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The contribution of biodiversity and ecosystem services to our health care needs is significant, both for the development of modern pharmaceuticals (Chivian and Bernstein 2008; Newmann and Cragg 2007; see also chapter on contribution of biodiversity to pharmaceuticals in this volume) and for their uses in traditional medicine (WHO 2013). Long before the rise of pharmaceutical development, societies have been drawing on their traditional knowledge, skills and customary practices, using various resources provided to them by nature to prevent, diagnose and treat health problems. Today, these practices continue to inform health-care delivery at the level of local communities in many places around the world (WHO 2013). In socioecological contexts such as these, several resources used for food, cultural and spiritual purposes are also used as medicines (Unnikrishnan and Suneetha 2012). Traditional medicine practices provide more than health care to these communities; they are considered a way of life and are founded on endogenous strengths, including knowledge, skills and capabilities.

Phytochemical investigation of plants used in African traditional medicine: "Dioscorea sylvatica" (Dioscoreaceae), "Urginea altissima" (Liliaceae), "Jamesbrittenia fodina" and "Jamesbrittenia elegantissima" (Scrophulariaceae)

Les plantes médicinales représentent la seule source de médicaments pour près de 90 % de la population de certains pays d?Afrique. Le savoir-faire des guérisseurs traditionnels, d?une valeur inestimable, représente un point de départ pour l?investigation pharmacologique et phytochimique de ces médicaments naturels. Dans le cadre de ce travail, nous nous sommes dans un premier temps intéressés à valider l?utilisation en médecine traditionnelle de deux plantes, Diuscorea sylvatica (Dioscoreaceae) et Urginea altissima (Liliaceae), qui produisent, lorsqu?elles sont frottées sur la peau, une inflammation et des démangeaisons. Ces réactions cutanées ont pu être expliquées, au moins en partie, par la présence d?aiguilles acérées d?oxalate de calcium dans les organes souterrains. Ces microtraumatismes répétés de l?épiderme risquent de provoquer, lors d?une utilisation prolongée, des lésions granulomateuses. L?histamine n?a pas été détectée, mais d?autres substances pourraient être impliquées dans le processus inflammatoire. La seconde partie de ce travail a consisté en la détection, l?isolement et la caractérisation de nouveaux composés naturels présentant un intérêt thérapeutique potentiel. 70 extraits provenant de 28 plantes supérieures du Zimbabwe ont été soumis à un criblage chimique et biologique. Les extraits méthanoliques des parties aériennes de Jamesbrittenia fodina et J. elegantissima (Scrophulariaceae) ont été sélectionnés sur la base de leurs nombreuses activités. Le fractionnement guidé par l?activité de J. fudina a permis l?isolement des saponines A et B, responsables des activités antifongique, antibactérienne et molluscicide de l?extrait. De plus, les deux saponines ont montré une activité équivalente en tant qu?inhibiteurs de l?acétylcholinestérase, propriété encore non décrite pour cette classe de composés. Une analyse LC/uv/MS de l?extrait a permis d?attribuer l?activité antiradicalaire au verbascoside, un dérivé du phenylpropane; cette analyse a de plus montré la présence d?une série de dérivés de l?acide cinnamique, dont l?isolement a été entrepris. Deux problèmes d?instabilité sont apparus, empêchant l?isolement des composés par des méthodes chromatographiques de pointe, en dépit de très bonnes conditions de séparations. Des analyses LC/?H-NMR combinées à des analyses RMN classiques des mélanges ont permis d?attribuer ces instabilités d?une part à une isomérisation cis/trans induite par la lumière, et d?autre part à une transacylation du groupe cinnamoyl sur une unité de sucre. Ceci a permis l?identification de 12 esters cinnamiques d?iridoïdes, dont 8 nouveaux produits naturels. Ces dérivés présentent un intérêt thérapeutique, car des composés similaires ont montré des propriétés anti-inflammatoires significatives dans différents modèles in vivo. Deux flavanones ont aussi été isolées de l?extrait. Cette classe de composés n?a jamais été rapportée chez un membre des Scrophulariaceae. Une analyse LC/UV/MS comparative des extraits polaires des deux espèces, J. fodina et J. elegantissima, a été effectuée pour détecter la présence éventuelle de compos.és communs. Les saponines A et B et le verbascoside ont été identifiés dans l?extrait de J. elegantissima. Trois flavonoïdes ont de plus été isolés de ce dernier par CPC et HPLC semi-préparative.<br/><br/>In certain African countries, medicinal plants represent the unique source of to 90% of the population. The knowledge of traditional healers represents a basis for the pharmacological and phytochemical investigation of these natural medicines. This work first focused on the validation of use of two plants frequently employed in traditional medicine, Dioscorea sylvatica (Dioscoreaceae) and Urginea altissimu (Liliaceae), which produce mild inflammation and itching when rubbed on the skin. These cutaneous reactions were shown to be due, at least in part, to the presence of sharp needles of calcium oxalate, implying the risk of granulomatous lesions following a long term use. Histamine was not detected, but other compounds could be involved in the inflammatory process. The second part of this work consisted of the detection, isolation and characterisation of new natural compounds of potential therapeutic interest from African plants. Seventy extracts obtained from 28 higher plants of Zimbabwe were submitted to a chemical and biological screening. The methanol extracts of the whole plants of Jamesbrittenia fodina and J. elegantissima (Scrophulariaceae) were selected for their various activities. An activity-guided fractionation of J. fodina led to the isolation of the saponins A and B, responsible for the antifungal, antibacterial and molluscicidal properties. Both saponins were equally active as inhibitors of acetylcholinesterase, a property that has, to our knowledge, never been described for this class of compounds. A LC/UV/MS analysis of the extract allowed the identification of verbascoside as the product with radical scavenging activity, and indicated the presence of a series of potentially interesting cinnamic acid derivatives. Two types of instability problems occurred in the course of their isolation, as some compounds could not be separated despite very good chromatographic conditions. LC/'H-NMR analyses combined with in-mixture NMR analyses enabled the attribution of the cause of the instability in one case to a cidtrans light-induced isomerisation, and in the other case to a transacylation of the cinnamoyl moiety on a sugar residue. These problems of instability have not been the object of previous studies. 12 cinnamic iridoid esters could be characterised, 8 of these being new natural compounds. Several similar substances have displayed significant anti-inflammatory properties in different in vivo models, suggesting a therapeutic interest for these new derivatives. Two flavanones were isolated from the same extract. This class of compound has not been previously reported from species of the Scrophulariaceae family. A comparative LCAJVNS study of the polar extracts of the two species J. elegantissima and J. fodina was performed in order to detect possible common compounds. Saponins A and B and verbascoside were thus identified in .J. elegantissima. Moreover, three supplementary flavonoids were isolated from J. elegantissima..

Another Kind of Knowledge: Aristotle's Phronêsis from an Epistemological Point of View

In my thesis, I defend the idea that Aristotle's notion of phronêsis (practical wisdom) is best understood as a kind of practical knowledge. I interpret phronêsis as the knowledge we display when we make the correct decision to act. In a particular situation that demands a specific response, we have practical knowledge of what to do when we make the best decision possible. This interpretation of phronêsis involves that it is possible to evaluate our decisions epistemically, that is, to evaluate whether we really know what to do or not. Aristotle provides a tool for the evaluation of our decisions, which is a definite kind of argument and which the tradition has called the 'practical syllogism'. The practical syllogism stands as the explanation of our decisions or actions. We invoke it when we want to explain or justify why we act as we do. My claim is that the components of the practical syllogism enable one to evaluate not only the moral character of our actions, but also the epistemic strength of our decisions. Correspondingly, a decision is morally right, i.e. virtuous, if the agent considers the right moral principle to apply, and if he is aware of the relevant circumstances of the situation (moral evaluation). Moreover, a decision displays practical knowledge if the agent meets three conditions (epistemic evaluation): he must desire the moral principle for its own sake; he must have experience in spotting the relevant circumstances of the situation; and he must be able to closely connect these circumstances with the moral principle. This interpretation of phronêsis differs from other more traditional interpretations in the emphasis it puts on phronêsis as knowledge. Other interpretations focus more on the moral dimension on phronêsis, without taking its epistemic value seriously. By contrast, I raise seriously the question of what it takes to genuinely know what one should do in a particular situation. -- Dans ma thèse, je défends l'idée que la notion aristotélicienne de phronêsis (sagesse pratique) doit être interprétée comme connaissance pratique. Je comprends la phronêsis comme étant la connaissance que nous avons lorsque nous prenons une bonne décision. Dans une situation particulière qui demande une réponse précise, nous avons une connaissance pratique lorsque nous prenons la meilleure décision possible. Cette interprétation de la phronêsis implique qu'il est possible d'évaluer nos décisions de manière épistémique, c'est-à-dire, d'évaluer si nous savons vraiment ce qu'il faut faire ou non. Ma position est qu'Aristote fournit un outil pour évaluer épistémiquement nos décisions, qui consiste en un certain type d'argument et que la tradition a appelé le 'syllogisme pratique'. Le syllogisme pratique correspond à l'explication de nos décisions ou de nos actions. Nous invoquons un syllogisme pratique lorsque nous voulons expliquer ou justifier pourquoi nous agissons comme nous le faisons. Les éléments du syllogisme pratique permettent d'évaluer non seulement le caractère moral de nos actions, mais aussi la force épistémique de nos décisions. Par conséquent, une décision est moralement correcte, i.e. vertueuse, si l'agent considère le bon principe moral, et s'il est attentif aux circonstances pertinentes de la situation (évaluation morale). En outre, une décision inclut la connaissance pratique si l'agent remplit trois conditions (évaluation épistémique) : il doit désirer le principe moral pour lui-même, il doit avoir de l'expérience pour déceler les circonstances pertinentes, et il doit pouvoir lier intimement ces circonstances avec le principe moral. Cette interprétation de la phronêsis diffère d'autres interprétations plus traditionnelles par l'emphase mise sur la phronêsis en tant que connaissance. D'autres interprétations se concentrent plus sur la dimension morale de la phronêsis, sans se préoccuper sérieusement de sa valeur épistémique. Au contraire, je pose sérieusement la question des conditions nécessaires pour réellement savoir ce qu'il faut faire dans une situation donnée.

From e-voting to smart-voting : e-Tools in and for elections and direct democracy in Switzerland

To what extent do and could e-tools contribute to a democracy like Switzerland? This paper puts forward experiences and visions concerning the application of e-tools for the most traditional democratic processes- elections and, of special importance in Switzerland, direct-democratic votes.Having the particular voting behaviour of the Swiss electorate in mind (low voter turnout - especially among the youngest age group, low political knowledge, etc.) we believe that e-tools which provide information in the forefront of elections or direct-democratic votes offer an enormous service to the voter. As soon as e-voting will be possible in Switzerland (as planned by the government), those e-tools for gathering information online will become indispensable and will gain power enormously. Therefore political scientists should not only focus on potential effects of e-voting itself but rather on the combination of (connected)e-tools of the pre-voting and the voting sphere. In the case of Switzerland, we argue in this paper, the offer of VAAs such as smartvote for elections and direct-democratic votes can provide the voter with more balanced and qualitatively higher information and thereby make a valuable contribution to the Swiss democracy.

Caregiver's interpret infants' early gestures based on shared knowledge about referents

Gestures are the first forms of conventional communication that young children develop in order to intentionally convey a specific message. However, at first, infants rarely communicate successfully with their gestures, prompting caregivers to interpret them. Although the role of caregivers in early communication development has been examined, little is known about how caregivers attribute a specific communicative function to infants' gestures. In this study, we argue that caregivers rely on the knowledge about the referent that is shared with infants in order to interpret what communicative function infants wish to convey with their gestures. We videotaped interactions from six caregiver-infant dyads playing with toys when infants were 8, 10, 12, 14, and 16 months old. We coded infants' gesture production and we determined whether caregivers interpreted those gestures as conveying a clear communicative function or not; we also coded whether infants used objects according to their conventions of use as a measure of shared knowledge about the referent. Results revealed an association between infants' increasing knowledge of object use and maternal interpretations of infants' gestures as conveying a clear communicative function. Our findings emphasize the importance of shared knowledge in shaping infants' emergent communicative skills.

Multi-scale support vector algorithms for hot spot detection and modelling

The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.

Hydrogeophysical data integration at larger scales: Application of Bayesian sequential simulation for the characterization of heterogeneous alluvial aquifers

Knowledge of the spatial distribution of hydraulic conductivity (K) within an aquifer is critical for reliable predictions of solute transport and the development of effective groundwater management and/or remediation strategies. While core analyses and hydraulic logging can provide highly detailed information, such information is inherently localized around boreholes that tend to be sparsely distributed throughout the aquifer volume. Conversely, larger-scale hydraulic experiments like pumping and tracer tests provide relatively low-resolution estimates of K in the investigated subsurface region. As a result, traditional hydrogeological measurement techniques contain a gap in terms of spatial resolution and coverage, and they are often alone inadequate for characterizing heterogeneous aquifers. Geophysical methods have the potential to bridge this gap. The recent increased interest in the application of geophysical methods to hydrogeological problems is clearly evidenced by the formation and rapid growth of the domain of hydrogeophysics over the past decade (e.g., Rubin and Hubbard, 2005).

Angiotensinergic innervation of the kidney: present knowledge and its significance.

Intrarenal neurotransmission implies the co-release of neuropeptides at the neuro-effector junction with direct influence on parameters of kidney function. The presence of an angiotensin (Ang) II-containing phenotype in catecholaminergic postganglionic and sensory fibers of the kidney, based on immunocytological investigations, has only recently been reported. These angiotensinergic fibers display a distinct morphology and intrarenal distribution, suggesting anatomical and functional subspecialization linked to neuronal Ang II-expression. This review discusses the present knowledge concerning these fibers, and their significance for renal physiology and the pathogenesis of hypertension in light of established mechanisms. The data suggest a new role of Ang II as a co-transmitter stimulating renal target cells or modulating nerve traffic from or to the kidney. Neuronal Ang II is likely to be an independent source of intrarenal Ang II. Further physiological experimentation will have to explore the role of the angiotensinergic renal innervation and integrate it into existing concepts.

Which prior knowledge? Quantification of in vivo brain 13C MR spectra following 13C glucose infusion using AMARES.

The recent developments in high magnetic field 13C magnetic resonance spectroscopy with improved localization and shimming techniques have led to important gains in sensitivity and spectral resolution of 13C in vivo spectra in the rodent brain, enabling the separation of several 13C isotopomers of glutamate and glutamine. In this context, the assumptions used in spectral quantification might have a significant impact on the determination of the 13C concentrations and the related metabolic fluxes. In this study, the time domain spectral quantification algorithm AMARES (advanced method for accurate, robust and efficient spectral fitting) was applied to 13 C magnetic resonance spectroscopy spectra acquired in the rat brain at 9.4 T, following infusion of [1,6-(13)C2 ] glucose. Using both Monte Carlo simulations and in vivo data, the goal of this work was: (1) to validate the quantification of in vivo 13C isotopomers using AMARES; (2) to assess the impact of the prior knowledge on the quantification of in vivo 13C isotopomers using AMARES; (3) to compare AMARES and LCModel (linear combination of model spectra) for the quantification of in vivo 13C spectra. AMARES led to accurate and reliable 13C spectral quantification similar to those obtained using LCModel, when the frequency shifts, J-coupling constants and phase patterns of the different 13C isotopomers were included as prior knowledge in the analysis.

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge.

The aim of this study is to perform a thorough comparison of quantitative susceptibility mapping (QSM) techniques and their dependence on the assumptions made. The compared methodologies were: two iterative single orientation methodologies minimizing the l2, l1TV norm of the prior knowledge of the edges of the object, one over-determined multiple orientation method (COSMOS) and anewly proposed modulated closed-form solution (MCF). The performance of these methods was compared using a numerical phantom and in-vivo high resolution (0.65mm isotropic) brain data acquired at 7T using a new coil combination method. For all QSM methods, the relevant regularization and prior-knowledge parameters were systematically changed in order to evaluate the optimal reconstruction in the presence and absence of a ground truth. Additionally, the QSM contrast was compared to conventional gradient recalled echo (GRE) magnitude and R2* maps obtained from the same dataset. The QSM reconstruction results of the single orientation methods show comparable performance. The MCF method has the highest correlation (corrMCF=0.95, r(2)MCF =0.97) with the state of the art method (COSMOS) with additional advantage of extreme fast computation time. The l-curve method gave the visually most satisfactory balance between reduction of streaking artifacts and over-regularization with the latter being overemphasized when the using the COSMOS susceptibility maps as ground-truth. R2* and susceptibility maps, when calculated from the same datasets, although based on distinct features of the data, have a comparable ability to distinguish deep gray matter structures.