O sistema político, partidário e eleitoral da República de Malta

This work is a study which deals with political, electoral and party features from the Republic of Malta. An interest that motivated the study is to understand how works the consolidated two-party system in the country, the cleavages which foster that features and the Maltese media groups alignment process to those prevailing political parties. Our goal is to identify the main factors which creates and maintain those features of a two-party model in Malta, and how much it overlaps the political and electoral models applied in the country. The analysis is mostly literature, also backing up data about the nation, on elections and political parties which allow enough stability for analysis and enables us an approach about the actual facts. The survey data and literature available is mainly in English, by the lack of academic papers on Malta in Brazilian Portuguese. Therefore, this work contributes as a small panorama of the Maltese political reality, which can serve as a point of comparison and reflection on other countries' realities, with a sharp bipolar political trend, strong social entrenchment of political parties, and media groups aligned to those

Framework para integração semântica de dados geoespaciais: integração de dados geológicos

Pós-graduação em Ciência da Computação - IBILCE

Procedimenti di ottimizzazione di sistemi smorzati

La presente tesi riguarda lo studio di procedimenti di ottimizzazione di sistemi smorzati. In particolare, i sistemi studiati sono strutture shear-type soggette ad azioni di tipo sismico impresse alla base. Per effettuare l’ottimizzazione dei sistemi in oggetto si agisce sulle rigidezze di piano e sui coefficienti di smorzamento effettuando una ridistribuzione delle quantità suddette nei piani della struttura. È interessante effettuare l’ottimizzazione di sistemi smorzati nell’ottica della progettazione antisismica, in modo da ridurre la deformata della struttura e, conseguentemente, anche le sollecitazioni che agiscono su di essa. Il lavoro consta di sei capitoli nei quali vengono affrontate tre procedure numerico-analitiche per effettuare l’ottimizzazione di sistemi shear-type. Nel primo capitolo si studia l’ottimizzazione di sistemi shear-type agendo su funzioni di trasferimento opportunamente vincolate. In particolare, le variabili di progetto sono le rigidezze di piano, mentre i coefficienti di smorzamento e le masse di piano risultano quantità note e costanti durante tutto il procedimento di calcolo iterativo; per effettuare il controllo dinamico della struttura si cerca di ottenere una deformata pressoché rettilinea. Tale condizione viene raggiunta ponendo le ampiezze delle funzioni di trasferimento degli spostamenti di interpiano pari all’ampiezza della funzione di trasferimento del primo piano. Al termine della procedura si ottiene una ridistribuzione della rigidezza complessiva nei vari piani della struttura. In particolare, si evince un aumento della rigidezza nei piani più bassi che risultano essere quelli più sollecitati da una azione impressa alla base e, conseguentemente, si assiste ad una progressiva riduzione della variabile di progetto nei piani più alti. L’applicazione numerica di tale procedura viene effettuata nel secondo capitolo mediante l’ausilio di un programma di calcolo in linguaggio Matlab. In particolare, si effettua lo studio di sistemi a tre e a cinque gradi di libertà. La seconda procedura numerico-analitica viene presentata nel terzo capitolo. Essa riguarda l’ottimizzazione di sistemi smorzati agendo simultaneamente sulla rigidezza e sullo smorzamento e consta di due fasi. La prima fase ricerca il progetto ottimale della struttura per uno specifico valore della rigidezza complessiva e dello smorzamento totale, mentre la seconda fase esamina una serie di progetti ottimali in funzione di diversi valori della rigidezza e dello smorzamento totale. Nella prima fase, per ottenere il controllo dinamico della struttura, viene minimizzata la somma degli scarti quadratici medi degli spostamenti di interpiano. Le variabili di progetto, aggiornate dopo ogni iterazione, sono le rigidezze di piano ed i coefficienti di smorzamento. Si pone, inoltre, un vincolo sulla quantità totale di rigidezza e di smorzamento, e i valori delle rigidezze e dei coefficienti di smorzamento di ogni piano non devono superare un limite superiore posto all’inizio della procedura. Anche in questo caso viene effettuata una ridistribuzione delle rigidezze e dei coefficienti di smorzamento nei vari piani della struttura fino ad ottenere la minimizzazione della funzione obiettivo. La prima fase riduce la deformata della struttura minimizzando la somma degli scarti quadrarici medi degli spostamenti di interpiano, ma comporta un aumento dello scarto quadratico medio dell’accelerazione assoluta dell’ultimo piano. Per mantenere quest’ultima quantità entro limiti accettabili, si passa alla seconda fase in cui si effettua una riduzione dell’accelerazione attraverso l’aumento della quantità totale di smorzamento. La procedura di ottimizzazione di sistemi smorzati agendo simultaneamente sulla rigidezza e sullo smorzamento viene applicata numericamente, mediante l’utilizzo di un programma di calcolo in linguaggio Matlab, nel capitolo quattro. La procedura viene applicata a sistemi a due e a cinque gradi di libertà. L’ultima parte della tesi ha come oggetto la generalizzazione della procedura che viene applicata per un sistema dotato di isolatori alla base. Tale parte della tesi è riportata nel quinto capitolo. Per isolamento sismico di un edificio (sistema di controllo passivo) si intende l’inserimento tra la struttura e le sue fondazioni di opportuni dispositivi molto flessibili orizzontalmente, anche se rigidi in direzione verticale. Tali dispositivi consentono di ridurre la trasmissione del moto del suolo alla struttura in elevazione disaccoppiando il moto della sovrastruttura da quello del terreno. L’inserimento degli isolatori consente di ottenere un aumento del periodo proprio di vibrare della struttura per allontanarlo dalla zona dello spettro di risposta con maggiori accelerazioni. La principale peculiarità dell’isolamento alla base è la possibilità di eliminare completamente, o quantomeno ridurre sensibilmente, i danni a tutte le parti strutturali e non strutturali degli edifici. Quest’ultimo aspetto è importantissimo per gli edifici che devono rimanere operativi dopo un violento terremoto, quali ospedali e i centri operativi per la gestione delle emergenze. Nelle strutture isolate si osserva una sostanziale riduzione degli spostamenti di interpiano e delle accelerazioni relative. La procedura di ottimizzazione viene modificata considerando l’introduzione di isolatori alla base di tipo LRB. Essi sono costituiti da strati in elastomero (aventi la funzione di dissipare, disaccoppiare il moto e mantenere spostamenti accettabili) alternati a lamine in acciaio (aventi la funzione di mantenere una buona resistenza allo schiacciamento) che ne rendono trascurabile la deformabilità in direzione verticale. Gli strati in elastomero manifestano una bassa rigidezza nei confronti degli spostamenti orizzontali. La procedura di ottimizzazione viene applicata ad un telaio shear-type ad N gradi di libertà con smorzatori viscosi aggiunti. Con l’introduzione dell’isolatore alla base si passa da un sistema ad N gradi di libertà ad un sistema a N+1 gradi di libertà, in quanto l’isolatore viene modellato alla stregua di un piano della struttura considerando una rigidezza e uno smorzamento equivalente dell’isolatore. Nel caso di sistema sheat-type isolato alla base, poiché l’isolatore agisce sia sugli spostamenti di interpiano, sia sulle accelerazioni trasmesse alla struttura, si considera una nuova funzione obiettivo che minimizza la somma incrementata degli scarti quadratici medi degli spostamenti di interpiano e delle accelerazioni. Le quantità di progetto sono i coefficienti di smorzamento e le rigidezze di piano della sovrastruttura. Al termine della procedura si otterrà una nuova ridistribuzione delle variabili di progetto nei piani della struttura. In tal caso, però, la sovrastruttura risulterà molto meno sollecitata in quanto tutte le deformazioni vengono assorbite dal sistema di isolamento. Infine, viene effettuato un controllo sull’entità dello spostamento alla base dell’isolatore perché potrebbe raggiungere valori troppo elevati. Infatti, la normativa indica come valore limite dello spostamento alla base 25cm; valori più elevati dello spostamento creano dei problemi soprattutto per la realizzazione di adeguati giunti sismici. La procedura di ottimizzazione di sistemi isolati alla base viene applicata numericamente mediante l’utilizzo di un programma di calcolo in linguaggio Matlab nel sesto capitolo. La procedura viene applicata a sistemi a tre e a cinque gradi di libertà. Inoltre si effettua il controllo degli spostamenti alla base sollecitando la struttura con il sisma di El Centro e il sisma di Northridge. I risultati hanno mostrato che la procedura di calcolo è efficace e inoltre gli spostamenti alla base sono contenuti entro il limite posto dalla normativa. Giova rilevare che il sistema di isolamento riduce sensibilmente le grandezze che interessano la sovrastruttura, la quale si comporta come un corpo rigido al di sopra dell’isolatore. In futuro si potrà studiare il comportamento di strutture isolate considerando diverse tipologie di isolatori alla base e non solo dispositivi elastomerici. Si potrà, inoltre, modellare l’isolatore alla base con un modello isteretico bilineare ed effettuare un confronto con i risultati già ottenuti per il modello lineare.

Ansätze zur Qualitätsbewertung von generativen Fertigungsverfahren durch die Einführung eines Kennzahlensystems

Generative Fertigungsverfahren haben sich in den letzten Jahren als effektive Werkzeuge für die schnelle Entwicklung von Produkten nahezu beliebiger Komplexität entwickelt. Gleichzeitig wird gefordert, die Reproduzierbarkeit der Bauteile und auch seriennahe bzw. seriengleiche Eigenschaften zu gewährleisten. Die Vielfalt und der Umfang der Anwendungen sowie die große Anzahl verschiedener generativer Fertigungsverfahren verlangen adäquate Qualitätsüberwachungs- und Qualitätskontrollsysteme. Ein Lösungsansatz für die Qualitätsbewertung von generativen Fertigungsverfahren besteht in der Einführung eines Kennzahlensystems. Hierzu müssen zunächst Anforderungsprofile und Qualitätsmerkmale für generativ hergestellte Bauteile definiert werden, welche durch Prüfkörpergeometrien abgebildet und mit Hilfe von Einzelkennzahlen klassifiziert werden. In Rahmen der durchgeführten Untersuchungen wurde die Qualitätsbewertung anhand von Prüfkörpergeometrien am Beispiel des Laser-Sinterprozesses qualifiziert. Durch Beeinflussung der Prozessparameter, d.h. der gezielten Einbringung von Störgrößen, welche einzeln oder in Kombination zu unzulässigen Qualitätsschwankungen führen können, ist es möglich, die Qualität des Produktes zu beurteilen. Die Definition von Einzelkennzahlen, die eine Steuerung und Kontrolle sowie eine Vorhersage potentieller Fehler ermöglicht, bietet hierbei essentielle Möglichkeiten zur Qualitätsbewertung. Eine Zusammenführung zu einem gesamtheitlichen Kennzahlensystem soll zum einen den Prozess auf Grundlage der definierten Anforderungsprofile bewerten und zum anderen einen direkten Zusammenhang der ausgewählten Störgrößen und Prozessgrößen herleiten, um vorab eine Aussage über die Bauteilqualität treffen zu können.

Calibration of cosmogenic noble gas production based on ³⁶Cl-³⁶Ar ages. Part 2. The ⁸¹Kr-Kr dating technique

We calibrated the ⁸¹Kr-Kr dating system for ordinary chondrites of different sizes using independent shielding-corrected ³⁶Cl-³⁶Ar ages. Krypton concentrations and isotopic compositions were measured in bulk samples from 14 ordinary chondrites of high petrologic type and the cosmogenic Kr component was obtained by subtracting trapped Kr from phase Q. The thus-determined average cosmogenic ⁷⁸Kr/⁸³Kr, ⁸⁰Kr/⁸³Kr, ⁸²Kr/⁸³Kr, and ⁸4Kr/⁸³Kr ratiC(Lavielle and Marti 1988; Wieler 2002). The cosmogenic ⁷⁸Kr/⁸³Kr ratio is correlated with the cosmogenic 22Ne/21Ne ratio, confirming that ⁷⁸Kr/⁸³Kr is a reliable shielding indicator. Previously, ⁸¹Kr-Kr ages have been determined by assuming the cosmogenic production rate of ⁸¹Kr, P(⁸¹Kr)c, to be 0.95 times the average of the cosmogenic production rates of ⁸⁰Kr and ⁸²Kr; the factor Y = 0.95 therefore accounts for the unequal production of the various Kr isotopes (Marti 1967a). However, Y should be regarded as an empirical adjustment. For samples whose ⁸⁰Kr and ⁸²Kr concentrations may be affected by neutron-capture reactions, the shielding-dependent cosmogenic (⁷⁸Kr/⁸³Kr)c ratio has been used instead to calculate P(⁸¹Kr)/P(⁸³Kr), as for some lunar samples, this ratio has been shown to linearly increase with (⁷⁸Kr/⁸³Kr)c (Marti and Lugmair 1971). However, the ⁸¹Kr-Kr ages of our samples calculated with these methods are on average ~30% higher than their ³⁶Cl-³⁶Ar ages, indicating that most if not all the ⁸¹Kr-Kr ages determined so far are significantly too high. We therefore re-evaluated both methods to determine P(⁸¹Kr)c/P(⁸³Kr)c. Our new Y value of 0.70 ± 0.04 is more than 25% lower than the value of 0.95 used so far. Furthermore, together with literature data, our data indicate that for chondrites, P(⁸¹Kr)c/P(⁸³Kr)c is rather constant at 0.43 ± 0.02, at least for the shielding range covered by our samples ([⁷⁸Kr/⁸³Kr]c = 0.119–0.185; [22Ne/21Ne]c = 1.083–1.144), in contrast to the observations on lunar samples. As expected considering the method used, ⁸¹Kr-Kr ages calculated either directly with this new P(⁸¹Kr)c/P(⁸³Kr)c value or with our new Y value both agree with the corresponding ³⁶Cl-³⁶Ar ages. However, the average deviation of 2% indicates the accuracy of both new ⁸¹Kr-Kr dating methods and the precision of the new dating systems of ~10% is demonstrated by the low scatter in the data. Consequently, this study indicates that the ⁸¹Kr-Kr ages published so far are up to 30% too high.

Weight-for-age percentile and its association to community acquired methicillin resistant Staphylococcus aureus among pediatric patients in Houston, TX

BACKGROUND: Weight has been implicated as a risk factor for symptomatic community-acquired methicillin resistant Staphylococcus Aureus (CA-MRSA). Information from Texas Children's Hospital (TCH) in Houston, TX was used to implement a case-control study to assess weight-for-age percentile (WFA), race and seasonal exposure as risk factors. ^ METHODS: A retrospective chart review to collect data from TCH was conducted covering the time period January 1st, 2008 to May 31st, 2011. Cases were confirmed and identified by the infectious disease department and were matched on a 1:1 ratio to controls that were seen by the emergency department for non-infected fractures from June 1st, 2008 to May 31st, 2011. Data abstraction was performed using TCH's electronic medical records (EMR) system (EPIC ®). ^ RESULTS: Of 702 CA-MRSA identified cases, ages 9 to 16.99, 564 (80.3%) had the variable `weight' present in their EMR, were not duplicates and not determined to be outliers. Cases were randomly matched to a pool of available controls (n=1864) according to age and gender, yielding 539 1:1 matched pairs (95.5% case matching success) with a total study sample size, N=1078. Case median age was 13.38 years with the majority being White (66.05%) and male (59.4%). Adjusted conditional logistic regression analysis of the matched pairs identified the following risk factors to presenting with CA-MRSA infection among pediatric patients, ages 9 to 16.99 years: a) Individual weight in the highest (75th-99.9th) WFA quartile (OR=1.36; 95% confidence interval [CI]=1.06-1.74; P= 0.016), b) Infection during summer months (OR: 1.69; 95% CI=1.2-2.38; P= 0.003), c) patients of African American race/ethnicity (OR= 1.48; 95% CI=1.13-1.95; P= 0.004). ^ CONCLUSIONS: Pediatric patients, 9 to 16.99 years of age, in the highest WFA quartile (75th-99.9th), or of African-American race had an associated increased risk of presenting with CA-MRSA infection. Furthermore, children in this population were at a higher risk of contracting CA-MRSA infection during the summer season.^

Isotopic composition of ground ice, ebullition gases and thermokarst lake water, North America

Thermokarst lakes are thought to have been an important source of methane (CH4) during the last deglaciation when atmospheric CH4 concentrations increased rapidly. Here we demonstrate that meltwater from permafrost ice serves as an H source to CH4 production in thermokarst lakes, allowing for region-specific reconstructions of dD-CH4 emissions from Siberian and North American lakes. dD CH4 reflects regionally varying dD values of precipitation incorporated into ground ice at the time of its formation. Late Pleistocene-aged permafrost ground ice was the dominant H source to CH4 production in primary thermokarst lakes, whereas Holocene-aged permafrost ground ice contributed H to CH4 production in later generation lakes. We found that Alaskan thermokarst lake dD-CH4 was higher (-334 ± 17 per mil) than Siberian lake dD-CH4 (-381 ± 18 per mil). Weighted mean dD CH4 values for Beringian lakes ranged from -385 per mil to -382 per mil over the deglacial period. Bottom-up estimates suggest that Beringian thermokarst lakes contributed 15 ± 4 Tg CH4 /yr to the atmosphere during the Younger Dryas and 25 ± 5 Tg CH4 /yr during the Preboreal period. These estimates are supported by independent, top-down isotope mass balance calculations based on ice core dD-CH4 and d13C-CH4 records. Both approaches suggest that thermokarst lakes and boreal wetlands together were important sources of deglacial CH4.

MBIS: Multivariate Bayesian Image Segmentation Tool

We present MBIS (Multivariate Bayesian Image Segmentation tool), a clustering tool based on the mixture of multivariate normal distributions model. MBIS supports multi-channel bias field correction based on a B-spline model. A second methodological novelty is the inclusion of graph-cuts optimization for the stationary anisotropic hidden Markov random field model. Along with MBIS, we release an evaluation framework that contains three different experiments on multi-site data. We first validate the accuracy of segmentation and the estimated bias field for each channel. MBIS outperforms a widely used segmentation tool in a cross-comparison evaluation. The second experiment demonstrates the robustness of results on atlas-free segmentation of two image sets from scan-rescan protocols on 21 healthy subjects. Multivariate segmentation is more replicable than the monospectral counterpart on T1-weighted images. Finally, we provide a third experiment to illustrate how MBIS can be used in a large-scale study of tissue volume change with increasing age in 584 healthy subjects. This last result is meaningful as multivariate segmentation performs robustly without the need for prior knowledge.

Un modelo de relación entre los programas de innovación abierta y la creación de valor

En un mundo donde el cambio es constante y cada vez más vertiginoso, la innovación es el combustible que utilizan las empresas que permite su renovación constante y, como consecuencia, su supervivencia en el largo plazo. La innovación es sin dudas un elemento fundamental para determinar la capacidad de las empresas en crear valor a lo largo del tiempo, y por ello, las empresas suelen dedicar esfuerzos considerables y recursos de todo tipo para identificar nuevas alternativas de innovación que se adapten a su estrategia, cultura, objetivos y ambiciones corporativas. Una forma específica para llevar a cabo la innovación es la innovación abierta. Esta se entiende como la innovación que se realiza de manera conjunta con otras empresas o participantes del ecosistema. Cabe la aclaración que en este documento se toma la definición de ecosistema referida al conjunto de clientes, proveedores, competidores y otros participantes que interactúan en un mismo entorno donde existen posiciones de liderazgo que pueden cambiar a lo largo del tiempo (Moore 1996). El termino de innovación abierta fue acuñado por Henry Chesbrough hace algo mas de una década para referirse a esta forma particular de organizar la innovación corporativa. Como se observa en el presente trabajo la innovación abierta es un nuevo paradigma que ha capturado el interés académico y empresarial desde algo más de una década. Se verán varios casos de innovación abierta que se están llevando a cabo en diversos países y sectores de la economía. El objetivo principal de este trabajo de investigación es el de desarrollar y explicar un modelo de relación entre la innovación abierta y la creación de valor en las empresas. Para ello, y como objetivos secundarios, se ha investigado los elementos de un Programa de Innovación Abierta, los impulsores 1 de creación de valor, el proceso de creación de valor y, finalmente, la interacción entre estos tres elementos. Como producto final de la investigación se ha desarrollado un marco teórico general para establecer la conexión entre la innovación abierta y la creación de valor que facilita la explicación de la interacción entre ambos elementos. Se observa a partir de los casos de estudio que la innovación abierta puede abarcar todos los sectores de la economía, múltiples geografías y empresas de distintos tamaños (grandes empresas, pequeñas y medianas empresas, incluso empresas de reciente creación) cada una de ellas con distinta relevancia dentro del ecosistema en el que participan. Elementos de un Programa de Innovación Abierta La presente investigación comienza con la enumeración de los distintos elementos que se encuentran presentes en los Programas de Innovación Abierta. De esta manera, se describen los diversos elementos que se han identificado a través de la revisión de la literatura académica que se ha llevado a cabo. En función de una serie de características comunes, los distintos elementos se agrupan en cuatro niveles diferentes para lograr un mejor entendimiento de los Programas de Innovación Abierta. A continuación se detallan estos elementos § Organización del Programa. En primer lugar se menciona la existencia de una estructura organizativa capaz de cumplir una serie de objetivos establecidos previamente. Por su naturaleza de innovación abierta deberá existir cierto grado de interacción entre los distintos miembros que participen en el proceso de innovación. § Talento Interno. El talento interno asociado a los programas de innovación abierta juega un rol fundamental en la ejecución y éxito del programa. Bajo este nivel se asocian elementos como la cultura de innovación abierta y el liderazgo como mecanismo para entender uno de los elementos que explica el grado de adopción de innovación en una empresa. Estrechamente ligados al liderazgo se encuentran los comportamientos organizacionales como elementos diferenciadores para aumentar las posibilidades de creación de innovación abierta. § Infraestructura. En este nivel se agrupan los elementos relacionados con la infraestructura tecnológica necesaria para llevar a cabo el programa incluyendo los procesos productivos y las herramientas necesarias para la gestión cotidiana. § Instrumentos. Por último, se mencionan los instrumentos o vehículos que se utilizan en el entorno corporativo para implementar innovación abierta. Hay varios instrumentos disponibles como las incubadoras corporativas, los acuerdos de licenciamiento o las áreas de capital de riesgo corporativo. Para este último caso se hará una mención especial por el creciente y renovado interés que ha despertado tanto en el entorno académico como empresarial. Se ha identificado al capital de riesgo corporativo como un de los elementos diferenciales en el desarrollo de la estrategia de innovación abierta de las empresas ya que suele aportar credibilidad, capacidad y soporte tecnológico. Estos cuatro elementos, interactuando de manera conjunta y coordinada, tienen la capacidad de crear, potenciar e incluso desarrollar impulsores de creación de valor que impactan en la estrategia y organización de la empresa y partir de aquí en su desempeño financiero a lo largo del tiempo. Los Impulsores de Creación de Valor Luego de identificar, ordenar y describir los distintos elementos presentes en un Programa de Innovación Abierta se ha avanzado en la investigación con los impulsores de creación de valor. Estos pueden definirse como elementos que potencian o determinan la capacidad de crear valor dentro del entorno empresarial. Como se puede observar, se detallan estos impulsores como punto de interacción entre los elementos del programa y el proceso de creación de valor corporativo. A lo largo de la presente investigación se han identificado 6 impulsores de creación de valor presentes en un Programa de Innovación Abierta. § Nuevos Productos y Servicios. El impulsor de creación de valor más directo y evidente en un Programa de Innovación Abierta es la capacidad de crear nuevos productos y servicios dado que se relacionan directamente con el proceso de innovación de la empresa § Acceso a Mercados Adyacentes. El proceso de innovación también puede ser una fuente de valor al permitir que la empresa acceda a mercados cercanos a su negocio tradicional, es decir satisfaciendo nuevas necesidades de sus clientes existentes o de nuevos clientes en otro mercado. § Disponibilidad de Tecnologías. La disponibilidad de tecnologías es un impulsor en si mismo de la creación de valor. Estas pueden ser tanto complementarias como de apalancamiento de tecnologías ya existentes dentro de la empresa y que tengan la función de transformar parte de los componentes de la estrategia de la empresa. § Atracción del Talento Externo. La introducción de un Programa de Innovación Abierta en una empresa ofrece la oportunidad de interactuar con otras organizaciones del ecosistema y, por tanto, de atraer el talento externo. La movilidad del talento es una característica singular de la innovación abierta. § Participación en un Ecosistema Virtuoso. Se ha observado que las acciones realizadas en el entorno por cualquiera de los participantes también tendrán un claro impacto en la creación de valor para el resto de participantes por lo tanto la participación en un ecosistema virtuoso es un impulsor de creación de valor presente en la innovación abierta. § Tecnología “Dentro--‐Fuera”. Como último impulsor de valor es necesario comentar que la dirección que puede seguir la tecnología puede ser desde la empresa hacia el resto del ecosistema generando valor a partir de disponibilizar tecnologías que no son de utilidad interna para la empresa. Estos seis impulsores de creación de valor, presentes en los procesos de innovación corporativos, tienen la capacidad de influir en la estrategia y organización de la empresa aumentando su habilidad de crear valor. El Proceso de Creación de Valor en las Empresas Luego se ha investigado la práctica de la gestión basada en valor que sostiene la necesidad de alinear la estrategia corporativa y el diseño de la organización con el fin de obtener retornos financieros superiores al resto de los competidores de manera sostenida, y finalmente crear valor a lo largo del tiempo. Se describe como los impulsores de creación de valor influyen en la creación y fortalecimiento de las ventajas competitivas de la empresa impactando y alineando su estrategia y organización. Durante la investigación se ha identificado que las opciones reales pueden utilizarse como una herramienta para gestionar entornos de innovación abierta que, por definición, tienen altos niveles de incertidumbre. Las opciones reales aportan una capacidad para la toma de decisiones de forma modular y flexible que pueden aplicarse al entorno corporativo. Las opciones reales han sido particularmente diseñadas para entender, estructurar y gestionar entornos de múltiples incertidumbres y por ello tienen una amplia aplicación en los entornos de innovación. Se analizan los usos potenciales de las opciones reales como complemento a los distintos instrumentos identificados en los Programas de Innovación Abierta. La Interacción Entre los Programas de Innovación Abierta, los Impulsores de Creación de Valor y el Proceso de Creación de Valor A modo de conclusión del presente trabajo se puede mencionar que se ha desarrollado un marco general de creación de valor en el entorno de los Programas de Innovación Abierta. Este marco general incluye tres elementos fundamentales. En primer lugar describe los elementos que se encuentran presentes en los Programas de Innovación Abierta, en segundo lugar como estos programas colaboran en la creación de los seis impulsores de creación de valor que se han identificado y finalmente en tercer lugar como estos impulsores impactan sobre la estrategia y la organización de la empresa para dar lugar a la creación de valor de forma sostenida. A través de un Programa de Innovación Abierta, se pueden desarrollar los impulsores de valor para fortalecer la posición estratégica de la empresa y su capacidad de crear de valor. Es lo que denominamos el marco de referencia para la creación de valor en un Programa de Innovación Abierta. Se presentará la idea que los impulsores de creación de valor pueden colaborar en generar una estrategia óptima que permita alcanzar un desempeño financiero superior y lograr creación de valor de la empresa. En resumen, se ha desarrollado un modelo de relación que describe el proceso de creación de valor en la empresa a partir de los Programas de Innovación Abierta. Para ello, se han identificado los impulsores de creación de valor y se ha descripto la interacción entre los distintos elementos del modelo. ABSTRACT In a world of constant, accelerating change innovation is fuel for business. Year after year, innovation allows firms to renew and, therefore, advance their long--‐term survival. Undoubtedly, innovation is a key element for the firms’ ability to create value over time. Companies often devote considerable effort and diverse resources to identify innovation alternatives that could fit into their strategy, culture, corporate goals and ambitions. Open innovation refers to a specific approach to innovate by collaborating with other firms operating within the same business ecosystem.2 The term open innovation was pioneered by Henry Chesbrough more than a decade ago to refer to this particular mode of driving corporate innovation. Open innovation is a new paradigm that has attracted academic and business interest for over a decade. Several cases of open innovation from different countries and from different economic sectors are included and reviewed in this document. The main objective of this study is to explain and develop a relationship model between open innovation and value creation. To this end, and as secondary objectives, we have explored the elements of an Open Innovation Program, the drivers of value creation, the process of value creation and, finally, the interaction between these three elements. As a final product of the research we have developed a general theoretical framework for establishing the connection between open innovation and value creation that facilitates the explanation of the interaction between the two. From the case studies we see that open innovation can encompass all sectors of the economy, multiple geographies and varying businesses – large companies, SMEs, including (even) start--‐ups – each with a different relevance within the ecosystem in which they participate. Elements of an Open Innovation Program We begin by listing and describing below the items that can be found in an Open Innovation Program. Many of such items have been identified through the review of relevant academic literature. Furthermore, in order to achieve a better understanding of Open Innovation, we have classified those aspects into four different categories according to the features they share. § Program Organization. An organizational structure must exist with a degree of interaction between the different members involved in the innovation process. This structure must be able to meet a number of previously established objectives. § Internal Talent. Internal talent plays a key role in the implementation and success of any Open Innovation program. An open innovation culture and leadership skills are essential for adopting either radical or incremental innovation. In fact, leadership is closely linked to organizational behavior and it is essential to promote open innovation. § Infrastructure. This category groups the elements related to the technological infrastructure required to carry out the program, including production processes and daily management tools. § Instruments. Finally, we list the instruments or vehicles used in the corporate environment to implement open innovation. Several instruments are available, such as corporate incubators, licensing agreements or venture capital. There has been a growing and renewed interest in the latter, both in academia and business circles. The use of corporate venture capital to sustain the development of the open innovation strategy brings ability, credibility, and technological support to the process. The combination of elements from these four categories, interacting in a coordinated way, makes it possible to create, enhance and develop value creation drivers that may impact the company’s strategy and organization and affect its financial performance over time. The Drivers of Value Creation After identifying describing and categorizing the different elements present in an Open Innovation Program our research examines the drivers of value creation. These can be defined as elements that enhance or determine the ability to create value in the business environment. As can be seen, these drivers can act as interacting points between the elements of the program and the process of value creation. The study identifies six drivers of value creation that might be found in an Open Innovation Program. § New Products and Services. The more direct and obvious driver of value creation in any Open Innovation Program is the ability to create new products and services. This is directly related to the company’s innovation process. § Access to Adjacent Markets. The innovation process can also serve as a source of value by granting access to adjacent markets through satisfying new needs for existing customers or attracting new customers from other markets. § Availability of Technologies. The availability of technology is in itself a driver for value creation. New technologies can either be complementary and/or can leverage existing technologies within the firm. They can partly transform certain elements of the company’s strategy. § External Talent Strategy. Incorporating an Open Innovation Program offers the opportunity to interact with other organizations operating in the same ecosystem and can therefore attract external skilled resources. Talent mobility is a unique feature of open innovation. § Becoming Part of a Virtuous Circle. The actions carried out in the environment by any of its members will also have a clear impact on value creation for the other participants. Participation in a virtuous ecosystem is thus a driver for value creation in an open innovation strategy. § Inside--‐out Technology. Value creation may also evolve by allowing other firms in the ecosystem to incorporate internally developed under--‐utilized technologies into their own innovation processes. These six drivers that are present in the innovation process can influence the strategy and the organization of the company, increasing its ability to create value. The Value Creation Process Value--‐based management is the management approach that requires aligning the corporate strategy and the organizational design to create value and obtain sustained financial returns (at least, higher returns than its competitors). We describe how the drivers of value creation can enhance corporate advantages by aligning its strategy and organization. During this study, we were able to determine that real options can be used as managing tools in open innovation environments which, by definition, have high uncertainty levels. Real options provide capability for flexible and modular decision--‐making in the business environment. In particular, real options have been designed for uncertainty management and, therefore, they may be widely applied in innovation environments. We analyze potential uses of real options to supplement the various instruments identified in the Open Innovation programs. The Interaction Between Open Innovation Programs, Value Creation drivers and Value Creation Process As a result of this study, we have developed a general framework for value creation in Open Innovation Programs. This framework includes three key elements. We first described the elements that are present in Open Innovation Programs. Next, we showed how these programs can boost six drivers of value creation that have been identified. Finally, we analyzed how the drivers impact on the strategy and organization of the company in order to lead to the creation of sustainable value. Through an Open Innovation Program, value drivers can be developed to strengthen a company’s strategic position and its ability to create value. That is what we call the framework for value creation in the Open Innovation Program. Value drivers can collaborate in generating an optimal strategy that helps foster a superior financial performance and a sustained value creation process. In sum, we have developed a relationship model that describes the process of creating value in a firm with an Open Innovation Program. We have identified the drivers of value creation and described how the different elements of the model interact with each other.

An opsonic function of the neutrophil bactericidal/permeability-increasing protein depends on both its N- and C-terminal domains

The host response to Gram-negative bacterial infection is influenced by two homologous lipopolysaccharide (LPS)-interactive proteins, LPS-binding protein (LBP) and the bacteridical/permeability-increasing protein (BPI). Both proteins bind LPS via their N-terminal domains but produce profoundly different effects: BPI and a bioactive N-terminal fragment BPI-21 exert a selective and potent antibacterial effect upon Gram-negative bacteria and suppress LPS bioactivity whereas LBP is not toxic toward Gram-negative bacteria and potentiates LPS bioactivity. The latter effect of LBP requires the C-terminal domain for delivery of LPS to CD14, so we postulated that the C-terminal region of BPI may serve a similar delivery function but to distinct targets. LBP, holoBPI, BPI-21, and LBP/BPI chimeras were compared for their ability to promote uptake by human phagocytes of an encapsulated, phagocytosis-resistant strain of Escherichia coli. We show that only bacteria preincubated with holoBPI are ingested by neutrophils and monocytes. These findings suggest that, when extracellular holoBPI is bound via its N-terminal domain to Gram-negative bacteria, the C-terminal domain promotes bacterial attachment to neutrophils and monocytes, leading to phagocytosis. Therefore, analogous to the role of the C-terminal domain of LBP in delivery of LPS to CD14, the C-terminal domain of BPI may fulfill a similar function in BPI-specific disposal pathways for Gram-negative bacteria.

Phosphatidylinositol 3-Kinase-mediated Endocytosis of Renal Na+,K+-ATPase α Subunit in Response to Dopamine

Dopamine (DA) inhibition of Na+,K+-ATPase in proximal tubule cells is associated with increased endocytosis of its α and β subunits into early and late endosomes via a clathrin vesicle-dependent pathway. In this report we evaluated intracellular signals that could trigger this mechanism, specifically the role of phosphatidylinositol 3-kinase (PI 3-K), the activation of which initiates vesicular trafficking and targeting of proteins to specific cell compartments. DA stimulated PI 3-K activity in a time- and dose-dependent manner, and this effect was markedly blunted by wortmannin and LY 294002. Endocytosis of the Na+,K+-ATPase α subunit in response to DA was also inhibited in dose-dependent manner by wortmannin and LY 294002. Activation of PI 3-K generally occurs by association with tyrosine kinase receptors. However, in this study immunoprecipitation with a phosphotyrosine antibody did not reveal PI 3-K activity. DA-stimulated endocytosis of Na+,K+-ATPase α subunits required protein kinase C, and the ability of DA to stimulate PI 3-K was blocked by specific protein kinase C inhibitors. Activation of PI 3-K is mediated via the D1 receptor subtype and the sequential activation of phospholipase A2, arachidonic acid, and protein kinase C. The results indicate a key role for activation of PI 3-K in the endocytic sequence that leads to internalization of Na+,K+-ATPase α subunits in response to DA, and suggest a mechanism for the participation of protein kinase C in this process.

Delivery of proteins into living cells by reversible membrane permeabilization with streptolysin-O

The pore-forming toxin streptolysin O (SLO) can be used to reversibly permeabilize adherent and nonadherent cells, allowing delivery of molecules with up to 100 kDa mass to the cytosol. Using FITC-labeled albumin, 105–106 molecules were estimated to be entrapped per cell. Repair of toxin lesions depended on Ca2+-calmodulin and on intact microtubules, but was not sensitive to actin disruption or to inhibition of protein synthesis. Resealed cells were viable for days and retained the capacity to endocytose and to proliferate. The active domains of large clostridial toxins were introduced into three different cell lines. The domains were derived from Clostridium difficile B-toxin and Clostridium sordelli lethal toxin, which glycosylate small G-proteins, and from Clostridium botulinum C2 toxin, which ADP-ribosylates actin. After delivery with SLO, all three toxins disrupted the actin cytoskeleton to cause rounding up of the cells. Glucosylation assays demonstrated that G-proteins Rho and Ras were retained in the permeabilized cells and were modified by the respective toxins. Inactivation of these G-proteins resulted in reduced stimulus-dependent granule secretion, whereas ADP-ribosylation of actin by the C. botulinum C2-toxin resulted in enhanced secretion in cells. The presented method for introducing proteins into living cells should find multifaceted application in cell biology.

Plant genome values: How much do we know?

Plants are the basis of life on earth. We cannot overemphasize their importance. The value of plant genome initiatives is self-evident. The need is to identify priorities for action. The angiosperm genome is highly variable, but the extent of this variability is unknown. Uncertainties remain about the number of genes and the number of species living. Many plants will become extinct before they are discovered. We risk losing both genes and vital information about plant uses. There are also major gaps in our karyotypic knowledge. No chromosome count exists for >70% of angiosperm species. DNA C values are known for only ≈1% of angiosperms, a sample unrepresentative of the global flora. Researchers reported new relationships between genome size and characters of major interest for plant breeding and the environment and the need for more data. In 1997, a Royal Botanic Gardens Kew workshop identified gaps and planned international collaboration to fill them. An electronic version of the Angiosperm DNA C value database also was published. Another initiative, which will make a very significant contribution to the conservation of plant genetic diversity on a global scale is Kew’s Millennium Seed Bank, partly funded by the U.K. Millennium Commission, celebrating the year 2000. Costing up to £80 million (£1 = $1.62), its main aims are to collect and conserve the seed of almost all of the U.K. spermatophyte flora by the year 2000, to collect and conserve a further 10% of the world spermatophyte flora principally from the drylands by 2009, and to provide a world class building as the focus of this activity by 2000.

Criação de valor para o cliente: um estudo exploratório sobre programas de Key Account Management (KAM)

Nas últimas décadas, a maturidade de alguns mercados, a globalização e o crescente poder de barganha dos clientes aumentam ainda mais a necessidade das empresas em manterem e desenvolverem de forma eficaz seus clientes mais importantes. Neste contexto, ganham relevância os programas de Key Account Management (KAM), iniciativas corporativas que tratam de forma especial os clientes mais importantes do fornecedor. Para obter o desempenho financeiro superior, o programa de KAM precisa criar valor para o cliente para posterior apropriação de valor pelo fornecedor. Contudo, a maioria dos estudos enfatiza a apropriação de valor pelo fornecedor, porém poucas pesquisas investigam a criação de valor para o cliente em programas de KAM. Além disso, a maioria das pesquisas em marketing de relacionamento ainda foca muito nos impactos positivos do relacionamento. Dessa forma, é importante analisar empiricamente como é a implementação da criação de valor para o cliente em programas de KAM, identificando as principais dimensões e os fatores críticos. O objetivo do presente estudo é analisar o processo de criação de valor para o cliente em programas de Key Account Management (KAM) e propor um modelo de criação de valor para o cliente segundo a perspectiva da empresa fornecedora. As análises e o modelo são elaborados a partir de um processo de investigação abdutiva, ou seja, a combinação entre a fundamentação teórica sobre o conceito de valor e programas de KAM e a análise de conteúdo de 22 entrevistas em profundidade com especialistas em programas de KAM, profissionais de marketing/vendas que trabalham por pelo menos cinco anos com programas de KAM em grandes empresas no Brasil. O modelo proposto explica de forma integrada e sistemática como é a criação de valor para o cliente em programas de KAM segundo cinco dimensões (Desenvolvimento de relacionamentos; Entendimento dos direcionadores de valor; Desenvolvimento da proposta de valor; Comunicação da proposta de valor; e mensuração de valor), quatro moderadores (Orientação relacional do cliente; Formalização do programa de KAM para o cliente; Abordagem do fornecedor: \"orientada ao cliente\" vs. \"orientar o cliente\"; e Fit estratégico entre o fornecedor e o cliente) e três riscos (Não entrega do valor básico para o cliente; Rotatividade do Key Account Manager; e Sentimento de injustiça do cliente). Contribui-se com a teoria sobre o tema, ao incluir uma dimensão específica no modelo para desenvolvimento de relacionamentos do nível da díade (organização-organização) e indivíduo (funcionário-funcionário), e ao abordar não somente aspectos positivos do relacionamento, mas também os aspectos negativos (ou riscos da criação de valor para o cliente). Contribui-se também para a prática, ao prover uma visão mais ampla, sistemática e integradora dos diversos elementos da criação de valor para o cliente aos executivos das empresas que possuem programas de KAM, e ao recomendar práticas organizacionais que servem como guias para a tomada de decisão dos gestores de programas de KAM. Ademais, como a parte empírica do estudo é baseada no contexto brasileiro, amplia-se o conhecimento sobre KAM no Brasil. Por fim, apresentam-se as limitações do estudo com a agenda de pesquisas futuras