A Gini approach to spatial CO2 emissions

Combining global gridded population and fossil fuel based CO2 emission data at 1 km scale, we investigate the spatial origin of CO2 emissions in relation to the population distribution within countries. We depict the correlations between these two datasets by a quasi-Lorenz curve which enables us to discern the individual contributions of densely and sparsely populated regions to the national CO2 emissions. We observe pronounced country-specific characteristics and quantify them using an indicator resembling the Gini-index. As demonstrated by a robustness test, the Gini-index for each country arise from a compound distribution between the population and emissions which differs among countries. Relating these indices with the degree of socio-economic development measured by per capita Gross Domestic Product (GDP) at purchase power parity, we find a strong negative correlation between the two quantities with a Pearson correlation coefficient of -0.71. More specifically, this implies that in developing countries locations with large population tend to emit relatively more CO2, and in developed countries the opposite tends to be the case. Based on the relation to urban scaling, we discuss the implications for CO2 emissions from cities. Our results show that general statements with regard to the (in)efficiency of large cities should be avoided as it is subject to the socio-economic development of respective countries. Concerning the political relevance, our results suggest a differentiated spatial prioritization in deploying climate change mitigation measures in cities for developed and developing countries

Preparation of hospitals for mass casualty incidents in Bavaria, Germany: care capacities for penetrating injuries and explosions in TerrorMASCALs

Background In a terror attack mass casualty incident (TerrorMASCAL), compared to a “normal” MASCAL, there is a dynamic course that can extend over several hours. The injury patterns are penetrating and perforating injuries. This article addresses the provision of material and personnel for the care of special injuries of severely injured persons that may occur in the context of a TerrorMASCAL. Methods To answer the research question about the preparation of hospitals for the care of severely injured persons in a TerrorMASCAL, a survey of trauma surgery departments in Bavaria (Germany) was conducted using a questionnaire, which was prepared in three defined steps based on an expert consensus. The survey is divided into a general, neurosurgical, thoracic, vascular and trauma surgery section. In the specialized sections, the questions relate to the implementation of and material and personnel requirements for special interventions that are required, particularly for injury patterns following gunshot and explosion injuries, such as trepanation, thoracotomy and balloon occlusion of the aorta. Results In the general section, it was noted that only a few clinics have an automated system to notify off-duty staff. When evaluating the data from the neurosurgical section, the following could be established with regard to the performance of trepanation: the regional trauma centers do not perform trepanation but nevertheless have the required material and personnel available. A similar result was recorded for local trauma centers. In the thoracic surgery section, it could be determined that almost all trauma centers that do not perform thoracotomy have the required material available. This group of trauma centers also stated that they have staff who can perform thoracotomy independently. The retrograde endovascular aortic occlusion procedure is possible in 88% of supraregional, 64% of regional and 10% of local trauma centers. Pelvic clamps and external fixators are available at all trauma centers. Conclusion The results of the survey show potential for optimization both in the area of framework conditions and in the care of patients. Consistent and specific training measures, for example, could improve the nationwide performance of these special interventions. Likewise, it must be discussed whether the abovementioned special procedures should be reserved for higher-level trauma centers

Metabolic Engineering of Pseudomonas putida KT2440 for enhanced rhamnolipid production

The production of chemicals and fuels is mainly based on fossil resources. The reduced availability of these resources and thus the increasing prices for crude oil as well as the resulting pollution of the environment require alternative strategies to be developed. One approach is the employment of microorganisms for the production of platform molecules using renewable resources as substrate. Biosurfactants, such as rhamnolipids, are an example for such products as they can be naturally produced by microorganisms and are biodegradable in contrast to chemical surfactants. The bio-based production of chemicals has to be efficient and sustainable to become competitive on the market. Several strategies can be applied to increase the efficiency of a microbial cell factory, e.g., streamlining the chassis. Here, we show the heterologous production of rhamnolipids with the non-pathogenic Pseudomonas putida KT2440 with the aim of increasing the yield. P. putida KT2440 is a well-characterized microorganism and its genome is sequenced and well annotated. Thus, the targeted removal of genes is possible and can lead to a reduction of the metabolic burden and by-product formation, which can result in a higher yield. Furthermore, the efficient supply of precursors is an important factor for optimized production processes. Rhamnolipids are amphiphilic molecules containing rhamnose and ß-hydroxy fatty acids. These precursors are synthesized by two pathways, the fatty acid de novo synthesis and the rhamnose pathway. We performed gene deletions to avoid the synthesis of by-products, like pyoverdine, exopolysaccharides, and large surface proteins and energy consuming devices as the flagellum. Most of the genome-reduced mutants reached a higher yield compared to the strain with wildtype background. With the best chassis, the yield could be increased by 35%. Furthermore, we conducted the overexpression of genes for precursor supply, either plasmid-based or genomically integrated. In this regard, the genes for the phosphoglucomutase, the complete rhamnose-synthesis pathway operon, and different enzymes in the pathway for acetyl-CoA synthesis were targeted. Various combinations were tested, and the highest yield reached was 51% higher compared to the initial rhamnolipid producer. Finally, a genome-reduced mutant was equipped with the overexpression modules and the rhamnolipid titer was increased from approximately 590 mg/L for the wildtype background to 960 mg/L, which represents a 63% increase. In conclusion, we were able to enhance the yield of rhamnolipids per glucose using metabolic engineering

Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth Estimation

Target disambiguation is a common problem in gaze interfaces, as eye tracking has accuracy and precision limitations. In 3D environments this is compounded by objects overlapping in the field of view, as a result of their positioning at different depth with partial occlusion. We introduce \textit{VOR depth estimation}, a method based on the vestibulo-ocular reflex of the eyes in compensation of head movement, and explore its application to resolve target ambiguity. The method estimates gaze depth by comparing the rotations of the eye and the head when the users look at a target and deliberately rotate their head. We show that VOR eye movement presents an alternative to vergence for gaze depth estimation, that is feasible also with monocular tracking. In an evaluation of its use for target disambiguation, our method outperforms vergence for targets presented at greater depth

Different paths to the modern state in Europe: the interaction between domestic political economy and interstate competition

Theoretical work on state formation and capacity has focused mostly on early modern Europe and on the experience of western European states during this period. While a number of European states monopolized domestic tax collection and achieved gains in state capacity during the early modern era, for others revenues stagnated or even declined, and these variations motivated alternative hypotheses for determinants of fiscal and state capacity. In this study we test the basic hypotheses in the existing literature making use of the large date set we have compiled for all of the leading states across the continent. We find strong empirical support for two prevailing threads in the literature, arguing respectively that interstate wars and changes in economic structure towards an urbanized economy had positive fiscal impact. Regarding the main point of contention in the theoretical literature, whether it was representative or authoritarian political regimes that facilitated the gains in fiscal capacity, we do not find conclusive evidence that one performed better than the other. Instead, the empirical evidence we have gathered lends supports to the hypothesis that when under pressure of war, the fiscal performance of representative regimes was better in the more urbanized-commercial economies and the fiscal performance of authoritarian regimes was better in rural-agrarian economie

Enzymes for consumer products to achieve climate neutrality

29 pags., 4 figs., 3 tabs., 1 graf.Accumulated greenhouse gas emissions are expected to increase from 36.2 Giga-tons (Gt) to 60 Gt over the next three decades. The global surface temperature has increased by¿+¿1.09¿°C since 2001, and might increase by¿+¿2.2¿°C in 2100, +3.6¿°C in 2200 and +4.6¿°C in 2500. These emissions and temperature rises cannot be reduced in their entirety, but they can be lowered by using enzymes. Enzymes are proteins that catalyze biochemical reactions that make life possible since 3.8 billion years ago. Scientists have been able to "domesticate" them in such a way that enzymes, and their engineered variants, are now key players of the circular economy. With a world production of 117 Kilo-tons and a trade of 14.5 Billion-dollars, they have the potential to annually decrease CO2 emissions by 1 to 2.5 Billion-tons (Bt), the carbon demand to synthesise chemicals by 200 Million tons (Mt), the amount of chemicals by 90¿Mt, and the economic losses derived from global warming by 0.5%, while promoting biodiversity and our planet¿s health. Our success to increase these benefits will depend on better integration of enzymatic solutions in different sectors.This study was conducted under the auspices of the FuturEnzyme Project funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101000327. MF also acknowledges Grants PID2020-112758RB-I00, PDC2021-121534-I00, and TED2021-130544B-I00 from the MCIN/AEI/10.13039/501100011033 and the European Union (“NextGenerationEU/PRTR”)

Can the understory affect the Hymenoptera parasitoids in a Eucalyptus plantation?

The understory in forest plantations can increase richness and diversity of natural enemies due to greater plant species richness. The objective of this study was to test the hypothesis that the presence of the understory and climatic season in the region (wet or dry) can increase the richness and abundance of Hymenoptera parasitoids in Eucalyptus plantations, in the municipality of Belo Oriente, Minas Gerais State, Brazil. In each eucalyptus cultivation (five areas of cultivation) ten Malaise traps were installed, five with the understory and five without it. A total of 9,639 individuals from 30 families of the Hymenoptera parasitoids were collected, with Mymaridae, Scelionidae, Encyrtidae and Braconidae being the most collected ones with 4,934, 1,212, 619 and 612 individuals, respectively. The eucalyptus stands with and without the understory showed percentage of individuals 45.65% and 54.35% collected, respectively. The understory did not represent a positive effect on the overall abundance of the individuals Hymenoptera in the E. grandis stands, but rather exerted a positive effect on the specific families of the parasitoids of this order

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

The visual mismatch negativity (vMMN) response is an event-related potential (ERP) component, which is automatically elicited by events that violate predictions based on prior events. VMMN experiments use visual stimulus repetition to induce predictions, and vMMN is obtained by subtracting the response to rare unpredicted stimuli from those to frequent stimuli. One increasingly popular interpretation of the mismatch response postulates that vMMN, similar to its auditory counterpart (aMMN), represents a prediction error response generated by cortical mechanisms forming probabilistic representations of sensory signals. Here we discuss the physiological and theoretical basis of vMMN and review thirty-three studies from the emerging field of its clinical applications, presenting a meta-analysis of findings in schizophrenia, mood disorders, substance abuse, neurodegenerative disorders, developmental disorders, deafness, panic disorder and hypertension. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensory modality and thus of vital importance in environmental information processing and response, and a modality which arguably may be more sensitive to some pathological changes. However, due to the relative infancy of research in vMMN compared to aMMN in clinical populations its potential for clinical application is not yet fully appreciated. The aim of this review and meta-analysis therefore is to present, in a detailed systematic manner, the findings from clinically-based vMMN studies, to discuss their potential impact and application, to raise awareness of this measure and to improve our understanding of disease upon fundamental aspects of visual information processing