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Association between neighbourhood air pollution concentrations and dispensed medication for psychiatric disorders in a large longitudinal cohort of Swedish children and adolescents
Depression and anxiety symptoms in asthmatics: Associations with health-related quality of life
Traffic-related air pollution and dementia incidence in Northern Sweden: a longitudinal study
Emergency hospital visits in association with volcanic ash, dust storms and other sources of ambient particles: a time-series study in Reykjavik, Iceland
Military Rivalries, Alliances and Taxation : The International Origins of Modern Fiscal Contracts
Bellicist theories of comparative development predict increases in taxation as the result of military rivalries. Others claim that this causal relationship is contingent on particular geographical, institutional, and historical conditions. In this paper, we explore the conditional effects of military rivalries on taxation during the 19th and 20th centuries using time-series cross-section models. W
Hydrogen sulfide and traffic-related air pollutants in association with increased mortality: a case-crossover study in Reykjavik, Iceland
Brutal Need : Lawyers and the Welfare Rights Movement, 1960-1973
Ground-level ozone levels are associated with acute hospital admissions and emergency room visits in Reykjavik, Iceland
Impact of residential mobility on exposure assessment in longitudinal air pollution studies: A sensitivity analysis within the ESCAPE project
Fish consumption and ischemic stroke in Southern Sweden
Risk of testicular cancer according to birthplace and birth cohort in Denmark
Digoxin use and the risk of breast cancer in women
Human Rights Advocacy in the United States
Testicular cancer risk in first-and second-generation immigrants to Denmark
Volcanic ash and daily mortality in Sweden after the icelandic volcano eruption of May 2011
Risk of Retinal Detachment After Pediatric Cataract Surgery
Thinking Globally, Acting Locally: States, Municipalities, and International Human Rights
Air pollution and lung cancer in Europe - Authors' reply
Robust Non-Negative Least Squares Using Sparsity
Sparse, non-negative signals occur in many applications. To recover such signals, estimation posed as non-negative least squares problems have proven to be fruitful. Efficient algorithms with high accuracy have been proposed, but many of them assume either perfect knowledge of the dictionary generating the signal, or attempts to explain deviations from this dictionary by attributing them to compon