How to potentiate the business model of Mobitto for B2B?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Internationalization Plan - How can UniPlaces improve its customer acquisition strategy in the London market?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Efficiency optimization of the transportation supply chain activity: the maritime option for Volkswagen Autoeuropa

Field Lab of Entrepreneurial Innovative Ventures

Podem as nossas leis tornar-nos mais atrativos?

The concept of soft power offers the opportunity for the States, under the current power shifts, to thrive, in a competitive and globalised scene, shaping o t hers' preference in accordance with their goals. Portugal, though it i s a small country, has soft power skills, according with specialized rankings, due to i t s geography and climate, main economic activities, historical role, legal framework, culture and language. Therefore, we can and we should develop public policies to optimize our resources, converting them in planned outcomes. On the other hand, public entities engaged with foreign trade, investment and tour ism, aid f or development, promotion of culture and language should be structured in or-der to strengthen the performance of Portugal in this area. Being a member of the European Union or of the Community of Portuguese Speaking Countries is, at last, essential to expand our global presence. In this Master's work project, I decided to make a critical analysis of legislation related with public diplomacy i n Portugal, together wi th research about the approach of two other countries (United Kingdom and Finland) to the same topic, for the sake of improvement.

Essays on bounded rationality: Individual decision and strategic interaction

Economics is a social science which, therefore, focuses on people and on the decisions they make, be it in an individual context, or in group situations. It studies human choices, in face of needs to be fulfilled, and a limited amount of resources to fulfill them. For a long time, there was a convergence between the normative and positive views of human behavior, in that the ideal and predicted decisions of agents in economic models were entangled in one single concept. That is, it was assumed that the best that could be done in each situation was exactly the choice that would prevail. Or, at least, that the facts that economics needed to explain could be understood in the light of models in which individual agents act as if they are able to make ideal decisions. However, in the last decades, the complexity of the environment in which economic decisions are made and the limits on the ability of agents to deal with it have been recognized, and incorporated into models of decision making in what came to be known as the bounded rationality paradigm. This was triggered by the incapacity of the unboundedly rationality paradigm to explain observed phenomena and behavior. This thesis contributes to the literature in three different ways. Chapter 1 is a survey on bounded rationality, which gathers and organizes the contributions to the field since Simon (1955) first recognized the necessity to account for the limits on human rationality. The focus of the survey is on theoretical work rather than the experimental literature which presents evidence of actual behavior that differs from what classic rationality predicts. The general framework is as follows. Given a set of exogenous variables, the economic agent needs to choose an element from the choice set that is avail- able to him, in order to optimize the expected value of an objective function (assuming his preferences are representable by such a function). If this problem is too complex for the agent to deal with, one or more of its elements is simplified. Each bounded rationality theory is categorized according to the most relevant element it simplifes. Chapter 2 proposes a novel theory of bounded rationality. Much in the same fashion as Conlisk (1980) and Gabaix (2014), we assume that thinking is costly in the sense that agents have to pay a cost for performing mental operations. In our model, if they choose not to think, such cost is avoided, but they are left with a single alternative, labeled the default choice. We exemplify the idea with a very simple model of consumer choice and identify the concept of isofin curves, i.e., sets of default choices which generate the same utility net of thinking cost. Then, we apply the idea to a linear symmetric Cournot duopoly, in which the default choice can be interpreted as the most natural quantity to be produced in the market. We find that, as the thinking cost increases, the number of firms thinking in equilibrium decreases. More interestingly, for intermediate levels of thinking cost, an equilibrium in which one of the firms chooses the default quantity and the other best responds to it exists, generating asymmetric choices in a symmetric model. Our model is able to explain well-known regularities identified in the Cournot experimental literature, such as the adoption of different strategies by players (Huck et al. , 1999), the inter temporal rigidity of choices (Bosch-Dom enech & Vriend, 2003) and the dispersion of quantities in the context of di cult decision making (Bosch-Dom enech & Vriend, 2003). Chapter 3 applies a model of bounded rationality in a game-theoretic set- ting to the well-known turnout paradox in large elections, pivotal probabilities vanish very quickly and no one should vote, in sharp contrast with the ob- served high levels of turnout. Inspired by the concept of rhizomatic thinking, introduced by Bravo-Furtado & Côrte-Real (2009a), we assume that each per- son is self-delusional in the sense that, when making a decision, she believes that a fraction of the people who support the same party decides alike, even if no communication is established between them. This kind of belief simplifies the decision of the agent, as it reduces the number of players he believes to be playing against { it is thus a bounded rationality approach. Studying a two-party first-past-the-post election with a continuum of self-delusional agents, we show that the turnout rate is positive in all the possible equilibria, and that it can be as high as 100%. The game displays multiple equilibria, at least one of which entails a victory of the bigger party. The smaller one may also win, provided its relative size is not too small; more self-delusional voters in the minority party decreases this threshold size. Our model is able to explain some empirical facts, such as the possibility that a close election leads to low turnout (Geys, 2006), a lower margin of victory when turnout is higher (Geys, 2006) and high turnout rates favoring the minority (Bernhagen & Marsh, 1997).

Optimization of the electrodialytic phosphorus recovery from sewage sludge ash

Phosphorus (P) is becoming a scarce element due to the decreasing availability of primary sources. Therefore, recover P from secondary sources, e.g. waste streams, have become extremely important. Sewage sludge ash (SSA) is a reliable secondary source of P. The use of SSAs as a direct fertilizer has very restricted legislation due to the presence of inorganic contaminants. Furthermore, the P present in SSAs is not in a plant-available form. The electrodialytic (ED) process is one of the methods under development to recover P and simultaneously remove heavy metals. The present work aimed to optimize the P recovery through a 2 compartment electrodialytic cell. The research was divided in three independent phases. In the first phase, ED experiments were carried out for two SSAs from different seasons, varying the duration of the ED process (2, 4, 6 and 9 days). During the ED treatment the SSA was suspended in distilled water in the anolyte, which was separated from the catholyte by a cation exchange membrane. From both ashes 90% of P was successfully extracted after 6 days of treatment. Regarding the heavy metals removal, one of the SSAs had a better removal than the other. Therefore, it was possible to conclude that SSAs from different seasons can be submitted to ED process under the same parameters. In the second phase, the two SSAs were exposed to humidity and air prior to ED, in order to carbonate them. Although this procedure was not successful, ED experiments were carried out varying the duration of the treatment (2 and 6 days) and the period of air exposure that SSAs were submitted to (7, 14 and 30 days). After 6 days of treatment and 30 days of air exposure, 90% of phosphorus was successfully extracted from both ashes. No differences were identified between carbonated and non-carbonated SSAs. Thus, SSAs that were exposed to the air and humidity, e.g. SSAs stored for 30 days in an open deposit, can be treated under the same parameters as the SSAs directly collected from the incineration process. In the third phase, ED experiments were carried out during 6 days varying the stirring time (0, 1, 2 and 4 h/day) in order to investigate if energy can be saved on the stirring process. After 6 days of treatment and 4 h/day stirring, 80% and 90% of P was successfully extracted from SSA-A and SSA-B, respectively. This value is very similar to the one obtained for 6 days of treatment stirring 24 h/day.

Production and characterization of Chitin-Glucan Complex by Komagataella pastoris

This thesis was focused on the production, extraction and characterization of chitin:β-glucan complex (CGC). In this process, glycerol byproduct from the biodiesel industry was used as carbon source. The selected CGC producing yeast was Komagataella pastoris (formerly known as Pichia pastoris), due the fact that to achieved high cell densities using as carbon source glycerol from the biodiesel industry. Firstly, a screening of K. pastoris strains was performed in shake flask assays, in order to select the strain of K. pastoris with better performance, in terms of growth, using glycerol as a carbon source. K. pastoris strain DSM 70877 achieved higher final cell densities (92-97 g/l), using pure glycerol (99%, w/v) and in glycerol from the biodiesel industry (86%, w/v), respectively, compared to DSM 70382 strain (74-82 g/l). Based on these shake flask assays results, the wild type DSM 70877 strain was selected to proceed for cultivation in a 2 l bioreactor, using glycerol byproduct (40 g/l), as sole carbon source. Biomass production by K. pastoris was performed under controlled temperature and pH (30.0 ºC and 5.0, respectively). More than 100 g/l biomass was obtained in less than 48 h. The yield of biomass on a glycerol basis was 0.55 g/g during the batch phase and 0.63 g/g during the fed-batch phase. In order to optimize the downstream process, by increasing extraction and purification efficiency of CGC from K. pastoris biomass, several assays were performed. It was found that extraction with 5 M NaOH at 65 ºC, during 2 hours, associated to neutralization with HCl, followed by successive washing steps with deionised water until conductivity of ≤20μS/cm, increased CGC purity. The obtained copolymer, CGCpure, had a chitin:glucan molar ratio of 25:75 mol% close to commercial CGC samples extracted from A. niger mycelium, kiOsmetine from Kitozyme (30:70 mol%). CGCpure was characterized by solid-state Nuclear Magnetic Resonance (NMR) spectroscopy and Differential Scanning Calorimetry (DCS), revealing a CGC with higher purity than a CGC commercial (kiOsmetine). In order to optimize CGC production, a set of batch cultivation experiments was performed to evaluate the effect of pH (3.5–6.5) and temperature (20–40 ºC) on the specific cell growth rate, CGC production and polymer composition. Statistical tools (response surface methodology and central composite design) were used. The CGC content in the biomass and the volumetric productivity (rp) were not significantly affected within the tested pH and temperature ranges. In contrast, the effect of pH and temperature on the CGC molar ratio was more pronounced. The highest chitin: β-glucan molar ratio (> 14:86) was obtained for the mid-range pH (4.5-5.8) and temperatures (26–33 ºC). The ability of K. pastoris to synthesize CGC with different molar ratios as a function of pH and temperature is a feature that can be exploited to obtain tailored polymer compositions.(...)

Modeling and optimization of extracellular polysaccharides production by Enterobacter A47

Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.

Elucidating the role of glycans in leucocyte function

RESUMO:O processo de glicosilação é a modificação pós-traducional de proteínas mais comum e está envolvido em vários processos fisiológicos e patológicos. Especificamente, certos perfis glicosídeos estão correlacionados a estados específicos de diferenciação celular, e podem modular vários eventos celulares, como sinalização celular, migração celular e interações hospedeiro-patogénio. Assim sendo, a glicosilação desempenha um papel crucial na modulação de vários processos imunológicos. No entanto, permanece por esclarecer como as estruturas glicosídicas influenciam a imunidade. Especificamente, algumas estruturas glicosídicas terminais que estão modificadas pela ligação de ácido siálico desempenham um papel importante em várias funções do sistema imune, nomeadamente migração leucocitária em contexto de inflamação e ativação de células imunes. Como tal, este trabalho teve como objectivo investigar como a expressão de certos glicanos influencia componentes importantes da resposta imune inata e adaptativa. Este trabalho está dividido em três componentes principais: 1) A imunidade está amplamente dependente da habilidade das células circulantes migrarem para os tecidos inflamados, sendo que a ligação de leucócitos à Eselectina endotelial é o primeiro passo. Assim, nós analisámos a estrutura e função dos ligandos de E-selectina que são expressos pelas células humanas mononucleares de sangue periférico (PBMCs), fornecendo novos conhecimentos para a compreensão dos intervenientes moleculares que mediam a ligação dos monócitos, células CD4+ e CD8+T e células B ao endotélio vascular. Surpreendentemente, os monócitos apresentaram maior capacidade de ligação à E-selectina comparativamente aos linfócitos. Esta observação pode ser explicada pelo facto de os monócitos humanos expressarem, uniformemente, um vasto reportório de glicoproteínas que exibem afinidade de ligação à E-selectina, nomeadamente: as glicoformas do CD43 (CD43E) e do CD44 (HCELL), em adição à já previamente reportada glicoforma da PSGL-1 (CLA). Consistentemente, a diferente capacidade que as diversas populações linfocitárias apresentam de se ligar à E-selectina, está integralmente relacionada com a sua expressão de glicoproteínas com afinidade de ligação à E-selectina. Enquanto que as células CD4+T apresentam uma elevada reatividade à E-selectina, as células CD8+T e B demonstram pouca ou nenhuma capacidade de ligação à E-selectina. Esta atividade de ligação à E-selectina das células CD4+T é conferida pela expressão de HCELL, em adição às já previamente reportadas CLA e CD43E. As células CD8+ T não expressam HCELL e apenas expressam pequenas quantidades de CLA e CD43E, enquanto que as células B não expressam ligandos de Eselectina. Mais, a exofucosilação da superfície destas células, levou ao dramático aumento da expressão dos ligandos de E-selectina em todos as populações leucocitárias, verificando-se que a criação de certos ligandos de E-selectina está dependente do tipo de célula, após fucosilação. Colectivamente, estes resultados redefinem o nosso conhecimento acerca dos mecanismos moleculares que governam o tráfico das células mononucleares de sangue periférico em contexto de inflamação. 2) A habilidade das células dendríticas (DCs) para extravasarem em locais de inflamação é crucial para o sucesso da terapia com DCs. Assim, analisámos a estrutura e função das moléculas de adesão que mediam a migração transendotelial (TEM) das DCs. Para isso, foram usadas DCs geradas a partir da diferenciação de monócitos (mo-DCS), obtidos quer pelo métodos de separação imuno-magnética de células CD14+ (CD14-S) ou por isolamento por aderência ao plástico (PA-S). Os resultados obtidos indicam que as glicoformas de ligação à Eselectina de PSGL-1, CD43 e CD44 são expressas pelas CD14-S mo-DCs, enquanto que as PA-S mo-DCs expressam apenas CLA. É importante notar que a ligação do CD44 nas mo-DCs, mas não nas PA-S mo-DCs, desencadeia a ativação e consequente adesão da VLA-4 ao endotélio na ausência de um gradiente de quimiocinas. Procedeu-se também à análise dos ligandos E-selectina expressos em mo-DCs geradas a partir de monócitos do sangue do cordão umbilical (UCB) e, inesperadamente, as UCB mo-DCs não expressam qualquer glicoproteína com reatividade à E-selectina. Além disso, a exofucosilação das mo- DCs humanas utilizando uma α(1,3)-fucosiltransferase aumenta significativamente a expressão de HCELL e, portanto, estas células apresentam uma capacidade aumentada para se ligarem à E-selectina em condições de fluxo hemodinâmico. Estes resultados destacam o papel do HCELL no desencadeamento do TEM das CD14-S mo-DCs e sugerem que estratégias para potenciar a expressão de HCELL poderão impulsionar o recrutamento de mo-DCs para locais de inflamação. 3) Outro obstáculo para alcançar o sucesso promissor de vacinas baseadas em DCs é o estabelecimento de abordagens eficientes que poderão melhorar o estado de maturação e apresentação antigénica das DCs. Por conseguinte, foram investigadas abordagens alternativas que podem superar este obstáculo. Através da remoção de ácido siálico de superfície celular das DCs, conseguiu-se induzir a maturação de DC humanas e de ratinhos. Notavelmente, tanto as DCs humanas como as de ratinho, ao serem desialiladas mostraram uma capacidade aumentada para induzir a proliferação de células T, para secretar citocinas Th1 e para induzir a morte específica de células tumorais. Em adição, as DCs desialiladas apresentam uma maior capacidade de apresentação cruzada de antigénios tumorais às células T citotóxicas. Colectivamente, o presente estudo oferece uma visão chave para optimizar a capacidade das DCs em induzir respostas imunitárias anti-tumorais, e indica que o tratamento com sialidase é uma nova tecnologia para melhorar a eficácia e aplicabilidade das vacinas baseadas em DCs. Coletivamente, os nossos resultados demostram como a glicosilação e a sua manipulação podem modular a imunidade. Concretamente, através de uma reação de exofucosilação conseguimos aumentar fortemente a capacidade de os leucócitos extravasarem para os tecidos afectados, enquanto que a remoção dos níveis de ácido siálico da superfície celular das DCs, induz potentes respostas anti-tumorais mediadas por células T citotóxicas. ---------------------------- ABSTRACT: Glycosylation is the most widely form of protein post-translational modification and is involved in many physiological and pathological processes. Specifically, certain patterns of glycosylation are associated with determined stages of cell differentiation and can modulate processes like cell-signaling and migration and host-pathogen interactions. As such, glycosylation plays a crucial role in the modulation of several immune events. However, how glycans execute this immune-modulation and, therefore, influence immunity is still poorly unknown. Specifically, some terminal sialic acid-modified determinants are known to be involved in several physiological immune processes, including leukocyte trafficking into sites of inflammation and cell immune activation. Therefore, in this work, we sought to investigate more deeply how the expression of these glycosidic structures affects events form both innate and adaptive immune responses. To this end, we divided our work into three main parts: 1) Immunity critically depends on the ability of sentinel circulating cells to infiltrate injured sites, of which leukocyte binding to endothelial E-selectin is the critical first step. Thus, we first analyzed the structure and function of the E-selectin ligands expressed on native human peripheral blood mononuclear cells (PBMCs), providing novel insights into the molecular effectors governing adhesion of circulating monocytes, and of circulating CD4+T, CD8+T and B cells, to vascular endothelium under hemodynamic shear conditions. Strikingly, monocytes show a higher ability to tether and roll on endothelial cells than lymphocyte subsets. This is due to the fact that human circulating monocytes uniformly display a wide repertoire of E-selectin binding glycoproteins, namely the E-selectin-binding glycoforms of CD43 (CD43E) and CD44 (HCELL), in addition to the previously described E-selectin-binding glycoform of PSGL-1 (CLA). In addition, we also observed a differential ability of the different lymphocyte subsets to bind to Eselectin under hemodynamic shear stress conditions, and these differences were highly correlated with their individual expression of E-selectin binding glycoproteins. While CD4+T cells show a robust E-selectin binding ability, CD8+T and B cells show little to no E-selectin reactivity. CD4+T cell potent Eselectin rolling activity is conferred by HCELL expression, in addition to the previously reported E-selectin-binding glycoproteins CD43E and CLA. CD8+T cells display no HCELL and low amounts of CLA and CD43E, whereas B cells lack E-selectin ligand expression. Moreover, enforced exofucosylation of cell surface of these cells noticeably increases expression of functional E-selectin ligands among all leukocytes subsets, with cell type-dependent specificity in the protein scaffolds that are modified. Taken together, these findings redefine our understanding of the molecular mechanisms governing the trafficking patterns of PBMCs that are relevant in the context of acute or chronic inflammatory conditions. 2) The ability of circulating dendritic cells (DCs) to extravasate at inflammatory sites is critical to the success of DC-based therapies. Therefore, we assessed the structure and function of adhesion molecules mediating the transendothelial migration (TEM) of human monocyte derived-DCs (mo-DCs), obtained either by CD14 positive immune-magnetic selection (CD14-S) or by plastic adherence of blood monocytes (PA-S). We report for the first time that the E-selectin binding glycoforms of PSGL-1, CD43 and CD44 are all expressed on CD14-S mo-DCs, in contrast to PA-S mo-DCs that express only CLA. Importantly, CD44 engagement on CD14-S mo-DCs, but not on PA-S mo-DCs, triggers VLA-4-dependent adhesiveness and programs TEM in absence of chemokine gradient. We also analyzed the E-selectin ligands expressed on mo-DCs generated from umbilical cord blood (UCB) monocytes, and unexpectedly, UCB mo-DCs do not express any glycoprotein with E-selectin reactivity. Furthermore, exoglycosylation of human mo-DCs using an α(1,3)-fucosyltransferase significantly increases expression of HCELL, and therefore exofucosylated mo-DCs exhibit an augmented ability to bind to E-selectin under hemodynamic shear stress conditions. These findings highlight a role for HCELL engagement in priming TEM of CD14-S mo-DCs, and suggest that strategies to enforce HCELL expression could boost mo-DC recruitment to inflammatory sites.3) Another obstacle to achieve the promising success of DC-based vaccines is the establishment of efficient approaches that could successfully enhance maturation and cross-presentation ability of DCs. Therefore, we investigated an alternative approach that can overcome this problem. Through removal of sialic acid content from DC cell surface we are able to elicit maturation of both human and mouse DCs. Notably, desialylated human and murine DCs showed enhanced ability to induce autologous T cell to proliferate, to secrete Th1 cytokines and to kill tumor cells. Moreover, desialylated DCs display enhanced cross-presentation of tumor antigens to cytotoxic CD8+ T cells. Collectively, this study offers key insight to optimize the ability of DCs to boost anti-tumor immune responses, and indicates that the treatment with an exogenous sialidase is a powerful new technology to improve the efficacy and applicability of DC-based vaccines. Overall, our findings show how glycosylation and its manipulation can modulate immunity. Concretely, through an exofucosylation reaction we are able to greatly augment the ability of leukocytes to extravasate into injured tissues, while removal of sialic acid moieties from cell surface of DCs, significantly potentiate their ability to induce anti-tumor cytotoxic T cell-mediate responses.

Restriction site-associated DNA sequencing, genotyping error estimation and de novo assembly optimization for population genetic inference.

Restriction site-associated DNA sequencing (RADseq) provides researchers with the ability to record genetic polymorphism across thousands of loci for nonmodel organisms, potentially revolutionizing the field of molecular ecology. However, as with other genotyping methods, RADseq is prone to a number of sources of error that may have consequential effects for population genetic inferences, and these have received only limited attention in terms of the estimation and reporting of genotyping error rates. Here we use individual sample replicates, under the expectation of identical genotypes, to quantify genotyping error in the absence of a reference genome. We then use sample replicates to (i) optimize de novo assembly parameters within the program Stacks, by minimizing error and maximizing the retrieval of informative loci; and (ii) quantify error rates for loci, alleles and single-nucleotide polymorphisms. As an empirical example, we use a double-digest RAD data set of a nonmodel plant species, Berberis alpina, collected from high-altitude mountains in Mexico.

Benchmarking therapeutic drug monitoring software: A review of available computer tools

Therapeutic drug monitoring (TDM) aims to optimize treatments by individualizing dosage regimens based on the measurement of blood concentrations. Dosage individualization to maintain concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculations currently represent the gold standard TDM approach but require computation assistance. In recent decades computer programs have been developed to assist clinicians in this assignment. The aim of this survey was to assess and compare computer tools designed to support TDM clinical activities. The literature and the Internet were searched to identify software. All programs were tested on personal computers. Each program was scored against a standardized grid covering pharmacokinetic relevance, user friendliness, computing aspects, interfacing and storage. A weighting factor was applied to each criterion of the grid to account for its relative importance. To assess the robustness of the software, six representative clinical vignettes were processed through each of them. Altogether, 12 software tools were identified, tested and ranked, representing a comprehensive review of the available software. Numbers of drugs handled by the software vary widely (from two to 180), and eight programs offer users the possibility of adding new drug models based on population pharmacokinetic analyses. Bayesian computation to predict dosage adaptation from blood concentration (a posteriori adjustment) is performed by ten tools, while nine are also able to propose a priori dosage regimens, based only on individual patient covariates such as age, sex and bodyweight. Among those applying Bayesian calculation, MM-USC*PACK© uses the non-parametric approach. The top two programs emerging from this benchmark were MwPharm© and TCIWorks. Most other programs evaluated had good potential while being less sophisticated or less user friendly. Programs vary in complexity and might not fit all healthcare settings. Each software tool must therefore be regarded with respect to the individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Computer-assisted TDM is gaining growing interest and should further improve, especially in terms of information system interfacing, user friendliness, data storage capability and report generation.

Streamlining the medication process improves safety in the intensive care unit.

BACKGROUND: Multiple interventions were made to optimize the medication process in our intensive care unit (ICU). 1 Transcriptions from the medical order form to the administration plan were eliminated by merging both into a single document; 2 the new form was built in a logical sequence and was highly structured to promote completeness and standardization of information; 3 frequently used drug names, approved units, and fixed routes were pre-printed; 4 physicians and nurses were trained with regard to the correct use of the new form. This study was aimed at evaluating the impact of these interventions on clinically significant types of medication errors. METHODS: Eight types of medication errors were measured by a prospective chart review before and after the interventions in the ICU of a public tertiary care hospital. We used an interrupted time-series design to control the secular trends. RESULTS: Over 85 days, 9298 lines of drug prescription and/or administration to 294 patients, corresponding to 754 patient-days were collected and analysed for the three series before and three series following the intervention. Global error rate decreased from 4.95 to 2.14% (-56.8%, P < 0.001). CONCLUSIONS: The safety of the medication process in our ICU was improved by simple and inexpensive interventions. In addition to the optimization of the prescription writing process, the documentation of intravenous preparation, and the scheduling of administration, the elimination of the transcription in combination with the training of users contributed to reducing errors and carried an interesting potential to increase safety.

Pescadores y aves marinas compitiendo por el mismo recurso: estrategias de forrajeo, interacciones y consecuencias

Con el examen conjunto de datos de seguimiento satelital de la flota pesquera y de marcaje electrónico de aves marinas, se analizan las interacciones entre la actividad pesquera y el forrajeo de las aves en periodo de reproducción. Se evidencia que las aves pueden mitigar la competencia con la pesca hasta cierto punto, forrajeando más lejos o quedándose más tiempo en el mar. Sin embargo, las aves en reproducción enfrentan a la vez un alto requerimiento energético para alimentar los pichones, y viajes de forrajeo limitados en distancia y tiempo por la necesidad de atender el nido. Para optimizar el éxito reproductivo de las aves marinas se recomienda: (1) Estimar, con la ayuda de modelos ecotróficos, qué cantidad de anchoveta sería conveniente ‘reservar’ para la alimentación de las aves; (2) Establecer zonas temporalmente cerradas a la pesca, alrededor de las principales colonias en los meses de reproducción de las aves. Los rangos máximos de forrajeo observados en guanayes y piqueros sugieren un radio de 50 a 100 km alrededor de las colonias, lo cual permitiría asegurar el forrajeo de estas especies en periodo de reproducción y así favorecer la sostenibilidad de sus poblaciones.

Phytochrome Kinase Substrate 4 is phosphorylated by the phototropin 1 photoreceptor.

Phototropism allows plants to redirect their growth towards the light to optimize photosynthesis under reduced light conditions. Phototropin 1 (phot1) is the primary low blue light-sensing receptor triggering phototropism in Arabidopsis. Light-induced autophosphorylation of phot1, an AGC-class protein kinase, constitutes an essential step for phototropism. However, apart from the receptor itself, substrates of phot1 kinase activity are less clearly established. Phototropism is also influenced by the cryptochromes and phytochromes photoreceptors that do not provide directional information but influence the process through incompletely characterized mechanisms. Here, we show that Phytochrome Kinase Substrate 4 (PKS4), a known element of phot1 signalling, is a substrate of phot1 kinase activity in vitro that is phosphorylated in a phot1-dependent manner in vivo. PKS4 phosphorylation is transient and regulated by a type 2-protein phosphatase. Moreover, phytochromes repress the accumulation of the light-induced phosphorylated form of PKS4 showing a convergence of photoreceptor activity on this signalling element. Our physiological analyses suggest that PKS4 phosphorylation is not essential for phototropism but is part of a negative feedback mechanism.