Effect of GA3, KNO3, and removing of basal point of seeds on germination of sweet granadilla (Passiflora ligularis Juss) and yellow passion fruit (Passiflora edulis f. flavicarpa)

Passiflora seeds germinate erratically presenting difficulties for their handling in a greenhouse. The effect of removing of basal point of seeds (RB) and pre-imbibition of seeds of sweet granadilla and yellow passion fruit in 50, 100, 200, and 400 mg mL-1 solutions of gibberellic acid (GA3) or 0.1% KNO3 solution was studied. The experiment was conducted in greenhouses in La Plata, Colombia. Two accessions PrJ1 and PrJ2 of sweet granadilla were evaluated. There were calculated the final percentage of germination (PG), mean germination time (MGT), and the mean germination rate (MGR). The leaf area and dry mass of seedlings were measured 22 days after sowing (das); with this data, specific leaf area and relation root/shoot were calculated. In all cases, the highest germination percentages were achieved treating seeds with KNO3 (89, 92, and 87% for yellow passion fruit, PrJ2, and PrJ1, respectively), but the increase in MGR (3.3 germinated seeds per day) and the decrease in MGT (16 days) were only significant for PrJ1. RB had a significant reduction of PG in all cases (28, 12, and 33% for passion fruit, PrJ2 and PrJ1, respectively). With the increase in the concentration of GA3, PG was reduced for two accessions of sweet granadilla, for yellow passion fruit this trend was not clear, no treatment with GA3 showed significant differences with the control. Leaf area (24.07 cm2) and dry mass of seedlings (135 mg) were significantly higher than seeds previously treated with KNO3 only for PrJ1.The solution of KNO3 0,1% is recommended to improve the germination and initial growth of granadilla seedlings.

La santé en Suisse : le point sur les maladies chroniques : rapport national sur la santé 2015

Le vieillissement de la population va de pair avec une progression constante des maladies chroniques dans notre société. Les modes de vie modernes favorisent l'apparition de ces maladies, notamment par le tabagisme, par le manque d'activité physique et par une alimentation déséquilibrée. Les maladies chroniques somatiques sont aujourd'hui dans la ligne de mire des responsables de la politique de la santé. Elles constituent, avec les maladies chroniques psychiques, dont les conséquences sont multiples, un défi de taille pour notre système de santé et un problème majeur de santé publique. La prise en charge des maladies chroniques requiert une bonne coordination du système de santé. La Confédération et les cantons y travaillent activement en s'engageant par exemple dans le domaine du personnel de santé et de l'organisation des structures de soins. Confédération et cantons contribuent à faire en sorte que les maladies chroniques psychiques ou somatiques deviennent moins fréquentes ou soient traitées suffisamment tôt. Tels sont les objectifs des politiques de promotion de la santé et de prévention des maladies, dont l'importance ira croissant à l'avenir. Le présent rapport national sur la santé donne une vue d'ensemble de la santé dans la population suisse; il met en lumière certains aspects importants des maladies chroniques dans notre pays. Puisse-t-il donner des impulsions nouvelles et aider les acteurs du système suisse de santé à maîtriser ensemble les défis liés à ces maladies.

Populaation monimuotoisuuden mittaaminen liukulukukoodatuissa evoluutioalgoritmeissa

Diplomityössä esitetään menetelmä populaation monimuotoisuuden mittaamiseen liukulukukoodatuissa evoluutioalgoritmeissa, ja tarkastellaan kokeellisesti sen toimintaa. Evoluutioalgoritmit ovat populaatiopohjaisia menetelmiä, joilla pyritään ratkaisemaan optimointiongelmia. Evoluutioalgoritmeissa populaation monimuotoisuuden hallinta on välttämätöntä, jotta suoritettu haku olisi riittävän luotettavaa ja toisaalta riittävän nopeaa. Monimuotoisuuden mittaaminen on erityisen tarpeellista tutkittaessa evoluutioalgoritmien dynaamista käyttäytymistä. Työssä tarkastellaan haku- ja tavoitefunktioavaruuden monimuotoisuuden mittaamista. Toistaiseksi ei ole ollut olemassa täysin tyydyttäviä monimuotoisuuden mittareita, ja työn tavoitteena on kehittää yleiskäyttöinen menetelmä liukulukukoodattujen evoluutioalgoritmien suhteellisen ja absoluuttisen monimuotoisuuden mittaamiseen hakuavaruudessa. Kehitettyjen mittareiden toimintaa ja käyttökelpoisuutta tarkastellaan kokeellisesti ratkaisemalla optimointiongelmia differentiaalievoluutioalgoritmilla. Toteutettujen mittareiden toiminta perustuu keskihajontojen laskemiseen populaatiosta. Keskihajonnoille suoritetaan skaalaus, joko alkupopulaation tai nykyisen populaation suhteen, riippuen lasketaanko absoluuttista vai suhteellista monimuotoisuutta. Kokeellisessa tarkastelussa havaittiin kehitetyt mittarit toimiviksi ja käyttökelpoisiksi. Tavoitefunktion venyttäminen koordinaattiakseleiden suunnassa ei vaikuta mittarin toimintaan. Myöskään tavoitefunktion kiertäminen koordinaatistossa ei vaikuta mittareiden tuloksiin. Esitetyn menetelmän aikakompleksisuus riippuu lineaarisesti populaation koosta, ja mittarin toiminta on siten nopeaa suuriakin populaatioita käytettäessä. Suhteellinen monimuotoisuus antaa vertailukelpoisia tuloksia riippumatta parametrien lukumäärästä tai populaation koosta.

Distal and proximal influences on the use of business and moral frames in responsible decisions

We empirically contribute to the debate on business education in building on a decision frame perspective of decision making in corporate responsibility settings. Business schools have been accused to teach amoral theories, leading their students to behave less morally and engendering corporate responsibility scandals. Research has also pointed toward self-selection: business students would differ from non-business students before entering business school. We examine the role of socioeconomic status, core self-evaluations in this regard. Further, we investigate the belief in a free market as a distal influence triggering a business frame, and moral intensity as a proximal influence triggering a moral frame on responsible decision making by business and non-business students. Cross-sectional data obtained from 566 students on two decision making scenarios mostly supported our hypotheses. Socioeconomic status but not core self-evaluations explain the belief in a free market, and had indirect effects on the likelihood to make a less responsible decision. Importantly, the relationship between business studies and the belief in a free market remained significant after accounting for these variables. Our study thus contributes to the socialization and self-selection arguments. We discuss theoretical and practical implications for research on decision frames and for business education, respectively.

A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions

A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we propose an algorithm for estimating the input signal only by observing the output of the Wiener system. The algorithm is based on minimizing the mutual information of the output samples, by means of a steepest descent gradient approach.

Improving algorithm speed in PNL mixture separation and Wiener system inversion

This paper proposes a very simple method for increasing the algorithm speed for separating sources from PNL mixtures or invertingWiener systems. The method is based on a pertinent initialization of the inverse system, whose computational cost is very low. The nonlinear part is roughly approximated by pushing the observations to be Gaussian; this method provides a surprisingly good approximation even when the basic assumption is not fully satisfied. The linear part is initialized so that outputs are decorrelated. Experiments shows the impressive speed improvement.

Profit repatriation of a Polish subsidiary from tax planning point of view of an international corporation

The main purpose of this study was to examine and compare the possibilities of profit repatriation from the point of view of tax planning of an international corporation, in such a case that a Finnish parent company has a subsidiary in Poland. The main research problem was divided into two sub research problems: 1) to examine concepts and principles of international taxation and tax planning from the point of view of international corporations and 2) to discuss the main features of Polish Companies-, Accounting- and Tax Act from the point of view a Finnish parent company. The research method of this study is mainly decision making, comparative analysis. In this study have been discussed the possibilities of international profit repatriation for supporting the decision making of the management of a Finnish parent company. In addition different repatriation possibilities have been compared. In this study has been noticed that a Finnish parent company can repatriate profit of its Polish subsidiary either directly as dividends or by using indirect methods such as interests, royalties, management fees and transfer pricing of goods. The total tax burden of dividends is heavier than the tax burden of indirect methods. It was also concluded that during the last years the Polish legislation has been renewed in order to prevent hidden dividend distribution. This has been done by implementing new rules of transfer pricing and thin capitalization.

An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.

Although fetal anatomy can be adequately viewed in new multi-slice MR images, many critical limitations remain for quantitative data analysis. To this end, several research groups have recently developed advanced image processing methods, often denoted by super-resolution (SR) techniques, to reconstruct from a set of clinical low-resolution (LR) images, a high-resolution (HR) motion-free volume. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has been quite attracted by Total Variation energies because of their ability in edge preserving but only standard explicit steepest gradient techniques have been applied for optimization. In a preliminary work, it has been shown that novel fast convex optimization techniques could be successfully applied to design an efficient Total Variation optimization algorithm for the super-resolution problem. In this work, two major contributions are presented. Firstly, we will briefly review the Bayesian and Variational dual formulations of current state-of-the-art methods dedicated to fetal MRI reconstruction. Secondly, we present an extensive quantitative evaluation of our SR algorithm previously introduced on both simulated fetal and real clinical data (with both normal and pathological subjects). Specifically, we study the robustness of regularization terms in front of residual registration errors and we also present a novel strategy for automatically select the weight of the regularization as regards the data fidelity term. Our results show that our TV implementation is highly robust in front of motion artifacts and that it offers the best trade-off between speed and accuracy for fetal MRI recovery as in comparison with state-of-the art methods.