The FAIR Guiding Principles for scientific data management and stewardship

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community

Tehnološki aspekti industrijske proizvodnje dječje hrane na bazi mlijeka

Idealna hrana za dojenčad - ženino mlijeko, nije uvijek praktički na raspolaganju ili ga nema u dovoljnoj količini. Kao najbolja i jedina zamjena tome mlijeku, odnosno kao sirovina za preradu u dojenačku i dječju hranu, služi kravlje mlijeko

Investigating pop chemicals in ambient air from Fiji Islands

There is limited scientific data available on organochlorine pesticides (OCPs) like dichlorodiphenyltrichloroethane (DDT) or Lindane (_-HCH), polychlorinated biphenyls (PCBs) and polyaromatic hydrocarbons (PAHs) concentrations in ambient air of Fiji Islands. Concentrations of OCPs, PCBs and PAHs were determined in ambient air from three major metrological stations in Fiji Islands using passive air samplers (PAS) containing polyurethane foam disks (PUF). Generally, total concentrations for OCPs, PCBs and PAHs was low, indicative of a relatively “low contaminated” ambient environment. Concentration ranges of total DDTs, PCBs and _-HCH were 10 – 23 pg m-3, 5 – 53 pg m-3 and 8 -113 pg m- 3, respectively. Noticeably, comparatively higher concentrations for _-HCH were found at Nausori for all sampling seasons. The presence of _-HCH in ambient air from Nausori suggests either recent illegal use of the chemical on nearby farms or emission from river sediment due to increased dredging activity close to the sampling site. Confirmatory tests found relatively higher concentration of Pyrene, Fluoranthene and Phenanthrene towards total PAH (16 EPA) in the ambient samples taken within the vicinity of urban and industrial areas. This is likely from vehicular emissions in addition to small scale industrial emissions

Essays on heterogeneous agents, occupational choice, and development

Defence date: 23 July 2014Examining Board: Prof. Piero Gottardi, Supervisor, EUI; Prof. Patrick Legros, Université Libre de Bruxelles, ECARES; Prof. Massimo Morelli, Columbia University; Prof. José V. Rodriguez Mora, University of EdinburghThe aim of this thesis is to contribute to our understanding of the consequences of economic development on the occupational choice of agents and its effects on macroeconomic variables, such as structural change and income inequality. The interplay between different types of agents is at the center of my research, both when it comes to matching between agents and sorting from agents to sectors. The first chapter focuses on the role of financial development for structural change. When credit constrained, more talented agents sort into more labor-intensive sectors than less talented agents. When borrowing becomes more available, talented agents sort into capital-intensive sectors to optimally leverage their talent. Consequently, the capital rental rates rise and less talented agents sort into labor-intensive sectors. Thus, financial development reverses the sorting pattern. Furthermore, simulation results indicate that employment shares increase in relatively labor-intensive sectors. I show that the empirical data is consistent with these theoretical findings. In the second chapter, I analyze the consequences of cooperation on inequality. I develop a heterogeneous agents model of cooperation distinguishing between two types of cooperation, between-task and within-task cooperation. The former is the opportunity to assign different tasks to different agents. The latter is the reassignment of tasks from one agent to another in cases where the first agent fails. Cooperation increases inequality at the top and decreases inequality at the bottom. Within-task cooperation is more inequality-enhancing than between-task cooperation. I also show that cooperation can lead to a greater skill premium in economies with a more dispersed talent distribution

Radiother Oncol

Introduction The aim of this study was to identify subgroups of locally advanced NSCLC patients with a distinct treatment response during concurrent chemoradiotherapy (CCRT). Subsequently, we investigated the association of subgroup membership with treatment outcomes. Methods 394 NSCLC-patients treated with CCRT between 2007 and 2013 were included. Gross Tumor Volume (GTV) during treatment was determined and relative GTV-volume change from the planning-CT was subsequently calculated. Latent Class Mixed Modeling (LCMM) was used to identify subgroups with distinct volume changes during CCRT. The association of subgroup membership with overall survival (OS), progression free survival (PFS) and local regional control (LRC) was assessed using cox regression analyses. Results Three subgroups of GTV-volume change during treatment were identified, with each subsequent subgroup showing a more profound reduction of GTV during treatment. No associations between subgroup membership and OS, PFS nor LRC were observed. Nonetheless, baseline GTV (HR1.42; 95%CI 1.06–1.91) was significantly associated with OS. Conclusions Three different subgroups of GTV-volume change during treatment were identified. Surprisingly, these subgroups did not differ in their risk of treatment outcomes. Only patients with a larger GTV at baseline had a significantly worse OS. Therefore, risk stratification at baseline might already be accurate in identifying the best treatment strategy for most patients