Spatial behavior in groups: an agent-based approach

We present an agent-based model with the aim of studying how macro-level dynamics of spatial distances among interacting individuals in a closed space emerge from micro-level dyadic and local interactions. Our agents moved on a lattice (referred to as a room) using a model implemented in a computer program called P-Space in order to minimize their dissatisfaction, defined as a function of the discrepancy between the real distance and the ideal, or desired, distance between agents. Ideal distances evolved in accordance with the agent's personal and social space, which changed throughout the dynamics of the interactions among the agents. In the first set of simulations we studied the effects of the parameters of the function that generated ideal distances, and in a second set we explored how group macrolevel behavior depended on model parameters and other variables. We learned that certain parameter values yielded consistent patterns in the agents' personal and social spaces, which in turn led to avoidance and approaching behaviors in the agents. We also found that the spatial behavior of the group of agents as a whole was influenced by the values of the model parameters, as well as by other variables such as the number of agents. Our work demonstrates that the bottom-up approach is a useful way of explaining macro-level spatial behavior. The proposed model is also shown to be a powerful tool for simulating the spatial behavior of groups of interacting individuals.

Report on initial experience with local anaesthesia for carotid artery endarterectomy.

PURPOSE OF THE STUDY: This prospective study reports our preliminary results with local anaesthesia (LA) for carotid endarterectomy (CEA). MATERIAL AND METHODS: Twenty CEA in nineteen patients were performed using a three-stage local infiltration technique. CEA were performed through a short Duplex-assisted skin incision (median length: 55 mm) using a retro-jugular approach and polyurethane patch closure (median length: 35 mm). RESULTS: There were 13 men and 6 women with a mean age of 71.2 years. The indications of CEA were asymptomatic lesions in 11 cases, stroke in 7 cases and transient ischaemic attack in 2 cases. The median degree of internal carotid artery stenosis was 90%. One patient (5%) required an intraluminal shunt. There were no peri-operative deaths, stroke or conversion to general anaesthesia (GA). The median length of stay was 3 days. CONCLUSIONS: LA is a good alternative to GA. It can be used after a feasibility study and a short teaching procedure. In our centre, it is a safe and effective procedure associated with low morbidity, high acceptance by patients and a short hospital stay.

3D coronary vessel wall imaging utilizing a local inversion technique with spiral image acquisition.

Current 2D black blood coronary vessel wall imaging suffers from a relatively limited coverage of the coronary artery tree. Hence, a 3D approach facilitating more extensive coverage would be desirable. The straightforward combination of a 3D-acquisition technique together with a dual inversion prepulse can decrease the effectiveness of the black blood preparation. To minimize artifacts from insufficiently suppressed blood signal of the nearby blood pools, and to reduce residual respiratory motion artifacts from the chest wall, a novel local inversion technique was implemented. The combination of a nonselective inversion prepulse with a 2D selective local inversion prepulse allowed for suppression of unwanted signal outside a user-defined region of interest. Among 10 subjects evaluated using a 3D-spiral readout, the local inversion pulse effectively suppressed signal from ventricular blood, myocardium, and chest wall tissue in all cases. The coronary vessel wall could be visualized within the entire imaging volume.

Global periodicity conditions for maps and recurrences via Normal Forms

We face the problem of characterizing the periodic cases in parametric families of (real or complex) rational diffeomorphisms having a fixed point. Our approach relies on the Normal Form Theory, to obtain necessary conditions for the existence of a formal linearization of the map, and on the introduction of a suitable rational parametrization of the parameters of the family. Using these tools we can find a finite set of values p for which the map can be p-periodic, reducing the problem of finding the parameters for which the periodic cases appear to simple computations. We apply our results to several two and three dimensional classes of polynomial or rational maps. In particular we find the global periodic cases for several Lyness type recurrences

Simulated-annealing-based conditional simulation for the local-scale characterization of heterogeneous aquifers

Simulated-annealing-based conditional simulations provide a flexible means of quantitatively integrating diverse types of subsurface data. Although such techniques are being increasingly used in hydrocarbon reservoir characterization studies, their potential in environmental, engineering and hydrological investigations is still largely unexploited. Here, we introduce a novel simulated annealing (SA) algorithm geared towards the integration of high-resolution geophysical and hydrological data which, compared to more conventional approaches, provides significant advancements in the way that large-scale structural information in the geophysical data is accounted for. Model perturbations in the annealing procedure are made by drawing from a probability distribution for the target parameter conditioned to the geophysical data. This is the only place where geophysical information is utilized in our algorithm, which is in marked contrast to other approaches where model perturbations are made through the swapping of values in the simulation grid and agreement with soft data is enforced through a correlation coefficient constraint. Another major feature of our algorithm is the way in which available geostatistical information is utilized. Instead of constraining realizations to match a parametric target covariance model over a wide range of spatial lags, we constrain the realizations only at smaller lags where the available geophysical data cannot provide enough information. Thus we allow the larger-scale subsurface features resolved by the geophysical data to have much more due control on the output realizations. Further, since the only component of the SA objective function required in our approach is a covariance constraint at small lags, our method has improved convergence and computational efficiency over more traditional methods. Here, we present the results of applying our algorithm to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the local-scale porosity structure. Our procedure is first tested on a synthetic data set, and then applied to data collected at the Boise Hydrogeophysical Research Site.

Origin of needle fibre calcite (NFC) : a geochemical approach

ABSTRACTNeedle fibre calcite (NFC) is one of the most widespread habits of pedogenic calcite. It is a monocrystal of calcite, in the shape of a needle, with a diameter of one micron and a length between 4 and 103 times its width. NFC occurs in soils with different macroscopic and microscopic morphologies. Macroscopically, two main habits of NFC exist: "cotton ball'Mike clusters and as "powder" coating on pebbles inside the soil. It can also act as nucleation sites for precipitation of calcite cements of purely physicochemical origin (LCC - Late Calcitic Cement). Although many studies have been conducted on needle fibre calcite, its origin remains a subject of debate. The NFC having never been reproduced in the laboratory whatever the considered approach, the processes responsible for its precipitation as a so particular morphology remain unexplained. The shift between the length orientation of the needle crystal and the normal axis of calcite growth (c-axis) is also unresolved.Samples taken in two soils observed in quarries (Villiers and Savagnier) in the Swiss Jura Mountains are used to investigate the processes involved in the formation of these calcite crystals in pedogenic environments. Three groups of microscopic morphologies are distinguished: (i) simple needles (SN), (ii) simple needles with overgrowths (SNO), and (iii) simple needles with nanofibres (SNN), nanofibres being either organic or mineral in nature. These groups correspond to different stages in the formation and evolution of NFC.Comparison of carbon and oxygen isotope compositions of NFC with LCC, in relationship with the composition of the carbonate host rock (CHR), and the carbon isotope signature of dissolved inorganic carbon (DIC) from the soil waters, indicates that both NFC and LCC are precipitated in isotopic equilibrium with the soil solution. Similar Ô13C and Ô180 values of the elongated NFC and the rhombohedral calcite crystals of the LCC suggest that the precipitation of these different calcite habits is not due to changes in physicochemical conditions. The growth of NFC crystals inside an organic mould formed by the fungal hyphae could explain the formation of calcite ciystals in the shape of a needle in isotopic equilibrium with the local environment.Strontium and calcium isotope compositions of the three microscopic groups of NFC and LCC were also studied, in order to determine the origin of calcium (Ca2+) entrapped in the calcite lattice and to elucidate the processes responsible for the precipitation of NFC. The 87Sr/86Sr ratio of the SN is closer to the 87Sr/86Sr ratio of the carbonate host rock than the LCC, SNO, and SNN. This could be another clue for the formation of SN inside fungal hyphae, because fungi are known to dissolve the rocks to release and translocate through their hyphae nutrients necessary for their growth. SN and SNN are depleted in Sr and enriched in ^Ca compared to the LCC. In the context of Villiers quarry, where the two ciystal shapes precipitate at similar temperature (in a range of 0,6°C), such variations are the result of a slower precipitation rate of NFC, which is inconsistent with a purely physicochemically precipitated elongate crystal.Finally, NFC is enriched in major and trace elements (i.e. Fe, Zn, Cu, and Mo) compared to the LCC. This enrichment is ascribed to modification in precipitation processes between the NFC and LCC. Right now, it is not possible to preclude the influence of the particular shape of NFC or the biological influence. REEs are not fractionated in NFC, contrary to LCC. Thus, NFC does not precipitate from a percolation solution circulating downward the soil, which should lead to the fractionation of the REEs. As explained above, fungi, are able to dissolve and translocate nutrients. This kind of processes allows releasing elements in the soil solution without fractionation and could explain the particular chemical signature of NFC regarding the REEs.The geochemical approach to investigate the origin of NFC presented in this study does not allow providing direct clues to the fungal origin of NFC, but brings several new insights in the understanding of the formation of such a particular mineral, calcite needles, by precluding definitively their physicochemical origin.RESUMELa calcite en aiguilles (NFC) est l'une des formes les plus ubiquiste de calcite pédogénique. Il s'agit d'un monocrystal de calcite d'un diamètre d'un micron et d'une longueur 4 à 102 fois supérieure à sa largeur. A l'échelle macroscopique, la NFC a été observée sous deux principaux aspects : l'une « cotonneuse » et l'autre formant un mince croûte autour des graviers du sol. La NFC peut également servir de support à la nucléation de ciments secondaires précipités de manière purement physico-chimique (LCC). Malgré les nombreuses études menées sur la NFC, son origine demeure encore inconnue. A ce jour, aucune expérience en laboratoire n'a permis de créer de la calcite en aiguilles, et ce, quelque soit l'approche abordée. Par conséquent, les processus précis responsables de la précipitation calcite avec une telle morphologie restent inconnus. Le décalage existant entre l'axe d'allongement des aiguilles de calcite et l'axe normal de croissance de la calcite (axe c) reste inexpliqué.Des échantillons de NFC, LCC, roche mère, eau de pluie des différents horizons du sol ont été prélevés principalement au front de deux carrières de graviers, ainsi que dans un profil de sol adjacent à ces carrières, dans le but de mieux comprendre les processus à l'origine de la précipitation de calcite en forme d'aiguille. Trois micro-morphologies ont été distinguées: les aiguilles simples (SN), les aiguilles simples avec surcroissances calcitiques (SNO) et enfin les aiguilles simples avec nanofibres (SNN), celles-ci pouvant être de minérales ou organiques. Ces groupes, d'après nos résultats et les études antérieures pourraient correspondre à différentes étapes de formation de la calcite en aiguilles.Dans un premier temps, la comparaison des signatures isotopiques de la calcite en aiguilles, du LCC, de la roche mère et du carbone inorganique dissout dans la solution du sol (CID) indique que la NFC, tout comme le LCC, précipite en équilibre avec la solution du sol. Les valeurs similaires en Ô13C et δ180 de cristaux de calcite allongés (NFC) et rhombohédriques (LCC) formés dans un même milieu suggère que ces différences morphologiques ne peuvent pas être attribuées à des modifications purement physico-chimiques. La croissance de NFC à l'intérieur d'un moule organique comme les hyphes de champignons semble être la seule hypothèse plausible permettant d'expliquer la formation de monocrystaux allongés de calcite en équilibre avec leur environnement.La composition isotopique en strontium (Sr) et calcium (Ca) des LCC et des trois micro¬morphologies de la NFC ont été étudiées également, afin de déterminer l'origine du Ca2+ présent dans le réseau cristallin de la calcite en aiguilles, ainsi que les processus responsables de la formation de NFC. Les valeurs du rapport 87Sr/86$r de la forme SN sont les plus proches de celles de la roche mère par rapport aux formes SNN et SNO et du LCC. Ceci pourrait être un nouvel indice de l'implication des champignons dans la précipitation de calcite en aiguilles, puisqu'ils sont connus pour avoir la capacité de dissoudre les roches afin de libérer les nutriments nécessaires à leur croissance, ainsi que de les transloquer par leurs hyphes. De plus, les formes SN et SNN sont appauvries en Sr et enrichies en "Ca, comparativement au LCC. Dans le sol étudié, tous les carbonates de calcium précipitent à la même température, par conséquent, de telles variations sont dues à un taux de précipitation plus lent de SN et SNN, ce qui est contradictoire avec l'hypothèse physico-chimique. Pour finir, la NFC est enrichie en certains éléments majeurs et traces (i.e. Fe, Zn, Cu et Mo) par rapport au LCC. Ceci peut être attribué à différents processus de formation entre la NFC et le LCC. Pour le moment il est impossible d'exclure l'influence de la forme particulière de la NFC ou celle du champignon. Les terres rares (REEs) ne sont pas fractionnées dans la NFC, contrairement au LCC. Ceci peut être expliqué par le fait que la NFC précipite à partir d'une solution qui n'a pas percolé à travers le sol. Les champignons en dissolvant les roches mettent en solution éléments sans les fractionner. L'approche géochimique de l'étude de la calcite en aiguilles ne permets pas de produire des preuves directes sur sa potentielle origine fongique, mais permet de mieux comprendre comment un minéral aussi singulier que la NFC peut se former. D'autre pare cette étude permets d'exclure définitivement l'hypothèse physico-chimique de l'origine de la calcite en aiguilles

A consistent extension of the local spin density approximation to account for quantum dot mass and dielectric mismatches

A consistent extension of local spin density approximation (LSDA) to account for mass and dielectric mismatches in nanocrystals is presented. The extension accounting for variable effective mass is exact. Illustrative comparisons with available configuration interaction calculations show that the approach is also very reliable when it comes to account for dielectric mismatches. The modified LSDA is as fast and computationally low demanding as LSDA. Therefore, it is a tool suitable to study large particle systems in inhomogeneous media without much effort.

Potential of local bio-geoengineering to mitigate dangerous temperature increases in a global warming scenario

Crops and forests are already responding to rising atmospheric carbon dioxide and air temperatures. Increasing atmospheric CO2 concentrations are expected to enhance plant photosynthesis. Nevertheless, after long-term exposure, plants acclimate and show a reduction in photosynthetic activity (i.e. down-regulation). If in the future the Earth"s temperature is allowed to rise further, plant ecosystems and food security will both face significant threats. The scientific community has recognized that an increase in global temperatures should remain below 2°C in order to combat climate change. All this evidence suggests that, in parallel with reductions in CO2 emissions, a more direct approach to mitigate global warming should be considered. We propose here that global warming could be partially mitigated directly through local bio-geoengineering approaches. For example, this could be done through the management of solar radiation at surface level, i.e. by increasing global albedo. Such an effect has been documented in the south-eastern part of Spain, where a significant surface air temperature trend of -0.3°C per decade has been observed due to a dramatic expansion of greenhouse horticulture.

Local optima networks of hard combinatorial landscapes

Combinatorial optimization involves finding an optimal solution in a finite set of options; many everyday life problems are of this kind. However, the number of options grows exponentially with the size of the problem, such that an exhaustive search for the best solution is practically infeasible beyond a certain problem size. When efficient algorithms are not available, a practical approach to obtain an approximate solution to the problem at hand, is to start with an educated guess and gradually refine it until we have a good-enough solution. Roughly speaking, this is how local search heuristics work. These stochastic algorithms navigate the problem search space by iteratively turning the current solution into new candidate solutions, guiding the search towards better solutions. The search performance, therefore, depends on structural aspects of the search space, which in turn depend on the move operator being used to modify solutions. A common way to characterize the search space of a problem is through the study of its fitness landscape, a mathematical object comprising the space of all possible solutions, their value with respect to the optimization objective, and a relationship of neighborhood defined by the move operator. The landscape metaphor is used to explain the search dynamics as a sort of potential function. The concept is indeed similar to that of potential energy surfaces in physical chemistry. Borrowing ideas from that field, we propose to extend to combinatorial landscapes the notion of the inherent network formed by energy minima in energy landscapes. In our case, energy minima are the local optima of the combinatorial problem, and we explore several definitions for the network edges. At first, we perform an exhaustive sampling of local optima basins of attraction, and define weighted transitions between basins by accounting for all the possible ways of crossing the basins frontier via one random move. Then, we reduce the computational burden by only counting the chances of escaping a given basin via random kick moves that start at the local optimum. Finally, we approximate network edges from the search trajectory of simple search heuristics, mining the frequency and inter-arrival time with which the heuristic visits local optima. Through these methodologies, we build a weighted directed graph that provides a synthetic view of the whole landscape, and that we can characterize using the tools of complex networks science. We argue that the network characterization can advance our understanding of the structural and dynamical properties of hard combinatorial landscapes. We apply our approach to prototypical problems such as the Quadratic Assignment Problem, the NK model of rugged landscapes, and the Permutation Flow-shop Scheduling Problem. We show that some network metrics can differentiate problem classes, correlate with problem non-linearity, and predict problem hardness as measured from the performances of trajectory-based local search heuristics.

Local adaptation and life history traits evolution in heterogeneous environment : an empirical example in the freshwater snail, Galba truncatula

Abstract: To understand the processes of evolution, biologists are interested in the ability of a population to respond to natural or artificial selection. The amount of genetic variation is often viewed as the main factor allowing a species to answer to selection. Many theories have thus focused on the maintenance of genetic variability. Ecologists and population geneticists have long-suspected that the structure of the environment is connected to the maintenance of diversity. Theorists have shown that diversity can be permanently and stably maintained in temporal and spatial varying environment in certain conditions. Moreover, varying environments have been also theoretically demonstrated to cause the evolution of divergent life history strategies in the different niches constituting the environment. Although there is a huge number of theoretical studies selection and on life history evolution in heterogeneous environments, there is a clear lack of empirical studies. The purpose of this thesis was to. empirically study the evolutionary consequences of a heterogeneous environment in a freshwater snail Galba truncatula. Indeed, G. truncatula lives in two habitat types according the water availability. First, it can be found in streams or ponds which never completely dry out: a permanent habitat. Second, G. truncatula can be found in pools that freeze during winter and dry during summer: a temporary habitat. Using a common garden approach, we empirically demonstrated local adaptation of G. truncatula to temporary and permanent habitats. We used at first a comparison of molecular (FST) vs. quantitative (QST) genetic differentiation between temporary and permanent habitats. To confirm the pattern QST> FST between habitats suggesting local adaptation, we then tested the desiccation resistance of individuals from temporary and permanent habitats. This study confirmed that drought resistance seemed to be the main factor selected between habitats, and life history traits linked to the desiccation resistance were thus found divergent between habitats. However, despite this evidence of selection acting on mean values of traits between habitats, drift was suggested to be the main factor responsible of variation in variances-covariances between populations. At last, we found life history traits variation of individuals in a heterogeneous environment varying in parasite prevalence. This thesis empirically demonstrated the importance of heterogeneous environments in local adaptation and life history evolution and suggested that more experimental studies are needed to investigate this topic. Résumé: Les biologistes se sont depuis toujours intéressés en l'aptitude d'une population à répondre à la sélection naturelle. Cette réponse dépend de la quantité de variabilité génétique présente dans cette population. Plus particulièrement, les théoriciens se sont penchés sur la question du maintient de la variabilité génétique au sein d'environnements hétérogènes. Ils ont alors démontré que, sous certaines conditions, la diversité génétique peut se maintenir de manière stable et permanente dans des environnements variant au niveau spatial et temporel. De plus, ces environments variables ont été démontrés comme responsable de divergence de traits d'histoire de vie au sein des différentes niches constituant l'environnement. Cependant, malgré ce nombre important d'études théoriques portant sur la sélection et l'évolution des traits d'histoire de vie en environnement hétérogène, les études empiriques sont plus rares. Le but de cette thèse était donc d'étudier les conséquences évolutives d'un environnement hétérogène chez un esgarcot d'eau douce Galba truncatula. En effet, G. truncatula est trouvé dans deux types d'habitats qui diffèrent par leur niveau d'eau. Le premier, l'habitat temporaire, est constitué de flaques d'eau qui peuvent s'assécher pendant l'été et geler pendant l'hiver. Le second, l'habitat permanent, correspond à des marres ou à des ruisseaux qui ont un niveau d'eau constant durant toute l'année. Utilisant une approche expérimentale de type "jardin commun", nous avons démontré l'adaptation locale des individus à leur type d'habitat, permanent ou temporaire. Nous avons utilisé l'approche Fsr/QsT qui compare la différentiation génétique moléculaire avec la différentiation génétique quantitative entre les 2 habitats. Le phénomène d'adapation locale démontré par QsT > FsT, a été testé experimentalement en mesurant la résistance à la dessiccation d'individus d'habitat temporaire et permanent. Cette étude confirma que la résistance à la sécheresse a été sélectionné entre habitats et que les traits responsables de cette resistance sont différents entre habitats. Cependant si la sélection agit sur la valeur moyenne des traits entre habitats, la dérive génétique semble être le responsable majeur de la différence de variances-covariances entre populations. Pour finir, une variation de traits d'histoire de vie a été trouvée au sein d'un environnement hétérogène constitué de populations variants au niveau de leur taux de parasitisme. Pour conclure, cette thèse a donc démontré l'importance d'un environnement hétérogène sur l'adaptation locale et l'évolution des traits d'histoire de vie et suggère que plus d'études empiriques sur le sujet sont nécessaires.

A frequency distribution approach to hotspot identification

We present a new global method for the identification of hotspots in conservation and ecology. The method is based on the identification of spatial structure properties through cumulative relative frequency distributions curves, and is tested with two case studies, the identification of fish density hotspots and terrestrial vertebrate species diversity hotspots. Results from the frequency distribution method are compared with those from standard techniques among local, partially local and global methods. Our approach offers the main advantage to be independent from the selection of any threshold, neighborhood, or other parameter that affect most of the currently available methods for hotspot analysis. The two case studies show how such elements of arbitrariness of the traditional methods influence both size and location of the identified hotspots, and how this new global method can be used for a more objective selection of hotspots.

A modified structural stress method for fatigue assessment of welded structures

Fatigue life assessment of weldedstructures is commonly based on the nominal stress method, but more flexible and accurate methods have been introduced. In general, the assessment accuracy is improved as more localized information about the weld is incorporated. The structural hot spot stress method includes the influence of macro geometric effects and structural discontinuities on the design stress but excludes the local features of the weld. In this thesis, the limitations of the structural hot spot stress method are discussed and a modified structural stress method with improved accuracy is developed and verified for selected welded details. The fatigue life of structures in the as-welded state consists mainly of crack growth from pre-existing cracks or defects. Crack growth rate depends on crack geometry and the stress state on the crack face plane. This means that the stress level and shape of the stress distribution in the assumed crack path governs thetotal fatigue life. In many structural details the stress distribution is similar and adequate fatigue life estimates can be obtained just by adjusting the stress level based on a single stress value, i.e., the structural hot spot stress. There are, however, cases for which the structural stress approach is less appropriate because the stress distribution differs significantly from the more common cases. Plate edge attachments and plates on elastic foundations are some examples of structures with this type of stress distribution. The importance of fillet weld size and weld load variation on the stress distribution is another central topic in this thesis. Structural hot spot stress determination is generally based on a procedure that involves extrapolation of plate surface stresses. Other possibilities for determining the structural hot spot stress is to extrapolate stresses through the thickness at the weld toe or to use Dong's method which includes through-thickness extrapolation at some distance from the weld toe. Both of these latter methods are less sensitive to the FE mesh used. Structural stress based on surface extrapolation is sensitive to the extrapolation points selected and to the FE mesh used near these points. Rules for proper meshing, however, are well defined and not difficult to apply. To improve the accuracy of the traditional structural hot spot stress, a multi-linear stress distribution is introduced. The magnitude of the weld toe stress after linearization is dependent on the weld size, weld load and plate thickness. Simple equations have been derived by comparing assessment results based on the local linear stress distribution and LEFM based calculations. The proposed method is called the modified structural stress method (MSHS) since the structural hot spot stress (SHS) value is corrected using information on weld size andweld load. The correction procedure is verified using fatigue test results found in the literature. Also, a test case was conducted comparing the proposed method with other local fatigue assessment methods.

Potential of local bio-geoengineering to mitigate dangerous temperature increases in a global warming scenario

Crops and forests are already responding to rising atmospheric carbon dioxide and air temperatures. Increasing atmospheric CO2 concentrations are expected to enhance plant photosynthesis. Nevertheless, after long-term exposure, plants acclimate and show a reduction in photosynthetic activity (i.e. down-regulation). If in the future the Earth"s temperature is allowed to rise further, plant ecosystems and food security will both face significant threats. The scientific community has recognized that an increase in global temperatures should remain below 2°C in order to combat climate change. All this evidence suggests that, in parallel with reductions in CO2 emissions, a more direct approach to mitigate global warming should be considered. We propose here that global warming could be partially mitigated directly through local bio-geoengineering approaches. For example, this could be done through the management of solar radiation at surface level, i.e. by increasing global albedo. Such an effect has been documented in the south-eastern part of Spain, where a significant surface air temperature trend of -0.3°C per decade has been observed due to a dramatic expansion of greenhouse horticulture.

Patterns of care in recurrent glioblastoma in Switzerland: a multicentre national approach based on diagnostic nodes.

Despite moderate improvements in outcome of glioblastoma after first-line treatment with chemoradiation recent clinical trials failed to improve the prognosis of recurrent glioblastoma. In the absence of a standard of care we aimed to investigate institutional treatment strategies to identify similarities and differences in the pattern of care for recurrent glioblastoma. We investigated re-treatment criteria and therapeutic pathways for recurrent glioblastoma of eight neuro-oncology centres in Switzerland having an established multidisciplinary tumour-board conference. Decision algorithms, differences and consensus were analysed using the objective consensus methodology. A total of 16 different treatment recommendations were identified based on combinations of eight different decision criteria. The set of criteria implemented as well as the set of treatments offered was different in each centre. For specific situations, up to 6 different treatment recommendations were provided by the eight centres. The only wide-range consensus identified was to offer best supportive care to unfit patients. A majority recommendation was identified for non-operable large early recurrence with unmethylated MGMT promoter status in the fit patients: here bevacizumab was offered. In fit patients with late recurrent non-operable MGMT promoter methylated glioblastoma temozolomide was recommended by most. No other majority recommendations were present. In the absence of strong evidence we identified few consensus recommendations in the treatment of recurrent glioblastoma. This contrasts the limited availability of single drugs and treatment modalities. Clinical situations of greatest heterogeneity may be suitable to be addressed in clinical trials and second opinion referrals are likely to yield diverging recommendations.

A relational approach to the geography of innovation: a typology of regions

The aim of this study was to devise a method for computing a composite indicator that measures the regional degree of exposure to external knowledge sources. On the basis of this indicator, we propose a typology of regions according to their potential capacity to access extra-local items of knowledge, which might help them to recombine complementary elements of such an asset to produce a higher number of new ideas. Building on various research streams that have been relatively independent to date, we summarize a non-exhaustive instrumental list of recent studies that motivates our approach and the construction of our complex indicator, which can be used to appraise the extent to which each region is in an optimal position to access external innovative resources.