SME Network Characteristics vs. Product Innovativeness: How to Achieve High Innovation Performance

Small‐ and medium‐sized enterprises (SMEs) must on the one hand innovate for company survival with the appropriate degree of product innovativeness, and on the other they need to collaborate and focus on core competences for efficiency matters. This research examines the relation of network characteristics and product innovativeness on innovation performance in SMEs. We tested hypotheses on the relationship between these three variables via data gathered from 60 SMEs, active in the medical devices sector. In this context we aim to offer consensus on the theoretical and empirical question of whether or not network characteristics and product innovativeness have a direct effect on innovation performance of SMEs. Results show no significant direct effect of product innovativeness on innovation performance. A positive interaction effect of multiple network characteristics on innovation performance was found, which confirms the significant importance of network configuration on innovation performance for SMEs. It indicates that, for SMEs in a highly regulated sector like the medical devices sector, the interaction of network characteristics is of crucial importance for high innovation performance. It is the combination of network characteristics that counts.     

Preference-based multi-objective evolutionary algorithms for power-aware application mapping on NoC platforms

Network-on-chip (NoC) are considered the next generation of communication infrastructure in embedded systems. In the platform-based design methodology, an application is implemented by a set of collaborative intellectual property (IP) blocks. The selection of the most suited set of IPs as well as their physical mapping onto the NoC infrastructure to implement efficiently the application at hand are two hard combinatorial problems that occur during the synthesis process of Noc-based embedded system implementation. In this paper, we propose an innovative preference-based multi-objective evolutionary methodology to perform the assignment and mapping stages. We use one of the well-known and efficient multi-objective evolutionary algorithms NSGA-II and microGA as a kernel. The optimization processes of assignment and mapping are both driven by the minimization of the required silicon area and imposed execution time of the application, considering that the decision maker’s preference is a pre-specified value of the overall power consumption of the implementation.     

Media coverage in times of political crisis: A text mining approach

At the year end of 2011 Belgium formed a government, after a world record breaking period of 541 days of negotiations. We have gathered and analysed 68,000 related on-line news articles published in 2011 in Flemish newspapers. These articles were analysed by a custom-built expert system. The results of our text mining analyses show interesting differences in media coverage and votes for several political parties and politicians. With opinion mining, we are able to automatically detect the sentiment of each article, thereby allowing to visualise how the tone of reporting evolved throughout the year, on a party, politician and newspaper level. Our suggested framework introduces a generic text mining approach to analyse media coverage on political issues, including a set of methodological guidelines, evaluation metrics, as well as open source opinion mining tools. Since all analyses are based on automated text mining algorithms, an objective overview of the manner of reporting is provided. The analysis shows peaks of positive and negative sentiments during key moments in the negotiation process.     

Machine learning for vessel trajectories using compression,alignments and domain knowledge

In this paper we present a machine learning framework to analyze moving object trajectories from maritime vessels. Within this framework we perform the tasks of clustering, classification and outlier detection with vessel trajectory data. First, we apply a piecewise linear segmentation method to the trajectories to compress them. We adapt an existing technique to better retain stop and move information and show the better performance of our method with experimental results. Second, we use a similarity based approach to perform the clustering, classification and outlier detection tasks using kernel methods. We present experiments that investigate different alignment kernels and the effect of piecewise linear segmentation in the three different tasks. The experimental results show that compression does not negatively impact task performance and greatly reduces computation time for the alignment kernels. Finally, the alignment kernels allow for easy integration of geographical domain knowledge. In experiments we show that this added domain knowledge enhances performance in the clustering and classification tasks.     

Trennung von Muskelprotein, Kollagen und Elastin durch fraktionierte Extraktion mit Na-dodecylsulfat(SDS)-L?sungen

Zusammenfassung Die fraktionierte Extraktion mit Na-dodecylsulfat(SDS)-Lösungen ermöglicht die Trennung von Muskel- und Bindegewebs-Protein. In einem zweiten Schritt kann auch Kollagen von Elastin getrennt werden. Muskelprotein löst sich unter Schütteln bei Zimmertemperatur in einer SDS(2%)-ME(1%)-Lösung in einem Boratpuffer pH 9. Zur Lösung des Kollagens sind 100°C, intensives Rühren und eine SDS(8%)-ME(1%)-Lösung in einem Citratpuffer pH 5 notwendig. Das Verfahren wurde an nativem und hitzedenaturiertem Material angewendet. Die Möglichkeit zur Bestimmung des BEFFE-Wertes in Brühwürsten mit dieser Methode wird untersucht und die Anwendung auf andere Fleischprodukte diskutiert.

---

Fractionation of muscle protein, collagen and elastin by extraction with buffers containing dodecylsulfat (SDS)

Summary Dodecylsulfate (SDS) containing buffers were used for stepwise extraction of proteins from muscle and connective tissue. The first step was done at room temperature with borate buffer pH 9 and the muscle proteins were extracted. The second treatment (citrate buffer pH 5 at 100°C) dissolved collagen and left elastin as residue. All extracts were analysed by electrophoresis to identify the proteins and evaluated by a biuret method insensitive to SDS and ME. This method was applied to native and heatdenatured proteins and to Brühwdrste. The possibility of applying this method to the determination of the BEFFE-content is discussed.

---

Benutzte Abkürzungen NPN Nichteiweißstickstoffverbindungen - ATM Acetontrockenmasse - BEFFE bindegewebseiweißfreies Fleischeiweiß - OH-Pro Hydroxyprolin - SDS Natrium(Sodium)-dodecylsulfat - ME 2-Mercapto-äthanol - Tris Tris-(hydroxymethyl)aminomethan - PAGE Polyacrylamid-Gelelektrophorese - Vk Variationskoeffizient - S Standardabweichung - Mittelwert Die Arbeit ist Teil der Dissertation von I. de WreedeWir danken der Deutschen Forschungsgemeinschaft für ihre finanzielle Unterstützung und Herrn Dr. H. H. Heinert, Leiter des Staatl. Veterinär-Untersuchungsamtes Braunschweig, der freundlicherweise die Brühwurstproben zur Verfügung gestellt hat     

Effects of breed and nutrition on the productive traits of beef cattle in South East Brazil: Part 2-Tissue distribution and carcase composition

This paper is the second in a series recording the effects of breed and nutrition on the productive traits of Nelore, Guzerá, Charolais and Canchim cattle in south-east Brazil. Significant treatment variations were recorded in carcase bone weights but differences in meat to bone ratios were not sufficiently marked to demonstrate that bone might grow at the expense of muscle when animals are maintained on particularly severe nutritional regimes. A simple carcase weight to length ratio was shown to be highly correlated with total bone proportion but not with yield of saleable meat. Recovery of total saleable meat was only marginally and not significantly affected by breed but was significantly affected by treatment. The increased levels of fatness in the carcases of the zebu and, in particular, all animals finished in feedlot, that affected the yield of saleable meat, was also thought to be responsible for the decreased recovery of first quality meat in these carcases. In general, tissue differences were more noticeable between treatments than between breeds and reflected the varying nutritional status of the animals pre-slaughter.     

Support and precursor effects on the preparation of new heterogenized Pt/Sn catalysts for the selective hydroformylation of 1-pentene

New heterogenized Pt/Sn catalysts selective for the hydroformylation of 1-pentene have been synthesized. The complex cis-[PtCl₂(PPh₃)₂] and the SnCl₂.2H₂O or SnC₂O₄ precursors have been anchored on silica-, magnesia- and alumina-carriers. X-ray photoelectron spectroscopy was used to determine the surface composition and the nature of the anchored species. The hydroformylation activity was found to depend on the type of support and tin precursor used. Only the silica supported catalysts were active in the hydroformylation reaction. Samples prepared from SnCl₂-2H₂O were 200-fold more active than those prepared from SnC₂O₄. Selectivity ton-hexanal of the silica-supported catalyst prepared from SnCl₂-2H₂O was as high as 94.4% at 39.2% conversion of 1-pentene.     

Investigation of the chromate conversion coating on Alclad 2024 aluminium alloy: effect of the pH of the chromate bath

The parameters of the chromate bath, like temperature, pH, and fluoride content, strongly affect the morphology and chemical composition of the chromate conversion coating and as a consequence have a large influence on its corrosion performance. In this paper, electrochemical impedance spectroscopy (EIS) was used in combination with other techniques to investigate the role played by the pH of the chromate bath on the properties of the chromate film formed on Alclad 2024 aluminium alloy. Scanning electron microscopy (SEM), atomic force microscopy (AFM) and spectroscopic ellipsometry (SE) have shown the formation of a thicker and less dense chromate layer when the pH of the chromate bath is changed from 2.4 to 1.2. The analysis of the EIS spectra have highlighted that this change in pH leads to the formation of more protective and more resistant chromate corrosion products (CCP) inside the defects of the chromate film. When a thin, dense and protective layer of CCP is formed in the defects, the corrosion behaviour of the chromate conversion coating improves for two main reason: (a) further attack of the defects is avoided or delayed; (b) the change in volume caused by the formation of the CCP is limited resulting in a low level of stress in the film, which as a consequence is not detached from the aluminium substrate.     

Effect of high temperature annealing on texture and microstructure on an AISI-444 ferritic stainless steel

AISI 444 is a Mo-alloyed ferritic stainless steel which presents good naphthenic corrosion resistance, making it attractive for applications in petroleum refining plants; however, good formability is also important. To achieve good formability with this alloy the annealing process is crucial. The annealing temperature in ferritic stainless steel is usually around 850 °C, which falls in the range of sigma phase precipitation. A means to avoid this precipitation is to anneal at temperatures around 1000 °C followed by rapid cooling. Annealing at high temperatures can cause grain growth and carbide or nitride precipitation which can result in a reduction of room temperature toughness. In this paper, the rolling and recrystallization textures of AISI 444 steel were studied in samples cold rolled with different thickness reductions (30%, 60%, 80% and 90%) followed by annealing at 955, 980 and 1010 °C. Aspects of grain size and carbide precipitation after annealing were characterized using EBSD and AFM. The material drawability was analyzed through strain rate or Lankford (r) coefficients calculated from texture results.