¿Favorece la publicación en abierto el impacto de los artículos científicos? Un estudio empírico en el ámbito de la medicina intensiva

Peer-reviewed

Empirical models for predicting the production of wild mushrooms in Scots pine (Pinus sylvestris L.) forests in the Central Pyrenees

Mushroom picking has become a widespread autumn recreational activity in the Central Pyrenees and other regions of Spain. Predictive models that relate mushroom production or fungal species richness with forest stand and site characteristics are not available. This study used mushroom production data from 24 Scots pine plots over 3 years to develop a predictive model that could facilitate forest management decisions when comparing silvicultural options in terms of mushroom production. Mixed modelling was used to model the dependence of mushroom production on stand and site factors. The results showed that productions were greatest when stand basal area was approximately 20 m2 ha-1. Increasing elevation and northern aspect increased total mushroom production as well as the production of edible and marketed mushrooms. Increasing slope decreased productions. Marketed Lactarius spp., the most important group collected in the region, showed similar relationships. The annual variation in mushroom production correlated with autumn rainfall. Mushroom species richness was highest when the total production was highest.

Sellun jälkilajittelun kehittäminen

Työn tavoitteena oli löytää painelajittimen roottorin keskeiset muuttujat ja ajoparametrit, kun pyritään jälkilajittelemaan valkaistua sellumassaa korkeassa sakeudessa, sekä näiden vaikutukset. Tavoitteena oli teknisesti onnistunut lajittelu korkeassa sakeudessa siten, että laitteen puhdistustehokkuus on hyvä, ominaisenergian kulutus on pieni ja kapasiteetti on korkea. Ensin tarkasteltiin kuitenkin teoreettisesti valkaistun sellumassan painelajittelun ongelmakenttää, keskeisten epäpuhtauksien poistoa jälkilajittelussa ja vertailtiin korkea- ja matalasakeuslajittelua. Lisäksi esiteltiin yleisellä tasolla koesuunnittelumenetelmien periaatteita ja menetelmiä sekä analyysiä so. mallinnus. Tätä taustaa vasten haluttiin myös kartoittaa ja esitellä painelajittimen keskeinen muuttujakenttä. Tämän jälkeen selvitettiin kokeellisesti miten ajettavan valkaistun mäntysellumassan sakeus, roottorin kehänopeus ja roottorin rakenteen muutokset vaikuttavat painelajittimen kapasiteettiin, rejektin sakeutumiskertoimeen, ominaisenergian kulutukseen ja puhdistustehokkuuteen. Vaikutusten ja parhaan roottorirakenteen sekä ajosuureiden määritys suoritettiin mallintamalla mittaustulokset lineaarisella regressioanalyysilla. Saatiin tärkeimmät vasteisiin vaikuttavat riippumattomat muuttujat ja niiden matemaattiset esityk-set, malliyhtälöt. Mallinnusta hyväksi käyttäen tarkasteltiin vielä erikseen yhden roottorin ajoa. Tärkeimpinä tuloksina saatiin selville, että puhdistustehokkuus on lähes vakio tietyllä roottorirakenteella riippumatta sakeudesta ja roottorin kehänopeudesta. Edullista puhdistustehokkuuden kannalta on käyttää ensisijaisesti isoa roottorin palaelementin korkeutta ja välystä suhteessa sihtirumpuun. Jälkilajittelu painelajittimella korkeassa sakeudessa kannattaa suorittaa pienellä roottorin kehänopeudella, runko- ja palaelementtivälyksellä suhteessa sihtirumpuun sekä suurella palaelementin korkeudella. Tällöin saavutetaan hyvä kompromissi ominaisenergian kulutuksen ja laitteen ajettavuuden osalta. Iso elementin korkeus ja pieni elementtivälys eivät aja massaa tehokkaasti laitteen alaosaan. Tällöin ei pyöritetä myöskään suurta massamäärää. Pieni elementtivälys mahdollistaa myös massan tehokkaamman leikkauksen, joka parantaa fluidisoitumista. Kitkavoimat ovat luonnollisesti ko. olosuhteissa suuremmat, joten ominais-energian kulutus kasvaa jonkin verran. Ratkaisevinta ominaisenergian kulutuksen kannalta on kuitenkin ajaa laitetta pienellä kehänopeudella.

Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective input-output approach

Global warming mitigation has recently become a priority worldwide. A large body of literature dealing with energy related problems has focused on reducing greenhouse gases emissions at an engineering scale. In contrast, the minimization of climate change at a wider macroeconomic level has so far received much less attention. We investigate here the issue of how to mitigate global warming by performing changes in an economy. To this end, we make use of a systematic tool that combines three methods: linear programming, environmentally extended input output models, and life cycle assessment principles. The problem of identifying key economic sectors that contribute significantly to global warming is posed in mathematical terms as a bi criteria linear program that seeks to optimize simultaneously the total economic output and the total life cycle CO2 emissions. We have applied this approach to the European Union economy, finding that significant reductions in global warming potential can be attained by regulating specific economic sectors. Our tool is intended to aid policymakers in the design of more effective public policies for achieving the environmental and economic targets sought.

Matemática económica con programación lineal

La percepción del joven estudiante de economía es que la práctica con ejercicios es lo único que debe saber. Ésta percepción se puede cambiar con la Programación Lineal ya que unimos teoría y práctica y, al mismo tiempo, mejoramos la capacidad de modelar situaciones económicas y además, hacemos énfasis en el uso de las matemáticas como herramienta eficaz en la mejora de las actividades propias.

Elinkaaripohjaiseen ABC-analyysiin perustuva päätöksenteontukijärjestelmä

Yritysten vaihto-omaisuudenhallinnasta löytyy usein selviä puutteita. Yksi selkeä syy tähän on perinteisen ABC-analyysin riittämättömyys, joka pohjautuu puhtaasti historiatietoihin. ABC-analyysia oikein tulkitsemalla, voi siitä kuitenkin saada erinomaisen työkalun varastonhallintaan. Tämä edellyttää tuotteen elinkaarenvaiheen huomioimista. Tätä elinkaarenvaiheet huomioivaa ABC-analyysia kutsutaan elinkaaripohjaiseksi ABC-analyysiksi. Koska nykyisissä toiminnanohjausjärjestelmissä ei kuitenkaan ole mahdollista luokitella tuotteita tämän uuden menetelmän mukaisesti, syntyy tarve tukijärjestelmälle. Tukijärjestelmän tarkoituksena on sekä luokitella tuotteet elinkaaripohjaisen ABC-analyysin avulla että antaa tuotteille varastonohjaussuositukset Salmivuori Consulting Oy:n käyttämän ohjausmenetelmän mukaisesti. Varastotasojen määrittämistä helpottamaan luotiin järjestelmän yhteyteen vielä erillinen ohjaustyökalu. Lisäksi työssä on havainnollistettu keskimääräistä varaston arvoa sekä puutekustannuksia minimoivien varastotasojen valintaa case-esimerkin avulla. Järjestelmän luomien tuoteluokkien sekä varastonohjaussuositusten avulla, päätöksentekijällä on mahdollisuudet tehostaa yrityksen vaihto-omaisuudenhallintaa.

Wheat Yield Loss in a Two Species Competition with Emex australis and Emex spinosa

Emex australis and E. spinosa are significant weed species in wheat and other crops. Information on the extent of competition of the Emex species will be helpful to access yield losses in wheat. Field experiments were conducted to quantify the interference of tested weed densities each as single or mixture of both at 1:1 on their growth and yield, wheat yield components and wheat grain yield losses in two consecutive years. Dry weight of both weed species increased from 3-6 g m-2 with every additional plant of weed, whereas seed number and weight per plant decreased with increasing density of either weed. Both weed species caused considerable decrease in yield components like spike bearing tillers, number of grains per spike, 1000-grain weight of wheat with increasing density population of the weeds. Based on non-linear hyperbolic regression model equation, maximum yield loss at asymptotic weed density was estimated to be 44 and 62% with E. australis, 56 and 70% with E. spinosa and 63 and 72% with mixture of both species at 1:1 during both year of study, respectively. It was concluded that E. spinosa has more competition effects on wheat crop as compared to E. australis.

Comparison of anaerobic threshold determined by visual and mathematical methods in healthy women

Several methods are used to estimate anaerobic threshold (AT) during exercise. The aim of the present study was to compare AT obtained by a graphic visual method for the estimate of ventilatory and metabolic variables (gold standard), to a bi-segmental linear regression mathematical model of Hinkley's algorithm applied to heart rate (HR) and carbon dioxide output (VCO2) data. Thirteen young (24 ± 2.63 years old) and 16 postmenopausal (57 ± 4.79 years old) healthy and sedentary women were submitted to a continuous ergospirometric incremental test on an electromagnetic braking cycloergometer with 10 to 20 W/min increases until physical exhaustion. The ventilatory variables were recorded breath-to-breath and HR was obtained beat-to-beat over real time. Data were analyzed by the nonparametric Friedman test and Spearman correlation test with the level of significance set at 5%. Power output (W), HR (bpm), oxygen uptake (VO2; mL kg-1 min-1), VO2 (mL/min), VCO2 (mL/min), and minute ventilation (VE; L/min) data observed at the AT level were similar for both methods and groups studied (P > 0.05). The VO2 (mL kg-1 min-1) data showed significant correlation (P < 0.05) between the gold standard method and the mathematical model when applied to HR (r s = 0.75) and VCO2 (r s = 0.78) data for the subjects as a whole (N = 29). The proposed mathematical method for the detection of changes in response patterns of VCO2 and HR was adequate and promising for AT detection in young and middle-aged women, representing a semi-automatic, non-invasive and objective AT measurement.

Influence of intrauterine and extrauterine growth on neurodevelopmental outcome of monozygotic twins

There have been indications that intrauterine and early extrauterine growth can influence childhood mental and motor function. The objective of the present study was to evaluate the influence of intrauterine growth restriction and early extrauterine head growth on the neurodevelopmental outcome of monozygotic twins. Thirty-six monozygous twin pairs were evaluated at the corrected age of 12 to 42 months. Intrauterine growth restriction was quantified using the fetal growth ratio. The effects of birth weight ratio, head circumference at birth and current head circumference on mental and motor outcomes were estimated using mixed-effect linear regression models. Separate estimates of the between (interpair) and within (intrapair) effects of each measure on development were thus obtained. Neurodevelopment was assessed with the Bayley Scales of Infant Development, 2nd edition, by a psychologist blind to the exposure. A standardized neurological examination was performed by a neuropediatrician who was unaware of the exposures under investigation. After adjustment, birth weight ratio and head circumference at birth were not associated with motor or mental outcomes. Current head circumference was associated with mental but not with motor outcomes. Only the intrapair twin effect was significant. An increase of 1 cm in current head circumference of one twin compared with the other was associated with 3.2 points higher in Mental Developmental Index (95%CI = 1.06-5.32; P < 0.03). Thus, no effect of intrauterine growth was found on cognition and only postnatal head growth was associated with cognition. This effect was not shared by the co-twin.

Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-fit in Multivariate Regressions with Application to Asset Pricing Models

We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is invariant to the unknown cross-equation error covariance matrix. Empirical multivariate skewness and kurtosis criteria are then compared to simulation-based estimate of their expected value under the hypothesized distribution. Special cases considered include testing multivariate normal, Student t; normal mixtures and stable error models. In the Gaussian case, finite-sample versions of the standard multivariate skewness and kurtosis tests are derived. To do this, we exploit simple, double and multi-stage Monte Carlo test methods. For non-Gaussian distribution families involving nuisance parameters, confidence sets are derived for the the nuisance parameters and the error distribution. The procedures considered are evaluated in a small simulation experi-ment. Finally, the tests are applied to an asset pricing model with observable risk-free rates, using monthly returns on New York Stock Exchange (NYSE) portfolios over five-year subperiods from 1926-1995.

Choix d'un associateur 2-D pour le balayage multiple et optimisation de l'estimation des pistes

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Strategy-proofness makes the difference: deferred-acceptance with responsive priorities

In college admissions and student placements at public schools, the admission decision can be thought of as assigning indivisible objects with capacity constraints to a set of students such that each student receives at most one object and monetary compensations are not allowed. In these important market design problems, the agent-proposing deferred-acceptance (DA-)mechanism with responsive strict priorities performs well and economists have successfully implemented DA-mechanisms or slight variants thereof. We show that almost all real-life mechanisms used in such environments - including the large classes of priority mechanisms and linear programming mechanisms - satisfy a set of simple and intuitive properties. Once we add strategy-proofness to these properties, DA-mechanisms are the only ones surviving. In market design problems that are based on weak priorities (like school choice), generally multiple tie-breaking (MTB)procedures are used and then a mechanism is implemented with the obtained strict priorities. By adding stability with respect to the weak priorities, we establish the first normative foundation for MTB-DA-mechanisms that are used in NYC.

Contribution à l’élaboration d’un guide alimentaire béninois : approche par la programmation linéaire et validation sur le terrain

Contexte: Le Bénin est atteint par le double fardeau nutritionnel : dans le même pays, et parfois dans le même ménage, il y a des personnes malnutries et d’autres aux prises avec des maladies chroniques. Ces conditions, au moins pour partie, peuvent être prévenues si la population est sensibilisée à de bonnes habitudes alimentaires. Pour ce faire, les professionnels de la santé ont besoin d’outils comme un guide alimentaire (GA) pour faciliter l’apprentissage de bonnes pratiques alimentaires. Ce dernier nécessite plusieurs étapes à son élaboration, dont la définition des groupes alimentaires, la présentation visuelle et la quantification des portions d'aliments. Objectif : Ce travail a eu pour but de proposer et d’homologuer des portions quotidiennes d’aliments dans chaque groupe alimentaire pour différents groupes d’âge de Béninois. Méthode : Elle consiste à : 1) Caractériser la consommation alimentaire locale; 2) Optimiser le profil moyen de consommation alimentaire quotidienne à l’aide de la programmation linéaire (PL); 3) Traduire les résultats en termes de nombre et taille de portions d’aliments de chaque groupe à consommer quotidiennement; 4) Illustrer les recommandations au moyen d’exemples de menus journaliers; 5) Homologuer le prototype du GA avec des experts béninois. La PL a permis de déterminer les choix d’aliments et quantités optimales à recommander à partir des enquêtes transversales récentes et des recommandations nutritionnelles de l’OMS. Résultats : Les quantités et portions d'aliments recommandées à la consommation ont été déterminées. Les résultats ont été partagés avec les personnes-ressources en nutrition au Bénin. Le premier prototype du GA a été développé pour restitution subséquente aux autorités du Bénin.

Modelling and Analysis of Some Time Series

The thesis deals with some of the non-linear Gaussian and non-Gaussian time models and mainly concentrated in studying the properties and application of a first order autoregressive process with Cauchy marginal distribution. In this thesis some of the non-linear Gaussian and non-Gaussian time series models and mainly concentrated in studying the properties and application of a order autoregressive process with Cauchy marginal distribution. Time series relating to prices, consumptions, money in circulation, bank deposits and bank clearing, sales and profit in a departmental store, national income and foreign exchange reserves, prices and dividend of shares in a stock exchange etc. are examples of economic and business time series. The thesis discuses the application of a threshold autoregressive(TAR) model, try to fit this model to a time series data. Another important non-linear model is the ARCH model, and the third model is the TARCH model. The main objective here is to identify an appropriate model to a given set of data. The data considered are the daily coconut oil prices for a period of three years. Since it is a price data the consecutive prices may not be independent and hence a time series based model is more appropriate. In this study the properties like ergodicity, mixing property and time reversibility and also various estimation procedures used to estimate the unknown parameters of the process.

On the generalized obnoxious center problem: antimedian subsets

The set of vertices that maximize (minimize) the remoteness is the antimedian (median) set of the profile. It is proved that for an arbitrary graph G and S V (G) it can be decided in polynomial time whether S is the antimedian set of some profile. Graphs in which every antimedian set is connected are also considered.