra186-mb1-bct-pmic-p3636-0001-a00.cfg"
PMC_CFG:jetson-tx2-nx-devkit="tegra186-mb1-bct-pad-p3636-0001-a00.cfg"
PROD_CFG:jetson-tx2-nx-devkit="tegra186-mb1-bct-prod-p3636-0001-a00.cfg"
BR_CMD_CONFIG:jetson-tx2-nx-devkit="tegra186-mb1-bct-bootrom-p3636-0001-a00.cfg"
SDRAM_CFG:jetson-tx2-nx-devkit="tegra186-mb1-bct-memcfg-p3636-0001-a01.cfg"

TX2BCT_TEMPLATE ?= "${S}/bootloader/${NVIDIA_BOARD}/BCT/${EMMC_BCT}"

# These device trees are not generated by the
# kernel build, this is why we need to specify
# them here instead of machine.conf.
KERNEL_DEVICETREE:orbitty-tx2 = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-cti-ASG001-USB3.dtb"
KERNEL_DEVICETREE:n510-tx2 = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-aetina-n510-p3489-0888-a00-00-base.dtb"
KERNEL_DEVICETREE:n310-tx2 = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-aetina-n310-p3489-0888-a00-00-base.dtb"
KERNEL_DEVICETREE:spacely-tx2 = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-cti-ASG006-IMX274-6CAM.dtb"
KERNEL_DEVICETREE:blackboard-tx2 = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-blackboard.dtb"
KERNEL_DEVICETREE:astro-tx2 = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-cti-ASG001-revG+.dtb"
KERNEL_DEVICETREE:photon-tx2-nx = "${DEPLOY_DIR_IMAGE}/tegra186-tx2-nx-cti-NGX003-IMX219-2CAM.dtb"

LNXFILE="u-boot.bin"
IMAGE_TEGRAFLASH_KERNEL="${DEPLOY_DIR_IMAGE}/${LNXFILE}"
DTBFILE = "${@os.path.basename(d.getVar('KERNEL_DEVICETREE', True).split()[0])}"

LDK_DIR = "${TMPDIR}/work-shared/L4T-${SOC_FAMILY}-${PV}-${PR}/Linux_for_Tegra"
B = "${WORKDIR}/build"
S = "${WORKDIR}"

BINARY_INSTALL_PATH = "/opt/tegra-binaries"

BOOTFILES=" \
    adsp-fw.bin \
    bmp.blob \
    bpmp.bin \
    camera-rtcpu-sce.img \
    dram-ecc.bin \
    eks.img \
    mb1_prod.bin \
    mb1_recovery_prod.bin \
    mce_mts_d15_prod_cr.bin \
    nvtboot_cpu.bin \
    nvtboot_recovery.bin \
    nvtboot_recovery_cpu.bin \
    preboot_d15_prod_cr.bin \
    slot_metadata.bin \
    spe.bin \
    nvtboot.bin \
    warmboot.bin \
    minimal_scr.cfg \
    mobile_scr.cfg \
    emmc.cfg \
"

BOARDREV="c03"
BPFDTBREV="c04"
PMICREV="c04"

BPMP_DTB="tegra186-a02-bpmp-quill-p3310-1000-c04-00-te770d-ucm2.dtb"
BPMP_DTB:jetson-tx2-nx-devkit="tegra186-bpmp-p3636-0001-a00-00.dtb"

do_configure() {
    local f

    sed -i -e "s/\[DTB_NAME\]/$(echo ${DTBFILE} | cut -d '.' -f 1)/g" ${WORKDIR}/partition_specification186.txt
    sed -i -e "s/DTB_NAME/${DTBFILE}/g" ${WORKDIR}/resinOS-flash186.xml

    sed -i -e "s/\[BPMP_DTB\]/$(echo ${BPMP_DTB} | cut -d '.' -f 1)/g" ${WORKDIR}/partition_specification186.txt
    sed -i -e "s/BPMP_DTB/${BPMP_DTB}/g" ${WORKDIR}/resinOS-flash186.xml

    if [ -d ${DEPLOY_DIR_IMAGE}/bootfiles ]; then
         rm -rf ${DEPLOY_DIR_IMAGE}/bootfiles
    fi;

    if [ -d ${DEPLOY_DIR_IMAGE}/tegra-binaries ]; then
         rm -rf ${DEPLOY_DIR_IMAGE}/tegra-binaries
    fi;

    mkdir -p ${DEPLOY_DIR_IMAGE}/bootfiles
    local f

    PATH="${STAGING_BINDIR_NATIVE}/tegra186-flash:${PATH}"
    rm -rf "${WORKDIR}/tegraflash"
    mkdir -p "${WORKDIR}/tegraflash"
    oldwd=`pwd`
    cd "${WORKDIR}/tegraflash"
    ln -s ${STAGING_DATADIR}/tegraflash/*.cfg .
    ln -s "${IMAGE_TEGRAFLASH_KERNEL}" ./${LNXFILE}
    cp "${DEPLOY_DIR_IMAGE}/${DTBFILE}" ./${DTBFILE}
    cp ${STAGING_DATADIR}/tegraflash/${BPMP_DTB} .

    if [ "${BL_IS_CBOOT}" = "1" -a -n "${KERNEL_ARGS}" ]; then
        cp "${DEPLOY_DIR_IMAGE}/${DTBFILE}" ./${DTBFILE}
        bootargs="`fdtget ./${DTBFILE} /chosen bootargs 2>/dev/null`"
        fdtput -t s ./${DTBFILE} /chosen bootargs "$bootargs ${KERNEL_ARGS}"
    fi
    ln -sf "${DEPLOY_DIR_IMAGE}/cboot-${MACHINE}.bin" ./cboot.bin
    ln -sf "${DEPLOY_DIR_IMAGE}/tos-${MACHINE}.img" ./tos-trusty.img
    for f in ${BOOTFILES}; do
        ln -s "${STAGING_DATADIR}/tegraflash/$f" . || true
    done
    cp ${STAGING_DATADIR}/tegraflash/flashvars .
    . ./flashvars
    for var in $FLASHVARS; do
        eval pat=$`echo $var`
        if [ -z "$pat" ]; then
            echo "ERR: missing variable: $var" >&2
            exit 1
        fi
        fnglob=`echo $pat | sed -e"s,@BPFDTBREV@,\*," -e"s,@BOARDREV@,\*," -e"s,@PMICREV@,\*," -e"s,@CHIPREV@,\*,"`
        for fname in ${STAGING_DATADIR}/tegraflash/$fnglob; do
            if [ ! -e $fname ]; then
               bbfatal "$var file(s) not found"
            fi
            ln -sf $fname ./
        done
    done
    ln -s ${STAGING_BINDIR_NATIVE}/tegra186-flash .
    dd if=/dev/zero of=badpage.bin bs=4096 count=1

    #cp -r ${STAGING_BINDIR_NATIVE}/tegra186-flash/* .

    cp ${WORKDIR}/resinOS-flash186.xml ./flash.xml.in

    flashapp=$(which tegraflash.py)
    python3 ${flashapp} \
    --bl nvtboot_recovery_cpu.bin \
    --sdram_config ${SDRAM_CFG} \
    --odmdata ${ODMDATA} \
    --applet mb1_recovery_prod.bin \
    --cmd "sign"  \
    --cfg flash.xml.in \
    --chip 0x18 \
    --misc_config tegra186-mb1-bct-misc-si-l4t.cfg \
    --pinmux_config ${PINMUX_CFG} \
    --pmic_config ${PMIC_CFG} \
    --pmc_config ${PMC_CFG} \
    --prod_config ${PROD_CFG} \
    --scr_config minimal_scr.cfg \
    --scr_cold_boot_config mobile_scr.cfg \
    --br_cmd_config ${BR_CMD_CONFIG} \
    --dev_params emmc.cfg \
    --keep --skipuid  & \
        export _PID=$! ; wait ${_PID} || true

    rm ${_PID}/badpage.bin
    cp -r ${_PID}/* ${DEPLOY_DIR_IMAGE}/bootfiles/
    rm -rf ${_PID}

    # Disable cboot displayed vendor logo
    dd if=/dev/zero of=./bmp.blob count=1 bs=70900

    cp -r signed/* ${DEPLOY_DIR_IMAGE}/bootfiles/
    cp -r *.img    ${DEPLOY_DIR_IMAGE}/bootfiles/
    cp -r *.bin    ${DEPLOY_DIR_IMAGE}/bootfiles/
    cp -r *.blob   ${DEPLOY_DIR_IMAGE}/bootfiles/
    cp ${DEPLOY_DIR_IMAGE}/${DTBFILE} ${DEPLOY_DIR_IMAGE}/bootfiles/

    # This is the new boot0, which needs to be patched due to some bytes
    # that differ between our generated image and tegra host tools one, most
    # probably they are added during flashing
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/br_bct_BR.bct of=boot0.img conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/br_bct_BR.bct of=boot0.img seek=3584 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/br_bct_BR.bct of=boot0.img seek=16384 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/mb1_prod.bin.encrypt of=boot0.img seek=32768 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/mb1_prod.bin.encrypt of=boot0.img seek=294912 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/mb1_cold_boot_bct_MB1.bct of=boot0.img seek=557456 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/mb1_cold_boot_bct_MB1.bct of=boot0.img seek=622992 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/dram-ecc_sigheader.bin.encrypt of=boot0.img seek=688128 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/badpage_sigheader.bin.encrypt of=boot0.img seek=743424 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/badpage_sigheader.bin.encrypt of=boot0.img seek=748032 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/spe_sigheader.bin.encrypt of=boot0.img seek=752640 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/spe_sigheader.bin.encrypt of=boot0.img seek=883712 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/nvtboot_sigheader.bin.encrypt of=boot0.img seek=1014784 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/nvtboot_sigheader.bin.encrypt of=boot0.img seek=1276928 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/preboot_d15_prod_cr_sigheader.bin.encrypt of=boot0.img seek=1539072 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/preboot_d15_prod_cr_sigheader.bin.encrypt of=boot0.img seek=1801216 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/slot_metadata.bin of=boot0.img seek=2063360 bs=1 conv=notrunc
    dd if=${DEPLOY_DIR_IMAGE}/bootfiles/slot_metadata.bin of=boot0.img seek=2067456 bs=1 conv=notrunc
    dd if=/dev/zero of=boot0.img seek=2071552 bs=1 count=2122752 conv=notrunc

    # Patch resulting boot0.img to match partition table for L4T 32.6.1, this part is common for TX2 and TX2 NX
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=557056 count=24 skip=0  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=622592 count=24 skip=24  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=743424 count=24 skip=48  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=743808 count=16 skip=72  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=748032 count=24 skip=88  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=748416 count=16 skip=112  of=boot0.img conv=notrunc

    # This part is specific to the TX2 NX, which is the same on 32.7.2 and on 32.7.1
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=557444 count=6 skip=128  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=622980 count=6 skip=134  of=boot0.img conv=notrunc

    # Added as of L4T 32.7.1 for TX2, applies to 32.7.2
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=623472 count=32 skip=140  of=boot0.img conv=notrunc
    dd if=${WORKDIR}/${BOOT_BINDIFF} bs=1 seek=557936 count=32 skip=172  of=boot0.img conv=notrunc

    cp boot0.img ${DEPLOY_DIR_IMAGE}/bootfiles/boot0.img
}

do_install() {
    install -d ${D}/${BINARY_INSTALL_PATH}
    cp -r ${S}/tegraflash/signed/* ${D}/${BINARY_INSTALL_PATH}
    cp ${WORKDIR}/partition_specification186.txt ${D}/${BINARY_INSTALL_PATH}/
    cp ${DEPLOY_DIR_IMAGE}/bootfiles/boot0.img ${D}/${BINARY_INSTALL_PATH}/
    # This file contains an updated hook for older L4T 28.X based images,
    # which allows an older image to re-create the 28.X partition layout
    # in case the rollback-health checks fail. The hostapp-update hook
    # from the new L4T 32.X rootfs replaces the old 28.X hook with this
    # improved one, if it has not been updated already. This is part of the
    # ongoing improvement for L4T transitioning.
    install -m 0755 ${WORKDIR}/tx2_28_x_hook_fix.sh ${D}/${BINARY_INSTALL_PATH}/
    rm -rf ${DEPLOY_DIR_IMAGE}/tegra-binaries
}

do_deploy() {
    rm -rf ${DEPLOYDIR}/$(basename ${BINARY_INSTALL_PATH})
    mkdir -p ${DEPLOYDIR}/$(basename ${BINARY_INSTALL_PATH})
    cp -r ${D}/${BINARY_INSTALL_PATH}/* ${DEPLOYDIR}/$(basename ${BINARY_INSTALL_PATH})
    rm -rf ${DEPLOY_DIR_IMAGE}/$(basename ${BINARY_INSTALL_PATH})
}

FILES:${PN} += "${BINARY_INSTALL_PATH}"

INHIBIT_PACKAGE_STRIP = "1"
INHIBIT_PACKAGE_DEBUG_SPLIT = "1"

do_install[nostamp] = "1"
do_compile[nostamp] = "1"
do_deploy[nostamp] = "1"
do_configure[nostamp] = "1"

do_configure[depends] += "tegra-binaries:do_preconfigure"
do_compile[depends] += " \
    virtual/kernel:do_deploy \
    virtual/bootloader:do_deploy \
"

do_install[depends] += "virtual/kernel:do_deploy"
do_configure[depends] += " cboot:do_deploy"
do_configure[depends] += " tos-prebuilt:do_deploy"
do_populate_lic[depends] += "tegra-binaries:do_unpack"

addtask do_deploy before do_package after do_install

repository: balena-os/balena-jetson

repo_name: balena-os/balena-jetson

gha_language: BitBake


text:
// Generated with goxc v0.1.13 - rev f5cc87998c35abe9b532e49b5672e8667bcbd00c
package h005

import w3c "github.com/openyard/ebics/3.0/w3c"

// ComplexType
type HCARequestOrderDataType struct {
	AuthenticationPubKeyInfo *AuthenticationPubKeyInfoType `xml:"AuthenticationPubKeyInfo"`
	EncryptionPubKeyInfo     *EncryptionPubKeyInfoType     `xml:"EncryptionPubKeyInfo"`
	PartnerID                *PartnerIDType                `xml:"PartnerID"`
	UserID                   *UserIDType                   `xml:"UserID"`

	Any []*w3c.Any
}

func NewHCARequestOrderDataType() *HCARequestOrderDataType {
	return new(HCARequestOrderDataType)
}

func (me *HCARequestOrderDataType) SetAuthenticationPubKeyInfo(value *AuthenticationPubKeyInfoType) {
	me.AuthenticationPubKeyInfo = value
}

func (me *HCARequestOrderDataType) AddAuthenticationPubKeyInfo() *AuthenticationPubKeyInfoType {
	me.AuthenticationPubKeyInfo = new(AuthenticationPubKeyInfoType)
	return me.AuthenticationPubKeyInfo
}

func (me *HCARequestOrderDataType) SetEncryptionPubKeyInfo(value *EncryptionPubKeyInfoType) {
	me.EncryptionPubKeyInfo = value
}

func (me *HCARequestOrderDataType) AddEncryptionPubKeyInfo() *EncryptionPubKeyInfoType {
	me.EncryptionPubKeyInfo = new(EncryptionPubKeyInfoType)
	return me.EncryptionPubKeyInfo
}

func (me *HCARequestOrderDataType) SetPartnerID(value *PartnerIDType) {
	me.PartnerID = value
}

func (me *HCARequestOrderDataType) AddPartnerID() *PartnerIDType {
	me.PartnerID = new(PartnerIDType)
	return me.PartnerID
}

func (me *HCARequestOrderDataType) SetUserID(value *UserIDType) {
	me.UserID = value
}

func (me *HCARequestOrderDataType) AddUserID() *UserIDType {
	me.UserID = new(UserIDType)
	return me.UserID
}

repository: openyard/ebics

repo_name: openyard/ebics


text:
@INPROCEEDINGS{xu2021mobisys_followupar,
    author={Jingao Xu and Guoxuan Chi and Zheng Yang and Danyang Li and Qian Zhang and Qiang Ma and Xin Miao},
    booktitle={Proceedings of the ACM MobiSys},
    title={FollowUpAR: Enabling Follow-up Effects in Mobile AR Applications},
    pages={},
    month={June 24-July 2},
    year={2021},
}

@article{xu2021smartphone,
    title={Smartphone-Based Indoor Visual Navigation with Leader-Follower Mode},
    author={Xu, Jingao and Dong, Erqun and Ma, Qiang and Wu, Chenshu and Yang, Zheng},
    journal={ACM Transactions on Sensor Networks (TOSN)},
    volume={17},
    number={2},
    pages={1--22},
    year={2021},
    publisher={ACM New York, NY, USA}
}


text:
# The set of languages for which implicit dependencies are needed:
set(CMAKE_DEPENDS_LANGUAGES
  "CXX"
  )
# The set of files for implicit dependencies of each language:
set(CMAKE_DEPENDS_CHECK_CXX
  "/home/gpli/llvm-2.9/utils/unittest/googletest/gtest-death-test.cc" "/home/gpli/llvm-2.9-build/utils/unittest/CMakeFiles/gtest.dir/googletest/gtest-death-test.cc.o"
  "/home/gpli/llvm-2.9/utils/unittest/googletest/gtest-filepath.cc" "/home/gpli/llvm-2.9-build/utils/unittest/CMakeFiles/gtest.dir/googletest/gtest-filepath.cc.o"
  "/home/gpli/llvm-2.9/utils/unittest/googletest/gtest-port.cc" "/home/gpli/llvm-2.9-build/utils/unittest/CMakeFiles/gtest.dir/googletest/gtest-port.cc.o"
  "/home/gpli/llvm-2.9/utils/unittest/googletest/gtest-test-part.cc" "/home/gpli/llvm-2.9-build/utils/unittest/CMakeFiles/gtest.dir/googletest/gtest-test-part.cc.o"
  "/home/gpli/llvm-2.9/utils/unittest/googletest/gtest-typed-test.cc" "/home/gpli/llvm-2.9-build/utils/unittest/CMakeFiles/gtest.dir/googletest/gtest-typed-test.cc.o"
  "/home/gpli/llvm-2.9/utils/unittest/googletest/gtest.cc" "/home/gpli/llvm-2.9-build/utils/unittest/CMakeFiles/gtest.dir/googletest/gtest.cc.o"
  )
set(CMAKE_CXX_COMPILER_ID "GNU")

# Preprocessor definitions for this target.
set(CMAKE_TARGET_DEFINITIONS_CXX
  "GTEST_HAS_RTTI=0"
  "_DEBUG"
  "_GNU_SOURCE"
  "__STDC_CONSTANT_MACROS"
  "__STDC_LIMIT_MACROS"
  )

# The include file search paths:
set(CMAKE_CXX_TARGET_INCLUDE_PATH
  "utils/unittest"
  "/home/gpli/llvm-2.9/utils/unittest"
  "include"
  "/home/gpli/llvm-2.9/include"
  "/home/gpli/llvm-2.9/utils/unittest/googletest/include"
  )

# Targets to which this target links.
set(CMAKE_TARGET_LINKED_INFO_FILES
  )

# Fortran module output directory.
set(CMAKE_Fortran_TARGET_MODULE_DIR "")

repository: xcgxg/Trident

repo_name: xcgxg/Trident


text:
@Manual{novathesis-manual,
	title        = {{The NOVAthesis \LaTeX\ Template User's Manual}},
	author       = {João M. Lourenço},
	organization = {NOVA University Lisbon},
	year         = {2021},
	url          = {https://github.com/joaomlourenco/novathesis/raw/main/template.pdf},
  keywords =     {novathesis-manual},
}

repository: joaomlourenco/novathesis

repo_name: joaomlourenco/novathesis

gha_language: TeX


text:
require dwarf.inc

SRC_URI += "file://fix-gennames.patch"

do_install() {
    install -d ${D}${libdir} ${D}${includedir}/libdwarf
    install -m 0755 libdwarf.a ${D}${libdir}
    install -m 0644 ${S}/dwarf.h ${S}/libdwarf.h ${D}${includedir}/libdwarf
}

ALLOW_EMPTY:${PN} = "1"

BBCLASSEXTEND = "native"

repository: lgirdk/meta-linaro

repo_name: lgirdk/meta-linaro


text:
package broker

import (
	"context"

	"github.com/micro/go-micro/broker"
)

type discordAuthToken struct{}

type addEventHandler struct{}

// AuthToken is a broker Option which provides for setting the Discord authentication token
func AuthToken(token string) broker.Option {
	return func(o *broker.Options) {
		if o.Context == nil {
			o.Context = context.Background()
		}
		o.Context = context.WithValue(o.Context, discordAuthToken{}, token)
	}
}

repository: EmphaticDissonance/discordgw

repo_name: EmphaticDissonance/discordgw


text:
@article{Reuter-motion15,
title = "Head Motion during MRI Acquisition Reduces Gray Matter Volume and Thickness Estimates",
journal = "NeuroImage",
volume = "107",
pages = "107-115",
year = "2015",
doi = "http://dx.doi.org/10.1016/j.neuroimage.2014.12.006",
url = "http://dx.doi.org/10.1016/j.neuroimage.2014.12.006",
author = "Martin Reuter and M. Dylan Tisdall and Abid Qureshi and Randy L. Buckner and Andre J.W. van der Kouwe and Bruce Fischl",
}


text:
SUMMARY = "WebSocket client for python. hybi13 is supported."
HOMEPAGE = "https://github.com/websocket-client/websocket-client.git"
LICENSE = "LGPL-3.0-only"
LIC_FILES_CHKSUM = "file://LICENSE;md5=c4c4a98fbc4836b81c8c64d6ecb01fc1"

inherit pypi setuptools

PYPI_PACKAGE = "websocket_client"

SRC_URI[md5sum] = "8061820da5e1de26a6a1a6996d4eebd5"
SRC_URI[sha256sum] = "d735b91d6d1692a6a181f2a8c9e0238e5f6373356f561bb9dc4c7af36f452010"

SKIP_RECIPE[python-websocket-client] ?= "${@bb.utils.contains('I_SWEAR_TO_MIGRATE_TO_PYTHON3', 'yes', '', 'python2 is out of support for long time, read https://www.python.org/doc/sunset-python-2/ https://python3statement.org/ and if you really have to temporarily use this, then set I_SWEAR_TO_MIGRATE_TO_PYTHON3 to "yes"', d)}"

branch_name: refs/heads/jansa/master


text:
@Article{bonneau_nmr_2015,
  title = {The {NMR} structure of the {II}-{III}-{VI} three-way junction from the {Neurospora} {VS} ribozyme reveals a critical tertiary interaction and provides new insights into the global ribozyme structure},
  volume = {21},
  doi = {10.1261/rna.052076.115},
  number = {9},
  journal = {Rna},
  author = {E. Bonneau and N. Girard and S. Lemieux and P. Legault},
  year = {2015},
  note = {Type: Journal Article},
  pages = {1621--32},
  issn = {1355-8382 (Print) 1355-8382},
  date = {2015-01-01},
}


text:
@article{barraquand2014lack,
  title={Lack of quantitative training among early-career ecologists: a survey of the problem and potential solutions},
  author={Barraquand, Fr{\'e}d{\'e}ric and Ezard, Thomas HG and J{\o}rgensen, Peter S and Zimmerman, Naupaka and Chamberlain, Scott and Salguero-Gomez, Roberto and Curran, Timothy J and Poisot, Timoth{\'e}e},
  journal={PeerJ},
  volume={2},
  pages={e285},
  year={2014},
  publisher={PeerJ Inc.}
}

@book{abedin2014r,
  title={R Graphs Cookbook Second Edition},
  author={Abedin, Jaynal and Mittal, Hrishi V},
  year={2014},
  publisher={Packt Publishing Ltd}
}

@book{murrell2018r,
  title={R Graphics},
  author={Murrell, P},
  isbn={9781439831779},
  lccn={2011026631},
  series={Chapman \& Hall/CRC The R Series},
  url={https://books.google.ca/books?id=ol3RBQAAQBAJ},
  year={2018},
  publisher={CRC Press}
}

@article{hampton2015tao,
  title={The Tao of open science for ecology},
  author={Hampton, Stephanie E and Anderson, Sean S and Bagby, Sarah C and Gries, Corinna and Han, Xueying and Hart, Edmund M and Jones, Matthew B and Lenhardt, W Christopher and MacDonald, Andrew and Michener, William K and others},
  journal={Ecosphere},
  volume={6},
  number={7},
  pages={1--13},
  year={2015},
  publisher={Wiley Online Library}
}

@article{murrell2006chapman,
  title={Chapman \& Hall},
  author={Murrell, Paul and Graphics, R},
  journal={CRC, Boca Raton, FL},
  year={2006}
}

@book{abedin2014r,
  title={R Graphs Cookbook Second Edition},
  author={Abedin, Jaynal and Mittal, Hrishi V},
  year={2014},
  publisher={Packt Publishing Ltd}
}

@book{burnhamdr2002,
  title={Model selection and multimodel inference: a practical information-theoretic approach},
  author={Burnham, Kenneth P and David R Anderson},
  year={2014},
  author={Burnham, KP and others},
  publisher={Springer Science \& Business Media, New York, New York, USA}
}

@article{hart2016ten,
  title={Ten simple rules for digital data storage},
  author={Hart, Edmund M and Barmby, Pauline and LeBauer, David and Michonneau, Fran{\c{c}}ois and Mount, Sarah and Mulrooney, Patrick and Poisot, Timoth{\'e}e and Woo, Kara H and Zimmerman, Naupaka B and Hollister, Jeffrey W},
  journal={PLoS computational biology},
  volume={12},
  number={10},
  year={2016},
  publisher={Public Library of Science}
}

@article{broman2018data,
  title={Data organization in spreadsheets},
  author={Broman, Karl W and Woo, Kara H},
  journal={The American Statistician},
  volume={72},
  number={1},
  pages={2--10},
  year={2018},
  publisher={Taylor \& Francis}
}

@article{white2013nine,
  title={Nine simple ways to make it easier to (re) use your data},
  author={White, Ethan P and Baldridge, Elita and Brym, Zachary T and Locey, Kenneth J and McGlinn, Daniel J and Supp, Sarah R},
  journal={Ideas in Ecology and Evolution},
  volume={6},
  number={2},
  year={2013}
}

@article{langdon2000effect,
  title={Effect of calcium carbonate saturation state on the calcification rate of an experimental coral reef},
  author={Langdon, Chris and Takahashi, Taro and Sweeney, Colm and Chipman, Dave and Goddard, John and Marubini, Francesca and Aceves, Heather and Barnett, Heidi and Atkinson, Marlin J},
  journal={Global Biogeochemical Cycles},
  volume={14},
  number={2},
  pages={639--654},
  year={2000},
  publisher={Wiley Online Library}
}

@article{lai2019evaluating,
  title={Evaluating the popularity of R in ecology},
  author={Lai, Jiangshan and Lortie, Christopher J and Muenchen, Robert A and Yang, Jian and Ma, Keping},
  journal={Ecosphere},
  volume={10},
  number={1},
  pages={e02567},
  year={2019},
  publisher={Wiley Online Library}
}

@article{falik2011rumor,
  title={Rumor has it…: relay communication of stress cues in plants},
  author={Falik, Omer and Mordoch, Yonat and Quansah, Lydia and Fait, Aaron and Novoplansky, Ariel},
  journal={PLoS One},
  volume={6},
  number={11},
  year={2011},
  publisher={Public Library of Science}
}

@book{ismay2019statistical,
  title={Statistical Inference via Data Science: A ModernDive into R and the Tidyverse},
  author={Ismay, Chester and Kim, Albert Y},
  year={2019},
  publisher={CRC Press}
}


text:
@article{Alvarado2017,
 abstract = {A 10% excise tax on sugar sweetened beverages (SSBs) was implemented in Barbados in September 2015. A national evaluation has been established to assess the impact of the tax. We present a descriptive analysis of initial price changes following implementation of the SSB tax using price data provided by a major supermarket chain in Barbados over the period 2014-2016. We summarize trends in price changes for SSBs and non-SSBs before and after the tax using year-on-year mean price per liter. We find that prior to the tax, the year-on-year growth of SSB and non-SSB prices was very similar (approximately 1%). During the quarter in which the tax was implemented, the trends diverged, with SSB price growth increasing to 3% and that of non-SSBs decreasing slightly. The growth of SSB prices outpaced non-SSBs prices in each quarter thereafter, reaching 5.9% compared to <1% for non-SSBs. Future analyses will assess the trends in prices of SSBs and non-SSBs over a longer period and will integrate price data from additional sources to assess heterogeneity of post-tax price changes. A continued examination of the impact of the SSB tax in Barbados will expand the evidence base available to policymakers worldwide in considering SSB taxes as a lever for reducing the consumption of added sugar at the population level.},
 address = {United States},
 article-pii = {S0091-7435(17)30260-8},
 author = {Alvarado, Miriam and Kostova, Deliana and Suhrcke, Marc and Hambleton, Ian and Hassell, Trevor and Samuels, T. Alafia and Adams, Jean and Unwin, Nigel},
 completed = {20180730},
 corporate = {Barbados SSB Tax Evaluation Group},
 doi = {10.1016/j.ypmed.2017.07.013},
 electronic-issn = {1096-0260},
 electronic-publication = {20170715},
 grantno = {MR/K023187/1/MRC_/Medical Research Council/United Kingdom},
 history = {2017/07/19 06:00 [entrez]},
 journal = {Preventive medicine},
 keywords = {Barbados, Beverages/*economics, Commerce/*economics/*trends, Dietary Sucrose/adverse effects, Humans, Obesity/prevention & control, Sweetening Agents/*economics, Taxes/*economics, Diabetes mellitus, Diet, Economics, Nutrition policy, Obesity, Primary prevention},
 language = {eng},
 linking-issn = {0091-7435},
 location-id = {10.1016/j.ypmed.2017.07.013 [doi]},
 month = {Dec},
 nlm-unique-id = {0322116},
 owner = {NLM},
 pages = {S23-S25},
 publication-status = {ppublish},
 registry-number = {0 (Sweetening Agents)},
 revised = {20200318},
 source = {Prev Med. 2017 Dec;105S:S23-S25. doi: 10.1016/j.ypmed.2017.07.013. Epub 2017 Jul 15.},
 status = {MEDLINE},
 subset = {IM},
 termowner = {NOTNLM},
 title = {Trends in beverage prices following the introduction of a tax on sugar-sweetened beverages in Barbados.},
 title-abbreviation = {Prev Med},
 volume = {105S},
 year = {2017}
}


text:
@article{jagodnik2015optimized,
 abstract = {When Functional Electrical Stimulation (FES) is used to restore movement in subjects with spinal cord injury (SCI), muscle stimulation patterns should be selected to generate accurate and efficient movements. Ideally, the controller for such a neuroprosthesis will have the simplest architecture possible, to facilitate translation into a clinical setting. In this study, we used the simulated annealing algorithm to optimize two proportional-derivative (PD) feedback controller gain sets for a 3-dimensional arm model that includes musculoskeletal dynamics and has 5 degrees of freedom and 22 muscles, performing goal-oriented reaching movements. Controller gains were optimized by minimizing a weighted sum of position errors, orientation errors, and muscle activations. After optimization, gain performance was evaluated on the basis of accuracy and efficiency of reaching movements, along with three other benchmark gain sets not optimized for our system, on a large set of dynamic reaching movements for which the controllers had not been optimized, to test ability to generalize. Robustness in the presence of weakened muscles was also tested. The two optimized gain sets were found to have very similar performance to each other on all metrics, and to exhibit significantly better accuracy, compared with the three standard gain sets. All gain sets investigated used physiologically acceptable amounts of muscular activation. It was concluded that optimization can yield significant improvements in controller performance while still maintaining muscular efficiency, and that optimization should be considered as a strategy for future neuroprosthesis controller design.},
 author = {Jagodnik, Kathleen M and Blana, Dimitra and van den Bogert, Antonie J and Kirsch, Robert F},
 doi = {10.1016/j.jbiomech.2015.08.016},
 journal = {Journal of biomechanics},
 number = {13},
 pages = {3692--3700},
 publisher = {Elsevier},
 title = {An optimized proportional-derivative controller for the human upper extremity with gravity},
 volume = {48},
 year = {2015}
}

repository: dblana/academic-kickstart

repo_name: dblana/academic-kickstart


text:
project(icecube_photon_propagator LANGUAGES CXX CUDA)

# nvcc only currently supports up to C++14
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CUDA_STANDARD 14)

set(CMAKE_BUILD_TYPE DEBUG)

find_package(CUDA REQUIRED)
find_package(Boost REQUIRED COMPONENTS filesystem)

include_directories(include)
include_directories(${Boost_INCLUDE_DIRS})

set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)

# Can't use gcc beyond 8 since nvcc chokes.
# Note this was only an issue when trying for separate compilation.

# https://devblogs.nvidia.com/separate-compilation-linking-cuda-device-code/
# --device-c allows for relocatable code, but could hurt performance.
# NB: requires at least sm_20 architecture.

# https://devblogs.nvidia.com/building-cuda-applications-cmake/
set(CUDA_PROPAGATE_HOST_FLAGS OFF)
#set(CUDA_NVCC_FLAGS
#  ${CUDA_NVCC_FLAGS}
#  -Xptxas=-v
#  -O2
#  -G
#  -g
#  --device-c
#  --use_fast_math
#  --compiler-options=-O2,--fast-math
#  -D_FORCE_INLINES
#  -Xcompiler -fPIC
#  )


text:
#
# This file is the watchdog-daemon-init recipe.
#
SUMMARY = "Simple watchdog-daemon-init application"
SECTION = "PETALINUX/apps"
LICENSE = "MIT"
LIC_FILES_CHKSUM ="file://${COMMON_LICENSE_DIR}/MIT;md5=0835ade698e0bcf8506ecda2f7b4f302"

SRC_URI = "file://watchdog-daemon-init \
 "
S = "${WORKDIR}"

FILESEXTRAPATHS_prepend := "${THISDIR}/files:"

inherit update-rc.d

INITSCRIPT_NAME = "watchdog-daemon-init"
INITSCRIPT_PARAMS = "start 99 S ."

do_install() {
    install -d ${D}${sysconfdir}/init.d
    install -m 0755 ${S}/watchdog-daemon-init ${D}${sysconfdir}/init.d/watchdog-daemon-init
}

FILES_${PN} += "${sysconfdir}/*"


text:
@article{BAUGH2018100,
    title = "Formal methods and finite element analysis of hurricane storm surge: A case study in software verification",
    journal = "Science of Computer Programming",
    volume = "158",
    pages = "100 - 121",
    year = "2018",
    note = "Abstract State Machines, Alloy, B, TLA, VDM and Z (ABZ 2016)",
    issn = "0167-6423",
    doi = "https://doi.org/10.1016/j.scico.2017.08.012",
    url = "http://www.sciencedirect.com/science/article/pii/S0167642317301715",
    author = "John Baugh and Alper Altuntas",
    keywords = "Formal methods, Model checking, Scientific computing, Earth and atmospheric sciences",
    abstract = "Used to predict the effects of hurricane storm surge, ocean circulation models are essential tools for evacuation planning, vulnerability assessment, and infrastructure design. Implemented as numerical solvers that operate on large-scale datasets, these models determine the geographic extent and severity of coastal floods and other impacts. In this study, we look at an ocean circulation model used in production and an extension made to it that offers substantial performance gains. To explore implementation choices and ensure soundness of the extension, we make use of Alloy, a declarative modeling language with tool support and an automatic form of analysis performed within a bounded scope using a SAT solver. Abstractions for relevant parts of the ocean circulation model are presented, including the physical representation of land and seafloor surfaces as a finite element mesh, and an algorithm operating on it that allows for the propagation of overland flows. The approach allows us to draw useful conclusions about implementation choices and guarantees about the extension, in particular that it is equivalence preserving."
}

@InProceedings{baugh-abz-2018,
    author = "Baugh, John and Dyer, Tristan",
    editor = "Butler, Michael and Raschke, Alexander and Hoang, Thai Son and Reichl, Klaus",
    title = "State-Based Formal Methods in Scientific Computation",
    booktitle = "Abstract State Machines, Alloy, B, TLA, VDM, and Z",
    year = "2018",
    publisher = "Springer International Publishing",
    address = "Cham",
    pages = "392--396",
    abstract = "Control systems, protocols, and hardware design are among the most common applications of state-based formal methods, and yet the types of modeling and analysis they enable are also well-suited to problems in scientific computation, where quality, reproducibility, and productivity are growing concerns. We survey the challenges faced by developers of scientific software, characterize the nature of the programs they write, and offer some perspective on the role that state-based methods can play in scientific domains.",
    isbn = "978-3-319-91271-4",
    doi = "https://doi.org/10.1007/978-3-319-91271-4_29"
}


text:
@inproceedings{prabhavalkar2017analysis,
  title={An analysis of “attention” in sequence-to-sequence models,”},
  author={Prabhavalkar, Rohit and Sainath, Tara N and Li, Bo and Rao, Kanishka and Jaitly, Navdeep},
  booktitle={Proc. of Interspeech},
  year={2017}
}

@article{ronzhina2012sleep,
  title={Sleep scoring using artificial neural networks},
  author={Ronzhina, Marina and Janou{\v{s}}ek, Oto and Kol{\'a}{\v{r}}ov{\'a}, Jana and Nov{\'a}kov{\'a}, Marie and Honz{\'\i}k, Petr and Provazn{\'\i}k, Ivo},
  journal={Sleep medicine reviews},
  volume={16},
  number={3},
  pages={251--263},
  year={2012},
  publisher={Elsevier}
}

@article{rechtschaffen1968manual,
  title={A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects},
  author={Rechtschaffen, A and Kales, A},
  year={1968},
  publisher={US Government Printing Office, US Public Health Service}
}

@article{berry2012aasm,
  title={The AASM manual for the scoring of sleep and associated events},
  author={Berry, Richard B and Brooks, Rita and Gamaldo, Charlene E and Harding, Susan M and Marcus, CL and Vaughn, BV},
  journal={Rules, Terminology and Technical Specifications, Darien, Illinois, American Academy of Sleep Medicine},
  year={2012}
}

@article{bahdanau2014neural,
  title={Neural machine translation by jointly learning to align and translate},
  author={Bahdanau, Dzmitry and Cho, Kyunghyun and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1409.0473},
  year={2014}
}

@article{chambon2017deep,
  title={A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series},
  author={Chambon, Stanislas and Galtier, Mathieu and Arnal, Pierrick and Wainrib, Gilles and Gramfort, Alexandre},
  journal={arXiv preprint arXiv:1707.03321},
  year={2017}
}

@article{itti1998model,
  title={A model of saliency-based visual attention for rapid scene analysis},
  author={Itti, Laurent and Koch, Christof and Niebur, Ernst},
  journal={IEEE Transactions on pattern analysis and machine intelligence},
  volume={20},
  number={11},
  pages={1254--1259},
  year={1998},
  publisher={IEEE}
}

@article{desimone1995neural,
  title={Neural mechanisms of selective visual attention},
  author={Desimone, Robert and Duncan, John},
  journal={Annual review of neuroscience},
  volume={18},
  number={1},
  pages={193--222},
  year={1995},
  publisher={Annual Reviews 4139 El Camino Way, PO Box 10139, Palo Alto, CA 94303-0139, USA}
}

@inproceedings{zhou2016attention,
  title={Attention-based bidirectional long short-term memory networks for relation classification},
  author={Zhou, Peng and Shi, Wei and Tian, Jun and Qi, Zhenyu and Li, Bingchen and Hao, Hongwei and Xu, Bo},
  booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  volume={2},
  pages={207--212},
  year={2016}
}

@article{luong2015effective,
  title={Effective approaches to attention-based neural machine translation},
  author={Luong, Minh-Thang and Pham, Hieu and Manning, Christopher D},
  journal={arXiv preprint arXiv:1508.04025},
  year={2015}
}

@inproceedings{ebrahimi2008automatic,
  title={Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients},
  author={Ebrahimi, Farideh and Mikaeili, Mohammad and Estrada, Edson and Nazeran, Homer},
  booktitle={Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE},
  pages={1151--1154},
  year={2008},
  organization={IEEE}
}

@inproceedings{nakamura2017complexity,
  title={Complexity science for sleep stage classification from EEG},
  author={Nakamura, Takashi and Adjei, Tricia and Alqurashi, Yousef and Looney, David and Morrell, Mary J and Mandic, Danilo P},
  booktitle={Neural Networks (IJCNN), 2017 International Joint Conference on},
  pages={4387--4394},
  year={2017},
  organization={IEEE}
}

@article{Chen2016XGBoost,
  title={XGBoost: A Scalable Tree Boosting System},
  author={Chen, Tianqi and Guestrin, Carlos},
  pages={785-794},
  year={2016},
}

@article{chapotot2010automated,
  title={Automated sleep--wake staging combining robust feature extraction, artificial neural network classification, and flexible decision rules},
  author={Chapotot, Florian and Becq, Guillaume},
  journal={International Journal of Adaptive Control and Signal Processing},
  volume={24},
  number={5},
  pages={409--423},
  year={2010},
  publisher={Wiley Online Library}
}

@article{zhang2017sleep,
  title={Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device},
  author={Zhang, Xin and Kou, Weixuan and Chang, Eric I and Gao, He and Fan, Yubo and Xu, Yan and others},
  journal={arXiv preprint arXiv:1711.00629},
  year={2017}
}

@article{norman2000interobserver,
  title={Interobserver agreement among sleep scorers from different centers in a large dataset.},
  author={Norman, Robert G and Pal, Ivan and Stewart, Chip and Walsleben, Joyce A and Rapoport, David M},
  journal={Sleep},
  volume={23},
  number={7},
  pages={901--908},
  year={2000}
}

@article{dong2017mixed,
  title={Mixed neural network approach for temporal sleep stage classification},
  author={Dong, Hao and Supratak, Akara and Pan, Wei and Wu, Chao and Matthews, Paul M and Guo, Yike},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2017},
  publisher={IEEE}
}

@inproceedings{ren2014convolutional,
  title={Convolutional deep belief networks for feature extraction of EEG signal},
  author={Ren, Yuanfang and Wu, Yan},
  booktitle={Neural Networks (IJCNN), 2014 International Joint Conference on},
  pages={2850--2853},
  year={2014},
  organization={IEEE}
}

@article{langkvist2012sleep,
  title={Sleep stage classification using unsupervised feature learning},
  author={L{\"a}ngkvist, Martin and Karlsson, Lars and Loutfi, Amy},
  journal={Advances in Artificial Neural Systems},
  volume={2012},
  pages={5},
  year={2012},
  publisher={Hindawi Publishing Corp.}
}


text:
@inproceedings{Hecke.jl-2017,
  author = {Fieker, Claus and Hart, William and Hofmann, Tommy and Johansson, Fredrik},
  title = {Nemo/Hecke: Computer Algebra and Number Theory Packages for the Julia Programming Language},
  booktitle = {Proceedings of the 2017 ACM on International Symposium on Symbolic and Algebraic Computation},
  series = {ISSAC '17},
  year = {2017},
  pages = {157--164},
  numpages = {8},
  url = {https://doi.acm.org/10.1145/3087604.3087611},
  doi = {10.1145/3087604.3087611},
  publisher = {ACM},
  address = {New York, NY, USA},
}

gha_language: Julia


text:
SUMMARY = "OpenBMC for HDSC - Applications"
PR = "r1"

LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://${HDSCBASE}/COPYING.apache-2.0;md5=1dece7821bf3fd70fe1309eaa37d52a2"

inherit packagegroup

PROVIDES = "${PACKAGES}"
PACKAGES = " \
        ${PN}-chassis \
        ${PN}-fans \
        ${PN}-flash \
        ${PN}-system \
        ${PN}-host \
        "

PROVIDES += "virtual/obmc-chassis-mgmt"
#PROVIDES += "virtual/obmc-fan-mgmt"
PROVIDES += "virtual/obmc-flash-mgmt"
PROVIDES += "virtual/obmc-system-mgmt"
PROVIDES += "virtual/obmc-host-ctl"

RPROVIDES_${PN}-chassis += "virtual-obmc-chassis-mgmt"
#RPROVIDES_${PN}-fans += "virtual-obmc-fan-mgmt"
RPROVIDES_${PN}-flash += "virtual-obmc-flash-mgmt"
RPROVIDES_${PN}-system += "virtual-obmc-system-mgmt"
RPROVIDES_${PN}-host += "virtual-obmc-host-ctl"

SUMMARY_${PN}-chassis = "HDSC Chassis"
RDEPENDS_${PN}-chassis = " \
        obmc-control-chassis \
        obmc-op-control-power \
        obmc-host-failure-reboots \
        "

#SUMMARY_${PN}-fans = "HDSC Fans"
#RDEPENDS_${PN}-fans = " \
#        phosphor-pid-control \
#        "

SUMMARY_${PN}-flash = "HDSC Flash"
RDEPENDS_${PN}-flash = " \
        obmc-flash-bmc \
        obmc-mgr-download \
        obmc-control-bmc \
        "

SUMMARY_${PN}-system = "HDSC System"
RDEPENDS_${PN}-system = " \
        systemd-analyze \
        bmcweb \
        phosphor-webui \
        entity-manager \
        intel-ipmi-oem \
        dbus-sensors \
        "

repository: hyvedesignsolutions/openbmc

repo_name: hyvedesignsolutions/openbmc


text:
require rpb-console-image.bb

SUMMARY = "Basic console image for LKFT"

IMAGE_ROOTFS_EXTRA_SPACE = "1048576"

CORE_IMAGE_BASE_INSTALL += " \
    packagegroup-rpb-tests \
    packagegroup-rpb-lkft \
    "

repository: paolo-github/meta-rpb

repo_name: paolo-github/meta-rpb


text:
package version

import "runtime"

func init() {
	switch runtime.GOARCH {
	case "386":
		OSVersion.Architecture = ArIntelX86
	case "amd64":
		OSVersion.Architecture = ArIntelX64
	case "arm":
		OSVersion.Architecture = ArARM32
	case "arm64":
		OSVersion.Architecture = ArARM64
	default:
	}
	initOSVersion()
}


text:
@misc{zolotareva2020flimma,
      title={Flimma: a federated and privacy-preserving tool for differential gene expression analysis},
      author={Olga Zolotareva and Reza Nasirigerdeh and Julian Matschinske and Reihaneh Torkzadehmahani and Tobias Frisch and Julian Späth and David B. Blumenthal and Amir Abbasinejad and Paolo Tieri and Nina K. Wenke and Markus List and Jan Baumbach},
      year={2020},
      eprint={2010.16403},
      archivePrefix={arXiv},
      primaryClass={q-bio.QM}
}

repository: biomedbigdata/website

repo_name: biomedbigdata/website


text:
package types

import (
	sdk "github.com/cosmos/cosmos-sdk/types"
	"github.com/tendermint/tendermint/crypto"
)

var pool = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"

type Session struct {
	TotalLockedCoins sdk.Coins
	ReleasedCoins    sdk.Coins
	Counter          int64
	Timestamp        int64
	VpnPubKey        crypto.PubKey
	CPubKey          crypto.PubKey
	CAddress         sdk.AccAddress
	Status           uint8
}

func GetNewSessionMap(coins sdk.Coins, vpnpub crypto.PubKey, cpub crypto.PubKey, caddr sdk.AccAddress, time int64) Session {
	return Session{
		TotalLockedCoins: coins,
		ReleasedCoins:    coins.Minus(coins),
		VpnPubKey:        vpnpub,
		CPubKey:          cpub,
		Timestamp:        time,
		CAddress:         caddr,
		Status:           1,
	}

}

/*Status of the Session
1 : for active session
0: for closed session

*/

branch_name: refs/heads/develop

gha_language: JavaScript