Combining molecular evolution and environmental genomics to unravel adaptive processes of MHC class IIB diversity in European minnows (Phoxinus phoxinus)

Host-pathogen interactions are a major evolutionary force promoting local adaptation. Genes of the major histocompatibility complex (MHC) represent unique candidates to investigate evolutionary processes driving local adaptation to parasite communities. The present study aimed at identifying the relative roles of neutral and adaptive processes driving the evolution of MHC class IIB (MHCIIB) genes in natural populations of European minnows (Phoxinus phoxinus). To this end, we isolated and genotyped exon 2 of two MHCIIB gene duplicates (DAB1 and DAB3) and 1665 amplified fragment length polymorphism (AFLP) markers in nine populations, and characterized local bacterial communities by 16S rDNA barcoding using 454 amplicon sequencing. Both MHCIIB loci exhibited signs of historical balancing selection. Whereas genetic differentiation exceeded that of neutral markers at both loci, the populations' genetic diversities were positively correlated with local pathogen diversities only at DAB3. Overall, our results suggest pathogen-mediated local adaptation in European minnows at both MHCIIB loci. While at DAB1 selection appears to favor different alleles among populations, this is only partially the case in DAB3, which appears to be locally adapted to pathogen communities in terms of genetic diversity. These results provide new insights into the importance of host-pathogen interactions in driving local adaptation in the European minnow, and highlight that the importance of adaptive processes driving MHCIIB gene evolution may differ among duplicates within species, presumably as a consequence of alternative selective regimes or different genomic context.

Biotic and abiotic variables show little redundancy in explaining tree species distributions

Abiotic factors such as climate and soil determine the species fundamental niche, which is further constrained by biotic interactions such as interspecific competition. To parameterize this realized niche, species distribution models (SDMs) most often relate species occurrence data to abiotic variables, but few SDM studies include biotic predictors to help explain species distributions. Therefore, most predictions of species distributions under future climates assume implicitly that biotic interactions remain constant or exert only minor influence on large-scale spatial distributions, which is also largely expected for species with high competitive ability. We examined the extent to which variance explained by SDMs can be attributed to abiotic or biotic predictors and how this depends on species traits. We fit generalized linear models for 11 common tree species in Switzerland using three different sets of predictor variables: biotic, abiotic, and the combination of both sets. We used variance partitioning to estimate the proportion of the variance explained by biotic and abiotic predictors, jointly and independently. Inclusion of biotic predictors improved the SDMs substantially. The joint contribution of biotic and abiotic predictors to explained deviance was relatively small (similar to 9%) compared to the contribution of each predictor set individually (similar to 20% each), indicating that the additional information on the realized niche brought by adding other species as predictors was largely independent of the abiotic (topo-climatic) predictors. The influence of biotic predictors was relatively high for species preferably growing under low disturbance and low abiotic stress, species with long seed dispersal distances, species with high shade tolerance as juveniles and adults, and species that occur frequently and are dominant across the landscape. The influence of biotic variables on SDM performance indicates that community composition and other local biotic factors or abiotic processes not included in the abiotic predictors strongly influence prediction of species distributions. Improved prediction of species' potential distributions in future climates and communities may assist strategies for sustainable forest management.

Testing new identity models and processes in French-speaking adolescents and emerging adults students

Developing a sense of identity is a crucial psychosocial task for young people. The purpose of this study was to evaluate identity development in French-speaking adolescents and emerging adults (in France and Switzerland) using a process-oriented model of identity formation including five dimensions (i.e., exploration in breadth, commitment making, exploration in depth, identification with commitment, and ruminative exploration). The study included participants from three different samples (total N = 2239, 66.7% women): two samples of emerging adult student and one sample of adolescents. Results confirmed the hypothesized five-factor dimensional model of identity in our three samples and provided evidence for convergent validity of the model. The results also indicated that exploration in depth might be subdivided in two aspects: a first form of exploration in depth leading to a better understanding and to an increase of the strength of current commitments and a second form of exploration in depth leading to a re-evaluation and a reconsideration of current commitments. Further, the identity status cluster solution that emerged is globally in line with previous literature (i.e., achievement, foreclosure, moratorium, carefree diffusion, diffused diffusion, undifferentiated). However, despite a structural similarity, we found variations in identity profiles because identity development is shaped by cultural context. These specific variations are discussed in light of social, educational and economic differences between France and the French-speaking part of Switzerland. Implications and suggestions for future research are offered.

The Harsh Fight against Poverty in Sao Tome and Principe

post-independence, and on the other hand, the testimonies from Sao Tomeans individuals from different social conditions and different degrees of political responsibility, this article approaches some possible connections between poverty and micro-violence in Sao Tome and Principe. It is offered an outline of research for the difficulties of the eradication of poverty and, concomitantly, the diffusion of a growing feeling of social disruption, processes in all contrary to the promises of independence for this archipelago. Frequently, the archipelago’s visitors make hasty opinions about the imaginary effortlessness of governing two islands with less than one hundred and fifty thousand citizens. However, contrary to this very common prejudice, the micro-insularity is considered an obstacle to development, a notion shared by many Sao Tomeans. Could micro-insularity equally be, under this outlook, an impoverishment-inducing factor? Regarding the development, there is some truth in this diagnosis, which the Sao Tomeans also use to justify their current difficulties. Throughout the 70s and 80s, the MLSTP – Movimento de Libertação de São Tomé e Príncipe (Movement for the Liberation of Sao Tome and Principe) endorsed a development founded on an expansion of cacao cultures, at the expenses of an intensified production rate, and on an incipient industrialization, which was intended to avoid importations and economic dependency. At the time, the Sao Tomeans leaders justified the rising daily difficulties, quite the opposite of the promises made during the independence, with an economic disarticulation resulting from the gradual abandonment of economic infrastructures inflicted by the last batch of colonists, which affected the cacao plantations too. Simultaneously, both the inefficiency and cost of the industrial endeavors launched after the independence and the erosion of labor and social relationships in nationalized farms had been rather neglected.

Importância da Programação Linear na Determinação de Informações de Gestão - Caso Moave, Sa

A Investigação Operacional vem demonstrando ser uma valiosa ferramenta de gestão nos dias de hoje em que se vive num mercado cada vez mais competitivo. Através da Programação Linear pode-se reproduzir matematicamente um problema de maximização dos resultados ou minimização dos custos de produção com o propósito de auxiliar os gestores na tomada de decisão. A Programação Linear é um método matemático em que a função objectivo e as restrições assumem características lineares, com diversas aplicações no controlo de gestão, envolvendo normalmente problemas de utilização dos recursos disponíveis sujeitos a limitações impostas pelo processo produtivo ou pelo mercado. O objectivo geral deste trabalho é o de propor um modelo de Programação Linear para a programação ou produção e alocação de recursos necessários. Optimizar uma quantidade física designada função objectivo, tendo em conta um conjunto de condicionalismos endógenas às actividades em gestão. O objectivo crucial é dispor um modelo de apoio à gestão contribuindo assim para afectação eficiente de recursos escassos à disposição da unidade económica. Com o trabalho desenvolvido ficou patente a importância da abordagem quantitativa como recurso imprescindível de apoio ao processo de decisão. The operational research has proven to be a valuable management tool today we live in an increasingly competitive market. Through Linear Programming can be mathematically reproduce a problem of maximizing performance or minimizing production costs in order to assist managers in decision making. The Linear Programming is a mathematical method in which the objective function and constraints are linear features, with several applications in the control of management, usually involving problems of resource use are available subject to limitations imposed by the production process or the market. The overall objective of this work is to propose a Linear Programming model for scheduling or production and allocation of necessary resources. Optimizing a physical quantity called the objective function, given a set of endogenous constraints on management thus contributing to efficient allocation of scarce resources available to the economic unit. With the work has demonstrated the importance of the quantitative approach as essential resource to support the decision process.

Neocortical maturation during adolescence: change in neuronal soma dimension.

During adolescence, cognitive abilities increase robustly. To search for possible related structural alterations of the cerebral cortex, we measured neuronal soma dimension (NSD = width times height), cortical thickness and neuronal densities in different types of neocortex in post-mortem brains of five 12-16 and five 17-24 year-olds (each 2F, 3M). Using a generalized mixed model analysis, mean normalized NSD comparing the age groups shows layer-specific change for layer 2 (p < .0001) and age-related differences between categorized type of cortex: primary/primary association cortex (BA 1, 3, 4, and 44) shows a generalized increase; higher-order regions (BA 9, 21, 39, and 45) also show increase in layers 2 and 5 but decrease in layers 3, 4, and 6 while limbic/orbital cortex (BA 23, 24, and 47) undergoes minor decrease (BA 1, 3, 4, and 44 vs. BA 9, 21, 39, and 45: p = .036 and BA 1, 3, 4, and 44 vs. BA 23, 24, and 47: p = .004). These data imply the operation of cortical layer- and type-specific processes of growth and regression adding new evidence that the human brain matures during adolescence not only functionally but also structurally.

Érosion des sols au Cap Vert : étude des processus et quantification à l’échelle de trois bassins versants de l’île de Santiago

Erosão dos solos em Cabo Verde: estudo dos processos e quantificação à escala de três bacias hidrográficas O arquipélago de Cabo Verde é constituído por 10 ilhas vulcânicas pertence à zona do Sahel que se estende do Atlântico ao Mar Vermelho. Desde então, várias décadas, Cabo Verde é afectado pela desertificação causada principalmente pela recessão climatica e a erosão do solo. Esses fatores, aliados à alta pressão humana sobre os recursos, a topografia acidentada e chuvas tropicais por vezes torrenciais, causam sérios danos aos solos. No entanto, desde sua independência em 1975, o Governo realizou um amplo programa de arborização, recuperação de áreas degradadas e a correcção dos leitos das ribeiras. No entanto, a investigação, muito pouco foi realizada para avaliar as acções de protecção e conservação do solo e da água. Portanto, não há dados sobre o problema da degradação das terras nem balanços. Como parte deste trabalho, foram estudados vários factores que controlam a erosão do solo pela água. Especificamente, buscou-se diferenciar os efeitos das actividades humanas, incluindo a agricultura, os factores climáticos, como chuva e geração de escoamento. Também estabeleceu os primeiros balanços das exportações de matérias em suspensão e em solução no contexto do arquipélago de Cabo Verde. O estudo foi realizado em três bacias hidrográficas da ilha de Santiago, Cabo Verde. Estas três bacias hidrográficas (Longueira, Grande e Godim) estão localizadas na parte central da ilha de Santiago e representam os diversos tipos de uso da terra e as diferentes zonas bioclimaticas da ilha. Existe um gradiente climático entre as três bacias hidrográficas. Na verdade, Longueira que abrange uma área de 4,18 km2, tem um declive médio de 47 %, uma zona florestada de 69% e uma área agrícola de 17 %. Grande com uma área de 1,87 km2, é localizada numa zona sub humida com um declive médio de 50%, é essencialmente agrícola. Godim, com uma área de 2,0 km2, é localizado numa zona semi-árida com um declive médio de 32%, é particularmente uma zona agricola. Para estes três bacias hidrográficas, as cheias foram medidas e amostradas de 2004 a 2009. A bacia de Longueira teve um maior acompanhamento, nomeadamente em termos de amostragem e monitoramento dos escoamentos. Em cada amostra foram feitas a determinação da concentração de matérias em suspensão e a análise dos principais elementos quimicos. Os resultados mostram que a erosão mecânica nas três bacias hidrográficas é caracterizada por uma forte variabilidade espacial e temporal. Durante o período de 2005-2009, o balanço anual média para as bacias hidrográficas de Longueira, Grande e Godim é: 4266, 157 e 10,1 t.km2.an-1, respectivamente. A estação das chuvas de 2006 foi a mais erosiva para as três bacias, particularmente em Longueira, com 2 cheias excepcionais, que têm gerado uma concentração média de sólidos em suspensão superior a 100 g / l. Porém, as estações do ano de 2005 e 2008 foram de uma forma geral menos erosivas porque as concentrações médias não inferiores a 20 g / l. Além disso, não houve cheias para as temporadas 2005 e 2007 para a bacia do Godim. Na bacia de Longueira, o estudo dos fenómenos de histerese na caracterização das cheias mostrou que a evolução temporal das exportações de sólidos em suspensão durante a temporada é fortemente influenciada pelas atividades agrícolas. Na verdade, a primeira cheia causou uma exportação maciça de sedimento disponível e localizado no leito da ribeira. Assim, a segunda cheia exportou menos sedimentos. Um mês após as primeiras chuvas, a prática da monda que reduz a densidade da cobertura vegetal e destructura a camada superficial do solo, gerou uma grande quantidade de sedimento que novamente permitiu uma exportação muito forte de sedimentos durante a terceira forte cheia. Os resultados da erosão química na bacia de Longueira indicam que a taxa de erosão é de 45 t.km2.an-1 com uma forte variabilidade temporal. Na verdade, as temporadas de 2006 e 2007 são as mais erosivas, enquanto 2005 teve uma exportação de matérias disolvidas baixa. A utilização do modelo EMMA (End- Members Mixing Analysis) mostra que os escoamentos hipodermico e profundo, alimentandos os fluxos de elementos dissolvidos são os principais factores da erosão química. É mostrado que esses fluxos causam mais de 90% dos fluxos de erosão química. O escoamento superficial, que contribui com cerca de 70% na formação das cheias, é o maior factor da erosão mecânica do solo.

Determinants of linear judgment: A meta-analysis of lens model studies

The mathematical representation of Brunswik s lens model has been usedextensively to study human judgment and provides a unique opportunity to conduct ameta-analysis of studies that covers roughly five decades. Specifically, we analyzestatistics of the lens model equation (Tucker, 1964) associated with 259 different taskenvironments obtained from 78 papers. In short, we find on average fairly high levelsof judgmental achievement and note that people can achieve similar levels of cognitiveperformance in both noisy and predictable environments. Although overall performancevaries little between laboratory and field studies, both differ in terms of components ofperformance and types of environments (numbers of cues and redundancy). An analysisof learning studies reveals that the most effective form of feedback is information aboutthe task. We also analyze empirically when bootstrapping is more likely to occur. Weconclude by indicating shortcomings of the kinds of studies conducted to date, limitationsin the lens model methodology, and possibilities for future research.

On prediction of individual sequences

Sequential randomized prediction of an arbitrary binary sequence isinvestigated. No assumption is made on the mechanism of generating the bit sequence. The goal of the predictor is to minimize its relative loss, i.e., to make (almost) as few mistakes as the best ``expert'' in a fixed, possibly infinite, set of experts. We point out a surprising connection between this prediction problem and empirical process theory. First, in the special case of static (memoryless) experts, we completely characterize the minimax relative loss in terms of the maximum of an associated Rademacher process. Then we show general upper and lower bounds on the minimaxrelative loss in terms of the geometry of the class of experts. As main examples, we determine the exact order of magnitude of the minimax relative loss for the class of autoregressive linear predictors and for the class of Markov experts.

Fusion of data sets in multivariate linear regression with errors-in-variables

We consider the application of normal theory methods to the estimation and testing of a general type of multivariate regressionmodels with errors--in--variables, in the case where various data setsare merged into a single analysis and the observable variables deviatepossibly from normality. The various samples to be merged can differ on the set of observable variables available. We show that there is a convenient way to parameterize the model so that, despite the possiblenon--normality of the data, normal--theory methods yield correct inferencesfor the parameters of interest and for the goodness--of--fit test. Thetheory described encompasses both the functional and structural modelcases, and can be implemented using standard software for structuralequations models, such as LISREL, EQS, LISCOMP, among others. An illustration with Monte Carlo data is presented.

Equivalence of piecewise-linear approximation and Lagrangian relaxation for network revenue management

The network revenue management (RM) problem arises in airline, hotel, media,and other industries where the sale products use multiple resources. It can be formulatedas a stochastic dynamic program but the dynamic program is computationallyintractable because of an exponentially large state space, and a number of heuristicshave been proposed to approximate it. Notable amongst these -both for their revenueperformance, as well as their theoretically sound basis- are approximate dynamic programmingmethods that approximate the value function by basis functions (both affinefunctions as well as piecewise-linear functions have been proposed for network RM)and decomposition methods that relax the constraints of the dynamic program to solvesimpler dynamic programs (such as the Lagrangian relaxation methods). In this paperwe show that these two seemingly distinct approaches coincide for the network RMdynamic program, i.e., the piecewise-linear approximation method and the Lagrangianrelaxation method are one and the same.

A new compact linear programming formulation for choice network revenue management

The choice network revenue management model incorporates customer purchase behavioras a function of the offered products, and is the appropriate model for airline and hotel networkrevenue management, dynamic sales of bundles, and dynamic assortment optimization.The optimization problem is a stochastic dynamic program and is intractable. A certainty-equivalencerelaxation of the dynamic program, called the choice deterministic linear program(CDLP) is usually used to generate dyamic controls. Recently, a compact linear programmingformulation of this linear program was given for the multi-segment multinomial-logit (MNL)model of customer choice with non-overlapping consideration sets. Our objective is to obtaina tighter bound than this formulation while retaining the appealing properties of a compactlinear programming representation. To this end, it is natural to consider the affine relaxationof the dynamic program. We first show that the affine relaxation is NP-complete even for asingle-segment MNL model. Nevertheless, by analyzing the affine relaxation we derive a newcompact linear program that approximates the dynamic programming value function betterthan CDLP, provably between the CDLP value and the affine relaxation, and often comingclose to the latter in our numerical experiments. When the segment consideration sets overlap,we show that some strong equalities called product cuts developed for the CDLP remain validfor our new formulation. Finally we perform extensive numerical comparisons on the variousbounds to evaluate their performance.