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Sharpening the Educational Toolset - Promoting Professional Development of University Lecturers
(2016)
WiFi-based Long Distance (WiLD) networks have emerged as a promising alternative approach for Internet in rural areas. However, the MAC layer, which is based on the IEEE802.11 standard, comprises contiguous stations in a cell and is spatially restricted to a few hundred meters at most. In this work, we summarize efforts by different researchers to use IEEE802.11 over long-distances. In addition, we introduce WiLDToken, our solution to optimizing the throughput and fairness and reducing the delay on WiLD links. Compared to previous alternative MAC layers protocols for WiLD, our focus is on optimizing a single link in a multi-radio multi-channel mesh. We implement our protocol in the ns-3 network simulator and show thatWiLDToken is superior to an adapted version of the Distributed Coordination Function (DCF) for different link distances. We find that the throughput on a single link is close to the physical data-rate without a major decrease over longer distances.
WiFi-based Long Distance (WiLD) networks have emerged as a promising alternative technology approach for providing Internet in rural areas. An important factor in network planning of these wireless networks is estimating the path loss. In this work, we present various propagation models we found suitable for point-to-point (P2P) operation in the WiFi frequency bands. We conducted outdoor experiments with commercial offthe- shelf (COTS) hardware in our testbed made of 7 different long-distance links ranging from 450 m to 10.3 km and a mobile measurement station. We found that for short links with omni-directional antennas ground-reflection is a measurable phenomenon. For longer links, we show that either FSPL or the Longley-Rice model provides accurate results for certain links. We conclude that a good site survey is needed to exclude influences not included in the propagation models.
Nachhaltiges Innovationsmanagement in KMU: Eine empirische Untersuchung zu Living Labs as a Service
(2016)
Die neue europäische Umweltstrategie der Integrierten Produktpolitik fordert von produzierenden kleinen und mittleren Unternehmen (KMU) eine eigenverantwortliche und produktbezogene Nachhaltigkeitsstrategie. Obgleich die Gestaltung von IKT-Services in nachhaltigkeitsrelevanten Bereichen ein großes Marktpotential verspricht, birgt das Innovationsmanagement für KMU einige Risiken. Um diese Herausforderungen zu adressieren motiviert diese Arbeit Living Labs, als Innovationsinfrastruktur, um den spezifischen Bedarfen von KMU für ein nachhaltiges Innovationsmanagement gerecht zu werden. Auf der Basis von 15 semi-strukturierten Interviews mit 7 KMU, die IKT-Lösungen in den Bereichen Wohnen und Mobilität entwickeln, wurden Herausforderungen sowie etablierte Strategien für ein nachhaltiges Innovationsmanagement erhoben sowie Potenziale und mögliche Risiken von Living Labs exploriert. Die Studie zeigt KMU spezifische Bedarfe auf, die eine Anpassung des Living Lab Ansatzes als Service-Dienstleistungen erforderlich machen.
The analysis of Δ9-tetrahydrocannabinol (THC) and its metabolites 11-hydroxy-Δ9-tetrahydrocannabinol (11-OH-THC), and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH) from blood serum is a routine task in forensic toxicology laboratories. For examination of consumption habits, the concentration of the phase I metabolite THC-COOH is used. Recommendations for interpretation of analysis values in medical-psychological assessments (regranting of driver’s licenses, Germany) include threshold values for the free, unconjugated THC-COOH. Using a fully automated two-step liquid-liquid extraction, THC, 11-OH-THC, and free, unconjugated THC-COOH were extracted from blood serum, silylated with N-methyl-N-(trimethylsilyl) trifluoroacetamide (MSTFA), and analyzed by GC/MS. The automation was carried out by an x-y-z sample robot equipped with modules for shaking, centrifugation, and solvent evaporation. This method was based on a previously developed manual sample preparation method. Validation guidelines of the Society of Toxicological and Forensic Chemistry (GTFCh) were fulfilled for both methods, at which the focus of this article is the automated one. Limits of detection and quantification for THC were 0.3 and 0.6 μg/L, for 11-OH-THC were 0.1 and 0.8 μg/L, and for THC-COOH were 0.3 and 1.1 μg/L, when extracting only 0.5 mL of blood serum. Therefore, the required limit of quantification for THC of 1 μg/L in driving under the influence of cannabis cases in Germany (and other countries) can be reached and the method can be employed in that context. Real and external control samples were analyzed, and a round robin test was passed successfully. To date, the method is employed in the Institute of Legal Medicine in Giessen, Germany, in daily routine. Automation helps in avoiding errors during sample preparation and reduces the workload of the laboratory personnel. Due to its flexibility, the analysis system can be employed for other liquid-liquid extractions as well. To the best of our knowledge, this is the first publication on a comprehensively automated classical liquid-liquid extraction workflow in the field of forensic toxicological analysis.
Die Ergebnisqualität medizinischer Rehabilitationsleistungen wird häufig über „Patient Reported Outcomes“ (PROs) gemessen. Die Bedeutung von PROs für die Nutzenbeurteilung von therapeutischen Interventionen wird häufig unterschätzt (Brettschneider et al., 2011; Calvert et al., 2013). Es wird untersucht, inwieweit sich PROs in „harten“ Endpunkten wie z. B. Beitragszahlungen der Versicherten in die Sozialversicherung widerspiegeln.
In der Ergebnisdarstellung der Reha-QM-Outcome Studie der DRV Baden-Württemberg und des Qualitätsverbunds Gesundheit konnte gezeigt werden, dass Kliniken eines Verbundes, die ein gemeinsames, auf aktivem Benchmarking und Von-Einander-Lernen gegründetes Qualitätsmanagement (Basis QMS Reha®) anwenden, ein Jahr nach der Reha etwas bessere Ergebnisse in relevanten Outcome-Parametern (u. a. subjektiver Reha-Nutzen, geleistete Rentenversicherungsbeiträge) erzielen als der Durchschnitt der Kliniken (Toepler et al., 2015). Der vorliegende Beitrag stellt die verbundinterne Analyse der Studienergebnisse dar und geht der Frage nach, welche QM-Elemente einen positiven Einfluss auf die Outcome-Parameter ausüben.
Neben der Verbesserung des Gesundheitszustandes sind der Erhalt der Beschäftigungsfähigkeit und die berufliche (Wieder-)Eingliederung zentrale Ziele der Rehabilitationsleistungen der Deutschen Rentenversicherung. In der „Reha-QM-Outcome-Studie“ wurden sowohl mittels Patientenfragebogen Angaben zum subjektiven Nutzen der Behandlung als auch mittels Routinedaten der Rentenversicherung Angaben zum Erwerbsstatus erhoben, so dass eine Gegenüberstellung beider Zieldimensionen erfolgen kann.
Return to Work (RTW) stellt ein wesentliches Outcomekriterium für die Abbildung der Effektivität medizinischer Rehabilitationsmaßnahmen dar. Dabei hängt die Höhe der RTW-Quote u. a. von Messmethode, Messzeitpunkt und Stichprobe ab (Streibelt, Egner, 2012). RTW wird häufig mit dem bloßen Status der Erwerbstätigkeit oder Arbeitsfähigkeit gleichgesetzt, wobei kritisiert werden kann, dass dabei der Aspekt einer dauerhaften beruflichen Wiedereingliederung zu wenig Berücksichtigung findet.
Der Weltklimavertrag versucht, sowohl auf das Umsteuern bei klimaschädlichem Wirtschaften in den Industrieländern (und einigen Schwellenländern) als auch auf das Vermeiden von klimaschädlicher Ausgestaltung des Wirtschaftens in den Schwellen- und Entwicklungsländern eine Antwort zu geben. Doch noch ist diese Antwort zu abstrakt.
We examined the cytotoxic effects of chaetocin on clear cell renal cell carcinoma (ccRCC) cells and the possibility to combine the effects of chaetocin with the effects of cytokine-induced killer cells (CIK) assayed by MTT assay and FACS analysis. Chaetocin is a thiodioxopiperazine produced by fungi belonging to the chaetomiaceae family. In 2007, it was first reported that chaetocin shows potent and selective ex vivo anti-cancer activity by inducing reactive oxygen species. CIK cells are generated from CD3+/CD56- T lymphocytes with double negative CD4-/CD8- phenotype that are isolated from human blood. The addition of distinct interleukins and antibodies results in the generation of CIK cells that are able to specifically target and destroy renal carcinoma cells. The results of this research state that the anti-ccRCC activity of chaetocin is weak and does not show a high grade of selectivity on clear cell renal cell carcinoma cells. Although the CIK cells show a high grade of selective anti-ccRCC activity, this effect could not be improved by the addition of chaetocin. So chaetocin seems to be no suitable agent for specific targeting ccRCC cells or for the combination therapy with CIK cells in renal cancer.
The SpMV operation -- the multiplication of a sparse matrix with a dense vector -- is used in many simulations in natural and engineering sciences as a computational kernel. This kernel is quite performance critical as it is used, e.g.,~in a linear solver many times in a simulation run. Such performance critical kernels of a program may be optimized on certain levels, ranging from using a rather coarse grained and comfortable single compiler optimization switch down to utilizing architecural features by explicitly using special instructions on an assembler level. This paper discusses a selection of such program optimization techniques in this spectrum applied to the SpMV operation. The achievable performance gain as well as the additional programming effort are discussed. It is shown that low effort optimizations can improve the performance of the SpMV operation compared to a basic implementation. But further than that, more complex low level optimizations have a higher impact on the performance, although changing the original program and the readability / maintainability of a program significantly.
The Eighth International Conference on Future Computational Technologies and Applications (FUTURE COMPUTING 2016), held between March 20-24, 2016 in Rome, Italy, continued a series of events targeting advanced computational paradigms and their applications. The target was to cover (i) the advanced research on computational techniques that apply the newest human-like decisions, and (ii) applications on various domains. The new development led to special computational facets on mechanism-oriented computing, large-scale computing and technology-oriented computing. They are largely expected to play an important role in cloud systems, on-demand services, autonomic systems, and pervasive applications and services.