A conceptual model to approach the scaling process of social entreprises: The case of Cozinha com Alma

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

A+ grandparents at school

Facing an aging society, where there is a large gap between generations and where the elderly are neglected, the Portuguese Red Cross – Delegation of Vila Nova de Gaia – created the project A+: grandparents at school, which encourages intergenerational work. After observing the positive results of the pilot project, the A+ team decided that the project has the potential to be scaled at a national level to enable it to contribute to the integration of the older people in the society, as well as for positive changes of individuals with regard to the elderly. This work project proposes a method to determine whether A+ can be scaled and what is the most efficient way to do it, establishing a process of scale that can be used by every non-profit organization

Whole-cell bioprocessing of human fetal cells for tissue engineering of skin.

Current restrictions for human cell-based therapies have been related to technological limitations with regards to cellular proliferation capacity (simple culture conditions), maintenance of differentiated phenotype for primary human cell culture and transmission of communicable diseases. Cultured primary fetal cells from one organ donation could possibly meet the exigent and stringent technical aspects for development of therapeutic products. Master and working cell banks from one fetal organ donation (skin) can be developed in short periods of time and safety tests can be performed at all stages of cell banking. For therapeutic use, fetal cells can be used up to two thirds of their life-span in an out-scaling process and consistency for several biological properties includes protein concentration, gene expression and biological activity. As it is the intention that banked primary fetal cells can profit from the prospected treatment of hundreds of thousands of patients with only one organ donation, it is imperative to show consistency, tracability and safety of the process including donor tissue selection, cell banking, cell testing and growth of cells in out-scaling for the preparation of whole-cell tissue-engineering products.

Physical models for numerical simulation of Si-based nanoscale FETs and sensors

To continuously improve the performance of metal-oxide-semiconductor field-effect-transistors (MOSFETs), innovative device architectures, gate stack engineering and mobility enhancement techniques are under investigation. In this framework, new physics-based models for Technology Computer-Aided-Design (TCAD) simulation tools are needed to accurately predict the performance of upcoming nanoscale devices and to provide guidelines for their optimization. In this thesis, advanced physically-based mobility models for ultrathin body (UTB) devices with either planar or vertical architectures such as single-gate silicon-on-insulator (SOI) field-effect transistors (FETs), double-gate FETs, FinFETs and silicon nanowire FETs, integrating strain technology and high-κ gate stacks are presented. The effective mobility of the two-dimensional electron/hole gas in a UTB FETs channel is calculated taking into account its tensorial nature and the quantization effects. All the scattering events relevant for thin silicon films and for high-κ dielectrics and metal gates have been addressed and modeled for UTB FETs on differently oriented substrates. The effects of mechanical stress on (100) and (110) silicon band structures have been modeled for a generic stress configuration. Performance will also derive from heterogeneity, coming from the increasing diversity of functions integrated on complementary metal-oxide-semiconductor (CMOS) platforms. For example, new architectural concepts are of interest not only to extend the FET scaling process, but also to develop innovative sensor applications. Benefiting from properties like large surface-to-volume ratio and extreme sensitivity to surface modifications, silicon-nanowire-based sensors are gaining special attention in research. In this thesis, a comprehensive analysis of the physical effects playing a role in the detection of gas molecules is carried out by TCAD simulations combined with interface characterization techniques. The complex interaction of charge transport in silicon nanowires of different dimensions with interface trap states and remote charges is addressed to correctly reproduce experimental results of recently fabricated gas nanosensors.

Synthese und Charakterisierung von Polymethylmethacrylat (PMMA)-Silika-Komposit-Partikeln und fluorierten Nanopartikeln unter Verwendung des Miniemulsionsprozesses

In der vorliegenden Dissertation wurden zwei verschiedene Fragestellungen bearbeitet. Zum einen wurde im Rahmen des Schwerpunktprojektes „Kolloidverfahrenstechnik“ und in Zusammenarbeit mit der Arbeitsgruppe von Prof. Dr. Heike Schuchmann vom KIT in Karlsruhe die Verkapselung von Silika-Nanopartikeln in eine PMMA-Hülle durch Miniemulsionspolymerisation entwickelt und der Aufskalierungsprozess unter Verwendung von Hochdruckhomogenisatoren vorangetrieben. Zum anderen wurden verschiedene fluorierte Nanopartikel durch den Miniemulsionsprozess generiert und ihr Verhalten in Zellen untersucht.rnSilika-Partikel konnten durch Miniemulsionspolymerisation in zwei unterschiedlichen Prozessen erfolgreich verkapselt werden. Bei der ersten Methode wurden zunächst modifizierte Silika-Partikel in einer MMA-Monomerphase dispergiert und anschließend durch den normalen Miniemulsionsprozess Silika-beladene Tröpfchen generiert. Diese konnten zu Komposit-Partikeln polymerisiert werden. Bei der Verkapselung durch den Fission/Fusion Prozess wurden die hydrophobisierten Silika-Partikel durch Fission und Fusion Prozesse in schon vorhandene Monomertröpfchen eingebracht, welche hinterher polymerisiert wurden. Um hydrophiles Silika in einem hydrophoben Monomer zu dispergieren, musste zunächst eine Modifizierung der Silika-Partikel stattfinden. Dies geschah unter anderem über eine chemische Anbindung von 3-Methacryloxypropyltri-methoxysilan an der Oberfläche der Silika-Partikel. Des Weiteren wurden die hydrophilen Silika-Partikel durch Adsorption von CTMA-Cl physikalisch modifiziert. Unter anderem durch die Variation des Verkapselungsprozesses, der Silika-Menge, der Tensidart und –menge und der Comonomere konnten Komposit-Partikel mit unterschiedlichen Morphologien, Größen, und Füllgraden erhalten werden.rnFluorierte Nanopartikel wurden erfolgreich über den Prozess der Miniemulsionspolymerisation synthetisiert. Als Monomere dienten dabei fluorierte Acrylate, fluorierte Methacrylate und fluoriertes Styrol. Es war möglich aus jeder dieser drei Gruppen an Monomeren fluorierte Nanopartikel herzustellen. Für genauere Untersuchungen wurden 2,3,4,5,6-Pentafluorstyrol, 3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,10-Heptadecafluorodecyl-methacrylat und 1H,1H,2H,2H-Perfluorodecylacrylat als Monomere ausgewählt. Als Hydrophob zur Unterdrückung der Ostwaldreifung wurde Perfluromethyldecalin eingesetzt. Die stabilsten Miniemulsionen wurden wiederum mit den ionischen Tensid SDS generiert. Mit steigendem Gehalt an SDS gelöst in der kontinuierlichen Phase, wurde eine Verkleinerung der Partikelgröße festgestellt. Neben den Homopolymerpartikeln wurden auch Copolymerpartikel mit Acrylsäure erfolgreich synthetisiert. Zudem wurde noch das Verhalten der fluorierten Partikel in Zellen überprüft. Die fluorierten Partikel wiesen ein nicht toxisches Verhalten vor. Die Adsorption von Proteinen aus Humanem Serum wurde über ITC Messungen untersucht. rnSomit konnte gezeigt werden, dass die Technik der Miniemulsionspolymerisation eine abwechslungsreiche und effektive Methode ist, um Hybridnanopartikel mit verschiedenen Morphologien und oberflächenfunktionalisierte Nanopartikel erfolgreich zu generieren.rn

Entwicklung eines Thermodruckhydrolyse-Verfahrens zur Vorbehandlung von Weizenstroh ohne vorherige mechanische Zerkleinerung für die Produktion von Polyhydroxybuttersäure

In der vorliegenden Arbeit wurde der nachwachsende Rohstoff Weizenstroh für die Produktion des Biopolymers Polyhydroxybuttersäure genutzt. Als Lignocellulose enthält Weizenstroh einen hohen Anteil an Glucose und Xylose in Form von Cellulose und Hemicellulose. Eine Gewinnung ist aufgrund der komplexen Struktur mit Lignin als dritte Hauptkomponente nur durch eine Vorbehandlung möglich. Hierzu wurde ein thermochemisches Vorbehandlungsverfahren im halbtechnischen (125 l Reaktor) und technisch (425 l Reaktor) Maßstab mit verdünnter Salpetersäure (bis 1 % v/v) etabliert und hinsichtlich verschiedener Versuchsparameter (Behandlungstemperatur, Säure-Konzentration, etc.) optimiert. Auf eine mechanische Vorbehandlung wurde verzichtet. Danach erfolgte eine enzymatische Hydrolyse der vorbehandelten Biomasse. Der PHB-Produzent Cupriavidus necator DSM 545 wurde eingesetzt, um aus den freigesetzten Zuckern PHB zu synthetisieren. rnDurch die Optimierung der Vorbehandlung konnten bis zu 90 % der Glucose und 82 % der Xylose nach der enzymatischen Hydrolyse aus dem Stroh als Monomere und Oligomere freigesetzt werden. Außerdem wurde eine erfolgreiche Überführung des Vorbehandlungsprozesses in den 425 l Reaktor demonstriert. In den gewonnenen Zucker-Hydrolysaten konnten hohe Zelldichten und PHB-Gehalte mit bis zu 38 % erreicht werden. Eine vorherige kostenintensive Reinigung der Hydrolysate war nicht nötig. Zusätzlich konnte gezeigt werden, dass die Reststoffe nach der enzymatischen Hydrolyse, Zellkultur und PHB-Extraktion ausreichendes Potential für eine Biogas-Produktion besitzen. rn

Proving a market for a startup befor scaling using the hypothesis-driven entrepreneurship process

The year is 2015 and the startup and tech business ecosphere has never seen more activity. In New York City alone, the tech startup industry is on track to amass $8 billion dollars in total funding – the highest in 7 years (CB Insights, 2015). According to the Kauffman Index of Entrepreneurship (2015), this figure represents just 20% of the total funding in the United States. Thanks to platforms that link entrepreneurs with investors, there are simply more funding opportunities than ever, and funding can be initiated in a variety of ways (angel investors, venture capital firms, crowdfunding). And yet, in spite of all this, according to Forbes Magazine (2015), nine of ten startups will fail. Because of the unpredictable nature of the modern tech industry, it is difficult to pinpoint exactly why 90% of startups fail – but the general consensus amongst top tech executives is that “startups make products that no one wants” (Fortune, 2014). In 2011, author Eric Ries wrote a book called The Lean Startup in attempts to solve this all-too-familiar problem. It was in this book where he developed the framework for The Hypothesis-Driven Entrepreneurship Process, an iterative process that aims at proving a market before actually launching a product. Ries discusses concepts such as the Minimum Variable Product, the smallest set of activities necessary to disprove a hypothesis (or business model characteristic). Ries encourages acting briefly and often: if you are to fail, then fail fast. In today’s fast-moving economy, an entrepreneur cannot afford to waste his own time, nor his customer’s time. The purpose of this thesis is to conduct an in-depth of analysis of Hypothesis-Driven Entrepreneurship Process, in order to test market viability of a reallife startup idea, ShowMeAround. This analysis will follow the scientific Lean Startup approach; for the purpose of developing a functional business model and business plan. The objective is to conclude with an investment-ready startup idea, backed by rigorous entrepreneurial study.

The smear layer created by scaling and root planing is physiologically eliminated in a biphasic process

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Ecosystem process models at multiple scales for mapping tropical forest productivity

Quantifying mass and energy exchanges within tropical forests is essential for understanding their role in the global carbon budget and how they will respond to perturbations in climate. This study reviews ecosystem process models designed to predict the growth and productivity of temperate and tropical forest ecosystems. Temperate forest models were included because of the minimal number of tropical forest models. The review provides a multiscale assessment enabling potential users to select a model suited to the scale and type of information they require in tropical forests. Process models are reviewed in relation to their input and output parameters, minimum spatial and temporal units of operation, maximum spatial extent and time period of application for each organization level of modelling. Organizational levels included leaf-tree, plot-stand, regional and ecosystem levels, with model complexity decreasing as the time-step and spatial extent of model operation increases. All ecosystem models are simplified versions of reality and are typically aspatial. Remotely sensed data sets and derived products may be used to initialize, drive and validate ecosystem process models. At the simplest level, remotely sensed data are used to delimit location, extent and changes over time of vegetation communities. At a more advanced level, remotely sensed data products have been used to estimate key structural and biophysical properties associated with ecosystem processes in tropical and temperate forests. Combining ecological models and image data enables the development of carbon accounting systems that will contribute to understanding greenhouse gas budgets at biome and global scales.

Functional biogeography of oceanic islands and the scaling of functional diversity in the Azores

Analyses of species-diversity patterns of remote islands have been crucial to the development of biogeographic theory, yet little is known about corresponding patterns in functional traits on islands and how, for example, they may be affected by the introduction of exotic species. We collated trait data for spiders and beetles and used a functional diversity index (FRic) to test for nonrandomness in the contribution of endemic, other native (also combined as indigenous), and exotic species to functional-trait space across the nine islands of the Azores. In general, for both taxa and for each distributional category, functional diversity increases with species richness, which, in turn scales with island area. Null simulations support the hypothesis that each distributional group contributes to functional diversity in proportion to their species richness. Exotic spiders have added novel trait space to a greater degree than have exotic beetles, likely indicating greater impact of the reduction of immigration filters and/or differential historical losses of indigenous species. Analyses of species occurring in native-forest remnants provide limited indications of the operation of habitat filtering of exotics for three islands, but only for beetles. Although the general linear (not saturating) pattern of trait-space increase with richness of exotics suggests an ongoing process of functional enrichment and accommodation, further work is urgently needed to determine how estimates of extinction debt of indigenous species should be adjusted in the light of these findings.

Multidimensional scaling analysis of the dynamics of a country economy

This paper analyzes the Portuguese short-run business cycles over the last 150 years and presents the multidimensional scaling (MDS) for visualizing the results. The analytical and numerical assessment of this long-run perspective reveals periods with close connections between the macroeconomic variables related to government accounts equilibrium, balance of payments equilibrium, and economic growth. The MDS method is adopted for a quantitative statistical analysis. In this way, similarity clusters of several historical periods emerge in the MDS maps, namely, in identifying similarities and dissimilarities that identify periods of prosperity and crises, growth, and stagnation. Such features are major aspects of collective national achievement, to which can be associated the impact of international problems such as the World Wars, the Great Depression, or the current global financial crisis, as well as national events in the context of broad political blueprints for the Portuguese society in the rising globalization process.

Analysis of World Economic Variables Using Multidimensional Scaling

Waves of globalization reflect the historical technical progress and modern economic growth. The dynamics of this process are here approached using the multidimensional scaling (MDS) methodology to analyze the evolution of GDP per capita, international trade openness, life expectancy, and education tertiary enrollment in 14 countries. MDS provides the appropriate theoretical concepts and the exact mathematical tools to describe the joint evolution of these indicators of economic growth, globalization, welfare and human development of the world economy from 1977 up to 2012. The polarization dance of countries enlightens the convergence paths, potential warfare and present-day rivalries in the global geopolitical scene.

Impact of sensor nodes scaling and velocity on handover mechanisms for healthcare wireless sensor networks with mobility support

Health promotion in hospital environments can be improved using the most recent information and communication technologies. The Internet connectivity to small sensor nodes carried by patients allows remote access to their bio-signals. To promote these features the healthcare wireless sensor networks (HWSN) are used. In these networks mobility support is a key issue in order to keep patients under realtime monitoring even when they move around. To keep sensors connected to the network, they should change their access points of attachment when patients move to a new coverage area along an infirmary. This process, called handover, is responsible for continuous network connectivity to the sensors. This paper presents a detailed performance evaluation study considering three handover mechanisms for healthcare scenarios (Hand4MAC, RSSI-based, and Backbone-based). The study was performed by simulation using several scenarios with different number of sensors and different moving velocities of sensor nodes. The results show that Hand4MAC is the best solution to guarantee almost continuous connectivity to sensor nodes with less energy consumption.

Analysis of world economic variables using multidimensional scaling

Waves of globalization reflect the historical technical progress and modern economic growth. The dynamics of this process are here approached using the multidimensional scaling (MDS) methodology to analyze the evolution of GDP per capita, international trade openness, life expectancy, and education tertiary enrollment in 14 countries. MDS provides the appropriate theoretical concepts and the exact mathematical tools to describe the joint evolution of these indicators of economic growth, globalization, welfare and human development of the world economy from 1977 up to 2012. The polarization dance of countries enlightens the convergence paths, potential warfare and present-day rivalries in the global geopolitical scene.

Precision and scaling in morphogen gradient read-out.

Morphogen gradients infer cell fate as a function of cellular position. Experiments in Drosophila embryos have shown that the Bicoid (Bcd) gradient is precise and exhibits some degree of scaling. We present experimental results on the precision of Bcd target genes for embryos with a single, double or quadruple dose of bicoid demonstrating that precision is highest at mid-embryo and position dependent, rather than gene dependent. This confirms that the major contribution to precision is achieved already at the Bcd gradient formation. Modeling this dynamic process, we investigate precision for inter-embryo fluctuations in different parameters affecting gradient formation. Within our modeling framework, the observed precision can only be achieved by a transient Bcd profile. Studying different extensions of our modeling framework reveals that scaling is generally position dependent and decreases toward the posterior pole. Our measurements confirm this trend, indicating almost perfect scaling except for anterior most expression domains, which overcompensate fluctuations in embryo length.