Combining Spreadsheet Smells for Improved Fault Prediction

Spreadsheets are commonly used in organizations as a programming tool for business-related calculations and decision making. Since faults in spreadsheets can have severe business impacts, a number of approaches from general software engineering have been applied to spreadsheets in recent years, among them the concept of code smells. Smells can in particular be used for the task of fault prediction. An analysis of existing spreadsheet smells, however, revealed that the predictive power of individual smells can be limited. In this work we therefore propose a machine learning based approach which combines the predictions of individual smells by using an AdaBoost ensemble classifier. Experiments on two public datasets containing real-world spreadsheet faults show significant improvements in terms of fault prediction accuracy.Comment: 4 pages, 1 figure, to be published in 40th International Conference on Software Engineering: New Ideas and Emerging Results Trac

Strategien zur Regulierung des Steinbrandes - Teilprojekt A: Strategien zur Regulierung des Steinbrandes (Tilletia caries) und des Zwergsteinbrandes (T. controversa) unter besonderer Berücksichtigung der Resistenz

In Feldversuchen wurden 30 Winterweizensorten an fünf verschiedenen Standorten auf ihre natürliche Resistenz gegenüber Steinbrand/Zwergsteinbrand untersucht. Dabei zeigten die Sorten/Zuchtlinien Stava, Tambor, Magnifik, SW 51136, Tommi, Tarso, Tataros, Jakobi, Korund, Pegassos, Toronto und Cardos eine Resistenz/Teilresistenz gegenüber Tilletia caries und/oder T. controversa. Ein Einfluß der Sporenherkunft auf das Resistenzverhalten der Sorten schien in einigen Fällen gegeben zu sein. Parallel wurde ein System zur Frühdiagnose des Befalls mit Hilfe eines immunologischen Nachweises über ELISA standardisiert und an ausgewählten Weizensorten angewandt. Bei Untersuchungen des Vegetationspunktes im Stadium EC 20 konnte an je 45 Einzelpflanzen eine gute Übereinstimmung zwischen Pilzgehalt in der Pflanze und Resistenzgrad gefunden werden. Damit sind die bisherigen Ergebnisse zur immunologischen Charakterisierung der Resistenz erfolgversprechend. Die Eignung von Blattchlorosen zur Vorhersage des Steinbrandbefalls wurde an einem Feldstandort (Bad Vilbel) und unter kontrollierten Bedingungen bis zum Stadium EC 20 überprüft. Dabei zeigte sich, dass der Zusammenhang zwischen Blattsymptom und Ährensymptom sortenabhängig ist. Die Erfassung der Frühsymptome eignet sich damit nicht generell zur Charakterisierung der Resistenz. Für die Mittelprüfung ist diese Form der Frühdiagnose mit ausgewählten Sorten jedoch weiterhin empfehlenswert. Die Pilzentwicklung und Verteilung wurde in der wachsenden Pflanze an ausgewählten Sorten mit verschiedenen Verfahren beschrieben. Der quantitative Pilznachweis über den ELISA deutet auf einen Pilzgehalt von >5 ng/gFGml in der Ährenanlage (EC 31) als nötige Menge zur Induktion der Brandähre hin. Die Ergebnisse von Untersuchungen an ausgewählten Sorten mit verminderter Anfälligkeit lassen Resistenzmechanismen in verschiedenen Stadien vermuten

Dynamics of rural areas (DORA): National report - Germany

--

Dissolved organic matter properties in arctic coastal waters are strongly influenced by fluxes from permafrost coasts and by local meteorology.

Under future climate change scenarios, Arctic coastal waters are believed to receive higher terrestrial organic matter (OM) fluxes. Permafrost carbon is increasingly mobilized upon thaw from rivers draining permafrost terrain and from eroding permafrost coasts. Once received, the coastal waters are the transformation zone for terrestrial OM, although quantities, especially those of dissolved organic matter (DOM) released by coastal erosion, are largely unknown. This nearshore zone plays a crucial role in Arctic biogeochemical cycling, as here the released material is destined to be (1) mineralized into greenhouse gases, (2) incorporated into marine primary production, (3) buried in nearshore sediments or (4) transported offshore. In this presentation, we show data on DOM quantities in surface water in the nearshore zone of the southern Beaufort Sea from two consecutive summer seasons under different meteorological conditions. Colored dissolved organic matter (cDOM) properties help to differentiate the terrestrial from the marine DOM component. Figure 1 shows DOC concentrations and salinities for 23 and 24 days in the summer seasons of 2013 and 2014, respectively. DOC concentrations in the nearshore zone of the southern Beaufort Sea vary between about 1.5 and 5 mg C L-1. In the Lena River Delta, bay water, river water, and permafrost meltwater creeks yielded similar values between 5.8 and 5.9 mg C L-1 (Dubinenkov et al., 2015). Similarly, Fritz et al. (2015) found DOC concentrations in ice wedges between 1.6 and 28.6 mg C L-1. In 2013, the first half of July was characterized by low salinity between 8 and 15 psu and high DOC concentrations of 3.5 to 5 mg C L-1. Then, a sudden change in water properties occurred after a major storm which lasted for at least 2 days. This storm led to strongly decreased DOC (1.5 to 2.5 mg C L-1) concentration and increasing salinity (14 to 28 psu) in surface water, probably due to upwelling In 2014, a more stable situation in both salinity and DOC prevailed, with relatively high salinity (23 to 29 psu) and low DOC concentration (1.5 to 2.5 mg C L-1). This pattern was due to rather windy and wavy conditions throughout the whole season. The water column in 2014 was likely well-mixed and DOC-poor because saline waters have probably been transported from the offshore to the nearshore. We recognized a significant negative correlation between DOC and salinity, independent from varying meteorological conditions. In general, this suggests a conservative mixing between DOC derived from terrestrial/permafrost runoff and marine DOC. The low salinity in July 2013 was probably due to prolonged sea-ice presence in the sampled area. This leads to the assumption that DOC also originates from melting sea ice. Quantitatively more important will be terrestrial runoff which is relatively rich in DOC. A stable stratification in the nearshore zone and calm weather conditions will increase the influence of terrestrial-derived DOM. The strength of the terrestrial influence can be estimated by salinity measures as they directly correlate with DOC concentrations; the lower the salinity the stronger the terrestrial influence. We conclude that the terrestrial imprint of coastal erosion on DOM concentrations in the nearshore zone is significant. We see that DOC concentrations are significantly elevated also compared to riverine input in front of river mouths and deltas. Meteorological conditions play a major role for the strength of the terrestrial DOM signal, which can vary on short timescales. Our approach is different from ship-based oceanography because we study DOM that is directly derived from thawing permafrost coasts, explicitly excluding rivers. When qualifying DOM origin from permafrost landscapes apart from rivers we have to take into consideration the different DOM mobilization pathways. 1) Surface runoff and near-surface groundwater flow mainly drain and flush the active layer. 2) Melting ground ice releases DOM. 3) Ground ice meltwater leaches DOM from sedimentary OM upon permafrost thaw on land. 4) DOM is leached from sedimentary OM upon contact with sea water. The latter three will mobilize old OM which is believed to be highly bioavailable (see Vonk et al., 2013a, b). References: Dubinenkov, I., Flerus, R., Schmitt-Kopplin, P., Kattner, G., Koch, B.P., 2015. Origin-specific molecular signatures of dissolved organic matter in the Lena Delta. Biogeochemistry 123, 1-14. Fritz, M., Opel, T., Tanski, G., Herzschuh, U., Meyer, H., Eulenburg, A., Lantuit, H., 2015. Dissolved organic carbon (DOC) in Arctic ground ice. The Cryosphere 9, 737-752. Vonk, J.E., Mann, P.J., Davydov, S., Davydova, A., Spencer, R.G.M., Schade, J., Sobczak, W.V., Zimov, N., Zimov, S., Bulygina, E., Eglinton, T.I., Holmes, R.M., 2013a. High biolability of ancient permafrost carbon upon thaw. Geophysical Research Letters 40, 2689-2693. Vonk, J.E., Mann, P.J., Dowdy, K.L., Davydova, A., Davydov, S.P., Zimov, N., Spencer, R.G.M., Bulygina, E.B., Eglinton, T.I., Holmes, R.M., 2013b. Dissolved organic carbon loss from Yedoma permafrost amplified by ice wedge thaw. Environmental Research Letters 8, 035023

Variabiliteit in farmacokinetiek van intraveneuze paracetamol bij gezonde ouderen

BACKGROUND and OBJECTIVE: Paracetamol is the most used analgesic in older people. The physiological changes occurring with ageing influence the pharmacokinetics of paracetamol and its variability. A population pharmacokinetic analysis to describe the pharmacokinetics of intravenous paracetamol in fit older people was performed. Thereafter, simulations were conducted to illustrate target attainment and variability of paracetamol exposure following current dosing regimens (1000 mg q6h, q8h) using steady-state concentration (Cssmean) of 10 mg/L as target for effective analgesia. DESIGN and METHODS: A population pharmacokinetic-analysis, using NONMEM 7.2, was performed based on 601 concentrations of paracetamol from 30 fit older people (median age = 77.3 years [61.8- 88.5], body weight = 79 kg [60-107]). All had received an intravenous paracetamol dose of 1000 mg – over 15 min – after elective knee surgery. RESULTS: A two-compartment pharmacokinetic-model best described the data. Volume of distribution of paracetamol increased exponentially with body weight. Clearance was not influenced by any covariate. Simulations of the standardized dosing regimens resulted in a Css-mean of 9.2 mg/L (q6h) and 7.2 mg/L (q8h). Variability in paracetamol pharmacokinetics resulted in a Css-mean above 5.4 (q6h) and 4.1 mg/L (q8h) in 90%, and above 15.5 (q6h) and 11.7 mg/L (q8h) in 10% of the population. CONCLUSION: The target concentration was achieved in the average patient with 1000 mg q6h, while q8h resulted in underdosing for the majority of the population. Due to large unexplained interindividual variability in paracetamol pharmacokinetics a relevant proportion of the fit older people remained either under- or overexposed

Clinical applications of population pharmacokinetic models of antibiotics: Challenges and perspectives

Because of increasing antimicrobial resistance and the shortage of new antibiotics, there is a growing need to optimize the use of old and new antibiotics. Modelling of the pharmacokinetic/pharmacodynamic (PK/PD) characteristics of antibiotics can support the optimization of dosing regimens. Antimicrobial efficacy is determined by susceptibility of the drug to the microorganism and exposure to the drug, which relies on the PK and the dose. Population PK models describe relationships between patients characteristics and drug exposure. This article highlights three clinical applications of these models applied to antibiotics: 1) dosing evaluation of old antibiotics, 2) setting clinical breakpoints and 3) dosing individualization using therapeutic drug monitoring (TDM). For each clinical application, challenges regarding interpretation are discussed. An important challenge is to improve the understanding of the interpretation of modelling results for good implementation of the dosing recommendations, clinical breakpoints and TDM advices. Therefore, also background information on PK/PD principles and approaches to analyse PK/PD data are provided

A clinically relevant pharmacokinetic interaction between cyclosporine and imatinib

Purpose: Cyclosporine A (CsA) and imatinib are both CYP3A4 and P-glycoprotein substrates. Concomitant use after hematopoietic stem cell transplantation (HSCT) for chronic myeloid leukemia (CML) or Philadelphia chromosome-positive (Ph+) acute lymphatic leukemia (ALL) may therefore result in a pharmacokinetic interaction. Although case reports and a recent small study in children indeed suggested there is a relevant pharmacokinetic interaction, a larger study in adults is lacking. In this study, we assessed the presence and extent of this interaction in patients with CML or Ph+ ALL undergoing HSCT. Methods: From a large database containing data of all patients receiving HSCT in our center between 2005 and 2015, we selected 16 patients using this drug combination. The average dose-corrected CsA concentration was calculated before and after initiation of imatinib. Results: The average dose-corrected CsA concentration increased during imatinib use in all patients, on average by 94 % (p < 0.001). Based on measured drug con