Anthropogenic nitrogen and phosphorus emissions and related grey water footprints caused by EU-27's crop production and consumption

Water is a prerequisite for life on our planet. Due to climate change and pollution, water availability for agricultural production, industry and households is increasingly put at risk. With agriculture being the largest water user as well as polluter worldwide, we estimate anthropogenic nitrogen and phosphorus emissions to fresh water related to global crop production at a spatial resolution level of 5 by 5 arc min and calculate the grey water footprints (GWF) related to EU-27′s crop production. A multiregional input-output model is used to trace the the GWF embodied in the final consumption of crop products by the EU-27. The total GWF related to crop production in the EU-27 in 2007 was 1 × 1012 m3/year. Spain contributed about 40% to this total. Production of cereals (wheat, rice and other cereals) take the largest share, accounting for 30% of the GWF, followed by fruits (17%), vegetables (14%), and oil crops (13%). The total agricultural GWF of the EU-27 related to crop consumption was 1830 billion m3/year, which is 3700 m3/year per capita on average. Overall, the EU-27 was able to externalize about 41% of the GWF to the rest of the world through imports of crop product

Knowledge-based gene expression classification via matrix factorization

Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze gene expression profiles. These exploratory feature extraction techniques yield expression modes (ICA) or metagenes (NMF). These extracted features are considered indicative of underlying regulatory processes. They can as well be applied to the classification of gene expression datasets by grouping samples into different categories for diagnostic purposes or group genes into functional categories for further investigation of related metabolic pathways and regulatory networks. Results: In this study we focus on unsupervised matrix factorization techniques and apply ICA and sparse NMF to microarray datasets. The latter monitor the gene expression levels of human peripheral blood cells during differentiation from monocytes to macrophages. We show that these tools are able to identify relevant signatures in the deduced component matrices and extract informative sets of marker genes from these gene expression profiles. The methods rely on the joint discriminative power of a set of marker genes rather than on single marker genes. With these sets of marker genes, corroborated by leave-one-out or random forest cross-validation, the datasets could easily be classified into related diagnostic categories. The latter correspond to either monocytes versus macrophages or healthy vs Niemann Pick C disease patients.Siemens AG, MunichDFG (Graduate College 638)DAAD (PPP Luso - Alem˜a and PPP Hispano - Alemanas

Mapping global extraction of abiotic and biotic raw materials

Reducing global environmental and social impacts related to final consumption is a significant societal as well as scientific challenge, especially as production and consumption are increasingly geographically disconnected via complex supply chains. Tracing the interlinkages between consumption and production as well as related impacts in a spatially explicit way can contribute to overcoming this challenge. Currently, the spatial resolution of global models of raw material extraction, trade and consumption is limited to the national level. Thus, they fail to link specific supply chains to the actual geographical location of production and related impacts. Detailed global spatiotemporal datasets would allow tracing the heterogeneity of environmental and social conditions within producing countries. In this contribution, we present our preliminary results mapping global biotic and abiotic raw materials extraction in 5-arc-minutes (around 10 km x 10 km at the equator) grid cell level, starting from the year 2000. Our datasets will include around 60 different raw materials, covering crops, fishery, fossil energy resources, metal ores and non-metallic minerals. In the future, our database will also include spatially explicit data on environmental and social impacts related to the extraction of these raw materials. The new database, methods, and algorithms will be openly available to the research community and the wider public, supporting open and reproducible science. Our novel database will allow developing new methods to assess the interlinkages between consumption and various environmental and social impacts related to extraction on a grid cell level. It can boost the spatially explicit assessments of supply chains and consumption patterns in both developed and developing countries, which is crucial for the design of international policy instruments to achieve sustainable production and consumption patterns

Anthropogenic Nitrogen and Phosphorus Emissions and Related Grey Water Footprints Caused by EU-27's Crop Production and Consumption

Water is a prerequisite for life on our planet. Due to climate change and pollution, water availability for agricultural production, industry and households is increasingly put at risk. With agriculture being the largest water user as well as polluter worldwide, we estimate anthropogenic nitrogen and phosphorus emissions to fresh water related to global crop production at a spatial resolution level of 5 by 5 arc min and calculate the grey water footprints (GWF) related to EU-27's crop production. A multiregional input-output model is used to trace the the GWF embodied in the final consumption of crop products by the EU-27. The total GWF related to crop production in the EU-27 in 2007 was 1 × 1012 m3/year. Spain contributed about 40% to this total. Production of cereals (wheat, rice and other cereals) take the largest share, accounting for 30% of the GWF, followed by fruits (17%), vegetables (14%), and oil crops (13%). The total agricultural GWF of the EU-27 related to crop consumption was 1830 billion m3/year, which is 3700 m3/year per capita on average. Overall, the EU-27 was able to externalize about 41% of the GWF to the rest of the world through imports of crop products

No age effect in the prevalence and clinical significance of ultra-high risk symptoms and criteria for psychosis in 22q11 deletion syndrome: Confirmation of the genetically driven risk for psychosis?

BACKGROUND: The 22q11.2 deletion syndrome (22q11DS) is one of the highest known risk factors for schizophrenia. Thus, the detection of 22q11DS patients at particularly high risk of psychosis is important, yet studies on the clinical significance of the widely used ultra-high risk (UHR) criteria in 22q11DS are inconclusive. Since age was reported to moderate clinical significance of UHR symptoms in community samples, we explored whether age at presentation of UHR symptoms and criteria may explain part of this heterogeneity. METHODS: 111 patients with 22q11DS (8-30 years; 15.7±4.7) were assessed for UHR symptoms/criteria. Information on diagnoses, psychosocial functioning, and IQ were collected. RESULTS: Any UHR symptom was reported by 38.7%, any UHR criterion by 27%. No significant influence of age on the prevalence of UHR symptoms or criteria was detected. Moreover, age did not significantly modulate the association between UHR symptoms and functioning. However, significant interaction terms suggested that younger age groups were more likely to meet UHR criteria in the presence of UHR symptoms compared to the adult group. DISCUSSION: Compared to the general population, prevalence of UHR symptoms and criteria was 3.8-fold and 20.8-fold in our 22q11DS sample. Contrary to the general population, age only modulated the prevalence of UHR criteria among those with UHR symptoms, but not their prevalence per se or their clinical significance. This suggests that UHR symptoms might develop as a trait factor in terms of a genetically driven schizotypal disposition in 22q11DS, thus necessitating future studies on psychosis-risk indicators in this genetic high-risk group

Identification of the slow E3 transition 136mCs -> 136Cs with conversion electrons

We performed at ISOLDE the spectroscopy of the decay of the 8- isomer in 136Cs by and conversion-electron detection. For the first time the excitation energy of the isomer and the multipolarity of its decay have been measured. The half-life of the isomeric state was remeasured to T1/2 = 17.5(2) s. This isomer decays via a very slow 518 keV E3 transition to the ground state. In addition to this, a much weaker decay branch via a 413 keV M4 and a subsequent 105 keV E2 transition has been found. Thus we have found a new level at 105 keV with spin 4+ between the isomeric and the ground state. The results are discussed in comparison to shell model calculations.Comment: Phys. Rev. C accepted for publicatio

The Adoption of Lotteries in the United States, 1964–2007: A Model of Conditional and Time-dynamical Diffusion

The paper examines the determinants of the diffusion of state lotteries as a process of policy innovation. After more than 100 years of prohibition, U.S. states began to establish lotteries in the 1960s. The article uses statistical event history analysis to show that the adoption and diffusion of state lotteries depends on fiscal, political, and regional factors of competition as well as on normative factors of social legitimization. The article develops two further arguments, first by discussing an advanced model of regional diffusion that views the regional effect as being dependent on the ideologicalinstitutional context and second by analyzing time dynamics in the diffusion process to show how initial explanatory factors change over time. In general, the findings point to the institutional environment as a factor influencing the diffusion of organizations.Der Aufsatz beschäftigt sich mit den Determinanten der Diffusion staatlicher Lotterien als Beispiel einer politischen Innovation. Nach einer Verbotszeit von mehr als einhundert Jahren führten US-Bundesstaaten Lotterien ab den 1960er-Jahren schrittweise wieder ein. Anhand von statistischen Ereignisdatenanalysen zeigt der Beitrag, dass der Diffusionsprozess von fiskalischen, politischen und regionalen Faktoren ebenso wie von normativen Faktoren der sozialen Legitimierung abhängt. Der Aufsatz stellt zwei weitere Aspekte heraus, die empirisch demonstriert werden: Zum einen wird ein erweitertes regionales Diffusionsmodell diskutiert, das die räumliche Ausbreitung in Abhängigkeit zur ideologischen Struktur angrenzender Staaten erfasst; zum anderen wird die zeitliche Dynamik des Prozesses modelliert. Hierfür ist der soziologische Neo-Institutionalismus der theoretische Bezugspunkt, und es wird angenommen, dass mit zunehmender Dauer des Diffusionsprozesses die ursprünglichen Kausalfaktoren ihre Erklärungskraft zugunsten eines Bedeutungsgewinns von Legitimitätsaspekten verlieren. Die Ergebnisse dokumentieren isomorphische Adaptionsprozesse und in organisationsökologischer Hinsicht die Bedeutung institutioneller Umwelten für die Ausbreitung von Organisationen.1 Introduction 2 The reintroduction and spread of state lotteries in the United States since 1964 3 Explaining the diffusion of lotteries (Fiscal) Economic factors: State lotteries to cover revenue Political factors: Lottery as a politically attractive tool Social factors: Religiously motivated gambling opposition Regional factors: Lottery diffusion across neighboring states 4 Empirical analysis Data and methods Predictors Results 5 Conclusion Reference

Creative Success and Network Embeddedness: Explaining Critical Recognition of Film Directors in Hollywood, 1900–2010

This article analyzes how social network structures affect career success in a projectbased labor market. The literature on team success has shown that teams perform well if they integrate both weak and strong ties simultaneously. Applying the literature to careers in the creative industries, the study suggests that creative artists are more likely to receive critical recognition if they build their careers in both familiar project networks and heterogeneous sets of creative conventions. It is argued that familiarity and diversity operate as complementary elements in the development of innovative ideas. While diversity is important to maximize the flow of new ideas, it needs to be embedded within trustworthy and familiar network structures in order to fully develop its creative potential. The suggested mechanism is tested by means of full career data of 55,097 film directors, covering 478,859 directing jobs in 330,142 film productions during the years 1900–2010. It is shown that familiarity and diversity explain a considerable part of a director’s critical success. Results from interaction effects show that diversity has greater effects on critical success if it is socially embedded within familiar social structures. The article contributes to the emerging understanding of the role of group processes and network structures in explaining individual career success.Dieser Artikel untersucht, wie soziale Netzwerkstrukturen Karriereerfolg auf einem projektbasierten Arbeitsmarkt bestimmen. Auf der Grundlage von Forschung zu Teamerfolg argumentiert der Beitrag, dass Karriereerfolg in Kreativberufen wahrscheinlicher wird, wenn Karrieren sich sowohl in vertrauten als auch in diversen, mit heterogenen Konventionen ausgestatteten Projektnetzwerken bewegen. Vertrautheit und Diversität wirken als komplementäre Elemente in der Entwicklung innovativer Ideen. Zwar fördert das Element der Diversität den optimalen Austausch neuer Ideen, allerdings muss es, damit sich sein kreatives Potenzial vollständig entfalten kann, zugleich in vertrauensvollen Netzwerkstrukturen eingebettet sein. Anhand eines vollständigen Karrieredatensatzes, der Karriereprofile von 55.097 Filmregisseuren in 478.859 Engagements und 330.142 Filmproduktionen in den Jahren 1900 bis 2010 einbezieht, wird dieser Mechanismus getestet. Es zeigt sich, dass sowohl Vertrautheit als auch Diversität einen Großteil des Kritiker- und Karriereerfolgs der Regisseure erklären. Interaktionseffekte zeigen zudem, dass Diversität einen stärkeren Effekt auf künstlerischen Erfolg ausübt, wenn sie in vertrauten Strukturen eingebettet ist. Insgesamt erweitert die Studie unser Verständnis davon, wie Gruppen- und Netzwerkstrukturen individuellen Karriereerfolg beeinflussen.1 Introduction 2 Theory 3 Data and method Dependent variable Predictors Covariates Analytical strategy 4 Results 5 Discussion and conclusion Appendix Technical details on the construction of the study’s predictors Additional tables Reference