Free-living energy expenditure assessed by two different methods in rural Gambian men.

OBJECTIVE: To assess total free-living energy expenditure (EE) in Gambian farmers with two independent methods, and to determine the most realistic free-living EE and physical activity in order to establish energy requirements for rural populations in developing countries. DESIGN: In this cross-sectional study two methods were applied at the same time. SETTING: Three rural villages and Dunn Nutrition Centre Keneba, MRC, The Gambia. SUBJECTS: Eight healthy, male subjects were recruited from three rural Gambian villages in the sub-Sahelian area (age: 25 +/- 4y; weight: 61.2 +/- 10.1 kg; height: 169.5 +/- 6.5 cm, body mass index: 21.2 +/- 2.5 kg/m2). INTERVENTION: We assessed free-living EE with two inconspicuous and independent methods: the first one used doubly labeled water (DLW) (2H2 18O) over a period of 12 days, whereas the second one was based on continuous heart rate (HR) measurements on two to three days using individual regression lines (HR vs EE) established by indirect calorimetry in a respiration chamber. Isotopic dilution of deuterium (2H2O) was also used to assess total body water and hence fat-free mass (FFM). RESULTS: EE assessed by DLW was found to be 3880 +/- 994 kcal/day (16.2 +/- 4.2 MJ/day). Expressed per unit body weight the EE averaged 64.2 +/- 9.3 kcal/kg/d (269 +/- 38 kJ/kg/d). These results were consistent with the EE results assessed by HR: 3847 +/- 605 kcal/d (16.1 +/- 2.5 MJ/d) or 63.4 +/- 8.2 kcal/kg/d (265 +/- 34kJ/kg/d). Physical activity index, expressed as a multiple of basal metabolic rate (BMR), averaged 2.40 +/- 0.41 (DLW) or 2.40 +/- 0.28 (HR). CONCLUSIONS: These findings suggest an extremely high level of physical activity in Gambian men during intense agricultural work (wet season). This contrasts with the relative food shortage, previously reported during the harvesting period. We conclude that the assessment of EE during the agricultural season in non-industrialized countries needs further investigations in order to obtain information on the energy requirement of these populations. For this purpose the use of the DLW and HR methods have been shown to be useful and complementary.

Implementing statistical learning methods through Bayesian networks (Part 2): bayesian evaluations for results of black toner analyses in forensic document examination

This paper presents and discusses the use of Bayesian procedures - introduced through the use of Bayesian networks in Part I of this series of papers - for 'learning' probabilities from data. The discussion will relate to a set of real data on characteristics of black toners commonly used in printing and copying devices. Particular attention is drawn to the incorporation of the proposed procedures as an integral part in probabilistic inference schemes (notably in the form of Bayesian networks) that are intended to address uncertainties related to particular propositions of interest (e.g., whether or not a sample originates from a particular source). The conceptual tenets of the proposed methodologies are presented along with aspects of their practical implementation using currently available Bayesian network software.

Portafolio selection with skewness: a comparison of methods and a generalized two fund separation result

This contribution compares existing and newly developed techniques for geometrically representing mean-variances-kewness portfolio frontiers based on the rather widely adapted methodology of polynomial goal programming (PGP) on the one hand and the more recent approach based on the shortage function on the other hand. Moreover, we explain the working of these different methodologies in detail and provide graphical illustrations. Inspired by these illustrations, we prove a generalization of the well-known two fund separation theorem from traditionalmean-variance portfolio theory.

Birth and adaptive evolution of a hominoid gene that supports high neurotransmitter flux.

The enzyme glutamate dehydrogenase (GDH) is important for recycling the chief excitatory neurotransmitter, glutamate, during neurotransmission. Human GDH exists in housekeeping and brain-specific isotypes encoded by the genes GLUD1 and GLUD2, respectively. Here we show that GLUD2 originated by retroposition from GLUD1 in the hominoid ancestor less than 23 million years ago. The amino acid changes responsible for the unique brain-specific properties of the enzyme derived from GLUD2 occurred during a period of positive selection after the duplication event.

Adaptive search and information updating in sequential mate choice

Classical treatments of problems of sequential mate choice assume that the distribution of the quality of potential mates is known a priori. This assumption, made for analytical purposes, may seem unrealistic, opposing empirical data as well as evolutionary arguments. Using stochastic dynamic programming, we develop a model that includes the possibility for searching individuals to learn about the distribution and in particular to update mean and variance during the search. In a constant environment, a priori knowledge of the parameter values brings strong benefits in both time needed to make a decision and average value of mate obtained. Knowing the variance yields more benefits than knowing the mean, and benefits increase with variance. However, the costs of learning become progressively lower as more time is available for choice. When parameter values differ between demes and/or searching periods, a strategy relying on fixed a priori information might lead to erroneous decisions, which confers advantages on the learning strategy. However, time for choice plays an important role as well: if a decision must be made rapidly, a fixed strategy may do better even when the fixed image does not coincide with the local parameter values. These results help in delineating the ecological-behavior context in which learning strategies may spread.

Assessing rapid evolution in a changing environment.

Climate change poses a serious threat to species persistence. Effective modelling of evolutionary responses to rapid climate change is therefore essential. In this review we examine recent advances in phylogenetic comparative methods, techniques normally used to study adaptation over long periods, which allow them to be applied to the study of adaptation over shorter time scales. This increased applicability is largely due to the emergence of more flexible models of character evolution and the parallel development of molecular technologies that can be used to assess adaptive variation at loci scattered across the genome. The merging of phylogenetic and population genetic approaches to the study of adaptation has significant potential to advance our understanding of rapid responses to environmental change.

The radiation of the clownfishes has two geographical replicates

AimThe study of adaptive radiations provides an evolutionary perspective on the interactions between organisms and their environment, and is necessary to understand global biodiversity. Adaptive radiations can sometimes be replicated over several disjunct geographical entities, but most examples are found on island or in lakes. Here, we investigated the biogeographical history of the clownfishes, a clade of coral reef fish with ranges that now span most of the Indo-Pacific Ocean, in order to explore the geographical structure of an unusual adaptive radiation. LocationIndian Ocean, Indo-Australian Archipelago (IAA) and Central Pacific Ocean. MethodsWe generated DNA sequence data comprising seven nuclear markers for 27 of the 30 clownfish species. We then inferred a Bayesian phylogeny and reconstructed the biogeographical history of the group using three different methods. Finally, we applied a biogeographical model of diversification to assess whether diversification patterns differ between the Indian and Pacific Oceans. ResultsThe phylogenetic tree is highly supported and allows reconstruction of the biogeographical history of the clade. While most species arose in the IAA, one clade colonized the eastern shores of Africa and diversified there. We found that the diversification rate of clownfishes does not differ between the main radiation and the African clade. Main conclusionsThe clownfishes first appeared and diversified in the IAA. Following a colonization event, a geographically independent radiation occurred in the Indian Ocean off East Africa. This rare example of replicated adaptive radiation in the marine realm provides intriguing possibilities for further research on ecological speciation in the sea.

Phenotypic novelty in experimental hybrids is predicted by the genetic distance between species of cichlid fish.

BACKGROUND: Transgressive segregation describes the occurrence of novel phenotypes in hybrids with extreme trait values not observed in either parental species. A previously experimentally untested prediction is that the amount of transgression increases with the genetic distance between hybridizing species. This follows from QTL studies suggesting that transgression is most commonly due to complementary gene action or epistasis, which become more frequent at larger genetic distances. This is because the number of QTLs fixed for alleles with opposing signs in different species should increase with time since speciation provided that speciation is not driven by disruptive selection. We measured the amount of transgression occurring in hybrids of cichlid fish bred from species pairs with gradually increasing genetic distances and varying phenotypic similarity. Transgression in multi-trait shape phenotypes was quantified using landmark-based geometric morphometric methods. RESULTS: We found that genetic distance explained 52% and 78% of the variation in transgression frequency in F1 and F2 hybrids, respectively. Confirming theoretical predictions, transgression when measured in F2 hybrids, increased linearly with genetic distance between hybridizing species. Phenotypic similarity of species on the other hand was not related to the amount of transgression. CONCLUSION: The commonness and ease with which novel phenotypes are produced in cichlid hybrids between unrelated species has important implications for the interaction of hybridization with adaptation and speciation. Hybridization may generate new genotypes with adaptive potential that did not reside as standing genetic variation in either parental population, potentially enhancing a population's responsiveness to selection. Our results make it conceivable that hybridization contributed to the rapid rates of phenotypic evolution in the large and rapid adaptive radiations of haplochromine cichlids.

Monitoring of innate and adaptive immune responses in the context of human immunotherapy

Summary1 SummaryCancer patients have a better clinical outcome when their tumours display marked infiltration by memory Τ cells. Moreover, the overrepresentation of Th1 gene signatures in primary tumours correlates with favourable prognosis. Thus, vaccination to induce Τ cells capable of infiltrating and eradicating the tumour seems a promising strategy for the treatment of cancer. Here, I monitored CD4 Τ cell responses in melanoma patients vaccinated with the long synthetic peptides Melan- A16-35(A27L) and NY-ESO-179.108. Most of the patients developed strong and diverse peptide antigen specific CD4 Τ cell responses. Analysis of the fine specificity of CD4 Τ cell antigen recognition led to the identification of two new epitopes. The peptide Melan-A16_35(A27L) was delivered by virus-like particles (VLPs) derived from bacteriophage Οβ, which themselves displayed strong immunogenicity. I show evidence for induction of Οβ- and Melan-A specific CD4 Τ cell responses that developed a Th1 functional profile after repeated vaccination cycles. They also specifically released the chemokines CCL-3 and CCL-4, which play important roles in attracting CD8 Τ cells to the APC surface for priming and formation of Τ cell memory. We further found induction of robust humoral IgG responses upon VLP vaccination, and the lgG1-lgG4 isotype composition depended on the adjuvant used. Since heavy chain class switching largely dépends on the presence of CD4 Τ cell help, this result suggests that the adjuvant can influence the differentiation of elicited CD4 Τ cells, thereby contributing to the quality and function of both Β cells and CD8 Τ cells. The nature of the inflammatory processes in the tumour microenvironment can modulate CD8 Τ cell function. A collaboration was established for the investigation regulation of inflammasome activation in human primary monocytes. We identified IL- 4 and TGF-β as strong inhibitors of IL-1 β secretion, Indicating some level of regulation from effector Th2 and Treg responses. We further found a potent inhibition of inflammasome activation by type I interferon, and demonstrated in vivo inhibition of IL-1 β responses in monocytes from active multiple sclerosis patients under IFN-β therapy. This finding further offers a possible explanation for its success, which mechanism of action is still largely unclear. Interestingly, type I interferon is also being used as adjuvant treatment for tumour free metastatic cutaneous melanoma patients. While its clinical benefit has remained controversial, recent data suggest that the subset of patients with ulcerated primary melanoma lesions can benefit from this therapy. Future investigations will shed light on the implication of the inflammasome in this context, and may offer new strategies for improved adjuvant treatments of melanoma.2 RésuméLes patients atteints de cancer ont une meilleure chance de survie si leurs tumeurs s'avèrent être largement infiltrées par des cellules Τ mémoires. De plus, la surreprésentation d'une signature génique Th1 est en corrélation avec un pronostic favorable. Ainsi, la vaccination visant à induire des cellules Τ capables d'infiltrer et de détruire la tumeur parait être une stratégie prometteuse pour le traitement du cancer. Dans ce travail, j'ai procédé au monitoring de la réponse des cellules Τ CD4 dans des patients atteints de mélanome vaccinés avec les longs peptides synthétiques Melan-A16_35(A27L) et NY-ESO-179_108. Ces peptides représentent des antigènes tumoraux reconnus par des lymphocytes T. La majorité des patients a développé une réponse forte et diversifiée des cellules Τ CD4 spécifiques contre les peptides. L'analyse de la spécificité fine de la reconnaissance antigénique des cellules Τ CD4 nous a conduits à l'identification de deux nouveaux épitopes. Le peptide Melan-Aie. 35(A27L) a été délivré par des particules de type viral (VLPs) dérivés de bactériophages Qβ, qui ont eux-mêmes démontré une forte immunogénicité. Mon travail montre les preuves d'une induction de réponses spécifiques des cellules Τ CD4 contre les Qβ et Melan-A développant un profil fonctionnel Th1 après plusieurs cycles de vaccination. Elles secrètent aussi spécifiquement les chimiokines CCL-3 et CCL-4, qui jouent un rôle important dans l'attraction des cellules Τ CD8 à la surface des cellules présentatrices d'antigènes et contribuent ainsi à induire et former la mémoire cellulaire Τ CD8. Nous avons également remarqué une induction de fortes réponses humorales IgG après vaccination avec les VLPs, et que la composition des isotypes lgG1-lgG4 dépendait de l'adjuvant utilisé. Etant donné qu'une commutation de classe de la chaîne lourde dépend largement ùie l'aide des cellules Τ CD4, ce résultat suggère que l'adjuvant puisse influencer la différeritiation de cellules Τ CD4 en différent types, contribuant ainsi à la qualité et à la fonction des cellules Β et des cellules Τ CD8.La nature des processus d'inflammation dans le microenvironnement tumoral peut moduler la fonction des cellules Τ CD8. Une collaboration a été établie pour investiguer la régulation de l'activation de l'inflammasome dans des monocytes primaires humains. Nous avons identifié l'IL-4 et le TGF-β comme étant de puissants inhibiteurs de la sécrétion de IL-Ιβ, indiquant une certaine régulation de la réponse inflammatoire induite par les cellules Th2 et Τ régulatrices. Nous avons également trouvé une forte inhibition de l'activation de l'inflammasome par l'interféron type I, et nous avons démontré une inhibition in vivo de la réponse IL-1 β dans des monocytes de patients atteints d'une sclérose en plaque active sous traitement IFN-β. Ce résultat nous offre une possible explication du succès de cette thérapie, dont le mécanisme reste à ce jour encore largement obscur. Il est intéressant de noter que l'interféron de type I est également utilisé pour le traitement de patients atteints de mélanome cutané métastasique sans tumeurs. Bien que le bénéfice clinique de ce traitement reste controversé, des études récentes montrent qu'une partie des patients atteints de mélanome primaire ulcéré peut tirer bénéfice de cette thérapie. De futures investigations pourront mieux nous renseigner sur l'implication de l'inflammasome dans ce contexte et offrir de nouvelles stratégies pour améliorer les traitements adjuvants du mélanome.

Carotid Dose Spring in Definitive Irradiation of T1N0 Squamous Cell Laryngeal Carcinoma Using Helical Tomotherapy

Purpose/Objective(s): To implement a carotid dose sparing protocol using helical Tomotherapy in T1N0 squamous cell laryngeal carcinoma.Materials/Methods: Between July and August 2010, 7 men with stage T1N0 laryngeal carcinoma were included in this study. Age ranged from 47 - 74 years. Staging included endoscopic examination, CT-scan and MRI when indicated. Planned irradiation dose was 70 Gy in 35 fractions over 7 weeks. A simple treatment planning algorithm for carotid sparing was used: maximum point dose to the carotids 35 Gy, to the spinal cord 30 Gy, and 100% PTV volume to be covered with 95% of the prescribed dose. Carotid volume of interest extended to 1 cm above and below of the PTV. Doses to the carotid arteries, to the critical organs, and to the planned target volume (PTV) with our standard laryngeal irradiation protocol was compared. Daily megavoltage scans were obtained before each fraction. When necessary, the Planned Adaptive software (TomoTherapy Inc., Madison, WI) was used to evaluatethe need for a re-planning, which has never been indicated. Dose data were extracted using the VelocityAI software (Atlanta, GA), and data normalization and dose-volume histogram (DVH) interpolation were realized using the Igor Pro software (Portland, OR).Results:A significant (p\0.05) carotid dose sparing compared to our standard protocol with an average maximum point dose of 38.3 Gy (standard deviation [SD] 4.05 Gy), average mean dose of 18.59 Gy (SD 0.83 Gy) was achieved. In all patients, 95% of the carotid volume received less than 28.4 Gy (SD 0.98 Gy). The average maximum point dose to the spinal cord was 25.8 Gy (SD 3.24 Gy). PTV was fully covered with more than 95% of the prescribed dose for all patients with an average maximum point dose of 74.1 Gy and the absolute maximum dose in a single patient of 75.2 Gy. To date, the clinical outcomes have been excellent. Three patients (42%) developed stage 1 mucositis that was conservatively managed, and all the patients presented a mild to moderate dysphonia. All adverse effects resolved spontaneously in the month following the end of treatment. Early local control rate is 100% considering a 4 - 5 months post treatment follow-up.Conclusions: Helical Tomotherapy allows a clinically significant decrease of carotid irradiation dose compared to standard irradiation protocols with an acceptable spinal cord dose tradeoff. Moreover, this technique allows the PTV to be homogenously covered with a curative irradiation dose. Daily control imaging brings added security margins especially when working with high dose gradients. Further investigations and follow-up are underway to better evaluate the late clinical outcomes especially the local control rate, late laryngeal and vascular toxicity, and expected potential impact on cerebrovascular events.

Kernel-based methods for change detection in remote sensing images

Nowadays, the joint exploitation of images acquired daily by remote sensing instruments and of images available from archives allows a detailed monitoring of the transitions occurring at the surface of the Earth. These modifications of the land cover generate spectral discrepancies that can be detected via the analysis of remote sensing images. Independently from the origin of the images and of type of surface change, a correct processing of such data implies the adoption of flexible, robust and possibly nonlinear method, to correctly account for the complex statistical relationships characterizing the pixels of the images. This Thesis deals with the development and the application of advanced statistical methods for multi-temporal optical remote sensing image processing tasks. Three different families of machine learning models have been explored and fundamental solutions for change detection problems are provided. In the first part, change detection with user supervision has been considered. In a first application, a nonlinear classifier has been applied with the intent of precisely delineating flooded regions from a pair of images. In a second case study, the spatial context of each pixel has been injected into another nonlinear classifier to obtain a precise mapping of new urban structures. In both cases, the user provides the classifier with examples of what he believes has changed or not. In the second part, a completely automatic and unsupervised method for precise binary detection of changes has been proposed. The technique allows a very accurate mapping without any user intervention, resulting particularly useful when readiness and reaction times of the system are a crucial constraint. In the third, the problem of statistical distributions shifting between acquisitions is studied. Two approaches to transform the couple of bi-temporal images and reduce their differences unrelated to changes in land cover are studied. The methods align the distributions of the images, so that the pixel-wise comparison could be carried out with higher accuracy. Furthermore, the second method can deal with images from different sensors, no matter the dimensionality of the data nor the spectral information content. This opens the doors to possible solutions for a crucial problem in the field: detecting changes when the images have been acquired by two different sensors.

Natural genetic variation of root system architecture from Arabidopsis to Brachypodium: towards adaptive value.

Root system architecture is a trait that displays considerable plasticity because of its sensitivity to environmental stimuli. Nevertheless, to a significant degree it is genetically constrained as suggested by surveys of its natural genetic variation. A few regulators of root system architecture have been isolated as quantitative trait loci through the natural variation approach in the dicotyledon model, Arabidopsis. This provides proof of principle that allelic variation for root system architecture traits exists, is genetically tractable, and might be exploited for crop breeding. Beyond Arabidopsis, Brachypodium could serve as both a credible and experimentally accessible model for root system architecture variation in monocotyledons, as suggested by first glimpses of the different root morphologies of Brachypodium accessions. Whether a direct knowledge transfer gained from molecular model system studies will work in practice remains unclear however, because of a lack of comprehensive understanding of root system physiology in the native context. For instance, apart from a few notable exceptions, the adaptive value of genetic variation in root system modulators is unknown. Future studies should thus aim at comprehensive characterization of the role of genetic players in root system architecture variation by taking into account the native environmental conditions, in particular soil characteristics.

Adaptive integral assessment package for the A2UN@ project

This paper presents a first approach of Evaluation Engine Architecture (EEA) as proposal to support adaptive integral assessment, in the context of a virtual learning environment. The goal of our research is design an evaluation engine tool to assist in the whole assessment process within the A2UN@ project, linking that tool with the other key elements of a learning design (learning task, learning resources and learning support). The teachers would define the relation between knowledge, competencies, activities, resources and type of assessment. Providing this relation is possible obtain more accurate estimations of student's knowledge for adaptive evaluations and future recommendations. The process is supported by usage of educational standards and specifications and for an integral user modelling

Evaluation of four whole-plant inoculation methods to analyze the pathogenicity of Erwinia amylovora under quarantine conditions

Four methods were tested to assess the fire-blight disease response on grafted pear plants. The leaves of the plants were inoculated with Erwinia amylovora suspensions by pricking with clamps, cutting with scissors, local infiltration, and painting a bacterial suspension onto the leaves with a paintbrush. The effects of the inoculation methods were studied in dose-time-response experiments carried out in climate chambers under quarantine conditions. A modified Gompertz model was used to analyze the disease-time relatiobbnships and provided information on the rate of infection progression (rg) and time delay to the start of symptoms (t0). The disease-pathogen-dose relationships were analyzed according to a hyperbolic saturation model in which the median effective dose (ED50) of the pathogen and maximum disease level (ymax) were determined. Localized infiltration into the leaf mesophile resulted in the early (short t0) but slow (low rg) development of infection whereas in leaves pricked with clamps disease symptoms developed late (long t0) but rapidly (high rg). Paintbrush inoculation of the plants resulted in an incubation period of medium length, a moderate rate of infection progression, and low ymax values. In leaves inoculated with scissors, fire-blight symptoms developed early (short t0) and rapidly (high rg), and with the lowest ED50 and the highest ymax

Body composition: overview of methods and future directions of research.

A short overview is given on the most important analytical body composition methods. Principles of the methods and advantages and limitations of the methods are discussed also in relation to other fields of research such as energy metabolism. Attention is given to some new developments in body composition research such as chemical multiple-compartment models, computerized tomography or nuclear magnetic resonance imaging (tissue level), and multifrequency bioelectrical impedance. Possible future directions of body composition research in the light of these new developments are discussed.